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 --> 00:00:13,080 Speaker 1: today's best minds, and Carolyn Levitt says truth social posts 4 00:00:13,080 --> 00:00:16,840 Speaker 1: are straight from Trump, except when they're not. A week 5 00:00:16,920 --> 00:00:20,880 Speaker 1: after his team blamed a staffer for in Obama as 6 00:00:21,000 --> 00:00:23,919 Speaker 1: ape video, we have such a great show for you today, 7 00:00:24,200 --> 00:00:28,200 Speaker 1: the David Pacman Shows. David Pacman stops by to talk 8 00:00:28,240 --> 00:00:31,240 Speaker 1: about Trump's Epstein cover up. Then we'll talk to New 9 00:00:31,280 --> 00:00:37,199 Speaker 1: Mexico Attorney General Raoul Torres about how ags can regulate 10 00:00:37,240 --> 00:00:42,360 Speaker 1: big tech and New Mexico authorities are going to investigate 11 00:00:42,479 --> 00:00:45,560 Speaker 1: Epstein's Zorro ranch. But first the news. 12 00:00:45,560 --> 00:00:49,400 Speaker 2: Smaya, I heard you go to fancy universities and win debates. 13 00:00:50,120 --> 00:00:54,360 Speaker 1: Oh, let's talk about me winning a debate against a 14 00:00:54,800 --> 00:00:58,360 Speaker 1: writer at large for the Wall Street Journal. I went 15 00:00:58,400 --> 00:01:02,560 Speaker 1: to the Yale Institute of Politics and we had a 16 00:01:02,640 --> 00:01:06,279 Speaker 1: debate Jerry Baker and I. Jerry Baker was the editor 17 00:01:06,319 --> 00:01:10,919 Speaker 1: in chief of the Wall Street Journal from some point 18 00:01:11,040 --> 00:01:15,920 Speaker 1: in the mid two thousands. He is a conservative, and 19 00:01:16,280 --> 00:01:21,080 Speaker 1: so we debated over whether his theory, which is that 20 00:01:21,319 --> 00:01:26,640 Speaker 1: journalists are responsible for the lack of journalistic trust, what 21 00:01:26,720 --> 00:01:27,399 Speaker 1: do you think of that. 22 00:01:27,880 --> 00:01:29,880 Speaker 2: I think it's a ridiculous thing that he should have 23 00:01:29,959 --> 00:01:31,240 Speaker 2: embarrassed to debate you Wan. 24 00:01:31,600 --> 00:01:37,440 Speaker 1: I won twenty three to sixteen. The thesis, the central thesis. 25 00:01:37,640 --> 00:01:39,360 Speaker 1: It was sort of based on a column he wrote 26 00:01:39,400 --> 00:01:42,200 Speaker 1: last week where he talked about how democracy dies in 27 00:01:42,360 --> 00:01:47,600 Speaker 1: darkness was a self aggrandizing bon mott cooked up by journalists, 28 00:01:47,600 --> 00:01:52,760 Speaker 1: when in fact it was popularized by one Jeff Bezos, 29 00:01:52,880 --> 00:01:56,480 Speaker 1: very much not a stalwart of journalism. 30 00:01:56,800 --> 00:01:59,440 Speaker 2: I think of him as the wokest guy in CEO Land. 31 00:02:00,080 --> 00:02:03,280 Speaker 1: You want to know where democracy dies in darkness actually 32 00:02:03,320 --> 00:02:07,240 Speaker 1: comes from? Tell me it comes from Justice Keith, the 33 00:02:07,440 --> 00:02:12,440 Speaker 1: grandson of enslaved people, who was a Sixth Circuit justice 34 00:02:12,800 --> 00:02:18,799 Speaker 1: who ruled in a case called Ashcroft v. Detroit Free Press, 35 00:02:19,200 --> 00:02:23,760 Speaker 1: ruling against immigration hearings that were private that did not 36 00:02:23,919 --> 00:02:28,560 Speaker 1: allow reporters in. This was right after nine to eleven 37 00:02:28,919 --> 00:02:32,079 Speaker 1: in two thousand and two, and the government was trying 38 00:02:32,280 --> 00:02:35,760 Speaker 1: to make it so you could do these immigration hearings 39 00:02:35,800 --> 00:02:40,840 Speaker 1: without having any kind of oversight, and Justice Keith said, 40 00:02:40,960 --> 00:02:43,600 Speaker 1: in fact that he said something to the effect of, 41 00:02:44,000 --> 00:02:47,120 Speaker 1: you know, you have to allow sunlight in in order 42 00:02:47,280 --> 00:02:52,440 Speaker 1: to have democracy. So it was in fact, the opposite 43 00:02:52,520 --> 00:02:56,040 Speaker 1: of a self aggrandizing journalist. It was a judge who 44 00:02:56,480 --> 00:03:02,320 Speaker 1: had found journalism helpful in protect democratic norms. Interesting hard 45 00:03:02,360 --> 00:03:07,160 Speaker 1: to think of a better way to debunk than just 46 00:03:07,360 --> 00:03:13,160 Speaker 1: to actually show that my opponent was completely wrong about everything. 47 00:03:14,680 --> 00:03:17,400 Speaker 1: Invite me to your college, because I will now debate. 48 00:03:17,680 --> 00:03:18,040 Speaker 3: Thank you. 49 00:03:18,680 --> 00:03:21,280 Speaker 2: So, speaking of being completely wrong about everything, I think 50 00:03:21,320 --> 00:03:24,280 Speaker 2: of a company called Meta, who I hate to death. 51 00:03:24,440 --> 00:03:26,560 Speaker 2: One of the things that's been argued is that when 52 00:03:26,600 --> 00:03:28,840 Speaker 2: Democrats get the levers of power again, we have to 53 00:03:28,840 --> 00:03:32,240 Speaker 2: treat the Internet as pipes, and that social media cannot 54 00:03:32,240 --> 00:03:34,920 Speaker 2: be controlled by these groups because they hold too much 55 00:03:34,960 --> 00:03:37,960 Speaker 2: of their own interests in not our public goods interests. 56 00:03:37,960 --> 00:03:40,200 Speaker 2: And Meta has decided to show that in the way 57 00:03:40,200 --> 00:03:43,000 Speaker 2: of forming a sixty five million dollar election push to 58 00:03:43,040 --> 00:03:45,640 Speaker 2: advance the AI agenda, which is as we see at 59 00:03:45,640 --> 00:03:48,360 Speaker 2: each pool, is getting more and more unpopular with the 60 00:03:48,360 --> 00:03:49,080 Speaker 2: American people. 61 00:03:49,320 --> 00:03:53,520 Speaker 1: There are a number of these kind of things starting 62 00:03:53,640 --> 00:03:58,560 Speaker 1: already to push midterm legislation. So this is what's happened. 63 00:03:58,760 --> 00:04:02,160 Speaker 1: We have these midterms coming up in nine months. Many 64 00:04:02,320 --> 00:04:07,720 Speaker 1: different groups have figured out they can buy American elections, 65 00:04:07,960 --> 00:04:12,000 Speaker 1: so we have Meta making this sixty million dollar investment 66 00:04:12,160 --> 00:04:16,200 Speaker 1: to push an AI agenda that means to support AI 67 00:04:16,360 --> 00:04:19,760 Speaker 1: friendly candidates we have. There was another story that we 68 00:04:19,880 --> 00:04:24,360 Speaker 1: had in here about APAC, the lobby that protects Israel, 69 00:04:24,600 --> 00:04:29,400 Speaker 1: wanting to put money in elections. We have gambling, right, 70 00:04:29,400 --> 00:04:33,560 Speaker 1: because gambling is a big business in America, wanting to 71 00:04:33,600 --> 00:04:37,720 Speaker 1: put money in elections. We basically have now a system 72 00:04:38,040 --> 00:04:41,919 Speaker 1: where our elections are sold to the highest bidder. Now, 73 00:04:42,400 --> 00:04:46,080 Speaker 1: I want to remind you that the richest man in 74 00:04:46,160 --> 00:04:51,680 Speaker 1: the world was very involved with helping to elect Donald Trump, 75 00:04:52,040 --> 00:04:56,400 Speaker 1: So there really is a sense in which these people 76 00:04:56,480 --> 00:05:00,480 Speaker 1: are buying elections. Now, that said, what we see I saw, 77 00:05:00,600 --> 00:05:04,200 Speaker 1: at least what we saw in that Wisconsin Supreme Court 78 00:05:04,279 --> 00:05:07,840 Speaker 1: case right after the election of Trump was that despite 79 00:05:07,880 --> 00:05:12,000 Speaker 1: the fact that the Republicans way overspend, the Democrats still won. 80 00:05:12,440 --> 00:05:15,920 Speaker 1: So it's not entirely clear that it works, but we're 81 00:05:15,920 --> 00:05:18,040 Speaker 1: certainly going to see that. And in a world of 82 00:05:18,080 --> 00:05:21,360 Speaker 1: AI and a world of you know, not a ton 83 00:05:21,400 --> 00:05:26,640 Speaker 1: of public accountability, of fake videos, fake recordings, fake pictures, 84 00:05:26,839 --> 00:05:28,960 Speaker 1: it's going to get harder and harder to figure out 85 00:05:29,000 --> 00:05:32,880 Speaker 1: what's true and what's not true. So buckle up, team, 86 00:05:32,960 --> 00:05:35,040 Speaker 1: because it's going to be a bumpy ride. 87 00:05:35,240 --> 00:05:39,400 Speaker 2: Yeah. So here's the interesting one. Quite a stark headline. 88 00:05:39,520 --> 00:05:42,760 Speaker 2: Jeffries puts rare public pressure on fellow Democrats, kind of 89 00:05:42,760 --> 00:05:45,440 Speaker 2: a contrast with Nancy Pelosi, who is known for going 90 00:05:45,440 --> 00:05:48,279 Speaker 2: to people's office and say get in line, motherfucker. I 91 00:05:48,279 --> 00:05:50,480 Speaker 2: think that this is a pretty interesting move right here. 92 00:05:50,680 --> 00:05:52,960 Speaker 1: So here's what I would say, just to get back 93 00:05:52,960 --> 00:05:56,760 Speaker 1: to Nancy Pelosi. Nancy Blissy didn't put public pressure. She 94 00:05:56,880 --> 00:06:01,000 Speaker 1: put private pressure, and that I think is important difference 95 00:06:01,080 --> 00:06:04,159 Speaker 1: because I don't think she would put public pressure, but 96 00:06:04,240 --> 00:06:06,799 Speaker 1: I think she would, you know, go to your house 97 00:06:06,800 --> 00:06:08,920 Speaker 1: and make sure you voted the way she wanted you to, 98 00:06:09,520 --> 00:06:13,040 Speaker 1: which is I think a testament to her as a leader. 99 00:06:13,360 --> 00:06:17,760 Speaker 1: But a lot of people, including you, are very crabby 100 00:06:17,800 --> 00:06:22,719 Speaker 1: with Jeffries because of his complete refusal to say things 101 00:06:22,760 --> 00:06:26,719 Speaker 1: like abolage ice and also, you know, he feels very 102 00:06:26,880 --> 00:06:31,200 Speaker 1: kind of meandering and doesn't he doesn't feel like he's fighting, 103 00:06:31,600 --> 00:06:33,080 Speaker 1: and that's a complaint we hear a lot. 104 00:06:33,160 --> 00:06:33,360 Speaker 3: Now. 105 00:06:33,560 --> 00:06:37,560 Speaker 1: I don't feel quite as mad at Jeffries as you do, 106 00:06:37,760 --> 00:06:43,920 Speaker 1: but he is really, really, really wants as many Democratic 107 00:06:43,960 --> 00:06:47,080 Speaker 1: controlled states as possible to redraw their legislative maps to 108 00:06:47,120 --> 00:06:51,799 Speaker 1: counter the GOP's mid decade registricting. This is quite good 109 00:06:52,120 --> 00:06:54,320 Speaker 1: and it is quite a good thing for him to 110 00:06:54,320 --> 00:06:58,760 Speaker 1: be focused on. So basically, marilynd Governor Wes Moore has 111 00:06:58,800 --> 00:07:01,520 Speaker 1: had a really hard time getting the Democrats in his 112 00:07:01,600 --> 00:07:04,960 Speaker 1: state to do what he wants, and Jeffries is out there, 113 00:07:05,080 --> 00:07:08,880 Speaker 1: I think, providing support and hoping to get that going. 114 00:07:08,960 --> 00:07:13,520 Speaker 1: And it is not great that these Democrats have gone 115 00:07:13,520 --> 00:07:16,920 Speaker 1: against him, because remember, Wes Moore is a pretty talented 116 00:07:17,200 --> 00:07:19,600 Speaker 1: governor and a lot of people would like to see 117 00:07:19,680 --> 00:07:22,120 Speaker 1: him on a bigger stage and this kind of thing. 