1 00:00:00,640 --> 00:00:04,160 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,400 --> 00:00:07,120 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:12,480 Speaker 1: today's best minds, and House Minority Leader Jeffries and Senator 4 00:00:12,560 --> 00:00:17,119 Speaker 1: Booker have begun a sit in protest on the capital steps. 5 00:00:17,400 --> 00:00:20,880 Speaker 1: We have such a great show for you today to 6 00:00:21,000 --> 00:00:25,120 Speaker 1: the Contrary Newsletter author Charlie Seike stops by to talk 7 00:00:25,160 --> 00:00:29,800 Speaker 1: about Trump's first one hundred days changing America. Then we'll 8 00:00:29,840 --> 00:00:36,000 Speaker 1: talk to the Up and Up founder Rachel Jafonza about 9 00:00:36,040 --> 00:00:40,360 Speaker 1: the divide in gen Z voting and the complicated landscape 10 00:00:40,360 --> 00:00:44,000 Speaker 1: of their support and criticism of Trump. But first the news. 11 00:00:44,440 --> 00:00:49,440 Speaker 2: My mister Trump makes big claims about deals. He loves deals, 12 00:00:49,720 --> 00:00:52,239 Speaker 2: and he claims he's made two hundred deals on tariffs, 13 00:00:52,400 --> 00:00:54,840 Speaker 2: but his cabinet members can't name a single one. 14 00:00:55,120 --> 00:01:00,360 Speaker 1: Yeah, yet another moment of scott Essen embarrassing himself for Trump. 15 00:01:00,680 --> 00:01:06,360 Speaker 1: Both scott Essen and Agriculture Secretary of Brook Rollins were 16 00:01:06,520 --> 00:01:11,920 Speaker 1: asked what these trade agreements were, What these trade deals were. 17 00:01:12,000 --> 00:01:16,039 Speaker 1: You'll remember that Peter Navarro said during this ninety day 18 00:01:16,160 --> 00:01:19,360 Speaker 1: pause he would make ninety trade deals. Guess how many 19 00:01:19,400 --> 00:01:25,160 Speaker 1: trade deals he's made? Not ninety? In fact, they announced 20 00:01:25,200 --> 00:01:27,640 Speaker 1: they were doing one with Japan, and then Japan said no, 21 00:01:27,880 --> 00:01:31,840 Speaker 1: they weren't. They announced they were doing one with India. 22 00:01:32,080 --> 00:01:35,840 Speaker 1: Maybe maybe not, we don't know. But you know, we 23 00:01:35,959 --> 00:01:39,040 Speaker 1: don't have ninety of them. We don't even have twenty 24 00:01:39,080 --> 00:01:42,320 Speaker 1: of them, and we certainly don't have two hundred of them. 25 00:01:42,840 --> 00:01:47,720 Speaker 1: So watching yet another member of Trump's administration try to 26 00:01:47,800 --> 00:01:53,440 Speaker 1: defend what is clearly a mistruth, an alternative fact. 27 00:01:54,440 --> 00:01:58,720 Speaker 2: Yes, yes, fake news. So DOGE is claiming it saved 28 00:01:58,920 --> 00:02:01,800 Speaker 2: one hundred and sixty billion dollars in the wall receipts. 29 00:02:02,000 --> 00:02:04,840 Speaker 2: But those cuts of cost taxpayers one hundred and thirty 30 00:02:04,840 --> 00:02:06,880 Speaker 2: five billion, one analysis says. 31 00:02:07,320 --> 00:02:13,880 Speaker 1: So they're tallying the costs for federal employees placed on leave, rehired, 32 00:02:14,000 --> 00:02:19,520 Speaker 1: mistakenly fired federal employees, and lost productivity. So you'll remember 33 00:02:19,560 --> 00:02:23,720 Speaker 1: that Doage went in and it fired many people, including 34 00:02:24,320 --> 00:02:28,000 Speaker 1: like people like the remember when they fired all the 35 00:02:28,160 --> 00:02:32,360 Speaker 1: air traffic controllers. They sent that email, the form email 36 00:02:32,440 --> 00:02:35,079 Speaker 1: that was like what do you even do here? And 37 00:02:35,160 --> 00:02:39,000 Speaker 1: then they had to rehire a lot of people. My favorite, though, 38 00:02:39,120 --> 00:02:43,280 Speaker 1: is still his say five things you did this week? Email? 39 00:02:43,360 --> 00:02:46,920 Speaker 1: Remember that? And then some people were told they couldn't 40 00:02:46,960 --> 00:02:51,040 Speaker 1: respond because you know, if you're in the State Department 41 00:02:51,200 --> 00:02:55,160 Speaker 1: slash CIA, you're really not supposed to send an email 42 00:02:55,240 --> 00:02:57,160 Speaker 1: saying the five things you did. 43 00:02:57,639 --> 00:03:03,399 Speaker 2: Me say these five classified fact Well, espionage cross borders 44 00:03:03,480 --> 00:03:04,079 Speaker 2: things like that. 45 00:03:04,440 --> 00:03:07,960 Speaker 1: Even if you're like working on a sort of prosecutorial 46 00:03:08,480 --> 00:03:11,480 Speaker 1: thing and you you know, you're talking about cases or 47 00:03:11,520 --> 00:03:13,919 Speaker 1: things that are sensitive or that you know, and you're 48 00:03:13,919 --> 00:03:17,200 Speaker 1: putting that in a mass email to a guy called 49 00:03:17,240 --> 00:03:20,360 Speaker 1: big Balls, who's going to maybe read it. They said, well, 50 00:03:20,440 --> 00:03:23,320 Speaker 1: it's going to get read by AI. I mean, there's 51 00:03:23,320 --> 00:03:26,320 Speaker 1: a lot to support that this is all completely insane. 52 00:03:26,480 --> 00:03:30,800 Speaker 1: So Doe turns out the savings is greatly reduced by 53 00:03:30,840 --> 00:03:32,359 Speaker 1: the fact that it's so expensive. 54 00:03:33,040 --> 00:03:36,800 Speaker 2: Yeah, I'm so shocked to hear that this incompetent loser 55 00:03:37,280 --> 00:03:39,920 Speaker 2: messed something up. Anyway, I got a question from a 56 00:03:39,960 --> 00:03:43,160 Speaker 2: friend this week. He said, who is the person who's 57 00:03:43,240 --> 00:03:46,280 Speaker 2: the most crazed and Trump's administration? I said, are we 58 00:03:46,320 --> 00:03:48,680 Speaker 2: just qualifying Trump? And I how is forced to stay 59 00:03:48,840 --> 00:03:51,960 Speaker 2: Stephen Miller And this quote right here, it kind of 60 00:03:52,080 --> 00:03:54,160 Speaker 2: is evidence of my theory. 61 00:03:54,560 --> 00:03:59,000 Speaker 1: Stephen Miller unveils bizarre new attack on birthright citizenship. They 62 00:03:59,120 --> 00:04:02,240 Speaker 1: really hate birth right citizenship. They really want to get 63 00:04:02,280 --> 00:04:05,119 Speaker 1: rid of it. It's going to the Supreme Court. This 64 00:04:05,200 --> 00:04:07,800 Speaker 1: is not the brain child of Steven Miller. This is 65 00:04:07,880 --> 00:04:11,400 Speaker 1: like one of these conservative cooked up in a sea 66 00:04:11,520 --> 00:04:16,160 Speaker 1: pack like thought community experiment. So here's the quote, though, 67 00:04:16,200 --> 00:04:19,600 Speaker 1: the biggest financial ripoff of Americans in history, not to 68 00:04:19,640 --> 00:04:23,040 Speaker 1: mention the fact that it is one magnet for I 69 00:04:23,120 --> 00:04:27,040 Speaker 1: legal immigration and invasion. So his idea is that people 70 00:04:27,320 --> 00:04:32,640 Speaker 1: come to this country have children so that they can 71 00:04:32,800 --> 00:04:36,400 Speaker 1: get whatever the little bit of money you get for 72 00:04:36,640 --> 00:04:40,159 Speaker 1: having children who are citizens. I mean, the whole idea 73 00:04:40,240 --> 00:04:42,280 Speaker 1: here is like I mean, I just want to pull 74 00:04:42,320 --> 00:04:45,800 Speaker 1: back for a second and talk about immigration, because part 75 00:04:45,839 --> 00:04:49,880 Speaker 1: of what we've benefited from so much in the last 76 00:04:50,200 --> 00:04:53,360 Speaker 1: couple of years, and the underlying efficiency of our market, 77 00:04:53,400 --> 00:04:57,000 Speaker 1: has been that we have had a lot of immigrants 78 00:04:57,240 --> 00:05:00,440 Speaker 1: because they have provided labor and a tight labor market. 79 00:05:00,760 --> 00:05:03,599 Speaker 1: We are getting many fewer immigrants now because people don't 80 00:05:03,600 --> 00:05:06,440 Speaker 1: want to come here. There are these horror stories of 81 00:05:06,720 --> 00:05:10,640 Speaker 1: the French scientists where the ice agents read her phone 82 00:05:10,760 --> 00:05:13,880 Speaker 1: and they detain her, you know, all sorts of stories 83 00:05:13,960 --> 00:05:16,640 Speaker 1: like that, you know, And then we also have this 84 00:05:16,920 --> 00:05:20,719 Speaker 1: weird power struggle with Canada, where there's a lot of 85 00:05:20,760 --> 00:05:22,760 Speaker 1: people are not coming here, they don't want to move here, 86 00:05:22,760 --> 00:05:25,120 Speaker 1: they don't even necessarily want to visit he or in fact, 87 00:05:25,160 --> 00:05:29,040 Speaker 1: are the numbers on our tourism are way way way down. 88 00:05:29,240 --> 00:05:32,200 Speaker 2: I was talking to restaurant employees this week at places 89 00:05:32,200 --> 00:05:34,159 Speaker 2: that like a lot of tourists travel to, and they're like, 90 00:05:34,240 --> 00:05:35,400 Speaker 2: we are dying. 91 00:05:35,800 --> 00:05:42,000 Speaker 1: Yes, So tourism, immigration, all this stuff helps the economy. 