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 --> 00:00:11,640 Speaker 1: today's best minds, and President Trump's approval rating on the 4 00:00:11,680 --> 00:00:14,480 Speaker 1: economy has hit a record low of thirty one percent. 5 00:00:15,120 --> 00:00:17,319 Speaker 1: We have such a great show for you today. To 6 00:00:17,520 --> 00:00:21,160 Speaker 1: the contraries, Charlie Syke stops by to talk about Donald 7 00:00:21,160 --> 00:00:26,040 Speaker 1: Trump's unpopular reign over America. Then we'll talk to Jacob 8 00:00:26,079 --> 00:00:30,240 Speaker 1: Silverman about his new book, Gilded Rage and the latest 9 00:00:30,440 --> 00:00:32,560 Speaker 1: in crypto grips. 10 00:00:32,600 --> 00:00:34,200 Speaker 2: But first of the news, smile. 11 00:00:34,520 --> 00:00:37,440 Speaker 3: I have to say, I think this week the big 12 00:00:37,520 --> 00:00:41,280 Speaker 3: story overall is the GOP has gotten the memo that 13 00:00:41,320 --> 00:00:44,400 Speaker 3: Trump is governing very unpopular, and they're doing whatever the 14 00:00:44,440 --> 00:00:45,120 Speaker 3: fuck they want. 15 00:00:45,159 --> 00:00:47,960 Speaker 2: Now, I'm not sure that is mess. 16 00:00:48,240 --> 00:00:49,519 Speaker 4: It's starting to be a trend. 17 00:00:49,600 --> 00:00:53,800 Speaker 1: I think, well, certainly, this Indiana redistricting is a big deal. 18 00:00:54,000 --> 00:00:58,319 Speaker 1: So Donald Trump really wanted to get more seats out 19 00:00:58,360 --> 00:01:01,280 Speaker 1: of Indiana and he was able to do it with Texas. 20 00:01:01,440 --> 00:01:06,520 Speaker 1: Actually think what's more interesting is like Texas are cowards, right, 21 00:01:06,600 --> 00:01:10,679 Speaker 1: like they were just like we will do whatever you want, 22 00:01:10,720 --> 00:01:14,480 Speaker 1: whenever you want it. And what we're seeing here in 23 00:01:14,480 --> 00:01:18,840 Speaker 1: Indiana is Indiana was like nodice And the numbers are 24 00:01:19,319 --> 00:01:23,240 Speaker 1: twenty one Republicans joined with ten Democrats to reject the 25 00:01:23,280 --> 00:01:26,080 Speaker 1: state map, So this is twenty one. That's like a 26 00:01:26,160 --> 00:01:29,240 Speaker 1: lot of Republicans to say no to something. Like you 27 00:01:29,319 --> 00:01:32,880 Speaker 1: think about that for a minute, like that's a lot. 28 00:01:33,080 --> 00:01:36,280 Speaker 1: And when you think about these senate Republicans who were 29 00:01:36,319 --> 00:01:41,280 Speaker 1: such cowards who voted for RFK Junior even though they 30 00:01:41,360 --> 00:01:44,160 Speaker 1: knew he was going to be a disaster, like, yes, 31 00:01:44,280 --> 00:01:47,200 Speaker 1: there is definitely a sea change here, and these are 32 00:01:47,280 --> 00:01:52,280 Speaker 1: like local politicians in a very red state and they 33 00:01:52,360 --> 00:01:55,800 Speaker 1: said no. So it is interesting. I do think Trump 34 00:01:55,840 --> 00:01:59,040 Speaker 1: is less popular, but I also think this redistricting coming 35 00:01:59,080 --> 00:02:02,400 Speaker 1: into states. I mean this is so anti democratic too, 36 00:02:02,920 --> 00:02:06,160 Speaker 1: Like it's just that those Texas Republicans were so craven 37 00:02:06,240 --> 00:02:07,960 Speaker 1: they were happy to do it, agreed. 38 00:02:08,320 --> 00:02:11,720 Speaker 3: So we have new Epstein files photos. Some of them 39 00:02:11,760 --> 00:02:16,000 Speaker 3: are pretty intriguing, particularly though I think it's interesting. There's 40 00:02:16,000 --> 00:02:20,040 Speaker 3: a very interesting poll about Trump's handling of Epstein files, 41 00:02:20,040 --> 00:02:23,520 Speaker 3: and many Republicans are unwavering in their support for him. 42 00:02:23,760 --> 00:02:27,400 Speaker 1: Yeah, so, I mean, again, this is a big question, right, 43 00:02:27,800 --> 00:02:33,320 Speaker 1: So Republicans share of adults who believe Trump knew about 44 00:02:33,320 --> 00:02:37,560 Speaker 1: Epstein's alleged crimes before they were republic Okay, sixty percent 45 00:02:37,600 --> 00:02:40,919 Speaker 1: of all adults, eighty three percent of Democrats, and thirty 46 00:02:41,040 --> 00:02:45,680 Speaker 1: nine percent of Republicans. But I would say that actually 47 00:02:45,760 --> 00:02:47,600 Speaker 1: that's higher than I thought. 48 00:02:47,720 --> 00:02:48,440 Speaker 2: Believe it or not. 49 00:02:48,480 --> 00:02:51,640 Speaker 1: For the Republicans overall, fewer than a quarter of those 50 00:02:51,680 --> 00:02:57,280 Speaker 1: surveyed say they approve of Trump's handling of the Epstein's scandal. 51 00:02:57,400 --> 00:03:00,360 Speaker 1: As of this month, that's up from seventeen percent. So 52 00:03:00,680 --> 00:03:03,079 Speaker 1: what I think it's important to remember here when we 53 00:03:03,120 --> 00:03:07,560 Speaker 1: look at this is there are a percentage of Republicans 54 00:03:07,600 --> 00:03:11,560 Speaker 1: who believe that Trump knew about Epstein's crimes. And I 55 00:03:11,600 --> 00:03:15,720 Speaker 1: think Trump knowing about Epstein's crimes is a pretty provocative statement. 56 00:03:15,919 --> 00:03:17,920 Speaker 2: I'm going to use the word provocative. 57 00:03:17,360 --> 00:03:21,320 Speaker 1: Here because it means that they see that Trump has 58 00:03:21,360 --> 00:03:23,800 Speaker 1: not been on the level about Epstein. Now, does this 59 00:03:23,919 --> 00:03:28,000 Speaker 1: mean they think Donald Trump is doing what Epstein did? 60 00:03:28,120 --> 00:03:32,040 Speaker 1: Maybe not, but it certainly chips away at Trump's bace. 61 00:03:32,200 --> 00:03:34,560 Speaker 1: And you have to remember, like the Venn diagram of 62 00:03:34,639 --> 00:03:39,200 Speaker 1: people who wanted to end q andon right and who 63 00:03:39,240 --> 00:03:44,840 Speaker 1: wanted to elect Donald Trump, and his biggest supporters are 64 00:03:44,880 --> 00:03:47,400 Speaker 1: the people who were obsessed with q and on and 65 00:03:47,440 --> 00:03:49,280 Speaker 1: this is q Andon come true. 66 00:03:50,040 --> 00:03:52,480 Speaker 2: Ergo, it's really relevant. 67 00:03:52,920 --> 00:03:56,120 Speaker 3: It's that book. What prophecy fails is Rearly gets ugly 68 00:03:56,160 --> 00:03:59,760 Speaker 3: head again. Yeah, so yesterday we saw the House do 69 00:03:59,840 --> 00:04:04,360 Speaker 3: so hearings with one Christinome and then Homeland Security official 70 00:04:04,640 --> 00:04:07,920 Speaker 3: on Antifa. And the showings of these hearings from Trump 71 00:04:07,960 --> 00:04:11,000 Speaker 3: officials are usually pretty pathetic. This was I think the 72 00:04:11,080 --> 00:04:13,000 Speaker 3: lowest of woe I've seen personally. 73 00:04:13,280 --> 00:04:18,039 Speaker 1: Okay, FBI leader crumbles during basic questions about Antifa threat. 74 00:04:18,360 --> 00:04:21,960 Speaker 1: So that's the first thing they know, Antifa is really bad, 75 00:04:22,040 --> 00:04:24,799 Speaker 1: but they can't tell you what it is. Democratic Representative 76 00:04:24,800 --> 00:04:29,520 Speaker 1: Benny Thompson explains that it's anti fascism, and then this 77 00:04:29,720 --> 00:04:32,800 Speaker 1: guy from the FBI says it's a big threat, and 78 00:04:32,839 --> 00:04:37,960 Speaker 1: then Thompson as so where is Antifa headquartered. That's a 79 00:04:38,040 --> 00:04:42,760 Speaker 1: great example of something where it's really easy, if you 80 00:04:42,839 --> 00:04:47,359 Speaker 1: are smart, to ask questions that really poke holes in 81 00:04:47,480 --> 00:04:51,320 Speaker 1: some of this propaganda. Right, if Antifa is the biggest 82 00:04:51,320 --> 00:04:55,800 Speaker 1: domestic terrorist organization in America, why doesn't exist? You know? 83 00:04:55,920 --> 00:04:57,160 Speaker 2: And that's what this is. 84 00:04:57,200 --> 00:04:59,800 Speaker 1: So I thought that was he couldn't offer anything concrete 85 00:05:00,240 --> 00:05:02,599 Speaker 1: the answer The answers were fluid. 86 00:05:03,120 --> 00:05:05,239 Speaker 2: I'm going for us right. 87 00:05:05,279 --> 00:05:09,000 Speaker 1: That's because there is no Antifa, because there's no Antifau base, 88 00:05:09,279 --> 00:05:10,720 Speaker 1: because there is no Antifa. 89 00:05:11,200 --> 00:05:12,160 Speaker 4: That is correct. 90 00:05:12,520 --> 00:05:15,280 Speaker 3: But BII, we really really got to get into the 91 00:05:15,360 --> 00:05:16,360 Speaker 3: Christino appearance. 92 00:05:16,400 --> 00:05:17,520 Speaker 4: It was so funny. 93 00:05:18,000 --> 00:05:19,840 Speaker 2: She was like, Okay, but I have to go. 94 00:05:21,640 --> 00:05:23,080 Speaker 4: To a meeting that was canceled. 95 00:05:23,600 --> 00:05:27,239 Speaker 1: What's rever Well, it's also like, this is your job, 96 00:05:27,400 --> 00:05:31,320 Speaker 1: Like you can't multitask congressional hearings. And it's a great 97 00:05:31,360 --> 00:05:34,600 Speaker 1: example of like why congressional hearings are important and why 98 00:05:34,680 --> 00:05:38,039 Speaker 1: even if you're not in the majority, Like so often 99 00:05:38,200 --> 00:05:41,680 Speaker 1: you'll have people will say, well, you know you're not 100 00:05:41,800 --> 00:05:44,479 Speaker 1: in the majority, so you can't really do anything or 101 00:05:44,560 --> 00:05:47,599 Speaker 1: dah da da da. But the truth is, honestly, no, 102 00:05:47,839 --> 00:05:51,560 Speaker 1: man like this kind of stuff, Like these corrupt, trumpy 103 00:05:51,600 --> 00:05:55,400 Speaker 1: people really do kind of cave when you push back 104 00:05:55,520 --> 00:05:57,440 Speaker 1: or when you have hearings, and it freaks them out. 105 00:05:57,520 --> 00:05:58,120 Speaker 2: So do it. 106 00:05:59,440 --> 00:06:02,600 Speaker 3: So let's talk about another one of the silliest wars 107 00:06:02,600 --> 00:06:05,599 Speaker 3: of the many wars in America these days, the war 108 00:06:05,680 --> 00:06:09,640 Speaker 3: on Jerome Powell. Jerome really embarrassed mister Trump this week. 109 00:06:09,839 --> 00:06:13,159 Speaker 1: Yeah, so let's talk about this, Jerome pal says, the 110 00:06:13,160 --> 00:06:17,039 Speaker 1: economy probably isn't as good as the government claims. I'm 111 00:06:17,040 --> 00:06:20,400 Speaker 1: going to say like he probably did this because Jerome 112 00:06:20,400 --> 00:06:24,560 Speaker 1: Poalell is like a pretty careful guy, and my guess 113 00:06:24,720 --> 00:06:27,599 Speaker 1: is that he has some insight into this that we're 114 00:06:27,600 --> 00:06:28,119 Speaker 1: not seeing. 115 00:06:28,440 --> 00:06:30,800 Speaker 2: He said that staffers at the Fed think the government 116 00:06:30,839 --> 00:06:34,000 Speaker 2: could be overestimating the number of jobs created, and he 117 00:06:34,080 --> 00:06:37,480 Speaker 2: thinks they're overestimating by about sixty thousand each month. If 118 00:06:37,480 --> 00:06:40,760 Speaker 2: he is saying that, then he probably knews what he's 119 00:06:40,800 --> 00:06:43,719 Speaker 2: talking about. We think there's an overstatement in these numbers, 120 00:06:43,760 --> 00:06:47,400 Speaker 2: Pal says. And then you'll remember Trump is he did 121 00:06:47,560 --> 00:06:51,640 Speaker 2: fire the head of the Bureau in Labor Statistics when 122 00:06:51,920 --> 00:06:55,359 Speaker 2: he didn't like what he published. The Trump administration is 123 00:06:55,440 --> 00:06:56,320 Speaker 2: kind of obsessed. 124 00:06:56,520 --> 00:07:02,000 Speaker 1: Commerce Secretary Howard Luttne scrambled to blame Democrats and deflect 125 00:07:02,120 --> 00:07:09,880 Speaker 1: blame from the tariffs, because of course he did. Over 126 00:07:10,120 --> 00:07:14,280 Speaker 1: at our YouTube channel, we have some really exciting stuff. 