WEBVTT - 09: Who Built Amazon’s Empire?

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<v Speaker 1>I want to thank every Amazon employee and every Amazon

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<v Speaker 1>customer because you guys paid progress. You guys paid probles.

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<v Speaker 1>This is Megacorp, an investigative podcast exposing some of the

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<v Speaker 1>world's most unethical corporations. This series is about Amazon. I'm

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<v Speaker 1>Jake Hanrahan, journalists and documentary filmmaker. Megacorp is produced by

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<v Speaker 1>H eleven for Cool Zone Media. So after eight episodes

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<v Speaker 1>now diving into the many scandals at the heart of Amazon,

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<v Speaker 1>I thought it was time to talk about the man

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<v Speaker 1>who built the empire, Jeff Bezos. As we know, Bezos

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<v Speaker 1>is the richest man on Earth. He founded Amazon in

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<v Speaker 1>and now it's one of the biggest company k needs

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<v Speaker 1>on the planet. Is also, as we've discovered, one of

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<v Speaker 1>the most controversial. But how did Bezos get to this point?

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<v Speaker 1>But if there's anyone that knows that, it's journalist Robert Evans.

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<v Speaker 1>He runs the Behind the Bastards podcast, which looks into

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<v Speaker 1>the lives of some of the worst bastards on Earth.

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<v Speaker 1>So I spoke to Robert Evans about Jeff Bezos. Robert

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<v Speaker 1>goes into a lot of detail in this so mostly

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<v Speaker 1>I'm just gonna let the interview run first. Maybe if

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<v Speaker 1>you can just kind of go into the early life

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<v Speaker 1>of Jeff Bezos, because he didn't start out as Jeff Bezos. Yeah,

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<v Speaker 1>he was born Jeffrey Preston Jourgensen um. And one of

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<v Speaker 1>the things that is I think the first and most

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<v Speaker 1>amazing thing about the Jeff Bezos story is that his

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<v Speaker 1>his actual father abandoned the family. And this is not

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<v Speaker 1>this is not like your normal story of a dude

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<v Speaker 1>winding up without a dad, where like it there's there's

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<v Speaker 1>something like really unsettling or or dark here. It's that

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<v Speaker 1>his his actual father is bio dad um. Theodore Jourgensen

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<v Speaker 1>was just like kind of a uh, kind of a

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<v Speaker 1>ship head carney who really really really loved unicycling. He

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<v Speaker 1>was a high wire unicyclist um, and having a kid

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<v Speaker 1>got in the way of his unicycling dreams. Yes, you

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<v Speaker 1>did hear that right, Jeff Bezos. His biological father abandoned

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<v Speaker 1>him when he was young to fulfill a dream of

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<v Speaker 1>his as a high wire unicyclist. Now, it's not funny

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<v Speaker 1>when somebody abandons the family, but what a strange start

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<v Speaker 1>that is. Anyway, Robot explains more, he could not get

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<v Speaker 1>on board with being Jeffrey's father and eventually kind of

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<v Speaker 1>bounced the funk out of his life and in fact

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<v Speaker 1>did not know that his son was Jeff Bezos and

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<v Speaker 1>who Jeff Bezos was really until a journalist tracked him

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<v Speaker 1>down like decades later when Amazon was a huge deal

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<v Speaker 1>and was like, you know, your kids like super rich

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<v Speaker 1>in creating what's turning into this monster company. He was

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<v Speaker 1>very surprised. Um, and I think is still kind of

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<v Speaker 1>a deadbeat unicyclist dude. So Jeff by the time he

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<v Speaker 1>was pretty young, Um, his mom had met a a

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<v Speaker 1>new dude, UM whose name was Miguel Angel Bezos Perez,

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<v Speaker 1>who was a Cuban who kind of his version of

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<v Speaker 1>the story. And I don't know about much about his

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<v Speaker 1>family back in Cuba or kind of like where they

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<v Speaker 1>stood and whatnot. But he was apparently as a teenager

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<v Speaker 1>like painting anti Castro graffiti, which got him in trouble

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<v Speaker 1>and at age sixteen he had to flee the country. Um,

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<v Speaker 1>and so he wound up in the United States. Uh.

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<v Speaker 1>He did his undergrad work at the University of Albuquerque,

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<v Speaker 1>So he wound up in because Bezos comes from the Southwest, right,

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<v Speaker 1>That's where his his family's like a lot in New

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<v Speaker 1>Mexico because his mom's side of the family were really

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<v Speaker 1>heavily involved in um, the US nuclear programs and like

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<v Speaker 1>nuclear missiles and and all that, all that and stuff.

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<v Speaker 1>Um and Miguel wound up in the same region because

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<v Speaker 1>the University of Albuquerque was offering free scholarships to Cuban refugees,

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<v Speaker 1>and so he met Jeffrey's mom, Jacqueline Um, when he

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<v Speaker 1>was working as a clerk at a bank that she

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<v Speaker 1>worked at two and they fell in love and married

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<v Speaker 1>and I think before jeff really, I don't think jeff

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<v Speaker 1>really remembers much time before mcguel, because Miguel's just kind

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<v Speaker 1>of always been his dad, And so his mom changed

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<v Speaker 1>the changed his last name to Bezos and that's how

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<v Speaker 1>he became Jeffrey bezos Is because this this this Cuban

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<v Speaker 1>immigrant dude kind of uh stepped in to his life

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<v Speaker 1>and took over as his dad. So he got pretty

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<v Speaker 1>lucky there. Um, it's a little bit of a winding story.

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<v Speaker 1>I think it's very funny that his dad abandoned him

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<v Speaker 1>to be a unicyclist, but also I don't I think

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<v Speaker 1>it's probably too much to say that had an effect

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<v Speaker 1>on him, because I don't think he really it doesn't

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<v Speaker 1>seem like he had any memory of that, you know,

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<v Speaker 1>so it's unlikely that that like that laid some deep

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<v Speaker 1>seated wound that is responsible for anything that Amazon has done. Right,

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<v Speaker 1>And this this guy, Miguel kind of took him under

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<v Speaker 1>his wing, right, Like, he seems to be quite instrumental

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<v Speaker 1>in you know, the way Bezos jeff Bezos so the

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<v Speaker 1>world growing up. Yeah, And I think that's why Jeffrey

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<v Speaker 1>kind of grows up as a a very very committed

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<v Speaker 1>capitalist um. Obviously, his dad is like an anti castro

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<v Speaker 1>activist as a kid um and then as an you know,

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<v Speaker 1>as an adult once he's graduated and out in the world.

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<v Speaker 1>Miguel works as a petroleum engineer for Exxon, So he

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<v Speaker 1>is like very much into kind of some of the

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<v Speaker 1>morally grayer or morally blacker aspects of of of of capitalism. Um. Like,

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<v Speaker 1>he's very on board with big business, and I think

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<v Speaker 1>his attitudes towards kind of capitalism versus socialism certainly have

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<v Speaker 1>an impact on young Jeffrey as he grows into an adult.

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<v Speaker 1>When did we see these things kind of manifest He

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<v Speaker 1>didn't go straight to Amazon. Right, he built this kind

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<v Speaker 1>of built you know, he built a good life for

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<v Speaker 1>himself already before that. Yeah. Yeah, so he's you know,

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<v Speaker 1>he goes to his family has number one. His his

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<v Speaker 1>maternal family is loaded, right, They've got he He spends

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<v Speaker 1>his summers as a kid on a twenty five thousand

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<v Speaker 1>acre ranch in Texas, which is, you know, land is

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<v Speaker 1>cheaper in Texas, but you're not poor if your family's

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<v Speaker 1>got twenty five thousand, twenty five. There are countries in

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<v Speaker 1>Europe smaller than this far um. But it also means

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<v Speaker 1>that Jeff like spends his childhood with his grandpa doing

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<v Speaker 1>a lot like practical engineering, you know, learning how to

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<v Speaker 1>like not just put up fences, but like build different

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<v Speaker 1>feeding things for livestock, doing a lot of handyman work,

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<v Speaker 1>repairing engines and stuff. So he grows up with this

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<v Speaker 1>like really um, like this really caught like a lot

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<v Speaker 1>of experience making things and and working hard and this

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<v Speaker 1>kind of like he's very molded both by his his

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<v Speaker 1>adopted father's um attitude towards free enterprise and by this

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<v Speaker 1>kind of very idyllic rural American chunk of his upbringing

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<v Speaker 1>where he's you know working on a farm and self

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<v Speaker 1>reliance and all this stuff. And of course it's self

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<v Speaker 1>reliance within the context of it's his grandpa's hobby farm.

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<v Speaker 1>You know, his grandpa does not have to make a

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<v Speaker 1>living with this farm. His grandfather was in the US

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<v Speaker 1>nuclear program for decades UM and then retired, and this

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<v Speaker 1>farm is kind of like his hobby as as a

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<v Speaker 1>retired man. So there's there's you get two sides of

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<v Speaker 1>it both, Like Jeff is kind of convinced, I've grown

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<v Speaker 1>up with this kind of traditional American rural self supporting,

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<v Speaker 1>like you tell take care of yourself, the government doesn't attitude.

