1 00:00:00,640 --> 00:00:04,560 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics. Well, 2 00:00:04,600 --> 00:00:07,640 Speaker 1: we discussed the top political headlines with some of today's 3 00:00:07,680 --> 00:00:08,680 Speaker 1: best minds. 4 00:00:08,760 --> 00:00:10,959 Speaker 2: We're on vacation, but that doesn't mean we don't have 5 00:00:11,000 --> 00:00:14,240 Speaker 2: a great show for you Today. Bolts Magazines Daniel Nacatia 6 00:00:14,440 --> 00:00:16,960 Speaker 2: details how states are going to affect policy in twenty 7 00:00:17,000 --> 00:00:19,480 Speaker 2: twenty five. But first we'll talk to mother Jones Eda 8 00:00:19,520 --> 00:00:23,680 Speaker 2: Merlin about how rfk's conspiracy minded world is making new 9 00:00:23,720 --> 00:00:25,520 Speaker 2: conspiracy theories about a pandemic. 10 00:00:25,960 --> 00:00:29,440 Speaker 1: Welcome back to past polity, Axanna, thanks for having me. 11 00:00:29,880 --> 00:00:33,760 Speaker 1: What's happening right now is so completely insane, So I 12 00:00:33,840 --> 00:00:37,200 Speaker 1: want you to first talk to us about this paranoia 13 00:00:37,240 --> 00:00:40,159 Speaker 1: about a post inauguration plandemic. 14 00:00:40,720 --> 00:00:41,080 Speaker 3: Yeah. 15 00:00:41,320 --> 00:00:46,600 Speaker 4: So, essentially what happened with this is that a scientist 16 00:00:46,600 --> 00:00:50,920 Speaker 4: and vaccine expert named doctor Peter Hotez went on MSNBC 17 00:00:51,640 --> 00:00:55,760 Speaker 4: and said that there are these kind of obvious disease 18 00:00:55,800 --> 00:00:58,720 Speaker 4: outbreak threats the next Trump administration is going to. 19 00:00:58,680 --> 00:00:59,240 Speaker 5: Have to deal with. 20 00:00:59,400 --> 00:01:02,360 Speaker 4: Right specifically, he said, we have some big picture stuff 21 00:01:02,400 --> 00:01:05,360 Speaker 4: coming down the pipe, meaning you know, ab and flu news, 22 00:01:05,360 --> 00:01:09,400 Speaker 4: streams of COVID, other potential outbreaks and sort of conspiracy 23 00:01:09,400 --> 00:01:11,040 Speaker 4: theorists mostly on the rate took that to me and 24 00:01:11,120 --> 00:01:15,160 Speaker 4: that he was threatening to unleash disease outbreaks during the 25 00:01:15,200 --> 00:01:18,920 Speaker 4: next Trump administration, because he also said all that stuff 26 00:01:18,959 --> 00:01:22,759 Speaker 4: is going to come crashing down on January twenty first 27 00:01:22,800 --> 00:01:25,040 Speaker 4: on the Trump administration. We need a really good team 28 00:01:25,080 --> 00:01:27,280 Speaker 4: to be able to handle this. So that was taken 29 00:01:27,319 --> 00:01:29,600 Speaker 4: as not just he's warning about disease outbreaks. That was 30 00:01:29,600 --> 00:01:31,040 Speaker 4: taken as he says they're going to He's going to 31 00:01:31,120 --> 00:01:33,520 Speaker 4: cause them, which is ridiculous. 32 00:01:33,200 --> 00:01:39,360 Speaker 1: Right, It is so completely beyond crazy this idea. So 33 00:01:39,760 --> 00:01:42,119 Speaker 1: what is the thinking here and who are the people 34 00:01:42,160 --> 00:01:43,360 Speaker 1: who are narrating this? 35 00:01:44,000 --> 00:01:44,280 Speaker 6: Right? 36 00:01:44,319 --> 00:01:46,920 Speaker 4: So, I think the first important thing to kind of 37 00:01:47,040 --> 00:01:50,840 Speaker 4: know here is that doctor Hotez is a really frequent 38 00:01:51,520 --> 00:01:55,400 Speaker 4: sort of target of the anti vaccine movement and the 39 00:01:55,520 --> 00:01:58,080 Speaker 4: right and the far right, you know, just to kind 40 00:01:58,080 --> 00:02:00,760 Speaker 4: of set the scene, he's, like I believe he's he 41 00:02:00,840 --> 00:02:03,800 Speaker 4: wears a bow tie. He's a recognized vaccine expert and 42 00:02:03,880 --> 00:02:05,880 Speaker 4: has been for years and was a real proponent during 43 00:02:05,920 --> 00:02:08,440 Speaker 4: COVID four people to get vaccinated. And then all of 44 00:02:08,480 --> 00:02:10,280 Speaker 4: that has put him on the radar of people like 45 00:02:10,320 --> 00:02:13,560 Speaker 4: Steve Bannon and Carlson and Joe Rogan and Aaron Rodgers, 46 00:02:13,600 --> 00:02:16,600 Speaker 4: all of them have denounced him in pretty like personal 47 00:02:16,680 --> 00:02:20,760 Speaker 4: terms over the years. So almost anytime he says anything, 48 00:02:21,080 --> 00:02:24,800 Speaker 4: he faces some degree of sort of outrage, harassment, pushback, 49 00:02:24,840 --> 00:02:28,920 Speaker 4: what have you. But talking specifically about these new threats 50 00:02:28,919 --> 00:02:31,280 Speaker 4: that the next Trump administration is going to face also 51 00:02:31,320 --> 00:02:34,480 Speaker 4: ran into this other thing, which is that the broader 52 00:02:34,600 --> 00:02:38,320 Speaker 4: kind of conspiracy community has been warning that, you know, 53 00:02:38,520 --> 00:02:41,200 Speaker 4: the deep spit, deep state or other dark forces are 54 00:02:41,240 --> 00:02:44,280 Speaker 4: going to try to interfere with Trump's presidency, you know, 55 00:02:44,320 --> 00:02:46,239 Speaker 4: and somehow set him up for failure, which it's worth 56 00:02:46,280 --> 00:02:49,320 Speaker 4: noting they also said this last time before he took office, 57 00:02:49,320 --> 00:02:52,000 Speaker 4: Like Alex Jones said before Trump took office the first time, 58 00:02:52,280 --> 00:02:54,680 Speaker 4: you know, they're not going to let him take office, 59 00:02:54,680 --> 00:02:56,720 Speaker 4: And so there's a lot of that now. This just 60 00:02:56,760 --> 00:02:59,880 Speaker 4: sort of created a kind of perfect storm situation where 61 00:02:59,880 --> 00:03:03,760 Speaker 4: the folks are trying to tell their audiences that Trump 62 00:03:03,800 --> 00:03:07,079 Speaker 4: is already under threat, right and running up against something 63 00:03:07,120 --> 00:03:09,680 Speaker 4: that is real and true, which is there are probably 64 00:03:09,720 --> 00:03:11,880 Speaker 4: going to be some pretty serious disease outbreaks in the 65 00:03:11,919 --> 00:03:14,839 Speaker 4: next couple of years. In California, today declared a state 66 00:03:14,880 --> 00:03:19,200 Speaker 4: of emergency over the Avian flu outbreak, we're seeing new 67 00:03:19,280 --> 00:03:23,320 Speaker 4: cases in human beings, which is pretty scary. 68 00:03:23,600 --> 00:03:23,800 Speaker 6: You know. 69 00:03:23,800 --> 00:03:26,960 Speaker 4: We've seen a couple of disease outbreaks in Africa, specifically 70 00:03:27,000 --> 00:03:30,560 Speaker 4: in Congo. There's a really devastating measles outbreak and also 71 00:03:30,600 --> 00:03:32,920 Speaker 4: an outbreak of novel disease that they're not sure what 72 00:03:33,000 --> 00:03:35,280 Speaker 4: it is yet, right, and then COVID is always a threat. 73 00:03:35,320 --> 00:03:37,600 Speaker 4: We're seeing COVID cases starting to tick back up. So 74 00:03:38,080 --> 00:03:41,200 Speaker 4: by warning that there's going to be a quote unquote plandemic, 75 00:03:41,400 --> 00:03:43,880 Speaker 4: like by implying that doctor Hotez or some other people 76 00:03:43,920 --> 00:03:47,240 Speaker 4: are going to cause the next pandemic, it acknowledges that 77 00:03:47,280 --> 00:03:49,240 Speaker 4: it's going to happen, and then it's real. But it 78 00:03:49,280 --> 00:03:55,320 Speaker 4: puts the blame onto a more politically useful group of actors. 79 00:03:55,720 --> 00:03:59,960 Speaker 1: Yeah, because it's much better if they can get mad 80 00:04:00,120 --> 00:04:02,280 Speaker 1: at the left than the right, is what you're saying. 