1 00:00:02,960 --> 00:00:05,559 Speaker 1: Hey, yeah, as welcome back to normally the show with 2 00:00:05,680 --> 00:00:08,680 Speaker 1: normalist takes for when the news gets weird. I am 3 00:00:08,680 --> 00:00:10,160 Speaker 1: Mary Catherine Ham. 4 00:00:09,960 --> 00:00:13,800 Speaker 2: And I'm Carol markoitz him. Mary Catherine, how's it going. 5 00:00:14,440 --> 00:00:16,639 Speaker 1: It's all right. It's still freezing here. I know you 6 00:00:16,680 --> 00:00:19,360 Speaker 1: don't have to deal with this, but I'm actually going 7 00:00:19,400 --> 00:00:21,480 Speaker 1: to escape to Florida next week, so I will see you, 8 00:00:21,760 --> 00:00:23,360 Speaker 1: I know, a brief time in person. 9 00:00:23,440 --> 00:00:25,599 Speaker 2: We're excited about that. And I hope the weather. You know, 10 00:00:25,760 --> 00:00:27,840 Speaker 2: it's like seventy one today. I hope it warms up 11 00:00:27,880 --> 00:00:31,560 Speaker 2: for you, because this is clearly unacceptable, unacceptable. 12 00:00:31,560 --> 00:00:34,680 Speaker 1: I'll be so cold when I get there, Oh my gosh. Yes, 13 00:00:34,800 --> 00:00:35,960 Speaker 1: I'll survive. 14 00:00:36,000 --> 00:00:39,280 Speaker 2: I hope. So I really do bring a sweater. In 15 00:00:39,320 --> 00:00:42,199 Speaker 2: any case, I'm wearing a sweater for for those watching it. 16 00:00:43,560 --> 00:00:46,879 Speaker 2: So you know, we talked about the sixty minutes episode 17 00:00:47,240 --> 00:00:50,720 Speaker 2: last show, and yet there was more to say about 18 00:00:50,720 --> 00:00:53,159 Speaker 2: that episode that we didn't cover that I think we 19 00:00:53,200 --> 00:00:57,440 Speaker 2: need to get into. On this episode, they had on 20 00:00:58,120 --> 00:01:03,720 Speaker 2: two people who aim to be USAID employees and the 21 00:01:03,800 --> 00:01:08,160 Speaker 2: claim to be that's going to feature into this complaining 22 00:01:08,240 --> 00:01:13,400 Speaker 2: about how Elon Musk is shutting down their their work 23 00:01:13,480 --> 00:01:18,000 Speaker 2: and doing it really haphazardly. Apparently, according to them, let's 24 00:01:18,240 --> 00:01:19,360 Speaker 2: roll the short clip. 25 00:01:19,520 --> 00:01:20,640 Speaker 1: People are really scared. 26 00:01:21,200 --> 00:01:24,160 Speaker 3: I think that you know, twelve days ago, people knew 27 00:01:24,160 --> 00:01:26,640 Speaker 3: where their next paycheck was coming from. They knew how 28 00:01:26,640 --> 00:01:29,160 Speaker 3: they were going to pay for their kids' takecare, their 29 00:01:29,280 --> 00:01:32,560 Speaker 3: medical bills, and then all gone. 30 00:01:32,640 --> 00:01:37,880 Speaker 4: Overnight, All gone overnight. For Christina Dry and Adam Dubard 31 00:01:38,360 --> 00:01:42,440 Speaker 4: fired this month in the chaotic shutdown of foreign aid 32 00:01:43,000 --> 00:01:49,400 Speaker 4: distributed by the US Agency for International Development USAID, more 33 00:01:49,440 --> 00:01:55,320 Speaker 4: than eight thousand USAID employees were sent home by the administration. 34 00:01:56,000 --> 00:01:57,520 Speaker 1: They're not looking for covenancy. 35 00:01:57,560 --> 00:01:59,160 Speaker 4: They're not looking for if you're good at your job. 36 00:01:59,160 --> 00:02:01,800 Speaker 4: They're looking for peer loyalty tests and if you don't 37 00:02:01,800 --> 00:02:03,880 Speaker 4: give it you you will be punished. 38 00:02:04,080 --> 00:02:07,320 Speaker 3: And they had to leave the building. And these are 39 00:02:07,360 --> 00:02:11,360 Speaker 3: folks who had decades and decades of public service serving 40 00:02:11,440 --> 00:02:16,720 Speaker 3: USAID across administrations from you know, George Bush to Obama 41 00:02:16,760 --> 00:02:20,160 Speaker 3: to the first Trump administration. And they were never able 42 00:02:20,200 --> 00:02:21,240 Speaker 3: to walk back in the building again. 43 00:02:21,680 --> 00:02:24,880 Speaker 4: There was no process, No one explained to them why 44 00:02:24,919 --> 00:02:26,160 Speaker 4: they were being relieved. 45 00:02:26,400 --> 00:02:29,120 Speaker 3: To my knowledge, they received an email and then if 46 00:02:29,160 --> 00:02:31,040 Speaker 3: they didn't leave the building, they were escorted out of 47 00:02:31,080 --> 00:02:31,560 Speaker 3: the building. 48 00:02:33,919 --> 00:02:37,800 Speaker 2: Interesting because it turns out that these two were not 49 00:02:38,120 --> 00:02:44,519 Speaker 2: employees of USAID. They were consultants who were never actually employees. 50 00:02:44,560 --> 00:02:47,400 Speaker 2: Therefore they could not be fired for their lack of loyalty. 51 00:02:48,440 --> 00:02:49,040 Speaker 2: What do you think? 52 00:02:49,200 --> 00:02:52,480 Speaker 1: So Christina Dry in particular, In particular, it turns out 53 00:02:52,600 --> 00:02:56,960 Speaker 1: was a consultant and in the capacity largely as a 54 00:02:57,000 --> 00:03:01,040 Speaker 1: close confidant and speech writer for Samantha Power. This is 55 00:03:01,080 --> 00:03:05,120 Speaker 1: a political position, Okay, There's two different kinds of positions 56 00:03:05,120 --> 00:03:08,040 Speaker 1: in the federal government. There are the civil service ones 57 00:03:08,160 --> 00:03:11,040 Speaker 1: that are intended to be more neutral and to cross 58 00:03:11,040 --> 00:03:13,880 Speaker 1: over several administrations, although in practice they end up being 59 00:03:13,919 --> 00:03:15,440 Speaker 1: quite political, just only to. 60 00:03:15,400 --> 00:03:17,600 Speaker 2: The left of course. Yeah. 61 00:03:17,760 --> 00:03:20,880 Speaker 1: Then there are political appointees who every time there's a switch, 62 00:03:21,520 --> 00:03:24,680 Speaker 1: they change out. That is the custom, that is the 63 00:03:24,800 --> 00:03:27,440 Speaker 1: proper way to do things. So Christina Dry was going 64 00:03:27,480 --> 00:03:32,560 Speaker 1: to lose that job regardless. And then she's painting herself 65 00:03:32,680 --> 00:03:36,040 Speaker 1: as not only a USAID employee or implying that she 66 00:03:36,200 --> 00:03:40,680 Speaker 1: is one, but also like a career civil servant, right, 67 00:03:40,720 --> 00:03:43,240 Speaker 1: which is not the case. In sixty minutes, isn't telling 68 00:03:43,240 --> 00:03:44,640 Speaker 1: you the truth about her? Yeah? 69 00:03:44,760 --> 00:03:49,440 Speaker 2: Also, she was on video the week before as she 70 00:03:49,560 --> 00:03:53,720 Speaker 2: was being interviewed also outside of the USAID offices, saying 71 00:03:53,800 --> 00:03:56,800 Speaker 2: that she removed a bunch of things from the office 72 00:03:57,040 --> 00:04:00,520 Speaker 2: as Doge was coming in, like pride flags or books 73 00:04:00,520 --> 00:04:04,360 Speaker 2: they may not like, or other things like that she 74 00:04:04,440 --> 00:04:07,560 Speaker 2: said she took out of the building. Hmm. You know, 75 00:04:07,720 --> 00:04:08,760 Speaker 2: I can't imagine why. 76 00:04:09,520 --> 00:04:11,920 Speaker 1: I empathize with the fact that there are a lot 77 00:04:11,960 --> 00:04:15,360 Speaker 1: of people whose lives and finances might be disrupted, yes, 78 00:04:15,400 --> 00:04:20,080 Speaker 1: by Doje's actions. Right, what she's relating here is just 79 00:04:20,120 --> 00:04:23,159 Speaker 1: what it looks like to get laid off any other place. 80 00:04:23,680 --> 00:04:23,920 Speaker 3: Yep. 81 00:04:24,520 --> 00:04:27,240 Speaker 1: This is what many Americans have experienced in the past. 82 00:04:27,960 --> 00:04:30,080 Speaker 1: One day, you know exactly what's happening in your life, 83 00:04:30,120 --> 00:04:32,800 Speaker 1: and the next day you don't. Sometimes, and it's not 84 00:04:32,839 --> 00:04:36,839 Speaker 1: to say that I'm celebrating that for people, but this 85 00:04:37,040 --> 00:04:40,320 Speaker 1: is a normal process that regular people go through. People 86 00:04:40,320 --> 00:04:43,840 Speaker 1: in civil service do not have the same experience because 87 00:04:43,880 --> 00:04:47,200 Speaker 1: they have extra protections, and the Trump administration is going 88 00:04:47,240 --> 00:04:51,359 Speaker 1: to test those protections as we go through this process. 89 00:04:51,400 --> 00:04:54,520 Speaker 1: By the way, did you see in the DC District 90 00:04:54,560 --> 00:04:59,279 Speaker 1: Court that Judge shoot Can Who's like the best chance 91 00:04:59,320 --> 00:05:02,800 Speaker 1: you're going to get a favorable decision for the civil 92 00:05:02,800 --> 00:05:07,760 Speaker 1: servants and the people suing Doge decided against the state's 93 00:05:07,800 --> 00:05:14,479 Speaker 1: sewing Doge yesterday. They wanted an emergency temporary restraining order, 94 00:05:14,520 --> 00:05:19,040 Speaker 1: saying we will suffer irreparable harm, and shut Can was like, 95 00:05:19,640 --> 00:05:22,560 Speaker 1: I can't give it to you because you haven't proved 96 00:05:22,680 --> 00:05:25,880 Speaker 1: that this is irreparable harm and that it is eminent. 97 00:05:26,200 --> 00:05:29,159 Speaker 1: What you've told me is that media is reporting that 98 00:05:29,200 --> 00:05:31,599 Speaker 1: they're going to fire a lot of people, and I'm 99 00:05:31,600 --> 00:05:34,800 Speaker 1: not allowed to use media reports and speculation as a 100 00:05:34,839 --> 00:05:39,520 Speaker 1: way to temporarily enjoin the executive branch, which like, yeah, 101 00:05:39,760 --> 00:05:42,960 Speaker 1: like kind of somebody said, imagine how bad their argument 102 00:05:43,080 --> 00:05:47,000 Speaker 1: was if shot Can has to say no. She wanted 103 00:05:47,040 --> 00:05:51,440 Speaker 1: to say yes, but in this battle no. There's an 104 00:05:51,480 --> 00:05:55,080 Speaker 1: interesting line in here where she says the thing about 105 00:05:55,440 --> 00:05:57,520 Speaker 1: sort of saying the quiet part out loud, like I 106 00:05:57,560 --> 00:06:00,000 Speaker 1: know you're telling me the media's saying this is happened, 107 00:06:00,839 --> 00:06:03,880 Speaker 1: but that's not a substitute for showing me that it's happening, 108 00:06:04,000 --> 00:06:06,200 Speaker 1: which is a perfect example of how the left and 109 00:06:06,240 --> 00:06:10,039 Speaker 1: the media work together to work against the will of 110 00:06:10,080 --> 00:06:12,880 Speaker 1: the electorate. They're like, oh, we made a story, and 111 00:06:12,920 --> 00:06:14,960 Speaker 1: therefore you should enjoin the executive branch. 112 00:06:15,320 --> 00:06:19,760 Speaker 2: Right, Yeah, that's a very interesting point. My friend Joel Engel, 113 00:06:19,880 --> 00:06:24,160 Speaker 2: the writer posted on x the sixty thousand people who 114 00:06:24,200 --> 00:06:27,400 Speaker 2: got cut loose when the Keystone Excel pipeline extension was 115 00:06:27,440 --> 00:06:30,840 Speaker 2: canceled after Biden took office know the feeling, except they 116 00:06:30,839 --> 00:06:35,120 Speaker 2: weren't bureaucrats. They were skilled construction workers and engineers. I mean, 117 00:06:35,160 --> 00:06:37,360 Speaker 2: people get laid off, and that's what happens a lot 118 00:06:37,360 --> 00:06:40,960 Speaker 2: of the time when new administrations take over. And so 119 00:06:41,400 --> 00:06:44,720 Speaker 2: also Elon Musk has said that these people are getting 120 00:06:45,200 --> 00:06:48,760 Speaker 2: eight months of pay and benefits, so it actually isn't 121 00:06:48,800 --> 00:06:51,120 Speaker 2: true that they don't know where their next meal is 122 00:06:51,120 --> 00:06:51,719 Speaker 2: coming from. 123 00:06:52,120 --> 00:06:54,520 Speaker 1: Well, and to the extent that it's uncertain. One of 124 00:06:54,520 --> 00:06:58,240 Speaker 1: the things that's happened is a federal judge has paused 125 00:06:58,320 --> 00:07:03,279 Speaker 1: those agreements. Five thousand reportedly have taken the buyout agreement. 126 00:07:03,520 --> 00:07:05,600 Speaker 1: But Judge, like I need to see more about this 127 00:07:05,640 --> 00:07:09,640 Speaker 1: before we let them do it again. They have protections 128 00:07:09,680 --> 00:07:12,960 Speaker 1: that private workers have no idea about, and so we're 129 00:07:12,960 --> 00:07:16,240 Speaker 1: going to sort through those. And I'm also open to 130 00:07:16,280 --> 00:07:20,000 Speaker 1: the idea that this is haphazard. I think many voters 131 00:07:20,080 --> 00:07:23,600 Speaker 1: see this as the only way to make progress in 132 00:07:23,760 --> 00:07:27,640 Speaker 1: understanding what's going on, so they're willing to go through that. 133 00:07:28,040 --> 00:07:30,320 Speaker 1: I don't want to lose experienced people who are good, 134 00:07:30,560 --> 00:07:33,800 Speaker 1: but frankly, a lot of the experienced people in like say, oh, 135 00:07:33,840 --> 00:07:37,000 Speaker 1: I don't know public health over the last five years, 136 00:07:37,480 --> 00:07:41,160 Speaker 1: have not proved to be knowledgeable or trustworthy or good 137 00:07:41,160 --> 00:07:44,200 Speaker 1: at their jobs. And that's a lot of people's experience 138 00:07:44,800 --> 00:07:46,680 Speaker 1: of the federal workforce. 