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 --> 00:00:12,120 Speaker 1: today's best minds, and just six percent of Americans are 4 00:00:12,200 --> 00:00:15,640 Speaker 1: satisfied with how much the DOJ has released of the 5 00:00:15,680 --> 00:00:18,640 Speaker 1: Epstein files so far. We have such a great job 6 00:00:18,720 --> 00:00:22,960 Speaker 1: for you today. Garbage Day's own Ryan Broderick stops by 7 00:00:23,480 --> 00:00:26,479 Speaker 1: to talk to us about what he saw on the 8 00:00:26,520 --> 00:00:29,640 Speaker 1: ground in Minnesota. Then we'll talk to journalist Tita Brown 9 00:00:29,720 --> 00:00:33,800 Speaker 1: about Donald Trump's chaotic trip to Davos. But first the news. 10 00:00:33,560 --> 00:00:37,360 Speaker 2: Molly, The New York Times has a really really crazy 11 00:00:37,440 --> 00:00:42,080 Speaker 2: report and graphic on how Trump has pocketed almost one 12 00:00:42,120 --> 00:00:43,560 Speaker 2: point five billion dollars. 13 00:00:44,040 --> 00:00:46,800 Speaker 1: Yeah, so Donald Trump has spent a lot of time 14 00:00:46,960 --> 00:00:50,239 Speaker 1: making money since he's been here. A review by the 15 00:00:50,360 --> 00:00:54,280 Speaker 1: editorial board relying on analysis from the news side. And 16 00:00:54,320 --> 00:00:57,160 Speaker 1: this is why places like the New York Times are 17 00:00:57,200 --> 00:01:00,920 Speaker 1: so good and by the way, there's only one so sad, 18 00:01:01,160 --> 00:01:03,760 Speaker 1: but they can look at the reporting from the news 19 00:01:03,800 --> 00:01:07,319 Speaker 1: side and then make claims and make it all make 20 00:01:07,400 --> 00:01:09,679 Speaker 1: sense on the editorial side. So this is a great 21 00:01:09,880 --> 00:01:13,760 Speaker 1: example of that one point four billion dollars Donald Trump 22 00:01:13,920 --> 00:01:16,480 Speaker 1: has made in a year. How much did you make 23 00:01:16,520 --> 00:01:18,440 Speaker 1: this year? I know how much I made. It was 24 00:01:18,520 --> 00:01:21,120 Speaker 1: not one point four billion dollars, let me tell you. 25 00:01:21,160 --> 00:01:23,920 Speaker 1: But then again, I'm not president and I am not 26 00:01:24,080 --> 00:01:26,920 Speaker 1: effectively using this office to enrich myself. Here are some 27 00:01:27,040 --> 00:01:29,679 Speaker 1: of the things that he made money on. A hotel 28 00:01:29,840 --> 00:01:34,039 Speaker 1: in Oman, an office tower in western India, a golf 29 00:01:34,080 --> 00:01:39,120 Speaker 1: course on the outskirts of Riod, Saudi Arabia, twenty overseas project. 30 00:01:39,120 --> 00:01:43,480 Speaker 1: The projects that the Trump organization is pursuing, often requiring 31 00:01:43,680 --> 00:01:48,840 Speaker 1: cooperation with foreign governments, very nice. These deals have made 32 00:01:49,040 --> 00:01:52,520 Speaker 1: millions of dollars for Trump, according to Reuters, and the 33 00:01:52,560 --> 00:01:57,640 Speaker 1: administration has sometimes treated those same governments favorably. That's right. 34 00:01:57,920 --> 00:02:00,760 Speaker 1: You know how we used to have rules and laws 35 00:02:00,840 --> 00:02:04,920 Speaker 1: so that the personal business of a president would not 36 00:02:05,320 --> 00:02:12,800 Speaker 1: get all tangled up with the personal business of a government. 37 00:02:13,120 --> 00:02:18,400 Speaker 1: Well here's where we are. So the administration agreed to 38 00:02:18,440 --> 00:02:22,880 Speaker 1: it lower its threatened tariffs on Vietnam about a month 39 00:02:23,000 --> 00:02:26,880 Speaker 1: after a Trump organization broke ground on a one point 40 00:02:26,919 --> 00:02:31,800 Speaker 1: five billion dollar golf complex outside of Hannoi. So like 41 00:02:31,880 --> 00:02:35,919 Speaker 1: this is what it is. Amazon paid for the Milania 42 00:02:36,000 --> 00:02:42,120 Speaker 1: doc so that Jeff Bezos could curry favor with Donald Trump. 43 00:02:42,520 --> 00:02:46,440 Speaker 1: Settlements have come from X from ABC News, from Meta 44 00:02:46,520 --> 00:02:51,280 Speaker 1: from YouTube, and paramount. Yes, the corruption is just in 45 00:02:51,600 --> 00:02:56,080 Speaker 1: fucking credible and billionaires, turns out are not good star 46 00:02:56,160 --> 00:03:00,920 Speaker 1: wars of anything, or at least the billionaires we know 47 00:03:01,160 --> 00:03:05,440 Speaker 1: have been wildly disappointing. Trump sailed Crypto has been his 48 00:03:05,520 --> 00:03:08,800 Speaker 1: biggest money maker. You know, Crypto. The thing that we 49 00:03:08,880 --> 00:03:12,160 Speaker 1: have been told again and again by reporters is largely 50 00:03:12,280 --> 00:03:15,600 Speaker 1: a scam. We have never had a president who is 51 00:03:15,639 --> 00:03:18,919 Speaker 1: profited like this. Even in Trump's first term, he did 52 00:03:18,960 --> 00:03:22,520 Speaker 1: not profit like this. When President Truman left office in 53 00:03:22,639 --> 00:03:26,959 Speaker 1: nineteen fifty three, he did not even own a car. 54 00:03:27,280 --> 00:03:30,600 Speaker 1: Donald Trump will leave the White House with a plane 55 00:03:30,720 --> 00:03:33,720 Speaker 1: a four hundred million dollar Boeing seven forty seven that 56 00:03:33,800 --> 00:03:39,440 Speaker 1: he was gifted by the qataris one point four billion dollars, 57 00:03:39,840 --> 00:03:43,360 Speaker 1: is what this editorial board thanks. Donald Trump has made 58 00:03:43,520 --> 00:03:45,640 Speaker 1: on his one year of president thing. 59 00:03:46,440 --> 00:03:50,320 Speaker 2: So speaking of that, while he gets rich, we all 60 00:03:50,360 --> 00:03:53,480 Speaker 2: get poorer. The Wall Street Journal probably hailed as the 61 00:03:53,600 --> 00:03:57,880 Speaker 2: Daily Bible of Capitalism as a report saying that Americans 62 00:03:57,920 --> 00:03:59,360 Speaker 2: are the ones paying for tariffs. 63 00:03:59,680 --> 00:04:02,120 Speaker 1: Yeah, I mean this is all stuff. We know that 64 00:04:02,480 --> 00:04:05,480 Speaker 1: tariffs make things more expensive. You buy things that are 65 00:04:05,480 --> 00:04:09,080 Speaker 1: more expensive, you pay more money rago, you pay for 66 00:04:09,200 --> 00:04:13,000 Speaker 1: the tariffs. The point of the tariffs was to punish 67 00:04:13,040 --> 00:04:16,360 Speaker 1: manufacturers who were not manufacturing in the States. But because 68 00:04:16,480 --> 00:04:20,320 Speaker 1: these tariffs are so haphazard, people aren't building in the States. 69 00:04:20,400 --> 00:04:23,920 Speaker 1: People aren't building factories in the States, and so there's 70 00:04:23,960 --> 00:04:28,440 Speaker 1: not a manufacturing advantage. So it's a completely pointless exercise. 71 00:04:28,560 --> 00:04:30,800 Speaker 1: Donald Trump is just using it because it's fun for him. 72 00:04:31,040 --> 00:04:32,120 Speaker 1: And here we are. 73 00:04:32,640 --> 00:04:35,600 Speaker 2: Yes, So I was trying to think of what would 74 00:04:35,640 --> 00:04:40,040 Speaker 2: be a more ridiculous thing for ICE to deport and 75 00:04:40,160 --> 00:04:43,320 Speaker 2: take it to custody, and we have found it here 76 00:04:43,400 --> 00:04:46,160 Speaker 2: where they have taken in three tribal members of a 77 00:04:46,279 --> 00:04:50,600 Speaker 2: Native American tribe in Minneapolis. All this happens while ICE 78 00:04:50,680 --> 00:04:53,560 Speaker 2: broke into a Minnesota home and dragged a barely clothed 79 00:04:53,640 --> 00:04:57,560 Speaker 2: American citizen into the snow. It's reckless, abandoned all around. 80 00:04:57,960 --> 00:05:00,640 Speaker 1: Yeah, I mean, look, here's the thing. This is to 81 00:05:00,720 --> 00:05:05,440 Speaker 1: punish people who are not white Christians. And so here 82 00:05:05,480 --> 00:05:10,000 Speaker 1: we go. They've got Native people, They've got you know, 83 00:05:10,240 --> 00:05:13,120 Speaker 1: this poor guy. There's a photo of a guy being 84 00:05:13,200 --> 00:05:16,680 Speaker 1: dragged from his home by ICE agents. He's an elderly man. 85 00:05:16,880 --> 00:05:19,159 Speaker 1: He's not wearing a shirt, he's wearing a robe. His 86 00:05:19,360 --> 00:05:23,440 Speaker 1: chest is bare. It's Minnesota, it's freezing. These are South 87 00:05:23,520 --> 00:05:29,240 Speaker 1: Dakota tribal members. They were detained by Customs and Immigration 88 00:05:29,360 --> 00:05:34,640 Speaker 1: enforcement in Minnesota. They're from the Soa tribe in South Dakota. 89 00:05:35,120 --> 00:05:38,719 Speaker 1: When America did this last time, we had the same thing. 90 00:05:38,839 --> 00:05:42,479 Speaker 1: You know, they're just deporting anyone who doesn't look like 91 00:05:42,560 --> 00:05:46,960 Speaker 1: a white Christian And here we are. Last year, the 92 00:05:47,080 --> 00:05:50,880 Speaker 1: Navajo Nation said the tribal citizens in Arizona, we're being 93 00:05:50,960 --> 00:05:53,840 Speaker 1: stopped and detained by ICE. So that's been going on 94 00:05:54,120 --> 00:05:57,000 Speaker 1: for a year. First of all, these ICE agents are 95 00:05:57,040 --> 00:06:02,200 Speaker 1: poorly trained, and second of all, they don't really care. Right, 96 00:06:02,240 --> 00:06:04,839 Speaker 1: We've seen reporting from the Wall Street Journal that you 97 00:06:04,920 --> 00:06:08,480 Speaker 1: know that they get bonuses even at person isn't meant 98 00:06:08,760 --> 00:06:11,800 Speaker 1: to be detained or it turns out not to be 99 00:06:12,279 --> 00:06:16,080 Speaker 1: in this country illegally. That this is about chaos, This 100 00:06:16,200 --> 00:06:20,160 Speaker 1: is not about immigration, This is not about making America 101 00:06:20,440 --> 00:06:22,760 Speaker 1: more safe. And in fact, you know, the polling is 102 00:06:22,800 --> 00:06:25,839 Speaker 1: that fifty percent of Americans actually believe ICE. If ICE 103 00:06:25,880 --> 00:06:27,719 Speaker 1: comes into a city, it is less safe. 104 00:06:27,960 --> 00:06:30,479 Speaker 2: Yeah, and there's a lot of evidence for that. Speaking 105 00:06:30,480 --> 00:06:32,760 Speaker 2: of there being a lot of evidence, so I started 106 00:06:32,800 --> 00:06:38,120 Speaker 2: noticing online that people were speculating that there's polymarketing Calshi 107 00:06:38,400 --> 00:06:41,839 Speaker 2: trading going on around the White House press briefings, where 108 00:06:42,000 --> 00:06:45,080 Speaker 2: Caroline Lovett ends them at a certain point in order 109 00:06:45,200 --> 00:06:48,400 Speaker 2: for people to do insider trading. And we see reports 110 00:06:48,440 --> 00:06:50,960 Speaker 2: of this insider trading around the wars and all sorts 111 00:06:51,000 --> 00:06:52,240 Speaker 2: of other things every day. 112 00:06:52,440 --> 00:06:55,840 Speaker 1: This is a really insane story. I had no idea 113 00:06:55,839 --> 00:06:58,279 Speaker 1: about this, but you said you had some idea. This 114 00:06:58,400 --> 00:07:03,200 Speaker 1: was happening basically before White House Press Secretary Karen Levitt 115 00:07:03,279 --> 00:07:07,040 Speaker 1: takes the podium for press briefings, users on polymarket and 116 00:07:07,320 --> 00:07:11,240 Speaker 1: Calshi places their beds, hoping to cash in on their 117 00:07:11,280 --> 00:07:14,800 Speaker 1: predictions about sort of when the briefing will start, how 118 00:07:14,840 --> 00:07:17,360 Speaker 1: long it will last, and what she'll say. Words and 119 00:07:17,360 --> 00:07:22,080 Speaker 1: phrases like ice, narco, terrorist, Biden, and radical Left are 120 00:07:22,120 --> 00:07:25,360 Speaker 1: popular picks, with thousands of dollars being put up every 121 00:07:25,360 --> 00:07:29,400 Speaker 1: time she takes the podium. Users have placed thirty three 122 00:07:29,440 --> 00:07:32,600 Speaker 1: thousand dollars on whether the UFC will host a fight 123 00:07:32,800 --> 00:07:35,440 Speaker 1: at the White House for the country's two hundred and 124 00:07:35,480 --> 00:07:38,560 Speaker 1: fifty Thennivers, we are by that time eighty five thousand 125 00:07:38,560 --> 00:07:40,880 Speaker 1: dollars on what President Trump will say at his State 126 00:07:40,920 --> 00:07:45,080 Speaker 1: of the Union address and three hundred and seventy two 127 00:07:45,200 --> 00:07:49,160 Speaker 1: thousand dollars on which secretaries will be out at the 128 00:07:49,240 --> 00:07:52,320 Speaker 1: end of the year. So while this administration is hurting 129 00:07:52,360 --> 00:07:55,880 Speaker 1: people and costing us money, it is also at least 130 00:07:56,040 --> 00:08:00,800 Speaker 1: entertaining people who have gambling problems, if nothing else. And 131 00:08:01,640 --> 00:08:09,400 Speaker 1: that is absolutely such incredibly dark and super shitty reality. 