1 00:00:03,040 --> 00:00:06,640 Speaker 1: I have an extra special guest this week. His name 2 00:00:06,920 --> 00:00:12,040 Speaker 1: is Rick Wilson. He is a Republican political strategist, media consultant, 3 00:00:12,080 --> 00:00:17,240 Speaker 1: and author who has produced numerous television commercials for governors, 4 00:00:17,239 --> 00:00:21,759 Speaker 1: senate candidates, super PACs corporations. He helped campaign for Connie 5 00:00:21,760 --> 00:00:27,480 Speaker 1: mac for the Florida UH Senate campaign. He was George H. W. 6 00:00:27,680 --> 00:00:31,680 Speaker 1: Bush's field director in Florida. He was the presidential appointee 7 00:00:31,960 --> 00:00:35,400 Speaker 1: to the Department of Defense under Dick Cheney. He created 8 00:00:35,440 --> 00:00:38,720 Speaker 1: a number of award winning ads for Rudolph Giuliani in 9 00:00:38,760 --> 00:00:44,080 Speaker 1: the seven mayoral election, also campaign for Giuliani for the 10 00:00:44,159 --> 00:00:48,320 Speaker 1: two thousand Senate seat. And he is the author of 11 00:00:48,440 --> 00:00:53,840 Speaker 1: Everything Trump Touches Dies. A Republican strategist gets Real about 12 00:00:53,880 --> 00:00:58,240 Speaker 1: the worst President ever. Rick Wilson, Welcome to Bloomberg. Well, 13 00:00:58,280 --> 00:01:01,600 Speaker 1: thank you, very appreciate that I've been looking forward to this. 14 00:01:01,720 --> 00:01:04,039 Speaker 1: But I gotta ask you, what's your beef with Trump? 15 00:01:04,080 --> 00:01:08,800 Speaker 1: He's making America great again. Well, that's a great catchphrase, Berry, 16 00:01:08,880 --> 00:01:10,920 Speaker 1: but it's also at variance with a lot of the 17 00:01:10,959 --> 00:01:13,880 Speaker 1: things that that I, as a conservative believe in. Okay, 18 00:01:14,480 --> 00:01:17,320 Speaker 1: give us some example, limiting the size of government, engaging 19 00:01:17,319 --> 00:01:20,560 Speaker 1: in a in a trade war that is ultimately going 20 00:01:20,600 --> 00:01:22,720 Speaker 1: to end, as all trade wars do, with a complete 21 00:01:22,760 --> 00:01:26,200 Speaker 1: economic and political disaster. But look, Donald Trump isn't a 22 00:01:26,200 --> 00:01:28,319 Speaker 1: conservative in the traditional way. He's more of a status 23 00:01:28,360 --> 00:01:30,840 Speaker 1: more of an authoritarian, and it's definitely some stuff that 24 00:01:30,880 --> 00:01:33,440 Speaker 1: I have a lot of issues with as a conservative. 25 00:01:33,760 --> 00:01:37,119 Speaker 1: There's nothing that Donald Trump's character has ever indicated that he, 26 00:01:37,400 --> 00:01:40,479 Speaker 1: you know, has any of the traits of moral probity, 27 00:01:40,600 --> 00:01:45,039 Speaker 1: or personal responsibility, or accountability or integrity. And so there 28 00:01:45,040 --> 00:01:46,360 Speaker 1: were a lot of these reasons that I thought that 29 00:01:46,400 --> 00:01:49,200 Speaker 1: Trump would be a damaging force in the country, not 30 00:01:49,240 --> 00:01:52,200 Speaker 1: only for conservatism, but for our economy and for our 31 00:01:52,200 --> 00:01:54,480 Speaker 1: system of government. And I've been I've been proven pretty 32 00:01:54,480 --> 00:01:57,120 Speaker 1: consistently right on this over the last two years. I 33 00:01:57,160 --> 00:02:00,559 Speaker 1: have to admit I was pretty shocked. I'm a lifelow 34 00:02:00,560 --> 00:02:03,120 Speaker 1: in New Yorker. Everybody in New York kind of knows 35 00:02:03,160 --> 00:02:06,160 Speaker 1: what Trump's gig is. It's no big surprise. We all 36 00:02:06,240 --> 00:02:09,640 Speaker 1: either know someone who's worked with him, or been involved 37 00:02:09,639 --> 00:02:12,520 Speaker 1: with one of his properties, or been sued by him. 38 00:02:12,600 --> 00:02:16,400 Speaker 1: And um, I was shocked at how easily the right 39 00:02:16,480 --> 00:02:20,720 Speaker 1: wing just what his line when it was clearly nonsense, 40 00:02:20,840 --> 00:02:26,160 Speaker 1: you know, at least about being a conservative, a fiscal conservative, etcetera, exactly, 41 00:02:26,280 --> 00:02:28,359 Speaker 1: you know. And and my New York experience started in 42 00:02:28,480 --> 00:02:30,920 Speaker 1: ninety working for Rudy in the first in the re 43 00:02:31,000 --> 00:02:34,040 Speaker 1: election campaign, and then I was here in City Hall 44 00:02:34,080 --> 00:02:37,160 Speaker 1: for about a year working as this advisor and then 45 00:02:37,520 --> 00:02:40,400 Speaker 1: on the campaign against Hillary. So I got enough of 46 00:02:40,440 --> 00:02:42,239 Speaker 1: a taste of New York at that point to get 47 00:02:42,360 --> 00:02:45,120 Speaker 1: so where people read Donald Trump and how they scanned him, 48 00:02:45,240 --> 00:02:47,640 Speaker 1: And it was always like, yeah, the guy's kind of whatever, 49 00:02:47,800 --> 00:02:50,079 Speaker 1: but you know, we'll throw m some parking passes once 50 00:02:50,120 --> 00:02:54,760 Speaker 1: in a while. But and his ascent politically from people 51 00:02:54,800 --> 00:02:56,799 Speaker 1: here and other folks that have done business with him 52 00:02:56,800 --> 00:02:59,360 Speaker 1: and that I've known in Florida and elsewhere, they were 53 00:02:59,360 --> 00:03:01,920 Speaker 1: always stunned. How is how is anyone buying this con 54 00:03:02,040 --> 00:03:04,960 Speaker 1: How does anyone believe this guy? This bs is. Everybody 55 00:03:05,000 --> 00:03:08,880 Speaker 1: knows he's bankrupt constantly, every multiple everybody knows that this 56 00:03:08,880 --> 00:03:11,560 Speaker 1: guy is in debt up to his eyeballs. That this 57 00:03:11,639 --> 00:03:14,800 Speaker 1: is all a character he's playing on TV and not 58 00:03:15,000 --> 00:03:17,200 Speaker 1: the real guy. You know, all this idea that Trump 59 00:03:17,240 --> 00:03:18,760 Speaker 1: is one of the wealthiest men in the world, and 60 00:03:18,840 --> 00:03:22,480 Speaker 1: he's a amazing businessman, a masterful negotiator, all these things. 61 00:03:22,720 --> 00:03:25,360 Speaker 1: It's all bs, It's all crap. And they all knew it, 62 00:03:25,480 --> 00:03:28,800 Speaker 1: and and and why jump on the Trump train? And 63 00:03:29,160 --> 00:03:32,440 Speaker 1: was it just raw attraction to power? And not a 64 00:03:32,480 --> 00:03:36,080 Speaker 1: lot more than that. Trump identified something in the Republican 65 00:03:36,120 --> 00:03:39,640 Speaker 1: base that they really wanted. They wanted someone who was 66 00:03:39,680 --> 00:03:43,200 Speaker 1: so transgressive, who was going to blow up everything, because 67 00:03:43,760 --> 00:03:46,800 Speaker 1: there's a huge sense of inferiority in the Republican base there. 68 00:03:46,920 --> 00:03:51,280 Speaker 1: They really dislike the fact that the educated elites and 69 00:03:51,320 --> 00:03:54,520 Speaker 1: the Ivy League people quote unquote looked down on them. 70 00:03:54,600 --> 00:03:57,160 Speaker 1: So and that's been stoked over the years by Fox 71 00:03:57,200 --> 00:04:00,320 Speaker 1: and by the right wing talk radio circuit. And so 72 00:04:00,360 --> 00:04:02,840 Speaker 1: those folks got this sense that Donald Trump was going 73 00:04:02,880 --> 00:04:05,800 Speaker 1: to be, uh this, as I said, a transgressive and 74 00:04:05,840 --> 00:04:10,000 Speaker 1: destructive force for the establishment, which they hate. They hate 75 00:04:10,000 --> 00:04:15,720 Speaker 1: the establishment Republicans more than they hate Democrats. They have 76 00:04:15,800 --> 00:04:20,120 Speaker 1: a greater anxiety about about their own party's internal quote 77 00:04:20,200 --> 00:04:23,520 Speaker 1: unquote elites than they do about the Democrats. And so 78 00:04:23,720 --> 00:04:27,440 Speaker 1: Trump activated that very brilliantly, and the and the Republican 79 00:04:27,640 --> 00:04:30,160 Speaker 1: elected officials who followed along in his wake did it 80 00:04:30,240 --> 00:04:33,360 Speaker 1: for two reasons. The first reason, Man and I would 81 00:04:33,360 --> 00:04:35,320 Speaker 1: say about you know, in the house, there used to 82 00:04:35,360 --> 00:04:37,480 Speaker 1: be a lot fewer today. A lot of those guys 83 00:04:37,839 --> 00:04:39,920 Speaker 1: were just afraid of him. They're afraid of the Twitter feed, 84 00:04:39,920 --> 00:04:42,120 Speaker 1: They're afraid of his followers, they're afraid of the crazy train. 85 00:04:42,160 --> 00:04:44,840 Speaker 1: They're afraid of They're afraid of the people that Trump inspires. 86 00:04:45,240 --> 00:04:48,960 Speaker 1: You write about that in everything Trump touches dies that 87 00:04:49,000 --> 00:04:53,440 Speaker 1: there is a genuine fear amongst rank and file Republicans 88 00:04:53,960 --> 00:04:56,280 Speaker 1: that if this guy comes after me on Twitter, my 89 00:04:56,320 --> 00:05:00,560 Speaker 1: life is over. And they have a political fear that 90 00:05:00,600 --> 00:05:03,680 Speaker 1: they'll be primaried by some nutcase. They have to their 91 00:05:04,080 --> 00:05:06,200 Speaker 1: own rights, to their own to their own right or 92 00:05:06,440 --> 00:05:09,800 Speaker 1: or to the Trump zone. From the Trump zone, they 93 00:05:09,839 --> 00:05:12,800 Speaker 1: have a state run media. There is a there is 94 00:05:12,880 --> 00:05:16,719 Speaker 1: a deep sense that a lot of the followers of 95 00:05:16,760 --> 00:05:18,880 Speaker 1: Trump are the guys that are gonna come to your 96 00:05:18,920 --> 00:05:21,800 Speaker 1: town hall meeting and lose their minds with you. And 97 00:05:21,880 --> 00:05:23,200 Speaker 1: I tell a story in the book of a guy 98 00:05:23,200 --> 00:05:24,920 Speaker 1: who went to one of the first town hall meetings 99 00:05:24,920 --> 00:05:27,200 Speaker 1: and he was asked, are you going to support president 100 00:05:27,600 --> 00:05:30,039 Speaker 1: percent of the time? And he says, well, I want to. 101 00:05:30,080 --> 00:05:32,279 Speaker 1: I'm a Republican. I hope we can agree on a 102 00:05:32,279 --> 00:05:34,640 Speaker 1: lot of things, but you know, I'm gonna stand taking 103 00:05:34,680 --> 00:05:37,000 Speaker 1: a blind I'm going to stand up for my district first. 104 00:05:37,800 --> 00:05:40,279 Speaker 1: It's like, no, no, are you going to support Mr Trump? 105 00:05:40,360 --> 00:05:43,320 Speaker 1: One of the time and he says no, moves on 106 00:05:43,440 --> 00:05:45,600 Speaker 1: next question. By the time he gets off stage, his 107 00:05:45,640 --> 00:05:48,800 Speaker 1: Facebook page is filled up with death threats, his wife's 108 00:05:48,839 --> 00:05:51,159 Speaker 1: business Facebook page is filled up with death threats. His 109 00:05:51,200 --> 00:05:53,960 Speaker 1: Twitter feed is a mess, his kids school is getting 110 00:05:54,000 --> 00:05:57,600 Speaker 1: phone calls the next day. And it's because appropriate. Yeah, 111 00:05:57,640 --> 00:06:01,560 Speaker 1: it seems it seems like a normal political course, right, Um, 112 00:06:01,680 --> 00:06:04,160 Speaker 1: But it comes down to this point where the vast 113 00:06:04,160 --> 00:06:06,239 Speaker 1: majority of the members of the caucus are just afraid. 