1 00:00:00,680 --> 00:00:04,200 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,400 --> 00:00:07,160 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,200 --> 00:00:09,000 Speaker 1: today's best minds. 4 00:00:08,920 --> 00:00:11,760 Speaker 2: And Donald Trump told Vegas rally goers, I don't care 5 00:00:11,840 --> 00:00:14,560 Speaker 2: about you. I just want your vote. We have such 6 00:00:14,600 --> 00:00:16,800 Speaker 2: a great show for you today. Pro Public is Justin 7 00:00:16,840 --> 00:00:19,920 Speaker 2: Elliot stops by to tell us about the absolutely shocking 8 00:00:19,960 --> 00:00:23,320 Speaker 2: news that Donald Trump's campaign has bumped up the salaries 9 00:00:23,360 --> 00:00:25,800 Speaker 2: for employees where witnesses in his trials. 10 00:00:26,000 --> 00:00:26,720 Speaker 3: That we'll talk to. 11 00:00:26,720 --> 00:00:29,640 Speaker 2: Jeff Goodell about his new book, The Heat Will Kill 12 00:00:29,680 --> 00:00:32,479 Speaker 2: You First, Life and Death on a Scorched Planet. But 13 00:00:32,840 --> 00:00:35,479 Speaker 2: first we have the host of the Enemy's List, the 14 00:00:35,520 --> 00:00:37,920 Speaker 2: Lincoln Project's own Rick Wilson. 15 00:00:38,159 --> 00:00:44,000 Speaker 1: But we're here now, that's right, Welcome back, Rick Wilson. 16 00:00:44,040 --> 00:00:46,600 Speaker 4: Lully, John Fast delighted as always to join you. 17 00:00:47,000 --> 00:00:49,920 Speaker 1: We check in every week so we can chart each 18 00:00:50,040 --> 00:00:56,760 Speaker 1: other's dysfunction and also this political craziness. Sure, explain to 19 00:00:56,800 --> 00:01:01,000 Speaker 1: me what you think happened this week? There was this 20 00:01:01,400 --> 00:01:06,880 Speaker 1: guilty verdict. I actually think it's more meaningful than the 21 00:01:06,959 --> 00:01:10,520 Speaker 1: polls show because there's so much pulling that shows people 22 00:01:10,560 --> 00:01:12,759 Speaker 1: believe it to be just and true. 23 00:01:12,959 --> 00:01:14,280 Speaker 3: It is a real thing. 24 00:01:14,440 --> 00:01:17,800 Speaker 4: Yeah, people should not be living in this fantasy world 25 00:01:17,800 --> 00:01:20,759 Speaker 4: that this didn't happen. It happened, and it's actually meaningful. 26 00:01:21,040 --> 00:01:24,119 Speaker 4: I can tell you we have come out of some 27 00:01:24,160 --> 00:01:27,240 Speaker 4: focus groups this week that we're gonna release some data 28 00:01:27,240 --> 00:01:29,920 Speaker 4: on shortly. I gotta tell you, I know why Trump 29 00:01:30,000 --> 00:01:32,240 Speaker 4: is so it's banging off the walls. I know why 30 00:01:32,280 --> 00:01:35,280 Speaker 4: Trump is bouncing off the damn the damn ceiling. His 31 00:01:35,400 --> 00:01:38,759 Speaker 4: people are not stupid, and they recognize this is much 32 00:01:38,760 --> 00:01:41,000 Speaker 4: worse than they think. The biggest group of people that 33 00:01:41,040 --> 00:01:43,479 Speaker 4: needs to hear this are mainstream media folks. 34 00:01:43,560 --> 00:01:45,479 Speaker 3: Yeah, who think, oh, it's all baked to a cake. 35 00:01:45,560 --> 00:01:47,640 Speaker 3: Everybody knows that about Trump. Uh huh. 36 00:01:47,880 --> 00:01:51,360 Speaker 4: This is much much, much, much much more consequential. People 37 00:01:51,440 --> 00:01:53,200 Speaker 4: do not understand how bad. 38 00:01:53,000 --> 00:01:53,680 Speaker 3: This is for him. 39 00:01:53,920 --> 00:01:55,880 Speaker 1: So can you explain. 40 00:01:55,760 --> 00:01:59,400 Speaker 4: Women, independents, they are coming out of these we're seeing 41 00:01:59,440 --> 00:02:01,920 Speaker 4: it out of the numbers that they believe the case 42 00:02:02,000 --> 00:02:05,400 Speaker 4: was justly decided. They don't believe any of the conspiracy garbage. 43 00:02:05,640 --> 00:02:10,160 Speaker 1: Right, and now we see broadly in polls it's like abortion. 44 00:02:10,400 --> 00:02:14,400 Speaker 1: People believe this case was rightly decided, that he definitely 45 00:02:14,440 --> 00:02:18,239 Speaker 1: did something corrupt, and also that women should have rights 46 00:02:18,240 --> 00:02:19,919 Speaker 1: of their own bodily autonomy. 47 00:02:20,160 --> 00:02:20,520 Speaker 3: Yeah. 48 00:02:20,560 --> 00:02:24,160 Speaker 4: And by the way, that continues to be an interesting buzz. 49 00:02:24,280 --> 00:02:28,520 Speaker 4: Underneath all of the materials that we're seeing, there is 50 00:02:28,560 --> 00:02:32,480 Speaker 4: a sense and a feeling that the noise he's tried 51 00:02:32,520 --> 00:02:34,640 Speaker 4: to make around all this is actually making it a 52 00:02:34,639 --> 00:02:38,320 Speaker 4: little bit worse, if that makes sense, that his method 53 00:02:38,360 --> 00:02:43,080 Speaker 4: of defending himself has made it more credible that he 54 00:02:43,160 --> 00:02:46,160 Speaker 4: did everything that the jury determined that he did. And 55 00:02:46,320 --> 00:02:48,280 Speaker 4: two other points of this this popped up in some 56 00:02:48,320 --> 00:02:50,959 Speaker 4: of the research. As I said, I didn't expect this, 57 00:02:51,440 --> 00:02:53,280 Speaker 4: but these are two good points in both of which 58 00:02:53,280 --> 00:02:56,600 Speaker 4: I found sort of interestingly optimistic. The way he behaved 59 00:02:56,600 --> 00:02:59,880 Speaker 4: towards Stormy Daniels in the court actually penetrated with the 60 00:03:00,080 --> 00:03:02,520 Speaker 4: lot of voters, which you would have never had me 61 00:03:02,560 --> 00:03:04,800 Speaker 4: say that unless I've seen the data just now. But 62 00:03:05,200 --> 00:03:09,760 Speaker 4: they reflected that. In how Trump treats women overall, Egene, Carol, 63 00:03:10,080 --> 00:03:12,960 Speaker 4: Stormy grab them by the pussy. All these things are 64 00:03:13,080 --> 00:03:17,480 Speaker 4: a consolidated view of Trump. They play into what people 65 00:03:17,639 --> 00:03:22,119 Speaker 4: believe Donald Trump is and does, and so that piece 66 00:03:22,120 --> 00:03:24,760 Speaker 4: of data. Also, I'm just going to declare this right 67 00:03:24,760 --> 00:03:28,480 Speaker 4: here and now, the assertion that Donald Trump has flipped 68 00:03:28,520 --> 00:03:33,120 Speaker 4: black voters completely is profoundly ft from what we've just 69 00:03:33,120 --> 00:03:36,680 Speaker 4: seen in several swing states. It's not just wrong, it's 70 00:03:36,720 --> 00:03:41,080 Speaker 4: not just academically wrong. It's profoundly wrong. Trump's going to 71 00:03:41,160 --> 00:03:44,080 Speaker 4: get the same basic numbers that any Republican gets of 72 00:03:44,120 --> 00:03:45,720 Speaker 4: black voters in the end of the day, seven to 73 00:03:45,760 --> 00:03:46,320 Speaker 4: eight percent. 74 00:03:46,440 --> 00:03:48,760 Speaker 3: That's it. Now, does that mean the Biden campaign shouldn't 75 00:03:48,760 --> 00:03:50,920 Speaker 3: be out there? They can assauce, Yeah. 76 00:03:50,680 --> 00:03:53,480 Speaker 4: They need to do it every day, but the panic 77 00:03:53,520 --> 00:03:57,920 Speaker 4: attack needs to stop about that, and confidence in that 78 00:03:58,160 --> 00:03:59,200 Speaker 4: would help a lot. 79 00:03:59,680 --> 00:04:03,720 Speaker 1: One of the things that happened this week was that 80 00:04:04,160 --> 00:04:05,640 Speaker 1: Byron Donald's. 81 00:04:05,440 --> 00:04:09,080 Speaker 4: Oh yeah, Jim Crow, Byron was not that bad. 82 00:04:09,240 --> 00:04:13,560 Speaker 1: It kept American families together. I mean, that's like Hitler 83 00:04:13,640 --> 00:04:15,200 Speaker 1: had some good ideas. 84 00:04:15,480 --> 00:04:19,039 Speaker 4: That is exactly like Hitler had some good ideas. It 85 00:04:19,200 --> 00:04:21,719 Speaker 4: is absolute fucking lunacy. 86 00:04:21,920 --> 00:04:24,760 Speaker 1: It's so wrong. I was sort of shocked when I 87 00:04:24,800 --> 00:04:25,200 Speaker 1: heard it. 88 00:04:25,480 --> 00:04:29,080 Speaker 4: Listen a lot of people that have tried to make 89 00:04:29,080 --> 00:04:34,320 Speaker 4: Byron Donalds the new Fetch and fetch happening for Byron Donalds. 90 00:04:34,800 --> 00:04:37,400 Speaker 4: Fetch is not happening for Byron Donald's. This is a 91 00:04:37,480 --> 00:04:41,080 Speaker 4: guy who went from a kind of a hot property 92 00:04:41,400 --> 00:04:43,880 Speaker 4: to people thinking, is he high on his own supply? 93 00:04:44,400 --> 00:04:46,960 Speaker 4: This was a bad day for them. I mean, they 94 00:04:46,960 --> 00:04:50,640 Speaker 4: shouldn't pretend that Byron Donald's quote unquote owned the libs 95 00:04:50,720 --> 00:04:53,599 Speaker 4: or won something on Fox News. This was a real 96 00:04:53,680 --> 00:04:55,839 Speaker 4: screw up. This was ugly and stupid. 97 00:04:56,400 --> 00:04:59,080 Speaker 1: Do you think that, when you were just talking before 98 00:04:59,120 --> 00:05:03,200 Speaker 1: about this idea that Trump is actually hurting himself with 99 00:05:03,400 --> 00:05:06,960 Speaker 1: this verdict and the way he's behaving after it. Do 100 00:05:07,000 --> 00:05:10,840 Speaker 1: you think that some of that is this idea that 101 00:05:10,920 --> 00:05:13,279 Speaker 1: when you do something bad and you're like own those 102 00:05:13,360 --> 00:05:16,040 Speaker 1: libs are owned, that you're actually making it worse. 103 00:05:16,320 --> 00:05:19,000 Speaker 4: I think a lot of the time, the idea of 104 00:05:19,120 --> 00:05:23,520 Speaker 4: quote unquote owning the libs, the idea of being transgressive 105 00:05:23,560 --> 00:05:27,159 Speaker 4: for the sake of transgression, is it gets tired in 106 00:05:27,200 --> 00:05:29,640 Speaker 4: the end. It gets boring in the end, and a 107 00:05:29,680 --> 00:05:34,240 Speaker 4: lot of people like the showmanship of the lib owning world. 108 00:05:34,520 --> 00:05:38,400 Speaker 4: At some point it just loses its juice, It loses 109 00:05:38,440 --> 00:05:43,120 Speaker 4: its desirability of the amount of emotional investment people want 110 00:05:43,120 --> 00:05:44,240 Speaker 4: to put into it anymore. 111 00:05:44,400 --> 00:05:50,080 Speaker 1: Trump did announce eight potential VP candidates. He put Ben 112 00:05:50,160 --> 00:05:51,159 Speaker 1: Carson on there. 113 00:05:51,560 --> 00:05:53,320 Speaker 4: I just want to say to all of your listeners, 114 00:05:53,600 --> 00:05:56,080 Speaker 4: Molly all the folks out there that tune into us 115 00:05:56,279 --> 00:06:00,240 Speaker 4: every week for our moment of glory. Yes, that list 116 00:06:00,480 --> 00:06:01,440 Speaker 4: with some horseshit. 117 00:06:01,839 --> 00:06:04,040 Speaker 1: Oh interesting, say more. 118 00:06:04,200 --> 00:06:08,080 Speaker 4: That list is bullshit, writ large. He is playing the 119 00:06:08,120 --> 00:06:11,159 Speaker 4: apprentice game right now, there's going to be a surprise 120 00:06:11,320 --> 00:06:13,680 Speaker 4: contestant who might get the rows or whatever. 121 00:06:13,720 --> 00:06:14,080 Speaker 3: The fuck? 122 00:06:14,160 --> 00:06:18,680 Speaker 4: I maybe mixing my bullshit reality show metaphors, but that 123 00:06:18,720 --> 00:06:22,360 Speaker 4: list was horseshit interesting. The idea that you're going to 124 00:06:22,480 --> 00:06:24,560 Speaker 4: end up with some of the people on that list 125 00:06:24,800 --> 00:06:29,200 Speaker 4: is beyond ridiculous, beyond absurd. 