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 --> 00:00:12,600 Speaker 1: today's best minds, and deploying troops to US cities cost 4 00:00:12,720 --> 00:00:16,800 Speaker 1: a half a billion dollars in twenty twenty five. We 5 00:00:16,920 --> 00:00:19,360 Speaker 1: have such a great show for you today the majority 6 00:00:19,360 --> 00:00:23,800 Speaker 1: of reports. Emma Vichland stops by to talk about Trump's 7 00:00:23,800 --> 00:00:28,480 Speaker 1: attempt to seize elections and our democracy. Ben we'll talk 8 00:00:28,520 --> 00:00:31,960 Speaker 1: to main Governor Janimills about her run to be the 9 00:00:32,000 --> 00:00:36,760 Speaker 1: Democratic nominee for Senate in the Great State of Maine. 10 00:00:37,360 --> 00:00:41,560 Speaker 1: But first we have the many stories that the media 11 00:00:41,680 --> 00:00:42,240 Speaker 1: is missing. 12 00:00:42,840 --> 00:00:45,960 Speaker 2: Samali. Tom Holman came on. He was not carrying a 13 00:00:46,080 --> 00:00:48,040 Speaker 2: kava bag, but he did announce that they're going to 14 00:00:48,080 --> 00:00:52,640 Speaker 2: pull seven hundred immigration agents from Minnesota, which is about 15 00:00:52,920 --> 00:00:55,320 Speaker 2: a quarter of the troops that have been there, but 16 00:00:55,560 --> 00:00:57,720 Speaker 2: up from the one hundred and fifty that are normally there. 17 00:00:58,120 --> 00:01:02,200 Speaker 1: This is what it looks like when administration is trying 18 00:01:02,240 --> 00:01:07,000 Speaker 1: to walk back wildly unpopular policies and Trump World. You know, 19 00:01:07,040 --> 00:01:10,600 Speaker 1: they never want to say that they've failed because they 20 00:01:10,640 --> 00:01:13,360 Speaker 1: think that if they just keep doubling down, no one 21 00:01:13,360 --> 00:01:16,560 Speaker 1: will notice their failures. But here it is this is 22 00:01:16,600 --> 00:01:20,400 Speaker 1: a failure. They took out that little guy, that cute 23 00:01:20,400 --> 00:01:23,720 Speaker 1: little guy who turned out to be a Nazi, Little Greg, 24 00:01:23,840 --> 00:01:26,200 Speaker 1: Little Nazi Greg. He's not a Nazi, but he wears 25 00:01:26,240 --> 00:01:28,640 Speaker 1: a Nazi code. He's Nazi Jason. 26 00:01:28,920 --> 00:01:32,320 Speaker 2: He has affinity for fashion CIRCA Europe nineteen forty three. 27 00:01:32,600 --> 00:01:36,479 Speaker 1: Yeah, he likes Nazi fashion. Does liking Nazi fashion make 28 00:01:36,520 --> 00:01:40,480 Speaker 1: you a Nazi? We're going to say on this podcast, 29 00:01:40,480 --> 00:01:41,800 Speaker 1: We're going to say, yes, he. 30 00:01:41,800 --> 00:01:44,639 Speaker 2: Did say all those anti Semitic things, right. 31 00:01:44,640 --> 00:01:47,800 Speaker 1: Anti anti Semitism. Does that make you a Nazi? Does 32 00:01:47,840 --> 00:01:50,280 Speaker 1: the Nazi coat make you a Nazi? These are the 33 00:01:50,360 --> 00:01:53,400 Speaker 1: questions that we want that the American people long to know. 34 00:01:53,520 --> 00:01:58,120 Speaker 1: But anyway, seven hundred federal and immigration agents removed from 35 00:01:58,160 --> 00:02:02,000 Speaker 1: Minnesota that me and there's still two thousand there and 36 00:02:02,040 --> 00:02:07,600 Speaker 1: they're doing things like gassing preschoolers, shooting citizens, doing all 37 00:02:07,640 --> 00:02:13,040 Speaker 1: the things that are illegal and incomprehensible. And remember they're 38 00:02:13,080 --> 00:02:18,400 Speaker 1: all there because of one YouTuber, Nick Shirley, who published 39 00:02:18,400 --> 00:02:22,640 Speaker 1: a YouTube story about Somali fraud, which had actually been 40 00:02:23,040 --> 00:02:27,000 Speaker 1: prosecuted by the Biden DOJ about three years earlier. I 41 00:02:27,080 --> 00:02:29,040 Speaker 1: just think it's an important data point to realize, like 42 00:02:29,240 --> 00:02:33,679 Speaker 1: this administration does stuff because it sees stuff online. And 43 00:02:34,360 --> 00:02:37,919 Speaker 1: just like you'll remember in DC, big Balls got carjacked, 44 00:02:37,960 --> 00:02:41,079 Speaker 1: and when big Balls got carjacked, that meant that the 45 00:02:41,160 --> 00:02:45,200 Speaker 1: administration sent ice into the district of Columbia. Like these 46 00:02:45,240 --> 00:02:48,280 Speaker 1: aren't that you want to talk about an information bubble? 47 00:02:48,600 --> 00:02:51,600 Speaker 1: This administration is in one. So there's still two thousand 48 00:02:51,680 --> 00:02:56,000 Speaker 1: agents in Minnesota. They are still doing terrible things. We're 49 00:02:56,040 --> 00:02:59,119 Speaker 1: seeing video out of there pretty much every day. And 50 00:02:59,560 --> 00:03:02,480 Speaker 1: you know, we are still hostages of Donald Trump. 51 00:03:02,840 --> 00:03:07,800 Speaker 2: We sure are. So this is sad news, but earned 52 00:03:07,840 --> 00:03:11,360 Speaker 2: by one Jeff Bezos. They Washington Post is seeing mass 53 00:03:11,440 --> 00:03:15,360 Speaker 2: layoffs after their readership has sharply declined after they've made 54 00:03:15,520 --> 00:03:19,200 Speaker 2: absolutely terrible editorial decisions at the hand of Jeff Pisos. 55 00:03:19,480 --> 00:03:22,160 Speaker 1: Jeff Bezos is one of the richest men in the 56 00:03:22,280 --> 00:03:27,440 Speaker 1: entire world. He bought the Post in twenty thirteen because 57 00:03:27,520 --> 00:03:30,959 Speaker 1: he said he cared about saving journalism. He then sort 58 00:03:31,000 --> 00:03:34,600 Speaker 1: of said all these things about how important democracy was. Wow, 59 00:03:34,840 --> 00:03:37,880 Speaker 1: fast forward, He's no longer interested in democracy. He is 60 00:03:37,960 --> 00:03:41,200 Speaker 1: interested in going to fashion choes with his big lipped 61 00:03:41,280 --> 00:03:44,720 Speaker 1: wife and also going to space. And so he is 62 00:03:44,800 --> 00:03:48,440 Speaker 1: no longer he's decided that he doesn't need a democracy 63 00:03:48,520 --> 00:03:52,680 Speaker 1: is for suckers. Mainstream media also for suckers, and so 64 00:03:52,840 --> 00:03:56,960 Speaker 1: he's basically just smothering the Washington Post in front of 65 00:03:57,000 --> 00:03:59,520 Speaker 1: our bary eyes. And he's doing it. Why he's doing 66 00:03:59,520 --> 00:04:06,400 Speaker 1: it here? These people have endless wealth, they have endless 67 00:04:06,440 --> 00:04:10,240 Speaker 1: status and power, and they just are doing what they 68 00:04:10,280 --> 00:04:13,520 Speaker 1: want to do, and so it's terrible to watch. The 69 00:04:13,600 --> 00:04:17,359 Speaker 1: one bright spot, the one bright spot is that every 70 00:04:17,480 --> 00:04:21,760 Speaker 1: journalist in the world now hates him, which means that 71 00:04:22,440 --> 00:04:25,920 Speaker 1: his life will forever be written about with terrible ire. 72 00:04:26,400 --> 00:04:30,760 Speaker 1: And if you think about how sensitive these men are 73 00:04:31,040 --> 00:04:34,240 Speaker 1: and how bien skinned, I think that's going to be 74 00:04:34,320 --> 00:04:37,360 Speaker 1: a very fun experience for Jeff Bezos. 75 00:04:37,880 --> 00:04:40,880 Speaker 2: I think you were right. But as you often point out, 76 00:04:40,960 --> 00:04:43,839 Speaker 2: it is really a shame how it all investigative journalism 77 00:04:43,839 --> 00:04:46,279 Speaker 2: we have. And this is just going to make the 78 00:04:46,320 --> 00:04:47,240 Speaker 2: pool even thinner. 79 00:04:47,520 --> 00:04:50,200 Speaker 1: We were talking about this before. It's couch change money. 80 00:04:50,440 --> 00:04:52,920 Speaker 1: This is you know, it's not even what he pays 81 00:04:53,160 --> 00:04:55,680 Speaker 1: in taxes on one of his houses. I mean, this 82 00:04:55,880 --> 00:04:59,039 Speaker 1: is like her shopping budget, and you know what she 83 00:04:59,120 --> 00:05:01,680 Speaker 1: spends on our It would be easy to keep this 84 00:05:01,800 --> 00:05:04,600 Speaker 1: newspaper going and he's not doing it. And he's not 85 00:05:04,680 --> 00:05:06,359 Speaker 1: doing it for a number of reasons, but one of 86 00:05:06,360 --> 00:05:08,359 Speaker 1: the reasons is probably because he wants to make Donald 87 00:05:08,360 --> 00:05:12,679 Speaker 1: Trump happy so that he can get more deals past 88 00:05:12,680 --> 00:05:13,640 Speaker 1: the Trump administration. 89 00:05:14,080 --> 00:05:17,520 Speaker 2: YEP, sounds right. So my Trump has been having some 90 00:05:17,560 --> 00:05:22,000 Speaker 2: demented ramblings about nationalizing elections as his feelings get very 91 00:05:22,080 --> 00:05:25,080 Speaker 2: hurt about his prospects of getting impeached. So we're seeing 92 00:05:25,120 --> 00:05:28,360 Speaker 2: the Republicans reaction. On one side, we have set a 93 00:05:28,440 --> 00:05:33,560 Speaker 2: majority leader John Thune and Rand Paul saying. On the 94 00:05:33,600 --> 00:05:36,279 Speaker 2: other side, we have Steve Bannon saying We're going to 95 00:05:36,279 --> 00:05:39,599 Speaker 2: surround every election facility with ice, and we have Mike 96 00:05:39,680 --> 00:05:42,160 Speaker 2: Johnson saying, what could I do to please you? Boss? 97 00:05:42,360 --> 00:05:43,240 Speaker 2: What are you seeing this? 98 00:05:43,279 --> 00:05:47,400 Speaker 1: It's a really scary stuff here, Tina, nationalize elections. It's 99 00:05:47,400 --> 00:05:50,320 Speaker 1: really scary to hear Steve Bannon give away the game 100 00:05:50,360 --> 00:05:52,840 Speaker 1: here by saying that he's going to have ice around 101 00:05:52,960 --> 00:05:55,719 Speaker 1: the polls in November. I mean, that is the fear 102 00:05:55,800 --> 00:05:58,480 Speaker 1: that all of us have. Now. The question is, and 103 00:05:58,520 --> 00:06:01,760 Speaker 1: I think this is a real question, is will people 104 00:06:01,880 --> 00:06:06,039 Speaker 1: stand up for American democracy? Because if they do, then 105 00:06:06,120 --> 00:06:08,400 Speaker 1: Trump won't get away with us, and if they don't, 106 00:06:08,600 --> 00:06:10,800 Speaker 1: then Trump will get away with us. And so the 107 00:06:10,880 --> 00:06:14,200 Speaker 1: question is, like, it's going to mean marches, it's going 108 00:06:14,279 --> 00:06:17,200 Speaker 1: to mean standing up for things. It's going to mean 109 00:06:17,720 --> 00:06:22,280 Speaker 1: making sure that these Republicans and there are feckless members 110 00:06:22,640 --> 00:06:27,120 Speaker 1: of Congress like Fatterman, people like that who are willing 111 00:06:27,200 --> 00:06:30,760 Speaker 1: to go along with terrible things because maybe they're compromised. 