114 00:06:06,480 --> 00:06:09,960 Speaker 1: They're afraid of what Trump's gonna say or do. Um. 115 00:06:10,000 --> 00:06:13,320 Speaker 1: There's a handful of them who are true believers. There 116 00:06:13,360 --> 00:06:15,800 Speaker 1: are a few of these guys who really have all 117 00:06:15,800 --> 00:06:19,840 Speaker 1: the kool aide. Example, well, Devin is a perfect example. 118 00:06:20,120 --> 00:06:23,440 Speaker 1: Data rohbockers perfect well, you know, and we should discuss 119 00:06:24,560 --> 00:06:28,160 Speaker 1: his his district said, you're not putting your district first. 120 00:06:28,440 --> 00:06:30,480 Speaker 1: Lust him out, and that is something that you know, 121 00:06:30,600 --> 00:06:32,680 Speaker 1: that is something that we saw in this in this election. 122 00:06:33,080 --> 00:06:36,520 Speaker 1: Let's talk a little bit about the GOP. And there 123 00:06:36,560 --> 00:06:39,359 Speaker 1: were so many questions that I had as as I 124 00:06:39,400 --> 00:06:43,240 Speaker 1: was reading the book, the first of which was, what 125 00:06:43,279 --> 00:06:49,719 Speaker 1: was the response from your fellow Republicans when you pretty 126 00:06:49,800 --> 00:06:52,960 Speaker 1: much declared, Hey, this guy is not a Republican, he's 127 00:06:52,960 --> 00:06:55,479 Speaker 1: an impostor, and he will destroy the party if you 128 00:06:55,480 --> 00:06:58,000 Speaker 1: make him your nominee. That had to be some pretty 129 00:06:58,000 --> 00:07:01,560 Speaker 1: fierce pushback in the beginning, not at all. Really, in 130 00:07:01,600 --> 00:07:05,360 Speaker 1: the beginning, it was absolutely right, we're all in this together. 131 00:07:05,839 --> 00:07:09,200 Speaker 1: And one by one they fell to the conformity of 132 00:07:09,279 --> 00:07:12,720 Speaker 1: d C, which is a corporate town, and a lot 133 00:07:12,800 --> 00:07:16,080 Speaker 1: of them were dependent on work from the RNC or 134 00:07:16,080 --> 00:07:19,360 Speaker 1: the NRCC, or the Senate Committee or the Governor's Association. 135 00:07:19,880 --> 00:07:24,400 Speaker 1: And so they slowly, you know, shut their mouths, sat down, 136 00:07:24,520 --> 00:07:27,640 Speaker 1: made their peace with the Trump world. And look, I 137 00:07:27,680 --> 00:07:30,920 Speaker 1: had had a very successful career. I've done superPAC work 138 00:07:30,960 --> 00:07:34,040 Speaker 1: for the last ten years. I've done campaigns in thirty 139 00:07:34,120 --> 00:07:37,960 Speaker 1: eight states. I've been to the rodeo. I wasn't really, 140 00:07:38,200 --> 00:07:41,960 Speaker 1: you know, subject to a lot of the same motivations 141 00:07:42,000 --> 00:07:44,520 Speaker 1: that they were of, you know, keeping the keeping the 142 00:07:44,560 --> 00:07:47,720 Speaker 1: mortgage payments up on their five million dollar homes in Georgetown, Right, 143 00:07:48,280 --> 00:07:51,880 Speaker 1: So I had a slightly different take on some of that. 144 00:07:52,520 --> 00:07:55,400 Speaker 1: But it's also that that I've never tried to be 145 00:07:55,440 --> 00:07:57,800 Speaker 1: one of the d C guys. Yeah, they were all 146 00:07:58,120 --> 00:08:01,800 Speaker 1: centrist Republicans and compassion to conservatives when George Bush was president, 147 00:08:02,680 --> 00:08:04,720 Speaker 1: and the minute the tea party one, they were all 148 00:08:04,800 --> 00:08:07,480 Speaker 1: hair on fire libertarians. We were going to burn down 149 00:08:07,480 --> 00:08:11,560 Speaker 1: the government drowned in the bathtub, and and we were 150 00:08:11,560 --> 00:08:14,440 Speaker 1: gonna We're gonna adhere to the Constitution strictly. That that 151 00:08:14,640 --> 00:08:19,000 Speaker 1: sort of ethical um flexibility. Yeah, I mean, is it 152 00:08:19,120 --> 00:08:22,560 Speaker 1: that blatant? Is it? In d C? It's not even 153 00:08:22,640 --> 00:08:25,160 Speaker 1: just that obvious. Part of the trick for a lot 154 00:08:25,160 --> 00:08:27,680 Speaker 1: of these people was they basically had to hire Trump 155 00:08:27,680 --> 00:08:31,000 Speaker 1: people to make good with the Trump family on the 156 00:08:31,040 --> 00:08:33,599 Speaker 1: Trump Organization. A lot of these people in d C 157 00:08:34,040 --> 00:08:36,280 Speaker 1: who hated Donald Trump with the fire of a million 158 00:08:36,400 --> 00:08:40,920 Speaker 1: sons to keep their RNC contracts. Suddenly they were hiring 159 00:08:40,960 --> 00:08:43,600 Speaker 1: all these you know, cats and dogs that wandered in 160 00:08:43,640 --> 00:08:45,440 Speaker 1: from the Trump world who couldn't have gotten a job 161 00:08:45,440 --> 00:08:48,920 Speaker 1: at a burger king otherwise, and pretending that this was 162 00:08:49,040 --> 00:08:51,120 Speaker 1: that that they had always been Trump, they had always 163 00:08:51,120 --> 00:08:54,959 Speaker 1: been all about MAGA. So when did the push back 164 00:08:55,080 --> 00:08:58,880 Speaker 1: to you start in earnest? When did you really start 165 00:08:58,960 --> 00:09:03,360 Speaker 1: to have uh the GOP rank and file turn on you. 166 00:09:04,120 --> 00:09:06,480 Speaker 1: While on the front end, a lot of them have 167 00:09:06,520 --> 00:09:08,400 Speaker 1: said had to say publicly, well, are not working with 168 00:09:08,400 --> 00:09:12,120 Speaker 1: wreck anymore. Um, A lot of them still talk to me, 169 00:09:12,880 --> 00:09:14,800 Speaker 1: and I have taken on this weird role as like 170 00:09:14,800 --> 00:09:17,439 Speaker 1: a father confessor to some of these Republicans for the 171 00:09:17,520 --> 00:09:19,840 Speaker 1: last two years. They'll call me up and say, I 172 00:09:19,920 --> 00:09:22,320 Speaker 1: hate him. I hate him so much, I can't stand 173 00:09:22,360 --> 00:09:25,320 Speaker 1: this case destroying the country. And the next day they're 174 00:09:25,360 --> 00:09:27,840 Speaker 1: sitting around the cabinet off the cabinet room table, or 175 00:09:27,840 --> 00:09:30,320 Speaker 1: they're wearing a red hat at a rally because they're 176 00:09:30,320 --> 00:09:34,800 Speaker 1: just afraid. So they won't even vote against them. No, no, 177 00:09:35,240 --> 00:09:38,719 Speaker 1: they they're the fear defines them, and this desire to 178 00:09:38,840 --> 00:09:42,360 Speaker 1: please his base defines them these days. And so look, 179 00:09:42,520 --> 00:09:45,000 Speaker 1: once he got the nomination, I was definitely out of 180 00:09:45,000 --> 00:09:47,480 Speaker 1: the out of the family pic necklist for a while. 181 00:09:48,120 --> 00:09:52,040 Speaker 1: But I have spent the last two years speaking freely 182 00:09:52,559 --> 00:09:56,120 Speaker 1: and and and making a critique of Trump from the right, 183 00:09:56,720 --> 00:10:00,360 Speaker 1: and honestly, I'm liberated. You don't have a specially kind 184 00:10:00,440 --> 00:10:02,880 Speaker 1: things to say about Ryan's in the book. I don't 185 00:10:02,960 --> 00:10:05,839 Speaker 1: because he had every opportunity to pull this pull the 186 00:10:05,880 --> 00:10:10,679 Speaker 1: circuit breakers on Trump. Yeah, why didn't he? I I 187 00:10:10,720 --> 00:10:13,600 Speaker 1: think in many ways he feared that Donald Trump would 188 00:10:13,679 --> 00:10:16,920 Speaker 1: leave the party quote unquote, go to the Democrat and 189 00:10:17,000 --> 00:10:20,200 Speaker 1: run as an independent, and therefore would tap off a 190 00:10:20,280 --> 00:10:23,800 Speaker 1: small but meaningful percentage in enough states that Hillary would 191 00:10:23,800 --> 00:10:26,120 Speaker 1: be insure to win. That was That was what one 192 00:10:26,160 --> 00:10:28,120 Speaker 1: of his advisers, you know, said to me at the time, 193 00:10:28,120 --> 00:10:30,640 Speaker 1: And I said, is at an unreasonable position, it seems 194 00:10:30,679 --> 00:10:34,760 Speaker 1: fairly logical. Well, the thing about it is Donald Trump 195 00:10:34,800 --> 00:10:36,480 Speaker 1: at that point would not be able to raise money 196 00:10:36,480 --> 00:10:39,360 Speaker 1: from the Republican sucker base who loved him. He would 197 00:10:39,360 --> 00:10:41,720 Speaker 1: have had to actually spend his own money for real, 198 00:10:41,880 --> 00:10:43,160 Speaker 1: and we know he didn't want to do that. He 199 00:10:43,200 --> 00:10:45,280 Speaker 1: never does. He doesn't have any money to spend. So 200 00:10:45,400 --> 00:10:47,880 Speaker 1: my pet thesis about Trump this whole time has been 201 00:10:49,920 --> 00:10:53,640 Speaker 1: was a phenomenal branding opportunity for him. He ran, he 202 00:10:53,720 --> 00:10:57,960 Speaker 1: raised his profile. Everything he did financially after that was 203 00:10:58,000 --> 00:11:01,760 Speaker 1: a big win for him. I looked at is he 204 00:11:01,840 --> 00:11:05,040 Speaker 1: has no interest in winning. He just wants to take 205 00:11:05,080 --> 00:11:07,920 Speaker 1: all the free publicity, and of course and and the 206 00:11:08,000 --> 00:11:12,760 Speaker 1: people inside Trump's campaign for the last month of the campaign. Oh, 207 00:11:12,800 --> 00:11:14,360 Speaker 1: I can't wait till this is over. We're gonna go 208 00:11:14,400 --> 00:11:15,840 Speaker 1: have a big steak dinner. I gotta tell you the 209 00:11:15,880 --> 00:11:21,080 Speaker 1: crazy stories about this idiot. And on election night, Steve Bannon, 210 00:11:21,280 --> 00:11:24,719 Speaker 1: rants previous, Kelly and Conway, all the senior Trump staffers 211 00:11:25,120 --> 00:11:28,480 Speaker 1: are calling every reporter in the country saying it's his fault, 212 00:11:28,520 --> 00:11:32,400 Speaker 1: it's her fault, it's their fault. They were already they 213 00:11:32,440 --> 00:11:35,000 Speaker 1: were all this is. At at four forty five, I 214 00:11:35,000 --> 00:11:38,120 Speaker 1: got a phone call from from a major national reporter 215 00:11:38,160 --> 00:11:40,199 Speaker 1: who just said I just got off the phone with 216 00:11:40,360 --> 00:11:43,640 Speaker 1: one of the president's senior strategists who is today in 217 00:11:43,640 --> 00:11:47,560 Speaker 1: the White House. And this person told me, oh, Bannon's 218 00:11:47,600 --> 00:11:50,400 Speaker 1: an idiot and writes, blew this up. And they're just 219 00:11:50,520 --> 00:11:52,960 Speaker 1: morons in the family or a bunch of greedy, you know, 220 00:11:53,080 --> 00:11:56,640 Speaker 1: mafia people. This is a cry, this is this is horrifying. 221 00:11:57,200 --> 00:11:59,520 Speaker 1: And an hour and a half later, this person is 222 00:11:59,559 --> 00:12:03,079 Speaker 1: on the stage age waving and smiling. Because the night 223 00:12:03,120 --> 00:12:06,240 Speaker 1: came out differently, they had no anticipation of winning at all. 224 00:12:06,640 --> 00:12:10,520 Speaker 1: You could tell from the lack of lists of senior 225 00:12:10,559 --> 00:12:14,600 Speaker 1: cabinet people, ambassadors. There's still hundreds of unfilled slots. It's 226 00:12:14,600 --> 00:12:17,439 Speaker 1: two years later. Take a look at the tax cuts. 227 00:12:17,480 --> 00:12:20,200 Speaker 1: There's no rhyme, Maria. That was a Paul Ryan joint. 