1 00:00:00,640 --> 00:00:04,160 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,360 --> 00:00:07,120 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:11,720 Speaker 1: today's best minds. And Gavin Newsom sues Fox News for 4 00:00:11,880 --> 00:00:16,920 Speaker 1: seven hundred and eighty seven million dollars in a defamation 5 00:00:17,280 --> 00:00:21,400 Speaker 1: case over Trump's call. We have such a great show 6 00:00:21,440 --> 00:00:24,640 Speaker 1: for you today. The New Yorkers Evan Osnos stops by 7 00:00:24,800 --> 00:00:28,800 Speaker 1: to talk about the richest people on Earth and the 8 00:00:28,880 --> 00:00:32,760 Speaker 1: wedding that a lot of people are talking about. Then 9 00:00:33,200 --> 00:00:39,360 Speaker 1: we'll talk to Meredith Shiner about her article why primary 10 00:00:39,600 --> 00:00:42,680 Speaker 1: every sitting Democrat? But first we have a special bonus 11 00:00:42,720 --> 00:00:48,520 Speaker 1: interview with Democratic strategist Rebecca Katz about how Democrats win. 12 00:00:48,880 --> 00:00:53,720 Speaker 2: My birthright citizenship. The Supreme Court has come for this 13 00:00:53,800 --> 00:00:58,320 Speaker 2: is really really sickening stuff. And we've had a week 14 00:00:58,400 --> 00:01:02,760 Speaker 2: of really bad Supreme Court rulings and this takes the cake, 15 00:01:02,960 --> 00:01:06,520 Speaker 2: the cake factory, the batter, mix, the whole fucking thing. 16 00:01:06,520 --> 00:01:11,160 Speaker 1: In my opinion, the surgical term for this is very fucked. Okay, 17 00:01:11,360 --> 00:01:15,040 Speaker 1: Supreme Court limited the ability of federal judges to temporarily 18 00:01:15,120 --> 00:01:18,480 Speaker 1: pause Trump's executive orders. This is a huge victory for Trump, 19 00:01:18,800 --> 00:01:22,840 Speaker 1: but they made no ruling on the constitutionality of his 20 00:01:22,959 --> 00:01:28,320 Speaker 1: move to end birthright citizenship. Basically, Trump can't end birthright citizenship. 21 00:01:28,360 --> 00:01:32,080 Speaker 1: Trump probably didn't even think he could end birthright citizenship. 22 00:01:32,200 --> 00:01:35,880 Speaker 1: This was always about trying to make it so that 23 00:01:36,080 --> 00:01:41,280 Speaker 1: lower courts couldn't interrupt his judicial rulings. So this is 24 00:01:41,440 --> 00:01:44,839 Speaker 1: actually a win for him. But it's not so much 25 00:01:44,920 --> 00:01:49,760 Speaker 1: about birthright citizenship as it is about executive orders and 26 00:01:50,240 --> 00:01:54,320 Speaker 1: the courts trying to have power over them. It's bad 27 00:01:54,400 --> 00:01:57,960 Speaker 1: because it gives Trump even more power. We shouldn't be 28 00:01:58,000 --> 00:02:04,320 Speaker 1: surprised because this Supreme Court is pretty partisan and deeply, deeply, 29 00:02:05,000 --> 00:02:09,120 Speaker 1: deeply trumpy. I think it's worth reading what Justice Sonya 30 00:02:09,200 --> 00:02:13,600 Speaker 1: Sotomayar wrote in the dissent. She said the majority's decision 31 00:02:13,680 --> 00:02:16,280 Speaker 1: is a travesty for the rule of law. The Majority 32 00:02:16,320 --> 00:02:18,760 Speaker 1: stress that it was not addressing the merits of Trump's 33 00:02:18,919 --> 00:02:23,400 Speaker 1: attempt to end automatic citizenship for babies born on US soil, 34 00:02:23,800 --> 00:02:28,600 Speaker 1: But instead they're saying that his administration can in fact 35 00:02:28,720 --> 00:02:33,040 Speaker 1: make these executive orders and the lower courts can't necessarily 36 00:02:33,080 --> 00:02:33,600 Speaker 1: pause them. 37 00:02:33,960 --> 00:02:38,000 Speaker 2: Yeah. This on the heels of as well saying that 38 00:02:38,200 --> 00:02:42,880 Speaker 2: states can block plan parenthood funding or really any dystopia. 39 00:02:42,960 --> 00:02:43,480 Speaker 2: This week. 40 00:02:43,800 --> 00:02:47,280 Speaker 1: Yeah, Oh, this is fucking insane. I mean, it's such 41 00:02:47,280 --> 00:02:51,480 Speaker 1: an insane thing for the Trump administration to get more 42 00:02:51,760 --> 00:02:55,080 Speaker 1: and more from the Supreme Court, which doesn't need to 43 00:02:55,120 --> 00:02:59,000 Speaker 1: do this, which and it does really remind you of 44 00:02:59,400 --> 00:03:02,760 Speaker 1: just how how much this court is really in the 45 00:03:02,760 --> 00:03:06,000 Speaker 1: pocket of Trump, because we certainly have seen Justice Amy 46 00:03:06,520 --> 00:03:10,120 Speaker 1: and Justice Roberts side with the liberals. We've seen that 47 00:03:10,160 --> 00:03:13,079 Speaker 1: a few times, and it really is worth remembering that 48 00:03:13,080 --> 00:03:16,320 Speaker 1: that is very much that's not in the majority. Most 49 00:03:16,320 --> 00:03:19,119 Speaker 1: of the time they side with the other conservatives. Most 50 00:03:19,120 --> 00:03:21,600 Speaker 1: of the time they rubber stamp whatever Trump wants. And 51 00:03:21,680 --> 00:03:24,560 Speaker 1: remember this was never about birthright citizenship. It was really 52 00:03:24,600 --> 00:03:28,720 Speaker 1: about the Trump administration having executive orders that had even 53 00:03:28,760 --> 00:03:31,639 Speaker 1: more power to go against the courts. So it sets 54 00:03:31,680 --> 00:03:34,240 Speaker 1: Trump up for being able to do some really crazy 55 00:03:34,280 --> 00:03:36,160 Speaker 1: shit at the end of the at the end of 56 00:03:36,240 --> 00:03:39,920 Speaker 1: season two, Democracy in peril, and I think we'll probably 57 00:03:40,000 --> 00:03:44,160 Speaker 1: see that. It's scary, it's bad. And again it's worth 58 00:03:44,160 --> 00:03:47,320 Speaker 1: remembering if you're waiting for this Supreme Court to run 59 00:03:47,360 --> 00:03:50,640 Speaker 1: a check on Trump, it's going to be very, very 60 00:03:50,920 --> 00:03:52,800 Speaker 1: very unusual for them to do it. 61 00:03:53,400 --> 00:03:57,240 Speaker 2: Yeah, So the housing market, this graph that I just 62 00:03:57,280 --> 00:03:59,640 Speaker 2: looked at, it's kind of the opposite of what you'd 63 00:03:59,640 --> 00:04:01,480 Speaker 2: want to say in a graph on the housing market. 64 00:04:01,640 --> 00:04:04,880 Speaker 2: It looks like it's falling off a cliff. Not very good. 65 00:04:05,360 --> 00:04:10,560 Speaker 1: Yeah, this is really bad. And part of what's going 66 00:04:10,600 --> 00:04:14,240 Speaker 1: on here is that people are scared, right, they don't 67 00:04:14,280 --> 00:04:17,400 Speaker 1: know what's going to happen. Trump behaves very erradically. We 68 00:04:17,480 --> 00:04:20,559 Speaker 1: were promised ninety deals in ninety days. We have half 69 00:04:20,600 --> 00:04:23,920 Speaker 1: a deal and we're almost at eighty days. And you know, 70 00:04:24,120 --> 00:04:28,000 Speaker 1: for people to make huge financial decisions, they're just waiting. 71 00:04:28,160 --> 00:04:30,479 Speaker 1: And what that means is that they're not buying houses. 72 00:04:30,520 --> 00:04:32,960 Speaker 1: And when they're not buying houses, then the value of 73 00:04:33,000 --> 00:04:35,960 Speaker 1: houses go down. And this is not rocket science. Look 74 00:04:36,120 --> 00:04:39,000 Speaker 1: in Trump one point zero, he passed a monster tax 75 00:04:39,040 --> 00:04:41,920 Speaker 1: cut and then he did some tariffs. And Trump two 76 00:04:41,920 --> 00:04:44,599 Speaker 1: point zero he did a lot of tariffs and can't 77 00:04:44,640 --> 00:04:47,839 Speaker 1: pass the monster tax cut. In fact, the monster tax 78 00:04:47,880 --> 00:04:52,600 Speaker 1: cut will eventually expire if these guys don't pass something. 79 00:04:53,120 --> 00:04:55,839 Speaker 1: So this is why the economy is not happy. And 80 00:04:55,880 --> 00:04:59,320 Speaker 1: we're seeing a lot of soft data that shows us 81 00:04:59,360 --> 00:05:02,320 Speaker 1: and consumers sentiment is down, that people are not buying houses, 82 00:05:02,360 --> 00:05:05,200 Speaker 1: people are nervous, and it only takes a while for 83 00:05:05,279 --> 00:05:10,279 Speaker 1: that nervousness to morph into a recession. Right, people don't 84 00:05:10,320 --> 00:05:14,839 Speaker 1: spend money, then money doesn't get spent. Then the economy shrinks. 85 00:05:15,160 --> 00:05:19,239 Speaker 1: The shrinking means a recession. The recession means less money, 86 00:05:19,760 --> 00:05:21,960 Speaker 1: less money, it means less jobs. I mean, this is 87 00:05:22,080 --> 00:05:25,600 Speaker 1: where this goes. So again, you could have Donald Trump 88 00:05:25,680 --> 00:05:28,920 Speaker 1: in the trade war tomorrow, or you could have Congress 89 00:05:29,080 --> 00:05:31,760 Speaker 1: take back their power on tariffs. But they're not doing 90 00:05:31,800 --> 00:05:34,040 Speaker 1: it because they're scared of Trump, because they gave away 91 00:05:34,040 --> 00:05:37,160 Speaker 1: their power because they refuse to stand up for their constituents. 92 00:05:37,240 --> 00:05:39,920 Speaker 1: And so you find yourself in a situation where everyone 93 00:05:40,000 --> 00:05:42,560 Speaker 1: is waiting on this made up trade war. And we'll 94 00:05:42,560 --> 00:05:44,120 Speaker 1: see if we slip into a recession. 95 00:05:44,279 --> 00:05:47,400 Speaker 2: Speaking of things, we're about to see John thun under 96 00:05:47,440 --> 00:05:48,960 Speaker 2: a lot of pressure of the poor guy. 97 00:05:49,160 --> 00:05:51,760 Speaker 1: Yeah, it's hard. I hope he has time to ten. 98 00:05:52,200 --> 00:05:54,520 Speaker 2: Yes, I'm not poured one out for him. Impoortant, like 99 00:05:54,560 --> 00:05:56,320 Speaker 2: three or four out for him because I'm just so 100 00:05:56,360 --> 00:05:58,960 Speaker 2: sad for him. The big bullshit bill, it's got to 101 00:05:59,000 --> 00:06:01,240 Speaker 2: get through the parliamentary, it's got to get through all 102 00:06:01,320 --> 00:06:03,480 Speaker 2: these hoops got to get passed. If he doesn't want 103 00:06:03,480 --> 00:06:05,960 Speaker 2: to upset mister Trump. It's not looking good for him. 104 00:06:06,160 --> 00:06:08,720 Speaker 1: Yeah, it's very sad. Is he going to be okay? Oh, 105 00:06:08,760 --> 00:06:09,480 Speaker 1: I don't care. 106 00:06:09,920 --> 00:06:12,480 Speaker 2: Well, I'll tell you see, this is a lie that 107 00:06:12,520 --> 00:06:14,960 Speaker 2: you don't care because there's one thing in here that 108 00:06:15,040 --> 00:06:17,080 Speaker 2: you care a lot about, the salt text. 109 00:06:19,000 --> 00:06:22,640 Speaker 1: Shut up. Here's what's going on, and there's a lot 110 00:06:22,680 --> 00:06:24,800 Speaker 1: of shit in this bill. They want to get it 111 00:06:24,839 --> 00:06:26,960 Speaker 1: passed by July fourth. Do you know what day it. 112 00:06:27,000 --> 00:06:27,760 Speaker 3: Is right now? 113 00:06:28,080 --> 00:06:30,120 Speaker 2: It is June twenty seventh. I'm very aware because I 114 00:06:30,160 --> 00:06:31,480 Speaker 2: have to catch up flight very soon. 115 00:06:31,880 --> 00:06:36,000 Speaker 1: June twenty seventh. You know what's not happening of Vodorama today? 116 00:06:36,200 --> 00:06:38,599 Speaker 1: Do you know what that means? That means this fucking 117 00:06:38,640 --> 00:06:41,760 Speaker 1: bill is not getting passed by July fourth. So Trump 118 00:06:41,839 --> 00:06:45,480 Speaker 1: is now trying to muscle the members of the Senate 119 00:06:45,560 --> 00:06:48,960 Speaker 1: and the House into passing this thing. I think that 120 00:06:49,080 --> 00:06:51,560 Speaker 1: it's not going to work, but we will see. He's 121 00:06:51,760 --> 00:06:55,320 Speaker 1: certainly going to try. And you know, there's a lot 122 00:06:55,360 --> 00:06:58,279 Speaker 1: of evidence to support the idea that this is not 123 00:06:58,320 --> 00:07:01,040 Speaker 1: going to work. But we'll see, right, we will say, 124 00:07:04,800 --> 00:07:07,560 Speaker 1: And now the news. Evan os Nos is a writer 125 00:07:07,640 --> 00:07:10,000 Speaker 1: for The New Yorker and the author of The Haves 126 00:07:10,040 --> 00:07:15,880 Speaker 1: and the Have Yachts. Welcome Too Fast Politics, Evan. 127 00:07:15,680 --> 00:07:18,040 Speaker 4: Os nose Hi, Molly junk Fast. 128 00:07:18,800 --> 00:07:21,280 Speaker 1: I'm so excited to have you here. I feel like 129 00:07:21,520 --> 00:07:24,080 Speaker 1: you are trying not to crack up because I'm wearing 130 00:07:24,160 --> 00:07:25,720 Speaker 1: like thic TV makeup. 131 00:07:25,560 --> 00:07:28,040 Speaker 5: But some of my best friends wear thick TV makes 132 00:07:28,120 --> 00:07:30,400 Speaker 5: Let's be honest. This is this is this is the 133 00:07:30,440 --> 00:07:31,600 Speaker 5: time we live in. 134 00:07:32,640 --> 00:07:36,880 Speaker 1: So we we have you here to talk about your 135 00:07:37,160 --> 00:07:41,160 Speaker 1: excellent collection of essays the Have and the Have Yachts. 136 00:07:41,600 --> 00:07:44,080 Speaker 1: But I'm also going to talk to you about other stuff. 137 00:07:44,120 --> 00:07:47,560 Speaker 1: I'm sorry, that's okay. I do widen my reading and 138 00:07:47,600 --> 00:07:50,960 Speaker 1: thinking of it these days. But so talk to me 139 00:07:51,000 --> 00:07:52,800 Speaker 1: about the Have and the Have Yachts. You put together 140 00:07:53,200 --> 00:07:58,080 Speaker 1: collection of really smart and interesting essays. How do you 141 00:07:58,120 --> 00:07:59,960 Speaker 1: get to do that? Because I want to do no now. 142 00:08:00,040 --> 00:08:04,760 Speaker 5: I'm well, I'll tell you one thing, which is, there 143 00:08:04,800 --> 00:08:08,320 Speaker 5: are ideas that come along and you sometimes think this 144 00:08:08,360 --> 00:08:11,880 Speaker 5: is a topic that I feel like is of interest 145 00:08:11,920 --> 00:08:16,080 Speaker 5: to me. In this particular case, the big blinking topic 146 00:08:16,440 --> 00:08:19,680 Speaker 5: was that we're living through an era of really almost 147 00:08:19,800 --> 00:08:25,040 Speaker 5: unprecedented wealth creation. But of course, big you know, shocker, 148 00:08:25,480 --> 00:08:29,280 Speaker 5: it's not being particularly widely distributed, and so it's this, 149 00:08:29,760 --> 00:08:33,160 Speaker 5: I know, a news break, but that combination of facts 150 00:08:33,200 --> 00:08:36,040 Speaker 5: is really interesting. But what I didn't honestly anticipate was 151 00:08:36,040 --> 00:08:38,880 Speaker 5: that there would be this conjunction of events this summer 152 00:08:38,880 --> 00:08:45,120 Speaker 5: that seemed to drive this point into our into our focus. 