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 --> 00:00:11,399 Speaker 1: today's best minds. And President Trump wants to add seven 4 00:00:11,560 --> 00:00:16,600 Speaker 1: trillion dollars to the already enormous thirty nine trillion dollar 5 00:00:17,000 --> 00:00:20,200 Speaker 1: national debt. We have such a great show for you today, 6 00:00:20,520 --> 00:00:25,680 Speaker 1: the Jim Acosta Shows. Jim Acostas inspry to talk about 7 00:00:25,920 --> 00:00:31,319 Speaker 1: Attorney General Pamela Bondy getting fired. Then we'll talk to 8 00:00:31,360 --> 00:00:34,840 Speaker 1: the New York Times Teddy Schleifer about all the dark 9 00:00:34,920 --> 00:00:39,440 Speaker 1: money pouring into our elections. But first the news, Mike. 10 00:00:39,320 --> 00:00:42,720 Speaker 2: Do you think it's a good thing that Susie Wilds, 11 00:00:42,800 --> 00:00:46,280 Speaker 2: Donald Trump's chief of staff, thinks that Trump is getting 12 00:00:46,280 --> 00:00:48,440 Speaker 2: smoke bone up as us about how great the war 13 00:00:48,560 --> 00:00:51,040 Speaker 2: is going and how popular he is. So she's like, 14 00:00:51,360 --> 00:00:53,040 Speaker 2: we have to get him a dose of reality and 15 00:00:53,080 --> 00:00:54,520 Speaker 2: get these people to stop talking him. 16 00:00:54,840 --> 00:00:55,760 Speaker 3: Seems kind of bad. 17 00:00:56,120 --> 00:01:00,280 Speaker 1: Yeah, So Donald Trump is getting these briefings that are 18 00:01:00,360 --> 00:01:04,440 Speaker 1: basically videos of things blowing up, and this is making 19 00:01:04,520 --> 00:01:07,160 Speaker 1: Donald Trump think the war is going much better than 20 00:01:07,200 --> 00:01:10,400 Speaker 1: it is. You worried about an information bubble, Well, this 21 00:01:10,480 --> 00:01:13,360 Speaker 1: is like an information bubble. Bubble, bubble, This is the 22 00:01:13,400 --> 00:01:17,319 Speaker 1: information bubble on steroids. This is where we are. Cuse 23 00:01:17,440 --> 00:01:23,280 Speaker 1: Wiles panicked Pentagon panicked people out there, you know, saying 24 00:01:23,440 --> 00:01:25,720 Speaker 1: it's not enough troops. You're not going to be able 25 00:01:25,760 --> 00:01:28,440 Speaker 1: to seize carg Island. If you do, those people are 26 00:01:28,480 --> 00:01:32,760 Speaker 1: sitting ducks. It's a really great example of just Donald 27 00:01:32,840 --> 00:01:36,920 Speaker 1: Trump being unable or unwilling to get the information he 28 00:01:37,040 --> 00:01:40,479 Speaker 1: needs to make decisions that aren't insane. Do you remember 29 00:01:40,480 --> 00:01:43,640 Speaker 1: in the first Trump administration when people would go on 30 00:01:43,760 --> 00:01:45,720 Speaker 1: Fox News so that he would see it. 31 00:01:46,000 --> 00:01:48,279 Speaker 3: Yes, yes, yes, yes, We're going to need. 32 00:01:48,200 --> 00:01:53,480 Speaker 1: Some of that now because this is just not going 33 00:01:53,560 --> 00:01:56,200 Speaker 1: to fucking work, and it is interesting to watch Seusee 34 00:01:56,200 --> 00:01:59,280 Speaker 1: Wiles freak out. I think we're going to see a 35 00:01:59,280 --> 00:02:03,920 Speaker 1: lot more lead because remember Trump didn't fire people, and 36 00:02:03,960 --> 00:02:06,800 Speaker 1: he didn't want people to get fired, partially because I 37 00:02:06,840 --> 00:02:10,560 Speaker 1: think he thought that if he didn't fire people, they 38 00:02:10,560 --> 00:02:14,720 Speaker 1: wouldn't leak and you wouldn't have this sort of cascade 39 00:02:14,800 --> 00:02:17,280 Speaker 1: of leaks we had the first time. But the thing 40 00:02:17,600 --> 00:02:24,000 Speaker 1: that Trump I think didn't realize was, first of all, 41 00:02:24,040 --> 00:02:26,600 Speaker 1: Trump was already leaking and people were already leaking. But 42 00:02:26,720 --> 00:02:30,880 Speaker 1: also there's just no way to keep people happy. In 43 00:02:30,880 --> 00:02:33,320 Speaker 1: this White House, there's so many people have so many 44 00:02:33,400 --> 00:02:37,920 Speaker 1: different ambitions, very few of which are serving the American people. 45 00:02:38,440 --> 00:02:40,000 Speaker 1: You know, there are people in there who want to 46 00:02:40,040 --> 00:02:42,480 Speaker 1: make money. There are people in there who want to 47 00:02:42,520 --> 00:02:46,680 Speaker 1: do racism, like Steven Miller. There are people in there 48 00:02:47,080 --> 00:02:53,640 Speaker 1: who want to, you know, enact generational conservative change in 49 00:02:53,720 --> 00:02:57,840 Speaker 1: the way that would make it so America's unrecognizable. Like, 50 00:02:58,200 --> 00:03:00,840 Speaker 1: there are just so many different designs. And one of 51 00:03:00,840 --> 00:03:05,600 Speaker 1: the ways that Donald Trump is able to stay in 52 00:03:05,639 --> 00:03:08,959 Speaker 1: the center is by playing people off each other. And 53 00:03:09,040 --> 00:03:12,040 Speaker 1: sooner or later those people get mad and start talking 54 00:03:12,080 --> 00:03:15,520 Speaker 1: the press. And so as we enter year two or 55 00:03:15,560 --> 00:03:17,720 Speaker 1: we're two months into year two or two and a 56 00:03:17,760 --> 00:03:19,560 Speaker 1: half months, we're going to see a lot more of 57 00:03:19,600 --> 00:03:20,240 Speaker 1: that kind of thing. 58 00:03:20,600 --> 00:03:23,400 Speaker 2: That sounds right to me. So a lot of people 59 00:03:23,480 --> 00:03:27,440 Speaker 2: are very very alarmed since Pete Heigsith has fired some 60 00:03:27,560 --> 00:03:29,720 Speaker 2: top generals right in the middle of a war that's 61 00:03:29,760 --> 00:03:30,800 Speaker 2: going terribly. 62 00:03:30,720 --> 00:03:33,519 Speaker 1: Yeah, there's really no precedent for this kind of thing. 63 00:03:33,720 --> 00:03:37,600 Speaker 1: And remember the disconnector we've seen is that the military 64 00:03:37,880 --> 00:03:41,160 Speaker 1: is able to do military stuff really well because they 65 00:03:41,200 --> 00:03:44,680 Speaker 1: have billions and billions of dollars and they have lots 66 00:03:44,720 --> 00:03:49,520 Speaker 1: of training and lots of smart people, but the leadership sucks, 67 00:03:50,040 --> 00:03:54,360 Speaker 1: and that's only getting worse and worse as we go 68 00:03:54,440 --> 00:03:58,640 Speaker 1: down this rabbit hole. So we see Heegsas trying to 69 00:03:58,680 --> 00:04:03,400 Speaker 1: fire people, been wanting to fire this army chief of 70 00:04:03,720 --> 00:04:09,320 Speaker 1: staff general because he thought that he was too woke. No, right, 71 00:04:09,400 --> 00:04:12,920 Speaker 1: because he believed in DEI or he supported Dei. By 72 00:04:12,960 --> 00:04:17,120 Speaker 1: the way, there's other reporting that shows that Hegsas refused 73 00:04:17,200 --> 00:04:23,680 Speaker 1: to promote a bunch of women and people who are black. Shocked, shocking, right, 74 00:04:23,800 --> 00:04:26,359 Speaker 1: So this is like the anti anti racism, which is 75 00:04:26,600 --> 00:04:30,599 Speaker 1: just racism in case you're wondering anti anti racism racism. 76 00:04:30,800 --> 00:04:33,400 Speaker 2: Yeah, you know, back when we were laughing about the 77 00:04:33,640 --> 00:04:36,600 Speaker 2: woke general stuff and you know, the idea of them 78 00:04:36,800 --> 00:04:40,880 Speaker 2: reading Belle Hooks and the Pentagon. You know, really really 79 00:04:40,880 --> 00:04:43,680 Speaker 2: got to laugh at this now. But okay, so with 80 00:04:43,800 --> 00:04:46,040 Speaker 2: this war that's going so well, it would make sense 81 00:04:46,040 --> 00:04:50,200 Speaker 2: that Trump wants another one point five trillion dollars for 82 00:04:50,560 --> 00:04:52,799 Speaker 2: the war in this next budget. 83 00:04:53,000 --> 00:04:56,719 Speaker 1: Yeah, and you know, like remember Trump cut all of 84 00:04:56,800 --> 00:05:00,520 Speaker 1: this funding for foreign aid, which wasn't even that much money. 85 00:05:00,920 --> 00:05:04,200 Speaker 1: You know, he cut when Elon mush came in there 86 00:05:04,520 --> 00:05:07,680 Speaker 1: he when he doged, he doged to save money, to 87 00:05:07,760 --> 00:05:12,240 Speaker 1: cut the to cut the deficit. Well, uh that I 88 00:05:12,279 --> 00:05:16,920 Speaker 1: guess that that's Scott that, you know, firing people for 89 00:05:17,400 --> 00:05:22,520 Speaker 1: having subscriptions to you know, zoom, and you know, cutting 90 00:05:22,720 --> 00:05:26,000 Speaker 1: all sorts of dumb shit that they actually needed. Well, 91 00:05:26,120 --> 00:05:29,800 Speaker 1: now they're going to ask for one point five trillion 92 00:05:29,880 --> 00:05:34,560 Speaker 1: dollars for budget request is just such an example of 93 00:05:34,600 --> 00:05:37,680 Speaker 1: how all of this was never about cutting budgets, how 94 00:05:37,680 --> 00:05:40,400 Speaker 1: it was never about the debt, how it was always 95 00:05:40,560 --> 00:05:45,839 Speaker 1: just about trying to fuck over people. I mean, remember, 96 00:05:46,040 --> 00:05:51,760 Speaker 1: they are undoing Medicaid expansion, they are making the ACA 97 00:05:52,279 --> 00:05:57,000 Speaker 1: tax credits less affordable, people are losing their healthcare, Rural 98 00:05:57,040 --> 00:06:01,360 Speaker 1: hospitals are closing, and it's all happening basically in the 99 00:06:01,480 --> 00:06:05,760 Speaker 1: name of cutting the deficit. Meanwhile, the military one to 100 00:06:05,880 --> 00:06:10,200 Speaker 1: one point five trillion dollars for a war that there's 101 00:06:10,240 --> 00:06:13,640 Speaker 1: no reason we're in a war of choice that makes 102 00:06:13,760 --> 00:06:17,080 Speaker 1: no sense, that has no rhyme or reason, is completely 103 00:06:17,360 --> 00:06:20,800 Speaker 1: insane and it accomplishes nothing. And we still haven't been 104 00:06:20,800 --> 00:06:22,599 Speaker 1: told why we got how we gotten it in the 105 00:06:22,600 --> 00:06:23,159 Speaker 1: first place. 106 00:06:23,480 --> 00:06:25,880 Speaker 2: Well, I think we were told. They just slipped up 107 00:06:25,920 --> 00:06:28,800 Speaker 2: when they said it to us. But okay, so every 108 00:06:28,800 --> 00:06:31,600 Speaker 2: once in a while Democrats, who you and I can, 109 00:06:31,680 --> 00:06:33,839 Speaker 2: have some problems with their messaging, they get sent to 110 00:06:33,880 --> 00:06:36,440 Speaker 2: gift by one. Mister Trump. I'm going to play you 111 00:06:36,440 --> 00:06:38,400 Speaker 2: a quote that I think is their great gift of 112 00:06:38,440 --> 00:06:39,240 Speaker 2: the midterms. 