1 00:00:00,640 --> 00:00:04,160 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,360 --> 00:00:07,120 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:11,600 Speaker 1: today's best minds, and a Democrat won the special election 4 00:00:11,840 --> 00:00:16,280 Speaker 1: to fill the seat of assassinated Minnesota lawmaker Melissa Hortman. 5 00:00:16,600 --> 00:00:18,799 Speaker 1: We have such a great show for you today in 6 00:00:18,840 --> 00:00:22,680 Speaker 1: the Nation's gene here stops by to talk about Cash 7 00:00:22,680 --> 00:00:27,240 Speaker 1: Betel's jaw dropping congressional hearing. Then we'll talk to the 8 00:00:27,280 --> 00:00:31,960 Speaker 1: Financial Times editor Ed Loose about how Trump's immigration war 9 00:00:32,080 --> 00:00:34,120 Speaker 1: is hurting our economy. But first the news. 10 00:00:35,400 --> 00:00:39,200 Speaker 2: We got a hotbed of RFK fuckery in our first 11 00:00:39,200 --> 00:00:43,240 Speaker 2: segment today. First off, shout out to doctor Susan Monarez 12 00:00:43,560 --> 00:00:47,120 Speaker 2: for being so good in this testimony, and really shout 13 00:00:47,120 --> 00:00:49,680 Speaker 2: out to her for being a great American, being brave 14 00:00:49,880 --> 00:00:51,880 Speaker 2: and saying what she needed to say in this hearing. 15 00:00:52,320 --> 00:00:57,200 Speaker 1: Yeah, look, that was really a great hearing. She gave 16 00:00:57,240 --> 00:01:01,040 Speaker 1: a great speech. She talked about in integrity and again 17 00:01:01,080 --> 00:01:03,920 Speaker 1: like this is this question of here are all of 18 00:01:03,960 --> 00:01:08,480 Speaker 1: these billionaires, all of these captains of industry, lawyers, fancy 19 00:01:08,560 --> 00:01:12,000 Speaker 1: people caving and then you have just she's just a 20 00:01:12,080 --> 00:01:15,759 Speaker 1: doctor and she says what I think should be our 21 00:01:15,840 --> 00:01:19,440 Speaker 1: watchword for this moment in American life. She says, I 22 00:01:19,560 --> 00:01:23,039 Speaker 1: would have gone along was what RFK wanted, but then 23 00:01:23,160 --> 00:01:26,320 Speaker 1: I would have given up my integrity. And the only 24 00:01:26,360 --> 00:01:28,560 Speaker 1: reason that I'm doing any of this is because of 25 00:01:28,600 --> 00:01:32,760 Speaker 1: my integrity. It's worth listening. And you know, we had 26 00:01:33,120 --> 00:01:37,040 Speaker 1: Senator John Cassidy. He is the reason we are in 27 00:01:37,040 --> 00:01:39,080 Speaker 1: this nightmare. So I don't have a lot of pity 28 00:01:39,120 --> 00:01:42,080 Speaker 1: for him, but he's understood what he's done. And look, 29 00:01:42,200 --> 00:01:45,440 Speaker 1: Democrats were worried that Susan Manair's would not be able 30 00:01:45,480 --> 00:01:48,480 Speaker 1: to stand up to RFK, and she did. She stood 31 00:01:48,520 --> 00:01:50,920 Speaker 1: up to arf Kay. She stood way up to arf 32 00:01:51,000 --> 00:01:53,800 Speaker 1: Kay and Nat I think is really a testament to 33 00:01:53,880 --> 00:01:57,720 Speaker 1: doctor Minera's and if nothing else, like she is a 34 00:01:57,760 --> 00:02:01,480 Speaker 1: brave woman that we should all kind of being off of. 35 00:02:02,120 --> 00:02:04,600 Speaker 2: I will go out of the lim and say when 36 00:02:04,760 --> 00:02:07,200 Speaker 2: history is written of this time, what they'll talk about 37 00:02:07,240 --> 00:02:10,560 Speaker 2: is some of the details of how she described the 38 00:02:10,600 --> 00:02:14,040 Speaker 2: fealty he wanted and how she would not push back 39 00:02:14,080 --> 00:02:16,680 Speaker 2: on it. That will be a detail that we will 40 00:02:16,720 --> 00:02:19,320 Speaker 2: see over and over again in these hearings as this 41 00:02:19,400 --> 00:02:22,280 Speaker 2: administration tries to make everyone bow to them. 42 00:02:22,440 --> 00:02:26,240 Speaker 1: Yeah, this moment we're in will not last forever. Yeah, 43 00:02:26,280 --> 00:02:28,280 Speaker 1: and we will look back on this, and we will 44 00:02:28,320 --> 00:02:30,400 Speaker 1: look back at the people who caved and the people 45 00:02:30,440 --> 00:02:33,160 Speaker 1: who spoke truth to power. There were a lot of 46 00:02:33,200 --> 00:02:35,480 Speaker 1: moments in that hearing it's really worth going back to 47 00:02:35,600 --> 00:02:38,800 Speaker 1: because during that hearing we also saw urf Case had 48 00:02:38,840 --> 00:02:41,320 Speaker 1: a lot of really unhinged stuff to her. He said 49 00:02:41,360 --> 00:02:45,359 Speaker 1: that the CDC vaccine recommendations are based on science. That's 50 00:02:45,400 --> 00:02:48,000 Speaker 1: not true. He just said a lot of things. He 51 00:02:48,040 --> 00:02:52,000 Speaker 1: said the CDC is killing children. Not true. By the way, 52 00:02:52,280 --> 00:02:56,640 Speaker 1: measles has killed two children. He really is probably the 53 00:02:56,680 --> 00:03:00,760 Speaker 1: most dangerous member of Trump's cabinet. And again, vaccines are 54 00:03:00,800 --> 00:03:04,480 Speaker 1: an eighty twenty issue. They are an eighty twenty issue. 55 00:03:04,639 --> 00:03:09,360 Speaker 1: Trump maybe has decided that he thinks that RFK is 56 00:03:09,400 --> 00:03:14,200 Speaker 1: good for him, but I think it's really worth realizing 57 00:03:14,320 --> 00:03:18,160 Speaker 1: that RFK could really be the one of the many 58 00:03:18,400 --> 00:03:20,440 Speaker 1: things that unravels this administration. 59 00:03:20,919 --> 00:03:24,840 Speaker 2: Yeah, and now he wants to end mental health screetings 60 00:03:24,840 --> 00:03:27,400 Speaker 2: in schools, which you know, in a mental health crisis, 61 00:03:27,440 --> 00:03:32,080 Speaker 2: where all everybody talks about all day is how our children, us, 62 00:03:32,800 --> 00:03:36,600 Speaker 2: every person of any status is not doing the best 63 00:03:36,600 --> 00:03:38,760 Speaker 2: with mental health. This seems like one of the dumber 64 00:03:38,800 --> 00:03:40,520 Speaker 2: ideas coming out of this administration. 65 00:03:40,880 --> 00:03:44,360 Speaker 1: I mean, it's so hard to pick this one dumb 66 00:03:44,400 --> 00:03:46,640 Speaker 1: idea to come out of this administry. I don't know 67 00:03:46,640 --> 00:03:49,400 Speaker 1: if you have if you are familiar with how this 68 00:03:49,520 --> 00:03:52,680 Speaker 1: administration works, but there are quite a few dumb ideas 69 00:03:52,680 --> 00:03:53,600 Speaker 1: that this crew has. 70 00:03:54,080 --> 00:03:56,600 Speaker 2: I wouldn't want to be the person wriking a top 71 00:03:56,640 --> 00:03:59,160 Speaker 2: ten like David Letterban used to do of the top. 72 00:03:58,960 --> 00:03:59,800 Speaker 3: Ten dumbest things. 73 00:04:00,440 --> 00:04:03,080 Speaker 1: And the other thing I think it's worth realizing about 74 00:04:03,080 --> 00:04:06,200 Speaker 1: Mineras is that doing these here and she and John 75 00:04:06,280 --> 00:04:10,000 Speaker 1: Cassidy are doing these hearings right now because this week 76 00:04:10,160 --> 00:04:13,640 Speaker 1: the group that RFK Junior has put together to make 77 00:04:13,760 --> 00:04:19,080 Speaker 1: these new vaccine suggestions are going to make some pretty 78 00:04:19,160 --> 00:04:24,120 Speaker 1: I think, probably pretty insane guidance for childhood vaccination, just 79 00:04:24,160 --> 00:04:27,360 Speaker 1: like they did in Florida. So I think that what 80 00:04:27,400 --> 00:04:29,840 Speaker 1: we're going to see, and we're already seeing it, is 81 00:04:30,400 --> 00:04:33,160 Speaker 1: a lot of states blue states are getting together and 82 00:04:33,240 --> 00:04:34,880 Speaker 1: having their own health groups. 83 00:04:35,160 --> 00:04:35,640 Speaker 4: We see it. 84 00:04:35,640 --> 00:04:39,200 Speaker 1: We're seeing insurance companies saying that they will cover these vaccines. 85 00:04:39,440 --> 00:04:42,240 Speaker 1: These are not hugely expensive vaccines, but they're going to 86 00:04:42,279 --> 00:04:46,320 Speaker 1: cover them even if the recommendations are changed. Which it 87 00:04:46,320 --> 00:04:49,039 Speaker 1: looks like they will be. What's happening here is we're 88 00:04:49,120 --> 00:04:53,119 Speaker 1: seeing a kind of soft secession, right. We're seeing blue 89 00:04:53,120 --> 00:04:56,359 Speaker 1: states say like, we can't trust the health data we 90 00:04:56,440 --> 00:04:58,440 Speaker 1: are getting from the federal government, so we're not going 91 00:04:58,480 --> 00:05:01,599 Speaker 1: to use it anymore. There becomes a question of like 92 00:05:01,880 --> 00:05:05,760 Speaker 1: large percentage of our tax dollars go to fund what 93 00:05:05,920 --> 00:05:10,359 Speaker 1: is now like rfk's kind of personal fife job. And 94 00:05:10,400 --> 00:05:12,919 Speaker 1: there's a real question about when you go down the 95 00:05:13,000 --> 00:05:15,479 Speaker 1: road of this, where does this end? And I do 96 00:05:15,600 --> 00:05:16,919 Speaker 1: wonder about that, SAMAI. 