153 00:08:45,160 --> 00:08:47,360 Speaker 5: I mean, I don't know if you've heard, but there's 154 00:08:47,480 --> 00:08:50,960 Speaker 5: a wedding going on in Venice, Italy that seems to 155 00:08:51,000 --> 00:08:54,400 Speaker 5: be rather enlivening the subject of the haves and the 156 00:08:54,440 --> 00:08:57,840 Speaker 5: haveats with some vibrant detail. 157 00:08:58,679 --> 00:08:59,960 Speaker 4: So are you. 158 00:09:03,000 --> 00:09:07,880 Speaker 1: Yes, I'm in Venice with the Kardashians and Jeff Bezos. 159 00:09:08,280 --> 00:09:11,760 Speaker 1: You can tell because I have enormous filler in my 160 00:09:11,880 --> 00:09:16,800 Speaker 1: upper lip. Oh wait, so I wonder. Yeah, this wedding 161 00:09:16,880 --> 00:09:20,400 Speaker 1: has been such an is really an interesting case study 162 00:09:21,080 --> 00:09:26,280 Speaker 1: in what I think has been really interesting that we've seen, uh, 163 00:09:26,360 --> 00:09:30,600 Speaker 1: this new group of billionaires do, which is not do 164 00:09:30,800 --> 00:09:32,880 Speaker 1: any of this sort of giving place. So we had 165 00:09:32,960 --> 00:09:37,280 Speaker 1: a group of billionaires that I'm thinking of like Warren 166 00:09:37,320 --> 00:09:46,480 Speaker 1: Buffetts and you know, even Mackenzie Bezos. You know that 167 00:09:46,800 --> 00:09:51,520 Speaker 1: these people who really were bloomberg to to a certain extent, 168 00:09:51,640 --> 00:09:54,920 Speaker 1: you know, even the the Koch brothers did some of this. 169 00:09:55,240 --> 00:09:58,840 Speaker 1: You know, there's been a really a long tradition of 170 00:09:58,960 --> 00:10:03,200 Speaker 1: if you are a billionaire, you know, supporting museums and 171 00:10:03,320 --> 00:10:07,000 Speaker 1: hospitals and doing good public works. Now Elon Musk has 172 00:10:07,040 --> 00:10:10,840 Speaker 1: a family office and a foundation that has been in 173 00:10:10,880 --> 00:10:17,120 Speaker 1: trouble for giving so little money. Bezos, is that complicated? 174 00:10:17,679 --> 00:10:21,800 Speaker 1: So talk us through what these new sort of billionaires 175 00:10:21,800 --> 00:10:25,400 Speaker 1: who don't give any money to charity, what the thinking 176 00:10:25,480 --> 00:10:25,880 Speaker 1: there is. 177 00:10:26,600 --> 00:10:30,400 Speaker 5: It's a really fascinating development because, as you described, there 178 00:10:30,520 --> 00:10:34,920 Speaker 5: was a period about ten years ago when the mainstream 179 00:10:35,080 --> 00:10:39,760 Speaker 5: view among the wealthiest people in America, or certainly at 180 00:10:39,840 --> 00:10:43,360 Speaker 5: least among the most prominent figures people like Bill Gates 181 00:10:43,360 --> 00:10:47,439 Speaker 5: and Melinda Gates and Warren Buffett, that they were signing 182 00:10:47,440 --> 00:10:49,920 Speaker 5: on to the giving pledge. They were devoting the lion's 183 00:10:49,920 --> 00:10:52,840 Speaker 5: share of their fortune to philanthropic initiatives, and that was 184 00:10:53,000 --> 00:10:56,040 Speaker 5: let's remind ourselves. I mean, that's a long standing American tradition, 185 00:10:56,200 --> 00:10:58,400 Speaker 5: goes back to the Carnegie and the Rockefellers, and we 186 00:10:58,440 --> 00:11:03,120 Speaker 5: have always historically as a country been more philanthropic than 187 00:11:03,280 --> 00:11:08,679 Speaker 5: other comparable countries. I mean, the next closest philanthropic competitor 188 00:11:08,720 --> 00:11:11,320 Speaker 5: in a sense is the United Kingdom and we give 189 00:11:11,360 --> 00:11:14,880 Speaker 5: about three times as much just as a as a 190 00:11:14,880 --> 00:11:17,520 Speaker 5: as a as as a fact. However, there's been a 191 00:11:17,600 --> 00:11:21,160 Speaker 5: change and that the current crowd, dominated of course by 192 00:11:21,320 --> 00:11:25,920 Speaker 5: musk by Bezos, adheres to a different philosophy, which is 193 00:11:25,960 --> 00:11:30,800 Speaker 5: that in a sense they believe that their businesses are 194 00:11:31,559 --> 00:11:35,920 Speaker 5: a substantial and almost adequate form of diving, and that 195 00:11:36,080 --> 00:11:38,280 Speaker 5: I think that there's a you know, what's fascinating about 196 00:11:38,320 --> 00:11:40,320 Speaker 5: that to me is that it reminds us that there 197 00:11:40,360 --> 00:11:43,200 Speaker 5: are fashions people. 198 00:11:43,679 --> 00:11:45,079 Speaker 1: I'm sorry, go on, yeah, yeah. 199 00:11:44,920 --> 00:11:47,520 Speaker 5: Yeah, Well that's there's that's that was a little bit 200 00:11:47,600 --> 00:11:50,280 Speaker 5: like the inner monologue and the outer monologue. But I 201 00:11:50,320 --> 00:11:54,800 Speaker 5: think what it is is that there are, like any community, 202 00:11:54,960 --> 00:11:59,559 Speaker 5: there are ideas that pass through and almost like you know, 203 00:11:59,640 --> 00:12:02,800 Speaker 5: quite literally, like fashions, and they will take over the 204 00:12:02,800 --> 00:12:04,800 Speaker 5: same way that they can take over a high school 205 00:12:04,800 --> 00:12:07,000 Speaker 5: about what it is that is the cool thing to 206 00:12:07,040 --> 00:12:09,400 Speaker 5: do or what is the wrong thing to do, and 207 00:12:09,480 --> 00:12:12,880 Speaker 5: at the moment the dominant idea. And I say this 208 00:12:13,200 --> 00:12:15,480 Speaker 5: having interviewed a lot of I mean a lot of 209 00:12:15,480 --> 00:12:18,840 Speaker 5: people for the course of this book who have enormous fortunes, 210 00:12:18,840 --> 00:12:21,240 Speaker 5: who have made it in technology and elsewhere, and their 211 00:12:21,360 --> 00:12:24,400 Speaker 5: view is that they tried to get along with the 212 00:12:24,400 --> 00:12:27,480 Speaker 5: East Coast elite. They tried to play our game in 213 00:12:27,520 --> 00:12:30,520 Speaker 5: a sense, as they would put it, and meaning that 214 00:12:30,559 --> 00:12:33,920 Speaker 5: they gave to the big organizations and that they felt 215 00:12:33,920 --> 00:12:37,920 Speaker 5: like they were rejected that finally in the end, well 216 00:12:38,000 --> 00:12:39,480 Speaker 5: this is yeah, I could there is. 217 00:12:39,440 --> 00:12:41,560 Speaker 1: A I'm trying to keep from crying here. 218 00:12:41,400 --> 00:12:46,199 Speaker 5: But it's well, they they get they this is part 219 00:12:46,240 --> 00:12:49,960 Speaker 5: of it is the thin skinness is kind of fascinating, 220 00:12:50,040 --> 00:12:53,680 Speaker 5: Like why it is that they they feel so batalized 221 00:12:53,720 --> 00:12:55,000 Speaker 5: when they have so much power? 222 00:12:55,080 --> 00:12:55,839 Speaker 4: Yeah, Trump, this. 223 00:12:55,720 --> 00:12:59,480 Speaker 1: Is the Donald Trump origin story, right, Obama? They thought 224 00:12:59,520 --> 00:13:04,680 Speaker 1: of him at the White House Correspondence Danner, he was like, 225 00:13:04,840 --> 00:13:07,800 Speaker 1: Obama wasn't born in this country, and now we have 226 00:13:07,840 --> 00:13:10,240 Speaker 1: a second Trump presidency and then we have I mean, 227 00:13:10,280 --> 00:13:13,920 Speaker 1: and that's the Elon Musk story too. So is it 228 00:13:14,320 --> 00:13:18,440 Speaker 1: just that these people were not able to get into 229 00:13:18,480 --> 00:13:19,320 Speaker 1: country clops. 230 00:13:19,400 --> 00:13:24,880 Speaker 5: I would not underestimate the scale of history that rests 231 00:13:25,040 --> 00:13:28,080 Speaker 5: on facts as pathetically small as that. 232 00:13:28,520 --> 00:13:30,000 Speaker 4: I mean, if you. 233 00:13:30,000 --> 00:13:33,679 Speaker 5: Hang around people involved in understanding the real kind of 234 00:13:33,760 --> 00:13:36,520 Speaker 5: micro movements of democratic politics over the last few years, 235 00:13:36,559 --> 00:13:38,800 Speaker 5: people will tell you and it's true. And you know this, 236 00:13:38,920 --> 00:13:40,560 Speaker 5: I think you've heard it as I have Molly, that 237 00:13:41,120 --> 00:13:45,400 Speaker 5: the decision within the Biden administration to not invite Elon 238 00:13:45,520 --> 00:13:48,920 Speaker 5: Musk to an event on electric vehicles, I mean literally, 239 00:13:49,160 --> 00:13:51,040 Speaker 5: you know, didn't invite him to the party kind of 240 00:13:51,120 --> 00:13:56,560 Speaker 5: thing was for him this radicalizing, radicalizing event, which I 241 00:13:56,559 --> 00:13:59,680 Speaker 5: think can sound to any sane, normal person like, that's 242 00:13:59,760 --> 00:14:04,520 Speaker 5: crazy that he really transformed his political character based on that, 243 00:14:04,800 --> 00:14:08,040 Speaker 5: except for the fact that it happens to be true, 244 00:14:08,160 --> 00:14:12,360 Speaker 5: and I don't know what we do with that. Except 245 00:14:12,520 --> 00:14:14,280 Speaker 5: for me, I can tell you what I take from that, 246 00:14:14,480 --> 00:14:17,520 Speaker 5: which is that this is a demonstration to the fact 247 00:14:17,559 --> 00:14:22,120 Speaker 5: that we are just evolutionarily as humans not psychologically equipped 248 00:14:22,200 --> 00:14:26,360 Speaker 5: to be as powerful as Elon Musk, meaning he, you know, 249 00:14:26,560 --> 00:14:29,840 Speaker 5: the fragility of his ego, The fact that he could 250 00:14:29,840 --> 00:14:34,080 Speaker 5: allow himself to succumb to these kind of essentially juvenile 251 00:14:34,920 --> 00:14:39,080 Speaker 5: insecurities is a sign that nobody, frankly, is able to 252 00:14:40,400 --> 00:14:43,400 Speaker 5: have that kind of money and power and not ultimately 253 00:14:43,480 --> 00:14:47,080 Speaker 5: find themselves using it in really destructive ways when it's 254 00:14:47,080 --> 00:14:48,000 Speaker 5: captive to their ego. 255 00:14:48,600 --> 00:14:52,400 Speaker 1: I'm going to respectfully push back here and say that 256 00:14:53,600 --> 00:14:58,080 Speaker 1: certainly there are people like Elon Musk, Donald Trump, Bill 257 00:14:58,160 --> 00:15:02,160 Speaker 1: Ackman is another one man guy. But there are certainly 258 00:15:02,200 --> 00:15:06,120 Speaker 1: people on the other side. Mackenzie Bezos fdo totally true. 259 00:15:06,400 --> 00:15:11,280 Speaker 1: You know, powerful people who have been able to handle 260 00:15:11,320 --> 00:15:14,800 Speaker 1: it and still consider themselves to be you know, not 261 00:15:15,520 --> 00:15:19,280 Speaker 1: to consider the world to include characters who are other 262 00:15:19,520 --> 00:15:23,920 Speaker 1: who are playing characters, right the Elon Musk, everyone else 263 00:15:24,040 --> 00:15:25,120 Speaker 1: is an n P. 264 00:15:26,040 --> 00:15:28,040 Speaker 4: Right, Well, here's here's how I am. 265 00:15:28,200 --> 00:15:31,160 Speaker 5: So we're at dangerous risk of agreement here because I 266 00:15:31,200 --> 00:15:34,200 Speaker 5: actually completely agree with you. And here's the difference is 267 00:15:34,240 --> 00:15:36,880 Speaker 5: that it's a difference of scale in the sense that 268 00:15:36,960 --> 00:15:40,760 Speaker 5: if you actually look at the sheer amount that that 269 00:15:40,920 --> 00:15:43,840 Speaker 5: Elon Musk has accumulated. I mean, it's worth reminding ourselves. 270 00:15:43,840 --> 00:15:46,080 Speaker 5: Ten years ago he had ten billion dollars with a 271 00:15:46,120 --> 00:15:47,880 Speaker 5: b which is a huge amount of money, but now 272 00:15:47,880 --> 00:15:50,800 Speaker 5: he has four hundred and really almost no nobody has 273 00:15:50,840 --> 00:15:53,960 Speaker 5: ever gone from that to that so fast, and it 274 00:15:54,040 --> 00:15:56,320 Speaker 5: broke his brain. And I think that part of what 275 00:15:57,080 --> 00:16:00,000 Speaker 5: we're contending with is that it's sort of that it's 276 00:16:00,120 --> 00:16:04,360 Speaker 5: the scale and acceleration is the is the particular risk. 277 00:16:04,480 --> 00:16:06,480 Speaker 5: But I agree, and part of the reason to write 278 00:16:06,520 --> 00:16:08,920 Speaker 5: about it and talk about it. The way that I 279 00:16:08,960 --> 00:16:11,200 Speaker 5: that I do is because I want to point out 280 00:16:11,240 --> 00:16:14,920 Speaker 5: the fact that there are multiple ways to live at 281 00:16:14,960 --> 00:16:17,520 Speaker 5: that scale, and I don't think that you have to 282 00:16:17,560 --> 00:16:21,600 Speaker 5: be like Bezos and musk. You can there are sort 283 00:16:21,640 --> 00:16:24,320 Speaker 5: of other choices on the menu. And I'm very excited 284 00:16:24,360 --> 00:16:28,400 Speaker 5: about the I mean that we are living as as 285 00:16:28,440 --> 00:16:30,800 Speaker 5: you know, we're living in this period where Mackenzie Scott 286 00:16:31,040 --> 00:16:32,720 Speaker 5: and women. 287 00:16:33,400 --> 00:16:36,080 Speaker 4: Yeah, yeah, that they are the model right. 288 00:16:36,040 --> 00:16:39,640 Speaker 1: Yes, yeah, women and not not the model men. 289 00:16:40,800 --> 00:16:43,120 Speaker 4: Yeah, I'm afraid so yeah, I mean. 290 00:16:43,000 --> 00:16:45,720 Speaker 1: There are I think Bill Gate, I mean, there are 291 00:16:45,760 --> 00:16:48,320 Speaker 1: definitely Bill Gates. So he did go to that wedding, 292 00:16:48,360 --> 00:16:50,880 Speaker 1: which is a little bit disappointing, by the way, do 293 00:16:51,040 --> 00:16:55,760 Speaker 1: you if you're a celebrity and your like that wedding 294 00:16:55,800 --> 00:16:58,240 Speaker 1: strikes me as like just a good one to skip. 295 00:17:00,360 --> 00:17:04,720 Speaker 5: I do find it fascinating to wonder why people go 296 00:17:05,080 --> 00:17:08,320 Speaker 5: when they are at risk of such obvious blowback. I 297 00:17:08,359 --> 00:17:11,760 Speaker 5: mean it's fascinating, I know, kind of state the obvious here. 298 00:17:11,840 --> 00:17:13,840 Speaker 5: You know, you and I think a lot about politics, 299 00:17:13,880 --> 00:17:16,480 Speaker 5: about like big things, and we're talking about a wedding 300 00:17:16,480 --> 00:17:19,160 Speaker 5: precisely because it is a political juncture in its way. 301 00:17:19,280 --> 00:17:23,000 Speaker 5: I mean, it's fascinating to compare it to the idea 302 00:17:23,080 --> 00:17:26,000 Speaker 5: of what happened. Remember George Clooney and Amal Clooney got 303 00:17:26,000 --> 00:17:28,760 Speaker 5: married in Venice, and Venice didn't have any problem with it. 304 00:17:28,800 --> 00:17:31,199 Speaker 5: They thought, this is great, go to it. And you know, 305 00:17:31,240 --> 00:17:33,960 Speaker 5: it's a sign of the change in I think the 306 00:17:34,000 --> 00:17:38,640 Speaker 5: culture around the public reaction to wealth about how profoundly 307 00:17:38,680 --> 00:17:40,440 Speaker 5: different it is today. It's not just that one was 308 00:17:40,480 --> 00:17:44,000 Speaker 5: a movie star and one made his money on e commerce. 