92 00:05:42,240 --> 00:05:46,320 Speaker 1: I think it's pretty interesting Steven Miller is still attacking immigrants. Meanwhile, 93 00:05:46,360 --> 00:05:48,560 Speaker 1: there was an article in the New York Times this 94 00:05:48,720 --> 00:05:52,320 Speaker 1: weekend about how the Trump administration is trying to get 95 00:05:52,320 --> 00:05:55,039 Speaker 1: people have babies, but they don't want to have babies 96 00:05:55,120 --> 00:05:57,960 Speaker 1: because you know, and this has been something that's been 97 00:05:58,000 --> 00:06:01,840 Speaker 1: going on for decades. In a decades, more people realize 98 00:06:01,880 --> 00:06:05,400 Speaker 1: how expensive it is to have children, and because housing 99 00:06:05,560 --> 00:06:08,640 Speaker 1: is so unaffordable and lifestyle is so unaffordable, they don't 100 00:06:08,640 --> 00:06:11,359 Speaker 1: want to have more kids, or any kids. The way 101 00:06:11,640 --> 00:06:15,800 Speaker 1: to fix this is to build out headstart right, spend 102 00:06:15,800 --> 00:06:19,680 Speaker 1: more money on public education, public health, more like a 103 00:06:19,760 --> 00:06:24,240 Speaker 1: public option for healthcare. So these are all things that 104 00:06:24,320 --> 00:06:27,600 Speaker 1: run completely contrary to what Republicans want to do, so 105 00:06:27,760 --> 00:06:30,440 Speaker 1: they're saying, like, how about we pay you five thousand 106 00:06:30,480 --> 00:06:33,080 Speaker 1: dollars of a baby. So that's where we are right now. 107 00:06:33,320 --> 00:06:35,719 Speaker 2: Speaking of where we are right now, if we head 108 00:06:35,760 --> 00:06:38,320 Speaker 2: down to Florida, which I'm glad we're not in right now, 109 00:06:38,520 --> 00:06:42,560 Speaker 2: we have some serious political chaos going on as Ron 110 00:06:42,640 --> 00:06:46,200 Speaker 2: and Casey Disantis seem to have really dropped the ball 111 00:06:46,240 --> 00:06:47,440 Speaker 2: on their political future. 112 00:06:47,880 --> 00:06:49,080 Speaker 1: Yeah, it's really sad. 113 00:06:49,440 --> 00:06:51,200 Speaker 2: I would like to point out, I'm crying. 114 00:06:51,960 --> 00:06:58,000 Speaker 1: The political future was largely speculative. Casey DeSantis, There's long 115 00:06:58,320 --> 00:07:03,480 Speaker 1: been talk that she would run for governor. I think 116 00:07:03,560 --> 00:07:06,000 Speaker 1: a lot of that talk was maybe spun by her. 117 00:07:06,760 --> 00:07:09,640 Speaker 2: I think that's what many people say right that. 118 00:07:09,480 --> 00:07:13,040 Speaker 1: She was some kind of powerhouse. The Democratic Party in Florida, 119 00:07:13,080 --> 00:07:15,320 Speaker 1: as we have heard many times on this podcast from 120 00:07:15,360 --> 00:07:19,200 Speaker 1: Rick Wilson, has really imploded, and so Republicans have had 121 00:07:19,240 --> 00:07:22,240 Speaker 1: a real opening here and a lot of Republicans have 122 00:07:22,320 --> 00:07:24,760 Speaker 1: moved to Florida for the lower tax base and because 123 00:07:24,800 --> 00:07:27,880 Speaker 1: it's got a very maga like a static right now. 124 00:07:27,960 --> 00:07:32,080 Speaker 1: But this scandal, again, if they were Trumpers, I don't 125 00:07:32,080 --> 00:07:34,680 Speaker 1: know that this scandal would weigh them down the same way. 126 00:07:34,720 --> 00:07:38,800 Speaker 1: But it's a funding scandal involving her signature initiative a 127 00:07:38,880 --> 00:07:42,920 Speaker 1: state assistant program known as Hope Florida, which you'll be 128 00:07:43,040 --> 00:07:46,960 Speaker 1: shocked to know that ten million dollars from a state 129 00:07:47,000 --> 00:07:51,640 Speaker 1: Medicare sentiment settlement was routed to a charity connected with 130 00:07:51,720 --> 00:07:55,400 Speaker 1: Hope Florida. Now everyone knows, you're only allowed to do 131 00:07:55,520 --> 00:08:00,440 Speaker 1: Medicare fraud if you're running for Senate in Florida. 132 00:08:00,480 --> 00:08:01,840 Speaker 2: I was going to say say, if your name is 133 00:08:01,880 --> 00:08:04,360 Speaker 2: Rick Scott, if. 134 00:08:04,280 --> 00:08:06,600 Speaker 1: You're running for Senate, that's fine, But if you're running 135 00:08:06,600 --> 00:08:08,200 Speaker 1: for governor, not allowed to do. 136 00:08:08,240 --> 00:08:11,640 Speaker 2: Medica fron Technically he was governor after that. 137 00:08:11,600 --> 00:08:14,040 Speaker 1: Right, It's true he was governor, but then he was 138 00:08:14,160 --> 00:08:17,080 Speaker 1: running for Salon and that was open. But the couple 139 00:08:17,200 --> 00:08:22,280 Speaker 1: have stood by their work fiercely and denied any wrongdoing 140 00:08:22,600 --> 00:08:26,240 Speaker 1: as long as they denied it obviously and lobbyist because 141 00:08:26,280 --> 00:08:29,240 Speaker 1: why wouldn't they. So we'll see if they get through this. Look, 142 00:08:29,320 --> 00:08:34,160 Speaker 1: Ron DeSantis did run against Trump, and you know, maybe 143 00:08:34,360 --> 00:08:43,280 Speaker 1: this is it. Maybe this is the blow we'll say. 144 00:08:44,280 --> 00:08:47,440 Speaker 1: Charlie Sykes is the author of the To the Contrary 145 00:08:47,559 --> 00:08:51,160 Speaker 1: newsletter and the book How the Right Lost His Mind 146 00:08:51,640 --> 00:08:55,120 Speaker 1: Welcome Back Too Fast? Politics, Charlie Sykes. 147 00:08:55,440 --> 00:08:57,280 Speaker 3: Are we in one hundred days yet? Are we there yet? 148 00:08:58,679 --> 00:09:03,880 Speaker 1: We're at a himer Is countings. Yeah, yeah, it's like 149 00:09:03,960 --> 00:09:05,720 Speaker 1: one hundred years in dog years. 150 00:09:06,080 --> 00:09:06,280 Speaker 4: You know. 151 00:09:06,320 --> 00:09:08,960 Speaker 3: I was looking at that, you know Aled Lennon quote, 152 00:09:09,040 --> 00:09:12,280 Speaker 3: you know, sometimes decades happened in weeks, that sort of thing. 153 00:09:12,480 --> 00:09:15,200 Speaker 3: Apparently it's one of those apocryphal quotes. But we know 154 00:09:15,240 --> 00:09:17,280 Speaker 3: what he means, right, And we're coming to the end 155 00:09:17,320 --> 00:09:19,160 Speaker 3: of this period. And I think some people are going 156 00:09:19,200 --> 00:09:21,280 Speaker 3: to have a hard time hearing that Donald Trump is 157 00:09:21,280 --> 00:09:24,880 Speaker 3: the most consequential president of the last century. It's not 158 00:09:24,960 --> 00:09:27,520 Speaker 3: a positive thing to say, but it's true. I mean, 159 00:09:27,760 --> 00:09:30,360 Speaker 3: this has been You do feel that the tectonic plates 160 00:09:30,400 --> 00:09:34,000 Speaker 3: of democracy are shifting. The country's tested and will be 161 00:09:34,120 --> 00:09:36,320 Speaker 3: changed one way or another by what Trump is doing 162 00:09:36,360 --> 00:09:37,480 Speaker 3: and how we respond to it. 163 00:09:37,520 --> 00:09:40,480 Speaker 1: So my friend, who's an academic, was saying, it's the 164 00:09:40,800 --> 00:09:42,960 Speaker 1: end of the American century. 165 00:09:43,200 --> 00:09:46,160 Speaker 3: Well, it may be, it may be. However, what's being 166 00:09:46,200 --> 00:09:49,800 Speaker 3: tested is the resilience of the American idea. And I 167 00:09:49,800 --> 00:09:52,040 Speaker 3: think for a few months people's heads have been down. 168 00:09:52,080 --> 00:09:53,920 Speaker 3: There's been a sense that Okay, that's it. 169 00:09:53,920 --> 00:09:54,680 Speaker 1: It was a good run. 170 00:09:54,760 --> 00:09:57,000 Speaker 3: What was your best memory of the rule of law. 171 00:09:58,440 --> 00:10:00,959 Speaker 3: That may be somewhat premature. One hundred days is a 172 00:10:01,000 --> 00:10:03,920 Speaker 3: long time. Lots happened, But if you take a longer view, 173 00:10:04,160 --> 00:10:06,360 Speaker 3: one hundred days is just one hundred days. And so 174 00:10:06,480 --> 00:10:08,680 Speaker 3: some of these polls that are out, which I'm guessing 175 00:10:08,760 --> 00:10:12,880 Speaker 3: Molly you've seen, would suggest that everything that Trump is 176 00:10:12,920 --> 00:10:16,080 Speaker 3: selling is not necessarily being bought by the American people. 177 00:10:16,400 --> 00:10:19,640 Speaker 1: Yes, but it's like in July. I'm going to bring 178 00:10:19,679 --> 00:10:22,520 Speaker 1: you back to July, which is a million years ago. 179 00:10:22,720 --> 00:10:25,440 Speaker 1: For that it is keeping drag at home. We said, well, 180 00:10:25,520 --> 00:10:27,880 Speaker 1: Donald Trump is going to do Project twenty twenty five, 181 00:10:27,920 --> 00:10:30,360 Speaker 1: and everyone said no, no, no, he says he's not. 182 00:10:30,960 --> 00:10:34,679 Speaker 1: But when we talked about Project twenty twenty five, when 183 00:10:34,720 --> 00:10:39,000 Speaker 1: people looked at it, it was wildly unpopular, right because 184 00:10:39,000 --> 00:10:41,880 Speaker 1: nobody wanted that. So now Trump is doing it. 185 00:10:42,120 --> 00:10:45,040 Speaker 3: Yeah, he's doing it with a considerable amount of zeal 186 00:10:45,320 --> 00:10:48,080 Speaker 3: and yes, people are finding out that maybe this is 187 00:10:48,120 --> 00:10:51,120 Speaker 3: not that popular. Look, what's happened is that we sometimes 188 00:10:51,160 --> 00:10:54,760 Speaker 3: confuse the Trump base with the electorate as a whole, 189 00:10:54,800 --> 00:10:57,360 Speaker 3: and there's a maga base that frankly does not care 190 00:10:57,400 --> 00:10:59,480 Speaker 3: what he does. He could aboord babies in the Oval 191 00:10:59,480 --> 00:11:02,040 Speaker 3: office and they would not care. There's nothing he will do. 192 00:11:02,320 --> 00:11:04,760 Speaker 3: But that is not the whole electorate. It's not even 193 00:11:04,800 --> 00:11:07,760 Speaker 3: the whole Republican electorate. Who knows, you know how many 194 00:11:07,760 --> 00:11:10,160 Speaker 3: people voted for Trump simply because they thought that they 195 00:11:10,200 --> 00:11:12,240 Speaker 3: would be good for their four oh one k or 196 00:11:12,280 --> 00:11:15,199 Speaker 3: that he would be the most pro business president ever, 197 00:11:15,800 --> 00:11:18,400 Speaker 3: or because they were just sick of Democrats. And then 198 00:11:18,400 --> 00:11:22,600 Speaker 3: suddenly they're confronted with the mad King who is intent 199 00:11:22,720 --> 00:11:29,240 Speaker 3: on retribution, you know, defying courts, raising tariffs, trashing the economy, 200 00:11:29,880 --> 00:11:33,120 Speaker 3: and yeah, maybe this is not what they signed up for. 201 00:11:33,280 --> 00:11:36,199 Speaker 3: But again, we're going to have to see how that 202 00:11:36,240 --> 00:11:38,959 Speaker 3: plays out. Because I look, as bad as the polls are, 203 00:11:39,559 --> 00:11:42,120 Speaker 3: Republicans are still lined up behind him, and there's no 204 00:11:42,200 --> 00:11:47,000 Speaker 3: indication that Republicans in Congress have any inclination to be 205 00:11:47,080 --> 00:11:48,360 Speaker 3: anything more than pottered plants. 