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<v Speaker 1>But also the reason why there it's so much more

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<v Speaker 1>pleasant than a lot of people who grow up in

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<v Speaker 1>a rural agricultural setting is that they're rich. You know,

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<v Speaker 1>I grew up in a farming community, and it's it's

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<v Speaker 1>not most people do not have access to the resources

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<v Speaker 1>he had. But I'm not sure he's really aware of that.

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<v Speaker 1>I think he kind of sees himself as having assault

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<v Speaker 1>of the earth up bringing, even though that's really not

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<v Speaker 1>the case. Um. And he he benefits as well because

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<v Speaker 1>he's in he's farming in the summers and then during

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<v Speaker 1>the rest of the year, he's in Houston. Um, that's

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<v Speaker 1>where his family kind of winds up and he goes

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<v Speaker 1>to this very special He's in a public school, but

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<v Speaker 1>his school district has money for something. They call it

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<v Speaker 1>the Vanguard Program, and it's like this basically this super

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<v Speaker 1>special gifted and talented program where they're kind of experimenting

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<v Speaker 1>with with different ways of of taking care of of

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<v Speaker 1>of or or of teaching kids, and of course sort

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<v Speaker 1>of like molding the curriculum of the program to the

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<v Speaker 1>gifts of the children. And it it seems like a

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<v Speaker 1>good idea. It works really well for Jeff. And it's

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<v Speaker 1>it's you hear about stuff like this too with um

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<v Speaker 1>with with Bill Gates in particular, and I think Steve

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<v Speaker 1>Jobs kind of benefited from something similar when he was

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<v Speaker 1>a kid. Ditto um Wozniak. Where these are at the

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<v Speaker 1>very least upper middle class kids who benefit from a

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<v Speaker 1>specific kind of educational program that is not available to

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<v Speaker 1>most kids. So Jeff has very early access to computers. UM,

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<v Speaker 1>he's able to do what he wants in school rather

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<v Speaker 1>than kind of like do what the school wants him

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<v Speaker 1>to learn. The school is kind of go looking at Okay,

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<v Speaker 1>here's what Jeff's interested and here's the stuff that he's

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<v Speaker 1>he thinks is fascinating. Let's mold his um, his educational

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<v Speaker 1>program to it. UM. And he's a very competitive kid.

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<v Speaker 1>There's a writer who's sort of evaluating the school program

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<v Speaker 1>when he's like twelve or so. UM and you know,

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<v Speaker 1>decades later, she still had her notes on him because

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<v Speaker 1>he really struck her as UM, very intelligent, very competitive.

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<v Speaker 1>He was working on a science project at the time

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<v Speaker 1>called an infinity cube, which was this battery powered thing

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<v Speaker 1>with rotating mirrors that made the optical illusion of an

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<v Speaker 1>endless tunnel. And it was a thing he'd seen in

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<v Speaker 1>a store but was expensive, so he like made a

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<v Speaker 1>version of it for himself for cheaper. UM. He was

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<v Speaker 1>entering a bunch of local science competitions and winning them.

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<v Speaker 1>He's he's a very very like bright kid. Everyone kind

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<v Speaker 1>of pegs this, this kid out as special and they

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<v Speaker 1>just this whole community because again this is a public

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<v Speaker 1>school program. This whole community in Houston pours resources into

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<v Speaker 1>Jeff when he's a little kid. UM and he graduates, Uh,

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<v Speaker 1>he and his you know, I think when he's in

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<v Speaker 1>Florida by the time he graduates. Um, but he uh,

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<v Speaker 1>he starts this kind of like after school program the

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<v Speaker 1>summer after he graduates with another kid where they're like

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<v Speaker 1>teaching younger kids science stuff, doing like star gazing and

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<v Speaker 1>whatnot with them. Um. He has a really early interest

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<v Speaker 1>in space travel. Uh. He's his favorite show is Star Trek.

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<v Speaker 1>As a kid, he's got kind of some of these

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<v Speaker 1>utopian dreams and it's weird because there's this mix of

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<v Speaker 1>like these sort of utopian and Star Trek is coming

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<v Speaker 1>at utopia from a very left wing sort of perspective. Um,

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<v Speaker 1>and he's fascinated by that. But all of his heroes

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<v Speaker 1>are these businessmen Walt Disney and Thomas Edison, these guys

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<v Speaker 1>who are um, real like capitalist he os. And he

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<v Speaker 1>actually he prefers Disney to Edison, um because he thinks

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<v Speaker 1>Disney was better at building a team and working together,

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<v Speaker 1>like making them work together in a concerted direction. And

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<v Speaker 1>it makes sense that Disney is kind of the person

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<v Speaker 1>he idolizes, right, because Amazon is definitely has that sort

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<v Speaker 1>of thing that Disney has where they're pulling everything in

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<v Speaker 1>the world to them and making this kind of capitalist

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<v Speaker 1>katamari that that just owns everything in a space, right, Yeah, yeah,

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<v Speaker 1>so he's come from he comes from a very privileged background.

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<v Speaker 1>He acts like the way he talks, I agree with you.

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<v Speaker 1>It's as if I don't even think he's kind of

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<v Speaker 1>trying to present a fight narrative. He just thinks because

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<v Speaker 1>he was on a farm that he's from some like, oh,

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<v Speaker 1>I'm the salt of the earth, I'm from the dirt. Like, no,

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<v Speaker 1>you're from the dirt on like a twenty five thousand

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<v Speaker 1>acre farm. That's very different. You know, if he didn't

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<v Speaker 1>want to, if his granddad decided he was sick of

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<v Speaker 1>that farm, it's not like they would have starved, right, Yeah,

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<v Speaker 1>they could have. They could have stopped all of the

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<v Speaker 1>farming and kept living comfortably in the ranch house and

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<v Speaker 1>would have would have been And I think it's easy

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<v Speaker 1>when you're in the kind of position he was as

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<v Speaker 1>a kid to note that, like, well, we worked hard.

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<v Speaker 1>You know, I was up at dawn every day, we

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<v Speaker 1>didn't stop working until night. We did a bunch of

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<v Speaker 1>really physically and mentally difficult tasks. So that means like

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<v Speaker 1>I had kind of this working class experience and upbringing,

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<v Speaker 1>and the reality is that you're not. You don't really

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<v Speaker 1>know any of that, you're not really having the authentic

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<v Speaker 1>experience if there's not the fear of failure. I think

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<v Speaker 1>it's it's easy because he's working hard as a kid

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<v Speaker 1>for him to forget that. He also has a safety

0:12:34.640 --> 0:12:37.600
<v Speaker 1>net that about like half a percent of kids in

0:12:37.640 --> 0:12:40.520
<v Speaker 1>America maybe benefit from, you know. So so he goes

0:12:40.600 --> 0:12:42.680
<v Speaker 1>on then too, he doesn't exactly end up working in

0:12:42.679 --> 0:12:44.760
<v Speaker 1>the farming industry or anything like that, right, he kind

0:12:44.760 --> 0:12:48.560
<v Speaker 1>of follows his dreams of these kind of like capitalist heroes. Yeah,

0:12:48.559 --> 0:12:50.480
<v Speaker 1>he follows his dreams. He does start like a little

0:12:50.559 --> 0:12:53.280
<v Speaker 1>kind of educational business that does seem like a decent

0:12:53.360 --> 0:12:56.400
<v Speaker 1>thing to do. Um, and then he goes off to college.

0:12:56.640 --> 0:12:59.600
<v Speaker 1>He goes to Princeton. He seemed most of the people

0:12:59.640 --> 0:13:01.800
<v Speaker 1>he went to journalists have found other folks who were

0:13:01.840 --> 0:13:04.520
<v Speaker 1>in his class. He made really no impression on on

0:13:04.600 --> 0:13:08.280
<v Speaker 1>most people. He's very much like kind of a forgettable dude.

0:13:08.600 --> 0:13:11.000
<v Speaker 1>And in fact, one of the classmates who like sets

0:13:11.080 --> 0:13:13.200
<v Speaker 1>him up with a job after college, so you would

0:13:13.200 --> 0:13:16.560
<v Speaker 1>think this guy knew him well. Like when the interviewed

0:13:16.640 --> 0:13:18.559
<v Speaker 1>later after Jeff is rich and famous, it's like, yeah,

0:13:18.600 --> 0:13:20.720
<v Speaker 1>I don't remember anything but that he was smart, like

0:13:20.760 --> 0:13:23.520
<v Speaker 1>he does. He doesn't really Um, he doesn't really leave

0:13:23.600 --> 0:13:26.400
<v Speaker 1>much of an impact like bright, but not a dude

0:13:26.400 --> 0:13:29.959
<v Speaker 1>whose personality like you remember. Um and there's some weird

0:13:30.360 --> 0:13:33.920
<v Speaker 1>he doesn't like music. Um and it doesn't appear to

0:13:33.960 --> 0:13:35.320
<v Speaker 1>be a thing where like some people have like an

0:13:35.360 --> 0:13:39.079
<v Speaker 1>auditory processing issue right where it's uncomfortable, like for whatever reason,

0:13:39.200 --> 0:13:42.079
<v Speaker 1>music just like it doesn't feel good in their ears.