81 00:04:02,480 --> 00:04:04,760 Speaker 4: Well, and if it's a conspiracy, right, if it's not 82 00:04:04,840 --> 00:04:09,080 Speaker 4: just like the outbreak of infectious disease has been happening 83 00:04:09,320 --> 00:04:12,600 Speaker 4: for years, it's better if it has a person behind 84 00:04:12,640 --> 00:04:15,720 Speaker 4: it to blame, preferably somebody who can be depicted as 85 00:04:15,760 --> 00:04:18,640 Speaker 4: sort of like an opponent of Donald Trump. So you know, 86 00:04:18,720 --> 00:04:21,560 Speaker 4: I'm seeing like Mickey willis sharing these ideas. Who's the 87 00:04:21,600 --> 00:04:24,960 Speaker 4: filmmaker who produced pandemic right of course, you know, which 88 00:04:24,960 --> 00:04:28,000 Speaker 4: implied that COVID nineteen was sort of deliberately created and 89 00:04:28,480 --> 00:04:31,320 Speaker 4: unleashed several pretty well known kind of anti vac seating 90 00:04:31,360 --> 00:04:34,760 Speaker 4: figures conspiratorial news sites like info wars and natural News. 91 00:04:34,839 --> 00:04:39,320 Speaker 4: So this one got a pretty wide amount of pickup 92 00:04:39,480 --> 00:04:41,839 Speaker 4: because it was useful for so many different people. 93 00:04:42,279 --> 00:04:44,240 Speaker 5: Yeah, I would love you to talk about it. 94 00:04:44,240 --> 00:04:48,720 Speaker 1: How a lot of these conspiracies are actually used by 95 00:04:49,360 --> 00:04:51,919 Speaker 1: people on the right to push a narrative. 96 00:04:52,240 --> 00:04:53,960 Speaker 5: Can you talk a little more about them. 97 00:04:54,400 --> 00:04:57,159 Speaker 4: The common thread with a lot of these is that 98 00:04:57,279 --> 00:05:01,000 Speaker 4: they create someone to blame, right, They create a sense 99 00:05:01,200 --> 00:05:04,080 Speaker 4: of a group of evil doers, like working in secret 100 00:05:04,160 --> 00:05:07,400 Speaker 4: against the common good, you know, kind of classic conspiracy stuff. 101 00:05:07,640 --> 00:05:11,080 Speaker 4: And so folding in new disease outbreaks into that is useful, 102 00:05:11,160 --> 00:05:14,559 Speaker 4: It's helpful. It creates a common energy, someone to blame, 103 00:05:14,600 --> 00:05:17,040 Speaker 4: someone to get mad at. And as we saw with 104 00:05:17,360 --> 00:05:20,479 Speaker 4: for instance, QAnon, you know, the basis of the qnon 105 00:05:20,560 --> 00:05:23,960 Speaker 4: conspiracy theory was that Donald Trump was doing a really 106 00:05:23,960 --> 00:05:26,000 Speaker 4: good job, but that a group of evil doers were 107 00:05:26,000 --> 00:05:29,239 Speaker 4: working against him and we're undermining him. So this idea 108 00:05:29,360 --> 00:05:32,760 Speaker 4: of a deep state or a sinister group of scientists 109 00:05:32,839 --> 00:05:36,159 Speaker 4: or some other kind of group of villains thwarting what 110 00:05:36,200 --> 00:05:40,120 Speaker 4: Donald Trump is trying to do is a useful idea if, 111 00:05:40,160 --> 00:05:43,800 Speaker 4: for instance, Donald Trump is having trouble getting things done. 112 00:05:43,880 --> 00:05:47,040 Speaker 1: So it's sort of way to give him an out 113 00:05:47,080 --> 00:05:49,080 Speaker 1: if he can't do some of the things he might 114 00:05:49,120 --> 00:05:49,520 Speaker 1: want to do. 115 00:05:49,960 --> 00:05:54,359 Speaker 4: Yeah, just sort of like preemptively create a set of 116 00:05:55,320 --> 00:05:58,040 Speaker 4: let's say too, yeah, a set of villains, a set 117 00:05:58,080 --> 00:06:02,039 Speaker 4: of factors that could be used to create an out 118 00:06:02,160 --> 00:06:04,720 Speaker 4: or you know, an alternate explanation for anything that does 119 00:06:04,760 --> 00:06:07,160 Speaker 4: not happen during the next Rump administration. Because he's making 120 00:06:07,200 --> 00:06:10,200 Speaker 4: really big promises, and so are people who are going 121 00:06:10,240 --> 00:06:12,120 Speaker 4: to be in administration. 122 00:06:11,880 --> 00:06:15,960 Speaker 1: Broad expensive, hard to maneuver promises totally. 123 00:06:16,080 --> 00:06:17,839 Speaker 4: You know, I mean, when you say that you're going 124 00:06:17,920 --> 00:06:21,239 Speaker 4: to solve all of these issues on day one, whether 125 00:06:21,480 --> 00:06:25,040 Speaker 4: it is the war in Ukraine, the war in Gaza. 126 00:06:25,360 --> 00:06:27,480 Speaker 4: You know, if you're Robert F. Kennedy Junior and you're 127 00:06:27,480 --> 00:06:29,520 Speaker 4: claiming that you're going to end ill. 128 00:06:29,320 --> 00:06:32,120 Speaker 5: Health, whatever that means, it's pretty vague. 129 00:06:32,560 --> 00:06:35,839 Speaker 4: Yeah, but yeah, I mean, these are incredibly broad claims, 130 00:06:35,880 --> 00:06:37,680 Speaker 4: and if you can't get them done, then it would 131 00:06:37,720 --> 00:06:40,080 Speaker 4: be great to be able to blame someone in advance. 132 00:06:40,480 --> 00:06:45,680 Speaker 1: So let's just for another minute talk about why I'm 133 00:06:45,680 --> 00:06:48,400 Speaker 1: wondering if you could explain to us sort of one 134 00:06:48,440 --> 00:06:49,560 Speaker 1: of the things that I've. 135 00:06:49,400 --> 00:06:52,120 Speaker 5: Been destruck by when we talk about our Cage Junior. 136 00:06:52,320 --> 00:06:55,800 Speaker 1: Part of K Junior actually brought a group into MAGA world. 137 00:06:56,040 --> 00:06:58,479 Speaker 5: They are really the other side of the horseshoe in 138 00:06:58,520 --> 00:07:00,880 Speaker 5: a lot of ways. I'm hoping you could talk. 139 00:07:00,720 --> 00:07:04,360 Speaker 1: About sort of who RFK Junior's people are and why 140 00:07:04,440 --> 00:07:05,040 Speaker 1: they exist. 141 00:07:05,640 --> 00:07:05,839 Speaker 3: Right. 142 00:07:06,120 --> 00:07:09,160 Speaker 4: First of all, I should plug Conspiratuality, the podcasts that 143 00:07:09,320 --> 00:07:13,840 Speaker 4: talks about the kind of incursion of right and far 144 00:07:14,000 --> 00:07:17,440 Speaker 4: right beliefs into the New Age health and wellness world 145 00:07:17,680 --> 00:07:19,840 Speaker 4: if you're curious about this, because they've done really great 146 00:07:19,880 --> 00:07:21,600 Speaker 4: work over the years talking about the ways that these 147 00:07:21,640 --> 00:07:25,160 Speaker 4: different characters kind of appear and join forces. But you know, 148 00:07:25,320 --> 00:07:27,760 Speaker 4: the first thing that Kennedy was in his adult life 149 00:07:27,840 --> 00:07:30,160 Speaker 4: was an environmental lawyer, and the second thing was an 150 00:07:30,200 --> 00:07:33,600 Speaker 4: anti vaccine activist. He's claimed that he got involved in 151 00:07:33,640 --> 00:07:36,440 Speaker 4: the vaccine issue in like two thousand and five because 152 00:07:36,480 --> 00:07:39,960 Speaker 4: you know, concerned mother came to him. But he has 153 00:07:40,080 --> 00:07:44,400 Speaker 4: created a really outsized public image in the anti vaccine 154 00:07:44,400 --> 00:07:47,960 Speaker 4: world as a crusader for their health right and has 155 00:07:48,120 --> 00:07:52,200 Speaker 4: like a real intense fandom in the anti vaccine world, 156 00:07:52,280 --> 00:07:56,720 Speaker 4: especially among mothers who believe that their children were harmed 157 00:07:56,760 --> 00:08:02,560 Speaker 4: by vaccines. And because he's built this incredibly like adoring 158 00:08:03,080 --> 00:08:05,840 Speaker 4: fan base, a lot of them were just automatically like 159 00:08:05,920 --> 00:08:08,920 Speaker 4: willing to follow him when he began this kind of 160 00:08:09,120 --> 00:08:12,160 Speaker 4: presidential run in this political career, willing to advocate for 161 00:08:12,200 --> 00:08:15,880 Speaker 4: his campaign. And then when his campaign started to founder 162 00:08:15,920 --> 00:08:19,360 Speaker 4: and he decided to suspend it and endorse Donald Trump, 163 00:08:19,600 --> 00:08:22,880 Speaker 4: he made what was a pretty canny sort of marketing 164 00:08:23,040 --> 00:08:26,120 Speaker 4: decision and started promoting this idea of the make America 165 00:08:26,160 --> 00:08:29,320 Speaker 4: Healthy Again movement in Maha, and Maha was meant to 166 00:08:29,360 --> 00:08:32,880 Speaker 4: be a way to kind of unite the concerns of 167 00:08:33,400 --> 00:08:37,720 Speaker 4: Trump voters and sort of Kennedy fans under one umbrella. 