206 00:11:48,440 --> 00:11:49,400 Speaker 5: Right, So you've. 207 00:11:49,200 --> 00:11:51,760 Speaker 1: Opened the door to something I actually really wanted to 208 00:11:51,920 --> 00:11:55,040 Speaker 1: talk about, think about, meditate on. So there is a 209 00:11:55,200 --> 00:11:59,480 Speaker 1: number that Donald Trump gets to where he's as unpopular 210 00:11:59,480 --> 00:12:03,400 Speaker 1: as he's you know, he's still got the magabase, But 211 00:12:03,480 --> 00:12:07,079 Speaker 1: there is eventually a number if he gets to it 212 00:12:07,440 --> 00:12:12,120 Speaker 1: Republicans who are up for reelection in a year and 213 00:12:12,400 --> 00:12:17,120 Speaker 1: change are like, like, let's talk about Elon Musk. Well, 214 00:12:17,280 --> 00:12:19,680 Speaker 1: let's go for Elon Musk for a minute. So Elon 215 00:12:19,800 --> 00:12:23,120 Speaker 1: Musk came in. Everyone was excited. He got a special 216 00:12:23,280 --> 00:12:26,400 Speaker 1: make America great hat. It turns out now he has, 217 00:12:26,480 --> 00:12:30,080 Speaker 1: according to the Wall Street Journal, more than forty children, 218 00:12:30,200 --> 00:12:33,959 Speaker 1: perhaps or a number closer to forty. He DMS women 219 00:12:34,120 --> 00:12:37,719 Speaker 1: to send them sperm, and he is now, you know, 220 00:12:37,800 --> 00:12:40,800 Speaker 1: and he spent thirty million dollars in judicial race in 221 00:12:40,840 --> 00:12:45,800 Speaker 1: your state, lost, unpopular, wildly and popular now at least 222 00:12:45,800 --> 00:12:48,280 Speaker 1: saying again, I don't know that you can trust what 223 00:12:48,320 --> 00:12:50,640 Speaker 1: he's saying here, but saying that he's going to step. 224 00:12:50,400 --> 00:12:52,960 Speaker 3: Back, well he can put more time to being father 225 00:12:53,040 --> 00:12:55,839 Speaker 3: of his country, right I mean, or at least sperm 226 00:12:55,880 --> 00:12:58,040 Speaker 3: donor to his country. Actually, I was thinking about that 227 00:12:58,160 --> 00:13:00,800 Speaker 3: today as I was a drive around the east side 228 00:13:00,800 --> 00:13:03,640 Speaker 3: of Milwaukee behind to Tesla, thinking about the change in 229 00:13:03,760 --> 00:13:07,480 Speaker 3: fortune of Tesla ownership, but also the pivot point of 230 00:13:07,480 --> 00:13:09,880 Speaker 3: the Wisconsin Supreme Court race. You know, if you really 231 00:13:09,920 --> 00:13:12,480 Speaker 3: sort of trace it back, his complete face plant here 232 00:13:12,520 --> 00:13:15,720 Speaker 3: in Wisconsin was really the beginning of his decline and 233 00:13:15,760 --> 00:13:20,480 Speaker 3: his politically irrelevance. But again, Elon Musk is not Donald Trump, 234 00:13:20,920 --> 00:13:23,560 Speaker 3: and so I don't know whether there's a number that 235 00:13:23,640 --> 00:13:27,680 Speaker 3: Republicans in Congress will ever get to. However, I do 236 00:13:27,760 --> 00:13:32,920 Speaker 3: think that it's now it's now easier to resist and 237 00:13:32,960 --> 00:13:36,320 Speaker 3: push back against trump Ism when clearly he has not 238 00:13:36,520 --> 00:13:41,920 Speaker 3: found some magic formula of power, this magic formula that 239 00:13:41,960 --> 00:13:45,079 Speaker 3: the public has decided that it's fallen in love with everything, 240 00:13:46,200 --> 00:13:48,240 Speaker 3: And can I make it? Can I confess something, Molly 241 00:13:48,360 --> 00:13:51,400 Speaker 3: that I'm probably going to regret. I am really really 242 00:13:51,440 --> 00:13:54,120 Speaker 3: bored of talking about when are Republicans going to do X? 243 00:13:54,280 --> 00:13:57,160 Speaker 3: And I'm really bored talking about Democrats. I'm actually talking, 244 00:13:57,320 --> 00:14:00,360 Speaker 3: really bored talking about both of them, because I think 245 00:14:00,400 --> 00:14:03,800 Speaker 3: what's actually more important is what the rest of us do, 246 00:14:03,960 --> 00:14:07,800 Speaker 3: the rest of civil society, you know, all the other institutions, 247 00:14:07,800 --> 00:14:09,800 Speaker 3: and say it's the Look, it is not up to 248 00:14:10,320 --> 00:14:14,720 Speaker 3: Chuck Schumer to save America. You know, it's upbout quite 249 00:14:15,080 --> 00:14:18,000 Speaker 3: And I'm serious about this. It's you're talking about the 250 00:14:18,000 --> 00:14:21,400 Speaker 3: private sector of the universities, the churches, the law firms, 251 00:14:21,480 --> 00:14:24,800 Speaker 3: the courts, everyone else has to decide what it means 252 00:14:24,800 --> 00:14:27,520 Speaker 3: to be an America. And it's something that I think 253 00:14:27,760 --> 00:14:31,440 Speaker 3: because the challenge is so great, it actually transcends electoral politics. 254 00:14:31,480 --> 00:14:34,680 Speaker 3: And so if anybody expects that congressional Republicans are going 255 00:14:34,720 --> 00:14:36,680 Speaker 3: to figure out I mean, congressional Democrats are going to 256 00:14:36,680 --> 00:14:38,440 Speaker 3: figure out some magic form, I may need to be 257 00:14:38,520 --> 00:14:40,560 Speaker 3: much more aggressive. Don't get me wrong. I want to 258 00:14:40,600 --> 00:14:44,120 Speaker 3: think more about what Americans out there in the actual 259 00:14:44,160 --> 00:14:47,080 Speaker 3: real world who have to live in this society think 260 00:14:47,120 --> 00:14:50,040 Speaker 3: about all this. What what do average Americans? What do judges? 261 00:14:50,040 --> 00:14:54,880 Speaker 3: What do police officers think about? The mass deportations, the 262 00:14:54,880 --> 00:14:58,880 Speaker 3: the you know, scoffing at court orders. Because I think 263 00:14:58,920 --> 00:15:03,320 Speaker 3: that's the challenges. Well, and if Americans say, you know what, 264 00:15:03,400 --> 00:15:06,560 Speaker 3: this is not what we want from America, I think 265 00:15:06,600 --> 00:15:10,040 Speaker 3: the electoral politics flows from that. And so I don't 266 00:15:10,040 --> 00:15:12,120 Speaker 3: think the answer is going to come from Washington. I'm 267 00:15:12,120 --> 00:15:14,200 Speaker 3: not saying that there's not a lot of responsibility. I'm 268 00:15:14,200 --> 00:15:16,240 Speaker 3: just you know, we keep saying, well, win, are Democrats 269 00:15:16,240 --> 00:15:16,640 Speaker 3: going to do this? 270 00:15:16,640 --> 00:15:16,760 Speaker 4: Win? 271 00:15:16,760 --> 00:15:19,040 Speaker 3: Are Democrats going to do that? I'm want to win. 272 00:15:19,080 --> 00:15:20,960 Speaker 3: Are the American people going to do something? 273 00:15:21,240 --> 00:15:26,920 Speaker 1: Yeah? It's really relevant, certainly, but it is easier to 274 00:15:26,920 --> 00:15:29,080 Speaker 1: push back against things I mean, if you look back 275 00:15:29,080 --> 00:15:31,680 Speaker 1: at Trump one point, how the thing that prevented a 276 00:15:31,680 --> 00:15:36,360 Speaker 1: lot of this stuff from happening was corporations people. I mean, 277 00:15:36,440 --> 00:15:39,040 Speaker 1: you know, there was a certain sort of combination of 278 00:15:39,120 --> 00:15:42,560 Speaker 1: factors that what we see in this time is a 279 00:15:42,560 --> 00:15:44,760 Speaker 1: lot of corporations are all over, which is, you know, 280 00:15:44,880 --> 00:15:47,440 Speaker 1: because they thought it was better for business or whatever. 281 00:15:47,680 --> 00:15:50,200 Speaker 1: But what they've seen is that none of this is popular. 282 00:15:50,320 --> 00:15:52,840 Speaker 1: Like it wasn't popular the first time, it's not popular 283 00:15:52,920 --> 00:15:56,800 Speaker 1: the second time, which there's a reason that very famous 284 00:15:56,840 --> 00:15:59,760 Speaker 1: people try to stay out of politics. And it is 285 00:16:00,320 --> 00:16:03,000 Speaker 1: like what happened to Elon Mosk right right. 