0:13:42.120 --> 0:13:44.120
<v Speaker 1>I don't think it's that because they'll play music for

0:13:44.160 --> 0:13:46.480
<v Speaker 1>other people and stuff. So with that in mind, let's

0:13:46.559 --> 0:13:48.959
<v Speaker 1>take a look at a tweet Jeff Bezos put out

0:13:49.120 --> 0:13:53.560
<v Speaker 1>on February three, twenty next to a picture of the

0:13:53.640 --> 0:13:58.280
<v Speaker 1>singer Lizzo, Bezos wrote quote, I just took a DNA tist.

0:13:58.679 --> 0:14:03.959
<v Speaker 1>Turns out I'm one hun present Lizzo's biggest fan. End quote. Now,

0:14:03.960 --> 0:14:07.400
<v Speaker 1>obviously that's very cringe to say. But also this is

0:14:07.440 --> 0:14:11.560
<v Speaker 1>from a guy that apparently doesn't like music. He's either lying,

0:14:11.840 --> 0:14:15.840
<v Speaker 1>disingenuous or he does actually like music. Who knows which

0:14:15.880 --> 0:14:17.560
<v Speaker 1>one it is? Just doesn't get it, you know, he

0:14:17.640 --> 0:14:20.720
<v Speaker 1>just doesn't understand why people like music, which is which

0:14:20.760 --> 0:14:22.880
<v Speaker 1>is interesting that some folks will claim that this is

0:14:22.960 --> 0:14:26.480
<v Speaker 1>why Apple beats Amazon to the digital music game, right,

0:14:26.520 --> 0:14:29.600
<v Speaker 1>and and then Spotify later. Like Amazon is for all

0:14:29.600 --> 0:14:31.680
<v Speaker 1>the things, they're ahead of the curvan, kind of always

0:14:31.720 --> 0:14:35.360
<v Speaker 1>behind on digital music, um, which there's a weird you know,

0:14:35.400 --> 0:14:38.000
<v Speaker 1>the stuff with Joe Rogan and Neil Young and the

0:14:38.040 --> 0:14:41.280
<v Speaker 1>fight over Spotify. There's kind of a weird parallel there

0:14:41.280 --> 0:14:45.560
<v Speaker 1>because Neil Young when he deletes his catalog from Spotify,

0:14:45.680 --> 0:14:47.680
<v Speaker 1>I'm sure he has an issue with Joe Rogan, but

0:14:47.720 --> 0:14:49.480
<v Speaker 1>a big part of what Young is doing is he's

0:14:49.600 --> 0:14:51.880
<v Speaker 1>he's got a deal with Amazon Music, right, and so

0:14:51.920 --> 0:14:56.280
<v Speaker 1>he's plugging Amazon Music too, you know. Convenient. They're all millionaires, right,

0:14:56.400 --> 0:14:58.640
<v Speaker 1>Like you shouldn't expect any of them to be your hero.

0:14:59.160 --> 0:15:01.720
<v Speaker 1>But yeah, so people will say that like that is

0:15:01.760 --> 0:15:05.200
<v Speaker 1>kind of why Amazon is consistently behind the curve when

0:15:05.240 --> 0:15:07.880
<v Speaker 1>it comes to digital music, which is which is noteworthy

0:15:07.960 --> 0:15:10.400
<v Speaker 1>just because there one thing you have to give Amazon

0:15:10.440 --> 0:15:13.000
<v Speaker 1>credit on there, the head of the curve on most things,

0:15:13.080 --> 0:15:16.720
<v Speaker 1>you know, um, but Bezos just doesn't get that, and

0:15:16.760 --> 0:15:21.240
<v Speaker 1>so they're kind of consistently behind. Um And yeah, he uh.

0:15:21.320 --> 0:15:24.800
<v Speaker 1>He eventually winds up working in a company called Fittel,

0:15:24.840 --> 0:15:28.480
<v Speaker 1>which is like a finance a tech finance company. This

0:15:28.560 --> 0:15:30.720
<v Speaker 1>is in the mid eighties. I think eight four eight

0:15:30.920 --> 0:15:34.000
<v Speaker 1>five is when he gets his first big boy job. Um.

0:15:34.080 --> 0:15:37.960
<v Speaker 1>And so that's this period where computers are starting to

0:15:38.120 --> 0:15:41.640
<v Speaker 1>become standard in investment banks and brokerages, but they're still

0:15:41.680 --> 0:15:44.520
<v Speaker 1>not the norm. Right there there that that process begins,

0:15:45.040 --> 0:15:48.440
<v Speaker 1>the more forward thinking investment banks and brokerages are putting

0:15:48.440 --> 0:15:50.760
<v Speaker 1>computers in, right, but a lot of this is still

0:15:50.800 --> 0:15:53.200
<v Speaker 1>done by analog you know, today all trading is kind

0:15:53.240 --> 0:15:55.640
<v Speaker 1>of done by these machines, and there's some human input,

0:15:55.760 --> 0:15:58.160
<v Speaker 1>but like a lot of it is these computers kind

0:15:58.160 --> 0:16:01.520
<v Speaker 1>of gambling with each other. This is the V's He's

0:16:01.560 --> 0:16:03.840
<v Speaker 1>in on the ground floor of that process, and he

0:16:03.960 --> 0:16:07.080
<v Speaker 1>is working with a company that basically gets hired by

0:16:07.160 --> 0:16:10.360
<v Speaker 1>these big banks and brokerages to help them set up

0:16:10.560 --> 0:16:14.120
<v Speaker 1>these networked computer banks that are initially just kind of

0:16:14.160 --> 0:16:17.240
<v Speaker 1>augmenting human decision making, but will eventually take it over

0:16:17.520 --> 0:16:20.000
<v Speaker 1>to a very large extent in finance. You know, that's

0:16:20.000 --> 0:16:23.240
<v Speaker 1>how things work now. And he is he's he's UM.

0:16:23.280 --> 0:16:25.480
<v Speaker 1>I don't think he's necessarily a huge part because he's

0:16:25.520 --> 0:16:28.360
<v Speaker 1>not a visionary part of this, right He's working for

0:16:28.440 --> 0:16:30.400
<v Speaker 1>the visionaries who see where the future is going to

0:16:30.520 --> 0:16:32.720
<v Speaker 1>be here, but he is also as a code or

0:16:32.760 --> 0:16:35.720
<v Speaker 1>helping to build this, so he's definitely like it's a

0:16:35.720 --> 0:16:39.520
<v Speaker 1>good internship for him in terms of he's experiencing work

0:16:39.560 --> 0:16:41.920
<v Speaker 1>with these people who have seen the future and and

0:16:42.000 --> 0:16:44.360
<v Speaker 1>helping to kind of make it with people. And he

0:16:44.360 --> 0:16:47.400
<v Speaker 1>he bounces around a few of these early fintech companies

0:16:47.840 --> 0:16:51.640
<v Speaker 1>until in nineteen eighty nine, Um, he starts having a

0:16:51.680 --> 0:16:55.120
<v Speaker 1>conversation with a colleague about like, Hey, you know, we're

0:16:55.240 --> 0:16:58.320
<v Speaker 1>we're setting up these computer networks, um that are that

0:16:58.360 --> 0:17:01.800
<v Speaker 1>are connecting like brokerage and allowing them to basically gamble

0:17:01.880 --> 0:17:04.600
<v Speaker 1>a lot faster. Uh, what if we were to set

0:17:04.680 --> 0:17:08.639
<v Speaker 1>up like a a networked computer intranet thing that anyone

0:17:08.680 --> 0:17:10.960
<v Speaker 1>could use to like connect to news stories which will

0:17:11.000 --> 0:17:15.800
<v Speaker 1>be curated algorithmically based on a person's interest. Um, and

0:17:15.800 --> 0:17:18.120
<v Speaker 1>they almost get investments in the idea you know you'll

0:17:18.280 --> 0:17:21.639
<v Speaker 1>do this is basically like how Facebook and Twitter work, right, Um,

0:17:21.680 --> 0:17:24.320
<v Speaker 1>it's a version of that. It doesn't quite happen, but

0:17:24.359 --> 0:17:26.680
<v Speaker 1>the fact that Bezos is sort of thinking about this

0:17:27.080 --> 0:17:31.399
<v Speaker 1>in nineteen nine shows that he does have a really

0:17:31.880 --> 0:17:35.679
<v Speaker 1>pretty deep understanding of where networked computing is going to

0:17:35.720 --> 0:17:39.160
<v Speaker 1>go right, Like he's not just following the trend. He's predicted, Oh,

0:17:39.200 --> 0:17:41.000
<v Speaker 1>this is gonna be a big deal. Um, And he's

0:17:41.080 --> 0:17:43.600
<v Speaker 1>very much ahead of the eight ball on that um.

