1 00:00:15,316 --> 00:00:15,836 Speaker 1: Pushkin. 2 00:00:22,356 --> 00:00:24,756 Speaker 2: I'm Lydia Dean Cott, and I'm Michael Lewis. 3 00:00:25,356 --> 00:00:25,836 Speaker 1: So Michael. 4 00:00:25,956 --> 00:00:28,476 Speaker 3: Last week for the special series about The Big Short, 5 00:00:28,956 --> 00:00:32,156 Speaker 3: you spoke with Adam McKay, who directed The Big Short movie. 6 00:00:32,676 --> 00:00:34,076 Speaker 3: And today we're going to talk to some of the 7 00:00:34,076 --> 00:00:37,236 Speaker 3: real people who inspired the characters in the movie, the 8 00:00:37,276 --> 00:00:39,716 Speaker 3: people who were in your book. And I want to 9 00:00:39,756 --> 00:00:42,436 Speaker 3: start with a scene that's really early on in the movie. 10 00:00:42,796 --> 00:00:46,396 Speaker 3: It shows a meeting between the team at a small 11 00:00:46,476 --> 00:00:49,916 Speaker 3: investment firm called front Point Partners with the bond trader 12 00:00:50,036 --> 00:00:53,116 Speaker 3: from Deutsche Bank. And this bond trader had called them 13 00:00:53,156 --> 00:00:55,636 Speaker 3: up and he said he had this deal for them 14 00:00:55,716 --> 00:00:58,276 Speaker 3: that was too good to be true. And also he 15 00:00:58,316 --> 00:00:59,236 Speaker 3: called them by accident. 16 00:00:59,436 --> 00:01:00,316 Speaker 2: That's exactly right. 17 00:01:00,476 --> 00:01:04,196 Speaker 3: And in the movie, the bond trader's name is Jared 18 00:01:04,356 --> 00:01:06,956 Speaker 3: Vennette and he's played by Ryan Gosling. 19 00:01:07,396 --> 00:01:08,796 Speaker 1: Here's the clip you smell them? 20 00:01:08,836 --> 00:01:10,636 Speaker 4: What is the what? 21 00:01:10,636 --> 00:01:20,556 Speaker 1: What's that small cologne? No opportunity? No money? Okay, there's 22 00:01:20,636 --> 00:01:22,116 Speaker 1: no money, okay. 23 00:01:23,316 --> 00:01:27,196 Speaker 2: Ryan Gosling is playing Greg Littman. Even Greg Littman thinks 24 00:01:27,196 --> 00:01:30,836 Speaker 2: he's Greg Lipman when he's watching it. And Steve Carell 25 00:01:31,036 --> 00:01:34,116 Speaker 2: plays a character named Mark Boll because Steve Eisman said 26 00:01:34,116 --> 00:01:36,276 Speaker 2: he didn't want his name in the movie. So well 27 00:01:36,916 --> 00:01:39,436 Speaker 2: that Evan Eisman says, yeah, that's kind. 28 00:01:39,276 --> 00:01:41,876 Speaker 3: Of me, Like do people were lustress? 29 00:01:41,996 --> 00:01:44,796 Speaker 1: Do they actually talk like this like this? 30 00:01:45,436 --> 00:01:49,156 Speaker 2: Only Greg Lipman talks like this, he does. Oh my god. Yes, 31 00:01:49,396 --> 00:01:52,996 Speaker 2: I'm racking my brain thinking to take myself back to 32 00:01:53,076 --> 00:01:55,116 Speaker 2: why I was so excited when I was writing the book, 33 00:01:55,476 --> 00:01:59,476 Speaker 2: and one of the reasons was Greg Littman was the 34 00:01:59,516 --> 00:02:02,116 Speaker 2: only honest man on Wall Street at that moment. He 35 00:02:02,196 --> 00:02:04,116 Speaker 2: was he had figured out what was going on. He 36 00:02:04,236 --> 00:02:07,196 Speaker 2: was indeed selling the trade of the century. Everything he 37 00:02:07,236 --> 00:02:10,156 Speaker 2: said was true, but he seemed like use car salesman, 38 00:02:10,356 --> 00:02:13,836 Speaker 2: so nobody trusted him. Nobody believed him, but he was 39 00:02:13,876 --> 00:02:16,676 Speaker 2: the only person you should trust. And on the other 40 00:02:16,716 --> 00:02:19,876 Speaker 2: side of it, Steve Eisman was like the person on 41 00:02:19,876 --> 00:02:24,076 Speaker 2: Wall Street designed to mistrust Wall Street, like so deeply 42 00:02:24,116 --> 00:02:27,476 Speaker 2: cynical about Wall Street people, especially people involved in the 43 00:02:27,476 --> 00:02:32,116 Speaker 2: subprime mortgage market. So these two were meant to just 44 00:02:32,276 --> 00:02:35,316 Speaker 2: be at each other's throats, and yet it ends up 45 00:02:35,316 --> 00:02:37,716 Speaker 2: being a match made in heaven. I would go into 46 00:02:37,716 --> 00:02:40,316 Speaker 2: Eisman's office when I started working on the book, and 47 00:02:40,356 --> 00:02:42,796 Speaker 2: I would take off the other guys into rooms by 48 00:02:42,796 --> 00:02:46,156 Speaker 2: themselves to just hear the story of which important person 49 00:02:46,196 --> 00:02:49,596 Speaker 2: on Wall Street Eisman had insulted most recently. He just 50 00:02:49,676 --> 00:02:52,316 Speaker 2: did it over and over and over. I couldn't control himself. 51 00:02:52,716 --> 00:02:58,876 Speaker 2: And they assumed when when Greg Lippman wanders into their office, 52 00:02:59,036 --> 00:03:01,676 Speaker 2: then yeah, he's gonna end up being lunch, you know, 53 00:03:02,556 --> 00:03:05,796 Speaker 2: and instead they're made to be on this big screen together. 54 00:03:07,116 --> 00:03:09,556 Speaker 3: This is the Big Short Companion podcast. To the break 55 00:03:09,636 --> 00:03:13,276 Speaker 3: Michael Lewis's conversation with Greg Littman and a little later 56 00:03:13,316 --> 00:03:14,956 Speaker 3: on the real Steve Eisman. 57 00:03:24,276 --> 00:03:26,836 Speaker 2: Greg Littman is now the chief investment officer at the 58 00:03:26,836 --> 00:03:31,356 Speaker 2: asset management firm Libramax Capital. I noticed when I first 59 00:03:31,356 --> 00:03:33,436 Speaker 2: met him how good he was it breaking stuff down, 60 00:03:33,676 --> 00:03:36,276 Speaker 2: and that hasn't changed. How do you put it in 61 00:03:36,276 --> 00:03:39,916 Speaker 2: the simplest terms, like this financial crisis through your eyes 62 00:03:41,236 --> 00:03:42,876 Speaker 2: and what you experienced. 