WEBVTT - The Short Sellers

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<v Speaker 1>Pushkin.

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<v Speaker 2>I'm Lydia Dean Cott, and I'm Michael Lewis.

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<v Speaker 1>So Michael.

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<v Speaker 3>Last week for the special series about The Big Short,

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<v Speaker 3>you spoke with Adam McKay, who directed The Big Short movie.

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<v Speaker 3>And today we're going to talk to some of the

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<v Speaker 3>real people who inspired the characters in the movie, the

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<v Speaker 3>people who were in your book. And I want to

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<v Speaker 3>start with a scene that's really early on in the movie.

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<v Speaker 3>It shows a meeting between the team at a small

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<v Speaker 3>investment firm called front Point Partners with the bond trader

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<v Speaker 3>from Deutsche Bank. And this bond trader had called them

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<v Speaker 3>up and he said he had this deal for them

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<v Speaker 3>that was too good to be true. And also he

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<v Speaker 3>called them by accident.

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<v Speaker 2>That's exactly right.

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<v Speaker 3>And in the movie, the bond trader's name is Jared

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<v Speaker 3>Vennette and he's played by Ryan Gosling.

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<v Speaker 1>Here's the clip you smell them?

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<v Speaker 4>What is the what?

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<v Speaker 1>What's that small cologne? No opportunity? No money? Okay, there's

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<v Speaker 1>no money, okay.

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<v Speaker 2>Ryan Gosling is playing Greg Littman. Even Greg Littman thinks

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<v Speaker 2>he's Greg Lipman when he's watching it. And Steve Carell

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<v Speaker 2>plays a character named Mark Boll because Steve Eisman said

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<v Speaker 2>he didn't want his name in the movie. So well

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<v Speaker 2>that Evan Eisman says, yeah, that's kind.

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<v Speaker 3>Of me, Like do people were lustress?

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<v Speaker 1>Do they actually talk like this like this?

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<v Speaker 2>Only Greg Lipman talks like this, he does. Oh my god. Yes,

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<v Speaker 2>I'm racking my brain thinking to take myself back to

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<v Speaker 2>why I was so excited when I was writing the book,

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<v Speaker 2>and one of the reasons was Greg Littman was the

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<v Speaker 2>only honest man on Wall Street at that moment. He

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<v Speaker 2>was he had figured out what was going on. He

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<v Speaker 2>was indeed selling the trade of the century. Everything he

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<v Speaker 2>said was true, but he seemed like use car salesman,

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<v Speaker 2>so nobody trusted him. Nobody believed him, but he was

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<v Speaker 2>the only person you should trust. And on the other

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<v Speaker 2>side of it, Steve Eisman was like the person on

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<v Speaker 2>Wall Street designed to mistrust Wall Street, like so deeply

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<v Speaker 2>cynical about Wall Street people, especially people involved in the

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<v Speaker 2>subprime mortgage market. So these two were meant to just

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<v Speaker 2>be at each other's throats, and yet it ends up

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<v Speaker 2>being a match made in heaven. I would go into

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<v Speaker 2>Eisman's office when I started working on the book, and

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<v Speaker 2>I would take off the other guys into rooms by

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<v Speaker 2>themselves to just hear the story of which important person

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<v Speaker 2>on Wall Street Eisman had insulted most recently. He just

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<v Speaker 2>did it over and over and over. I couldn't control himself.

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<v Speaker 2>And they assumed when when Greg Lippman wanders into their office,

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<v Speaker 2>then yeah, he's gonna end up being lunch, you know,

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<v Speaker 2>and instead they're made to be on this big screen together.

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<v Speaker 3>This is the Big Short Companion podcast. To the break

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<v Speaker 3>Michael Lewis's conversation with Greg Littman and a little later

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<v Speaker 3>on the real Steve Eisman.

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<v Speaker 2>Greg Littman is now the chief investment officer at the

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<v Speaker 2>asset management firm Libramax Capital. I noticed when I first

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<v Speaker 2>met him how good he was it breaking stuff down,

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<v Speaker 2>and that hasn't changed. How do you put it in

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<v Speaker 2>the simplest terms, like this financial crisis through your eyes

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<v Speaker 2>and what you experienced.

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<v Speaker 5>Human nature vacillates between fear and greed, and during long

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<v Speaker 5>periods where things are going well, people get greedier and greedier.

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<v Speaker 5>And so what happened during a great financial crisis was

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<v Speaker 5>that institutions were taking on greater and greater risks in

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<v Speaker 5>order to generate the same returns as instrates kept going

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<v Speaker 5>lower and credit spreads kept tightening. So if you're a

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<v Speaker 5>banker an insurance company you need to generate a certain return,

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<v Speaker 5>you accepted a greater amount of risk for the same

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<v Speaker 5>reward because in a competitive process, everybody else was doing

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<v Speaker 5>the same. And so that was the setup for the

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<v Speaker 5>Great Financial Crisis. And then the match that lit it

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<v Speaker 5>was the aggressive lending to homeowners in America. And as

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<v Speaker 5>home prices went up faster than incomes went up, the

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<v Speaker 5>mortgage payments had to adjust to enable people to afford

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<v Speaker 5>a house that they previously would have been unable to

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<v Speaker 5>afford that price, and so the mortgages became more and

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<v Speaker 5>more back ended. There was a saying, a rolling loan

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<v Speaker 5>gathers no loss. As long as we make new loans

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<v Speaker 5>to pay off the old loans, they'll never be a problem.