113 00:06:39,480 --> 00:06:43,240 Speaker 4: Because the United States can't take care of daycare. That 114 00:06:43,320 --> 00:06:45,840 Speaker 4: has to be up to a state. We can't take 115 00:06:45,880 --> 00:06:48,800 Speaker 4: care of daycare. We're a big country, we have fifty states, 116 00:06:48,839 --> 00:06:50,960 Speaker 4: we have all these other people who are fighting wars. 117 00:06:51,440 --> 00:06:54,080 Speaker 4: We can't take care of daycare. You got to let 118 00:06:54,160 --> 00:06:56,360 Speaker 4: us state take care of daycare, and they should pay 119 00:06:56,400 --> 00:06:59,159 Speaker 4: for it too. They should pay. They have to raise 120 00:06:59,200 --> 00:07:01,760 Speaker 4: their taxes, but they should pay for it. And we 121 00:07:01,760 --> 00:07:04,240 Speaker 4: could lower our taxes a little bit to them to 122 00:07:04,320 --> 00:07:06,960 Speaker 4: make up. But it's not possible for us to take 123 00:07:07,000 --> 00:07:12,280 Speaker 4: care of daycare, Medicaid, Medicare, all these individual things. They 124 00:07:12,280 --> 00:07:14,120 Speaker 4: can do it on a state basis. You can't do 125 00:07:14,160 --> 00:07:16,120 Speaker 4: it in a federal We have to take care of 126 00:07:16,160 --> 00:07:18,080 Speaker 4: one thing, military protection. 127 00:07:18,640 --> 00:07:22,720 Speaker 1: Yes, Donald Trump wants to have daycare. I think he 128 00:07:22,880 --> 00:07:25,160 Speaker 1: was confused and talking about somebody else. 129 00:07:25,240 --> 00:07:27,240 Speaker 2: Right now, trying to predict what's going on in that 130 00:07:27,320 --> 00:07:29,480 Speaker 2: crazy mind of it is worse than ever. 131 00:07:29,720 --> 00:07:33,920 Speaker 1: I mean, I don't know, I just it's so incredibly 132 00:07:34,560 --> 00:07:37,440 Speaker 1: like I'm just so sick of like staring at this 133 00:07:37,600 --> 00:07:41,480 Speaker 1: seventy nine year old who has never spent a day 134 00:07:41,600 --> 00:07:44,720 Speaker 1: in his life thinking about anyone who's not him, trying 135 00:07:44,720 --> 00:07:47,720 Speaker 1: to figure out what he means while he blows up 136 00:07:47,760 --> 00:07:52,080 Speaker 1: the fucking federal government. Like it's terrible. This is all 137 00:07:52,360 --> 00:07:56,960 Speaker 1: really bad. I don't know how we got here. I 138 00:07:57,080 --> 00:08:02,240 Speaker 1: wish we weren't here, and I can't believe we're still here. 139 00:08:02,840 --> 00:08:06,440 Speaker 1: And also like it just so dark, and you know, 140 00:08:07,160 --> 00:08:10,440 Speaker 1: I think it's bad. But yesterday I was on television 141 00:08:10,440 --> 00:08:14,160 Speaker 1: with Andrew Wiseman, and like I forgot what it's like 142 00:08:14,360 --> 00:08:17,440 Speaker 1: when you've worked in these institutions to watch Donald Trump, 143 00:08:17,680 --> 00:08:20,520 Speaker 1: Like I have never worked in the federal government. So 144 00:08:21,040 --> 00:08:24,280 Speaker 1: as much as I am sad watching him destroy it, 145 00:08:24,760 --> 00:08:27,400 Speaker 1: I don't have a horse in this race the way 146 00:08:27,520 --> 00:08:30,240 Speaker 1: people who worked in it do. And this sort of 147 00:08:30,800 --> 00:08:37,360 Speaker 1: just incredible sadness of watching them, having to just watch 148 00:08:37,480 --> 00:08:41,280 Speaker 1: this carnage that Donald Trump has wrought on all of us. 149 00:08:41,440 --> 00:08:49,520 Speaker 1: It is real, real depressive. Jim Acosta is the host 150 00:08:49,520 --> 00:08:52,360 Speaker 1: of Substacks. The Jim Acosta Show and the author of 151 00:08:52,360 --> 00:08:54,760 Speaker 1: the New York Times bestseller The Enemy of the People, 152 00:08:54,960 --> 00:08:58,240 Speaker 1: A Dangerous Time to tell the trues in America. Welcome, Welcome, 153 00:08:58,800 --> 00:09:02,920 Speaker 1: jimmycus be Black. I'm good. 154 00:09:03,200 --> 00:09:05,680 Speaker 3: You know what could be what could possibly be a 155 00:09:05,760 --> 00:09:07,880 Speaker 3: problem right now? Why would I why would I be 156 00:09:07,960 --> 00:09:10,280 Speaker 3: other than like perfectly happy in this moment. 157 00:09:10,679 --> 00:09:16,200 Speaker 1: You're live from the rooftops of Washington, DC, where one 158 00:09:17,280 --> 00:09:23,040 Speaker 1: Pamela Jill Bondi has been fired and is now in Florida, unreal, 159 00:09:23,679 --> 00:09:28,960 Speaker 1: replaced by Trump presidential lawyer Pad Blanche. Discussion. 160 00:09:29,040 --> 00:09:33,720 Speaker 3: Yeah, yeah, I mean, and apparently Todd Blanche has already said, hey, 161 00:09:33,920 --> 00:09:36,360 Speaker 3: you know, the Justice Department doesn't need to be involved 162 00:09:36,360 --> 00:09:39,200 Speaker 3: in the Epstein files. So I guess we're kind of 163 00:09:39,240 --> 00:09:42,720 Speaker 3: done with this. He's signaling that, you know, he doesn't 164 00:09:42,720 --> 00:09:45,160 Speaker 3: want to really deal with this anymore. I'm sorry. When 165 00:09:45,200 --> 00:09:47,920 Speaker 3: there are still millions of files that have not been 166 00:09:47,960 --> 00:09:50,199 Speaker 3: released to the public, when they're still not in compliance 167 00:09:50,200 --> 00:09:51,680 Speaker 3: with the law that was passed, I think we have 168 00:09:51,720 --> 00:09:54,400 Speaker 3: a problem. And I just you know, here's my question, 169 00:09:54,880 --> 00:09:56,800 Speaker 3: is pam Bondi is still going to testify or are 170 00:09:56,800 --> 00:09:58,920 Speaker 3: they going to play this game that they played with 171 00:09:59,000 --> 00:10:02,000 Speaker 3: the January sixth, and she's going to be in the secure, 172 00:10:02,040 --> 00:10:04,800 Speaker 3: undisclosed location. You know, they all just need to be 173 00:10:04,840 --> 00:10:06,839 Speaker 3: brought to court. It seems to me like, you know, 174 00:10:06,920 --> 00:10:09,720 Speaker 3: lawsuits need to be filed. Democrats are going to have 175 00:10:09,760 --> 00:10:12,320 Speaker 3: to get I think I think a lot of this 176 00:10:12,400 --> 00:10:14,200 Speaker 3: has to do with the Epstein files, the fact that 177 00:10:14,240 --> 00:10:18,800 Speaker 3: Pam Bondi got tossed under the bus. But I don't know, 178 00:10:18,880 --> 00:10:19,440 Speaker 3: what do you think? 179 00:10:19,480 --> 00:10:23,640 Speaker 1: Well, I mean it's known as the original sin in 180 00:10:23,679 --> 00:10:26,360 Speaker 1: all the reporting I've now read the Wall Street Journal, 181 00:10:26,400 --> 00:10:33,479 Speaker 1: the New York Times and The Atlantic and. 182 00:10:33,320 --> 00:10:34,920 Speaker 3: The Washington Post a thing. 183 00:10:35,200 --> 00:10:38,960 Speaker 1: Yeah, it all says two things to me. One, this 184 00:10:39,160 --> 00:10:42,800 Speaker 1: is gonna be a fucking leaky ship now, like all 185 00:10:43,000 --> 00:10:45,720 Speaker 1: the Trump one point zero stuff where it's like you 186 00:10:45,800 --> 00:10:50,040 Speaker 1: have fifteen sources telling you exactly what happened. That's what 187 00:10:50,080 --> 00:10:52,760 Speaker 1: you're seeing the beginning of Like they're in the Beast 188 00:10:53,240 --> 00:10:55,959 Speaker 1: and she is saying on the way to the Supreme Court, 189 00:10:56,040 --> 00:11:00,000 Speaker 1: please please don't fire metal this summer and five different stories. 190 00:11:00,280 --> 00:11:03,920 Speaker 1: That means the President, Bondie, the driver. 191 00:11:03,800 --> 00:11:06,720 Speaker 3: I mean Boris Epstein. When I saw his name, I 192 00:11:06,800 --> 00:11:07,360 Speaker 3: was like, oh. 193 00:11:08,679 --> 00:11:12,040 Speaker 1: Yeah, Boris was never a fan. I mean, like it 194 00:11:12,080 --> 00:11:15,719 Speaker 1: is the fucking leakiest of leak. Like you look in 195 00:11:15,840 --> 00:11:20,920 Speaker 1: his right. You are going to see pulitzerprise reporting from 196 00:11:21,080 --> 00:11:24,280 Speaker 1: every outlet from now on, because you know, remember how 197 00:11:24,320 --> 00:11:27,360 Speaker 1: the how Donald Trump during when he's after the war, 198 00:11:27,400 --> 00:11:30,520 Speaker 1: he started just calling everyone in the world, Yes, you're 199 00:11:30,559 --> 00:11:31,360 Speaker 1: still doing that. 200 00:11:32,000 --> 00:11:34,520 Speaker 3: No, And I to me a couple of things. One is, 201 00:11:35,200 --> 00:11:38,520 Speaker 3: you know, so, so we're gonna we're gonna enter into 202 00:11:38,800 --> 00:11:43,640 Speaker 3: the summer here pretty soon without prosecuting any pedophiles. No, 203 00:11:43,800 --> 00:11:46,559 Speaker 3: the Epstein files, but we have we have tried to 204 00:11:46,679 --> 00:11:50,280 Speaker 3: prosecute Jim Comey and Leticia James. I mean, that's the 205 00:11:50,320 --> 00:11:53,440 Speaker 3: moral of the story. And these stories about Pam Bondi's 206 00:11:53,480 --> 00:11:56,959 Speaker 3: firing is that Trump wanted the Epstein files covered up, 207 00:11:57,280 --> 00:12:01,320 Speaker 3: and he wanted his enemies prosecuted. And so that is 208 00:12:01,480 --> 00:12:05,520 Speaker 3: madness of King George shit. And the other evidence of 209 00:12:05,600 --> 00:12:08,480 Speaker 3: madness of King George shit where end days of Stalin 210 00:12:08,559 --> 00:12:11,640 Speaker 3: shit is that he apparently wants to fire four or 211 00:12:11,640 --> 00:12:14,840 Speaker 3: five or six different cabinet members. Right now as we speak, 212 00:12:15,120 --> 00:12:16,520 Speaker 3: He's just fired Christy Nome. 213 00:12:17,040 --> 00:12:22,240 Speaker 1: We learn about Shavez Streamer. Your days are numbered, continues. 214 00:12:21,880 --> 00:12:28,000 Speaker 3: Pulci Gabbard, Pam Bondi cash popped up, So he's Trump 215 00:12:28,080 --> 00:12:31,000 Speaker 3: is looking in every direction because he's got himself in 216 00:12:31,040 --> 00:12:34,320 Speaker 3: this quagmire. He started the Iran War to cover up 217 00:12:34,360 --> 00:12:37,000 Speaker 3: the Epstein files, and now he's firing people to cover 218 00:12:37,080 --> 00:12:39,960 Speaker 3: up the Iran war. And that's where we are right now. 219 00:12:40,000 --> 00:12:41,480 Speaker 3: He's spiraling heard. 220 00:12:41,800 --> 00:12:43,920 Speaker 1: But you know what, the good news about this summer 221 00:12:44,080 --> 00:12:48,240 Speaker 1: is you'll be able to fill up your car with 222 00:12:48,520 --> 00:12:53,120 Speaker 1: seven dollars a gallon gas and drive to the airport. 