WEBVTT - Part One: Jeff Bezos and the Birth of Amazon

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<v Speaker 1>Robert Evans. Here awake the earliest we have ever been

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<v Speaker 1>awake to record a podcast. I take you seriously exhausted.

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<v Speaker 1>Just this is Behind the Bastards, a podcast where one intrepid,

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<v Speaker 1>dogged journalist braves the difficulty of being up barely. What

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<v Speaker 1>is it five and a half hours after dawn? My god? Literally?

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<v Speaker 1>Now it is love and twenty three. Yeah. Well, our

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<v Speaker 1>guest today on this very special episode of Behind the

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<v Speaker 1>Bastards is the great Jake Hanrahan. How you doing, buddy, Yeah,

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<v Speaker 1>I'm good man, I'm good good, Yeah, feeling good man? Yeah?

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<v Speaker 1>Is it? Is it an ungodly early hour over there too? No,

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<v Speaker 1>it's like seven pm, seven pm. You know, I'm gonna

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<v Speaker 1>see that. That's that's a nice reasonable hour to be awake.

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<v Speaker 1>Mm hmm. Speaking of reasonable, Jake, how do you feel

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<v Speaker 1>about Amazon? Well, it's funny you ask, because I'm then

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<v Speaker 1>this new series called Mega cool. But what about really? Um?

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<v Speaker 1>Yeah yeah, yeah, um yeah. They're like I was saying

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<v Speaker 1>to you guys before we kind of went on, are

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<v Speaker 1>like the more research are doing this, it's just like

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<v Speaker 1>it's almost like comically villainous to a point, you know

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<v Speaker 1>what I mean? And I'm not really wanted to be

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<v Speaker 1>shrill like that, but it actually is like that. It's

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<v Speaker 1>mad like what they're getting up to, it's deeply unsettling,

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<v Speaker 1>and it's kind of weird when you actually realize how

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<v Speaker 1>recent like they became so dominant so quickly that people

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<v Speaker 1>don't think about like twos and fourteen, Amazon was not

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<v Speaker 1>the huge deal, Like it's just like it was not

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<v Speaker 1>a small company, but like, yeah, they were more than

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<v Speaker 1>books by that, but they weren't this like beheemoth that

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<v Speaker 1>was doing everything. And like it's it's weird how quickly

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<v Speaker 1>a lot of this stuff slotted into place, and you've

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<v Speaker 1>got mega corps going on, which is great, and you're

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<v Speaker 1>kind of going through methodically the crimes of Amazon, and

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<v Speaker 1>the crimes of Amazon are are also one way or

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<v Speaker 1>the other, the crimes of the founder of Amazon, Jeff Bezos.

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<v Speaker 1>And so I wanted to do something a little bit

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<v Speaker 1>different this week. Normally on Behind the Bastards, when we

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<v Speaker 1>cover a guy like Bezos, and we've done, you know,

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<v Speaker 1>our episodes on Bill Gates, on Musk, on uh Zuckerberg,

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<v Speaker 1>we would do like an episode covering his early life,

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<v Speaker 1>and then we would do two or three episodes giving

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<v Speaker 1>the greatest hits of the crimes, but you're going through

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<v Speaker 1>all of the things that are fucked up about Amazon

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<v Speaker 1>bit by bit. So I felt like we would do

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<v Speaker 1>an episode on bastards that's kind of uh leading people

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<v Speaker 1>into Mega corp um. So this episode is more detailed

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<v Speaker 1>than a lot um and we're gonna go into the

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<v Speaker 1>early life of Jeffrey Bezos and we're gonna end a

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<v Speaker 1>little bit on on some specific actions of his that

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<v Speaker 1>I think are horrible. But really, more than anything, I

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<v Speaker 1>want to give people a sense of who this guy

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<v Speaker 1>is so that when they listen into all of the

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<v Speaker 1>you know to the the union busting in, the in

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<v Speaker 1>the worker uh running into the ground, and the hiring

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<v Speaker 1>of Nazis and that sort of thing, when they get

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<v Speaker 1>into that on your show, they can know who the

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<v Speaker 1>man is that that made it all possible. Absolutely, yeah, Yeah,

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<v Speaker 1>what do you know about Mr Bezos? Well, to be honest,

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<v Speaker 1>I've been more focused at the minute on like kind

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<v Speaker 1>of you know, the various different scandals that the company

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<v Speaker 1>has birthed. But what I do know is he's very

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<v Speaker 1>kind of unapologic. You know, there's a lot of stuff,

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<v Speaker 1>you know, I think even in one of the one

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<v Speaker 1>of the first two episodes that's already been out, just

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<v Speaker 1>like quotes where he's just like, no, this is not true.

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<v Speaker 1>I've read several things where there's just irrefutable proof of

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<v Speaker 1>like horrific injuries happening, like you know, you're eight percent

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<v Speaker 1>more likely to get wounded in an Amazon warehouse than

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<v Speaker 1>any other warehouse in their industry. And then when when

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<v Speaker 1>he was speaking about this, he was just like, yeah,

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<v Speaker 1>the media is lying. It's it's just like crazy, Like

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<v Speaker 1>he's just like it's kind of he's the kind of

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<v Speaker 1>post the way I guess for business when it comes

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<v Speaker 1>to the kind of post scandalierra where he's like, yeah, no,

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<v Speaker 1>it's not real, and it's like, well it is. But

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<v Speaker 1>he just he just very much embraces that thing of

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<v Speaker 1>like tough luck. You know. Yeah, there's this u there's

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<v Speaker 1>this term people used for Steve Jobs, the reality distortion field,

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<v Speaker 1>And usually when they were talking about it, it it was

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<v Speaker 1>his ability to like kind of make get people hyped

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<v Speaker 1>up about products, his ability to like get his workers

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<v Speaker 1>to work unreasonably in order to like meet deadlines, and

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<v Speaker 1>his ability to make people believe that he was doing

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<v Speaker 1>something magic with these products he was making, and Bezos

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<v Speaker 1>seems to have that for the impact of his I don't.

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<v Speaker 1>I don't know. It's weird, like it's there's this degree

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<v Speaker 1>to which like everything seems to slide off him at

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<v Speaker 1>this point. And I don't know that it's much that

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<v Speaker 1>he's distorted reality. Is like he's made Amazon foundational to

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<v Speaker 1>daily reality for so many people that like, yeah, I

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<v Speaker 1>mean that's messed up, but what are we going to do? Uh? Right?

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<v Speaker 1>And it's so big, so much money. Is he's kind

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<v Speaker 1>of a point where he doesn't, he doesn't really have

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<v Speaker 1>to pay attention, you know, to these bad things. I mean,

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<v Speaker 1>if you had a soul and a heart, you would.

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<v Speaker 1>But you know, I think from from some of the

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<v Speaker 1>things I've read and the way that he allows it

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<v Speaker 1>to happen on Amazon, um, you know, I think he's

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<v Speaker 1>quite happy to just be like, yeah, tough luck. Yeah.

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<v Speaker 1>And we'll get into that. But it is interesting I

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<v Speaker 1>think that. Um. I think one thing for people to

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<v Speaker 1>consider at the start of this, because I've been thinking

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<v Speaker 1>about this myself, is how true is the statement my

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<v Speaker 1>life as I live it right now doesn't work without Amazon?

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<v Speaker 1>Um in terms of like how you get your groceeries.

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<v Speaker 1>How you get stuff for your job if you like work,

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<v Speaker 1>you know remotely, how you get things that you know

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<v Speaker 1>your employees need to you. If you run a business,

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<v Speaker 1>how you get or how you sell like things in

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<v Speaker 1>that business. Um Like, for my part, I've got a

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<v Speaker 1>huge amount of my workload is on Kindle, just because

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<v Speaker 1>the ease eiest way to get research off of a

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<v Speaker 1>book is to highlight it in any book and then

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<v Speaker 1>like you can kind of copy and paste the text

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<v Speaker 1>and do a research doc. It's much easier than just

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<v Speaker 1>like going through a paperback book. Um, which is I

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<v Speaker 1>guess a small example of it. But like I know,

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<v Speaker 1>I have a couple of friends who run small businesses.

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<v Speaker 1>I have a friend who's a teacher, Like they are everybody.

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<v Speaker 1>Everybody knows how fun up Amazon is, and everybody's also like,

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<v Speaker 1>well what else am I gotta do? And that is

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<v Speaker 1>wh you know we are? You know, you're right, It's

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<v Speaker 1>like I use Amazon still my book is on sale

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<v Speaker 1>through Amazone, you know what I mean. But it's like

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<v Speaker 1>I said, in like you know, episode kind of the

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<v Speaker 1>zero of the kind of prologue to Mega Corp. I'm

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<v Speaker 1>not telling people like don't use them. You're bad if

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<v Speaker 1>you use them, you know, be an activist, boycott them.

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<v Speaker 1>I'm not saying that. I'm just saying, if you are

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<v Speaker 1>using them, I think you the very least you should

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<v Speaker 1>know what they're doing to workers, you know what I mean.

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<v Speaker 1>And I think that's important. And I've had a lot

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<v Speaker 1>of workers and like people just message me already just

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<v Speaker 1>being like absolutely, like thanks for saying. You know. They're

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<v Speaker 1>not like let's burn Amazon. They're just like, we just

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<v Speaker 1>want fairer working conditions, you know what I mean. And

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<v Speaker 1>it's like it's really not. It's not that difficult, you know,

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<v Speaker 1>it's really not. But they still don't provide it for them. No,

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<v Speaker 1>And it is that thing that like, yeah, in a

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<v Speaker 1>world as connected as ours, with things that rely on

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<v Speaker 1>on technology as ours, and with a plague racing through

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<v Speaker 1>where our ability to go places to get things is disrupted, Yeah,

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<v Speaker 1>I mean, something like Amazon is going to be necessary. Um,

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<v Speaker 1>you know, and we can also talk about like consumption

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<v Speaker 1>patterns and whatnot, but like our in our current society,

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<v Speaker 1>something like it is necessary. Um, but is the suffering

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<v Speaker 1>is like all of the fucking ship that comes along

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<v Speaker 1>with it? Um? I would argue hopefully not. And I

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<v Speaker 1>think the reason that there's so much suffering associated with

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<v Speaker 1>it that like it's that the company has as many

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<v Speaker 1>horrible stories as you've been finding on a daily basis

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<v Speaker 1>is because of the guy who founded it. Because Amazon

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<v Speaker 1>is very much made in the image of its creator,

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<v Speaker 1>Jeffrey Preston Jourgensen. That's right, Jenson, Um not Bezos. He

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<v Speaker 1>was not born Jeffrey Bezos. He was, however, born on

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<v Speaker 1>January twelfth, nineteen sixty four, in Albuquerque, New Mexico. I

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<v Speaker 1>did not expect him to be an Albuquerque baby. Um,

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<v Speaker 1>but he's he's real. He's he's spent most of his

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<v Speaker 1>upbringing in like the south and Southwest, um, kind of

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<v Speaker 1>similar area that I did. His dad, Theodore Jorgenson, was

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<v Speaker 1>nineteen and his mother, Jacqueline Geese, was seventeen. UM. So

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<v Speaker 1>this is a little bit of like a ah uh,

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<v Speaker 1>a problematic union. You know. Um, Theodore is out of

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<v Speaker 1>high school. His his Jeffrey's mom is still in high school.

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<v Speaker 1>There's a two year age difference, which isn't huge, but

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<v Speaker 1>the fact that he's graduated she's in high school is

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<v Speaker 1>a little bit of especially for like the families kind

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<v Speaker 1>of like this, like type deal um and she struggles

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<v Speaker 1>to finish her high school degree while Jeff is growing

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<v Speaker 1>inside of her. Um. Theodore Jorgensen was not very good

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<v Speaker 1>at actually providing for the family. He was a high

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<v Speaker 1>wire unicyclist and a circus performer, and he was obsessed

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<v Speaker 1>with his dreams of unicycle greatness. At one point he

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<v Speaker 1>tried to get on the Ed Sullivan Show. This was

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<v Speaker 1>like the most important thing to him, and he neglected

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<v Speaker 1>his family for the unicycle. It's a dream. It's one

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<v Speaker 1>of those things. It's one of those things, like of

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<v Speaker 1>of the things I did not call and Jeff bezos backstory.

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<v Speaker 1>Dad abandoned them for the unicycle would not have been

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<v Speaker 1>um and and by the way, I should know we'll

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<v Speaker 1>talk a little bit more about this. But Jeff grows

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<v Speaker 1>up knowing none of this. He knows nothing. He doesn't

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<v Speaker 1>know his dad's name um as a as for decades.

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<v Speaker 1>So Theodore tries briefly to do like the family thing

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<v Speaker 1>with Jacqueline and Jeff. They move in together. They have

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<v Speaker 1>their kind of Brenda in any moment, but it turns

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<v Speaker 1>out it's hard to make a living as a unicyclist.

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<v Speaker 1>So Theodore is forced to make ends meet at an

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<v Speaker 1>apartment store. This makes him miserable because again his dream

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<v Speaker 1>is the open unicycle road. UM. So he takes to

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<v Speaker 1>drinking more and more. UM. I don't believe he's like abusive.

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<v Speaker 1>He's just like kind of not there. He's just like,

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<v Speaker 1>is incapable of really engaging as a father. UM. His

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<v Speaker 1>father in law, Jeff's father in law. UM, so his

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<v Speaker 1>his his his mom's dad tried to get him a job,

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<v Speaker 1>Theodore a job with the state police, but Theodore couldn't

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<v Speaker 1>be arsked to do that. Eventually, Jackie gave up on

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<v Speaker 1>him and took baby jeff aged seventeen months, and moved

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<v Speaker 1>back in with her parents. She filed for divorce and

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<v Speaker 1>got it. Theo continued to visit his kid on and

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<v Speaker 1>off for a little while, but he missed every child

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<v Speaker 1>support payment that he ever had to make because he

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<v Speaker 1>had absolutely no money. Now, this is not the best

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<v Speaker 1>case scenario for a new child coming into the world.

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<v Speaker 1>I think we can agree, but we widow Jeffy had

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<v Speaker 1>a few things in his corner to offset the fact

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<v Speaker 1>that his bio dad was sort of a deadbeat. For

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<v Speaker 1>one thing, both his maternal and paternal grandparents had a

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<v Speaker 1>lot of resources. So his his dad's dad, um was

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<v Speaker 1>a purchase agent for Sanda Military Base, which was the

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<v Speaker 1>largest nuclear weapons installation in the United States. UM, and

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<v Speaker 1>that's an important gig, right, He's handling all supply purchases

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<v Speaker 1>for the biggest nuke base in the US. Jacqueline. His

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<v Speaker 1>mom's dad, on the other hand, was a guy named

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<v Speaker 1>Lawrence Preston Geese and he ran the local US Atomic

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<v Speaker 1>Energy Commission office. UM. And he's running the Atomic Energy

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<v Speaker 1>Commission Office in like New Mexico, which is the big one, right,

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<v Speaker 1>that's where we figured it all out, right, that's gonna

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<v Speaker 1>be like your and he's a new he's a new

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<v Speaker 1>he's a rocket scientist, you know, he's like a nuclear

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<v Speaker 1>missile expert um and was very prominent in the field.