63 00:03:43,636 --> 00:03:47,636 Speaker 5: Human nature vacillates between fear and greed, and during long 64 00:03:47,636 --> 00:03:51,316 Speaker 5: periods where things are going well, people get greedier and greedier. 65 00:03:51,356 --> 00:03:54,756 Speaker 5: And so what happened during a great financial crisis was 66 00:03:55,356 --> 00:03:58,996 Speaker 5: that institutions were taking on greater and greater risks in 67 00:03:59,116 --> 00:04:02,396 Speaker 5: order to generate the same returns as instrates kept going 68 00:04:02,396 --> 00:04:05,956 Speaker 5: lower and credit spreads kept tightening. So if you're a 69 00:04:06,036 --> 00:04:08,876 Speaker 5: banker an insurance company you need to generate a certain return, 70 00:04:09,636 --> 00:04:12,356 Speaker 5: you accepted a greater amount of risk for the same 71 00:04:12,436 --> 00:04:16,236 Speaker 5: reward because in a competitive process, everybody else was doing 72 00:04:16,316 --> 00:04:18,836 Speaker 5: the same. And so that was the setup for the 73 00:04:18,836 --> 00:04:21,596 Speaker 5: Great Financial Crisis. And then the match that lit it 74 00:04:22,316 --> 00:04:27,316 Speaker 5: was the aggressive lending to homeowners in America. And as 75 00:04:27,556 --> 00:04:31,356 Speaker 5: home prices went up faster than incomes went up, the 76 00:04:31,436 --> 00:04:35,636 Speaker 5: mortgage payments had to adjust to enable people to afford 77 00:04:36,676 --> 00:04:39,116 Speaker 5: a house that they previously would have been unable to 78 00:04:39,156 --> 00:04:41,796 Speaker 5: afford that price, and so the mortgages became more and 79 00:04:41,836 --> 00:04:45,076 Speaker 5: more back ended. There was a saying, a rolling loan 80 00:04:45,156 --> 00:04:48,076 Speaker 5: gathers no loss. As long as we make new loans 81 00:04:48,396 --> 00:04:51,316 Speaker 5: to pay off the old loans, they'll never be a problem. 82 00:04:51,476 --> 00:04:54,476 Speaker 5: So I had a view that someday there would be 83 00:04:54,476 --> 00:04:57,276 Speaker 5: an issue where you couldn't pay off the old loan 84 00:04:58,276 --> 00:05:00,316 Speaker 5: with a new loan, and therefore the payments were going 85 00:05:00,356 --> 00:05:03,156 Speaker 5: to go up so high that they would default. 86 00:05:03,316 --> 00:05:07,676 Speaker 2: So it's so interesting the social role you played in 87 00:05:07,716 --> 00:05:10,916 Speaker 2: the market, seeing the world as it is and much 88 00:05:10,916 --> 00:05:13,716 Speaker 2: of the financial system is not. Most of the people 89 00:05:13,716 --> 00:05:15,476 Speaker 2: in the big banks are not seeing what you're seeing. 90 00:05:17,156 --> 00:05:19,916 Speaker 2: You're running around the world with the truth, and only 91 00:05:19,956 --> 00:05:21,996 Speaker 2: a handful of people basically believe the truth. 92 00:05:22,156 --> 00:05:24,516 Speaker 5: I pitched two hundred and fifty hedge funds roughly, and 93 00:05:24,556 --> 00:05:26,516 Speaker 5: I got about seventy five to do it. So, so 94 00:05:26,516 --> 00:05:27,956 Speaker 5: first of all, you're not going to have seventy five 95 00:05:27,996 --> 00:05:30,436 Speaker 5: people that are the same. And it's more than seventy 96 00:05:30,436 --> 00:05:32,236 Speaker 5: five people, because you know, there were more than one 97 00:05:32,236 --> 00:05:34,756 Speaker 5: person in most of these places, so call it you know, 98 00:05:34,796 --> 00:05:36,836 Speaker 5: three hundred people, right, So you're not going to have 99 00:05:36,836 --> 00:05:38,236 Speaker 5: three hundred people that are the same in the same 100 00:05:38,236 --> 00:05:40,316 Speaker 5: way the one hundred and seventy five firms that met 101 00:05:40,356 --> 00:05:43,236 Speaker 5: me and didn't do it, they're not all the same either, right. 102 00:05:43,076 --> 00:05:48,076 Speaker 5: But certainly, I think it's reasonable to say that that 103 00:05:48,196 --> 00:05:51,756 Speaker 5: people that were very establishment people, people that you know, 104 00:05:51,836 --> 00:05:54,516 Speaker 5: were the prompting of they're high school. Those were people 105 00:05:54,556 --> 00:05:57,316 Speaker 5: who generally didn't see it, didn't want to see it, 106 00:05:57,956 --> 00:06:00,596 Speaker 5: and people who felt a little bit more like outsiders 107 00:06:01,556 --> 00:06:04,596 Speaker 5: were either more more willing or more able, or in 108 00:06:04,596 --> 00:06:06,956 Speaker 5: some cases, I think you know, some of your characters 109 00:06:06,996 --> 00:06:10,436 Speaker 5: even were hoping to see it, you know, more than others. 110 00:06:10,916 --> 00:06:12,996 Speaker 5: I put the trade on in the fall of five. 111 00:06:13,236 --> 00:06:16,036 Speaker 5: That's when I start the trade, and I'd explain to 112 00:06:16,156 --> 00:06:18,316 Speaker 5: my bosses, I run a business make two hunred million 113 00:06:18,316 --> 00:06:20,916 Speaker 5: dollars a year for you, I want to put this 114 00:06:20,996 --> 00:06:23,236 Speaker 5: trade on. I'm going to spend twenty million dollars a 115 00:06:23,276 --> 00:06:26,556 Speaker 5: year until I win. The fixed income globally makes sixteen billion. 116 00:06:27,116 --> 00:06:30,796 Speaker 5: So if everything continues the way it's been going and 117 00:06:30,836 --> 00:06:33,236 Speaker 5: I put this trade on, y'all are going to make 118 00:06:33,276 --> 00:06:34,556 Speaker 5: fifteen point nine to eight billion. 119 00:06:35,596 --> 00:06:36,876 Speaker 1: You're not even going to notice my thing. 