168 00:08:37,920 --> 00:08:42,360 Speaker 4: And it's not always like the most comfortable relationship, you know, 169 00:08:42,640 --> 00:08:46,120 Speaker 4: Like Kennedy is obviously a pretty big proponent of what 170 00:08:46,200 --> 00:08:49,520 Speaker 4: he considers to be healthy foods. There was that viral 171 00:08:49,559 --> 00:08:52,040 Speaker 4: image of him sitting uncomfortably at a table with Donald 172 00:08:52,080 --> 00:08:55,160 Speaker 4: Trump and some other people, you know, with McDonald's in 173 00:08:55,160 --> 00:08:57,479 Speaker 4: front of him, looking uncomfortable. 174 00:08:57,760 --> 00:08:57,840 Speaker 1: It. 175 00:08:58,280 --> 00:09:01,000 Speaker 4: You know, it's not always like the most natural kind 176 00:09:01,000 --> 00:09:03,839 Speaker 4: of marriage between these two sides, but they do share 177 00:09:03,880 --> 00:09:07,040 Speaker 4: some things in common, chiefly the sense that the government 178 00:09:07,320 --> 00:09:10,520 Speaker 4: regulates too much, especially around food safety. 179 00:09:10,960 --> 00:09:16,920 Speaker 1: Right, which is ironic because part of the problem here 180 00:09:16,960 --> 00:09:20,800 Speaker 1: when you think about like microplastics, the kind of thing 181 00:09:20,840 --> 00:09:23,120 Speaker 1: wouldn't that be a lack of government regulation. 182 00:09:23,679 --> 00:09:26,320 Speaker 4: Yeah, I mean, so this is interesting because both the 183 00:09:26,360 --> 00:09:28,760 Speaker 4: Maha people and the more died in the wole Trump 184 00:09:28,840 --> 00:09:33,320 Speaker 4: people do share this sense of government overreach and this 185 00:09:33,400 --> 00:09:35,680 Speaker 4: idea that, yeah, that the government is doing too much 186 00:09:35,679 --> 00:09:38,720 Speaker 4: and regulates too much around food and around medication. But yeah, 187 00:09:38,920 --> 00:09:41,760 Speaker 4: when we talk about a lot of the goals that 188 00:09:42,120 --> 00:09:47,240 Speaker 4: Kennedy wants to achieve, they are more about better and 189 00:09:47,360 --> 00:09:51,000 Speaker 4: further regulation of food safety. I mean, he also sort 190 00:09:51,040 --> 00:09:54,400 Speaker 4: of falsely claims that vaccines are unsafe, that they are 191 00:09:54,400 --> 00:09:56,600 Speaker 4: not tested, that they are not regulated in a way 192 00:09:56,640 --> 00:09:59,199 Speaker 4: that other drugs are, none of which is true. But again, 193 00:09:59,400 --> 00:10:01,640 Speaker 4: like to me, that sounds like he's making an argument 194 00:10:01,760 --> 00:10:05,679 Speaker 4: for more government oversight, not less right, but you know, 195 00:10:05,960 --> 00:10:10,280 Speaker 4: as the nominee for the head of AHHS, you know, 196 00:10:10,840 --> 00:10:12,960 Speaker 4: it seems like a lot of what he's talking about 197 00:10:13,040 --> 00:10:18,520 Speaker 4: is cutting funding and regulation and sort of like taking 198 00:10:18,559 --> 00:10:22,760 Speaker 4: away funding, especially from agencies that he considers to be corrupt, 199 00:10:22,880 --> 00:10:24,280 Speaker 4: like the NIH and the CDC. 200 00:10:24,840 --> 00:10:28,040 Speaker 5: So that's where raw milk comes into it. Can you 201 00:10:28,120 --> 00:10:29,400 Speaker 5: talk about raw milk? 202 00:10:29,840 --> 00:10:33,760 Speaker 4: Yeah, specifically raw milk. Where it relates to Kennedy is 203 00:10:33,880 --> 00:10:35,920 Speaker 4: he did this kind of viral tweet a while ago 204 00:10:35,960 --> 00:10:38,600 Speaker 4: where he was talking about all of the things that 205 00:10:38,640 --> 00:10:43,120 Speaker 4: he wants to reduce oversight of or you know, enforcement 206 00:10:43,160 --> 00:10:47,559 Speaker 4: actions against when he's the head of the AHHS. In October, 207 00:10:47,600 --> 00:10:49,920 Speaker 4: he had this kind of viral tweet where he said, 208 00:10:49,920 --> 00:10:52,240 Speaker 4: you know, the Fday's war on public health is about 209 00:10:52,280 --> 00:10:56,439 Speaker 4: to end. This includes its aggressive suppression of psychedelics, peptides, 210 00:10:56,520 --> 00:11:02,040 Speaker 4: stem cells, raw milk, hyperbaric therapies, kulating compound, impromectin, hydroxy clark, 211 00:11:02,080 --> 00:11:06,840 Speaker 4: when vitamins, clean food, sunshine, exercise, nutriceuticals, and anything else 212 00:11:06,880 --> 00:11:10,160 Speaker 4: that advances human health and can't be patented by pharma. Right, 213 00:11:10,400 --> 00:11:12,400 Speaker 4: and he's been super critical. 214 00:11:12,120 --> 00:11:14,280 Speaker 5: Of the war on sunshine. 215 00:11:14,600 --> 00:11:17,520 Speaker 4: Yeah, of course, right, But yeah, he's been super critical 216 00:11:17,520 --> 00:11:19,680 Speaker 4: of the FDA, and the USDA is sort of enforcement 217 00:11:19,679 --> 00:11:25,120 Speaker 4: actions against raw milk distributors when they are either taking 218 00:11:25,160 --> 00:11:29,320 Speaker 4: stuff across state lines or when you know, testing reveals 219 00:11:29,320 --> 00:11:32,480 Speaker 4: the presence of a flu, as it has recently. So yeah, 220 00:11:32,520 --> 00:11:34,840 Speaker 4: he's made it pretty clear that he considers raw milk 221 00:11:34,960 --> 00:11:39,480 Speaker 4: to be a health food that is inappropriately suppressed by 222 00:11:39,480 --> 00:11:40,280 Speaker 4: the federal government. 223 00:11:40,840 --> 00:11:45,160 Speaker 1: So interesting. Yeah, the war on sunlight is a real one. 224 00:11:45,400 --> 00:11:49,000 Speaker 1: So it's funny because this is so stupid. But then 225 00:11:49,240 --> 00:11:53,480 Speaker 1: also there's a certain like can you make the raw 226 00:11:53,640 --> 00:11:56,440 Speaker 1: milk and the ball of Arena farm stuff makes sense 227 00:11:56,480 --> 00:11:59,000 Speaker 1: for us. I think you have to explain Ballerina Farm 228 00:11:59,080 --> 00:12:02,959 Speaker 1: for the few, the few lucky people who don't know what. 229 00:12:02,800 --> 00:12:06,480 Speaker 4: This is, right, So, Vallerina Farm is a woman in 230 00:12:06,720 --> 00:12:10,319 Speaker 4: whose real name is Hannah Neilman. Basically, she's a social 231 00:12:10,320 --> 00:12:13,440 Speaker 4: media influencer. She's often referred to as a tradwife, though 232 00:12:13,480 --> 00:12:17,360 Speaker 4: I think she denies that, like she doesn't identify with 233 00:12:17,400 --> 00:12:21,239 Speaker 4: that designation. She is a woman who with her husband, 234 00:12:21,600 --> 00:12:26,920 Speaker 4: owns a farm in Utah and sells meat and sells 235 00:12:26,960 --> 00:12:30,200 Speaker 4: sourdos starter and kind of cultivates a what to me 236 00:12:30,280 --> 00:12:32,880 Speaker 4: seems like a tradwive aesthetic on social media, where she 237 00:12:32,960 --> 00:12:35,480 Speaker 4: has like a million, Oh, I'm sorry, she has ten 238 00:12:35,480 --> 00:12:38,600 Speaker 4: million Instagram followers and nine million on TikTok. 239 00:12:38,720 --> 00:12:39,480 Speaker 5: I actually don't know what. 240 00:12:39,480 --> 00:12:41,720 Speaker 4: Her stance is specifically on raw Milk, but I would 241 00:12:41,760 --> 00:12:45,880 Speaker 4: say that the tradwives, like some of the Raw Milk influencers, 242 00:12:45,920 --> 00:12:50,600 Speaker 4: sort of present themselves as advocating for an older, healthier, 243 00:12:50,840 --> 00:12:54,520 Speaker 4: more sort of a nostalgic view of health and wellness 244 00:12:54,800 --> 00:12:57,960 Speaker 4: that harkens back to an earlier and better and more 245 00:12:57,960 --> 00:13:00,120 Speaker 4: innocent time basically. 