1 00:00:02,440 --> 00:00:03,560 Speaker 1: Also media. 2 00:00:04,400 --> 00:00:07,040 Speaker 2: Welcome to Better Offline. I am, of course your host 3 00:00:07,200 --> 00:00:21,599 Speaker 2: ed Zeitron. Now we're back in the studio in beautiful 4 00:00:21,640 --> 00:00:25,080 Speaker 2: New York City, New York State. You need to check 5 00:00:25,079 --> 00:00:27,120 Speaker 2: out the show notes. Of course, we have these beautiful 6 00:00:27,200 --> 00:00:30,440 Speaker 2: fuck Data Center t shirts. Subscribe to my newsletter and 7 00:00:30,440 --> 00:00:32,839 Speaker 2: so on and so forth. But today joining me at 8 00:00:32,880 --> 00:00:37,480 Speaker 2: Swaggage Claim are two of Barons's finest reporters, the legendary 9 00:00:37,560 --> 00:00:39,880 Speaker 2: Nick Dever who handles the gambling industry, and the Wall 10 00:00:39,920 --> 00:00:44,120 Speaker 2: Street reporting legend Rebecca Ungarno. Thank you so much for 11 00:00:44,200 --> 00:00:48,639 Speaker 2: joining us now, Nick, Yes, we have had so many 12 00:00:48,680 --> 00:00:51,199 Speaker 2: people emailing about prediction markets, and you cover the gambling 13 00:00:51,200 --> 00:00:53,880 Speaker 2: industry as well. How are they different? How are they 14 00:00:53,960 --> 00:00:56,960 Speaker 2: not the same thing, because they very much seem similar. Yeah. 15 00:00:57,040 --> 00:00:59,760 Speaker 3: I think from a consumer point of view, there's very 16 00:01:00,360 --> 00:01:05,199 Speaker 3: difference between these products. You put money on the line, 17 00:01:05,360 --> 00:01:09,000 Speaker 3: if your team wins, you get paid out. So from 18 00:01:09,120 --> 00:01:10,920 Speaker 3: like a layman's point of view, I think there's very 19 00:01:10,920 --> 00:01:15,800 Speaker 3: little difference. However, there is a difference on a gambling 20 00:01:16,160 --> 00:01:19,400 Speaker 3: In gambling, you're betting against the house, so the betting 21 00:01:19,440 --> 00:01:23,320 Speaker 3: firm sets the odds that you're betting against, right whereas 22 00:01:23,440 --> 00:01:27,720 Speaker 3: in a prediction market, your counter party is another trader. 23 00:01:28,040 --> 00:01:32,120 Speaker 3: So trader or prediction markets are just essentially brokers that 24 00:01:32,160 --> 00:01:35,319 Speaker 3: are putting two traders together on one contract. And I 25 00:01:35,360 --> 00:01:37,440 Speaker 3: can explain that in a little more detail. 26 00:01:37,200 --> 00:01:38,080 Speaker 2: If you like, please. 27 00:01:38,360 --> 00:01:41,640 Speaker 3: So prediction markets sell what are called event contracts. So 28 00:01:41,680 --> 00:01:45,080 Speaker 3: event contracts are futures contracts. They're also called binary options, 29 00:01:45,360 --> 00:01:48,480 Speaker 3: and they're built around yes or no questions. So each 30 00:01:48,560 --> 00:01:51,400 Speaker 3: contract is worth one dollar, and it has two traders. 31 00:01:51,640 --> 00:01:53,520 Speaker 3: There's a trader on the yes side and there's a 32 00:01:53,560 --> 00:01:57,280 Speaker 3: trader on the no side. So like, will this podcast 33 00:01:57,400 --> 00:01:59,760 Speaker 3: go well, we can make that a prediction market. I hope, 34 00:02:00,000 --> 00:02:00,760 Speaker 3: I hope it goes well. 35 00:02:01,000 --> 00:02:04,200 Speaker 2: Let's get this. I'm just set that up right now. Yeah, yeah, yeah, yeah. 36 00:02:04,240 --> 00:02:07,440 Speaker 3: So if person A thinks there's a seventy five percent 37 00:02:07,520 --> 00:02:10,200 Speaker 3: chance that it will go well, and person B thinks 38 00:02:10,240 --> 00:02:12,800 Speaker 3: there's a twenty five percent chance that it will not 39 00:02:12,960 --> 00:02:16,480 Speaker 3: go well, person A pays seventy five cents and person 40 00:02:16,560 --> 00:02:20,079 Speaker 3: B pays twenty five cents. Right, So if it turns 41 00:02:20,080 --> 00:02:23,720 Speaker 3: out yes, the yes trader gets the twenty five cents 42 00:02:23,760 --> 00:02:26,560 Speaker 3: put up by the no trader and makes and now 43 00:02:26,600 --> 00:02:30,280 Speaker 3: has a dollar contract. Now, let's say on a second contract, 44 00:02:30,520 --> 00:02:33,600 Speaker 3: person C thinks there's a twenty five percent chance of yes, 45 00:02:33,919 --> 00:02:36,720 Speaker 3: person D thinks there's a seventy five percent chance of no. 46 00:02:37,040 --> 00:02:40,399 Speaker 3: So these two contracts where the odds are flipped average out, 47 00:02:40,480 --> 00:02:43,000 Speaker 3: and there's a fifty to fifty chance that this podcast 48 00:02:43,200 --> 00:02:46,600 Speaker 3: goes well, right, right, So the price of the contract 49 00:02:46,840 --> 00:02:50,480 Speaker 3: is the predictions, and prediction markets are just brokers. The 50 00:02:50,520 --> 00:02:52,520 Speaker 3: businesses themselves are just connecting to trades. 51 00:02:52,560 --> 00:02:55,520 Speaker 2: So where's the crypto side as well? Because I remember 52 00:02:55,560 --> 00:02:59,080 Speaker 2: when polymarkets started it was a weird crypto thing. But 53 00:02:59,200 --> 00:02:59,840 Speaker 2: is it still that? 54 00:03:00,280 --> 00:03:03,040 Speaker 3: Yeah, I would say it's still a weird crypto thing. 55 00:03:03,720 --> 00:03:07,280 Speaker 3: They most of their business is still their international side 56 00:03:07,639 --> 00:03:10,679 Speaker 3: where they just take I think it's US d T, 57 00:03:11,360 --> 00:03:14,480 Speaker 3: it's some stable coin of that. They all of the 58 00:03:14,480 --> 00:03:17,919 Speaker 3: contracts are traded on that. That's poly Market. They're an 59 00:03:17,919 --> 00:03:22,200 Speaker 3: offshore run company. Yeah, offshore meaning right, yeah, I love this, 60 00:03:22,320 --> 00:03:25,800 Speaker 3: yeah yeah, meaning not regulated in the US, not a 61 00:03:25,919 --> 00:03:31,200 Speaker 3: US US based company. Contrast that with Calshi. Calshi was 62 00:03:31,240 --> 00:03:36,400 Speaker 3: the first registered designated contract market by the CFTC that's 63 00:03:36,440 --> 00:03:40,480 Speaker 3: the Commodity Futures Trading Commission. They regulate all of this stuff, 64 00:03:41,240 --> 00:03:44,720 Speaker 3: and so Calshi was the first firm to actually do 65 00:03:44,800 --> 00:03:48,080 Speaker 3: this in what we would call like the legal way, 66 00:03:48,400 --> 00:03:52,600 Speaker 3: whereas poly Market does not have to abide by the 67 00:03:52,760 --> 00:03:57,120 Speaker 3: US regulations because they are not a US firm and 68 00:03:57,120 --> 00:04:00,640 Speaker 3: they're trying to become They've gotten permissioned to operate in 69 00:04:00,680 --> 00:04:04,160 Speaker 3: the US, but they're like slowly rolling that out. A 70 00:04:04,160 --> 00:04:08,240 Speaker 3: lot of people in the US don't have Polymarket US accounts. Yeah, 71 00:04:08,280 --> 00:04:10,520 Speaker 3: if you want to trade on poly Market in the US, 72 00:04:10,760 --> 00:04:12,680 Speaker 3: you're mostly using a VPN. 73 00:04:12,400 --> 00:04:15,040 Speaker 2: A new zone, but you unique crypto to do it. Yes. Yeah. 74 00:04:15,120 --> 00:04:17,359 Speaker 3: For the international site, this feel was. 75 00:04:17,440 --> 00:04:20,279 Speaker 2: Like it be rife with manipulation though. 76 00:04:20,279 --> 00:04:25,880 Speaker 3: Yeah, yeah, definitely I think that there because poly market operates, 77 00:04:25,880 --> 00:04:29,919 Speaker 3: you know, on the blockchain, it's generally all anonymous, and 78 00:04:29,960 --> 00:04:32,640 Speaker 3: it's very easy to get any kind of market you 79 00:04:32,760 --> 00:04:36,039 Speaker 3: want created, there's a lot of concern around manipulation. I 80 00:04:36,040 --> 00:04:39,600 Speaker 3: think A helpful example is there was some football game 81 00:04:40,000 --> 00:04:42,479 Speaker 3: or some sporting event, and there was a market for 82 00:04:42,920 --> 00:04:45,840 Speaker 3: will someone streak at this event, you know, run onto 83 00:04:45,839 --> 00:04:50,080 Speaker 3: the field naked, and someone did end up streaking, and 84 00:04:50,200 --> 00:04:53,839 Speaker 3: the person that ended up streaking was someone who was 85 00:04:53,920 --> 00:04:57,000 Speaker 3: trading on the market, you know, betting yes that someone 86 00:04:57,040 --> 00:04:59,000 Speaker 3: would end up streaking, and then they went and did it, 87 00:04:59,040 --> 00:05:01,520 Speaker 3: and so they made you know, hundreds of thousands of dollars, 88 00:05:01,600 --> 00:05:05,240 Speaker 3: paid a small fine relative to the sporting people. And 89 00:05:05,279 --> 00:05:07,839 Speaker 3: you know, now we have so you get into this question. 90 00:05:07,960 --> 00:05:11,400 Speaker 3: I think a hopeful metaphor is like our prediction markets, 91 00:05:11,839 --> 00:05:15,640 Speaker 3: a thermostat or a thermometer. Are they like accurately pricing 92 00:05:16,080 --> 00:05:19,640 Speaker 3: the potential outcome? You know, are they saying that something 93 00:05:19,720 --> 00:05:22,800 Speaker 3: is going to happen? Or by their very existence do 94 00:05:22,839 --> 00:05:25,120 Speaker 3: they make something more likely to happen? 95 00:05:25,680 --> 00:05:28,760 Speaker 2: Right, Rebecca, How's how are the banker's dealing with this? 96 00:05:28,800 --> 00:05:32,560 Speaker 2: How's Wall Street looking at this? Because this it's tough 97 00:05:32,600 --> 00:05:36,360 Speaker 2: to really grosp whether this is gambling or a futures contract, 98 00:05:36,440 --> 00:05:38,719 Speaker 2: like banging on the chance of stock will go up, 99 00:05:38,760 --> 00:05:40,120 Speaker 2: will go down, And. 100 00:05:40,080 --> 00:05:41,640 Speaker 1: There's such a big difference right now. 101 00:05:42,800 --> 00:05:45,200 Speaker 4: It's really interesting because the banks themselves, and this is 102 00:05:45,240 --> 00:05:47,960 Speaker 4: separate from like the market makers or like you know, 103 00:05:48,080 --> 00:05:51,640 Speaker 4: higher frequency trading firms. The banks themselves are very highly 104 00:05:51,640 --> 00:05:55,280 Speaker 4: regulated by like three main agencies, the OCC the Office 105 00:05:55,320 --> 00:05:58,120 Speaker 4: of the Controller of the Currency, the Federal Reserve, and 106 00:05:58,160 --> 00:06:01,080 Speaker 4: the FD I see. So they're how they regulated, and 107 00:06:01,120 --> 00:06:03,080 Speaker 4: then they have a bunch of like state agencies that 108 00:06:03,160 --> 00:06:07,400 Speaker 4: regulate them too. So far, the biggest banks have stayed 109 00:06:07,440 --> 00:06:11,320 Speaker 4: pretty quiet on how they're thinking about these and they're 110 00:06:11,360 --> 00:06:14,320 Speaker 4: you know, kind of waiting for this regulatory you know clarity. 111 00:06:14,600 --> 00:06:17,000 Speaker 4: It reminds me a little bit of you know, bitcoin 112 00:06:17,080 --> 00:06:19,839 Speaker 4: and crypto going mainstream, you know, ten eleven years ago, 113 00:06:20,400 --> 00:06:23,799 Speaker 4: we're waiting for regulators. We're waiting for regulators, and banks 114 00:06:23,800 --> 00:06:25,520 Speaker 4: are They're really complex. They have a bunch of different 115 00:06:25,520 --> 00:06:28,600 Speaker 4: businesses where they could come in and you know, for example, 116 00:06:28,600 --> 00:06:31,760 Speaker 4: on the banking side, the investment bankers, you know, have 117 00:06:31,800 --> 00:06:33,600 Speaker 4: an interest in well, do we want to help them 118 00:06:33,640 --> 00:06:35,400 Speaker 4: raise money? Do we want to help them raise capital 119 00:06:35,640 --> 00:06:36,480 Speaker 4: or take them public? 