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Ladies and gentlemen, welcome back to the Rounding the Earth podcast.

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Rounding the Earth is a multimedia education project based on the popular newsletter series

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published on Substack written by applied statistician and educator Matthew Crawford.

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Topics of discussion range from critical analysis of conventional wisdom to Bitcoin and everything

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in between, in particular the ongoing plandemonium.

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Our goal is a careful examination of important topics and perspectives shaping the world

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that too few people talk about.

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Subscribe to Rounding the Earth on Locals, Substack and Rumble to join a burgeoning research

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community and to help us unflatten the Earth.

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My name is Liam Sturgis.

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I am a musician, music producer and writer slash editor coming at you live from the very

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sunny Vancouver, British Columbia, Canada, and I will be your host for today.

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But of course, never doing this alone, please allow me to introduce the author of Rounding

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the Earth and my cohost for the podcast, Matthew Crawford.

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Good afternoon, Matthew.

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Hey Liam.

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How are you doing?

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Pretty good.

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Last night I watched the hometown hockey team here, the Dallas Stars, win game seven against

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the Seattle Crackheads or Kraken, Kraken they're called.

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And that means that my two favorite teams in the playoffs this year are meeting for

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the Western Conference.

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So we're having fun here watching them, which it's nice to be able to take a break from

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all the the pandemonium work.

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Yeah, you know, I feel like based solely on proximity, I should be disappointed by that

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result.

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But I'll give you a congratulations anyway.

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Now not wasting any time.

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We've got a powerhouse of a show today and at least one of our guests may have to leave

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fairly quick.

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So let's jump in and introduce our wonderful guests for today, Mr. George Webb and Mr.

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Mark Kulag.

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How are you gentlemen?

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Great guys.

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I'm here at the CDC in Atlanta.

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So just to let you know, it's slightly resembles a fortress here in Atlanta.

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But Mark, you're up there in Massachusetts, correct?

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Yep, Massachusetts, about 20, 25 miles to the west of Boston and the hub, I think, of

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genetics and vaccines research in Cambridge, Massachusetts.

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And I'm in my little home studio here.

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I guess I should wish the two of you the best of luck.

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Good one.

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Well, just briefly, for those who don't know, George, maybe you could introduce yourself

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and just a brief background of what you do.

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I've got a couple of your books here that I picked up after your last discussion with

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Matthew.

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But do you want to just briefly introduce yourself to the audience who may, if possible,

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they don't know who you are.

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Introduce yourself to them.

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Sure.

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I've been doing citizen journalism about seven years.

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You can see the CDC logo down here.

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And this is basically what I do.

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I go to places and I point my finger because I'm not as smart as Mark Kulak.

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And Mark's the one who does the real deep dives.

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I'm not the surface diver, the show diver.

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James O'Keefe kind of fits in that.

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I'm kind of mid-depth.

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And then Mark is if you need the Titanic raised.

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So that's kind of what I do, at realgeorgeweb1.com.

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I have to say, I'm a little disappointed you're only going to be able to join us for half

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an hour because it really is the case that I think all the five of us sort of have a

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different style of research.

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And it's one of the reasons why I'm really glad to have everybody here today for what

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is such an important topic.

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Completely agree.

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I'll stay as long as the battery lasts.

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I'll stay as long as the battery goes.

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Wonderful.

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Now, Mark, George has already given you a bit of a glowing introduction there.

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Do you want to introduce yourself as well to those who, again, somehow may not have

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seen your previous work?

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Sure.

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My name is Mark Kulak.

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My show is Hustatonic.live, named after River in Connecticut.

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I'm a citizen researcher, archivist, worked in the data storage industry for a long time,

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and I used my professional skills as an analyst, competitive intelligence analyst, et cetera,

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to do research of historical and current events, trying to get deeper insights.

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And I've been, I've collaborated with George on and off for several years right now.

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He was one of the...

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The first two, I would say, to do real crowdsourcing from his audience.

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And while most people wouldn't have given me the time of day, George did.

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So I'm still thankful for that.

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Great to be here.

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Wonderful.

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Yeah.

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Thank you for joining us.

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And speaking of joining us, ladies and gentlemen, please welcome back to the show the one, the

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only Jonathan J. Cooey, Giga-Owned Biological.

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Thank you for joining us.

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How are you being, do you want to just briefly reintroduce yourself as well before we dive

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in?

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Sure.

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Thanks very much for that.

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I'm just happy to be here.

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My name is Jonathan Cooey.

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I'm a recovering academic biologist who teaches biology on Twitch and privately consults for

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a few people, but that's about it.

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Just trying to make a living, scraping by as a biologist on the internet.

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You can find me at Giga-OwnedBiological.com.

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Thanks.

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Fantastic.

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Well, Matthew, how about we dive right in?

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Yeah.

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So there are a lot of ways we could do this, but I decided to take a lot of the evidence

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that I had or a lot of this, there's evidence, there's story, there's some education here,

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but to put it into a slideshow, then we could just sort of discuss as we go.

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And maybe the way I'm going to do it is we may go through some slides and we may stop

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and discuss for a little bit, but you guys can feel free to jump in whenever, but I may

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go through three or four at a time.

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And George, I stole a slide from you right up front, as you can tell, or an image.

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And maybe you want to, what connects the US invasion of Iraq in 2003 to remdesivir?

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Can you do that in 30 seconds?

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Sure.

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This all relates to Rumsfeld here shaking the hand of Saddam Hussein in 1983.

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A lot of people think that Rumsfeld was the guy who gave Saddam Hussein anthrax.

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Maybe they built a lab there called Wimber with 38 PhDs, not far from Jonathan Cooey's

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old Penn State.

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But they basically were maybe giving anthrax to Iraq.

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And we might do the first war to contain Saddam Hussein for anthrax.

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This Wimber lab, by the way, is where Bob Malone is on 9-11, we believe.

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And then we do a second invasion of Iraq.

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We need countermeasures for anthrax on both occasions.

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And so all the corona players, the corona 9-1-1 players are the same players as the corona

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or the anthrax 9-11 players, Bob Gallo, Darrell Galloway, Darrell Ricke, Steven Hatfield,

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Bob Malone, Michael Callahan, David Hone.

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So that's my interest in this, just looking at the long arc here of anthrax.

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And later on at UPMC, the coronathrax, the coronathrax.

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Well, let's dive right in.

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We'll start out with, let's do a brief history of remdesivir.

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And I did steal a little bit just directly from Wikipedia.

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So I'll go ahead and any place I didn't say Wikipedia, there's the citation.

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But remdesivir goes back to 2009, originally created to treat hepatitis C and respiratory

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synctitial virus, which oddly just sort of emerged out of season somewhat recently.

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But it didn't work.

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And so they came back and tried it for Ebola and Marburg.

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And it's been found to have in vitro effects on some viruses, which really isn't

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that hard considering that viruses die when exposed to things like sunlight.

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Right. It's actually hard not to kill a virus in vitro.

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So I mentioned that just because, you know, I don't think it really ever showed any kind

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of particularly great promise, you know, prior to now.

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But, you know, Gilead Sciences and some U.S. government and academic institutions,

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we'll come back to some of those later.

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And then I guess U.S. AMRID jumped into the game a little bit.

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But, you know, it never really, it was never approved anywhere in the world

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for anything at all whatsoever before the plant ammonium.

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So, well, it was given an orphan designation actually in 2016, which is something

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that it allows the drug companies just to have a different legal status in order to,

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in order to possibly have some chance of recouping costs.

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So it was kind of on the back burner and not approved anywhere in the world.

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Any thoughts before we move on?

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Well, I mean, Rumsfeld was the chairman of the company of Gilead and his handpicked person was

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John C. Martin to do all those, not just that vaccine antiviral, but also hep C

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and also their HIV vaccine.

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So this has had a long history with John C. Martin at Remdesivir.

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Yeah. And the company changed kind of quickly.

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Gilead was founded in 1987, original name Oligogen.

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I don't know if I'm saying that right.

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But we've got, you know, Washington University in St. Louis, which was where I went to college,

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Johns Hopkins School of Medicine and Harvard Business School.

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And so very quickly, somehow he gets in contact with Donald Rumsfeld and convinces him

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to be on the board of directors like a year after the company's founded.

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So Rumsfeld is not running the show yet, but he's on the board of directors and the company.

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Right now, it's a biotech company in the early stages.

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And so they're working on making small strands of DNA, antisense therapy.

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You know, early on, this is even like pre-Human Genome Project,

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which I was actually part of for a scarce few weeks in 1995,

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right after they finished sequencing the human genome.

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But this is before all that. So, you know, it's very early on.

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But the company evolved pretty quickly. And here's Donald Rumsfeld.

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And by the way, that is a make-believe picture of Donald Rumsfeld with a nuclear bomb going off in the background.

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That's just the way I imagine him. I don't know why.

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But yeah, he was named chairman of Gilead Sciences in 1997 and was there for a few years before,

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for the second time, becoming the Secretary of Defense.

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He was both the youngest man to become Secretary of Defense and also the oldest,

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which is an interesting piece of his story.

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So thoughts here, Mark?

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Oh, you're on mute, Mark.

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No, no, I'm enjoying it. Yeah, the company has a they struggle to come out with products until until Tamiflu,

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I think was their first big product.

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John C. Martin, who George mentioned just a little while ago, was their CEO for almost 20 years.

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Starting in, I think, it's 97, 98 up till 2016, I believe.

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Yeah, and they kind of bought and sold companies.

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And John C. Martin's father, I think, didn't he synthesize NAC?

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Is that correct, George? There was some.

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I don't know that one. I was just going to say I would throw in Donald Rumsfeld as the shadow

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secretary of defense during Ronald Reagan and George Bush as well, because the PEPFAR and so forth

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with all the stuff with Ronald Reagan really was a shadow defense program.

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And also the Scoop Jackson, Mark's covered Scoop Jackson Foundation as was a sort of a front.

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Now it's Bill and Melinda Gates. But I don't know about NAC.

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That's a good question. Jonathan Cooey would have a much better angle on that.

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Well, one thing I noticed is that by the 90s, they're getting into the HIV game.

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And yeah, they got Tamiflu.

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But other than that, they seem to be seem to have started to focus more on HIV specifically.

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And but then more recently, let's see, 2003.

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What do we have going on here?

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Well, they during the avian flu pandemic scare, Gilead Sciences revenue from Tamiflu almost

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quadrupled to forty four point six million.

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Wow, that seems like a pedestrian number these days.

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That's the kind of number that would have been scandalous for people to hear back then.

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Right. And these days, if you're not saying billion with a B, I mean, you're just talking about

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like belly button lint, you know.

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Well, if you want to look at their HIV drug, it was also made through a false flag terror

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campaign that was 83, which created the presidential emergency plan for for AIDS, which was PEPFAR.

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All the same people that were in all your favorite players for coronavirus, Berks, Redfield,

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Fauci all came out of PEPFAR.

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So I would argue that all of the blockbuster drugs, Jonathan C. Martin did came from sort

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of terror, false flag incidents.

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Interesting.

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I can't remember the name of their HIV drug, but it was a blockbuster and it was extremely

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expensive as well.

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Well, more recently, they've been into kinase biology and chemistry.

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They acquired Arresto Biosciences for 225 million.

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They acquired Calistoga Pharmaceuticals for 375 million.

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I don't know these names.

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Anybody here?

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Well, I'll just say this.

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Jonathan's the expert.

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So, Jonathan, I'll defer to you, but there's a lot of work in silencing the immune system.

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The immune system has chemical messengers called interferons and interleukin, IL or

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IN, usually abbreviations.

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So if you can quiest the immune system, that acts as a sword for your side.

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You can cause a cytokine storm in your enemy.

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That's a good thing.

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They get very tired, flu-like symptoms, shortness of breath, heart attacks when they exert themselves.

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And then you quiest your system, Dr. Frank Plummer talked about this with HIV.

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So a lot of these small peptide chains, 10, 12 amino acids long peptide chains can be

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analogs or look a lot like these chemical messengers.

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So a lot of these companies are involved, antisense and silencing RNA is what it's called.

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A lot of them are these short chains that Bob Malone is modeling in a computer program

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with anti-degrute of EpiVAX.

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And Mark's done a lot on computer CompuVAX and the computation involved with these small

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chains.

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We'll get back to it.

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Another one of the co-founders of, and I just had to go through back to my notes.

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I haven't looked at this stuff in a while, of Gilead is Harold Weintraub.

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He was born in 45.

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He actually studied under Francis and Crick where he did his postdoc work.

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And eventually he joined the Fred Hutchinson Cancer Research Institute up in the Seattle

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area.

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And Fred Hutch is huge.

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They definitely were on the forefront of trying to find different ways of doing gene therapy

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in the 1990s.

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They got into some trouble with it with respect to some bone marrow transplants.

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University of Washington had the largest fetal cell tissue bank in the world in the 1950s,

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1960s.

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So there's a lot of dark stuff revolving University of Washington, Fred Hutch, which came out

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later, of course, in the seventies, which not many people get into.

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And when you know that the Gates, both of Bill Gates' parents were reagents of the University

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of Washington and their role there, you see that that's way more important than their,

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you know, potential or alleged family connections to the Fed Bank or whatever.

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It's always been genetics, cancer research, gene therapy, tons of money coming out of

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the government programs to allow the creation of companies, corporations using college research

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dollars.

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But anyways, going back to Harold Weintraub, one of the three co-founders, he died of an

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aggressive brain cancer.

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And I think he was only 49 years old in 1995, not too long after really Gilead got started.

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So the company does have a little bit of a legacy of some of the forefront scientists

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there, succumbing to early demises.

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Well before we go too far, maybe we'll just take a quick look at, you know, the fact that

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there are a lot of the ordinary things that we expect these days from pharmaceutical companies,

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funneling kickbacks, lawsuits over intellectual property and all that kind of stuff.

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Well now let's move to the story that's probably a little bit more important for most of the

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audience.

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It's good to have some background, right?

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It's good for people to get a sense that there are these connections that we've talked about

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already.

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Somebody could probably write a book already on what we've talked about.

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But how did Remdesivir get to be the standard of care?

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And on the left here, this is actually the beginning of a chapter of a book that I was

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writing back in 2020.

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And you know, what I'm doing is I'm going to early 2020.

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February 4th, Chinese medical researchers declared the urgent need to identify effective

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antiviral agents to combat 2019 in Cove, which was the original name for SARS-CoV-2 or might

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have been the original name for SARS-CoV-2.

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And the letter goes on to detail how chloroquine and Remdesivir showed greater promise than

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other candidates during in vitro tests conducted by Chinese researchers.

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Well that's interesting that for whatever reason, whatever things that they might have

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tested, they have hydroxychloroquine, which for anybody in the audience who doesn't know,

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hydroxychloroquine had 17 years of research backing the notion that it was going to be

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a good candidate for stopping coronavirus.

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Whereas Remdesivir had never really worked on anything.

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So you've got literally the most repurposed drug perhaps in the history of medicine and

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something that has never worked.

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And in China, they picked up these two.

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How amazing, right?

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And then on the right, that's actually part of the letter that is actually the beginning

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of it.

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And so early in 2020, we've got the question that's going around.

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Are there any viable coronavirus treatments?

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Can I just make a quick comment on the pairing of hydroxychloroquine and Remdesivir?

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Those are called pairing studies.

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It's for when you have a cocktail, when you're evaluating a cocktail.

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And this was used a lot in HIV.

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And what it allows you to do, it allows you to put in a top horse with a dog and say it's

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a teen and you evaluate it as a pair.

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And the pair that evaluated that pair of drugs was Zhang Li of the Wuhan Institute of Virology

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and Michael Callahan of DARPA.

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And that's how we got the early signal that Bob Malone talks about that hydroxy Remdesivir

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might be the standard of care.

301
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And also you're going to find out later how hydroxychloroquine gets knocked out.

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Mark will talk about domain.

303
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I won't say it was thunder.

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That's his research.

305
00:21:51,240 --> 00:21:54,520
You know, maybe we go ahead and talk about domain now.

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I've got it in like slide 80 or something like that.

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But George, if you're going to have to go before that, maybe this is the moment.

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Go ahead and explain what domain is.

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It's a DARPA program run by the DTRA, Defense Threat Reduction Agency.

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It's using computational methods.

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Four different teams were established.

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One was at the University of Vanderbilt in Tennessee.

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There was three other teams.

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I think one of them was the University of Alabama, Birmingham, where Michael Callahan

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studied at Southern Research.

316
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There's two others, but they were four teams competing.

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There was a team up in Boston, I believe, looking at what's known as the regional binding

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domain.

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And what it's doing is trying to say, is there a safe, effective drug that's been successful

320
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in the market and tested that we could use quickly to stop this pandemic?

321
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That's what domain is supposed to be about.

322
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And so these supercomputers were used in this process.

323
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You have various different versions of this.

324
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Bob Malone was involved in this program for a while.

325
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His protege, an Air Force colonel by the name of Dan Wattendorf, is really the juice behind

326
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this whole program.

327
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And I believe he was one of the key guys in Operation Warp Speed.

328
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And Wattendorf, there's a lot of information out there about him.

329
00:23:13,520 --> 00:23:17,080
Yeah, I just want to throw this out there.

330
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I feel 99% certain that domain is fake.

331
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And here's a reason that I'll explain why.

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Right now, we're being introduced all of a sudden to large language models.

333
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And wow, artificial intelligence has moved forward so much.

334
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It can put together paragraphs that will convince your teachers at school to give you an A.

335
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But the fact of the matter is, people have shown very quickly that whatever biases are

336
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behind the information that's being pulled in or programmed into the large language model,

337
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you wind up having these massive biases, but even assuming all of that, there are still

338
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mistakes within large language models within just one paragraph of good information.

339
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And as far as the information complexity goes, let's say that you have approximately 250

340
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characters in a sentence.

341
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The level of complexity is less than 1,000 nucleotides long.

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And that even assumes that we know exactly what nucleotides are to the same degree that

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we know what letters are.

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So the idea that we are looking at like tens of thousands of nucleotide sequences that

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make up all these amino acids and that form proteins and all this kind of stuff, the idea

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that we can hit that with today's computing power or even tomorrow or ever, like the idea

347
00:24:47,560 --> 00:24:51,920
of getting to that level of complexity, you're going to use up all the energy in the sun

348
00:24:51,920 --> 00:24:53,400
trying to compute that.

349
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OK, let me take a shot at how they did the data reduction.

350
00:24:57,280 --> 00:24:59,680
I agree with everything you just said.

351
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It's more than the atoms in the universe probability.

352
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What they did was the reason why the domain programs called the domain is they just worried

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about the part of the molecule, the antigen and the epitope that's called the regional

354
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binding domain, which is, like you said, a short section compared to the whole DNA of

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the, let's say, 30,000 base pairs.

356
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It's a short like 1,000 base pairs.

357
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But they went even further.

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Let's say my fingers define, I'm sorry to try to do this right, the fingers define the

359
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regional binding domain.

360
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They went with the subdomain strategy.

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They did proton segments, excuse me, not protons, short oligonucleotides, 10 was the number

362
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they used.

363
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And they just did one of the fingers.

364
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If let's say there's five fingers in the regional binding domain, they just substituted one

365
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finger.

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And this actually did happen with a company, Marcus covered as well, called Icasovax.

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What they do is they take the genetic innards basically out of the inside, keep the egg

368
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shell, and then they worry just about the antigen that's being presented.

369
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And so you have this configuration.

370
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And then you just do all the combinations of that middle finger, which is called a subdomain.

371
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And that's how they actually came up with the Icasovax, the University of Washington,

372
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Icasovax, the Kiesler lab.

373
00:26:13,920 --> 00:26:14,920
That's actually how they came up.

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00:26:14,920 --> 00:26:22,200
That was, like you said, Matthew, which is very adroit, is that it failed miserably.

375
00:26:22,200 --> 00:26:23,200
So I'm not saying it works.

376
00:26:23,200 --> 00:26:25,200
I'm just saying that's what they tried.

377
00:26:25,200 --> 00:26:28,880
Okay, so there's a simplification strategy.

378
00:26:28,880 --> 00:26:30,820
We don't need to do the whole thing.

379
00:26:30,820 --> 00:26:34,980
But then I'm going to point out that if it worked, we'd be doing this for every disease

380
00:26:34,980 --> 00:26:35,980
that ever was.

381
00:26:35,980 --> 00:26:41,440
And we would just be spitting out things and we would be testing how closely they matched.

382
00:26:41,440 --> 00:26:46,960
But the fact of the matter is, in biology and in medicine, mechanisms are really, really

383
00:26:46,960 --> 00:26:47,960
hard.

384
00:26:47,960 --> 00:26:53,320
We are only a decade out from discovering why aspirin works.

385
00:26:53,320 --> 00:26:57,160
Mechanisms are really hard.

386
00:26:57,160 --> 00:27:00,880
And it feels like to have a successful program like that, you would need mechanisms.

387
00:27:00,880 --> 00:27:06,320
So I still feel pretty secure saying that I don't believe that this program, I think

388
00:27:06,320 --> 00:27:14,800
that it is literally a fabrication and that maybe you need a salesman to sell that fabrication.

389
00:27:14,800 --> 00:27:22,400
Well there's what this program or this programming platform is, what it can do.

390
00:27:22,400 --> 00:27:24,320
Or what they say it can do, right?

391
00:27:24,320 --> 00:27:26,600
And those are both also complicated statements.

392
00:27:26,600 --> 00:27:29,800
So George reviewed what they said it can do.

393
00:27:29,800 --> 00:27:38,800
And what they said it can do is also based upon, well, I would say propaganda or foreshadowing,

394
00:27:38,800 --> 00:27:46,880
just this word novel, novel virus, that there can be a disease causing agent that's so unique

395
00:27:46,880 --> 00:27:53,240
that it would be impossible to survive without a unique solution to it.

396
00:27:53,240 --> 00:27:59,960
Somehow, as far as we know, humans and most animals have made it pretty far without having

397
00:27:59,960 --> 00:28:04,480
to use computers to design solutions to problems.

398
00:28:04,480 --> 00:28:09,880
But now with something novel, the threat is so serious that this is what we need to do.

399
00:28:09,880 --> 00:28:18,200
So there's been a sales pitch there that's been built up for many years with multiple

400
00:28:18,200 --> 00:28:23,040
outbreaks to convince us that this is something that we would need.

401
00:28:23,040 --> 00:28:26,920
And that's part of the description of what the product is.

402
00:28:26,920 --> 00:28:32,000
So just right there before we even get into the technicals, that is assumed.

403
00:28:32,000 --> 00:28:38,180
Because if this need of novel solutions to novel viruses doesn't exist, then there's

404
00:28:38,180 --> 00:28:41,080
no reason to have this platform at all.

405
00:28:41,080 --> 00:28:45,680
So right there, everything has to be built upon that.

406
00:28:45,680 --> 00:28:49,720
Well, I just want to throw in that there was an attempt with prophecy.

407
00:28:49,720 --> 00:28:52,520
There was an attempt with a program called Reframe.

408
00:28:52,520 --> 00:28:55,300
There was an attempt like Mark you covered with CompuVac.

409
00:28:55,300 --> 00:28:58,360
Each of these AI models gets better and better.

410
00:28:58,360 --> 00:29:04,780
And EpiVacs, I think, is the last generation or maybe something that Dan Wattendorf knows

411
00:29:04,780 --> 00:29:06,980
about that I don't.

412
00:29:06,980 --> 00:29:15,720
But this, like you said, kind of limits this complexity is key to the reduction.

413
00:29:15,720 --> 00:29:22,000
So many things like you talk to people with autoimmune disorders and doctors prescribe

414
00:29:22,000 --> 00:29:25,520
different portions of that population eight different medicines.

415
00:29:25,520 --> 00:29:26,520
Right?

416
00:29:26,520 --> 00:29:29,400
Like, yeah, a lot of times there isn't even going to be a fit.

417
00:29:29,400 --> 00:29:34,640
But I think we should go ahead and move on so that we can get to some other key parts

418
00:29:34,640 --> 00:29:35,640
of this.

419
00:29:35,640 --> 00:29:39,960
I'm going to point out right here this this article in particular, are there any viable

420
00:29:39,960 --> 00:29:40,960
coronavirus treatments?

421
00:29:40,960 --> 00:29:45,440
One of the things mentioned in this article is Nano Silver.

422
00:29:45,440 --> 00:29:50,480
And just just for the trivia of this, I want to point out that there was a person who had

423
00:29:50,480 --> 00:29:57,720
to go to court over trying to push Nano Silver as a solution to this.

424
00:29:57,720 --> 00:30:04,360
And they had previously tried to push Nano Silver during a prior epidemic also.

425
00:30:04,360 --> 00:30:08,200
And this woman, her name is Rima Labo.

426
00:30:08,200 --> 00:30:15,880
And she just so happens to be the widow of the former head of Inscom, U.S. military intelligence,

427
00:30:15,880 --> 00:30:16,880
Albert Stubblevine.

428
00:30:16,880 --> 00:30:23,360
And it's it's comes at Fort Belvoir.

429
00:30:23,360 --> 00:30:27,500
And my point here is that you there may be a solution that works.

430
00:30:27,500 --> 00:30:28,680
They're just not going to tell you about it.

431
00:30:28,680 --> 00:30:32,880
They're going to keep it as a private DARPA because if I shell out the genetics and just

432
00:30:32,880 --> 00:30:38,200
make it a nanoparticle and imitate the antigen, I can now privately take all the things that

433
00:30:38,200 --> 00:30:43,760
work in nature and now create a drug library that's a proprietary drug library for me.

434
00:30:43,760 --> 00:30:44,760
Exactly.

435
00:30:44,760 --> 00:30:51,240
And getting people to to to buy into the that they need a novel solution to a novel virus.

436
00:30:51,240 --> 00:30:59,620
You also need to create this an argument to get people to fight over, you know, Coca Pepsi

437
00:30:59,620 --> 00:31:04,400
or Ivermectin and hydroxychloroquine and have a religious war about that.

438
00:31:04,400 --> 00:31:09,080
And to the point where they are so invested in that argument that they don't even know

439
00:31:09,080 --> 00:31:14,360
that there's probably many other obvious things which would already work instead.

440
00:31:14,360 --> 00:31:16,160
And they need a new God.

441
00:31:16,160 --> 00:31:18,280
They need a new God, the new AI God.

442
00:31:18,280 --> 00:31:22,160
And look who has it for them, whether or not it's real.

443
00:31:22,160 --> 00:31:25,560
I guess we can put a pin on the question as to whether or not it's real.

444
00:31:25,560 --> 00:31:28,680
But either way, it's baiting the same solution.

445
00:31:28,680 --> 00:31:32,880
Well, there's been platforms that have tried to do something similar, right?

446
00:31:32,880 --> 00:31:38,140
You know, investigative stuff, but trying to reduce the complexity of life down to,

447
00:31:38,140 --> 00:31:45,000
you know, a few macros and an Excel sheet is very difficult to do that.

448
00:31:45,000 --> 00:31:48,320
And we've been suggested that someone has been able to do that.

449
00:31:48,320 --> 00:31:49,840
I I don't think that's possible.

450
00:31:49,840 --> 00:31:54,640
They may have repurposed something else, a little a slice of it and renamed it.

451
00:31:54,640 --> 00:31:58,920
And again, it's part of creating the narrative of, oh, guess what, novel virus.

452
00:31:58,920 --> 00:32:02,240
There's some novel solutions potentially repurposing some things.

453
00:32:02,240 --> 00:32:03,920
Oh, it spits out an answer.

454
00:32:03,920 --> 00:32:05,200
Remdesivir.

455
00:32:05,200 --> 00:32:06,200
How about that?

456
00:32:06,200 --> 00:32:08,720
I guess we should trust it because it's a computer, right?

457
00:32:08,720 --> 00:32:14,400
Well, I think one of the things to point out here from the biological perspective is that

458
00:32:14,400 --> 00:32:20,120
if we follow the story and the logic that George Webb presents, which is that they focused

459
00:32:20,120 --> 00:32:27,560
on the receptor binding domain of the spike protein, it's not my understanding of the

460
00:32:27,560 --> 00:32:31,720
mechanism of hydroxychloroquine has anything to do with the interaction with the spike

461
00:32:31,720 --> 00:32:40,560
protein, but it's it's the regulation of pH inside of the endosome that allows the virus

462
00:32:40,560 --> 00:32:45,760
to to release its genetic contents into the cell and start the infectious cycle.

463
00:32:45,760 --> 00:32:54,360
So the computer program, if it was aimed at this relatively mundane idea of identifying

464
00:32:54,360 --> 00:33:00,880
proteins that would have likely three dimensional interactions, then in no way, shape or form,

465
00:33:00,880 --> 00:33:07,360
would it be have any propensity to identify, for example, remdesivir as a drug that would

466
00:33:07,360 --> 00:33:11,520
do that remdesivir is a drug that interferes with the replication process.

467
00:33:11,520 --> 00:33:16,400
Again, completely not associated with the receptor binding domain of the spike.