127 00:07:14,440 --> 00:07:17,800 Speaker 1: Jesse and I have made a documentary. It's called Project 128 00:07:17,800 --> 00:07:22,440 Speaker 1: twenty twenty nine, A Reimagining. It's a series about how 129 00:07:22,560 --> 00:07:27,640 Speaker 1: democrats can deliver popular policies when they regain power. The 130 00:07:27,720 --> 00:07:31,280 Speaker 1: first episode is up now. It's the first part of 131 00:07:31,360 --> 00:07:34,160 Speaker 1: the series, and we're going to examine what went wrong 132 00:07:34,840 --> 00:07:39,640 Speaker 1: with some of the Biden administration's approach to policies that 133 00:07:39,840 --> 00:07:44,640 Speaker 1: may have prevented Democrats from being able to deliver the 134 00:07:44,920 --> 00:07:51,400 Speaker 1: broad anti corruption legislation that needed to happen, and by 135 00:07:51,440 --> 00:07:55,720 Speaker 1: the way, that would have prevented some of the corruption 136 00:07:55,800 --> 00:07:59,280 Speaker 1: we're seeing right now. The first episode dives deep into 137 00:07:59,480 --> 00:08:04,520 Speaker 1: the first step of fixing American politics. It may sound unsexy, 138 00:08:04,640 --> 00:08:08,360 Speaker 1: but it's a big, important issue, and that big subject 139 00:08:08,600 --> 00:08:12,920 Speaker 1: is campaign finance reform. For this episode, we talk to 140 00:08:13,120 --> 00:08:18,320 Speaker 1: some of the smartest people we know, professors and academics, 141 00:08:18,440 --> 00:08:25,200 Speaker 1: people like Lawrence Lessig, Tiffany Muller, Michael Waldman, and Tom Moore. 142 00:08:25,520 --> 00:08:29,720 Speaker 1: Republicans were prepared for when they got the levers of power. 143 00:08:30,120 --> 00:08:35,360 Speaker 1: Democrats need that same kind of preparation. That's why we 144 00:08:35,480 --> 00:08:38,760 Speaker 1: need to start the conversation on how Democrats can do 145 00:08:38,800 --> 00:08:42,520 Speaker 1: the same thing. So please head over to our YouTube 146 00:08:42,600 --> 00:08:47,319 Speaker 1: channel and search Molli Jong Fast Project twenty twenty nine 147 00:08:47,559 --> 00:08:51,880 Speaker 1: or go to the Fast Politics YouTube channel page and 148 00:08:51,920 --> 00:08:54,760 Speaker 1: you'll find it there and help us spread the word 149 00:08:55,120 --> 00:09:00,839 Speaker 1: and stay tuned for more episodes. Charlie Sykes is the 150 00:09:00,880 --> 00:09:03,679 Speaker 1: author of the Newsletter to the Contrary and the book 151 00:09:03,760 --> 00:09:07,520 Speaker 1: How the Right Lost Its Mind. Welcome back to fath Politics. 152 00:09:07,600 --> 00:09:08,520 Speaker 1: Charlie Sykes. 153 00:09:08,679 --> 00:09:11,040 Speaker 5: Hey, sorry that we don't have anything to talk about today. 154 00:09:11,520 --> 00:09:16,199 Speaker 1: Unbelievable, so bad. We got this dump of photos. I'm 155 00:09:16,200 --> 00:09:18,480 Speaker 1: going to read to you from the Daily Mail because 156 00:09:18,720 --> 00:09:21,800 Speaker 1: whenever you are whenever you think that The Daily Mail 157 00:09:21,920 --> 00:09:26,200 Speaker 1: is just fun gossip, it's always worth remembering that it's 158 00:09:26,240 --> 00:09:32,040 Speaker 1: in fact right wing poplum. Yeah, Democrats selectively released the 159 00:09:32,080 --> 00:09:34,880 Speaker 1: images from a collection of ninety five thousand from the 160 00:09:35,040 --> 00:09:39,440 Speaker 1: estate selectively, but they selected the one with Bill Clinton 161 00:09:39,480 --> 00:09:39,680 Speaker 1: in it. 162 00:09:40,160 --> 00:09:42,800 Speaker 5: Yeah, look, that's that's kind of the White House spin. 163 00:09:43,080 --> 00:09:44,880 Speaker 5: But at least they're not saying that they're fake or 164 00:09:44,920 --> 00:09:47,720 Speaker 5: their phony. But you know, it's just it's it's never 165 00:09:47,760 --> 00:09:52,080 Speaker 5: a good thing when your picture is taken associated with Epstein. 166 00:09:52,160 --> 00:09:54,360 Speaker 5: And you know, you and I have talked about this. 167 00:09:54,440 --> 00:09:58,760 Speaker 5: There there's a reason why Donald Trump and Mike Johnson 168 00:09:58,800 --> 00:10:02,840 Speaker 5: thought so hard not to have these files released. This 169 00:10:02,960 --> 00:10:05,840 Speaker 5: is just not a good thing for anybody's reputation. I mean, look, 170 00:10:05,880 --> 00:10:08,640 Speaker 5: so Bill Clinton's in there, and Prince Andrew's in there 171 00:10:09,000 --> 00:10:11,199 Speaker 5: and Steve Bannon, by the way, How how has Steve 172 00:10:11,280 --> 00:10:14,720 Speaker 5: Bannon not been roped into this thing earlier? I mean, 173 00:10:15,520 --> 00:10:18,199 Speaker 5: the blast radius keeps getting bigger and bigger, doesn't it. 174 00:10:18,480 --> 00:10:23,720 Speaker 1: They're taking mirror selfies of Steve Bannon and Jeff app 175 00:10:23,920 --> 00:10:26,480 Speaker 1: focusing at each and focusing on each other. 176 00:10:26,520 --> 00:10:30,280 Speaker 5: In the mirror, completely innocent, nothing going on here, nothing 177 00:10:30,360 --> 00:10:34,280 Speaker 5: to see. So again, what's what's the fallout on this? 178 00:10:34,400 --> 00:10:36,160 Speaker 5: I don't know it. It's kind of funny. Right before 179 00:10:36,200 --> 00:10:38,600 Speaker 5: we began taping, I got this call from my my 180 00:10:38,720 --> 00:10:42,240 Speaker 5: daughter lives in France, who says, Dad, what is this 181 00:10:42,280 --> 00:10:44,440 Speaker 5: Epstein thing about? What what's the fallout going to be? 182 00:10:44,440 --> 00:10:46,480 Speaker 5: And I said, I hadn't actually seen the dump yet, 183 00:10:46,800 --> 00:10:49,880 Speaker 5: but you know, internationally people are all wondering. That's that's 184 00:10:49,920 --> 00:10:52,240 Speaker 5: the big question. Does this go anywhere? Have we seen 185 00:10:52,240 --> 00:10:56,280 Speaker 5: anything we didn't see before? And there's something about, you know, 186 00:10:56,360 --> 00:11:00,600 Speaker 5: having the pictures that again, if if you're any politician 187 00:11:00,600 --> 00:11:03,200 Speaker 5: other than Donald Trump, could be career ending. But then 188 00:11:03,240 --> 00:11:04,080 Speaker 5: it's Donald Trump. 189 00:11:04,240 --> 00:11:05,840 Speaker 2: I think that it's pretty interesting. 190 00:11:06,120 --> 00:11:09,400 Speaker 1: Bill Gates and Woody Allen aren't a lot of the pictures, 191 00:11:09,400 --> 00:11:12,000 Speaker 1: but the picture that I wanted to talk about was 192 00:11:12,040 --> 00:11:15,160 Speaker 1: this picture the president is seen posing with six women 193 00:11:15,760 --> 00:11:19,880 Speaker 1: whose identities have all been redacted, And that feels like 194 00:11:20,320 --> 00:11:25,160 Speaker 1: just a really important bit to talk about because. 195 00:11:24,960 --> 00:11:27,600 Speaker 2: If you think about any you know, even if you 196 00:11:27,720 --> 00:11:28,560 Speaker 2: had I. 197 00:11:28,440 --> 00:11:32,760 Speaker 1: Mean Gavin Newsom made at French laundry, right, you all 198 00:11:32,800 --> 00:11:37,240 Speaker 1: know that they had a recall election, you know, like, 199 00:11:37,559 --> 00:11:40,640 Speaker 1: talk to me about in the years of covering and 200 00:11:40,800 --> 00:11:46,040 Speaker 1: also being someone who who has lived in the Republican spaces, 201 00:11:46,080 --> 00:11:48,160 Speaker 1: I mean what Trump has. I mean, there aren't even 202 00:11:48,200 --> 00:11:50,080 Speaker 1: Republican politicians who could do this. 203 00:11:50,520 --> 00:11:52,480 Speaker 5: No, there's not. And you have to go back to 204 00:11:52,880 --> 00:11:56,640 Speaker 5: October seventh, twenty sixteen. That was the day that the 205 00:11:56,640 --> 00:12:01,240 Speaker 5: Excess Hollywood video was released. And back in that you know, 206 00:12:01,320 --> 00:12:04,200 Speaker 5: kinder gentler time, everybody thought that would be career ending 207 00:12:04,280 --> 00:12:06,880 Speaker 5: because for any other politician it would be a lot 208 00:12:06,880 --> 00:12:09,319 Speaker 5: of Republicans backed away. But but well, you know what's 209 00:12:09,360 --> 00:12:12,640 Speaker 5: happened since then. You've had Republicans who swallowed one thing 210 00:12:12,679 --> 00:12:15,360 Speaker 5: after another, and look, a lot of this stuff is 211 00:12:15,360 --> 00:12:18,400 Speaker 5: baked in. You know, this is a party that that 212 00:12:18,400 --> 00:12:20,679 Speaker 5: that's stuck with the guy who you know, bragged about, 213 00:12:20,720 --> 00:12:24,240 Speaker 5: you know, grabbing women by the private parts and having 214 00:12:24,280 --> 00:12:27,640 Speaker 5: sex with the wives of his friends. And obviously the 215 00:12:28,160 --> 00:12:32,040 Speaker 5: jury finding him liable for sexual assault didn't face them. 216 00:12:32,040 --> 00:12:34,400 Speaker 5: The what is it two dozen women who come forward 217 00:12:34,400 --> 00:12:36,319 Speaker 5: and say he molested them? So you know, this is 218 00:12:36,360 --> 00:12:38,480 Speaker 5: part of the thing, is that, I mean, you've known 219 00:12:38,520 --> 00:12:42,640 Speaker 5: that Donald Trump has been a horn dog for decades, right, 220 00:12:42,840 --> 00:12:46,679 Speaker 5: So what what pushes it across the line for Republicans? 221 00:12:46,760 --> 00:12:49,440 Speaker 5: Quite frankly, I almost can't imagine what it would be 222 00:12:50,200 --> 00:12:53,080 Speaker 5: unless you actually catch him on pleagonte with with an 223 00:12:53,160 --> 00:12:55,080 Speaker 5: underage girl. And I'm not even sure that would do 224 00:12:55,120 --> 00:12:56,680 Speaker 5: it for some of these folks. 225 00:12:57,040 --> 00:13:00,240 Speaker 1: Yeah, I mean, I also think you don't need to 226 00:13:00,760 --> 00:13:04,480 Speaker 1: You don't necessarily need to have like jd. Vance disavowed Trump, 227 00:13:04,600 --> 00:13:08,840 Speaker 1: that's never happening. You just can chip away at ten 228 00:13:09,960 --> 00:13:13,240 Speaker 1: five percent. You know, people who go like this guy 229 00:13:13,320 --> 00:13:16,920 Speaker 1: told me QAnon was real, and all of a sudden, 230 00:13:17,000 --> 00:13:20,360 Speaker 1: now I'm seeing pictures of him with Jeffrey Epstein and 231 00:13:20,440 --> 00:13:22,400 Speaker 1: all these women with their face redacted. 232 00:13:23,000 --> 00:13:25,199 Speaker 5: Well, and again, of course, the big irony is that 233 00:13:25,320 --> 00:13:29,320 Speaker 5: it was a Trump world that elevated this story to 234 00:13:29,440 --> 00:13:31,560 Speaker 5: where it is. The reason we're talking about this is 235 00:13:31,559 --> 00:13:34,120 Speaker 5: because for years they were talking about this ring of 236 00:13:34,640 --> 00:13:37,000 Speaker 5: pedophiles and sex traffickers, and this was going to be 237 00:13:37,040 --> 00:13:39,360 Speaker 5: the big thing. And you had you know, Cash Bettell 238 00:13:39,400 --> 00:13:42,400 Speaker 5: and Dan Mangino saying we're going to release those files. 