WEBVTT - How Chaos Theory Changed the Universe

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<v Speaker 1>This episode of Stuff You Should Know is sponsored by Squarespace.

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<v Speaker 1>website apart. Welcome to Stuff you Should Know from House

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<v Speaker 1>Stuff Works dot com. Hey, and welcome to the podcast.

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<v Speaker 1>I'm Josh Clark with Charles W. Chuck Bryant, and there's

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<v Speaker 1>Jerry over there. So this is Stuff you Should Know,

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<v Speaker 1>the podcast about chaos theory. Like, uh, have you ever

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<v Speaker 1>seen Event Horizon? I did not bad great movie? Are

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<v Speaker 1>you crazy? I don't think it was great? Oh so

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<v Speaker 1>imagine it it. I thought it was okay. It was

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<v Speaker 1>like a love crafty and thing in our space. Loved

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<v Speaker 1>it all right, I love crafted it. I liked it. Um.

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<v Speaker 1>That's what I think of when I think of k US.

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<v Speaker 1>You know, there's that one part where they kind of

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<v Speaker 1>give you like a glimpse behind, like the dimension that

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<v Speaker 1>this action is taking place in, to see the chaos underneath,

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<v Speaker 1>and you should check that out again. I think about

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<v Speaker 1>Jurassic Park and Jeff Goldblum as as the creep. Dr

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<v Speaker 1>Malcolm explaining chaos in the little auto driving suv or

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<v Speaker 1>whatever that was. Yeah, that's what it was called in

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<v Speaker 1>the script, the auto driving suv scene. Yeah, and you

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<v Speaker 1>know what, he actually rewatched that scene and it confirmed

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<v Speaker 1>two things. One is that he uh, he actually did

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<v Speaker 1>a pretty decent job for a Hollywood movie with a

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<v Speaker 1>very rudimentary explanation of chaos. Um, and you watched it

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<v Speaker 1>for this Yeah, yeah, just that scene. And then it

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<v Speaker 1>also confirmed of what a creep that character was. Yeah,

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<v Speaker 1>if you watched that scene, he's like, you know, he's

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<v Speaker 1>all gross and flirty with her right in front of

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<v Speaker 1>her ex but there's just you know, he's talking to her.

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<v Speaker 1>I didn't even notice this at first. He like he

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<v Speaker 1>just like touches her hair out of nowhere for no reason.

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<v Speaker 1>He's just talking to her and he just like grabs

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<v Speaker 1>her hair and touches it. And I'm like, what a creep.

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<v Speaker 1>I know, if you look closely, you can see the

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<v Speaker 1>hormones emerging through his chest hair. Yeah, and I love

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<v Speaker 1>Jeff Goldblum. It's not a reflection on him. He was

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<v Speaker 1>basically doing Jeff Goldblum. Well that's what Yeah, sure he's

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<v Speaker 1>Jeff Goldblum, but I don't think that's how in the

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<v Speaker 1>manner in which he speaks. But I don't think he's

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<v Speaker 1>a creep, do you. Wow, I've got nothing against Jeff

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<v Speaker 1>gold Okay, I think he's a I think he's doing

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<v Speaker 1>Jeff Goldblum. It was also a sign of the times,

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<v Speaker 1>like if that movie were made today, doctor what was

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<v Speaker 1>her name in the movie? Yeah, Dr Sutler would be like,

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<v Speaker 1>it's very inappropriate to stroke my hair, like, don't touch me.

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<v Speaker 1>But this was the nineties. Was eight No, it was nineties.

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<v Speaker 1>It was the early mid ninety. Other thing, the book

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<v Speaker 1>came out and in the book, uh Ian Malcolm, who's

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<v Speaker 1>a Kayetician creep Kaetician? Right he um he he goes

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<v Speaker 1>into even more depth about chaos. But that was I mean,

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<v Speaker 1>that was the first time I ever heard of chaos

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<v Speaker 1>theory was from Jurassic Parks, and um it really it

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<v Speaker 1>was really misleading. I think the entire term chaos is

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<v Speaker 1>very misleading as far as the general public goes as

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<v Speaker 1>from what I researched in this this for this article. Well, yeah,

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<v Speaker 1>I mean you hear the word chaos as an English

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<v Speaker 1>speaker and you think frenetic and crazy, out of control. Yeah,

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<v Speaker 1>and that's not what it means in terms of science

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<v Speaker 1>like this, right. What it means, I guess we can

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<v Speaker 1>say up front is is basically the idea that complex

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<v Speaker 1>systems do not behave in very neat ways that we

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<v Speaker 1>can easily grasp, understand, ander measure, right, and not even

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<v Speaker 1>even simple systems don't. Sometimes it doesn't always have to

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<v Speaker 1>be complex. But um, I want to give a shout

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<v Speaker 1>out in addition to our own article to UH when

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<v Speaker 1>you know, when it comes to stuff like this, the

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<v Speaker 1>brain breaking stuff. For me, this is a breaker. You

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<v Speaker 1>know how I always go to like blank blank for

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<v Speaker 1>kids because it always helps. If there's a dinosaur mascot

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<v Speaker 1>on the page, it's a sure thing we can understand it.

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<v Speaker 1>But the best explanation for all this stuff that I

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<v Speaker 1>found on the internet was from a website called a

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<v Speaker 1>bar Um A B A R I. M. Publications, which

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<v Speaker 1>turns out to be a website about biblical patterns and

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<v Speaker 1>sandwiched in the middle, there is a really great, easy

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<v Speaker 1>to understand UH series of pages on chaos there. So

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<v Speaker 1>I was like, man, I get it now in a

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<v Speaker 1>rudimentary way, right, Well, yeah, um, I think even a

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<v Speaker 1>lot of people who deal with systems that display chaotic behavior,

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<v Speaker 1>which I guess is to say basically all systems eventually

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<v Speaker 1>under the right conditions, Um, don't necessarily understand chaos. Yeah,

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<v Speaker 1>And they defined a complex system is specifically. It doesn't

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<v Speaker 1>mean just like, oh it's complex, I mean it is,

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<v Speaker 1>but specifically, Um, they define it in a way that

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<v Speaker 1>helped me understand it's a system that has so much motion,

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<v Speaker 1>so many elements that are in motion, moving parts. Yeah,

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<v Speaker 1>that it takes like a computer to calculate all the

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<v Speaker 1>possibilities of like what that could look like five minutes

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<v Speaker 1>from now, ten years from now. So before computers came around,

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<v Speaker 1>we before the quantum mechanical revolution, it was there's a

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<v Speaker 1>lot more basic. It was like what comes up must

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<v Speaker 1>come down, stuff like that. Let's talk about that, Chuckers,

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<v Speaker 1>because when you're talking about chaos theory, it helps to

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<v Speaker 1>understand how it revolutionized the universe by getting a clear

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<v Speaker 1>picture of how we understood the universe leading up to

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<v Speaker 1>the discovery of chaos. Right, So, prior to the um

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<v Speaker 1>the scientific revolution, everybody was like, oh, well, it's it's God.

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<v Speaker 1>The Earth is at the center of the universe and

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<v Speaker 1>God is spinning everything around like a top right, it

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<v Speaker 1>was all a theistic explanation. Then the scientific revolution happens

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<v Speaker 1>and people start applying things like math and making like

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<v Speaker 1>mathematical discoveries and and and figuring out that there are

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<v Speaker 1>there's order. They're finding order in patterns and predictability to

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<v Speaker 1>the universe if you can apply mathematics to it, specifically,

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<v Speaker 1>if you can apply mathematics to the starting point, right, right,

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<v Speaker 1>So if you can, if you can um figure out

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<v Speaker 1>how a system works mathematically speaking, right, you can go

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<v Speaker 1>in and plug in whatever coordinates you want to and

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<v Speaker 1>watch it go. You can predict what what the outcomes

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<v Speaker 1>can be and what this is the it's based on

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<v Speaker 1>what at the time was a totally revolutionary idea um

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<v Speaker 1>By Initially, I think the cart was the first one

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<v Speaker 1>to kind of say, causing effect is a pretty big

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<v Speaker 1>part of our universe, right. Yeah. It was sort of

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<v Speaker 1>like where this is sixteen hundreds, where early science met philosophy.

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<v Speaker 1>They kind of complimented one another as far as something

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<v Speaker 1>that's we're talking about determinism, right, So that was the

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<v Speaker 1>kind of the seeds of determinism. Was the scientific revolution,

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<v Speaker 1>And like you said, where philosophy and science came together

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<v Speaker 1>in the form of Descartes, right, and then Newton came

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<v Speaker 1>along and we did a whole episode on him. Yeah,

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<v Speaker 1>January of this year. That was a good one. It

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<v Speaker 1>was really good. Like I think you said in that

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<v Speaker 1>episode that there's possibly no scienists that changed the world

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<v Speaker 1>more than Newton has. He's he's got legs. People shouted

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<v Speaker 1>out others and email, but I'll just say he's at

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<v Speaker 1>the near the top for sure with some other people.

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<v Speaker 1>The Cream. Yeah, so Newton came along and Newton said

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<v Speaker 1>that was his name, Isaac the Cream new anytime he

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<v Speaker 1>don't to be like cream. Yeah, you just got creamed.

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<v Speaker 1>I thought he was a boxer. He's a basketball player.

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<v Speaker 1>He was much more well known as a boxer, but

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<v Speaker 1>he definitely could dunk as a as a B baller. So,

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<v Speaker 1>um man, that threw me off a little bit. Yeah,

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<v Speaker 1>the Cream comes along and uh, he basically says, watch this, dude,

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<v Speaker 1>this causing effect thing you're talking about, I can express

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<v Speaker 1>it in quantifiable terms. And he comes up with all

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<v Speaker 1>of these great laws and and basically sets the stage

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<v Speaker 1>the foundation for science for the next three centuries or so. Yeah,

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<v Speaker 1>these these laws that were so rock solid and powerful

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<v Speaker 1>that scientists kind of got ahead of themselves a little

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<v Speaker 1>and said we're done. Like with Newton's laws, we can predict, uh,

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<v Speaker 1>we can predict everything if we have a good enough

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<v Speaker 1>beginning accurate value to plug into his equations, and they weren't.

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<v Speaker 1>I think there was a little hubrius and a little

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<v Speaker 1>just excitement about like, well we figured it all out

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<v Speaker 1>right that that you could take Newton's laws and if

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<v Speaker 1>you had accurate enough measurements, uh, you could predict what

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<v Speaker 1>the outcome would be of that system that you plug

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<v Speaker 1>those measurements into using these formula. And at the time,

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<v Speaker 1>a lot of this was like planetary, like, well, we

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<v Speaker 1>know that these planets are here and they're moving and

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<v Speaker 1>their orbiting, So if we know these things, we can

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<v Speaker 1>plug it into an equation and we can figure out

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<v Speaker 1>what it's going to be like in a hundred years exactly.

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<v Speaker 1>And they figured out the basis of determinism is what

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<v Speaker 1>we just said, that if you have accurate measurements, you

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<v Speaker 1>can take those measurements and use them to predict um

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<v Speaker 1>how a system is going to change over time using

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<v Speaker 1>differential equations. Right, yeah, so this is what this is

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<v Speaker 1>what Newton comes along and figures out that you can

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<v Speaker 1>describe the uni us in these mathematical terms using differential

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<v Speaker 1>equations and um like, you said there was a tremendous

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<v Speaker 1>amount of hubris, and well, I think you said there's

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<v Speaker 1>some hubris. I think there's a tremendous amount of hubris

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<v Speaker 1>where science basically said, we've mastered the universe, We've uncovered

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<v Speaker 1>the blueprint of the universe, and now we understand everything.

