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 --> 00:00:07,160 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:12,280 Speaker 1: today's best minds, and President Trump has revoked Biden's children's 4 00:00:12,360 --> 00:00:15,600 Speaker 1: Secret Service production. We have a great show for you today, 5 00:00:15,720 --> 00:00:20,040 Speaker 1: the Atlantics. Ron Brownstein stops by to talk about how 6 00:00:20,079 --> 00:00:25,880 Speaker 1: Trump's unpopular policies could lead to a poor midterms Republicans. 7 00:00:26,280 --> 00:00:31,640 Speaker 1: Then we'll talk to author and academic Jason Stanley about 8 00:00:31,840 --> 00:00:36,760 Speaker 1: what he sees under the veil of Trump's authoritarian moves. Plus, 9 00:00:36,800 --> 00:00:39,559 Speaker 1: we have a bonus from our YouTube channel where I 10 00:00:39,800 --> 00:00:44,480 Speaker 1: Fight Fight Fight with Democratic strategist James Carvell on how 11 00:00:44,640 --> 00:00:46,880 Speaker 1: Democrats fight and win. 12 00:00:47,240 --> 00:00:50,879 Speaker 2: But first the news, Somalie, there's some friends of the 13 00:00:50,920 --> 00:00:54,279 Speaker 2: show that have taken over the FBI. One's name is 14 00:00:54,400 --> 00:00:57,560 Speaker 2: Bingo von Bongo Dan Maongino, and the other's name is 15 00:00:57,600 --> 00:01:00,680 Speaker 2: Cash Patel. It sounds like things are going over in 16 00:01:00,680 --> 00:01:02,240 Speaker 2: those parts. According to the New York. 17 00:01:02,080 --> 00:01:06,800 Speaker 1: Times, Yeah, you know worth reading this piece in the 18 00:01:06,800 --> 00:01:11,160 Speaker 1: New York Times. With the arrival of Bongino, there was 19 00:01:11,200 --> 00:01:16,520 Speaker 1: an article yesterday or this morning about how Cash Battel 20 00:01:16,800 --> 00:01:19,280 Speaker 1: has been spending a lot of time at the FBI 21 00:01:19,959 --> 00:01:23,000 Speaker 1: going to fights in Las Vegas. He plans to split 22 00:01:23,040 --> 00:01:28,120 Speaker 1: half his time between Las Vegas and Virginia. He is 23 00:01:28,280 --> 00:01:31,920 Speaker 1: definitely spending a lot of time just sort of enjoying 24 00:01:32,120 --> 00:01:37,760 Speaker 1: government work as an opportunity to, you know, not have 25 00:01:37,840 --> 00:01:41,440 Speaker 1: to hustle so hard. Again, what is interesting about that 26 00:01:41,520 --> 00:01:44,399 Speaker 1: piece in the Times is that it talks about this 27 00:01:44,760 --> 00:01:48,360 Speaker 1: quote that the former head of the FBI used to use, 28 00:01:48,400 --> 00:01:51,840 Speaker 1: which was, are you a workhorse or are you a 29 00:01:52,040 --> 00:01:55,920 Speaker 1: show horse? It certainly seems as if mister Patel is 30 00:01:55,960 --> 00:01:59,240 Speaker 1: more on the show horse side of the leisure there. 31 00:01:59,680 --> 00:02:03,880 Speaker 2: That's sounds right to me. So I hate to discuss 32 00:02:03,880 --> 00:02:07,000 Speaker 2: something that's so slippery slope, but it really seems like 33 00:02:07,200 --> 00:02:09,360 Speaker 2: this is one of those cases where a slippery slope 34 00:02:09,440 --> 00:02:13,160 Speaker 2: argument is very pertinent, which is that Elon Musk's Doze 35 00:02:13,360 --> 00:02:16,400 Speaker 2: just keeps on inching a little bit further than they 36 00:02:16,480 --> 00:02:20,919 Speaker 2: should every single week. And now they've seized an independent nonprofit. 37 00:02:21,320 --> 00:02:24,440 Speaker 1: So the US Institute of Peace is not a federal 38 00:02:24,480 --> 00:02:30,400 Speaker 1: agency or located in a federal building, but for whatever reason, 39 00:02:30,600 --> 00:02:34,760 Speaker 1: Doge used the police to take it over. Police in 40 00:02:34,800 --> 00:02:38,400 Speaker 1: private security to forcedly take over the US Institute of Peace. 41 00:02:38,760 --> 00:02:42,160 Speaker 1: It's an independent nonprofit founded by Congress, It has a 42 00:02:42,240 --> 00:02:45,240 Speaker 1: president and its board was fired last week by the 43 00:02:45,280 --> 00:02:49,360 Speaker 1: Trump administration. The Appociated Press reported that DOGE workers on 44 00:02:49,440 --> 00:02:54,160 Speaker 1: Monday had law enforcement escort them into the USIP, which 45 00:02:54,240 --> 00:02:59,160 Speaker 1: is not located in a federal building, after being denied access. 46 00:02:59,560 --> 00:03:03,679 Speaker 1: DOJ came into the building. Again, this is a wild 47 00:03:03,840 --> 00:03:09,160 Speaker 1: story for any number of reasons, the illegality, the strangeness, 48 00:03:09,280 --> 00:03:13,840 Speaker 1: and also why they're so set on getting into every 49 00:03:14,240 --> 00:03:17,160 Speaker 1: bit of the federal government. DOAGE came into the building. 50 00:03:17,160 --> 00:03:20,160 Speaker 1: They're inside the building, they're bringing the FBI, and they've 51 00:03:20,200 --> 00:03:24,440 Speaker 1: brought a bunch of DC police. A USIP lawyer, Sophie 52 00:03:24,480 --> 00:03:27,240 Speaker 1: Lindhall the New York Times. She said, what happened today 53 00:03:27,280 --> 00:03:30,679 Speaker 1: is an illegal takeover by elements of the executive brands 54 00:03:30,800 --> 00:03:35,160 Speaker 1: of a private nonprofit. You can't do that. It's very 55 00:03:35,200 --> 00:03:38,480 Speaker 1: clear their desire part of the administration to dismantle a 56 00:03:38,520 --> 00:03:41,880 Speaker 1: lot of what we call foreign assistance. But again sort 57 00:03:41,920 --> 00:03:45,560 Speaker 1: of baffling as to why if it's not, if this 58 00:03:45,680 --> 00:03:51,920 Speaker 1: is not government fraud, waste and abuse, then what are 59 00:03:51,920 --> 00:03:56,600 Speaker 1: we doing here. The privately operated USIP works to maintain 60 00:03:56,840 --> 00:04:01,120 Speaker 1: US diplomacy abroad, and as staff was doing all they 61 00:04:01,160 --> 00:04:04,640 Speaker 1: could to emphasize that before the DoD break in. I 62 00:04:04,760 --> 00:04:08,040 Speaker 1: can't imagine how our work could align more perfectly with 63 00:04:08,080 --> 00:04:11,640 Speaker 1: the goals he has outlined keeping us out of four wars, 64 00:04:11,800 --> 00:04:15,640 Speaker 1: which saves money, ultimately resolving conflicts before they drag us 65 00:04:15,800 --> 00:04:21,919 Speaker 1: into these kind of conflicts. Mooset noted, Musk seems to disagree. Yeah, correct, 66 00:04:22,279 --> 00:04:26,000 Speaker 1: fun stuff. The party never ends in Dogtown, Sabaia. The 67 00:04:26,080 --> 00:04:30,159 Speaker 1: other night, one of Trump's late night truths, he decided 68 00:04:30,440 --> 00:04:34,279 Speaker 1: that Biden using an auto pen for pardons means they're void, 69 00:04:34,520 --> 00:04:38,560 Speaker 1: so that the January sixth committee can be prosecuted by him. 70 00:04:39,000 --> 00:04:41,960 Speaker 1: I have bad news for all of the January sixth people. 71 00:04:42,000 --> 00:04:44,680 Speaker 1: He pardoned that the autopen was also used there. So 72 00:04:44,760 --> 00:04:47,159 Speaker 1: I'm really excited about this new precedent that I'm sure 73 00:04:47,200 --> 00:04:50,480 Speaker 1: is going to be held to both sides. So Kinsinger, 74 00:04:50,760 --> 00:04:55,239 Speaker 1: as a response to this, said, stop pretending like you're tough. 75 00:04:55,760 --> 00:04:59,400 Speaker 1: Trump declared Sunday that many of Piden's pardons, which were 76 00:04:59,480 --> 00:05:02,719 Speaker 1: just talking about we're autopend and therefore not valid. Again, 77 00:05:02,800 --> 00:05:06,760 Speaker 1: this is so flimsy. Kinseger was told Jake Tapper, first 78 00:05:06,760 --> 00:05:09,200 Speaker 1: of all, I'm trying to figure out what he's trying 79 00:05:09,200 --> 00:05:13,520 Speaker 1: to distract from, because that's what all this is always 80 00:05:13,560 --> 00:05:17,520 Speaker 1: a distraction to get people's attention. Sounds like Kenzinger knows 81 00:05:17,720 --> 00:05:20,919 Speaker 1: what's going on here, and then he said or maybe 82 00:05:20,920 --> 00:05:24,720 Speaker 1: he feels like he hasn't gotten enough attention. But look, Jake, 83 00:05:24,880 --> 00:05:29,000 Speaker 1: it's like, bring it on, and he's right. The Oversight Project, 84 00:05:29,000 --> 00:05:32,240 Speaker 1: a branch of the conservative think tank the Heritage Foundation, 85 00:05:32,560 --> 00:05:36,240 Speaker 1: cast out on social media this month over the validity 86 00:05:36,240 --> 00:05:40,039 Speaker 1: of documents that it claimed Biden had signed electronically. This 87 00:05:40,200 --> 00:05:45,400 Speaker 1: is completely silly and totally nutty. While many conservatives argue 88 00:05:45,400 --> 00:05:49,359 Speaker 1: that Biden's partons are invaluable, are invalid if an autopen 89 00:05:49,520 --> 00:05:54,040 Speaker 1: was used, Obama used autopens, Trump used auto pens. Very 90 00:05:54,080 --> 00:05:57,200 Speaker 1: stupid and makes no sense. Of course they'll try it. 91 00:05:57,640 --> 00:06:01,600 Speaker 2: So in good news, the Trump Anddministration, for once, is 92 00:06:01,640 --> 00:06:06,240 Speaker 2: actually obeying a judge and is moving to reinstate twenty 93 00:06:06,240 --> 00:06:08,960 Speaker 2: four thousand federal workers after judges orders. 94 00:06:09,320 --> 00:06:13,200 Speaker 1: Yeah, elon mush It turns out what you do at Twitter, 95 00:06:13,839 --> 00:06:16,360 Speaker 1: you can't just do that in the federal government. Trump 96 00:06:16,400 --> 00:06:20,320 Speaker 1: administration has taken a step to reinstate thousands of probationary 97 00:06:20,360 --> 00:06:22,720 Speaker 1: workers by the way, the whole idea of firing all 98 00:06:22,760 --> 00:06:26,200 Speaker 1: these probationary workers. You can be in a probationary period 99 00:06:26,200 --> 00:06:30,560 Speaker 1: when you've just been elevated, when you've just had a promotion. 100 00:06:31,000 --> 00:06:34,359 Speaker 1: Like the whole idea that somehow being in a probationary 101 00:06:34,520 --> 00:06:38,200 Speaker 1: period would make you someone who should be fired is 102 00:06:38,240 --> 00:06:40,960 Speaker 1: a fallacy. And you know this was done in such 103 00:06:40,960 --> 00:06:44,680 Speaker 1: a slapshot way. No one is saying you shouldn't cut fraud, 104 00:06:44,680 --> 00:06:47,640 Speaker 1: waste and abuse. We're just saying that what Elon says 105 00:06:47,680 --> 00:06:50,960 Speaker 1: is fraud, waste, and abuse is just things he doesn't like. 106 00:06:51,440 --> 00:06:54,760 Speaker 1: So that is I think an important data point here. 107 00:06:54,920 --> 00:06:56,559 Speaker 1: I think a lot of the people will come back, 108 00:06:57,000 --> 00:07:00,400 Speaker 1: a lot of them are needed. And again, this is 109 00:07:00,480 --> 00:07:04,640 Speaker 1: just cleaning up a mass that Trump World created itself, 110 00:07:04,680 --> 00:07:07,719 Speaker 1: and we'll see more of that over the coming years. 111 00:07:08,160 --> 00:07:08,520 Speaker 3: All right. 112 00:07:12,880 --> 00:07:16,360 Speaker 1: Ron Brownstein is a senior political analyst for CNN and 113 00:07:16,440 --> 00:07:21,560 Speaker 1: a senior editor at The Atlantic. Welcome back to Fast Politics, 114 00:07:21,800 --> 00:07:23,320 Speaker 1: Ron Brownstein, a. 115 00:07:23,480 --> 00:07:24,520 Speaker 4: Molly good to be here. 116 00:07:24,920 --> 00:07:26,920 Speaker 1: I just think of you as like very smart and 117 00:07:27,080 --> 00:07:31,240 Speaker 1: also sort of you know what the framework is supposed 118 00:07:31,240 --> 00:07:33,280 Speaker 1: to look like, so you can tell me how fucked 119 00:07:33,360 --> 00:07:34,360 Speaker 1: up we are. Right now. 120 00:07:34,600 --> 00:07:37,200 Speaker 4: Well, look, I think from you know, we're looking at 121 00:07:37,200 --> 00:07:39,160 Speaker 4: a policy and legal point of view, we are at 122 00:07:39,160 --> 00:07:42,040 Speaker 4: the outer edge of the challenges to the rule of 123 00:07:42,120 --> 00:07:45,480 Speaker 4: law that people anticipated under Trump. You know, maybe we're 124 00:07:45,480 --> 00:07:47,000 Speaker 4: beyond the outer edge. 125 00:07:46,720 --> 00:07:49,040 Speaker 3: With the seemingly. 