WEBVTT - Bad Monday: Shrimp, Fingers, Brains

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News. We're starting with light

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<v Speaker 1>fair you know, yeah, but lightly fried, well probably deeply fried,

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<v Speaker 1>lightly breaded, deeply fried.

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<v Speaker 2>All right, Hello and welcome to the Money Stuff Podcast.

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<v Speaker 2>You're a weekly podcast where we talk about stuff related

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<v Speaker 2>to money. I'm Matt Levine and I write the Money

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<v Speaker 2>Stuff column for Bloomberg Opinion.

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<v Speaker 1>And I'm Katie Greifeld, a reporter for Bloomberg News and

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<v Speaker 1>an anchor for Bloomberg Television.

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<v Speaker 2>What do we got today, Katy?

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<v Speaker 1>We're going to talk about shrimp and lobsters, all the

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<v Speaker 1>fair out of the sea. We're going to talk about

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<v Speaker 1>fat fingers and why City Group keeps having problems with those,

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<v Speaker 1>and then we're going to talk about brains.

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<v Speaker 2>It's going to be a good one.

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<v Speaker 1>Yeah, Red Lobster, did they really shrimp themselves to death?

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<v Speaker 2>No? Maybe a little bit.

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<v Speaker 1>But isn't it fun to pretend?

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<v Speaker 2>It's more fun to pretend than almost any other thing

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<v Speaker 2>I've pretended about. So Red Lobster filed for bankruptcy over

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<v Speaker 2>the weekend. And why did they go bankrupt? Well, you know,

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<v Speaker 2>they like had a series of business mistakes. That's some

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<v Speaker 2>onerous leases that they got in connection with the leverage

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<v Speaker 2>via changing consumer tastes. Inflation is rough and fast, casual.

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<v Speaker 1>Dining, those are all boring.

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<v Speaker 2>Yeah. No, the real answer is that they are. Their

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<v Speaker 2>equity owner is a company that is also one of

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<v Speaker 2>their big suppliers. It's a seafood company called Tai Union,

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<v Speaker 2>and Red Lobster under its former CEO, embarked on an unlimited,

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<v Speaker 2>endless shrimp promotion where for twenty dollars you can get

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<v Speaker 2>all the shrimp you wanted, all the time. And in

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<v Speaker 2>the bankruptcy papers, the new CEO kind of like works

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<v Speaker 2>on behalf of the creditors sort of insinuates that there

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<v Speaker 2>is a scheme to pump shrimp through Red Lobster to

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<v Speaker 2>make money for Tie Union at the expense of Red Lobster.

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<v Speaker 1>To just line the pockets of Thai Union. Well, it

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<v Speaker 1>did turn into they were the only shrimp supplier for

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<v Speaker 1>Red Lobster, didn't They start out with three and then

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<v Speaker 1>it whittled down to just Tai Union.

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<v Speaker 2>It's not exactly clear, but yeah, the suggestion is that

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<v Speaker 2>like there were some of the regularities in the procurement

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<v Speaker 2>process where they got rid of some of their other

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<v Speaker 2>shrimp suppliers and ended up sending more and more money

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<v Speaker 2>directly to Taie Union for more and more shrimp, and.

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<v Speaker 1>Thai Union of course disputes that passionately. They say that

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<v Speaker 1>all of those issues concerning the company and its relationship

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<v Speaker 1>to Red Lobster, you know, are basically false. But it

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<v Speaker 1>is interesting that this started out as a limited promotion

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<v Speaker 1>and then I think it was May twenty twenty three,

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<v Speaker 1>actually it turned into a permanent promotion, this endless shrimp fiasco.

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<v Speaker 2>It just makes sense. Yeah, But if you own a

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<v Speaker 2>company that is going under, and by like February this year,

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<v Speaker 2>Thai Union is saying the value of their equity at zero.

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<v Speaker 2>You own a company that's going under, yeah, you get

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<v Speaker 2>as much money as you can out of it, and

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<v Speaker 2>you also sell that company shrimp. The goal is to

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<v Speaker 2>sell them as many shrimp as possible.

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<v Speaker 1>They did end up losing eleven million dollars on it,

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<v Speaker 1>which is not huge in.

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<v Speaker 2>The ground that gets you billion dollars.

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<v Speaker 1>There's a lot of money to lose on shrimp, though,

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<v Speaker 1>I mean, I certainly haven't come anywhere close to that.

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<v Speaker 2>It is a lot of money to lose on shrimp.

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<v Speaker 2>Red Lives the bankruptcy file has a lot of like

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<v Speaker 2>good stats, including they're like twenty percent of the total

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<v Speaker 2>market for lobster tales like in the world. So yeah,

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<v Speaker 2>I mean, like, if anyone is going to lose eleven

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<v Speaker 2>million dollars on shrimp, it's definitely red lobster. But that's

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<v Speaker 2>probably not enough to drive them into bankruptcy, but it

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<v Speaker 2>is enough to be very very funny in bankruptcy.

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<v Speaker 1>It made for some amazing headlines, some amazing thought pieces,

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<v Speaker 1>some amazing money stuff columns. Let's talk about the leases though,

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<v Speaker 1>because a lot of people are pointing to the leases at.

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<v Speaker 2>Sure sure, Like the boring answer is that, like there's

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<v Speaker 2>a sort of classic private equity stripping story where it's like,

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<v Speaker 2>you know, they were owned it on point by General Mills.

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<v Speaker 2>They're on a Darden restaurant company. They were sold in

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<v Speaker 2>a leveraged buyout where basically the buyer to finance the deal,

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<v Speaker 2>sold a lot of their locations and leased them back,

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<v Speaker 2>and so they entered into a lot of like expensive leases,

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<v Speaker 2>and when hard times came, they didn't own their own

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<v Speaker 2>real estate, and so they had a little bit less

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<v Speaker 2>financial flexibility because that all these lease payments, and so

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<v Speaker 2>that was also hard on them. I'm always like skeptical

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<v Speaker 2>of these explanations because it's like that would work that

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<v Speaker 2>fine had business kept improving, right, and it worked out

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<v Speaker 2>poorly because business was declining. Like it adds leverage, right,

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<v Speaker 2>it lowers your margin for error. But like it seems

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<v Speaker 2>like the explanation here is not like Red Lobster was

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<v Speaker 2>doing great and then like financial shenanigans destroyed it. The

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<v Speaker 2>story is like Red Lobster is not doing that great

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<v Speaker 2>and the financial maneuvers gave it less of a margin

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<v Speaker 2>for error. But like, ultimately, this is a change in

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<v Speaker 2>consumer tastes story, and it turns out the consumer taster

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<v Speaker 2>or not for that many shrimp. Although the funny thing

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<v Speaker 2>is like, in conjunction with like these stories about Red

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<v Speaker 2>Lobster's collapse, you also read a lot of anecdotes about

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<v Speaker 2>people eating one hundred and eighty shrimp at a sitting

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<v Speaker 2>or whatever. I mean, why wouldn't you for reasons, but

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<v Speaker 2>like you know that someone.

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<v Speaker 1>Will I mean shrimp. I don't like shrimp, but shrimp

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<v Speaker 1>are kind of the perfect food if you're just trying

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<v Speaker 1>to get a lot of protein.

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<v Speaker 2>It is true that if I were any one hundred

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<v Speaker 2>and eighty of a food. It might be a shrimp. Yeah,

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<v Speaker 2>come on, well, the Red Lobster advertised all the shrimps

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<v Speaker 2>you could eat. That attracted some number of people who

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<v Speaker 2>are like, oh, I can eat a lot of shrimp,

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<v Speaker 2>Red Lobster, And it.

