WEBVTT

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So I want you to picture a scenario. Just think

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about a typical day at work. OK. Or maybe you're

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just at home troubleshooting a weird noise in

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your car. Yeah. You're staring at the engine,

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trying to figure out the problem, and suddenly

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you find an explanation. Right. It fits perfectly.

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It makes complete sense. It explains the noise.

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Or if you're at work, it explains the drop in

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sales. Whatever it is, what is the very next

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thing you do? Well, usually. You stop looking.

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You stop looking. You totally stop. You pat yourself

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on the back, you close the ticket, and you just

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move on. Yeah, it's that moment where you stop

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being an investigator and you kind of start being

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a defense attorney for your own idea. Exactly.

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And that is exactly what we are unpacking in

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today's Deep Dive. We're looking at a source

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that argues that specific moment, that feeling

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of, aha, I found it, is actually a massive cognitive

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trap. It really is. And the source we have for

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this is fascinating. It's a bit of a... A source

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within a source, actually. Yeah, it's layered.

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We're looking at a blog post by Gary Ackerman,

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published in December 2025 on hackscience .education.

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It's titled On Multiple Working Hypotheses. But

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the backstory here is what's really wild. Ackerman

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shares this personal story about a paper he read

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as an undergrad back in 1985. Right, and it completely

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changed his life. It did, but then he lost his

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copy of it. He spent 40 years looking for this

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specific paper. 40 years? Yeah, and he finally

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tracked it down recently using AI to search for

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the concepts. And the kicker, the paper wasn't

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from 1985 at all. No, it was from 1890. 1890,

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written by a geologist named T .C. Chamberlain.

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I just love the archaeology of this idea. We

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were dusting off this 135 year old document to

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answer a really modern question. Which is basically

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why the standard scientific method and, you know,

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the one we all learned in fifth grade might actually

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be terrible for our critical thinking. It's a

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really bold claim. I mean we're usually taught

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that forming a hypothesis and then testing it

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is the absolute peak of intellectual rigor. Right,

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but Chamberlain argues it's actually a step down

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from the real gold standard and Ackerman does

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a great job breaking down Chamberlain's core

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framework. Yeah, let's get into that framework

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because Chamberlain identified three distinct

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types of learning or three ways we try to discover

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new truths. Right. And the first one he points

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out is what he calls the ruling theory. Yeah,

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the ruling theory. This is essentially the bottom

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of the ladder. It's dogma. Just strict imitation.

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Exactly. You accept an explanation simply because

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an authority figure, a teacher, a boss, some

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ruling voice told you it's the truth. You aren't

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investigating anything. You're just complying.

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It sounds a lot like the because I said so style

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of management. It totally is. And the danger

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is that you start interpreting any new facts

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specifically to make them fit into that old theory

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you were handed. Which is efficient, I guess.

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but it's completely stagnant. You never learn

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anything new. Right. So eventually, thinkers

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realized this wasn't great, and they moved to

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the second tier, which Chamberlain calls the

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working hypothesis. And this is the one most

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of us are familiar with. You see a problem, you

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come up with a likely explanation, your one working

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hypothesis, and then you test it to see if it's

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true. That's the one. But this is where I got

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a bit stuck when I was first reading the source

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material, because that sounds, well, correct.

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That's how science works, right? You have an

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idea and you test it. It seems logical. So why

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does Chamberlain and Ackerman, by extension,

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think this method is actually dangerous? It's

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all about human psychology, really. Chamberlain

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had this incredible psychological insight way

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ahead of his time. He argues that the flaw isn't

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in the testing, it's in when you stop thinking.

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What do you mean? Well, as soon as you formulate

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that single working hypothesis to answer the

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question, how did this happen, your mindset shifts.

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You stop being an impartial observer. Because

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now I have like... skin in the game. Exactly.

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You're invested. Chamberlain uses this brilliant,

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honestly kind of funny phrase for it. He says

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the moment you create a single theory, it becomes

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your intellectual offspring. Intellectual offspring.

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Oh, man. So we basically turned into helicopter

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parents for our own ideas. We do. A sort of parental

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affection kicks in. And because of that affection,

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even if you are actively trying to remain objective,

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you unconsciously start steering the investigation.