223 00:12:53,160 --> 00:12:57,400 Speaker 1: Will you will wait online for ten or eleven hours 224 00:12:57,880 --> 00:12:59,360 Speaker 1: to try to get through TSA. 225 00:13:00,080 --> 00:13:02,160 Speaker 3: Nobody can go on vacation this summer. Everybody's going to 226 00:13:02,160 --> 00:13:02,880 Speaker 3: be trapped at home. 227 00:13:03,480 --> 00:13:06,960 Speaker 1: The good news is we'll be too poor to go 228 00:13:07,040 --> 00:13:07,800 Speaker 1: on vacation. 229 00:13:08,440 --> 00:13:10,400 Speaker 3: Yeah, you could take out a mortgage to pay for 230 00:13:10,440 --> 00:13:12,840 Speaker 3: your vacation, but the mortgage rates are going back up again, 231 00:13:12,920 --> 00:13:18,320 Speaker 3: so you're screwed there too. Sorry, America. You know this. 232 00:13:18,320 --> 00:13:21,800 Speaker 3: This is what a lot of us warned that if 233 00:13:21,840 --> 00:13:24,120 Speaker 3: Donald Trump got back into the White House it was 234 00:13:24,160 --> 00:13:27,120 Speaker 3: going to be a goddamn shit show on steroids, and 235 00:13:27,120 --> 00:13:28,400 Speaker 3: that it was going to be worse than the first 236 00:13:28,440 --> 00:13:31,920 Speaker 3: time around. And that's exactly what's happened. 237 00:13:32,280 --> 00:13:35,959 Speaker 1: Yeah, the Wall Street Journal has really good reporting about 238 00:13:36,240 --> 00:13:41,600 Speaker 1: the Iranian National Guard. Let me tell you, those guys 239 00:13:41,960 --> 00:13:47,120 Speaker 1: like talk about asymmetrical warfare, like they're recruiting eleven and 240 00:13:47,280 --> 00:13:52,120 Speaker 1: twelve year olds to serve in their military. There are millions. 241 00:13:52,320 --> 00:13:55,760 Speaker 1: It's the size of like basically California. 242 00:13:56,280 --> 00:13:58,120 Speaker 3: It's ninety million people, right, something like that. 243 00:13:58,480 --> 00:14:02,000 Speaker 1: Yeah, it's hugely populous. So it's bigger than California. 244 00:14:02,040 --> 00:14:04,840 Speaker 3: We've killed I think fifteen hundred of those people. Yeah, 245 00:14:04,840 --> 00:14:07,959 Speaker 3: so there's eighty nine million, nine hundred and ninety five 246 00:14:08,040 --> 00:14:10,200 Speaker 3: thousand left something like that. 247 00:14:10,559 --> 00:14:13,880 Speaker 1: And they're real mad and they're gonna be a lot 248 00:14:14,040 --> 00:14:18,040 Speaker 1: madter when Donald Trump sends in troops if he does, 249 00:14:18,120 --> 00:14:22,160 Speaker 1: which we hope he doesn't. He tried to reassure the nation. 250 00:14:23,440 --> 00:14:26,160 Speaker 1: That didn't really work, No, and that. 251 00:14:26,160 --> 00:14:29,000 Speaker 3: Speech was a total disaster. I mean, you know, it 252 00:14:29,200 --> 00:14:33,440 Speaker 3: was one truth social rant after another. You know, he 253 00:14:33,520 --> 00:14:36,560 Speaker 3: managed to say Barack Hussein Obama. That's when he says 254 00:14:36,560 --> 00:14:39,760 Speaker 3: Barack Hussein Obama. You know he's he's in trouble. You 255 00:14:39,880 --> 00:14:42,920 Speaker 3: know that what's going on inside his mind is not 256 00:14:43,000 --> 00:14:46,360 Speaker 3: a good place. Ye and you know he's not feeling 257 00:14:47,160 --> 00:14:50,120 Speaker 3: very good about where things stand. And you know when 258 00:14:50,120 --> 00:14:53,640 Speaker 3: he you know, he's saying things like the straight up 259 00:14:53,640 --> 00:14:56,760 Speaker 3: hor moves will open up naturally, which sounds exactly like, 260 00:14:57,200 --> 00:14:59,400 Speaker 3: you know, COVID. It's like a it's like a miracle. 261 00:14:59,400 --> 00:15:02,080 Speaker 3: It's just going to disappear. It's the same. We'll be 262 00:15:02,200 --> 00:15:07,120 Speaker 3: rocking and rolling at Easter continue he's gotten. I think 263 00:15:07,160 --> 00:15:10,880 Speaker 3: this is his second term COVID. Iran is the second 264 00:15:11,000 --> 00:15:14,000 Speaker 3: term COVID. And we're all going to have to stick 265 00:15:14,040 --> 00:15:16,840 Speaker 3: a light bulb up our ass and inject bleach into 266 00:15:16,880 --> 00:15:20,240 Speaker 3: our arms to make the Iran war go away by 267 00:15:20,320 --> 00:15:24,080 Speaker 3: the end of this. And you know, again, I hate 268 00:15:24,080 --> 00:15:26,440 Speaker 3: to say I told you so. Not that I'm saying 269 00:15:26,640 --> 00:15:28,080 Speaker 3: I told you so to you, Molly or the people 270 00:15:28,080 --> 00:15:30,600 Speaker 3: who are watching, but god damn, I told everybody so well. 271 00:15:30,840 --> 00:15:33,000 Speaker 3: This thing was going to be a shit show to watch. 272 00:15:33,120 --> 00:15:40,080 Speaker 1: The manosphere, Yeah, be like, oh, this might not have 273 00:15:40,120 --> 00:15:42,840 Speaker 1: been the best of you. You're like, really, You're like, 274 00:15:43,760 --> 00:15:45,640 Speaker 1: what qu do about this? 275 00:15:46,840 --> 00:15:49,320 Speaker 3: But I want to It's hard to listen to that, 276 00:15:49,440 --> 00:15:51,200 Speaker 3: but yes, yeah. 277 00:15:50,680 --> 00:15:56,120 Speaker 1: I want to get back to, uh, the Trump staffing situation. 278 00:15:56,520 --> 00:16:01,120 Speaker 1: So Todd Glance is the acting agn Trump is floating 279 00:16:01,240 --> 00:16:07,520 Speaker 1: other names. Yes, my favorite of them. You know who's 280 00:16:07,520 --> 00:16:09,400 Speaker 1: going to be my favorite, right is it? 281 00:16:09,480 --> 00:16:10,720 Speaker 3: Judge Janine Piro. 282 00:16:11,000 --> 00:16:17,520 Speaker 1: Judge Box of Wine, Judge Box News host God, Judge 283 00:16:17,560 --> 00:16:20,360 Speaker 1: Box of Wine discuss Well, I. 284 00:16:20,320 --> 00:16:22,920 Speaker 3: Mean, listen, the bar is open. I guess over at 285 00:16:23,000 --> 00:16:26,800 Speaker 3: the Department of Justice, maybe in addition to the giant 286 00:16:27,040 --> 00:16:29,760 Speaker 3: banner of Donald Trump that they hang outside the Department 287 00:16:29,760 --> 00:16:32,440 Speaker 3: of Justice, there'll be another giant banner that says, you know, 288 00:16:32,560 --> 00:16:35,359 Speaker 3: happy Hour. You know, it'll have the happy Hour specials. 289 00:16:35,520 --> 00:16:38,840 Speaker 1: They're going to be a huge margarita in the lobby, 290 00:16:39,120 --> 00:16:42,520 Speaker 1: that's right, you know, big frozen margaritas and free nachos 291 00:16:42,520 --> 00:16:45,400 Speaker 1: from three to six at the Department of Justice, and 292 00:16:45,480 --> 00:16:46,920 Speaker 1: it'll just be like a Chili's. 293 00:16:47,120 --> 00:16:50,080 Speaker 3: Yeah, basically they'll combine it with the Chili's. DC could 294 00:16:50,120 --> 00:16:52,160 Speaker 3: be more fun when you think about it. There's just 295 00:16:52,200 --> 00:16:55,480 Speaker 3: no question Trunk as Atorney General all the time. She's 296 00:16:55,520 --> 00:16:57,720 Speaker 3: done a bang up job over at the US Attorney's Office. 297 00:16:58,000 --> 00:17:01,720 Speaker 3: Oh yeah, why wouldn't she Just it's a natural transition 298 00:17:02,280 --> 00:17:05,240 Speaker 3: from the US's Runny's office in the Department of Justice. 299 00:17:05,440 --> 00:17:07,840 Speaker 3: But I mean, you know, the Fox News cabinet has 300 00:17:07,840 --> 00:17:10,760 Speaker 3: worked so well so far, Pete Hegseth over at the Pentagon, 301 00:17:11,040 --> 00:17:13,760 Speaker 3: you know, Sean Duffy at the Department of Transportation, everywhere 302 00:17:13,800 --> 00:17:16,400 Speaker 3: you look, where they put a Fox host as a 303 00:17:16,520 --> 00:17:18,760 Speaker 3: department head. Things have gone really well. 304 00:17:18,840 --> 00:17:22,640 Speaker 1: So why can't Oh yeah, I mean I think we're 305 00:17:22,680 --> 00:17:28,119 Speaker 1: clearly I think the phrases nailed it exactly. Yeah. So 306 00:17:28,520 --> 00:17:33,240 Speaker 1: we have this situation where Trump has he wants to 307 00:17:33,280 --> 00:17:37,640 Speaker 1: fire Lori Chavez Dreamer, he wants to He may fire 308 00:17:38,000 --> 00:17:43,439 Speaker 1: Tulsi Gabbard, he may fire Cash Battal, he may just 309 00:17:43,720 --> 00:17:46,159 Speaker 1: keep firing. I mean, do we think this is I 310 00:17:46,200 --> 00:17:47,840 Speaker 1: want you to Is this to distract? 311 00:17:48,280 --> 00:17:50,320 Speaker 3: I think so? Yeah. I mean what I remember from 312 00:17:50,320 --> 00:17:54,520 Speaker 3: the first term, and remember pretty vividly, is that the 313 00:17:54,560 --> 00:17:58,760 Speaker 3: staffing distractions. The staffing. You know there's another staffing shake up. 314 00:17:58,840 --> 00:18:02,119 Speaker 3: You know, this is breaking news. You know there's a 315 00:18:02,119 --> 00:18:05,160 Speaker 3: shake up over at this department that it's almost always 316 00:18:05,240 --> 00:18:08,360 Speaker 3: used as a distraction. And so you know, that's why 317 00:18:08,359 --> 00:18:09,920 Speaker 3: I was saying, you know, I think Iran war is 318 00:18:09,920 --> 00:18:11,960 Speaker 3: a distraction, and the epsent files and now the staff 319 00:18:12,000 --> 00:18:15,080 Speaker 3: turmoil is a distraction for the Iran war. I think that, 320 00:18:15,560 --> 00:18:17,439 Speaker 3: you know, I'm a little surprised that we haven't had 321 00:18:17,480 --> 00:18:21,920 Speaker 3: a conversation about Lori Chavez Dreamer sooner. I mean, right 322 00:18:22,320 --> 00:18:25,160 Speaker 3: there a whole I guess since its Department of Labor. 323 00:18:25,200 --> 00:18:28,760 Speaker 3: We don't care about the the telenovela that's been happening 324 00:18:28,800 --> 00:18:31,840 Speaker 3: over there, but apparently that's been a real shit show too. 325 00:18:32,200 --> 00:18:35,600 Speaker 1: Well. Her husband is sexually harassing people in the department, 326 00:18:35,800 --> 00:18:37,359 Speaker 1: right is that. 327 00:18:36,800 --> 00:18:41,320 Speaker 3: That's sort of the There are allegations of chickannery happening 328 00:18:41,359 --> 00:18:45,160 Speaker 3: at multiple levels over there, and that's like in any 329 00:18:45,160 --> 00:18:47,879 Speaker 3: other administration, we would have a field day talking about 330 00:18:48,040 --> 00:18:49,960 Speaker 3: everything happening at the Department of Labor. We don't have 331 00:18:50,000 --> 00:18:52,840 Speaker 3: time for that because, you know, shit Rock is having 332 00:18:52,840 --> 00:18:56,639 Speaker 3: an Apache helicopter hanging out over at his house in Nashville, 333 00:18:56,720 --> 00:18:59,280 Speaker 3: and then the army wants to investigate it, and then 334 00:18:59,280 --> 00:19:02,400 Speaker 3: Pete Hexas says, never mind, we're not going to have investigations. 