1 00:00:00,040 --> 00:00:02,840 Speaker 1: It's sponsorship time. But you know what, it's really great 2 00:00:02,880 --> 00:00:06,040 Speaker 1: when you get a sponsor that you already use. And 3 00:00:06,120 --> 00:00:09,119 Speaker 1: guess what. Quint's is something that in the Todd household 4 00:00:09,200 --> 00:00:10,920 Speaker 1: we already go to. Why do we go to Quint's 5 00:00:10,920 --> 00:00:13,160 Speaker 1: Because it's a place you go where you can get 6 00:00:13,200 --> 00:00:16,680 Speaker 1: some really nice clothes without the really expensive prices. And 7 00:00:17,040 --> 00:00:18,840 Speaker 1: one of the things I've been going through is I've 8 00:00:18,880 --> 00:00:22,120 Speaker 1: transitioned from being mister cot and tie guy to wanting 9 00:00:22,400 --> 00:00:25,360 Speaker 1: a little more casual but to look nice doing it. 10 00:00:25,400 --> 00:00:27,880 Speaker 1: Is I've become mister quarter zip guy. Well guess what. 11 00:00:28,040 --> 00:00:31,920 Speaker 1: Guess who's got amazing amounts of quarter zips? It is Quints. 12 00:00:32,479 --> 00:00:36,000 Speaker 1: I have gotten quite a few already from there. The 13 00:00:36,040 --> 00:00:40,720 Speaker 1: stuff's really nice. They have Mongolian cashmere sweaters for fifty dollars. 14 00:00:40,840 --> 00:00:43,320 Speaker 1: I just know, hey, cashmere, that's pretty good. You don't 15 00:00:43,320 --> 00:00:46,400 Speaker 1: normally get that for fifty bucks or less. Italian wool 16 00:00:46,440 --> 00:00:49,279 Speaker 1: coats that look and feel like designer the stuff. I'll 17 00:00:49,280 --> 00:00:51,160 Speaker 1: be honest, right, you look at it online, you think, okay, 18 00:00:51,200 --> 00:00:52,680 Speaker 1: is this really as nice as it looks? Well, when 19 00:00:52,680 --> 00:00:54,600 Speaker 1: I got it, I was like, oh, this is real quality. 20 00:00:54,680 --> 00:00:57,080 Speaker 1: So yeah, I'm going to end up making sure I 21 00:00:57,120 --> 00:00:59,080 Speaker 1: take it to my dry cleaner so I don't screw 22 00:00:59,080 --> 00:01:01,680 Speaker 1: it up when I clean it. But I've been quite 23 00:01:01,720 --> 00:01:04,840 Speaker 1: impressed in Hey, it's holiday season. It is impossible to 24 00:01:05,080 --> 00:01:08,440 Speaker 1: shop for us middle aged men. I know this well. 25 00:01:08,480 --> 00:01:12,480 Speaker 1: Tell your kids, tell your spouses, tell your partners. 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My guest today as someone who's been 37 00:01:52,680 --> 00:01:56,200 Speaker 1: at the center of American politics, business tech uh for 38 00:01:56,240 --> 00:01:58,720 Speaker 1: the better part of a couple of decades, and because 39 00:01:58,840 --> 00:02:01,880 Speaker 1: there's so much happening in the world of business that 40 00:02:02,000 --> 00:02:06,160 Speaker 1: is intersecting with the world of politics, and Washington in 41 00:02:06,160 --> 00:02:11,360 Speaker 1: some ways is becoming an epicenter of business in a 42 00:02:11,400 --> 00:02:15,040 Speaker 1: derivative way, because it's frankly about a whole bunch of 43 00:02:15,040 --> 00:02:17,520 Speaker 1: companies trying to figure out what it takes to keep 44 00:02:17,600 --> 00:02:21,239 Speaker 1: Washington out of their business. But that in itself is 45 00:02:21,280 --> 00:02:24,679 Speaker 1: a big business. So my guest is Bradley Tusk. He's 46 00:02:24,680 --> 00:02:28,400 Speaker 1: a political strategist turned investor. He lives in this world 47 00:02:28,919 --> 00:02:31,520 Speaker 1: in between in a political side. He was the campaign 48 00:02:31,520 --> 00:02:36,359 Speaker 1: manager for Michael Bloomberg. And when Michael Bloomberg decided he 49 00:02:36,400 --> 00:02:39,079 Speaker 1: wanted a third term, which I wonder if in hindsight 50 00:02:39,160 --> 00:02:41,760 Speaker 1: he ever. I want to tell anybody who wants a 51 00:02:41,800 --> 00:02:45,200 Speaker 1: third term, don't do it. Yeah, third terms never go. 52 00:02:45,960 --> 00:02:47,560 Speaker 2: I'm trying. I was trying to sit here and think 53 00:02:47,600 --> 00:02:48,799 Speaker 2: of a good third term. 54 00:02:48,880 --> 00:02:53,040 Speaker 1: There's none, Bradley, there's none. Ask Mario Cuomo whether he 55 00:02:53,040 --> 00:02:55,720 Speaker 1: should have run for a third term. Ask Andrew Cuomo 56 00:02:55,760 --> 00:02:57,560 Speaker 1: whether he should have been thinking about a third term. 57 00:02:58,200 --> 00:03:01,840 Speaker 1: Third term. I Tim Walls is running for a third term. 58 00:03:01,880 --> 00:03:05,880 Speaker 1: I want to say, don't do it. There's no good 59 00:03:05,960 --> 00:03:09,040 Speaker 1: that comes from it. If you've if you've succeeded enough 60 00:03:09,080 --> 00:03:11,880 Speaker 1: that a third term is viable. There's nowhere to go 61 00:03:11,919 --> 00:03:12,320 Speaker 1: but down. 62 00:03:12,680 --> 00:03:14,959 Speaker 2: Yeah. I saw a study once it said that after 63 00:03:15,080 --> 00:03:18,320 Speaker 2: seven years, no matter who the chief executive is, people 64 00:03:18,320 --> 00:03:21,240 Speaker 2: are ready to move on. And that's like every Taco system, 65 00:03:21,360 --> 00:03:25,440 Speaker 2: whether it's a dictator or a mayor or a governor 66 00:03:25,520 --> 00:03:26,200 Speaker 2: or anything else. 67 00:03:26,480 --> 00:03:28,920 Speaker 1: Right, look at our own history. I mean, I'm a believer. 68 00:03:29,560 --> 00:03:30,960 Speaker 1: And this will get to a little bit of our 69 00:03:30,960 --> 00:03:33,960 Speaker 1: conversation here a little bit. But you know, I think 70 00:03:34,000 --> 00:03:36,800 Speaker 1: any Democrat that is still consumed with Trump is sort 71 00:03:36,800 --> 00:03:40,000 Speaker 1: of wasting their time. And I don't mean this. Look Trump, 72 00:03:40,240 --> 00:03:42,880 Speaker 1: there's a lot of things he's doing that you that 73 00:03:42,960 --> 00:03:45,480 Speaker 1: you may that may impact your life, and you've got 74 00:03:45,480 --> 00:03:47,800 Speaker 1: to care about it. I get it, But I don't 75 00:03:47,800 --> 00:03:50,640 Speaker 1: think he's you know, we're about to have a debate 76 00:03:50,680 --> 00:03:52,600 Speaker 1: about what the post Trump world's going to look like. 77 00:03:52,680 --> 00:03:54,880 Speaker 1: And I got to think people need to be focused 78 00:03:54,880 --> 00:03:57,800 Speaker 1: on that because he's been in our lives for a decade. 79 00:03:58,320 --> 00:04:01,040 Speaker 1: And guess what, nobody ever lasts that long. We're at 80 00:04:01,040 --> 00:04:04,280 Speaker 1: the tail end, right, the Reagan Bush eraw basically ended 81 00:04:04,280 --> 00:04:05,840 Speaker 1: with the nineteen ninety tax deal. 82 00:04:06,240 --> 00:04:06,480 Speaker 2: Right. 83 00:04:06,560 --> 00:04:09,680 Speaker 1: You know, Eisenhower lasted, you know, you know, his era 84 00:04:09,880 --> 00:04:13,040 Speaker 1: was about a decade, Kennedy, Johnson a decade, Nixon even 85 00:04:13,080 --> 00:04:15,440 Speaker 1: less than that. I mean, you know, Obama sort of, 86 00:04:15,640 --> 00:04:18,520 Speaker 1: you know, but it just we don't we sort of 87 00:04:18,560 --> 00:04:20,640 Speaker 1: wear out. And if you look at the modern era 88 00:04:20,720 --> 00:04:23,920 Speaker 1: of our presidents going back since World War Two, there's 89 00:04:23,960 --> 00:04:28,240 Speaker 1: a reason that sort of a movement sort of petered 90 00:04:28,279 --> 00:04:31,120 Speaker 1: out right in that eight to ten year mark in 91 00:04:31,200 --> 00:04:33,960 Speaker 1: some form or another, and we're ten years with Trumpere. 92 00:04:34,720 --> 00:04:39,560 Speaker 2: Yeah. Man, I think the question is to me, the 93 00:04:39,600 --> 00:04:42,880 Speaker 2: things that he's doing that will go away when he 94 00:04:42,960 --> 00:04:46,799 Speaker 2: goes away, and the things that he's done that will last, 95 00:04:47,040 --> 00:04:50,080 Speaker 2: of which some might prove to be good, but a 96 00:04:50,080 --> 00:04:52,320 Speaker 2: lot of it might prove to be pretty harmful long 97 00:04:52,400 --> 00:04:56,080 Speaker 2: term the area. And maybe this is where kind of 98 00:04:56,080 --> 00:04:58,279 Speaker 2: my perspective from the business side is a little different 99 00:04:58,320 --> 00:05:02,919 Speaker 2: than the typical person in the political world is I 100 00:05:02,960 --> 00:05:05,560 Speaker 2: don't like all the rule of law stuff, but I 101 00:05:05,600 --> 00:05:08,480 Speaker 2: think that that ends when he ends right. That is 102 00:05:08,600 --> 00:05:13,240 Speaker 2: very much a product of him specifically, Whereas some of 103 00:05:13,279 --> 00:05:16,920 Speaker 2: the steps he's taking around the economy really do worry 104 00:05:17,000 --> 00:05:20,400 Speaker 2: me from a much longer perspective as an investor, because 105 00:05:20,480 --> 00:05:23,800 Speaker 2: if I were China and I said I want to 106 00:05:23,839 --> 00:05:27,520 Speaker 2: put in the Manchurian candidate, and I want to undermine 107 00:05:27,600 --> 00:05:31,279 Speaker 2: the long term strength of the US, our economy, one 108 00:05:31,320 --> 00:05:33,520 Speaker 2: of the things you would really go after. So what 109 00:05:33,560 --> 00:05:37,120 Speaker 2: are the things to me that make our economy unique. 110 00:05:37,839 --> 00:05:41,480 Speaker 2: It's free trade, its intellectual property, it's rule of law, 111 00:05:41,680 --> 00:05:45,880 Speaker 2: it's independent markets, independent data. It is getting the very 112 00:05:45,920 --> 00:05:52,040 Speaker 2: best people through immigration. So a lot of the fundamental 113 00:05:52,279 --> 00:05:55,719 Speaker 2: things that make our economy truly unique, Investing in R 114 00:05:55,760 --> 00:05:59,240 Speaker 2: and D, investing in higher ed, all of that are 115 00:05:59,279 --> 00:06:02,800 Speaker 2: all things that Trump, for whatever reason, has really tried 116 00:06:02,839 --> 00:06:07,719 Speaker 2: to undermine. So I worry more about the impact of 117 00:06:07,839 --> 00:06:11,320 Speaker 2: just taking our strengths and undermining all of them than 118 00:06:11,480 --> 00:06:14,840 Speaker 2: whateverything he has said today that on truth social that 119 00:06:14,920 --> 00:06:17,120 Speaker 2: makes everyone upset. I don't care about that stuff. 120 00:06:17,560 --> 00:06:19,280 Speaker 1: No, I mean, to me, the biggest I've always said 121 00:06:19,279 --> 00:06:22,119 Speaker 1: that there's the presidency. Actually there's three different jobs wrapped 122 00:06:22,200 --> 00:06:26,920 Speaker 1: up in one. You're being elected to lead your party, 123 00:06:27,279 --> 00:06:30,239 Speaker 1: you're being elected to command our armed forces as commander 124 00:06:30,240 --> 00:06:32,200 Speaker 1: in chief, and you're being elected to be leader of 125 00:06:32,200 --> 00:06:35,480 Speaker 1: the free world. And he has chosen not to be 126 00:06:35,560 --> 00:06:40,240 Speaker 1: leader of the free world. And that is something that 127 00:06:40,680 --> 00:06:43,720 Speaker 1: the public doesn't realize is a problem until it's gone. 128 00:06:44,360 --> 00:06:46,799 Speaker 1: It's a very hard in fact, when you tell people 129 00:06:46,839 --> 00:06:48,360 Speaker 1: you want to be leader of the free world, No, 130 00:06:48,760 --> 00:06:50,440 Speaker 1: we don't want that. We don't want to be the 131 00:06:50,480 --> 00:06:52,280 Speaker 1: beat cop. But as I always say, you know, I 132 00:06:52,320 --> 00:06:54,320 Speaker 1: always say when people say I don't want to be 133 00:06:54,360 --> 00:06:56,919 Speaker 1: the world's policeman, I'm like, yeah, but somebody's going to be. 134 00:06:57,320 --> 00:07:00,560 Speaker 1: Would you rather be us or another country? You may 135 00:07:00,560 --> 00:07:03,040 Speaker 1: not want us to be the world's cop, but you're 136 00:07:03,080 --> 00:07:05,360 Speaker 1: not gonna like it if China is right. 137 00:07:05,440 --> 00:07:08,760 Speaker 2: Which then how do you explain the other day him 138 00:07:09,640 --> 00:07:13,240 Speaker 2: sending allowing the Vida to sell you know, the h 139 00:07:13,320 --> 00:07:17,720 Speaker 2: two hundred GPUs to China, right like it? There are 140 00:07:17,800 --> 00:07:21,120 Speaker 2: things that I don't get. So for example, he says that, 141 00:07:21,240 --> 00:07:28,120 Speaker 2: and look if you were a full free trade you know, absolutist, right. 142 00:07:28,520 --> 00:07:31,520 Speaker 2: But then the next day they issue an executive order saying, oh, 143 00:07:31,560 --> 00:07:34,680 Speaker 2: States can't regulate AI because it's a national security issue. 144 00:07:35,120 --> 00:07:37,280 Speaker 2: It can't be an ob security issue. If you just 145 00:07:37,360 --> 00:07:40,840 Speaker 2: took the most valuable thing that your biggest rival would 146 00:07:40,840 --> 00:07:42,280 Speaker 2: want and allow the to go to the. 147 00:07:43,800 --> 00:07:45,600 Speaker 1: Well, let's talk about this is actually the heart of 148 00:07:45,640 --> 00:07:48,440 Speaker 1: the conversation. I want to have which is, you know, 149 00:07:49,960 --> 00:07:53,920 Speaker 1: the business community in general has been frustrated with the 150 00:07:55,000 --> 00:08:00,160 Speaker 1: last two Democratic administrations, sure for too much regular, too 151 00:08:00,200 --> 00:08:06,400 Speaker 1: much regulation, too much red tape, things like this. And 152 00:08:06,480 --> 00:08:10,840 Speaker 1: I get the appeal of, Hey, isn't it great that 153 00:08:10,920 --> 00:08:13,160 Speaker 1: you don't have to have an army of lobbyists on 154 00:08:13,200 --> 00:08:15,080 Speaker 1: Capitol Hill? You just have to go into the Oval 155 00:08:15,120 --> 00:08:18,640 Speaker 1: office write one check or rite you know, or make 156 00:08:18,720 --> 00:08:22,200 Speaker 1: one board seat change whatever. You only have to placate 157 00:08:22,280 --> 00:08:24,400 Speaker 1: one individual as a hell of a lot easier than 158 00:08:24,440 --> 00:08:28,440 Speaker 1: placating you know, thirty members of Congress or ten senators 159 00:08:28,480 --> 00:08:30,840 Speaker 1: and all of that stuff. So I understand the efficiency 160 00:08:30,880 --> 00:08:37,480 Speaker 1: aspect of this, But are we doomed here because business 161 00:08:37,480 --> 00:08:40,560 Speaker 1: such as an easy relationship right now with Trump's version 162 00:08:40,600 --> 00:08:44,960 Speaker 1: of the Republican Party, that they're now going to expect 163 00:08:45,040 --> 00:08:48,360 Speaker 1: this kind of treatment from all politicians going forward. That 164 00:08:48,480 --> 00:08:51,000 Speaker 1: this is something that we can't put back in the bottle. 