132 00:08:09,840 --> 00:08:12,239 Speaker 2: Yeah, and we really saw some proof of this where 133 00:08:12,680 --> 00:08:16,360 Speaker 2: with just seconds left, they ripped Caroline Levett off of 134 00:08:16,400 --> 00:08:19,239 Speaker 2: the podium in the weirdest way you've ever seen. 135 00:08:19,600 --> 00:08:22,480 Speaker 1: And you think that was because I. 136 00:08:22,480 --> 00:08:25,080 Speaker 2: Was waiting for a reputable news outlet to put this up, 137 00:08:25,120 --> 00:08:27,040 Speaker 2: and notice us put it up. And I think they 138 00:08:27,040 --> 00:08:30,280 Speaker 2: are a rigorous outlet. And the evidence even on Twitter 139 00:08:30,320 --> 00:08:31,040 Speaker 2: is pretty. 140 00:08:30,720 --> 00:08:32,160 Speaker 3: Overwhelming, unbelievable. 141 00:08:37,160 --> 00:08:40,280 Speaker 1: Ryan Broderick is the editor of Garbage Day and the 142 00:08:40,320 --> 00:08:46,400 Speaker 1: host of the podcast Panic World. Welcome Ryan, Hi, Hi, 143 00:08:46,679 --> 00:08:49,880 Speaker 1: you write about Internet everything. You write a really good newsletter. 144 00:08:50,080 --> 00:08:53,880 Speaker 1: But you went to Minnesota, So tell us why you went. 145 00:08:54,360 --> 00:08:58,680 Speaker 3: So I've been following the connection between the right wing 146 00:08:58,760 --> 00:09:02,920 Speaker 3: media ecosystem which these days also encompasses random influencers on 147 00:09:03,120 --> 00:09:05,240 Speaker 3: x and YouTube channels and podcasters and all the rest 148 00:09:05,840 --> 00:09:10,280 Speaker 3: and activity on the ground from the federal government, which 149 00:09:10,320 --> 00:09:14,600 Speaker 3: sounds totally bizarre and insane, but is happening. We're living 150 00:09:14,600 --> 00:09:18,240 Speaker 3: in a world where the federal government accounts on x 151 00:09:18,400 --> 00:09:21,560 Speaker 3: or quote posting libs of TikTok, and basing their operations 152 00:09:21,559 --> 00:09:24,199 Speaker 3: on what they're seeing online. So I thought, Okay, what's 153 00:09:24,240 --> 00:09:28,440 Speaker 3: happening in Minnesota is probably the most aggressive action we've 154 00:09:28,480 --> 00:09:32,120 Speaker 3: seen from the Trump administration like this. So after the 155 00:09:32,200 --> 00:09:35,000 Speaker 3: murder of Renee Nicole Good, my podcast producer Grant Irving 156 00:09:35,000 --> 00:09:38,400 Speaker 3: and I flew out immediately and we were there through 157 00:09:38,559 --> 00:09:43,440 Speaker 3: the first weekend of unrest following her murder, And yeah, 158 00:09:43,480 --> 00:09:47,480 Speaker 3: we did see up close a pretty chummy relationship between 159 00:09:48,000 --> 00:09:51,280 Speaker 3: the right wing media and Ice, And I feel like 160 00:09:51,280 --> 00:09:54,360 Speaker 3: I have a much better understanding now of how these 161 00:09:54,480 --> 00:09:57,200 Speaker 3: two worlds are intersecting and interacting with each other. 162 00:09:57,480 --> 00:10:00,920 Speaker 1: Everything you're saying makes a lot of sense. Reason that 163 00:10:01,040 --> 00:10:04,160 Speaker 1: this administration is in Minneapolis, I would love you to 164 00:10:04,200 --> 00:10:06,959 Speaker 1: talk about that, because that is because of a right 165 00:10:06,960 --> 00:10:07,800 Speaker 1: wing influencer. 166 00:10:07,920 --> 00:10:12,760 Speaker 3: Right, that's right. So Ice has been in Minnesota, terrorizing 167 00:10:12,800 --> 00:10:14,520 Speaker 3: the people on the ground there for a while, but 168 00:10:14,760 --> 00:10:19,440 Speaker 3: the temperature really turned up after a YouTube video was 169 00:10:19,520 --> 00:10:24,400 Speaker 3: published by a influencer named Nick Shirley. He's your typical 170 00:10:24,520 --> 00:10:27,319 Speaker 3: kind of like right wing dueb who shows up and 171 00:10:27,720 --> 00:10:29,880 Speaker 3: causes a big moral panic, which is what my podcast 172 00:10:29,960 --> 00:10:32,679 Speaker 3: Panic World focuses on these sort of moral panics that 173 00:10:32,720 --> 00:10:35,200 Speaker 3: come through the culture every once. 174 00:10:35,080 --> 00:10:35,520 Speaker 2: In a while. 175 00:10:35,720 --> 00:10:40,800 Speaker 3: And his documentary, quote unquote, was about daycares in Minnesota 176 00:10:40,920 --> 00:10:46,640 Speaker 3: that were allegedly committing fraud by not having any children enrolled. Now, 177 00:10:46,800 --> 00:10:49,840 Speaker 3: there is a problem with fraud in Minnesota. It's a 178 00:10:49,840 --> 00:10:52,400 Speaker 3: problem that has been known about for years. The FBI 179 00:10:52,520 --> 00:10:57,680 Speaker 3: was even already investigating it. The issue with Nick Shirley's 180 00:10:57,760 --> 00:10:59,640 Speaker 3: video is that it took a lot of what was 181 00:10:59,679 --> 00:11:02,520 Speaker 3: already known, already reported by local news agencies and even 182 00:11:02,600 --> 00:11:06,439 Speaker 3: national news agencies, and packaged it into the most hysterical 183 00:11:06,920 --> 00:11:09,800 Speaker 3: thing you could imagine. It was doing pretty well on YouTube, 184 00:11:09,840 --> 00:11:12,920 Speaker 3: and then Shirley uploaded the entirety of it to x 185 00:11:13,600 --> 00:11:17,000 Speaker 3: and even though x is not nearly as healthy as 186 00:11:17,000 --> 00:11:20,120 Speaker 3: Twitter used to be in terms of user base, almost 187 00:11:20,160 --> 00:11:23,960 Speaker 3: the entire Trump administration is on it all day and 188 00:11:24,040 --> 00:11:27,800 Speaker 3: so it created this firestorm where you have Elon Musk, 189 00:11:27,800 --> 00:11:29,680 Speaker 3: and you have Vice President A Vance, and you have 190 00:11:30,120 --> 00:11:33,400 Speaker 3: FBI Director Cash Mattel all sharing the video saying we've 191 00:11:33,400 --> 00:11:37,080 Speaker 3: got to do something about this immediately, and that led 192 00:11:37,120 --> 00:11:42,040 Speaker 3: to an increased presence of ICE agents in Minneapolis and 193 00:11:42,120 --> 00:11:45,320 Speaker 3: Saint Paul, and then that led directly to Renee Nicole 194 00:11:45,400 --> 00:11:46,280 Speaker 3: Good being murdered. 195 00:11:46,679 --> 00:11:49,240 Speaker 1: I think an important caveat is that this was not 196 00:11:49,360 --> 00:11:52,360 Speaker 1: something that hadn't been dealt with or reported about, right, 197 00:11:52,440 --> 00:11:55,160 Speaker 1: had been written about extensively in the New York Times, 198 00:11:55,160 --> 00:11:57,840 Speaker 1: in the Watch and Post, and in fact, these people 199 00:11:57,920 --> 00:12:02,360 Speaker 1: had been prosecuted and one or something had been charged, 200 00:12:02,480 --> 00:12:05,240 Speaker 1: people had gone to jail, Like this was actually a 201 00:12:05,320 --> 00:12:09,280 Speaker 1: story that it all happened. It just these people didn't 202 00:12:09,320 --> 00:12:12,000 Speaker 1: read the mainstream media and so they had never heard 203 00:12:12,040 --> 00:12:12,520 Speaker 1: about it. 204 00:12:13,280 --> 00:12:16,679 Speaker 3: Yeah, exactly. It put it all right in to the 205 00:12:17,080 --> 00:12:20,080 Speaker 3: you know, the lap of the administration, and then they 206 00:12:20,120 --> 00:12:21,520 Speaker 3: acted like it was brand new information. 207 00:12:21,840 --> 00:12:26,280 Speaker 1: They're trying to prosecute fraud that's been prosecuted by sending 208 00:12:26,360 --> 00:12:32,680 Speaker 1: ICE agents in to basically target smallly people, many of 209 00:12:32,679 --> 00:12:34,679 Speaker 1: whom had protected status. 210 00:12:35,120 --> 00:12:38,280 Speaker 3: Yeah, and I think that it's important to understand this 211 00:12:38,320 --> 00:12:42,280 Speaker 3: as an evolution of the governing strategy, if you want 212 00:12:42,320 --> 00:12:45,000 Speaker 3: to call it that of the first Trump administration, which 213 00:12:45,240 --> 00:12:49,040 Speaker 3: in Trump won, it was very much a performance for 214 00:12:49,200 --> 00:12:53,120 Speaker 3: Fox and Friends. We know that the president would effectively 215 00:12:53,160 --> 00:12:56,040 Speaker 3: govern that day based on what he saw on Fox 216 00:12:56,040 --> 00:12:57,920 Speaker 3: and Friends and then wait for Fox and Friends the 217 00:12:57,920 --> 00:13:01,440 Speaker 3: next morning to kind of grade him or process what 218 00:13:01,480 --> 00:13:05,120 Speaker 3: he's done. And I do think that that is still 219 00:13:05,160 --> 00:13:08,160 Speaker 3: fairly true for him, at least, like I don't really 220 00:13:08,200 --> 00:13:10,120 Speaker 3: think he's that online of a human beings. I don't 221 00:13:10,160 --> 00:13:12,199 Speaker 3: think that Donald Trump knows what four Chan is right. 222 00:13:12,880 --> 00:13:17,720 Speaker 3: But in Trump too, he has amassed this regime of 223 00:13:18,120 --> 00:13:21,880 Speaker 3: former podcasters and even former Fox News hosts who are 224 00:13:21,880 --> 00:13:24,560 Speaker 3: all com You know, there's been rumors forever that Vice 225 00:13:24,559 --> 00:13:27,680 Speaker 3: President Vance is in Groper Discords and DM groups, and 226 00:13:28,040 --> 00:13:33,160 Speaker 3: so he has a very online administration. And they are 227 00:13:33,240 --> 00:13:36,040 Speaker 3: still doing this. They are still performing for the media, 228 00:13:36,120 --> 00:13:39,040 Speaker 3: but the definition of media has changed, and it's and 229 00:13:39,800 --> 00:13:42,000 Speaker 3: it's not just a performance in the sense that they 230 00:13:42,000 --> 00:13:45,000 Speaker 3: are hoping to get media coverage. They are also informing 231 00:13:45,000 --> 00:13:47,880 Speaker 3: what they do based on what they see in the media, 232 00:13:47,960 --> 00:13:50,520 Speaker 3: which at this point now can you know, counts as 233 00:13:50,520 --> 00:13:53,080 Speaker 3: the whole internet. So it's a real two way street. 234 00:13:53,120 --> 00:13:55,240 Speaker 3: And so if you're looking at Minnesota and you're saying, 235 00:13:55,400 --> 00:13:58,120 Speaker 3: why are they just like ransacking the place and sending 236 00:13:58,160 --> 00:14:00,679 Speaker 3: ice agents all over the place and tearing people, it's 237 00:14:00,720 --> 00:14:03,080 Speaker 3: because that makes for the best clips that then go 238 00:14:03,160 --> 00:14:05,000 Speaker 3: back on social media. It's a it's a loop. 239 00:14:05,280 --> 00:14:07,880 Speaker 1: In this loop, what is the goal? 240 00:14:08,600 --> 00:14:12,160 Speaker 3: To be the best president he can possibly be? So 241 00:14:12,240 --> 00:14:14,880 Speaker 3: the goal, like it strikes. 