118 00:07:22,200 --> 00:07:25,880 Speaker 1: If you can't keep your state reps in check, that's 119 00:07:26,240 --> 00:07:29,320 Speaker 1: not great. So I do think Jeffries is doing this 120 00:07:29,560 --> 00:07:33,280 Speaker 1: with an eye on the future. And I actually think 121 00:07:33,680 --> 00:07:36,680 Speaker 1: that Jeffries. Again, I know you're going to be mad 122 00:07:36,680 --> 00:07:39,280 Speaker 1: at me, but Jeffries, I think is actually pretty smart. 123 00:07:39,320 --> 00:07:42,480 Speaker 1: I mean, I think he's I know, see he's laughing. 124 00:07:42,920 --> 00:07:44,920 Speaker 1: He may not be as lefty as you like. 125 00:07:45,360 --> 00:07:47,920 Speaker 2: That's not what it's about. It's that this time needs 126 00:07:47,960 --> 00:07:50,160 Speaker 2: a real leader, and he's horrible. 127 00:07:50,320 --> 00:07:52,560 Speaker 1: I don't know that he's a leader, but I think 128 00:07:52,720 --> 00:07:56,600 Speaker 1: in this particular moment, he is being smart here and 129 00:07:57,040 --> 00:08:00,480 Speaker 1: trying to back up Wes Moore, and that's what this 130 00:08:00,640 --> 00:08:03,960 Speaker 1: is about, and trying to continue redistricting. I have been 131 00:08:04,040 --> 00:08:07,480 Speaker 1: very critical of Jefferies. I still think it's possible he's 132 00:08:07,480 --> 00:08:09,960 Speaker 1: trying to get his footing, whereas I feel much more 133 00:08:10,000 --> 00:08:11,480 Speaker 1: negative about Chuck shooting. 134 00:08:11,840 --> 00:08:14,480 Speaker 2: This is such a critical time to have somebody who's 135 00:08:14,520 --> 00:08:17,200 Speaker 2: showed such a bad record. Is abhorred to me. 136 00:08:17,520 --> 00:08:19,640 Speaker 1: You know, I'm not going to tell you what to do, 137 00:08:19,760 --> 00:08:22,760 Speaker 1: but I'm just saying that, let's see a play out. 138 00:08:23,240 --> 00:08:27,360 Speaker 2: So speaking of how things play out, imagine that before 139 00:08:27,480 --> 00:08:30,960 Speaker 2: somebody self emolated. For those who aren't familiar with the 140 00:08:31,040 --> 00:08:33,760 Speaker 2: term mom, that is a horrible way to die. Imagine 141 00:08:33,760 --> 00:08:35,920 Speaker 2: that you had text people that you had an affair 142 00:08:36,000 --> 00:08:39,840 Speaker 2: with your boss, who is Representative Tony Gonzalez, a Republican 143 00:08:39,880 --> 00:08:40,440 Speaker 2: of Texas. 144 00:08:40,800 --> 00:08:45,360 Speaker 1: So this is a horrible story, just a horrible story. 145 00:08:45,840 --> 00:08:49,559 Speaker 1: He has this Evaldi office. You'll remember Evaldi. It's right 146 00:08:49,600 --> 00:08:52,320 Speaker 1: on the border. You've recognize the name because there was 147 00:08:52,320 --> 00:08:55,520 Speaker 1: a mass shooting there. In typical America fashion, this aid 148 00:08:55,880 --> 00:08:58,600 Speaker 1: thirty five year old. The people who worked with her 149 00:08:58,679 --> 00:09:02,040 Speaker 1: described her as like one of the greatest people. She 150 00:09:02,480 --> 00:09:08,439 Speaker 1: was extremely beloved in the office, and basically she fell 151 00:09:08,480 --> 00:09:11,400 Speaker 1: in love with her boss. They had an affair. It 152 00:09:11,480 --> 00:09:16,040 Speaker 1: was an open secret. Then she got depressed. The congressman 153 00:09:16,080 --> 00:09:19,640 Speaker 1: did not visit the office, he canceled all sorts of 154 00:09:19,920 --> 00:09:23,400 Speaker 1: different meetings when he was supposed to go there, and 155 00:09:23,440 --> 00:09:27,920 Speaker 1: then she killed herself. Now, who knows why people kill themselves, 156 00:09:27,960 --> 00:09:32,640 Speaker 1: but it is still just a horrible story. And it's 157 00:09:32,679 --> 00:09:35,240 Speaker 1: not again, this is like the Epstein Files. Is it 158 00:09:35,320 --> 00:09:40,000 Speaker 1: not partisan? It's just horrendous. And an attorney for the 159 00:09:40,120 --> 00:09:42,719 Speaker 1: husband told the Express News, by the way, none of 160 00:09:42,760 --> 00:09:45,560 Speaker 1: us would be reported if there wasn't local Texas news. 161 00:09:45,640 --> 00:09:49,120 Speaker 1: Another thing, like, we need to know this stuff. These 162 00:09:49,160 --> 00:09:53,160 Speaker 1: are the people who are making the laws that dictate 163 00:09:53,240 --> 00:09:56,440 Speaker 1: whether your daughter can get an abortion. Okay, you know 164 00:09:56,520 --> 00:09:59,440 Speaker 1: he's a member of Congress. This is I think important 165 00:09:59,440 --> 00:10:02,760 Speaker 1: to know about. The attorney for her husband said that 166 00:10:02,800 --> 00:10:05,160 Speaker 1: the affair was an open secret, but he didn't believe 167 00:10:05,160 --> 00:10:09,400 Speaker 1: it was the cause of death. Again, just atrocious behavior 168 00:10:09,440 --> 00:10:11,480 Speaker 1: from a Republican member of Congress. 169 00:10:11,760 --> 00:10:13,560 Speaker 2: I mean, I'm old enough to remember when you and 170 00:10:13,600 --> 00:10:16,920 Speaker 2: I were a bit younger, where in a pre Epstein world, 171 00:10:17,120 --> 00:10:19,480 Speaker 2: people would always tell us the reason we couldn't have 172 00:10:19,720 --> 00:10:22,120 Speaker 2: these congressmen having affairs despite the fact that you know, 173 00:10:22,160 --> 00:10:24,600 Speaker 2: the child Dredge, Levis, et cetera. All these things were 174 00:10:24,600 --> 00:10:27,440 Speaker 2: clearly happening. Was that they could be blackmailed and then 175 00:10:27,640 --> 00:10:30,800 Speaker 2: extorted to support things they shouldn't be done. That conversation, 176 00:10:30,920 --> 00:10:33,000 Speaker 2: this age of corruption seems to have just elapsed. 177 00:10:33,200 --> 00:10:37,600 Speaker 1: Well, I think the idea is that Trump is basically. 178 00:10:36,880 --> 00:10:37,800 Speaker 2: Burget to the ground. 179 00:10:37,920 --> 00:10:41,280 Speaker 1: Yes, It's like, wait, is being blackmailed bad? Is that 180 00:10:41,360 --> 00:10:44,840 Speaker 1: something you don't want from everyone an elected? Because I 181 00:10:44,880 --> 00:10:46,160 Speaker 1: think we're seeing a lot of it. 182 00:10:46,679 --> 00:10:50,079 Speaker 2: Yeah. 183 00:10:50,120 --> 00:10:55,440 Speaker 1: We have exciting news over at our YouTube channel. The 184 00:10:55,679 --> 00:11:00,840 Speaker 1: third episode is out now from our series Project nine 185 00:11:01,040 --> 00:11:05,320 Speaker 1: are Reimagining, where we examine what went wrong with democrats 186 00:11:05,400 --> 00:11:08,280 Speaker 1: approach to policy and how we can correct it and 187 00:11:08,400 --> 00:11:14,880 Speaker 1: deliver changes for the American people. The first episodes dove 188 00:11:14,960 --> 00:11:20,640 Speaker 1: into campaign finance, reform, anti trust, and regulation. Our newest 189 00:11:20,800 --> 00:11:25,360 Speaker 1: episode is on how we solidify reproductive rights for women. 190 00:11:25,640 --> 00:11:28,760 Speaker 1: We talk to the smartest names in the field, like 191 00:11:28,840 --> 00:11:33,360 Speaker 1: Abortion every Day is Jessica Valenti, the Center for Reproductive Rights, 192 00:11:33,559 --> 00:11:38,640 Speaker 1: Nancy Northam, UCLA is oh and Mary Ziegler and the 193 00:11:38,720 --> 00:11:43,880 Speaker 1: Gout Macher Institute's Kelly Badden. Republicans were prepared for when 194 00:11:43,920 --> 00:11:47,520 Speaker 1: they got the levers of power. Democrats need to be too. 195 00:11:47,920 --> 00:11:51,960 Speaker 1: So please head over to YouTube and search Molly John 196 00:11:52,040 --> 00:11:55,600 Speaker 1: Fast Project twenty twenty nine or go to the Fast 197 00:11:55,640 --> 00:11:59,280 Speaker 1: Politics YouTube channel page and you'll find it there. Help 198 00:11:59,360 --> 00:12:03,080 Speaker 1: us the word. David Pacman is the host of the 199 00:12:03,160 --> 00:12:04,199 Speaker 1: David Pacman Show. 200 00:12:04,320 --> 00:12:07,240 Speaker 4: Hi, David, good to be here. Thanks for having me. 201 00:12:07,480 --> 00:12:11,320 Speaker 1: Delighted to have you the idea that the Epstein files 202 00:12:11,920 --> 00:12:14,720 Speaker 1: are still and I'm glad of it because I think 203 00:12:14,760 --> 00:12:18,120 Speaker 1: it's the only way we can get the American people 204 00:12:18,800 --> 00:12:22,839 Speaker 1: to have this conversation. But it's interesting to me that 205 00:12:22,960 --> 00:12:26,760 Speaker 1: the White Trump has behaved around it has only made 206 00:12:26,800 --> 00:12:27,240 Speaker 1: it more of. 207 00:12:27,240 --> 00:12:29,880 Speaker 4: A story that's right. And you know, there was this 208 00:12:29,960 --> 00:12:32,760 Speaker 4: moment where there was a little bit of finger wagging. 209 00:12:32,880 --> 00:12:35,760 Speaker 4: You know, if these files really come out, it might 210 00:12:35,840 --> 00:12:39,280 Speaker 4: be bad for some powerful Democrats, And everybody I know 211 00:12:39,360 --> 00:12:41,640 Speaker 4: on the left has said, Okay, well, let the chips 212 00:12:41,760 --> 00:12:44,480 Speaker 4: kind of fall where they may. We don't really care 213 00:12:44,520 --> 00:12:46,520 Speaker 4: about that. And then they said, oh, okay, well then 214 00:12:46,520 --> 00:12:48,559 Speaker 4: we've got to come up with a different reason to 215 00:12:48,840 --> 00:12:51,839 Speaker 4: try to cover these up. Listen, the polling is pretty clear, 216 00:12:52,320 --> 00:12:55,520 Speaker 4: which is that even half of Republicans now think that 217 00:12:55,559 --> 00:12:59,520 Speaker 4: this administration is trying to suppress the full Epstein files. 218 00:13:00,320 --> 00:13:04,000 Speaker 4: But the question is why. And I'm very open to 219 00:13:04,040 --> 00:13:07,120 Speaker 4: the idea that Trump is not implicated in the files 220 00:13:07,360 --> 00:13:10,920 Speaker 4: as a criminal perpetrator himself. Maybe he is, Maybe he isn't. 221 00:13:11,120 --> 00:13:13,520 Speaker 4: Until I see evidence of that, I don't know, but 222 00:13:13,600 --> 00:13:15,720 Speaker 4: it's very clear that he has an incentive and a 223 00:13:15,760 --> 00:13:18,439 Speaker 4: reason for wanting to cover this up. And maybe it's 224 00:13:18,440 --> 00:13:20,720 Speaker 4: because he believes that it would be bad for people 225 00:13:20,760 --> 00:13:22,560 Speaker 4: he needs on his good side, who will come to 226 00:13:22,640 --> 00:13:25,520 Speaker 4: him and say, why didn't you prevent this from coming up? Right? 227 00:13:25,640 --> 00:13:27,240 Speaker 4: I don't know what the reason is, but this is 228 00:13:27,280 --> 00:13:31,439 Speaker 4: not the behavior of someone who believes full transparency will 229 00:13:31,480 --> 00:13:34,280 Speaker 4: be vindicating. If you believed that, then you would actually 230 00:13:34,520 --> 00:13:36,000 Speaker 4: push for the full transparency. 