165 00:08:51,600 --> 00:08:55,200 Speaker 1: And I, you know, I'm sorry, I don't trust the 166 00:08:55,240 --> 00:08:58,960 Speaker 1: tech industry with AI without guardrails, because I saw what 167 00:08:59,000 --> 00:09:02,720 Speaker 1: the tech industry did was social media, which totally destroyed 168 00:09:02,920 --> 00:09:06,679 Speaker 1: our information ecosystem. So yeah, but this is the world 169 00:09:06,800 --> 00:09:10,400 Speaker 1: you live in, and you're navigating, so you tell me, so, I. 170 00:09:10,360 --> 00:09:15,120 Speaker 2: Would say, for me, the efficiency argument probably doesn't work 171 00:09:16,800 --> 00:09:20,000 Speaker 2: because it's it's too risky and too variable. Right, you 172 00:09:20,040 --> 00:09:24,240 Speaker 2: were dealing just with winning the favor of one very 173 00:09:24,320 --> 00:09:28,200 Speaker 2: mercurial person and who seems to a lot of the 174 00:09:28,280 --> 00:09:31,200 Speaker 2: time agree with the last person he spoke to about something, 175 00:09:31,720 --> 00:09:35,400 Speaker 2: and so I don't like the notion of basing an 176 00:09:35,440 --> 00:09:40,600 Speaker 2: investment strategy or regulatory strategy around that. And to me, 177 00:09:40,679 --> 00:09:44,959 Speaker 2: the right analogy is when I have a company that 178 00:09:45,000 --> 00:09:47,480 Speaker 2: I'm investing in that has some sort of new disruptive 179 00:09:47,600 --> 00:09:51,800 Speaker 2: technology that either we're taking on an entrenched interest and 180 00:09:51,800 --> 00:09:54,960 Speaker 2: there's a regulatory fight, or we're cruitting an entirely new 181 00:09:55,400 --> 00:09:59,840 Speaker 2: type of industry AI, crypto, flying cars, whatever, and you 182 00:09:59,840 --> 00:10:02,960 Speaker 2: need to build a regulatory framework. There's often the question 183 00:10:03,080 --> 00:10:06,080 Speaker 2: of do you go federal or do goo state? We 184 00:10:06,320 --> 00:10:09,800 Speaker 2: usually choose to go state by state, which is wildly inefficient. Right, 185 00:10:09,880 --> 00:10:12,440 Speaker 2: we're talking about fifty different bills or whatever it is 186 00:10:12,480 --> 00:10:14,160 Speaker 2: that we rules, whatever it might be that we have 187 00:10:14,240 --> 00:10:18,559 Speaker 2: to create or pass. However I can get outcomes. So 188 00:10:18,640 --> 00:10:23,600 Speaker 2: in twenty fifteen, the House Energy Subcommittee, on a bipartisan 189 00:10:23,679 --> 00:10:29,920 Speaker 2: basis passed unanimously legislation to begin the regulation of autonomous vehicles. 190 00:10:30,160 --> 00:10:33,560 Speaker 2: So right now, the US federal government has done nothing 191 00:10:34,160 --> 00:10:36,880 Speaker 2: to figure out how to regulator deal with self driving 192 00:10:36,920 --> 00:10:40,800 Speaker 2: cars or trucks or anything else. The bill passed the 193 00:10:40,920 --> 00:10:45,960 Speaker 2: subcommittee honesty and has never moved since, nor has federal 194 00:10:46,040 --> 00:10:50,319 Speaker 2: dot issued any sort of rules whatsoever as to how 195 00:10:50,679 --> 00:10:51,640 Speaker 2: this should work. 196 00:10:52,720 --> 00:10:55,640 Speaker 1: This is for presidential administrations. 197 00:10:54,960 --> 00:10:58,800 Speaker 2: Correct, right and at the same time in states that 198 00:10:58,920 --> 00:11:02,000 Speaker 2: you can like or not like any individual states rules 199 00:11:02,040 --> 00:11:05,920 Speaker 2: around autonomous vehicles, but they have them right, and you 200 00:11:05,960 --> 00:11:09,640 Speaker 2: can get to an outcome and even if you don't 201 00:11:09,640 --> 00:11:12,000 Speaker 2: get the president you want in one state, you have 202 00:11:12,040 --> 00:11:15,199 Speaker 2: fifty bytes at the apple. So oftentimes we're looking at 203 00:11:15,200 --> 00:11:18,680 Speaker 2: something and saying, Okay, where do we think is the 204 00:11:18,760 --> 00:11:22,000 Speaker 2: right starting point to launch this thing? Based on partly 205 00:11:22,040 --> 00:11:25,200 Speaker 2: the economics, so the market you know, and evermarally starts 206 00:11:25,200 --> 00:11:29,000 Speaker 2: in California, in New York and Texas, but also from 207 00:11:29,000 --> 00:11:32,200 Speaker 2: a political standpoint, where can we win? Because you know, 208 00:11:32,360 --> 00:11:34,559 Speaker 2: one of the things that when when I invest in 209 00:11:34,600 --> 00:11:38,200 Speaker 2: an early stage tech startup, I genuinely believe that people 210 00:11:38,240 --> 00:11:40,800 Speaker 2: are going to really like the product or the service 211 00:11:40,920 --> 00:11:44,040 Speaker 2: or otherwise I'm not deploying the capital or making the 212 00:11:44,080 --> 00:11:46,600 Speaker 2: investment in the first place, and so like. For example, 213 00:11:46,640 --> 00:11:48,880 Speaker 2: the very first tech company I ever did was Uber, 214 00:11:49,240 --> 00:11:53,679 Speaker 2: starting in twenty eleven. And my view, which was the 215 00:11:53,720 --> 00:11:57,600 Speaker 2: same as Travis's view, was people are really gonna like this, 216 00:11:58,200 --> 00:12:00,679 Speaker 2: So we just need to get this thing up and 217 00:12:00,760 --> 00:12:04,520 Speaker 2: running wherever we can show people how much better it 218 00:12:04,600 --> 00:12:07,600 Speaker 2: is in the taxi system, and then they will fight 219 00:12:07,679 --> 00:12:10,360 Speaker 2: for it. And in every market where we prove it, 220 00:12:10,360 --> 00:12:13,000 Speaker 2: it gets that much easier in the next market. And 221 00:12:13,000 --> 00:12:14,959 Speaker 2: that basically it was a big fight, and it was 222 00:12:15,000 --> 00:12:17,120 Speaker 2: city by city in that case, but it turned out 223 00:12:17,200 --> 00:12:21,160 Speaker 2: to be right. So I generally think the right strategy 224 00:12:21,160 --> 00:12:24,920 Speaker 2: to legalize most technology actually occurs at the unicipal or 225 00:12:24,960 --> 00:12:26,600 Speaker 2: state level, and not in Washington. 226 00:12:26,880 --> 00:12:29,599 Speaker 1: It's always been the I mean, look at the recreational 227 00:12:29,600 --> 00:12:33,719 Speaker 1: marijuana movement, the medical marijuana movement, same sex marriage. Right, 228 00:12:33,760 --> 00:12:38,720 Speaker 1: we've in some ways to create critical mass to convince 229 00:12:38,800 --> 00:12:41,720 Speaker 1: Congress that hey, you should get involved in this, you know, 230 00:12:42,040 --> 00:12:44,560 Speaker 1: having it emanate. I mean, that's the beauty of federalism, right, 231 00:12:44,600 --> 00:12:46,600 Speaker 1: Like that is that is supposed to be the beauty 232 00:12:46,600 --> 00:12:50,760 Speaker 1: of the system, which is why I'm glad to see 233 00:12:50,760 --> 00:12:55,520 Speaker 1: there's bipartisan concern about a moratorium on state regulations with AI, 234 00:12:56,320 --> 00:13:01,400 Speaker 1: and it it is you know that this is I 235 00:13:01,440 --> 00:13:04,680 Speaker 1: think this is where if I were, if I were 236 00:13:04,760 --> 00:13:09,600 Speaker 1: in this industry, I wouldn't want this. I mean, look 237 00:13:09,600 --> 00:13:12,160 Speaker 1: at the public right now. The public approval ratings of 238 00:13:12,200 --> 00:13:15,960 Speaker 1: AI are plummeting. Right we are, compared to the rest 239 00:13:16,000 --> 00:13:19,080 Speaker 1: of the world, more dystopian about AI than most other 240 00:13:19,360 --> 00:13:23,080 Speaker 1: civil societies. I would argue that has a lot to 241 00:13:23,120 --> 00:13:26,640 Speaker 1: do with how involved our polarizing president is with the industry. 242 00:13:26,920 --> 00:13:29,480 Speaker 1: I actually think if he were less involved, there'd be 243 00:13:29,559 --> 00:13:31,640 Speaker 1: fewer doom and gloomers about AI. 244 00:13:32,120 --> 00:13:35,640 Speaker 2: With two caddiats, one is I actually think the political 245 00:13:35,679 --> 00:13:38,080 Speaker 2: tsunami and AI hasn't even hate. 246 00:13:38,880 --> 00:13:40,720 Speaker 1: I agree twenty eight is going to be that. I 247 00:13:40,760 --> 00:13:44,440 Speaker 1: think it's I think the fear I believe the single 248 00:13:44,480 --> 00:13:46,439 Speaker 1: biggest issue in twenty eight, and we'll see it a 249 00:13:46,480 --> 00:13:48,680 Speaker 1: little bit in twenty six. He is going to be 250 00:13:48,720 --> 00:13:50,520 Speaker 1: fear of AI displacement. 251 00:13:50,080 --> 00:13:54,280 Speaker 2: Well displaced on our jobs, combined with so every data 252 00:13:54,320 --> 00:13:58,920 Speaker 2: center requires so much compute and so much energy that 253 00:13:58,960 --> 00:14:01,800 Speaker 2: they're expecting it to consumption to double. We're certainly that 254 00:14:01,920 --> 00:14:06,599 Speaker 2: doubling supply, which means consumers electric builds are going to skyrocket. 255 00:14:06,720 --> 00:14:08,920 Speaker 2: We already saw a little bit of this in Georgia. 256 00:14:09,880 --> 00:14:13,600 Speaker 1: Virginia, I mean Louden County. Man. You know, they were 257 00:14:13,600 --> 00:14:16,000 Speaker 1: making all this money lead some land on data centers. 258 00:14:16,240 --> 00:14:19,960 Speaker 1: It is now like you know, it's a they've declared 259 00:14:19,960 --> 00:14:20,920 Speaker 1: war on data centers. 260 00:14:21,080 --> 00:14:23,640 Speaker 2: I think we're going to see laws passing states this 261 00:14:23,760 --> 00:14:27,880 Speaker 2: year that say that localities cannot issue permits and zoning 262 00:14:28,080 --> 00:14:31,720 Speaker 2: for data centers without proof that there will not be 263 00:14:31,760 --> 00:14:35,720 Speaker 2: a corresponding price increase for consumers and electric bills. And 264 00:14:35,800 --> 00:14:38,520 Speaker 2: so you're right, But we had a world where let's 265 00:14:38,560 --> 00:14:42,160 Speaker 2: say that unemployment and the job numbers today, I think 266 00:14:42,240 --> 00:14:44,840 Speaker 2: further to except that they were valid. Further you know, 267 00:14:44,920 --> 00:14:49,240 Speaker 2: support of this thesis that if job displacement keeps going up, 268 00:14:49,280 --> 00:14:52,960 Speaker 2: and unemployment keeps rising and rising gets even potentially double digits, 269 00:14:53,600 --> 00:14:57,120 Speaker 2: and electric prices keep going up, and because of Tariff's 270 00:14:57,160 --> 00:15:00,160 Speaker 2: other consumer prices keep going up, and you know, only 271 00:15:00,240 --> 00:15:03,640 Speaker 2: five thirty guys like Sam Altman become trillionaires, but the 272 00:15:03,680 --> 00:15:05,080 Speaker 2: rest of the world's you know, that's of the country 273 00:15:05,080 --> 00:15:08,680 Speaker 2: city of eighteen percent unemployment. That's the French revolution man, 274 00:15:08,800 --> 00:15:13,520 Speaker 2: and I don't think either party necessarily understands that or 275 00:15:13,560 --> 00:15:16,480 Speaker 2: sees it coming. I think one, you know, Trump in 276 00:15:16,520 --> 00:15:19,000 Speaker 2: his view is like, doesn't matter. The only goal is 277 00:15:19,040 --> 00:15:20,680 Speaker 2: to get your hands on as much as you can 278 00:15:20,800 --> 00:15:23,720 Speaker 2: before you die. So therefore this at least fits with 279 00:15:23,800 --> 00:15:28,160 Speaker 2: his worldview. Democrats, I don't think have any plan at 280 00:15:28,160 --> 00:15:29,440 Speaker 2: all from one I can tell. 281 00:15:30,720 --> 00:15:33,560 Speaker 1: No, I don't think they do either, and it strikes 282 00:15:33,600 --> 00:15:38,440 Speaker 1: me and I'm curious. Look, I take it you're trying 283 00:15:38,440 --> 00:15:40,640 Speaker 1: to help Democrats be more pro business. 284 00:15:41,160 --> 00:15:43,720 Speaker 2: Yes, I mean, in part because that's how. 285 00:15:43,640 --> 00:15:45,800 Speaker 1: You would describe your you know, your sort of your 286 00:15:45,800 --> 00:15:47,280 Speaker 1: altruistic goals here. 287 00:15:47,680 --> 00:15:50,160 Speaker 2: Often times, and I think, you know, not counting what 288 00:15:50,200 --> 00:15:52,120 Speaker 2: I do out of my foundation, which is totally separate. 289 00:15:52,120 --> 00:15:55,880 Speaker 2: But yeah, and I think oftentimes I feel like, and 290 00:15:56,560 --> 00:16:01,200 Speaker 2: you might appreciate this more than most people. Both sides 291 00:16:01,440 --> 00:16:04,720 Speaker 2: are so dug in that they miss the underlying point. Right. 292 00:16:04,760 --> 00:16:08,160 Speaker 2: So you have these Silicon Valley types who are now 293 00:16:08,280 --> 00:16:11,720 Speaker 2: very powerful Washington a Mark Injuries or someone like that, right, 294 00:16:11,960 --> 00:16:15,920 Speaker 2: and they hate regulation and their Libertarians and that sort 295 00:16:15,920 --> 00:16:19,960 Speaker 2: of sounds great in theory, no rules, but in reality 296 00:16:20,320 --> 00:16:23,960 Speaker 2: you can't build multi multi billion dollar industries. In the 297 00:16:24,000 --> 00:16:26,600 Speaker 2: absence of all structure, you need a certain amount of 298 00:16:26,960 --> 00:16:30,520 Speaker 2: rules and regulation. Crypto, right needs a certain amount of 299 00:16:30,560 --> 00:16:34,000 Speaker 2: regulation to separate the coin basis of the world the 300 00:16:34,040 --> 00:16:36,920 Speaker 2: circles of the world. Companies that I've invested in with 301 00:16:37,360 --> 00:16:40,120 Speaker 2: total scams, right, And because there's a lot of fraud 302 00:16:40,160 --> 00:16:42,000 Speaker 2: in the crypto world, and there's also a lot of 303 00:16:42,480 --> 00:16:44,880 Speaker 2: genuine companies that you can decide whether or not buying 304 00:16:44,880 --> 00:16:47,400 Speaker 2: crypto is a good idea. That's up to the individual. 305 00:16:48,040 --> 00:16:51,360 Speaker 2: But crypto itself only works because there is some level 306 00:16:51,360 --> 00:16:55,960 Speaker 2: of regulation that says this exchange is permissible, this exchange 307 00:16:56,200 --> 00:16:59,400 Speaker 2: is not right, so you need that. But then, on 308 00:16:59,440 --> 00:17:02,440 Speaker 2: the other hand, democrats, by sort of playing to their 309 00:17:02,520 --> 00:17:06,600 Speaker 2: extremes that all capitalism and all wealth is inherently corrupt 310 00:17:06,640 --> 00:17:10,720 Speaker 2: and evil in some way totally missed the point because 311 00:17:10,800 --> 00:17:14,040 Speaker 2: people need to make a living, and people are aspirational 312 00:17:14,119 --> 00:17:17,200 Speaker 2: and want to do well, and so just vilifying everyone 313 00:17:17,440 --> 00:17:21,480 Speaker 2: doesn't work either. And the reality is regulation is neither 314 00:17:21,520 --> 00:17:25,239 Speaker 2: inherently good nor bad. It's how it's applied. Like, let 315 00:17:25,280 --> 00:17:28,679 Speaker 2: me give an example. I was driving once from Santa 316 00:17:28,720 --> 00:17:31,760 Speaker 2: Barbara to Alla, and I'm going down the Pacific Coast Highway, 317 00:17:32,280 --> 00:17:34,879 Speaker 2: and I'm appreciating how beautiful it is, because you'd have 318 00:17:34,920 --> 00:17:36,639 Speaker 2: to be something really wrong with you not to do 319 00:17:36,720 --> 00:17:39,359 Speaker 2: that right. And the thing that hit me was, Okay, 320 00:17:39,480 --> 00:17:43,000 Speaker 2: what I'm seeing is from my car window the ocean. 321 00:17:43,080 --> 00:17:46,920 Speaker 2: The reason why is that they are not gas stations 322 00:17:47,160 --> 00:17:50,720 Speaker 2: and you know, Chipolis and whatever else blocking the view 323 00:17:51,000 --> 00:17:53,840 Speaker 2: because of regulation. So in that case, I would say, 324 00:17:53,920 --> 00:17:56,760 Speaker 2: a good regulation, I didn't get to LA and I 325 00:17:56,920 --> 00:18:00,760 Speaker 2: run into all these homeless encampments. Now again, again that's 326 00:18:00,800 --> 00:18:04,200 Speaker 2: the product of regulation. Bad regulation in that case, those 327 00:18:04,200 --> 00:18:08,040 Speaker 2: are regulations that make constructing affordable housing way too expensive 328 00:18:08,040 --> 00:18:10,399 Speaker 2: and difficult, and people don't have anywhere to live as 329 00:18:10,440 --> 00:18:14,600 Speaker 2: a result. So basically, zoning regulation on the same street 330 00:18:15,080 --> 00:18:18,119 Speaker 2: right resulted in a net positive at one part of 331 00:18:18,160 --> 00:18:21,760 Speaker 2: it and negative in the other. And anyone on either 332 00:18:21,880 --> 00:18:25,480 Speaker 2: side who just declares unilaterally that something is inherently good 333 00:18:25,560 --> 00:18:27,400 Speaker 2: or bad just doesn't understand what they're talking. 