WEBVTT - Who was John von Neumann?

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<v Speaker 1>Get in touch with technology with tech Stuff from how

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<v Speaker 1>stuff works dot com. Hey there, welcome to tech Stuff.

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<v Speaker 1>I'm your host, Jonathan Strickland. I'm an executive producer and

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<v Speaker 1>I love all things tech. And in a recent episode

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<v Speaker 1>I mentioned a guy named John von Neuman, and that

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<v Speaker 1>said I should probably do an episode about him, and

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<v Speaker 1>several of you wrote in and urged that I should

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<v Speaker 1>do this sooner rather than later. So today we're going

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<v Speaker 1>to learn more about von Neuman and his numerous contributions

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<v Speaker 1>to science and technology. This is the first part of

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<v Speaker 1>a two part episode. His achievements were remarkable, perhaps made

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<v Speaker 1>even more astonishing by the fact that he only lived

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<v Speaker 1>to his mid fifties, and yet he was an incredibly

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<v Speaker 1>prolific thinker. But he also had his flaws, and I'll

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<v Speaker 1>talk about those as well, because I think it would

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<v Speaker 1>be a disservice to just gloss over them. So while

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<v Speaker 1>he was a genuine whenly intelligent, brilliant man, he had

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<v Speaker 1>some some flaws to his character as well. So John

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<v Speaker 1>von Neumann was born Neuman Ya nash Law Josh margin

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<v Speaker 1>Tie in Budapest, Hungary, in December. And I know, I know,

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<v Speaker 1>I butchered the pronunciation of that, but I'm doing the

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<v Speaker 1>best I can. He was born into a nonpracticing Jewish family,

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<v Speaker 1>so uh, ethnic Jewish family, but not a practicing Jewish family. Now,

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<v Speaker 1>according to the biography, as I read, the household liberally

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<v Speaker 1>mixed in Jewish and Christian traditions together. His father was

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<v Speaker 1>a successful banker. His mother came from a prosperous family,

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<v Speaker 1>so in those biographies they also mentioned that he came

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<v Speaker 1>from a wealthy background. He was the oldest of three boys.

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<v Speaker 1>His younger brothers grew up to be a doctor and

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<v Speaker 1>a lawyer, respectively, and the family would employ governesses to

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<v Speaker 1>look after the children and from them, Vaughn Neuman began

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<v Speaker 1>to learn French and German and English and other languages

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<v Speaker 1>as well. Even as a kid, he was obviously gifted.

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<v Speaker 1>He could talk with his father in Greek and tell

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<v Speaker 1>jokes in Greek. He could memorize an entire page out

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<v Speaker 1>of a phone book in just a few minutes and

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<v Speaker 1>answer questions about who had which number or what a

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<v Speaker 1>person's street address was. They would do this as like

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<v Speaker 1>party tricks. When he was six years old, John von

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<v Speaker 1>Neumann was an apt student in school, and he attended

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<v Speaker 1>the Lutheran High School starting in nineteen thirteen. This was

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<v Speaker 1>one of the best schools in Hungary. He earned the

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<v Speaker 1>award of being the best Mathematician of the fifth class

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<v Speaker 1>in nineteen eighteen and he won Best Hungarian Student in

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<v Speaker 1>Mathematics in nineteen twenty. Now, in between that time there

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<v Speaker 1>were some bumps in the road, but it wasn't due

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<v Speaker 1>to his academics, was due to world politics. In nineteen

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<v Speaker 1>nineteen you had the end of World War One. Hungary

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<v Speaker 1>fell under the governance of a commune. This leader named

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<v Speaker 1>bellah Kun, and he and his Hungarian Soviet Republic moved

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<v Speaker 1>to nationalize a lot of private property in other words,

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<v Speaker 1>sees the property of wealthy individuals in order to redistribute

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<v Speaker 1>that to the rest of the population. Now, the Noumans

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<v Speaker 1>didn't really like the sound of that, and so they

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<v Speaker 1>fled temporarily to Austria. After about a month, they came

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<v Speaker 1>back to Budapest and the Soviet Republic didn't last very long. It,

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<v Speaker 1>I mean it ultimately it fell. But in the wake

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<v Speaker 1>of its failure, that added more problems for this family.

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<v Speaker 1>So namely, the failing government had many Jewish representatives in it.

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<v Speaker 1>It was a largely Jewish government, and so public opinion

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<v Speaker 1>towards Jewish people in general turned very, very negative. So

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<v Speaker 1>it didn't matter that John's family had been in opposition

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<v Speaker 1>to that government. The fact that they were Jewish meant

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<v Speaker 1>that they would receive a lot of the ill will

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<v Speaker 1>of the people. He would go on to study mathematics

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<v Speaker 1>in one university and chemistry at another at the same time.

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<v Speaker 1>Sort of all right, so here's the story behind that.

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<v Speaker 1>His dad didn't want him to pursue a career that

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<v Speaker 1>wasn't going to accumulate wealth, and he felt that an

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<v Speaker 1>advanced degree in pure mathematics wasn't going anywhere. It wasn't

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<v Speaker 1>a real money maker. So he and John sat down

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<v Speaker 1>and together they agreed upon the subject of chemistry. There

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<v Speaker 1>were a lot of rising stars in the world of

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<v Speaker 1>chemistry out of this part of Europe, and so John

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<v Speaker 1>von Neumann agreed he would study chemistry. So he enrolled

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<v Speaker 1>in the University of Berlin. However, at the same time

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<v Speaker 1>he also enrolled in the University of Budapest for mathematics. Now,

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<v Speaker 1>Hungary's universities had really strict limitations on the number of

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<v Speaker 1>Jewish students would be allowed to attend at any one time. However,

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<v Speaker 1>von Neuman's academic record was beyond impressive, so he was

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<v Speaker 1>able to get in. And then he did something pretty

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<v Speaker 1>darn baller. He would attend classes at the University of

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<v Speaker 1>Berlin learning about chemistry, and he would skip nearly all

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<v Speaker 1>of the lectures and classes at the University of Budapest

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<v Speaker 1>in mathematics. He would just come back to the University

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<v Speaker 1>of Budapest to take exams or whenever he was absolutely

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<v Speaker 1>required to be there, and he aced those exams even

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<v Speaker 1>though he wasn't going to the lectures. He graduated with

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<v Speaker 1>a pH d in mathematics from the University of Budapest

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<v Speaker 1>in ninety without really going to lectures there. He was

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<v Speaker 1>twenty three years old. He transferred out of the University

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<v Speaker 1>of Berlin as he was studying chemistry, and he would

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<v Speaker 1>ultimately receive a diploma in chemical engineering in ninety six

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<v Speaker 1>from a school in Zurich, Switzerland. I wish I could

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<v Speaker 1>tell you the name of that school, but I'm looking

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<v Speaker 1>at it and it would do such a terrible job

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<v Speaker 1>with this one. I don't even dare attempt to pronounce it.