120 00:06:36,640 --> 00:06:40,599 Speaker 2: Oh, they're touching any of the fundraising. 121 00:06:40,680 --> 00:06:43,560 Speaker 4: They they could my understanding, you would know better than me. 122 00:06:43,600 --> 00:06:45,840 Speaker 4: On Calsham and poly Market who their investors are. Is 123 00:06:45,839 --> 00:06:47,120 Speaker 4: a VC is a PE? 124 00:06:47,480 --> 00:06:50,760 Speaker 3: Yeah, it's I think it's mostly vcs right now. But 125 00:06:50,880 --> 00:06:53,080 Speaker 3: they're both targeting There was recent reporting in the Wall 126 00:06:53,080 --> 00:06:55,640 Speaker 3: Street Journal that they're both poly Market and Calshi are 127 00:06:55,640 --> 00:06:57,960 Speaker 3: targeting twenty billion dollar valuations. 128 00:06:58,440 --> 00:07:01,800 Speaker 1: Now it's just crazy, just totally totally business though. 129 00:07:02,080 --> 00:07:04,120 Speaker 3: Yeah, that's that's kind of the thing is there's not 130 00:07:04,480 --> 00:07:07,760 Speaker 3: like the there's not a lot of difference between trading 131 00:07:07,800 --> 00:07:10,160 Speaker 3: on poly market and trading on CALSHI, Like you're trading 132 00:07:10,200 --> 00:07:14,560 Speaker 3: the same kind of the same contract and in effect, 133 00:07:14,640 --> 00:07:17,440 Speaker 3: like it's the same kind of product that's being traded. 134 00:07:17,840 --> 00:07:20,320 Speaker 3: So you kind of get into a similar thing that 135 00:07:20,360 --> 00:07:23,240 Speaker 3: the sports betting businesses had to deal with, where fan 136 00:07:23,320 --> 00:07:27,040 Speaker 3: duel and draft kings are essentially you know, identical products 137 00:07:27,400 --> 00:07:32,000 Speaker 3: selling you know, identical products and trying to differentiate themselves. 138 00:07:32,040 --> 00:07:34,560 Speaker 3: And so we'll see in the coming months how how 139 00:07:34,600 --> 00:07:37,040 Speaker 3: that ends up working, Rebecca, on the on the. 140 00:07:37,600 --> 00:07:39,160 Speaker 4: Go ahead, we'll be usually well, I mean, and on 141 00:07:39,200 --> 00:07:40,920 Speaker 4: the trading side, it's a whole other like on the 142 00:07:40,960 --> 00:07:43,880 Speaker 4: other side of the house exactly. Yeah, And like at 143 00:07:43,920 --> 00:07:46,040 Speaker 4: the bank, so like you know, these massive trading businesses. 144 00:07:46,720 --> 00:07:48,560 Speaker 4: It's so some of the reporting that we have so 145 00:07:48,640 --> 00:07:50,440 Speaker 4: far and we're you know, working on this now and 146 00:07:50,520 --> 00:07:53,080 Speaker 4: again the banks are being very tight lept on what 147 00:07:53,120 --> 00:07:55,640 Speaker 4: they're saying about what they're getting involved in or not 148 00:07:55,640 --> 00:08:00,000 Speaker 4: getting involved in. This is something that so the investment banks, 149 00:08:00,040 --> 00:08:03,240 Speaker 4: they're like the bankers, the trading desks and then the 150 00:08:03,320 --> 00:08:06,240 Speaker 4: research and that's totally separate, and there's like this firewall, right, 151 00:08:06,520 --> 00:08:09,880 Speaker 4: so research analysts are definitely like looking at these things 152 00:08:09,920 --> 00:08:13,200 Speaker 4: just like any other input, any other source of information. 153 00:08:13,440 --> 00:08:16,000 Speaker 4: Of course, it's yes, there are differences, but it's like, okay, 154 00:08:16,000 --> 00:08:18,160 Speaker 4: well what is cal she saying about this when you know, 155 00:08:18,200 --> 00:08:23,640 Speaker 4: maybe a commodity's analyst who's looking at exactly exactly and 156 00:08:23,720 --> 00:08:27,160 Speaker 4: just another input to look at. So that's all well 157 00:08:27,200 --> 00:08:29,320 Speaker 4: and good. You can look at that. On the trading side, though, 158 00:08:29,320 --> 00:08:32,560 Speaker 4: it's more complicated because again the CFTC, like Nick brought up, 159 00:08:32,600 --> 00:08:36,319 Speaker 4: the Commodity Futures and Trading Commission that you know regulates 160 00:08:36,360 --> 00:08:38,920 Speaker 4: crypto and you know, is now regulating some of these 161 00:08:38,920 --> 00:08:41,839 Speaker 4: prediction marked auctivities. They have to weigh in and they 162 00:08:41,880 --> 00:08:44,040 Speaker 4: have you know, to some extent, but they're waiting for 163 00:08:44,200 --> 00:08:47,880 Speaker 4: kind of a more complete look at Okay, golden sacks, 164 00:08:47,960 --> 00:08:51,360 Speaker 4: you know, traders or enter any other like big bank traders, 165 00:08:51,400 --> 00:08:55,120 Speaker 4: Like what are we able to trade now? That is 166 00:08:55,160 --> 00:08:57,880 Speaker 4: still kind of out there, right. There are event contracts 167 00:08:57,920 --> 00:09:01,760 Speaker 4: like political elections and you know, things like that quote 168 00:09:01,840 --> 00:09:05,120 Speaker 4: event contracts, right, and then there are other markets where 169 00:09:05,600 --> 00:09:09,320 Speaker 4: on securities where it's like uh, that culture polymarket. 170 00:09:09,120 --> 00:09:12,160 Speaker 3: Market you can you can do like will and video 171 00:09:12,240 --> 00:09:15,080 Speaker 3: stock end the day up or down right, And this 172 00:09:15,120 --> 00:09:17,359 Speaker 3: is something that is happening every day. 173 00:09:17,360 --> 00:09:18,320 Speaker 1: Right exactly. 174 00:09:18,360 --> 00:09:20,360 Speaker 4: And that's a little more complicated because then you are 175 00:09:20,400 --> 00:09:23,080 Speaker 4: dealing with securities rather than just like some amorphis like 176 00:09:23,120 --> 00:09:23,920 Speaker 4: event contract. 177 00:09:24,040 --> 00:09:26,840 Speaker 2: So it's like complicated, but legally speaking that I'm sure 178 00:09:26,880 --> 00:09:29,240 Speaker 2: someone will argue, well, this isn't a security because I'm 179 00:09:29,280 --> 00:09:31,480 Speaker 2: betting on an outcome rather than scary itself. 180 00:09:31,760 --> 00:09:33,640 Speaker 1: Totally, totally, totally. 181 00:09:33,400 --> 00:09:35,880 Speaker 2: Also set us up for something kind of dystopian though, 182 00:09:36,000 --> 00:09:40,480 Speaker 2: if these if banks or traders start trading on these 183 00:09:40,520 --> 00:09:43,360 Speaker 2: markets where you have some of the bank interest and 184 00:09:43,400 --> 00:09:46,559 Speaker 2: whether I don't know, a guy streaks ye oh, whether 185 00:09:47,080 --> 00:09:49,480 Speaker 2: a place gets blown up, like this is where I 186 00:09:49,520 --> 00:09:51,600 Speaker 2: think the fringes of insanity begin. 187 00:09:52,640 --> 00:09:55,280 Speaker 4: Definitely completely, and I just like I'll want you to 188 00:09:55,320 --> 00:09:57,640 Speaker 4: weigh in or yeah, yeah, yeah, but like it just 189 00:09:57,720 --> 00:10:01,280 Speaker 4: opens a whole new for banks that are so regulated. Yeah, 190 00:10:01,320 --> 00:10:03,680 Speaker 4: it opens up a whole new source of like potential 191 00:10:03,760 --> 00:10:05,760 Speaker 4: liability and like you've done more reporting on. 192 00:10:05,800 --> 00:10:08,760 Speaker 3: That, yeah, yeah, we've we've from what we've heard there, 193 00:10:08,920 --> 00:10:12,000 Speaker 3: the banks are not as interested in those kinds of 194 00:10:12,240 --> 00:10:15,440 Speaker 3: markets just because there's no like, you know, they don't 195 00:10:15,440 --> 00:10:18,240 Speaker 3: have an election every single day, and like these destinies 196 00:10:18,280 --> 00:10:19,599 Speaker 3: to make money, right, so there needs to be like 197 00:10:19,640 --> 00:10:24,600 Speaker 3: a sustainable, constant kind of liquidity and like enough events 198 00:10:24,640 --> 00:10:28,240 Speaker 3: for them to actually you know, participate in the markets 199 00:10:28,320 --> 00:10:31,920 Speaker 3: and the kind of like securities related markets that maybe 200 00:10:31,920 --> 00:10:33,680 Speaker 3: these banks would be more interested in that they would 201 00:10:33,679 --> 00:10:36,240 Speaker 3: have a better edge on whatever. Those are still mostly 202 00:10:36,280 --> 00:10:40,560 Speaker 3: on poly market, and I really doubt that you know, 203 00:10:40,720 --> 00:10:43,760 Speaker 3: a tightly regulated like US based bank is going to 204 00:10:43,800 --> 00:10:46,800 Speaker 3: want to be trading like in stable coin, like on 205 00:10:46,880 --> 00:10:50,000 Speaker 3: poly market against you know, potential insiders all of this stuff. 206 00:10:50,000 --> 00:10:53,240 Speaker 3: That just doesn't sound like appealing, I would imagine. 207 00:10:53,400 --> 00:10:57,800 Speaker 2: But what about asset like the areas of the world, 208 00:10:58,000 --> 00:11:01,240 Speaker 2: or like private equity vms or private credit firms? Aren't 209 00:11:01,280 --> 00:11:05,280 Speaker 2: they different? And might they be dumb? Like might they 210 00:11:05,320 --> 00:11:08,040 Speaker 2: get them? Might they get themselves involved in I just 211 00:11:08,160 --> 00:11:10,000 Speaker 2: like yeah, yeah, yeah, yeah. When I see the data 212 00:11:10,040 --> 00:11:12,280 Speaker 2: center stuff, when I hear in this private credit the 213 00:11:12,320 --> 00:11:14,559 Speaker 2: private credit stuff with like tricula and first brands and 214 00:11:14,600 --> 00:11:18,200 Speaker 2: positive gen and uh, I forget whatever was it was 215 00:11:18,200 --> 00:11:20,240 Speaker 2: the there was the one there's now one in Europe 216 00:11:20,240 --> 00:11:22,560 Speaker 2: where that's us. Yeah. Yeah, the random Onneswer is just 217 00:11:22,600 --> 00:11:25,360 Speaker 2: like yeah, you know when we said we promised you 218 00:11:25,400 --> 00:11:29,640 Speaker 2: this collateral, we also promised it to seventeen other people. Sorry. Yeah, 219 00:11:29,720 --> 00:11:32,640 Speaker 2: I worry that they are going to start, like are 220 00:11:32,679 --> 00:11:34,880 Speaker 2: they allowed to It's. 221 00:11:34,720 --> 00:11:38,320 Speaker 4: A great question and my reporting and it's a great storage. 222 00:11:38,360 --> 00:11:42,400 Speaker 4: It's a great question. I'm not entirely sure like where, if, 223 00:11:42,440 --> 00:11:45,280 Speaker 4: and how they're coming into these things. In other words, 224 00:11:45,480 --> 00:11:47,320 Speaker 4: I wouldn't be surprised. I don't know, but I wouldn't 225 00:11:47,360 --> 00:11:50,119 Speaker 4: be surprised if one of the big private credit players, 226 00:11:50,280 --> 00:11:52,959 Speaker 4: which is again like some of these things are they 227 00:11:52,960 --> 00:11:56,360 Speaker 4: are just very lightly regulated banks, like to be clear, right, 228 00:11:56,480 --> 00:11:59,240 Speaker 4: like they are lending money like and private credit. 229 00:11:59,320 --> 00:12:01,359 Speaker 1: Yes, it is a huge put. 230 00:12:01,360 --> 00:12:02,920 Speaker 2: So cool, so good. 231 00:12:03,520 --> 00:12:04,000 Speaker 1: I love that. 232 00:12:04,600 --> 00:12:07,920 Speaker 4: It's a huge debate right now, like is private credit 233 00:12:07,920 --> 00:12:09,319 Speaker 4: means a lot of different things whatever, But at the 234 00:12:09,400 --> 00:12:11,320 Speaker 4: end of the day, it is lending outside of the 235 00:12:11,320 --> 00:12:14,120 Speaker 4: banking system, Okay, like that that is safe to say. 236 00:12:14,679 --> 00:12:17,120 Speaker 4: So I don't know, but I wouldn't be surprised if 237 00:12:17,120 --> 00:12:20,240 Speaker 4: there's you know, like a calshie like a polymarket, if 238 00:12:20,280 --> 00:12:22,160 Speaker 4: there is you know, kind of lending from these firms. 