246 00:13:00,120 --> 00:13:02,720 Speaker 5: For the modern life. 247 00:13:02,800 --> 00:13:06,400 Speaker 1: I mean, the idea is that somehow modernity has ruined 248 00:13:06,440 --> 00:13:07,400 Speaker 1: American life. 249 00:13:07,800 --> 00:13:10,319 Speaker 4: Yeah, and we see that right in all kinds of 250 00:13:10,320 --> 00:13:14,199 Speaker 4: different areas, whether it is masculinity influencers talking about feminism 251 00:13:14,240 --> 00:13:17,160 Speaker 4: as the corrosive force, whether it's tribal wives also talking 252 00:13:17,200 --> 00:13:20,480 Speaker 4: about feminism as a corrosive force, whether it is mister 253 00:13:20,559 --> 00:13:24,000 Speaker 4: Kennedy saying that, you know, US health and safety agencies 254 00:13:24,040 --> 00:13:28,600 Speaker 4: are sort of inappropriately regulating things that we're seen as 255 00:13:28,600 --> 00:13:31,319 Speaker 4: healthy in previous eras, though of course that's not true 256 00:13:31,440 --> 00:13:34,680 Speaker 4: for things like hyperberic occiden chambers or chelating compounds. We've 257 00:13:34,720 --> 00:13:37,120 Speaker 4: been pasteurizing milk for a really long time because we 258 00:13:37,240 --> 00:13:40,760 Speaker 4: learned that it makes it much more difficult to get 259 00:13:40,960 --> 00:13:43,960 Speaker 4: things like tuberculosis listeriosis. 260 00:13:43,960 --> 00:13:47,080 Speaker 1: Like, yeah, yes, we have really ended up through the 261 00:13:47,480 --> 00:13:48,240 Speaker 1: rabbit hole here. 262 00:13:48,640 --> 00:13:51,160 Speaker 5: I'd love you to talk just for two seconds about 263 00:13:51,200 --> 00:13:52,680 Speaker 5: the polio vaccine. 264 00:13:52,840 --> 00:13:54,920 Speaker 4: So basically, there's a story in The New York Times 265 00:13:54,920 --> 00:13:57,600 Speaker 4: this week about how an attorney named Arion Siri, who's 266 00:13:57,600 --> 00:13:59,760 Speaker 4: a big player in the anti vaccine movement and who's 267 00:13:59,840 --> 00:14:02,360 Speaker 4: kind of linked to mister Kennedy and some other big 268 00:14:02,520 --> 00:14:05,439 Speaker 4: anti vaccine players like Dell big Tree, he filed a 269 00:14:05,480 --> 00:14:09,960 Speaker 4: petition for the government to revoke its approval of one 270 00:14:10,000 --> 00:14:13,040 Speaker 4: of the polio vaccines that is currently used in the 271 00:14:13,120 --> 00:14:17,680 Speaker 4: United States. He's also filed petitions seeking to pause the 272 00:14:17,679 --> 00:14:22,880 Speaker 4: distribution of other vaccines, including COVID vaccines. So this is 273 00:14:22,920 --> 00:14:26,280 Speaker 4: the long shot. Currently, this is not something that the 274 00:14:26,320 --> 00:14:30,400 Speaker 4: federal government would do, especially not for the specific polio 275 00:14:30,480 --> 00:14:32,120 Speaker 4: vaccine that was used in the United States. So it 276 00:14:32,160 --> 00:14:34,720 Speaker 4: is just widely considered to be extremely safe, very effective. 277 00:14:34,960 --> 00:14:38,240 Speaker 4: It is incredibly rare for children or adults in the 278 00:14:38,320 --> 00:14:41,840 Speaker 4: US to get polio anymore, which it didn't used to be. Basically, 279 00:14:41,840 --> 00:14:45,520 Speaker 4: Aaron Siri represents a group called I CAN, which is 280 00:14:45,760 --> 00:14:48,160 Speaker 4: owned by Dell Big Trees and anti vaccine Actiputs who 281 00:14:48,120 --> 00:14:51,200 Speaker 4: worked for Robert F. Kennedy Junior's campaign, and these petitions 282 00:14:51,240 --> 00:14:54,680 Speaker 4: to revoke authorization of these certain vaccines are being put 283 00:14:54,720 --> 00:14:58,880 Speaker 4: out by I CAN. So basically, right now, the idea 284 00:14:58,920 --> 00:15:01,160 Speaker 4: that the FDA would read petitions and be like, yeah, 285 00:15:01,200 --> 00:15:04,360 Speaker 4: we should do that is incredibly far fetched. With Robert F. 286 00:15:04,440 --> 00:15:08,520 Speaker 4: Kennedy Junior over AHHS, which is over the FDA, maybe 287 00:15:08,520 --> 00:15:11,840 Speaker 4: that would change. So it's more kind of about at 288 00:15:11,840 --> 00:15:16,160 Speaker 4: this point signaling what the priorities are for allies of 289 00:15:16,320 --> 00:15:20,280 Speaker 4: mister Kennedy if he is confirmed and sworn in as 290 00:15:20,320 --> 00:15:21,400 Speaker 4: head of AHHS. 291 00:15:21,640 --> 00:15:26,640 Speaker 1: This is such completely insane I should laugh. I laugh 292 00:15:26,720 --> 00:15:30,440 Speaker 1: to keep from crying. Thank you, thank you, thank you, 293 00:15:30,840 --> 00:15:31,880 Speaker 1: thank you for coming on. 294 00:15:32,320 --> 00:15:33,400 Speaker 4: Yeah, thank you for having me. 295 00:15:37,840 --> 00:15:40,440 Speaker 2: Daniel Lakatian is the editor of Bolt's bagazine. 296 00:15:40,680 --> 00:15:45,960 Speaker 1: Welcome back to Fast Politics, Daniel, talk us through state legislatures, 297 00:15:46,040 --> 00:15:46,920 Speaker 1: what's going on? 298 00:15:47,160 --> 00:15:51,000 Speaker 5: Talk us through elections? You're my election guy, among others. 299 00:15:51,440 --> 00:15:52,880 Speaker 6: Well, thanks for having me again. 300 00:15:52,960 --> 00:15:55,440 Speaker 3: It's yeah, a lot has changed since since I last 301 00:15:55,560 --> 00:15:56,160 Speaker 3: talked to you. 302 00:15:56,360 --> 00:15:57,680 Speaker 6: Quich probably was before the election. 303 00:15:58,080 --> 00:16:00,960 Speaker 3: We had bolts where I work reading low closely at 304 00:16:01,000 --> 00:16:03,480 Speaker 3: the state level, at the county level, which you know, 305 00:16:03,480 --> 00:16:06,720 Speaker 3: it doesn't get as much attention as obviously the federal elections. 306 00:16:06,960 --> 00:16:09,920 Speaker 3: Very understandable reasons, but when it comes to you know, 307 00:16:09,920 --> 00:16:11,600 Speaker 3: when it comes to a lot of things that people 308 00:16:11,720 --> 00:16:16,040 Speaker 3: really care about, including emotion rights, including civil rights, really 309 00:16:16,040 --> 00:16:17,280 Speaker 3: thinks that are going to be at the center of 310 00:16:17,320 --> 00:16:20,600 Speaker 3: the next two to four years. States are everything, especially 311 00:16:20,640 --> 00:16:23,920 Speaker 3: if you're a progressive, trying to find places where there 312 00:16:23,960 --> 00:16:28,320 Speaker 3: could be pushback, you know, cases where whether legal or political, 313 00:16:28,320 --> 00:16:30,160 Speaker 3: that's really word to look. And so a lot of 314 00:16:30,200 --> 00:16:32,800 Speaker 3: what we've done is look at state houses, state senates 315 00:16:33,040 --> 00:16:36,080 Speaker 3: and also state Supreme Court. So to just start with 316 00:16:36,360 --> 00:16:39,080 Speaker 3: state senates and state houses. You know what I did 317 00:16:39,080 --> 00:16:41,040 Speaker 3: in the in the past few weeks is quite is 318 00:16:41,160 --> 00:16:45,680 Speaker 3: just go state by state. Look in every state, how 319 00:16:45,760 --> 00:16:50,240 Speaker 3: did the composition of state chambers change, And that's really 320 00:16:50,400 --> 00:16:53,000 Speaker 3: going to determine what yours have opened and closed in 321 00:16:53,040 --> 00:16:53,520 Speaker 3: the next year. 322 00:16:53,840 --> 00:16:56,000 Speaker 1: I want to pause for a minute and just for 323 00:16:56,080 --> 00:17:00,760 Speaker 1: our listeners explain. You know, we're all feeling pretty moralized 324 00:17:01,560 --> 00:17:07,880 Speaker 1: and these state legislatures are a way to take power back. 325 00:17:08,040 --> 00:17:13,240 Speaker 1: They're not expensive. They are happening, you know, on off cycles. 326 00:17:13,720 --> 00:17:17,080 Speaker 1: So and these off yr elections are ones where low 327 00:17:17,160 --> 00:17:21,240 Speaker 1: turnout rules and a little money can make a big difference. 328 00:17:21,440 --> 00:17:25,120 Speaker 1: So anyways, start talking to me about these state legislators. 