242 00:14:14,480 --> 00:14:18,760 Speaker 1: Me a lot of what they talk about is deporting 243 00:14:19,040 --> 00:14:22,840 Speaker 1: a lot of people, which isn't happening, and the and 244 00:14:22,880 --> 00:14:26,200 Speaker 1: the media stuff is actually making it harder. But let's 245 00:14:26,200 --> 00:14:29,400 Speaker 1: not argue with that because we you know, we want 246 00:14:29,440 --> 00:14:32,080 Speaker 1: it to be that way. But I mean their stated goal, 247 00:14:32,160 --> 00:14:34,880 Speaker 1: if you look at them on the Internet, the goal 248 00:14:35,120 --> 00:14:40,080 Speaker 1: is to bring America back to a sort of you know, 249 00:14:41,000 --> 00:14:44,040 Speaker 1: man in high castle world that never lived, right. 250 00:14:44,400 --> 00:14:46,640 Speaker 3: I think that's true. But I think something that I 251 00:14:46,800 --> 00:14:50,440 Speaker 3: try to impart as often as I can is that 252 00:14:50,880 --> 00:14:53,920 Speaker 3: while the American right and the trumpdministration seem like this 253 00:14:54,200 --> 00:14:58,440 Speaker 3: monolithic machine, this this you know, working in perfect lockstep, 254 00:14:59,040 --> 00:15:01,800 Speaker 3: it's not. It's a of competing interests. And so I 255 00:15:01,800 --> 00:15:05,040 Speaker 3: think there's several things happening one. I do think Trump 256 00:15:05,400 --> 00:15:09,000 Speaker 3: is just a natural performer. You know, in another life, 257 00:15:09,040 --> 00:15:11,320 Speaker 3: he'd just be cleaning out on the view if he 258 00:15:11,400 --> 00:15:14,720 Speaker 3: wasn't a fascist. I think he sort of understands the 259 00:15:14,760 --> 00:15:16,920 Speaker 3: rhythms and the ebbs and flows of the media, and 260 00:15:16,960 --> 00:15:20,360 Speaker 3: he leans into that. He has in his second administration 261 00:15:20,480 --> 00:15:24,360 Speaker 3: surrounded himself with hardcore Blood and Soil nationalists, Steven Miller 262 00:15:24,400 --> 00:15:26,880 Speaker 3: being chief among them. But also he has now the 263 00:15:27,040 --> 00:15:29,560 Speaker 3: entire support network of the Project twenty twenty five people, 264 00:15:29,600 --> 00:15:32,720 Speaker 3: so they are much more organized in that direction. But 265 00:15:33,800 --> 00:15:37,360 Speaker 3: because Trump is such a creature of the media, he 266 00:15:37,400 --> 00:15:40,240 Speaker 3: can't help himself from hiring people who come from that world. 267 00:15:40,280 --> 00:15:46,160 Speaker 3: So you have an administration where there are genuine, cold, 268 00:15:46,480 --> 00:15:50,160 Speaker 3: calculating ideologues acting out a as you said, man in 269 00:15:50,160 --> 00:15:54,880 Speaker 3: the High Castle domestic policy. But it's being led by 270 00:15:55,280 --> 00:15:59,040 Speaker 3: circus clowns, like it's being led by the dumbest people imaginable, 271 00:15:59,320 --> 00:16:01,920 Speaker 3: who are focusing more on what looks good in a 272 00:16:02,040 --> 00:16:06,480 Speaker 3: video leader Chirsty Known, Pete Hegsith Cash Coutel. These people 273 00:16:06,720 --> 00:16:11,120 Speaker 3: only know content, and so it is kind of funny. 274 00:16:11,120 --> 00:16:13,880 Speaker 3: I mean, I suppose it's like all authoritarian regimes where 275 00:16:14,120 --> 00:16:17,040 Speaker 3: it's full of the most evil people you've ever imagined 276 00:16:17,160 --> 00:16:20,320 Speaker 3: and the dumbest people imaginable, and there's a big Van 277 00:16:20,400 --> 00:16:23,840 Speaker 3: diagram between the two. But it's not working the way 278 00:16:23,920 --> 00:16:27,240 Speaker 3: that I think they thought it would work. I also suspect, 279 00:16:27,640 --> 00:16:29,920 Speaker 3: because of the media landscape being so different now that 280 00:16:29,960 --> 00:16:32,320 Speaker 3: they're in their own version of a filter bubble, and 281 00:16:32,440 --> 00:16:35,200 Speaker 3: maybe up until Renee Nicole good you know, I don't 282 00:16:35,200 --> 00:16:36,600 Speaker 3: want to give them too much credit here or sort 283 00:16:36,640 --> 00:16:39,880 Speaker 3: of right, but it's possible that they actually were so 284 00:16:40,000 --> 00:16:42,600 Speaker 3: deep in their own filter bubble that they didn't totally 285 00:16:42,640 --> 00:16:46,400 Speaker 3: get how this would look to normal people, which is horrific. 286 00:16:47,040 --> 00:16:51,200 Speaker 1: Yeah, so let's talk about that, because after it happened, 287 00:16:51,360 --> 00:16:54,520 Speaker 1: we saw, you know, they just set more people in 288 00:16:55,080 --> 00:17:00,920 Speaker 1: to Minnesota. They now want to investigate Rene Nicole good wife. 289 00:17:01,440 --> 00:17:05,600 Speaker 1: They want to investigate Tim Wallas, they want to investigate 290 00:17:05,680 --> 00:17:08,200 Speaker 1: Jacob Fray, they want to investigate anyone they can find, 291 00:17:08,240 --> 00:17:12,040 Speaker 1: but they don't want to investigate the guy who murdered her. No, 292 00:17:12,800 --> 00:17:16,680 Speaker 1: the polling on this is very bad. Okay, there are 293 00:17:16,720 --> 00:17:19,359 Speaker 1: certainly people for whom this is great, but a lot 294 00:17:19,440 --> 00:17:21,600 Speaker 1: but the sort of the people you need to win 295 00:17:21,680 --> 00:17:25,919 Speaker 1: elections you've lost on this issue. So, I mean, do 296 00:17:26,040 --> 00:17:30,600 Speaker 1: you think there's a feeling here, you know, from what 297 00:17:30,680 --> 00:17:33,600 Speaker 1: you see online, that there's some kind of pullback, that 298 00:17:33,640 --> 00:17:35,639 Speaker 1: there's some kind I mean, what do you see online? 299 00:17:35,720 --> 00:17:39,840 Speaker 1: And also what else are they interested in now. 300 00:17:39,800 --> 00:17:46,960 Speaker 3: Green Lindon, Canada, in Venezuela. Apparently, I do think that 301 00:17:47,040 --> 00:17:50,240 Speaker 3: they assume this would be more popular. It does seem 302 00:17:50,320 --> 00:17:54,440 Speaker 3: like they are stuck in a situation that I think 303 00:17:54,520 --> 00:17:57,760 Speaker 3: is very common for this kind of administration around you know, 304 00:17:57,960 --> 00:17:59,919 Speaker 3: in governments around the world, which is that they can 305 00:18:00,160 --> 00:18:03,639 Speaker 3: not project weakness, They cannot admit they've they've screwed up, 306 00:18:03,720 --> 00:18:07,159 Speaker 3: or that they're wrong. But they also do understand that 307 00:18:07,200 --> 00:18:10,280 Speaker 3: to a certain extent, they are beholden to the popularity 308 00:18:10,400 --> 00:18:15,000 Speaker 3: of their support base, right, So you know, I've seen 309 00:18:15,160 --> 00:18:18,399 Speaker 3: arguments that this is how a regime acts when they 310 00:18:18,400 --> 00:18:20,160 Speaker 3: don't think they're gonna have to care about voting again. 311 00:18:20,200 --> 00:18:22,640 Speaker 3: But I think that's a little simplistic. Even the most 312 00:18:22,680 --> 00:18:25,560 Speaker 3: toutalitarian regimes on Earth still have to play some form 313 00:18:25,560 --> 00:18:29,520 Speaker 3: of game with the people that they are, you know, controlling. 314 00:18:29,400 --> 00:18:33,480 Speaker 1: Especially a year into it, right, I mean, like if 315 00:18:33,520 --> 00:18:36,080 Speaker 1: it were we were ten years into it, you could say, 316 00:18:36,200 --> 00:18:38,359 Speaker 1: all right, but it's pretty new. 317 00:18:38,760 --> 00:18:41,199 Speaker 3: And also we still haven't, you know, been able to 318 00:18:41,200 --> 00:18:43,480 Speaker 3: get rid of that pesky First Amendment. So we're in 319 00:18:43,520 --> 00:18:46,520 Speaker 3: a different landscape than let's say, Weimar Republic, Germany and 320 00:18:46,560 --> 00:18:50,880 Speaker 3: the Thread or something now. So I think my most 321 00:18:50,920 --> 00:18:54,760 Speaker 3: charitable interpretation based on what I can see from for 322 00:18:54,840 --> 00:18:58,040 Speaker 3: your listeners who don't aren't familiar with me, Like, I'm 323 00:18:58,080 --> 00:18:59,760 Speaker 3: not going to claim that I have inside sources in 324 00:18:59,760 --> 00:19:03,000 Speaker 3: the way house, but I do read an unimaginable amount 325 00:19:03,040 --> 00:19:05,159 Speaker 3: of right wing media coverage, and I have sort of 326 00:19:05,240 --> 00:19:08,480 Speaker 3: come to understand it as something a little more scientific 327 00:19:08,520 --> 00:19:12,680 Speaker 3: than reading tea leaves that they are clearly all trying 328 00:19:12,720 --> 00:19:15,080 Speaker 3: to the way they work is like they will all 329 00:19:15,119 --> 00:19:17,880 Speaker 3: blast the Internet with different forms of messaging, and then 330 00:19:17,960 --> 00:19:20,320 Speaker 3: the messaging that works they tend to lean into. We 331 00:19:20,359 --> 00:19:22,080 Speaker 3: saw this with Cracker Burrow, we saw this with Sidney 332 00:19:22,119 --> 00:19:24,520 Speaker 3: sweeneze Jeans. They do this all the time, and so 333 00:19:25,240 --> 00:19:28,119 Speaker 3: I have seen them beginning to experiment with how do 334 00:19:28,240 --> 00:19:31,600 Speaker 3: we get away from this? Now? Of course you're going 335 00:19:31,680 --> 00:19:33,720 Speaker 3: to find the diehards that want to start the next 336 00:19:33,760 --> 00:19:35,800 Speaker 3: American Civil War in the Twin Cities, and they want 337 00:19:35,840 --> 00:19:38,880 Speaker 3: to just ransack the place and destroy it, and they're craving, 338 00:19:39,000 --> 00:19:41,560 Speaker 3: you know, blood. But I do think that there is 339 00:19:41,600 --> 00:19:45,520 Speaker 3: a emerging voice on the right that is saying that 340 00:19:45,560 --> 00:19:48,840 Speaker 3: we need something else. And typically I joked about this 341 00:19:48,840 --> 00:19:51,680 Speaker 3: at the start of this question, but typically what Trump 342 00:19:51,760 --> 00:19:53,440 Speaker 3: does is he likes to dangle a new set of 343 00:19:53,480 --> 00:19:56,760 Speaker 3: keys in front of the babies. So if everything has 344 00:19:56,800 --> 00:20:00,159 Speaker 3: gone completely pear shaped in Minnesota, well it's time to 345 00:20:00,920 --> 00:20:06,480 Speaker 3: you know, create our own like invasion of Ukraine with Alberta, Canada, 346 00:20:06,520 --> 00:20:09,560 Speaker 3: you know, right right, it's time to go destroy NATO 347 00:20:09,600 --> 00:20:12,240 Speaker 3: in Greenland. So he's constantly spinning these plates. And I 348 00:20:12,240 --> 00:20:14,480 Speaker 3: don't I want to be very clear, I do not 349 00:20:14,640 --> 00:20:17,120 Speaker 3: think that there is some secret room of the White 350 00:20:17,119 --> 00:20:19,040 Speaker 3: House where they're saying, well, if we do this, we'll 351 00:20:19,040 --> 00:20:21,359 Speaker 3: distract people from this. No, if you feel like the 352 00:20:21,359 --> 00:20:24,639 Speaker 3: Trump administration is distracting you, like you have an attention 353 00:20:24,680 --> 00:20:26,399 Speaker 3: span problem and like you just probably need to like 354 00:20:26,400 --> 00:20:28,280 Speaker 3: stop watching the news for a little bit, I think 355 00:20:28,280 --> 00:20:30,960 Speaker 3: they're very, very incompetent. And I but I do think 356 00:20:31,000 --> 00:20:34,679 Speaker 3: that Trump understands that, like he has to always be 357 00:20:34,800 --> 00:20:38,000 Speaker 3: doing something and so you know, if one thing fails 358 00:20:38,040 --> 00:20:40,159 Speaker 3: he can say, well, that didn't fail. Actually we just 359 00:20:40,200 --> 00:20:41,640 Speaker 3: moved on to this right. 