239 00:12:22,240 --> 00:12:25,080 Speaker 4: I don't know, but they are becoming the private credit 240 00:12:25,360 --> 00:12:27,520 Speaker 4: you know, players are becoming so much more active in 241 00:12:27,559 --> 00:12:31,360 Speaker 4: the private sector, and and just all these private, privately 242 00:12:31,400 --> 00:12:34,960 Speaker 4: held companies where there's a whole matrix of like areas 243 00:12:35,000 --> 00:12:38,160 Speaker 4: where they could become involved. I don't know that, and 244 00:12:38,200 --> 00:12:41,680 Speaker 4: I would be curious, but it's probably an input that 245 00:12:41,679 --> 00:12:45,880 Speaker 4: they're looking at too, like just a research you know, input, right, 246 00:12:46,000 --> 00:12:48,960 Speaker 4: Like you know, we like we look at oh, what 247 00:12:49,000 --> 00:12:50,880 Speaker 4: is it saying about that we take about the grain 248 00:12:50,920 --> 00:12:52,520 Speaker 4: of salt, But like, you know, it's still something we're 249 00:12:52,559 --> 00:12:54,320 Speaker 4: going to look at. But it's an interesting question. 250 00:12:54,600 --> 00:12:57,400 Speaker 3: They are the predictions, yeah, sorry, they are. They are 251 00:12:57,559 --> 00:13:01,319 Speaker 3: quite accurate. The you know, there's you know, we can 252 00:13:01,600 --> 00:13:03,520 Speaker 3: there can be arguments made about whether or not they 253 00:13:03,840 --> 00:13:06,200 Speaker 3: are like good for society, whether it's like an okay 254 00:13:06,240 --> 00:13:09,280 Speaker 3: thing that we can bet on, you know, every single 255 00:13:09,360 --> 00:13:13,000 Speaker 3: kind of I think the the CAUSHI CEO trect Mansur 256 00:13:13,120 --> 00:13:14,800 Speaker 3: his quote is that you know, we want to make 257 00:13:14,840 --> 00:13:19,480 Speaker 3: a monetizable asset out of every difference in opinion Jesus. 258 00:13:19,120 --> 00:13:23,080 Speaker 2: Christ, which is like that's like, yeah, the paraphrase Will 259 00:13:23,120 --> 00:13:25,360 Speaker 2: Manicer of Chapo when he was seeing a video of 260 00:13:25,400 --> 00:13:27,440 Speaker 2: a new sport with two guys run into each other. 261 00:13:28,840 --> 00:13:31,000 Speaker 2: You see, this is the kind of thing you do 262 00:13:31,040 --> 00:13:31,400 Speaker 2: in like. 263 00:13:31,920 --> 00:13:35,280 Speaker 1: Robo call, that's what it's giving. 264 00:13:35,679 --> 00:13:40,679 Speaker 2: It's like, yeah, we could very like near future dystopian. Well, 265 00:13:40,880 --> 00:13:42,880 Speaker 2: someone who spends a lot of time lives in Vegas. 266 00:13:42,960 --> 00:13:44,680 Speaker 2: I just want to say, this is an insult to 267 00:13:44,679 --> 00:13:48,960 Speaker 2: my beautiful gambling. Yeah, beautiful honest dice roll even all 268 00:13:49,000 --> 00:13:54,400 Speaker 2: crapsless craps and not this crappy. Yeah, it's it's very strange, 269 00:13:54,520 --> 00:13:55,960 Speaker 2: and I think we've discussed. 270 00:13:55,640 --> 00:13:57,200 Speaker 4: That's a new state motto. By the way, I really 271 00:13:57,280 --> 00:13:59,679 Speaker 4: like that our craps are not this crappy. 272 00:14:00,280 --> 00:14:01,040 Speaker 1: I love that. 273 00:14:00,760 --> 00:14:03,640 Speaker 2: I'm gonna rush into that T shirt. 274 00:14:03,720 --> 00:14:04,079 Speaker 1: I love that. 275 00:14:04,280 --> 00:14:07,720 Speaker 2: No, it's it is really scary though. Someone. I feel 276 00:14:07,720 --> 00:14:09,760 Speaker 2: like someone's going to die from this, Like it's gonna 277 00:14:09,800 --> 00:14:12,480 Speaker 2: it's gonna be this person dies by December thirty first, 278 00:14:12,559 --> 00:14:14,840 Speaker 2: and they're going to get hunted like running men. 279 00:14:15,080 --> 00:14:18,000 Speaker 3: Yes, yeah, that's okay, So we're almost there. 280 00:14:18,160 --> 00:14:18,400 Speaker 2: Yeah. 281 00:14:19,440 --> 00:14:23,160 Speaker 3: So recently, actually there was a bit of controversy over 282 00:14:23,360 --> 00:14:26,760 Speaker 3: like I guess what we would call death markets on Calshi. 283 00:14:27,800 --> 00:14:32,640 Speaker 3: So when the US attacked Iran. There were lots of 284 00:14:32,880 --> 00:14:36,720 Speaker 3: markets on both poly Market and Calshi related to military 285 00:14:36,760 --> 00:14:39,240 Speaker 3: action in Iran, whether it would happen or not, by 286 00:14:39,320 --> 00:14:41,680 Speaker 3: when it would happen. Usually these are formatted in like, 287 00:14:42,520 --> 00:14:47,480 Speaker 3: you know, military strikes in Iran by xedate. Yeah, so 288 00:14:47,880 --> 00:14:51,080 Speaker 3: one of the contracts that both Calshi and Polymarket had 289 00:14:51,840 --> 00:14:56,920 Speaker 3: wash Camanie out by x date. Right, so this is 290 00:14:56,960 --> 00:14:59,720 Speaker 3: the supreme leader of Iran. Will he be out as 291 00:15:00,000 --> 00:15:04,920 Speaker 3: preme leader by this date? So the like layman's interpretation 292 00:15:05,320 --> 00:15:09,520 Speaker 3: of that would mean if he dies, he's out right. 293 00:15:09,600 --> 00:15:12,000 Speaker 3: You know, that's probably how you would So was he 294 00:15:12,200 --> 00:15:16,960 Speaker 3: in office anymore, he's dead, he's probably out right. So 295 00:15:17,360 --> 00:15:20,920 Speaker 3: when on that Saturday Trump announced that he had been 296 00:15:21,040 --> 00:15:24,800 Speaker 3: killed on poly Market, poly Market resolved their contract. Yes 297 00:15:24,880 --> 00:15:28,720 Speaker 3: he is out right, right, But Calshi did not do this. 298 00:15:29,480 --> 00:15:33,160 Speaker 3: They froze, well, they like pause the market for like 299 00:15:33,280 --> 00:15:35,040 Speaker 3: eight hours to like figure out how to handle this. 300 00:15:35,280 --> 00:15:38,120 Speaker 2: What is the consequence of posing the market just to him? Claire, Oh, 301 00:15:38,240 --> 00:15:40,240 Speaker 2: it's just that there's no more trading happening, right, does 302 00:15:40,280 --> 00:15:42,280 Speaker 2: the price move at all? So it's just frozen. It's 303 00:15:42,320 --> 00:15:42,920 Speaker 2: just frozen. 304 00:15:44,200 --> 00:15:48,040 Speaker 3: And what they did is they reset when they made 305 00:15:48,080 --> 00:15:53,200 Speaker 3: their decision, they refunded everyone their stakes the value of 306 00:15:53,280 --> 00:15:57,840 Speaker 3: their contracts at last traded price before death. So if 307 00:15:57,920 --> 00:16:00,160 Speaker 3: there was like a seventy four percent chance that he 308 00:16:00,160 --> 00:16:03,440 Speaker 3: would be out at twelve fifty nine and he died 309 00:16:03,480 --> 00:16:06,560 Speaker 3: at one, then they would pay the Yes, contract would 310 00:16:06,560 --> 00:16:10,440 Speaker 3: pay out seventy four cents, right, right, So they did 311 00:16:10,560 --> 00:16:15,040 Speaker 3: that in order to isolate the death component, right because Calshi, 312 00:16:15,560 --> 00:16:17,480 Speaker 3: in what they have told me, they don't want to 313 00:16:17,640 --> 00:16:20,800 Speaker 3: allow people to profit on death. That's just not something 314 00:16:20,880 --> 00:16:22,080 Speaker 3: they're interested in doing. 315 00:16:22,160 --> 00:16:22,320 Speaker 2: Right. 316 00:16:22,640 --> 00:16:27,480 Speaker 3: However, there was very large controversy around this because all 317 00:16:27,520 --> 00:16:30,200 Speaker 3: of the Calshi traders who hopped on the Calshi and 318 00:16:30,280 --> 00:16:32,560 Speaker 3: were like, oh cool, yeah, he's probably going to be out, 319 00:16:33,120 --> 00:16:38,000 Speaker 3: I'll bet on this, they were Suddenly they did not 320 00:16:38,080 --> 00:16:41,080 Speaker 3: get the money that they expected to. And Cawshi had 321 00:16:41,160 --> 00:16:43,360 Speaker 3: like in its rules, in its rule book that was 322 00:16:43,440 --> 00:16:46,760 Speaker 3: like laid out, there was like some fine print. But yeah, 323 00:16:46,840 --> 00:16:49,280 Speaker 3: we get into this like weird question of like why 324 00:16:49,320 --> 00:16:51,200 Speaker 3: didn't they pay because he was out? 325 00:16:51,400 --> 00:16:52,120 Speaker 2: Like what was the death? 326 00:16:52,440 --> 00:16:55,880 Speaker 3: They don't want people? Death was a carve out? There 327 00:16:55,920 --> 00:16:58,920 Speaker 3: was a death carve out, so out by any other 328 00:16:59,120 --> 00:17:01,640 Speaker 3: means but death. Now, the Commanie was like in his 329 00:17:01,800 --> 00:17:04,200 Speaker 3: mid eighties, so it's kind of hard to imagine that 330 00:17:04,280 --> 00:17:06,760 Speaker 3: he was going to resign or like, you know, they 331 00:17:06,800 --> 00:17:10,119 Speaker 3: don't hold snap elections, so I don't really know. So 332 00:17:10,200 --> 00:17:13,000 Speaker 3: it was just resignation, I guess that, you know, or 333 00:17:13,119 --> 00:17:17,560 Speaker 3: like kidnapping like we saw in Venezuela. Maybe that was 334 00:17:17,600 --> 00:17:20,160 Speaker 3: its own own yeah episode, Yeah, that was its own thing, 335 00:17:20,200 --> 00:17:23,760 Speaker 3: you know, was was what happened in Venezuela. Does that 336 00:17:23,880 --> 00:17:26,200 Speaker 3: count as like a war or just like an encourage? 337 00:17:26,920 --> 00:17:29,720 Speaker 3: So we get into all these really weird questions when 338 00:17:30,480 --> 00:17:34,320 Speaker 3: the quote unquote oracle of these prediction markets is only 339 00:17:34,400 --> 00:17:39,159 Speaker 3: resolving based on very specific outcomes, and so at a 340 00:17:39,280 --> 00:17:41,800 Speaker 3: certain point, the entire point of these prediction markets is 341 00:17:41,880 --> 00:17:45,640 Speaker 3: that they provide ways to hedge outcomes that you can't 342 00:17:45,720 --> 00:17:48,600 Speaker 3: find in other markets. Yes, there's no way to like 343 00:17:48,680 --> 00:17:51,359 Speaker 3: hedge against that happening in the stock market, and like 344 00:17:51,400 --> 00:17:55,359 Speaker 3: a clean way, right, but if like, like, okay, so 345 00:17:55,480 --> 00:17:58,880 Speaker 3: let's say that I'm a business owner and I want 346 00:17:58,920 --> 00:18:01,480 Speaker 3: to hedge against the pos stability that Trump does not 347 00:18:01,680 --> 00:18:05,359 Speaker 3: finish this term from my point of view as a 348 00:18:05,359 --> 00:18:09,800 Speaker 3: business owner, if he dies or resigns or is impeached. 349 00:18:10,200 --> 00:18:13,240 Speaker 3: None of all of those three things fulfill the same 350 00:18:13,320 --> 00:18:14,959 Speaker 3: thing for me, and I need a hedge against all 351 00:18:15,000 --> 00:18:18,200 Speaker 3: of those outcomes. But if we don't allow these markets 352 00:18:18,320 --> 00:18:20,840 Speaker 3: to resolve on death, and you know, we can argue 353 00:18:20,840 --> 00:18:23,800 Speaker 3: whether or not we could we should, they by definition 354 00:18:23,960 --> 00:18:27,840 Speaker 3: become less valuable hedging tools. And so you kind of 355 00:18:27,920 --> 00:18:31,520 Speaker 3: get into this point spot where you're like, what are 356 00:18:31,560 --> 00:18:34,320 Speaker 3: these actually for? Like who is the person that's hedging 357 00:18:34,359 --> 00:18:36,120 Speaker 3: against Camanie resigning? 