139 00:07:46,840 --> 00:07:49,200 Speaker 2: That's right. And Dog just posting a lot of the 140 00:07:49,600 --> 00:07:53,640 Speaker 2: money that they're canceling on their X account, and it's 141 00:07:53,680 --> 00:07:58,320 Speaker 2: stuff like ten million for Mozambique voluntary medical mail circumcision 142 00:07:59,240 --> 00:08:01,800 Speaker 2: nine points and for u C. Berkeley to develop a 143 00:08:01,840 --> 00:08:05,720 Speaker 2: cohort of Cambodian youth with enterprise driven skills. I mean, 144 00:08:06,120 --> 00:08:09,840 Speaker 2: some of it, I'm sure isn't awful, but I just 145 00:08:09,920 --> 00:08:14,160 Speaker 2: don't know why we need to be doing biodiversity conversations 146 00:08:14,200 --> 00:08:18,160 Speaker 2: in Nepal or social cohesion in Mali or any of 147 00:08:18,200 --> 00:08:21,240 Speaker 2: this stuff that sort of just sounds ridiculous. And a 148 00:08:21,280 --> 00:08:24,760 Speaker 2: lot of people are realizing that I had a tweet 149 00:08:24,800 --> 00:08:27,920 Speaker 2: that I had more se retweeted into my timeline of 150 00:08:28,360 --> 00:08:31,440 Speaker 2: minim the d's account. He says, count me as one 151 00:08:31,480 --> 00:08:34,640 Speaker 2: of the supporters, much to my surprise. I think a 152 00:08:34,640 --> 00:08:37,320 Speaker 2: lot of people recognize that the government needs pruning and 153 00:08:37,400 --> 00:08:40,880 Speaker 2: are willing to overlook the occasional errand snip because the 154 00:08:40,920 --> 00:08:42,520 Speaker 2: bush is so out of control. 155 00:08:42,679 --> 00:08:44,600 Speaker 1: I think that's going to be a lot of people's 156 00:08:44,960 --> 00:08:49,480 Speaker 1: take on this, to the point about how they're covering this. 157 00:08:49,760 --> 00:08:54,720 Speaker 1: Of course, the media in the District of Columbia area, 158 00:08:54,880 --> 00:08:58,200 Speaker 1: certainly everyone who works in media works very closely with 159 00:08:58,280 --> 00:09:02,959 Speaker 1: federal employees, right, civil servants in particular, who have been 160 00:09:02,960 --> 00:09:06,040 Speaker 1: there for a long time and are arguably deep state 161 00:09:06,120 --> 00:09:10,160 Speaker 1: ish and leak all their stuff to the media. Right, 162 00:09:10,200 --> 00:09:14,199 Speaker 1: So the media thinks that these are the perfect sympathetic victims. 163 00:09:14,240 --> 00:09:16,800 Speaker 1: I think they're misreading, and that doesn't mean that there 164 00:09:16,840 --> 00:09:20,280 Speaker 1: aren't victims among them. But I do notice that, for instance, 165 00:09:20,520 --> 00:09:23,440 Speaker 1: the Washington Post has like Johnny on the Spot, a 166 00:09:23,559 --> 00:09:27,360 Speaker 1: reporter at every town hall for a Virginia politician where 167 00:09:27,360 --> 00:09:30,679 Speaker 1: he's getting asked questions about these federal jobs. Because in 168 00:09:30,760 --> 00:09:33,760 Speaker 1: Virginia this will make a large difference. The federal workforce 169 00:09:33,800 --> 00:09:36,800 Speaker 1: has grown. As it has Virginia has gotten bluer and bluer. 170 00:09:37,360 --> 00:09:41,360 Speaker 1: Despite the blip welcome with Youngkin, which may have some 171 00:09:41,440 --> 00:09:45,600 Speaker 1: staying power. But Washington Post reporters, they're live tweeting a 172 00:09:45,720 --> 00:09:51,040 Speaker 1: local town hall with Representative Vinman so that people can 173 00:09:51,080 --> 00:09:55,280 Speaker 1: hear all these sad stories. Not so many national reporters 174 00:09:55,320 --> 00:10:00,480 Speaker 1: like in western North Carolina. You know, those victims not 175 00:10:00,600 --> 00:10:01,679 Speaker 1: as special as these things. 176 00:10:01,800 --> 00:10:02,000 Speaker 3: Yepes. 177 00:10:02,080 --> 00:10:04,120 Speaker 2: They didn't really tell a lot of stories from the 178 00:10:04,200 --> 00:10:07,400 Speaker 2: Keystone pipeline people being laid off. I didn't really read 179 00:10:07,440 --> 00:10:08,040 Speaker 2: a lot of those. 180 00:10:08,520 --> 00:10:10,360 Speaker 1: By the way, I think the AP estimates there are 181 00:10:10,360 --> 00:10:13,520 Speaker 1: two point four million federal workers, twenty percent of them 182 00:10:13,600 --> 00:10:15,760 Speaker 1: are in the DC area, so it does make a 183 00:10:15,800 --> 00:10:19,600 Speaker 1: big economic impact here. Like I said, seventy five k 184 00:10:19,720 --> 00:10:24,640 Speaker 1: have accepted the buyout. Reportedly, the VA may have lost 185 00:10:24,640 --> 00:10:28,400 Speaker 1: a thousand people, Energy three hundred and fifty HHS and 186 00:10:28,480 --> 00:10:33,480 Speaker 1: CDC a couple thousand, but as we note the total 187 00:10:33,520 --> 00:10:36,680 Speaker 1: numbers two point four million. Yeah, and a lot of 188 00:10:36,720 --> 00:10:42,800 Speaker 1: these jobs. Although they are certainly very important to the 189 00:10:42,880 --> 00:10:47,960 Speaker 1: agencies themselves, because the agencies themselves are invested in perpetuating themselves, 190 00:10:48,840 --> 00:10:52,400 Speaker 1: it remains to me seeing how important they are to voters, right. 