WEBVTT

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You know, if you have like five apples in a basket.

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Right, just sitting there. Yeah, you can see

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them, you can physically hold them, and your

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brain simply points and says, yep, got it. That's

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five. It's incredibly clean, very intuitive.

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Exactly. But the moment you read a headline about,

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say, a billion dollar valuation or some billion

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dollar infrastructure bill, your brain just sort

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of stops counting. Yeah, it completely gives

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up. It throws its hands up and just files that

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information into a mental folder labeled, you

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know. Just a big, vague pile of money. Right.

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So today, we are opening that folder for you.

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We are doing a deep dive into the Wikipedia page

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for the number $1 million. And I got to say,

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while a one followed by nine zeros sounds like,

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I don't know, the simplest math lesson ever.

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Oh, it is anything but simple. Yeah. It is actually

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this wild rabbit hole of linguistic illusions,

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ancient history, and literal invisible walls

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hidden inside your computer. It really is the

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absolute definition of numerical muddy waters.

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I mean, we evolved to understand quantities we

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could actually... interact with, right? Like

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50 people in a cave or maybe a thousand trees

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in a forest. Things we could physically see.

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Exactly. But a billion. We hear it thrown around

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constantly in the news, mostly as the standard

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unit for global economics, yet our paleolithic

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brains have absolutely no natural framework for

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it. So my goal today is to give you, the listener,

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the mental scaffolding to actually feel the weight

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of a 10 -digit number. Okay, let's unpack this.

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Yeah. Because before we even try to I feel like

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we have to talk about what a billion actually

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is linguistically. And I really have to push

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back on the English language here. Uh oh, here

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we go. No, seriously, because the prefix by literally

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means two. Right, like bicycle, two wheels. Exactly.

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And a million has six zeros. So a bi -illion,

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logically meaning a million to the second power,

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or a million millions, is infinitely more logical.

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Oh, one with 12 zeros? Yes. But here in the US,

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and now mostly globally, a billion just means

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a thousand millions. which is only nine zeros.

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Did we just like adopt a mathematically lazier

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word just for convenience? You're actually touching

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on a massive historical conflict here. It's known

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as the collision of the short scale and the long

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scale. And you are completely right, by the way.

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The long scale is etymologically purer. Thank

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you. I knew it. Yeah. Billion originally meant

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million squared. Trillion meant million cubed.

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It makes perfect logical sense. And for a very

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long time, British English used this example

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exact long scale, meaning a billion was 12 zeros

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for them. But the United States adopted the short

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scale early on, where a billion is just a thousand

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millions. Nine zeros. So wait. For decades, the

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U .S. and the U .K. were using the exact same

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word to describe two wildly different numbers.

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Yes. That sounds like an absolute disaster. A

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total disaster. I mean, just imagine trying to

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negotiate a post -World War II global trade deal.

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You have like an American industrialist and a

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British banker sitting in a room together. And

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the American asks for a billion dollars. To him,

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that means a thousand million. Right. But the

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British banker here is billion and thinks the

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American is asking for a million millions. Literally

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a thousand times more money. Oh my gosh. You

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can just imagine the panic. Exactly. The sheer

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terror of that miscommunication. So it wasn't

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laziness. It was just survival. Yeah. Basically,

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you could argue it was a linguistic tragedy,

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sure, but it was an absolute financial necessity.

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Standardization was basically forced upon us.

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The U .K. officially shifted to the short scale

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thousand millions in 1974, I believe, just to

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align with the U .S. and global financial reporting.

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Because it's impossible to run a global economy

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when everyone is working off different base units.

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Exactly. Though it is worth noting that a lot

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of languages still use a variation of the word

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milliard to describe a thousand million, which

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keeps their word for billion mathematically pure.

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Well, that's interesting. And other cultures

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bypass this whole million -based thing entirely.

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Like, in the Indian numbering system, they use

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100 crore or one Arab to represent this exact

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same 10 -digit number. OK, so we basically traded

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mathematical logic for a smoother stock market.