358 00:18:36,440 --> 00:18:50,440 Speaker 2: Like you know what I mean? It feels like I 359 00:18:50,480 --> 00:18:52,760 Speaker 2: don't know. I have a weird view of this and 360 00:18:52,800 --> 00:18:55,560 Speaker 2: that I think prediction markets are scary and vile and 361 00:18:55,680 --> 00:18:58,040 Speaker 2: they enable something, but I also think they're a condition 362 00:18:58,160 --> 00:19:02,000 Speaker 2: created by the stock market brain take. But I think 363 00:19:02,160 --> 00:19:04,800 Speaker 2: that the stock market has stopped being logical in any way, 364 00:19:04,840 --> 00:19:08,280 Speaker 2: shape or form, and regular people, despite I would say, 365 00:19:08,320 --> 00:19:10,080 Speaker 2: what was like three or four years ago and Robinhood 366 00:19:10,080 --> 00:19:14,040 Speaker 2: went really nuts on options, I think that regular people 367 00:19:14,560 --> 00:19:18,680 Speaker 2: do not have access to a logical or rational way 368 00:19:18,720 --> 00:19:21,119 Speaker 2: of investing. Like you can't just invest in a company 369 00:19:21,200 --> 00:19:23,560 Speaker 2: for being good. You can't invest in a clean outcome 370 00:19:23,640 --> 00:19:25,680 Speaker 2: because you're going to dine up against hedge funds and 371 00:19:25,800 --> 00:19:29,600 Speaker 2: whoever fast trading and such that you couldn't possibly keep up. 372 00:19:29,760 --> 00:19:31,879 Speaker 2: They have information you don't have. There's no way you 373 00:19:31,880 --> 00:19:34,600 Speaker 2: could possibly keep up. I'm not saying prediction markets are good. 374 00:19:34,640 --> 00:19:38,040 Speaker 2: I think they're terrifying. They are RoboCop shit. But it 375 00:19:38,080 --> 00:19:39,920 Speaker 2: feels like something that could only occur in a world 376 00:19:39,960 --> 00:19:42,840 Speaker 2: where there is not enough other ways to accumulate wealth. 377 00:19:43,960 --> 00:19:45,120 Speaker 1: I could not agree more. 378 00:19:45,280 --> 00:19:47,280 Speaker 4: And I think that one thing, like to this point, 379 00:19:47,359 --> 00:19:48,639 Speaker 4: It was a few weeks ago, and I might have 380 00:19:48,680 --> 00:19:50,240 Speaker 4: even said it to you, but there was an AD 381 00:19:50,400 --> 00:19:51,960 Speaker 4: and I don't want to say for a certain it 382 00:19:52,040 --> 00:19:53,920 Speaker 4: was either Caulci or polymarket, but it came up on 383 00:19:54,080 --> 00:19:56,560 Speaker 4: TikTok or Instagram, and it was an AD or like 384 00:19:56,600 --> 00:19:59,600 Speaker 4: a user user generated content type thing where a woman 385 00:19:59,840 --> 00:20:03,040 Speaker 4: was holding a coffee and the did we talk about this? 386 00:20:03,320 --> 00:20:05,560 Speaker 4: And the tagline again it was for one of them. 387 00:20:05,600 --> 00:20:07,440 Speaker 4: I don't want to misspeak, but it said, you know, 388 00:20:07,640 --> 00:20:11,159 Speaker 4: like my bet will pay for my coffee, you know, 389 00:20:11,320 --> 00:20:13,320 Speaker 4: like my you know, da da da. And I was like, 390 00:20:13,480 --> 00:20:17,720 Speaker 4: oh my god, that is so bleak because it really 391 00:20:17,840 --> 00:20:22,720 Speaker 4: speaks to this broad like and again financialization of everything, 392 00:20:23,000 --> 00:20:25,119 Speaker 4: not I you know, that's a big conversation right now. 393 00:20:25,720 --> 00:20:29,920 Speaker 4: It's talking about a world in which it is hard 394 00:20:29,960 --> 00:20:32,960 Speaker 4: to accumulate wealth. I mean, just to state the most 395 00:20:33,000 --> 00:20:35,880 Speaker 4: obvious thing, you know, and like, you know, just broad inequality. 396 00:20:37,280 --> 00:20:39,360 Speaker 4: My bet will help me pay for my like again, 397 00:20:39,400 --> 00:20:42,040 Speaker 4: and I get it, Like I get that on I 398 00:20:42,160 --> 00:20:45,040 Speaker 4: get why that would be an advertisement, and like I understand, 399 00:20:45,119 --> 00:20:47,120 Speaker 4: but that is so you know, it's like a young woman, 400 00:20:47,200 --> 00:20:50,359 Speaker 4: a young person, and it's like, oh my god, that 401 00:20:50,600 --> 00:20:53,600 Speaker 4: is what that is a symptom of, you know, sort 402 00:20:53,600 --> 00:20:56,000 Speaker 4: of like the world we're living in. And I'm not 403 00:20:56,240 --> 00:21:00,600 Speaker 4: saying that's good or bad. I mean it probably it's bleak. 404 00:21:00,720 --> 00:21:02,000 Speaker 4: It's like very bleak. 405 00:21:02,119 --> 00:21:04,240 Speaker 2: It's the growth. It's the same thing with sports scambling. 406 00:21:04,640 --> 00:21:07,480 Speaker 2: And sports gambling seems for now like a lot more 407 00:21:07,600 --> 00:21:10,639 Speaker 2: exploitative because they have the account managers who come and 408 00:21:10,680 --> 00:21:13,600 Speaker 2: they're like, hey, you've lost three grand, why don't we 409 00:21:13,640 --> 00:21:16,280 Speaker 2: give you two grand? Work of credit? Yeah, and all 410 00:21:16,320 --> 00:21:19,159 Speaker 2: of these these ways that you could leverage that it 411 00:21:19,359 --> 00:21:21,560 Speaker 2: is exploiting the fact that because if you think about 412 00:21:21,560 --> 00:21:24,439 Speaker 2: other stock market is these days, what the fuck are 413 00:21:24,440 --> 00:21:26,560 Speaker 2: you meant to do if you if you actually if 414 00:21:26,600 --> 00:21:28,960 Speaker 2: you invest in a company based on its fundamentals, you're 415 00:21:28,960 --> 00:21:32,159 Speaker 2: going to lose money probably. Yeah, It's like Oracle is 416 00:21:32,200 --> 00:21:34,960 Speaker 2: twelve percent up right now. I think we're just going 417 00:21:34,960 --> 00:21:36,399 Speaker 2: out in a week, so who knows where it will be. 418 00:21:36,920 --> 00:21:39,480 Speaker 2: Even though they had like negative twenty four billion dollars 419 00:21:39,560 --> 00:21:43,119 Speaker 2: cash flow, they're obviously misleading people when it comes to 420 00:21:43,800 --> 00:21:46,560 Speaker 2: how like their capex because they're going to spend only 421 00:21:46,680 --> 00:21:49,600 Speaker 2: fifty billion this year and they've already spent over forty 422 00:21:50,480 --> 00:21:54,159 Speaker 2: that work. But if you, if you, because the market 423 00:21:54,320 --> 00:21:57,040 Speaker 2: and their hedge funds have decided there's something else they'd 424 00:21:57,119 --> 00:22:00,159 Speaker 2: like to do, you cannot join that. So what your 425 00:22:00,200 --> 00:22:02,399 Speaker 2: other options you've got? I don't know, Betting on the 426 00:22:02,480 --> 00:22:06,880 Speaker 2: slap fights, yeah, Micheal slap competition, you've got sports gambling, 427 00:22:07,080 --> 00:22:10,280 Speaker 2: and you've got this big, impenetrable thing at the stock market. 428 00:22:10,760 --> 00:22:14,800 Speaker 2: But then you've got these seemingly honest, easy bets of Oh, 429 00:22:14,880 --> 00:22:18,600 Speaker 2: I can just bet on an outcome that's fair. Yeah, 430 00:22:18,760 --> 00:22:21,320 Speaker 2: unless the outcome is full of asterisks? 431 00:22:21,480 --> 00:22:25,160 Speaker 3: Yes, correct? Yeah, yeah, I think there was some there 432 00:22:25,240 --> 00:22:28,359 Speaker 3: was some research recently. I don't know how I should. 433 00:22:29,480 --> 00:22:33,560 Speaker 3: I saw this on Twitter disclaimer that like only thirty 434 00:22:33,600 --> 00:22:38,399 Speaker 3: two and a half percent of prediction market customers are profitable, right, 435 00:22:38,600 --> 00:22:40,600 Speaker 3: so two thirds of players are losers. 436 00:22:40,840 --> 00:22:43,000 Speaker 2: I mean that's gamblingbling you. 437 00:22:44,320 --> 00:22:47,040 Speaker 3: So yeah, I think, yeah, we when we get into this, 438 00:22:47,240 --> 00:22:50,960 Speaker 3: I think gen Z especially, there's a certain amount of 439 00:22:51,119 --> 00:22:57,080 Speaker 3: financial nihilism just general, like dread visa via the future 440 00:22:58,320 --> 00:22:59,840 Speaker 3: and how am I ever going to have a house 441 00:23:00,280 --> 00:23:03,760 Speaker 3: and et cetera, et cetera, and oh here's poly market. 442 00:23:03,880 --> 00:23:06,600 Speaker 3: They let me bet on you know, whether Trump will 443 00:23:06,680 --> 00:23:08,720 Speaker 3: say China in his speech. 444 00:23:08,520 --> 00:23:09,720 Speaker 2: And how many times he'll say it. 445 00:23:09,840 --> 00:23:11,720 Speaker 3: Yeah, yeah, yeah, this could be a fun thing. 446 00:23:11,640 --> 00:23:14,240 Speaker 2: That I could make money on to it, like you 447 00:23:14,320 --> 00:23:16,560 Speaker 2: could make you could pay for your coffee with it. Yes, 448 00:23:16,800 --> 00:23:19,639 Speaker 2: and yes, I will admit. My favorite Cauchy story is 449 00:23:19,680 --> 00:23:21,160 Speaker 2: the one that I'm sure both of you read, where 450 00:23:21,160 --> 00:23:23,600 Speaker 2: it's they tried to hire a fifteen year old streamer 451 00:23:23,920 --> 00:23:26,600 Speaker 2: and I quote your brother legal team confirmed that we 452 00:23:26,640 --> 00:23:31,040 Speaker 2: can't work with minors. R N kind of sad DBH, the. 453 00:23:31,200 --> 00:23:34,200 Speaker 1: R N and the TVHR. 454 00:23:34,640 --> 00:23:34,880 Speaker 5: Brother. 455 00:23:35,160 --> 00:23:36,680 Speaker 1: It really just brings it all together. 456 00:23:36,760 --> 00:23:39,320 Speaker 2: It really brings it together. But also you need to 457 00:23:39,359 --> 00:23:41,720 Speaker 2: watch Running Man because all of this just reminds me 458 00:23:41,840 --> 00:23:44,679 Speaker 2: of that moment, just just like the I get your 459 00:23:44,760 --> 00:23:48,720 Speaker 2: slop in a bowl on whether Trump will will say 460 00:23:48,880 --> 00:23:51,840 Speaker 2: a difference, it's cool nuclear the N word, like how 461 00:23:51,880 --> 00:23:53,760 Speaker 2: many times will he do that? And he's done that 462 00:23:53,840 --> 00:23:55,920 Speaker 2: many times, by the way, did not joke indeed, which 463 00:23:55,960 --> 00:24:00,280 Speaker 2: is yet another dystopian thing. Yes, it just feel like 464 00:24:00,359 --> 00:24:03,120 Speaker 2: the actual solution here would be more regulation of banks 465 00:24:03,160 --> 00:24:04,920 Speaker 2: and also getting rid of all of this. I think 466 00:24:04,960 --> 00:24:07,600 Speaker 2: sports gamblings. I know you probably can't come out on 467 00:24:07,680 --> 00:24:10,280 Speaker 2: this directly, but I think sports gambling is like one 468 00:24:10,320 --> 00:24:13,920 Speaker 2: of the most noxious things because living in Vegas, gambling 469 00:24:14,080 --> 00:24:19,240 Speaker 2: is everywhere, but it's also very very regulated. If you listen, 470 00:24:19,680 --> 00:24:23,760 Speaker 2: if you look anything close to twenty one, they will 471 00:24:23,880 --> 00:24:26,760 Speaker 2: come and card you, and they will chase you a 472 00:24:26,760 --> 00:24:30,200 Speaker 2: wrend like they know I'm coming up on forty and 473 00:24:30,240 --> 00:24:32,879 Speaker 2: they still like d me sometimes I'm beautiful en not but. 474 00:24:33,359 --> 00:24:35,240 Speaker 3: Yeah, you look you don't look a day over, you 475 00:24:35,320 --> 00:24:36,440 Speaker 3: look youth twenty. 