191 00:10:52,720 --> 00:10:54,840 Speaker 2: That is what remains to be seen. We'll see how 192 00:10:54,920 --> 00:10:57,080 Speaker 2: much voters care about this. And that's the thing. A 193 00:10:57,120 --> 00:10:59,839 Speaker 2: lot of people I've seen kind of people in the 194 00:10:59,840 --> 00:11:02,760 Speaker 2: life tweet like alwos you know the voters will feel 195 00:11:02,800 --> 00:11:05,600 Speaker 2: this soon, but like will they will they feel this? 196 00:11:05,800 --> 00:11:06,560 Speaker 2: I don't know. 197 00:11:07,200 --> 00:11:10,760 Speaker 1: I think it's possible you have a phenomenon where voters 198 00:11:10,800 --> 00:11:14,600 Speaker 1: feel it in Virginia and Maryland. Although Maryland ain't getting 199 00:11:14,600 --> 00:11:17,880 Speaker 1: any bluer like that, one's not going to change. Virginia 200 00:11:18,280 --> 00:11:21,480 Speaker 1: could be a place where you see backlash. But again, 201 00:11:21,640 --> 00:11:25,160 Speaker 1: it just once again sort of emphasizes that the economic 202 00:11:25,160 --> 00:11:30,400 Speaker 1: effects of this are so centralized at the capitol hunger 203 00:11:30,440 --> 00:11:34,920 Speaker 1: game style that maybe the regular folks will not be 204 00:11:34,960 --> 00:11:35,679 Speaker 1: affected by it. 205 00:11:36,760 --> 00:11:37,920 Speaker 2: Yeah, it remains to be seen. 206 00:11:39,280 --> 00:11:41,360 Speaker 1: But one more thing, and I'm just going to repeat this. 207 00:11:41,400 --> 00:11:44,520 Speaker 1: I know I keep repeating it. This idea that they 208 00:11:44,559 --> 00:11:49,400 Speaker 1: have no legal authority is false, right DOJE is the 209 00:11:49,559 --> 00:11:53,280 Speaker 1: US Digital Service, which was authorized by Obama. The people 210 00:11:53,320 --> 00:11:56,560 Speaker 1: who lead the US Digital Service have been appointed by 211 00:11:56,600 --> 00:11:59,600 Speaker 1: the president. I do not believe they were sentate confirmed either. 212 00:12:00,080 --> 00:12:03,559 Speaker 1: This idea that a special government employee cannot do anything 213 00:12:04,440 --> 00:12:08,400 Speaker 1: is wild, and even shut can is like, actually they 214 00:12:08,559 --> 00:12:12,440 Speaker 1: can look at records inside these agencies, right, just as 215 00:12:12,480 --> 00:12:16,600 Speaker 1: they've been doing since the Obama administration. Now, letting people 216 00:12:16,640 --> 00:12:18,439 Speaker 1: go is the question. And I do think that one 217 00:12:18,480 --> 00:12:19,720 Speaker 1: might be a bigger legal question. 218 00:12:19,960 --> 00:12:22,360 Speaker 2: And I think you want to talk about voters hearing 219 00:12:22,400 --> 00:12:25,360 Speaker 2: that you can't fire government employees. I feel like that's 220 00:12:25,400 --> 00:12:27,880 Speaker 2: going to be something that they don't realize is going 221 00:12:27,920 --> 00:12:28,839 Speaker 2: to affect. 222 00:12:28,440 --> 00:12:32,960 Speaker 1: People every Yeah, yeah, that's the thing they say. And 223 00:12:33,000 --> 00:12:35,520 Speaker 1: again I'm sort of sympathetic to the argument, like, oh, 224 00:12:35,559 --> 00:12:37,800 Speaker 1: go at this with a scalpel. Okay, we'd love to, 225 00:12:37,880 --> 00:12:39,920 Speaker 1: but you've never let us do it with a scalpel either. 226 00:12:41,040 --> 00:12:44,320 Speaker 1: The admonition is always be careful with the bureaucracy. Be 227 00:12:44,400 --> 00:12:47,480 Speaker 1: careful with the bureaucracy. Is the bureaucracy ever careful with me? 228 00:12:47,880 --> 00:12:48,120 Speaker 3: Never? 229 00:12:48,559 --> 00:12:51,280 Speaker 1: Or my money? I would love for them to be. 230 00:12:51,840 --> 00:12:54,720 Speaker 2: Yeah, they want to know how you spent every penny 231 00:12:54,760 --> 00:12:57,959 Speaker 2: last year. They don't want to tell you how they 232 00:12:58,000 --> 00:13:02,079 Speaker 2: spent their money new We're going to take a short 233 00:13:02,080 --> 00:13:08,480 Speaker 2: break and come right back with normally. So, speaking of 234 00:13:08,720 --> 00:13:13,880 Speaker 2: new voters and voting habits shifting, the Atlantic had a 235 00:13:13,920 --> 00:13:19,120 Speaker 2: piece about how it could be that the COVID lockdowns 236 00:13:19,480 --> 00:13:22,760 Speaker 2: made the young people more right leaning. 237 00:13:23,200 --> 00:13:26,400 Speaker 1: Yeah, The Atlantic reports you know, for decades, America's young 238 00:13:26,440 --> 00:13:29,280 Speaker 1: voters have been deeply and famously progressive. In two thousand 239 00:13:29,280 --> 00:13:31,760 Speaker 1: and eight, a youthquake sent Barack Obama to the White House. 240 00:13:31,800 --> 00:13:34,280 Speaker 1: In twenty sixteen, voters eighteen to twenty nine broke for 241 00:13:34,360 --> 00:13:37,200 Speaker 1: Hillary Clinton by eighteen points. In twenty twenty, they voted 242 00:13:37,240 --> 00:13:40,280 Speaker 1: for Joe Biden by twenty four points. In twenty twenty four, 243 00:13:40,320 --> 00:13:43,520 Speaker 1: Donald Trump closed most of the gap, losing voters under 244 00:13:43,559 --> 00:13:46,240 Speaker 1: thirty by a fifty one to forty seven margin. That 245 00:13:46,400 --> 00:13:51,199 Speaker 1: is a five alarm fire startling for Democrats. 246 00:13:51,480 --> 00:13:53,960 Speaker 2: Yeah, I mean, and it's interesting, is it was it 247 00:13:54,040 --> 00:13:58,920 Speaker 2: Kamala Harris or is this a permanent shift? Which is 248 00:13:58,960 --> 00:14:01,840 Speaker 2: really the question. You know, there was an interesting part 249 00:14:01,920 --> 00:14:05,600 Speaker 2: of that Atlantic piece. I really like this that people, 250 00:14:05,760 --> 00:14:10,160 Speaker 2: once they change, they really don't change back. They write. 251 00:14:10,320 --> 00:14:13,360 Speaker 2: Most famously, so called depression babies who grew up in 252 00:14:13,400 --> 00:14:16,440 Speaker 2: the nineteen thirties saved more as adults. And there are 253 00:14:16,480 --> 00:14:19,680 Speaker 2: some evidence that corporate managers born in the thirties were 254 00:14:19,800 --> 00:14:23,280 Speaker 2: unusually disciplined to take on loans. Perhaps the eighteen to 255 00:14:23,320 --> 00:14:27,040 Speaker 2: twenty five Cohort, whose youths were thrown into a people 256 00:14:27,080 --> 00:14:30,400 Speaker 2: by COVID will adopt a set of socio political assumptions 257 00:14:30,400 --> 00:14:33,440 Speaker 2: that form a new sort of ideology that doesn't quite 258 00:14:33,520 --> 00:14:37,280 Speaker 2: have a name yet. Maybe or maybe they're just never 259 00:14:37,360 --> 00:14:40,200 Speaker 2: going to trust the government, which is I don't know. 260 00:14:40,480 --> 00:14:43,160 Speaker 2: I'm in for that. I'm in for them being skeptical 261 00:14:43,200 --> 00:14:45,040 Speaker 2: of everything the government ever tells them. 262 00:14:45,480 --> 00:14:49,760 Speaker 1: Well, that's the thing is that even Derek Thompson, who 263 00:14:49,760 --> 00:14:52,000 Speaker 1: I think is better at reporting on this stuff than many. 264 00:14:52,560 --> 00:14:54,000 Speaker 2: He's the one who wrote the Atlantic piece. 