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Make your kid look good. Right. You start cherry

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picking data that supports your idea. Yeah. And

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maybe even worse, you naturally start to ignore

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or downplay evidence that supports any other

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theory. I can completely see that happening.

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It's so relatable. If I go to my boss and say,

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hey, I think the problem with our sales is the

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new marketing budget. Now I am highly motivated

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to find evidence that proves it's the marketing

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budget. Yes. You press the facts to fit your

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theory, just like a parent making excuses for

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their child's bad behavior at the playground.

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Like, oh, he didn't mean to push that kid. He's

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just expressing his boundary. Exactly. The data

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isn't an outlier. It's just a special case. That

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is so true. So the working hypothesis doesn't

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just guide your research. It actively biases

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you as the researcher. You're no longer testing

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to find the truth. You're testing to prove yourself

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right. It's a subtle distinction, but it's massive

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when it comes to critical thinking. OK, so if

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having one idea is a trap, what's the alternative?

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Do we just go in with zero ideas? No, you go

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in with the third tier, the method of multiple

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working hypotheses. Multiple working hypotheses.

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OK, so that just sounds like having backup plans.

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It's a bit more profound than that. It's a fundamental

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shift in your starting line. Instead of coming

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up with one explanation and testing it, you force

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yourself to explain and test every rational explanation

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you can conjure up all simultaneously. Wow. You

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don't just have one child. You bring a whole

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family of intellectual offspring into the world

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at the exact same time. I see. So if I have five

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hypotheses, I can't really play favorites. Right.

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If you have five kids, you have to be fair. It

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neutralizes your bias because your affection

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is divided. Let me try an analogy here to see

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if I'm tracking the difference between the single

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working hypothesis and the multiple method. It

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feels a bit like the difference between betting

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on a horse and just watching the race. Oh, I

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like that. Go on. If I'm using the single working

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hypothesis, I'm basically putting all my money

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on one horse. Let's call him Glacier. OK, Glacier.

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I'm watching the race, but I'm only watching

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Glacier. If he stumbles, I make excuses for the

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track conditions. If he speeds up, I'm cheering.

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But I don't really care what the other horses

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are doing unless they get in his way. My observation

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is entirely narrowed to that one lane. That's

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a perfect way to put it. You're blind to the

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rest of the field. Right. But with multiple working

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hypotheses, I haven't placed a bet or I guess

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I've placed an equal bet on every single horse

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in the race. So I'm just watching the whole field

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to see who is actually the fastest. And that

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allows you to see the race as it truly is. rather

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than how you want it to be. You're a judge, not

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a gambler. It's a powerful reframing. And it's

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not even about being smarter than everyone else.

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It's just a hack to trick your own ego. Exactly.

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And we have to remember the context here. Chamberlain

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wasn't just sitting in a room thinking about

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abstract philosophy or horse racing. He was a

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working geologist. Right, in 1890. Yes. So he

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was dealing with massive, incredibly complex

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natural systems. Specifically, he uses the example

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of the formation of the Great Lakes. The source

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material mentions this. I imagine in the late

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1800s, there were some pretty heated debates

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about how those legs got there. Oh, incredibly

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heated. One camp of geologists would say, glaciers

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carve them out. Another camp would say, no, it

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was ancient river erosion. And if you're using

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the single working hypothesis, you pick your

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side, you pick glaciers, and you go out looking

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for glacial scratches on the rocks. And guess

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what? You will absolutely find them. Because

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they're there. And then you declare victory.

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See? I told you it was the glaciers. But you

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completely missed the fact that the river erosion

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is also there. Chamberlain points out that in

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the real world, especially with complex phenomena,

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there is almost never just one simple cause.

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Right. The Great Lakes were formed by glaciers

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and pre -existing erosion and tectonic shifts,

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all of them interacting together over time. So

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having a single hypothesis forces this weird

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true false binary onto a world that is actually

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like all of the above. Exactly. That is the danger

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he's worrying us about. If you are looking for

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the cause, singular, you will definitely find

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a cause. But you'll miss the whole system. Which

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means your solution is going to be flawed. Right.