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<v Speaker 1>It's just a matter now of getting our scientific measurements

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<v Speaker 1>more and more and more exact. Because again, the hallmark

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<v Speaker 1>of determinism is that if you have exact measurements, you

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<v Speaker 1>can predict an outcome accurately, like the pool queue example

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<v Speaker 1>or the pool table example. Right right, So if you've

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<v Speaker 1>got a pool table, let's say you're playing some nine ball.

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<v Speaker 1>You have that beautiful little diamond set up, you got

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<v Speaker 1>your cue ball, you put that cue ball, and you

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<v Speaker 1>you crack it with the queue, and if you are

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<v Speaker 1>super accurate with your initial measurements, you should be able

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<v Speaker 1>to mathematically plot out via angles where the balls will

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<v Speaker 1>end up, right exactly, like you can say, this is

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<v Speaker 1>what the table will look like after the break. If

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<v Speaker 1>you know the force the angle, all those little variable temperature,

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<v Speaker 1>if there's wind in the room, like the felt on

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<v Speaker 1>the table, like everything. The more specific you are, the

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<v Speaker 1>more accurate your end result will be. Right. And then

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<v Speaker 1>one of the other hallmarks of determinism is that if

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<v Speaker 1>you take those exact same initial conditions and do them again,

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<v Speaker 1>the table, the pool table will look exactly the same

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<v Speaker 1>after the break, which is pretty much impossible for like

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<v Speaker 1>a human to do with their hands. Sure, but the

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<v Speaker 1>idea at the time of science is that if you

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<v Speaker 1>could build a perfect machine, sure that could recreate these conditions,

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<v Speaker 1>it will happen the same way every time. Right, And this,

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<v Speaker 1>I mean this led to they had hubris, but you

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<v Speaker 1>could understand it when like literally in two people predicted

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<v Speaker 1>Neptune would exist within months, that would exist, but does exist.

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<v Speaker 1>And this is not by looking up in the sky

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<v Speaker 1>like they did it with math and they were right.

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<v Speaker 1>So imagine in eighty when that happens, they're like, yeah,

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<v Speaker 1>we kinda we've got the math down, so we're pretty

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<v Speaker 1>much all knowing well. Plus also, for the most part,

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<v Speaker 1>these not just with Neptune, they were finding um that

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<v Speaker 1>this stuff really panned out. It held true for everything

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<v Speaker 1>from um you know, the investigation into electricity to new

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<v Speaker 1>chemical reactions and understanding those and it it laid the

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<v Speaker 1>scientific revolution, laid the basis for the industrial revolution, and

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<v Speaker 1>just the change that came out of the world like that.

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<v Speaker 1>It definitely there. It is understandable how science kind of

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<v Speaker 1>was like we got it all figured out well, and

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<v Speaker 1>like you said, they even Galileo was smart enough to

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<v Speaker 1>know there's uncertainty in these measurements, like the precision is key.

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<v Speaker 1>So they spent what does the article say, a lot

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<v Speaker 1>of the much of an enth and twenty century just

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<v Speaker 1>trying to build better instrumentation to get more and more

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<v Speaker 1>smaller and smaller and more precise measurements. Right, That was

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<v Speaker 1>like basically the goal of it, right, Yeah, which was

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<v Speaker 1>the right direction. That's like exactly what they should have

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<v Speaker 1>been doing. The problem is there, Like you said, Galileo

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<v Speaker 1>knew that there was some sort of there there gonna

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<v Speaker 1>be some flaws and measurement that we just didn't have

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<v Speaker 1>those great scientific instruments yet. It's called the uncertainty principle.

0:13:30.720 --> 0:13:35.880
<v Speaker 1>It's accuracy, right, But the idea is that if you

0:13:36.000 --> 0:13:39.520
<v Speaker 1>have a good enough instruments, you can overcome that, and

0:13:39.559 --> 0:13:46.000
<v Speaker 1>that the the more you shrink the um error in

0:13:46.120 --> 0:13:50.800
<v Speaker 1>measuring the initial conditions, the more you're gonna shrink the

0:13:50.960 --> 0:13:53.640
<v Speaker 1>error in the outcome. It would be proportionate. Right. They

0:13:53.679 --> 0:13:58.040
<v Speaker 1>were correct. The thing is they were also aware but

0:13:58.800 --> 0:14:03.439
<v Speaker 1>ignoring in a lot a lot of ways some outstanding problems,

0:14:03.960 --> 0:14:08.120
<v Speaker 1>specifically something called the end body problem. You know what,

0:14:08.559 --> 0:14:10.679
<v Speaker 1>I'm so excited about this. I need to take a break.

0:14:10.800 --> 0:14:12.320
<v Speaker 1>I think that's a good idea. I need to go

0:14:12.800 --> 0:14:17.400
<v Speaker 1>check out my end body in the bathroom. Okay, and

0:14:17.520 --> 0:14:37.240
<v Speaker 1>we'll be back. All right, check, we're back. So there's

0:14:37.240 --> 0:14:41.320
<v Speaker 1>some there's some issues right with determinism. There's some some

0:14:41.400 --> 0:14:46.280
<v Speaker 1>weird problems out there that are saying like, hey, pay

0:14:46.320 --> 0:14:51.280
<v Speaker 1>attention to me because I'm not sure determinism works. Uh.

0:14:51.320 --> 0:14:53.640
<v Speaker 1>And one of the one is the end body problem. Yeah.

0:14:53.680 --> 0:14:58.880
<v Speaker 1>How this came about was that was King Oscar number

0:14:58.880 --> 0:15:02.960
<v Speaker 1>two of Sweet and Norway. Yeah, I don't want to

0:15:03.040 --> 0:15:06.080
<v Speaker 1>leave out Norway both. Uh. He said, you know what,

0:15:06.400 --> 0:15:08.920
<v Speaker 1>let's offer a prize to anyone who can prove the

0:15:08.960 --> 0:15:12.720
<v Speaker 1>stability of the solar system something that has been stable

0:15:13.040 --> 0:15:16.160
<v Speaker 1>for a long time before that and a lot of

0:15:16.560 --> 0:15:19.240
<v Speaker 1>the most brilliant minds on planet Earth got together and

0:15:19.240 --> 0:15:23.720
<v Speaker 1>tried to do this, uh with mathematical proofs, and no

0:15:23.760 --> 0:15:28.640
<v Speaker 1>one could do it. Uh. And then a dude name Honoree.

0:15:29.400 --> 0:15:33.400
<v Speaker 1>You gotta help me there with that, Oh, say, the

0:15:33.400 --> 0:15:38.240
<v Speaker 1>whole thing very nice. He was French, believe it or not,

0:15:38.880 --> 0:15:40.920
<v Speaker 1>and he was a mathematician, and he said, you know what,

0:15:41.560 --> 0:15:44.080
<v Speaker 1>I'm not gonna look at this big picture of all

0:15:44.080 --> 0:15:46.320
<v Speaker 1>the planets in the sun and all their orbits. You'd

0:15:46.320 --> 0:15:48.360
<v Speaker 1>have to be a fool to try that. Sure, he said,

0:15:48.360 --> 0:15:51.320
<v Speaker 1>I'm gonna shrink this down, Like we talked about shrinking

0:15:51.320 --> 0:15:56.200
<v Speaker 1>that initial value, you know, and um, that initial condition.

0:15:56.240 --> 0:15:57.840
<v Speaker 1>He shrunk it down. He said, I'm gonna look at

0:15:58.360 --> 0:16:02.960
<v Speaker 1>just a couple of bodies orbiting one another, uh, with

0:16:03.000 --> 0:16:05.640
<v Speaker 1>a common center of gravity. And I'm gonna look at this.

0:16:06.360 --> 0:16:09.240
<v Speaker 1>And this was called the N body problem. Yeah, which

0:16:09.240 --> 0:16:13.200
<v Speaker 1>was smart to do, because the more variables you factor

0:16:13.280 --> 0:16:18.240
<v Speaker 1>into um a nonlinear equation like that, just the harder

0:16:18.240 --> 0:16:20.600
<v Speaker 1>it's gonna be. So he shrunk it down. So the

0:16:20.760 --> 0:16:24.520
<v Speaker 1>N body problem has to do with three or more

0:16:24.640 --> 0:16:28.360
<v Speaker 1>celestial bodies orbiting one another. So Plank said, I'll just

0:16:28.400 --> 0:16:32.160
<v Speaker 1>start with three. Smart and what he found from doing

0:16:32.200 --> 0:16:35.960
<v Speaker 1>his equations for this this King Oscar. The sequel prize

0:16:36.640 --> 0:16:43.520
<v Speaker 1>um was that shrinking the initial conditions um measurement or

0:16:43.880 --> 0:16:49.760
<v Speaker 1>rate of error right, did not really shrink the the

0:16:49.960 --> 0:16:54.160
<v Speaker 1>error in the outcome, which flies in the face of determinism.

0:16:54.200 --> 0:16:59.840
<v Speaker 1>What he found was that just very very minute different

0:17:00.120 --> 0:17:04.880
<v Speaker 1>is in the initial conditions fed into a system produced

0:17:05.160 --> 0:17:09.119
<v Speaker 1>wildly different outcomes after a fairly short time. Yeah, like,

0:17:09.200 --> 0:17:11.360
<v Speaker 1>let me just round off the mass of this planet

0:17:11.400 --> 0:17:16.159
<v Speaker 1>at like the eighth decimal point, and you know who cares?