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<v Speaker 1>Probably did get people in the door. But there was a.

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<v Speaker 2>Really get negative margins.

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<v Speaker 1>Yeah, exactly. And there was a fun Bloomberg News piece

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<v Speaker 1>just talking about the state of the restaurant business right now.

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<v Speaker 1>I don't think it's any surprise that inflation is still

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<v Speaker 1>pretty high, pretty sticky. The absolute level of prices is

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<v Speaker 1>much higher than it was. And you have all of

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<v Speaker 1>these restaurant changs who you know, their businesses are in

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<v Speaker 1>much better shape than Red Lobster, but they're just going

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<v Speaker 1>for these promotions. You think about Applebee has one dollar

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<v Speaker 1>Margaritos right now, which I actually would like to try.

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<v Speaker 1>I can't imagine that as much alcohol. And then Chili's

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<v Speaker 1>has recently introduced the Big Smasher. It's part of its

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<v Speaker 1>broader campaign to have three menu items. You put them

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<v Speaker 1>all together, they cost eleven dollars. Stay with me here anyway,

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<v Speaker 1>And then.

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<v Speaker 2>Maybe you say you put them all together like on

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<v Speaker 2>a plate or like when you say, like, do they

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<v Speaker 2>actually get a blender?

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<v Speaker 1>You know, definitely not that one. Like you order three

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<v Speaker 1>menu items and all together it costs like eleven dollars.

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<v Speaker 1>But then they quote this man, he's the CEO of

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<v Speaker 1>Aaron Allen and Associates. It's a restaurant consulting firm, and

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<v Speaker 1>he says that these chains sabotage themselves by trading down

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<v Speaker 1>just to get cheap hits. It's like taking grandma's jewelry

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<v Speaker 1>to the pawn shop just to get a few quick bucks.

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<v Speaker 1>And I guess that's kind of what Red Lobster did.

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<v Speaker 1>Are the jewels the lobsters in this scenario, I'm torturing? Yeah,

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<v Speaker 1>And so I don't know if I feel like it

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<v Speaker 1>was a whole host of factors. It's probably crushing the

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<v Speaker 1>entire restaurant industry right now is sort of the fast

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<v Speaker 1>casual space. Those financial maneuvers that you described.

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<v Speaker 2>Yeah, I just I love the idea that there is

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<v Speaker 2>a shrimp conspiracy. Yeah, because, like right, there are a

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<v Speaker 2>lot of factors that are affecting all of the competitors,

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<v Speaker 2>but like here there's the specific factor that they are

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<v Speaker 2>owned by their supplier, and so it's like we can

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<v Speaker 2>just pump shrimp through the red lobster.

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<v Speaker 1>System and no one will ever know.

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<v Speaker 2>No one will ever know except that the CEO.

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<v Speaker 1>Know who put in place the CEO? Was it Thai Union.

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<v Speaker 2>Well so the old CEO Tai Union, yeah, pointed and

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<v Speaker 2>the allegations now that he was in the pocket of

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<v Speaker 2>Ti Union. But no, the new CEO is from ALPHAREZM.

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<v Speaker 2>Marshall is like basically part of the restructuring team. So

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<v Speaker 2>he like kind of works for the creditors. And you know,

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<v Speaker 2>I wrote in m my column in the first day

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<v Speaker 2>of the bankruptcy filing, he writes this statement sort of

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<v Speaker 2>alleging that Tai Union was doing all this stuff, the

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<v Speaker 2>stuff shrimp through the system. And I wrote that, you know,

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<v Speaker 2>in his position, quote you cast a wide net for

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<v Speaker 2>possible ways to claw back money for creditors, which I

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<v Speaker 2>didn't really intend as a lobster pun. But like several

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<v Speaker 2>readers put.

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<v Speaker 1>That claw terrible. That's just terrible.

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<v Speaker 2>I mean, like he works for the creditors and like

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<v Speaker 2>they need to find as much money as they can,

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<v Speaker 2>and like to the extent millions of dollars went out

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<v Speaker 2>the door to pay Tie Union for shrip. You have

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<v Speaker 2>some case to say it shouldn't have done that, and

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<v Speaker 2>like that was a violation of their duty to the

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<v Speaker 2>company and get the money back.

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<v Speaker 1>I mean the fact that Tai Union appointed the CEO

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<v Speaker 1>and then whittled it down. It's the owner of the company,

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<v Speaker 1>I know, but still and then whittled it down to

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<v Speaker 1>be the sole supplier. If they were one of several,

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<v Speaker 1>maybe that would be a better look.

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<v Speaker 2>It's definitely something that looks like a conflict of interest.

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<v Speaker 1>It certainly does. What I'm unclear on is whether the

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<v Speaker 1>promotion it's not still going on. Could you and I

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<v Speaker 1>go to the Red Lobster in Times Square.

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<v Speaker 2>I was thinking about trying to record this podcast from

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<v Speaker 2>a Red Lobster, but I thought they shut down a

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<v Speaker 2>lot of the restaurants.

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<v Speaker 1>But the one in Times Square is still open. I

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<v Speaker 1>know that because Bloomberg has actually sent some reporters there and.

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<v Speaker 2>They get the shrimp.

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<v Speaker 1>They interviewed a lot of guests, they get the shrimp

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<v Speaker 1>that was not in the article Red Luster.

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<v Speaker 2>At this late date at Red Lobster and not ordering

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<v Speaker 2>the end of this ship.

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<v Speaker 1>I know, I know it wasn't in the article. I

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<v Speaker 1>feel like we need a little bit more on the

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<v Speaker 1>ground reporting. But if the shrimp promotion is still going

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<v Speaker 1>on ourselves, I don't eat shrimp, but I would choke down.

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<v Speaker 1>Maybe maybe not one hundred and eighty, but.

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<v Speaker 2>No, I will say, yeah, this is less funny than

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<v Speaker 2>the shrimp. But people email me about this. There is

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<v Speaker 2>this analogy to the AI investing boom, oh.

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<v Speaker 1>My god, No, Okay, go ahead.

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<v Speaker 2>There's this article from a poor Agarwalla a couple of

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<v Speaker 2>months ago about large language model AI startups and a

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<v Speaker 2>lot of their investors are like big cloud and chip

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<v Speaker 2>companies like Nvidia and Google and Amazon and Microsoft. And

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<v Speaker 2>he wrote this article being like, there is a weird

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<v Speaker 2>tension there because these companies are investing billions of dollars

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<v Speaker 2>in these AI startups, but a lot of that money

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<v Speaker 2>is going right back to the cloud providers in the

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<v Speaker 2>form of like paying for chips or paying for cloud compute,

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<v Speaker 2>and so like when in Video or Microsoft invests in

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<v Speaker 2>an AI startup, like it can say I'm putting in

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<v Speaker 2>a billion dollars at a ten billion dollar valuation, but

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<v Speaker 2>it's getting most of that money back right, It's like

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<v Speaker 2>going to the supplier's bottom line. So he argues that's

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<v Speaker 2>bad for venture capitalists in that space, because like the

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<v Speaker 2>valuation of these companies is being driven up by people

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<v Speaker 2>whose interest in the company is not just being an

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<v Speaker 2>equity investor, but is also being a supplier. And He's

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<v Speaker 2>like there's conflicts of interests where like if you are

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<v Speaker 2>Microsoft or in Video and you're a big shareholder in

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<v Speaker 2>these AI startups, you know, you're like on the board,

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<v Speaker 2>you have control over this company. You might make decisions

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<v Speaker 2>that are in your best interest as a supplier and

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<v Speaker 2>not necessarily in the best interest of the company or

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<v Speaker 2>in the other investors, because your money is not really

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<v Speaker 2>an equity investment, it's really about finding customers for your

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<v Speaker 2>cloud compute power.

