1 00:00:01,560 --> 00:00:05,080 Speaker 1: Hello America, and happy new Year. I'm Peter Schweitzer. That's 2 00:00:05,160 --> 00:00:07,040 Speaker 1: Eric Eggers, and we are going to be filling in 3 00:00:07,120 --> 00:00:10,320 Speaker 1: for Sean today. We have a podcast that we do 4 00:00:10,440 --> 00:00:15,160 Speaker 1: together called The Drill Down. We've written multiple books, eight 5 00:00:15,200 --> 00:00:18,079 Speaker 1: New York Times bestsellers for at number one. We do 6 00:00:18,200 --> 00:00:22,120 Speaker 1: investigative work, and we are so blessed to come and 7 00:00:22,160 --> 00:00:25,360 Speaker 1: fill in for Sean from time to time. And twenty 8 00:00:25,400 --> 00:00:29,000 Speaker 1: twenty six, we're here, and you are happy about the 9 00:00:29,040 --> 00:00:29,920 Speaker 1: new year, right. 10 00:00:29,840 --> 00:00:30,479 Speaker 2: Peter Schweitzer. 11 00:00:30,640 --> 00:00:33,479 Speaker 3: Not only are we blessed to continue to do the 12 00:00:33,560 --> 00:00:35,680 Speaker 3: very good work that we do both on our podcast, 13 00:00:35,720 --> 00:00:37,320 Speaker 3: The Drill Down, which you can find at the drill 14 00:00:37,360 --> 00:00:40,360 Speaker 3: Down dot com and at the Government Accountability Institute, the 15 00:00:40,400 --> 00:00:42,839 Speaker 3: nonprofit organization that you steer as president. 16 00:00:43,360 --> 00:00:45,160 Speaker 2: But we're blessed to just be here. Right. 17 00:00:45,240 --> 00:00:49,800 Speaker 3: It's January two, twenty twenty six, and we have survived 18 00:00:50,000 --> 00:00:52,800 Speaker 3: the year twenty twenty five, a year in which Donald 19 00:00:52,840 --> 00:00:56,920 Speaker 3: Trump became president and we were told repeatedly the end 20 00:00:57,040 --> 00:00:58,800 Speaker 3: of Western society was nigh. 21 00:00:59,000 --> 00:00:59,200 Speaker 2: Yeah. 22 00:00:59,320 --> 00:01:01,640 Speaker 1: Yeah, we remember a course election eight of twenty twenty 23 00:01:01,720 --> 00:01:04,280 Speaker 1: four and the meltdowns and the shock of a lot 24 00:01:04,319 --> 00:01:07,399 Speaker 1: of people, but throughout twenty twenty five, when Donald Trump 25 00:01:07,480 --> 00:01:11,760 Speaker 1: enacted his policies, we got a recipe, a massive recipe 26 00:01:11,959 --> 00:01:15,560 Speaker 1: of doom and gloom. So tariffs, of course, were a 27 00:01:15,600 --> 00:01:20,080 Speaker 1: big part of his initiative on the economy, and tariffs 28 00:01:20,120 --> 00:01:22,760 Speaker 1: were going to tank the economy and effectively destroy the 29 00:01:23,000 --> 00:01:26,800 Speaker 1: Western world. Here's what Warren Buffett, the famous investors said 30 00:01:27,160 --> 00:01:30,400 Speaker 1: earlier this year, earlier in the spring of twenty twenty five. 31 00:01:30,440 --> 00:01:33,600 Speaker 4: How do you think tariffs will affect the economy? 32 00:01:33,800 --> 00:01:36,800 Speaker 1: The tariffs are Actually we've got a lot of experience 33 00:01:37,040 --> 00:01:37,440 Speaker 1: with them. 34 00:01:37,520 --> 00:01:38,800 Speaker 4: They're an act of war. 35 00:01:40,200 --> 00:01:43,000 Speaker 1: Yeah, so tariffs are an active war. I didn't know that, 36 00:01:43,080 --> 00:01:45,320 Speaker 1: but apparently they are. And that's just one example of 37 00:01:45,760 --> 00:01:48,200 Speaker 1: many things that were said about Trump's tariff's policy. 38 00:01:48,240 --> 00:01:50,680 Speaker 3: Look, far be it from me to criticize Warren Buffett. 