335 00:19:02,440 --> 00:19:06,920 Speaker 1: So but we're going to fire the guy who's who 336 00:19:07,080 --> 00:19:10,440 Speaker 1: suspended the guys who did the flyby. 337 00:19:10,080 --> 00:19:12,600 Speaker 3: Continue, And how is it that Pete Hegseth has a 338 00:19:12,720 --> 00:19:17,200 Speaker 3: job and and these other cabinet members are on than ice. 339 00:19:17,600 --> 00:19:21,240 Speaker 3: That to me doesn't compute either. But getting back to 340 00:19:21,280 --> 00:19:23,199 Speaker 3: Laurie Shabaz, I was wondering today when I saw the 341 00:19:23,240 --> 00:19:25,600 Speaker 3: jobs numbers, I was like, well, maybe maybe her job 342 00:19:25,680 --> 00:19:29,760 Speaker 3: is safe for a couple more months. The job numbers, Look, 343 00:19:29,760 --> 00:19:31,160 Speaker 3: we're pretty perky over there. 344 00:19:31,320 --> 00:19:36,679 Speaker 1: Yeah, the job numbers were shockingly good, which is but 345 00:19:36,920 --> 00:19:39,840 Speaker 1: some revisions. I mean, you know, it is the fact 346 00:19:39,880 --> 00:19:43,200 Speaker 1: that Donald Trump has taken like a perfectly fine economy 347 00:19:43,320 --> 00:19:46,840 Speaker 1: and somehow managed to and then he was like and 348 00:19:46,880 --> 00:19:51,240 Speaker 1: then he was like, uh, he may do more tariffs. 349 00:19:51,280 --> 00:19:54,720 Speaker 1: Like the thing we've clearly seen, like what we saw 350 00:19:54,800 --> 00:19:57,960 Speaker 1: this week with the numbers for manufacturing is that like 351 00:19:58,080 --> 00:20:02,200 Speaker 1: tariffs don't work. They don't on shore manufacturer. And so 352 00:20:02,280 --> 00:20:04,800 Speaker 1: Trump did a whole group of new tarras well. 353 00:20:04,840 --> 00:20:07,040 Speaker 3: And the other thing too is in addition to that 354 00:20:07,280 --> 00:20:11,480 Speaker 3: is these jobs numbers, they could be a lagging indicator, right, 355 00:20:11,560 --> 00:20:14,440 Speaker 3: I mean, that's what was going on last month. What's 356 00:20:14,520 --> 00:20:17,480 Speaker 3: going to be going on this month? If the economy 357 00:20:17,520 --> 00:20:21,359 Speaker 3: continues to suffer from from you know, these inflationary pressures 358 00:20:21,840 --> 00:20:24,800 Speaker 3: and folks, if you have five, six, seven dollars a 359 00:20:24,840 --> 00:20:29,440 Speaker 3: gallon gasoline, that's going to have ripple effects all across 360 00:20:29,480 --> 00:20:32,840 Speaker 3: the economy. It's going to it's going to cause the 361 00:20:32,880 --> 00:20:34,479 Speaker 3: FED to say, hey, wait a minute, we better at 362 00:20:34,520 --> 00:20:38,720 Speaker 3: lower interest rates. And there's already talk of recession for 363 00:20:38,880 --> 00:20:41,480 Speaker 3: the economy. And so you know, enjoy the one hundred 364 00:20:41,520 --> 00:20:45,119 Speaker 3: and seventy some one thousand jobs that were created last month, 365 00:20:45,480 --> 00:20:48,000 Speaker 3: because something tells me that's going to get revised downward 366 00:20:48,480 --> 00:20:50,800 Speaker 3: and the next several months ain't going to be good. 367 00:20:51,119 --> 00:20:53,720 Speaker 3: If people can't afford to go on vacation because the 368 00:20:53,760 --> 00:20:56,400 Speaker 3: gas is too high and the lines at the airport 369 00:20:56,480 --> 00:21:00,440 Speaker 3: are insufferable, then what happens to the tourism industry? What 370 00:21:00,600 --> 00:21:03,440 Speaker 3: I mean, all of those and nothing good? Nothing good. 371 00:21:03,600 --> 00:21:08,879 Speaker 3: So you know, yeah, something tells me that his goose 372 00:21:08,960 --> 00:21:11,160 Speaker 3: is cooked even more than it is right now. 373 00:21:12,240 --> 00:21:16,360 Speaker 1: Yeah, And I think that it's really important to when 374 00:21:16,400 --> 00:21:20,080 Speaker 1: we look at this, to like say the truth, which 375 00:21:20,080 --> 00:21:22,280 Speaker 1: is that a lot of this is self inflicted. Like 376 00:21:22,440 --> 00:21:25,600 Speaker 1: Donald Trump really, yeah, none of this need to happen, 377 00:21:25,800 --> 00:21:28,720 Speaker 1: Like I didn't need to do tariffs, you didn't need 378 00:21:28,760 --> 00:21:31,680 Speaker 1: to do the Iran war. There's a lot of reasons 379 00:21:31,760 --> 00:21:34,760 Speaker 1: not to do the Iran war, and you didn't need to. Like, 380 00:21:35,000 --> 00:21:38,560 Speaker 1: all of this continues to be self inflicted. 381 00:21:38,520 --> 00:21:42,360 Speaker 3: And the economists they've had the best magazine covers. There 382 00:21:42,400 --> 00:21:45,919 Speaker 3: was one just with she kind of smiling at Trump 383 00:21:46,040 --> 00:21:48,000 Speaker 3: looking like a fool and saying, you know, never help 384 00:21:48,040 --> 00:21:52,320 Speaker 3: your adversary when they're doing themselves already. And then the 385 00:21:52,359 --> 00:21:55,600 Speaker 3: other one with the blind fury and helmets on backwards 386 00:21:55,880 --> 00:21:58,399 Speaker 3: Trump looks like Benny Hill. I mean, it's so true. 387 00:21:58,480 --> 00:22:00,480 Speaker 3: The rest of the world is they have. It's like 388 00:22:00,520 --> 00:22:03,160 Speaker 3: a face palm while laughing at us. At the same time. 389 00:22:03,680 --> 00:22:06,359 Speaker 3: Did you see what Emmanuel Macrone, the French president, was 390 00:22:06,400 --> 00:22:09,040 Speaker 3: saying just in the last couple of days. He was saying, 391 00:22:09,040 --> 00:22:10,919 Speaker 3: you know, maybe you should just stop talking. That's what 392 00:22:11,000 --> 00:22:14,159 Speaker 3: he said about Donald Trump, that maybe he should You 393 00:22:14,200 --> 00:22:16,680 Speaker 3: don't don't say things one day that contradicts what you 394 00:22:16,720 --> 00:22:19,520 Speaker 3: said the previous day, right, and maybe you should stop talking. 395 00:22:20,280 --> 00:22:20,480 Speaker 1: Right. 396 00:22:20,560 --> 00:22:24,199 Speaker 3: I mean we would say to a friend, yes, too 397 00:22:24,280 --> 00:22:26,240 Speaker 3: much trouble at work, but it is. 398 00:22:26,480 --> 00:22:30,399 Speaker 1: But it's like, you know, he was so negative on NATO, 399 00:22:30,680 --> 00:22:34,320 Speaker 1: and he came out of the gate like NATO socks, 400 00:22:34,760 --> 00:22:38,080 Speaker 1: NATO's the worst, decided that he was going to go 401 00:22:38,480 --> 00:22:44,240 Speaker 1: into Greenland maybe to mess up NATO. And then he 402 00:22:44,560 --> 00:22:48,520 Speaker 1: goes into Iran and is like why it won't NATO 403 00:22:48,760 --> 00:22:49,119 Speaker 1: help me. 404 00:22:50,520 --> 00:22:53,400 Speaker 3: Yeah, nobody wants to clean up his dirty diapers anymore. 405 00:22:53,480 --> 00:22:55,960 Speaker 3: They've had it. They had it after the first term. 406 00:22:56,080 --> 00:22:58,280 Speaker 3: They were angry with the United States for putting him 407 00:22:58,280 --> 00:23:02,440 Speaker 3: back in office. Now they it's like they don't want 408 00:23:02,440 --> 00:23:05,000 Speaker 3: to deal with it. It's sort of like when you 409 00:23:05,040 --> 00:23:07,520 Speaker 3: live next door to, you know, a house that's been 410 00:23:07,520 --> 00:23:10,399 Speaker 3: turned into a hotel. You know, you want to build 411 00:23:10,400 --> 00:23:13,159 Speaker 3: the tallest hedges. You want to plant the tallest hedges 412 00:23:13,200 --> 00:23:15,399 Speaker 3: and that build the tallest fence that you can and 413 00:23:15,480 --> 00:23:18,000 Speaker 3: just block it out. That's what the rest of the 414 00:23:18,080 --> 00:23:20,679 Speaker 3: world is doing right now. They're planning the tallest fucking 415 00:23:20,720 --> 00:23:24,840 Speaker 3: hedges they can find to just blocked out Donald Trump's nonsense. 416 00:23:25,280 --> 00:23:28,840 Speaker 3: He's the guy next door who who insists on like 417 00:23:28,920 --> 00:23:32,919 Speaker 3: barbecuing with his mangy ass robe on and playing his 418 00:23:33,040 --> 00:23:35,360 Speaker 3: music too loud, and you just don't want any more 419 00:23:35,400 --> 00:23:35,720 Speaker 3: of it. 420 00:23:36,440 --> 00:23:39,200 Speaker 1: And the problem and I and I think the problem 421 00:23:39,200 --> 00:23:43,240 Speaker 1: with living over a meth lab is that sooner or later, 422 00:23:44,160 --> 00:23:47,160 Speaker 1: and especially an enormous you know, Donald Trump is basically 423 00:23:47,160 --> 00:23:50,439 Speaker 1: turned American into an enormous meth lab. So you know, 424 00:23:50,480 --> 00:23:53,760 Speaker 1: we are an enormous country. So when we do things 425 00:23:53,840 --> 00:23:57,160 Speaker 1: when we sneeze, you know, Catada gets a cold, and 426 00:23:57,240 --> 00:24:04,720 Speaker 1: so it is really it is really a problem to 427 00:24:05,000 --> 00:24:08,560 Speaker 1: have a country that's completely lost its mind. That's so 428 00:24:08,720 --> 00:24:13,480 Speaker 1: big because what we do affects other countries trade wise, 429 00:24:13,960 --> 00:24:18,320 Speaker 1: oil wise, especially if we're invading various countries all the time. 430 00:24:18,720 --> 00:24:21,240 Speaker 3: I know, and you know, and it doesn't matter if 431 00:24:21,320 --> 00:24:24,399 Speaker 3: you and I travel to Europe and say, gosh, how 432 00:24:24,440 --> 00:24:26,800 Speaker 3: about that Trump, you know, in your real son of 433 00:24:26,840 --> 00:24:31,520 Speaker 3: a bitch. The Europeans get mad at us too. We 434 00:24:31,520 --> 00:24:34,000 Speaker 3: don't get a jail get out of jail free card, Molly, 435 00:24:34,040 --> 00:24:39,320 Speaker 3: you and I even though we are of then president, 436 00:24:39,920 --> 00:24:43,720 Speaker 3: you're so mad. People are so angry with us. One 437 00:24:43,720 --> 00:24:46,040 Speaker 3: of my favorite stories I don't think got enough coverage 438 00:24:46,680 --> 00:24:49,760 Speaker 3: was that you know that the Danes, that the Danish 439 00:24:49,760 --> 00:24:53,560 Speaker 3: head like they were preparing for Trump to invade Greenland 440 00:24:54,160 --> 00:24:56,639 Speaker 3: by you know, they were getting like blood supplies and 441 00:24:56,640 --> 00:25:00,000 Speaker 3: they're getting ready to blow up their runways because they 442 00:25:00,080 --> 00:25:03,400 Speaker 3: didn't want us, you know, troops to start landing. I mean, 443 00:25:03,840 --> 00:25:09,280 Speaker 3: that's how no freak out everybody is about what's happening 444 00:25:09,320 --> 00:25:09,680 Speaker 3: right now. 445 00:25:09,960 --> 00:25:12,960 Speaker 1: We are this is and again it is this mad 446 00:25:13,080 --> 00:25:17,320 Speaker 1: king thing we had last time where we were like 447 00:25:17,480 --> 00:25:20,199 Speaker 1: we are hostage to a mad king, and we just 448 00:25:20,480 --> 00:25:23,520 Speaker 1: did it again for what the reason? 