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<v Speaker 1>Similarly with the shrimp, Yeah, I was going to say

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<v Speaker 1>I was skeptical, and then actually that is a really

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<v Speaker 1>neat parallel in.

0:11:06.559 --> 0:11:08.200
<v Speaker 2>Most of these cases, like these companies are not the

0:11:08.320 --> 0:11:10.800
<v Speaker 2>controlling shawl, they're appointing the sea. Yeah. Right, Usually there's

0:11:10.800 --> 0:11:12.920
<v Speaker 2>like some independent you know, like the startup has its

0:11:12.920 --> 0:11:15.000
<v Speaker 2>own business model. But right, I mean, like there are

0:11:15.040 --> 0:11:17.200
<v Speaker 2>conflicts of interest there where if you're like a big supplier,

0:11:17.440 --> 0:11:20.040
<v Speaker 2>a big exclusive supplier, a lot of the equity investment

0:11:20.120 --> 0:11:22.760
<v Speaker 2>is going directly to you, Like your interest is maybe

0:11:22.880 --> 0:11:24.840
<v Speaker 2>less as an equity investor more as a supplier.

0:11:25.640 --> 0:11:28.360
<v Speaker 1>I will say, like imagining, you know, an executive with

0:11:28.440 --> 0:11:31.360
<v Speaker 1>semiconductor chips falling out of his pockets and his briefcase.

0:11:31.360 --> 0:11:34.080
<v Speaker 1>It's definitely not as much fun as shrimp. But that

0:11:34.120 --> 0:11:35.400
<v Speaker 1>does make a lot of sense.

0:11:35.400 --> 0:11:39.240
<v Speaker 2>Right, Like you hope that like this is like in

0:11:39.280 --> 0:11:41.280
<v Speaker 2>the earlier stage where it's like not as fun. You're

0:11:41.280 --> 0:11:43.600
<v Speaker 2>not like, oh, they're like stuffing computing power into these

0:11:43.679 --> 0:11:45.840
<v Speaker 2>AI startups, right because like they're all trying to make money.

0:11:45.920 --> 0:11:47.959
<v Speaker 2>They're all, you know, optimistic and hopeful. It's not like

0:11:48.000 --> 0:11:49.640
<v Speaker 2>Red Lovester with like sort of the end of the run.

0:11:49.720 --> 0:11:51.719
<v Speaker 2>But uh, I don't know, food.

0:11:51.480 --> 0:12:12.079
<v Speaker 1>For thoughts, some shrimp for thought. From shrimp to fat fingers.

0:12:12.800 --> 0:12:15.120
<v Speaker 1>This is a sad story because that's a great story.

0:12:15.200 --> 0:12:17.920
<v Speaker 1>I mean, it is about human error and who among

0:12:18.000 --> 0:12:21.040
<v Speaker 1>us hasn't accidentally tried to sell four hundred and forty

0:12:21.080 --> 0:12:23.720
<v Speaker 1>four billion dollars worth of equities.

0:12:24.000 --> 0:12:27.840
<v Speaker 2>It is the most natural mistake it can possibly make.

0:12:28.120 --> 0:12:31.880
<v Speaker 1>Why don't you walk us through the worst fourteen minutes

0:12:32.200 --> 0:12:33.319
<v Speaker 1>of this trader's career.

0:12:33.480 --> 0:12:38.559
<v Speaker 2>Okay, So there's a trader at city in London, apparently working.

0:12:38.280 --> 0:12:40.720
<v Speaker 1>From home on a Monday holiday.

0:12:40.559 --> 0:12:41.920
<v Speaker 2>On a Monday Bank holiday.

0:12:42.080 --> 0:12:46.199
<v Speaker 1>Talk about a bad Monday.

0:12:46.280 --> 0:12:49.480
<v Speaker 2>So this trader works on the Delta one desk and

0:12:49.559 --> 0:12:52.720
<v Speaker 2>city to hedge an index features order has to sell

0:12:52.760 --> 0:12:55.880
<v Speaker 2>a big basket of stocks on thirteen different European stock exchanges.

0:12:56.960 --> 0:12:59.920
<v Speaker 2>Pulls up the order management system. There's like a box

0:13:00.000 --> 0:13:02.679
<v Speaker 2>where you enter the quantity you want to sell. Actually

0:13:02.720 --> 0:13:04.760
<v Speaker 2>there's two boxes. You can enter the quantity in terms

0:13:04.800 --> 0:13:07.160
<v Speaker 2>of like units basically like shares of the index, or

0:13:07.200 --> 0:13:10.320
<v Speaker 2>you can enter the quantity in dollars. This person wants

0:13:10.360 --> 0:13:13.320
<v Speaker 2>to sell fifty eight million dollars, enters fifty eight million

0:13:13.360 --> 0:13:19.680
<v Speaker 2>in the shares field, and therefore sells fifty eight million units,

0:13:19.679 --> 0:13:23.160
<v Speaker 2>which is you know, four hundred and forty four billion

0:13:23.240 --> 0:13:28.440
<v Speaker 2>dollars worth of stocks. So fills out the form and

0:13:28.480 --> 0:13:31.800
<v Speaker 2>then this is the amazing part to me, the order

0:13:31.800 --> 0:13:34.720
<v Speaker 2>management system displays you know, fifty eight million units, but

0:13:34.760 --> 0:13:37.840
<v Speaker 2>then also displays a dollar amount. But instead of displaying

0:13:37.840 --> 0:13:39.760
<v Speaker 2>four hundred and forty four billion, which is the actual

0:13:39.800 --> 0:13:45.600
<v Speaker 2>dollar amount, it displays negative fifty eight million. Because in

0:13:45.640 --> 0:13:48.160
<v Speaker 2>that field, it like pulls in from an external pricing

0:13:48.160 --> 0:13:50.360
<v Speaker 2>source and the pricing source is like turned off that

0:13:50.480 --> 0:13:52.440
<v Speaker 2>morning because I don't know if because the market's not opener,

0:13:52.480 --> 0:13:54.880
<v Speaker 2>because the bank holiday or whatever. The pricing source is

0:13:54.880 --> 0:13:57.959
<v Speaker 2>turned off. And so City's system says, the pricing sources

0:13:57.960 --> 0:14:00.800
<v Speaker 2>isn't available, so we're going to default to negative one

0:14:00.960 --> 0:14:04.680
<v Speaker 2>dollar as a price for each share, right, So the

0:14:04.679 --> 0:14:07.160
<v Speaker 2>trader types in fifty eight million shares, and the thing

0:14:07.240 --> 0:14:09.920
<v Speaker 2>pulls in a price of negative fifty eight million. So

0:14:09.960 --> 0:14:12.440
<v Speaker 2>the trader looks at that and says, yes, right, I

0:14:12.480 --> 0:14:14.920
<v Speaker 2>wanted fifty eight million dollars. It's showing me fifty eight

0:14:14.920 --> 0:14:17.520
<v Speaker 2>million dollars. Now there's a minussignment. You know, everything is

0:14:17.559 --> 0:14:19.040
<v Speaker 2>like no one knows what the sign is supposed to

0:14:19.080 --> 0:14:22.360
<v Speaker 2>be on any of these systems, And so the trader's like, yes, okay,

0:14:22.560 --> 0:14:25.920
<v Speaker 2>fifty eight million dollars just like I thought. Clicks okay.