126 00:07:48,520 --> 00:07:52,200 Speaker 4: Open defiance of a federal court order on these deportations, 127 00:07:52,600 --> 00:07:55,840 Speaker 4: the detaining of a graduate student with a green card 128 00:07:55,880 --> 00:07:58,960 Speaker 4: because of what he said, the targeting of law firms, 129 00:07:58,960 --> 00:08:02,160 Speaker 4: the pardoning of the viol on January sixth rioters, half 130 00:08:02,200 --> 00:08:05,560 Speaker 4: a dozen other things we could list. The challenge to 131 00:08:05,600 --> 00:08:07,800 Speaker 4: the rule of law as we have understood it, I 132 00:08:07,800 --> 00:08:12,720 Speaker 4: think is pretty sustained and serious and deep. But the 133 00:08:12,880 --> 00:08:15,280 Speaker 4: likelihood is that that's not where the political fate of 134 00:08:15,320 --> 00:08:17,360 Speaker 4: the Trump administration is going to be settled. You know, 135 00:08:17,440 --> 00:08:20,000 Speaker 4: it's going to be I think, on the same kitchen 136 00:08:20,040 --> 00:08:24,280 Speaker 4: table concerns that got him elected. And as I wrote 137 00:08:24,400 --> 00:08:27,760 Speaker 4: last week, while the economy was his most consistent and 138 00:08:27,840 --> 00:08:31,160 Speaker 4: probably his greatest first term strength, in his second term, 139 00:08:31,440 --> 00:08:34,880 Speaker 4: it is looking very quickly to be his most conspicuous 140 00:08:34,920 --> 00:08:36,040 Speaker 4: political vulnerability. 141 00:08:36,360 --> 00:08:39,600 Speaker 1: So let's talk about that. Because in Trump one point zero, 142 00:08:40,040 --> 00:08:42,360 Speaker 1: he did the tax cut, he juiced the economy, and 143 00:08:42,360 --> 00:08:45,400 Speaker 1: then he did the tariffs right, so it was very 144 00:08:46,360 --> 00:08:51,320 Speaker 1: juiced up economy tariffs Trump two point zero. He doesn't 145 00:08:51,320 --> 00:08:55,240 Speaker 1: seem to care about the dow anymore, right, I mean 146 00:08:55,720 --> 00:08:58,640 Speaker 1: all the sort of guardrails that we remember from Trump 147 00:08:58,679 --> 00:09:02,559 Speaker 1: one point zero, mad about the daw grown up in 148 00:09:02,720 --> 00:09:05,920 Speaker 1: the in the White House, saying you can't just do 149 00:09:06,160 --> 00:09:09,360 Speaker 1: willie nilly tariff's all that's over. 150 00:09:09,480 --> 00:09:10,079 Speaker 3: Right, you. 151 00:09:10,120 --> 00:09:12,400 Speaker 4: No, It's really interesting. I wrote a piece in the 152 00:09:12,400 --> 00:09:16,000 Speaker 4: Fall I Guess Winner after the election saying that, as 153 00:09:16,000 --> 00:09:18,680 Speaker 4: you just noted, almost all of the constraints that limited 154 00:09:18,720 --> 00:09:20,840 Speaker 4: Trump in his first term would not be there in 155 00:09:20,880 --> 00:09:23,480 Speaker 4: his second term. He doesn't have those voices from other 156 00:09:23,480 --> 00:09:26,080 Speaker 4: parts of the party inside the administration telling him, eh, 157 00:09:26,160 --> 00:09:29,040 Speaker 4: maybe you shouldn't do this. He doesn't have McConnell and Ryan, 158 00:09:29,080 --> 00:09:31,920 Speaker 4: who are much more skeptical of him than Thune and Johnson. 159 00:09:31,960 --> 00:09:35,320 Speaker 4: He doesn't have the Supreme Court that existed then in 160 00:09:35,400 --> 00:09:38,040 Speaker 4: twenty seventeen, and I wrote that this would not be 161 00:09:38,120 --> 00:09:42,679 Speaker 4: an unmitigated blessing for him or the Republican Party because Trump, unbound, 162 00:09:42,840 --> 00:09:45,000 Speaker 4: you know, goes to extremes that the country may not 163 00:09:45,040 --> 00:09:47,720 Speaker 4: want to follow. And after I wrote that, a very 164 00:09:47,880 --> 00:09:52,120 Speaker 4: senior official from an earlier Democratic administration called me up 165 00:09:52,120 --> 00:09:53,720 Speaker 4: and to say, you know, I agree with everything you said, 166 00:09:53,760 --> 00:09:55,800 Speaker 4: except you missed one thing that was still going to 167 00:09:55,840 --> 00:09:58,400 Speaker 4: constrain Trump. The Dow, the stock market. 168 00:09:58,640 --> 00:10:01,280 Speaker 1: Well we all thought that because of Trump one point. 169 00:10:01,320 --> 00:10:03,640 Speaker 1: Now yeah, yeah. 170 00:10:03,040 --> 00:10:06,640 Speaker 4: So now I think, you know, as on the legal front, 171 00:10:06,720 --> 00:10:10,640 Speaker 4: on the economic front, you are getting more of Trump unfiltered, 172 00:10:10,679 --> 00:10:13,360 Speaker 4: which is not an unmitigated blessing, as I said, for 173 00:10:13,480 --> 00:10:15,880 Speaker 4: him or for the Republican Party. You know, Trump has 174 00:10:15,920 --> 00:10:19,240 Speaker 4: always talked about tariffs out of both sides of his mouth, 175 00:10:19,280 --> 00:10:20,920 Speaker 4: but I think one of them is what he really 176 00:10:20,960 --> 00:10:23,840 Speaker 4: believes he and particularly as defenders, you know, like the 177 00:10:23,840 --> 00:10:26,040 Speaker 4: Treasury Secretary in the Commerce secretary, I will say the 178 00:10:26,080 --> 00:10:30,280 Speaker 4: tariff threats are a brilliant negotiating tool. They how we 179 00:10:30,400 --> 00:10:33,720 Speaker 4: break other countries to our will on whatever we're worried about. 180 00:10:33,920 --> 00:10:36,240 Speaker 4: But you know, most of the time Trump also says 181 00:10:36,320 --> 00:10:39,679 Speaker 4: tariffs are good in themselves, right, that will lead to 182 00:10:39,720 --> 00:10:44,559 Speaker 4: this reshoring of American manufacturing might and he doesn't present 183 00:10:44,600 --> 00:10:46,840 Speaker 4: them at all, And they will raise so much revenue 184 00:10:46,840 --> 00:10:48,880 Speaker 4: that you can cut taxes on rich people even more, 185 00:10:48,920 --> 00:10:50,640 Speaker 4: even though they are regressive. 186 00:10:50,480 --> 00:10:51,560 Speaker 3: As we talk about. 187 00:10:51,880 --> 00:10:54,200 Speaker 4: I think the latter is what he really believes. He 188 00:10:54,320 --> 00:10:57,840 Speaker 4: keeps threatening these giant tariffs and then pulling back when 189 00:10:57,920 --> 00:11:00,480 Speaker 4: the other countries give him even the best Garis fig 190 00:11:00,559 --> 00:11:02,080 Speaker 4: Leaf to do so, and all the people in his 191 00:11:02,080 --> 00:11:05,320 Speaker 4: administration where leary of tarots go. You know, he stepped 192 00:11:05,320 --> 00:11:07,240 Speaker 4: back from the brink again, but sooner or later he 193 00:11:07,360 --> 00:11:09,079 Speaker 4: is going to jump over the brink, because that is 194 00:11:09,120 --> 00:11:11,200 Speaker 4: what he really wants to do deep down. I don't 195 00:11:11,200 --> 00:11:14,040 Speaker 4: think Trump views tariffs as a negotiating tactic. I think 196 00:11:14,040 --> 00:11:16,840 Speaker 4: he views them as a good in themselves. He wants 197 00:11:16,880 --> 00:11:20,040 Speaker 4: to impose them and in ways we can discuss I 198 00:11:20,080 --> 00:11:22,080 Speaker 4: think is by the way, I think I notice one 199 00:11:22,120 --> 00:11:26,560 Speaker 4: thing before, jentlemen. His promotion of tariffs has oddly placed 200 00:11:26,600 --> 00:11:30,440 Speaker 4: him in the same position on the economy as Joe Biden, 201 00:11:30,720 --> 00:11:33,480 Speaker 4: where he is basically arguing that his agenda will lead 202 00:11:33,520 --> 00:11:35,640 Speaker 4: to a lot of domestic investment and a lot more 203 00:11:35,679 --> 00:11:40,040 Speaker 4: manufacturing jobs. But I think that like Biden, Trump is 204 00:11:40,080 --> 00:11:44,240 Speaker 4: faded to discover a very hard lesson jobs are not 205 00:11:44,480 --> 00:11:47,600 Speaker 4: in antidote to prices when people are learned about their 206 00:11:47,600 --> 00:11:48,240 Speaker 4: cost of living. 207 00:11:48,600 --> 00:11:53,040 Speaker 1: Right, No, and I agree, and I see the same thing, 208 00:11:53,440 --> 00:11:56,160 Speaker 1: the exact same thing you're talking about with Chips and Science. Right. 209 00:11:56,400 --> 00:12:00,160 Speaker 1: Trump is obviously speaking to this thing which Biden did too, 210 00:12:00,240 --> 00:12:04,280 Speaker 1: which is the middle of the country wants its jobs back. 211 00:12:04,640 --> 00:12:08,000 Speaker 1: It wants its jobs from the nineteen seventies and the 212 00:12:08,080 --> 00:12:12,480 Speaker 1: nineteen fifties back. And so while Biden had Chips and Science, 213 00:12:12,559 --> 00:12:15,800 Speaker 1: which brought some jobs back, but again, you know, it's 214 00:12:15,840 --> 00:12:19,320 Speaker 1: a real uphill climb to bring back manufacturing of the 215 00:12:19,440 --> 00:12:21,600 Speaker 1: sort that we have not had in this country in 216 00:12:21,640 --> 00:12:25,160 Speaker 1: fifty years. Right, I mean, that's what we're talking about doing. 217 00:12:25,320 --> 00:12:26,360 Speaker 1: That is the goal. 218 00:12:26,679 --> 00:12:28,400 Speaker 4: As they used to say on CBS, Let's go to 219 00:12:28,440 --> 00:12:31,760 Speaker 4: the videotape. Right, So Biden says, Okay, I'm going to 220 00:12:31,760 --> 00:12:35,200 Speaker 4: bring back manufacturing with these subsidies under the Chips Act 221 00:12:35,400 --> 00:12:38,920 Speaker 4: and the Inflation Reduction Act, any infrastructure bill to promote 222 00:12:38,920 --> 00:12:43,240 Speaker 4: more domestic manufacturing. It worked to a large extent. He 223 00:12:43,320 --> 00:12:48,160 Speaker 4: got over one trillion dollars of private sector investment, and 224 00:12:48,320 --> 00:12:51,400 Speaker 4: over his four years from January of twenty twenty one 225 00:12:51,960 --> 00:12:53,840 Speaker 4: to December of twenty twenty four, I happened to have 226 00:12:53,880 --> 00:12:56,720 Speaker 4: this right here. He freased the total number of manufacturing 227 00:12:56,800 --> 00:12:59,160 Speaker 4: jobs from twelve point one million to about twelve point 228 00:12:59,160 --> 00:13:01,800 Speaker 4: eight million. At the same time, he added about a 229 00:13:02,000 --> 00:13:05,600 Speaker 4: million more construction jobs to build all of these plants 230 00:13:05,800 --> 00:13:09,600 Speaker 4: that Intel was opening in Ohio. Our car companies were 231 00:13:09,640 --> 00:13:13,320 Speaker 4: opening in North Carolina, on Alabama and Georgia mostly read 232 00:13:13,400 --> 00:13:15,560 Speaker 4: right to work states. But that's a good issue. 233 00:13:15,600 --> 00:13:16,480 Speaker 3: So now here. 234 00:13:16,240 --> 00:13:18,520 Speaker 4: Comes Trump and says, I don't want to do any 235 00:13:18,559 --> 00:13:22,120 Speaker 4: of those subsidies. But basically I have a different means 236 00:13:22,160 --> 00:13:24,400 Speaker 4: towards the same end. I'm going to put up these 237 00:13:24,400 --> 00:13:27,360 Speaker 4: big tariff walls, and I'm going to encourage companies to 238 00:13:27,559 --> 00:13:31,040 Speaker 4: build new factories in the US, and I'm going to 239 00:13:31,080 --> 00:13:35,120 Speaker 4: restore manufacturing jobs. So Joe Biden, as I said, I 240 00:13:35,160 --> 00:13:39,920 Speaker 4: think was pretty darn successful at promoting these core blue 241 00:13:39,920 --> 00:13:44,480 Speaker 4: collar jobs of manufacturing construction. One point six million more 242 00:13:44,600 --> 00:13:47,480 Speaker 4: jobs combined in those two fields when he was done 243 00:13:47,840 --> 00:13:50,400 Speaker 4: than when he started. And guess what he found out 244 00:13:50,480 --> 00:13:53,760 Speaker 4: in twenty twenty four, It did not matter to the 245 00:13:53,880 --> 00:13:58,000 Speaker 4: vast majority of Americans who don't work in construction or manufacturing. 246 00:13:58,040 --> 00:13:58,640 Speaker 3: At best. 247 00:13:58,840 --> 00:14:03,400 Speaker 4: There are twenty million people who work in construction and manufacturing. 