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That's one way to put it, yeah. But because we

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standardized the word, we kind of lost our grasp

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on the actual scale. Since language alone clearly

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isn't helping our brains visualize this, we need

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to translate a billion into the ultimate universal

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constants, time and distance. Yes, this is where

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it gets fun. Here's where it gets really interesting.

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I came up with an analogy for this as I was going

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through the source material. I want you to imagine

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a time machine. OK. But instead of typing in

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dates on a little keypad, the fuel gauge only

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accepts units of exactly 1 billion. I love a

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good thought experiment. Let's see where the

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math takes us. Right. So if I fuel up my time

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machine with 1 billion seconds and I hit the

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button to go backward, I don't go back to the

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age of the dinosaurs. I don't even go back to

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the invention of the internet. Nope. 1 billion

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seconds is about 31 .7 years. That's it. That's

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it. If I wait a billion seconds, I basically

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just get some gray hair and maybe finish paying

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off a mortgage. Which is such a sobering realization

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of how short a second actually is, or I guess

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how vast a billion is. I mean, 31 .7 years is

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a massive chunk of a human lifespan, and it is

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contained entirely within a single billion ticks

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of the clock. Right. But let's upgrade the fuel.

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I'm turning the dial on the time machine. One

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billion minutes ago, where are we landing? Okay,

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so now you are traveling back roughly 1 ,901

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years. Wow. Yeah, you're landing right in the

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middle of a flourishing Roman Empire. You're

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watching the peak of the gladiatorial games,

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the early emergence of Christianity. That is

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insane. Just by changing the word from seconds

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to minutes, we went from a standard mortgage

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to the literal Colosseum. It stales incredibly

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fast. Okay, let's keep going. Turn the dial to

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hours. one billion hours ago. Now you've wiped

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out all of recorded human civilization. Gone.

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Gone. You are traveling back roughly 114 ,000

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years. We are deep in the middle Paleolithic

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period, the Stone Age. You're hanging out with

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the early ancestors of modern humans who are

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just starting to figure out complex stone tools.

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And if we go to days, one billion days ago. You

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are 2 .73 million years in the past. Oh, man.

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You are watching Australopithecus roam the African

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savannas. Homo sapiens aren't even a glimmer

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in evolution's eye yet. Notice how quickly the

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scale completely escapes our everyday comprehension.

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It does. And it gets wilder. Because I have to

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know about months. If I use a billion months

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to fuel the time machine. Well, a billion months

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is about 83 .3 million years. So yes, if you

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hit that button, you are suddenly dodging a T

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-Rex in the late Cretaceous period. That completely

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breaks my brain. And if we connect this to the

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bigger picture, this progression beautifully

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demonstrates the sheer brevity of human existence.

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When you scale a billion against the cosmos,

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humanity just disappears entirely. How so? Because

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if we look at a billion decades ago, which is

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exactly 10 billion years, our solar system didn't

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even exist. Wait, Yali. Yeah, the thin disk of

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the Milky Way galaxy was just starting to form

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out of cosmic dust. And even then, the universe

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itself is thought to be about 13 .8 billion years

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old. So a billion is the literal ruler by which

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the universe is measured. And that ruler works

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for physical distance too. Like if I ask you

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to imagine driving a billion inches, a billion

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inches is 15 ,783 miles. Which is huge! Yeah.

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If you started driving right now, a billion inches

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takes you more than halfway around the globe.

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You could reach literally any point on the earth

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from any other point with just a billion inches.

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And if we jump to a billion meters a gigameter,

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that is almost three times the distance from

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the earth to the moon. And a billion kilometers

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is over six times the distance from the earth

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to the sun. It's dizzying. I mean, we use this

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exact same number to talk about quarterly corporate

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profits, yet it spans the distance to the sun

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and back. Exactly. Time and space are just so

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vast, and maybe there's still a bit too abstract

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for us. So what if we tried to bring this back

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down to Earth? Look around the room you're sitting

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in right now. What if we tried to put a billion

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physical, tangible things into that room? Oh,

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this is where intuition really betrays us. The

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relationship between volume, mass, and large

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numbers is incredibly counterintuitive. Okay,

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let's test it. Let's take a billion grains of

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table salt, or like granulated sugar. If you

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poured out exactly one billion grains, how much

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physical space do you think it would take up?