126 00:06:29,120 --> 00:06:31,440 Speaker 1: Right, But you think he's got someone else that he 127 00:06:31,520 --> 00:06:32,360 Speaker 1: just didn't put him live. 128 00:06:32,440 --> 00:06:34,960 Speaker 4: I think he's got somebody else, or I think he 129 00:06:34,960 --> 00:06:37,919 Speaker 4: looks at that list and says, fuck these idiots. 130 00:06:38,240 --> 00:06:42,520 Speaker 1: See. I think this list is people that he wants 131 00:06:42,560 --> 00:06:43,200 Speaker 1: to help him. 132 00:06:43,400 --> 00:06:45,000 Speaker 3: Yeah, sure, that's definitely part of it. 133 00:06:45,120 --> 00:06:49,159 Speaker 1: Rubio is very helpful to him with Hispanic voters. JD. 134 00:06:49,360 --> 00:06:53,800 Speaker 1: Vance is this sort of intellectual maga though that's oxymoron 135 00:06:54,600 --> 00:06:58,600 Speaker 1: right right, But you know Tim Scott, he thinks maybe 136 00:06:58,600 --> 00:07:01,600 Speaker 1: I get it helps him with five vote, Stephanic will 137 00:07:01,600 --> 00:07:03,120 Speaker 1: do it, will die for him. 138 00:07:03,520 --> 00:07:07,080 Speaker 4: Stephonic would literally if he said, Elise, I need you 139 00:07:07,120 --> 00:07:10,240 Speaker 4: to take your Doug outside and show me your you're 140 00:07:10,280 --> 00:07:12,760 Speaker 4: Christy Nome. I need you to take the dog out 141 00:07:13,000 --> 00:07:16,040 Speaker 4: to the gravel pit and kill it. I need it now, Yeah, 142 00:07:16,080 --> 00:07:17,200 Speaker 4: and she'd do it. 143 00:07:17,560 --> 00:07:20,760 Speaker 1: And Tom Cotton. The one on this list that I 144 00:07:20,800 --> 00:07:23,120 Speaker 1: think is a real possibility is Doug Burgham. 145 00:07:23,480 --> 00:07:27,240 Speaker 4: I think Doug Burgham may well be a possibility. Look, 146 00:07:27,240 --> 00:07:30,520 Speaker 4: I think the broad list is horseship. But Doug Burgham 147 00:07:30,560 --> 00:07:32,920 Speaker 4: is saying things to Donald Trump in the order of 148 00:07:33,360 --> 00:07:36,640 Speaker 4: whatever you need, I will do. And Doug Burgham doesn't 149 00:07:36,680 --> 00:07:38,640 Speaker 4: feel too Trump as risky. 150 00:07:38,880 --> 00:07:42,400 Speaker 1: Jadie Vance could a fallow him, right. 151 00:07:42,800 --> 00:07:46,960 Speaker 4: Jd Vance could rat fuck him a hard and he 152 00:07:47,080 --> 00:07:48,200 Speaker 4: knows that, by the. 153 00:07:48,160 --> 00:07:51,600 Speaker 1: Way, and Rubio too. He wants somebody who is zero. 154 00:07:52,160 --> 00:07:52,520 Speaker 3: Listen. 155 00:07:52,760 --> 00:07:58,120 Speaker 4: I can tell you from direct knowledge, Marco Rubio the 156 00:07:58,320 --> 00:08:01,440 Speaker 4: minute he got into that office would spend every second 157 00:08:01,480 --> 00:08:03,600 Speaker 4: of every day finding a way to fuck Trump. 158 00:08:03,760 --> 00:08:06,239 Speaker 1: Yeah, which would be awesome. That would be the one 159 00:08:06,320 --> 00:08:07,800 Speaker 1: bright spot in the hole. 160 00:08:08,240 --> 00:08:09,080 Speaker 3: It would be great. 161 00:08:09,200 --> 00:08:11,600 Speaker 4: Yeah, But it would also he would he would never 162 00:08:11,640 --> 00:08:17,360 Speaker 4: have absolutely never pick Rubio. Rubio has criticized him, and 163 00:08:17,400 --> 00:08:20,320 Speaker 4: you can't do that in Trump world. That's not allowed. 164 00:08:20,560 --> 00:08:23,120 Speaker 1: Well, also Rubio's from Florida, right, I mean he'd have 165 00:08:23,160 --> 00:08:24,840 Speaker 1: to give up his sentence. 166 00:08:24,480 --> 00:08:27,440 Speaker 4: You right, that somebody would have to move or whatever. 167 00:08:27,680 --> 00:08:31,440 Speaker 4: It's Look, it's a bullshit thing. But I will say 168 00:08:31,800 --> 00:08:36,679 Speaker 4: that Marco is such an absolute snake of all snakes 169 00:08:37,000 --> 00:08:41,040 Speaker 4: that even Trump knows that Mark or Rubio. Think about this, 170 00:08:41,320 --> 00:08:45,480 Speaker 4: Marco Rubio's political mentor. The man who made Marco Rubio's career, 171 00:08:45,760 --> 00:08:47,880 Speaker 4: the guy who put Mark or Rubio in the House 172 00:08:47,880 --> 00:08:50,880 Speaker 4: speakership in Florida, the guy who did everything for Marco 173 00:08:50,960 --> 00:08:53,880 Speaker 4: Rubio that no other politician could do was Jeb Bush, right, 174 00:08:53,920 --> 00:08:56,880 Speaker 4: And Mark or Rubio rat fucked Jeb Bush so hard. 175 00:08:56,920 --> 00:08:59,559 Speaker 4: And Jeb's not a guy that goes out and seeks revenge, right, 176 00:08:59,600 --> 00:09:02,680 Speaker 4: But he would fuck Trump. It's such a millisecond. He 177 00:09:02,720 --> 00:09:05,120 Speaker 4: would be working the phone with the Washington Post and 178 00:09:05,160 --> 00:09:08,120 Speaker 4: the New York Times every day. He'd be calling Maggie 179 00:09:08,160 --> 00:09:10,360 Speaker 4: at two o'clock in the morning instead of Trump calling 180 00:09:10,360 --> 00:09:12,480 Speaker 4: her at one, going hey, listen, I note, Well, he 181 00:09:12,559 --> 00:09:13,760 Speaker 4: must have said something crazy. 182 00:09:14,520 --> 00:09:16,440 Speaker 3: I you know, you should come to me first, right. 183 00:09:16,960 --> 00:09:20,080 Speaker 4: I just know this fucking guy, and he will he 184 00:09:20,160 --> 00:09:25,439 Speaker 4: will absolutely rat fuck them to death. 185 00:09:25,880 --> 00:09:28,960 Speaker 1: Yes, that seems very likely. But you know what, Trump 186 00:09:29,280 --> 00:09:31,840 Speaker 1: just because he's publishing this list doesn't mean that this 187 00:09:31,920 --> 00:09:34,560 Speaker 1: is the list, which I think is really absolutely What 188 00:09:34,679 --> 00:09:37,600 Speaker 1: I do think is interesting about Doug Bergham is that 189 00:09:38,000 --> 00:09:42,360 Speaker 1: he actually is pretty smart and is sort of not 190 00:09:42,960 --> 00:09:46,280 Speaker 1: like he appears as a zero to Trump, but in 191 00:09:46,360 --> 00:09:48,880 Speaker 1: some ways, I mean, he's more of a sort of 192 00:09:49,040 --> 00:09:51,440 Speaker 1: more educated Mike Pans but who knows. 193 00:09:51,679 --> 00:09:55,240 Speaker 4: Yes, I think that's right. Look, yeah, I don't underestimate 194 00:09:55,240 --> 00:09:59,600 Speaker 4: Burgham's intelligence. The guy actually did build a legitimately successful business. 195 00:09:59,600 --> 00:10:04,560 Speaker 4: He's not stupid. He's not a traditional political thinker, right, 196 00:10:04,679 --> 00:10:07,199 Speaker 4: which is not Look, I don't think that's the worst 197 00:10:07,200 --> 00:10:10,280 Speaker 4: thing in the world, right, But I will say this, 198 00:10:10,840 --> 00:10:16,520 Speaker 4: It also doesn't end up giving you a deeper understanding 199 00:10:16,880 --> 00:10:19,640 Speaker 4: of Doug Bergham if you observe him in this in 200 00:10:19,679 --> 00:10:21,600 Speaker 4: this campaign, you don't really know who the guy was 201 00:10:21,679 --> 00:10:24,439 Speaker 4: except as a sort of cipher. I suspect he's actually 202 00:10:24,520 --> 00:10:26,120 Speaker 4: been running for VP all along. 203 00:10:26,360 --> 00:10:29,720 Speaker 1: Yes, for sure, I mean there's Roe Kaiser SoSE stuff 204 00:10:29,760 --> 00:10:33,480 Speaker 1: here going on. Oh sure, stay tuned. So one of 205 00:10:33,520 --> 00:10:36,240 Speaker 1: the stories this week that has gotten me absolutely so 206 00:10:36,520 --> 00:10:40,520 Speaker 1: itchy is this story that San Francisco has now welcomed 207 00:10:40,640 --> 00:10:46,320 Speaker 1: Donald Trump because David Sacks had an event. David Sachs 208 00:10:46,440 --> 00:10:49,400 Speaker 1: is a venture capitalist and he's also sucks. 209 00:10:49,800 --> 00:10:50,040 Speaker 3: Yeah. 210 00:10:50,120 --> 00:10:55,280 Speaker 4: His companies include Doucheco, flaming Ahole, dot net, and. 211 00:10:55,200 --> 00:10:57,880 Speaker 1: Like all wealthy men, his dream is to be famous. 212 00:10:57,880 --> 00:10:59,040 Speaker 1: So he has a podcast. 213 00:10:59,320 --> 00:11:01,560 Speaker 4: Yes, he has a pod cast. And if you ever 214 00:11:01,600 --> 00:11:05,040 Speaker 4: want to amuse yourself for hours on end, David Sachs 215 00:11:05,040 --> 00:11:07,840 Speaker 4: at one point considered himself to be a world class 216 00:11:07,880 --> 00:11:11,040 Speaker 4: poker player. If you ever want to have a great laugh, 217 00:11:11,679 --> 00:11:16,880 Speaker 4: go watch David Sachs play poker against actual poker players 218 00:11:16,920 --> 00:11:21,720 Speaker 4: on YouTube. Because you realize this is a guy who, 219 00:11:21,800 --> 00:11:26,079 Speaker 4: as a tech bro type, like PayPal alumni, tech bro type, 220 00:11:26,360 --> 00:11:29,760 Speaker 4: believes that his skills in some narrow sector of technology 221 00:11:29,760 --> 00:11:32,840 Speaker 4: transfer to everything else. Yeah, and that's a very common 222 00:11:32,840 --> 00:11:34,200 Speaker 4: thing in Silicon Valley. By the way, don't you. 223 00:11:34,200 --> 00:11:34,880 Speaker 3: Don't mistake me. 224 00:11:35,040 --> 00:11:37,160 Speaker 4: If you woke up Elon Musk out of a sound 225 00:11:37,200 --> 00:11:40,080 Speaker 4: sleep and said, hey, what do you know about rat biology? 226 00:11:40,160 --> 00:11:42,400 Speaker 4: He would pretend to be the greatest rat biologist in 227 00:11:42,440 --> 00:11:45,240 Speaker 4: all history. But Sax is neo. He brokeer some of 228 00:11:45,280 --> 00:11:48,120 Speaker 4: these people to come in and let let's not you know, 229 00:11:48,240 --> 00:11:52,160 Speaker 4: for ourselves. San Francisco may be a liberal city governance wise, 230 00:11:52,480 --> 00:11:57,640 Speaker 4: but there's a massive amount of tech bro douche nozzle 231 00:11:57,760 --> 00:12:02,080 Speaker 4: types who really are in intrigued by things like authoritarianism, 232 00:12:02,600 --> 00:12:05,120 Speaker 4: intrigued by things like I'm just going to say it, 233 00:12:05,200 --> 00:12:09,360 Speaker 4: by the return of the monarchy. It's weird, but a 234 00:12:09,360 --> 00:12:11,800 Speaker 4: lot of the alt right thinking kind of emerge from 235 00:12:11,840 --> 00:12:15,000 Speaker 4: some of these Silicon Valley post libertarian weirdos. 236 00:12:15,160 --> 00:12:18,120 Speaker 1: Right, they're pretty stupid. I mean, what is kind of 237 00:12:18,160 --> 00:12:21,160 Speaker 1: amazing is like these are these people. I mean Elon 238 00:12:21,280 --> 00:12:24,760 Speaker 1: Musk is a great example. Again, you can argue what 239 00:12:24,920 --> 00:12:28,719 Speaker 1: stage he took over Tesla, you can argue whether or 240 00:12:28,760 --> 00:12:31,280 Speaker 1: not he's a scientist, but he did in fact do 241 00:12:31,520 --> 00:12:35,440 Speaker 1: some smart investing if nothing else. Sure, and he was 242 00:12:35,520 --> 00:12:39,520 Speaker 1: able to parlay government subsidies into becoming the richest man 243 00:12:39,600 --> 00:12:42,440 Speaker 1: in the world, which is not nothing. But he's really 244 00:12:42,520 --> 00:12:47,079 Speaker 1: done terribly when it comes to squandering money on X 245 00:12:47,600 --> 00:12:51,440 Speaker 1: sucking up to some of the scariest autocrats in the 246 00:12:51,559 --> 00:12:54,320 Speaker 1: Republican Party. I have this theory that you need to 247 00:12:54,320 --> 00:12:56,880 Speaker 1: have one person who tells you the truth. Sure, and 248 00:12:56,960 --> 00:12:59,040 Speaker 1: if you're a billionaire like that, you don't have one 249 00:12:59,040 --> 00:13:00,000 Speaker 1: person who tells you the truth. 