449 00:25:24,200 --> 00:25:26,680 Speaker 3: And maybe I'm bringing this up too soon to the 450 00:25:26,760 --> 00:25:28,520 Speaker 3: end of our time together. We could talk about on 451 00:25:28,560 --> 00:25:33,160 Speaker 3: a different episode, But that is why my show. My 452 00:25:33,600 --> 00:25:36,520 Speaker 3: personal opinion is that the Democratic candidates need to get 453 00:25:36,520 --> 00:25:40,639 Speaker 3: out there and start talking about real democratic reforms for 454 00:25:40,800 --> 00:25:42,879 Speaker 3: the future that we need. I mean, I saw a 455 00:25:42,920 --> 00:25:45,000 Speaker 3: story today, Molly that said that Trump might get two 456 00:25:45,040 --> 00:25:48,120 Speaker 3: more Supreme Court justices and he's probably going to put 457 00:25:48,240 --> 00:25:52,480 Speaker 3: Emma Beave and Todd Blanche or Alien Cannon's So you 458 00:25:52,560 --> 00:25:56,040 Speaker 3: got to start talking about term limits for justices, talking 459 00:25:56,040 --> 00:25:59,200 Speaker 3: about expanding the court. Democrats have to stop being afraid 460 00:25:59,200 --> 00:26:02,439 Speaker 3: of having these kinds of conversations, and we have to 461 00:26:02,520 --> 00:26:06,240 Speaker 3: lunatic proof our democracy after this is over. It seems 462 00:26:06,280 --> 00:26:07,440 Speaker 3: to me that's for. 463 00:26:07,280 --> 00:26:10,439 Speaker 1: Sure for sure. I mean, I do think, like I 464 00:26:10,600 --> 00:26:14,359 Speaker 1: lean Cannon on the Supreme Court. That's pretty much the 465 00:26:14,400 --> 00:26:16,159 Speaker 1: worst thing I've ever heard I have. 466 00:26:17,040 --> 00:26:19,160 Speaker 3: Type for what they would want. 467 00:26:20,040 --> 00:26:21,000 Speaker 1: Yeah, no question. 468 00:26:21,160 --> 00:26:24,880 Speaker 3: I mean confided to John after he shit the bed 469 00:26:24,920 --> 00:26:27,800 Speaker 3: the other day when Gorsa asked him, well, what about 470 00:26:27,880 --> 00:26:31,280 Speaker 3: Native Americans? And he goes oh, I thought about that. 471 00:26:31,560 --> 00:26:34,600 Speaker 1: It's not like I'm arguing in front of the Supreme Court. 472 00:26:34,720 --> 00:26:36,399 Speaker 3: When you do that, you're supposed to You're supposed to 473 00:26:36,440 --> 00:26:38,399 Speaker 3: be thinking about these They don't. They get in the 474 00:26:38,480 --> 00:26:40,600 Speaker 3: room and work shot this. I don't know. I think 475 00:26:40,640 --> 00:26:42,080 Speaker 3: I saw that on the West Wing or something. 476 00:26:42,240 --> 00:26:46,439 Speaker 1: It is. I have to tell you that that Trump 477 00:26:46,520 --> 00:26:52,200 Speaker 1: coming to birthrights at ascenship arguments, Alito and Thomas still 478 00:26:52,240 --> 00:26:55,919 Speaker 1: being in the tank for this dumb, dumb argument that 479 00:26:56,040 --> 00:26:59,840 Speaker 1: everyone knew was ridiculous. It was just and then have 480 00:27:00,160 --> 00:27:03,320 Speaker 1: Trump in there with Bondi on the way to you know, 481 00:27:03,560 --> 00:27:05,520 Speaker 1: chatting with her about always get a fire. 482 00:27:07,160 --> 00:27:12,080 Speaker 3: I mean, yeah, walk around here these days. But you know, 483 00:27:12,480 --> 00:27:14,800 Speaker 3: you know, I think that what happened with the Supreme 484 00:27:14,800 --> 00:27:17,200 Speaker 3: Court the other day and how they handled birthright citizenship 485 00:27:17,200 --> 00:27:19,680 Speaker 3: should give people a little bit, just a tiny little 486 00:27:19,680 --> 00:27:22,080 Speaker 3: bit of hope that they're all of the crazy shit 487 00:27:22,240 --> 00:27:22,840 Speaker 3: is going to happen. 488 00:27:24,920 --> 00:27:29,080 Speaker 1: Yeah, exactly, Thank you, Thank you, Thank you. Jim mccoss. 489 00:27:29,240 --> 00:27:30,800 Speaker 3: Welcome anytime. 490 00:27:32,720 --> 00:27:37,720 Speaker 1: Teddy Schleifer is a New York Times reporter covering billionaires 491 00:27:37,800 --> 00:27:44,200 Speaker 1: and their impact in the world. Welcome, Welcome, Teddy, Teddy, Hi, Hi, 492 00:27:44,760 --> 00:27:48,439 Speaker 1: your beat is money in politics, which now is like 493 00:27:48,640 --> 00:27:53,360 Speaker 1: the basically the biggest sort of underlying story and everything 494 00:27:53,640 --> 00:27:58,600 Speaker 1: that we are watching. There's so many different things that 495 00:27:58,640 --> 00:28:02,440 Speaker 1: are making me upset. But let's aren't with the giving pledge. 496 00:28:02,760 --> 00:28:06,879 Speaker 1: The giving pledge, the idea that very very rich people 497 00:28:06,920 --> 00:28:11,560 Speaker 1: should give their unspendable fortunes to the working people or 498 00:28:11,680 --> 00:28:13,560 Speaker 1: the poor out of fashion. 499 00:28:13,760 --> 00:28:17,080 Speaker 5: Discuss Yes, it's out of fashion for a few reasons. 500 00:28:17,320 --> 00:28:19,320 Speaker 5: Part of it, I think it's coming from all directions. 501 00:28:19,400 --> 00:28:21,359 Speaker 5: Part of it's coming from the left, where there's been 502 00:28:21,400 --> 00:28:24,440 Speaker 5: a critique made of kind of big donors and their 503 00:28:24,480 --> 00:28:28,520 Speaker 5: influence through their big philanthropic contributions, and you know, shouldn't 504 00:28:28,520 --> 00:28:30,800 Speaker 5: these people just be taxed and the smithereens. That sort 505 00:28:30,800 --> 00:28:33,320 Speaker 5: of is the lefty critique, and that's less interesting to 506 00:28:33,359 --> 00:28:36,080 Speaker 5: me because that's been that's like five years old now, right, 507 00:28:36,440 --> 00:28:37,640 Speaker 5: or maybe maybe ten years old. 508 00:28:37,640 --> 00:28:38,000 Speaker 6: Honestly. 509 00:28:38,160 --> 00:28:40,880 Speaker 5: There's another critique of the giving pledge, which is coming 510 00:28:40,920 --> 00:28:43,960 Speaker 5: from the right, and that is coming in part from 511 00:28:44,320 --> 00:28:45,120 Speaker 5: allies of JD. 512 00:28:45,240 --> 00:28:45,560 Speaker 6: Vance. 513 00:28:45,760 --> 00:28:47,960 Speaker 5: It's coming in some ways from the Trump himself and 514 00:28:48,000 --> 00:28:52,320 Speaker 5: the Trump administration as they attack kind of woke andngos 515 00:28:52,360 --> 00:28:55,600 Speaker 5: and in their view big philanthropy is bad, not because 516 00:28:55,600 --> 00:28:57,680 Speaker 5: it gives rich people too much power, but because they're 517 00:28:57,680 --> 00:28:59,720 Speaker 5: funding the wrong stuff. So we have this story that 518 00:28:59,720 --> 00:29:00,360 Speaker 5: came out out. 519 00:29:00,360 --> 00:29:02,640 Speaker 1: Should be funding turning point right. 520 00:29:02,600 --> 00:29:04,720 Speaker 5: Right, And one of the people involved, as we write 521 00:29:04,720 --> 00:29:06,800 Speaker 5: in the story last month, is Peter Teel. 522 00:29:07,000 --> 00:29:09,160 Speaker 1: I'm surprisingly, continue. 523 00:29:08,840 --> 00:29:12,080 Speaker 5: Unsurprisingly, but but I think you know how Teal spends 524 00:29:12,120 --> 00:29:15,080 Speaker 5: his time, and I'm is interesting to me. And the 525 00:29:15,120 --> 00:29:18,520 Speaker 5: fact that he's spending any time going around to signers 526 00:29:18,560 --> 00:29:20,760 Speaker 5: of the Giving Pledge and trying to convince them to 527 00:29:20,960 --> 00:29:25,680 Speaker 5: unscient is fascinating because why did Peter tile care so much? 528 00:29:25,840 --> 00:29:27,800 Speaker 5: And you know Teal given on record interview to me 529 00:29:27,840 --> 00:29:30,560 Speaker 5: where he basically talked about his efforts, which you know, 530 00:29:30,560 --> 00:29:32,400 Speaker 5: I don't overstated. It's not like the Giving Pledge is 531 00:29:32,400 --> 00:29:35,200 Speaker 5: going to die tomorrow, but it shows you how unfashionable 532 00:29:35,240 --> 00:29:35,720 Speaker 5: it's become. 533 00:29:35,920 --> 00:29:36,680 Speaker 6: Any age of Trump. 534 00:29:36,840 --> 00:29:40,840 Speaker 1: Okay, the Giving Pledge is so fucked. I'm sorry not 535 00:29:40,880 --> 00:29:43,160 Speaker 1: to put too fine a point on it. Now, money 536 00:29:43,360 --> 00:29:48,880 Speaker 1: and politics, there is a huge AI push in this selection. 537 00:29:49,480 --> 00:29:56,200 Speaker 1: I want to talk about their's anthropic there's meta, there's 538 00:29:56,800 --> 00:30:01,400 Speaker 1: any number of groups doing any number of things. So 539 00:30:01,520 --> 00:30:04,640 Speaker 1: talk us through what AI is doing with our elections. 540 00:30:05,040 --> 00:30:08,200 Speaker 5: Sure, I mean to some extent what your average billionaire 541 00:30:08,200 --> 00:30:11,920 Speaker 5: like Peter Tield does doesn't really matter because these individuals 542 00:30:11,960 --> 00:30:15,120 Speaker 5: are being vastly outspent by the companies. That's the I 543 00:30:15,120 --> 00:30:19,840 Speaker 5: think the big story in the midterms is the massive donors. 