239 00:13:42,400 --> 00:13:45,360 Speaker 5: And earlier this year, you remember, earlier this year, Pam 240 00:13:45,400 --> 00:13:48,680 Speaker 5: Bondi was going to release them. So they have been 241 00:13:48,760 --> 00:13:52,480 Speaker 5: the hype squad on these Epstein files four years and 242 00:13:52,520 --> 00:13:56,160 Speaker 5: now well it's there's kind of a weird karma going 243 00:13:56,200 --> 00:14:00,520 Speaker 5: on here. Again. Look, the appetite of Republicans for breaking 244 00:14:00,559 --> 00:14:02,720 Speaker 5: with Trump, you know, continues to be limited. Although look 245 00:14:03,200 --> 00:14:05,760 Speaker 5: that vote on the Epstein releasing the Epstein files was 246 00:14:05,840 --> 00:14:08,360 Speaker 5: kind of a break the last moment, even for people 247 00:14:08,360 --> 00:14:11,439 Speaker 5: like Marjorie Taylor Green. I mean you trace back that 248 00:14:11,559 --> 00:14:16,880 Speaker 5: moment when things started cracking, that would be it. Yeah, 249 00:14:16,920 --> 00:14:20,680 Speaker 5: and you're seeing more and Mormon every day. I'm reading 250 00:14:20,680 --> 00:14:25,920 Speaker 5: about Republicans signing discharge petitions or defying Trump. I mean, 251 00:14:26,000 --> 00:14:29,680 Speaker 5: it's still small, it's still still straws in the wind, indeed, 252 00:14:29,720 --> 00:14:33,280 Speaker 5: but it's happening. India, Adam, that's a big fucking deal. 253 00:14:33,360 --> 00:14:35,200 Speaker 5: I'm sorry, that is that is a big story. 254 00:14:35,360 --> 00:14:37,040 Speaker 2: Yeah, let's talk about that. 255 00:14:37,080 --> 00:14:42,160 Speaker 1: We had twenty one, Republicans vote with the Democrats against 256 00:14:42,200 --> 00:14:46,000 Speaker 1: this partisan redistricting which Trump had sent jade Vans there twice. 257 00:14:46,520 --> 00:14:49,840 Speaker 5: Well, and the level of threats can't be overstated. I mean, 258 00:14:49,920 --> 00:14:51,880 Speaker 5: did you do you see that thing from Heritage Action 259 00:14:52,000 --> 00:14:54,280 Speaker 5: where they basically said, the President's made it clear that 260 00:14:54,320 --> 00:14:56,800 Speaker 5: if you don't do what he's what he wants, he's 261 00:14:56,840 --> 00:14:59,760 Speaker 5: going to cut off all federal funds to the state 262 00:14:59,800 --> 00:15:04,440 Speaker 5: of Indiana. You have the White House basically extorting an 263 00:15:04,600 --> 00:15:08,240 Speaker 5: entire state that if you don't give me this political win, 264 00:15:08,560 --> 00:15:10,920 Speaker 5: I'm going to cut off your road aid, you know, 265 00:15:11,040 --> 00:15:15,280 Speaker 5: closed down your National Guard, you know, the guard centers 266 00:15:15,320 --> 00:15:16,760 Speaker 5: and all of these things. Whether it was Coast go, 267 00:15:16,760 --> 00:15:18,720 Speaker 5: I don't know what it was. But you know, it 268 00:15:18,760 --> 00:15:22,320 Speaker 5: occurs to me that before we get to Republican courage, 269 00:15:22,400 --> 00:15:26,040 Speaker 5: we've been so nun that this act of of raw 270 00:15:26,160 --> 00:15:29,240 Speaker 5: political extortion isn't considered a crime in and of itself. 271 00:15:29,280 --> 00:15:33,000 Speaker 5: I mean, who threatens an entire state because of political actions? 272 00:15:33,560 --> 00:15:37,520 Speaker 5: But these Republicans stood up to Donald Trump. They defied 273 00:15:37,560 --> 00:15:40,480 Speaker 5: Donald Trump. And I think one of the keys is 274 00:15:40,520 --> 00:15:45,000 Speaker 5: that his bullying tactics backfired. And number two, there were 275 00:15:45,000 --> 00:15:46,800 Speaker 5: a bunch of them. As you point out, this was 276 00:15:46,840 --> 00:15:49,080 Speaker 5: collective action. And that's the thing that we've been missing 277 00:15:49,400 --> 00:15:53,360 Speaker 5: in terms of the Republicans creating critical mass of Republicans 278 00:15:53,400 --> 00:15:55,920 Speaker 5: willing to stand up against him. Trump can pick off 279 00:15:55,960 --> 00:15:58,520 Speaker 5: one or two, you know, if it's just Liz Cheney 280 00:15:58,600 --> 00:16:00,520 Speaker 5: or if just Adam Kinsinger, you can, he can, he 281 00:16:00,560 --> 00:16:02,720 Speaker 5: can take them on. But when it starts to be 282 00:16:03,120 --> 00:16:07,080 Speaker 5: Whinny State senators, they kind of got each other's back. 283 00:16:07,520 --> 00:16:10,160 Speaker 5: So this was a huge defeat for Donald Trump. And 284 00:16:10,240 --> 00:16:12,840 Speaker 5: it's a reminder to other Republicans, you know what, you 285 00:16:13,240 --> 00:16:15,480 Speaker 5: actually can say no to him. You can't tell Donald 286 00:16:15,680 --> 00:16:16,440 Speaker 5: Trump to stuff it. 287 00:16:16,600 --> 00:16:16,800 Speaker 2: Yeah. 288 00:16:16,840 --> 00:16:18,680 Speaker 1: I think it's a really important point. And you know 289 00:16:18,720 --> 00:16:22,640 Speaker 1: when you talk to experts on authoritarianism, they always say 290 00:16:22,680 --> 00:16:26,800 Speaker 1: something to that effect, right, like one person is going 291 00:16:26,880 --> 00:16:30,760 Speaker 1: to be easy to you know, go around, but twenty. 292 00:16:30,920 --> 00:16:34,200 Speaker 1: And that's the thing about the universities. If you're negotiating 293 00:16:34,360 --> 00:16:37,160 Speaker 1: just with Harvard, that's one thing, But if you're negotiating 294 00:16:37,160 --> 00:16:39,720 Speaker 1: with all the ivy's or all the state schools or 295 00:16:40,240 --> 00:16:43,200 Speaker 1: and I think that is what we're seeing. The only 296 00:16:43,320 --> 00:16:47,000 Speaker 1: successful way to push back against trump Ism is in mass. 297 00:16:47,440 --> 00:16:50,000 Speaker 5: That's what that's that's right, and and and I think 298 00:16:50,040 --> 00:16:53,040 Speaker 5: that look, a lot of Trump's power this year has 299 00:16:53,120 --> 00:16:56,680 Speaker 5: been based on the perception that he was irresistible. That 300 00:16:57,080 --> 00:16:58,960 Speaker 5: you know, I mean, that's what the law firms told themselves. 301 00:16:59,000 --> 00:17:02,280 Speaker 5: That's with the universities were telling themselves. It's Republicans. And 302 00:17:02,360 --> 00:17:05,080 Speaker 5: the moment you begin to realize, you know, maybe maybe 303 00:17:05,119 --> 00:17:08,000 Speaker 5: he can't do all of this stuff, that power begins 304 00:17:08,000 --> 00:17:10,320 Speaker 5: to fade. Now again, you know that I always cautioned 305 00:17:10,320 --> 00:17:14,560 Speaker 5: against irrational exuberance. He still he still is unchained. He 306 00:17:14,680 --> 00:17:16,959 Speaker 5: still is moving at ramming speed. 307 00:17:17,640 --> 00:17:17,880 Speaker 2: Yeah. 308 00:17:17,920 --> 00:17:21,480 Speaker 5: But in just in coms of law authoritarianism, the way 309 00:17:21,520 --> 00:17:27,199 Speaker 5: in which he uses blackmail and extortion to force governments 310 00:17:27,240 --> 00:17:30,439 Speaker 5: and private companies to bend to his will. I'm guessing 311 00:17:30,520 --> 00:17:34,240 Speaker 5: that somewhere in Budapest, Victor ORBN is thinking, shit, why 312 00:17:34,240 --> 00:17:36,399 Speaker 5: didn't I do that sooner? Why didn't I think of 313 00:17:36,440 --> 00:17:39,080 Speaker 5: that sort of thing? Yeah, and this is this is 314 00:17:39,119 --> 00:17:43,640 Speaker 5: not theoretical. This is actually happening and has happened. We've 315 00:17:43,680 --> 00:17:45,520 Speaker 5: already crossed those red lines. 316 00:17:45,920 --> 00:17:48,600 Speaker 2: Yeah. Yeah, I think that's a really good point. 317 00:17:48,920 --> 00:17:52,240 Speaker 1: And I also think it's it's important to remember that 318 00:17:52,920 --> 00:17:57,280 Speaker 1: the what happened with the law firms was sort of corporatey. 319 00:17:57,640 --> 00:18:01,239 Speaker 1: Lawyers worried about they were going to use clients, right, 320 00:18:01,280 --> 00:18:03,480 Speaker 1: that are other people going to get theirs? And then 321 00:18:03,520 --> 00:18:07,199 Speaker 1: what happened with the businesses was, you know, tech bros 322 00:18:07,240 --> 00:18:12,280 Speaker 1: who wanted government approvals, regulatory approvals, either for technology building 323 00:18:12,400 --> 00:18:16,440 Speaker 1: or for mergers. So it is like the people who 324 00:18:16,480 --> 00:18:18,880 Speaker 1: have really behaved in the most craven way is are 325 00:18:18,880 --> 00:18:22,679 Speaker 1: people who were incentivized by capitalism to some extent. 326 00:18:22,760 --> 00:18:24,679 Speaker 2: Not that I'm anti capitalist. 327 00:18:24,359 --> 00:18:27,760 Speaker 5: No, no, they were, and they could tell themselves with 328 00:18:28,160 --> 00:18:30,600 Speaker 5: some reason that this was the smart play. You get 329 00:18:30,600 --> 00:18:33,760 Speaker 5: billion dollar deals approved, you get corporate welfare, you get 330 00:18:33,760 --> 00:18:35,800 Speaker 5: a whole bunch of stuff. But this sort of thing, 331 00:18:35,880 --> 00:18:39,960 Speaker 5: you know, paying off and buying off the White House 332 00:18:40,080 --> 00:18:43,200 Speaker 5: is the smart move until it's not the smart move. 333 00:18:43,320 --> 00:18:45,440 Speaker 5: I thought, and I've said this before, so I'm sorry 334 00:18:45,480 --> 00:18:47,560 Speaker 5: to repeat myself, but I thought it was very interest 335 00:18:47,680 --> 00:18:51,000 Speaker 5: when Jamie Diamond, you know, the CEO of JP Morgan, said, 336 00:18:51,000 --> 00:18:54,200 Speaker 5: you know, we're not contributing to that big golden ballroom, 337 00:18:54,640 --> 00:18:57,160 Speaker 5: because there might come a time when there's a Department 338 00:18:57,320 --> 00:18:59,800 Speaker 5: of Justice is not controlled by Donald Trump, might be 339 00:19:00,080 --> 00:19:02,600 Speaker 5: rolled by Democrats, and they might come back to us 340 00:19:02,640 --> 00:19:05,080 Speaker 5: and say that looks like you were trying to buy influence. 341 00:19:05,320 --> 00:19:08,120 Speaker 5: There may be a time when this sort of thing, 342 00:19:08,480 --> 00:19:11,280 Speaker 5: you know, might not look like the smart move, in fact, 343 00:19:11,359 --> 00:19:13,600 Speaker 5: might put you in some sort of legal jeopardy. I 344 00:19:13,640 --> 00:19:17,200 Speaker 5: thought that was an interesting development that people began to think, 345 00:19:17,320 --> 00:19:20,959 Speaker 5: you know, this is not forever. You may think that 346 00:19:21,040 --> 00:19:24,680 Speaker 5: you've gained the system, but Donald Trump is not going 347 00:19:24,720 --> 00:19:27,800 Speaker 5: to be there forever handing out the fear and favor 348 00:19:27,840 --> 00:19:30,800 Speaker 5: and the grift and all of those things. So again, 349 00:19:31,080 --> 00:19:33,600 Speaker 5: I don't know, but the story in Indiana, the kinds 350 00:19:33,600 --> 00:19:37,080 Speaker 5: of threats, the kind of pressure that was brought against them, 351 00:19:37,480 --> 00:19:39,680 Speaker 5: and the fact that they stood up and said no. 352 00:19:40,560 --> 00:19:44,159 Speaker 5: And you can see that the Trump knows that's a 353 00:19:44,240 --> 00:19:48,760 Speaker 5: huge defeat because the rage in Maga, the threats from 354 00:19:48,880 --> 00:19:52,000 Speaker 5: JD Van's are pretty unhinged. 355 00:19:52,119 --> 00:19:56,520 Speaker 1: But also good on Jamie Diamond for saying that, because 356 00:19:57,240 --> 00:20:00,639 Speaker 1: you know, we see have seen so many I mean, 357 00:20:00,680 --> 00:20:04,520 Speaker 1: the richest man in the world, right and Mark Zuckerberg, 358 00:20:04,600 --> 00:20:09,040 Speaker 1: you know, people who and even like Jeff Bezos, who 359 00:20:09,119 --> 00:20:13,080 Speaker 1: could easily have said no. Is like now the Washington 360 00:20:13,080 --> 00:20:15,160 Speaker 1: Post just covers free markets. 361 00:20:15,400 --> 00:20:17,399 Speaker 5: There's so much free markets from Donald Trump. 