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<v Speaker 5>So I had a view that someday there would be

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<v Speaker 5>an issue where you couldn't pay off the old loan

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<v Speaker 5>with a new loan, and therefore the payments were going

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<v Speaker 5>to go up so high that they would default.

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<v Speaker 2>So it's so interesting the social role you played in

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<v Speaker 2>the market, seeing the world as it is and much

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<v Speaker 2>of the financial system is not. Most of the people

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<v Speaker 2>in the big banks are not seeing what you're seeing.

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<v Speaker 2>You're running around the world with the truth, and only

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<v Speaker 2>a handful of people basically believe the truth.

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<v Speaker 5>I pitched two hundred and fifty hedge funds roughly, and

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<v Speaker 5>I got about seventy five to do it. So, so

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<v Speaker 5>first of all, you're not going to have seventy five

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<v Speaker 5>people that are the same. And it's more than seventy

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<v Speaker 5>five people, because you know, there were more than one

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<v Speaker 5>person in most of these places, so call it you know,

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<v Speaker 5>three hundred people, right, So you're not going to have

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<v Speaker 5>three hundred people that are the same in the same

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<v Speaker 5>way the one hundred and seventy five firms that met

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<v Speaker 5>me and didn't do it, they're not all the same either, right.

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<v Speaker 5>But certainly, I think it's reasonable to say that that

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<v Speaker 5>people that were very establishment people, people that you know,

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<v Speaker 5>were the prompting of they're high school. Those were people

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<v Speaker 5>who generally didn't see it, didn't want to see it,

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<v Speaker 5>and people who felt a little bit more like outsiders

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<v Speaker 5>were either more more willing or more able, or in

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<v Speaker 5>some cases, I think you know, some of your characters

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<v Speaker 5>even were hoping to see it, you know, more than others.

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<v Speaker 5>I put the trade on in the fall of five.

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<v Speaker 5>That's when I start the trade, and I'd explain to

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<v Speaker 5>my bosses, I run a business make two hunred million

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<v Speaker 5>dollars a year for you, I want to put this

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<v Speaker 5>trade on. I'm going to spend twenty million dollars a

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<v Speaker 5>year until I win. The fixed income globally makes sixteen billion.

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<v Speaker 5>So if everything continues the way it's been going and

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<v Speaker 5>I put this trade on, y'all are going to make

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<v Speaker 5>fifteen point nine to eight billion.

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<v Speaker 1>You're not even going to notice my thing.

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<v Speaker 5>And if my thing blows up, I think it's going

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<v Speaker 5>to affect your sixteen billion, So you're.

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<v Speaker 1>Going to need my money. So that's the thesis.

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<v Speaker 5>So about six months later they were like, well it

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<v Speaker 5>didn't work yet, and I was like, so, m I

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<v Speaker 5>told you the thesis was this two to four years,

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<v Speaker 5>and like leave me alone. Well, we don't like that.

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<v Speaker 5>You need to find people that believe in this besides yourself.

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<v Speaker 5>So if you can't find anybody else, we're going to

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<v Speaker 5>close you down. And we really don't like losing, you know,

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<v Speaker 5>two million a month until we make a billion. We

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<v Speaker 5>don't like that because they lived for this month's earnings report, right.

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<v Speaker 5>So I went on a mission to find people to

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<v Speaker 5>allow me to stay in the game. That's I looked

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<v Speaker 5>at these people and said, hey, like, I'm going to

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<v Speaker 5>give them something that I think is great for them,

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<v Speaker 5>and what they're going to give me an exchange for

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<v Speaker 5>that is enable me to stay in the game. I

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<v Speaker 5>viewed this meeting them as much better for them than

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<v Speaker 5>for me, very good for me. I was giving people

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<v Speaker 5>an amazing thing and just they weren't going to make

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<v Speaker 5>all the money, but they were going to make tons

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<v Speaker 5>of money. So I was on a mission where I

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<v Speaker 5>had to find people to cover this week's bill. What

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<v Speaker 5>is true is it was sort of a wrong number

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<v Speaker 5>in the sense that I was trying to reach the

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<v Speaker 5>front point that was long one of these subprime originators.

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<v Speaker 5>But what's also true is I was trying to find

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<v Speaker 5>anyone that was willing to listen to my idea and

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<v Speaker 5>pay this week's You know, bar tab, Had.

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<v Speaker 2>You ever met any of them?

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<v Speaker 1>No?

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<v Speaker 5>No, Now, they reminded me of people that I went

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<v Speaker 5>to summer camp with. I had gone to a summer

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<v Speaker 5>camp where it was run by a charity so people paid,

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<v Speaker 5>you know, differently based on their income. And there's a

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<v Speaker 5>lot of kids from Queens in the Bronx. And and

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<v Speaker 5>while I was sort of very solidly middle class for

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<v Speaker 5>that camp, it was like a lower class camp in

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<v Speaker 5>terms of income. I found them entertaining. I found Eisman

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<v Speaker 5>to be more difficult than the other guys.

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<v Speaker 2>And what was difficult about Heisman?