334 00:18:29,119 --> 00:18:32,760 Speaker 1: Having good life insurance is incredibly important. I know from 335 00:18:32,800 --> 00:18:35,880 Speaker 1: personal experience. I was sixteen when my father passed away. 336 00:18:35,920 --> 00:18:38,320 Speaker 1: We didn't have any money. He didn't leave us in 337 00:18:38,359 --> 00:18:43,320 Speaker 1: the best shape. My mother, single mother now widow, myself sixteen, 338 00:18:43,400 --> 00:18:44,800 Speaker 1: trying to figure out how am I going to pay 339 00:18:44,800 --> 00:18:48,080 Speaker 1: for college? And lo and behold, my dad had one 340 00:18:48,160 --> 00:18:51,439 Speaker 1: life insurance policy that we found wasn't a lot, but 341 00:18:51,560 --> 00:18:54,320 Speaker 1: it was important at the time, and it's why I 342 00:18:54,440 --> 00:18:57,600 Speaker 1: was able to go to college. Little did he know 343 00:18:57,760 --> 00:19:01,760 Speaker 1: how important that would be in that well, guess what. 344 00:19:02,080 --> 00:19:04,640 Speaker 1: That's why I am here to tell you about Ethos Life. 345 00:19:05,000 --> 00:19:07,360 Speaker 1: They can provide you with peace of mind knowing your 346 00:19:07,400 --> 00:19:11,040 Speaker 1: family is protected even if the worst comes to pass. 347 00:19:11,040 --> 00:19:14,320 Speaker 1: Ethos is an online platform that makes getting life insurance 348 00:19:14,320 --> 00:19:17,439 Speaker 1: fast and easy, all designed to protect your family's future 349 00:19:17,480 --> 00:19:21,000 Speaker 1: in minutes, not months. There's no complicated process, and it's 350 00:19:21,119 --> 00:19:25,320 Speaker 1: one hundred percent online. There's no medical exam require you 351 00:19:25,400 --> 00:19:27,880 Speaker 1: just answer a few health questions online. You can get 352 00:19:27,880 --> 00:19:29,639 Speaker 1: a quote in as little as ten minutes, and you 353 00:19:29,680 --> 00:19:33,359 Speaker 1: can get same day coverage without ever leaving your home. 354 00:19:34,080 --> 00:19:35,959 Speaker 1: You can get up to three million dollars in coverage, 355 00:19:36,000 --> 00:19:38,000 Speaker 1: and some policies start as low as two dollars a 356 00:19:38,119 --> 00:19:41,399 Speaker 1: day that would be billed monthly. As of March twenty 357 00:19:41,400 --> 00:19:44,399 Speaker 1: twenty five, Business Insider named Ethos the number one no 358 00:19:44,520 --> 00:19:48,919 Speaker 1: medical exam instant life insurance provider. So protect your family 359 00:19:49,440 --> 00:19:52,239 Speaker 1: with life insurance from Ethos. Get your free quote at 360 00:19:52,240 --> 00:19:56,520 Speaker 1: ethos dot com slash chuck. So again that's Ethos dot 361 00:19:56,520 --> 00:20:01,720 Speaker 1: com slash chuck. Application times vary and the rates themselves 362 00:20:01,720 --> 00:20:04,639 Speaker 1: may vary as well, but trust me, life insurance is 363 00:20:04,680 --> 00:20:07,640 Speaker 1: something you should really think about, especially if you've got 364 00:20:07,640 --> 00:20:14,000 Speaker 1: a growing family. You know, it's funny, I keep it 365 00:20:14,240 --> 00:20:18,000 Speaker 1: feels as if the Democrats are looking for the twenty 366 00:20:18,040 --> 00:20:21,600 Speaker 1: first century version of Bill Clinton, who who struck this 367 00:20:21,760 --> 00:20:25,240 Speaker 1: balance right now. He did it out of necessity. Democrats 368 00:20:25,280 --> 00:20:29,359 Speaker 1: had lost three straight presidential elections, all of them were blowouts. 369 00:20:30,080 --> 00:20:32,600 Speaker 1: It was sort of you kind of had to have 370 00:20:32,680 --> 00:20:36,959 Speaker 1: a Democrat who acknowledged at that point in time. And 371 00:20:37,000 --> 00:20:38,600 Speaker 1: I have a friend of mine who we argue, is 372 00:20:38,600 --> 00:20:41,800 Speaker 1: the country center right or are the institutions center right right? 373 00:20:41,880 --> 00:20:45,640 Speaker 1: The constitution sort of arguably gives the minority a bit. 374 00:20:45,760 --> 00:20:49,960 Speaker 1: You know, you could our rules give the current structure 375 00:20:50,359 --> 00:20:52,760 Speaker 1: the right side of the spectrum has more advantages. I 376 00:20:52,760 --> 00:20:55,760 Speaker 1: could argue fifty years ago that same structure gave sort 377 00:20:55,800 --> 00:21:00,720 Speaker 1: of the Democrats a little bit more. But at some 378 00:21:00,800 --> 00:21:04,000 Speaker 1: point that is the structure that we live under. But 379 00:21:04,040 --> 00:21:07,280 Speaker 1: Bill Clinton sort of you know want, Hey, we should 380 00:21:07,320 --> 00:21:13,199 Speaker 1: have a rules based, opportunity focused society, right like you know, 381 00:21:13,359 --> 00:21:18,040 Speaker 1: should be fair, equal access and opportunity, and I remember 382 00:21:18,359 --> 00:21:23,600 Speaker 1: responsibility and opportunity, right, that balance between the two. I 383 00:21:23,880 --> 00:21:26,400 Speaker 1: guess you know. I could say Obama tried to get 384 00:21:26,400 --> 00:21:28,720 Speaker 1: that messaging, and he was better about it by twenty eleven, 385 00:21:28,800 --> 00:21:32,119 Speaker 1: twenty twelve. Frankly out of necessity, right he was. He 386 00:21:32,160 --> 00:21:35,080 Speaker 1: had a tough reelection, and he borrowed more of the 387 00:21:35,080 --> 00:21:38,080 Speaker 1: Bill Clinton language or the Teddy Roosevelt language of the 388 00:21:38,080 --> 00:21:41,720 Speaker 1: Square Deal things like that. It seems as if we 389 00:21:41,880 --> 00:21:45,760 Speaker 1: just haven't found the politician to meet the moment that 390 00:21:45,760 --> 00:21:47,920 Speaker 1: we're in. I think we all know them. We want 391 00:21:47,920 --> 00:21:51,840 Speaker 1: to be both aspirational but with a I think we 392 00:21:51,880 --> 00:21:54,719 Speaker 1: want a stronger safety net, and we haven't figured out 393 00:21:54,760 --> 00:21:57,800 Speaker 1: how to. Donald Trump said, hey, I can do both, 394 00:21:58,359 --> 00:22:00,800 Speaker 1: but he couldn't. Right, he doesn't really have the He 395 00:22:00,840 --> 00:22:04,320 Speaker 1: doesn't really have a political party behind him that actually 396 00:22:04,359 --> 00:22:08,560 Speaker 1: wants to do both. And I think there are those 397 00:22:08,600 --> 00:22:11,159 Speaker 1: in the Business Committee that don't believe the left wants 398 00:22:11,160 --> 00:22:15,440 Speaker 1: to create what you said, a society that allows for wealth, 399 00:22:15,760 --> 00:22:18,400 Speaker 1: right right, Yes, they want the strong social safety net. 400 00:22:18,720 --> 00:22:21,960 Speaker 1: So with Ultimately, what we really want is strong safety 401 00:22:22,040 --> 00:22:24,560 Speaker 1: net and a realistic path. 402 00:22:25,119 --> 00:22:27,159 Speaker 2: And look, it's harder stand the other day, right, So, 403 00:22:27,320 --> 00:22:31,520 Speaker 2: capitalism as a system, to me, I think almost just 404 00:22:31,560 --> 00:22:35,080 Speaker 2: incontrovertibly is the greatest system ever created because if you 405 00:22:35,119 --> 00:22:37,280 Speaker 2: look at the last eighty years since World War Two, 406 00:22:37,960 --> 00:22:41,520 Speaker 2: three billion people who were living in extreme poverty now 407 00:22:41,600 --> 00:22:45,840 Speaker 2: have clean drinking water and electricity and less infant mortality 408 00:22:45,840 --> 00:22:48,520 Speaker 2: and longer life expectancy in higher literacy. You know all 409 00:22:48,560 --> 00:22:51,480 Speaker 2: those stats, right, So unquestioningly none of that happens without 410 00:22:51,480 --> 00:22:57,840 Speaker 2: globalization and capitalism. Capitalism, when taken into its full logical extreme, 411 00:22:57,880 --> 00:22:59,600 Speaker 2: which is kind of what we tend to have here, 412 00:23:01,280 --> 00:23:04,240 Speaker 2: often results in a lot of unhappiness and a lot 413 00:23:04,280 --> 00:23:07,680 Speaker 2: of people who are frustrated with the system. Because if 414 00:23:07,680 --> 00:23:12,760 Speaker 2: the only ultimate goal to be successful and happy is 415 00:23:12,800 --> 00:23:16,960 Speaker 2: to accumulate as much status and wealth as possible by definition, 416 00:23:17,080 --> 00:23:19,320 Speaker 2: ninety nine percent of people can't be in the one percent, 417 00:23:19,400 --> 00:23:22,760 Speaker 2: and those ninety nine percent are upset. So then you 418 00:23:22,760 --> 00:23:24,760 Speaker 2: look at it say, okay, well does Finland or someone 419 00:23:24,840 --> 00:23:27,199 Speaker 2: have it right, because it's capitalism, but with a much 420 00:23:27,200 --> 00:23:30,960 Speaker 2: stronger social safety net, like you said, so, yes, people 421 00:23:31,000 --> 00:23:33,119 Speaker 2: there if you look at say the World Happiness Report, 422 00:23:33,240 --> 00:23:37,480 Speaker 2: are exponentially happier because both they feel compelled to need 423 00:23:37,680 --> 00:23:40,920 Speaker 2: less and they have more on the on the floor. 424 00:23:41,560 --> 00:23:44,439 Speaker 2: But when you look at the last thirty years or 425 00:23:44,440 --> 00:23:46,800 Speaker 2: so and look at all of the innovation in the 426 00:23:46,840 --> 00:23:49,960 Speaker 2: world that has emerged, basically none of it has come 427 00:23:49,960 --> 00:23:52,679 Speaker 2: from Europe right other than Spotify, and there's not a 428 00:23:52,840 --> 00:23:56,440 Speaker 2: giant tech company that's been invented. So if you were 429 00:23:56,480 --> 00:23:59,399 Speaker 2: to say, Okay, the US will be Scandinavia, as the 430 00:23:59,480 --> 00:24:02,879 Speaker 2: Left I think would like to see the case, yes, 431 00:24:03,240 --> 00:24:06,000 Speaker 2: you will have a higher floor for people, and I 432 00:24:06,119 --> 00:24:08,679 Speaker 2: believe in that. But at the same time, there is 433 00:24:08,800 --> 00:24:12,600 Speaker 2: something about our system that is incredibly unique and that 434 00:24:12,800 --> 00:24:16,880 Speaker 2: encourages the kind of innovation that has lifted the billions 435 00:24:16,920 --> 00:24:20,119 Speaker 2: of extremely poor people that in theory the lefts you 436 00:24:20,240 --> 00:24:22,720 Speaker 2: care about the most out of poverty. 437 00:24:22,840 --> 00:24:25,040 Speaker 1: Well, I do think I'm one of those who believes 438 00:24:25,080 --> 00:24:28,760 Speaker 1: it's because we're a nation and immigrants that we that 439 00:24:28,880 --> 00:24:32,040 Speaker 1: if we if we have I think what you're I 440 00:24:32,080 --> 00:24:34,439 Speaker 1: think we could we would already be Scandinavia if we 441 00:24:34,440 --> 00:24:39,000 Speaker 1: weren't continuing to have fairly open doors, meaning if we 442 00:24:39,000 --> 00:24:42,639 Speaker 1: weren't importing more people who want it, who are looking 443 00:24:42,680 --> 00:24:45,679 Speaker 1: for the American dream. Like in some ways third and 444 00:24:45,720 --> 00:24:49,480 Speaker 1: fourth generation Americans are more satisfied than first and second 445 00:24:49,520 --> 00:24:50,360 Speaker 1: generation of Americas. 446 00:24:50,400 --> 00:24:53,399 Speaker 2: So would you say then that, let's say we have 447 00:24:53,560 --> 00:24:58,840 Speaker 2: so I would argue, which have exponentially higher legal immigration? Right, 448 00:25:00,119 --> 00:25:02,480 Speaker 2: perfect world. You know who was at the quotas the 449 00:25:02,520 --> 00:25:05,159 Speaker 2: Bureau of Labor Stistics, because they would say, okay, the 450 00:25:05,200 --> 00:25:07,240 Speaker 2: construction industry has this whole. 451 00:25:07,200 --> 00:25:10,040 Speaker 1: Hospitality this by the way, along with the Social Security 452 00:25:10,200 --> 00:25:16,399 Speaker 1: Administration where because we need new workers to fund Social Security, correct, right. 453 00:25:16,320 --> 00:25:18,960 Speaker 2: You need tens of millions potentially of people. And that's 454 00:25:18,960 --> 00:25:22,040 Speaker 2: not at all exclusive with having strong borders. But the 455 00:25:22,119 --> 00:25:25,280 Speaker 2: question is if we said we're going to keep bringing 456 00:25:25,280 --> 00:25:27,560 Speaker 2: in the greatest talent from all over the world, and 457 00:25:27,640 --> 00:25:29,720 Speaker 2: if we do that, we're always going to have the 458 00:25:29,800 --> 00:25:31,840 Speaker 2: kind of innovation we need because those are I'm a 459 00:25:31,880 --> 00:25:34,080 Speaker 2: first generation America and I know I was raised in 460 00:25:34,080 --> 00:25:35,840 Speaker 2: an immigrant house, so I know exactly what this is. 461 00:25:35,840 --> 00:25:38,080 Speaker 1: You like, right, right, It's always like you were I 462 00:25:38,119 --> 00:25:40,359 Speaker 1: mean education. First look, I grew up in Miami, an 463 00:25:40,359 --> 00:25:45,000 Speaker 1: immigrant community where it was just you felt it all around. 464 00:25:45,040 --> 00:25:49,159 Speaker 1: Everybody in that community even frankly, even the domestic you know, 465 00:25:49,240 --> 00:25:53,160 Speaker 1: even those second third generation Americans like myself. You moved 466 00:25:53,160 --> 00:25:56,040 Speaker 1: to Miami for opportunity. Nobody was a native of there. 467 00:25:56,080 --> 00:25:58,240 Speaker 1: You were there for opportunities. So it had it had 468 00:25:58,240 --> 00:26:01,160 Speaker 1: an immigrants mentality, which means it hustlers. Everybody hustle. 469 00:26:01,200 --> 00:26:04,480 Speaker 2: So let's say that we really increase that, which again 470 00:26:04,520 --> 00:26:06,359 Speaker 2: does not in any way have to me not having 471 00:26:06,359 --> 00:26:08,560 Speaker 2: strong border security. They're not mutual exclusive at all. But 472 00:26:08,640 --> 00:26:10,520 Speaker 2: let's say that we said we are going to radically 473 00:26:10,520 --> 00:26:13,600 Speaker 2: increase legal immigration so that the people who are the 474 00:26:13,640 --> 00:26:17,200 Speaker 2: hustlers are constantly coming in. Right, if you did that, 475 00:26:17,600 --> 00:26:20,119 Speaker 2: could you have the kind of social safety net that 476 00:26:20,119 --> 00:26:26,240 Speaker 2: Scandinavia has without deterring the innovation that America has because 477 00:26:26,280 --> 00:26:29,960 Speaker 2: that combination of the new people constantly coming in takes 478 00:26:29,960 --> 00:26:30,920 Speaker 2: care of that problem. 479 00:26:32,480 --> 00:26:34,359 Speaker 1: Well, it depends on when you make them eligible for 480 00:26:34,400 --> 00:26:35,000 Speaker 1: the safety net. 481 00:26:35,040 --> 00:26:37,080 Speaker 2: Now, right, Oh, fair point. 482 00:26:37,800 --> 00:26:41,280 Speaker 1: And I think you and I think this is what 483 00:26:41,680 --> 00:26:44,119 Speaker 1: I'm what we're talking about here. Some people would say, 484 00:26:44,119 --> 00:26:45,760 Speaker 1: as heartless, what do you mean you wouldn't make the 485 00:26:45,800 --> 00:26:50,440 Speaker 1: safety net available for the immediate first gen family at 486 00:26:50,440 --> 00:26:52,480 Speaker 1: the same You know, I but I think that would 487 00:26:52,520 --> 00:26:55,000 Speaker 1: be a debate, and I think that's a fair political 488 00:26:55,000 --> 00:26:58,040 Speaker 1: debate to have. Is I don't think when should somebody 489 00:26:58,080 --> 00:27:01,480 Speaker 1: be eligible for the social safety net in the United States? 