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<v Speaker 1>And that obviously you can make a good amount of

0:11:46.400 --> 0:11:49.679
<v Speaker 1>money doing that. So while THEO was not a great dad,

0:11:50.120 --> 0:11:53.160
<v Speaker 1>Jeff young Jeff had support from a family with a

0:11:53.160 --> 0:11:56.440
<v Speaker 1>lot of means. The earliest story I found that shows

0:11:56.520 --> 0:11:59.720
<v Speaker 1>any kind of personality from Jeffrey Jorgensen at this point

0:11:59.800 --> 0:12:02.680
<v Speaker 1>is for when he was three. His his mom was

0:12:02.760 --> 0:12:05.120
<v Speaker 1>really paranoid about his health, and she had him sleeping

0:12:05.120 --> 0:12:06.880
<v Speaker 1>in a crib long after the point of which he

0:12:07.160 --> 0:12:09.440
<v Speaker 1>should have stopped sleeping in a crib. And he kept

0:12:09.520 --> 0:12:11.160
<v Speaker 1>arguing with her that it was time for him to

0:12:11.200 --> 0:12:13.360
<v Speaker 1>get a real bed, and she would say no because

0:12:13.360 --> 0:12:15.040
<v Speaker 1>she was worried he was going to fall out, so

0:12:15.080 --> 0:12:18.160
<v Speaker 1>she refused him repeatedly, and one day Jeff got ahold

0:12:18.200 --> 0:12:20.719
<v Speaker 1>of a screwdriver and took the crib apart himself so

0:12:20.760 --> 0:12:23.120
<v Speaker 1>that it was just a bed um. And that's when

0:12:23.160 --> 0:12:25.200
<v Speaker 1>his mom decided to let him, like, okay, you can

0:12:25.280 --> 0:12:28.079
<v Speaker 1>have a yeah. And it's so we have some early

0:12:28.160 --> 0:12:30.920
<v Speaker 1>stories from him, um, and you hear that one a lot.

0:12:31.040 --> 0:12:33.880
<v Speaker 1>Most of them are like from him after he got

0:12:34.000 --> 0:12:37.120
<v Speaker 1>rich and famous. So as with any story like that,

0:12:37.200 --> 0:12:39.880
<v Speaker 1>a little bit of salt, you know. Yeah, I also

0:12:40.000 --> 0:12:42.520
<v Speaker 1>like being three years old, Like if someone gave me

0:12:42.520 --> 0:12:45.160
<v Speaker 1>a screwdriver, I would just like stop myself by accident,

0:12:45.200 --> 0:12:47.559
<v Speaker 1>you know what I mean. I don't know about that one.

0:12:47.600 --> 0:12:49.520
<v Speaker 1>It's a little bit, but you know, maybe he did,

0:12:49.520 --> 0:12:52.560
<v Speaker 1>if so, maybe, Yeah, it's yeah, I think you're right,

0:12:52.600 --> 0:12:55.120
<v Speaker 1>A little bit of salt with that one, little bit. Yeah.

0:12:55.360 --> 0:13:00.640
<v Speaker 1>So in nineteen his mom remarried to Miguel Angel Bezo Perez.

0:13:01.400 --> 0:13:03.840
<v Speaker 1>Miguel was Cuban and had fled the country on the

0:13:03.880 --> 0:13:06.720
<v Speaker 1>insistence of his mother after he was caught painting anti

0:13:06.800 --> 0:13:09.480
<v Speaker 1>castro graffiti. Um, he does get to take like a

0:13:09.520 --> 0:13:10.960
<v Speaker 1>plane out of there. He's not one of the people

0:13:10.960 --> 0:13:13.280
<v Speaker 1>who has to like hide on a smuggle himself out

0:13:13.280 --> 0:13:16.280
<v Speaker 1>on a raft. Um. But yeah, he gets out of

0:13:16.320 --> 0:13:18.760
<v Speaker 1>he has to leave his family behind in Cuba because

0:13:18.760 --> 0:13:21.960
<v Speaker 1>he's you know, to uh, too too much of a

0:13:22.000 --> 0:13:25.920
<v Speaker 1>little can't can't you know not rebel against the system.

0:13:25.960 --> 0:13:28.800
<v Speaker 1>I guess. Um, he's sixteen years old when he entered

0:13:28.800 --> 0:13:31.960
<v Speaker 1>the enters the country, and he speaks almost no English. Um.

0:13:32.080 --> 0:13:35.200
<v Speaker 1>Miguel eventually wound up doing his undergrad at the University

0:13:35.200 --> 0:13:39.920
<v Speaker 1>of Albuquerque, which offered free scholarships to Cuban refugees. He

0:13:39.960 --> 0:13:41.719
<v Speaker 1>worked as a clerk at a bank, and he met

0:13:41.800 --> 0:13:44.600
<v Speaker 1>Jacqueline while he was working there. He and Jackie married,

0:13:44.640 --> 0:13:46.480
<v Speaker 1>and most of what you really need to know about

0:13:46.520 --> 0:13:49.000
<v Speaker 1>Miguel is that he was enough of a father figure

0:13:49.040 --> 0:13:52.120
<v Speaker 1>to Jeff that Jacqueline reached out to Theodore before she

0:13:52.320 --> 0:13:55.000
<v Speaker 1>married Miguel and told him that their son was going

0:13:55.040 --> 0:13:58.800
<v Speaker 1>to be taking her new husband's last name. Um so

0:13:59.440 --> 0:14:02.120
<v Speaker 1>hard hit for Theodore, you know what I mean. Yeah,

0:14:02.320 --> 0:14:04.679
<v Speaker 1>you get the feeling. I mean, I think he from

0:14:04.720 --> 0:14:06.920
<v Speaker 1>what i've from what I can I've heard, he regrets

0:14:06.920 --> 0:14:08.480
<v Speaker 1>it now. I think in the time, it was like

0:14:08.520 --> 0:14:10.440
<v Speaker 1>you don't have to pay child support that you're not

0:14:10.480 --> 0:14:14.679
<v Speaker 1>paying already anymore, Like yeah, yeah, I mean life, life

0:14:14.720 --> 0:14:17.360
<v Speaker 1>is hard. Things can be hard and it's sad. Yeah,

0:14:17.400 --> 0:14:19.800
<v Speaker 1>but yeah, I get it. Yeah, And it's one of

0:14:19.800 --> 0:14:22.040
<v Speaker 1>those things like I can't say, like she's obviously not

0:14:22.120 --> 0:14:24.120
<v Speaker 1>in the wrong for that. It's like this your bio

0:14:24.240 --> 0:14:26.160
<v Speaker 1>dad won't do it. This guy comes in out of

0:14:26.200 --> 0:14:30.720
<v Speaker 1>nowhere and adopts your kid, like yeah, yeah, um anyway,

0:14:30.760 --> 0:14:34.520
<v Speaker 1>that's why he's Jeff Bezos and not Jeff Jorgensen. Um So,

0:14:34.760 --> 0:14:37.920
<v Speaker 1>Miguel eventually finished college and got a job working as

0:14:37.920 --> 0:14:42.360
<v Speaker 1>a petroleum engineer for x On. Um so his Jeff

0:14:42.640 --> 0:14:45.120
<v Speaker 1>as as a kid. Jeff's family is like either into

0:14:45.240 --> 0:14:48.200
<v Speaker 1>nuclear weapons or the oil and gas industry, which is

0:14:49.720 --> 0:14:53.960
<v Speaker 1>quite an upbreaking Yeah yeah, yeah, yeah, absolutely, man Like, yeah,

0:14:54.240 --> 0:14:57.680
<v Speaker 1>it's a very it's very like American industry as well. Yeah,

0:14:57.880 --> 0:15:01.080
<v Speaker 1>nukes and oil, nukes, and gas. Yeah, yeah, like the

0:15:01.120 --> 0:15:04.520
<v Speaker 1>favorite things. Yeah. And so he's you know, his family

0:15:04.640 --> 0:15:07.480
<v Speaker 1>is not They're not like even Bill Gates family rich,

0:15:07.600 --> 0:15:09.840
<v Speaker 1>I don't think, but they are well off. They're very

0:15:09.960 --> 0:15:12.720
<v Speaker 1>very like they're most people would consider them rich. I

0:15:12.760 --> 0:15:15.120
<v Speaker 1>don't think they're like multi millionaires. I'm sure by the

0:15:15.120 --> 0:15:17.000
<v Speaker 1>time they retired they had they had, you know, a

0:15:17.000 --> 0:15:20.040
<v Speaker 1>million or two in the bank. But they're very very comfortable,

0:15:20.160 --> 0:15:25.360
<v Speaker 1>you know. Um, So the family travels a bunch as

0:15:25.480 --> 0:15:29.120
<v Speaker 1>Miguel like gets all these different transfers across the world.

0:15:29.640 --> 0:15:32.560
<v Speaker 1>Um and along the way, you know, as their you know,

0:15:32.640 --> 0:15:36.160
<v Speaker 1>Miguel is starting his career and you know, Jeffrey's growing up. Um.

0:15:36.280 --> 0:15:40.160
<v Speaker 1>Miguel and Jacqueline have a daughter, Christina, and another son Mark.

0:15:40.760 --> 0:15:42.720
<v Speaker 1>We kind of know jeff was, I don't think happy

0:15:42.760 --> 0:15:45.120
<v Speaker 1>to have his dad tracked down. Um and his dad

0:15:45.160 --> 0:15:46.720
<v Speaker 1>like hadn't heard of him. I think it was two

0:15:46.760 --> 0:15:48.440
<v Speaker 1>thousand fifteen when he get tracked down. He was like,

0:15:48.440 --> 0:15:53.480
<v Speaker 1>who's jeff Bezos And it was like that your son,

0:15:54.280 --> 0:15:58.120
<v Speaker 1>and he's like a broke failed circus performer. It's it's

0:15:58.200 --> 0:16:00.880
<v Speaker 1>quite a thing. Um. So we don't really have a

0:16:00.920 --> 0:16:05.600
<v Speaker 1>whole lot of detail on how you know, uh, getting

0:16:05.600 --> 0:16:08.760
<v Speaker 1>abandoned by his biological dad may have influenced Jeff Bezos,

0:16:08.800 --> 0:16:10.280
<v Speaker 1>it may not have had much of an influence at all,

0:16:10.320 --> 0:16:12.720
<v Speaker 1>because again, he was four when Miguel comes into the picture,

0:16:13.000 --> 0:16:16.000
<v Speaker 1>so nearly all, if not all, of his early memories

0:16:16.000 --> 0:16:17.720
<v Speaker 1>are going to involve Miguel, who seems to have been

0:16:17.720 --> 0:16:20.080
<v Speaker 1>a pretty good dad. Um. And so when it comes

0:16:20.120 --> 0:16:24.280
<v Speaker 1>to how Miguel influenced his son's development, we have more meat, um,

0:16:24.320 --> 0:16:27.120
<v Speaker 1>and it's you know, he's a he's a Cuban refugee

0:16:27.120 --> 0:16:30.400
<v Speaker 1>into the United States. So obviously coming at it from

0:16:30.480 --> 0:16:36.440
<v Speaker 1>like kind of a very conservative, pro capitalist standpoint, not amunists,

0:16:37.920 --> 0:16:40.280
<v Speaker 1>not very surprising. But I'm going to read a passage

0:16:40.280 --> 0:16:42.080
<v Speaker 1>from the Everything Store that gives a little bit of

0:16:42.320 --> 0:16:45.880
<v Speaker 1>context for that. Jeff and his siblings grew up observing

0:16:45.920 --> 0:16:48.800
<v Speaker 1>their father's tireless work ethic and his frequent expressions of

0:16:48.840 --> 0:16:52.600
<v Speaker 1>love for America and its opportunities and freedoms. Miguel Bezos,

0:16:52.600 --> 0:16:55.320
<v Speaker 1>who later began going by the name Mike, acknowledges that

0:16:55.360 --> 0:16:58.000
<v Speaker 1>he may have also passed on a libertarian aversion to

0:16:58.080 --> 0:17:02.000
<v Speaker 1>government intrusion into the private live and enterprises of citizens.

0:17:02.040 --> 0:17:04.680
<v Speaker 1>Certainly it was something that permeated our home life, he says,

0:17:04.720 --> 0:17:07.600
<v Speaker 1>while noting that dinner time conversations were a political and

0:17:07.640 --> 0:17:10.600
<v Speaker 1>revolved around the kids. I cannot stand any kind of

0:17:10.640 --> 0:17:13.120
<v Speaker 1>totalitarian form of government from the right or the left

0:17:13.200 --> 0:17:15.840
<v Speaker 1>or anything in between. And maybe that had some impact.

0:17:16.640 --> 0:17:18.560
<v Speaker 1>Which is interesting because as we're going to talk about,

0:17:19.320 --> 0:17:22.199
<v Speaker 1>Jeff certainly like benefits from the lax kind of corporate

0:17:22.240 --> 0:17:25.439
<v Speaker 1>law in the United States, but he imposes something of

0:17:25.480 --> 0:17:28.000
<v Speaker 1>a dictatorship on the people who work for him. That's

0:17:28.000 --> 0:17:31.640
<v Speaker 1>his whole It's very totalitarian. Yeah, it's like the Stasi.

0:17:31.760 --> 0:17:33.560
<v Speaker 1>You know, you get searched every time you go in

0:17:33.600 --> 0:17:36.919
<v Speaker 1>and out just for lunch or to the toilet, constant monitoring,

0:17:37.440 --> 0:17:40.320
<v Speaker 1>Like yeah, no, it's it's you know, we like we

0:17:40.400 --> 0:17:42.840
<v Speaker 1>heard in the last episode ID for Megacourt, the the

0:17:42.880 --> 0:17:48.240
<v Speaker 1>internal training video was encouraging managers to spy on, you know,

0:17:48.400 --> 0:17:51.879
<v Speaker 1>quote the behavior of their workers to see if maybe

0:17:51.880 --> 0:17:55.119
<v Speaker 1>they're organizing the union. Like yeah, it's it's ridiculous to Okay,

0:17:55.160 --> 0:17:58.199
<v Speaker 1>maybe he thinks that, but then you know, as all dictators,

0:17:58.400 --> 0:18:02.280
<v Speaker 1>you know, he imposes his his Yeah, and it's it's

0:18:02.280 --> 0:18:04.959
<v Speaker 1>interesting to me I mean, this is something we've come

0:18:04.960 --> 0:18:06.879
<v Speaker 1>across a few times with some of these billionaires. But

0:18:06.960 --> 0:18:10.000
<v Speaker 1>like the things that as as well discuss, the things

0:18:10.040 --> 0:18:12.200
<v Speaker 1>that like make Jeff Bezos into the person who is

0:18:12.200 --> 0:18:14.040
<v Speaker 1>able to be as successful as he is, are all

0:18:14.080 --> 0:18:17.719
<v Speaker 1>things that he absolutely doesn't want other people to have.

0:18:17.880 --> 0:18:20.920
<v Speaker 1>He has a very permissive, open environment. He's he's very

0:18:20.920 --> 0:18:24.159
<v Speaker 1>well funded schools. You know, Amazon avoids paying taxes to

0:18:24.160 --> 0:18:27.199
<v Speaker 1>support the schools. A lot of his early jobs give

0:18:27.280 --> 0:18:29.400
<v Speaker 1>him a lot of freedom. And like, yeah, it's it's

0:18:29.400 --> 0:18:33.040
<v Speaker 1>this whole Yeah, you benefited from a system that you

0:18:33.080 --> 0:18:36.159
<v Speaker 1>have no desire in maintaining anyway. Well, that's that's what

0:18:36.200 --> 0:18:38.640
<v Speaker 1>we're getting too. So another thing that made an impact

0:18:38.680 --> 0:18:41.720
<v Speaker 1>on young Jeff was money. When he was four, he

0:18:41.840 --> 0:18:45.960
<v Speaker 1>first visited his maternal grandfather's cattle ranch in Texas. The

0:18:46.119 --> 0:18:49.520
<v Speaker 1>family ranch, the Lazy g was more than twenty five

0:18:49.560 --> 0:18:53.199
<v Speaker 1>tho acres um, which is a big ranch. Um. And

0:18:53.280 --> 0:18:57.080
<v Speaker 1>it's you he comes from old Texas money, um. His family.