228 00:12:20,240 --> 00:12:23,000 Speaker 1: That wasn't a Donald Trump joint. He just cares about 229 00:12:23,040 --> 00:12:25,760 Speaker 1: the victory, is how I read it, and not the 230 00:12:25,800 --> 00:12:28,920 Speaker 1: policy DTA. He cares about the celebrity, yes, and that 231 00:12:28,920 --> 00:12:31,560 Speaker 1: that's always been what motivates Trump. A friend of his 232 00:12:32,120 --> 00:12:34,120 Speaker 1: former friend, current friend, I'm not sure you describe it 233 00:12:34,200 --> 00:12:37,360 Speaker 1: said any one time. Whatever makes him money, whatever puts 234 00:12:37,400 --> 00:12:39,720 Speaker 1: him on the in the papers that day. That's Donald 235 00:12:39,720 --> 00:12:42,720 Speaker 1: Trump's entire world. Fame, money, and love. Those are the 236 00:12:42,720 --> 00:12:46,160 Speaker 1: three most I wouldn't say love. Yeah, I'm trying to 237 00:12:46,160 --> 00:12:48,920 Speaker 1: put a nice spin on it. So let's talk about 238 00:12:49,240 --> 00:12:53,000 Speaker 1: what the Democrats should be learning from this election cycle. 239 00:12:53,400 --> 00:12:56,280 Speaker 1: What should they have done differently in sixteen, and what 240 00:12:56,320 --> 00:12:59,560 Speaker 1: should they be doing differently. Well, I think what they 241 00:12:59,640 --> 00:13:02,440 Speaker 1: learned this here, to their credit, and it's taken a 242 00:13:02,480 --> 00:13:05,520 Speaker 1: long road for them to get there, is to try 243 00:13:05,520 --> 00:13:08,280 Speaker 1: to nominate people for Congress who fit the district. For 244 00:13:08,440 --> 00:13:11,280 Speaker 1: years though they had this very top down approach where 245 00:13:11,280 --> 00:13:13,480 Speaker 1: no matter who you were where you were running. You 246 00:13:13,520 --> 00:13:16,040 Speaker 1: had to be the same Democrat that would be acceptable 247 00:13:16,040 --> 00:13:20,120 Speaker 1: in Manhattan or Democrats right. You had to be completely 248 00:13:20,240 --> 00:13:23,240 Speaker 1: pro choice, you had to be completely anti gun, you 249 00:13:23,280 --> 00:13:26,760 Speaker 1: had to be completely high taxes, purity tests, all the 250 00:13:26,800 --> 00:13:32,400 Speaker 1: ideological monoculture that Republicans like me used to defeat Democrats 251 00:13:32,440 --> 00:13:36,240 Speaker 1: all over the country. What they learned is, yeah, you 252 00:13:36,280 --> 00:13:39,000 Speaker 1: can you can. You can name an Occasio Cortez in 253 00:13:39,480 --> 00:13:43,719 Speaker 1: the Bronx, but you gotta name a Connor Lamb in Pennsylvania, 254 00:13:44,040 --> 00:13:48,120 Speaker 1: in western Pennsylvania, in rural areas. The Democrats finally seemed 255 00:13:48,160 --> 00:13:50,280 Speaker 1: to have started to learn that a little bit this year, 256 00:13:51,000 --> 00:13:53,640 Speaker 1: and some of their more progressive candidates like Andrew Gilham 257 00:13:53,679 --> 00:13:57,600 Speaker 1: in Florida, who you know, for all that people were 258 00:13:57,679 --> 00:14:01,080 Speaker 1: very enamored of Andrew Gillham, he was very far to 259 00:14:01,160 --> 00:14:04,200 Speaker 1: the left of where Florida is still came within one percent. 260 00:14:04,240 --> 00:14:06,320 Speaker 1: Pretty shock. It was a very impressive campaign. He's an 261 00:14:06,320 --> 00:14:09,199 Speaker 1: impressive candidate. So a lot of the more progressive guys 262 00:14:09,559 --> 00:14:11,320 Speaker 1: who felt like they still had to check all those 263 00:14:11,360 --> 00:14:16,120 Speaker 1: boxes fell short. And the fact that thirty one candidates 264 00:14:16,120 --> 00:14:20,880 Speaker 1: that Donald Trump endorsed for the House of Them lost 265 00:14:21,160 --> 00:14:26,360 Speaker 1: that's amazing. Yeah, there's a pretty thorough repudiation the Trump. 266 00:14:26,480 --> 00:14:31,400 Speaker 1: The Trump hit on House campaigns is something that we'll 267 00:14:31,440 --> 00:14:34,280 Speaker 1: have a longer political runout than the fact that they 268 00:14:34,320 --> 00:14:37,560 Speaker 1: won some Senate races and states that were the Democrats 269 00:14:37,600 --> 00:14:41,680 Speaker 1: were disproportionately holding those seats. I mean Claire mccaskell in Missouri, 270 00:14:41,720 --> 00:14:43,800 Speaker 1: that is the state that has trended redder and redder. 271 00:14:43,840 --> 00:14:47,480 Speaker 1: Indiana deeper and deeper red all the time. And so 272 00:14:48,400 --> 00:14:51,360 Speaker 1: you know, we're shocked that people that the Republicans won 273 00:14:51,360 --> 00:14:53,600 Speaker 1: in North Dakota, Trump won the state by thirty two points. 274 00:14:54,520 --> 00:14:56,720 Speaker 1: So let's talk about some of the changes from the 275 00:14:56,800 --> 00:15:00,720 Speaker 1: prior election. Uh, and you have to really begin with 276 00:15:01,360 --> 00:15:06,440 Speaker 1: white college educated suburban women. How significant was that group 277 00:15:06,520 --> 00:15:12,280 Speaker 1: for Democrats losing the White House in and how important 278 00:15:12,320 --> 00:15:15,360 Speaker 1: was it to this midtime of left about voted for 279 00:15:15,400 --> 00:15:20,200 Speaker 1: Donald Trump. Isn't that a kind of a shock, but 280 00:15:20,760 --> 00:15:25,000 Speaker 1: more than mid Romney. But right away, right away they 281 00:15:25,040 --> 00:15:29,400 Speaker 1: realized there was an almost immediate oops oops factor and 282 00:15:29,480 --> 00:15:33,640 Speaker 1: the tone and and things like Charlottesville and the immigration 283 00:15:33,680 --> 00:15:35,560 Speaker 1: putting up, putting kids in cages not a good look 284 00:15:35,560 --> 00:15:38,160 Speaker 1: for suburban educated women. They're not really keen on it. 285 00:15:38,800 --> 00:15:41,840 Speaker 1: So what you ended up with was they sort of 286 00:15:41,840 --> 00:15:44,480 Speaker 1: got a separation in the fall of in the winter, 287 00:15:46,080 --> 00:15:49,840 Speaker 1: and last night the divorce was final. They walked away 288 00:15:49,840 --> 00:15:53,600 Speaker 1: from the Republican Party and enormous numbers we're starting to 289 00:15:53,760 --> 00:15:55,480 Speaker 1: peel through the exit polls. But if you look in 290 00:15:55,520 --> 00:15:59,440 Speaker 1: places like Pennsylvania, the Democrats picked up four congressional seats there, 291 00:16:00,040 --> 00:16:03,280 Speaker 1: almost all of them in suburban areas where educated white 292 00:16:03,280 --> 00:16:07,520 Speaker 1: women are the driving political force. So here's the longtime question. 293 00:16:07,600 --> 00:16:10,120 Speaker 1: Did they walk away from Republicans? Did they walk away 294 00:16:10,120 --> 00:16:13,560 Speaker 1: from Trump? Is there a difference anymore? Well, I imagine 295 00:16:13,600 --> 00:16:16,400 Speaker 1: there is. So I'm i'm I get grief from friends 296 00:16:16,440 --> 00:16:19,680 Speaker 1: when I say I grew up a Jacob Javits Republican, 297 00:16:20,160 --> 00:16:23,880 Speaker 1: which is pretty middle of the road, balanced budget, low taxes, 298 00:16:23,960 --> 00:16:28,480 Speaker 1: no overseas adventures like Vietnam or subsequently Iraq, and keep 299 00:16:28,520 --> 00:16:31,920 Speaker 1: the government the hell out of the bedroom. Fairly moderate 300 00:16:32,040 --> 00:16:36,160 Speaker 1: Republican with the best part of the libertarian side. I 301 00:16:36,200 --> 00:16:39,280 Speaker 1: haven't changed. It's just that the hard right part of 302 00:16:39,320 --> 00:16:43,560 Speaker 1: the party has taken over and really driven things. Uh see, 303 00:16:43,560 --> 00:16:46,600 Speaker 1: there's a there's a real desire that we sort of 304 00:16:46,640 --> 00:16:50,800 Speaker 1: pretended wasn't there for a long time, not for limited 305 00:16:50,800 --> 00:16:53,880 Speaker 1: government and you know, the rule of law and low 306 00:16:53,920 --> 00:16:58,320 Speaker 1: taxes and constitutional adherents. There's been an appetite for a 307 00:16:58,360 --> 00:17:03,520 Speaker 1: sort of authoritarianism and a strongman, the bully character that's 308 00:17:03,560 --> 00:17:05,199 Speaker 1: been fed for a long time by the sort of 309 00:17:05,240 --> 00:17:08,960 Speaker 1: talk radio culture. And so we've ended up with, you 310 00:17:09,000 --> 00:17:11,439 Speaker 1: know what people wanted. They want the id of the 311 00:17:11,480 --> 00:17:15,520 Speaker 1: Republican Party, not the super ego. Quite interesting. What keeps 312 00:17:15,560 --> 00:17:18,240 Speaker 1: coming up all the time is that the country is 313 00:17:18,280 --> 00:17:22,760 Speaker 1: so divided, and part of me feels well, Congress is divided, 314 00:17:22,840 --> 00:17:26,439 Speaker 1: but there are so many things that Americans seem to 315 00:17:26,480 --> 00:17:29,760 Speaker 1: agree with. It almost feels like more and more of 316 00:17:29,840 --> 00:17:33,879 Speaker 1: us are living in purple states than deeper red and 317 00:17:33,920 --> 00:17:37,320 Speaker 1: deeper blue. And while there's certainly exceptions to New York 318 00:17:37,320 --> 00:17:42,159 Speaker 1: and California, Indiana and and um, I was gonna say Kansas, 319 00:17:42,240 --> 00:17:45,080 Speaker 1: but I guess I can't say Kansas anymore? How accurate 320 00:17:45,240 --> 00:17:48,480 Speaker 1: is that media depiction? Are we a nation divided? Or 321 00:17:48,560 --> 00:17:51,080 Speaker 1: or are there more things that unite us than divide us? 322 00:17:51,200 --> 00:17:55,560 Speaker 1: When it comes to the politics. The siloing off of 323 00:17:55,600 --> 00:17:59,760 Speaker 1: Americans has divided us profoundly. And what's the cause of that. 324 00:18:00,000 --> 00:18:03,560 Speaker 1: The first his politics has become a reality television show 325 00:18:03,600 --> 00:18:07,600 Speaker 1: that we're all living in and people every day are 326 00:18:07,680 --> 00:18:11,120 Speaker 1: fed by the channels they like, by the news sources 327 00:18:11,119 --> 00:18:14,119 Speaker 1: they like, and the Internet has allowed people to silo 328 00:18:14,200 --> 00:18:18,360 Speaker 1: themselves off into social groups. Look, we've become a disintermediate society. 