97 00:05:17,120 --> 00:05:20,000 Speaker 2: The Fed cuts rates zero point two five points, and, 98 00:05:20,560 --> 00:05:22,839 Speaker 2: reacting to the weak job numbers, tear. 99 00:05:22,760 --> 00:05:25,800 Speaker 1: Ups have successfully weaken the economy to the point where 100 00:05:25,800 --> 00:05:29,360 Speaker 1: the Fed is dropping interest rates. Trump wanted the Fed 101 00:05:29,400 --> 00:05:32,239 Speaker 1: to drop interest rates because he thought it would turbo 102 00:05:32,360 --> 00:05:36,039 Speaker 1: charge the public markets. What they're doing is dropping interest 103 00:05:36,120 --> 00:05:41,279 Speaker 1: rates because they have to. Again, that works until it doesn't, right, 104 00:05:41,560 --> 00:05:44,520 Speaker 1: and you still have inflation as a real thing. So 105 00:05:44,760 --> 00:05:46,800 Speaker 1: in the eight months that Donald Trump has been president, 106 00:05:46,839 --> 00:05:50,400 Speaker 1: we have gone from a economy that was the envy 107 00:05:50,400 --> 00:05:54,159 Speaker 1: of the world, a soft landing, to an economy that 108 00:05:54,279 --> 00:05:59,599 Speaker 1: is dabbed by both rising inflation weaker job numbers. And 109 00:06:00,240 --> 00:06:02,200 Speaker 1: labor market. So here we are. 110 00:06:02,480 --> 00:06:06,080 Speaker 2: So there's a bunch of handwringing on the different sides 111 00:06:06,120 --> 00:06:11,159 Speaker 2: about Luigi Mangioni getting his terrorism charges thrown out, which 112 00:06:11,320 --> 00:06:14,120 Speaker 2: I think is an interesting ruling by Justice Gregory Carroll. 113 00:06:14,160 --> 00:06:15,000 Speaker 2: What do you think, Mollie. 114 00:06:15,200 --> 00:06:18,320 Speaker 1: Look, there's a lot of wanting to kind of make 115 00:06:18,440 --> 00:06:23,240 Speaker 1: everything something, but my sense is that this is not 116 00:06:23,560 --> 00:06:27,080 Speaker 1: a terrorism issue. This is a guy who targeted an 117 00:06:27,120 --> 00:06:36,120 Speaker 1: executive because he was unhappy with his healthcare git here 118 00:06:36,200 --> 00:06:38,280 Speaker 1: is a contributor to the nation and the host of 119 00:06:38,600 --> 00:06:39,960 Speaker 1: the time of Monsters. 120 00:06:40,320 --> 00:06:40,960 Speaker 2: Jen here. 121 00:06:41,640 --> 00:06:43,880 Speaker 1: Welcome to Fast Politics. 122 00:06:43,360 --> 00:06:47,080 Speaker 5: Sali Young Fast thanks for welcoming to Fast Politics. 123 00:06:46,560 --> 00:06:49,880 Speaker 1: And from your perch in Canada, the fifty first state. 124 00:06:50,080 --> 00:06:53,120 Speaker 1: It turns out that by calling Canada the fifty first state, 125 00:06:53,200 --> 00:06:56,800 Speaker 1: he has enraged almost everyone in Canada and not so 126 00:06:56,880 --> 00:06:57,520 Speaker 1: easy to do. 127 00:06:57,960 --> 00:07:04,880 Speaker 5: Yeah, no, absolutely, getting Canadians bad is difficult, but he 128 00:07:05,040 --> 00:07:08,880 Speaker 5: has a tie, great feet. I think even more remarkable 129 00:07:08,960 --> 00:07:11,880 Speaker 5: actually is he got the Danes mad, which is even harder. 130 00:07:11,880 --> 00:07:13,720 Speaker 3: I mean, those guys are like frozen icycles. 131 00:07:15,640 --> 00:07:19,040 Speaker 1: But we but I digress. Let's talk. So we are 132 00:07:19,080 --> 00:07:22,680 Speaker 1: in the middle of these hearings about these cash Battel 133 00:07:22,760 --> 00:07:26,000 Speaker 1: hearings and Cash. Battal is the head of the FBI 134 00:07:26,280 --> 00:07:30,680 Speaker 1: for now. He is a complicated fellow who lives in 135 00:07:30,840 --> 00:07:35,400 Speaker 1: Las Vegas, which already is interesting because the FBI is 136 00:07:36,600 --> 00:07:40,960 Speaker 1: in lack Lay, Virginia, so that already is perhaps a question. 137 00:07:41,480 --> 00:07:41,600 Speaker 4: Uh. 138 00:07:41,960 --> 00:07:44,679 Speaker 1: And then he's tasked with basically the two biggest stories 139 00:07:44,680 --> 00:07:49,320 Speaker 1: of the news cycle, Epstein and the political assassination of 140 00:07:49,400 --> 00:07:52,560 Speaker 1: Charlie Kirk. They're basically all anyone's talking about, right at 141 00:07:52,640 --> 00:07:56,480 Speaker 1: least when it comes to law enforcement. And he has 142 00:07:57,240 --> 00:08:02,560 Speaker 1: watched both in incredible way that only the Trump administration 143 00:08:02,760 --> 00:08:03,880 Speaker 1: can discuss. 144 00:08:04,200 --> 00:08:09,760 Speaker 5: Yeah, no, I I mean the Epstein stuff. We saw 145 00:08:09,840 --> 00:08:12,680 Speaker 5: some of this at the sort of like the hearings yesterday. 146 00:08:12,880 --> 00:08:15,120 Speaker 5: This guy like does not know what's going on. 147 00:08:15,160 --> 00:08:15,320 Speaker 4: Now. 148 00:08:15,520 --> 00:08:18,440 Speaker 5: I have to say I have like a particular thing 149 00:08:18,480 --> 00:08:22,200 Speaker 5: with Castel, which is that he's a fellow South Asian male, 150 00:08:22,600 --> 00:08:23,200 Speaker 5: He's a brother. 151 00:08:23,560 --> 00:08:23,720 Speaker 1: You know. 152 00:08:23,800 --> 00:08:26,680 Speaker 5: I think there's an expression that we have in Punjabi 153 00:08:26,920 --> 00:08:31,320 Speaker 5: called shanda for the gam that is to say, if it's. 154 00:08:31,160 --> 00:08:33,960 Speaker 1: Pretty sure that's ours and not yours, but yes, go on, 155 00:08:35,600 --> 00:08:36,240 Speaker 1: I won't I. 156 00:08:36,160 --> 00:08:38,000 Speaker 3: Won't fight over a copyright here, but. 157 00:08:39,840 --> 00:08:42,400 Speaker 5: Which is to say that if you see like you know, 158 00:08:42,679 --> 00:08:45,760 Speaker 5: the South Asian you're doing well, you know, winning a 159 00:08:45,800 --> 00:08:52,920 Speaker 5: Pulitzer Prize, do you feel proud? And yeah, if it's 160 00:08:52,920 --> 00:08:55,120 Speaker 5: someone like you know, Denise de Susa going to jail 161 00:08:55,679 --> 00:08:59,560 Speaker 5: or Castrattel doing all the clownish stuff that he's been doing, 162 00:09:00,040 --> 00:09:02,920 Speaker 5: it fills it with a particular type of it's hard 163 00:09:02,920 --> 00:09:05,760 Speaker 5: to explain, like he's like you feel like, you know, 164 00:09:06,000 --> 00:09:09,640 Speaker 5: bad personally yourself, like he has brought shame onto your community. 165 00:09:10,080 --> 00:09:10,680 Speaker 3: Uh so. 166 00:09:10,559 --> 00:09:13,440 Speaker 5: So so this is like a very personal thing for me. 167 00:09:13,640 --> 00:09:16,920 Speaker 5: And it is partially because you know, this guy, uh 168 00:09:17,040 --> 00:09:19,760 Speaker 5: his only qualification for being head of the FBI, I 169 00:09:19,960 --> 00:09:23,440 Speaker 5: was writing a children's book praising Tunneald Trump as a king. 170 00:09:23,640 --> 00:09:26,320 Speaker 5: So yeah, we were the Epstein hearings. You know, like 171 00:09:26,400 --> 00:09:29,160 Speaker 5: you know, very sort of forceful questions that they busted 172 00:09:29,200 --> 00:09:31,840 Speaker 5: all along terms of you know, like saying what files, 173 00:09:31,920 --> 00:09:37,400 Speaker 5: offering explanations they can't explain, like very simple questions, and 174 00:09:37,440 --> 00:09:40,120 Speaker 5: he just sort of like blusters and starts yelling and 175 00:09:40,160 --> 00:09:42,040 Speaker 5: he has this kind of weird bud eyed thing, which 176 00:09:42,120 --> 00:09:44,880 Speaker 5: I also, I mean we were talking about like you know, 177 00:09:44,920 --> 00:09:46,079 Speaker 5: sort of shame and cringe. 178 00:09:46,480 --> 00:09:48,319 Speaker 3: Is it just it does not look good, brother. 179 00:09:48,240 --> 00:09:51,600 Speaker 1: But look, let's work on the little public appearance stuff. 180 00:09:51,840 --> 00:09:56,280 Speaker 1: So the questioning yesterday I thought was important for a 181 00:09:56,320 --> 00:09:59,840 Speaker 1: number of reasons. Democrats have this has been we are 182 00:09:59,840 --> 00:10:03,200 Speaker 1: a party in the wilderness right there is you know, 183 00:10:03,840 --> 00:10:06,920 Speaker 1: it has not been a great couple months for Democrats. 184 00:10:06,960 --> 00:10:10,680 Speaker 1: So I was really heartened by some of the questioning. 185 00:10:10,840 --> 00:10:15,439 Speaker 1: There was questioning that was like bombastic but broke through 186 00:10:15,960 --> 00:10:20,400 Speaker 1: like I'm thinking of Corey Buoker. But then I actually 187 00:10:20,440 --> 00:10:24,000 Speaker 1: think the more effective questioning was the less dramatic questioning 188 00:10:24,120 --> 00:10:28,280 Speaker 1: that just drew him out. So the freshman senator from 189 00:10:28,360 --> 00:10:31,960 Speaker 1: Vermont is a guy, Peter Welch. He was a folk musician, 190 00:10:32,080 --> 00:10:37,320 Speaker 1: as many senators are. And he gets Cash Bettel going 191 00:10:37,440 --> 00:10:40,760 Speaker 1: on the FBI private jet, and he gets him talking 192 00:10:40,840 --> 00:10:43,880 Speaker 1: about how he went to all these sporting events with 193 00:10:44,000 --> 00:10:49,000 Speaker 1: Mel Gibson. So he says, you know, mister Patel, I 194 00:10:49,040 --> 00:10:52,679 Speaker 1: see you took the private jet from Virginia to and 195 00:10:52,720 --> 00:10:55,480 Speaker 1: he says, I fly out of Andrews and not out 196 00:10:55,480 --> 00:10:58,840 Speaker 1: of Reagan, which saves the tax bears money. So clearly 197 00:10:59,040 --> 00:11:01,720 Speaker 1: already you see see the guy knows this is not 198 00:11:01,800 --> 00:11:04,200 Speaker 1: a great look. And then he says, well, you know, 199 00:11:04,240 --> 00:11:08,400 Speaker 1: you flew to Las Vegas to do this fight with 200 00:11:08,920 --> 00:11:12,240 Speaker 1: mel Gibson. And he says, well, I live in Las Vegas, okay. 201 00:11:12,440 --> 00:11:14,960 Speaker 1: And he goes, well, you flew to Miami, you flew 202 00:11:15,000 --> 00:11:17,800 Speaker 1: to like and he goes through New York and and 203 00:11:17,880 --> 00:11:20,000 Speaker 1: you know, and and it gets to I think the 204 00:11:20,200 --> 00:11:23,160 Speaker 1: gestault of it, which is that on the day that 205 00:11:23,880 --> 00:11:28,040 Speaker 1: they were trying to find the killer of Charlie Kirk, 206 00:11:28,640 --> 00:11:32,240 Speaker 1: he was at Rio's with Bo Didle in New York. 207 00:11:34,000 --> 00:11:37,200 Speaker 5: You know, I mean, this is uh that there is 208 00:11:37,200 --> 00:11:39,520 Speaker 5: something like kind of amazing that this guy's ahead of 209 00:11:39,520 --> 00:11:42,160 Speaker 5: the FBI, and he's kind of treating that as like, 210 00:11:42,320 --> 00:11:45,400 Speaker 5: you know, of the Behine Hustle podcast that he goes 211 00:11:45,440 --> 00:11:47,920 Speaker 5: into like an iridy or whatever, we only act less 212 00:11:47,960 --> 00:11:51,439 Speaker 5: serious than a podcast, just like a remarkable kind of thing. 