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The method of multiple working hypotheses forces

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you to look at the interaction of causes. Chamberlain

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said this leads to better and truer observations

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because you simply aren't forcing the data to

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fit a neat little narrative. That makes so much

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sense. And this transitions perfectly into the

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second half of our deep dive today. Because Gary

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Ackerman, the guy who wrote the 2025 blog post,

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he's not a geologist. No, his field is education.

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Right. And he argues that a modern classroom

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is just as complex, if not more complex, than

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the geology of the Great Lakes. Oh, without a

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doubt. Think about it. 30 distinct personalities

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in a room, different backgrounds, different learning

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styles, different moods on any given day, all

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interacting in real time. It's an ecosystem.

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It is. And Ackerman points out that the intellectual

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offspring trap hits the education sector incredibly

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hard. How does that play out in the school setting?

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Well, look at the debates teachers and administrators

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constantly have. They're always searching for

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the best method. Oh, yeah. Like, is it better

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to use tablets or traditional textbooks? Exactly.

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Is it better to lecture, or should everything

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be project -based group work? Is phonics the

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best way to teach reading, or is it whole language?

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You're constantly looking for the ruling theory,

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that one silver bullet that's going to fix everyone's

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test scores. And Ackerman says that is fundamentally

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the wrong question to ask. If you apply Chamberlain's

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multiple working hypotheses to teaching, you

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stop asking, what is the best method? And what

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do you ask instead? You start asking, what are

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the special values of these different methods?

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Oh, wow. What are the special values? That is

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a huge shift in perspective. It changes a teacher's

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entire toolkit. Instead of trying to prove that

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tablets are the future of learning, you hold

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multiple hypotheses at once. You acknowledge

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that tablets help with interactive engagement,

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but textbooks help with sustained focus, and

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lectures are great for providing structure. You

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keep all those options open and active. Right.

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So when a student is struggling, you aren't stuck

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trying to force your pet theory to work. You're

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not sitting there saying, well, my tablet method

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is the best, so if this kid isn't learning, the

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kid must be the problem. Exactly, you have a

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full array of reasons why a lesson might work

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or might fail. Ackerman writes that when educators

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understand this full array, they are so much

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more likely to find a solution that actually

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helps the student in front of them. It prevents

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you from becoming a hammer that only sees nails.

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Yes. It stops you from being rigid. And honestly,

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this applies to way more than just teaching or

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geology. Oh, absolutely. Troubleshooting code,

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resolving a fight with your spouse, figuring

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out business strategy. If your business is failing,

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you shouldn't just say, well, the market is down.

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Right. You have to ask, is the market down? Or

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is my product outdated? Or is my marketing just

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boring? You have to test all of them. I love

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this concept. I really do. But I have to play

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devil's advocate for a second here. Go for it.

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This sounds completely exhausting. It is. It

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really is. I mean, just cognitively. Human brains

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crave certainty. We want to close the open loops.

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If I'm in a management meeting and I propose

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five conflicting reasons why we're losing money

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and I say we need to investigate all of them

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equally, people are going to look at me like

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I'm crazy or at least indecisive. You're not

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wrong. And Chamberlain actually knew this would

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be a hard sell. He was very upfront about the

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challenges of this method. And he highlighted

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two big downsides. Okay, what's the first one?

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Communication. It is incredibly difficult to

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express multiple complex, conflicting ideas at

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the same time to a general audience. Because

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people just want the bottom line. Yes. They want

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clarity. They don't want a messy list of possibilities.