490 00:27:01,520 --> 00:27:03,760 Speaker 1: You know, you certainly need to become the citizen, right, 491 00:27:03,840 --> 00:27:06,200 Speaker 1: I think that that's a fair that's a fair bar. 492 00:27:06,320 --> 00:27:08,160 Speaker 1: You have to do the work to be a citizen. 493 00:27:08,320 --> 00:27:10,240 Speaker 1: You have to proact. Now, I'll tell you this. I 494 00:27:10,240 --> 00:27:12,640 Speaker 1: remember this great George W. Bush quote when he used 495 00:27:12,680 --> 00:27:14,800 Speaker 1: to talk about people coming over there. He goes, anybody 496 00:27:14,880 --> 00:27:18,359 Speaker 1: that's going to go over is going to fight the 497 00:27:18,520 --> 00:27:23,439 Speaker 1: environmental elements to get across the Rio Grande River. I 498 00:27:23,440 --> 00:27:25,440 Speaker 1: want them in America. Yeah, because they're going to be 499 00:27:25,440 --> 00:27:26,040 Speaker 1: great workers. 500 00:27:26,200 --> 00:27:28,520 Speaker 2: Yeah, that's totally hart. Well, look, do you remember when 501 00:27:30,560 --> 00:27:33,920 Speaker 2: Eric Adams all these migrants showed up in New York 502 00:27:33,960 --> 00:27:37,760 Speaker 2: City and Eric Adams made the decision that New York 503 00:27:37,760 --> 00:27:41,040 Speaker 2: City would house and feed everyone. Even though I am 504 00:27:41,200 --> 00:27:44,480 Speaker 2: wildly promegration and our first generation American, I thought that 505 00:27:44,640 --> 00:27:47,480 Speaker 2: was crazy for two reasons. One, so they didn't have 506 00:27:47,480 --> 00:27:49,520 Speaker 2: the money to do that. It came to the expense 507 00:27:49,600 --> 00:27:53,200 Speaker 2: of sanitation and police and schools and everything else. But two, 508 00:27:54,920 --> 00:27:58,760 Speaker 2: my family, your family, you know, millions of families have 509 00:27:58,920 --> 00:28:00,960 Speaker 2: come here, and what there are asking for is not 510 00:28:01,320 --> 00:28:04,040 Speaker 2: free housing or free food. What they're asking for is 511 00:28:04,160 --> 00:28:07,719 Speaker 2: the opportunity to work and to make a living. And 512 00:28:07,760 --> 00:28:09,840 Speaker 2: I don't think you needed to provide that because I 513 00:28:09,840 --> 00:28:12,200 Speaker 2: think people would have gone to where the jobs were. 514 00:28:12,520 --> 00:28:14,160 Speaker 2: Some might be in New York City, a lot might 515 00:28:14,160 --> 00:28:16,880 Speaker 2: be at meat packing plants in Iowa or something like that. 516 00:28:16,880 --> 00:28:20,720 Speaker 2: That's fine, right, But I don't think you even necessarily 517 00:28:20,840 --> 00:28:23,359 Speaker 2: need to at the beginning, because the truth is, most 518 00:28:23,359 --> 00:28:26,760 Speaker 2: immigrants just want to work, and the economy has a 519 00:28:26,800 --> 00:28:29,199 Speaker 2: lot of holes of jobs that are needed to be 520 00:28:29,200 --> 00:28:31,679 Speaker 2: filled that most Americans don't want to do. And so 521 00:28:31,800 --> 00:28:34,280 Speaker 2: I think the problem kind of solves itself if you 522 00:28:34,440 --> 00:28:35,439 Speaker 2: just let it happen. 523 00:28:36,480 --> 00:28:38,480 Speaker 1: No, I mean, it's by the way, it's been true 524 00:28:38,480 --> 00:28:43,280 Speaker 1: if you fought, you know before, if you look at 525 00:28:43,320 --> 00:28:47,520 Speaker 1: the immigration patterns at the border pre say twenty fifteen, okay, 526 00:28:47,560 --> 00:28:51,200 Speaker 1: and we've had some different surges for different reasons, I 527 00:28:51,200 --> 00:28:54,240 Speaker 1: would argue since then, but it usually went if we 528 00:28:54,360 --> 00:28:57,320 Speaker 1: had a lot of ope, but if our economy was humming, 529 00:28:57,600 --> 00:28:59,880 Speaker 1: there were more people at the border. If our economy 530 00:29:00,080 --> 00:29:02,880 Speaker 1: and humming, there were fewer people at the border. I mean, 531 00:29:03,160 --> 00:29:05,360 Speaker 1: you know, if you thought you could find work in 532 00:29:05,400 --> 00:29:07,560 Speaker 1: the United States, you came. If you didn't think you 533 00:29:07,600 --> 00:29:09,960 Speaker 1: could find work, you weren't going to risk your life to. 534 00:29:09,920 --> 00:29:13,240 Speaker 2: Come, right, right, Yeah, I think that that's I think 535 00:29:13,240 --> 00:29:16,160 Speaker 2: that that's right, and I think I mean, it seems 536 00:29:16,320 --> 00:29:20,360 Speaker 2: like it's a puzzle, right, which is, if you accept 537 00:29:20,720 --> 00:29:25,080 Speaker 2: that most people want others to do well right now, 538 00:29:25,240 --> 00:29:27,720 Speaker 2: some of us have easier some mentality where literally we 539 00:29:27,840 --> 00:29:30,280 Speaker 2: believe that if you win, that means that I lose, 540 00:29:30,320 --> 00:29:33,160 Speaker 2: and I think the president has that mentality quite frankly. 541 00:29:33,520 --> 00:29:38,640 Speaker 2: But overall, what we're really talking about is enough resources, 542 00:29:38,920 --> 00:29:42,640 Speaker 2: enough of a social statety, and enough opportunity and balancing 543 00:29:42,680 --> 00:29:45,400 Speaker 2: it so that it's fair so that people aren't starving. 544 00:29:45,520 --> 00:29:47,400 Speaker 2: And yet we are still innovating and creating. 545 00:29:48,040 --> 00:29:50,760 Speaker 1: So let me go back to sort of the premise 546 00:29:50,840 --> 00:29:53,440 Speaker 1: that I that I really want you to deal with, 547 00:29:53,480 --> 00:29:58,240 Speaker 1: which is, is the business community going to see the 548 00:29:58,480 --> 00:30:01,600 Speaker 1: Trump way of doing things and not want to risk 549 00:30:01,680 --> 00:30:05,000 Speaker 1: of going back And basically, look, you brought up crypto. 550 00:30:06,440 --> 00:30:09,880 Speaker 1: Whatever you think of crypto, the industry decided, hey man, 551 00:30:09,920 --> 00:30:12,600 Speaker 1: we're tired of waiting to convince the left on this. 552 00:30:13,040 --> 00:30:19,240 Speaker 1: We're just going to buy supporters, right. You know, Look, 553 00:30:19,240 --> 00:30:21,280 Speaker 1: they're not the first industry to decide to do that, 554 00:30:21,920 --> 00:30:24,560 Speaker 1: but it was kind of it's kind of gross just 555 00:30:24,640 --> 00:30:27,600 Speaker 1: looking at it from my perspective, You're like, I don't 556 00:30:27,800 --> 00:30:31,160 Speaker 1: we're not making We didn't create that. That Genius Act 557 00:30:31,240 --> 00:30:33,400 Speaker 1: didn't pass because we thought it was a good idea. 558 00:30:33,440 --> 00:30:39,160 Speaker 1: It passed because they bought enough politicians. I could argue, okay, 559 00:30:39,240 --> 00:30:41,440 Speaker 1: and we can we can have a we can we can. 560 00:30:42,280 --> 00:30:48,520 Speaker 1: You know, I am pro blockchain, less convinced on the 561 00:30:48,640 --> 00:30:53,240 Speaker 1: value of of of of the of the coins themselves, 562 00:30:53,240 --> 00:30:56,880 Speaker 1: but I accept the pre tokenization I get right like, 563 00:30:56,960 --> 00:30:59,640 Speaker 1: I'm I find myself. I'm in I'm in the middle 564 00:30:59,640 --> 00:31:04,240 Speaker 1: on this. I worry that the value scam on one hand, 565 00:31:04,400 --> 00:31:07,320 Speaker 1: to get rich quick scheme part of it, versus the 566 00:31:07,400 --> 00:31:10,360 Speaker 1: blockchain and all of that, which is a different type 567 00:31:10,360 --> 00:31:14,880 Speaker 1: of technology. But if I look at if I'm an 568 00:31:15,160 --> 00:31:17,400 Speaker 1: upstart industry in any sort, and I look at what 569 00:31:17,520 --> 00:31:22,040 Speaker 1: crypto pulled off, why do I want to risk the 570 00:31:22,080 --> 00:31:24,200 Speaker 1: other party coming in, who is just at the end 571 00:31:24,200 --> 00:31:25,920 Speaker 1: of the day going to be more bureaucratic. 572 00:31:26,480 --> 00:31:29,800 Speaker 2: Yeah, well, but flipping around depends on the industry right. 573 00:31:29,840 --> 00:31:33,680 Speaker 2: So if you are the solar and wind energy industry, 574 00:31:33,880 --> 00:31:36,560 Speaker 2: you feel exactly the opposite. Right. You felt like under 575 00:31:36,640 --> 00:31:40,280 Speaker 2: the Democrats you had the kind of regulatory structure, the 576 00:31:40,320 --> 00:31:42,760 Speaker 2: kind of tax credits, the grants, everything else that you 577 00:31:43,080 --> 00:31:46,200 Speaker 2: wanted and needed, and Trump came away and came in 578 00:31:46,240 --> 00:31:46,960 Speaker 2: and threw the big viewery. 579 00:31:47,080 --> 00:31:49,719 Speaker 1: I hear you. But should any industry be basically at 580 00:31:49,760 --> 00:31:51,560 Speaker 1: the whims of which party wins? 581 00:31:52,240 --> 00:31:55,440 Speaker 2: I mean, to a certain extent, that is the point 582 00:31:55,440 --> 00:31:59,560 Speaker 2: of democracy, right. I think the bigger question really becomes 583 00:32:00,120 --> 00:32:03,959 Speaker 2: who's making the decisions? And to me, the real problem 584 00:32:04,000 --> 00:32:07,320 Speaker 2: is a structure one in that if you accept that 585 00:32:07,520 --> 00:32:11,280 Speaker 2: in a world of gerrymandering, only the primary matters ninety 586 00:32:11,280 --> 00:32:13,600 Speaker 2: plus percent of the time, and Stat's proved that out. 587 00:32:13,920 --> 00:32:16,120 Speaker 2: And if you look at primary turnout, which is typically 588 00:32:16,160 --> 00:32:19,880 Speaker 2: about ten to fifteen percent, and those voters are typically 589 00:32:19,880 --> 00:32:22,440 Speaker 2: the extremes, either the far right or the far left, 590 00:32:22,760 --> 00:32:24,880 Speaker 2: or different special interests that can move money and votes, 591 00:32:24,920 --> 00:32:27,800 Speaker 2: whether it's fair Shake doing Crypto or the teachers unions 592 00:32:27,880 --> 00:32:30,640 Speaker 2: or whoever it might be. And if you accept that 593 00:32:30,680 --> 00:32:33,920 Speaker 2: politicians will always do whatever it takes to get re elected, 594 00:32:34,400 --> 00:32:37,240 Speaker 2: then by definition they're governing for that ten percent on 595 00:32:37,360 --> 00:32:40,400 Speaker 2: each side to the exclusion of everyone else. And I 596 00:32:40,440 --> 00:32:43,680 Speaker 2: actually think, you know, if you sat most people down, 597 00:32:44,080 --> 00:32:46,240 Speaker 2: you could get eighty percent of people to agree on 598 00:32:46,280 --> 00:32:49,320 Speaker 2: a framework to solve almost every single problem we have. 599 00:32:49,960 --> 00:32:53,320 Speaker 2: But those people don't vote in primary, so they're disenfranchised. 600 00:32:53,320 --> 00:32:56,360 Speaker 2: So one thing that I've been trying to do with 601 00:32:56,680 --> 00:32:59,320 Speaker 2: you know, I didn't I can to grow up a 602 00:32:59,320 --> 00:33:01,760 Speaker 2: lot of money. We're in government. I didn't make much money. 603 00:33:02,160 --> 00:33:04,160 Speaker 2: Then I went into tack and I did pretty well, 604 00:33:04,240 --> 00:33:06,840 Speaker 2: and so I've been given it away is to try 605 00:33:06,840 --> 00:33:10,000 Speaker 2: to make mobile voting happen, because to me, you're only 606 00:33:10,040 --> 00:33:12,760 Speaker 2: going to get primary turnout from ten to say thirty 607 00:33:12,840 --> 00:33:15,760 Speaker 2: or forty by meeting the people where they are. Will 608 00:33:15,800 --> 00:33:18,000 Speaker 2: people take off from work and line up to vote 609 00:33:18,040 --> 00:33:20,920 Speaker 2: for president, yes, But will they do that for city council, 610 00:33:20,960 --> 00:33:24,560 Speaker 2: state rep, state Senate. No, they don't. And as a result, 611 00:33:24,560 --> 00:33:26,720 Speaker 2: and that, by the way, even congressional primaries have a 612 00:33:26,760 --> 00:33:28,920 Speaker 2: ten percent primary, you know, have ten percent turnout rate. 613 00:33:29,160 --> 00:33:32,640 Speaker 2: So and yet close to one hundred percent of us 614 00:33:32,640 --> 00:33:35,480 Speaker 2: have phones. We live our lives on our phones, our banking, 615 00:33:35,520 --> 00:33:38,200 Speaker 2: our healthcare, our love, lives, all this other stuff, and 616 00:33:38,280 --> 00:33:40,800 Speaker 2: if we were able to allow people to vote securely 617 00:33:40,840 --> 00:33:43,720 Speaker 2: on their phones, we could get turnout from ten to 618 00:33:43,760 --> 00:33:46,360 Speaker 2: say thirty, and then all of a sudden, I'm not 619 00:33:46,400 --> 00:33:49,200 Speaker 2: sure that any one industry is at much risk of 620 00:33:49,240 --> 00:33:52,880 Speaker 2: the whims of a party because it's not being decided 621 00:33:53,280 --> 00:33:55,680 Speaker 2: just by the extremes that either hate Crypto or hate 622 00:33:55,760 --> 00:33:57,160 Speaker 2: gran energy or whatever it is. 623 00:33:57,600 --> 00:34:00,480 Speaker 1: Well, I just had somebody on as a guest who's 624 00:34:00,520 --> 00:34:03,239 Speaker 1: been advocating getting rid of partisan primaries, and I kind 625 00:34:03,280 --> 00:34:07,560 Speaker 1: of think that it's pretty clear it is. I put 626 00:34:07,600 --> 00:34:10,720 Speaker 1: it this way, I don't see how a taxpayer funded 627 00:34:10,760 --> 00:34:15,760 Speaker 1: primary is constitutional. The idea that I think it's actually 628 00:34:15,800 --> 00:34:16,600 Speaker 1: a poll tax. 629 00:34:16,920 --> 00:34:17,080 Speaker 2: Right. 630 00:34:17,360 --> 00:34:19,280 Speaker 1: If I tell you the only way you could participate 631 00:34:19,320 --> 00:34:22,520 Speaker 1: in this primary is you join a private club and 632 00:34:22,640 --> 00:34:26,120 Speaker 1: you could participate in this taxpayer funded election. That's that 633 00:34:26,239 --> 00:34:29,680 Speaker 1: seems you know, give where the where are my goddamn 634 00:34:29,719 --> 00:34:30,279 Speaker 1: lawyers here? 635 00:34:30,320 --> 00:34:32,640 Speaker 2: Come on, I'm an independent living in New York City 636 00:34:32,640 --> 00:34:33,960 Speaker 2: and my vote does not count. 637 00:34:34,200 --> 00:34:37,040 Speaker 1: Well, and that's just that doesn't make It's like, what 638 00:34:37,080 --> 00:34:40,000 Speaker 1: are we doing, especially when you look at this youngest 639 00:34:40,040 --> 00:34:44,040 Speaker 1: generation and they're registering as independent or no party at 640 00:34:44,080 --> 00:34:46,080 Speaker 1: a greater rate than either of the two major parties. 641 00:34:46,080 --> 00:34:51,040 Speaker 1: So I do think this might actually fix itself, meaning 642 00:34:51,600 --> 00:34:56,160 Speaker 1: a majority of people plurality would prefer a non party 643 00:34:56,239 --> 00:34:58,399 Speaker 1: you know, sort of, Hey, I want to I want 644 00:34:58,400 --> 00:35:02,320 Speaker 1: to decide, right, we're we're actually all libertarian, you know, 645 00:35:02,400 --> 00:35:06,080 Speaker 1: the whole idea of America's libertarian. You know, I would, 646 00:35:06,120 --> 00:35:09,080 Speaker 1: I would, I would argue. So I think we're getting there. 647 00:35:09,880 --> 00:35:15,600 Speaker 1: But on mobile voting, you know, when you look at 648 00:35:15,760 --> 00:35:19,399 Speaker 1: mobile technology through the prism of our banking system, yep, 649 00:35:20,400 --> 00:35:25,200 Speaker 1: it's really secure right now. The times that it's not, Like, 650 00:35:25,239 --> 00:35:27,200 Speaker 1: there's nothing I hate more than when a credit card 651 00:35:27,200 --> 00:35:29,920 Speaker 1: company tells me, hey, you've got to change your number. 