544 00:30:19,840 --> 00:30:24,400 Speaker 5: The mega donors are now explicitly corporate interests and it's 545 00:30:24,400 --> 00:30:26,960 Speaker 5: been true in the past, but the amount of zeros 546 00:30:26,960 --> 00:30:29,560 Speaker 5: that are being added to the checks this cycle are huge. 547 00:30:29,640 --> 00:30:32,280 Speaker 5: So we have the AI industry I think above all. 548 00:30:32,680 --> 00:30:35,280 Speaker 5: You know, there's probably going to be over two hundred 549 00:30:35,320 --> 00:30:39,120 Speaker 5: million dollars spent by the AI industry this cycle. Honestly, 550 00:30:39,160 --> 00:30:42,560 Speaker 5: maybe maybe even three hundred million. And it's in races 551 00:30:42,600 --> 00:30:44,800 Speaker 5: you are thinking about where you have you know, there 552 00:30:44,840 --> 00:30:47,600 Speaker 5: will be competitive Senate elections this fall, that where the 553 00:30:47,640 --> 00:30:50,040 Speaker 5: A industry will be spending a time. It's also races 554 00:30:50,040 --> 00:30:52,240 Speaker 5: are not thinking about like trying to flip a state 555 00:30:52,320 --> 00:30:55,400 Speaker 5: legislative chamber in Illinois or in Texas. You know, they 556 00:30:55,600 --> 00:30:58,680 Speaker 5: have a huge state operation in California that's funded by META. 557 00:30:58,760 --> 00:31:00,680 Speaker 6: So everywhere the country, I. 558 00:31:00,640 --> 00:31:03,120 Speaker 5: Think we're going to see you know, Americans for Artificial 559 00:31:03,120 --> 00:31:06,400 Speaker 5: Intelligence Development INK superPAC that going to be the big 560 00:31:06,400 --> 00:31:08,920 Speaker 5: spender in those races, and for some extemoli this has 561 00:31:08,960 --> 00:31:11,360 Speaker 5: a lot to do with what happened in with the 562 00:31:11,400 --> 00:31:15,560 Speaker 5: crypto industry last cycle, where crypto realized, hey, it's kind 563 00:31:15,600 --> 00:31:17,880 Speaker 5: of easy to you know, buy a couple of seats, 564 00:31:18,000 --> 00:31:20,800 Speaker 5: and some of those same same funders say, let's do 565 00:31:20,840 --> 00:31:21,520 Speaker 5: it again with AI. 566 00:31:21,880 --> 00:31:24,760 Speaker 1: What is Facebook's AI interest here? 567 00:31:25,160 --> 00:31:27,640 Speaker 5: Yeah, I mean, I mean Meta has the is a 568 00:31:27,880 --> 00:31:32,480 Speaker 5: massive challenger to Open AI to Anthropic, to Microsoft, to Amazon, 569 00:31:32,480 --> 00:31:34,800 Speaker 5: I mean, to some extent, all these companies, their entire 570 00:31:35,200 --> 00:31:39,240 Speaker 5: existential future depends on AI. And so the fact that 571 00:31:39,320 --> 00:31:42,000 Speaker 5: you know, there's if they can flip a chamber in 572 00:31:42,280 --> 00:31:44,640 Speaker 5: a state with ten million bucks, like, that's a pretty 573 00:31:44,640 --> 00:31:46,000 Speaker 5: good ROI for you know, a. 574 00:31:46,280 --> 00:31:48,719 Speaker 6: Company it's worth trillions or what's worth trillions of dollars? 575 00:31:49,120 --> 00:31:53,320 Speaker 1: Doesn't Entropic and Meta do? They all have the same goals, 576 00:31:53,400 --> 00:31:55,520 Speaker 1: which is just a lack of regulation when it comes 577 00:31:55,520 --> 00:31:57,120 Speaker 1: AI or they don't know. 578 00:31:57,400 --> 00:32:00,160 Speaker 5: And that's what's really interesting this cycle is basically the 579 00:32:00,200 --> 00:32:03,920 Speaker 5: story starts last summer when there was this group started 580 00:32:03,960 --> 00:32:09,440 Speaker 5: called Leading the Future, which is funded primarily by open AIS, 581 00:32:09,760 --> 00:32:13,120 Speaker 5: one of Open ass top executives and increasing Horowitz, and 582 00:32:13,160 --> 00:32:16,040 Speaker 5: then there is this reaction superPAC that starts a couple 583 00:32:16,120 --> 00:32:20,440 Speaker 5: months later called Public First, which is funded by indirectly 584 00:32:20,480 --> 00:32:23,720 Speaker 5: by Anthropic, which is almost competing often with Leading the Future. 585 00:32:23,760 --> 00:32:26,280 Speaker 5: So you know, in some races it's not as if 586 00:32:26,280 --> 00:32:29,000 Speaker 5: the AI industry is totally aligned in spending all for 587 00:32:29,040 --> 00:32:31,920 Speaker 5: the same candidate. Sometimes you have the different AI groups, 588 00:32:32,200 --> 00:32:34,560 Speaker 5: you know, pointing guns at each other, and you know, 589 00:32:35,040 --> 00:32:38,720 Speaker 5: the antipathy between these two entities is very high, and 590 00:32:38,840 --> 00:32:42,080 Speaker 5: it creates this funhouse mirrors sort of campaign finance system 591 00:32:42,120 --> 00:32:45,960 Speaker 5: where it doesn't really matter which billionaires or which voters, 592 00:32:46,120 --> 00:32:48,840 Speaker 5: never mind them care about certain candidates. It's sort of 593 00:32:48,880 --> 00:32:51,520 Speaker 5: which of these two dueling AI super PACs you can 594 00:32:51,560 --> 00:32:52,440 Speaker 5: get to support you. 595 00:32:52,680 --> 00:32:57,280 Speaker 1: How could these two companies or three companies they want 596 00:32:57,480 --> 00:33:00,600 Speaker 1: I mean, they all just want regulatory cap sare right? 597 00:33:00,800 --> 00:33:04,840 Speaker 1: Why would they have such different needs and desires from 598 00:33:04,880 --> 00:33:05,720 Speaker 1: their candidates? 599 00:33:06,000 --> 00:33:08,280 Speaker 5: Yeah, I mean, I mean and Thropic would say that 600 00:33:08,360 --> 00:33:11,400 Speaker 5: they do not seek regulatory capture. I mean, I think 601 00:33:11,440 --> 00:33:13,040 Speaker 5: all the companies to say that do not seek relatory 602 00:33:13,080 --> 00:33:14,160 Speaker 5: counter but I. 603 00:33:14,400 --> 00:33:17,320 Speaker 1: In the opinion space can say the truth, which as they. 604 00:33:17,240 --> 00:33:21,720 Speaker 5: Do Anthropic though, I mean their entire political strategy is 605 00:33:21,880 --> 00:33:27,600 Speaker 5: very explicit, maybe increasingly explicitly oppositional to the Trump administration. 606 00:33:27,800 --> 00:33:30,120 Speaker 5: They're super pack, I can tell you, is kind of 607 00:33:30,160 --> 00:33:33,920 Speaker 5: carefully monitored by the Trump administration. You know, they're trying 608 00:33:34,000 --> 00:33:36,800 Speaker 5: to obviously kind of repair that relationship after the whole 609 00:33:36,840 --> 00:33:41,000 Speaker 5: Pentagon fiasco. But unfortunately they're sort of being pegged for them. 610 00:33:41,200 --> 00:33:43,160 Speaker 5: Unfortunately for them, they're being pegged as sort of like 611 00:33:43,320 --> 00:33:44,480 Speaker 5: the Democratic group. 612 00:33:44,760 --> 00:33:47,280 Speaker 6: They're very much in opposition to kind of. 613 00:33:47,200 --> 00:33:50,000 Speaker 5: The you know, David Sachs led let everything go in 614 00:33:50,080 --> 00:33:51,320 Speaker 5: AI view of the world. 615 00:33:51,440 --> 00:33:53,880 Speaker 6: So I think that you know, they're there, there really are. 616 00:33:53,640 --> 00:33:56,240 Speaker 5: There are real tensions between the companies, and I think 617 00:33:56,280 --> 00:33:58,640 Speaker 5: that speaks to their different political strategies. 618 00:33:58,840 --> 00:34:01,840 Speaker 1: Interesting. Okay, so the richest. 619 00:34:01,480 --> 00:34:03,840 Speaker 6: Man in the world, What happened to that guy? Where 620 00:34:03,840 --> 00:34:04,000 Speaker 6: do you? 621 00:34:04,080 --> 00:34:07,800 Speaker 1: Yeah? Exactly, he's still there. So I want you to 622 00:34:07,840 --> 00:34:12,239 Speaker 1: talk about you have this. He's furious with Dune, he 623 00:34:12,440 --> 00:34:15,520 Speaker 1: wants you know, he has desires. He's on a call 624 00:34:15,640 --> 00:34:16,280 Speaker 1: with Mody. 625 00:34:16,640 --> 00:34:17,880 Speaker 6: Yeah, he exists. 626 00:34:18,239 --> 00:34:20,160 Speaker 1: They sort of say he's out of it, but clearly 627 00:34:20,160 --> 00:34:20,480 Speaker 1: he's not. 628 00:34:21,040 --> 00:34:23,439 Speaker 5: So so the person that we're talking about a kiss 629 00:34:23,480 --> 00:34:26,799 Speaker 5: anyone forgot his name is Elon Musk r Musk. But 630 00:34:26,920 --> 00:34:29,359 Speaker 5: you know, yeah, it's you don't. You don't see him much. 631 00:34:29,480 --> 00:34:31,680 Speaker 5: I was thinking about, you know, a year ago now 632 00:34:31,880 --> 00:34:35,480 Speaker 5: was April twenty twenty five. It was like peak Elon, right, 633 00:34:36,600 --> 00:34:39,640 Speaker 5: at least the peak Washington Elon. You know nowadays April 634 00:34:39,640 --> 00:34:43,960 Speaker 5: twenty twenty six. Musk is very behind the scenes in 635 00:34:44,000 --> 00:34:44,520 Speaker 5: some ways. 636 00:34:44,560 --> 00:34:45,279 Speaker 6: I mean, we have the. 637 00:34:45,239 --> 00:34:47,320 Speaker 5: Story that right that he was on this call between 638 00:34:47,360 --> 00:34:51,120 Speaker 5: Trump and Mody, which is highly unusual for a private citizen. 639 00:34:51,120 --> 00:34:53,439 Speaker 5: It was also unannounced, frankly, which I thought was also 640 00:34:53,480 --> 00:34:55,719 Speaker 5: which I think made it all the more strange, which 641 00:34:55,760 --> 00:34:57,839 Speaker 5: is that you had the official reouts of the call, 642 00:34:57,880 --> 00:35:00,840 Speaker 5: which always happened, you know, in bilateral conversations, and no 643 00:35:00,880 --> 00:35:03,200 Speaker 5: one thought to mention, by the way, it was actually 644 00:35:03,200 --> 00:35:05,680 Speaker 5: three people or more of you know, at least three people. 645 00:35:06,320 --> 00:35:07,239 Speaker 6: What have poked him up? 646 00:35:07,320 --> 00:35:10,479 Speaker 1: Does this mean Elon is back in Trump world too? 647 00:35:10,560 --> 00:35:13,480 Speaker 1: I think I think overall he is back enough. You know, 648 00:35:13,520 --> 00:35:15,960 Speaker 1: it is not April twenty twenty five. But yes, I mean, 649 00:35:16,120 --> 00:35:18,719 Speaker 1: you know, from everything like here beyond the Modi call, 650 00:35:18,800 --> 00:35:20,920 Speaker 1: he is a welcome party. I do not hear the 651 00:35:20,960 --> 00:35:23,960 Speaker 1: same amount of antagonism toward him from White House aids. 652 00:35:24,160 --> 00:35:26,520 Speaker 1: You know, he's been very active in sort of using 653 00:35:26,520 --> 00:35:28,719 Speaker 1: his megaphone to go after John Thune on the State 654 00:35:28,760 --> 00:35:31,440 Speaker 1: of America Act, which is a priority of Trump's. So 655 00:35:31,840 --> 00:35:34,239 Speaker 1: he's back ish, you know, and I think he is 656 00:35:34,280 --> 00:35:36,960 Speaker 1: somebody who I expect will spend you know, tens of 657 00:35:37,000 --> 00:35:39,600 Speaker 1: millions of dollars toiep Republicans in the midterms. You know, 658 00:35:39,640 --> 00:35:41,520 Speaker 1: he's not going to be leading, not going to be 659 00:35:41,560 --> 00:35:42,480 Speaker 1: in a White House job. 660 00:35:42,360 --> 00:35:44,359 Speaker 6: Like he was last year. But yes, I think he's back. 661 00:35:44,600 --> 00:35:48,200 Speaker 1: He's really unpopular too, so if Democrats are smart, they 662 00:35:48,239 --> 00:35:50,120 Speaker 1: will highlight this, but it's off. 663 00:35:50,160 --> 00:35:52,319 Speaker 6: He's also more behind the scenes, right. 