1 00:00:00,640 --> 00:00:04,160 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,400 --> 00:00:07,160 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:11,320 Speaker 1: today's best minds, and more than thirty Republican congressmen have 4 00:00:11,360 --> 00:00:14,840 Speaker 1: announced there leaving conference, we have said you great Joe 5 00:00:14,880 --> 00:00:18,200 Speaker 1: for you. Today, the Lincoln Project's own Rick Wilson joins 6 00:00:18,280 --> 00:00:22,040 Speaker 1: us to discuss the Trump Administration's attempt to cover up 7 00:00:22,160 --> 00:00:24,639 Speaker 1: the murder of Renee Good, and we'll talk to the 8 00:00:24,720 --> 00:00:29,000 Speaker 1: New Yorkers Johnathan Blitzer about how the Trump administration is 9 00:00:29,160 --> 00:00:35,640 Speaker 1: making Democratic Congresswoman le Monica mcgiver's life hell. But first 10 00:00:35,760 --> 00:00:38,559 Speaker 1: we have the stories the media is missing Somali. 11 00:00:38,800 --> 00:00:41,560 Speaker 2: We are known haters of AI and it wiped out 12 00:00:41,720 --> 00:00:45,000 Speaker 2: four hundred billion dollars for the stock market this week. 13 00:00:45,200 --> 00:00:47,479 Speaker 2: And one of the funniest things is this week is 14 00:00:47,600 --> 00:00:50,080 Speaker 2: as this is happening, we find out that a bunch 15 00:00:50,120 --> 00:00:52,440 Speaker 2: of tech bros tried to create a hyperstition for those 16 00:00:52,479 --> 00:00:55,280 Speaker 2: who don't know hyperstitions where you say something and try 17 00:00:55,320 --> 00:00:57,240 Speaker 2: to make it real even though it's not real, and 18 00:00:57,360 --> 00:01:00,600 Speaker 2: you know it. That these claud bots were all talking 19 00:01:00,600 --> 00:01:03,400 Speaker 2: to each other that AI has said to you, it's well, 20 00:01:03,600 --> 00:01:06,280 Speaker 2: it's well at more advanced than it actually is, and 21 00:01:06,560 --> 00:01:10,520 Speaker 2: because of all this mythologizing, we are seeing a massive 22 00:01:10,560 --> 00:01:12,880 Speaker 2: re structuring of our economy. 23 00:01:13,240 --> 00:01:16,600 Speaker 1: I'm going to make this clear. AI is not doing 24 00:01:16,800 --> 00:01:19,200 Speaker 1: what they told us it was going to do. It 25 00:01:19,280 --> 00:01:24,600 Speaker 1: is not this sentient super being. It is just better computing, 26 00:01:24,959 --> 00:01:27,280 Speaker 1: but is not changing the world. We are not going 27 00:01:27,319 --> 00:01:30,240 Speaker 1: to all lose our jobs because of AI. This is 28 00:01:30,319 --> 00:01:33,360 Speaker 1: good news, This should be good news. The problem is 29 00:01:33,840 --> 00:01:38,440 Speaker 1: our entire economy is puffed up on the fantasy that 30 00:01:38,560 --> 00:01:43,200 Speaker 1: AI is supercomputers. And so either what had to happen 31 00:01:43,800 --> 00:01:46,399 Speaker 1: was that the stock market was going to create or 32 00:01:47,160 --> 00:01:49,320 Speaker 1: AI was going to replace all of us, and we 33 00:01:49,320 --> 00:01:52,880 Speaker 1: were going to live, as Elon Mush says, live care 34 00:01:52,960 --> 00:01:56,600 Speaker 1: free in the world of Elon Mush, and we were 35 00:01:56,640 --> 00:02:00,840 Speaker 1: all going to get universal basic income, not from him, 36 00:02:01,400 --> 00:02:04,480 Speaker 1: of course, and not from our government. Well here's what's happened. 37 00:02:04,680 --> 00:02:07,960 Speaker 1: The truth is AI is good and getting better, but 38 00:02:08,040 --> 00:02:09,800 Speaker 1: he's not going to replace all of us, and that's 39 00:02:10,160 --> 00:02:14,520 Speaker 1: really probably good news. And if our stock market had 40 00:02:14,560 --> 00:02:18,240 Speaker 1: been normal, we would be fine. But instead it has 41 00:02:18,280 --> 00:02:21,799 Speaker 1: puffed up our economy and so everybody's going to lose 42 00:02:21,800 --> 00:02:24,640 Speaker 1: a lot of money. And that's what we saw this week. 43 00:02:24,760 --> 00:02:28,919 Speaker 1: AI four hundred billion this week in paper returns in 44 00:02:29,000 --> 00:02:33,400 Speaker 1: the market. So that sucks, and it sucks for people 45 00:02:33,560 --> 00:02:37,000 Speaker 1: like Cora sam Altman, who felt useless and sad using 46 00:02:37,000 --> 00:02:41,960 Speaker 1: his own AI to code. All right, honestly, fuck all 47 00:02:42,000 --> 00:02:45,200 Speaker 1: of them. We could have avoided all of this if 48 00:02:45,200 --> 00:02:48,680 Speaker 1: people hadn't been fucking liars, and that is how we 49 00:02:48,720 --> 00:02:52,680 Speaker 1: got here, so conned again by stupid white guys. 50 00:02:53,080 --> 00:02:56,000 Speaker 3: And as a side effect, we all get higher electricity fees. 51 00:02:56,480 --> 00:02:59,920 Speaker 1: But I'm just glad that there are enormous data centers 52 00:03:00,160 --> 00:03:04,880 Speaker 1: built everywhere in our country using water to make AI 53 00:03:05,160 --> 00:03:08,840 Speaker 1: slop of Donald Trump. So just say no to AI. 54 00:03:09,320 --> 00:03:12,680 Speaker 1: Don't use it, don't post the photos, don't let them 55 00:03:13,080 --> 00:03:14,840 Speaker 1: fuck up stuff, just let it go. 56 00:03:15,120 --> 00:03:19,480 Speaker 2: So in really ridiculous news and something that I uh. 57 00:03:19,560 --> 00:03:24,360 Speaker 1: Find Mark Ebstein, I'm sorry. I see the headline of 58 00:03:24,440 --> 00:03:27,399 Speaker 1: Jeffrey Epstein's brother, and I know and by the way 59 00:03:27,480 --> 00:03:29,799 Speaker 1: I say this, I take no pleasure to report that. 60 00:03:29,880 --> 00:03:33,240 Speaker 1: This makes me so angry. But you go and then 61 00:03:33,280 --> 00:03:35,920 Speaker 1: I'll tell you why Mark Ebstein makes me furious. 62 00:03:36,280 --> 00:03:40,160 Speaker 2: Okay, So over the weekend, what we saw is that 63 00:03:40,400 --> 00:03:43,960 Speaker 2: first there is a big controversy where Jeffrey Epstein's death 64 00:03:44,000 --> 00:03:47,080 Speaker 2: statement is dated the day before it happened, which there 65 00:03:47,160 --> 00:03:51,200 Speaker 2: is some rational explanations for this. But another thing everybody's 66 00:03:51,200 --> 00:03:53,960 Speaker 2: been discussing all week is that Mark Epstein submitted a 67 00:03:54,000 --> 00:03:56,720 Speaker 2: tip that Donald Trump ordered the execution of his brother 68 00:03:56,800 --> 00:04:00,240 Speaker 2: Jeffrey Epstein to cover up for him naming names. And 69 00:04:00,680 --> 00:04:05,200 Speaker 2: he confirmed to the Independent that he did indeed submit 70 00:04:05,280 --> 00:04:05,760 Speaker 2: this tip. 71 00:04:05,920 --> 00:04:10,000 Speaker 1: All right, listen, here's the deal. What if the conspiracy 72 00:04:10,200 --> 00:04:12,880 Speaker 1: is not any of these conspiracies, but it's a conspiracy 73 00:04:13,280 --> 00:04:19,760 Speaker 1: that a rich, white, sociopathic guy and his horrendous British 74 00:04:19,800 --> 00:04:25,760 Speaker 1: girlfriend got away with sex trafficking thousands of women and girls. 75 00:04:26,040 --> 00:04:29,160 Speaker 1: What if that is the scandal. What if that is 76 00:04:29,160 --> 00:04:33,160 Speaker 1: the conspiracy. What if the conspiracy is a conspiracy of silence. 77 00:04:33,240 --> 00:04:38,159 Speaker 1: What if the conspiracy is that people still let these 78 00:04:38,200 --> 00:04:41,719 Speaker 1: people be in government. What if the conspiracy is that 79 00:04:41,920 --> 00:04:44,440 Speaker 1: Donald Trump was friends with Jeffrey Epstein, that half of 80 00:04:44,480 --> 00:04:47,800 Speaker 1: his cabinet did business. I mean, you got Letnick doing 81 00:04:47,880 --> 00:04:52,040 Speaker 1: business with jeffff You got John Phalen riding in Jeffrey 82 00:04:52,080 --> 00:04:55,920 Speaker 1: Epstein's plane. Michael Wolfe has a huge substack and he 83 00:04:56,080 --> 00:04:59,560 Speaker 1: is was giving media advice and getting free shoes from 84 00:04:59,640 --> 00:05:04,240 Speaker 1: Jeffrey Epstein. Jeffrey Epstein spent ten thousand dollars buying underwear 85 00:05:04,279 --> 00:05:08,080 Speaker 1: for Woody Allen. What if the conspiracy is that these 86 00:05:08,240 --> 00:05:12,320 Speaker 1: fucking guys get to serve in our government and walk 87 00:05:12,360 --> 00:05:15,400 Speaker 1: among us. What if that's the conspiracy. What if it's 88 00:05:15,400 --> 00:05:19,080 Speaker 1: the fact that no one got prosecuted except Glayne, That, 89 00:05:19,320 --> 00:05:22,919 Speaker 1: in my mind is a bigger conspiracy than anything else. 90 00:05:23,000 --> 00:05:25,479 Speaker 1: And am I saying that Jeffrey Epstein wasn't murdered. I 91 00:05:25,480 --> 00:05:27,800 Speaker 1: don't know what happened to Jeffrey Epstein, but I honestly 92 00:05:27,880 --> 00:05:30,920 Speaker 1: care more about why there are not other people being 93 00:05:30,920 --> 00:05:35,400 Speaker 1: held accountable. And that is what makes me the most furious. 94 00:05:35,560 --> 00:05:38,760 Speaker 1: So that is why I say, do not get involved 95 00:05:38,760 --> 00:05:42,400 Speaker 1: in the conspiracies. Get involved in the larger conspiracy, which 96 00:05:42,440 --> 00:05:45,479 Speaker 1: is we do not believe women victims. That should be 97 00:05:45,560 --> 00:05:51,000 Speaker 1: the conspiracy. Women are being treated terribly. They're being raped 98 00:05:51,040 --> 00:05:55,320 Speaker 1: and assaulted and abused, and people are not listening to them. 99 00:05:55,600 --> 00:05:59,400 Speaker 1: And is year twenty twenty six. That is a conspiracy 100 00:05:59,400 --> 00:06:00,960 Speaker 1: that I think deserves your attention. 101 00:06:01,279 --> 00:06:01,679 Speaker 4: Agreed. 102 00:06:02,000 --> 00:06:04,800 Speaker 2: So we saw a big controversy this week where apparently 103 00:06:04,880 --> 00:06:07,880 Speaker 2: Donald Trump wanted a bunch of things named after him 104 00:06:07,920 --> 00:06:11,640 Speaker 2: and exchanged for unfreezing some funding. And this week we 105 00:06:11,680 --> 00:06:14,600 Speaker 2: saw a US judge unfreeze the funding for the Gateway Tunnel, 106 00:06:14,600 --> 00:06:17,880 Speaker 2: which would go from Central Manhattan to Union City, New 107 00:06:17,960 --> 00:06:21,400 Speaker 2: Jersey and help lots of trades move faster and really 108 00:06:21,560 --> 00:06:22,480 Speaker 2: help our economy. 109 00:06:22,640 --> 00:06:23,640 Speaker 3: What do you see it here, Molly. 110 00:06:24,160 --> 00:06:27,599 Speaker 1: It comes back to this central law of Trumpism, which 111 00:06:27,640 --> 00:06:30,320 Speaker 1: is Trump is trying to do a lot of illegal shit, 112 00:06:30,800 --> 00:06:34,400 Speaker 1: and if you fight back in the courts, he loses. 