1 00:00:00,640 --> 00:00:04,160 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,360 --> 00:00:07,120 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:11,160 Speaker 1: today's best minds, and the US debt is on pace 4 00:00:11,280 --> 00:00:13,720 Speaker 1: to set a record high going all the way back 5 00:00:13,760 --> 00:00:17,960 Speaker 1: to seventeen ninety. We have such a great show for 6 00:00:18,000 --> 00:00:21,799 Speaker 1: you today, the nation's own git here stops by to 7 00:00:22,000 --> 00:00:26,279 Speaker 1: talk about one of the very few bright spots, Leonard 8 00:00:26,360 --> 00:00:30,360 Speaker 1: Leo versus Donald Trump. Then we'll talk to Minnesota Lieutenant 9 00:00:30,400 --> 00:00:34,400 Speaker 1: Governor Peggy Flanagan about her run for the Senate. But 10 00:00:34,520 --> 00:00:36,159 Speaker 1: first the news Somali. 11 00:00:36,280 --> 00:00:39,760 Speaker 2: We got very very bleak news out of the Supreme Court. 12 00:00:39,920 --> 00:00:43,640 Speaker 2: Everybody's trying to say, like, oh, thank god, the courts 13 00:00:43,640 --> 00:00:46,720 Speaker 2: are saving us. Well, there's five hundred thousand immigrants that 14 00:00:46,920 --> 00:00:49,640 Speaker 2: the Court is not going to save from Cuba, Haiti, 15 00:00:49,720 --> 00:00:51,279 Speaker 2: Nicaragua and Venezuela. 16 00:00:51,400 --> 00:00:54,800 Speaker 1: Yeah, you know, it's important to remember then, while the 17 00:00:54,840 --> 00:00:59,880 Speaker 1: Supreme Court occasionally does something to prevent a complete bax 18 00:01:00,040 --> 00:01:05,440 Speaker 1: slide into authoritarianism, they are largely very much the most 19 00:01:05,480 --> 00:01:11,320 Speaker 1: conservative Supreme Court in probably fifty years. They overturned Roe v. Wade, 20 00:01:11,800 --> 00:01:17,800 Speaker 1: They empower corporations every day. These are not your fronts. 21 00:01:18,240 --> 00:01:21,800 Speaker 1: And in case you're wondering. A pretty great example of 22 00:01:21,840 --> 00:01:26,679 Speaker 1: that was this Supreme Court decision. Trump administration can now 23 00:01:26,880 --> 00:01:30,160 Speaker 1: end a program that gave temporary production to more than 24 00:01:30,280 --> 00:01:35,360 Speaker 1: half a million immigrants from Cuba, Haiti, Nicaragua, and Venezuela. 25 00:01:35,720 --> 00:01:38,680 Speaker 1: You'll remember we've talked about this a lot. This was 26 00:01:39,080 --> 00:01:43,160 Speaker 1: we became this country after the Holocaust, right, a country 27 00:01:43,720 --> 00:01:50,000 Speaker 1: that welcomed immigrants, that had a moral imperative to not 28 00:01:50,240 --> 00:01:54,480 Speaker 1: to be the people who turned around the boat to 29 00:01:54,600 --> 00:01:57,040 Speaker 1: go back to the desk camp. So what we are 30 00:01:57,160 --> 00:02:01,560 Speaker 1: now that country that does that. And I'm not surprised, 31 00:02:01,760 --> 00:02:05,800 Speaker 1: nor should any of us be, but it's just an absolutely, 32 00:02:06,680 --> 00:02:09,680 Speaker 1: it's just devastating and it's so sad, and people will 33 00:02:09,720 --> 00:02:13,040 Speaker 1: go back to their countries and be murdered and we 34 00:02:13,080 --> 00:02:15,919 Speaker 1: will have done it right, the GOP will have done it. 35 00:02:16,120 --> 00:02:19,639 Speaker 1: And you know this is Mega. Mega does not want 36 00:02:20,080 --> 00:02:23,920 Speaker 1: any moral compass when it comes to immigration. They just 37 00:02:24,000 --> 00:02:28,600 Speaker 1: don't want immigrants unless, of course they're from South Africa 38 00:02:28,880 --> 00:02:32,640 Speaker 1: and then they can come, but otherwise they cannot. So 39 00:02:32,960 --> 00:02:33,600 Speaker 1: here we are. 40 00:02:34,360 --> 00:02:38,480 Speaker 2: So Trump's very stupid, big cruel Bill are the big 41 00:02:38,560 --> 00:02:40,919 Speaker 2: Beautiful Bill as they like to call it, is also 42 00:02:41,000 --> 00:02:43,840 Speaker 2: has another nice thing hidden in it. It's going to 43 00:02:43,880 --> 00:02:46,600 Speaker 2: roll back the Affordable Care Act, which will hurt so 44 00:02:46,720 --> 00:02:50,079 Speaker 2: many different Americans for many years. When I had cancer 45 00:02:50,160 --> 00:02:52,280 Speaker 2: years ago, it's one of the only reasons I am 46 00:02:52,360 --> 00:02:54,480 Speaker 2: still alive. So this is very disheartening. 47 00:02:54,880 --> 00:02:58,560 Speaker 1: Yeah, I mean, the whole idea here, even though this 48 00:02:58,880 --> 00:03:02,320 Speaker 1: bill does in fact raise the deficit about three zero 49 00:03:02,320 --> 00:03:07,760 Speaker 1: point three trillion dollars, is that this bill, it tries 50 00:03:07,800 --> 00:03:12,000 Speaker 1: to run against Medicaid expansion. It tries to roll back 51 00:03:12,160 --> 00:03:15,680 Speaker 1: a lot of the expansion that happened under Biden, and 52 00:03:15,760 --> 00:03:19,600 Speaker 1: it does all sorts of like seemingly fraudulent things like 53 00:03:20,000 --> 00:03:23,760 Speaker 1: making it hard to stay on Medicaid, making it hard 54 00:03:23,800 --> 00:03:27,360 Speaker 1: to register for Medicaid, making it I mean, all of 55 00:03:27,400 --> 00:03:32,000 Speaker 1: these little bits, it's still not saving anyone any money, right, 56 00:03:32,040 --> 00:03:34,200 Speaker 1: I mean, this is like a rounding error. You know 57 00:03:34,280 --> 00:03:37,880 Speaker 1: what would work here is if you fucking raise taxes. 58 00:03:38,120 --> 00:03:40,040 Speaker 1: And in fact, I just want to pause for a 59 00:03:40,040 --> 00:03:42,960 Speaker 1: second and just go into my thoughts here. This is 60 00:03:43,280 --> 00:03:46,640 Speaker 1: I'm going to give you my thoughts. We have at 61 00:03:46,640 --> 00:03:50,160 Speaker 1: this moment an opportunity and it's funny Trump said he 62 00:03:50,240 --> 00:03:52,160 Speaker 1: wanted to do it. I actually don't believe he ever 63 00:03:52,200 --> 00:03:53,760 Speaker 1: wanted to do it, but I think he knew that 64 00:03:53,800 --> 00:03:56,560 Speaker 1: there was an appetite for it. And this idea of 65 00:03:56,600 --> 00:03:59,400 Speaker 1: a tax bracket from people make over two point five 66 00:03:59,480 --> 00:04:03,280 Speaker 1: million dollars a year, which is a ton of money. Right, 67 00:04:03,360 --> 00:04:06,040 Speaker 1: over two point five million dollars a year. That's a 68 00:04:06,160 --> 00:04:09,119 Speaker 1: ton of money, and there should be a tax backet 69 00:04:09,240 --> 00:04:12,920 Speaker 1: for those people. There is no reason that people that 70 00:04:13,320 --> 00:04:16,760 Speaker 1: we have people making people who have one hundred billion 71 00:04:16,800 --> 00:04:22,080 Speaker 1: dollars or you know, eighty billion dollars. It's just completely nonsensical, 72 00:04:22,320 --> 00:04:24,640 Speaker 1: you know. And also they need to fund the irs. 73 00:04:24,839 --> 00:04:27,960 Speaker 1: So again, there are a lot of Democrats who have 74 00:04:28,120 --> 00:04:31,160 Speaker 1: talked about this, I think pretty well, which is, you know, 75 00:04:31,640 --> 00:04:34,159 Speaker 1: Elon Musk, the richest man in the world, making sure 76 00:04:34,200 --> 00:04:38,800 Speaker 1: your grandmother doesn't get, you know, get sixty four dollars 77 00:04:38,839 --> 00:04:41,839 Speaker 1: instead of sixty five dollars. And that's what this comes 78 00:04:41,839 --> 00:04:45,880 Speaker 1: down to. We are niggling and diming the poorest Americans 79 00:04:46,520 --> 00:04:51,200 Speaker 1: children on SNAP benefits, right, I mean, just they're cutting SNAP, 80 00:04:51,279 --> 00:04:55,400 Speaker 1: they're cutting Medicaid, they're cutting they're just cutting all of 81 00:04:55,440 --> 00:04:59,840 Speaker 1: the stuff that people need, and they're doing it in 82 00:05:00,120 --> 00:05:03,000 Speaker 1: the service of tax cuts for very rich people. So 83 00:05:03,279 --> 00:05:06,320 Speaker 1: This is one of the yet another sort of scammy 84 00:05:06,400 --> 00:05:07,560 Speaker 1: thing that they're doing here. 85 00:05:08,040 --> 00:05:10,919 Speaker 2: Yeah, speaking of scams, many people always talk about how 86 00:05:11,120 --> 00:05:15,000 Speaker 2: Trump is a product of our reality television. But now 87 00:05:15,000 --> 00:05:17,359 Speaker 2: what we're also seeing is he's a product of the 88 00:05:17,400 --> 00:05:21,120 Speaker 2: commercials that run between reality shows, which is saying that 89 00:05:21,160 --> 00:05:24,919 Speaker 2: he's caused great mental anguish in his lawsuit with CBS, 90 00:05:24,960 --> 00:05:29,480 Speaker 2: and he deserves much more money for his mental anguish. 91 00:05:29,680 --> 00:05:31,960 Speaker 2: Just like a silino in Barnes at. 92 00:05:32,120 --> 00:05:35,919 Speaker 1: Stop giving into Trump. It doesn't work. You know, you 93 00:05:35,960 --> 00:05:39,279 Speaker 1: have these law firms that made deals with Trump. Now 94 00:05:39,760 --> 00:05:42,880 Speaker 1: you have every person in the world things they can 95 00:05:42,960 --> 00:05:45,919 Speaker 1: get free pro bono from them. There was a great 96 00:05:45,920 --> 00:05:47,560 Speaker 1: piece I think it was in the New York Times 97 00:05:47,640 --> 00:05:50,359 Speaker 1: about veterans, Oh no, it was in the Wall Street Journal, 98 00:05:50,480 --> 00:05:54,560 Speaker 1: veterans who felt they had been hurt by anti Trump 99 00:05:54,600 --> 00:05:57,280 Speaker 1: forces trying to get these fancy lawyers to do pro 100 00:05:57,360 --> 00:05:59,919 Speaker 1: bono for them. I mean, this is just such a 101 00:06:00,200 --> 00:06:04,440 Speaker 1: insane You cannot negotiate with him, do not try to 102 00:06:04,480 --> 00:06:07,080 Speaker 1: make deals with him. So now, and he's also just 103 00:06:07,120 --> 00:06:10,400 Speaker 1: so grifty. So now he turned down a fifteen million 104 00:06:10,400 --> 00:06:13,240 Speaker 1: dollars settlement because he wants twenty five million dollars in 105 00:06:13,240 --> 00:06:16,680 Speaker 1: an apology. But what really Trump wants. I mean, look, 106 00:06:16,960 --> 00:06:20,560 Speaker 1: my man is grifty as how don't do this. It 107 00:06:20,600 --> 00:06:24,040 Speaker 1: doesn't work. Like if you pay out Donald Trump twenty 108 00:06:24,080 --> 00:06:27,120 Speaker 1: five million dollars, here's what's going to happen. He doesn't care. 109 