286 00:16:03,200 --> 00:16:06,080 Speaker 3: Quite frankly, yes, you're right, it's not popular. But I 287 00:16:06,080 --> 00:16:08,200 Speaker 3: don't care whether it's popular or not. I mean, this 288 00:16:08,520 --> 00:16:11,520 Speaker 3: country was actually founded on the principle that there are 289 00:16:11,560 --> 00:16:16,920 Speaker 3: certain fundamentally inalienable rights, and whether it's popular to illegally 290 00:16:16,960 --> 00:16:20,200 Speaker 3: rendition someone to All Salvadory or not is really kind 291 00:16:20,200 --> 00:16:22,960 Speaker 3: of a secondary point. But I think that what's happening 292 00:16:23,000 --> 00:16:25,440 Speaker 3: is is that that's settling in. I'm hoping that we 293 00:16:25,480 --> 00:16:28,000 Speaker 3: can sort of get back to first principles here is 294 00:16:28,000 --> 00:16:30,880 Speaker 3: that people look around and go, Okay, this actually is 295 00:16:31,000 --> 00:16:34,600 Speaker 3: dangerous this offense are innate sense of fairness and that 296 00:16:34,640 --> 00:16:37,960 Speaker 3: he's violating all of that. So I think also there 297 00:16:38,080 --> 00:16:40,640 Speaker 3: was and I'm glad you brought up the project twenty 298 00:16:40,680 --> 00:16:44,240 Speaker 3: twenty five because no one should really have been that 299 00:16:44,480 --> 00:16:47,520 Speaker 3: surprised by what Trump was going to do. Trump's campaign 300 00:16:47,600 --> 00:16:49,760 Speaker 3: was Trump in full. He made it very very clear 301 00:16:49,800 --> 00:16:51,800 Speaker 3: who he was, what he was, what he was going 302 00:16:51,840 --> 00:16:55,240 Speaker 3: to do. And you and I and others spent months 303 00:16:55,640 --> 00:16:57,840 Speaker 3: hair on fire saying, do you know how bad this 304 00:16:57,920 --> 00:16:59,560 Speaker 3: is going to be? You know what he's going to do. 305 00:16:59,600 --> 00:17:01,400 Speaker 3: It's not going to be like Trump point zero. And 306 00:17:01,480 --> 00:17:04,439 Speaker 3: we were accused of being hysterical, we were accused of 307 00:17:04,480 --> 00:17:07,520 Speaker 3: having Trump derangement syndrome. And then he comes in and 308 00:17:07,600 --> 00:17:11,080 Speaker 3: does exactly what he said he was going to do. 309 00:17:11,240 --> 00:17:13,840 Speaker 3: They wrote it in a book, and so a part 310 00:17:13,880 --> 00:17:16,399 Speaker 3: of me is like, how could you possibly be surprised 311 00:17:16,400 --> 00:17:20,560 Speaker 3: by this? But it's right there, it's in front of you. Now, 312 00:17:20,800 --> 00:17:22,760 Speaker 3: what is America going to do? How are they going 313 00:17:22,800 --> 00:17:25,040 Speaker 3: to respond to all of it? Now, I'm gonna contradict 314 00:17:25,040 --> 00:17:27,520 Speaker 3: myself having said that it's not important whether it's popular, 315 00:17:27,720 --> 00:17:31,840 Speaker 3: It certainly should change the sort of the Eori ish, 316 00:17:31,920 --> 00:17:36,800 Speaker 3: Oh my god, everything has gone to see that huge 317 00:17:36,840 --> 00:17:40,520 Speaker 3: majorities of the public are seeing this, are watching this 318 00:17:40,760 --> 00:17:43,200 Speaker 3: and going, no, we weren't reject I mean, I think 319 00:17:43,280 --> 00:17:45,000 Speaker 3: part of the problem is that we watched this. Wee 320 00:17:45,040 --> 00:17:47,560 Speaker 3: go how come American people are not seeing what we're saying? 321 00:17:47,600 --> 00:17:49,399 Speaker 3: And what's wrong with them if they don't see it? 322 00:17:49,640 --> 00:17:52,080 Speaker 3: Now at least there's an alignment where you have huge 323 00:17:52,080 --> 00:17:54,960 Speaker 3: majorities that go, yeah, you know, tariffs actually are big taxes, 324 00:17:55,000 --> 00:17:58,680 Speaker 3: they are inflationary, They're not good. Maybe ignoring the Supreme 325 00:17:58,760 --> 00:18:01,879 Speaker 3: Court is a bad thing for the Louisville. 326 00:18:01,880 --> 00:18:06,879 Speaker 1: So there was this Siena College poll from April twenty fourth, 327 00:18:07,040 --> 00:18:12,160 Speaker 1: and percentage of voters who said the following words described 328 00:18:12,200 --> 00:18:17,359 Speaker 1: Trump's second term in office, well, sixty six percent said chaotic, 329 00:18:17,920 --> 00:18:23,840 Speaker 1: fifty nine percent said scary it's hard to imagine chaotic. 330 00:18:23,480 --> 00:18:25,120 Speaker 3: But forty two percent said exciting. 331 00:18:25,280 --> 00:18:27,399 Speaker 1: Yes they did, they did. So. 332 00:18:27,520 --> 00:18:29,720 Speaker 3: Do understand that there's a large portion in the American 333 00:18:29,720 --> 00:18:32,159 Speaker 3: public that's kind of kind of getting too messent over this. 334 00:18:32,440 --> 00:18:35,920 Speaker 1: Yeah, but his approval rating is negative twelve. I mean, 335 00:18:36,240 --> 00:18:40,080 Speaker 1: everything is down right, I mean, even on the economy, 336 00:18:40,560 --> 00:18:44,320 Speaker 1: which was like the reason that theoretically, at least some 337 00:18:44,359 --> 00:18:47,040 Speaker 1: of the people voted for him. They're not happy with him. 338 00:18:47,320 --> 00:18:51,399 Speaker 3: He's not ten feet tall. He is not unstoppable. I 339 00:18:51,400 --> 00:18:53,440 Speaker 3: think a lot of his power in that first hundred 340 00:18:53,520 --> 00:18:56,560 Speaker 3: days was this belief that resistance is futile and that 341 00:18:56,640 --> 00:18:59,560 Speaker 3: everybody had to capitulate in advance. When you look at 342 00:18:59,600 --> 00:19:02,359 Speaker 3: a first his margin in the Senate is very very small, 343 00:19:02,400 --> 00:19:06,399 Speaker 3: his margin in the House is infinitesimal. And he's Donald 344 00:19:06,440 --> 00:19:09,320 Speaker 3: fucking Trump who won by a sliver and who is 345 00:19:09,400 --> 00:19:13,600 Speaker 3: now engaging in the classic political hubris of overreading his 346 00:19:14,040 --> 00:19:17,359 Speaker 3: victory and his mandate. And so but you think about 347 00:19:17,400 --> 00:19:20,400 Speaker 3: all of the his initiatives and all of the surrenders, 348 00:19:20,400 --> 00:19:24,040 Speaker 3: and all of the surrenders, I think we're done. Because 349 00:19:24,040 --> 00:19:28,439 Speaker 3: people thought he was unstoppable and that there were no guardrails. Well, okay, 350 00:19:28,600 --> 00:19:31,720 Speaker 3: we're coming up to one hundred day point. He's not unstoppable, 351 00:19:32,080 --> 00:19:35,480 Speaker 3: resistance is possible, and there are still some guard rails. 352 00:19:35,600 --> 00:19:37,960 Speaker 3: I mean, we can take this back and forth. 353 00:19:39,520 --> 00:19:40,160 Speaker 5: How about that. 354 00:19:40,560 --> 00:19:44,399 Speaker 1: You have to agree that behind the scenes there's Roberts 355 00:19:44,440 --> 00:19:47,720 Speaker 1: trying to get the numbers. There's just no way otherwise. 356 00:19:48,480 --> 00:19:50,840 Speaker 3: Well, and Trump is you know, This is one of 357 00:19:50,880 --> 00:19:53,320 Speaker 3: those those things where I know there's an entire cottage 358 00:19:53,320 --> 00:19:56,040 Speaker 3: industry of people who assure us that he's playing four 359 00:19:56,080 --> 00:19:59,840 Speaker 3: dimensional chess, but his lack of respect and his defiance 360 00:20:00,119 --> 00:20:04,680 Speaker 3: the judiciary is Backfron. You're seeing more and more conservative lawyers, 361 00:20:04,840 --> 00:20:10,400 Speaker 3: conservative judges pushing back hard his decision to arrest a 362 00:20:10,440 --> 00:20:15,520 Speaker 3: Milwaukee judge at the Coarehouse and the FBI am Trust me, 363 00:20:15,800 --> 00:20:17,960 Speaker 3: I don't think you have to be a a woke 364 00:20:18,440 --> 00:20:24,000 Speaker 3: progressive judge to be appalled by that. So I'm saying 365 00:20:24,040 --> 00:20:29,040 Speaker 3: he's alienating the judiciary at a moment when they actually 366 00:20:29,400 --> 00:20:33,960 Speaker 3: do pose a significant threat to his authoritarian agenda. 367 00:20:34,240 --> 00:20:38,680 Speaker 1: Yeah. I also think that the thing that is kind 368 00:20:38,720 --> 00:20:42,480 Speaker 1: of amazing is that you know, you have all of 369 00:20:42,520 --> 00:20:47,160 Speaker 1: these people like Ken Griffin, largest Republican donor to this cycle, 370 00:20:47,240 --> 00:20:51,360 Speaker 1: though not a Trump donor, but to every other Republican 371 00:20:52,040 --> 00:20:54,320 Speaker 1: running for office in the world. I mean, he is 372 00:20:54,400 --> 00:20:56,359 Speaker 1: like one of the very few people who's saying that 373 00:20:56,480 --> 00:20:59,960 Speaker 1: Trump is ruining the American brand. 374 00:21:00,240 --> 00:21:02,080 Speaker 3: Well, there's been a lot of delusion about Trump on 375 00:21:02,119 --> 00:21:04,359 Speaker 3: the part of these guys that they have you told 376 00:21:04,359 --> 00:21:06,920 Speaker 3: themselves a story that he was going to be their 377 00:21:07,040 --> 00:21:09,400 Speaker 3: champion that he was going to deregulate and cut their 378 00:21:09,440 --> 00:21:12,200 Speaker 3: taxes and don't worry, he was bluffing about everything else, 379 00:21:12,640 --> 00:21:15,840 Speaker 3: and we can control him. And now they're finding out no, 380 00:21:16,000 --> 00:21:18,719 Speaker 3: he's not, and he's making decisions that have injected a 381 00:21:18,800 --> 00:21:22,560 Speaker 3: massive amount of uncertainty into their decision making, into the economy, 382 00:21:23,040 --> 00:21:27,080 Speaker 3: and investors hate uncertainty, they really do. Now, on the 383 00:21:27,119 --> 00:21:30,200 Speaker 3: other hand, there's going to be this group of people 384 00:21:30,320 --> 00:21:32,320 Speaker 3: who are think, hey, you know what, as long as 385 00:21:32,320 --> 00:21:34,400 Speaker 3: we stay close to the throne, we can benefit from 386 00:21:34,400 --> 00:21:37,399 Speaker 3: the corruption, we can benefit from the insider trading, we 387 00:21:37,480 --> 00:21:41,320 Speaker 3: can benefit from the fear and favor. But yeah, I 388 00:21:41,359 --> 00:21:43,920 Speaker 3: think that you've had a lot of illusion shattered, right. 389 00:21:44,000 --> 00:21:46,040 Speaker 1: I mean, if you look at the people around Trump, 390 00:21:46,160 --> 00:21:51,119 Speaker 1: it's not like I mean, Elon obviously is a specialized case, 391 00:21:51,160 --> 00:21:54,200 Speaker 1: but there are certainly people on Trump's inner circle who 392 00:21:54,240 --> 00:21:58,160 Speaker 1: are getting read to on lobbying or whatever. But if 393 00:21:58,200 --> 00:22:01,920 Speaker 1: you're just you know, a bill men or someone who 394 00:22:02,000 --> 00:22:06,000 Speaker 1: relies on the markets, the tariffs are. 395 00:22:06,040 --> 00:22:10,480 Speaker 3: Rushing, well they are. And it's also again the relationships 396 00:22:10,520 --> 00:22:13,200 Speaker 3: that have been destroyed, the fact that you don't know 397 00:22:13,320 --> 00:22:15,280 Speaker 3: what he's going to do from day to day, and 398 00:22:15,359 --> 00:22:18,640 Speaker 3: it's hard to make investment decisions. So there's a sense 399 00:22:18,680 --> 00:22:20,639 Speaker 3: of does this guy actually know what he's doing, is 400 00:22:20,680 --> 00:22:24,240 Speaker 3: he irrational? Is he dangerous? And that's where that number 401 00:22:24,280 --> 00:22:26,679 Speaker 3: in that New York Times Senapol you said it is 402 00:22:26,680 --> 00:22:28,679 Speaker 3: so important that you have more than the sixty What 403 00:22:28,760 --> 00:22:29,920 Speaker 3: was the number four chaos? 