113 00:06:34,839 --> 00:06:37,279 Speaker 1: And that's what this is, right, Donald Trump said, I'll 114 00:06:37,279 --> 00:06:40,120 Speaker 1: give you the money. It's not his to give. Okay, 115 00:06:40,560 --> 00:06:44,599 Speaker 1: it's federal money put together by the federal government and 116 00:06:44,680 --> 00:06:48,480 Speaker 1: Donald Trump briefly as president again, but that does not 117 00:06:48,680 --> 00:06:51,960 Speaker 1: make this money his. And like, the problem with the 118 00:06:51,960 --> 00:06:55,640 Speaker 1: Trump cryptocracy is that my man behaves like a monarch 119 00:06:55,760 --> 00:06:57,960 Speaker 1: and everyone's like, oh, it's his to give. It's not 120 00:06:58,040 --> 00:06:59,760 Speaker 1: his to give. I mean, this is one of the 121 00:06:59,760 --> 00:07:01,839 Speaker 1: big problems of where we are at this moment. A 122 00:07:01,839 --> 00:07:04,800 Speaker 1: lot of this is just norms and not laws. So 123 00:07:05,000 --> 00:07:07,440 Speaker 1: we expect our president to behave a certain way because 124 00:07:07,480 --> 00:07:10,720 Speaker 1: of norms, when in fact we should have laws in 125 00:07:10,840 --> 00:07:14,400 Speaker 1: place because when you get someone who doesn't follow laws, 126 00:07:14,480 --> 00:07:17,679 Speaker 1: like oh, Donald Trump, this is what happens. So again 127 00:07:17,880 --> 00:07:21,000 Speaker 1: the judge unfreezes the funding. It was frozen by Trump. 128 00:07:21,040 --> 00:07:24,640 Speaker 1: It's sixteen billion dollars. It was allocated to this tunnel project. 129 00:07:24,800 --> 00:07:28,200 Speaker 1: Donald Trump has been playing I'm not going to give 130 00:07:28,240 --> 00:07:31,120 Speaker 1: it to you unless he told Chuck Schumer that he 131 00:07:31,200 --> 00:07:35,400 Speaker 1: want a Penn station named after him. Again, why anyone 132 00:07:35,440 --> 00:07:38,320 Speaker 1: would want Penn station named after you, I don't know, 133 00:07:38,600 --> 00:07:41,040 Speaker 1: but it's a good point, Like none of this is his. 134 00:07:41,480 --> 00:07:43,840 Speaker 1: You know, you just have to keep going in court. 135 00:07:44,160 --> 00:07:47,440 Speaker 1: The illegal stuff will not stay. You know, we do 136 00:07:47,560 --> 00:07:51,600 Speaker 1: think God have judges and laws and we are not 137 00:07:51,720 --> 00:07:55,040 Speaker 1: of an honor republic, and so people have to just fight. 138 00:07:55,240 --> 00:07:58,240 Speaker 1: And you know it's unfrozen. They'll be able to eventually 139 00:07:58,240 --> 00:08:01,200 Speaker 1: build this tunnel. Donald Trump will costs us all billions 140 00:08:01,200 --> 00:08:03,600 Speaker 1: of dollars. And you know he's doing this because he's 141 00:08:03,640 --> 00:08:06,120 Speaker 1: mad that none of us voted for him. Because he's 142 00:08:06,160 --> 00:08:09,320 Speaker 1: a fucking criminal, and that is where we are, so 143 00:08:09,520 --> 00:08:12,320 Speaker 1: none of us should be surprised. It's just what he does. 144 00:08:12,360 --> 00:08:14,480 Speaker 1: This is how we got here, this is what it is, 145 00:08:14,600 --> 00:08:18,240 Speaker 1: and we need our Democrats to fight, fight, fight and 146 00:08:18,360 --> 00:08:22,960 Speaker 1: protect our norms and institutions and also you know, everything 147 00:08:22,960 --> 00:08:24,200 Speaker 1: else and everyone else. 148 00:08:24,520 --> 00:08:26,640 Speaker 2: So to go back to the beginning of this broadcast 149 00:08:26,680 --> 00:08:29,080 Speaker 2: where we were talking about AI and how it's pretty incompetent. 150 00:08:29,160 --> 00:08:31,440 Speaker 2: You know what, I don't want it doing what scanting 151 00:08:31,600 --> 00:08:36,079 Speaker 2: photos of ice protesters and then removing people at scans 152 00:08:36,080 --> 00:08:38,520 Speaker 2: from the TSA pre check. It seems like nothing will 153 00:08:38,520 --> 00:08:39,920 Speaker 2: go wrong with that, definitely not. 154 00:08:40,280 --> 00:08:42,560 Speaker 1: The other thing that's kind of amazing about it is 155 00:08:42,600 --> 00:08:45,920 Speaker 1: it's such a like trumpy idea. It's like, we're going 156 00:08:46,000 --> 00:08:49,240 Speaker 1: to make it harder for them in the airport. That's 157 00:08:49,480 --> 00:08:51,600 Speaker 1: how we're going to stick it to them. It's just 158 00:08:51,640 --> 00:08:57,000 Speaker 1: a completely stupid I think that this is very stupid. 159 00:08:57,200 --> 00:08:59,720 Speaker 1: I think that it's not going to work. I think 160 00:08:59,760 --> 00:09:02,600 Speaker 1: that at every point they're trying to interest closer to 161 00:09:02,640 --> 00:09:05,560 Speaker 1: a police state. The good news is the technology is 162 00:09:05,559 --> 00:09:08,720 Speaker 1: not there. But next time there's going to be a 163 00:09:08,760 --> 00:09:11,120 Speaker 1: president and the technology is going to be there. And 164 00:09:11,160 --> 00:09:13,920 Speaker 1: the question is when we have the laws in place 165 00:09:14,040 --> 00:09:16,920 Speaker 1: to prevent him from doing the kind of stuff that 166 00:09:16,960 --> 00:09:19,120 Speaker 1: Trump has tried to do here. And I think that 167 00:09:19,160 --> 00:09:21,400 Speaker 1: should be something that all of us are thinking about 168 00:09:21,480 --> 00:09:27,600 Speaker 1: all the time. Rick Wilson is the founder of the 169 00:09:27,600 --> 00:09:30,520 Speaker 1: Lincoln Project and the host of the Enemy's List. Rick Wilson, 170 00:09:31,440 --> 00:09:31,800 Speaker 1: how are you? 171 00:09:32,240 --> 00:09:33,880 Speaker 4: I am. 172 00:09:35,040 --> 00:09:40,080 Speaker 1: Very cold in the northeast here. Things are not Mistakes 173 00:09:40,080 --> 00:09:44,480 Speaker 1: were made, and we all now we're long underwear speaking 174 00:09:44,520 --> 00:09:48,959 Speaker 1: of mistakes being made. Tell us the Gabbard. First of all, 175 00:09:49,559 --> 00:09:52,480 Speaker 1: you know some of the worst people in Trump's administration. 176 00:09:52,720 --> 00:09:55,880 Speaker 1: I take no pleasure to say this are Democrats. Talk 177 00:09:55,960 --> 00:09:59,800 Speaker 1: us through this whistleblower. 178 00:10:00,679 --> 00:10:04,640 Speaker 4: Sure, sure, so. Last year, sometime prior to June sixth, 179 00:10:04,720 --> 00:10:07,880 Speaker 4: we know that part the National Security Agency picked up 180 00:10:08,720 --> 00:10:13,679 Speaker 4: a person quote unquote close to Trump discussing intelligence matters 181 00:10:13,840 --> 00:10:19,480 Speaker 4: concerning Iran with someone in a hostile foreign intelligence service. 182 00:10:20,400 --> 00:10:25,400 Speaker 4: That's what we know so far. Gabbered, instead of reporting 183 00:10:25,440 --> 00:10:29,480 Speaker 4: this appropriately throughout the intelligence community to develop countermeasures for it, 184 00:10:29,480 --> 00:10:34,360 Speaker 4: et cetera, took it directly to Susie Wiles. This is 185 00:10:34,400 --> 00:10:36,800 Speaker 4: way outside the normal procedure that one would do on this, 186 00:10:37,840 --> 00:10:43,040 Speaker 4: and gave it to Susie Wiles for unknown purposes. After that, 187 00:10:44,040 --> 00:10:46,560 Speaker 4: someone in the intelligence community said, whatever happened to that? 188 00:10:46,720 --> 00:10:49,200 Speaker 4: And they were told basically shut the fuck up and 189 00:10:49,400 --> 00:10:51,880 Speaker 4: to pay no attention. And so they reported it through 190 00:10:51,960 --> 00:10:54,640 Speaker 4: the inspector general system in the intelligence community in the 191 00:10:54,720 --> 00:10:58,280 Speaker 4: d and I apparently Tulsi Gabbard decided not to follow 192 00:10:58,280 --> 00:11:00,840 Speaker 4: the rules and the law where that has to be 193 00:11:00,880 --> 00:11:04,760 Speaker 4: made known within thirty days to the Gang of Eight 194 00:11:04,800 --> 00:11:08,760 Speaker 4: in Congress, this the eight senior bipartisan Intelligence and Defense 195 00:11:08,960 --> 00:11:12,160 Speaker 4: Oversight members. Because of that, we had to wait a 196 00:11:12,280 --> 00:11:16,559 Speaker 4: year almost until we found out about this. And Gabbard 197 00:11:16,600 --> 00:11:19,120 Speaker 4: has now been out lying about the sequence of events, 198 00:11:19,200 --> 00:11:22,240 Speaker 4: lying about the timeline, lying about what the Inspector General said, 199 00:11:22,280 --> 00:11:25,160 Speaker 4: And she is in some deep, deep, deep deep shit. 200 00:11:25,880 --> 00:11:28,400 Speaker 4: This is one of those things that's like the intelligence community. 201 00:11:28,400 --> 00:11:31,880 Speaker 4: People that are still around, they give a damn about 202 00:11:31,880 --> 00:11:33,920 Speaker 4: their job, they give a damn about the country and 203 00:11:33,960 --> 00:11:36,520 Speaker 4: the security, and she has put us in danger. 204 00:11:36,960 --> 00:11:40,520 Speaker 1: There are sort of all these different national security protocols 205 00:11:40,559 --> 00:11:45,880 Speaker 1: and ways that it's supposed to be done. Tulsey flouted those. 206 00:11:46,600 --> 00:11:50,880 Speaker 1: But also the security the information that's been leaked or 207 00:11:50,960 --> 00:11:53,520 Speaker 1: had that she leaked is like the highest level. Can 208 00:11:53,559 --> 00:11:54,080 Speaker 1: you explain that. 209 00:11:54,679 --> 00:11:57,720 Speaker 4: Yeah, this is something that is so compartmentalized. So folks 210 00:11:57,720 --> 00:12:01,280 Speaker 4: have all heard about secret and top secret, and a 211 00:12:01,320 --> 00:12:03,199 Speaker 4: lot of people now have heard about what they call 212 00:12:03,360 --> 00:12:08,520 Speaker 4: sci compartmentalized information, and a compartmentalized program could have a 213 00:12:08,600 --> 00:12:11,200 Speaker 4: thousand people in it, or it could have four people 214 00:12:11,240 --> 00:12:14,280 Speaker 4: in it. This is at a level apparently that is 215 00:12:14,320 --> 00:12:18,400 Speaker 4: so above and beyond because of both the nature of 216 00:12:18,440 --> 00:12:22,240 Speaker 4: the target whoever this foreign intelligence person was, and the 217 00:12:22,360 --> 00:12:27,560 Speaker 4: collection system from the NESSA that got the information. So 218 00:12:27,720 --> 00:12:32,160 Speaker 4: this is something incredibly sensitive Crown Jewels level stuff, to 219 00:12:32,200 --> 00:12:34,800 Speaker 4: the point where it could not have been transmitted outside 220 00:12:34,800 --> 00:12:37,840 Speaker 4: of a group of probably like a dozen people in 221 00:12:37,920 --> 00:12:42,640 Speaker 4: the entire government. This is a very like blazing red 222 00:12:42,679 --> 00:12:47,720 Speaker 4: flag about Gabbard's inability and lack of temperament to do 223 00:12:47,760 --> 00:12:48,240 Speaker 4: this job. 224 00:12:48,679 --> 00:12:53,440 Speaker 1: Is it worse or better than being at than adding 225 00:12:53,679 --> 00:12:57,520 Speaker 1: the editorom chief of The Atlantic to a signal chat 226 00:12:57,760 --> 00:12:59,000 Speaker 1: about bombing around? 