231 00:13:36,520 --> 00:13:40,800 Speaker 1: Yeah, you know, it's really a smart point to talk 232 00:13:40,840 --> 00:13:44,120 Speaker 1: about that, because it is like, it's bad enough without 233 00:13:44,200 --> 00:13:49,880 Speaker 1: getting into total paranoia or like, you know, even just 234 00:13:49,920 --> 00:13:54,040 Speaker 1: the reality of what we know is worse than many 235 00:13:54,080 --> 00:13:57,800 Speaker 1: many conspiracy theories. Right. I like the way you're approaching 236 00:13:57,840 --> 00:14:01,520 Speaker 1: this because I think that even we asked the truth 237 00:14:01,640 --> 00:14:04,920 Speaker 1: as we know it is still incredibly damning. And you 238 00:14:04,960 --> 00:14:10,000 Speaker 1: know today Les Waxler sat for deposition. Les Wexner is 239 00:14:10,120 --> 00:14:14,400 Speaker 1: the CEO of the Limited brand who gave Jeffrey Epstein 240 00:14:14,920 --> 00:14:18,760 Speaker 1: the townhouse his New York City town has, who was 241 00:14:18,960 --> 00:14:22,000 Speaker 1: intimately involved in all of this, but we don't really 242 00:14:22,120 --> 00:14:25,400 Speaker 1: know how, whether he was blackmailed or what it looks like. 243 00:14:25,840 --> 00:14:29,480 Speaker 1: And he did say that he had not been interviewed 244 00:14:29,640 --> 00:14:34,400 Speaker 1: by the FBI, which in itself is in my mind, 245 00:14:34,760 --> 00:14:36,560 Speaker 1: absolutely flattergasting. 246 00:14:37,600 --> 00:14:40,720 Speaker 4: It is absolutely and the fascinating role of the FBI 247 00:14:40,760 --> 00:14:43,680 Speaker 4: at the middle of this is kind of being accentuated 248 00:14:43,760 --> 00:14:47,280 Speaker 4: because it just so happened that the people who ended 249 00:14:47,360 --> 00:14:50,040 Speaker 4: up as director and deputy director for a period of time. 250 00:14:50,080 --> 00:14:52,520 Speaker 4: Of course, Dan Bongino now went back to podcasting, which 251 00:14:52,520 --> 00:14:56,520 Speaker 4: is a whole other story. They spent years trading in 252 00:14:56,560 --> 00:14:59,920 Speaker 4: the social media space on the idea that there was 253 00:15:00,200 --> 00:15:02,720 Speaker 4: a lot that people still needed to find out about, 254 00:15:02,920 --> 00:15:05,480 Speaker 4: and Trump was the guy who was going to reveal it. 255 00:15:05,520 --> 00:15:10,120 Speaker 4: Which there's a bigger story here, Molly about populist ideologues 256 00:15:10,800 --> 00:15:13,480 Speaker 4: where they build a movement around personality and it's very 257 00:15:13,520 --> 00:15:16,880 Speaker 4: easy to make economic and other promises when you're campaigning, 258 00:15:17,200 --> 00:15:18,720 Speaker 4: and then all of a sudden you're in the position 259 00:15:18,760 --> 00:15:22,760 Speaker 4: of power, and somehow all those promises become very, very inconvenient. 260 00:15:22,800 --> 00:15:25,840 Speaker 4: But as soon as Cash Pattel and Dan Bongino were 261 00:15:25,880 --> 00:15:29,160 Speaker 4: in stated as FBI director and deputy director, respectively, they 262 00:15:29,160 --> 00:15:31,120 Speaker 4: all of a sudden said, hey, you know what Epstein 263 00:15:31,200 --> 00:15:33,760 Speaker 4: did take his own life. There's really no client list, 264 00:15:34,040 --> 00:15:37,160 Speaker 4: there's no more perpetrators, there's not going to be more prosecutions. 265 00:15:37,640 --> 00:15:41,680 Speaker 4: And that is also, interestingly a real problem with a 266 00:15:41,680 --> 00:15:44,920 Speaker 4: lot of these Mannisphere podcasters who now are saying, wait 267 00:15:44,920 --> 00:15:47,800 Speaker 4: a second, you expect us to forget about the years 268 00:15:47,840 --> 00:15:50,840 Speaker 4: you spent trading on the possibility of what is going 269 00:15:50,840 --> 00:15:53,600 Speaker 4: to come out? Now just accept there's nothing there. So 270 00:15:53,640 --> 00:15:55,640 Speaker 4: there's all these different layers to this story. 271 00:15:56,240 --> 00:15:58,680 Speaker 1: I wonder if we could talk for a minute about 272 00:15:58,680 --> 00:16:02,480 Speaker 1: this idea. Like they do, both go into government, they 273 00:16:02,560 --> 00:16:06,000 Speaker 1: both go from we're going to find out the story 274 00:16:06,040 --> 00:16:09,880 Speaker 1: behind the Epstein files. Two, there is nothing here. A 275 00:16:09,960 --> 00:16:15,520 Speaker 1: more paranoid person might be might find this suspect. 276 00:16:16,000 --> 00:16:19,840 Speaker 4: Yes, well, even people who are not predisposed to paranoia 277 00:16:19,880 --> 00:16:22,800 Speaker 4: and conspiracy theories are finding the suspect. There's a couple 278 00:16:23,040 --> 00:16:27,160 Speaker 4: possible explanations, and the answer is probably a few different things. One, 279 00:16:27,840 --> 00:16:30,920 Speaker 4: we know that before they were in government, they were 280 00:16:30,960 --> 00:16:34,080 Speaker 4: exaggerating for clicks, so that's like, that's number one if 281 00:16:34,120 --> 00:16:36,720 Speaker 4: the truth is here. At one point they were way 282 00:16:36,760 --> 00:16:40,200 Speaker 4: over here because their goal was to sell clicks and 283 00:16:40,240 --> 00:16:43,320 Speaker 4: make money off of their podcasts. Okay, cool. Then they 284 00:16:43,360 --> 00:16:45,280 Speaker 4: went all the way to this side, which is this 285 00:16:45,440 --> 00:16:50,080 Speaker 4: is like nothing, nothing, nothing, there's no book, there's no perpetrators, 286 00:16:50,080 --> 00:16:53,760 Speaker 4: there's no anything that is suspect because it seems as 287 00:16:53,760 --> 00:16:57,560 Speaker 4: though now you're participating in a cover up because the truth, 288 00:16:57,600 --> 00:17:00,560 Speaker 4: which is here is going to be bad for some 289 00:17:00,600 --> 00:17:03,320 Speaker 4: people that you probably want to protect. But it has 290 00:17:03,360 --> 00:17:05,919 Speaker 4: been kind of an interesting exercise in how and you know, 291 00:17:05,960 --> 00:17:07,720 Speaker 4: on the other side, it's sort of happening with zoron 292 00:17:07,800 --> 00:17:10,359 Speaker 4: Mamdanni in New York City as well, where all of 293 00:17:10,400 --> 00:17:12,840 Speaker 4: a sudden, it's, hey, maybe a nine and a half 294 00:17:12,920 --> 00:17:16,679 Speaker 4: percent increase to the tax, and now I'm going to 295 00:17:16,720 --> 00:17:19,800 Speaker 4: be doing the clearing of the homeless encampments. At some point, 296 00:17:19,960 --> 00:17:24,400 Speaker 4: the rhetoric becomes reality, and this pulls people towards the middle. 297 00:17:24,440 --> 00:17:26,880 Speaker 1: Me And that's a really good point, and it's true. 298 00:17:27,000 --> 00:17:29,639 Speaker 1: I mean it's something I wouldn't have like quite have 299 00:17:29,920 --> 00:17:33,080 Speaker 1: jumped from. But I do think it's important to see 300 00:17:33,119 --> 00:17:35,760 Speaker 1: the difference between government service and podcasting. 301 00:17:36,000 --> 00:17:38,480 Speaker 4: It is from campaigning to governing also. 302 00:17:38,320 --> 00:17:42,080 Speaker 1: Right for sure, it's interesting to me just to go 303 00:17:42,240 --> 00:17:46,560 Speaker 1: back to the Bongino cash Betel thing, because so Bongino 304 00:17:46,680 --> 00:17:51,120 Speaker 1: leaves the government now is having cash on his podcast. 305 00:17:51,359 --> 00:17:53,680 Speaker 1: He had that moment where he's like, I've seen things 306 00:17:53,760 --> 00:17:58,720 Speaker 1: that have you know, whatever have have have made me humbled. 307 00:17:59,200 --> 00:18:01,520 Speaker 1: And then and you know, it's too much work and 308 00:18:01,560 --> 00:18:03,720 Speaker 1: I'm out. I wonder if we could talk for a 309 00:18:03,800 --> 00:18:07,840 Speaker 1: minute about like the sort of nuts and bolts of Epstein. 310 00:18:08,320 --> 00:18:11,960 Speaker 1: So we have Pambondy. She brought these conservative influencers into 311 00:18:12,000 --> 00:18:16,760 Speaker 1: the White House. I actually think it was weirdly like 312 00:18:17,240 --> 00:18:20,360 Speaker 1: it sort of made sense in that world, right, because 313 00:18:20,359 --> 00:18:22,879 Speaker 1: they had campaigned with those people, so they'd keep them going, 314 00:18:23,160 --> 00:18:26,399 Speaker 1: brought them in, gave them phase one. Phase one was 315 00:18:26,640 --> 00:18:30,360 Speaker 1: just zeroxes of stuff everyone had already seen. And then 316 00:18:30,400 --> 00:18:33,040 Speaker 1: she said, there's a client list on my desk. What 317 00:18:33,119 --> 00:18:35,320 Speaker 1: do you think she was thinking there? Do you think 318 00:18:35,320 --> 00:18:37,920 Speaker 1: she was thinking that they would just forget about? I mean, 319 00:18:37,960 --> 00:18:42,080 Speaker 1: like how do you get yourself all like, how do 320 00:18:42,119 --> 00:18:45,560 Speaker 1: you get yourself into paint yourself into such a corner. 321 00:18:46,080 --> 00:18:50,040 Speaker 4: I think there were two calculations she was making. One 322 00:18:50,080 --> 00:18:53,479 Speaker 4: was that this wasn't going to create the uproar that 323 00:18:53,520 --> 00:18:56,600 Speaker 4: it has, even from the people on the right who 324 00:18:56,600 --> 00:18:59,160 Speaker 4: are now realizing we believe there's a cover up here. 325 00:18:59,160 --> 00:19:00,919 Speaker 4: So I think number one is she didn't expect the 326 00:19:00,920 --> 00:19:03,520 Speaker 4: pressure to get to be what it was. And number two, 327 00:19:03,520 --> 00:19:06,320 Speaker 4: I think she probably assumed because remember that was long 328 00:19:06,359 --> 00:19:09,280 Speaker 4: before the Epstein Transparency Act was passed. And to what 329 00:19:09,359 --> 00:19:11,560 Speaker 4: degree they're being held to it is a different question, 330 00:19:11,600 --> 00:19:14,959 Speaker 4: But I think at that point she might have imagined, 331 00:19:15,320 --> 00:19:18,120 Speaker 4: we're going to bury all the serious stuff in paperwork, 332 00:19:18,560 --> 00:19:23,359 Speaker 4: ongoing investigation, redactions, victims must be protected, you know, just 333 00:19:23,400 --> 00:19:25,840 Speaker 4: like do the full treatment, and the stuff wouldn't see 334 00:19:25,880 --> 00:19:28,479 Speaker 4: the light of day. And then I think that that 335 00:19:28,600 --> 00:19:32,720 Speaker 4: calculation started to change as people clearly made it obvious 336 00:19:32,760 --> 00:19:35,240 Speaker 4: that they weren't going to forget about this the Epstein 337 00:19:35,280 --> 00:19:38,400 Speaker 4: Transparency Act went forward. I think it was fundamentally a miscalculation. 338 00:19:38,840 --> 00:19:41,240 Speaker 1: The client list, what do you think she meant? You 339 00:19:41,320 --> 00:19:43,240 Speaker 1: think she just made that up out of whole cloth? 