360 00:20:42,000 --> 00:20:46,280 Speaker 1: That's actually a terrifying thing to say, because as I'm 361 00:20:46,280 --> 00:20:49,159 Speaker 1: thinking about what Donald Trump could get to next, I mean, 362 00:20:49,240 --> 00:20:53,399 Speaker 1: it's you know, Greenland. The thing that where Trump really 363 00:20:53,400 --> 00:20:57,840 Speaker 1: got into trouble was Epstein. That was the last time 364 00:20:57,880 --> 00:21:01,400 Speaker 1: where we saw him really both to message his way 365 00:21:01,440 --> 00:21:04,360 Speaker 1: out of that. Do you think people have just forgotten 366 00:21:04,400 --> 00:21:06,840 Speaker 1: about it because there's such goldfish brains, or do you 367 00:21:06,880 --> 00:21:08,520 Speaker 1: think that's still a focus. 368 00:21:08,720 --> 00:21:13,520 Speaker 3: I actually just did an interview with Representative Rocanna about 369 00:21:13,520 --> 00:21:16,199 Speaker 3: this for my podcast is coming out shortly, and I 370 00:21:16,240 --> 00:21:19,840 Speaker 3: asked him basically like, where the fuck are you guys, 371 00:21:19,840 --> 00:21:23,720 Speaker 3: like what happened here? And to hear him tell it 372 00:21:23,760 --> 00:21:25,320 Speaker 3: like they are still working on at the momentum is 373 00:21:25,320 --> 00:21:27,280 Speaker 3: still there. But I do think from the public's perspective, 374 00:21:27,600 --> 00:21:29,919 Speaker 3: it has completely disappeared. I think that's resulted in some 375 00:21:30,000 --> 00:21:34,080 Speaker 3: interesting things happening. So I do think because that investigation, 376 00:21:34,080 --> 00:21:37,000 Speaker 3: at least from the public's perspective, is unfinished, the country 377 00:21:37,000 --> 00:21:39,240 Speaker 3: has just sort of assumed that the president is a pedophile, 378 00:21:39,440 --> 00:21:42,919 Speaker 3: like in a way that I mean, you go to 379 00:21:43,080 --> 00:21:45,640 Speaker 3: any space of full of young people on the internet 380 00:21:45,720 --> 00:21:47,080 Speaker 3: right now, and it is just jokes about how the 381 00:21:47,080 --> 00:21:49,600 Speaker 3: president's a pedofile. I mean, I watched a video today 382 00:21:49,640 --> 00:21:53,160 Speaker 3: about a roadblocks seizer that created Epstein's Island on roadblocks, 383 00:21:53,280 --> 00:21:54,760 Speaker 3: and they're just using it to make fun of Trump. 384 00:21:54,760 --> 00:21:58,080 Speaker 3: Like I think, in a way, not having a definitive 385 00:21:58,560 --> 00:22:01,600 Speaker 3: answer on what exactly is these Epstein files has allowed 386 00:22:01,680 --> 00:22:04,639 Speaker 3: the I mean, we just saw that the guy what 387 00:22:04,720 --> 00:22:08,840 Speaker 3: the Auto Plant called Trump a pedophile protector. Like I think, 388 00:22:08,840 --> 00:22:11,200 Speaker 3: it has just entered the public consciousness that like Trump 389 00:22:11,240 --> 00:22:14,000 Speaker 3: at the very least was best friends with Epstein. That 390 00:22:14,040 --> 00:22:17,159 Speaker 3: doesn't get the victims obviously, any sort of closure, it 391 00:22:17,200 --> 00:22:18,760 Speaker 3: doesn't help anyone. 392 00:22:18,840 --> 00:22:23,120 Speaker 1: But it's a bit worse though it is that probably 393 00:22:23,480 --> 00:22:24,560 Speaker 1: what's in there. 394 00:22:25,080 --> 00:22:27,720 Speaker 2: I mean, yeah, I don't know, but I mean, we. 395 00:22:27,680 --> 00:22:30,280 Speaker 1: Don't know what's in there. But from what I understand, 396 00:22:30,359 --> 00:22:34,119 Speaker 1: there's more like financial mouth seasons is more of the issue. 397 00:22:34,760 --> 00:22:39,000 Speaker 1: But that people just assume the worst is pretty incredible. 398 00:22:39,640 --> 00:22:42,560 Speaker 3: Yeah, And I think because that's hanging over him, he 399 00:22:42,680 --> 00:22:47,080 Speaker 3: is acting more desperate than usual. I think that is 400 00:22:47,240 --> 00:22:50,960 Speaker 3: impacting his decision making, if he is even making these decisions, 401 00:22:51,000 --> 00:22:53,680 Speaker 3: because I think another question mark that hangs over all 402 00:22:53,720 --> 00:22:57,800 Speaker 3: of this is exactly how active is he in any 403 00:22:57,840 --> 00:23:00,080 Speaker 3: of this other than ranting on truth social and you know, 404 00:23:00,160 --> 00:23:02,800 Speaker 3: leaking the text that he's getting from Emmanuel Macron, Like 405 00:23:03,480 --> 00:23:06,000 Speaker 3: what is his actual involvement in any of these things? 406 00:23:06,320 --> 00:23:08,879 Speaker 3: And I sort of treat him like a Carnival barker, 407 00:23:09,080 --> 00:23:11,199 Speaker 3: Like whatever they're doing, he's just going to sort of 408 00:23:11,680 --> 00:23:14,080 Speaker 3: act like it's his idea and sort of take control 409 00:23:14,119 --> 00:23:18,040 Speaker 3: of it. But I don't know, I don't know, you 410 00:23:18,080 --> 00:23:20,920 Speaker 3: know in those closed rooms exactly what the Epstein thing 411 00:23:21,000 --> 00:23:23,479 Speaker 3: means to them, But they are acting more desperate than 412 00:23:23,520 --> 00:23:25,200 Speaker 3: they were let's say six months ago. 413 00:23:25,359 --> 00:23:28,520 Speaker 1: When Trump first became president again, this time he just 414 00:23:28,600 --> 00:23:30,879 Speaker 1: had this sort of wind at his back, and he 415 00:23:30,960 --> 00:23:34,320 Speaker 1: had people who had never supported him supporting him. And 416 00:23:34,359 --> 00:23:37,639 Speaker 1: you had you know, tech billionaires saying like this is 417 00:23:37,680 --> 00:23:40,159 Speaker 1: it the golden age of innovation? So we've seen that 418 00:23:40,200 --> 00:23:43,640 Speaker 1: he's just shit about it every which way. You see, 419 00:23:43,680 --> 00:23:46,000 Speaker 1: his numbers with young people are really bad. I mean, 420 00:23:46,040 --> 00:23:49,120 Speaker 1: do you see since you do spend along a lot 421 00:23:49,160 --> 00:23:51,560 Speaker 1: of time on the internet, do you see like Trump 422 00:23:51,560 --> 00:23:55,000 Speaker 1: regrad or are the conservative influencers so bought in it 423 00:23:55,040 --> 00:23:57,640 Speaker 1: doesn't matter? And do you see them have pushback from 424 00:23:57,680 --> 00:23:59,800 Speaker 1: their viewers, listeners, et cetera. 425 00:24:00,160 --> 00:24:03,480 Speaker 3: The thing that worries me about the idea of Trump regret, 426 00:24:03,560 --> 00:24:05,840 Speaker 3: which I haven't seen. Instead, I've seen something kind of 427 00:24:05,920 --> 00:24:10,120 Speaker 3: more unsettling, which is there is clearly like a disillusionment 428 00:24:10,640 --> 00:24:13,280 Speaker 3: and an anger about Trump, And you can see it 429 00:24:13,320 --> 00:24:16,000 Speaker 3: even on even in far right spaces who don't think 430 00:24:16,040 --> 00:24:18,960 Speaker 3: he went far enough or he's gotten distracted by side 431 00:24:19,040 --> 00:24:21,080 Speaker 3: quests according to them that like they're not interested in. 432 00:24:21,359 --> 00:24:23,199 Speaker 3: Based on what I've seen, I would say that it 433 00:24:23,280 --> 00:24:27,439 Speaker 3: is like a complete sort of dropping out of politics, 434 00:24:27,960 --> 00:24:31,480 Speaker 3: a sort of feeling that nothing can ever be fixed, hopelessness. 435 00:24:31,520 --> 00:24:34,280 Speaker 3: And that is where I start to get really frustrated 436 00:24:34,280 --> 00:24:36,240 Speaker 3: with the Democrats who have still not really been able 437 00:24:36,280 --> 00:24:37,440 Speaker 3: to spin up a new story. 438 00:24:37,680 --> 00:24:42,320 Speaker 1: Those maga people who thought Trump was going to like 439 00:24:42,760 --> 00:24:46,440 Speaker 1: deport all the people don't look like them. Those guys 440 00:24:46,480 --> 00:24:48,720 Speaker 1: are not going to become Democrats of course. 441 00:24:48,800 --> 00:24:53,760 Speaker 3: That I'm talking about the young people who may have said, oh, 442 00:24:53,840 --> 00:24:56,600 Speaker 3: you know, Trump is promising me a good economy and 443 00:24:56,680 --> 00:24:58,760 Speaker 3: jobs and all the rest, and that's gonna be great 444 00:24:58,760 --> 00:25:01,080 Speaker 3: for me. And then those people are the same people 445 00:25:01,119 --> 00:25:04,280 Speaker 3: who I think are starting to light up around the 446 00:25:04,320 --> 00:25:08,840 Speaker 3: ICE activity that I definitely saw it firsthand in Minneapolis. 447 00:25:09,160 --> 00:25:10,639 Speaker 3: I talk to people who have never been to a 448 00:25:10,640 --> 00:25:12,640 Speaker 3: protest before and they're being tear gased by ICE agents 449 00:25:12,680 --> 00:25:14,680 Speaker 3: in front of the Federal building. Like that, that is happening. 450 00:25:14,800 --> 00:25:17,320 Speaker 3: But I do think that there is this question mark 451 00:25:17,600 --> 00:25:21,440 Speaker 3: of what now. Okay, Trump didn't work, what now? And 452 00:25:22,040 --> 00:25:24,320 Speaker 3: you know, I have the privilege of saying this from 453 00:25:24,400 --> 00:25:27,000 Speaker 3: New York, where you have this huge energy around to 454 00:25:27,080 --> 00:25:29,600 Speaker 3: our mom DAMMI, and like there is this feeling like, Okay, 455 00:25:29,640 --> 00:25:32,080 Speaker 3: maybe there's a path forward with some sort of a 456 00:25:32,160 --> 00:25:35,679 Speaker 3: way to get people back. But I think the country 457 00:25:35,760 --> 00:25:38,960 Speaker 3: is still kind of not sure, Okay, what happens now? 458 00:25:39,040 --> 00:25:41,120 Speaker 3: And maybe it's because they're overloaded by information. The Trump 459 00:25:41,119 --> 00:25:43,520 Speaker 3: administration is still very active and still pursuing a million 460 00:25:43,560 --> 00:25:46,119 Speaker 3: different avenues. But I think there is a hopelessness and 461 00:25:46,160 --> 00:25:48,080 Speaker 3: a question of like what now. 462 00:25:48,640 --> 00:25:51,720 Speaker 1: Yeah, I mean, I hate everything, So I just want 463 00:25:51,800 --> 00:25:54,000 Speaker 1: to ask you a question. I am in no way 464 00:25:54,080 --> 00:25:57,359 Speaker 1: endorsing any politician ever at all for the rest of 465 00:25:57,359 --> 00:26:00,359 Speaker 1: my life, because I hate everyone. But I just I'm 466 00:26:00,440 --> 00:26:05,040 Speaker 1: curious Gavin Newsom again, not an endorsement any which way, 467 00:26:05,440 --> 00:26:07,080 Speaker 1: but he did go to Davos. 468 00:26:07,359 --> 00:26:07,760 Speaker 2: He did. 469 00:26:07,880 --> 00:26:10,240 Speaker 1: So you have Donald Trump and Davos, and you do 470 00:26:10,400 --> 00:26:16,160 Speaker 1: have Gavin Newsom being like this fucking guy. So thoughts, questions, prayers. 471 00:26:15,760 --> 00:26:20,800 Speaker 3: Go, I mean, uh, I mean, he's. 472 00:26:20,640 --> 00:26:23,400 Speaker 1: Not our politics, but like, is it more of what 473 00:26:23,440 --> 00:26:26,560 Speaker 1: you want that kind of thing pushing back on him 474 00:26:26,640 --> 00:26:29,840 Speaker 1: or do you think I two opportunities that I think 475 00:26:29,960 --> 00:26:32,840 Speaker 1: right now, it's like because you have nothing else. 476 00:26:33,119 --> 00:26:36,119 Speaker 3: Yeah, It's like I'm up for anything that feels aggressive 477 00:26:36,280 --> 00:26:38,960 Speaker 3: and active. Like you know, I was looking through the 478 00:26:39,040 --> 00:26:43,240 Speaker 3: sort of mainstream Democrat response to the ICE insurgency in Minneapolis, 479 00:26:43,280 --> 00:26:45,040 Speaker 3: and I was looking to see, okay, what have people suggested. 