250 00:13:00,520 --> 00:13:03,000 Speaker 4: No, everyone who talks to Elon Musk in his circle 251 00:13:03,120 --> 00:13:06,040 Speaker 4: every day tells him you are the smartest, richest, most 252 00:13:06,080 --> 00:13:09,320 Speaker 4: handsome man in the world. Everyone else is stupid. You 253 00:13:09,400 --> 00:13:14,320 Speaker 4: are magical and your twelve feet tall, and women desire you, 254 00:13:14,360 --> 00:13:16,280 Speaker 4: men want to be and look. You and I both 255 00:13:16,360 --> 00:13:18,880 Speaker 4: have known enough very wealthy people that that is a 256 00:13:19,000 --> 00:13:21,480 Speaker 4: very addictive thing to have in front of them. 257 00:13:21,679 --> 00:13:24,120 Speaker 3: That is a very powerful drug. 258 00:13:24,200 --> 00:13:28,239 Speaker 1: Right, But in the end it leads to making terrible decisions. 259 00:13:28,520 --> 00:13:30,360 Speaker 1: I mean, I'm trying to remember who it was. One 260 00:13:30,440 --> 00:13:33,559 Speaker 1: of those tech guys was saying that, you know, maybe 261 00:13:33,600 --> 00:13:40,480 Speaker 1: Biden would lose the primary to Dean Phillips because Dean 262 00:13:40,520 --> 00:13:42,600 Speaker 1: Phillips was a bold new voice. 263 00:13:42,880 --> 00:13:43,920 Speaker 3: That was Bill Ackman. 264 00:13:45,040 --> 00:13:48,800 Speaker 1: That's one of my favorite tweets. Thank you for reminding 265 00:13:48,880 --> 00:13:49,600 Speaker 1: me about that. 266 00:13:49,800 --> 00:13:51,960 Speaker 3: Happy to poke the button me. 267 00:13:51,880 --> 00:13:53,560 Speaker 1: A moment of joy if nothing else. 268 00:13:53,640 --> 00:13:55,959 Speaker 3: Yes, go on, And I say this a lot. 269 00:13:56,080 --> 00:13:58,640 Speaker 4: People who are very good at something like to believe 270 00:13:58,640 --> 00:13:59,920 Speaker 4: they're very good at everything. 271 00:14:00,160 --> 00:14:00,360 Speaker 1: Right. 272 00:14:00,600 --> 00:14:03,040 Speaker 4: That's a sign of maturity when you know that you're 273 00:14:03,080 --> 00:14:04,920 Speaker 4: good at one thing, but you're not good at even 274 00:14:05,040 --> 00:14:08,199 Speaker 4: scaling up certain things right. But I'll give you an example, Molly. 275 00:14:08,360 --> 00:14:10,960 Speaker 4: I am a fairly experienced pilot. I've flown a lot 276 00:14:11,000 --> 00:14:13,160 Speaker 4: of hours. I've flowed a bunch of different airplanes. But 277 00:14:13,360 --> 00:14:16,280 Speaker 4: me flying a beachcraft bearing around is one thing. But 278 00:14:16,360 --> 00:14:18,200 Speaker 4: if you sat me in the seat of an F 279 00:14:18,280 --> 00:14:20,800 Speaker 4: thirty five fighter plane, could I take off? Could I 280 00:14:20,800 --> 00:14:23,120 Speaker 4: fly around? Probably? Am I going to drill into the 281 00:14:23,120 --> 00:14:26,440 Speaker 4: ground like a fucking idiot? Almost certainly so these guys 282 00:14:26,440 --> 00:14:29,080 Speaker 4: who say, well, I've managed a tech company, therefore I 283 00:14:29,160 --> 00:14:31,880 Speaker 4: understand how to run the entire economy for Donald Trump? No, 284 00:14:32,080 --> 00:14:33,720 Speaker 4: maybe that ain't it? 285 00:14:33,280 --> 00:14:33,320 Speaker 1: That? 286 00:14:34,040 --> 00:14:35,320 Speaker 3: Ain't it? Chief right? 287 00:14:35,400 --> 00:14:41,040 Speaker 1: Exactly exactly, and it is a certain hubris. Yes, incredible. 288 00:14:41,400 --> 00:14:44,120 Speaker 1: It does strike me that they really are not as 289 00:14:44,160 --> 00:14:46,240 Speaker 1: good at this as they think they are. 290 00:14:46,440 --> 00:14:49,800 Speaker 4: They're really not. And to be clear, an awful lot 291 00:14:49,920 --> 00:14:53,120 Speaker 4: of these tech people, these are guys who, no matter 292 00:14:53,120 --> 00:14:55,360 Speaker 4: how rich they get, they still come from this sort 293 00:14:55,400 --> 00:15:00,720 Speaker 4: of background of difficult interpersonal skills because they were not 294 00:15:00,920 --> 00:15:04,480 Speaker 4: raised to be people who were great at fraternity parties. 295 00:15:04,640 --> 00:15:07,680 Speaker 4: You were good in the room of talking to girls. 296 00:15:08,240 --> 00:15:12,160 Speaker 4: All of it, like their weirdness and their diffidence sometimes 297 00:15:12,240 --> 00:15:15,960 Speaker 4: and arrogance others the in cell streak is strong with 298 00:15:16,040 --> 00:15:19,560 Speaker 4: many of these people, it's very difficult for them to 299 00:15:19,680 --> 00:15:23,760 Speaker 4: overcome that weird goofy college tech bro thing, and so 300 00:15:23,880 --> 00:15:27,800 Speaker 4: I find that to be a real causal factor in. 301 00:15:27,720 --> 00:15:28,160 Speaker 3: A lot of this. 302 00:15:28,680 --> 00:15:30,080 Speaker 1: Thank you, Rick Wilson. 303 00:15:30,760 --> 00:15:37,640 Speaker 4: I'm delighted as always, Molly. 304 00:15:35,880 --> 00:15:38,040 Speaker 1: Spring is here, and I bet you are trying to 305 00:15:38,040 --> 00:15:41,640 Speaker 1: look fashionable. So why not pick up some fashionable all 306 00:15:41,720 --> 00:15:46,320 Speaker 1: new Fast Politics merchandise. We just opened a news store 307 00:15:46,480 --> 00:15:50,960 Speaker 1: with all new designs just for you. Get t shirts, hoodies, hats, 308 00:15:51,280 --> 00:15:57,000 Speaker 1: and top bags. To grab some, head to fastpolitics dot com. 309 00:15:57,280 --> 00:15:59,920 Speaker 2: Justin Elliott is a reporter at pro Public Company. 310 00:16:00,160 --> 00:16:01,040 Speaker 3: Hey, good to be here. 311 00:16:01,240 --> 00:16:04,400 Speaker 1: Tell me how you guys got going on this? 312 00:16:05,000 --> 00:16:06,040 Speaker 3: Yeah, it's interesting. You know. 313 00:16:06,080 --> 00:16:10,760 Speaker 5: We were looking at some staffers of the Trump campaign, 314 00:16:11,520 --> 00:16:14,720 Speaker 5: just kind of doing preliminary research, trying to understand who 315 00:16:14,760 --> 00:16:18,880 Speaker 5: was running the campaign, and started to notice that a 316 00:16:18,920 --> 00:16:22,320 Speaker 5: lot of people who work on the campaign are also 317 00:16:22,400 --> 00:16:27,000 Speaker 5: people that have found themselves as witnesses in the various 318 00:16:27,440 --> 00:16:31,280 Speaker 5: cases against Trump, the criminal cases, and so this struck 319 00:16:31,400 --> 00:16:33,800 Speaker 5: us as potentially interesting, and then we sort of widen 320 00:16:33,880 --> 00:16:36,400 Speaker 5: the scope of our research and started noticing that there 321 00:16:36,440 --> 00:16:39,520 Speaker 5: were other people at for example, the Trump Organization is 322 00:16:39,560 --> 00:16:44,800 Speaker 5: business and the company that runs social Trump Media, who 323 00:16:44,800 --> 00:16:47,840 Speaker 5: were also witnesses. So turned out to be a fairly 324 00:16:47,920 --> 00:16:50,880 Speaker 5: large set of people who actually had money in one 325 00:16:50,960 --> 00:16:54,680 Speaker 5: form or another flowing to them who are witnesses and 326 00:16:54,720 --> 00:16:57,800 Speaker 5: the Trump cases, and so that seemed interesting to us, 327 00:16:57,800 --> 00:17:00,200 Speaker 5: so we started kind of understand. 328 00:16:59,720 --> 00:17:02,200 Speaker 1: What going on and what did you find? 329 00:17:02,560 --> 00:17:07,000 Speaker 5: What we found is that there's at least nine people 330 00:17:07,080 --> 00:17:10,160 Speaker 5: who are witnesses in the Trump cases who have had 331 00:17:10,760 --> 00:17:14,240 Speaker 5: financial benefits flow to them from Trump, in many cases 332 00:17:14,359 --> 00:17:18,920 Speaker 5: sort of unusual or unexplained financial benefits. So to give 333 00:17:18,960 --> 00:17:23,200 Speaker 5: a couple examples, there's a staff around the campaign named 334 00:17:23,320 --> 00:17:27,720 Speaker 5: Boris Epstein who was also heavily involved in the events 335 00:17:27,760 --> 00:17:30,119 Speaker 5: after the twenty twenty election, is a witness in the 336 00:17:30,880 --> 00:17:35,520 Speaker 5: election interference cases against Trump, and we found that right 337 00:17:35,600 --> 00:17:40,000 Speaker 5: after those indictments, he saw his pay from the campaign 338 00:17:40,440 --> 00:17:43,280 Speaker 5: basically double from around twenty six thousand a month on 339 00:17:43,359 --> 00:17:45,679 Speaker 5: average to over fifty thousand. 340 00:17:45,400 --> 00:17:46,800 Speaker 3: Dollars a month on average. 341 00:17:46,960 --> 00:17:48,920 Speaker 5: I think that's around seven hundred thousand dollars a year, 342 00:17:49,000 --> 00:17:50,560 Speaker 5: so a salary that a lot of people would be 343 00:17:50,560 --> 00:17:51,119 Speaker 5: pretty happy. 344 00:17:51,720 --> 00:17:56,200 Speaker 1: Yeah, so you found these pay bombs, and they were 345 00:17:56,280 --> 00:18:02,800 Speaker 1: sort of timed right after people didn't testify. 346 00:18:02,920 --> 00:18:06,000 Speaker 5: Time that at a variety of sort of sensitive moments 347 00:18:06,080 --> 00:18:10,200 Speaker 5: in these various investigations. Obviously there's a lot of acts here. 348 00:18:10,280 --> 00:18:12,760 Speaker 5: But you know, in another case, and this is one 349 00:18:12,760 --> 00:18:16,800 Speaker 5: that actually came up in the Hushmunny trial last month, 350 00:18:17,080 --> 00:18:20,919 Speaker 5: the Trump organization gave what seems to be a pretty 351 00:18:21,000 --> 00:18:26,119 Speaker 5: unusual severance package to Alan Weisselberg, longtime CFO, two million 352 00:18:26,200 --> 00:18:31,240 Speaker 5: dollars in the heart of the investigations that Weisselberg was 353 00:18:31,320 --> 00:18:34,000 Speaker 5: somebody that was clearly going to be a witness inner 354 00:18:34,080 --> 00:18:37,600 Speaker 5: had knowledge of. And this wasn't two million dollars paid 355 00:18:37,680 --> 00:18:40,040 Speaker 5: all at once. It was two million dollars paid in 356 00:18:40,040 --> 00:18:44,400 Speaker 5: installments over two years, with a non disparagement clause attached 357 00:18:44,440 --> 00:18:44,800 Speaker 5: to it. 358 00:18:45,040 --> 00:18:49,639 Speaker 1: Alan Weisselberg is being paid to go to jail and 359 00:18:49,720 --> 00:18:53,000 Speaker 1: also not testify. I know you're not on the opinion 360 00:18:53,080 --> 00:18:56,800 Speaker 1: side that you're astral journalist, but one might extrapolate that 361 00:18:56,880 --> 00:18:58,360 Speaker 1: he is being paid for something. 362 00:18:58,640 --> 00:19:01,080 Speaker 5: Yeah, and this is something that Eric Trump actually was 363 00:19:01,119 --> 00:19:04,200 Speaker 5: asked about this on the stand in the civil fraud 364 00:19:04,240 --> 00:19:07,480 Speaker 5: trial last year and claimed that his dad had nothing 365 00:19:07,480 --> 00:19:09,399 Speaker 5: to do with it. Maybe he didn't even know about it, 366 00:19:09,480 --> 00:19:12,320 Speaker 5: but what the facts are is that, yeah, Alan Weisberg 367 00:19:12,400 --> 00:19:15,159 Speaker 5: was given two million dollars paid in installments over the 368 00:19:15,280 --> 00:19:17,840 Speaker 5: course of two years. I think it's actually still being 369 00:19:17,880 --> 00:19:20,680 Speaker 5: paid at with this non asparishment club hot take. 370 00:19:20,800 --> 00:19:23,720 Speaker 1: Would you go to jail for two million dollars? 