309 00:17:44,080 --> 00:17:46,399 Speaker 5: It's that the whole environment is different. We're having a 310 00:17:46,440 --> 00:17:49,080 Speaker 5: conversation in this, you know, around mom Donnie's winning the 311 00:17:49,080 --> 00:17:49,640 Speaker 5: mayoral race. 312 00:17:49,720 --> 00:17:53,520 Speaker 1: Huge, it's hot. It's hot, commy summer. But as the 313 00:17:53,560 --> 00:17:59,119 Speaker 1: granddaughter of a communist, I don't hate it. So I 314 00:17:59,160 --> 00:18:02,960 Speaker 1: would say though George is so George Cliney is so 315 00:18:03,720 --> 00:18:09,640 Speaker 1: incredibly careful, so involved in philanthropic stuff, and so much 316 00:18:09,680 --> 00:18:14,760 Speaker 1: smarter than many many celebrities that I do think he has. 317 00:18:15,200 --> 00:18:18,320 Speaker 1: You know, even if he got married today, he would 318 00:18:18,359 --> 00:18:21,480 Speaker 1: not get the kind of blowback because what I think 319 00:18:21,680 --> 00:18:25,960 Speaker 1: about Bezos is he has been very unfocused on the 320 00:18:26,600 --> 00:18:29,280 Speaker 1: you know, you could like it would be easy to 321 00:18:29,320 --> 00:18:33,119 Speaker 1: be Jeff Bezos and say I'm giving twenty percent of 322 00:18:33,160 --> 00:18:37,680 Speaker 1: everything I make today on Amazon to the Amazon rainforest. 323 00:18:37,760 --> 00:18:40,760 Speaker 1: I mean, it's a rounding error. But he could do that. 324 00:18:40,920 --> 00:18:43,040 Speaker 1: I mean, if he had ten minutes to think about it, 325 00:18:43,080 --> 00:18:46,120 Speaker 1: he could. He could. You know, it would be quite easy. 326 00:18:46,520 --> 00:18:49,399 Speaker 1: And I mean, this is the baffling thing about Elon Musk, right, 327 00:18:49,560 --> 00:18:53,520 Speaker 1: Elon Musk cut all this money for USAID. Right, So 328 00:18:54,240 --> 00:18:58,320 Speaker 1: three million people, three million, thirty million, it's huge. Millions 329 00:18:58,320 --> 00:19:02,280 Speaker 1: of people are dying because because Elon Musk didn't like USAID. 330 00:19:02,960 --> 00:19:06,399 Speaker 5: And I have to say I've become on this topic 331 00:19:06,760 --> 00:19:09,520 Speaker 5: pretty fierce in my belief that we now need to 332 00:19:09,720 --> 00:19:13,800 Speaker 5: adorn every mention of Elon Musk with a reminder of 333 00:19:13,840 --> 00:19:19,160 Speaker 5: the fact that his wanton destruction of USAID has cost lives. 334 00:19:18,760 --> 00:19:20,160 Speaker 4: There's just no. 335 00:19:20,320 --> 00:19:24,520 Speaker 1: Way millions and I children dying of malaria because he 336 00:19:24,880 --> 00:19:26,919 Speaker 1: was like, we're going to get waste for Onden abuse, 337 00:19:26,960 --> 00:19:29,720 Speaker 1: and what he meant by waste Forden abuse was stuff 338 00:19:29,760 --> 00:19:32,119 Speaker 1: I don't like and helping my companies. 339 00:19:32,720 --> 00:19:36,080 Speaker 5: And I also think it was a kind of methodological 340 00:19:36,240 --> 00:19:38,880 Speaker 5: error in the sense that it wasn't just that you're 341 00:19:38,920 --> 00:19:41,040 Speaker 5: actually I think almost giving it a little bit more 342 00:19:41,359 --> 00:19:44,399 Speaker 5: credit as a worked out idea. I think it was 343 00:19:44,800 --> 00:19:49,239 Speaker 5: almost more of just a reflexive hunch that you know, 344 00:19:49,280 --> 00:19:51,240 Speaker 5: as you say, you know, I don't like this idea 345 00:19:51,240 --> 00:19:53,600 Speaker 5: of giving money to these foreign countries. I can't figure 346 00:19:53,600 --> 00:19:56,440 Speaker 5: out what its utility is, so I'm just going to 347 00:19:56,520 --> 00:19:59,679 Speaker 5: exit out without any deep thinking. I mean, this is 348 00:19:59,680 --> 00:20:02,760 Speaker 5: where I think there's a The pattern that bothers me 349 00:20:02,840 --> 00:20:08,600 Speaker 5: most is when somebody who has assembled obviously some success 350 00:20:08,600 --> 00:20:11,480 Speaker 5: in one realm then applies it into this other thing. 351 00:20:11,520 --> 00:20:14,800 Speaker 5: We see this pattern a lot. But the really scary 352 00:20:14,840 --> 00:20:18,680 Speaker 5: fact is that the consequences that accrue to that bad 353 00:20:18,720 --> 00:20:22,159 Speaker 5: decision will not redound against Musk. 354 00:20:22,480 --> 00:20:23,680 Speaker 4: And that's that's like. 355 00:20:24,080 --> 00:20:27,359 Speaker 5: A huge problem in the machine of decision making and power, 356 00:20:27,720 --> 00:20:31,880 Speaker 5: because you know, it's it's like the actual consequences will 357 00:20:32,080 --> 00:20:34,560 Speaker 5: rest on the shoulders of others. And as long as 358 00:20:34,600 --> 00:20:36,600 Speaker 5: that's the case, as long as he lives in a 359 00:20:36,640 --> 00:20:40,160 Speaker 5: world of essentially no accountability, then you're going to see 360 00:20:40,200 --> 00:20:45,240 Speaker 5: more of these kinds of catastrophic, catastrophic mistakes. 361 00:20:45,800 --> 00:20:49,560 Speaker 1: I also would love you to talk about sort of 362 00:20:49,560 --> 00:20:53,560 Speaker 1: progressive taxation, because this is something anyone who has a 363 00:20:53,640 --> 00:20:58,720 Speaker 1: phone and rich friends has gotten a number of very 364 00:20:58,760 --> 00:21:03,359 Speaker 1: agitated text messages is about Mandani. I'm sure you have. Yeah, 365 00:21:03,440 --> 00:21:07,880 Speaker 1: I certainly have. Uh, they are very mad and there 366 00:21:08,000 --> 00:21:14,080 Speaker 1: is certainly a lot of anxiety about taxes. So we 367 00:21:14,160 --> 00:21:20,120 Speaker 1: pay pretty high taxes, but not nearly what people might 368 00:21:20,320 --> 00:21:26,920 Speaker 1: pay in the you know, the level of taxation under FDR. Right, 369 00:21:28,119 --> 00:21:31,160 Speaker 1: but I would love you to talk about progressive taxation, 370 00:21:31,320 --> 00:21:35,760 Speaker 1: I mean even wrong. You'll remember pretended to give this 371 00:21:35,840 --> 00:21:38,560 Speaker 1: a thought when he said that maybe people make over 372 00:21:38,640 --> 00:21:41,480 Speaker 1: two and a half million dollars a year to be 373 00:21:41,560 --> 00:21:44,720 Speaker 1: taxed at one percent, but you know, some something that 374 00:21:44,840 --> 00:21:48,679 Speaker 1: was pathetically low, and he pretended he was going to 375 00:21:48,680 --> 00:21:51,480 Speaker 1: do that. And then again, I never think that he 376 00:21:51,560 --> 00:21:53,480 Speaker 1: was going to do that. But then people in his 377 00:21:53,640 --> 00:21:56,439 Speaker 1: orbit were like, no, no, those people put you in office. Baby. 378 00:21:56,840 --> 00:21:58,240 Speaker 4: Yeah it was he, but he did. 379 00:21:58,280 --> 00:22:01,560 Speaker 5: He sort of flirted with it briefly because he knows 380 00:22:02,240 --> 00:22:07,000 Speaker 5: that it has He gets a huge dividend in public 381 00:22:07,000 --> 00:22:10,920 Speaker 5: conversation by flicking at it, because it kind of reignites 382 00:22:10,960 --> 00:22:14,320 Speaker 5: that little tiny flicker of hope among the members of 383 00:22:14,359 --> 00:22:17,960 Speaker 5: his base who kind of imagine hope against hope that 384 00:22:18,000 --> 00:22:20,760 Speaker 5: he still is the guy who is going to from 385 00:22:20,800 --> 00:22:23,760 Speaker 5: the inside create fairness where it doesn't exist, and that, 386 00:22:23,840 --> 00:22:26,680 Speaker 5: of course I think is a fallacy, but it it 387 00:22:27,200 --> 00:22:29,560 Speaker 5: you know, it brings eternal to your point. I think 388 00:22:29,600 --> 00:22:33,560 Speaker 5: this is just like an absolutely fascinating issue, which is 389 00:22:33,600 --> 00:22:37,080 Speaker 5: that in some ways I think when we talk about 390 00:22:37,920 --> 00:22:42,520 Speaker 5: taxes and progressive taxes, that by focusing on the income 391 00:22:42,600 --> 00:22:45,679 Speaker 5: tax rate, that that's a bit of a of a 392 00:22:45,760 --> 00:22:48,600 Speaker 5: distraction from what is the heart of the matter, because 393 00:22:48,680 --> 00:22:51,640 Speaker 5: you know, look what the reality is that today, if 394 00:22:51,680 --> 00:22:54,560 Speaker 5: I am talking to you from a room in which 395 00:22:54,600 --> 00:22:56,720 Speaker 5: I have a Matisse on the wall and a pile 396 00:22:56,760 --> 00:22:59,920 Speaker 5: of gold bullion on my desk and a yacht out 397 00:23:00,040 --> 00:23:04,960 Speaker 5: side my door, I'll pay less taxes if I organized 398 00:23:04,960 --> 00:23:08,000 Speaker 5: my income correctly, then you would if you were a 399 00:23:08,000 --> 00:23:12,960 Speaker 5: social worker making forty thousand dollars a year, because we 400 00:23:13,000 --> 00:23:15,359 Speaker 5: don't tax wealth. We don't tax what's sitting on top 401 00:23:15,400 --> 00:23:19,240 Speaker 5: of my desk or outside at my doc it's what's 402 00:23:19,480 --> 00:23:21,840 Speaker 5: coming into your income. So as a result, as you know, 403 00:23:21,880 --> 00:23:25,439 Speaker 5: according to Pro Publica, there were eighteen billionaires during the 404 00:23:25,480 --> 00:23:29,320 Speaker 5: pandemic who had such little income that they qualified for 405 00:23:29,400 --> 00:23:33,320 Speaker 5: COVID relief funds. I mean, Jeff Bezos has engineered his 406 00:23:33,520 --> 00:23:36,600 Speaker 5: income down to such a low level points according to 407 00:23:36,680 --> 00:23:39,720 Speaker 5: Pro Publica, that he actually qualified for the child tax credit. 408 00:23:40,040 --> 00:23:42,359 Speaker 5: So in a way, what we need to which is 409 00:23:42,400 --> 00:23:45,879 Speaker 5: an amazing fact and an amazing fact, and it's and 410 00:23:45,920 --> 00:23:49,240 Speaker 5: I think what that tells us is that, I mean, 411 00:23:49,320 --> 00:23:52,159 Speaker 5: right now, the Big Beautiful Bill, I hate even saying it, 412 00:23:52,160 --> 00:23:53,280 Speaker 5: but it's just you know. 413 00:23:53,320 --> 00:23:55,040 Speaker 1: And we refer to it as the BBB. 414 00:23:55,440 --> 00:23:56,600 Speaker 4: That's true, the BBB. 415 00:23:59,520 --> 00:24:03,239 Speaker 5: It is it includes provisions for instance that yes, as 416 00:24:03,280 --> 00:24:06,880 Speaker 5: we know, they extend the tax cuts, and that's piece, 417 00:24:07,040 --> 00:24:08,680 Speaker 5: that's a piece of it. But one of the things 418 00:24:08,680 --> 00:24:10,480 Speaker 5: that doesn't get enough attention is what it does on 419 00:24:10,520 --> 00:24:13,119 Speaker 5: the estate tax, which is that it allows people to 420 00:24:13,280 --> 00:24:16,879 Speaker 5: pass along many millions more without being subject to the 421 00:24:17,200 --> 00:24:20,960 Speaker 5: state tax. The estate tax has been so grinded down 422 00:24:21,280 --> 00:24:24,239 Speaker 5: that it is now as Gary Kohne, who was of 423 00:24:24,240 --> 00:24:27,200 Speaker 5: course in the first Trump term, he said to never worked. 424 00:24:26,960 --> 00:24:30,480 Speaker 1: At Goldman Sachs. I mean, this guy's not as socialist 425 00:24:30,720 --> 00:24:31,200 Speaker 1: Yan gone. 426 00:24:31,400 --> 00:24:33,600 Speaker 5: Well, what he said about the income about the estate 427 00:24:33,640 --> 00:24:35,919 Speaker 5: tax was he said he was. He was said to 428 00:24:35,920 --> 00:24:39,320 Speaker 5: have told members of Congress only morons pay the estate tax, 429 00:24:39,560 --> 00:24:43,840 Speaker 5: meaning that it is so easy to escape that, you know. 430 00:24:44,160 --> 00:24:45,760 Speaker 5: But as I mean, it used to be that a 431 00:24:45,800 --> 00:24:48,639 Speaker 5: substantial percentage of Americans was subject to it. It is 432 00:24:48,680 --> 00:24:51,800 Speaker 5: now down to literally maybe two or three thousand people 433 00:24:51,800 --> 00:24:55,280 Speaker 5: a year that pay it. Think about how and the 434 00:24:55,320 --> 00:24:58,679 Speaker 5: reason why that's so important is the estate tax was 435 00:24:58,680 --> 00:25:02,760 Speaker 5: created essentially as way of preventing the rise of aristocratic 436 00:25:02,840 --> 00:25:05,960 Speaker 5: dynasties in this country of the kind that defined Europe 437 00:25:06,119 --> 00:25:07,399 Speaker 5: in contrast the United States. 438 00:25:07,840 --> 00:25:11,240 Speaker 4: This was at the core of the whole American idea. 439 00:25:11,359 --> 00:25:14,440 Speaker 5: But there's a reason why conservative activists went to war 440 00:25:14,480 --> 00:25:17,199 Speaker 5: against the estate tax in the nineties and renamed it 441 00:25:17,240 --> 00:25:19,680 Speaker 5: the death tax and turned it into a cause celeb 442 00:25:19,760 --> 00:25:23,280 Speaker 5: because they knew that if the sheer power of the 443 00:25:23,320 --> 00:25:26,960 Speaker 5: math is that if you can allow yourself a couple 444 00:25:26,960 --> 00:25:29,919 Speaker 5: of generations where you escape that kind of tax, you 445 00:25:29,960 --> 00:25:35,400 Speaker 5: can develop fortunes that make your family essentially essentially a fortress. 446 00:25:35,640 --> 00:25:37,920 Speaker 5: One last thing on that that I think is fascinating. 