480 00:26:45,119 --> 00:26:47,960 Speaker 3: So you have you have Representative Richie Torres who thinks 481 00:26:47,960 --> 00:26:49,800 Speaker 3: that we should put QR codes on the ICE agent 482 00:26:49,840 --> 00:26:51,680 Speaker 3: so you can scan them like a restaurant menu before 483 00:26:51,720 --> 00:26:53,800 Speaker 3: they smash the windows of your car. And then I 484 00:26:53,800 --> 00:26:56,040 Speaker 3: think Senator Corey Booker yesterday was like, oh, we should 485 00:26:56,040 --> 00:26:57,399 Speaker 3: just train them better and then we should pass the 486 00:26:57,400 --> 00:27:00,000 Speaker 3: bill so they have body camps that they can turn off, 487 00:27:00,080 --> 00:27:02,320 Speaker 3: but they'll have them. I get the instinct, I get 488 00:27:02,359 --> 00:27:05,879 Speaker 3: the impulse to sort of treat this administration like business 489 00:27:05,880 --> 00:27:08,320 Speaker 3: as usual that if you are the party of sanity 490 00:27:08,400 --> 00:27:11,720 Speaker 3: and and common sense, that the world will turn back 491 00:27:11,880 --> 00:27:15,080 Speaker 3: and be fine. And I coming from Minneapolis and being 492 00:27:15,119 --> 00:27:18,160 Speaker 3: there for for days and and and seeing what life 493 00:27:18,280 --> 00:27:20,440 Speaker 3: is like when a community has been put under the 494 00:27:20,440 --> 00:27:23,960 Speaker 3: Trump spotlight the way it has, that makes my blood boil. Yeah, 495 00:27:24,000 --> 00:27:26,840 Speaker 3: it makes me feel crazy, because like you are having 496 00:27:26,880 --> 00:27:31,359 Speaker 3: school teachers and you're having normal, just average, the most 497 00:27:31,400 --> 00:27:34,400 Speaker 3: average American you could imagine, the most quote unquote good 498 00:27:34,440 --> 00:27:39,160 Speaker 3: immigrants you could possibly ask for being brutalized now for 499 00:27:39,160 --> 00:27:41,919 Speaker 3: for for no reason, and and and I don't know 500 00:27:41,920 --> 00:27:46,240 Speaker 3: how as politics as usual can confiss that. 501 00:27:47,280 --> 00:27:50,680 Speaker 1: So would you say abolish ice is a center's position now? 502 00:27:50,960 --> 00:27:52,840 Speaker 3: I think it has to be. I mean, I've read 503 00:27:52,840 --> 00:27:55,280 Speaker 3: all the discourse about whether defund the police was a 504 00:27:55,280 --> 00:27:57,600 Speaker 3: good slogan or not, and whether abolished ice is good 505 00:27:57,640 --> 00:28:00,240 Speaker 3: or not. All I can say is someone who the 506 00:28:00,280 --> 00:28:04,280 Speaker 3: job I do is like, if I seeing what I've seen, 507 00:28:04,760 --> 00:28:07,880 Speaker 3: that can't exist in a healthy democracy. You can't have 508 00:28:08,280 --> 00:28:12,359 Speaker 3: masked thugs with assault weapons pointing them at random people 509 00:28:12,760 --> 00:28:14,760 Speaker 3: and smashing down their doors with no warrant. 510 00:28:14,840 --> 00:28:17,320 Speaker 1: You don't like a private militia for your president. 511 00:28:17,560 --> 00:28:20,560 Speaker 3: I mean, let's try the teeth. I think we as 512 00:28:20,640 --> 00:28:23,399 Speaker 3: podcasters should get private militias to protect us. 513 00:28:23,560 --> 00:28:27,240 Speaker 1: Actually, I sure have one. No, listen, I agree, and 514 00:28:27,400 --> 00:28:31,240 Speaker 1: we're completely fucked. Thank you, Ryan, thanks for having me. 515 00:28:34,440 --> 00:28:39,040 Speaker 1: Tina Brown is the author of the sub stack Fresh Hell. 516 00:28:39,640 --> 00:28:41,240 Speaker 1: Welcome Tina, thank you. 517 00:28:41,440 --> 00:28:43,000 Speaker 4: It's great to be with you. Molly. 518 00:28:44,080 --> 00:28:48,160 Speaker 1: It's mad, mad world. So it is a very mad 519 00:28:48,280 --> 00:28:51,800 Speaker 1: mad world. And right now as we're talking, Donald Trump 520 00:28:51,960 --> 00:28:56,920 Speaker 1: is in Davos. What is your takeaway of the last 521 00:28:57,040 --> 00:28:58,400 Speaker 1: from the last five hours. 522 00:28:58,640 --> 00:29:00,560 Speaker 4: Well, actually, for the first time. You know, I used 523 00:29:00,560 --> 00:29:03,400 Speaker 4: to go to Devil's every year for ten years. I 524 00:29:03,560 --> 00:29:05,480 Speaker 4: used to do this kind of big woman's dinner, and 525 00:29:05,480 --> 00:29:07,840 Speaker 4: when I noticed that there were more private planes on 526 00:29:07,880 --> 00:29:10,480 Speaker 4: the tarmac than there were actually women present, this is 527 00:29:10,520 --> 00:29:13,200 Speaker 4: the one year I just wish I was there because 528 00:29:13,240 --> 00:29:16,640 Speaker 4: it is ethic. I mean, he's on such a rampage. 529 00:29:16,640 --> 00:29:19,560 Speaker 4: At least we now know what Susie Wilds meant when 530 00:29:19,600 --> 00:29:22,280 Speaker 4: she said that he has an alcoholics personality right because 531 00:29:22,320 --> 00:29:25,080 Speaker 4: he is like on a massive bender right now and 532 00:29:25,120 --> 00:29:28,280 Speaker 4: it feels like someone has to do an intervention. Maybe 533 00:29:28,320 --> 00:29:32,160 Speaker 4: he's like his sponsor in the AA group, you know, 534 00:29:32,200 --> 00:29:34,800 Speaker 4: it has to do some kind of intervention because it's like, 535 00:29:35,560 --> 00:29:39,040 Speaker 4: because he's so unfettered, because there is nobody stopping him, 536 00:29:39,160 --> 00:29:42,840 Speaker 4: he is now let loose on the world in a 537 00:29:42,880 --> 00:29:45,560 Speaker 4: way that is truly, truly alarming. And I think part 538 00:29:45,600 --> 00:29:47,960 Speaker 4: of it is because he thinks the midterms are coming. 539 00:29:48,080 --> 00:29:51,520 Speaker 4: He's got like six months to just be the dinosaur 540 00:29:51,680 --> 00:29:54,160 Speaker 4: who can you know, be unchecked. I mean, I love 541 00:29:54,240 --> 00:29:56,400 Speaker 4: what Gavin Newsom said today and when he said that 542 00:29:56,480 --> 00:29:59,160 Speaker 4: you know that he's a t rex, right, he said, 543 00:29:59,400 --> 00:30:01,280 Speaker 4: you make with him, we devise you one of the other. 544 00:30:01,520 --> 00:30:03,600 Speaker 4: He's absolutely right. It was a great quote. Actually, I 545 00:30:03,600 --> 00:30:08,000 Speaker 4: think Newsom is doing extremely well with the pushback because 546 00:30:08,040 --> 00:30:10,760 Speaker 4: it has to be done. Far has to meet with fire, 547 00:30:10,880 --> 00:30:14,800 Speaker 4: and unless somebody comes on like Newsom against him, we're sunk. 548 00:30:15,160 --> 00:30:21,080 Speaker 1: We saw a bipartisan group go to Denmark and talk 549 00:30:21,160 --> 00:30:23,840 Speaker 1: to them about the greenland stuff, try to make them 550 00:30:23,880 --> 00:30:28,080 Speaker 1: feel better. All of that was sort of raised by 551 00:30:28,120 --> 00:30:30,880 Speaker 1: Trump admitting then, you know, he no longer has to 552 00:30:30,960 --> 00:30:34,640 Speaker 1: focus on peace. Were you surprised that he said the 553 00:30:34,800 --> 00:30:35,960 Speaker 1: quiet part out loud? 554 00:30:36,280 --> 00:30:38,400 Speaker 4: It was quite stunning. I mean, in a way, it 555 00:30:38,480 --> 00:30:41,720 Speaker 4: was oddly self reflective. When the new York Times said 556 00:30:41,720 --> 00:30:45,520 Speaker 4: to him, is this important into America or psychologically important 557 00:30:45,560 --> 00:30:48,360 Speaker 4: to you? He said psychologically to me. So he was 558 00:30:48,400 --> 00:30:52,920 Speaker 4: actually admitting that he has this kind of yearning, infantile 559 00:30:53,600 --> 00:30:58,880 Speaker 4: sort of neediness to prove that he's zeus. You know, 560 00:30:58,920 --> 00:31:01,560 Speaker 4: that he's the biggest power in the world, and that 561 00:31:01,720 --> 00:31:04,360 Speaker 4: is a pathology, unfortunately for which we're all paying, right, 562 00:31:04,400 --> 00:31:06,280 Speaker 4: I mean, it's like we're all paying the price for 563 00:31:06,360 --> 00:31:09,640 Speaker 4: his personal pathology. But he actually admitted it, which was 564 00:31:09,720 --> 00:31:12,640 Speaker 4: quite interesting, I thought. And yeah, it did surprise me 565 00:31:12,680 --> 00:31:13,560 Speaker 4: actually that he said that. 566 00:31:13,880 --> 00:31:17,440 Speaker 1: In the world when magazines ruled, really, you know, you 567 00:31:17,600 --> 00:31:19,240 Speaker 1: covered all of this, and you knew all of this, 568 00:31:19,360 --> 00:31:21,520 Speaker 1: and you talk to all these people. Are you surprised 569 00:31:21,560 --> 00:31:24,880 Speaker 1: at the cowardice that really has sort of taken over 570 00:31:24,920 --> 00:31:26,520 Speaker 1: the establishment when it comes to Trump. 571 00:31:26,880 --> 00:31:30,360 Speaker 4: It's really been shocking, actually, and it's kind of unfathomable. 572 00:31:30,600 --> 00:31:33,880 Speaker 4: I almost feel that sort of cowardice is a virus 573 00:31:33,880 --> 00:31:37,520 Speaker 4: in some strange ways, just as it has been amazing 574 00:31:37,760 --> 00:31:41,440 Speaker 4: to see the Amieba like sort of falling of so 575 00:31:41,560 --> 00:31:45,680 Speaker 4: many people who you'd think wouldn't And I mean it's 576 00:31:45,760 --> 00:31:48,720 Speaker 4: tough for journalists, as we know, because he's going after 577 00:31:48,720 --> 00:31:51,000 Speaker 4: them all the time. But in the end, journalists can 578 00:31:51,080 --> 00:31:53,960 Speaker 4: only be as brave as the owners of their publication 579 00:31:54,080 --> 00:31:56,440 Speaker 4: allow them to be. I mean, clearly, you can get 580 00:31:56,440 --> 00:31:58,360 Speaker 4: on a substack and write what you like, but we 581 00:31:58,400 --> 00:32:02,800 Speaker 4: also know that without the institutional backing of of a 582 00:32:02,840 --> 00:32:06,800 Speaker 4: strong organization with you know, and a major audience, you're 583 00:32:06,840 --> 00:32:08,920 Speaker 4: not going to have the same kind of impact. And 584 00:32:08,960 --> 00:32:12,040 Speaker 4: when we saw as we did, you know, ABC folding 585 00:32:12,920 --> 00:32:15,560 Speaker 4: you know and paying off Trump in in in the 586 00:32:16,080 --> 00:32:19,200 Speaker 4: you know, George Defnopolis lawsuit, and we've seen the same 587 00:32:19,240 --> 00:32:24,120 Speaker 4: thing happening with CBS. We've seen Jeff Bezos utterly having 588 00:32:24,120 --> 00:32:27,400 Speaker 4: a head transplant in his ownership of The Washington Post. 589 00:32:27,800 --> 00:32:30,520 Speaker 4: I mean, these things have been shocking enough and unfortunately 590 00:32:30,560 --> 00:32:33,880 Speaker 4: been a really big element in this new sort of 591 00:32:33,880 --> 00:32:36,520 Speaker 4: climate of timidity. But I also kind of look at 592 00:32:36,560 --> 00:32:38,520 Speaker 4: some of these Republicans who have been the course of 593 00:32:38,520 --> 00:32:42,040 Speaker 4: the very worst and stunningly pathetic. It's like you look 594 00:32:42,080 --> 00:32:46,080 Speaker 4: at like Mike Mike Johnson sort of sitting behind you know, Trump, 595 00:32:46,120 --> 00:32:50,000 Speaker 4: and he's got this kind of pathetic, little schoolboy sort 596 00:32:50,000 --> 00:32:52,040 Speaker 4: of sort of smile on his face. And then there 597 00:32:52,080 --> 00:32:53,960 Speaker 4: was a wonderful moment that. You know, it was a 598 00:32:54,000 --> 00:32:56,200 Speaker 4: great photograph. I wish it'd have been a steel picture 599 00:32:56,240 --> 00:32:59,760 Speaker 4: of Lindsey Graham on Air Force One sort of standing 600 00:32:59,760 --> 00:33:02,560 Speaker 4: at