0:14:26.520 --> 0:14:30.160
<v Speaker 2>Then the next thing the system does pops up seven

0:14:30.280 --> 0:14:33.360
<v Speaker 2>hundred and eleven warning error messages right saying, are you

0:14:33.400 --> 0:14:35.360
<v Speaker 2>sure you want to sell you know, a billion dollars

0:14:35.360 --> 0:14:36.840
<v Speaker 2>worth of stock in Sweden? Are you sure you want

0:14:36.840 --> 0:14:38.880
<v Speaker 2>to sell a billion dollars worth of that? Suck? And

0:14:39.360 --> 0:14:42.040
<v Speaker 2>the trader, first of all, only sees eighteen of these

0:14:42.040 --> 0:14:44.200
<v Speaker 2>messages because you have to scroll down to see the

0:14:44.240 --> 0:14:49.120
<v Speaker 2>other six hundred nine and why would you and telling yeah,

0:14:49.200 --> 0:14:51.920
<v Speaker 2>it's a big order whatever, I'm clicking yes, so trader

0:14:51.960 --> 0:14:55.840
<v Speaker 2>clicks yes. Then it shows like a final confirmation, like

0:14:55.920 --> 0:14:57.480
<v Speaker 2>do you really want to sell? And at this point

0:14:57.480 --> 0:14:59.240
<v Speaker 2>it has crossed off half of the orders. It's like

0:14:59.280 --> 0:15:02.920
<v Speaker 2>half of these orders. Even cities somewhat chanky system knows

0:15:03.080 --> 0:15:05.240
<v Speaker 2>that it should not sell, you know, more than two

0:15:05.280 --> 0:15:07.440
<v Speaker 2>billion dollars worth of any stock, so like all the

0:15:07.480 --> 0:15:09.360
<v Speaker 2>stocks that s to some more than two billion dollars worth,

0:15:09.360 --> 0:15:12.960
<v Speaker 2>it cuts out, but still it says, okay, fine, do

0:15:13.000 --> 0:15:14.600
<v Speaker 2>you really want to sell one hundred and ninety six

0:15:14.600 --> 0:15:16.560
<v Speaker 2>billion dollars worth of stock? And at this point the

0:15:16.560 --> 0:15:20.960
<v Speaker 2>trader says sure and clicks yes, and off City goes

0:15:21.200 --> 0:15:23.920
<v Speaker 2>to sell one hundred ninety six billion dollars worth of stock,

0:15:24.080 --> 0:15:27.360
<v Speaker 2>which causes a flash crash, and like a bunch of

0:15:27.360 --> 0:15:28.840
<v Speaker 2>different European stock markets.

0:15:29.160 --> 0:15:33.880
<v Speaker 1>Yeah, I mean, it's just amazing. Hearing you describe it

0:15:33.920 --> 0:15:36.280
<v Speaker 1>makes my blood run cold. I do like to think

0:15:36.280 --> 0:15:39.120
<v Speaker 1>that somewhere along that line I would have stopped myself,

0:15:39.160 --> 0:15:40.760
<v Speaker 1>but one never knows.

0:15:41.960 --> 0:15:43.800
<v Speaker 2>I got a lot of emails from people being like

0:15:44.240 --> 0:15:48.640
<v Speaker 2>this person should have stopped themselves. I tell you I

0:15:48.760 --> 0:15:51.640
<v Speaker 2>know at this point from my own computer use. I

0:15:51.720 --> 0:15:53.600
<v Speaker 2>know enough about myself to know I would not.

0:15:53.520 --> 0:15:54.960
<v Speaker 1>Have lived there messages.

0:15:55.120 --> 0:15:58.480
<v Speaker 2>You know, because you're an experienced trader, right, you've done

0:15:58.480 --> 0:16:02.040
<v Speaker 2>this before? You fill the form. You see the form

0:16:02.120 --> 0:16:05.760
<v Speaker 2>show you fifty eight million dollars. You're like, yes, click yes,

0:16:06.040 --> 0:16:08.800
<v Speaker 2>and then you get like seven more click buttons that

0:16:08.920 --> 0:16:11.480
<v Speaker 2>to you are just a waste. They're like, okay, I've

0:16:11.480 --> 0:16:14.200
<v Speaker 2>already checked it. It's already yes, yes, yes, yes, yes, yes,

0:16:14.240 --> 0:16:16.480
<v Speaker 2>yes yes, and you just click. You don't look, I think,

0:16:16.560 --> 0:16:19.440
<v Speaker 2>is what happened here. I'm not responsible for trading tens

0:16:19.560 --> 0:16:22.840
<v Speaker 2>or hundreds of billions of dollars of stocks across Europe,

0:16:22.920 --> 0:16:25.280
<v Speaker 2>but like I click yes all the.

0:16:25.280 --> 0:16:27.560
<v Speaker 1>Time, man, I mean, I think about like my own

0:16:27.600 --> 0:16:29.840
<v Speaker 1>stupid mistakes. I don't have anything of this magnitude, but

0:16:29.920 --> 0:16:33.480
<v Speaker 1>like sending an instant Bloomberg message to the wrong person,

0:16:33.760 --> 0:16:37.120
<v Speaker 1>making typos, et cetera, it happens. What is amazing. You

0:16:37.160 --> 0:16:40.960
<v Speaker 1>described it as city somewhat janky system. It wouldn't have

0:16:41.000 --> 0:16:44.560
<v Speaker 1>happened in New York necessarily, but it did happen in London.

0:16:44.280 --> 0:16:46.200
<v Speaker 2>They had hard limits on how much you could sell

0:16:46.400 --> 0:16:48.640
<v Speaker 2>at one time in New York.

0:16:49.040 --> 0:16:52.320
<v Speaker 1>Yeah, And the natural question is why, But I don't

0:16:52.360 --> 0:16:53.920
<v Speaker 1>know if you have that answer.

0:16:54.000 --> 0:16:55.800
<v Speaker 2>I don't know the answer. But you know, everything is

0:16:55.840 --> 0:16:58.840
<v Speaker 2>like silent and hierarchical, and some people put it in

0:16:58.840 --> 0:17:01.000
<v Speaker 2>place and some people don't. You know, I don't have

0:17:01.040 --> 0:17:03.120
<v Speaker 2>a good answer to why. But one loss put it

0:17:03.160 --> 0:17:03.720
<v Speaker 2>in one didn't.

0:17:04.000 --> 0:17:07.560
<v Speaker 1>This in and of itself is amazing, but it's even

0:17:07.600 --> 0:17:09.800
<v Speaker 1>more amazing when you think about City's history, which you

0:17:09.840 --> 0:17:12.840
<v Speaker 1>write about, and you think about what happened with Revlon,

0:17:13.119 --> 0:17:15.479
<v Speaker 1>for example, because it hits a lot of the same notes.

0:17:15.760 --> 0:17:18.560
<v Speaker 2>Yeah, I mean the Revlon thing. City was like the

0:17:18.640 --> 0:17:21.399
<v Speaker 2>administrativevision on this big loan to Revlon, and like there

0:17:21.440 --> 0:17:23.880
<v Speaker 2>was a sort of fight over whether Reverend was in default.

