WEBVTT - The Magic Eight Ball of Your Existence

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<v Speaker 1>Welcome to Stuff to Blow your Mind from how Stuff

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<v Speaker 1>Works dot com. Hey, welcome to Stuff to Blow your Mind.

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<v Speaker 1>My name is Robert Lamb and Julie Douglas. Julie, you know,

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<v Speaker 1>making decisions in this world can be really taxing. We've

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<v Speaker 1>discussed that before. Even the smallest decisions in life are

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<v Speaker 1>often difficult to make. But put yourself in the in

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<v Speaker 1>the boots in the gold studied jewel encrusted boots of

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<v Speaker 1>a king or or an Elvis, somebody who's whose decisions

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<v Speaker 1>are are are sweeping that change the escape of international

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<v Speaker 1>politics and economics. We're talking about huge ripple effect globally, globally,

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<v Speaker 1>huge political leaders, leaders of multinational companies, policymakers, The decisions

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<v Speaker 1>that they make UH can have catastrophic effects. They can

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<v Speaker 1>they can change the world for the better for the worst.

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<v Speaker 1>So in UH, in ancient times, you know, you would

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<v Speaker 1>have the emperor and he would have like a sourcerer

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<v Speaker 1>or a diviner there too. I was gonna say, an

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<v Speaker 1>oracle or an oracle, you know, there would be some

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<v Speaker 1>sort of magical go to man to bounce these ideas

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<v Speaker 1>off of and be like, hey, I'm trying to figure

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<v Speaker 1>out what to do about this. I don't know this

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<v Speaker 1>protest situation in the streets, um, but I'm not really

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<v Speaker 1>sure what to do. Can you look into your magic

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<v Speaker 1>pool of water and see what the future is going

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<v Speaker 1>to be, um, and tell me what I should do? Now?

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<v Speaker 1>Of course, there's no such thing as magic. There is,

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<v Speaker 1>so I'm sorry atually to tell me that my fortune

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<v Speaker 1>cookies are full of bunk, except the ones where the

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<v Speaker 1>fortune is general advice. But but we we love the

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<v Speaker 1>idea of being able to do that. Mainly we want

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<v Speaker 1>to we want to test our assumptions about what should

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<v Speaker 1>be done versus the outcome of those assumptions in the

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<v Speaker 1>real world. So what you're saying is that if leaders

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<v Speaker 1>had some sort of magic ball, right that they could

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<v Speaker 1>ask a question of and it could it actually spit

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<v Speaker 1>out an answer that was valid, we could uh really

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<v Speaker 1>manage our lives on a global scale in the much cleaner,

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<v Speaker 1>better way. That's the idea. But of course, to power

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<v Speaker 1>that magic eight ball, you would need some pretty intense

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<v Speaker 1>computer technology, and you would you would basically have to

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<v Speaker 1>have a computer model of everything under there. Uh. And

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<v Speaker 1>in the same day, in our attempts to understand global

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<v Speaker 1>climate UH, and just not even global climate, just local

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<v Speaker 1>weather to find out whether whether we should have a

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<v Speaker 1>picnic tomorrow. Can I plan on mo in my yard?

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<v Speaker 1>Should I would bring a raincoat with me to the

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<v Speaker 1>to the train station, that kind of thing. We depend

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<v Speaker 1>on these these climate models, which UHL is we've discussed

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<v Speaker 1>in the past. Creating an an accurate climate model is

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<v Speaker 1>very difficult. There's so many factors involved. It's a it's

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<v Speaker 1>largely chaotic system, and it's it's difficult to judge. Like

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<v Speaker 1>every every day that you're into the future that you look,

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<v Speaker 1>the more flawed the model becomes. But but still we

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<v Speaker 1>we depend on the community computer models for for our

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<v Speaker 1>understanding of what the weather is going to be. And

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<v Speaker 1>if conceivably, if we created a complex enough computer model,

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<v Speaker 1>could we not have a a kind of simulation of

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<v Speaker 1>the world in which to test our ideas. So you

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<v Speaker 1>would have this politician or this policymaker somewhere in a

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<v Speaker 1>position of power, gold stilettos, and she's thinking to herself,

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<v Speaker 1>what should I do? Should I enact this policy or

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<v Speaker 1>this policy? Well, bring me the magic eight ball and

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<v Speaker 1>I will ask it in the magic eight ball will

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<v Speaker 1>then run two scenarios in the in its simulation of

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<v Speaker 1>the world, one in which policy A is enacted and

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<v Speaker 1>one in which policy B is enacted. Okay, but this

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<v Speaker 1>magic eight ball would have to aggregate data of our

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<v Speaker 1>entire existence, right, so we're talking about the economic existence,

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<v Speaker 1>are social um existence, the geographical existence um, you know,

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<v Speaker 1>the physics of our existence. All of this, uh, would

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<v Speaker 1>have to be something that we could get our arms around,

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<v Speaker 1>all this data, right, and and and then we have

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<v Speaker 1>to have a name for this, all this data. We

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<v Speaker 1>call it big data. Big data name for it. And

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<v Speaker 1>it's kind of like imagine, like the way I was

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<v Speaker 1>kind of thinking, because I'm writing about some related issues

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<v Speaker 1>here for work, so I've been been researching, and the

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<v Speaker 1>way I tend to think of it is imagine, imagine

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<v Speaker 1>like this this field, all right, this flat plane, right,

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<v Speaker 1>what's not completely flat. There's some slight bumps in it

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<v Speaker 1>enough to where you have numerous puddles of water, and

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<v Speaker 1>then it starts raining, right, those puddles get bigger and

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<v Speaker 1>bigger until those puddles all meet and then you have

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<v Speaker 1>like a giant lake. And so that's the kind of Uh,

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<v Speaker 1>that's how I like I end up imagining big data

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<v Speaker 1>because every day we create an estimated two point five

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<v Speaker 1>quin trillion bytes of data. So to the point of

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<v Speaker 1>the data in the world today has been created in

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<v Speaker 1>the last two years alone. And when I say big data,

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<v Speaker 1>like this is all these little puddles of data that

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<v Speaker 1>form this giant lake of big day. We're talking about

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<v Speaker 1>everything we'll climate sensors, to your to everyone's Facebook and

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<v Speaker 1>Twitter updates, to digital text, digital video and picture upload.

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<v Speaker 1>Stuff you're putting on Flicker, stuff you're putting on YouTube

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<v Speaker 1>to just to show visions of the world, ideas about

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<v Speaker 1>what the world is doing, online transaction records, cell phone

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<v Speaker 1>GPS signals, all of it is coming together into this

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<v Speaker 1>big picture of big data, right and right now it's

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<v Speaker 1>chaos to us, right, I mean, this is not something

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<v Speaker 1>that we've tried to manage before to get a picture

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<v Speaker 1>of what our lives look like using all of this

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<v Speaker 1>big data, although some people, some institutions have tried to

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<v Speaker 1>do it at a smaller scale, like NASA. Right, it's

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<v Speaker 1>kind of like imagine the dude or a lady who

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<v Speaker 1>starts just picking up buying a book every day and

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<v Speaker 1>doesn't doesn't have any kind of accurate library system going

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<v Speaker 1>in their house. They just bring a book or to home.

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<v Speaker 1>They maybe they read a little bit of one, they

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<v Speaker 1>throw on here, throw on here. Eventually they have an

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<v Speaker 1>entire house just filled with books. But they have no

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<v Speaker 1>system of organization to understand how many books they have,

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<v Speaker 1>how their selection in one category stacks up against another,

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<v Speaker 1>or even kind of like just a general idea of

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<v Speaker 1>what kind of books they like. Um. So we were

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<v Speaker 1>in this household of big data where data is just everywhere,

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<v Speaker 1>on everything, but we we tend to lack a complete

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<v Speaker 1>picture of what that data is telling us. What we're

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<v Speaker 1>getting to is that there is actually in the works

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<v Speaker 1>a a proposal and an enactment of this idea. It's

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<v Speaker 1>a billion a half dollar idea computing system to actually

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<v Speaker 1>try to wrangle all of this data. Right. It all

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<v Speaker 1>falls under the this project known as UH Future I

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<v Speaker 1>C T, which is really three parts. There's a planetary

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<v Speaker 1>nervous system and the idea here is you would um,

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<v Speaker 1>it's like a global sensor network throwing in all sorts

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<v Speaker 1>of socio economic, environmental, technological data from around the world. Again,

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<v Speaker 1>like the big day of the big data in the

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<v Speaker 1>world is from the last two years. Although there it's

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<v Speaker 1>the the timiness of this data as it's rolling in.