340 00:19:43,440 --> 00:19:46,679 Speaker 1: Or for example, we know that Thomas Massey has this 341 00:19:46,800 --> 00:19:49,880 Speaker 1: list of two hundred and fifty people who have been 342 00:19:50,000 --> 00:19:53,919 Speaker 1: named by the victims. We don't know exactly what that means, 343 00:19:53,960 --> 00:19:56,600 Speaker 1: but it's not unfair to think, you know, there were 344 00:19:56,600 --> 00:20:00,560 Speaker 1: these ten CO or eight to ten CO conspirators, unfair 345 00:20:00,600 --> 00:20:02,680 Speaker 1: to think that some of those might have been quote 346 00:20:02,720 --> 00:20:04,520 Speaker 1: unquote clients. No, it's not. 347 00:20:04,640 --> 00:20:07,679 Speaker 4: And so what I don't think the client list means 348 00:20:08,040 --> 00:20:11,120 Speaker 4: is Epstein's rolodex, you know, the black Belt, because that's 349 00:20:11,119 --> 00:20:15,200 Speaker 4: been out and that includes all sorts of different people. Yeah, men, women, 350 00:20:15,320 --> 00:20:17,440 Speaker 4: of all different ages. So I don't believe that that's 351 00:20:17,480 --> 00:20:20,120 Speaker 4: the list. I don't really know that there is a 352 00:20:20,320 --> 00:20:23,560 Speaker 4: file that is here's the list of people I have 353 00:20:23,680 --> 00:20:27,480 Speaker 4: helped whatever, right who as as clients, providing them with 354 00:20:28,000 --> 00:20:30,000 Speaker 4: women or I don't even know. I don't know that 355 00:20:30,040 --> 00:20:33,280 Speaker 4: there is a document. I think the totality of the 356 00:20:33,320 --> 00:20:36,959 Speaker 4: files is the meat from which you would build a list, 357 00:20:37,080 --> 00:20:39,600 Speaker 4: and with some of them it would be communications that 358 00:20:39,640 --> 00:20:41,879 Speaker 4: make it clear that there was a relationship here of 359 00:20:41,920 --> 00:20:45,320 Speaker 4: providing whatever it is. I think it's the information from 360 00:20:45,359 --> 00:20:47,720 Speaker 4: which you would make a list. I wouldn't be shocked 361 00:20:47,800 --> 00:20:50,639 Speaker 4: if there wasn't like a specific here's file three eighty 362 00:20:50,680 --> 00:20:51,880 Speaker 4: six and it's the list. 363 00:20:52,040 --> 00:20:54,200 Speaker 1: What do you think about this idea that news Channel 364 00:20:54,240 --> 00:20:58,080 Speaker 1: four has that only they looked at the telebytes and 365 00:20:58,119 --> 00:21:01,120 Speaker 1: the gigabytes and I'm definitely getting this wrong, by the way, 366 00:21:01,240 --> 00:21:03,679 Speaker 1: and they decided that only two percent of the files 367 00:21:03,720 --> 00:21:05,679 Speaker 1: have been released. Do you think that's right or do 368 00:21:05,720 --> 00:21:07,320 Speaker 1: you think that's a sort of mistake. 369 00:21:07,680 --> 00:21:10,879 Speaker 4: I genuinely don't know. You know, there's at one point 370 00:21:10,880 --> 00:21:13,520 Speaker 4: it was three million f six million have been released. 371 00:21:13,520 --> 00:21:16,480 Speaker 4: At another point it was thirty thousand of the three million. 372 00:21:16,880 --> 00:21:18,960 Speaker 4: I really don't know. I mean, I think there's two 373 00:21:19,160 --> 00:21:23,720 Speaker 4: important points here. One they still aren't being transparent and 374 00:21:23,840 --> 00:21:26,800 Speaker 4: just releasing everything that we know what percentage exactly, I'm 375 00:21:26,840 --> 00:21:30,879 Speaker 4: not really sure. And two what's been released already is 376 00:21:30,960 --> 00:21:33,840 Speaker 4: not being treated as seriously as it should be by 377 00:21:33,880 --> 00:21:36,679 Speaker 4: the DOJ, because just what's been made public should be 378 00:21:36,760 --> 00:21:39,920 Speaker 4: enough for further investigations. It may be criminal prosecution. I 379 00:21:39,960 --> 00:21:42,359 Speaker 4: don't know, but BONDI has said like this is the 380 00:21:42,440 --> 00:21:44,560 Speaker 4: end of the road, there's no more prosecutions, there's no 381 00:21:44,600 --> 00:21:47,280 Speaker 4: more anything. So that we know what percentage we have 382 00:21:47,400 --> 00:21:48,480 Speaker 4: right now, I'm not sure. 383 00:21:48,680 --> 00:21:48,920 Speaker 3: Yeah. 384 00:21:48,960 --> 00:21:52,040 Speaker 1: And also I think that unredact the files that are 385 00:21:52,080 --> 00:21:55,399 Speaker 1: still redacted that are supposed to not be redacted. You know, 386 00:21:55,440 --> 00:21:59,520 Speaker 1: there are these two rounds of reactions, and there's this 387 00:21:59,520 --> 00:22:03,399 Speaker 1: this original redaction that went the DJ already redacted and 388 00:22:03,440 --> 00:22:06,720 Speaker 1: those were supposed to be unredacted, and every redaction was 389 00:22:06,760 --> 00:22:10,120 Speaker 1: supposed to be justified, which that has not happened at all. 390 00:22:10,480 --> 00:22:13,560 Speaker 1: So I wonder if you could talk with me for 391 00:22:13,600 --> 00:22:17,159 Speaker 1: a minute about what you think about this moment, Like 392 00:22:17,240 --> 00:22:20,720 Speaker 1: were nine months the mid midterms, Donald Trump full on 393 00:22:20,960 --> 00:22:24,880 Speaker 1: freak out largely, which is not so unusual for him, 394 00:22:24,920 --> 00:22:28,040 Speaker 1: but like there is a Republican there's a larger Republican 395 00:22:28,080 --> 00:22:31,760 Speaker 1: freak out going on about the midterms, about the polling, 396 00:22:32,000 --> 00:22:36,040 Speaker 1: about inflation, Like what do you sort of I would 397 00:22:36,119 --> 00:22:37,919 Speaker 1: love you to just sort of give me your thoughts 398 00:22:37,960 --> 00:22:40,480 Speaker 1: on this moment and and what you think is happening 399 00:22:40,560 --> 00:22:43,959 Speaker 1: and where you what you're sort of focused on. 400 00:22:44,280 --> 00:22:46,800 Speaker 4: Well, I think if we start with the stakes, the 401 00:22:46,840 --> 00:22:51,000 Speaker 4: stakes I think for Trump are increasingly about legacy, and 402 00:22:51,080 --> 00:22:54,960 Speaker 4: for Republicans they're increasingly about post Trump, and post Trump 403 00:22:55,000 --> 00:22:58,200 Speaker 4: means potentially the last two years of Trump's term. Because 404 00:22:58,200 --> 00:23:00,800 Speaker 4: if Republicans do lose. The House is sort of like 405 00:23:00,840 --> 00:23:03,560 Speaker 4: a gig, a lame duck where he will get nothing, 406 00:23:03,640 --> 00:23:05,880 Speaker 4: nothing done. So the post Trump era, in a sense, 407 00:23:06,000 --> 00:23:11,239 Speaker 4: might start in January. Trump is trying to secure, you know, 408 00:23:11,400 --> 00:23:15,479 Speaker 4: additional land. He's trying to change the structure of the 409 00:23:15,480 --> 00:23:18,359 Speaker 4: White House. The point of what Trump is doing is 410 00:23:18,400 --> 00:23:21,719 Speaker 4: he wants to do irreversible or difficult to reverse stuff 411 00:23:22,040 --> 00:23:26,200 Speaker 4: because he's now thinking about legacy. He knows that executive 412 00:23:26,280 --> 00:23:29,199 Speaker 4: orders he signs can be very quickly reversed, and so 413 00:23:29,240 --> 00:23:31,320 Speaker 4: he's thinking about what can I do that's permanent here, 414 00:23:31,320 --> 00:23:33,560 Speaker 4: And that's the reason for a lot of his motivation. 415 00:23:34,160 --> 00:23:37,840 Speaker 4: Republicans are increasingly contending with the promises on the economy 416 00:23:37,880 --> 00:23:40,800 Speaker 4: he clearly isn't delivering on. Voters are going to hold 417 00:23:40,800 --> 00:23:44,240 Speaker 4: this accountable. When it was Biden, Biden telling everybody the 418 00:23:44,280 --> 00:23:47,000 Speaker 4: economy is awesome didn't work when people didn't feel it. 419 00:23:47,040 --> 00:23:49,639 Speaker 4: And similarly, Trump telling people the economy is awesome when 420 00:23:49,680 --> 00:23:52,679 Speaker 4: people don't feel it isn't going to work. So Republicans 421 00:23:52,680 --> 00:23:54,399 Speaker 4: are in a position that I guess is sort of 422 00:23:54,440 --> 00:23:56,520 Speaker 4: like technically difficult. I don't mean I feel bad for 423 00:23:56,560 --> 00:23:59,240 Speaker 4: them right now, but it's there's sort of a decision 424 00:23:59,280 --> 00:24:02,560 Speaker 4: they have to make. Is the wrath of abandoning Trump? 425 00:24:03,280 --> 00:24:05,960 Speaker 4: And to what degree do they abandon Trump in order 426 00:24:06,000 --> 00:24:10,120 Speaker 4: to save themselves? What's the balance does attracting Trump's attention 427 00:24:10,240 --> 00:24:13,080 Speaker 4: because you say, hey, Trump hasn't delivered on this stuff, 428 00:24:13,359 --> 00:24:16,000 Speaker 4: vote for me anyway because I will deliver. Is that 429 00:24:16,040 --> 00:24:18,680 Speaker 4: going to turn Trump's ire on you in a way 430 00:24:18,720 --> 00:24:22,000 Speaker 4: that could be damaging? So Republicans and Trump are kind 431 00:24:22,000 --> 00:24:25,400 Speaker 4: of into different positions. But the polling data is a disaster, 432 00:24:25,760 --> 00:24:28,080 Speaker 4: certainly for the House. You know, there's talk of the 433 00:24:28,119 --> 00:24:30,560 Speaker 4: Senate being in play. I guess it might be in play, 434 00:24:30,560 --> 00:24:33,000 Speaker 4: but it doesn't seem very likely that Democrats would take 435 00:24:33,040 --> 00:24:35,320 Speaker 4: control of it. But losing the House would be bad 436 00:24:35,400 --> 00:24:37,119 Speaker 4: enough for Republicans. 437 00:24:36,560 --> 00:24:39,200 Speaker 1: Right because if you lose the House, Trump gets impeached, 438 00:24:39,280 --> 00:24:42,640 Speaker 1: and even if you can't be removed, the trials begin 439 00:24:42,720 --> 00:24:46,320 Speaker 1: in the House, and Trump does not like the trials. 440 00:24:46,600 --> 00:24:49,879 Speaker 1: Now that said, I don't I agree, Like I'm always 441 00:24:49,920 --> 00:24:53,879 Speaker 1: skeptical about the Senate because especially with this map, it's 442 00:24:54,000 --> 00:24:58,680 Speaker 1: a heavy map. But if you were ever to have 443 00:24:59,320 --> 00:25:03,200 Speaker 1: a an environment where you could do that, it would 444 00:25:03,200 --> 00:25:08,159 Speaker 1: be now because you've seen such overperformance in those specials, 445 00:25:08,440 --> 00:25:12,960 Speaker 1: and then you have Sharon Brown and Ohio, you have 446 00:25:13,359 --> 00:25:16,719 Speaker 1: you know, like Texas, I'm old enough to remember Beto 447 00:25:16,800 --> 00:25:19,639 Speaker 1: oh Rourke, so you know, there's been a lot of 448 00:25:19,800 --> 00:25:22,119 Speaker 1: you know, just like I'm old enough to remember Sarah 449 00:25:22,160 --> 00:25:25,320 Speaker 1: Gideon and Maine. So there's been a lot of money 450 00:25:25,359 --> 00:25:28,240 Speaker 1: spent on some of those on trying to flip those sentences. 451 00:25:28,600 --> 00:25:31,280 Speaker 1: But it is interesting, like if you look at New 452 00:25:31,359 --> 00:25:34,199 Speaker 1: Jersey and Virginia and those off your elections, it was 453 00:25:34,240 --> 00:25:36,080 Speaker 1: a huge over performance. 