265 00:14:54,200 --> 00:14:56,680 Speaker 1: He wrote the Atlantic piece, I do think there's an 266 00:14:56,680 --> 00:15:03,960 Speaker 1: inability to recognize just how much government experts betrayed public trust. Yeah, 267 00:15:04,000 --> 00:15:07,040 Speaker 1: Like they're just like, oh, the pandemic made them distrustful 268 00:15:07,120 --> 00:15:12,720 Speaker 1: because of gestures, you know, generation right, It's like, well, 269 00:15:12,800 --> 00:15:15,640 Speaker 1: it was real things that were happening that were making 270 00:15:15,640 --> 00:15:18,720 Speaker 1: people say, I think you're full of it. Yeah, and 271 00:15:18,960 --> 00:15:23,600 Speaker 1: young people were really damaged by having their milestones taken 272 00:15:23,640 --> 00:15:25,440 Speaker 1: from them, and not just that this is what the 273 00:15:25,520 --> 00:15:28,960 Speaker 1: left does. It's one step further, take all your stuff 274 00:15:29,000 --> 00:15:32,560 Speaker 1: from you and then tell you you're the jerk for complaining 275 00:15:32,560 --> 00:15:32,920 Speaker 1: about it. 276 00:15:33,000 --> 00:15:36,440 Speaker 2: Yeah, you didn't do it good enough, you didn't miss 277 00:15:36,440 --> 00:15:38,000 Speaker 2: your prom good enough for them. 278 00:15:38,200 --> 00:15:42,400 Speaker 1: You didn't miss your graduation with correct stoicism, because you know, 279 00:15:42,440 --> 00:15:45,880 Speaker 1: the left is so good at stoicism, and they got 280 00:15:45,960 --> 00:15:47,760 Speaker 1: upset and they should have. 281 00:15:48,600 --> 00:15:51,480 Speaker 2: Yeah. Look, my kids aren't old enough to vote yet, 282 00:15:51,520 --> 00:15:55,080 Speaker 2: but they definitely the takeaway for them of the pandemic 283 00:15:55,280 --> 00:15:58,080 Speaker 2: was adults don't know stuff like that was what they 284 00:15:58,160 --> 00:16:01,840 Speaker 2: left the last few years thinking, like you know, they 285 00:16:01,880 --> 00:16:04,360 Speaker 2: made them eat on the ground at their public schools 286 00:16:04,360 --> 00:16:07,760 Speaker 2: in Brooklyn while old people who are at risk of 287 00:16:07,800 --> 00:16:12,560 Speaker 2: COVID sat inside at restaurants. And my middle son would 288 00:16:12,560 --> 00:16:14,680 Speaker 2: get in trouble all the time for his mask falling 289 00:16:14,720 --> 00:16:18,000 Speaker 2: below his nose. But then he'd see politicians on TV 290 00:16:18,240 --> 00:16:19,600 Speaker 2: not wearing masks at all, as. 291 00:16:19,520 --> 00:16:21,040 Speaker 1: They had no conversations. 292 00:16:21,360 --> 00:16:24,800 Speaker 2: They realized that a adults can lie to them, but 293 00:16:25,040 --> 00:16:29,000 Speaker 2: be that adults don't know everything. And it's a realization 294 00:16:29,040 --> 00:16:30,760 Speaker 2: that a lot of people come to. My kids just 295 00:16:30,840 --> 00:16:34,040 Speaker 2: will get that realization a little bit earlier than others. 296 00:16:34,280 --> 00:16:36,680 Speaker 1: Yeah, and I think, you know, you see that that 297 00:16:36,760 --> 00:16:40,080 Speaker 1: trend of people sticking with their twenty something politics in 298 00:16:40,120 --> 00:16:42,400 Speaker 1: the millennial cohort, which I'm in, although I'm like the 299 00:16:42,400 --> 00:16:45,160 Speaker 1: grandma of that court cohort, arguably a little gen X, 300 00:16:46,400 --> 00:16:51,120 Speaker 1: but they were the Obama generation right, and gen X 301 00:16:51,200 --> 00:16:53,400 Speaker 1: and gen Z on either side of them are more 302 00:16:53,440 --> 00:16:57,440 Speaker 1: conservative than the millennials are. The millennials were like, oh, 303 00:16:57,520 --> 00:17:00,840 Speaker 1: I'm inspired by Obama. Yes, and it's right. And then 304 00:17:00,880 --> 00:17:04,280 Speaker 1: the concern was that every generation after that, and our 305 00:17:04,280 --> 00:17:07,080 Speaker 1: friend Christen Soultus Anderson has written about this at length, 306 00:17:07,600 --> 00:17:10,800 Speaker 1: that we wouldn't be able to move any future generations 307 00:17:10,840 --> 00:17:13,240 Speaker 1: to the right because they're getting married later. Yeah, they're 308 00:17:13,240 --> 00:17:16,639 Speaker 1: having kids later, the things that generally make you more conservative. 309 00:17:16,880 --> 00:17:18,960 Speaker 1: But it turned out the government and the left just 310 00:17:18,960 --> 00:17:20,760 Speaker 1: decided to make conservatives. 311 00:17:21,880 --> 00:17:29,120 Speaker 2: They're like, here's what we have for you. Where's our program. Also, 312 00:17:29,680 --> 00:17:33,399 Speaker 2: the effect of Donald Trump and this whole this election 313 00:17:33,800 --> 00:17:36,159 Speaker 2: and the fact that he went on all these cool podcasts, 314 00:17:36,520 --> 00:17:40,680 Speaker 2: the cool factor really can't be overlooked. It became uncool 315 00:17:40,720 --> 00:17:43,880 Speaker 2: to be a Democrat for really the first time in 316 00:17:43,920 --> 00:17:48,080 Speaker 2: my life, and I'm relax some firmly. Gen X and 317 00:17:48,640 --> 00:17:51,960 Speaker 2: gen X also went major for Trump and this election, 318 00:17:52,160 --> 00:17:56,080 Speaker 2: and it was the first time that it was not 319 00:17:56,200 --> 00:18:00,119 Speaker 2: just acceptable but like preferable, Like people made fun of 320 00:18:00,200 --> 00:18:03,600 Speaker 2: Kamala voters they did. That became a thing that happened 321 00:18:03,680 --> 00:18:08,040 Speaker 2: and comedians would you know, mock them and and all 322 00:18:08,040 --> 00:18:11,399 Speaker 2: of that, and yeah. 323 00:18:11,080 --> 00:18:13,159 Speaker 1: I think I think that's I think that's part of 324 00:18:13,200 --> 00:18:19,360 Speaker 1: the disorientation and unmoored feeling of democratic leadership right now, 325 00:18:19,400 --> 00:18:21,960 Speaker 1: is that they have never had to argue in my 326 00:18:22,040 --> 00:18:27,000 Speaker 1: lifetime from the