00:06:27,240 --> 00:06:29,960 Speaker 1: It will encourage him to go after you more if 110 00:06:30,000 --> 00:06:33,080 Speaker 1: you don't do that and you fight him like Harvard 111 00:06:33,200 --> 00:06:36,560 Speaker 1: is the American people say, oh wow, this person is 112 00:06:37,120 --> 00:06:39,320 Speaker 1: not a bad person. This person is actually doing the 113 00:06:39,400 --> 00:06:42,640 Speaker 1: right thing. And so it's just this is so easy. 114 00:06:42,800 --> 00:06:45,640 Speaker 1: Don't do stuff like the Sherry Redstone thinks that by 115 00:06:45,760 --> 00:06:49,320 Speaker 1: doing this she'll get the murder through. But the truth 116 00:06:49,440 --> 00:06:51,960 Speaker 1: is what they should have done is they should have 117 00:06:52,000 --> 00:06:56,120 Speaker 1: just kept negotiating and kept pushing back and eventually Donald 118 00:06:56,160 --> 00:06:59,279 Speaker 1: Trump would have forgotten about it and moved on. Instead, 119 00:06:59,360 --> 00:07:02,360 Speaker 1: what they're doing, you know, or they could have fought 120 00:07:02,400 --> 00:07:04,480 Speaker 1: back more publicly and then it would have become a 121 00:07:04,520 --> 00:07:08,000 Speaker 1: big issue and either way they would have won in court. Instead, 122 00:07:08,000 --> 00:07:09,840 Speaker 1: what they're doing, and this is what happens when you 123 00:07:09,880 --> 00:07:12,800 Speaker 1: make a deal with Trump, is they now made a deal, 124 00:07:13,120 --> 00:07:15,520 Speaker 1: or they're trying to make a deal. They don't the 125 00:07:15,560 --> 00:07:18,400 Speaker 1: courts do not have their backs right, because they have 126 00:07:18,760 --> 00:07:20,200 Speaker 1: to say, you know, they're going to try to make 127 00:07:20,240 --> 00:07:22,920 Speaker 1: a deal with Trump, and then we all know what's 128 00:07:22,960 --> 00:07:25,360 Speaker 1: going to happen, which is Trump is going to change 129 00:07:25,360 --> 00:07:28,440 Speaker 1: his mind, which is what always happens. You can't trust him, 130 00:07:28,480 --> 00:07:31,640 Speaker 1: sooner or later he will recant the deal and change 131 00:07:31,640 --> 00:07:35,720 Speaker 1: the deal, and so stop doing this. This is ridiculous, 132 00:07:35,800 --> 00:07:40,560 Speaker 1: so annoying. It's also really really really bad for American democracy. 133 00:07:40,800 --> 00:07:44,520 Speaker 1: You know, what little we have left of really good 134 00:07:44,560 --> 00:07:49,280 Speaker 1: news institutions. CBS is just ruining itself for a merger 135 00:07:49,720 --> 00:07:52,840 Speaker 1: that you know, Trump still could end up stopping. And 136 00:07:52,880 --> 00:07:57,040 Speaker 1: it's just so disappointing. I'm so disappointed and everyone involved 137 00:07:57,080 --> 00:08:03,040 Speaker 1: in this really what what a as we say, A Shonda. 138 00:08:02,960 --> 00:08:06,400 Speaker 2: Yeah, So, as we discuss in the next segment on 139 00:08:06,480 --> 00:08:09,040 Speaker 2: this podcast, The New York Times has a report out 140 00:08:09,080 --> 00:08:11,720 Speaker 2: about Elon doing an amount of drugs that I've not 141 00:08:11,800 --> 00:08:14,200 Speaker 2: seen since my days in the record business working with 142 00:08:14,440 --> 00:08:16,280 Speaker 2: very famous drug addict artists. 143 00:08:16,480 --> 00:08:16,560 Speaker 1: Ed. 144 00:08:16,720 --> 00:08:19,080 Speaker 2: So Stephen Miller was asked about it, and he said, 145 00:08:19,200 --> 00:08:21,760 Speaker 2: the thing that we all know, we're worried about drugs 146 00:08:21,800 --> 00:08:24,520 Speaker 2: crossing the border, and they always look the other way 147 00:08:24,600 --> 00:08:26,400 Speaker 2: when it's a rich white guy doing it. 148 00:08:26,400 --> 00:08:29,920 Speaker 1: It's so unbelievably bad. I mean, it's also this has 149 00:08:30,000 --> 00:08:33,160 Speaker 1: never been about any of the things they say it is. 150 00:08:33,520 --> 00:08:37,280 Speaker 1: You know, they say it's about fentanyl. It's not about fentanyl. 151 00:08:37,480 --> 00:08:40,080 Speaker 1: This is that, right, It's about preventing drugs. It's about this, 152 00:08:40,200 --> 00:08:42,560 Speaker 1: It's about that. It's not about any of this fucking stuff. 153 00:08:42,600 --> 00:08:48,600 Speaker 1: It's actually about the Trump administration trying to get what 154 00:08:48,640 --> 00:08:51,200 Speaker 1: they can get out of the country, to get what 155 00:08:51,240 --> 00:08:53,920 Speaker 1: they can get out of the government, to make money. 156 00:08:54,400 --> 00:08:59,240 Speaker 1: And I really, really, really think that there is no 157 00:08:59,360 --> 00:09:05,240 Speaker 1: world which it's good that you have somebody who has 158 00:09:05,280 --> 00:09:09,360 Speaker 1: got tons of different security clearances and that person is 159 00:09:09,400 --> 00:09:13,640 Speaker 1: also taking drugs. According to the New York Times, psychedelics. 160 00:09:13,200 --> 00:09:19,359 Speaker 2: Not just drugs, like drugs that really make you hallucinate 161 00:09:19,520 --> 00:09:22,720 Speaker 2: and not think in your right mind while you're around levers. 162 00:09:22,800 --> 00:09:24,160 Speaker 3: That could do a lot of damage. 163 00:09:24,520 --> 00:09:28,439 Speaker 1: Yeah, Look for Stephen Miller, the answer is always racism. 164 00:09:28,800 --> 00:09:32,280 Speaker 1: It's always right. So what he's really saying. 165 00:09:32,280 --> 00:09:34,480 Speaker 3: Real hammer and nail scenario, right. 166 00:09:34,760 --> 00:09:37,640 Speaker 1: So what he's really saying is I just want to 167 00:09:37,720 --> 00:09:41,600 Speaker 1: use the drug stuff as a way to try to 168 00:09:41,640 --> 00:09:45,400 Speaker 1: go to war with Mexico. So the point is that 169 00:09:45,440 --> 00:09:49,200 Speaker 1: the worries about drugs, the calls are coming from in 170 00:09:49,280 --> 00:09:54,520 Speaker 1: the administration, and there we go. So look, and you know, 171 00:09:54,640 --> 00:09:58,360 Speaker 1: I mean, I think when you look back at Elon's behavior, 172 00:09:58,920 --> 00:10:02,040 Speaker 1: this is not a person who behaved in a rational way. 173 00:10:02,440 --> 00:10:07,280 Speaker 1: So you know from the chainsaw on stage, by the way, 174 00:10:07,320 --> 00:10:09,960 Speaker 1: he was holding the chainsaw wrong. It turns out I'm 175 00:10:09,960 --> 00:10:14,079 Speaker 1: not a chainsaw ficial, but yeah, he was holding it wrong. 176 00:10:14,240 --> 00:10:17,000 Speaker 1: I'm not. I know, you're shocked to hear that because 177 00:10:17,040 --> 00:10:20,000 Speaker 1: of all the time I spend chainsawing, But I actually 178 00:10:20,040 --> 00:10:23,040 Speaker 1: am not a chainsaw person. But yeah, I mean he 179 00:10:23,120 --> 00:10:25,400 Speaker 1: was holding the chain you know, they're just at every point. 180 00:10:25,440 --> 00:10:29,960 Speaker 1: And also you know all of the children, the many, many, 181 00:10:30,000 --> 00:10:31,800 Speaker 1: many children, you know. 182 00:10:32,520 --> 00:10:35,160 Speaker 2: Yeah, it brings us back to the days of the 183 00:10:35,200 --> 00:10:39,360 Speaker 2: White House prescription scandal being a kind of lighter, lighter thing. 184 00:10:39,600 --> 00:10:42,560 Speaker 1: Yes, yes, well, and these are the people who were 185 00:10:42,679 --> 00:10:47,839 Speaker 1: so obsessed with Hunter Biden's laptop and drugs. All of 186 00:10:47,880 --> 00:10:55,600 Speaker 1: a sudden, those people are now defending Elon. Gee, here's 187 00:10:55,640 --> 00:10:58,680 Speaker 1: a contributor to the nation and the host of the 188 00:10:58,800 --> 00:11:04,760 Speaker 1: time of Monster. Welcome, Welcome, Welcome to fast politics. Get here. 189 00:11:05,360 --> 00:11:07,120 Speaker 1: Always good to be on the proneground. I don't know. 190 00:11:07,240 --> 00:11:09,560 Speaker 1: There was so much news this morning. I was like 191 00:11:09,640 --> 00:11:13,040 Speaker 1: in the car reading between I'm not driving because nobody 192 00:11:13,040 --> 00:11:15,880 Speaker 1: ever loves me drive because everybody's mean to me. But 193 00:11:16,120 --> 00:11:18,240 Speaker 1: I don't even know where to start, right? Do we 194 00:11:18,320 --> 00:11:23,120 Speaker 1: start with that Elon Musk New York Times he's got 195 00:11:23,400 --> 00:11:26,600 Speaker 1: bladder problems from ketamine. I mean, is that where we start? 196 00:11:27,640 --> 00:11:27,880 Speaker 3: Yeah? 197 00:11:27,920 --> 00:11:31,240 Speaker 4: Well, I mean I had a kind of like, I've 198 00:11:31,280 --> 00:11:33,960 Speaker 4: been actually thinking about writing about this for a while now, 199 00:11:34,240 --> 00:11:37,120 Speaker 4: and I guess this article gives me a good occasion too, 200 00:11:37,480 --> 00:11:42,200 Speaker 4: because the Trump administration is on drugs, not in a 201 00:11:42,240 --> 00:11:45,200 Speaker 4: good way. There's a kind of a lot of substance 202 00:11:45,200 --> 00:11:46,959 Speaker 4: of use. And it's kind of curious because, I mean, 203 00:11:47,200 --> 00:11:50,280 Speaker 4: the wrap on Trump was always like, well, his older 204 00:11:50,280 --> 00:11:54,560 Speaker 4: brother was an alcoholic. He wasn't like people who drink 205 00:11:54,600 --> 00:11:56,960 Speaker 4: and whatnot. And I don't know, he's sort of in 206 00:11:57,040 --> 00:12:00,080 Speaker 4: his yellow face because like it seems like you have 207 00:12:00,120 --> 00:12:02,720 Speaker 4: to have uh, the you know, like, hey, heck Xeth 208 00:12:03,280 --> 00:12:04,199 Speaker 4: serious alcoholic. 209 00:12:04,280 --> 00:12:04,840 Speaker 3: Who's the other one? 210 00:12:04,920 --> 00:12:09,640 Speaker 1: Judge a judge, box of wine. Judge Judge Pirow. 211 00:12:09,559 --> 00:12:14,880 Speaker 4: Yeah, exactly exactly. She said, you're normally like the human response, 212 00:12:14,920 --> 00:12:17,960 Speaker 4: you know, like very sympathetic. You know, they should be 213 00:12:18,000 --> 00:12:19,760 Speaker 4: doing it, but like, you know, should you be in 214 00:12:19,840 --> 00:12:21,600 Speaker 4: charge of the Pentagon while. 215 00:12:21,360 --> 00:12:22,560 Speaker 1: You're working on these issues? 