120 00:06:37,476 --> 00:06:39,996 Speaker 5: And if my thing blows up, I think it's going 121 00:06:40,076 --> 00:06:42,196 Speaker 5: to affect your sixteen billion, So you're. 122 00:06:42,076 --> 00:06:45,676 Speaker 1: Going to need my money. So that's the thesis. 123 00:06:46,076 --> 00:06:48,276 Speaker 5: So about six months later they were like, well it 124 00:06:48,276 --> 00:06:52,476 Speaker 5: didn't work yet, and I was like, so, m I 125 00:06:52,596 --> 00:06:54,556 Speaker 5: told you the thesis was this two to four years, 126 00:06:54,596 --> 00:06:57,796 Speaker 5: and like leave me alone. Well, we don't like that. 127 00:06:58,036 --> 00:07:01,516 Speaker 5: You need to find people that believe in this besides yourself. 128 00:07:01,836 --> 00:07:04,236 Speaker 5: So if you can't find anybody else, we're going to 129 00:07:04,276 --> 00:07:07,636 Speaker 5: close you down. And we really don't like losing, you know, 130 00:07:07,796 --> 00:07:10,956 Speaker 5: two million a month until we make a billion. We 131 00:07:10,996 --> 00:07:15,036 Speaker 5: don't like that because they lived for this month's earnings report, right. 132 00:07:16,596 --> 00:07:19,436 Speaker 5: So I went on a mission to find people to 133 00:07:19,676 --> 00:07:22,636 Speaker 5: allow me to stay in the game. That's I looked 134 00:07:22,636 --> 00:07:25,636 Speaker 5: at these people and said, hey, like, I'm going to 135 00:07:25,636 --> 00:07:27,476 Speaker 5: give them something that I think is great for them, 136 00:07:28,196 --> 00:07:29,796 Speaker 5: and what they're going to give me an exchange for 137 00:07:29,836 --> 00:07:32,276 Speaker 5: that is enable me to stay in the game. I 138 00:07:32,396 --> 00:07:34,436 Speaker 5: viewed this meeting them as much better for them than 139 00:07:34,436 --> 00:07:36,596 Speaker 5: for me, very good for me. I was giving people 140 00:07:36,916 --> 00:07:39,156 Speaker 5: an amazing thing and just they weren't going to make 141 00:07:39,196 --> 00:07:41,156 Speaker 5: all the money, but they were going to make tons 142 00:07:41,196 --> 00:07:43,156 Speaker 5: of money. So I was on a mission where I 143 00:07:43,196 --> 00:07:46,236 Speaker 5: had to find people to cover this week's bill. What 144 00:07:46,356 --> 00:07:48,956 Speaker 5: is true is it was sort of a wrong number 145 00:07:49,076 --> 00:07:51,196 Speaker 5: in the sense that I was trying to reach the 146 00:07:51,196 --> 00:07:54,756 Speaker 5: front point that was long one of these subprime originators. 147 00:07:54,956 --> 00:07:56,956 Speaker 5: But what's also true is I was trying to find 148 00:07:56,956 --> 00:07:59,556 Speaker 5: anyone that was willing to listen to my idea and 149 00:07:59,596 --> 00:08:02,516 Speaker 5: pay this week's You know, bar tab, Had. 150 00:08:02,356 --> 00:08:03,436 Speaker 2: You ever met any of them? 151 00:08:03,556 --> 00:08:04,596 Speaker 1: No? 152 00:08:04,596 --> 00:08:06,436 Speaker 5: No, Now, they reminded me of people that I went 153 00:08:06,476 --> 00:08:10,156 Speaker 5: to summer camp with. I had gone to a summer 154 00:08:10,196 --> 00:08:13,356 Speaker 5: camp where it was run by a charity so people paid, 155 00:08:13,556 --> 00:08:15,796 Speaker 5: you know, differently based on their income. And there's a 156 00:08:15,796 --> 00:08:19,076 Speaker 5: lot of kids from Queens in the Bronx. And and 157 00:08:19,156 --> 00:08:21,556 Speaker 5: while I was sort of very solidly middle class for 158 00:08:21,636 --> 00:08:24,276 Speaker 5: that camp, it was like a lower class camp in 159 00:08:24,356 --> 00:08:29,316 Speaker 5: terms of income. I found them entertaining. I found Eisman 160 00:08:29,476 --> 00:08:31,356 Speaker 5: to be more difficult than the other guys. 161 00:08:32,756 --> 00:08:34,956 Speaker 2: And what was difficult about Heisman? 162 00:08:36,596 --> 00:08:41,436 Speaker 5: So look, there were people then, not not Eisman, but 163 00:08:41,476 --> 00:08:43,716 Speaker 5: there were people that whatever I said, you know, I 164 00:08:43,716 --> 00:08:46,716 Speaker 5: said black, they said white, and we're just like difficult 165 00:08:46,756 --> 00:08:48,716 Speaker 5: for the sake of being difficult. But I remember him 166 00:08:48,716 --> 00:08:52,476 Speaker 5: as being a little bit that way. Also, you know, 167 00:08:52,516 --> 00:08:54,076 Speaker 5: I don't I remember not thinking he was a nice 168 00:08:54,076 --> 00:08:56,636 Speaker 5: guy for sure. I would also say I met a 169 00:08:56,636 --> 00:08:59,116 Speaker 5: lot of people who were extraordinarily wealthy during this time, 170 00:08:59,356 --> 00:09:02,836 Speaker 5: and most of those people seemed unhappy, uh And which 171 00:09:02,876 --> 00:09:05,676 Speaker 5: is interesting, uh in and of itself. And and and 172 00:09:05,796 --> 00:09:08,356 Speaker 5: you know, much wealthier than than than Eisman was at 173 00:09:08,356 --> 00:09:08,716 Speaker 5: the time. 174 00:09:10,796 --> 00:09:13,276 Speaker 2: So that's Greg Lippman, the person who, in the run 175 00:09:13,356 --> 00:09:16,196 Speaker 2: up to the financial crisis sniffed out Wall Street's dark 176 00:09:16,236 --> 00:09:20,716 Speaker 2: secret long before most everybody else. I really appreciate him 177 00:09:20,716 --> 00:09:23,476 Speaker 2: talking with me again after all this time When we 178 00:09:23,516 --> 00:09:25,196 Speaker 2: come back from the break, I speak with the fellow. 179 00:09:25,196 --> 00:09:27,916 Speaker 2: We were just talking about Steve Eisman, the founder of 180 00:09:27,916 --> 00:09:31,996 Speaker 2: front Point Partners and at the time won very difficult customers. 