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I mean, intuitively you'd think maybe a whole

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room. Right. But it turns out it would only occupy

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about 2 .5 cubic feet. That is astonishingly

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small. Isn't it? Picture a standard mini -fridge

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in a college dorm room or just the empty space

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under your office desk. That's a billion grains

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of salt. You could fit it in the trunk of your

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car. Wow. But now let's change the unit. Let's

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look at a billion kilograms. What does a billion

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kilograms look like? A lot bigger than a mini

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-fridge. Slightly. A billion kilograms is the

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combined weight of 5 ,525 empty Boeing 747 jumbo

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jets. So we go from a cardboard box that fits

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neatly under your desk to an armada of commercial

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airliners that would literally black out the

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sky. Yeah. So I have to ask you, is this why

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humans are so profoundly bad at grasping economics

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and national debt? Because the word billion can

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represent the size of a mini -fridge or a literal

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fleet of airplanes depending entirely on the

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unit attached to it. Like, how is our brain supposed

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to process that? That is exactly the mechanism

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behind our economic blindness. Volume and mass

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trick our perception, because they grow in three

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dimensions, right? While our mental counting

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process is strictly linear. We can easily picture

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one airplane. We can maybe picture 10 parked

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on a tarmac. But 5 ,525 airplanes is just a logistical

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nightmare for our visual cortex. It shuts down

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and defaults back to that folder of a lot. And

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what's truly remarkable here is looking at the

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historical divide between nature and human engineering

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at this scale. Oh right, the source notes that

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a small mountain, like slightly larger than Stone

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Mountain in Georgia, weighs about a billion tons.

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Yes. For almost all of history, numbers this

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large were exclusively the domain of nature.

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Mountains weighing a billion tons. The largest

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ant colony in the world, which stretches almost

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4 ,000 miles along the Mediterranean coast, contains

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billions of worker ants. Humans were entirely

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excluded from the billion class. Exactly. Until

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1804. Right, that was the year the global human

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population finally hit one billion. But look

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at how rapidly human engineering has scaled since

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that milestone. We went from taking the entirety

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of human history to produce one billion people

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to mass producing technology at that exact same

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scale in just a few decades. It's exponential.

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It is. Apple sold its one billionth iPhone by

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July 2016. Facebook reached over three billion

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active users by 2025. We have literally built

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artificial digital networks that rival the largest

00:11:06.269 --> 00:11:09.570
biological colonies on Earth. So we finally conquered

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the physical billion. But that physical engineering

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eventually gave birth to a digital world. And

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in that digital world, a billion isn't just a

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milestone to celebrate. No, it acts as an invisible

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physical wall. Which brings us to the strange,

00:11:22.429 --> 00:11:24.889
highly specific territory of the numbers that

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follow one million. the underlying architecture

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of the information age. I was reading through

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the section of the source that catalogs specific

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10 -digit numbers, and I have to admit, I felt

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completely out of my depth. It felt like reading

00:11:36.470 --> 00:11:38.629
the code for the matrix. It can be pretty dense.

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Yeah, it's like a 2 ,147 ,483 ,647. Ah, yes.

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The source says this is the eighth Mersenne prime.

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But more importantly for us, it is the largest

00:11:49.970 --> 00:11:54.200
signed 32 -bit integer. And then there's 4 ,294

00:11:54.200 --> 00:11:59.139
,967 ,295, which is the maximum 32 -bit unsigned

00:11:59.139 --> 00:12:01.059
integer. Right. I need you to translate this

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for me. What does signed and unsigned actually

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mean for a computer? Is a sign literally just

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a positive or negative marker? And what is a

00:12:07.679 --> 00:12:09.539
Mersenne prime? OK, let's break that down, because

00:12:09.539 --> 00:12:11.320
that mechanism here is fascinating. First, a

00:12:11.320 --> 00:12:13.600
Mersenne prime is just a prime number that is

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1 less than a power of 2. OK. So 2 to the power

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n minus 1. In this case, 2 to the 31st power

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minus 1 gives us roughly 2. Now, regarding signed