0:17:23.960 --> 0:17:26.480
<v Speaker 2>And as part of that fight, Revlin meant to pay

0:17:26.520 --> 0:17:28.479
<v Speaker 2>like seven million dollars an interest to a couple of

0:17:28.760 --> 0:17:31.919
<v Speaker 2>hedge funds, and instead City paid nine hundred million dollars

0:17:32.200 --> 0:17:34.919
<v Speaker 2>paid back the loan in full. And then City was like, oops,

0:17:34.920 --> 0:17:36.840
<v Speaker 2>can we have the money back? Like half of the

0:17:36.920 --> 0:17:39.040
<v Speaker 2>lenders were like sure, here's the money back, and half

0:17:39.080 --> 0:17:40.639
<v Speaker 2>of them were like in this fight with Revlin and

0:17:40.680 --> 0:17:42.359
<v Speaker 2>we're like, no, we're keeping the money and going to court.

0:17:42.720 --> 0:17:44.560
<v Speaker 2>They kind of went in court and eventually lost, but

0:17:44.640 --> 0:17:48.800
<v Speaker 2>in the court decision in loving detailed describes how city

0:17:48.800 --> 0:17:52.720
<v Speaker 2>messed this up, and it's just incredible, like they had

0:17:52.720 --> 0:17:55.720
<v Speaker 2>this system where like the only way for them to

0:17:55.760 --> 0:17:59.120
<v Speaker 2>make this interest payment was for some reason, to pay

0:17:59.119 --> 0:18:01.800
<v Speaker 2>off the entire principle of the loan, and the City's like, well,

0:18:01.800 --> 0:18:03.720
<v Speaker 2>I was going want to do that. So no, it's okay,

0:18:03.840 --> 0:18:05.520
<v Speaker 2>you can pay off the entire principle to like a

0:18:05.520 --> 0:18:08.120
<v Speaker 2>fake memo account. So the system thinks it's paying off

0:18:08.119 --> 0:18:10.280
<v Speaker 2>the entire principle, but it's not really, no money is

0:18:10.280 --> 0:18:11.720
<v Speaker 2>going out the door. And so he's like, sure, that

0:18:11.720 --> 0:18:13.560
<v Speaker 2>sounds great, let's do that, right, which is first of all,

0:18:13.640 --> 0:18:15.840
<v Speaker 2>like a terrifying thing to agree to. But then secondly,

0:18:15.960 --> 0:18:18.879
<v Speaker 2>in order to have it only be paid to a

0:18:18.880 --> 0:18:20.919
<v Speaker 2>fake account and not actually go out the door, you

0:18:20.920 --> 0:18:23.560
<v Speaker 2>have to click like three boxes, and one is like

0:18:23.560 --> 0:18:25.399
<v Speaker 2>pay the principle to the fake account. You're like, okay,

0:18:25.400 --> 0:18:27.280
<v Speaker 2>click the principal box, and then the other two are

0:18:27.320 --> 0:18:30.840
<v Speaker 2>like just bizarre buzzwords, and so like the three people,

0:18:31.240 --> 0:18:33.520
<v Speaker 2>three people had to do this, the three people signing

0:18:33.560 --> 0:18:36.200
<v Speaker 2>off on the city thing, like yep, the right boxes checked,

0:18:36.760 --> 0:18:38.560
<v Speaker 2>but then they didn't check the other two boxes that

0:18:38.600 --> 0:18:41.080
<v Speaker 2>were more complicated, and so they sent out nine hundred

0:18:41.080 --> 0:18:44.359
<v Speaker 2>million dollars by accident. And then when they saw that

0:18:44.400 --> 0:18:46.440
<v Speaker 2>it had gone out, they called tech support and we like,

0:18:46.480 --> 0:18:49.160
<v Speaker 2>the system isn't working. And ultimately turned out the system

0:18:49.240 --> 0:18:51.639
<v Speaker 2>was working, but like you know, the system was terribly.

0:18:51.359 --> 0:18:54.360
<v Speaker 1>Dissigned, right, and that happened in twenty twenty one. Yeah,

0:18:54.640 --> 0:18:57.720
<v Speaker 1>this trade happened in twenty twenty two, so maybe maybe

0:18:58.200 --> 0:19:00.560
<v Speaker 1>maybe it's all fix, it's all fun. I thought it

0:19:00.600 --> 0:19:02.840
<v Speaker 1>was an interesting size and scope. So ultimately they were

0:19:02.880 --> 0:19:06.520
<v Speaker 1>fined seventy eight million dollars. And apparently when regulators were

0:19:06.560 --> 0:19:10.080
<v Speaker 1>thinking about how big the fine should actually be, they

0:19:10.080 --> 0:19:13.480
<v Speaker 1>were thinking about how much it cost them in part.

0:19:13.760 --> 0:19:19.680
<v Speaker 1>So basically, the Banks Delta one division had generated roughly

0:19:19.680 --> 0:19:21.920
<v Speaker 1>six hundred and twelve million dollars in the nine years

0:19:22.000 --> 0:19:24.960
<v Speaker 1>leading up to this trade, in average about sixty eight

0:19:24.960 --> 0:19:27.640
<v Speaker 1>million dollars a year, So you layer on the fines

0:19:27.680 --> 0:19:30.919
<v Speaker 1>and the trading losses from that day, and that trade

0:19:31.000 --> 0:19:34.359
<v Speaker 1>costs those desks nearly two years of revenue, which is

0:19:34.560 --> 0:19:39.439
<v Speaker 1>pretty painful. That's two years, two years and fourteen minutes.

0:19:39.640 --> 0:19:40.520
<v Speaker 2>That's so sad.

0:19:40.600 --> 0:19:41.440
<v Speaker 1>It is so sad.

0:19:41.560 --> 0:19:44.399
<v Speaker 2>It's so sad everything you work for and you put

0:19:44.600 --> 0:19:46.800
<v Speaker 2>like one number in the wrong box and it's like

0:19:46.840 --> 0:19:49.119
<v Speaker 2>it's all all goes up in flames.

0:19:49.119 --> 0:19:51.520
<v Speaker 1>I always think about that when you read stories like

0:19:51.560 --> 0:19:55.240
<v Speaker 1>this about someone who just makes a human accident, some

0:19:56.080 --> 0:20:00.480
<v Speaker 1>unintended pilot hour, no malicious intentions and just a all over.

0:20:00.520 --> 0:20:02.480
<v Speaker 1>And I always think about like the months in the

0:20:02.680 --> 0:20:06.120
<v Speaker 1>weeks leading up them going about their lives, not knowing

0:20:06.160 --> 0:20:09.800
<v Speaker 1>that this cataclysmic event was going to happen. And here

0:20:09.840 --> 0:20:12.400
<v Speaker 1>we are, and Bloomberg News has reported that this trader

0:20:12.920 --> 0:20:15.000
<v Speaker 1>doesn't work at City anymore. I'm not that.

0:20:15.040 --> 0:20:17.600
<v Speaker 2>Surprised, but I will say this fine and even this

0:20:17.720 --> 0:20:19.720
<v Speaker 2>loss are not about the trader putting the number in

0:20:19.720 --> 0:20:22.360
<v Speaker 2>the wrong box. Like this is a system design issue, right,

0:20:22.400 --> 0:20:24.240
<v Speaker 2>Like yeah, the problem here is like, yes, putting the

0:20:24.280 --> 0:20:27.000
<v Speaker 2>number in the wrong box, but like having a system that,

0:20:27.119 --> 0:20:30.800
<v Speaker 2>like the computer also got confused between the number of

0:20:30.920 --> 0:20:32.719
<v Speaker 2>shares on the dollar in a matter right the computer

0:20:32.880 --> 0:20:35.240
<v Speaker 2>was like, oh, yeah, they're all worth one dollar a share, right,

0:20:35.280 --> 0:20:38.919
<v Speaker 2>like wrongly, but then also like the after trade checks

0:20:38.920 --> 0:20:42.280
<v Speaker 2>were just not effective. Right in New York, they would

0:20:42.280 --> 0:20:46.520
<v Speaker 2>have blocked this trade automatically, even in London, Like if

0:20:46.520 --> 0:20:49.080
<v Speaker 2>you're popping up seven hundred and eleven error messages, it's

0:20:49.119 --> 0:20:51.160
<v Speaker 2>like maybe make a bigger run.