the door while Trump's standing there at the door 601 00:33:02,560 --> 00:33:05,000 Speaker 4: of Air Force One. You know, I kind of remember 602 00:33:05,040 --> 00:33:07,920 Speaker 4: which of his tirades it was about Venezuela order. And 603 00:33:07,960 --> 00:33:10,320 Speaker 4: he's kind of got a kind of he's wagging his 604 00:33:10,360 --> 00:33:12,840 Speaker 4: little tail like a puppy. I mean, he's looking at 605 00:33:12,920 --> 00:33:16,000 Speaker 4: big old you know, masterful Trump, you know, the big 606 00:33:16,040 --> 00:33:18,360 Speaker 4: master of the universe, and there's a little Lindsey Graham 607 00:33:18,400 --> 00:33:21,920 Speaker 4: with his little wagging tail. It is so pathetic. It 608 00:33:22,000 --> 00:33:26,840 Speaker 4: shows just how authoritarianism takes root. That that that you know, 609 00:33:26,920 --> 00:33:29,600 Speaker 4: if you that there are so many people, you know, 610 00:33:29,680 --> 00:33:33,520 Speaker 4: with holes in their wholes essentially, who are looking to 611 00:33:33,560 --> 00:33:36,000 Speaker 4: be nominated. I was just reading a very interesting piece 612 00:33:36,040 --> 00:33:38,960 Speaker 4: in the Atlantic, you know, about Pam Bondi, about how 613 00:33:39,440 --> 00:33:42,000 Speaker 4: she was known as Bambi, you know, because she was 614 00:33:42,040 --> 00:33:46,600 Speaker 4: this kind of you know, really nice, cooperative, kind of 615 00:33:46,800 --> 00:33:51,240 Speaker 4: not threatening, not not not particularly a list prosecutor, but she, 616 00:33:51,720 --> 00:33:56,120 Speaker 4: you know, she had certain communications gifts and no one 617 00:33:56,120 --> 00:34:00,760 Speaker 4: can understand how rather like Tucker Carson, she's into this 618 00:34:00,840 --> 00:34:03,680 Speaker 4: utterly different person. And of course now you know she's 619 00:34:03,720 --> 00:34:06,520 Speaker 4: wanting to do There are no red lines for Pambondy. 620 00:34:06,640 --> 00:34:09,600 Speaker 4: You know she will do anything. It's really terrifying. And 621 00:34:09,800 --> 00:34:11,839 Speaker 4: you know we will read about the thirties and keep 622 00:34:11,880 --> 00:34:14,240 Speaker 4: asking ourselves how could this happen? How could that happen? 623 00:34:14,440 --> 00:34:17,720 Speaker 4: We now see how it can happen. It's a complete virus, 624 00:34:17,760 --> 00:34:21,760 Speaker 4: this this fear, and it's very very alarming. 625 00:34:21,840 --> 00:34:25,680 Speaker 1: Indeed, I wonder when we talk about tariffs, like the 626 00:34:25,719 --> 00:34:29,680 Speaker 1: whole point of the tariffs would be entour manufacturing. That's 627 00:34:29,719 --> 00:34:32,560 Speaker 1: not happening because Donald Trump is so you know, he's 628 00:34:32,680 --> 00:34:36,400 Speaker 1: using tariffs in a way that is willy nelly and 629 00:34:36,480 --> 00:34:39,600 Speaker 1: not organized. So people don't want to build factories based 630 00:34:39,640 --> 00:34:43,560 Speaker 1: on what a mad king tweets one day and not another. 631 00:34:44,160 --> 00:34:47,840 Speaker 1: So the central premise of it is faulty. Do you 632 00:34:47,960 --> 00:34:51,479 Speaker 1: think a place like Davos where you have someone come 633 00:34:51,520 --> 00:34:55,799 Speaker 1: in and try to sell an idea that's faulty. Are 634 00:34:55,800 --> 00:34:59,920 Speaker 1: you surprised that there's not anyone in Davos like explaining 635 00:35:00,120 --> 00:35:06,560 Speaker 1: to him that his entire economic principle is not possible. 636 00:35:06,760 --> 00:35:09,239 Speaker 4: Well, of course, it's always been absolute madness because it 637 00:35:09,280 --> 00:35:12,040 Speaker 4: takes five years to build a factory. I mean, you 638 00:35:12,080 --> 00:35:13,920 Speaker 4: know the fact is that people don't want to go 639 00:35:14,040 --> 00:35:16,200 Speaker 4: back to that kind of economy. It's like he wants 640 00:35:16,280 --> 00:35:19,120 Speaker 4: to put the clock back, not sort of on shore jobs. 641 00:35:19,160 --> 00:35:20,960 Speaker 4: Actually he just wants it to be the world of 642 00:35:21,000 --> 00:35:22,560 Speaker 4: sort of you know, in the nineteen sixties. And it 643 00:35:22,719 --> 00:35:26,160 Speaker 4: just that's again, it's part of his pathology. What I'm 644 00:35:26,200 --> 00:35:28,400 Speaker 4: really told about. These captains of the universe who are 645 00:35:28,440 --> 00:35:32,120 Speaker 4: all there, they just want to get through the Trump period. 646 00:35:32,239 --> 00:35:35,280 Speaker 4: I mean, they they're willing to kind of sit there thinking, 647 00:35:35,920 --> 00:35:38,160 Speaker 4: you know, why do I put my head over the parapet, 648 00:35:38,280 --> 00:35:41,160 Speaker 4: have my head shot off? My business damaged. I'm going 649 00:35:41,200 --> 00:35:43,160 Speaker 4: to wake this out. I'm going to try not to 650 00:35:43,440 --> 00:35:45,640 Speaker 4: upset him. I'll give him whatever money he needs for 651 00:35:45,680 --> 00:35:49,040 Speaker 4: his you know, for his whatever corrupt thing he's asking for, 652 00:35:49,480 --> 00:35:52,840 Speaker 4: and we'll get through this. I think that they're mistaken. 653 00:35:52,960 --> 00:35:56,359 Speaker 4: I think that every single time it happens, they enable him. 654 00:35:56,640 --> 00:35:59,520 Speaker 4: And this thing recently about the Board of Peace has 655 00:35:59,520 --> 00:36:02,760 Speaker 4: been particular, you know, disgusting in my view, the idea 656 00:36:02,800 --> 00:36:05,280 Speaker 4: that you know, Trump is supposed to be going to Davos. 657 00:36:05,280 --> 00:36:06,799 Speaker 4: That was one of the things to discuss like the 658 00:36:06,840 --> 00:36:09,000 Speaker 4: you know, the Board of Peace in Gaza. Well, you know, 659 00:36:09,040 --> 00:36:13,160 Speaker 4: he's offered a seat to Putin mass Butcher in Ukraine. 660 00:36:13,480 --> 00:36:15,480 Speaker 4: I think it was excellent that Macron, I think it 661 00:36:15,520 --> 00:36:17,400 Speaker 4: was today said you know, I don't want to be 662 00:36:17,440 --> 00:36:20,279 Speaker 4: on the Board of Peace, and I thought, that's exactly right. Now, 663 00:36:20,360 --> 00:36:23,200 Speaker 4: let's see everybody else say no. Then I was crushed 664 00:36:23,239 --> 00:36:25,520 Speaker 4: to see that Mark Carney had had agreed to be 665 00:36:25,520 --> 00:36:28,080 Speaker 4: on it, a canader of Canada. I think that's a 666 00:36:28,120 --> 00:36:29,840 Speaker 4: big mistake. I mean, who wants to be on a 667 00:36:29,840 --> 00:36:32,600 Speaker 4: board with Putin and Victor Auburn? And you know, I 668 00:36:32,640 --> 00:36:35,680 Speaker 4: think that the only thing for this is there has 669 00:36:35,719 --> 00:36:37,759 Speaker 4: to be strength in numbers. That is the only thing 670 00:36:37,760 --> 00:36:40,120 Speaker 4: that works. I mean, if every world leader said I 671 00:36:40,160 --> 00:36:42,040 Speaker 4: am not going to join your Board of Peace, his 672 00:36:42,760 --> 00:36:45,520 Speaker 4: barder piece becomes a sham, an absurdity, a ridiculous thing. 673 00:36:45,600 --> 00:36:47,399 Speaker 4: Let's have Kim John Ann on the board of Piece. 674 00:36:47,520 --> 00:36:50,200 Speaker 4: You know, it doesn't work. And I think the same 675 00:36:50,239 --> 00:36:51,719 Speaker 4: has been true of the media. I think that they 676 00:36:51,760 --> 00:36:55,800 Speaker 4: should stood together, not not you know, individually, making these 677 00:36:55,880 --> 00:37:01,800 Speaker 4: these humiliating settlements. Unless you know, people stand together against Trump, 678 00:37:02,120 --> 00:37:04,439 Speaker 4: there is no there is no fighting him off. And 679 00:37:04,480 --> 00:37:06,800 Speaker 4: we you know, he picks people off individually, as he 680 00:37:06,880 --> 00:37:08,600 Speaker 4: has you know with the Republicans. 681 00:37:09,040 --> 00:37:14,279 Speaker 1: Yeah. No, And I think I wanna I want to 682 00:37:14,520 --> 00:37:17,680 Speaker 1: mention that the Board of Peace, there's a billion dollar 683 00:37:17,960 --> 00:37:20,280 Speaker 1: entry fee right for the Board of Peace. 684 00:37:21,080 --> 00:37:23,759 Speaker 4: Yeah, I mean he he's treating it like some kind 685 00:37:23,760 --> 00:37:27,520 Speaker 4: of absurd, obscene sort of golden tier of golf club 686 00:37:27,560 --> 00:37:30,840 Speaker 4: members that you know, mar Lago. It's just another shakedown 687 00:37:31,000 --> 00:37:34,200 Speaker 4: like everything else, unless you know, there is an outcry 688 00:37:34,320 --> 00:37:38,360 Speaker 4: and a united outcry, this this stuff is going to continue. 689 00:37:38,719 --> 00:37:40,640 Speaker 4: Of course, one of the things one must always remember 690 00:37:40,680 --> 00:37:43,960 Speaker 4: in power, as it were in life, is that just 691 00:37:44,000 --> 00:37:46,359 Speaker 4: when your hubrits has said its maximum, that is when 692 00:37:46,400 --> 00:37:49,880 Speaker 4: you make the biggest mistakes and you fall clearly. You know, 693 00:37:49,920 --> 00:37:54,960 Speaker 4: Trump was so engaged by you know, the kinetic warfare 694 00:37:55,040 --> 00:37:57,279 Speaker 4: stuff he's been doing, you know, the kinetic raids that 695 00:37:57,360 --> 00:38:01,560 Speaker 4: you know, the bombing of ford Or which was widely acclaimed, 696 00:38:02,000 --> 00:38:06,640 Speaker 4: you know, the Venezuela, you know, snatching a Maduro. He 697 00:38:06,680 --> 00:38:10,160 Speaker 4: now thinks that he's invincible. Usually exactly at that moment 698 00:38:10,560 --> 00:38:13,759 Speaker 4: is when you make, you know, your biggest mistake. So 699 00:38:13,920 --> 00:38:16,600 Speaker 4: I mean he's making at the moment we see them 700 00:38:16,640 --> 00:38:18,920 Speaker 4: as biggest mistakes. He doesn't see them as mistakes. But 701 00:38:18,960 --> 00:38:23,920 Speaker 4: he's going to have some huge setback very soon that will, 702 00:38:24,719 --> 00:38:28,640 Speaker 4: you know, reverse. I think the entire rampage. 703 00:38:29,000 --> 00:38:31,719 Speaker 1: You know, it's funny because his public polling is as 704 00:38:31,800 --> 00:38:34,640 Speaker 1: bad as it's ever been, and people don't like the 705 00:38:34,840 --> 00:38:37,759 Speaker 1: ice stuff, and nobody trusts him. You know, he's back 706 00:38:37,800 --> 00:38:40,480 Speaker 1: to where he was at the worst moments of his 707 00:38:40,640 --> 00:38:44,399 Speaker 1: first term, probably a little bit lower. But I do 708 00:38:44,440 --> 00:38:47,200 Speaker 1: think you're right that to him, he doesn't see it 709 00:38:47,239 --> 00:38:51,160 Speaker 1: that way, and that is, in a way, almost the 710 00:38:51,280 --> 00:38:52,080 Speaker 1: scariest part. 711 00:38:52,400 --> 00:38:54,200 Speaker 4: He doesn't see it that way, but he has reason 712 00:38:54,280 --> 00:38:56,080 Speaker 4: not to see it that way. I mean, we've been 713 00:38:56,120 --> 00:38:58,600 Speaker 4: through these polls before, right, I mean we've always been 714 00:38:58,600 --> 00:39:00,960 Speaker 4: hearing about how people don't like this or don't like that. 715 00:39:01,000 --> 00:39:02,000 Speaker 1: I was quite fascinated. 716 00:39:02,040 --> 00:39:04,239 Speaker 4: There was rather a good CNN segment with John King 717 00:39:04,360 --> 00:39:08,080 Speaker 4: last night with him interviewing people who had voted for 718 00:39:08,120 --> 00:39:10,719 Speaker 4: Trump a year ago, what do they feel about him now? Yeah, 719 00:39:10,760 --> 00:39:13,279 Speaker 4: there was one woman who really doesn't like what's been 720 00:39:13,280 --> 00:39:15,520 Speaker 4: happening very much, but you know there was a lot 721 00:39:15,600 --> 00:39:18,239 Speaker 4: who you know, several who did who do like it, 722 00:39:18,280 --> 00:39:20,000 Speaker 4: and when we say everybody hates what he's doing. 