371 00:19:23,880 --> 00:19:26,480 Speaker 5: I would not go to rip peers for probably any 372 00:19:26,480 --> 00:19:29,479 Speaker 5: amount of money, piste when I read about how that 373 00:19:29,520 --> 00:19:30,200 Speaker 5: place is thro un. 374 00:19:30,240 --> 00:19:32,440 Speaker 1: And you guys have done some really good reporting about 375 00:19:32,440 --> 00:19:36,000 Speaker 1: wrikers too, And I don't want to laugh, because there 376 00:19:36,000 --> 00:19:38,480 Speaker 1: are a lot of people who are being treated really 377 00:19:38,520 --> 00:19:41,640 Speaker 1: poorly by this criminal justice completely, but none of them 378 00:19:41,920 --> 00:19:45,200 Speaker 1: have the last name of Trump. So explain to us 379 00:19:45,520 --> 00:19:49,880 Speaker 1: what this sort of looks like. So Epstein is actually 380 00:19:49,920 --> 00:19:53,919 Speaker 1: still working for Trump World and is a pretty central figure, right. 381 00:19:53,960 --> 00:19:56,520 Speaker 5: Yeah, And he's a really interesting case because you know, 382 00:19:56,600 --> 00:20:00,199 Speaker 5: as I mentioned, he was very deeply involved in the 383 00:20:00,240 --> 00:20:04,800 Speaker 5: effort to assemble false electors after Toy twenty election, to 384 00:20:04,840 --> 00:20:07,600 Speaker 5: the point where he actually was just indicted himself in 385 00:20:07,680 --> 00:20:11,760 Speaker 5: the Arizona case, but in Trump's cases, he appeared before 386 00:20:11,960 --> 00:20:16,080 Speaker 5: the Georgia Grand Jurity. He was interviewed by the FEDS 387 00:20:16,240 --> 00:20:21,000 Speaker 5: on what became the Federal Special Council election interference case. 388 00:20:21,480 --> 00:20:24,280 Speaker 5: And he, you know, as I mentioned, his pay went 389 00:20:24,320 --> 00:20:26,879 Speaker 5: from twenty six thousand a month to fifty three thousand 390 00:20:26,920 --> 00:20:30,879 Speaker 5: a month. The campaign says that sort of duties ramped up. 391 00:20:30,960 --> 00:20:34,000 Speaker 5: It's not totally clear what he does every day. They 392 00:20:34,040 --> 00:20:39,640 Speaker 5: describe it as ordinating the legal defense efforts, coordinating all lawyers. 393 00:20:39,640 --> 00:20:42,560 Speaker 5: And Epstein is a lawyer, but as far as we 394 00:20:42,600 --> 00:20:45,119 Speaker 5: could tell, he's never done any criminal defense work. I 395 00:20:45,240 --> 00:20:49,000 Speaker 5: believe he did some kind of investment banking, financial transaction stuff. 396 00:20:49,040 --> 00:20:53,320 Speaker 5: So not exactly a natural choice to coordinate an complex 397 00:20:53,400 --> 00:20:56,520 Speaker 5: white collar defense case or set of cases. 398 00:20:56,800 --> 00:21:00,160 Speaker 1: And he's not behind the desk anywhere. I mean, it's 399 00:21:00,160 --> 00:21:01,600 Speaker 1: not like we're seeing him do this. 400 00:21:02,119 --> 00:21:04,399 Speaker 5: I think he showed up to the hush money trial 401 00:21:04,840 --> 00:21:06,679 Speaker 5: at least a couple of times in. 402 00:21:06,560 --> 00:21:10,680 Speaker 1: The galley, not as behind the table advising him. 403 00:21:10,760 --> 00:21:13,040 Speaker 5: No, he is not acting as an attorney for Trump. 404 00:21:13,119 --> 00:21:17,320 Speaker 5: He's a campaign staffer who's what they say is coordinating 405 00:21:17,440 --> 00:21:19,159 Speaker 5: the work of the lawyers. I mean, the other striking 406 00:21:19,200 --> 00:21:21,200 Speaker 5: thing about this is that you think you would think 407 00:21:21,320 --> 00:21:24,400 Speaker 5: that you know, your pay doubles to something like seven 408 00:21:24,440 --> 00:21:27,840 Speaker 5: hundred thousand dollars a year, that that's your only job. 409 00:21:28,160 --> 00:21:31,720 Speaker 5: But actually he's technically a contractor, and we found that 410 00:21:32,280 --> 00:21:35,480 Speaker 5: a couple months after the pay increase, he took on 411 00:21:35,560 --> 00:21:40,000 Speaker 5: an additional side job working for an unrelated financial services 412 00:21:40,000 --> 00:21:42,800 Speaker 5: company with the title of managing director. He's also still 413 00:21:42,840 --> 00:21:46,080 Speaker 5: working for some other campaigns unrelated to Trump, so he's 414 00:21:46,080 --> 00:21:48,760 Speaker 5: not even devoting all his time to the Trump campaign 415 00:21:48,920 --> 00:21:50,080 Speaker 5: despite getting the stricks. 416 00:21:50,440 --> 00:21:52,879 Speaker 1: So he's making seven hundred and fifty thousand dollars for 417 00:21:52,920 --> 00:21:53,760 Speaker 1: a part time job. 418 00:21:54,080 --> 00:21:56,440 Speaker 5: He might contest that it's part time, but I guess 419 00:21:56,680 --> 00:21:58,320 Speaker 5: what I would say strictly hwigs. 420 00:21:58,400 --> 00:22:00,200 Speaker 3: What we know is he has other jobs. 421 00:22:00,280 --> 00:22:02,760 Speaker 5: It's possibly he's working more than forty hours away. 422 00:22:02,960 --> 00:22:05,280 Speaker 1: Oh well, that's something. Talk to me about some of 423 00:22:05,320 --> 00:22:06,959 Speaker 1: the other characters in this story. 424 00:22:07,680 --> 00:22:07,960 Speaker 4: Sure. 425 00:22:08,160 --> 00:22:12,000 Speaker 5: So another interesting figure actually is one of the people 426 00:22:12,040 --> 00:22:16,199 Speaker 5: that's running the campaign, a Florida political operative named Susie Wilds. 427 00:22:16,760 --> 00:22:20,720 Speaker 5: She's usually described as the de facto campaign manager, and 428 00:22:20,800 --> 00:22:25,159 Speaker 5: she ended up becoming a witness in the classified documents 429 00:22:25,240 --> 00:22:28,119 Speaker 5: case because you know, according to the allegations, at least 430 00:22:28,960 --> 00:22:32,280 Speaker 5: she was one of the people that Trump actually showed 431 00:22:32,440 --> 00:22:35,680 Speaker 5: some of these classified documents too. She didn't have any 432 00:22:35,720 --> 00:22:39,440 Speaker 5: security clearance, so that's actually part of the classified document case. 433 00:22:39,520 --> 00:22:40,720 Speaker 3: She ended up becoming a. 434 00:22:40,680 --> 00:22:43,840 Speaker 5: Witness in that, and we're able to see through the 435 00:22:43,880 --> 00:22:47,480 Speaker 5: campaign and finance disclosure records that the same month that 436 00:22:47,560 --> 00:22:50,240 Speaker 5: Trump was indicted in that case in which she's a witness, 437 00:22:50,520 --> 00:22:54,159 Speaker 5: there's a balloon payment from the highest ever payment had 438 00:22:54,200 --> 00:22:57,040 Speaker 5: gotten in a single month from the campaign, seventy five 439 00:22:57,080 --> 00:23:00,720 Speaker 5: thousand dollars. The campaign told us that this was actually 440 00:23:01,400 --> 00:23:03,920 Speaker 5: paying for several months of work, but there's no way 441 00:23:03,920 --> 00:23:06,760 Speaker 5: to kind of confirm that independently. So she got a 442 00:23:06,840 --> 00:23:10,639 Speaker 5: raise and there was this billian payment. And then also interesting, 443 00:23:10,960 --> 00:23:15,400 Speaker 5: her adult daughter was hired by the campaign, Caroline Wilds, 444 00:23:15,560 --> 00:23:17,399 Speaker 5: in a high paying position. I think she's the fourth 445 00:23:17,440 --> 00:23:19,920 Speaker 5: highest paid person of the campaign right now. And this 446 00:23:19,960 --> 00:23:22,400 Speaker 5: is somebody that has sort of been around Trump world, 447 00:23:22,400 --> 00:23:25,560 Speaker 5: although she was most recently in the news what Trump 448 00:23:25,600 --> 00:23:27,560 Speaker 5: was in the White House, because she actually had to 449 00:23:27,920 --> 00:23:30,840 Speaker 5: leave one of her jobs, reportedly because she didn't pass 450 00:23:30,840 --> 00:23:34,119 Speaker 5: a background check. She'd had some financial problems, and I 451 00:23:34,119 --> 00:23:37,520 Speaker 5: think DUIs in her past. So the context here, by 452 00:23:37,520 --> 00:23:42,400 Speaker 5: the way, is like actual witness tempering is a federal crime. Now, 453 00:23:42,560 --> 00:23:45,879 Speaker 5: to be clear, what you need to prove that crime 454 00:23:46,200 --> 00:23:48,119 Speaker 5: is first of all, that some benefit was given to 455 00:23:48,160 --> 00:23:50,560 Speaker 5: a witness or there was some sort of penalty. But 456 00:23:50,600 --> 00:23:53,480 Speaker 5: the difficult part to prove is the intent part. You know, 457 00:23:53,560 --> 00:23:57,080 Speaker 5: prosters would have to prove that Trump was intending to 458 00:23:57,080 --> 00:23:59,680 Speaker 5: influence their testimony. We talked to a bunch of white 459 00:23:59,720 --> 00:24:02,560 Speaker 5: collar fencillers who said this is sometimes hard to prove. 460 00:24:02,560 --> 00:24:07,560 Speaker 5: Although interestingly, both Roger Stone and Paul Manislor, both former 461 00:24:07,680 --> 00:24:11,879 Speaker 5: Trump campaigns, were each separately convicted of federal winnesssemmery charges 462 00:24:12,359 --> 00:24:15,320 Speaker 5: in their criminal cases a few years ago, so it's 463 00:24:15,320 --> 00:24:17,359 Speaker 5: not impossible to yeah, as. 464 00:24:17,240 --> 00:24:20,720 Speaker 1: A benefic share of nepotism. Myself, I hate to set 465 00:24:21,080 --> 00:24:23,760 Speaker 1: all in the weeds about it, but it does strike 466 00:24:23,840 --> 00:24:27,879 Speaker 1: me as you know, hiring the daughter when she couldn't 467 00:24:27,880 --> 00:24:31,440 Speaker 1: pass the background check, making her the fourth highest paid 468 00:24:31,440 --> 00:24:34,439 Speaker 1: person in the campaign. And there does seem to be 469 00:24:34,480 --> 00:24:38,280 Speaker 1: a fair amount of squandering of donor dollars. 470 00:24:37,880 --> 00:24:41,520 Speaker 5: Here, right, I mean, at the very least, even if 471 00:24:41,560 --> 00:24:45,560 Speaker 5: there's no crime here and we're not reporting that there was, 472 00:24:45,680 --> 00:24:47,760 Speaker 5: we're kind of laying out it seems like a pretty 473 00:24:47,760 --> 00:24:50,199 Speaker 5: striking pattern. But this is the type of thing that 474 00:24:50,640 --> 00:24:55,040 Speaker 5: if these cases actually do ever end up going to trial, 475 00:24:55,080 --> 00:24:57,920 Speaker 5: the remaining cases, which are the federal and state election 476 00:24:57,960 --> 00:25:02,560 Speaker 5: interference cases, the by documents case, these are facts that 477 00:25:02,600 --> 00:25:06,199 Speaker 5: could become very relevant if these people end up on 478 00:25:06,240 --> 00:25:10,640 Speaker 5: the stand when they're being cross examined or questioned by prosecutors, 479 00:25:10,760 --> 00:25:12,840 Speaker 5: you know, because it can speak to their credibility. If 480 00:25:12,880 --> 00:25:16,159 Speaker 5: you're getting a paycheck from the defendant in a case, 481 00:25:16,560 --> 00:25:18,000 Speaker 5: that's something that's obviously relevant. 