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<v Speaker 1>So if you put up enough, put up enough sensors,

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<v Speaker 1>you you hooked into enough existing data networks, you would

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<v Speaker 1>have like a real time picture of what is happening

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<v Speaker 1>in the world and all these different spheres. Okay, and

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<v Speaker 1>the guy who is heading it all up is dirt helping.

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<v Speaker 1>He's the Scientific Coordinator of the Future i c T.

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<v Speaker 1>Which is that what you're talking about, this large scale

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<v Speaker 1>European research program to explore and manage our future. And

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<v Speaker 1>he's talking about the necessity to understand complex global, socially

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<v Speaker 1>interactive systems. He's saying that we live in a global

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<v Speaker 1>world and this requires new tools. Yeah, and uh, if

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<v Speaker 1>i'm engine the first tool the planetary nervous system. Another tool,

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<v Speaker 1>which we'll get into later, is the Global Participatory Platform,

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<v Speaker 1>which you can think of in a way sort of

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<v Speaker 1>like this the the interactive aspect of this project. But

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<v Speaker 1>then the really core thing, the thing that we're going

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<v Speaker 1>to talk in detail about here is the Living Earth simulator.

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<v Speaker 1>And this is exactly what we were talking about, the

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<v Speaker 1>engine that would drive this imaginary eight ball magic eight ball.

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<v Speaker 1>I love this idea because to me it seems like

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<v Speaker 1>a souped up second life. Yeah, where it's or it's

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<v Speaker 1>you can't help. But even though it's it's probably not

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<v Speaker 1>kosher to really talk about the matrix anymore after the

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<v Speaker 1>last two films, but it sounds very matrix like the

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<v Speaker 1>idea that here is here, there's a simulated world where

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<v Speaker 1>we would we would bring in all this data to

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<v Speaker 1>create a model of the world on which we can

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<v Speaker 1>test possible choices. Well, and have you ever seen Google's

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<v Speaker 1>Liquid Earth. I don't think I have. It's really cool.

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<v Speaker 1>It's a it's actually created as like someone's project over

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<v Speaker 1>at Google. So the Skuy's time, he decided to dedicate

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<v Speaker 1>to the Google Earth model that they have, you know

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<v Speaker 1>that consuming on the cities, and he created this highly

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<v Speaker 1>immersive program has eight panels surrounding you. She almost feel

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<v Speaker 1>like you're in a video game. And the idea I

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<v Speaker 1>think is that you know, you can zoom in and

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<v Speaker 1>out and you can see the taj Mahal and you

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<v Speaker 1>can see all the details. Um So when I think

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<v Speaker 1>about this Earth simulator, this Living Earth simulator, I think

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<v Speaker 1>about this sort of immersive situation and where you can

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<v Speaker 1>be on a city street, you can zoom in and

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<v Speaker 1>you'll have all of this data overlaid on top of

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<v Speaker 1>it real time, right, And again, real time is key

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<v Speaker 1>when we're talking about all this data. Um so Dr

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<v Speaker 1>Dirk Um, Dr Dirk, Dr Dirk he Um. He's very

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<v Speaker 1>expressive about all of this. He makes the point that

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<v Speaker 1>in the past, we we didn't really have the data

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<v Speaker 1>to come up with a systemic science of how our

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<v Speaker 1>society works. But now we have this data, right, and

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<v Speaker 1>of course who could have conceived of it right? Right? Right?

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<v Speaker 1>Who could have conceived of it in the past. And

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<v Speaker 1>he's saying it's it's necessary to keep up with globalization,

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<v Speaker 1>technological change. You have all these systems like smashing into

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<v Speaker 1>each other. In fact, he often refers to the living

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<v Speaker 1>or simulator is a knowledge collider. The idea that you

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<v Speaker 1>would take all this data and in the same way

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<v Speaker 1>that the the large hypn collider is is slamming particles

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<v Speaker 1>together to try to understand how the universe works. This

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<v Speaker 1>is about like slamming all this information together and seeing

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<v Speaker 1>what happens. Which I like this idea because although I

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<v Speaker 1>will say that it doesn't sound like it's going to

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<v Speaker 1>be quite that dynamic, because this is this is predictive

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<v Speaker 1>modeling that we're talking about, and as and as we

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<v Speaker 1>discussed in the weather example, predictive modeling is uh imperfect

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<v Speaker 1>at best. Uh. There there are various arguments about what

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<v Speaker 1>can be done with computer modeling of of complex systems.

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<v Speaker 1>There are plenty of arguments that state that you cannot

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<v Speaker 1>form a perfect model of a complex system that you're

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<v Speaker 1>you're never gonna be able to to really get down

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<v Speaker 1>into the exact minusha of it. Uh. It's kind of

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<v Speaker 1>like with our our ability to understand whether you can

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<v Speaker 1>look at data telling you what the weather has been

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<v Speaker 1>like at a particular place, particular times of the year,

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<v Speaker 1>and you can use that and you can create a

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<v Speaker 1>general idea of what the weather is going to be

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<v Speaker 1>in the future. You know, I can see, like say

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<v Speaker 1>March third, We can take March third for Atlanta, Georgia,

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<v Speaker 1>run it all the way through the past as far

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<v Speaker 1>as the recorded data goes, and we can get a

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<v Speaker 1>general idea of what March thirds in the future are

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<v Speaker 1>going to be because it's the their their seasonal aspects

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<v Speaker 1>to all of this. There is currents, but it's not

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<v Speaker 1>that far away from Richard's Almanac, right, or Richard's Almanac,

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<v Speaker 1>which is what two hundred years old or something that

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<v Speaker 1>they've been, um, you know, recording all the weather systems

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<v Speaker 1>to try to predict the best time to plant crops

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<v Speaker 1>and some one and so forth. So yeah, there's it's different.

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<v Speaker 1>Um you know, technologies of course to have are in

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<v Speaker 1>play now that inform us, but it's you know, the

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<v Speaker 1>unpredictability factor is still there. But before we talk about that,

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<v Speaker 1>I just wanted to talk about the impetus for this

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<v Speaker 1>whole creation. This the the future I see because because

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<v Speaker 1>it's we can agree that it's a wonderful idea, but

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<v Speaker 1>what potentially gets the money behind this idea? And uh

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<v Speaker 1>and that's what Yeah, billion and a half dollars. The

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<v Speaker 1>European Commission selected the Living Earth Simulator, which is part

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<v Speaker 1>of this project right as a way to help predict

0:11:51.120 --> 0:11:53.959
<v Speaker 1>economic conditions. And this was brought up by the Greek

0:11:54.000 --> 0:11:58.240
<v Speaker 1>financial crisis because as we know now, it's severely undermine

0:11:58.240 --> 0:12:02.360
<v Speaker 1>the European Union and a lot of people are saying, well, perhaps, uh,

0:12:02.400 --> 0:12:05.280
<v Speaker 1>you know, grease should pull out of the euro Zone.