112 00:06:31,000 --> 00:06:34,800 Speaker 1: I mean, I think so much about terrible Christen Cinema, 113 00:06:34,880 --> 00:06:38,280 Speaker 1: who was just a free thinker, but it turned out 114 00:06:38,360 --> 00:06:40,240 Speaker 1: she actually was just trying to get a job when 115 00:06:40,279 --> 00:06:43,080 Speaker 1: she left office, And so like you have to wonder 116 00:06:43,800 --> 00:06:47,680 Speaker 1: about the people who don't support things like free and elections, 117 00:06:47,760 --> 00:06:51,719 Speaker 1: like how are they compromised? What is it? What are 118 00:06:51,760 --> 00:06:54,960 Speaker 1: they you know, what are they getting? And that's where 119 00:06:54,960 --> 00:06:58,440 Speaker 1: we are, and I think it's really really terrible, and 120 00:06:58,520 --> 00:07:01,320 Speaker 1: I think it's really scary. You know, this is going 121 00:07:01,400 --> 00:07:04,239 Speaker 1: to be where the rubber hits the road here, Ram Paul. 122 00:07:04,640 --> 00:07:08,520 Speaker 1: I mean, it's yet another time where Libertarians are actually 123 00:07:08,839 --> 00:07:12,239 Speaker 1: standing up for things, which I am grateful for because 124 00:07:12,280 --> 00:07:16,480 Speaker 1: this will be a game of inches and not feet. 125 00:07:16,480 --> 00:07:20,600 Speaker 2: Especially with the one vote majority right now in the Congress. 126 00:07:20,880 --> 00:07:23,320 Speaker 1: Yeah, well, that's a good news for Democrats, is that 127 00:07:23,640 --> 00:07:26,280 Speaker 1: Mike Johnson only has a one vote majority. 128 00:07:26,880 --> 00:07:31,520 Speaker 2: So sad, sad, sad news. Because we've pulled out of 129 00:07:31,560 --> 00:07:35,360 Speaker 2: the World Health Organization and we recently had formerhead a 130 00:07:35,400 --> 00:07:38,280 Speaker 2: tool Gwandhi on the podcast, and we know that they 131 00:07:38,480 --> 00:07:41,480 Speaker 2: have done amazing things like, for example, save millions of 132 00:07:41,480 --> 00:07:45,560 Speaker 2: wives from producing staff infections. So a politician, you and 133 00:07:45,600 --> 00:07:48,960 Speaker 2: I are big fans of one, Governor JB. Pritzker. He 134 00:07:49,200 --> 00:07:52,360 Speaker 2: has decided to join whose Global Disease Network. 135 00:07:52,640 --> 00:07:56,960 Speaker 1: Yes, so Governor Pritzker is doing something smart, which is 136 00:07:57,000 --> 00:08:01,160 Speaker 1: that well, America may have left the who Illinois is not. 137 00:08:01,400 --> 00:08:04,360 Speaker 1: And this is what happens when federalism breaks down, is 138 00:08:04,400 --> 00:08:07,520 Speaker 1: states just do what works for them. And that's what 139 00:08:07,560 --> 00:08:11,040 Speaker 1: we're seeing. So we have Pritzker and Illinois joining the 140 00:08:11,080 --> 00:08:16,400 Speaker 1: World Health Organization, we have different states doing vaccines in 141 00:08:16,440 --> 00:08:22,320 Speaker 1: their own way. We have all sorts of breakdowns here 142 00:08:22,360 --> 00:08:25,320 Speaker 1: because the federal government is not doing things for them 143 00:08:25,360 --> 00:08:29,800 Speaker 1: anymore except building a triumphal arch to Donald Trump and 144 00:08:30,200 --> 00:08:35,000 Speaker 1: just you know, creating all sorts of chaos and spending 145 00:08:35,040 --> 00:08:39,520 Speaker 1: our tax dollars in truly insane and dysfunctional ways. So 146 00:08:39,800 --> 00:08:43,000 Speaker 1: it's not surprising that we're here, but it is an 147 00:08:43,040 --> 00:08:52,200 Speaker 1: extremely dark moment in American democracy. We have exciting news 148 00:08:52,280 --> 00:08:55,720 Speaker 1: over at our YouTube channel. The second episode from our 149 00:08:55,840 --> 00:08:59,360 Speaker 1: Project twenty twenty nine series is out now. It's a 150 00:08:59,520 --> 00:09:03,160 Speaker 1: re where we examined what went wrong with democrats approach 151 00:09:03,240 --> 00:09:05,920 Speaker 1: to politics and how we can correct it and deliver 152 00:09:06,080 --> 00:09:09,880 Speaker 1: changes to help people's lives. The first episode dove into 153 00:09:09,880 --> 00:09:14,280 Speaker 1: the very sexy topic of campaign finance reform, and our 154 00:09:14,360 --> 00:09:19,880 Speaker 1: second episode deals with an even sexier topic, antitrust and regulation. 155 00:09:20,280 --> 00:09:25,080 Speaker 1: We look at how antitrust and regulation can protect American 156 00:09:25,160 --> 00:09:30,360 Speaker 1: citizens and make America thrive in an era of rampant 157 00:09:30,360 --> 00:09:35,360 Speaker 1: corruption and predatory crony capitalism. We talk to the smartest 158 00:09:35,400 --> 00:09:39,679 Speaker 1: names in the field like Lena Khan, el Vero Bedoya, 159 00:09:39,800 --> 00:09:45,000 Speaker 1: Elizabeth Wilkins, and Doha Mecki. Republicans were prepared for when 160 00:09:45,040 --> 00:09:48,320 Speaker 1: they got the levers of power. We need Democrats to 161 00:09:48,400 --> 00:09:51,680 Speaker 1: be too, So please head over to YouTube and search 162 00:09:51,960 --> 00:09:55,240 Speaker 1: Molli John Fast Project twenty twenty nine or go to 163 00:09:55,360 --> 00:09:59,800 Speaker 1: the Fast Politics YouTube channel and find it there and 164 00:10:00,080 --> 00:10:05,000 Speaker 1: help us spread the word. Emma Vigiland is the co 165 00:10:05,120 --> 00:10:07,679 Speaker 1: host of the majority of report welcome. 166 00:10:07,600 --> 00:10:12,040 Speaker 3: Welcome, Emma to past pot. Thank you so much for 167 00:10:12,080 --> 00:10:14,880 Speaker 3: having me on Mollie's. I'm really happy to be here. 168 00:10:15,200 --> 00:10:19,559 Speaker 1: So the Wall Street Journal had a piece today about 169 00:10:19,600 --> 00:10:23,880 Speaker 1: Steven Miller which was basically like how he was able 170 00:10:23,960 --> 00:10:28,760 Speaker 1: to be Donald Trump's ID. Just the very framing that 171 00:10:28,800 --> 00:10:32,320 Speaker 1: there is someone who needs to be Donald Trump's ID 172 00:10:32,720 --> 00:10:39,359 Speaker 1: is kind of spectacular and also very just so incredibly 173 00:10:39,400 --> 00:10:43,319 Speaker 1: soul crushing discuss Right, wasn't the whole. 174 00:10:43,080 --> 00:10:45,360 Speaker 3: Thing in the entire time. 175 00:10:46,960 --> 00:10:48,079 Speaker 4: I mean I. 176 00:10:48,000 --> 00:10:51,640 Speaker 3: Would say more like, I appreciate the framing on that front, 177 00:10:52,200 --> 00:10:56,079 Speaker 3: but it's more like he does Trump's id's groundwork. I mean, 178 00:10:56,160 --> 00:11:01,400 Speaker 3: at this point, Trump is so riddled by dementia and 179 00:11:01,520 --> 00:11:06,040 Speaker 3: laziness and ailments that it's like Stephen Miller can execute 180 00:11:06,559 --> 00:11:10,320 Speaker 3: the worst impulses of Trump at a rate that he's 181 00:11:10,400 --> 00:11:13,160 Speaker 3: completely incapable of doing. So he can outsource his ID 182 00:11:13,720 --> 00:11:15,960 Speaker 3: to Stephen Miller. I feel like that's a better way 183 00:11:16,000 --> 00:11:17,280 Speaker 3: to encapsulate it, right. 184 00:11:17,640 --> 00:11:20,280 Speaker 1: Yeah, you know, it's funny because it's like I think 185 00:11:20,320 --> 00:11:25,120 Speaker 1: about Trump two point zero and just how much worse 186 00:11:25,320 --> 00:11:29,240 Speaker 1: everything is categorically, and when you look at the immigration stuff, 187 00:11:29,240 --> 00:11:34,200 Speaker 1: it's a great example of just you know Trump one point. Oh, 188 00:11:34,480 --> 00:11:38,360 Speaker 1: there was anxiety that things would you know, that Trump 189 00:11:38,400 --> 00:11:40,880 Speaker 1: would do things like this, but he never did that. 190 00:11:41,000 --> 00:11:43,720 Speaker 1: You know, we didn't have people in their cars being shot, 191 00:11:44,400 --> 00:11:48,280 Speaker 1: citizens and their cars being shot or you know, or 192 00:11:48,320 --> 00:11:50,600 Speaker 1: we did we had family separation, but we didn't have 193 00:11:51,000 --> 00:11:53,880 Speaker 1: like this sort of you know, there's family separation going 194 00:11:53,920 --> 00:11:56,360 Speaker 1: on that we don't even know about, right Like, That's 195 00:11:56,400 --> 00:11:58,520 Speaker 1: the thing I'm struck by. And it makes me think 196 00:11:58,559 --> 00:12:02,840 Speaker 1: about the Washington Post being you know, today Bezos just 197 00:12:02,880 --> 00:12:05,520 Speaker 1: basically cut a third of the paper because you know, 198 00:12:05,679 --> 00:12:09,800 Speaker 1: it's not his interest anymore. But he's sort of lost 199 00:12:09,840 --> 00:12:13,320 Speaker 1: interest in this whole democracy project. And I mean, who 200 00:12:13,440 --> 00:12:16,960 Speaker 1: are we to tell one of the richest people in 201 00:12:17,000 --> 00:12:20,680 Speaker 1: the world that democracy is good. If we had more reporters, 202 00:12:20,679 --> 00:12:24,280 Speaker 1: we would know. I think there's way more family separation 203 00:12:24,400 --> 00:12:25,040 Speaker 1: then we're seeing. 