213 00:11:51,480 --> 00:11:55,120 Speaker 5: I also think, like in terms of his kind of reresponsibility, 214 00:11:55,440 --> 00:11:57,280 Speaker 5: I mean, I thought one thing that really struck out 215 00:11:57,760 --> 00:12:03,360 Speaker 5: was that been all sorts of stuff circulating on the 216 00:12:03,480 --> 00:12:08,400 Speaker 5: right trying to link the trans roommate with the alleged 217 00:12:08,480 --> 00:12:11,880 Speaker 5: killer of Charlie Kirk, and I saw cash for tail, 218 00:12:11,960 --> 00:12:15,600 Speaker 5: like actually tweeting out one of these reports which is 219 00:12:15,600 --> 00:12:18,120 Speaker 5: from a Fox News reporter but on her like Twitter 220 00:12:18,120 --> 00:12:21,280 Speaker 5: account and something that actually, like as far as I 221 00:12:21,320 --> 00:12:21,880 Speaker 5: can tell. 222 00:12:21,720 --> 00:12:23,280 Speaker 3: Has not actually been verified. 223 00:12:23,600 --> 00:12:25,720 Speaker 5: And I was actually like really troubled by that, Like 224 00:12:25,920 --> 00:12:29,240 Speaker 5: the head of the FBI should not be like so circulating, 225 00:12:29,440 --> 00:12:34,720 Speaker 5: you know, like rumors on Twitter in general only Charlie 226 00:12:34,800 --> 00:12:38,360 Speaker 5: Kirk investigation. I mean I do think, like, you know, 227 00:12:38,400 --> 00:12:41,760 Speaker 5: the one thing was, as with the earlier case with 228 00:12:41,800 --> 00:12:43,680 Speaker 5: Luig g you know, the fact that they had a 229 00:12:43,760 --> 00:12:48,240 Speaker 5: video and then family and friends recognized. I mean, that 230 00:12:48,320 --> 00:12:49,880 Speaker 5: was the thing that turned it. But otherwise he was 231 00:12:49,920 --> 00:12:53,000 Speaker 5: like stumping all over the investigation. They were like saying 232 00:12:53,040 --> 00:12:55,440 Speaker 5: stuff that was not true. Actually, like very early on 233 00:12:55,760 --> 00:12:58,520 Speaker 5: he was saying that we had a subject and thank 234 00:12:58,559 --> 00:13:01,000 Speaker 5: you for all the great work, which is you know, 235 00:13:01,040 --> 00:13:03,480 Speaker 5: someone who was Actually they had two people that were 236 00:13:03,480 --> 00:13:05,680 Speaker 5: like totally not involved with the thing at all. One 237 00:13:05,760 --> 00:13:08,400 Speaker 5: was a local crank who was to all political events, 238 00:13:08,760 --> 00:13:13,600 Speaker 5: and the other one was actually like former Heritage intern 239 00:13:14,320 --> 00:13:16,920 Speaker 5: who happens to be from the Middle East and had 240 00:13:16,920 --> 00:13:19,520 Speaker 5: a released turned flag on his shirt, which is a 241 00:13:19,520 --> 00:13:23,200 Speaker 5: case of racial profiling, so right, and he was like 242 00:13:23,280 --> 00:13:25,600 Speaker 5: at the time treating us the case is closed so 243 00:13:25,640 --> 00:13:29,160 Speaker 5: this is all like incredibly like like bumbling and shameful. 244 00:13:29,679 --> 00:13:32,760 Speaker 1: I mean, the one thing that I think we should 245 00:13:32,840 --> 00:13:35,160 Speaker 1: just segue here is that the Supreme Court has recently 246 00:13:35,280 --> 00:13:38,959 Speaker 1: ruled that racial profiling is okay if it is in 247 00:13:39,000 --> 00:13:44,840 Speaker 1: the service of harassing Latinos, a group that had voted 248 00:13:44,880 --> 00:13:45,320 Speaker 1: for Trump. 249 00:13:46,679 --> 00:13:49,400 Speaker 5: I was gonna that's gonna keep quick, because I'm looking 250 00:13:49,400 --> 00:13:51,680 Speaker 5: at all the pulling of Latinos and there used to 251 00:13:51,679 --> 00:13:54,720 Speaker 5: be like a huge amount of buyer's reverse there. 252 00:13:55,080 --> 00:13:59,719 Speaker 1: But imagine why that would be, why you would have 253 00:14:00,160 --> 00:14:00,800 Speaker 1: remorse from that? 254 00:14:00,960 --> 00:14:03,880 Speaker 3: Yeah, yeah, you know, like you know, like obviously. 255 00:14:03,640 --> 00:14:05,760 Speaker 5: Like you know, like you know, as a principal person 256 00:14:05,760 --> 00:14:07,839 Speaker 5: of the left, I you know, like racial profiling is bad. 257 00:14:07,880 --> 00:14:08,839 Speaker 5: But I have to say, if you've got to be 258 00:14:08,920 --> 00:14:13,040 Speaker 5: racially profiling minority members of the Heritage Foundation. 259 00:14:13,080 --> 00:14:16,280 Speaker 1: You don't know, I mean, it does. You know. So 260 00:14:16,480 --> 00:14:19,760 Speaker 1: much of this administration and so much of the moment 261 00:14:19,800 --> 00:14:23,240 Speaker 1: we're in here is like this inability to learn the 262 00:14:23,360 --> 00:14:27,560 Speaker 1: lessons of the past, And I'm struck by like racial profiling. 263 00:14:27,920 --> 00:14:32,200 Speaker 1: I'm old enough to remember after nine to eleven, when people, 264 00:14:32,360 --> 00:14:34,640 Speaker 1: you know, when there was a sheikh who was murdered 265 00:14:35,240 --> 00:14:38,640 Speaker 1: because they thought he was you know, like I'm old 266 00:14:38,760 --> 00:14:41,400 Speaker 1: enough to remember the reason we don't do this is 267 00:14:41,440 --> 00:14:45,760 Speaker 1: because it doesn't because it doesn't work, and because it ultimately, 268 00:14:46,200 --> 00:14:49,880 Speaker 1: you know, tramples on civil liberties. Now, this administration not 269 00:14:50,040 --> 00:14:52,800 Speaker 1: super big on due process or civil liberties. 270 00:14:52,880 --> 00:14:57,760 Speaker 5: But still yeah, but but still, I mean, they have 271 00:14:57,800 --> 00:15:00,080 Speaker 5: not learned any lessons. I mean, it's interesting there there 272 00:15:00,160 --> 00:15:03,400 Speaker 5: is a kinder tension a little bit between the more 273 00:15:03,480 --> 00:15:08,000 Speaker 5: gun home members of the administration patl and Stephen Miller. 274 00:15:08,440 --> 00:15:10,080 Speaker 5: I think, like, you know, in some ways, I mean, 275 00:15:10,240 --> 00:15:13,080 Speaker 5: the Trump is almost the moderate of his administration because 276 00:15:13,080 --> 00:15:16,360 Speaker 5: occasionally some I've be were seeing this with the case 277 00:15:16,400 --> 00:15:19,320 Speaker 5: of the car plant in Georgia, where it seems like 278 00:15:19,400 --> 00:15:23,040 Speaker 5: actually like they were, as is often the case, ICE 279 00:15:23,120 --> 00:15:25,880 Speaker 5: was going in to go after Latino employees and they 280 00:15:25,880 --> 00:15:28,800 Speaker 5: saw all these like Koreans and they said, like, you know, we're. 281 00:15:28,640 --> 00:15:32,360 Speaker 3: All like legitimate visas and we're there to trade Americans. 282 00:15:32,520 --> 00:15:34,560 Speaker 5: And you know, the state of Georgia spent a huge 283 00:15:34,600 --> 00:15:37,080 Speaker 5: amount of effort to try to get the spot brought 284 00:15:37,280 --> 00:15:41,480 Speaker 5: into their state, and southern really it's like this great 285 00:15:41,520 --> 00:15:43,800 Speaker 5: you know, like as with a large patting ally for 286 00:15:43,880 --> 00:15:47,480 Speaker 5: seventy years and now like you know, like basically, you know, 287 00:15:47,640 --> 00:15:50,960 Speaker 5: like everything is going down the toilet. Now. I have 288 00:15:51,040 --> 00:15:53,640 Speaker 5: to say, like Trump himself seems to like be thinking, 289 00:15:53,720 --> 00:15:55,880 Speaker 5: like wait a minute, this is not actually something we 290 00:15:55,880 --> 00:15:58,280 Speaker 5: should be doing, because he has these rich business friends 291 00:15:58,280 --> 00:16:00,440 Speaker 5: who tell him that. But like as well as like 292 00:16:00,440 --> 00:16:02,400 Speaker 5: you know, like someone like Stephen Miller, this is actually, 293 00:16:02,440 --> 00:16:03,800 Speaker 5: this is actually what he wants. 294 00:16:04,000 --> 00:16:07,560 Speaker 1: South Korea is an incredible story and I cannot stop 295 00:16:07,600 --> 00:16:09,760 Speaker 1: talking about it for a number of reasons. But one is, 296 00:16:10,280 --> 00:16:13,960 Speaker 1: you put the tariffs in place so that people will 297 00:16:14,040 --> 00:16:18,840 Speaker 1: manufacture in America. So all you want is people to 298 00:16:18,920 --> 00:16:23,440 Speaker 1: build plants in Georgia. Georgia's a red state. Donald Trump 299 00:16:23,680 --> 00:16:28,120 Speaker 1: Republican governor. He is killing himself to get this investment. 