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They want a hero and a villain. They want the

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one true cause. It's complicated. is rarely a

00:12:15.200 --> 00:12:18.100
winning campaign slogan. Exactly. And the second

00:12:18.100 --> 00:12:20.299
challenge he noted is what he called the problem

00:12:20.299 --> 00:12:22.659
of the uninitiated. Meaning people who are new

00:12:22.659 --> 00:12:25.700
to a topic. Right. He worried that young students

00:12:25.700 --> 00:12:27.779
or adults who are completely unfamiliar with

00:12:27.779 --> 00:12:30.340
a specific field would just get overwhelmed by

00:12:30.340 --> 00:12:32.559
the cognitive load. That makes sense. If I don't

00:12:32.559 --> 00:12:34.759
know the basics of geology and you start telling

00:12:34.759 --> 00:12:39.460
me it's a complex mix of glaciers, rivers, tectonics,

00:12:39.539 --> 00:12:41.639
and maybe a meteor strike, I'm just going to

00:12:41.639 --> 00:12:44.200
check out. Right. Chamberlain thought that maybe

00:12:44.200 --> 00:12:46.639
people need to master the basics of the simple

00:12:46.639 --> 00:12:49.299
ruling theories before they can attempt this

00:12:49.299 --> 00:12:52.539
kind of high wire act of holding multiple hypotheses.

00:12:53.320 --> 00:12:55.360
So there's a real risk of analysis paralysis.

00:12:55.899 --> 00:12:58.460
If you keep every option open all the time, maybe

00:12:58.460 --> 00:13:00.879
you never actually learn or decide anything.

00:13:01.159 --> 00:13:04.480
That was his fear in 1890. But interestingly,

00:13:04.919 --> 00:13:07.279
Ackerman brings in a counterpoint in his blog

00:13:07.279 --> 00:13:09.620
post from a more modern scientific heavyweight.

00:13:09.980 --> 00:13:14.360
Steven J. Gould. Ah, the evolutionary biologist.

00:13:14.460 --> 00:13:16.620
I remember reading some of his essays years ago.

00:13:16.960 --> 00:13:19.720
Yes. Gould wrote extensively for Natural History

00:13:19.720 --> 00:13:21.840
Magazine, and Ackerman points out that Gould

00:13:21.840 --> 00:13:24.600
fundamentally believed we underestimate the public.

00:13:24.759 --> 00:13:27.820
Really? Yeah. Gould believed that lay readers

00:13:27.820 --> 00:13:30.440
are perfectly capable of understanding highly

00:13:30.440 --> 00:13:33.220
sophisticated, nuanced topics. So Gould's basically

00:13:33.220 --> 00:13:35.289
saying, don't dumb it down. Essentially, yes.

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And Ackerman seems to side with Gould on this.

00:13:38.149 --> 00:13:40.289
He suggests that the reason people struggle with

00:13:40.289 --> 00:13:42.389
complexity today isn't because their brains can't

00:13:42.389 --> 00:13:44.190
handle it, it's because we don't teach them how

00:13:44.190 --> 00:13:47.500
to handle it. We feed people. ruling theories

00:13:47.500 --> 00:13:50.720
and single hypotheses for so long that their

00:13:50.720 --> 00:13:53.259
complexity muscles just completely atrophy. That's

00:13:53.259 --> 00:13:55.139
a great way to put it. That is quite a condemning

00:13:55.139 --> 00:13:58.000
thought, actually. We train people from childhood

00:13:58.000 --> 00:14:00.580
to look for the one simple answer, and then as

00:14:00.580 --> 00:14:03.000
adults, we wonder why they can't handle nuance

00:14:03.000 --> 00:14:05.480
in politics or science. And in the age of AI

00:14:05.480 --> 00:14:08.500
and endless information overload, that inability

00:14:08.500 --> 00:14:12.059
to handle nuance is genuinely dangerous. If you

00:14:12.059 --> 00:14:14.059
stop at the first answer that feels good your

00:14:14.059 --> 00:14:16.789
first intellectual offspring, you are very likely

00:14:16.789 --> 00:14:19.230
stopping at a half -truth. It's so interesting

00:14:19.230 --> 00:14:21.610
to think about Ackerman's own journey with this.

00:14:22.129 --> 00:14:24.789
He spends 40 years looking for this one paper

00:14:24.789 --> 00:14:26.870
because he remembered it being life -changing.

00:14:27.190 --> 00:14:29.389
When he finally unearths it, does he feel it

00:14:29.389 --> 00:14:31.909
still holds up today? He absolutely does. In

00:14:31.909 --> 00:14:33.970
fact, he argues it is more relevant now than

00:14:33.970 --> 00:14:36.529
it was in 1890. And there is a real poetry in

00:14:36.529 --> 00:14:38.990
the fact that he used AI to find it. How so?