227 00:12:59,040 --> 00:13:00,559 Speaker 4: This is wild worse. 228 00:13:01,800 --> 00:13:04,160 Speaker 1: So how bad can it be? That seems good. 229 00:13:04,120 --> 00:13:07,920 Speaker 4: Because that foreign intelligence person almost certainly will now become 230 00:13:07,960 --> 00:13:09,960 Speaker 4: aware that we are targeting them in a certain way 231 00:13:10,480 --> 00:13:14,280 Speaker 4: using a certain method, they will communicate differently. The other 232 00:13:14,360 --> 00:13:17,880 Speaker 4: part of this is what it implicates in the Trump administration. 233 00:13:19,160 --> 00:13:22,760 Speaker 4: We have seen in what we know of the complaints 234 00:13:22,800 --> 00:13:28,160 Speaker 4: so far, is that the person they were talking to 235 00:13:28,280 --> 00:13:33,000 Speaker 4: was quote close to Trump. This does not mean it 236 00:13:33,040 --> 00:13:36,800 Speaker 4: is a government official, given Donald Trump's propensity for using 237 00:13:36,960 --> 00:13:41,520 Speaker 4: outside actors Steve Whitcoff, Jared Kushner, et cetera, who are 238 00:13:41,520 --> 00:13:46,560 Speaker 4: not government officials to conduct diplomacy and intelligence and foreign policy. 239 00:13:46,840 --> 00:13:50,360 Speaker 4: I'm deeply concerned that somebody inside the Trump government told 240 00:13:51,320 --> 00:13:53,400 Speaker 4: what say it was Jared. I have no evidence that 241 00:13:53,440 --> 00:13:56,840 Speaker 4: it was Jared someone, but let's say it's someone like 242 00:13:56,880 --> 00:14:01,640 Speaker 4: a Jared who gets on the phone and calls another person. 243 00:14:02,240 --> 00:14:04,160 Speaker 1: By the way, many investors, did you. 244 00:14:04,080 --> 00:14:08,240 Speaker 4: Hear about this? Correct? Did you hear about this thing 245 00:14:08,240 --> 00:14:11,400 Speaker 4: that we're doing. I don't think this that's. 246 00:14:11,160 --> 00:14:12,720 Speaker 1: The scenario you're describing. 247 00:14:12,840 --> 00:14:14,760 Speaker 4: I don't think it right. I don't think it's Jared 248 00:14:15,120 --> 00:14:17,400 Speaker 4: per se, but it is. I think it is a 249 00:14:17,400 --> 00:14:20,400 Speaker 4: person in that category, most likely, because if it had 250 00:14:20,440 --> 00:14:22,360 Speaker 4: been a government official, they would have said a Trump 251 00:14:22,360 --> 00:14:23,600 Speaker 4: administration official in the. 252 00:14:23,560 --> 00:14:25,960 Speaker 1: Compute, and they would have been fired. 253 00:14:26,000 --> 00:14:29,880 Speaker 4: Hypothetically in a normal admiration, in a world where you 254 00:14:29,960 --> 00:14:31,360 Speaker 4: and I were in charge, they'd be right. 255 00:14:31,880 --> 00:14:33,920 Speaker 1: I'm going to actually want to move on for a 256 00:14:33,960 --> 00:14:36,640 Speaker 1: minute to something that is not on our schedule, but 257 00:14:36,720 --> 00:14:39,360 Speaker 1: I think is important. Is like this week, there was 258 00:14:39,560 --> 00:14:42,360 Speaker 1: huge reporting out of the Wall Street Journal about the 259 00:14:42,400 --> 00:14:49,920 Speaker 1: crypto scam amazing and how the Trump kids, the boys, 260 00:14:50,280 --> 00:14:56,360 Speaker 1: even Barren are involved in this making handover first money 261 00:14:56,880 --> 00:15:00,720 Speaker 1: in crypto and then cashing out before the investors. 262 00:15:01,080 --> 00:15:04,240 Speaker 4: Yes, you know why they're Actually they may not be 263 00:15:04,280 --> 00:15:06,920 Speaker 4: a smart family, but they recognize when they're in a 264 00:15:07,000 --> 00:15:09,680 Speaker 4: con and they're gonna rug pull people, they need to 265 00:15:09,680 --> 00:15:11,160 Speaker 4: get out before the rug gets pulled. 266 00:15:11,960 --> 00:15:15,640 Speaker 1: But half the rug was sold to the United Arab Emirates. 267 00:15:15,920 --> 00:15:19,960 Speaker 4: Discuss one of those many many things where if you 268 00:15:20,080 --> 00:15:24,200 Speaker 4: added up all the bs that the House Oversight Committee 269 00:15:24,320 --> 00:15:27,640 Speaker 4: claimed that Hunter Biden was involved in, they said, oh, 270 00:15:27,720 --> 00:15:30,320 Speaker 4: Hunter Biden and the Biden family brought in twenty seven 271 00:15:30,360 --> 00:15:31,840 Speaker 4: million dollars. 272 00:15:31,640 --> 00:15:32,800 Speaker 1: The Biden crime family. 273 00:15:32,880 --> 00:15:36,400 Speaker 4: Biden crime family. Yes, exactly twenty seven million dollars so far, 274 00:15:36,640 --> 00:15:39,440 Speaker 4: as the Times outlined, we're talking about five hundred million, 275 00:15:39,480 --> 00:15:41,840 Speaker 4: five point fifty. I think it was from the UAE, 276 00:15:42,160 --> 00:15:45,040 Speaker 4: from the Shadowy Prince as they called him, who runs 277 00:15:45,080 --> 00:15:48,280 Speaker 4: the UA's intelligence services, because that couldn't possibly be a 278 00:15:48,280 --> 00:15:50,880 Speaker 4: conflict at all, who also does a lot of business 279 00:15:50,960 --> 00:15:51,560 Speaker 4: with China. 280 00:15:52,360 --> 00:15:56,760 Speaker 1: Yeah no, no, I mean the klepto krat stuff. The 281 00:15:56,840 --> 00:16:03,840 Speaker 1: kryptocracy is just astounding. And it's so astounding that Andrew 282 00:16:03,920 --> 00:16:08,160 Speaker 1: McCarthy talk us through that, because that is so when 283 00:16:08,200 --> 00:16:09,360 Speaker 1: you've lost. 284 00:16:09,640 --> 00:16:12,160 Speaker 4: From yeah, lost Andrew McCarty. Now look, let me let 285 00:16:12,200 --> 00:16:16,280 Speaker 4: me describe it. Andrew. Andy McCarthy is I know, you know, 286 00:16:16,960 --> 00:16:23,440 Speaker 4: Andrew McCarthy is a Republican attorney, former DJ Guy conservative, 287 00:16:24,200 --> 00:16:28,440 Speaker 4: no fan of either Barack Obama or Joe Biden by 288 00:16:28,800 --> 00:16:32,920 Speaker 4: any conceivable circumstances. But I will give Andy credit on something. 289 00:16:33,560 --> 00:16:37,080 Speaker 4: He's been a very straight shooter on the Trump corruption issue. 290 00:16:37,240 --> 00:16:40,760 Speaker 4: And he has said quite openly and to the and 291 00:16:40,800 --> 00:16:43,680 Speaker 4: to the very ugly reaction of their readers, to the 292 00:16:43,720 --> 00:16:47,120 Speaker 4: readers of National Review, this corruption stinks on ice. It 293 00:16:47,200 --> 00:16:51,680 Speaker 4: is unbelievably enormous and consequential and dangerous for this country. 294 00:16:52,160 --> 00:16:58,040 Speaker 4: And Donald Trump is running basically a racket. And he 295 00:16:58,080 --> 00:17:00,400 Speaker 4: wrote a very very strong piece about it. You know, 296 00:17:00,440 --> 00:17:03,840 Speaker 4: he continued to condemn the Biden's fine whatever, but he 297 00:17:03,840 --> 00:17:07,560 Speaker 4: he laid out this unbelievably powerful case against Trump. And 298 00:17:07,720 --> 00:17:10,840 Speaker 4: the right wing reaction has been very like, how dare you, sir, 299 00:17:10,960 --> 00:17:13,280 Speaker 4: point out the criminality of our criminal. 300 00:17:13,400 --> 00:17:15,800 Speaker 1: Yeah, And and I mean I think that's the problem 301 00:17:15,840 --> 00:17:18,960 Speaker 1: that you see these people are incentivized to go along 302 00:17:19,000 --> 00:17:23,639 Speaker 1: with everything because the base is so radicalized and the 303 00:17:23,640 --> 00:17:28,080 Speaker 1: base is so convinced that anything any kind of criticism 304 00:17:28,119 --> 00:17:31,640 Speaker 1: of Trump is you know, but I want you. 305 00:17:31,640 --> 00:17:34,240 Speaker 4: To get They think it gives the Libs a. 306 00:17:34,200 --> 00:17:38,679 Speaker 1: Win right, exactly as opposed, and the road to just 307 00:17:38,800 --> 00:17:44,360 Speaker 1: a complete dictatorship is paved with don't let win right 308 00:17:44,640 --> 00:17:49,960 Speaker 1: and and just this insane propaganda that Trump world needs. 309 00:17:50,240 --> 00:17:54,000 Speaker 1: And by the way, I mean that's why I want 310 00:17:54,040 --> 00:17:58,080 Speaker 1: to get to this Renee Good stuff, because. 311 00:17:57,880 --> 00:17:58,640 Speaker 3: Yeah, there's more. 312 00:17:59,040 --> 00:18:01,560 Speaker 1: It's think every day is just a nightmare of news. 313 00:18:01,680 --> 00:18:08,119 Speaker 1: Renee Good, she was murdered by Ross Jonathan Ross, an 314 00:18:08,160 --> 00:18:12,359 Speaker 1: ice agent. Now there was that one video where it 315 00:18:12,600 --> 00:18:16,199 Speaker 1: almost looked like she They had one video which was 316 00:18:16,240 --> 00:18:19,359 Speaker 1: from like ten miles away that made it look like 317 00:18:19,440 --> 00:18:23,040 Speaker 1: maybe she was trying to hit him, But every other 318 00:18:23,160 --> 00:18:24,960 Speaker 1: piece of forensic evin and shows. 319 00:18:24,720 --> 00:18:26,080 Speaker 4: It exactly was the case. 320 00:18:26,400 --> 00:18:29,199 Speaker 1: Yeah, she was turning the car, she was driving away. 321 00:18:29,560 --> 00:18:33,320 Speaker 1: She was I'm not mad, bro, and he was any shotter. 322 00:18:33,720 --> 00:18:37,280 Speaker 1: So talk to us about cash Battel. 