0:20:51.440 --> 0:20:54.440
<v Speaker 1>But all that being said, do you think that any

0:20:54.480 --> 0:20:57.760
<v Speaker 1>of the other banks who could potentially hire this trader

0:20:57.880 --> 0:20:59.280
<v Speaker 1>are thinking that way? Or are they?

0:21:00.000 --> 0:21:02.520
<v Speaker 2>I would hire this trader really, Yeah, that's not like

0:21:02.600 --> 0:21:03.680
<v Speaker 2>on the list of like.

0:21:03.960 --> 0:21:06.000
<v Speaker 1>Well, they're probably never going to do it again.

0:21:05.800 --> 0:21:08.560
<v Speaker 2>Right, One, they're never going to do it again, and

0:21:08.640 --> 0:21:12.080
<v Speaker 2>two like, look, obviously people care a lot about attention

0:21:12.119 --> 0:21:14.439
<v Speaker 2>to detail, but like there are other skills and like

0:21:14.520 --> 0:21:16.560
<v Speaker 2>probably everyone would mess this up once. It's just that

0:21:16.680 --> 0:21:18.840
<v Speaker 2>if they have better software to catch it, they won't

0:21:19.000 --> 0:21:21.320
<v Speaker 2>actually cost the bank one hundred million dollars.

0:21:21.560 --> 0:21:23.040
<v Speaker 1>Yeah, make better software.

0:21:23.960 --> 0:21:26.040
<v Speaker 2>I think that's the answer that this port trader. Now

0:21:26.080 --> 0:21:26.840
<v Speaker 2>I feel really bad.

0:21:27.400 --> 0:21:29.000
<v Speaker 1>Yeah, this was kind of a bummer.

0:21:29.280 --> 0:21:31.320
<v Speaker 2>I do think. The other thing that's amazing in this

0:21:31.400 --> 0:21:35.240
<v Speaker 2>case is that the risk managers who are there directly

0:21:35.280 --> 0:21:37.359
<v Speaker 2>responsible for oversight of this, like their job was to

0:21:37.400 --> 0:21:40.320
<v Speaker 2>catch this. They went on vacation eight minutes before the

0:21:40.359 --> 0:21:41.120
<v Speaker 2>trade happened.

0:21:41.400 --> 0:21:44.199
<v Speaker 1>That is wild. I mean just the timeline of this

0:21:44.240 --> 0:21:48.520
<v Speaker 1>whole thing, but the eight minutes that seems like almost unbelievable.

0:21:48.720 --> 0:21:50.720
<v Speaker 2>I'm exaggerating when I say they went on vacation. Like

0:21:50.880 --> 0:21:52.480
<v Speaker 2>what happened is that, like the handoff from like the

0:21:52.560 --> 0:21:55.040
<v Speaker 2>right team to the wrong team happened eight minutes before

0:21:55.080 --> 0:21:56.920
<v Speaker 2>this trade, which I think must mean that the right

0:21:56.920 --> 0:21:58.399
<v Speaker 2>team in like Asia was handing it off to the

0:21:58.440 --> 0:22:01.160
<v Speaker 2>wrong team in London because the damon London was out

0:22:01.160 --> 0:22:02.040
<v Speaker 2>for the bank holiday.

0:22:02.240 --> 0:22:05.280
<v Speaker 1>Yeah, but in any case, right, they probably sent that email,

0:22:05.960 --> 0:22:09.440
<v Speaker 1>slammed the Laptop show, and then they literally were on vacation.

0:22:09.280 --> 0:22:11.719
<v Speaker 2>So yeah, I wonder if they got controlled.

0:22:26.680 --> 0:22:29.480
<v Speaker 1>This is the section of this podcast that I have

0:22:29.560 --> 0:22:30.960
<v Speaker 1>the lowest expectations for.

0:22:31.440 --> 0:22:33.800
<v Speaker 2>Your nucleus accumbents is not lighting up with this one.

0:22:33.920 --> 0:22:35.560
<v Speaker 1>I was hoping they section of your.

0:22:35.440 --> 0:22:37.440
<v Speaker 2>Brain that anticipates rewards.

0:22:37.880 --> 0:22:41.440
<v Speaker 1>I did google that and the definition was something along

0:22:41.480 --> 0:22:43.879
<v Speaker 1>those lines, and then it said it was an incomplete definition.

0:22:43.960 --> 0:22:45.640
<v Speaker 1>To just think of it as like the reward center

0:22:45.680 --> 0:22:47.000
<v Speaker 1>of your brain. But I don't know what.

0:22:47.359 --> 0:22:49.840
<v Speaker 2>No, I have a much more nuanced understanding of the

0:22:49.920 --> 0:22:52.080
<v Speaker 2>nucleus accumbents, I will not share with you.

0:22:52.560 --> 0:22:57.480
<v Speaker 1>Very good, very well. So we're in this situation again

0:22:57.640 --> 0:23:01.800
<v Speaker 1>where we're recording this podcast before your or newsletter on

0:23:01.840 --> 0:23:05.000
<v Speaker 1>this topic has come out. I read the actual paper

0:23:05.520 --> 0:23:08.199
<v Speaker 1>and I got to say a lot of it was

0:23:08.880 --> 0:23:11.560
<v Speaker 1>beyond me. But why don't you tell us about this paper?

0:23:11.800 --> 0:23:15.360
<v Speaker 2>This is an incredible favor by basically business school professors

0:23:16.160 --> 0:23:19.400
<v Speaker 2>as opposed to medical school professors. But it's called brain

0:23:19.440 --> 0:23:22.840
<v Speaker 2>activity of professional investors signals future stock performance. So what

0:23:22.880 --> 0:23:24.600
<v Speaker 2>they did is they took a bunch of like Dutch

0:23:24.680 --> 0:23:27.520
<v Speaker 2>professional investors, like people who work at mutual funds, and

0:23:28.320 --> 0:23:32.960
<v Speaker 2>they popped them in an MRI machine and they showed

0:23:32.960 --> 0:23:36.760
<v Speaker 2>them slides of investment presentations about forty five stocks, and

0:23:36.760 --> 0:23:39.639
<v Speaker 2>they're all like historical. So they would show these like

0:23:40.400 --> 0:23:43.520
<v Speaker 2>sort of masked investment cases for a bunch of stocks

0:23:44.000 --> 0:23:46.880
<v Speaker 2>at like different times of the past ten years, and

0:23:47.240 --> 0:23:48.840
<v Speaker 2>they were like, what do you think would you buy

0:23:48.880 --> 0:23:50.800
<v Speaker 2>the stock right? Do you think the stock will up

0:23:50.840 --> 0:23:54.080
<v Speaker 2>perform its sector? The investors in the MRI machine either

0:23:54.119 --> 0:23:56.679
<v Speaker 2>said yes or no. And they also ran the MRIO

0:23:56.680 --> 0:23:58.760
<v Speaker 2>while they're doing this, and it turns out that the

0:23:58.840 --> 0:24:03.960
<v Speaker 2>investor's answers were worthless, Like they did not accurately predict

0:24:04.200 --> 0:24:06.960
<v Speaker 2>no better than chance's ability to predict whether the stocks

0:24:06.960 --> 0:24:11.320
<v Speaker 2>would go up or down. But their brains, their brains

0:24:12.000 --> 0:24:14.440
<v Speaker 2>did accurately predict whether the stocks would cover down, which

0:24:14.520 --> 0:24:16.840
<v Speaker 2>is to say that if you looked at like ridging,

0:24:16.880 --> 0:24:20.440
<v Speaker 2>their brain called the nucleus siccumbents, which is like sort

0:24:20.480 --> 0:24:24.040
<v Speaker 2>of the thing that anticipates rewards, right, it lit up

0:24:24.320 --> 0:24:27.879
<v Speaker 2>when they saw presentations about stocks that were going to

0:24:27.920 --> 0:24:32.120
<v Speaker 2>go up, so subconsciously they knew which stocks would go up,

0:24:32.359 --> 0:24:34.480
<v Speaker 2>even though consciously they did not know what stocks would

0:24:34.480 --> 0:24:34.800
<v Speaker 2>go up.