468
00:33:16,400 --> 00:33:23,520
So the whole principle that they were using that as a target underscores the idea that

469
00:33:23,520 --> 00:33:27,160
it couldn't possibly have been useful in finding those drugs.

470
00:33:27,160 --> 00:33:33,760
And when it didn't go, I just want to clarify it because I think there may be some confusion

471
00:33:33,760 --> 00:33:38,080
as to whether or not hydroxychloroquine was one of the drugs that domain spat out.

472
00:33:38,080 --> 00:33:39,080
It's my understanding.

473
00:33:39,080 --> 00:33:40,080
It's not.

474
00:33:40,080 --> 00:33:47,120
The only other list I have is remdesivir, famotidine, celot coxib, which is a Pfizer

475
00:33:47,120 --> 00:33:50,240
drug for arthritis and then mectizan.

476
00:33:50,240 --> 00:33:51,240
So Ivermectin.

477
00:33:51,240 --> 00:33:56,080
I don't think hydroxychloroquine was spat out there just as a point of clarification.

478
00:33:56,080 --> 00:33:59,400
And that should have made anybody in the room scratch their head.

479
00:33:59,400 --> 00:34:00,400
Right.

480
00:34:00,400 --> 00:34:02,440
But we'll move on.

481
00:34:02,440 --> 00:34:04,080
Yeah, we'll move on.

482
00:34:04,080 --> 00:34:09,000
But I think they pointed at the H2 histamine receptor and that's why they got the answers.

483
00:34:09,000 --> 00:34:13,040
That's why they got all the antihistamines with high binding affinity.

484
00:34:13,040 --> 00:34:21,040
Celot coxib is an allergy and then the other one is for stuffy nose.

485
00:34:21,040 --> 00:34:23,720
So yeah, but we'll move on.

486
00:34:23,720 --> 00:34:27,000
So this is that March 20th article in Intelligencer again.

487
00:34:27,000 --> 00:34:31,240
And when it gets to remdesivir, you know, it kind of poo pooed hydroxychloroquine in

488
00:34:31,240 --> 00:34:32,240
the article.

489
00:34:32,240 --> 00:34:36,960
You know, it focused on the fact that it has side effects, which is kind of funny because

490
00:34:36,960 --> 00:34:42,000
the side effects are lower than the average medicine that's approved.

491
00:34:42,000 --> 00:34:48,060
But you know, with remdesivir, they focused on this quote, improve the clinical condition

492
00:34:48,060 --> 00:34:52,360
of the first patient, which I wonder how they determined that.

493
00:34:52,360 --> 00:34:55,360
I mean, most people just kind of get better.

494
00:34:55,360 --> 00:34:56,360
Right.

495
00:34:56,360 --> 00:35:03,200
I mean, how do you know in a one of one trial whether or not the medicine helped the person

496
00:35:03,200 --> 00:35:04,200
get better?

497
00:35:04,200 --> 00:35:10,080
It's kind of presumptuous, but there is this first patient.

498
00:35:10,080 --> 00:35:11,560
And Mark, I've heard you talk about him.

499
00:35:11,560 --> 00:35:12,560
Snow Homish Man.

500
00:35:12,560 --> 00:35:14,040
Is that the right phrase?

501
00:35:14,040 --> 00:35:15,040
Yes.

502
00:35:15,040 --> 00:35:23,400
The first person who was identified, systematically, presumably as having COVID, the COVID-19 disease,

503
00:35:23,400 --> 00:35:34,720
because patient zero, a 35 year old Asian male who lived in the Washington, Seattle

504
00:35:34,720 --> 00:35:40,840
area, spent three months in Wuhan, flew back on January 15th and checked himself into a

505
00:35:40,840 --> 00:35:43,360
hospital on the 18th.

506
00:35:43,360 --> 00:35:48,040
And we don't know who he is, no face, no full name.

507
00:35:48,040 --> 00:35:50,760
But immediately the CDC picked up on it.

508
00:35:50,760 --> 00:35:56,240
And like within two days or three days, they had the x-rays and they proved compassionate

509
00:35:56,240 --> 00:35:58,240
use of remdesivir.

510
00:35:58,240 --> 00:36:00,320
And miraculously, it worked perfectly.

511
00:36:00,320 --> 00:36:03,880
So he had a perfect recovery, which is a relief.

512
00:36:03,880 --> 00:36:08,440
But that's been used as a reason that, wow, this stuff could work.

513
00:36:08,440 --> 00:36:10,600
It could save lives.

514
00:36:10,600 --> 00:36:14,400
Well, and so there we are.

515
00:36:14,400 --> 00:36:21,200
We have, but very early on, we have kind of presumptuous literature with an anonymous

516
00:36:21,200 --> 00:36:23,520
individual.

517
00:36:23,520 --> 00:36:24,520
So now-

518
00:36:24,520 --> 00:36:27,400
Can I just say one thing to Jonathan's point?

519
00:36:27,400 --> 00:36:29,520
Because it's extremely important.

520
00:36:29,520 --> 00:36:34,480
But Jonathan is incredibly correct that it's hydroxychloroquine and remdesivir is inside

521
00:36:34,480 --> 00:36:35,480
the cell action.

522
00:36:35,480 --> 00:36:39,280
It's not the outside binding affinity at all.

523
00:36:39,280 --> 00:36:45,000
What happened with remdesivir in the domain studies, it was paired as it was paired, it's

524
00:36:45,000 --> 00:36:51,580
again this pairing of subverting the remdesivir below as the standard of care.

525
00:36:51,580 --> 00:36:56,680
So if you read the domain studies, it was paired in with famotidine, it was paired in

526
00:36:56,680 --> 00:36:58,680
with celicoxib, et cetera.

527
00:36:58,680 --> 00:37:00,280
So I just want to keep that in mind.

528
00:37:00,280 --> 00:37:05,040
It was never evaluated from any kind of affinity binding or any of that.

529
00:37:05,040 --> 00:37:09,840
It was always paired in as a standard of care.

530
00:37:09,840 --> 00:37:15,080
On a public relations level, it allows the possibility of false dichotomies perhaps?

531
00:37:15,080 --> 00:37:22,240
Yeah, you could put your dog in there and sneak it in.

532
00:37:22,240 --> 00:37:25,800
Well so this is an article that just came out today that I'm going to encourage people

533
00:37:25,800 --> 00:37:31,400
to go find and read by Dr. Todd Kinion, who's somebody I've talked with.

534
00:37:31,400 --> 00:37:32,960
He's a good fellow.

535
00:37:32,960 --> 00:37:37,520
He was writing about the Diamond Princess and I learned a little bit new, some new stuff

536
00:37:37,520 --> 00:37:41,440
from this article, but it was good for me to revisit this because I feel like I have

537
00:37:41,440 --> 00:37:45,200
so much better grasp of just reading about this now.

538
00:37:45,200 --> 00:37:51,720
But there's thousands of people on this cruise ship and because one person had gotten off

539
00:37:51,720 --> 00:37:58,040
along the way who tested positive, that was the excuse for just beginning to lock down

540
00:37:58,040 --> 00:37:59,040
everybody.

541
00:37:59,040 --> 00:38:00,040
Right?

542
00:38:00,040 --> 00:38:02,320
So you have thousands of people on this cruise ship.

543
00:38:02,320 --> 00:38:06,080
One age 69 years old.

544
00:38:06,080 --> 00:38:10,080
And by the way, I looked up actuarial tables of 69 year olds.

545
00:38:10,080 --> 00:38:15,960
You should approximately have like one in 70 ish of them should die each year.

546
00:38:15,960 --> 00:38:20,260
And because the mortality curve ramps up so quickly, I'm going to say you would expect

547
00:38:20,260 --> 00:38:25,960
one in 50 of these people to die each year out of the, let's just call it, well, you've

548
00:38:25,960 --> 00:38:27,960
got 2,666 passengers.

549
00:38:27,960 --> 00:38:34,720
So you would expect, I don't know, 60 deaths a year, so five per month.

550
00:38:34,720 --> 00:38:37,720
And we'll look at what happens here.

551
00:38:37,720 --> 00:38:45,120
You have 14 deaths over, little over two months when you might expect 11, 12 or something

552
00:38:45,120 --> 00:38:46,120
like that.

553
00:38:46,120 --> 00:38:54,880
But this is following a very stressful experience in which about a fifth of them got SARS, were

554
00:38:54,880 --> 00:38:58,000
tested positives for SARS-CoV-2.

555
00:38:58,000 --> 00:39:02,280
And this is supposed to be a pretty deadly disease amongst the elderly.

556
00:39:02,280 --> 00:39:08,820
But ultimately, when you look at this statistically, this should say there's no real panic or maybe

557
00:39:08,820 --> 00:39:12,840
there was nothing really wrong to begin with.

558
00:39:12,840 --> 00:39:15,800
Or who knows exactly what happened here.

559
00:39:15,800 --> 00:39:20,740
But I just wanted to point out that statistically, this is not an unusual death curve.

560
00:39:20,740 --> 00:39:24,480
But I'm going to go back for a second because Todd pointed out something that I didn't

561
00:39:24,480 --> 00:39:25,560
know.

562
00:39:25,560 --> 00:39:32,120
Some of these patients received Rungdesivir.

563
00:39:32,120 --> 00:39:33,120
I didn't know that.

564
00:39:33,120 --> 00:39:34,120
Yeah, this is-

565
00:39:34,120 --> 00:39:37,880
That's because of the guy, that's because of the guy they put out there, which was Michael

566
00:39:37,880 --> 00:39:39,120
Callahan.

567
00:39:39,120 --> 00:39:43,640
They put him on the USS Pike, which was the Coast Guard cutter off Los Angeles Harbor

568
00:39:43,640 --> 00:39:46,160
with the Grand Princess, or the Diamond Princess.

569
00:39:46,160 --> 00:39:49,720
But don't forget about the Grand Princess a month before that.

570
00:39:49,720 --> 00:39:55,160
Same story in Japan for the early mass formation psychosis in February.

571
00:39:55,160 --> 00:40:00,720
Remember, you had one of these in February and then the LA one was March.

572
00:40:00,720 --> 00:40:07,320
So there was a similar type of mass formation psychosis around this in February off the

573
00:40:07,320 --> 00:40:08,320
coast of Japan.

574
00:40:08,320 --> 00:40:12,960
And by the way, my understanding is nobody actually died on the boat.

575
00:40:12,960 --> 00:40:14,600
Oh, really?

576
00:40:14,600 --> 00:40:18,680
The people who died had already disembarked.

577
00:40:18,680 --> 00:40:26,320
So I don't know if I have that 100% right, but I'm going to jump forward a little bit.

578
00:40:26,320 --> 00:40:36,360
This is May 1st, 2020, Trump announcing the EUA for Rungdesivir and he has the head of

579
00:40:36,360 --> 00:40:43,560
Gilead in his office with him for this nice warm presentation.

580
00:40:43,560 --> 00:40:48,180
Now I'm going to talk about dichotomies in a little bit different way.

581
00:40:48,180 --> 00:40:53,400
This is something that I felt like I recognized.

582
00:40:53,400 --> 00:40:58,840
The moment I felt like I saw things wrong, maybe like beginning of March, I started to

583
00:40:58,840 --> 00:41:01,680
pay attention to Dede Aurel's work.

584
00:41:01,680 --> 00:41:07,000
And I instantly felt that there was something wrong going on, but especially I was really

585
00:41:07,000 --> 00:41:10,840
convinced on March 19th when I saw the Trump press conference.

586
00:41:10,840 --> 00:41:17,620
He mentions hydroxychloroquine and Rungdesivir and I feel like I'm watching a movie.

587
00:41:17,620 --> 00:41:20,660
And everything just felt so surreal.

588
00:41:20,660 --> 00:41:29,400
But I've got this theory that ash conformity can be made much more extreme if you have

589
00:41:29,400 --> 00:41:34,580
something like dichotomous chiefs, the chief of your tribe and the chief of the other tribe.

590
00:41:34,580 --> 00:41:40,400
Because not only do we have this Dunbar number and the people within our circle we trust

591
00:41:40,400 --> 00:41:44,480
more, they're going to make, if we're going to be fooled by somebody, we're going to be

592
00:41:44,480 --> 00:41:49,880
fooled by them being fooled and going memetically with the flock with them.

593
00:41:49,880 --> 00:41:53,800
But I think people do have like a slot that says chief.

594
00:41:53,800 --> 00:41:56,800
And we live in such a parasocial society at this point.

595
00:41:56,800 --> 00:42:02,840
I think that Trump and Fauci were arranged knowingly or not, but I think that they knew.

596
00:42:02,840 --> 00:42:05,760
That's my personal opinion.

597
00:42:05,760 --> 00:42:10,820
As the two chiefs and each one of them representing a different direction of medicine.

598
00:42:10,820 --> 00:42:16,280
But I want to throw that out there just for people to think about if nothing else.

599
00:42:16,280 --> 00:42:20,360
Well Berks and Redfield, I'm sorry to jump in, but Berks and Redfield is the same thing.

600
00:42:20,360 --> 00:42:25,120
Berks was three times the numbers in the projections that the CDC was.

601
00:42:25,120 --> 00:42:28,120
She was, you know, Silent Invasion, her book.

602
00:42:28,120 --> 00:42:31,880
She was getting her data directly from Michael Callahan on the Diamond Princess and the Grand

603
00:42:31,880 --> 00:42:32,880
Princess.

604
00:42:32,880 --> 00:42:38,340
So that and Italy was the other outbreak that she was getting her early, you know, mass

605
00:42:38,340 --> 00:42:43,180
formation psychosis doomsday predictions from.

606
00:42:43,180 --> 00:42:48,240
It's like we have Edward Bernays meets A.B. testing.

607
00:42:48,240 --> 00:42:50,280
It really feels that way in a lot of ways to me.

608
00:42:50,280 --> 00:42:56,160
But I'm going to point this out now because we're going to talk about a trial for hydroxychloroquine

609
00:42:56,160 --> 00:42:58,780
since we're talking about these dualities here.

610
00:42:58,780 --> 00:43:03,320
We've got this competition going on two days before the March 19th press conference, which

611
00:43:03,320 --> 00:43:07,040
was the first day most people had ever heard of hydroxychloroquine.

612
00:43:07,040 --> 00:43:09,160
I mean, sure, five million Americans take it.

613
00:43:09,160 --> 00:43:11,000
Six million somewhere in that ballpark.

614
00:43:11,000 --> 00:43:14,120
And some people take it when they go overseas for malaria or whatever.

615
00:43:14,120 --> 00:43:15,720
But probably the majority of Americans.

616
00:43:15,720 --> 00:43:17,960
I didn't know it when I heard it.

617
00:43:17,960 --> 00:43:20,660
That doesn't mean I hadn't heard it before.

618
00:43:20,660 --> 00:43:24,720
But it means that I, you know, no one in my family has an autoimmune disorder that would

619
00:43:24,720 --> 00:43:25,960
be using it.

620
00:43:25,960 --> 00:43:28,080
And I hadn't traveled to a malaria nation.

621
00:43:28,080 --> 00:43:29,080
Right.

622
00:43:29,080 --> 00:43:36,600
So two days apart, two days before, Bullware announced a trial on hydroxychloroquine, the

623
00:43:36,600 --> 00:43:40,520
first U.S. trial on hydroxychloroquine to the University of Minnesota.

624
00:43:40,520 --> 00:43:46,720
And not one person in the press picked up the press release.

625
00:43:46,720 --> 00:43:51,200
That's amazing when you see articles being published in the same month going, do we have

626
00:43:51,200 --> 00:43:53,640
anything that might work?

627
00:43:53,640 --> 00:43:57,140
And you have this drug that's been studied already for 17 years that a lot of people

628
00:43:57,140 --> 00:44:01,240
felt would be the first thing off the shelf and would probably work.

629
00:44:01,240 --> 00:44:05,000
So okay, what's this this study going on here?

630
00:44:05,000 --> 00:44:06,000
Okay.

631
00:44:06,000 --> 00:44:09,320
So the first U.S. trial of hydroxychloroquine is post exposure prophylaxis.

632
00:44:09,320 --> 00:44:12,080
And you've been around somebody who has the virus.

633
00:44:12,080 --> 00:44:13,520
Maybe you're going to catch the virus.

634
00:44:13,520 --> 00:44:16,920
And actually, it's actually two studies in one.

635
00:44:16,920 --> 00:44:18,480
They ran them at the same time.

636
00:44:18,480 --> 00:44:24,040
Some people had already begun to have symptoms and some people had they just had exposure.

637
00:44:24,040 --> 00:44:26,280
They were both being run out of University of Minnesota.

638
00:44:26,280 --> 00:44:30,480
One's called, people usually refer to them as the Bullware study and the Skipper study.

639
00:44:30,480 --> 00:44:32,400
But Bullware is the head of all this.

640
00:44:32,400 --> 00:44:34,500
David Bullware.

641
00:44:34,500 --> 00:44:37,080
So what what were they doing?

642
00:44:37,080 --> 00:44:38,080
What did they find?

643
00:44:38,080 --> 00:44:42,020
Well, you know, let's take a look at the affiliations real quick, because this is going to matter

644
00:44:42,020 --> 00:44:43,020
to us.

645
00:44:43,020 --> 00:44:44,020
Let's see.

646
00:44:44,020 --> 00:44:45,020
I'm looking.

647
00:44:45,020 --> 00:44:47,320
I don't see you know, you know what I don't see?

648
00:44:47,320 --> 00:44:48,880
I don't see Gilead.

649
00:44:48,880 --> 00:44:50,880
Maybe we can trust this guy.

650
00:44:50,880 --> 00:44:58,640
Oh, wait, he just forgot to throw that in there.

651
00:44:58,640 --> 00:45:06,120
So David Bullware is somebody who had, you know, work with Gilead before, but did not

652
00:45:06,120 --> 00:45:09,200
mention it in his affiliations or conflicts of interest.

653
00:45:09,200 --> 00:45:12,080
So that's kind of interesting already.

654
00:45:12,080 --> 00:45:13,280
Did you pick up on that?

655
00:45:13,280 --> 00:45:16,600
That's a good that's good work.

656
00:45:16,600 --> 00:45:20,560
A lot of what we're about to cover are actually my notes from 2020.

657
00:45:20,560 --> 00:45:23,400
When I decided we're going to do this, I went back and looked and I didn't even realize

658
00:45:23,400 --> 00:45:25,440
how much notes I'd taken.

659
00:45:25,440 --> 00:45:27,840
And some of it I didn't even fully understand until now.

660
00:45:27,840 --> 00:45:30,080
It's a lot easier in hindsight.

661
00:45:30,080 --> 00:45:31,080
Happens with me too.

662
00:45:31,080 --> 00:45:32,080
Yeah.

663
00:45:32,080 --> 00:45:36,960
But, you know, oh, look, March 24, 2020.

664
00:45:36,960 --> 00:45:42,480
He has a real good new scientific advising job, advisor for infectious diseases with

665
00:45:42,480 --> 00:45:45,480
revived therapeutics.

666
00:45:45,480 --> 00:45:46,480
The study hadn't even finished.

667
00:45:46,480 --> 00:45:49,320
I mean, it was only announced a week ago.

668
00:45:49,320 --> 00:45:50,320
Huh?

669
00:45:50,320 --> 00:45:51,760
That's nice.

670
00:45:51,760 --> 00:45:52,760
Okay.

671
00:45:52,760 --> 00:45:58,040
Well, there's something very, very interesting about about this study.

672
00:45:58,040 --> 00:45:59,720
Now I'll go ahead and say this.

673
00:45:59,720 --> 00:46:05,000
What they said in the bullware trial was, oh, hydroxychloroquine did not prove to be

674
00:46:05,000 --> 00:46:06,000
effective.

675
00:46:06,000 --> 00:46:14,240
For clarity, the hydroxy, the treatment arm was doing better than the placebo arm, but

676
00:46:14,240 --> 00:46:18,080
P was a little bit bigger than point zero five.

677
00:46:18,080 --> 00:46:20,840
So it didn't prove to be effective.

678
00:46:20,840 --> 00:46:26,560
Well, something very interesting about the trial is that it didn't use an inert placebo.

679
00:46:26,560 --> 00:46:30,920
Ordinarily, you would expect something like talc to be used.

680
00:46:30,920 --> 00:46:37,080
But in fact, for whatever reason, bullware decided to choose folate, which is interesting

681
00:46:37,080 --> 00:46:45,120
because in March 2020 also folate was being suggested as being a treatment.

682
00:46:45,120 --> 00:46:48,480
There was a paper out of Iran in preprint.

683
00:46:48,480 --> 00:46:53,000
It didn't get published for well over a year, but it was in preprint already suggesting

684
00:46:53,000 --> 00:46:59,920
a mechanism by which folate could be a blocker or blocker or inhibitor to the ACE2 furin

685
00:46:59,920 --> 00:47:03,720
enzyme and the furin cleavage site.

686
00:47:03,720 --> 00:47:07,600
So here we have this, I guess what you might call a false placebo.

687
00:47:07,600 --> 00:47:14,000
And this is not the only trial during 2020 involving hydroxychloroquine in particular

688
00:47:14,000 --> 00:47:15,000
and false placebos.

689
00:47:15,000 --> 00:47:17,680
I counted at least six.

690
00:47:17,680 --> 00:47:22,680
Three of them run at the University of Minnesota.

691
00:47:22,680 --> 00:47:27,040
So oh, yeah.

692
00:47:27,040 --> 00:47:28,120
And let's look at this.

693
00:47:28,120 --> 00:47:29,800
They said it didn't work.

694
00:47:29,800 --> 00:47:33,040
This antiviral in the bullware trial.

695
00:47:33,040 --> 00:47:39,560
But wow, it looks like the sooner you get it, the better it does.

696
00:47:39,560 --> 00:47:42,040
That kind of looks like an antiviral curve, doesn't it?

697
00:47:42,040 --> 00:47:43,040
Seems suggestive.

698
00:47:43,040 --> 00:47:50,560
Like maybe we shouldn't just be computing a p-value from yes or no.

699
00:47:50,560 --> 00:47:57,560
And then of course, Revdesivir has value the sooner you use it.

700
00:47:57,560 --> 00:47:58,560
That's great work, man.

701
00:47:58,560 --> 00:47:59,800
That really is great stuff.

702
00:47:59,800 --> 00:48:00,800
That's juice.

703
00:48:00,800 --> 00:48:01,800
Yeah.

704
00:48:01,800 --> 00:48:05,600
And then like I said, that there were actually two trials in one because it depended on whether

705
00:48:05,600 --> 00:48:09,760
or not you started having symptoms as you know, after you enrolled as to whether or

706
00:48:09,760 --> 00:48:14,240
not you were considered post exposure or considered early treatment.

707
00:48:14,240 --> 00:48:20,560
And in the Skipper trial, you also had a curve that showed the earlier that you took the

708
00:48:20,560 --> 00:48:23,620
medicine, the better it performed.

709
00:48:23,620 --> 00:48:27,920
So both of these trials, neither one of them reached statistical significance.

710
00:48:27,920 --> 00:48:30,880
Oh, but by the way, the trial was cut short.

711
00:48:30,880 --> 00:48:33,860
They only went through about a third of the number of people that they had originally

712
00:48:33,860 --> 00:48:38,800
planned in the in the prospective trial plan.

713
00:48:38,800 --> 00:48:44,160
So it was if you replicated the trials three times over, they both achieved statistical

714
00:48:44,160 --> 00:48:45,160
significance.

715
00:48:45,160 --> 00:48:46,160
Huh.

716
00:48:46,160 --> 00:48:47,160
So, okay.

717
00:48:47,160 --> 00:48:54,480
You know, what I always, always wonder too, like, you know, like, why do people even believe

718
00:48:54,480 --> 00:48:57,840
that, you know, like, do people even know what p-values are?

719
00:48:57,840 --> 00:49:00,260
You know, for the most part, they don't.

720
00:49:00,260 --> 00:49:03,960
You know, p-values are something that are better applied to something like artificial

721
00:49:03,960 --> 00:49:07,160
intelligence than they are like a one-off for a trial like this.

722
00:49:07,160 --> 00:49:11,400
But it really comes down to how it is you decide your distribution should look and what

723
00:49:11,400 --> 00:49:12,760
you know, and how you're modeling it.

724
00:49:12,760 --> 00:49:16,200
There are infinitely many p-values that are correct.

725
00:49:16,200 --> 00:49:22,240
But something that that looks at a curve like that seems like a better way to evaluate such

726
00:49:22,240 --> 00:49:23,240
a study.

727
00:49:23,240 --> 00:49:27,040
So I would say they're computing the wrong p-values.

728
00:49:27,040 --> 00:49:33,180
But let's let's take another here's a researcher, I think he's from Brazil, Watanabe, and he

729
00:49:33,180 --> 00:49:38,520
reevaluated the trial and he said, you know what, they incorrectly computed the time to

730
00:49:38,520 --> 00:49:45,440
treatment because these doses were mailed out and they didn't take this into account.

731
00:49:45,440 --> 00:49:50,280
And that once you take this into account, actually, you get a statistically significant

732
00:49:50,280 --> 00:49:54,640
positive outcome.

733
00:49:54,640 --> 00:50:00,980
There were a total of six different reevaluations, all of which found statistical significance

734
00:50:00,980 --> 00:50:03,220
in favor of hydroxychloroquine.

735
00:50:03,220 --> 00:50:07,560
And here's one from my friend, David Weissman.

736
00:50:07,560 --> 00:50:11,680
And this is the one where Bullware got taken to the mat.

737
00:50:11,680 --> 00:50:16,280
David Weissman published his reanalysis and he literally took their data.

738
00:50:16,280 --> 00:50:20,700
He got a whole he actually had to go back and forth with the Bullware team and finally

739
00:50:20,700 --> 00:50:27,280
pry the data out of their hands and then measure the smallest unit intervals he could.

740
00:50:27,280 --> 00:50:33,220
He took out a ruler and was measuring unit intervals, like literally off of a graph to

741
00:50:33,220 --> 00:50:39,680
figure out how long it was to get the best estimate of how quickly people took the medicine

742
00:50:39,680 --> 00:50:42,920
after exposure or after symptoms began.

743
00:50:42,920 --> 00:50:48,380
And he came up with a positive statistically significant result.

744
00:50:48,380 --> 00:50:54,800
And now what happened with this is he published he published this reanalysis and he made comments

745
00:50:54,800 --> 00:51:00,040
in the paper, the Bullware paper with the New England Journal of Medicine and asked

746
00:51:00,040 --> 00:51:05,040
them to recompute the p-value and they would not do it.

747
00:51:05,040 --> 00:51:06,040
They would not do it.

748
00:51:06,040 --> 00:51:07,860
And they finally just made a statement.

749
00:51:07,860 --> 00:51:12,200
We stand with David Bullware.

750
00:51:12,200 --> 00:51:13,700
And that was it.

751
00:51:13,700 --> 00:51:14,700
That's all they'd ever do.

752
00:51:14,700 --> 00:51:18,320
So they are standing on I think they're standing on zero legs.

753
00:51:18,320 --> 00:51:21,240
They're doing some kind of a guru floating in the air job.

754
00:51:21,240 --> 00:51:25,440
Yeah, you could pay a team.

755
00:51:25,440 --> 00:51:28,960
You could pay a team just to screw up other people's studies.

756
00:51:28,960 --> 00:51:37,160
Just put flies in the ointment, introduce false placebos, introduce false timing, inaccurate

757
00:51:37,160 --> 00:51:40,240
statistical reporting, all these things.

758
00:51:40,240 --> 00:51:45,400
Get their molecule, get what their molecule looks like and then farm it out to your lab

759
00:51:45,400 --> 00:51:49,440
in Russia and then have an analog produced and then get it to market faster than they

760
00:51:49,440 --> 00:51:53,520
do because they're going through the FDA and we're going to go off market.

761
00:51:53,520 --> 00:51:57,480
And we will talk about a number of ways in which it appears trials were sabotaged.

762
00:51:57,480 --> 00:52:00,400
Like I mentioned, six false placebo trials.

763
00:52:00,400 --> 00:52:03,880
I can't remember them all off the top of my head but the three at the University of Minnesota,

764
00:52:03,880 --> 00:52:10,040
there's one Barnaby was chief researcher and one Rajasingham.

765
00:52:10,040 --> 00:52:11,780
But that's one way to do it.

766
00:52:11,780 --> 00:52:14,380
There were also studies out of several dozen.

767
00:52:14,380 --> 00:52:16,720
I don't know how many early treatment studies there were.

768
00:52:16,720 --> 00:52:20,200
I'm just going to throw out like or maybe some sort of prophylaxis studies.

769
00:52:20,200 --> 00:52:23,480
Maybe there are like 80 prophylaxis studies for hydroxychloroquine.

770
00:52:23,480 --> 00:52:27,080
About 12 of them were negative for hydroxychloroquine.

771
00:52:27,080 --> 00:52:28,680
But here's an interesting fact.