447 00:25:37,960 --> 00:25:41,600 Speaker 5: There's a law that was passed in medieval Europe called 448 00:25:41,600 --> 00:25:46,119 Speaker 5: the Law against Perpetuities, which was designed to prevent this, 449 00:25:46,359 --> 00:25:51,879 Speaker 5: which was the kind of passing on of endlessly compounding 450 00:25:52,160 --> 00:25:56,040 Speaker 5: dynastic fortunes. Because even the kings decided this is probably 451 00:25:56,720 --> 00:25:58,440 Speaker 5: no way to run a state, it's not going to 452 00:25:58,480 --> 00:26:00,840 Speaker 5: work very well. And in fact, we now have states 453 00:26:00,840 --> 00:26:04,440 Speaker 5: in the United States, starting with South Dakota then Nevada, 454 00:26:04,480 --> 00:26:07,280 Speaker 5: that have essentially done away with the law against perpetuity, 455 00:26:07,359 --> 00:26:10,679 Speaker 5: so returning us to a kind of pre medieval European 456 00:26:10,760 --> 00:26:12,800 Speaker 5: condition in some of those states. And that's the reason 457 00:26:12,800 --> 00:26:15,640 Speaker 5: why you see, for instance, Rupert Murdoch going in this 458 00:26:15,800 --> 00:26:19,679 Speaker 5: lawsuit against his children, against three of them in the 459 00:26:19,680 --> 00:26:22,439 Speaker 5: state of Nevada, and so he's kind of trying to 460 00:26:22,600 --> 00:26:25,080 Speaker 5: return it to a condition of medieval Europe. 461 00:26:25,280 --> 00:26:30,760 Speaker 1: Yeah, medieval Europe has went great for ever. Yes, that's right. 462 00:26:31,200 --> 00:26:34,119 Speaker 1: Excited to see how this plays out. And the anti 463 00:26:34,240 --> 00:26:37,560 Speaker 1: vad stuff really plays into the medieval Europe thing. 464 00:26:37,720 --> 00:26:38,320 Speaker 4: Oh certainly. 465 00:26:38,320 --> 00:26:41,760 Speaker 5: I mean that's a pre Enlightenment ambition, is to say, 466 00:26:42,560 --> 00:26:45,960 Speaker 5: you know, don't believe what these scientists with their fancy 467 00:26:46,240 --> 00:26:49,080 Speaker 5: microscopes tell you. Just you know, pray to the right 468 00:26:49,400 --> 00:26:50,879 Speaker 5: belief system and you'll get there. 469 00:26:51,359 --> 00:26:55,320 Speaker 1: Things are going great. Thank you, thank you, Thank you, Evan. 470 00:26:55,400 --> 00:26:56,400 Speaker 1: I hope you'll come back. 471 00:26:56,720 --> 00:26:57,800 Speaker 4: Always. Great to see em. 472 00:26:57,800 --> 00:27:05,680 Speaker 1: Ali Maretitha Shiner is a freelance journalist. Welcome to Fast Politics, Meredith. 473 00:27:05,359 --> 00:27:06,639 Speaker 3: Thank you for having me, Mollie. 474 00:27:06,880 --> 00:27:10,440 Speaker 1: We're going to talk about two different really smart ideas 475 00:27:10,480 --> 00:27:13,399 Speaker 1: that you've written about. Okay, I'm going to start with 476 00:27:13,880 --> 00:27:17,359 Speaker 1: the first one, which I wrote to you about in 477 00:27:17,400 --> 00:27:21,840 Speaker 1: August twenty twenty four, because I actually think that this 478 00:27:22,000 --> 00:27:26,199 Speaker 1: first article informs the second article a little bit. So 479 00:27:26,520 --> 00:27:29,040 Speaker 1: you write for the New Republic. We all love the 480 00:27:29,080 --> 00:27:32,320 Speaker 1: New Republic. We think Mike Tamaski is a genius, at 481 00:27:32,400 --> 00:27:35,760 Speaker 1: least I do. Let's talk about this idea. So during 482 00:27:35,800 --> 00:27:38,719 Speaker 1: the twenty twenty four cycle, I feel like that's one 483 00:27:38,800 --> 00:27:41,359 Speaker 1: hundred years ago, but it informs where we are at 484 00:27:41,359 --> 00:27:46,280 Speaker 1: this moment. You talked about Beware the pundit brained version 485 00:27:46,400 --> 00:27:49,800 Speaker 1: of the Democratic Convention, and I just want to talk 486 00:27:49,840 --> 00:27:51,760 Speaker 1: about that because I think it sets the stage here. 487 00:27:52,000 --> 00:27:55,840 Speaker 1: Everyday Americans turn in tune in to watch Kamala Harris 488 00:27:55,840 --> 00:27:58,880 Speaker 1: receive for Parties nomination, they should trust what they see 489 00:27:58,920 --> 00:28:02,480 Speaker 1: with their own eyes is actually as DC's chattering class 490 00:28:02,480 --> 00:28:05,960 Speaker 1: tries to gaslight them. Exactly, So said the stage here, 491 00:28:06,119 --> 00:28:08,200 Speaker 1: what you mean by prend and brain, what you mean 492 00:28:08,320 --> 00:28:11,400 Speaker 1: by DC's chattering class trying to gaslight them? And then 493 00:28:11,400 --> 00:28:13,359 Speaker 1: we'll move on to the next one. 494 00:28:13,640 --> 00:28:16,800 Speaker 6: Well as a longtime listener, but first time guest. I 495 00:28:16,800 --> 00:28:19,040 Speaker 6: think it's important to give the context that I covered 496 00:28:19,080 --> 00:28:22,120 Speaker 6: Congress and national politics in Washington for almost a decade, 497 00:28:22,200 --> 00:28:25,320 Speaker 6: so I saw all of these dynamics up close. And 498 00:28:25,359 --> 00:28:27,480 Speaker 6: I think one of the things that I like writing 499 00:28:27,520 --> 00:28:30,679 Speaker 6: about and exploring is thinking about how all of the 500 00:28:30,680 --> 00:28:34,919 Speaker 6: stakeholders in Washington have agency. And I'm particularly interested in 501 00:28:34,960 --> 00:28:39,160 Speaker 6: how the national media has agency in shaping the national narrative. 502 00:28:39,560 --> 00:28:40,240 Speaker 3: I think so. 503 00:28:40,520 --> 00:28:43,080 Speaker 6: Much of what we hear from the pundit class, and 504 00:28:43,120 --> 00:28:45,240 Speaker 6: you're right, it's timely now be as we see Jake 505 00:28:45,320 --> 00:28:49,040 Speaker 6: Chapper non stop showing a book on CNN trying to 506 00:28:49,080 --> 00:28:52,240 Speaker 6: sell us on this idea that like the greatest lie 507 00:28:52,400 --> 00:28:55,360 Speaker 6: or the greatest cover up ever perpetuated in our American 508 00:28:55,360 --> 00:28:58,560 Speaker 6: politics was that Joe Biden was old, which everyone saw 509 00:28:58,600 --> 00:29:00,600 Speaker 6: with their own eyes, right, was. 510 00:29:00,680 --> 00:29:03,280 Speaker 1: Napolling, Like, you know, eighty percent of Americans thought he 511 00:29:03,320 --> 00:29:03,880 Speaker 1: was too old. 512 00:29:03,920 --> 00:29:06,520 Speaker 6: There's something yes, and so like if you, as a 513 00:29:06,600 --> 00:29:09,600 Speaker 6: reporter couldn't see that with your own eyes because you 514 00:29:09,640 --> 00:29:13,280 Speaker 6: were having drinks at Johnny's Halfshell and someone was telling 515 00:29:13,320 --> 00:29:16,040 Speaker 6: you he was young and vigorous, and that's the narrative 516 00:29:16,080 --> 00:29:19,080 Speaker 6: you believed that wasn't on us, the consumer of news. 517 00:29:19,120 --> 00:29:21,720 Speaker 6: And so this gets back to the idea of agency 518 00:29:22,080 --> 00:29:24,360 Speaker 6: and trying to shape a national understanding. So, you know, 519 00:29:24,440 --> 00:29:26,880 Speaker 6: I did live in DC for almost a decade. I 520 00:29:26,920 --> 00:29:30,000 Speaker 6: live in Chicago now, and I think that in DC 521 00:29:30,160 --> 00:29:34,480 Speaker 6: people really undervalue the role in of the national media 522 00:29:34,960 --> 00:29:37,080 Speaker 6: to help shape our collective understanding. 523 00:29:37,400 --> 00:29:38,280 Speaker 3: And I think that that is. 524 00:29:38,240 --> 00:29:42,160 Speaker 6: A moral obligation of our political media and that they've 525 00:29:42,200 --> 00:29:45,120 Speaker 6: abdicated it. And so when we think back to the 526 00:29:45,160 --> 00:29:49,160 Speaker 6: summer of twenty twenty four, obviously, you know, the way 527 00:29:49,360 --> 00:29:53,120 Speaker 6: that we got a new Democratic nominee was not really typical, 528 00:29:53,560 --> 00:29:57,280 Speaker 6: and yet there was excitement, like I remember, and this 529 00:29:57,320 --> 00:29:59,200 Speaker 6: goes back to Jake Tapper, and I wrote about this 530 00:29:59,240 --> 00:30:01,440 Speaker 6: in the piece at the time. You know, watching that 531 00:30:01,640 --> 00:30:05,640 Speaker 6: announcement rally with Tim Walls, and you could hear the 532 00:30:05,640 --> 00:30:08,280 Speaker 6: crowd in the background, you could hear the music, you 533 00:30:08,280 --> 00:30:10,960 Speaker 6: could see people dancing, and the entire time on the 534 00:30:11,000 --> 00:30:13,960 Speaker 6: CNN set, Jake Tapper was talking about was this a 535 00:30:14,000 --> 00:30:18,360 Speaker 6: catastrophic mistake not picking Pennsylvania Governor Dras Shapiro. And so 536 00:30:18,600 --> 00:30:22,320 Speaker 6: they had this trump track that wasn't mattering the visuals, 537 00:30:22,720 --> 00:30:25,680 Speaker 6: and so you have to think about, you know, what 538 00:30:25,800 --> 00:30:28,520 Speaker 6: was the incentive structure for the national media during the 539 00:30:28,560 --> 00:30:32,400 Speaker 6: Trump presidency, what was their biggest failure? And what is 540 00:30:32,800 --> 00:30:35,680 Speaker 6: the life that we're living now? And for me, you know, 541 00:30:35,920 --> 00:30:38,440 Speaker 6: like the sort of takenaway from the Trump presidency was 542 00:30:38,480 --> 00:30:41,880 Speaker 6: that it was incredibly profitable for those reporters. They sold books, 543 00:30:42,160 --> 00:30:45,360 Speaker 6: They tried to make sense of what was chaotic without 544 00:30:45,440 --> 00:30:48,640 Speaker 6: actually providing the proper context of what was happening to 545 00:30:48,640 --> 00:30:51,080 Speaker 6: our government, what was happening to the young people who 546 00:30:51,120 --> 00:30:53,280 Speaker 6: wanted to be involved in politics and its impact on 547 00:30:53,320 --> 00:30:56,160 Speaker 6: real people. And then, secondly, the biggest fail of the 548 00:30:56,240 --> 00:30:58,400 Speaker 6: national media, which was another essay that I've written in 549 00:30:58,480 --> 00:31:02,200 Speaker 6: The New Republic, was fail year to properly characterize January 550 00:31:02,240 --> 00:31:05,760 Speaker 6: sixth and the devastation of so many of those reporters 551 00:31:06,200 --> 00:31:10,120 Speaker 6: being there that day, of those rioters writing murder, the 552 00:31:10,160 --> 00:31:12,680 Speaker 6: media on the doors, people fearing for their lives, but 553 00:31:12,720 --> 00:31:15,800 Speaker 6: then trying to snap back to normal right to be like, Okay, 554 00:31:16,040 --> 00:31:18,840 Speaker 6: I can stand here and interview a Senate Republican about 555 00:31:18,880 --> 00:31:21,960 Speaker 6: debt or deficus and ignore the fact that they voted 556 00:31:21,960 --> 00:31:25,120 Speaker 6: to reject a free and fair election and were complicit 557 00:31:25,160 --> 00:31:26,600 Speaker 6: in the mob that tried to get me killed. 558 00:31:26,760 --> 00:31:28,960 Speaker 3: Right, So that was the second failure. 559 00:31:28,680 --> 00:31:31,880 Speaker 6: And honestly that was really fueled by the Biden administration 560 00:31:32,000 --> 00:31:34,360 Speaker 6: narrative that they wanted to get back to this normal too. 561 00:31:34,760 --> 00:31:36,880 Speaker 6: And I think for me when I think about this 562 00:31:37,000 --> 00:31:39,960 Speaker 6: time and sort of the complicity of the stakeholders that 563 00:31:40,000 --> 00:31:43,080 Speaker 6: have brought us to this messy moment is that they 564 00:31:43,080 --> 00:31:44,440 Speaker 6: wanted to get back to normal. 565 00:31:44,520 --> 00:31:46,200 Speaker 3: For them, they wanted to. 566 00:31:46,120 --> 00:31:48,600 Speaker 6: Be able to go to the White House correspondence dinner 567 00:31:48,640 --> 00:31:52,000 Speaker 6: and their cocktail hours and feel like things were right 568 00:31:52,080 --> 00:31:54,640 Speaker 6: in the world, to have state dinners, like you know, 569 00:31:54,720 --> 00:31:56,800 Speaker 6: Joe Biden had a state dinner and he invited Kevin 570 00:31:56,880 --> 00:31:59,440 Speaker 6: McCarthy and he called him a great guy, even though 571 00:31:59,480 --> 00:32:02,920 Speaker 6: again he voted to reject your election. And so all 572 00:32:02,960 --> 00:32:06,560 Speaker 6: of this normalization just led us to this place where 573 00:32:07,000 --> 00:32:11,280 Speaker 6: reporters who were programmed by traditional both side rules or 574 00:32:11,320 --> 00:32:16,000 Speaker 6: horsephrase punditry, they weren't equipped and aren't equipped for the 575 00:32:16,000 --> 00:32:18,760 Speaker 6: moment we're living in now. But they also played a 576 00:32:18,840 --> 00:32:23,880 Speaker 6: role in shaping public perception about Kamala Harris's candidacy. And 577 00:32:23,920 --> 00:32:27,160 Speaker 6: that's to say she ran a perfect campaign, or that 578 00:32:27,240 --> 00:32:30,040 Speaker 6: the administration didn't sort of set her up to fail 579 00:32:30,160 --> 00:32:33,120 Speaker 6: in the campaign that she ultimately was able to run. 580 00:32:33,400 --> 00:32:36,960 Speaker 6: But everyone played a role in shaping this moment. I 581 00:32:36,960 --> 00:32:39,520 Speaker 6: would say, like the last thing is like the irony 582 00:32:39,600 --> 00:32:43,360 Speaker 6: about to me about the Jake Tapper Alex Thompson Biden book, 583 00:32:43,560 --> 00:32:47,560 Speaker 6: is that twenty twenty was such an unusual primary season 584 00:32:48,040 --> 00:32:51,160 Speaker 6: because of COVID, that the national media actually played an 585 00:32:51,160 --> 00:32:52,480 Speaker 6: outsized role. 586 00:32:52,720 --> 00:32:56,280 Speaker 7: In helping me shape the idea of electability and who 587 00:32:56,280 --> 00:32:57,200 Speaker 7: the nominee would be. 588 00:32:57,480 --> 00:32:57,600 Speaker 3: Like. 589 00:32:57,680 --> 00:33:01,000 Speaker 6: If you remember back to the South Carolina primary, basically 590 00:33:01,040 --> 00:33:04,600 Speaker 6: the national media consensus was Jim Kleibern likes Joe Biden 591 00:33:04,640 --> 00:33:08,080 Speaker 6: the best. Ergo he represents like all black people in America. Ergo, 592 00:33:08,200 --> 00:33:09,320 Speaker 6: he's going to be the nominee. 593 00:33:09,440 --> 00:33:10,840 Speaker 3: Yeah, and that was crazy. 594 00:33:11,400 --> 00:33:13,720 Speaker 1: Yeah. I don't want to spend too much time talking 595 00:33:13,720 --> 00:33:17,480 Speaker 1: about that book because it's many other people are talking 596 00:33:17,520 --> 00:33:19,360 Speaker 1: about it. But I do think it is interesting that 597 00:33:19,520 --> 00:33:23,120 Speaker 1: Tamper was so strong about not having election deniers on 598 00:33:23,680 --> 00:33:26,080 Speaker 1: and he was so principled for a while. 599 00:33:26,400 --> 00:33:28,440 Speaker 3: Oh, but here's actually something that's instructive. 