362 00:20:17,680 --> 00:20:18,159 Speaker 1: I know. 363 00:20:18,359 --> 00:20:20,159 Speaker 5: I mean, look, I mean I feel like we've had 364 00:20:20,200 --> 00:20:22,280 Speaker 5: this discussion before, but I mean, these are people who 365 00:20:22,359 --> 00:20:24,600 Speaker 5: have fuck you money, and yet when it came right 366 00:20:24,640 --> 00:20:26,760 Speaker 5: down to it, you know, instead of saying fuck you, 367 00:20:26,800 --> 00:20:29,680 Speaker 5: they said, oh, yes, sir, yes, sir, I have another one. 368 00:20:29,760 --> 00:20:33,960 Speaker 5: And that, unfortunately also creates that collective action that when 369 00:20:34,200 --> 00:20:35,960 Speaker 5: the rich guys look around, going, well, if you're not 370 00:20:36,000 --> 00:20:37,560 Speaker 5: going to stand up against him, I'm not going to 371 00:20:37,640 --> 00:20:39,960 Speaker 5: stand up against him. I mean, this is again, you 372 00:20:40,040 --> 00:20:44,720 Speaker 5: know what happened in Indiana was you did have collective 373 00:20:44,960 --> 00:20:48,440 Speaker 5: action critical mass. If you had that with the universities, 374 00:20:48,480 --> 00:20:49,879 Speaker 5: if you had that with the law firms, if you 375 00:20:49,960 --> 00:20:54,000 Speaker 5: had that with civil society, Donald Trump would not have 376 00:20:54,080 --> 00:20:55,880 Speaker 5: been able to do a lot of things he's done 377 00:20:56,040 --> 00:20:58,200 Speaker 5: or plans to do in the future. So it's really 378 00:20:58,200 --> 00:21:01,280 Speaker 5: important to keep emphasizing that that you can't leave these 379 00:21:01,320 --> 00:21:03,679 Speaker 5: guys alone twisting in the wind. 380 00:21:03,640 --> 00:21:06,720 Speaker 1: Right exactly, and that they are meaningful and important and 381 00:21:06,760 --> 00:21:08,720 Speaker 1: what they did was meaningful and important. That it was 382 00:21:08,800 --> 00:21:11,480 Speaker 1: and in many ways braver than Liz Cheney, because Liz 383 00:21:11,560 --> 00:21:16,240 Speaker 1: Cheney is a big celebrity who lives in Washington, d C. 384 00:21:16,440 --> 00:21:20,719 Speaker 1: These guys are like, just like state legislators who are 385 00:21:20,760 --> 00:21:24,639 Speaker 1: not making a gazillion dollars, who cannot afford necessarily to 386 00:21:24,760 --> 00:21:26,560 Speaker 1: have you know, they're not going to get a book deal, 387 00:21:26,600 --> 00:21:29,080 Speaker 1: They're not gonna you know, be on television shows. 388 00:21:29,240 --> 00:21:30,560 Speaker 5: Yeah, and they don't care about it. I mean, these 389 00:21:30,600 --> 00:21:34,000 Speaker 5: are Midwestern hoosiers, right, and you know, and maybe that's 390 00:21:34,040 --> 00:21:35,719 Speaker 5: why they were willing to say no, because they had 391 00:21:35,760 --> 00:21:38,119 Speaker 5: less to lose. I mean, the thing about Donald Trump 392 00:21:38,200 --> 00:21:40,159 Speaker 5: is He's figured out I can bully the people who 393 00:21:40,240 --> 00:21:41,879 Speaker 5: have the most to lose, you know, if you're a 394 00:21:41,960 --> 00:21:43,960 Speaker 5: llegited I don't by the way, you even know how 395 00:21:44,040 --> 00:21:46,639 Speaker 5: much an Indiana senator gets paid. I'm guessing it's not 396 00:21:46,680 --> 00:21:47,439 Speaker 5: a lot of money. 397 00:21:47,520 --> 00:21:47,720 Speaker 1: Yeah. 398 00:21:48,280 --> 00:21:51,320 Speaker 5: And these guys have families, they have homes, they have businesses, 399 00:21:51,320 --> 00:21:53,560 Speaker 5: they have lies, and many of them might think, you 400 00:21:53,560 --> 00:21:55,320 Speaker 5: know what, I just don't need this. I just don't 401 00:21:55,359 --> 00:21:56,040 Speaker 5: need this stuff. 402 00:21:56,320 --> 00:22:01,040 Speaker 1: I wonder when we talk about this and the redistricting. 403 00:22:01,400 --> 00:22:04,520 Speaker 1: We saw this on Tuesday with some of the elections, 404 00:22:05,280 --> 00:22:08,960 Speaker 1: there is a real chance that there will be dummymandering 405 00:22:09,040 --> 00:22:13,480 Speaker 1: happening that with how unpopular trumpsm is right, I mean, 406 00:22:13,880 --> 00:22:19,000 Speaker 1: we could see this redistricting actually end up helping Democrats. 407 00:22:19,320 --> 00:22:21,520 Speaker 5: Actually, that could happen. I mean, this would be one 408 00:22:21,560 --> 00:22:24,040 Speaker 5: of the great ironies, right that this thing could boomerang 409 00:22:24,200 --> 00:22:26,359 Speaker 5: on them, because one of the things they're doing is 410 00:22:26,400 --> 00:22:28,719 Speaker 5: they were assuming, was they were redrawing those lines, that 411 00:22:29,080 --> 00:22:31,760 Speaker 5: the electoral trends that you saw in twenty twenty four 412 00:22:31,800 --> 00:22:34,600 Speaker 5: are going to continue. They're not. They're being reversed right now. 413 00:22:34,760 --> 00:22:38,159 Speaker 5: Also part of the problem is that in Republicans are 414 00:22:38,160 --> 00:22:42,840 Speaker 5: starting to realize this, you're watering down by breaking up 415 00:22:42,840 --> 00:22:45,679 Speaker 5: some of these Democratic districts, you are watering down the 416 00:22:45,720 --> 00:22:48,359 Speaker 5: margin in a Republican district. So here, here's the number 417 00:22:48,359 --> 00:22:50,960 Speaker 5: I gave David French when we did a podcast. Said, 418 00:22:51,040 --> 00:22:54,080 Speaker 5: let's say you have a sixty percent Republican district, solid 419 00:22:54,240 --> 00:22:57,240 Speaker 5: safe Republican seat, right, you don't have to worry about. 420 00:22:57,080 --> 00:22:57,800 Speaker 6: The general election. 421 00:22:58,400 --> 00:23:02,840 Speaker 5: But if you water that down as part of this gerrymandering, 422 00:23:02,880 --> 00:23:05,360 Speaker 5: and it becomes say a fifty four percent fifty three 423 00:23:05,400 --> 00:23:09,240 Speaker 5: percent district, that's a swing district now and you're seeing 424 00:23:09,320 --> 00:23:14,880 Speaker 5: swings of ten, eleven, twelve, thirteen points or more. If 425 00:23:14,920 --> 00:23:17,280 Speaker 5: you begin to apply that, you suddenly realize that it 426 00:23:17,320 --> 00:23:20,399 Speaker 5: doesn't matter how much of this gameplan you do, you 427 00:23:20,520 --> 00:23:25,480 Speaker 5: are facing a wipeout if you continue to I don't know, 428 00:23:26,640 --> 00:23:29,040 Speaker 5: you know, cling to these policies that the American people 429 00:23:29,080 --> 00:23:31,080 Speaker 5: are going. You know what, I didn't vote for this. 430 00:23:31,440 --> 00:23:33,680 Speaker 5: I voted for the guy in the ad. I didn't 431 00:23:33,760 --> 00:23:36,400 Speaker 5: vote for the guy who was, you know, blithering and 432 00:23:36,440 --> 00:23:37,840 Speaker 5: making these threats at the rally. 433 00:23:37,880 --> 00:23:38,160 Speaker 2: I didn't. 434 00:23:38,160 --> 00:23:40,280 Speaker 5: I didn't see the rally. I saw the ads, and 435 00:23:40,320 --> 00:23:42,000 Speaker 5: he was going to bring down prices, he was going 436 00:23:42,040 --> 00:23:44,920 Speaker 5: to make America strong, he was going to secure the border, 437 00:23:44,960 --> 00:23:47,119 Speaker 5: and he seemed like a substantive guy. And now a 438 00:23:47,200 --> 00:23:50,080 Speaker 5: lot of Americans are going, wait, wait, wait, this is 439 00:23:50,400 --> 00:23:53,400 Speaker 5: this is not what I thought. And I think you're 440 00:23:53,400 --> 00:23:55,080 Speaker 5: seeing that in the numbers. I mean, this is not 441 00:23:55,200 --> 00:23:58,200 Speaker 5: just anecdotal. You're seeing it in one election after another. 442 00:23:58,720 --> 00:24:02,199 Speaker 5: And may if I'm wrong. He's down to a thirty 443 00:24:02,320 --> 00:24:04,760 Speaker 5: one percent approval rating on the economy and the new 444 00:24:04,800 --> 00:24:07,120 Speaker 5: a people thirty one percent. 445 00:24:07,560 --> 00:24:09,920 Speaker 1: And also, one of the other things that I think 446 00:24:10,040 --> 00:24:13,600 Speaker 1: is so interesting about this moment is so the places 447 00:24:13,640 --> 00:24:18,320 Speaker 1: where he has managed to do better have been the 448 00:24:18,400 --> 00:24:19,879 Speaker 1: economy or do better. 449 00:24:19,920 --> 00:24:23,440 Speaker 2: He has had a better public. The public has thought him. 450 00:24:23,280 --> 00:24:25,960 Speaker 1: As better at we you know, the truth, But is 451 00:24:26,000 --> 00:24:28,639 Speaker 1: the economy and also immigration right? 452 00:24:28,680 --> 00:24:29,639 Speaker 2: The idea wasn't. 453 00:24:29,680 --> 00:24:32,080 Speaker 1: Actually I'd love to talk to you about this for 454 00:24:32,119 --> 00:24:35,320 Speaker 1: a minute, because the idea was that the people were 455 00:24:35,400 --> 00:24:40,000 Speaker 1: mad about the border under Biden. Okay, and that Trump 456 00:24:41,200 --> 00:24:43,360 Speaker 1: that he has cut down on a lot of immigration, 457 00:24:43,400 --> 00:24:43,879 Speaker 1: which we know. 458 00:24:44,080 --> 00:24:45,840 Speaker 2: We know there are people coming over the border. 459 00:24:45,880 --> 00:24:48,400 Speaker 1: We don't he's not deporting at the same levels as 460 00:24:48,400 --> 00:24:53,760 Speaker 1: Obama because he's actually incomfident. But he is definitely has 461 00:24:54,119 --> 00:24:56,760 Speaker 1: less people coming here for obvious reasons. They're not even 462 00:24:56,800 --> 00:25:00,280 Speaker 1: coming for visits. That's one of the reasons. But I 463 00:25:00,320 --> 00:25:03,960 Speaker 1: wonder if you could just talk through like as we 464 00:25:04,080 --> 00:25:08,240 Speaker 1: see this, you know he is now underwater on immigration 465 00:25:08,440 --> 00:25:11,440 Speaker 1: too and so and we're even seeing you know, soccer 466 00:25:11,520 --> 00:25:14,440 Speaker 1: moms in Illinois talking about abolishing ice. 467 00:25:15,040 --> 00:25:16,920 Speaker 2: So yes, make it makes sense. 468 00:25:17,040 --> 00:25:19,800 Speaker 5: Okay, well it doesn't make sense. The interesting thing about 469 00:25:19,800 --> 00:25:22,119 Speaker 5: that is that, you know, he could have made that 470 00:25:22,160 --> 00:25:24,600 Speaker 5: a complete winner by basically saying, Okay, I've secured the 471 00:25:24,600 --> 00:25:28,440 Speaker 5: border and then we're going to enforce deportation the way 472 00:25:28,440 --> 00:25:30,320 Speaker 5: my predecessors have. He doesn't have to say that. He's 473 00:25:30,359 --> 00:25:32,560 Speaker 5: going to say, you know, the biggest, you know, but 474 00:25:32,640 --> 00:25:36,000 Speaker 5: you don't have to be cruel about it. I mean, honestly, 475 00:25:36,440 --> 00:25:38,959 Speaker 5: I think that people you can you can be a 476 00:25:38,960 --> 00:25:41,040 Speaker 5: bouncer at a bar, you can be a cop, you 477 00:25:41,119 --> 00:25:43,440 Speaker 5: can be an ICE agent, you can be a National guardsman. 