404 00:22:30,040 --> 00:22:31,440 Speaker 1: Sixty six percent? 405 00:22:31,600 --> 00:22:34,800 Speaker 3: Okay, so sixty six I mean, can we just sit 406 00:22:34,920 --> 00:22:37,119 Speaker 3: on that for a moment. You have two thirds of 407 00:22:37,160 --> 00:22:39,440 Speaker 3: Americans that are looking at the President of the United 408 00:22:39,480 --> 00:22:42,920 Speaker 3: States and seeing him as an agent of chaos. Now 409 00:22:42,960 --> 00:22:45,240 Speaker 3: there are there's going to be a segment of the 410 00:22:45,280 --> 00:22:48,119 Speaker 3: electorate that likes that, that loves chaos. Not in the 411 00:22:48,119 --> 00:22:50,760 Speaker 3: business community though, but also the other thing is that 412 00:22:50,840 --> 00:22:53,879 Speaker 3: like this is the second Trump administration, this is the 413 00:22:53,880 --> 00:22:57,040 Speaker 3: one that's better organized, Like and sixty. 414 00:22:56,760 --> 00:22:59,879 Speaker 1: Center saying chaos, I mean, we don't know what's going 415 00:22:59,920 --> 00:23:04,600 Speaker 1: to happen, but we are open to so many possible 416 00:23:04,920 --> 00:23:10,359 Speaker 1: catastrophic events because of the combination of the deregulation and 417 00:23:10,400 --> 00:23:15,359 Speaker 1: the stripping the federal government that like between the measles 418 00:23:15,480 --> 00:23:20,120 Speaker 1: pandemic that is sort of or pandemic is the wrong word, 419 00:23:20,160 --> 00:23:23,080 Speaker 1: I think, but it certainly the measles outbreaks at this 420 00:23:23,280 --> 00:23:27,879 Speaker 1: moment in different parts of the country among unvaccinated children. 421 00:23:28,000 --> 00:23:30,760 Speaker 1: That's going and that, I mean, They're just a number 422 00:23:30,840 --> 00:23:33,720 Speaker 1: of things that are bubbling under the surface that could 423 00:23:34,040 --> 00:23:35,439 Speaker 1: derail us even further. 424 00:23:35,800 --> 00:23:39,560 Speaker 3: I'm really glad you brought that up, because the return 425 00:23:39,720 --> 00:23:42,840 Speaker 3: of measles and other diseases that have been eradicated by 426 00:23:42,920 --> 00:23:47,159 Speaker 3: vaccines would be one of the great tragedies of history 427 00:23:47,280 --> 00:23:51,800 Speaker 3: and completely preventable and avoidable and completely man made. And 428 00:23:52,280 --> 00:23:55,040 Speaker 3: this administration could actually usher that. I mean, this is 429 00:23:55,080 --> 00:23:58,040 Speaker 3: a real danger. And I think a lot of things 430 00:23:58,080 --> 00:24:00,960 Speaker 3: are still like clouds on the horizons, so we don't 431 00:24:01,040 --> 00:24:03,840 Speaker 3: know all the dangers out there. I mean, America first 432 00:24:03,880 --> 00:24:06,800 Speaker 3: turned out to be America alone, but also the rollback 433 00:24:07,040 --> 00:24:09,920 Speaker 3: of public health. No, you're you're right, and I think 434 00:24:09,960 --> 00:24:13,359 Speaker 3: that these are all danger signs for Trump going forward. 435 00:24:13,840 --> 00:24:17,200 Speaker 3: We haven't seen the full impact on the economy. You've 436 00:24:17,240 --> 00:24:20,879 Speaker 3: probably seen these stories about the empty cargo ships coming 437 00:24:20,920 --> 00:24:23,679 Speaker 3: from China. We haven't even seen all of this. We 438 00:24:23,760 --> 00:24:26,280 Speaker 3: don't know, I mean, and by the way, measles pandemic, 439 00:24:26,520 --> 00:24:29,280 Speaker 3: measles epidemic would and I don't want to just see 440 00:24:29,280 --> 00:24:31,840 Speaker 3: this in political terms, but it would be a catastrophe. 441 00:24:32,240 --> 00:24:35,080 Speaker 1: Yeah, the trade war is a really good example of 442 00:24:35,200 --> 00:24:38,280 Speaker 1: how none of this was three dimensional chests, Like, if 443 00:24:38,320 --> 00:24:40,600 Speaker 1: you were going to go to war with China, you 444 00:24:40,640 --> 00:24:44,000 Speaker 1: would make sure that Mexico and Canada had your back, 445 00:24:44,240 --> 00:24:46,440 Speaker 1: right if you were going to go to trade war 446 00:24:46,520 --> 00:24:49,119 Speaker 1: with them in Europe. And instead what he did was 447 00:24:49,440 --> 00:24:52,840 Speaker 1: he made everybody really mad and then made China really mad. 448 00:24:53,040 --> 00:24:57,000 Speaker 1: So I do think it's worth remembering that none of 449 00:24:57,040 --> 00:24:59,600 Speaker 1: this Again, as you said earlier, you know, we. 450 00:24:59,560 --> 00:25:03,080 Speaker 3: Go through these poll numbers which are really historically unprecedented. 451 00:25:03,119 --> 00:25:05,679 Speaker 3: I mean, no president has ever been this low this 452 00:25:05,760 --> 00:25:08,800 Speaker 3: early in his term. The fall has happened very very quickly. 453 00:25:09,480 --> 00:25:12,919 Speaker 3: And it's not just on never Trump type or democratic 454 00:25:13,240 --> 00:25:16,760 Speaker 3: or progressive issues. It's on immigration. Immigration was his thing, 455 00:25:17,200 --> 00:25:20,920 Speaker 3: This was his signature issue. He's underwater on this. He's 456 00:25:21,000 --> 00:25:24,080 Speaker 3: underwater on the Abrago Garcia case. I think he's minus 457 00:25:24,080 --> 00:25:27,280 Speaker 3: twenty one on that case. He's tied for its least popular. 458 00:25:27,680 --> 00:25:30,199 Speaker 3: Remember all the smart kids who were telling us that 459 00:25:30,560 --> 00:25:32,880 Speaker 3: you know, well, you guys should stop talking about that, 460 00:25:33,000 --> 00:25:35,600 Speaker 3: because that's what Trump wants you to talk about. This 461 00:25:35,640 --> 00:25:38,960 Speaker 3: is a winning issue for Donald Trump. Donald Trump wants 462 00:25:39,000 --> 00:25:41,639 Speaker 3: to focus on this because the American people like the 463 00:25:41,640 --> 00:25:45,840 Speaker 3: brutality and the cruelty and the lawlessness of his immigration policies. Well, Molly, 464 00:25:45,880 --> 00:25:48,040 Speaker 3: it turns out and in fact, if you do talk 465 00:25:48,080 --> 00:25:50,680 Speaker 3: about it and people do think about it, that they 466 00:25:50,720 --> 00:25:53,080 Speaker 3: don't approve of it. So this is again one of 467 00:25:53,119 --> 00:25:56,720 Speaker 3: those There are all of those voices and including Gavin 468 00:25:56,800 --> 00:25:59,160 Speaker 3: Newsom out there saying no, no, that's a distraction. We should 469 00:25:59,160 --> 00:26:01,680 Speaker 3: be talking about table issues. Fun Let's talk about the 470 00:26:01,760 --> 00:26:05,400 Speaker 3: kitchen table issues. But also it's not necessarily a loser 471 00:26:05,600 --> 00:26:08,560 Speaker 3: to be talking about the rule of law issues, or 472 00:26:08,600 --> 00:26:10,640 Speaker 3: the humanitarian issues, or. 473 00:26:10,600 --> 00:26:15,160 Speaker 1: The deported children with cancer, the United States Citizens Supported 474 00:26:15,200 --> 00:26:17,879 Speaker 1: with Cancer. Thank you, thank you, thank you. 475 00:26:18,000 --> 00:26:21,480 Speaker 3: Charlie Sikes anytime. By the way, cannot wait for your book, 476 00:26:21,560 --> 00:26:22,640 Speaker 3: Molly cannot wait. 477 00:26:24,640 --> 00:26:30,280 Speaker 1: Rachel Trafonza is the founder of the Welcome to Fast Politics. 478 00:26:30,359 --> 00:26:32,399 Speaker 5: Rachel, thank you so much for having me. Mollie. 479 00:26:32,680 --> 00:26:36,359 Speaker 1: All right, so let's talk about what is happening with 480 00:26:36,440 --> 00:26:41,000 Speaker 1: gen Z, because you wrote this very interesting piece about 481 00:26:41,000 --> 00:26:43,960 Speaker 1: how gen Z is split, and I'd love for you 482 00:26:44,280 --> 00:26:47,520 Speaker 1: to explain to us how gen Z is split, Why 483 00:26:47,600 --> 00:26:50,240 Speaker 1: gen Z is split, and what's it look like totally. 484 00:26:50,560 --> 00:26:53,919 Speaker 4: So I have been holding listening sessions, which really are 485 00:26:54,040 --> 00:26:57,520 Speaker 4: just informal conversations with young people across the country for 486 00:26:57,600 --> 00:27:00,360 Speaker 4: the past really like two and a half years, and 487 00:27:00,880 --> 00:27:04,280 Speaker 4: since after the twenty twenty two midterms, I started seeing 488 00:27:04,520 --> 00:27:08,480 Speaker 4: a major split in how the youngest members of gen 489 00:27:08,560 --> 00:27:11,000 Speaker 4: Z who were eligible to vote and the older members 490 00:27:11,000 --> 00:27:13,960 Speaker 4: of gen Z who were eligible to vote vote not 491 00:27:14,000 --> 00:27:18,240 Speaker 4: just politics but life in general. And I started to 492 00:27:18,320 --> 00:27:20,760 Speaker 4: develop this theory that I called the two gen zs, 493 00:27:20,800 --> 00:27:22,879 Speaker 4: where there's gen Z one point zero and gen Z 494 00:27:22,920 --> 00:27:25,800 Speaker 4: two point zero, and gen Z one point zero includes 495 00:27:25,920 --> 00:27:29,040 Speaker 4: anyone who graduated high school before the start of the 496 00:27:29,080 --> 00:27:32,320 Speaker 4: COVID nineteen pandemic, and gen Z two point zero accounts 497 00:27:32,320 --> 00:27:35,960 Speaker 4: for anyone who graduated high school during or after. 