664 00:35:52,400 --> 00:35:54,200 Speaker 5: I mean, I think part of the reason why Musk 665 00:35:54,280 --> 00:35:57,480 Speaker 5: was such an easy target for Democrats last year was 666 00:35:57,520 --> 00:36:00,000 Speaker 5: because he was really in your face. 667 00:36:00,239 --> 00:36:01,560 Speaker 6: Right now, the. 668 00:36:01,480 --> 00:36:03,480 Speaker 5: Fact he's on the MODI called they don't say anything, right, 669 00:36:03,560 --> 00:36:06,640 Speaker 5: and you know he's not doing public events against John 670 00:36:06,719 --> 00:36:09,600 Speaker 5: fun So that's part of why he's harder to hit 671 00:36:09,719 --> 00:36:11,040 Speaker 5: is because he's more he's quiet. 672 00:36:11,160 --> 00:36:13,480 Speaker 1: Get that man a cheese hat and get him on 673 00:36:13,520 --> 00:36:14,080 Speaker 1: a stage. 674 00:36:14,280 --> 00:36:16,080 Speaker 6: What's the South Dakota food? You know, that's what he's 675 00:36:16,080 --> 00:36:16,360 Speaker 6: got to do. 676 00:36:16,360 --> 00:36:20,200 Speaker 1: Around That's right to South Dakota food. Okay, so I 677 00:36:20,280 --> 00:36:25,520 Speaker 1: want you to talk about what's happening with this TikTok 678 00:36:26,120 --> 00:36:29,319 Speaker 1: paying ten billion dollar fee to the Trump administration. 679 00:36:29,840 --> 00:36:31,960 Speaker 6: What, Yeah, have you ever seen that before? 680 00:36:32,160 --> 00:36:34,880 Speaker 1: I think, I'm sure this administration has done other things 681 00:36:34,960 --> 00:36:35,319 Speaker 1: like this. 682 00:36:35,360 --> 00:36:38,360 Speaker 5: But what well you may have seen it in investment 683 00:36:38,440 --> 00:36:41,880 Speaker 5: banking when you know ah, or you know, in just 684 00:36:42,000 --> 00:36:44,279 Speaker 5: pedestrian m and a where you know, the person who 685 00:36:44,360 --> 00:36:46,799 Speaker 5: arranges the deal gets you know, a banker fee, and 686 00:36:46,800 --> 00:36:48,879 Speaker 5: that's sort of how it works, you know, right Dell 687 00:36:49,040 --> 00:36:52,359 Speaker 5: buys you know, Apple or whatever. But yeah, I mean 688 00:36:52,360 --> 00:36:54,200 Speaker 5: in this situation, you had a deal where the banker 689 00:36:54,320 --> 00:36:57,160 Speaker 5: was the US government effectively, and they collected a ten 690 00:36:57,160 --> 00:37:01,120 Speaker 5: million dollar fee from Entite's you know, including Oracle and 691 00:37:01,160 --> 00:37:03,600 Speaker 5: the other buyers or the other new equity holders of 692 00:37:03,640 --> 00:37:07,000 Speaker 5: tech talk. Yeah, thank god that Uncle Sam gets a 693 00:37:06,440 --> 00:37:09,320 Speaker 5: couple more dollars to try to out provide it and 694 00:37:09,360 --> 00:37:10,000 Speaker 5: all those stuff. 695 00:37:10,080 --> 00:37:10,919 Speaker 1: Who gets it. 696 00:37:11,160 --> 00:37:13,799 Speaker 5: I don't recall the specifics and how how exactly it 697 00:37:13,840 --> 00:37:17,000 Speaker 5: gets into view as government coppers, but it's basically a 698 00:37:17,080 --> 00:37:18,560 Speaker 5: fee to the government real large. 699 00:37:18,680 --> 00:37:21,400 Speaker 1: Okay, I want you to talk about this sort of 700 00:37:21,480 --> 00:37:24,920 Speaker 1: dark money in democratic circles because I read this piece 701 00:37:24,960 --> 00:37:29,600 Speaker 1: this morning that you wrote about how the way that 702 00:37:30,120 --> 00:37:33,560 Speaker 1: it works now is that you can there's so many 703 00:37:33,560 --> 00:37:37,839 Speaker 1: ways to obfuscate how money gets so talk us through that. 704 00:37:38,040 --> 00:37:40,879 Speaker 5: I cover campaign finance, I read FEC filings. I've done 705 00:37:40,920 --> 00:37:45,120 Speaker 5: this now for ten years. Every cycle, I've noticed more 706 00:37:45,160 --> 00:37:49,800 Speaker 5: and more that the donors to super PACs, the people 707 00:37:49,840 --> 00:37:53,400 Speaker 5: who are listed on filings with the Federal Election Commission 708 00:37:53,560 --> 00:37:56,360 Speaker 5: every couple months, every couple of weeks, are not real people. 709 00:37:56,640 --> 00:38:00,600 Speaker 5: Those donors are not Joe Smith or Mali Jarvaster Heyschliffer. 710 00:38:00,680 --> 00:38:04,520 Speaker 5: It's like Americans for prosper I mean party is the 711 00:38:04,560 --> 00:38:08,080 Speaker 5: real thing, but like you know, Prosperous Americans Alliance, Inc. 712 00:38:08,560 --> 00:38:11,000 Speaker 5: You know, and it was started three months ago at 713 00:38:11,000 --> 00:38:14,120 Speaker 5: a post office box in DC, and you know it'll 714 00:38:14,160 --> 00:38:17,360 Speaker 5: fold immediately after election day. And that's basically how the 715 00:38:17,400 --> 00:38:19,319 Speaker 5: system now works. And you know the names of these 716 00:38:19,360 --> 00:38:22,160 Speaker 5: things are preposterous, and they're all sound patriotic, and they're 717 00:38:22,200 --> 00:38:24,160 Speaker 5: all you know, the operatives kind of jumped from one 718 00:38:24,160 --> 00:38:27,080 Speaker 5: group to the other. And there's a C three which 719 00:38:27,120 --> 00:38:29,080 Speaker 5: funds the five oh one C four which funds the 720 00:38:29,120 --> 00:38:31,520 Speaker 5: superpack and it's just all gross and messy and sort 721 00:38:31,520 --> 00:38:32,160 Speaker 5: of that's. 722 00:38:31,960 --> 00:38:33,160 Speaker 6: How the world works. And I want to do a 723 00:38:33,160 --> 00:38:35,080 Speaker 6: story like sort of try to capture. 724 00:38:35,040 --> 00:38:39,400 Speaker 5: The complexity and the ways that the Washington really works. 725 00:38:39,480 --> 00:38:41,320 Speaker 5: And I think the reason this is happening is a 726 00:38:41,360 --> 00:38:43,600 Speaker 5: couple of things. I mean, one, Republicans have gotten really 727 00:38:43,600 --> 00:38:45,879 Speaker 5: good at this, and I think Democrats being around twenty 728 00:38:45,880 --> 00:38:50,760 Speaker 5: eighteen or twenty twenty like, have definitely leapfrog Republicans. And 729 00:38:50,040 --> 00:38:51,960 Speaker 5: it's and the other thing that and this is more 730 00:38:51,960 --> 00:38:54,640 Speaker 5: of a post twenty twenty four dynamic, is that Democrats 731 00:38:54,640 --> 00:38:57,400 Speaker 5: are scared a lot of donors. You know, if they 732 00:38:57,400 --> 00:38:59,839 Speaker 5: can find a way to you know, feel good about 733 00:38:59,840 --> 00:39:02,359 Speaker 5: their impact on the world, but not have their name 734 00:39:02,400 --> 00:39:05,120 Speaker 5: on an FEC report, they're going to take it. That's 735 00:39:05,160 --> 00:39:07,640 Speaker 5: why I think a lot of operatives and fundraisers now 736 00:39:07,880 --> 00:39:11,080 Speaker 5: have really tried to channel more and more of to 737 00:39:11,120 --> 00:39:13,680 Speaker 5: meet the donor demand. They're trying to offer the supply 738 00:39:13,920 --> 00:39:15,600 Speaker 5: of these groups, which is like. 739 00:39:15,760 --> 00:39:17,280 Speaker 1: And that's because of Trump. 740 00:39:17,640 --> 00:39:20,040 Speaker 6: I think it's a large part of it, especially over 741 00:39:20,040 --> 00:39:21,080 Speaker 6: the last two years. 742 00:39:21,440 --> 00:39:22,840 Speaker 5: You know, I think it's hard to say in twenty 743 00:39:22,880 --> 00:39:25,160 Speaker 5: twenty one it was because of Trump, but you know, 744 00:39:25,200 --> 00:39:27,719 Speaker 5: if you can disguise your getting and you know to 745 00:39:27,760 --> 00:39:30,200 Speaker 5: be clear, like there are some illegal like this could 746 00:39:30,239 --> 00:39:31,240 Speaker 5: be illegal. 747 00:39:30,880 --> 00:39:31,520 Speaker 6: If done foreign. 748 00:39:31,560 --> 00:39:33,320 Speaker 5: If take you a ticket for enough, you can't say 749 00:39:33,680 --> 00:39:36,680 Speaker 5: I'm going to give to this nonprofit explicitly so they 750 00:39:36,680 --> 00:39:38,239 Speaker 5: can give it to the super pac so I can 751 00:39:38,280 --> 00:39:40,719 Speaker 5: avoid having my name attached to it. That's that's a 752 00:39:40,760 --> 00:39:44,719 Speaker 5: prosecutable crime. But right, get up to the line, and 753 00:39:44,760 --> 00:39:47,279 Speaker 5: I think my story tries to show that Democrats are 754 00:39:47,320 --> 00:39:48,080 Speaker 5: often getting up to the. 755 00:39:48,120 --> 00:39:48,560 Speaker 6: Line on that. 756 00:39:48,719 --> 00:39:53,080 Speaker 1: Can you talk us through like the sort of Crypto AI, 757 00:39:53,480 --> 00:39:57,719 Speaker 1: like what the people are who are donating like a pack, 758 00:39:58,000 --> 00:40:00,720 Speaker 1: like who are the big Dark mind donors? 759 00:40:01,000 --> 00:40:03,759 Speaker 6: Sure, I mean the big fish of the cycle. You 760 00:40:03,760 --> 00:40:04,920 Speaker 6: know we mentioned AI earlier. 761 00:40:04,920 --> 00:40:07,480 Speaker 5: I mean I can cryptos back and ripe around two 762 00:40:07,560 --> 00:40:09,239 Speaker 5: and they're going to do the same thing they did 763 00:40:09,320 --> 00:40:09,880 Speaker 5: last cycle. 764 00:40:10,320 --> 00:40:12,400 Speaker 1: And you said something interesting about Crypto. 765 00:40:12,800 --> 00:40:15,960 Speaker 5: Yeah, Crypto is basically repeating what they're what they did 766 00:40:16,080 --> 00:40:19,120 Speaker 5: last cycle, and it almost inspired the AI spending that 767 00:40:19,160 --> 00:40:20,120 Speaker 5: we're seeing this cycle. 768 00:40:20,360 --> 00:40:23,359 Speaker 1: But they also get involved in races they know they're 769 00:40:23,360 --> 00:40:23,759 Speaker 1: going to win. 770 00:40:23,960 --> 00:40:27,359 Speaker 5: Explain Yeah, yeah, I mean one key thing as part 771 00:40:27,400 --> 00:40:29,800 Speaker 5: of the narrative here and we have to be careful 772 00:40:29,800 --> 00:40:30,560 Speaker 5: about this in the media. 773 00:40:30,640 --> 00:40:32,280 Speaker 6: Is like sometimes these these big. 774 00:40:32,120 --> 00:40:35,399 Speaker 5: Super packs will spend tons of money or actually spend 775 00:40:35,440 --> 00:40:38,640 Speaker 5: nomenal amounts of money on races that are like already decided, 776 00:40:38,800 --> 00:40:40,520 Speaker 5: you know, so it's sort of like, oh, you know, 777 00:40:40,880 --> 00:40:42,840 Speaker 5: they can boost their win total because you know, these 778 00:40:42,880 --> 00:40:44,759 Speaker 5: groups love to say we won forty eight out of 779 00:40:44,760 --> 00:40:46,680 Speaker 5: forty nine races on Tuesday. 