478 00:25:43,720 --> 00:25:46,639 Speaker 5: You don't need to be a performative asshole. And so 479 00:25:46,720 --> 00:25:48,879 Speaker 5: what people are seeing is they're seeing this kind of 480 00:25:48,920 --> 00:25:52,040 Speaker 5: cruelty and going, well, that doesn't seem necessary to me. Now, 481 00:25:52,320 --> 00:25:55,359 Speaker 5: Maga kind of loves the cruelty porn of you know, 482 00:25:55,400 --> 00:25:58,040 Speaker 5: people being thrown to the ground and stomped and windows 483 00:25:58,080 --> 00:25:59,880 Speaker 5: being broken. But I don't think that's what the sock 484 00:26:00,160 --> 00:26:03,120 Speaker 5: moms in Illinois are thinking about this. So he has 485 00:26:03,200 --> 00:26:07,040 Speaker 5: squandered what should have been his best issue, and he's 486 00:26:07,080 --> 00:26:10,000 Speaker 5: going to make it worse because he's pumped up one 487 00:26:10,119 --> 00:26:14,320 Speaker 5: hundred and fifty billion more dollars over the next four 488 00:26:14,400 --> 00:26:17,520 Speaker 5: years and Dice that will make ICE better funded than 489 00:26:17,520 --> 00:26:22,320 Speaker 5: most of the world militaries, including Israel's. And who do 490 00:26:22,359 --> 00:26:26,480 Speaker 5: you think and they're hiring ten thousand new agents, and Mollie, 491 00:26:26,880 --> 00:26:29,120 Speaker 5: who do you think is signing up for ICE right now? 492 00:26:29,119 --> 00:26:31,159 Speaker 5: And how do you think they're being trained? So do 493 00:26:31,200 --> 00:26:34,159 Speaker 5: you think this is going to become more prudent. Do 494 00:26:34,200 --> 00:26:36,040 Speaker 5: you think this is going to become kinder? You think 495 00:26:36,040 --> 00:26:38,919 Speaker 5: they're going to pivot away from the cruelty. No, what 496 00:26:39,200 --> 00:26:42,320 Speaker 5: happens when they run out of the you know, worst 497 00:26:42,440 --> 00:26:45,159 Speaker 5: of the worst. So this is a this is an 498 00:26:45,200 --> 00:26:47,879 Speaker 5: own goal I think by Donald Trump. And again it 499 00:26:48,000 --> 00:26:51,280 Speaker 5: is a legitimate position to say, we need to secure 500 00:26:51,320 --> 00:26:54,439 Speaker 5: the border and if you are a criminal, you know, 501 00:26:54,560 --> 00:26:57,320 Speaker 5: you should be put in prison or deported. That's what 502 00:26:57,400 --> 00:27:00,520 Speaker 5: people thought Donald Trump was going to do. And now 503 00:27:00,920 --> 00:27:02,919 Speaker 5: and for the last few months, they have been seeing 504 00:27:03,760 --> 00:27:07,240 Speaker 5: something I think that offends the innate sense of fairness 505 00:27:07,280 --> 00:27:11,399 Speaker 5: and dignity. And that's and that's that Stephen Miller, you know, 506 00:27:11,640 --> 00:27:13,840 Speaker 5: fetish for being as brutal as possible. 507 00:27:14,119 --> 00:27:17,560 Speaker 1: The other thing is they're clearly upset. The tariffs are 508 00:27:17,640 --> 00:27:21,480 Speaker 1: clearly unpopular. Yeah, and that's why is economic numbers are 509 00:27:21,560 --> 00:27:22,120 Speaker 1: not well. 510 00:27:22,160 --> 00:27:24,800 Speaker 5: Also, Look, you know, people have a lived reality, you know, 511 00:27:24,840 --> 00:27:27,159 Speaker 5: and this is something we talked about during the Biden years. 512 00:27:27,280 --> 00:27:29,080 Speaker 5: You know, you can say, and by the way, don't 513 00:27:29,119 --> 00:27:32,320 Speaker 5: confuse cost of living with inflation rates. Cost of living 514 00:27:32,359 --> 00:27:34,080 Speaker 5: is how much things cost, and things cost a lot 515 00:27:34,119 --> 00:27:36,479 Speaker 5: more than they cost five years ago. And so if 516 00:27:36,480 --> 00:27:39,720 Speaker 5: the inflation rate is down, which is not necessarily, it 517 00:27:39,840 --> 00:27:42,000 Speaker 5: just means that the cost of living is rising at 518 00:27:42,000 --> 00:27:45,080 Speaker 5: a slower rate. But people are still screwed. And so 519 00:27:45,240 --> 00:27:48,200 Speaker 5: Donald Trump, you know, and again I think he's tone 520 00:27:48,240 --> 00:27:50,480 Speaker 5: deaf on this issue, which is weird because this is, 521 00:27:50,520 --> 00:27:52,960 Speaker 5: you know, this is based on all the marbles that 522 00:27:53,119 --> 00:27:58,159 Speaker 5: whole going to Pennsylvania mocking affordability and then doing his 523 00:27:58,320 --> 00:28:02,760 Speaker 5: Marie Antoinette, you know, cosplaying like, yeah, I am a 524 00:28:02,800 --> 00:28:07,160 Speaker 5: billionaire who's building a golden ballroom, but you people don't 525 00:28:07,200 --> 00:28:11,600 Speaker 5: need more than two dollars or pencils. What the hell 526 00:28:11,680 --> 00:28:15,320 Speaker 5: is with that? So if if Republicans to think there's 527 00:28:15,359 --> 00:28:17,280 Speaker 5: going to be a pivot by Donald Trump, I come 528 00:28:17,320 --> 00:28:20,000 Speaker 5: to Jesus moment for Donald Trump. I think it's going 529 00:28:20,080 --> 00:28:22,679 Speaker 5: to dawn on them soon. They are royally screwed because 530 00:28:22,960 --> 00:28:26,280 Speaker 5: Donald Trump just doesn't get it and is not willing 531 00:28:26,320 --> 00:28:28,680 Speaker 5: to do it. And plus the tariffs, which he believes 532 00:28:28,680 --> 00:28:33,640 Speaker 5: in religiously, you know, are continue to hammer American consumers. Yeah, 533 00:28:33,840 --> 00:28:37,640 Speaker 5: Charlie Sykes, I hope he'll come back anytime. 534 00:28:39,760 --> 00:28:43,920 Speaker 1: Jacob Silverman is the author of the book Gilded Rage 535 00:28:44,040 --> 00:28:48,760 Speaker 1: Elon Musk and the radicalization of Silicon Valley. Welcome back, 536 00:28:48,920 --> 00:28:50,720 Speaker 1: Jacob to Fast Politics. 537 00:28:50,840 --> 00:28:51,640 Speaker 6: Thanks for having me. 538 00:28:51,840 --> 00:28:55,560 Speaker 1: So crypto turned out to be a really solid kind 539 00:28:55,560 --> 00:28:56,840 Speaker 1: of currency. 540 00:28:56,360 --> 00:28:58,760 Speaker 2: That is not at all tied to the markets. I'm 541 00:28:58,760 --> 00:29:00,480 Speaker 2: being ironic. Tell us where we are. 542 00:29:00,600 --> 00:29:03,640 Speaker 7: Crypto is down, at least in the last few months 543 00:29:03,640 --> 00:29:07,440 Speaker 7: from its record highs. You know, classic volatility of these 544 00:29:07,440 --> 00:29:11,280 Speaker 7: like very corrupt markets that are now regulated by their 545 00:29:11,320 --> 00:29:13,800 Speaker 7: own hand picked system of regulators. 546 00:29:14,160 --> 00:29:14,600 Speaker 2: Vibes. 547 00:29:14,880 --> 00:29:17,480 Speaker 7: Yeah, They've gotten everything that they wanted from the Trump administration. 548 00:29:17,560 --> 00:29:20,760 Speaker 7: There's still probably another market Structure bill, as they call it, 549 00:29:20,800 --> 00:29:23,760 Speaker 7: to come, but you know, they legalize stable coins with 550 00:29:23,920 --> 00:29:27,040 Speaker 7: the Genius Act, thanks to some help from Kirsten Jilbrand 551 00:29:27,040 --> 00:29:30,040 Speaker 7: other Democrats, and that's going to help Trump become very rich. 552 00:29:30,240 --> 00:29:32,520 Speaker 1: Some of the people on this podcast are not as 553 00:29:32,720 --> 00:29:34,840 Speaker 1: tapped into this vernacular. 554 00:29:35,000 --> 00:29:36,000 Speaker 2: What are stable coins? 555 00:29:36,160 --> 00:29:38,800 Speaker 7: So a lot of cryptotokens are ones that you're familiar with, 556 00:29:38,800 --> 00:29:41,440 Speaker 7: like bitcoin or ethereum, that have a value attached to 557 00:29:41,480 --> 00:29:45,920 Speaker 7: them that fluctuate according to whatever the exchange, yeah, or 558 00:29:45,960 --> 00:29:48,080 Speaker 7: how much someone's buying that day, or how much someone's 559 00:29:48,080 --> 00:29:51,040 Speaker 7: putting in Trump's pocket. Trump through world Liberty Financial his 560 00:29:51,160 --> 00:29:54,680 Speaker 7: main crypto vehicle. He has the World Liberty Financial token, 561 00:29:54,720 --> 00:29:56,640 Speaker 7: which goes up and down in value, and then they 562 00:29:56,640 --> 00:29:59,520 Speaker 7: have a stable coin called USD one, and stable coins 563 00:29:59,520 --> 00:30:02,320 Speaker 7: are generally peg to the US dollar. They're supposed to 564 00:30:02,360 --> 00:30:04,720 Speaker 7: have a constant value. It kind of depends on the 565 00:30:04,720 --> 00:30:08,440 Speaker 7: trustworthiness of the company behind them, and they become sort 566 00:30:08,440 --> 00:30:11,200 Speaker 7: of like the chips used in the casino and a 567 00:30:11,240 --> 00:30:14,680 Speaker 7: lot of people in crypto transactions basically convert dollars into 568 00:30:14,720 --> 00:30:18,320 Speaker 7: stable coins, so that instead of a million dollar US dollars, 569 00:30:18,360 --> 00:30:21,960 Speaker 7: you have a million USD one Trump stable coins because 570 00:30:22,200 --> 00:30:25,000 Speaker 7: there are ways to do stuff that's outside the normal 571 00:30:25,040 --> 00:30:26,240 Speaker 7: regulated economy and it. 572 00:30:26,280 --> 00:30:27,600 Speaker 6: Kind of makes life easier there. 573 00:30:27,720 --> 00:30:32,040 Speaker 7: And the Genius Act basically helped legitimize and regulate and 574 00:30:32,040 --> 00:30:34,680 Speaker 7: bring this market on shore to the United States in 575 00:30:34,720 --> 00:30:37,000 Speaker 7: a way that it hadn't been legally. 576 00:30:36,640 --> 00:30:37,280 Speaker 6: Before at all. 577 00:30:37,680 --> 00:30:40,760 Speaker 7: Most of it's overseas with some very shady companies behind it, 578 00:30:41,000 --> 00:30:43,360 Speaker 7: and now they have an on ramp into the US 579 00:30:43,360 --> 00:30:45,760 Speaker 7: financial market, and there're gonna be a lot of companies 580 00:30:45,760 --> 00:30:47,720 Speaker 7: that they'll probably introduce stable coins, like you're gonna be 581 00:30:47,720 --> 00:30:50,320 Speaker 7: logging onto your PayPal account or even just other online 582 00:30:50,360 --> 00:30:53,080 Speaker 7: shopping accounts and they'll probably want you to buy their coin. 583 00:30:53,240 --> 00:30:54,560 Speaker 7: And we're just gonna see a lot more of this, 584 00:30:54,640 --> 00:30:57,600 Speaker 7: and it's another way to kind of bleed consumers dry 585 00:30:57,760 --> 00:31:00,840 Speaker 7: while helping like these cryptoly under more money. 586 00:31:00,960 --> 00:31:04,680 Speaker 1: So we have stable coin. It is not regulated. It's new, 587 00:31:04,880 --> 00:31:08,160 Speaker 1: but it's sort of nothing is regulated. Just explain where 588 00:31:08,200 --> 00:31:08,720 Speaker 1: we are with that. 589 00:31:09,160 --> 00:31:13,080 Speaker 7: Most of the binary regulations have either been dismantled or 590 00:31:13,240 --> 00:31:17,160 Speaker 7: especially in the forms of enforcement organizations at like units 591 00:31:17,200 --> 00:31:20,760 Speaker 7: within the SEC, FBI and elsewhere that were focused on 592 00:31:21,000 --> 00:31:24,560 Speaker 7: crypto crime broadly and illicit finance. And then you also 593 00:31:24,600 --> 00:31:27,280 Speaker 7: had the outright pardon of a lot of people who 594 00:31:27,280 --> 00:31:30,719 Speaker 7: have committed fraud or various financial crimes connected to crypto, 595 00:31:30,840 --> 00:31:34,000 Speaker 7: something like Clear's Day. And you had also then the 596 00:31:34,160 --> 00:31:37,600 Speaker 7: kind of pay to play pardons or dropping of investigations 597 00:31:37,680 --> 00:31:41,200 Speaker 7: with people like Justin Sun and cz who's the head 598 00:31:41,200 --> 00:31:44,000 Speaker 7: of Binance, and these are very shady, you know, international 599 00:31:44,000 --> 00:31:47,400 Speaker 7: crypto entrepreneurs. So kind of at all levels, you've had 600 00:31:47,400 --> 00:31:50,680 Speaker 7: a dismantling of any rule of law, checks and balances. 601 00:31:51,040 --> 00:31:53,280 Speaker 7: The legislative part is the last piece of that, I 602 00:31:53,280 --> 00:31:56,360 Speaker 7: guess with the Genius Act, and then this market Structure 603 00:31:56,400 --> 00:31:59,000 Speaker 7: bill that they've also called the Clarity Act, and you know, 604 00:31:59,040 --> 00:32:01,760 Speaker 7: that'll cement a lot these things that allow the crypto 605 00:32:01,760 --> 00:32:05,000 Speaker 7: companies to make big bets and to issue their products 606 00:32:05,000 --> 00:32:07,200 Speaker 7: in the US, to have access to money from Wall 607 00:32:07,200 --> 00:32:09,320 Speaker 7: Street which they didn't before, to be able to bank 608 00:32:09,360 --> 00:32:11,440 Speaker 7: normally here in the US, which there were just a 609 00:32:11,480 --> 00:32:12,720 Speaker 7: lot of policies. 