300 00:16:28,160 --> 00:16:32,560 Speaker 1: They are training Americans for high paying jobs, right not working, 301 00:16:32,680 --> 00:16:37,320 Speaker 1: you know, not picking strawberries, but like really, job is. 302 00:16:37,480 --> 00:16:39,120 Speaker 3: What everybody wants, is what Democrats were. 303 00:16:40,400 --> 00:16:45,120 Speaker 1: Let's manufacturing job, good manufacturing jobs. And they arrest the 304 00:16:45,200 --> 00:16:48,920 Speaker 1: people who are training them. They put them in they 305 00:16:48,960 --> 00:16:53,440 Speaker 1: disappear them, okay, in a facility. Then they put them 306 00:16:53,440 --> 00:16:55,800 Speaker 1: on a plane. Then they can't decide whether to send 307 00:16:55,800 --> 00:16:59,400 Speaker 1: them back because remember this is always Keystone Pomps. They're 308 00:16:59,440 --> 00:17:01,320 Speaker 1: back and forth whether or not to send them back. 309 00:17:01,560 --> 00:17:03,800 Speaker 1: These people just want to go home because they are 310 00:17:04,040 --> 00:17:07,280 Speaker 1: like successful professionals. They go on to South Korea. They 311 00:17:07,359 --> 00:17:12,160 Speaker 1: do a media blitz where they have photographs of them 312 00:17:12,200 --> 00:17:16,399 Speaker 1: being mistreated. They have bruises, there's a pregnant woman. I 313 00:17:16,400 --> 00:17:18,320 Speaker 1: mean they are on the news twenty four to seven. 314 00:17:18,800 --> 00:17:21,240 Speaker 1: The South Koreans now are talking about that they want 315 00:17:21,320 --> 00:17:24,320 Speaker 1: some kind of like hey go like thing for this, 316 00:17:24,440 --> 00:17:28,320 Speaker 1: that this may have been their right. 317 00:17:27,520 --> 00:17:29,040 Speaker 3: Violation of like there you would right. 318 00:17:29,119 --> 00:17:31,640 Speaker 5: So I wanted us to look at the pictures because 319 00:17:31,680 --> 00:17:33,879 Speaker 5: as far as I can tell, those people actually were 320 00:17:33,920 --> 00:17:35,680 Speaker 5: done perfectly legitimate. 321 00:17:35,280 --> 00:17:37,840 Speaker 3: Reason them to be in Jorgia. 322 00:17:40,000 --> 00:17:44,880 Speaker 5: Yeah no, I mean I haven't no geophilitical genius. Maybe 323 00:17:45,160 --> 00:17:49,200 Speaker 5: like alienating one of America's closest allies in a region 324 00:17:49,240 --> 00:17:51,000 Speaker 5: where you think it's going to be the sort of 325 00:17:51,000 --> 00:17:54,120 Speaker 5: battleground of the twenty first century where you're gonna try 326 00:17:54,160 --> 00:17:57,159 Speaker 5: to create an online system against China. Maybe that's a 327 00:17:57,200 --> 00:18:00,199 Speaker 5: good policy. I don't know, but maybe there's a like 328 00:18:00,240 --> 00:18:03,000 Speaker 5: five dimensional tails I've seen here. Maybe I should give 329 00:18:03,080 --> 00:18:04,080 Speaker 5: him the benefit of the note. 330 00:18:04,440 --> 00:18:06,480 Speaker 1: The other thing is that, And I think that we 331 00:18:06,520 --> 00:18:10,520 Speaker 1: should talk about this in a minute. Tariff's inflationary, right, 332 00:18:10,920 --> 00:18:14,919 Speaker 1: Trump gets back into office basically because voters, I mean, 333 00:18:14,960 --> 00:18:17,320 Speaker 1: there are a number of other crosswinds, but voters are 334 00:18:17,359 --> 00:18:21,760 Speaker 1: mad about inflation. Biden administration says inflation is transitory. The 335 00:18:22,040 --> 00:18:27,360 Speaker 1: voters are like that not good enough. Okay, fast forward 336 00:18:28,080 --> 00:18:33,720 Speaker 1: here we are, Okay, tariffs are inflationary, groceries going up. 337 00:18:34,400 --> 00:18:37,520 Speaker 1: My man is not doing anything about it. And his 338 00:18:38,119 --> 00:18:43,360 Speaker 1: I mean, the economist known woke paper. The economist has 339 00:18:43,440 --> 00:18:47,440 Speaker 1: him down negative seventeen. Yeah yeah, and he's finally negative 340 00:18:48,040 --> 00:18:49,879 Speaker 1: in the state of Texas. 341 00:18:50,080 --> 00:18:50,800 Speaker 3: Yeah yeah, yeah. 342 00:18:51,000 --> 00:18:52,880 Speaker 5: He goes back to this, I mean, and I think 343 00:18:52,960 --> 00:18:55,840 Speaker 5: that Texas stuff was particularly driven by what we just mentioned, 344 00:18:55,880 --> 00:18:59,000 Speaker 5: which is the Latino vote, which had gone for Trump. 345 00:19:00,040 --> 00:19:01,560 Speaker 3: It is like an amazing thing. 346 00:19:01,760 --> 00:19:03,360 Speaker 5: And this is actually I'm like, you know, you're talking 347 00:19:03,400 --> 00:19:06,040 Speaker 5: about the Democrats being a straight but like I look 348 00:19:06,080 --> 00:19:08,439 Speaker 5: at the polling number and I'm actually thinking, like, like, 349 00:19:08,520 --> 00:19:10,720 Speaker 5: I'm actually puzzled by, well, you know, why they aren't 350 00:19:10,800 --> 00:19:14,399 Speaker 5: more aggressively challenging Trump on every front because he is 351 00:19:14,440 --> 00:19:19,600 Speaker 5: actually quite weak politically, and I feel like this is 352 00:19:19,640 --> 00:19:23,360 Speaker 5: a uh they're pulling up training like I think he's 353 00:19:23,359 --> 00:19:25,760 Speaker 5: actually lower now than he's ever been, which is kind 354 00:19:25,760 --> 00:19:26,920 Speaker 5: of like amazing. 355 00:19:26,960 --> 00:19:29,840 Speaker 1: And it goes back. I think I'd love to go 356 00:19:29,960 --> 00:19:33,680 Speaker 1: back for a minute to this idea of Target. So 357 00:19:33,840 --> 00:19:38,640 Speaker 1: Target went anti woke and they got you know, they said, 358 00:19:38,640 --> 00:19:41,280 Speaker 1: we're not going to do performative allyship, We're just going 359 00:19:41,359 --> 00:19:44,359 Speaker 1: to do no allyship. They were riding trump Ism, and 360 00:19:44,400 --> 00:19:47,720 Speaker 1: they just did terrible numbers because people just were like, 361 00:19:47,960 --> 00:19:49,879 Speaker 1: we're not going to go to you. So here's a 362 00:19:49,960 --> 00:19:53,640 Speaker 1: question for you. It's not popular, right, it's not. It's 363 00:19:53,680 --> 00:19:57,000 Speaker 1: not popular. Yeah, it's getting less popular. It's everything's getting 364 00:19:57,000 --> 00:20:00,320 Speaker 1: more expensive. People are unhappier. This is just going to 365 00:20:00,359 --> 00:20:02,760 Speaker 1: get I mean, if Nixon, if Nixon and the Fed 366 00:20:03,040 --> 00:20:06,600 Speaker 1: is any history which we never learned from, but we 367 00:20:06,680 --> 00:20:09,800 Speaker 1: will repeat and again and again. It looks like Trump 368 00:20:09,800 --> 00:20:12,920 Speaker 1: pressuring the Fed to lower interest rates will likely get 369 00:20:13,000 --> 00:20:15,040 Speaker 1: us very much, you know, into spaculation. 370 00:20:15,320 --> 00:20:18,840 Speaker 5: Yeah, no, absolutely, I think that that's kind of where 371 00:20:18,960 --> 00:20:22,120 Speaker 5: we're heading. And again, I I do think that given 372 00:20:22,160 --> 00:20:24,119 Speaker 5: all those things, I actually think like I was a 373 00:20:24,320 --> 00:20:27,480 Speaker 5: bolder strategy against Trump and then more you know, more 374 00:20:27,600 --> 00:20:31,000 Speaker 5: forthright willingness to speak out against it. The thing I think, 375 00:20:31,080 --> 00:20:34,560 Speaker 5: like Target and all these other companies is I think 376 00:20:34,560 --> 00:20:38,000 Speaker 5: that they're not driven by like polling or what is 377 00:20:38,040 --> 00:20:41,240 Speaker 5: even popular. They're driven by fear, you know. As for 378 00:20:41,640 --> 00:20:44,639 Speaker 5: Trump has both the ability and has shown the willingness 379 00:20:45,000 --> 00:20:48,320 Speaker 5: to like you know, like Target anyone who sees as 380 00:20:48,359 --> 00:20:53,040 Speaker 5: a political fo you know, no pun intended with Target, Yeah, 381 00:20:52,560 --> 00:20:55,639 Speaker 5: and that like HERD companies. So I actually think, like, 382 00:20:55,720 --> 00:20:57,879 Speaker 5: you know, all the stuff we're seeing with all the 383 00:20:57,920 --> 00:21:01,600 Speaker 5: CEOs continuing to sort of butter up Trump, all the 384 00:21:01,600 --> 00:21:04,320 Speaker 5: institutions and continuing now with like you know, the the 385 00:21:04,400 --> 00:21:08,320 Speaker 5: academic institutions, like surrendering to him and providing lists of 386 00:21:08,359 --> 00:21:11,360 Speaker 5: professors as they did in California. 387 00:21:11,520 --> 00:21:12,919 Speaker 3: That's like such a short sighted thing. 388 00:21:12,920 --> 00:21:16,280 Speaker 5: They're basically thinking about, you know, what's our like you know, future, 389 00:21:16,359 --> 00:21:20,120 Speaker 5: the next two three years. But with your tires off 390 00:21:20,520 --> 00:21:23,240 Speaker 5: with like this guy who's hu's the unpopular and there 391 00:21:23,280 --> 00:21:24,080 Speaker 5: will be a reckoning. 392 00:21:24,119 --> 00:21:26,199 Speaker 3: There will be a reckoning, like you know, like. 393 00:21:26,840 --> 00:21:30,800 Speaker 5: Post Trump, and like we were like, uh, we'll remember, 394 00:21:30,880 --> 00:21:33,560 Speaker 5: I hope, like all the people that were cowards. 395 00:21:33,560 --> 00:21:36,720 Speaker 1: And I and I also think I think the add 396 00:21:36,760 --> 00:21:40,080 Speaker 1: on here is like the the reason why Trump is 397 00:21:40,320 --> 00:21:44,080 Speaker 1: focused on crime and sending the National Guard into cities, 398 00:21:44,359 --> 00:21:46,680 Speaker 1: and the reason why the right all they want to 399 00:21:46,680 --> 00:21:50,680 Speaker 1: talk about is crime is because they know that they're 400 00:21:50,680 --> 00:21:54,200 Speaker 1: losing on everything else. Right, if he were winning on immigration, 401 00:21:54,320 --> 00:21:56,959 Speaker 1: he'd be like, let's talk about immigration. But he knows. 