0:17:43.640 --> 0:17:47.199
<v Speaker 1>I think in the late eight like early nineties, he

0:17:47.240 --> 0:17:50.920
<v Speaker 1>gets a job with an investment with an investment firm

0:17:51.000 --> 0:17:54.320
<v Speaker 1>that manages a hedge fund called d E. Shaw Um,

0:17:54.400 --> 0:17:57.560
<v Speaker 1>which is this as firms go, it's one of these

0:17:57.560 --> 0:17:59.480
<v Speaker 1>ones that's really ahead of the curve. They're doing a

0:17:59.480 --> 0:18:01.720
<v Speaker 1>lot of comput uter stuff. The guy who runs it

0:18:01.800 --> 0:18:04.520
<v Speaker 1>is hiring a lot of programmers, and Bezos is a

0:18:04.600 --> 0:18:09.440
<v Speaker 1>fucking superstar there, you know, um, his colleagues and he's

0:18:09.480 --> 0:18:13.280
<v Speaker 1>both a superstar, but he also he's clearly already thinking

0:18:13.320 --> 0:18:15.960
<v Speaker 1>about his legend. Right. People who work with him will

0:18:16.000 --> 0:18:18.199
<v Speaker 1>note that he would like keep a sleeping bag in

0:18:18.280 --> 0:18:21.280
<v Speaker 1>his office so that he could work overnight if he

0:18:21.320 --> 0:18:23.879
<v Speaker 1>needed to. But the main purpose of the sleeping bag

0:18:24.040 --> 0:18:26.200
<v Speaker 1>was not for him to actually sleep at work, because

0:18:26.240 --> 0:18:28.119
<v Speaker 1>he didn't do that often. He just kept it in

0:18:28.240 --> 0:18:32.160
<v Speaker 1>view so his employees would see it and like would think, oh, Jeff,

0:18:32.359 --> 0:18:34.040
<v Speaker 1>you know, we need I need to work like that,

0:18:34.080 --> 0:18:37.440
<v Speaker 1>because Jeff is like crashing at work sometimes he's using

0:18:37.440 --> 0:18:39.199
<v Speaker 1>it as a prop right, just when through it for

0:18:39.200 --> 0:18:41.879
<v Speaker 1>a second. I think this point that Robot is explaining

0:18:42.040 --> 0:18:45.120
<v Speaker 1>is very interesting if you look at how Amazon went

0:18:45.280 --> 0:18:48.720
<v Speaker 1>on after Bezos started it. He's always saying, hope, people

0:18:48.760 --> 0:18:51.320
<v Speaker 1>need to just work harder. But as we see here,

0:18:51.359 --> 0:18:53.919
<v Speaker 1>he allegedly used props to give the impression that he

0:18:54.000 --> 0:18:56.480
<v Speaker 1>was the hardest worker buck in the day. Now the

0:18:56.520 --> 0:18:59.600
<v Speaker 1>hardest workers are on the warehouse floor and he's telling

0:18:59.640 --> 0:19:01.879
<v Speaker 1>them I need to work as hard as him. Perhaps

0:19:01.880 --> 0:19:04.800
<v Speaker 1>he's still using props now. He's very much bought into

0:19:04.880 --> 0:19:07.359
<v Speaker 1>the kind of myths we say about like how you

0:19:07.400 --> 0:19:09.240
<v Speaker 1>ought to work and kind of you know, this is

0:19:09.240 --> 0:19:12.199
<v Speaker 1>how you get ahead is by being uh, you know,

0:19:12.240 --> 0:19:15.280
<v Speaker 1>the busiest, and by you know, sleeping at your desk

0:19:15.359 --> 0:19:17.760
<v Speaker 1>and and and basically living at the office. This kind

0:19:17.800 --> 0:19:20.159
<v Speaker 1>of stuff that that is huge in the tech industry, right.

0:19:20.160 --> 0:19:24.000
<v Speaker 1>This is why Google has sleeping rooms and massages on site,

0:19:24.040 --> 0:19:26.320
<v Speaker 1>and like they try to keep people at the office

0:19:26.320 --> 0:19:29.760
<v Speaker 1>as often as possible. Um, you know this is this

0:19:29.840 --> 0:19:33.879
<v Speaker 1>is just kind of uh, he's he wants to I

0:19:34.240 --> 0:19:38.720
<v Speaker 1>think he he understands that mythologizing as an important part

0:19:38.720 --> 0:19:41.040
<v Speaker 1>of being a founder and I think even though he's

0:19:41.080 --> 0:19:43.120
<v Speaker 1>not a founder at this point, he wants to found

0:19:43.440 --> 0:19:46.280
<v Speaker 1>a a big tech company. You know that that is

0:19:46.320 --> 0:19:49.560
<v Speaker 1>beginning to be his ambition. Um, but he's working at

0:19:49.600 --> 0:19:52.560
<v Speaker 1>D E. Shaw, He's doing great. He meets a woman

0:19:52.640 --> 0:19:55.600
<v Speaker 1>named mckenzy Tuttle while working at the Hedge Fund. She

0:19:55.720 --> 0:19:59.280
<v Speaker 1>graduated from Princeton to She actually studied with Tony Morrison

0:19:59.600 --> 0:20:01.639
<v Speaker 1>when she at an English degree, which is a is

0:20:01.680 --> 0:20:04.080
<v Speaker 1>weird that there's a connection between Tony Morrison and Jeff

0:20:04.119 --> 0:20:07.600
<v Speaker 1>Bezos that close, But there you go. Um, she's a

0:20:07.640 --> 0:20:10.040
<v Speaker 1>novelist and she's kind of working as a secretary in

0:20:10.080 --> 0:20:13.480
<v Speaker 1>this tech company and she winds up with a big

0:20:13.480 --> 0:20:15.320
<v Speaker 1>crush on Jeff. And it is one of those things

0:20:15.520 --> 0:20:17.880
<v Speaker 1>like we talked about Bill Gates. Bill Gates has gotten

0:20:17.880 --> 0:20:20.439
<v Speaker 1>in some trouble recently because he had a history of

0:20:20.480 --> 0:20:25.400
<v Speaker 1>creepily hitting on women who were his employees at Microsoft Conn. Yeah,

0:20:25.400 --> 0:20:27.040
<v Speaker 1>and some kind of connections to Epstein. We could go

0:20:27.040 --> 0:20:30.080
<v Speaker 1>out for a while about about that. Um, it does

0:20:30.080 --> 0:20:32.560
<v Speaker 1>not appear to be that kind of case with Bezos. McKenzie,

0:20:32.560 --> 0:20:34.680
<v Speaker 1>even though she's divorced him now, is adamant that like

0:20:34.760 --> 0:20:37.440
<v Speaker 1>she was the one who started hitting on him. Um.

0:20:37.520 --> 0:20:39.760
<v Speaker 1>She was the one who kind of pushed him to

0:20:39.840 --> 0:20:41.719
<v Speaker 1>go out with her and fell in love with him.

0:20:41.720 --> 0:20:44.240
<v Speaker 1>And it does seem they stayed together a long time

0:20:44.320 --> 0:20:46.960
<v Speaker 1>you know. Um, you know they've split up now, but

0:20:46.960 --> 0:20:50.600
<v Speaker 1>they were together like twenty years or so. Um. And

0:20:50.640 --> 0:20:52.640
<v Speaker 1>she was a big part of the creation of Amazon.

0:20:52.800 --> 0:20:56.240
<v Speaker 1>So whatever else, it does seem like, uh, he is

0:20:56.280 --> 0:20:58.920
<v Speaker 1>a human being who was capable of connecting with another person,

0:20:59.000 --> 0:21:03.520
<v Speaker 1>which I guess there you go. Um. Yeah, So they

0:21:04.600 --> 0:21:07.600
<v Speaker 1>she gets together with mckensey while he's working at D. E.

0:21:07.720 --> 0:21:10.840
<v Speaker 1>Shaw and he starts to this is the you know,

0:21:10.880 --> 0:21:13.119
<v Speaker 1>he's making really good money at this he's not like

0:21:13.160 --> 0:21:16.800
<v Speaker 1>a millionaire, but he's extremely comfortable. But he starts to

0:21:16.880 --> 0:21:19.399
<v Speaker 1>kind of chafe. Not because he likes his boss. He

0:21:19.480 --> 0:21:21.919
<v Speaker 1>likes what they're doing, but it's not his business. And

0:21:21.960 --> 0:21:25.320
<v Speaker 1>he's already had this idea that he really wants to

0:21:25.320 --> 0:21:27.679
<v Speaker 1>to to create one that he's he's kind of started

0:21:27.720 --> 0:21:30.119
<v Speaker 1>forming while talking with his boss at d Shaw. He

0:21:30.160 --> 0:21:33.760
<v Speaker 1>wanted to build something he called the Everything Store. Um.