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and unsigned, you absolutely nailed it. The sign

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is just the positive or negative symbol. But

00:12:30.120 --> 00:12:32.159
you have to remember that computers have finite

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physical memory. For decades, much of our computing

00:12:35.039 --> 00:12:38.379
architecture was built on 32 -bit systems. That

00:12:38.379 --> 00:12:41.899
means the computer has exactly 32 tiny physical

00:12:41.899 --> 00:12:46.080
switches or bits to store a number. OK, 32 physical

00:12:46.080 --> 00:12:48.340
switches. If a number is signed, the computer

00:12:48.340 --> 00:12:50.559
has to sacrifice one of those precious switches

00:12:50.559 --> 00:12:52.700
just to remember if the number is positive or

00:12:52.700 --> 00:12:55.899
negative. That leaves only 31 switches to actually

00:12:55.899 --> 00:12:58.879
count the number. And the absolute maximum number

00:12:58.919 --> 00:13:03.779
can count to with 31 binary switches is 2 ,147

00:13:03.779 --> 00:13:08.700
,483 ,647. I see. But if a number is unsigned?

00:13:08.899 --> 00:13:10.860
If it's unsigned, meaning the programmer tells

00:13:10.860 --> 00:13:12.500
the computer, hey, this number will never go

00:13:12.500 --> 00:13:14.820
below zero, it's strictly positive, you get that

00:13:14.820 --> 00:13:17.100
switch back. Oh. And because binary works in

00:13:17.100 --> 00:13:19.620
powers of 2, getting one extra switch literally

00:13:19.620 --> 00:13:21.960
doubles your maximum limit. Precisely. That's

00:13:21.960 --> 00:13:24.539
why the unsigned 32 -bit integer limit jumps

00:13:24.539 --> 00:13:27.440
up to roughly 4 .29 billion. That makes perfect

00:13:27.440 --> 00:13:30.500
sense. These specific 10 -digit numbers were

00:13:30.500 --> 00:13:32.539
the literal boundaries of our digital reality.

00:13:33.000 --> 00:13:36.039
If a video game score, or a bank database counter,

00:13:36.500 --> 00:13:39.960
or a YouTube view count exceeded 2 .14 billion

00:13:39.960 --> 00:13:43.039
on a signed 32 -bit system, it would physically

00:13:43.039 --> 00:13:45.720
break. The computer simply didn't have the switches

00:13:45.720 --> 00:13:48.539
to comprehend a number larger than that. You

00:13:48.539 --> 00:13:50.220
might actually remember when the music video

00:13:50.220 --> 00:13:52.360
for Gangnam Style broke YouTube's view counter.

00:13:52.559 --> 00:13:54.789
Wait, was that because of this? Yes. It crossed

00:13:54.789 --> 00:13:57.970
that exact 2 .14 billion threshold, and the system

00:13:57.970 --> 00:13:59.950
couldn't handle it. It's literally the edge of

00:13:59.950 --> 00:14:02.049
the digital universe. But honestly, that isn't

00:14:02.049 --> 00:14:03.690
even the weirdest part of this section. There's

00:14:03.690 --> 00:14:06.629
more. The source lists these incredibly strange

00:14:06.629 --> 00:14:13.289
10 -digit numbers, like 3 ,405 ,691 ,582. The

00:14:13.289 --> 00:14:15.070
source says this is used as a magic debug value

00:14:15.070 --> 00:14:16.990
in programming, corresponding to the letters

00:14:16.990 --> 00:14:20.149
C -A -F -E -B -E -E. Cafe babe. Cafe babe. And

00:14:20.149 --> 00:14:25.549
then 3 ,735 ,928 ,559 corresponds to D -E -A

00:14:25.549 --> 00:14:29.230
-D -B -E -F. Dead beef. Okay, why are computer

00:14:29.230 --> 00:14:31.309
programmers hiding the word dead beef inside

00:14:31.309 --> 00:14:33.470
10 -digit numbers? Are these digital inside jokes?