0:18:57.080 --> 0:18:59.000
<v Speaker 1>The ranch has been in his family's hand since the

0:18:59.480 --> 0:19:02.520
<v Speaker 1>early teen hundreds. Um. And he had an ancestor who

0:19:02.520 --> 0:19:06.040
<v Speaker 1>took part in the early colonization of Texas by white people. Um,

0:19:06.080 --> 0:19:10.080
<v Speaker 1>which is I have a good friend who comes from

0:19:10.320 --> 0:19:12.600
<v Speaker 1>not nearly they don't have nearly as much land anymore,

0:19:12.640 --> 0:19:14.640
<v Speaker 1>but they used to have family land that was that big,

0:19:14.680 --> 0:19:16.120
<v Speaker 1>and then the family kind of fell on hard times.

0:19:16.160 --> 0:19:18.520
<v Speaker 1>But they were like one of the families that was

0:19:18.600 --> 0:19:21.520
<v Speaker 1>part of the Texas Revolution and the establishment of Texas

0:19:21.560 --> 0:19:25.040
<v Speaker 1>as Estate. And like on her old family land there

0:19:25.119 --> 0:19:27.520
<v Speaker 1>is like a slave graveyard. Like that's all of them, right,

0:19:27.560 --> 0:19:30.800
<v Speaker 1>Like that's founded like that, that's the white people who

0:19:30.840 --> 0:19:33.760
<v Speaker 1>found in Texas. Um. So again that's kind of where

0:19:34.400 --> 0:19:36.840
<v Speaker 1>that that's the kind of old money that he's got

0:19:36.840 --> 0:19:42.440
<v Speaker 1>on that side. Huh yeah, Texas and Tea. Yeah yeah,

0:19:42.760 --> 0:19:46.400
<v Speaker 1>my family didn't own any land, but we didn't get

0:19:46.400 --> 0:19:50.080
<v Speaker 1>here from Italy until like the twenties. So uh yeah

0:19:50.160 --> 0:19:54.000
<v Speaker 1>when uh Jeff Bezos is like Grandpa Lawrence, Like even

0:19:54.040 --> 0:19:56.159
<v Speaker 1>though they have this family land, his grandfather was a

0:19:56.240 --> 0:19:58.760
<v Speaker 1>rocket scientist most of his career and when he retires,

0:19:58.880 --> 0:20:00.760
<v Speaker 1>he goes back to the family the ranch to be

0:20:00.840 --> 0:20:04.439
<v Speaker 1>like a hobby rancher, you know. Um, like I'm retired,

0:20:04.440 --> 0:20:06.720
<v Speaker 1>I don't have to do a grind anymore. I'm gonna

0:20:06.800 --> 0:20:10.159
<v Speaker 1>keep this ranch going just because it seems fun. The

0:20:10.240 --> 0:20:13.320
<v Speaker 1>Lazy G was a large, fully functional ranch, and Jeff

0:20:13.320 --> 0:20:16.000
<v Speaker 1>starts spending his summers there. So for about twelve straight years,

0:20:16.000 --> 0:20:19.120
<v Speaker 1>he spends every summer at the Lazy G doing ranch work,

0:20:19.200 --> 0:20:24.000
<v Speaker 1>cleaning stalls, gelding livestock, doing basic handyman stuff, and the

0:20:24.040 --> 0:20:26.560
<v Speaker 1>experience gave him a crash course and the kind of

0:20:26.560 --> 0:20:29.040
<v Speaker 1>practical engineering you have to do if you're going to

0:20:29.119 --> 0:20:33.200
<v Speaker 1>keep a ranch operational. One of his other biographers, Richard Brandt,

0:20:33.280 --> 0:20:36.120
<v Speaker 1>notes one particular event as an example of the formative

0:20:36.160 --> 0:20:39.040
<v Speaker 1>impact this had on Jeff. One day, his grandpa towed

0:20:39.040 --> 0:20:42.040
<v Speaker 1>in a busted old bulldozer with a stripped transmission. He

0:20:42.080 --> 0:20:43.680
<v Speaker 1>and Jeff set to work on it and had to

0:20:43.720 --> 0:20:46.160
<v Speaker 1>figure out a way to remove a five pound gear

0:20:46.240 --> 0:20:49.560
<v Speaker 1>from the engine. Grandpa Lawrence, built a crane to lift it,

0:20:49.600 --> 0:20:52.719
<v Speaker 1>and Jeff helped him. Experiences like this taught Jeffrey how

0:20:52.720 --> 0:20:55.800
<v Speaker 1>to be a pragmatic engineer and inured him to difficult labor.

0:20:56.040 --> 0:20:59.040
<v Speaker 1>He would later consider it an idyllic childhood, and I'd

0:20:59.040 --> 0:21:01.080
<v Speaker 1>be hard pressed to dis agree with him. There it

0:21:01.160 --> 0:21:04.120
<v Speaker 1>sounds like the perfect way to grow up, right, Like, Yeah,

0:21:04.160 --> 0:21:09.800
<v Speaker 1>you've got like this huge rant lessons, but you've got security. Yeah, yeah, yeah.

0:21:09.840 --> 0:21:12.760
<v Speaker 1>Who wouldn't want this in their childhood? He later told

0:21:12.800 --> 0:21:15.240
<v Speaker 1>an interviewer, One of the things you learn in a

0:21:15.320 --> 0:21:18.840
<v Speaker 1>rural area like that is self reliance. People do everything themselves.

0:21:19.200 --> 0:21:21.320
<v Speaker 1>That kind of self reliance is something you can learn,

0:21:21.400 --> 0:21:23.320
<v Speaker 1>and my grandfather was a huge role model for me.

0:21:23.359 --> 0:21:25.520
<v Speaker 1>If something is broken, let's fix it. To get something

0:21:25.520 --> 0:21:27.399
<v Speaker 1>new done, you have to be stubborn and focused to

0:21:27.440 --> 0:21:31.200
<v Speaker 1>the point that others might find unreasonable. And you might

0:21:31.240 --> 0:21:33.880
<v Speaker 1>find a certain dark humor in noting that Jeff's self

0:21:33.920 --> 0:21:37.000
<v Speaker 1>reliance today involves telling a lot, hundreds of thousands of

0:21:37.000 --> 0:21:39.480
<v Speaker 1>people what they have to do for him. One might

0:21:39.480 --> 0:21:42.600
<v Speaker 1>also note that Amazon has contributed to the absolute annihilation

0:21:42.640 --> 0:21:46.000
<v Speaker 1>of rural communities by destroying small businesses. And it is

0:21:46.080 --> 0:21:48.119
<v Speaker 1>kind of tempting to go down this road Jeff talking

0:21:48.160 --> 0:21:50.359
<v Speaker 1>about the value of like rural hard work, and then

0:21:50.400 --> 0:21:53.720
<v Speaker 1>how Amazon has actually impacted rural areas. But it's also

0:21:54.880 --> 0:21:58.280
<v Speaker 1>of the things to blame Amazon for not really fair,

0:21:59.080 --> 0:22:04.240
<v Speaker 1>because he's Amazon was kind of continuing a process that

0:22:04.320 --> 0:22:06.199
<v Speaker 1>got started a lot earlier. When it comes to that,

0:22:06.280 --> 0:22:08.560
<v Speaker 1>I actually found a local article from a paper in

0:22:08.640 --> 0:22:12.200
<v Speaker 1>Swift County, Minnesota, with the title Amazon's dominance not good

0:22:12.240 --> 0:22:15.960
<v Speaker 1>for small Towns, and obviously talks about what you'd expect Amazon,

0:22:16.119 --> 0:22:18.600
<v Speaker 1>the online retailers, destroying a bunch of local brick and

0:22:18.600 --> 0:22:21.919
<v Speaker 1>mortar businesses that give people in the area jobs. But

0:22:22.000 --> 0:22:24.679
<v Speaker 1>then that article gives a list of the local businesses

0:22:25.200 --> 0:22:28.120
<v Speaker 1>in this small town that might get wrecked by Amazon,

0:22:28.240 --> 0:22:33.719
<v Speaker 1>and those businesses include Advance Auto Parts, Auto Zone, O'Riley, Honda, Albertson's, Kroger,

0:22:33.760 --> 0:22:38.120
<v Speaker 1>Walmart Grocery, Barnes and Noble, Joebeth booksellers, Best Buy, Office Depot, Staples,

0:22:38.520 --> 0:22:41.680
<v Speaker 1>all of which are like giant corporations that previously came

0:22:41.720 --> 0:22:44.600
<v Speaker 1>in and destroyed small local businesses in rural communities. And

0:22:44.640 --> 0:22:47.360
<v Speaker 1>it's like, yeah, Amazon is a part of that tradition,

0:22:47.440 --> 0:22:50.280
<v Speaker 1>but it didn't, it didn't start with them, So I

0:22:50.280 --> 0:22:52.399
<v Speaker 1>don't know. It's like if you're if you're in like

0:22:52.440 --> 0:22:55.440
<v Speaker 1>a hyper corporate environment, that's just the circle of life, really,

0:22:55.480 --> 0:22:58.080
<v Speaker 1>you know what I mean. Yeah, it's one of those things.

0:22:58.480 --> 0:23:00.320
<v Speaker 1>It is, like I think there's a degree to which

0:23:00.680 --> 0:23:04.240
<v Speaker 1>it's worth acknowledging that Jeff benefited, as we've talked about,

0:23:04.280 --> 0:23:07.480
<v Speaker 1>like so much from this kind of rural ideal that

0:23:07.480 --> 0:23:10.800
<v Speaker 1>that does not exist anywhere anymore, um to the extent

0:23:10.840 --> 0:23:12.800
<v Speaker 1>that it existed many places when he was a kid.

0:23:13.840 --> 0:23:17.439
<v Speaker 1>But he's also not didn't start that process. So whatever

0:23:17.920 --> 0:23:20.919
<v Speaker 1>of of Amazon's crimes, I don't really I put that

0:23:20.960 --> 0:23:24.280
<v Speaker 1>more on the Walmart end of the Ledger. So when

0:23:24.359 --> 0:23:26.760
<v Speaker 1>he wasn't spending his summers at the ranch, Jeff spent

0:23:26.840 --> 0:23:29.639
<v Speaker 1>most of his childhood in Houston, Texas. He attended a

0:23:29.680 --> 0:23:32.040
<v Speaker 1>public school and was lucky enough to benefit from a

0:23:32.080 --> 0:23:35.280
<v Speaker 1>school district that had both money um and a devotion

0:23:35.320 --> 0:23:39.480
<v Speaker 1>to take in care of its gifted students. The Vanguard Program,

0:23:39.560 --> 0:23:42.119
<v Speaker 1>as it's called, was a gifted and talented program that

0:23:42.160 --> 0:23:44.600
<v Speaker 1>was meant to find bright kids and encourage them to

0:23:44.600 --> 0:23:47.439
<v Speaker 1>think outside the box and learn how to be independent minds.

0:23:48.040 --> 0:23:51.400
<v Speaker 1>The Vanguard Program was good and in the early nineteen seventies,

0:23:51.440 --> 0:23:54.560
<v Speaker 1>and ad executive named Julie Ray grew interested in it

0:23:54.600 --> 0:23:57.119
<v Speaker 1>after her son was admitted. Once he moved on to

0:23:57.280 --> 0:23:59.560
<v Speaker 1>Junior High, she decided to write a book about the

0:23:59.560 --> 0:24:02.360
<v Speaker 1>program him. When she went back to tour the program,

0:24:02.440 --> 0:24:05.840
<v Speaker 1>she met a sixth grader named Jeff Bezos. She used

0:24:05.840 --> 0:24:08.000
<v Speaker 1>the pseudonym Tim for him in her book at his

0:24:08.080 --> 0:24:10.840
<v Speaker 1>parents request. But from Julie's work, we have our first

0:24:10.880 --> 0:24:13.800
<v Speaker 1>early objective peak at young Mr Bezos. So this is

0:24:13.840 --> 0:24:16.760
<v Speaker 1>not coming out of his pr you know, Charing. This

0:24:16.840 --> 0:24:18.600
<v Speaker 1>is not coming from his family, This is not coming

0:24:18.600 --> 0:24:20.399
<v Speaker 1>from him. This is coming from someone who had no

0:24:20.440 --> 0:24:22.080
<v Speaker 1>idea what he was going to become, who was kind

0:24:22.080 --> 0:24:26.080
<v Speaker 1>of trying to analyze his intellectual growth objectively when he

0:24:26.119 --> 0:24:28.560
<v Speaker 1>was in the sixth grade. Um, so it's a pretty

0:24:28.560 --> 0:24:30.960
<v Speaker 1>interesting insight. We don't really have anything like this for

0:24:31.000 --> 0:24:33.920
<v Speaker 1>any of the other guys. So I find this fascinating.

0:24:33.920 --> 0:24:35.359
<v Speaker 1>I'm going to read a quote from the book The

0:24:35.440 --> 0:24:40.359
<v Speaker 1>Everything Store about this, uh, this early study. Jeff was

0:24:40.440 --> 0:24:44.359
<v Speaker 1>a student of general intellectual excellence, slight of build, friendly

0:24:44.400 --> 0:24:48.160
<v Speaker 1>but serious. He was not particularly gifted in leadership, according

0:24:48.200 --> 0:24:50.760
<v Speaker 1>to his teachers, but he moved confidently among his peers

0:24:50.800 --> 0:24:53.879
<v Speaker 1>and articulately extolled the virtues of the novel he was

0:24:53.920 --> 0:24:57.560
<v Speaker 1>reading at the time, j R. Tolkien's The Hobbit. Jeff

0:24:57.640 --> 0:25:00.440
<v Speaker 1>twelve was already competitive. He told Ray he was reading

0:25:00.480 --> 0:25:03.480
<v Speaker 1>a variety of books to qualify for a special Readers certificate,

0:25:03.520 --> 0:25:07.680
<v Speaker 1>but compared himself unfavorably to another classmate, who claimed improbably

0:25:07.920 --> 0:25:10.600
<v Speaker 1>that she was reading a dozen books a week. Jeff

0:25:10.640 --> 0:25:13.040
<v Speaker 1>also showed Ray a science project that he was working

0:25:13.119 --> 0:25:16.439
<v Speaker 1>on called an infinity cube, a battery powered contraption with

0:25:16.560 --> 0:25:19.840
<v Speaker 1>rotating mirrors that created the optical illusion of an endless tunnel.

0:25:20.320 --> 0:25:22.560
<v Speaker 1>Jeff modeled the device after one he had seen in

0:25:22.600 --> 0:25:26.000
<v Speaker 1>a store. That one cost twenty two dollars, but mine

0:25:26.119 --> 0:25:28.960
<v Speaker 1>was cheaper, he told Ray. Teachers said that three of

0:25:29.000 --> 0:25:31.880
<v Speaker 1>Jeff's projects were being entered in a local science competition

0:25:31.960 --> 0:25:34.240
<v Speaker 1>that drew most of its submissions from students in junior

0:25:34.240 --> 0:25:38.520
<v Speaker 1>and senior high schools. So you get a lot from that.