0:21:33.840 --> 0:21:36.159
<v Speaker 1>So this is the early nineties, you know, this is

0:21:36.240 --> 0:21:38.280
<v Speaker 1>kind of right around the period a little before the

0:21:38.280 --> 0:21:41.600
<v Speaker 1>period that we hit eternal September, you know, where everybody

0:21:41.680 --> 0:21:45.480
<v Speaker 1>is online. This is like immediately before that happens. But

0:21:45.640 --> 0:21:49.000
<v Speaker 1>Jeff sees the potential of the Internet and recognizes that

0:21:49.040 --> 0:21:51.480
<v Speaker 1>a huge amount of commerce is going to take part

0:21:51.520 --> 0:21:53.280
<v Speaker 1>in it, and that if you, because of what the

0:21:53.280 --> 0:21:56.040
<v Speaker 1>internet is, if you could build a store with the

0:21:56.119 --> 0:22:00.200
<v Speaker 1>kind of distribution center necessary, you could sell every thing

0:22:00.359 --> 0:22:03.040
<v Speaker 1>to anyone, you know, as opposed to having to kind

0:22:03.040 --> 0:22:06.800
<v Speaker 1>of uh locally curate your your inventory and deal with

0:22:06.840 --> 0:22:08.359
<v Speaker 1>all of that. Like, you could have a store that

0:22:08.400 --> 0:22:12.280
<v Speaker 1>could sell everything cheaper than basically anyone else, um, and

0:22:12.359 --> 0:22:16.160
<v Speaker 1>undercut all these retail change chains, um. And he has

0:22:16.200 --> 0:22:17.840
<v Speaker 1>one of the the idea he has about this that's

0:22:17.840 --> 0:22:20.639
<v Speaker 1>particularly innovative. That's that's new at this point you have

0:22:20.680 --> 0:22:24.359
<v Speaker 1>to think, you know, we're talking four. He wants to

0:22:24.800 --> 0:22:27.600
<v Speaker 1>he wants the sales on the store to be heavily

0:22:27.680 --> 0:22:30.400
<v Speaker 1>driven by consumer reviews, you know. And you can see

0:22:30.400 --> 0:22:32.320
<v Speaker 1>this as kind of him branching off from this idea

0:22:32.400 --> 0:22:35.800
<v Speaker 1>he has for an algorithmically curated news service. He wants

0:22:35.920 --> 0:22:40.240
<v Speaker 1>people reviewing products to have an influence on how often

0:22:40.240 --> 0:22:42.520
<v Speaker 1>those products show up when other people go to the

0:22:42.560 --> 0:22:45.480
<v Speaker 1>site and he wants that to drive people to buy things,

0:22:45.520 --> 0:22:48.040
<v Speaker 1>like the reviews of customers, you know, and that is

0:22:48.080 --> 0:22:50.800
<v Speaker 1>again really new at this point because the internet, like

0:22:51.040 --> 0:22:52.960
<v Speaker 1>you have to think, if you're if you're shot, if

0:22:52.960 --> 0:22:54.560
<v Speaker 1>all of your shopping is like going to a mall

0:22:54.640 --> 0:22:57.479
<v Speaker 1>or a store, you're not buying things generally because like

0:22:57.560 --> 0:22:59.480
<v Speaker 1>of a review. You know, if you get a review,

0:22:59.560 --> 0:23:02.639
<v Speaker 1>it's like someone whose job, who works at Wired or whatever,

0:23:02.680 --> 0:23:06.200
<v Speaker 1>whose job is to review products, as opposed to anyone

0:23:06.200 --> 0:23:08.040
<v Speaker 1>who buys a product being able to leave a review

0:23:08.080 --> 0:23:10.440
<v Speaker 1>online and you can see, oh, eight hundred people gave

0:23:10.440 --> 0:23:12.200
<v Speaker 1>this a five star rating, and you know that means

0:23:12.200 --> 0:23:16.720
<v Speaker 1>it's probably good. Um. That's the big idea that Jeff has. Uh.

0:23:16.720 --> 0:23:21.840
<v Speaker 1>And he grows obsessed with this idea of the everything store. Um.

0:23:21.880 --> 0:23:24.040
<v Speaker 1>He starts to feel like, in the mid nineties, it's

0:23:24.080 --> 0:23:27.120
<v Speaker 1>probably time to do this, So he quits his high

0:23:27.160 --> 0:23:30.399
<v Speaker 1>paying job, so does Mackenzie, and he and his wife

0:23:30.640 --> 0:23:33.800
<v Speaker 1>drive to California. Um because they initially right, you know,

0:23:33.840 --> 0:23:36.679
<v Speaker 1>that's where most people would would start a tech business

0:23:36.720 --> 0:23:39.639
<v Speaker 1>in both this period and now, But he decides taxes

0:23:39.720 --> 0:23:42.520
<v Speaker 1>are too high. Um. Because the thing about e commerce, right,

0:23:42.560 --> 0:23:44.840
<v Speaker 1>and this is the way it's it works, or at

0:23:44.880 --> 0:23:46.239
<v Speaker 1>least it worked for a while. I think there's been

0:23:46.280 --> 0:23:51.040
<v Speaker 1>some changes. But um consumers at the time where you

0:23:51.040 --> 0:23:54.879
<v Speaker 1>would only have to pay taxes on whatever the like,

0:23:54.960 --> 0:23:57.040
<v Speaker 1>the business would only have to pay taxes based on

0:23:57.119 --> 0:24:00.679
<v Speaker 1>like the state that it resided in, you know. UM.

0:24:00.920 --> 0:24:04.520
<v Speaker 1>And so he winds up taxes in California are too high,

0:24:04.560 --> 0:24:07.760
<v Speaker 1>doesn't make sense. He goes to Washington State because it

0:24:07.800 --> 0:24:11.680
<v Speaker 1>has good infrastructure, UM. But it has a tiny population.

0:24:11.840 --> 0:24:16.800
<v Speaker 1>So Washington does have sales tax. But um, because it's

0:24:16.800 --> 0:24:19.520
<v Speaker 1>not a populous state. It means every state other than

0:24:19.560 --> 0:24:21.399
<v Speaker 1>Washington that people buy from in this story he's going

0:24:21.480 --> 0:24:24.119
<v Speaker 1>to be creating don't have to pay sales tax. So

0:24:24.160 --> 0:24:25.880
<v Speaker 1>this is kind of his way of minimizing the number

0:24:25.920 --> 0:24:27.879
<v Speaker 1>of customers who might have to pay sales tax on

0:24:27.920 --> 0:24:32.000
<v Speaker 1>products for what's going to become Amazon. UM. And he

0:24:32.080 --> 0:24:34.920
<v Speaker 1>starts with the plan to sell books UM. Mainly because

0:24:35.359 --> 0:24:38.040
<v Speaker 1>all books come from one or two there's one or

0:24:38.080 --> 0:24:41.159
<v Speaker 1>two companies in the United States that distribute all of

0:24:41.200 --> 0:24:43.159
<v Speaker 1>the books everywhere. You know, they sell the books to

0:24:43.160 --> 0:24:45.520
<v Speaker 1>the stores. They're the ones who actually they're not producing

0:24:45.560 --> 0:24:47.280
<v Speaker 1>the books, but they're the ones who are like gathering

0:24:47.320 --> 0:24:49.639
<v Speaker 1>them and putting them in warehouses and shipping them out

0:24:49.640 --> 0:24:51.679
<v Speaker 1>to where they need to go. So he sees, like

0:24:52.520 --> 0:24:57.480
<v Speaker 1>the book industry already has pretty good infrastructure. It would

0:24:57.480 --> 0:24:59.639
<v Speaker 1>make it easy for me to order books anywhere in

0:24:59.680 --> 0:25:01.879
<v Speaker 1>the kind tree and get them shipped to anywhere in

0:25:01.920 --> 0:25:05.080
<v Speaker 1>the country. Um. So he starts. He decides that I'm

0:25:05.080 --> 0:25:07.280
<v Speaker 1>going to start by selling books online, all books, so

0:25:07.320 --> 0:25:09.199
<v Speaker 1>it's like a bookstore. And again, this is a really

0:25:09.280 --> 0:25:11.280
<v Speaker 1>new idea at the time. You don't have to like

0:25:11.720 --> 0:25:14.119
<v Speaker 1>go to the bookstore and see if you can find something,

0:25:14.200 --> 0:25:16.439
<v Speaker 1>or like have them special orders something. Everything is just

0:25:16.480 --> 0:25:19.560
<v Speaker 1>available all the time. Um. They wanted to call it

0:25:19.640 --> 0:25:22.960
<v Speaker 1>Cadabra at first, and then make it so dot com

0:25:23.000 --> 0:25:26.440
<v Speaker 1>because again he's a big star trek nerd um. But

0:25:26.680 --> 0:25:29.639
<v Speaker 1>their friends thankfully talk them out of most of these things.