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<v Speaker 5>So look, there were people then, not not Eisman, but

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<v Speaker 5>there were people that whatever I said, you know, I

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<v Speaker 5>said black, they said white, and we're just like difficult

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<v Speaker 5>for the sake of being difficult. But I remember him

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<v Speaker 5>as being a little bit that way. Also, you know,

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<v Speaker 5>I don't I remember not thinking he was a nice

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<v Speaker 5>guy for sure. I would also say I met a

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<v Speaker 5>lot of people who were extraordinarily wealthy during this time,

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<v Speaker 5>and most of those people seemed unhappy, uh And which

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<v Speaker 5>is interesting, uh in and of itself. And and and

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<v Speaker 5>you know, much wealthier than than than Eisman was at

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<v Speaker 5>the time.

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<v Speaker 2>So that's Greg Lippman, the person who, in the run

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<v Speaker 2>up to the financial crisis sniffed out Wall Street's dark

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<v Speaker 2>secret long before most everybody else. I really appreciate him

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<v Speaker 2>talking with me again after all this time When we

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<v Speaker 2>come back from the break, I speak with the fellow.

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<v Speaker 2>We were just talking about Steve Eisman, the founder of

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<v Speaker 2>front Point Partners and at the time won very difficult customers.

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<v Speaker 4>How did the Volkswagen Beatle go from being Hitler's dream

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<v Speaker 4>car to a hippie icon. How did a disgruntled center

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<v Speaker 4>fielder change the business of sports? I'm Jacob Goldstein and

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<v Speaker 4>on Business History my co host Robert Smith, and I

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<v Speaker 4>dig into the people and companies who created the modern world.

0:09:52.836 --> 0:09:56.396
<v Speaker 4>Business History is full of innovations and failures and insights

0:09:56.436 --> 0:09:59.676
<v Speaker 4>into how business works today. At the end of today's

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<v Speaker 4>episode of Against the Rules, we're going to play a

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<v Speaker 4>clip from our episode about Jim Simon's decades ago. Simon's

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<v Speaker 4>basically invented modern algorithmic trading. After a few early hiccups,

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<v Speaker 4>including buying up all the potatoes in Maine, Simon's built

0:10:14.516 --> 0:10:19.116
<v Speaker 4>a machine that generated incredible returns for decades. The show

0:10:19.196 --> 0:10:21.996
<v Speaker 4>is called Business History and the previous coming up at

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<v Speaker 4>the end of today's episode of Against the Rules, and.

0:10:26.716 --> 0:10:29.436
<v Speaker 2>We're back in the Big Short. One of my main

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<v Speaker 2>characters was a guy named Steve Eisman, who managed an

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<v Speaker 2>investment fund under Morgan Stanley called front Point Partners. He

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<v Speaker 2>had a long history with subprime mortgages, and he said

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<v Speaker 2>something was wrong with the mortgage backed securities market long

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<v Speaker 2>before many other people did. In the movie version of

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<v Speaker 2>the book, his character was called Mark Baum, played by

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<v Speaker 2>the actor Steve Carell. To a t hold on, So,

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<v Speaker 2>mortgage bonds are dogshit.

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<v Speaker 6>CDOs are dogshit wrapped in catshit.

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<v Speaker 1>Yeah, that's right.

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<v Speaker 2>Institutions treat the CDOs like they're as solid as treasury bonds,

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<v Speaker 2>and they're going to zero now, it can't be right there.

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<v Speaker 2>Five hundred billion and housing bus so last year alone,

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<v Speaker 2>the ratings agencies, the banks, the fucking government, they're saying,

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<v Speaker 2>they're all asleep at the wheel.

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<v Speaker 1>Lipman, God bless him, is actually an incredibly honest person,

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<v Speaker 1>incredibly honest. He was always honest with us. But he

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<v Speaker 1>comes across as a bit like a used car salesman,

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<v Speaker 1>and that's just who he is. Yeah, you know, But

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<v Speaker 1>but like I said, there is not one thing that

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<v Speaker 1>Lipman ever did that wasn't completely about board with me.

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<v Speaker 1>But after the meeting, like you know, the guys thought said,

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<v Speaker 1>what do you think? I said, what do I think?

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<v Speaker 1>Somebody just told me how to make a gazillion dollars.

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<v Speaker 1>I'm ready to go, and I said, wait a minute,

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<v Speaker 1>he's going to screw with somehow. And he actually told

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<v Speaker 1>you how he was going to screw you. He said

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<v Speaker 1>to us in the meeting, let's say the credit to

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<v Speaker 1>false swap goes down in price. Let's see why it

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<v Speaker 1>par And it goes down to thirty cents on the

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<v Speaker 1>dollars you made seventy cents. He says, when you want

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<v Speaker 1>to get out, I'll take you out at forty. And

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<v Speaker 1>guess what he was wrong, because by the time we

0:12:16.996 --> 0:12:19.556
<v Speaker 1>wanted to get out, everybody wanted our credit to fault swots.

0:12:19.636 --> 0:12:21.676
<v Speaker 1>That's how he thought he was going to screw you, right,

0:12:21.796 --> 0:12:22.996
<v Speaker 1>But he didn't.

0:12:23.276 --> 0:12:27.796
<v Speaker 2>When you think back on the financial crisis on that period,

0:12:28.476 --> 0:12:30.356
<v Speaker 2>what scenes pop into your head.

0:12:30.596 --> 0:12:34.676
<v Speaker 1>One scene that's not in the movie is so you

0:12:34.796 --> 0:12:38.116
<v Speaker 1>go back. So Lehman was on that Sunday in I

0:12:38.116 --> 0:12:41.596
<v Speaker 1>think September. I forget whatever day to like fourteenth or something.