482 00:25:18,040 --> 00:25:19,840 Speaker 3: I think it becomes more interesting. 483 00:25:19,920 --> 00:25:23,480 Speaker 5: We were told by lawyers if if you got unexplained 484 00:25:23,640 --> 00:25:27,240 Speaker 5: raises or special treatment in either direction of books. 485 00:25:27,600 --> 00:25:31,920 Speaker 1: So people like Borisch, Epstein, Susie Wilds, who else is 486 00:25:32,000 --> 00:25:35,560 Speaker 1: sort of benefiting from this well timed raise. 487 00:25:35,880 --> 00:25:40,879 Speaker 5: Yeah, there's another campaign staffer named Margot Martin who was 488 00:25:40,920 --> 00:25:44,480 Speaker 5: at the New York hush money case fairly frequently. Martin 489 00:25:44,520 --> 00:25:47,440 Speaker 5: was another person who became a witness in the classified 490 00:25:47,480 --> 00:25:51,120 Speaker 5: documents case because allegedly she was in the room when 491 00:25:51,240 --> 00:25:54,679 Speaker 5: Trump showed off what he described I believe on tape 492 00:25:54,720 --> 00:25:56,360 Speaker 5: as a secret military document. 493 00:25:57,600 --> 00:26:02,000 Speaker 1: I remember, Wow, you said, I empty classified this anymore 494 00:26:02,000 --> 00:26:05,359 Speaker 1: because I'm not president anymore. Right, There was something like that. 495 00:26:05,520 --> 00:26:07,639 Speaker 5: Yeah, And he also, I believe, described it as secret 496 00:26:07,680 --> 00:26:08,800 Speaker 5: and highly confidential. 497 00:26:09,040 --> 00:26:11,600 Speaker 1: Yes, I think that's right, and I gotta love it. 498 00:26:11,800 --> 00:26:15,240 Speaker 5: And so she was called before the grand jury as 499 00:26:15,240 --> 00:26:18,199 Speaker 5: a witness in that case. A few months before that 500 00:26:18,960 --> 00:26:23,080 Speaker 5: she got it, was given a job on Trump campaign 501 00:26:23,480 --> 00:26:26,600 Speaker 5: and was given a twenty percent pay raise from her 502 00:26:26,680 --> 00:26:30,040 Speaker 5: previous job working for a kind of Trump affiliated political committee. 503 00:26:30,080 --> 00:26:34,000 Speaker 5: So not as dramatic as the Epstein case, but still 504 00:26:34,040 --> 00:26:36,520 Speaker 5: something that seems relevant. I mean, I think the maybe 505 00:26:36,560 --> 00:26:38,359 Speaker 5: the most striking one in terms of the amount of 506 00:26:38,359 --> 00:26:40,959 Speaker 5: money involves Dan Scavino. 507 00:26:40,800 --> 00:26:45,960 Speaker 1: Oh, a character from Season one, Yeah, tell us Dancecavino. 508 00:26:46,119 --> 00:26:48,000 Speaker 1: He started as a caddy, right. 509 00:26:48,320 --> 00:26:50,399 Speaker 5: He's known Trump, I think since he was a teenager 510 00:26:50,640 --> 00:26:53,400 Speaker 5: as a caddie. And the kind of funny Trump line 511 00:26:53,400 --> 00:26:55,880 Speaker 5: that we quoted in our story is Trump once called 512 00:26:55,920 --> 00:26:58,320 Speaker 5: Scavino the most powerful man in politics because he had 513 00:26:58,359 --> 00:27:01,280 Speaker 5: the keys to Trump's social media accounts, he could posed 514 00:27:01,320 --> 00:27:01,720 Speaker 5: for Trump. 515 00:27:01,920 --> 00:27:03,440 Speaker 3: So he's obviously a. 516 00:27:03,320 --> 00:27:07,520 Speaker 5: Long time paid and associate of Trump. He was with 517 00:27:07,680 --> 00:27:11,240 Speaker 5: Trump in the final weeks of his presidency again the 518 00:27:11,240 --> 00:27:14,080 Speaker 5: whole period of tried to overtry the election, and then 519 00:27:14,280 --> 00:27:19,920 Speaker 5: January sixth, he was subpoenaed by the January sixth Committee, 520 00:27:20,200 --> 00:27:23,159 Speaker 5: and for a while he was fighting that subpoena. He 521 00:27:23,240 --> 00:27:27,200 Speaker 5: did ultimately appear, but in between the time when he 522 00:27:27,560 --> 00:27:31,440 Speaker 5: was subpoena and he appeared, he was given a consulting 523 00:27:31,480 --> 00:27:34,480 Speaker 5: deal by True Social, the company behind Truth's Social, that 524 00:27:34,640 --> 00:27:36,840 Speaker 5: was worth two hundred and forty thousand dollars a year. 525 00:27:36,920 --> 00:27:39,840 Speaker 5: He was also given board seat on the company, and then, 526 00:27:39,880 --> 00:27:42,840 Speaker 5: most interestingly, although the timing on this is not really clear, 527 00:27:43,160 --> 00:27:46,119 Speaker 5: he was given a four million dollar what they call 528 00:27:46,240 --> 00:27:49,280 Speaker 5: promisory noe, which is something that ultimately became shares of 529 00:27:49,280 --> 00:27:51,879 Speaker 5: the company, but four million dollars worth of shares of 530 00:27:51,920 --> 00:27:56,560 Speaker 5: the company. And we asked Trump Media group what this 531 00:27:56,760 --> 00:28:00,480 Speaker 5: was for, and they didn't engage with us. I think 532 00:28:00,480 --> 00:28:03,080 Speaker 5: it's been reported he had some role in kind of 533 00:28:03,400 --> 00:28:06,520 Speaker 5: coming up with the idea True Social. Details in that 534 00:28:06,680 --> 00:28:09,160 Speaker 5: not totally clear to me, But he is a witness 535 00:28:09,440 --> 00:28:12,160 Speaker 5: who was given four million dollars by Trump Media. 536 00:28:12,359 --> 00:28:14,800 Speaker 1: That seems like a lot of money to me. It is, 537 00:28:15,400 --> 00:28:19,560 Speaker 1: it feels like a lot. This isn't illegal per se, 538 00:28:19,640 --> 00:28:23,760 Speaker 1: but it certainly looks pretty sketchy our law enforcement looking 539 00:28:23,800 --> 00:28:26,199 Speaker 1: into this at all. I mean it difertly feels like 540 00:28:26,280 --> 00:28:29,560 Speaker 1: a kind of mobby situation here, right, We. 541 00:28:29,520 --> 00:28:31,400 Speaker 5: Don't know if law enforcements looking into it. I will 542 00:28:31,400 --> 00:28:33,520 Speaker 5: say it actually could be illegal. I mean, if it 543 00:28:33,600 --> 00:28:37,080 Speaker 5: turns out that Trump or somebody around him was doing 544 00:28:37,119 --> 00:28:40,440 Speaker 5: this with a provable intention to influence testimony, so legal. 545 00:28:40,640 --> 00:28:43,880 Speaker 5: For example, Roger Stone, who in an unrelated case several 546 00:28:43,960 --> 00:28:47,200 Speaker 5: years ago, got actually convicted of witness tamperring. He was 547 00:28:47,240 --> 00:28:51,520 Speaker 5: sending text to a witness making references to The Godfather 548 00:28:51,640 --> 00:28:54,520 Speaker 5: Part two, telling him to do what a character in 549 00:28:54,560 --> 00:28:57,320 Speaker 5: that movie did, who was who appears before Congress and 550 00:28:57,600 --> 00:29:02,800 Speaker 5: lies about organized crime. If you're texting people making references 551 00:29:02,800 --> 00:29:05,800 Speaker 5: to somebody that is known for lying as a witness, 552 00:29:05,880 --> 00:29:09,160 Speaker 5: you know, you can be convicted of witness tampering. The 553 00:29:09,200 --> 00:29:13,120 Speaker 5: Trump campaign did actually engage with us, said that it 554 00:29:13,160 --> 00:29:16,000 Speaker 5: was false that they were doing anything you know, that 555 00:29:16,040 --> 00:29:18,800 Speaker 5: could be regarded as tampering, although they also said something 556 00:29:18,840 --> 00:29:22,560 Speaker 5: that I found interesting, which is that they say that 557 00:29:22,680 --> 00:29:26,240 Speaker 5: Trump himself is really just not evolved in the decision 558 00:29:26,320 --> 00:29:34,240 Speaker 5: making around promotions, salary increases, bonuses. They argued that Trump 559 00:29:34,240 --> 00:29:37,080 Speaker 5: doesn't even know what people are being paid. We don't 560 00:29:37,120 --> 00:29:39,120 Speaker 5: really have any way to back check that at this point. 561 00:29:39,160 --> 00:29:44,040 Speaker 5: But if that is true, it's an incredible departure from 562 00:29:44,280 --> 00:29:46,840 Speaker 5: how Trump ran his business for many years. He was 563 00:29:46,880 --> 00:29:50,200 Speaker 5: well known for, you know, wanting to approve any expense 564 00:29:50,240 --> 00:29:52,600 Speaker 5: over a thousand dollars or something like that. Like really 565 00:29:52,680 --> 00:29:54,960 Speaker 5: the guy that was getting in the weeds of the finances. 566 00:29:55,000 --> 00:29:58,160 Speaker 5: So the campaign's saying that when it comes to the campaign, 567 00:29:58,200 --> 00:30:00,560 Speaker 5: Trump basically doesn't know anything about it, at least how 568 00:30:00,640 --> 00:30:02,880 Speaker 5: staff are being paid. It doesn't have any role making 569 00:30:02,960 --> 00:30:03,920 Speaker 5: those decisions. 570 00:30:04,360 --> 00:30:07,640 Speaker 1: Yeah, people have used this defense for him before, right, 571 00:30:07,760 --> 00:30:10,560 Speaker 1: because we saw this in the Stormy Daniel's trial. 572 00:30:10,800 --> 00:30:12,239 Speaker 5: Yeah, although I will say, I mean one of their 573 00:30:12,240 --> 00:30:15,600 Speaker 5: piece of context here is we sort of in the 574 00:30:15,720 --> 00:30:21,520 Speaker 5: story go through the recent history of incidents where there 575 00:30:21,520 --> 00:30:24,840 Speaker 5: were mist allegations that Trump or people around him were 576 00:30:24,840 --> 00:30:28,200 Speaker 5: trying to influence witnesses. And I think one striking example 577 00:30:28,440 --> 00:30:32,480 Speaker 5: was Trump himself on truth Social last year did a 578 00:30:32,520 --> 00:30:37,840 Speaker 5: post in which he explicitly told a Georgia politician who 579 00:30:37,840 --> 00:30:41,680 Speaker 5: had been called before the Georgia grand jury to not 580 00:30:42,120 --> 00:30:45,520 Speaker 5: appear before the grand jury. This is not my interpretation, 581 00:30:46,000 --> 00:30:50,080 Speaker 5: this is like explicitly the post says this politician has 582 00:30:50,120 --> 00:30:52,280 Speaker 5: been called before the Grand Jury. 583 00:30:52,320 --> 00:30:53,160 Speaker 3: He shouldn't appear. 584 00:30:53,360 --> 00:30:57,000 Speaker 5: It's not a wild idea that Trump would get involved 585 00:30:57,040 --> 00:30:59,720 Speaker 5: in trying to influence potential witnesses. 586 00:31:00,120 --> 00:31:00,440 Speaker 3: Done it. 587 00:31:00,520 --> 00:31:03,480 Speaker 1: This is what he does. Thank you so much for 588 00:31:03,600 --> 00:31:05,640 Speaker 1: joining us. This was really really great. 589 00:31:05,880 --> 00:31:06,520 Speaker 5: Thanks so much. 590 00:31:08,920 --> 00:31:11,200 Speaker 2: Jeff Goodell is the author of The Heat Will Kill 591 00:31:11,200 --> 00:31:13,880 Speaker 2: You First Life and Death on a Scorched Planet. 