772
00:52:28,680 --> 00:52:37,000
10 of those 12 that were negative were specifically studies on people with autoimmune conditions

773
00:52:37,000 --> 00:52:42,240
or else mostly people on or largely people on autoimmune largely or totally.

774
00:52:42,240 --> 00:52:43,240
And that's it.

775
00:52:43,240 --> 00:52:48,680
And if you took those out and you look, it's just a sea of positive studies.

776
00:52:48,680 --> 00:52:52,320
And it is true that finally last year the Harvard School of Medicine did their own meta

777
00:52:52,320 --> 00:52:57,160
analysis and said, yeah, this is effective as a prophylaxis.

778
00:52:57,160 --> 00:53:03,680
So the Harvard School of Public Medicine and if it works as a prophylaxis, then almost

779
00:53:03,680 --> 00:53:08,800
surely that's because there's antiviral action, which means it would work at pre-exposure

780
00:53:08,800 --> 00:53:14,640
prophylaxis, post-exposure prophylaxis, early treatment.

781
00:53:14,640 --> 00:53:18,640
An antiviral should do all of those things at once or none of those things at once.

782
00:53:18,640 --> 00:53:23,040
Generally, it's possible to treat to do well in one of those without the other.

783
00:53:23,040 --> 00:53:26,520
But you know, just on the Weissman study, I want to point this out.

784
00:53:26,520 --> 00:53:33,080
When he broke people down into health care workers and non health care workers.

785
00:53:33,080 --> 00:53:43,200
For those receiving treatment in the first three days, you have about 65 percent lower

786
00:53:43,200 --> 00:53:49,600
development of symptomatic COVID, 65 percent lower.

787
00:53:49,600 --> 00:53:51,360
That's statistically significant.

788
00:53:51,360 --> 00:53:57,720
P is 0.025.

789
00:53:57,720 --> 00:53:59,960
That's the way to break things down.

790
00:53:59,960 --> 00:54:01,820
That's most of the population right there.

791
00:54:01,820 --> 00:54:02,880
That line.

792
00:54:02,880 --> 00:54:08,040
That's most of the population early treatment.

793
00:54:08,040 --> 00:54:09,040
So now here's interesting.

794
00:54:09,040 --> 00:54:13,720
I'm just sharing this just because it's fun because in August of 2021, Steve Kirsch put

795
00:54:13,720 --> 00:54:20,380
me on an email thread with David Bullware and I happened to say, no, thank you.

796
00:54:20,380 --> 00:54:25,440
This is a mass murder and a psychopath.

797
00:54:25,440 --> 00:54:30,120
And David Bullware said, no, I'm no longer talking to you anymore.

798
00:54:30,120 --> 00:54:34,620
And David Weissman said, I will always remember where I was when I received that email.

799
00:54:34,620 --> 00:54:37,560
And he called me and he said, I like the way he put it when he called me.

800
00:54:37,560 --> 00:54:40,920
He said, I will always remember where I was when Matthew Crawford called David Bullware

801
00:54:40,920 --> 00:54:42,480
a psychopath.

802
00:54:42,480 --> 00:54:43,480
And you know what?

803
00:54:43,480 --> 00:54:47,860
I tell this story not because I call a lot of people psychopaths, nor do I do I know

804
00:54:47,860 --> 00:54:50,720
if he's ever been clinically evaluated for psychopathy.

805
00:54:50,720 --> 00:54:52,840
It's not even in the DSM anymore.

806
00:54:52,840 --> 00:54:55,040
I mean, you know, David, I'm sorry.

807
00:54:55,040 --> 00:54:59,680
You know, it was a casual comment, though I think it may be true.

808
00:54:59,680 --> 00:55:02,960
If there were still such a standard.

809
00:55:02,960 --> 00:55:10,560
But but I think the point being there are times there are times when you formulated

810
00:55:10,560 --> 00:55:17,760
enough of an opinion of somebody that there is good reason to just say so.

811
00:55:17,760 --> 00:55:18,760
That's my opinion.

812
00:55:18,760 --> 00:55:20,760
I'm sticking to it.

813
00:55:20,760 --> 00:55:24,080
I agree with your assessment.

814
00:55:24,080 --> 00:55:29,200
So who funded the trials at the University of Minnesota?

815
00:55:29,200 --> 00:55:32,400
Ben and David Buzuki, and we'll talk about them.

816
00:55:32,400 --> 00:55:37,800
Steve Kirsch and, you know, more than a year later, he was still communicating with David

817
00:55:37,800 --> 00:55:46,960
Bullware despite this what seems like a very badly and obviously rigged study in my humble

818
00:55:46,960 --> 00:55:53,680
opinion Alliance of Minnesota Chinese Organizations and the Minnesota Chinese Chamber of Commerce.

819
00:55:53,680 --> 00:55:57,320
And we'll talk about three of the four of these.

820
00:55:57,320 --> 00:56:06,300
But it is interesting to see two Chinese organizations amongst the funders of this trial.

821
00:56:06,300 --> 00:56:08,960
So who are we going to talk about first?

822
00:56:08,960 --> 00:56:15,220
AMCO, Alliance of Minnesota Chinese Organizations.

823
00:56:15,220 --> 00:56:23,000
So I guess one of their amongst their leadership is Dr. John Zhang, who is a fertility doctor.

824
00:56:23,000 --> 00:56:24,240
And you know, why is that interesting?

825
00:56:24,240 --> 00:56:31,760
Well, according to Washington Post, he invented the three parent baby.

826
00:56:31,760 --> 00:56:39,120
Didn't I just hear the other day of the first three parent baby?

827
00:56:39,120 --> 00:56:41,000
Has anybody else seen this?

828
00:56:41,000 --> 00:56:43,960
No, but I am thinking of that.

829
00:56:43,960 --> 00:56:49,600
I am thinking of the South Park episode where they found a way to give monkeys four of some

830
00:56:49,600 --> 00:56:52,960
things.

831
00:56:52,960 --> 00:56:55,200
Well it goes a little bit deeper than that.

832
00:56:55,200 --> 00:57:00,120
Apparently this Dr. Zhang is friends with he Jiang Hu.

833
00:57:00,120 --> 00:57:02,060
I don't know if I'm saying that right.

834
00:57:02,060 --> 00:57:08,620
But that's the CRISPR baby guy in China who wants to make designer babies.

835
00:57:08,620 --> 00:57:10,200
So how interesting is that?

836
00:57:10,200 --> 00:57:12,080
Not making designer babies, Matt.

837
00:57:12,080 --> 00:57:14,880
He's curing AIDS.

838
00:57:14,880 --> 00:57:17,120
He made them invulnerable to AIDS.

839
00:57:17,120 --> 00:57:18,840
He created super children.

840
00:57:18,840 --> 00:57:22,860
Don't don't don't mischaracterize super babies.

841
00:57:22,860 --> 00:57:24,320
Super babies.

842
00:57:24,320 --> 00:57:25,320
Huh.

843
00:57:25,320 --> 00:57:30,240
Well, that's I kind of think this is interesting because you know, as much transhumanism talk

844
00:57:30,240 --> 00:57:33,560
as there is, there is some reality to the interest in it.

845
00:57:33,560 --> 00:57:34,560
Right.

846
00:57:34,560 --> 00:57:35,800
And this is a guy, Brian Bishop.

847
00:57:35,800 --> 00:57:41,200
I met this man in January at a dinner that I held in Austin.

848
00:57:41,200 --> 00:57:44,800
And I talked to him for only about maybe six minutes because there were a lot of other

849
00:57:44,800 --> 00:57:46,780
guests that I needed to talk to.

850
00:57:46,780 --> 00:57:53,240
But he told me while we were there that he secretly funded one of the mRNA vaccines using

851
00:57:53,240 --> 00:57:54,240
Bitcoin.

852
00:57:54,240 --> 00:57:55,680
He's a Bitcoin guy.

853
00:57:55,680 --> 00:57:56,680
He's an OG Bitcoiner.

854
00:57:56,680 --> 00:58:00,720
It goes all the way back to like the early Satoshi roundtables.

855
00:58:00,720 --> 00:58:05,000
He's in some interesting circles, some with the PayPal mafia.

856
00:58:05,000 --> 00:58:12,240
He's friends with one of the guys around table media who ran the global covid summit where

857
00:58:12,240 --> 00:58:18,920
we gave talks that just happened to be at Rockefeller's Mansion in Puerto Rico.

858
00:58:18,920 --> 00:58:25,360
You know, interesting thing about Brian Bishop, he's he calls himself a do it yourself biohacker.

859
00:58:25,360 --> 00:58:32,800
But in particular, he he was in the Human Genome Project circles funding some research

860
00:58:32,800 --> 00:58:38,640
literally at a Ukrainian bio lab.

861
00:58:38,640 --> 00:58:43,800
And that is that is reported here in this article in the MIT Technology Review.

862
00:58:43,800 --> 00:58:48,520
But also the reason he got sort of pushed out of some of these circles is he was shopping

863
00:58:48,520 --> 00:58:56,440
a business plan for designer babies.

864
00:58:56,440 --> 00:58:59,400
And so there's there is an interesting question.

865
00:58:59,400 --> 00:59:05,880
Would you want to prevent people from understanding that hydroxychloroquine works in order to

866
00:59:05,880 --> 00:59:13,400
keep the pandemic going so that you can start testing genetic products?

867
00:59:13,400 --> 00:59:19,920
When Brian and I discussed whether or not the mRNA vaccines worked, what he said was

868
00:59:19,920 --> 00:59:22,920
it depends on what you mean by worked.

869
00:59:22,920 --> 00:59:24,600
Did it stop the disease?

870
00:59:24,600 --> 00:59:26,560
I don't think so.

871
00:59:26,560 --> 00:59:30,760
Did it were cells successfully transfected?

872
00:59:30,760 --> 00:59:33,560
Then I think so.

873
00:59:33,560 --> 00:59:37,400
And I'm paraphrasing him, but that's pretty close to his words.

874
00:59:37,400 --> 00:59:45,720
Well, you're opening up a really interesting scenario, if I may speak for a moment.

875
00:59:45,720 --> 00:59:51,400
One is the whether or not hydroxychloroquine is helpful or not.

876
00:59:51,400 --> 00:59:57,960
And you know, there's correlations that it has had it has helped.

877
00:59:57,960 --> 01:00:02,680
And I don't really want to speak to to that or not.

878
01:00:02,680 --> 01:00:09,280
The argument over the like three or four different things of the whole world of medicine clearly

879
01:00:09,280 --> 01:00:14,880
gets people to forget about the fact that secondary bacterial infections are treated

880
01:00:14,880 --> 01:00:17,100
quite well with antibiotics.

881
01:00:17,100 --> 01:00:23,380
Very high correlation of proper use of existing medicines for existing symptoms and people

882
01:00:23,380 --> 01:00:27,200
usually more often than not getting better.

883
01:00:27,200 --> 01:00:28,200
So there's that.

884
01:00:28,200 --> 01:00:33,880
There is the an antibiotics use started to collapse right before the pandemic in a lot

885
01:00:33,880 --> 01:00:34,880
of nations.

886
01:00:34,880 --> 01:00:45,400
There's there's the the potential potential misuse of remdesivir intentional or not, which

887
01:00:45,400 --> 01:00:49,360
for people who are already sick, making them sicker, putting them to a state where many

888
01:00:49,360 --> 01:00:52,560
times they passed, they died.

889
01:00:52,560 --> 01:00:59,280
That creates a pathway for to bring in new medicines, more new generation of vaccines

890
01:00:59,280 --> 01:01:03,760
based upon a sense of urgency and based upon a sense of need.

891
01:01:03,760 --> 01:01:09,040
But the last thing there is you mentioned, were they looking for a pathway to test stuff

892
01:01:09,040 --> 01:01:10,800
to get new types of medicine?

893
01:01:10,800 --> 01:01:13,500
And this is the and I'll make this quick.

894
01:01:13,500 --> 01:01:20,040
This is the warp speed story that too many people miss.

895
01:01:20,040 --> 01:01:25,000
I'm not a fan of for or against warp speed.

896
01:01:25,000 --> 01:01:27,120
OK, I think this whole thing is a disaster.

897
01:01:27,120 --> 01:01:28,120
Right.

898
01:01:28,120 --> 01:01:29,120
Be clear.

899
01:01:29,120 --> 01:01:37,720
However, what warp speed forced was an acknowledgement that there were vaccines that will work.

900
01:01:37,720 --> 01:01:43,440
Now without warp speed, everyone had already look at all the papers, look at the news articles,

901
01:01:43,440 --> 01:01:44,440
look at the media.

902
01:01:44,440 --> 01:01:45,920
We everyone was being seated.

903
01:01:45,920 --> 01:01:53,400
It was going to be 18 of 24 months of continuous COVID 18 to 24 months before those vaccines

904
01:01:53,400 --> 01:01:57,720
were supposed to get here, at least according to Fauci, according to Bright, according just

905
01:01:57,720 --> 01:01:59,020
about everyone.

906
01:01:59,020 --> 01:02:03,400
But everyone had to acknowledge that there's going to be some vaccines ready to go.

907
01:02:03,400 --> 01:02:04,400
And what will they do?

908
01:02:04,400 --> 01:02:07,120
They will protect people against COVID, whether they did or not.

909
01:02:07,120 --> 01:02:08,240
I'm saying they did.

910
01:02:08,240 --> 01:02:09,960
I don't think they did anything.

911
01:02:09,960 --> 01:02:15,640
However, there was planning to be a window of anything goes.

912
01:02:15,640 --> 01:02:20,480
And who knows what was going to be happening during those 18, 24, 36 months.

913
01:02:20,480 --> 01:02:23,960
Who knows what people were going to be tested with unknowingly.

914
01:02:23,960 --> 01:02:25,400
We don't know.

915
01:02:25,400 --> 01:02:29,160
It's not as if if there was no warp speed pandemics over.

916
01:02:29,160 --> 01:02:31,640
No, something else was going to happen.

917
01:02:31,640 --> 01:02:32,640
There would still be remdesivir.

918
01:02:32,640 --> 01:02:37,160
There will be a whole lot of other stuff going on.

919
01:02:37,160 --> 01:02:39,800
So just wanted to put that out there.

920
01:02:39,800 --> 01:02:40,800
Yeah.

921
01:02:40,800 --> 01:02:47,560
I think it's time also to point to J.J. Cooey's theory on data collection, which is that the

922
01:02:47,560 --> 01:02:55,160
pandemic needed to go on long enough for a lot of very valuable data collection to occur.

923
01:02:55,160 --> 01:03:00,800
And as J.J. discovered and I was in on a meeting, J.J., I guess I won't say who we were in the

924
01:03:00,800 --> 01:03:08,960
meeting with or exactly what was disclosed or can we say?

925
01:03:08,960 --> 01:03:12,880
I'm not sure what you're about to say, so I guess you should be careful for the moment.

926
01:03:12,880 --> 01:03:15,000
I'll just say universities.

927
01:03:15,000 --> 01:03:17,920
Yeah, we have to be careful with that.

928
01:03:17,920 --> 01:03:23,680
OK, well, let's just say there was a lot of genetic data collection going on.

929
01:03:23,680 --> 01:03:27,400
Certainly we know how that could occur.

930
01:03:27,400 --> 01:03:31,640
And just to give you guys some buffer, I've also heard that I guarantee you not from the

931
01:03:31,640 --> 01:03:33,640
same source.

932
01:03:33,640 --> 01:03:36,880
There's no one person who can be accused of leaking anything.

933
01:03:36,880 --> 01:03:40,720
I know all we have to do is make sure that we don't say where particular suits are being

934
01:03:40,720 --> 01:03:46,960
filed, but we can definitely say that the testing swabs and the testing materials that

935
01:03:46,960 --> 01:03:56,040
were produced as a result of mandatory covid testing can be qualified as remnants and remnants

936
01:03:56,040 --> 01:03:57,760
can be resold.

937
01:03:57,760 --> 01:04:01,960
So remnants from abortions can be resold.

938
01:04:01,960 --> 01:04:04,980
Remnants from surgeries can be resold.

939
01:04:04,980 --> 01:04:09,600
Remnants from blood donors can be resold.

940
01:04:09,600 --> 01:04:17,560
Remnants from any any potentially any material generated from any normal medical procedure

941
01:04:17,560 --> 01:04:23,120
can be resold as remnants if there's some research value to it.

942
01:04:23,120 --> 01:04:32,040
And there were many places in the United States in particular that I know of where pre existing

943
01:04:32,040 --> 01:04:37,360
infrastructure in the form of bureaucracy and people and contracts were already in place

944
01:04:37,360 --> 01:04:46,160
to share any potential testing remnants generated by any testing of the student body.

945
01:04:46,160 --> 01:04:49,360
And for people here, here's an explanation that a lot of people will understand, which

946
01:04:49,360 --> 01:04:54,160
is once you throw something in the trash, law enforcement can look through your trash,

947
01:04:54,160 --> 01:04:55,160
right?

948
01:04:55,160 --> 01:04:56,440
In fact, anybody can.

949
01:04:56,440 --> 01:05:00,280
Once you've thrown it away, anybody can just take your trash, right?

950
01:05:00,280 --> 01:05:03,600
But you know what, if you know that there's going to be something valuable thrown in the

951
01:05:03,600 --> 01:05:11,640
trash, you can have a routine for having it packaged up, maybe even labeled.

952
01:05:11,640 --> 01:05:21,240
And now you have personalized collected trash, which could include your genetic samples organized

953
01:05:21,240 --> 01:05:23,900
possibly at universities.

954
01:05:23,900 --> 01:05:29,900
And perhaps that is how you achieve alignment on getting universities to go along with with

955
01:05:29,900 --> 01:05:36,880
vaccine mandates and making sure that everybody or almost everybody there has taken a vaccine.

956
01:05:36,880 --> 01:05:42,720
This is just the mention of the Ukrainian bio labs from the MIT technology review article.

957
01:05:42,720 --> 01:05:48,320
But now I'm going to talk about David Buzuki because Steve is funny.

958
01:05:48,320 --> 01:05:54,440
Steve and I had talked about Buzuki once before, but he acted like he didn't know who he was.

959
01:05:54,440 --> 01:06:02,440
But what he said was Buzuki wound up not only co-funding that trial with him, but also giving

960
01:06:02,440 --> 01:06:08,560
$100,000 to Steve's foundation for the flu voxamine trial.

961
01:06:08,560 --> 01:06:11,720
And Steve is asking why would he do that if he's a bad fellow?

962
01:06:11,720 --> 01:06:13,640
Flu voxamine showed tremendous efficacy.

963
01:06:13,640 --> 01:06:18,280
If he wanted to lock down kids, flu voxamine trial would be the last donation he would

964
01:06:18,280 --> 01:06:19,280
ever want to give.

965
01:06:19,280 --> 01:06:22,440
How do you explain that?

966
01:06:22,440 --> 01:06:23,440
Any thoughts?

967
01:06:23,440 --> 01:06:26,640
You mean Prozac, right?

968
01:06:26,640 --> 01:06:28,240
You mean Prozac?

969
01:06:28,240 --> 01:06:29,240
It's not quite Prozac.

970
01:06:29,240 --> 01:06:33,280
I mean, you know, it's it's a luvox.

971
01:06:33,280 --> 01:06:40,600
But we see the same things.

972
01:06:40,600 --> 01:06:46,240
And let's face it, this trial that showed 100% efficacy.

973
01:06:46,240 --> 01:06:50,200
I just don't believe that.

974
01:06:50,200 --> 01:06:51,480
I don't believe that.

975
01:06:51,480 --> 01:06:56,680
And the University of Minnesota has had a lot of medical trial scandals over the past

976
01:06:56,680 --> 01:06:57,680
few years.

977
01:06:57,680 --> 01:07:03,520
There was at least one scandal of like just totally faked image data.

978
01:07:03,520 --> 01:07:09,600
But the bioethicist there, once he started to push back against one of these, actually

979
01:07:09,600 --> 01:07:14,040
got ostracized by his peers and he just went to war with them.

980
01:07:14,040 --> 01:07:20,040
But there's been a whole bunch of shady research scandal stuff at the University of Minnesota,

981
01:07:20,040 --> 01:07:24,280
which makes me wonder if Steve put that trial in the hands of the wrong person, whether

982
01:07:24,280 --> 01:07:26,560
or not I can't I don't know who designed the trial.

983
01:07:26,560 --> 01:07:28,560
So I wouldn't be able to say for sure.

984
01:07:28,560 --> 01:07:31,240
I don't think it was actually done at the University of Minnesota, but it may have been

985
01:07:31,240 --> 01:07:37,320
concocted there very possibly, given that we know over a year later, he's working with

986
01:07:37,320 --> 01:07:39,320
David Bullwere still.

987
01:07:39,320 --> 01:07:43,720
I still think that this kind of goes back to something that was mentioned earlier, too.

988
01:07:43,720 --> 01:07:46,800
And it's kind of appropriate to stick it in here.

989
01:07:46,800 --> 01:07:54,760
And that is that a lot of these early treatment drugs, they don't have even a viable mechanistic

990
01:07:54,760 --> 01:07:59,560
explanation for why they think that this would help with a coronavirus infection.

991
01:07:59,560 --> 01:08:05,640
And everything that we know about their pharmacology would suggest that they're mechanistically

992
01:08:05,640 --> 01:08:10,980
unrelated to the infection or to the immune response to it.

993
01:08:10,980 --> 01:08:18,440
So it is perplexing to me that people put so much effort and time into investigating

994
01:08:18,440 --> 01:08:23,920
how a anti psychotic or whatever you want to classify these drugs as would have any

995
01:08:23,920 --> 01:08:24,920
potential here.

996
01:08:24,920 --> 01:08:33,400
It is as random, quite frankly, as to suggest that psilocybin or LSD or or anything else

997
01:08:33,400 --> 01:08:38,760
that was primarily understood as something that has psychological effects would be appropriate

998
01:08:38,760 --> 01:08:40,240
for a respiratory disease.

999
01:08:40,240 --> 01:08:46,240
Well, let's ask ourselves, what would a person want if they wanted to fund a trial that was

1000
01:08:46,240 --> 01:08:54,820
a terrible trial that tanked hydroxychloroquine and would want Luvox to work or for people

1001
01:08:54,820 --> 01:08:56,300
to think that Luvox works?

1002
01:08:56,300 --> 01:08:57,680
What kind of a person?

1003
01:08:57,680 --> 01:08:59,280
Oh, let's see.

1004
01:08:59,280 --> 01:09:01,760
Oh, my goodness.

1005
01:09:01,760 --> 01:09:02,760
My goodness.

1006
01:09:02,760 --> 01:09:07,720
His company IPO for thirty eight billion dollars in twenty twenty one.

1007
01:09:07,720 --> 01:09:08,840
That's thirty eight billion.

1008
01:09:08,840 --> 01:09:14,640
That's a three and an eight and a B. In front of the alien.

1009
01:09:14,640 --> 01:09:18,120
Because his company is roadblocks.

1010
01:09:18,120 --> 01:09:19,520
Buzookies.

1011
01:09:19,520 --> 01:09:21,720
If I'm saying that right.

1012
01:09:21,720 --> 01:09:28,280
Roblox, Rob Roblox, Roblox, Roblox, Roblox, Roblox, Roblox, Roblox, Roblox, Roblox, Roblox,

1013
01:09:28,280 --> 01:09:30,640
my kids have that game.

1014
01:09:30,640 --> 01:09:35,200
OK, you may want to think hard about that after we talk about this game.

1015
01:09:35,200 --> 01:09:39,240
This is like I think we are going to not need to, but I'm scared.

1016
01:09:39,240 --> 01:09:40,240
Go, go, go.

1017
01:09:40,240 --> 01:09:42,080
Yeah, this is like Minecraft.

1018
01:09:42,080 --> 01:09:46,560
But with people being able to create the playing field and invite each other in.

1019
01:09:46,560 --> 01:09:50,960
So basically think Internet, basically think Internet.

1020
01:09:50,960 --> 01:09:56,200
What would OK, you know, stop clear your mind when people get on the Internet on average.

1021
01:09:56,200 --> 01:09:58,520
What is the data being passed around?

1022
01:09:58,520 --> 01:10:01,480
What proportion of the data packets are you are you thinking?

1023
01:10:01,480 --> 01:10:02,480
Are you thinking?

1024
01:10:02,480 --> 01:10:06,880
Oh, no, I don't even have to tell you what to think, do I?

1025
01:10:06,880 --> 01:10:10,320
OK, so there's a lot of content.

1026
01:10:10,320 --> 01:10:14,440
If you just start looking, Roblox controversy.

1027
01:10:14,440 --> 01:10:18,320
You're going to run into the same things for the most part.

1028
01:10:18,320 --> 01:10:22,520
You know, just think children at risk, children playing games with adults online.

1029
01:10:22,520 --> 01:10:24,720
Oh, my goodness.

1030
01:10:24,720 --> 01:10:31,320
That's a video that was premiered in the Roblox game with this artist named Lil Nas X.

1031
01:10:31,320 --> 01:10:33,720
I don't know if I'm saying that right.

1032
01:10:33,720 --> 01:10:38,480
Giving a lap dance to Satan.

1033
01:10:38,480 --> 01:10:44,440
That was premiered in this game for children that that literally 10 billion hours were

1034
01:10:44,440 --> 01:10:51,440
spent playing this game by a hundred something million kids staying home from school.

1035
01:10:51,440 --> 01:10:52,440
How do they play?

1036
01:10:52,440 --> 01:10:53,440
How do they premier it?

1037
01:10:53,440 --> 01:10:54,440
Do you know?

1038
01:10:54,440 --> 01:10:55,440
Because I don't.

1039
01:10:55,440 --> 01:11:03,720
I've watched my child play this game and they it does seem to be a way to allow like two

1040
01:11:03,720 --> 01:11:08,080
kids on two different devices to play a game.

1041
01:11:08,080 --> 01:11:13,080
And I've never caught any kind of advertising or anything in between, not saying that isn't

1042
01:11:13,080 --> 01:11:16,800
there because I'm not watching all the time, but I'm wondering how they do it and how frequent

1043
01:11:16,800 --> 01:11:17,800
it is.

1044
01:11:17,800 --> 01:11:18,800
I've got to investigate.

1045
01:11:18,800 --> 01:11:25,360
Jay, I wonder, like among the things they can do in the game, can they go into rooms

1046
01:11:25,360 --> 01:11:32,160
that perhaps would have a literally just like a digital screen set up and your avatar can

1047
01:11:32,160 --> 01:11:38,680
sit there and watch the premiere?

1048
01:11:38,680 --> 01:11:41,800
Not sure if that I know what you're talking about because I've seen something like that

1049
01:11:41,800 --> 01:11:43,080
in Fortnite too.

1050
01:11:43,080 --> 01:11:44,080
Yeah, yeah.

1051
01:11:44,080 --> 01:11:48,040
And we are, you know, people were doing that in various like because of COVID.

1052
01:11:48,040 --> 01:11:51,040
You could watch a basketball game with a headset on.

1053
01:11:51,040 --> 01:11:56,760
So I'm sure it just can tell you that their entire school, any kid that has a device has

1054
01:11:56,760 --> 01:12:01,780
roadblocks and and communicates with each other.

1055
01:12:01,780 --> 01:12:05,560
They just recently asked me to put discord on their on their phones.

1056
01:12:05,560 --> 01:12:06,560
It's crazy.

1057
01:12:06,560 --> 01:12:09,680
I can't even believe it.

1058
01:12:09,680 --> 01:12:17,400
So it is it is an all out assault if you think that that guys like us are are having to question

1059
01:12:17,400 --> 01:12:19,600
what we should put on those kids phones.

1060
01:12:19,600 --> 01:12:23,640
Well, I'm going to say this.

1061
01:12:23,640 --> 01:12:26,800
I will encourage people to do some Internet searches.

1062
01:12:26,800 --> 01:12:31,400
Know that in my notes, when I had done searches in twenty twenty, when I first heard about

1063
01:12:31,400 --> 01:12:37,480
this controversy, that most of even like the links that I had saved were no longer operational.

1064
01:12:37,480 --> 01:12:41,760
So somebody goes back and scrubs or pressures to scrub a lot of things.

1065
01:12:41,760 --> 01:12:49,000
But if but if you just get on Twitter and you type roadblocks pedophile, you will get

1066
01:12:49,000 --> 01:12:51,720
dozens of these tweets a day.

1067
01:12:51,720 --> 01:12:53,920
And here's one that I've put right up here.

1068
01:12:53,920 --> 01:12:57,400
Somebody made their own meme cartoon for it.

1069
01:12:57,400 --> 01:13:02,400
That's you know, I'm just going to encourage people to do their own research and decide

1070
01:13:02,400 --> 01:13:03,680
what to think.

1071
01:13:03,680 --> 01:13:06,440
And then I'm going to move on from here.

1072
01:13:06,440 --> 01:13:14,240
Thirty eight billion dollars just bears bears repeating.