600 00:33:28,720 --> 00:33:31,360 Speaker 6: I think that that was sort of performative and that 601 00:33:31,480 --> 00:33:34,920 Speaker 6: was like what got currency in that moment? Like remember 602 00:33:35,000 --> 00:33:37,880 Speaker 6: like when Jensaki, the White House Press Secretary, would always 603 00:33:37,920 --> 00:33:41,760 Speaker 6: fight with Peter Doucey, like for the cameras, Like that 604 00:33:41,960 --> 00:33:45,120 Speaker 6: wasn't actual good governance. That was an audition for an 605 00:33:45,200 --> 00:33:49,400 Speaker 6: MSNBC show and for Tapper in that moment, and Trump won, 606 00:33:49,800 --> 00:33:52,920 Speaker 6: Like fighting with those officials, that conflict was good television, 607 00:33:53,200 --> 00:33:56,600 Speaker 6: But I'm not sure the result was better public education 608 00:33:57,280 --> 00:34:00,760 Speaker 6: about the issues. It was just normalization of people who 609 00:34:00,800 --> 00:34:03,800 Speaker 6: stand against government and who are also now currently looking 610 00:34:03,840 --> 00:34:04,640 Speaker 6: to oppress people. 611 00:34:05,000 --> 00:34:08,719 Speaker 1: Right. I happen to really like jen but I understand 612 00:34:08,719 --> 00:34:12,759 Speaker 1: that White House Press Secretary is a job about reforming 613 00:34:13,160 --> 00:34:16,440 Speaker 1: press performance. But I do think of her as like 614 00:34:16,480 --> 00:34:19,040 Speaker 1: a very good egg. But what's a really good point 615 00:34:19,080 --> 00:34:22,320 Speaker 1: is that we're watching sort of how this works. 616 00:34:22,480 --> 00:34:25,960 Speaker 6: We're watching theater while also living in this like really 617 00:34:26,040 --> 00:34:28,560 Speaker 6: devastating real world at the same time. And I think 618 00:34:28,600 --> 00:34:31,120 Speaker 6: that's the heart of the disconnect and the overall sort 619 00:34:31,160 --> 00:34:31,759 Speaker 6: of takeaway. 620 00:34:32,000 --> 00:34:34,880 Speaker 1: Yeah, so this new piece you wrote is called Primary 621 00:34:34,920 --> 00:34:37,000 Speaker 1: Every Democrat are You're going to be people who listen 622 00:34:37,080 --> 00:34:40,080 Speaker 1: this podcast, My dad, Hi Dad, and a lot of 623 00:34:40,160 --> 00:34:43,080 Speaker 1: people who I love who are going to be very 624 00:34:43,239 --> 00:34:46,480 Speaker 1: unhappy with that title, but I think that the ideas 625 00:34:46,560 --> 00:34:49,560 Speaker 1: in it are really important. So explain to us how 626 00:34:49,560 --> 00:34:50,160 Speaker 1: you got here. 627 00:34:50,280 --> 00:34:53,000 Speaker 8: Well, you know, I think the sad thing is is 628 00:34:53,080 --> 00:34:57,360 Speaker 8: the piece isn't actually that new, but it always resurfaces 629 00:34:57,600 --> 00:35:01,000 Speaker 8: because the goodness for people talking about it, it is ongoing. 630 00:35:02,320 --> 00:35:03,799 Speaker 1: Well that's how you know, you hit it. 631 00:35:03,960 --> 00:35:04,320 Speaker 9: Yeah. 632 00:35:04,360 --> 00:35:06,000 Speaker 3: So it was week. 633 00:35:05,840 --> 00:35:10,400 Speaker 6: One of the Trump administration, this Trump too, and I 634 00:35:10,480 --> 00:35:16,200 Speaker 6: just found myself so angry by how flat footed everyone 635 00:35:16,239 --> 00:35:18,799 Speaker 6: who had power and influence in this country seemed to 636 00:35:18,840 --> 00:35:23,600 Speaker 6: be about this particular hostile takeover of our government and 637 00:35:23,880 --> 00:35:27,160 Speaker 6: the idea that we should try to have a normal inauguration, 638 00:35:27,440 --> 00:35:31,080 Speaker 6: that a person who was impeached twice should be treated 639 00:35:31,120 --> 00:35:33,759 Speaker 6: with all of the pomp and circumstance, or greeted at 640 00:35:33,800 --> 00:35:36,040 Speaker 6: the White House, like all of these things were happening, 641 00:35:36,320 --> 00:35:40,680 Speaker 6: and simultaneously this administration started doing everything they said that 642 00:35:40,719 --> 00:35:42,680 Speaker 6: they would do, and what they said they would do 643 00:35:42,920 --> 00:35:47,080 Speaker 6: was just rip apart the fabric of American democracy, to 644 00:35:47,160 --> 00:35:50,960 Speaker 6: rip apart our government. And I think the sort of 645 00:35:51,120 --> 00:35:54,080 Speaker 6: id of primary every Democrat and the thing that people 646 00:35:54,200 --> 00:35:57,560 Speaker 6: keep coming back to is this idea that government is 647 00:35:57,600 --> 00:36:01,400 Speaker 6: good actually and going back to the sort of Reagan years, 648 00:36:01,960 --> 00:36:04,640 Speaker 6: Democrats have run away from that idea. In this fight 649 00:36:04,800 --> 00:36:08,880 Speaker 6: over big government or small government, the conversation has always 650 00:36:08,920 --> 00:36:12,279 Speaker 6: sort of been skewed to the conservative view that last 651 00:36:12,320 --> 00:36:14,920 Speaker 6: government is better, to the point where everyone ended up 652 00:36:14,960 --> 00:36:19,680 Speaker 6: being upside down and not able to articulate the value 653 00:36:19,800 --> 00:36:22,360 Speaker 6: of government or public service. And at the end of 654 00:36:22,360 --> 00:36:25,200 Speaker 6: the day, every average person, even a person who doesn't 655 00:36:25,200 --> 00:36:28,280 Speaker 6: live on Blue Sky or listen to this podcast, benefits 656 00:36:28,280 --> 00:36:30,799 Speaker 6: from good government. And we're seeing what happens when we 657 00:36:30,880 --> 00:36:32,960 Speaker 6: lose it. What happens when we lose it is that 658 00:36:33,000 --> 00:36:35,920 Speaker 6: we don't have air traffic controllers and Newark Airport has 659 00:36:35,920 --> 00:36:38,279 Speaker 6: to shut down. What happens when we lose it is 660 00:36:38,320 --> 00:36:41,360 Speaker 6: that we don't have scientific research happening anymore. And people 661 00:36:41,400 --> 00:36:44,480 Speaker 6: are not only going to die of measles today because 662 00:36:44,480 --> 00:36:48,120 Speaker 6: we've put anti vaxxers in charge of our public health infrastructure, 663 00:36:48,320 --> 00:36:50,719 Speaker 6: but people are going to die thirty five years from 664 00:36:50,760 --> 00:36:54,360 Speaker 6: now from diseases we could have cured today. People benefit 665 00:36:54,360 --> 00:36:57,799 Speaker 6: from having a postal service, from having an infrastructure that 666 00:36:57,880 --> 00:37:00,880 Speaker 6: helps make sure that people who get PUSS education in 667 00:37:00,920 --> 00:37:05,239 Speaker 6: this country are getting the highest quality education available, they 668 00:37:05,280 --> 00:37:08,759 Speaker 6: benefit from PBNs, they benefit from MPR. We benefit from 669 00:37:08,840 --> 00:37:12,000 Speaker 6: all of these things. And the idea that we have 670 00:37:12,160 --> 00:37:18,120 Speaker 6: like empowered arsonists to ruin everything with no apparent true 671 00:37:18,160 --> 00:37:22,080 Speaker 6: strategy other than to own the Libs without aggressively fighting back, 672 00:37:22,239 --> 00:37:25,840 Speaker 6: without showing any fight. Like the average person doesn't agree 673 00:37:25,840 --> 00:37:29,400 Speaker 6: with what is happening now, and yet there is a 674 00:37:29,480 --> 00:37:33,000 Speaker 6: total leadership vacuum at the top of the Democratic Party. 675 00:37:33,480 --> 00:37:36,719 Speaker 6: And you know, some people get a little bit sort 676 00:37:36,719 --> 00:37:40,160 Speaker 6: of prickly about the idea that is related to the gerontocracy. 677 00:37:40,600 --> 00:37:42,920 Speaker 6: And we do have leaders who are older and that 678 00:37:43,000 --> 00:37:45,640 Speaker 6: has necessarily made them out of touch, but it is 679 00:37:45,680 --> 00:37:49,760 Speaker 6: also just a general level of competence and being able 680 00:37:49,880 --> 00:37:53,320 Speaker 6: to use all of the tools of Congress to slower 681 00:37:53,360 --> 00:37:57,520 Speaker 6: Republican Congress down and to message I do use that 682 00:37:57,560 --> 00:38:00,920 Speaker 6: an opportunity and to leverage those media moments to actually 683 00:38:00,960 --> 00:38:04,480 Speaker 6: message in defensive government and defensive government workers, I mean 684 00:38:04,560 --> 00:38:05,720 Speaker 6: defense of their own staff. 685 00:38:05,840 --> 00:38:08,320 Speaker 3: Like when the Senate, when Senate. 686 00:38:08,160 --> 00:38:12,240 Speaker 6: Democrats led by Chuck Schumer caved on the Continuing Resolution. 687 00:38:13,000 --> 00:38:17,120 Speaker 6: There were so many negative impacts from that moment, but 688 00:38:17,239 --> 00:38:21,000 Speaker 6: these people walked into their own offices and looked at 689 00:38:21,040 --> 00:38:24,760 Speaker 6: their own staffers, knowing that they allowed a billion dollars 690 00:38:24,760 --> 00:38:27,280 Speaker 6: to get stolen from the District of Columbia, three hundred 691 00:38:27,320 --> 00:38:31,640 Speaker 6: million dollars from DC public schools, their own people. So 692 00:38:31,680 --> 00:38:34,759 Speaker 6: they're failing their constituents, they're failing their staff, but they're 693 00:38:34,800 --> 00:38:37,640 Speaker 6: failing this moment and this democracy. 694 00:38:37,840 --> 00:38:38,840 Speaker 3: Like I think. 695 00:38:38,719 --> 00:38:42,040 Speaker 6: About it turned out today, Corey Booker is out with 696 00:38:42,080 --> 00:38:45,600 Speaker 6: a book based on his twenty four hour filibuster. This 697 00:38:45,640 --> 00:38:48,800 Speaker 6: is a guy who stood on the floor and bless 698 00:38:48,840 --> 00:38:51,560 Speaker 6: him for breaking strom Thurman's record. Strom Thurmant shouldn't have 699 00:38:51,600 --> 00:38:54,440 Speaker 6: a record for anything. But then he turned around, like 700 00:38:54,640 --> 00:38:58,400 Speaker 6: Corey Booker, voted for things like confirming Jared Kushner's dad 701 00:38:58,880 --> 00:38:59,960 Speaker 6: to an ambassadorship. 702 00:39:00,520 --> 00:39:01,919 Speaker 3: No one was asking for that. 703 00:39:02,239 --> 00:39:06,759 Speaker 10: These people voted to confirm David Purdue, who they spent 704 00:39:06,880 --> 00:39:11,120 Speaker 10: more money David Perdue, former Georgia Democratic senator, who was 705 00:39:11,400 --> 00:39:16,720 Speaker 10: Republican senator investigated by the Department of Justice for insider trading. 706 00:39:17,120 --> 00:39:20,840 Speaker 7: His race was one of the most expensive Senate races 707 00:39:20,880 --> 00:39:23,520 Speaker 7: in the history of our country. They spent like more 708 00:39:23,520 --> 00:39:25,719 Speaker 7: than one hundred million dollars trying to defeat him, and 709 00:39:25,760 --> 00:39:28,800 Speaker 7: then something like a dozen Senate Democrats voted to confirm 710 00:39:28,880 --> 00:39:30,480 Speaker 7: him do a job of public trust. 711 00:39:30,800 --> 00:39:31,800 Speaker 3: And so not. 712 00:39:31,760 --> 00:39:36,200 Speaker 6: Only is this bad morally and ethically, but it's horrible 713 00:39:36,239 --> 00:39:40,720 Speaker 6: politically because they're not creating a clear and consistent message 714 00:39:41,080 --> 00:39:44,440 Speaker 6: to get amplified in the media or to bring directly 715 00:39:44,800 --> 00:39:48,160 Speaker 6: to people who don't really have a sense of the 716 00:39:48,239 --> 00:39:51,400 Speaker 6: full depth and breadth of the destruction that's happening. 717 00:39:51,400 --> 00:39:54,160 Speaker 1: Now, Yeah, I mean, I think that's a really really 718 00:39:54,200 --> 00:39:57,040 Speaker 1: strong point. And look, one of the things that we 719 00:39:57,320 --> 00:40:00,160 Speaker 1: have been doing a ton of interviews on crypto, and 720 00:40:00,160 --> 00:40:02,040 Speaker 1: what we see with crypto is that there are a 721 00:40:02,080 --> 00:40:06,279 Speaker 1: lot of Democrats because Crypto is now the exon of 722 00:40:06,400 --> 00:40:09,400 Speaker 1: twenty twenty five, there are a lot of Democrats who 723 00:40:09,480 --> 00:40:11,920 Speaker 1: get money from Crypto and are signing on to the 724 00:40:12,000 --> 00:40:16,239 Speaker 1: Genius Act, which basically is yet another opportunity not to 725 00:40:16,360 --> 00:40:20,239 Speaker 1: regulate and to pretend you're regulating. So there are definitely 726 00:40:20,480 --> 00:40:23,440 Speaker 1: big problems here. Part of that piece is a sort 727 00:40:23,480 --> 00:40:27,879 Speaker 1: of Schumer Durban trifacta. So talk to me about that. 728 00:40:28,160 --> 00:40:29,719 Speaker 3: One of the things that I think about a lot. 729 00:40:29,800 --> 00:40:32,760 Speaker 6: So I arrived in Washington in two thousand and nine, 730 00:40:33,000 --> 00:40:36,280 Speaker 6: I covered the rise of the teap Party, the entirety 731 00:40:36,280 --> 00:40:40,520 Speaker 6: of the Obama administration, and for whatever reason, I feel 732 00:40:40,520 --> 00:40:42,400 Speaker 6: like a lot of reporters who were there for some 733 00:40:42,480 --> 00:40:45,680 Speaker 6: of these seminal moments have either like totally forgotten what 734 00:40:45,760 --> 00:40:49,560 Speaker 6: happened there or are willfully forgetting. But I think about 735 00:40:49,640 --> 00:40:54,160 Speaker 6: all of these sort of touch points that really destabilized Congress, 736 00:40:54,239 --> 00:40:56,640 Speaker 6: like the idea that we would normalize taking the full 737 00:40:56,680 --> 00:40:59,640 Speaker 6: faith in credit of the United States passage that we 738 00:40:59,640 --> 00:41:04,200 Speaker 6: were constantly fighting over, the debt limit, that congressionally directed 739 00:41:04,239 --> 00:41:07,120 Speaker 6: spending or earmarks were taken away, and all of the 740 00:41:07,440 --> 00:41:10,960 Speaker 6: authority to choose and fund projects in different districts was 741 00:41:11,000 --> 00:41:13,080 Speaker 6: given to the executive. And that you had members of 742 00:41:13,120 --> 00:41:15,000 Speaker 6: Congress who then had to go to the executive to 743 00:41:15,080 --> 00:41:17,680 Speaker 6: ask for those things. So all of these powers sort 744 00:41:17,719 --> 00:41:25,319 Speaker 6: of shifted to the executive because Congress was dysfunctional. And simultaneously, Republicans, 745 00:41:25,360 --> 00:41:29,319 Speaker 6: led by Mitch McConnell, really laid the groundwork to co 746 00:41:29,360 --> 00:41:32,880 Speaker 6: op the judiciary. And that was sort of a combination 747 00:41:33,239 --> 00:41:37,120 Speaker 6: of you know, citizens United and unlimited money in politics, 748 00:41:37,160 --> 00:41:40,360 Speaker 6: which was Mitch McConnell's end wall, mixed with this idea 749 00:41:40,800 --> 00:41:43,640 Speaker 6: that you could put young ideologues at every level of 750 00:41:43,680 --> 00:41:48,719 Speaker 6: the court that you could confirm them by either distorting 751 00:41:48,840 --> 00:41:53,280 Speaker 6: Senate precedent or eliminating it. And Democrats for the longest 752 00:41:53,280 --> 00:41:57,040 Speaker 6: time were just stuck in this position. Were they prioritized 753 00:41:57,560 --> 00:42:02,000 Speaker 6: norms over results. The average person has not watched nearly 754 00:42:02,040 --> 00:42:04,680 Speaker 6: as much C SPAN two or C SPAN as I have. 755 00:42:05,000 --> 00:42:07,719 Speaker 6: They don't care, or they don't they or us you know, 756 00:42:07,960 --> 00:42:10,960 Speaker 6: or some of your listeners maybe like they don't they 757 00:42:11,040 --> 00:42:13,840 Speaker 6: don't care about blut slips like Dick Durbin. 