181 00:09:36,156 --> 00:09:39,276 Speaker 4: How did the Volkswagen Beatle go from being Hitler's dream 182 00:09:39,356 --> 00:09:42,716 Speaker 4: car to a hippie icon. How did a disgruntled center 183 00:09:42,756 --> 00:09:46,476 Speaker 4: fielder change the business of sports? I'm Jacob Goldstein and 184 00:09:46,596 --> 00:09:49,356 Speaker 4: on Business History my co host Robert Smith, and I 185 00:09:49,436 --> 00:09:52,436 Speaker 4: dig into the people and companies who created the modern world. 186 00:09:52,836 --> 00:09:56,396 Speaker 4: Business History is full of innovations and failures and insights 187 00:09:56,436 --> 00:09:59,676 Speaker 4: into how business works today. At the end of today's 188 00:09:59,676 --> 00:10:01,676 Speaker 4: episode of Against the Rules, we're going to play a 189 00:10:01,676 --> 00:10:06,076 Speaker 4: clip from our episode about Jim Simon's decades ago. Simon's 190 00:10:06,116 --> 00:10:10,876 Speaker 4: basically invented modern algorithmic trading. After a few early hiccups, 191 00:10:10,876 --> 00:10:14,516 Speaker 4: including buying up all the potatoes in Maine, Simon's built 192 00:10:14,516 --> 00:10:19,116 Speaker 4: a machine that generated incredible returns for decades. The show 193 00:10:19,196 --> 00:10:21,996 Speaker 4: is called Business History and the previous coming up at 194 00:10:21,996 --> 00:10:26,716 Speaker 4: the end of today's episode of Against the Rules, and. 195 00:10:26,716 --> 00:10:29,436 Speaker 2: We're back in the Big Short. One of my main 196 00:10:29,516 --> 00:10:32,436 Speaker 2: characters was a guy named Steve Eisman, who managed an 197 00:10:32,436 --> 00:10:36,636 Speaker 2: investment fund under Morgan Stanley called front Point Partners. He 198 00:10:36,676 --> 00:10:39,596 Speaker 2: had a long history with subprime mortgages, and he said 199 00:10:39,676 --> 00:10:42,996 Speaker 2: something was wrong with the mortgage backed securities market long 200 00:10:43,036 --> 00:10:46,356 Speaker 2: before many other people did. In the movie version of 201 00:10:46,396 --> 00:10:50,556 Speaker 2: the book, his character was called Mark Baum, played by 202 00:10:50,596 --> 00:10:54,036 Speaker 2: the actor Steve Carell. To a t hold on, So, 203 00:10:54,116 --> 00:10:55,556 Speaker 2: mortgage bonds are dogshit. 204 00:10:55,996 --> 00:10:58,116 Speaker 6: CDOs are dogshit wrapped in catshit. 205 00:10:59,756 --> 00:11:00,356 Speaker 1: Yeah, that's right. 206 00:11:01,676 --> 00:11:05,196 Speaker 2: Institutions treat the CDOs like they're as solid as treasury bonds, 207 00:11:05,196 --> 00:11:08,956 Speaker 2: and they're going to zero now, it can't be right there. 208 00:11:09,276 --> 00:11:11,796 Speaker 2: Five hundred billion and housing bus so last year alone, 209 00:11:11,836 --> 00:11:15,756 Speaker 2: the ratings agencies, the banks, the fucking government, they're saying, 210 00:11:15,756 --> 00:11:17,076 Speaker 2: they're all asleep at the wheel. 211 00:11:25,676 --> 00:11:29,156 Speaker 1: Lipman, God bless him, is actually an incredibly honest person, 212 00:11:30,036 --> 00:11:33,036 Speaker 1: incredibly honest. He was always honest with us. But he 213 00:11:33,076 --> 00:11:35,236 Speaker 1: comes across as a bit like a used car salesman, 214 00:11:36,596 --> 00:11:39,636 Speaker 1: and that's just who he is. Yeah, you know, But 215 00:11:39,636 --> 00:11:42,516 Speaker 1: but like I said, there is not one thing that 216 00:11:42,596 --> 00:11:45,956 Speaker 1: Lipman ever did that wasn't completely about board with me. 217 00:11:46,116 --> 00:11:48,756 Speaker 1: But after the meeting, like you know, the guys thought said, 218 00:11:48,756 --> 00:11:50,116 Speaker 1: what do you think? I said, what do I think? 219 00:11:51,276 --> 00:11:53,356 Speaker 1: Somebody just told me how to make a gazillion dollars. 220 00:11:53,356 --> 00:11:55,676 Speaker 1: I'm ready to go, and I said, wait a minute, 221 00:11:55,676 --> 00:11:58,716 Speaker 1: he's going to screw with somehow. And he actually told 222 00:11:58,756 --> 00:12:00,556 Speaker 1: you how he was going to screw you. He said 223 00:12:00,556 --> 00:12:02,076 Speaker 1: to us in the meeting, let's say the credit to 224 00:12:02,156 --> 00:12:04,516 Speaker 1: false swap goes down in price. Let's see why it 225 00:12:04,836 --> 00:12:07,236 Speaker 1: par And it goes down to thirty cents on the 226 00:12:07,316 --> 00:12:10,636 Speaker 1: dollars you made seventy cents. He says, when you want 227 00:12:10,636 --> 00:12:13,556 Speaker 1: to get out, I'll take you out at forty. And 228 00:12:14,596 --> 00:12:16,956 Speaker 1: guess what he was wrong, because by the time we 229 00:12:16,996 --> 00:12:19,556 Speaker 1: wanted to get out, everybody wanted our credit to fault swots. 230 00:12:19,636 --> 00:12:21,676 Speaker 1: That's how he thought he was going to screw you, right, 231 00:12:21,796 --> 00:12:22,996 Speaker 1: But he didn't. 232 00:12:23,276 --> 00:12:27,796 Speaker 2: When you think back on the financial crisis on that period, 233 00:12:28,476 --> 00:12:30,356 Speaker 2: what scenes pop into your head. 234 00:12:30,596 --> 00:12:34,676 Speaker 1: One scene that's not in the movie is so you 235 00:12:34,796 --> 00:12:38,116 Speaker 1: go back. So Lehman was on that Sunday in I 236 00:12:38,116 --> 00:12:41,596 Speaker 1: think September. I forget whatever day to like fourteenth or something. 