329 00:18:18,560 --> 00:18:20,520 Speaker 1: We don't do the things we used to do as people, 330 00:18:20,720 --> 00:18:24,720 Speaker 1: and we don't we don't have the same sort of churches, 331 00:18:24,840 --> 00:18:28,200 Speaker 1: social clubs, bowling leagues, baseball teams, all these things people 332 00:18:28,280 --> 00:18:31,640 Speaker 1: used to do together. What's more important to them now 333 00:18:31,720 --> 00:18:35,359 Speaker 1: is their Facebook group, and they interact more with people 334 00:18:35,680 --> 00:18:38,960 Speaker 1: through social media, uh than they did before. And so 335 00:18:39,440 --> 00:18:42,320 Speaker 1: part of that whole social media problem is that people 336 00:18:42,320 --> 00:18:45,320 Speaker 1: want to portray this optimized image of themselves and to 337 00:18:45,640 --> 00:18:48,760 Speaker 1: and to get attention in that attention economy of social media, 338 00:18:49,040 --> 00:18:53,760 Speaker 1: and so they become flaming partisans, they become something visible 339 00:18:53,800 --> 00:18:57,600 Speaker 1: inside their social group. And so so that's that's number one. 340 00:18:57,680 --> 00:19:01,200 Speaker 1: That's a that's a huge um. So we clearly have 341 00:19:01,640 --> 00:19:04,399 Speaker 1: a divide set up by media. Let's talk about some 342 00:19:04,440 --> 00:19:09,040 Speaker 1: of the other more interesting issues of the modern electoral campaign. 343 00:19:09,600 --> 00:19:14,040 Speaker 1: The polling was under significant criticism in how they do 344 00:19:14,119 --> 00:19:18,280 Speaker 1: in a little better in some places, but we are 345 00:19:18,320 --> 00:19:22,320 Speaker 1: still at a point where we chase these polling stories 346 00:19:22,600 --> 00:19:26,199 Speaker 1: that are built on statistical models that don't reflect what 347 00:19:26,280 --> 00:19:28,560 Speaker 1: the turnout model is going to look like, and which 348 00:19:28,560 --> 00:19:30,760 Speaker 1: has to do with what is it enthusiasm or just 349 00:19:30,800 --> 00:19:33,560 Speaker 1: not being able to reach people, it's not. It's a 350 00:19:33,600 --> 00:19:35,760 Speaker 1: lot of There are a lot of mechanical and technical 351 00:19:35,800 --> 00:19:38,000 Speaker 1: problems in pulling. Now you used to have to make 352 00:19:38,000 --> 00:19:40,159 Speaker 1: a couple of thousand phone calls to get a decent sample, 353 00:19:40,640 --> 00:19:42,560 Speaker 1: and now you have to make ten thousand phone calls 354 00:19:42,560 --> 00:19:44,840 Speaker 1: to make get a decent sample. People don't answer their 355 00:19:44,840 --> 00:19:46,720 Speaker 1: cell phones from strange numbers that they don't because you 356 00:19:46,840 --> 00:19:51,520 Speaker 1: just assume it's it's it's spam, it's it's you know, 357 00:19:51,680 --> 00:19:54,320 Speaker 1: healthcare enrollment is open. Everybody's gotten those calls, a million 358 00:19:54,359 --> 00:19:58,560 Speaker 1: of them. Landline phones are going to sickly old people 359 00:19:59,680 --> 00:20:01,880 Speaker 1: plus or you know you're the chance of you owning 360 00:20:01,880 --> 00:20:04,920 Speaker 1: a landline phone now it means you are sixty or older. 361 00:20:05,160 --> 00:20:07,359 Speaker 1: So there are a lot of technical difficulties in pulling. 362 00:20:07,520 --> 00:20:11,120 Speaker 1: We also are seeing some better analytics coming out using 363 00:20:11,119 --> 00:20:13,560 Speaker 1: big data, using a lot of the things. I mean, look, 364 00:20:13,840 --> 00:20:15,919 Speaker 1: it used to be you would take a random digit 365 00:20:16,000 --> 00:20:19,040 Speaker 1: dial and you'd call you six hundred people and you'd 366 00:20:19,040 --> 00:20:22,000 Speaker 1: ask them pulling questions. Well, then you started making that 367 00:20:22,119 --> 00:20:24,120 Speaker 1: dial list off of the voter file, so you're really 368 00:20:24,119 --> 00:20:25,760 Speaker 1: talking to the people that are actually gonna be there. 369 00:20:26,240 --> 00:20:28,439 Speaker 1: Then you started modeling that and saying, Okay, well, this 370 00:20:28,440 --> 00:20:31,480 Speaker 1: guy's record since he's voted in to the last three primaries, 371 00:20:31,480 --> 00:20:33,359 Speaker 1: so we're gonna definitely talk to him. He's a likely. 372 00:20:34,200 --> 00:20:37,160 Speaker 1: And now we've got consumer data, we've got clicked data 373 00:20:37,200 --> 00:20:39,400 Speaker 1: from the internet, we've got you know, your we've got 374 00:20:39,400 --> 00:20:43,520 Speaker 1: the ability to say, Okay, this guy reads Bloomberg every day, 375 00:20:43,560 --> 00:20:46,440 Speaker 1: and he reads um the Wall Street Journal every day, 376 00:20:46,760 --> 00:20:48,600 Speaker 1: and he looks at drugs three times a day, so 377 00:20:48,640 --> 00:20:51,240 Speaker 1: we know he's an engaged person. Maybe the tax issues 378 00:20:51,280 --> 00:20:52,600 Speaker 1: that when we want to talk to him about while 379 00:20:52,600 --> 00:20:55,080 Speaker 1: asking this question. So there's a lot of stuff that's 380 00:20:55,119 --> 00:20:59,240 Speaker 1: giving us an enriched picture of who the voters are. Um, 381 00:20:59,280 --> 00:21:02,040 Speaker 1: but the guys I work with my posters, you know, 382 00:21:02,080 --> 00:21:03,639 Speaker 1: I was saying that people were gonna get thirty five 383 00:21:03,680 --> 00:21:05,919 Speaker 1: Democratic seats and two to three Republican pickups in that 384 00:21:06,000 --> 00:21:07,840 Speaker 1: in the Senate. That's pretty good. That's pretty good. We 385 00:21:08,080 --> 00:21:09,680 Speaker 1: were pretty happy with that. I mean, we didn't feel 386 00:21:09,680 --> 00:21:12,080 Speaker 1: like we missed a lot of big calls. And I've 387 00:21:12,080 --> 00:21:14,440 Speaker 1: been you know, as as a as a Purple State guy, 388 00:21:14,640 --> 00:21:17,439 Speaker 1: as a guy who still lives in Florida. You know, 389 00:21:17,840 --> 00:21:21,880 Speaker 1: I told people for weeks it's going to be razor Yeah, 390 00:21:21,880 --> 00:21:26,720 Speaker 1: it's it's it's votes a state of twenty million people. 391 00:21:26,840 --> 00:21:29,400 Speaker 1: Let's let's talk about Florida. Because what I haven't seen 392 00:21:29,440 --> 00:21:35,160 Speaker 1: a lot of people discussing has been the proposition that passed. Namely, 393 00:21:35,359 --> 00:21:39,160 Speaker 1: if you're a felon um and I think it's non violent, 394 00:21:39,280 --> 00:21:42,960 Speaker 1: it's non violent, non violent felon throughout most of America, 395 00:21:43,240 --> 00:21:45,639 Speaker 1: you go to jail and you lose the right to vote. 396 00:21:45,640 --> 00:21:50,120 Speaker 1: It's very much a disenfranchising um situation that falls into 397 00:21:50,200 --> 00:21:54,480 Speaker 1: proportionately on Peter. Now, there's something like a million, three 398 00:21:54,520 --> 00:21:58,720 Speaker 1: or one point four million felons in Florida who now 399 00:21:59,240 --> 00:22:02,600 Speaker 1: will have the right to vote. What does that do 400 00:22:02,760 --> 00:22:06,120 Speaker 1: to the state's dynamics. Well, it's interesting. Look, I don't 401 00:22:06,119 --> 00:22:07,920 Speaker 1: think every single one of those people is going to 402 00:22:08,000 --> 00:22:10,800 Speaker 1: become a likely voter. Okay, I don't think every single 403 00:22:10,800 --> 00:22:14,080 Speaker 1: one of those people is necessarily gonna be a democratic voter. However, 404 00:22:14,520 --> 00:22:17,480 Speaker 1: I strongly supported this because I believe that you know 405 00:22:17,680 --> 00:22:21,720 Speaker 1: our justice system, once your sentence is served, you've paid 406 00:22:21,760 --> 00:22:23,800 Speaker 1: the debt, you danger debt to society and you and 407 00:22:23,840 --> 00:22:26,720 Speaker 1: you get to move on. So I really think that 408 00:22:26,800 --> 00:22:30,159 Speaker 1: in that with that particular amendment, it spoke to a 409 00:22:30,160 --> 00:22:32,560 Speaker 1: fundamental sense of justice. It also spoke to something that 410 00:22:32,600 --> 00:22:35,359 Speaker 1: in Florida, we are one of the most punitive states 411 00:22:35,359 --> 00:22:37,600 Speaker 1: in the country on the criminal justice side. We put 412 00:22:37,600 --> 00:22:39,679 Speaker 1: a lot of young black guys in jail, and we 413 00:22:39,720 --> 00:22:42,040 Speaker 1: put a lot of them in jail for one point 414 00:22:42,080 --> 00:22:46,679 Speaker 1: oh one ounces of marijuana. Yeah, I mean this is this. 415 00:22:47,440 --> 00:22:49,000 Speaker 1: We we put a lot of them in jail in 416 00:22:49,040 --> 00:22:53,240 Speaker 1: the nineties during the hyper enforcement of the crack epidemic. 417 00:22:54,000 --> 00:22:56,840 Speaker 1: And I was part of the original right on crime movement, 418 00:22:57,200 --> 00:23:00,400 Speaker 1: where as conservatives, we we wanted to look at criminal 419 00:23:00,440 --> 00:23:02,600 Speaker 1: justice in this country and was this an application of 420 00:23:02,640 --> 00:23:06,040 Speaker 1: state power that was disproportionate, particularly to African American man. Sure, 421 00:23:06,240 --> 00:23:08,840 Speaker 1: and it is it's unarguable that that is the case. 422 00:23:09,359 --> 00:23:12,040 Speaker 1: And as a conservative, I don't want the state to 423 00:23:12,440 --> 00:23:15,400 Speaker 1: have this punitive thing hanging over these these guys heads 424 00:23:15,440 --> 00:23:19,080 Speaker 1: for their their entire lifespan. So I got an email 425 00:23:19,160 --> 00:23:21,760 Speaker 1: last night from a guy who not an African American, 426 00:23:22,160 --> 00:23:25,320 Speaker 1: guy who had had a low level, white collar thing. 427 00:23:26,040 --> 00:23:27,320 Speaker 1: He goes, I'm going to get to vote for the 428 00:23:27,320 --> 00:23:29,600 Speaker 1: first time in twenty two years. And this is a 429 00:23:29,600 --> 00:23:32,160 Speaker 1: guy who has been who went to jail for two 430 00:23:32,280 --> 00:23:36,240 Speaker 1: years and absolutely turned his life around in every conceivable way, 431 00:23:36,720 --> 00:23:39,919 Speaker 1: the straightest arrow in the universe. And I was like, 432 00:23:40,040 --> 00:23:42,399 Speaker 1: that's where this thing comes in. You know, at some 433 00:23:42,480 --> 00:23:45,360 Speaker 1: point are we going to punish people forever and ever? 434 00:23:45,640 --> 00:23:48,800 Speaker 1: And look, it is vastly disproportionate with African American men. 435 00:23:48,840 --> 00:23:50,920 Speaker 1: I don't know what the what the overall percentage is 436 00:23:50,960 --> 00:23:52,280 Speaker 1: going to be of that one point for but I'm 437 00:23:52,280 --> 00:23:54,760 Speaker 1: going to tell you it's probably close to six. So 438 00:23:54,840 --> 00:23:58,160 Speaker 1: let's talk a little bit about voter suppression. There were 439 00:23:58,200 --> 00:24:01,520 Speaker 1: all sorts of questions about vote suppression. I had no 440 00:24:01,600 --> 00:24:04,320 Speaker 1: idea it was so prevalent in Texas. I read a 441 00:24:04,320 --> 00:24:07,159 Speaker 1: big article I it was in the Atlantic. But we 442 00:24:07,240 --> 00:24:11,240 Speaker 1: have to talk about Georgia. What what took place in Georgia? Uh, 443 00:24:11,480 --> 00:24:14,280 Speaker 1: somebody tweeted if this was a foreign country, the U 444 00:24:14,320 --> 00:24:17,399 Speaker 1: s would be found political from the Atlantic. Yeah, I 445 00:24:17,440 --> 00:24:19,520 Speaker 1: will say this. The things that we're coming out of 446 00:24:19,520 --> 00:24:24,680 Speaker 1: Georgia on election night shocked me and and Brian Kemp's 447 00:24:24,720 --> 00:24:26,840 Speaker 1: you know, self interest in the case of I'm going 448 00:24:26,880 --> 00:24:30,159 Speaker 1: to run an enforcement operation to make sure to make 449 00:24:30,160 --> 00:24:32,760 Speaker 1: sure that I win this race. That does strike me 450 00:24:32,800 --> 00:24:35,119 Speaker 1: as as a little smell of the third world around. 