248 00:14:03,600 --> 00:14:06,400 Speaker 4: A lot more people buy eggs every week, hey for 249 00:14:06,480 --> 00:14:09,320 Speaker 4: gas every week, And I think the bitter lesson for 250 00:14:09,400 --> 00:14:13,400 Speaker 4: Biden and Harris, and Harris recognized this was that jobs 251 00:14:13,559 --> 00:14:15,400 Speaker 4: is not an antidote to. 252 00:14:15,440 --> 00:14:17,160 Speaker 3: Prices, as I said. 253 00:14:16,880 --> 00:14:20,160 Speaker 4: And I think Trump is rumbling down the same track 254 00:14:20,360 --> 00:14:23,840 Speaker 4: where you know, if you look at polling, Americans overwhelmingly 255 00:14:23,880 --> 00:14:27,080 Speaker 4: say that prices are the principal metric by which they're 256 00:14:27,120 --> 00:14:30,120 Speaker 4: judging the health of the economy, not jobs. Even if 257 00:14:30,120 --> 00:14:32,760 Speaker 4: you build more manufacturing plants in the Midwest, not that 258 00:14:32,920 --> 00:14:35,560 Speaker 4: many people will ever work in them, as I said, 259 00:14:35,600 --> 00:14:38,320 Speaker 4: twenty million, right. And then you know we have in 260 00:14:38,400 --> 00:14:40,880 Speaker 4: polling somewhere around sixty percent of the country saying they 261 00:14:40,920 --> 00:14:43,120 Speaker 4: do not believe Trump is focused on the biggest problems 262 00:14:43,120 --> 00:14:47,400 Speaker 4: facing the nation. And as I wrote, his economic approval 263 00:14:47,480 --> 00:14:50,760 Speaker 4: rating is now in many polls lower than it was 264 00:14:50,800 --> 00:14:53,280 Speaker 4: in any point in his first top term, his disapproval 265 00:14:53,360 --> 00:14:55,560 Speaker 4: rating higher than any point it was in his first term. 266 00:14:55,840 --> 00:14:58,400 Speaker 4: And maybe most significantly, you know, if you look at 267 00:14:58,400 --> 00:15:02,480 Speaker 4: CNBC Gallop CNN, never did his economic rating come in 268 00:15:02,560 --> 00:15:05,280 Speaker 4: below his overall appropriating his economic rating, and his first 269 00:15:05,280 --> 00:15:11,800 Speaker 4: one was always a floor pushing him up. Now routinely Gallup, CNN, NBC, 270 00:15:11,960 --> 00:15:16,840 Speaker 4: Quinnipiac his economic approprating is below his overall appropriating. It 271 00:15:16,960 --> 00:15:20,480 Speaker 4: is a headwind pushing him down, not you know, a 272 00:15:20,520 --> 00:15:22,600 Speaker 4: sturdying force pushing him up. 273 00:15:23,200 --> 00:15:29,240 Speaker 1: So here we are right, we have Frump, unbound and unfettered. Right, 274 00:15:29,440 --> 00:15:31,880 Speaker 1: he does not care about the markets, he doesn't care 275 00:15:31,920 --> 00:15:34,400 Speaker 1: about the grown ups. He doesn't care. And then we 276 00:15:34,520 --> 00:15:38,280 Speaker 1: have his approval rating. You know, he came in as 277 00:15:38,400 --> 00:15:41,440 Speaker 1: much of a mandate as this guy has ever had. Finally, 278 00:15:41,440 --> 00:15:44,680 Speaker 1: a Republican have won the popular vote. Congratulations to all 279 00:15:44,720 --> 00:15:49,760 Speaker 1: who celebrate. And now here we are already just cratering 280 00:15:49,800 --> 00:15:53,520 Speaker 1: his approval. The things that he has been popular for. 281 00:15:53,720 --> 00:15:57,400 Speaker 1: He could solve the economy that's over. You got Vance 282 00:15:57,480 --> 00:16:01,280 Speaker 1: being booed when he goes to hear music. You've got 283 00:16:01,640 --> 00:16:04,880 Speaker 1: people protesting in the streets. It does not feel like 284 00:16:05,160 --> 00:16:08,760 Speaker 1: the admin really cares. It seems like they are just 285 00:16:08,840 --> 00:16:13,239 Speaker 1: as committed as ever. A going full doge creating. 286 00:16:13,040 --> 00:16:15,080 Speaker 4: Ring might be a little strong. I think crediting is strong. 287 00:16:15,280 --> 00:16:17,920 Speaker 4: I think it's dipping. He's a little higher in most 288 00:16:17,920 --> 00:16:19,520 Speaker 4: poles than where he was at this point in the 289 00:16:19,520 --> 00:16:22,600 Speaker 4: first term, but lower than any other newly elected president. 290 00:16:22,600 --> 00:16:25,520 Speaker 4: And the trajectory is clearly tore down. The number among 291 00:16:25,560 --> 00:16:29,920 Speaker 4: Independence is quite bad consistently. I mean, and we're looking 292 00:16:30,200 --> 00:16:32,640 Speaker 4: I tweeted maybe what three weeks ago that there were 293 00:16:32,680 --> 00:16:34,720 Speaker 4: seven or eight poles in a row where his approbating 294 00:16:34,760 --> 00:16:37,920 Speaker 4: among independence was at least ten points underwater. I mean, 295 00:16:37,960 --> 00:16:40,880 Speaker 4: now we're looking at twenty five and thirty in NBC 296 00:16:41,000 --> 00:16:45,360 Speaker 4: and CNN. So there is definitely anxiety, right. 297 00:16:45,240 --> 00:16:48,000 Speaker 1: And you invested a Trump going out saying no, we 298 00:16:48,120 --> 00:16:51,920 Speaker 1: might have a recession, which is unprecedented for a president 299 00:16:52,080 --> 00:16:54,280 Speaker 1: for any number of reasons, because you don't want a recession, 300 00:16:54,320 --> 00:16:55,960 Speaker 1: and you don't want people saying we're going to have 301 00:16:55,960 --> 00:16:59,000 Speaker 1: a recession. And when your people go out and say that, 302 00:16:59,120 --> 00:17:01,840 Speaker 1: it tends to create a recession. It tends to be 303 00:17:01,880 --> 00:17:03,120 Speaker 1: a self fulfilling prophecy. 304 00:17:03,280 --> 00:17:03,480 Speaker 3: Yeah. 305 00:17:03,520 --> 00:17:06,159 Speaker 4: Well, also the just the share uncertainty on the tariffs, 306 00:17:06,160 --> 00:17:08,200 Speaker 4: and you know, and I said, eventually he's going to 307 00:17:08,280 --> 00:17:09,920 Speaker 4: run through the play class window. He's not going to 308 00:17:10,000 --> 00:17:12,560 Speaker 4: stop every time he's he's he is going to run 309 00:17:12,560 --> 00:17:16,600 Speaker 4: through this window and impose significant tariffs and potentially slow down, 310 00:17:16,720 --> 00:17:19,639 Speaker 4: you know, the economy substantially. But what I'm saying is, 311 00:17:19,680 --> 00:17:22,400 Speaker 4: you know, in some ways Trump, unless he is serious 312 00:17:22,440 --> 00:17:24,480 Speaker 4: about trying to undo the Constitution, in which case it 313 00:17:24,520 --> 00:17:27,399 Speaker 4: wouldn't be a real election anyway. Trump is not going 314 00:17:27,440 --> 00:17:30,560 Speaker 4: to face the voters again. What's more remarkable is that 315 00:17:30,640 --> 00:17:33,159 Speaker 4: Republicans in Congress, who are going to face the voters 316 00:17:33,160 --> 00:17:37,520 Speaker 4: in twenty six, you know, are showing no hesitation. Maybe 317 00:17:37,560 --> 00:17:40,480 Speaker 4: a little on Doge here and there, but they are 318 00:17:40,560 --> 00:17:44,280 Speaker 4: basically still running down this track and even toward what 319 00:17:44,359 --> 00:17:46,840 Speaker 4: I think will be the defining political battle of twenty 320 00:17:46,840 --> 00:17:49,399 Speaker 4: twenty five, which will be the effort to extend the 321 00:17:49,440 --> 00:17:52,720 Speaker 4: tax cuts and tying that directly to cuts in federal spending, 322 00:17:52,760 --> 00:17:56,600 Speaker 4: particularly on medicaid. As I've written, the Republicans haven't directly 323 00:17:56,640 --> 00:17:59,280 Speaker 4: tied tax cuts and spending cuts since ninety five ninety six. 324 00:17:59,359 --> 00:18:01,680 Speaker 4: Each of the subsequent tax cuts, the Bush ones and 325 00:18:01,920 --> 00:18:04,240 Speaker 4: one and O three, the Trump tax cut in seventeen, 326 00:18:04,440 --> 00:18:07,320 Speaker 4: that was sugar only, Molly. They only did the tax cuts, 327 00:18:07,400 --> 00:18:10,040 Speaker 4: They kept the spending cuts years away. In fact, under Bush, 328 00:18:10,040 --> 00:18:13,119 Speaker 4: they didn't push for them until Obama came into office. 329 00:18:13,160 --> 00:18:16,679 Speaker 4: This is a replication instead of the Gingrich strategy in 330 00:18:16,760 --> 00:18:20,400 Speaker 4: ninety five ninety six, where they're in one bill they 331 00:18:20,400 --> 00:18:22,439 Speaker 4: are likely to say, Okay, we're going to cut taxes 332 00:18:22,480 --> 00:18:25,040 Speaker 4: primarily for the rich, and we're going to cut programs 333 00:18:25,359 --> 00:18:28,600 Speaker 4: primarily for the middle and working class Medicaid, ACA subs, 334 00:18:28,600 --> 00:18:30,760 Speaker 4: and these other things like that. That's how Bill Clinton 335 00:18:30,760 --> 00:18:33,919 Speaker 4: turned around his presidency by basically making that argument that 336 00:18:33,960 --> 00:18:37,600 Speaker 4: Republicans were cutting programs that benefit you to fund tax 337 00:18:37,640 --> 00:18:40,640 Speaker 4: cuts for their rich friends. We'll see, you know, right now, 338 00:18:40,680 --> 00:18:44,239 Speaker 4: Republicans look thard their steaming toward you know, recreating that. 339 00:18:44,600 --> 00:18:47,560 Speaker 4: We'll see if they kind of jump off the boat 340 00:18:47,640 --> 00:18:50,360 Speaker 4: before it hits the falls and maybe try to dodge 341 00:18:50,400 --> 00:18:54,360 Speaker 4: actually doing the cuts. But it's the congressional Republicans who 342 00:18:54,400 --> 00:18:56,760 Speaker 4: will face the consequences here. And you know, while the 343 00:18:56,760 --> 00:19:00,000 Speaker 4: Democratic image is very weak, I think it is weaker 344 00:19:00,080 --> 00:19:02,480 Speaker 4: than at any point since before Bill Clinton. And that 345 00:19:02,600 --> 00:19:05,600 Speaker 4: is a real issue for twenty twenty eight. It's probably 346 00:19:05,640 --> 00:19:08,119 Speaker 4: not as big an issue for twenty twenty six, right. 347 00:19:08,000 --> 00:19:11,600 Speaker 1: Because you're running again something. That's what Tim Miller said 348 00:19:11,600 --> 00:19:12,320 Speaker 1: to me the other day. 349 00:19:12,560 --> 00:19:16,560 Speaker 4: The critical variable of modern midterm elections is the president's appropriating. 350 00:19:16,600 --> 00:19:19,760 Speaker 4: Over ninety percent of people who disapproved of Trump voted 351 00:19:19,760 --> 00:19:22,560 Speaker 4: for Democrats in twenty eighteen. Nearly ninety percent of people 352 00:19:22,800 --> 00:19:25,399 Speaker 4: who approved of him voted for Democrats in the House. 353 00:19:25,840 --> 00:19:29,160 Speaker 4: In twenty eighteen, the ninety percent ratio held in virtually 354 00:19:29,240 --> 00:19:32,520 Speaker 4: every major Senate race. If Trump's disapproval rating is at 355 00:19:32,520 --> 00:19:36,280 Speaker 4: the fifty three level that CNN had last week, if 356 00:19:36,320 --> 00:19:38,760 Speaker 4: that's what it is on election day in twenty twenty six, 357 00:19:38,960 --> 00:19:42,040 Speaker 4: the odds are overwhelming that Democrats will take back the House. 358 00:19:42,200 --> 00:19:46,160 Speaker 4: You know, the Republican image among voters in twenty fourteen 359 00:19:46,200 --> 00:19:49,200 Speaker 4: and twenty ten wasn't really much better than Democrats. Now 360 00:19:49,400 --> 00:19:52,119 Speaker 4: roughly thirty percent viewed them positively. In twenty ten and 361 00:19:52,160 --> 00:19:54,840 Speaker 4: twenty fourteen, it didn't matter because people were casting a 362 00:19:54,920 --> 00:19:58,359 Speaker 4: vote against the income and President. Tom Davis run the 363 00:19:58,480 --> 00:20:03,280 Speaker 4: NRCC likes to say that in the midterm, voters usually 364 00:20:03,320 --> 00:20:05,600 Speaker 4: now vote to put a check on the president, not 365 00:20:05,600 --> 00:20:07,439 Speaker 4: to give him a blank check. And I still think 366 00:20:07,640 --> 00:20:09,679 Speaker 4: that will be the controlling variable. I mean, not that 367 00:20:09,720 --> 00:20:12,600 Speaker 4: the Democratic image problems are relevant. They are for twenty 368 00:20:12,640 --> 00:20:15,960 Speaker 4: twenty eight especially, and they will probably hurt the party 369 00:20:16,359 --> 00:20:19,040 Speaker 4: in purple areas that they're trying to contest in twenty 370 00:20:19,080 --> 00:20:23,000 Speaker 4: twenty six, But overall, the key variable for Democrats is 371 00:20:23,000 --> 00:20:27,119 Speaker 4: how popular Trump is and how effectively they can mobilize 372 00:20:27,520 --> 00:20:29,920 Speaker 4: what is already there, which is public resistance to a 373 00:20:29,920 --> 00:20:31,040 Speaker 4: lot of the things that he's doing. 374 00:20:31,359 --> 00:20:34,600 Speaker 1: So here's what I would say, and I think that's right. 