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<v Speaker 1>So I'm just gonna leave it be now. When he

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<v Speaker 1>was twenty. When he was still in school, John von

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<v Speaker 1>Neuman published a definition for ordinal numbers, and an ordinal

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<v Speaker 1>number is a way to describe the position of an

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<v Speaker 1>object within a sequence of objects that are inside a set. So,

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<v Speaker 1>for example, if you consider a set to be people

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<v Speaker 1>who are in line for pizza, and there are four

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<v Speaker 1>people ahead of me, I am the fifth person in

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<v Speaker 1>that line or set. So the ordinal number that is

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<v Speaker 1>my designation is five because I'm the fifth person in line.

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<v Speaker 1>Von Neuman's definition of ordinal numbers is the same one

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<v Speaker 1>that we use to this day now. Von Neuman's dissertation

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<v Speaker 1>for his PhD had the title The Axiomatic System of

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<v Speaker 1>set theory. Set theory concerns collections of objects, typically mathematical objects,

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<v Speaker 1>as opposed to you know, like hammers and Set theory

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<v Speaker 1>was established in the late nineteenth century by George Cantor

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<v Speaker 1>in an article titled on a property of the Collection

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<v Speaker 1>of all real algebraic numbers. Basically, this is the theory

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<v Speaker 1>that can be described like this. Sets are collections of

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<v Speaker 1>objects or elements. So in a real world example, the

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<v Speaker 1>classification of mammals includes all animals that are vertebrates, that

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<v Speaker 1>have for that typically give birth to live young, and

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<v Speaker 1>they produce milk for offspring. So a cat fits that definition.

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<v Speaker 1>A cat fits the set of mammals. All cats are mammals. However,

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<v Speaker 1>sets themselves can be objects that belong to larger sets.

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<v Speaker 1>So in this example, mammals is a set, but it's

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<v Speaker 1>also an object. It belongs to the larger set of

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<v Speaker 1>all animals. So a cat belongs to the set mammal

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<v Speaker 1>as well as to the set animals, and mammals are

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<v Speaker 1>a subset of animals. If you've seen a Venn diagram

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<v Speaker 1>in which you have two circles that overlap in some way,

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<v Speaker 1>you've seen a representation of one aspect of set theory.

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<v Speaker 1>So let's give an example of a Venn diagram. Let's

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<v Speaker 1>say we have two circles. One circle represents people who

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<v Speaker 1>love they might be giants, and the second circle represents

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<v Speaker 1>people who love Andrew w K. These circles each represent

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<v Speaker 1>different sets. The overlap, or the intersection of those two

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<v Speaker 1>sets is where you have people who fit both categories.

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<v Speaker 1>They love they might be giants and they love Andrew

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<v Speaker 1>w K. We could even give this group a new name.

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<v Speaker 1>We could call it something else. Like weirdos like Jonathan

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<v Speaker 1>Strickland because I love both, they might be giants and

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<v Speaker 1>Andrew w K. But we could also talk about the

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<v Speaker 1>set difference of this Venn diagram. The set difference for

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<v Speaker 1>the people who love they might be giants would include

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<v Speaker 1>all the people who only love Andrew w K. And

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<v Speaker 1>the opposite would be true for the set difference for

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<v Speaker 1>the people who love Andrew w K. You also have

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<v Speaker 1>symmetric differences. The symmetric difference of these two sets would

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<v Speaker 1>include all the people who only loved one of the

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<v Speaker 1>two bands, but not both. There are many other ways

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<v Speaker 1>you can describe sets, but you get the general idea.

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<v Speaker 1>As for axioms, those are statements that are self evidently true,

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<v Speaker 1>things that are true because of common sense. We can

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<v Speaker 1>declare them to be true. It's about as fundamental as

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<v Speaker 1>you can get. In fact, it is as fundamental as

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<v Speaker 1>you can get with truth. So one of those might

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<v Speaker 1>be parallel lines will never intersect. By definition, parallel lines

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<v Speaker 1>will never intersect. That is an axiom. It is a

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<v Speaker 1>fundamental truth. It's a common sense statement. It's not based

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<v Speaker 1>on earlier or or even more granular statements. So these

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<v Speaker 1>axioms can be used to deduce further conclusions. But doing

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<v Speaker 1>that hand be tricky. If you build deductions on axioms

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<v Speaker 1>and you find that two different deductions you have based

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<v Speaker 1>off the same axiom end up contradicting each other, then

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<v Speaker 1>you've got a problem on your hands. So let's say

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<v Speaker 1>you've got your axiom A. This is your fundamental statement,

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<v Speaker 1>the one that you've declared to be true. Then from A,

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<v Speaker 1>you deduce that because A is true, statement B, which

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<v Speaker 1>is based on A, must also be true. And then

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<v Speaker 1>from statement B you deduce that statement P is also true.

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<v Speaker 1>Now let's get back to A. Let's say that we

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<v Speaker 1>start from A again, and now we're making a different

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<v Speaker 1>deduction and we deduce a new statement. We're calling this

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<v Speaker 1>statement D, and that one must be true. But now

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<v Speaker 1>from statement D we make a deduction, and from statement

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<v Speaker 1>D we deduce that statement P has to be false.

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<v Speaker 1>So this is a problem. You have one line of

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<v Speaker 1>reasoning that states P has to be true because A

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<v Speaker 1>is true, B is true, P is true. Then you

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<v Speaker 1>have another one that says P has to be false

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<v Speaker 1>because A is true, D is true. That means P

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<v Speaker 1>must be false. This is a paradox or a contradictory statement,

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<v Speaker 1>and it means we have to look over the entire system.

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<v Speaker 1>We have to look at the axioms to make sure

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<v Speaker 1>that they are actually sound, and we have to look

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<v Speaker 1>at the process we've used to deduce the truth or

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<v Speaker 1>falsehood of the statements that followed from this axiom. This

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<v Speaker 1>falls into an area of logic that I absolutely loved

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<v Speaker 1>studying in college. Now, I'm no von Neumann, not by

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<v Speaker 1>a long shot, but I got a brag for just

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<v Speaker 1>a second. So when I was in college, I took

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<v Speaker 1>a course in symbolic logic, and I found that my

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<v Speaker 1>professor was teaching directly from the textbook. So I made

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<v Speaker 1>a tough decision. I decided to stop going to classes.