402 00:21:57,760 --> 00:22:00,840 Speaker 1: You know, you got these farmers in states, have no 403 00:22:00,920 --> 00:22:04,320 Speaker 1: one to work for them. You have an inflation with 404 00:22:04,440 --> 00:22:07,879 Speaker 1: the labor market. You have you know, these videos of 405 00:22:08,000 --> 00:22:10,880 Speaker 1: people being dragged out of there, I mean Christine knows, 406 00:22:11,040 --> 00:22:13,800 Speaker 1: oh yeah, yeah, poppy killer Christie. 407 00:22:13,880 --> 00:22:18,480 Speaker 6: Actually show that immigration is not more popular legal immigration, 408 00:22:20,040 --> 00:22:22,959 Speaker 6: say that immigration is good for a Verica. The Stephen 409 00:22:23,000 --> 00:22:26,879 Speaker 6: Miller position, which is basically like you know, it is 410 00:22:26,920 --> 00:22:29,560 Speaker 6: not increasing, like you know, like let's have a fortress, 411 00:22:29,720 --> 00:22:30,480 Speaker 6: let's not let them in. 412 00:22:30,560 --> 00:22:32,399 Speaker 3: It is like you know, like send them all back. 413 00:22:32,760 --> 00:22:34,520 Speaker 3: That is like hugely unpopular. 414 00:22:34,560 --> 00:22:38,280 Speaker 1: That's right, Yeah, I mean that is you know, Trump 415 00:22:38,320 --> 00:22:42,159 Speaker 1: has made immigration popular and Stephen Miller has done it. 416 00:22:42,240 --> 00:22:45,679 Speaker 1: The other thing that I think about when we're looking 417 00:22:45,720 --> 00:22:50,760 Speaker 1: at this is that they just seem unable to get 418 00:22:50,760 --> 00:22:54,160 Speaker 1: their footing and the Epstein stuff, The fact that they 419 00:22:54,359 --> 00:22:59,360 Speaker 1: can't get a message on Epstein, which has been around 420 00:22:59,520 --> 00:23:03,240 Speaker 1: now forever, right, Yeah, I mean this is like we're 421 00:23:03,240 --> 00:23:07,120 Speaker 1: going on twenty more. The Epstein case has been going 422 00:23:07,160 --> 00:23:10,760 Speaker 1: longer than Donald Trump has been president, and they can't 423 00:23:10,760 --> 00:23:13,439 Speaker 1: get their footing on this. They can't get a story 424 00:23:13,480 --> 00:23:17,040 Speaker 1: straight that's cohesive. And like I was shocked with Patel 425 00:23:17,080 --> 00:23:20,200 Speaker 1: where he just couldn't he had no answer, and even 426 00:23:20,280 --> 00:23:24,560 Speaker 1: like there was a question from Kennedy from Louisiana, like, 427 00:23:25,000 --> 00:23:27,800 Speaker 1: my man is not a liberal. He said this thing, 428 00:23:27,960 --> 00:23:32,280 Speaker 1: this very specific line about how Epstein didn traffic these women, 429 00:23:32,560 --> 00:23:37,520 Speaker 1: which is obviously untrue. But also if you are the 430 00:23:37,640 --> 00:23:41,560 Speaker 1: Trump Bays and you are looking, you are looking for answers, 431 00:23:42,200 --> 00:23:44,040 Speaker 1: like you could not be less satisfied. 432 00:23:44,359 --> 00:23:46,199 Speaker 5: Yeah, no, absolutely, I mean I mean the thing with 433 00:23:46,320 --> 00:23:48,880 Speaker 5: like the FSC thing is like a kind of classic 434 00:23:48,880 --> 00:23:51,320 Speaker 5: case where they got themselves in their own trap because 435 00:23:51,359 --> 00:23:54,600 Speaker 5: they were they used it to try to like delegitimize 436 00:23:54,600 --> 00:23:58,320 Speaker 5: the Democrats, And I mean that was interesting. The podcasters 437 00:23:58,560 --> 00:24:01,080 Speaker 5: were more interested in this than Trump himself. Trump himself 438 00:24:01,359 --> 00:24:04,360 Speaker 5: like you know, the and he had used Epstein initially 439 00:24:04,600 --> 00:24:07,080 Speaker 5: in twenty fifteen, twenty sixteen, but after that time he 440 00:24:07,160 --> 00:24:10,119 Speaker 5: became very quiet about it because he kind of knew that, 441 00:24:10,200 --> 00:24:12,600 Speaker 5: like there are really no good answers and on that 442 00:24:12,640 --> 00:24:16,080 Speaker 5: point of Keptley not doing trafficking, and what's this like 443 00:24:16,160 --> 00:24:18,480 Speaker 5: you know for mainstream people as well, like someone like 444 00:24:18,520 --> 00:24:21,960 Speaker 5: Ezra Klein saying like, well, you know, like I know 445 00:24:22,520 --> 00:24:25,840 Speaker 5: Epstein hung out with these famous, powerful people, but like, 446 00:24:25,960 --> 00:24:28,959 Speaker 5: you know, did they know about what was happening with 447 00:24:29,000 --> 00:24:30,880 Speaker 5: the young women? You know, like maybe these two parts 448 00:24:30,880 --> 00:24:32,520 Speaker 5: of Epstein's likee we separate. 449 00:24:32,520 --> 00:24:36,480 Speaker 7: Like like we actually have many many birthday cards from 450 00:24:36,720 --> 00:24:40,920 Speaker 7: like rich and powerful people to Jeffrey Epstein, and they 451 00:24:41,200 --> 00:24:45,120 Speaker 7: all somehow have these incredibly weird and creepy pictures of 452 00:24:45,160 --> 00:24:49,560 Speaker 7: Epstein with like young girls, and they all are making 453 00:24:49,600 --> 00:24:52,480 Speaker 7: like these illusions to things that like basically do as 454 00:24:52,480 --> 00:24:56,399 Speaker 7: they sound like incredibly predatory abusive children. 455 00:24:56,480 --> 00:24:59,240 Speaker 3: So like it's kind of like how does that even 456 00:24:59,359 --> 00:25:00,440 Speaker 3: like fly anymore? 457 00:25:00,760 --> 00:25:04,840 Speaker 1: If nothing else? The birthday book is a shocking revelation. 458 00:25:05,960 --> 00:25:08,119 Speaker 5: Gee, it was at the kind of shock like like 459 00:25:08,160 --> 00:25:11,280 Speaker 5: I just thought maybe these guys were speaking code. They 460 00:25:11,359 --> 00:25:14,359 Speaker 5: don't like no, it's like no, I'm gonna draw a 461 00:25:14,400 --> 00:25:17,880 Speaker 5: little picture of my friend Epstein surrounded by young guy 462 00:25:17,880 --> 00:25:19,359 Speaker 5: offering balloons to young girls. 463 00:25:19,400 --> 00:25:24,000 Speaker 1: It's like what is with the dates and their ages? 464 00:25:24,440 --> 00:25:28,119 Speaker 1: So if you're wondering, they're not trying hard to hide it. 465 00:25:28,280 --> 00:25:30,440 Speaker 1: Jeet here, will you please come back. 466 00:25:31,280 --> 00:25:33,480 Speaker 3: I'm always happy to be on this for Go. 467 00:25:35,480 --> 00:25:41,640 Speaker 1: Financial Times, Chief US commentator and author of Ziggernou Brazinski, 468 00:25:41,800 --> 00:25:46,600 Speaker 1: America's Great Power Profit. Welcome to Fast Politics, ed. 469 00:25:46,600 --> 00:25:50,639 Speaker 4: Lous Calamony, lovely to be with you. As always, I'm. 470 00:25:50,520 --> 00:25:53,280 Speaker 1: Such a fan of yours and I always am delighted 471 00:25:53,280 --> 00:25:55,480 Speaker 1: when i get to talk to you on television, and 472 00:25:56,000 --> 00:25:58,040 Speaker 1: I'm always delighted when I get to talked to you 473 00:25:58,280 --> 00:26:02,280 Speaker 1: in podcasts and even in real life. So let's talk 474 00:26:02,320 --> 00:26:05,720 Speaker 1: about this piece you wrote for the FT about sort 475 00:26:05,720 --> 00:26:08,520 Speaker 1: of I think really about where we. 476 00:26:08,480 --> 00:26:11,600 Speaker 4: Are right, yes, I mean where we are post to 477 00:26:11,680 --> 00:26:15,440 Speaker 4: Charlie kirk killing. Yeah, but where we are more generally, 478 00:26:15,560 --> 00:26:18,399 Speaker 4: I mean a lot of what we've all been saying 479 00:26:18,800 --> 00:26:22,200 Speaker 4: since his killing, We were saying and could have been saying, 480 00:26:22,320 --> 00:26:24,960 Speaker 4: just in slightly different ways before his killing. It's just 481 00:26:25,040 --> 00:26:28,440 Speaker 4: a moment of shock, but it's actually nothing new. How 482 00:26:28,480 --> 00:26:31,960 Speaker 4: the right of reacted to this nothing new whatsoever, which 483 00:26:32,240 --> 00:26:36,639 Speaker 4: is to become champions of cancel culture, to weaponize language 484 00:26:36,720 --> 00:26:40,600 Speaker 4: to I mean extraordinarily, any criticism of Charlie Kirk now 485 00:26:40,920 --> 00:26:44,000 Speaker 4: is considered to be incitement to murder. This is by 486 00:26:44,359 --> 00:26:46,400 Speaker 4: no means a First Amendment stance. 487 00:26:46,720 --> 00:26:50,800 Speaker 1: Yeah, now, Donald Trump is going to the UK talk 488 00:26:50,880 --> 00:26:52,200 Speaker 1: us through what's happening here. 489 00:26:52,600 --> 00:26:56,240 Speaker 4: He was flattered by KOs Dama, the British Prime Minister, 490 00:26:56,520 --> 00:26:59,399 Speaker 4: back in February. If you're remember, he handed Trump this 491 00:26:59,560 --> 00:27:03,639 Speaker 4: invitation slightly sort of cringe worthy moment where he is saying, 492 00:27:03,680 --> 00:27:08,080 Speaker 4: this is personally handwritten by King Charles and it's unprecedented. 493 00:27:08,160 --> 00:27:11,400 Speaker 4: You're the only president who's had two state visits, which 494 00:27:11,400 --> 00:27:14,879 Speaker 4: of course amazing. You know, with all the coaches and 495 00:27:15,000 --> 00:27:18,119 Speaker 4: horses and pageantry, all of this will flat of Trump. 496 00:27:18,280 --> 00:27:20,720 Speaker 4: And that's clearly the British strategy. But my problem is 497 00:27:21,119 --> 00:27:24,280 Speaker 4: I understand why foreign countries flat of Trump, because you 498 00:27:24,320 --> 00:27:27,360 Speaker 4: can avoid ten percent on your bottom line just by 499 00:27:27,440 --> 00:27:30,720 Speaker 4: pure sucking up. But other countries, and I'm thinking of 500 00:27:30,800 --> 00:27:34,200 Speaker 4: Canada in particular in terms of Western ones, and countries 501 00:27:34,240 --> 00:27:38,000 Speaker 4: like India, have follow up strategies, which is to hedge 502 00:27:38,200 --> 00:27:41,280 Speaker 4: against Trump, against the flattery wearing off within a few 503 00:27:41,359 --> 00:27:44,960 Speaker 4: days and Trump trump volcano erupting again. And so what 504 00:27:45,000 --> 00:27:48,160 Speaker 4: worries me about Britain. Is Britain has a mega problem. 