323 00:18:39,359 --> 00:18:45,600 Speaker 4: We now know that when the FBI agents assigned to 324 00:18:45,640 --> 00:18:50,879 Speaker 4: the Minneapolis Field office began to do what they were 325 00:18:50,880 --> 00:18:54,760 Speaker 4: required by law to do, which is to their education, 326 00:18:55,160 --> 00:18:58,080 Speaker 4: their jobs, to open an investigation of the killing of 327 00:18:58,080 --> 00:19:01,280 Speaker 4: an American citizen by federal law enforcement officers. They were 328 00:19:01,320 --> 00:19:06,560 Speaker 4: told to stand down. They were examining Renee Goods vehicle 329 00:19:06,840 --> 00:19:09,960 Speaker 4: when they were told by senior FBI agents now from reporting, 330 00:19:10,040 --> 00:19:14,080 Speaker 4: including cash Ptel himself, to stop. Why would he order that? 331 00:19:14,200 --> 00:19:16,240 Speaker 4: Why would he wandered that, Molly, he would order that 332 00:19:16,320 --> 00:19:19,000 Speaker 4: because they understand what they did. They understood right away 333 00:19:19,080 --> 00:19:22,359 Speaker 4: what happened. They understand that if you, if you allow 334 00:19:22,440 --> 00:19:26,680 Speaker 4: the process of the law to play out, Jonathan Ross 335 00:19:26,680 --> 00:19:29,159 Speaker 4: and the other FBI or the other ICE agents that 336 00:19:29,200 --> 00:19:32,320 Speaker 4: were in the street that day are going to prison. Yeah, 337 00:19:32,320 --> 00:19:36,040 Speaker 4: and Trump cannot afford to let Jonathan Ross or the 338 00:19:36,040 --> 00:19:39,399 Speaker 4: guys who shot Alex Pretty go to prison. His base 339 00:19:40,040 --> 00:19:42,560 Speaker 4: has been conditioned, like you just talked about. The insane 340 00:19:42,560 --> 00:19:47,120 Speaker 4: propaganda has told seventy million Americans who loved Donald Trump 341 00:19:47,200 --> 00:19:50,160 Speaker 4: that Alex Pretty was a murderer of domestic terrorists coming 342 00:19:50,200 --> 00:19:53,280 Speaker 4: there to slaughter ICE agents, and Renee Good was a 343 00:19:53,400 --> 00:19:58,439 Speaker 4: radical left wing paid activist, lesbian danger to the lives 344 00:19:58,440 --> 00:20:00,920 Speaker 4: of these poor innocent ICE agents trying to do their job. 345 00:20:01,119 --> 00:20:06,359 Speaker 4: That propaganda machine cannot have those people go down. And 346 00:20:06,400 --> 00:20:12,280 Speaker 4: so that's why cash Bettel directly intervened, suborting a legitimate 347 00:20:13,040 --> 00:20:15,639 Speaker 4: civil rights and law enforcement investigation into the murder of 348 00:20:15,640 --> 00:20:19,560 Speaker 4: Renee Good to protect Donald Trump, and to protect worse 349 00:20:19,600 --> 00:20:22,440 Speaker 4: than just protect Donald Trump, to protect the Magan narrative. 350 00:20:22,720 --> 00:20:24,840 Speaker 4: If you're saddened and disgusted by it, folks, that's the 351 00:20:24,880 --> 00:20:26,200 Speaker 4: reaction of a normal human being. 352 00:20:26,480 --> 00:20:30,439 Speaker 1: I also think that much of the people in Trump's 353 00:20:30,480 --> 00:20:33,560 Speaker 1: second administration are here to cover for him, Yeah, cover 354 00:20:33,720 --> 00:20:35,080 Speaker 1: for his bad policy. 355 00:20:35,400 --> 00:20:36,920 Speaker 4: Abler, Right. 356 00:20:37,200 --> 00:20:40,040 Speaker 1: So it's either you know, they're covering for bad policy 357 00:20:40,119 --> 00:20:43,000 Speaker 1: and they're covering for poorly trained ice agents, or they're 358 00:20:43,000 --> 00:20:46,360 Speaker 1: covering for kleptocracy, or they're I mean, like the central 359 00:20:46,520 --> 00:20:51,040 Speaker 1: theme of this conversation right now is watching members of 360 00:20:51,119 --> 00:20:55,440 Speaker 1: Trump administration. And again, Tulsea Gabbert is a good example. 361 00:20:55,560 --> 00:21:01,080 Speaker 1: Like Tulsey knew that somebody in that talk with someone 362 00:21:01,280 --> 00:21:04,400 Speaker 1: that what she was put in place to keep from 363 00:21:04,440 --> 00:21:06,960 Speaker 1: getting in trouble wick Cough. 364 00:21:06,800 --> 00:21:09,120 Speaker 4: If it's a if it's a Cushner, if it's. 365 00:21:08,920 --> 00:21:10,200 Speaker 1: A whoever, whoever. 366 00:21:11,040 --> 00:21:15,800 Speaker 4: She she put politics above national security. 367 00:21:15,800 --> 00:21:21,240 Speaker 1: Right, And cash Battel put law and order, law and order, 368 00:21:21,400 --> 00:21:26,600 Speaker 1: and at every point here what we're seeing is an 369 00:21:26,640 --> 00:21:31,200 Speaker 1: administration that exists largely to protect Trump and protect trump Ism. 370 00:21:31,480 --> 00:21:35,800 Speaker 1: And by the way, it's a stark contrast to the Democrats, 371 00:21:36,200 --> 00:21:40,119 Speaker 1: who are I mean, what's going on. 372 00:21:41,280 --> 00:21:44,720 Speaker 4: Look, I'm going to give them props on one thing 373 00:21:45,560 --> 00:21:49,600 Speaker 4: this week because mostly my love is just tough, not 374 00:21:49,720 --> 00:21:54,640 Speaker 4: just love. But but the Democrats correctly this year held 375 00:21:54,640 --> 00:21:57,520 Speaker 4: the line on all this redistricting crap. Yes, Texas has 376 00:21:57,520 --> 00:22:01,280 Speaker 4: blown up on them and the and the whining bitches 377 00:22:01,280 --> 00:22:03,800 Speaker 4: like ted cruising, how dare you do this? But is 378 00:22:03,840 --> 00:22:10,120 Speaker 4: it redising? Which, yeah, yeah, you started it, We finished it. 379 00:22:10,200 --> 00:22:12,560 Speaker 1: Sorry Pale Virginia. 380 00:22:13,119 --> 00:22:16,520 Speaker 4: But look, they need to hold the line on on 381 00:22:16,560 --> 00:22:20,120 Speaker 4: this Epstein stuff and on Ice. They need to keep 382 00:22:20,520 --> 00:22:23,720 Speaker 4: the pressure up, not let it go down. And I 383 00:22:23,800 --> 00:22:26,520 Speaker 4: know the natural instinct of people like Chuck Schumer is like, 384 00:22:26,720 --> 00:22:30,000 Speaker 4: let's let let's breathe, let's let's all sit and reason together. 385 00:22:30,480 --> 00:22:34,120 Speaker 1: Right, that's a by gone No, my. 386 00:22:34,160 --> 00:22:38,080 Speaker 4: Honorable friend across the aisle. No, you have no honorable 387 00:22:38,119 --> 00:22:41,240 Speaker 4: friends across the aisle anymore, buddy, Yeah, they don't exist. 388 00:22:41,760 --> 00:22:45,000 Speaker 1: Yeah, And I think there will be a moment when 389 00:22:45,080 --> 00:22:50,880 Speaker 1: things start to shift back to what American democracy once 390 00:22:51,200 --> 00:22:56,480 Speaker 1: was in the you know progs would and there is 391 00:22:56,560 --> 00:22:59,879 Speaker 1: going to need to be real introspection of how we 392 00:23:00,080 --> 00:23:03,800 Speaker 1: got here. And it means that, as you know, even 393 00:23:03,840 --> 00:23:08,800 Speaker 1: though Trump was the kleptocrat that you know that was 394 00:23:08,840 --> 00:23:12,919 Speaker 1: that that really moved us to the next level of 395 00:23:13,320 --> 00:23:17,720 Speaker 1: democratic rod there were there are ways in which we 396 00:23:18,080 --> 00:23:22,119 Speaker 1: failed to regulate that Goddess here hundreds. 397 00:23:21,600 --> 00:23:27,480 Speaker 4: Of different examples in our current moment, Molly where and 398 00:23:27,600 --> 00:23:34,320 Speaker 4: it's not always, and it's not universal. Where where normalcy 399 00:23:34,400 --> 00:23:37,280 Speaker 4: bias made Democrats think, Okay, well, I you know, the 400 00:23:37,520 --> 00:23:40,840 Speaker 4: Republican My Republican buddies are faking this. It's okay, we'll 401 00:23:40,840 --> 00:23:44,480 Speaker 4: work it out. Or hundreds of examples of normalcy bias 402 00:23:44,520 --> 00:23:47,879 Speaker 4: with Republicans who thought, you know, we can uh, he 403 00:23:48,200 --> 00:23:50,960 Speaker 4: wants to do the silly shit on Twitter, will run 404 00:23:51,000 --> 00:23:54,560 Speaker 4: the government. None of those things held up. And they 405 00:23:54,560 --> 00:23:57,840 Speaker 4: didn't hold up because as an as a country that 406 00:23:58,119 --> 00:24:03,479 Speaker 4: once believed institutions had power to keep things glued together, 407 00:24:04,440 --> 00:24:08,560 Speaker 4: those institutions kept handing Trump individually more and more and 408 00:24:08,600 --> 00:24:11,159 Speaker 4: more and more power, whether it was the Supreme Court, 409 00:24:11,600 --> 00:24:14,720 Speaker 4: whether it was Congress, whether it was the media, all 410 00:24:14,760 --> 00:24:21,320 Speaker 4: of these institutions that should have been fighting instead said, 411 00:24:21,400 --> 00:24:23,680 Speaker 4: you know what, it's too much noise, it's too loud, 412 00:24:23,720 --> 00:24:26,440 Speaker 4: there's too much risk, there's too much pain. I don't 413 00:24:26,440 --> 00:24:28,119 Speaker 4: want to be the one who goes out and loses 414 00:24:28,160 --> 00:24:31,560 Speaker 4: my job over over telling you know the truth about 415 00:24:31,560 --> 00:24:34,520 Speaker 4: this guy, and over and over again. I think that 416 00:24:34,680 --> 00:24:36,840 Speaker 4: really has something. I think you're right, we have to 417 00:24:36,880 --> 00:24:39,800 Speaker 4: We're gonna have to have a painful reconciliation when this 418 00:24:39,920 --> 00:24:43,480 Speaker 4: is over Nuremberg and it's gonna Yeah, it's gonna have 419 00:24:43,520 --> 00:24:46,240 Speaker 4: to people unless some people go to. 420 00:24:46,320 --> 00:24:49,040 Speaker 1: Jail, yeah over this and will keep happening. 421 00:24:49,280 --> 00:24:53,359 Speaker 4: It will keep happening. The incentive structure of bad action 422 00:24:54,080 --> 00:24:57,520 Speaker 4: right now has not yet met a single person being 423 00:24:57,520 --> 00:24:59,080 Speaker 4: punished for the bad actions. 424 00:24:59,359 --> 00:25:03,679 Speaker 1: That's right. I think we have to realize that it 425 00:25:03,840 --> 00:25:07,160 Speaker 1: has to change. I want to talk to you about 426 00:25:07,320 --> 00:25:12,400 Speaker 1: the This I think is actually kind of a good thing. 427 00:25:12,840 --> 00:25:18,399 Speaker 1: So Donald Trump did a racist, disgusting thing, which is 428 00:25:18,840 --> 00:25:20,600 Speaker 1: in case you're wondering his brand. 429 00:25:21,600 --> 00:25:22,760 Speaker 4: This should not surprise anyone. 430 00:25:22,960 --> 00:25:26,800 Speaker 1: Go on, Yeah, racist disgusting thing, posting a photo of 431 00:25:27,359 --> 00:25:31,000 Speaker 1: the Obamas apes, a video that had the Obamas apes. 432 00:25:31,240 --> 00:25:34,120 Speaker 1: I think this is meaningful, and you and I both 433 00:25:34,160 --> 00:25:36,399 Speaker 1: agree he was condemned. 434 00:25:37,280 --> 00:25:38,720 Speaker 4: Even by a lot of Republicans. 435 00:25:39,240 --> 00:25:40,600 Speaker 1: Yeah, that's what I'm talking about. 436 00:25:40,680 --> 00:25:42,360 Speaker 3: I mean they. 437 00:25:41,920 --> 00:25:43,800 Speaker 4: Didn't and a lot of them didn't couch it in 438 00:25:43,840 --> 00:25:47,720 Speaker 4: the usual like this can't possibly be my beloved Donald Trump, 439 00:25:47,840 --> 00:25:51,040 Speaker 4: racial healer. Most of them like this is disgusting. Take 440 00:25:51,080 --> 00:25:51,840 Speaker 4: it the fuck down. 441 00:25:52,320 --> 00:25:56,359 Speaker 1: So we had Susan Collins, we had Tim Scott. So 442 00:25:56,440 --> 00:25:59,160 Speaker 1: what do you think? I mean, I don't think. Look, 443 00:25:59,440 --> 00:26:01,560 Speaker 1: they know he's a racist. He does a lot of 444 00:26:01,600 --> 00:26:05,879 Speaker 1: disgusting shit all the time. I think they see the 445 00:26:05,920 --> 00:26:06,920 Speaker 1: poll numbers. 