498 00:27:36,119 --> 00:27:38,959 Speaker 5: The start of the pandemic. And the reason why I 499 00:27:39,000 --> 00:27:43,680 Speaker 5: think that the pandemic was such a formative split between 500 00:27:43,720 --> 00:27:48,280 Speaker 5: these two subgenerations of gen Z is that it really 501 00:27:48,400 --> 00:27:52,880 Speaker 5: changed how members of this generation were growing up. And 502 00:27:53,040 --> 00:27:55,679 Speaker 5: when you think about the fifteen year span of time 503 00:27:55,840 --> 00:28:00,160 Speaker 5: that accounts for gen Z when they were born, there 504 00:28:00,320 --> 00:28:05,280 Speaker 5: really were very different lived adolescent experiences depending on if 505 00:28:05,359 --> 00:28:08,119 Speaker 5: you had grown up before or after the start of COVID. 506 00:28:08,840 --> 00:28:11,840 Speaker 1: Right, COVID is the break. If you grew up before COVID, 507 00:28:11,960 --> 00:28:17,240 Speaker 1: you have more normal liberal policies right for your age. Explain. 508 00:28:17,800 --> 00:28:20,720 Speaker 4: This is still very much unfolding, but the more data 509 00:28:20,720 --> 00:28:23,760 Speaker 4: points we get, the more clear this picture seems to 510 00:28:23,800 --> 00:28:28,760 Speaker 4: become where the gen Z one point zero had more 511 00:28:29,040 --> 00:28:33,199 Speaker 4: idealistic liberal tendencies. For example, I'm in gen Z one 512 00:28:33,200 --> 00:28:35,280 Speaker 4: point zero. I was born in nineteen ninety seven, and 513 00:28:35,800 --> 00:28:38,440 Speaker 4: when I was in college, my four years of college 514 00:28:38,440 --> 00:28:41,240 Speaker 4: were the four years of President Donald Trump's first term 515 00:28:41,280 --> 00:28:45,720 Speaker 4: in office, and there was a lot of resistance to 516 00:28:46,360 --> 00:28:50,640 Speaker 4: that time period, and there was this sort of liberal 517 00:28:50,680 --> 00:28:55,760 Speaker 4: ideology that by demonstrating by protesting, perhaps you know, people's 518 00:28:55,760 --> 00:29:00,880 Speaker 4: message would be heard, and politically, this cohort was considered 519 00:29:00,920 --> 00:29:03,120 Speaker 4: at the time very left leaning and perhaps you know, 520 00:29:03,320 --> 00:29:05,479 Speaker 4: there was some language around gen Z could save us 521 00:29:05,480 --> 00:29:06,400 Speaker 4: all things like that. 522 00:29:06,680 --> 00:29:07,680 Speaker 5: What we're seeing. 523 00:29:07,480 --> 00:29:11,080 Speaker 4: Now is that gen Z on the whole is shifting right, 524 00:29:11,400 --> 00:29:15,320 Speaker 4: in large part being driven by these younger gen Zers 525 00:29:15,480 --> 00:29:20,200 Speaker 4: who grew up amid COVID lockdowns and restrictive policies and 526 00:29:20,480 --> 00:29:25,440 Speaker 4: really grew to resent authority and the time frame in 527 00:29:25,480 --> 00:29:28,120 Speaker 4: which they were growing up. When they were, you know, 528 00:29:28,160 --> 00:29:32,240 Speaker 4: in late high school or maybe starting college, after the 529 00:29:32,280 --> 00:29:34,360 Speaker 4: start of the pandemic. During the pandemic, or even after 530 00:29:34,400 --> 00:29:38,160 Speaker 4: the pandemic, Biden was in office, and they were looking 531 00:29:38,240 --> 00:29:43,680 Speaker 4: for someone to blame during this time period when it 532 00:29:43,800 --> 00:29:46,840 Speaker 4: felt like life wasn't normal, life wasn't getting back to normal, 533 00:29:47,080 --> 00:29:50,400 Speaker 4: And the people who were in charge and who were 534 00:29:50,400 --> 00:29:54,160 Speaker 4: associated with the more social distancing policies or masking policies 535 00:29:54,200 --> 00:29:57,360 Speaker 4: things like that were Democrats, and so I think that 536 00:29:57,480 --> 00:29:59,760 Speaker 4: contributed to some of this shift as well. But then 537 00:29:59,760 --> 00:30:02,760 Speaker 4: the the key piece, and this is related but not 538 00:30:03,240 --> 00:30:06,760 Speaker 4: exactly the same, is that we really saw the evolution 539 00:30:06,880 --> 00:30:12,280 Speaker 4: of TikTok during and after COVID, and there's been a 540 00:30:13,400 --> 00:30:17,640 Speaker 4: just change in how younger gen Zers consume media and 541 00:30:17,680 --> 00:30:20,040 Speaker 4: how all of us consume media. But this is how 542 00:30:20,320 --> 00:30:23,160 Speaker 4: these younger gen Zers grew up. This is all that 543 00:30:23,200 --> 00:30:27,720 Speaker 4: they knew. They never had the previous forms of social media. 544 00:30:27,760 --> 00:30:30,440 Speaker 4: They only know a world where TikTok is the place 545 00:30:30,480 --> 00:30:35,240 Speaker 4: for public discourse. And there's been some data coming out 546 00:30:35,280 --> 00:30:41,080 Speaker 4: that starts to show that TikTok has more republican content 547 00:30:41,120 --> 00:30:44,520 Speaker 4: on it, or more conservative content on it, and perhaps 548 00:30:44,640 --> 00:30:47,000 Speaker 4: that's part of this puzzle as well, But I think 549 00:30:47,040 --> 00:30:49,280 Speaker 4: it's just important to point out that we don't exactly 550 00:30:49,320 --> 00:30:51,840 Speaker 4: know the causality. What we do know is that this 551 00:30:51,960 --> 00:30:56,320 Speaker 4: generation is split into two and that the younger gen 552 00:30:56,400 --> 00:30:59,520 Speaker 4: zers account for more of that conservative viewpoint. And there 553 00:30:59,600 --> 00:31:01,520 Speaker 4: was a new pool that came out last week from 554 00:31:01,760 --> 00:31:04,040 Speaker 4: the Yale Youth Goal that showed this. 555 00:31:04,000 --> 00:31:05,600 Speaker 5: Divide pretty starkly. 556 00:31:05,800 --> 00:31:10,360 Speaker 4: So it showed that they asked respondents who they would 557 00:31:10,440 --> 00:31:12,280 Speaker 4: in a generic ballot who they would vote for in 558 00:31:12,400 --> 00:31:15,960 Speaker 4: twenty twenty six midterms, and for ages eighteen to twenty 559 00:31:16,040 --> 00:31:21,520 Speaker 4: one the generic ballot Republicans we were plus twelve and 560 00:31:21,680 --> 00:31:25,800 Speaker 4: for ages twenty two to twenty nine, Democrats were plus six. 561 00:31:26,040 --> 00:31:28,960 Speaker 4: So you do see that split playing out, even thinking 562 00:31:29,000 --> 00:31:30,760 Speaker 4: towards twenty twenty six as well. 563 00:31:31,880 --> 00:31:36,120 Speaker 1: So let's do two seconds on what this split means. 564 00:31:36,520 --> 00:31:41,160 Speaker 1: For example, does this mean that TikTok is making young 565 00:31:41,200 --> 00:31:42,560 Speaker 1: people more conservative? 566 00:31:43,000 --> 00:31:45,400 Speaker 4: I don't know if we can say it as clear 567 00:31:45,480 --> 00:31:48,400 Speaker 4: cut as that, but I think what it means is 568 00:31:48,440 --> 00:31:51,640 Speaker 4: that older gen Zers and younger gen Zers are just 569 00:31:51,680 --> 00:31:57,000 Speaker 4: consuming content, news and information totally differently, and that is 570 00:31:57,080 --> 00:32:00,680 Speaker 4: changing their politics, and I think that it also one 571 00:32:00,760 --> 00:32:02,680 Speaker 4: of the things that is both related to some of 572 00:32:02,720 --> 00:32:05,600 Speaker 4: this anti authority sentiment that came out of the pandemic 573 00:32:05,640 --> 00:32:07,520 Speaker 4: and also might be related to the type of content 574 00:32:07,520 --> 00:32:08,720 Speaker 4: that's consumed on TikTok. 575 00:32:08,880 --> 00:32:11,680 Speaker 5: The type of content that does well on TikTok is 576 00:32:11,840 --> 00:32:16,880 Speaker 5: very off the cuff, very pithy, not highly filtered or 577 00:32:17,000 --> 00:32:21,200 Speaker 5: edited content, but it feels more raw and perhaps more organic. 578 00:32:21,560 --> 00:32:25,560 Speaker 5: And that is sort of similar to the way in 579 00:32:25,600 --> 00:32:31,040 Speaker 5: which President Trump talks right like, he speaks in sound 580 00:32:31,040 --> 00:32:33,960 Speaker 5: bites most of the time. He is very punchy. 581 00:32:34,440 --> 00:32:39,400 Speaker 4: He is perceived as being unfiltered, and so there's sort 582 00:32:39,440 --> 00:32:42,080 Speaker 4: of a correlation there in the type of content that 583 00:32:42,120 --> 00:32:45,600 Speaker 4: does well on TikTok and the way that Trump and 584 00:32:45,760 --> 00:32:48,040 Speaker 4: members of the MAGA movement communicate. 585 00:32:48,560 --> 00:32:51,360 Speaker 1: Yeah, So one of the things I think when I 586 00:32:51,400 --> 00:32:55,440 Speaker 1: think about this election is Trump right before the election, 587 00:32:55,560 --> 00:32:58,600 Speaker 1: he did all of these podcasts, He did Joe Rogan, 588 00:32:58,760 --> 00:33:02,480 Speaker 1: he did theovonn did all of this new media, and 589 00:33:02,520 --> 00:33:05,280 Speaker 1: he also introduced a lot of ideas that he probably 590 00:33:05,320 --> 00:33:09,560 Speaker 1: wasn't going to actually put into play, things like you know, 591 00:33:09,680 --> 00:33:11,640 Speaker 1: he was going to make bitcoin great again, he was 592 00:33:11,680 --> 00:33:13,920 Speaker 1: going to sell sneakers he was going to. He sort 593 00:33:13,920 --> 00:33:16,360 Speaker 1: of obfuscated a lot of stuff. Did that work? Is 594 00:33:16,360 --> 00:33:18,040 Speaker 1: that what you're saying that it worked? And did it 595 00:33:18,080 --> 00:33:20,960 Speaker 1: work with younger people and not older people? Did COVID 596 00:33:21,000 --> 00:33:23,720 Speaker 1: set this up? Like, tell me kind of where we 597 00:33:23,760 --> 00:33:24,760 Speaker 1: go with this information? 