0:17:16.280 --> 0:17:18.760
<v Speaker 1>Who cares at that point? Let me just round that

0:17:18.800 --> 0:17:21.800
<v Speaker 1>one to a two, and that would throw everything off

0:17:21.880 --> 0:17:24.840
<v Speaker 1>at a at a pretty high rate. And he said,

0:17:25.480 --> 0:17:30.560
<v Speaker 1>wait a minute, I think this contest is in polsib right,

0:17:30.840 --> 0:17:33.840
<v Speaker 1>He said, there is no way to prove prove, to

0:17:34.000 --> 0:17:39.520
<v Speaker 1>prove the stability of the Solar system, because he just

0:17:39.680 --> 0:17:44.120
<v Speaker 1>uncovered the idea that it's impossible for us to predict

0:17:44.680 --> 0:17:50.200
<v Speaker 1>the the the rate of change among celestial bodies. Yeah,

0:17:50.240 --> 0:17:53.360
<v Speaker 1>it's such a complex system. There are far too many

0:17:53.480 --> 0:17:58.639
<v Speaker 1>variables that, uh, it's impossible to start with something so

0:17:58.720 --> 0:18:04.000
<v Speaker 1>minute to get the equation whatever the sum that you want. Well,

0:18:04.040 --> 0:18:07.080
<v Speaker 1>not only that, but the result, not only that and

0:18:07.119 --> 0:18:11.800
<v Speaker 1>this is what really undermined determinism was that he figured

0:18:11.800 --> 0:18:16.640
<v Speaker 1>out that you would have to have an infinitely precise measurement,

0:18:18.000 --> 0:18:20.640
<v Speaker 1>which even if you build a perfect machine that could

0:18:20.640 --> 0:18:24.000
<v Speaker 1>take the infinitely or a perfect machine that could take

0:18:24.000 --> 0:18:27.240
<v Speaker 1>a measurement of like the the movement of a celestial

0:18:27.240 --> 0:18:33.960
<v Speaker 1>body around another, you, it's literally impossible to get infinite

0:18:34.160 --> 0:18:38.280
<v Speaker 1>and infinitely precise measurement, which means that we could never

0:18:38.400 --> 0:18:41.399
<v Speaker 1>predict out to a certain degree the movement of the

0:18:41.480 --> 0:18:45.840
<v Speaker 1>celestial bodies. Like he was saying, like, no, you you

0:18:46.000 --> 0:18:49.320
<v Speaker 1>can't get You can't build a machine that that gets

0:18:49.320 --> 0:18:53.359
<v Speaker 1>measurements enough that we can overcome this, like determinism is wrong,

0:18:53.800 --> 0:18:57.960
<v Speaker 1>Like you can't just say, uh, we have the understanding

0:18:58.000 --> 0:19:02.000
<v Speaker 1>to predict everything. There's a lot of stuff out there

0:19:02.000 --> 0:19:04.480
<v Speaker 1>that we're not able to predict. And he uncovered it

0:19:04.560 --> 0:19:06.879
<v Speaker 1>trying to figure out this end body problem. Yeah, and

0:19:07.000 --> 0:19:10.520
<v Speaker 1>King Oscar the sequel said you win, Yeah, bring me

0:19:10.560 --> 0:19:13.840
<v Speaker 1>another rack of lamb and uh, here's your prize. And

0:19:13.920 --> 0:19:16.600
<v Speaker 1>he won by proving that it was impossible, which is

0:19:16.600 --> 0:19:21.680
<v Speaker 1>pretty interesting. And they utterly and completely changed not just math,

0:19:21.800 --> 0:19:24.199
<v Speaker 1>but like our our our understanding of the universe, and

0:19:24.200 --> 0:19:26.960
<v Speaker 1>our understanding of our understanding of the universe, which is

0:19:27.000 --> 0:19:30.719
<v Speaker 1>even more kind of earth shaking. Yeah, he discovered dynamical

0:19:30.840 --> 0:19:36.119
<v Speaker 1>instability or chaos, and um, they didn't have supercomputers at

0:19:36.119 --> 0:19:38.639
<v Speaker 1>the time, so it would be a little while, about

0:19:38.720 --> 0:19:43.400
<v Speaker 1>seventy years at m I T until uh we could

0:19:43.400 --> 0:19:47.280
<v Speaker 1>actually kind of feed these things into machines capable of

0:19:47.680 --> 0:19:50.280
<v Speaker 1>plotting these things out in a way that we could see,

0:19:50.600 --> 0:19:54.440
<v Speaker 1>which was really incredible. So there is this dude um

0:19:54.600 --> 0:20:01.800
<v Speaker 1>seven years later, uh named um Edward Lawrence Lawrence. Yeah. Well,

0:20:01.840 --> 0:20:03.879
<v Speaker 1>first of all, we should set the stage the reason

0:20:03.960 --> 0:20:08.040
<v Speaker 1>this guy he was a meteorologist and scientists, right, not

0:20:08.119 --> 0:20:11.119
<v Speaker 1>that those are not the same thing, right, He's a

0:20:11.160 --> 0:20:15.960
<v Speaker 1>scientist who dabbled the meteorology. Here was a mathematician, Yeah,

0:20:15.960 --> 0:20:18.720
<v Speaker 1>but he was really into meteorology because it was there

0:20:18.760 --> 0:20:22.440
<v Speaker 1>was a weird juxtaposition at the time where we were

0:20:22.560 --> 0:20:25.880
<v Speaker 1>sending people into outer space but we couldn't predict the weather. Yeah,

0:20:25.920 --> 0:20:28.640
<v Speaker 1>and it was it was definitely a blot on the

0:20:28.680 --> 0:20:31.479
<v Speaker 1>field of meteorology. People were like, do you guys know

0:20:31.520 --> 0:20:35.000
<v Speaker 1>what you're doing? And and meteorologists are like, you have

0:20:35.080 --> 0:20:38.280
<v Speaker 1>no idea how hard this is? Like yeah, we can

0:20:38.320 --> 0:20:40.160
<v Speaker 1>predict it a couple of days out, but after that,

0:20:40.400 --> 0:20:44.280
<v Speaker 1>it's just it's totally unpredictable. It drives as mad and

0:20:44.520 --> 0:20:47.960
<v Speaker 1>it's not. It wasn't just there. Um, their reputations that

0:20:47.960 --> 0:20:50.200
<v Speaker 1>were at stake, like people were losing their lives because

0:20:50.200 --> 0:20:53.640
<v Speaker 1>of it, right, Yeah. N two there were two notorious storms,

0:20:53.760 --> 0:20:56.000
<v Speaker 1>one on the East coast and one on the west. Uh,

0:20:56.040 --> 0:20:58.280
<v Speaker 1>the ash Wednesday storm in the East and the big

0:20:58.320 --> 0:21:00.680
<v Speaker 1>blow on the West that of a lot of people,

0:21:00.840 --> 0:21:04.639
<v Speaker 1>cost hundreds of millions of dollars in damage. And people

0:21:04.640 --> 0:21:05.879
<v Speaker 1>were like, you know, we need to be able to

0:21:05.920 --> 0:21:09.200
<v Speaker 1>see these things coming a little more because it's a problem.

0:21:09.280 --> 0:21:11.600
<v Speaker 1>And meteorologists were like, why did you do it then?

0:21:13.920 --> 0:21:17.359
<v Speaker 1>So they thought the key was these big supercomputers. Remember

0:21:17.400 --> 0:21:20.640
<v Speaker 1>the supercomputers. When they came out the big rooms full

0:21:20.720 --> 0:21:24.480
<v Speaker 1>of hardware, it was amazing, and they were finally able

0:21:24.520 --> 0:21:27.040
<v Speaker 1>to do like these incredible calculations that we could never

0:21:27.040 --> 0:21:29.040
<v Speaker 1>do before. I know, they were able to like crunch

0:21:29.119 --> 0:21:32.040
<v Speaker 1>sixty four bites a second. Yeah, we had the advocates

0:21:32.160 --> 0:21:36.080
<v Speaker 1>and then the supercomputer. There was nothing in between. Um.

0:21:36.119 --> 0:21:38.919
<v Speaker 1>I looked up the computer that Lawrence was working with

0:21:39.080 --> 0:21:42.719
<v Speaker 1>the Whopper Royal McBee. What was the Whopper board games?

0:21:43.359 --> 0:21:47.000
<v Speaker 1>Was it? It called the Whopper w a PR I

0:21:47.040 --> 0:21:49.960
<v Speaker 1>can't believe they called it that. So the guy just

0:21:50.119 --> 0:21:57.560
<v Speaker 1>nicknamed it Joshua. No, Joshua was the the software Falcon

0:21:57.760 --> 0:22:00.159
<v Speaker 1>was the old man who designed all the stuff up

0:22:00.160 --> 0:22:03.360
<v Speaker 1>and his son was Joshua. And that was the password. Oh,

0:22:03.400 --> 0:22:06.280
<v Speaker 1>that was the password. Yeah, I guess I was too

0:22:06.320 --> 0:22:09.400
<v Speaker 1>young to understand what a password was. Okay, you didn't

0:22:09.400 --> 0:22:12.840
<v Speaker 1>even there weren't passwords at the time. Shouted it at

0:22:12.880 --> 0:22:16.800
<v Speaker 1>the computer and they're like, okay, access granted. Yeah. Still

0:22:16.960 --> 0:22:20.400
<v Speaker 1>that movie holds up. Does it really check it out? Yeah,

0:22:20.400 --> 0:22:23.719
<v Speaker 1>it's still very very fun. Young Ali Sheety boy had

0:22:23.720 --> 0:22:26.520
<v Speaker 1>a crush on her from that movie. She was great. Yeah.

0:22:26.720 --> 0:22:30.440
<v Speaker 1>What else was she in recently? Wasn't she in something? Well?

0:22:30.480 --> 0:22:32.520
<v Speaker 1>I mean she kind of went away for a while

0:22:32.800 --> 0:22:35.480
<v Speaker 1>and then had her big comeback with the indie movie

0:22:35.560 --> 0:22:38.679
<v Speaker 1>High Art, But that was a while ago. Has she

0:22:38.760 --> 0:22:42.160
<v Speaker 1>been in anything else recently? Sure? I think I saw

0:22:42.520 --> 0:22:45.200
<v Speaker 1>something and something recently and I didn't realize that was her.

0:22:46.160 --> 0:22:48.639
<v Speaker 1>She looks familiar and I was like, oh, that's Ali Sheety.

0:22:50.560 --> 0:22:53.000
<v Speaker 1>I don't know, all right, I could look it up,

0:22:53.000 --> 0:22:55.960
<v Speaker 1>but I won't. It doesn't matter anyway. I still crushed

0:22:56.000 --> 0:23:00.879
<v Speaker 1>on her. So the the Royal mcbeebe was not quite

0:23:00.920 --> 0:23:03.080
<v Speaker 1>the whopper. You could actually sit down at it. The

0:23:03.160 --> 0:23:05.359
<v Speaker 1>Royal McBee that's the name of that sounds like a

0:23:05.359 --> 0:23:10.040
<v Speaker 1>hamburger too. It was by the Royal Typewriter Company. And

0:23:10.080 --> 0:23:12.840
<v Speaker 1>they got into computers for a second. And this is

0:23:12.920 --> 0:23:16.080
<v Speaker 1>the kind of computer that Lawrence was working with, and

0:23:16.280 --> 0:23:21.760
<v Speaker 1>it was a huge deal, Like you were saying, Avacus supercomputer. Um.

0:23:21.800 --> 0:23:25.200
<v Speaker 1>But it was still pretty dumb as far as what

0:23:25.240 --> 0:23:27.560
<v Speaker 1>we have today is concerned. But it was enough that

0:23:27.640 --> 0:23:31.000
<v Speaker 1>Lawrence is like Lawrence and his ILK, where like, finally

0:23:31.400 --> 0:23:35.320
<v Speaker 1>we can start running models and actually predict the weather. Yeah,

0:23:35.480 --> 0:23:38.360
<v Speaker 1>he started doing just that. He did. So he started

0:23:38.400 --> 0:23:44.240
<v Speaker 1>off with UM, a computational model of twelve meteorological meteorological

0:23:44.560 --> 0:23:48.280
<v Speaker 1>I like how you calculations, which is very basic because

0:23:48.320 --> 0:23:53.480
<v Speaker 1>they're infinite meteorological calculations, probably depending to stay wrong again,

0:23:54.320 --> 0:23:56.520
<v Speaker 1>like it sounds like you're about to say it wrong

0:23:56.560 --> 0:23:58.199
<v Speaker 1>and then you pull it out at the last second.

0:23:58.240 --> 0:24:01.520
<v Speaker 1>Maybe it's really impressive, but uh so that's very basic.