505 00:27:48,040 --> 00:27:50,840 Speaker 1: Right they really do. So talk us through that, because 506 00:27:50,880 --> 00:27:51,600 Speaker 1: that's a real thing. 507 00:27:52,000 --> 00:27:55,200 Speaker 4: So there was a march last Saturday called the Unite 508 00:27:55,400 --> 00:27:58,840 Speaker 4: the Kingdom March in London, somewhere between one hundred hundred 509 00:27:58,880 --> 00:28:02,240 Speaker 4: and fifty thousand and straitors far right, I mean, led 510 00:28:02,280 --> 00:28:05,679 Speaker 4: by this guy called Tommy Robinson, who is a favorite 511 00:28:05,760 --> 00:28:08,480 Speaker 4: of Elon Musk. He's an ex football who loore going. 512 00:28:08,600 --> 00:28:11,520 Speaker 4: He was jailed for assulting a police officer, jailed for 513 00:28:11,640 --> 00:28:14,639 Speaker 4: fraud jail, I mean he was. He's been convicted seven times. 514 00:28:14,680 --> 00:28:17,479 Speaker 4: He is a fascist street thug and this was his 515 00:28:17,560 --> 00:28:20,440 Speaker 4: march in his name, and Mask addressed it and said 516 00:28:20,520 --> 00:28:23,119 Speaker 4: violence is coming to Britain. Get ready do violence to 517 00:28:23,160 --> 00:28:24,800 Speaker 4: the people who are doing violence to you. It's a 518 00:28:24,840 --> 00:28:28,520 Speaker 4: sort of transposing of the Charlie Kirk aftermath onto the 519 00:28:28,520 --> 00:28:29,320 Speaker 4: British debate. 520 00:28:29,600 --> 00:28:34,120 Speaker 1: What do you think about that moment with Mask? Because 521 00:28:34,160 --> 00:28:37,679 Speaker 1: I saw that quip and I was pretty horrified, and 522 00:28:37,760 --> 00:28:42,280 Speaker 1: I wondered, he is the richest man in the world. Still, 523 00:28:42,560 --> 00:28:44,920 Speaker 1: I wonder what the thinking there is. 524 00:28:45,600 --> 00:28:49,480 Speaker 4: So masque, you know, whatever the psychological origins of him 525 00:28:49,560 --> 00:28:54,360 Speaker 4: turning on liberal democracy, and you know, parties that support 526 00:28:54,400 --> 00:28:57,640 Speaker 4: liberal democracy, whether they be Democrats or the Labor Party 527 00:28:57,880 --> 00:29:00,920 Speaker 4: or any of the non fascist parts. He's in Germany. 528 00:29:01,400 --> 00:29:04,320 Speaker 4: What the origins are of that, or whether ketamine is 529 00:29:04,320 --> 00:29:06,800 Speaker 4: a bigger explanation, I don't know, but is a very 530 00:29:06,880 --> 00:29:09,960 Speaker 4: weird story because you know, he was the guy who 531 00:29:10,000 --> 00:29:13,080 Speaker 4: was delivering the future to liberal car buyers the EV. 532 00:29:13,640 --> 00:29:17,040 Speaker 1: I mean, it's just a baffling situation. 533 00:29:16,760 --> 00:29:19,600 Speaker 4: Right, It's very baffling. I mean, one thing is, you know, 534 00:29:19,680 --> 00:29:23,360 Speaker 4: he felt snubbed because Biden had an EV summit to 535 00:29:23,440 --> 00:29:27,640 Speaker 4: which Musk was conspicuously not invited because by that stage 536 00:29:27,640 --> 00:29:30,760 Speaker 4: in early Biden he'd shown many of the obnoxious signs 537 00:29:30,800 --> 00:29:33,479 Speaker 4: that we now no one loves so well. He'd you know, 538 00:29:33,560 --> 00:29:37,360 Speaker 4: he'd tormented that school teacher in Thailand. You know, he'd 539 00:29:37,400 --> 00:29:40,520 Speaker 4: been going off the rails a lot, and so Biden 540 00:29:40,680 --> 00:29:44,040 Speaker 4: probably slightly unwisely didn't invite him. But nevertheless, it doesn't 541 00:29:44,240 --> 00:29:47,120 Speaker 4: in any way explain the rage. The fact that he 542 00:29:47,200 --> 00:29:50,480 Speaker 4: has a daughter while a son who has transitioned that 543 00:29:50,720 --> 00:29:54,440 Speaker 4: sort of clearly triggered him. And then I think that 544 00:29:54,840 --> 00:29:58,880 Speaker 4: the Biden administration turned down his offer of Starlink providing 545 00:29:59,160 --> 00:30:03,960 Speaker 4: rural wife, basically rural connectivity to America. That pissed him off. 546 00:30:04,040 --> 00:30:07,560 Speaker 4: But I mean of which remotely explains or justifies going 547 00:30:07,840 --> 00:30:10,200 Speaker 4: full blown fascist. 548 00:30:09,880 --> 00:30:13,360 Speaker 1: Rain and also encouraging. But the question I wonder with 549 00:30:13,640 --> 00:30:16,880 Speaker 1: urging people to violence is there's a reason very wealthy 550 00:30:16,920 --> 00:30:21,160 Speaker 1: people don't say things like that, And isn't there some 551 00:30:21,520 --> 00:30:23,720 Speaker 1: culpability if somebody gets hurt? 552 00:30:24,160 --> 00:30:26,400 Speaker 4: There is, and there are limits to free speech even 553 00:30:26,480 --> 00:30:29,920 Speaker 4: under the First Amendment, inside the violence, shouting fire in 554 00:30:29,920 --> 00:30:34,080 Speaker 4: a crowded theater, etc. I would submit that under American law, 555 00:30:34,400 --> 00:30:37,080 Speaker 4: urging people as he did a year ago, when Britain 556 00:30:37,120 --> 00:30:40,600 Speaker 4: had these horrible sort of race riot around the killing 557 00:30:40,640 --> 00:30:43,480 Speaker 4: of three girls allegedly by a refugee. It turned out 558 00:30:43,520 --> 00:30:47,800 Speaker 4: it wasn't a refugee. But there were mobs seeking hotels, hostels, 559 00:30:48,040 --> 00:30:50,720 Speaker 4: looking to burn them. There's hostels with families in them. 560 00:30:51,000 --> 00:30:55,240 Speaker 4: Mask was egging on people like Tommy Robinson, whose accounts 561 00:30:55,240 --> 00:30:57,960 Speaker 4: he had restored to x they'd been banned from Twitter 562 00:30:58,080 --> 00:31:02,040 Speaker 4: for very good reasons. They were directing mobs, bloodthirsty mobs, 563 00:31:02,080 --> 00:31:06,200 Speaker 4: to these hostels. That surely is not protected speech. That 564 00:31:06,360 --> 00:31:09,120 Speaker 4: is incitement of violence. And what he said last Saturday 565 00:31:09,320 --> 00:31:12,760 Speaker 4: by video to this crowd in London was I believe incitement, 566 00:31:12,800 --> 00:31:16,560 Speaker 4: which is they are coming for you and therefore preemptively, 567 00:31:16,800 --> 00:31:19,840 Speaker 4: which is an exact replica of what we've heard in 568 00:31:19,880 --> 00:31:23,240 Speaker 4: the wake of Charlie Kirk's murder. I'm not suggesting he 569 00:31:23,800 --> 00:31:26,240 Speaker 4: you know, he'd be prosecuted for that, but he should 570 00:31:26,320 --> 00:31:30,400 Speaker 4: be persona non grata in any self respecting liberal democracy 571 00:31:30,640 --> 00:31:32,360 Speaker 4: that has a spine well. 572 00:31:32,400 --> 00:31:34,640 Speaker 1: And also I think there's a larger question of like 573 00:31:34,800 --> 00:31:39,360 Speaker 1: is he culpable, like financially like if somebody gets hurt 574 00:31:39,800 --> 00:31:43,400 Speaker 1: because they are attacked by someone who does what Elon 575 00:31:43,560 --> 00:31:45,800 Speaker 1: just told them to do, what does that mean. 576 00:31:46,440 --> 00:31:49,280 Speaker 4: Here's where the Trump visit and the Trump sort of 577 00:31:49,280 --> 00:31:53,320 Speaker 4: the trade UK US trade agenda intersects with this whole 578 00:31:53,320 --> 00:31:56,240 Speaker 4: issue of magg Yeah please, And that is the real 579 00:31:56,320 --> 00:31:58,760 Speaker 4: Trump line with Europe and with Britain is get rid 580 00:31:58,800 --> 00:32:02,240 Speaker 4: of regulation of digit get rid of any rules on 581 00:32:02,240 --> 00:32:06,760 Speaker 4: online speech and any constraints on big tech. Essentially, you're 582 00:32:06,800 --> 00:32:09,960 Speaker 4: just trying to harm America and our champions, and eat 583 00:32:10,000 --> 00:32:12,240 Speaker 4: On Musk is one of them. Sam Oltman is another. 584 00:32:12,640 --> 00:32:16,040 Speaker 4: That is of course an attack on any consequences for 585 00:32:16,240 --> 00:32:19,800 Speaker 4: incendiary so the violent inducing hate speech like ones that 586 00:32:20,240 --> 00:32:23,000 Speaker 4: Musk is specializing in nowadays, I mean, seems to be 587 00:32:23,360 --> 00:32:27,040 Speaker 4: really quite addicted to. You know, every day Trump wants 588 00:32:27,080 --> 00:32:31,000 Speaker 4: Britain and the European Union to scrap and Canada and 589 00:32:31,040 --> 00:32:33,640 Speaker 4: we're where he's had some success to scrap any limits 590 00:32:34,160 --> 00:32:37,000 Speaker 4: on what you can do online and both commercial behavior 591 00:32:37,040 --> 00:32:38,520 Speaker 4: and speech behavior. 592 00:32:38,240 --> 00:32:41,560 Speaker 1: And then you'll give them trade good trade deals. 593 00:32:41,960 --> 00:32:45,880 Speaker 4: Well then he just gives them less worse ones. All 594 00:32:45,960 --> 00:32:49,440 Speaker 4: they're doing is avoiding bullet worse but bigger bullets. You know, 595 00:32:49,480 --> 00:32:53,120 Speaker 4: there's no upside, is just to limit the downside to Trump. 596 00:32:53,120 --> 00:32:54,000 Speaker 4: But that's the game. 597 00:32:54,320 --> 00:32:54,480 Speaker 1: You know. 598 00:32:54,520 --> 00:32:57,719 Speaker 4: I'm just not confident that Kiirs Darma's government, or indeed 599 00:32:57,760 --> 00:33:01,200 Speaker 4: the French government, or I am quite confident in Mark Carney. 