598 00:33:25,040 --> 00:33:25,240 Speaker 5: Yeah. 599 00:33:25,280 --> 00:33:27,240 Speaker 4: So one of the things that I think Republicans did 600 00:33:27,280 --> 00:33:29,120 Speaker 4: really well in the lead up to the twenty twenty 601 00:33:29,160 --> 00:33:31,640 Speaker 4: four election, and Trump in particular did well, was that 602 00:33:32,120 --> 00:33:38,480 Speaker 4: he politically coded culture, whereas Democrats were culturally coding politics. 603 00:33:38,520 --> 00:33:40,000 Speaker 5: So what I mean by that is that. 604 00:33:39,960 --> 00:33:42,440 Speaker 1: Yeah, you got to say it two more times too. 605 00:33:42,920 --> 00:33:46,320 Speaker 4: So Trump and Republicans in the lead up to the 606 00:33:46,360 --> 00:33:52,360 Speaker 4: twenty twenty four election politically coded culture, while Democrats and 607 00:33:52,480 --> 00:33:55,920 Speaker 4: Vice President Kamala Harris culturally coded politics. 608 00:33:56,440 --> 00:33:59,920 Speaker 1: Okay, politics is downstream of culture, right. 609 00:34:00,120 --> 00:34:03,960 Speaker 4: Yes, So what I mean by this political coding of 610 00:34:04,040 --> 00:34:08,799 Speaker 4: culture is that Trump and his allies would go into 611 00:34:08,880 --> 00:34:13,680 Speaker 4: cultural places, whether that meant going to UFC fights or 612 00:34:14,200 --> 00:34:19,320 Speaker 4: showing on these podcasts in this menosphere as it's been dubbed. 613 00:34:19,680 --> 00:34:22,839 Speaker 4: When he would go to these locations, he wasn't off 614 00:34:22,840 --> 00:34:25,319 Speaker 4: the bat talking about politics. He was just showing up 615 00:34:25,360 --> 00:34:28,920 Speaker 4: as himself as Trump, the former president who was running 616 00:34:28,960 --> 00:34:34,480 Speaker 4: for reelection, and he would have conversations, especially on these podcasts, 617 00:34:34,640 --> 00:34:37,480 Speaker 4: that had nothing to do with politics. He would talk 618 00:34:37,520 --> 00:34:41,640 Speaker 4: about his children, he would talk about his experience as 619 00:34:41,640 --> 00:34:45,480 Speaker 4: a businessman, he would talk about sports. Sometimes he would 620 00:34:45,560 --> 00:34:48,680 Speaker 4: just talk about things that were organic to whatever the 621 00:34:48,719 --> 00:34:53,319 Speaker 4: podcast conversation would typically be about. And same thing when 622 00:34:53,360 --> 00:34:55,040 Speaker 4: he would go to a UFC fight, he would go 623 00:34:55,120 --> 00:34:58,600 Speaker 4: there as Donald Trump, but he wouldn't make a campaign 624 00:34:58,680 --> 00:35:02,040 Speaker 4: rally out of it necessarily, whereas on the flip side, 625 00:35:02,280 --> 00:35:07,200 Speaker 4: you look at something like the rally that former Vice 626 00:35:07,239 --> 00:35:12,080 Speaker 4: President Kamala Harris held in Texas with Beyonce, and Beyonce 627 00:35:12,320 --> 00:35:15,880 Speaker 4: was there. Beyonce was talking about being a mother, and 628 00:35:16,080 --> 00:35:18,880 Speaker 4: the theme of the rally was about abortion access, but 629 00:35:18,960 --> 00:35:22,400 Speaker 4: Beyonce didn't singing. Beyonce didn't you know? It wasn't it 630 00:35:22,440 --> 00:35:26,040 Speaker 4: was a political event, and that I think was similar 631 00:35:26,120 --> 00:35:29,000 Speaker 4: to how Democrats would show up on some of these 632 00:35:29,040 --> 00:35:32,520 Speaker 4: podcasts as well. For example, when Kamala Harris went on 633 00:35:32,680 --> 00:35:37,320 Speaker 4: Alex Cooper's Call Her Daddy, the conversation was very political, right. 634 00:35:37,200 --> 00:35:40,240 Speaker 1: And it should have been just her schmoozing and talking 635 00:35:40,239 --> 00:35:41,640 Speaker 1: about cooking exactly. 636 00:35:41,760 --> 00:35:44,000 Speaker 4: So you know, we're starting to see some examples of 637 00:35:44,040 --> 00:35:46,959 Speaker 4: Democrats changing their strategy with this. I think a great 638 00:35:46,960 --> 00:35:50,680 Speaker 4: example is today this episode with peepoota judge on the 639 00:35:50,719 --> 00:35:53,360 Speaker 4: Flagrant podcast came out and that's a podcast that Trump 640 00:35:53,400 --> 00:35:56,279 Speaker 4: actually went on before the twenty twenty four election, and 641 00:35:56,560 --> 00:35:58,799 Speaker 4: I just started watching the episode. It literally just came out, 642 00:35:58,800 --> 00:36:01,160 Speaker 4: and at the start of the episode, boota judge is 643 00:36:01,200 --> 00:36:03,160 Speaker 4: talking about the White Lotus and how he thinks that 644 00:36:03,239 --> 00:36:05,200 Speaker 4: Lachlan should have died on the White Lotus, and so 645 00:36:05,239 --> 00:36:07,759 Speaker 4: it's a very relatable conversation that has nothing to do 646 00:36:07,840 --> 00:36:10,160 Speaker 4: with politics, and then they get into some of the 647 00:36:10,200 --> 00:36:13,960 Speaker 4: more political conversation about tariffs and taxes and immigration and 648 00:36:14,000 --> 00:36:17,120 Speaker 4: things like that. So you can see that Democrats are 649 00:36:17,160 --> 00:36:18,960 Speaker 4: starting to take note of this. But I think that 650 00:36:19,000 --> 00:36:22,000 Speaker 4: when you're looking at how young people are consuming content, 651 00:36:22,239 --> 00:36:26,000 Speaker 4: the strategy that Trump deployed ahead of the election was 652 00:36:26,040 --> 00:36:29,640 Speaker 4: super successful because it felt relatable to young people. And 653 00:36:30,000 --> 00:36:32,520 Speaker 4: one of the biggest things I hear from young people 654 00:36:32,680 --> 00:36:35,239 Speaker 4: is that they want a politician who they feel like 655 00:36:35,360 --> 00:36:39,640 Speaker 4: is just normal, who looks like, sounds like, talks like them. 656 00:36:40,200 --> 00:36:44,040 Speaker 4: And while you know there are definitely things that Trump 657 00:36:44,080 --> 00:36:46,520 Speaker 4: does not have in common with young people. He was 658 00:36:46,680 --> 00:36:51,440 Speaker 4: able to show up in the places that they're authentically 659 00:36:51,719 --> 00:36:55,320 Speaker 4: consuming in the podcast and reach them that way. 660 00:36:55,640 --> 00:36:58,040 Speaker 1: I want to go back to the Flagrant podcast from 661 00:36:58,080 --> 00:37:02,040 Speaker 1: it because Jesse just sent me a producer's note the 662 00:37:02,160 --> 00:37:04,960 Speaker 1: host of the Flagrant Podcast. I think we're getting at 663 00:37:05,000 --> 00:37:09,399 Speaker 1: something really important here. Andrew Schultz. He said that youth 664 00:37:09,520 --> 00:37:13,600 Speaker 1: voted for Trump cause he has three baby mothers. I'm 665 00:37:13,640 --> 00:37:16,160 Speaker 1: cleaning this up and gets a lot of action, so 666 00:37:16,920 --> 00:37:20,600 Speaker 1: romantic action. I can't believe I've become this person who 667 00:37:20,680 --> 00:37:24,160 Speaker 1: is saying romantic action instead of what is actually a 668 00:37:24,239 --> 00:37:28,280 Speaker 1: lot of cleaning. But I actually think what you're saying 669 00:37:28,440 --> 00:37:31,480 Speaker 1: is more correct, which is actually correct, which is Donald 670 00:37:31,480 --> 00:37:35,319 Speaker 1: Trump sold them a person, and Democrats tried to sell 671 00:37:35,360 --> 00:37:36,239 Speaker 1: them policy. 672 00:37:36,680 --> 00:37:39,560 Speaker 4: Yeah, And to be fair, like, I do think young 673 00:37:39,640 --> 00:37:42,080 Speaker 4: voters and I actually I know that young voters care 674 00:37:42,120 --> 00:37:44,759 Speaker 4: about issues that affect their daily lives. For sure, they 675 00:37:44,800 --> 00:37:48,319 Speaker 4: care way more about issues than they do about partisan politics. 676 00:37:48,360 --> 00:37:53,280 Speaker 4: They're prioritizing issues over party. But they wanted a candidate 677 00:37:53,320 --> 00:37:58,719 Speaker 4: who felt authentic, who felt like they were unscripted and 678 00:37:59,239 --> 00:38:01,719 Speaker 4: were saying what they meant and I think a lot 679 00:38:01,719 --> 00:38:04,000 Speaker 4: of this, and I write about this in that Washington 680 00:38:04,080 --> 00:38:07,320 Speaker 4: Post op ed as well, is that this is for 681 00:38:07,480 --> 00:38:09,880 Speaker 4: GenZ two point I'm in particular, they grew up at 682 00:38:09,960 --> 00:38:12,680 Speaker 4: the peak of cancel culture, where they had to be 683 00:38:12,920 --> 00:38:16,239 Speaker 4: very careful about what they said. And I've had a 684 00:38:16,239 --> 00:38:17,799 Speaker 4: lot of young people tell me it felt like they 685 00:38:17,800 --> 00:38:19,799 Speaker 4: were walking on eggshells, and they didn't want to walk 686 00:38:19,800 --> 00:38:23,320 Speaker 4: on eggshells anymore. And so what they appreciate about Trump 687 00:38:23,480 --> 00:38:25,640 Speaker 4: is that he doesn't walk on eggshells. He says what 688 00:38:25,680 --> 00:38:29,320 Speaker 4: he wants. He is able to get away with whatever 689 00:38:29,719 --> 00:38:32,440 Speaker 4: and say whatever, and it really flies in the face 690 00:38:32,520 --> 00:38:35,799 Speaker 4: of that pervasive cancel culture or political correctness that this 691 00:38:35,920 --> 00:38:41,160 Speaker 4: generation grew up with and is resentful of. And they 692 00:38:41,200 --> 00:38:45,160 Speaker 4: felt that Democrats were the party that was policing that language, 693 00:38:45,160 --> 00:38:48,799 Speaker 4: and that was largely responsible for that cancel culture. And 694 00:38:48,880 --> 00:38:51,799 Speaker 4: so you know, when you looked at Trump and this 695 00:38:51,920 --> 00:38:55,359 Speaker 4: quote from the podcast, I think the through line is 696 00:38:55,480 --> 00:38:58,520 Speaker 4: just that whether or not they agree with every single 697 00:38:58,520 --> 00:39:01,719 Speaker 4: one of his policy is views or every single thing 698 00:39:01,760 --> 00:39:04,640 Speaker 4: that he says, they do like the fact that he 699 00:39:04,840 --> 00:39:07,319 Speaker 4: does say what he means and is able to get 700 00:39:07,320 --> 00:39:11,440 Speaker 4: away with sometimes being controversial, oftentimes being controversial. 