0:24:01.560 --> 0:24:03.879
<v Speaker 1>But he wanted to start out you know with something

0:24:03.920 --> 0:24:06.840
<v Speaker 1>at Hannibal. So he narrowed it down to twelve conditions,

0:24:06.880 --> 0:24:11.920
<v Speaker 1>basically twelve calculations that had you know, temperature, wind, speed, pressure,

0:24:12.160 --> 0:24:16.720
<v Speaker 1>stuff like that started forecasting weather. Uh. And then he said,

0:24:16.720 --> 0:24:18.199
<v Speaker 1>you know, it'd be great if you could see this,

0:24:18.960 --> 0:24:21.919
<v Speaker 1>So I'm gonna spit it into my wonder machine, the

0:24:22.000 --> 0:24:27.280
<v Speaker 1>McWhopper Royal MCB, and I'm gonna get a print out

0:24:27.840 --> 0:24:31.120
<v Speaker 1>so you can visualize what this looks like. So things

0:24:31.119 --> 0:24:32.520
<v Speaker 1>were going well and you had this print out, and

0:24:32.560 --> 0:24:36.439
<v Speaker 1>everyone was amazed because these these calculations never seemed to

0:24:36.920 --> 0:24:42.560
<v Speaker 1>repeat themselves. He was making like, um, like like word art.

0:24:43.080 --> 0:24:45.320
<v Speaker 1>You remember that. That was the first thing anybody did

0:24:45.320 --> 0:24:47.520
<v Speaker 1>on a computer. Oh yeah, it was to make word

0:24:47.600 --> 0:24:50.760
<v Speaker 1>art like a butterfly, right you would print out. Yeah.

0:24:50.840 --> 0:24:53.600
<v Speaker 1>I never could do that. I couldn't either, Like you

0:24:53.640 --> 0:24:56.639
<v Speaker 1>have to be able to visualize things spatially that you

0:24:56.680 --> 0:24:59.240
<v Speaker 1>have to that right kind of brain for that, right

0:24:59.320 --> 0:25:01.080
<v Speaker 1>or you have to be following a guy book that

0:25:01.400 --> 0:25:06.280
<v Speaker 1>you have you ever seen? Me? You and everyone we know. Yeah,

0:25:06.320 --> 0:25:08.520
<v Speaker 1>I love that movie. That's a great movie. Those little

0:25:08.560 --> 0:25:12.600
<v Speaker 1>kids in there they were doing that. Oh yeah, yeah, forever,

0:25:13.160 --> 0:25:15.640
<v Speaker 1>back and forth, poop. Well, I haven't. I haven't seen

0:25:15.640 --> 0:25:17.240
<v Speaker 1>that since it came out. It's been a while. Oh

0:25:17.280 --> 0:25:21.000
<v Speaker 1>you gotta see it again? Yeah, great movie. Ali's not

0:25:21.119 --> 0:25:24.119
<v Speaker 1>in it. It's a Miranda July right, and she like

0:25:24.160 --> 0:25:26.160
<v Speaker 1>wrote and directed to right. She did a great job.

0:25:26.800 --> 0:25:30.200
<v Speaker 1>It's like it's one of those rare movies where like

0:25:31.359 --> 0:25:34.919
<v Speaker 1>there's just the right amount of whimsy, because whimsy so

0:25:35.040 --> 0:25:40.239
<v Speaker 1>easily overpowers everything else and becomes like, yeah, this is

0:25:40.280 --> 0:25:43.360
<v Speaker 1>like the most perfectly balanced amount of like whimsy you've

0:25:43.400 --> 0:25:45.640
<v Speaker 1>ever seen in a movie. Yeah, there's too much whimsy.

0:25:45.720 --> 0:25:47.879
<v Speaker 1>I just like terrible Garden State. I just want to

0:25:47.920 --> 0:25:50.840
<v Speaker 1>punch in the face terrible. Although I like Garden State,

0:25:50.880 --> 0:25:52.560
<v Speaker 1>but I haven't seen it since it came out. It

0:25:52.640 --> 0:25:55.520
<v Speaker 1>hasn't aged. Well, it's just when you look at it now,

0:25:55.520 --> 0:25:58.399
<v Speaker 1>it's just so cute and whimsical. Oh yeah, it's like

0:25:58.720 --> 0:26:03.040
<v Speaker 1>come on, yeah, boy, we're getting to a lot of

0:26:03.080 --> 0:26:06.480
<v Speaker 1>movies today. Oh yeah, well we're stalling. We haven't even

0:26:06.520 --> 0:26:10.280
<v Speaker 1>talked about butterfly Effect yet, which is coming and I'm

0:26:10.359 --> 0:26:13.840
<v Speaker 1>dreading it. That's why I'm stalling. All right, So where

0:26:13.840 --> 0:26:17.399
<v Speaker 1>were we? He was running his calculations, printing out his

0:26:17.520 --> 0:26:21.520
<v Speaker 1>values so people could see it, and then he got

0:26:21.520 --> 0:26:26.840
<v Speaker 1>a little lazy one day. In this output he noticed

0:26:27.080 --> 0:26:29.639
<v Speaker 1>was interesting, so he said, you know, I'm gonna repeat

0:26:29.640 --> 0:26:33.600
<v Speaker 1>this calculation see it again, but I'm gonna save time.

0:26:33.880 --> 0:26:35.439
<v Speaker 1>I'm just gonna kind of pick up in the middle,

0:26:36.600 --> 0:26:40.160
<v Speaker 1>and I'm not gonna input as many numbers, but I'm

0:26:40.160 --> 0:26:43.040
<v Speaker 1>still using the same values, just I'm not going out

0:26:43.080 --> 0:26:45.800
<v Speaker 1>to six decimal points. So the print out he had

0:26:46.160 --> 0:26:49.080
<v Speaker 1>went to three decimal points. So he was working from

0:26:49.119 --> 0:26:51.600
<v Speaker 1>the print out and didn't take into account that the

0:26:51.640 --> 0:26:54.800
<v Speaker 1>computer accepted six decimal points, so he was just getting

0:26:54.840 --> 0:26:57.399
<v Speaker 1>in three correct and expecting that the outcome would be

0:26:57.400 --> 0:26:59.480
<v Speaker 1>the same, right, yes, but the outcome was way different.

0:27:00.040 --> 0:27:04.760
<v Speaker 1>He went, whoa, whoa what? Yeah, he's like, what's going

0:27:04.840 --> 0:27:08.080
<v Speaker 1>on here? It was a big deal. I mean, someone

0:27:08.080 --> 0:27:10.399
<v Speaker 1>would have come up with this eventually, probably, yeah, but

0:27:10.359 --> 0:27:12.720
<v Speaker 1>I sort of accidentally came upon it. It's neat that

0:27:12.800 --> 0:27:15.520
<v Speaker 1>this guy did this because it changed his career. I

0:27:15.560 --> 0:27:19.320
<v Speaker 1>think he went from emphasis on meteorology to an emphasis

0:27:19.359 --> 0:27:24.400
<v Speaker 1>on chaos math to stud scientists basically. So look, I mean,

0:27:24.400 --> 0:27:26.800
<v Speaker 1>the guy's got an attractor named after him, you know

0:27:26.800 --> 0:27:29.399
<v Speaker 1>what I mean. Yeah, Well, let's get to that. So

0:27:29.920 --> 0:27:32.840
<v Speaker 1>Lorenz starts looking at this and he's like, wait a minute,

0:27:32.840 --> 0:27:36.080
<v Speaker 1>this is this is weird, this is worth investigating, and

0:27:36.240 --> 0:27:41.240
<v Speaker 1>like uh, like uh, what was his name? Plankara? He said,

0:27:41.480 --> 0:27:44.120
<v Speaker 1>I need fewer variables, So I'm not going to try

0:27:44.160 --> 0:27:48.720
<v Speaker 1>to predict weather with these twelve differential equations that you

0:27:48.760 --> 0:27:52.680
<v Speaker 1>have to take into Account'm just gonna take one aspect

0:27:52.760 --> 0:27:56.160
<v Speaker 1>of weather called the rolling convection current, and I'm going

0:27:56.240 --> 0:27:59.840
<v Speaker 1>to see how I can write it down in formula form.

0:28:00.160 --> 0:28:03.480
<v Speaker 1>So a rolling convection current, chuck, is where you know,

0:28:03.480 --> 0:28:07.520
<v Speaker 1>how the wind is created where air at the surface

0:28:08.359 --> 0:28:12.520
<v Speaker 1>is heated and then starts to rise and suddenly cool

0:28:12.600 --> 0:28:15.720
<v Speaker 1>air from higher above comes in to fill that that

0:28:15.800 --> 0:28:20.520
<v Speaker 1>vacuum that's left, and that creates a rolling um or

0:28:20.840 --> 0:28:25.080
<v Speaker 1>vertically based convection current. Okay you could. I would describe

0:28:25.080 --> 0:28:30.080
<v Speaker 1>it as oven oven boiling water, a cup of coffee.

0:28:30.359 --> 0:28:35.640
<v Speaker 1>Wherever there's a temperature differential based on a vertical alignment,

0:28:35.880 --> 0:28:39.200
<v Speaker 1>you're going to have a rolling convection current. Okay, yeah,

0:28:39.240 --> 0:28:42.360
<v Speaker 1>it sounds complex, but he just picked out one thing, basically,

0:28:42.360 --> 0:28:44.720
<v Speaker 1>one condition, and this is the one he picked out.

0:28:44.760 --> 0:28:48.040
<v Speaker 1>But had you seen my hands moving listeners, you would

0:28:48.040 --> 0:28:53.560
<v Speaker 1>be like, oh, yeah, I know. So um He's like, okay,

0:28:53.600 --> 0:28:55.320
<v Speaker 1>I can figure this out. So he comes up with

0:28:55.400 --> 0:29:00.680
<v Speaker 1>three three formula that kind of describe a rolling invection current,

0:29:01.040 --> 0:29:05.880
<v Speaker 1>and he starts trying to figure out how to describe

0:29:05.920 --> 0:29:09.680
<v Speaker 1>this rolling convection current. Right, and so, like I said,

0:29:09.680 --> 0:29:12.240
<v Speaker 1>he got this these three formula, which we're basically three

0:29:12.320 --> 0:29:15.520
<v Speaker 1>variables that he calculated over time, and he plugged him

0:29:15.520 --> 0:29:19.200
<v Speaker 1>in and he found three variables that changed over time.

0:29:19.720 --> 0:29:22.320
<v Speaker 1>And he found that after a certain point, when you

0:29:22.560 --> 0:29:25.200
<v Speaker 1>graph these things out, and since there're three, you graph

0:29:25.280 --> 0:29:28.520
<v Speaker 1>them out on a three dimensional graph. So x, Y

0:29:28.560 --> 0:29:30.360
<v Speaker 1>and Z. Again, he wanted to just be able to

0:29:30.400 --> 0:29:33.400
<v Speaker 1>visualize this because it's easier for people to understand. He

0:29:33.440 --> 0:29:35.840
<v Speaker 1>was a very visual guy. All of a sudden, it

0:29:35.920 --> 0:29:40.400
<v Speaker 1>made this crazy graph that where the the line as

0:29:40.440 --> 0:29:43.440
<v Speaker 1>it progressed forward through time, went all over the place.