451 00:24:36,000 --> 00:24:40,719 Speaker 1: So so is this a viable issue for the Democrats 452 00:24:40,760 --> 00:24:44,159 Speaker 1: to raise broadly, that we should expand voting rights to everything. 453 00:24:44,240 --> 00:24:46,440 Speaker 1: They can raise it, They can raise it, but it's 454 00:24:46,440 --> 00:24:50,480 Speaker 1: not a cutting political issue. It's a boutique issue. And 455 00:24:50,680 --> 00:24:52,399 Speaker 1: what I would do if they were the Democrats is 456 00:24:52,480 --> 00:24:55,640 Speaker 1: make sure that we were they were litigating the hell 457 00:24:55,680 --> 00:25:00,080 Speaker 1: out of it, which they they need to um and 458 00:25:00,119 --> 00:25:02,040 Speaker 1: I would if I were, if I were the Democrats 459 00:25:02,080 --> 00:25:04,320 Speaker 1: in in a lot of these states, I would make 460 00:25:04,320 --> 00:25:07,520 Speaker 1: sure that that they do more voter training and education 461 00:25:08,280 --> 00:25:10,520 Speaker 1: so that people know their rights. I mean people being 462 00:25:10,560 --> 00:25:13,520 Speaker 1: told up, sorry, pulls are closed, now you're standing in line. 463 00:25:13,880 --> 00:25:16,320 Speaker 1: The courts have said time and time and time again 464 00:25:16,600 --> 00:25:19,399 Speaker 1: that once you're at a polling place and you're in line, 465 00:25:19,600 --> 00:25:21,760 Speaker 1: you get to vote. Easy lift. But a lot of 466 00:25:21,760 --> 00:25:24,720 Speaker 1: people don't know that Republicans have been very good at 467 00:25:24,800 --> 00:25:27,200 Speaker 1: educating their voters to get out early, to vote, absentee 468 00:25:27,320 --> 00:25:29,639 Speaker 1: to vote, to do early voting. Democrats need do the 469 00:25:29,680 --> 00:25:31,640 Speaker 1: same thing because it's harder to do it. It's harder 470 00:25:31,680 --> 00:25:34,200 Speaker 1: to spread out a suppression effort over a week or 471 00:25:34,240 --> 00:25:36,360 Speaker 1: two weeks of early voting than it is to do 472 00:25:36,480 --> 00:25:40,280 Speaker 1: shenanigans on election day. We have been speaking with Rick Wilson. 473 00:25:40,359 --> 00:25:43,160 Speaker 1: He is the author of the New York Times best 474 00:25:43,160 --> 00:25:48,120 Speaker 1: selling book Everything Trump Touches Dies. If you enjoy this conversation, 475 00:25:48,200 --> 00:25:50,520 Speaker 1: be sure and check out the podcast extras when we 476 00:25:50,600 --> 00:25:55,400 Speaker 1: keep the tape rolling and continue discussing all things electoral related. 477 00:25:55,880 --> 00:25:59,639 Speaker 1: You can find that wherever you're finding. Podcasts are sold iTunes, 478 00:25:59,720 --> 00:26:03,920 Speaker 1: over cast, Stitcher, or Bloomberg dot com. We love your comments, 479 00:26:03,920 --> 00:26:08,000 Speaker 1: feedback and suggestions right to us at m IB podcast 480 00:26:08,040 --> 00:26:10,679 Speaker 1: at Bloomberg dot net. You can check out my daily 481 00:26:10,720 --> 00:26:14,359 Speaker 1: column on Bloomberg dot com slash Opinion. Follow me on 482 00:26:14,400 --> 00:26:18,480 Speaker 1: Twitter at Ridolts. I'm Barry Ridhults. You're listening to Masters 483 00:26:18,480 --> 00:26:31,080 Speaker 1: in Business on Bloomberg Radio. Welcome to the podcast, Rick, 484 00:26:31,160 --> 00:26:32,520 Speaker 1: Thank you so much for doing this. I have to 485 00:26:32,520 --> 00:26:34,200 Speaker 1: tell you, I'm like two thirds of the way through 486 00:26:34,200 --> 00:26:39,080 Speaker 1: the book and it's really hilarious. You have not only 487 00:26:39,200 --> 00:26:44,000 Speaker 1: a wonderful writing style, but a vicious wit. I'm glad 488 00:26:44,119 --> 00:26:48,639 Speaker 1: I never ran a campaign on the other side of you, because, uh, 489 00:26:49,119 --> 00:26:51,679 Speaker 1: you seem to have the ability to pull out the 490 00:26:52,560 --> 00:26:55,760 Speaker 1: um dagger and not only sticking in but twist it. 491 00:26:56,320 --> 00:26:59,639 Speaker 1: Let's talk about some of the things that you mentioned 492 00:26:59,640 --> 00:27:02,960 Speaker 1: in the book look that I find absolutely fascinating. And 493 00:27:03,000 --> 00:27:08,320 Speaker 1: I have to begin with the Tale of Congratulations. What 494 00:27:08,400 --> 00:27:11,359 Speaker 1: to expect when you're gonna work in the Trump White House? 495 00:27:11,760 --> 00:27:17,080 Speaker 1: A tail in five pieces. It's ironic, But everything I 496 00:27:17,160 --> 00:27:20,520 Speaker 1: read in that list, you can name a dozen people 497 00:27:20,760 --> 00:27:25,359 Speaker 1: must have gone through that. It's pretty brutal. Um. What 498 00:27:25,520 --> 00:27:30,280 Speaker 1: is it about Trump that just basically uses people and 499 00:27:30,280 --> 00:27:33,159 Speaker 1: throws them away? And yet there's still a line of 500 00:27:33,160 --> 00:27:38,119 Speaker 1: people willing to get fed into the more of the machine. Well, 501 00:27:38,280 --> 00:27:40,520 Speaker 1: I'm gonna disagree with you on the last part, but 502 00:27:40,760 --> 00:27:43,960 Speaker 1: I'll look back to that. Trump is a bad manager, 503 00:27:44,640 --> 00:27:47,600 Speaker 1: he's a bad leader, he's a bad person, and he's 504 00:27:47,600 --> 00:27:49,840 Speaker 1: a bad president. How do you really feel I don't know, 505 00:27:49,880 --> 00:27:52,880 Speaker 1: you know, I gotta get to a little bit right. 506 00:27:53,600 --> 00:27:56,000 Speaker 1: But the folks that go to work for this guy, 507 00:27:56,800 --> 00:27:59,680 Speaker 1: I mean, they all get they all get demolished. They 508 00:28:00,040 --> 00:28:02,359 Speaker 1: they are every single person that goes into the White 509 00:28:02,359 --> 00:28:08,520 Speaker 1: House loses their soul, their reputation. That's just a shocking 510 00:28:08,800 --> 00:28:11,480 Speaker 1: you know. There there there are people that everyone thought 511 00:28:11,600 --> 00:28:14,160 Speaker 1: would be fine, Like Nicky Haley, she's gonna be fine, 512 00:28:14,680 --> 00:28:17,960 Speaker 1: she's worn out. She ran away? Who wrote? Who wrote 513 00:28:17,960 --> 00:28:20,560 Speaker 1: the anonymous letter? You have any idea? I have an idea, 514 00:28:20,640 --> 00:28:22,520 Speaker 1: but m you're gonna keep it. I'm gonna keep it 515 00:28:22,520 --> 00:28:25,000 Speaker 1: to myself for now because if if it is so 516 00:28:25,040 --> 00:28:27,320 Speaker 1: I think it is, it's actually somebody who's who's pretty 517 00:28:27,359 --> 00:28:32,360 Speaker 1: senior and uh and and and it's not not completely 518 00:28:32,359 --> 00:28:33,960 Speaker 1: bought in. You don't want to you know what, I 519 00:28:34,240 --> 00:28:36,440 Speaker 1: don't want to out them. Yeah, but I will say 520 00:28:36,480 --> 00:28:39,720 Speaker 1: this the story I told there, the what to expect 521 00:28:39,800 --> 00:28:42,640 Speaker 1: when you're working for Trump story. It's a mildly fictionalized 522 00:28:42,720 --> 00:28:45,640 Speaker 1: version of what we've observed over time. And it's also 523 00:28:46,360 --> 00:28:48,680 Speaker 1: something that you know, guys that I knew who had 524 00:28:48,720 --> 00:28:51,160 Speaker 1: done business with him here and in Florida told the 525 00:28:51,160 --> 00:28:53,920 Speaker 1: same story. He's, yeah, who's that going to work for Trump? 526 00:28:53,920 --> 00:28:55,920 Speaker 1: And he promises them you're gonna be a billionaire too, 527 00:28:55,920 --> 00:28:57,600 Speaker 1: and it's gonna be great, and we're all gonna be 528 00:28:57,680 --> 00:29:01,080 Speaker 1: driving Lamborghinis and and they bust their asked for a 529 00:29:01,080 --> 00:29:03,280 Speaker 1: few years, they do that one of these projects for him, 530 00:29:03,320 --> 00:29:07,160 Speaker 1: and then then they get shafted. Right. It's amazing when 531 00:29:07,200 --> 00:29:10,040 Speaker 1: that story came out that there were three thousand pending 532 00:29:10,080 --> 00:29:14,120 Speaker 1: litigations from contractors who want to get paid. I heard. 533 00:29:14,160 --> 00:29:17,120 Speaker 1: I heard a wonderful story of a guy. Um. I 534 00:29:17,160 --> 00:29:20,440 Speaker 1: have a friend who worked in his legal department briefly 535 00:29:20,760 --> 00:29:25,440 Speaker 1: and went back to a farm. Said it's just insane. Um. 536 00:29:25,480 --> 00:29:28,640 Speaker 1: They needed this guy to get a certificate of occupancy 537 00:29:28,760 --> 00:29:32,520 Speaker 1: and he basically said, nope, you consume you could do 538 00:29:32,520 --> 00:29:34,280 Speaker 1: what you want. You will not get a CEO. You 539 00:29:34,280 --> 00:29:37,600 Speaker 1: could shut this whole project down. Every day what you 540 00:29:37,640 --> 00:29:40,600 Speaker 1: only goes up. There's interest and penalties. My advice to 541 00:29:40,640 --> 00:29:43,760 Speaker 1: you is to pay this tomorrow. And other than that guy, 542 00:29:43,760 --> 00:29:45,680 Speaker 1: I don't know anybody who's been in that sort of 543 00:29:45,680 --> 00:29:49,680 Speaker 1: dispute and actually got paid. And yet people continue to 544 00:29:49,720 --> 00:29:52,000 Speaker 1: line up. Although you're gonna push back on that, I 545 00:29:52,000 --> 00:29:54,959 Speaker 1: will push back on that. Because Trump has had so 546 00:29:55,040 --> 00:29:57,720 Speaker 1: much difficulty recruiting people who can walk and chew gum 547 00:29:57,760 --> 00:30:00,600 Speaker 1: at the same time he is surround it himself with 548 00:30:00,640 --> 00:30:04,280 Speaker 1: a subpar, no doubt, group of people, both in the 549 00:30:04,360 --> 00:30:08,640 Speaker 1: cabinet um and inside inside the White House itself. These 550 00:30:08,680 --> 00:30:11,720 Speaker 1: guys are checked out. They are engaged in a constant 551 00:30:11,800 --> 00:30:14,120 Speaker 1: war with each other. All of them hate one another. 552 00:30:14,520 --> 00:30:18,480 Speaker 1: I mean they're constant leaking between Jared Kushner and John Kelly, 553 00:30:18,560 --> 00:30:21,200 Speaker 1: and between Kelly Anne and every other human being on earth, 554 00:30:21,720 --> 00:30:24,720 Speaker 1: and and Sarah Sanders sniping at other people. And these 555 00:30:24,720 --> 00:30:27,520 Speaker 1: guys are all This is the leakiest white House we've 556 00:30:27,520 --> 00:30:30,360 Speaker 1: seen in ages. I have a rule over time that's 557 00:30:30,360 --> 00:30:34,760 Speaker 1: been proven pretty pretty accurate. Good white houses leak on purpose. 