701 00:39:11,800 --> 00:39:14,839 Speaker 1: Some of this is COVID, some of this is canceled culture. 702 00:39:15,400 --> 00:39:20,440 Speaker 1: Some of this is just a rebellion to cancel culture 703 00:39:20,480 --> 00:39:21,000 Speaker 1: and COVID. 704 00:39:21,400 --> 00:39:23,640 Speaker 4: Yes, And I think that the cancel culture and COVID 705 00:39:23,680 --> 00:39:27,200 Speaker 4: peace are related because I think that while we started 706 00:39:27,200 --> 00:39:30,279 Speaker 4: to see cancel culture before COVID, it really took a 707 00:39:30,320 --> 00:39:32,920 Speaker 4: turn during COVID because we were all living our lives 708 00:39:32,920 --> 00:39:35,440 Speaker 4: online and so sort of and then there were these 709 00:39:35,520 --> 00:39:38,520 Speaker 4: restrictions that were in place where that were meant to 710 00:39:38,560 --> 00:39:41,080 Speaker 4: stop the spread of the virus and keep people safe, 711 00:39:41,160 --> 00:39:45,000 Speaker 4: and so if you went against that or refuse the 712 00:39:45,080 --> 00:39:49,879 Speaker 4: vaccine or things like that, there was this moral high 713 00:39:49,920 --> 00:39:52,560 Speaker 4: ground kind of associated with that, and so there was 714 00:39:52,600 --> 00:39:55,800 Speaker 4: a lot of judgment in shade being thrown at people. 715 00:39:56,040 --> 00:39:58,440 Speaker 4: And I think that when students started to go back 716 00:39:58,480 --> 00:40:01,360 Speaker 4: to school, they saw this plan out in their classrooms, 717 00:40:01,360 --> 00:40:04,120 Speaker 4: on their campuses. I'm the oldest of four, and I've 718 00:40:04,120 --> 00:40:06,719 Speaker 4: seen this with my younger siblings where they'll tell me 719 00:40:06,800 --> 00:40:10,120 Speaker 4: about certain situations where people are called out on social 720 00:40:10,160 --> 00:40:12,760 Speaker 4: media because they either did or did not post about 721 00:40:12,760 --> 00:40:15,520 Speaker 4: some sort of social issue or in the day, in 722 00:40:15,520 --> 00:40:17,880 Speaker 4: the earliest days when kids were going back to school, 723 00:40:18,080 --> 00:40:22,160 Speaker 4: if someone wasn't wearing their masks correctly, or if you know, 724 00:40:22,239 --> 00:40:25,040 Speaker 4: if they broke some sort of rule at school, there 725 00:40:25,160 --> 00:40:29,480 Speaker 4: was judgment and there was and everyone kind of got involved. 726 00:40:29,560 --> 00:40:31,560 Speaker 4: And so I think the cancel culture that sort of 727 00:40:31,600 --> 00:40:34,920 Speaker 4: started as this online conversation started to seep into the 728 00:40:34,920 --> 00:40:38,839 Speaker 4: real world lives of young people and it just is 729 00:40:39,000 --> 00:40:42,880 Speaker 4: exhausting for them, and it and you know, then I 730 00:40:42,920 --> 00:40:45,520 Speaker 4: think this is also a part of the right word shift, 731 00:40:45,800 --> 00:40:48,399 Speaker 4: is that they think about their life before COVID and 732 00:40:49,000 --> 00:40:52,320 Speaker 4: if they were eighteen in the twenty twenty for election, 733 00:40:52,520 --> 00:40:54,880 Speaker 4: you know, they were really really young when Trump was 734 00:40:54,920 --> 00:40:57,160 Speaker 4: in office the first time, and so they don't really 735 00:40:57,200 --> 00:40:59,480 Speaker 4: remember that time period. They might not know about the 736 00:40:59,520 --> 00:41:02,080 Speaker 4: politics of it, but they you know, if they were 737 00:41:02,160 --> 00:41:03,840 Speaker 4: let's say they're in fourth grade at the time, like 738 00:41:03,880 --> 00:41:05,200 Speaker 4: life was probably pretty good. 739 00:41:05,520 --> 00:41:07,640 Speaker 5: And so they think back to, oh, when Trump. 740 00:41:07,400 --> 00:41:09,960 Speaker 4: Was in office and they were in elementary school and 741 00:41:10,000 --> 00:41:13,279 Speaker 4: like had no worry in the world, and so why 742 00:41:13,360 --> 00:41:15,480 Speaker 4: not want Trump to be back in office again? 743 00:41:15,560 --> 00:41:17,600 Speaker 5: If that's the association, right. 744 00:41:17,680 --> 00:41:21,320 Speaker 1: And I think that is insane, but it's certainly something 745 00:41:21,400 --> 00:41:25,040 Speaker 1: we've seen the tracks and historically this is what happened 746 00:41:25,080 --> 00:41:29,319 Speaker 1: after the nineteen eighteen flu pandemic too, This idea that 747 00:41:29,560 --> 00:41:32,040 Speaker 1: the real world is too painful and so we'll go 748 00:41:32,120 --> 00:41:35,920 Speaker 1: back to a time when things don't seem as scary, 749 00:41:36,200 --> 00:41:37,799 Speaker 1: totally don't seem as well. 750 00:41:38,080 --> 00:41:40,200 Speaker 4: And Trump taps into that too, of course, because his 751 00:41:40,280 --> 00:41:43,480 Speaker 4: whole message is about making America great again, and so 752 00:41:43,680 --> 00:41:47,400 Speaker 4: it taps into that nostalgia that is really present within 753 00:41:47,920 --> 00:41:50,919 Speaker 4: gen Z. And I've written about this where I've said 754 00:41:50,920 --> 00:41:53,960 Speaker 4: that the nostalgia's for a time period that they never experienced. 755 00:41:54,040 --> 00:41:57,279 Speaker 4: A lot of the never existed, right exactly, but it 756 00:41:57,440 --> 00:42:00,000 Speaker 4: is something that they've grown up a mid constant crisis, 757 00:42:00,200 --> 00:42:02,640 Speaker 4: and so it's kind of like a reprieve from reality. 758 00:42:02,880 --> 00:42:04,800 Speaker 5: To envision that type of a world. 759 00:42:05,120 --> 00:42:07,080 Speaker 1: I would like a reprieve from reality. 760 00:42:07,200 --> 00:42:10,160 Speaker 5: Thank you, Rachel, Thank you so much, Molly. I loved 761 00:42:10,200 --> 00:42:10,920 Speaker 5: our conversation. 762 00:42:13,600 --> 00:42:20,359 Speaker 6: No mofectly Jesse Cannon so bally, We've well known that 763 00:42:20,440 --> 00:42:24,640 Speaker 6: the elites have these private clubs, but usually the price 764 00:42:24,719 --> 00:42:26,440 Speaker 6: tag to get into the like you know, a soho 765 00:42:26,560 --> 00:42:30,680 Speaker 6: houses a measly few thousand dollars in an application, but 766 00:42:30,840 --> 00:42:34,080 Speaker 6: a half a million dollars to get into a private 767 00:42:34,120 --> 00:42:37,120 Speaker 6: club with exclusive access to Trump's cabinet. 768 00:42:37,239 --> 00:42:38,120 Speaker 2: Now that's something. 769 00:42:38,960 --> 00:42:42,040 Speaker 1: Sure, there are private clubs that are that expensive, but 770 00:42:42,280 --> 00:42:44,000 Speaker 1: you have to be willing to pay it to hang 771 00:42:44,040 --> 00:42:46,800 Speaker 1: out with Don Junior. I mean, all of this seems 772 00:42:46,880 --> 00:42:50,160 Speaker 1: ridiculous to me. Launch of the executive branch comes as 773 00:42:50,200 --> 00:42:53,920 Speaker 1: Trump World looks to remake Washington. Good luck, guys, a 774 00:42:54,040 --> 00:42:57,959 Speaker 1: new club. So this is Donald Trump's mega donor. I'm 775 00:42:58,040 --> 00:43:01,200 Speaker 1: sure that a lot of people this club will have tattoos. 776 00:43:01,360 --> 00:43:07,360 Speaker 1: It's involved with Trump's seventeen eighty nine conservative venture funder. 777 00:43:07,640 --> 00:43:10,640 Speaker 1: I guess it's a hedge fund. Seventeen eighty nine capital 778 00:43:11,120 --> 00:43:16,080 Speaker 1: referral requirements are that you paint yourself orange and married 779 00:43:16,120 --> 00:43:21,200 Speaker 1: to someone with very white blonde hair, and have had 780 00:43:21,440 --> 00:43:24,800 Speaker 1: multiple rounds of plastic surgery so that these c suite 781 00:43:24,920 --> 00:43:28,880 Speaker 1: crowd can mingle with Trump advisors and cabinet members without 782 00:43:28,920 --> 00:43:32,279 Speaker 1: the prying eyes of the press, and want to be insiders. 783 00:43:32,480 --> 00:43:35,799 Speaker 1: This is what happens when you don't have any writers 784 00:43:36,040 --> 00:43:40,200 Speaker 1: in your inner circle want to be insiders. The price 785 00:43:40,280 --> 00:43:43,640 Speaker 1: tag won't be a problem for Trump's cabinet, given it 786 00:43:43,719 --> 00:43:46,880 Speaker 1: is by far the wealthiest in history, and the club 787 00:43:46,960 --> 00:43:51,839 Speaker 1: already has a waitlist. Oh well, another heartbreak. But if 788 00:43:51,880 --> 00:43:54,719 Speaker 1: you do get into this club, you can hang out 789 00:43:54,719 --> 00:43:59,360 Speaker 1: with David Socks, I mean Sacks and Donald Trump Junior. 790 00:44:00,080 --> 00:44:02,480 Speaker 1: And it's such a good club that they had their 791 00:44:02,560 --> 00:44:05,840 Speaker 1: party at the Willard Hotel, which is not the club. 792 00:44:06,360 --> 00:44:09,799 Speaker 1: So we'll see how this goes, and good luck to 793 00:44:10,080 --> 00:44:13,960 Speaker 1: all we celebrate. I'm sure this is going to be great. 794 00:44:14,080 --> 00:44:15,439 Speaker 2: Oh yeah, I can't wait. 795 00:44:16,400 --> 00:44:20,759 Speaker 1: That's it for this episode of Fast Politics. Tune in 796 00:44:21,040 --> 00:44:26,520 Speaker 1: every Monday, Wednesday, Thursday, and Saturday to hear the best 797 00:44:26,600 --> 00:44:30,879 Speaker 1: minds and politics make sense of all this chaos. If 798 00:44:30,920 --> 00:44:33,960 Speaker 1: you enjoy this podcast, please send it to a friend 799 00:44:34,400 --> 00:44:37,640 Speaker 1: and keep the conversation going. Thanks for listening.