758 00:42:14,280 --> 00:42:15,800 Speaker 3: Did they care about. 759 00:42:15,600 --> 00:42:19,520 Speaker 6: Whether or not things like abortion are legal in this country, 760 00:42:19,880 --> 00:42:21,880 Speaker 6: or whether gay marriage. 761 00:42:21,480 --> 00:42:23,600 Speaker 3: Will continue to be legal in this. 762 00:42:23,600 --> 00:42:28,600 Speaker 6: Country, whether diversity programs in colleges across this country will 763 00:42:28,600 --> 00:42:33,000 Speaker 6: continue to be legal, whether birthright citizenship will continue. I mean, 764 00:42:33,160 --> 00:42:37,800 Speaker 6: all of the tempets of our democracy were beginning to erode. 765 00:42:38,239 --> 00:42:40,520 Speaker 6: And I want to change that because as an active verb, 766 00:42:40,800 --> 00:42:44,840 Speaker 6: Republicans were eroding them before Trump, and they will continue 767 00:42:44,920 --> 00:42:48,759 Speaker 6: to try to erode them afterwards. And so they let 768 00:42:48,760 --> 00:42:51,960 Speaker 6: a Supreme Court seek get stolen and they didn't really 769 00:42:52,000 --> 00:42:54,279 Speaker 6: fight that hard on it, and I feel like the 770 00:42:54,400 --> 00:42:56,960 Speaker 6: lessons that they've learned is fight less. Like one of 771 00:42:56,960 --> 00:42:58,920 Speaker 6: the things that I was thinking about you know, recently 772 00:42:58,960 --> 00:43:01,640 Speaker 6: they were having the budget on the big beautiful bill. 773 00:43:01,760 --> 00:43:04,440 Speaker 6: I don't know why these presidents, whether it's Trump or Biden, 774 00:43:04,600 --> 00:43:07,160 Speaker 6: like love their b word of alliteration, like why are 775 00:43:07,239 --> 00:43:08,080 Speaker 6: do we build that better? 776 00:43:08,200 --> 00:43:09,239 Speaker 3: Big big quote? 777 00:43:11,600 --> 00:43:16,480 Speaker 6: Moving on, When Paul Ryan released his budgets after the 778 00:43:16,520 --> 00:43:19,680 Speaker 6: Tea Party takeover of the House of Representatives starting at 779 00:43:19,680 --> 00:43:24,560 Speaker 6: twenty eleven, they were politically catastrophic. They were like ads 780 00:43:24,600 --> 00:43:28,799 Speaker 6: of Paul Ryan, like pushing people in wheelchairs off cliffs, 781 00:43:28,960 --> 00:43:33,840 Speaker 6: like it was used to devastate Republicans and that helped 782 00:43:33,880 --> 00:43:39,520 Speaker 6: fuel reelection for Barack Obama in the next presidential I'm 783 00:43:39,520 --> 00:43:42,720 Speaker 6: not convinced we'll have a next free and fair election. However, 784 00:43:43,280 --> 00:43:46,840 Speaker 6: this budget bill was so much worse, Like it was 785 00:43:47,000 --> 00:43:50,919 Speaker 6: exponentially worse, and I feel like the fight really wasn't there. 786 00:43:51,520 --> 00:43:54,400 Speaker 6: And I think that's where you have this asymmetry of energy, 787 00:43:54,880 --> 00:43:57,400 Speaker 6: and that's where I think, like primary, a pre Democrat 788 00:43:57,680 --> 00:44:00,640 Speaker 6: continues to get clicks or continues to allow me to 789 00:44:00,640 --> 00:44:03,440 Speaker 6: have a conversation with you, like this is because there 790 00:44:03,440 --> 00:44:07,719 Speaker 6: are people who care about basic things like having their 791 00:44:07,800 --> 00:44:11,200 Speaker 6: kids get vaccinated and go to school safely every day, 792 00:44:11,360 --> 00:44:14,719 Speaker 6: and like potentially have a future. I'm a millennial. I 793 00:44:14,760 --> 00:44:17,760 Speaker 6: think I had sort of accepted the idea that boomers 794 00:44:17,760 --> 00:44:20,160 Speaker 6: were going to do better than us financially no matter what. 795 00:44:20,640 --> 00:44:23,959 Speaker 6: But I never assented to democracy being fully taken from 796 00:44:24,040 --> 00:44:27,759 Speaker 6: us and for that to radically reshape our ability to 797 00:44:27,800 --> 00:44:32,719 Speaker 6: live our lives peacefully, freely, joyfully. And so when you 798 00:44:32,719 --> 00:44:35,000 Speaker 6: have all of these people who are seeing everything that's 799 00:44:35,040 --> 00:44:38,719 Speaker 6: happening and then a frustrated and they're just clamoring for 800 00:44:38,800 --> 00:44:41,600 Speaker 6: someone to do something. And then you have Democrats like 801 00:44:41,640 --> 00:44:44,000 Speaker 6: Chuck Schumer Kim Jeffreys being like, we're just gonna sit 802 00:44:44,040 --> 00:44:47,319 Speaker 6: back and let him get unpopular, No, make him more 803 00:44:47,400 --> 00:44:51,400 Speaker 6: unpopular and help define why he's unpopular. Because the average 804 00:44:51,400 --> 00:44:53,360 Speaker 6: person I talked to here in Chicago, who does not 805 00:44:53,480 --> 00:44:56,799 Speaker 6: really follow politics, like, they hear about the tariffs, they 806 00:44:56,840 --> 00:44:59,440 Speaker 6: hear about the renaming of the Golf of Mexico to 807 00:44:59,480 --> 00:45:02,239 Speaker 6: the Gulf of a America. But I think the dot 808 00:45:02,320 --> 00:45:05,600 Speaker 6: connecting over all of the people who are losing their jobs, 809 00:45:05,719 --> 00:45:08,759 Speaker 6: all of the oversight that used to exist, the full 810 00:45:08,800 --> 00:45:11,560 Speaker 6: collapse of the government, I don't think that they will 811 00:45:11,600 --> 00:45:16,520 Speaker 6: fully understand it until it's really truly real, and that 812 00:45:16,600 --> 00:45:19,960 Speaker 6: day's coming soon. But it's really devastating to think about. 813 00:45:20,280 --> 00:45:21,840 Speaker 6: And you want the people. 814 00:45:21,760 --> 00:45:23,680 Speaker 3: Of power to care more than we do, or at 815 00:45:23,760 --> 00:45:24,799 Speaker 3: least as much as we do. 816 00:45:25,200 --> 00:45:27,160 Speaker 1: As much as we do. I think that's a really 817 00:45:27,239 --> 00:45:29,920 Speaker 1: good point. Thank you, thank you, thank you, thank you. 818 00:45:30,000 --> 00:45:30,959 Speaker 1: I hope you'll come back. 819 00:45:31,280 --> 00:45:33,160 Speaker 3: I would love that. Thank you for having me. 820 00:45:33,239 --> 00:45:33,520 Speaker 2: Molly. 821 00:45:35,239 --> 00:45:39,560 Speaker 1: Rebecca Katz is a democratic strategist and the founder of 822 00:45:39,600 --> 00:45:44,879 Speaker 1: the Fight Agency. Welcome to Fast Politics for BACKA great 823 00:45:44,880 --> 00:45:46,880 Speaker 1: to be here, Molly. You know, you and I know 824 00:45:46,960 --> 00:45:49,640 Speaker 1: each other, and you have worked on a lot of 825 00:45:49,719 --> 00:45:53,200 Speaker 1: really important campaigns. But the reason why I said I 826 00:45:53,239 --> 00:45:55,720 Speaker 1: have to get you right now and made a whole 827 00:45:55,760 --> 00:45:58,719 Speaker 1: stink of it was because I read your editorial in 828 00:45:58,760 --> 00:46:02,480 Speaker 1: the New York Times about Mondani and it wasn't so 829 00:46:02,560 --> 00:46:06,080 Speaker 1: much about Mondani, but it was about how democratic candidates win, 830 00:46:06,200 --> 00:46:08,480 Speaker 1: which is something that you and I are both obsessed with. 831 00:46:08,600 --> 00:46:14,280 Speaker 1: You worked very tangentially on the Mondanni campaign on the ads. 832 00:46:13,440 --> 00:46:15,920 Speaker 9: And they Firm did his ads, and Morris Cats at 833 00:46:15,920 --> 00:46:17,480 Speaker 9: our firm was his chief at right. 834 00:46:17,760 --> 00:46:21,960 Speaker 1: But you've also worked on some other campaigns which I 835 00:46:21,960 --> 00:46:25,640 Speaker 1: feel like are in some ways even more relevant, like 836 00:46:26,040 --> 00:46:31,240 Speaker 1: Ruben Diego's campaign, where Ruben ran about eight points ahead 837 00:46:31,239 --> 00:46:34,719 Speaker 1: of Trump. So I'd love you to talk about your 838 00:46:34,760 --> 00:46:35,920 Speaker 1: thesis and this piece. 839 00:46:36,200 --> 00:46:40,040 Speaker 9: So basically, I think Democrats are doing this wrong. You know, 840 00:46:40,160 --> 00:46:44,239 Speaker 9: I remember going back to Bernie twenty sixteen, there were 841 00:46:44,280 --> 00:46:47,760 Speaker 9: people who liked him and people who didn't. I liked him, 842 00:46:48,520 --> 00:46:51,279 Speaker 9: but the people who beat him were so happy to 843 00:46:51,360 --> 00:46:53,800 Speaker 9: have beat him and so mad at him for running 844 00:46:53,800 --> 00:46:56,239 Speaker 9: in the first place, that they never really asked the 845 00:46:56,360 --> 00:46:59,760 Speaker 9: question why did he inspire so many millions of people? 846 00:47:00,080 --> 00:47:03,440 Speaker 9: There was no curiosity coming from the top of our 847 00:47:03,480 --> 00:47:05,720 Speaker 9: party as to why it happened. There was no audit 848 00:47:05,960 --> 00:47:08,160 Speaker 9: to figure out what went wrong when we lost, and 849 00:47:08,239 --> 00:47:11,480 Speaker 9: there was no curiosity as to think about, like how 850 00:47:11,480 --> 00:47:14,040 Speaker 9: do we get those those voters back in the fold? 851 00:47:14,400 --> 00:47:16,480 Speaker 9: And if you look at the traditary many of those 852 00:47:16,520 --> 00:47:20,160 Speaker 9: twenty sixteen Bernie voters went to Trump by twenty twenty four. 853 00:47:20,320 --> 00:47:23,280 Speaker 1: Right, So those voters never came back, is the point 854 00:47:23,520 --> 00:47:27,440 Speaker 1: those voters. How did Zoran get those voters? 855 00:47:27,880 --> 00:47:30,360 Speaker 9: He talked to people, right, Like, the whole point of 856 00:47:30,400 --> 00:47:33,640 Speaker 9: his campaign is that he ran on a real message 857 00:47:33,680 --> 00:47:37,200 Speaker 9: that affected people's life affordability. He talked about making their 858 00:47:37,239 --> 00:47:40,680 Speaker 9: life better. He had easy to understand messaging freeze the 859 00:47:40,719 --> 00:47:44,799 Speaker 9: rent free and fast buses, like expanding childcare. These are 860 00:47:44,920 --> 00:47:48,600 Speaker 9: things that people gravitated towards and they understood that was 861 00:47:48,640 --> 00:47:51,319 Speaker 9: part of his message. But also he showed that he 862 00:47:51,440 --> 00:47:54,720 Speaker 9: was up for new things, he was listening, he was communicating. 863 00:47:55,160 --> 00:47:57,680 Speaker 9: It was just a different kind of campaign, And I 864 00:47:57,719 --> 00:48:00,000 Speaker 9: think Democrats in the past have run these really bored 865 00:48:00,080 --> 00:48:03,200 Speaker 9: and campaigns where they're so to mix it up or 866 00:48:03,280 --> 00:48:06,520 Speaker 9: say the wrong thing that they actually convey nothing right. 867 00:48:06,560 --> 00:48:08,520 Speaker 9: And that is the whole problem, like what do we 868 00:48:08,600 --> 00:48:11,000 Speaker 9: stand for? Well, we're not as bad as the other guys. 869 00:48:11,239 --> 00:48:13,919 Speaker 9: That wasn't compelling enough. I mean, there are stories out 870 00:48:13,920 --> 00:48:17,160 Speaker 9: of the election where you have these focus groups where 871 00:48:17,440 --> 00:48:20,080 Speaker 9: let's say a voter says, I know Trump is evil, 872 00:48:20,160 --> 00:48:21,600 Speaker 9: and then at the end of the focus group they 873 00:48:21,680 --> 00:48:23,080 Speaker 9: ask again, well what do you think and they said, 874 00:48:23,080 --> 00:48:26,360 Speaker 9: I'm on the side right. We could not those people 875 00:48:26,480 --> 00:48:29,080 Speaker 9: over to our side. We could not have a reason 876 00:48:29,120 --> 00:48:31,280 Speaker 9: to vote for us. And I'm not saying what works 877 00:48:31,320 --> 00:48:33,560 Speaker 9: in New York City is going to work in Arizona. 878 00:48:33,600 --> 00:48:36,160 Speaker 9: I'm actually very much nothing. I'm saying we have to 879 00:48:36,200 --> 00:48:38,680 Speaker 9: try new things. And we shouldn't be so afraid. We're 880 00:48:38,719 --> 00:48:41,400 Speaker 9: afraid of everything, and we're particularly afraid of things we 881 00:48:41,440 --> 00:48:43,839 Speaker 9: don't know, right. And that's the thing. Like a lot 882 00:48:43,840 --> 00:48:47,760 Speaker 9: of the most interesting candidates are coming from somewhere else. 883 00:48:47,880 --> 00:48:51,239 Speaker 9: They're not like my firm fight agency. We don't have 884 00:48:51,320 --> 00:48:55,160 Speaker 9: any lawyers that are candidates rights, right. We're trying to 885 00:48:55,160 --> 00:48:58,000 Speaker 9: get people. We've had candidates who are mechanics, right, Like, 886 00:48:59,000 --> 00:49:01,879 Speaker 9: you have to connect to people on like a very 887 00:49:01,920 --> 00:49:04,239 Speaker 9: real level. You don't want to just have candidates who 888 00:49:04,239 --> 00:49:06,360 Speaker 9: have been trying to be president for their whole life. 889 00:49:06,440 --> 00:49:08,960 Speaker 9: They have to have real, lived experiences and they have 890 00:49:09,040 --> 00:49:10,759 Speaker 9: to connect with working class voters. 