204 00:12:25,280 --> 00:12:28,320 Speaker 3: Oh absolutely, I mean quick point on Stephen Miller, I 205 00:12:28,360 --> 00:12:31,480 Speaker 3: do think that he almost has the ghost of Roy 206 00:12:31,520 --> 00:12:37,440 Speaker 3: Cone embodying him, where Trump sees so much of coneh 207 00:12:37,679 --> 00:12:42,840 Speaker 3: in Stephen Miller, this you know, rabbid racist, the anti 208 00:12:42,920 --> 00:12:46,880 Speaker 3: communism of Roy Cone. You could also, I think tie 209 00:12:46,960 --> 00:12:53,040 Speaker 3: into Stephen Miller's rabbit Zionism, cracking down on free speech, 210 00:12:53,280 --> 00:12:56,360 Speaker 3: and you know his other fascist inclinations, and just the 211 00:12:56,440 --> 00:12:59,160 Speaker 3: idea that you attack, attack, attack, and Trump sees that 212 00:12:59,280 --> 00:13:02,400 Speaker 3: as strength and you never admit defeat. That was Roy 213 00:13:02,440 --> 00:13:06,360 Speaker 3: Cone's mantra. That's clearly Stephen Miller's mantra, and the directives 214 00:13:06,400 --> 00:13:10,000 Speaker 3: that he's giving to ICE and to DHS. We have 215 00:13:10,240 --> 00:13:13,559 Speaker 3: reporting on this from weeks ago that he was engaging 216 00:13:13,600 --> 00:13:16,679 Speaker 3: in screaming matches about not meeting certain quotas. This is 217 00:13:17,120 --> 00:13:19,560 Speaker 3: it's not hyperbolic to talk about this in terms of 218 00:13:19,600 --> 00:13:21,640 Speaker 3: like this is a Nazi, and I feel like in 219 00:13:21,679 --> 00:13:25,000 Speaker 3: the modern context, that's how we should refer to him, 220 00:13:25,000 --> 00:13:25,880 Speaker 3: because it's accurate. 221 00:13:25,960 --> 00:13:28,080 Speaker 1: And the Roy Cohne point is a really good one. 222 00:13:28,120 --> 00:13:31,880 Speaker 1: And my grandfather was jail in the House of American 223 00:13:31,920 --> 00:13:35,720 Speaker 1: Activities and Roy Coon actually interviewed my grandfather and there's 224 00:13:35,800 --> 00:13:38,880 Speaker 1: really interesting transcript, and he was sort of the henchmen 225 00:13:39,440 --> 00:13:43,240 Speaker 1: of McCarthy, just like we're seeing Stephen Miller as the 226 00:13:43,280 --> 00:13:46,120 Speaker 1: henchman of Donald Trump. They look the same, they act 227 00:13:46,240 --> 00:13:49,920 Speaker 1: very much the same. They're both Jewish, but both very 228 00:13:50,440 --> 00:13:54,520 Speaker 1: reactionary right wing extremists. And you'll remember that in Trump 229 00:13:54,559 --> 00:13:56,640 Speaker 1: one point zero, he would He kept saying, where's my 230 00:13:56,760 --> 00:14:00,319 Speaker 1: roy Cone? Where's my roy cone? So you do see 231 00:14:00,440 --> 00:14:03,840 Speaker 1: that Stephen Miller has taken advantage of that in a 232 00:14:03,920 --> 00:14:08,559 Speaker 1: way that I think is pretty interesting. The other thing 233 00:14:08,600 --> 00:14:12,520 Speaker 1: I would say about when we look at this landscape 234 00:14:12,760 --> 00:14:16,640 Speaker 1: is you do see there's so much push and so 235 00:14:16,840 --> 00:14:21,440 Speaker 1: little pushback from the people who like the elites. Right, 236 00:14:22,560 --> 00:14:25,360 Speaker 1: I'm thinking about like Bezos again, just because he's on 237 00:14:25,480 --> 00:14:29,640 Speaker 1: the brain after completely just ravaging the Washington Post. But 238 00:14:29,880 --> 00:14:32,800 Speaker 1: Elon is a great example. You know, Elon in the 239 00:14:32,800 --> 00:14:36,920 Speaker 1: Epstein Files, spent the last three days tweeting about how 240 00:14:36,960 --> 00:14:40,120 Speaker 1: someone else is in the Epstein Files. But it is like, 241 00:14:40,600 --> 00:14:43,960 Speaker 1: but there are people, like when we go to Minnesota, 242 00:14:44,080 --> 00:14:47,400 Speaker 1: there are like just random people who don't have power, 243 00:14:47,480 --> 00:14:50,760 Speaker 1: who are just normal people who have jobs and lives 244 00:14:50,800 --> 00:14:53,680 Speaker 1: and children, and they're putting it all on the line 245 00:14:53,760 --> 00:14:56,720 Speaker 1: to protect each other. So it does feel like there 246 00:14:56,840 --> 00:15:00,600 Speaker 1: is this sort of strange like almost to sort of 247 00:15:00,640 --> 00:15:04,160 Speaker 1: fairy tale like story of this sort of good guys 248 00:15:04,600 --> 00:15:06,880 Speaker 1: being the ones who have last. 249 00:15:07,520 --> 00:15:11,160 Speaker 3: Yeah, and you had mentioned about how we don't have 250 00:15:11,240 --> 00:15:14,760 Speaker 3: enough reporting on ICE's activities and what they're doing. Popular 251 00:15:14,800 --> 00:15:18,400 Speaker 3: information jud Legum had a piece a few weeks ago 252 00:15:18,520 --> 00:15:22,440 Speaker 3: that just sent a chill down my spine about how 253 00:15:22,760 --> 00:15:27,840 Speaker 3: these ice concentration camps have essentially not paid for any 254 00:15:27,920 --> 00:15:32,280 Speaker 3: medical care since October. They just stopped playing paying. So 255 00:15:33,320 --> 00:15:35,760 Speaker 3: you think that the tens of thousands of people in 256 00:15:35,800 --> 00:15:40,440 Speaker 3: detention aren't experiencing any health episodes, this is what concentration 257 00:15:40,520 --> 00:15:41,160 Speaker 3: camps look like. 258 00:15:41,240 --> 00:15:42,240 Speaker 1: They're neglecting them. 259 00:15:42,280 --> 00:15:46,800 Speaker 3: And then you get the reports about children being fed 260 00:15:47,000 --> 00:15:50,800 Speaker 3: food with that's rotted. There was a mother that told 261 00:15:51,040 --> 00:15:54,800 Speaker 3: a immigration reporter who reported it to a local news station, 262 00:15:55,400 --> 00:15:58,040 Speaker 3: that they have no baby food, so for her young 263 00:15:58,160 --> 00:16:01,120 Speaker 3: child in this family detention center, she had to suck 264 00:16:01,160 --> 00:16:04,800 Speaker 3: the sauce off of every individual piece of pasta before 265 00:16:04,840 --> 00:16:07,920 Speaker 3: giving it to their child because they can't digest it 266 00:16:08,160 --> 00:16:11,960 Speaker 3: at that point. So we do not know the scale 267 00:16:12,040 --> 00:16:15,040 Speaker 3: of the horrors here. But about the people of Minnesota, 268 00:16:15,120 --> 00:16:18,600 Speaker 3: I mean, it is gonna be one of the major 269 00:16:18,680 --> 00:16:21,320 Speaker 3: through lines when we talk about this historical moment, and 270 00:16:21,320 --> 00:16:24,160 Speaker 3: I'm not just talking about Trump two point zero starting 271 00:16:24,320 --> 00:16:28,360 Speaker 3: twenty twenty five on, but even the resistance and the 272 00:16:28,440 --> 00:16:31,640 Speaker 3: pushback to the murder of George Floyd Minneapolis and the 273 00:16:31,640 --> 00:16:34,560 Speaker 3: people of Minneapolis and the Twin Cities have been at 274 00:16:34,560 --> 00:16:40,280 Speaker 3: the center of the civil rights protests and movement of 275 00:16:40,360 --> 00:16:44,840 Speaker 3: the past ten years in response to fascism, and I 276 00:16:44,840 --> 00:16:47,400 Speaker 3: think they will be written about as such as ordinary 277 00:16:47,400 --> 00:16:50,320 Speaker 3: people who stood with their community, because I think, for 278 00:16:50,640 --> 00:16:53,440 Speaker 3: back to Stephen Miller and what is so threatening to 279 00:16:53,480 --> 00:16:57,120 Speaker 3: them about Minneapolis and Minnesota more broadly, It's a state 280 00:16:57,160 --> 00:17:00,680 Speaker 3: with a fairly large social safety net compared to other ones. 281 00:17:01,040 --> 00:17:02,080 Speaker 1: It's a state that has. 282 00:17:01,920 --> 00:17:06,320 Speaker 3: A tradition of democratic input and a rich history of 283 00:17:06,640 --> 00:17:11,040 Speaker 3: democracy in that way, and it's multiracial in so many ways. 284 00:17:11,119 --> 00:17:13,240 Speaker 3: I mean, you can go back to the conspiracy theories 285 00:17:13,280 --> 00:17:16,320 Speaker 3: about ilhan Omar marrying her brother to get into the 286 00:17:16,359 --> 00:17:19,200 Speaker 3: country and how that has been festering, and those were 287 00:17:19,280 --> 00:17:22,639 Speaker 3: far right elements pushing that within Minnesota. So this has 288 00:17:22,680 --> 00:17:25,639 Speaker 3: been brewing for a while. But you have a Somali 289 00:17:25,680 --> 00:17:28,640 Speaker 3: American community with a very high rate of citizenship. They 290 00:17:28,640 --> 00:17:31,679 Speaker 3: are both black and they are Muslim. And when you 291 00:17:31,720 --> 00:17:34,760 Speaker 3: look at Stephen Miller as both a rabid racist when 292 00:17:34,800 --> 00:17:36,960 Speaker 3: it comes to Latino and Black people in this country, 293 00:17:37,200 --> 00:17:40,840 Speaker 3: but also as an islamophobe and a Zionist, you can 294 00:17:40,880 --> 00:17:44,920 Speaker 3: see how those two things connect and Islamophobia in terms 295 00:17:44,960 --> 00:17:48,600 Speaker 3: of the bigotries that are accepted in modern society in 296 00:17:48,640 --> 00:17:51,520 Speaker 3: America these days, I don't know if there's a more 297 00:17:51,720 --> 00:17:57,360 Speaker 3: consequential form of hatred that has rolled back civil liberties 298 00:17:57,359 --> 00:17:59,520 Speaker 3: for people really since nine to eleven in the twenty 299 00:17:59,520 --> 00:18:06,160 Speaker 3: first century, then America's bipartisan, unfortunately very bigoted views about Muslim. 