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<v Speaker 1>I only took the exams and I aced the course. Now, granted,

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<v Speaker 1>the version of logic I was studying was the most

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<v Speaker 1>basic version of symbolic logic. It was child's play for

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<v Speaker 1>someone like von Neuman. He would have breathed through the

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<v Speaker 1>class back when he was six years old. So I

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<v Speaker 1>can't brag too much, but it did give me a

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<v Speaker 1>little bit of insight into his mind, at least in

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<v Speaker 1>that aspect. I've got a lot more to say about

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<v Speaker 1>John von Neuman. But first, let's take a quick break

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<v Speaker 1>to thank our sponsor. Set theory would become one of

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<v Speaker 1>many areas that von Neuman would continue to study and

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<v Speaker 1>develop over the course of his life. There's a concept

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<v Speaker 1>in mathematics called the von Neuman universe. In fact, although

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<v Speaker 1>some scholars like Gregory H. Moore have gone on to

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<v Speaker 1>say that this attribution is somewhat misleading, but we'll leave

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<v Speaker 1>that for now, because would otherwise be diving into an

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<v Speaker 1>area of mathematics so far outside of my expertise and

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<v Speaker 1>understanding that I would just be reading from textbooks or

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<v Speaker 1>history books, and I don't think that makes very good podcasting.

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<v Speaker 1>In addition to mathematics and chemistry, the young von Neumann

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<v Speaker 1>was also fascinated by technology and aviation, and it began

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<v Speaker 1>to work in an area that would have a really

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<v Speaker 1>big effect on many different different industries, different careers moving forward.

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<v Speaker 1>That would be game theory. Now, personally, I find the

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<v Speaker 1>term game theory to be a little misleading because it

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<v Speaker 1>undersells what it's all about. You could use game theory

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<v Speaker 1>to describe how people play a game like poker, but

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<v Speaker 1>it's actually way more than that. In psychology, you might

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<v Speaker 1>refer to it as the theory of social situations, and

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<v Speaker 1>it really comes down to how human beings interact with

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<v Speaker 1>one another in specific types of situations. And generally you

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<v Speaker 1>can break it down into two large branches, cooperative game

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<v Speaker 1>theory and non cooperative game theory, and the names kind

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<v Speaker 1>of are self explanatory. Cooperative game theory describes how people

0:13:59.440 --> 0:14:03.160
<v Speaker 1>will work together to achieve a common goal. How will

0:14:03.200 --> 0:14:07.360
<v Speaker 1>they leverage their strengths, how will they compensate for their weaknesses,

0:14:08.080 --> 0:14:12.319
<v Speaker 1>how do they manage to go after this goal together.

0:14:12.840 --> 0:14:17.360
<v Speaker 1>Non Cooperative game theory, you could call it competitive game theory,

0:14:17.679 --> 0:14:20.880
<v Speaker 1>describes how intelligent people will interact with each other as

0:14:20.920 --> 0:14:25.840
<v Speaker 1>they each are working toward achieving their individual goals. Now,

0:14:25.880 --> 0:14:30.040
<v Speaker 1>those individual goals might be the same, so it may

0:14:30.040 --> 0:14:32.840
<v Speaker 1>be that everyone's trying to go after the same prize

0:14:32.840 --> 0:14:35.400
<v Speaker 1>and only one person can get it. Or it might

0:14:35.440 --> 0:14:39.120
<v Speaker 1>be that each person has a different individual goal, and

0:14:39.120 --> 0:14:41.960
<v Speaker 1>it may be that some of those individual goals are

0:14:42.000 --> 0:14:46.120
<v Speaker 1>at conflict with one another. For example, maybe my goal

0:14:46.240 --> 0:14:49.280
<v Speaker 1>is to get a certain trophy and someone else's goal

0:14:49.480 --> 0:14:52.320
<v Speaker 1>is to get a certain medal. But the problem is

0:14:52.720 --> 0:14:56.840
<v Speaker 1>that the when one person achieves one of those goals,

0:14:56.880 --> 0:14:59.400
<v Speaker 1>the path to achieving the other one is cut off,

0:14:59.760 --> 0:15:03.360
<v Speaker 1>so that would be another example. Now, John von Neumann

0:15:03.440 --> 0:15:07.160
<v Speaker 1>was not the first mathematician to suggest using mathematics to

0:15:07.840 --> 0:15:11.320
<v Speaker 1>describe game theory, or to study game theory, or to

0:15:11.360 --> 0:15:16.200
<v Speaker 1>come up with various strategies in game theory. Numerous thinkers

0:15:16.240 --> 0:15:21.120
<v Speaker 1>had worked on various applications, some for specific games like chess,

0:15:21.560 --> 0:15:24.360
<v Speaker 1>before von Neuman had ever come onto the scene. But

0:15:25.360 --> 0:15:28.800
<v Speaker 1>von Neuman's work was some of the first general purpose

0:15:29.040 --> 0:15:34.080
<v Speaker 1>game theory work not dedicated to a specific implementation. His

0:15:34.160 --> 0:15:38.920
<v Speaker 1>scholarship effectively established game theory as its own distinct field

0:15:39.000 --> 0:15:42.920
<v Speaker 1>of study. John von Neumann published his first paper on

0:15:43.000 --> 0:15:46.680
<v Speaker 1>game theory in nineteen twenty eight. It had the title

0:15:47.080 --> 0:15:50.880
<v Speaker 1>Theory of Parlor Games. He recognized that a game like

0:15:50.960 --> 0:15:54.600
<v Speaker 1>poker had a lot more going on than just probabilities.

0:15:55.080 --> 0:15:59.720
<v Speaker 1>So if poker just was reliant upon chance, then you

0:15:59.760 --> 0:16:03.960
<v Speaker 1>could memorize all the possible outcomes of a round of cards,

0:16:04.600 --> 0:16:07.280
<v Speaker 1>and you would have a good chance of being able

0:16:07.320 --> 0:16:11.680
<v Speaker 1>to play your hand to the best of its effectiveness. Right,

0:16:11.760 --> 0:16:14.080
<v Speaker 1>you would know that the odds of someone having a

0:16:14.080 --> 0:16:17.440
<v Speaker 1>better hand would be higher or lower than um any

0:16:17.520 --> 0:16:19.880
<v Speaker 1>given hand that you have and that would help you

0:16:19.920 --> 0:16:23.960
<v Speaker 1>make a decision. However, that does not take into account

0:16:24.120 --> 0:16:28.480
<v Speaker 1>the human element of bluffing. So with bluffing, a person

0:16:28.520 --> 0:16:31.440
<v Speaker 1>can act as if his or her hand is stronger

0:16:31.640 --> 0:16:34.840
<v Speaker 1>than it really is, or maybe they are giving off

0:16:35.280 --> 0:16:39.560
<v Speaker 1>the implication that they aren't working with a very strong

0:16:39.640 --> 0:16:43.040
<v Speaker 1>hand and they're hoping that you will get out of

0:16:43.040 --> 0:16:45.800
<v Speaker 1>the game. There's a lot of psychology in their doubt

0:16:46.360 --> 0:16:50.040
<v Speaker 1>enters into the equation. So von Neyman started to work

0:16:50.080 --> 0:16:51.720
<v Speaker 1>on this idea and he saw how it could be

0:16:51.840 --> 0:16:54.800
<v Speaker 1>applicable to all sorts of stuff, not just games, but