476 00:24:37,480 --> 00:24:41,600 Speaker 2: But nevertheless it's you. It's because they know that gambling 477 00:24:41,720 --> 00:24:44,720 Speaker 2: is scary and that it's addictive, and that a win 478 00:24:44,880 --> 00:24:47,560 Speaker 2: can make you think every other one will happen. Except 479 00:24:47,640 --> 00:24:49,439 Speaker 2: now it's just you can do it anywhere. You can 480 00:24:49,520 --> 00:24:51,440 Speaker 2: just do it. Everything in the phone you've got every 481 00:24:51,480 --> 00:24:55,120 Speaker 2: device you can gamble. Ah. There are Instagram accounts, yes, 482 00:24:55,440 --> 00:24:57,600 Speaker 2: that just there's there's this one with a guy who 483 00:24:57,680 --> 00:25:00,360 Speaker 2: just dresses up like an old man and has beer 484 00:25:00,440 --> 00:25:03,760 Speaker 2: full of bush fridge full of bush light and it's 485 00:25:03,880 --> 00:25:08,199 Speaker 2: just him being like and he's on a gambling site that. 486 00:25:08,320 --> 00:25:12,639 Speaker 4: Is extremely extremely bleak. And I think it's yeah, and 487 00:25:12,800 --> 00:25:14,840 Speaker 4: I think that like it is prompting like in the 488 00:25:14,960 --> 00:25:17,440 Speaker 4: more traditional like so in banking and kind of like 489 00:25:17,800 --> 00:25:20,720 Speaker 4: I think it is prompting these bigger questions and kind 490 00:25:20,720 --> 00:25:24,560 Speaker 4: of existential questions about like, yeah, what is the difference, 491 00:25:24,840 --> 00:25:26,760 Speaker 4: you know, in what we're doing and kind of like 492 00:25:26,920 --> 00:25:29,359 Speaker 4: what is like what are we doing here? I mean, 493 00:25:29,400 --> 00:25:32,879 Speaker 4: you know again, it's like it is going back to 494 00:25:32,960 --> 00:25:35,359 Speaker 4: the regulation that is playing out right now. And that 495 00:25:35,480 --> 00:25:37,399 Speaker 4: is why it's such an interesting conversation where you do 496 00:25:37,480 --> 00:25:41,200 Speaker 4: have the Trump administration rolling back so many aspects of 497 00:25:41,320 --> 00:25:43,159 Speaker 4: banking regulation separate from prediction. 498 00:25:42,920 --> 00:25:45,520 Speaker 1: You know, forget prediction markets, all kind of things different. 499 00:25:45,920 --> 00:25:48,520 Speaker 4: So one example is, you know, for years banks have 500 00:25:48,560 --> 00:25:52,320 Speaker 4: tried to get regulators to go a little bit uh 501 00:25:52,920 --> 00:25:56,280 Speaker 4: make the stress testing process you know again super important 502 00:25:56,480 --> 00:26:01,600 Speaker 4: post where regulators every year will kind of simulate different 503 00:26:01,880 --> 00:26:06,760 Speaker 4: like disaster scenarios again, like totally hypothetical employment shoots up, 504 00:26:07,080 --> 00:26:10,159 Speaker 4: stock market crashes, you know, these hypothetical scenarios bank and 505 00:26:10,200 --> 00:26:12,200 Speaker 4: they test the banks currently like with the amount of 506 00:26:12,280 --> 00:26:15,120 Speaker 4: capital that a Wells Fargo or a JP Morgan has, 507 00:26:15,480 --> 00:26:16,200 Speaker 4: can you weather this? 508 00:26:16,440 --> 00:26:17,080 Speaker 1: Can you withstand? 509 00:26:17,280 --> 00:26:20,480 Speaker 4: They always do very they always do very well with 510 00:26:20,800 --> 00:26:23,000 Speaker 4: caveats obviously, but you know they come and say, okay, 511 00:26:23,040 --> 00:26:24,080 Speaker 4: you know that could be a weakness. 512 00:26:24,119 --> 00:26:24,919 Speaker 1: That could be a weakness. 513 00:26:25,200 --> 00:26:27,479 Speaker 4: Private credit has also introduced an interesting, you know kind 514 00:26:27,480 --> 00:26:31,320 Speaker 4: of wrinkle here because it is by definition there is 515 00:26:31,480 --> 00:26:33,480 Speaker 4: you know, kind of this hidden leverage, and regulators have 516 00:26:33,520 --> 00:26:36,800 Speaker 4: talked about that don't but they're not thanks correct and 517 00:26:36,960 --> 00:26:39,320 Speaker 4: so that's a whole other, fascinating, you know kind of 518 00:26:39,359 --> 00:26:41,720 Speaker 4: ecosystem where it's like, okay, you are a bank, I'm 519 00:26:41,760 --> 00:26:45,160 Speaker 4: going to stress tests you, you are lending you bank 520 00:26:46,000 --> 00:26:49,280 Speaker 4: are ed bank okay incorporated? You are going to lend 521 00:26:49,400 --> 00:26:53,520 Speaker 4: to private credit lender Okay. But when you lend to there, 522 00:26:53,960 --> 00:26:57,760 Speaker 4: there's not as much tracking what that what your borrower 523 00:26:58,160 --> 00:27:00,600 Speaker 4: is lending to. So you can see it is hard 524 00:27:00,680 --> 00:27:02,120 Speaker 4: to track where that money is going. 525 00:27:02,200 --> 00:27:03,920 Speaker 2: And I read the other day. I think it was 526 00:27:04,000 --> 00:27:06,520 Speaker 2: middle of last year the Boston Fed, I think it 527 00:27:06,680 --> 00:27:09,680 Speaker 2: was said that fourteen percent of large banks loans went 528 00:27:09,720 --> 00:27:11,240 Speaker 2: to private credit and private equity. 529 00:27:12,880 --> 00:27:17,440 Speaker 4: It's a massive is a massive chunk and of loan 530 00:27:17,520 --> 00:27:19,600 Speaker 4: growth overall. And I think that like when you go 531 00:27:19,760 --> 00:27:22,040 Speaker 4: to so when you take prediction markets and you kind 532 00:27:22,040 --> 00:27:24,600 Speaker 4: of take like the current regulatory backdrop, it's like and 533 00:27:24,800 --> 00:27:28,160 Speaker 4: adds an interesting wrinkle because it's like, okay, by and large, 534 00:27:28,160 --> 00:27:30,240 Speaker 4: a lot of the financial regulators are like, yes, we 535 00:27:30,440 --> 00:27:33,040 Speaker 4: want to be Like. The bottom line is they are 536 00:27:33,119 --> 00:27:37,800 Speaker 4: rolling back like traditional guardrails, you know, like around the banks, 537 00:27:38,160 --> 00:27:41,080 Speaker 4: but now prediction markets like okay, and that is currently 538 00:27:41,160 --> 00:27:44,600 Speaker 4: being like you know, kind of that is being sorted 539 00:27:44,680 --> 00:27:47,119 Speaker 4: out right now, so we'll see. And like the CFTC, 540 00:27:47,359 --> 00:27:49,760 Speaker 4: I want to say, is like the only regulator again, 541 00:27:49,800 --> 00:27:51,600 Speaker 4: it's like the most relevant one here. It's like come 542 00:27:51,680 --> 00:27:55,240 Speaker 4: out with like some guidance, but it remains to be seen, 543 00:27:55,400 --> 00:27:57,680 Speaker 4: so you know, we'll see kind of how the administration 544 00:27:57,800 --> 00:27:58,200 Speaker 4: handles that. 545 00:27:58,440 --> 00:28:01,760 Speaker 2: I just I feel like right now now personal opinion 546 00:28:01,880 --> 00:28:04,359 Speaker 2: not held by I guess I think that there is 547 00:28:04,400 --> 00:28:10,680 Speaker 2: a massive regulatory problem with laying because right now my 548 00:28:10,840 --> 00:28:15,119 Speaker 2: favorite example is open Ai. So open Ai signed a 549 00:28:15,160 --> 00:28:17,640 Speaker 2: deal with AMD, except they didn't. It was just an 550 00:28:17,640 --> 00:28:21,160 Speaker 2: agreement without any formal contract. AMD is not increased guidance 551 00:28:21,680 --> 00:28:24,440 Speaker 2: oracle three hundred billion dollar deal with our open Ai 552 00:28:24,640 --> 00:28:27,320 Speaker 2: can't afford to serve it, don't have the has to 553 00:28:27,400 --> 00:28:31,680 Speaker 2: raise debt. Data centers aren't built. S k Heinez and 554 00:28:31,760 --> 00:28:34,280 Speaker 2: open Ai. Samsung and open Ai signed a big deal 555 00:28:34,359 --> 00:28:36,480 Speaker 2: to take forty percent of RAM, except they didn't. It 556 00:28:36,560 --> 00:28:38,680 Speaker 2: was a letter of intent. All of these stocks have 557 00:28:39,000 --> 00:28:42,000 Speaker 2: popped off of these deals. H nothing happened. It's very 558 00:28:42,120 --> 00:28:47,240 Speaker 2: obvious there was never anything official. There should be regulated 559 00:28:47,520 --> 00:28:50,760 Speaker 2: because people in the audience might hear this and say, 560 00:28:50,840 --> 00:28:55,360 Speaker 2: that's not stock manipulation, But what is if that isn't? 561 00:28:55,720 --> 00:28:58,120 Speaker 2: If that isn't and people could say, oh, it's marketing. 562 00:28:58,640 --> 00:29:01,960 Speaker 2: Oh we used weezer words. But it's like it feels 563 00:29:02,080 --> 00:29:05,720 Speaker 2: like things like this will lead to outcomes that lose 564 00:29:05,960 --> 00:29:08,000 Speaker 2: a lot of money. There's a lot of people a 565 00:29:08,040 --> 00:29:11,360 Speaker 2: lot of money, and unless we do something soon, it's 566 00:29:11,440 --> 00:29:13,440 Speaker 2: own to get only gonna get worse. Because every time 567 00:29:13,560 --> 00:29:17,719 Speaker 2: someone like this is not stopped, someone else doesn't. They 568 00:29:17,800 --> 00:29:20,720 Speaker 2: just like fuck it. Why would we bother. That will 569 00:29:20,800 --> 00:29:22,640 Speaker 2: lead into the prediction markets as well, because you could 570 00:29:22,680 --> 00:29:26,160 Speaker 2: just start saying whatever. But that's actually that is the 571 00:29:26,200 --> 00:29:28,320 Speaker 2: biggest thing with prediction. You can just say stuff. 572 00:29:28,440 --> 00:29:31,720 Speaker 3: Now there's like over the the extent to which the 573 00:29:31,760 --> 00:29:35,800 Speaker 3: stock market is reliant on like increasingly complicated bits of semantics. Yes, 574 00:29:35,960 --> 00:29:38,960 Speaker 3: it's like we've just never we're ad like a the 575 00:29:39,000 --> 00:29:43,560 Speaker 3: semantic indexes, the asters. 576 00:29:42,440 --> 00:29:48,080 Speaker 2: Like letter of intent, agreement consideration too. There are deals, 577 00:29:48,360 --> 00:29:52,160 Speaker 2: their deals, their agreements, but we've not changed guidance. We've 578 00:29:52,200 --> 00:29:54,520 Speaker 2: not put any money. Now one's actually doing anything. But 579 00:29:54,880 --> 00:29:56,920 Speaker 2: you know, it's just. 580 00:29:57,600 --> 00:29:59,560 Speaker 1: Lest we forget a memorandum of understanding. 581 00:29:59,600 --> 00:30:03,280 Speaker 2: Memory MOUs are the best. I love a good MoU 582 00:30:03,440 --> 00:30:07,600 Speaker 2: They mean nothing, but they mean absolutely everyone. I love ANU. 583 00:30:24,120 --> 00:30:28,240 Speaker 2: It's frustrating because I am not a particularly sophisticated trader. 584 00:30:28,320 --> 00:30:30,320 Speaker 2: I may have only recently started putting money in the 585 00:30:30,400 --> 00:30:33,200 Speaker 2: S and P five hundred after a period of not 586 00:30:34,000 --> 00:30:36,840 Speaker 2: but it's and that's in an index, by the way. 587 00:30:37,760 --> 00:30:40,960 Speaker 1: It's very responsible, very responsible. 588 00:30:41,800 --> 00:30:43,280 Speaker 2: But the point loves the eighty twenty. 589 00:30:43,800 --> 00:30:45,000 Speaker 1: Yeah, I love diversification. 