592 00:31:14,160 --> 00:31:16,840 Speaker 1: Welcome to Fast Politics, Jeff. 593 00:31:16,680 --> 00:31:18,800 Speaker 3: Padaw Thank you for having me. Happy to be here. 594 00:31:19,040 --> 00:31:21,040 Speaker 1: So the book is called The Heat Will Kill You 595 00:31:21,120 --> 00:31:24,680 Speaker 1: First Life and Death on a Scorch Planet. You had 596 00:31:24,680 --> 00:31:27,600 Speaker 1: a brilliant op ed in the New York Times. Talk 597 00:31:27,640 --> 00:31:29,800 Speaker 1: to me about your central thesis here. 598 00:31:30,000 --> 00:31:32,720 Speaker 3: Well, my central thesis is that you know, extreme heat 599 00:31:32,760 --> 00:31:35,200 Speaker 3: is like a bug zapper, that it can kill you 600 00:31:35,320 --> 00:31:38,920 Speaker 3: very quickly, and most people don't understand that. And it's also, 601 00:31:39,360 --> 00:31:41,920 Speaker 3: as I describe in the book, the sort of primary 602 00:31:42,000 --> 00:31:44,800 Speaker 3: driver of kind of planetary chaos. When we think about 603 00:31:44,800 --> 00:31:46,920 Speaker 3: climate change and we think about sea level rise and 604 00:31:47,080 --> 00:31:50,240 Speaker 3: droughts and hurricanes and all that, all that stuff is 605 00:31:50,280 --> 00:31:53,280 Speaker 3: sort of driven by rising heat levels. So the book 606 00:31:53,280 --> 00:31:56,040 Speaker 3: tries to look at heat on two levels. One what 607 00:31:56,120 --> 00:31:58,440 Speaker 3: it does to your body, What those risks are and 608 00:31:58,440 --> 00:32:01,200 Speaker 3: how it kills you, and the other is how it 609 00:32:01,320 --> 00:32:04,040 Speaker 3: is creating this sort of climate chaos that we're all 610 00:32:04,040 --> 00:32:05,040 Speaker 3: living through right now. 611 00:32:05,160 --> 00:32:09,040 Speaker 1: So you've written on climate for twenty plus years, right, 612 00:32:09,160 --> 00:32:13,280 Speaker 1: I mean your first climate book was in two thousand, right, Acul, Like. 613 00:32:13,200 --> 00:32:15,600 Speaker 3: I've been writing about climate as long as climate has existed. 614 00:32:17,880 --> 00:32:21,360 Speaker 1: Talk to us about how thinking about climate has shifted 615 00:32:21,440 --> 00:32:22,400 Speaker 1: over that period. 616 00:32:22,640 --> 00:32:25,800 Speaker 3: Well, that's an interesting question. So in the very beginning, 617 00:32:26,040 --> 00:32:28,400 Speaker 3: you know, twenty five years ago, that's not the very 618 00:32:28,440 --> 00:32:30,520 Speaker 3: beginning of the climate story. So I just have been 619 00:32:30,560 --> 00:32:34,640 Speaker 3: aware of the risks of climate change for a long time. 620 00:32:34,800 --> 00:32:38,760 Speaker 3: The idea that burning fossil fuels creates CO two that 621 00:32:39,080 --> 00:32:41,760 Speaker 3: will warm the planet, you know, has been known for 622 00:32:41,800 --> 00:32:45,200 Speaker 3: more than one hundred years. None of this is new science. 623 00:32:45,280 --> 00:32:47,600 Speaker 3: But you know, when I started writing about this, like 624 00:32:48,080 --> 00:32:51,160 Speaker 3: more than twenty years ago, you know, it was basically 625 00:32:51,680 --> 00:32:54,600 Speaker 3: this was in the kind of heyday of what was 626 00:32:54,640 --> 00:32:58,240 Speaker 3: called the Greening Earth Society of the big oil companies 627 00:32:58,720 --> 00:33:01,320 Speaker 3: telling you that, you know, more CO two was good 628 00:33:01,320 --> 00:33:04,719 Speaker 3: for the planet. It would make trees grow and plants 629 00:33:04,760 --> 00:33:08,040 Speaker 3: grow faster, so why worry? And then it moors into 630 00:33:08,080 --> 00:33:13,360 Speaker 3: this economic debate where if you believe in human progress 631 00:33:13,400 --> 00:33:16,520 Speaker 3: and you want the betterment of human welfare around the world, 632 00:33:16,560 --> 00:33:19,760 Speaker 3: people need energy, and the cheapest way to create energy 633 00:33:20,160 --> 00:33:22,720 Speaker 3: was by burning fossil fuels. So even if we had 634 00:33:22,720 --> 00:33:26,480 Speaker 3: climate change, you know, what's really important is getting cheap 635 00:33:26,560 --> 00:33:29,280 Speaker 3: at energy people. And that was part of the debate 636 00:33:29,320 --> 00:33:32,400 Speaker 3: for a long time. And now, of course renewable energy, 637 00:33:32,480 --> 00:33:36,360 Speaker 3: non fossil fuel energy is much cheaper than fossil fuel stuff, 638 00:33:36,400 --> 00:33:40,600 Speaker 3: so that argument, the greening Earth society argument is out 639 00:33:40,640 --> 00:33:43,320 Speaker 3: the window now. It become part of the kind of 640 00:33:43,400 --> 00:33:45,800 Speaker 3: culture wars, right, It's become you know, if you're a 641 00:33:45,840 --> 00:33:49,000 Speaker 3: real American, you burn fossil vuels. You know, it's become 642 00:33:49,160 --> 00:33:52,880 Speaker 3: part of that conversation, and the science of it doesn't 643 00:33:53,000 --> 00:33:55,800 Speaker 3: really matter anymore in the broader conversation. 644 00:33:56,120 --> 00:34:02,320 Speaker 1: It's funny because when the pandemic came, husband lapsed, academic 645 00:34:02,760 --> 00:34:05,680 Speaker 1: was like, this is going to be it. Americans are 646 00:34:05,680 --> 00:34:09,959 Speaker 1: going to see that scientists are right and that all 647 00:34:10,040 --> 00:34:17,040 Speaker 1: of these Republicans who you know, have these fabulous views 648 00:34:17,080 --> 00:34:22,240 Speaker 1: on science are just lying to them. A million deaths 649 00:34:22,320 --> 00:34:27,280 Speaker 1: later are probably more plus plus that group never saw 650 00:34:27,480 --> 00:34:30,560 Speaker 1: the In fact, they are trying to prosecute doctor Anthony Fauci. 651 00:34:30,640 --> 00:34:34,920 Speaker 3: Now, yeah, exactly, And I think that's a great analogy. 652 00:34:34,960 --> 00:34:37,600 Speaker 3: And you know, when people ask me what do I 653 00:34:37,760 --> 00:34:40,840 Speaker 3: worry about most when we think about kind of the 654 00:34:40,880 --> 00:34:44,360 Speaker 3: superheated future that we're creating for ourselves, it's exactly that. 655 00:34:44,520 --> 00:34:49,600 Speaker 3: It's the complete pigeonholing of science, the complete attack on 656 00:34:49,680 --> 00:34:53,080 Speaker 3: the very kind of reality, shared reality that we have. 657 00:34:53,239 --> 00:34:56,560 Speaker 3: And the pandemic was a great example of that. We're 658 00:34:56,680 --> 00:35:00,600 Speaker 3: far less well prepared for the next one. We were 659 00:35:00,640 --> 00:35:03,919 Speaker 3: for that one, very well prepared for that. Yeah, there's 660 00:35:03,920 --> 00:35:07,080 Speaker 3: a similar client of dynamic when we talked about climate 661 00:35:07,120 --> 00:35:07,600 Speaker 3: and energy. 662 00:35:07,840 --> 00:35:10,960 Speaker 1: So one of the things I want to talk about 663 00:35:11,160 --> 00:35:14,440 Speaker 1: is the thing that none of us probably could have 664 00:35:14,520 --> 00:35:18,640 Speaker 1: seen in two thousand was that renewables would get so 665 00:35:18,920 --> 00:35:21,960 Speaker 1: cheap they would actually maybe you could have seen it 666 00:35:22,000 --> 00:35:24,560 Speaker 1: because you were totally read in on this, but I 667 00:35:24,600 --> 00:35:28,560 Speaker 1: was twenty one. I want to brag about not being 668 00:35:28,600 --> 00:35:32,040 Speaker 1: as old as my kids think I am. But renewables 669 00:35:32,040 --> 00:35:35,840 Speaker 1: have become very, very cheap, And because they've become so cheap, 670 00:35:36,160 --> 00:35:41,120 Speaker 1: this has made it harder and harder to message their destruction. 671 00:35:41,440 --> 00:35:44,720 Speaker 1: Am I correct? And they've sort of found a way anyway. 672 00:35:44,719 --> 00:35:46,600 Speaker 3: What do you mean message their destruction? 673 00:35:47,040 --> 00:35:50,800 Speaker 1: So the right hates renewables and it's terrified, But oil 674 00:35:50,840 --> 00:35:54,440 Speaker 1: and gas companies need to make a case that renewables 675 00:35:54,640 --> 00:35:56,640 Speaker 1: aren't as good as oil and gas, and they're having 676 00:35:56,680 --> 00:35:59,840 Speaker 1: a harder and harder time making it. And now they've 677 00:36:00,120 --> 00:36:02,560 Speaker 1: know they have this new thing. It's not either or, 678 00:36:02,960 --> 00:36:06,479 Speaker 1: it's and right because the thinking is, let's just keep 679 00:36:06,520 --> 00:36:09,280 Speaker 1: oil and gas around as long as we can, because 680 00:36:09,320 --> 00:36:12,200 Speaker 1: eventually renewables are going to be so cheap oil and 681 00:36:12,200 --> 00:36:13,440 Speaker 1: gas isnt going to be able to thrive. 682 00:36:13,680 --> 00:36:16,880 Speaker 3: Yes, absolutely, And you know I live in Austin, Texas. 683 00:36:16,960 --> 00:36:19,400 Speaker 3: You know, it's the belly of the fossil fuel beast, 684 00:36:19,560 --> 00:36:22,040 Speaker 3: and I spend a lot of time around oil and 685 00:36:22,080 --> 00:36:25,640 Speaker 3: gas people that way, and into my own reporting, it's 686 00:36:25,760 --> 00:36:27,840 Speaker 3: very clear that everybody who works in the oil and 687 00:36:27,880 --> 00:36:31,480 Speaker 3: gas industry knows that they are the whale oil of 688 00:36:31,520 --> 00:36:36,160 Speaker 3: our time. They know that their horizon is limited, that 689 00:36:36,280 --> 00:36:39,399 Speaker 3: they are not going to be around in the same 690 00:36:39,520 --> 00:36:41,880 Speaker 3: way that they have been to the last century in 691 00:36:41,920 --> 00:36:44,080 Speaker 3: the next few decades. So now there's this sort of 692 00:36:44,200 --> 00:36:49,680 Speaker 3: end game going on that is very powerful and very dangerous. 693 00:36:50,239 --> 00:36:55,600 Speaker 3: It's really about squeezing the last profits out of their reserves, 694 00:36:55,640 --> 00:37:01,799 Speaker 3: squeezing the last profits out of their investments, and dragging 695 00:37:01,880 --> 00:37:05,799 Speaker 3: out this inevitable transition as long as possible. Which you 696 00:37:05,880 --> 00:37:08,360 Speaker 3: might say, oh, well, what's the problem with that. So 697 00:37:08,960 --> 00:37:11,279 Speaker 3: instead of getting off of fossil fuels in ten years, 698 00:37:11,320 --> 00:37:14,319 Speaker 3: when we get off fossil fuels in thirty or forty years, Well, 699 00:37:14,320 --> 00:37:16,960 Speaker 3: the problem with that is that's a differension between a 700 00:37:17,040 --> 00:37:20,040 Speaker 3: kind of warming world that we can kind of manage, 701 00:37:20,400 --> 00:37:24,600 Speaker 3: and that warming world that where we have all hell 702 00:37:24,680 --> 00:37:28,400 Speaker 3: breaking loose, where we have inevitable collapses of ice sheets, 703 00:37:28,400 --> 00:37:31,200 Speaker 3: where we have one hundred and thirty degree extreme heat waves, 704 00:37:31,239 --> 00:37:35,440 Speaker 3: where we have mass deaths from these heat waves, where 705 00:37:35,440 --> 00:37:39,000 Speaker 3: we have changing disease patterns of malaria and all these 706 00:37:39,040 --> 00:37:42,160 Speaker 3: kinds of vector board diseases. I mean, there's a kind 707 00:37:42,200 --> 00:37:46,120 Speaker 3: of level of climate chaos that is inevitable if we 708 00:37:46,360 --> 00:37:51,400 Speaker 3: continue burning fossil fuels for several more decades. So this 709 00:37:51,600 --> 00:37:55,680 Speaker 3: really is a question of purgency and speed. And that's 710 00:37:55,760 --> 00:37:59,600 Speaker 3: why this conversation right now is it's so important when 711 00:37:59,640 --> 00:38:01,799 Speaker 3: we take about, you know, the kind of world we want. 712 00:38:01,719 --> 00:38:04,880 Speaker 1: To live in and I would add, we've already crossed 713 00:38:04,880 --> 00:38:07,120 Speaker 1: the rubicon to things being pretty bad. 714 00:38:07,440 --> 00:38:10,920 Speaker 3: We have, although I would argue that there's no real rubicon. 