652 00:35:30,200 --> 00:35:32,600 Speaker 1: We're doing this for your purposes. No, you're not. You're 653 00:35:32,600 --> 00:35:34,879 Speaker 1: doing it for your purpose. Like I just hate being 654 00:35:35,000 --> 00:35:38,239 Speaker 1: lied to about that. Like it's like no, no, no, no, And 655 00:35:38,280 --> 00:35:41,000 Speaker 1: I even tell them, stop reading your script. You're not 656 00:35:41,080 --> 00:35:43,080 Speaker 1: doing it for my benefit. You're doing it for your benefit. 657 00:35:43,840 --> 00:35:48,920 Speaker 1: But let's you know, let's figure this out. You have 658 00:35:49,000 --> 00:35:51,480 Speaker 1: a You're going to have a hard time convincing the 659 00:35:51,520 --> 00:35:57,480 Speaker 1: public that because cyber criminal activity exists when it comes 660 00:35:57,480 --> 00:36:01,800 Speaker 1: to scamming people out of crypto or scamming people based 661 00:36:01,840 --> 00:36:05,520 Speaker 1: on you know, a text message they get and they 662 00:36:05,520 --> 00:36:08,520 Speaker 1: click the wrong link, that they're going to have a 663 00:36:08,520 --> 00:36:13,760 Speaker 1: hard time believing that the voting is going to be secure. 664 00:36:13,880 --> 00:36:14,759 Speaker 2: Yeah, I mean, I. 665 00:36:14,760 --> 00:36:16,640 Speaker 1: Just think psyched the psyche. 666 00:36:17,320 --> 00:36:20,359 Speaker 2: Yeah, I think that's right. The polling doesn't quite show that. 667 00:36:20,400 --> 00:36:25,200 Speaker 2: What's interesting is so before twenty twenty, we polled nationally 668 00:36:25,560 --> 00:36:29,279 Speaker 2: and about seventy five percent of Republicans, Democrats, Independence all 669 00:36:29,320 --> 00:36:32,240 Speaker 2: said if mobile voting is secure, of course we should 670 00:36:32,280 --> 00:36:36,120 Speaker 2: have it. Right after twenty twenty, we pulled again, stayed 671 00:36:36,160 --> 00:36:39,120 Speaker 2: in the mid seventies with Independence, and Democrats fell to 672 00:36:39,160 --> 00:36:42,040 Speaker 2: the forties with Republicans because of all the doubt cast 673 00:36:42,120 --> 00:36:45,760 Speaker 2: on the twenty twenty election. So, to me, the solution 674 00:36:45,920 --> 00:36:47,600 Speaker 2: to that, and this is what we're working on right 675 00:36:47,640 --> 00:36:49,960 Speaker 2: now by to start running legislation in seven states to 676 00:36:50,040 --> 00:36:54,640 Speaker 2: do this is to allow start with local elections and 677 00:36:54,760 --> 00:36:58,240 Speaker 2: let cities choose to opt in to offer mobile voting 678 00:36:58,320 --> 00:37:02,799 Speaker 2: as one form of voting for council, school board, may 679 00:37:02,880 --> 00:37:05,800 Speaker 2: or things like that. So Anchorage is the first city 680 00:37:05,840 --> 00:37:07,360 Speaker 2: that's going to do this. They're going to do it 681 00:37:07,360 --> 00:37:11,160 Speaker 2: in their April municipal elections and then if we pass 682 00:37:11,239 --> 00:37:14,280 Speaker 2: our bills in these different states that would allow cities 683 00:37:14,320 --> 00:37:16,680 Speaker 2: to choose to opt in if they want to, to 684 00:37:16,840 --> 00:37:19,640 Speaker 2: offer it for local elections only, and then let's see 685 00:37:19,640 --> 00:37:22,160 Speaker 2: how it goes. If people use it and it works 686 00:37:22,200 --> 00:37:24,840 Speaker 2: and they develop trust, we can move up the ladder 687 00:37:24,840 --> 00:37:27,759 Speaker 2: to state and then maybe one day federal. If not, 688 00:37:27,880 --> 00:37:30,439 Speaker 2: then then we don't. But I think we have enough. 689 00:37:30,880 --> 00:37:33,400 Speaker 2: You can start locally enough to sort of experiment a 690 00:37:33,440 --> 00:37:33,839 Speaker 2: little bit. 691 00:37:34,440 --> 00:37:36,920 Speaker 1: What's your So give me some of the tech, the 692 00:37:36,920 --> 00:37:38,719 Speaker 1: security things is it? 693 00:37:38,760 --> 00:37:40,520 Speaker 2: Here's how it would work. Location? 694 00:37:40,840 --> 00:37:41,360 Speaker 1: What would it be? 695 00:37:41,880 --> 00:37:44,480 Speaker 2: So you would go on the app store. You live 696 00:37:44,480 --> 00:37:46,640 Speaker 2: in Arlington. So let's just say for purposes, you would 697 00:37:46,640 --> 00:37:49,600 Speaker 2: download the Arlington Board of Elections app and the first 698 00:37:49,600 --> 00:37:51,759 Speaker 2: thing would say, okay to someone named Chuck Todd, really 699 00:37:51,800 --> 00:37:54,680 Speaker 2: live in Arlington? Who's registered voter? Last four digits of 700 00:37:54,680 --> 00:37:57,319 Speaker 2: your social your address? Okay, now we know that there's 701 00:37:57,360 --> 00:38:00,200 Speaker 2: a voter named Chuck Todd in Arlington, but are you 702 00:38:00,239 --> 00:38:03,880 Speaker 2: really that person? So first thing is multi factor authentications. 703 00:38:03,920 --> 00:38:06,080 Speaker 2: That's like when you figet your password, they send your code, 704 00:38:06,080 --> 00:38:09,200 Speaker 2: you put it in the app. Then biometric screening so 705 00:38:09,239 --> 00:38:11,520 Speaker 2: they matt scan your face, match it up against your 706 00:38:11,560 --> 00:38:14,480 Speaker 2: driver's license or whatever idea you have. Now we know 707 00:38:14,560 --> 00:38:17,760 Speaker 2: this is really Chuck Todd. Ballot comes up on your screen. 708 00:38:18,320 --> 00:38:21,360 Speaker 2: Ballot is as simple and straightforward as can be. Whenever 709 00:38:21,480 --> 00:38:24,400 Speaker 2: you're done and you're ready to submit, three things happen. 710 00:38:24,640 --> 00:38:27,880 Speaker 2: Your ballots encrypted, your ballots anonymized, and you get a 711 00:38:27,920 --> 00:38:30,879 Speaker 2: tracking code, goes back to the Board of Elections. They 712 00:38:30,920 --> 00:38:33,959 Speaker 2: air gap it, which just mean they take it offline 713 00:38:34,160 --> 00:38:36,400 Speaker 2: once your ballot is on a flash drive and not 714 00:38:36,440 --> 00:38:39,960 Speaker 2: connected to the Internet. Then they decrypt it. A paper 715 00:38:40,000 --> 00:38:42,439 Speaker 2: copy of your ballot gets printed out. That gets mixed 716 00:38:42,440 --> 00:38:44,960 Speaker 2: in with all the other ballots. You can see where 717 00:38:44,960 --> 00:38:47,319 Speaker 2: your ballot stands because the tracking code will show you 718 00:38:47,360 --> 00:38:51,000 Speaker 2: it was received, tabulated, printed, and so on. And then 719 00:38:51,040 --> 00:38:54,200 Speaker 2: the underlying code itself is open source. So we've spent 720 00:38:54,280 --> 00:38:57,320 Speaker 2: the last five years building this thing out of my foundation. 721 00:38:58,080 --> 00:39:00,600 Speaker 2: We posted it to GitHub a couple of weeks ago, 722 00:39:00,719 --> 00:39:04,200 Speaker 2: so it is now public code. Anybody can use it, 723 00:39:04,239 --> 00:39:06,840 Speaker 2: anybody can download it. I don't even known it anymore. 724 00:39:06,880 --> 00:39:10,680 Speaker 2: It's just purely in the public domain, and any government 725 00:39:10,719 --> 00:39:12,239 Speaker 2: that wants to try to do it now has the 726 00:39:12,280 --> 00:39:14,879 Speaker 2: ability to do so. And I've already and I've spent 727 00:39:15,040 --> 00:39:17,319 Speaker 2: twenty million dollars my own money so far, you know, 728 00:39:17,360 --> 00:39:20,120 Speaker 2: working on all of this, I've already paid for it. 729 00:39:20,200 --> 00:39:23,040 Speaker 2: So I feel like, given that we live in a 730 00:39:23,080 --> 00:39:28,120 Speaker 2: world where polarization seems to be the contributing factor to 731 00:39:28,320 --> 00:39:32,440 Speaker 2: so many of our problems, and polarization is because not 732 00:39:32,800 --> 00:39:36,040 Speaker 2: that people are polarized, but because the only the extremes 733 00:39:36,120 --> 00:39:39,719 Speaker 2: vote in primaries, and that's where everything is decided. If 734 00:39:39,760 --> 00:39:42,120 Speaker 2: you could do something that could make it so much 735 00:39:42,160 --> 00:39:45,239 Speaker 2: easier to vote, especially in primaries, and you get do 736 00:39:45,239 --> 00:39:47,800 Speaker 2: you remember when Amazon wanted to put their second headquarters 737 00:39:47,800 --> 00:39:49,719 Speaker 2: in Queen So part of it went to where you are, 738 00:39:49,760 --> 00:39:52,000 Speaker 2: to Arlington, right, and then the other half was supposed 739 00:39:52,000 --> 00:39:54,720 Speaker 2: to go to Long Island City, So hundreds of cities 740 00:39:54,719 --> 00:39:58,160 Speaker 2: competed for this. New York want a little unexpectedly, everyone's 741 00:39:58,239 --> 00:40:00,640 Speaker 2: very excited. The poland shows people are really into it. 742 00:40:01,120 --> 00:40:04,760 Speaker 2: Then AOC comes out against it and look for her politics. Fine, 743 00:40:04,840 --> 00:40:08,840 Speaker 2: she's anti jobs, business, capitalism, whatever. Fine. So there's a 744 00:40:08,840 --> 00:40:11,680 Speaker 2: guy named Mike Gennaris who is a state senator in 745 00:40:11,760 --> 00:40:14,560 Speaker 2: Long Island City, Queens. And Mike is just a guy. 746 00:40:14,880 --> 00:40:17,960 Speaker 2: He's not good, He's not bad. He's not conservatives at liberal. 747 00:40:18,120 --> 00:40:20,680 Speaker 2: He is just a political hack that wants to stay 748 00:40:20,719 --> 00:40:24,879 Speaker 2: in office, nothing else, and all things being equal, of course, 749 00:40:24,920 --> 00:40:27,520 Speaker 2: it's exciting when your district is picked by Amazon to 750 00:40:27,560 --> 00:40:30,479 Speaker 2: be this thing. But now he says to himself, oh shit, 751 00:40:31,360 --> 00:40:33,560 Speaker 2: if I support this, I could get a primary from 752 00:40:33,560 --> 00:40:36,400 Speaker 2: the left. Turn out I'll be around eight nine percent 753 00:40:36,480 --> 00:40:40,480 Speaker 2: based on the data, and the voters in that primary 754 00:40:40,480 --> 00:40:42,600 Speaker 2: will be the most left wing voters of my district. 755 00:40:42,680 --> 00:40:46,080 Speaker 2: And if AOC supports the opponent, I could lose. And 756 00:40:46,120 --> 00:40:50,400 Speaker 2: he had a choice forty thousand, forty thousand new jobs 757 00:40:50,400 --> 00:40:53,279 Speaker 2: for New Yorkers that are good jobs with benefits, or 758 00:40:53,400 --> 00:40:56,879 Speaker 2: one job his own, and he picked himself, and by 759 00:40:56,880 --> 00:40:59,920 Speaker 2: the way, that's what politicians do. But if he did 760 00:41:00,000 --> 00:41:02,719 Speaker 2: the same analysis and turn out as primary was gonna 761 00:41:02,719 --> 00:41:06,040 Speaker 2: be thirty seven instead of nine, not because he cared 762 00:41:06,040 --> 00:41:09,520 Speaker 2: anymore about the voters, the district, the job, whatever, Nothing 763 00:41:10,000 --> 00:41:12,799 Speaker 2: only changed, just the math. He would have done the 764 00:41:12,800 --> 00:41:16,160 Speaker 2: deal simply because he would have needed to get re elected. 765 00:41:16,480 --> 00:41:20,280 Speaker 2: So what if they were not partisan primaries or open primaries, 766 00:41:20,320 --> 00:41:22,719 Speaker 2: that would definitely help. But you know, I still think 767 00:41:22,760 --> 00:41:24,520 Speaker 2: if you look at places with the open primaries, and 768 00:41:24,560 --> 00:41:29,439 Speaker 2: I'm a big supporter of open primaries for local elections. 769 00:41:29,600 --> 00:41:33,240 Speaker 2: You still just don't get people going to submit plays. 770 00:41:33,239 --> 00:41:35,040 Speaker 2: With mail in voting, it's a little easier, but in 771 00:41:35,080 --> 00:41:38,080 Speaker 2: New York where you have to go, people just don't 772 00:41:38,120 --> 00:41:40,719 Speaker 2: show up. But you know what, those same people all 773 00:41:40,760 --> 00:41:43,560 Speaker 2: have phones, So when they're sitting on the subway or 774 00:41:43,560 --> 00:41:45,960 Speaker 2: they're waiting for their coffee or wherever else, if all 775 00:41:46,000 --> 00:41:48,120 Speaker 2: they have to do is press a few buttons, then 776 00:41:48,160 --> 00:41:50,680 Speaker 2: you can go from nine to thirty seven. I don't 777 00:41:50,680 --> 00:41:52,520 Speaker 2: think you can do that when people have to go 778 00:41:52,560 --> 00:41:53,279 Speaker 2: show up some money. 779 00:41:56,200 --> 00:41:58,839 Speaker 1: Do you hate hangovers, well, say goodbye to hangovers. Out 780 00:41:58,840 --> 00:42:01,399 Speaker 1: of Office gives you the social buzz without the next 781 00:42:01,440 --> 00:42:04,040 Speaker 1: day regret. Their best selling out of Office gummies were designed 782 00:42:04,080 --> 00:42:06,840 Speaker 1: to provide a mild, relaxing buzz, boost your mood and 783 00:42:06,960 --> 00:42:10,520 Speaker 1: enhance creativity and relaxation. With five different strengths, you can 784 00:42:10,560 --> 00:42:13,040 Speaker 1: tailor the dose to fit your vibe, from a gentle 785 00:42:13,160 --> 00:42:17,360 Speaker 1: one point five milligram micro doose to their newest fifteen 786 00:42:17,400 --> 00:42:21,480 Speaker 1: milligram gummy for a more elevated experience. 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Let me introduce a counterintuitive point about voting. Yeah, 804 00:43:23,840 --> 00:43:25,880 Speaker 1: and I'm not I'm saying this. I'm not saying I 805 00:43:25,880 --> 00:43:28,439 Speaker 1: agree with it. So anybody listening that wants to try 806 00:43:28,440 --> 00:43:31,359 Speaker 1: to like, you know, aggregate me and sort of say, oh, 807 00:43:31,400 --> 00:43:35,880 Speaker 1: there he goes he doesn't want to if you choose not. 808 00:43:36,040 --> 00:43:40,080 Speaker 1: You know, it's sort of like I'm not for compulsory 809 00:43:40,120 --> 00:43:43,040 Speaker 1: voting like I think you should. I think you should 810 00:43:43,440 --> 00:43:47,200 Speaker 1: feel comfortable made. You know. In fact, I think it's 811 00:43:47,239 --> 00:43:52,439 Speaker 1: been fascinating that that voter turnout goes down. The more 812 00:43:53,160 --> 00:43:57,799 Speaker 1: apathy goes up, the more content and stable our governments are. Right, 813 00:43:57,880 --> 00:44:00,920 Speaker 1: apathy goes down a bit more unstable when our leadership 814 00:44:00,960 --> 00:44:03,920 Speaker 1: is a little bit more unstable. Maybe that's a good 815 00:44:03,920 --> 00:44:09,120 Speaker 1: thing that that people pay more attention, but it is 816 00:44:09,800 --> 00:44:12,239 Speaker 1: is more uninformed people voting a good thing. 817 00:44:14,120 --> 00:44:18,200 Speaker 2: You know what, if more uninformed people is more, it's 818 00:44:18,200 --> 00:44:22,600 Speaker 2: still a better reflection of the mainstream and therefore democracy 819 00:44:22,640 --> 00:44:25,600 Speaker 2: than fewer. And you know, I just when I was 820 00:44:25,600 --> 00:44:28,640 Speaker 2: giving a talk on mobilevoting somewhere someone said raise their hands, said, well, 821 00:44:29,040 --> 00:44:31,320 Speaker 2: under your as system, we're going to have a TikTok president. 822 00:44:31,760 --> 00:44:34,320 Speaker 2: We have a TikTok president, and a New York have 823 00:44:34,360 --> 00:44:35,520 Speaker 2: a TikTok mayor mayor. 824 00:44:35,600 --> 00:44:38,800 Speaker 1: Right now, we're already living in the biggest in the 825 00:44:38,800 --> 00:44:40,879 Speaker 1: biggest markets. We're already living in that world so we're 826 00:44:40,920 --> 00:44:41,960 Speaker 1: we're already there. 