300 00:18:05,880 --> 00:18:09,360 Speaker 1: People, right I Man, I think that there's certainly been 301 00:18:09,359 --> 00:18:14,240 Speaker 1: the the last acceptable quote unquote socially acceptable racism, or 302 00:18:14,240 --> 00:18:18,600 Speaker 1: at least now would the trump eras return to racism. 303 00:18:19,040 --> 00:18:21,400 Speaker 1: It's a little bit more complicated, but for a long 304 00:18:21,440 --> 00:18:24,480 Speaker 1: time it was the only socially acceptable racism, which was 305 00:18:24,920 --> 00:18:27,840 Speaker 1: pretty horrific. So the other thing I wanted to add 306 00:18:27,880 --> 00:18:31,600 Speaker 1: when we talk about the camps or the jails or 307 00:18:31,640 --> 00:18:35,359 Speaker 1: the concentration camps, is that Bloomberg had really good reporting 308 00:18:35,560 --> 00:18:39,320 Speaker 1: about how Ice is trying to buy more you know, 309 00:18:39,320 --> 00:18:41,280 Speaker 1: they have a you know, they have all this money, 310 00:18:41,359 --> 00:18:45,760 Speaker 1: right they are like they're like any They're basically like 311 00:18:46,000 --> 00:18:50,320 Speaker 1: a small army or actually a large army. There are 312 00:18:50,320 --> 00:18:52,760 Speaker 1: many countries that have armies that have less money than Ice, 313 00:18:53,240 --> 00:18:56,000 Speaker 1: and they want to buy up all these warehouses which 314 00:18:56,520 --> 00:18:59,720 Speaker 1: makes you wonder, like these warehouses are not set up. 315 00:18:59,680 --> 00:19:03,359 Speaker 3: For people, They're not that that would require even more 316 00:19:03,600 --> 00:19:09,560 Speaker 3: outfitting for bathrooms, for beds, more money for Donald Trump's 317 00:19:09,680 --> 00:19:15,399 Speaker 3: private prison buddies, for whatever this slush fund is going towards. 318 00:19:15,600 --> 00:19:18,240 Speaker 3: You can really draw a line to have you supported 319 00:19:18,240 --> 00:19:22,119 Speaker 3: Donald Trump, donated to him, donated to his beautiful ballroom, 320 00:19:22,160 --> 00:19:23,879 Speaker 3: which seems to be at the top of his mind 321 00:19:23,960 --> 00:19:27,440 Speaker 3: as the country crumbles in front of our very eyes 322 00:19:27,480 --> 00:19:30,560 Speaker 3: and our democracy fails due to his actions. So yeah, 323 00:19:30,680 --> 00:19:34,240 Speaker 3: it's really it's really horrible to think about this. And 324 00:19:34,760 --> 00:19:37,320 Speaker 3: what is so insidious too, is is you know, you 325 00:19:37,400 --> 00:19:40,880 Speaker 3: see how the prison industrial complex gets its claws into 326 00:19:40,880 --> 00:19:45,119 Speaker 3: the American public. A lot of places where you mega 327 00:19:45,119 --> 00:19:48,320 Speaker 3: prisons are built or private prisons, and now you can 328 00:19:48,440 --> 00:19:52,640 Speaker 3: expand that to ICE. Detention centers are areas of impoverishment 329 00:19:53,040 --> 00:19:57,399 Speaker 3: and of lack of economic opportunity. More broadly, oftentimes they 330 00:19:57,520 --> 00:19:59,960 Speaker 3: are the result of like the hollowing out of manufacturing 331 00:20:00,040 --> 00:20:03,800 Speaker 3: in this country, and they become job creators for those communities. 332 00:20:03,840 --> 00:20:08,080 Speaker 3: And so when you talk about abolishing ICE, which needs 333 00:20:08,119 --> 00:20:11,520 Speaker 3: to be the position of the Democratic Party, because once again, 334 00:20:11,800 --> 00:20:14,920 Speaker 3: ICE was an outgrowth of the war on terror, immigration 335 00:20:14,960 --> 00:20:18,440 Speaker 3: should be under the AUSCO twenties twenty five years later, 336 00:20:18,680 --> 00:20:22,040 Speaker 3: like right, I mean, and we can imagine a world 337 00:20:22,040 --> 00:20:24,680 Speaker 3: without ICE because it did. I mean, I'm older than Ice. 338 00:20:24,800 --> 00:20:28,639 Speaker 3: This can go towards a more humane process where we 339 00:20:28,720 --> 00:20:31,119 Speaker 3: can hear people's claims, and it can be under the 340 00:20:31,119 --> 00:20:34,760 Speaker 3: Department of Justice as opposed to under the National Security umbrella. 341 00:20:35,119 --> 00:20:38,240 Speaker 3: Which is why there's this lawlessness. This is the same. 342 00:20:38,560 --> 00:20:42,640 Speaker 3: This is imperial blowback. It is how we decided after 343 00:20:42,720 --> 00:20:47,040 Speaker 3: nine to eleven we were going to expand the security state, 344 00:20:47,480 --> 00:20:50,840 Speaker 3: expand mass surveillance, and eventually a lot of left wing 345 00:20:50,840 --> 00:20:52,359 Speaker 3: critics of it at the time, we're saying, this is 346 00:20:52,400 --> 00:20:53,960 Speaker 3: going to come home, and this is going. 347 00:20:53,880 --> 00:20:54,560 Speaker 1: To affect us. 348 00:20:54,920 --> 00:20:57,239 Speaker 3: This is what's happened, what is happening right now, and 349 00:20:57,320 --> 00:21:00,400 Speaker 3: so that is I think the key point here is 350 00:21:00,400 --> 00:21:05,199 Speaker 3: is that they are very consciously trying to put a 351 00:21:05,280 --> 00:21:09,359 Speaker 3: foundation down in a variety of different communities so that 352 00:21:09,440 --> 00:21:14,280 Speaker 3: it becomes very difficult to dismantle ICE and to dismantle 353 00:21:14,680 --> 00:21:20,760 Speaker 3: the DHS because literally communities might rely on it for jobs. 354 00:21:20,880 --> 00:21:23,600 Speaker 3: And so the Democrats have to act with the urgency 355 00:21:23,640 --> 00:21:24,840 Speaker 3: that the Republicans are acting. 356 00:21:25,480 --> 00:21:28,560 Speaker 1: Yeah, And it's a good point because we saw that 357 00:21:28,920 --> 00:21:34,879 Speaker 1: probably the shooters of alex pretty may have been Latino, 358 00:21:35,320 --> 00:21:38,880 Speaker 1: may have been Hispanic from their names, and you know, 359 00:21:39,080 --> 00:21:41,760 Speaker 1: this is a group that's been both being deported and 360 00:21:41,880 --> 00:21:46,879 Speaker 1: employed by Ice, which is a complicated variable. Want to 361 00:21:46,920 --> 00:21:51,680 Speaker 1: talk about Prop fifty because Supreme Court. Hard to find 362 00:21:51,680 --> 00:21:55,480 Speaker 1: a liberal or even a centrist who feels particularly good 363 00:21:55,480 --> 00:21:58,000 Speaker 1: about the Supreme Court. But this Supreme Court is not 364 00:21:58,359 --> 00:22:02,600 Speaker 1: going to get involved in Prop fifty, which is of 365 00:22:02,640 --> 00:22:06,719 Speaker 1: course just for those who have lives. Gavin Newsome redistrict 366 00:22:06,760 --> 00:22:10,800 Speaker 1: in California got Democrats five more seats, the kind of 367 00:22:11,080 --> 00:22:15,000 Speaker 1: garish thing that we see Republicans do with a plumb 368 00:22:15,320 --> 00:22:17,919 Speaker 1: What do you think about that? Because, like, I know 369 00:22:19,280 --> 00:22:22,240 Speaker 1: that Gavin is not so popular for a lot of 370 00:22:22,240 --> 00:22:28,119 Speaker 1: his views and also his podcast where he interviews people 371 00:22:28,680 --> 00:22:31,960 Speaker 1: and on the right what platforms like the worst people 372 00:22:31,960 --> 00:22:34,240 Speaker 1: in the world. But I do think Prop fifty is 373 00:22:34,280 --> 00:22:36,040 Speaker 1: like a huge victory and it's hard for me to 374 00:22:36,080 --> 00:22:39,600 Speaker 1: imagine a world where Chuck Schumer does a Prop fifty. God, 375 00:22:39,840 --> 00:22:41,520 Speaker 1: you can give Gavin you some credit for this. 376 00:22:41,680 --> 00:22:43,840 Speaker 3: I still think that if we return to his kind 377 00:22:43,840 --> 00:22:47,440 Speaker 3: of politics in twenty twenty eight of throwing trans people 378 00:22:47,520 --> 00:22:49,879 Speaker 3: under the bus, running to the right on immigration. I mean, 379 00:22:49,920 --> 00:22:53,320 Speaker 3: he opposes many increases in taxes on the wealthy, and 380 00:22:53,359 --> 00:22:56,960 Speaker 3: it's very important that we say that that's a non starter, 381 00:22:57,000 --> 00:22:59,199 Speaker 3: I think in the Democratic Party, because it's not just 382 00:22:59,280 --> 00:23:02,200 Speaker 3: about hating rich people. It's that they're genuinely a threat 383 00:23:02,240 --> 00:23:03,680 Speaker 3: to our democracy. 384 00:23:03,400 --> 00:23:06,680 Speaker 1: And they're not being taxed at a right that is reasonable. 385 00:23:06,720 --> 00:23:09,680 Speaker 1: But talk about Prop fifty because I do think it is. 386 00:23:10,280 --> 00:23:13,600 Speaker 1: You know, it shows a way forward for Democrats. 387 00:23:13,880 --> 00:23:18,200 Speaker 3: Yes, absolutely, absolutely so credit where credit is due. This 388 00:23:18,280 --> 00:23:20,639 Speaker 3: is a really important step. We were just on our 389 00:23:20,640 --> 00:23:23,880 Speaker 3: show today looking at there's a Brennan Center for Justice 390 00:23:23,880 --> 00:23:27,160 Speaker 3: analysis of the twenty twenty four House districts and if 391 00:23:27,200 --> 00:23:31,640 Speaker 3: there was non partisan jerrymandering, Democrats would have sixteen more 392 00:23:31,680 --> 00:23:35,080 Speaker 3: seats that would lean in their direction. And for the 393 00:23:35,160 --> 00:23:38,360 Speaker 3: past twenty plus years or whatever, the Democrats have basically 394 00:23:38,400 --> 00:23:42,479 Speaker 3: unilaterally disarmed and said, Okay, Republicans, you can engage in 395 00:23:42,520 --> 00:23:43,600 Speaker 3: your jerry mandering. 