715 00:38:11,280 --> 00:38:15,480 Speaker 1: Oh interesting, Yeah, those two degree projections or one degree 716 00:38:15,560 --> 00:38:18,680 Speaker 1: or one and a half degree, even those projections are 717 00:38:19,040 --> 00:38:20,640 Speaker 1: a radically different world. 718 00:38:20,840 --> 00:38:23,920 Speaker 3: Absolutely, And one of the big truths is that you know, 719 00:38:23,960 --> 00:38:26,640 Speaker 3: the world that you know, you and I grew up in, 720 00:38:26,880 --> 00:38:28,920 Speaker 3: the climate that you and I grew up in, is gone, 721 00:38:29,200 --> 00:38:32,160 Speaker 3: and we are not going back to that climate. The 722 00:38:32,239 --> 00:38:35,520 Speaker 3: question is how bad is it going to get into 723 00:38:35,560 --> 00:38:37,760 Speaker 3: how different is it going to be in the future. 724 00:38:38,040 --> 00:38:40,440 Speaker 3: And I pushed back on the rubicon idea a little 725 00:38:40,440 --> 00:38:43,880 Speaker 3: bit because this notion of a tipping point, it's like, oh, 726 00:38:43,960 --> 00:38:46,279 Speaker 3: we're fine until we get to one point five C 727 00:38:47,040 --> 00:38:49,440 Speaker 3: or through C or you know one translate that into 728 00:38:49,480 --> 00:38:51,680 Speaker 3: fahrenheit three and a half de greece paraanhede of warming, 729 00:38:51,760 --> 00:38:54,600 Speaker 3: and then all of a sudden, oh, the world collapses. 730 00:38:54,800 --> 00:38:56,640 Speaker 3: You know, let's just go to the beach and party 731 00:38:56,680 --> 00:38:59,960 Speaker 3: because we're all screwed. Right. There are certainly tipping point 732 00:39:00,040 --> 00:39:03,320 Speaker 3: it's for particular ecosystems. There's a tipping point for the 733 00:39:03,360 --> 00:39:05,239 Speaker 3: West end Arctic ice sheet. There's a tipping point for 734 00:39:05,280 --> 00:39:08,799 Speaker 3: the Amazon rainforest. There's a tipping point for the insurance 735 00:39:08,840 --> 00:39:10,759 Speaker 3: industry in Florida, you know, but. 736 00:39:11,040 --> 00:39:13,200 Speaker 1: Yes, which has take exactly. 737 00:39:13,320 --> 00:39:16,080 Speaker 3: Yeah, So there's all these sort of baller tipping points. 738 00:39:16,160 --> 00:39:19,319 Speaker 3: But the real truth is that you know, every ton 739 00:39:19,520 --> 00:39:22,520 Speaker 3: of CO two that we keep out of the atmosphere, 740 00:39:22,719 --> 00:39:25,600 Speaker 3: you know, reduces the warming a little bit, reduces the 741 00:39:25,680 --> 00:39:28,400 Speaker 3: impacts a little bit. Everyone that we add makes it 742 00:39:28,440 --> 00:39:31,160 Speaker 3: a little bit worse. There is no moment when we're 743 00:39:31,200 --> 00:39:33,880 Speaker 3: just all fucked and we may as well just give up. 744 00:39:34,040 --> 00:39:37,920 Speaker 1: Right, And I think that case against nihilism is really important. 745 00:39:38,280 --> 00:39:41,279 Speaker 1: The right and the oil companies and the people who 746 00:39:41,680 --> 00:39:44,360 Speaker 1: want to sell you this want you to feel that 747 00:39:44,480 --> 00:39:47,960 Speaker 1: it's a situation that's unfixable, or that it's a situation 748 00:39:48,040 --> 00:39:50,160 Speaker 1: that you have no control over, and that is not true. 749 00:39:50,360 --> 00:39:52,520 Speaker 3: It's not And it's also just to continue this thought 750 00:39:52,520 --> 00:39:54,840 Speaker 3: that it's also not true. What the oil companies the 751 00:39:54,960 --> 00:39:57,640 Speaker 3: right are trying to sell right now is that yes, 752 00:39:57,760 --> 00:40:00,359 Speaker 3: we even they would admit that, you know, renewable are 753 00:40:00,640 --> 00:40:04,560 Speaker 3: you know, solar and wind and hydrogen and all these 754 00:40:04,560 --> 00:40:07,560 Speaker 3: things are part of our future. But we can't go 755 00:40:07,760 --> 00:40:10,680 Speaker 3: too fast because our economy is so fragile, and if 756 00:40:10,680 --> 00:40:13,160 Speaker 3: we try to shift too soon, we're going to collapse 757 00:40:13,200 --> 00:40:16,520 Speaker 3: our economy. Renewables aren't cheap enough yet, they're not ready enough. 758 00:40:16,560 --> 00:40:19,080 Speaker 3: We can't do it. Well, that's all bullshit. I mean, 759 00:40:19,160 --> 00:40:21,960 Speaker 3: we have all of the technology we need to make 760 00:40:22,000 --> 00:40:26,680 Speaker 3: this transition very quickly. Nobody's arguing that we like shut 761 00:40:26,719 --> 00:40:29,960 Speaker 3: off all fossil fuels tomorrow. But you know, we can 762 00:40:30,000 --> 00:40:33,640 Speaker 3: make this transition much much faster. And the scare tastics 763 00:40:33,640 --> 00:40:36,360 Speaker 3: that the right and big oil and things are using 764 00:40:36,400 --> 00:40:39,560 Speaker 3: now are all about this sort of economic doom that 765 00:40:39,680 --> 00:40:42,520 Speaker 3: if we do this too fast, we're going to fuck 766 00:40:42,560 --> 00:40:43,320 Speaker 3: everything up. 767 00:40:43,480 --> 00:40:45,880 Speaker 1: Right, And that's I mean, and you hear Trump they 768 00:40:45,920 --> 00:40:49,080 Speaker 1: want to take away your cars, right right, that's an 769 00:40:49,200 --> 00:40:53,440 Speaker 1: easy scare tactic. Can you explain to us where methane 770 00:40:53,760 --> 00:40:57,000 Speaker 1: falls in this whole continuum of warming? 771 00:40:57,320 --> 00:41:01,439 Speaker 3: Sure, methane is you know, basically essentially the same as 772 00:41:01,840 --> 00:41:05,560 Speaker 3: natural gas or fossil gas. You know, you asked me 773 00:41:05,600 --> 00:41:09,399 Speaker 3: about how the discussion about climate energy has changed over time, 774 00:41:09,520 --> 00:41:12,960 Speaker 3: and twenty years ago, the big bad fossil fuel was 775 00:41:13,000 --> 00:41:16,440 Speaker 3: coal because it's the most carbon intense and for all 776 00:41:16,440 --> 00:41:19,040 Speaker 3: intensive purposes. You know, we're not building more coal plants 777 00:41:19,080 --> 00:41:22,799 Speaker 3: in America. Coal uses down globally, and it's down very 778 00:41:22,800 --> 00:41:24,239 Speaker 3: fast in the Ued States. 779 00:41:23,920 --> 00:41:25,640 Speaker 1: Because it's so expensive. 780 00:41:26,000 --> 00:41:28,319 Speaker 3: It's so expensive and it's so hard to do. It's 781 00:41:28,320 --> 00:41:30,320 Speaker 3: i cost so much money to build a coal pland 782 00:41:30,320 --> 00:41:32,919 Speaker 3: and you have trains and mines. It's just like it's 783 00:41:32,960 --> 00:41:36,560 Speaker 3: just also the nineteenth century. You know, you're crushing rocks 784 00:41:36,600 --> 00:41:38,160 Speaker 3: to burn them, you know what I mean. It's just 785 00:41:38,200 --> 00:41:40,799 Speaker 3: like it's so primitive. But so for a long time, 786 00:41:40,880 --> 00:41:42,920 Speaker 3: there was this idea that, oh, we're going to shift 787 00:41:42,920 --> 00:41:46,120 Speaker 3: from coal to gas, and the gas is the phrase 788 00:41:46,239 --> 00:41:48,600 Speaker 3: was bridged to the future. So there was this whole 789 00:41:48,640 --> 00:41:51,040 Speaker 3: notion that, well, we'll replace these coal plants with gas 790 00:41:51,040 --> 00:41:53,520 Speaker 3: and that'll be a big step forward, and then eventually 791 00:41:53,520 --> 00:41:56,000 Speaker 3: we'll replace the gas plants with toler and wind and everything, 792 00:41:56,080 --> 00:41:59,879 Speaker 3: and it'll the bias time for renewables to become cheap 793 00:41:59,880 --> 00:42:03,719 Speaker 3: and enough and technologically sophisticated enough to run our world. Well, 794 00:42:03,760 --> 00:42:07,040 Speaker 3: that is bullshit. Also, the problem with gas and methane 795 00:42:07,120 --> 00:42:09,279 Speaker 3: right now is that a lot of First of all, 796 00:42:09,280 --> 00:42:12,160 Speaker 3: a lot of new research has shown that in fact, 797 00:42:13,320 --> 00:42:18,840 Speaker 3: gas is not more climate safe than coal because methane 798 00:42:18,920 --> 00:42:21,640 Speaker 3: or gas if it leaks out of pipelines or out 799 00:42:21,640 --> 00:42:25,160 Speaker 3: of power plants, are out of drol heads or well heads. 800 00:42:25,480 --> 00:42:28,560 Speaker 3: It's a forty times more potent gas than CO two, 801 00:42:28,680 --> 00:42:31,279 Speaker 3: so the warming potential is huge, and there's a lot 802 00:42:31,320 --> 00:42:33,640 Speaker 3: of leaks. They've just launched a bunch of satellites to 803 00:42:33,680 --> 00:42:37,200 Speaker 3: help detect these fleaks and they're enormous. So that's one thing. 804 00:42:37,280 --> 00:42:39,680 Speaker 3: And the other thing is is infrastructure that's being built 805 00:42:39,800 --> 00:42:43,719 Speaker 3: for these gas plants, which is something that Biden just 806 00:42:43,800 --> 00:42:47,880 Speaker 3: recently alted the pause that permits for these liquified natural 807 00:42:47,920 --> 00:42:50,640 Speaker 3: gas plants to ship this stuff overseas. They know that 808 00:42:50,640 --> 00:42:52,239 Speaker 3: this step is going to be around for forty or 809 00:42:52,320 --> 00:42:55,520 Speaker 3: fifty years, so it's like building in the next generation 810 00:42:55,640 --> 00:43:00,120 Speaker 3: of fossil fuel infrastructure. And the argument is, well, are 811 00:43:00,120 --> 00:43:03,000 Speaker 3: we doing that because we know we have renewables, we 812 00:43:03,120 --> 00:43:06,719 Speaker 3: know they're cheaper, we know that you know they don't 813 00:43:06,760 --> 00:43:09,760 Speaker 3: have any of the kind of impacts that the gas has, 814 00:43:09,800 --> 00:43:12,239 Speaker 3: So why are we wasting our time and money with 815 00:43:12,560 --> 00:43:14,680 Speaker 3: this building this whole new gas infrasture. 816 00:43:15,160 --> 00:43:15,600 Speaker 1: Yeah? 817 00:43:15,640 --> 00:43:18,719 Speaker 3: Why, Well, because of political power. It's all apologic. 818 00:43:19,000 --> 00:43:22,840 Speaker 1: So let's talk about something that my husband is obsessed 819 00:43:22,840 --> 00:43:25,319 Speaker 1: with He told me about it, and now it is 820 00:43:25,480 --> 00:43:32,080 Speaker 1: like my top ten anxiety scenarios. Wet bulb heat. Explain 821 00:43:32,200 --> 00:43:35,760 Speaker 1: to us about wet bulb heat because this is really 822 00:43:35,760 --> 00:43:36,600 Speaker 1: fucking scary. 