237 00:12:41,916 --> 00:12:45,356 Speaker 1: So that was Sunday, and then Merrill Lynch got bought 238 00:12:45,436 --> 00:12:48,676 Speaker 1: out by Bank of America on the same day. I 239 00:12:48,676 --> 00:12:51,076 Speaker 1: remember sitting in a restaurant. I had a black bear 240 00:12:51,236 --> 00:12:52,956 Speaker 1: and I remember looking at my BlackBerry and it comes 241 00:12:52,996 --> 00:12:56,396 Speaker 1: across AI's fucked. It's basically what it said. I said, 242 00:12:56,396 --> 00:13:00,636 Speaker 1: Oh God, here we go. And then Friday. At the 243 00:13:00,756 --> 00:13:05,956 Speaker 1: end of that day, Friday, Paulson stopped short selling. But 244 00:13:06,116 --> 00:13:11,116 Speaker 1: in the morning it looked like planet Earth burning literally. 245 00:13:11,156 --> 00:13:13,236 Speaker 1: I mean, I remember We're sitting at the desk and 246 00:13:13,476 --> 00:13:16,596 Speaker 1: Danny was having like an anxiety attack, so with the 247 00:13:16,596 --> 00:13:18,876 Speaker 1: rest of us by the way, and I had to 248 00:13:18,916 --> 00:13:22,236 Speaker 1: go to a conference. And then I got a phone 249 00:13:22,236 --> 00:13:24,836 Speaker 1: call from Portera to say that because Danny was going 250 00:13:24,836 --> 00:13:27,196 Speaker 1: so nuts, they took him, walked him out of the office. 251 00:13:27,276 --> 00:13:29,916 Speaker 1: I'm coming, I said, meet me at the Saint Patrick's Cathedral, 252 00:13:30,076 --> 00:13:33,156 Speaker 1: which was a block from our office. And I remember, 253 00:13:33,476 --> 00:13:36,196 Speaker 1: so it's Friday now, like at around one thirty and 254 00:13:36,276 --> 00:13:39,356 Speaker 1: an hour, Paulson is about to come out with this news, 255 00:13:40,076 --> 00:13:41,356 Speaker 1: but we don't know that obviously. 256 00:13:41,716 --> 00:13:44,116 Speaker 2: And remind me of the news is that the news was. 257 00:13:44,116 --> 00:13:48,476 Speaker 1: That there's no short selling of financial companies, right, so. 258 00:13:48,516 --> 00:13:51,276 Speaker 2: You couldn't you couldn't you couldn't bet against Morgan Stanley 259 00:13:51,276 --> 00:13:52,036 Speaker 2: and Goldman Sachs in. 260 00:13:52,036 --> 00:13:54,796 Speaker 1: The stock market correct and cause an enormous rally in 261 00:13:54,836 --> 00:13:55,916 Speaker 1: the market. For two days. 262 00:13:56,036 --> 00:13:56,516 Speaker 6: That was it. 263 00:13:58,756 --> 00:14:02,116 Speaker 1: And we were sitting on the steps of Saint Patrick's 264 00:14:02,116 --> 00:14:06,676 Speaker 1: Cathedral and it was a gorgeous day, gorgeous day, and 265 00:14:06,756 --> 00:14:09,556 Speaker 1: I remember turning to one of the guys and I 266 00:14:09,596 --> 00:14:13,276 Speaker 1: said something like, these poor people, they have absolutely no 267 00:14:13,396 --> 00:14:17,636 Speaker 1: idea what's about to hit them? That I remember. 268 00:14:19,356 --> 00:14:22,156 Speaker 2: Did what you imagine what was about to hit them 269 00:14:22,276 --> 00:14:25,476 Speaker 2: hit them? Or did it play out differently than you imagined? 270 00:14:26,036 --> 00:14:28,556 Speaker 1: It mostly hit them. I mean the government stepped in 271 00:14:28,636 --> 00:14:33,076 Speaker 1: and prevent the worst, which it had to do. But look, 272 00:14:33,116 --> 00:14:35,636 Speaker 1: I don't remember unemployment levels got to like ten percent. 273 00:14:35,836 --> 00:14:37,636 Speaker 1: They would have gone to thirty. It would have been 274 00:14:37,676 --> 00:14:38,996 Speaker 1: a depression, there's no question. 275 00:14:39,196 --> 00:14:39,716 Speaker 5: Yeah. 276 00:14:40,036 --> 00:14:48,356 Speaker 1: So the government prevented the worst, and it was about 277 00:14:48,396 --> 00:14:50,276 Speaker 1: as good a job as they could do, with one 278 00:14:50,356 --> 00:14:55,476 Speaker 1: major mistake. I think the biggest mistake the Obama administration 279 00:14:55,636 --> 00:14:59,236 Speaker 1: made was and nobody went to jail. That was a terrible, 280 00:14:59,596 --> 00:15:05,476 Speaker 1: terrible policy error. And by the way, to this day, 281 00:15:05,676 --> 00:15:10,756 Speaker 1: no one knows how it happened, why that happened. The fraud, 282 00:15:11,156 --> 00:15:13,716 Speaker 1: and this is the biggest fraud in human history, was this. 283 00:15:14,116 --> 00:15:19,116 Speaker 1: When you're a Wall Street firm, you have a relationship 284 00:15:19,156 --> 00:15:23,636 Speaker 1: with subprime lenders from whom you're buying mortgages to create 285 00:15:23,636 --> 00:15:27,116 Speaker 1: a securitization. And basically what you do is you go 286 00:15:27,196 --> 00:15:29,076 Speaker 1: to the subprime firm and you say, I'll buy every 287 00:15:29,116 --> 00:15:33,236 Speaker 1: single loan that you make that has the following characteristics, 288 00:15:33,476 --> 00:15:35,196 Speaker 1: and you lay them out and call that like that's 289 00:15:35,196 --> 00:15:37,916 Speaker 1: your underwriting box. You go buy a billion dollars worth 290 00:15:37,956 --> 00:15:41,596 Speaker 1: of mortgages. On the day you buy them, you buy 291 00:15:41,636 --> 00:15:45,036 Speaker 1: them blind. You have absolutely no idea what's in the files. 