0:12:05.320 --> 0:12:07.000
<v Speaker 1>And if they were to do that, what would be

0:12:07.000 --> 0:12:11.599
<v Speaker 1>the ramifications? You know, you would have a highly devalued

0:12:11.640 --> 0:12:14.880
<v Speaker 1>currency for Greece. But what does this mean on a

0:12:14.920 --> 0:12:18.319
<v Speaker 1>practical level, for for a global economy. Does this mean

0:12:18.360 --> 0:12:23.800
<v Speaker 1>that trade routes would alter? Would there be less disease? Actually,

0:12:23.800 --> 0:12:26.200
<v Speaker 1>because it would be a less tourist, less people traveling

0:12:26.240 --> 0:12:29.120
<v Speaker 1>to Greece. Um, they're saying, I wish we had to

0:12:29.120 --> 0:12:32.200
<v Speaker 1>magic eight ball to ask about this. Dr Dirk says,

0:12:32.240 --> 0:12:35.040
<v Speaker 1>I have one. I can build one for you. Will

0:12:35.080 --> 0:12:38.520
<v Speaker 1>only cost a billion and a half. There you go. Yeah.

0:12:38.800 --> 0:12:40.880
<v Speaker 1>So they have all these different questions about what would

0:12:40.880 --> 0:12:43.640
<v Speaker 1>happen if this were the scenario, because of course they

0:12:43.640 --> 0:12:46.280
<v Speaker 1>don't want Grease necessarily to pull out and you know

0:12:46.480 --> 0:12:49.240
<v Speaker 1>for the EU to crumble, right, I mean these are

0:12:49.280 --> 0:12:52.320
<v Speaker 1>big stakes. It's like a big economic ginga game. Um, yeah,

0:12:52.320 --> 0:12:55.200
<v Speaker 1>it is. It is um. And And then also you

0:12:55.200 --> 0:12:59.840
<v Speaker 1>know you can use this for for other huge situations

0:13:00.400 --> 0:13:02.640
<v Speaker 1>or high impact and situations. I should say, like for

0:13:02.720 --> 0:13:06.439
<v Speaker 1>instance of volcano eruption. UM could tell you what the

0:13:06.480 --> 0:13:08.560
<v Speaker 1>short term economic growth is going to be, as well

0:13:08.600 --> 0:13:11.280
<v Speaker 1>as the effect it may have on everything from education

0:13:11.720 --> 0:13:17.280
<v Speaker 1>to the distribution of vaccines, political unrest. UM. Disease epidemics

0:13:17.360 --> 0:13:21.079
<v Speaker 1>was another one. How disease is spread across the world,

0:13:21.080 --> 0:13:23.920
<v Speaker 1>how we should be prepared for the spread, and that

0:13:24.000 --> 0:13:29.080
<v Speaker 1>was actually modeled on how the dollar bills are circulated

0:13:29.120 --> 0:13:33.480
<v Speaker 1>in the United States, which is really interesting that they

0:13:33.559 --> 0:13:35.920
<v Speaker 1>use this as a model. And again we'll talk about

0:13:36.000 --> 0:13:39.320
<v Speaker 1>the limitations of using these types of models for other

0:13:39.360 --> 0:13:43.400
<v Speaker 1>instances such as disease epidemics. One of the real world

0:13:43.480 --> 0:13:46.880
<v Speaker 1>systems that this is based on is UH as actually

0:13:46.960 --> 0:13:51.840
<v Speaker 1>the urban traffic the idea of typically congested traffic and

0:13:52.040 --> 0:13:54.360
<v Speaker 1>urban area and how do you how do you figure

0:13:54.360 --> 0:13:56.400
<v Speaker 1>out what's going wrong, how do you combat it? How

0:13:56.400 --> 0:14:00.280
<v Speaker 1>do you deal with the little pockets of unrest and

0:14:00.400 --> 0:14:05.719
<v Speaker 1>change that eventually cascade into just complete gridlock, right, and

0:14:05.920 --> 0:14:09.280
<v Speaker 1>and Dirk helping this is really his knowledge center, you know,

0:14:09.320 --> 0:14:11.480
<v Speaker 1>this is something he's been concentrating on in his career.

0:14:12.000 --> 0:14:14.880
<v Speaker 1>Um in this case it's human and machine traffic patterns.

0:14:14.880 --> 0:14:17.559
<v Speaker 1>Helving actually consulted on a project that model the movement

0:14:17.600 --> 0:14:21.520
<v Speaker 1>of pedestrians during the Hajj in Mecca, resulting in a

0:14:21.560 --> 0:14:25.320
<v Speaker 1>billion dollars of street and bridge rejiggering to prevent deaths

0:14:25.320 --> 0:14:27.480
<v Speaker 1>from trampling. So this is yeah, this is of course

0:14:27.520 --> 0:14:29.720
<v Speaker 1>one of the pillars of Islam. Uh and the the

0:14:29.760 --> 0:14:32.560
<v Speaker 1>idea that if you were able, you take this pilgrimage

0:14:32.600 --> 0:14:36.440
<v Speaker 1>to Mecca to see the holy sites. So it creates

0:14:36.680 --> 0:14:39.680
<v Speaker 1>a lot of challenges just for the infrastructure in Saudi

0:14:39.720 --> 0:14:42.200
<v Speaker 1>Arabia to how do you deal with all these these

0:14:42.280 --> 0:14:45.160
<v Speaker 1>visitors coming to the country to to see these sites

0:14:45.560 --> 0:14:47.720
<v Speaker 1>and do so in a way that doesn't, like you said,

0:14:47.760 --> 0:14:51.400
<v Speaker 1>result in trampling, result in starvation. I'm not starvation, but

0:14:51.440 --> 0:14:55.320
<v Speaker 1>the hydration. I watched an interesting video here just back.

0:14:55.360 --> 0:14:57.960
<v Speaker 1>It was actually put up by the Saudi government that

0:14:58.240 --> 0:15:00.400
<v Speaker 1>it was kind of their their video of saying, hey,

0:15:00.440 --> 0:15:02.760
<v Speaker 1>we got it under control, don't worry when you come

0:15:02.840 --> 0:15:05.600
<v Speaker 1>on the hodge. It's like a public service and yeah, yeah,

0:15:05.640 --> 0:15:07.920
<v Speaker 1>and uh, you know, so it was definitely coming from

0:15:07.920 --> 0:15:09.320
<v Speaker 1>from the said of government, but it but it was

0:15:09.360 --> 0:15:11.520
<v Speaker 1>really interesting because they did go into all these various

0:15:11.560 --> 0:15:13.520
<v Speaker 1>things that they are doing and or have done in

0:15:13.560 --> 0:15:17.040
<v Speaker 1>the past to try and and limit the congestion or

0:15:17.920 --> 0:15:19.960
<v Speaker 1>or or things like the hydration making sure there's plenty

0:15:19.960 --> 0:15:22.920
<v Speaker 1>of water. Yeah, and this is a really cool model.

0:15:23.400 --> 0:15:25.640
<v Speaker 1>But of course there are limitations to this type of model,

0:15:25.800 --> 0:15:29.120
<v Speaker 1>and in particular, if you look at the Hajje or highways,

0:15:29.160 --> 0:15:31.520
<v Speaker 1>everyone is moving in the same direction. Right, This is

0:15:31.600 --> 0:15:35.760
<v Speaker 1>highly predictable, which underlies one of the main criticisms of

0:15:35.800 --> 0:15:39.880
<v Speaker 1>trying to predict the future based on these types of models. Um,

0:15:39.920 --> 0:15:43.560
<v Speaker 1>what we know and can predict is actually far less

0:15:43.600 --> 0:15:46.560
<v Speaker 1>than what we don't actually know, because in real life

0:15:46.560 --> 0:15:49.760
<v Speaker 1>there's not just a northbound lane and a southbound lane

0:15:49.760 --> 0:15:54.160
<v Speaker 1>and turn lane there. It's commendously more complex and every

0:15:54.160 --> 0:15:58.600
<v Speaker 1>every layer of complexity, Um, I mean it just makes

0:15:58.600 --> 0:16:01.880
<v Speaker 1>the overall model that much more are difficult to create. Right.

0:16:01.880 --> 0:16:04.920
<v Speaker 1>And there's actually a term for this. Yes, yes, they're

0:16:04.920 --> 0:16:09.080
<v Speaker 1>called black Swan events. And when we return, we shall

0:16:09.160 --> 0:16:17.480
<v Speaker 1>reveal what the black Swan is. The black Swan we're back.