0:16:55.080 --> 0:16:59.080
<v Speaker 1>stuff like economics, and he partnered with an Austrian economist

0:16:59.280 --> 0:17:02.920
<v Speaker 1>who was at print Sston University named Oscar Morgan Stern,

0:17:03.000 --> 0:17:06.280
<v Speaker 1>and together they would publish a book titled Theory of

0:17:06.400 --> 0:17:10.280
<v Speaker 1>Games and Economic Behavior. In the introduction of that book,

0:17:10.600 --> 0:17:13.720
<v Speaker 1>they lay out the fact that economics is a really

0:17:13.840 --> 0:17:17.359
<v Speaker 1>complicated science. There are a lot of contributing factors to

0:17:17.520 --> 0:17:21.080
<v Speaker 1>economic outcomes, and not all of them are identified, let

0:17:21.160 --> 0:17:24.800
<v Speaker 1>alone understood. So out of the factors that we can

0:17:24.800 --> 0:17:30.680
<v Speaker 1>say yes, this definitely impacts economics, we don't necessarily understand how,

0:17:31.240 --> 0:17:33.680
<v Speaker 1>but we know it happens, and then there are others

0:17:33.680 --> 0:17:36.760
<v Speaker 1>that we may not have identified yet. So the authors

0:17:36.800 --> 0:17:40.240
<v Speaker 1>maintained that because of that, because of this uncertainty, this

0:17:40.400 --> 0:17:44.159
<v Speaker 1>lack of knowledge, this gap in our knowledge, it's pretty

0:17:44.240 --> 0:17:46.960
<v Speaker 1>much the case that anyone who claims to have a

0:17:47.080 --> 0:17:51.119
<v Speaker 1>universal theory of economics has got to be wrong because

0:17:51.119 --> 0:17:54.040
<v Speaker 1>we don't have that full understanding of all the factors

0:17:54.080 --> 0:17:57.200
<v Speaker 1>and how they interact with one another in any given situation,

0:17:57.280 --> 0:18:01.000
<v Speaker 1>how they're weighted in any given situation. So in a way,

0:18:01.359 --> 0:18:04.920
<v Speaker 1>this would mirror another big challenge von Neuman would encounter later,

0:18:05.040 --> 0:18:07.960
<v Speaker 1>which would involve predicting the weather. I'll talk a bit

0:18:08.000 --> 0:18:10.600
<v Speaker 1>about that in our next episode. Now, one of the

0:18:10.680 --> 0:18:15.400
<v Speaker 1>central concepts of von Neumann's game theory was called mini max.

0:18:15.880 --> 0:18:20.119
<v Speaker 1>Emil Borel had previously theorized about mini max, and this

0:18:20.200 --> 0:18:23.919
<v Speaker 1>is all about minimizing the possible loss in the event

0:18:24.200 --> 0:18:29.040
<v Speaker 1>of a worst case scenario. So, considering considering a scenario

0:18:29.080 --> 0:18:34.240
<v Speaker 1>where the absolute worst happens, the maximum bad happens, how

0:18:34.240 --> 0:18:37.800
<v Speaker 1>do you minimize the impact to you in that event?

0:18:38.359 --> 0:18:41.080
<v Speaker 1>And this could be applied to all sorts of situations.

0:18:41.440 --> 0:18:43.639
<v Speaker 1>How do you limit the setbacks you're going to suffer

0:18:43.960 --> 0:18:48.480
<v Speaker 1>should the worst happen. There's also a concept called maximn

0:18:48.800 --> 0:18:51.000
<v Speaker 1>This is sort of the opposite. How can you make

0:18:51.040 --> 0:18:56.200
<v Speaker 1>the absolute most gains with the minimum success you might

0:18:56.280 --> 0:19:00.399
<v Speaker 1>have in any given scenario. So these two on steps

0:19:00.440 --> 0:19:03.320
<v Speaker 1>together would become part of game theory, and game theory

0:19:03.400 --> 0:19:07.040
<v Speaker 1>wasn't the only scholarly work von Neumann was pursuing in

0:19:07.080 --> 0:19:10.359
<v Speaker 1>the nineteen twenties. At the same time, he was also

0:19:10.440 --> 0:19:14.720
<v Speaker 1>studying quantum mechanics, which would ultimately form the foundation of

0:19:14.760 --> 0:19:19.720
<v Speaker 1>his book, The Mathematical Foundations of Quantum Mechanics. So I've

0:19:19.720 --> 0:19:22.840
<v Speaker 1>talked about quantum mechanics before, but what the heck doesn't

0:19:22.840 --> 0:19:25.679
<v Speaker 1>actually mean. Well, the simple answer is that it's a

0:19:25.720 --> 0:19:32.040
<v Speaker 1>branch of physics that's concerned with the very very very small.

0:19:32.520 --> 0:19:37.199
<v Speaker 1>We're talking atomic and subatomic levels generally. So at that scale,

0:19:37.359 --> 0:19:40.399
<v Speaker 1>the physics that we observe in our day to day lives.

0:19:40.440 --> 0:19:44.120
<v Speaker 1>The behavior of larger stuff, you know, stuff like tractors

0:19:44.119 --> 0:19:47.919
<v Speaker 1>and puppy dogs and skyscrapers and people. The physics that

0:19:47.960 --> 0:19:50.520
<v Speaker 1>we encounter day to day that breaks down when you

0:19:50.560 --> 0:19:54.199
<v Speaker 1>get down to this atomic and subatomic level. So in

0:19:54.240 --> 0:19:57.439
<v Speaker 1>our day to day world, I cannot walk up to

0:19:57.520 --> 0:20:00.840
<v Speaker 1>a wall and then in an instant appear on the

0:20:00.880 --> 0:20:02.800
<v Speaker 1>other side of the wall. I would have to have

0:20:02.840 --> 0:20:05.600
<v Speaker 1>a door to walk through or a window decline through,

0:20:05.840 --> 0:20:08.199
<v Speaker 1>or I'd have to burst kool aid or hulk like

0:20:08.480 --> 0:20:10.920
<v Speaker 1>through the barrier. There would have to be an opening,

0:20:11.200 --> 0:20:13.000
<v Speaker 1>or I would have to make one. Those are the

0:20:13.040 --> 0:20:15.399
<v Speaker 1>only two options if I want to get onto the

0:20:15.400 --> 0:20:17.040
<v Speaker 1>other side of a wall, or I guess I could

0:20:17.040 --> 0:20:19.720
<v Speaker 1>walk around it if if that's an option, but you

0:20:19.760 --> 0:20:23.160
<v Speaker 1>get what I mean. On the quantum level, however, this

0:20:23.240 --> 0:20:26.480
<v Speaker 1>is not the case. You can actually have a quantum

0:20:26.560 --> 0:20:30.720
<v Speaker 1>particle come up to a barrier and sometimes appear on

0:20:30.760 --> 0:20:32.720
<v Speaker 1>the other side of the barrier as if it had