39 00:01:51,320 --> 00:01:55,880 Speaker 3: Incredibly successful and I think gets most things right except 40 00:01:55,880 --> 00:01:58,680 Speaker 3: for maybe his prediction on tariffs. And understand the social 41 00:01:58,760 --> 00:02:00,480 Speaker 3: impact that his little chuckle had the end of his 42 00:02:00,520 --> 00:02:04,920 Speaker 3: little things thought. But yeah, that would be an example 43 00:02:05,160 --> 00:02:07,640 Speaker 3: of one of the famous people who said a thing 44 00:02:07,720 --> 00:02:10,600 Speaker 3: that what didn't prove to be true about the impact 45 00:02:10,600 --> 00:02:12,560 Speaker 3: of Donald Trump and his policies and what they would 46 00:02:12,600 --> 00:02:14,600 Speaker 3: have on the United States. You follow the stock market 47 00:02:14,680 --> 00:02:17,120 Speaker 3: quite closely, it seems like we're still doing okay. 48 00:02:16,919 --> 00:02:19,560 Speaker 1: Yeah, we're doing fine. And what's interesting about this, and 49 00:02:19,600 --> 00:02:22,040 Speaker 1: there's a common pattern with all of these things where 50 00:02:22,080 --> 00:02:24,959 Speaker 1: you had these dire predictions, is nobody's saying, well, I 51 00:02:25,000 --> 00:02:28,440 Speaker 1: would prefer if the policy were slightly different. It's all 52 00:02:28,560 --> 00:02:32,160 Speaker 1: doom and gloom with Donald Trump. So on tariff policy, 53 00:02:32,200 --> 00:02:34,480 Speaker 1: we heard that in spades. You know, this was going 54 00:02:34,560 --> 00:02:37,840 Speaker 1: to be what happened in the stock market crash in 55 00:02:37,880 --> 00:02:40,799 Speaker 1: twenty twenty nine when Herbert Hoover came in and there 56 00:02:40,880 --> 00:02:42,880 Speaker 1: was the tariffs that came into place. It was going 57 00:02:42,919 --> 00:02:45,120 Speaker 1: to be a replay of that. Trump's use of the 58 00:02:45,240 --> 00:02:48,360 Speaker 1: National Guard again, the debate was not, well, we're not 59 00:02:48,400 --> 00:02:50,280 Speaker 1: sure that this is the best way to deal with 60 00:02:50,360 --> 00:02:52,279 Speaker 1: crime and disorder in our cities. 61 00:02:52,000 --> 00:02:54,040 Speaker 3: And to pause and acknowledge, hey, there are in fact 62 00:02:54,120 --> 00:02:57,799 Speaker 3: some cities where crime is a problem exactly exactly. They're like, no, 63 00:02:58,280 --> 00:03:00,720 Speaker 3: what are you talking about? What crime? And then they 64 00:03:00,720 --> 00:03:02,600 Speaker 3: bring in the troops and then we're told by Gavin 65 00:03:02,639 --> 00:03:05,880 Speaker 3: Newsom that in fact the troops are going to create 66 00:03:06,000 --> 00:03:07,240 Speaker 3: more crime, not solve it. 67 00:03:07,320 --> 00:03:09,560 Speaker 1: Yeah, that's right. In JB. Pritsker course, the governor of 68 00:03:09,600 --> 00:03:13,440 Speaker 1: Illinois said this was going to get civilians killed, like 69 00:03:13,520 --> 00:03:15,560 Speaker 1: these guardsmen were going to run around and shoot people. 70 00:03:15,600 --> 00:03:17,920 Speaker 1: And then, of course, in his most extreme form, you 71 00:03:18,000 --> 00:03:20,400 Speaker 1: had progressive saying that this was going to be in 72 00:03:20,440 --> 00:03:24,160 Speaker 1: effect a fascist takeover. This was Trump's effort to sort 73 00:03:24,200 --> 00:03:27,840 Speaker 1: of conceal and control power in the United States through 74 00:03:27,919 --> 00:03:31,240 Speaker 1: the use of the National Guard. Interesting to note, of course, 75 00:03:31,320 --> 00:03:33,919 Speaker 1: that they just announced that the National Guard is actually 76 00:03:34,040 --> 00:03:36,840 Speaker 1: leaving some cities. So those are a couple of examples. 77 00:03:36,880 --> 00:03:41,640 Speaker 1: Another one, of course, Iran, the bombing of Iran. Again, 78 00:03:41,800 --> 00:03:43,800 Speaker 1: you can have a dispute on what is the best 79 00:03:43,840 --> 00:03:46,200 Speaker 1: way to deal with Iran. I certainly think you have 80 00:03:46,280 --> 00:03:49,400 Speaker 1: to be firm and tough, But people like Tucker Carlson 81 00:03:49,480 --> 00:03:51,880 Speaker 1: were predicting that the bombing of Iran would lead to 82 00:03:51,920 --> 00:03:55,800 Speaker 1: a catastrophic, full scale World War III. It would involve 83 00:03:55,920 --> 00:03:59,320 Speaker 1: thousands of American depths, deaths, the collapse of the US 84 00:03:59,400 --> 00:04:02,440 Speaker 1: economy because gas was gonna be thirty dollars a gallon, 85 00:04:02,720 --> 00:04:05,200 Speaker 1: and it was gonna be the end of Donald Trump's presidency. 