396 00:23:43,680 --> 00:23:44,960 Speaker 1: It's too uncouth for us. 397 00:23:45,320 --> 00:23:48,000 Speaker 3: But Gavin Newsom, to his credit, says no, no, no, 398 00:23:48,040 --> 00:23:50,560 Speaker 3: We're not going to do that. The stakes are too 399 00:23:50,640 --> 00:23:55,200 Speaker 3: high here and it's encouraging that the Supreme Court decided that, hey, 400 00:23:55,920 --> 00:23:58,760 Speaker 3: we don't want to look at this hypocritical on this, 401 00:23:59,320 --> 00:24:02,680 Speaker 3: and it may pave the way for even more consequential 402 00:24:03,119 --> 00:24:05,840 Speaker 3: jerrymandering and the rolling back of the Voting Rights Act. 403 00:24:05,840 --> 00:24:08,440 Speaker 3: I mean, we're going to be seeing a case coming 404 00:24:08,480 --> 00:24:11,760 Speaker 3: forward about districts in the Southeast that the Supreme Court 405 00:24:11,800 --> 00:24:14,080 Speaker 3: is going to have to respond to. So this may 406 00:24:14,359 --> 00:24:17,480 Speaker 3: portend poorly for that for the Democrats, but we're seeing 407 00:24:17,520 --> 00:24:20,800 Speaker 3: in Texas right now it's backfiring on them. They already 408 00:24:20,880 --> 00:24:23,720 Speaker 3: acknowledge that it's backfiring. That's why Trump's going out there. 409 00:24:23,760 --> 00:24:26,879 Speaker 3: And there's now this new push for the Save Act, 410 00:24:27,200 --> 00:24:32,439 Speaker 3: which would prevent tens of millions of Americans from voting 411 00:24:32,440 --> 00:24:34,439 Speaker 3: if they don't have a real ID or if they 412 00:24:34,440 --> 00:24:36,679 Speaker 3: don't have a passport, which, by the way, you know 413 00:24:36,720 --> 00:24:38,560 Speaker 3: both of these you have to purchase. At this point, 414 00:24:39,760 --> 00:24:43,280 Speaker 3: this would disenfranchise so many, so many people. They're already 415 00:24:43,280 --> 00:24:45,240 Speaker 3: banking on the fact that their efforts to rig it 416 00:24:45,280 --> 00:24:49,000 Speaker 3: through jerrymandering are going to not either be net neutral 417 00:24:49,040 --> 00:24:51,800 Speaker 3: for them or net negative, because again they're basing this 418 00:24:52,640 --> 00:24:56,159 Speaker 3: jerrymandering off of the twenty twenty four results where you 419 00:24:56,280 --> 00:25:01,240 Speaker 3: saw this Latino swing to Trump. All indications have shown, 420 00:25:01,240 --> 00:25:04,919 Speaker 3: whether it's Mikey Cheryl, there was a Union City, New 421 00:25:04,960 --> 00:25:08,760 Speaker 3: Jersey's a heavily Latino city swung like fifty points towards 422 00:25:08,760 --> 00:25:10,800 Speaker 3: her in the last race. And then we saw the 423 00:25:10,840 --> 00:25:13,800 Speaker 3: special election in Texas how that panned out. 424 00:25:13,880 --> 00:25:16,639 Speaker 1: Miami has a Democratic mayor for the first time in 425 00:25:16,680 --> 00:25:17,600 Speaker 1: twenty one years. 426 00:25:17,760 --> 00:25:21,000 Speaker 3: Right, So if they're drawing those lines in Texas along 427 00:25:21,400 --> 00:25:25,200 Speaker 3: the Trump coalition that's already shattered, with that in mind, 428 00:25:25,640 --> 00:25:28,360 Speaker 3: that could also be a benefit for Democrats. So they 429 00:25:28,359 --> 00:25:32,280 Speaker 3: have already pivoted to we're going to intimidate voters at 430 00:25:32,320 --> 00:25:35,160 Speaker 3: the voting booth, whether it's the National Guard or ICE agents. 431 00:25:35,400 --> 00:25:38,760 Speaker 3: And think about Texas where if Talerico's the nominee, I 432 00:25:38,800 --> 00:25:41,600 Speaker 3: do think that there's a pretty good chance, like for 433 00:25:41,640 --> 00:25:44,640 Speaker 3: the first time since Bedowell Rourke, that Democrats could get 434 00:25:44,640 --> 00:25:47,359 Speaker 3: close there. And so they're going to have a collaborationist 435 00:25:47,440 --> 00:25:51,720 Speaker 3: Governor Greg Abbott saying, Okay, you wanna, let's bring in 436 00:25:51,760 --> 00:25:55,280 Speaker 3: ice agents to intimidate anyone that looks brown from coming 437 00:25:55,280 --> 00:25:57,480 Speaker 3: out to vote, because they're going to be afraid that 438 00:25:57,600 --> 00:25:59,280 Speaker 3: this could turn the other way for them. 439 00:26:00,200 --> 00:26:00,800 Speaker 4: Yeah. 440 00:26:00,920 --> 00:26:03,639 Speaker 1: No, I mean, I think that's exactly right, and I 441 00:26:03,680 --> 00:26:08,800 Speaker 1: think we're certainly going to see more of that. I'll 442 00:26:08,800 --> 00:26:12,960 Speaker 1: be interested to see. Like the save AC stuff seems 443 00:26:12,960 --> 00:26:16,800 Speaker 1: so craven, and you know we saw Rand Paul is 444 00:26:16,880 --> 00:26:19,720 Speaker 1: not going to be on board with it. But I 445 00:26:19,800 --> 00:26:23,600 Speaker 1: wonder Republicans, well, I mean, it's next level bad. I 446 00:26:23,720 --> 00:26:26,080 Speaker 1: wonder what happens with that. 447 00:26:27,480 --> 00:26:33,560 Speaker 3: Yeah, I'm I'm concerned, and I don't know. I don't 448 00:26:33,560 --> 00:26:37,280 Speaker 3: think you can quantify it fully because it's going to 449 00:26:37,320 --> 00:26:40,680 Speaker 3: be based a lot on intimidation tactics. 450 00:26:40,720 --> 00:26:40,960 Speaker 1: I mean. 451 00:26:41,320 --> 00:26:45,680 Speaker 3: But so ironic is that as they're rounding up people 452 00:26:45,840 --> 00:26:49,840 Speaker 3: who are immigrants and separating them from their families or 453 00:26:49,880 --> 00:26:52,960 Speaker 3: abusing them and putting them into these camps, at the 454 00:26:53,000 --> 00:26:55,159 Speaker 3: same time, the Trump administration is trying to claim that 455 00:26:55,200 --> 00:26:58,600 Speaker 3: those people are so motivated to go out and vote 456 00:26:58,600 --> 00:27:01,720 Speaker 3: in some you know, like congression primary, that they're going 457 00:27:01,800 --> 00:27:05,399 Speaker 3: to risk sealing someone's identity, Yeah, to vote in a 458 00:27:05,480 --> 00:27:10,000 Speaker 3: race where the year's a better chance than like they're 459 00:27:10,080 --> 00:27:12,119 Speaker 3: vote mattering that they're going to be rounded up and 460 00:27:12,119 --> 00:27:14,280 Speaker 3: their family's going to be torn apart, and they're trying 461 00:27:14,280 --> 00:27:16,760 Speaker 3: to claim that this is a systemic problem with voting 462 00:27:16,760 --> 00:27:19,720 Speaker 3: in this country. It's just great replacement theory stuff. We 463 00:27:19,760 --> 00:27:22,920 Speaker 3: have gone from that being I correctly identify as a 464 00:27:23,000 --> 00:27:26,120 Speaker 3: Nazi conspiracy theory to that being the line that Mike 465 00:27:26,200 --> 00:27:28,320 Speaker 3: Johnson is repeating to the press. 466 00:27:28,720 --> 00:27:36,199 Speaker 1: Yeah, Mike Johnson is sort of an incredible cipher for 467 00:27:36,320 --> 00:27:38,919 Speaker 1: Donald Trump. I mean, I don't think there's much going 468 00:27:38,960 --> 00:27:43,520 Speaker 1: on in there besides, you know, just a complete transmit 469 00:27:43,840 --> 00:27:47,439 Speaker 1: of trump Ism and his and his sort of needs 470 00:27:47,480 --> 00:27:50,480 Speaker 1: and wants. I mean, the polling, I just want it 471 00:27:50,520 --> 00:27:52,360 Speaker 1: before we're almost out of time. But I just want 472 00:27:52,400 --> 00:27:56,159 Speaker 1: to read you a poll because I think it's so 473 00:27:56,400 --> 00:27:59,280 Speaker 1: instructive and I think it shows where we are so 474 00:27:59,440 --> 00:28:03,879 Speaker 1: Quinnipia poll for the Trump administration, Americans say Pretty's killing 475 00:28:03,960 --> 00:28:07,439 Speaker 1: was not justified by forty points. That's double the margin 476 00:28:07,520 --> 00:28:11,800 Speaker 1: on Goods killing. Also, sixty three percent of Americans disapprove 477 00:28:11,800 --> 00:28:15,960 Speaker 1: of Ice, sixty percent one Ice out of Minneapolis, and 478 00:28:16,040 --> 00:28:20,400 Speaker 1: fifty eight percent want Nome removed from office. 479 00:28:20,840 --> 00:28:24,199 Speaker 3: I wish that polling matthered to them. It does to 480 00:28:24,280 --> 00:28:27,320 Speaker 3: a degree. It does to a degree, and maybe the 481 00:28:27,359 --> 00:28:30,919 Speaker 3: Susie Wilds not to Stephen Miller though, but who this 482 00:28:30,960 --> 00:28:34,720 Speaker 3: should matter to is the Democrats. Yeah, you got them. 483 00:28:35,040 --> 00:28:37,840 Speaker 3: You have a mass popular will on your side. You 484 00:28:37,960 --> 00:28:38,880 Speaker 3: just have to harness it. 485 00:28:39,520 --> 00:28:43,720 Speaker 1: Yeah, exactly, And I think that's so right. Emma, thank you. 486 00:28:43,800 --> 00:28:44,960 Speaker 1: I hope you'll come back. 487 00:28:45,160 --> 00:28:46,880 Speaker 3: I would love to thank you so much for having 488 00:28:46,880 --> 00:28:47,160 Speaker 3: me on. 489 00:28:49,560 --> 00:28:52,840 Speaker 1: Jana Mills is a governor of Maine and a candidate 490 00:28:53,080 --> 00:28:57,360 Speaker 1: in the Democratic primary for Senate. Welcome Governor Mills. 491 00:28:57,480 --> 00:28:58,120 Speaker 4: Thank you, Molly. 