0:25:29.880 --> 0:25:32.880
<v Speaker 1>They go through a bunch of different names, um and

0:25:33.800 --> 0:25:36.800
<v Speaker 1>relentless dot Com I think is Jeff's favorite. You can

0:25:36.800 --> 0:25:38.879
<v Speaker 1>actually still go to relentless dot com today if you

0:25:38.880 --> 0:25:42.359
<v Speaker 1>type it in, it will take you to Amazon. Um.

0:25:42.400 --> 0:25:45.520
<v Speaker 1>But yeah, so they they they start this business. They

0:25:45.520 --> 0:25:48.920
<v Speaker 1>eventually land upon Amazon as a name, and it's worth

0:25:48.960 --> 0:25:53.159
<v Speaker 1>noting that like when this business uh, when when he

0:25:53.200 --> 0:25:55.760
<v Speaker 1>starts this company he puts ten grand of his own

0:25:55.800 --> 0:25:57.880
<v Speaker 1>money in it, which is a significant amount of money

0:25:57.920 --> 0:26:02.280
<v Speaker 1>in like uh, but it's also primarily funded by eighty

0:26:02.320 --> 0:26:05.840
<v Speaker 1>four thousand dollars in interest free loans UM, some of

0:26:05.840 --> 0:26:08.440
<v Speaker 1>them from his first employees who are people he met

0:26:08.480 --> 0:26:11.760
<v Speaker 1>in the financial tech industry UH, and pour money into

0:26:11.760 --> 0:26:14.800
<v Speaker 1>it UM and a lot of it comes from his parents,

0:26:15.080 --> 0:26:17.960
<v Speaker 1>and in fact, they eventually invest a hundred thousand dollars

0:26:17.960 --> 0:26:21.480
<v Speaker 1>of it in UM of their own money. So it

0:26:21.600 --> 0:26:23.880
<v Speaker 1>is this thing. It's the same deal with Elon Musk

0:26:23.960 --> 0:26:29.359
<v Speaker 1>really um where he gets his business. First business gets

0:26:29.359 --> 0:26:32.359
<v Speaker 1>started because of money that his dad UM, and his

0:26:32.440 --> 0:26:35.400
<v Speaker 1>mom and dad pump into the business. So remember, kids,

0:26:35.400 --> 0:26:37.480
<v Speaker 1>the moral of the story here is if you want

0:26:37.480 --> 0:26:40.600
<v Speaker 1>to make it big in business, all we have to

0:26:40.640 --> 0:26:50.879
<v Speaker 1>do is have rich parents. That's it. Jeff tells them

0:26:50.920 --> 0:26:53.480
<v Speaker 1>there's a seventy chance they're going to lose it all. Uh.

0:26:53.520 --> 0:26:55.880
<v Speaker 1>The fact that they're willing to invest that in him

0:26:55.880 --> 0:26:59.199
<v Speaker 1>says a lot both about their level of financial um

0:26:59.400 --> 0:27:02.200
<v Speaker 1>privilege and about you know, just they believe in their sons.

0:27:02.240 --> 0:27:04.959
<v Speaker 1>So it's this mix of like, well, that's very sweet.

0:27:05.080 --> 0:27:07.960
<v Speaker 1>But it's also this continuing story where it's like, yeah,

0:27:08.000 --> 0:27:10.040
<v Speaker 1>part of why Jeff Bezos is so successful is he

0:27:10.119 --> 0:27:12.399
<v Speaker 1>got every lucky break a motherfucker can get. You know.

0:27:13.040 --> 0:27:17.040
<v Speaker 1>It's this this consistent story with these these big tech

0:27:17.200 --> 0:27:21.919
<v Speaker 1>founders where they all have part that they all have

0:27:22.119 --> 0:27:25.359
<v Speaker 1>the best fucking luck they could possibly have had, you know,

0:27:26.040 --> 0:27:31.600
<v Speaker 1>jobs Gates musk Uh. It's it's a very consistent story

0:27:31.600 --> 0:27:34.680
<v Speaker 1>where it's like, yeah, you were rich, you had all

0:27:34.720 --> 0:27:38.680
<v Speaker 1>of the educational resources, you had, all of the backing

0:27:38.760 --> 0:27:42.600
<v Speaker 1>of your family, you had, um, you know, everything about

0:27:42.680 --> 0:27:45.680
<v Speaker 1>your life up to this point was geared at clearing

0:27:45.680 --> 0:27:48.520
<v Speaker 1>a path to you and making it easy. And again,

0:27:48.600 --> 0:27:50.760
<v Speaker 1>I think it's easy for them to miss that. I

0:27:50.760 --> 0:27:52.480
<v Speaker 1>think it's easy for a guy like Bezos to miss

0:27:52.520 --> 0:27:56.120
<v Speaker 1>that because you're still working hard. You know, um, you're

0:27:56.160 --> 0:27:58.920
<v Speaker 1>still putting in a lot of hours. But motherfucker, there's

0:27:58.920 --> 0:28:00.600
<v Speaker 1>a lot of people who work just is hard and

0:28:00.640 --> 0:28:02.800
<v Speaker 1>don't have parents who can throw a hundred thousand dollars

0:28:02.840 --> 0:28:06.320
<v Speaker 1>that their business idea. You know. So Amazon, there's a

0:28:06.320 --> 0:28:08.920
<v Speaker 1>couple of sneaky things that they start to do early on.

0:28:08.920 --> 0:28:11.200
<v Speaker 1>One of them is that this this this. These book

0:28:11.240 --> 0:28:13.640
<v Speaker 1>distributors have a rule where you have to order ten

0:28:13.760 --> 0:28:15.399
<v Speaker 1>copies of a book at a time for them to

0:28:15.400 --> 0:28:18.080
<v Speaker 1>ship it to you. You know, because they're selling two bookstores,

0:28:18.080 --> 0:28:21.680
<v Speaker 1>they're not selling to individuals. Amazon is not that big

0:28:21.720 --> 0:28:23.280
<v Speaker 1>at this point, so it's it would be a huge

0:28:23.280 --> 0:28:26.400
<v Speaker 1>waste of money for them to order ten copies of

0:28:26.400 --> 0:28:29.480
<v Speaker 1>of a single book UM or ten copies of books.

0:28:29.480 --> 0:28:31.080
<v Speaker 1>You have to order tin books at a time basically,

0:28:31.119 --> 0:28:33.920
<v Speaker 1>and they don't have enough volume initially. So what they

0:28:33.960 --> 0:28:35.960
<v Speaker 1>do is they'll order like the books that they have

0:28:36.119 --> 0:28:38.640
<v Speaker 1>orders for from their customers, and then they'll fill out

0:28:38.680 --> 0:28:40.440
<v Speaker 1>the rest of the tin with copies of books they

0:28:40.440 --> 0:28:43.000
<v Speaker 1>know are out of print, and those out of stock

0:28:43.120 --> 0:28:45.360
<v Speaker 1>orders get auto canceled, but the company will ship the

0:28:45.400 --> 0:28:48.239
<v Speaker 1>two or three orders that aren't out of stock UH

0:28:48.480 --> 0:28:51.800
<v Speaker 1>to Amazon anyway, and that saves Amazon a lot of

0:28:51.880 --> 0:28:54.160
<v Speaker 1>money kind of at the expense of these distributors that

0:28:54.200 --> 0:28:58.040
<v Speaker 1>they're working with. Um. They get another hundred and forty

0:28:58.080 --> 0:29:00.400
<v Speaker 1>five thousand dollars from his parents a year or so later,

0:29:00.520 --> 0:29:03.680
<v Speaker 1>because you know, it's an early company, it's it's burning

0:29:03.680 --> 0:29:08.000
<v Speaker 1>money very quickly. It loses three thousand dollars and ninety five. UM.

0:29:08.040 --> 0:29:11.680
<v Speaker 1>But you know, he Jeff does kind of say, hey,

0:29:11.720 --> 0:29:13.760
<v Speaker 1>this there's a good chance this will fail. Mom and dad.

0:29:13.840 --> 0:29:15.360
<v Speaker 1>Now you've put a quarter of a million bucks in.

0:29:15.720 --> 0:29:18.560
<v Speaker 1>But he also starts to investors projecting net sales of

0:29:18.600 --> 0:29:21.680
<v Speaker 1>seventy four million dollars by the year two thousand, um.