0:29:43.480 --> 0:29:45.760
<v Speaker 1>It went from this access to another access to the

0:29:45.840 --> 0:29:48.680
<v Speaker 1>other axis, and it would spend some time over here,

0:29:48.720 --> 0:29:51.000
<v Speaker 1>and then it would suddenly loop over to the other one,

0:29:51.040 --> 0:29:55.080
<v Speaker 1>and it followed no rhyme or reason. It never retraced

0:29:55.120 --> 0:30:00.240
<v Speaker 1>its path. And it was describing how a convey action

0:30:00.320 --> 0:30:04.920
<v Speaker 1>current changes over time, right, and Lorenz is looking at this,

0:30:06.000 --> 0:30:10.120
<v Speaker 1>he was expecting these three things to equalize and eventually

0:30:10.160 --> 0:30:13.680
<v Speaker 1>form a line, because that's what determinism says, things are

0:30:13.720 --> 0:30:16.960
<v Speaker 1>going to fall into a certain amount of equilibrium and

0:30:17.040 --> 0:30:19.760
<v Speaker 1>just even out over time. That is not what he

0:30:19.800 --> 0:30:22.880
<v Speaker 1>found now, And what he discovered was what pan quar

0:30:23.000 --> 0:30:29.000
<v Speaker 1>A discovered, which was that some systems, even relatively simple systems,

0:30:29.400 --> 0:30:35.320
<v Speaker 1>exhibit very complex, unpredictable behavior, which you could call chaos. Yeah.

0:30:35.360 --> 0:30:37.719
<v Speaker 1>And when you say things were going all over like

0:30:37.760 --> 0:30:40.200
<v Speaker 1>if you look at the graph, it it's not just

0:30:40.320 --> 0:30:43.720
<v Speaker 1>lines going in straight lines bouncing all over the place randomly,

0:30:43.800 --> 0:30:46.920
<v Speaker 1>like there was an order to it, but the lines

0:30:46.960 --> 0:30:49.360
<v Speaker 1>were not on top of one another. Like let's say

0:30:49.360 --> 0:30:52.160
<v Speaker 1>you draw a figure eight with your pencil, and then

0:30:52.200 --> 0:30:55.360
<v Speaker 1>you continue drawing that figure eight, it's gonna slip outside

0:30:55.400 --> 0:31:00.640
<v Speaker 1>those curves every time unless you're a robot. Um. And

0:31:00.680 --> 0:31:02.600
<v Speaker 1>that's what it ended up looking like. Yeah, yeah, it

0:31:02.680 --> 0:31:07.360
<v Speaker 1>never retraced the same path twice ever. Um. It had

0:31:07.400 --> 0:31:10.640
<v Speaker 1>a lot of really surprising properties, and at the time

0:31:11.000 --> 0:31:14.840
<v Speaker 1>it just fell completely outside the understanding of science, right. Yeah.

0:31:15.280 --> 0:31:18.520
<v Speaker 1>Luckily this happened to Lawrence, who was curious enough to

0:31:18.520 --> 0:31:21.640
<v Speaker 1>be like, what is going on here? And again he

0:31:21.720 --> 0:31:23.760
<v Speaker 1>sat down and started to do the math and thinking

0:31:23.760 --> 0:31:26.680
<v Speaker 1>about this and especially how it applied to the weather right,

0:31:27.720 --> 0:31:31.400
<v Speaker 1>and he came up with something very famous. Yes, the

0:31:31.440 --> 0:31:36.840
<v Speaker 1>butterfly effect. Yes, uh a, this thing kind of looked

0:31:36.880 --> 0:31:40.160
<v Speaker 1>like butterfly wings a little bit, uh and be When

0:31:40.200 --> 0:31:44.280
<v Speaker 1>he went to present his findings, he basically had the

0:31:44.320 --> 0:31:46.920
<v Speaker 1>notion He's like, I'm gonna I'm gonna wile these people

0:31:47.080 --> 0:31:50.520
<v Speaker 1>in the crowd in No, it's a conference that I'm

0:31:50.520 --> 0:31:53.440
<v Speaker 1>going to and I'm gonna I'm gonna say something like,

0:31:53.480 --> 0:31:56.160
<v Speaker 1>you know, the seagull flaps his wings and it starts

0:31:56.160 --> 0:31:59.360
<v Speaker 1>a small turbulence that can one that can affect whether

0:31:59.400 --> 0:32:02.160
<v Speaker 1>on the other side the world, the small little thing

0:32:02.160 --> 0:32:05.800
<v Speaker 1>will just grow and grow in snowball and effective things.

0:32:05.840 --> 0:32:09.920
<v Speaker 1>And he had a colleague goes like, seagull wings, that's nice,

0:32:10.720 --> 0:32:12.720
<v Speaker 1>and he said, how about this, and this is the title.

0:32:12.760 --> 0:32:16.600
<v Speaker 1>They ended up with, predictability Colin does the flap of

0:32:16.640 --> 0:32:20.120
<v Speaker 1>a butterfly's wings in Brazil set off a tornado and

0:32:20.200 --> 0:32:27.280
<v Speaker 1>Texas and everyone was like, WHOA mind's blown? Should we

0:32:27.280 --> 0:32:46.920
<v Speaker 1>take a break? All right, We'll be right back, all right.

0:32:47.040 --> 0:32:53.400
<v Speaker 1>So the lawns attractor. Uh, is that picture that he

0:32:53.520 --> 0:33:00.320
<v Speaker 1>ended up with? The Laurens attractor? And this biblical pattern

0:33:00.440 --> 0:33:05.760
<v Speaker 1>website that I found described attractors and strange attractors in

0:33:05.760 --> 0:33:09.600
<v Speaker 1>a way that even dumb old me could understand. So

0:33:09.640 --> 0:33:13.400
<v Speaker 1>if I may, he says, all right, here's the cycle

0:33:13.440 --> 0:33:18.360
<v Speaker 1>of chaos. He said, Actually, I don't know who wrote this.

0:33:19.520 --> 0:33:21.600
<v Speaker 1>A woman could have been a small child, could have

0:33:21.600 --> 0:33:25.200
<v Speaker 1>been no of undetermined gender. I have no idea. So

0:33:25.400 --> 0:33:30.120
<v Speaker 1>the gender neutral narrator, they said, he's sorry. I think

0:33:30.120 --> 0:33:33.640
<v Speaker 1>about a town that has like ten thousand people living

0:33:33.640 --> 0:33:36.680
<v Speaker 1>in it. To make that town work, you gotta have

0:33:36.720 --> 0:33:41.520
<v Speaker 1>like a gas station, a grocery store, a library, um,

0:33:41.680 --> 0:33:44.800
<v Speaker 1>whatever you need to sustain that town. So all these

0:33:44.840 --> 0:33:48.640
<v Speaker 1>things are built, everyone's happy. You have equilibrium, he said.

0:33:48.720 --> 0:33:52.440
<v Speaker 1>So that's great. Then let's say you build some Someone

0:33:52.560 --> 0:33:55.640
<v Speaker 1>comes and build a factory on the outskirts of that town,

0:33:56.000 --> 0:33:58.000
<v Speaker 1>and there's gonna be ten thousand more people living there

0:33:58.320 --> 0:34:02.800
<v Speaker 1>and they don't go to church. Maybe so, uh, did

0:34:02.800 --> 0:34:05.480
<v Speaker 1>I say church? They needed a church? Okay? I was

0:34:05.520 --> 0:34:09.600
<v Speaker 1>just assuming this is what's called no. But you just

0:34:09.640 --> 0:34:12.560
<v Speaker 1>have more people. So there's you need another gas station

0:34:12.600 --> 0:34:15.400
<v Speaker 1>and another grocery store. Let's say, so they build all

0:34:15.400 --> 0:34:20.080
<v Speaker 1>these things, and then you reach equilibrium. Again, it's maintained

0:34:20.120 --> 0:34:24.200
<v Speaker 1>because you build all these other systems up. That equilibrium

0:34:24.320 --> 0:34:29.320
<v Speaker 1>is called an attractor. Okay, so then he said it's said,

0:34:30.040 --> 0:34:37.880
<v Speaker 1>they said he capital he the royal. He said, all right, now,

0:34:37.960 --> 0:34:40.960
<v Speaker 1>let's say instead of that that factory being built, and

0:34:41.080 --> 0:34:42.920
<v Speaker 1>you have those original tin bowls, and let's say three

0:34:42.920 --> 0:34:46.200
<v Speaker 1>thousand those people just up and leave one day, and

0:34:46.239 --> 0:34:49.120
<v Speaker 1>the grocery store guy says, well, there's only seven thousand

0:34:49.120 --> 0:34:51.200
<v Speaker 1>people here. We need eight thousand people living here to

0:34:51.200 --> 0:34:54.439
<v Speaker 1>to make a profit. So I'm shutting down this grocery store.

0:34:55.760 --> 0:34:58.319
<v Speaker 1>Then all of a sudden, you have demand for groceries.

0:34:59.239 --> 0:35:00.919
<v Speaker 1>So things go on a little while, and someone comes

0:35:00.920 --> 0:35:02.560
<v Speaker 1>in and say, hey, this town needs a grocery store.

0:35:02.719 --> 0:35:06.439
<v Speaker 1>They build a grocery store, they can't sustain, they shut down.

0:35:06.560 --> 0:35:09.360
<v Speaker 1>Someone else comes along because the demand and it is

0:35:09.440 --> 0:35:15.360
<v Speaker 1>this search for equilibrium, this dyna Well, you reach equal

0:35:15.480 --> 0:35:19.560
<v Speaker 1>delibrium here and there as the store opens, periods of stability,

0:35:19.640 --> 0:35:24.239
<v Speaker 1>periods of stability, and that dynamic equilibrium is called a

0:35:24.320 --> 0:35:28.279
<v Speaker 1>strange attractor. So, an attractor is the state which a

0:35:28.400 --> 0:35:33.399
<v Speaker 1>system settles on. Stranger attractor is the trajectory on which

0:35:33.440 --> 0:35:37.359
<v Speaker 1>it never settles down but tries to reach the equilibrium

0:35:37.400 --> 0:35:40.960
<v Speaker 1>with periods of stability. Does that make sense that Bible

0:35:41.000 --> 0:35:45.600
<v Speaker 1>based explanation was dynamite. I understand it better than I

0:35:45.640 --> 0:35:49.919
<v Speaker 1>did before, and I understood it okay before. That's great.

0:35:50.040 --> 0:35:55.040
<v Speaker 1>Surely can add yeah, yeah, now you're gonna add to it. No,

0:35:55.239 --> 0:35:59.040
<v Speaker 1>that's it, No, I mean like it. Yeah. An attractor

0:35:59.160 --> 0:36:03.160
<v Speaker 1>is where if you raft something and eventually it reaches equilibrium,

0:36:03.160 --> 0:36:06.600
<v Speaker 1>it's a regular attractor. If it never reaches equilibrium, is

0:36:06.640 --> 0:36:09.600
<v Speaker 1>constantly trying to and has periods of stability. Strange attractor.

0:36:09.840 --> 0:36:13.040
<v Speaker 1>I can't. I can't top that, alright, grocery store, small town.

0:36:13.120 --> 0:36:16.840
<v Speaker 1>That was great. So um Lorenz, a strange attractor was

0:36:16.960 --> 0:36:20.279
<v Speaker 1>named a Lorenz attractor named after him. Big deal. They

0:36:20.280 --> 0:36:24.080
<v Speaker 1>weren't using the word chaos yet. No. But he published

0:36:24.120 --> 0:36:28.120
<v Speaker 1>that paper about butterfly wings, right, the butterfly effect, and

0:36:28.800 --> 0:36:32.440
<v Speaker 1>it coupled with his pictures the picture of a strange attractor,

0:36:32.480 --> 0:36:38.720
<v Speaker 1>which is almost the aside from fractals, almost the the

0:36:38.719 --> 0:36:42.920
<v Speaker 1>the um emblem or the logo for chaos theory. The

0:36:42.960 --> 0:36:47.160
<v Speaker 1>Laurens attractor is um. It got attention off the bat.