600 00:33:01,480 --> 00:33:05,880 Speaker 4: Yeah yeah, but most of these governments, Britain included, I 601 00:33:05,880 --> 00:33:09,680 Speaker 4: have little faith in stealiness. And you need to be steely. 602 00:33:09,840 --> 00:33:11,200 Speaker 4: We need to stand up to this. 603 00:33:11,600 --> 00:33:14,840 Speaker 1: I do just think happened with the trade stuff because 604 00:33:14,880 --> 00:33:19,880 Speaker 1: like at this point, we have these humongous trade humongous tariffs, 605 00:33:20,200 --> 00:33:25,000 Speaker 1: biggest ever right basically since the Great Depression, and with 606 00:33:25,160 --> 00:33:28,640 Speaker 1: these huge tariffs consumers are paying for them, some of it. 607 00:33:29,000 --> 00:33:31,080 Speaker 1: Companies are paying for some of it. Some of it's 608 00:33:31,160 --> 00:33:35,000 Speaker 1: just not priced in yet. Right the markets public markets 609 00:33:35,040 --> 00:33:39,120 Speaker 1: have decided they're ignoring it largely. Do you think at 610 00:33:39,160 --> 00:33:42,160 Speaker 1: some point we enter reality or do we just stay 611 00:33:42,200 --> 00:33:43,800 Speaker 1: in this weird unreality. 612 00:33:44,200 --> 00:33:47,560 Speaker 4: So the markets would be the sort of clearest administerers 613 00:33:48,200 --> 00:33:51,120 Speaker 4: of reality. And Trump the phrase Trump or Taco Trump 614 00:33:51,280 --> 00:33:53,959 Speaker 4: his chickens out comes from the bond markets. There is 615 00:33:54,000 --> 00:33:56,760 Speaker 4: a real puzzle amongst economists as to why the markets 616 00:33:56,800 --> 00:34:00,280 Speaker 4: still seem relatively happy. The dollar, by the way, been 617 00:34:00,320 --> 00:34:02,720 Speaker 4: falling steadily for three months. 618 00:34:02,920 --> 00:34:04,480 Speaker 1: Do you want to explain why that is? 619 00:34:04,920 --> 00:34:09,080 Speaker 4: Yeah? So I think that politics around the FED, the 620 00:34:09,120 --> 00:34:12,960 Speaker 4: reduction and probably extinction of the Fed's independence in the 621 00:34:13,000 --> 00:34:17,560 Speaker 4: coming months, has strongly reduced confidence in America's full faith 622 00:34:17,600 --> 00:34:20,560 Speaker 4: and credit as the sort of chief sopeign credit in 623 00:34:20,600 --> 00:34:21,000 Speaker 4: the world. 624 00:34:21,440 --> 00:34:24,600 Speaker 1: So what we're watching is something called dollar flight. 625 00:34:24,719 --> 00:34:27,400 Speaker 4: On a flight, and we're also of coursing a downgrading 626 00:34:27,400 --> 00:34:30,160 Speaker 4: of American growth prospects. I mean, to most Americans it 627 00:34:30,200 --> 00:34:33,239 Speaker 4: feels like a recession. The macro numbers don't show that 628 00:34:33,360 --> 00:34:36,759 Speaker 4: because there is growth in AI and the markets, you know, 629 00:34:36,920 --> 00:34:39,000 Speaker 4: are partly the markets are being held up by that. 630 00:34:39,120 --> 00:34:41,239 Speaker 4: But I think the markets have got a bet going here, 631 00:34:41,280 --> 00:34:44,000 Speaker 4: which is because the Fed's going to lose its independence, 632 00:34:44,120 --> 00:34:45,920 Speaker 4: We're going to have an era. 633 00:34:45,560 --> 00:34:46,719 Speaker 1: Of easy rally. 634 00:34:47,040 --> 00:34:49,239 Speaker 4: Yeah, we're going to have just easy money, and we'll 635 00:34:49,239 --> 00:34:52,000 Speaker 4: get inflation down the line. We're already seeing some, but 636 00:34:52,080 --> 00:34:55,040 Speaker 4: we'll get real inflation nineteen seventy style on the line 637 00:34:55,040 --> 00:34:57,239 Speaker 4: because the last time the FED did what it was 638 00:34:57,320 --> 00:35:01,200 Speaker 4: told and provide easy money was with and that created 639 00:35:01,280 --> 00:35:02,600 Speaker 4: the statsay stagflation. 640 00:35:03,040 --> 00:35:05,919 Speaker 1: Yeah, I mean that is clearly and we talk about 641 00:35:05,960 --> 00:35:07,719 Speaker 1: it all the time on this podcast. Because I was 642 00:35:07,760 --> 00:35:10,920 Speaker 1: born in the late seventies, so much of my early 643 00:35:11,000 --> 00:35:14,440 Speaker 1: childhood story is like my parents having these brown and 644 00:35:14,480 --> 00:35:19,040 Speaker 1: Mercedes as with enormous gas tanks. The whole trunk of 645 00:35:19,080 --> 00:35:21,080 Speaker 1: the car was a gas tank, so you didn't have 646 00:35:21,120 --> 00:35:23,880 Speaker 1: to wait online for gas as long. I don't know 647 00:35:23,920 --> 00:35:27,000 Speaker 1: how that is not a fire hazard, but I guess 648 00:35:27,040 --> 00:35:29,600 Speaker 1: it's the seventies, so nobody cares. It's funny because it's 649 00:35:29,600 --> 00:35:33,399 Speaker 1: like it's so many points Trump is doing. It's not 650 00:35:33,440 --> 00:35:36,600 Speaker 1: always true, but it's often true that Donald Trump does 651 00:35:36,640 --> 00:35:41,719 Speaker 1: things that Nixon, These sort of Nixonian problems. And you know, 652 00:35:41,880 --> 00:35:44,759 Speaker 1: we've seen this how this worked with Nixon, and now 653 00:35:44,800 --> 00:35:47,040 Speaker 1: we're seeing Trump do it, you know, I mean, this 654 00:35:47,160 --> 00:35:48,839 Speaker 1: is just straight out of his play. 655 00:35:49,120 --> 00:35:51,000 Speaker 4: We are. I mean, I think the difference at the 656 00:35:51,080 --> 00:35:54,799 Speaker 4: moment is that Nixon was held to count and it 657 00:35:54,800 --> 00:35:56,799 Speaker 4: was really his own party, and it was it was 658 00:35:56,880 --> 00:36:02,600 Speaker 4: some key Republican legislators switching led to Nixon's resignation. I 659 00:36:02,680 --> 00:36:06,680 Speaker 4: can't see that right now from any serious Republican and 660 00:36:06,960 --> 00:36:08,680 Speaker 4: if it did happen, it would be an act of 661 00:36:08,680 --> 00:36:11,440 Speaker 4: suicide at this point, of political suicide at this point. 662 00:36:11,560 --> 00:36:13,480 Speaker 4: And what we've seen in the media I sort of think, 663 00:36:13,520 --> 00:36:16,799 Speaker 4: I think reflects politics that you get kill Mead, you know, 664 00:36:16,920 --> 00:36:21,480 Speaker 4: saying we can basically kill homeless people, and he gets 665 00:36:21,520 --> 00:36:24,120 Speaker 4: away with an apology, and we see people contributors on 666 00:36:24,160 --> 00:36:27,920 Speaker 4: the non Fox channels saying really basically speaking the truth 667 00:36:28,120 --> 00:36:30,880 Speaker 4: that Kirk was not a lovely human being. 668 00:36:30,920 --> 00:36:33,840 Speaker 1: Right, something Spencer Cox said, right. 669 00:36:34,239 --> 00:36:37,360 Speaker 4: Right exactly. And I think, you know, politics reflects that 670 00:36:37,480 --> 00:36:39,719 Speaker 4: You've got Democrats playing by the rules and like the 671 00:36:39,760 --> 00:36:42,520 Speaker 4: Queensbury rules, and you've got the other side that has 672 00:36:42,600 --> 00:36:44,960 Speaker 4: no rules. They'll bring out, they'll bring a you know, 673 00:36:45,280 --> 00:36:48,080 Speaker 4: a machine gun to a sword fight. And there is 674 00:36:48,080 --> 00:36:50,279 Speaker 4: no chance at the moment that that we'll see a 675 00:36:50,360 --> 00:36:53,440 Speaker 4: Nixon ending to this. That I mean could change. If 676 00:36:53,480 --> 00:36:57,839 Speaker 4: America really plunges into genuine official recession. You know, you 677 00:36:57,920 --> 00:37:01,160 Speaker 4: could see some Republicans regaining their spine. But at the 678 00:37:01,200 --> 00:37:04,040 Speaker 4: moment I'm touching at straws, I just don't see. I 679 00:37:04,040 --> 00:37:07,560 Speaker 4: don't see Republicans. I think they're terrified of Trump, and 680 00:37:07,600 --> 00:37:10,279 Speaker 4: I think they're terrified of MAGA, and I think they 681 00:37:10,320 --> 00:37:11,080 Speaker 4: have reason to be. 682 00:37:11,560 --> 00:37:15,759 Speaker 1: Yeah, I mean, it does strike me that there's going 683 00:37:15,800 --> 00:37:20,600 Speaker 1: to be a moment when this all terms. I mean, 684 00:37:20,640 --> 00:37:24,520 Speaker 1: I don't know if it's six months, six years. If anything, 685 00:37:24,560 --> 00:37:27,560 Speaker 1: If we've seen anything from the last ten years and 686 00:37:27,600 --> 00:37:30,719 Speaker 1: the backlash to backlash to backlash to backlash, it's that 687 00:37:31,120 --> 00:37:34,200 Speaker 1: there is going to be a moment where the American 688 00:37:34,239 --> 00:37:37,160 Speaker 1: people are like, what has happened? 689 00:37:37,640 --> 00:37:40,360 Speaker 4: Yeah, And last time it was COVID. You know, before 690 00:37:40,400 --> 00:37:43,800 Speaker 4: COVID struck, Trump was cruising to reelection. I mean, the 691 00:37:43,920 --> 00:37:46,600 Speaker 4: numbers showed them way ahead. So COVID was a big 692 00:37:46,680 --> 00:37:49,360 Speaker 4: game changer. But because you can't predict all better on 693 00:37:49,440 --> 00:37:52,520 Speaker 4: clobal pandemics and you certainly a wish for them. 694 00:37:52,640 --> 00:37:56,920 Speaker 1: COVID did get us into a real moment where I 695 00:37:56,960 --> 00:37:59,240 Speaker 1: mean a lot of how we got here is COVID. 696 00:37:59,719 --> 00:38:02,040 Speaker 4: Yeah, and it both got rid of Trump but also 697 00:38:02,120 --> 00:38:05,799 Speaker 4: seeded his return. Yeah, I agree with that. COVID is complicated. 698 00:38:05,840 --> 00:38:07,480 Speaker 4: I mean, I think we can agree on it was 699 00:38:07,560 --> 00:38:10,200 Speaker 4: a massive event we still don't fully understand. 