86 00:04:05,680 --> 00:04:08,400 Speaker 3: Oops, well, we're only off by decimal because it is 87 00:04:08,560 --> 00:04:12,120 Speaker 3: does start with a three, but it ends there. That's 88 00:04:12,160 --> 00:04:16,719 Speaker 3: the units digit. No, it's the hyperboles insane. And so 89 00:04:16,880 --> 00:04:18,680 Speaker 3: just the recap so far, if you're keeping track, we 90 00:04:18,680 --> 00:04:20,600 Speaker 3: were gonna be in a World War three because we're 91 00:04:20,600 --> 00:04:22,680 Speaker 3: going to bombar on. The economy is going to be 92 00:04:22,680 --> 00:04:26,320 Speaker 3: in the tank because of the tariff policies. And uh oh, 93 00:04:26,360 --> 00:04:28,240 Speaker 3: by the way, like we were going to have like 94 00:04:28,480 --> 00:04:32,279 Speaker 3: fascist takeover mildrized streets because we had deployed National Guards 95 00:04:32,320 --> 00:04:35,000 Speaker 3: troops to major cities. And quietly, many people may not 96 00:04:35,040 --> 00:04:36,560 Speaker 3: know this because it didn't get a ton of meat 97 00:04:36,560 --> 00:04:39,680 Speaker 3: attention because it doesn't fit the dominative narrative, dominant narrative 98 00:04:39,920 --> 00:04:42,320 Speaker 3: that Donald Trump is a fascist, but they did it. 99 00:04:42,320 --> 00:04:45,120 Speaker 3: I'll say, look, okay, we lost the Supreme Court decision, 100 00:04:45,240 --> 00:04:48,400 Speaker 3: so Chicago, Portland, Los Angeles, we're going to take the 101 00:04:48,440 --> 00:04:51,200 Speaker 3: troops out of there. Notice in Washington, DC, in which 102 00:04:51,240 --> 00:04:53,760 Speaker 3: he was permitted to do so, the troops were quite 103 00:04:53,760 --> 00:04:55,039 Speaker 3: successful helping produce crime. 104 00:04:55,080 --> 00:04:57,279 Speaker 1: Yeah, that's right, because Washington, DC, of course has a 105 00:04:57,320 --> 00:05:01,320 Speaker 1: special status under federal authority. But and Tucker wasn't the 106 00:05:01,360 --> 00:05:03,320 Speaker 1: only one that protected World War three. There are plenty 107 00:05:03,320 --> 00:05:05,120 Speaker 1: of Democrats, but The point is, do you see a 108 00:05:05,160 --> 00:05:10,159 Speaker 1: pattern forming here? It has been sort of outrage media 109 00:05:10,400 --> 00:05:13,120 Speaker 1: on everything that Trump has done, and none of it 110 00:05:13,120 --> 00:05:15,919 Speaker 1: has panned out. Let's go on to immigration, right. Trump 111 00:05:16,080 --> 00:05:18,839 Speaker 1: said I'm going to build a wall, I'm going to 112 00:05:18,880 --> 00:05:21,320 Speaker 1: seal the border, and we learned to deport people that 113 00:05:21,360 --> 00:05:25,040 Speaker 1: are in the country illegally. A lot of predictions that 114 00:05:25,120 --> 00:05:28,280 Speaker 1: was going to tank the economy and lead to massive problems. 115 00:05:28,520 --> 00:05:32,080 Speaker 1: Here's what Mark Cuban, the billionaire who's been wrong about 116 00:05:32,120 --> 00:05:34,960 Speaker 1: probably more things than any other billionaire I know, here's 117 00:05:35,000 --> 00:05:38,279 Speaker 1: what he said was going to happen with Donald Trump's 118 00:05:38,279 --> 00:05:39,400 Speaker 1: deportation policy. 119 00:05:39,680 --> 00:05:42,760 Speaker 5: Donald Trump has got Steven Miller who said he wants 120 00:05:42,839 --> 00:05:46,039 Speaker 5: mass deportations. I sat in front of restaurant owners and 121 00:05:46,080 --> 00:05:48,280 Speaker 5: I asked them, what would it be like if all 122 00:05:48,320 --> 00:05:49,880 Speaker 5: of a sudden you got to knock on your door 123 00:05:49,920 --> 00:05:53,000 Speaker 5: and there was somebody from Stephen Miller's squad asking you 124 00:05:53,080 --> 00:05:56,279 Speaker 5: for the names and addresses and immigration status of everybody 125 00:05:56,279 --> 00:05:59,160 Speaker 5: that works for you. That's not how you can run 126 00:05:59,279 --> 00:05:59,880 Speaker 5: a country. 