0:16:17.880 --> 0:16:21.240
<v Speaker 1>The black Swan is, uh, is not a crazy ballerina

0:16:21.240 --> 0:16:24.560
<v Speaker 1>who turns into a bird. It's true, Yeah, just to

0:16:24.600 --> 0:16:26.880
<v Speaker 1>get that out there. Uh, but it is actually an

0:16:26.880 --> 0:16:30.800
<v Speaker 1>incredible theory about not only the auliers who change the world,

0:16:31.560 --> 0:16:35.280
<v Speaker 1>but the way that we try, the way the way

0:16:35.280 --> 0:16:39.400
<v Speaker 1>that we don't understand, um, the importance of those outliers

0:16:39.480 --> 0:16:42.640
<v Speaker 1>in retrospect, and the reason why we we it's called

0:16:42.640 --> 0:16:45.960
<v Speaker 1>the black Swan event for black Swan events is because

0:16:46.400 --> 0:16:49.880
<v Speaker 1>for I don't know, decades hundreds of years. Actually people

0:16:49.880 --> 0:16:52.680
<v Speaker 1>thought that there were no black swans because all that

0:16:52.720 --> 0:16:57.840
<v Speaker 1>had been documented were white swans. Right, so people thought

0:16:57.920 --> 0:17:00.840
<v Speaker 1>really like that there are no black swans, um, there

0:17:00.840 --> 0:17:02.720
<v Speaker 1>are only white swans. And in fact they were so

0:17:02.760 --> 0:17:06.240
<v Speaker 1>confident of this information that black swan became sort of

0:17:06.520 --> 0:17:10.399
<v Speaker 1>this this uh code word for for you know, something

0:17:10.440 --> 0:17:14.040
<v Speaker 1>not existing, right, just be something of medical fantasy. Really, yeah,

0:17:14.080 --> 0:17:16.080
<v Speaker 1>there's there's actually a Latin term that talks about this,

0:17:16.480 --> 0:17:18.320
<v Speaker 1>but low and the whole. Some dude in the eighteen

0:17:18.400 --> 0:17:22.399
<v Speaker 1>hundreds visits Australia documents a black swan, and all of

0:17:22.440 --> 0:17:26.840
<v Speaker 1>a sudden, this this uh certainty, this this absolute idea

0:17:27.160 --> 0:17:28.960
<v Speaker 1>that there were no black swans on the white swans

0:17:29.040 --> 0:17:31.760
<v Speaker 1>was turned on its head. Yeah. It reminds me a

0:17:31.760 --> 0:17:34.440
<v Speaker 1>lot of two events in the last several years, one

0:17:34.760 --> 0:17:37.879
<v Speaker 1>being the maybe half hour or so that it seemed

0:17:37.880 --> 0:17:40.639
<v Speaker 1>possible that we had found Bigfoot and Bigfoot's body was

0:17:40.680 --> 0:17:44.000
<v Speaker 1>in a cooler in the in the middle Georgia. Uh.

0:17:44.040 --> 0:17:46.760
<v Speaker 1>And of course that turned out to be complete bunk bunk.

0:17:46.880 --> 0:17:48.959
<v Speaker 1>But but for a for a very brief time, I

0:17:49.000 --> 0:17:50.679
<v Speaker 1>was like, oh my goodness, what if they what if

0:17:50.760 --> 0:17:53.159
<v Speaker 1>this is it? What if if the the world in

0:17:53.160 --> 0:17:56.240
<v Speaker 1>which Bigfoot is an unproven mythical creature is about to end,

0:17:56.560 --> 0:17:58.880
<v Speaker 1>and I am entering into a new world in which

0:17:58.880 --> 0:18:01.719
<v Speaker 1>Bigfoot is a reality, proven reality, what would that be like?

0:18:02.000 --> 0:18:04.879
<v Speaker 1>Another example would be in the last year. And the

0:18:04.960 --> 0:18:07.120
<v Speaker 1>jury is still out on exactly what these findings means.

0:18:07.359 --> 0:18:11.480
<v Speaker 1>But the findings out of cern regarding faster than light particles.

0:18:11.640 --> 0:18:13.879
<v Speaker 1>The idea, I mean the speed of light is is

0:18:14.680 --> 0:18:18.320
<v Speaker 1>based on our understanding of physics, uh a universal speed limit.

0:18:18.400 --> 0:18:21.520
<v Speaker 1>Nothing can go faster than that, um, because I mean

0:18:21.520 --> 0:18:23.280
<v Speaker 1>it would break the universe, to break our understanding of

0:18:23.320 --> 0:18:25.800
<v Speaker 1>the universe, it would be a black swan. And then

0:18:25.800 --> 0:18:27.840
<v Speaker 1>suddenly we have this finding saying, yeah, we we clocked

0:18:27.880 --> 0:18:31.040
<v Speaker 1>some uh some phimotomic particles going fast in the speed

0:18:31.040 --> 0:18:33.840
<v Speaker 1>of light. And everybody's like, whoa, I doubt it. Uh,

0:18:33.880 --> 0:18:36.480
<v Speaker 1>you know, let's let's do some let's study this, let's uh,

0:18:36.600 --> 0:18:38.919
<v Speaker 1>let's find out if if you're if your findings are

0:18:38.920 --> 0:18:42.240
<v Speaker 1>actually accurate here. But if they are, it changes everything.

0:18:42.320 --> 0:18:44.719
<v Speaker 1>It's it just forces us to complete to enter this

0:18:44.800 --> 0:18:47.920
<v Speaker 1>new world where the rules are are different than we

0:18:48.160 --> 0:18:51.040
<v Speaker 1>originally perceived them to be. Right, there's a book by

0:18:51.200 --> 0:18:54.600
<v Speaker 1>Nacineing Nicholas Talub And he's a distinguished professor of Risk

0:18:54.680 --> 0:18:57.720
<v Speaker 1>Engineering at the Polytechnic Institute that n y u UM.

0:18:57.760 --> 0:19:00.520
<v Speaker 1>He has this book black Swan, and he talks about

0:19:00.560 --> 0:19:04.840
<v Speaker 1>these black Swan events is having three attributes, and the

0:19:04.880 --> 0:19:09.879
<v Speaker 1>attributes are rarity, extreme impact in retrospective and what he

0:19:09.960 --> 0:19:12.320
<v Speaker 1>means by that is the first, for for for it

0:19:12.359 --> 0:19:14.080
<v Speaker 1>to be a black Swan event, it has to be

0:19:14.119 --> 0:19:18.560
<v Speaker 1>an outlier. Right, it's outside of our realm of expectations

0:19:19.280 --> 0:19:23.120
<v Speaker 1>because nothing in the past would have predicted that it existed. Right. Second,

0:19:23.280 --> 0:19:27.200
<v Speaker 1>it carries an extreme impact. The ripples of its existence

0:19:27.240 --> 0:19:29.600
<v Speaker 1>are far reaching. Right, and like the photon, I mean

0:19:29.600 --> 0:19:32.840
<v Speaker 1>the subatomic particle example here definitely lines up with those

0:19:32.880 --> 0:19:36.240
<v Speaker 1>two right if true? If true? Right, that's that's the

0:19:36.320 --> 0:19:39.560
<v Speaker 1>key there. For that third, in spite of its outlier status,

0:19:39.640 --> 0:19:43.399
<v Speaker 1>human nature makes us concoct explanations for its occurrence after

0:19:43.440 --> 0:19:47.199
<v Speaker 1>the after the fact, making it explainable to us and

0:19:47.359 --> 0:19:51.919
<v Speaker 1>seemingly predictable. Okay, So he says that there are examples

0:19:51.960 --> 0:19:54.639
<v Speaker 1>of this all around us, like the two thousand and

0:19:54.680 --> 0:19:59.399
<v Speaker 1>four tsunami, the Rise of Hitler nine eleven, UH, the

0:19:59.480 --> 0:20:02.720
<v Speaker 1>advent of the Internet. He says, there all all black

0:20:02.760 --> 0:20:08.240
<v Speaker 1>Swan events that we didn't expect were outliers, changed our culture,

0:20:08.320 --> 0:20:13.880
<v Speaker 1>um forever right, Uh, changed society, changed world events and uh.