827 00:44:42,000 --> 00:44:46,120 Speaker 2: So to me, the thing that I learned I worked 828 00:44:46,120 --> 00:44:48,560 Speaker 2: in city government. I worked in you know, I was 829 00:44:48,600 --> 00:44:51,680 Speaker 2: in DC, I was sumer's communications director, I was deputy 830 00:44:51,719 --> 00:44:54,320 Speaker 2: governor of Illinois. I saw it from really every angle, 831 00:44:54,920 --> 00:44:56,760 Speaker 2: And to me, the only thing that you can count 832 00:44:56,800 --> 00:44:59,279 Speaker 2: on is that politicians will do whatever it takes to 833 00:44:59,320 --> 00:45:02,279 Speaker 2: get re elected. And so even if it's an uninformed 834 00:45:02,320 --> 00:45:05,560 Speaker 2: thirty seven percent, a politician trying to sell for an 835 00:45:05,640 --> 00:45:08,919 Speaker 2: uninformed thirty seven percent is still going to land much 836 00:45:08,960 --> 00:45:11,759 Speaker 2: more in the mainstream than a politician trying to solve 837 00:45:11,840 --> 00:45:12,640 Speaker 2: for nine percent. 838 00:45:13,120 --> 00:45:16,399 Speaker 1: Yeah, do you think you're gonna have an easier time 839 00:45:16,440 --> 00:45:20,800 Speaker 1: selling more rural states on mobile voting than urban. 840 00:45:20,600 --> 00:45:23,520 Speaker 2: St It's one of the reasons why Alaska's are Alaska 841 00:45:23,600 --> 00:45:27,719 Speaker 2: is a perfect Yeah, a perfect example, if not for 842 00:45:27,840 --> 00:45:32,120 Speaker 2: twenty twenty. Yes, the challenge I have right now is 843 00:45:32,160 --> 00:45:35,600 Speaker 2: that red states don't want to do anything Trump doesn't like, 844 00:45:35,680 --> 00:45:37,719 Speaker 2: and he hasn't said anything about mobile voting. But if 845 00:45:37,800 --> 00:45:41,080 Speaker 2: you are a paper only in person thing, then clearly 846 00:45:41,120 --> 00:45:44,239 Speaker 2: you're not gonna like mobile voting. And so therefore in 847 00:45:44,320 --> 00:45:47,719 Speaker 2: blue states, you not only don't have the concern about Trump, 848 00:45:47,800 --> 00:45:51,000 Speaker 2: but you actually have the incentive of sticking it to Trump. Right, 849 00:45:51,320 --> 00:45:54,920 Speaker 2: So in theory, what you said should have been the 850 00:45:55,000 --> 00:45:59,480 Speaker 2: rollout plan, Trump scrambled that. So now the rollout plan 851 00:46:00,280 --> 00:46:02,440 Speaker 2: is much more partisan, which I'd say again, I'm not 852 00:46:02,480 --> 00:46:04,920 Speaker 2: even an Emerald party anymore, right, So it's not like 853 00:46:05,600 --> 00:46:07,759 Speaker 2: I want one party as opposed to another or one 854 00:46:07,760 --> 00:46:09,439 Speaker 2: type of state. But I'm going to have mobile voting. 855 00:46:09,480 --> 00:46:12,480 Speaker 2: I want ever want to have it. I think realistically, 856 00:46:13,160 --> 00:46:14,960 Speaker 2: there's a world that I live in for what I'm 857 00:46:14,960 --> 00:46:17,160 Speaker 2: doing through twenty eight, and then there's a new world 858 00:46:17,160 --> 00:46:18,280 Speaker 2: that starts in twenty nine. 859 00:46:19,800 --> 00:46:21,880 Speaker 1: That's interesting that you say it that way when you 860 00:46:21,920 --> 00:46:25,160 Speaker 1: say there's just a new world, that's you're just are 861 00:46:25,200 --> 00:46:28,439 Speaker 1: you sort of plotting and living? I mean I want 862 00:46:28,480 --> 00:46:30,439 Speaker 1: more people to be thinking this way, which is, Look, 863 00:46:30,480 --> 00:46:33,160 Speaker 1: the Trump era is over. It just hasn't ended yet. 864 00:46:33,840 --> 00:46:37,719 Speaker 2: Yeah, I mean He's gonna go away and norms will 865 00:46:37,760 --> 00:46:39,319 Speaker 2: be restored. 866 00:46:39,440 --> 00:46:41,719 Speaker 1: So well, see that's the question. That's what I'm not 867 00:46:42,000 --> 00:46:44,600 Speaker 1: I'm now starting to become a skeptical so we never 868 00:46:44,680 --> 00:46:45,960 Speaker 1: go backwards, Bradley. 869 00:46:46,280 --> 00:46:49,960 Speaker 2: So I've been asking people who know Dvance specifically this question, right, 870 00:46:50,000 --> 00:46:53,399 Speaker 2: because let's say it's any Democrat, we're probably going back 871 00:46:53,440 --> 00:46:56,360 Speaker 2: to a more normalized rule of laws system, right. So 872 00:46:56,480 --> 00:47:01,000 Speaker 2: now on the Republican side, even someone like Rubio probably 873 00:47:01,040 --> 00:47:03,560 Speaker 2: goes back to that. So to me, Vance is the 874 00:47:03,600 --> 00:47:08,160 Speaker 2: biggest of the major contenders, the biggest variable. He might 875 00:47:08,200 --> 00:47:12,000 Speaker 2: not want to, but remember when Jordan retired and the 876 00:47:12,080 --> 00:47:15,319 Speaker 2: NBA kept turning to manufacture these errors to Jordan and 877 00:47:15,360 --> 00:47:18,239 Speaker 2: it never worked. Right, you had great basketball players, but 878 00:47:18,320 --> 00:47:22,399 Speaker 2: until Lebron naturally came along, you just didn't have it. Right, 879 00:47:23,719 --> 00:47:27,240 Speaker 2: Vance and others will try to imitate Trump at every turn, 880 00:47:27,400 --> 00:47:30,360 Speaker 2: and it's not gonna work because Trump is an end 881 00:47:30,400 --> 00:47:34,040 Speaker 2: of one and for better or worse, he's just unique, right, 882 00:47:34,280 --> 00:47:37,520 Speaker 2: and if you try to imitate him, that will probably 883 00:47:37,600 --> 00:47:43,439 Speaker 2: look really inauthentic and actually fail. And so Vance would 884 00:47:43,440 --> 00:47:47,000 Speaker 2: be my biggest concern about continuation of the current approach 885 00:47:47,040 --> 00:47:50,439 Speaker 2: to rule of law. But I kind of think that 886 00:47:51,400 --> 00:47:54,000 Speaker 2: people are gonna want change, and I think that he 887 00:47:54,120 --> 00:47:57,080 Speaker 2: is gonna refer he has to run on continuity to Trump. 888 00:47:57,600 --> 00:48:03,560 Speaker 1: And look, Vance is discovering this same trap that being 889 00:48:03,640 --> 00:48:06,680 Speaker 1: vice president for an unpopular president is like that Kamala 890 00:48:06,719 --> 00:48:09,600 Speaker 1: Harris discovered you're never going to be judged on your 891 00:48:09,600 --> 00:48:10,760 Speaker 1: own merits, right. 892 00:48:10,840 --> 00:48:12,400 Speaker 2: Right, Well, do you think he learned? 893 00:48:12,400 --> 00:48:12,440 Speaker 1: So? 894 00:48:12,600 --> 00:48:17,960 Speaker 2: Harris clearly regrets not distancing herself from Biden in any way. 895 00:48:18,400 --> 00:48:21,520 Speaker 2: Do you think Vance has learned from that? And if so, 896 00:48:22,040 --> 00:48:25,560 Speaker 2: when you're the city vice president and a candidate, how 897 00:48:25,600 --> 00:48:26,600 Speaker 2: do you distance yourself? 898 00:48:26,719 --> 00:48:29,080 Speaker 1: You can't. I mean the point is just because you 899 00:48:29,160 --> 00:48:33,440 Speaker 1: should doesn't mean you can, right, yeah, right, you know, look, 900 00:48:35,840 --> 00:48:38,959 Speaker 1: Hubert Humphrey couldn't do it, and he waited too long. 901 00:48:43,360 --> 00:48:46,680 Speaker 1: Al Gore to this day did the best version of 902 00:48:46,719 --> 00:48:47,640 Speaker 1: it that was possible. 903 00:48:48,160 --> 00:48:48,359 Speaker 2: Right. 904 00:48:48,719 --> 00:48:50,560 Speaker 1: He found he was trying to figure out a way 905 00:48:50,600 --> 00:48:54,560 Speaker 1: to show distance on the things that mattered the most, 906 00:48:55,280 --> 00:48:58,840 Speaker 1: the concerns that people had, which was the kind of 907 00:48:58,600 --> 00:49:03,120 Speaker 1: the personal ickiness of Clinton, right, and Joe Lieberman was 908 00:49:03,200 --> 00:49:03,680 Speaker 1: the tonic. 909 00:49:04,600 --> 00:49:05,600 Speaker 2: And so. 910 00:49:08,840 --> 00:49:15,400 Speaker 1: You know what, you know, had Kamala Harris picked Elon 911 00:49:15,520 --> 00:49:17,439 Speaker 1: Musks are running made, I don't know. I'm like trying 912 00:49:17,480 --> 00:49:19,160 Speaker 1: to think, like who could have been the. 913 00:49:20,320 --> 00:49:22,719 Speaker 2: I'm not sure anything. I don't know if anything. 914 00:49:22,440 --> 00:49:26,640 Speaker 1: Could even al Gore couldn't outrun it. Right, he got closer. 915 00:49:26,800 --> 00:49:29,520 Speaker 1: I will always go to my grave believing that race 916 00:49:29,560 --> 00:49:33,560 Speaker 1: got competitive because he figured out a way to walk 917 00:49:33,600 --> 00:49:35,600 Speaker 1: the line of being, Hey, I'm going to be the 918 00:49:35,640 --> 00:49:39,799 Speaker 1: stuff you liked about Clinton, and I'm not going to 919 00:49:39,840 --> 00:49:42,879 Speaker 1: allow the stuff you didn't like to happen either, right, 920 00:49:43,080 --> 00:49:44,720 Speaker 1: which was but it was hard. 921 00:49:45,040 --> 00:49:48,080 Speaker 2: Yeah, and bother one of the biggest what asks because 922 00:49:48,080 --> 00:49:50,880 Speaker 2: if you think about it, let's say Florida. You know, 923 00:49:51,040 --> 00:49:54,040 Speaker 2: a few ballots got fully punched through instead of hanging 924 00:49:54,080 --> 00:49:56,440 Speaker 2: had tats or whatever. Right, and the outcome is different. 925 00:49:57,200 --> 00:50:00,600 Speaker 2: It seems to be there's two very radically differ friend 926 00:50:00,800 --> 00:50:02,840 Speaker 2: outcomes that we said of what we had. One is, 927 00:50:03,040 --> 00:50:05,080 Speaker 2: let's just see nine to eleven still happens, because it 928 00:50:05,200 --> 00:50:05,960 Speaker 2: probably would have. 929 00:50:06,080 --> 00:50:08,319 Speaker 1: Right, I've gone through this. What if I'm curious where 930 00:50:08,320 --> 00:50:10,239 Speaker 1: you're going to go. I have an idea where this goes. 931 00:50:10,400 --> 00:50:13,320 Speaker 2: See, you still get Afghanistan. That doesn't change, No. 932 00:50:13,440 --> 00:50:17,960 Speaker 1: But I don't think you realize Rack, it's not just that, Bradley. 933 00:50:18,239 --> 00:50:19,200 Speaker 2: Yeah. 934 00:50:19,239 --> 00:50:22,799 Speaker 1: If at nine to eleven happens under Al Gore, that's 935 00:50:22,840 --> 00:50:28,040 Speaker 1: the ninth year of a democratic presidency. So while George W. 936 00:50:28,160 --> 00:50:32,319 Speaker 1: Bush was new and could claim the intelligence was new, 937 00:50:33,360 --> 00:50:36,600 Speaker 1: then all of a sudden, if Gore's president, then the 938 00:50:36,719 --> 00:50:39,440 Speaker 1: whole well, you knew this guy was a problem because 939 00:50:39,480 --> 00:50:42,680 Speaker 1: your administration tried to kill him once and missed. You 940 00:50:42,719 --> 00:50:45,480 Speaker 1: were on top of bin Ladden, and you still missed this. 941 00:50:45,960 --> 00:50:50,759 Speaker 1: I think the politicizing of the intelligence failure under a 942 00:50:50,800 --> 00:50:55,040 Speaker 1: democratic administration, which is a continuation of eight years of 943 00:50:55,040 --> 00:51:00,319 Speaker 1: a democratic administration, becomes we are far more polarized. The 944 00:51:00,360 --> 00:51:03,359 Speaker 1: world we live in today is the world that would 945 00:51:03,400 --> 00:51:07,040 Speaker 1: have happened to us September twelfth, ninth, two thousand and one. 946 00:51:07,040 --> 00:51:11,400 Speaker 1: Meaning I think we would have gone immediately because it 947 00:51:11,400 --> 00:51:14,759 Speaker 1: would have been this was the because he would have 948 00:51:14,760 --> 00:51:17,440 Speaker 1: had the same CIA chief probably maybe he had the 949 00:51:17,440 --> 00:51:19,120 Speaker 1: same Secretary of State maybe, but you know what I mean. 950 00:51:19,160 --> 00:51:23,600 Speaker 1: There would have been more continuation than difference, and it 951 00:51:23,640 --> 00:51:26,120 Speaker 1: wouldn't have been a new president. It would have been 952 00:51:26,200 --> 00:51:29,880 Speaker 1: right like. So that to me is the is the 953 00:51:29,920 --> 00:51:32,319 Speaker 1: dog that didn't mark right, which is well, we were 954 00:51:32,360 --> 00:51:34,400 Speaker 1: we could have nine to eleven, could have gotten politicized. 955 00:51:34,400 --> 00:51:36,759 Speaker 1: It didn't, right, and it was a unique set of 956 00:51:36,760 --> 00:51:38,200 Speaker 1: circumstances for why it didn't. 957 00:51:38,360 --> 00:51:41,120 Speaker 2: But could you have gotten away with the WMD stuff? 958 00:51:42,360 --> 00:51:45,120 Speaker 1: Well, I don't think Iraq ever happens right, right right? 959 00:51:45,120 --> 00:51:48,000 Speaker 1: I mean, in that sense it doesn't happen, and we 960 00:51:48,080 --> 00:51:51,799 Speaker 1: probably still do Afghanistan. But what I'm saying is I 961 00:51:51,840 --> 00:51:56,759 Speaker 1: think we have a far more politicized world because this 962 00:51:56,800 --> 00:51:59,160 Speaker 1: wouldn't have been the failure of a new administration. It 963 00:51:59,160 --> 00:52:02,120 Speaker 1: would have been the failure of an administration that, in theory, 964 00:52:02,160 --> 00:52:04,120 Speaker 1: had been in power for nine years. 965 00:52:03,920 --> 00:52:06,319 Speaker 2: Right, right? I think that's probably right. Can I throw 966 00:52:06,400 --> 00:52:08,080 Speaker 2: one crazy idea at you, because. 967 00:52:08,200 --> 00:52:10,520 Speaker 1: Lad, that's what we do here at the Chuck Podcast. 968 00:52:10,719 --> 00:52:13,280 Speaker 2: So, okay, So if you look at sort of modern 969 00:52:13,560 --> 00:52:17,360 Speaker 2: political history for the president, let's just say since Reagan, 970 00:52:17,480 --> 00:52:21,440 Speaker 2: So there's been seven presidents, including Reagan's nineteen eighty five 971 00:52:21,520 --> 00:52:24,319 Speaker 2: of them, I would argue, were rock stars who were 972 00:52:24,360 --> 00:52:28,840 Speaker 2: definitely not the most qualified person to win. So Reagan, Clinton, 973 00:52:29,600 --> 00:52:33,120 Speaker 2: w to some extent, Obama Trump. The two that were 974 00:52:33,280 --> 00:52:38,479 Speaker 2: ultra qualified, Biden and HW both only lasted one term. 975 00:52:38,640 --> 00:52:41,279 Speaker 1: Right, so I call them nineteenth century presidents. They'd have 976 00:52:41,320 --> 00:52:45,000 Speaker 1: been better in the non media era, right the at 977 00:52:45,080 --> 00:52:46,040 Speaker 1: least for president. 978 00:52:46,640 --> 00:52:51,000 Speaker 2: Americans want rock stars, and my argument is the DNC 979 00:52:51,239 --> 00:52:55,080 Speaker 2: or the RNC are the least qualified entities to pick 980 00:52:55,640 --> 00:52:59,000 Speaker 2: rock stars. Do you remember that show? I think you 981 00:52:59,239 --> 00:53:02,360 Speaker 2: were probably around this age Battle of the network stars. 982 00:53:02,640 --> 00:53:05,040 Speaker 2: It's like when I was a kid, right, So, yeah, 983 00:53:05,120 --> 00:53:08,480 Speaker 2: what if you did that in say in twenty twenty seven, 984 00:53:08,560 --> 00:53:10,799 Speaker 2: where you said, okay, instead of a tug of war 985 00:53:10,880 --> 00:53:14,480 Speaker 2: in the mud, go to the waffle house of midnight, 986 00:53:14,640 --> 00:53:16,799 Speaker 2: talk to the truckers, talk to the cops, talk to 987 00:53:16,800 --> 00:53:19,399 Speaker 2: the college kids, show them all of America and see 988 00:53:19,440 --> 00:53:21,359 Speaker 2: who comes and what they talk to you about. Call 989 00:53:21,440 --> 00:53:24,000 Speaker 2: inning of a Cardinals game on the radio, whatever it is. 990 00:53:24,520 --> 00:53:27,560 Speaker 2: And put candidates in real world situations that are not 991 00:53:27,719 --> 00:53:32,239 Speaker 2: totally scripted and not totally packed with party faithful and 992 00:53:32,360 --> 00:53:35,440 Speaker 2: just see how they do. Because some will resonate, some 993 00:53:35,520 --> 00:53:39,000 Speaker 2: will not. And ultimately you got to pick the candidate 994 00:53:39,120 --> 00:53:43,960 Speaker 2: that has that intangible quality. And you're never going to 995 00:53:44,040 --> 00:53:47,920 Speaker 2: get that through the debates and the normal primary systems. 