329 00:17:25,320 --> 00:17:25,560 Speaker 6: Yeah. 330 00:17:25,720 --> 00:17:25,800 Speaker 1: No. 331 00:17:26,000 --> 00:17:29,200 Speaker 3: So the first sort of big number that I thought 332 00:17:29,240 --> 00:17:32,439 Speaker 3: was interesting is I quite literally look at the swing 333 00:17:32,640 --> 00:17:36,200 Speaker 3: of state seats if you take into account all the 334 00:17:36,920 --> 00:17:39,000 Speaker 3: races across the country, which obviously is a bit of 335 00:17:39,000 --> 00:17:41,680 Speaker 3: a silly exercise because there isn't ever an institution where 336 00:17:41,680 --> 00:17:45,399 Speaker 3: every state lawmaker from Alaska to Florida gets in the room, right, 337 00:17:45,600 --> 00:17:49,880 Speaker 3: But there were rough six thousand elections happening for state 338 00:17:49,960 --> 00:17:52,880 Speaker 3: lawmaker around the country, and out of this six thousand, 339 00:17:53,400 --> 00:17:57,560 Speaker 3: the GOP gained fifty seven seats. That's a small number, 340 00:17:57,640 --> 00:18:00,320 Speaker 3: I mean, obviously, you know, it suggests that the UOPE 341 00:18:00,440 --> 00:18:02,840 Speaker 3: had the better nights, and if you look at the detail, 342 00:18:02,880 --> 00:18:04,719 Speaker 3: which we could do in a second, they had some 343 00:18:04,840 --> 00:18:07,520 Speaker 3: big wins, but if you look at the overall composition, 344 00:18:07,920 --> 00:18:11,000 Speaker 3: it was quite small given the extent of the shift. 345 00:18:11,040 --> 00:18:14,240 Speaker 3: Obviously in the presidential election. So this is another instance 346 00:18:14,440 --> 00:18:18,520 Speaker 3: like in the US House, where the coattails of Trump 347 00:18:18,640 --> 00:18:22,119 Speaker 3: were were much smaller than one might expect, and Democrats 348 00:18:22,160 --> 00:18:25,840 Speaker 3: clearly got a lot of bright spots as well. Republicans 349 00:18:25,960 --> 00:18:28,720 Speaker 3: gained seats in twenty states and Democrats gained seats in 350 00:18:28,760 --> 00:18:31,840 Speaker 3: eleven states. Again, the GOP had the better night, but 351 00:18:31,920 --> 00:18:34,680 Speaker 3: we do see in a bunch of states where Democrats 352 00:18:34,680 --> 00:18:37,119 Speaker 3: are the ones who gained seats and are in a 353 00:18:37,160 --> 00:18:38,680 Speaker 3: better spot going into twenty twenty five. 354 00:18:39,040 --> 00:18:41,440 Speaker 5: So let's talk about those states. 355 00:18:41,720 --> 00:18:44,720 Speaker 3: Yeah, yeah, So let's talk of the two most interesting 356 00:18:45,160 --> 00:18:50,880 Speaker 3: spots because in Wisconsin and Montana. Wisconsin and Montana had 357 00:18:50,920 --> 00:18:53,920 Speaker 3: new maps this year for the first time, and they 358 00:18:53,920 --> 00:18:56,760 Speaker 3: were more equitable maps than the ones that they were 359 00:18:56,800 --> 00:18:59,960 Speaker 3: using in twenty twenty twenty. In Wisconsin is probably the 360 00:19:00,119 --> 00:19:01,800 Speaker 3: one that a lot of people who are who might 361 00:19:01,880 --> 00:19:04,159 Speaker 3: listen to this have heard about, because there was a 362 00:19:04,320 --> 00:19:08,960 Speaker 3: huge court fight in Wisconsin around the gerrymanders that Republican 363 00:19:09,040 --> 00:19:11,920 Speaker 3: tasked in the early twenty tens and early twenty twenties 364 00:19:11,960 --> 00:19:15,120 Speaker 3: to re locked in their majorities in the state House 365 00:19:15,160 --> 00:19:17,240 Speaker 3: and the state Senate. And it took I mean, it 366 00:19:17,320 --> 00:19:21,359 Speaker 3: was a very expensive election for the state Supreme Court 367 00:19:21,400 --> 00:19:23,639 Speaker 3: in twenty twenty three got a lot of attention in 368 00:19:23,680 --> 00:19:25,480 Speaker 3: April twenty three, which is just a year and a 369 00:19:25,480 --> 00:19:29,399 Speaker 3: half to go, and the candidates supported by Democrats there 370 00:19:29,760 --> 00:19:32,199 Speaker 3: won and flipped the Court to the left for the 371 00:19:32,240 --> 00:19:35,040 Speaker 3: first time in a long time. And then the Court 372 00:19:35,359 --> 00:19:39,040 Speaker 3: shruck down the GOP gerrymanders that was a year ago, 373 00:19:39,119 --> 00:19:42,080 Speaker 3: and the new map was created and lo and behold 374 00:19:42,160 --> 00:19:44,800 Speaker 3: that that the map created a lot of change, as 375 00:19:44,840 --> 00:19:47,600 Speaker 3: you would expect, because we went from a very aggressive 376 00:19:47,680 --> 00:19:51,600 Speaker 3: up jeromander to a fair map. And over in the state, 377 00:19:52,320 --> 00:19:56,480 Speaker 3: Democrats gained fourteen seats in Wisconsin, so that's the biggest 378 00:19:56,480 --> 00:19:59,679 Speaker 3: gain they made anywhere in the country. Republicans kept their 379 00:20:00,000 --> 00:20:04,520 Speaker 3: majority in both chambers, but they're small majorities compared to 380 00:20:04,680 --> 00:20:08,520 Speaker 3: the quasi supermajorities they had, and it sets Democrats up 381 00:20:08,600 --> 00:20:11,280 Speaker 3: very well for twenty twenty six for trying to flip 382 00:20:11,320 --> 00:20:14,080 Speaker 3: control of Wisconsin for the first time in a long time. 383 00:20:14,359 --> 00:20:17,639 Speaker 3: And there's a somewhat similar story in Montana, which is 384 00:20:17,720 --> 00:20:20,600 Speaker 3: quite interesting because the defeat of John Tester in the 385 00:20:20,680 --> 00:20:23,199 Speaker 3: race for the US Senate was a huge story. Obviously, 386 00:20:23,200 --> 00:20:27,920 Speaker 3: on election night at the state level, Democrats gained twelve 387 00:20:28,000 --> 00:20:33,359 Speaker 3: seats across both chambers and up's supermajorities, which is actually 388 00:20:33,480 --> 00:20:36,919 Speaker 3: quite important because the GOP was hoping to use its 389 00:20:36,960 --> 00:20:41,080 Speaker 3: supermajorities to put constitutional amendments on the ballots on party 390 00:20:41,119 --> 00:20:41,679 Speaker 3: line votes. 391 00:20:41,880 --> 00:20:47,200 Speaker 1: Basically, they somehow flipped the Senate seed but lost the 392 00:20:47,240 --> 00:20:48,280 Speaker 1: majority in the House. 393 00:20:48,720 --> 00:20:52,200 Speaker 6: No, they did not lose the majority. Germany ten seats 394 00:20:52,240 --> 00:20:56,320 Speaker 6: in the state House, and that seems like a lot 395 00:20:56,880 --> 00:20:57,760 Speaker 6: that it's a big change. 396 00:20:57,800 --> 00:21:00,840 Speaker 3: Again, it's it has to do with the districting fighter 397 00:21:00,880 --> 00:21:03,480 Speaker 3: that was describing earlier, but the one that didn't come randomly. 398 00:21:03,520 --> 00:21:06,399 Speaker 3: There was a whole fight and another point of contact Smalledgy. 399 00:21:06,480 --> 00:21:08,880 Speaker 3: To just show you the depth of how everything is related. 400 00:21:09,160 --> 00:21:11,920 Speaker 3: There were elections for the state court in the state 401 00:21:11,920 --> 00:21:15,359 Speaker 3: of Montana, and Montana might be a very unusual state 402 00:21:15,760 --> 00:21:17,479 Speaker 3: in for a red state, in that it has a 403 00:21:17,520 --> 00:21:20,359 Speaker 3: state court, the state High Court the Supreme Court that 404 00:21:20,520 --> 00:21:24,399 Speaker 3: leans to the left and has repeatedly struck down GOP 405 00:21:24,640 --> 00:21:27,880 Speaker 3: bills in the last few years, including a restriction on abortion, 406 00:21:28,400 --> 00:21:32,560 Speaker 3: including restrictions on voting access, and conservatives were hoping to 407 00:21:32,640 --> 00:21:35,400 Speaker 3: really change that left lean of the. 408 00:21:35,359 --> 00:21:36,760 Speaker 6: Court and that didn't succeed. 