0:25:38.640 --> 0:25:41.119
<v Speaker 1>Number One, he's very advanced. People at the time recognize

0:25:41.160 --> 0:25:43.680
<v Speaker 1>him as brilliant. And number two, like, there's this toy

0:25:43.720 --> 0:25:46.199
<v Speaker 1>he wants. It's too expensive, his mom won't get it,

0:25:46.280 --> 0:25:48.560
<v Speaker 1>so he just builds it. You know, you get a

0:25:48.560 --> 0:25:52.160
<v Speaker 1>lot of like the future Jeff Bezos personality from from

0:25:52.160 --> 0:25:54.879
<v Speaker 1>that kind of decision. I just kept thinking of the

0:25:54.960 --> 0:26:00.479
<v Speaker 1>time cube. They Jeff built the time cube. Put that

0:26:00.560 --> 0:26:07.200
<v Speaker 1>on the internet. Yeah, yeah, that would be that would

0:26:07.240 --> 0:26:10.879
<v Speaker 1>be a fun twist. So from an early age, Jeff

0:26:10.920 --> 0:26:13.639
<v Speaker 1>seemed drawn to the idea of evaluating other people in

0:26:13.760 --> 0:26:17.560
<v Speaker 1>order to maximize their performance. While he was in sixth grade,

0:26:17.640 --> 0:26:20.879
<v Speaker 1>as practice for statistics class, he created a survey to

0:26:20.960 --> 0:26:23.880
<v Speaker 1>evaluate all the teachers in his grade. He claimed its

0:26:23.920 --> 0:26:26.639
<v Speaker 1>goal was to judge teachers on how they teach, not

0:26:26.760 --> 0:26:29.960
<v Speaker 1>as a popularity contest. When Julie met him, he was

0:26:30.000 --> 0:26:31.960
<v Speaker 1>working to lay out the results in a graph that

0:26:31.960 --> 0:26:34.640
<v Speaker 1>would compare all the teachers with each other. So he's

0:26:34.640 --> 0:26:37.840
<v Speaker 1>doing like this Amazon analytic ship as a sixth grader

0:26:37.880 --> 0:26:43.520
<v Speaker 1>to his teachers. Yeah, it's quite impressive. Yeah, and it

0:26:43.600 --> 0:26:46.840
<v Speaker 1>also I'd be scared of that kid, though, like fucking

0:26:46.960 --> 0:26:49.800
<v Speaker 1>Damien vibe, you know what I mean? Yeah, I think

0:26:49.840 --> 0:26:53.679
<v Speaker 1>I would like if a fucking sixth grader is like

0:26:53.760 --> 0:26:56.720
<v Speaker 1>graphing me and a bunch of other people like we're

0:26:56.720 --> 0:27:00.920
<v Speaker 1>their employees and like a char Yeah, maybe maybe i'd

0:27:00.920 --> 0:27:02.720
<v Speaker 1>spray that kid with some pepper water, you know, a

0:27:02.760 --> 0:27:05.200
<v Speaker 1>little bit of pepper water. Don't give him a ruler.

0:27:05.240 --> 0:27:09.399
<v Speaker 1>Who's your head, you know? Yeah, exactly, it's in that room,

0:27:09.440 --> 0:27:13.159
<v Speaker 1>you know what I mean. Yeah, Yeah, it's it's a

0:27:13.240 --> 0:27:16.320
<v Speaker 1>little bit like unsettling. And his own family was not

0:27:16.359 --> 0:27:18.760
<v Speaker 1>immune to this sort of behavior. When he was tinned,

0:27:18.800 --> 0:27:21.560
<v Speaker 1>Jeff grew concerned about his grandmother, who was a smoker.

0:27:22.400 --> 0:27:24.679
<v Speaker 1>His first attempt at convincing her to stop wasn't to

0:27:24.720 --> 0:27:27.159
<v Speaker 1>just say, like, grandma, could you stop smoking? Grandma? I

0:27:27.200 --> 0:27:29.920
<v Speaker 1>don't like it with you know, he calculated how many

0:27:30.000 --> 0:27:33.680
<v Speaker 1>minutes of life she lost per cigarette and then extrapolated

0:27:33.720 --> 0:27:35.760
<v Speaker 1>that based on the total amount of time that she'd

0:27:35.800 --> 0:27:39.000
<v Speaker 1>been smoking, and then told her you've taken nine years

0:27:39.040 --> 0:27:45.280
<v Speaker 1>off your life, and she burst into tears. That's the

0:27:45.359 --> 0:27:48.399
<v Speaker 1>kind of mind this kid, again, always driven by like

0:27:48.560 --> 0:27:54.080
<v Speaker 1>data and always like white people to have. Yeah, but

0:27:54.160 --> 0:27:57.199
<v Speaker 1>don't hurt granny's feelings, Like that's just no, No one

0:27:57.240 --> 0:28:00.080
<v Speaker 1>should do that, you know what I mean? I mean it.

0:28:00.320 --> 0:28:02.440
<v Speaker 1>I think you get this feeling from him with both

0:28:02.440 --> 0:28:05.159
<v Speaker 1>of those anecdotes that as a kid he um and

0:28:05.240 --> 0:28:06.919
<v Speaker 1>as a kid and as an adult he has this

0:28:06.960 --> 0:28:10.080
<v Speaker 1>attitude of like, well, if there's good data to analyze

0:28:10.080 --> 0:28:13.440
<v Speaker 1>exactly how you're performing, why wouldn't you want it? And

0:28:13.880 --> 0:28:16.320
<v Speaker 1>you know most of us are like, well, number one,

0:28:16.400 --> 0:28:19.359
<v Speaker 1>raw data doesn't tell you everything it leaves out. And

0:28:19.480 --> 0:28:22.080
<v Speaker 1>number two, it's kind of exhausting to live your whole

0:28:22.080 --> 0:28:24.800
<v Speaker 1>life that way, Yeah, no it is. And then do

0:28:24.840 --> 0:28:27.160
<v Speaker 1>you know what it reminds me of like the problem

0:28:27.280 --> 0:28:30.199
<v Speaker 1>like particularly like in our profession when you have like

0:28:30.240 --> 0:28:33.760
<v Speaker 1>analysts versus on the ground reporters, and it's like, yeah,

0:28:33.920 --> 0:28:36.359
<v Speaker 1>data is great, and it's a part of the process,

0:28:36.640 --> 0:28:39.360
<v Speaker 1>but it removes the soul of everything if you just

0:28:39.440 --> 0:28:40.840
<v Speaker 1>rely on it, you know what I mean? And that's

0:28:40.840 --> 0:28:44.480
<v Speaker 1>so much problem and it's it's not like it's also

0:28:44.560 --> 0:28:47.120
<v Speaker 1>it also leaves out inherently a lot like you can

0:28:47.120 --> 0:28:48.800
<v Speaker 1>look at there's all there's all these kind of like

0:28:49.400 --> 0:28:52.840
<v Speaker 1>the this wing of scholars who will make the claim

0:28:52.880 --> 0:28:54.600
<v Speaker 1>that like this is the best life has ever been,

0:28:54.680 --> 0:28:56.920
<v Speaker 1>and they'll they always bring up that like because of

0:28:57.000 --> 0:28:59.200
<v Speaker 1>this economic wature, this measure and it's like, well, but

0:29:00.040 --> 0:29:01.880
<v Speaker 1>there's a lot of ways in which like those are

0:29:01.960 --> 0:29:04.160
<v Speaker 1>jigged and you look at like yeah, it looks like

0:29:04.200 --> 0:29:06.239
<v Speaker 1>these indexes have been moving up, but you adjust them

0:29:06.280 --> 0:29:08.920
<v Speaker 1>every couple of years, so that like the you know,

0:29:09.440 --> 0:29:12.000
<v Speaker 1>the you're measuring different things that aren't going up in

0:29:12.040 --> 0:29:14.560
<v Speaker 1>price as much to show that people are are gaining more.

0:29:14.600 --> 0:29:17.280
<v Speaker 1>And it's like yeah, and that's why a lot of

0:29:17.280 --> 0:29:20.200
<v Speaker 1>these like statistics on how great a time it is

0:29:20.240 --> 0:29:22.040
<v Speaker 1>to live in now. Don't take into account the fact

0:29:22.040 --> 0:29:25.240
<v Speaker 1>that like people in the United States in particular are

0:29:25.280 --> 0:29:28.160
<v Speaker 1>fucking miserable and self report being miserable. And it's like, yeah,

0:29:28.720 --> 0:29:32.400
<v Speaker 1>you you can't just reduce everything to data. It doesn't

0:29:33.560 --> 0:29:36.920
<v Speaker 1>like that's a lot Yeah, oh no, no one's dropping

0:29:36.960 --> 0:29:38.960
<v Speaker 1>a rock on your head anymore. Like that was happening

0:29:39.000 --> 0:29:41.360
<v Speaker 1>every week and you know, five years ago, so so

0:29:41.440 --> 0:29:43.000
<v Speaker 1>you'll find it's like, no, there's there's a lot of

0:29:43.040 --> 0:29:46.240
<v Speaker 1>other things. I think without without context, statistics are just

0:29:46.440 --> 0:29:49.480
<v Speaker 1>like just ways for people to argue online, you know

0:29:49.480 --> 0:29:52.040
<v Speaker 1>what I mean. It's like these kind of you know,

0:29:52.160 --> 0:29:55.360
<v Speaker 1>like oh, Ben Shapiro Slaughter as some like twelve year olds.

0:29:55.400 --> 0:29:57.800
<v Speaker 1>He's like very much into all that, like, you know,

0:29:57.880 --> 0:30:01.400
<v Speaker 1>statistics without context, and it's they're just digits without any contexts.

0:30:01.440 --> 0:30:03.240
<v Speaker 1>You know, it's not it's not helpful, I don't think,

0:30:03.720 --> 0:30:06.320
<v Speaker 1>but he is, Jeff is in love with statistics and

0:30:06.400 --> 0:30:09.000
<v Speaker 1>digits and yeah, he's he's a he's a data driven

0:30:09.080 --> 0:30:13.200
<v Speaker 1>little boy. Uh. He also lived what sounds to me

0:30:13.280 --> 0:30:16.320
<v Speaker 1>like an exhausting life. He started school at seven am

0:30:16.480 --> 0:30:19.040
<v Speaker 1>every day, um, and he had like the special program

0:30:19.040 --> 0:30:21.600
<v Speaker 1>he was in was just this dizzying mix of classes,

0:30:21.960 --> 0:30:27.479
<v Speaker 1>individual projects in small group discussion time. Julie documented one

0:30:27.520 --> 0:30:29.880
<v Speaker 1>of the group discussions Jeff was a part of UH.

0:30:29.920 --> 0:30:32.120
<v Speaker 1>He and six other students were sitting with the principal

0:30:32.240 --> 0:30:35.640
<v Speaker 1>reading short stories and then discussing the short stories. And

0:30:35.680 --> 0:30:38.200
<v Speaker 1>the first story they read was about an archaeologist who

0:30:38.200 --> 0:30:41.680
<v Speaker 1>faked a cash of artifacts, and Julie recorded what Jeff

0:30:41.720 --> 0:30:43.600
<v Speaker 1>had to say about the story. So these are just

0:30:43.640 --> 0:30:46.080
<v Speaker 1>like some comments that she noted him making about the

0:30:46.160 --> 0:30:49.720
<v Speaker 1>archaeologists in the story. They probably wanted to become famous.

0:30:49.760 --> 0:30:51.840
<v Speaker 1>They wished away the things they didn't want to face.

0:30:52.400 --> 0:30:55.120
<v Speaker 1>Some people go throughrough life thinking like they always have.

0:30:55.640 --> 0:30:58.160
<v Speaker 1>You should be patient, analyze what you've have to work

0:30:58.200 --> 0:31:00.840
<v Speaker 1>with UM. So he is, you know, this is kind

0:31:00.840 --> 0:31:03.760
<v Speaker 1>of the way he's he's thinking about people. I especially

0:31:04.120 --> 0:31:06.320
<v Speaker 1>I think the line some people go through life thinking

0:31:06.360 --> 0:31:08.760
<v Speaker 1>like they always have, like he's. He's always very obsessed

0:31:08.840 --> 0:31:14.080
<v Speaker 1>with this idea of UM like treating things like it's

0:31:14.120 --> 0:31:16.320
<v Speaker 1>the first time anyone's done them, so you can try

0:31:16.360 --> 0:31:18.440
<v Speaker 1>to look at them from a new perspective, which is

0:31:19.200 --> 0:31:21.800
<v Speaker 1>very successful way to think in business. Like it's interesting

0:31:21.840 --> 0:31:24.360
<v Speaker 1>to me some of his his thought processes. He doesn't

0:31:24.360 --> 0:31:26.479
<v Speaker 1>really change, you know, as he grows up. He's kind

0:31:26.480 --> 0:31:31.360
<v Speaker 1>of always the same person who becomes the CEO of Amazon. UM.

0:31:31.520 --> 0:31:35.120
<v Speaker 1>Jeff told Julie Ray that he loved these exercises. Quote

0:31:35.160 --> 0:31:37.080
<v Speaker 1>the way the world is. You know, someone could tell

0:31:37.120 --> 0:31:39.320
<v Speaker 1>you to press the button. You have to think what

0:31:39.360 --> 0:31:40.920
<v Speaker 1>you're doing for you. You have to be able to

0:31:40.920 --> 0:31:43.400
<v Speaker 1>think about what you're doing for yourself, which is again

0:31:43.480 --> 0:31:45.920
<v Speaker 1>interesting because that's the opposite of what he wants from

0:31:45.920 --> 0:31:48.080
<v Speaker 1>his employees, but he recognizes it as the key to

0:31:48.120 --> 0:31:53.040
<v Speaker 1>his own success. UM. Julie's book was not a big hit.

0:31:53.160 --> 0:31:56.040
<v Speaker 1>This book about this special program Jefferson as a kid.

0:31:56.240 --> 0:31:58.280
<v Speaker 1>She had to self publish it, and as far as

0:31:58.280 --> 0:32:01.400
<v Speaker 1>I can tell, we know mostly about it because of

0:32:01.640 --> 0:32:05.600
<v Speaker 1>journalists like brad Stone Um who found this out, like

0:32:05.680 --> 0:32:07.920
<v Speaker 1>found copies of the book in the library after it

0:32:07.960 --> 0:32:10.480
<v Speaker 1>had been published, and like grabbed this early look at

0:32:10.560 --> 0:32:13.840
<v Speaker 1>Jeff Bezos for us UM. Brad Stone caught up with

0:32:13.920 --> 0:32:16.680
<v Speaker 1>Julie decades later when Jeff was a billionaire, and he

0:32:16.720 --> 0:32:19.240
<v Speaker 1>asked her what she felt about the things Jeff Bezos

0:32:19.240 --> 0:32:22.600
<v Speaker 1>had accomplished in the decades since sixth grade. She said

0:32:22.680 --> 0:32:25.040
<v Speaker 1>she had watched Tim's rise to fame and fortune over

0:32:25.040 --> 0:32:27.800
<v Speaker 1>the past two decades with admiration and amazement, but without

0:32:27.920 --> 0:32:30.240
<v Speaker 1>much surprise. When I met him as a young boy,

0:32:30.280 --> 0:32:32.520
<v Speaker 1>his ability was obvious and it was being nurtured and

0:32:32.640 --> 0:32:35.600
<v Speaker 1>encouraged by the new program. She says. The program also

0:32:35.680 --> 0:32:39.120
<v Speaker 1>benefited by his responsiveness and enthusiasm for learning. It was

0:32:39.160 --> 0:32:42.560
<v Speaker 1>a total validation of the concept. And it's certainly, i

0:32:42.560 --> 0:32:45.200
<v Speaker 1>would say, a validation of the concept of funding public

0:32:45.240 --> 0:32:48.920
<v Speaker 1>schools well enough that they can experiment. UM. In this regard,

0:32:49.040 --> 0:32:51.880
<v Speaker 1>Jeff isn't entirely dissimilar to Bill Gates, although Bill didn't

0:32:51.920 --> 0:32:54.640
<v Speaker 1>go to a public school, but both men benefited as

0:32:54.760 --> 0:32:57.720
<v Speaker 1>kids from communities that put a lot of resources into

0:32:57.840 --> 0:33:01.080
<v Speaker 1>educating them. A lot of a lot of went into

0:33:01.440 --> 0:33:04.320
<v Speaker 1>training up both of these children and giving them opportunities

0:33:04.360 --> 0:33:06.560
<v Speaker 1>when they were little kids, and a lot of that

0:33:06.640 --> 0:33:09.400
<v Speaker 1>came from, like in the fact that the schools they

0:33:09.400 --> 0:33:13.400
<v Speaker 1>were in valued their intellectual freedom and valued their personal

0:33:13.440 --> 0:33:16.760
<v Speaker 1>freedom and considered that an important part of them being

0:33:16.800 --> 0:33:19.000
<v Speaker 1>able to grow into the kind of people that they

0:33:19.000 --> 0:33:22.240
<v Speaker 1>were capable of becoming. UM. And again, it's a total

0:33:22.320 --> 0:33:25.480
<v Speaker 1>You look at what Amazon pays and taxes. Uh, it's

0:33:25.480 --> 0:33:27.560
<v Speaker 1>a bit of a run poll that they kind of

0:33:27.600 --> 0:33:29.600
<v Speaker 1>do as soon as they get up to where they

0:33:29.680 --> 0:33:32.320
<v Speaker 1>where they are. Um. I always find that interesting because

0:33:32.320 --> 0:33:37.200
<v Speaker 1>they benefit from societies that invest a ton of resources

0:33:37.200 --> 0:33:41.160
<v Speaker 1>into them, but they have no interest in investing back. Yeah,

0:33:41.200 --> 0:33:42.760
<v Speaker 1>I get do you know what? I really get the

0:33:42.880 --> 0:33:46.239
<v Speaker 1>vibe from Bezos kind of a Nixon vibe. You know,

0:33:46.400 --> 0:33:48.440
<v Speaker 1>it's not illegal when I do it, you know that

0:33:48.600 --> 0:33:50.880
<v Speaker 1>kind of thing. It's like I get that vibe from

0:33:50.960 --> 0:33:54.080
<v Speaker 1>him a lot, like I'll take everything and then you know,

0:33:54.360 --> 0:33:56.280
<v Speaker 1>but whatever I do is okay. You know what I mean.