610 00:32:12,320 --> 00:32:14,160 Speaker 6: Kind of keeping that in check. Like you may not 611 00:32:14,240 --> 00:32:14,600 Speaker 6: think of. 612 00:32:14,560 --> 00:32:17,600 Speaker 7: Wall Street banks as risk averse, but they were actually 613 00:32:17,640 --> 00:32:20,480 Speaker 7: really reluctant to do deals with with crypto companies or 614 00:32:20,520 --> 00:32:23,480 Speaker 7: to you know, hold their assets for good reason, I think. 615 00:32:23,560 --> 00:32:25,920 Speaker 6: And now there's a total green light from the administration. 616 00:32:26,240 --> 00:32:28,720 Speaker 1: Let's talk about the Genius Act. I sort of saw it, 617 00:32:28,760 --> 00:32:31,760 Speaker 1: but I don't really understand. So talk us through what 618 00:32:31,840 --> 00:32:33,040 Speaker 1: that is and what that does. 619 00:32:33,400 --> 00:32:36,760 Speaker 7: So the Genius Act allows stable coins, which is this 620 00:32:36,960 --> 00:32:40,280 Speaker 7: two hundred and fifty billion dollar plus market of digital dollars, 621 00:32:40,400 --> 00:32:42,520 Speaker 7: to basically come on shore to the US, and for 622 00:32:42,640 --> 00:32:45,080 Speaker 7: companies here in the US to start issuing their own 623 00:32:45,160 --> 00:32:47,360 Speaker 7: stable coins, their own digital dollars if they want to. 624 00:32:47,480 --> 00:32:49,720 Speaker 7: You know, so if a company like Amazons, they might 625 00:32:49,760 --> 00:32:52,480 Speaker 7: say in the future, hey, if you buy with Amazon Bucks, 626 00:32:52,560 --> 00:32:54,640 Speaker 7: we'll give you a ten percent discount, and they're you know, 627 00:32:54,680 --> 00:32:57,440 Speaker 7: there are reasons why companies will want real dollars and 628 00:32:57,440 --> 00:32:58,959 Speaker 7: they'll be able to issue their own and then they 629 00:32:58,960 --> 00:33:01,400 Speaker 7: can take your real dollars and put them into short 630 00:33:01,520 --> 00:33:06,240 Speaker 7: term treasuries or a yeah, And the idea is also 631 00:33:06,280 --> 00:33:07,800 Speaker 7: that you know, at some point you might want to 632 00:33:07,840 --> 00:33:10,480 Speaker 7: redeem your stable coins and say I want my real 633 00:33:10,520 --> 00:33:12,560 Speaker 7: dollars back. But in the meantime, you know, they get 634 00:33:12,560 --> 00:33:14,120 Speaker 7: a lot of money to play around with, and the 635 00:33:14,440 --> 00:33:17,480 Speaker 7: smarter operators find out ways that they never have to 636 00:33:17,520 --> 00:33:19,960 Speaker 7: really let you redeem. And that's what this company called 637 00:33:20,000 --> 00:33:23,480 Speaker 7: Teather actually is notorious for. And it's not necessarily something 638 00:33:23,520 --> 00:33:26,680 Speaker 7: that's needed. It's needed only if you want to legitimize 639 00:33:26,680 --> 00:33:29,400 Speaker 7: this industry and give the crypto industry what it want. 640 00:33:29,440 --> 00:33:32,320 Speaker 7: It's not they're not necessarily like economic benefits that they'll 641 00:33:32,320 --> 00:33:35,320 Speaker 7: claim ones. But to American consumers, this is not a 642 00:33:35,360 --> 00:33:37,719 Speaker 7: smarter way to bank or to shop online. 643 00:33:37,840 --> 00:33:39,400 Speaker 2: This is a genius act. 644 00:33:39,400 --> 00:33:42,040 Speaker 7: That's right, and that's what gives us a legal stable 645 00:33:42,080 --> 00:33:44,680 Speaker 7: coin market that could grow to be very big just 646 00:33:44,720 --> 00:33:47,840 Speaker 7: because any company that interacts with you online or especially 647 00:33:47,920 --> 00:33:51,240 Speaker 7: that in a shopping capacity or like any social media 648 00:33:51,240 --> 00:33:53,880 Speaker 7: platform is going to try to become a payments platform 649 00:33:53,920 --> 00:33:55,880 Speaker 7: also and have its own stable coins. And you know, 650 00:33:55,920 --> 00:33:59,040 Speaker 7: most importantly is it helps legitimize what Trump is doing 651 00:33:59,120 --> 00:34:01,600 Speaker 7: with his own because his main crypto company has a 652 00:34:01,640 --> 00:34:05,040 Speaker 7: stable coin. It's been used in some very shady deals already. 653 00:34:05,120 --> 00:34:08,200 Speaker 7: It's gonna be the main vehicle probably for people to 654 00:34:08,280 --> 00:34:11,080 Speaker 7: funnel billions of dollars to Trump, like pretty much unending 655 00:34:11,320 --> 00:34:12,120 Speaker 7: amounts of money. 656 00:34:12,280 --> 00:34:15,400 Speaker 2: Explain to us how Kristen Cinema gets involved in this. 657 00:34:16,040 --> 00:34:19,480 Speaker 7: She's lobbying, I believe, on behalf of this, and she 658 00:34:19,840 --> 00:34:24,360 Speaker 7: has started bringing local Arizona politicians, it seems, with money 659 00:34:24,360 --> 00:34:27,560 Speaker 7: coming against them. What happened was during the twenty twenty 660 00:34:27,560 --> 00:34:31,280 Speaker 7: four election, the crypto industry now infamously became the largest 661 00:34:31,280 --> 00:34:34,680 Speaker 7: donor by industry, and they got a lot. I mean, 662 00:34:34,680 --> 00:34:36,640 Speaker 7: they got pretty much what they wanted. And now they're 663 00:34:36,680 --> 00:34:40,000 Speaker 7: snapping up people like Cinema, and that's also converging with 664 00:34:40,120 --> 00:34:43,319 Speaker 7: kind of the AI and data center buildout and which 665 00:34:43,360 --> 00:34:45,560 Speaker 7: is kind of the only other game in town for 666 00:34:46,000 --> 00:34:49,080 Speaker 7: the tech industry, and that's where all kind of money 667 00:34:49,120 --> 00:34:50,640 Speaker 7: and influence pedaling is going. 668 00:34:50,880 --> 00:34:54,520 Speaker 1: We have Crypto, which is pouring money into American elections. 669 00:34:54,840 --> 00:34:58,080 Speaker 1: The goal is to pump up a sort of other 670 00:34:58,480 --> 00:35:02,800 Speaker 1: kind of debt. It's basically credit card based on nothing. 671 00:35:03,120 --> 00:35:04,560 Speaker 6: Right, Yeah, we're going to have a. 672 00:35:04,480 --> 00:35:07,560 Speaker 1: Sort of two thousand and eight debt crisis from crypto, 673 00:35:07,760 --> 00:35:10,440 Speaker 1: which is going to be even worse because it's not 674 00:35:10,520 --> 00:35:12,160 Speaker 1: even based on debt, it's based. 675 00:35:11,920 --> 00:35:12,800 Speaker 2: On sort of gambling. 676 00:35:12,960 --> 00:35:16,040 Speaker 1: And then we have these data centers, which is another 677 00:35:16,360 --> 00:35:19,080 Speaker 1: which is the way in which tech and debt can 678 00:35:19,160 --> 00:35:22,239 Speaker 1: also get involved with ruining our environment. Talk us through 679 00:35:22,320 --> 00:35:25,600 Speaker 1: the data center to make AI slop. It's like something 680 00:35:25,640 --> 00:35:26,839 Speaker 1: out of a dystopia. 681 00:35:27,360 --> 00:35:29,600 Speaker 7: And I think the constant question or the question we 682 00:35:29,600 --> 00:35:30,920 Speaker 7: should be asking a lot is you know, what do 683 00:35:30,960 --> 00:35:32,600 Speaker 7: we get out of this, you know, with crypto or 684 00:35:32,640 --> 00:35:33,520 Speaker 7: not getting very much? 685 00:35:33,600 --> 00:35:35,239 Speaker 6: And we could go through that more. 686 00:35:35,280 --> 00:35:38,880 Speaker 7: But with the AI stuff, we're getting labor disruption systems 687 00:35:38,880 --> 00:35:41,480 Speaker 7: that hallucain don't really work, you know, the decline of 688 00:35:41,560 --> 00:35:44,600 Speaker 7: human thought. And then for a lot of people, higher 689 00:35:44,600 --> 00:35:48,799 Speaker 7: electricity prices or poor water conditions, or you know, these 690 00:35:48,840 --> 00:35:52,320 Speaker 7: massive infrastructure projects that come in ten million dollars spent 691 00:35:52,560 --> 00:35:54,520 Speaker 7: or twenty million dollars spent by a company like Google 692 00:35:54,520 --> 00:35:57,799 Speaker 7: and their private equity partners in Texas or Virginia or Georgia, 693 00:35:57,840 --> 00:36:01,719 Speaker 7: and there aren't long term jobs really associate with these projects. 694 00:36:01,719 --> 00:36:04,640 Speaker 7: And right now we're entering the stage where we're kind 695 00:36:04,680 --> 00:36:07,560 Speaker 7: of starting to see the exotic debt instruments like the 696 00:36:07,600 --> 00:36:10,280 Speaker 7: two thousand and eight style kind of credit default swaps 697 00:36:10,320 --> 00:36:13,440 Speaker 7: but for data centers, and the kind of believe the 698 00:36:13,480 --> 00:36:16,839 Speaker 7: weird financial instruments and these circular deals because there are 699 00:36:16,840 --> 00:36:19,680 Speaker 7: only a couple companies here actually like making money, and 700 00:36:19,800 --> 00:36:22,160 Speaker 7: N Video makes most of the chips, though Google's now 701 00:36:22,480 --> 00:36:24,880 Speaker 7: coming up behind them, so now there's like, you know, 702 00:36:25,040 --> 00:36:28,000 Speaker 7: N Video loaning companies money to buy its own chips, 703 00:36:28,040 --> 00:36:30,000 Speaker 7: and that's like one of a simple version of one 704 00:36:30,080 --> 00:36:31,719 Speaker 7: of these basically a lot of like I give you 705 00:36:31,760 --> 00:36:33,319 Speaker 7: money to give me, to give it back to me 706 00:36:33,360 --> 00:36:35,520 Speaker 7: and stuff like that, or to pay at a later date. 707 00:36:35,560 --> 00:36:37,520 Speaker 7: And you know, it just doesn't look very good because 708 00:36:37,520 --> 00:36:40,080 Speaker 7: where's the economic productivity? It's I mean, that's what I've 709 00:36:40,120 --> 00:36:42,320 Speaker 7: been saying about crypto for years. It's like, where's the 710 00:36:42,360 --> 00:36:45,279 Speaker 7: actual value and we're not seeing it yet, And there'll 711 00:36:45,280 --> 00:36:48,400 Speaker 7: be some kind of bursting of this bubble, maybe open 712 00:36:48,440 --> 00:36:51,160 Speaker 7: AI will provoke it because it has promised to spend 713 00:36:51,360 --> 00:36:54,280 Speaker 7: trillions of dollars that it won't have at some point. 714 00:36:54,360 --> 00:36:56,800 Speaker 7: But that's the cliff we're all headed off of, basically 715 00:36:57,200 --> 00:37:01,200 Speaker 7: with enthusiastics of for the Trump administration. Who's source said like, Okay, yeah, 716 00:37:01,200 --> 00:37:03,840 Speaker 7: we're just going to delegate industrial policies to tech and AI. 717 00:37:04,400 --> 00:37:06,800 Speaker 2: So let's talk about gilded rage. 718 00:37:07,000 --> 00:37:10,320 Speaker 1: So explain to me this book you've written about crypto 719 00:37:10,480 --> 00:37:10,880 Speaker 1: a lot. 720 00:37:11,040 --> 00:37:13,360 Speaker 2: This gets you to this other idea. 721 00:37:13,680 --> 00:37:17,440 Speaker 7: I have been looking at the increasingly prominent right wing 722 00:37:17,719 --> 00:37:21,160 Speaker 7: tech elite and beyond people like Peter Thiel or even 723 00:37:21,200 --> 00:37:23,600 Speaker 7: David Sachs who have long been right winger. 724 00:37:23,760 --> 00:37:27,280 Speaker 6: David Sachs, Yeah, the Vest he's doing great. 725 00:37:27,080 --> 00:37:30,400 Speaker 1: Now, favorite because he's like the worst, Like he's just 726 00:37:30,520 --> 00:37:33,080 Speaker 1: the dumbest, and he constantly gets into trouble and you 727 00:37:33,120 --> 00:37:35,720 Speaker 1: can just tell he's like the one who's headed to jail. 728 00:37:35,800 --> 00:37:36,480 Speaker 2: But go on yet. 729 00:37:37,480 --> 00:37:40,280 Speaker 7: Yeah, he has this company he invested in called Done Global, 730 00:37:40,320 --> 00:37:42,600 Speaker 7: which he's tried to wipe all traces up from his 731 00:37:42,640 --> 00:37:46,120 Speaker 7: company website. It was supposed to be a telehealth company. 