292 00:15:45,756 --> 00:15:49,956 Speaker 1: So a billion dollars worth of mortgages. You can't securitize 293 00:15:50,436 --> 00:15:53,956 Speaker 1: a billion dollars worth of mortgages and say we have 294 00:15:54,036 --> 00:15:57,076 Speaker 1: no freaking idea what's in these files. Even Wall Street 295 00:15:57,076 --> 00:16:00,196 Speaker 1: won't do that, but it's expensive to go through five 296 00:16:00,236 --> 00:16:03,796 Speaker 1: thousand files. So literally every single Wall Street firm hired 297 00:16:03,796 --> 00:16:05,796 Speaker 1: a due diligence firm, and they hire the same due 298 00:16:05,796 --> 00:16:10,876 Speaker 1: diligence firm. It's called Clayton Mortgage. Yeah, so Clayton Mortgage 299 00:16:10,916 --> 00:16:14,876 Speaker 1: was hired by literally every single Wall Street firm, and 300 00:16:15,236 --> 00:16:17,596 Speaker 1: every single Wall Street firm gave Clayton Mortgage the same 301 00:16:17,636 --> 00:16:21,956 Speaker 1: marching orders, which is pull a statistically significant sample of 302 00:16:22,036 --> 00:16:27,036 Speaker 1: the files and tell us what's in them. So, starting 303 00:16:27,036 --> 00:16:30,116 Speaker 1: in six when the underwriting standard as we all know 304 00:16:30,236 --> 00:16:33,396 Speaker 1: now went completely to hell, the report start to come 305 00:16:33,436 --> 00:16:37,956 Speaker 1: back very bad, meaning anywhere from ten percent to forty 306 00:16:37,996 --> 00:16:43,796 Speaker 1: percent of the sample is no good, meaning there's not 307 00:16:43,916 --> 00:16:47,396 Speaker 1: enough employment history in here, the debt level is too high, 308 00:16:47,676 --> 00:16:53,436 Speaker 1: you know whatever. So you contractually, you the Wall Street firm, 309 00:16:53,476 --> 00:16:57,316 Speaker 1: contractually have the right to put back to the lender 310 00:16:57,916 --> 00:17:00,636 Speaker 1: any loan that you find upon due diligence does not 311 00:17:00,676 --> 00:17:06,116 Speaker 1: adhere to your underwriting standards. So here's my favorite question. 312 00:17:06,556 --> 00:17:11,356 Speaker 1: So let's say thirty percent of the ten percent is 313 00:17:11,396 --> 00:17:14,316 Speaker 1: no good? How many Wall Street firms then ordered Clayton 314 00:17:14,356 --> 00:17:17,276 Speaker 1: Mortgan to do due diligence that remaining ninety percent? Can 315 00:17:17,316 --> 00:17:23,756 Speaker 1: I answer that? Please do it? Zero? Thank you right? Zero? 316 00:17:24,516 --> 00:17:28,076 Speaker 1: And in the prospectus there would be a paragraph and 317 00:17:28,116 --> 00:17:31,556 Speaker 1: the paragraph would say risks, some of these loans might 318 00:17:31,556 --> 00:17:36,516 Speaker 1: not adhere to our ownderwriting stacks. Yes, So, by the way, 319 00:17:36,836 --> 00:17:38,276 Speaker 1: just to tell you how bad this is. So this 320 00:17:38,436 --> 00:17:41,236 Speaker 1: was discovered by the Financial Crisis Commission. They had it 321 00:17:41,316 --> 00:17:45,036 Speaker 1: hearing in Sacramento. This is Philangelies, and I remember listening 322 00:17:45,076 --> 00:17:47,476 Speaker 1: and the Clayton mortgage guy was testifying to this, and 323 00:17:47,516 --> 00:17:49,076 Speaker 1: when he was done, I turned to one a good 324 00:17:49,156 --> 00:17:51,196 Speaker 1: that people are going to chall I mean, this is unbelieved, 325 00:17:51,436 --> 00:17:54,116 Speaker 1: this is the biggest fraud new ministry. Then it's not complicated. 326 00:17:54,116 --> 00:17:57,756 Speaker 1: They're going to go to jail. So in the Angelides 327 00:17:57,916 --> 00:18:01,316 Speaker 1: did an actual referral of this very top there to 328 00:18:01,396 --> 00:18:06,196 Speaker 1: the Justice Department for criminal investigation. And then, as far 329 00:18:06,236 --> 00:18:11,236 Speaker 1: as we know, nothing happened. Nobody investigated. Now why I 330 00:18:11,236 --> 00:18:14,316 Speaker 1: don't know, and to this day I do not understand it. 331 00:18:15,236 --> 00:18:18,276 Speaker 2: If they investigate and people go to jail, who goes 332 00:18:18,316 --> 00:18:19,036 Speaker 2: to jail there? 333 00:18:19,716 --> 00:18:21,996 Speaker 1: Oh? Who goes to jail would be the people on 334 00:18:22,036 --> 00:18:29,396 Speaker 1: the securitization desk, their supervisors. Maybe you know, the such 335 00:18:29,396 --> 00:18:31,796 Speaker 1: a bad fraud, the heads of the firms should be 336 00:18:31,836 --> 00:18:35,396 Speaker 1: banned from running farms for the rest of their lives. 337 00:18:35,996 --> 00:18:38,756 Speaker 1: So what blank find should have been banned from being 338 00:18:38,836 --> 00:18:41,916 Speaker 1: the CEO of Golden Socks? I mean, you go right 339 00:18:41,996 --> 00:18:44,596 Speaker 1: up the line. This is a decision that was made 340 00:18:44,636 --> 00:18:46,036 Speaker 1: without footprints. 341 00:18:48,236 --> 00:18:50,436 Speaker 2: That's the first time I've heard that story. How does 342 00:18:50,476 --> 00:18:52,556 Speaker 2: it play out differently? If people go to jail. 343 00:18:53,716 --> 00:18:56,876 Speaker 1: The economy would have played any differently? Now few difference, 344 00:18:56,996 --> 00:18:59,476 Speaker 1: I mean, you know, prior to the crisis. Everybody's sitting 345 00:18:59,476 --> 00:19:02,116 Speaker 1: there that's suspecting that there's two systems of justice, one 346 00:19:02,156 --> 00:19:05,516 Speaker 1: for rich or one from poor. Now we know that 347 00:19:05,636 --> 00:19:07,156 Speaker 1: definitely is also. 348 00:19:07,076 --> 00:19:09,436 Speaker 2: Two systems of capitalism, once one for rid, which one 349 00:19:09,476 --> 00:19:09,996 Speaker 2: for poor. 350 00:19:10,036 --> 00:19:12,476 Speaker 1: Exactly, and so now we know, so that created the 351 00:19:12,516 --> 00:19:15,636 Speaker 1: tea party. I'm convinced that this whole, this, this created 352 00:19:15,676 --> 00:19:18,236 Speaker 1: the tea party. And then from and then from there 353 00:19:18,276 --> 00:19:20,516 Speaker 1: you could draw your own conclusions. 354 00:19:19,876 --> 00:19:21,196 Speaker 2: And the agger is still there. 