0:24:35.160 --> 0:24:39.439
<v Speaker 1>I do love that. It's amazing, but the how do

0:24:39.480 --> 0:24:40.119
<v Speaker 1>you apply it?

0:24:40.160 --> 0:24:42.800
<v Speaker 2>How do you possibly you put your portfolio manager in

0:24:42.840 --> 0:24:43.760
<v Speaker 2>an MRI all day?

0:24:43.880 --> 0:24:47.200
<v Speaker 1>That's it? Yes, I mean I think that that would

0:24:47.240 --> 0:24:51.280
<v Speaker 1>be a terrible a terrible existence.

0:24:51.320 --> 0:24:53.560
<v Speaker 2>But like if you made a lot of money.

0:24:53.600 --> 0:24:54.840
<v Speaker 1>Yeah, true, I mean.

0:24:54.880 --> 0:24:57.280
<v Speaker 2>If this really worked, by the way, I'm not you know,

0:24:58.000 --> 0:25:00.479
<v Speaker 2>I'm not so sure how well this really worked, but

0:25:00.600 --> 0:25:03.479
<v Speaker 2>it worked in some experimental design. But it's fascinating too

0:25:03.520 --> 0:25:06.280
<v Speaker 2>because like how could this work? Right? Like, how could

0:25:06.320 --> 0:25:09.440
<v Speaker 2>it be that you can subconsciously.

0:25:08.920 --> 0:25:12.160
<v Speaker 1>Just know which stocks secatifitely know, but you can't translate

0:25:12.200 --> 0:25:14.080
<v Speaker 1>that into an actionable decision.

0:25:14.400 --> 0:25:16.600
<v Speaker 2>Yeah. But so here's what I think the explanation is.

0:25:16.640 --> 0:25:19.160
<v Speaker 2>To the extent this is real in the introduction to paper,

0:25:19.200 --> 0:25:21.119
<v Speaker 2>they're like the other experiments like this, and one is

0:25:21.119 --> 0:25:23.639
<v Speaker 2>like a sort of famous. One is like you play

0:25:24.480 --> 0:25:29.000
<v Speaker 2>songs to people in an MRI, and the songs that

0:25:29.080 --> 0:25:32.560
<v Speaker 2>light up their brains in certain ways go on to

0:25:32.560 --> 0:25:35.679
<v Speaker 2>become hit songs. It sounds like people's brains instinctively know

0:25:35.720 --> 0:25:36.960
<v Speaker 2>it's going to be hit songs. Well that makes a

0:25:36.960 --> 0:25:39.440
<v Speaker 2>lot of sense, right, right, Like something about that song

0:25:39.880 --> 0:25:42.680
<v Speaker 2>instinctively like makes everyone like it, right, Like it lights

0:25:42.720 --> 0:25:44.320
<v Speaker 2>up a section of your brain, Like, of course that's

0:25:44.320 --> 0:25:46.160
<v Speaker 2>going to go on to be a hit. Right. Maybe

0:25:46.200 --> 0:25:48.960
<v Speaker 2>it's the same with stocks, right, It's like a meme

0:25:49.000 --> 0:25:52.800
<v Speaker 2>stock phenomenon, where like something about a stock makes these

0:25:52.840 --> 0:25:56.239
<v Speaker 2>investors like it, that's going to make other investors like it,

0:25:56.280 --> 0:25:58.440
<v Speaker 2>and so the stock will go up. Right. So that's

0:25:58.440 --> 0:26:00.919
<v Speaker 2>how it works. It has nothing to do with fundamental

0:26:01.000 --> 0:26:03.520
<v Speaker 2>financial analysis. It just has to do with something in

0:26:03.560 --> 0:26:06.240
<v Speaker 2>the shape of the stock makes people like it, and

0:26:06.280 --> 0:26:08.880
<v Speaker 2>stocks that people like go up because they buy them right,

0:26:09.560 --> 0:26:11.760
<v Speaker 2>And if you look at the paper, like the way

0:26:11.760 --> 0:26:14.600
<v Speaker 2>they present these investment cases to like the portfolio managers

0:26:14.600 --> 0:26:18.040
<v Speaker 2>in the MRI is like they show them the company description,

0:26:18.400 --> 0:26:21.400
<v Speaker 2>and they show them a price chart, and they show

0:26:21.440 --> 0:26:23.760
<v Speaker 2>them like a fundamentals page that's like a bunch of

0:26:23.800 --> 0:26:26.840
<v Speaker 2>like ratios and earnings information, and they show them news

0:26:26.880 --> 0:26:28.400
<v Speaker 2>they show them like summaries of It's like some news

0:26:28.400 --> 0:26:31.960
<v Speaker 2>items about the stocks. What actually lights up their brains

0:26:32.680 --> 0:26:36.359
<v Speaker 2>is just the description and the price chart. So like

0:26:36.960 --> 0:26:40.640
<v Speaker 2>the fundamental page worthless for the price chart. They see

0:26:40.640 --> 0:26:42.720
<v Speaker 2>the price chart and their brain lights up, like that's

0:26:42.760 --> 0:26:43.320
<v Speaker 2>a good sign.

0:26:43.520 --> 0:26:45.400
<v Speaker 1>People like lines, yeah, but.

0:26:45.400 --> 0:26:49.040
<v Speaker 2>Only some lines, right. The lines that make their brains

0:26:49.080 --> 0:26:51.359
<v Speaker 2>light up are the lines that will go up in

0:26:51.400 --> 0:26:53.919
<v Speaker 2>the future, right, Like the good looking lines are the

0:26:53.920 --> 0:26:56.639
<v Speaker 2>good stocks to buy. It's like technical analysis. If you

0:26:56.680 --> 0:26:58.439
<v Speaker 2>look at a chart and the chart makes you happy,

0:26:58.640 --> 0:27:00.240
<v Speaker 2>then it'll probably make other people happy, and so you

0:27:00.240 --> 0:27:01.000
<v Speaker 2>should buy that stock.

0:27:01.160 --> 0:27:04.359
<v Speaker 1>That is the best reason why technical analysis might be

0:27:04.440 --> 0:27:07.880
<v Speaker 1>real that I've heard. The only reason it's just good lines.