723 00:39:20,200 --> 00:39:20,399 Speaker 3: Lies. 724 00:39:20,600 --> 00:39:22,480 Speaker 4: I don't think that's true that everyone hates it. I mean, 725 00:39:22,520 --> 00:39:24,320 Speaker 4: I think that there was a very interesting piece in 726 00:39:24,360 --> 00:39:26,719 Speaker 4: The Times actually over the weekend, which you know, went 727 00:39:26,719 --> 00:39:29,320 Speaker 4: into this bar and in you know, a more rural 728 00:39:29,640 --> 00:39:33,440 Speaker 4: area in Minnesota, and they were all basically seeing it 729 00:39:33,640 --> 00:39:36,920 Speaker 4: very differently from the towns. So you do again have 730 00:39:37,000 --> 00:39:40,839 Speaker 4: this real divide between what everybody quote thinks, you know, 731 00:39:41,040 --> 00:39:44,680 Speaker 4: in the urban setting versus what quote everybody thinks in 732 00:39:44,719 --> 00:39:46,680 Speaker 4: the rural settings, and they do not see it the 733 00:39:46,719 --> 00:39:47,160 Speaker 4: same way. 734 00:39:47,440 --> 00:39:50,719 Speaker 1: I do think that you can only live like that 735 00:39:50,760 --> 00:39:52,840 Speaker 1: for so long. And what I'm thinking about is this 736 00:39:53,040 --> 00:39:59,279 Speaker 1: reporting in the Times about this clean water project in 737 00:39:59,560 --> 00:40:03,960 Speaker 1: Karl where Donald Trump rejected the money they needed to 738 00:40:04,000 --> 00:40:08,200 Speaker 1: finish the pipeline and his voters are all being affected 739 00:40:08,200 --> 00:40:11,680 Speaker 1: by that, and they said something to the effect of, like, 740 00:40:11,800 --> 00:40:15,640 Speaker 1: we trust our guy, like he obviously, you know, like 741 00:40:15,880 --> 00:40:20,360 Speaker 1: the way people talk about God, right, that we trust 742 00:40:20,440 --> 00:40:24,200 Speaker 1: that he has what's best for us in store. But 743 00:40:24,520 --> 00:40:27,440 Speaker 1: don't people eventually lose faith? 744 00:40:28,560 --> 00:40:30,799 Speaker 4: Well, the question is when is eventually right? You know? 745 00:40:31,080 --> 00:40:34,000 Speaker 4: In this segment where they were interviewing Trump voters, there 746 00:40:34,040 --> 00:40:35,839 Speaker 4: was one of them who said, yes, I'm a Trump guy, 747 00:40:35,840 --> 00:40:37,640 Speaker 4: like he hasn't like everything that Trump had done, but 748 00:40:37,719 --> 00:40:40,400 Speaker 4: he said, I'm more worried about, you know, the Democrats 749 00:40:40,440 --> 00:40:42,560 Speaker 4: getting in and that we have to get Trump back 750 00:40:42,640 --> 00:40:45,120 Speaker 4: because you know, we have to keep Congress because otherwise 751 00:40:45,280 --> 00:40:47,279 Speaker 4: they might impeach himself. He has such a kind of 752 00:40:47,400 --> 00:40:51,320 Speaker 4: long rope for forgiveness, it seems from a lot of voters, 753 00:40:52,000 --> 00:40:54,680 Speaker 4: and I think that we underestimate that, you know, in 754 00:40:54,719 --> 00:40:58,640 Speaker 4: our kind of more urban outlook tremendously. So the question 755 00:40:58,760 --> 00:41:01,799 Speaker 4: what is eventually, I'm an eventually, you know, Maduro gets 756 00:41:01,840 --> 00:41:04,800 Speaker 4: captured and he's put in prison after you know, everything 757 00:41:04,800 --> 00:41:07,480 Speaker 4: that he did to his people in Venezuela. The question 758 00:41:07,640 --> 00:41:10,319 Speaker 4: is how long can Trump go on? I mean, will 759 00:41:10,360 --> 00:41:13,040 Speaker 4: he do anything to disrupt the midterms, for instance, because 760 00:41:13,080 --> 00:41:15,919 Speaker 4: at this point you can hardly imagine that Trump will 761 00:41:15,960 --> 00:41:20,160 Speaker 4: brook any restraint, and the prospect of giving having to 762 00:41:20,200 --> 00:41:24,160 Speaker 4: somehow give up that restraint, I kind of it's hard 763 00:41:24,160 --> 00:41:27,640 Speaker 4: at the moment to imagine that he will accept it. 764 00:41:28,080 --> 00:41:29,719 Speaker 4: And in which case, what is he going to do? 765 00:41:29,760 --> 00:41:32,120 Speaker 4: And will he disrupt those those midterms? And then of 766 00:41:32,160 --> 00:41:35,080 Speaker 4: course the biggest question is always you know, will he go? 767 00:41:35,480 --> 00:41:37,239 Speaker 4: And I think we're all now feeling, well, yes, he 768 00:41:37,360 --> 00:41:39,680 Speaker 4: is going to go. I actually think that for Trump, 769 00:41:40,200 --> 00:41:42,360 Speaker 4: the whole of his second term has been devoted to 770 00:41:42,520 --> 00:41:45,680 Speaker 4: enriching himself. I mean, I actually think he thought, in 771 00:41:45,760 --> 00:41:48,480 Speaker 4: my second term, I'm going to leverage the hell out 772 00:41:48,520 --> 00:41:51,240 Speaker 4: of this thing. I am going to fill my coffers. 773 00:41:51,320 --> 00:41:53,359 Speaker 4: My kids are going to fill their coffers. And it's 774 00:41:53,440 --> 00:41:56,200 Speaker 4: all about the big, big fat shape down And that's 775 00:41:56,280 --> 00:41:59,239 Speaker 4: actually the way he's been he's been working. So it's 776 00:41:59,280 --> 00:42:01,879 Speaker 4: possible that he would just feel, look, I've now got 777 00:42:02,040 --> 00:42:04,560 Speaker 4: x billion. You know, before i was a minnow of 778 00:42:04,600 --> 00:42:07,759 Speaker 4: a billionaire. Now I'm a massive billionaire. I've got what 779 00:42:07,840 --> 00:42:10,000 Speaker 4: I want. And then he'll continue to sort of leverage that, 780 00:42:10,120 --> 00:42:13,080 Speaker 4: you know, beyond the presidency. But it's hard to know. 781 00:42:13,160 --> 00:42:16,160 Speaker 4: I mean, he seems so kind of incredibly intoxicated and 782 00:42:16,239 --> 00:42:18,799 Speaker 4: drunk on power, isn't he at the moment? I mean, 783 00:42:18,840 --> 00:42:24,040 Speaker 4: he's he just is engaged with the power, and while 784 00:42:24,120 --> 00:42:26,879 Speaker 4: people continue to fall on their faces before him. I mean, 785 00:42:27,239 --> 00:42:29,040 Speaker 4: it's hard to see that he's going to give up 786 00:42:29,080 --> 00:42:30,120 Speaker 4: that buzz. 787 00:42:30,040 --> 00:42:34,279 Speaker 1: I want you to talk about CBS News because of 788 00:42:34,360 --> 00:42:36,560 Speaker 1: all the people. I know, I think of you as 789 00:42:36,719 --> 00:42:42,399 Speaker 1: one of the You've just seen it all so right, 790 00:42:42,520 --> 00:42:44,880 Speaker 1: and you've written about it, and you've talked about it, 791 00:42:44,880 --> 00:42:52,520 Speaker 1: and you've so David. But David Allison gets to take 792 00:42:52,560 --> 00:42:56,280 Speaker 1: over the Dad gives him CBS. He puts in Barry, 793 00:42:57,440 --> 00:43:01,040 Speaker 1: what is your take on what's happened right now there? 794 00:43:01,480 --> 00:43:04,640 Speaker 4: Well, the whole kind of Ellison trump a sort of 795 00:43:05,480 --> 00:43:09,560 Speaker 4: dynamic is revolting when it comes to the CBS News. 796 00:43:09,600 --> 00:43:12,120 Speaker 4: You know, David Ellison, you know, has installed sort of 797 00:43:12,120 --> 00:43:15,600 Speaker 4: Barry Weiss, you know, to run the editorial side of it. 798 00:43:16,239 --> 00:43:18,960 Speaker 4: I actually think that Barry is a really talented editor, 799 00:43:19,000 --> 00:43:20,960 Speaker 4: and I think, you know, I think Free Press is 800 00:43:21,000 --> 00:43:25,319 Speaker 4: an incredibly sort of vibrant news platform. Actually, I thought 801 00:43:25,320 --> 00:43:27,760 Speaker 4: she made a big of mistake going into CBS, because 802 00:43:27,880 --> 00:43:29,440 Speaker 4: it would have been better for her to be the 803 00:43:29,520 --> 00:43:32,000 Speaker 4: kind of Ellison guru on the outside than it is 804 00:43:32,040 --> 00:43:34,680 Speaker 4: for her to be in the actual sort of line 805 00:43:34,680 --> 00:43:38,279 Speaker 4: of fire of these editorial decisions. I think that the 806 00:43:38,320 --> 00:43:41,640 Speaker 4: project is ultimately doomed in the sense that I think, 807 00:43:41,800 --> 00:43:44,680 Speaker 4: you know, CBS has got is such a kind of 808 00:43:44,760 --> 00:43:50,200 Speaker 4: lumbering retro asset at this point that I don't see 809 00:43:50,239 --> 00:43:54,600 Speaker 4: how any amount of editorial vim can sort of somehow 810 00:43:54,640 --> 00:43:56,799 Speaker 4: turn this thing around at a point when you know 811 00:43:57,000 --> 00:44:01,360 Speaker 4: it's actually long past it's kind of moment of relevance 812 00:44:01,520 --> 00:44:03,920 Speaker 4: in the big picture of terms in the long term, 813 00:44:04,040 --> 00:44:06,719 Speaker 4: and obviously it's a very valuable and important asset at 814 00:44:06,719 --> 00:44:08,839 Speaker 4: the moment. But you know that we know that the trajectory, 815 00:44:08,960 --> 00:44:12,480 Speaker 4: you know, cannot be be one that in the end 816 00:44:12,480 --> 00:44:15,160 Speaker 4: certainly survives in anything like this current form. But I 817 00:44:15,200 --> 00:44:18,440 Speaker 4: think that the lessons don't understand news, don't respect news. 818 00:44:18,600 --> 00:44:21,160 Speaker 4: And this is what my major beef is with the 819 00:44:21,400 --> 00:44:26,719 Speaker 4: with these digital you know, Silicon Valley you know billionaires, 820 00:44:26,800 --> 00:44:30,239 Speaker 4: essentially is that they really their arrogance is so complete 821 00:44:30,800 --> 00:44:36,000 Speaker 4: they have absolutely no understanding or actually even respect whatever 822 00:44:36,200 --> 00:44:39,080 Speaker 4: for journalism none. They do not think it celts, they 823 00:44:39,080 --> 00:44:42,120 Speaker 4: don't think it matters. They think it's there to be plundered. 824 00:44:42,800 --> 00:44:45,239 Speaker 4: I think that they think it's there to be scraped, 825 00:44:45,360 --> 00:44:48,680 Speaker 4: you know, for their AI projects. They just don't seem 826 00:44:48,680 --> 00:44:54,239 Speaker 4: to have any moral understanding of what journalism brings to democracy, 827 00:44:54,320 --> 00:44:57,360 Speaker 4: how important it is, nor do they want that particularly. 828 00:44:57,560 --> 00:45:01,160 Speaker 4: I mean, journalists are a hindrance. Journalists investigate them. Journalists 829 00:45:01,160 --> 00:45:03,680 Speaker 4: are pain in the neck. They stop them getting their deals, 830 00:45:03,680 --> 00:45:07,520 Speaker 4: et cetera. So they don't like journalists either, and you know, 831 00:45:07,640 --> 00:45:11,160 Speaker 4: I find that a very alarming thing. It makes you think, well, okay, 832 00:45:11,239 --> 00:45:13,560 Speaker 4: so who should earn these media assets because it's again 833 00:45:13,560 --> 00:45:15,640 Speaker 4: it's a question of who can afford to have them, 834 00:45:16,000 --> 00:45:18,160 Speaker 4: so you know, I mean, these are the people right 835 00:45:18,239 --> 00:45:21,399 Speaker 4: now with the money, but they are absolutely unfit as 836 00:45:21,520 --> 00:45:25,400 Speaker 4: owners of you know, something as important as news platforms, 837 00:45:25,840 --> 00:45:26,600 Speaker 4: like news. 838 00:45:26,400 --> 00:45:30,120 Speaker 1: Is clearly in a crisis. And I mean I work 839 00:45:30,160 --> 00:45:33,880 Speaker 1: in this business and everything is just just shrinking and 840 00:45:33,920 --> 00:45:37,640 Speaker 1: drinking and treat It's like shocking. So we need reporting. 