454 00:25:36,280 --> 00:25:39,840 Speaker 4: Yeah, the numbers are crazy, and you know, it is 455 00:25:40,040 --> 00:25:44,520 Speaker 4: both true that those numbers represent a huge swing from 456 00:25:44,560 --> 00:25:48,880 Speaker 4: November of twenty four against Trump and also that special 457 00:25:48,880 --> 00:25:52,600 Speaker 4: elections and off your elections don't necessarily map perfectly to 458 00:25:52,680 --> 00:25:55,480 Speaker 4: a midterm. But I think if you're Republicans, you have 459 00:25:55,520 --> 00:25:57,560 Speaker 4: to air on the side of this could be a 460 00:25:57,600 --> 00:25:59,880 Speaker 4: disaster and we've got a dump huge amounts of money 461 00:25:59,880 --> 00:26:00,760 Speaker 4: and resources in. 462 00:26:00,960 --> 00:26:03,399 Speaker 1: Yeah, and I'm so struck by like Munich, the Munich 463 00:26:03,440 --> 00:26:07,600 Speaker 1: Security Conference, because you know, it just happened, and there 464 00:26:07,720 --> 00:26:11,240 Speaker 1: was really like jd Vance did it last year, Marco 465 00:26:11,359 --> 00:26:14,200 Speaker 1: did it this year. There's like this sense that these 466 00:26:14,280 --> 00:26:17,280 Speaker 1: two feel that they're the air of parents to trump Ism. 467 00:26:17,480 --> 00:26:22,440 Speaker 1: And it's great because JD. Vance is absolutely the single 468 00:26:22,600 --> 00:26:25,359 Speaker 1: least talented politician I've ever seen. I mean, do you 469 00:26:25,440 --> 00:26:27,440 Speaker 1: just watch him and you're like, who is this for? 470 00:26:27,880 --> 00:26:31,960 Speaker 4: No, it's remarkable because he is so unlikable. He lacks 471 00:26:32,400 --> 00:26:36,520 Speaker 4: charisma to a degree that is almost difficult, Like you'd 472 00:26:36,520 --> 00:26:39,359 Speaker 4: need an actor to say, I'm going to play the 473 00:26:39,440 --> 00:26:42,919 Speaker 4: least charismatic person you could even dream up. And I 474 00:26:42,960 --> 00:26:45,800 Speaker 4: think you know, it's it's a little early to read 475 00:26:45,840 --> 00:26:48,879 Speaker 4: into Trump not saying, of course I would support JD. 476 00:26:48,960 --> 00:26:50,679 Speaker 4: Because it just is very early. We don't know what 477 00:26:50,760 --> 00:26:52,879 Speaker 4: JD's even going to want to do. But it is 478 00:26:52,880 --> 00:26:56,240 Speaker 4: interesting that Trump keeps saying Marco is very talented. Marco 479 00:26:56,280 --> 00:27:00,000 Speaker 4: and JD. These are both really really talented and talented guys. 480 00:26:59,800 --> 00:27:03,119 Speaker 4: It doesn't seem that it's clear that Trump is ready 481 00:27:03,119 --> 00:27:05,720 Speaker 4: to say JD is the future of MAGA, and it 482 00:27:05,720 --> 00:27:07,760 Speaker 4: does not clear Trump will have that power depending on 483 00:27:07,800 --> 00:27:08,719 Speaker 4: how the next two years ago. 484 00:27:08,920 --> 00:27:11,120 Speaker 1: Well. And it's also like, if you're a person who 485 00:27:11,160 --> 00:27:14,159 Speaker 1: loves to keep power, the minute you endorse someone I 486 00:27:14,200 --> 00:27:17,520 Speaker 1: was thinking about like turning Point USA and the widow 487 00:27:17,560 --> 00:27:21,399 Speaker 1: of Charlie Kirk immediately endorses JD Bans and I was like, 488 00:27:21,600 --> 00:27:24,360 Speaker 1: Charlie Kirk never would have done that, because as soon 489 00:27:24,400 --> 00:27:27,400 Speaker 1: as you endorse, you are tied to that person, whereas 490 00:27:27,520 --> 00:27:31,000 Speaker 1: if you're playing them against each other, you have way 491 00:27:31,119 --> 00:27:34,600 Speaker 1: more leverage. And the truth is we're still miles from 492 00:27:34,680 --> 00:27:38,080 Speaker 1: twenty twenty eight one hundred percent and then just endorse anyone. 493 00:27:38,240 --> 00:27:42,000 Speaker 4: It's interesting because Erica Kirk, if she had waited on 494 00:27:42,080 --> 00:27:45,439 Speaker 4: that number one, would have built interest in the idea 495 00:27:45,480 --> 00:27:50,800 Speaker 4: of courting Turning Point USA for an endorsement, and what 496 00:27:51,040 --> 00:27:53,800 Speaker 4: would have made it sort of more interesting in terms 497 00:27:53,840 --> 00:27:55,960 Speaker 4: of the direction that Turning Point would go, because Turning 498 00:27:55,960 --> 00:27:59,520 Speaker 4: Point was so Maga adjacent. It's whatever Trump says goes, 499 00:28:00,040 --> 00:28:02,199 Speaker 4: and that would have also been an interesting scenario. So 500 00:28:02,440 --> 00:28:05,640 Speaker 4: I think it was a political mistake from Naivete that 501 00:28:05,680 --> 00:28:07,520 Speaker 4: she just said, of course we're working on JD. 502 00:28:08,200 --> 00:28:08,600 Speaker 2: Yeah. 503 00:28:08,640 --> 00:28:11,399 Speaker 1: No, no, totally, and you know it's not expected to 504 00:28:11,400 --> 00:28:13,119 Speaker 1: know that. Souff I do want to talk. I think 505 00:28:13,200 --> 00:28:17,840 Speaker 1: this is relevant. You know, there's this Democratic primary in 506 00:28:18,040 --> 00:28:22,040 Speaker 1: the Senate in Texas. We talked about it, or it 507 00:28:22,080 --> 00:28:24,920 Speaker 1: has gotten a lot of airtime because of the Colbert 508 00:28:25,359 --> 00:28:29,560 Speaker 1: Teller Rico thing. But in the Republican side it is 509 00:28:29,760 --> 00:28:33,280 Speaker 1: batshittery in the most incredible way. Can we just talk 510 00:28:33,320 --> 00:28:37,320 Speaker 1: about it because it's like my favorite kind of candidates. 511 00:28:37,359 --> 00:28:42,000 Speaker 1: We have Cornyn who is relatively speaking, the most normal, 512 00:28:42,520 --> 00:28:45,960 Speaker 1: and then we have my man, Ken Paxton. 513 00:28:47,120 --> 00:28:51,240 Speaker 4: Yeah, I think it's interesting that Trump isn't endorsing, But 514 00:28:51,360 --> 00:28:54,400 Speaker 4: I think there's a very simple explanation as to why, 515 00:28:54,960 --> 00:28:57,800 Speaker 4: which is Trump likes to run up the score of 516 00:28:57,840 --> 00:29:02,040 Speaker 4: his endorsements by picking more, mostly obvious winners. And I 517 00:29:02,160 --> 00:29:05,240 Speaker 4: just think that Trump is being told you should wait 518 00:29:05,280 --> 00:29:06,880 Speaker 4: on this one. You don't want to end up on 519 00:29:06,920 --> 00:29:09,320 Speaker 4: the wrong side of it. You should kind of take 520 00:29:09,360 --> 00:29:13,320 Speaker 4: a breather. And he's praised both Paxton and cornyin over 521 00:29:13,360 --> 00:29:16,360 Speaker 4: the years, So I think it's Trump wanting to figure out, 522 00:29:16,440 --> 00:29:18,560 Speaker 4: how can I make sure that I get credit for 523 00:29:18,600 --> 00:29:19,040 Speaker 4: this one? 524 00:29:19,280 --> 00:29:22,520 Speaker 1: And there's Representative Wellesley Hunt too of Texas, But it 525 00:29:22,560 --> 00:29:24,920 Speaker 1: really is a two man raise. As a Democrat, you 526 00:29:24,920 --> 00:29:26,600 Speaker 1: want Paxton as the nominee. 527 00:29:26,880 --> 00:29:30,120 Speaker 4: You do unless you're convinced that it's going to be 528 00:29:30,160 --> 00:29:32,239 Speaker 4: another one of these Texas is in play. It's in 529 00:29:32,280 --> 00:29:35,320 Speaker 4: play until it isn't and then maybe Paxton is the 530 00:29:35,360 --> 00:29:38,080 Speaker 4: next senator and he's far crazier than Cornyn that that's 531 00:29:38,120 --> 00:29:41,360 Speaker 4: always like a strategy thing. But no, I think Paxton 532 00:29:41,440 --> 00:29:45,000 Speaker 4: is far more cartoonish, and in a debate setting, assuming 533 00:29:45,040 --> 00:29:47,440 Speaker 4: there will be general election debates with whoever is the 534 00:29:47,440 --> 00:29:50,960 Speaker 4: Democratic nominee, Paxton's going to make their candidate look much 535 00:29:50,960 --> 00:29:51,720 Speaker 4: worse for sure. 536 00:29:52,320 --> 00:29:54,680 Speaker 1: Yeah, no, it's a good point. And like the road 537 00:29:54,720 --> 00:29:57,560 Speaker 1: to Trump two point zero is filled with gaming it 538 00:29:57,600 --> 00:30:01,840 Speaker 1: out for the craziest candidate. I certainly remember talking to 539 00:30:01,880 --> 00:30:05,120 Speaker 1: people from Biden world who are like, Nikki Haley cannot 540 00:30:05,120 --> 00:30:09,560 Speaker 1: be the nominee because she'll when and like we'd all 541 00:30:09,600 --> 00:30:11,800 Speaker 1: be a lot better off if Nikki ally we're president 542 00:30:11,920 --> 00:30:12,320 Speaker 1: right now. 543 00:30:12,520 --> 00:30:14,760 Speaker 4: That's absolutely true. It turns out I don't know that 544 00:30:14,800 --> 00:30:17,160 Speaker 4: it mattered that much who the Republican nominee was going 545 00:30:17,200 --> 00:30:18,440 Speaker 4: to be. It didn't seem like it was going to 546 00:30:18,480 --> 00:30:20,000 Speaker 4: go particularly well for Democrats. 547 00:30:20,520 --> 00:30:23,200 Speaker 1: Yeah, David, you're so great. Will you come back. 548 00:30:23,400 --> 00:30:25,280 Speaker 4: I'm glad to come back anytime. Thank you so much 549 00:30:25,280 --> 00:30:25,760 Speaker 4: for having me. 550 00:30:27,600 --> 00:30:33,040 Speaker 1: Raoul Torrez is the Attorney General of New Mexico. Welcome 551 00:30:33,400 --> 00:30:37,840 Speaker 1: to Fast Politics. Attorney General Torrez. 552 00:30:37,760 --> 00:30:39,160 Speaker 2: Mollie, it's good to be with you again. 553 00:30:39,440 --> 00:30:43,200 Speaker 1: You're a blue state. But in the middle of you 554 00:30:43,320 --> 00:30:47,000 Speaker 1: got ice, you got it all happening there. Talk us 555 00:30:47,000 --> 00:30:51,640 Speaker 1: to first this case you're working on with technology and Meta. 556 00:30:52,560 --> 00:30:55,960 Speaker 3: So this is the first state led action against Meta, 557 00:30:56,040 --> 00:31:00,800 Speaker 3: specifically highlighting the danger associated with Facebook and Instagram. I 558 00:31:00,800 --> 00:31:04,280 Speaker 3: think a lot of people are increasingly aware of the 559 00:31:05,080 --> 00:31:08,680 Speaker 3: psychological harm, the addictive nature of some of these products. 