0:20:32.760 --> 0:20:36.240
<v Speaker 1>just passed through, without even having to pass through. This

0:20:36.960 --> 0:20:40.960
<v Speaker 1>tendency can have consequences in our macro world. So take

0:20:40.960 --> 0:20:44.800
<v Speaker 1>electrons for example. So for convenience sake, we talk about

0:20:44.800 --> 0:20:48.919
<v Speaker 1>electrons inhabiting an orbit around a nucleus of an atom,

0:20:49.000 --> 0:20:51.520
<v Speaker 1>and we usually depict this in some way that makes

0:20:51.640 --> 0:20:55.000
<v Speaker 1>sense to us on a macro scale. And you might

0:20:55.080 --> 0:20:58.520
<v Speaker 1>have a very simple drawing where you've got the the

0:20:58.640 --> 0:21:01.359
<v Speaker 1>very uh icon drawing of an atom where you've got

0:21:01.359 --> 0:21:04.080
<v Speaker 1>the nucleus as a big dot in the center, and

0:21:04.080 --> 0:21:07.639
<v Speaker 1>they have a circle around the nucleus, and around in

0:21:07.680 --> 0:21:10.040
<v Speaker 1>that circle you have a dot that represents an electron.

0:21:10.520 --> 0:21:14.080
<v Speaker 1>So that's sort of saying, in this moment of time,

0:21:14.080 --> 0:21:16.960
<v Speaker 1>the electron is right here. But that's misleading. That's not

0:21:17.160 --> 0:21:23.680
<v Speaker 1>really what we can definitively say. Electrons have wave like properties.

0:21:24.119 --> 0:21:27.040
<v Speaker 1>They don't act just as particles. They also connect as

0:21:27.040 --> 0:21:30.800
<v Speaker 1>a wave, and waves don't just abruptly end when they

0:21:30.880 --> 0:21:34.600
<v Speaker 1>hit a barrier. They actually taper off. If the barrier

0:21:34.800 --> 0:21:38.320
<v Speaker 1>is thin enough, some of the wave will continue through

0:21:38.440 --> 0:21:42.360
<v Speaker 1>the barrier to the other side. Now, the wave represents

0:21:42.400 --> 0:21:46.560
<v Speaker 1>a probability function. Now essentially that tells us the chance

0:21:46.720 --> 0:21:50.840
<v Speaker 1>of the electron inhabiting any part along that wave at

0:21:50.880 --> 0:21:55.920
<v Speaker 1>any given time. So that means there is a probability,

0:21:56.000 --> 0:22:00.199
<v Speaker 1>albeit a small one, that the electron could exist on

0:22:00.240 --> 0:22:03.600
<v Speaker 1>the other side the barrier. Because it's it still exists

0:22:03.640 --> 0:22:06.440
<v Speaker 1>on the other side, it represents a probability, and as

0:22:06.480 --> 0:22:08.720
<v Speaker 1>long as there's a probability, it means that sooner or

0:22:08.840 --> 0:22:11.960
<v Speaker 1>later it'll happen. So that means that if you have

0:22:12.080 --> 0:22:15.359
<v Speaker 1>enough electrons near a barrier like this one, some of

0:22:15.400 --> 0:22:19.200
<v Speaker 1>those electrons will just from probability, appear on the other

0:22:19.240 --> 0:22:21.440
<v Speaker 1>side of the barrier as if it had passed through,

0:22:21.520 --> 0:22:24.760
<v Speaker 1>and we call it electron tunneling. Now there's no actual

0:22:24.840 --> 0:22:29.040
<v Speaker 1>tunnel created, there's no hole made in the barrier. It

0:22:29.200 --> 0:22:33.840
<v Speaker 1>just was a fact of probability. There was a small

0:22:33.920 --> 0:22:36.399
<v Speaker 1>probability that the electron could be on the other side,

0:22:36.720 --> 0:22:40.280
<v Speaker 1>and so sometimes that happens. This is one of the

0:22:40.320 --> 0:22:46.320
<v Speaker 1>big challenges that microprocessor manufacturers make when they miniaturize elements

0:22:46.440 --> 0:22:51.040
<v Speaker 1>on the chips because if the gates, the actual gates

0:22:51.040 --> 0:22:55.400
<v Speaker 1>that are controlling the pathway of electrons are thin enough,

0:22:55.960 --> 0:22:59.680
<v Speaker 1>then it's possible for the electron probability function to overlap

0:22:59.800 --> 0:23:02.960
<v Speaker 1>the barrier, and then you have electrons passing through these

0:23:03.040 --> 0:23:06.000
<v Speaker 1>gates as if they were open even when they're closed,

0:23:06.080 --> 0:23:09.080
<v Speaker 1>and that creates errors. So that's why this has real

0:23:09.119 --> 0:23:14.240
<v Speaker 1>world uh impact, even though we don't see this kind

0:23:14.280 --> 0:23:16.480
<v Speaker 1>of behavior in the macro world. Like I said, I

0:23:16.480 --> 0:23:20.280
<v Speaker 1>can't walk up to a wall and then magically appear

0:23:20.320 --> 0:23:23.480
<v Speaker 1>on the other side of it just because of probability.

0:23:23.520 --> 0:23:27.000
<v Speaker 1>There's zero probability that that will happen. Concepts like these

0:23:27.000 --> 0:23:29.400
<v Speaker 1>are hard to wrap our minds around because we occupy

0:23:29.440 --> 0:23:32.639
<v Speaker 1>a world in which quantum mechanics do not apply. This

0:23:32.720 --> 0:23:35.679
<v Speaker 1>is also or if they do apply, they apply, it's

0:23:35.760 --> 0:23:39.879
<v Speaker 1>such a tiny, tiny amount that it's imperceptible to us.

0:23:40.000 --> 0:23:42.320
<v Speaker 1>So this is why I get grouchy when I see

0:23:42.359 --> 0:23:45.320
<v Speaker 1>people try to use these concepts from quantum mechanics to

0:23:45.400 --> 0:23:48.920
<v Speaker 1>describe or predict stuff in our real world macro environments,

0:23:48.960 --> 0:23:51.800
<v Speaker 1>because it really doesn't apply there, at least not on

0:23:51.840 --> 0:23:56.440
<v Speaker 1>a level that is at all, you know, noticeable. At

0:23:56.440 --> 0:24:01.960
<v Speaker 1>this point, you're either dangerously close to using pseudoscience or

0:24:02.200 --> 0:24:05.760
<v Speaker 1>you've fully jumped into the pseudo science science boat. So

0:24:06.160 --> 0:24:09.800
<v Speaker 1>be where people who try to describe real world scenarios

0:24:09.840 --> 0:24:15.760
<v Speaker 1>in quantum mechanics um you know, methods or approaches. I've

0:24:15.800 --> 0:24:17.560
<v Speaker 1>got more to say about John von Neuman in just