1073
01:13:14,240 --> 01:13:19,560
So OK, how did Remdesker become the standard of care?

1074
01:13:19,560 --> 01:13:25,120
You know, the first trial that went on in China didn't go so well.

1075
01:13:25,120 --> 01:13:26,400
So what happened?

1076
01:13:26,400 --> 01:13:28,440
I guess there were some studies along the way.

1077
01:13:28,440 --> 01:13:34,040
There was one where people got out of the hospital a little bit earlier if they took

1078
01:13:34,040 --> 01:13:35,040
the medicine.

1079
01:13:35,040 --> 01:13:37,520
If you find enough endpoints.

1080
01:13:37,520 --> 01:13:41,200
If you define enough endpoints on average, you're going to get one that's statistically

1081
01:13:41,200 --> 01:13:43,200
significant.

1082
01:13:43,200 --> 01:13:44,200
Think about it that way.

1083
01:13:44,200 --> 01:13:48,840
Yeah, you take colors out of a crayon box and say people who have red shirts will get

1084
01:13:48,840 --> 01:13:53,520
cancer more than people who have blue shirts and some proportion of those pairs.

1085
01:13:53,520 --> 01:13:55,400
You have 64 crayons.

1086
01:13:55,400 --> 01:13:59,240
You have about about gosh.

1087
01:13:59,240 --> 01:14:00,240
What do you have?

1088
01:14:00,240 --> 01:14:05,360
There was in 2016, I think, different pairs of colors.

1089
01:14:05,360 --> 01:14:08,760
And if one in 20 of those are statistically significant, you're going to have just over

1090
01:14:08,760 --> 01:14:15,280
100 statistically significant outcomes just pulling crayons out of a box.

1091
01:14:15,280 --> 01:14:17,560
That's not meaningful at some point.

1092
01:14:17,560 --> 01:14:22,800
And it happens to be that that in some of these studies, they just change the endpoints.

1093
01:14:22,800 --> 01:14:26,520
This is the NIAID.

1094
01:14:26,520 --> 01:14:35,920
Just changing the primary outcome of the study in order to make it fit.

1095
01:14:35,920 --> 01:14:39,440
That's the way I read it anyway.

1096
01:14:39,440 --> 01:14:43,040
Maybe you can argue a different interpretation.

1097
01:14:43,040 --> 01:14:47,840
I feel comfortable agreeing with the world's most published microbiologist at the top of

1098
01:14:47,840 --> 01:14:51,040
the screen.

1099
01:14:51,040 --> 01:14:54,680
But some people happen to think he's a quack.

1100
01:14:54,680 --> 01:14:59,440
I don't.

1101
01:14:59,440 --> 01:15:02,920
And I'm probably not going to say that as well as you.

1102
01:15:02,920 --> 01:15:05,440
I also didn't say it right, I guarantee you.

1103
01:15:05,440 --> 01:15:08,000
But we're going to talk about him a little bit more in a moment.

1104
01:15:08,000 --> 01:15:10,440
But you know, first, here's a pit stop.

1105
01:15:10,440 --> 01:15:15,080
Wait, why did I put the slide in here?

1106
01:15:15,080 --> 01:15:21,600
OK, we've got oh, oh, oh, yeah, there was this other very obvious fraud.

1107
01:15:21,600 --> 01:15:28,960
This one published in May 22, 2020, was a supposed big data study from six continents

1108
01:15:28,960 --> 01:15:32,240
published by Surgesphere.

1109
01:15:32,240 --> 01:15:34,240
And most people have heard of this at this point.

1110
01:15:34,240 --> 01:15:37,600
But you know, I'm going to say 99.99%.

1111
01:15:37,600 --> 01:15:42,000
It was a total fabrication fraud.

1112
01:15:42,000 --> 01:15:43,680
It was retracted.

1113
01:15:43,680 --> 01:15:45,800
I told my wife on day one, we went for a walk.

1114
01:15:45,800 --> 01:15:48,600
I was like, I need to talk to you.

1115
01:15:48,600 --> 01:15:49,600
We need to take a walk.

1116
01:15:49,600 --> 01:15:50,600
Tell me I'm not crazy.

1117
01:15:50,600 --> 01:15:51,600
I told her the story.

1118
01:15:51,600 --> 01:15:54,880
Like, I read the paper and I thought instantly, like, this is fake.

1119
01:15:54,880 --> 01:15:57,520
This is totally fake.

1120
01:15:57,520 --> 01:16:01,000
And she's like, tell me why.

1121
01:16:01,000 --> 01:16:05,120
I think I convinced her after about half an hour.

1122
01:16:05,120 --> 01:16:15,200
But the interesting thing about this is the head researcher, Mandit Mehra, he was at,

1123
01:16:15,200 --> 01:16:19,400
is it called Brigham and Women's Hospital, which is interesting.

1124
01:16:19,400 --> 01:16:24,720
I've seen a lot of stories revolve around that hospital in particular, including medical

1125
01:16:24,720 --> 01:16:26,120
kidnapping stories.

1126
01:16:26,120 --> 01:16:31,080
But you know, just moving on from there, they happen to be conducting a remdesivir trial

1127
01:16:31,080 --> 01:16:32,080
there.

1128
01:16:32,080 --> 01:16:36,840
Isn't that the hospital that is Harvard's hospital?

1129
01:16:36,840 --> 01:16:41,000
And it's also the hospital that Wolinski worked at.

1130
01:16:41,000 --> 01:16:45,240
Well, they all, almost a lot of them worked there.

1131
01:16:45,240 --> 01:16:46,240
And what's her name?

1132
01:16:46,240 --> 01:16:48,320
Like, Liana Wang, is that her name?

1133
01:16:48,320 --> 01:16:49,320
Liana Wen, yeah.

1134
01:16:49,320 --> 01:16:50,920
Liana Wen, thank you.

1135
01:16:50,920 --> 01:16:53,240
Liana Wen also worked there.

1136
01:16:53,240 --> 01:16:54,240
Yes.

1137
01:16:54,240 --> 01:16:58,520
Yeah, it's part of the same, it's part of the same like Harvard Medical School network

1138
01:16:58,520 --> 01:17:04,560
that even crazier is that Wolinski, the guy who is the surgeon general, what's his name

1139
01:17:04,560 --> 01:17:05,560
again?

1140
01:17:05,560 --> 01:17:06,560
Murthy.

1141
01:17:06,560 --> 01:17:07,560
Yeah, Vivek Murthy.

1142
01:17:07,560 --> 01:17:11,840
They all worked on AIDS while they were there.

1143
01:17:11,840 --> 01:17:13,560
They raised money for it.

1144
01:17:13,560 --> 01:17:15,640
They did research on it.

1145
01:17:15,640 --> 01:17:21,120
They were assigned to that department just just out there.

1146
01:17:21,120 --> 01:17:22,120
Very interesting.

1147
01:17:22,120 --> 01:17:24,200
Well, that's why I included this slide.

1148
01:17:24,200 --> 01:17:31,360
And then, oh, oh, oh, who, who is the largest shareholder in Gilead?

1149
01:17:31,360 --> 01:17:33,120
Well, it's BlackRock.

1150
01:17:33,120 --> 01:17:42,920
And we've seen a whole lot of them during the pandemic, buying homes, sitting in castles

1151
01:17:42,920 --> 01:17:48,320
in high mountains with fingers at the corner of their mouths.

1152
01:17:48,320 --> 01:17:49,320
I don't know.

1153
01:17:49,320 --> 01:17:53,120
Well, Ed Dowd, by the way, Ed Dowd worked at BlackRock.

1154
01:17:53,120 --> 01:17:56,760
Okay, so what was this one about?

1155
01:17:56,760 --> 01:17:59,760
In the middle here, I'm forgetting when I was inserting some of these slides for so

1156
01:17:59,760 --> 01:18:00,760
let's just see.

1157
01:18:00,760 --> 01:18:03,720
And what's that Dowd's position again?

1158
01:18:03,720 --> 01:18:04,720
What does he talk about?

1159
01:18:04,720 --> 01:18:06,280
He was he was, oh, what is he talking about?

1160
01:18:06,280 --> 01:18:08,960
He talks about the insurance data.

1161
01:18:08,960 --> 01:18:11,360
And the insurance data is showing what?

1162
01:18:11,360 --> 01:18:18,040
That like a whole bunch more young adults have died since the vaccines rolled out.

1163
01:18:18,040 --> 01:18:19,040
Exactly.

1164
01:18:19,040 --> 01:18:21,840
There you go.

1165
01:18:21,840 --> 01:18:28,160
So let's see under the direction of the WHO, Roondeskier is being tested as an alternative

1166
01:18:28,160 --> 01:18:30,440
treatment COVID-19.

1167
01:18:30,440 --> 01:18:36,080
Currently COVID-19 is treated with let's see, nine members of the panel tasked with determining

1168
01:18:36,080 --> 01:18:42,480
acceptable COVID-19 treatments have disclosed financial ties to Gilead, the manufacturer

1169
01:18:42,480 --> 01:18:43,480
from Deseret.

1170
01:18:43,480 --> 01:18:45,040
Okay, this is what this is about.

1171
01:18:45,040 --> 01:18:54,760
Pence, the vice president, Pence, had a treatment guidelines panel, I think it was called, COVID

1172
01:18:54,760 --> 01:18:58,360
treatment guidelines panel with 55 members.

1173
01:18:58,360 --> 01:19:02,240
Seems like too many to me, but maybe maybe you need a lot of people.

1174
01:19:02,240 --> 01:19:04,240
More guidelines the better, I guess.

1175
01:19:04,240 --> 01:19:09,920
So there were nine who disclosed ties to Gilead out of 55.

1176
01:19:09,920 --> 01:19:14,200
And what this article says is actually they found seven more.

1177
01:19:14,200 --> 01:19:20,880
There were seven who didn't disclose financial ties to Gilead, including two of the three

1178
01:19:20,880 --> 01:19:25,480
co-chairs of the committee.

1179
01:19:25,480 --> 01:19:28,200
That's at least according to this article.

1180
01:19:28,200 --> 01:19:30,480
But I'm going to tell you something that I found personally.

1181
01:19:30,480 --> 01:19:32,640
Oh, and they go on to name names too.

1182
01:19:32,640 --> 01:19:37,080
So just in case people want to take note or check things.

1183
01:19:37,080 --> 01:19:43,880
But I'm going to tell you what I found when I was researching that same panel myself back

1184
01:19:43,880 --> 01:19:51,280
in October of 2020 was, okay, there were nine originally on the website, but interestingly,

1185
01:19:51,280 --> 01:19:56,360
two of them withdrew their affiliations to Gilead.

1186
01:19:56,360 --> 01:20:02,200
Sometime in 2020, their affiliations to Gilead just disappeared from the website.

1187
01:20:02,200 --> 01:20:08,200
And that was Rajesh Gandhi, originally reported being on the advisory board for Gilead Sciences,

1188
01:20:08,200 --> 01:20:12,600
later reported just being on the advisory board for Merck, and Pablo Tabis.

1189
01:20:12,600 --> 01:20:18,600
Now this one's interesting, Gilead and Inovio Pharmaceuticals.

1190
01:20:18,600 --> 01:20:23,760
And then later on, he just reports Inovio Pharmaceuticals.

1191
01:20:23,760 --> 01:20:32,120
Now why would it be that out of those 16 people, nine of them would hesitate to disclose financial

1192
01:20:32,120 --> 01:20:37,920
relationships with Gilead?

1193
01:20:37,920 --> 01:20:40,920
You know the answer to that.

1194
01:20:40,920 --> 01:20:47,000
Question is, did they know what the plan was going to be?

1195
01:20:47,000 --> 01:20:49,720
But at least some of them were nervous about it.

1196
01:20:49,720 --> 01:20:52,880
What do you think, Jay?

1197
01:20:52,880 --> 01:20:53,880
I don't know.

1198
01:20:53,880 --> 01:20:57,480
I don't have a good estimation of these people that we're talking about here.

1199
01:20:57,480 --> 01:21:02,080
They're farther away from my central understanding and model of all the people that are present.

1200
01:21:02,080 --> 01:21:03,080
They're participating.

1201
01:21:03,080 --> 01:21:08,440
But they could have been very, very clear.

1202
01:21:08,440 --> 01:21:13,080
I mean, these are all people that are on the business end of this operation.

1203
01:21:13,080 --> 01:21:16,760
And the business end of this operation could have been very brass tacks about it and just

1204
01:21:16,760 --> 01:21:20,560
said, this is the product we're going to push.

1205
01:21:20,560 --> 01:21:23,360
And how many people knew that it wouldn't work?

1206
01:21:23,360 --> 01:21:27,760
I bet very few of these people had any concept of how it worked or why it might or might

1207
01:21:27,760 --> 01:21:33,200
not work or even the fact that any data that they had, as you and many others have pointed

1208
01:21:33,200 --> 01:21:38,360
out, was based on early prophylactic use and not about late treatment.

1209
01:21:38,360 --> 01:21:43,400
And so even that level of knowledge and understanding wasn't really present in the chain of command

1210
01:21:43,400 --> 01:21:44,400
here, I don't think so.

1211
01:21:44,400 --> 01:21:45,400
That's an interesting thought.

1212
01:21:45,400 --> 01:21:48,080
It would be interesting to go through the list and see how many of these people are

1213
01:21:48,080 --> 01:21:53,720
MBAs and how many are biochemists or biologists of any sort, right?

1214
01:21:53,720 --> 01:21:56,760
You know, who showed some surprise that it was working?

1215
01:21:56,760 --> 01:21:58,960
It was John C. Martin.

1216
01:21:58,960 --> 01:22:01,720
And I remember hearing you say that.

1217
01:22:01,720 --> 01:22:09,840
He was interviewed in May 2020 on a relatively unknown podcast.

1218
01:22:09,840 --> 01:22:12,480
So it's just audio only.

1219
01:22:12,480 --> 01:22:17,980
And he didn't say Remdesivir wasn't going to work, but he was told that there were studies

1220
01:22:17,980 --> 01:22:21,440
from Fauci that it was looking promising.

1221
01:22:21,440 --> 01:22:28,960
And his response was, I look forward to seeing the data, which is corporate speak for I don't

1222
01:22:28,960 --> 01:22:32,120
believe you, right?

1223
01:22:32,120 --> 01:22:34,960
You don't say, wow, I expected that.

1224
01:22:34,960 --> 01:22:38,120
I knew all that work was going to pay off.

1225
01:22:38,120 --> 01:22:41,880
He was like, huh, well, I look forward to seeing it.

1226
01:22:41,880 --> 01:22:44,440
And he was very gentlemanly about it.

1227
01:22:44,440 --> 01:22:51,000
And he dies by tripping on a sidewalk in Palo Alto, California, on the end of March of 2021.

1228
01:22:51,000 --> 01:22:54,960
Well, that's a shame.

1229
01:22:54,960 --> 01:22:55,960
Yeah.

1230
01:22:55,960 --> 01:22:59,080
He was no longer the CEO.

1231
01:22:59,080 --> 01:23:00,680
He resigned in 2016.

1232
01:23:00,680 --> 01:23:08,800
But still, you know, I know that Gilead's as dirty as fire trucks.

1233
01:23:08,800 --> 01:23:17,920
But you know, I haven't really felt the super dark vibe from what I've seen out of his work.

1234
01:23:17,920 --> 01:23:20,800
But anyways, just now and out there.

1235
01:23:20,800 --> 01:23:25,240
And all of a sudden, these guys, they should have disclosed their relationships, what they've

1236
01:23:25,240 --> 01:23:26,240
known.

1237
01:23:26,240 --> 01:23:30,680
They didn't have to know that it was or wasn't working or why, but they should have disclosed

1238
01:23:30,680 --> 01:23:31,680
it.

1239
01:23:31,680 --> 01:23:32,960
That means that they're hiding something.

1240
01:23:32,960 --> 01:23:37,600
Well, I had an opinion in May of 2020.

1241
01:23:37,600 --> 01:23:40,720
I just want to share what my opinion was.

1242
01:23:40,720 --> 01:23:42,560
I at least had a question.

1243
01:23:42,560 --> 01:23:47,680
I think anyone will serve time for statistical murder.

1244
01:23:47,680 --> 01:23:53,120
That was my question on May 18, 2020.

1245
01:23:53,120 --> 01:23:56,880
Just in case Steve is watching, because when I mentioned to him that I had in late last

1246
01:23:56,880 --> 01:24:01,200
year that I had been doing two and a half years of research on this, he gave a loud

1247
01:24:01,200 --> 01:24:02,200
guffaw.

1248
01:24:02,200 --> 01:24:05,760
Well, this is still, it hasn't ended, Matt.

1249
01:24:05,760 --> 01:24:09,320
Because what we're talking about here is remdesivir, right?

1250
01:24:09,320 --> 01:24:11,320
Which may seem in 2020.

1251
01:24:11,320 --> 01:24:14,240
First of all, it's still a standard of care.

1252
01:24:14,240 --> 01:24:15,240
It's still being used.

1253
01:24:15,240 --> 01:24:19,080
It's still people who it's being prescribed to every day.

1254
01:24:19,080 --> 01:24:21,920
Some live and some don't.

1255
01:24:21,920 --> 01:24:26,480
However, if someone were to engage-

1256
01:24:26,480 --> 01:24:31,040
If I can just point, can I just emphasize what Mark is saying here, that they're being

1257
01:24:31,040 --> 01:24:40,200
given remdesivir and the doctors who are administering it do not have remdesivir's potential side

1258
01:24:40,200 --> 01:24:43,560
effects on a list of watch out for this shit.

1259
01:24:43,560 --> 01:24:46,400
If this happens, take them off remdesivir.

1260
01:24:46,400 --> 01:24:48,200
There's nothing like that happening.

1261
01:24:48,200 --> 01:24:49,200
Go ahead, Mark.

1262
01:24:49,200 --> 01:24:50,200
Well, there is that.

1263
01:24:50,200 --> 01:24:52,280
Of course, there's incentive, financial incentives.

1264
01:24:52,280 --> 01:24:55,200
There was all of that, which is good debate.

1265
01:24:55,200 --> 01:25:01,000
But, okay, we have endless debates right now over vaccine safety, over whether or not the

1266
01:25:01,000 --> 01:25:03,200
mRNA vaccine worked.

1267
01:25:03,200 --> 01:25:10,400
And that conversation cannot be had without first agreeing that the actual risk factor

1268
01:25:10,400 --> 01:25:13,760
of coronavirus is not what it's portrayed to be.

1269
01:25:13,760 --> 01:25:21,000
Hence, Ian Copeland cleans up in his chats on Twitter because everyone starts off with,

1270
01:25:21,000 --> 01:25:23,160
well, the vaccine's a problem.

1271
01:25:23,160 --> 01:25:29,240
And he never- Ian Copeland doesn't say that that's not true, but he is building upon a

1272
01:25:29,240 --> 01:25:33,160
mountain of data that ignores hospital protocols.

1273
01:25:33,160 --> 01:25:34,800
It ignores no antibiotics.

1274
01:25:34,800 --> 01:25:37,920
It ignores statistical manipulation about flu deaths.

1275
01:25:37,920 --> 01:25:40,360
It ignores remdesivir.

1276
01:25:40,360 --> 01:25:46,720
So by always being encouraged to spend day after day after day and dollar after dollar

1277
01:25:46,720 --> 01:25:52,520
on vaccine safety, it's an endless argument that will never go anywhere.

1278
01:25:52,520 --> 01:25:54,560
This is why people don't want to talk about it.

1279
01:25:54,560 --> 01:26:00,400
This is why I suspect when Malone had this, you know, we're going to get all the lawyers

1280
01:26:00,400 --> 01:26:05,360
together and talk about and get lawsuits for vaccine injuries, anyone that wanted to talk

1281
01:26:05,360 --> 01:26:07,720
about remdesivir is kicked out.

1282
01:26:07,720 --> 01:26:09,720
You are not allowed in here.

1283
01:26:09,720 --> 01:26:10,800
Get out of here.

1284
01:26:10,800 --> 01:26:11,800
Go over there.

1285
01:26:11,800 --> 01:26:14,120
Wait, wait, I don't know about this story.

1286
01:26:14,120 --> 01:26:15,120
Wait.

1287
01:26:15,120 --> 01:26:17,120
Oh, George Webb was kicked out.

1288
01:26:17,120 --> 01:26:20,880
Oh, was this- was this- this was why George Webb was kicked out.

1289
01:26:20,880 --> 01:26:21,880
Interesting.

1290
01:26:21,880 --> 01:26:24,400
Yeah, he wanted- he had two questions, Domaine and remdesivir.

1291
01:26:24,400 --> 01:26:25,400
Okay.

1292
01:26:25,400 --> 01:26:28,900
And they suggested that he was going to be- cause trouble.

1293
01:26:28,900 --> 01:26:29,900
He was going to cause trouble.

1294
01:26:29,900 --> 01:26:33,040
He was going to ask the questions which needed to be asked.

1295
01:26:33,040 --> 01:26:35,680
But this is why we are stuck in this endless quagmire.

1296
01:26:35,680 --> 01:26:40,280
I appreciate the fact that people are engaging about trying to understand the benefits and

1297
01:26:40,280 --> 01:26:43,280
the risks and the pros and the cons of all the different treatments.

1298
01:26:43,280 --> 01:26:50,400
However, it will never go anywhere until we can agree upon the actual risk of whatever

1299
01:26:50,400 --> 01:26:53,720
this agent was in the first place.

1300
01:26:53,720 --> 01:26:57,560
And the more we encourage you not to have that, the more we are stuck in the mud.

1301
01:26:57,560 --> 01:27:00,840
I hope that some people watch this and this is enough.

1302
01:27:00,840 --> 01:27:07,760
What I feel like I've done in the middle of this slideshow is built a tapestry of a lot

1303
01:27:07,760 --> 01:27:15,440
of facts that seem to have the same polarity, I guess is the way that I'm going to put it.

1304
01:27:15,440 --> 01:27:16,800
And here's one of those.

1305
01:27:16,800 --> 01:27:19,000
It's kind of a follow the money fact.

1306
01:27:19,000 --> 01:27:25,280
When I noticed that Hungary had a weird policy on hydroxychloroquine, they stopped exports,

1307
01:27:25,280 --> 01:27:31,320
but they also weren't using it to treat COVID, at least not much.

1308
01:27:31,320 --> 01:27:33,000
Not much at all, if at all.

1309
01:27:33,000 --> 01:27:38,680
And I noticed that when I went into Gilead's financial reports, they really pumped up the

1310
01:27:38,680 --> 01:27:42,720
money in 2019 to Hungary.

1311
01:27:42,720 --> 01:27:46,320
And you have to be able to read Klingon in order to know.

1312
01:27:46,320 --> 01:27:49,720
You can get this translated, but 23 and a half million, you can see that number near

1313
01:27:49,720 --> 01:27:57,840
the bottom right hand corner for 2019 and then in 2020 back down to ordinary levels,

1314
01:27:57,840 --> 01:28:02,200
you know, two, three million dollars a year or something like that.

1315
01:28:02,200 --> 01:28:10,040
So yeah, you have to use the way back machine to get the older data though.

1316
01:28:10,040 --> 01:28:17,520
So middle of the year 2020, South Korea is one of those nations that they chose the chloroquines.

1317
01:28:17,520 --> 01:28:24,240
They chose the chloroquines early, but somehow in June they decided that hydroxychloroquine

1318
01:28:24,240 --> 01:28:32,440
didn't work and that they would give emergency approval to remdesivir.

1319
01:28:32,440 --> 01:28:35,140
Now why would they make such a decision?

1320
01:28:35,140 --> 01:28:41,400
After all, South Korea actually had very, very few cases, a very brief outbreak and

1321
01:28:41,400 --> 01:28:45,560
then almost no deaths at all.

1322
01:28:45,560 --> 01:28:47,600
So what happened there?

1323
01:28:47,600 --> 01:28:51,500
And I'm just going to suggest that the reason I call it the Plandemonium and the reason

1324
01:28:51,500 --> 01:28:55,720
I call it World War E is because this is about economics and South Korea pretty much has

1325
01:28:55,720 --> 01:28:59,600
to play ball with whatever the United States does.

1326
01:28:59,600 --> 01:29:01,600
But it is worth looking around.

1327
01:29:01,600 --> 01:29:03,640
We've looked at Hungary, we've looked at South Korea.

1328
01:29:03,640 --> 01:29:08,560
It's worth looking around to a number of nations to see what's going on.

1329
01:29:08,560 --> 01:29:17,020
And here's Uganda and somehow I did not get something out of the way there.

1330
01:29:17,020 --> 01:29:21,440
And sorry about that, but I'll just mention what's going on here with Uganda.

1331
01:29:21,440 --> 01:29:27,600
Uganda was using hydroxychloroquine, azithromycin, zinc, vitamins from day one as the standard

1332
01:29:27,600 --> 01:29:36,720
of care through almost the end of July and had zero deaths, zero COVID deaths.

1333
01:29:36,720 --> 01:29:46,040
And then suddenly the World Bank came and gave them a whole bunch of money, like a billion

1334
01:29:46,040 --> 01:29:49,160
dollars, billion dollars.

1335
01:29:49,160 --> 01:29:51,120
That's got to go a long way in Uganda.

1336
01:29:51,120 --> 01:29:58,240
And then suddenly, suddenly two days later, Uganda had its first death from COVID and

1337
01:29:58,240 --> 01:30:04,800
they're using remdesivir at some number of hundred dollars a dose.

1338
01:30:04,800 --> 01:30:13,760
And the case fatality rate goes from zero to almost 10% before it comes back down again.

1339
01:30:13,760 --> 01:30:18,120
And after it was mid-October when they started using remdesivir, and you can see the bottom

1340
01:30:18,120 --> 01:30:21,940
right hand corner, that's what the case chart looks like.

1341
01:30:21,940 --> 01:30:29,100
And by the way, that's Southern Hemisphere, so that's summer, not winter.

1342
01:30:29,100 --> 01:30:35,840
So look around the world, look at both the hydroxychloroquine and the remdesivir stories

1343
01:30:35,840 --> 01:30:37,640
in a few countries.

1344
01:30:37,640 --> 01:30:41,480
Track it down, find the ones that you need to think about.

1345
01:30:41,480 --> 01:30:46,440
But you know what, let's move now to the WHO trials because there are some interesting

1346
01:30:46,440 --> 01:30:49,000
stories right here.

1347
01:30:49,000 --> 01:30:53,160
Now they tested in various of these, you know, hydroxychloroquine, remdesivir.

1348
01:30:53,160 --> 01:30:58,800
Oh look, patients who are already receiving remdesivir can still be recruited into the

1349
01:30:58,800 --> 01:31:04,000
recovery trial for other medicines.

1350
01:31:04,000 --> 01:31:10,880
I wonder if anybody ever went back and re-chopped the data to take a look at whether or not

1351
01:31:10,880 --> 01:31:14,680
the arms were equal and what it showed about remdesivir.

1352
01:31:14,680 --> 01:31:16,960
I don't know, I don't think I've read that.

1353
01:31:16,960 --> 01:31:23,240
But okay, WHO says remdesivir flunks.

1354
01:31:23,240 --> 01:31:24,880
Huh.

1355
01:31:24,880 --> 01:31:27,080
Okay.

1356
01:31:27,080 --> 01:31:31,800
So what was the date of that announcement?

1357
01:31:31,800 --> 01:31:41,080
Um, October 2000?

1358
01:31:41,080 --> 01:31:46,320
So this is actually April 23rd, 2020.

1359
01:31:46,320 --> 01:31:53,440
The story here was that actually the WHO put it up on its website, leaked preliminary reports

1360
01:31:53,440 --> 01:32:00,040
and then scrubbed them from the website and then their shares tumbled.

1361
01:32:00,040 --> 01:32:01,880
So this is late April, 2020.

1362
01:32:01,880 --> 01:32:06,600
Yup, they had closed trading for an afternoon.

1363
01:32:06,600 --> 01:32:08,400
So what's your interpretation?

1364
01:32:08,400 --> 01:32:09,400
Anybody?

1365
01:32:09,400 --> 01:32:18,120
I think the interpretation is some truth leaked out via a screenshot and they needed to clear

1366
01:32:18,120 --> 01:32:19,120
it up.

1367
01:32:19,120 --> 01:32:22,740
And then the following day, another study leaked out of the University of Chicago that

1368
01:32:22,740 --> 01:32:28,160
showed that compassionate care was looking slightly optimistic and the shares went back

1369
01:32:28,160 --> 01:32:29,160
up.

1370
01:32:29,160 --> 01:32:30,160
See, okay.

1371
01:32:30,160 --> 01:32:31,160
Convenient.

1372
01:32:31,160 --> 01:32:36,240
And that story from the next day, that completes things for me because when I put this in the

1373
01:32:36,240 --> 01:32:38,480
slideshow, I was like, you know what this is?

1374
01:32:38,480 --> 01:32:41,480
This is a dump and pump.