375 00:20:34,960 --> 00:20:39,040 Speaker 1: But my question is this, So Doade seems to be 376 00:20:39,160 --> 00:20:42,200 Speaker 1: doing the thing that is the third rail in American 377 00:20:42,280 --> 00:20:47,000 Speaker 1: politics saying we're going to cut all of this federal 378 00:20:47,040 --> 00:20:49,880 Speaker 1: government staff, right, and they're saying to their base it's 379 00:20:49,920 --> 00:20:52,359 Speaker 1: ways for ourn abuse, but they're really saying, we're just 380 00:20:52,359 --> 00:20:55,360 Speaker 1: going to cut it because it's expensive and we want 381 00:20:55,400 --> 00:20:57,800 Speaker 1: to have tax cuts for our rich friends. So what 382 00:20:57,840 --> 00:21:01,200 Speaker 1: you're saying is that there's no historical precedent for doing 383 00:21:01,240 --> 00:21:04,600 Speaker 1: this right. Every time there's been tax cuts, it's never 384 00:21:04,720 --> 00:21:08,879 Speaker 1: been like, we are cutting federal services to give tax 385 00:21:08,920 --> 00:21:10,080 Speaker 1: cuts to wealthy people. 386 00:21:10,160 --> 00:21:12,480 Speaker 4: Yeah, they did it in ninety five ninety six, they did. 387 00:21:12,560 --> 00:21:15,600 Speaker 4: They tied it together the Gingrich Revolution. They passed the 388 00:21:15,640 --> 00:21:19,040 Speaker 4: Reconciliation Bill that had large tax cuts and large cuts 389 00:21:19,080 --> 00:21:23,040 Speaker 4: in spending, particularly block granting medicaid. That's how Clinton turned 390 00:21:23,040 --> 00:21:25,640 Speaker 4: around his presence. I mean, he basically are you old 391 00:21:25,720 --> 00:21:27,280 Speaker 4: enough to remember M two e two? 392 00:21:27,680 --> 00:21:27,920 Speaker 1: Yes? 393 00:21:28,280 --> 00:21:31,919 Speaker 4: M two e two was Clinton's mantra. It was Medicare medicaid, 394 00:21:32,320 --> 00:21:34,800 Speaker 4: the environment, and education, and we are going to protect 395 00:21:34,920 --> 00:21:37,879 Speaker 4: M to E two against the Republicans and their desire 396 00:21:37,920 --> 00:21:40,359 Speaker 4: to cut them for their tax cuts. After the ninety 397 00:21:40,359 --> 00:21:43,120 Speaker 4: four midterm, Clinton tried a lot of things to rebuild 398 00:21:43,119 --> 00:21:45,639 Speaker 4: his standing with the public, and none of them worked. 399 00:21:45,640 --> 00:21:48,040 Speaker 4: In the fall of ninety five, his approval was still 400 00:21:48,520 --> 00:21:51,399 Speaker 4: way under fifty. Then he got into a fight with 401 00:21:51,720 --> 00:21:55,359 Speaker 4: Gingrich over M two E two versus tax cuts, and 402 00:21:55,720 --> 00:21:58,280 Speaker 4: his approval rating went back over fifty percent. He went 403 00:21:58,320 --> 00:22:00,240 Speaker 4: past Dole in the polls. I mean, he never looked back. 404 00:22:00,320 --> 00:22:03,119 Speaker 4: He won a pretty decisive reelection. 405 00:22:02,840 --> 00:22:05,560 Speaker 1: Because voters hate having their stuff taken. 406 00:22:05,280 --> 00:22:07,360 Speaker 4: Away and they don't like tax cuts for the rich. 407 00:22:07,400 --> 00:22:09,400 Speaker 4: And when you put the two together, you know, it's 408 00:22:09,440 --> 00:22:11,040 Speaker 4: like they used to say it, like it goes together 409 00:22:11,080 --> 00:22:13,400 Speaker 4: like whiskey and second all that. 410 00:22:15,119 --> 00:22:17,480 Speaker 1: But does everyone know what second all is? 411 00:22:17,520 --> 00:22:20,040 Speaker 4: No, I don't think so, you know, second. 412 00:22:19,720 --> 00:22:22,840 Speaker 1: All to and all they were I'm actually too young 413 00:22:22,920 --> 00:22:26,160 Speaker 1: to have done them, but they were like first generation 414 00:22:26,320 --> 00:22:29,119 Speaker 1: Baally and so powerful that they were taking off the market. 415 00:22:29,400 --> 00:22:33,199 Speaker 4: Yeah, sadly, there you go. I mean, but that like, so, 416 00:22:33,480 --> 00:22:35,880 Speaker 4: you know, tax cuts for wealthy people are not popular 417 00:22:35,920 --> 00:22:39,520 Speaker 4: on their own spending. Cuts in programs that benefit the 418 00:22:39,520 --> 00:22:43,119 Speaker 4: middle class, particularly healthcare programs, are not popular. Here's what 419 00:22:43,160 --> 00:22:45,200 Speaker 4: I think is the risk, long term risk for Trump. 420 00:22:45,400 --> 00:22:49,840 Speaker 4: Right now, voters believe he is largely slighting the problem, 421 00:22:50,200 --> 00:22:52,600 Speaker 4: ignoring the problem that they elected him above all to 422 00:22:52,680 --> 00:22:55,800 Speaker 4: solve inflation. The risk is that down the road they 423 00:22:55,840 --> 00:22:58,160 Speaker 4: will view him as not so much ignoring inflation as 424 00:22:58,160 --> 00:23:01,919 Speaker 4: compounding it. If the tariffs go into place, That's one prong. 425 00:23:02,240 --> 00:23:06,199 Speaker 4: The other is if he pursues this budget fight that 426 00:23:06,400 --> 00:23:10,200 Speaker 4: allows Democrats to say he is raising your healthcare costs 427 00:23:10,680 --> 00:23:13,640 Speaker 4: to give tax cuts to his rich buddies and himself 428 00:23:13,640 --> 00:23:16,520 Speaker 4: and to Elon, and he's imposing tarrifsts on you. Then 429 00:23:16,560 --> 00:23:18,960 Speaker 4: you have a situation where not only do you swing 430 00:23:19,040 --> 00:23:21,639 Speaker 4: voters think Trump kind of took his eye off the ball. 431 00:23:21,720 --> 00:23:25,480 Speaker 4: They think he is actively, you know, making worse the 432 00:23:25,560 --> 00:23:28,280 Speaker 4: problem they elected him to solve. And I think that 433 00:23:28,320 --> 00:23:30,879 Speaker 4: would be a pretty dangerous place for Republicans to go 434 00:23:30,960 --> 00:23:33,919 Speaker 4: into twenty six. You know, there are a lot of 435 00:23:34,000 --> 00:23:36,520 Speaker 4: you know, look, the country's more polarized and locked in 436 00:23:36,560 --> 00:23:37,919 Speaker 4: than it used to be. There are a lot of 437 00:23:37,920 --> 00:23:42,480 Speaker 4: people who are deeply invested side of this fundamental cultural 438 00:23:42,800 --> 00:23:45,520 Speaker 4: cold war civil war that we are living through. But 439 00:23:45,600 --> 00:23:48,080 Speaker 4: the last ten percent of voters I think, are not 440 00:23:48,320 --> 00:23:52,560 Speaker 4: really that invested in those issues. One lesson this election 441 00:23:52,680 --> 00:23:55,399 Speaker 4: taught me is there are more people who are voting 442 00:23:55,520 --> 00:23:59,800 Speaker 4: on current conditions than you might think given the polarization. 443 00:24:00,520 --> 00:24:03,160 Speaker 4: And you know, we talk about how these are people 444 00:24:03,160 --> 00:24:05,720 Speaker 4: who don't follow a lot of political news, but I'll 445 00:24:05,720 --> 00:24:08,560 Speaker 4: tell you what, they are experts in their own lives, 446 00:24:09,240 --> 00:24:11,200 Speaker 4: and if they don't feel their lives are getting better 447 00:24:11,200 --> 00:24:13,480 Speaker 4: by twenty six, they are going to vote in a 448 00:24:13,520 --> 00:24:15,320 Speaker 4: way that reflects that if they vote at all. 449 00:24:15,520 --> 00:24:19,359 Speaker 1: You're talking about these voters who like the woman in 450 00:24:19,359 --> 00:24:22,000 Speaker 1: the Washington Post who heard that Trump was going to 451 00:24:22,040 --> 00:24:25,560 Speaker 1: make IVF free and decided to vote for him and 452 00:24:25,600 --> 00:24:28,479 Speaker 1: then lost their job. What percentage of the voter public 453 00:24:28,520 --> 00:24:29,120 Speaker 1: do you think that. 454 00:24:29,119 --> 00:24:31,240 Speaker 4: Is a lot of the people who vote in presidential 455 00:24:31,280 --> 00:24:33,680 Speaker 4: years and don't vote in the midterm would fall into that. 456 00:24:34,000 --> 00:24:35,680 Speaker 4: I've talked to you about this before. You know, if 457 00:24:35,680 --> 00:24:38,280 Speaker 4: you look at a variety of measures in exitpoles and 458 00:24:38,320 --> 00:24:41,680 Speaker 4: the vote cast, is Trump to extreme? Is the authoritarian? 459 00:24:41,760 --> 00:24:44,479 Speaker 4: Does he lacked the character to be president? Do you 460 00:24:44,520 --> 00:24:48,120 Speaker 4: agree with mass deportation. Somewhere between fifteen and twenty percent 461 00:24:48,160 --> 00:24:50,399 Speaker 4: of his voters gave him negative answers on all of 462 00:24:50,440 --> 00:24:53,280 Speaker 4: those things and voted for him anyway because they thought 463 00:24:53,440 --> 00:24:55,280 Speaker 4: he was he would be better for the economy. So 464 00:24:55,280 --> 00:24:58,040 Speaker 4: that takes you to about ten percent of the electorate probably. 465 00:24:57,680 --> 00:25:01,439 Speaker 1: Since that fifteen million people, Yeah, roughly, that seems like 466 00:25:01,600 --> 00:25:03,000 Speaker 1: a crazy high number. 467 00:25:03,040 --> 00:25:03,280 Speaker 4: I mean. 468 00:25:03,320 --> 00:25:05,040 Speaker 1: The thing that I was struck by when you're talking 469 00:25:05,040 --> 00:25:07,480 Speaker 1: about this, which I have been wanting to talk about, 470 00:25:07,560 --> 00:25:09,800 Speaker 1: but I feel like I have not had the opening, 471 00:25:10,320 --> 00:25:13,960 Speaker 1: is this idea that there were people Trump got out 472 00:25:14,280 --> 00:25:17,320 Speaker 1: who left the bottom of the ticket blank, people who 473 00:25:17,720 --> 00:25:20,840 Speaker 1: didn't necessarily like him but still believed he'd be better 474 00:25:20,880 --> 00:25:22,960 Speaker 1: for the economy. And if you think about this with 475 00:25:23,000 --> 00:25:24,960 Speaker 1: sort of a low turnout, like if you look at 476 00:25:24,960 --> 00:25:29,040 Speaker 1: twenty twenty, right had about twenty million less voters in 477 00:25:29,160 --> 00:25:30,760 Speaker 1: twenty four, would you say, no? 478 00:25:30,920 --> 00:25:32,520 Speaker 4: I think it was No, It wasn't that many. I 479 00:25:32,520 --> 00:25:34,760 Speaker 4: don't remember exactly, it was like five or seven. 480 00:25:34,920 --> 00:25:38,240 Speaker 1: So you really do see that there's like a there's 481 00:25:38,320 --> 00:25:41,280 Speaker 1: that percentage that didn't turn out right, like Harris. Harris 482 00:25:41,280 --> 00:25:43,399 Speaker 1: had gotten eighty one million, she would have won, right 483 00:25:43,440 --> 00:25:46,439 Speaker 1: if she had gotten what Biden got in twenty twenty, 484 00:25:46,600 --> 00:25:47,240 Speaker 1: she would have won. 485 00:25:47,560 --> 00:25:51,320 Speaker 4: One thing that David Shore argues that the Democratic data 486 00:25:51,320 --> 00:25:53,520 Speaker 4: analyst and I think others have argued, is that the 487 00:25:53,520 --> 00:25:56,760 Speaker 4: people who didn't turn out were very similar to the 488 00:25:56,800 --> 00:25:58,520 Speaker 4: people who switched the Trump I mean, they were kind 489 00:25:58,520 --> 00:26:01,480 Speaker 4: of lower income, lower from MEA. Voters were really unhappy 490 00:26:01,480 --> 00:26:03,600 Speaker 4: with what they got out of the Biden administration. So 491 00:26:03,640 --> 00:26:05,960 Speaker 4: they're not turning out was another reflection of the same 492 00:26:06,080 --> 00:26:08,480 Speaker 4: dynamic that moved those other voters of Trump. And it's 493 00:26:08,520 --> 00:26:10,560 Speaker 4: not clear at all if they did turn out, they 494 00:26:10,600 --> 00:26:13,000 Speaker 4: would have stuck with the Democrats because they were the 495 00:26:13,080 --> 00:26:16,199 Speaker 4: people who they lost on performance. The way I phrased 496 00:26:16,200 --> 00:26:18,679 Speaker 4: it before is the shocking thing about this election was 497 00:26:18,680 --> 00:26:21,920 Speaker 4: how normal it was. I mean, voters who were dissatisfied 498 00:26:21,920 --> 00:26:24,640 Speaker 4: with the status quo voted for the opposition party candidate 499 00:26:24,800 --> 00:26:28,320 Speaker 4: in the normal hydraulics of American politics, even though Trump 500 00:26:28,359 --> 00:26:30,920 Speaker 4: is anything but a normal candidate. You know, sixty percent 501 00:26:30,920 --> 00:26:34,800 Speaker 4: of the voters plus disapproved of Biden's performance, and eighty 502 00:26:34,840 --> 00:26:37,879 Speaker 4: percent plus of those disapprovers voted for Trump. Seventy percent 503 00:26:37,880 --> 00:26:40,240 Speaker 4: of people said the economy was in fair or poor shape, 504 00:26:40,320 --> 00:26:42,880 Speaker 4: and seventy percent of those people voted for Trump. I mean, 505 00:26:42,880 --> 00:26:45,600 Speaker 4: that's that's his vote. That's it. And all the reasons 506 00:26:45,600 --> 00:26:48,359 Speaker 4: why Trump is not a normal candidate of which we 507 00:26:48,400 --> 00:26:51,600 Speaker 4: are being reminded, you know, didn't matter as much to 508 00:26:51,680 --> 00:26:54,760 Speaker 4: the last