558 00:30:35,600 --> 00:30:39,320 Speaker 1: Bad white houses and unhappy white houses leak all the time. 559 00:30:40,000 --> 00:30:42,560 Speaker 1: This white House, this golden age of journalism we're in 560 00:30:42,760 --> 00:30:44,920 Speaker 1: is because everyone in the White House, from the President 561 00:30:45,000 --> 00:30:48,760 Speaker 1: on down, is leaking to dog other people around them. 562 00:30:48,800 --> 00:30:51,080 Speaker 1: It is a I mean, the wave of leaks that 563 00:30:51,120 --> 00:30:54,280 Speaker 1: will come out after this election, of everyone blaming Trump. 564 00:30:55,080 --> 00:30:57,160 Speaker 1: They're gonna be inside the White House and he can't 565 00:30:57,200 --> 00:30:59,960 Speaker 1: He's he doesn't get it. He's blowing this. It's it's 566 00:31:00,400 --> 00:31:02,480 Speaker 1: it's gonna hurt him in if he talks about a 567 00:31:02,520 --> 00:31:05,320 Speaker 1: red wave, which was his big conceit for weeks and 568 00:31:05,320 --> 00:31:07,400 Speaker 1: weeks on end, there'll be a red wave. We're gonna 569 00:31:07,440 --> 00:31:09,560 Speaker 1: gain seats in the House. It's gonna be great. We're 570 00:31:09,560 --> 00:31:11,800 Speaker 1: gonna have the best day ever. I'm the King of 571 00:31:11,800 --> 00:31:15,880 Speaker 1: This didn't quite work out that way. But so all 572 00:31:15,920 --> 00:31:18,160 Speaker 1: these folks inside the White House, they're constantly having their 573 00:31:18,160 --> 00:31:21,280 Speaker 1: egos just ground up. They're constantly forced to go out 574 00:31:21,360 --> 00:31:24,520 Speaker 1: and and adopt public positions that they know our lives, 575 00:31:25,160 --> 00:31:27,760 Speaker 1: that they know are anathema, that they know will end 576 00:31:27,840 --> 00:31:30,880 Speaker 1: up hurting their reputations in the long run. And and 577 00:31:30,960 --> 00:31:34,000 Speaker 1: yet you know, the ones they do, the ones who 578 00:31:34,000 --> 00:31:36,440 Speaker 1: are the ones who were stuck there, are stuck there 579 00:31:36,480 --> 00:31:39,560 Speaker 1: because you wouldn't hire these people to manage a waffle house. 580 00:31:40,200 --> 00:31:46,080 Speaker 1: So you mentioned Jared and Ivanka. What's with the nepotism 581 00:31:46,080 --> 00:31:48,800 Speaker 1: and bringing the family in. It just seems so at 582 00:31:48,840 --> 00:31:53,120 Speaker 1: odds with everything we've learned about how do you ethically 583 00:31:53,240 --> 00:31:58,880 Speaker 1: run a business? But remember, the business of Trump is 584 00:31:58,920 --> 00:32:03,560 Speaker 1: not government or patriotism or loyalty to the country or 585 00:32:03,680 --> 00:32:07,280 Speaker 1: service to the American people. The business of Trump is Trump, 586 00:32:08,240 --> 00:32:12,040 Speaker 1: and he doesn't he skipped that part in the Constitution 587 00:32:12,040 --> 00:32:15,680 Speaker 1: where we don't do titles of royalty, because he seriously 588 00:32:15,720 --> 00:32:19,760 Speaker 1: considers himself to be some sort of you know, uh 589 00:32:20,200 --> 00:32:24,440 Speaker 1: royal figure above the law, above the constitution, and his 590 00:32:24,760 --> 00:32:28,080 Speaker 1: and the royal family idea is something that is clearly 591 00:32:28,080 --> 00:32:31,560 Speaker 1: playing out here. You have his fans who say things like, well, 592 00:32:31,600 --> 00:32:34,480 Speaker 1: after Trump runs, then Don Junior will run, then Ivanka 593 00:32:34,520 --> 00:32:36,560 Speaker 1: will run, and then Eric will run, and then Baron 594 00:32:36,640 --> 00:32:38,560 Speaker 1: will run in the near in the far far future, 595 00:32:38,600 --> 00:32:43,040 Speaker 1: and they can't you know, the cult like devotion to 596 00:32:43,080 --> 00:32:45,960 Speaker 1: this guy is one of the most shocking elements of Trump, 597 00:32:46,040 --> 00:32:50,440 Speaker 1: isn't it is. I mean, look, I love me some, 598 00:32:50,520 --> 00:32:52,760 Speaker 1: George W. R. George H. W. Bush, I love me some. 599 00:32:52,800 --> 00:32:55,920 Speaker 1: George Bush, I love me some. Jeb Bush. Bush family 600 00:32:55,920 --> 00:32:58,360 Speaker 1: has been great to me, and I've been loyal back. 601 00:32:59,720 --> 00:33:02,720 Speaker 1: But you of what if one of them said to me, hey, 602 00:33:02,720 --> 00:33:04,960 Speaker 1: go drink this poison cool aid, I wouldn't do it. 603 00:33:05,320 --> 00:33:07,840 Speaker 1: But Trump could stack people up like jonestown and they 604 00:33:07,840 --> 00:33:11,040 Speaker 1: would do it. The his his line about shoot somebody 605 00:33:11,040 --> 00:33:14,040 Speaker 1: on Fifth Avenue had the disadvantage for our country of 606 00:33:14,040 --> 00:33:17,160 Speaker 1: being entirely true. That that's shocking. Um, Let me shift 607 00:33:17,160 --> 00:33:21,600 Speaker 1: games a little bit and ask you about the unspoken 608 00:33:21,680 --> 00:33:26,560 Speaker 1: elephant in the room. The past month, the Mueller investigation 609 00:33:26,760 --> 00:33:33,880 Speaker 1: continues silently to grind forward. My best guests is, let 610 00:33:33,880 --> 00:33:37,640 Speaker 1: me rephrase that if I had to pick somebody, assuming 611 00:33:37,840 --> 00:33:41,840 Speaker 1: I was running a sort of sketchy business and there 612 00:33:41,880 --> 00:33:45,200 Speaker 1: perhaps might have been some Russian involvement and maybe to 613 00:33:45,360 --> 00:33:47,560 Speaker 1: some money laundering, if I had to pick the one 614 00:33:47,640 --> 00:33:51,440 Speaker 1: guy I didn't want investigating me, it would pretty much 615 00:33:51,440 --> 00:33:55,160 Speaker 1: be Robert Mueller. This guy was built to investigate Trump. 616 00:33:55,960 --> 00:33:59,320 Speaker 1: How does this play out? The last two months, Robert 617 00:33:59,400 --> 00:34:03,880 Speaker 1: Mueller made a very conscious decision to become a hunter submarine. 618 00:34:04,560 --> 00:34:07,920 Speaker 1: He's under the water, he's listening, he's working, he knows 619 00:34:07,920 --> 00:34:10,399 Speaker 1: where the targets are. Just because you don't see him 620 00:34:10,400 --> 00:34:13,000 Speaker 1: doesn't mean he doesn't see you. This is a guy 621 00:34:13,040 --> 00:34:16,960 Speaker 1: with a reputation for being methodical, for being diligent, for 622 00:34:17,080 --> 00:34:20,480 Speaker 1: driving home, for going for getting to the X of 623 00:34:20,600 --> 00:34:25,480 Speaker 1: any operation. And he's got resources both on the intelligent side, 624 00:34:25,800 --> 00:34:29,279 Speaker 1: on the on the financial investigatory side, and on the 625 00:34:29,360 --> 00:34:32,839 Speaker 1: legal side that the clown show around Donald Trump has 626 00:34:32,920 --> 00:34:36,839 Speaker 1: never taken seriously and never understood, and what happened with 627 00:34:36,920 --> 00:34:41,879 Speaker 1: the election. Robert Mueller is protected now that Trump can't 628 00:34:41,920 --> 00:34:45,000 Speaker 1: just idly fire Robert Mueller, and what happens if he does. 629 00:34:46,239 --> 00:34:49,480 Speaker 1: It's the apocalypse politically. I mean this that do you 630 00:34:49,640 --> 00:34:52,960 Speaker 1: end up with the House Oversight Committee hires Robert Muller 631 00:34:53,000 --> 00:34:56,759 Speaker 1: and the investigation. Let's just go ahead. Now, they can 632 00:34:56,800 --> 00:34:59,680 Speaker 1: also ask for Robert Mueller to provide them that report, 633 00:35:00,280 --> 00:35:02,360 Speaker 1: which would not have happened, and you would not have 634 00:35:02,400 --> 00:35:05,439 Speaker 1: happened with Devin Nunyez and and good Latin, those guys 635 00:35:05,480 --> 00:35:06,960 Speaker 1: that would never have happened. It would never seen the 636 00:35:07,000 --> 00:35:10,799 Speaker 1: light of day. There will be political consequences now. And 637 00:35:10,840 --> 00:35:14,240 Speaker 1: there is no defense operation where Nunez or roar Backer 638 00:35:14,480 --> 00:35:16,400 Speaker 1: or Jordan or any of these, any of these guys 639 00:35:17,520 --> 00:35:21,520 Speaker 1: Team Obstruction I call them. There's no further ability for 640 00:35:21,600 --> 00:35:24,439 Speaker 1: them now that they're not chairman, to go out there 641 00:35:24,480 --> 00:35:27,040 Speaker 1: and filibuster on the you know, in these hearings, to 642 00:35:27,160 --> 00:35:29,440 Speaker 1: blast Robert Mueller and to blow up the FBI, and 643 00:35:29,480 --> 00:35:33,120 Speaker 1: to go and attack an assault an investigation, and and 644 00:35:33,200 --> 00:35:35,799 Speaker 1: to look away from the involvement of Russia and trying 645 00:35:35,840 --> 00:35:38,920 Speaker 1: to manipulate our elections. So what's going to happen is 646 00:35:39,520 --> 00:35:45,920 Speaker 1: the shock and awe effect of of further indictments is 647 00:35:45,960 --> 00:35:49,719 Speaker 1: going to cause a sort of accelerating cycle. Trump will 648 00:35:49,719 --> 00:35:51,319 Speaker 1: get more and more crazed by the way. I think 649 00:35:51,400 --> 00:35:54,399 Speaker 1: Jeff Sessions has gone. Within a week, I think he's out. 650 00:35:55,040 --> 00:35:57,160 Speaker 1: Isn't it all I was gonna say normally, isn't the 651 00:35:57,200 --> 00:35:59,920 Speaker 1: second term when when there's a turnover, But you just 652 00:36:00,040 --> 00:36:03,719 Speaker 1: saying post election, he's done, post midm post mid terms. 653 00:36:03,760 --> 00:36:07,600 Speaker 1: I think he's gone because Trump recognizes that the most 654 00:36:07,719 --> 00:36:12,000 Speaker 1: dangerous window of time for him going forward is between 655 00:36:12,080 --> 00:36:15,600 Speaker 1: right now and when the Democrats take power. His actions 656 00:36:15,760 --> 00:36:18,680 Speaker 1: in the next ninety days are going to be very 657 00:36:18,760 --> 00:36:22,200 Speaker 1: very telling, um, and it's gonna be very very dangerous 658 00:36:22,239 --> 00:36:25,239 Speaker 1: for this country in sixty days, excise me so. So 659 00:36:25,360 --> 00:36:30,800 Speaker 1: assume he he asks Sessions to resign. If Session resigns, 660 00:36:30,840 --> 00:36:33,759 Speaker 1: he could do an interim appointment. But if Session says, Nope, 661 00:36:33,760 --> 00:36:37,000 Speaker 1: you've gotta fire me. Oh, he's gonna you know, he's 662 00:36:37,000 --> 00:36:39,759 Speaker 1: gonna have to fire Sessions. But I think Sessions will go. 663 00:36:40,520 --> 00:36:41,920 Speaker 1: I think he will. He will go in the next 664 00:36:41,960 --> 00:36:46,799 Speaker 1: sixty days, before before the Democrats new And I will 665 00:36:46,800 --> 00:36:49,719 Speaker 1: say this also, I know, for I know the White 666 00:36:49,760 --> 00:36:51,920 Speaker 1: House has been shopping for a new a g and 667 00:36:51,960 --> 00:36:55,200 Speaker 1: I know, well you could see Lindsey Graham kissing up 668 00:36:55,480 --> 00:36:59,239 Speaker 1: that slot. Yeah. But I the person that's rumored very 669 00:36:59,239 --> 00:37:01,880 Speaker 1: heavily right now is Ham Bondi, the former Aga Florida 670 00:37:01,960 --> 00:37:04,520 Speaker 1: who who By the way, when you look at the 671 00:37:04,560 --> 00:37:09,000 Speaker 1: Florida foreclosure debacle, correct, it was as corrupt as any 672 00:37:09,080 --> 00:37:13,480 Speaker 1: public official ever. I've spoken to Trump friendly Republicans in 673 00:37:13,480 --> 00:37:16,600 Speaker 1: the Senate who are begging him, do not name her. 674 00:37:17,120 --> 00:37:20,040 Speaker 1: Is she gonna open an amazing she cannot, she cannot 675 00:37:20,160 --> 00:37:23,120 Speaker 1: be confirmed, Do not name her. So if he tries 676 00:37:23,120 --> 00:37:25,279 Speaker 1: to name Pam Bondy as the a G I think 677 00:37:25,280 --> 00:37:28,160 Speaker 1: they're gonna be some there's gonna be some very very 678 00:37:28,160 --> 00:37:32,680 Speaker 1: hard pushback, even from his own side. Um. But but 679 00:37:32,840 --> 00:37:36,080 Speaker 1: the narrow window between now and when the Democrats what's 680 00:37:36,120 --> 00:37:42,040 Speaker 1: the date of that? Um, the narrow window between now 681 00:37:42,080 --> 00:37:44,640 Speaker 1: and then, it's going to be a fact, a very 682 00:37:44,719 --> 00:37:47,399 Speaker 1: risky time. But I think he may buy himself more 683 00:37:47,400 --> 00:37:50,360 Speaker 1: trouble if he does. I mean, the guy's already like 684 00:37:50,640 --> 00:37:54,080 Speaker 1: knocking on the door of obstruction charges every single day. 685 00:37:54,160 --> 00:37:56,080 Speaker 1: So if he tries to play Shenanigans between now in 686 00:37:56,120 --> 00:37:59,200 Speaker 1: the time of Democrats have oversight ability, it's going to 687 00:37:59,280 --> 00:38:02,480 Speaker 1: be a real uh, it's gonna be a really ugly moment. 