0:20:14.000 --> 0:20:18.280
<v Speaker 1>And also the things that we we scrambled afterwards to

0:20:18.520 --> 0:20:21.440
<v Speaker 1>try to explain their existence, to to try to make

0:20:21.440 --> 0:20:25.400
<v Speaker 1>them feel not so much like these voids of knowledge

0:20:25.440 --> 0:20:27.760
<v Speaker 1>to us, because a lot of people would say, oh, well,

0:20:27.800 --> 0:20:30.359
<v Speaker 1>if we could just only have done this, we would

0:20:30.359 --> 0:20:34.600
<v Speaker 1>have you know, avoided the tsunami or voted nine eleven.

0:20:34.920 --> 0:20:36.840
<v Speaker 1>So he actually says, and this is a quote from

0:20:36.880 --> 0:20:39.440
<v Speaker 1>his book, Um, this is from the intro. He says,

0:20:39.560 --> 0:20:42.520
<v Speaker 1>what did people learn from the nine eleven episode? They

0:20:42.600 --> 0:20:45.200
<v Speaker 1>did they learn that some events, owing to their dynamics,

0:20:45.200 --> 0:20:49.359
<v Speaker 1>stand largely outside the realm of the predictable. No, did

0:20:49.359 --> 0:20:52.919
<v Speaker 1>they learn the built in defect of conventional wisdom? No?

0:20:53.560 --> 0:20:56.800
<v Speaker 1>What they what did they figure out? They learned precise

0:20:56.960 --> 0:21:00.280
<v Speaker 1>rules for avoiding Islamic proto terrorists and tall bill links.

0:21:00.880 --> 0:21:04.359
<v Speaker 1>And this, he says, is a real problem because we

0:21:04.560 --> 0:21:09.199
<v Speaker 1>learned so specifically that we try to apply this model again.

0:21:09.400 --> 0:21:12.399
<v Speaker 1>You know, we're talking about model systems over and over again.

0:21:13.000 --> 0:21:15.119
<v Speaker 1>So he's saying Okay, we learned some sort of lesson

0:21:15.240 --> 0:21:18.280
<v Speaker 1>from there, but it's so specific it deals with strong

0:21:18.400 --> 0:21:21.520
<v Speaker 1>predators and tall buildings, that it doesn't necessarily say that

0:21:21.840 --> 0:21:24.680
<v Speaker 1>we learned a lesson there that helps us to avoid

0:21:24.760 --> 0:21:27.919
<v Speaker 1>terrorism altogether. Right, I mean, and that comes down to

0:21:28.000 --> 0:21:29.919
<v Speaker 1>just to wear of our minds work. And we were

0:21:29.920 --> 0:21:33.440
<v Speaker 1>talking about this before the podcast. Inevitably, when we're talking

0:21:33.440 --> 0:21:35.000
<v Speaker 1>about the way we think about the world, we end

0:21:35.040 --> 0:21:38.840
<v Speaker 1>up falling back on on examples and involve our ancestors,

0:21:38.840 --> 0:21:41.639
<v Speaker 1>and like savor tooth tigers, like the sabre tooth tiger

0:21:41.960 --> 0:21:44.040
<v Speaker 1>attacks you, you learn a lesson, but it's gonna be

0:21:44.040 --> 0:21:47.879
<v Speaker 1>a very specific lesson in these cases, how to avoid

0:21:47.960 --> 0:21:50.000
<v Speaker 1>being eaten? How did you avoid being eaten on this

0:21:50.040 --> 0:21:54.159
<v Speaker 1>particular this particular encounter, right we we He would argue

0:21:54.320 --> 0:21:57.960
<v Speaker 1>that um Talent would argue that our brains really aren't

0:21:57.960 --> 0:22:01.360
<v Speaker 1>built for thinking per se, because if our ancestors had

0:22:01.359 --> 0:22:04.200
<v Speaker 1>stopped to think, you know, that probably would have been

0:22:04.640 --> 0:22:08.200
<v Speaker 1>torn apart by the sabre tooth tiger. Right, Um that

0:22:08.320 --> 0:22:12.200
<v Speaker 1>we are so much more invested in pattern recognition and

0:22:12.440 --> 0:22:17.120
<v Speaker 1>UH predictability models than unpredictability. So he's saying that now

0:22:17.160 --> 0:22:19.720
<v Speaker 1>we live in this entirely complex world, and we can't

0:22:19.720 --> 0:22:23.240
<v Speaker 1>really conceive of all the black swans around us. You know,

0:22:23.280 --> 0:22:25.280
<v Speaker 1>we think about eighteen hundreds. Probably it is a lot

0:22:25.320 --> 0:22:28.960
<v Speaker 1>more simple, Right, you were going to turn some butter milk,

0:22:29.040 --> 0:22:33.320
<v Speaker 1>some cows, um things were you have far less choices. Um,

0:22:33.520 --> 0:22:36.600
<v Speaker 1>it was a far lex complex world. So he's saying, really,

0:22:36.640 --> 0:22:38.400
<v Speaker 1>our brains haven't caught up to it, and that's why

0:22:38.440 --> 0:22:40.600
<v Speaker 1>we are actually blind to all of the black swans

0:22:40.640 --> 0:22:43.639
<v Speaker 1>around us. Well, you know, just think back, you know,

0:22:43.760 --> 0:22:46.480
<v Speaker 1>I'm speaking to everyone, to you the listener, Just think

0:22:46.520 --> 0:22:49.680
<v Speaker 1>back on your own life and and just how how

0:22:49.760 --> 0:22:53.000
<v Speaker 1>little of it you could have possibly predicted you could

0:22:53.119 --> 0:22:54.679
<v Speaker 1>you know, all the all the little things that have

0:22:55.040 --> 0:22:57.240
<v Speaker 1>that have led you to this place in your life,

0:22:57.760 --> 0:23:00.959
<v Speaker 1>that the decisions, the the the bits of of just

0:23:01.240 --> 0:23:03.680
<v Speaker 1>fate and blind luck and uh and here you are.

0:23:04.440 --> 0:23:06.159
<v Speaker 1>But you look back on it and you see it,

0:23:06.440 --> 0:23:10.720
<v Speaker 1>uh the way our perspective on it works. Um, you

0:23:10.720 --> 0:23:14.360
<v Speaker 1>don't see those black swans even in our own personal history. Right.

0:23:14.920 --> 0:23:17.240
<v Speaker 1>But but if you really look closely and you see

0:23:17.240 --> 0:23:19.680
<v Speaker 1>that there probably are a series of random events. Right.

0:23:19.720 --> 0:23:22.000
<v Speaker 1>We we plan to the best of our ability, and

0:23:22.040 --> 0:23:25.920
<v Speaker 1>things happen, and life takes us down different roads, right,

0:23:26.000 --> 0:23:28.720
<v Speaker 1>and you know, in retrospect we can probably explain some

0:23:28.800 --> 0:23:31.520
<v Speaker 1>of those away and apply some sort of pattern to them.