0:29:21.840 --> 0:29:25.080
<v Speaker 1>And he is way off because his actual net sales

0:29:25.120 --> 0:29:29.160
<v Speaker 1>by two thousand or one point six four billion. UM. Yeah,

0:29:29.200 --> 0:29:32.880
<v Speaker 1>Amazon grows really fucking quickly. Uh. There's all these sort

0:29:32.880 --> 0:29:35.840
<v Speaker 1>of attitudes from the early days. You know, every big

0:29:35.880 --> 0:29:40.640
<v Speaker 1>tech company kind of mythologizes it's early days. Um. Amazon's

0:29:40.720 --> 0:29:44.440
<v Speaker 1>first company motto is get big fast. UM. They have

0:29:44.440 --> 0:29:46.600
<v Speaker 1>an I p O in nine seven. They have this

0:29:46.720 --> 0:29:51.120
<v Speaker 1>legal fight with um um, with Barnes and Noble. And

0:29:51.280 --> 0:29:53.320
<v Speaker 1>while they're kind of doing this in these in these

0:29:53.360 --> 0:29:56.800
<v Speaker 1>early days, Jeff's writing his first letter to shareholders, you know,

0:29:56.840 --> 0:29:58.520
<v Speaker 1>because they have their I p O in nineties seven.

0:29:58.840 --> 0:30:00.640
<v Speaker 1>And one of the things he writes in this letter is,

0:30:00.640 --> 0:30:02.600
<v Speaker 1>this is day one for the Internet and if we

0:30:02.680 --> 0:30:06.160
<v Speaker 1>execute it well for Amazon dot com. And day one

0:30:06.480 --> 0:30:09.960
<v Speaker 1>is like a religious thing in Amazon. UM. Day one

0:30:10.080 --> 0:30:12.960
<v Speaker 1>thinking is they is the way they kind of talk

0:30:13.040 --> 0:30:15.040
<v Speaker 1>about it like you need to be thinking like it

0:30:15.200 --> 0:30:17.600
<v Speaker 1>is day one, you know, for the for the future,

0:30:17.640 --> 0:30:19.440
<v Speaker 1>for the Internet, for whatever it is you're working on.

0:30:19.760 --> 0:30:22.600
<v Speaker 1>You have to have this this um acceptance of kind

0:30:22.600 --> 0:30:25.760
<v Speaker 1>of infinite possibility. That's the attitude that he tries to

0:30:25.760 --> 0:30:31.200
<v Speaker 1>inculcate within his employees. UM. People work very very hard

0:30:31.600 --> 0:30:34.800
<v Speaker 1>at Amazon. They do not have initially, like they have

0:30:34.920 --> 0:30:37.080
<v Speaker 1>just a couple of warehouses at first, for like the

0:30:37.120 --> 0:30:40.760
<v Speaker 1>first big Christmas rushes they have UM. And he forces

0:30:40.800 --> 0:30:43.760
<v Speaker 1>his employees during one of these Christmas is to leave

0:30:43.840 --> 0:30:46.800
<v Speaker 1>their homes and families for two weeks and spend time

0:30:46.840 --> 0:30:50.320
<v Speaker 1>either working customer service lines or working in warehouses to

0:30:50.360 --> 0:30:53.400
<v Speaker 1>distribute books. UM. He keeps his workers to to a

0:30:53.480 --> 0:30:57.120
<v Speaker 1>hotel room. UM. And it's this you know, it's an

0:30:57.120 --> 0:31:00.440
<v Speaker 1>early version of what will happen later where uh yeah,

0:31:00.440 --> 0:31:04.200
<v Speaker 1>he's he doesn't you know, whatever has to happen to

0:31:04.320 --> 0:31:07.600
<v Speaker 1>keep the warehouses most efficient is what's going to happen.

0:31:07.640 --> 0:31:10.720
<v Speaker 1>And he's kind of you see, from the beginning, there's

0:31:10.760 --> 0:31:13.440
<v Speaker 1>not a whole lot of belief that Bezos has that

0:31:13.560 --> 0:31:16.680
<v Speaker 1>you ought to that your family life is more important

0:31:16.680 --> 0:31:20.800
<v Speaker 1>than Amazon shipping out products. Right, it's certainly not to him,

0:31:20.840 --> 0:31:22.960
<v Speaker 1>and he doesn't feel like it should be for anyone else.

0:31:23.440 --> 0:31:26.840
<v Speaker 1>And that's okay when you've got this tiny startup company

0:31:26.840 --> 0:31:30.080
<v Speaker 1>and everybody involved has some equity, and everybody involved is

0:31:30.120 --> 0:31:32.800
<v Speaker 1>the same kind of crazy. But as it gets bigger

0:31:32.800 --> 0:31:35.560
<v Speaker 1>and bigger, these warehouses get bigger and bigger, and these

0:31:35.560 --> 0:31:38.360
<v Speaker 1>people aren't cut into the profits. These people don't have

0:31:38.400 --> 0:31:42.120
<v Speaker 1>any kind of um buy into the organization. But he

0:31:42.240 --> 0:31:45.080
<v Speaker 1>still has the same attitude that like, well, you shouldn't

0:31:45.120 --> 0:31:48.760
<v Speaker 1>have a life outside of this if if that's going

0:31:48.800 --> 0:31:52.320
<v Speaker 1>to at all reduce the efficiency of the warehouse. It's

0:31:52.360 --> 0:31:55.920
<v Speaker 1>It's interesting because from the very early on you saw

0:31:56.120 --> 0:31:59.320
<v Speaker 1>what was just basically now the reason there is so

0:31:59.400 --> 0:32:02.960
<v Speaker 1>much bad US on Amazon, the reason um the Mega

0:32:03.000 --> 0:32:06.160
<v Speaker 1>code this podcast even exists, it started very early on,

0:32:06.200 --> 0:32:09.240
<v Speaker 1>you know what I mean. It starts at the very beginning.

0:32:09.240 --> 0:32:13.239
<v Speaker 1>There's stories that are told almost as like pride of

0:32:13.280 --> 0:32:18.440
<v Speaker 1>like employees weeping at their desks because they're so overworked. Um,

0:32:18.520 --> 0:32:21.320
<v Speaker 1>and that that's in line with like his the the

0:32:21.360 --> 0:32:25.360
<v Speaker 1>motto that he wants his employees to have is I'm peculiar,

0:32:25.840 --> 0:32:28.640
<v Speaker 1>which basically means like I'm willing to work like a

0:32:28.680 --> 0:32:31.920
<v Speaker 1>crazy person and and cut years off of my life

0:32:31.960 --> 0:32:35.400
<v Speaker 1>in order to make this company a success. UM. He

0:32:35.720 --> 0:32:39.160
<v Speaker 1>comes up with this list of fourteen rules UM that

0:32:39.320 --> 0:32:42.840
<v Speaker 1>are you know, his attitudes on on business and whatnot.

0:32:42.840 --> 0:32:47.240
<v Speaker 1>They're kind of like the religious founding of Amazon corporate culture. UM.

0:32:47.280 --> 0:32:49.320
<v Speaker 1>A lot of it's just kind of stuff like higher

0:32:49.320 --> 0:32:52.640
<v Speaker 1>and developed the best, which I think every company agrees

0:32:53.200 --> 0:32:56.959
<v Speaker 1>is important. But he also wants employees to exhibit ownership

0:32:57.800 --> 0:32:59.760
<v Speaker 1>of of the chunk of the business they're working on

0:33:00.320 --> 0:33:02.720
<v Speaker 1>UM and do deep dives to like find things that

0:33:02.720 --> 0:33:05.440
<v Speaker 1>are problems and fix them. And that is that is

0:33:05.640 --> 0:33:08.360
<v Speaker 1>that attitude of ownership I think goes both ways. He

0:33:08.400 --> 0:33:11.120
<v Speaker 1>wants employees to act as if they own the part

0:33:11.200 --> 0:33:13.479
<v Speaker 1>of Amazon that they're working on, so it's very personal

0:33:13.520 --> 0:33:15.880
<v Speaker 1>to them UM. But he also is going to act

0:33:16.240 --> 0:33:18.760
<v Speaker 1>as if he owns you, you know, like that's that's

0:33:18.800 --> 0:33:21.960
<v Speaker 1>his attitude, and yeah, you're a product. And there's this

0:33:22.040 --> 0:33:26.240
<v Speaker 1>very They developed this very mechanical method of analyzing employee

0:33:26.760 --> 0:33:30.320
<v Speaker 1>UM success or failure. They have these like fifty sixty

0:33:30.400 --> 0:33:33.920
<v Speaker 1>page long employee evaluations that have these that are filled

0:33:33.920 --> 0:33:37.760
<v Speaker 1>with numbers that are kind of like statistical uh derivations

0:33:37.760 --> 0:33:40.480
<v Speaker 1>of like how that employee is doing or this employee

0:33:40.480 --> 0:33:44.120
<v Speaker 1>is doing. Um. And employees are expected to like memorize

0:33:44.160 --> 0:33:47.360
<v Speaker 1>these different numbers that are put together by the company

0:33:47.400 --> 0:33:50.480
<v Speaker 1>to explain their success or failure and be willing to

0:33:50.560 --> 0:33:53.360
<v Speaker 1>like be able to recite them when like their manager

0:33:53.440 --> 0:33:55.600
<v Speaker 1>calls them and asks about a number. You have to

0:33:55.640 --> 0:33:59.360
<v Speaker 1>be able to have an answer to that kind of stuff. Um, yeah,

0:33:59.360 --> 0:34:02.680
<v Speaker 1>it's it's not And and Bezos become like is kind

0:34:02.680 --> 0:34:06.320
<v Speaker 1>of famous for his temper um. He's he's very commonly

0:34:06.360 --> 0:34:08.640
<v Speaker 1>screams at people in meetings. He likes to mock and

0:34:08.680 --> 0:34:11.279
<v Speaker 1>to ride employees when they when they fail or when

0:34:11.280 --> 0:34:13.880
<v Speaker 1>they say something that he doesn't think is like a

0:34:13.920 --> 0:34:19.160
<v Speaker 1>good enough answer. Um. He's very kind of like infamous

0:34:19.200 --> 0:34:23.839
<v Speaker 1>for breaking people down during meetings uh and attacking them. Um.