732 00:37:46,440 --> 00:37:48,680 Speaker 7: It turned out to be an adderall pill mill and 733 00:37:48,880 --> 00:37:51,080 Speaker 7: CEO was just convicted a couple of weeks ago of 734 00:37:51,120 --> 00:37:54,160 Speaker 7: a number of crimes. So while all the administrations prosecuting 735 00:37:54,200 --> 00:37:56,920 Speaker 7: a new drug war, there's also you know, David Sacks's 736 00:37:56,920 --> 00:37:57,520 Speaker 7: old investment. 737 00:37:58,960 --> 00:38:00,120 Speaker 6: Yeah, it was great. 738 00:38:00,719 --> 00:38:04,080 Speaker 7: Anyway, I was struck by this emerging right wing tech 739 00:38:04,080 --> 00:38:06,439 Speaker 7: elite and how they're also putting some of their money 740 00:38:06,480 --> 00:38:09,120 Speaker 7: into politics, because, especially first in San Francisco, they're seeing 741 00:38:09,160 --> 00:38:11,120 Speaker 7: a pretty good ROI as they say. 742 00:38:11,040 --> 00:38:12,640 Speaker 2: Are you talking about David Lourie there? 743 00:38:12,880 --> 00:38:15,320 Speaker 7: Yeah, well even before that, when they recalled Chase a 744 00:38:15,400 --> 00:38:18,080 Speaker 7: Booting or recalled members of the San Francisco School Board, 745 00:38:18,239 --> 00:38:20,839 Speaker 7: that's where things really started emerging, I think. And then 746 00:38:20,880 --> 00:38:24,000 Speaker 7: now they do have like a kind of tech favored mayor. 747 00:38:24,000 --> 00:38:27,000 Speaker 2: Just for me because I sort of have liked David Lurie. 748 00:38:27,040 --> 00:38:28,799 Speaker 2: Am I wrong to like David Lurie? 749 00:38:29,120 --> 00:38:31,560 Speaker 7: I don't think necessarily? I mean I also would say, 750 00:38:31,600 --> 00:38:33,040 Speaker 7: you know, in some ways it's early. I mean he 751 00:38:33,080 --> 00:38:36,520 Speaker 7: did but make Sam Altman, chair of his transition committee, 752 00:38:37,960 --> 00:38:40,879 Speaker 7: made some concessions to like the tech elites. And if 753 00:38:40,920 --> 00:38:43,600 Speaker 7: you're you know, if you're a strident left to you 754 00:38:43,680 --> 00:38:44,720 Speaker 7: probably wouldn't. 755 00:38:44,719 --> 00:38:46,120 Speaker 6: But I don't know what I've seen. 756 00:38:46,120 --> 00:38:48,439 Speaker 7: Also is that, Especially writing about some of these recall 757 00:38:48,520 --> 00:38:50,920 Speaker 7: elections in San Francisco, people kind of aren't given enough 758 00:38:50,960 --> 00:38:53,680 Speaker 7: time to actually govern. And I'm not saying I'm coming 759 00:38:53,719 --> 00:38:56,719 Speaker 7: to Lurie as a fan necessarily, but people like Chase 760 00:38:56,719 --> 00:38:58,880 Speaker 7: a booting or there's a recall of a supervisor just 761 00:38:58,880 --> 00:39:01,240 Speaker 7: recently who was heavily involve in the booty and recall, 762 00:39:01,360 --> 00:39:03,560 Speaker 7: these people aren't allowed to finish out terms because there's 763 00:39:03,560 --> 00:39:06,399 Speaker 7: so much billionaire money now and people get pissed off 764 00:39:06,400 --> 00:39:08,680 Speaker 7: by one thing and then the money comes in, and 765 00:39:08,760 --> 00:39:10,520 Speaker 7: so I think that on its own has been so 766 00:39:10,600 --> 00:39:13,520 Speaker 7: disruptive to San Francisco politics. So I'm kind of wait 767 00:39:13,560 --> 00:39:15,440 Speaker 7: and see if that's an acceptable answer on Leuring. 768 00:39:15,520 --> 00:39:16,879 Speaker 2: No, that's a good answer, But. 769 00:39:16,880 --> 00:39:18,680 Speaker 7: I think more broadly, like you have a group of 770 00:39:18,719 --> 00:39:21,239 Speaker 7: people who their most hardcore members are not fans of 771 00:39:21,280 --> 00:39:25,200 Speaker 7: democracy and became really frustrated with any sort of impediments 772 00:39:25,280 --> 00:39:28,239 Speaker 7: from the state, from the culture, from their own employees 773 00:39:28,239 --> 00:39:30,600 Speaker 7: protesting against say work for the government or work for 774 00:39:30,600 --> 00:39:33,719 Speaker 7: the Israeli government, and they were ready to just you know, 775 00:39:33,880 --> 00:39:36,200 Speaker 7: put their foot on the accelerator and start spending as 776 00:39:36,280 --> 00:39:38,760 Speaker 7: much Saudi cash as they could to kind of invent 777 00:39:38,840 --> 00:39:41,120 Speaker 7: this future that they think have been denied to them 778 00:39:41,160 --> 00:39:44,919 Speaker 7: and have been denied by tech critics and by regulators 779 00:39:44,960 --> 00:39:48,000 Speaker 7: and by Democrats and by Lena Khan and all their 780 00:39:48,080 --> 00:39:48,840 Speaker 7: various enemies. 781 00:39:48,880 --> 00:39:51,279 Speaker 6: And this, I think, you know, dove tail also with. 782 00:39:51,280 --> 00:39:56,320 Speaker 7: Kind of the rise of maga reactionary thought, especially during COVID, 783 00:39:56,800 --> 00:39:59,480 Speaker 7: when they shared a lot of the same cultural grievances, 784 00:40:00,080 --> 00:40:03,120 Speaker 7: you know, from transphobia in the case of Musk to 785 00:40:03,920 --> 00:40:07,520 Speaker 7: just sort of angry at supposed Biden government overreach. And 786 00:40:07,840 --> 00:40:09,440 Speaker 7: that is broadly I think how a lot of this 787 00:40:09,520 --> 00:40:12,160 Speaker 7: came together, but it really does stem from this fact 788 00:40:12,200 --> 00:40:14,799 Speaker 7: that these guys are a hard drug addle billionaires with 789 00:40:14,880 --> 00:40:17,040 Speaker 7: unlimited amounts of money who think that they have an 790 00:40:17,080 --> 00:40:19,080 Speaker 7: almost a genetic right to rule. 791 00:40:19,600 --> 00:40:23,520 Speaker 1: So let's talk about the sort of crew there though, 792 00:40:23,600 --> 00:40:26,640 Speaker 1: because I think they're great characters, and by great I 793 00:40:26,719 --> 00:40:31,520 Speaker 1: mean novelistically great, not morally great, morally very dicey. So 794 00:40:31,600 --> 00:40:37,840 Speaker 1: who are the kind of besides Moss and David Zachs, 795 00:40:37,880 --> 00:40:40,560 Speaker 1: who are the sort of main and Peter til So. 796 00:40:40,719 --> 00:40:42,959 Speaker 7: Some of this group is called the PayPal mafia, which 797 00:40:43,040 --> 00:40:46,440 Speaker 7: is that early PayPal group, but also a lot of 798 00:40:46,520 --> 00:40:49,520 Speaker 7: them came out of Stanford, where Peter Tiel founded a 799 00:40:49,640 --> 00:40:52,040 Speaker 7: newspaper called The Stanford Review, a conservative paper that he 800 00:40:52,120 --> 00:40:55,759 Speaker 7: still hires people from. Like that pipeline he developed, and 801 00:40:55,800 --> 00:40:58,239 Speaker 7: it has remained very important for someone who complains about 802 00:40:58,239 --> 00:41:00,640 Speaker 7: colleges a lot. He goes and beak set them and 803 00:41:00,640 --> 00:41:02,600 Speaker 7: it is very involved in hiring twenty two year olds. 804 00:41:02,640 --> 00:41:05,160 Speaker 7: But you know, it's also people like Joe Lonsdale who 805 00:41:05,320 --> 00:41:07,640 Speaker 7: fell into that orbit. He's a little younger but helped 806 00:41:07,640 --> 00:41:10,279 Speaker 7: co found Pallanteer. He lives in Austin. He's funding a 807 00:41:10,280 --> 00:41:11,920 Speaker 7: lot of stuff about homelessness. 808 00:41:12,000 --> 00:41:14,720 Speaker 2: Actually, she seems like the dumbest for the crow. 809 00:41:15,520 --> 00:41:18,200 Speaker 7: I mean, he certainly fits in in that regard, and 810 00:41:18,560 --> 00:41:21,640 Speaker 7: he you know, he has become a pretty frothing right winger. 811 00:41:21,800 --> 00:41:24,000 Speaker 7: He reposts things about Muslims shouldn't be allowed in the 812 00:41:24,120 --> 00:41:26,920 Speaker 7: United States and stuff like that. You know, I think, frankly, 813 00:41:26,920 --> 00:41:28,239 Speaker 7: I've talked about this in the book a little bit 814 00:41:28,280 --> 00:41:31,200 Speaker 7: of his racalization might be partly really to who his 815 00:41:31,200 --> 00:41:33,840 Speaker 7: friends are. But also he was very involved at Stanford. 816 00:41:33,920 --> 00:41:36,200 Speaker 7: He was, and then he was The short answer is 817 00:41:36,239 --> 00:41:38,400 Speaker 7: he was a mentor to this woman that she accused 818 00:41:38,480 --> 00:41:40,120 Speaker 7: him of rape. There was this big story in the 819 00:41:40,160 --> 00:41:42,200 Speaker 7: New York Times magazine about it. 820 00:41:41,840 --> 00:41:43,080 Speaker 6: It was it was a very big. 821 00:41:42,920 --> 00:41:46,440 Speaker 7: Deal, and he was banned from Stanford for a period 822 00:41:46,440 --> 00:41:50,080 Speaker 7: of time. But no charters. It's worthree in full. But 823 00:41:50,360 --> 00:41:52,359 Speaker 7: that seems to be part of kind of his right 824 00:41:52,400 --> 00:41:55,040 Speaker 7: wing regalization or origin story. I mean, he's talked about 825 00:41:55,040 --> 00:41:57,560 Speaker 7: how he thinks it's too easy to sue people in California. 826 00:41:57,800 --> 00:42:00,040 Speaker 7: That is some of the backdrop here and massage, and 827 00:42:00,080 --> 00:42:02,120 Speaker 7: he is certainly, you know, a backdrop condition for all 828 00:42:02,160 --> 00:42:06,120 Speaker 7: of these guys. So but yeah, and he is very militarist, 829 00:42:06,239 --> 00:42:09,000 Speaker 7: and I think he reflects that kind of militarist wing, 830 00:42:09,040 --> 00:42:12,000 Speaker 7: which you know, Musk is certainly part of and others too. 831 00:42:12,080 --> 00:42:15,399 Speaker 7: But this rise of defense tech and even kind of 832 00:42:15,440 --> 00:42:19,719 Speaker 7: this American dominance language and funding Palenteer and andre and 833 00:42:19,760 --> 00:42:22,759 Speaker 7: these other Lord of the Rings inspired tech companies. They're 834 00:42:22,760 --> 00:42:26,120 Speaker 7: supposed to build cool weapons to intimidate our enemies. Like 835 00:42:26,160 --> 00:42:29,719 Speaker 7: it's all very juvenile, but that's the ascendant attitude. 836 00:42:29,400 --> 00:42:31,520 Speaker 2: Speaking of which I think we need a minute on 837 00:42:31,680 --> 00:42:32,400 Speaker 2: Alex Karp. 838 00:42:32,560 --> 00:42:34,840 Speaker 1: Alex Carp has like done a news cycle because he 839 00:42:34,920 --> 00:42:38,640 Speaker 1: did a book and then he did this insane interview 840 00:42:39,120 --> 00:42:42,680 Speaker 1: during the deal Book Forum where he was like, yeah, 841 00:42:42,840 --> 00:42:46,600 Speaker 1: I have neurological differences and I've got autism, and I 842 00:42:46,680 --> 00:42:49,120 Speaker 1: certainly have never done drugs, And a lot of people 843 00:42:49,160 --> 00:42:51,839 Speaker 1: thought that he had actually just done drugs. So talk 844 00:42:51,920 --> 00:42:56,760 Speaker 1: us through him, because that is he's another completely ridiculous character. 845 00:42:57,080 --> 00:42:57,319 Speaker 2: Yeah. 846 00:42:57,360 --> 00:43:01,040 Speaker 7: Alex Karp is the CEO Palenteer, and he is known 847 00:43:01,160 --> 00:43:04,240 Speaker 7: for making very provocative statements, you know, or talking about 848 00:43:04,360 --> 00:43:07,320 Speaker 7: short sellers and wanting to send their cocaine dealers to 849 00:43:07,360 --> 00:43:10,480 Speaker 7: their homes or want to drone venture capitalists he doesn't like, 850 00:43:10,640 --> 00:43:13,400 Speaker 7: you know, he jokes about killing people because his products 851 00:43:13,400 --> 00:43:14,720 Speaker 7: are involved in killing people. 