780 00:40:46,400 --> 00:40:49,880 Speaker 1: Right, But they just added a little money something they 781 00:40:49,920 --> 00:40:51,480 Speaker 1: already knew was going. 782 00:40:51,560 --> 00:40:53,439 Speaker 6: Sprinkle on the ice cream, and you know, you say 783 00:40:53,440 --> 00:40:55,080 Speaker 6: you made it. A pack is a huge story. 784 00:40:55,160 --> 00:40:58,080 Speaker 5: I mean, they're more active in democratic primaries and than 785 00:40:58,120 --> 00:41:00,640 Speaker 5: they are in the general elections or for interpublic primaries. 786 00:41:00,640 --> 00:41:02,880 Speaker 5: But we saw this in some of the Illinois elections 787 00:41:02,960 --> 00:41:05,640 Speaker 5: last month, where like the money is just all coming 788 00:41:05,680 --> 00:41:08,359 Speaker 5: from these like interest groups right where it's like like 789 00:41:08,640 --> 00:41:09,879 Speaker 5: you're trying to follow. 790 00:41:09,800 --> 00:41:12,759 Speaker 1: Concerned women Democrats of Chicago is right. 791 00:41:12,880 --> 00:41:15,440 Speaker 5: Right, wreck right, Yeah, And then like six months later 792 00:41:15,680 --> 00:41:18,520 Speaker 5: you'll see some like tax filing that shows that actually 793 00:41:18,640 --> 00:41:20,440 Speaker 5: all the money came from some other nine to ninety 794 00:41:20,640 --> 00:41:23,800 Speaker 5: other other nonprofit which was started you know, out of 795 00:41:23,840 --> 00:41:26,640 Speaker 5: the APAC headquarters suspiciously right before the election. I mean, like, 796 00:41:26,680 --> 00:41:29,400 Speaker 5: I'm not mad that there's you know, gambling in the casino, 797 00:41:29,520 --> 00:41:31,200 Speaker 5: but like I do think it is a public service 798 00:41:31,239 --> 00:41:33,800 Speaker 5: to elucidate how it works for regular people. 799 00:41:34,040 --> 00:41:36,799 Speaker 1: Well, and I also think like it's one thing to 800 00:41:36,960 --> 00:41:40,600 Speaker 1: hide where the money's coming from because you're scared of Trump. Like, okay, 801 00:41:40,719 --> 00:41:45,480 Speaker 1: that is I think it's still problematic, but it at 802 00:41:45,600 --> 00:41:49,319 Speaker 1: least you can sort of see, Okay, Trump set this 803 00:41:49,480 --> 00:41:53,160 Speaker 1: situation up, all right, whatever. But to be a huge 804 00:41:53,360 --> 00:41:57,239 Speaker 1: group that has a very clear interest, whether it be 805 00:41:57,360 --> 00:42:01,239 Speaker 1: crypto or Israel or any number of other things and 806 00:42:01,320 --> 00:42:05,879 Speaker 1: trying to obfiscate that's what you're doing, seems really on 807 00:42:05,920 --> 00:42:06,799 Speaker 1: the edge. 808 00:42:07,239 --> 00:42:10,600 Speaker 5: Sure, I mean, you know, Tomato, Tomato, I mean, I'm 809 00:42:10,640 --> 00:42:12,279 Speaker 5: on that front. I mean, you know, I think I 810 00:42:12,320 --> 00:42:15,680 Speaker 5: think one thing that's interesting that is I encounter a 811 00:42:15,680 --> 00:42:18,600 Speaker 5: lot in just the language that donors talk about is 812 00:42:18,840 --> 00:42:22,120 Speaker 5: what some people would see as political giving, they might 813 00:42:22,160 --> 00:42:23,400 Speaker 5: see as philanthropic giving. 814 00:42:23,520 --> 00:42:25,080 Speaker 6: And I see this on both sides. 815 00:42:25,120 --> 00:42:26,640 Speaker 5: Like, I mean, I know you might not agree with 816 00:42:26,840 --> 00:42:28,879 Speaker 5: you know, the Coke Network, but like lots of coke 817 00:42:28,920 --> 00:42:33,160 Speaker 5: donors genuinely see their support of Americans for prosperity not 818 00:42:33,320 --> 00:42:35,880 Speaker 5: as politics. They don't see that as dark money contributions. 819 00:42:35,880 --> 00:42:38,359 Speaker 5: They see that as I am lifting up people out 820 00:42:38,360 --> 00:42:40,400 Speaker 5: of poverty with their philanthropic contributions. 821 00:42:40,440 --> 00:42:43,200 Speaker 1: They're lifting themselves for tax cuts. 822 00:42:43,520 --> 00:42:44,520 Speaker 6: That's not how they see it. 823 00:42:44,640 --> 00:42:47,680 Speaker 5: And people on the left, you know, they might see 824 00:42:47,680 --> 00:42:52,160 Speaker 5: their work as defending democracy capital letters included, and like, 825 00:42:52,480 --> 00:42:54,480 Speaker 5: you know, people on the right think this is that's ridiculous, 826 00:42:54,480 --> 00:42:57,560 Speaker 5: This is political giving. And so the line between politics 827 00:42:57,560 --> 00:42:59,960 Speaker 5: and philanthropy is pretty still and depends on where. 828 00:43:00,640 --> 00:43:03,680 Speaker 1: Yeah, for sure, for sure, though all of this could 829 00:43:03,760 --> 00:43:08,120 Speaker 1: be solved by having a cap to money and politics, 830 00:43:08,200 --> 00:43:11,160 Speaker 1: it'll never happen. But it's a nice stream. We're almost 831 00:43:11,200 --> 00:43:12,960 Speaker 1: out of time. But is there anything that's flying under 832 00:43:13,000 --> 00:43:14,960 Speaker 1: the radar here that we should be thinking about? 833 00:43:15,239 --> 00:43:19,120 Speaker 5: I think that in general, the system has gotten so 834 00:43:19,280 --> 00:43:23,239 Speaker 5: good at disguising everything that unfortunately I feel like I'm 835 00:43:23,360 --> 00:43:26,919 Speaker 5: constantly behind, so under the radar, Like there's I feel 836 00:43:27,040 --> 00:43:29,319 Speaker 5: a million things under the radar, Like you know, I 837 00:43:29,400 --> 00:43:31,960 Speaker 5: guarantee you you know this year there's going to be 838 00:43:32,000 --> 00:43:34,080 Speaker 5: stuff that like comes in up in like September or 839 00:43:34,120 --> 00:43:37,480 Speaker 5: October that like is just totally not figured out until 840 00:43:37,560 --> 00:43:40,319 Speaker 5: way later. I think AI itself is going to make 841 00:43:40,320 --> 00:43:42,600 Speaker 5: some of this stuff crazy or like you know, like 842 00:43:42,760 --> 00:43:44,840 Speaker 5: you know, there's the lack of regulation and you're going 843 00:43:44,920 --> 00:43:47,920 Speaker 5: to have ads that are coming from entities that started, 844 00:43:48,000 --> 00:43:50,120 Speaker 5: you know, a month ago, where the ad is AI 845 00:43:50,239 --> 00:43:53,319 Speaker 5: generated and I have no idea how AI could like 846 00:43:53,400 --> 00:43:54,719 Speaker 5: affect campaign finance. 847 00:43:54,800 --> 00:43:57,160 Speaker 6: I think that's another possible disruption to come. 848 00:43:57,239 --> 00:43:59,640 Speaker 5: So yeah, I mean honestly, I feel like I'm descripting 849 00:43:59,680 --> 00:44:01,720 Speaker 5: a surf and just try to report the five percent 850 00:44:01,760 --> 00:44:02,919 Speaker 5: of stuff that's about the water. 851 00:44:03,280 --> 00:44:06,520 Speaker 1: Yeah, that's how I feel about the news cycles. 852 00:44:06,680 --> 00:44:08,200 Speaker 5: If people come across things that they want me to 853 00:44:08,239 --> 00:44:09,480 Speaker 5: know about, please get in touch with me. 854 00:44:09,680 --> 00:44:13,440 Speaker 1: Teddy Slipher, his dms are open. There's going to be 855 00:44:13,480 --> 00:44:18,480 Speaker 1: stuff that comes out that we're going to be shocked by, probably, Teddy. Teddy, 856 00:44:18,520 --> 00:44:19,640 Speaker 1: thank you for joining us. 857 00:44:19,880 --> 00:44:20,480 Speaker 6: You bet. 858 00:44:22,239 --> 00:44:23,440 Speaker 3: No moment. 859 00:44:24,840 --> 00:44:27,320 Speaker 1: Jesse Cannon my junk fast. 860 00:44:27,400 --> 00:44:30,239 Speaker 2: So we have a GOP rep named Jeff. 861 00:44:29,960 --> 00:44:32,279 Speaker 1: Fandrew who used to be a Democrat. 862 00:44:32,600 --> 00:44:35,800 Speaker 2: Used to be a Democrat from a swingy, swingy district, 863 00:44:36,120 --> 00:44:39,279 Speaker 2: New Jersey. Yeah, yeah, where we're really hoping maybe the 864 00:44:39,640 --> 00:44:43,200 Speaker 2: New Jersey Dems who don't hear enough about how much 865 00:44:43,239 --> 00:44:45,840 Speaker 2: they could flip some of these seats more easily that 866 00:44:45,920 --> 00:44:48,640 Speaker 2: they do their job. Because this is another gift, just 867 00:44:48,719 --> 00:44:51,319 Speaker 2: like Trump's quote that we played earlier, the show that 868 00:44:51,520 --> 00:44:52,439 Speaker 2: just keeps on giving. 869 00:44:52,480 --> 00:44:53,440 Speaker 3: Let's take a listen to this. 870 00:44:53,920 --> 00:44:56,640 Speaker 7: The list goes on and on of all the things. 871 00:44:56,800 --> 00:45:00,920 Speaker 7: Our gas tax automatically increases in New and by the way, 872 00:45:01,239 --> 00:45:04,200 Speaker 7: so do our tolls in our fees automatically increase. 873 00:45:04,640 --> 00:45:05,120 Speaker 3: All that. 874 00:45:05,280 --> 00:45:07,200 Speaker 7: Now we're going to have on top of that. And 875 00:45:07,280 --> 00:45:09,840 Speaker 7: I'm talking to my folks in New Jersey, my state. 876 00:45:10,280 --> 00:45:12,880 Speaker 7: You better just keep breaking your back and working hard. 877 00:45:12,920 --> 00:45:15,000 Speaker 7: Maybe get yet another job. 878 00:45:15,320 --> 00:45:16,600 Speaker 1: I didn't understand that. 879 00:45:17,120 --> 00:45:21,279 Speaker 2: What, well, you don't, MOLLI The answer to everything when 880 00:45:21,320 --> 00:45:25,320 Speaker 2: you're these Mike Rogers types, all these Republicans, it's maybe 881 00:45:25,320 --> 00:45:26,880 Speaker 2: you get another job, because you know what they are. 882 00:45:26,960 --> 00:45:30,240 Speaker 2: They're really in touch with the people that working working. 883 00:45:30,600 --> 00:45:33,279 Speaker 2: They really understand that, you know, all you want to 884 00:45:33,320 --> 00:45:35,520 Speaker 2: do is work all day so we can fund wars. 885 00:45:35,880 --> 00:45:42,120 Speaker 1: Yeah, Vanrew, incredible stuff from our friend Jeff and Andrew. 886 00:45:42,600 --> 00:45:46,960 Speaker 1: Thanks very much. Team. That's it for this episode of 887 00:45:47,040 --> 00:45:53,799 Speaker 1: Fast Politics. Tune in every Monday, Wednesday, Thursday and Saturday 888 00:45:54,000 --> 00:45:57,399 Speaker 1: to hear the best minds and politics make sense of 889 00:45:57,600 --> 00:46:01,600 Speaker 1: all this Chaos. If you would enjoy this podcast, please 890 00:46:01,640 --> 00:46:04,680 Speaker 1: send it to a friend and keep the conversation going. 891 00:46:05,120 --> 00:46:06,240 Speaker 1: Thanks for listening.