0:33:56.360 --> 0:33:59.280
<v Speaker 1>It's like, yeah, it's not really I mean, all right, fine,

0:33:59.400 --> 0:34:02.560
<v Speaker 1>everybody has to give back, but he's the richest. I

0:34:02.560 --> 0:34:07.960
<v Speaker 1>don't enough, Like yeah yeah, yeah, I mean I'm sure

0:34:07.960 --> 0:34:10.719
<v Speaker 1>he talk about how space travel is giving back, but

0:34:10.760 --> 0:34:15.120
<v Speaker 1>that's a discussion for another day. Um. Yeah. So Jeff

0:34:15.200 --> 0:34:18.040
<v Speaker 1>was prone to such intense focus as a kid that

0:34:18.360 --> 0:34:20.680
<v Speaker 1>his teachers would sometimes have to pick him up while

0:34:20.719 --> 0:34:23.040
<v Speaker 1>he was still in his chair and move him to

0:34:23.080 --> 0:34:25.000
<v Speaker 1>different tables when it was time for him to switch

0:34:25.040 --> 0:34:28.080
<v Speaker 1>tasks because he would be so invested in whatever he

0:34:28.120 --> 0:34:31.080
<v Speaker 1>was doing. Um, and he never seemed to like turn off.

0:34:31.080 --> 0:34:32.719
<v Speaker 1>When he was not at school, he would spend his

0:34:32.760 --> 0:34:36.200
<v Speaker 1>time rebuilding radios, building robots from kits, and experimenting with

0:34:36.239 --> 0:34:40.239
<v Speaker 1>electronics purchased from radio shack. His most telling invention was

0:34:40.280 --> 0:34:43.000
<v Speaker 1>an electric alarm, which he wired to alert him if

0:34:43.040 --> 0:34:45.279
<v Speaker 1>his younger brother or sister tried to get into his

0:34:45.360 --> 0:34:50.120
<v Speaker 1>room because he was obsessed with his personal privacy. Um yeah,

0:34:50.760 --> 0:34:54.320
<v Speaker 1>like Bill, Yeah, that's cute. Like Bill Gates, Jeff benefited

0:34:54.320 --> 0:34:56.160
<v Speaker 1>from the fact that he had access to a computer

0:34:56.280 --> 0:34:59.280
<v Speaker 1>earlier than any other kids pretty much in the United States.

0:34:59.560 --> 0:35:03.080
<v Speaker 1>A huge based company provided his school with a terminal

0:35:03.160 --> 0:35:06.239
<v Speaker 1>and loan them extra time on the company mainframe. And

0:35:06.320 --> 0:35:08.160
<v Speaker 1>this was during a period when kind of in the

0:35:08.200 --> 0:35:11.520
<v Speaker 1>same time, Bill Gates's rich parents at like a fancy

0:35:11.560 --> 0:35:14.279
<v Speaker 1>private school raised money via a bake sale to buy

0:35:14.320 --> 0:35:17.080
<v Speaker 1>a terminal for the kids. Um. So this is again

0:35:17.120 --> 0:35:20.600
<v Speaker 1>another thing that kind of all these guys, these early

0:35:20.640 --> 0:35:24.200
<v Speaker 1>tech billionaires have in common, is that adults around them

0:35:24.400 --> 0:35:26.480
<v Speaker 1>make the choice to put a lot of money into

0:35:26.560 --> 0:35:29.640
<v Speaker 1>giving them access to a computer in like the seventies,

0:35:29.680 --> 0:35:33.160
<v Speaker 1>you know, when very few other people have access to computers. Yeah,

0:35:33.360 --> 0:35:36.319
<v Speaker 1>the massive like very very privileged position to be as

0:35:36.360 --> 0:35:38.799
<v Speaker 1>a kid, especially but then you know what I mean. Yeah,

0:35:38.840 --> 0:35:42.440
<v Speaker 1>and again it's if if, if, if, like either of

0:35:42.440 --> 0:35:44.680
<v Speaker 1>them were to really learn the lesson of their success

0:35:44.719 --> 0:35:47.200
<v Speaker 1>would be like, yeah, you should, you should invest a

0:35:47.200 --> 0:35:51.480
<v Speaker 1>lot in children. Um, But neither of them really seem

0:35:51.520 --> 0:35:54.680
<v Speaker 1>to get that from the book one click quote. The

0:35:54.719 --> 0:35:57.000
<v Speaker 1>setup came with a stack of manuals, but no one

0:35:57.040 --> 0:35:59.120
<v Speaker 1>at the school knew how to use it. Jeff and

0:35:59.160 --> 0:36:01.239
<v Speaker 1>a couple of other stud stayed after class to go

0:36:01.280 --> 0:36:03.320
<v Speaker 1>through the manuals and figure out how to program it,

0:36:03.600 --> 0:36:06.200
<v Speaker 1>but that novelty only lasted about a week. Then they

0:36:06.239 --> 0:36:09.359
<v Speaker 1>discovered that the main frame contained a primitive starf Trek game.

0:36:09.600 --> 0:36:11.640
<v Speaker 1>From then on, all they used the computer for was

0:36:11.680 --> 0:36:14.000
<v Speaker 1>playing Star Trek, each taking on a role of one

0:36:14.000 --> 0:36:16.440
<v Speaker 1>of the characters in the TV program. Like all of

0:36:16.480 --> 0:36:18.799
<v Speaker 1>his other nerdy friends, he considered the choice role in

0:36:18.840 --> 0:36:21.440
<v Speaker 1>the game to be that of Mr Spock. Captain Kirk

0:36:21.520 --> 0:36:23.880
<v Speaker 1>was the backup choice. If Jeff couldn't get either of

0:36:23.880 --> 0:36:26.040
<v Speaker 1>those roles, he preferred to take on the persona of

0:36:26.080 --> 0:36:32.520
<v Speaker 1>the starship's computer, which also says a lot Um, Yeah,

0:36:31.600 --> 0:36:35.480
<v Speaker 1>I get like Spock is rad, but wanting to be

0:36:35.560 --> 0:36:39.400
<v Speaker 1>the computer is a little weird. Um. The career that

0:36:39.480 --> 0:36:41.880
<v Speaker 1>most of I mean, bones is right there, Jeff, but whatever.

0:36:42.360 --> 0:36:46.080
<v Speaker 1>The career that most appealed to child Jeff Bezos was archaeology,

0:36:46.239 --> 0:36:49.719
<v Speaker 1>but his heroes were all businessmen, particularly Walt Disney and

0:36:49.800 --> 0:36:53.360
<v Speaker 1>Thomas Edison, both of whom were very successful at monetizing

0:36:53.400 --> 0:36:56.480
<v Speaker 1>the achievements of their employees and utterly ruthless at crushing

0:36:56.520 --> 0:37:00.279
<v Speaker 1>competition to their dominance. He actually admired Disney more than

0:37:00.400 --> 0:37:02.959
<v Speaker 1>Edison because he saw Walt Disney is having been better

0:37:03.000 --> 0:37:05.800
<v Speaker 1>at putting a team together to work in a concerted fashion.

0:37:05.880 --> 0:37:08.680
<v Speaker 1>So like, again, Disney is kind of the guy he's

0:37:08.680 --> 0:37:12.799
<v Speaker 1>worshiping as a little kid. Yeah, but not even for

0:37:13.000 --> 0:37:15.520
<v Speaker 1>like not even like wow, I love his cartoons. It's

0:37:15.520 --> 0:37:19.080
<v Speaker 1>just like the lamest version of like him, you know, Yeah,

0:37:19.400 --> 0:37:23.560
<v Speaker 1>it really is now. As you probably guessed, Jeff Bezos

0:37:23.640 --> 0:37:25.799
<v Speaker 1>did not get in trouble often as a kid. He

0:37:25.920 --> 0:37:29.440
<v Speaker 1>lost his library privileges once for laughing too loud. Um,

0:37:29.480 --> 0:37:31.480
<v Speaker 1>but that's kind of like most of what you hear

0:37:31.480 --> 0:37:33.080
<v Speaker 1>about it, Like, he's not and we'll talk about his

0:37:33.160 --> 0:37:35.160
<v Speaker 1>laugh a little bit later, but he's he does not

0:37:36.000 --> 0:37:38.520
<v Speaker 1>run into a lot of hot water based on all

0:37:38.520 --> 0:37:40.200
<v Speaker 1>of this, and you might be surprised to know that

0:37:40.280 --> 0:37:43.720
<v Speaker 1>Jeff joined a youth football league, um and was actually

0:37:43.800 --> 0:37:46.319
<v Speaker 1>pretty good at it, which is why there's a number

0:37:46.320 --> 0:37:48.640
<v Speaker 1>of reasons this is weird. For one, football is a

0:37:48.680 --> 0:37:51.799
<v Speaker 1>fucking huge deal in Texas. It's like a religion there.

0:37:51.840 --> 0:37:54.400
<v Speaker 1>There were like schools like the school I went to,

0:37:54.520 --> 0:37:57.720
<v Speaker 1>paid millions and millions of dollars for their football stadium,

0:37:57.760 --> 0:38:00.680
<v Speaker 1>Like schools where I live now cost less than just

0:38:00.760 --> 0:38:03.480
<v Speaker 1>the football stadium from my high school did. It's it's

0:38:03.480 --> 0:38:07.560
<v Speaker 1>a Texas thing. We put ridiculous resources into football. So

0:38:07.640 --> 0:38:09.799
<v Speaker 1>the fact that he was good at football in a

0:38:09.880 --> 0:38:13.560
<v Speaker 1>Texas youth league means something. Um, he was not a

0:38:13.560 --> 0:38:15.959
<v Speaker 1>big kid. His mom didn't want him to join because

0:38:16.000 --> 0:38:18.239
<v Speaker 1>she was worried he'd get beaten badly. But he was

0:38:18.320 --> 0:38:21.480
<v Speaker 1>so good at memorizing plays and understanding like the rule

0:38:21.560 --> 0:38:23.799
<v Speaker 1>mechanics of the games that his coach made him a

0:38:23.840 --> 0:38:26.719
<v Speaker 1>defensive captain. So you're kind of he's he's he's more

0:38:26.760 --> 0:38:28.880
<v Speaker 1>flexible than you might expect, And I think that a

0:38:28.920 --> 0:38:30.640
<v Speaker 1>lot of that goes down to the kind of education

0:38:30.680 --> 0:38:32.920
<v Speaker 1>he has that they really put a lot of value

0:38:32.920 --> 0:38:35.760
<v Speaker 1>in trying to like make these kids, give them space

0:38:35.760 --> 0:38:38.440
<v Speaker 1>to experiments so they grow up well rounded, because clearly

0:38:39.120 --> 0:38:42.160
<v Speaker 1>he does. The fact that he's he's he's building robots,

0:38:42.200 --> 0:38:46.200
<v Speaker 1>and he's playing football. UM is a kind of is

0:38:46.239 --> 0:38:48.440
<v Speaker 1>sort of an example of the success of the school system.

0:38:48.480 --> 0:38:52.440
<v Speaker 1>He grows up in UM. He spent his high school years.

0:38:52.600 --> 0:38:53.840
<v Speaker 1>By the time he moved in the high school he

0:38:53.880 --> 0:38:56.760
<v Speaker 1>got to high school, his family moves to Florida because

0:38:56.840 --> 0:38:59.399
<v Speaker 1>for ex On mobile kind of ship UM. And once

0:38:59.440 --> 0:39:02.040
<v Speaker 1>he gets to Florida, he immediately informs his new public

0:39:02.080 --> 0:39:04.880
<v Speaker 1>school classmates that he was going to be the valedictorian.

0:39:05.880 --> 0:39:08.120
<v Speaker 1>His first summer job in high school was as a

0:39:08.120 --> 0:39:10.600
<v Speaker 1>fry cook at McDonald's, and he passed the time by

0:39:10.600 --> 0:39:14.440
<v Speaker 1>studying the different ways that McDonald's had automated their production process.

0:39:14.920 --> 0:39:17.440
<v Speaker 1>However interested he was in this, he decided early on

0:39:17.520 --> 0:39:19.759
<v Speaker 1>that he did not like working for other people and

0:39:19.760 --> 0:39:23.200
<v Speaker 1>he wanted to own his own business. Someday. He succeeded

0:39:23.239 --> 0:39:26.200
<v Speaker 1>in becoming valedictorian of his high school, and in his speech,

0:39:26.239 --> 0:39:29.239
<v Speaker 1>he called for humankind to colonize space so that they

0:39:29.239 --> 0:39:31.800
<v Speaker 1>could preserve the Earth and turn it into a giant

0:39:31.800 --> 0:39:34.800
<v Speaker 1>park once all the human beings were gone, which is

0:39:35.080 --> 0:39:37.520
<v Speaker 1>a story that story like came out recently Jeff Bezos

0:39:37.560 --> 0:39:39.160
<v Speaker 1>saying that, like, yeah, I think most people will move

0:39:39.160 --> 0:39:41.360
<v Speaker 1>into space and we'll keep a few people behind on

0:39:41.400 --> 0:39:44.160
<v Speaker 1>the Earth to to maintain it as like a park.

0:39:48.120 --> 0:39:51.880
<v Speaker 1>I'm not happy, man, No, it is interesting to me again,

0:39:51.920 --> 0:39:54.399
<v Speaker 1>how consistent all this is. Like, I don't think he's

0:39:54.400 --> 0:39:58.560
<v Speaker 1>ever changed as a person. Uh, it's the same thing.

0:39:59.000 --> 0:40:02.200
<v Speaker 1>You know, who does want to turn the earth into

0:40:02.239 --> 0:40:05.839
<v Speaker 1>a giant park free of human beings. You can't verify that.