216 00:12:23,240 --> 00:12:28,559 Speaker 4: I know, necessarily no, but it actually and I think 217 00:12:28,559 --> 00:12:31,040 Speaker 4: there's a couple of things going on here, which is, 218 00:12:31,080 --> 00:12:35,360 Speaker 4: I think that people mistakenly think of drugs as like 219 00:12:35,440 --> 00:12:39,840 Speaker 4: this hippie left wing thing, right, but in Silicon Valley, 220 00:12:40,120 --> 00:12:43,400 Speaker 4: like sort of performance enhancement, drugs have become a big thing, 221 00:12:43,880 --> 00:12:46,600 Speaker 4: like ketamine. Uh, And it's all a part of you know, 222 00:12:46,679 --> 00:12:50,280 Speaker 4: this kind of like culture of neoliberal competition and you 223 00:12:50,360 --> 00:12:52,120 Speaker 4: have to be one step ahead and you have to 224 00:12:52,520 --> 00:12:54,960 Speaker 4: you know, like and then also their faith and technology. 225 00:12:55,000 --> 00:12:56,360 Speaker 4: Do they think that these things will make to us 226 00:12:56,400 --> 00:13:00,640 Speaker 4: a brainiac's super rain that's faster than everyone everyone else? 227 00:13:00,679 --> 00:13:02,880 Speaker 4: And it actual has a long kind of history on 228 00:13:02,920 --> 00:13:05,960 Speaker 4: the right, going back to the nineteen fifties. Brian Doherty 229 00:13:06,000 --> 00:13:08,800 Speaker 4: has a great book on the radicals for Capitalism, on 230 00:13:08,840 --> 00:13:11,480 Speaker 4: the libertarian movement, and he basically shows in the fifties 231 00:13:11,559 --> 00:13:13,839 Speaker 4: or already, these businessmen who are like, you know, they 232 00:13:13,840 --> 00:13:17,720 Speaker 4: wanted to cut taxes, real hardcore republicans. But you know, 233 00:13:17,880 --> 00:13:20,680 Speaker 4: we're also doing a lot of experimentation with LSD and 234 00:13:20,880 --> 00:13:23,640 Speaker 4: other things. It's easily like it's part of this culture 235 00:13:23,640 --> 00:13:26,760 Speaker 4: of individualism. And also they think that they're superman. 236 00:13:27,000 --> 00:13:29,559 Speaker 1: Oh yeah, and I want to talk about this because 237 00:13:29,559 --> 00:13:32,920 Speaker 1: it's so interesting. Like Trump one point oh, you and 238 00:13:32,960 --> 00:13:36,400 Speaker 1: I both have been writing about this. Yeah forever, right, 239 00:13:36,520 --> 00:13:40,000 Speaker 1: I feel like we've fucking aged so much, you know, 240 00:13:40,440 --> 00:13:43,400 Speaker 1: Trump one point oh. 241 00:13:43,440 --> 00:13:45,920 Speaker 4: I have to say, I'm only like like you as 242 00:13:45,960 --> 00:13:48,199 Speaker 4: you look like ten years younger than when I first 243 00:13:48,440 --> 00:13:51,720 Speaker 4: met you. I feel that there's a year like ver veritable, 244 00:13:51,840 --> 00:13:54,880 Speaker 4: dury and gray, that there's a painting in that closet 245 00:13:54,920 --> 00:13:59,640 Speaker 4: behind you that's rapidly agent. Yes, yeah, yeah, you're keeping 246 00:13:59,679 --> 00:14:00,640 Speaker 4: up your spirit of youth. 247 00:14:00,800 --> 00:14:05,760 Speaker 1: Oh, thank you with botox and fillers. But that's fine. Yes, 248 00:14:06,520 --> 00:14:10,240 Speaker 1: but Trump one point oh, grown ups in the room, Yes, 249 00:14:10,760 --> 00:14:15,360 Speaker 1: Stom but still a lot of damage. But but disdain 250 00:14:15,559 --> 00:14:19,760 Speaker 1: from from Silicon Valley Trump two point zero. Silicon Valley 251 00:14:19,800 --> 00:14:24,360 Speaker 1: decides we can buy this guy pretty cheap. Let's go. 252 00:14:24,760 --> 00:14:27,800 Speaker 4: Yeah. No, that I think that's that is a large 253 00:14:27,840 --> 00:14:30,600 Speaker 4: part of the story. I think it's also that Trump 254 00:14:30,640 --> 00:14:33,960 Speaker 4: felt burned by both the loss of the election and 255 00:14:34,000 --> 00:14:37,480 Speaker 4: then some of the establishment blowback, and also the fact 256 00:14:37,480 --> 00:14:40,280 Speaker 4: that visually everyone that worked for his first administration with 257 00:14:40,440 --> 00:14:43,960 Speaker 4: a book saying this guy's a psychopath should be power. 258 00:14:44,280 --> 00:14:47,960 Speaker 4: So he decided, you know, like that it's the second 259 00:14:47,960 --> 00:14:50,520 Speaker 4: time around. You know, I'm not gonna go like listen 260 00:14:50,680 --> 00:14:53,040 Speaker 4: to Mitch McConnell as to who I should put in 261 00:14:53,040 --> 00:14:53,520 Speaker 4: the pensagon. 262 00:14:53,600 --> 00:14:54,400 Speaker 1: I'm just gonna try. 263 00:14:54,280 --> 00:14:57,640 Speaker 4: Him, you know, like the whoever is like kisses my 264 00:14:57,720 --> 00:15:00,240 Speaker 4: ass the most and we'll like And also all these 265 00:15:00,240 --> 00:15:04,400 Speaker 4: hardcore ideologs who were radicalized along with Trump, who you know, like, 266 00:15:05,720 --> 00:15:08,160 Speaker 4: so it is it is a very and we reach 267 00:15:08,240 --> 00:15:10,320 Speaker 4: a point where, like, I mean, the other bit of 268 00:15:10,400 --> 00:15:12,760 Speaker 4: news which ties in with this is like Trump on 269 00:15:13,320 --> 00:15:15,640 Speaker 4: the Federalist Society ran the show. They were the ones 270 00:15:15,800 --> 00:15:18,520 Speaker 4: we're making all the judicial appointments, and now Trump is 271 00:15:18,520 --> 00:15:21,080 Speaker 4: finding that some of those judges are not as much 272 00:15:21,120 --> 00:15:23,760 Speaker 4: in his pockets. Yes they should be, yes, And so 273 00:15:23,800 --> 00:15:27,240 Speaker 4: he's just just like post about Leonard Leo saying, you know, 274 00:15:27,320 --> 00:15:31,080 Speaker 4: he's a sleezebag who hates America in his own way, 275 00:15:31,160 --> 00:15:33,360 Speaker 4: and you know, like this is like your cossack, let 276 00:15:33,400 --> 00:15:35,800 Speaker 4: them flight because Leonard Deal is one of the most 277 00:15:35,840 --> 00:15:37,640 Speaker 4: evil men in America. 278 00:15:37,920 --> 00:15:40,640 Speaker 1: Yeah, yes, but not for the reasons. 279 00:15:40,320 --> 00:15:41,280 Speaker 3: That Trump thinks. 280 00:15:41,640 --> 00:15:44,240 Speaker 1: Right. So this is the breaking news is that today 281 00:15:44,840 --> 00:15:48,120 Speaker 1: this this podcast will air tomorrow on Saturday, but we'll 282 00:15:48,160 --> 00:15:50,440 Speaker 1: still be talking about this because it's so stupid, and 283 00:15:50,480 --> 00:15:52,160 Speaker 1: I also want the record to show that we are 284 00:15:52,240 --> 00:15:55,560 Speaker 1: laughing to keep from crying. Personally, I am as upset 285 00:15:55,600 --> 00:15:58,560 Speaker 1: as I've ever been about the state of American It's terrible, 286 00:15:59,200 --> 00:16:02,760 Speaker 1: I mean, right, but Leonard Leo, I want to go 287 00:16:02,800 --> 00:16:06,680 Speaker 1: into this because Leonard leon really is incredibly responsible for 288 00:16:06,840 --> 00:16:10,440 Speaker 1: everything we're going through right now. Donald J. Trump, on 289 00:16:10,600 --> 00:16:14,480 Speaker 1: truth social a very mad We could read some of 290 00:16:14,520 --> 00:16:17,560 Speaker 1: the truth, but basically the net net of it is 291 00:16:17,640 --> 00:16:20,960 Speaker 1: he's very mad at Leonard Leo. We think this is 292 00:16:21,000 --> 00:16:24,640 Speaker 1: about the tariffs and the case that Leonard Leo's group 293 00:16:24,720 --> 00:16:28,960 Speaker 1: is bringing with the surviving Koch brother about where they're 294 00:16:29,000 --> 00:16:32,640 Speaker 1: going to take away tariff authority from Trump because Trump 295 00:16:32,720 --> 00:16:35,520 Speaker 1: is a mad king and he is really fucking up 296 00:16:35,680 --> 00:16:36,800 Speaker 1: the American economy. 297 00:16:37,840 --> 00:16:39,760 Speaker 4: Yeah, no, that's right, and I think there's a couple 298 00:16:39,760 --> 00:16:42,640 Speaker 4: of other issues as well, which yeah, please. Leonard Leo 299 00:16:42,720 --> 00:16:45,360 Speaker 4: also had helped appoint a lot of Trump judges from 300 00:16:45,400 --> 00:16:48,920 Speaker 4: the first term, and some of these judges are the 301 00:16:48,920 --> 00:16:51,280 Speaker 4: ones that are flitting against Trump. And so Trump does 302 00:16:51,280 --> 00:16:53,400 Speaker 4: feel this is a great portrayal because you know, he 303 00:16:53,440 --> 00:16:55,920 Speaker 4: appointed those judges with the idea that they give him 304 00:16:55,920 --> 00:16:58,840 Speaker 4: whatever he wants. But Leonard Leo to backtrack a little bit. 305 00:16:58,840 --> 00:17:01,080 Speaker 4: I mean, like obviously, you know, going back to Roe v. 306 00:17:01,200 --> 00:17:03,960 Speaker 4: Wade and the Warren Courts, the courts were a big 307 00:17:04,280 --> 00:17:06,280 Speaker 4: kind of center for the right wing that they thought 308 00:17:06,280 --> 00:17:08,160 Speaker 4: they had to take back the courts. And Leonard Leo 309 00:17:08,520 --> 00:17:10,560 Speaker 4: with the Federal Society was the guy that came up 310 00:17:10,560 --> 00:17:13,160 Speaker 4: with the strategy. And it came up with the strategy 311 00:17:13,200 --> 00:17:16,760 Speaker 4: partially because initially they had problems, like they would nominate 312 00:17:16,800 --> 00:17:20,640 Speaker 4: a Republicans would nominate someone like Sandra Day O'Connor or 313 00:17:21,040 --> 00:17:24,960 Speaker 4: justice suitor, and they would be conservative on some economic stuff, 314 00:17:24,960 --> 00:17:27,840 Speaker 4: but they would still uphold Roe v. Wade right, they 315 00:17:27,840 --> 00:17:32,000 Speaker 4: would not go that extra mile. So the Federal Society 316 00:17:32,040 --> 00:17:35,240 Speaker 4: was basically designed to make sure that this does not happen. 