590 00:30:45,200 --> 00:30:49,320 Speaker 2: Here's the thing. My worry is is that it's very 591 00:30:49,440 --> 00:30:52,280 Speaker 2: obvious how you manipulate these markets, and without regulations to 592 00:30:52,320 --> 00:30:55,080 Speaker 2: stop people, it's only going to get more ridiculous. You're 593 00:30:55,120 --> 00:30:58,160 Speaker 2: just going to get CEOs that say things to create 594 00:30:58,240 --> 00:31:01,320 Speaker 2: a market, possibly creating them themselves. And if they're a 595 00:31:01,360 --> 00:31:05,880 Speaker 2: private company, that's not illegal, I believe. Yeah. 596 00:31:06,080 --> 00:31:09,000 Speaker 3: So when we talk about like, mentioned markets are a 597 00:31:09,040 --> 00:31:10,760 Speaker 3: good example of where I think a lot of the 598 00:31:10,880 --> 00:31:16,680 Speaker 3: like more manipulation concerns are. So a mention market is like, Okay, 599 00:31:16,840 --> 00:31:21,200 Speaker 3: during this podcast, will ed say fuck with We're like 600 00:31:21,320 --> 00:31:25,200 Speaker 3: we're betting on that, like that, the odds are the 601 00:31:25,240 --> 00:31:31,680 Speaker 3: odds are high. You just did it, Ben, Yeah, So 602 00:31:32,160 --> 00:31:35,200 Speaker 3: like will Caroline Levitt at the next White House press 603 00:31:35,240 --> 00:31:37,000 Speaker 3: conference say the word China? 604 00:31:37,880 --> 00:31:38,120 Speaker 2: People? 605 00:31:38,280 --> 00:31:40,520 Speaker 3: These are mentioned markets, So we're literally just betting on 606 00:31:40,720 --> 00:31:42,760 Speaker 3: the words that will come out of someone's mouth. 607 00:31:43,000 --> 00:31:43,160 Speaker 4: Right. 608 00:31:43,640 --> 00:31:48,720 Speaker 3: So, a very high profile example of this is coinbase 609 00:31:48,840 --> 00:31:52,560 Speaker 3: CEO Brian Armstrong. You know, at the end of an 610 00:31:52,600 --> 00:31:56,400 Speaker 3: earnings call, there was a polymarket mentioned market for what 611 00:31:56,520 --> 00:32:00,200 Speaker 3: will Brian Armstrong say on the earnings call? And and 612 00:32:00,840 --> 00:32:04,320 Speaker 3: you know literally like right before the like moderator was 613 00:32:04,360 --> 00:32:06,800 Speaker 3: like thanks for joining everyone, like right before he's like, oh, 614 00:32:06,880 --> 00:32:09,560 Speaker 3: someone just handed me the polymarket for what I'm gonna say, 615 00:32:09,840 --> 00:32:12,480 Speaker 3: So I'll just get through all these you know, Bitcoin 616 00:32:12,720 --> 00:32:14,840 Speaker 3: web three. It just like went down the list and 617 00:32:15,000 --> 00:32:19,120 Speaker 3: like paid all of them off. So he has come 618 00:32:19,160 --> 00:32:21,240 Speaker 3: out and said that he was not trading on that 619 00:32:21,360 --> 00:32:24,600 Speaker 3: market or involved in any way. But like we are 620 00:32:24,680 --> 00:32:28,520 Speaker 3: opening ourselves up to like new ways that we can 621 00:32:28,680 --> 00:32:32,000 Speaker 3: like manipulate markets. Yeah, insider trade and like when we 622 00:32:32,360 --> 00:32:36,120 Speaker 3: create a market for everything and everything can become a 623 00:32:36,200 --> 00:32:40,440 Speaker 3: bet more people than ever can become insider traders because 624 00:32:40,480 --> 00:32:43,600 Speaker 3: there's just so much more things to insider trade on. 625 00:32:44,120 --> 00:32:47,840 Speaker 2: Well, is a question, how do you how much is 626 00:32:48,040 --> 00:32:51,440 Speaker 2: necessary to create a market, Like what how much money 627 00:32:51,600 --> 00:32:53,120 Speaker 2: does it require? This is a good question. 628 00:32:53,480 --> 00:32:58,720 Speaker 3: So polymarket pr has told me that the primary criteria 629 00:32:59,120 --> 00:33:03,480 Speaker 3: for if a market can be created, because they field 630 00:33:03,600 --> 00:33:08,840 Speaker 3: suggestions from their users. The primary criteria is if there's 631 00:33:08,880 --> 00:33:11,480 Speaker 3: evidence of demand for the yes side. 632 00:33:11,280 --> 00:33:14,560 Speaker 2: And the no side. That's it. What is evidence in 633 00:33:14,680 --> 00:33:15,320 Speaker 2: this case. 634 00:33:15,720 --> 00:33:19,600 Speaker 3: You know, if there's activity on Twitter about it, if 635 00:33:19,640 --> 00:33:21,960 Speaker 3: people in the discord are like, please, I want to 636 00:33:21,960 --> 00:33:24,680 Speaker 3: bet on this, it seems pretty ad hoc. I don't 637 00:33:24,760 --> 00:33:27,240 Speaker 3: have much more detail than that, because they give me 638 00:33:27,320 --> 00:33:27,720 Speaker 3: more detail. 639 00:33:27,760 --> 00:33:31,560 Speaker 2: Imagine they don't need to yeah, yeah, it's not money. 640 00:33:32,120 --> 00:33:35,520 Speaker 3: It's I mean, it's just like evidence of trading demand, right, 641 00:33:35,640 --> 00:33:37,480 Speaker 3: and then they'll open it and then people can start 642 00:33:37,640 --> 00:33:40,160 Speaker 3: right on it. You don't have to they have to 643 00:33:40,200 --> 00:33:42,200 Speaker 3: be They don't have to be like, all right, you 644 00:33:42,280 --> 00:33:43,960 Speaker 3: all have five hundred dollars ready to go on this, 645 00:33:44,160 --> 00:33:46,360 Speaker 3: like there's nothing like you like, there's just as long 646 00:33:46,440 --> 00:33:50,160 Speaker 3: as they can see that people will want to trade 647 00:33:50,200 --> 00:33:51,160 Speaker 3: on it, they will make. 648 00:33:51,040 --> 00:33:52,920 Speaker 4: It makes sense, yes, And that kind of goes to 649 00:33:53,000 --> 00:33:55,200 Speaker 4: the question of just like thinly like with banks, like 650 00:33:55,360 --> 00:33:59,640 Speaker 4: thin thinly regulated versus not thinly traded excuse me, versus 651 00:33:59,680 --> 00:34:01,720 Speaker 4: not right. It goes to the question of like when 652 00:34:01,760 --> 00:34:04,560 Speaker 4: banks look at something, they're like, we can't make a 653 00:34:04,720 --> 00:34:07,360 Speaker 4: market out of like, you know, trading on this one. 654 00:34:09,000 --> 00:34:11,120 Speaker 3: Two hundred thousand dollars in volume, Like there's just no 655 00:34:11,239 --> 00:34:13,440 Speaker 3: way that like exactly huge bank is ever going to 656 00:34:13,600 --> 00:34:16,399 Speaker 3: like yeah, you just open yourself up to so much. 657 00:34:16,640 --> 00:34:19,400 Speaker 2: So it goes back to that, Yeah, I mean also, 658 00:34:19,480 --> 00:34:21,560 Speaker 2: I guess banks I didn't even think if that ye 659 00:34:21,640 --> 00:34:23,399 Speaker 2: banks went want will touch because there's not enough money 660 00:34:23,400 --> 00:34:23,560 Speaker 2: in it. 661 00:34:24,320 --> 00:34:26,719 Speaker 1: I think it's when I think of like a thinly 662 00:34:26,800 --> 00:34:28,560 Speaker 1: traded like stock. Yeah, exactly. 663 00:34:28,680 --> 00:34:31,160 Speaker 4: It just goes back to liquidity and like the volatility, 664 00:34:31,280 --> 00:34:33,960 Speaker 4: and like if banks can find a way to make 665 00:34:34,239 --> 00:34:35,239 Speaker 4: money on something. 666 00:34:35,200 --> 00:34:37,680 Speaker 1: Legally, they will, Yeah, yeah, they will. 667 00:34:37,800 --> 00:34:39,640 Speaker 4: And so it's i you know, you could see a 668 00:34:39,680 --> 00:34:41,960 Speaker 4: world in which and I'm not saying like there is 669 00:34:42,080 --> 00:34:44,000 Speaker 4: no regulatory framework that would allow this. 670 00:34:44,120 --> 00:34:46,440 Speaker 1: No, I'm not saying that because in the future, in 671 00:34:46,560 --> 00:34:49,720 Speaker 1: the future you could see it, like who. 672 00:34:49,680 --> 00:34:51,279 Speaker 4: Knows what that could look like. And so the banks 673 00:34:51,320 --> 00:34:52,800 Speaker 4: are just like, Okay, we're going to wait for the 674 00:34:52,840 --> 00:34:55,320 Speaker 4: regulators to say something. But like it comes to a 675 00:34:55,440 --> 00:34:58,640 Speaker 4: question of also like internal enforcement, like banks all have 676 00:34:58,880 --> 00:35:02,799 Speaker 4: like very very clear, you know, kind of rules around 677 00:35:02,800 --> 00:35:08,160 Speaker 4: insider trading. Someone has non public information, if you trade 678 00:35:08,200 --> 00:35:09,759 Speaker 4: on that, you will be fired. Like you know, that's 679 00:35:09,920 --> 00:35:12,640 Speaker 4: very like well worn, you know kind of like but 680 00:35:13,000 --> 00:35:17,680 Speaker 4: now with prediction markets, how do you enforce that? It 681 00:35:17,880 --> 00:35:20,560 Speaker 4: is hard And so banks are like actively and again 682 00:35:20,560 --> 00:35:22,359 Speaker 4: I'm just like talking about banks specifically. You could also 683 00:35:22,400 --> 00:35:25,760 Speaker 4: talk about like chech companies, healthcare companies, whatever. But banks 684 00:35:25,840 --> 00:35:27,680 Speaker 4: where like we have talked about this a lot, like 685 00:35:28,040 --> 00:35:31,279 Speaker 4: being this nexus of the markets, and they do have 686 00:35:31,320 --> 00:35:33,400 Speaker 4: a lot of information that you know, Okay, that's different 687 00:35:33,440 --> 00:35:36,200 Speaker 4: from someone in another sector, like how does a compliance 688 00:35:36,239 --> 00:35:38,920 Speaker 4: team enforce that? That is an open question right now 689 00:35:39,000 --> 00:35:41,360 Speaker 4: that banks are like actively figuring out, and it's a 690 00:35:41,400 --> 00:35:44,040 Speaker 4: really interesting question of compliance and enforcement. 691 00:35:44,120 --> 00:35:44,239 Speaker 3: You know. 692 00:35:44,360 --> 00:35:47,800 Speaker 2: Internally, it's just it feels like the wauls of breaking 693 00:35:47,880 --> 00:35:50,040 Speaker 2: down around everything. Because before we do the prep call 694 00:35:50,120 --> 00:35:52,400 Speaker 2: for this, we talk about analysts, for example, and I 695 00:35:52,520 --> 00:35:54,719 Speaker 2: named someone. I'm not going to name people on this 696 00:35:55,040 --> 00:35:57,680 Speaker 2: just for professional reasons, but people know who are. 697 00:35:58,040 --> 00:35:59,960 Speaker 1: We're very professional, all very professor. 698 00:36:00,600 --> 00:36:03,840 Speaker 2: I say, fuck, but there are these I need someone 699 00:36:03,960 --> 00:36:05,960 Speaker 2: and you were like, that's not an analyst. Yeah. And 700 00:36:06,040 --> 00:36:08,800 Speaker 2: it's becoming obviously because they're on CNBC, they're on Bloomberg. 701 00:36:08,880 --> 00:36:11,360 Speaker 2: It's like, you've got these people pretending to be analysts. 702 00:36:11,360 --> 00:36:14,319 Speaker 2: You've got these entities like private credit pretending to be thanks, 703 00:36:14,320 --> 00:36:17,880 Speaker 2: You've got prediction markets pretending to be stocked. Yeah, it 704 00:36:18,040 --> 00:36:20,680 Speaker 2: just feels like the walls are being torn down, and 705 00:36:20,840 --> 00:36:23,160 Speaker 2: I know that this is gonna People aren't gonna like this. 706 00:36:23,440 --> 00:36:25,239 Speaker 2: I don't think most people should have access to the 707 00:36:25,280 --> 00:36:28,000 Speaker 2: stock market or gambling. I think that they are dangerous 708 00:36:28,680 --> 00:36:31,000 Speaker 2: and I think or at least they should be regulated 709 00:36:31,040 --> 00:36:34,200 Speaker 2: in such a way that it's less dangerous, not just 710 00:36:34,880 --> 00:36:38,480 Speaker 2: open season. And then the third guy on Twitter is like, 711 00:36:38,600 --> 00:36:40,920 Speaker 2: I'm an analyst, mate, you are a poster. 712 00:36:41,480 --> 00:36:42,680 Speaker 1: Well that's the interesting question. 