891 00:49:10,920 --> 00:49:14,239 Speaker 1: I want you to talk about Ruben because I don't 892 00:49:14,239 --> 00:49:17,439 Speaker 1: want to have a conversation about mon Donnie for any 893 00:49:17,520 --> 00:49:21,759 Speaker 1: number of reasons. I mean, I really like him, but 894 00:49:22,040 --> 00:49:24,719 Speaker 1: there's so much going on around it that I don't 895 00:49:24,760 --> 00:49:27,440 Speaker 1: think it highlights our point in the same way that 896 00:49:27,520 --> 00:49:28,680 Speaker 1: Ruben actually does. 897 00:49:29,000 --> 00:49:31,239 Speaker 9: I am happy to talk about Ruben Diego because that 898 00:49:32,440 --> 00:49:35,160 Speaker 9: is an incredible individual. Like, just to give you a 899 00:49:35,200 --> 00:49:37,880 Speaker 9: little bit of his life story. Raised by a single mom, 900 00:49:38,120 --> 00:49:40,360 Speaker 9: it was him and his bunch of sisters living working 901 00:49:40,400 --> 00:49:44,040 Speaker 9: class area of Chicago, grew up, got himself into Harvard 902 00:49:44,040 --> 00:49:47,000 Speaker 9: all by himself. Listed in the Marines, was in one 903 00:49:47,000 --> 00:49:50,640 Speaker 9: of the deadliest units in the war in Iraq war, 904 00:49:51,239 --> 00:49:56,000 Speaker 9: ran for office out of Arizona, very compelling Latino working class, 905 00:49:56,040 --> 00:49:58,080 Speaker 9: the whole thing that we're looking for now. I would 906 00:49:58,080 --> 00:50:00,799 Speaker 9: say that we lost. And when he first ran, there 907 00:50:00,800 --> 00:50:03,919 Speaker 9: were no real Washington Democrats who came out for him. 908 00:50:04,280 --> 00:50:07,200 Speaker 9: You know, even after Cinema left the party she was 909 00:50:07,280 --> 00:50:11,440 Speaker 9: an independent, we still couldn't get the top folks in 910 00:50:11,560 --> 00:50:14,680 Speaker 9: Washington excited about his race. And it literally wasn't until 911 00:50:14,719 --> 00:50:17,399 Speaker 9: Cinema said she wasn't running at all that the rest 912 00:50:17,440 --> 00:50:21,080 Speaker 9: of like Washington came in for him. And this is 913 00:50:21,080 --> 00:50:25,399 Speaker 9: a guy who outran Harris in Arizona by eight points, 914 00:50:25,680 --> 00:50:29,120 Speaker 9: right Like they thought it was a risky bet, Ruben 915 00:50:29,160 --> 00:50:31,680 Speaker 9: Diego was the safest bet we could have made. And 916 00:50:31,760 --> 00:50:34,400 Speaker 9: nobody saw that. And that's what I'm worried about. 917 00:50:34,600 --> 00:50:38,239 Speaker 1: Yeah, And one of the things that we saw was 918 00:50:38,320 --> 00:50:43,800 Speaker 1: Ruben were these Trump Diego voters. You think it's important 919 00:50:43,880 --> 00:50:46,319 Speaker 1: to have a minute to talk about what that looks like, 920 00:50:46,480 --> 00:50:50,520 Speaker 1: because I believe that what Trump did very well was 921 00:50:50,680 --> 00:50:54,520 Speaker 1: offer people something. It wasn't something he had any intention 922 00:50:54,600 --> 00:50:58,200 Speaker 1: of delivering, but he was offering it, right, So we'd say, 923 00:50:58,320 --> 00:51:02,240 Speaker 1: you want free IVF. I mean IVF. There were people 924 00:51:02,280 --> 00:51:04,840 Speaker 1: who voted for him for free IVF. There was no 925 00:51:04,920 --> 00:51:06,719 Speaker 1: world in which that man was ever gonna give you 926 00:51:06,800 --> 00:51:10,400 Speaker 1: free IVF is a gazillion dollars. But they just think 927 00:51:10,520 --> 00:51:15,120 Speaker 1: that for whatever reason, Democrats seem so scared, we. 928 00:51:15,120 --> 00:51:18,160 Speaker 9: Worry about everything we're not. I mean, what Reuben Diego 929 00:51:18,280 --> 00:51:20,520 Speaker 9: did so well is he just talk to. 930 00:51:20,520 --> 00:51:22,839 Speaker 1: People, which is what Zorin did too. 931 00:51:23,239 --> 00:51:25,759 Speaker 9: Yes, whatever, it was like, people would come up to him, 932 00:51:25,760 --> 00:51:27,520 Speaker 9: they would they would talk to him. They would say, 933 00:51:27,560 --> 00:51:29,279 Speaker 9: you know, I voted for Trent, Like are you are 934 00:51:29,280 --> 00:51:31,080 Speaker 9: you a crazy liberal? Like talk to me, you know, 935 00:51:31,080 --> 00:51:32,680 Speaker 9: and then they would talk to him for five minutes 936 00:51:32,680 --> 00:51:34,120 Speaker 9: and then they would say, well, maybe I don't agree 937 00:51:34,160 --> 00:51:36,279 Speaker 9: with everything, but I'm gonna vote for you. Right. Because 938 00:51:36,320 --> 00:51:38,480 Speaker 9: he connected with him on a real level, he understood 939 00:51:38,480 --> 00:51:41,000 Speaker 9: how it's like, we have this tendency to want robots 940 00:51:41,080 --> 00:51:43,640 Speaker 9: who are careful with every single word they say, and 941 00:51:43,680 --> 00:51:46,200 Speaker 9: that doesn't resonate with voters. They don't want that the 942 00:51:46,360 --> 00:51:48,919 Speaker 9: error of the perfect candidate is over. We don't want 943 00:51:48,960 --> 00:51:52,319 Speaker 9: perfect hair and a perfect like iron shirt and like 944 00:51:52,360 --> 00:51:55,360 Speaker 9: every you know, like we want candidates who have lived 945 00:51:55,360 --> 00:51:58,239 Speaker 9: something because life in America is hard right now, and 946 00:51:58,239 --> 00:52:00,680 Speaker 9: if we can't get candidates who can talk to voters 947 00:52:00,680 --> 00:52:02,640 Speaker 9: like they understand what they're going through, we're going to 948 00:52:02,760 --> 00:52:03,400 Speaker 9: keep on losing. 949 00:52:03,520 --> 00:52:07,360 Speaker 1: I interviewed Harris twice. I have always been a champion 950 00:52:07,719 --> 00:52:10,920 Speaker 1: of women in politics. I think, or try to be 951 00:52:11,160 --> 00:52:13,480 Speaker 1: as much as I can be in still being an 952 00:52:13,480 --> 00:52:17,080 Speaker 1: opinion columnist. But I just wonder, why do you think 953 00:52:17,200 --> 00:52:20,319 Speaker 1: she was so careful and sort of what role do 954 00:52:20,400 --> 00:52:24,120 Speaker 1: you think the people around her play in that it. 955 00:52:24,040 --> 00:52:26,000 Speaker 9: Is harder for women. I want to just start there. 956 00:52:26,160 --> 00:52:28,880 Speaker 9: That is real, like your words get taken out of context, 957 00:52:29,120 --> 00:52:31,200 Speaker 9: like there's just it's harder. I do think Harris had 958 00:52:31,200 --> 00:52:33,280 Speaker 9: some great people around her. I'm not here to crap 959 00:52:33,320 --> 00:52:36,120 Speaker 9: all over them. This is she read very hard one 960 00:52:36,200 --> 00:52:39,160 Speaker 9: hundred day campaign. What I will say is that I 961 00:52:39,200 --> 00:52:41,680 Speaker 9: think we have to take the fight to different places, 962 00:52:41,960 --> 00:52:44,160 Speaker 9: because what would happen is Harris would do an interview 963 00:52:44,560 --> 00:52:46,520 Speaker 9: and reporters would say, here's all the things she did wrong, 964 00:52:46,600 --> 00:52:48,359 Speaker 9: or the right wing was hair or whatever, and they 965 00:52:48,360 --> 00:52:52,040 Speaker 9: would be in defensive mode. And what was interesting watching 966 00:52:52,080 --> 00:52:55,520 Speaker 9: the Zoran campaign is you literally saw like different playing 967 00:52:55,520 --> 00:52:57,880 Speaker 9: fields happening, Like he was getting beat up in the 968 00:52:57,880 --> 00:53:01,399 Speaker 9: press every day, but still like doing a thirteen mile 969 00:53:01,480 --> 00:53:04,360 Speaker 9: walk down Manhattan getting tiktoks all over. 970 00:53:04,239 --> 00:53:04,680 Speaker 1: The lad you know. 971 00:53:04,719 --> 00:53:06,920 Speaker 9: Like, so he was able to have a duel or 972 00:53:07,400 --> 00:53:10,319 Speaker 9: like campaign where he was getting beat up in one 973 00:53:10,360 --> 00:53:13,560 Speaker 9: direction but able to be happy in another. That Harris 974 00:53:14,000 --> 00:53:16,719 Speaker 9: I think, and a lot of Democrats struggle with other 975 00:53:16,880 --> 00:53:21,200 Speaker 9: mediums and platforms to bring their message to and and 976 00:53:21,280 --> 00:53:24,440 Speaker 9: what we do is if we do an interview Democrats 977 00:53:24,640 --> 00:53:27,120 Speaker 9: and they get and they get picked apart, then they 978 00:53:27,120 --> 00:53:29,000 Speaker 9: don't do an interview again. They're just like, oh, I 979 00:53:29,000 --> 00:53:30,440 Speaker 9: messed up. I'm not gonna do it. You got to 980 00:53:30,520 --> 00:53:32,800 Speaker 9: talk through it. I mean, look at Trump, who knows 981 00:53:32,840 --> 00:53:36,200 Speaker 9: what his gafts are. There's so many you can't even remember, right, 982 00:53:36,440 --> 00:53:38,720 Speaker 9: you go to remember how you were outrage about something 983 00:53:38,920 --> 00:53:41,359 Speaker 9: a week ago, much less yesterday. Like it's just it's 984 00:53:41,400 --> 00:53:44,600 Speaker 9: so much. And he just keeps it going. And Democrats 985 00:53:44,640 --> 00:53:45,920 Speaker 9: don't know how to keep going. 986 00:53:46,080 --> 00:53:47,120 Speaker 1: They just get too. 987 00:53:47,000 --> 00:53:49,880 Speaker 9: Nervous, or our donor calls them, and then they retreat 988 00:53:49,920 --> 00:53:51,760 Speaker 9: and they say, well, I didn't really mean it that way. 989 00:53:52,080 --> 00:53:55,120 Speaker 9: We're always on defense. We need like we need to 990 00:53:55,160 --> 00:53:57,080 Speaker 9: like go out there and punch people in the face 991 00:53:57,400 --> 00:53:59,279 Speaker 9: in a nice way. But like you know what I mean, 992 00:53:59,320 --> 00:54:00,520 Speaker 9: Like it's like got it, we. 993 00:54:00,480 --> 00:54:03,480 Speaker 1: Got to have in a non violent way. Yes, you know. 994 00:54:03,560 --> 00:54:06,360 Speaker 9: I'm in Philadelphia, right, And so when I when I 995 00:54:06,400 --> 00:54:09,360 Speaker 9: talk about campaigns, I try and think of, like what 996 00:54:09,400 --> 00:54:11,399 Speaker 9: will we do in filming and we would talk people 997 00:54:11,480 --> 00:54:14,080 Speaker 9: lighte and just sit there and like wait for our turn. 998 00:54:14,160 --> 00:54:16,000 Speaker 9: We would we would take it. We would take what's 999 00:54:16,040 --> 00:54:18,160 Speaker 9: our and Democrats need to go out and take it. 1000 00:54:18,400 --> 00:54:22,640 Speaker 1: So right now, there are a lot of people on 1001 00:54:22,760 --> 00:54:26,960 Speaker 1: the right who are super excited about Zorin because they 1002 00:54:27,160 --> 00:54:30,840 Speaker 1: think that they can turn him into this sort of 1003 00:54:30,880 --> 00:54:32,120 Speaker 1: boogeyman atwar. 1004 00:54:32,239 --> 00:54:36,120 Speaker 9: Clmall thought too, right, and they ran tens of millions 1005 00:54:36,120 --> 00:54:39,480 Speaker 9: of dollars in like ad campaigns talking about it, like 1006 00:54:39,680 --> 00:54:42,560 Speaker 9: let's take a step back for a second, because Republicans 1007 00:54:42,600 --> 00:54:45,360 Speaker 9: do this every cycle where they try and turn somebody 1008 00:54:45,400 --> 00:54:47,200 Speaker 9: into a crazy. 1009 00:54:46,920 --> 00:54:48,319 Speaker 1: Socialist or whatever it is. 1010 00:54:48,400 --> 00:54:51,600 Speaker 9: Right, they said for years that Obama wasn't born here, 1011 00:54:51,840 --> 00:54:55,080 Speaker 9: that Obama is a socialist, that Obama is a Muslim, 1012 00:54:55,280 --> 00:54:59,400 Speaker 9: Zoramondanni is all of those things. And basically people were like, well, 1013 00:54:59,440 --> 00:55:02,279 Speaker 9: Obama was great, so why are we scared about Zora? 1014 00:55:02,480 --> 00:55:04,280 Speaker 9: Do you know what I mean? Like they have scared 1015 00:55:04,320 --> 00:55:07,000 Speaker 9: people for so long that nobody has scared anymore. Like 1016 00:55:07,000 --> 00:55:10,560 Speaker 9: it doesn't These same tactics do not work because it's 1017 00:55:10,560 --> 00:55:13,160 Speaker 9: just it's like the boy who cried. Well, regular voters 1018 00:55:13,280 --> 00:55:15,719 Speaker 9: understand negative attacks. They're not going to see the news 1019 00:55:15,760 --> 00:55:18,560 Speaker 9: and say, oh, I saw this commercial, he must be terrible. Right, 1020 00:55:18,920 --> 00:55:21,600 Speaker 9: there's more cynicism now than there used to be about 1021 00:55:21,600 --> 00:55:23,600 Speaker 9: that stuff. And so I think what Zorn did is 1022 00:55:23,640 --> 00:55:27,799 Speaker 9: he ran a pretty positive campaign where he was accessible 1023 00:55:28,080 --> 00:55:30,959 Speaker 9: and I think that and Ruben Diego was accessible too, 1024 00:55:31,480 --> 00:55:34,239 Speaker 9: Like people were always coming up to them the rodeos, 1025 00:55:34,520 --> 00:55:36,919 Speaker 9: the fight nights, like he was somebody that people saw 1026 00:55:37,000 --> 00:55:38,800 Speaker 9: in their community. That's important. 1027 00:55:39,160 --> 00:55:44,200 Speaker 11: So you're saying, get out there, talk to voters, do 1028 00:55:44,440 --> 00:55:49,360 Speaker 11: a ton of media, be every engaged with everyone. 1029 00:55:49,640 --> 00:55:50,879 Speaker 1: Yeah, talk about that. 1030 00:55:51,200 --> 00:55:54,279 Speaker 9: So Zora had two amazing things going well, actually a 1031 00:55:54,280 --> 00:55:57,080 Speaker 9: lot of things. One, he's incredibly intelligent, like a great 1032 00:55:57,080 --> 00:56:02,120 Speaker 9: candidate's he listens. He's somebody who was generally interested in 1033 00:56:02,360 --> 00:56:04,600 Speaker 9: other people and happy to be here and as. 1034 00:56:04,520 --> 00:56:08,200 Speaker 1: Fair as beautiful, which Burne you said is beautiful. 