409 00:21:36,880 --> 00:21:40,440 Speaker 3: Actually, there was a key race there that the Democratic 410 00:21:40,440 --> 00:21:43,280 Speaker 3: affiliated candidate won, So there is still going to be 411 00:21:43,359 --> 00:21:46,320 Speaker 3: this bucket of resistance in the state government, which is 412 00:21:46,440 --> 00:21:49,679 Speaker 3: going to be the state Court, and therefore that's why 413 00:21:49,800 --> 00:21:53,080 Speaker 3: the GOPS lost to the super majority there is important 414 00:21:53,119 --> 00:21:54,720 Speaker 3: because they're not going to be able to go around 415 00:21:54,800 --> 00:21:57,600 Speaker 3: the court and just put stuff on the ballot at well. 416 00:21:57,720 --> 00:22:01,200 Speaker 3: So that's going to be very interesting situation in coming years. 417 00:22:01,359 --> 00:22:04,800 Speaker 1: Yeah, that is very interesting, all right, So talk to 418 00:22:04,840 --> 00:22:09,240 Speaker 1: me about other state launche stuff. So the bright spots 419 00:22:09,320 --> 00:22:10,720 Speaker 1: Montana and what else. 420 00:22:11,000 --> 00:22:13,440 Speaker 3: Wisconsin one of the two biggest ones. So there are 421 00:22:13,600 --> 00:22:16,800 Speaker 3: others where Democrats gained seats, but the GOP also had 422 00:22:16,960 --> 00:22:19,280 Speaker 3: just to be clear of very bright spots. The two 423 00:22:19,960 --> 00:22:24,639 Speaker 3: main stories to just highlight are that the GOP erased 424 00:22:24,760 --> 00:22:27,919 Speaker 3: the majorities that Democrats had for the past couple of 425 00:22:27,960 --> 00:22:31,879 Speaker 3: years in the House in Michigan and the Minnesota House. 426 00:22:32,119 --> 00:22:34,879 Speaker 3: And in both cases, Democrats had just won control the 427 00:22:34,920 --> 00:22:37,920 Speaker 3: full government in twenty twenty two, which you might remember 428 00:22:37,920 --> 00:22:40,160 Speaker 3: as a huge story because no one expected Democrats to 429 00:22:40,160 --> 00:22:44,040 Speaker 3: to gain power during the mid term, and the GOP 430 00:22:44,600 --> 00:22:47,520 Speaker 3: gained just enough seats in both states to erase Democratic 431 00:22:47,600 --> 00:22:50,000 Speaker 3: majorities in the House. That doesn't mean that the Republicans 432 00:22:50,040 --> 00:22:52,920 Speaker 3: have control the state government because Democrats have in both 433 00:22:52,920 --> 00:22:57,160 Speaker 3: states the governorship and the state Senate. But it does stop, obviously, 434 00:22:57,200 --> 00:23:00,800 Speaker 3: the ability of Democrats to pass laws at will with 435 00:23:00,880 --> 00:23:03,679 Speaker 3: their own votes. In Michigan and Minnesota, those are states 436 00:23:03,680 --> 00:23:05,960 Speaker 3: that they used to do. They did a lot of 437 00:23:05,960 --> 00:23:07,520 Speaker 3: stuff in the last couple of years, a lot of 438 00:23:07,600 --> 00:23:11,359 Speaker 3: which made headlines. Just as an example, you know the 439 00:23:11,400 --> 00:23:15,280 Speaker 3: free lunches and schools that Governor Waltz signed. Governor Walts 440 00:23:15,400 --> 00:23:18,320 Speaker 3: also signed a voting rights Act at the state level. 441 00:23:18,680 --> 00:23:21,200 Speaker 3: So all of those sort of policies were done because 442 00:23:21,240 --> 00:23:24,000 Speaker 3: of the trafficta Democrats had. So those are the main 443 00:23:24,040 --> 00:23:26,639 Speaker 3: spot and then the other one I will name is 444 00:23:26,680 --> 00:23:30,880 Speaker 3: that in New England Republicans did. They gained in three states, 445 00:23:31,080 --> 00:23:34,200 Speaker 3: especially the state of Vermont, the state of Vermont, where 446 00:23:34,400 --> 00:23:37,720 Speaker 3: Republicans gained twenty five seats in the state House and 447 00:23:37,760 --> 00:23:41,240 Speaker 3: state Senate in Vermont and broke the supermajorities Democrats had. 448 00:23:41,359 --> 00:23:43,840 Speaker 3: The governor there is a Republican so that's going to 449 00:23:43,920 --> 00:23:46,240 Speaker 3: really tie the hands of Democrats to be able to 450 00:23:46,280 --> 00:23:47,119 Speaker 3: override the veto's. 451 00:23:47,160 --> 00:23:48,280 Speaker 6: The republican governor there. 452 00:23:48,600 --> 00:23:52,720 Speaker 1: Let's talk about what the calendar looks like, now, what's 453 00:23:52,760 --> 00:23:53,280 Speaker 1: coming up? 454 00:23:53,480 --> 00:23:53,800 Speaker 6: First? 455 00:23:53,960 --> 00:23:56,760 Speaker 1: I have this theory that I want you to either 456 00:23:56,880 --> 00:23:58,360 Speaker 1: tell me is wrong or right. 457 00:23:58,560 --> 00:24:01,480 Speaker 5: Okay, So I have this theory that the way. 458 00:24:01,320 --> 00:24:06,280 Speaker 1: This election went wasn't actually Republican Democrat brand, that it 459 00:24:06,400 --> 00:24:10,960 Speaker 1: was Trump then Democrats than Republicans. And so one of 460 00:24:10,960 --> 00:24:13,720 Speaker 1: the phenomenons I saw when I looked at some of 461 00:24:13,720 --> 00:24:16,439 Speaker 1: these numbers from swing states was that you had states 462 00:24:16,440 --> 00:24:19,719 Speaker 1: where Trump got over fifty percent of the vote, then 463 00:24:20,119 --> 00:24:23,400 Speaker 1: they must have left the ticket blank. And I'm wondering 464 00:24:23,440 --> 00:24:26,439 Speaker 1: if you can talk about that phenomenon as it like, 465 00:24:26,520 --> 00:24:29,240 Speaker 1: did you see when you look through the data, did 466 00:24:29,280 --> 00:24:31,920 Speaker 1: you see voters who were just Trump and no one 467 00:24:31,960 --> 00:24:32,760 Speaker 1: else voters? 468 00:24:33,280 --> 00:24:37,800 Speaker 3: That's a great question. I don't have numbers to share 469 00:24:37,880 --> 00:24:41,360 Speaker 3: on the undervote that you're asking about, but I think 470 00:24:41,359 --> 00:24:44,120 Speaker 3: there's evidence to suggest so, I mean, I think your 471 00:24:44,200 --> 00:24:46,560 Speaker 3: question gets to the very first thing I said, right, 472 00:24:46,600 --> 00:24:49,240 Speaker 3: which is that here I was just talking about Michigan 473 00:24:49,280 --> 00:24:52,159 Speaker 3: and Wisconsin, the states that saw a big swing one 474 00:24:52,200 --> 00:24:54,760 Speaker 3: way or the other, but in most of the country. 475 00:24:55,119 --> 00:24:57,920 Speaker 3: It's what the most startling thing as I literally went 476 00:24:58,000 --> 00:24:59,800 Speaker 3: state by state and not just state by state by 477 00:25:00,400 --> 00:25:03,399 Speaker 3: chamber by chamber. The most startling thing to me, that 478 00:25:03,560 --> 00:25:06,800 Speaker 3: the clear story that jumped out is that in so 479 00:25:06,960 --> 00:25:11,080 Speaker 3: many chambers the status quo was almost entirely intact, that 480 00:25:11,119 --> 00:25:15,040 Speaker 3: there was either no change at all or the most 481 00:25:15,240 --> 00:25:18,560 Speaker 3: minimal change. And I mean, I think the most striking 482 00:25:18,640 --> 00:25:22,840 Speaker 3: example is Pennsylvania, which maybe gets to what you're saying. 483 00:25:22,880 --> 00:25:27,359 Speaker 3: So let's just recap what happened in Pennsylvania. Obviously, Trump 484 00:25:27,400 --> 00:25:30,679 Speaker 3: won the state, flipping it on the presidential level. It 485 00:25:30,720 --> 00:25:35,399 Speaker 3: also flipped at the congressional level because Republicans ousted the 486 00:25:35,440 --> 00:25:38,359 Speaker 3: Democratic senator there, and they also gained seats in the 487 00:25:38,440 --> 00:25:40,879 Speaker 3: US House. Now let's go down one level, and this 488 00:25:41,000 --> 00:25:42,760 Speaker 3: is honestly one of the most I don't have a 489 00:25:42,800 --> 00:25:46,240 Speaker 3: particularly great explanation, but it's so startling. Not a single 490 00:25:46,520 --> 00:25:49,320 Speaker 3: seat changed hands in the state House. Out of two 491 00:25:49,359 --> 00:25:53,359 Speaker 3: hundred and three seats. Pennsylvania Democrats had a majority harder 492 00:25:53,359 --> 00:25:55,840 Speaker 3: than two to one hundred and one going into the election, 493 00:25:56,160 --> 00:25:57,720 Speaker 3: and they're going to have a majority harder than two 494 00:25:57,720 --> 00:26:02,240 Speaker 3: ton and one exiting the election. That is quite striking 495 00:26:02,520 --> 00:26:06,399 Speaker 3: given the given the shifts at the federal level that 496 00:26:06,520 --> 00:26:10,400 Speaker 3: did not translate when people were voting, and for their 497 00:26:10,440 --> 00:26:13,040 Speaker 3: state House, and we see this over and over again. 