0:12:41.916 --> 0:12:45.356
<v Speaker 1>So that was Sunday, and then Merrill Lynch got bought

0:12:45.436 --> 0:12:48.676
<v Speaker 1>out by Bank of America on the same day. I

0:12:48.676 --> 0:12:51.076
<v Speaker 1>remember sitting in a restaurant. I had a black bear

0:12:51.236 --> 0:12:52.956
<v Speaker 1>and I remember looking at my BlackBerry and it comes

0:12:52.996 --> 0:12:56.396
<v Speaker 1>across AI's fucked. It's basically what it said. I said,

0:12:56.396 --> 0:13:00.636
<v Speaker 1>Oh God, here we go. And then Friday. At the

0:13:00.756 --> 0:13:05.956
<v Speaker 1>end of that day, Friday, Paulson stopped short selling. But

0:13:06.116 --> 0:13:11.116
<v Speaker 1>in the morning it looked like planet Earth burning literally.

0:13:11.156 --> 0:13:13.236
<v Speaker 1>I mean, I remember We're sitting at the desk and

0:13:13.476 --> 0:13:16.596
<v Speaker 1>Danny was having like an anxiety attack, so with the

0:13:16.596 --> 0:13:18.876
<v Speaker 1>rest of us by the way, and I had to

0:13:18.916 --> 0:13:22.236
<v Speaker 1>go to a conference. And then I got a phone

0:13:22.236 --> 0:13:24.836
<v Speaker 1>call from Portera to say that because Danny was going

0:13:24.836 --> 0:13:27.196
<v Speaker 1>so nuts, they took him, walked him out of the office.

0:13:27.276 --> 0:13:29.916
<v Speaker 1>I'm coming, I said, meet me at the Saint Patrick's Cathedral,

0:13:30.076 --> 0:13:33.156
<v Speaker 1>which was a block from our office. And I remember,

0:13:33.476 --> 0:13:36.196
<v Speaker 1>so it's Friday now, like at around one thirty and

0:13:36.276 --> 0:13:39.356
<v Speaker 1>an hour, Paulson is about to come out with this news,

0:13:40.076 --> 0:13:41.356
<v Speaker 1>but we don't know that obviously.

0:13:41.716 --> 0:13:44.116
<v Speaker 2>And remind me of the news is that the news was.

0:13:44.116 --> 0:13:48.476
<v Speaker 1>That there's no short selling of financial companies, right, so.

0:13:48.516 --> 0:13:51.276
<v Speaker 2>You couldn't you couldn't you couldn't bet against Morgan Stanley

0:13:51.276 --> 0:13:52.036
<v Speaker 2>and Goldman Sachs in.

0:13:52.036 --> 0:13:54.796
<v Speaker 1>The stock market correct and cause an enormous rally in

0:13:54.836 --> 0:13:55.916
<v Speaker 1>the market. For two days.

0:13:56.036 --> 0:13:56.516
<v Speaker 6>That was it.

0:13:58.756 --> 0:14:02.116
<v Speaker 1>And we were sitting on the steps of Saint Patrick's

0:14:02.116 --> 0:14:06.676
<v Speaker 1>Cathedral and it was a gorgeous day, gorgeous day, and

0:14:06.756 --> 0:14:09.556
<v Speaker 1>I remember turning to one of the guys and I

0:14:09.596 --> 0:14:13.276
<v Speaker 1>said something like, these poor people, they have absolutely no

0:14:13.396 --> 0:14:17.636
<v Speaker 1>idea what's about to hit them? That I remember.

0:14:19.356 --> 0:14:22.156
<v Speaker 2>Did what you imagine what was about to hit them

0:14:22.276 --> 0:14:25.476
<v Speaker 2>hit them? Or did it play out differently than you imagined?

0:14:26.036 --> 0:14:28.556
<v Speaker 1>It mostly hit them. I mean the government stepped in

0:14:28.636 --> 0:14:33.076
<v Speaker 1>and prevent the worst, which it had to do. But look,

0:14:33.116 --> 0:14:35.636
<v Speaker 1>I don't remember unemployment levels got to like ten percent.

0:14:35.836 --> 0:14:37.636
<v Speaker 1>They would have gone to thirty. It would have been

0:14:37.676 --> 0:14:38.996
<v Speaker 1>a depression, there's no question.

0:14:39.196 --> 0:14:39.716
<v Speaker 5>Yeah.

0:14:40.036 --> 0:14:48.356
<v Speaker 1>So the government prevented the worst, and it was about

0:14:48.396 --> 0:14:50.276
<v Speaker 1>as good a job as they could do, with one

0:14:50.356 --> 0:14:55.476
<v Speaker 1>major mistake. I think the biggest mistake the Obama administration

0:14:55.636 --> 0:14:59.236
<v Speaker 1>made was and nobody went to jail. That was a terrible,

0:14:59.596 --> 0:15:05.476
<v Speaker 1>terrible policy error. And by the way, to this day,

0:15:05.676 --> 0:15:10.756
<v Speaker 1>no one knows how it happened, why that happened. The fraud,

0:15:11.156 --> 0:15:13.716
<v Speaker 1>and this is the biggest fraud in human history, was this.