00:14:33.690 --> 00:14:36.110
Well, sort of, but this brings up an incredibly

00:14:36.110 --> 00:14:38.529
important point about how humans interface with

00:14:38.529 --> 00:14:41.549
machines. You see, computers don't read numbers

00:14:41.549 --> 00:14:44.370
in base 10 like we do. They operate in binary,

00:14:44.629 --> 00:14:47.990
endless strings of 1s and 0s. Right. But humans

00:14:47.990 --> 00:14:51.350
can't read a string of 32 1s and 0s without going

00:14:51.350 --> 00:14:54.230
completely cross -eyed. So programmers use a

00:14:54.230 --> 00:14:57.230
system called hexadecimal, which is base 16.

00:14:57.389 --> 00:14:59.730
Base 16. So instead of counting 0 to 9, you have

00:14:59.730 --> 00:15:02.720
to count 0 to 15. But we don't have single numbers

00:15:02.720 --> 00:15:05.899
for 10 through 15 exactly so to solve that problem

00:15:05.899 --> 00:15:08.580
hexadecimal uses the standard numbers 0 through

00:15:08.580 --> 00:15:11.840
9 But then it uses the letters a through F to

00:15:11.840 --> 00:15:14.679
represent 10 through 15 the whole mechanism here

00:15:14.679 --> 00:15:17.399
is compression hexadecimal takes those massive

00:15:17.399 --> 00:15:20.220
unreadable binary strings and Compresses them

00:15:20.220 --> 00:15:23.240
into shorter human readable chunks. Okay, so

00:15:23.240 --> 00:15:26.100
because it uses letters a through F You can actually

00:15:26.100 --> 00:15:29.000
spell words. You can. So imagine you are a programmer,

00:15:29.419 --> 00:15:31.799
your software crashes, and you have to scan through

00:15:31.799 --> 00:15:33.980
thousands of lines of raw memory looking for

00:15:33.980 --> 00:15:36.179
the exact spot where the error occurred. Sounds

00:15:36.179 --> 00:15:42.600
terrible. It is. The numerical value 3 ,735 ,928

00:15:42.600 --> 00:15:45.559
,559 doesn't mean anything to your human eyes.

00:15:45.820 --> 00:15:48.039
It just blends in with all the other data. But

00:15:48.039 --> 00:15:51.080
when translated to hexadecimal, it spells dead

00:15:51.080 --> 00:15:53.559
beef. Oh, it jumps right off the screen. Yes.

00:15:53.759 --> 00:15:55.899
When a programmer needs a highly visible value

00:15:55.899 --> 00:15:58.919
to mark uninitialized memory or a software crash,

00:15:59.259 --> 00:16:02.139
they use one of these magic debug values. It's

00:16:02.139 --> 00:16:04.159
basically a way for human engineers to leave

00:16:04.159 --> 00:16:06.320
bright neon breadcrumbs for themselves inside

00:16:06.320 --> 00:16:08.740
the vast, cold landscape of computer memory.

00:16:08.840 --> 00:16:10.779
That is brilliant. It's just human nature trying

00:16:10.779 --> 00:16:13.220
to make the incomprehensible readable. Exactly.

00:16:13.480 --> 00:16:15.620
And to round out the math quirks, the source

00:16:15.620 --> 00:16:19.820
gives us one last number. 6 ,210 ,000 ,000. It

00:16:19.820 --> 00:16:21.899
is the only self -descriptive number in DACE

00:16:21.899 --> 00:16:24.039
10. I love this one. Meaning the first digit,

00:16:24.159 --> 00:16:26.179
6, tells you exactly how many zeros are in the

00:16:26.179 --> 00:16:28.379
number. The second digit, 2, tells you there

00:16:28.379 --> 00:16:30.320
are two 1s in the number. The third digit, 1,

00:16:30.379 --> 00:16:32.279
tells you there are one 2, and so on. A number

00:16:32.279 --> 00:16:35.320
that perfectly mathematically defines its own

00:16:35.320 --> 00:16:38.940
internal structure. It's beautiful, really. And

00:16:38.940 --> 00:16:40.720
I would ask you to consider what stands out to

00:16:40.720 --> 00:16:44.600
you more here. The pure, pristine math of a self

00:16:44.600 --> 00:16:47.399
-descriptive number or the messy human fingerprints,

00:16:47.639 --> 00:16:50.460
like the dead beefs, left deliberately inside

00:16:50.460 --> 00:16:53.340
the code. It really is a fascinating clash between

00:16:53.340 --> 00:16:56.320
natural, immutable math and human invention.