560 00:31:08,720 --> 00:31:10,840 Speaker 3: But our case is a little bit different because not 561 00:31:10,880 --> 00:31:13,240 Speaker 3: only do we talk about that, we also really focus 562 00:31:13,320 --> 00:31:17,120 Speaker 3: in on the ways in which the platform actually permits 563 00:31:17,320 --> 00:31:22,040 Speaker 3: and enables sexual predators. I started off my career in 564 00:31:22,120 --> 00:31:25,480 Speaker 3: an Internet crimes prosecutor nearly twenty years ago, and what 565 00:31:25,560 --> 00:31:28,120 Speaker 3: we did was we had to go into the kind 566 00:31:28,120 --> 00:31:30,960 Speaker 3: of the deepest, darkest reaches of the Internet to find 567 00:31:31,200 --> 00:31:34,080 Speaker 3: people who were trading child pornography, people who were soliciting 568 00:31:34,120 --> 00:31:37,360 Speaker 3: people or children for sex. Now all of that behavior 569 00:31:37,400 --> 00:31:40,760 Speaker 3: has migrated into the biggest platforms that most people download 570 00:31:40,800 --> 00:31:43,160 Speaker 3: on their phones, and a lot of adults, frankly and 571 00:31:43,280 --> 00:31:48,920 Speaker 3: parents are unaware that, you know, the social media platforms 572 00:31:48,960 --> 00:31:51,040 Speaker 3: are a place where their kids can be targeted. And 573 00:31:51,080 --> 00:31:54,320 Speaker 3: so our lawsuit really focuses in on that and the 574 00:31:54,360 --> 00:31:56,600 Speaker 3: way in which the company has known about it for 575 00:31:56,680 --> 00:31:59,800 Speaker 3: years and lied about it and deceived consumers about it. 576 00:32:00,160 --> 00:32:04,600 Speaker 1: Of my passion project is the fact that government refuses 577 00:32:04,720 --> 00:32:09,080 Speaker 1: to regulate any kind of technology. Basically they become like 578 00:32:09,400 --> 00:32:12,680 Speaker 1: cigarette companies and oil companies. So this is like low 579 00:32:12,720 --> 00:32:15,680 Speaker 1: hanging fruit when it comes to regulation because it's easier 580 00:32:15,720 --> 00:32:16,640 Speaker 1: to prove harm. 581 00:32:16,840 --> 00:32:20,600 Speaker 3: Right, Yeah, I mean our consumer protection laws, they frankly 582 00:32:20,800 --> 00:32:23,040 Speaker 3: haven't been updated, and they need to be updated. That's 583 00:32:23,080 --> 00:32:24,960 Speaker 3: one of the things that we'll be working on through 584 00:32:25,000 --> 00:32:28,040 Speaker 3: the legislative process is really trying to adapt our consumer 585 00:32:28,120 --> 00:32:32,960 Speaker 3: protection laws to deal with the new behavior that we're 586 00:32:33,000 --> 00:32:35,320 Speaker 3: seeing on the part of a lot of these companies now. 587 00:32:35,320 --> 00:32:37,560 Speaker 3: To a certain extent, to your point, this is not 588 00:32:37,720 --> 00:32:43,440 Speaker 3: that dissimilar from past corporations who have created known dangerous 589 00:32:43,480 --> 00:32:46,640 Speaker 3: and addictive products that they've specifically marketed to kids. That's 590 00:32:46,680 --> 00:32:50,080 Speaker 3: exactly what Big Tobacco did, and it was the actions 591 00:32:50,080 --> 00:32:53,040 Speaker 3: of the Attorney's General you know, thirty or forty years 592 00:32:53,040 --> 00:32:56,520 Speaker 3: ago that really led to wholesale changes in how those 593 00:32:56,560 --> 00:33:00,000 Speaker 3: markets were regulated in those products were sort of you know, 594 00:33:00,120 --> 00:33:04,200 Speaker 3: broad into line. But the reality is is There's another 595 00:33:04,280 --> 00:33:10,320 Speaker 3: important lesson here, specifically for Democrats, where we are locked 596 00:33:10,360 --> 00:33:13,080 Speaker 3: out of power in Congress. We clearly have the Trump 597 00:33:13,120 --> 00:33:17,240 Speaker 3: administration aligning itself with big tech, aligning itself with the 598 00:33:17,280 --> 00:33:21,959 Speaker 3: billionaires like Zuckerberg and Bezos and others, and because of that, 599 00:33:22,240 --> 00:33:25,920 Speaker 3: a lot of the instruments of enforcement and accountability are 600 00:33:25,920 --> 00:33:28,160 Speaker 3: off the table at the federal level. It's time for 601 00:33:28,280 --> 00:33:32,120 Speaker 3: us to rediscover this notion that the states can and 602 00:33:32,240 --> 00:33:35,400 Speaker 3: do have enormous power when it comes to trying to 603 00:33:35,440 --> 00:33:37,880 Speaker 3: protect our citizens. We need to update the law and 604 00:33:37,920 --> 00:33:40,680 Speaker 3: be a lot more aggressive at pushing back against this 605 00:33:40,800 --> 00:33:45,920 Speaker 3: kind of misconduct. Sexual predators, sexual exploitation of kids, the 606 00:33:46,160 --> 00:33:50,440 Speaker 3: psychological harm to kids is an obvious thing for us 607 00:33:50,520 --> 00:33:53,040 Speaker 3: to try and step in and stop, but there is 608 00:33:53,080 --> 00:33:55,040 Speaker 3: a lot of other behavior that we have to be 609 00:33:55,120 --> 00:33:59,040 Speaker 3: really mindful of, and I think empowering state level action 610 00:33:59,240 --> 00:34:02,760 Speaker 3: and state level enforcement is a good way to balance 611 00:34:02,800 --> 00:34:06,080 Speaker 3: out the needs and interests of the party who is 612 00:34:06,360 --> 00:34:09,080 Speaker 3: currently struggling to find its footing at the national level. 613 00:34:09,080 --> 00:34:10,719 Speaker 3: There's still a lot of work that we're trying to 614 00:34:10,719 --> 00:34:12,320 Speaker 3: get done at the state level, and we hope we 615 00:34:12,360 --> 00:34:14,160 Speaker 3: can get some people to pay more attention to that. 616 00:34:14,520 --> 00:34:19,000 Speaker 1: So AI falls into this category too. Talk us through that. 617 00:34:19,280 --> 00:34:23,880 Speaker 3: Well, so artificial intelligence obviously is the arms race is 618 00:34:23,920 --> 00:34:27,359 Speaker 3: on right, and Meta is a big player in that. 619 00:34:27,560 --> 00:34:31,239 Speaker 3: And some of the same groups and individuals and companies 620 00:34:31,280 --> 00:34:36,720 Speaker 3: who have mishandled and created dangerous products in the social 621 00:34:36,760 --> 00:34:40,640 Speaker 3: media landscape, well they're now at the forefront of artificial intelligence. 622 00:34:40,680 --> 00:34:42,520 Speaker 3: And the concern that I have is that we will 623 00:34:42,560 --> 00:34:47,080 Speaker 3: be making progress to try and deal with and mitigate 624 00:34:47,239 --> 00:34:50,439 Speaker 3: the harms that you know, we've seen in the last 625 00:34:50,440 --> 00:34:53,400 Speaker 3: ten or fifteen years without thinking, you know, five or 626 00:34:53,400 --> 00:34:57,360 Speaker 3: ten years down the road, and empowering the same people 627 00:34:57,520 --> 00:35:04,160 Speaker 3: like Zuckerberg to create the digital ecosystem that will enable 628 00:35:04,680 --> 00:35:08,920 Speaker 3: AI systems to develop without necessary guardrails. And one of 629 00:35:08,920 --> 00:35:12,400 Speaker 3: the things that came out yesterday is is some very 630 00:35:12,440 --> 00:35:17,640 Speaker 3: disturbing information about the failure rate that the company is 631 00:35:17,680 --> 00:35:20,920 Speaker 3: seeing in its own AI chat bots nearly seventy percent 632 00:35:20,920 --> 00:35:23,960 Speaker 3: of the time. A RED team that was working on 633 00:35:24,560 --> 00:35:29,320 Speaker 3: testing those products found that it failed to protect users 634 00:35:29,360 --> 00:35:33,800 Speaker 3: from sexual exploitation. There is some debate right now about 635 00:35:33,840 --> 00:35:36,919 Speaker 3: what version of the AI chat bots were pushed into 636 00:35:36,960 --> 00:35:40,279 Speaker 3: the marketplace, but the bottom line is the same move 637 00:35:40,360 --> 00:35:43,759 Speaker 3: fast and break things ethos that has been driving these 638 00:35:43,800 --> 00:35:49,600 Speaker 3: guys for decades now is really what's underpinning AI and 639 00:35:50,040 --> 00:35:52,759 Speaker 3: Congress is sort of locked in place. The President has 640 00:35:52,760 --> 00:35:56,080 Speaker 3: been very clear at trying to preempt state action. That's 641 00:35:56,080 --> 00:35:59,040 Speaker 3: why he issued that executive order. What they're trying to 642 00:35:59,080 --> 00:36:01,640 Speaker 3: do is to not only keep Congress in line, but 643 00:36:01,719 --> 00:36:03,520 Speaker 3: keep the states in line at the same time. And 644 00:36:03,680 --> 00:36:05,719 Speaker 3: there needs to be a lot more attention paid to 645 00:36:06,400 --> 00:36:08,760 Speaker 3: the work that can be done at our level of government. 646 00:36:08,960 --> 00:36:11,560 Speaker 1: When you go to New Mexico, you guys have humong 647 00:36:11,680 --> 00:36:16,560 Speaker 1: us data centers already huge. They take up a ton 648 00:36:16,640 --> 00:36:19,879 Speaker 1: of water, they take up a ton of electricity. They're 649 00:36:19,920 --> 00:36:25,040 Speaker 1: completely unregulated. First of all, in New Mexico, do residents 650 00:36:25,080 --> 00:36:29,640 Speaker 1: pay for data centers, water and electricity? And if so, 651 00:36:29,920 --> 00:36:32,000 Speaker 1: can you stop it? And if not, how if you 652 00:36:32,080 --> 00:36:32,640 Speaker 1: prevented it? 653 00:36:33,080 --> 00:36:33,319 Speaker 2: Yeah. 654 00:36:33,360 --> 00:36:35,879 Speaker 3: Well, one of the things that we've been working on 655 00:36:36,239 --> 00:36:39,600 Speaker 3: is an update to the Public Utility Act because, again, 656 00:36:39,840 --> 00:36:42,879 Speaker 3: a little bit like these consumer protection laws, they were 657 00:36:42,920 --> 00:36:47,319 Speaker 3: built at a time where this new emerging technology was 658 00:36:47,360 --> 00:36:51,480 Speaker 3: just not in anybody's worldview. The explosive growth in the 659 00:36:51,520 --> 00:36:55,480 Speaker 3: demand for power generation, for the use of water wasn't 660 00:36:55,520 --> 00:36:58,560 Speaker 3: something that was top of mind for anybody when they 661 00:36:58,560 --> 00:37:02,880 Speaker 3: were building and construct these laws. So we need to 662 00:37:03,000 --> 00:37:07,080 Speaker 3: update our Public Utility Act to make sure that that 663 00:37:07,280 --> 00:37:11,800 Speaker 3: residential unit users, small businesses, low income people, working people 664 00:37:12,160 --> 00:37:13,600 Speaker 3: don't subsidize big tech. 665 00:37:13,719 --> 00:37:14,200 Speaker 2: Right that. 666 00:37:14,680 --> 00:37:17,680 Speaker 3: We have seen that in places like Virginia. I know 667 00:37:17,760 --> 00:37:22,480 Speaker 3: it was a big political part of the recent elections 668 00:37:22,520 --> 00:37:26,839 Speaker 3: in New Jersey and in other places. New Mexico is 669 00:37:27,600 --> 00:37:30,680 Speaker 3: just now bringing on some of these data centers online. 670 00:37:30,800 --> 00:37:34,120 Speaker 3: It's a little bit different because we've got a microgrid 671 00:37:34,239 --> 00:37:38,040 Speaker 3: bill that right now sort of empowers them to generate 672 00:37:38,080 --> 00:37:42,000 Speaker 3: their own electricity and keep it on site. But there 673 00:37:42,160 --> 00:37:45,920 Speaker 3: is now real concerns about whether or not that is 674 00:37:45,960 --> 00:37:49,640 Speaker 3: in alignment with the climate mandates that we've got in 675 00:37:49,640 --> 00:37:52,480 Speaker 3: the renewable portfolio that we've established in the States. So 676 00:37:52,840 --> 00:37:55,239 Speaker 3: all of this is to say we need to have 677 00:37:55,360 --> 00:37:59,560 Speaker 3: a lot more attention paid to the costs associated with 678 00:37:59,640 --> 00:38:02,840 Speaker 3: this techechnology. I think people still want to keep the 679 00:38:03,000 --> 00:38:08,400 Speaker 3: door open to responsible economic development and ethical business practices, 680 00:38:08,440 --> 00:38:10,880 Speaker 3: but there have to be protections put in place, and 681 00:38:10,960 --> 00:38:14,640 Speaker 3: at this point there is, and I think people recognize this, 682 00:38:14,960 --> 00:38:17,520 Speaker 3: there's not a lot of trust when people in these 683 00:38:17,560 --> 00:38:20,480 Speaker 3: companies say, oh, believe us. We're not going to shift 684 00:38:20,480 --> 00:38:22,680 Speaker 3: these costs onto other people. We're not going to make 685 00:38:22,760 --> 00:38:25,440 Speaker 3: other people bear the burden of these things. No one 686 00:38:25,719 --> 00:38:27,680 Speaker 3: is going to take that at face value. And we 687 00:38:27,800 --> 00:38:31,160 Speaker 3: need to have laws in place and enforcement mechanisms in 688 00:38:31,200 --> 00:38:34,800 Speaker 3: place that really make sure that the interests of everyday 689 00:38:34,840 --> 00:38:37,280 Speaker 3: people are secured first and foremost. 