0:23:31.560 --> 0:23:36.000
<v Speaker 1>But Talib would say that it's complete randomness. Um. And

0:23:36.160 --> 0:23:38.960
<v Speaker 1>he says, actually, the world is dominated by black swans

0:23:39.080 --> 0:23:41.480
<v Speaker 1>and that they are the norm. And so this is

0:23:41.480 --> 0:23:43.679
<v Speaker 1>interesting when he says this, because if you if you

0:23:43.680 --> 0:23:46.840
<v Speaker 1>take this up face value, it means that this, uh,

0:23:46.960 --> 0:23:50.280
<v Speaker 1>this Earth simulator is probably not going to work in

0:23:50.320 --> 0:23:54.000
<v Speaker 1>the way that that the European Commission actually wants it to. Yeah,

0:23:54.040 --> 0:23:56.320
<v Speaker 1>it's it wouldn't be a situation where, oh, just occasionally

0:23:56.359 --> 0:23:58.680
<v Speaker 1>you have a black swan that throws the monkey wrench

0:23:58.760 --> 0:24:01.040
<v Speaker 1>into the into our our understanding the world. It's not

0:24:01.040 --> 0:24:04.159
<v Speaker 1>like occasionally, oh occasionally, there's been a lot. Occasionally there'sn't

0:24:04.160 --> 0:24:06.680
<v Speaker 1>there's a Hitler or Einstein that kind of changes the

0:24:06.720 --> 0:24:08.920
<v Speaker 1>way it works. You know, he's saying they're everywhere. That

0:24:08.920 --> 0:24:12.560
<v Speaker 1>that that that the world continues to change at a

0:24:12.560 --> 0:24:15.040
<v Speaker 1>at a at a steady rate based on the actions

0:24:15.040 --> 0:24:18.639
<v Speaker 1>of these various black swans, both individuals and just random

0:24:18.680 --> 0:24:22.119
<v Speaker 1>events in the world around us and these very spheres

0:24:22.160 --> 0:24:24.880
<v Speaker 1>of activity. Right, So it's great to have these predictive models,

0:24:24.920 --> 0:24:28.480
<v Speaker 1>but if you can't build in some sort of system

0:24:28.600 --> 0:24:32.199
<v Speaker 1>for ferreting out black swans, or you don't have a

0:24:32.240 --> 0:24:34.360
<v Speaker 1>system in there, and that says, okay, well, we think

0:24:34.359 --> 0:24:36.479
<v Speaker 1>this is going to happen based on what's you know,

0:24:36.520 --> 0:24:39.480
<v Speaker 1>historically the data stream that's coming in. But if you

0:24:39.520 --> 0:24:41.840
<v Speaker 1>can't run that up against something that says, you know,

0:24:42.520 --> 0:24:45.480
<v Speaker 1>forget it, this might actually not happen, or you have

0:24:45.680 --> 0:24:50.199
<v Speaker 1>five other variables, uh, then sort of it sort of

0:24:50.400 --> 0:24:53.800
<v Speaker 1>discounts the system as a whole. And even if you

0:24:53.920 --> 0:24:56.720
<v Speaker 1>did have the black swan effect or events built in,

0:24:57.000 --> 0:24:59.679
<v Speaker 1>you're still not going to get that one answer that

0:24:59.760 --> 0:25:02.560
<v Speaker 1>they so desperately want. This says this is the right answer,

0:25:02.880 --> 0:25:05.760
<v Speaker 1>because you're gonna get four variables, five variables, ten variables

0:25:05.800 --> 0:25:08.200
<v Speaker 1>spit out at you and you're back at square one.

0:25:08.600 --> 0:25:10.720
<v Speaker 1>And and then this is something that really blew my mind.

0:25:10.880 --> 0:25:13.840
<v Speaker 1>Um when you when you think, imagine you did build

0:25:13.840 --> 0:25:17.879
<v Speaker 1>this just enormously complex, uh model of the world, this

0:25:18.200 --> 0:25:21.760
<v Speaker 1>living Earth simulator. What gets me is the feedback loop

0:25:21.840 --> 0:25:26.439
<v Speaker 1>loops you eventually fall into because because because you're building,

0:25:27.119 --> 0:25:30.080
<v Speaker 1>you're building a model of the world that has access

0:25:30.160 --> 0:25:32.520
<v Speaker 1>to a model of the world, that has access to

0:25:32.560 --> 0:25:34.199
<v Speaker 1>a model of the world, that has access to a

0:25:34.240 --> 0:25:36.840
<v Speaker 1>model of the world, and it just like it just

0:25:36.960 --> 0:25:38.720
<v Speaker 1>it blows my mind to think of that. How would

0:25:38.720 --> 0:25:41.320
<v Speaker 1>that pan out? It just would the complexity would just

0:25:41.760 --> 0:25:45.960
<v Speaker 1>would spiral out forever. Well, and there's another point here

0:25:46.080 --> 0:25:50.440
<v Speaker 1>that even if you did have a couple of answers

0:25:50.480 --> 0:25:53.320
<v Speaker 1>spit out in a in a scenario, right, that seemed like, Okay,

0:25:53.400 --> 0:25:55.679
<v Speaker 1>this is the best course of action. Because you have

0:25:55.880 --> 0:25:58.720
<v Speaker 1>such a complex system and you can't even understand how

0:25:58.760 --> 0:26:01.880
<v Speaker 1>that data came to that conclusion, then you're probably less

0:26:01.920 --> 0:26:04.800
<v Speaker 1>likely to trust it in the first place. Yeah. Yeah,

0:26:04.800 --> 0:26:07.720
<v Speaker 1>And in fact, it lines up interestingly with climate change

0:26:07.920 --> 0:26:11.080
<v Speaker 1>Man Maine climate change and our our attempts to understand it. Uh,

0:26:11.119 --> 0:26:13.960
<v Speaker 1>the scientific findings that have come out arguing, uh, the

0:26:14.000 --> 0:26:16.439
<v Speaker 1>point that hey, humans are are altering global climate and

0:26:16.440 --> 0:26:18.600
<v Speaker 1>here are some things we should do to stop it.

0:26:18.680 --> 0:26:21.359
<v Speaker 1>And and just and just how how little of that

0:26:21.400 --> 0:26:24.879
<v Speaker 1>has been has resonated with the decision makers and with

0:26:24.960 --> 0:26:27.919
<v Speaker 1>the general public in some cases. Right, Right, So they

0:26:27.920 --> 0:26:30.240
<v Speaker 1>have a bunch of information there and they still can't act. Yeah,

0:26:30.280 --> 0:26:33.439
<v Speaker 1>we ask our our our biggest reasoning machine that we

0:26:33.480 --> 0:26:35.800
<v Speaker 1>have available to a science what we should do about

0:26:35.800 --> 0:26:38.200
<v Speaker 1>a given situation, we get an answer for it, and

0:26:38.240 --> 0:26:40.040
<v Speaker 1>not not everyone's gonna listen. So is there gonna be

0:26:40.080 --> 0:26:43.879
<v Speaker 1>any better if we have a a complex simulation of

0:26:43.880 --> 0:26:46.600
<v Speaker 1>of existence that we can turn to our people are

0:26:46.640 --> 0:26:49.000
<v Speaker 1>gonna trust that? And indeed, are people are going to

0:26:49.080 --> 0:26:51.879
<v Speaker 1>trust this supercomputer that has that is using reasoning that

0:26:51.920 --> 0:26:54.639
<v Speaker 1>we can't even fathom, uh, to tell us of what

0:26:54.760 --> 0:26:56.760
<v Speaker 1>we should do? And what if what indeed if if

0:26:56.760 --> 0:27:00.040
<v Speaker 1>it's a suggestion is something that seems nonsensical? Well, and

0:27:00.080 --> 0:27:02.919
<v Speaker 1>there's this whole idea too, that all of this is

0:27:02.920 --> 0:27:06.199
<v Speaker 1>predicated on us even understanding our existence in the first place,

0:27:06.359 --> 0:27:09.440
<v Speaker 1>and how our existence is the fact that you and

0:27:09.520 --> 0:27:11.359
<v Speaker 1>I are sitting here and everybody you guys are listening.

0:27:11.440 --> 0:27:14.440
<v Speaker 1>This is a black Swan event in and of itself.

0:27:14.800 --> 0:27:17.439
<v Speaker 1>And what I mean about that is the odds of

0:27:17.480 --> 0:27:22.920
<v Speaker 1>our existence. Um. There's a Harvard professor Dr Ali Benazzar

0:27:23.000 --> 0:27:26.960
<v Speaker 1>who says, so, what's the probability of you existing? This

0:27:27.000 --> 0:27:29.400
<v Speaker 1>is a quote. It says, it's the probability of two

0:27:29.440 --> 0:27:32.560
<v Speaker 1>million people getting together about the population of San Diego,

0:27:32.920 --> 0:27:36.040
<v Speaker 1>each to play a game of dice with trillion sided dice.