1035 00:56:08,200 --> 00:56:10,320 Speaker 9: He very good head of Harry, yes, but he also 1036 00:56:10,400 --> 00:56:14,040 Speaker 9: had this ability to get other people excited. Where he 1037 00:56:14,080 --> 00:56:17,879 Speaker 9: wound up having, you know, thirty thousand volunteers knocking off 1038 00:56:18,080 --> 00:56:20,040 Speaker 9: one million doors. That's just in New York City. I 1039 00:56:20,080 --> 00:56:23,360 Speaker 9: feel like the Harris campaign for the entire country broke records, 1040 00:56:23,360 --> 00:56:25,720 Speaker 9: but it was still only I don't know, eight million 1041 00:56:25,760 --> 00:56:28,520 Speaker 9: doors or I don't even remember, but like, one million 1042 00:56:28,560 --> 00:56:34,240 Speaker 9: doors in one city is astronomically amazing. And this team 1043 00:56:34,360 --> 00:56:36,520 Speaker 9: did that. They did They had volunteers who believed in 1044 00:56:36,800 --> 00:56:41,319 Speaker 9: their candidate and loved what he was saying. The affordability 1045 00:56:41,320 --> 00:56:44,200 Speaker 9: message resonated with him, and they wanted to campaign for 1046 00:56:44,280 --> 00:56:46,239 Speaker 9: him for a better New York, right, That's why. But 1047 00:56:46,400 --> 00:56:49,839 Speaker 9: also he would have these videos where he would talk 1048 00:56:49,840 --> 00:56:53,120 Speaker 9: about what he was doing in a very approachable, accessible way, 1049 00:56:53,680 --> 00:56:57,600 Speaker 9: and those videos took off. And then with debates, right, 1050 00:56:57,680 --> 00:57:00,319 Speaker 9: like a lot of people don't tune into debates on 1051 00:57:00,360 --> 00:57:02,920 Speaker 9: Donnie had one of the greatest debate performances I have 1052 00:57:03,160 --> 00:57:05,480 Speaker 9: ever seen. I mean, it was It reminded me of 1053 00:57:05,480 --> 00:57:07,600 Speaker 9: when Elizabeth Warren kind of wiped the floor with Mike 1054 00:57:07,600 --> 00:57:11,200 Speaker 9: Bloomberg back in Vegas, like he just he just laid 1055 00:57:11,200 --> 00:57:14,040 Speaker 9: it all out about all of Cuomo's flaws. And then 1056 00:57:14,080 --> 00:57:16,280 Speaker 9: he said, and the name is Mom Donnie, and he 1057 00:57:16,360 --> 00:57:20,400 Speaker 9: spelled it out right. That of him, what like tens 1058 00:57:20,440 --> 00:57:23,680 Speaker 9: of millions of us of that quick. There was like 1059 00:57:23,840 --> 00:57:27,280 Speaker 9: TikTok songs about it. It was like at the like nightclubs 1060 00:57:27,280 --> 00:57:30,040 Speaker 9: in Brooklyn. They were sampling it like it it popped 1061 00:57:30,360 --> 00:57:34,200 Speaker 9: right right, it broke exactly. And you know, there's so 1062 00:57:34,240 --> 00:57:36,840 Speaker 9: many democratic words where we're arguing over like a line 1063 00:57:36,880 --> 00:57:38,520 Speaker 9: in Politico or something like that. 1064 00:57:39,800 --> 00:57:43,840 Speaker 1: Nobody reads political really compared to breaking through. I mean, 1065 00:57:44,280 --> 00:57:46,720 Speaker 1: I read it too, but it's not the same bo. 1066 00:57:47,840 --> 00:57:49,800 Speaker 9: And what he was doing is he was getting he 1067 00:57:49,960 --> 00:57:53,480 Speaker 9: was getting to everybody, young people, non traditional voters. A 1068 00:57:53,480 --> 00:57:55,960 Speaker 9: lot of what we call non prime voters voted in 1069 00:57:55,960 --> 00:57:57,440 Speaker 9: New York City, people who don't. 1070 00:57:57,320 --> 00:57:59,720 Speaker 1: Vote all the time, right, young people. 1071 00:57:59,800 --> 00:58:02,080 Speaker 9: And there were people who were not no, not even 1072 00:58:02,160 --> 00:58:04,560 Speaker 9: young people. I'm talking about like occasional voters, right who 1073 00:58:04,600 --> 00:58:05,600 Speaker 9: might vote Angela. 1074 00:58:05,760 --> 00:58:06,000 Speaker 11: Wow. 1075 00:58:06,440 --> 00:58:09,520 Speaker 1: So the people who voted for Trump the threason fours 1076 00:58:09,720 --> 00:58:12,160 Speaker 1: or the ones, the ones, the ones. Yeah. 1077 00:58:12,240 --> 00:58:15,440 Speaker 9: So and also people who are not like yet on 1078 00:58:15,520 --> 00:58:17,840 Speaker 9: the books that Poland couldn't catch. Those are the young 1079 00:58:17,920 --> 00:58:20,560 Speaker 9: voters who hadn't voted me. They came out for him. 1080 00:58:20,760 --> 00:58:24,000 Speaker 9: So progressives talk a lot about expanding the electorate. Zora 1081 00:58:24,120 --> 00:58:25,760 Speaker 9: Mamdani expanded the electorate. 1082 00:58:25,960 --> 00:58:28,800 Speaker 1: Yeah, I thought that the race Sa Cuomo ran, he 1083 00:58:28,880 --> 00:58:32,160 Speaker 1: did almost no media and he was very cloistered. I 1084 00:58:32,200 --> 00:58:35,720 Speaker 1: would love you to talk about why that didn't work 1085 00:58:35,840 --> 00:58:37,920 Speaker 1: and also why that's a danger. 1086 00:58:38,240 --> 00:58:40,760 Speaker 9: I would say a rose garden strategy isn't going to 1087 00:58:40,800 --> 00:58:42,120 Speaker 9: work at all for anyone. 1088 00:58:42,160 --> 00:58:46,000 Speaker 1: Any explain to us what a rose garden strategy is. Please. 1089 00:58:46,440 --> 00:58:48,960 Speaker 9: That's like, you know, taking out the rose garden in 1090 00:58:48,960 --> 00:58:50,640 Speaker 9: the White House that I guess is no longer there 1091 00:58:50,680 --> 00:58:54,160 Speaker 9: but was once there, and people would go like, you know, 1092 00:58:54,200 --> 00:58:56,040 Speaker 9: you would be running for reelection and you could have 1093 00:58:56,080 --> 00:58:58,480 Speaker 9: press conference there, use the bully pulpit of the White 1094 00:58:58,520 --> 00:59:00,440 Speaker 9: House and not have to like go out and you 1095 00:59:00,640 --> 00:59:03,480 Speaker 9: shake hands and all that, and you can't unless you're 1096 00:59:03,480 --> 00:59:05,480 Speaker 9: in the middle of a pandemic, which hopefully will never 1097 00:59:05,480 --> 00:59:08,840 Speaker 9: happen again in our lifetimes, you can't do that, right. 1098 00:59:09,000 --> 00:59:13,240 Speaker 9: You have actually, you know, meet voters everywhere. And Cuomo 1099 00:59:13,320 --> 00:59:15,160 Speaker 9: had been governor for so long. He was so used 1100 00:59:15,200 --> 00:59:18,680 Speaker 9: to these very tight, controlled press conferences where he had 1101 00:59:18,760 --> 00:59:22,120 Speaker 9: been in his own office, you know, like exactly what 1102 00:59:22,160 --> 00:59:24,800 Speaker 9: he wanted to say, with exactly the visuals he wanted, 1103 00:59:24,840 --> 00:59:27,680 Speaker 9: with exactly the reporters he wanted to pick on, right, 1104 00:59:27,960 --> 00:59:30,320 Speaker 9: and New York City doesn't work like that, you know, 1105 00:59:30,440 --> 00:59:33,160 Speaker 9: like voters here expect you to like they expect to see. 1106 00:59:33,520 --> 00:59:35,320 Speaker 9: And it wasn't until the last few weeks of the 1107 00:59:35,440 --> 00:59:40,520 Speaker 9: campaign when Zorimandani was actually surging that you saw Cuomo 1108 00:59:40,560 --> 00:59:42,600 Speaker 9: out and about. I remember seeing him on TV. He 1109 00:59:42,640 --> 00:59:44,240 Speaker 9: was doing what we call a stand up so like 1110 00:59:44,360 --> 00:59:46,960 Speaker 9: right after like an event, he was did a pull 1111 00:59:47,000 --> 00:59:49,560 Speaker 9: aside with a reporter and I had never seen him 1112 00:59:49,560 --> 00:59:51,760 Speaker 9: like out in the wild before, like he was at 1113 00:59:51,840 --> 00:59:55,080 Speaker 9: a park. I had never seen him, and like I've 1114 00:59:55,080 --> 00:59:57,120 Speaker 9: been watching him on TV for you know, Deagge had 1115 00:59:57,200 --> 01:00:02,680 Speaker 9: never seen him like in nature. So I think it 1116 01:00:02,760 --> 01:00:06,680 Speaker 9: was he just they thought Mom Donnie was the candidate 1117 01:00:06,760 --> 01:00:08,880 Speaker 9: that they most wanted to take on, but they completely 1118 01:00:08,960 --> 01:00:12,880 Speaker 9: underestimated how Mam Donnie was resonating with voters. And that's 1119 01:00:13,080 --> 01:00:16,720 Speaker 9: you know, Ruben Diego a much more conservative candidate than 1120 01:00:16,760 --> 01:00:19,280 Speaker 9: Mam Donnie. But he was able to connect with people 1121 01:00:19,280 --> 01:00:21,200 Speaker 9: the same way and was also underestimated. 1122 01:00:21,480 --> 01:00:24,960 Speaker 1: You're saying, go everywhere, do everything great. 1123 01:00:24,760 --> 01:00:26,960 Speaker 9: But also and compete on every platform too. 1124 01:00:27,280 --> 01:00:29,360 Speaker 1: Yes, you know what YouTube shorts are? 1125 01:00:29,400 --> 01:00:29,680 Speaker 10: Do you know? 1126 01:00:29,720 --> 01:00:32,320 Speaker 9: Like like short like short video, maybe people are watching it, 1127 01:00:32,400 --> 01:00:35,720 Speaker 9: you know this way, we do YouTube shorts in fact, 1128 01:00:36,120 --> 01:00:38,360 Speaker 9: so we had these YouTube videos, we have reels, we 1129 01:00:38,400 --> 01:00:41,560 Speaker 9: have TikTok, and people are used to seeing their news 1130 01:00:41,640 --> 01:00:44,120 Speaker 9: in these like short, digestible ways. And if you are 1131 01:00:44,120 --> 01:00:46,640 Speaker 9: a reader of the New York Times, there's a whole 1132 01:00:46,680 --> 01:00:49,040 Speaker 9: world out there that you don't know about. And that's 1133 01:00:49,040 --> 01:00:52,439 Speaker 9: the thing, like the disconnect in the electorate is because 1134 01:00:52,440 --> 01:00:55,480 Speaker 9: everybody's getting their news in a different way. Now. One 1135 01:00:55,520 --> 01:00:58,160 Speaker 9: of the canaries in the coal mine about Biden to 1136 01:00:58,320 --> 01:01:01,479 Speaker 9: me was a week before a debate, there were these 1137 01:01:02,160 --> 01:01:06,280 Speaker 9: videos all over TikTok on Biden at the Juneteenth event 1138 01:01:06,720 --> 01:01:09,320 Speaker 9: where he didn't move. He was like frozen, and it 1139 01:01:09,400 --> 01:01:12,080 Speaker 9: was all right wing Twitter, right wing everything was all 1140 01:01:12,120 --> 01:01:14,920 Speaker 9: over it, and you didn't see it anywhere else, right, 1141 01:01:15,040 --> 01:01:17,720 Speaker 9: but I kept seeing these videos of him not moving 1142 01:01:17,880 --> 01:01:21,520 Speaker 9: at this Juneteenth event, and then when the debate happened, 1143 01:01:21,960 --> 01:01:24,040 Speaker 9: you know, like the rest of Amrit was like where 1144 01:01:24,040 --> 01:01:27,240 Speaker 9: did this come from? You know, and right wing media 1145 01:01:27,280 --> 01:01:29,440 Speaker 9: had been talking about it, and it was just completely 1146 01:01:29,480 --> 01:01:33,080 Speaker 9: missed by mainstream media, right it was. It was just like, 1147 01:01:33,160 --> 01:01:36,320 Speaker 9: there's so many different ways that people see the world, 1148 01:01:36,720 --> 01:01:39,080 Speaker 9: and if you were a candidate trying to get votes 1149 01:01:39,120 --> 01:01:41,680 Speaker 9: from every direction, you got to perform on every kind 1150 01:01:41,680 --> 01:01:42,640 Speaker 9: of platform there is. 1151 01:01:43,120 --> 01:01:46,400 Speaker 1: Yeah, no, it's a really good point. Rebecca. Thank you 1152 01:01:46,520 --> 01:01:50,200 Speaker 1: so much for making this work. I really appreciate all 1153 01:01:50,200 --> 01:01:51,040 Speaker 1: your insights. 1154 01:01:51,280 --> 01:01:58,200 Speaker 9: Thank you, of course, thanks for having me. No so far. 1155 01:01:59,400 --> 01:02:05,400 Speaker 2: Jesse Cannon Molly Ice held a Canadian citizen in custody 1156 01:02:05,800 --> 01:02:09,280 Speaker 2: and they died in their custody, and Canada is now 1157 01:02:09,400 --> 01:02:11,960 Speaker 2: pretty unhappy with us, as they really should be. 1158 01:02:12,320 --> 01:02:14,880 Speaker 1: Yeah, good work. I mean, by the way, we have 1159 01:02:15,000 --> 01:02:17,919 Speaker 1: the nicest neighbors and all we do is piss them off. 1160 01:02:18,120 --> 01:02:20,200 Speaker 1: So this is a guy. He was forty nine. He 1161 01:02:20,280 --> 01:02:23,480 Speaker 1: died on Monday while in custody in Miami pending a 1162 01:02:23,520 --> 01:02:27,880 Speaker 1: removal process. He had been in the US for forty years. Okay, 1163 01:02:28,120 --> 01:02:31,320 Speaker 1: forty years. We have seven other detainees who have died 1164 01:02:31,360 --> 01:02:35,120 Speaker 1: in ice custody in twenty twenty five, so they're killing 1165 01:02:35,320 --> 01:02:39,200 Speaker 1: They're literally killing people. Okay, And this guy entered the 1166 01:02:39,280 --> 01:02:42,000 Speaker 1: US in nineteen eighty eight on a legal visa and 1167 01:02:42,040 --> 01:02:45,760 Speaker 1: became a lawful permanent resident in nineteen ninety one, so 1168 01:02:46,320 --> 01:02:50,800 Speaker 1: he was, that said, a drug dealer, and he was 1169 01:02:50,840 --> 01:02:54,240 Speaker 1: sentenced to twelve months in prison for racketeering trafficking oxy 1170 01:02:54,520 --> 01:02:58,960 Speaker 1: an hydrocodone. So that's not great. But the fact that 1171 01:02:59,080 --> 01:03:01,760 Speaker 1: he died and ice facility, and that we have so 1172 01:03:01,840 --> 01:03:04,439 Speaker 1: many people dying in ice facilities is. 1173 01:03:04,680 --> 01:03:06,120 Speaker 9: Really, really, really bad. 1174 01:03:06,320 --> 01:03:11,000 Speaker 1: And the fact that we have this ongoing situation with 1175 01:03:11,200 --> 01:03:15,600 Speaker 1: Canada where they're already so mad at us from the 1176 01:03:15,680 --> 01:03:19,240 Speaker 1: trade stuff and the you know, wanting to take over 1177 01:03:19,320 --> 01:03:24,360 Speaker 1: the country stuff, that this in fact will make everything 1178 01:03:24,440 --> 01:03:28,200 Speaker 1: ten times worse is really fucking bad. I really want 1179 01:03:28,680 --> 01:03:31,440 Speaker 1: just for a minute to talk about this, which is, 1180 01:03:31,760 --> 01:03:37,000 Speaker 1: we really are in a moment where Trump is constantly 1181 01:03:37,520 --> 01:03:42,200 Speaker 1: agitating both Canada and Mexico for seemingly no reason. It 1182 01:03:42,280 --> 01:03:46,920 Speaker 1: is really such a stupid waste of time. He could 1183 01:03:46,960 --> 01:03:50,439 Speaker 1: be working with our friends and allies and not agitating them. 1184 01:03:50,680 --> 01:03:56,200 Speaker 1: It's just this is so incredibly stupid and shortsighted and 1185 01:03:56,600 --> 01:04:01,320 Speaker 1: disappointing on every sense. And also is really really scary, 1186 01:04:01,400 --> 01:04:04,080 Speaker 1: and we're just seeing every day, we're seeing more and 1187 01:04:04,160 --> 01:04:08,640 Speaker 1: more really really scary bits of information about what ICE 1188 01:04:08,720 --> 01:04:10,920 Speaker 1: is doing, and it's really really shocking. 1189 01:04:11,320 --> 01:04:15,560 Speaker 2: Under educated people in masks with weapons bullying people around 1190 01:04:15,720 --> 01:04:17,920 Speaker 2: doesn't lead to good things, No, it does not. 1191 01:04:19,080 --> 01:04:23,439 Speaker 1: That's it for this episode of Fast Politics. Tune in 1192 01:04:23,760 --> 01:04:29,200 Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best 1193 01:04:29,280 --> 01:04:33,560 Speaker 1: minds and politics make sense of all this chaos. If 1194 01:04:33,600 --> 01:04:36,680 Speaker 1: you enjoy this podcast, please send it to a friend 1195 01:04:37,120 --> 01:04:40,360 Speaker 1: and keep the conversation going. Thanks for listening.