position of being the uncool party. Perhaps 327 00:18:27,080 --> 00:18:32,240 Speaker 1: maybe Ronald Reagan's second term, like that reelection, right, so 328 00:18:32,359 --> 00:18:34,639 Speaker 1: maybe in that area, although I think that was still 329 00:18:34,680 --> 00:18:38,520 Speaker 1: a time when just the mostly silent majority was like, 330 00:18:39,160 --> 00:18:42,280 Speaker 1: we're a giant majority, We're going to handle this. But 331 00:18:42,320 --> 00:18:46,399 Speaker 1: the cool people were still the lefty people in culture, right, right, 332 00:18:46,720 --> 00:18:49,919 Speaker 1: So I think they're just they don't know what to 333 00:18:50,000 --> 00:18:50,439 Speaker 1: do with that. 334 00:18:50,960 --> 00:18:54,080 Speaker 2: Yeah, that's really interesting actually because we never hear about like, oh, 335 00:18:54,119 --> 00:18:56,280 Speaker 2: the youths, you know, they came out for Reagan, Like, 336 00:18:56,320 --> 00:18:57,640 Speaker 2: I still don't think that they did. 337 00:18:58,800 --> 00:19:01,560 Speaker 1: I think I think it was actually back then the 338 00:19:01,600 --> 00:19:05,359 Speaker 1: male the male female gap was the gender gap was smaller, 339 00:19:05,640 --> 00:19:08,240 Speaker 1: and I think the age gaps were smaller. Certainly for 340 00:19:08,280 --> 00:19:12,440 Speaker 1: Reagan's reelection, right, you know, he was very unifying. 341 00:19:12,280 --> 00:19:16,080 Speaker 2: He was forty nine states and all that. 342 00:19:16,359 --> 00:19:19,400 Speaker 1: Yeah, it's just like a little it's wild, it's wild 343 00:19:19,480 --> 00:19:23,600 Speaker 1: at the retelling, like in liberals' brains where they're like, oh, Reagan, 344 00:19:23,760 --> 00:19:29,280 Speaker 1: very problematic, very unpopular, very nine states. 345 00:19:29,160 --> 00:19:34,080 Speaker 2: Yeah, one New York, one, New Jersey, one, Massachusetts, Yeah problematic. 346 00:19:34,800 --> 00:19:37,200 Speaker 2: May we have future problematic people? 347 00:19:37,280 --> 00:19:38,600 Speaker 1: Yes, exactly. 348 00:19:38,960 --> 00:19:40,640 Speaker 2: We'll be right back on normally. 349 00:19:44,080 --> 00:19:46,160 Speaker 1: Shall we talk about Mayor Eric Adams? Oh? 350 00:19:46,240 --> 00:19:49,760 Speaker 2: If we must, I guess you know. It's I'm so 351 00:19:49,880 --> 00:19:54,760 Speaker 2: torn on him because there's a lot of corruption around him, 352 00:19:54,920 --> 00:19:57,120 Speaker 2: and I've written about this in the past. I wrote 353 00:19:57,119 --> 00:19:59,920 Speaker 2: about it in September where I wrote about all the 354 00:20:00,119 --> 00:20:04,720 Speaker 2: people around him doing really weird, shady things and a 355 00:20:04,800 --> 00:20:08,240 Speaker 2: lot of them getting indicted. I don't know that he 356 00:20:08,840 --> 00:20:12,280 Speaker 2: is the corruption kind of whirlwind. I don't know that 357 00:20:12,320 --> 00:20:16,280 Speaker 2: he's the one causing it necessarily. But it's not great. 358 00:20:16,880 --> 00:20:20,359 Speaker 2: It's really not Having said that, if I lived in 359 00:20:20,440 --> 00:20:23,560 Speaker 2: New York and I tweeted this before, but I would 360 00:20:23,560 --> 00:20:27,280 Speaker 2: be holding on to him with my fingernails, right, So 361 00:20:27,359 --> 00:20:30,560 Speaker 2: anybody that comes after is going to be so much worse. 362 00:20:31,320 --> 00:20:34,440 Speaker 1: So this is this is a story in several parts, right, 363 00:20:34,520 --> 00:20:40,639 Speaker 1: because Eric Adams fairly unpopular in New York City. But 364 00:20:40,720 --> 00:20:44,760 Speaker 1: he did make a political turn, and I think in 365 00:20:44,760 --> 00:20:47,359 Speaker 1: some policies towards saying like, hey, the things I've gotten 366 00:20:47,359 --> 00:20:49,200 Speaker 1: a little out of hand here with the illegal immigration 367 00:20:49,280 --> 00:20:52,280 Speaker 1: and some of the crime, perhaps we could do something 368 00:20:52,320 --> 00:20:53,439 Speaker 1: about that for the people. 369 00:20:53,680 --> 00:20:56,879 Speaker 2: Yeah, you're not exaggerating. That's literally how he did it 370 00:20:56,920 --> 00:21:00,639 Speaker 2: in the most delicate, minor way possible. He wasn't like 371 00:21:01,160 --> 00:21:04,160 Speaker 2: we should stop a legal immigration. He was like, can 372 00:21:04,160 --> 00:21:07,080 Speaker 2: we get more funding for this, or you know, this 373 00:21:07,160 --> 00:21:08,240 Speaker 2: seems like a problem. 374 00:21:08,320 --> 00:21:11,480 Speaker 1: Perhaps, like let's just acknowledge that we do have many 375 00:21:11,640 --> 00:21:13,040 Speaker 1: people coming into the city that. 376 00:21:12,960 --> 00:21:14,879 Speaker 2: Were having well he wanted. Yeah. 377 00:21:15,119 --> 00:21:20,200 Speaker 1: So shortly after that turn, and this is correlation, not causation. 378 00:21:20,320 --> 00:21:23,560 Speaker 1: I'm just giving you the timeline, he was indicted on 379 00:21:23,600 --> 00:21:27,200 Speaker 1: something that surely had been investigated for quite some time. 380 00:21:28,200 --> 00:21:30,600 Speaker 1: But it and this is I thought this before any 381 00:21:30,640 --> 00:21:33,480 Speaker 1: of this happened with Trump. The indictment was basically like 382 00:21:33,560 --> 00:21:37,480 Speaker 1: he's been taking flight upgrades from Turkish airlines, right, which 383 00:21:38,680 --> 00:21:40,680 Speaker 1: on the public corruption scale. 384 00:21:40,960 --> 00:21:44,000 Speaker 2: Yeah, and yeah, so just to add to that, he 385 00:21:44,119 --> 00:21:47,399 Speaker 2: was taking the upgrades on Turkish airlines. And also, by 386 00:21:47,440 --> 00:21:49,560 Speaker 2: the way, like looking into like when he had to 387 00:21:49,560 --> 00:21:52,000 Speaker 2: like fly to Texas, he was like, hey, does Turkish 388 00:21:52,000 --> 00:21:57,240 Speaker 2: airlines fly there and have his emails asking that not 389 00:21:57,720 --> 00:21:58,280 Speaker 2: so smart. 390 00:21:59,640 --> 00:22:02,760 Speaker 1: He's all of it down right like, which is another 391 00:22:02,800 --> 00:22:05,840 Speaker 1: thing that I think probably makes him and Trump find 392 00:22:06,560 --> 00:22:08,480 Speaker 1: find commonality is they're like, oh, you know, we just 393 00:22:08,520 --> 00:22:09,359 Speaker 1: say what we're doing. 