317 00:17:35,560 --> 00:17:38,240 Speaker 4: And what they did was they created a huge, you know, 318 00:17:38,359 --> 00:17:42,159 Speaker 4: like multimillion dollar industry within the legal system where they 319 00:17:42,160 --> 00:17:47,439 Speaker 4: would I call it the legal grooming project. Would they 320 00:17:47,480 --> 00:17:51,959 Speaker 4: would take these very impressionable young adults who were in 321 00:17:52,040 --> 00:17:55,119 Speaker 4: law school, and they would show them that if you 322 00:17:55,240 --> 00:17:58,760 Speaker 4: joined the Federal Society, you could suddenly get be an 323 00:17:58,760 --> 00:18:01,840 Speaker 4: intern at top law firms and at the Supreme Court, 324 00:18:02,320 --> 00:18:04,760 Speaker 4: and they would pick up people like the people that 325 00:18:04,800 --> 00:18:07,840 Speaker 4: they picked up were like, you know, Brett Cavanaugh, Amy Coney, 326 00:18:07,880 --> 00:18:12,640 Speaker 4: Barrett Gorshak and others at Clarence Thomas and hook them 327 00:18:12,720 --> 00:18:15,280 Speaker 4: up with this legal system and make sure that you 328 00:18:15,359 --> 00:18:17,720 Speaker 4: have these people who are like in the mafia, they're 329 00:18:17,760 --> 00:18:20,680 Speaker 4: made men and made women in the case of Colney Vera, 330 00:18:20,960 --> 00:18:22,879 Speaker 4: that they are you know, they'll be loyal to the 331 00:18:22,920 --> 00:18:26,680 Speaker 4: team more than the Constitution. He got to the point where, 332 00:18:26,800 --> 00:18:29,760 Speaker 4: like Leonard Leo was basically the one picking judges both 333 00:18:29,840 --> 00:18:33,840 Speaker 4: under Bush Junior and under Crump. And this all worked 334 00:18:33,840 --> 00:18:36,080 Speaker 4: out wonderfully for the Republicans that got you know, they 335 00:18:36,119 --> 00:18:39,960 Speaker 4: got Row overturned, they got you know, citizens United, a 336 00:18:40,000 --> 00:18:43,840 Speaker 4: lot of things. But now there's a kind of crisis 337 00:18:43,880 --> 00:18:47,240 Speaker 4: point with Trump because it's two different legal visions. Trump's 338 00:18:47,320 --> 00:18:50,320 Speaker 4: legal vision is I'm the king, right, This is like 339 00:18:50,400 --> 00:18:52,840 Speaker 4: mel Breson History of the World. It's good to be 340 00:18:52,920 --> 00:18:55,520 Speaker 4: the king. You get to do what you want. You know, Now, 341 00:18:55,760 --> 00:18:58,920 Speaker 4: the Federal Society they still have a very right wing position, 342 00:18:59,359 --> 00:19:02,480 Speaker 4: but it's this is a movement institution. Their thing is 343 00:19:02,520 --> 00:19:05,600 Speaker 4: we want our judges who are going to overturn any 344 00:19:05,680 --> 00:19:09,320 Speaker 4: laws that are social welfare, are going to overturn Biden's thing. 345 00:19:09,480 --> 00:19:11,479 Speaker 4: And so for them it's very important that the courts 346 00:19:11,760 --> 00:19:15,280 Speaker 4: be an independent power unit. And also that Trump doesn't 347 00:19:15,280 --> 00:19:18,480 Speaker 4: do like, you know, anything that goes against the free market, 348 00:19:18,560 --> 00:19:21,680 Speaker 4: like the tariffs, and so this has become a kind 349 00:19:21,720 --> 00:19:25,360 Speaker 4: of division point, so that you know, we now have 350 00:19:25,440 --> 00:19:27,679 Speaker 4: these two very bad factions. 351 00:19:28,160 --> 00:19:28,280 Speaker 1: Uh. 352 00:19:28,440 --> 00:19:30,879 Speaker 4: And you know when I read Trump's tr social post 353 00:19:31,160 --> 00:19:34,080 Speaker 4: saying that Leonard Leo is a sleeve bag, it was, 354 00:19:34,119 --> 00:19:37,400 Speaker 4: you know, you know, that great meme, you know, heartbreaking. 355 00:19:37,480 --> 00:19:40,680 Speaker 4: Worst person in the world makes a good fight, worst 356 00:19:40,680 --> 00:19:42,480 Speaker 4: person you know makes a good fight. 357 00:19:43,240 --> 00:19:46,720 Speaker 1: So I think one of the central tensions of this 358 00:19:47,240 --> 00:19:50,920 Speaker 1: problem for Donald Trump is that Trump has two justices 359 00:19:51,000 --> 00:19:55,040 Speaker 1: who are in the tank for him, Thomas and Alito, 360 00:19:55,280 --> 00:19:58,320 Speaker 1: and anything he wants, Thomas and Alito will sign off 361 00:19:58,359 --> 00:20:02,000 Speaker 1: on the other three justice is it's more complicated, and 362 00:20:02,040 --> 00:20:06,560 Speaker 1: then you know, and then there's Roberts, who again often 363 00:20:06,600 --> 00:20:10,320 Speaker 1: will sign off with him, and Thomas and Alito are 364 00:20:10,680 --> 00:20:15,960 Speaker 1: very tight with Leonard Leo. Yes, in fact, there's all 365 00:20:16,080 --> 00:20:20,080 Speaker 1: of this reporting about Tom. You know, Thomas is basically 366 00:20:20,119 --> 00:20:23,240 Speaker 1: Alito has bought his house, he bought his mother's house, 367 00:20:23,280 --> 00:20:24,000 Speaker 1: He's made Yeah. 368 00:20:24,240 --> 00:20:26,000 Speaker 4: Leo was the guy who set him up with what's 369 00:20:26,080 --> 00:20:32,760 Speaker 4: this guy named crow the right, Remember Harley Crowe bought Yeah, 370 00:20:33,240 --> 00:20:36,119 Speaker 4: he's the one who did the vocations and yeah, and 371 00:20:36,119 --> 00:20:40,040 Speaker 4: then literally also got a job for Ginny Thomas. He 372 00:20:40,119 --> 00:20:42,480 Speaker 4: got her a job which is kind of hidden the 373 00:20:42,760 --> 00:20:46,480 Speaker 4: financial sources up. So totally corrupt guy. And this is 374 00:20:46,520 --> 00:20:48,560 Speaker 4: actually going to be a kind of juncture point or 375 00:20:48,640 --> 00:20:51,719 Speaker 4: this is a possible division, and it's kind of complicated 376 00:20:51,760 --> 00:20:54,040 Speaker 4: for those of us, like you know, who are not 377 00:20:54,920 --> 00:20:58,359 Speaker 4: I mean, I just sort of taking let them fight attitude, 378 00:20:58,440 --> 00:21:02,160 Speaker 4: like the extend the judges are stopping Trump. That's all 379 00:21:02,200 --> 00:21:06,320 Speaker 4: to the good. But my colleague at the Nation, Elie Mastelle, 380 00:21:06,720 --> 00:21:08,640 Speaker 4: makes a kind of good point, which is that some 381 00:21:08,720 --> 00:21:12,520 Speaker 4: of the Trump's judges, just because they're so incompetent, are 382 00:21:12,560 --> 00:21:15,800 Speaker 4: actually like in the long term better because they'll make 383 00:21:15,920 --> 00:21:19,119 Speaker 4: like really bad decisions that other judges like higher up, 384 00:21:19,359 --> 00:21:23,680 Speaker 4: will overturn. Because whereas a Letyard Leo, I mean, these 385 00:21:23,680 --> 00:21:26,400 Speaker 4: are people who work within the system and know how 386 00:21:26,440 --> 00:21:29,760 Speaker 4: to maximize what they want out of the system. 387 00:21:30,359 --> 00:21:34,200 Speaker 1: Right. It's the difference between a Judge Amy Coney Barrett, 388 00:21:34,680 --> 00:21:39,960 Speaker 1: who is very smart but overturns Roby Wade very ideological. 389 00:21:40,240 --> 00:21:44,960 Speaker 1: Though I do think recusing herself from that decision with 390 00:21:45,080 --> 00:21:49,399 Speaker 1: the religious schools because it was Notre Dame involved, and 391 00:21:49,440 --> 00:21:52,280 Speaker 1: she was a law professor at Notre Dame. She is 392 00:21:52,600 --> 00:21:56,399 Speaker 1: very moral. Yeah, Like, I hard to imagine Alito and 393 00:21:56,480 --> 00:21:58,040 Speaker 1: Thomas recusing themselves. 394 00:21:58,080 --> 00:22:00,800 Speaker 4: Oh they haven't, they haven't. The al there's the cases 395 00:22:00,800 --> 00:22:03,439 Speaker 4: where you know there are people who gave them money 396 00:22:03,560 --> 00:22:04,480 Speaker 4: are involved, and. 397 00:22:04,359 --> 00:22:07,840 Speaker 1: Then they're just like, yeah, So I do think she 398 00:22:08,320 --> 00:22:12,520 Speaker 1: but she is very smart and very ideological and and newly, 399 00:22:13,359 --> 00:22:15,760 Speaker 1: you know, you listen to her and you think, oh wow, 400 00:22:15,840 --> 00:22:19,680 Speaker 1: we're in a lot of trouble, whereas someone like Judge 401 00:22:19,720 --> 00:22:24,240 Speaker 1: A Lean Cannon, who I mean, she also has delivered 402 00:22:24,280 --> 00:22:27,359 Speaker 1: for Trump, but she's clearly not a high level thinker 403 00:22:27,680 --> 00:22:28,280 Speaker 1: the same one. 404 00:22:28,320 --> 00:22:32,000 Speaker 4: No, No, yeah, well, I mean you should point that. 405 00:22:32,040 --> 00:22:33,959 Speaker 4: I want to reason I brought up because I think 406 00:22:33,960 --> 00:22:36,480 Speaker 4: it's a counterint point, but I think it's an interesting 407 00:22:36,480 --> 00:22:39,640 Speaker 4: one that Ellie knows the law as well as anyone 408 00:22:40,560 --> 00:22:44,679 Speaker 4: is that like actually in terms of like ultimately overturning 409 00:22:44,720 --> 00:22:47,760 Speaker 4: this stuff, like to have some of those crazy Trump judges, 410 00:22:48,440 --> 00:22:51,040 Speaker 4: even though they'll go along with them, like their stuff 411 00:22:51,240 --> 00:22:53,840 Speaker 4: is like so badly written and so badly thought that 412 00:22:53,880 --> 00:22:56,440 Speaker 4: it's going to force the Supreme Court and others to 413 00:22:56,920 --> 00:23:00,360 Speaker 4: overturn it. So it's an interesting kind of me's It's 414 00:23:00,400 --> 00:23:03,960 Speaker 4: a terrible dilemaivion, like like do you want to die 415 00:23:04,160 --> 00:23:07,040 Speaker 4: of like liver cancer or do you want to die 416 00:23:07,119 --> 00:23:08,800 Speaker 4: of throat cancer? 417 00:23:09,000 --> 00:23:12,440 Speaker 1: I don't know, yeah, yeah, yeah, yeah, no no. And 418 00:23:12,760 --> 00:23:14,680 Speaker 1: I think that's a really good point. I also think 419 00:23:15,040 --> 00:23:20,280 Speaker 1: that as we are in this bizarre moment in American life, 420 00:23:20,280 --> 00:23:25,199 Speaker 1: well all our democratic institutions are really under attack. You know, 421 00:23:25,320 --> 00:23:28,159 Speaker 1: if we get through this thing, it will be a 422 00:23:28,200 --> 00:23:29,160 Speaker 1: lot of luck. 423 00:23:29,280 --> 00:23:30,560 Speaker 4: Well a lot of luck. But I mean, the other 424 00:23:30,600 --> 00:23:32,800 Speaker 4: point I would make about all the court staff is 425 00:23:33,320 --> 00:23:39,320 Speaker 4: like what is missing in all this equation is Congress, right, Like, yeah, 426 00:23:39,440 --> 00:23:43,199 Speaker 4: under the American constitution like checks and balances, Sure, the 427 00:23:43,240 --> 00:23:45,320 Speaker 4: courts are supposed to be there, but the courts actually 428 00:23:45,320 --> 00:23:47,359 Speaker 4: don't have a lot of power. And this notorious cases 429 00:23:47,600 --> 00:23:50,520 Speaker 4: where you have presidents like you know, Andrew Jackson has said, well, 430 00:23:50,720 --> 00:23:53,680 Speaker 4: the judges made their decision, let them enforce. 431 00:23:53,400 --> 00:23:53,879 Speaker 3: It, right. 432 00:23:54,200 --> 00:23:57,560 Speaker 4: But the institution that could actually like actually fight back 433 00:23:57,560 --> 00:24:01,399 Speaker 4: against the president is Congress. And there's like two things. 