0:24:17.640 --> 0:24:20.480
<v Speaker 1>a second, but first let's take another quick break to

0:24:20.560 --> 0:24:30.600
<v Speaker 1>thank our sponsor. Now, John von Neumann was working on

0:24:30.680 --> 0:24:34.879
<v Speaker 1>quantum mechanics at a really exciting time. Heisenberg had just

0:24:34.960 --> 0:24:38.560
<v Speaker 1>proposed his uncertainty principle. Now that's largely based off the

0:24:38.600 --> 0:24:40.800
<v Speaker 1>fact that matter can act as both a wave and

0:24:40.840 --> 0:24:43.399
<v Speaker 1>a particle, and that would mean there's a limit to

0:24:43.480 --> 0:24:47.399
<v Speaker 1>how precisely. We might know a particle's properties, like an

0:24:47.400 --> 0:24:50.680
<v Speaker 1>electron's position and speed, for example. So the more precisely

0:24:50.760 --> 0:24:53.199
<v Speaker 1>we know one of those two things, the less we

0:24:53.280 --> 0:24:55.480
<v Speaker 1>know about the other. So the more precisely we can

0:24:56.080 --> 0:24:59.080
<v Speaker 1>talk about the electron's position, the less we know about

0:24:59.080 --> 0:25:03.200
<v Speaker 1>its speed, and vice versa. John von Neumann's contributions were

0:25:03.359 --> 0:25:07.600
<v Speaker 1>unsurprisingly related to the application of mathematics when it comes

0:25:07.640 --> 0:25:12.439
<v Speaker 1>to quantum mechanics. Von Neumann's emphasis was on mathematical rigor.

0:25:12.840 --> 0:25:16.200
<v Speaker 1>That is, his approach emphasized the degree to which a

0:25:16.280 --> 0:25:21.600
<v Speaker 1>mathematical representation of a concept and quantum physics is logically sound.

0:25:21.800 --> 0:25:26.560
<v Speaker 1>He wanted the math to be as strong and a

0:25:26.800 --> 0:25:31.000
<v Speaker 1>method of proof as possible to logically support these various

0:25:31.040 --> 0:25:34.159
<v Speaker 1>principles and quantum mechanics. Now, that put his approach in

0:25:34.359 --> 0:25:38.600
<v Speaker 1>contrast with a another physicist named Paul de rac who

0:25:38.720 --> 0:25:43.480
<v Speaker 1>argued for a more pragmatic approach that was less mathematically rigorous,

0:25:43.720 --> 0:25:46.280
<v Speaker 1>but it was also more efficient. It was easier to apply,

0:25:46.640 --> 0:25:49.280
<v Speaker 1>and it would lead to conclusions that were easier to

0:25:49.440 --> 0:25:53.760
<v Speaker 1>understand than these very complicated mathematical formulas. So you had

0:25:53.800 --> 0:25:57.760
<v Speaker 1>these two very different styles coming at quantum mechanics at

0:25:57.760 --> 0:26:01.160
<v Speaker 1>the same time. So John VA Neuman. By the late

0:26:01.240 --> 0:26:05.480
<v Speaker 1>nineteen twenties was already something of an intellectual celebrity, at

0:26:05.520 --> 0:26:09.040
<v Speaker 1>least in academic circles, and he was doing groundbreaking work

0:26:09.240 --> 0:26:13.679
<v Speaker 1>in game theory and quantum mechanics. In ninety nine, he

0:26:13.760 --> 0:26:17.400
<v Speaker 1>was invited to lecture at Princeton University on the subject

0:26:17.480 --> 0:26:19.760
<v Speaker 1>of quantum theory, and he said he would be happy

0:26:19.840 --> 0:26:22.320
<v Speaker 1>to do so, but first he had to attend to

0:26:22.400 --> 0:26:26.359
<v Speaker 1>a small personal matter. That small personal matter was a wedding.

0:26:26.960 --> 0:26:31.040
<v Speaker 1>His wedding, he got married to a woman named Marietta Covechi.

0:26:31.440 --> 0:26:35.119
<v Speaker 1>Now Covechi and von Neumann had known each other since childhood.

0:26:35.320 --> 0:26:39.879
<v Speaker 1>Covechi was a talented economics student at the University of Budapest.

0:26:40.240 --> 0:26:44.359
<v Speaker 1>She was also something of a socialite in Hungary. She

0:26:44.520 --> 0:26:48.440
<v Speaker 1>was known for appearing at parties and being very glamorous.

0:26:48.680 --> 0:26:52.680
<v Speaker 1>Von Neumann was also a fan of the nightlife. Apparently,

0:26:52.680 --> 0:26:55.119
<v Speaker 1>he was quite well known as a patron of the

0:26:55.160 --> 0:26:58.840
<v Speaker 1>cabaret circuit in Berlin. He would teach in the daytime

0:26:58.880 --> 0:27:00.960
<v Speaker 1>and go out for a night on the town in

0:27:01.000 --> 0:27:04.160
<v Speaker 1>the evening, and his love of parties and alcohol would

0:27:04.200 --> 0:27:07.720
<v Speaker 1>follow him as he relocated to the United States. In

0:27:07.760 --> 0:27:12.080
<v Speaker 1>addition to marrying Covechi, von Neumann converted from being a

0:27:12.119 --> 0:27:16.119
<v Speaker 1>nonpracticing Jew to a Catholic. Now this was not an

0:27:16.200 --> 0:27:20.040
<v Speaker 1>indication that he had found religion. He was agnostic through

0:27:20.200 --> 0:27:22.440
<v Speaker 1>most of his life. I'll talk a little bit about

0:27:22.440 --> 0:27:25.120
<v Speaker 1>that in the next episode as well. It was more

0:27:25.200 --> 0:27:28.119
<v Speaker 1>of a practical decision so that he could actually marry Covechi.

0:27:28.320 --> 0:27:31.560
<v Speaker 1>So he converts to Catholicism and then he and his

0:27:31.720 --> 0:27:36.600
<v Speaker 1>newlywed wife move over to the United States. Now, von

0:27:36.720 --> 0:27:40.679
<v Speaker 1>Neuman would become a professor at Princeton, but reportedly it

0:27:40.760 --> 0:27:43.400
<v Speaker 1>was one of the few things in academia that he

0:27:43.440 --> 0:27:46.160
<v Speaker 1>was not great at, or at least people didn't really

0:27:47.040 --> 0:27:49.439
<v Speaker 1>like his style. So the trouble mostly appeared to be

0:27:49.520 --> 0:27:54.280
<v Speaker 1>that von Neuman was super duper wicked smart, and he

0:27:54.320 --> 0:27:57.360
<v Speaker 1>had a phenomenal memory as well, so he could work

0:27:57.400 --> 0:28:00.800
<v Speaker 1>out complex equations in his head, and he would leap

0:28:00.840 --> 0:28:04.440
<v Speaker 1>around the topic quickly, which left a lot of students