0:40:06.719 --> 0:40:12.000
<v Speaker 1>I mean unless it is like audible or something. That's

0:40:12.000 --> 0:40:16.680
<v Speaker 1>my point. You can't verify that. Yeah, well here's some

0:40:16.800 --> 0:40:26.200
<v Speaker 1>ads we are back. Oh my gosh, I do love

0:40:26.520 --> 0:40:30.240
<v Speaker 1>I do love o our good solid ads for products

0:40:30.280 --> 0:40:33.120
<v Speaker 1>and services. So, and one thing I want to add,

0:40:33.160 --> 0:40:36.360
<v Speaker 1>I I really love everyone telling me how many ads

0:40:36.360 --> 0:40:38.719
<v Speaker 1>there are in Megacort. Thanks. I love that. Yeah, that's

0:40:38.800 --> 0:40:43.839
<v Speaker 1>quite true. Let me know every every episode, let me know, yeah,

0:40:43.920 --> 0:40:47.840
<v Speaker 1>that's literally every message. If they want to pay for it,

0:40:48.080 --> 0:40:49.719
<v Speaker 1>you know, yeah exactly, or if you're gonna pay for

0:40:49.800 --> 0:40:51.920
<v Speaker 1>you know, put put food in my family's table, Like

0:40:52.120 --> 0:40:55.560
<v Speaker 1>I gotta paper out there. You know, it's it's all good. Look, man,

0:40:55.640 --> 0:40:58.440
<v Speaker 1>you can skip you can skip ads. You can go

0:40:58.480 --> 0:41:00.480
<v Speaker 1>in and cut them out and put the episode up

0:41:00.520 --> 0:41:06.160
<v Speaker 1>as a torrent. Nobody's going to complain. There's options, there's options.

0:41:06.680 --> 0:41:10.239
<v Speaker 1>As soon as he graduated, Jeff Um, he and a

0:41:10.280 --> 0:41:13.200
<v Speaker 1>school friend started a company of their own. UM. So

0:41:13.239 --> 0:41:15.080
<v Speaker 1>he gets out of high school and like the summer

0:41:15.120 --> 0:41:18.719
<v Speaker 1>after high school, he starts a business with a classmate.

0:41:19.000 --> 0:41:22.360
<v Speaker 1>Their business is called the Dream Institute, and Dream is

0:41:22.400 --> 0:41:26.200
<v Speaker 1>an acronym, and it's a terrible acronym because dream stands

0:41:26.239 --> 0:41:30.359
<v Speaker 1>for directed. There's the D reasoning, there's the R e

0:41:30.480 --> 0:41:36.520
<v Speaker 1>A methods that that's not, that's not, that's not an acronym,

0:41:36.520 --> 0:41:38.880
<v Speaker 1>that's not it's and it's fine, but like it's not

0:41:38.960 --> 0:41:44.480
<v Speaker 1>an active Sorry, young Jeff bezos Um. The Dream Institute

0:41:44.480 --> 0:41:46.840
<v Speaker 1>was a two week summer camp program for fifth graders

0:41:46.880 --> 0:41:49.760
<v Speaker 1>where Jeff and his friend would teach kids about engines, fission,

0:41:49.840 --> 0:41:53.960
<v Speaker 1>interstellar travel, and space phenomena, along with stuff like advertising

0:41:54.000 --> 0:41:56.719
<v Speaker 1>and like the history of advertising. It was an eclectic

0:41:56.760 --> 0:41:58.719
<v Speaker 1>program to say the least. You can see it as

0:41:58.760 --> 0:42:01.399
<v Speaker 1>Jeff trying to kind of give act to kids, some

0:42:01.520 --> 0:42:04.240
<v Speaker 1>element of what he had gotten um as a child.

0:42:04.600 --> 0:42:07.600
<v Speaker 1>A local news report on the Dream Institute makes it

0:42:07.640 --> 0:42:10.840
<v Speaker 1>seem like Jeff's primary interest as an educator was teaching

0:42:10.920 --> 0:42:14.279
<v Speaker 1>kids about space. This passage from the book One Click,

0:42:14.400 --> 0:42:17.359
<v Speaker 1>based on interviews with Jeff's early business partner, makes it

0:42:17.400 --> 0:42:20.279
<v Speaker 1>clear where his head was at the time. Quote he said,

0:42:20.320 --> 0:42:22.799
<v Speaker 1>the future of mankind is not on this planet because

0:42:22.800 --> 0:42:24.799
<v Speaker 1>we might be struck by something and we better have

0:42:24.840 --> 0:42:28.320
<v Speaker 1>a spaceship out there. So, I don't know, just interesting

0:42:28.320 --> 0:42:31.840
<v Speaker 1>to me, very consistent. Yeah, he's yeah, he's had that

0:42:32.040 --> 0:42:34.840
<v Speaker 1>that germ like in his you know, the germ of

0:42:34.840 --> 0:42:37.879
<v Speaker 1>an idea in his brain from very young. Clearly. Yeah. Now,

0:42:37.960 --> 0:42:41.120
<v Speaker 1>the Dream Institute didn't last long, not because it failed,

0:42:41.160 --> 0:42:43.560
<v Speaker 1>but because Jeff was off to Princeton, where he got

0:42:43.560 --> 0:42:46.799
<v Speaker 1>a degree in computer science and electrical engineering. He did

0:42:46.880 --> 0:42:49.560
<v Speaker 1>very well at school, although he was not the valedictorian.

0:42:49.640 --> 0:42:51.600
<v Speaker 1>And in fact, this is kind of a humbling moment

0:42:51.640 --> 0:42:54.160
<v Speaker 1>for him because at Princeton, for the first time, he's

0:42:54.160 --> 0:42:57.480
<v Speaker 1>surrounded by a bunch of other like young, rich, overachievers, UM,

0:42:57.520 --> 0:43:00.760
<v Speaker 1>and he's not the best anymore. Uh, he doesn't really

0:43:00.840 --> 0:43:03.680
<v Speaker 1>stand out at Princeton, and in fact, one of the

0:43:03.760 --> 0:43:06.399
<v Speaker 1>things when when journalists go back to people who were

0:43:06.440 --> 0:43:08.799
<v Speaker 1>in college with Jeff Bezos, one of the things they

0:43:08.840 --> 0:43:11.279
<v Speaker 1>note is that basically no one who was with him

0:43:11.280 --> 0:43:14.240
<v Speaker 1>in school really noticed him or remembered him Like he didn't.

0:43:14.239 --> 0:43:16.960
<v Speaker 1>He doesn't stand out at all. Uh. One of the

0:43:16.960 --> 0:43:19.240
<v Speaker 1>few anecdotes we get about him from a college friend

0:43:19.280 --> 0:43:21.520
<v Speaker 1>is that he liked to play beer pong, which is

0:43:21.560 --> 0:43:25.359
<v Speaker 1>like the blandest personality trait you can have in college, Like, yeah,

0:43:25.400 --> 0:43:28.120
<v Speaker 1>everybody plays beer pog into college, Like is that? What

0:43:28.600 --> 0:43:33.000
<v Speaker 1>is sorry? What is beer pong? Again? It's so you

0:43:33.040 --> 0:43:36.040
<v Speaker 1>have you have like a fucking a table tennis court,

0:43:36.080 --> 0:43:39.680
<v Speaker 1>and we're not going to laugh about that. What did

0:43:40.640 --> 0:43:45.319
<v Speaker 1>Like Jacob didn't play beer poll I don't know doing

0:43:45.360 --> 0:43:46.960
<v Speaker 1>in England, you know, I didn't. I didn't go to

0:43:47.040 --> 0:43:49.239
<v Speaker 1>university though, so I don't know, man, Like, I don't

0:43:49.280 --> 0:43:51.399
<v Speaker 1>think people do it here, you know, I dropped out

0:43:51.440 --> 0:43:56.080
<v Speaker 1>of university. But I definitely, yeah, I can imagine. But

0:43:56.360 --> 0:43:58.360
<v Speaker 1>I think people who just they just get smashed, you know,

0:43:58.520 --> 0:44:01.120
<v Speaker 1>I don't. Yeah, I mean that's mostly what you do.

0:44:01.200 --> 0:44:03.279
<v Speaker 1>The basic ideas you have like a table tennis or

0:44:03.440 --> 0:44:05.080
<v Speaker 1>you could just set up like a card table and

0:44:05.120 --> 0:44:08.400
<v Speaker 1>you stack a bunch of like like quarter full cups

0:44:08.400 --> 0:44:11.760
<v Speaker 1>of beer on it, and you have like table tennis rackets,

0:44:11.800 --> 0:44:14.400
<v Speaker 1>and you have like little clear white plastic balls and

0:44:14.440 --> 0:44:16.439
<v Speaker 1>you hit them to each other. And if you knock,

0:44:16.560 --> 0:44:18.000
<v Speaker 1>if you knock a ball in the one of the

0:44:18.000 --> 0:44:21.799
<v Speaker 1>cups the table tennis racket, there's a number of ways,

0:44:21.840 --> 0:44:24.080
<v Speaker 1>but you're you're you're knocking these balls back and forth.

0:44:24.120 --> 0:44:26.000
<v Speaker 1>And if you knock a ball into a drink, your

0:44:26.000 --> 0:44:28.359
<v Speaker 1>opponent has to drink it. If they knock a ball

0:44:28.400 --> 0:44:30.239
<v Speaker 1>into a drink, you have to drink it. And you

0:44:30.280 --> 0:44:35.080
<v Speaker 1>repeat this until everybody's drunk. Right, that's the basic idea. Yeah,

0:44:35.080 --> 0:44:37.400
<v Speaker 1>it's not I have nothing against beer pong. It's just

0:44:37.480 --> 0:44:42.440
<v Speaker 1>it's like everybody in college like liking I remember he

0:44:42.560 --> 0:44:45.280
<v Speaker 1>liked beer pong. It's like I remember he ate food.

0:44:45.800 --> 0:44:50.479
<v Speaker 1>Yeah yeah, okay, if you say he refused to play

0:44:50.480 --> 0:44:52.920
<v Speaker 1>beer pong, that's a personality trait. But like you know,

0:44:53.040 --> 0:44:55.759
<v Speaker 1>although just kind of the idea in my head of

0:44:55.800 --> 0:44:58.320
<v Speaker 1>like a guy that just really loves beer pong is

0:44:58.400 --> 0:45:03.840
<v Speaker 1>quite funny. Like every he just like start Jeff calmed

0:45:03.920 --> 0:45:06.960
<v Speaker 1>down like Jesus Christ. I mean, if he liked it

0:45:07.000 --> 0:45:10.000
<v Speaker 1>for the like One of the things I found positive

0:45:10.040 --> 0:45:12.080
<v Speaker 1>about beer pong is that, like I was not a

0:45:12.160 --> 0:45:14.880
<v Speaker 1>very social kid, I was not good Like when I

0:45:14.920 --> 0:45:16.959
<v Speaker 1>was nineteen, I was not good at talking to people

0:45:17.000 --> 0:45:19.319
<v Speaker 1>at parties. But I could drink a lot and if

0:45:19.360 --> 0:45:22.240
<v Speaker 1>I could just play, and beer pong was very simple,

0:45:22.560 --> 0:45:25.840
<v Speaker 1>so you could participate in the party without actually engaging

0:45:25.880 --> 0:45:28.560
<v Speaker 1>with anybody. If you were, you know, an anxious kid

0:45:28.560 --> 0:45:30.840
<v Speaker 1>who didn't really understand how to hang out around people

0:45:31.200 --> 0:45:34.080
<v Speaker 1>until I found mushrooms. I was not very good at

0:45:33.640 --> 0:45:36.680
<v Speaker 1>at being in social situations. So I'm wondering if maybe

0:45:36.760 --> 0:45:38.480
<v Speaker 1>it was something like that for Jeff, where it's like, oh,

0:45:38.520 --> 0:45:40.800
<v Speaker 1>I understand the rules of this, you know what. It

0:45:40.880 --> 0:45:43.560
<v Speaker 1>might be funnier that I can just imagine him being like,

0:45:44.360 --> 0:45:47.120
<v Speaker 1>I want to be the best beer pong you know,

0:45:48.760 --> 0:45:50.520
<v Speaker 1>you don't even care about He's like, I need to win.

0:45:50.760 --> 0:45:52.879
<v Speaker 1>I don't know. I could just say yeah, that that

0:45:52.880 --> 0:45:56.520
<v Speaker 1>that that would not surprise me. Um. Yeah, I'm gonna

0:45:56.600 --> 0:45:59.120
<v Speaker 1>read a quote from the book One Click about Jeff

0:45:59.160 --> 0:46:03.760
<v Speaker 1>in uh college from some interviews with his classmates. Quote,

0:46:04.320 --> 0:46:07.160
<v Speaker 1>Jeff wasn't much of a ladies man, perhaps Princeton women

0:46:07.200 --> 0:46:10.440
<v Speaker 1>aren't into beer pong. He explained his own romantic shortcomings

0:46:10.440 --> 0:46:13.440
<v Speaker 1>this way. I'm not the kind of person where women say, oh, look,

0:46:13.480 --> 0:46:15.560
<v Speaker 1>how great he is a half hour after meeting me.

0:46:15.800 --> 0:46:17.560
<v Speaker 1>I'm kind of goofy, and I'm not. It's not the

0:46:17.600 --> 0:46:19.440
<v Speaker 1>kind of thing where people are going to say about me,

0:46:19.480 --> 0:46:21.560
<v Speaker 1>Oh my god, this is what we've been looking for.

0:46:21.960 --> 0:46:26.480
<v Speaker 1>Another classmate, e J. Chichilnisky, would bump into him occasionally,

0:46:26.560 --> 0:46:28.719
<v Speaker 1>but today can recall nothing more than that he was

0:46:28.920 --> 0:46:32.200
<v Speaker 1>bright and motivated and organized. So he doesn't really like

0:46:32.640 --> 0:46:35.600
<v Speaker 1>he doesn't stand out at all in in college, which

0:46:35.640 --> 0:46:37.680
<v Speaker 1>is interesting to me, Like he becomes the richest man

0:46:37.719 --> 0:46:39.600
<v Speaker 1>in the world, and all his classmates are like, yeah,

0:46:39.640 --> 0:46:43.360
<v Speaker 1>he was just kind of a kid, you know. Um,

0:46:43.400 --> 0:46:47.040
<v Speaker 1>it's probably worth noting here in terms of weird aspects

0:46:47.040 --> 0:46:50.000
<v Speaker 1>of Jeff Bezos' personality, that he does not like music,

0:46:50.600 --> 0:46:55.880
<v Speaker 1>like period, he doesn't does not get music. That's the

0:46:55.920 --> 0:46:58.839
<v Speaker 1>biggest red flag, right, Like, I don't care what kind

0:46:58.880 --> 0:47:01.840
<v Speaker 1>of music you like. It's like it's the it's the

0:47:01.960 --> 0:47:05.080
<v Speaker 1>chief miracle of human existence. If you don't get it

0:47:05.200 --> 0:47:08.959
<v Speaker 1>at all, that's kind of odd. Yeah, that's really strange. Yeah,

0:47:09.000 --> 0:47:12.640
<v Speaker 1>that's that's so nerving. Actually, yeah, it is weird, like

0:47:13.360 --> 0:47:16.800
<v Speaker 1>force your favorite music. I don't like music, like in general, Like, no,

0:47:17.040 --> 0:47:19.880
<v Speaker 1>that's odd man. Yeah, and he has to um. As

0:47:19.960 --> 0:47:22.759
<v Speaker 1>a kid, he recognizes that this is off putting, and

0:47:22.800 --> 0:47:25.399
<v Speaker 1>so while he's in high school, he memorizes the call

0:47:25.480 --> 0:47:28.480
<v Speaker 1>letters for every local radio station so he can pretend

0:47:28.480 --> 0:47:30.960
<v Speaker 1>to like music if the subject comes up in conversations

0:47:30.960 --> 0:47:34.960
<v Speaker 1>with other kids. It shows the disconnect too, because it's like,

0:47:35.080 --> 0:47:36.759
<v Speaker 1>I don't like music, but I need to be able

0:47:36.760 --> 0:47:39.760
<v Speaker 1>to pretend it. I'll memorize the names of radio stations.