700 00:38:10,440 --> 00:38:14,480 Speaker 1: And RFK would not be destroying national health were it 701 00:38:14,600 --> 00:38:15,360 Speaker 1: not for COVID. 702 00:38:15,719 --> 00:38:18,760 Speaker 4: I think that's absolutely correct. I mean, I do think, 703 00:38:18,840 --> 00:38:20,920 Speaker 4: and you know, I know some of them because my 704 00:38:21,000 --> 00:38:23,080 Speaker 4: daughter's friends and stuff. I do think there are some 705 00:38:23,239 --> 00:38:25,919 Speaker 4: young people who were and this surprised us how many 706 00:38:25,960 --> 00:38:28,440 Speaker 4: young people voted for Trump last November, but who had 707 00:38:28,440 --> 00:38:31,839 Speaker 4: had sort of really dead souls a year or two 708 00:38:31,920 --> 00:38:36,279 Speaker 4: of not really learning in the zoomers, who got somehow 709 00:38:36,320 --> 00:38:41,399 Speaker 4: turned off by teachers, unions and CDCs and regulators. When 710 00:38:41,440 --> 00:38:45,000 Speaker 4: Trump was able to weaponize that into vote, and it 711 00:38:45,080 --> 00:38:47,400 Speaker 4: really did take us by surprise. And I guess the 712 00:38:47,520 --> 00:38:51,279 Speaker 4: maestro of that on TikTok was Charlie Kirk. Charlie Kirk 713 00:38:51,400 --> 00:38:53,680 Speaker 4: was really good at reaping that harvest. 714 00:38:54,120 --> 00:38:58,520 Speaker 1: Right. The fundamental problem was people went to the Internet 715 00:38:58,640 --> 00:39:02,160 Speaker 1: for news and people who were producing news on the internet. 716 00:39:02,480 --> 00:39:05,040 Speaker 1: Some were of the left, many were of the right. 717 00:39:05,480 --> 00:39:08,480 Speaker 1: They were able to sort of game things to be 718 00:39:08,600 --> 00:39:12,040 Speaker 1: stickier and have you know, part of it is talent. 719 00:39:12,160 --> 00:39:16,080 Speaker 1: I mean, these guys all had talent and they connected 720 00:39:16,320 --> 00:39:19,400 Speaker 1: with people. I wonder if we could just talk for 721 00:39:19,440 --> 00:39:21,480 Speaker 1: a minute, sort of like, I don't think you get 722 00:39:21,520 --> 00:39:26,719 Speaker 1: to this moment without a real consolidation of news media 723 00:39:26,760 --> 00:39:29,359 Speaker 1: and print media. You know, we write for the FT. 724 00:39:29,719 --> 00:39:33,120 Speaker 1: UK has a lot of newspapers. They're like America but 725 00:39:33,320 --> 00:39:35,640 Speaker 1: in some ways not have a lot of newspapers. You 726 00:39:35,719 --> 00:39:37,560 Speaker 1: have a lot of news, you have a lot of writers, 727 00:39:37,640 --> 00:39:41,560 Speaker 1: you have a lot of it's just very culturally different, smaller, 728 00:39:41,640 --> 00:39:45,040 Speaker 1: but more media. Do you think you guys are better off? 729 00:39:45,600 --> 00:39:48,040 Speaker 4: I would hesitate to say that. I mean, I think 730 00:39:48,080 --> 00:39:52,920 Speaker 4: there is still one factor that keeps the debate within 731 00:39:53,160 --> 00:39:56,960 Speaker 4: slightly less insane parameters, and that is that the BBC 732 00:39:57,560 --> 00:40:01,880 Speaker 4: is something everybody uses, have local news. And you have 733 00:40:01,920 --> 00:40:05,160 Speaker 4: them arguing over representation on BBC, the right and the left, 734 00:40:05,160 --> 00:40:08,760 Speaker 4: but they're arguing about their position in the same public square. 735 00:40:08,960 --> 00:40:12,000 Speaker 4: There is no public square. There are many, many different squares, 736 00:40:12,120 --> 00:40:15,600 Speaker 4: semi privatized squares in America. There isn't that sort of 737 00:40:15,880 --> 00:40:19,919 Speaker 4: old fashioned network era that is totally dead in America. 738 00:40:20,040 --> 00:40:22,400 Speaker 4: So in that respect, I mean it's a very negative 739 00:40:22,400 --> 00:40:24,919 Speaker 4: plus point. But in that because the BBC is being 740 00:40:25,000 --> 00:40:27,520 Speaker 4: sort of it's punch drunk, it just gets beaten up 741 00:40:27,600 --> 00:40:31,000 Speaker 4: left right and center, particularly right they included because they 742 00:40:31,000 --> 00:40:35,200 Speaker 4: got criticized Farage on so many shows. They boosted him 743 00:40:35,200 --> 00:40:38,120 Speaker 4: in kind of the same way that Trump was boosted 744 00:40:38,160 --> 00:40:40,759 Speaker 4: in twenty sixteen by having all is rallies film from 745 00:40:40,800 --> 00:40:43,799 Speaker 4: beginning to end by CNN. And so you know, it's 746 00:40:43,840 --> 00:40:47,880 Speaker 4: not really not an ideal counterexample to Britain. I really 747 00:40:48,000 --> 00:40:50,960 Speaker 4: liked what Governor Cox of Utah said last week that 748 00:40:51,080 --> 00:40:53,920 Speaker 4: social media is a cancer on our society and we 749 00:40:54,400 --> 00:40:56,920 Speaker 4: know this, but we can't ignore it. We have to 750 00:40:56,960 --> 00:40:59,960 Speaker 4: play in that space. But we're aware it's utterly top 751 00:41:00,120 --> 00:41:02,880 Speaker 4: sick and it's bringing out the worst in this and 752 00:41:03,000 --> 00:41:06,759 Speaker 4: slicon Valley and making out like bandits by algorithmrizing our 753 00:41:06,800 --> 00:41:09,759 Speaker 4: most reptilian side of our brains. And we know all 754 00:41:09,800 --> 00:41:13,239 Speaker 4: this is happening, and hopefully as time goes on, we'll 755 00:41:13,239 --> 00:41:17,040 Speaker 4: grapple with it better because if we don't, then it's 756 00:41:17,040 --> 00:41:17,560 Speaker 4: going to get. 757 00:41:17,480 --> 00:41:18,760 Speaker 1: Worse ed loose. 758 00:41:19,000 --> 00:41:27,360 Speaker 4: Thank you, thank you, thank you, such a delight money. 759 00:41:25,160 --> 00:41:30,960 Speaker 1: No second, Jesse Cannon, I jump fast. 760 00:41:31,000 --> 00:41:33,200 Speaker 2: So you know, one of the things, as we've heard 761 00:41:33,200 --> 00:41:36,120 Speaker 2: about how the left is the violent party from people 762 00:41:36,160 --> 00:41:39,200 Speaker 2: like Elon Musk, these studies, in fact show a totally 763 00:41:39,200 --> 00:41:41,920 Speaker 2: different story, which is that the right wing, even when 764 00:41:42,239 --> 00:41:45,000 Speaker 2: the DOJ is broken it down in a way that 765 00:41:45,160 --> 00:41:47,359 Speaker 2: a lot of us question, which is right wing left 766 00:41:47,360 --> 00:41:51,279 Speaker 2: wing in Islamic, the right wing wins by miles. 767 00:41:51,320 --> 00:41:54,879 Speaker 1: Still, Yes, I did see that. It's funny. I saw 768 00:41:54,920 --> 00:41:58,239 Speaker 1: that too, and I was right wing left wing Islamic. 769 00:41:58,360 --> 00:42:00,680 Speaker 1: I was like, hmm, yes, I did see that. 770 00:42:01,280 --> 00:42:03,800 Speaker 2: You know, would you clock it by amounts of attacks? 771 00:42:03,840 --> 00:42:05,719 Speaker 2: And then a lot of people will be like, oh well, 772 00:42:05,760 --> 00:42:08,520 Speaker 2: if you clock it by only measuring three weeks ago, 773 00:42:08,640 --> 00:42:11,360 Speaker 2: then the left wing wins. It's like, okay, yeah, sure, 774 00:42:11,480 --> 00:42:13,799 Speaker 2: every score can be divvied up by a different time. 775 00:42:13,840 --> 00:42:16,239 Speaker 2: Thank you very much. But really, what we've seen is 776 00:42:16,239 --> 00:42:20,000 Speaker 2: that this movement grows increasingly more violent, and now the 777 00:42:20,040 --> 00:42:23,160 Speaker 2: DOJ is showing no study for it anymore. 778 00:42:23,440 --> 00:42:26,239 Speaker 1: Yeah, it's shocking that the facts that do not care 779 00:42:26,320 --> 00:42:29,080 Speaker 1: about their feelings they are getting rid of. There was 780 00:42:29,120 --> 00:42:32,879 Speaker 1: a moment during the Cash Betel hearing when a Democratic 781 00:42:32,920 --> 00:42:36,000 Speaker 1: congressman asked him about Dylan Roof and he did not 782 00:42:36,160 --> 00:42:39,200 Speaker 1: know who he was, or he said, I'm sorry, Dylan Roof, 783 00:42:39,239 --> 00:42:43,000 Speaker 1: can you give me more information? And the member of Congress, 784 00:42:43,160 --> 00:42:46,919 Speaker 1: a woman called camal Or Doves, said, you're the head 785 00:42:47,000 --> 00:42:50,399 Speaker 1: of the FBI, and you know, look, my man has 786 00:42:50,440 --> 00:42:53,760 Speaker 1: been spending a lot of time at MMA fights, spending 787 00:42:53,800 --> 00:42:56,280 Speaker 1: a lot of time with Mel Gibson. But that guy 788 00:42:56,440 --> 00:42:59,640 Speaker 1: Dylan Roof was in fact a white supremacist who killed 789 00:42:59,719 --> 00:43:02,560 Speaker 1: him on people at a black church. Yeah, he may 790 00:43:02,680 --> 00:43:05,399 Speaker 1: or may not know who Dylan Roof is, but it 791 00:43:05,520 --> 00:43:10,120 Speaker 1: behooves him to pretend not to know because then he 792 00:43:10,160 --> 00:43:13,279 Speaker 1: doesn't have to answer. You know, remember Cash Batela is 793 00:43:13,320 --> 00:43:15,919 Speaker 1: doing all of these hearings for an audience of one. 794 00:43:16,280 --> 00:43:18,440 Speaker 2: Yeah, this is like me not knowing how many calories 795 00:43:18,440 --> 00:43:19,080 Speaker 2: are at a stake. 796 00:43:19,400 --> 00:43:25,040 Speaker 1: Yeah. Correct. That's it for this episode of Fast Politics. 797 00:43:25,520 --> 00:43:31,239 Speaker 1: Tune in every Monday, Wednesday, Thursday and Saturday to hear 798 00:43:31,520 --> 00:43:35,880 Speaker 1: the best minds and politics make sense of all this chaos. 799 00:43:36,200 --> 00:43:39,040 Speaker 1: If you enjoy this podcast, please send it to a 800 00:43:39,080 --> 00:43:43,080 Speaker 1: friend and keep the conversation going. Thanks for listening.