434 00:24:01,440 --> 00:24:05,480 Speaker 4: One is that the Republicans are totally on board with Trump, 435 00:24:05,520 --> 00:24:08,679 Speaker 4: even when they go against stuff that their donor class 436 00:24:08,720 --> 00:24:13,800 Speaker 4: wants and they themselves think, and so there's no checks 437 00:24:13,800 --> 00:24:17,399 Speaker 4: from the Republicans. And the Democrats, you know, like with 438 00:24:17,520 --> 00:24:21,000 Speaker 4: varying degrees, have taken a let's play dead strategy. 439 00:24:20,960 --> 00:24:24,840 Speaker 5: Yeah, so so Congress is the missing equation, like yeah, 440 00:24:25,040 --> 00:24:26,440 Speaker 5: and then I'll catch you. 441 00:24:26,600 --> 00:24:29,240 Speaker 4: Exactly because I swear about this. There's a real problem 442 00:24:29,280 --> 00:24:33,840 Speaker 4: now with threats to judges, right, like no problem. Yeah, 443 00:24:33,840 --> 00:24:37,040 Speaker 4: you saw the article where it's like dozens of judges 444 00:24:37,080 --> 00:24:40,080 Speaker 4: got these pizza deliveries and it's all under the name 445 00:24:40,200 --> 00:24:42,119 Speaker 4: of this the son of a judge who had been 446 00:24:42,200 --> 00:24:44,920 Speaker 4: killed by litigant and this is clearly a threat. It's 447 00:24:44,960 --> 00:24:47,320 Speaker 4: like it's a mafia thing. We know where you live, 448 00:24:47,440 --> 00:24:50,639 Speaker 4: right yea. And judges are very worried because they're getting 449 00:24:50,640 --> 00:24:53,840 Speaker 4: more and more threats, especially with like Trump saying like, 450 00:24:53,880 --> 00:24:55,800 Speaker 4: you know, impeach the judges get rid of the judges 451 00:24:56,840 --> 00:25:02,000 Speaker 4: and the inst titution that protects the federal judges. Below 452 00:25:02,040 --> 00:25:05,760 Speaker 4: the Supreme Court is the US Marshall, which is controlled 453 00:25:05,760 --> 00:25:08,959 Speaker 4: by the Attorney General, you know, like Pam Bondy by Trump. 454 00:25:09,200 --> 00:25:12,200 Speaker 4: So so so judges like now are pushing it to 455 00:25:12,480 --> 00:25:15,400 Speaker 4: they want Congress to like remove the US Marshal from 456 00:25:15,400 --> 00:25:17,120 Speaker 4: the control of the White House and to make an 457 00:25:17,160 --> 00:25:20,520 Speaker 4: independent police force. They don't think that like, you know, 458 00:25:20,560 --> 00:25:23,639 Speaker 4: the president that's threatening them is gonna should be running 459 00:25:23,640 --> 00:25:26,520 Speaker 4: the police force that protects them, right, Yeah, it's like 460 00:25:26,560 --> 00:25:28,840 Speaker 4: putting a mafia boss in charge of the cops. 461 00:25:29,320 --> 00:25:30,800 Speaker 1: Yeah yeah, so so. 462 00:25:30,960 --> 00:25:33,720 Speaker 4: But again Congress is missing and I'll give Corey Booker 463 00:25:33,800 --> 00:25:36,480 Speaker 4: credit because he's the one he's actually introduced the bill 464 00:25:36,760 --> 00:25:39,320 Speaker 4: to do exactly that, to like you know, like beef 465 00:25:39,400 --> 00:25:42,520 Speaker 4: up security for judges and to make the US Marshals independent. 466 00:25:43,320 --> 00:25:46,000 Speaker 4: And I think more Democrats need to be on this, 467 00:25:46,080 --> 00:25:48,480 Speaker 4: and I think he's actually a winning issue, Like I 468 00:25:48,520 --> 00:25:51,879 Speaker 4: think that Americans want check and balances. They understand the 469 00:25:51,960 --> 00:25:55,639 Speaker 4: danger and you really have to be out there. Uh 470 00:25:55,800 --> 00:25:58,520 Speaker 4: as for further midterm saying, you know, you give us 471 00:25:58,520 --> 00:26:01,040 Speaker 4: the House, you give us the Senate, protect the judges. 472 00:26:01,720 --> 00:26:04,760 Speaker 1: Yeah, and you know, I want to I think that's 473 00:26:04,800 --> 00:26:07,720 Speaker 1: totally right. I also to think so many of our 474 00:26:07,760 --> 00:26:11,000 Speaker 1: problems that we are having right now are because Congress 475 00:26:11,040 --> 00:26:15,480 Speaker 1: refuse to regulate anything. I'm going to tell a very 476 00:26:15,480 --> 00:26:19,760 Speaker 1: annoying story. I'm at a book party. A member of 477 00:26:19,920 --> 00:26:25,840 Speaker 1: Congress is complaining about how there is no fact checking 478 00:26:26,040 --> 00:26:29,920 Speaker 1: on social media, and I have a fork and want 479 00:26:29,960 --> 00:26:34,679 Speaker 1: to stab my eye out because I'm like, oh, I 480 00:26:34,760 --> 00:26:41,040 Speaker 1: wonder who could have done? Like they don't you know, 481 00:26:41,880 --> 00:26:44,560 Speaker 1: you're going to fucking regulate stuff or the world is 482 00:26:44,560 --> 00:26:47,760 Speaker 1: going to get ruined. Like this is how it is. Right. 483 00:26:48,160 --> 00:26:54,000 Speaker 1: Republicans don't like regulation ideologically, Democrats don't like regulation because 484 00:26:54,040 --> 00:26:55,320 Speaker 1: it's they have to work. 485 00:26:55,840 --> 00:26:58,480 Speaker 4: Yeah. Well, I think in particularly of a silicon value, 486 00:26:58,680 --> 00:27:02,000 Speaker 4: the Democrats unfortunately helped create this monster because they have 487 00:27:02,080 --> 00:27:04,639 Speaker 4: ties with Silicon Valley. Yes, they still take a lot 488 00:27:04,640 --> 00:27:07,400 Speaker 4: of money, and so things like crypto and social media 489 00:27:07,480 --> 00:27:10,320 Speaker 4: don't get regulated. And it is exactly I mean, that 490 00:27:10,480 --> 00:27:13,440 Speaker 4: is the institution that has really failed, and it's a 491 00:27:13,480 --> 00:27:16,680 Speaker 4: big problem, and it has become you know, like, it's 492 00:27:16,720 --> 00:27:19,280 Speaker 4: not surprising that so many members of Congress are old 493 00:27:19,359 --> 00:27:22,879 Speaker 4: and ailing and yeah, I think if if you're an 494 00:27:23,000 --> 00:27:26,240 Speaker 4: ordinary Democrat, I think that the main institution you should 495 00:27:26,240 --> 00:27:28,520 Speaker 4: be looking at thinking about where you can affect change 496 00:27:28,640 --> 00:27:31,679 Speaker 4: is Congress. And you have to sure be like, you know, 497 00:27:31,760 --> 00:27:34,560 Speaker 4: bothering your congressmen going to those town hell beatings, and 498 00:27:34,680 --> 00:27:38,119 Speaker 4: if they're not, if they're caving it to Silicon Valley, 499 00:27:38,560 --> 00:27:40,399 Speaker 4: you have to like primary them. You have to like 500 00:27:40,440 --> 00:27:43,439 Speaker 4: replace them with Democrats who will fight. I mean, especially 501 00:27:43,520 --> 00:27:44,800 Speaker 4: like I think there's a lot of these people in 502 00:27:44,880 --> 00:27:47,880 Speaker 4: blue districts. It was like New York and California, where 503 00:27:47,920 --> 00:27:49,920 Speaker 4: you know you could easily if you primary them, you're 504 00:27:49,920 --> 00:27:52,240 Speaker 4: going to get another Democrat who could be a better 505 00:27:52,280 --> 00:27:55,240 Speaker 4: Democrat than the stronger Democrat. So so Congress is a 506 00:27:55,280 --> 00:27:58,040 Speaker 4: real battlefield here for like, if we're going to fix 507 00:27:58,080 --> 00:27:59,960 Speaker 4: this thing, that's where the battle has. 508 00:28:00,640 --> 00:28:03,119 Speaker 1: I agree, And I also just think we need our 509 00:28:03,200 --> 00:28:09,399 Speaker 1: members of Congress to work. This is not you know, this, 510 00:28:09,400 --> 00:28:13,520 Speaker 1: this is their fucking jobs. And I get so angry 511 00:28:13,720 --> 00:28:17,800 Speaker 1: because I feel like the reason that Democrats are pulling 512 00:28:18,040 --> 00:28:22,200 Speaker 1: poorly is not because Republicans are doing great. It's because 513 00:28:22,240 --> 00:28:26,680 Speaker 1: Democrats are not doing enough, and that the people are 514 00:28:26,840 --> 00:28:31,639 Speaker 1: mad because they are, Like, your job is to take 515 00:28:31,720 --> 00:28:34,320 Speaker 1: care of us, to take care of those judges, to 516 00:28:34,760 --> 00:28:38,239 Speaker 1: do this fucking work. We don't care that you have 517 00:28:38,280 --> 00:28:42,200 Speaker 1: a book deal, We don't care that you have a podcast. 518 00:28:42,320 --> 00:28:46,240 Speaker 1: Nobody wants, you know. I mean, such a great example 519 00:28:46,400 --> 00:28:53,479 Speaker 1: of just wandering an opportunity to enact change, to you know, 520 00:28:53,720 --> 00:28:57,520 Speaker 1: do the stuff we need as Americans for us. And 521 00:28:57,600 --> 00:29:01,040 Speaker 1: I really do think these members of Congress have You know, 522 00:29:01,080 --> 00:29:05,440 Speaker 1: it's funny because I'm friends with this activist. He's an 523 00:29:05,480 --> 00:29:09,320 Speaker 1: activist among other things, and he has a whole theory 524 00:29:09,720 --> 00:29:14,200 Speaker 1: of the case that all members of Congress are just 525 00:29:14,360 --> 00:29:20,880 Speaker 1: incredibly selfish and obsessed with their own celebrity and unable, 526 00:29:20,960 --> 00:29:23,400 Speaker 1: you know, that they're just not in there for public service, 527 00:29:24,000 --> 00:29:27,840 Speaker 1: and we need to push our elected to be in 528 00:29:27,880 --> 00:29:29,000 Speaker 1: there for public service. 529 00:29:29,200 --> 00:29:31,680 Speaker 4: Sorry, yeah, yeah, I mean I think there's some of that. 530 00:29:31,760 --> 00:29:34,160 Speaker 4: I mean there's other issues. There's also the money factor. 531 00:29:35,240 --> 00:29:37,120 Speaker 4: You know that they have to be raising money, and 532 00:29:37,120 --> 00:29:38,960 Speaker 4: and I think that we need to really move to 533 00:29:39,000 --> 00:29:42,600 Speaker 4: a small donor model. The larger issues that they find 534 00:29:42,600 --> 00:29:45,280 Speaker 4: it easier to sort of punt and to like just 535 00:29:45,360 --> 00:29:47,680 Speaker 4: leave everything to either the president or the courts. And 536 00:29:47,960 --> 00:29:51,040 Speaker 4: this is a real problem. I think if American democracy 537 00:29:51,080 --> 00:29:54,360 Speaker 4: is going to be saved, I strongly feel Congress more 538 00:29:54,400 --> 00:29:57,000 Speaker 4: than the President's He's the battleground and that's where you 539 00:29:57,040 --> 00:29:58,120 Speaker 4: actually have to fix things. 540 00:29:58,720 --> 00:30:00,840 Speaker 1: Yeah yeah, yeah, yeah, I think that's right. 