0:47:39.800 --> 0:47:41.640
<v Speaker 1>That way people will think I like music, And it's

0:47:41.680 --> 0:47:46.120
<v Speaker 1>like that's not how people talk about music. Ye, that

0:47:46.239 --> 0:47:50.239
<v Speaker 1>behavior this new radio station, I know the phone number

0:47:50.280 --> 0:47:55.360
<v Speaker 1>to it. No one's gonna be like, oh, he loves music. Yeah, okay, Jeff,

0:47:57.160 --> 0:47:59.000
<v Speaker 1>Like I mean, I don't. I don't. I don't want

0:47:59.000 --> 0:48:00.919
<v Speaker 1>to like second get it. But I've read a lot

0:48:00.960 --> 0:48:04.200
<v Speaker 1>about like, like you know, sociopaths, and they say that

0:48:04.200 --> 0:48:06.319
<v Speaker 1>they're like, you know, there's certain things that they don't

0:48:06.400 --> 0:48:08.520
<v Speaker 1>understand it, but they know how to emulate it to

0:48:08.600 --> 0:48:10.960
<v Speaker 1>fit in. And that sounds like that, you know, I

0:48:11.040 --> 0:48:13.160
<v Speaker 1>was saying that he emulated it pretty badly. So yeah,

0:48:13.160 --> 0:48:15.200
<v Speaker 1>and it's one of those things I don't know, because

0:48:15.200 --> 0:48:17.120
<v Speaker 1>like I had my version of that, Like I never

0:48:17.239 --> 0:48:19.800
<v Speaker 1>liked football, but I played it, and I like learned

0:48:19.800 --> 0:48:21.520
<v Speaker 1>to feign interest in it because you have to be

0:48:21.560 --> 0:48:24.400
<v Speaker 1>able to pretend to like football in Texas. But yeah,

0:48:24.760 --> 0:48:28.200
<v Speaker 1>that's less basic than pretending to understand the appeal of

0:48:28.360 --> 0:48:34.560
<v Speaker 1>music as a concept. Dogs like music, dogs like plants

0:48:34.600 --> 0:48:37.480
<v Speaker 1>grow from it. Like, no, it's very weird that yeah,

0:48:37.520 --> 0:48:40.680
<v Speaker 1>that's it's that's a bit peculiar. A lot of people

0:48:40.960 --> 0:48:43.040
<v Speaker 1>this is relevant to Amazon in part because a lot

0:48:43.080 --> 0:48:45.839
<v Speaker 1>of people claim the reason Apple got the iPod out

0:48:45.880 --> 0:48:49.520
<v Speaker 1>and iTunes that Apple because Amazon and Apple kind of

0:48:49.520 --> 0:48:51.040
<v Speaker 1>had a fight to see who was going to be

0:48:51.080 --> 0:48:54.319
<v Speaker 1>the kings of digital music, and Apple wins um and

0:48:54.400 --> 0:48:56.520
<v Speaker 1>a lot of people will say that it's probably because

0:48:56.520 --> 0:49:00.279
<v Speaker 1>Steve Jobs famously loved music. Jobs was like obsessed with with,

0:49:00.600 --> 0:49:03.920
<v Speaker 1>uh like music, and from a pretty early stage in

0:49:04.000 --> 0:49:06.960
<v Speaker 1>his business, wanted to deliver something like the iPod because

0:49:06.960 --> 0:49:10.080
<v Speaker 1>he cared about people being able to listen to music.

0:49:10.360 --> 0:49:13.680
<v Speaker 1>And Jeff Bezos misses this trade, which is kind of

0:49:13.680 --> 0:49:16.680
<v Speaker 1>an obvious money train right, especially if you're doing Amazon

0:49:16.680 --> 0:49:18.799
<v Speaker 1>ship in the nineties, you should probably be able to

0:49:18.800 --> 0:49:20.600
<v Speaker 1>see that, like, oh yeah, digital music is going to

0:49:20.640 --> 0:49:22.839
<v Speaker 1>be a big deal financially, we should get into that.

0:49:23.160 --> 0:49:25.759
<v Speaker 1>But Jeff doesn't, because like he does not understand the

0:49:25.800 --> 0:49:29.120
<v Speaker 1>appeal of music on a fundamental level. Yeah, that's such

0:49:29.239 --> 0:49:32.000
<v Speaker 1>like a hiccup there. He's just it's like he's just

0:49:32.040 --> 0:49:34.279
<v Speaker 1>like no, I don't. I don't why, like why It's

0:49:34.320 --> 0:49:37.320
<v Speaker 1>like that's that's kind of nuts. Yeah, there's another story

0:49:37.320 --> 0:49:39.960
<v Speaker 1>about him that, like in the early days of the company,

0:49:40.040 --> 0:49:43.080
<v Speaker 1>like two one, Uh, he's like on a work trip

0:49:43.160 --> 0:49:45.000
<v Speaker 1>with a bunch of employees and they have to drive

0:49:45.040 --> 0:49:48.640
<v Speaker 1>back and nine eleven happens, and everybody's like bummed out

0:49:48.680 --> 0:49:50.680
<v Speaker 1>and like freaked out and has to they have to

0:49:50.760 --> 0:49:53.640
<v Speaker 1>drive across the country like right after nine eleven, and

0:49:53.680 --> 0:49:55.440
<v Speaker 1>to try to cheer everyone up, he goes into a

0:49:55.440 --> 0:49:58.120
<v Speaker 1>truck stop and just gets a random assortment of CDs

0:49:58.520 --> 0:50:03.800
<v Speaker 1>just like randomly picks mus off the shelf to play. Okay,

0:50:03.920 --> 0:50:08.080
<v Speaker 1>Jeff to see him put it on, like like you know,

0:50:10.760 --> 0:50:15.239
<v Speaker 1>everyone's like, no, not that song just yet. I can

0:50:15.360 --> 0:50:19.320
<v Speaker 1>only imagine what young Jeffrey bais this is like dating

0:50:19.400 --> 0:50:23.759
<v Speaker 1>profile would look like. I don't think he did. I mean, yeah,

0:50:23.760 --> 0:50:26.560
<v Speaker 1>he's got other things on his mind dating like what

0:50:26.640 --> 0:50:30.880
<v Speaker 1>he would mock up on there. Oh yeah, you just

0:50:30.920 --> 0:50:33.560
<v Speaker 1>look at the top forty and list all of the bands,

0:50:35.440 --> 0:50:37.600
<v Speaker 1>just like I can calculate how long it's going to

0:50:37.640 --> 0:50:40.160
<v Speaker 1>be before your grandma dies, you know what I mean? Yeah, yeah,

0:50:41.880 --> 0:50:44.600
<v Speaker 1>that's his entire Okay, Cupid, I can tell you when

0:50:44.640 --> 0:50:49.400
<v Speaker 1>your grandparents will die. The women will love this, you

0:50:49.440 --> 0:50:52.880
<v Speaker 1>know what. That might do better than you'd expect to

0:50:52.920 --> 0:50:59.799
<v Speaker 1>be fair worse. During his summer vacation in nineteen four,

0:51:00.120 --> 0:51:02.239
<v Speaker 1>he's in college, Jeff goes to visit his mom and

0:51:02.320 --> 0:51:05.440
<v Speaker 1>dad in Norway, where Mike was working again for x On.

0:51:06.000 --> 0:51:08.920
<v Speaker 1>Jeff got a summer job programming for the oil giant,

0:51:09.040 --> 0:51:12.800
<v Speaker 1>mainly coding a computer model to calculate royalties for the company.

0:51:13.120 --> 0:51:15.360
<v Speaker 1>He gets some work for IBM the next year, and

0:51:15.360 --> 0:51:17.560
<v Speaker 1>when he graduates, he manages to get a job with

0:51:17.600 --> 0:51:21.839
<v Speaker 1>a company called Fittell, off the recommendation of his classmate Chichilnitsky,

0:51:22.040 --> 0:51:25.520
<v Speaker 1>who now claims to barely remember him. Fittell provided computer

0:51:25.640 --> 0:51:29.200
<v Speaker 1>solutions for investment banks and brokerages. When Jeff joined. They

0:51:29.200 --> 0:51:31.360
<v Speaker 1>were in the process of building a sort of internet

0:51:31.440 --> 0:51:34.320
<v Speaker 1>to link computers from a bunch of different financial firms

0:51:34.360 --> 0:51:38.680
<v Speaker 1>together in order to trade more effectively. And the descendant

0:51:38.800 --> 0:51:40.560
<v Speaker 1>of this thing that Jeff was working on is how

0:51:40.600 --> 0:51:42.640
<v Speaker 1>all trading has done today. Right. It's all banks of

0:51:42.680 --> 0:51:46.200
<v Speaker 1>networked machines talking to each other making split second financial

0:51:46.239 --> 0:51:49.080
<v Speaker 1>decisions that no human would have the time to make. Uh.

0:51:49.120 --> 0:51:52.160
<v Speaker 1>And Jeff is not the driving force behind this change, right,

0:51:52.200 --> 0:51:54.640
<v Speaker 1>He's He's one of the people who's coding the early

0:51:54.760 --> 0:51:56.600
<v Speaker 1>stages of this change that I think you could argue

0:51:56.640 --> 0:51:59.120
<v Speaker 1>has been disastrous. But he's not. It's not like this

0:51:59.160 --> 0:52:01.759
<v Speaker 1>is he doesn't start this trend um, but he is

0:52:01.800 --> 0:52:04.640
<v Speaker 1>a part of it. Yeah. Um. He was good at

0:52:04.640 --> 0:52:06.359
<v Speaker 1>the job, and inside of a year he had been

0:52:06.400 --> 0:52:10.400
<v Speaker 1>promoted to manage a dozen programmers. He bounced around different

0:52:10.440 --> 0:52:14.200
<v Speaker 1>early financial tech companies for a while, mainly programming different

0:52:14.239 --> 0:52:17.279
<v Speaker 1>software solutions to allow bankers to communicate with each other.

0:52:17.640 --> 0:52:20.080
<v Speaker 1>In nine nine, he got to talking with a banking

0:52:20.120 --> 0:52:23.320
<v Speaker 1>analyst named Halsey, who also wanted to be an entrepreneur.

0:52:23.640 --> 0:52:26.400
<v Speaker 1>Halsey and Bezos hit on an idea to expand the

0:52:26.440 --> 0:52:30.680
<v Speaker 1>limited intranets, they've been building into something separate, a network

0:52:30.719 --> 0:52:33.920
<v Speaker 1>that anyone could use to connect subscribers to news stories

0:52:34.200 --> 0:52:37.759
<v Speaker 1>curated algorithmically by the person's interests. So they kind of

0:52:37.840 --> 0:52:40.759
<v Speaker 1>hit upon in the in the eighties this idea of like,

0:52:41.280 --> 0:52:44.919
<v Speaker 1>we should build a news feed that like reads, pays

0:52:44.960 --> 0:52:47.359
<v Speaker 1>attention to what people are reading and gives them more

0:52:47.400 --> 0:52:49.840
<v Speaker 1>of that, which is they never make this, but it

0:52:49.960 --> 0:52:51.960
<v Speaker 1>is interesting that he like this is like how the

0:52:52.000 --> 0:52:53.960
<v Speaker 1>whole internet works now, and they kind of get that

0:52:54.040 --> 0:52:57.239
<v Speaker 1>in the eighties. Like he's clearly understands the promise of

0:52:57.280 --> 0:53:00.640
<v Speaker 1>a lot of this technology earlier than most people. Yeah, definitely,

0:53:00.840 --> 0:53:03.560
<v Speaker 1>I think you've definitely heard of his time in some ways,

0:53:03.640 --> 0:53:06.080
<v Speaker 1>you know what I mean. Yeah, especially from a data

0:53:06.120 --> 0:53:09.160
<v Speaker 1>perspective line, I think that actually helped him a lot. Yeah,

0:53:09.200 --> 0:53:11.960
<v Speaker 1>I think it absolutely does. Um And for a while

0:53:12.000 --> 0:53:14.279
<v Speaker 1>Bezos and Halsey like try to get Mary Lynch to

0:53:14.360 --> 0:53:16.319
<v Speaker 1>invest in this idea, but Marylynch is like, I don't

0:53:16.360 --> 0:53:18.640
<v Speaker 1>think there's any financial future in this, and they don't

0:53:18.640 --> 0:53:21.160
<v Speaker 1>put down the money, which is very funny that like

0:53:21.200 --> 0:53:25.520
<v Speaker 1>Mary Lynch could have owned basically Facebook in the late eighties.

0:53:26.840 --> 0:53:30.320
<v Speaker 1>But maybe the Yeah, I mean, obviously it would have

0:53:30.360 --> 0:53:34.439
<v Speaker 1>been a disaster. Probably it didn't happen. Yeah, Jeff moves

0:53:34.440 --> 0:53:37.480
<v Speaker 1>on to a company called D E. Shaw. Now D E.

0:53:37.600 --> 0:53:40.279
<v Speaker 1>Shaw was another investment kind of firm. They manage a

0:53:40.320 --> 0:53:42.800
<v Speaker 1>hedge fund, and it would be the last place Jeff

0:53:42.840 --> 0:53:46.400
<v Speaker 1>Bezos ever worked for anyone else. Um. The firm is

0:53:46.480 --> 0:53:48.640
<v Speaker 1>kind of where he gets finished and turned into the

0:53:48.640 --> 0:53:50.560
<v Speaker 1>man who would start Amazon. And a big part of

0:53:50.560 --> 0:53:52.960
<v Speaker 1>that goes to his boss, the founder of the company,

0:53:53.040 --> 0:53:57.719
<v Speaker 1>David Shaw. David is like, he's a brilliant financial technology guy.

0:53:57.760 --> 0:54:01.360
<v Speaker 1>He's he's a really innovative thinker within that field. His company,

0:54:01.440 --> 0:54:03.400
<v Speaker 1>they're kind of they're kind of seen as within this

0:54:03.440 --> 0:54:07.160
<v Speaker 1>industry being mavericks and being like super creative and ahead

0:54:07.160 --> 0:54:11.000
<v Speaker 1>of the curve on everything. And Jeff really admires David Shaw,

0:54:11.040 --> 0:54:14.200
<v Speaker 1>who's analytical. But Jeff like the thing Jeff praises him

0:54:14.200 --> 0:54:17.799
<v Speaker 1>for is having a perfectly developed left and right brain. Um,

0:54:17.840 --> 0:54:20.080
<v Speaker 1>and you kind of get the impression he's one of

0:54:20.120 --> 0:54:22.560
<v Speaker 1>the very few people Jeff ever saw as not just

0:54:22.600 --> 0:54:26.040
<v Speaker 1>a mentor but like an equal. Um. That doesn't happen

0:54:26.080 --> 0:54:28.640
<v Speaker 1>a lot with Bezos, but he really admires this guy.

0:54:29.080 --> 0:54:31.319
<v Speaker 1>So while he's working at D. E. Shaw, Jeff was

0:54:31.360 --> 0:54:34.120
<v Speaker 1>also working to get himself a girlfriend. And I'm going

0:54:34.160 --> 0:54:36.800
<v Speaker 1>to read a quote now from the book The Everything Store.