1375
01:32:41,480 --> 01:32:46,040
Leak the bad data so you can buy the shares.

1376
01:32:46,040 --> 01:32:47,760
It could have been that too.

1377
01:32:47,760 --> 01:32:49,280
It could have been a range for that.

1378
01:32:49,280 --> 01:32:55,280
I would love to see who traded Gilead those two days.

1379
01:32:55,280 --> 01:33:01,280
Oh, and maybe I should point out the name Hayden because we're going to see that name

1380
01:33:01,280 --> 01:33:02,280
again.

1381
01:33:02,280 --> 01:33:03,280
Let's see.

1382
01:33:03,280 --> 01:33:07,600
Frederick Hayden of the University of Virginia School of Medicine.

1383
01:33:07,600 --> 01:33:11,920
He's the one who conducted the study in China.

1384
01:33:11,920 --> 01:33:15,560
And we're going to see his name come up again in a moment.

1385
01:33:15,560 --> 01:33:19,560
But effect of hydroxychloroquine in hospitalized patients.

1386
01:33:19,560 --> 01:33:20,560
Okay.

1387
01:33:20,560 --> 01:33:22,560
This is Pete Horby's study.

1388
01:33:22,560 --> 01:33:25,680
Also one of the WHO trials.

1389
01:33:25,680 --> 01:33:31,560
But there's something very, very interesting when we, I mean, it's interesting, first of

1390
01:33:31,560 --> 01:33:34,520
all, that it's like seven days after symptoms.

1391
01:33:34,520 --> 01:33:37,840
So you're not really testing an antiviral very well.

1392
01:33:37,840 --> 01:33:39,040
Correct.

1393
01:33:39,040 --> 01:33:45,120
But it gets a little bit interesting when you look at the metadata on that document.

1394
01:33:45,120 --> 01:33:48,560
Frederick Hayden.

1395
01:33:48,560 --> 01:33:55,920
Why is the guy running the remdesivir trial in China in the metadata of the hydroxychloroquine

1396
01:33:55,920 --> 01:34:00,720
report for the WHO?

1397
01:34:00,720 --> 01:34:04,160
Can't think of a reason.

1398
01:34:04,160 --> 01:34:08,040
Somebody I talked to just decided, hey, I'm just going to write an email.

1399
01:34:08,040 --> 01:34:10,020
I'm just going to ask Peter Horby.

1400
01:34:10,020 --> 01:34:12,400
Can you clarify what role he played?

1401
01:34:12,400 --> 01:34:15,320
Good for you.

1402
01:34:15,320 --> 01:34:16,320
Yeah.

1403
01:34:16,320 --> 01:34:17,320
Yeah.

1404
01:34:17,320 --> 01:34:20,120
I'm not going to share who that was, but he was not involved in any way.

1405
01:34:20,120 --> 01:34:23,440
Don't know why he appears in the metadata, Peter.

1406
01:34:23,440 --> 01:34:24,440
Don't know why.

1407
01:34:24,440 --> 01:34:27,920
I'm not going to go look.

1408
01:34:27,920 --> 01:34:29,640
Whose computer says Hayden in it?

1409
01:34:29,640 --> 01:34:30,640
Yeah.

1410
01:34:30,640 --> 01:34:31,640
It's interesting.

1411
01:34:31,640 --> 01:34:33,360
He didn't push back and say, you must be wrong.

1412
01:34:33,360 --> 01:34:37,400
Like, that's the kind of thing you would think he would be scratching his head over instead

1413
01:34:37,400 --> 01:34:38,880
of just moving on from.

1414
01:34:38,880 --> 01:34:39,880
Yeah.

1415
01:34:39,880 --> 01:34:44,800
He's figuring this out, right?

1416
01:34:44,800 --> 01:34:47,760
Does he not care about what the metadata means?

1417
01:34:47,760 --> 01:34:50,600
He's a scientist, right?

1418
01:34:50,600 --> 01:34:57,680
I mean, metadata is a lot of scientific data you're investigating, you're analyzing.

1419
01:34:57,680 --> 01:35:02,040
Well, and wouldn't it potentially suggest a data integrity issue?

1420
01:35:02,040 --> 01:35:03,600
Who's using that computer?

1421
01:35:03,600 --> 01:35:04,600
Possibly.

1422
01:35:04,600 --> 01:35:05,600
There's a lot of questions.

1423
01:35:05,600 --> 01:35:08,600
Or even the way that it will look to the public.

1424
01:35:08,600 --> 01:35:09,600
Yeah.

1425
01:35:09,600 --> 01:35:10,600
So, yeah.

1426
01:35:10,600 --> 01:35:11,600
Okay.

1427
01:35:11,600 --> 01:35:14,600
Now we're getting into the surveys.

1428
01:35:14,600 --> 01:35:17,600
Oh, that's right.

1429
01:35:17,600 --> 01:35:18,600
That's right.

1430
01:35:18,600 --> 01:35:21,000
I started to put in the surveys here.

1431
01:35:21,000 --> 01:35:26,120
Though maybe this one was for a different reason first.

1432
01:35:26,120 --> 01:35:27,880
Understand the two months late for application.

1433
01:35:27,880 --> 01:35:28,880
Oh, yeah.

1434
01:35:28,880 --> 01:35:29,880
Okay.

1435
01:35:29,880 --> 01:35:34,800
So notice that even though we have the WHO testing hydroxychloroquine, like I said, it

1436
01:35:34,800 --> 01:35:35,800
was a late treatment study.

1437
01:35:35,800 --> 01:35:39,680
It was also three times the dose that most people around the world were using.

1438
01:35:39,680 --> 01:35:46,800
But this article in particular out of Francois walks through the fact that once Didier Rieu

1439
01:35:46,800 --> 01:35:51,720
started successfully treating people, and he treated like 4,000 people by May, right?

1440
01:35:51,720 --> 01:35:57,080
And the WHO and other people in France are telling him, oh, we're going to use your protocol.

1441
01:35:57,080 --> 01:36:00,680
Wasn't it also azithromycin in his paper though?

1442
01:36:00,680 --> 01:36:04,480
It was in the title, hydroxychloroquine and azithromycin.

1443
01:36:04,480 --> 01:36:09,720
And he wasn't using anything as an endpoint except for the PCR positivity, if I understand

1444
01:36:09,720 --> 01:36:10,720
it right.

1445
01:36:10,720 --> 01:36:11,720
I remember right.

1446
01:36:11,720 --> 01:36:16,000
Oh, at the very beginning, that was his study in at the end of February.

1447
01:36:16,000 --> 01:36:18,200
That was like February 26th.

1448
01:36:18,200 --> 01:36:22,920
But later on, he's I mean, he published lots and lots of reports on his data.

1449
01:36:22,920 --> 01:36:26,600
So he's published on deaths, hospitalization, all that stuff.

1450
01:36:26,600 --> 01:36:29,280
What is Francois?

1451
01:36:29,280 --> 01:36:31,680
It's like the New York Post.

1452
01:36:31,680 --> 01:36:38,760
You know, it's I think it's considered a step ahead of New York Post in journalism.

1453
01:36:38,760 --> 01:36:43,800
But you know, it's definitely not left wing.

1454
01:36:43,800 --> 01:36:46,520
I guess people are going to refer to it as right wing.

1455
01:36:46,520 --> 01:36:49,680
I guess it would it would be called right of center.

1456
01:36:49,680 --> 01:36:54,920
One interesting thing that they had, they had the June 23rd, 2021 interview with Adam

1457
01:36:54,920 --> 01:37:03,720
Gartner about how Ivermectin is just kick ass and he became the he became a future director

1458
01:37:03,720 --> 01:37:05,920
of former feds.

1459
01:37:05,920 --> 01:37:07,160
So yeah.

1460
01:37:07,160 --> 01:37:12,360
Well, the author of this one right here, I've been in contact with Xavier Azalbert.

1461
01:37:12,360 --> 01:37:16,560
He is a mathematician and a biologist.

1462
01:37:16,560 --> 01:37:22,640
So it's interesting that the editor of this newspaper is a mathematician and biologist.

1463
01:37:22,640 --> 01:37:28,480
I think it enabled this particular publication to kind of be all over the pandemic.

1464
01:37:28,480 --> 01:37:33,520
They have a lot of important stories, especially in 2020 as things were getting going.

1465
01:37:33,520 --> 01:37:38,480
But they covered, you know, wrote pretty well, right.

1466
01:37:38,480 --> 01:37:44,720
But you know, basically, the story is about the fact that rule was gaslighted by multiple

1467
01:37:44,720 --> 01:37:49,560
different study authors saying, yeah, I'm going to use your protocol.

1468
01:37:49,560 --> 01:37:51,160
And then they changed the protocol completely.

1469
01:37:51,160 --> 01:37:55,720
Like early to late treatment, moderate versus high dose, like everything that they could

1470
01:37:55,720 --> 01:38:00,360
do, you know, in conjunction with a macrolide or alone.

1471
01:38:00,360 --> 01:38:01,360
Right.

1472
01:38:01,360 --> 01:38:03,880
I mean, like in every way they could, they just gaslighted him.

1473
01:38:03,880 --> 01:38:08,560
But you know, it got worse and worse for him.

1474
01:38:08,560 --> 01:38:16,800
In particular, he had to testify to the parliament about the fact that and this guy got arrested.

1475
01:38:16,800 --> 01:38:22,520
There was a guy who called him up and threatened his life.

1476
01:38:22,520 --> 01:38:26,680
Called him up from Nantes, a guy, you know, medical doctor.

1477
01:38:26,680 --> 01:38:29,440
Oh, he's not just a medical doctor.

1478
01:38:29,440 --> 01:38:34,440
He's the medical doctor that of all the doctors and scientists in France, if I understand

1479
01:38:34,440 --> 01:38:40,840
this correctly, had received the most money from Gilead.

1480
01:38:40,840 --> 01:38:51,560
That guy calls the world's most well-published microbiologist and threatens to kill him.

1481
01:38:51,560 --> 01:38:52,560
Just another story.

1482
01:38:52,560 --> 01:38:59,080
Just throwing that one out there.

1483
01:38:59,080 --> 01:39:01,360
So they, you know, that's insult to injury.

1484
01:39:01,360 --> 01:39:03,920
They don't use protocol and they tell you they're going to kill you.

1485
01:39:03,920 --> 01:39:07,160
I mean, that's just mean.

1486
01:39:07,160 --> 01:39:10,240
That's just mean.

1487
01:39:10,240 --> 01:39:20,440
I did like the fact that Raoul said, you know what, this is all about the US's civil war.

1488
01:39:20,440 --> 01:39:28,280
And I don't think that that's a perfect description, but it is true that there are forces that

1489
01:39:28,280 --> 01:39:30,640
are meeting each other here.

1490
01:39:30,640 --> 01:39:31,960
Right?

1491
01:39:31,960 --> 01:39:38,480
I mean, he recognizes that forces are extending to him to put pressure on him, but that it

1492
01:39:38,480 --> 01:39:46,560
seems like whatever's going on, it's centering around the dollar or control of US politics.

1493
01:39:46,560 --> 01:39:51,720
And I'm kind of in that sphere, even if I don't want to say I can perfectly describe

1494
01:39:51,720 --> 01:39:53,720
it.

1495
01:39:53,720 --> 01:39:55,560
Anybody?

1496
01:39:55,560 --> 01:40:00,160
I generally agree with that statement.

1497
01:40:00,160 --> 01:40:01,160
It does.

1498
01:40:01,160 --> 01:40:05,400
It is about the US civil war to some extent.

1499
01:40:05,400 --> 01:40:06,400
Some extent.

1500
01:40:06,400 --> 01:40:13,360
My opinion, whatever it's worth, probably not worth much, but I do not believe everyone

1501
01:40:13,360 --> 01:40:21,720
was on board using Remdesivir, using it the way it was, improperly, or all the same protocols.

1502
01:40:21,720 --> 01:40:24,680
I don't believe it was just government versus people.

1503
01:40:24,680 --> 01:40:26,820
I don't think that's the wrong.

1504
01:40:26,820 --> 01:40:29,720
My belief is that's the wrong interpretation.

1505
01:40:29,720 --> 01:40:36,240
I suspect that it was known that like a container ship heading towards an iceberg, this wasn't

1506
01:40:36,240 --> 01:40:37,240
going to stop.

1507
01:40:37,240 --> 01:40:42,480
But I think different people wanted to get something different out of it, and they wanted

1508
01:40:42,480 --> 01:40:43,760
to play things a different way.

1509
01:40:43,760 --> 01:40:48,280
So there was definitely internal battles.

1510
01:40:48,280 --> 01:40:58,800
And I suspect, and a lot of people don't agree with this viewpoint, though, that the improper

1511
01:40:58,800 --> 01:41:03,600
use of some of this medicine was allowed to happen to knock out a few hundred thousand

1512
01:41:03,600 --> 01:41:14,080
people and to crush what appeared to be a rising sense of populism within the United

1513
01:41:14,080 --> 01:41:15,440
States.

1514
01:41:15,440 --> 01:41:26,200
You can see a really hard turn towards everything coronavirus starting a day and a half after

1515
01:41:26,200 --> 01:41:28,080
the Trump election victory.

1516
01:41:28,080 --> 01:41:30,040
It seemed to be in 2016.

1517
01:41:30,040 --> 01:41:32,520
Or, here's an alternative.

1518
01:41:32,520 --> 01:41:35,080
It's an opinion, though.

1519
01:41:35,080 --> 01:41:37,080
It's just a framework that I work with.

1520
01:41:37,080 --> 01:41:43,040
Maybe it's to make it so bad that the moderate populists who would not participate in an

1521
01:41:43,040 --> 01:41:48,040
uprising would unite in large numbers.

1522
01:41:48,040 --> 01:41:52,600
I was going to say, it's funny how it looks like, Mark, the opposite is what's occurred.

1523
01:41:52,600 --> 01:41:58,000
There's been a tremendous, because it's not just moderates and populists or preexisting

1524
01:41:58,000 --> 01:41:59,000
populists.

1525
01:41:59,000 --> 01:42:01,280
I'm a liberal.

1526
01:42:01,280 --> 01:42:05,760
And a lot of people I've known from across the spectrum have more or less been, quote

1527
01:42:05,760 --> 01:42:09,560
unquote, woken up to the idea that there is something to think about there.

1528
01:42:09,560 --> 01:42:13,680
So it's interesting that if that was some kind of intention, it doesn't seem to have

1529
01:42:13,680 --> 01:42:14,680
worked.

1530
01:42:14,680 --> 01:42:21,520
Or both sides could believe that they're going to get what they want out of it.

1531
01:42:21,520 --> 01:42:25,080
The side that wants to crush the populists could get what they want out of it, and the

1532
01:42:25,080 --> 01:42:31,600
side that wants to get the populists to form a new nation, essentially, like a new foundation,

1533
01:42:31,600 --> 01:42:32,600
a new bedrock.

1534
01:42:32,600 --> 01:42:35,600
I don't know.

1535
01:42:35,600 --> 01:42:46,600
Looking at things now, if the current therapies are correlated with injuries and fatalities,

1536
01:42:46,600 --> 01:42:55,920
if they are, they're not targeting, generally, the populist population, at least within the

1537
01:42:55,920 --> 01:42:58,760
United States.

1538
01:42:58,760 --> 01:43:02,240
But maybe it was unexpected that things would have been going on as long as they have.

1539
01:43:02,240 --> 01:43:03,240
I don't know.

1540
01:43:03,240 --> 01:43:08,160
At some point, we have to start throwing possibilities out there to explain it so that we can at

1541
01:43:08,160 --> 01:43:10,320
least try to disprove ourselves.

1542
01:43:10,320 --> 01:43:16,080
So I could be wrong, but it's just some general ideas that I'm working with, and I'm actively

1543
01:43:16,080 --> 01:43:21,240
trying to prove myself wrong to figure out, OK, so what's a more correct explanation?

1544
01:43:21,240 --> 01:43:25,440
But yeah, Ian, Liam, excuse me, Liam just said it well.

1545
01:43:25,440 --> 01:43:27,400
In some ways, it seems to have backfired.

1546
01:43:27,400 --> 01:43:29,400
But we'll see.

1547
01:43:29,400 --> 01:43:33,000
Sorry about my phone, guys.

1548
01:43:33,000 --> 01:43:39,840
I just wanted to throw out my remdesivir theory, which was the chimeric mutator protein, which

1549
01:43:39,840 --> 01:43:43,080
is you throw in a mutator protein like AIDS.

1550
01:43:43,080 --> 01:43:47,520
HIV had this unending series of mutants, right?

1551
01:43:47,520 --> 01:43:52,160
And they haven't been able to vaccinate for it or come up with a decent therapeutic.

1552
01:43:52,160 --> 01:43:56,520
If you do the same thing with remdesivir with patients and you have them re-breathing through

1553
01:43:56,520 --> 01:43:59,200
the ventilators like Callahan's set up, they create mutants.

1554
01:43:59,200 --> 01:44:03,040
Nine times out of 10, you don't make the protein.

1555
01:44:03,040 --> 01:44:07,400
The RNA preliminaries is blocked.

1556
01:44:07,400 --> 01:44:12,660
But in 10% of the cases, you actually change the nucleosides and you create a new mutant.

1557
01:44:12,660 --> 01:44:13,660
That's how we got beta.

1558
01:44:13,660 --> 01:44:15,840
That's how we got the different variants potentially.

1559
01:44:15,840 --> 01:44:17,960
That's how we finally got delta.

1560
01:44:17,960 --> 01:44:25,560
And you basically direct evolution away from existing known therapies toward a new novel

1561
01:44:25,560 --> 01:44:27,520
virus.

1562
01:44:27,520 --> 01:44:31,900
You actually direct the evolution toward your money pit.

1563
01:44:31,900 --> 01:44:36,560
You make the people go like Rockefeller toward your bridge that goes over the bridge that

1564
01:44:36,560 --> 01:44:38,560
takes your oil to market.

1565
01:44:38,560 --> 01:44:42,880
You create a monopoly for a new and novel thing with remdesivir.

1566
01:44:42,880 --> 01:44:48,160
That's why I see remdesivir continually showing up over and over seemingly to do nothing other

1567
01:44:48,160 --> 01:44:51,720
than create mutants.

1568
01:44:51,720 --> 01:44:57,120
By the way, our friend from COVEXIT is here to mention that Franspar has little to do

1569
01:44:57,120 --> 01:44:58,920
with the previous one.

1570
01:44:58,920 --> 01:45:06,860
Name was bought by Asselberg, but he started a new online publication, free speech platform.

1571
01:45:06,860 --> 01:45:14,720
So anyhow, just to mention that, I do appreciate that he has a math and science background

1572
01:45:14,720 --> 01:45:15,880
though.

1573
01:45:15,880 --> 01:45:19,940
So what I've just thrown up on the screen are studies for remdesivir.

1574
01:45:19,940 --> 01:45:24,000
And you'll notice early treatment studies work better than late treatment studies.

1575
01:45:24,000 --> 01:45:29,880
And it wouldn't surprise me if it stops viral replication if given early, though you may

1576
01:45:29,880 --> 01:45:33,960
have, I don't know, renal failure as a result.

1577
01:45:33,960 --> 01:45:39,080
But the fact that early treatment works better than late and late treatment, I mean that

1578
01:45:39,080 --> 01:45:43,560
11%, I mean that could be nothing.

1579
01:45:43,560 --> 01:45:48,520
You could have one fudge study in there that causes all of that result.

1580
01:45:48,520 --> 01:45:50,240
It wouldn't surprise me if that's the case.

1581
01:45:50,240 --> 01:45:51,920
I'm not saying that it is.

1582
01:45:51,920 --> 01:45:57,080
But anyway, I'm looking at this and I'm looking at the mortality.

1583
01:45:57,080 --> 01:45:58,420
Wow.

1584
01:45:58,420 --> 01:46:00,600
Those mortality numbers look so good.

1585
01:46:00,600 --> 01:46:02,440
Is that too good to be true?

1586
01:46:02,440 --> 01:46:05,320
Well these studies are listed in the order that they were published.

1587
01:46:05,320 --> 01:46:08,040
I want to point that out.

1588
01:46:08,040 --> 01:46:13,040
And that when we look at the studies that were published after the early going, after

1589
01:46:13,040 --> 01:46:20,880
the Jerobaldi study, suddenly they have completely mixed mortality results.

1590
01:46:20,880 --> 01:46:22,680
And they're all over the place.

1591
01:46:22,680 --> 01:46:25,120
There's no consistency.

1592
01:46:25,120 --> 01:46:26,280
Except that you know what?

1593
01:46:26,280 --> 01:46:33,040
The studies that are done in Western nations with large pharma complexes seem to go a little

1594
01:46:33,040 --> 01:46:34,040
bit better.

1595
01:46:34,040 --> 01:46:39,160
It's almost like there's an inverse proximity relationship to somebody's gun.

1596
01:46:39,160 --> 01:46:40,160
I don't know.

1597
01:46:40,160 --> 01:46:41,160
Somebody's dollar.

1598
01:46:41,160 --> 01:46:45,400
These are the results I would have expected.

1599
01:46:45,400 --> 01:46:53,200
There's too many papers that find ways to show that early use of the product has benefits.

1600
01:46:53,200 --> 01:46:59,120
And Remdesivir has multiple potential uses.

1601
01:46:59,120 --> 01:47:07,480
But one, something I think we believe that it was designed for, was for the battlefield

1602
01:47:07,480 --> 01:47:15,840
to protect the warfighter against exposure to synthetic virus-like particles, whether

1603
01:47:15,840 --> 01:47:21,640
he or she be attacked by them or possibly even involved in the distribution of them.

1604
01:47:21,640 --> 01:47:26,360
It just shuts your body's processing of these particles down wholesale.

1605
01:47:26,360 --> 01:47:31,400
It's not something that you want to be taking every day.

1606
01:47:31,400 --> 01:47:34,240
You better sell it for less than a thousand dollars a dose.

1607
01:47:34,240 --> 01:47:39,880
But how many people are going to take something like this virtually prophylactically?

1608
01:47:39,880 --> 01:47:41,280
It's unheard of.

1609
01:47:41,280 --> 01:47:45,920
So late treatment, this is because I just said this is not something you want to take

1610
01:47:45,920 --> 01:47:46,960
very often.

1611
01:47:46,960 --> 01:47:48,960
It really stresses the body.

1612
01:47:48,960 --> 01:47:53,960
Now if you were just hit with something really nasty, well, it sure is better than dying.

1613
01:47:53,960 --> 01:47:57,280
However, this is not something that you take when you're sick.

1614
01:47:57,280 --> 01:48:01,600
So if people are sick, almost regardless of what they're sick of, you start hitting them

1615
01:48:01,600 --> 01:48:04,040
up with Remdesivir, they're going to get sicker.

1616
01:48:04,040 --> 01:48:05,320
It's not something you need to take.

1617
01:48:05,320 --> 01:48:10,720
And matter of fact, that's the time your body's communication needs to be in order, in order

1618
01:48:10,720 --> 01:48:12,480
to heal.

1619
01:48:12,480 --> 01:48:13,720
So it only gets worse.

1620
01:48:13,720 --> 01:48:16,160
So this is the fine little detail.

1621
01:48:16,160 --> 01:48:18,800
I used to say Remdesivir is poison.

1622
01:48:18,800 --> 01:48:21,160
I wish I didn't because I was wrong.

1623
01:48:21,160 --> 01:48:24,320
It's a tool to use in a specific situation.

1624
01:48:24,320 --> 01:48:31,200
So was a mistake made to use Remdesivir in a situation where it shouldn't have been used

1625
01:48:31,200 --> 01:48:35,280
because it at that appears to be correlated with bad outcomes?

1626
01:48:35,280 --> 01:48:41,120
And was that intentional or was that just a horrible accident?

1627
01:48:41,120 --> 01:48:42,640
We need to know that.

1628
01:48:42,640 --> 01:48:46,400
And that needs to stop happening.

1629
01:48:46,400 --> 01:48:49,000
And that's a reasonable hypothesis.

1630
01:48:49,000 --> 01:48:54,640
But let's take a look at the rest of the studies because I found it very interesting that things

1631
01:48:54,640 --> 01:48:59,760
that you would expect to correlate with lower death didn't.

1632
01:48:59,760 --> 01:49:03,160
Like mechanical ventilation.

1633
01:49:03,160 --> 01:49:08,120
More people had to be mechanically ventilated who had been put on Remdesivir.

1634
01:49:08,120 --> 01:49:12,280
And if the endpoint was getting in the ICU, you would think going to the ICU would be

1635
01:49:12,280 --> 01:49:15,680
correlated with whether or not you died after you take Remdesivir.

1636
01:49:15,680 --> 01:49:17,880
But they don't seem to.

1637
01:49:17,880 --> 01:49:20,000
Now there's not as many studies there.

1638
01:49:20,000 --> 01:49:22,360
But okay, hospitalization.

1639
01:49:22,360 --> 01:49:24,960
Well there's no improvement there either.

1640
01:49:24,960 --> 01:49:30,240
No improvement for hospitalization or ICU visits or mechanical ventilation.

1641
01:49:30,240 --> 01:49:33,800
But there is improvement for death.

1642
01:49:33,800 --> 01:49:36,440
Well okay, let's go a little further.

1643
01:49:36,440 --> 01:49:42,480
Viral clearance, no improvement.

1644
01:49:42,480 --> 01:49:43,960
But you know what?

1645
01:49:43,960 --> 01:49:48,040
When they started rolling out Remdesivir, at least in Minnesota, we can see that the

1646
01:49:48,040 --> 01:49:55,400
proportion of people who are dying, who died from acute kidney injury, renal failure, is

1647
01:49:55,400 --> 01:50:01,280
a very high, it's well, it's the known side effect that we worry about with Remdesivir.

1648
01:50:01,280 --> 01:50:07,640
And it is, it just happens to be one of the highest comorbidities for COVID.

1649
01:50:07,640 --> 01:50:10,600
And is that simply because we used it as treatment?

1650
01:50:10,600 --> 01:50:13,280
Or that we used Remdesivir as treatment?

1651
01:50:13,280 --> 01:50:16,400
But the hospital data, it looks like it.

1652
01:50:16,400 --> 01:50:22,240
Now where we're going next, George, George, I'm going to quiz you.

1653
01:50:22,240 --> 01:50:26,520
See if you can name this person out loud the moment you see her.

1654
01:50:26,520 --> 01:50:27,520
You ready?

1655
01:50:27,520 --> 01:50:28,520
Okay.

1656
01:50:28,520 --> 01:50:31,520
Who is it?

1657
01:50:31,520 --> 01:50:33,160
It's very small.

1658
01:50:33,160 --> 01:50:36,160
Tara O'Toole, I can't see.

1659
01:50:36,160 --> 01:50:37,160
I don't remember her name.

1660
01:50:37,160 --> 01:50:38,160
Oh, this is terrible.

1661
01:50:38,160 --> 01:50:41,580
I knew it like four hours ago.

1662
01:50:41,580 --> 01:50:50,200
This is the woman at UAB who headed the Remdesivir studies.

1663
01:50:50,200 --> 01:50:51,200
What's her name?

1664
01:50:51,200 --> 01:50:52,280
I can't read it either.

1665
01:50:52,280 --> 01:50:54,640
I don't think it's on here and I've forgotten it.

1666
01:50:54,640 --> 01:50:57,240
Oh, that doesn't help.

1667
01:50:57,240 --> 01:51:01,120
Well, she doesn't look familiar to me.

1668
01:51:01,120 --> 01:51:07,560
I met the president and I met all these top PhDs and they had this big day for, you know,

1669
01:51:07,560 --> 01:51:12,080
intellectual property over there at Southern Research at UAB.

1670
01:51:12,080 --> 01:51:16,800
And there's a lot of tension going on here because somebody feels like they took all

1671
01:51:16,800 --> 01:51:23,840
of the Alabama Birmingham PhD work product and privatized it through Southern Research

1672
01:51:23,840 --> 01:51:27,720
and they got robbed, you know, and Michael Callahan being the key guy and now they're

1673
01:51:27,720 --> 01:51:29,480
trying to hold on to their IP.

1674
01:51:29,480 --> 01:51:33,320
That I can tell you right from the president's office is going on right now.

1675
01:51:33,320 --> 01:51:35,080
And that's where they do their high throughput screening.

1676
01:51:35,080 --> 01:51:41,400
This is why I say high throughput screening sometimes is, you know, just a robot testing

1677
01:51:41,400 --> 01:51:43,320
500 different things in their library.

1678
01:51:43,320 --> 01:51:45,760
Their library has 26,000 compounds.

1679
01:51:45,760 --> 01:51:49,760
So sometimes you just test the crap out of stuff and see what works, see where you get

1680
01:51:49,760 --> 01:51:51,280
signal.

1681
01:51:51,280 --> 01:51:55,640
And that's why I think they were so important with the Gilead drugs, the Gilead HIV, the

1682
01:51:55,640 --> 01:51:59,480
Gilead Pepsie and the Gilead Remdesivir.