446 00:26:07,400 --> 00:26:10,200 Speaker 4: I think you are absolutely correct. They see the poll 447 00:26:10,280 --> 00:26:13,119 Speaker 4: numbers and what and inside those poll numbers, And I 448 00:26:13,160 --> 00:26:15,440 Speaker 4: know this is a weird, like flashback to that redistricting 449 00:26:15,440 --> 00:26:18,080 Speaker 4: conversation we were just having. When the Texas folks built 450 00:26:18,080 --> 00:26:21,400 Speaker 4: that redistricting model, they thought all Hispanic voters will behave 451 00:26:21,480 --> 00:26:23,880 Speaker 4: like they did in twenty twenty four and they'll stick 452 00:26:23,920 --> 00:26:24,399 Speaker 4: with Trump. 453 00:26:25,000 --> 00:26:26,600 Speaker 1: Well, I don't know why they thought that. 454 00:26:27,040 --> 00:26:30,160 Speaker 4: They're just not that bright. Yeah, honestly, that's a real 455 00:26:30,280 --> 00:26:32,640 Speaker 4: that's the true answer. Now they've been in a they've 456 00:26:32,640 --> 00:26:34,880 Speaker 4: been in a super majority for so long, they're arrogant. 457 00:26:34,920 --> 00:26:37,120 Speaker 4: But inside those polling numbers, we they're seeing right now 458 00:26:37,760 --> 00:26:41,800 Speaker 4: not only have the numbers with African Americans including young men, 459 00:26:41,840 --> 00:26:43,960 Speaker 4: which is where they did make some progress in twenty four, 460 00:26:44,320 --> 00:26:46,760 Speaker 4: but all African Americans, including the people they won in 461 00:26:46,800 --> 00:26:49,320 Speaker 4: twenty four, they've gone way back in the other direction. 462 00:26:49,560 --> 00:26:52,920 Speaker 4: It's worse than it's ever been for Republicans. Hispanics are 463 00:26:53,840 --> 00:26:56,440 Speaker 4: have moved way back in most states. In a couple 464 00:26:56,440 --> 00:26:58,840 Speaker 4: of states it's still lagging a little bit, But in 465 00:26:58,920 --> 00:27:01,440 Speaker 4: most states, Hispanic have gone all the way back to 466 00:27:01,520 --> 00:27:02,960 Speaker 4: where they were, or a little worse. 467 00:27:03,600 --> 00:27:07,760 Speaker 1: Ask the Democratic Mayor of Miami. 468 00:27:08,080 --> 00:27:14,080 Speaker 4: Correct and and and the consequences of ice DHS, the 469 00:27:14,200 --> 00:27:19,119 Speaker 4: ending of the TPS program throughout the Cuban and Venezuelan communities, 470 00:27:19,600 --> 00:27:21,920 Speaker 4: all these things are rippling out right now. And that 471 00:27:22,040 --> 00:27:26,160 Speaker 4: so that damage hasn't stopped, it's only just started. And 472 00:27:26,160 --> 00:27:28,560 Speaker 4: and when you go out and you use one of 473 00:27:28,600 --> 00:27:35,080 Speaker 4: the most grotesque tropes about black Americans, mm hmm. If 474 00:27:35,080 --> 00:27:37,120 Speaker 4: you want to go back to the Jim Crow era, 475 00:27:37,200 --> 00:27:39,440 Speaker 4: are you want to go back to the to the 476 00:27:39,480 --> 00:27:42,280 Speaker 4: to the reconstruction era? What was it? What was the 477 00:27:42,320 --> 00:27:45,480 Speaker 4: image of black people that was portrayed in in newsprint 478 00:27:45,520 --> 00:27:48,480 Speaker 4: back then. It was the savage ape. It was the 479 00:27:48,800 --> 00:27:52,960 Speaker 4: it was the mindless you know, monkey raping women. It's 480 00:27:53,000 --> 00:27:57,400 Speaker 4: such a shitty, horrible, ancient trope. And by the way, 481 00:27:57,440 --> 00:28:00,840 Speaker 4: Trump's old enough to kind of remember some of that stuff. Yeah, 482 00:28:01,160 --> 00:28:05,560 Speaker 4: that was that had not vanished from the white discourse 483 00:28:05,640 --> 00:28:09,760 Speaker 4: about race, even in Queens in the nineteen fifties when 484 00:28:09,800 --> 00:28:10,680 Speaker 4: he was growing up. 485 00:28:12,000 --> 00:28:18,600 Speaker 1: Rick Wilson Mama drunk Fast. Jonathan Blitzer is a reporter 486 00:28:18,920 --> 00:28:23,359 Speaker 1: at The New Yorker. Welcome, Welcome, Jonathan, Thanks thanks for 487 00:28:23,359 --> 00:28:28,120 Speaker 1: having me tell us the story of La Monica Magiver. 488 00:28:28,600 --> 00:28:30,920 Speaker 5: Okay, the plot itself is a little complicated, which I 489 00:28:30,920 --> 00:28:34,040 Speaker 5: think is actually part of the point of why the 490 00:28:34,080 --> 00:28:36,600 Speaker 5: administration has gone after her in the first place. Lamonica 491 00:28:36,680 --> 00:28:41,320 Speaker 5: MacIvor is a first term Democratic congresswoman from Newark and 492 00:28:41,640 --> 00:28:45,040 Speaker 5: has been a pretty outspoken advocate of immigrants rights. Not 493 00:28:45,200 --> 00:28:48,480 Speaker 5: someone by the way, who campaigned on this when she 494 00:28:48,560 --> 00:28:50,760 Speaker 5: first ran for office. This is an issue that I 495 00:28:50,760 --> 00:28:52,640 Speaker 5: think kind of fell in her lap because she saw 496 00:28:52,840 --> 00:28:54,680 Speaker 5: the you know, the way the country was going and 497 00:28:54,720 --> 00:28:56,240 Speaker 5: what was starting to happen in her district, and so 498 00:28:56,280 --> 00:28:59,240 Speaker 5: what was happening in her district was that the first 499 00:28:59,400 --> 00:29:03,200 Speaker 5: detentions center to open under the current administration is a 500 00:29:03,200 --> 00:29:08,040 Speaker 5: place called Delaney Hall in Newark, which almost immediately is controversial, 501 00:29:08,080 --> 00:29:11,040 Speaker 5: not just because it's involved in the administration's broader sort 502 00:29:11,080 --> 00:29:14,840 Speaker 5: of mass deportation campaign, but because local officials from the 503 00:29:14,840 --> 00:29:17,960 Speaker 5: mayor's office and beyond were saying from the very beginning 504 00:29:18,480 --> 00:29:21,800 Speaker 5: that the private prison company that ran this facility, called 505 00:29:21,840 --> 00:29:26,040 Speaker 5: the Geogroup, wasn't getting any of the necessary municipal permits 506 00:29:26,080 --> 00:29:29,520 Speaker 5: for plumbing, for fire hazard, all the obvious stuff. They 507 00:29:29,560 --> 00:29:34,120 Speaker 5: were claiming that this was, you know, all happening on 508 00:29:34,160 --> 00:29:37,800 Speaker 5: an expedited basis. City authorities weren't being consulted. There was 509 00:29:37,840 --> 00:29:40,920 Speaker 5: all kinds of complaints about what was happening inside the facility, 510 00:29:41,200 --> 00:29:44,800 Speaker 5: and so on May ninth of last year, Congresswoman MacIvor 511 00:29:44,920 --> 00:29:48,280 Speaker 5: and two other Democrats showed up unannounced to take a 512 00:29:48,360 --> 00:29:50,840 Speaker 5: tour of this detention center. Now, this is something that 513 00:29:50,880 --> 00:29:53,160 Speaker 5: members of Congress have a legal right to do. It 514 00:29:53,240 --> 00:29:56,200 Speaker 5: is written into a statute. Actually, this statute grew out 515 00:29:56,200 --> 00:29:59,320 Speaker 5: of abuses committed during Trump's first term where members of 516 00:29:59,360 --> 00:30:02,520 Speaker 5: Congress based decided that you know, if Congress is going 517 00:30:02,560 --> 00:30:05,000 Speaker 5: to appropriate money to the Department for Land Security. There 518 00:30:05,000 --> 00:30:08,800 Speaker 5: need to be some basic checks and basic oversight responsibilities 519 00:30:08,800 --> 00:30:10,800 Speaker 5: that members of Congress are allowed to have, and that 520 00:30:10,840 --> 00:30:15,280 Speaker 5: if members of Congress alert detention center authorities that they're 521 00:30:15,320 --> 00:30:17,320 Speaker 5: going to show up at a given place to conduct 522 00:30:17,320 --> 00:30:19,920 Speaker 5: a tour ahead of time, then what often happens is 523 00:30:20,080 --> 00:30:23,440 Speaker 5: the conditions get sanitized, things get clean, detainees are better treated, 524 00:30:23,440 --> 00:30:26,120 Speaker 5: et cetera. And so the idea from the very beginning 525 00:30:26,280 --> 00:30:28,280 Speaker 5: was that members of Congress should have the right to 526 00:30:28,280 --> 00:30:32,000 Speaker 5: show up unannounced and give it and receive some sort 527 00:30:32,040 --> 00:30:35,280 Speaker 5: of tour of the facilities pursuant to their oversight responsibilities 528 00:30:35,280 --> 00:30:38,200 Speaker 5: in Congress. So Congresswaran MacIvor on May ninth shows up 529 00:30:38,280 --> 00:30:42,080 Speaker 5: with Bonnie Watson Coleman and Rob men Endez Junior to 530 00:30:42,160 --> 00:30:45,400 Speaker 5: conduct one of these tours, and they're basically stonewall two. 531 00:30:45,280 --> 00:30:47,400 Speaker 1: Other New Jersey congress people. 532 00:30:47,520 --> 00:30:50,280 Speaker 5: That's right, and you know, both of whom are you know, 533 00:30:50,360 --> 00:30:53,880 Speaker 5: pretty outspoken immigrants rights advocates, kind of well versed in 534 00:30:54,000 --> 00:30:55,240 Speaker 5: this procedure. 535 00:30:55,400 --> 00:30:57,360 Speaker 3: Bonnie Watson Coleman is eighty years old. 536 00:30:57,560 --> 00:31:00,480 Speaker 5: They had recently the three of them visited in another 537 00:31:00,520 --> 00:31:02,720 Speaker 5: facility in New Jersey, and. 538 00:31:02,960 --> 00:31:03,760 Speaker 3: You know, showed up. 539 00:31:03,960 --> 00:31:07,160 Speaker 5: Initially, the guard at the front kind of gave them 540 00:31:07,320 --> 00:31:09,680 Speaker 5: a little bit of a run around. Bonnie Watson Coleman, 541 00:31:09,880 --> 00:31:12,920 Speaker 5: eighty year old, sort of fierce season member of Congress, 542 00:31:13,240 --> 00:31:17,600 Speaker 5: produces a printed copy of the statute. They're eventually waved in, 543 00:31:17,840 --> 00:31:22,960 Speaker 5: given a tour. No problems this time. They're basically railroaded 544 00:31:23,040 --> 00:31:26,440 Speaker 5: and kind of given a whole run around. An hour passes, 545 00:31:26,480 --> 00:31:29,640 Speaker 5: an hour and a half pass. Still they're not granted 546 00:31:29,880 --> 00:31:34,000 Speaker 5: access to this particular facility. Congressman MacIver is especially annoyed 547 00:31:34,280 --> 00:31:38,560 Speaker 5: because months earlier, she and Menendez, the other congressman, had 548 00:31:38,600 --> 00:31:41,960 Speaker 5: actually met with ice officers in the state to talk 549 00:31:42,040 --> 00:31:45,200 Speaker 5: precisely about doing this sort of thing, and they had 550 00:31:45,240 --> 00:31:48,080 Speaker 5: both felt like those conversations went well, that they had 551 00:31:48,080 --> 00:31:50,280 Speaker 5: been totally transparent, that they had acted in good faith, 552 00:31:50,280 --> 00:31:53,200 Speaker 5: and here they were basically getting stonewalled now before they 553 00:31:53,280 --> 00:31:55,040 Speaker 5: showed up. And the reason I'm telling you this whole 554 00:31:55,040 --> 00:31:58,440 Speaker 5: plot is because it actually matters. So before they showed up, 555 00:31:58,480 --> 00:32:01,440 Speaker 5: they had coordinated with the mayor of Newark, Ross Baraka 556 00:32:01,480 --> 00:32:04,360 Speaker 5: to meet them outside the facility after they were done 557 00:32:04,400 --> 00:32:07,280 Speaker 5: with their tour for a press conference, Baraka shows up. 558 00:32:07,400 --> 00:32:09,880 Speaker 5: He doesn't see the members of Congress. He assumes that 559 00:32:09,880 --> 00:32:12,160 Speaker 5: they're finishing their tour because at this point it would 560 00:32:12,160 --> 00:32:13,640 Speaker 5: have been, you know, at least a couple of hours 561 00:32:13,680 --> 00:32:17,520 Speaker 5: since they arrived. He, while standing outside, is basically allowed 562 00:32:17,680 --> 00:32:20,920 Speaker 5: in by one of the private prison guards who mans 563 00:32:20,960 --> 00:32:24,000 Speaker 5: the outer gate of the facility. He stands basically in 564 00:32:24,040 --> 00:32:26,640 Speaker 5: the outer parking lot waiting for the members of Congress 565 00:32:26,720 --> 00:32:29,480 Speaker 5: to come out. And then what follows becomes the basis 566 00:32:29,600 --> 00:32:32,840 Speaker 5: of these criminal charges brought against Congressman MacIvor, which. 