394 00:22:09,600 --> 00:22:09,760 Speaker 2: Right. 395 00:22:09,800 --> 00:22:12,679 Speaker 1: Anyway, I thought the the the alleged crimes in this 396 00:22:12,720 --> 00:22:14,200 Speaker 1: were like a little thin. 397 00:22:14,520 --> 00:22:16,720 Speaker 2: Let me just add sorry I meant to add. But 398 00:22:16,920 --> 00:22:19,679 Speaker 2: the reason that they were giving him the upgrades was 399 00:22:19,720 --> 00:22:22,520 Speaker 2: the Turkish embassy was being built in New York and 400 00:22:22,680 --> 00:22:26,679 Speaker 2: there was a long waiting list for the FD and 401 00:22:26,880 --> 00:22:28,359 Speaker 2: Y it this is. 402 00:22:28,359 --> 00:22:29,919 Speaker 1: Such a New York store certification. 403 00:22:30,600 --> 00:22:32,760 Speaker 2: Yeah, they needed the FD and WY to sign off 404 00:22:32,800 --> 00:22:36,159 Speaker 2: on it. They failed their first inspection and they wanted 405 00:22:36,160 --> 00:22:37,800 Speaker 2: to be moved to the front of the list for 406 00:22:37,840 --> 00:22:40,760 Speaker 2: the second one. Now how common was this in New York? 407 00:22:40,880 --> 00:22:45,960 Speaker 2: How common? The Blasio administration that preceded Adams handed the 408 00:22:46,000 --> 00:22:50,360 Speaker 2: Adams administration a binder of people and agencies and corporations 409 00:22:50,359 --> 00:22:52,359 Speaker 2: and they were like, these people get moved to the 410 00:22:52,359 --> 00:22:56,960 Speaker 2: front of the list. God, and so Adams added somebody 411 00:22:57,000 --> 00:22:59,159 Speaker 2: to that binder. That's what he did. This is the 412 00:22:59,280 --> 00:23:03,160 Speaker 2: this is the an extent of his you know, alleged crimes. 413 00:23:03,240 --> 00:23:05,320 Speaker 1: Okay, so it seemed a little thin to me. The 414 00:23:06,320 --> 00:23:08,320 Speaker 1: Southern District of New York says, there's more to come. 415 00:23:08,640 --> 00:23:11,080 Speaker 1: We were investigating him. We're going to put this in 416 00:23:11,119 --> 00:23:13,920 Speaker 1: the you know, in the case as we move forward. 417 00:23:14,000 --> 00:23:19,320 Speaker 1: In the meantime, Trump's administration instructs the Southern District of 418 00:23:19,359 --> 00:23:23,240 Speaker 1: New York and the lawyers therein to drop these charges, 419 00:23:23,720 --> 00:23:26,840 Speaker 1: which on one hand could be a legit like, hey, 420 00:23:26,880 --> 00:23:31,280 Speaker 1: we have prosecutorial discretion in the DJ we don't think 421 00:23:31,320 --> 00:23:35,679 Speaker 1: this really passes muster for these reasons, and go forth 422 00:23:35,760 --> 00:23:38,280 Speaker 1: and tell the judge that this is the reason we're 423 00:23:38,280 --> 00:23:38,600 Speaker 1: doing this. 424 00:23:38,840 --> 00:23:39,040 Speaker 2: Yeah. 425 00:23:39,160 --> 00:23:42,360 Speaker 1: Well, two of the folks involved in this case, one 426 00:23:42,359 --> 00:23:45,760 Speaker 1: of whom at least is verified as like a federalist society, 427 00:23:46,400 --> 00:23:50,840 Speaker 1: yeah right, yeah, yeah, and like a like a personally 428 00:23:50,880 --> 00:23:55,119 Speaker 1: conservative person in the in the legal world, says no, no, no, no, no. 429 00:23:56,359 --> 00:23:58,399 Speaker 1: I can't go to a judge and do that. You 430 00:23:58,440 --> 00:24:01,639 Speaker 1: didn't give me legal res that were doing this. You 431 00:24:01,640 --> 00:24:04,600 Speaker 1: didn't give me a rationale for this, and as such, 432 00:24:05,000 --> 00:24:08,240 Speaker 1: I am concerned that your rationale is that Eric Adams 433 00:24:08,280 --> 00:24:11,159 Speaker 1: is working with you on immigration and therefore you're gonna 434 00:24:11,520 --> 00:24:13,160 Speaker 1: let him off the hook for this, In which case 435 00:24:13,280 --> 00:24:15,280 Speaker 1: you should pardon him, not do it this way? 436 00:24:15,800 --> 00:24:18,040 Speaker 2: Right, and she ends up resigning. 437 00:24:17,760 --> 00:24:19,439 Speaker 1: Yes, which is the right thing to do if you 438 00:24:19,480 --> 00:24:21,520 Speaker 1: do not want to do something asked of you in 439 00:24:21,560 --> 00:24:21,960 Speaker 1: your job. 440 00:24:22,200 --> 00:24:27,280 Speaker 2: I agree absolutely. And a lot of conservatives are saying, 441 00:24:28,240 --> 00:24:31,840 Speaker 2: why do we need Eric Adams so badly? Like why 442 00:24:31,960 --> 00:24:36,000 Speaker 2: sacrifice these people for Eric Adams? And I understand that. 443 00:24:36,080 --> 00:24:39,240 Speaker 2: And again, having said all that, if I were a 444 00:24:39,280 --> 00:24:42,480 Speaker 2: conservative in New York, I'd be like, these save Eric Adams, 445 00:24:42,600 --> 00:24:43,200 Speaker 2: we need him. 446 00:24:44,040 --> 00:24:46,560 Speaker 1: Saltines look great to a starving person. Yeah, it's like 447 00:24:47,119 --> 00:24:48,240 Speaker 1: exactly right. 448 00:24:48,359 --> 00:24:53,400 Speaker 2: Because if Governor Kathy Hokeel removes Mayor Eric Adams, which 449 00:24:53,440 --> 00:24:58,720 Speaker 2: may happen, it's public Advocate Jamaine Williams who becomes the mayor. 450 00:25:00,119 --> 00:25:01,679 Speaker 2: Let me tell you, New York City, if you're a 451 00:25:01,680 --> 00:25:02,920 Speaker 2: wild ride with him. 452 00:25:03,280 --> 00:25:06,000 Speaker 1: Well, and that's that's the second part of this story, right, 453 00:25:06,119 --> 00:25:09,439 Speaker 1: is where I go, this looks shady. Why are you 454 00:25:09,520 --> 00:25:12,240 Speaker 1: doing this? And by the way, Trump, who's supposed to 455 00:25:12,240 --> 00:25:15,600 Speaker 1: be a great negotiator, why are we trading away prosecutorial 456 00:25:15,720 --> 00:25:18,879 Speaker 1: credibility for other things you want to do for a 457 00:25:18,960 --> 00:25:22,640 Speaker 1: mortally wounded democrat mayor of New York City. And my friend, 458 00:25:23,160 --> 00:25:25,159 Speaker 1: my friend Guy Benson has made the point, Well, it 459 00:25:25,280 --> 00:25:32,440 Speaker 1: just he really kind of likes a corrupt democrat like there, like. 460 00:25:31,359 --> 00:25:33,639 Speaker 2: Likes who he likes. And if you if you're on 461 00:25:33,680 --> 00:25:36,679 Speaker 2: the