498 00:26:13,600 --> 00:26:15,600 Speaker 3: The number I came up with was that the twenty 499 00:26:15,640 --> 00:26:19,560 Speaker 3: eight chambers saw zero change after holding elections this year, 500 00:26:19,720 --> 00:26:22,480 Speaker 3: and a lot of others only saw a single seat shift. 501 00:26:22,840 --> 00:26:26,399 Speaker 3: That is a lot of stability underlying what you know. 502 00:26:26,480 --> 00:26:28,960 Speaker 3: Has often been covered as like a great night for 503 00:26:29,000 --> 00:26:32,320 Speaker 3: the GOP, a landslide for Trump, but etcetera, which the 504 00:26:32,400 --> 00:26:35,119 Speaker 3: numbers don't really support. Obviously the GOP had the better night, 505 00:26:35,160 --> 00:26:38,600 Speaker 3: there's no question. What I will say is Republicans have 506 00:26:38,680 --> 00:26:40,359 Speaker 3: a lot of reasons to be happy right out of 507 00:26:40,400 --> 00:26:42,120 Speaker 3: November fifth. So they're not going to ask each other 508 00:26:42,160 --> 00:26:44,720 Speaker 3: a lot of questions, which is understandable because. 509 00:26:44,520 --> 00:26:45,440 Speaker 6: They overall won. 510 00:26:45,640 --> 00:26:48,919 Speaker 3: But if you look at what they should ask themselves 511 00:26:49,359 --> 00:26:51,280 Speaker 3: how they weren't able to flip the state House in 512 00:26:51,320 --> 00:26:54,880 Speaker 3: Pennsylvania despite the state shifting to Trump. They should ask themselves, 513 00:26:55,200 --> 00:26:58,639 Speaker 3: right how Perry Lake lost by so much worse than 514 00:26:58,680 --> 00:27:01,920 Speaker 3: Trump in there on a Senate race. For a third 515 00:27:01,960 --> 00:27:04,879 Speaker 3: consecutive cycles, the GOP lost the Senate seat in Arizona, 516 00:27:05,280 --> 00:27:07,600 Speaker 3: and this time was an open race, with Trump winning 517 00:27:07,640 --> 00:27:09,600 Speaker 3: the state by six points, and yet they lost the 518 00:27:09,640 --> 00:27:11,879 Speaker 3: Senate race. There's a lot of questions for the GOP 519 00:27:12,040 --> 00:27:14,240 Speaker 3: to ask itself, and it's not going to ask itself 520 00:27:14,240 --> 00:27:15,080 Speaker 3: that because. 521 00:27:14,880 --> 00:27:16,520 Speaker 6: Take one the big one. 522 00:27:16,800 --> 00:27:21,159 Speaker 3: But there's a lot of different storylines if you dig right. 523 00:27:21,480 --> 00:27:22,400 Speaker 5: Yes, exactly. 524 00:27:22,440 --> 00:27:27,239 Speaker 1: And it is striking to me with Pennsylvania because you 525 00:27:27,320 --> 00:27:30,199 Speaker 1: must have had some people vote for Trump and then 526 00:27:30,200 --> 00:27:31,720 Speaker 1: Democrats on the bottom of the ticket. 527 00:27:31,800 --> 00:27:34,920 Speaker 3: Right, well, yes, no, of course, the question of whether 528 00:27:35,000 --> 00:27:38,640 Speaker 3: it was people splitting tickets or under voting is not 529 00:27:38,680 --> 00:27:41,120 Speaker 3: something I can speak to. But there definitely was ticket 530 00:27:41,160 --> 00:27:44,240 Speaker 3: splitting there, and there was a lot of obviously ticket 531 00:27:44,280 --> 00:27:46,919 Speaker 3: splitting in other states. I mean, just to name one 532 00:27:46,960 --> 00:27:51,800 Speaker 3: other state not overwhelm listeners, but North Carolina is a 533 00:27:51,840 --> 00:27:57,000 Speaker 3: great example where Democrats won the governor's race in the 534 00:27:57,040 --> 00:28:00,359 Speaker 3: midst of a giant scandal that engulfed the Republican But 535 00:28:00,400 --> 00:28:03,840 Speaker 3: they also want other state races. They won the AG 536 00:28:04,119 --> 00:28:08,200 Speaker 3: race by a surprising margin. They want other state level races. 537 00:28:08,240 --> 00:28:10,679 Speaker 3: They won by a very small margin a race for 538 00:28:10,720 --> 00:28:14,960 Speaker 3: the state Court, and they broke the GOP super majority 539 00:28:15,040 --> 00:28:17,840 Speaker 3: in the state House, which is going to prevent the 540 00:28:17,880 --> 00:28:21,600 Speaker 3: Republicans in twenty twenty five of overriding the vetos of 541 00:28:21,640 --> 00:28:24,000 Speaker 3: the incoming governor, and as you may have seen, the 542 00:28:24,000 --> 00:28:27,480 Speaker 3: Republican is not taking that very well. They're quite there 543 00:28:27,800 --> 00:28:31,240 Speaker 3: this week trying to ram through a bill that would 544 00:28:31,480 --> 00:28:34,840 Speaker 3: effectively gut some of the essential roles of the current 545 00:28:34,840 --> 00:28:38,680 Speaker 3: governor and transferred to Republican authority because they only have 546 00:28:39,040 --> 00:28:41,720 Speaker 3: a few weeks left of being able to use their 547 00:28:41,760 --> 00:28:43,720 Speaker 3: supermajorities and they're trying to make the most of it. 548 00:28:43,920 --> 00:28:47,800 Speaker 1: Yeah, exactly, very strange and interesting. So tell us where 549 00:28:47,800 --> 00:28:49,880 Speaker 1: we should keep our eyes peeled now, talk to us 550 00:28:49,880 --> 00:28:50,600 Speaker 1: about the future. 551 00:28:50,880 --> 00:28:53,160 Speaker 6: Yeah, there's always a lot. It's a lot happening. 552 00:28:53,560 --> 00:28:56,720 Speaker 3: The very first thing to know, if people want to 553 00:28:56,720 --> 00:29:00,160 Speaker 3: know about sort of elections going forward, is that they're 554 00:28:59,920 --> 00:29:03,480 Speaker 3: a special elections happening in January and early twenty twenty 555 00:29:03,520 --> 00:29:08,600 Speaker 3: five in Michigan and Virginia for important seats in the state. 556 00:29:08,560 --> 00:29:09,560 Speaker 5: And the governorship. 557 00:29:09,760 --> 00:29:12,360 Speaker 3: Governorship is going to be in in November, but there 558 00:29:12,360 --> 00:29:15,160 Speaker 3: are races in January, like literally around the corner that 559 00:29:15,280 --> 00:29:18,360 Speaker 3: will decide whether Democrats keep control of the state tenets 560 00:29:18,520 --> 00:29:20,840 Speaker 3: in Virginia and Michigan, and those those are very important. 561 00:29:21,000 --> 00:29:23,840 Speaker 3: And then yes, obviously the big one in twenty twenty 562 00:29:23,840 --> 00:29:27,600 Speaker 3: five is the governor's race in the state of Virginia. 563 00:29:27,680 --> 00:29:29,560 Speaker 3: That is going to be an open race because the 564 00:29:29,600 --> 00:29:32,760 Speaker 3: governor is not allowed to run for reelection. Democrats will 565 00:29:32,800 --> 00:29:36,520 Speaker 3: want to take that governorship back, which would give potentially 566 00:29:36,560 --> 00:29:39,480 Speaker 3: give them control they state government there that they lost 567 00:29:39,880 --> 00:29:42,680 Speaker 3: a few years ago. That's really a big one to 568 00:29:42,800 --> 00:29:45,360 Speaker 3: watch in Virginia. And the other the second big sort 569 00:29:45,400 --> 00:29:48,080 Speaker 3: of state wide race in twenty twenty five is the 570 00:29:48,120 --> 00:29:51,880 Speaker 3: Supreme Court race in Wisconsin. So that's actually happening in April, 571 00:29:52,280 --> 00:29:54,640 Speaker 3: and I already talked a bunch about why that court 572 00:29:54,680 --> 00:29:57,520 Speaker 3: has been so important in the past. A liberal justice 573 00:29:57,680 --> 00:30:01,520 Speaker 3: is not running for reelection in April, and conservutives have 574 00:30:01,560 --> 00:30:04,240 Speaker 3: a shot at flipping the court back to the right 575 00:30:04,360 --> 00:30:08,360 Speaker 3: in Wisconsin. Expect that to be extremely expensive race. It's 576 00:30:08,360 --> 00:30:10,880 Speaker 3: sort of going to be on its own on the calendar. 