996 00:53:47,960 --> 00:53:49,600 Speaker 2: You almost need an alternate method. 997 00:53:50,040 --> 00:53:52,200 Speaker 1: Well, you know we have. You know, it's funny, what 998 00:53:52,239 --> 00:53:54,680 Speaker 1: if I told you that we had already had that system, 999 00:53:55,320 --> 00:53:58,719 Speaker 1: but we didn't like it, and it's called the Iowa CAUCUSUS. 1000 00:53:59,120 --> 00:54:02,120 Speaker 1: This single grind greatest aspect of the Iowa caucuses is 1001 00:54:02,160 --> 00:54:06,080 Speaker 1: what you just described, the fact that candidates have to 1002 00:54:06,120 --> 00:54:11,160 Speaker 1: go into small venues, They have to it's the only 1003 00:54:11,280 --> 00:54:16,719 Speaker 1: time in the presidential process where you see more personal interactions, right. 1004 00:54:16,960 --> 00:54:19,680 Speaker 1: And you know, I've always thought that what people don't 1005 00:54:19,760 --> 00:54:22,759 Speaker 1: understand that actually the two parties that stumbled on a 1006 00:54:22,800 --> 00:54:25,920 Speaker 1: really smart way to do the presidential primary system. We 1007 00:54:26,040 --> 00:54:29,360 Speaker 1: start in a super rural state that's very friendly, in 1008 00:54:29,440 --> 00:54:32,160 Speaker 1: the state of Iowa, and you're being tested, can you 1009 00:54:32,360 --> 00:54:36,319 Speaker 1: organize ninety nine counties? Like that's essentially what you're being 1010 00:54:36,320 --> 00:54:38,960 Speaker 1: told to do. You've got to figure out how to organize. 1011 00:54:39,120 --> 00:54:42,360 Speaker 1: You can't just win DesMoines. You've actually got to show 1012 00:54:42,480 --> 00:54:45,760 Speaker 1: strength in ninety nine counties. Then with the second test, 1013 00:54:46,440 --> 00:54:48,440 Speaker 1: we're going to send you to a state that is 1014 00:54:48,840 --> 00:54:53,040 Speaker 1: cranky independence and in fact they get to decide which 1015 00:54:53,160 --> 00:54:56,560 Speaker 1: party to vote in and they vacillate Like two thousand 1016 00:54:56,719 --> 00:54:59,680 Speaker 1: was fantastic. It was really a fight between McCain and 1017 00:54:59,760 --> 00:55:02,799 Speaker 1: braw to see who could convince more independence to pick 1018 00:55:03,080 --> 00:55:05,759 Speaker 1: the D ballot or the R ballot. Well, McCain won that, 1019 00:55:06,040 --> 00:55:09,640 Speaker 1: and therefore Gore won. Had Bradley won the debate with McCain, 1020 00:55:10,040 --> 00:55:14,000 Speaker 1: Bradley wins the New Hampshire primary, and then the messages said, hey, 1021 00:55:14,320 --> 00:55:18,799 Speaker 1: this guy is better at winning independence and it's a 1022 00:55:18,880 --> 00:55:22,400 Speaker 1: test of that. Like I think the parties and we 1023 00:55:22,480 --> 00:55:25,360 Speaker 1: didn't fully appreciate that the system that we had stumbled 1024 00:55:25,400 --> 00:55:29,719 Speaker 1: into place you test or actually existed. And what you 1025 00:55:29,880 --> 00:55:32,560 Speaker 1: have is you had a whole bunch of idiots at 1026 00:55:32,560 --> 00:55:36,560 Speaker 1: the DNC who said, well, Iowa was too white, and 1027 00:55:36,920 --> 00:55:38,759 Speaker 1: it is, and they had it, and they applied a 1028 00:55:38,840 --> 00:55:43,000 Speaker 1: DEI test to the state of Iowa mistakenly realized, not 1029 00:55:43,160 --> 00:55:46,759 Speaker 1: realizing that by preventing their candidates from learning how to 1030 00:55:46,800 --> 00:55:49,840 Speaker 1: speak to rural America in a friendly state like Iowa, 1031 00:55:50,160 --> 00:55:52,359 Speaker 1: that they were going to fail in appealing to rural 1032 00:55:52,360 --> 00:55:57,400 Speaker 1: America all over the country. So I absolutely agree with 1033 00:55:57,440 --> 00:55:59,319 Speaker 1: what you're saying. And I'm like, we already had this 1034 00:55:59,480 --> 00:56:04,280 Speaker 1: system because it tested Barack Obama, it tested Bill Clinton, 1035 00:56:04,920 --> 00:56:07,560 Speaker 1: and in fact, it was in the small states and 1036 00:56:07,640 --> 00:56:11,240 Speaker 1: their interactions in the small states that made the country 1037 00:56:11,360 --> 00:56:15,040 Speaker 1: comfortable with what they what. We weren't sure whether these 1038 00:56:15,040 --> 00:56:17,640 Speaker 1: were attributes that were going to work or not. So 1039 00:56:18,360 --> 00:56:20,719 Speaker 1: we had the system, and we're now actually trying to 1040 00:56:20,760 --> 00:56:23,880 Speaker 1: throw that system away, which I sort of am frustrated them. 1041 00:56:23,800 --> 00:56:27,640 Speaker 2: Well because by throwing it, throwing it away and sort 1042 00:56:27,640 --> 00:56:32,120 Speaker 2: of nationalizing it empowers the people inside the Beltway at 1043 00:56:32,239 --> 00:56:35,080 Speaker 2: the expense of everyone else. But the problem is those 1044 00:56:35,120 --> 00:56:37,839 Speaker 2: people like other people who went to Yale and write 1045 00:56:37,840 --> 00:56:41,279 Speaker 2: in bullet points, and that is not a rock star, right, right, 1046 00:56:43,800 --> 00:56:44,960 Speaker 2: But let me go back, let me. 1047 00:56:44,880 --> 00:56:48,279 Speaker 1: Throw some up at echew, which is which is? And 1048 00:56:48,360 --> 00:56:53,480 Speaker 1: I've i've I've been working with a company that's basically 1049 00:56:53,560 --> 00:56:56,200 Speaker 1: popped up, that didn't exist for a while, but now 1050 00:56:56,239 --> 00:57:02,080 Speaker 1: exists as an entity to help corporations communicate how to 1051 00:57:02,160 --> 00:57:06,600 Speaker 1: deal with tricky political situations, either with their own employees 1052 00:57:06,800 --> 00:57:09,920 Speaker 1: or with the outside world. And it's sort of it's 1053 00:57:09,960 --> 00:57:12,120 Speaker 1: a company now that it's thriving, and there's a lot 1054 00:57:12,120 --> 00:57:15,960 Speaker 1: of Fortune five hundred companies that want this research, this information, etc. 1055 00:57:17,040 --> 00:57:21,360 Speaker 1: And what I've come to discover is that basically we're 1056 00:57:21,400 --> 00:57:25,680 Speaker 1: now looking for the same attributes in our CEOs as 1057 00:57:25,720 --> 00:57:28,120 Speaker 1: we expect in our presidents as you just defined, right, 1058 00:57:28,160 --> 00:57:32,960 Speaker 1: which is ultimately we're looking for the best communicator. Right, 1059 00:57:33,040 --> 00:57:36,480 Speaker 1: we elect the best communicator. We don't elect the best person. 1060 00:57:36,520 --> 00:57:41,040 Speaker 1: We're electing the best communicator. The companies with good communicators 1061 00:57:42,680 --> 00:57:44,920 Speaker 1: probably are doing better on Wall Street than the companies 1062 00:57:44,920 --> 00:57:51,880 Speaker 1: with bad communicators. And I actually think now we're communicating 1063 00:57:51,960 --> 00:57:55,680 Speaker 1: is so much more important now to success in both 1064 00:57:55,720 --> 00:58:00,520 Speaker 1: the business world, the political world, the entertainment world, frankly 1065 00:58:00,560 --> 00:58:04,280 Speaker 1: even the sports world. That it is now a skill 1066 00:58:04,320 --> 00:58:06,640 Speaker 1: set that is as important as learning how to type. 1067 00:58:07,400 --> 00:58:09,960 Speaker 1: It is a skill set that it's important as understanding 1068 00:58:10,040 --> 00:58:12,160 Speaker 1: how to write. In fact, you need to know how 1069 00:58:12,160 --> 00:58:15,520 Speaker 1: to do that then you do right cursive. Right. I 1070 00:58:15,600 --> 00:58:17,640 Speaker 1: just think it's a skill set that it's necessary now 1071 00:58:17,640 --> 00:58:18,400 Speaker 1: and all walks away. 1072 00:58:18,920 --> 00:58:23,000 Speaker 2: In my world investing in tech startups, narrative is frequently 1073 00:58:23,080 --> 00:58:28,720 Speaker 2: more important than economic fundamentals, right, you know, even and 1074 00:58:29,080 --> 00:58:32,600 Speaker 2: P and L and everything else oftentimes takes a backseat 1075 00:58:32,720 --> 00:58:37,600 Speaker 2: to who has the narrative, the rhetoric, the sort of 1076 00:58:37,800 --> 00:58:42,760 Speaker 2: you know, flash that really gets investors excited, and that's 1077 00:58:42,760 --> 00:58:46,640 Speaker 2: what drives evaluation. Look, think about AI right now. You 1078 00:58:46,720 --> 00:58:48,959 Speaker 2: take two companies and you call one of them AI 1079 00:58:49,120 --> 00:58:51,000 Speaker 2: and one of them not you think to be the 1080 00:58:51,040 --> 00:58:55,080 Speaker 2: same company. The AI one has doubled evaluation immediately, right. 1081 00:58:55,680 --> 00:58:58,360 Speaker 2: I mean, I would even argue that a lot of 1082 00:58:58,400 --> 00:59:03,440 Speaker 2: the spending the open aiyes and the Navidias are doing 1083 00:59:03,440 --> 00:59:08,000 Speaker 2: on data centers and everything else is really short term 1084 00:59:08,120 --> 00:59:12,360 Speaker 2: narrative and profit seeking disguise as long term plan. So 1085 00:59:12,880 --> 00:59:15,760 Speaker 2: it looks like you're saying, oh, I'm thinking twenty thirty 1086 00:59:15,840 --> 00:59:18,800 Speaker 2: years out, and the market loves that and they reward 1087 00:59:18,840 --> 00:59:21,480 Speaker 2: it with higher share prices or higher valuations if you're 1088 00:59:21,480 --> 00:59:26,040 Speaker 2: still a private company, and in reality, we have no 1089 00:59:26,200 --> 00:59:29,560 Speaker 2: idea what we're actually going to need to power AI 1090 00:59:29,680 --> 00:59:32,080 Speaker 2: in twenty or thirty years, because the answer might be 1091 00:59:32,120 --> 00:59:34,800 Speaker 2: that we don't need nearly this much compute, right, maybe 1092 00:59:34,800 --> 00:59:37,760 Speaker 2: the influence model works. I'm at a company that is 1093 00:59:38,000 --> 00:59:42,360 Speaker 2: literally using rat brain stem cells to try to power compute. 1094 00:59:42,600 --> 00:59:45,720 Speaker 2: Whether it works, who knows, right, But like, there's lots 1095 00:59:45,760 --> 00:59:48,479 Speaker 2: of different ways to go about it. And I think 1096 00:59:48,520 --> 00:59:53,080 Speaker 2: that if your Jensen want you know, you say, if 1097 00:59:53,120 --> 00:59:55,120 Speaker 2: I announced I'm going to spend a trillion dollars on 1098 00:59:55,200 --> 01:00:00,000 Speaker 2: data centers, my valuation goes way up immediately, and the truth, 1099 01:00:00,280 --> 01:00:02,880 Speaker 2: by the time that the bill comes due, I'm probably 1100 01:00:02,960 --> 01:00:06,280 Speaker 2: long gone. My shares became worth more and more money 1101 01:00:06,320 --> 01:00:09,000 Speaker 2: in the short term, and even if all that debt 1102 01:00:09,080 --> 01:00:11,640 Speaker 2: goes bad and people's four oh one k's get wiped 1103 01:00:11,680 --> 01:00:16,000 Speaker 2: out as a result, not really your problem. So yeah, narrative, 1104 01:00:16,200 --> 01:00:18,840 Speaker 2: you know, for better and for worse, you know, it 1105 01:00:18,840 --> 01:00:21,160 Speaker 2: has overwhelming influence over everything else. 1106 01:00:21,600 --> 01:00:23,800 Speaker 1: No, and it's like, it's not just politics, it's it's 1107 01:00:23,840 --> 01:00:25,920 Speaker 1: it's business. Let me get you out of here on 1108 01:00:25,960 --> 01:00:31,240 Speaker 1: this is is it better to be a public company 1109 01:00:31,320 --> 01:00:33,400 Speaker 1: or a private company in twenty twenty five and in 1110 01:00:33,400 --> 01:00:34,200 Speaker 1: twenty twenty. 1111 01:00:34,000 --> 01:00:40,080 Speaker 2: Six, that's a great, great question. I believe that tech 1112 01:00:40,120 --> 01:00:44,000 Speaker 2: startups stay private for too long. And the reason they 1113 01:00:44,080 --> 01:00:47,520 Speaker 2: stay private oftentimes is it's easier you don't have all 1114 01:00:47,640 --> 01:00:50,280 Speaker 2: the scrutiny of the market and analysts and investors and 1115 01:00:50,320 --> 01:00:56,560 Speaker 2: all of that. And b oftentimes they're really overvalued and 1116 01:00:56,600 --> 01:00:59,200 Speaker 2: they're afraid to go to the public markets because they're 1117 01:00:59,200 --> 01:01:02,280 Speaker 2: going to face a deep cut in the share price. 1118 01:01:02,680 --> 01:01:04,440 Speaker 2: They might have a good IPO day, but then you 1119 01:01:04,520 --> 01:01:07,240 Speaker 2: look six months later and it's down seventy percent, and 1120 01:01:07,280 --> 01:01:10,440 Speaker 2: that's because fundamentally the company was never worth what people 1121 01:01:10,520 --> 01:01:12,640 Speaker 2: like me said it was in the first place. And 1122 01:01:12,720 --> 01:01:14,480 Speaker 2: we tell me if this is a little too technical, 1123 01:01:14,520 --> 01:01:17,960 Speaker 2: but in the venture world, we have gotten into a 1124 01:01:18,000 --> 01:01:21,680 Speaker 2: game where the real way for people to make money 1125 01:01:21,800 --> 01:01:24,480 Speaker 2: is have more AUM assets under management, because you get 1126 01:01:24,480 --> 01:01:27,880 Speaker 2: a two percent fee. So if you can have billions 1127 01:01:27,920 --> 01:01:30,640 Speaker 2: of dollars of AUM it doesn't really matter what your 1128 01:01:30,640 --> 01:01:33,560 Speaker 2: investment performance is because the management fee is worth tens 1129 01:01:33,560 --> 01:01:36,280 Speaker 2: of millions of dollars and if you're the you know, 1130 01:01:36,360 --> 01:01:39,560 Speaker 2: the main GP, you can pocket that. And so as 1131 01:01:39,600 --> 01:01:42,120 Speaker 2: a result, if you are raising much more money than 1132 01:01:42,120 --> 01:01:44,440 Speaker 2: you need to get that two percent, you have to 1133 01:01:44,480 --> 01:01:48,040 Speaker 2: deploy it at much higher evaluations to make the math work. 1134 01:01:48,400 --> 01:01:50,480 Speaker 2: And everyone's in on the joke from sort of the 1135 01:01:50,560 --> 01:01:54,240 Speaker 2: earliest stage, you know, investor to Fidelity, whoever at the 1136 01:01:54,280 --> 01:01:58,600 Speaker 2: Series F for g. And then they know that it 1137 01:01:58,680 --> 01:02:01,120 Speaker 2: all works for as long as are not exposed. And 1138 01:02:01,200 --> 01:02:04,720 Speaker 2: what exposes it is often the public markets. As I 1139 01:02:04,800 --> 01:02:08,040 Speaker 2: think tech companies stay private for way too long as 1140 01:02:08,040 --> 01:02:12,400 Speaker 2: a result, and that is really harmful to the employees, 1141 01:02:12,760 --> 01:02:15,560 Speaker 2: to consumers, to a lot of other people. So I 1142 01:02:16,040 --> 01:02:18,760 Speaker 2: think that ultimately I would really like to see the 1143 01:02:18,840 --> 01:02:21,360 Speaker 2: speed to market increase. 1144 01:02:21,880 --> 01:02:25,280 Speaker 1: How would you incentivize that because right now, I mean, 1145 01:02:25,320 --> 01:02:28,280 Speaker 1: I'll be honest, is as much as look, I'm an 1146 01:02:28,320 --> 01:02:31,160 Speaker 1: advocate of the public markets. I think the public markets 1147 01:02:31,160 --> 01:02:33,680 Speaker 1: are for all the reasons you just said, right, It's 1148 01:02:33,720 --> 01:02:37,560 Speaker 1: a way to protect employee rights and all those things 1149 01:02:37,800 --> 01:02:39,720 Speaker 1: you have. You know, it's having another set of eyes 1150 01:02:40,160 --> 01:02:45,360 Speaker 1: on everything. But I think the incentive is to stay private, 1151 01:02:45,600 --> 01:02:47,840 Speaker 1: and atentive is But if you so, how do you 1152 01:02:47,840 --> 01:02:50,520 Speaker 1: incentivize the public. How do you incentivize. 