567 00:32:32,640 --> 00:32:37,040 Speaker 3: Is first a bunch of armed DHS agents march out 568 00:32:37,080 --> 00:32:39,080 Speaker 3: to the parking lot, right past the three members of 569 00:32:39,160 --> 00:32:41,720 Speaker 3: Congress who have been waiting to gain entry for this tour. 570 00:32:42,000 --> 00:32:46,120 Speaker 3: They go to arrest the mayor ross Baraka for trespassing. Now, 571 00:32:46,120 --> 00:32:48,920 Speaker 3: when they first threaten him with this arrest, he eventually, 572 00:32:49,080 --> 00:32:53,600 Speaker 3: after some initial hesitation, actually leaves the facility. The DHS 573 00:32:53,640 --> 00:32:58,160 Speaker 3: agents and in this case specifically ICE agents nevertheless go 574 00:32:58,360 --> 00:33:01,760 Speaker 3: outside the gates of the facility to public property to 575 00:33:01,960 --> 00:33:05,680 Speaker 3: arrest him on public property for trespassing. What we now 576 00:33:05,760 --> 00:33:07,800 Speaker 3: know we didn't know in the moment, but what we now. 577 00:33:07,720 --> 00:33:10,880 Speaker 5: Know based on body camera footage was that the lead 578 00:33:11,000 --> 00:33:15,400 Speaker 5: ICE agent who goes outside to make this arrest is 579 00:33:15,480 --> 00:33:18,480 Speaker 5: on the phone, and when he finishes his call, we 580 00:33:18,480 --> 00:33:20,440 Speaker 5: don't know specifically who he's on the phone with, but 581 00:33:20,480 --> 00:33:22,360 Speaker 5: when he hangs up his cell phone, he turns to 582 00:33:22,400 --> 00:33:24,960 Speaker 5: the other agents and he says to them explicitly, we 583 00:33:25,080 --> 00:33:28,320 Speaker 5: have orders from the Deputy Attorney General of the United States, 584 00:33:28,320 --> 00:33:31,760 Speaker 5: this is Todd Blanche at the Justice the number two 585 00:33:31,840 --> 00:33:35,320 Speaker 5: at the Justice Department, to go arrest the mayor of Newark, 586 00:33:35,400 --> 00:33:38,240 Speaker 5: even though he was now on public property. And so 587 00:33:39,000 --> 00:33:42,680 Speaker 5: the members of Congress who are on hand are obviously outraged. 588 00:33:42,760 --> 00:33:46,800 Speaker 5: They try to intercede. What follows is an incredibly chaotic 589 00:33:47,240 --> 00:33:47,760 Speaker 5: mess of a. 590 00:33:47,720 --> 00:33:50,840 Speaker 1: Situation which I've seen videos exactly. 591 00:33:50,560 --> 00:33:51,880 Speaker 5: And a lot of people have probably at this point 592 00:33:51,880 --> 00:33:55,400 Speaker 5: seen some snippet of video, and in the course of 593 00:33:55,560 --> 00:33:58,400 Speaker 5: this kind of general altercation is these agents try to 594 00:33:58,440 --> 00:34:03,280 Speaker 5: surround and arrest ross Broca. Congresswoman MacIver makes contact with 595 00:34:03,440 --> 00:34:06,600 Speaker 5: two of the ICE agents at two different moments in 596 00:34:06,640 --> 00:34:10,240 Speaker 5: this kind of whole scene, and at the time doesn't 597 00:34:10,239 --> 00:34:14,640 Speaker 5: even realize that she did anything that the government found objectionable, 598 00:34:14,680 --> 00:34:18,120 Speaker 5: because what happened was these ICE agents eventually take ross 599 00:34:18,120 --> 00:34:20,640 Speaker 5: Baraka away, and the three members of Congress after this 600 00:34:20,760 --> 00:34:23,919 Speaker 5: whole drama are basically allowed to go on their tour. 601 00:34:24,239 --> 00:34:27,200 Speaker 5: And so it's not until ten days later that the 602 00:34:27,280 --> 00:34:31,480 Speaker 5: congresswoman realizes, in the form of hearing an announcement from 603 00:34:31,520 --> 00:34:35,360 Speaker 5: the then US Attorney in New Jersey, that she was 604 00:34:35,400 --> 00:34:38,480 Speaker 5: being charged with a crime of assaulting to federal agents. 605 00:34:38,560 --> 00:34:42,280 Speaker 5: And when the US Attorney announces that, she simultaneously announces 606 00:34:42,280 --> 00:34:45,400 Speaker 5: that they're actually dropping the trespassing charges against Ross Barrokka 607 00:34:45,480 --> 00:34:47,360 Speaker 5: because there was never any substance of those charges to 608 00:34:47,360 --> 00:34:50,160 Speaker 5: begin with. And that's what begins this legal saga for 609 00:34:50,200 --> 00:34:51,440 Speaker 5: Congresswoman maciv. 610 00:34:51,400 --> 00:34:54,279 Speaker 1: And is she the only one of that group that's 611 00:34:54,280 --> 00:34:55,200 Speaker 1: being prosecuted? 612 00:34:55,440 --> 00:34:55,879 Speaker 3: That's right? 613 00:34:56,200 --> 00:34:56,640 Speaker 1: Why? 614 00:34:56,920 --> 00:34:58,120 Speaker 3: Well, it's a good question. You know. 615 00:34:58,160 --> 00:34:59,880 Speaker 5: I've thought a lot about this, and I think there 616 00:35:00,120 --> 00:35:03,600 Speaker 5: probably two general ways to explain. The first is just 617 00:35:03,680 --> 00:35:06,160 Speaker 5: in terms of the actual plot points of what happened 618 00:35:06,160 --> 00:35:09,719 Speaker 5: that day. There is no question that Congressman MacIvor, as 619 00:35:09,760 --> 00:35:12,880 Speaker 5: compared to the other two congressmen there was the most exercised, 620 00:35:12,920 --> 00:35:16,160 Speaker 5: the most upset, the most willing to dive into the fray. 621 00:35:16,440 --> 00:35:19,040 Speaker 1: Not illegal, though not illegal. 622 00:35:18,800 --> 00:35:21,080 Speaker 5: Not particularly objectionable, and I will say, by the way, 623 00:35:21,320 --> 00:35:24,480 Speaker 5: I've now interviewed a number of current and former DOJ 624 00:35:24,800 --> 00:35:28,360 Speaker 5: officials who had visibility into these types of investigations. In 625 00:35:28,400 --> 00:35:30,160 Speaker 5: the past, there used to be an office at the 626 00:35:30,160 --> 00:35:33,440 Speaker 5: Department of Justice called the Public Integrity Section that basically 627 00:35:33,440 --> 00:35:36,719 Speaker 5: would be consulted and would need to sign off anytime 628 00:35:36,760 --> 00:35:39,920 Speaker 5: the Department of Justice wanted to charge a member of Congress, 629 00:35:40,160 --> 00:35:43,839 Speaker 5: precisely because after Watergate there was this great fear that, 630 00:35:43,920 --> 00:35:47,040 Speaker 5: if unchecked, the Department of Justice could weaponize the justice 631 00:35:47,040 --> 00:35:50,520 Speaker 5: system against political opponents. But you know, a week before 632 00:35:51,040 --> 00:35:55,000 Speaker 5: Congressman Macchiv was charged, that office, the Public Integrity Section 633 00:35:55,080 --> 00:35:58,560 Speaker 5: was basically dismantled, And so you know, by any objective standard, 634 00:35:58,560 --> 00:36:01,319 Speaker 5: the idea that they're bringing charges against her is outlandish 635 00:36:01,400 --> 00:36:05,120 Speaker 5: and very scary. But if you spend time pouring over 636 00:36:05,400 --> 00:36:08,680 Speaker 5: this footage, she I think probably looks like the easiest 637 00:36:08,719 --> 00:36:12,759 Speaker 5: target because she really is upset, she's swearing, she's outspoken. 638 00:36:13,200 --> 00:36:15,360 Speaker 5: I will say, for what it's worth, you know, Bonnie 639 00:36:15,400 --> 00:36:18,240 Speaker 5: Watson Coleman is eighty years old. She's right there next 640 00:36:18,239 --> 00:36:20,759 Speaker 5: to Maciv by the way, But I think probably a 641 00:36:20,840 --> 00:36:22,399 Speaker 5: lot harder to make a strong. 642 00:36:22,160 --> 00:36:24,520 Speaker 3: Case against an eighty year old member of Congress. 643 00:36:24,600 --> 00:36:26,000 Speaker 5: I first, like want to go through those sort of 644 00:36:26,080 --> 00:36:29,160 Speaker 5: plot preliminaries before I say this, but I do think 645 00:36:29,480 --> 00:36:32,640 Speaker 5: race has a lot to do with the fact that 646 00:36:32,120 --> 00:36:35,160 Speaker 5: the government has alighted on Congresswoman MacIvor. 647 00:36:35,239 --> 00:36:39,040 Speaker 3: You have a young black congresswoman in her first term from. 648 00:36:38,920 --> 00:36:42,879 Speaker 5: Newark, who doesn't have a deep pocket, who doesn't have 649 00:36:43,120 --> 00:36:46,400 Speaker 5: a lot of resources at her disposal, who has turned into, 650 00:36:46,719 --> 00:36:49,600 Speaker 5: by the government's design, the kind of face of this, 651 00:36:49,920 --> 00:36:52,800 Speaker 5: you know, sort of angry, physical resistance to ice. And 652 00:36:53,120 --> 00:36:56,040 Speaker 5: that's kind of what the government script has been from 653 00:36:56,040 --> 00:36:58,640 Speaker 5: the very start, and so to the extent that they can, 654 00:36:58,920 --> 00:37:03,160 Speaker 5: they've tried to isolate images of just her physically clashing 655 00:37:03,160 --> 00:37:06,480 Speaker 5: with these agents without really panning out and allowing people 656 00:37:06,480 --> 00:37:08,200 Speaker 5: to see or understand the broader context. 657 00:37:08,560 --> 00:37:10,560 Speaker 3: And at various points. 658 00:37:10,160 --> 00:37:12,520 Speaker 5: In this kind of legal saga, which is very much ongoing, 659 00:37:12,680 --> 00:37:16,600 Speaker 5: the government has actually put out very obvious lies about 660 00:37:16,600 --> 00:37:19,120 Speaker 5: what happened. And this isn't my judgment, This isn't even 661 00:37:19,120 --> 00:37:21,640 Speaker 5: my judgment after having watched the tape and interviewed people 662 00:37:21,680 --> 00:37:24,760 Speaker 5: and interviewed witnesses and so on. But an actual district 663 00:37:24,800 --> 00:37:27,000 Speaker 5: court judge who's been hearing this case at a certain 664 00:37:27,040 --> 00:37:29,840 Speaker 5: point had to issue orders to the Justice Department saying, look, 665 00:37:30,400 --> 00:37:34,480 Speaker 5: you can't have government agencies putting out lies and misinformation 666 00:37:34,520 --> 00:37:36,640 Speaker 5: about the details of this case while this case is pending. 