690 00:38:37,640 --> 00:38:42,000 Speaker 1: So New Mexico has been in the news. Yeah, I'm 691 00:38:42,040 --> 00:38:44,920 Speaker 1: sorry to tell you, and part of it is you 692 00:38:44,960 --> 00:38:50,839 Speaker 1: guys approved this comprehensive probe of Epstein's Araro ranch. It 693 00:38:50,960 --> 00:38:54,880 Speaker 1: was sold, It's in the state legislature now. I'm actually 694 00:38:54,920 --> 00:38:58,319 Speaker 1: pretty impressed as the state legislature has passed us. It 695 00:38:58,360 --> 00:39:01,799 Speaker 1: doesn't seem like anything I quite understand. How does that 696 00:39:01,920 --> 00:39:04,319 Speaker 1: work and what kind of power does the state have 697 00:39:04,440 --> 00:39:04,920 Speaker 1: to do that. 698 00:39:05,280 --> 00:39:08,759 Speaker 3: So they've established this truth Commission to get to the 699 00:39:08,760 --> 00:39:12,080 Speaker 3: bottom of what was going on at Zoro Ranch. We'll 700 00:39:12,120 --> 00:39:17,520 Speaker 3: be working with them and making sure that we're communicating 701 00:39:17,560 --> 00:39:20,759 Speaker 3: about the different investigations and efforts that are underway. I 702 00:39:20,800 --> 00:39:22,600 Speaker 3: will tell you that I come at this as as 703 00:39:22,600 --> 00:39:25,799 Speaker 3: a career prosecutor, and so I am faced with the 704 00:39:25,840 --> 00:39:31,680 Speaker 3: possibility of effectively establishing and recreating an investigation into something 705 00:39:31,719 --> 00:39:34,880 Speaker 3: that goes back two decades, right, which means a loss 706 00:39:34,920 --> 00:39:38,560 Speaker 3: of witness testimony, the destruction of physical evidence, and all 707 00:39:38,600 --> 00:39:41,880 Speaker 3: of those other things. So it's going to be very difficult, frankly, 708 00:39:41,960 --> 00:39:45,279 Speaker 3: for our investigators and prosecutors to be able to put 709 00:39:45,280 --> 00:39:48,920 Speaker 3: together something that may result in a case that can 710 00:39:48,960 --> 00:39:53,040 Speaker 3: be presented. Leaving aside obviously Jeffrey Epstein, but anyone else 711 00:39:53,040 --> 00:39:57,719 Speaker 3: who was involved in trafficking at the ranch. The thing 712 00:39:57,760 --> 00:40:00,239 Speaker 3: that is going to be also very difficult is is 713 00:40:00,360 --> 00:40:05,040 Speaker 3: parsing real information and leads and real evidence from all 714 00:40:05,080 --> 00:40:07,560 Speaker 3: the conspiracy theories and all of the other stuff that 715 00:40:07,640 --> 00:40:12,160 Speaker 3: comes our way. So we are in preliminary talks with 716 00:40:12,640 --> 00:40:15,680 Speaker 3: folks to see if we can get direct access to 717 00:40:15,719 --> 00:40:18,600 Speaker 3: the ranch. Early indications are that the new owners of 718 00:40:18,600 --> 00:40:20,920 Speaker 3: the ranch are willing to cooperate with law enforcement. 719 00:40:20,960 --> 00:40:21,680 Speaker 2: That's a good thing. 720 00:40:21,920 --> 00:40:24,600 Speaker 3: We'll do what we can. But this is, you know, 721 00:40:24,640 --> 00:40:28,360 Speaker 3: I want to set expectations at the appropriate level, which 722 00:40:28,400 --> 00:40:31,000 Speaker 3: is what we're able to find at this late date 723 00:40:31,080 --> 00:40:33,680 Speaker 3: and who we're able to locate and get testimony from 724 00:40:33,760 --> 00:40:34,799 Speaker 3: is going to be difficult. 725 00:40:34,920 --> 00:40:37,439 Speaker 1: It is strange to me that there was a lot 726 00:40:37,480 --> 00:40:39,640 Speaker 1: of like leads that were never followed. 727 00:40:40,040 --> 00:40:42,800 Speaker 3: Yeah, I mean, I can tell you that I'm disappointed. 728 00:40:43,000 --> 00:40:46,760 Speaker 3: Obviously I wasn't in the position, so I can't really 729 00:40:46,760 --> 00:40:49,160 Speaker 3: speculate as to why. I do know, there was some 730 00:40:49,200 --> 00:40:53,719 Speaker 3: communication at least in twenty nineteen between this office and 731 00:40:53,760 --> 00:40:56,480 Speaker 3: the Southern District of New York, the US Attorney's office there, 732 00:40:56,800 --> 00:40:59,600 Speaker 3: that effectively said, you know, pause what you're doing. The 733 00:40:59,640 --> 00:41:02,560 Speaker 3: federal government's going to take the lead on this investigation. 734 00:41:02,680 --> 00:41:06,280 Speaker 3: And so it's my understanding that back in twenty nineteen 735 00:41:06,320 --> 00:41:10,160 Speaker 3: at least this agency responded to that request from the 736 00:41:10,200 --> 00:41:12,200 Speaker 3: federal government which said, you know, we're going to take 737 00:41:12,239 --> 00:41:15,799 Speaker 3: the lead. Now. Why more wasn't done in the ten 738 00:41:15,920 --> 00:41:18,800 Speaker 3: years before that, I frankly don't know. I don't know 739 00:41:18,840 --> 00:41:21,359 Speaker 3: what kind of information they had or evidence that they had. 740 00:41:21,560 --> 00:41:24,840 Speaker 3: At this point, what we're trying to do is follow 741 00:41:24,920 --> 00:41:28,879 Speaker 3: every credible lead, speak to those survivors and witnesses who 742 00:41:28,880 --> 00:41:32,360 Speaker 3: are still willing and able to speak to us about 743 00:41:32,400 --> 00:41:36,600 Speaker 3: what transpired there, and do a thorough investigation, but one 744 00:41:36,640 --> 00:41:39,960 Speaker 3: that is obviously limited by the passage of time and 745 00:41:40,000 --> 00:41:42,919 Speaker 3: the loss of evidence. And so the only other thing 746 00:41:43,000 --> 00:41:46,839 Speaker 3: that I would flag for people is they are right 747 00:41:46,880 --> 00:41:50,719 Speaker 3: to be outraged by this criminal misconduct. They are right 748 00:41:50,760 --> 00:41:53,720 Speaker 3: to be shocked by the revelations in the Epstein files. 749 00:41:54,000 --> 00:41:58,000 Speaker 3: I just I hope people recognize that we have human 750 00:41:58,040 --> 00:42:01,600 Speaker 3: trafficking cases right now, right that are being perpetrated by 751 00:42:01,640 --> 00:42:04,239 Speaker 3: people that are not famous, that are not connected to 752 00:42:04,239 --> 00:42:07,319 Speaker 3: the White House. And part of my obligation is to 753 00:42:07,440 --> 00:42:11,160 Speaker 3: give those cases and those victims as much time and 754 00:42:11,239 --> 00:42:14,319 Speaker 3: its tension as we give to others. And so I 755 00:42:14,440 --> 00:42:17,920 Speaker 3: just hope that this interest in stopping human trafficking and 756 00:42:17,960 --> 00:42:21,960 Speaker 3: the sexual abuse of young girls and vulnerable people doesn't 757 00:42:22,000 --> 00:42:27,560 Speaker 3: disappear when this political firestorm disappears, because we have agents 758 00:42:27,560 --> 00:42:30,239 Speaker 3: and prosecutors that do this work all the time, and 759 00:42:30,680 --> 00:42:33,400 Speaker 3: they could certainly use more resources and more support and 760 00:42:33,480 --> 00:42:36,520 Speaker 3: more awareness in the public about this kind of behavior, 761 00:42:36,560 --> 00:42:40,080 Speaker 3: because it certainly didn't stop with Jeffrey Epstein. It's an 762 00:42:40,120 --> 00:42:42,759 Speaker 3: ongoing problem, it's an international problem. We really need to 763 00:42:42,760 --> 00:42:43,680 Speaker 3: pay attention to it. 764 00:42:43,920 --> 00:42:47,160 Speaker 1: Yeah, you know, it's funny because I comment this in 765 00:42:47,200 --> 00:42:50,239 Speaker 1: a different way, which is that we have come from 766 00:42:50,239 --> 00:42:53,680 Speaker 1: a culture where people just don't really give a fuck 767 00:42:53,880 --> 00:42:58,080 Speaker 1: about women and girls period paragraphs. So if this is 768 00:42:58,120 --> 00:43:01,920 Speaker 1: a case where for whatever we in people are interested, 769 00:43:02,400 --> 00:43:05,800 Speaker 1: he probably will be the largest sex trafficker in American history. 770 00:43:05,880 --> 00:43:08,920 Speaker 1: So just by sheer scale, you know, more than a 771 00:43:09,000 --> 00:43:12,120 Speaker 1: thousand women, and you think about, like so much of 772 00:43:12,320 --> 00:43:16,560 Speaker 1: the victims we see in regular everyday life tend to 773 00:43:16,560 --> 00:43:21,280 Speaker 1: be it's family members. It's often a sort of different calculus, 774 00:43:21,480 --> 00:43:25,439 Speaker 1: and so I almost feel like any attention, any sea 775 00:43:25,640 --> 00:43:29,279 Speaker 1: change is important. So even that some people are coming 776 00:43:29,320 --> 00:43:31,480 Speaker 1: to this from a partisan angle, or they're coming to 777 00:43:31,520 --> 00:43:35,480 Speaker 1: it because they like the QAnon like backstory, that if 778 00:43:35,480 --> 00:43:39,439 Speaker 1: you get people at least rooting for these women, it's 779 00:43:39,560 --> 00:43:42,080 Speaker 1: in itself a big change for the culture. 780 00:43:42,520 --> 00:43:45,400 Speaker 3: No, it's that's and that's my point is is if 781 00:43:45,440 --> 00:43:48,680 Speaker 3: people were motivated to focus on this for other reasons, 782 00:43:48,800 --> 00:43:50,920 Speaker 3: I just hope that they stay engaged and focus on it. 783 00:43:50,960 --> 00:43:53,080 Speaker 3: We had a case just last week in a small 784 00:43:53,120 --> 00:43:57,759 Speaker 3: town in New Mexico where a father was trafficking his 785 00:43:57,920 --> 00:44:01,080 Speaker 3: daughters as some as young as four and five, for drugs. 786 00:44:01,400 --> 00:44:01,560 Speaker 1: Right. 787 00:44:01,719 --> 00:44:04,879 Speaker 3: He was trafficking his girls to finance his drug habit. 788 00:44:05,080 --> 00:44:08,960 Speaker 3: That happens a lot. That happens all over America, and 789 00:44:09,080 --> 00:44:13,120 Speaker 3: it happens in ways that frankly are unseen by people 790 00:44:13,120 --> 00:44:15,840 Speaker 3: in their communities. They often think about that as something 791 00:44:15,880 --> 00:44:19,960 Speaker 3: that happens right on Jeffrey Epstein's Island or at Zoro Ranch, 792 00:44:20,080 --> 00:44:23,480 Speaker 3: or in these places that are way off in parts 793 00:44:23,560 --> 00:44:25,480 Speaker 3: of the world that they don't know anything about. And 794 00:44:25,560 --> 00:44:27,920 Speaker 3: what I hope this case does is open their eyes 795 00:44:27,920 --> 00:44:30,680 Speaker 3: to the fact that this is happening around them everywhere 796 00:44:30,719 --> 00:44:34,640 Speaker 3: all the time, and frontline law enforcement could really use 797 00:44:34,640 --> 00:44:37,600 Speaker 3: a lot more help and support and trying to educate people, 798 00:44:37,640 --> 00:44:39,959 Speaker 3: but also getting getting ahead of these things. 