0:36:47.200 --> 0:36:50.000
<v Speaker 1>It wasn't like plan cares findings where he got neglected

0:36:50.040 --> 0:36:53.319
<v Speaker 1>for seventy years. Almost immediately everybody was talking about this

0:36:53.640 --> 0:36:56.520
<v Speaker 1>because again, what Lorenz had uncovered, which is the same

0:36:56.560 --> 0:36:59.840
<v Speaker 1>thing that plan Care had uncovered, is that determinism is

0:37:00.080 --> 0:37:05.240
<v Speaker 1>possibly based on an illusion that the universe isn't stable,

0:37:05.280 --> 0:37:07.680
<v Speaker 1>that the universe isn't predictable, and that what we are

0:37:07.680 --> 0:37:12.440
<v Speaker 1>seeing as stable and predictable are these little periods windows

0:37:12.480 --> 0:37:16.600
<v Speaker 1>of stability that are found in strange attractor graphs, that

0:37:16.600 --> 0:37:18.680
<v Speaker 1>that's what we think the order of the universe is,

0:37:18.800 --> 0:37:23.760
<v Speaker 1>but that that is actually the abnormal aspect of the universe,

0:37:23.920 --> 0:37:28.440
<v Speaker 1>and that instability unpredictability, as far as we're concerned, is

0:37:28.520 --> 0:37:32.080
<v Speaker 1>the actual state of affairs in in nature. And I

0:37:32.120 --> 0:37:34.640
<v Speaker 1>think as far as we're concerned, is a really important

0:37:34.680 --> 0:37:39.719
<v Speaker 1>point to Chuck, because it doesn't mean that nature is

0:37:39.920 --> 0:37:45.160
<v Speaker 1>unstable chaotic. It means that our picture of what we

0:37:45.400 --> 0:37:50.440
<v Speaker 1>understand as order doesn't jibe with how the universe actually functions.

0:37:51.120 --> 0:37:54.360
<v Speaker 1>It's just our understanding of it, and we're's just so

0:37:54.560 --> 0:37:59.040
<v Speaker 1>um anthropocentric that you know, we we see it as

0:37:59.120 --> 0:38:01.759
<v Speaker 1>chaos and disorder and something to be feared, when really

0:38:01.800 --> 0:38:05.920
<v Speaker 1>it's just complexity that we don't have the capability of

0:38:05.920 --> 0:38:10.040
<v Speaker 1>predicting after a certain degree. Yeah, I think that makes

0:38:10.040 --> 0:38:11.960
<v Speaker 1>me feel a little better, because when you read stuff

0:38:12.000 --> 0:38:14.799
<v Speaker 1>like this, you start to feel like, well, the Earth

0:38:14.800 --> 0:38:17.440
<v Speaker 1>could just throw us all off of its face at

0:38:17.480 --> 0:38:21.200
<v Speaker 1>any moment because it starts spinning so fast that gravity

0:38:21.239 --> 0:38:23.439
<v Speaker 1>becomes undone. And I know that's not right. By the way,

0:38:23.520 --> 0:38:26.480
<v Speaker 1>I've always loved that kind of science that shows we

0:38:26.600 --> 0:38:30.160
<v Speaker 1>don't know anything. Like Robert Hume, who I know, I

0:38:30.239 --> 0:38:33.800
<v Speaker 1>understand was a philosopher, but he was a philosopher scientist. Um.

0:38:33.840 --> 0:38:36.400
<v Speaker 1>His whole jam was like causing effect as an illusion

0:38:37.080 --> 0:38:39.920
<v Speaker 1>that like we all we it's it's just an assumption,

0:38:40.040 --> 0:38:42.440
<v Speaker 1>like that if you drop a pencil, it will always

0:38:42.440 --> 0:38:44.880
<v Speaker 1>fall down, and it's an illusion. And this is pretty

0:38:45.200 --> 0:38:49.080
<v Speaker 1>um gravity understanding gravity. But he makes a good pet

0:38:49.120 --> 0:38:52.760
<v Speaker 1>gravity when everyone's just floating around. Yeah, going this pencils

0:38:52.920 --> 0:38:55.799
<v Speaker 1>got me wacky. But but the point was that you know,

0:38:55.920 --> 0:38:59.680
<v Speaker 1>we we are. We base a lot of our assumptions

0:39:00.400 --> 0:39:02.759
<v Speaker 1>um or a lot of stuff that we take as

0:39:02.960 --> 0:39:06.000
<v Speaker 1>law are actually based on assumptions that are made from

0:39:06.040 --> 0:39:09.360
<v Speaker 1>observations over time, and that we're just making predictions that

0:39:09.520 --> 0:39:12.040
<v Speaker 1>causing effect as an illusion. I love that guy, and

0:39:12.160 --> 0:39:18.000
<v Speaker 1>this this definitely supports that idea for sure. Yeah. Sorry,

0:39:18.000 --> 0:39:21.279
<v Speaker 1>I'm I'm excited about chaos theory. Believe it. Well, I

0:39:21.280 --> 0:39:24.520
<v Speaker 1>mean I like that I'm able to understand it and

0:39:24.760 --> 0:39:27.560
<v Speaker 1>enough of a rudimentary way that I can talk about

0:39:27.560 --> 0:39:31.839
<v Speaker 1>it at a dinner party. Well, thank your Bible website. Well,

0:39:31.880 --> 0:39:35.600
<v Speaker 1>once you take the formulas out for people like us,

0:39:36.000 --> 0:39:39.799
<v Speaker 1>we're like, okay, we can understand chaos. Then when somebody says, good,

0:39:39.840 --> 0:39:45.160
<v Speaker 1>do a differential equation, just like, what a different equation? Right?

0:39:45.480 --> 0:39:47.840
<v Speaker 1>All right? So earlier I said that chaos had not

0:39:47.960 --> 0:39:52.160
<v Speaker 1>been used the word chaos to describe all this junk, uh,

0:39:52.160 --> 0:39:55.240
<v Speaker 1>And that didn't happen until later on and well actually

0:39:56.280 --> 0:39:57.960
<v Speaker 1>about ten years, you know, but it was kind of

0:39:57.960 --> 0:39:59.520
<v Speaker 1>at the same time this other stuff was going on

0:39:59.600 --> 0:40:03.800
<v Speaker 1>with rinds. Yeah, late sixties, early seventies. There was a

0:40:03.800 --> 0:40:08.880
<v Speaker 1>guy named Steven Smile Uh fields metal recipients. So you know,

0:40:08.960 --> 0:40:14.560
<v Speaker 1>he's good at math, and um, he describes something that

0:40:14.600 --> 0:40:18.560
<v Speaker 1>we now know as the small horseshoe, and it goes

0:40:18.600 --> 0:40:23.799
<v Speaker 1>a little something like this. Uh So, all right, take

0:40:23.840 --> 0:40:27.160
<v Speaker 1>a piece of dough with like bread dough, and you

0:40:27.239 --> 0:40:30.759
<v Speaker 1>smash it out into a big flat rectangle. So you're

0:40:30.760 --> 0:40:33.040
<v Speaker 1>looking at that thing and you're like, boy, I hope

0:40:33.080 --> 0:40:35.600
<v Speaker 1>this makes some good bread. This is gonna be so good.

0:40:36.040 --> 0:40:37.960
<v Speaker 1>So then you do a little rosemary on it. Yeah

0:40:38.000 --> 0:40:42.759
<v Speaker 1>maybe so yeah, and then um lick it before you

0:40:42.800 --> 0:40:45.000
<v Speaker 1>bake it, so you know it's yours. No one else

0:40:45.040 --> 0:40:48.759
<v Speaker 1>can happen. Uh So, you you have that flat rectangle

0:40:48.760 --> 0:40:53.239
<v Speaker 1>of dough, you roll it up into a tube, and

0:40:53.239 --> 0:40:55.680
<v Speaker 1>then you smash that down kind of flat, and then

0:40:55.719 --> 0:40:57.960
<v Speaker 1>you bend that down to where it eventually looks like

0:40:57.960 --> 0:41:01.239
<v Speaker 1>a horse shoe. So now how you take that horseshoe.

0:41:01.400 --> 0:41:04.000
<v Speaker 1>You take another rectangle of dough and you throw that

0:41:04.080 --> 0:41:07.359
<v Speaker 1>horseshoe onto that, and then you do the same thing.

0:41:07.880 --> 0:41:12.080
<v Speaker 1>The smell horseshoe basically says you cannot predict where the

0:41:12.200 --> 0:41:16.560
<v Speaker 1>two points of that horseshoe will end up. You can

0:41:16.640 --> 0:41:19.840
<v Speaker 1>roll it a million times and they'll end up in

0:41:19.880 --> 0:41:24.680
<v Speaker 1>a million different places, totally random, different places to totally random.

0:41:24.719 --> 0:41:26.960
<v Speaker 1>You never know. It's like a box of chocolates. You

0:41:27.000 --> 0:41:29.480
<v Speaker 1>never know what you're gonna get. You have to say it,

0:41:29.760 --> 0:41:32.120
<v Speaker 1>and that became known. You have to say it. Oh

0:41:32.320 --> 0:41:35.080
<v Speaker 1>what imitate Forrest Gumps? Now I can't do that. That's fine.

0:41:35.239 --> 0:41:37.839
<v Speaker 1>He's not one. He's not in my repertoire. That's fine.

0:41:38.440 --> 0:41:40.520
<v Speaker 1>Although I did see that again part of it recently.

0:41:41.440 --> 0:41:43.920
<v Speaker 1>Does it hold up well? I mean, take out forty

0:41:43.960 --> 0:41:46.920
<v Speaker 1>minutes of it and it would have been a better movie,

0:41:47.360 --> 0:41:51.960
<v Speaker 1>like all of that coincidence stuff that that and he

0:41:52.080 --> 0:41:54.880
<v Speaker 1>also did the smile t shirt like it was just

0:41:54.960 --> 0:42:00.160
<v Speaker 1>too much, Like he really hammered it too much was

0:42:00.200 --> 0:42:02.239
<v Speaker 1>the basis of the movie. I know. But see it

0:42:02.280 --> 0:42:04.319
<v Speaker 1>again and I guarantee you, like an hour and a

0:42:04.320 --> 0:42:08.799
<v Speaker 1>half into it, you'll be like, I get it. You know.

0:42:08.840 --> 0:42:11.680
<v Speaker 1>It was a good Tom Hanks movie that was overlooked.

0:42:12.239 --> 0:42:16.000
<v Speaker 1>Road to Perdition, Yeah, that was a good one. Great

0:42:16.040 --> 0:42:19.640
<v Speaker 1>Sam Indees. Oh man, that guy is awesome. Yeah, Oh

0:42:19.680 --> 0:42:22.360
<v Speaker 1>what is he gonna do? He might do something he

0:42:22.440 --> 0:42:24.480
<v Speaker 1>did the James bo he did Skyfall. Yeah, yeah, I

0:42:24.480 --> 0:42:26.839
<v Speaker 1>know he's gonna also that last one that wasn't so great.