667 00:37:36,920 --> 00:37:38,279 Speaker 5: And at a certain point I was in court what 668 00:37:38,400 --> 00:37:41,359 Speaker 5: had happened. One of the DOJ lawyers basically shrugged and said, 669 00:37:41,480 --> 00:37:44,839 Speaker 5: this is all coming from headquarters at the Department of Homelandsecurity. 670 00:37:44,880 --> 00:37:47,040 Speaker 5: We don't have control over this, which gives you a 671 00:37:47,080 --> 00:37:49,399 Speaker 5: sense I think of how this whole thing has been 672 00:37:49,480 --> 00:37:52,760 Speaker 5: really a kind of political project from the start. 673 00:37:52,800 --> 00:37:54,200 Speaker 1: Where is the case now? 674 00:37:54,480 --> 00:37:58,959 Speaker 5: The case now is basically in a process of pre 675 00:37:59,040 --> 00:38:03,239 Speaker 5: trial appeals, so basically comes from Maciver's lawyers tried to 676 00:38:03,239 --> 00:38:05,319 Speaker 5: get the case thrown out on two grounds. First that 677 00:38:05,360 --> 00:38:10,040 Speaker 5: this represented a selective and vindictive prosecution of democratic critic of. 678 00:38:10,040 --> 00:38:13,040 Speaker 1: The administration, which it clearly did. Which it did, but which. 679 00:38:12,960 --> 00:38:16,239 Speaker 5: Like legally, is a very hard thing to prove and 680 00:38:16,400 --> 00:38:18,120 Speaker 5: was kind of always going to be an uphill battle 681 00:38:18,200 --> 00:38:23,480 Speaker 5: from a legal perspective. The second claim that Maciver's lawyers made, 682 00:38:23,480 --> 00:38:25,800 Speaker 5: which I actually thought potentially would have more attraction. 683 00:38:25,880 --> 00:38:26,520 Speaker 3: I'm not a lawyer. 684 00:38:26,520 --> 00:38:28,359 Speaker 5: But my understanding was that this had a little bit 685 00:38:28,400 --> 00:38:31,759 Speaker 5: more give was that she had legislative community because she 686 00:38:31,800 --> 00:38:34,479 Speaker 5: basically showed up that day to conduct oversight. She wasn't 687 00:38:34,480 --> 00:38:38,439 Speaker 5: there to participate in a protest, and arguably even when 688 00:38:38,440 --> 00:38:41,200 Speaker 5: she left the facility to figure out what was going on. 689 00:38:41,640 --> 00:38:43,880 Speaker 5: You know, her lawyers have said, look, Ross Broka, the 690 00:38:43,920 --> 00:38:46,600 Speaker 5: mayor of Newark is one of her constituents. I mean, 691 00:38:46,600 --> 00:38:50,480 Speaker 5: insofar as she's there to oversee ICE's conduct and behavior 692 00:38:50,520 --> 00:38:53,560 Speaker 5: at this facility, it's not out of the question to 693 00:38:53,760 --> 00:38:57,360 Speaker 5: characterize her even being outside the facility interceding in that moment, 694 00:38:57,600 --> 00:39:00,440 Speaker 5: as being some form of oversight. But that does require 695 00:39:00,520 --> 00:39:02,760 Speaker 5: a bit of an extended legal argument, and the judge 696 00:39:02,920 --> 00:39:06,120 Speaker 5: so far has refused to accept those claims. And so 697 00:39:06,160 --> 00:39:09,319 Speaker 5: this case is moving toward a jury trial. There's going 698 00:39:09,360 --> 00:39:10,640 Speaker 5: to be kind of a little bit more back and 699 00:39:10,680 --> 00:39:13,520 Speaker 5: forth in the appellate process, but it seems possible, if 700 00:39:13,520 --> 00:39:15,719 Speaker 5: not likely, that this case will go to trial this year. 701 00:39:15,800 --> 00:39:17,879 Speaker 5: And to be clear of the stakes, you know, all 702 00:39:17,920 --> 00:39:20,080 Speaker 5: the chargers have these kind of maximum sentences. If you 703 00:39:20,160 --> 00:39:23,960 Speaker 5: add them all up, what she faces potentially is seventeen 704 00:39:24,040 --> 00:39:27,920 Speaker 5: years in prison for allegedly assaulting these two federal agents. 705 00:39:28,360 --> 00:39:32,000 Speaker 1: This is so fucking nuts. Now, I want you to 706 00:39:32,120 --> 00:39:36,640 Speaker 1: talk about another piece you wrote five years ago when 707 00:39:36,680 --> 00:39:39,440 Speaker 1: we were all still in our thirties. Actually I was 708 00:39:39,640 --> 00:39:42,799 Speaker 1: just in my forties, but when we were young and 709 00:39:43,400 --> 00:39:48,840 Speaker 1: life was good, the salad days. Explain to us this story. 710 00:39:48,640 --> 00:39:50,120 Speaker 3: This is about Stephen Miller. 711 00:39:50,280 --> 00:39:50,680 Speaker 1: Yeah. 712 00:39:50,760 --> 00:39:55,160 Speaker 5: Well, you know, it's interesting because this story about hungressoan MacIvor. 713 00:39:55,600 --> 00:39:57,840 Speaker 5: In some ways, there is also a story about Miller's 714 00:39:58,160 --> 00:40:01,600 Speaker 5: increasing influence from Trump One to Trump too. At the 715 00:40:01,719 --> 00:40:05,480 Speaker 5: tail end of the first Trump administration, I profiled Stephen Miller, 716 00:40:05,480 --> 00:40:08,839 Speaker 5: and at the time I was fascinated by his role 717 00:40:08,880 --> 00:40:11,880 Speaker 5: in that administration, particularly because you know, I spent most 718 00:40:11,920 --> 00:40:15,040 Speaker 5: of my time covering immigration and politics at the New Yorker, 719 00:40:15,360 --> 00:40:17,840 Speaker 5: and what I was seeing and hearing from people inside 720 00:40:17,880 --> 00:40:20,880 Speaker 5: that first Trump administration, whether you know high ranking political 721 00:40:20,920 --> 00:40:25,080 Speaker 5: appointees or you know career civil servants at key agencies 722 00:40:25,160 --> 00:40:29,360 Speaker 5: or in key offices, was that this young upstart Stephen Miller, 723 00:40:29,440 --> 00:40:31,880 Speaker 5: who for you know, much of his career in Washington, 724 00:40:32,320 --> 00:40:34,200 Speaker 5: was kind of in the wilderness of the Republican Party 725 00:40:34,239 --> 00:40:36,320 Speaker 5: and was seen as something of a crank and an 726 00:40:36,360 --> 00:40:39,920 Speaker 5: absolutely unhinged ideologue on the issue of immigration, was actually 727 00:40:39,960 --> 00:40:42,960 Speaker 5: punching above his weight inside that administration and getting major 728 00:40:43,000 --> 00:40:43,640 Speaker 5: things done. 729 00:40:43,760 --> 00:40:45,359 Speaker 3: And so the idea was to try to understand how 730 00:40:45,360 --> 00:40:46,040 Speaker 3: that was happening. 731 00:40:46,200 --> 00:40:50,040 Speaker 1: And it's important just to remind people that he worked 732 00:40:50,400 --> 00:40:56,640 Speaker 1: for the really the absolute worst Alabama senator, is that 733 00:40:56,719 --> 00:40:59,080 Speaker 1: fair to say, And that's how he came up. Talk 734 00:40:59,120 --> 00:41:00,000 Speaker 1: about how he came up. 735 00:41:00,160 --> 00:41:04,880 Speaker 5: Miller's trajectory is incredibly interesting in striking because he basically 736 00:41:05,000 --> 00:41:08,239 Speaker 5: went from you know, really being in a kind of 737 00:41:08,320 --> 00:41:11,680 Speaker 5: circle of the Republican Party that most Republicans wrote off 738 00:41:11,960 --> 00:41:15,719 Speaker 5: as being crazy and irrelevant. So basically, Miller kind of 739 00:41:15,760 --> 00:41:19,320 Speaker 5: first came to semi prominence in Republican circles in Washington 740 00:41:19,400 --> 00:41:23,080 Speaker 5: when he worked as the communications director to then Alabama 741 00:41:23,120 --> 00:41:24,560 Speaker 5: Senator Jeff Sessions. 742 00:41:24,440 --> 00:41:28,640 Speaker 1: Right, who was one of the first Trump endorsements, right. 743 00:41:28,840 --> 00:41:32,600 Speaker 5: The first Republican senator to endorse Trump in twenty sixteen. 744 00:41:32,840 --> 00:41:36,560 Speaker 5: And actually that story is interesting because you know, Sessions 745 00:41:36,600 --> 00:41:40,560 Speaker 5: was someone who inside the Republican Party had always been 746 00:41:40,760 --> 00:41:45,000 Speaker 5: probably one of the most conservative, hostile voices on immigration 747 00:41:45,200 --> 00:41:48,400 Speaker 5: in all forms, not just the idea of border crossings. 748 00:41:48,400 --> 00:41:51,920 Speaker 5: And so on but specifically wanting to actually restrict the 749 00:41:52,000 --> 00:41:55,400 Speaker 5: legal immigration system. He's someone who had a kind of deep, 750 00:41:55,600 --> 00:41:58,960 Speaker 5: thorough going vision of you know, the need for the 751 00:41:59,040 --> 00:42:02,799 Speaker 5: US to tamp down on immigration in all forms. And 752 00:42:02,840 --> 00:42:05,840 Speaker 5: as a result, he again was on the margins of 753 00:42:05,880 --> 00:42:09,040 Speaker 5: the Republican Party. He didn't have the influence to persuade 754 00:42:09,040 --> 00:42:12,200 Speaker 5: people to his position, but he and Miller quickly realized 755 00:42:12,200 --> 00:42:16,239 Speaker 5: that they had the influence to sabotage, you know, legislative 756 00:42:16,280 --> 00:42:19,239 Speaker 5: efforts to you know, work on this issue. And so 757 00:42:19,280 --> 00:42:22,839 Speaker 5: in twenty thirteen, when the Obama administration was trying to 758 00:42:22,880 --> 00:42:26,560 Speaker 5: shepherd comprehensive immigration reform through Congress, you know, it passed 759 00:42:26,600 --> 00:42:29,200 Speaker 5: through the Senate and basically languished in the House, which 760 00:42:29,239 --> 00:42:31,360 Speaker 5: at the time was controlled by Republicans, and the Republican 761 00:42:31,360 --> 00:42:32,880 Speaker 5: speaker didn't want to bring it to the floor for 762 00:42:32,920 --> 00:42:35,279 Speaker 5: a vote because it was, you know, kind of too 763 00:42:35,400 --> 00:42:39,360 Speaker 5: tendentious inside his conference, even though a majority of members 764 00:42:39,360 --> 00:42:42,640 Speaker 5: of Congress probably would have supported that comprehensive reform push. 765 00:42:42,760 --> 00:42:46,080 Speaker 5: And the role of Miller in Sessions in scuttling that 766 00:42:46,200 --> 00:42:50,560 Speaker 5: deal is quite important because it showed, first of all, 767 00:42:50,680 --> 00:42:54,680 Speaker 5: that they could have significant influence even though they were 768 00:42:54,760 --> 00:42:57,080 Speaker 5: on the margins. I mean, Miller is someone who you know, 769 00:42:57,080 --> 00:42:59,239 Speaker 5: I should say, And this came up when I first 770 00:42:59,239 --> 00:43:03,319 Speaker 5: profiled him. You know, I interviewed congressional staffers, members of