577 00:30:10,960 --> 00:30:14,360 Speaker 3: There's nothing around it happening. The stakes are very high 578 00:30:14,800 --> 00:30:19,960 Speaker 3: on abortion rights in Wisconsin, on redistricting in Wisconsin. That's 579 00:30:20,000 --> 00:30:24,160 Speaker 3: really where the next big campaign is likely to be. 580 00:30:24,560 --> 00:30:26,800 Speaker 3: And also, you know, at this point, the US House 581 00:30:26,880 --> 00:30:31,120 Speaker 3: is so tight, we're all that any special election, any retirement, 582 00:30:31,400 --> 00:30:35,640 Speaker 3: any vacancy would just be a huge deal, right because 583 00:30:36,000 --> 00:30:39,760 Speaker 3: if what once it flips, that actually has huge consequences. 584 00:30:39,800 --> 00:30:42,160 Speaker 1: What it has right now, it's good or at least 585 00:30:42,160 --> 00:30:44,760 Speaker 1: it's going to be two seventeen to two fifteen. Right. 586 00:30:45,160 --> 00:30:48,360 Speaker 3: So the results of November fifth were two twenty two, 587 00:30:48,360 --> 00:30:52,240 Speaker 3: two fifteen, and Trump named three people from the Republican 588 00:30:52,240 --> 00:30:54,320 Speaker 3: caucus and then Gates was one of them, and then 589 00:30:54,360 --> 00:30:54,960 Speaker 3: he resigned. 590 00:30:54,960 --> 00:30:56,800 Speaker 6: But is not going to be in the House. It's 591 00:30:56,840 --> 00:30:57,840 Speaker 6: not going to be aged anyway. 592 00:30:58,160 --> 00:31:00,000 Speaker 3: Yes, So that gets us as two seventeen to fifty 593 00:31:00,280 --> 00:31:02,040 Speaker 3: for now until the special elections. 594 00:31:02,360 --> 00:31:05,840 Speaker 1: Just as a reminder to listeners, you can't tie in 595 00:31:05,880 --> 00:31:07,000 Speaker 1: the House of Representatives. 596 00:31:07,040 --> 00:31:07,960 Speaker 5: You tie, you lose. 597 00:31:08,160 --> 00:31:12,280 Speaker 1: So it means that effectively Mike Johnson has a one 598 00:31:12,280 --> 00:31:13,080 Speaker 1: seat majority. 599 00:31:13,280 --> 00:31:15,800 Speaker 3: And at that point it's not just who has won 600 00:31:16,000 --> 00:31:18,800 Speaker 3: or who is in Congress, it's who is sick that 601 00:31:18,880 --> 00:31:22,800 Speaker 3: they who has a wedding to attend in Michigan, who 602 00:31:22,880 --> 00:31:25,280 Speaker 3: has you know, we we already saw that in the 603 00:31:25,320 --> 00:31:29,320 Speaker 3: last few years, where an absence could have huge consequences 604 00:31:29,600 --> 00:31:32,080 Speaker 3: in what's happening. And that's going to be a lot 605 00:31:32,080 --> 00:31:33,640 Speaker 3: more intense in coming months. 606 00:31:33,760 --> 00:31:36,840 Speaker 1: And actually, if you want to get furious, I was 607 00:31:36,880 --> 00:31:39,959 Speaker 1: talking to a member who was saying to me, you know, 608 00:31:40,440 --> 00:31:42,880 Speaker 1: Democrats have a couple of people who haven't been to 609 00:31:42,960 --> 00:31:46,040 Speaker 1: Congress in a while, of coorse, who are actually like 610 00:31:46,200 --> 00:31:48,960 Speaker 1: legitimately sick and who can't get there. 611 00:31:48,920 --> 00:31:51,080 Speaker 5: But who probably should not be in office anymore. 612 00:31:51,160 --> 00:31:54,200 Speaker 1: Now that said, Republicans also have that, But that is 613 00:31:54,280 --> 00:31:55,160 Speaker 1: quite infuriating. 614 00:31:55,920 --> 00:31:58,640 Speaker 3: Yes, I wish I had pulled the median age of 615 00:31:59,360 --> 00:32:00,000 Speaker 3: people in Congress. 616 00:32:00,120 --> 00:32:02,400 Speaker 6: By what you're saying doesn't surprise me. 617 00:32:02,480 --> 00:32:05,560 Speaker 1: Yeah, you know, look there's a Nancy Pelosi eighty tray 618 00:32:06,000 --> 00:32:08,200 Speaker 1: and then there's you know, some of those people are 619 00:32:08,240 --> 00:32:10,840 Speaker 1: not so old, but they are sick and they need 620 00:32:10,880 --> 00:32:12,880 Speaker 1: to leave if they're if they're too sick to get 621 00:32:12,880 --> 00:32:13,640 Speaker 1: to work, you know. 622 00:32:13,920 --> 00:32:17,520 Speaker 3: To also maybe to give a parallel point as to 623 00:32:17,600 --> 00:32:20,160 Speaker 3: how tight the margin is, because we were taught talking 624 00:32:20,200 --> 00:32:23,560 Speaker 3: earlier about re district thing, right, and we redistricting in 625 00:32:23,560 --> 00:32:26,240 Speaker 3: the state of Wisconsin in particular. So let's just talk 626 00:32:26,240 --> 00:32:30,400 Speaker 3: about redistricting in North Carolina for a moment, because the 627 00:32:30,480 --> 00:32:33,560 Speaker 3: exact inverse of what happened in Wisconsin happened in North 628 00:32:33,560 --> 00:32:37,240 Speaker 3: Carolina in twenty twenty two. Republicans flipped that state Supreme 629 00:32:37,280 --> 00:32:41,600 Speaker 3: Court and they struck down a prior ruling that had 630 00:32:43,000 --> 00:32:46,200 Speaker 3: stopped the GOP from passing their own maps. And so 631 00:32:46,320 --> 00:32:50,400 Speaker 3: what happened is that the GOP in North Carolina passed 632 00:32:50,480 --> 00:32:54,720 Speaker 3: new maps for twenty twenty four and that flipped three seats, 633 00:32:54,920 --> 00:32:57,560 Speaker 3: three seats and the margin in the House out of 634 00:32:57,600 --> 00:33:00,800 Speaker 3: the number fifth. If three seats hadn't flipped, the Democrats 635 00:33:00,800 --> 00:33:04,320 Speaker 3: would have been the majority party. So it's just so 636 00:33:04,520 --> 00:33:09,120 Speaker 3: interesting to trace back the current Republican majority not just 637 00:33:09,240 --> 00:33:11,960 Speaker 3: to the new map in North Carolina, but also as 638 00:33:11,960 --> 00:33:14,480 Speaker 3: a result to the state court elections that happen in 639 00:33:14,480 --> 00:33:15,280 Speaker 3: twenty twenty two. 640 00:33:15,560 --> 00:33:16,640 Speaker 6: Now, we don't think. 641 00:33:16,440 --> 00:33:21,760 Speaker 3: About the state court races as that relevant maybe to 642 00:33:21,840 --> 00:33:25,120 Speaker 3: federal politics or to the national politics, but here's a 643 00:33:25,200 --> 00:33:30,000 Speaker 3: case where literally the state level races for this for 644 00:33:30,280 --> 00:33:34,680 Speaker 3: state judges are directly responsible for a new map that 645 00:33:35,160 --> 00:33:37,480 Speaker 3: is directly responsible for who has the majority right now 646 00:33:37,560 --> 00:33:40,360 Speaker 3: in US House. So you know, that really explains maybe 647 00:33:40,360 --> 00:33:43,560 Speaker 3: to people why the coming election in Wisconsin is going 648 00:33:43,600 --> 00:33:46,000 Speaker 3: to be so expensive and why in twenty twenty six, 649 00:33:46,040 --> 00:33:48,240 Speaker 3: you know, you should repay attention to what's happening. 650 00:33:47,880 --> 00:33:50,040 Speaker 6: At the state level in these elections. 651 00:33:50,080 --> 00:33:51,000 Speaker 1: So interesting. 652 00:33:51,400 --> 00:33:53,400 Speaker 5: Thank you for coming on Daniel, I hope. 653 00:33:53,200 --> 00:33:55,320 Speaker 6: You'll come back, of course, thanks for having me. 654 00:33:55,840 --> 00:33:59,880 Speaker 1: That's it for this episode of Fast Politics. Tune in 655 00:34:00,520 --> 00:34:06,000 Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best 656 00:34:06,080 --> 00:34:10,359 Speaker 1: minds and politics make sense of all this chaos. If 657 00:34:10,400 --> 00:34:13,440 Speaker 1: you enjoy this podcast, please send it to a friend 658 00:34:13,880 --> 00:34:15,520 Speaker 1: and keep the conversation going. 659 00:34:15,960 --> 00:34:17,080 Speaker 5: Thanks for listening.