852 00:43:15,120 --> 00:43:16,440 Speaker 2: Yeah, hilarious. 853 00:43:16,719 --> 00:43:18,800 Speaker 7: It gets a good reception because he's always speaking to 854 00:43:18,800 --> 00:43:21,160 Speaker 7: these friendly audiences where they're like, oh, you're the crazy 855 00:43:21,160 --> 00:43:23,920 Speaker 7: guy who says what people are sort of afraid to say. 856 00:43:24,000 --> 00:43:26,960 Speaker 7: Who is very anime and theatrical in a milieu where 857 00:43:26,960 --> 00:43:30,520 Speaker 7: people are outspoken but awkward often or not, you know, 858 00:43:30,680 --> 00:43:34,040 Speaker 7: very charismatic in their own right. And CNBC and other 859 00:43:34,600 --> 00:43:36,880 Speaker 7: sort of financial media love it, and so you hear 860 00:43:36,920 --> 00:43:38,640 Speaker 7: this a lot. He does these kinds of things every 861 00:43:38,640 --> 00:43:41,319 Speaker 7: few months at a conference or on an earnings call 862 00:43:41,440 --> 00:43:43,759 Speaker 7: or something like that. But you know, he really represents 863 00:43:43,840 --> 00:43:48,880 Speaker 7: again that group of militaristic, jingoistic venture capitalists and CEOs. 864 00:43:48,960 --> 00:43:50,640 Speaker 7: Is a CEO Palante Here, which is kind of the 865 00:43:50,719 --> 00:43:53,839 Speaker 7: paradigmatic tech company of the Trump era that went from 866 00:43:53,880 --> 00:43:56,759 Speaker 7: being a small but important startup in the first Trump 867 00:43:56,760 --> 00:44:00,200 Speaker 7: administration to now being a massive, publicly traded company. It's 868 00:44:00,200 --> 00:44:03,480 Speaker 7: gaining tons of contracts from the new Trump administration to 869 00:44:03,520 --> 00:44:06,359 Speaker 7: work on mostly surveillance projects. You know, no matter how 870 00:44:06,440 --> 00:44:09,000 Speaker 7: ridiculous he is or things he says, or he recently 871 00:44:09,000 --> 00:44:10,960 Speaker 7: gave an interview talking about how much time he spends 872 00:44:10,960 --> 00:44:13,080 Speaker 7: with Nazis, as if this was sort of a good thing. 873 00:44:13,360 --> 00:44:15,960 Speaker 7: Maybe it's a learning experience. I think he's just talking 874 00:44:15,960 --> 00:44:19,839 Speaker 7: to his investors. But this is the kind of guy 875 00:44:19,920 --> 00:44:21,600 Speaker 7: he is, and he's just he's on the sort of 876 00:44:21,680 --> 00:44:24,400 Speaker 7: extreme musky and end of we'll kind of say anything, 877 00:44:24,560 --> 00:44:27,040 Speaker 7: though in his own way, maybe is funnier than musk. 878 00:44:27,239 --> 00:44:30,000 Speaker 7: And he also has this backdrop of he has a 879 00:44:30,000 --> 00:44:33,680 Speaker 7: PhD in philosophy from a German university. He supposedly studied 880 00:44:33,719 --> 00:44:36,479 Speaker 7: under Jurgen Habber Moss, but I don't think that really 881 00:44:36,520 --> 00:44:39,479 Speaker 7: happened or wasn't really his mentor, but you know there's 882 00:44:39,640 --> 00:44:43,279 Speaker 7: he brings this sort of kooky intellectual vibe like he 883 00:44:43,400 --> 00:44:46,000 Speaker 7: just stepped out of the lab or something. But you know, 884 00:44:46,080 --> 00:44:48,960 Speaker 7: then you hear him talk for a minute, and he's 885 00:44:49,000 --> 00:44:52,480 Speaker 7: as militaristic and sometimes as lamophobic as like any other 886 00:44:52,760 --> 00:44:55,440 Speaker 7: right winger, and and that's really who he is. 887 00:44:55,440 --> 00:44:59,120 Speaker 1: Is there anyone that we should be watching in this 888 00:44:59,280 --> 00:45:01,040 Speaker 1: crew that we don't I don't know about but is 889 00:45:01,160 --> 00:45:04,560 Speaker 1: actually really important, because like there must be a smart 890 00:45:04,640 --> 00:45:07,960 Speaker 1: person back there who's doing stuff who we don't know about, 891 00:45:08,080 --> 00:45:11,240 Speaker 1: who's not like obsessive trying to get attention. 892 00:45:11,680 --> 00:45:13,280 Speaker 6: Well, this is someone who's trying to get attention. 893 00:45:13,360 --> 00:45:15,520 Speaker 7: So you may have heard of Sean Maguire's a very 894 00:45:15,560 --> 00:45:17,640 Speaker 7: right wing venture capitalist at Sequoia who I think is 895 00:45:17,640 --> 00:45:21,120 Speaker 7: worth paying attention to. He got fired right the COO 896 00:45:21,320 --> 00:45:24,600 Speaker 7: of the company who's Muslim, decided to leave instead, and 897 00:45:24,680 --> 00:45:26,960 Speaker 7: he's still there and I think that says a lot. 898 00:45:27,040 --> 00:45:29,080 Speaker 7: I wrote a profile of him for Business Insider over 899 00:45:29,120 --> 00:45:32,080 Speaker 7: the summer. Even someone like roll Off, both of who's 900 00:45:32,160 --> 00:45:35,000 Speaker 7: in charge of Sequoia, like I was worth paying attention to, 901 00:45:35,800 --> 00:45:38,719 Speaker 7: but also like the companies that they're funding anything that 902 00:45:38,840 --> 00:45:42,200 Speaker 7: served downstream from founder's fund or Andrill. 903 00:45:41,840 --> 00:45:43,360 Speaker 6: I think is worth paying attention to. 904 00:45:43,680 --> 00:45:45,760 Speaker 7: One other person who I think just sort of occupies 905 00:45:45,760 --> 00:45:48,840 Speaker 7: an interesting role as Paul Graham, who's a prominent venture capitalist. 906 00:45:48,840 --> 00:45:51,320 Speaker 7: I wouldn't they agree with him on everything, but he's British, 907 00:45:51,360 --> 00:45:53,200 Speaker 7: which I think changes his perspective just. 908 00:45:53,160 --> 00:45:53,640 Speaker 6: A little bit. 909 00:45:53,760 --> 00:45:55,560 Speaker 2: He's not insane, yeah, and he. 910 00:45:55,560 --> 00:45:58,160 Speaker 7: Speaks recently about Goza sometimes and it's pretty much the 911 00:45:58,200 --> 00:46:01,040 Speaker 7: only white venture capitalist who does that that I've found 912 00:46:01,040 --> 00:46:04,080 Speaker 7: at least of importance. And they're already big fault lines 913 00:46:04,080 --> 00:46:07,120 Speaker 7: in tech over Israel, Gaza, a lot of rank and 914 00:46:07,160 --> 00:46:09,880 Speaker 7: file tech employees that Microsoft and other places are not 915 00:46:09,920 --> 00:46:12,880 Speaker 7: happy about what their companies are doing. And Paul Graham 916 00:46:13,040 --> 00:46:16,120 Speaker 7: is kind of this interesting sort of bridge figure who 917 00:46:16,160 --> 00:46:19,320 Speaker 7: is a very respective VC but is probably pretty pissed 918 00:46:19,320 --> 00:46:21,160 Speaker 7: at what some of his colleagues have become. 919 00:46:21,480 --> 00:46:26,360 Speaker 1: Also Jason Calacanus, he is also like he is the lefty, 920 00:46:26,640 --> 00:46:28,600 Speaker 1: I mean he was the lefty. 921 00:46:28,560 --> 00:46:31,360 Speaker 7: Ish yeah, now he does the sort of disaffected liberal 922 00:46:31,400 --> 00:46:33,720 Speaker 7: thing and I'm just a moderate calling balls and strikes. 923 00:46:34,040 --> 00:46:36,600 Speaker 7: He's sort of the most sycophantic of the all In crew. 924 00:46:36,640 --> 00:46:38,440 Speaker 7: And of the Musk Let. 925 00:46:38,320 --> 00:46:41,480 Speaker 2: The Record show. I rolled my eyes real hard. Continue. 926 00:46:41,520 --> 00:46:44,600 Speaker 7: He is, you know, one of Mus's great hangars on 927 00:46:44,880 --> 00:46:47,400 Speaker 7: and it's kind of no matter what his buddies do 928 00:46:47,600 --> 00:46:50,040 Speaker 7: or what Trump does, he'll just always kind of wave 929 00:46:50,080 --> 00:46:52,359 Speaker 7: it off. And I don't know who he voted for, 930 00:46:52,440 --> 00:46:55,319 Speaker 7: but he's trying to kind of make his audience think that, 931 00:46:55,560 --> 00:46:57,280 Speaker 7: you know, he could be friendly to liberals. 932 00:46:57,320 --> 00:47:02,160 Speaker 1: Again, he's the Fox News liberals. He's the Sean Colmes. 933 00:47:02,480 --> 00:47:05,239 Speaker 6: Yeah, very much so of that show. Yes, of all. 934 00:47:05,880 --> 00:47:09,520 Speaker 1: Thank you so much, Jacob. This is so interesting. I 935 00:47:09,600 --> 00:47:12,400 Speaker 1: was so into this interview because I'm just you know, 936 00:47:12,480 --> 00:47:15,760 Speaker 1: this is fascinating. Anyway, Thank you, Jacob. 937 00:47:15,960 --> 00:47:17,480 Speaker 6: Oh, sure thing, I appreciate it. 938 00:47:19,440 --> 00:47:24,440 Speaker 1: No moment, pet Jesse Cannon smile. 939 00:47:24,600 --> 00:47:25,799 Speaker 4: There is a big vote. 940 00:47:25,840 --> 00:47:28,160 Speaker 3: You know, when we oversay, we usually get over Trump's 941 00:47:28,160 --> 00:47:31,080 Speaker 3: executive orders and their ridiculousness is the Supreme Court. But 942 00:47:31,320 --> 00:47:34,960 Speaker 3: the House actually did some oversight over this and overturn 943 00:47:35,040 --> 00:47:36,320 Speaker 3: one of his executive orders. 944 00:47:36,600 --> 00:47:37,080 Speaker 6: Yeah. 945 00:47:37,200 --> 00:47:40,600 Speaker 1: So look, Mike Johnson is not good at his job, 946 00:47:40,880 --> 00:47:45,840 Speaker 1: and he has lost the power with his caucus, like 947 00:47:45,920 --> 00:47:48,440 Speaker 1: they have just had it and so now they're just 948 00:47:48,560 --> 00:47:51,800 Speaker 1: doing whatever they want. And again like props to Jared 949 00:47:51,840 --> 00:47:56,840 Speaker 1: Golden because, like he and Brian Fitzpatrick, Republican introduced the 950 00:47:56,880 --> 00:48:00,880 Speaker 1: Protect America's Workforce Act, which would restore union rights for 951 00:48:00,920 --> 00:48:04,200 Speaker 1: the nearly one million federal workers. This is something Trump stripped. 952 00:48:04,400 --> 00:48:08,160 Speaker 1: It corresponds with the Senate bill. If the Senate Democrats 953 00:48:08,200 --> 00:48:12,759 Speaker 1: and Independents back the measure, they would still need thirteen Republicans. 954 00:48:13,120 --> 00:48:16,600 Speaker 1: So look, are there thirteen Senate Republicans who will do shit? 955 00:48:16,840 --> 00:48:20,720 Speaker 2: Probably not, but like, this is really really good. 956 00:48:20,960 --> 00:48:25,560 Speaker 1: We'd like more of this, We'd like more of people 957 00:48:26,040 --> 00:48:30,560 Speaker 1: thinking outside of the current constraints. But this is exactly 958 00:48:30,600 --> 00:48:34,800 Speaker 1: how you solve problems. And I really really really really 959 00:48:34,840 --> 00:48:38,160 Speaker 1: want Democrats to keep doing stuff like this, to pass 960 00:48:38,560 --> 00:48:42,840 Speaker 1: discharge petitions, to get in it and protect people. 961 00:48:43,400 --> 00:48:45,640 Speaker 3: Might Do you have any thoughts on the reports that 962 00:48:45,719 --> 00:48:48,320 Speaker 3: Marjorie Taylor Green's going to try to oust Mike Johnson 963 00:48:48,320 --> 00:48:49,040 Speaker 3: before she goes. 964 00:48:49,280 --> 00:48:52,200 Speaker 2: I think it's good. I think good for our man. 965 00:48:52,560 --> 00:48:55,160 Speaker 4: Listen, welcome, TG you go girl. 966 00:48:55,200 --> 00:48:55,560 Speaker 2: Do it. 967 00:48:56,440 --> 00:49:00,799 Speaker 1: That's it for this episode of Fast Politics. Tune in 968 00:49:01,120 --> 00:49:06,560 Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best 969 00:49:06,640 --> 00:49:10,960 Speaker 1: minds and politics make sense of all this chaos. If 970 00:49:10,960 --> 00:49:14,040 Speaker 1: you enjoy this podcast, please send it to a friend 971 00:49:14,480 --> 00:49:16,080 Speaker 1: and keep the conversation going. 972 00:49:16,560 --> 00:49:17,680 Speaker 2: Thanks for listening.