1683
01:51:59,480 --> 01:52:03,800
But again, like Mark is saying, JJ Cooley, you could do great in the well play but that

1684
01:52:03,800 --> 01:52:05,280
doesn't mean you're going to do well in the mouse.

1685
01:52:05,280 --> 01:52:06,760
It doesn't mean you're going to do well in the monkey.

1686
01:52:06,760 --> 01:52:09,560
It doesn't mean you're going to do well in the human.

1687
01:52:09,560 --> 01:52:10,560
I got her name.

1688
01:52:10,560 --> 01:52:12,360
Dr. Jean or Jean Marazzo.

1689
01:52:12,360 --> 01:52:13,600
Marazzo, that's right.

1690
01:52:13,600 --> 01:52:14,600
Thank you.

1691
01:52:14,600 --> 01:52:15,600
Wow.

1692
01:52:15,600 --> 01:52:18,880
I wish I had a Liam to give me answers like that.

1693
01:52:18,880 --> 01:52:20,880
That's awesome Liam.

1694
01:52:20,880 --> 01:52:21,880
Yeah.

1695
01:52:21,880 --> 01:52:23,640
Interesting bit of trivia.

1696
01:52:23,640 --> 01:52:28,760
My wife was, if we hadn't moved to Dallas, she was going to go to work for Southern Research

1697
01:52:28,760 --> 01:52:33,360
Institute going, doing high throughput nanopore sequencing.

1698
01:52:33,360 --> 01:52:40,960
I actually met the guy who did the nanopore for the microtubulin or whatever it's called

1699
01:52:40,960 --> 01:52:43,480
or micro something.

1700
01:52:43,480 --> 01:52:52,680
But it's using the actual pore that cells use and they use it to read the ATG sequence.

1701
01:52:52,680 --> 01:52:53,680
That's the nanopore guy.

1702
01:52:53,680 --> 01:52:58,400
He's actually there at, he invented it at UAB.

1703
01:52:58,400 --> 01:53:05,200
Yeah, my wife may have worked with him while she was getting her PhD.

1704
01:53:05,200 --> 01:53:10,960
Anyhow, moving forward, I brought this up because she was in the middle of 2020.

1705
01:53:10,960 --> 01:53:14,760
She was preaching against hydroxychloroquine, getting on the news.

1706
01:53:14,760 --> 01:53:23,860
I wrote this post to tell my friends, look at what the relationship is here.

1707
01:53:23,860 --> 01:53:29,080
Why is Alabama the best place to get away with murder?

1708
01:53:29,080 --> 01:53:34,880
It's called Presidential Directive 6666, no, 33333.

1709
01:53:34,880 --> 01:53:40,240
No, no, all the DNA is the same and nobody has dental records.

1710
01:53:40,240 --> 01:53:43,320
Oh, that's the funny one.

1711
01:53:43,320 --> 01:53:51,240
Well, actually I wanted to tell you that JFK signed the Operation Mongoose or whatever it

1712
01:53:51,240 --> 01:53:52,240
was.

1713
01:53:52,240 --> 01:53:57,080
I think it's presidential record.

1714
01:53:57,080 --> 01:53:59,960
It's like 12333, but it's not.

1715
01:53:59,960 --> 01:54:04,440
I can't remember what it is now, but it's the record about the federal government can

1716
01:54:04,440 --> 01:54:09,800
go in to the University of Alabama, Birmingham to ensure the safety of the civil rights of

1717
01:54:09,800 --> 01:54:10,800
the students.

1718
01:54:10,800 --> 01:54:16,160
It's the George Washington and the doorway of the UAB.

1719
01:54:16,160 --> 01:54:17,160
Not George Washington.

1720
01:54:17,160 --> 01:54:18,160
Oh, oh.

1721
01:54:18,160 --> 01:54:19,160
I mean, George Wallace.

1722
01:54:19,160 --> 01:54:20,160
George Wallace.

1723
01:54:20,160 --> 01:54:21,160
Yeah.

1724
01:54:21,160 --> 01:54:27,560
Yeah, yeah, yeah, and that presidential directive is now what enables the Alabama Birmingham

1725
01:54:27,560 --> 01:54:34,920
National Guard to do operations outside of Alabama, right there from the airline base

1726
01:54:34,920 --> 01:54:37,040
in UAB.

1727
01:54:37,040 --> 01:54:40,160
So Southern Research is more than just Southern Research, I think.

1728
01:54:40,160 --> 01:54:45,380
They can run actual covert operations and spraying operations, Zika type spraying or

1729
01:54:45,380 --> 01:54:52,880
whatever operations in the Latin American, there are a whole bunch of C-130s there or

1730
01:54:52,880 --> 01:54:56,320
in the KC-135 tankers that can be retrofitted for spraying.

1731
01:54:56,320 --> 01:54:58,200
So I just wanted to throw that in there.

1732
01:54:58,200 --> 01:55:02,080
I'll get the presidential directive here in a minute.

1733
01:55:02,080 --> 01:55:04,440
It could it be executive order 11111?

1734
01:55:04,440 --> 01:55:06,440
Yeah, that's it.

1735
01:55:06,440 --> 01:55:07,440
11111.

1736
01:55:07,440 --> 01:55:08,440
Yep.

1737
01:55:08,440 --> 01:55:09,440
Yeah.

1738
01:55:09,440 --> 01:55:10,440
Are you serious?

1739
01:55:10,440 --> 01:55:12,140
Yeah, I found it.

1740
01:55:12,140 --> 01:55:16,560
It looks to be it matches all the details that George just laid out.

1741
01:55:16,560 --> 01:55:18,720
Oh, that's so QAnon.

1742
01:55:18,720 --> 01:55:21,600
Read that order, though.

1743
01:55:21,600 --> 01:55:26,320
It allows the National Guard, which normally Capacitum Comitatus is not allowed to leave

1744
01:55:26,320 --> 01:55:32,240
state lines, it allows them to do operations outside of I can send a National Guard from

1745
01:55:32,240 --> 01:55:39,280
Massachusetts into Alabama to guarantee the right of the student to go to the UAB.

1746
01:55:39,280 --> 01:55:43,120
And now I can use that against Capacitum Comitatus.

1747
01:55:43,120 --> 01:55:48,040
But more importantly, I can send a C-130, a DynCore C-130 and I can spray some kind

1748
01:55:48,040 --> 01:55:53,120
of Paraquad or whatever and then do sample collection.

1749
01:55:53,120 --> 01:55:55,800
I can send Michael Callahan down there and I can collect samples.

1750
01:55:55,800 --> 01:56:01,360
So it puts them in the driver's seat or in the pilot seat, I should say, for the virus

1751
01:56:01,360 --> 01:56:06,240
vaccine game for testing because they have this presidential authorization, Alabama National

1752
01:56:06,240 --> 01:56:08,860
Guard, Air National Guard.

1753
01:56:08,860 --> 01:56:13,280
One more little piece of trivia, and I don't know if for sure we can answer this together,

1754
01:56:13,280 --> 01:56:14,400
but I bet we can.

1755
01:56:14,400 --> 01:56:19,920
So some of Remdesivir, I don't know why Remdesivir was developed in multiple locations, but it

1756
01:56:19,920 --> 01:56:21,660
was developed at UAB.

1757
01:56:21,660 --> 01:56:26,760
It was developed at UNC Chapel Hill, which is where Ralph Baric is, of course.

1758
01:56:26,760 --> 01:56:31,680
And was it also developed at University of Washington?

1759
01:56:31,680 --> 01:56:38,320
I know it was tested at UNC a lot.

1760
01:56:38,320 --> 01:56:40,480
Ralph Baric's involved testing a lot of stuff.

1761
01:56:40,480 --> 01:56:42,760
I don't know if it was at University of Washington.

1762
01:56:42,760 --> 01:56:48,280
I know UAB, University of Alabama was the one that I've heard is the place where it

1763
01:56:48,280 --> 01:56:49,280
was developed.

1764
01:56:49,280 --> 01:56:58,200
Well, that executive order 11111, I guess there has to be one.

1765
01:56:58,200 --> 01:57:00,780
It just seems silly.

1766
01:57:00,780 --> 01:57:04,280
It is silly, but what I'm saying is if you were going to try to write into somebody's

1767
01:57:04,280 --> 01:57:11,040
genome, you would be best to mimic genes or mechanisms, human mechanisms that already

1768
01:57:11,040 --> 01:57:12,720
do that.

1769
01:57:12,720 --> 01:57:14,200
When do we know that happens?

1770
01:57:14,200 --> 01:57:18,620
Well, when the cell makes protein or when the cell divides.

1771
01:57:18,620 --> 01:57:19,620
When does that happen?

1772
01:57:19,620 --> 01:57:26,000
Well, when there's RNA polymerase around, when there's DNA polymerase around, when there's

1773
01:57:26,000 --> 01:57:27,520
reverse transcriptase around.

1774
01:57:27,520 --> 01:57:31,880
And so you just basically copy those kind of molecules.

1775
01:57:31,880 --> 01:57:35,560
If you look at remdesivir, it's actually a form of ATP.

1776
01:57:35,560 --> 01:57:43,660
The ATP molecule is the energy molecule, obviously, for citric acid cycle for our bodies.

1777
01:57:43,660 --> 01:57:48,880
So now I can patent things that go in the citric acid cycle for the energy cycle, oxidative

1778
01:57:48,880 --> 01:57:51,460
phosphorylation in the mitochondria.

1779
01:57:51,460 --> 01:58:01,100
But now also ATP is the side chain on the nucleotides and nucleosides in all of my DNA.

1780
01:58:01,100 --> 01:58:09,080
So I can hang something off of the ATP and make it proprietary and make it patentable.

1781
01:58:09,080 --> 01:58:16,240
And they did this with uridine.

1782
01:58:16,240 --> 01:58:22,160
Pseudo-uridine replaced uracil as a nucleoside in the RNA.

1783
01:58:22,160 --> 01:58:26,920
It's patentable when you put in your own nucleotide, your own nucleoside.

1784
01:58:26,920 --> 01:58:29,880
Right.

1785
01:58:29,880 --> 01:58:32,680
Using something artificial to make it patentable.

1786
01:58:32,680 --> 01:58:38,400
Yeah, this is going to be so dangerous over the next few years if this is what we're experimenting

1787
01:58:38,400 --> 01:58:39,400
with.

1788
01:58:39,400 --> 01:58:43,000
Rumsfeld put together two amino acids.

1789
01:58:43,000 --> 01:58:50,560
Rumsfeld put together two acids at Serle and created NutriSweet and patented it.

1790
01:58:50,560 --> 01:58:58,040
Two natural amino acids slapped together, created NutriSweet, a new product.

1791
01:58:58,040 --> 01:59:01,080
And you just had a picture of Ralph Baric.

1792
01:59:01,080 --> 01:59:10,760
I wanted to highlight something from a paper of his from June 2017.

1793
01:59:10,760 --> 01:59:18,120
I think that the, first of all, Baric should have known what was going on.

1794
01:59:18,120 --> 01:59:19,880
I wish he had spoke out against it.

1795
01:59:19,880 --> 01:59:25,280
He's responsible for not speaking out strongly against this stuff in early 2020.

1796
01:59:25,280 --> 01:59:27,400
Doesn't get a pass for that.

1797
01:59:27,400 --> 01:59:37,320
However, in a 2017 paper, talking about testing GS5734 remdesivir, okay, the data suggested

1798
01:59:37,320 --> 01:59:44,920
that reductions in viral load after peak lung titers were achieved were insufficient to

1799
01:59:44,920 --> 01:59:50,840
improve outcomes after the immunopathological phase of the disease has been initiated.

1800
01:59:50,840 --> 01:59:58,360
In 2017 papers, he and other people had already documented that if you're using remdesivir

1801
01:59:58,360 --> 02:00:00,840
late, not going to help you.

1802
02:00:00,840 --> 02:00:02,720
This was known.

1803
02:00:02,720 --> 02:00:09,480
And how were these critical statements and abstracts and summaries of remdesivir testing

1804
02:00:09,480 --> 02:00:10,960
been overlooked?

1805
02:00:10,960 --> 02:00:15,320
And how is it that not one person who seems to be prancing around right now saying, let's

1806
02:00:15,320 --> 02:00:20,300
blame it all on Baric, pick up on the fact that they documented it, that this was not

1807
02:00:20,300 --> 02:00:23,960
going to work after initial exposure?

1808
02:00:23,960 --> 02:00:26,100
And that's what I've said earlier.

1809
02:00:26,100 --> 02:00:30,920
This was developed for the war fighter, for all of these synthetic agents protection and

1810
02:00:30,920 --> 02:00:35,120
potentially having a role in protecting them while doing distribution.

1811
02:00:35,120 --> 02:00:36,700
This was known.

1812
02:00:36,700 --> 02:00:41,800
So the remdesivir angle is, and did the domain product have any ability?

1813
02:00:41,800 --> 02:00:46,940
Did anything in there say that, you know, does it measure, you know, time that it should

1814
02:00:46,940 --> 02:00:50,600
be used or is it just doing molecular analysis?

1815
02:00:50,600 --> 02:00:53,720
Like oh, this is one piece of, this is one Lego and this is another Lego.

1816
02:00:53,720 --> 02:00:55,680
Do they fit or do they not fit?

1817
02:00:55,680 --> 02:00:57,360
Did it factor any of that in?

1818
02:00:57,360 --> 02:01:01,120
Because if it didn't, then it was negligent.

1819
02:01:01,120 --> 02:01:02,600
Intentionally so, I don't know.

1820
02:01:02,600 --> 02:01:08,480
But I'm glad that you brought up Baric's picture here because this brings up that there was

1821
02:01:08,480 --> 02:01:10,440
this knowledge out there already.

1822
02:01:10,440 --> 02:01:16,680
And again, instead of talking about this stuff, we're saying DOD bad and let's talk about,

1823
02:01:16,680 --> 02:01:20,800
let's see, let's have another $2,000 plate fundraiser for the Vaccine Safety Research

1824
02:01:20,800 --> 02:01:24,280
Institute based upon data, which we're not going to dig into.

1825
02:01:24,280 --> 02:01:26,280
This is where the duality model.

1826
02:01:26,280 --> 02:01:27,280
$2,500, Mark.

1827
02:01:27,280 --> 02:01:29,760
Oh, oh, I'm, I'm sorry.

1828
02:01:29,760 --> 02:01:30,760
You know what?

1829
02:01:30,760 --> 02:01:32,480
Yeah, sorry.

1830
02:01:32,480 --> 02:01:40,120
This is where the duality model that we started talking about near the beginning of this matters.

1831
02:01:40,120 --> 02:01:41,800
You know, is this intentional?

1832
02:01:41,800 --> 02:01:42,800
Is it negligence?

1833
02:01:42,800 --> 02:01:44,800
Is it accidental?

1834
02:01:44,800 --> 02:01:46,480
Whatever, right?

1835
02:01:46,480 --> 02:01:55,760
Because our next few slides, you know, I said, you know, ash conformity meets A-B testing.

1836
02:01:55,760 --> 02:02:01,200
We have, throughout 2020, I've never seen this before or since to this degree, this

1837
02:02:01,200 --> 02:02:02,200
level.

1838
02:02:02,200 --> 02:02:07,240
There's constant polling of what people think about these drugs.

1839
02:02:07,240 --> 02:02:13,840
Right, this is a fierce form of 42% of those polled about Gilead said they warmed to the

1840
02:02:13,840 --> 02:02:16,680
remdesivir maker.

1841
02:02:16,680 --> 02:02:18,400
That's an August 10th of 2020.

1842
02:02:18,400 --> 02:02:21,520
It didn't look anything like that earlier in the year.

1843
02:02:21,520 --> 02:02:23,120
Let's take a look at some more studies.

1844
02:02:23,120 --> 02:02:29,600
May 7th, 2020, the majority of global physicians use hydroxychloroquine.

1845
02:02:29,600 --> 02:02:35,320
That's just five months earlier in a large survey across many countries.

1846
02:02:35,320 --> 02:02:36,320
Right.

1847
02:02:36,320 --> 02:02:37,480
What else do we have?

1848
02:02:37,480 --> 02:02:39,680
Let's see.

1849
02:02:39,680 --> 02:02:47,560
Here's a poll.

1850
02:02:47,560 --> 02:02:53,040
A verdict has conducted a poll to assess which is currently the most promising therapeutic

1851
02:02:53,040 --> 02:02:56,040
drug or class for COVID-19.

1852
02:02:56,040 --> 02:03:02,120
Analysis of the poll results show that remdesivir, either alone or in combination without drugs,

1853
02:03:02,120 --> 02:03:09,640
is considered the most promising drug or class for COVID-19 as voted by 22% of the respondents

1854
02:03:09,640 --> 02:03:10,640
this year.

1855
02:03:10,640 --> 02:03:11,640
This is October.

1856
02:03:11,640 --> 02:03:12,640
We've gone October, May, October.

1857
02:03:12,640 --> 02:03:15,440
We're looking back and forth.

1858
02:03:15,440 --> 02:03:19,760
Later in the year, remdesivir, earlier in the year, hydroxychloroquine.

1859
02:03:19,760 --> 02:03:30,440
By later in the year, you only have 5% of respondents voting for other antivirals, and

1860
02:03:30,440 --> 02:03:33,080
that's it.

1861
02:03:33,080 --> 02:03:37,680
Hydroxychloroquine had just been beaten down at that point, but the studies looked better

1862
02:03:37,680 --> 02:03:40,080
and better as the year went on.

1863
02:03:40,080 --> 02:03:43,480
All the crap studies were earlier in the year.

1864
02:03:43,480 --> 02:03:44,480
Let's see.

1865
02:03:44,480 --> 02:03:45,480
Is this one more?

1866
02:03:45,480 --> 02:03:46,480
No.

1867
02:03:46,480 --> 02:03:52,880
This is just China approves chloroquine and kicks remdesivir to the curb.

1868
02:03:52,880 --> 02:03:58,440
They did exactly the opposite.

1869
02:03:58,440 --> 02:03:59,440
Exactly the opposite plan.

1870
02:03:59,440 --> 02:04:02,880
Did we lose George and Mark while I was reading?

1871
02:04:02,880 --> 02:04:06,280
Am I that bad at reading?

1872
02:04:06,280 --> 02:04:07,280
They got him.

1873
02:04:07,280 --> 02:04:12,240
That's pretty brutal indeed, but I don't think that's why you lost him.

1874
02:04:12,240 --> 02:04:14,200
We have been going on for over two hours.

1875
02:04:14,200 --> 02:04:17,520
I do have another 25 slides left.

1876
02:04:17,520 --> 02:04:21,280
Maybe I'll push through them a little bit more quickly.

1877
02:04:21,280 --> 02:04:22,280
I think so.

1878
02:04:22,280 --> 02:04:23,960
Just to clarify, Mark looks like he might be back.

1879
02:04:23,960 --> 02:04:26,440
I'm going to guess George's phone overheated again.

1880
02:04:26,440 --> 02:04:27,440
Yeah.

1881
02:04:27,440 --> 02:04:28,440
Yeah.

1882
02:04:28,440 --> 02:04:29,600
My estimation.

1883
02:04:29,600 --> 02:04:33,900
So Trump gets experimental drug curbing severe illness.

1884
02:04:33,900 --> 02:04:39,880
So between these two times, May and October, when the public opinion shifted, look at who

1885
02:04:39,880 --> 02:04:41,640
we have.

1886
02:04:41,640 --> 02:04:48,800
David Bullwer started advising the president in May of 2020.

1887
02:04:48,800 --> 02:04:54,880
The president stopped using hydroxychloroquine, started using Regeneron.

1888
02:04:54,880 --> 02:05:03,240
And David Bullwer said, I'm not surprised that his doctor is using Regeneron, but also

1889
02:05:03,240 --> 02:05:11,360
he used remdesivir at the military hospital.

1890
02:05:11,360 --> 02:05:15,000
So wait, sorry to clarify, Trump himself received remdesivir?

1891
02:05:15,000 --> 02:05:17,400
Yes, he did.

1892
02:05:17,400 --> 02:05:22,640
Earlier in the year, he was using hydroxychloroquine as prophylaxis, but then he stopped at some

1893
02:05:22,640 --> 02:05:23,640
point.

1894
02:05:23,640 --> 02:05:29,760
David Bullwer, I think, was one of, or maybe his own doctor, but Bullwer was advising as

1895
02:05:29,760 --> 02:05:32,160
of I think sometime in May.

1896
02:05:32,160 --> 02:05:36,760
And it's funny, I was actually getting online and seeing if I could poke at him and ask

1897
02:05:36,760 --> 02:05:42,560
him questions and see if I could just kind of needle a message to him in the middle of

1898
02:05:42,560 --> 02:05:43,560
2020.

1899
02:05:43,560 --> 02:05:47,560
And after I'd done that for a few days, he got in an interview and complained about Russian

1900
02:05:47,560 --> 02:05:51,680
trolls.

1901
02:05:51,680 --> 02:05:56,080
And I think he might have actually been talking about me.

1902
02:05:56,080 --> 02:06:04,200
Anyhow, here's one more.

1903
02:06:04,200 --> 02:06:12,100
Gilead rebranded remdesivir as Covaphor in India.

1904
02:06:12,100 --> 02:06:16,760
Just to make it sound like it was like a new COVID drug, like specific to COVID, you should

1905
02:06:16,760 --> 02:06:20,560
take this one because that's what it's for.

1906
02:06:20,560 --> 02:06:25,160
It's Covaphor.

1907
02:06:25,160 --> 02:06:26,840
Make fabaflu better.

1908
02:06:26,840 --> 02:06:33,120
Fabaflu sounds really safe and effective.

1909
02:06:33,120 --> 02:06:34,120
Sexaflu?

1910
02:06:34,120 --> 02:06:43,380
Okay, wait, I really want to make sure this is correct because I think there's been contention

1911
02:06:43,380 --> 02:06:49,280
as to whether the R word that Trump received, it's my understanding he only received one

1912
02:06:49,280 --> 02:06:52,840
of the two and that it was Regeneron, not remdesivir.

1913
02:06:52,840 --> 02:06:55,560
Is that, how confident are you?

1914
02:06:55,560 --> 02:06:57,480
No, no, I'm pretty sure.

1915
02:06:57,480 --> 02:06:59,640
I've read this multiple times.

1916
02:06:59,640 --> 02:07:00,640
Okay.

1917
02:07:00,640 --> 02:07:01,640
Okay.

1918
02:07:01,640 --> 02:07:04,880
I think he received both.

1919
02:07:04,880 --> 02:07:10,640
Or you know what, frankly, I don't, these are reports, right?

1920
02:07:10,640 --> 02:07:11,920
Yeah, of course.

1921
02:07:11,920 --> 02:07:17,920
Given what we've seen, let's just say everything here is a report.

1922
02:07:17,920 --> 02:07:20,200
Yeah, yeah, understood.

1923
02:07:20,200 --> 02:07:21,200
Yep.

1924
02:07:21,200 --> 02:07:22,200
It's not clear.

1925
02:07:22,200 --> 02:07:25,080
We've seen it both ways.

1926
02:07:25,080 --> 02:07:35,560
The confusion of the name lends itself, whether it was intentional or not, to be confused.

1927
02:07:35,560 --> 02:07:38,440
I'm not sure what he really sees.

1928
02:07:38,440 --> 02:07:45,760
I suspect it was just remdesivir, but again, I too am just reading reports, so who knows?

1929
02:07:45,760 --> 02:07:51,280
So I mentioned that there were a whole bunch of bad hydroxychloroquine studies.

1930
02:07:51,280 --> 02:07:53,800
I mean, Regeneron, just Regeneron, not remdesivir.

1931
02:07:53,800 --> 02:07:54,800
I'm sorry.

1932
02:07:54,800 --> 02:07:56,760
I think he just got, I'm sorry to cut you off, Matt.

1933
02:07:56,760 --> 02:07:57,760
That's right.

1934
02:07:57,760 --> 02:08:00,200
CNN does say that he got both.

1935
02:08:00,200 --> 02:08:09,720
CNN says that he was given a five-day course of remdesivir that started on October 4th,

1936
02:08:09,720 --> 02:08:11,240
2020.

1937
02:08:11,240 --> 02:08:15,880
And then it mentions that this became the first therapy drug issued in emergency use

1938
02:08:15,880 --> 02:08:17,880
authorization.

1939
02:08:17,880 --> 02:08:24,880
But they do report he was given Regeneron, remdesivir, dexamethasone, supplemental oxygen,

1940
02:08:24,880 --> 02:08:31,400
zinc, vitamin D, famotidine, melatonin, and daily aspirin.

1941
02:08:31,400 --> 02:08:32,840
Interesting.

1942
02:08:32,840 --> 02:08:34,560
And nano silver.

1943
02:08:34,560 --> 02:08:36,040
And nano silver, I'm sure.

1944
02:08:36,040 --> 02:08:37,720
You forgot about the nano silver.

1945
02:08:37,720 --> 02:08:47,840
Yeah, nano silver, which is not to be confused with small denomination coins from pre 1964.

1946
02:08:47,840 --> 02:08:52,560
Editas on Rumble just said, let's base it on which drug has more Instagram followers.

1947
02:08:52,560 --> 02:08:53,560
Face palm.

1948
02:08:53,560 --> 02:08:56,880
I thought that was a valid criticism.

1949
02:08:56,880 --> 02:09:05,440
Well, I'm just kind of going through here showing that even in the media, like in October,

1950
02:09:05,440 --> 02:09:12,360
even like, you know, even Ars Technica and science are starting to go, you know, like

1951
02:09:12,360 --> 02:09:19,960
the remdesivir story is kind of a head scratcher.

1952
02:09:19,960 --> 02:09:21,920
Mark's screen is still not visible.

1953
02:09:21,920 --> 02:09:24,720
I don't know if he's got an image available or not.

1954
02:09:24,720 --> 02:09:25,720
That's all right.

1955
02:09:25,720 --> 02:09:27,880
I'm kind of pushing through a little bit faster at this point.

1956
02:09:27,880 --> 02:09:28,880
But you know what?

1957
02:09:28,880 --> 02:09:31,840
Here's one that we've already discussed that we discussed at the beginning while Mark was

1958
02:09:31,840 --> 02:09:36,640
still here, while both Mark and George were still here.

1959
02:09:36,640 --> 02:09:40,720
Yeah, this is all the way, this is late 2019.

1960
02:09:40,720 --> 02:09:45,760
We've got this domain program.

1961
02:09:45,760 --> 02:09:51,280
And then Pfizer agrees to manufacture Gilead's coronavirus drug remdesivir.

1962
02:09:51,280 --> 02:09:56,240
And you know, I threw this in here just because I found this and I just thought it was interesting.

1963
02:09:56,240 --> 02:09:59,800
You know, and Pfizer does have just an amazing distribution network.

1964
02:09:59,800 --> 02:10:00,800
We know that much.

1965
02:10:00,800 --> 02:10:03,920
But but you know what?

1966
02:10:03,920 --> 02:10:06,400
Oh, Mark, I got this one from you.

1967
02:10:06,400 --> 02:10:07,400
You know what this is?

1968
02:10:07,400 --> 02:10:13,920
What does this represent?

1969
02:10:13,920 --> 02:10:15,320
I see a stock chart.

1970
02:10:15,320 --> 02:10:19,840
Yeah, the stocks going up in November 2019.

1971
02:10:19,840 --> 02:10:20,840
Is that correct?

1972
02:10:20,840 --> 02:10:21,840
Twenty two.

1973
02:10:21,840 --> 02:10:22,840
Twenty twenty two.

1974
02:10:22,840 --> 02:10:25,320
I don't know what we're looking at here.

1975
02:10:25,320 --> 02:10:26,320
Okay.

1976
02:10:26,320 --> 02:10:28,440
I got this observation from you.

1977
02:10:28,440 --> 02:10:30,440
Oh, yeah.

1978
02:10:30,440 --> 02:10:33,720
What is that election time?

1979
02:10:33,720 --> 02:10:34,720
Right.

1980
02:10:34,720 --> 02:10:35,720
Yeah.

1981
02:10:35,720 --> 02:10:42,920
Yep, when when it became clear that the Republicans weren't going to take the House and Senate,

1982
02:10:42,920 --> 02:10:50,520
suddenly the stock price of Gilead, Gilead surged up big time.

1983
02:10:50,520 --> 02:10:51,720
Yeah.

1984
02:10:51,720 --> 02:10:59,240
And by the way, this is the stock price for the last 30 plus years, it looks like.

1985
02:10:59,240 --> 02:11:08,240
And I just want to point out that it's right at the end of 2012 that Gilead just.

1986
02:11:08,240 --> 02:11:10,760
Booms.

1987
02:11:10,760 --> 02:11:15,280
2012.

1988
02:11:15,280 --> 02:11:16,280
When was when was.

1989
02:11:16,280 --> 02:11:17,280
Oh, yes.