0:34:24.280 --> 0:34:27.000
<v Speaker 1>There's also this kind of early on attitude Amazon has

0:34:27.080 --> 0:34:30.400
<v Speaker 1>that like, if you're a woman, um, you haven't a

0:34:30.480 --> 0:34:35.080
<v Speaker 1>kid or anything is not like an excuse for uh.

0:34:35.239 --> 0:34:36.719
<v Speaker 1>And it's not even that, it's that there's this story

0:34:36.800 --> 0:34:39.560
<v Speaker 1>this woman Elizabeth Willett, who's like a former army captain

0:34:39.840 --> 0:34:41.799
<v Speaker 1>who gets a child and because she has a kid

0:34:41.880 --> 0:34:45.160
<v Speaker 1>now she wants to leave come to work earlier and

0:34:45.239 --> 0:34:47.000
<v Speaker 1>leave earlier so she can pick her baby up and

0:34:47.000 --> 0:34:49.040
<v Speaker 1>then go work at home like she's working the same

0:34:49.080 --> 0:34:51.880
<v Speaker 1>hours as everyone else. She just alters her schedule, but

0:34:51.960 --> 0:34:54.720
<v Speaker 1>she gets in trouble because it looks like she's leaving

0:34:54.719 --> 0:34:58.000
<v Speaker 1>earlier to her employees who are coming in later. Um,

0:34:58.040 --> 0:34:59.840
<v Speaker 1>and her boss is like, I'm not going to defend

0:34:59.880 --> 0:35:01.920
<v Speaker 1>you because it doesn't look good to your peers. And

0:35:01.960 --> 0:35:03.600
<v Speaker 1>this is this is you. Hear a lot of stories

0:35:03.640 --> 0:35:06.960
<v Speaker 1>like this at Amazon where um, because so much of

0:35:07.000 --> 0:35:10.440
<v Speaker 1>the employee evaluations are your coworkers, You're you're supposed to

0:35:10.560 --> 0:35:12.840
<v Speaker 1>kind of attack and poke holes in the performance of

0:35:12.880 --> 0:35:16.080
<v Speaker 1>your co workers. It's very competitive. Um, there's this really

0:35:16.120 --> 0:35:19.839
<v Speaker 1>abusive attitude towards people who you know, anything goes wrong

0:35:19.880 --> 0:35:21.680
<v Speaker 1>in their lives. If you get sick, you know, if

0:35:21.719 --> 0:35:24.440
<v Speaker 1>you have a death in the family. Um, even if

0:35:24.480 --> 0:35:29.480
<v Speaker 1>that doesn't actually impact your your actual work performance. If

0:35:29.520 --> 0:35:31.759
<v Speaker 1>you like miss a day, everyone who works with you

0:35:31.840 --> 0:35:33.319
<v Speaker 1>is going to attack you for it, and that's going

0:35:33.360 --> 0:35:36.040
<v Speaker 1>to be in your performance review. And so it leads

0:35:36.120 --> 0:35:39.239
<v Speaker 1>to people like breaking down again. This people weeping at

0:35:39.239 --> 0:35:42.359
<v Speaker 1>their desks is incredibly common. People just having these like

0:35:42.840 --> 0:35:47.200
<v Speaker 1>emotional collapses. Um, and a lot of it's driven by,

0:35:47.440 --> 0:35:49.680
<v Speaker 1>you know, because Jeff is the kind of guy who

0:35:49.840 --> 0:35:53.160
<v Speaker 1>too employees faces, will insult them and attack them and

0:35:53.360 --> 0:35:57.160
<v Speaker 1>give these very detailed breakdowns of like why they've failed him.

0:35:57.200 --> 0:35:59.560
<v Speaker 1>And he builds a system with an Amazon that is

0:35:59.560 --> 0:36:04.320
<v Speaker 1>supposed to spread that attitude out to everyone else. Like again,

0:36:04.560 --> 0:36:06.759
<v Speaker 1>Amazon is This is kind of I guess the most

0:36:06.760 --> 0:36:09.759
<v Speaker 1>important point and maybe even like the penultimate point I

0:36:09.760 --> 0:36:12.480
<v Speaker 1>want to make here. Amazon is. The way that it works,

0:36:12.480 --> 0:36:14.640
<v Speaker 1>the way that it treats people is an extension of

0:36:14.680 --> 0:36:18.160
<v Speaker 1>how Jeff Bezos treats people. Like he built it to

0:36:18.360 --> 0:36:21.520
<v Speaker 1>work that way. It is everything that is kind of

0:36:21.560 --> 0:36:24.920
<v Speaker 1>abusive an anti human about the company's labor practices is

0:36:24.960 --> 0:36:28.400
<v Speaker 1>that way because it's how Jeff thinks people should be

0:36:28.480 --> 0:36:31.160
<v Speaker 1>treated um, and it's how he treats people in person.

0:36:31.239 --> 0:36:35.560
<v Speaker 1>You know, these big, impersonal robotic systems are a reflection

0:36:35.600 --> 0:36:38.360
<v Speaker 1>of how he treats individuals who work for him, including

0:36:38.360 --> 0:36:41.400
<v Speaker 1>people who he's known for years. He's very famous for,

0:36:41.440 --> 0:36:44.239
<v Speaker 1>like somebody will like spend years and years working eighty

0:36:44.239 --> 0:36:47.319
<v Speaker 1>hour weeks and be integral to the company's success, and

0:36:47.360 --> 0:36:49.720
<v Speaker 1>then the instant they stumble, he fires them and replaces

0:36:49.760 --> 0:36:52.440
<v Speaker 1>them with someone else. There's no understanding of like and

0:36:52.719 --> 0:36:55.000
<v Speaker 1>you know, there's plenty of failures that Bezos makes. He

0:36:55.040 --> 0:36:57.040
<v Speaker 1>never has to pay for them, right, like him missing

0:36:57.040 --> 0:36:59.600
<v Speaker 1>out on Apple Music and you know, failing to understand

0:36:59.600 --> 0:37:02.360
<v Speaker 1>that that's an area for Amazon. He doesn't get fired

0:37:02.400 --> 0:37:04.640
<v Speaker 1>for that, but he lets people go where edges them

0:37:04.640 --> 0:37:08.080
<v Speaker 1>out and replaces them with someone younger for much smaller

0:37:08.560 --> 0:37:12.319
<v Speaker 1>snaffoos um. And it's yeah, it's it's I think that's

0:37:12.360 --> 0:37:14.600
<v Speaker 1>kind of the best point to end on is that

0:37:15.000 --> 0:37:17.160
<v Speaker 1>when you think about the things that are anti human,

0:37:17.239 --> 0:37:21.520
<v Speaker 1>that are really fucked up about how Amazon functions, those

0:37:21.560 --> 0:37:25.040
<v Speaker 1>things are fundamentally reflections of how Bezos treats the people

0:37:25.080 --> 0:37:28.400
<v Speaker 1>in his own life. This company is a direct reflection

0:37:28.480 --> 0:37:34.239
<v Speaker 1>of his personal morally. It was Robert Evans going into

0:37:34.239 --> 0:37:38.240
<v Speaker 1>the details of Jeff Bezos and how he formed Amazon

0:37:38.480 --> 0:37:43.279
<v Speaker 1>in his own image. In the next episode of Megacorp,

0:37:43.560 --> 0:37:47.960
<v Speaker 1>will be looking into how Amazon screwed over its flex drivers.

0:37:51.239 --> 0:37:55.680
<v Speaker 1>Megacorp is made by my production company H eleven for

0:37:55.880 --> 0:38:00.680
<v Speaker 1>Cool Zone Media. It's written, researched, and produced by myself,

0:38:00.760 --> 0:38:06.960
<v Speaker 1>Jake Hanrahan. It was also produced by Sophie Lichtman. Music

0:38:07.160 --> 0:38:11.240
<v Speaker 1>is by some black graphics by Adam Doyle and sound

0:38:11.280 --> 0:38:15.160
<v Speaker 1>engineering by Splicing Block. If you want to get in touch,

0:38:15.480 --> 0:38:20.680
<v Speaker 1>follow me on social media at Jake Underscore Hanrahan. That's

0:38:20.880 --> 0:38:23.960
<v Speaker 1>h a n a A h a n