like side, he's going to do things for you, 462 00:25:36,720 --> 00:25:38,399 Speaker 2: and if you're not on the like side, he's not. 463 00:25:38,720 --> 00:25:41,840 Speaker 2: And you know, and the thing is the only difference 464 00:25:41,880 --> 00:25:45,040 Speaker 2: between Trump and other politicians is that he's very open 465 00:25:45,080 --> 00:25:48,720 Speaker 2: about this act like super politicians do this. It's just 466 00:25:48,840 --> 00:25:51,080 Speaker 2: he's like, I like this guy, I'm going to help him. 467 00:25:51,080 --> 00:25:51,960 Speaker 1: I don't like this guy. 468 00:25:52,040 --> 00:25:53,080 Speaker 2: I'm not going to help him. 469 00:25:53,520 --> 00:25:56,159 Speaker 1: So then so Eric Adams goes on this like publicity 470 00:25:56,200 --> 00:25:58,919 Speaker 1: tour with Homan on the morning shows to say, I'm 471 00:25:58,960 --> 00:26:00,840 Speaker 1: going to help out. I'm gonna give him Franks Island, 472 00:26:00,960 --> 00:26:03,440 Speaker 1: which fine. I think you would have helped out regardless. 473 00:26:03,720 --> 00:26:05,880 Speaker 1: I don't think you need to do this. And one 474 00:26:05,880 --> 00:26:08,840 Speaker 1: of the allegations is that the reason they didn't get 475 00:26:08,880 --> 00:26:11,720 Speaker 1: him pardoned is because they still have leverage over him 476 00:26:11,880 --> 00:26:15,639 Speaker 1: when he's in this position. So I'm like, oh, that's bad, 477 00:26:15,760 --> 00:26:18,560 Speaker 1: y'all shouldn't do that. This seems like a very bad idea. 478 00:26:18,600 --> 00:26:21,720 Speaker 1: And then Kathy Hokele, Governor of New York, comes along 479 00:26:22,119 --> 00:26:27,200 Speaker 1: to say I'm gonna unmayor the mayor, and I'm like, okay, 480 00:26:27,200 --> 00:26:30,800 Speaker 1: so now you've outdone him. I think you've outdone him. 481 00:26:31,040 --> 00:26:31,240 Speaker 4: Yeah. 482 00:26:31,280 --> 00:26:35,560 Speaker 1: So apparently the New York w York State Constitution does 483 00:26:35,600 --> 00:26:39,320 Speaker 1: give her some authority in this way. Although it's used right, 484 00:26:39,359 --> 00:26:42,560 Speaker 1: it's never been used successfully. I think Fdr Famous respector 485 00:26:42,600 --> 00:26:47,560 Speaker 1: of limits Arms. Yeah, he did it. He attempted it 486 00:26:47,640 --> 00:26:51,720 Speaker 1: one time. But the state constitution says the mayor. A 487 00:26:51,800 --> 00:26:54,359 Speaker 1: mayor may be removed by the governor after giving to 488 00:26:54,480 --> 00:26:57,600 Speaker 1: such officer a copy of the charges against him and 489 00:26:57,640 --> 00:27:00,320 Speaker 1: an opportunity to be heard in his defense. It is 490 00:27:00,400 --> 00:27:04,400 Speaker 1: very unclear what that due process looks like, but as usual, 491 00:27:04,800 --> 00:27:07,479 Speaker 1: as long as it's a left of center person, New 492 00:27:07,560 --> 00:27:11,160 Speaker 1: York Times is like, yeah, this is fascinating, right, it's 493 00:27:11,200 --> 00:27:13,800 Speaker 1: fascinating that she could remove him. How's she going to 494 00:27:13,920 --> 00:27:14,320 Speaker 1: do it? 495 00:27:14,560 --> 00:27:16,560 Speaker 2: How is she going to do it? So one of 496 00:27:16,600 --> 00:27:18,760 Speaker 2: the hows of how she's going to do it, she 497 00:27:18,840 --> 00:27:22,440 Speaker 2: brought in Al Sharpton yesterday to basically be like, Hey, 498 00:27:22,640 --> 00:27:24,479 Speaker 2: I know, I'm a white lady going to get rid 499 00:27:24,520 --> 00:27:26,439 Speaker 2: of a black man who is the mayor of New 500 00:27:26,520 --> 00:27:30,440 Speaker 2: York City. How do you feel about that, And so 501 00:27:30,640 --> 00:27:33,840 Speaker 2: if Al Sharpton gave her his blessing, it might be 502 00:27:33,920 --> 00:27:37,120 Speaker 2: a go. We don't know yet, but this is where 503 00:27:37,160 --> 00:27:41,480 Speaker 2: we are. And again New Yorkers are just in a bad, 504 00:27:41,520 --> 00:27:45,159 Speaker 2: bad spot here, and I really hope for that for 505 00:27:45,200 --> 00:27:48,159 Speaker 2: their sake, it all works out in their favor. But 506 00:27:49,080 --> 00:27:52,200 Speaker 2: Jamaine Williams as the possible next mayor, he, by the way, 507 00:27:52,400 --> 00:27:55,040 Speaker 2: is the guy who was for defund the police. But 508 00:27:55,119 --> 00:27:59,280 Speaker 2: he lives on a secure army base and he's cool. Yeah, 509 00:27:59,359 --> 00:28:02,080 Speaker 2: he's against real ID, but he has to show his 510 00:28:02,160 --> 00:28:06,040 Speaker 2: real ID to get on that army base. Really great guy. 511 00:28:06,960 --> 00:28:08,960 Speaker 1: I mean, So this is a dynamic we're going to 512 00:28:09,000 --> 00:28:12,480 Speaker 1: see throughout the Trump presidency. As you and I have said, 513 00:28:12,520 --> 00:28:14,200 Speaker 1: there will be good, and there will bad and be bad, 514 00:28:14,200 --> 00:28:17,360 Speaker 1: and there will be ugly. And I think the Eric 515 00:28:17,359 --> 00:28:20,600 Speaker 1: Adams thing is bad. And then the response of his 516 00:28:20,720 --> 00:28:25,000 Speaker 1: opponents is always almost always equally. 517 00:28:24,560 --> 00:28:29,000 Speaker 2: Bad, if not worse, right, Yeah, I mean, because can 518 00:28:29,040 --> 00:28:30,920 Speaker 2: Trump get rid of Kathy Hoko. 519 00:28:32,800 --> 00:28:37,119 Speaker 1: Here we go, and then Elon Musk will get rid 520 00:28:37,160 --> 00:28:38,480 Speaker 1: of Donald Trump, and then you know it. 521 00:28:38,520 --> 00:28:42,800 Speaker 2: All comes and then we really are good to go. 522 00:28:43,160 --> 00:28:44,960 Speaker 1: Yeah, yeah, then we're good we're good. 523 00:28:45,160 --> 00:28:48,920 Speaker 2: That was an abnormal ending, but okay, thank you for 524 00:28:50,160 --> 00:28:53,440 Speaker 2: it's fine. It's fine. Thanks for joining us on normally. 525 00:28:53,560 --> 00:28:57,080 Speaker 2: Normally airs Tuesdays and Thursdays, and you can subscribe anywhere 526 00:28:57,120 --> 00:28:59,040 Speaker 2: you get your podcasts to get in touch with us 527 00:28:59,040 --> 00:29:02,440 Speaker 2: at normally the pod at gmail dot com. Thanks for listening, 528 00:29:02,480 --> 00:29:05,240 Speaker 2: and when things get weird back normally why not