0:15:14.116 --> 0:15:19.116
<v Speaker 1>When you're a Wall Street firm, you have a relationship

0:15:19.156 --> 0:15:23.636
<v Speaker 1>with subprime lenders from whom you're buying mortgages to create

0:15:23.636 --> 0:15:27.116
<v Speaker 1>a securitization. And basically what you do is you go

0:15:27.196 --> 0:15:29.076
<v Speaker 1>to the subprime firm and you say, I'll buy every

0:15:29.116 --> 0:15:33.236
<v Speaker 1>single loan that you make that has the following characteristics,

0:15:33.476 --> 0:15:35.196
<v Speaker 1>and you lay them out and call that like that's

0:15:35.196 --> 0:15:37.916
<v Speaker 1>your underwriting box. You go buy a billion dollars worth

0:15:37.956 --> 0:15:41.596
<v Speaker 1>of mortgages. On the day you buy them, you buy

0:15:41.636 --> 0:15:45.036
<v Speaker 1>them blind. You have absolutely no idea what's in the files.

0:15:45.756 --> 0:15:49.956
<v Speaker 1>So a billion dollars worth of mortgages. You can't securitize

0:15:50.436 --> 0:15:53.956
<v Speaker 1>a billion dollars worth of mortgages and say we have

0:15:54.036 --> 0:15:57.076
<v Speaker 1>no freaking idea what's in these files. Even Wall Street

0:15:57.076 --> 0:16:00.196
<v Speaker 1>won't do that, but it's expensive to go through five

0:16:00.236 --> 0:16:03.796
<v Speaker 1>thousand files. So literally every single Wall Street firm hired

0:16:03.796 --> 0:16:05.796
<v Speaker 1>a due diligence firm, and they hire the same due

0:16:05.796 --> 0:16:10.876
<v Speaker 1>diligence firm. It's called Clayton Mortgage. Yeah, so Clayton Mortgage

0:16:10.916 --> 0:16:14.876
<v Speaker 1>was hired by literally every single Wall Street firm, and

0:16:15.236 --> 0:16:17.596
<v Speaker 1>every single Wall Street firm gave Clayton Mortgage the same

0:16:17.636 --> 0:16:21.956
<v Speaker 1>marching orders, which is pull a statistically significant sample of

0:16:22.036 --> 0:16:27.036
<v Speaker 1>the files and tell us what's in them. So, starting

0:16:27.036 --> 0:16:30.116
<v Speaker 1>in six when the underwriting standard as we all know

0:16:30.236 --> 0:16:33.396
<v Speaker 1>now went completely to hell, the report start to come

0:16:33.436 --> 0:16:37.956
<v Speaker 1>back very bad, meaning anywhere from ten percent to forty

0:16:37.996 --> 0:16:43.796
<v Speaker 1>percent of the sample is no good, meaning there's not

0:16:43.916 --> 0:16:47.396
<v Speaker 1>enough employment history in here, the debt level is too high,

0:16:47.676 --> 0:16:53.436
<v Speaker 1>you know whatever. So you contractually, you the Wall Street firm,

0:16:53.476 --> 0:16:57.316
<v Speaker 1>contractually have the right to put back to the lender

0:16:57.916 --> 0:17:00.636
<v Speaker 1>any loan that you find upon due diligence does not

0:17:00.676 --> 0:17:06.116
<v Speaker 1>adhere to your underwriting standards. So here's my favorite question.

0:17:06.556 --> 0:17:11.356
<v Speaker 1>So let's say thirty percent of the ten percent is

0:17:11.396 --> 0:17:14.316
<v Speaker 1>no good? How many Wall Street firms then ordered Clayton

0:17:14.356 --> 0:17:17.276
<v Speaker 1>Mortgan to do due diligence that remaining ninety percent? Can

0:17:17.316 --> 0:17:23.756
<v Speaker 1>I answer that? Please do it? Zero? Thank you right? Zero?

0:17:24.516 --> 0:17:28.076
<v Speaker 1>And in the prospectus there would be a paragraph and

0:17:28.116 --> 0:17:31.556
<v Speaker 1>the paragraph would say risks, some of these loans might

0:17:31.556 --> 0:17:36.516
<v Speaker 1>not adhere to our ownderwriting stacks. Yes, So, by the way,

0:17:36.836 --> 0:17:38.276
<v Speaker 1>just to tell you how bad this is. So this

0:17:38.436 --> 0:17:41.236
<v Speaker 1>was discovered by the Financial Crisis Commission. They had it

0:17:41.316 --> 0:17:45.036
<v Speaker 1>hearing in Sacramento. This is Philangelies, and I remember listening

0:17:45.076 --> 0:17:47.476
<v Speaker 1>and the Clayton mortgage guy was testifying to this, and

0:17:47.516 --> 0:17:49.076
<v Speaker 1>when he was done, I turned to one a good

0:17:49.156 --> 0:17:51.196
<v Speaker 1>that people are going to chall I mean, this is unbelieved,

0:17:51.436 --> 0:17:54.116
<v Speaker 1>this is the biggest fraud new ministry. Then it's not complicated.

0:17:54.116 --> 0:17:57.756
<v Speaker 1>They're going to go to jail. So in the Angelides

0:17:57.916 --> 0:18:01.316
<v Speaker 1>did an actual referral of this very top there to

0:18:01.396 --> 0:18:06.196
<v Speaker 1>the Justice Department for criminal investigation. And then, as far

0:18:06.236 --> 0:18:11.236
<v Speaker 1>as we know, nothing happened. Nobody investigated. Now why I

0:18:11.236 --> 0:18:14.316
<v Speaker 1>don't know, and to this day I do not understand it.