799 00:44:40,239 --> 00:44:44,760 Speaker 1: I wonder if we could talk about ICE, because ICE 800 00:44:45,200 --> 00:44:48,719 Speaker 1: was not in New Mexico, and then it was and 801 00:44:48,760 --> 00:44:52,319 Speaker 1: now it is, and I hear that like there's a 802 00:44:52,600 --> 00:44:56,680 Speaker 1: lot of engagement talk us through what ICE is doing 803 00:44:56,719 --> 00:44:59,360 Speaker 1: in New Mexico and what it looks like and have 804 00:44:59,520 --> 00:45:00,520 Speaker 1: disrupted of it is. 805 00:45:00,840 --> 00:45:04,719 Speaker 3: Well, look, I will say this, I'm a former federal prosecutor, 806 00:45:04,719 --> 00:45:07,440 Speaker 3: so I have sort of a different perspective on it. 807 00:45:07,520 --> 00:45:09,560 Speaker 3: When I would start by saying that ICE has been 808 00:45:09,600 --> 00:45:12,160 Speaker 3: operating here for a long long time. Right, They've been 809 00:45:12,160 --> 00:45:16,840 Speaker 3: doing investigations and removals, deportation proceedings and enforcement for a 810 00:45:16,960 --> 00:45:23,200 Speaker 3: very long time. Obviously, the brutal and inexcusable tactics that 811 00:45:23,239 --> 00:45:26,320 Speaker 3: we've seen by the Trump administration all over the country 812 00:45:26,440 --> 00:45:30,680 Speaker 3: and obviously in Minnesota has been absolutely horrific. Thankfully, we 813 00:45:30,800 --> 00:45:37,200 Speaker 3: have been spared from that kind of surge in enforcement operations. 814 00:45:37,360 --> 00:45:40,960 Speaker 3: But we're you know, we're prepared as a Blue States, 815 00:45:41,040 --> 00:45:44,680 Speaker 3: as a community that you know, resists a lot of 816 00:45:44,680 --> 00:45:48,440 Speaker 3: what is happening from the Trump administration. We're prepared for 817 00:45:48,520 --> 00:45:51,520 Speaker 3: the possibility that they come here and engage in those 818 00:45:51,560 --> 00:45:54,880 Speaker 3: tactics here. And I'm obviously in a position to push back. 819 00:45:54,920 --> 00:45:58,040 Speaker 3: As you know, my colleagues around the country have also, 820 00:45:58,120 --> 00:46:02,000 Speaker 3: Keith Ellison, Rob Bonta, Dan Rayfield in Oregon and others 821 00:46:02,040 --> 00:46:03,960 Speaker 3: have had to push back, and we'll do that. We'll 822 00:46:04,000 --> 00:46:06,160 Speaker 3: stand up and try and protect our people the best 823 00:46:06,200 --> 00:46:09,200 Speaker 3: we can, inform them of the rights, make sure people 824 00:46:09,320 --> 00:46:14,000 Speaker 3: understand the limits of federal power. We have thankfully been 825 00:46:14,040 --> 00:46:16,319 Speaker 3: spared the worst of it. And my hope is that 826 00:46:16,560 --> 00:46:20,879 Speaker 3: the Trump administration itself has learned that most people do 827 00:46:20,920 --> 00:46:24,080 Speaker 3: not support that kind of brutality and that kind of 828 00:46:24,120 --> 00:46:29,120 Speaker 3: unconstitutional and lawless behavior on American streets. So hopefully what 829 00:46:29,120 --> 00:46:34,319 Speaker 3: we've seen in Tom Homan's retreat or retrenchment in Minnesota 830 00:46:34,480 --> 00:46:38,960 Speaker 3: is marks the shift in the administration towards a sensible 831 00:46:38,960 --> 00:46:41,200 Speaker 3: and targeted policy. But we have to wait and see. 832 00:46:41,400 --> 00:46:45,120 Speaker 1: Do you think that there's any way to sort of 833 00:46:45,200 --> 00:46:48,240 Speaker 1: like put any kind of guardrails at the state level, 834 00:46:48,480 --> 00:46:53,160 Speaker 1: Like I've talked to Illinois people in the Illinois state ledge, like, 835 00:46:53,239 --> 00:46:56,520 Speaker 1: are there laws you can you know, pass that give 836 00:46:56,760 --> 00:47:00,680 Speaker 1: sort of like limit their immunity or make it so 837 00:47:00,760 --> 00:47:02,839 Speaker 1: there's more civil protections. 838 00:47:03,360 --> 00:47:07,320 Speaker 3: Yeah, I mean my view is, for example, takes supremacy clause, 839 00:47:07,360 --> 00:47:10,520 Speaker 3: immunity and some of the other qualified immunity doctrines that 840 00:47:10,640 --> 00:47:14,320 Speaker 3: shield them both to a limited extent from certain types 841 00:47:14,320 --> 00:47:17,600 Speaker 3: of lawsuits or make it more difficult to prosecute them 842 00:47:17,600 --> 00:47:20,480 Speaker 3: for violations of state law. A lot of that is 843 00:47:20,480 --> 00:47:24,400 Speaker 3: built into federal precedent, Supreme Court precedent, and the like, 844 00:47:24,440 --> 00:47:27,800 Speaker 3: and so states don't have as much direct authority there 845 00:47:28,080 --> 00:47:32,200 Speaker 3: in terms of setting the standards of conduct and behavior 846 00:47:32,400 --> 00:47:35,719 Speaker 3: or also limiting the extent to which they can claim immunity. 847 00:47:35,920 --> 00:47:41,359 Speaker 3: You know, obviously JD. Vance is unfamiliar with criminal law 848 00:47:41,400 --> 00:47:44,000 Speaker 3: on the basics of constitution. When he comes out and 849 00:47:44,040 --> 00:47:47,160 Speaker 3: says that, you know, there's absolute immunity. That's not true, 850 00:47:47,200 --> 00:47:50,160 Speaker 3: that's never been true in this country. It is more 851 00:47:50,560 --> 00:47:55,120 Speaker 3: procedurally more complex to bring a case against a federal 852 00:47:55,120 --> 00:47:57,640 Speaker 3: agent for violating state law. But it can be done, 853 00:47:57,800 --> 00:48:01,360 Speaker 3: and certainly something that I would imagine will be looked 854 00:48:01,400 --> 00:48:05,120 Speaker 3: at in terms of those places where they've had fatalities 855 00:48:05,160 --> 00:48:09,160 Speaker 3: and they've had these really abusive tactics. I think it 856 00:48:09,200 --> 00:48:14,040 Speaker 3: is Congress, frankly, his overdue in regulating a lot of 857 00:48:14,080 --> 00:48:16,959 Speaker 3: this right when and again, I think we've talked about 858 00:48:17,000 --> 00:48:20,439 Speaker 3: this before on your show that when Joe Biden came in, 859 00:48:20,920 --> 00:48:24,960 Speaker 3: there was this assumption and a very dangerous assumption, that 860 00:48:25,040 --> 00:48:27,400 Speaker 3: Donald Trump was a one off, it was an aberration 861 00:48:27,480 --> 00:48:29,960 Speaker 3: and he wasn't going to come back. What happened is 862 00:48:30,120 --> 00:48:33,719 Speaker 3: there were a lot of changes to federal law that 863 00:48:33,760 --> 00:48:36,520 Speaker 3: could have happened, that should have happened, you know, getting 864 00:48:36,560 --> 00:48:40,200 Speaker 3: rid of the Alien Enemies Act, changing the way in 865 00:48:40,239 --> 00:48:43,680 Speaker 3: which the Insurrection Act operates, limiting the ability the president 866 00:48:43,719 --> 00:48:48,880 Speaker 3: to deploy these resources, conditioning federal funding on certain codes 867 00:48:48,920 --> 00:48:51,960 Speaker 3: of conduct and behavior and training. And none of that 868 00:48:52,160 --> 00:48:56,200 Speaker 3: was done because we just moved on. I hope whatever 869 00:48:56,280 --> 00:48:59,879 Speaker 3: Democrat finds themselves in the oval office after the next 870 00:49:00,040 --> 00:49:03,799 Speaker 3: residential election, doesn't make that mistake again and understands that 871 00:49:03,880 --> 00:49:05,640 Speaker 3: there is real work that needs to be done at 872 00:49:05,680 --> 00:49:09,480 Speaker 3: the federal level. Unfortunately, I'm not sure that a lot 873 00:49:09,520 --> 00:49:11,839 Speaker 3: of that can be effectively done at the state level. 874 00:49:11,880 --> 00:49:12,080 Speaker 2: Right. 875 00:49:12,160 --> 00:49:14,520 Speaker 3: California tried to do some of that, it was struck 876 00:49:14,560 --> 00:49:16,960 Speaker 3: down by a federal judge, and I think you're going 877 00:49:17,040 --> 00:49:18,960 Speaker 3: to see more and more of that now. I'm not 878 00:49:19,000 --> 00:49:21,360 Speaker 3: saying it's not right for states to try and push 879 00:49:21,400 --> 00:49:24,040 Speaker 3: back where they can. One of the places I think 880 00:49:24,160 --> 00:49:27,120 Speaker 3: states are going to have a very strong case is 881 00:49:27,120 --> 00:49:30,600 Speaker 3: if there's any encroachment on their ability to manage elections. Right, 882 00:49:30,760 --> 00:49:33,520 Speaker 3: that is built into the Constitution, and there is a 883 00:49:33,520 --> 00:49:37,680 Speaker 3: lot of established case law for us to dictate how 884 00:49:38,000 --> 00:49:42,640 Speaker 3: elections are conducted. But in terms of policing federal law 885 00:49:42,719 --> 00:49:46,239 Speaker 3: enforcement agents with state laws, that's a very challenging and 886 00:49:46,280 --> 00:49:47,640 Speaker 3: difficult thing to try and do. 887 00:49:48,000 --> 00:49:51,640 Speaker 1: Thank you, thank you, thank you, General torrez Malli. 888 00:49:51,640 --> 00:49:52,799 Speaker 3: It's always great to talk to you. 889 00:49:54,880 --> 00:49:56,600 Speaker 2: No moments. 890 00:49:57,680 --> 00:50:03,040 Speaker 1: We have exciting news over at our YouTube channel. The 891 00:50:03,280 --> 00:50:07,760 Speaker 1: third episode is out now from our series Project twenty 892 00:50:07,800 --> 00:50:12,160 Speaker 1: twenty nine, Reimagining, where we examine what went wrong with 893 00:50:12,280 --> 00:50:15,600 Speaker 1: democrats approach to policy and how we can correct it 894 00:50:15,719 --> 00:50:21,760 Speaker 1: and deliver changes for the American people. The first episodes 895 00:50:22,200 --> 00:50:28,200 Speaker 1: dove into campaign finance, reform, antitrust, and regulation. Our newest 896 00:50:28,360 --> 00:50:32,920 Speaker 1: episode is on how we solidify reproductive rights for women. 897 00:50:33,200 --> 00:50:36,319 Speaker 1: We talk to the smartest names in the field, like 898 00:50:36,400 --> 00:50:40,920 Speaker 1: Abortion every Day is Jessica Valenti, the Center for Reproductive Rights, 899 00:50:41,120 --> 00:50:46,279 Speaker 1: Nancy Northup UCLA is oh and Mary Ziegler, and the 900 00:50:46,280 --> 00:50:51,439 Speaker 1: gout Macher Institute's Kelly Badden. Republicans were prepared for when 901 00:50:51,480 --> 00:50:55,080 Speaker 1: they got the levers of power. Democrats need to be two. 902 00:50:55,520 --> 00:50:59,520 Speaker 1: So please head over to YouTube and search Molly John 903 00:50:59,600 --> 00:51:03,160 Speaker 1: Fast Project twenty twenty nine or go to the Fast 904 00:51:03,200 --> 00:51:06,839 Speaker 1: Politics YouTube channel page and you'll find it there. Help 905 00:51:06,960 --> 00:51:10,960 Speaker 1: us spread the word. That's it for this episode of 906 00:51:11,080 --> 00:51:17,839 Speaker 1: Fast Politics. Tune in every Monday, Wednesday, Thursday and Saturday 907 00:51:18,000 --> 00:51:21,360 Speaker 1: to hear the best minds and politics make sense of 908 00:51:21,640 --> 00:51:25,879 Speaker 1: all this chaos. If you enjoy this podcast, please send 909 00:51:25,920 --> 00:51:29,560 Speaker 1: it to a friend and keep the conversation going. Thanks 910 00:51:29,600 --> 00:51:30,280 Speaker 1: for listening.