00:16:57.080 --> 00:16:59.340
So let's take a step back and look at what we've

00:16:59.340 --> 00:17:01.059
actually uncovered today. We've covered a lot

00:17:01.059 --> 00:17:03.779
of ground. We really have. We started with the

00:17:03.779 --> 00:17:05.950
linguistic quirks of the milliard. and realized

00:17:05.950 --> 00:17:09.289
that trying to avoid a post -WWII trade disaster

00:17:09.289 --> 00:17:12.690
actually cost us our logical mathematical prefixes.

00:17:12.750 --> 00:17:15.390
A necessary sacrifice. Then we fueled a time

00:17:15.390 --> 00:17:17.250
machine and discovered that just changing the

00:17:17.250 --> 00:17:19.109
dial for minutes to months drops us out of the

00:17:19.109 --> 00:17:21.470
Roman Empire and right into the path of a T -Rex.

00:17:22.170 --> 00:17:23.950
We learned that our brains absolutely cannot

00:17:23.950 --> 00:17:26.269
be trusted with volume because a billion can

00:17:26.269 --> 00:17:28.630
be a mini -fridge of salt under your desk or

00:17:28.630 --> 00:17:31.089
a sky -darkening fleet of over 5 ,000 Boeing

00:17:31.089 --> 00:17:34.839
747s. Depending entirely on the unit. Yep. We

00:17:34.839 --> 00:17:38.000
saw humanity scale from taking all of biological

00:17:38.000 --> 00:17:40.220
history to hit one billion people to churning

00:17:40.220 --> 00:17:43.160
out a billion iPhones in a matter of years. And

00:17:43.160 --> 00:17:45.079
finally, we found out that the invisible walls

00:17:45.079 --> 00:17:48.519
of our digital world are literally padded with

00:17:48.519 --> 00:17:51.839
secret hexadecimal beef. It is a profound shift

00:17:51.839 --> 00:17:54.720
in perspective when you finally attach real world

00:17:54.720 --> 00:17:58.180
weight to those zeros. So the next time a politician

00:17:58.180 --> 00:18:01.940
or a scientist or a tech CEO casually drops the

00:18:01.940 --> 00:18:04.740
word billion into a sentence. You now possess

00:18:04.740 --> 00:18:06.819
the mental toolkit to actually weigh that number

00:18:06.819 --> 00:18:08.859
in your mind. You can picture the airplanes,

00:18:08.960 --> 00:18:11.599
the years, the distance to the moon. It is no

00:18:11.599 --> 00:18:14.140
longer just a vague, murky synonym for a lot.

00:18:14.599 --> 00:18:16.819
You have brought the apples back into the physical

00:18:16.819 --> 00:18:19.410
basket. And yet, I want to leave you with one

00:18:19.410 --> 00:18:22.430
final mind -expanding thread to pull on. Oh,

00:18:22.430 --> 00:18:24.930
what's that? Well, if it takes this much cognitive

00:18:24.930 --> 00:18:27.109
effort, this many historical breakdowns, and

00:18:27.109 --> 00:18:29.329
this many wild analogies for our brains to even

00:18:29.329 --> 00:18:33.210
begin to visualize a single billion, how fundamentally

00:18:33.210 --> 00:18:36.029
distorted is our perception of a trillion? Yeah.

00:18:36.150 --> 00:18:38.549
As national debts and tech valuations casually

00:18:38.549 --> 00:18:41.210
cross the trillion mark, we are entering a scale

00:18:41.210 --> 00:18:43.549
of math that our paleolithic brains were simply

00:18:43.549 --> 00:18:46.529
never built to comprehend. Try translating a

00:18:46.529 --> 00:18:48.619
trillion seconds into yours tonight and see how

00:18:48.619 --> 00:18:48.980
you feel.