0:28:04.560 --> 0:28:08.119
<v Speaker 1>struggling in his wake. They couldn't keep up, they didn't

0:28:08.160 --> 0:28:10.639
<v Speaker 1>weren't able to connect the dots like he was. He

0:28:10.760 --> 0:28:14.159
<v Speaker 1>got a reputation for scribbling out important equations hurriedly on

0:28:14.200 --> 0:28:16.840
<v Speaker 1>a chalkboard and then erasing them before anyone knew what

0:28:16.880 --> 0:28:20.719
<v Speaker 1>they meant or could even copy them down. However, he

0:28:20.840 --> 0:28:24.159
<v Speaker 1>also had a reputation for being able to communicate complicated

0:28:24.200 --> 0:28:27.240
<v Speaker 1>ideas in a very straightforward way in a one on

0:28:27.240 --> 0:28:31.520
<v Speaker 1>one setting that would allegedly make sense even to dullards

0:28:31.560 --> 0:28:34.560
<v Speaker 1>like myself if I had been given the opportunity. Now,

0:28:34.600 --> 0:28:38.120
<v Speaker 1>since von Neuman died decades before I was born, I

0:28:38.160 --> 0:28:40.680
<v Speaker 1>can't actually put this claim to the test, but by

0:28:40.680 --> 0:28:44.520
<v Speaker 1>many accounts, he was talented at explaining complicated ideas to

0:28:44.560 --> 0:28:47.680
<v Speaker 1>people who didn't have the expertise in mathematics to understand

0:28:47.720 --> 0:28:50.720
<v Speaker 1>all of the bells and whistles. In nineteen thirty three,

0:28:50.880 --> 0:28:53.680
<v Speaker 1>he was named a mathematics professor for the Institute for

0:28:53.760 --> 0:28:58.640
<v Speaker 1>Advanced Study in Princeton. That was a brand new department.

0:28:59.000 --> 0:29:02.040
<v Speaker 1>He was one of the six experts in the original

0:29:02.160 --> 0:29:06.479
<v Speaker 1>group of professors. He was also the youngest of those six. Uh.

0:29:06.600 --> 0:29:11.000
<v Speaker 1>Those professors included some really smart people, including one that

0:29:11.080 --> 0:29:14.400
<v Speaker 1>I'm sure you've all heard about. That would be Albert Einstein,

0:29:14.520 --> 0:29:18.280
<v Speaker 1>so he was in really good company. Three was also

0:29:18.320 --> 0:29:20.479
<v Speaker 1>the last year that von Neumann would lecture for a

0:29:20.600 --> 0:29:23.200
<v Speaker 1>term in Germany. He was going back and forth. He

0:29:23.240 --> 0:29:25.280
<v Speaker 1>would do a term in Germany, he would come back

0:29:25.280 --> 0:29:26.920
<v Speaker 1>and do a term in the United States, and so

0:29:27.000 --> 0:29:30.719
<v Speaker 1>on and so forth. The Nazi Party, however, was starting

0:29:30.760 --> 0:29:35.040
<v Speaker 1>to consolidate power in Europe around this time, so Neuman

0:29:35.120 --> 0:29:38.440
<v Speaker 1>withdrew to work solely in the United States. Now, some

0:29:38.520 --> 0:29:41.280
<v Speaker 1>of his peers would leave continental Europe in an effort

0:29:41.320 --> 0:29:44.240
<v Speaker 1>to escape the Nazi regime as it got more powerful,

0:29:44.480 --> 0:29:47.240
<v Speaker 1>but von Neuman had already relocated in an effort to

0:29:47.280 --> 0:29:50.000
<v Speaker 1>find steady employment as an academic. Now I say this

0:29:50.520 --> 0:29:53.440
<v Speaker 1>only because as I was researching von Neumann, I came

0:29:53.480 --> 0:29:56.520
<v Speaker 1>across differing accounts, some of which said, you know, he

0:29:56.560 --> 0:29:59.440
<v Speaker 1>was fleeing the Nazi regime. But from the information I

0:29:59.480 --> 0:30:02.120
<v Speaker 1>could find, it sounded more like he was looking for

0:30:02.160 --> 0:30:05.080
<v Speaker 1>a steady gig and he got one at Princeton, and

0:30:05.120 --> 0:30:08.040
<v Speaker 1>that was the guiding force in his decision. It just

0:30:08.280 --> 0:30:12.000
<v Speaker 1>happened to pre date the rise of Nazis in Europe,

0:30:12.280 --> 0:30:14.280
<v Speaker 1>so he had already left by the time the Nazi

0:30:14.320 --> 0:30:18.160
<v Speaker 1>Party was starting to pick up steam in Germany in

0:30:18.200 --> 0:30:21.640
<v Speaker 1>the mid nineteen thirties. Von Neumann would become interested in

0:30:21.680 --> 0:30:25.920
<v Speaker 1>the problem of hydro dynamic turbulence and the theory of shocks.

0:30:26.520 --> 0:30:30.800
<v Speaker 1>This would become really important the next decade. This area

0:30:30.840 --> 0:30:34.600
<v Speaker 1>of interest was also really complicated. Is so complicated even

0:30:34.680 --> 0:30:38.440
<v Speaker 1>von Neuman's mind couldn't tackle some of these equations because

0:30:38.680 --> 0:30:43.360
<v Speaker 1>hydro dynamics is very counterintuitive, especially when it comes into

0:30:43.600 --> 0:30:46.600
<v Speaker 1>shock waves. So he would need a device to help

0:30:46.680 --> 0:30:50.840
<v Speaker 1>him suss out the more complicated nuances, and that began

0:30:51.000 --> 0:30:54.400
<v Speaker 1>von Neuman's interest in computer science. I'll talk a lot

0:30:54.480 --> 0:30:56.920
<v Speaker 1>more about that in the next episode as well. Now,

0:30:56.960 --> 0:31:00.280
<v Speaker 1>in his personal life, John and his wife Marriott had

0:31:00.320 --> 0:31:03.680
<v Speaker 1>a daughter named Marina, but von Neuman's private life was

0:31:03.760 --> 0:31:09.040
<v Speaker 1>not one of matrimonial bliss. According to biographies I researched,

0:31:09.240 --> 0:31:12.640
<v Speaker 1>he was affectionate towards his daughter, but he wasn't really

0:31:12.680 --> 0:31:16.040
<v Speaker 1>involved in her upbringing at all, or in the care

0:31:16.160 --> 0:31:19.160
<v Speaker 1>of the household in general. He considered that to be

0:31:19.240 --> 0:31:21.760
<v Speaker 1>the work for his wife, and that he was going

0:31:21.800 --> 0:31:25.840
<v Speaker 1>to just dedicate himself to his scholarly work and then

0:31:25.880 --> 0:31:30.000
<v Speaker 1>tying one on occasionally getting rip roaring drunk at parties.