1153 01:02:49,960 --> 01:02:55,120 Speaker 2: Driven by the institutional capital allocators, meaning the giant pension funds, 1154 01:02:55,120 --> 01:03:00,440 Speaker 2: the sovereign wealth funds, the endowments that give hundreds of 1155 01:03:00,440 --> 01:03:02,960 Speaker 2: millions of dollars or billions of dollars to a private 1156 01:03:02,960 --> 01:03:07,120 Speaker 2: equity fund of entra capital fund, whatever it is. Because ultimately, 1157 01:03:07,600 --> 01:03:11,040 Speaker 2: every year that the company stays private, the RR of 1158 01:03:11,360 --> 01:03:14,880 Speaker 2: the pension fund goes down. Right, So the people who 1159 01:03:15,000 --> 01:03:18,960 Speaker 2: ultimately control the money are way too lax in the 1160 01:03:19,000 --> 01:03:22,040 Speaker 2: requirements and pression that they put on the funds that 1161 01:03:22,080 --> 01:03:22,840 Speaker 2: they invest in. 1162 01:03:22,920 --> 01:03:25,920 Speaker 1: And so you think that people running the pension funds 1163 01:03:25,960 --> 01:03:28,400 Speaker 1: could put more pressure in these private companies. And you 1164 01:03:28,440 --> 01:03:30,800 Speaker 1: want our if they want our crash, you need to 1165 01:03:30,800 --> 01:03:31,320 Speaker 1: go public. 1166 01:03:31,480 --> 01:03:34,120 Speaker 2: Yeah, they said to Sequoia, if you don't get your 1167 01:03:34,160 --> 01:03:38,200 Speaker 2: average company from your investment to an IPO down by 1168 01:03:38,240 --> 01:03:41,360 Speaker 2: twenty five percent, we're not doing your next fund. At 1169 01:03:41,360 --> 01:03:43,720 Speaker 2: the next board meeting, the person with Zaquoia on the 1170 01:03:43,760 --> 01:03:46,160 Speaker 2: board is betting in the table, saying we got to 1171 01:03:46,200 --> 01:03:49,400 Speaker 2: get to the market faster. So that's where the power 1172 01:03:49,440 --> 01:03:52,440 Speaker 2: lies in this situation. And I really think that in 1173 01:03:52,440 --> 01:03:55,920 Speaker 2: some ways because the public pension funds especially or look 1174 01:03:55,960 --> 01:03:58,200 Speaker 2: when I was deputy governor of Illinois, like I saw this. 1175 01:03:58,280 --> 01:04:01,240 Speaker 2: We would appoint people, but there are pointees right to 1176 01:04:01,320 --> 01:04:04,400 Speaker 2: the pension funds. They weren't business people and as a result, 1177 01:04:04,720 --> 01:04:09,959 Speaker 2: they're often poorly run. And you know, they are more 1178 01:04:10,040 --> 01:04:12,240 Speaker 2: eager to be able to say I'm in sequoia, I'm 1179 01:04:12,240 --> 01:04:15,120 Speaker 2: in in grease and whatever it is KKR. Then it 1180 01:04:15,200 --> 01:04:19,280 Speaker 2: is demaining that the leaders of those funds be accountable 1181 01:04:19,440 --> 01:04:23,600 Speaker 2: and provide really good returns. And so you know, that's 1182 01:04:23,640 --> 01:04:29,240 Speaker 2: where it has to come from. 1183 01:04:29,320 --> 01:04:33,360 Speaker 1: Anybody, uh, anybody getting grabbing your attention for twenty twenty 1184 01:04:33,360 --> 01:04:34,960 Speaker 1: eight that you're excited about yet. 1185 01:04:34,920 --> 01:04:37,920 Speaker 2: Or no, because in part, if you go back to 1186 01:04:37,920 --> 01:04:40,680 Speaker 2: the conversation we had about twelve minutes ago, I would 1187 01:04:40,720 --> 01:04:43,439 Speaker 2: say that I don't know who the rock star is yet, 1188 01:04:44,000 --> 01:04:47,360 Speaker 2: and I know that if I just find the look 1189 01:04:47,760 --> 01:04:50,120 Speaker 2: you know, like you people come through New York and 1190 01:04:50,160 --> 01:04:51,840 Speaker 2: they're rising money or whatever in the car. 1191 01:04:52,000 --> 01:04:55,200 Speaker 1: Yeah, you meet these people, right you kick, they're smart, 1192 01:04:55,200 --> 01:04:59,360 Speaker 1: anyone's for president smart, they're impressive. Well, they're they're also 1193 01:04:59,400 --> 01:05:02,920 Speaker 1: super narsiss. I always say this, like you run for president, 1194 01:05:03,440 --> 01:05:05,960 Speaker 1: You're like, boy, you know you're You're a bit different 1195 01:05:05,960 --> 01:05:08,240 Speaker 1: than most of us who don't think we should be right, 1196 01:05:08,480 --> 01:05:08,960 Speaker 1: but you're. 1197 01:05:08,840 --> 01:05:13,360 Speaker 2: Good at this. And so I don't trust my own 1198 01:05:13,400 --> 01:05:16,120 Speaker 2: reaction in those meetings. And I've spent a lifetime around 1199 01:05:16,120 --> 01:05:18,960 Speaker 2: politicians because I understand what they're really good at, and 1200 01:05:18,960 --> 01:05:22,680 Speaker 2: that's what they're really good at, and so I don't 1201 01:05:22,800 --> 01:05:24,960 Speaker 2: maybe it's you know, returned to the version of Iowa, 1202 01:05:25,160 --> 01:05:27,480 Speaker 2: but I would like to see something that shows me 1203 01:05:27,680 --> 01:05:30,960 Speaker 2: because look, I'm a rich guy in Manhattan, right. I 1204 01:05:31,000 --> 01:05:35,280 Speaker 2: am not an any way indicative of America, right you. 1205 01:05:36,320 --> 01:05:39,520 Speaker 2: I live in downtown, I went to Ivy League schools. 1206 01:05:39,520 --> 01:05:42,360 Speaker 2: I'm everything that the that the right hates right many ways, 1207 01:05:42,800 --> 01:05:46,440 Speaker 2: and I'm not a good barometer for who's gonna win 1208 01:05:46,520 --> 01:05:51,280 Speaker 2: Iowa or New Hampshire. And so for me, what I'm 1209 01:05:51,280 --> 01:05:53,160 Speaker 2: trying to do is know what I don't know. And 1210 01:05:53,240 --> 01:05:56,400 Speaker 2: rather than saying, oh, Josh Shapiro is the guy, Yeah 1211 01:05:56,760 --> 01:05:58,720 Speaker 2: he might. I don't even know Josh Piera, but he 1212 01:05:58,840 --> 01:06:00,800 Speaker 2: might resonate really well with in a one on one 1213 01:06:01,000 --> 01:06:03,800 Speaker 2: launch or whatever it is. But so what right, So 1214 01:06:05,520 --> 01:06:08,480 Speaker 2: I would like to try to figure out a way 1215 01:06:09,280 --> 01:06:12,280 Speaker 2: that who is the candidate that can do what you 1216 01:06:12,400 --> 01:06:15,200 Speaker 2: talked about, which is they figured out how to navigate 1217 01:06:15,200 --> 01:06:17,720 Speaker 2: the independence in New Hampshire, they figured out how to 1218 01:06:17,800 --> 01:06:21,840 Speaker 2: organize ninety nine counties in Iowa, and then through that 1219 01:06:22,200 --> 01:06:24,880 Speaker 2: you knew this person has the intangible skill. 1220 01:06:25,640 --> 01:06:27,520 Speaker 1: Well it goes back. You know, it's funny you brought 1221 01:06:27,560 --> 01:06:29,480 Speaker 1: up the Battle of the Network Stars. By the way, 1222 01:06:29,480 --> 01:06:32,000 Speaker 1: if you if you ever want to entertain yourself, go 1223 01:06:32,040 --> 01:06:34,440 Speaker 1: look at go go watch highlight reels of that on YouTube, 1224 01:06:34,480 --> 01:06:37,000 Speaker 1: because they haven't. Okay, oh my god, it's it's fantastic. 1225 01:06:37,320 --> 01:06:41,080 Speaker 1: It's unbelievable, right you just see the You're like, how 1226 01:06:41,160 --> 01:06:44,400 Speaker 1: much cocaine was being done behind the scenes, right, there 1227 01:06:44,480 --> 01:06:48,080 Speaker 1: is no doubt, Like you wouldn't have it if there 1228 01:06:48,160 --> 01:06:50,400 Speaker 1: was it, like you know, the amount of like crazy 1229 01:06:50,520 --> 01:06:53,880 Speaker 1: s seventies coke that was taking place. But anyway, that 1230 01:06:53,920 --> 01:06:57,880 Speaker 1: ought to be actually a pretty good Netflix limited series 1231 01:06:57,960 --> 01:07:00,720 Speaker 1: like behind the scenes and the battles and would starts. 1232 01:07:00,880 --> 01:07:02,240 Speaker 1: I'm sure it'd be you know. 1233 01:07:03,000 --> 01:07:06,040 Speaker 2: Just hilarious investing and we're going to make the show. 1234 01:07:06,240 --> 01:07:08,560 Speaker 1: Let's make that show. It would be you know, tell 1235 01:07:08,640 --> 01:07:11,200 Speaker 1: us the real story of Farah Faucet and Lee Majors, 1236 01:07:11,280 --> 01:07:16,760 Speaker 1: you know, like those those sorts of things. But there 1237 01:07:16,800 --> 01:07:20,240 Speaker 1: is a series of tests that we want these candidates 1238 01:07:20,280 --> 01:07:22,840 Speaker 1: to go through. And while I don't think we want 1239 01:07:22,880 --> 01:07:26,200 Speaker 1: it to look like Survivor or a game show, in 1240 01:07:26,280 --> 01:07:31,080 Speaker 1: some ways I do. I do like that there are 1241 01:07:31,160 --> 01:07:34,760 Speaker 1: all these weird obstacles in the primary calendar, or that 1242 01:07:34,800 --> 01:07:39,360 Speaker 1: there used to be, because while it doesn't test you 1243 01:07:39,400 --> 01:07:42,200 Speaker 1: on whether how you're going to handle Putin, if you 1244 01:07:42,360 --> 01:07:47,240 Speaker 1: can't handle you know, the person that you got to 1245 01:07:47,280 --> 01:07:50,560 Speaker 1: deal with in Columbia, South Carolina, that that in order 1246 01:07:50,600 --> 01:07:53,960 Speaker 1: to navigate you know, precinct, why well, then how the 1247 01:07:54,000 --> 01:07:56,520 Speaker 1: hell do we expect you to be able to handle 1248 01:07:56,640 --> 01:07:58,200 Speaker 1: a tough moment with Putin? Right? 1249 01:07:58,280 --> 01:08:02,600 Speaker 2: So, the modern version that actually is the candidates who 1250 01:08:02,600 --> 01:08:05,720 Speaker 2: are truly adapt to new forms of technology, whether it 1251 01:08:05,840 --> 01:08:10,680 Speaker 2: was Kennedy and television or Obama and text, or Trump 1252 01:08:10,680 --> 01:08:14,520 Speaker 2: and Twitter or Mandani in short form video, they do 1253 01:08:14,720 --> 01:08:17,559 Speaker 2: really well because that becomes the way to do it. 1254 01:08:18,840 --> 01:08:21,880 Speaker 1: No, it's a you're not wrong, it's like how do 1255 01:08:21,920 --> 01:08:25,360 Speaker 1: we how do we how do we sort of celebrate 1256 01:08:25,439 --> 01:08:27,800 Speaker 1: that part of the prime because you know, there's plenty 1257 01:08:27,800 --> 01:08:31,000 Speaker 1: of people who will criticize our conversation. You're trying to gamify. 1258 01:08:31,479 --> 01:08:33,880 Speaker 1: It is sort of, it's not gamify. It's simply finding 1259 01:08:33,920 --> 01:08:39,080 Speaker 1: the person who's got the best attributes to handle how 1260 01:08:39,120 --> 01:08:40,599 Speaker 1: the job is done today. 1261 01:08:40,880 --> 01:08:46,360 Speaker 2: Plus a binary contest is a game by definition, right, 1262 01:08:46,560 --> 01:08:48,880 Speaker 2: So like we're already in that construct. 1263 01:08:49,600 --> 01:08:54,080 Speaker 1: Yeah, well, mobile voting, when will we see the first votes. 1264 01:08:54,400 --> 01:08:59,320 Speaker 2: April in Anchorage? And then my hope would be a 1265 01:08:59,360 --> 01:09:01,120 Speaker 2: whole bunch of these in different states. 1266 01:09:01,360 --> 01:09:04,640 Speaker 1: What does success look like to you? Fifty turnout? Like 1267 01:09:04,720 --> 01:09:05,960 Speaker 1: huge increases, You're not. 1268 01:09:05,960 --> 01:09:08,880 Speaker 2: Going to get that in year one. So Estonia is 1269 01:09:08,880 --> 01:09:10,840 Speaker 2: the one country in the world that has had internet 1270 01:09:10,920 --> 01:09:13,040 Speaker 2: voting for twenty years. I went over there this summer 1271 01:09:13,080 --> 01:09:14,280 Speaker 2: to kind of meet with a lot of people and 1272 01:09:14,360 --> 01:09:17,040 Speaker 2: learn more about it. So in year one it was 1273 01:09:17,120 --> 01:09:21,760 Speaker 2: one point three percent of voters voted online. Today it's well, 1274 01:09:22,120 --> 01:09:26,960 Speaker 2: it's a significant majority, right, And they went from having 1275 01:09:27,760 --> 01:09:31,000 Speaker 2: higher national turnout and low local turnout to sort of 1276 01:09:31,080 --> 01:09:34,639 Speaker 2: normalize get across the board, whereas now even Musp elections 1277 01:09:34,640 --> 01:09:37,960 Speaker 2: are getting fifty instead of five because people just got 1278 01:09:38,040 --> 01:09:40,320 Speaker 2: used to it and it just became so easy that 1279 01:09:40,360 --> 01:09:42,200 Speaker 2: there's no reason not to do it. So that's what 1280 01:09:42,240 --> 01:09:42,840 Speaker 2: I'm going for. 1281 01:09:43,320 --> 01:09:45,920 Speaker 1: Hey, in nineteen ninety five, the state of Oregon ran 1282 01:09:45,920 --> 01:09:50,320 Speaker 1: this interesting experiment for mail in voting. It was the 1283 01:09:50,360 --> 01:09:55,639 Speaker 1: special election to replace Bob Packway the entire West coast. 1284 01:09:55,720 --> 01:09:59,040 Speaker 1: Now it majority votes by mail. Yeah right, you know, 1285 01:09:59,120 --> 01:10:00,439 Speaker 1: and that was just thirty years ago. 1286 01:10:00,920 --> 01:10:02,639 Speaker 2: So that's that's what I'm hoping to do here. 1287 01:10:02,960 --> 01:10:05,599 Speaker 1: Yeah, well, I'll be watching rather than this great conversation 1288 01:10:05,600 --> 01:10:06,200 Speaker 1: and this was. 1289 01:10:06,160 --> 01:10:08,519 Speaker 2: Super fun and yeah, absolutely loved it to meet and 1290 01:10:08,520 --> 01:10:10,840 Speaker 2: sort we'll do it again, all right, See, thank you. 1291 01:10:14,600 --> 01:10:17,680 Speaker 1: There's a reason results matter more than promises, just like 1292 01:10:17,720 --> 01:10:20,839 Speaker 1: there's a reason Morgan and Morgan is America's largest injury 1293 01:10:20,920 --> 01:10:23,639 Speaker 1: law firm. For the last thirty five years, they've recovered 1294 01:10:23,760 --> 01:10:26,919 Speaker 1: twenty five billion dollars for more than half a million clients. 1295 01:10:27,479 --> 01:10:31,080 Speaker 1: It includes cases where insurance companies offered next to nothing, 1296 01:10:31,360 --> 01:10:34,120 Speaker 1: just hoping to get away with paying as little as possible. 1297 01:10:34,200 --> 01:10:37,240 Speaker 1: Morgan and Morgan fought back ended up winning millions. In fact, 1298 01:10:37,360 --> 01:10:40,479 Speaker 1: in Pennsylvania, one client was awarded twenty six million dollars, 1299 01:10:40,960 --> 01:10:44,000 Speaker 1: which was a staggering forty times the amount that the 1300 01:10:44,040 --> 01:10:47,280 Speaker 1: insurance company originally offered that original offer six hundred and 1301 01:10:47,360 --> 01:10:50,880 Speaker 1: fifty thousand dollars twenty six million, six hundred fifty thousand dollars. 1302 01:10:50,960 --> 01:10:53,120 Speaker 1: So with more than one thousand lawyers across the country, 1303 01:10:53,240 --> 01:10:55,879 Speaker 1: they know how to deliver for everyday people. If you're injured, 1304 01:10:56,000 --> 01:10:58,559 Speaker 1: you need a lawyer, You need somebody to get your back. 1305 01:10:58,960 --> 01:11:01,720 Speaker 1: Check out for the People dot com, Slash podcast or 1306 01:11:02,160 --> 01:11:07,320 Speaker 1: Dow Pound Law Pound five two nine law on your 1307 01:11:07,360 --> 01:11:09,960 Speaker 1: cell phone. And remember all law firms are not the same, 1308 01:11:10,000 --> 01:11:12,160 Speaker 1: so check out Morgan and Morgan. Their fee is free 1309 01:11:12,439 --> 01:11:13,080 Speaker 1: unless they win