541 00:30:00,880 --> 00:30:02,960 Speaker 6: I think that's absolutely And we see that's the internal 542 00:30:03,000 --> 00:30:05,600 Speaker 6: battle of the Democratic Party where like any attempt to 543 00:30:05,680 --> 00:30:08,120 Speaker 6: reform to say, well, you know, some of these members 544 00:30:08,160 --> 00:30:11,040 Speaker 6: that are like ninety years old and dying, maybe they. 545 00:30:10,920 --> 00:30:13,880 Speaker 4: Should reside like like that resistance. 546 00:30:14,040 --> 00:30:16,840 Speaker 5: That's that's like, see, yeah, you know, when you raised 547 00:30:16,840 --> 00:30:18,880 Speaker 5: this stuff, you can attack like you're you're an ageist, 548 00:30:18,920 --> 00:30:23,320 Speaker 5: You're like, uh so I actually think that, like yeah, 549 00:30:23,360 --> 00:30:26,080 Speaker 5: I mean, but I also think that it's good that Democrats, 550 00:30:26,200 --> 00:30:29,160 Speaker 5: ordinary Democrats are mad at their own party and they're 551 00:30:29,200 --> 00:30:29,880 Speaker 5: mad at Congress. 552 00:30:29,920 --> 00:30:33,280 Speaker 4: I think that's where that is the pivot point at 553 00:30:33,280 --> 00:30:34,440 Speaker 4: which things can get better. 554 00:30:34,720 --> 00:30:37,160 Speaker 1: Yeah. Get here, Thank you, thank you, thank you. 555 00:30:37,720 --> 00:30:40,880 Speaker 4: Always great to be on the program. 556 00:30:41,080 --> 00:30:45,000 Speaker 1: Peggy flan Again is the Lieutenant governor of Minnesota and 557 00:30:45,040 --> 00:30:51,480 Speaker 1: a Democratic candidate for the Senate in Minnesota. Welcome Too 558 00:30:51,600 --> 00:30:52,600 Speaker 1: Fast Politics. 559 00:30:52,640 --> 00:30:55,080 Speaker 7: Peggy, thank you so much for having me. I'm happy 560 00:30:55,120 --> 00:30:55,560 Speaker 7: to be here. 561 00:30:55,880 --> 00:30:58,520 Speaker 1: I'm so happy to have you. We met each other 562 00:30:58,560 --> 00:31:01,640 Speaker 1: at the Democratic National Convention and I interviewed you there. 563 00:31:01,680 --> 00:31:05,120 Speaker 1: But because you are from the great sit of Minnesota, 564 00:31:05,360 --> 00:31:09,080 Speaker 1: you are the lieutenant governor. For my I feel like 565 00:31:09,120 --> 00:31:11,040 Speaker 1: he's my buddy, but I really feel like he's kind 566 00:31:11,040 --> 00:31:13,040 Speaker 1: of everybody's buddy. Tim Walls. 567 00:31:13,400 --> 00:31:16,920 Speaker 7: Yes, absolutely, I get to spend a lot of time 568 00:31:17,040 --> 00:31:19,920 Speaker 7: talking about Tim Walls and how great he is. And 569 00:31:20,080 --> 00:31:22,440 Speaker 7: you know it's part of the gig as being lieutenant governor. 570 00:31:22,680 --> 00:31:26,680 Speaker 1: But you, yourself, you have a really inspirational and important story. 571 00:31:26,720 --> 00:31:28,800 Speaker 1: So you know we have to do a Tim Walls 572 00:31:28,960 --> 00:31:31,640 Speaker 1: name check. But now tell me how you found yourself 573 00:31:31,640 --> 00:31:34,640 Speaker 1: in public service? Sure, so you know I didn't. 574 00:31:35,040 --> 00:31:38,280 Speaker 7: I didn't expect to be in public service as a 575 00:31:38,280 --> 00:31:41,080 Speaker 7: as a kid, I wanted to be a ballerina nurse, 576 00:31:41,360 --> 00:31:42,560 Speaker 7: which is exactly you. 577 00:31:42,520 --> 00:31:48,000 Speaker 1: Know what any ballerina nurses are. Yes, a really popular 578 00:31:48,600 --> 00:31:51,320 Speaker 1: career path. Yes, yeah, popular group. 579 00:31:51,520 --> 00:31:55,840 Speaker 7: But I spent my whole life, you know, growing up 580 00:31:55,880 --> 00:31:58,400 Speaker 7: in a family where you know, we felt like the 581 00:31:58,400 --> 00:32:01,480 Speaker 7: bottom could fall out at any moment, and I know 582 00:32:01,520 --> 00:32:02,440 Speaker 7: that there's a lot of. 583 00:32:02,440 --> 00:32:04,680 Speaker 1: Folks who feel that way. Can you explain to us 584 00:32:04,840 --> 00:32:07,320 Speaker 1: why you felt like that? Absolutely? 585 00:32:07,720 --> 00:32:10,520 Speaker 7: So I grew up with my mom, with a single 586 00:32:10,560 --> 00:32:14,680 Speaker 7: mom who was just amazing, and I grew up in 587 00:32:14,720 --> 00:32:17,880 Speaker 7: an apartment which we were able to move into because 588 00:32:17,920 --> 00:32:22,040 Speaker 7: of a Section eight housing voucher. The Childcare Assistance program 589 00:32:22,400 --> 00:32:25,440 Speaker 7: allowed my mom to go back to school and to 590 00:32:25,480 --> 00:32:29,520 Speaker 7: get her certificates in phlebotomy at Saint Kat's and helped 591 00:32:29,520 --> 00:32:32,640 Speaker 7: to lift our family into the middle class. But you know, 592 00:32:32,920 --> 00:32:36,800 Speaker 7: Medicaid was my healthcare as a kid who had really 593 00:32:36,840 --> 00:32:40,040 Speaker 7: severe asthma. It is how we paid the bills, how 594 00:32:40,080 --> 00:32:42,040 Speaker 7: we made sure that I had access to all the 595 00:32:42,080 --> 00:32:45,120 Speaker 7: medications that I needed, and sometimes it felt like I 596 00:32:45,200 --> 00:32:48,560 Speaker 7: was in the hospital more than I was out when 597 00:32:48,600 --> 00:32:51,640 Speaker 7: I was, you know, and coming up in elementary school. 598 00:32:52,280 --> 00:32:55,120 Speaker 7: And you know, finally snap or back in the day, 599 00:32:55,280 --> 00:32:58,200 Speaker 7: what we call the food stamps is what kept food 600 00:32:58,240 --> 00:33:01,640 Speaker 7: on our table for our family. Were really fortunate. These 601 00:33:01,640 --> 00:33:04,440 Speaker 7: public programs helped to support us. 602 00:33:05,240 --> 00:33:06,600 Speaker 1: But also, you. 603 00:33:06,520 --> 00:33:09,600 Speaker 7: Know, what we see happening right now, it certainly feels 604 00:33:09,640 --> 00:33:13,240 Speaker 7: really personal for myself, and I know it feels really 605 00:33:13,280 --> 00:33:16,240 Speaker 7: personal for folks all across the country. But I grew 606 00:33:16,320 --> 00:33:19,200 Speaker 7: up around women and strong women who just did the 607 00:33:19,280 --> 00:33:22,320 Speaker 7: damn thing. So you know, my aunties and my grandmas 608 00:33:22,360 --> 00:33:26,400 Speaker 7: who just led organizations and were you know, political organizers, 609 00:33:26,440 --> 00:33:29,240 Speaker 7: and so I just I saw that and never questioned 610 00:33:29,680 --> 00:33:32,840 Speaker 7: whether or not women were in leadership. But I spent 611 00:33:33,240 --> 00:33:37,040 Speaker 7: my college career studying child techology and American Indian studies. 612 00:33:37,480 --> 00:33:41,000 Speaker 7: I went into working for nonprofits and American Indian nonprofit 613 00:33:41,320 --> 00:33:46,680 Speaker 7: and saw firsthand how Native students and their families navigated 614 00:33:47,040 --> 00:33:50,080 Speaker 7: the public school system and it wasn't great and the 615 00:33:50,120 --> 00:33:52,800 Speaker 7: outcomes weren't great, and so I thought, you know, we 616 00:33:52,840 --> 00:33:55,440 Speaker 7: need to find somebody to run for the school board 617 00:33:55,760 --> 00:33:58,320 Speaker 7: and talk to a lot of folks, a lot of advocates, 618 00:33:58,320 --> 00:33:59,320 Speaker 7: a lot of leaders. 619 00:33:59,000 --> 00:33:59,720 Speaker 1: In the community. 620 00:33:59,760 --> 00:34:02,040 Speaker 7: And one day people turned around and they looked at 621 00:34:02,080 --> 00:34:04,040 Speaker 7: me and they said, why don't you do it? And 622 00:34:04,160 --> 00:34:08,319 Speaker 7: I was like, that's not what it meant, So be 623 00:34:08,320 --> 00:34:10,680 Speaker 7: careful what you asked for, I guess is the moral 624 00:34:10,680 --> 00:34:11,360 Speaker 7: of that story. 625 00:34:11,440 --> 00:34:12,040 Speaker 1: But I did. 626 00:34:12,120 --> 00:34:15,919 Speaker 7: I decided to run. I was twenty four, without any 627 00:34:16,000 --> 00:34:19,560 Speaker 7: kids in the district, but thought, you know, we need 628 00:34:19,600 --> 00:34:22,000 Speaker 7: to make sure that we have a voice at the 629 00:34:22,040 --> 00:34:25,680 Speaker 7: table and a diversity of voices. And so was elected 630 00:34:25,880 --> 00:34:30,080 Speaker 7: there and really enjoyed my time there, making sure that 631 00:34:30,360 --> 00:34:34,600 Speaker 7: community had a voice, and it learned an incredible just 632 00:34:34,600 --> 00:34:37,799 Speaker 7: an incredible amount of navigating these systems and how we 633 00:34:37,840 --> 00:34:40,680 Speaker 7: can make them more accessible for folks. And of course 634 00:34:40,719 --> 00:34:44,480 Speaker 7: at the same time was working in nonprofits for the 635 00:34:44,520 --> 00:34:48,279 Speaker 7: Council of Churches and then for a decade at Wellstone Action, 636 00:34:48,400 --> 00:34:50,799 Speaker 7: which is the nonprofit that grew out of the late 637 00:34:50,840 --> 00:34:54,560 Speaker 7: great Senator Paul Wellstone's campaign, which is incredible and where 638 00:34:54,600 --> 00:34:57,719 Speaker 7: I actually met Tim Walls, who at the time was 639 00:34:57,760 --> 00:35:02,160 Speaker 7: a teacher who this stream of running for Congress, and 640 00:35:02,520 --> 00:35:04,839 Speaker 7: you know, that then led me to be tapped by 641 00:35:04,880 --> 00:35:07,799 Speaker 7: Marian right Edelman, the head of the Children's Defense Fund, 642 00:35:08,080 --> 00:35:11,120 Speaker 7: to run Children's Defense Funds in Minnesota, where I got to, 643 00:35:11,600 --> 00:35:14,719 Speaker 7: you know, fight for family economic security and work to 644 00:35:14,760 --> 00:35:18,160 Speaker 7: move policies that were good for working families. And that 645 00:35:18,280 --> 00:35:21,640 Speaker 7: certainly just led to my time at the Minnesota Legislature, 646 00:35:22,000 --> 00:35:23,960 Speaker 7: and then was tapped to run with Tim Walls to 647 00:35:24,000 --> 00:35:27,279 Speaker 7: be his Lieutenant governor, always focusing on these issues of 648 00:35:27,320 --> 00:35:30,320 Speaker 7: family economic security, and so that is I think the 649 00:35:30,440 --> 00:35:33,000 Speaker 7: through line from when I was a kid, you know, 650 00:35:33,120 --> 00:35:37,480 Speaker 7: to now just knowing that there are so many folks 651 00:35:37,719 --> 00:35:41,480 Speaker 7: who are experiencing just a lot of fear and insecurity, 652 00:35:41,719 --> 00:35:44,719 Speaker 7: and it doesn't have to be that way, and we've 653 00:35:44,760 --> 00:35:46,960 Speaker 7: got got more work to do. So I'm excited to 654 00:35:47,040 --> 00:35:49,359 Speaker 7: try to big network that I've done throughout my entire 655 00:35:49,400 --> 00:35:51,320 Speaker 7: career to Washington. 