492 00:28:58,400 --> 00:29:02,120 Speaker 1: I feel like your breakthrough moment and obviously you've been 493 00:29:02,120 --> 00:29:04,320 Speaker 1: doing this a long time so, but your breakthrough moment 494 00:29:04,480 --> 00:29:09,800 Speaker 1: was when you were at this governor's breakfast with Trump. 495 00:29:10,120 --> 00:29:12,640 Speaker 1: So tell us the providence of that story, because it 496 00:29:12,720 --> 00:29:14,440 Speaker 1: was education spending right. 497 00:29:14,800 --> 00:29:17,160 Speaker 4: Oh jeez, it was ridiculous. Listen. 498 00:29:17,240 --> 00:29:19,520 Speaker 5: I've been to the White House before as Attorney General 499 00:29:19,520 --> 00:29:22,640 Speaker 5: and as governor, and usually you meet with the Secretary's, 500 00:29:22,680 --> 00:29:24,800 Speaker 5: the cabinet members, and then there's a big meeting with 501 00:29:24,800 --> 00:29:27,520 Speaker 5: the president. The press stay for five ten minutes and 502 00:29:27,560 --> 00:29:30,160 Speaker 5: they leave and you actually have a good conversation with 503 00:29:30,320 --> 00:29:33,480 Speaker 5: whatever president happens to be in office. Well, we had 504 00:29:33,520 --> 00:29:36,160 Speaker 5: bad feelings about this one. You know, there was Elon 505 00:29:36,280 --> 00:29:39,080 Speaker 5: Musk doing his dulge thing, and some of us thought, 506 00:29:39,120 --> 00:29:41,160 Speaker 5: what the hell is going to happen this time? So 507 00:29:41,240 --> 00:29:43,720 Speaker 5: we were a little anxious, to put it mildly, but 508 00:29:44,000 --> 00:29:46,440 Speaker 5: we go in the White House in the big East room. There, 509 00:29:46,480 --> 00:29:48,400 Speaker 5: we sit down and we listened to an hour and 510 00:29:48,480 --> 00:29:53,040 Speaker 5: a quarter of a really bad, rehashed campaign speech by 511 00:29:53,080 --> 00:29:56,440 Speaker 5: the President and he's going off on Biden, Biden, Biden. 512 00:29:56,600 --> 00:29:58,440 Speaker 5: And I'm texting my friends saying. 513 00:29:58,360 --> 00:29:59,200 Speaker 4: Can we just leave? 514 00:29:59,400 --> 00:30:01,840 Speaker 5: This is just a there was nothing productive about it all, 515 00:30:02,000 --> 00:30:04,000 Speaker 5: and they go, well, it's the White House, you know. 516 00:30:04,320 --> 00:30:06,480 Speaker 5: So this turns on me out of the blue and 517 00:30:06,480 --> 00:30:09,160 Speaker 5: he goes, there's Maine here, Yeah, are here? 518 00:30:09,280 --> 00:30:09,760 Speaker 4: Bring it on. 519 00:30:10,040 --> 00:30:13,040 Speaker 5: He started going on about transgender sports and claiming that 520 00:30:13,080 --> 00:30:15,800 Speaker 5: there's this one person in the Olympics who was really 521 00:30:15,880 --> 00:30:18,040 Speaker 5: a guy, but it was boxing as a woman. It 522 00:30:18,120 --> 00:30:21,479 Speaker 5: was just bullshit stuff. Frankly, he says, well, Maine, are 523 00:30:21,520 --> 00:30:25,000 Speaker 5: you going to follow my executive order on transgender sports? 524 00:30:25,360 --> 00:30:29,000 Speaker 5: I said, I'm going to follow state and federal law. 525 00:30:29,360 --> 00:30:32,560 Speaker 5: And then he said, well, I or we are the 526 00:30:32,600 --> 00:30:37,320 Speaker 5: federal law. Well my jaw dropped at that, because as 527 00:30:37,400 --> 00:30:41,880 Speaker 5: a lawyer, country lawyer, as an American citizen, I know 528 00:30:42,040 --> 00:30:42,920 Speaker 5: that's not the case. 529 00:30:42,960 --> 00:30:45,920 Speaker 4: He's not the law. And so I said, oh, well, 530 00:30:46,240 --> 00:30:47,280 Speaker 4: I'll see you in court. 531 00:30:47,840 --> 00:30:50,840 Speaker 5: And I didn't think anybody heard me, but I guess 532 00:30:50,920 --> 00:30:53,080 Speaker 5: they did because the press was still there. And then 533 00:30:53,120 --> 00:30:55,800 Speaker 5: a few weeks later and then he went on about 534 00:30:55,960 --> 00:30:58,880 Speaker 5: your career is over, you're dead, you're done, blah blah blah. 535 00:30:58,920 --> 00:31:00,680 Speaker 5: We're going to take away all your fe federal funding. 536 00:31:01,160 --> 00:31:05,080 Speaker 5: Who is this Why is he talking like this? Well, 537 00:31:05,640 --> 00:31:08,720 Speaker 5: the first inclination I had that the new tenure of 538 00:31:08,720 --> 00:31:11,320 Speaker 5: Donald Trump was going to be so far worse than 539 00:31:11,360 --> 00:31:14,520 Speaker 5: the first term of Donald Trump. And then a few 540 00:31:14,560 --> 00:31:18,800 Speaker 5: weeks later, he actually told his Secretary of Agriculture, Brookie Rollins, 541 00:31:19,160 --> 00:31:21,080 Speaker 5: to write me a nasty letter. It was like a 542 00:31:21,080 --> 00:31:24,600 Speaker 5: fifth grader's letter. You shouldn't do this, You can't do that. 543 00:31:24,720 --> 00:31:27,080 Speaker 5: You're being bad, you know, And we're going to take 544 00:31:27,120 --> 00:31:29,800 Speaker 5: away your school funding. I go, what school funding? We 545 00:31:29,840 --> 00:31:33,080 Speaker 5: don't get federal funding for athletics. There was two kids 546 00:31:33,080 --> 00:31:38,000 Speaker 5: in main schools who were transgender kids competing in different athletics, 547 00:31:38,040 --> 00:31:40,920 Speaker 5: and Jez, I'm crowed. I thought the world was coming 548 00:31:40,960 --> 00:31:43,920 Speaker 5: to an end. Well, schrites this mean nasty letters. Then 549 00:31:44,040 --> 00:31:46,240 Speaker 5: we're going to cut away your federal funding. Well, the 550 00:31:46,320 --> 00:31:48,400 Speaker 5: only federal funding were getting is for the school lunch 551 00:31:48,440 --> 00:31:52,360 Speaker 5: program basically, so she threatened to shut off one hundred 552 00:31:52,400 --> 00:31:56,160 Speaker 5: and seventy two thousand main school kids from school lunch programs. 553 00:31:56,440 --> 00:31:58,440 Speaker 4: What the hell's that got to do with sports? 554 00:31:58,480 --> 00:32:01,960 Speaker 5: Well, we went to court, Attorney General, and I filed 555 00:32:01,960 --> 00:32:04,680 Speaker 5: a law suit on a Friday. Greece would do Wednesday. 556 00:32:04,840 --> 00:32:08,680 Speaker 5: The following Friday, a Republican appointed judge from a long 557 00:32:08,760 --> 00:32:13,440 Speaker 5: standing Republican family and Bangormain issued a seventy page ruin 558 00:32:13,560 --> 00:32:17,560 Speaker 5: giving us a temporary restraining order against the federal government 559 00:32:18,120 --> 00:32:22,120 Speaker 5: a back down. So we took them to court and 560 00:32:22,160 --> 00:32:25,440 Speaker 5: we won. So that was the moment for me. I 561 00:32:25,480 --> 00:32:29,920 Speaker 5: think most people know that Congress is a coequal branch 562 00:32:29,960 --> 00:32:34,280 Speaker 5: of government. It's Congress that writes the laws, sets the laws, 563 00:32:34,320 --> 00:32:37,480 Speaker 5: repetals the laws, amends of the laws, not the executive branch. 564 00:32:37,520 --> 00:32:40,640 Speaker 5: The executive branch is authority under the Constitution is simply 565 00:32:40,640 --> 00:32:45,000 Speaker 5: to take care that the laws be faithfully executed, not 566 00:32:45,080 --> 00:32:47,680 Speaker 5: to try to amend them, repeat him, or enact them 567 00:32:47,680 --> 00:32:50,920 Speaker 5: by executive order or tweet or press release. 568 00:32:51,480 --> 00:32:53,960 Speaker 4: You know that, and we all know that, and. 569 00:32:53,880 --> 00:32:57,959 Speaker 5: He's been pushing that envelope ever since in so many ways, 570 00:32:58,520 --> 00:32:59,440 Speaker 5: and we're resisting. 571 00:32:59,640 --> 00:33:00,960 Speaker 4: We could tina to resist. 572 00:33:01,600 --> 00:33:04,160 Speaker 1: So I want to talk about what's happened with the 573 00:33:04,200 --> 00:33:08,000 Speaker 1: Trump administration right now, which is they sent ice into Maine. 574 00:33:08,600 --> 00:33:13,560 Speaker 1: Then Susan Collins called Trump and they took ice out 575 00:33:13,560 --> 00:33:15,480 Speaker 1: of Maine. What do you think happened there? 576 00:33:15,880 --> 00:33:17,680 Speaker 5: Well, the question is why did they come in the 577 00:33:17,720 --> 00:33:20,360 Speaker 5: first place. If it was so important to get them out, 578 00:33:20,600 --> 00:33:22,080 Speaker 5: Why was that so important to have them in in 579 00:33:22,120 --> 00:33:24,600 Speaker 5: the first place. Why did she call her friend Christinome 580 00:33:24,800 --> 00:33:27,000 Speaker 5: before they came to say you don't need to send 581 00:33:27,040 --> 00:33:30,520 Speaker 5: ice to May She did say she was concerned, right 582 00:33:31,520 --> 00:33:34,920 Speaker 5: that she was concerned. He's a senator who actually voted 583 00:33:34,960 --> 00:33:39,560 Speaker 5: for Christineome. I remember Christinome as governor. Remember her dealing 584 00:33:39,720 --> 00:33:43,360 Speaker 5: terribly with the pandemic. Remember the Sturgist motorcycle rally, twenty 585 00:33:43,400 --> 00:33:47,120 Speaker 5: fifty thousand people, super spreader. Oh, Christy, people died on 586 00:33:47,160 --> 00:33:49,520 Speaker 5: your watch in the streets of your state. 587 00:33:49,760 --> 00:33:50,880 Speaker 4: But she's so smart. 