0:42:27.040 --> 0:42:30.040
<v Speaker 1>He's got a potential project coming up and he would

0:42:30.080 --> 0:42:32.319
<v Speaker 1>be amazing for and I don't remember what it was.

0:42:32.440 --> 0:42:36.719
<v Speaker 1>Did you see Revolutionary Road? Yes? God have it was

0:42:36.840 --> 0:42:40.000
<v Speaker 1>just like, yeah, you want to jump off a bridge

0:42:40.600 --> 0:42:43.600
<v Speaker 1>like every five minutes during that movie. That was hardcore.

0:42:45.040 --> 0:42:46.960
<v Speaker 1>H he did that one too. Huh yeah, And don't

0:42:46.960 --> 0:42:48.960
<v Speaker 1>see that if you're like engaged to be married or

0:42:49.000 --> 0:42:53.040
<v Speaker 1>thinking about it, yeah, or if you're blue already. I'm yeah,

0:42:53.200 --> 0:42:55.359
<v Speaker 1>just take a really good good mood and be like

0:42:55.400 --> 0:42:57.560
<v Speaker 1>I'm sick of being in a good mood, sit down

0:42:57.560 --> 0:43:03.640
<v Speaker 1>and watch Revolutionary Road. Watch Joe Versus of Volcano instead. Uh?

0:43:03.719 --> 0:43:09.120
<v Speaker 1>Where was I smell? Horseshoe? Is what that's called? And? Um?

0:43:09.239 --> 0:43:11.560
<v Speaker 1>That was he was the first person to actually use

0:43:11.600 --> 0:43:14.879
<v Speaker 1>the word chaos. Oh he was? I think so? No? No, No,

0:43:15.280 --> 0:43:18.239
<v Speaker 1>York was Tom York's dad. Yeah, you're right, he wasn't

0:43:18.239 --> 0:43:21.400
<v Speaker 1>the first person York correct. But it's male's horseshoe. Illustrates

0:43:21.440 --> 0:43:24.120
<v Speaker 1>a really good point, Chuck, is it Tom York's dad? No?

0:43:25.520 --> 0:43:30.480
<v Speaker 1>But they're both British, sure, York. Actually one's Australian. No,

0:43:31.080 --> 0:43:36.439
<v Speaker 1>they're British. Um. So those two points, which should which

0:43:36.440 --> 0:43:38.440
<v Speaker 1>started out right by each other and then end up

0:43:38.440 --> 0:43:41.600
<v Speaker 1>in two totally different places. That applies not just a

0:43:41.640 --> 0:43:45.759
<v Speaker 1>bread dough, but also too, things like water molecules that

0:43:45.800 --> 0:43:48.359
<v Speaker 1>are right next to each other at some point and

0:43:48.400 --> 0:43:52.439
<v Speaker 1>then months later they're in two different oceans, even though

0:43:52.560 --> 0:43:54.400
<v Speaker 1>you would assume that they would go through all the

0:43:54.480 --> 0:43:57.319
<v Speaker 1>same motions and everything, but they're not. There's so many

0:43:57.360 --> 0:44:01.319
<v Speaker 1>different variables with things like ocean currents that two water

0:44:01.400 --> 0:44:03.520
<v Speaker 1>molecules that were once side by side end up in

0:44:04.000 --> 0:44:08.120
<v Speaker 1>totally random different places. And that's part of chaos. It's

0:44:08.160 --> 0:44:15.879
<v Speaker 1>basically chaos personified or chaos molecule fied. So we mentioned York.

0:44:16.560 --> 0:44:19.040
<v Speaker 1>Where I was going with that was, Um, there was

0:44:19.080 --> 0:44:24.160
<v Speaker 1>an Australian named Robert May and he was a population biologist.

0:44:24.640 --> 0:44:28.239
<v Speaker 1>So he was using math to model how animal populations

0:44:28.239 --> 0:44:33.000
<v Speaker 1>would change over time, giving certain starting conditions. Uh. So

0:44:33.080 --> 0:44:38.239
<v Speaker 1>he started using uh these equations is differential equations, and

0:44:38.320 --> 0:44:40.320
<v Speaker 1>he came up with a formula known as the logistic

0:44:40.440 --> 0:44:44.840
<v Speaker 1>difference equation that basically enabled him to predict these animal

0:44:44.880 --> 0:44:49.280
<v Speaker 1>populations pretty well. Yeah, and it was working pretty well

0:44:49.360 --> 0:44:53.240
<v Speaker 1>for a while, but he noticed something really really weird, right, Yeah,

0:44:53.520 --> 0:44:57.920
<v Speaker 1>he had this formula. Um, the logistic difference equation is

0:44:57.960 --> 0:45:00.080
<v Speaker 1>the name of it. Sure, Okay, So we had of

0:45:00.120 --> 0:45:04.440
<v Speaker 1>that formula, and he figured out that if you took

0:45:04.440 --> 0:45:07.600
<v Speaker 1>our which in this case was the reproductive rate of

0:45:07.640 --> 0:45:12.080
<v Speaker 1>a animal population, and you pushed it past three, the

0:45:12.160 --> 0:45:16.440
<v Speaker 1>number three, so that meant that the average animal in

0:45:16.480 --> 0:45:21.800
<v Speaker 1>this population of animals had three offspring in its lifetime

0:45:22.320 --> 0:45:25.279
<v Speaker 1>or in a season, whatever. If you pushed the past three,

0:45:25.280 --> 0:45:31.480
<v Speaker 1>all of a sudden, the number of the population would diverge.

0:45:31.560 --> 0:45:33.799
<v Speaker 1>If you pushed it equal to three, actually or more,

0:45:34.520 --> 0:45:38.279
<v Speaker 1>it would diverge, which is weird because a population of

0:45:38.320 --> 0:45:42.160
<v Speaker 1>animals can't be two different numbers, you know, like that

0:45:42.239 --> 0:45:45.680
<v Speaker 1>herd of antelope is not there's not thirty, but there's

0:45:45.719 --> 0:45:48.560
<v Speaker 1>also forty five of them at the same time. That's

0:45:48.560 --> 0:45:51.800
<v Speaker 1>called the superposition, and that has to do with quantum states,

0:45:51.880 --> 0:45:57.160
<v Speaker 1>not herds of antelopes. That was kind of weird. And

0:45:57.160 --> 0:45:58.920
<v Speaker 1>then he found if you pushed it a little further,

0:45:58.960 --> 0:46:02.440
<v Speaker 1>if you made the productive rate like three point oh

0:46:02.480 --> 0:46:05.600
<v Speaker 1>five seven or something like that. I think it was

0:46:05.640 --> 0:46:08.160
<v Speaker 1>a different number, but you just tweaked it a little bit,

0:46:08.160 --> 0:46:11.440
<v Speaker 1>not even to four. We're talking like millions of a

0:46:11.600 --> 0:46:15.800
<v Speaker 1>of a of a degree um, all of a sudden

0:46:15.840 --> 0:46:18.280
<v Speaker 1>it would turn into four so there'd be four different

0:46:18.360 --> 0:46:21.040
<v Speaker 1>numbers for that was the animal population, and then would

0:46:21.080 --> 0:46:23.120
<v Speaker 1>turn into sixteen, and then all of a sudden, after

0:46:23.120 --> 0:46:25.759
<v Speaker 1>a certain point, it would turn into chaos. The number

0:46:25.760 --> 0:46:27.960
<v Speaker 1>would be everything at once, all over the place, just

0:46:28.040 --> 0:46:33.080
<v Speaker 1>totally random numbers that it oscillated between. But in all

0:46:33.160 --> 0:46:36.040
<v Speaker 1>that chaos, there would be periods of stability. Right, you

0:46:36.080 --> 0:46:37.760
<v Speaker 1>push it a little further, and all of a sudden

0:46:37.760 --> 0:46:40.400
<v Speaker 1>it would just go to two again. But beyond that

0:46:40.480 --> 0:46:43.120
<v Speaker 1>it didn't go back to the original two numbers. It

0:46:43.160 --> 0:46:45.000
<v Speaker 1>went to another two. So if you looked at it

0:46:45.040 --> 0:46:48.520
<v Speaker 1>on a graph, it went line divided into two, divided

0:46:48.600 --> 0:46:54.320
<v Speaker 1>into four eight sixteen chaos, two four sixteen sixteen chaos,

0:46:55.120 --> 0:46:58.160
<v Speaker 1>all before you even got to the number four of

0:46:58.280 --> 0:47:02.160
<v Speaker 1>the reproductive right. And he was working with Mr York

0:47:02.520 --> 0:47:04.440
<v Speaker 1>because he was a little confounded, so he was a

0:47:04.480 --> 0:47:08.280
<v Speaker 1>mathematician buddy of his, James Yorke from the University of Maryland,

0:47:08.520 --> 0:47:11.839
<v Speaker 1>so they worked together on this. In the nine they

0:47:11.880 --> 0:47:17.480
<v Speaker 1>co authored a paper called Period three implies Chaos and man,

0:47:17.920 --> 0:47:21.640
<v Speaker 1>finally somebody said the word. I kept thinking it was

0:47:21.680 --> 0:47:24.480
<v Speaker 1>all these other people. Yeah, and the this this paper

0:47:24.520 --> 0:47:29.799
<v Speaker 1>where they first debut the name chaos. Um. They they

0:47:29.960 --> 0:47:34.399
<v Speaker 1>based it. UM. Tom York's Dead based it on Edward

0:47:34.480 --> 0:47:37.160
<v Speaker 1>Lawrences paper. He was like, you know what, I have

0:47:37.280 --> 0:47:39.800
<v Speaker 1>a feeling that has something to do with the Lawrens attractor.

0:47:40.200 --> 0:47:44.400
<v Speaker 1>So that, um, that that provided chaos to the world.

0:47:44.440 --> 0:47:48.440
<v Speaker 1>And it it was the basically the third the third

0:47:48.480 --> 0:47:53.680
<v Speaker 1>time a scientist had said we don't understand the universe

0:47:53.760 --> 0:47:56.960
<v Speaker 1>like we think we do, and determinism is based on

0:47:57.000 --> 0:48:04.040
<v Speaker 1>an illusion of order, a really chaotic universe. And this, uh,

0:48:04.120 --> 0:48:06.480
<v Speaker 1>this established chaos. It took off like a rocket. And

0:48:06.520 --> 0:48:08.719
<v Speaker 1>the eighties and the nineties, you know, as you know

0:48:08.800 --> 0:48:12.480
<v Speaker 1>from Jurassic Park, chaos was everything. Everybody's like, chaos, this

0:48:12.600 --> 0:48:15.799
<v Speaker 1>is totally awesome. It's the new frontier science. And then

0:48:15.800 --> 0:48:18.000
<v Speaker 1>it just went It just went away, And a lot

0:48:18.040 --> 0:48:21.759
<v Speaker 1>of people said, well, it was a little overhyped, but

0:48:21.840 --> 0:48:24.440
<v Speaker 1>I think more than anything, and I think this is

0:48:24.480 --> 0:48:26.600
<v Speaker 1>kind of the current understanding of chaos because it didn't

0:48:26.600 --> 0:48:28.920
<v Speaker 1>actually go away. It became a deeper and deeper field.