00:14:39.110 --> 00:14:41.730
Well, think about what AI is. It's the ultimate

00:14:41.730 --> 00:14:44.070
answer engine. You type in a prompt, and it gives

00:14:44.070 --> 00:14:46.570
you an answer. Usually just one definitive answer.

00:14:47.129 --> 00:14:49.950
Exactly. And if we aren't careful, we just treat

00:14:49.950 --> 00:14:54.070
that AI output as our new ruling theory. We accept

00:14:54.070 --> 00:14:56.269
it because the machine authority gave it to us.

00:14:56.909 --> 00:15:00.590
Ackerman is using this 135 -year -old paper To

00:15:00.590 --> 00:15:02.970
remind us that we have to be the ones generating

00:15:02.970 --> 00:15:04.909
the multiple hypotheses Otherwise, we're just

00:15:04.909 --> 00:15:07.049
outsourcing our critical thinking to an algorithm

00:15:07.049 --> 00:15:09.590
an algorithm that might just be Hallucinating

00:15:09.590 --> 00:15:12.590
its own single hypothesis anyway Wow, so bring

00:15:12.590 --> 00:15:15.049
this all back together. We have a geology paper

00:15:15.049 --> 00:15:18.169
from the 1890s teaching us a vital lesson about

00:15:18.169 --> 00:15:21.350
modern education AI and just daily critical thinking

00:15:21.350 --> 00:15:24.870
and the core lesson really seems to be about

00:15:24.870 --> 00:15:27.730
humility. Scientific humility. It's having the

00:15:27.730 --> 00:15:29.929
bravery to say, I have a really great idea, but

00:15:29.929 --> 00:15:31.870
I'm going to deliberately look for reasons why

00:15:31.870 --> 00:15:33.990
I might be wrong, and I'm going to actively look

00:15:33.990 --> 00:15:36.090
for three other explanations at the exact same

00:15:36.090 --> 00:15:38.330
time. It's about being willing to kill your darlings.

00:15:39.090 --> 00:15:41.429
Or, to use Chamberlain's amazing phrase, you

00:15:41.429 --> 00:15:43.490
have to be willing to neglect your intellectual

00:15:43.490 --> 00:15:45.750
offspring. You do, for the greater good of finding

00:15:45.750 --> 00:15:48.330
the actual truth. It's tainful, it goes against

00:15:48.330 --> 00:15:51.210
our nature, but it's entirely necessary. So here

00:15:51.210 --> 00:15:53.070
is the challenge we want to leave you with today.

00:15:53.769 --> 00:15:55.610
We always try to give you something practical

00:15:55.610 --> 00:15:58.289
to do with this information. The next time you

00:15:58.289 --> 00:16:01.789
find yourself entirely sure that you know the

00:16:01.789 --> 00:16:03.970
answer to something, whether it's why your car

00:16:03.970 --> 00:16:07.230
won't start or why a major project at work failed

00:16:07.230 --> 00:16:10.450
or even why a friend is mad at you, I want you

00:16:10.450 --> 00:16:13.289
to just stop. Catch yourself right in that moment

00:16:13.289 --> 00:16:16.929
of absolute certainty. Ask yourself, am I just

00:16:16.929 --> 00:16:19.830
protecting my pet theory right now? And then

00:16:19.929 --> 00:16:22.429
force yourself to write down at least two other

00:16:22.429 --> 00:16:25.289
possible explanations, even if they sound totally

00:16:25.289 --> 00:16:28.110
unlikely at first. Just the physical act of writing

00:16:28.110 --> 00:16:31.070
them down breaks the spell of the single hypothesis.

00:16:31.230 --> 00:16:33.929
It might hurt your ego a little bit, but it might

00:16:33.929 --> 00:16:36.110
also be the only way to actually solve the problem

00:16:36.110 --> 00:16:38.450
in front of you. Thank you so much for diving

00:16:38.450 --> 00:16:40.870
deep with us today. Keep looking for the alternative.

00:16:41.029 --> 00:16:44.230
Keep asking why and what else. See you next time.