0:18:15.236 --> 0:18:18.276
<v Speaker 2>If they investigate and people go to jail, who goes

0:18:18.316 --> 0:18:19.036
<v Speaker 2>to jail there?

0:18:19.716 --> 0:18:21.996
<v Speaker 1>Oh? Who goes to jail would be the people on

0:18:22.036 --> 0:18:29.396
<v Speaker 1>the securitization desk, their supervisors. Maybe you know, the such

0:18:29.396 --> 0:18:31.796
<v Speaker 1>a bad fraud, the heads of the firms should be

0:18:31.836 --> 0:18:35.396
<v Speaker 1>banned from running farms for the rest of their lives.

0:18:35.996 --> 0:18:38.756
<v Speaker 1>So what blank find should have been banned from being

0:18:38.836 --> 0:18:41.916
<v Speaker 1>the CEO of Golden Socks? I mean, you go right

0:18:41.996 --> 0:18:44.596
<v Speaker 1>up the line. This is a decision that was made

0:18:44.636 --> 0:18:46.036
<v Speaker 1>without footprints.

0:18:48.236 --> 0:18:50.436
<v Speaker 2>That's the first time I've heard that story. How does

0:18:50.476 --> 0:18:52.556
<v Speaker 2>it play out differently? If people go to jail.

0:18:53.716 --> 0:18:56.876
<v Speaker 1>The economy would have played any differently? Now few difference,

0:18:56.996 --> 0:18:59.476
<v Speaker 1>I mean, you know, prior to the crisis. Everybody's sitting

0:18:59.476 --> 0:19:02.116
<v Speaker 1>there that's suspecting that there's two systems of justice, one

0:19:02.156 --> 0:19:05.516
<v Speaker 1>for rich or one from poor. Now we know that

0:19:05.636 --> 0:19:07.156
<v Speaker 1>definitely is also.

0:19:07.076 --> 0:19:09.436
<v Speaker 2>Two systems of capitalism, once one for rid, which one

0:19:09.476 --> 0:19:09.996
<v Speaker 2>for poor.

0:19:10.036 --> 0:19:12.476
<v Speaker 1>Exactly, and so now we know, so that created the

0:19:12.516 --> 0:19:15.636
<v Speaker 1>tea party. I'm convinced that this whole, this, this created

0:19:15.676 --> 0:19:18.236
<v Speaker 1>the tea party. And then from and then from there

0:19:18.276 --> 0:19:20.516
<v Speaker 1>you could draw your own conclusions.

0:19:19.876 --> 0:19:21.196
<v Speaker 2>And the agger is still there.

0:19:22.076 --> 0:19:22.676
<v Speaker 1>It should be.

0:19:23.076 --> 0:19:29.276
<v Speaker 2>Yeah, how has it being the face of the Big

0:19:29.356 --> 0:19:32.796
<v Speaker 2>Short affected your life since the movie came out?

0:19:33.196 --> 0:19:34.836
<v Speaker 1>I mean, it doesn't affect it on a day to

0:19:34.876 --> 0:19:36.996
<v Speaker 1>day basis. I mean sometimes it's kind of funny if

0:19:36.996 --> 0:19:40.356
<v Speaker 1>they take the bus across town and somebody looks at

0:19:40.396 --> 0:19:41.876
<v Speaker 1>me and says, there, aren't you, Steve Wiseman.

0:19:43.636 --> 0:19:44.916
<v Speaker 2>Are you still running money?

0:19:45.516 --> 0:19:49.716
<v Speaker 1>No, not running any money, just my own, just your own. Yeah,

0:19:49.756 --> 0:19:52.716
<v Speaker 1>And I'm very long term invested. I don't trade.

0:19:54.676 --> 0:19:56.956
<v Speaker 2>Do you see anything going on in the banking system

0:19:56.996 --> 0:19:57.596
<v Speaker 2>that worries you.

0:19:59.276 --> 0:20:01.996
<v Speaker 1>The only thing that might worry me is, you know

0:20:02.036 --> 0:20:05.676
<v Speaker 1>the look the private equity world is multiples bigger than

0:20:05.716 --> 0:20:09.076
<v Speaker 1>it was, and nobody really knows what's going on there.

0:20:09.236 --> 0:20:11.556
<v Speaker 1>Prior equity world has not been stressed tested like the

0:20:11.636 --> 0:20:17.476
<v Speaker 1>banks at all. So if there's a problem that emerges,

0:20:17.796 --> 0:20:20.636
<v Speaker 1>I think it will emerge from there. But I don't

0:20:20.636 --> 0:20:23.196
<v Speaker 1>have any more data on this to add even a

0:20:23.196 --> 0:20:27.596
<v Speaker 1>single additional sentence. That's the problem.

0:20:27.876 --> 0:20:30.396
<v Speaker 2>How often do you find yourself pushed in the position

0:20:30.556 --> 0:20:33.996
<v Speaker 2>of trying to guess what's happening next, like you're nostro

0:20:34.036 --> 0:20:34.796
<v Speaker 2>damas well.

0:20:34.676 --> 0:20:37.316
<v Speaker 1>It's not so much that. So this is the funny thing.