0:27:36.359 --> 0:27:38.959
<v Speaker 1>They each roll the dice and they all come up

0:27:38.960 --> 0:27:45.040
<v Speaker 1>with the exact same number. Say, five hundred and fifty trillion,

0:27:45.080 --> 0:27:48.199
<v Speaker 1>three hundred forty three million, two hundred seventy nine thousand

0:27:48.240 --> 0:27:51.560
<v Speaker 1>and one. That's the number. So, you know, we've talked

0:27:51.560 --> 0:27:54.320
<v Speaker 1>about this before to just in terms of the rare

0:27:54.400 --> 0:27:58.800
<v Speaker 1>Earth theory, about how the fact that life on Earth

0:27:59.200 --> 0:28:03.320
<v Speaker 1>came about in and how there's circumstances were just right.

0:28:03.640 --> 0:28:06.560
<v Speaker 1>But this is a rarity as far as we know, right, Yeah,

0:28:06.600 --> 0:28:08.760
<v Speaker 1>so it's you know, we have a whole podcast devoted

0:28:08.760 --> 0:28:12.080
<v Speaker 1>to this. But but the arguments often come down to, um,

0:28:12.119 --> 0:28:14.520
<v Speaker 1>it's such a rare event that this Earth exists, Does

0:28:14.560 --> 0:28:18.080
<v Speaker 1>that mean that we're special or you know? But but

0:28:18.160 --> 0:28:20.920
<v Speaker 1>we can't think scientifically, we can't view ourselves as special.

0:28:20.960 --> 0:28:22.640
<v Speaker 1>So how do we how do we wrap our heads

0:28:22.640 --> 0:28:24.760
<v Speaker 1>around that one? So yeah, yeah, there you go, There

0:28:24.760 --> 0:28:27.680
<v Speaker 1>you go. And then if this if this simulator, if

0:28:27.720 --> 0:28:32.360
<v Speaker 1>this future set, if it actually it works right, if

0:28:32.359 --> 0:28:35.480
<v Speaker 1>it comes to fruition and it's useful in naturally predicting

0:28:36.240 --> 0:28:40.080
<v Speaker 1>uh black swans really, because that's what the end result

0:28:40.080 --> 0:28:43.720
<v Speaker 1>of that should be. Uh, then What does that mean

0:28:43.800 --> 0:28:47.160
<v Speaker 1>about science? What does that mean about thought experiments? You know,

0:28:47.200 --> 0:28:50.520
<v Speaker 1>if everything is answerable and predictable, is at the end

0:28:50.520 --> 0:28:52.960
<v Speaker 1>of science? I don't know. And and then likewise it

0:28:53.000 --> 0:28:56.200
<v Speaker 1>also brings to mind any kind of corporate situation where

0:28:56.200 --> 0:28:58.239
<v Speaker 1>you have a problem. What's the first thing people do?

0:28:59.240 --> 0:29:01.960
<v Speaker 1>Meeting about it? Committee about it. Let's form a task

0:29:02.000 --> 0:29:05.320
<v Speaker 1>force to to talk about this, uh, this situation and

0:29:05.360 --> 0:29:08.240
<v Speaker 1>come up with some recommendations to what extent would this

0:29:08.280 --> 0:29:11.560
<v Speaker 1>simulation this uh, this Living Earth simulator be a version

0:29:11.560 --> 0:29:13.840
<v Speaker 1>of that where we're like, oh, we have a problem. Um,

0:29:13.920 --> 0:29:16.680
<v Speaker 1>you know, there's a there's a there suffering in the

0:29:16.680 --> 0:29:19.600
<v Speaker 1>world somewhere. What should we do about it? Throw into

0:29:19.640 --> 0:29:21.520
<v Speaker 1>the simulator and then we get the results, and then

0:29:21.960 --> 0:29:24.280
<v Speaker 1>the simulator gives us a list of recommendations and we

0:29:24.360 --> 0:29:26.440
<v Speaker 1>end up following none of them. Right, we don't have

0:29:26.480 --> 0:29:29.800
<v Speaker 1>the budget for that, right because we've we've talked about it.

0:29:29.840 --> 0:29:32.280
<v Speaker 1>We we put the the info into the machine. It

0:29:32.560 --> 0:29:36.200
<v Speaker 1>uh it does spit us out some numbers, so we're good. Right, Well,

0:29:36.240 --> 0:29:38.840
<v Speaker 1>at least we can finally uh let the cat out

0:29:38.880 --> 0:29:43.440
<v Speaker 1>of Shreddinger's box, right, yeah, all right, Well, let's have

0:29:43.520 --> 0:29:49.160
<v Speaker 1>the Robot bring us something to read reading Donald, Thank you.

0:29:49.280 --> 0:29:53.080
<v Speaker 1>There we go. All right, Well, we heard from a

0:29:53.120 --> 0:29:56.800
<v Speaker 1>listener by the name of Dustin. Dustin Wright sentences Hi, Robert,

0:29:56.880 --> 0:29:59.479
<v Speaker 1>Julie and the rest of the STB y M staff.

0:30:00.000 --> 0:30:02.800
<v Speaker 1>I wanted to say thanks for your episode on mesophonium.

0:30:02.800 --> 0:30:05.840
<v Speaker 1>My whole life has been driven nuts by chewing, swallowing

0:30:05.880 --> 0:30:08.880
<v Speaker 1>and smacking. I always thought that my reaction wasn't normal,

0:30:08.920 --> 0:30:10.840
<v Speaker 1>but now I realized that I'm not alone out there.

0:30:11.200 --> 0:30:13.479
<v Speaker 1>It was really fascinating to hear about others triggers. At

0:30:13.560 --> 0:30:16.280
<v Speaker 1>least I know when I expect my triggers and can

0:30:16.320 --> 0:30:19.400
<v Speaker 1>take steps to cope with the overwhelming anxiety. If a

0:30:19.400 --> 0:30:22.280
<v Speaker 1>person's trigger was the crunching of leaves, then that must

0:30:22.320 --> 0:30:25.560
<v Speaker 1>be hell. I really hope that the more research that

0:30:25.600 --> 0:30:27.400
<v Speaker 1>develops on this topic. Thanks for all of your hard

0:30:27.400 --> 0:30:30.160
<v Speaker 1>work and the wonderful show. Yeah, that was really great.

0:30:30.360 --> 0:30:33.600
<v Speaker 1>We've had so many people right in about mesophonia. It's

0:30:33.600 --> 0:30:38.400
<v Speaker 1>really interesting. It seems to be just anecdotally, uh more

0:30:39.120 --> 0:30:41.520
<v Speaker 1>widespread than we saw. Yeah. I mean, I find myself

0:30:41.520 --> 0:30:43.320
<v Speaker 1>thinking about it all the time too. Whenever I let

0:30:43.800 --> 0:30:47.040
<v Speaker 1>petty things sounds annoy me, and I sort of have

0:30:47.040 --> 0:30:49.080
<v Speaker 1>to step back and I'm like, maybe have a touch

0:30:49.120 --> 0:30:51.160
<v Speaker 1>of messophonia. And then I'm like, well be conscious of it,

0:30:51.400 --> 0:30:54.160
<v Speaker 1>don't let it irk you in. And luckily I don't

0:30:54.200 --> 0:30:59.400
<v Speaker 1>have severe enough reactions that that doesn't work. Yeah. Yeah,

0:30:59.440 --> 0:31:01.040
<v Speaker 1>you know what, Chris, this was hard for me because

0:31:01.040 --> 0:31:02.320
<v Speaker 1>I've got a three year old and there was a

0:31:02.440 --> 0:31:05.720
<v Speaker 1>lot of start from around and I was constantly stop.

0:31:06.120 --> 0:31:08.720
<v Speaker 1>All right, here's another one just from listener Neil. Neil

0:31:08.760 --> 0:31:11.440
<v Speaker 1>writes and it says, Hi, Robert and Julie's super podcast again,

0:31:11.720 --> 0:31:14.200
<v Speaker 1>didn't know about Terry Pratchett's sword made out of meteor?