incremental voters as the thought that life was 509 00:26:54,760 --> 00:26:56,840 Speaker 4: more affordable when he was president, and therefore they thought 510 00:26:56,840 --> 00:26:59,919 Speaker 4: it would be more affordable again. Meanwhile, economists were warning 511 00:27:00,080 --> 00:27:02,720 Speaker 4: all the way through that his second term agenda was 512 00:27:02,760 --> 00:27:06,320 Speaker 4: more likely to accelerate than you know, control inflation. And 513 00:27:06,400 --> 00:27:09,760 Speaker 4: now I think he faces that risk, you know, I mean, 514 00:27:09,800 --> 00:27:11,480 Speaker 4: I think a lot of the things he is doing 515 00:27:11,520 --> 00:27:14,359 Speaker 4: to disrupt government and to threaten the rule of law, 516 00:27:14,840 --> 00:27:16,640 Speaker 4: you know, are going to matter to the people who 517 00:27:16,640 --> 00:27:18,120 Speaker 4: turn out. Kind of people who turn out in twenty 518 00:27:18,160 --> 00:27:20,720 Speaker 4: twenty six, no doubt about it. It's more college educated 519 00:27:20,760 --> 00:27:23,960 Speaker 4: than overall. I think his numbers will decline among college 520 00:27:23,960 --> 00:27:27,040 Speaker 4: white men and college white women Republican numbers in twenty six. 521 00:27:27,280 --> 00:27:29,280 Speaker 4: But when you get back to twenty eight and this 522 00:27:29,480 --> 00:27:31,840 Speaker 4: added pool of voters who just aren't that invested in 523 00:27:31,840 --> 00:27:33,800 Speaker 4: that because they're really worried about just you know, keeping 524 00:27:33,920 --> 00:27:35,919 Speaker 4: shoes on the kids' feat I think he's going to 525 00:27:35,920 --> 00:27:39,520 Speaker 4: be judged on whether he delivered a better economy, you know, 526 00:27:39,560 --> 00:27:41,360 Speaker 4: and right now people don't see that. They don't even 527 00:27:41,400 --> 00:27:43,600 Speaker 4: see him trying. Really, you know, it's kind of a 528 00:27:43,640 --> 00:27:45,639 Speaker 4: double whammy. And I said, the triple whammy would be 529 00:27:45,640 --> 00:27:47,760 Speaker 4: if they think his agenda is actually making it worse. 530 00:27:48,280 --> 00:27:55,199 Speaker 1: Ron Brownstean, thank you, thank you. Jason Stanley is a 531 00:27:55,200 --> 00:27:59,119 Speaker 1: professor at Yale University as well as the author of 532 00:27:59,240 --> 00:28:03,119 Speaker 1: a recent hit history, How Fascist Rewrite the Past to 533 00:28:03,320 --> 00:28:08,840 Speaker 1: Control the Future. Welcome back to Fast Politics, Chasing Stanley. 534 00:28:09,240 --> 00:28:11,879 Speaker 3: Great to be in conversation with you, Powis Molly. 535 00:28:12,240 --> 00:28:17,879 Speaker 1: Academic institutions under attack, Let's talk about it. Colombia is 536 00:28:17,960 --> 00:28:21,240 Speaker 1: number one because the New York Post covers it. Right, 537 00:28:21,520 --> 00:28:26,359 Speaker 1: It's like, clearly the Trump administration has learned about Colombia. 538 00:28:26,840 --> 00:28:29,320 Speaker 3: No, I don't think that's right. I think Tim Snyder, 539 00:28:29,760 --> 00:28:33,640 Speaker 3: in a recent substock post, said that Colombia is number one, 540 00:28:34,119 --> 00:28:36,320 Speaker 3: and this is going to be you know, this is 541 00:28:36,359 --> 00:28:39,959 Speaker 3: intentionally ironic. Colombia is number one because it's located in 542 00:28:40,000 --> 00:28:45,120 Speaker 3: New York City. It's most identified with cosmopolitan, leftist Jews. 543 00:28:45,840 --> 00:28:49,920 Speaker 3: Twenty percent of its student population is Jewish. So you're 544 00:28:50,200 --> 00:28:55,040 Speaker 3: taking down the most Jewish identified university in the country 545 00:28:55,600 --> 00:29:00,240 Speaker 3: in the name supposedly of protecting Jewish students and faculty. 546 00:29:00,840 --> 00:29:03,920 Speaker 3: The level of hypocrisy is amazing. 547 00:29:04,320 --> 00:29:06,200 Speaker 1: I think it's because it gets the most coverage in 548 00:29:06,240 --> 00:29:08,600 Speaker 1: the New York Post. I'll tell you why. Then, You're 549 00:29:08,720 --> 00:29:13,640 Speaker 1: Post owned by Rupert Murnock. Local newspaper covered the Columbia 550 00:29:13,680 --> 00:29:18,000 Speaker 1: stuff a lot, partially because they knew it was like 551 00:29:18,080 --> 00:29:20,840 Speaker 1: a really good issue for them, right. I am not 552 00:29:21,080 --> 00:29:26,320 Speaker 1: convinced that actually the Judaism plays I mean, obviously Judaism 553 00:29:26,360 --> 00:29:29,400 Speaker 1: plays a huge role here in the macro, but I'm 554 00:29:29,400 --> 00:29:30,959 Speaker 1: not sure in the micro it does. 555 00:29:31,640 --> 00:29:35,479 Speaker 3: We're not disagreeing. I'm thinking it's an anti Semitic attack, 556 00:29:35,840 --> 00:29:38,480 Speaker 3: and I think that's one thing to focus on. They're 557 00:29:38,640 --> 00:29:43,040 Speaker 3: imitating Victor Bond's treatment of Central European University. They're showing 558 00:29:43,400 --> 00:29:49,000 Speaker 3: Krussia University because they can. The pests are totally irrelevant. 559 00:29:49,240 --> 00:29:54,000 Speaker 3: They just gave people an excuse. Notice that always says 560 00:29:54,440 --> 00:29:57,960 Speaker 3: illegal protests. He doesn't say protests about what. So he 561 00:29:58,120 --> 00:30:02,880 Speaker 3: knows that universities are where the democracy protests will occur. 562 00:30:03,360 --> 00:30:08,520 Speaker 3: The just protests were anti war protests, so anti war protests. 563 00:30:09,240 --> 00:30:12,640 Speaker 3: One of the largest identity groups in the protests at 564 00:30:12,720 --> 00:30:16,360 Speaker 3: Yale were Jewish students, So you know this has nothing 565 00:30:16,400 --> 00:30:21,080 Speaker 3: to do with Jewish students are protecting Jewish students and faculty. 566 00:30:21,400 --> 00:30:25,960 Speaker 3: There's Jewish students and Jewish faculty on both sides. So 567 00:30:26,960 --> 00:30:31,440 Speaker 3: it's just an excuse to crack down on universities. As JD. 568 00:30:31,600 --> 00:30:35,280 Speaker 3: Vance said, the professors are the enemy, and it's juiced 569 00:30:35,360 --> 00:30:38,480 Speaker 3: on by the mainstream media. The New York Times has 570 00:30:38,480 --> 00:30:43,560 Speaker 3: spent a decade attacking universities for having too little free speech. 571 00:30:43,680 --> 00:30:47,680 Speaker 3: You should allow racists, and now too much free speech. 572 00:30:47,720 --> 00:30:51,240 Speaker 3: You can't allow criticism of Israel. So the New York Times, 573 00:30:51,680 --> 00:30:55,080 Speaker 3: which is the media, has been attacking universities, and the 574 00:30:55,120 --> 00:30:59,480 Speaker 3: Atlantic has been attacking universities. These two democratic institutions, the 575 00:30:59,600 --> 00:31:03,400 Speaker 3: media and the universities should be allied. But the media 576 00:31:03,720 --> 00:31:07,800 Speaker 3: has been just dupes for fascism, and so they've paved 577 00:31:07,840 --> 00:31:10,800 Speaker 3: the road for what we see. In a sense, I'm like, 578 00:31:10,920 --> 00:31:13,200 Speaker 3: why should I stand up for the media given what 579 00:31:13,240 --> 00:31:18,040 Speaker 3: they've been doing to universities. So say more, well, the 580 00:31:18,200 --> 00:31:25,360 Speaker 3: media completely handed Trump a bomb. Trump wants to destroy universities, 581 00:31:25,760 --> 00:31:29,640 Speaker 3: every authoritarian wants to destroy universities. There are no liberal 582 00:31:29,720 --> 00:31:33,760 Speaker 3: arts colleges in authoritarian countries, so one of the first 583 00:31:33,760 --> 00:31:37,480 Speaker 3: things you do is attack the universities. The media has 584 00:31:37,560 --> 00:31:42,720 Speaker 3: been creating a fake narrative about you know, anti black 585 00:31:42,840 --> 00:31:47,760 Speaker 3: racists not allowed free speech, and then you know, and 586 00:31:47,800 --> 00:31:50,000 Speaker 3: then turned around and was like, Okay, there's too much 587 00:31:50,040 --> 00:31:55,440 Speaker 3: criticism of Israel, and all of this just handed fascism 588 00:31:55,960 --> 00:32:00,600 Speaker 3: a weapon. And in moments you need democratic in institutions 589 00:32:00,640 --> 00:32:03,920 Speaker 3: to ally with each other. The media is such a 590 00:32:04,080 --> 00:32:07,640 Speaker 3: toxic enemy of universities at this point that it's a 591 00:32:07,760 --> 00:32:14,880 Speaker 3: very difficult. We can't trust them. They've normalized this idea 592 00:32:15,040 --> 00:32:20,160 Speaker 3: that universities are filled with dangerous pro Palestinian Marxists or 593 00:32:20,240 --> 00:32:23,280 Speaker 3: what have you. And so it's a tricky time for 594 00:32:23,360 --> 00:32:26,560 Speaker 3: democracy because at this time where all of our institutions 595 00:32:26,560 --> 00:32:30,560 Speaker 3: are being attacked, the media has for ten years been 596 00:32:30,640 --> 00:32:33,280 Speaker 3: part of this republican campaign against the universities. 597 00:32:33,640 --> 00:32:37,040 Speaker 1: So let's talk about this so you feel and again, 598 00:32:37,320 --> 00:32:41,120 Speaker 1: I know those think pieces, and I know all of 599 00:32:41,120 --> 00:32:45,120 Speaker 1: those Connor Freed or whatever his name is, writes. 600 00:32:44,920 --> 00:32:50,760 Speaker 5: Them, evens all a lot of conservative white people like 601 00:32:50,840 --> 00:32:54,040 Speaker 5: during those pieces Basically, the theory of the case is 602 00:32:54,080 --> 00:32:59,240 Speaker 5: that college professors are too liberal and their liberalism. 603 00:32:58,640 --> 00:33:02,720 Speaker 1: Is oppressive students, right, that's the idea, is that these 604 00:33:02,760 --> 00:33:07,120 Speaker 1: students are being oppressed by these very liberal academic institutions, 605 00:33:07,240 --> 00:33:13,080 Speaker 1: very liberal professors, and that this liberalism creates an atmosphere 606 00:33:13,120 --> 00:33:15,880 Speaker 1: that is unsafe for conservatives. 607 00:33:16,360 --> 00:33:19,080 Speaker 3: Yes, that's the line. And then you know, so there's 608 00:33:19,120 --> 00:33:22,120 Speaker 3: not enough free speech for conservatives, but at the same time, 609 00:33:22,240 --> 00:33:25,160 Speaker 3: last year, suddenly, oh, there's too much free speech for 610 00:33:25,200 --> 00:33:28,320 Speaker 3: people critical of Israel. So there's a kind of incoherence there. 611 00:33:28,320 --> 00:33:31,360 Speaker 3: But if you so, first of all, the university is 612 00:33:31,480 --> 00:33:35,280 Speaker 3: filled with anti woke white men. To give you an 613 00:33:35,360 --> 00:33:38,680 Speaker 3: idea about how conservative the university is as an institution, 614 00:33:39,240 --> 00:33:43,920 Speaker 3: my department hired its first black tenured faculty member last year. 615 00:33:44,320 --> 00:33:47,360 Speaker 3: He started in twenty twenty four. So it's true we 616 00:33:47,440 --> 00:33:50,640 Speaker 3: have one black faculty member, and that's a radical threat 617 00:33:50,720 --> 00:33:54,480 Speaker 3: to Western civilization according to this lack But it's just 618 00:33:54,920 --> 00:33:58,640 Speaker 3: an absurdity, and the evidence for it things like, oh, 619 00:33:58,800 --> 00:34:01,960 Speaker 3: there are very few Trumphos in the academy. Well, guess what. 620 00:34:02,120 --> 00:34:05,440 Speaker 3: The physics department is very few Trump supporters, The math 621 00:34:05,520 --> 00:34:08,040 Speaker 3: department is very few Trump supporters. You're going to have 622 00:34:08,120 --> 00:34:11,480 Speaker 3: to do affirmative action across STEM to get to ten 623 00:34:11,600 --> 00:34:17,120 Speaker 3: percent of Trump supporters in engineering schools, maths department's physics department, 624 00:34:17,280 --> 00:34:19,800 Speaker 3: maybe twenty percent. You know whatever. I'm not show the numbers, 625 00:34:19,800 --> 00:34:22,200 Speaker 3: but they're tying their minuscule so has nothing to do 626 00:34:22,280 --> 00:34:25,560 Speaker 3: with the humanities. The thing is is that this line 627 00:34:25,600 --> 00:34:28,600 Speaker 3: and I said this, there's an Atlantic piece by Connor Friedsdorff. 628 00:34:29,120 --> 00:34:32,600 Speaker 1: I think all he writes about our college campuses exactly. 