0:48:29.120 --> 0:48:34.920
<v Speaker 1>As you'll see, Um, people mistook what chaos meant. It

0:48:35.000 --> 0:48:39.560
<v Speaker 1>wasn't the a new the new type of science. It

0:48:39.600 --> 0:48:42.399
<v Speaker 1>was a new understanding of the universe. It was saying like, yes,

0:48:42.480 --> 0:48:45.319
<v Speaker 1>you can still use new Tony in physics, like don't

0:48:45.360 --> 0:48:47.799
<v Speaker 1>throw everything out the window. You can still try and

0:48:47.840 --> 0:48:50.360
<v Speaker 1>predict weather and still try and build more accurate instruments

0:48:50.800 --> 0:48:54.560
<v Speaker 1>and get you know, decent results. But you can't with

0:48:54.719 --> 0:49:01.480
<v Speaker 1>absolute perfection. Complex systems like determinism. The the ultimate goal

0:49:01.520 --> 0:49:05.080
<v Speaker 1>of determinism is false. It can never be it can

0:49:05.120 --> 0:49:07.920
<v Speaker 1>never be done because we can't have an infinitely precise

0:49:07.920 --> 0:49:11.200
<v Speaker 1>measurement for every variable or any variable. Therefore, we can't

0:49:11.200 --> 0:49:14.239
<v Speaker 1>predict these outcomes. Right, So you would expect science to

0:49:14.280 --> 0:49:18.640
<v Speaker 1>be like, what's the point, what's the point of anything? Well,

0:49:18.719 --> 0:49:22.600
<v Speaker 1>some some chaos people have said, no, this is this

0:49:22.680 --> 0:49:26.560
<v Speaker 1>is great, this is good. We'll take this. Will take

0:49:26.560 --> 0:49:29.680
<v Speaker 1>the universe as it is, rather than trying to force

0:49:29.719 --> 0:49:33.279
<v Speaker 1>it into our pretty little equations and saying like if

0:49:33.280 --> 0:49:36.839
<v Speaker 1>the ocean temperature is this at this time of year, uh,

0:49:36.840 --> 0:49:39.480
<v Speaker 1>and the fish population is this at that time, then

0:49:39.880 --> 0:49:42.919
<v Speaker 1>this is how many offspring this fish stole. This fish

0:49:42.920 --> 0:49:47.759
<v Speaker 1>population is going to have. Um, say, okay, here is

0:49:47.840 --> 0:49:51.359
<v Speaker 1>the fish population, here is the ocean temperature, here all

0:49:51.400 --> 0:49:54.000
<v Speaker 1>these other variables. Let's feed it into a model and

0:49:54.040 --> 0:49:58.080
<v Speaker 1>see what happens. Not this is going to happen. What

0:49:58.280 --> 0:50:01.799
<v Speaker 1>happens instead? And this is kind of the understanding of

0:50:01.880 --> 0:50:06.239
<v Speaker 1>chaos theory. Now. It's taking raw data, as much data

0:50:06.280 --> 0:50:08.880
<v Speaker 1>as you can possibly get your hands on, as precise

0:50:08.960 --> 0:50:10.719
<v Speaker 1>data as you could possibly get your hands on, and

0:50:10.800 --> 0:50:14.280
<v Speaker 1>just feeding it into a model and seeing what patterns emerge.

0:50:14.640 --> 0:50:18.319
<v Speaker 1>Rather than making assumptions, it's saying, what's the outcome? What

0:50:18.400 --> 0:50:20.839
<v Speaker 1>comes out of this model? Yeah, And that's why, like

0:50:21.520 --> 0:50:23.719
<v Speaker 1>when you see some things, like you know, fifty years

0:50:23.719 --> 0:50:28.359
<v Speaker 1>ago they predicted this animal be its extinct and it's not. Well,

0:50:28.440 --> 0:50:33.399
<v Speaker 1>it's because the variations were too complex they tried to predict. Uh.

0:50:33.400 --> 0:50:38.960
<v Speaker 1>And that's why if you look at a ten day forecast, you, sir,

0:50:39.000 --> 0:50:43.319
<v Speaker 1>are a fool. All right, Well, ten days from now

0:50:43.400 --> 0:50:45.960
<v Speaker 1>says it's going to rain in the afternoon. Come on.

0:50:46.440 --> 0:50:49.239
<v Speaker 1>But if you take if you took enough variables for

0:50:49.440 --> 0:50:52.799
<v Speaker 1>weather for like a city, and fed it into a

0:50:52.840 --> 0:50:57.600
<v Speaker 1>model of the weather for that city, you could find, uh,

0:50:57.760 --> 0:51:01.520
<v Speaker 1>you could find a time when it was similar to

0:51:01.680 --> 0:51:04.400
<v Speaker 1>what it is now, and you could conceivably make some

0:51:04.480 --> 0:51:07.960
<v Speaker 1>assumptions based on that. You can say, well, actually we

0:51:08.040 --> 0:51:10.600
<v Speaker 1>can we can predict a little further out than we think.

0:51:11.120 --> 0:51:14.600
<v Speaker 1>But um, it's it's based on this, this theory, this

0:51:14.800 --> 0:51:20.360
<v Speaker 1>understanding of chaos, of unpredictability, of not just not forcing

0:51:20.480 --> 0:51:24.480
<v Speaker 1>nature into our formulas, but putting data into a model

0:51:24.480 --> 0:51:26.600
<v Speaker 1>and seeing what comes out of it. Yeah, and then

0:51:26.600 --> 0:51:28.480
<v Speaker 1>at the end of that you learn like when that

0:51:28.520 --> 0:51:31.600
<v Speaker 1>animal is not extinct like you thought it would be,

0:51:31.640 --> 0:51:33.399
<v Speaker 1>you go back and look at the original thing and

0:51:33.440 --> 0:51:36.759
<v Speaker 1>you have a more accurate picture of how the you know,

0:51:36.880 --> 0:51:40.600
<v Speaker 1>data could have been off slightly this one value, and

0:51:41.000 --> 0:51:45.720
<v Speaker 1>then you have more buffalo than you think. Yeah, sure

0:51:45.920 --> 0:51:48.680
<v Speaker 1>you got buffaloed by chaos. And we're not even getting

0:51:48.719 --> 0:51:51.160
<v Speaker 1>into fractals. It's a whole other thing. And we did

0:51:51.160 --> 0:51:57.280
<v Speaker 1>a whole other podcast in June about fractals and Mandel Bena,

0:51:57.360 --> 0:52:01.879
<v Speaker 1>mandel Brett, mendel Brett, mandel Brett. Yeah, and go listen

0:52:01.880 --> 0:52:04.560
<v Speaker 1>to that one and hear me clinging to the edge

0:52:04.560 --> 0:52:09.759
<v Speaker 1>of a clift. Man. We we should end this, but first, um,

0:52:09.800 --> 0:52:12.400
<v Speaker 1>I want to say, there is a really interesting article

0:52:12.560 --> 0:52:17.480
<v Speaker 1>it's pretty understandable on Quanta magazine about a guy named

0:52:17.520 --> 0:52:25.439
<v Speaker 1>George and he is a chaos theory dude who's got

0:52:25.440 --> 0:52:28.360
<v Speaker 1>a whole lab and is applying it to real life.

0:52:28.400 --> 0:52:33.440
<v Speaker 1>So it's a really good picture of chaos theory and action.

0:52:34.360 --> 0:52:37.520
<v Speaker 1>Go check it out. Okay, Uh, if you want to

0:52:37.520 --> 0:52:41.239
<v Speaker 1>know more about chaos theory, I hope your brain is

0:52:41.239 --> 0:52:46.440
<v Speaker 1>not broken. Yeah, go take some LSD and look attical that. Um,

0:52:46.520 --> 0:52:49.920
<v Speaker 1>you can type those words into how stuff works in

0:52:49.960 --> 0:52:53.600
<v Speaker 1>the search bar any of those fractals LSD chaos. It'll

0:52:53.600 --> 0:52:56.520
<v Speaker 1>bring up some good stuff. And since I said good stuff,

0:52:56.560 --> 0:53:00.759
<v Speaker 1>it's time for a listener. Now, I'm gonna call this

0:53:00.920 --> 0:53:04.520
<v Speaker 1>rare shout out get requests all the time. I bet

0:53:04.520 --> 0:53:09.239
<v Speaker 1>I know which one is really dude his girlfriend? Yeah no,

0:53:10.160 --> 0:53:12.960
<v Speaker 1>so far, so good. Hey, guys, just want to say

0:53:13.000 --> 0:53:14.680
<v Speaker 1>I think you're doing a wonderful job with the show.

0:53:15.120 --> 0:53:17.840
<v Speaker 1>To this date. My first time listening was during my

0:53:17.880 --> 0:53:22.480
<v Speaker 1>first deployment. Uh yeah, when I listened to your list

0:53:22.680 --> 0:53:26.200
<v Speaker 1>on famous and influential films and I was hooked after that.

0:53:26.560 --> 0:53:28.439
<v Speaker 1>Since I came back State Side has spent many hours

0:53:28.480 --> 0:53:32.600
<v Speaker 1>driving to and fro uh see my girlfriend, to my barracks,

0:53:33.000 --> 0:53:35.480
<v Speaker 1>and I can happily say that they've been made all

0:53:35.560 --> 0:53:39.279
<v Speaker 1>the more enjoyable by listening to you guys. Even my

0:53:39.280 --> 0:53:41.960
<v Speaker 1>girlfriend Rachel has warmed up to you dudes, which was

0:53:42.000 --> 0:53:44.319
<v Speaker 1>not a pleasant I'm sorry, which was a pleasant shock

0:53:44.360 --> 0:53:46.960
<v Speaker 1>to me that she has told me repeatedly that she

0:53:47.600 --> 0:53:51.319
<v Speaker 1>cannot listen to audiobooks because quote hearing people talk on

0:53:51.360 --> 0:53:54.520
<v Speaker 1>the radio gives me a headache end quote. Anyway, I

0:53:54.520 --> 0:53:57.080
<v Speaker 1>hope you guys continue to make awesome podcasts as I'm

0:53:57.080 --> 0:53:59.560
<v Speaker 1>headed out on my next deployment. And if you could

0:53:59.560 --> 0:54:00.960
<v Speaker 1>give a show it out to Rachel, I'm sure it

0:54:00.960 --> 0:54:03.200
<v Speaker 1>would make her feel a little better that I got

0:54:03.200 --> 0:54:06.399
<v Speaker 1>the pleasant people on the podcast to reaffirm how much

0:54:06.440 --> 0:54:11.399
<v Speaker 1>I love her. That is John Rachel hanging there, John,

0:54:11.520 --> 0:54:15.640
<v Speaker 1>be safe and thanks for listening. Yeah, man, thank you.

0:54:15.680 --> 0:54:17.479
<v Speaker 1>That is a greed email. I love that one. Glad

0:54:17.520 --> 0:54:19.520
<v Speaker 1>we don't give you a headache. Rachel. Yeah. For she

0:54:19.600 --> 0:54:21.359
<v Speaker 1>listened to this son, and she's like, okay, oh yeah,

0:54:21.680 --> 0:54:24.000
<v Speaker 1>everybody's gonna get a headache from this one. Like I

0:54:24.440 --> 0:54:26.319
<v Speaker 1>came to hate the sound of my own voice from

0:54:26.360 --> 0:54:30.560
<v Speaker 1>this one. You'll be right. If you want to get

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