588 00:33:51,080 --> 00:33:55,080 Speaker 5: But she has absolutely no law enforcement experience, no law 589 00:33:55,160 --> 00:33:59,240 Speaker 5: enforcement intelligence or ability. She does not belong in that job. 590 00:33:59,240 --> 00:34:02,520 Speaker 5: But she should, she should go beyond that Susan Collins 591 00:34:02,520 --> 00:34:05,400 Speaker 5: has been very supportive of this administration, voted for this 592 00:34:05,440 --> 00:34:08,440 Speaker 5: administration ninety four percent of the time. The fact, she 593 00:34:08,520 --> 00:34:12,520 Speaker 5: made a phone call apparently to Christino after the fact, well, 594 00:34:12,719 --> 00:34:15,000 Speaker 5: but where are the people? They say they took two 595 00:34:15,040 --> 00:34:17,439 Speaker 5: hundred and six people out of Maine. They snatched them, 596 00:34:17,719 --> 00:34:20,560 Speaker 5: invasion of the Brody Snatchers. He's bad. 597 00:34:20,920 --> 00:34:24,600 Speaker 1: But also do you think that the reason that they 598 00:34:24,680 --> 00:34:29,240 Speaker 1: took Ice out was because Susan Collins saw the polling 599 00:34:29,480 --> 00:34:33,680 Speaker 1: and knew that if Ice occupied in her state the 600 00:34:33,719 --> 00:34:38,160 Speaker 1: way they have occupied Minnesota, the way they've occupied Washington, DC, 601 00:34:38,680 --> 00:34:41,880 Speaker 1: that she would absolutely just not even have a prayer. 602 00:34:42,440 --> 00:34:44,000 Speaker 4: They know that she's vulnerable. 603 00:34:44,640 --> 00:34:48,960 Speaker 5: She is one of the most vulnerable Republican senators in 604 00:34:49,000 --> 00:34:52,239 Speaker 5: this country. And she's vulnerable for good reason, because she 605 00:34:52,280 --> 00:34:54,800 Speaker 5: has voted with Donald Trump ninety four percent of the time, 606 00:34:55,080 --> 00:34:59,759 Speaker 5: because she's acted with concern but no courage. Claims she's 607 00:34:59,760 --> 00:35:03,000 Speaker 5: got seniority, God bless her. She's been there a long time. 608 00:35:03,600 --> 00:35:05,600 Speaker 5: I guess you call it seniority when you've been there 609 00:35:05,640 --> 00:35:08,800 Speaker 5: almost thirty years and gotten very little done except oh, 610 00:35:09,000 --> 00:35:12,640 Speaker 5: confirm people like Brett Kavanaugh, confirm Robert F. Kennedy Junior, 611 00:35:12,719 --> 00:35:16,000 Speaker 5: who's destroyed the public health infrastructure in vaccine availability. 612 00:35:16,280 --> 00:35:18,320 Speaker 4: Oh confirmed Linda mcmans. 613 00:35:17,840 --> 00:35:21,960 Speaker 5: To Power of Education secretary, who thinks that AI is 614 00:35:22,000 --> 00:35:24,279 Speaker 5: a steak sauce, you know, like that. 615 00:35:24,880 --> 00:35:26,040 Speaker 4: She's gone with a flow. 616 00:35:26,480 --> 00:35:29,200 Speaker 5: She's not stood up to this government, to this administration, 617 00:35:29,360 --> 00:35:30,920 Speaker 5: and that's why she is going to go. 618 00:35:31,320 --> 00:35:32,600 Speaker 4: Yes, they saw the polls. 619 00:35:32,840 --> 00:35:35,879 Speaker 5: Yes they saw they couldn't really barge into the state 620 00:35:35,920 --> 00:35:39,400 Speaker 5: of Maine to the extent they went barging into Minneapolis 621 00:35:39,400 --> 00:35:44,080 Speaker 5: and are still there without completely undermining the one remaining 622 00:35:44,239 --> 00:35:48,520 Speaker 5: Republican senator in this area whose vote they need. So 623 00:35:48,600 --> 00:35:51,520 Speaker 5: it is and we still don't know, We don't have 624 00:35:51,520 --> 00:35:54,279 Speaker 5: an accounting for what they did, who they did it to, 625 00:35:54,640 --> 00:35:55,719 Speaker 5: where those people are. 626 00:35:56,040 --> 00:35:57,279 Speaker 4: These weren't the worst. 627 00:35:57,040 --> 00:35:59,560 Speaker 5: Of the worst. And by the way, calling it the 628 00:35:59,680 --> 00:36:03,800 Speaker 5: catch of the day is just so appalling. This isn't 629 00:36:03,880 --> 00:36:07,640 Speaker 5: some menu item on Donald Trump's clamshack meal. 630 00:36:08,120 --> 00:36:10,440 Speaker 4: This isn't some you know, fishing. 631 00:36:10,120 --> 00:36:13,360 Speaker 5: Derby and Maine. These are real human beings. This is 632 00:36:13,400 --> 00:36:15,640 Speaker 5: a mother of four children who is yet to be 633 00:36:15,680 --> 00:36:18,120 Speaker 5: accounted for. We don't know where she is, a working 634 00:36:18,160 --> 00:36:21,040 Speaker 5: mother of four. These are two different corrections officers and 635 00:36:21,080 --> 00:36:24,319 Speaker 5: two different counties who were helping run the jails with 636 00:36:24,480 --> 00:36:28,080 Speaker 5: no criminal records. These people had no criminal charges or records. 637 00:36:28,200 --> 00:36:32,080 Speaker 5: A civil engineer here on contract doing good work in 638 00:36:32,120 --> 00:36:33,280 Speaker 5: a construction agency. 639 00:36:33,560 --> 00:36:36,560 Speaker 4: People from all over who are working and. 640 00:36:36,560 --> 00:36:40,319 Speaker 5: Contributing to these communities, who are doing no harm, the 641 00:36:40,320 --> 00:36:43,120 Speaker 5: ones we've heard about, no criminal charges. 642 00:36:43,480 --> 00:36:46,279 Speaker 4: Where are these people gone? How could you just snatch. 643 00:36:46,040 --> 00:36:49,640 Speaker 5: People, taking them off into the ion a sphere and 644 00:36:49,680 --> 00:36:51,920 Speaker 5: then take them one state to another as soon as 645 00:36:51,920 --> 00:36:55,520 Speaker 5: the habeas petitioners filed in federal court disappeared them to 646 00:36:55,600 --> 00:36:59,640 Speaker 5: another state, another detention center, like that five year old 647 00:36:59,640 --> 00:37:03,399 Speaker 5: boy and Texas. For God's sake, there's no accountability here. 648 00:37:03,560 --> 00:37:05,960 Speaker 5: And I'm waiting for the US Senate and I'm not 649 00:37:06,000 --> 00:37:09,680 Speaker 5: hearing it from Susan Collins that there must be accountability. 650 00:37:10,000 --> 00:37:13,880 Speaker 5: She's eager to fund this organization, continue funding it, advance 651 00:37:13,960 --> 00:37:19,040 Speaker 5: funding of it, with no concrete accountability, no standards. 652 00:37:19,320 --> 00:37:21,440 Speaker 4: Look, my law enforcement in Maine. 653 00:37:21,200 --> 00:37:23,759 Speaker 5: I work very tightly with them, very closely with them, 654 00:37:23,800 --> 00:37:25,799 Speaker 5: and a lot of things. I worked with them as 655 00:37:25,840 --> 00:37:29,000 Speaker 5: a district attorney for fifteen years, as attorney general for 656 00:37:29,040 --> 00:37:32,239 Speaker 5: eight years, and that was governor for seven They know. 657 00:37:32,280 --> 00:37:35,360 Speaker 4: Good law enforcement. I know good law enforcement. 658 00:37:35,760 --> 00:37:38,960 Speaker 5: Our law enforcement officers don't have to wear masks, they 659 00:37:38,960 --> 00:37:41,680 Speaker 5: don't have to hide their identity, and they sure as 660 00:37:41,680 --> 00:37:44,600 Speaker 5: hell don't make sweeps of people, whole communities of people 661 00:37:44,880 --> 00:37:48,480 Speaker 5: because OF's some artificial quota set by some political figure 662 00:37:48,480 --> 00:37:50,719 Speaker 5: at the head of the department who doesn't deserve the 663 00:37:50,840 --> 00:37:52,520 Speaker 5: rank of chief official. 664 00:37:52,800 --> 00:37:57,520 Speaker 1: You're locked in a pretty tight primary with an oyster 665 00:37:57,680 --> 00:38:01,360 Speaker 1: farmer who has a very new way to look at things. 666 00:38:01,520 --> 00:38:05,040 Speaker 1: But you know, it's not necessarily what mayners want. I 667 00:38:05,120 --> 00:38:07,439 Speaker 1: don't know what maynerds want because I'm not a man. 668 00:38:07,840 --> 00:38:10,880 Speaker 1: But the party has gotten a lot of flack for 669 00:38:11,000 --> 00:38:16,440 Speaker 1: having older candidates. But you seem very spry and with 670 00:38:16,719 --> 00:38:21,359 Speaker 1: it and fun. Certainly, these are six year terms. That's 671 00:38:21,400 --> 00:38:24,480 Speaker 1: a long time. Talk us through what your plan is. 672 00:38:24,920 --> 00:38:26,560 Speaker 4: Yeah, look, I don't have to do this. 673 00:38:26,920 --> 00:38:29,279 Speaker 5: I have the rest of this year, my last term 674 00:38:29,280 --> 00:38:32,120 Speaker 5: as governor, and I could just choose not to do it. 675 00:38:32,120 --> 00:38:34,000 Speaker 4: I could have chosen not to do it, but I 676 00:38:34,080 --> 00:38:35,040 Speaker 4: thought an awful. 677 00:38:34,760 --> 00:38:37,719 Speaker 5: Lot about it over the summer and early fall, and 678 00:38:37,800 --> 00:38:40,600 Speaker 5: I began to realize that I don't stand up and 679 00:38:40,680 --> 00:38:41,640 Speaker 5: take this job on. 680 00:38:41,920 --> 00:38:43,279 Speaker 4: If I don't stand up for my. 681 00:38:43,360 --> 00:38:46,319 Speaker 5: Country, we might lose this country. And I feel that 682 00:38:46,440 --> 00:38:49,600 Speaker 5: strongly that democracy is a stake here and if we 683 00:38:49,719 --> 00:38:52,080 Speaker 5: don't tell the Senate that they have to stand up 684 00:38:52,120 --> 00:38:55,120 Speaker 5: to this administration, and the way to do that right 685 00:38:55,200 --> 00:38:58,280 Speaker 5: now is to change the Senate. Change who's in the Senate. 686 00:38:58,560 --> 00:39:01,040 Speaker 5: I talked to my friends Roy Koue, who's running in 687 00:39:01,160 --> 00:39:03,840 Speaker 5: North Carolina, shared Brown I spoke way back in the 688 00:39:03,880 --> 00:39:06,720 Speaker 5: summer in Ohio, and some other good people are running. 