688 00:38:02,880 --> 00:38:04,400 Speaker 1: And I think one of the things about the Democrats 689 00:38:04,480 --> 00:38:07,759 Speaker 1: taking over that people are underestimating They're not as dumb 690 00:38:07,800 --> 00:38:10,200 Speaker 1: as they look. They're not gonna race the shift is 691 00:38:10,239 --> 00:38:13,080 Speaker 1: pretty They're not They're gonna They're not gonna race to 692 00:38:13,160 --> 00:38:16,360 Speaker 1: impeach Donald Trump. This is the death of a thousand cuts. 693 00:38:16,840 --> 00:38:19,640 Speaker 1: This isn't easy. You know, we're trying to throw the 694 00:38:19,680 --> 00:38:22,560 Speaker 1: president out of office. This is gonna be We need 695 00:38:22,600 --> 00:38:26,080 Speaker 1: your taxes now. We need to talk about your business dealings. 696 00:38:26,080 --> 00:38:28,200 Speaker 1: We need to talk about um, you know, your your 697 00:38:28,239 --> 00:38:31,120 Speaker 1: dealings with Russia and Russian banks and Russian oligarchs. When 698 00:38:31,160 --> 00:38:33,080 Speaker 1: you talk about your meetings with the Russians, we need 699 00:38:33,080 --> 00:38:34,839 Speaker 1: to talk about your communication with them. When you talk 700 00:38:34,840 --> 00:38:37,799 Speaker 1: about Cambridge Analytic and Steve Bannon, the relations. They're gonna 701 00:38:38,120 --> 00:38:41,680 Speaker 1: just peel this thing back, one little, one little strip 702 00:38:41,719 --> 00:38:45,880 Speaker 1: at a time, and it's gonna make Trump crazy. Is 703 00:38:45,920 --> 00:38:48,640 Speaker 1: he dangerous when he's crazy? Is he more dangerous? I 704 00:38:48,640 --> 00:38:51,759 Speaker 1: should say. I think Trump is a danger to the 705 00:38:51,840 --> 00:38:53,759 Speaker 1: rule of law in this country. And I think there 706 00:38:53,800 --> 00:38:57,200 Speaker 1: have been very few checks on him so far. And 707 00:38:57,239 --> 00:39:00,680 Speaker 1: I think he grew accustomed to being unaccountable. And when 708 00:39:00,680 --> 00:39:04,240 Speaker 1: people are accustomed to being unaccountable, they are dangerous. Now, 709 00:39:04,560 --> 00:39:06,880 Speaker 1: you've been on Bill mars show right a couple times, 710 00:39:06,960 --> 00:39:09,560 Speaker 1: and and mar thinks that when it's time for him 711 00:39:09,600 --> 00:39:12,200 Speaker 1: to go, he's not gonna leave. I don't buy into that. 712 00:39:12,640 --> 00:39:16,840 Speaker 1: I think the mechanism of between the secret service in 713 00:39:16,880 --> 00:39:19,160 Speaker 1: the military and the police, it's going to be I 714 00:39:19,200 --> 00:39:21,919 Speaker 1: don't care what you say, Grandpa, here here's the door. 715 00:39:22,520 --> 00:39:25,959 Speaker 1: I could be wrong, but I doubt it. That would 716 00:39:25,960 --> 00:39:28,000 Speaker 1: be a hell of a moment. That would be a 717 00:39:28,000 --> 00:39:30,640 Speaker 1: hell of a constitutional test in this country, the most 718 00:39:30,800 --> 00:39:36,600 Speaker 1: severe constitutional test we've had since Nixon. And and it 719 00:39:36,719 --> 00:39:42,600 Speaker 1: is a real question about whether Trump um look hypothesized 720 00:39:42,600 --> 00:39:45,479 Speaker 1: that he's impeached for whatever purposes we have. They find 721 00:39:45,560 --> 00:39:47,480 Speaker 1: video of a Putin giving him a sack of money, 722 00:39:47,520 --> 00:39:52,440 Speaker 1: and you know, let's just hypothesize he gets impeached. It 723 00:39:52,560 --> 00:39:54,200 Speaker 1: is gonna be tough to drag him out of that 724 00:39:54,480 --> 00:39:56,279 Speaker 1: out of that room. I think Bill is right about that, 725 00:39:56,600 --> 00:39:58,520 Speaker 1: But I think at the end, but he'll be impeached, 726 00:39:58,520 --> 00:40:02,040 Speaker 1: not convicted, and so why bother correct he In the end, 727 00:40:02,320 --> 00:40:05,279 Speaker 1: the impeachment thing has always been a unicorn for Democrats. Okay, 728 00:40:05,360 --> 00:40:07,359 Speaker 1: let's suppose they impeach them in the House. They could 729 00:40:07,360 --> 00:40:09,759 Speaker 1: do it tomorrow. So what you know they could do it? 730 00:40:10,160 --> 00:40:11,800 Speaker 1: You got how you get to two thirds of the Senate, 731 00:40:12,239 --> 00:40:16,520 Speaker 1: don't You don't even get the Senate. So why alienate 732 00:40:16,600 --> 00:40:18,520 Speaker 1: the people? That's why I think they're going to go 733 00:40:18,640 --> 00:40:22,439 Speaker 1: and investigate and tear things over slowly, and it's gonna 734 00:40:22,520 --> 00:40:28,120 Speaker 1: look is an administration that is lavishly corrupt. Lavishly corrupt 735 00:40:28,960 --> 00:40:32,040 Speaker 1: they are, they are you know, they are so overt 736 00:40:32,120 --> 00:40:35,200 Speaker 1: about it. We look like the cold guys. They basically 737 00:40:35,200 --> 00:40:38,000 Speaker 1: took a shopping list to the White House with prices 738 00:40:38,040 --> 00:40:39,640 Speaker 1: next to the things they wanted. Oh, well, you get 739 00:40:39,680 --> 00:40:41,279 Speaker 1: a million dollars if you if you take care of 740 00:40:41,280 --> 00:40:44,000 Speaker 1: this regulation, and we'll give it. We'll give the Inaugural 741 00:40:44,000 --> 00:40:46,840 Speaker 1: Committee half a million if you'll do this for this company. 742 00:40:47,120 --> 00:40:52,239 Speaker 1: These guys, it's just they aren't even pretending. And so 743 00:40:52,480 --> 00:40:54,600 Speaker 1: and what about the amalience clause. That's got to be 744 00:40:54,640 --> 00:40:56,759 Speaker 1: an issue that comes out. It should be an issue 745 00:40:56,800 --> 00:40:58,359 Speaker 1: that comes up, and it will be I think, and 746 00:40:58,400 --> 00:41:00,560 Speaker 1: that as I think, by the way, one of the 747 00:41:00,640 --> 00:41:05,319 Speaker 1: venues where Donald Trump's tax has become revealed because how 748 00:41:05,360 --> 00:41:07,319 Speaker 1: do you know, We've got to have an answer on that, 749 00:41:07,960 --> 00:41:09,720 Speaker 1: and the only way we can really get that answer 750 00:41:09,960 --> 00:41:13,080 Speaker 1: because you know, Donald Trump's financial statements are always sort 751 00:41:13,080 --> 00:41:16,160 Speaker 1: of mythical creatures. You know, it's it's man, bear, pig, 752 00:41:16,640 --> 00:41:19,279 Speaker 1: it's whatever he thinks up at that moment. I'm worth 753 00:41:19,440 --> 00:41:22,160 Speaker 1: ten billion dollars because I believe my brand is worth 754 00:41:22,200 --> 00:41:26,840 Speaker 1: seven billion, okay, eight billion, in goodwill do brand equity 755 00:41:26,920 --> 00:41:30,480 Speaker 1: is different than what you think it is, Donald um. 756 00:41:30,520 --> 00:41:34,040 Speaker 1: But you know, so I think the emolument stuff where 757 00:41:34,080 --> 00:41:38,200 Speaker 1: this guy is obviously profiting off of lobbyists. And look, 758 00:41:38,239 --> 00:41:40,880 Speaker 1: I know of tunnel obbyists in d C, their friends 759 00:41:40,920 --> 00:41:44,920 Speaker 1: and foreign countries going to the trumpels, and they now 760 00:41:44,960 --> 00:41:47,200 Speaker 1: go to the Trump hotel to have all of their 761 00:41:47,200 --> 00:41:50,120 Speaker 1: meetings and all of their events, and they pay a 762 00:41:50,200 --> 00:41:57,280 Speaker 1: gigantic premium, a gigantic premium across the street at the Willard, 763 00:41:57,480 --> 00:42:01,120 Speaker 1: which is not exactly the Motel six. Everything in d 764 00:42:01,160 --> 00:42:03,120 Speaker 1: C now has to go through the Trump properties. And 765 00:42:03,160 --> 00:42:08,080 Speaker 1: so that's it's like such small, crappy grift, but it's grift. 766 00:42:08,160 --> 00:42:10,360 Speaker 1: I mean, it's just are they gonna have to disgorge 767 00:42:10,400 --> 00:42:13,279 Speaker 1: those profits I don't have to disgorge them, but I 768 00:42:13,280 --> 00:42:15,399 Speaker 1: think they have to disclose them. And I think that's 769 00:42:15,440 --> 00:42:18,120 Speaker 1: why you get to the taxes under a monument. That's amazing. 770 00:42:18,480 --> 00:42:20,520 Speaker 1: I know I don't have you forever, So let me 771 00:42:20,520 --> 00:42:23,560 Speaker 1: get to my favorite questions and our speed round. Let's 772 00:42:23,560 --> 00:42:26,280 Speaker 1: plow through this. Let's do it. What's the most important 773 00:42:26,280 --> 00:42:30,279 Speaker 1: thing People don't know about Rick Wilson. They don't know 774 00:42:30,400 --> 00:42:33,960 Speaker 1: that I am a hell of a cook. Quite fascinating. 