629 00:34:32,960 --> 00:34:35,040 Speaker 1: And actually you sent me a piece he wrote where 630 00:34:35,080 --> 00:34:37,719 Speaker 1: he was like, the reason I write about college campuses 631 00:34:38,160 --> 00:34:39,440 Speaker 1: is go So. 632 00:34:39,680 --> 00:34:41,920 Speaker 3: The piece I sent you was in twenty nineteen, and 633 00:34:41,960 --> 00:34:45,040 Speaker 3: he was responding to a tweet of mine saying, look, 634 00:34:45,239 --> 00:34:49,160 Speaker 3: every fascist and far right authoritarian country in the world 635 00:34:49,239 --> 00:34:53,520 Speaker 3: attacks universities for being too critical to left wing, too 636 00:34:53,600 --> 00:34:58,240 Speaker 3: critical of the country. This right wing propaganda campaign paid 637 00:34:58,280 --> 00:34:58,719 Speaker 3: for by. 638 00:34:58,600 --> 00:35:01,759 Speaker 1: The code playing into Yeah, playing into and what do 639 00:35:01,800 --> 00:35:02,360 Speaker 1: you say? 640 00:35:02,560 --> 00:35:04,440 Speaker 3: He responded and said, oh, you. 641 00:35:04,400 --> 00:35:07,120 Speaker 1: Know, indignantly, very angry. 642 00:35:07,480 --> 00:35:07,680 Speaker 6: Yeah. 643 00:35:08,000 --> 00:35:11,200 Speaker 3: And also it was twenty nineteen, and in twenty nineteen 644 00:35:11,280 --> 00:35:16,120 Speaker 3: people regarded me and my warnings about this as unhinged. 645 00:35:16,280 --> 00:35:19,839 Speaker 3: They're like, of course, this isn't authoritarianism. Of course, there's 646 00:35:19,840 --> 00:35:23,320 Speaker 3: no authoritarian attack on the university. So it was also 647 00:35:23,440 --> 00:35:25,920 Speaker 3: meant to be kind of making fun of me, that piece. 648 00:35:25,960 --> 00:35:28,640 Speaker 3: It was meant to be like, But now we see 649 00:35:28,840 --> 00:35:31,960 Speaker 3: the authoritarian attack that the media, and it's not just 650 00:35:32,040 --> 00:35:36,279 Speaker 3: Connor Friedsdorffer, it's Jonathan Hait and Greg Lukianoff and you 651 00:35:36,280 --> 00:35:40,719 Speaker 3: know it's The Atlantic published all these concerned pieces and 652 00:35:41,160 --> 00:35:44,680 Speaker 3: with Friedstofer and the New York Times and so they 653 00:35:44,719 --> 00:35:48,279 Speaker 3: published tons and tons not just from the conservative columnists, 654 00:35:48,320 --> 00:35:51,080 Speaker 3: but they invited other people to write about it. Just 655 00:35:51,200 --> 00:35:54,640 Speaker 3: concern trolling that set up the universities. And now we 656 00:35:54,680 --> 00:35:58,440 Speaker 3: have another. So Trump is always saying, echoing this exact 657 00:35:58,520 --> 00:36:02,120 Speaker 3: campaign run by the mainstream media. He's always saying he's 658 00:36:02,160 --> 00:36:05,560 Speaker 3: going to bring free speech to campus, right by a 659 00:36:05,640 --> 00:36:09,600 Speaker 3: rest protester. So's it's tapping into that. It shows you 660 00:36:09,680 --> 00:36:13,360 Speaker 3: that we've had a decade long right wing attack on 661 00:36:13,600 --> 00:36:17,960 Speaker 3: universities that was sane, washed, as they say in the 662 00:36:18,000 --> 00:36:21,640 Speaker 3: New York Times. And now now it's this delicate moment 663 00:36:21,760 --> 00:36:24,040 Speaker 3: when you know the media is being attacked, and the 664 00:36:24,080 --> 00:36:26,000 Speaker 3: media is going to be attacked, and the universities are 665 00:36:26,000 --> 00:36:28,080 Speaker 3: going to be attacked. But why should we trust the media? 666 00:36:29,239 --> 00:36:31,239 Speaker 1: You and I are like, why should we trust the media? 667 00:36:31,320 --> 00:36:35,080 Speaker 1: That's hey, that's me. One of the things as we 668 00:36:35,160 --> 00:36:39,720 Speaker 1: talk about this that I wonder out loud is instead 669 00:36:39,719 --> 00:36:42,239 Speaker 1: of talking about how bad everything is, and look, we'll 670 00:36:42,239 --> 00:36:45,480 Speaker 1: agree to disagree on notitorial pages. Do I think that 671 00:36:45,920 --> 00:36:52,360 Speaker 1: these editorials about the institutions of higher ed being filled 672 00:36:52,440 --> 00:36:55,560 Speaker 1: with liberals are stupid? Yes? Do I agree with them? No? 673 00:36:55,800 --> 00:36:58,160 Speaker 1: Do I think there are waste of time? Yes? Do 674 00:36:58,320 --> 00:37:03,960 Speaker 1: I think that they may have opened the thought leadership door? Perhaps? 675 00:37:04,480 --> 00:37:08,359 Speaker 1: Do I think that they are? Like? How powerful do 676 00:37:08,400 --> 00:37:12,160 Speaker 1: I think they are? You know that crew? Again, there's 677 00:37:12,200 --> 00:37:14,600 Speaker 1: a reason they go to war with the elites. 678 00:37:14,960 --> 00:37:19,240 Speaker 3: Right, the cultural elites. The literature on elites in sociology 679 00:37:19,360 --> 00:37:23,120 Speaker 3: dates back a century or more, and a very central 680 00:37:23,200 --> 00:37:25,920 Speaker 3: point in the literature on elites is there's different kinds 681 00:37:25,920 --> 00:37:30,440 Speaker 3: of elites university professors and teachers and K through twelve teachers. 682 00:37:30,520 --> 00:37:33,799 Speaker 3: Because they're also attacking them viciously, even harder. 683 00:37:33,560 --> 00:37:34,160 Speaker 1: Right, right, right? 684 00:37:34,760 --> 00:37:38,319 Speaker 3: They're not elites in the financial certainly not. I mean, 685 00:37:38,680 --> 00:37:42,240 Speaker 3: the vast majority of professors are making you know, somewhere 686 00:37:42,280 --> 00:37:45,799 Speaker 3: between twenty five K and sixty K no in an 687 00:37:45,800 --> 00:37:48,719 Speaker 3: immense amount grading, you know, and that's just going to 688 00:37:48,800 --> 00:37:51,960 Speaker 3: get worse. And words, it's a working class job except 689 00:37:52,000 --> 00:37:55,000 Speaker 3: for a choice few. So these are not elites. 690 00:37:55,239 --> 00:37:57,360 Speaker 1: It's the illuminatis, right. 691 00:37:57,320 --> 00:38:01,040 Speaker 3: The illuminati. You know, you can hear ju in the background, right, 692 00:38:01,719 --> 00:38:06,200 Speaker 3: it is the leftist Marxist which like hilarious because I 693 00:38:06,239 --> 00:38:09,160 Speaker 3: am surrounded in the university. Thing about this campaign, the 694 00:38:09,200 --> 00:38:12,719 Speaker 3: campaign against universities, is that you had a lot of 695 00:38:12,800 --> 00:38:16,000 Speaker 3: college professors buying into it too, because for note, just 696 00:38:16,000 --> 00:38:19,759 Speaker 3: because they're kind of center left or just centrists. That's 697 00:38:19,800 --> 00:38:22,040 Speaker 3: the value party of university. 698 00:38:22,320 --> 00:38:25,160 Speaker 1: We've talked about this. We're talking about how do you 699 00:38:25,239 --> 00:38:30,680 Speaker 1: protect universities from this authoritarian administration. 700 00:38:31,239 --> 00:38:34,919 Speaker 3: Yeah, so one thing to see, they've jumped on anti semitism. 701 00:38:35,200 --> 00:38:37,680 Speaker 3: So one thing I'm trying to do in my communications 702 00:38:38,160 --> 00:38:41,799 Speaker 3: is emphasized that when you attack universities, and it's the 703 00:38:41,840 --> 00:38:44,600 Speaker 3: point Tim Snyder made in his piece. Tim Snyder said 704 00:38:44,840 --> 00:38:48,560 Speaker 3: he's a historian and he's not aware ever of universities 705 00:38:48,600 --> 00:38:54,440 Speaker 3: and free speech being attacked to benefit Jews. Those attacks 706 00:38:54,480 --> 00:38:57,319 Speaker 3: are usually to attack Jewish people, and of course the 707 00:38:57,400 --> 00:38:59,960 Speaker 3: university is one of the most Jewish institutions in America 708 00:39:00,000 --> 00:39:05,399 Speaker 3: in life. We are devastating universities in the name of 709 00:39:05,520 --> 00:39:06,920 Speaker 3: protecting Jewish people. 710 00:39:07,120 --> 00:39:11,400 Speaker 1: Right crazy. But so here's the question. If you wanted 711 00:39:11,520 --> 00:39:16,200 Speaker 1: to create a ecosystem where you could protect the universities, 712 00:39:16,719 --> 00:39:20,000 Speaker 1: wouldn't the first thing to set up a world where 713 00:39:20,360 --> 00:39:24,800 Speaker 1: all these universities negotiate together, where you say, an attack 714 00:39:25,160 --> 00:39:28,960 Speaker 1: on Columbia is the same as an attack on Yale 715 00:39:29,120 --> 00:39:30,879 Speaker 1: is the same as an attack on Harvard. So talk 716 00:39:30,960 --> 00:39:32,240 Speaker 1: me through how that would work. 717 00:39:32,280 --> 00:39:37,200 Speaker 3: Molly, brilliant placing you in command of that. The fear 718 00:39:37,680 --> 00:39:42,440 Speaker 3: is palpable in universities. America the greatest university system in 719 00:39:42,480 --> 00:39:46,000 Speaker 3: the world and will not be true in a few years. 720 00:39:46,120 --> 00:39:48,520 Speaker 3: Everyone in the world who can afford it sends their 721 00:39:48,600 --> 00:39:51,839 Speaker 3: kids to American universities if they can get in. That's 722 00:39:51,840 --> 00:39:55,720 Speaker 3: not going to happen anymore. You can't have universities teach 723 00:39:55,800 --> 00:39:59,120 Speaker 3: patriotic education because that won't attract the world. Why should 724 00:39:59,160 --> 00:40:02,520 Speaker 3: someone from jermy comment and learn some ridiculous story about 725 00:40:02,560 --> 00:40:05,640 Speaker 3: the United States. That's the greatest country in history. So 726 00:40:05,760 --> 00:40:10,040 Speaker 3: we have to work together. Unfortunately, each university president, especially 727 00:40:10,080 --> 00:40:14,120 Speaker 3: the new university presidents, they've been told by boards to 728 00:40:14,239 --> 00:40:17,399 Speaker 3: dock their hats so other universities get hit and they 729 00:40:17,400 --> 00:40:21,480 Speaker 3: don't get noticed. That is implicitly what they're saying, Molly, Now, 730 00:40:21,719 --> 00:40:28,160 Speaker 3: so the strategy has to be to work together. Unfortunately, 731 00:40:28,600 --> 00:40:32,640 Speaker 3: if you are university presidents saying, well, we're hoping to 732 00:40:32,880 --> 00:40:37,200 Speaker 3: escape relatively unscathed by keeping our heads down and letting 733 00:40:37,239 --> 00:40:42,080 Speaker 3: other universities get hit, that's the opposite of working together, and. 734 00:40:41,960 --> 00:40:45,239 Speaker 1: That ultimately is the problem. If we look at Columbia 735 00:40:45,239 --> 00:40:48,239 Speaker 1: and sort of what's happened to them, they have acquiesced 736 00:40:48,280 --> 00:40:51,640 Speaker 1: on each point, and Trump world has just kept going right. 737 00:40:52,000 --> 00:40:54,719 Speaker 3: Cap Man, the philosopher cap Man at Cornell, has a 738 00:40:54,760 --> 00:40:57,480 Speaker 3: piece where she talks about domestic abuse in the attack 739 00:40:57,560 --> 00:41:01,040 Speaker 3: on universities. She's saying that it's it's the same you know, 740 00:41:01,080 --> 00:41:04,520 Speaker 3: you think you can placate your domestic abuser, but you cannot. 741 00:41:04,800 --> 00:41:08,000 Speaker 3: It's the same logic going on. I said recently to 742 00:41:08,080 --> 00:41:10,680 Speaker 3: a friend of mine, I said, wow, they're like holding 743 00:41:10,920 --> 00:41:14,279 Speaker 3: billions of dollars of federal funding against us unless we 744 00:41:14,320 --> 00:41:16,120 Speaker 3: do what they say. And she looked at me like 745 00:41:16,120 --> 00:41:19,440 Speaker 3: I was an idiot and said, no, they're holding billions 746 00:41:19,440 --> 00:41:22,440 Speaker 3: of dollars. They're gonna slash billions of dollars no matter 747 00:41:22,480 --> 00:41:25,319 Speaker 3: what you say. They don't air at all. And so 748 00:41:25,520 --> 00:41:31,000 Speaker 3: Columbia's administration is now an international embarrassment and will go 749 00:41:31,080 --> 00:41:34,360 Speaker 3: down in history as for its cowardice. 