Congress, 771 00:43:03,360 --> 00:43:06,840 Speaker 5: the usual suspects in Republican life in DC at that time, 772 00:43:07,040 --> 00:43:10,920 Speaker 5: who basically said, every day they get these crazy, long, 773 00:43:11,440 --> 00:43:16,399 Speaker 5: nutty emails for Miller, pushing all kinds of outrageous conspiracy 774 00:43:16,400 --> 00:43:19,600 Speaker 5: theories or kind of racist views of immigration and immigrants, 775 00:43:19,920 --> 00:43:22,319 Speaker 5: and they would basically just delete these emails and like 776 00:43:22,320 --> 00:43:24,120 Speaker 5: to the extent that any of them could ignore the 777 00:43:24,160 --> 00:43:27,600 Speaker 5: guy because he was just so far afield. But here 778 00:43:27,640 --> 00:43:30,799 Speaker 5: in twenty thirteen twenty fourteen, there was this real kind 779 00:43:30,800 --> 00:43:34,960 Speaker 5: of inflection point inside the party where Miller and Sessions 780 00:43:35,040 --> 00:43:39,719 Speaker 5: were able to attack other Republicans for being kind of 781 00:43:39,760 --> 00:43:42,680 Speaker 5: insufficiently conservative on the immigration issue. And this is where 782 00:43:42,680 --> 00:43:45,560 Speaker 5: they started to flirt with really blasting out lies about 783 00:43:45,560 --> 00:43:48,240 Speaker 5: different aspects of that reform bill. They went at people 784 00:43:48,280 --> 00:43:50,759 Speaker 5: like Marco Rubio, people who at the time had a 785 00:43:50,760 --> 00:43:54,800 Speaker 5: more moderate bent on immigration reform, and in the process 786 00:43:54,960 --> 00:43:57,279 Speaker 5: a number of people said to me, Miller kind of 787 00:43:57,320 --> 00:44:02,359 Speaker 5: got this perverse education in immigration policy and immigration law, 788 00:44:02,400 --> 00:44:04,879 Speaker 5: because essentially what he was doing was trying to find 789 00:44:04,880 --> 00:44:07,200 Speaker 5: where all of the bodies were buried in terms of 790 00:44:07,239 --> 00:44:11,319 Speaker 5: past legislative consensus on immigration policy, because he was now 791 00:44:11,320 --> 00:44:15,200 Speaker 5: trying to weaponize this issue to go after other Republicans 792 00:44:15,239 --> 00:44:17,040 Speaker 5: to get them on sort of more or less on 793 00:44:17,080 --> 00:44:19,759 Speaker 5: his side, or the very least, you know, lining them 794 00:44:19,840 --> 00:44:23,240 Speaker 5: up against any kind of productive legislation on the subject. 795 00:44:23,440 --> 00:44:25,720 Speaker 5: And so this is where Miller really, i think, first 796 00:44:25,840 --> 00:44:30,120 Speaker 5: rose to prominence. And when Trump announced his candidacy back 797 00:44:30,160 --> 00:44:33,960 Speaker 5: in twenty fifteen, there was a fascinating conversation that Joshua 798 00:44:33,960 --> 00:44:35,960 Speaker 5: Green reports on in his book, which I think remains 799 00:44:35,960 --> 00:44:38,600 Speaker 5: the kind of definitive account of this conversation what josh 800 00:44:38,719 --> 00:44:41,879 Speaker 5: Wass book, Devil's Bargain, It's about Steve Bannon and kind 801 00:44:41,880 --> 00:44:45,880 Speaker 5: of this world. And it was incredibly illuminating to me 802 00:44:45,920 --> 00:44:48,319 Speaker 5: at the time because it was a conversation essentially in 803 00:44:48,360 --> 00:44:54,240 Speaker 5: which Steve Bannon had this talk with Jeff Sessions and said, look, 804 00:44:54,440 --> 00:44:57,840 Speaker 5: this is your chance. You have had this view on 805 00:44:57,920 --> 00:45:01,920 Speaker 5: immigration forever, and you're basically and finally you have a 806 00:45:01,960 --> 00:45:06,280 Speaker 5: guy in Trump who's charismatic enough and who's forceful enough 807 00:45:06,680 --> 00:45:11,400 Speaker 5: to kind of personify your positions and to actually, you know, 808 00:45:12,000 --> 00:45:15,920 Speaker 5: be a mouthpiece for a worldview that you've had forever. 809 00:45:16,280 --> 00:45:20,120 Speaker 5: So you know, endorse this guy and like your agenda 810 00:45:20,239 --> 00:45:24,839 Speaker 5: will finally get the kind of prominence it deserves. And 811 00:45:24,880 --> 00:45:27,800 Speaker 5: that was the basis of Sessions coming out and endorsing 812 00:45:27,800 --> 00:45:30,280 Speaker 5: Trump and being the first Republican senator to endorsed Trump. 813 00:45:30,360 --> 00:45:32,520 Speaker 5: And it mattered at the time very much for Trump, 814 00:45:32,640 --> 00:45:36,160 Speaker 5: who didn't have the conservative credentials among the real ideologues, 815 00:45:36,200 --> 00:45:38,600 Speaker 5: and so the idea of having someone like Jeff Sessions 816 00:45:38,960 --> 00:45:42,640 Speaker 5: vouch for his conservatism, you know, meant something to the 817 00:45:42,640 --> 00:45:45,680 Speaker 5: ideologus and the party. And Miller was one of the 818 00:45:45,719 --> 00:45:50,080 Speaker 5: first people to actually work on Trump's nascent presidential campaign 819 00:45:50,120 --> 00:45:52,080 Speaker 5: at a time when you know, most people wrote it 820 00:45:52,120 --> 00:45:53,239 Speaker 5: off as a clown show. 821 00:45:53,320 --> 00:45:57,319 Speaker 3: And so that began Miller's real assent in Trump's. 822 00:45:57,080 --> 00:46:03,840 Speaker 1: Washington unbelievably disturbing and also insane. Yeah, oh yeah, Jonathan, 823 00:46:03,920 --> 00:46:05,720 Speaker 1: thank you, thank you for joining us. 824 00:46:05,840 --> 00:46:06,880 Speaker 3: Oh thanks for having me. 825 00:46:09,239 --> 00:46:14,239 Speaker 1: No moment time, Rick Wilson by the junk folst we 826 00:46:14,280 --> 00:46:15,080 Speaker 1: are at that time? 827 00:46:15,400 --> 00:46:17,200 Speaker 4: Is it that moment of fuckery? I have one for 828 00:46:17,239 --> 00:46:17,640 Speaker 4: this week? 829 00:46:17,920 --> 00:46:20,680 Speaker 1: Yes, we hear it. Yes, So if you are a. 830 00:46:20,600 --> 00:46:24,040 Speaker 4: Guy brought in by a billionaire to run a fabled, 831 00:46:24,600 --> 00:46:28,759 Speaker 4: storied journalistic institution like the Washington Post, and then you 832 00:46:28,800 --> 00:46:34,040 Speaker 4: proceed to turn it into a Trump cheer squad, and 833 00:46:34,400 --> 00:46:37,040 Speaker 4: it starts to fall apart, you start losing readership because 834 00:46:37,080 --> 00:46:39,840 Speaker 4: no one needs Fox Light, no one wants diet Fox 835 00:46:39,880 --> 00:46:42,360 Speaker 4: as I like to say that if they wanted that 836 00:46:42,440 --> 00:46:44,400 Speaker 4: kind of crap, they go to the Washington Times. And 837 00:46:44,440 --> 00:46:47,080 Speaker 4: then you destroy the quality of the paper. Then you 838 00:46:47,480 --> 00:46:51,200 Speaker 4: fire a third of the staff seemingly kind of at random, 839 00:46:51,640 --> 00:46:55,480 Speaker 4: and then you go and have parties at the Super 840 00:46:55,480 --> 00:46:58,000 Speaker 4: Bowl week out in San Francisco and don't even bother 841 00:46:58,160 --> 00:47:00,680 Speaker 4: to join the zoom call. Firing eight hundred people. 842 00:47:00,719 --> 00:47:02,120 Speaker 1: Walk the ropeline. 843 00:47:02,560 --> 00:47:06,680 Speaker 4: Maybe maybe when you get fired yourself, it's karma. And 844 00:47:06,760 --> 00:47:09,040 Speaker 4: I think the karma of him getting fired at the 845 00:47:09,080 --> 00:47:10,680 Speaker 4: Post is perfection. 846 00:47:11,120 --> 00:47:14,360 Speaker 1: And you'll remember that Will Lewis did not want to 847 00:47:14,480 --> 00:47:18,879 Speaker 1: cover the phone hacking scandal which he was involved in, 848 00:47:19,360 --> 00:47:23,239 Speaker 1: and that is why Sally Buzby, the editor of the 849 00:47:23,320 --> 00:47:27,840 Speaker 1: Washington Post, quit, So he has long been a bad actor. 850 00:47:27,960 --> 00:47:29,520 Speaker 1: During his two year term, he. 851 00:47:29,520 --> 00:47:32,080 Speaker 4: Comes out of the rupert versus people right. 852 00:47:32,239 --> 00:47:36,000 Speaker 1: Now that said, the Wall Street Journal is doing excellent reporting. 853 00:47:36,200 --> 00:47:37,920 Speaker 4: So I got to give the Wall Street Journal a 854 00:47:37,960 --> 00:47:39,960 Speaker 4: lot of credit right now, Molly, they have been hammering 855 00:47:40,000 --> 00:47:43,400 Speaker 4: tongs on all this stuff lately, and there seems to 856 00:47:43,400 --> 00:47:45,200 Speaker 4: be a flavor change over there. I don't know what 857 00:47:45,280 --> 00:47:46,239 Speaker 4: it is quite. 858 00:47:46,160 --> 00:47:50,239 Speaker 1: From the Tucker Baby woman had her own chief. God blesser, yeah, 859 00:47:50,280 --> 00:47:53,600 Speaker 1: God blesser. But I do think. Look, Jeff Bezos has 860 00:47:53,880 --> 00:47:57,640 Speaker 1: many billions of dollars. He has bought the Washington Post. 861 00:47:58,000 --> 00:48:01,040 Speaker 1: He has destroyed the Washington Post. Now he refuses to 862 00:48:01,080 --> 00:48:05,160 Speaker 1: sell the Washington Post. Right, someday Jeff Bezos, probably sooner 863 00:48:05,239 --> 00:48:08,520 Speaker 1: rather than later, will pretend that he never did any 864 00:48:08,560 --> 00:48:11,960 Speaker 1: of this. Just like when you watch those videos of 865 00:48:12,080 --> 00:48:16,000 Speaker 1: Jadvan's being booed at the Olympics, you know that this 866 00:48:16,080 --> 00:48:18,560 Speaker 1: worm is going to turn real fast and these people 867 00:48:18,960 --> 00:48:21,480 Speaker 1: are going to have to pretend they were never involved 868 00:48:21,480 --> 00:48:21,759 Speaker 1: in it. 869 00:48:22,000 --> 00:48:24,560 Speaker 4: There's a book out right now. It's about Israel and Gaza, 870 00:48:24,600 --> 00:48:27,840 Speaker 4: but it's called Someday Everyone will have been against this. Yeah, 871 00:48:27,880 --> 00:48:30,720 Speaker 4: and someday everyone will have been against all of this. Yeah, 872 00:48:30,880 --> 00:48:33,640 Speaker 4: they will all know. I wasn't me, man, I wasn't 873 00:48:33,680 --> 00:48:35,799 Speaker 4: that guy. But they all will be that guy the 874 00:48:35,840 --> 00:48:37,160 Speaker 4: Internet does not forget. 875 00:48:37,440 --> 00:48:41,680 Speaker 1: Hopefully that'll be sooner rather than later. Thank you, Rick Wilson. 876 00:48:42,160 --> 00:48:42,560 Speaker 4: See Yah. 877 00:48:43,400 --> 00:48:47,920 Speaker 1: That's it for this episode of Fast Politics. Tune in 878 00:48:48,080 --> 00:48:53,520 Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best 879 00:48:53,600 --> 00:48:57,920 Speaker 1: minds and politics make sense of all this chaos. If 880 00:48:57,920 --> 00:49:01,000 Speaker 1: you enjoy this podcast, please send it to a friend 881 00:49:01,400 --> 00:49:04,640 Speaker 1: and keep the conversation going. Thanks for listening.