689 00:39:06,760 --> 00:39:09,880 Speaker 5: We have a chance to take back the Senate. The 690 00:39:09,920 --> 00:39:13,759 Speaker 5: way we've run people before against Susan Collins, unfortunately, is 691 00:39:13,800 --> 00:39:18,160 Speaker 5: we've run untested people, people who hadn't won outside their 692 00:39:18,320 --> 00:39:21,680 Speaker 5: house district safe, which is seven thousand people, people who 693 00:39:21,680 --> 00:39:24,920 Speaker 5: had not been tested statewide. Well, for better for worse. 694 00:39:25,320 --> 00:39:29,920 Speaker 5: I've run and won two statewide races by increasing margins. 695 00:39:29,760 --> 00:39:33,920 Speaker 1: Really four because you ran for reelection in both those races. 696 00:39:34,120 --> 00:39:36,359 Speaker 5: Yeah, I didn't have a primary for reelection. But look, 697 00:39:36,400 --> 00:39:39,080 Speaker 5: I won by thirteen percent last time against a very 698 00:39:39,120 --> 00:39:42,160 Speaker 5: popular former Republican two term governor, PAULA. 699 00:39:42,200 --> 00:39:44,240 Speaker 4: Page, and I beat him by thirteen. 700 00:39:43,880 --> 00:39:46,360 Speaker 5: Percent, beat him in his hometown, beat him in the 701 00:39:46,400 --> 00:39:47,520 Speaker 5: city where he was mayor. 702 00:39:48,040 --> 00:39:49,959 Speaker 4: I thought he's going for everybody's back now. 703 00:39:49,920 --> 00:39:53,400 Speaker 5: Right Regardless, he still hasn't conceded anyway. 704 00:39:53,680 --> 00:39:54,279 Speaker 4: But I won. 705 00:39:54,680 --> 00:39:58,399 Speaker 5: My record is known. I've delivered for main people. I've 706 00:39:58,440 --> 00:40:02,040 Speaker 5: delivered progress for main people. Whether it's healthcare on day 707 00:40:02,120 --> 00:40:05,120 Speaker 5: one for one hundred thousand people in Medicaid expansion, whether 708 00:40:05,160 --> 00:40:09,800 Speaker 5: it's small business healthcare, whether it's education finally fully funded 709 00:40:09,880 --> 00:40:12,239 Speaker 5: state share of education, free school. 710 00:40:11,960 --> 00:40:14,040 Speaker 4: Meals, universal school meals, public. 711 00:40:13,760 --> 00:40:18,919 Speaker 5: Schools, free community college, increasing teacher pay, fighting climate action, 712 00:40:19,040 --> 00:40:22,040 Speaker 5: climate change on the ground here in May with so 713 00:40:22,120 --> 00:40:24,640 Speaker 5: many measures. And I've done all that, and fighting for 714 00:40:24,719 --> 00:40:28,200 Speaker 5: reproductive rights and codifying those rights in state law, while 715 00:40:28,320 --> 00:40:32,400 Speaker 5: Susan Collins has done the opposite at the federal level. 716 00:40:32,640 --> 00:40:34,759 Speaker 5: You know, we need somebody who can go toe to 717 00:40:34,760 --> 00:40:38,880 Speaker 5: toe with Susan Collins. Well, I've expanded healthcare, she's threatened it, 718 00:40:39,080 --> 00:40:42,800 Speaker 5: she's failed to increase to bring back the ACA tax credits. 719 00:40:42,960 --> 00:40:47,080 Speaker 5: I've protected abortion access. Well, God, she was a decisive 720 00:40:47,239 --> 00:40:50,480 Speaker 5: vote to confirm Brett Kavanaugh. Who can forget that? 721 00:40:50,880 --> 00:40:51,680 Speaker 4: Will she won't? 722 00:40:51,680 --> 00:40:53,960 Speaker 5: She speech on the floor of the US Senate forty 723 00:40:54,000 --> 00:40:56,680 Speaker 5: five minutes. Oh, I believe he's not going over turn 724 00:40:56,760 --> 00:40:59,640 Speaker 5: Roe v Wade well Bs about the same time. Later 725 00:40:59,680 --> 00:41:02,760 Speaker 5: she said, Oh, Donald Trump, I think he's learned his lesson. 726 00:41:03,000 --> 00:41:06,359 Speaker 5: Oh really, I'm sick of it. She shows a lot 727 00:41:06,400 --> 00:41:09,000 Speaker 5: of concern, but never the courage that people need in 728 00:41:09,040 --> 00:41:12,399 Speaker 5: the US Senate. And I'm running not because I need 729 00:41:12,400 --> 00:41:15,120 Speaker 5: a job or want to you know, climate career ladder, 730 00:41:15,280 --> 00:41:18,480 Speaker 5: build a resume. I'm running for one term because I 731 00:41:18,520 --> 00:41:19,799 Speaker 5: know I can get down there. 732 00:41:20,280 --> 00:41:21,440 Speaker 4: SENI already be damned. 733 00:41:22,000 --> 00:41:24,760 Speaker 5: I'll have a voice, and I will have a strong voice, 734 00:41:24,960 --> 00:41:28,000 Speaker 5: and I will be listened to on day one because 735 00:41:28,000 --> 00:41:30,719 Speaker 5: I'm giving it my all. I'm not going to spend 736 00:41:30,800 --> 00:41:34,320 Speaker 5: time on day two then and they then forward dialing 737 00:41:34,360 --> 00:41:36,759 Speaker 5: for dollars and running for real, and like most of 738 00:41:36,800 --> 00:41:40,320 Speaker 5: them do, I'm going to solely on the job at hand. 739 00:41:40,600 --> 00:41:44,080 Speaker 5: It is too important not to do that. And that's 740 00:41:44,080 --> 00:41:46,640 Speaker 5: why I'm running. We have younger people in the office. 741 00:41:46,640 --> 00:41:50,640 Speaker 5: We have a great bench of younger Democrats. Four people 742 00:41:50,719 --> 00:41:53,160 Speaker 5: running for Senate who are younger than me. 743 00:41:53,640 --> 00:41:53,960 Speaker 4: Great. 744 00:41:54,400 --> 00:41:57,000 Speaker 5: We have a Senate president it was about thirty four, 745 00:41:57,080 --> 00:41:59,959 Speaker 5: I think maybe thirty five. A Speaker of the House 746 00:42:00,000 --> 00:42:03,720 Speaker 5: who's only thirty two or three. Wonderful bright young people. 747 00:42:03,960 --> 00:42:06,120 Speaker 5: We have a bench. It was room for them too. 748 00:42:06,440 --> 00:42:08,480 Speaker 5: And I'm not going to clog the works by staying 749 00:42:08,480 --> 00:42:10,959 Speaker 5: in the US Senate forever. I want to have one 750 00:42:11,040 --> 00:42:14,920 Speaker 5: term to get stuff done because these years, these times 751 00:42:15,400 --> 00:42:19,080 Speaker 5: are too dangerous, too urgent not to give it all, 752 00:42:19,360 --> 00:42:21,319 Speaker 5: my all, not for all of us to give it 753 00:42:21,360 --> 00:42:24,320 Speaker 5: are all to save our country. This is a president 754 00:42:24,440 --> 00:42:28,040 Speaker 5: talking about blocking the elections this year. We cannot let 755 00:42:28,080 --> 00:42:28,479 Speaker 5: it happen. 756 00:42:28,920 --> 00:42:30,959 Speaker 4: Yeah, I said a few minutes ago, the four people 757 00:42:31,000 --> 00:42:33,280 Speaker 4: are running. I meant to say four people running for governor. 758 00:42:33,640 --> 00:42:37,600 Speaker 1: Yeah, well that's great too. When is a primary June ninth? Okay, 759 00:42:37,640 --> 00:42:40,719 Speaker 1: so this is all almost over. Janet Mells, thank you, 760 00:42:41,400 --> 00:42:49,200 Speaker 1: thank you, Molly no mo Jesse Cannon, Molly. 761 00:42:49,440 --> 00:42:52,480 Speaker 2: So we saw weeks ago us that a bunch of 762 00:42:52,560 --> 00:42:54,960 Speaker 2: prosecutors quit a Minnesota because they did not want to 763 00:42:54,960 --> 00:42:59,160 Speaker 2: investigate Renee Good's wife and tarred Featherer. Well, the funny 764 00:42:59,200 --> 00:43:02,040 Speaker 2: thing is is these six sick people at the White 765 00:43:02,040 --> 00:43:05,520 Speaker 2: House and the DOJ keep trying to find people to 766 00:43:05,560 --> 00:43:09,839 Speaker 2: prosecute and find some dirt on them to demonize them, 767 00:43:10,000 --> 00:43:12,640 Speaker 2: and more prosecutors just keep on quitting. 768 00:43:12,920 --> 00:43:16,919 Speaker 1: Yeah. One of my favorite parts of this whole story 769 00:43:17,680 --> 00:43:21,880 Speaker 1: is that we saw people from Trump World on X 770 00:43:22,080 --> 00:43:28,040 Speaker 1: being like, if you're a lawyer who wants to do law, like, 771 00:43:28,680 --> 00:43:32,960 Speaker 1: come apply here. And you know, they can't find people 772 00:43:33,000 --> 00:43:36,800 Speaker 1: to do their corrupt stuff because these people who decided 773 00:43:36,840 --> 00:43:39,000 Speaker 1: to be lawyers, like, they didn't do it because they're 774 00:43:39,040 --> 00:43:45,000 Speaker 1: craven opportunists. They did it because they really believe in things. 775 00:43:45,120 --> 00:43:49,680 Speaker 1: And so Trump World has found itself in a real 776 00:43:50,360 --> 00:43:54,480 Speaker 1: pickle here. I think what happens is that they can't 777 00:43:54,520 --> 00:43:57,440 Speaker 1: find the people they need to do the things they 778 00:43:57,520 --> 00:43:59,760 Speaker 1: need to do. And I don't know what happens next, 779 00:43:59,800 --> 00:44:03,120 Speaker 1: but it's kind of heartening with so much bad news 780 00:44:03,160 --> 00:44:06,719 Speaker 1: and so much depressing stuff to see that actually there 781 00:44:06,719 --> 00:44:10,919 Speaker 1: are some pieces of light. There are some people who 782 00:44:10,960 --> 00:44:14,800 Speaker 1: believe in what's good. There's some goodness out there. There's 783 00:44:14,960 --> 00:44:17,360 Speaker 1: some bit of that is actually good. 784 00:44:17,840 --> 00:44:20,960 Speaker 2: Yeah, and maybe they'll find their Wedndsay Halligan to do 785 00:44:21,000 --> 00:44:23,720 Speaker 2: an incompetent job, but it ain't going to make a difference. 786 00:44:24,200 --> 00:44:29,440 Speaker 1: Yeah, that's it for this episode of Fast Politics. Tune 787 00:44:29,520 --> 00:44:35,160 Speaker 1: in every Monday, Wednesday, Thursday and Saturday to hear the 788 00:44:35,200 --> 00:44:39,480 Speaker 1: best minds and politics make sense of all this chaos. 789 00:44:39,719 --> 00:44:42,600 Speaker 1: If you enjoy this podcast, please send it to a 790 00:44:42,640 --> 00:44:46,640 Speaker 1: friend and keep the conversation going. Thanks for listening.