0:31:30.480 --> 0:31:33.240
<v Speaker 1>That was his Those were his two interests. So his

0:31:33.280 --> 0:31:36.840
<v Speaker 1>relationship was strained. Now, Eventually Marriott would leave him and

0:31:37.000 --> 0:31:41.280
<v Speaker 1>the two would divorce. Interestingly, Marriette would go on to

0:31:41.360 --> 0:31:45.920
<v Speaker 1>Mary again. She married a physicist named James Brown Horner Cruper,

0:31:46.640 --> 0:31:50.920
<v Speaker 1>sometimes known as Desmond for some reason. This guy Cooper.

0:31:50.960 --> 0:31:54.000
<v Speaker 1>He was part of the radiation laboratory at m I T.

0:31:54.560 --> 0:31:57.080
<v Speaker 1>And you might remember I talked a lot about that

0:31:57.120 --> 0:32:01.000
<v Speaker 1>particular lab on my episodes about Alfred Loomis. So if

0:32:01.000 --> 0:32:03.040
<v Speaker 1>you want to learn more about that, look into the

0:32:03.040 --> 0:32:06.040
<v Speaker 1>Tech Stuff archives for the Alfred Loomis stories. Now, von

0:32:06.160 --> 0:32:09.320
<v Speaker 1>Neuman would be married a second time. His second wife

0:32:09.640 --> 0:32:14.320
<v Speaker 1>was Clara Dan. Clara was, like von Neuman, from Budapest.

0:32:14.680 --> 0:32:18.000
<v Speaker 1>She was also from a wealthy Jewish family. She was

0:32:18.040 --> 0:32:21.320
<v Speaker 1>born in nineteen eleven. As a teenager, she had become

0:32:21.360 --> 0:32:26.720
<v Speaker 1>a championship figure skater. She also had been married twice already.

0:32:26.720 --> 0:32:28.680
<v Speaker 1>She got married in nineteen thirty one to a man

0:32:28.760 --> 0:32:32.240
<v Speaker 1>named Farrank Ingle, but they were divorced a few years later.

0:32:32.960 --> 0:32:35.520
<v Speaker 1>Her second marriage was in ninety six to a man

0:32:35.640 --> 0:32:40.200
<v Speaker 1>named and Or Rapos. He was still married to her

0:32:40.280 --> 0:32:44.800
<v Speaker 1>when von Neuman struck up a relationship with her, so

0:32:44.960 --> 0:32:47.800
<v Speaker 1>they were technically they were both having affairs because von

0:32:47.880 --> 0:32:51.160
<v Speaker 1>Neuman's marriage had not come to an indiet the divorce

0:32:51.240 --> 0:32:55.880
<v Speaker 1>was still in process, so they end up getting into

0:32:55.920 --> 0:32:59.640
<v Speaker 1>a relationship with each other. Clara ends up divorcing her husband,

0:33:00.040 --> 0:33:03.120
<v Speaker 1>then Mary's von Neumann, and together they immigrate to the

0:33:03.160 --> 0:33:06.520
<v Speaker 1>United States. Clara was a remarkable woman in her own right.

0:33:06.640 --> 0:33:10.960
<v Speaker 1>Absolutely she made significant contributions. She would become the head

0:33:11.000 --> 0:33:14.760
<v Speaker 1>of statistical computing over at Princeton. She would become one

0:33:14.840 --> 0:33:19.480
<v Speaker 1>of the early computer programmers of the Mathematical Analyzer, Numerical Integrator,

0:33:19.520 --> 0:33:23.240
<v Speaker 1>and computer a k A. Maniac. More on that in

0:33:23.200 --> 0:33:28.440
<v Speaker 1>the next episode two. And she was also a tragic figure.

0:33:28.920 --> 0:33:33.040
<v Speaker 1>So John von Neumann died in nineteen fifty seven not

0:33:33.120 --> 0:33:36.080
<v Speaker 1>a spoiler alert, happened decades ago, but we'll talk about

0:33:36.120 --> 0:33:39.400
<v Speaker 1>that more in the next episode two. So after his death,

0:33:40.040 --> 0:33:42.480
<v Speaker 1>she would go on to Mary for a fourth time.

0:33:42.560 --> 0:33:45.480
<v Speaker 1>This time it was to a physicist named Carl Eckhart,

0:33:45.880 --> 0:33:48.880
<v Speaker 1>and in nineteen sixty three, she drove out to a

0:33:48.880 --> 0:33:53.600
<v Speaker 1>secluded beach in California. She walked out into the surf

0:33:54.280 --> 0:33:57.920
<v Speaker 1>and she drowned. The San Diego Coroner's office would rule

0:33:58.000 --> 0:34:01.760
<v Speaker 1>her death a suicide, so a very tragic ending for

0:34:01.800 --> 0:34:06.520
<v Speaker 1>her back to von Neuman to To wrap up this episode,

0:34:06.800 --> 0:34:09.560
<v Speaker 1>I've covered a lot of his work, his early work

0:34:09.600 --> 0:34:12.560
<v Speaker 1>in mathematics. In our next episode, we're going to learn

0:34:12.560 --> 0:34:16.920
<v Speaker 1>more about his involvement in the Manhattan Project. That's the

0:34:17.120 --> 0:34:20.600
<v Speaker 1>of course, the super secret project that was dedicated to

0:34:20.640 --> 0:34:23.719
<v Speaker 1>designing the atomic bomb. We'll also learned about how he

0:34:23.719 --> 0:34:27.319
<v Speaker 1>helped design computer systems, and we'll learn more about some

0:34:27.360 --> 0:34:30.879
<v Speaker 1>of his contributions to tech and science, as well as

0:34:31.800 --> 0:34:35.360
<v Speaker 1>some of what people have generously described as his personality quirks.

0:34:35.880 --> 0:34:39.000
<v Speaker 1>I would call them severe character flaws. We'll talk more

0:34:39.000 --> 0:34:41.400
<v Speaker 1>about those in the next episode. If you want to

0:34:41.480 --> 0:34:43.400
<v Speaker 1>learn more about the show, including how to get in

0:34:43.440 --> 0:34:46.279
<v Speaker 1>touch with me, go over to our website the addresses

0:34:46.320 --> 0:34:50.160
<v Speaker 1>tech Stuff Podcast dot com, and don't forget we have

0:34:50.200 --> 0:34:52.880
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0:34:52.880 --> 0:34:55.160
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0:34:55.560 --> 0:34:59.040
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0:34:59.040 --> 0:35:01.000
<v Speaker 1>you make goes to hell the show and we greatly

0:35:01.040 --> 0:35:04.479
<v Speaker 1>appreciate it. And I'll talk to you again really soon

0:35:10.200 --> 0:35:12.640
<v Speaker 1>for more on this and thousands of other topics because

0:35:12.680 --> 0:35:23.799
<v Speaker 1>it how stuff works dot com