0:54:36.960 --> 0:54:39.680
<v Speaker 1>There's always one of these for Bezos, for Zuckerberg, for

0:54:39.719 --> 0:54:44.040
<v Speaker 1>fucking uh um Gates. There's always a weirdo quote about

0:54:44.080 --> 0:54:48.240
<v Speaker 1>this sort of thing. Bezos thought analytically about everything, including

0:54:48.280 --> 0:54:51.719
<v Speaker 1>social situations. Single at the time, he started taking ballroom

0:54:51.800 --> 0:54:54.840
<v Speaker 1>dance classes, calculating that it would increase his exposure to

0:54:54.880 --> 0:54:58.560
<v Speaker 1>what he called in plus women. He later famously admitted

0:54:58.560 --> 0:55:01.200
<v Speaker 1>to thinking about how to increase his as women flow,

0:55:01.480 --> 0:55:04.400
<v Speaker 1>a Wall Street corollary to deal flow the number of

0:55:04.440 --> 0:55:10.200
<v Speaker 1>new opportunities a banker can access. So it's it's one

0:55:10.239 --> 0:55:12.040
<v Speaker 1>of those things. It's like if he just said he

0:55:12.080 --> 0:55:14.279
<v Speaker 1>wanted to meet women, so he learned a ballroom dance,

0:55:14.320 --> 0:55:16.120
<v Speaker 1>I'd say, well, that's great. That's what you should do.

0:55:16.160 --> 0:55:18.160
<v Speaker 1>If you want to meet people, go learn a new thing.

0:55:18.280 --> 0:55:20.359
<v Speaker 1>You expose yourself to more people. The fact that he's

0:55:20.400 --> 0:55:21.840
<v Speaker 1>thinking about it like, well, I have to increase the

0:55:21.840 --> 0:55:23.839
<v Speaker 1>flow of women that I communicate with on a daily

0:55:23.880 --> 0:55:26.799
<v Speaker 1>basis in order, Like that's there's implus coefficient will raise

0:55:26.840 --> 0:55:28.920
<v Speaker 1>and then I'll have a higher chance of it. Is like,

0:55:29.520 --> 0:55:33.319
<v Speaker 1>it's not how flow go up? Yeah, women flow up.

0:55:34.680 --> 0:55:37.640
<v Speaker 1>It's so creepy man. Yeah, it's like everything's a transaction,

0:55:37.800 --> 0:55:41.600
<v Speaker 1>you know. Yeah, he's a way. Sometimes it is, but

0:55:41.680 --> 0:55:44.960
<v Speaker 1>that's not a positive way, you know. And I don't

0:55:45.000 --> 0:55:46.880
<v Speaker 1>think you tend to get the best results if you

0:55:46.920 --> 0:55:50.879
<v Speaker 1>go out to meet people thinking about it like a transaction. Yeah. Yeah,

0:55:50.960 --> 0:55:53.680
<v Speaker 1>definitely definitely not worrying about your m flow or whatever

0:55:53.719 --> 0:55:57.680
<v Speaker 1>it was. Yeah. So, Jeff's colleagues knew him as a

0:55:57.719 --> 0:56:00.000
<v Speaker 1>hard worker who also felt the need to brag about

0:56:00.040 --> 0:56:02.320
<v Speaker 1>how hard he worked. He kept a rolled up sleeping

0:56:02.320 --> 0:56:04.920
<v Speaker 1>bag in his office in ostensibly in case he needed

0:56:04.960 --> 0:56:07.440
<v Speaker 1>to work overnight, but his colleagues say it was mostly

0:56:07.480 --> 0:56:11.320
<v Speaker 1>a prop right. Um. The bag and the phone padding

0:56:11.360 --> 0:56:14.959
<v Speaker 1>for it were always in view, like he I'm sure

0:56:14.960 --> 0:56:17.400
<v Speaker 1>he does sleep in his office occasionally, but more than anything,

0:56:17.440 --> 0:56:19.720
<v Speaker 1>it's so that other people know he's willing to sleep

0:56:19.719 --> 0:56:23.680
<v Speaker 1>in his office, you know. Um yeah. Uh. In nine,

0:56:24.560 --> 0:56:26.919
<v Speaker 1>the hedge fund that he worked for hired a woman

0:56:27.040 --> 0:56:30.919
<v Speaker 1>named mckenzy Tuttle. She'd graduated from Princeton, where she'd gotten

0:56:30.920 --> 0:56:33.919
<v Speaker 1>a degree in English and studied with Tony Morrison. She'd

0:56:33.920 --> 0:56:37.160
<v Speaker 1>published a novel prior to starting work as an administrative assistant.

0:56:37.360 --> 0:56:40.319
<v Speaker 1>In short order, she worked directly for Jeff Bezos, who

0:56:40.360 --> 0:56:43.080
<v Speaker 1>had a huge crush on her. One of his then

0:56:43.080 --> 0:56:46.239
<v Speaker 1>colleagues remembers a night out when Bezos hired a limousine

0:56:46.280 --> 0:56:49.319
<v Speaker 1>to take several co workers to a nightclub. Quote, he

0:56:49.400 --> 0:56:52.320
<v Speaker 1>was treating the whole group, but he was clearly focused

0:56:52.360 --> 0:56:57.000
<v Speaker 1>on mackenzie. So I mean, that's whatever. And I should

0:56:57.040 --> 0:56:59.560
<v Speaker 1>note here that, like, because we talked about Bill Gates,

0:56:59.640 --> 0:57:01.880
<v Speaker 1>kind of it on coworkers in a way that was

0:57:02.040 --> 0:57:05.480
<v Speaker 1>more unsettling. McKenzie herself claims that Jeff did not hit

0:57:05.560 --> 0:57:08.520
<v Speaker 1>on her. She disagrees with the version of events put

0:57:08.520 --> 0:57:11.040
<v Speaker 1>forward by her colleagues and claims that she fell in

0:57:11.080 --> 0:57:13.520
<v Speaker 1>love with him. Um and and was the person who

0:57:13.520 --> 0:57:16.880
<v Speaker 1>instigated the relationship. Um and I certainly am not second

0:57:16.920 --> 0:57:19.000
<v Speaker 1>guessing her on this, Like, I don't know he Wasn't

0:57:19.040 --> 0:57:22.080
<v Speaker 1>he a creepy She does not. She she doesn't think

0:57:22.080 --> 0:57:26.120
<v Speaker 1>it's like a creepy office thing. Yeah. She claims that

0:57:26.160 --> 0:57:28.280
<v Speaker 1>she had an office next to his and she fell

0:57:28.320 --> 0:57:36.680
<v Speaker 1>in love with his. Laugh, um laugh, It's like Yeah,

0:57:36.720 --> 0:57:40.080
<v Speaker 1>it's it's bizarre. That's a that's a fascinating thing to say,

0:57:40.640 --> 0:57:42.840
<v Speaker 1>because I think we should break in to discuss Jeff

0:57:42.880 --> 0:57:44.840
<v Speaker 1>Bezos's laugh here, and I want to read a quote

0:57:44.840 --> 0:57:49.880
<v Speaker 1>from Brad Stone, his best biographer, discussing Jeff's laugh. Much

0:57:49.920 --> 0:57:52.400
<v Speaker 1>has been made over the years of Bezos's famous laugh.

0:57:52.560 --> 0:57:55.680
<v Speaker 1>It's a startling, pulse pounding bray that he leans into

0:57:55.680 --> 0:57:58.800
<v Speaker 1>while craning his neck back, closing his eyes, and letting

0:57:58.800 --> 0:58:01.240
<v Speaker 1>loose with a guttural or that sounds like a cross

0:58:01.280 --> 0:58:04.680
<v Speaker 1>between a mating elephant, seal and a power tool. Often

0:58:04.680 --> 0:58:07.520
<v Speaker 1>it comes when nothing is obviously funny to anyone else.

0:58:07.800 --> 0:58:10.040
<v Speaker 1>In a way, bezos His laugh is a mystery that

0:58:10.080 --> 0:58:13.200
<v Speaker 1>has never been solved. One doesn't expect someone so intense

0:58:13.240 --> 0:58:15.720
<v Speaker 1>and focused to have a raucous laugh like that, and

0:58:15.760 --> 0:58:18.560
<v Speaker 1>no one in his family seems to share it. Employees

0:58:18.640 --> 0:58:21.440
<v Speaker 1>know the laugh primarily as a heart stabbing sound that

0:58:21.520 --> 0:58:24.920
<v Speaker 1>slices through conversation and rocks its targets back on their heels.

0:58:25.240 --> 0:58:27.160
<v Speaker 1>More than a few of his colleagues suggests that on

0:58:27.200 --> 0:58:30.280
<v Speaker 1>some level this is intentional. That Bezos wields his laugh

0:58:30.400 --> 0:58:33.440
<v Speaker 1>like a weapon. You can't understand it, says Rick Dalzel,

0:58:33.840 --> 0:58:38.280
<v Speaker 1>Amazon's former chief information officer. It's disarming and punishing. He's

0:58:38.280 --> 0:58:44.920
<v Speaker 1>punishing you. Yeah, he's Gargamo's amazing. Yeah, he's fucking garga Bell. Yeah.

0:58:45.080 --> 0:58:49.000
<v Speaker 1>McKinsey falls over him because if his punishment laugh Jesus,

0:58:49.120 --> 0:58:51.320
<v Speaker 1>yeah she. I don't know. Some people are into like said,

0:58:51.360 --> 0:58:54.040
<v Speaker 1>oh mesochistics. Ship. I don't know, but fucking know, that's

0:58:54.080 --> 0:58:56.760
<v Speaker 1>a weird one if I mean, you know, I don't

0:58:56.760 --> 0:58:58.240
<v Speaker 1>mean I don't want to be like pick on his carrot.

0:58:59.120 --> 0:59:02.360
<v Speaker 1>The laugh is like really unsettling. I think, Yeah, we

0:59:02.360 --> 0:59:06.800
<v Speaker 1>should actually probably in bed audio of that. Yeah, let

0:59:06.840 --> 0:59:16.280
<v Speaker 1>exact me find it. Okay, here's a compilation of Jeff

0:59:16.320 --> 0:59:20.400
<v Speaker 1>Bezos laugh. You want to be a chef, maybe you

0:59:20.440 --> 0:59:22.000
<v Speaker 1>want to be a dancer. I don't know what you

0:59:22.040 --> 0:59:27.640
<v Speaker 1>want to do is going to like, but you do

0:59:27.760 --> 0:59:30.400
<v Speaker 1>need to follow your passion. I would love for it

0:59:30.400 --> 0:59:36.560
<v Speaker 1>to be after I'm dead forty minutes with you. It's

0:59:36.560 --> 0:59:39.880
<v Speaker 1>already clicking down or to use everyone, So no droning

0:59:39.920 --> 0:59:43.200
<v Speaker 1>on I see no, no, that's coming up too. But

0:59:43.240 --> 0:59:44.760
<v Speaker 1>that was actually not supposed to be a bad pun

0:59:45.000 --> 0:59:48.040
<v Speaker 1>And then disclosure you are an investor in business decidety.

0:59:48.040 --> 0:59:50.840
<v Speaker 1>I just want to happy, thank you. It is great

0:59:51.240 --> 0:59:55.520
<v Speaker 1>best midnight snack while your brain stormy. I'm asleep at midnight.

0:59:56.280 --> 0:59:59.959
<v Speaker 1>That's important. That's really good. Guy like you actually gets

1:00:00.000 --> 1:00:02.520
<v Speaker 1>it is it's it's weird. It is a little bit

1:00:02.560 --> 1:00:07.120
<v Speaker 1>of a weird laugh. Look, I don't like it. It's

1:00:07.160 --> 1:00:13.960
<v Speaker 1>not nothing good. It is like weirdly the same a

1:00:14.000 --> 1:00:16.480
<v Speaker 1>lot of the time, Like he's practiced it. I don't know,

1:00:16.960 --> 1:00:22.400
<v Speaker 1>has like villain undertone. He's one of those rich people

1:00:22.440 --> 1:00:25.240
<v Speaker 1>who runs the world that gives credence to the lizard

1:00:25.240 --> 1:00:28.120
<v Speaker 1>man conspiracy theories because like you look at you look

1:00:28.120 --> 1:00:29.440
<v Speaker 1>at and listen to Jeff and you're like, yeah, he

1:00:29.480 --> 1:00:31.640
<v Speaker 1>could be a lizard, right, Like he could be a lizard.

1:00:31.960 --> 1:00:35.240
<v Speaker 1>There could be a lizard under that skin, no doubt,

1:00:35.320 --> 1:00:38.720
<v Speaker 1>no doubt. Yeah, yeah, yeah. But it's like, um, it's

1:00:38.760 --> 1:00:40.680
<v Speaker 1>just I think it just feels forced. I think that's

1:00:40.720 --> 1:00:42.480
<v Speaker 1>the thing, and it's so over the top, you know

1:00:42.560 --> 1:00:45.080
<v Speaker 1>what I mean, When there's no need that, and it

1:00:45.160 --> 1:00:48.120
<v Speaker 1>feels it feels like such an effort to like not

1:00:49.560 --> 1:00:53.000
<v Speaker 1>react genuinely. Um, I don't feel like we're hearing whatever

1:00:53.160 --> 1:00:55.240
<v Speaker 1>is the same thing in the laugh that McKinsey heard,

1:00:55.280 --> 1:00:57.440
<v Speaker 1>probably because he's changed since then. It had to put

1:00:57.480 --> 1:01:00.440
<v Speaker 1>on armor. But it is like Jeff could be a man,

1:01:00.440 --> 1:01:03.200
<v Speaker 1>Elon Musk could only be a human like he's, he's,

1:01:03.280 --> 1:01:07.920
<v Speaker 1>he's his flaws are too obvious and evident, you know, Um,

1:01:08.040 --> 1:01:13.480
<v Speaker 1>Jeff Bezos, Yeah, he's, he's, he's very He's polished himself

1:01:13.520 --> 1:01:15.880
<v Speaker 1>to like a higher extent than pretty much any of

1:01:15.920 --> 1:01:19.560
<v Speaker 1>these other any of the other people in his position, um,

1:01:19.600 --> 1:01:22.720
<v Speaker 1>which is probably why he's he's built something that's so

1:01:22.840 --> 1:01:27.439
<v Speaker 1>much more integral to daily life, and why he's he's

1:01:27.560 --> 1:01:29.280
<v Speaker 1>been so much more successful than most of them. Is

1:01:29.320 --> 1:01:35.760
<v Speaker 1>he's he's he's really good at polishing an image. Yeah, hey, everybody,

1:01:35.840 --> 1:01:37.680
<v Speaker 1>Robert Evans here. This is actually going to be a

1:01:37.680 --> 1:01:40.560
<v Speaker 1>two parter and wound up running very long, so we

1:01:40.640 --> 1:01:43.600
<v Speaker 1>decided to split it here. If you want to find

1:01:43.760 --> 1:01:46.920
<v Speaker 1>Jake Hanrahan on the internet, you can find him at

1:01:46.960 --> 1:01:49.880
<v Speaker 1>popular front. Um. You can support Popular front you can

1:01:49.880 --> 1:01:52.680
<v Speaker 1>listen to or watch their great content, and of course

1:01:52.720 --> 1:01:55.320
<v Speaker 1>you can find his new show Megacorp on the cool

1:01:55.400 --> 1:01:58.880
<v Speaker 1>Zone Media network. Uh. You can also find this show

1:01:59.040 --> 1:02:01.080
<v Speaker 1>wherever shows are found own, which is wherever you are

1:02:01.160 --> 1:02:05.280
<v Speaker 1>right now, because you found it. M mhm