775 00:42:34,120 --> 00:42:36,840 Speaker 1: Who are some of your early mentors? Some of my 776 00:42:36,880 --> 00:42:41,360 Speaker 1: early mentors, Um, Well, this guy named Dick Cheney. Uh really, 777 00:42:41,360 --> 00:42:43,080 Speaker 1: he was the Secretary of Defense. I mean you you 778 00:42:43,239 --> 00:42:47,160 Speaker 1: learned from Vice President well and Vice president later. Um. 779 00:42:47,520 --> 00:42:49,160 Speaker 1: There was a guy that I also worked with a 780 00:42:49,200 --> 00:42:50,920 Speaker 1: lot named Donald Rice. He was the Secretary of the 781 00:42:50,960 --> 00:42:54,200 Speaker 1: Air Force. One of the most brilliant, considered policy guys 782 00:42:54,200 --> 00:42:58,000 Speaker 1: I ever met in my career. Um And and I've 783 00:42:58,000 --> 00:43:00,000 Speaker 1: been I've been very fortunate over the years to learn 784 00:43:00,040 --> 00:43:02,600 Speaker 1: from great people in New York. Ray Harding, who was 785 00:43:02,640 --> 00:43:04,279 Speaker 1: the chairman of the New York Liberal Party, which is 786 00:43:04,360 --> 00:43:06,560 Speaker 1: very used to say it's neither liberal nor a party, 787 00:43:06,560 --> 00:43:09,440 Speaker 1: it's my political machine. Ray taught me more about New 788 00:43:09,480 --> 00:43:11,760 Speaker 1: York politics than any human being on earth. But I've 789 00:43:11,840 --> 00:43:14,040 Speaker 1: been very fortunate over the years. Since you're here discussing 790 00:43:14,080 --> 00:43:16,000 Speaker 1: your book, let's talk about books. What are some of 791 00:43:16,080 --> 00:43:20,320 Speaker 1: your favorite books, be they politics or what have you. Well, um, 792 00:43:20,440 --> 00:43:23,560 Speaker 1: I'm gonna say my one of my favorite books, um 793 00:43:23,719 --> 00:43:27,080 Speaker 1: is Cryptonomicon by Neil Stephenson. Sure, which is about money 794 00:43:27,200 --> 00:43:31,319 Speaker 1: and encryption and war. I'm I'm I'm a big fan 795 00:43:31,360 --> 00:43:35,000 Speaker 1: of overly complicated stuff like that. Um. Um. It was 796 00:43:35,000 --> 00:43:37,440 Speaker 1: a classically educated guy, so I read a lot of 797 00:43:37,480 --> 00:43:40,080 Speaker 1: I read a lot of ancient history. UM. Give us 798 00:43:40,080 --> 00:43:45,160 Speaker 1: a name. Well, Livy and and Plutarch and Tacitus. So 799 00:43:45,239 --> 00:43:48,960 Speaker 1: you're talking about real classic yeah, yes, like actual um, 800 00:43:49,000 --> 00:43:51,839 Speaker 1: but for modern version, modern interpretation that Michael Grant's very 801 00:43:51,840 --> 00:43:55,319 Speaker 1: good about a lot of that stuff. Um. I read voraciously. 802 00:43:55,640 --> 00:43:58,719 Speaker 1: So my my house is way too fold books. So 803 00:43:58,920 --> 00:44:03,200 Speaker 1: there are worse things to have filling up your house. UM. 804 00:44:03,239 --> 00:44:05,399 Speaker 1: So what are you excited about right now? What? What? 805 00:44:05,560 --> 00:44:07,680 Speaker 1: And I know that's a silly question because I know 806 00:44:07,719 --> 00:44:11,560 Speaker 1: what you're excited about. I'm excited about the fact that 807 00:44:12,280 --> 00:44:17,239 Speaker 1: America is under a big stress test right now, and 808 00:44:17,239 --> 00:44:21,040 Speaker 1: and I'm excited to watch how our resilience plays itself 809 00:44:21,040 --> 00:44:24,720 Speaker 1: out this time. I am really fundamentally optimistic about the country. 810 00:44:24,880 --> 00:44:27,680 Speaker 1: I think Trump is a terrible, destructive, horrible figure in 811 00:44:27,680 --> 00:44:30,640 Speaker 1: our in our politics and our society. But I also 812 00:44:30,680 --> 00:44:34,040 Speaker 1: think that there have been our immune system. It takes 813 00:44:34,040 --> 00:44:36,319 Speaker 1: a while to kick in sometimes, but it always does 814 00:44:36,320 --> 00:44:40,240 Speaker 1: in the end. And I feel that starting to reshape 815 00:44:40,239 --> 00:44:42,560 Speaker 1: where we're going politically in the country. And I'm also 816 00:44:42,600 --> 00:44:47,320 Speaker 1: excited about the sort of you know, modern elements of 817 00:44:47,320 --> 00:44:49,759 Speaker 1: of you know, the bad sides of social media we've 818 00:44:49,760 --> 00:44:52,040 Speaker 1: seen now, but I think it's also providing this new 819 00:44:52,120 --> 00:44:54,840 Speaker 1: organizing tool and and and and this new way of 820 00:44:55,200 --> 00:44:59,160 Speaker 1: for people to remediate themselves into effective political groups. So 821 00:44:59,400 --> 00:45:01,600 Speaker 1: tell us about time you failed and what you learned 822 00:45:01,600 --> 00:45:06,040 Speaker 1: from the experience. Sure, it failed in I did everything 823 00:45:06,080 --> 00:45:08,000 Speaker 1: I could to stop Donald Trump. I helped run Evan 824 00:45:08,080 --> 00:45:12,880 Speaker 1: McMullen's presidential campaign as an independent. We absolutely crashed and burned. 825 00:45:13,200 --> 00:45:15,920 Speaker 1: It was horrifying. What I learned was the two party 826 00:45:15,960 --> 00:45:19,640 Speaker 1: system is really strong, that tribal affinity is really strong, 827 00:45:20,000 --> 00:45:22,360 Speaker 1: and you have to bring a real a game to 828 00:45:22,400 --> 00:45:26,360 Speaker 1: those things to to break that mold. And and you know, 829 00:45:26,400 --> 00:45:28,120 Speaker 1: you learn more from the campaigns you lose in the 830 00:45:28,120 --> 00:45:31,080 Speaker 1: campaigns you win. Isn't it always that way? Always always 831 00:45:31,440 --> 00:45:33,440 Speaker 1: learn from failure. What do you do for fun? You 832 00:45:33,440 --> 00:45:37,239 Speaker 1: mentioned cooking? What else? Hunt? I fly? I like to 833 00:45:37,239 --> 00:45:40,920 Speaker 1: be out on the water, pilots in pilots license, Um 834 00:45:41,160 --> 00:45:44,480 Speaker 1: what do you fly? Piper archer? So this a little thing, 835 00:45:45,000 --> 00:45:47,799 Speaker 1: but um I I I get out as much as 836 00:45:47,800 --> 00:45:49,680 Speaker 1: I can on the water, which I love. I love 837 00:45:49,719 --> 00:45:52,239 Speaker 1: my I've got a bunch of hunting dogs, German short 838 00:45:52,280 --> 00:45:56,839 Speaker 1: hair pointers and uh and and luckily, since I live 839 00:45:56,880 --> 00:45:59,279 Speaker 1: in Florida, I love the chainsaw things because we have 840 00:45:59,280 --> 00:46:01,080 Speaker 1: a lot of trees down after the big storms lately, 841 00:46:01,239 --> 00:46:04,239 Speaker 1: so we came very close to getting a griff on 842 00:46:04,480 --> 00:46:09,080 Speaker 1: German short haired. Uh. They're just spectacular. Juran short hairs 843 00:46:09,080 --> 00:46:11,520 Speaker 1: are an amazing They're great hunting dogs in the field. 844 00:46:11,520 --> 00:46:13,919 Speaker 1: They're great family dogs at all. Just have to run them. 845 00:46:14,280 --> 00:46:16,200 Speaker 1: You do have to run them. I have a Portuguese 846 00:46:16,239 --> 00:46:19,200 Speaker 1: word dog love them in the pool, out on the 847 00:46:19,200 --> 00:46:22,799 Speaker 1: boat constantly. Um. All right, So a millennial comes up 848 00:46:22,840 --> 00:46:25,640 Speaker 1: to you and says, I'm interested in a career in 849 00:46:26,440 --> 00:46:30,200 Speaker 1: political consulting. What sort of advice would you give them? Um? 850 00:46:30,239 --> 00:46:32,160 Speaker 1: The first advice I would give them is go volunteer 851 00:46:32,160 --> 00:46:35,560 Speaker 1: on a campaign, to do the crappiest job you can find. Drive. 852 00:46:36,200 --> 00:46:38,839 Speaker 1: You know, I started out with Connie Mack as a 853 00:46:38,840 --> 00:46:41,520 Speaker 1: as an advanced kid, as a driver. That was how 854 00:46:41,560 --> 00:46:44,880 Speaker 1: I started in this thing. I ended up meeting and 855 00:46:44,920 --> 00:46:47,920 Speaker 1: getting to work for the president of the future president 856 00:46:47,960 --> 00:46:51,640 Speaker 1: of the United States because I had hustle and you know, 857 00:46:51,719 --> 00:46:53,360 Speaker 1: being willing to go out and do the and do 858 00:46:53,440 --> 00:46:55,920 Speaker 1: the scut work and the crap jobs and the stuff 859 00:46:55,920 --> 00:46:58,040 Speaker 1: that you don't you know, they get this sort of 860 00:46:58,040 --> 00:47:01,040 Speaker 1: wrong impression from watching television where there's these twenty four 861 00:47:01,080 --> 00:47:03,840 Speaker 1: year olds in perfect suits in the White House being, 862 00:47:03,880 --> 00:47:07,800 Speaker 1: you know, senior officials. You gotta go do the hard work. 863 00:47:07,960 --> 00:47:09,719 Speaker 1: And politics is one of those few things in this 864 00:47:09,800 --> 00:47:11,960 Speaker 1: country where it doesn't matter where you went to school. 865 00:47:12,520 --> 00:47:14,240 Speaker 1: You've got to go out and be in the field 866 00:47:14,280 --> 00:47:16,319 Speaker 1: and bust your tail, and you've got to go do 867 00:47:16,400 --> 00:47:18,560 Speaker 1: the things that you put up the stupid yard signs 868 00:47:18,640 --> 00:47:22,040 Speaker 1: and go deal with the with the cranky volunteers and 869 00:47:22,080 --> 00:47:25,200 Speaker 1: go knock the doors. You don't get into this, into 870 00:47:25,200 --> 00:47:28,560 Speaker 1: this tribe of consulting unless you go and do those 871 00:47:28,560 --> 00:47:32,719 Speaker 1: things and and it's all. It's it's there's no shortcut 872 00:47:32,960 --> 00:47:36,239 Speaker 1: to it makes sense. And our final question, what do 873 00:47:36,280 --> 00:47:38,680 Speaker 1: you know about the world of politics today? You wish 874 00:47:38,719 --> 00:47:41,960 Speaker 1: you knew thirty or so years ago. People lie upholsters 875 00:47:42,000 --> 00:47:45,839 Speaker 1: all the time? Really, yes, that they lie upholsters all 876 00:47:45,840 --> 00:47:48,319 Speaker 1: the time. That is not well understood by a lot 877 00:47:48,360 --> 00:47:50,480 Speaker 1: of fun though, And it's it's clearer and clearer all 878 00:47:50,480 --> 00:47:54,200 Speaker 1: the time. How much they're a bunch of damn liars. Amazing. 879 00:47:54,280 --> 00:47:56,640 Speaker 1: I love it. I love I love trying to like 880 00:47:56,840 --> 00:47:59,360 Speaker 1: get to the nut of a question with with polling. 881 00:47:59,680 --> 00:48:01,960 Speaker 1: But you've got a dispactor that in these days quite 882 00:48:02,040 --> 00:48:06,200 Speaker 1: quite astonishing. We have been speaking with Rick Wilson. He 883 00:48:06,400 --> 00:48:10,040 Speaker 1: is the author of the New York Times bestseller Everything 884 00:48:10,080 --> 00:48:13,680 Speaker 1: Trump Touches Dies. If you enjoy this conversation, well look 885 00:48:13,719 --> 00:48:16,000 Speaker 1: up an inch or down an inch on Apple iTunes 886 00:48:16,040 --> 00:48:18,920 Speaker 1: and you could see any of our other Let's uh 887 00:48:19,040 --> 00:48:23,480 Speaker 1: round it up to the size of Trump's inaugural address 888 00:48:23,520 --> 00:48:27,000 Speaker 1: and call it two d and fifty previous conversations over 889 00:48:27,040 --> 00:48:30,560 Speaker 1: the past five years. We love your comments, feedback and 890 00:48:30,680 --> 00:48:34,800 Speaker 1: suggestions right to us at m IB podcast at Bloomberg 891 00:48:34,880 --> 00:48:37,480 Speaker 1: dot net. You can check out my daily column on 892 00:48:37,520 --> 00:48:40,840 Speaker 1: Bloomberg dot Com. Follow me on Twitter at rit Halts. 893 00:48:40,880 --> 00:48:43,200 Speaker 1: I would be remiss if I did not thank the 894 00:48:43,239 --> 00:48:46,200 Speaker 1: crack staff that helps put these conversations together each week. 895 00:48:46,640 --> 00:48:50,239 Speaker 1: Michael Batnick is my head of research. Taylor Riggs is 896 00:48:50,280 --> 00:48:53,759 Speaker 1: our book or Slash producer. I'm Barry rit Halts. You've 897 00:48:53,800 --> 00:48:56,960 Speaker 1: been listening to Masters in Business on Bloomberg Radio.