1990
02:11:17,280 --> 02:11:20,440
Well, Ebola is around that point.

1991
02:11:20,440 --> 02:11:25,280
And West Africa, Ebola outbreak 2013.

1992
02:11:25,280 --> 02:11:28,160
Yeah.

1993
02:11:28,160 --> 02:11:37,320
But it keeps going up through 2016 or maybe end of 20, middle of 2015 is what it peaks.

1994
02:11:37,320 --> 02:11:41,000
What kind of sense does this make?

1995
02:11:41,000 --> 02:11:44,280
What's the signal?

1996
02:11:44,280 --> 02:11:49,280
A Trump presidency seemed problematic.

1997
02:11:49,280 --> 02:11:53,480
That's interesting thought, but it looks like it starts going down from the peak before

1998
02:11:53,480 --> 02:11:57,720
Trump is elected, if I'm not mistaken.

1999
02:11:57,720 --> 02:12:02,400
I'm actually just wondering if the run up like end of 2012, beginning of 2013, is it

2000
02:12:02,400 --> 02:12:09,600
possible that planning was underway, that the dollar was dying?

2001
02:12:09,600 --> 02:12:15,000
We knew something big would happen and we knew the pharmaceuticals would be involved.

2002
02:12:15,000 --> 02:12:19,680
But how does it compare to either the rest of the pharmaceutical market or the stock

2003
02:12:19,680 --> 02:12:20,680
market as a whole?

2004
02:12:20,680 --> 02:12:21,680
Don't know.

2005
02:12:21,680 --> 02:12:22,680
Didn't have time to research that.

2006
02:12:22,680 --> 02:12:28,080
I got the first chart watching a you know, poking through Mark's videos.

2007
02:12:28,080 --> 02:12:32,420
And then you made a short video of this mark a few weeks ago.

2008
02:12:32,420 --> 02:12:36,240
And then I just thought to look at the longer chart, but I didn't have time to look at the

2009
02:12:36,240 --> 02:12:38,240
broader market.

2010
02:12:38,240 --> 02:12:45,960
I do know this, that health stocks went up like an order of a magnitude after Obama passed

2011
02:12:45,960 --> 02:12:50,600
the ACA and we were post mortgage bond crisis.

2012
02:12:50,600 --> 02:12:54,240
So there may be some relationship there.

2013
02:12:54,240 --> 02:13:05,320
Oh, and look, Robert Mulan got suspended following 666 people on Twitter.

2014
02:13:05,320 --> 02:13:08,200
That's a little cute.

2015
02:13:08,200 --> 02:13:15,920
But he got all kinds of attention, you know, thrusting toward Rogan.

2016
02:13:15,920 --> 02:13:21,800
And you know, I'm just pointing out May 3rd, 2020, Ed Dowd has a real interesting predictive

2017
02:13:21,800 --> 02:13:24,920
thread may be worth going and reading.

2018
02:13:24,920 --> 02:13:28,600
But I'm going to go ahead and since since we've taken so much time, I'm going to try

2019
02:13:28,600 --> 02:13:32,080
to get us through this last part more quickly.

2020
02:13:32,080 --> 02:13:39,040
Just a reminder, Malone and Kirsch were kind of, you know, they put themselves out there

2021
02:13:39,040 --> 02:13:43,080
same time Dark Horse podcast.

2022
02:13:43,080 --> 02:13:46,040
Yep.

2023
02:13:46,040 --> 02:13:53,840
And I've got one more study to talk about that relates to Steve Kirsch, misinformation

2024
02:13:53,840 --> 02:13:56,600
super spreader.

2025
02:13:56,600 --> 02:14:05,560
And this was published three, four days ago by Charles Wright.

2026
02:14:05,560 --> 02:14:12,440
Turns out that that Steve funded a trial in which the standard of care for a lot of patients

2027
02:14:12,440 --> 02:14:17,000
was remdesivir funded by the COVID early treatment foundation.

2028
02:14:17,000 --> 02:14:19,040
And it's interesting to read through this.

2029
02:14:19,040 --> 02:14:21,760
It's also interesting to read his shirt.

2030
02:14:21,760 --> 02:14:22,920
And I don't know if you can read this.

2031
02:14:22,920 --> 02:14:24,080
I can't read it at this point.

2032
02:14:24,080 --> 02:14:33,280
I knew what it said before, but it's like person who shares accurate but inconvenient.

2033
02:14:33,280 --> 02:14:34,760
What?

2034
02:14:34,760 --> 02:14:40,200
Truth, truths, truth conflict with the improved narrative.

2035
02:14:40,200 --> 02:14:41,200
Yep.

2036
02:14:41,200 --> 02:14:52,600
But the interesting thing is those labeled with this title are, are, I think he's going

2037
02:14:52,600 --> 02:15:00,280
to say that are proved right within a few months or sometimes years.

2038
02:15:00,280 --> 02:15:01,780
It's Watchmen.

2039
02:15:01,780 --> 02:15:04,840
So something like government and it's Watchmen.

2040
02:15:04,840 --> 02:15:05,840
Yeah.

2041
02:15:05,840 --> 02:15:06,840
Okay.

2042
02:15:06,840 --> 02:15:12,120
And that's where I thought it was interesting because, you know, partially due to Mark and

2043
02:15:12,120 --> 02:15:16,920
just a conversation with Mark and just sort of rethinking everything over and over again,

2044
02:15:16,920 --> 02:15:24,440
I have actually grown to wonder if the plan demonium or World War II involves a non-state

2045
02:15:24,440 --> 02:15:26,040
actor.

2046
02:15:26,040 --> 02:15:32,600
And in fact, when Robert Malone talks about fifth generation warfare, it almost sounds

2047
02:15:32,600 --> 02:15:38,400
to me like he is telegraphing the fact that one party is a non-state actor.

2048
02:15:38,400 --> 02:15:40,960
Yeah.

2049
02:15:40,960 --> 02:15:45,280
But couldn't that also just refer to the social media companies?

2050
02:15:45,280 --> 02:15:48,040
If you want to call them the government.

2051
02:15:48,040 --> 02:15:54,520
But I think that, I think this is being a little more plain than that.

2052
02:15:54,520 --> 02:16:00,160
I mean, one of my hypotheses of World War II is globalist versus the United States of

2053
02:16:00,160 --> 02:16:03,000
America.

2054
02:16:03,000 --> 02:16:10,680
If you had to define the two strongest entities in the world, those might be perfectly reasonable

2055
02:16:10,680 --> 02:16:14,760
descriptions.

2056
02:16:14,760 --> 02:16:16,020
Then where do you set them?

2057
02:16:16,020 --> 02:16:22,320
Because for me, the most obvious place to put this would be somewhere like the city

2058
02:16:22,320 --> 02:16:34,160
of London or the financial industry or banking or I mean, because at some point we have to

2059
02:16:34,160 --> 02:16:35,400
call spade a spade.

2060
02:16:35,400 --> 02:16:40,440
Who are the people that are ultimately pulling strings are the people who hold the purse

2061
02:16:40,440 --> 02:16:42,320
strings, I would believe.

2062
02:16:42,320 --> 02:16:50,000
So anybody with a weaponized pile of money or control over a weaponized pile of money.

2063
02:16:50,000 --> 02:16:52,720
And this may also be why World War II is weird.

2064
02:16:52,720 --> 02:16:58,360
I've often referred to the military banking complex because I say in civilization in a

2065
02:16:58,360 --> 02:17:07,520
kingdom, the bank needs to side with the military and the military needs the bank for financing.

2066
02:17:07,520 --> 02:17:10,960
There's a symbiotic relationship.

2067
02:17:10,960 --> 02:17:16,520
But perhaps there is a point of instability in which one of these is trying to gain the

2068
02:17:16,520 --> 02:17:20,440
upper hand over the other, which previously had the upper hand.

2069
02:17:20,440 --> 02:17:27,040
Throwing it out there or maybe the American banking system was strong enough for a while.

2070
02:17:27,040 --> 02:17:30,960
But now I don't even know what I'm saying there.

2071
02:17:30,960 --> 02:17:36,180
But I still I do think about the Rothschild empire and the Rothschilds, of course, banked

2072
02:17:36,180 --> 02:17:48,880
John Rockefeller, who created pharma medicine in the US, whose whose son then created the

2073
02:17:48,880 --> 02:17:51,160
Trilateral Commission.

2074
02:17:51,160 --> 02:17:59,320
And then we had 40 consecutive years of Trilateral Commission presidents.

2075
02:17:59,320 --> 02:18:06,320
40 consecutive years of presidents who are mentored by or took I'm just going to say

2076
02:18:06,320 --> 02:18:07,320
orders.

2077
02:18:07,320 --> 02:18:13,400
I mean, it sounds like Reagan answered the phone and said, OK, I'll take Bush.

2078
02:18:13,400 --> 02:18:14,840
That's the story.

2079
02:18:14,840 --> 02:18:15,840
Right.

2080
02:18:15,840 --> 02:18:23,920
But David Rockefeller, Brzezinski mentored Obama later on, and he was there through,

2081
02:18:23,920 --> 02:18:28,320
gosh, Carter, Reagan, Bush.

2082
02:18:28,320 --> 02:18:30,520
You know, Clinton was mentored by David Rockefeller.

2083
02:18:30,520 --> 02:18:33,340
Yeah, 40 consecutive years.

2084
02:18:33,340 --> 02:18:39,020
So when I look at that and I think globalists could have been planting themselves in a lot

2085
02:18:39,020 --> 02:18:44,780
of levers in order to be able to fuss with the machinery of the United States and possibly

2086
02:18:44,780 --> 02:18:52,200
even cause an autoimmune condition by which US citizens want to tear down the body of

2087
02:18:52,200 --> 02:18:56,520
their nation.

2088
02:18:56,520 --> 02:18:58,920
Just a thought.

2089
02:18:58,920 --> 02:19:02,840
Just saying it out loud right now.

2090
02:19:02,840 --> 02:19:05,080
I don't think I don't think it's too crazy of a thought.

2091
02:19:05,080 --> 02:19:09,400
I mean, a lot of us have been circling this idea from different angles.

2092
02:19:09,400 --> 02:19:14,400
The controlled demolition of America is something that I've often called it.

2093
02:19:14,400 --> 02:19:20,720
It's getting both sides to call for turning it down to the studs, basically.

2094
02:19:20,720 --> 02:19:25,040
And Robert F. Kennedy Jr. has used that language before.

2095
02:19:25,040 --> 02:19:27,680
I've heard Robert Malone use that language before.

2096
02:19:27,680 --> 02:19:33,600
I've heard people as disparate as Kevin McCairn use that language before, where everything

2097
02:19:33,600 --> 02:19:36,640
just needs to be burned all down.

2098
02:19:36,640 --> 02:19:41,020
And I think irrespective of whether you come from the extreme left and say that the whole

2099
02:19:41,020 --> 02:19:46,320
system is so corrupt that it should be brought down because of the systemic racism, or if

2100
02:19:46,320 --> 02:19:53,260
you say that because they're lying about everything and that's why it needs to be burnt down.

2101
02:19:53,260 --> 02:19:59,000
But both sides of that equation result in the same outcome, which is the destruction

2102
02:19:59,000 --> 02:20:03,440
of the American democracy or the American republic, as I guess we should call it.

2103
02:20:03,440 --> 02:20:06,560
And Jay, I'm fairly certain you yourself have used that language.

2104
02:20:06,560 --> 02:20:10,420
I'm having a vivid memory of one of our previous conversations together.

2105
02:20:10,420 --> 02:20:18,640
And I think the reason this matters is if people can be sort of fooled into accidentally

2106
02:20:18,640 --> 02:20:19,640
doing that.

2107
02:20:19,640 --> 02:20:21,440
Like if we wind up.

2108
02:20:21,440 --> 02:20:27,160
I mean, a nice little example of it is this idea that Americans, there are this fringe

2109
02:20:27,160 --> 02:20:32,800
group of Americans on both sides that are advocating for one possible solution being

2110
02:20:32,800 --> 02:20:35,520
a constitutional convention.

2111
02:20:35,520 --> 02:20:41,000
And in reality, a constitutional convention could be the easiest way for us to flush everything

2112
02:20:41,000 --> 02:20:46,320
down the toilet because by opening the constitution up for editing, it doesn't guarantee what

2113
02:20:46,320 --> 02:20:47,640
edits will go in.

2114
02:20:47,640 --> 02:20:52,560
You don't vote for a constitutional convention and agree on what you're going to change until

2115
02:20:52,560 --> 02:20:54,120
after it's open.

2116
02:20:54,120 --> 02:20:59,880
And at that stage, if anybody lied in terms of their intentions on getting it open, we're

2117
02:20:59,880 --> 02:21:00,880
screwed.

2118
02:21:00,880 --> 02:21:07,280
And in reality, that's where we are already for 40 years, people telling us a story about

2119
02:21:07,280 --> 02:21:11,120
what their motivations are and then not following through with it.

2120
02:21:11,120 --> 02:21:15,140
And you could go and put this in a million different perspectives, but this is really

2121
02:21:15,140 --> 02:21:16,760
how they do it.

2122
02:21:16,760 --> 02:21:24,200
And the solution to the pandemic may have been a planned solution to a problem that

2123
02:21:24,200 --> 02:21:25,640
they themselves created.

2124
02:21:25,640 --> 02:21:30,280
And I think most of us are there right now where we believe that it's just a question

2125
02:21:30,280 --> 02:21:37,120
of what degree to which everybody understood that they were part of an orchestrated event,

2126
02:21:37,120 --> 02:21:42,840
whether it's you should take advantage of the inevitable or whether you should take

2127
02:21:42,840 --> 02:21:48,320
advantage of being on the same team or whether you should just keep your head down.

2128
02:21:48,320 --> 02:21:49,520
I don't know.

2129
02:21:49,520 --> 02:21:51,080
Everybody's controlled in a different way.

2130
02:21:51,080 --> 02:21:53,160
There's not one explanation.

2131
02:21:53,160 --> 02:21:58,960
And I said this to somebody earlier this morning on a private call that I think an easy way

2132
02:21:58,960 --> 02:22:05,080
to summarize how we've been controlled in a lot of ways is to give a bunch of people

2133
02:22:05,080 --> 02:22:12,960
a set of talking points, A, B, and C, which are largely irrelevant, but correlate well

2134
02:22:12,960 --> 02:22:14,560
with reality.

2135
02:22:14,560 --> 02:22:20,400
And then prohibit everyone from talking about X, Y, and Z, which are the crucial points

2136
02:22:20,400 --> 02:22:21,760
to discuss.

2137
02:22:21,760 --> 02:22:27,960
And as long as you keep everybody arguing about A, B, and C and have all of your performers

2138
02:22:27,960 --> 02:22:33,480
arguing about A, B, and C where they don't agree about one of the three things, then

2139
02:22:33,480 --> 02:22:39,280
it seems like a really constructive conversation to have when in reality you should be talking

2140
02:22:39,280 --> 02:22:41,500
about these three things over here.

2141
02:22:41,500 --> 02:22:47,680
And I think once we start to acknowledge that there are people who have been talking about

2142
02:22:47,680 --> 02:22:54,120
A, B, and C from the very beginning, even before A, B, and C should have become relevant,

2143
02:22:54,120 --> 02:22:59,080
you can start to identify people who have been part of the distraction machinery all

2144
02:22:59,080 --> 02:23:00,080
along.

2145
02:23:00,080 --> 02:23:09,120
Well, one way or another, I lean toward Steve Kirsch and Robert Malone being on whichever

2146
02:23:09,120 --> 02:23:16,600
side wanted for him, DeSivir to wind up being the standard of care, because if you judge

2147
02:23:16,600 --> 02:23:23,840
the motivations by the outcomes, that seems to be what they've been a part of.

2148
02:23:23,840 --> 02:23:30,600
Now it's very possible that either or both of them were fooled, but it doesn't feel to

2149
02:23:30,600 --> 02:23:37,040
me like either one of them is waving their arms around saying on this topic, we were

2150
02:23:37,040 --> 02:23:40,920
fooled.

2151
02:23:40,920 --> 02:23:43,680
So I think the reason why is because they were instructed.

2152
02:23:43,680 --> 02:23:46,240
And I think this is the difference.

2153
02:23:46,240 --> 02:23:54,920
If you were told that you could never question Remdesivir and even pro forma support it through

2154
02:23:54,920 --> 02:24:00,920
a trial you fund or through whatever, then at that stage they've got you.

2155
02:24:00,920 --> 02:24:02,400
And they could have just agreed to this.

2156
02:24:02,400 --> 02:24:07,360
So that's what I mean with A, B, and C. I think that they released it in different combinations

2157
02:24:07,360 --> 02:24:13,400
where they might have called Liam and said, Liam, you can talk about the spike protein

2158
02:24:13,400 --> 02:24:17,560
and you can talk about gain of function viruses, but you can't talk about Remdesivir.

2159
02:24:17,560 --> 02:24:21,200
Then they called Brian Artis and they said, Brian Artis, you can talk about Remdesivir

2160
02:24:21,200 --> 02:24:26,560
as long as you talk about Cobra venom and as long as you focus only on those two things.

2161
02:24:26,560 --> 02:24:32,000
Then they called Pierre Corrie and they said, I know you think hydroxychloroquine works,

2162
02:24:32,000 --> 02:24:35,760
but we need you to emphasize ivermectin and ignore hydroxychloroquine.

2163
02:24:35,760 --> 02:24:38,560
And if you do that, your star will rise.

2164
02:24:38,560 --> 02:24:42,460
Then they called somebody else and they said, you focus on VAERS, but don't question the

2165
02:24:42,460 --> 02:24:43,920
protocols at all.

2166
02:24:43,920 --> 02:24:46,440
Just talk about VAERS and your star will rise.

2167
02:24:46,440 --> 02:24:50,800
And as long as they did this across the board, the whole narrative would never come together

2168
02:24:50,800 --> 02:24:54,560
in terms of the history or in terms of the ultimate motivation.

2169
02:24:54,560 --> 02:24:59,560
And for you, Matt, it may have been that they really never took you seriously until your

2170
02:24:59,560 --> 02:25:02,920
hydroxychloroquine wars really started to take off.

2171
02:25:02,920 --> 02:25:05,720
And then they had to find a way to distract you from that.

2172
02:25:05,720 --> 02:25:06,720
It's very possible.

2173
02:25:06,720 --> 02:25:12,120
And suddenly I'm on the DMED project and I don't think that they expected me to solve

2174
02:25:12,120 --> 02:25:14,480
that puzzle in four days.

2175
02:25:14,480 --> 02:25:18,360
And I want to add on, JJ.

2176
02:25:18,360 --> 02:25:23,680
So I haven't had anybody tell me not to talk about stuff, but I have certainly had, there's

2177
02:25:23,680 --> 02:25:29,720
at least one really specific instance where I, in retrospect, feel as though somebody

2178
02:25:29,720 --> 02:25:34,880
was trying to aim me in a direction that would have completely destroyed any credibility

2179
02:25:34,880 --> 02:25:36,600
I might have.

2180
02:25:36,600 --> 02:25:40,860
And so I feel I've experienced at least a version of what you're talking about.

2181
02:25:40,860 --> 02:25:47,440
And I don't think it always comes across, I think it can manifest in ways that would

2182
02:25:47,440 --> 02:25:49,380
be really hard to identify.

2183
02:25:49,380 --> 02:25:50,760
So I think it is real.

2184
02:25:50,760 --> 02:25:54,560
Robert Malone will tell you, fifth generation warfare is very complicated.

2185
02:25:54,560 --> 02:25:57,600
And so there's a million permutations of it.

2186
02:25:57,600 --> 02:26:00,960
And he just knows how it's done.

2187
02:26:00,960 --> 02:26:03,320
He's not involved.

2188
02:26:03,320 --> 02:26:07,120
This is why it's best to just lean on the truth as much as possible.

2189
02:26:07,120 --> 02:26:12,480
And this is why the DMED project was so important when it went wrong, is because I think a lot

2190
02:26:12,480 --> 02:26:19,960
of good people were convinced to ignore the truth in order to go with what they felt like

2191
02:26:19,960 --> 02:26:23,200
and what they were told was going to be a powerful story.

2192
02:26:23,200 --> 02:26:29,000
And it took the focus away from where it needed to be, which was the outside contractor handling

2193
02:26:29,000 --> 02:26:30,080
the data.

2194
02:26:30,080 --> 02:26:31,080
Why does that matter now?

2195
02:26:31,080 --> 02:26:36,240
I mean, not only was it possibly one treason, but if that is the right place to look, that

2196
02:26:36,240 --> 02:26:40,400
is the company that handles the US border data.

2197
02:26:40,400 --> 02:26:49,720
And if there is going to be any form of invasion or partial invasion or problem created, suddenly

2198
02:26:49,720 --> 02:26:54,360
we have left a criminal unexamined.

2199
02:26:54,360 --> 02:26:57,840
But you know what, I'm going to return to this one last study that we're going to discuss

2200
02:26:57,840 --> 02:26:59,400
because this is the end of the slideshow.

2201
02:26:59,400 --> 02:27:01,920
We can go wherever we want from here or we can close it out.

2202
02:27:01,920 --> 02:27:07,880
We've been going for two and a half hours and I thank you guys for your time and all

2203
02:27:07,880 --> 02:27:10,520
your knowledge and energy.

2204
02:27:10,520 --> 02:27:16,840
But this was a study that was pointed out by Charles Wright that is listed on the CETF,

2205
02:27:16,840 --> 02:27:19,640
the COVID Early Treatment Foundation website.

2206
02:27:19,640 --> 02:27:22,400
That's Kersh's Foundation.

2207
02:27:22,400 --> 02:27:24,960
I never heard of this one.

2208
02:27:24,960 --> 02:27:32,520
And what Charles noticed, and by the way, this is out of Denmark, which is why all the

2209
02:27:32,520 --> 02:27:35,760
names are Klingon.

2210
02:27:35,760 --> 02:27:43,080
What Charles noticed is that almost half of the participants in this trial were given

2211
02:27:43,080 --> 02:27:46,200
remdesivir.

2212
02:27:46,200 --> 02:27:59,140
And yet no one thought to break down the study between did and did not receive remdesivir.

2213
02:27:59,140 --> 02:28:03,440
And of course, whoever ran the study has that data.

2214
02:28:03,440 --> 02:28:06,880
They hold that data.

2215
02:28:06,880 --> 02:28:17,680
And by the way, this is a Camistat Mesolate and JJ, you can probably explain that better

2216
02:28:17,680 --> 02:28:18,680
than I can.

2217
02:28:18,680 --> 02:28:19,680
Protease inhibitor.

2218
02:28:19,680 --> 02:28:25,760
I guess it's used as part of HIV cocktails.

2219
02:28:25,760 --> 02:28:33,800
Yeah, I don't know the specific mechanism on how it interferes with replication though.

2220
02:28:33,800 --> 02:28:41,720
Protease inhibitor was administered to 96 participants, which were 47% of each group.

2221
02:28:41,720 --> 02:28:45,360
And there were deaths in the study.

2222
02:28:45,360 --> 02:28:47,760
It was about the same in both arms.

2223
02:28:47,760 --> 02:28:52,240
So they determined that this protease inhibitor did not work.

2224
02:28:52,240 --> 02:29:05,120
I just want to point out though, when you search under Steve's substack for remdesivir,

2225
02:29:05,120 --> 02:29:06,120
you don't find much.

2226
02:29:06,120 --> 02:29:08,800
He doesn't talk about it much.

2227
02:29:08,800 --> 02:29:14,600
But he does have this one article from late 2021 that lists all the things, you know,

2228
02:29:14,600 --> 02:29:19,480
it's pages long, all the things that he would do if he were king, basically, king of the

2229
02:29:19,480 --> 02:29:20,560
pandemic.

2230
02:29:20,560 --> 02:29:25,720
And what he said about hospitals, I clip these, I shoved them together at the beginning of

2231
02:29:25,720 --> 02:29:28,400
the article on the part about hospitals.

2232
02:29:28,400 --> 02:29:31,680
Number two, halt the use of remdesivir for hospitalized patients.

2233
02:29:31,680 --> 02:29:37,000
It doesn't work and it is basically killing people.

2234
02:29:37,000 --> 02:29:39,840
I think for hospitalized patients, I agree that it doesn't work.

2235
02:29:39,840 --> 02:29:45,980
It may help, you know, antiviral early, but it's also way too expensive to use early.

2236
02:29:45,980 --> 02:29:49,360
And it's probably also not the best thing.

2237
02:29:49,360 --> 02:29:52,800
So is it killing people?

2238
02:29:52,800 --> 02:29:55,080
Probably.

2239
02:29:55,080 --> 02:30:00,440
Probably some people who are more subject to renal failure.

2240
02:30:00,440 --> 02:30:06,960
You know, there's probably a subset of people for whom it increases the chance of death.

2241
02:30:06,960 --> 02:30:09,480
That's my opinion reading through the data.

2242
02:30:09,480 --> 02:30:11,640
Perhaps for some people, it's fine.

2243
02:30:11,640 --> 02:30:19,800
Through the transcript of the 2021, the infamous, just the Dark Horse podcast show, right?

2244
02:30:19,800 --> 02:30:22,240
Just that one.

2245
02:30:22,240 --> 02:30:28,880
Steve Kirsch mentioned remdesivir, I think, five times.

2246
02:30:28,880 --> 02:30:34,800
Malone mentioned it once in response to Kirsch and then immediately said something else.

2247
02:30:34,800 --> 02:30:37,120
Malone didn't really want to talk about remdesivir.

2248
02:30:37,120 --> 02:30:42,240
Kirsch was putting it out there, something that wasn't working.

2249
02:30:42,240 --> 02:30:46,520
Now, I don't know Kirsch well.

2250
02:30:46,520 --> 02:30:49,280
I met him a person once.

2251
02:30:49,280 --> 02:30:53,840
He gave me the weakest handshake I've ever received.

2252
02:30:53,840 --> 02:30:59,000
So I don't think he was too excited to see me at the RFK event.

2253
02:30:59,000 --> 02:31:08,120
But nonetheless, I give him credit that he's back in that time he seemed he was without

2254
02:31:08,120 --> 02:31:11,280
being prompted, bringing up the topic of remdesivir.

2255
02:31:11,280 --> 02:31:15,320
Now, he doesn't bring it up anymore, unfortunately.

2256
02:31:15,320 --> 02:31:20,360
And if you're in a Twitter space and Kirsch is there, if someone mentions remdesivir within

2257
02:31:20,360 --> 02:31:25,920
30 seconds after that person hangs up, it will never come up again.

2258
02:31:25,920 --> 02:31:29,600
I don't know why that is.

2259
02:31:29,600 --> 02:31:30,600
It doesn't look good.

2260
02:31:30,600 --> 02:31:31,600
It's a really bad look.

2261
02:31:31,600 --> 02:31:34,880
But back then, Kirsch would bring it up.

2262
02:31:34,880 --> 02:31:36,840
And Malone did not want it brought up.

2263
02:31:36,840 --> 02:31:44,440
Now conversely, I do want to give credit because I made it about halfway through Malone's lies

2264
02:31:44,440 --> 02:31:48,560
my government told me book, which is mostly a collection of essays written by other people,

2265
02:31:48,560 --> 02:31:50,200
by the way.

2266
02:31:50,200 --> 02:31:57,600
But in the part that is written by him or Jill, more likely, as he notes in the opening

2267
02:31:57,600 --> 02:32:05,120
of the book, he does make a remdesivir being run death is near joke.

2268
02:32:05,120 --> 02:32:07,560
And he does explicitly say it's a bad thing.

2269
02:32:07,560 --> 02:32:10,600
So I just want to make sure we don't let that pass us by.

2270
02:32:10,600 --> 02:32:11,680
Okay, that's good.

2271
02:32:11,680 --> 02:32:12,680
That's good.

2272
02:32:12,680 --> 02:32:13,680
When was that book?

2273
02:32:13,680 --> 02:32:14,680
2022?

2274
02:32:14,680 --> 02:32:17,360
I think this was the end of 2022.

2275
02:32:17,360 --> 02:32:21,760
But also, that doesn't then mean he's taken a meaningful stance against it.

2276
02:32:21,760 --> 02:32:25,040
It just means he's mentioned it at least in this case.

2277
02:32:25,040 --> 02:32:30,200
Or that we're far enough along that, you know.

2278
02:32:30,200 --> 02:32:32,440
What impact could it actually have?

2279
02:32:32,440 --> 02:32:33,880
Yeah.

2280
02:32:33,880 --> 02:32:34,880
And you know what?

2281
02:32:34,880 --> 02:32:38,520
You might as well tell the truth.

2282
02:32:38,520 --> 02:32:42,200
It would have been nice if he didn't cut me off in the conference.

2283
02:32:42,200 --> 02:32:49,600
But at the inaugural CHD conference, I stood up at the end to ask a question.

2284
02:32:49,600 --> 02:32:52,560
He and Jill both yelled out questions.