0:20:37.316 --> 0:20:40.996
<v Speaker 1>These days on CNBC they call me Happy Steve because

0:20:40.996 --> 0:20:43.156
<v Speaker 1>I'm actually quite bullish on the mark. I've been bullish

0:20:43.196 --> 0:20:48.556
<v Speaker 1>for years, and they always bring up the deficit. I

0:20:48.596 --> 0:20:53.276
<v Speaker 1>call this the OI the deficit discussion. And the last

0:20:53.276 --> 0:20:57.516
<v Speaker 1>time I was on SO my theory, which is I've

0:20:57.556 --> 0:20:59.636
<v Speaker 1>said this like three thousand times because every time I'm

0:20:59.676 --> 0:21:01.716
<v Speaker 1>on TV day they basically want they're begging me to

0:21:01.756 --> 0:21:03.556
<v Speaker 1>predict the end of the world because of the data.

0:21:03.716 --> 0:21:08.876
<v Speaker 1>They said, look this, this this argument about the deficit,

0:21:09.876 --> 0:21:13.476
<v Speaker 1>it's forty years old. The last time on CNBCO was

0:21:13.476 --> 0:21:15.556
<v Speaker 1>on it was like this like the tenth time I'm

0:21:15.596 --> 0:21:17.596
<v Speaker 1>on the show, and they asked me the same question

0:21:18.316 --> 0:21:20.796
<v Speaker 1>and I go like this, you know, you know, the

0:21:20.836 --> 0:21:26.076
<v Speaker 1>problem is all these people want to be me. They

0:21:26.116 --> 0:21:29.316
<v Speaker 1>want to be the person who predicts the end of

0:21:29.356 --> 0:21:33.316
<v Speaker 1>the world, and I got news for all the position

0:21:33.356 --> 0:21:34.676
<v Speaker 1>of Steve Eisman is taken.

0:21:44.836 --> 0:21:48.196
<v Speaker 2>So when I met you, I met you because Meredith

0:21:48.516 --> 0:21:51.436
<v Speaker 2>Whitney told me I should meet you, and I came

0:21:51.476 --> 0:21:55.636
<v Speaker 2>away from the first encounter thinking that was a born teacher.

0:21:56.476 --> 0:21:59.756
<v Speaker 2>So it's funny. It's generally two of the main characters

0:21:59.796 --> 0:22:03.476
<v Speaker 2>of my books. They're all really good teachers. Billy Bean

0:22:04.516 --> 0:22:07.916
<v Speaker 2>excellent teacher. I mean, just could really explain.

0:22:08.436 --> 0:22:10.196
<v Speaker 1>That's what I would have and another lifetime I would

0:22:10.196 --> 0:22:11.516
<v Speaker 1>have been a high school history teacher.

0:22:12.276 --> 0:22:14.596
<v Speaker 2>It was very useful that you were a character too,

0:22:14.876 --> 0:22:20.076
<v Speaker 2>that people saw you as a character. But you have

0:22:20.116 --> 0:22:24.716
<v Speaker 2>an unbelievable ability to clearly explain things, and it's refreshing

0:22:24.756 --> 0:22:28.556
<v Speaker 2>to be back in its presence. Thank you so much

0:22:28.596 --> 0:22:31.556
<v Speaker 2>to Steve Eisman, and to Greg Linman for talking with

0:22:31.596 --> 0:22:34.316
<v Speaker 2>me again. Next week I find out what's happened to

0:22:34.316 --> 0:22:38.036
<v Speaker 2>Steve Eisman's traders at front Point, Vinnie Daniel, Portercollins, and

0:22:38.116 --> 0:22:38.836
<v Speaker 2>Danny Moses.

0:22:39.596 --> 0:22:40.316
<v Speaker 1>See you then.

0:22:44.836 --> 0:22:47.676
<v Speaker 3>Against the Rules, the Big short Companion is hosted by

0:22:47.676 --> 0:22:52.316
<v Speaker 3>Michael Lewis. It's produced by me Luddy, Jean Kott, and

0:22:52.396 --> 0:22:57.356
<v Speaker 3>Catherine Giroudeau. Our editor is Julia Barton. Our theme was

0:22:57.396 --> 0:23:01.196
<v Speaker 3>composed by Nick Burtel, and our engineer is Hans Dale.

0:23:01.196 --> 0:23:08.516
<v Speaker 3>She special thanks to Nicole Opton Bosch, Jasmine Faustino, Pamela

0:23:08.596 --> 0:23:12.836
<v Speaker 3>Lawrence and the rest of the Pushkin Audiobooks team. Against

0:23:12.836 --> 0:23:16.556
<v Speaker 3>the Rules is a production of Pushkin Industries. To find

0:23:16.556 --> 0:23:21.076
<v Speaker 3>more Pushkin podcasts, listen on the iHeartRadio app, Apple Podcasts

0:23:21.396 --> 0:23:24.196
<v Speaker 3>or wherever you listen to podcasts, and if you'd like

0:23:24.236 --> 0:23:27.716
<v Speaker 3>to listen ad free and learn about other exclusive offerings,

0:23:27.956 --> 0:23:30.436
<v Speaker 3>don't forget to sign up for a Pushkin Plus subscription

0:23:30.956 --> 0:23:36.636
<v Speaker 3>at pushkin dot fm, Slash Plus or honor Apple show page.

0:23:37.396 --> 0:23:39.836
<v Speaker 3>And you can get the big short now at pushkin

0:23:40.036 --> 0:23:45.916
<v Speaker 3>dot fm, Slash Audiobooks, or wherever audiobooks are sold.