0:27:08.160 --> 0:27:12.879
<v Speaker 2>Technical analysis is like organized mass psychology. Right, It's like, oh,

0:27:12.920 --> 0:27:15.480
<v Speaker 2>this line shows that people like the stock, right, It's

0:27:15.480 --> 0:27:17.359
<v Speaker 2>not that weird to think that you could grasp that

0:27:17.400 --> 0:27:19.600
<v Speaker 2>at a pre conscious level, right where you would see

0:27:19.640 --> 0:27:22.680
<v Speaker 2>the lines and you don't know what the lines mean,

0:27:22.720 --> 0:27:24.720
<v Speaker 2>but like somewhere deep in your animal brain you're like,

0:27:24.720 --> 0:27:25.480
<v Speaker 2>oh that's a good stock.

0:27:25.640 --> 0:27:29.560
<v Speaker 1>You're here. Lizard brain activates, and that's basically the foundation

0:27:29.640 --> 0:27:34.240
<v Speaker 1>of technical analysis. I mean, again, who knows if any

0:27:34.280 --> 0:27:36.520
<v Speaker 1>of this is actually real? I feel like the only

0:27:36.520 --> 0:27:38.720
<v Speaker 1>way to really find out is if this was applied

0:27:38.760 --> 0:27:39.840
<v Speaker 1>at scale and we gave this.

0:27:39.960 --> 0:27:43.200
<v Speaker 2>Yeah, all you know academic finance paper is it's like okay,

0:27:43.280 --> 0:27:45.240
<v Speaker 2>sure that's an interesting result, but like what hedge funds

0:27:45.240 --> 0:27:45.960
<v Speaker 2>are implementing it?

0:27:46.080 --> 0:27:46.639
<v Speaker 1>Right? Yeah?

0:27:46.680 --> 0:27:49.840
<v Speaker 2>And like I don't know, like you could see Steve

0:27:49.960 --> 0:27:52.520
<v Speaker 2>copy like hmm right, Like that's like a thing.

0:27:52.400 --> 0:27:54.200
<v Speaker 1>That someone should send him this paper.

0:27:55.119 --> 0:27:55.960
<v Speaker 2>It's in money Stock.

0:27:56.040 --> 0:27:57.159
<v Speaker 1>Well I hope he read it.

0:27:57.600 --> 0:27:59.800
<v Speaker 2>I mean you probably have to pay a premium. But

0:27:59.840 --> 0:28:03.320
<v Speaker 2>like if there's some marginal investor who like can't quite

0:28:03.400 --> 0:28:06.280
<v Speaker 2>get a job as a portfolio manager at a top

0:28:06.320 --> 0:28:09.040
<v Speaker 2>multi strategy fund, but if you were in an MRI machine,

0:28:09.080 --> 0:28:10.960
<v Speaker 2>he could oh yeah, yeah.

0:28:10.760 --> 0:28:13.680
<v Speaker 1>I mean it's all in there. It was bright exactly.

0:28:13.680 --> 0:28:16.680
<v Speaker 1>He just he can't translate it. I will say it's

0:28:16.680 --> 0:28:18.840
<v Speaker 1>been a while since I read a paper like this,

0:28:18.960 --> 0:28:21.840
<v Speaker 1>and I always love methodology. And there were a few

0:28:21.920 --> 0:28:25.879
<v Speaker 1>charming details in here about the actual participants, Like you said,

0:28:25.920 --> 0:28:30.399
<v Speaker 1>they're from leading Dutch investment companies, thirty four participants. Only

0:28:30.480 --> 0:28:34.200
<v Speaker 1>one was a one. I noticed that immediately the mean

0:28:34.280 --> 0:28:35.440
<v Speaker 1>age was forty seven.

0:28:35.520 --> 0:28:37.719
<v Speaker 2>You want to do that experiment better, right, But like

0:28:37.960 --> 0:28:40.080
<v Speaker 2>I would be interested in doing this experiment because these

0:28:40.080 --> 0:28:42.800
<v Speaker 2>are all like Dutch professional money maners. Yeah, I'm interested

0:28:42.840 --> 0:28:45.600
<v Speaker 2>in doing it on day traders right. Oh yeah, because

0:28:45.600 --> 0:28:47.800
<v Speaker 2>the thing that is happening here is not like deep

0:28:47.840 --> 0:28:50.240
<v Speaker 2>fundamental analysis, right. Something that's happening here is like, oh

0:28:50.320 --> 0:28:52.520
<v Speaker 2>that line looks good. Maybe like a random amateur would

0:28:52.520 --> 0:28:53.160
<v Speaker 2>be just as good.

0:28:53.360 --> 0:28:55.640
<v Speaker 1>Yeah, that's true. We should try it on all different

0:28:55.680 --> 0:28:59.520
<v Speaker 1>members of the population. I also thought this was cute.

0:28:59.600 --> 0:29:03.880
<v Speaker 1>So participants received no compensation, but whoever was the most

0:29:03.920 --> 0:29:06.680
<v Speaker 1>accurate in predicting stock outcomes would be awarded a prize

0:29:06.680 --> 0:29:09.520
<v Speaker 1>of five hundred euros. There were two winners, so that

0:29:09.560 --> 0:29:11.560
<v Speaker 1>they had to split the prize. They each got two

0:29:11.680 --> 0:29:15.800
<v Speaker 1>hundred and fifty euros for all told, this lasted eighty

0:29:15.800 --> 0:29:19.040
<v Speaker 1>five minutes, so that's a pretty good return on your time.

0:29:19.840 --> 0:29:22.840
<v Speaker 2>I mean I don't know. I mean probably you're like

0:29:23.120 --> 0:29:25.600
<v Speaker 2>a one in like thirty chance that two hundred and

0:29:25.600 --> 0:29:28.160
<v Speaker 2>fifty euros for an hour and a half at an MRI, Like.

0:29:28.080 --> 0:29:30.000
<v Speaker 1>I don't know, I would do it. Tell it's a.

0:29:29.920 --> 0:29:32.520
<v Speaker 2>Professional money manager's like their day job is picking slacks

0:29:32.520 --> 0:29:34.000
<v Speaker 2>that will go up and they get paid more than that.

0:29:33.960 --> 0:29:35.960
<v Speaker 1>For Yeah, but it sounds like they're not too good

0:29:35.960 --> 0:29:36.200
<v Speaker 1>at that.

0:29:46.080 --> 0:29:47.520
<v Speaker 2>And that was The Money Stuff Podcast.

0:29:47.680 --> 0:29:49.680
<v Speaker 1>I'm Matt Levian and I'm Katie Greifeld.

0:29:50.240 --> 0:29:52.280
<v Speaker 2>You can find my work by subscribing to the money

0:29:52.320 --> 0:29:54.200
<v Speaker 2>Stuff newsletter on Bloomberg.

0:29:53.760 --> 0:29:56.120
<v Speaker 1>Dot com, and you can find me on Bloomberg TV

0:29:56.240 --> 0:29:58.600
<v Speaker 1>every day between ten to eleven am Eastern.

0:29:59.200 --> 0:30:01.360
<v Speaker 2>We'd love to hear You can send an email to

0:30:01.560 --> 0:30:04.600
<v Speaker 2>Moneypot at Bloomberg dot net, ask us a question and

0:30:04.600 --> 0:30:05.640
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0:30:06.560 --> 0:30:08.760
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0:30:12.760 --> 0:30:15.560
<v Speaker 2>The Money Stuff Podcast is produced by Anna Maserakus and

0:30:15.600 --> 0:30:16.719
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0:30:16.760 --> 0:30:18.400
<v Speaker 1>Theme music was composed by Blake.

0:30:18.280 --> 0:30:21.840
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0:30:21.800 --> 0:30:23.960
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0:30:24.480 --> 0:30:26.800
<v Speaker 2>Thanks for listening to the Money Stuff Podcast. We'll be

0:30:26.880 --> 0:30:28.400
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