823 00:43:36,960 --> 00:43:40,640 Speaker 3: Yeah, okay, So wet bulb heat is essentially a measure 824 00:43:40,880 --> 00:43:44,640 Speaker 3: of heat and humidity combined. It's not so different than 825 00:43:44,760 --> 00:43:49,360 Speaker 3: than sort of heat index. There's another level of flexiting 826 00:43:49,440 --> 00:43:53,040 Speaker 3: this called the global wet bulb temperature, which takes into 827 00:43:53,080 --> 00:43:55,840 Speaker 3: account the amount of sunlight and wind speed and things 828 00:43:55,880 --> 00:43:59,640 Speaker 3: like that. But the idea is when we talk about temperature, 829 00:44:00,080 --> 00:44:02,040 Speaker 3: you know, that's just the sort of ambient temperature in 830 00:44:02,040 --> 00:44:04,439 Speaker 3: the air. What really matters is what that temperature means 831 00:44:04,480 --> 00:44:07,520 Speaker 3: to our bodies and how our bodies function in these 832 00:44:07,600 --> 00:44:12,399 Speaker 3: kinds of rising temperatures. And wet bulb temperature is an 833 00:44:12,440 --> 00:44:16,839 Speaker 3: idea that was actually sort of discovered or figured out 834 00:44:17,000 --> 00:44:20,680 Speaker 3: in the early twentieth century by some research groups who 835 00:44:20,680 --> 00:44:24,160 Speaker 3: are looking at why coal miners who were deep underground 836 00:44:24,200 --> 00:44:27,080 Speaker 3: were suffering from heat exhaustion and heat strokes, and they 837 00:44:27,400 --> 00:44:30,440 Speaker 3: came to understand that humidity as a big impact on 838 00:44:30,520 --> 00:44:33,360 Speaker 3: how we register temperature, because you know, think about it, 839 00:44:33,400 --> 00:44:37,160 Speaker 3: the only way that our bodies can release heat is 840 00:44:37,200 --> 00:44:38,960 Speaker 3: by sweat. When it gets hot, we sweat, and that 841 00:44:39,600 --> 00:44:42,879 Speaker 3: sweat takes the heat away from our bodies, dissipates it out, 842 00:44:42,880 --> 00:44:44,600 Speaker 3: and that's how we cool off. It's we're kind of 843 00:44:44,719 --> 00:44:48,200 Speaker 3: radiator system and that works at the air temperature is dry, 844 00:44:48,280 --> 00:44:50,960 Speaker 3: and the more humid it gets, the more difficulty it 845 00:44:51,120 --> 00:44:54,759 Speaker 3: is for that sweat to evaporate, and wet bulb temperature 846 00:44:54,880 --> 00:44:58,480 Speaker 3: tries to give you a reading of that. So the 847 00:44:58,600 --> 00:45:01,719 Speaker 3: higher the wet bulb temperature, the more humidity is in 848 00:45:01,760 --> 00:45:06,080 Speaker 3: the air, the more difficulty you have evaporating the sweat. 849 00:45:06,120 --> 00:45:08,920 Speaker 3: And that's why everyone knows who's been. If you've been 850 00:45:08,960 --> 00:45:11,759 Speaker 3: to Arizona and it's hundred degrees, it's very different than 851 00:45:11,800 --> 00:45:15,320 Speaker 3: being in Miami when it's d degrees. The Pope or 852 00:45:15,360 --> 00:45:18,160 Speaker 3: something like that. And the reason it's scary and dangerous 853 00:45:18,280 --> 00:45:22,239 Speaker 3: is because there are relatively low levels of If you 854 00:45:22,239 --> 00:45:26,120 Speaker 3: have a high wet bult temperature, which means the air 855 00:45:26,160 --> 00:45:28,400 Speaker 3: temperature might only be in the eighties or nineties, but 856 00:45:28,440 --> 00:45:31,160 Speaker 3: you have a high high eye levels of humidity, those 857 00:45:31,200 --> 00:45:34,319 Speaker 3: can be very very dangerous very quickly. And there's a 858 00:45:34,320 --> 00:45:38,800 Speaker 3: threshold of around ninety five degrees wet bul temperature where 859 00:45:39,160 --> 00:45:42,400 Speaker 3: even a healthy human outdoors, you know, for five or 860 00:45:42,480 --> 00:45:45,759 Speaker 3: six hours will die. Our bodies will just overheat. It's 861 00:45:45,800 --> 00:45:49,399 Speaker 3: like the turkey cooking levels for humans, you know. And 862 00:45:49,680 --> 00:45:53,279 Speaker 3: parts of the world are approaching that now already, and 863 00:45:53,719 --> 00:45:56,400 Speaker 3: you know, we're certainly heading in that direction. And in 864 00:45:56,440 --> 00:45:58,720 Speaker 3: my book I talked about this idea of the Goldilog zone. 865 00:45:58,719 --> 00:46:02,160 Speaker 3: But all living things on Earth evolved a function in 866 00:46:02,200 --> 00:46:04,759 Speaker 3: this certain threshold of temperature. And when we get to 867 00:46:04,760 --> 00:46:07,360 Speaker 3: these wet bolt temperatures in the nineties, we are getting 868 00:46:07,400 --> 00:46:11,000 Speaker 3: out of the Goldilock zone. And that's when we either 869 00:46:11,400 --> 00:46:14,279 Speaker 3: get somewhere cooler quickly or we die. It's very shutforward. 870 00:46:14,440 --> 00:46:16,719 Speaker 1: See, Now, this is a really good thing to be 871 00:46:16,760 --> 00:46:17,520 Speaker 1: anxious about. 872 00:46:18,440 --> 00:46:20,360 Speaker 3: Yes, it is a good thing to be anxious. 873 00:46:20,560 --> 00:46:22,759 Speaker 1: Not to pat myself on the back here, but this 874 00:46:22,920 --> 00:46:25,440 Speaker 1: is actually a real fucking problem, and there are parts 875 00:46:25,880 --> 00:46:30,120 Speaker 1: of this world where we're going to see this temperature soon. 876 00:46:30,400 --> 00:46:32,480 Speaker 3: Well, I'm really glad you say that this is a 877 00:46:32,719 --> 00:46:34,880 Speaker 3: real fucking problem, because it really is. Because there's a 878 00:46:34,920 --> 00:46:37,719 Speaker 3: lot of people who say, well, why are you worried 879 00:46:37,719 --> 00:46:40,440 Speaker 3: about this? You have air conditioning, you know, you'll be okay, 880 00:46:40,719 --> 00:46:42,319 Speaker 3: just crank it up a little bit more and just 881 00:46:42,360 --> 00:46:44,839 Speaker 3: don't go outside when it's really oh and okay, great, 882 00:46:44,880 --> 00:46:47,120 Speaker 3: that's fine maybe for you and for me on a 883 00:46:47,160 --> 00:46:50,160 Speaker 3: particular day. But the first of all, the op ed 884 00:46:50,200 --> 00:46:52,760 Speaker 3: I wrote earlier this week in The Times talks about 885 00:46:53,080 --> 00:46:56,920 Speaker 3: how places that are more dependent upon air conditioning, like Phoenix, 886 00:46:56,960 --> 00:46:59,799 Speaker 3: where you have virtually one hundred percent air conditioning, are 887 00:47:00,080 --> 00:47:02,440 Speaker 3: probably be vulnerable when you have a blackout, right, And 888 00:47:02,760 --> 00:47:05,759 Speaker 3: you know, heat waves stress the grid because everybodystrom their 889 00:47:05,760 --> 00:47:08,759 Speaker 3: air conditioning on and it makes the mechanics of the 890 00:47:08,760 --> 00:47:11,640 Speaker 3: grid more fragile. Things like that. So blackouts are much 891 00:47:11,680 --> 00:47:13,600 Speaker 3: more likely during heat waves. And if you have a 892 00:47:13,640 --> 00:47:16,040 Speaker 3: big blackout during a heat wave in a highly air 893 00:47:16,080 --> 00:47:20,080 Speaker 3: conditioned city, you have mass deaths suddenly. I mean, this 894 00:47:20,160 --> 00:47:23,480 Speaker 3: study that that I cided show thirteen more than thirteen 895 00:47:23,520 --> 00:47:27,440 Speaker 3: thousand people dying in Phoenix within forty eight hours with 896 00:47:27,560 --> 00:47:30,640 Speaker 3: a blackout during a high heat wave event. And so 897 00:47:31,200 --> 00:47:34,360 Speaker 3: this idea of a heat wave that air conditioning is 898 00:47:34,440 --> 00:47:36,520 Speaker 3: going to save us, it's like this sort of damicles 899 00:47:36,520 --> 00:47:37,600 Speaker 3: hanging over ahead. 900 00:47:37,719 --> 00:47:40,920 Speaker 1: You know, you know, there are people day labors in 901 00:47:41,040 --> 00:47:45,000 Speaker 1: Dubai who are going to die, maybe before the people 902 00:47:45,360 --> 00:47:50,000 Speaker 1: in Phoenix, though not necessarily, right, but ultimately we're all 903 00:47:50,040 --> 00:47:52,080 Speaker 1: going to die of this if it gets hot enough. 904 00:47:52,280 --> 00:47:53,839 Speaker 3: Yeah, I mean there are se one hundred and fifty 905 00:47:53,840 --> 00:47:56,719 Speaker 3: million people on the planet who don't have access to electricity, 906 00:47:56,880 --> 00:48:00,680 Speaker 3: much less air conditioning. Right. And also, we're not going 907 00:48:00,719 --> 00:48:04,000 Speaker 3: to air condition the oceans, so you know, as they 908 00:48:04,040 --> 00:48:06,759 Speaker 3: heat up, are already dying off in there that you know, 909 00:48:06,840 --> 00:48:09,959 Speaker 3: we've had the fourth mass coral bleaching event this year. 910 00:48:10,120 --> 00:48:12,640 Speaker 3: We're not going to air condition the forests where you know, 911 00:48:12,680 --> 00:48:15,400 Speaker 3: we have how their monkeys dropping out of trees, and 912 00:48:15,400 --> 00:48:18,000 Speaker 3: then right now in Mexico because of extreme heat waves 913 00:48:18,000 --> 00:48:20,080 Speaker 3: that are just dropping dead out of the forest. We're 914 00:48:20,080 --> 00:48:22,440 Speaker 3: not going to air condition the fields where you know, 915 00:48:22,440 --> 00:48:25,600 Speaker 3: their food crops grow, so we're gonna have crop failures, 916 00:48:25,600 --> 00:48:28,200 Speaker 3: which is going to lead to political problems and all that. 917 00:48:28,520 --> 00:48:32,440 Speaker 3: So this is a much bigger problem than just something 918 00:48:32,719 --> 00:48:35,520 Speaker 3: like well, just get a better air conditioner everything, you'll 919 00:48:35,560 --> 00:48:36,120 Speaker 3: be fine. 920 00:48:36,320 --> 00:48:38,520 Speaker 1: Thank you, Jeff, just horrifying us. 921 00:48:39,000 --> 00:48:47,000 Speaker 3: Well, thanks for indulging in that order. Molly, no moment fuck. 922 00:48:48,000 --> 00:48:49,879 Speaker 1: I would like a moment of fuck. 923 00:48:50,040 --> 00:48:52,680 Speaker 4: Right, Well, is gentleman, this Moment of Fuckery is brought 924 00:48:52,680 --> 00:48:57,640 Speaker 4: to you by Harlan Crow Sugar down Each to the stars. Look, 925 00:48:57,800 --> 00:49:01,280 Speaker 4: Clarence Thomas has now been revealed to have accepted four 926 00:49:01,920 --> 00:49:08,800 Speaker 4: million dollars in gifts, in perks and trips and visits 927 00:49:08,800 --> 00:49:11,320 Speaker 4: to the Bohemian Grove. Not on, I said, Alex Jones's 928 00:49:11,320 --> 00:49:15,280 Speaker 4: brain on a fact, four million dollars. He's the only 929 00:49:15,520 --> 00:49:19,600 Speaker 4: member of the Supreme Court where there are five zeros 930 00:49:19,640 --> 00:49:23,600 Speaker 4: after the numbers of these gifts. He is corrupt. He 931 00:49:23,719 --> 00:49:28,279 Speaker 4: has been corrupted. This is an obvious ethical violation. No 932 00:49:28,480 --> 00:49:31,759 Speaker 4: other member of the Court is even in the ballpark 933 00:49:32,440 --> 00:49:36,240 Speaker 4: of accepting this kind of billionaire largesse. And I'm sorry 934 00:49:36,600 --> 00:49:40,319 Speaker 4: for people who are diehard Clearance Thomas stands. This guy 935 00:49:40,880 --> 00:49:44,880 Speaker 4: is corrupt. And if this was again, if this was 936 00:49:45,480 --> 00:49:49,200 Speaker 4: flip the script, if Katanji Brown Jackson was taking five 937 00:49:49,280 --> 00:49:54,200 Speaker 4: hundred thousand dollars vacations with George Sorows, the Republicans would 938 00:49:54,280 --> 00:49:57,520 Speaker 4: burn down Washington to the driver out of the court. 939 00:49:57,719 --> 00:49:59,680 Speaker 4: This is my moment of fuckery. 940 00:50:00,040 --> 00:50:02,360 Speaker 1: Amazing, Thank you, Rick Wilson. 941 00:50:02,920 --> 00:50:05,759 Speaker 4: As always, the pleasure is mine. 942 00:50:06,480 --> 00:50:09,839 Speaker 1: That's it for this episode of Fast Politics. Tune in 943 00:50:09,880 --> 00:50:13,080 Speaker 1: every Monday, Wednesday and Friday to hear the best minds 944 00:50:13,080 --> 00:50:16,320 Speaker 1: in politics makes sense of all this chaos. If you 945 00:50:16,440 --> 00:50:19,120 Speaker 1: enjoyed what you've heard, please send it to a friend 946 00:50:19,160 --> 00:50:22,720 Speaker 1: and keep the conversation going. And again, thanks for listening.