0:31:14.240 --> 0:31:16.600
<v Speaker 1>Do they call him sky swords? He's a responding tore

0:31:16.640 --> 0:31:19.680
<v Speaker 1>away of the Sword podcast. Just a note on kindo.

0:31:20.120 --> 0:31:23.000
<v Speaker 1>The foot stomp happens at the time of the strike

0:31:23.120 --> 0:31:26.560
<v Speaker 1>or cut, not before, or at least not as a warning.

0:31:26.800 --> 0:31:31.120
<v Speaker 1>The stomp uh fumi komi is part of the cut. Typically,

0:31:31.200 --> 0:31:33.240
<v Speaker 1>for a cut to be counted, you need to stomp,

0:31:33.560 --> 0:31:35.600
<v Speaker 1>call out what you were cutting, and of course land

0:31:35.600 --> 0:31:37.480
<v Speaker 1>the cut in the place that you have called out.

0:31:37.760 --> 0:31:42.240
<v Speaker 1>This is all to demonstrate what kN Doka call key

0:31:42.360 --> 0:31:46.360
<v Speaker 1>kin ta ichi, the oneness of the spirit key with

0:31:46.400 --> 0:31:49.280
<v Speaker 1>the sword. Can and the body tie. You can, of

0:31:49.280 --> 0:31:52.000
<v Speaker 1>course foot stomp before a cut, but typically this is

0:31:52.040 --> 0:31:55.520
<v Speaker 1>a thing to get a reaction, either a flinch or

0:31:55.600 --> 0:31:59.400
<v Speaker 1>start from the other kim dooka, which might reveal a

0:31:59.440 --> 0:32:02.640
<v Speaker 1>hesitate to exploit immediately or just put them on edge,

0:32:02.880 --> 0:32:06.240
<v Speaker 1>or an attack which you might counterattack or otherwise blunt.

0:32:06.640 --> 0:32:08.280
<v Speaker 1>I am not sure I would call it a warning,

0:32:08.320 --> 0:32:11.480
<v Speaker 1>since the intention is usually not that charitable. That said,

0:32:11.560 --> 0:32:13.840
<v Speaker 1>kendo is a great martial art, no disrespect to other

0:32:13.920 --> 0:32:17.400
<v Speaker 1>sword arts, and well worth the effort. Fun to boot

0:32:17.600 --> 0:32:20.480
<v Speaker 1>and the gear is cool too. Anyway, thanks for the

0:32:20.480 --> 0:32:23.320
<v Speaker 1>super podcast series, Cheers and Neil Cool. Yeah, I was

0:32:23.400 --> 0:32:25.680
<v Speaker 1>so glad to hear the information. I saw some of

0:32:25.680 --> 0:32:29.080
<v Speaker 1>the kendo in the documentary Reclaiming the Blade, and it

0:32:29.200 --> 0:32:31.880
<v Speaker 1>seemed as though they were stomping as a warning. But

0:32:31.920 --> 0:32:34.000
<v Speaker 1>it's great to share that information. It makes it even

0:32:34.120 --> 0:32:38.080
<v Speaker 1>that much more intriguing of muscial art. Yeah, it's kind

0:32:38.120 --> 0:32:39.480
<v Speaker 1>of it sounds a lot like it's kind of like

0:32:39.560 --> 0:32:41.960
<v Speaker 1>a like a lunch like you see. I mean, I

0:32:42.240 --> 0:32:43.720
<v Speaker 1>not that I've ever been in a fight, but you know,

0:32:43.720 --> 0:32:45.680
<v Speaker 1>you see people in like in a fighting situation, and

0:32:45.680 --> 0:32:50.440
<v Speaker 1>one will sort of like Yeah, but I like this idea,

0:32:50.520 --> 0:32:53.680
<v Speaker 1>this one oneness of the spirit and the sword and um,

0:32:53.720 --> 0:32:56.320
<v Speaker 1>and that's why they did a little foot stomping. I

0:32:56.360 --> 0:32:58.920
<v Speaker 1>also I was thinking that the little foot stoping because

0:32:58.920 --> 0:33:01.560
<v Speaker 1>they have tiny little feet with Kendem Marshall artists have

0:33:01.680 --> 0:33:05.160
<v Speaker 1>tiny little fie. Okay, I'm kidding, um, but but I

0:33:05.200 --> 0:33:07.520
<v Speaker 1>mean it made me think of playing pool, like if

0:33:07.560 --> 0:33:09.840
<v Speaker 1>you were to call out a pocket, but you would

0:33:09.880 --> 0:33:11.440
<v Speaker 1>do it at the same time that you were to

0:33:11.480 --> 0:33:13.719
<v Speaker 1>hit the ball, or kind of like Babe Ruth like

0:33:13.800 --> 0:33:16.960
<v Speaker 1>pointing the field is going to hit the ball. Yeah,

0:33:17.240 --> 0:33:21.440
<v Speaker 1>thank you, sucker. Try just try to get it. Well. Hey,

0:33:21.640 --> 0:33:23.640
<v Speaker 1>we would love to hear what anyone has to say

0:33:23.680 --> 0:33:28.240
<v Speaker 1>about the the idea of a living Earth simulator. Um,

0:33:28.280 --> 0:33:30.080
<v Speaker 1>what do you think about it? Depending do you do?

0:33:30.120 --> 0:33:32.480
<v Speaker 1>You do you think it's a great idea, do you

0:33:32.480 --> 0:33:35.320
<v Speaker 1>think it's at all feasible? And how do you imagine

0:33:35.360 --> 0:33:38.360
<v Speaker 1>a future in which we have access to one? Would

0:33:38.360 --> 0:33:40.480
<v Speaker 1>you want an app on your phone? Yeah, because that

0:33:40.520 --> 0:33:42.800
<v Speaker 1>was one of the things that they talk about, is

0:33:42.840 --> 0:33:44.760
<v Speaker 1>the idea that if we had this simulator in place,

0:33:44.760 --> 0:33:46.720
<v Speaker 1>you would basically be able to get apps where you

0:33:46.720 --> 0:33:48.680
<v Speaker 1>could see like and I imagine someone would be kind

0:33:48.680 --> 0:33:50.200
<v Speaker 1>of fun like. Someone will probably be like, what would

0:33:50.200 --> 0:33:53.480
<v Speaker 1>a zombie apocalypse actually look like? Let's load that in.

0:33:54.200 --> 0:33:56.160
<v Speaker 1>What would it be like? If you know, just any

0:33:56.200 --> 0:33:58.000
<v Speaker 1>kind of crazy scenario you could think of, you could

0:33:58.080 --> 0:34:01.160
<v Speaker 1>conceivably have an app for it to to to load

0:34:01.200 --> 0:34:04.840
<v Speaker 1>in to check. And you can just imagine everyone from

0:34:04.920 --> 0:34:06.959
<v Speaker 1>any like every business in the world would have some

0:34:07.000 --> 0:34:09.680
<v Speaker 1>sort of access to this model so they could test

0:34:09.680 --> 0:34:15.200
<v Speaker 1>their various uh, promotional materials, etcetera. But let us know

0:34:15.239 --> 0:34:17.520
<v Speaker 1>what you think. You can find us on Facebook and Twitter.

0:34:18.360 --> 0:34:20.120
<v Speaker 1>We are blow the Mind on Twitter, and you can

0:34:20.120 --> 0:34:22.160
<v Speaker 1>find us on Facebook just by searching for stuff to

0:34:22.160 --> 0:34:24.560
<v Speaker 1>blow the mind. And you can drop us a line

0:34:24.640 --> 0:34:32.160
<v Speaker 1>at blow the Mind at how stuff works dot com.

0:34:32.239 --> 0:34:34.800
<v Speaker 1>Be sure to check out our new video podcast, Stuff

0:34:34.840 --> 0:34:37.480
<v Speaker 1>from the Future. Join how Stuff Work staff as we

0:34:37.520 --> 0:34:41.080
<v Speaker 1>explore the most promising and perplexing possibilities of tomorrow.