713 00:36:42,760 --> 00:36:44,320 Speaker 4: And I mean, like I couldn't help but think in 714 00:36:44,400 --> 00:36:47,919 Speaker 4: that moment of journalism, right, I mean, like obviously, okay, 715 00:36:47,920 --> 00:36:51,600 Speaker 4: they're journalists and writers, and then they're like people who 716 00:36:51,760 --> 00:36:53,560 Speaker 4: do not have the same are not held to the 717 00:36:53,600 --> 00:36:55,480 Speaker 4: same standards, and that's a whole other conversation. 718 00:36:55,840 --> 00:36:57,240 Speaker 1: But like with analysts, yeah, totally. 719 00:36:57,320 --> 00:36:59,759 Speaker 4: I mean, like it's there are very clear kind of 720 00:36:59,880 --> 00:37:02,399 Speaker 4: like you are regulated by FINRA, which is the self 721 00:37:02,480 --> 00:37:05,560 Speaker 4: regulated you know, they're a regulator and they regulator. They 722 00:37:05,640 --> 00:37:09,480 Speaker 4: regulate the brokerage industry, and like any quote cell side analyst, 723 00:37:09,640 --> 00:37:11,839 Speaker 4: so like you know, an analyst who is again held 724 00:37:11,920 --> 00:37:15,400 Speaker 4: to these standards like industry standards of disclosures and like 725 00:37:15,480 --> 00:37:17,360 Speaker 4: conflict of interests and things like that, like that is 726 00:37:17,480 --> 00:37:20,040 Speaker 4: quote an analyst. Yeah, you can be an of course, 727 00:37:20,120 --> 00:37:22,799 Speaker 4: there are like other ways, but like that, you can 728 00:37:22,840 --> 00:37:25,279 Speaker 4: be an analyst in and that is legitimate in like 729 00:37:25,360 --> 00:37:29,399 Speaker 4: another sector or like another like on the by side. Okay, fine, 730 00:37:29,440 --> 00:37:32,120 Speaker 4: that's all legitimate, but there are certain standards that you're 731 00:37:32,160 --> 00:37:34,279 Speaker 4: held to if you're like, for example, you know, like 732 00:37:34,360 --> 00:37:38,200 Speaker 4: a FINRA analyst, and like that's not analyst capital a analyst, 733 00:37:38,239 --> 00:37:40,200 Speaker 4: and that's not always clear to like a viewer of CMOS. 734 00:37:40,640 --> 00:37:43,120 Speaker 2: This is actually a question what is a sell side analyst? 735 00:37:43,280 --> 00:37:45,920 Speaker 2: Because I have listeners who have lost this before, and 736 00:37:45,960 --> 00:37:47,839 Speaker 2: I realized I haven't really defined it myself very well. 737 00:37:47,960 --> 00:37:52,800 Speaker 4: You would not for sure you're at a brokerage, something 738 00:37:52,960 --> 00:37:55,719 Speaker 4: like brokerage inside of a bank, or you're just like 739 00:37:55,760 --> 00:37:59,880 Speaker 4: a standalone kind of brokerage a Morgan Stanley. Great great example. 740 00:38:00,040 --> 00:38:02,520 Speaker 4: They have their investment bank and that's like okay, they 741 00:38:02,560 --> 00:38:04,400 Speaker 4: have their bankers over here. And on the other side 742 00:38:04,760 --> 00:38:06,799 Speaker 4: and it's not this simple, but like on the other side, 743 00:38:06,800 --> 00:38:09,440 Speaker 4: you have the cell side, and that is these analysts 744 00:38:09,480 --> 00:38:11,800 Speaker 4: who are writing research reports. 745 00:38:11,920 --> 00:38:15,359 Speaker 1: They are held to FINRA rule two two for one. 746 00:38:15,600 --> 00:38:19,320 Speaker 1: I think SECTIONNE six two two for one. Go google it. 747 00:38:19,440 --> 00:38:21,960 Speaker 4: That covers everything that like a cell side analyst must 748 00:38:22,040 --> 00:38:24,960 Speaker 4: be held to. They are on the cell side versus 749 00:38:25,000 --> 00:38:28,680 Speaker 4: the buy side. So they are selling you know, like 750 00:38:28,880 --> 00:38:31,840 Speaker 4: research and you know, versus like they're not managing a 751 00:38:31,920 --> 00:38:35,719 Speaker 4: fund right like they are giving information, they're issuing a 752 00:38:35,800 --> 00:38:39,040 Speaker 4: buy hold sell. They are giving price targets, they are 753 00:38:39,120 --> 00:38:42,360 Speaker 4: looking at financial models. They are in a different spot 754 00:38:42,520 --> 00:38:45,200 Speaker 4: than against someone on the buy side. That is like 755 00:38:45,719 --> 00:38:51,720 Speaker 4: reading the cell side selling selling research, sell selling knowledge 756 00:38:51,760 --> 00:38:55,200 Speaker 4: and wisdom. I don't know how the SEC defines that, 757 00:38:55,280 --> 00:38:57,200 Speaker 4: I'll be very clear, And it's kind of like, I mean, 758 00:38:57,239 --> 00:38:57,920 Speaker 4: it's kind. 759 00:38:57,800 --> 00:38:59,000 Speaker 2: Of outdated this way. 760 00:38:59,120 --> 00:39:01,439 Speaker 4: You know, it's almost like an antiquated thing sellside versus 761 00:39:01,480 --> 00:39:04,360 Speaker 4: by high just kind of how like a wirehouse Like 762 00:39:04,440 --> 00:39:06,359 Speaker 4: that's a very antiquated way of saying, like a big 763 00:39:06,440 --> 00:39:07,359 Speaker 4: wealth manager. 764 00:39:07,160 --> 00:39:08,839 Speaker 2: Big thing. That's scattering me at the moment. And I'm 765 00:39:08,880 --> 00:39:13,480 Speaker 2: not naming anyone specific for professional reasons, but why is 766 00:39:13,560 --> 00:39:17,680 Speaker 2: it that these analysts always set these massive targets and 767 00:39:17,880 --> 00:39:21,239 Speaker 2: don't seem to be affected by reality. Because there is 768 00:39:21,360 --> 00:39:27,919 Speaker 2: a nonspecific prominent data center analyst who quite literally went 769 00:39:28,040 --> 00:39:32,280 Speaker 2: out on television yesterday and said the oracle was a goodbye, 770 00:39:33,000 --> 00:39:35,080 Speaker 2: and it was that it's actually better when you look 771 00:39:35,080 --> 00:39:37,600 Speaker 2: at the report. This is factually incorrect. It's not even 772 00:39:37,600 --> 00:39:40,920 Speaker 2: an opinion thing. The cell side analysts always seem very 773 00:39:41,000 --> 00:39:45,480 Speaker 2: positive even when reality isn't reflecting that. Shouldn't they know better? 774 00:39:45,760 --> 00:39:48,400 Speaker 2: Is there a reason they would be more positive in 775 00:39:48,600 --> 00:39:50,799 Speaker 2: general not talking about this person. Yeah. 776 00:39:50,920 --> 00:39:52,800 Speaker 4: I mean it's like this is like one of my 777 00:39:52,960 --> 00:39:55,359 Speaker 4: favorite issues. It's just it's really fascinating because it kind 778 00:39:55,360 --> 00:39:58,759 Speaker 4: of speaks to like this proliferation of like anyone can 779 00:39:58,840 --> 00:40:00,840 Speaker 4: put out research and like you can kind of like 780 00:40:00,920 --> 00:40:04,440 Speaker 4: a lowercase a analyst versus capital a analyst. I think 781 00:40:04,520 --> 00:40:06,880 Speaker 4: that the thing to always go back to is, you know, 782 00:40:07,000 --> 00:40:09,279 Speaker 4: two thousand and one. I think two thousand and two 783 00:40:09,800 --> 00:40:13,080 Speaker 4: new regulations were put in you know, spearheaded by Elliott Spitzer, 784 00:40:13,120 --> 00:40:15,319 Speaker 4: who was the New York AG at the time, after 785 00:40:15,520 --> 00:40:19,120 Speaker 4: you know, Merrill Lynch, Morgan Stanley put you know, certain 786 00:40:19,160 --> 00:40:22,600 Speaker 4: analysts had put out research that were like was super 787 00:40:22,680 --> 00:40:25,640 Speaker 4: bullish and was total mismatch to how they were privately 788 00:40:25,719 --> 00:40:29,759 Speaker 4: describing Amazon. You know, Henry Blodgett famously, you know, put 789 00:40:29,840 --> 00:40:32,560 Speaker 4: out a report band from the industry that's all well, 790 00:40:32,640 --> 00:40:36,240 Speaker 4: you know, chronicled. All new regulations were put in place 791 00:40:36,400 --> 00:40:42,359 Speaker 4: around from security regulators around like okay, you are an analyst, Okay, 792 00:40:42,600 --> 00:40:45,480 Speaker 4: you have to include all sorts of new disclosures, which 793 00:40:45,520 --> 00:40:47,440 Speaker 4: is great, I mean, you know, and and again very 794 00:40:47,480 --> 00:40:52,000 Speaker 4: high a member of my household. I think the language 795 00:40:52,040 --> 00:40:53,719 Speaker 4: is something like me or a member of my household 796 00:40:54,640 --> 00:40:57,000 Speaker 4: owns a security and X y z or something like that. 797 00:40:57,960 --> 00:41:00,839 Speaker 4: And also, you know kind of these charts you'll see 798 00:41:00,840 --> 00:41:04,360 Speaker 4: at the bottom of a report where it shows the 799 00:41:04,760 --> 00:41:07,919 Speaker 4: stock price, like an Apple, for example, the stock price 800 00:41:08,040 --> 00:41:10,920 Speaker 4: relative to like where their price target is to hold 801 00:41:10,960 --> 00:41:13,439 Speaker 4: them accountable for like you know kind of what that's 802 00:41:13,480 --> 00:41:15,120 Speaker 4: looking like and stop, uh. 803 00:41:15,280 --> 00:41:17,040 Speaker 2: That would require someone to hold them accountable. 804 00:41:17,719 --> 00:41:18,480 Speaker 1: Yes, exactly. 805 00:41:18,640 --> 00:41:21,680 Speaker 4: And analysts are like, by and large, I mean, there's 806 00:41:21,800 --> 00:41:23,320 Speaker 4: plenty of data on this, but like they are a 807 00:41:23,480 --> 00:41:28,719 Speaker 4: very like bullish group. I mean the data if you 808 00:41:28,840 --> 00:41:31,120 Speaker 4: just look at buy hold sell, like, they continue to 809 00:41:31,160 --> 00:41:34,480 Speaker 4: be that and and the whole industry has really evolved 810 00:41:34,600 --> 00:41:36,560 Speaker 4: where you know, this is a whole other conversation. We 811 00:41:36,640 --> 00:41:38,600 Speaker 4: talked about this a little bit, but like people should 812 00:41:38,600 --> 00:41:41,480 Speaker 4: be aware that like corporate access is you know, just 813 00:41:41,600 --> 00:41:44,520 Speaker 4: a much bigger part of the analyst. 814 00:41:44,239 --> 00:41:45,080 Speaker 1: Job and and all that. 815 00:41:45,400 --> 00:41:47,440 Speaker 2: When you say access, what do you mean, Yeah, Like. 816 00:41:48,560 --> 00:41:52,040 Speaker 4: You're an analyst at a again, a Morgan Stanley or 817 00:41:52,239 --> 00:41:55,799 Speaker 4: a UBS. And just to call out two random ones 818 00:41:56,960 --> 00:42:00,160 Speaker 4: you your clients, like a hedge fund investor, you know, 819 00:42:00,320 --> 00:42:04,040 Speaker 4: like a big institutional investor access to the management team 820 00:42:04,440 --> 00:42:06,560 Speaker 4: of the company that I cover as an analyst. So 821 00:42:06,800 --> 00:42:11,080 Speaker 4: I'm covering I'm covering the you know, I'm a healthcare 822 00:42:11,080 --> 00:42:13,400 Speaker 4: analyst and I'm covering Johnson and Johnson, and like I 823 00:42:13,480 --> 00:42:15,680 Speaker 4: can connect, you know, like the investor who's reading my 824 00:42:15,760 --> 00:42:18,880 Speaker 4: research with the CFO of Johnson and Johnson. I'm just 825 00:42:18,920 --> 00:42:22,279 Speaker 4: calling out random companies, but it's that connection. It's that 826 00:42:22,400 --> 00:42:23,839 Speaker 4: like link, and it's well, it's access. 827 00:42:23,960 --> 00:42:29,879 Speaker 2: It's just access feels that feels like a bad thing, 828 00:42:30,120 --> 00:42:32,239 Speaker 2: like that doesn't feel like it benefits. 