2285
02:32:52,560 --> 02:32:57,520
Try to make sure I didn't ask Bobby a question at the end of that conference, which was about

2286
02:32:57,520 --> 02:33:05,880
remdesivir and a couple of cases of people who were lost to it.

2287
02:33:05,880 --> 02:33:09,160
But I guess what are you going to do?

2288
02:33:09,160 --> 02:33:16,640
You know, look, there's a lot of no-name people like myself.

2289
02:33:16,640 --> 02:33:22,520
I won't say you guys are there, but like myself, who I think throughout history push things,

2290
02:33:22,520 --> 02:33:23,520
right?

2291
02:33:23,520 --> 02:33:27,960
The real narrative that you see in the newspapers for forever is pushed by people who aren't

2292
02:33:27,960 --> 02:33:28,960
there.

2293
02:33:28,960 --> 02:33:30,120
And that's fine.

2294
02:33:30,120 --> 02:33:33,940
So I don't see my job as being famous.

2295
02:33:33,940 --> 02:33:38,280
But I think that, you know, myself and there's probably a lot of other people I don't know

2296
02:33:38,280 --> 02:33:43,800
or never even met and some people I have who you can just see the big narrative, things

2297
02:33:43,800 --> 02:33:49,840
that are in books like that popping up that wouldn't have been there otherwise.

2298
02:33:49,840 --> 02:33:52,200
So you know, that's our role right now.

2299
02:33:52,200 --> 02:33:54,840
At least I feel comfortable with that being my role.

2300
02:33:54,840 --> 02:33:59,040
And that's how I can, you know, justify, you know, keep doing what I'm doing.

2301
02:33:59,040 --> 02:34:03,200
So the fact that he brought it up is good.

2302
02:34:03,200 --> 02:34:12,280
But he, it's still not mentioned in there that programs he was on at the very least

2303
02:34:12,280 --> 02:34:15,440
played a role in making remdesivir available.

2304
02:34:15,440 --> 02:34:21,920
And remdesivir being available and pushed was part of the, led to the perception of

2305
02:34:21,920 --> 02:34:29,000
the lethality of this virus being higher than it was, which led to the emergency use authorization.

2306
02:34:29,000 --> 02:34:32,120
And now we're still having conversations not factoring that in.

2307
02:34:32,120 --> 02:34:34,560
So it's great.

2308
02:34:34,560 --> 02:34:37,000
It's in a 5G warfare book or whatever it is.

2309
02:34:37,000 --> 02:34:38,320
No, this is lies.

2310
02:34:38,320 --> 02:34:46,040
I government told me followed by 5G warfare, but 5G warfare would exactly be someone saying

2311
02:34:46,040 --> 02:34:52,560
that they are here to rescue when in fact they might have played a role in causing it

2312
02:34:52,560 --> 02:34:53,560
in the first place.

2313
02:34:53,560 --> 02:34:54,560
Yeah.

2314
02:34:54,560 --> 02:35:00,040
And even more interesting, I think you just said he didn't mention domain and he, in fact,

2315
02:35:00,040 --> 02:35:04,800
he doesn't, but he does in all but name, which is really interesting.

2316
02:35:04,800 --> 02:35:10,040
So he gives you everything you need, except what you need to actually then go and learn

2317
02:35:10,040 --> 02:35:11,720
more.

2318
02:35:11,720 --> 02:35:13,400
One more thing.

2319
02:35:13,400 --> 02:35:21,120
George Webb earlier mentioned the dose pairing studies, dose pairing methods with hydroxychloroquine

2320
02:35:21,120 --> 02:35:26,880
and remdesivir.

2321
02:35:26,880 --> 02:35:31,520
That's an unusual relatively, I think we know what George Webb meant by that, but it's an

2322
02:35:31,520 --> 02:35:37,240
unusual phrasing and it was used.

2323
02:35:37,240 --> 02:35:44,840
That's a phrase that was used by Robert Malone in a 2011 phone call or phone conference that

2324
02:35:44,840 --> 02:35:50,960
he participated in as someone as a subject matter expert on whether or not children in

2325
02:35:50,960 --> 02:35:57,760
the United States should be used as subjects for anthrax vaccine testing.

2326
02:35:57,760 --> 02:36:03,400
And a variety of people called in there as there was like a panel of like 11 people.

2327
02:36:03,400 --> 02:36:04,400
Right.

2328
02:36:04,400 --> 02:36:07,480
I saw this on a sub stack the other day.

2329
02:36:07,480 --> 02:36:10,400
Malone mentioned that phrase dose pairing.

2330
02:36:10,400 --> 02:36:12,520
He didn't say great idea.

2331
02:36:12,520 --> 02:36:14,400
He didn't say bad idea.

2332
02:36:14,400 --> 02:36:19,000
He sort of suggested, well, the funding is there and we should look into the dose pairing

2333
02:36:19,000 --> 02:36:20,000
part of it.

2334
02:36:20,000 --> 02:36:21,000
We should look at dose pairing.

2335
02:36:21,000 --> 02:36:22,800
Well, what the heck is that?

2336
02:36:22,800 --> 02:36:30,120
I can't find that phrase except for one other usage and that was seven days later, Thomas

2337
02:36:30,120 --> 02:36:36,600
Inglesby mentioned it in a September 11th, 2001 congressional review.

2338
02:36:36,600 --> 02:36:43,120
He said dose pairing and they are again talking about anthrax and Thomas Inglesby I think

2339
02:36:43,120 --> 02:36:46,000
was University of Pittsburgh Medical Center, UPMC.

2340
02:36:46,000 --> 02:36:48,000
He was also in the dark winter stuff.

2341
02:36:48,000 --> 02:36:49,680
He was also talking about anthrax.

2342
02:36:49,680 --> 02:36:55,000
So the only two times I can find that phrase are seven or 14 days apart.

2343
02:36:55,000 --> 02:36:59,480
Malone Inglesby both talking about anthrax vaccine testing.

2344
02:36:59,480 --> 02:37:00,480
OK.

2345
02:37:00,480 --> 02:37:10,080
So am I right in saying that that's sort of like a duality, like a rival pair of therapeutics

2346
02:37:10,080 --> 02:37:19,360
that you might then be able to attach to like, I don't know, ash conformity or propaganda,

2347
02:37:19,360 --> 02:37:20,360
correlations.

2348
02:37:20,360 --> 02:37:27,880
It almost sounds like if my understanding of it is right, it sounds like the way you

2349
02:37:27,880 --> 02:37:36,640
would converse about something if your goal were to fix the results, not test them.

2350
02:37:36,640 --> 02:37:38,480
That phrase seemed to have some value.

2351
02:37:38,480 --> 02:37:44,000
It was being used at that time for reasons I don't understand.

2352
02:37:44,000 --> 02:37:49,280
Sometimes I benefit from not having the molecular biology degree because I'm just looking at

2353
02:37:49,280 --> 02:37:54,560
the words, the phrases, the context, the patent numbers and names and institutions and everything

2354
02:37:54,560 --> 02:37:56,320
else.

2355
02:37:56,320 --> 02:37:58,440
And I'm just looking for the phrase.

2356
02:37:58,440 --> 02:38:02,040
And I actually had to find it spelled differently to find that match.

2357
02:38:02,040 --> 02:38:09,560
If it wasn't for a C-span bug on their website building the transcription, I wouldn't have

2358
02:38:09,560 --> 02:38:10,960
found it at all.

2359
02:38:10,960 --> 02:38:11,960
But it was just odd.

2360
02:38:11,960 --> 02:38:13,480
Those are the only two uses of it.

2361
02:38:13,480 --> 02:38:18,120
They're both about anthrax and they were only, I said seven days, I think it was 14 days

2362
02:38:18,120 --> 02:38:24,360
apart in 2011 reviewing anthrax vaccines.

2363
02:38:24,360 --> 02:38:25,880
Angles B and Malone.

2364
02:38:25,880 --> 02:38:34,720
So much of this stuff has started to congeal, if I can use that word because it's gross,

2365
02:38:34,720 --> 02:38:41,160
it started to congeal in my mind as really an enchantment of language.

2366
02:38:41,160 --> 02:38:48,520
And in this respect, I think they may have indeed tried out a number of concepts like

2367
02:38:48,520 --> 02:38:52,460
this to see if they would be useful enough to apply into the future.

2368
02:38:52,460 --> 02:38:58,160
Another one that may have originated around the same time that I'm still incredibly frustrated

2369
02:38:58,160 --> 02:39:01,240
with is immunobridging.

2370
02:39:01,240 --> 02:39:08,920
This idea that measuring antibody responses with a diagnostic in adults has any relevance

2371
02:39:08,920 --> 02:39:15,800
to children and instead of testing it on one group, we can just approve it in that group

2372
02:39:15,800 --> 02:39:19,880
based on the idea that our diagnostic says they're equivalent.

2373
02:39:19,880 --> 02:39:26,720
And dose pairing could have been one of these concepts that they tried out and people saw

2374
02:39:26,720 --> 02:39:33,080
through it or the regulatory committees at that time didn't permit it.

2375
02:39:33,080 --> 02:39:39,720
I'm trying to think of some scenarios where this has happened more recently.

2376
02:39:39,720 --> 02:39:42,800
But I think essentially a lot of this stuff is tested like that.

2377
02:39:42,800 --> 02:39:47,560
It's tested to see how people respond to it.

2378
02:39:47,560 --> 02:39:53,500
And the kind of attack that we are under, if you want to keep, we've got to keep lambasting

2379
02:39:53,500 --> 02:39:58,800
the expert on this, Robert Malone, the fifth generation warfare that we're being subjected

2380
02:39:58,800 --> 02:40:03,320
to is largely language based.

2381
02:40:03,320 --> 02:40:10,240
And I think this is the reason why they want you to believe that JATGDP understands as

2382
02:40:10,240 --> 02:40:18,280
opposed to breaking the illusion that language is some kind of higher form of intelligence

2383
02:40:18,280 --> 02:40:25,320
rather than an abstraction of the world as I was educated by my friend a couple days

2384
02:40:25,320 --> 02:40:27,500
ago.

2385
02:40:27,500 --> 02:40:32,140
It's an abstraction of the world that relies on patterns.

2386
02:40:32,140 --> 02:40:37,600
And so if an AI can figure out how to win at go, it doesn't mean that AI understands

2387
02:40:37,600 --> 02:40:39,400
the concept of go.

2388
02:40:39,400 --> 02:40:44,580
It understands the pattern that results in more winning than losing.

2389
02:40:44,580 --> 02:40:50,560
And once you discover a kink in that armor, now it can be beaten again.

2390
02:40:50,560 --> 02:40:58,080
And I think that we're at the stage where people are trying to suggest that promises

2391
02:40:58,080 --> 02:41:02,640
that were made 10 and 20 years ago are about to be fulfilled, but they're actually nowhere

2392
02:41:02,640 --> 02:41:08,080
closer to being fulfilled than they were made than when they were made 20 years ago.

2393
02:41:08,080 --> 02:41:15,400
And AI is one of these tools that I think can be used for almost unlimited theater.

2394
02:41:15,400 --> 02:41:19,820
And I made this joke in our private chat, but I'm not really making a joke when I say

2395
02:41:19,820 --> 02:41:30,520
that these AI image programs could just as easily be a room full of highly trained Photoshop

2396
02:41:30,520 --> 02:41:36,480
enthusiasts that are being paid to create the illusion of an AI that can spit out four

2397
02:41:36,480 --> 02:41:38,520
images relatively quickly.

2398
02:41:38,520 --> 02:41:44,080
And again, I understand that it's possible that AI can do some of these things, but I

2399
02:41:44,080 --> 02:41:49,480
also want to stress that it's possible to create the illusion that AI is doing something

2400
02:41:49,480 --> 02:41:50,740
that it's not.

2401
02:41:50,740 --> 02:41:57,960
And I think that is a far, far greater potential than the potential that AI represents to genuinely

2402
02:41:57,960 --> 02:42:05,880
solve any of these greater problems.

2403
02:42:05,880 --> 02:42:07,960
Mark your muted.

2404
02:42:07,960 --> 02:42:15,640
The misuse of computers and the misrepresentation, the mischaracterization of compute capabilities

2405
02:42:15,640 --> 02:42:18,000
is a big part of the COVID story.

2406
02:42:18,000 --> 02:42:25,120
It's bigger than I never, I didn't think it was any part of it at all when I started.

2407
02:42:25,120 --> 02:42:29,560
But getting people to believe that the computer will come up with the right answer.

2408
02:42:29,560 --> 02:42:39,560
In reality, it's just a bunch of scripts written by other people to analyze spreadsheets.

2409
02:42:39,560 --> 02:42:41,160
That is part of it.

2410
02:42:41,160 --> 02:42:43,920
Think of how much guidance was taken.

2411
02:42:43,920 --> 02:42:48,520
It was religion that these computer platforms would spit out right answers.

2412
02:42:48,520 --> 02:42:50,920
I worked in the computing industry for 22 years.

2413
02:42:50,920 --> 02:42:52,260
I loved it.

2414
02:42:52,260 --> 02:42:55,980
These are awesome machines, but they're machines.

2415
02:42:55,980 --> 02:42:56,980
That's what they are.

2416
02:42:56,980 --> 02:42:59,400
And they continue to have more capabilities.

2417
02:42:59,400 --> 02:43:09,900
But we allowed the output of a computer program that we can't see the source code to, nor

2418
02:43:09,900 --> 02:43:16,240
can we even know how it was tested to guide our standard of care.

2419
02:43:16,240 --> 02:43:21,620
How do we know that this domain platform, if it exists, whether it was just repurposed,

2420
02:43:21,620 --> 02:43:24,920
how do you know it gave the right answer?

2421
02:43:24,920 --> 02:43:30,840
What if it said cranberry juice, battery acid, cocktails?

2422
02:43:30,840 --> 02:43:34,040
How do you know it was the right answer?

2423
02:43:34,040 --> 02:43:35,940
You don't know.

2424
02:43:35,940 --> 02:43:39,620
And because it was defined as something that gives the right answer to something that never

2425
02:43:39,620 --> 02:43:46,920
existed before, that means you actually need to have had a novel disease before, and you

2426
02:43:46,920 --> 02:43:53,120
need to show that the thing gave you the right answer for that disease.

2427
02:43:53,120 --> 02:43:54,380
None of this was done.

2428
02:43:54,380 --> 02:43:57,200
It was just taken, and they ran with it.

2429
02:43:57,200 --> 02:43:59,360
And they encouraged us to ignore everything else.

2430
02:43:59,360 --> 02:44:02,280
They told people, don't trust your instincts anymore.

2431
02:44:02,280 --> 02:44:04,680
Medicine has completely changed.

2432
02:44:04,680 --> 02:44:06,640
Don't treat symptoms anymore.

2433
02:44:06,640 --> 02:44:12,680
You have to, it's all prescriptive based upon computers and some testing that we're not

2434
02:44:12,680 --> 02:44:14,760
going to give you the results of.

2435
02:44:14,760 --> 02:44:19,640
That is nasty, nasty stuff.

2436
02:44:19,640 --> 02:44:26,160
And it's unfortunate that there's not enough people within the information technology industry

2437
02:44:26,160 --> 02:44:32,500
that are willing to have the things between their legs to stand up and call this out.

2438
02:44:32,500 --> 02:44:35,720
They are such suckers for mainstream narrative.

2439
02:44:35,720 --> 02:44:37,880
I don't know what it is.

2440
02:44:37,880 --> 02:44:43,320
It is one of the most embarrassing and surprising parts about the modern world of computer science.

2441
02:44:43,320 --> 02:44:49,160
It went, I'm sorry, I'm hijacking program a little bit, but there was a nasty thing

2442
02:44:49,160 --> 02:44:54,360
that happened when they took computer engineers and they moved it into the world of computer

2443
02:44:54,360 --> 02:44:59,480
science at many academic institutions 25 or so years ago.

2444
02:44:59,480 --> 02:45:04,080
I am one of the last, I am age 49, I'm turning 50 this year.

2445
02:45:04,080 --> 02:45:09,360
That is right around the, I am one of the last breed of computer engineering graduates,

2446
02:45:09,360 --> 02:45:10,360
university.

2447
02:45:10,360 --> 02:45:11,360
You just called it.

2448
02:45:11,360 --> 02:45:12,360
They took it out of engineering.

2449
02:45:12,360 --> 02:45:13,360
It's computer science.

2450
02:45:13,360 --> 02:45:14,360
It's scientists.

2451
02:45:14,360 --> 02:45:15,360
They made it scientists.

2452
02:45:15,360 --> 02:45:16,360
Computer scientists.

2453
02:45:16,360 --> 02:45:24,000
I learned from mainframe guys and those guys, they were, those were serious engineers.

2454
02:45:24,000 --> 02:45:26,400
And this is why it's become the matrix.

2455
02:45:26,400 --> 02:45:33,000
The matrix is computer scientists taken to the corporate governance level.

2456
02:45:33,000 --> 02:45:37,320
And that's, that, that may be the correct description of world war E.

2457
02:45:37,320 --> 02:45:43,280
Sorry, it was, it was an unrelated, but it was related.

2458
02:45:43,280 --> 02:45:45,560
You know, so it was the right hand.

2459
02:45:45,560 --> 02:45:49,400
Call it computer Scientology though, because then it should be.

2460
02:45:49,400 --> 02:45:50,400
Yeah.

2461
02:45:50,400 --> 02:45:52,520
They gave all of these ordered analysis.

2462
02:45:52,520 --> 02:45:55,280
You don't just throw the algorithm at the cloud.

2463
02:45:55,280 --> 02:45:57,760
I'm like, okay, we're going to have to wrap thing up.

2464
02:45:57,760 --> 02:46:02,600
But anyways, if, if for no other reason, because I slept exactly zero hours last night.

2465
02:46:02,600 --> 02:46:03,600
Okay.

2466
02:46:03,600 --> 02:46:09,280
But since we brought up a computer Scientology next week, if either of you guys want to join

2467
02:46:09,280 --> 02:46:14,880
me, I mean, if, if, if we don't have another Liam, we don't have a guest scheduled yet,

2468
02:46:14,880 --> 02:46:16,000
do we?

2469
02:46:16,000 --> 02:46:17,680
Because I, I'd have to check.

2470
02:46:17,680 --> 02:46:23,080
I don't, I want to hit the Scientology thread following up this because I just watched Robert

2471
02:46:23,080 --> 02:46:32,040
Malone get interviewed by a Scientologist who owns a castle in England and is part of the

2472
02:46:32,040 --> 02:46:34,680
Ian Davos crowd.

2473
02:46:34,680 --> 02:46:39,720
And it's a very interesting set of relationships.

2474
02:46:39,720 --> 02:46:52,160
This guy's, I hear he's conservator of the crown jewels and he's a giant QAnon.

2475
02:46:52,160 --> 02:46:58,320
And it's weird where Scientology and QAnon are all over the medical freedom movement.

2476
02:46:58,320 --> 02:47:00,880
And I have some theories as to why.

2477
02:47:00,880 --> 02:47:06,880
And you know, it's, it's, it's a wacky topic, maybe especially when you insert QAnon in

2478
02:47:06,880 --> 02:47:07,880
there.

2479
02:47:07,880 --> 02:47:09,520
That's a, that's a wacky topic.

2480
02:47:09,520 --> 02:47:14,760
And we should open the stream next week with the audio of Tom Cruise yelling at his, at

2481
02:47:14,760 --> 02:47:20,040
his, at his set where he's like, you take your mask off and you're up there.

2482
02:47:20,040 --> 02:47:21,040
Of course we will.

2483
02:47:21,040 --> 02:47:23,600
Of course we will.

2484
02:47:23,600 --> 02:47:25,240
That is how it will begin.

2485
02:47:25,240 --> 02:47:27,880
So either or both of you guys are invited.

2486
02:47:27,880 --> 02:47:29,880
But let's go ahead and wrap this.

2487
02:47:29,880 --> 02:47:32,960
Wrap this one up with a big bow.

2488
02:47:32,960 --> 02:47:33,960
Let's do it.

2489
02:47:33,960 --> 02:47:37,480
This has been just nuts.

2490
02:47:37,480 --> 02:47:43,200
I have the links for where everybody can go find you guys and I highly recommend they

2491
02:47:43,200 --> 02:47:44,200
do.

2492
02:47:44,200 --> 02:47:49,320
JJ, I know you've had a little bit of a hiatus.

2493
02:47:49,320 --> 02:47:53,400
Are you going to be coming back with live streams in the near future?

2494
02:47:53,400 --> 02:47:58,200
In the near future, as in the next couple days, I'm going to pull the trigger.

2495
02:47:58,200 --> 02:48:02,200
I just, it's, I am with my time off.

2496
02:48:02,200 --> 02:48:05,920
I've produced a number of different possible starting points.

2497
02:48:05,920 --> 02:48:08,280
And so I have to decide which one I'm going to pull the trigger on.

2498
02:48:08,280 --> 02:48:13,320
I have to apologize to all my supporters and viewers for having been gone, but I got sick

2499
02:48:13,320 --> 02:48:14,960
after the Boston thing.

2500
02:48:14,960 --> 02:48:19,360
And then, I don't know, it took me a while to recover.

2501
02:48:19,360 --> 02:48:20,360
That's all I can really say.

2502
02:48:20,360 --> 02:48:25,680
I have been recovering, but it's also one of those things where I have to confess that

2503
02:48:25,680 --> 02:48:31,080
you get momentum and then once you lose that momentum, there's a little inertia there.

2504
02:48:31,080 --> 02:48:35,480
So anyway, thanks for that.

2505
02:48:35,480 --> 02:48:36,480
Yeah.

2506
02:48:36,480 --> 02:48:44,680
And I think your supporters, well, speaking as one of them, I think there's a deep understanding

2507
02:48:44,680 --> 02:48:49,360
of the amount of work you've put in over the last few years and how totally reasonable

2508
02:48:49,360 --> 02:48:53,680
it is, whether for illness or anything else, for you to take a couple of weeks to-

2509
02:48:53,680 --> 02:48:55,280
You have to take breaks.

2510
02:48:55,280 --> 02:48:56,280
Yeah.

2511
02:48:56,280 --> 02:49:01,280
So I know, and I've seen, I'm not sure if you've seen these discussions as well in comment

2512
02:49:01,280 --> 02:49:05,320
sections, but I know people have been very supportive of that idea, even in the absence

2513
02:49:05,320 --> 02:49:06,600
of specific updates.

2514
02:49:06,600 --> 02:49:10,640
So just so you know, a lot of people still have your back.

2515
02:49:10,640 --> 02:49:14,600
Thank you very much, Liam, and everybody for that matter.

2516
02:49:14,600 --> 02:49:18,840
I know Matt has had my back for a while, so I got to give a big shout out to Matt and

2517
02:49:18,840 --> 02:49:22,920
a big shout out to Mark because they're two of the most important people in my corner

2518
02:49:22,920 --> 02:49:23,920
right now.

2519
02:49:23,920 --> 02:49:29,040
Now, speaking of Mark, where can people find you, my friend?

2520
02:49:29,040 --> 02:49:33,760
Website, housatonic.live, H-O-U-S-A-T-O-N-I-C.

2521
02:49:33,760 --> 02:49:36,280
I have three channels on YouTube.

2522
02:49:36,280 --> 02:49:40,680
I just call them Live One, Two, and Three, and I back everything up on YouTube, excuse

2523
02:49:40,680 --> 02:49:43,320
me, onto Bitch You, Odyssey, and Rumble.

2524
02:49:43,320 --> 02:49:46,840
I'm currently on my backup channel, Housatonic Live Two.

2525
02:49:46,840 --> 02:49:47,840
Is what it is.

2526
02:49:47,840 --> 02:49:51,080
I'm always so close to getting kicked off the platform.

2527
02:49:51,080 --> 02:49:58,000
I'm not even sure if it's worth it anymore, but anyways, and I have a large online archive

2528
02:49:58,000 --> 02:50:03,160
as well, which frequently starts to pop up in the Google search results right now.

2529
02:50:03,160 --> 02:50:04,160
That's got to feel good.

2530
02:50:04,160 --> 02:50:09,640
Well, yeah, it does.

2531
02:50:09,640 --> 02:50:13,200
Plug yourself too, would you, Liam, because you never really do that.

2532
02:50:13,200 --> 02:50:21,040
And although I think you do the facilitator role very well, but I think you should also

2533
02:50:21,040 --> 02:50:26,880
at some point realize that your deputy badge is worth plugging as well.

2534
02:50:26,880 --> 02:50:32,000
Liam, I bet Liam's Friday show is going to be great for people who thought this conversation

2535
02:50:32,000 --> 02:50:35,000
was important, and Liam's shows have been awesome lately.

2536
02:50:35,000 --> 02:50:39,280
But I think it's going to be a good one.

2537
02:50:39,280 --> 02:50:42,720
Look, Badge of Honor, I think, and I'll take Matthew.

2538
02:50:42,720 --> 02:50:49,240
He's decided that it was my show on the Pfizer, Jordan, Tristan, Walker thing that got us

2539
02:50:49,240 --> 02:50:51,240
kicked off YouTube, speaking to YouTube.

2540
02:50:51,240 --> 02:50:55,560
I meant to talk about that today, but you know what?

2541
02:50:55,560 --> 02:50:57,320
We'll let that one go for now.

2542
02:50:57,320 --> 02:51:01,800
Well, and thank you though, JJ, because this Friday I am going to be talking about David

2543
02:51:01,800 --> 02:51:02,800
Bullware more.

2544
02:51:02,800 --> 02:51:04,000
I'm doing a deep dive.

2545
02:51:04,000 --> 02:51:07,480
I've learned some very interesting things that I haven't heard other people talk about.

2546
02:51:07,480 --> 02:51:12,400
So on Friday, Rounding the News, come hang out there.

2547
02:51:12,400 --> 02:51:17,400
And speaking to Google as well, roundingtheearth.com, I've been working on getting our website further

2548
02:51:17,400 --> 02:51:23,120
up in the Google search results as well and posting our shows there as we do them.

2549
02:51:23,120 --> 02:51:29,320
And look, if you do want to hear more from me specifically, I am a musician.

2550
02:51:29,320 --> 02:51:33,720
And if you want to hear what that means, you can go to liamsturgis.com.

2551
02:51:33,720 --> 02:51:36,600
I have a fun album I put out almost a year ago.

2552
02:51:36,600 --> 02:51:39,160
So thank you for the opportunity to say that.

2553
02:51:39,160 --> 02:51:45,600
And for Rounding the Earth, roundingtheearth.locals.com is the best place to go to support the show.

2554
02:51:45,600 --> 02:51:48,000
And how's that for plugs?

2555
02:51:48,000 --> 02:51:49,000
Perfect.

2556
02:51:49,000 --> 02:51:50,000
Absolutely perfect.

2557
02:51:50,000 --> 02:51:53,960
Matthew has to go to the bathroom because we talked too long.

2558
02:51:53,960 --> 02:51:54,960
Yes.

2559
02:51:54,960 --> 02:51:55,960
Thanks very much.

2560
02:51:55,960 --> 02:51:57,560
I'll see you next week, I guess.

2561
02:51:57,560 --> 02:51:58,560
Sounds great, gentlemen.

2562
02:51:58,560 --> 02:51:59,560
Thank you again.

2563
02:51:59,560 --> 02:52:00,560
And we'll see you next week.

2564
02:52:00,560 --> 02:52:02,640
Thank you to everybody for watching.

2565
02:52:02,640 --> 02:52:08,560
Look, we've had just looking at Rumble Alone, we have 265 people watching right now, but

2566
02:52:08,560 --> 02:52:14,400
we have 6,000 people who have tuned in at various points on Rumble Alone throughout

2567
02:52:14,400 --> 02:52:15,580
this stream.

2568
02:52:15,580 --> 02:52:19,080
This has been completely unprecedented.

2569
02:52:19,080 --> 02:52:22,660
And also, just we don't have George Webb here at the end.

2570
02:52:22,660 --> 02:52:24,320
Really appreciate him coming on as well.

2571
02:52:24,320 --> 02:52:27,200
And you can find his substack in the description.

2572
02:52:27,200 --> 02:52:30,800
And yeah, so thank you to everybody who has been having a tremendously robust discussion

2573
02:52:30,800 --> 02:52:31,800
on Rumble.

2574
02:52:31,800 --> 02:52:37,240
Thank you to even more folks over on Locals who have been for longer than I can even load

2575
02:52:37,240 --> 02:52:39,700
contributing to the discussion.

2576
02:52:39,700 --> 02:52:42,520
And over on Rockfin and Odyssey as well.

2577
02:52:42,520 --> 02:52:45,160
And potentially even Facebook and Cloud Hub.

2578
02:52:45,160 --> 02:52:49,820
Even those of you who somehow found my YouTube channel where I'm secretly streaming.

2579
02:52:49,820 --> 02:52:51,440
So anyway, we'll leave that there.

2580
02:52:51,440 --> 02:53:16,040
Thank you all so much and we'll see you again shortly.