841 00:45:38,080 --> 00:45:40,880 Speaker 1: It's nice to have opinion writing. I do opinion writing, 842 00:45:40,880 --> 00:45:43,239 Speaker 1: but at the end of the day, the reporting is 843 00:45:43,280 --> 00:45:46,480 Speaker 1: the stuff that's going to hold power accountable. In my mind, 844 00:45:46,520 --> 00:45:49,840 Speaker 1: it feels like a failure to legislate, you know, a 845 00:45:49,920 --> 00:45:54,200 Speaker 1: failure to make the kind of tax incentives that make 846 00:45:54,280 --> 00:45:57,279 Speaker 1: this lucrative. Just like why you weren't having filming in 847 00:45:57,320 --> 00:46:00,600 Speaker 1: the United States and movies and television because they weren't 848 00:46:00,640 --> 00:46:03,560 Speaker 1: giving the tax breaks to make it worthwhile. I mean, 849 00:46:03,600 --> 00:46:05,200 Speaker 1: do you think that's what it is or do you 850 00:46:05,239 --> 00:46:08,759 Speaker 1: think it's a deeper something at the core of American 851 00:46:08,840 --> 00:46:09,760 Speaker 1: values right now. 852 00:46:10,000 --> 00:46:12,000 Speaker 4: No, I mean, I think it's exactly what you say, 853 00:46:12,160 --> 00:46:14,080 Speaker 4: a combination of things. I mean, I think in the 854 00:46:14,080 --> 00:46:18,200 Speaker 4: early two thousands, the enormous mistake that journalism made, media 855 00:46:18,280 --> 00:46:22,120 Speaker 4: made was to allow Zuckerberg and co. To basically come 856 00:46:22,160 --> 00:46:24,960 Speaker 4: in and steal the content free and say they just 857 00:46:24,960 --> 00:46:28,399 Speaker 4: took it. And unfortunately, you know, legacy media sat there 858 00:46:28,480 --> 00:46:31,719 Speaker 4: being all naive. They were utterly rolled. I mean they went, oh, 859 00:46:31,719 --> 00:46:33,680 Speaker 4: it's so exciting to have all this traffic et cetera, 860 00:46:33,800 --> 00:46:36,160 Speaker 4: cetera that said, well, look at all this this great uh, 861 00:46:36,320 --> 00:46:39,279 Speaker 4: these all these great eyeballs we've got looking at our stuff. Yes, 862 00:46:39,320 --> 00:46:42,279 Speaker 4: but you know it was them Silicon Valley that was 863 00:46:42,520 --> 00:46:45,960 Speaker 4: monetizing those eyeballs. And so you know, the business model 864 00:46:46,320 --> 00:46:50,560 Speaker 4: was essentially blown up in a giant heightst and then 865 00:46:50,880 --> 00:46:53,080 Speaker 4: as if it wasn't bad enough, like now sort of 866 00:46:53,120 --> 00:46:55,160 Speaker 4: twenty five years later with AI, they're going to do 867 00:46:55,239 --> 00:46:57,359 Speaker 4: it again, and the same when we're going they are 868 00:46:57,440 --> 00:47:00,560 Speaker 4: doing it again, they're doing it and the same too. 869 00:47:00,640 --> 00:47:02,359 Speaker 4: So they're saying, Okay, now we're going to scrape all 870 00:47:02,400 --> 00:47:06,080 Speaker 4: your content. You know, copyright is really like we're in 871 00:47:06,120 --> 00:47:08,680 Speaker 4: a race with China, so you know, there is no 872 00:47:08,760 --> 00:47:10,880 Speaker 4: time for this kind of you know, these kind of 873 00:47:11,360 --> 00:47:14,600 Speaker 4: discussions about like who's whose it is if you don't 874 00:47:14,640 --> 00:47:16,640 Speaker 4: say yes, I know, we we'll pay you something, but 875 00:47:16,680 --> 00:47:19,120 Speaker 4: it won't. I mean, you know, even a couple of 876 00:47:19,160 --> 00:47:22,520 Speaker 4: hundred million dollars for you know, for scraping a major 877 00:47:22,560 --> 00:47:25,440 Speaker 4: you know news outlets, content is peanuts for them. You know, 878 00:47:25,560 --> 00:47:27,880 Speaker 4: absolute peanuts is peanuts for the news outlet when you 879 00:47:27,880 --> 00:47:29,960 Speaker 4: consider all the brain power that's going to be sucked 880 00:47:30,000 --> 00:47:33,440 Speaker 4: into these AI tools. So you know, they're once again 881 00:47:33,880 --> 00:47:39,080 Speaker 4: going to essentially rape the media business. And you know, 882 00:47:39,400 --> 00:47:41,640 Speaker 4: the media business does this sort of the news business 883 00:47:41,640 --> 00:47:45,319 Speaker 4: does is sit there kind of knowing trying to fight 884 00:47:45,400 --> 00:47:47,399 Speaker 4: back with what what tools do they have? I mean, 885 00:47:48,160 --> 00:47:51,960 Speaker 4: thank god we have some strong, you know, serious outlets 886 00:47:52,000 --> 00:47:55,000 Speaker 4: that have them wealth to, you know, to do the 887 00:47:55,040 --> 00:47:57,759 Speaker 4: great work, whether it's The New York Times or Reuter's 888 00:47:57,760 --> 00:48:01,720 Speaker 4: which does amazing investigations actually and is often not talked 889 00:48:01,719 --> 00:48:04,200 Speaker 4: about enough, I think because you know, the Reuters actually 890 00:48:04,239 --> 00:48:07,120 Speaker 4: does thanks to David Thompson, who you know, who is 891 00:48:07,160 --> 00:48:09,040 Speaker 4: the chairman of Ruters and whose company it is, he 892 00:48:09,080 --> 00:48:12,360 Speaker 4: actually believes in journalism. He's one of these quap brillionaires 893 00:48:12,360 --> 00:48:15,680 Speaker 4: who who simply, you know, actually does believe in and 894 00:48:15,719 --> 00:48:17,400 Speaker 4: the moral point of journalism. 895 00:48:17,880 --> 00:48:19,320 Speaker 1: But they're very, very few. 896 00:48:19,080 --> 00:48:22,600 Speaker 4: And far between, and so it is, it is an 897 00:48:22,719 --> 00:48:24,600 Speaker 4: enormous crisis. And yet at the end of the day, 898 00:48:24,600 --> 00:48:27,880 Speaker 4: it's like, what is encouraging perhaps is that some of 899 00:48:27,880 --> 00:48:30,680 Speaker 4: the biggest stories in the last you know, some of 900 00:48:30,680 --> 00:48:33,120 Speaker 4: the most newsmaking stories in the last few months have 901 00:48:33,160 --> 00:48:37,719 Speaker 4: actually come out of those maligned legacy media outlets. I mean, 902 00:48:37,760 --> 00:48:40,600 Speaker 4: whether it's you know, Vanity Affairs suddenly having a comeback 903 00:48:40,640 --> 00:48:43,080 Speaker 4: with their great you know, Susie Wilds piece, or whether 904 00:48:43,120 --> 00:48:45,799 Speaker 4: it's Emma Tucker, who is doing the most amazing work 905 00:48:45,840 --> 00:48:48,360 Speaker 4: I think at the Wall Street Journal, you know, publishing 906 00:48:48,360 --> 00:48:51,440 Speaker 4: the Epstein birth day book, or you know, they're actually 907 00:48:51,880 --> 00:48:56,600 Speaker 4: doing great stuff. Is the truth, and you know, it's 908 00:48:56,800 --> 00:49:00,640 Speaker 4: very irritating to the you know, the the powers who 909 00:49:00,680 --> 00:49:03,000 Speaker 4: don't want them to report. But we have a lot 910 00:49:03,080 --> 00:49:05,759 Speaker 4: of very brave journalists around and some good and some 911 00:49:06,000 --> 00:49:09,200 Speaker 4: very good editors around, so you know, I do think 912 00:49:09,200 --> 00:49:13,080 Speaker 4: there is a way to keep on being relevant. But 913 00:49:13,200 --> 00:49:17,000 Speaker 4: it's it just shouldn't be this hard, and nor should 914 00:49:17,040 --> 00:49:21,759 Speaker 4: journalists be so financially sort of punished. I mean, it 915 00:49:21,800 --> 00:49:25,360 Speaker 4: blows my mind. You know that incredible talents are willing 916 00:49:25,440 --> 00:49:28,960 Speaker 4: to work, to work for so little. Frankly, and I've 917 00:49:28,960 --> 00:49:31,960 Speaker 4: got to say I am my journalists hugely. You know, 918 00:49:32,080 --> 00:49:35,279 Speaker 4: who are willing to sort of you know, they're not 919 00:49:35,320 --> 00:49:39,279 Speaker 4: well paid. It's it's it's very very hard trying to 920 00:49:39,360 --> 00:49:42,759 Speaker 4: kind of dig out information, you know, with booth strapping, 921 00:49:43,400 --> 00:49:47,359 Speaker 4: you know, you know, door knocking, you know, the old 922 00:49:47,400 --> 00:49:51,239 Speaker 4: fashioned inquiry. It's really really hard. But we need them. 923 00:49:51,280 --> 00:49:54,640 Speaker 4: They're the soldiers of democracy, you know, who who stop 924 00:49:54,760 --> 00:49:56,959 Speaker 4: the monsters from taking over. 925 00:49:57,360 --> 00:49:59,480 Speaker 1: Tina, thank you so much for coming on. 926 00:50:01,360 --> 00:50:02,920 Speaker 3: A moment. 927 00:50:04,719 --> 00:50:08,359 Speaker 2: Jesse Cannon in the news segment, we were talking about 928 00:50:08,400 --> 00:50:12,040 Speaker 2: a little insider trading, and as we know, the greatest 929 00:50:12,080 --> 00:50:15,560 Speaker 2: insider trading racket of all time is Congress. And here 930 00:50:15,600 --> 00:50:18,000 Speaker 2: we have Senator Mark Wayne Mullen, who serves on the 931 00:50:18,040 --> 00:50:21,280 Speaker 2: Senate Armed Services Committee. He bought oil and defense stocks 932 00:50:21,360 --> 00:50:24,120 Speaker 2: days before we went and grabbed Maduroll. 933 00:50:24,400 --> 00:50:30,080 Speaker 1: Yes, Senator Mark Waynteon Mullen, the Cherokee member of the Senate. 934 00:50:30,320 --> 00:50:33,080 Speaker 1: That is the only good thing about him. He's an 935 00:50:33,080 --> 00:50:37,200 Speaker 1: Oklahoma Republican, and he bought between fifteen thousand and fifty 936 00:50:37,280 --> 00:50:41,040 Speaker 1: thousand dollars worth of shares in each company on December 937 00:50:41,120 --> 00:50:44,400 Speaker 1: twenty ninth, less than a week before the US authorities 938 00:50:44,520 --> 00:50:50,000 Speaker 1: captured Maduro on January third. Probably just a coincidence, even 939 00:50:50,040 --> 00:50:53,279 Speaker 1: though he is on the Senate Armed Services Committee and 940 00:50:53,400 --> 00:50:56,799 Speaker 1: he is a Republican to things that make me think 941 00:50:56,840 --> 00:51:01,279 Speaker 1: he perhaps got a heads up from the administration that 942 00:51:01,480 --> 00:51:05,439 Speaker 1: largely only does such a thing. I mean, you'd want 943 00:51:05,480 --> 00:51:07,840 Speaker 1: to give him the benefit of the doubt, right, because 944 00:51:07,880 --> 00:51:10,920 Speaker 1: why wouldn't you, But it certainly seems skeedgy. And you 945 00:51:10,960 --> 00:51:13,360 Speaker 1: know the stupidest part of this whole thing is you 946 00:51:13,360 --> 00:51:15,760 Speaker 1: wouldn't have to give him a benefit of the doubt 947 00:51:15,840 --> 00:51:20,480 Speaker 1: if we just did not allow our members of Congress 948 00:51:20,600 --> 00:51:24,440 Speaker 1: to do insider trading. You know, they shouldn't be trading stocks. 949 00:51:24,760 --> 00:51:28,799 Speaker 1: This is really easy. This should not be a major thing. 950 00:51:29,040 --> 00:51:34,120 Speaker 1: We should just do this. This is so incredibly easy 951 00:51:34,640 --> 00:51:37,120 Speaker 1: and very annoying that we're here. 952 00:51:37,480 --> 00:51:41,160 Speaker 2: Yeah, we have a great stockband bill that could be 953 00:51:41,200 --> 00:51:43,279 Speaker 2: passed in Congress, and then we have a terrible one 954 00:51:43,320 --> 00:51:44,880 Speaker 2: from the Republicans with no teeth. 955 00:51:45,040 --> 00:51:49,640 Speaker 1: Of course, that's it. For this episode of Fast Politics. 956 00:51:50,120 --> 00:51:55,839 Speaker 1: Tune in every Monday, Wednesday, Thursday and Saturday to hear 957 00:51:56,120 --> 00:52:00,400 Speaker 1: the best minds and politics make sense of all this case. Yes, 958 00:52:00,760 --> 00:52:03,600 Speaker 1: if you enjoy this podcast, please send it to a 959 00:52:03,680 --> 00:52:07,640 Speaker 1: friend and keep the conversation going. Thanks for listening.