355 00:19:22,076 --> 00:19:22,676 Speaker 1: It should be. 356 00:19:23,076 --> 00:19:29,276 Speaker 2: Yeah, how has it being the face of the Big 357 00:19:29,356 --> 00:19:32,796 Speaker 2: Short affected your life since the movie came out? 358 00:19:33,196 --> 00:19:34,836 Speaker 1: I mean, it doesn't affect it on a day to 359 00:19:34,876 --> 00:19:36,996 Speaker 1: day basis. I mean sometimes it's kind of funny if 360 00:19:36,996 --> 00:19:40,356 Speaker 1: they take the bus across town and somebody looks at 361 00:19:40,396 --> 00:19:41,876 Speaker 1: me and says, there, aren't you, Steve Wiseman. 362 00:19:43,636 --> 00:19:44,916 Speaker 2: Are you still running money? 363 00:19:45,516 --> 00:19:49,716 Speaker 1: No, not running any money, just my own, just your own. Yeah, 364 00:19:49,756 --> 00:19:52,716 Speaker 1: And I'm very long term invested. I don't trade. 365 00:19:54,676 --> 00:19:56,956 Speaker 2: Do you see anything going on in the banking system 366 00:19:56,996 --> 00:19:57,596 Speaker 2: that worries you. 367 00:19:59,276 --> 00:20:01,996 Speaker 1: The only thing that might worry me is, you know 368 00:20:02,036 --> 00:20:05,676 Speaker 1: the look the private equity world is multiples bigger than 369 00:20:05,716 --> 00:20:09,076 Speaker 1: it was, and nobody really knows what's going on there. 370 00:20:09,236 --> 00:20:11,556 Speaker 1: Prior equity world has not been stressed tested like the 371 00:20:11,636 --> 00:20:17,476 Speaker 1: banks at all. So if there's a problem that emerges, 372 00:20:17,796 --> 00:20:20,636 Speaker 1: I think it will emerge from there. But I don't 373 00:20:20,636 --> 00:20:23,196 Speaker 1: have any more data on this to add even a 374 00:20:23,196 --> 00:20:27,596 Speaker 1: single additional sentence. That's the problem. 375 00:20:27,876 --> 00:20:30,396 Speaker 2: How often do you find yourself pushed in the position 376 00:20:30,556 --> 00:20:33,996 Speaker 2: of trying to guess what's happening next, like you're nostro 377 00:20:34,036 --> 00:20:34,796 Speaker 2: damas well. 378 00:20:34,676 --> 00:20:37,316 Speaker 1: It's not so much that. So this is the funny thing. 379 00:20:37,316 --> 00:20:40,996 Speaker 1: These days on CNBC they call me Happy Steve because 380 00:20:40,996 --> 00:20:43,156 Speaker 1: I'm actually quite bullish on the mark. I've been bullish 381 00:20:43,196 --> 00:20:48,556 Speaker 1: for years, and they always bring up the deficit. I 382 00:20:48,596 --> 00:20:53,276 Speaker 1: call this the OI the deficit discussion. And the last 383 00:20:53,276 --> 00:20:57,516 Speaker 1: time I was on SO my theory, which is I've 384 00:20:57,556 --> 00:20:59,636 Speaker 1: said this like three thousand times because every time I'm 385 00:20:59,676 --> 00:21:01,716 Speaker 1: on TV day they basically want they're begging me to 386 00:21:01,756 --> 00:21:03,556 Speaker 1: predict the end of the world because of the data. 387 00:21:03,716 --> 00:21:08,876 Speaker 1: They said, look this, this this argument about the deficit, 388 00:21:09,876 --> 00:21:13,476 Speaker 1: it's forty years old. The last time on CNBCO was 389 00:21:13,476 --> 00:21:15,556 Speaker 1: on it was like this like the tenth time I'm 390 00:21:15,596 --> 00:21:17,596 Speaker 1: on the show, and they asked me the same question 391 00:21:18,316 --> 00:21:20,796 Speaker 1: and I go like this, you know, you know, the 392 00:21:20,836 --> 00:21:26,076 Speaker 1: problem is all these people want to be me. They 393 00:21:26,116 --> 00:21:29,316 Speaker 1: want to be the person who predicts the end of 394 00:21:29,356 --> 00:21:33,316 Speaker 1: the world, and I got news for all the position 395 00:21:33,356 --> 00:21:34,676 Speaker 1: of Steve Eisman is taken. 396 00:21:44,836 --> 00:21:48,196 Speaker 2: So when I met you, I met you because Meredith 397 00:21:48,516 --> 00:21:51,436 Speaker 2: Whitney told me I should meet you, and I came 398 00:21:51,476 --> 00:21:55,636 Speaker 2: away from the first encounter thinking that was a born teacher. 399 00:21:56,476 --> 00:21:59,756 Speaker 2: So it's funny. It's generally two of the main characters 400 00:21:59,796 --> 00:22:03,476 Speaker 2: of my books. They're all really good teachers. Billy Bean 401 00:22:04,516 --> 00:22:07,916 Speaker 2: excellent teacher. I mean, just could really explain. 402 00:22:08,436 --> 00:22:10,196 Speaker 1: That's what I would have and another lifetime I would 403 00:22:10,196 --> 00:22:11,516 Speaker 1: have been a high school history teacher. 404 00:22:12,276 --> 00:22:14,596 Speaker 2: It was very useful that you were a character too, 405 00:22:14,876 --> 00:22:20,076 Speaker 2: that people saw you as a character. But you have 406 00:22:20,116 --> 00:22:24,716 Speaker 2: an unbelievable ability to clearly explain things, and it's refreshing 407 00:22:24,756 --> 00:22:28,556 Speaker 2: to be back in its presence. Thank you so much 408 00:22:28,596 --> 00:22:31,556 Speaker 2: to Steve Eisman, and to Greg Linman for talking with 409 00:22:31,596 --> 00:22:34,316 Speaker 2: me again. Next week I find out what's happened to 410 00:22:34,316 --> 00:22:38,036 Speaker 2: Steve Eisman's traders at front Point, Vinnie Daniel, Portercollins, and 411 00:22:38,116 --> 00:22:38,836 Speaker 2: Danny Moses. 