829 00:42:33,239 --> 00:42:35,239 Speaker 4: It is definitely a you know, it's one of these 830 00:42:35,280 --> 00:42:38,200 Speaker 4: things that that analysts have to manage and like these 831 00:42:38,239 --> 00:42:39,880 Speaker 4: one of these and I don't want to call it 832 00:42:39,920 --> 00:42:42,400 Speaker 4: a conflict, because it's not inherently a conflict, but it 833 00:42:42,560 --> 00:42:45,560 Speaker 4: is another kind of piece of the job that frankly, 834 00:42:46,640 --> 00:42:48,640 Speaker 4: and there are many fantastic analysts out there who do 835 00:42:48,800 --> 00:42:51,600 Speaker 4: manage that well and put out you know, have great relationships, 836 00:42:51,640 --> 00:42:54,880 Speaker 4: but put out critical research, you know, like substantive research, 837 00:42:54,960 --> 00:42:56,799 Speaker 4: and you just have to manage that. And there are 838 00:42:56,840 --> 00:42:59,279 Speaker 4: many fantastic analysts who do. But I even said, it's 839 00:42:59,400 --> 00:43:03,000 Speaker 4: not unlike sometimes being a beat reporter, where you have 840 00:43:03,200 --> 00:43:06,080 Speaker 4: to maintain just like good working relationships with the people 841 00:43:06,160 --> 00:43:09,400 Speaker 4: you cover, even if you're going to say an accurate 842 00:43:09,520 --> 00:43:11,920 Speaker 4: but like critical fair thing, and then you just have 843 00:43:12,040 --> 00:43:14,560 Speaker 4: to like move on again. Very different from the role 844 00:43:14,600 --> 00:43:16,520 Speaker 4: of an analyst, you know, but it. 845 00:43:16,640 --> 00:43:19,200 Speaker 1: Is there are similarities. I don't know if it's different, 846 00:43:19,320 --> 00:43:20,239 Speaker 1: there are similarities. 847 00:43:20,400 --> 00:43:21,759 Speaker 3: I just wait, I just want to make sure I 848 00:43:21,840 --> 00:43:26,080 Speaker 3: please please, right, So, a sell side analyst writes reports 849 00:43:26,280 --> 00:43:29,960 Speaker 3: about companies in a certain sector and puts those reports 850 00:43:30,000 --> 00:43:33,240 Speaker 3: out publicly and disseminates them to other banks, et cetera. 851 00:43:33,600 --> 00:43:36,839 Speaker 3: And then hedge funds can go to the analyst and say, 852 00:43:37,360 --> 00:43:40,600 Speaker 3: I want your specific research that you've done on these companies, 853 00:43:40,680 --> 00:43:43,759 Speaker 3: and also can you introduce me to their management team. 854 00:43:44,160 --> 00:43:46,520 Speaker 1: That's part of the offering exactly, I see exactly. 855 00:43:46,560 --> 00:43:50,600 Speaker 3: And therefore, to be able to connect clients to management 856 00:43:50,960 --> 00:43:54,240 Speaker 3: and make money for your firm, you have to maybe 857 00:43:54,320 --> 00:43:57,200 Speaker 3: you have to be a little more positive in your 858 00:43:57,280 --> 00:43:59,799 Speaker 3: report on that firm than you normally would in order 859 00:43:59,880 --> 00:44:02,359 Speaker 3: to be able to connect your clients with them. 860 00:44:02,640 --> 00:44:03,279 Speaker 2: That's that's it. 861 00:44:04,040 --> 00:44:08,040 Speaker 4: That would be the cynical take, absolutely, but the very 862 00:44:08,160 --> 00:44:16,240 Speaker 4: fair criticism I would say yes, absolutely, I don't cynical 863 00:44:16,280 --> 00:44:18,360 Speaker 4: take but but but it is it's just like a 864 00:44:18,440 --> 00:44:22,280 Speaker 4: feature that and again they're like excellent, excellent, excellent analysts 865 00:44:22,280 --> 00:44:23,600 Speaker 4: who just like manage. 866 00:44:23,239 --> 00:44:25,799 Speaker 2: That's why we're being on specifically, but and. 867 00:44:25,840 --> 00:44:27,680 Speaker 1: Who just manage that. And it's just like being again 868 00:44:27,680 --> 00:44:28,000 Speaker 1: and again. 869 00:44:28,200 --> 00:44:30,640 Speaker 4: Yes, okay, there are differences, but it is not unlike 870 00:44:31,920 --> 00:44:34,040 Speaker 4: you write a tough story on a company. You are 871 00:44:34,280 --> 00:44:36,719 Speaker 4: fair and then you got to move on and then 872 00:44:36,719 --> 00:44:38,319 Speaker 4: you got to like move on, you know what I mean. 873 00:44:38,640 --> 00:44:39,600 Speaker 2: But the thing is, I don't know. 874 00:44:39,680 --> 00:44:39,840 Speaker 3: I know. 875 00:44:40,200 --> 00:44:43,120 Speaker 2: I think access journalism is bullshing and I think we're 876 00:44:43,160 --> 00:44:45,719 Speaker 2: in the beginning of history. As I wrote yeah last week, 877 00:44:46,160 --> 00:44:50,080 Speaker 2: it is it's no longer useful to do access. Access 878 00:44:50,120 --> 00:44:52,320 Speaker 2: journalism doesn't work. It doesn't get you anything. If a 879 00:44:52,360 --> 00:44:55,400 Speaker 2: PR firm or a PR person at a company doesn't 880 00:44:55,400 --> 00:44:57,480 Speaker 2: answer your question because they're mad at you, that's their 881 00:44:57,560 --> 00:44:59,919 Speaker 2: fucking problem. This is not the opinion of my guests, 882 00:45:00,160 --> 00:45:02,840 Speaker 2: is just me. I just when you told me this 883 00:45:02,960 --> 00:45:04,400 Speaker 2: for the first time in the pre courl I was 884 00:45:04,520 --> 00:45:06,560 Speaker 2: kind of I sat and thought about it a lot 885 00:45:06,600 --> 00:45:09,080 Speaker 2: because it's like, you don't have to agree with me here. 886 00:45:09,320 --> 00:45:12,759 Speaker 2: It feels antithetical to good analysis to be like, well, 887 00:45:12,840 --> 00:45:15,839 Speaker 2: I can't be too mean, especially when your job is hey, 888 00:45:15,880 --> 00:45:18,640 Speaker 2: should I invest in this, and it's like, well, you 889 00:45:18,800 --> 00:45:21,800 Speaker 2: maybe should, because I I gotta get you the company. 890 00:45:22,320 --> 00:45:24,120 Speaker 2: I got to make sure the company. Fuck that, I 891 00:45:24,239 --> 00:45:26,879 Speaker 2: I don't know. This is the thing though, gets back 892 00:45:26,880 --> 00:45:28,880 Speaker 2: to my wife feeling about the stock market. It's like 893 00:45:29,280 --> 00:45:33,040 Speaker 2: that feels rigged. It feels like you've got analysts who 894 00:45:33,080 --> 00:45:36,279 Speaker 2: go on CNBC Bloomberg and I'm sure people will say, 895 00:45:36,320 --> 00:45:40,040 Speaker 2: oh Bloomberg, real traders use the terminal whatever. But it's 896 00:45:40,120 --> 00:45:43,279 Speaker 2: like the growth of retail investors is what makes this 897 00:45:43,400 --> 00:45:46,319 Speaker 2: dangerous to me, The fact that it's the easiest time 898 00:45:46,440 --> 00:45:49,239 Speaker 2: ever to invest in stocks. If I felt like buying 899 00:45:49,280 --> 00:45:50,680 Speaker 2: a stock right now, I could do so in a 900 00:45:50,719 --> 00:45:54,399 Speaker 2: few taps. If that's the case, having or that should 901 00:45:54,400 --> 00:45:58,480 Speaker 2: be the disclosure. Here's a good centrist path. I think 902 00:45:58,520 --> 00:46:02,319 Speaker 2: that they should have to write down reintroduction they've made. Oh, 903 00:46:02,440 --> 00:46:05,120 Speaker 2: they should say every time every time they've introduced a 904 00:46:05,160 --> 00:46:06,799 Speaker 2: hedge fund, and they don't even need to name them. 905 00:46:07,080 --> 00:46:10,120 Speaker 2: There's these say made introduction on this date. That way 906 00:46:10,200 --> 00:46:12,520 Speaker 2: we could see because I bet there'd be a lot 907 00:46:12,560 --> 00:46:12,799 Speaker 2: of them. 908 00:46:13,760 --> 00:46:16,920 Speaker 1: Also, I'm getting all new ideas for Foyer requests. 909 00:46:17,960 --> 00:46:19,759 Speaker 4: Not that they would be not that I had many 910 00:46:19,840 --> 00:46:21,920 Speaker 4: who actually fall into that at all, because it's all 911 00:46:22,000 --> 00:46:24,480 Speaker 4: private sector. But that's, you know, like, but I'm just 912 00:46:24,560 --> 00:46:27,240 Speaker 4: I'm just getting ideas. I'm just getting ideas again, totally different. 913 00:46:27,280 --> 00:46:30,040 Speaker 2: But but this is the thing what good journalism is 914 00:46:30,120 --> 00:46:34,160 Speaker 2: because it's like, these messy little lines between informations are 915 00:46:34,239 --> 00:46:37,680 Speaker 2: not disclosed exactly. It wouldn't be as big a deal 916 00:46:37,880 --> 00:46:41,800 Speaker 2: if they disclose this stuff. But also the term analyst 917 00:46:41,960 --> 00:46:47,520 Speaker 2: is used very vaguely these days, totally confusing people. Citriny 918 00:46:47,600 --> 00:46:50,600 Speaker 2: research for example, that. 919 00:46:50,800 --> 00:46:53,200 Speaker 4: People who are for example, again get to the heart 920 00:46:53,239 --> 00:46:55,239 Speaker 4: of people who are like held to an industry reg 921 00:46:55,520 --> 00:46:58,120 Speaker 4: you know, regulated industry standard that like is very like 922 00:46:58,480 --> 00:47:03,480 Speaker 4: closely held, closely watch versus not. That's a perfect yeah, 923 00:47:03,640 --> 00:47:04,360 Speaker 4: perfect example. 924 00:47:04,560 --> 00:47:06,279 Speaker 2: All Right, I think we're gonna wrap it there. We've 925 00:47:06,280 --> 00:47:07,080 Speaker 2: had a great time. 926 00:47:07,239 --> 00:47:10,239 Speaker 3: Where can we find you two, I'm on x at 927 00:47:10,400 --> 00:47:13,360 Speaker 3: Nick Dever Underscore, or you can check out my newly 928 00:47:13,480 --> 00:47:18,759 Speaker 3: launched website Nicked and sorry, don't cancel the ed I 929 00:47:18,800 --> 00:47:25,080 Speaker 3: can't believe you outed me at the end or Barons 930 00:47:25,120 --> 00:47:25,480 Speaker 3: dot com. 931 00:47:25,680 --> 00:47:27,359 Speaker 1: Yes, you can find me on Barons dot com. 932 00:47:27,840 --> 00:47:30,320 Speaker 2: All right, everyone, you can find me of course, where's 933 00:47:30,360 --> 00:47:32,760 Speaker 2: your ed dot at Better offline dot com. This podcast 934 00:47:32,800 --> 00:47:34,879 Speaker 2: that you're already listening to you love them one log 935 00:47:34,960 --> 00:47:46,000 Speaker 2: later in the week. Thank you all, Thank you, thank 936 00:47:46,000 --> 00:47:47,360 Speaker 2: you for listening to Better Offline. 937 00:47:47,640 --> 00:47:50,040 Speaker 6: The editor and composer of the Better Offline theme song 938 00:47:50,120 --> 00:47:52,759 Speaker 6: is Matasowski. You can check out more of his music 939 00:47:52,800 --> 00:47:56,279 Speaker 6: and audio projects at Matasowski dot com, M A T 940 00:47:56,440 --> 00:47:59,920 Speaker 6: T O, S O W S k I dot com. 941 00:48:00,840 --> 00:48:03,080 Speaker 5: You can email me at easy at better offline dot 942 00:48:03,160 --> 00:48:05,400 Speaker 5: com or visit better offline dot com to find more 943 00:48:05,440 --> 00:48:08,759 Speaker 5: podcast links and of course my newsletter. I also really 944 00:48:08,840 --> 00:48:11,040 Speaker 5: recommend you go to chat dot Where's youread dot at 945 00:48:11,160 --> 00:48:13,560 Speaker 5: to visit the discord, and go to our slash. 946 00:48:13,360 --> 00:48:16,400 Speaker 1: Better Offline to check out I'll Reddit. Thank you so 947 00:48:16,600 --> 00:48:20,000 Speaker 1: much for listening. Better Offline is a production of cool 948 00:48:20,080 --> 00:48:20,600 Speaker 1: Zone Media. 949 00:48:20,800 --> 00:48:23,640 Speaker 4: For more from cool Zone Media, visit our website cool 950 00:48:23,680 --> 00:48:27,040 Speaker 4: Zonemedia dot com, or check us out on the iHeartRadio app, 951 00:48:27,120 --> 00:48:29,480 Speaker 4: Apple Podcasts, or wherever you get your podcasts.