656 00:35:51,560 --> 00:35:53,920 Speaker 1: I wonder if you could talk about you grew up 657 00:35:54,239 --> 00:35:56,239 Speaker 1: somewhat on a rez, right. 658 00:35:56,600 --> 00:35:58,640 Speaker 7: No, I did grow up on the res, but my 659 00:35:58,800 --> 00:36:01,840 Speaker 7: dad was on the res. I'm kind of the perfect 660 00:36:01,840 --> 00:36:04,239 Speaker 7: combination of my parents. So I'll say that. You know, 661 00:36:04,320 --> 00:36:06,560 Speaker 7: my mom, right out of high school, she went and 662 00:36:06,600 --> 00:36:11,759 Speaker 7: she volunteered on Hubert Humphreys presidential election in nineteen sixty eight. 663 00:36:12,000 --> 00:36:16,920 Speaker 7: And then my dad was absolutely a rabble rouser and protester, 664 00:36:17,320 --> 00:36:20,560 Speaker 7: and you know, he said, my girl, you know, I 665 00:36:20,640 --> 00:36:22,960 Speaker 7: want to burn the system down and you want to 666 00:36:23,040 --> 00:36:25,400 Speaker 7: change it from the inside out. We need both, and 667 00:36:25,440 --> 00:36:27,759 Speaker 7: I think you get you know, that combination, you get me. 668 00:36:27,840 --> 00:36:30,759 Speaker 7: I'm a member of the of Whieters, which is an 669 00:36:30,760 --> 00:36:35,360 Speaker 7: Ojibwe five in northern Minnesota. And my Ojibwe name is 670 00:36:35,680 --> 00:36:38,200 Speaker 7: ji Waved McQuay, which means speaks in a loud and 671 00:36:38,200 --> 00:36:40,840 Speaker 7: clear voice woman, you know, which I think is pretty 672 00:36:40,840 --> 00:36:45,080 Speaker 7: on the nose, which is all false. And I'm part 673 00:36:45,120 --> 00:36:49,520 Speaker 7: of a really strong urban native community here, we've got 674 00:36:49,560 --> 00:36:53,520 Speaker 7: in the Twin Cities have an incredible urban native community 675 00:36:53,560 --> 00:36:53,919 Speaker 7: as well. 676 00:36:54,239 --> 00:36:57,680 Speaker 1: So you are running for Senate. Lieutenant governor is a 677 00:36:57,800 --> 00:37:00,359 Speaker 1: very different job than being a member of this at it, 678 00:37:01,040 --> 00:37:05,200 Speaker 1: but governorships and lieutenant governors say, you know, it's a 679 00:37:05,280 --> 00:37:09,880 Speaker 1: similar thing. It's all about the executive branch, right making 680 00:37:09,920 --> 00:37:14,319 Speaker 1: things happen, making things work. Why do you think and 681 00:37:14,360 --> 00:37:16,360 Speaker 1: this is something I spend a lot of time thinking about, 682 00:37:16,520 --> 00:37:19,799 Speaker 1: why do you think the Senate in Congress has so 683 00:37:19,920 --> 00:37:23,960 Speaker 1: much trouble actually like legislating and getting things done in 684 00:37:24,000 --> 00:37:27,920 Speaker 1: a way that governors and lieutenant governors do well. 685 00:37:27,960 --> 00:37:31,319 Speaker 7: I think there's a difference between, you know, the executive 686 00:37:31,400 --> 00:37:34,560 Speaker 7: branch and the legislative branch and the judicial branch. And 687 00:37:34,600 --> 00:37:37,520 Speaker 7: by the way, I think having three full branches of 688 00:37:37,560 --> 00:37:40,839 Speaker 7: government is a really important thing, even if there's some 689 00:37:40,880 --> 00:37:43,799 Speaker 7: folks who don't share that philosophy right now, you know, 690 00:37:43,880 --> 00:37:47,239 Speaker 7: certainly our politics are are really polarized right now. But 691 00:37:47,560 --> 00:37:51,839 Speaker 7: as someone who served in the Minnesota Legislature, one of 692 00:37:51,880 --> 00:37:54,120 Speaker 7: my favorite things about being part of a body like 693 00:37:54,160 --> 00:37:56,640 Speaker 7: that is that you have to figure out ways to 694 00:37:56,719 --> 00:37:59,680 Speaker 7: work together, to work across lines of difference to see 695 00:38:00,080 --> 00:38:02,960 Speaker 7: where are those places and spaces where we you know, 696 00:38:03,120 --> 00:38:05,600 Speaker 7: might not agree on everything, but we can find that 697 00:38:05,680 --> 00:38:07,600 Speaker 7: one thing where we're able to move forward. You know, 698 00:38:07,640 --> 00:38:10,000 Speaker 7: when I was a Children's Defense Fund, you know, I 699 00:38:10,080 --> 00:38:14,400 Speaker 7: worked with Republicans and Democrats because it was absolutely needed 700 00:38:14,400 --> 00:38:17,359 Speaker 7: and necessary. And sometimes, you know, folks on my side 701 00:38:17,400 --> 00:38:19,359 Speaker 7: of the aisle might get a little crabby and would say, 702 00:38:19,360 --> 00:38:21,759 Speaker 7: why did you have a Republican author that bill? I said, 703 00:38:21,800 --> 00:38:24,919 Speaker 7: because they're in the majority, and in this moment, two 704 00:38:25,000 --> 00:38:27,000 Speaker 7: years in the life of a child is a really 705 00:38:27,080 --> 00:38:30,200 Speaker 7: long time to wait for the next biennium. We've got 706 00:38:30,200 --> 00:38:31,919 Speaker 7: to go and we've got to We've got to move 707 00:38:31,960 --> 00:38:34,719 Speaker 7: and do this work. I've been troubled, as I know, 708 00:38:35,280 --> 00:38:38,120 Speaker 7: there are so many folks who are just worried and 709 00:38:38,160 --> 00:38:41,040 Speaker 7: afraid about what is coming out of Washington, d C. 710 00:38:41,360 --> 00:38:44,920 Speaker 7: I mean, just recently have heard from Senator Joni Erntz 711 00:38:45,080 --> 00:38:49,080 Speaker 7: who was talking about Medicaid cuts and folks were asking 712 00:38:49,120 --> 00:38:51,640 Speaker 7: her about it and she said, you know, and they said, 713 00:38:51,680 --> 00:38:54,560 Speaker 7: you know, people are going to die, and she said, oh, well, 714 00:38:54,560 --> 00:38:57,399 Speaker 7: we're all we're all going to die someday, right. 715 00:38:57,560 --> 00:39:01,400 Speaker 1: I know, that was incredible, you know, like, that's correct. 716 00:39:03,040 --> 00:39:05,160 Speaker 1: You know, someday we all walk on. 717 00:39:05,320 --> 00:39:09,000 Speaker 7: We all go. But the reality is we shouldn't ever 718 00:39:09,120 --> 00:39:11,759 Speaker 7: have to think that our senators are trying to kill us, 719 00:39:11,920 --> 00:39:14,400 Speaker 7: right or that they are part of that process. So, 720 00:39:14,719 --> 00:39:17,520 Speaker 7: you know, the dysfunction in Washington. I think we need 721 00:39:17,520 --> 00:39:22,280 Speaker 7: more folks who are less Washington to be at the table, 722 00:39:22,320 --> 00:39:25,319 Speaker 7: which is one of the reasons why I'm running. And 723 00:39:25,440 --> 00:39:28,200 Speaker 7: things like Medicaid and making sure that we are doing 724 00:39:28,280 --> 00:39:32,120 Speaker 7: everything that we can to protect it is incredibly important 725 00:39:32,360 --> 00:39:35,160 Speaker 7: right now as I travel across the state of Minnesota 726 00:39:35,160 --> 00:39:37,759 Speaker 7: and talking to folks. You know, just the other day 727 00:39:37,880 --> 00:39:40,239 Speaker 7: was talking to a mom named Chris who's got a 728 00:39:40,320 --> 00:39:43,360 Speaker 7: nine year old kiddo named Bentley, who relies on Medicaid 729 00:39:43,480 --> 00:39:47,520 Speaker 7: for his healthcare and relies on access to special education 730 00:39:47,640 --> 00:39:52,200 Speaker 7: services right through the Department of Education. And she just 731 00:39:52,200 --> 00:39:54,040 Speaker 7: wants to be a good mom and wants to make 732 00:39:54,080 --> 00:39:56,440 Speaker 7: sure that all of that is there for her to 733 00:39:56,440 --> 00:39:59,359 Speaker 7: be able to care for her son. And so it's 734 00:39:59,400 --> 00:40:03,799 Speaker 7: not just nameless, faceless folks writer or numbers on a spreadsheet. 735 00:40:03,920 --> 00:40:08,360 Speaker 7: It's people like Bentley and you know, his his mom, Chris, 736 00:40:08,480 --> 00:40:11,680 Speaker 7: I think about you know, the prescription drugs. And in 737 00:40:11,680 --> 00:40:15,279 Speaker 7: this moment where I think Democrats especially like we are 738 00:40:15,320 --> 00:40:17,560 Speaker 7: fighting back, but I actually think we have to ask 739 00:40:17,640 --> 00:40:20,839 Speaker 7: for more and we have to tell people what it 740 00:40:20,920 --> 00:40:25,520 Speaker 7: is that we're for Congress negotiating the price of ten 741 00:40:25,600 --> 00:40:28,960 Speaker 7: prescription drugs right, lowering the costs for folks on Medicare. 742 00:40:29,160 --> 00:40:32,279 Speaker 7: That's great, But my question is why not all of them? 743 00:40:32,600 --> 00:40:35,560 Speaker 7: We should be asking for more and we don't get 744 00:40:35,600 --> 00:40:37,680 Speaker 7: what we don't fight for. And I think in this 745 00:40:37,840 --> 00:40:42,799 Speaker 7: moment that is the contrast and the opportunity for us 746 00:40:42,520 --> 00:40:46,960 Speaker 7: as Democrats or Medicare and you know, needing to make 747 00:40:47,000 --> 00:40:50,919 Speaker 7: sure that we're covering vision and hearing and dental, all 748 00:40:50,960 --> 00:40:54,160 Speaker 7: of the things that are critical to the overall you know, 749 00:40:54,320 --> 00:40:56,920 Speaker 7: health of folks. And while I'm on a role, I 750 00:40:56,960 --> 00:40:59,640 Speaker 7: guess I would also just say, you know, the pre 751 00:40:59,719 --> 00:41:03,960 Speaker 7: author rization of medical decisions, some person at a desk 752 00:41:04,480 --> 00:41:06,840 Speaker 7: deciding whether or not you're going to get the treatments 753 00:41:06,880 --> 00:41:09,680 Speaker 7: ever die, right, so live or die? It's outrageous. We 754 00:41:09,719 --> 00:41:12,360 Speaker 7: should demand more. And those are the things I think 755 00:41:12,480 --> 00:41:15,839 Speaker 7: that people expected us right now. It is all of 756 00:41:15,920 --> 00:41:20,080 Speaker 7: us against extremist billionaires. We don't have to agree on everything, 757 00:41:20,239 --> 00:41:22,759 Speaker 7: but that we can agree on, and we should be 758 00:41:22,800 --> 00:41:26,000 Speaker 7: doing everything possible to help people afford their lives. 