750 00:41:34,520 --> 00:41:38,239 Speaker 1: But here's a question about Colombia. So what has happened 751 00:41:38,400 --> 00:41:42,920 Speaker 1: now is they've they've lost four hundred million dollars in grants, right, 752 00:41:43,680 --> 00:41:45,560 Speaker 1: so far A lot of these grants are for the 753 00:41:45,600 --> 00:41:48,640 Speaker 1: medical school, right, I mean this is not even you 754 00:41:48,680 --> 00:41:52,040 Speaker 1: know they have a big teaching hospital. It's pediatric cancer, 755 00:41:52,280 --> 00:41:56,080 Speaker 1: it's autoimmune diseases, it's this, it's that it has nothing 756 00:41:56,120 --> 00:42:00,000 Speaker 1: to do with woke anything, right, anything, nothing, And it's 757 00:42:00,360 --> 00:42:04,279 Speaker 1: a lot of medicine stuff. Then we have other kind 758 00:42:04,360 --> 00:42:07,680 Speaker 1: of forays into We don't know what the connection is 759 00:42:07,800 --> 00:42:12,279 Speaker 1: between the university and what happened to Muhammad Khalil, right, 760 00:42:12,719 --> 00:42:15,120 Speaker 1: Right do we know? We don't really know. We know 761 00:42:15,280 --> 00:42:18,440 Speaker 1: he was the negotiator with the faculty. We know that 762 00:42:18,600 --> 00:42:22,040 Speaker 1: ice showed up at his house. We know that he 763 00:42:22,200 --> 00:42:25,840 Speaker 1: is now in a detention center in Louisiana, still not 764 00:42:26,200 --> 00:42:27,400 Speaker 1: charged with anything. 765 00:42:27,760 --> 00:42:29,919 Speaker 3: Well, how can you charge him with anything? If they 766 00:42:30,080 --> 00:42:34,239 Speaker 3: can charge Khalil with something, they can charge any of 767 00:42:34,320 --> 00:42:36,600 Speaker 3: us because he is he is a green card, he 768 00:42:36,680 --> 00:42:40,040 Speaker 3: is the same rights. So if they charge him with something, 769 00:42:40,280 --> 00:42:41,719 Speaker 3: they can charge any of us. 770 00:42:41,920 --> 00:42:45,520 Speaker 1: I mean the question with Khalil is when does this end? 771 00:42:45,680 --> 00:42:45,839 Speaker 5: Right? 772 00:42:45,880 --> 00:42:48,000 Speaker 1: I mean, this is all opening the door to extra 773 00:42:48,120 --> 00:42:52,080 Speaker 1: law full a new paradigm in American life that we 774 00:42:52,160 --> 00:42:54,560 Speaker 1: go back to the red scare right where you can 775 00:42:54,680 --> 00:42:58,520 Speaker 1: arrest people for thought crimes and bad opinions. I mean, 776 00:42:58,560 --> 00:42:59,920 Speaker 1: that's what we're opening the door to. 777 00:43:00,080 --> 00:43:03,880 Speaker 3: Here, opening the door. The door's already open. This is 778 00:43:03,920 --> 00:43:07,239 Speaker 3: going to be worse than the McCarthy era, probably already. 779 00:43:07,360 --> 00:43:10,360 Speaker 3: You know where it's. I know your grandfather, Howard Fast 780 00:43:10,520 --> 00:43:13,640 Speaker 3: was a hero of that era, and so you know 781 00:43:13,719 --> 00:43:17,280 Speaker 3: you have a particular legacy and a role to play 782 00:43:17,360 --> 00:43:20,640 Speaker 3: at this time, Molly, given your personal history. I spoke 783 00:43:20,719 --> 00:43:24,160 Speaker 3: to the Michigan Faculty Senate on Friday with Isaac Camola, 784 00:43:24,320 --> 00:43:27,879 Speaker 3: or the Assembly of the Senate University of Michigan, when 785 00:43:27,920 --> 00:43:29,759 Speaker 3: it was out in an arbor's but he asked me 786 00:43:29,840 --> 00:43:32,560 Speaker 3: and Isaac Camola and I to come speak. Isaac Camola 787 00:43:32,600 --> 00:43:35,319 Speaker 3: is at Trinity College. He's a scholar, among other things 788 00:43:35,360 --> 00:43:38,919 Speaker 3: of higher education, and his talk was about the relationship 789 00:43:38,920 --> 00:43:41,719 Speaker 3: between the current moment and the McCarthy era, so a 790 00:43:41,880 --> 00:43:44,120 Speaker 3: sort of deep dive into that, and he was pointing 791 00:43:44,120 --> 00:43:48,759 Speaker 3: out similarities and differences. One difference he pointed out is 792 00:43:48,800 --> 00:43:52,480 Speaker 3: that it's not this attack is not associated with one 793 00:43:52,600 --> 00:43:57,719 Speaker 3: person what we've had. So back then you could humiliate McCarthy, 794 00:43:57,800 --> 00:44:01,279 Speaker 3: Joseph McCarthy, and then you could gain action against the 795 00:44:01,280 --> 00:44:04,680 Speaker 3: red scale, but now it's the right wing. The Kochs 796 00:44:04,800 --> 00:44:08,040 Speaker 3: and other foundations started funding this attack on the universities 797 00:44:08,080 --> 00:44:10,399 Speaker 3: in twenty fifteen, really with a lot of funding. That's 798 00:44:10,400 --> 00:44:13,200 Speaker 3: when you started to see all these concerned all this 799 00:44:13,840 --> 00:44:16,359 Speaker 3: concern trolling in the media. And so we've had ten 800 00:44:16,480 --> 00:44:20,319 Speaker 3: years of that attack. We don't have people understanding and 801 00:44:20,440 --> 00:44:26,160 Speaker 3: valuing what universities do like other countries would kill for Harvard, Yale, 802 00:44:26,280 --> 00:44:29,960 Speaker 3: Princeton and Columbia Michigan. And you know, we have the 803 00:44:29,960 --> 00:44:33,360 Speaker 3: greatest universities in the world, and they produce an immense 804 00:44:33,360 --> 00:44:37,040 Speaker 3: amount for the United States. And also they're symbols of 805 00:44:37,040 --> 00:44:39,839 Speaker 3: our greatness. What else do we have that is as 806 00:44:39,880 --> 00:44:41,120 Speaker 3: great is our universities. 807 00:44:41,360 --> 00:44:43,520 Speaker 1: I want to pause here for sent because I spend 808 00:44:43,560 --> 00:44:46,880 Speaker 1: a lot of time interviewing Clay Risen from the New 809 00:44:46,960 --> 00:44:49,120 Speaker 1: York Times, who just wrote a book about McCarthy, which 810 00:44:49,120 --> 00:44:52,000 Speaker 1: my grandfather is documented in. We have been having this 811 00:44:52,080 --> 00:44:55,200 Speaker 1: conversation for the last week actually about whether or not 812 00:44:55,280 --> 00:44:59,680 Speaker 1: this is worse than McCarthy is. It's stupid conversation because 813 00:44:59,760 --> 00:45:02,239 Speaker 1: it is is what it is, right, But we both 814 00:45:02,239 --> 00:45:04,359 Speaker 1: have gotten very stuck on this idea. Is it worse 815 00:45:04,360 --> 00:45:05,360 Speaker 1: than McCarthyism? Is it? 816 00:45:05,640 --> 00:45:07,120 Speaker 3: That's what a lot of people are talking about. 817 00:45:07,200 --> 00:45:11,000 Speaker 1: My hottest take is that actually it's still better than 818 00:45:11,080 --> 00:45:17,440 Speaker 1: McCarthy because I know here's why. Because during McCarthyism, you 819 00:45:17,480 --> 00:45:21,120 Speaker 1: didn't really have a free press. You had network television, 820 00:45:21,120 --> 00:45:23,440 Speaker 1: but it was still really controlled by the government, and 821 00:45:23,480 --> 00:45:26,600 Speaker 1: they could still say standard says, you can't put this 822 00:45:26,719 --> 00:45:30,240 Speaker 1: on the air. There was a lot more government control 823 00:45:30,360 --> 00:45:35,279 Speaker 1: of media. And now even though people don't read, you 824 00:45:35,520 --> 00:45:38,920 Speaker 1: have infinite you know, areas for context. 825 00:45:39,160 --> 00:45:41,719 Speaker 3: But Molly, I already pre responded to you. What I 826 00:45:41,760 --> 00:45:45,200 Speaker 3: said is the media has already saine washed the attack 827 00:45:45,239 --> 00:45:49,120 Speaker 3: on the universities, and Times in the past had already 828 00:45:49,480 --> 00:45:54,040 Speaker 3: stocked their opinion pages with the people who've done this 829 00:45:54,200 --> 00:45:58,400 Speaker 3: sain washing. So who've done nothing but be dupes for fascism. 830 00:45:58,480 --> 00:46:01,359 Speaker 3: So you know, the media is already committed to the 831 00:46:01,400 --> 00:46:04,319 Speaker 3: line that the excuse is that the Trump regime is 832 00:46:04,440 --> 00:46:07,680 Speaker 3: using to dismantle the universities. They're the ones who gave 833 00:46:07,719 --> 00:46:10,520 Speaker 3: them the free speech thing and the anti Semitism thing, 834 00:46:10,680 --> 00:46:14,600 Speaker 3: also McCarthyism, although it was directed against Jews of course. 835 00:46:14,880 --> 00:46:18,520 Speaker 3: Right now I think is the worst time for American 836 00:46:18,600 --> 00:46:23,480 Speaker 3: Jews in our history, not because of anti war protests 837 00:46:23,520 --> 00:46:27,800 Speaker 3: and criticisms of Israel, but because we're being set off split. 838 00:46:27,920 --> 00:46:29,360 Speaker 1: Yeah, well we're also being split. 839 00:46:29,480 --> 00:46:31,520 Speaker 3: Well, it's not being split. Jews are always split, We're 840 00:46:31,520 --> 00:46:34,680 Speaker 3: always split. It's we have never been this salient in 841 00:46:34,760 --> 00:46:39,600 Speaker 3: American life. And the history books will look back and say, good, 842 00:46:40,000 --> 00:46:43,920 Speaker 3: hook down. Never good to be this ailiate, to be 843 00:46:44,040 --> 00:46:48,120 Speaker 3: responsible for the takedown of the American university systems. What 844 00:46:48,200 --> 00:46:50,920 Speaker 3: are the history books going to say, we're being used? 845 00:46:51,480 --> 00:46:53,880 Speaker 1: Jason Stanley, you and I are going to talk more 846 00:46:53,920 --> 00:46:57,839 Speaker 1: about this on the phone. Yes, my body so good. 847 00:46:57,920 --> 00:46:59,759 Speaker 1: Appreciate you, thank. 848 00:46:59,520 --> 00:47:02,360 Speaker 3: You, I so appreciate you. Molly. 849 00:47:03,800 --> 00:47:06,400 Speaker 1: And now we have a special clip from our YouTube 850 00:47:06,440 --> 00:47:09,640 Speaker 1: channel where I Fight Fight Fight with James Carvell about 851 00:47:09,680 --> 00:47:15,560 Speaker 1: how Democrats can fight back against the mega agenda. Hello, friend, Now, 852 00:47:16,920 --> 00:47:21,560 Speaker 1: so let's talk about you and I have a disagreement. 853 00:47:21,719 --> 00:47:24,680 Speaker 1: So let's what I mean. I don't know that we 854 00:47:24,800 --> 00:47:27,480 Speaker 1: disagree as much as we think we disagree. 855 00:47:28,000 --> 00:47:31,880 Speaker 6: Right, it's always generally that's the question that sometimes you 856 00:47:31,960 --> 00:47:34,759 Speaker 6: fight over something and you stop and you think, wait 857 00:47:34,760 --> 00:47:37,239 Speaker 6: a minute, it's not that big of a disagreement. 858 00:47:37,760 --> 00:47:40,360 Speaker 1: But let's but let's talk us through. You wrote a 859 00:47:40,360 --> 00:47:43,120 Speaker 1: piece for the New York Times opinion page. It's now 860 00:47:43,239 --> 00:47:45,799 Speaker 1: three weeks ago? Is it three weeks ago or three 861 00:47:45,920 --> 00:47:46,520 Speaker 1: years ago? 862 00:47:47,040 --> 00:47:47,279 Speaker 3: Right? 863 00:47:47,800 --> 00:47:49,359 Speaker 1: Tell me what your thesis was. 864 00:47:50,280 --> 00:47:57,399 Speaker 6: My thesis is this that there's genuine anger in the party. Yeah, 865 00:47:57,640 --> 00:48:03,560 Speaker 6: genuine frustration is genuine, and everybody wants to do something 866 00:48:03,600 --> 00:48:06,560 Speaker 6: and do something. Now, clearly I want to do something. 867 00:48:06,800 --> 00:48:10,640 Speaker 6: I want to stop this insanity. Is the best and 868 00:48:10,719 --> 00:48:14,919 Speaker 6: most effective I can. But you gotta let events come 869 00:48:14,960 --> 00:48:16,600 Speaker 6: to you, and they're coming to you fast. 870 00:48:16,719 --> 00:48:17,000 Speaker 3: Okay. 871 00:48:17,160 --> 00:48:20,799 Speaker 6: I mean the Schumer thinks everybody's and then when you 872 00:48:20,880 --> 00:48:23,960 Speaker 6: kind of read what his thinking was, you can disagree 873 00:48:24,000 --> 00:48:26,080 Speaker 6: with it, but it's not insane, right. 874 00:48:26,200 --> 00:48:28,080 Speaker 1: I think he made the wrong choice, but he did 875 00:48:28,080 --> 00:48:29,120 Speaker 1: not have great choices. 876 00:48:29,560 --> 00:48:34,040 Speaker 6: Right, What we know is we have there's one objective 877 00:48:34,080 --> 00:48:36,440 Speaker 6: and we know this and that is winning the election. 878 00:48:37,200 --> 00:48:40,000 Speaker 6: And anything that you can do to increase your chances 879 00:48:40,040 --> 00:48:43,080 Speaker 6: of winning the election is exactly what you do. There's 880 00:48:43,160 --> 00:48:47,320 Speaker 6: no other principle in politics. You can't destroy these people anymore, 881 00:48:47,320 --> 00:48:52,480 Speaker 6: and they're destroying himself right. And for the action now caucus, 882 00:48:52,680 --> 00:48:55,120 Speaker 6: my question is what action that we want to do? 883 00:48:55,320 --> 00:48:58,359 Speaker 6: Goddamn it we want Okay, what are we going to do? Well? 884 00:48:58,400 --> 00:48:59,520 Speaker 1: This is the big question. 