0:23:50.556 --> 0:23:52.676
<v Speaker 4>It's Jacob Goldstein. I'm the co host of a new

0:23:52.676 --> 0:23:55.596
<v Speaker 4>show called Business History, and we're bringing you a clip

0:23:55.676 --> 0:23:58.556
<v Speaker 4>right now from an episode we did about a mathematician

0:23:58.676 --> 0:24:02.756
<v Speaker 4>named Jim Simon's. Simons wanted to take human emotions out

0:24:02.756 --> 0:24:06.716
<v Speaker 4>of investing, and after a few early hiccups, including buying

0:24:06.796 --> 0:24:09.636
<v Speaker 4>up all the potatoes in Maine. He created one of

0:24:09.676 --> 0:24:12.876
<v Speaker 4>the greatest money machines in history. I really hope you

0:24:12.956 --> 0:24:14.796
<v Speaker 4>like the clip, and if you want to hear more,

0:24:14.916 --> 0:24:18.076
<v Speaker 4>please check out the show. It's called Business History and

0:24:18.116 --> 0:24:19.996
<v Speaker 4>it's available wherever you're listening.

0:24:20.316 --> 0:24:23.716
<v Speaker 6>Right now, they were doing what we would call today

0:24:24.316 --> 0:24:25.156
<v Speaker 6>machine learning.

0:24:25.676 --> 0:24:29.596
<v Speaker 4>Machine learning is like, essentially, you build a system in

0:24:29.636 --> 0:24:31.636
<v Speaker 4>a computer. You feeded a bunch of data, and the

0:24:31.676 --> 0:24:34.596
<v Speaker 4>system sort of builds a map of the relationships in

0:24:34.596 --> 0:24:36.956
<v Speaker 4>that data, and then with new data it can kind

0:24:36.956 --> 0:24:40.556
<v Speaker 4>of interpolate or extrapolate and make guesses about what should

0:24:40.596 --> 0:24:43.676
<v Speaker 4>come next. And of course today we have an exciting,

0:24:43.916 --> 0:24:48.356
<v Speaker 4>maybe misleading, confounding term for machine learning. We call it AI.

0:24:48.636 --> 0:24:51.996
<v Speaker 6>Exactly right, right, this is still very basic machine learning,

0:24:52.196 --> 0:24:55.996
<v Speaker 6>and the computer at the time keeps making mistakes that

0:24:56.036 --> 0:25:00.116
<v Speaker 6>they didn't really understand. So, for instance, once the computer

0:25:00.796 --> 0:25:06.996
<v Speaker 6>developed a taste for potatoes, main potatoes, the system kept

0:25:07.116 --> 0:25:11.836
<v Speaker 6>buying main potato futures in the state of Maine.

0:25:12.076 --> 0:25:15.196
<v Speaker 4>Potato potatoes, big harvest year, next year or whatever.

0:25:15.436 --> 0:25:19.516
<v Speaker 6>Yes, okay, until two thirds of the company's money was

0:25:19.556 --> 0:25:22.396
<v Speaker 6>in potatoes. They were all in potatoes, and they got

0:25:22.396 --> 0:25:24.516
<v Speaker 6>a call from the regulators, the cft.

0:25:24.596 --> 0:25:28.196
<v Speaker 4>CFPP Commodity Futures Trading Commission.

0:25:27.756 --> 0:25:31.636
<v Speaker 6>Right saying, whoa, who are you guys, Like, what are

0:25:31.636 --> 0:25:34.276
<v Speaker 6>you doing over there? You have almost cornered the market

0:25:34.356 --> 0:25:38.036
<v Speaker 6>on potatoes. You have to sell And they ended up

0:25:38.116 --> 0:25:42.916
<v Speaker 6>losing money on the trade because blown out on potatoes,

0:25:43.036 --> 0:25:46.716
<v Speaker 6>they had stopped the computer. Whatever the computer's plan was,

0:25:47.356 --> 0:25:50.116
<v Speaker 6>but you know, this was just one small weird thing.

0:25:50.516 --> 0:25:54.276
<v Speaker 6>Simon and Baum were really kind of nervous about this

0:25:54.316 --> 0:25:57.196
<v Speaker 6>whole thing. They had taken investors money, they didn't really

0:25:57.236 --> 0:26:01.476
<v Speaker 6>know if their system worked, and as the story gets told,

0:26:01.516 --> 0:26:04.636
<v Speaker 6>they start to like second guess the computer and themselves,

0:26:04.676 --> 0:26:06.956
<v Speaker 6>and they start to think, well, I have this intuition

0:26:07.076 --> 0:26:10.796
<v Speaker 6>that gold's gonna go up because of the geopolitical situation,

0:26:10.996 --> 0:26:12.796
<v Speaker 6>and they'd make some money on that, and then they'd

0:26:12.796 --> 0:26:16.036
<v Speaker 6>lose some money on that, and so by doubting their

0:26:16.036 --> 0:26:19.516
<v Speaker 6>own system, it just wasn't really working. And at that

0:26:19.556 --> 0:26:21.916
<v Speaker 6>point they're just Wall Street investors, right when the big

0:26:21.956 --> 0:26:25.356
<v Speaker 6>computer trying to buy more potatoes and the man won't

0:26:25.396 --> 0:26:26.436
<v Speaker 6>let them buy potatoes