412 00:22:39,596 --> 00:22:40,316 Speaker 1: See you then. 413 00:22:44,836 --> 00:22:47,676 Speaker 3: Against the Rules, the Big short Companion is hosted by 414 00:22:47,676 --> 00:22:52,316 Speaker 3: Michael Lewis. It's produced by me Luddy, Jean Kott, and 415 00:22:52,396 --> 00:22:57,356 Speaker 3: Catherine Giroudeau. Our editor is Julia Barton. Our theme was 416 00:22:57,396 --> 00:23:01,196 Speaker 3: composed by Nick Burtel, and our engineer is Hans Dale. 417 00:23:01,196 --> 00:23:08,516 Speaker 3: She special thanks to Nicole Opton Bosch, Jasmine Faustino, Pamela 418 00:23:08,596 --> 00:23:12,836 Speaker 3: Lawrence and the rest of the Pushkin Audiobooks team. Against 419 00:23:12,836 --> 00:23:16,556 Speaker 3: the Rules is a production of Pushkin Industries. To find 420 00:23:16,556 --> 00:23:21,076 Speaker 3: more Pushkin podcasts, listen on the iHeartRadio app, Apple Podcasts 421 00:23:21,396 --> 00:23:24,196 Speaker 3: or wherever you listen to podcasts, and if you'd like 422 00:23:24,236 --> 00:23:27,716 Speaker 3: to listen ad free and learn about other exclusive offerings, 423 00:23:27,956 --> 00:23:30,436 Speaker 3: don't forget to sign up for a Pushkin Plus subscription 424 00:23:30,956 --> 00:23:36,636 Speaker 3: at pushkin dot fm, Slash Plus or honor Apple show page. 425 00:23:37,396 --> 00:23:39,836 Speaker 3: And you can get the big short now at pushkin 426 00:23:40,036 --> 00:23:45,916 Speaker 3: dot fm, Slash Audiobooks, or wherever audiobooks are sold. 427 00:23:50,556 --> 00:23:52,676 Speaker 4: It's Jacob Goldstein. I'm the co host of a new 428 00:23:52,676 --> 00:23:55,596 Speaker 4: show called Business History, and we're bringing you a clip 429 00:23:55,676 --> 00:23:58,556 Speaker 4: right now from an episode we did about a mathematician 430 00:23:58,676 --> 00:24:02,756 Speaker 4: named Jim Simon's. Simons wanted to take human emotions out 431 00:24:02,756 --> 00:24:06,716 Speaker 4: of investing, and after a few early hiccups, including buying 432 00:24:06,796 --> 00:24:09,636 Speaker 4: up all the potatoes in Maine. He created one of 433 00:24:09,676 --> 00:24:12,876 Speaker 4: the greatest money machines in history. I really hope you 434 00:24:12,956 --> 00:24:14,796 Speaker 4: like the clip, and if you want to hear more, 435 00:24:14,916 --> 00:24:18,076 Speaker 4: please check out the show. It's called Business History and 436 00:24:18,116 --> 00:24:19,996 Speaker 4: it's available wherever you're listening. 437 00:24:20,316 --> 00:24:23,716 Speaker 6: Right now, they were doing what we would call today 438 00:24:24,316 --> 00:24:25,156 Speaker 6: machine learning. 439 00:24:25,676 --> 00:24:29,596 Speaker 4: Machine learning is like, essentially, you build a system in 440 00:24:29,636 --> 00:24:31,636 Speaker 4: a computer. You feeded a bunch of data, and the 441 00:24:31,676 --> 00:24:34,596 Speaker 4: system sort of builds a map of the relationships in 442 00:24:34,596 --> 00:24:36,956 Speaker 4: that data, and then with new data it can kind 443 00:24:36,956 --> 00:24:40,556 Speaker 4: of interpolate or extrapolate and make guesses about what should 444 00:24:40,596 --> 00:24:43,676 Speaker 4: come next. And of course today we have an exciting, 445 00:24:43,916 --> 00:24:48,356 Speaker 4: maybe misleading, confounding term for machine learning. We call it AI. 446 00:24:48,636 --> 00:24:51,996 Speaker 6: Exactly right, right, this is still very basic machine learning, 447 00:24:52,196 --> 00:24:55,996 Speaker 6: and the computer at the time keeps making mistakes that 448 00:24:56,036 --> 00:25:00,116 Speaker 6: they didn't really understand. So, for instance, once the computer 449 00:25:00,796 --> 00:25:06,996 Speaker 6: developed a taste for potatoes, main potatoes, the system kept 450 00:25:07,116 --> 00:25:11,836 Speaker 6: buying main potato futures in the state of Maine. 451 00:25:12,076 --> 00:25:15,196 Speaker 4: Potato potatoes, big harvest year, next year or whatever. 452 00:25:15,436 --> 00:25:19,516 Speaker 6: Yes, okay, until two thirds of the company's money was 453 00:25:19,556 --> 00:25:22,396 Speaker 6: in potatoes. They were all in potatoes, and they got 454 00:25:22,396 --> 00:25:24,516 Speaker 6: a call from the regulators, the cft. 455 00:25:24,596 --> 00:25:28,196 Speaker 4: CFPP Commodity Futures Trading Commission. 456 00:25:27,756 --> 00:25:31,636 Speaker 6: Right saying, whoa, who are you guys, Like, what are 457 00:25:31,636 --> 00:25:34,276 Speaker 6: you doing over there? You have almost cornered the market 458 00:25:34,356 --> 00:25:38,036 Speaker 6: on potatoes. You have to sell And they ended up 459 00:25:38,116 --> 00:25:42,916 Speaker 6: losing money on the trade because blown out on potatoes, 460 00:25:43,036 --> 00:25:46,716 Speaker 6: they had stopped the computer. Whatever the computer's plan was, 461 00:25:47,356 --> 00:25:50,116 Speaker 6: but you know, this was just one small weird thing. 462 00:25:50,516 --> 00:25:54,276 Speaker 6: Simon and Baum were really kind of nervous about this 463 00:25:54,316 --> 00:25:57,196 Speaker 6: whole thing. They had taken investors money, they didn't really 464 00:25:57,236 --> 00:26:01,476 Speaker 6: know if their system worked, and as the story gets told, 465 00:26:01,516 --> 00:26:04,636 Speaker 6: they start to like second guess the computer and themselves, 466 00:26:04,676 --> 00:26:06,956 Speaker 6: and they start to think, well, I have this intuition 467 00:26:07,076 --> 00:26:10,796 Speaker 6: that gold's gonna go up because of the geopolitical situation, 468 00:26:10,996 --> 00:26:12,796 Speaker 6: and they'd make some money on that, and then they'd 469 00:26:12,796 --> 00:26:16,036 Speaker 6: lose some money on that, and so by doubting their 470 00:26:16,036 --> 00:26:19,516 Speaker 6: own system, it just wasn't really working. And at that 471 00:26:19,556 --> 00:26:21,916 Speaker 6: point they're just Wall Street investors, right when the big 472 00:26:21,956 --> 00:26:25,356 Speaker 6: computer trying to buy more potatoes and the man won't 473 00:26:25,396 --> 00:26:26,436 Speaker 6: let them buy potatoes