885 00:49:00,960 --> 00:49:03,320 Speaker 6: So if you're like I am. I spoke to the 886 00:49:03,360 --> 00:49:06,359 Speaker 6: House Democratic Caucus yesterday. There are times Comperence and Gold 887 00:49:06,400 --> 00:49:09,480 Speaker 6: mag and they're talking about the split between the younger 888 00:49:09,480 --> 00:49:12,840 Speaker 6: Democrats who want more aggressive things and the older Democrats 889 00:49:13,480 --> 00:49:18,120 Speaker 6: does not abide by shut learn other people that are 890 00:49:19,120 --> 00:49:22,480 Speaker 6: advising strategic patients. I guess let's just call it that 891 00:49:22,680 --> 00:49:25,200 Speaker 6: to give it a word. And I think it's not 892 00:49:25,320 --> 00:49:28,360 Speaker 6: so much young and old. People that live in districts 893 00:49:28,360 --> 00:49:32,920 Speaker 6: that are twenty six percent Democratic have a different world 894 00:49:33,000 --> 00:49:35,640 Speaker 6: viewed and people that live in a district that is 895 00:49:36,080 --> 00:49:40,000 Speaker 6: two percent of representative district, that's two percent in favoring 896 00:49:41,239 --> 00:49:44,480 Speaker 6: And if we're about winning the election, then we have 897 00:49:44,600 --> 00:49:49,400 Speaker 6: to play to the plus or minus four cook PVI. 898 00:49:50,360 --> 00:49:54,359 Speaker 6: We have to play to that people in states where 899 00:49:54,360 --> 00:49:56,760 Speaker 6: we have elections coming up that we went. We can't 900 00:49:56,840 --> 00:50:02,640 Speaker 6: play to a district that's you know, Central Los Angeles 901 00:50:02,640 --> 00:50:04,600 Speaker 6: that we couldn't lose if we tried. 902 00:50:05,040 --> 00:50:09,160 Speaker 1: Okay, so I'm going to read you something from the 903 00:50:09,280 --> 00:50:17,480 Speaker 1: chief of staff of my future husband. No, I'm just kidding. 904 00:50:17,880 --> 00:50:21,839 Speaker 1: Governor of Illinois JB. Pritzker, his chief of staff. The 905 00:50:21,920 --> 00:50:25,080 Speaker 1: fight going on in the Democratic Right Party right now 906 00:50:25,239 --> 00:50:28,120 Speaker 1: is not between hard left left and moderate. It's between 907 00:50:28,160 --> 00:50:30,319 Speaker 1: those who want to fight and those who want to 908 00:50:30,400 --> 00:50:35,160 Speaker 1: cave and team fight stretches across all the ideological aspects 909 00:50:35,200 --> 00:50:38,000 Speaker 1: of the party. Misread this at your own peril. 910 00:50:38,840 --> 00:50:42,400 Speaker 6: True or false, it's abundantly false. 911 00:50:43,200 --> 00:50:44,160 Speaker 1: Oh oh interesting. 912 00:50:44,360 --> 00:50:46,719 Speaker 6: Tell me why do you want to win or you 913 00:50:46,800 --> 00:50:49,640 Speaker 6: don't want to win? The question is not do we 914 00:50:49,719 --> 00:50:51,840 Speaker 6: fight or do we not fight? The question is do 915 00:50:51,920 --> 00:50:54,879 Speaker 6: we win or not win? JB. Pritsker can't lose an 916 00:50:54,880 --> 00:50:58,399 Speaker 6: election in Illinois. He would have a different view if 917 00:50:58,440 --> 00:51:02,320 Speaker 6: it was Michigan, a different view if if it was made. 918 00:51:02,520 --> 00:51:04,680 Speaker 6: You'd have a different view if it was North Carolina. 919 00:51:04,840 --> 00:51:08,960 Speaker 6: When George Washington when the British landed at Long Island. 920 00:51:09,239 --> 00:51:12,480 Speaker 6: You know what George Washington did, He would treating to Trenton. 921 00:51:12,760 --> 00:51:16,160 Speaker 6: And you know what happened at Trenton treated the valley 922 00:51:16,200 --> 00:51:18,799 Speaker 6: forge and ended up in Trenton and ended up went 923 00:51:18,800 --> 00:51:22,279 Speaker 6: into war. So to the people who say we want 924 00:51:22,320 --> 00:51:26,520 Speaker 6: to fight, great fight, How you don't have the votes. 925 00:51:27,040 --> 00:51:31,960 Speaker 6: You can't pass gas. That's the consequence of losing an election. 926 00:51:32,440 --> 00:51:35,800 Speaker 6: All right, get over it, dude. You're in a state 927 00:51:36,360 --> 00:51:40,000 Speaker 6: that we can't lose. So you can send that out 928 00:51:40,239 --> 00:51:43,319 Speaker 6: in all of the Democratic donors on the North side 929 00:51:43,360 --> 00:51:43,960 Speaker 6: of Chicago. 930 00:51:44,120 --> 00:51:45,719 Speaker 3: Yeah, you're right, God damn it, you're right. 931 00:51:45,840 --> 00:51:48,640 Speaker 6: You know, tired of each goddamn fuzzy sitting around you 932 00:51:48,760 --> 00:51:51,279 Speaker 6: don't know whether to you know, want to ask the 933 00:51:51,320 --> 00:51:52,200 Speaker 6: scratch they watch? 934 00:51:52,239 --> 00:51:53,520 Speaker 1: We got to go out and get them. 935 00:51:53,920 --> 00:51:56,319 Speaker 3: How what right? 936 00:51:56,800 --> 00:52:00,520 Speaker 1: If you were Mitch McConnell and you were in this situation, 937 00:52:00,760 --> 00:52:03,560 Speaker 1: what would you do? It's a thought experiment. 938 00:52:04,080 --> 00:52:06,480 Speaker 6: I say this jokingly. If I were miss McConnell, I 939 00:52:06,520 --> 00:52:09,400 Speaker 6: was shot myself a long time ago, you know, right, 940 00:52:11,200 --> 00:52:14,160 Speaker 6: But but but now there, if. 941 00:52:14,040 --> 00:52:16,360 Speaker 1: You were Mitch McConnell, you would have an opportunity. 942 00:52:16,400 --> 00:52:21,160 Speaker 3: What would you do again to the do something caucus? 943 00:52:21,680 --> 00:52:22,640 Speaker 6: Do what? 944 00:52:23,800 --> 00:52:26,640 Speaker 1: Well, then that's my question for you. What would Mitch 945 00:52:26,719 --> 00:52:27,319 Speaker 1: McConnell do. 946 00:52:27,719 --> 00:52:28,239 Speaker 3: I don't know. 947 00:52:28,640 --> 00:52:32,920 Speaker 6: I mean, he's compromised himself on so many different occasions. 948 00:52:33,440 --> 00:52:36,720 Speaker 6: He he did not go through with the peatment of Trump, 949 00:52:37,040 --> 00:52:41,279 Speaker 6: which would have prevented Trump from running again right time 950 00:52:41,360 --> 00:52:43,480 Speaker 6: and time. You know, he had to stand down for 951 00:52:43,520 --> 00:52:46,160 Speaker 6: his caucus. I'm sure that Trump people don't care what 952 00:52:46,200 --> 00:52:48,080 Speaker 6: mich Cone does whatever he wants. 953 00:52:48,040 --> 00:52:51,279 Speaker 1: Right, No, but my but the thought experiment here is, 954 00:52:51,680 --> 00:52:57,040 Speaker 1: say you were you had the sheer cravenness of a 955 00:52:57,120 --> 00:53:00,680 Speaker 1: Mitch McConnell, and you were in the leadership of the 956 00:53:00,680 --> 00:53:01,640 Speaker 1: Democratic Party. 957 00:53:02,000 --> 00:53:02,640 Speaker 3: What would you do? 958 00:53:02,680 --> 00:53:06,480 Speaker 1: I mean, because we know that if these situations were reversed, 959 00:53:06,480 --> 00:53:08,880 Speaker 1: Mitch McConnell would be gumming up the works like you 960 00:53:08,920 --> 00:53:11,919 Speaker 1: can't believe it. I mean, think about Tommy Tuberville when 961 00:53:11,960 --> 00:53:15,000 Speaker 1: he prevented all of those. 962 00:53:15,920 --> 00:53:20,000 Speaker 6: Do you think that that helped the Republicans? Well, that 963 00:53:20,160 --> 00:53:22,800 Speaker 6: was Tommy Tulville, who Now we're going to take our 964 00:53:23,280 --> 00:53:25,760 Speaker 6: cute from a guy who's got a fifty two IQ. 965 00:53:26,160 --> 00:53:29,440 Speaker 1: All right, seems generous, But I'm just saying, coming up 966 00:53:29,440 --> 00:53:31,200 Speaker 1: the works. There's ways to do it. 967 00:53:31,280 --> 00:53:32,359 Speaker 4: How do you come them up? 968 00:53:32,560 --> 00:53:34,359 Speaker 6: Give me a way that you come up the work 969 00:53:34,480 --> 00:53:35,600 Speaker 6: so we have that. 970 00:53:35,719 --> 00:53:38,080 Speaker 1: You come up the works, you do a talking filibuster 971 00:53:38,239 --> 00:53:40,280 Speaker 1: for twenty four hours, and you make it so everybody 972 00:53:40,320 --> 00:53:44,040 Speaker 1: can't go on vacation. To hear more of this conversation, 973 00:53:44,280 --> 00:53:50,360 Speaker 1: please go over to YouTube and search for Molly Jong 974 00:53:50,680 --> 00:53:59,640 Speaker 1: Fast Fast Politics, No Moment, Jesse. 975 00:54:00,880 --> 00:54:03,719 Speaker 2: Mai. So I've decided I'm going to send you a 976 00:54:03,800 --> 00:54:06,360 Speaker 2: shocker here that you may not have seen for a 977 00:54:06,440 --> 00:54:09,960 Speaker 2: moment of fuckery. The listeners may remember this woman on 978 00:54:10,080 --> 00:54:13,880 Speaker 2: the right named Valentina Gomez, who once ran for Missouri 979 00:54:14,280 --> 00:54:16,799 Speaker 2: secretary of State and has now decided to move to 980 00:54:17,160 --> 00:54:21,799 Speaker 2: another state and run against Texas's Congressman Dan Crudshaw. And 981 00:54:21,840 --> 00:54:24,239 Speaker 2: she's been trying to get some attention. But I think 982 00:54:24,280 --> 00:54:27,279 Speaker 2: that this is actually the funniest campaign out of the year. 983 00:54:27,600 --> 00:54:29,239 Speaker 1: Let's hear exus. 984 00:54:29,480 --> 00:54:32,400 Speaker 7: It's time you find out what district I chose to 985 00:54:32,400 --> 00:54:38,120 Speaker 7: represent you in Congress. I've taken down pedophiles, criminals, corrupt politicians, 986 00:54:38,239 --> 00:54:40,680 Speaker 7: and now I'm coming for the Joe Biden of the 987 00:54:40,719 --> 00:54:43,680 Speaker 7: Republican Party and when you got me into Congress, I 988 00:54:43,719 --> 00:54:47,000 Speaker 7: will become the greatest stock traitor of all time. And 989 00:54:47,080 --> 00:54:49,160 Speaker 7: the best thing about it is that I will be 990 00:54:49,200 --> 00:54:52,359 Speaker 7: sharing every single one of my traits on XO so 991 00:54:52,400 --> 00:54:54,760 Speaker 7: you can get rich with me, and also to piss 992 00:54:54,800 --> 00:54:58,600 Speaker 7: off every member of Congress that makes money from privileged information. 993 00:54:59,200 --> 00:55:00,000 Speaker 1: They've been ticked tik. 994 00:55:00,400 --> 00:55:03,520 Speaker 7: Let's see how fast the Bank Congressional stock Trading or 995 00:55:03,600 --> 00:55:07,120 Speaker 7: puts her limits Texas thirty first Congressional District. 996 00:55:07,440 --> 00:55:09,680 Speaker 1: Buckle up, because this time I'm. 997 00:55:09,560 --> 00:55:13,040 Speaker 7: Coming with a warchest of cash and crypto. 998 00:55:14,239 --> 00:55:19,120 Speaker 1: Oh Jesus, She's coming with a word chest of cash 999 00:55:19,160 --> 00:55:19,720 Speaker 1: and crypto. 1000 00:55:20,719 --> 00:55:22,960 Speaker 2: She ends the video with a picture of her with 1001 00:55:23,000 --> 00:55:26,360 Speaker 2: her automatic weapon and a cyber truck. 1002 00:55:26,680 --> 00:55:31,440 Speaker 1: Oh yeah, I was hoping excellent, as one does. 1003 00:55:32,200 --> 00:55:35,319 Speaker 2: You and I have pressured a lot of politicians that 1004 00:55:35,440 --> 00:55:37,960 Speaker 2: we don't think this stock trading should come through. Much 1005 00:55:38,080 --> 00:55:40,479 Speaker 2: like when I wanted an atheist president and I got 1006 00:55:40,520 --> 00:55:42,759 Speaker 2: Donald Trump. This is not the way I want this 1007 00:55:42,840 --> 00:55:43,280 Speaker 2: to happen. 1008 00:55:43,560 --> 00:55:48,600 Speaker 1: If her congressional run means that there is a congressional 1009 00:55:48,640 --> 00:55:52,279 Speaker 1: stock trading ban, I'll take it. If there's one thing 1010 00:55:52,800 --> 00:55:56,080 Speaker 1: I want in this world, If there's one present that 1011 00:55:56,200 --> 00:55:59,120 Speaker 1: you could give me for Christmas. It is a congressional 1012 00:55:59,160 --> 00:56:00,200 Speaker 1: stock trade. 1013 00:56:00,440 --> 00:56:02,879 Speaker 2: Van in mine. I'm not going to stay on air. 1014 00:56:03,840 --> 00:56:08,200 Speaker 1: That's it for this episode of Fast Politics. Tune in 1015 00:56:08,480 --> 00:56:13,960 Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best 1016 00:56:14,040 --> 00:56:18,319 Speaker 1: minds and politics make sense of all this chaos. If 1017 00:56:18,360 --> 00:56:21,400 Speaker 1: you enjoy this podcast, please send it to a friend 1018 00:56:21,840 --> 00:56:25,080 Speaker 1: and keep the conversation going. Thanks for listening.