759 00:41:26,280 --> 00:41:29,200 Speaker 1: One of the things that we see is that voters 760 00:41:29,239 --> 00:41:35,839 Speaker 1: are really really mad at Democrats. Yeah even Democrats. Republicans 761 00:41:35,880 --> 00:41:38,200 Speaker 1: for sure, but democrats too. Why do you think they're 762 00:41:38,200 --> 00:41:40,840 Speaker 1: mad at Democrats? And what do you think a Democratic 763 00:41:40,920 --> 00:41:43,000 Speaker 1: party can do to win them back? 764 00:41:43,320 --> 00:41:46,200 Speaker 7: I think one, we have to listen and we've got 765 00:41:46,239 --> 00:41:48,680 Speaker 7: to show up. We've been holding what we're calling kitchen 766 00:41:48,719 --> 00:41:52,279 Speaker 7: table conversations all across the state of Minnesota, and they 767 00:41:52,320 --> 00:41:57,040 Speaker 7: are last town hall and scripted questions and more big 768 00:41:57,080 --> 00:42:00,239 Speaker 7: facilitated conversation. I am most comfortable when we have flip 769 00:42:00,320 --> 00:42:03,440 Speaker 7: chart paper on the wall and post it notes and markers, 770 00:42:03,480 --> 00:42:05,840 Speaker 7: and so that is what these events are all about. 771 00:42:06,000 --> 00:42:08,280 Speaker 7: And we've got folks who are showing up, of course 772 00:42:08,280 --> 00:42:12,080 Speaker 7: who are Democrats, but also people who have said, you know, 773 00:42:12,239 --> 00:42:16,000 Speaker 7: I've never been to anything like this before, but I'm 774 00:42:16,040 --> 00:42:17,960 Speaker 7: really freaked out, and so I'm going to try to 775 00:42:18,040 --> 00:42:20,120 Speaker 7: do whatever it is that I can, and we say 776 00:42:20,160 --> 00:42:22,759 Speaker 7: come on in. And there have been a handful of 777 00:42:22,760 --> 00:42:25,719 Speaker 7: Republicans who've also come to these events who said, you know, 778 00:42:25,760 --> 00:42:27,880 Speaker 7: I didn't vote with you or I didn't vote for 779 00:42:27,960 --> 00:42:32,000 Speaker 7: your party, and rather than blame and shame folks and 780 00:42:32,040 --> 00:42:34,560 Speaker 7: get on our high horse, we said, come on in 781 00:42:34,920 --> 00:42:38,080 Speaker 7: right again, we can find common ground. But I think 782 00:42:38,200 --> 00:42:43,040 Speaker 7: right now Democrats and members of the Democrat Party again 783 00:42:43,280 --> 00:42:46,080 Speaker 7: have to say this is what we're fighting for. It 784 00:42:46,160 --> 00:42:49,200 Speaker 7: is not enough for us to be against Donald Trump, 785 00:42:49,239 --> 00:42:51,680 Speaker 7: which absolutely we are, and we should use every tool 786 00:42:51,719 --> 00:42:54,760 Speaker 7: in our toolbox to push back, but we also again 787 00:42:54,840 --> 00:42:58,720 Speaker 7: have to tell people what we're for. And we don't 788 00:42:58,880 --> 00:43:03,520 Speaker 7: have enough leaders in Washington who understand the struggles that 789 00:43:03,560 --> 00:43:06,880 Speaker 7: people are facing right now and in this moment. And 790 00:43:06,920 --> 00:43:09,080 Speaker 7: I think folks can see right through that, and that 791 00:43:09,239 --> 00:43:12,960 Speaker 7: is also part of the frustration that people have with 792 00:43:13,080 --> 00:43:15,480 Speaker 7: the Democratic Party. People need to know we're going to 793 00:43:15,480 --> 00:43:17,560 Speaker 7: show up for them and that we'll be on their side, 794 00:43:17,640 --> 00:43:19,800 Speaker 7: and that we are not going to just simply engage 795 00:43:20,080 --> 00:43:24,120 Speaker 7: in electoral strip mining right before the election, where we 796 00:43:24,200 --> 00:43:27,000 Speaker 7: show up to people's communities tell them how important we are, 797 00:43:27,040 --> 00:43:29,360 Speaker 7: like it's the you know, like the circus comes to 798 00:43:29,440 --> 00:43:32,160 Speaker 7: town and then we leave that we are doing the 799 00:43:32,200 --> 00:43:35,160 Speaker 7: work now, you know, for us here in Minnesota in 800 00:43:35,200 --> 00:43:38,280 Speaker 7: this campaign, of course, it is about you know, winning 801 00:43:38,680 --> 00:43:42,160 Speaker 7: the US Senate seats. Absolutely, But if we're doing it right, 802 00:43:42,800 --> 00:43:49,360 Speaker 7: it's about building lasting infrastructure for twenty eight and thirty 803 00:43:49,440 --> 00:43:52,840 Speaker 7: and thirty two, and it's about working in partnership this 804 00:43:53,000 --> 00:43:57,880 Speaker 7: summer and fall with our legislators and our legislative candidates 805 00:43:57,920 --> 00:44:01,799 Speaker 7: to make sure that they have, you know, organizers on 806 00:44:01,840 --> 00:44:04,320 Speaker 7: the ground that we are strengthening the work that they're 807 00:44:04,320 --> 00:44:07,560 Speaker 7: doing doing Apartment Knox, showing up for folks so that 808 00:44:07,920 --> 00:44:10,399 Speaker 7: you know, we are ready to go in twenty six 809 00:44:10,600 --> 00:44:13,880 Speaker 7: to win back the House, to build a bigger majority 810 00:44:13,880 --> 00:44:15,880 Speaker 7: in our state senates, and make sure that we can 811 00:44:15,960 --> 00:44:18,520 Speaker 7: continue to deliver on the things that we need to 812 00:44:18,560 --> 00:44:21,719 Speaker 7: deliver on, to make sure that people feel seen and 813 00:44:21,800 --> 00:44:25,080 Speaker 7: heard and value. That work should be happening all the time, 814 00:44:25,320 --> 00:44:27,600 Speaker 7: not just before the election. And I think that is 815 00:44:27,680 --> 00:44:31,160 Speaker 7: also something that people need to see from us. So ideally, 816 00:44:31,440 --> 00:44:33,600 Speaker 7: you know we are we're building that on our campaign, 817 00:44:33,680 --> 00:44:36,560 Speaker 7: but also this should be I think what democrats and 818 00:44:36,760 --> 00:44:39,360 Speaker 7: candidates and leaders are doing all across the country. 819 00:44:39,719 --> 00:44:43,400 Speaker 1: Yeah, such a good point. Thank you, Thank you, Thank you, 820 00:44:44,120 --> 00:44:47,719 Speaker 1: Lieutenant Governor L. G. Plan Again, thanks so much for 821 00:44:47,719 --> 00:44:48,040 Speaker 1: having me. 822 00:44:48,080 --> 00:44:48,719 Speaker 7: I appreciate you. 823 00:44:50,600 --> 00:44:53,160 Speaker 3: They're all set on. 824 00:44:54,080 --> 00:44:58,680 Speaker 2: Jesse Cannon, Mai Jung Fast So Senator Joni Ernst of 825 00:44:58,880 --> 00:45:01,560 Speaker 2: Iowa one of those town halls. And what we know 826 00:45:01,600 --> 00:45:04,080 Speaker 2: about town halls is there's a rule. They don't go 827 00:45:04,200 --> 00:45:06,680 Speaker 2: well for Republicans these days. Well, why don't we listen 828 00:45:06,719 --> 00:45:08,680 Speaker 2: real fast when we. 829 00:45:08,640 --> 00:45:13,080 Speaker 8: Are talking about the corrections in this reconciliation bill. Again, 830 00:45:13,320 --> 00:45:18,000 Speaker 8: it's corrections of overpayments and people that have not been 831 00:45:18,120 --> 00:45:23,440 Speaker 8: eligible for these programs by law as it is currently written. 832 00:45:24,360 --> 00:45:28,520 Speaker 8: So when you are arguing, when you are arguing about 833 00:45:28,960 --> 00:45:31,839 Speaker 8: illegals that are receiving Medicaid. 834 00:45:31,239 --> 00:45:33,680 Speaker 1: Benefits one point four. 835 00:45:33,640 --> 00:45:38,080 Speaker 8: Million one point for they're not they are not eligible, 836 00:45:38,560 --> 00:45:40,320 Speaker 8: so they will be coming off. 837 00:45:41,080 --> 00:45:45,200 Speaker 9: So people are not well. 838 00:45:45,280 --> 00:45:47,360 Speaker 8: We all are going to die. 839 00:45:47,680 --> 00:45:54,080 Speaker 9: So we in say the one in said spokes Okay, no, 840 00:45:54,600 --> 00:45:58,320 Speaker 9: but but what you don't want to do is listen 841 00:45:58,360 --> 00:46:00,359 Speaker 9: to me when I say that we are going. 842 00:46:00,320 --> 00:46:03,920 Speaker 8: To focus on those that are most vulnerable, those that 843 00:46:04,120 --> 00:46:07,839 Speaker 8: made the eligible enow. 844 00:46:09,000 --> 00:46:13,160 Speaker 1: Wow, wow, you know it's funny because I read reporting 845 00:46:13,160 --> 00:46:14,520 Speaker 1: about it but hadn't heard her. 846 00:46:15,320 --> 00:46:18,680 Speaker 2: Her fellow Iowa Senator Chuck Grassley once talked about pulling 847 00:46:18,719 --> 00:46:21,640 Speaker 2: the plug on ground that seems like tripping over the 848 00:46:21,640 --> 00:46:23,319 Speaker 2: plug and not even caring that you did it. 849 00:46:23,760 --> 00:46:28,279 Speaker 1: Well, I mean it's pretty great where she's She's like, well, 850 00:46:28,320 --> 00:46:31,040 Speaker 1: we're all gonna die. I mean, yes, but we don't 851 00:46:31,160 --> 00:46:32,920 Speaker 1: want our senators to kill us. 852 00:46:33,719 --> 00:46:35,359 Speaker 3: Thank you, Sylvia Plath, Thank you. 853 00:46:35,640 --> 00:46:39,799 Speaker 1: Johnny Ernst is up in twenty twenty six. Now she 854 00:46:40,480 --> 00:46:44,200 Speaker 1: is in Iowa, and Iowa is an R plus whatever 855 00:46:44,320 --> 00:46:46,920 Speaker 1: a gazillion state. But you know, this is the thing. 856 00:46:47,160 --> 00:46:50,920 Speaker 1: You don't have to have this person. You don't have 857 00:46:50,960 --> 00:46:53,239 Speaker 1: to have this person represent you, like you could have 858 00:46:53,360 --> 00:46:57,640 Speaker 1: someone a Republican even, who doesn't say things like that, 859 00:46:58,000 --> 00:47:01,960 Speaker 1: just like, we're all going to die day this callousness. 860 00:47:02,200 --> 00:47:04,520 Speaker 1: Voters are either going to be okay with this or 861 00:47:04,520 --> 00:47:07,960 Speaker 1: they're not right. This is all a question of who 862 00:47:08,040 --> 00:47:10,840 Speaker 1: you elect. But let me just say this is really 863 00:47:11,160 --> 00:47:13,960 Speaker 1: just so incredibly gross. 864 00:47:14,239 --> 00:47:14,680 Speaker 3: Agreed. 865 00:47:15,560 --> 00:47:19,919 Speaker 1: That's it for this episode of Fast Politics. Tune in 866 00:47:20,239 --> 00:47:25,680 Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best 867 00:47:25,760 --> 00:47:30,040 Speaker 1: minds and politics make sense of all this chaos. If 868 00:47:30,080 --> 00:47:33,160 Speaker 1: you enjoy this podcast, please send it to a friend 869 00:47:33,600 --> 00:47:36,800 Speaker 1: and keep the conversation going. Thanks for listening.