127 00:06:00,480 --> 00:06:02,440 Speaker 1: Yeah, well, we have been running the country that way 128 00:06:02,480 --> 00:06:05,680 Speaker 1: for the past year, and it's been great. The economy's 129 00:06:05,720 --> 00:06:09,200 Speaker 1: doing well, the labor market is good again, more dire 130 00:06:09,240 --> 00:06:10,320 Speaker 1: predictions that didn't happen. 131 00:06:10,360 --> 00:06:12,680 Speaker 2: You know, you're absolutely right about Mark Cuban. He's wrong 132 00:06:12,800 --> 00:06:13,240 Speaker 2: so much. 133 00:06:13,279 --> 00:06:15,520 Speaker 3: He was giving that interview in fact, in support for 134 00:06:15,600 --> 00:06:18,080 Speaker 3: Kamala Harris and suggesting that she would be better for 135 00:06:18,120 --> 00:06:20,039 Speaker 3: the country. Mark Cuban's wrong so much. I think he 136 00:06:20,080 --> 00:06:22,200 Speaker 3: did support the Luca Dochs trade. In fact, I think 137 00:06:22,200 --> 00:06:25,760 Speaker 3: that's now I'm bringing him into that loop. No, and so, 138 00:06:25,920 --> 00:06:27,680 Speaker 3: just to put the meat on the bone on this 139 00:06:27,720 --> 00:06:32,599 Speaker 3: particular issue, we've had two million people Peter Schweizer self 140 00:06:32,600 --> 00:06:35,560 Speaker 3: deport this year. They up the incentive, they tried offer 141 00:06:35,600 --> 00:06:37,680 Speaker 3: three thousand dollars instead of one thousand dollars. At the 142 00:06:37,760 --> 00:06:41,560 Speaker 3: end of twenty twenty five, they've had six hundred thousand deportations, 143 00:06:41,800 --> 00:06:44,440 Speaker 3: so a little over two and a half million fewer 144 00:06:44,480 --> 00:06:47,080 Speaker 3: people in this country who weren't supposed to be here. 145 00:06:47,360 --> 00:06:49,960 Speaker 3: But the fact that he had two million self deportations, 146 00:06:49,960 --> 00:06:51,880 Speaker 3: I think is as a stat no one really talks about. 147 00:06:51,880 --> 00:06:53,960 Speaker 3: It should be a credit to the Trump administration. And 148 00:06:53,960 --> 00:06:56,919 Speaker 3: by the way, Barack Obama used to be called the 149 00:06:56,960 --> 00:06:59,680 Speaker 3: deporter in chief. He was sending on average about four 150 00:06:59,760 --> 00:07:03,600 Speaker 3: hundreundred thousand people out through just deportations, not the self deportation. 151 00:07:03,880 --> 00:07:07,000 Speaker 3: Deported over three million people during his eight years as presidency. 152 00:07:07,080 --> 00:07:09,760 Speaker 3: So all Donald Trump has done is continue a policy, 153 00:07:09,880 --> 00:07:12,440 Speaker 3: maybe at a higher level than something Obama did. 154 00:07:12,520 --> 00:07:15,560 Speaker 1: Yeah, there's clearly a pattern here, right, and that's the hyperbole, 155 00:07:15,760 --> 00:07:18,360 Speaker 1: the threats Donald Trump is the devil, Donald Trump is 156 00:07:18,400 --> 00:07:21,840 Speaker 1: going to cause all these problems. Turns out they're not true. 157 00:07:22,000 --> 00:07:25,160 Speaker 1: So you're right, immigration policy is working. He's doing what 158 00:07:25,200 --> 00:07:26,600 Speaker 1: he said he was going to do. You've had two 159 00:07:26,600 --> 00:07:32,800 Speaker 1: million self deportations, six hundred thousand deportations by of federal authorities. 160 00:07:33,440 --> 00:07:36,760 Speaker 1: Look at what bombing Iran did. Didn't lead to World 161 00:07:36,800 --> 00:07:39,600 Speaker 1: War three. It led to a situation where we actually 162 00:07:39,640 --> 00:07:42,680 Speaker 1: now have a peace, relatively speaking, the Middle East and 163 00:07:42,720 --> 00:07:45,960 Speaker 1: a chance for real change. There's massive protests that have 164 00:07:46,040 --> 00:07:49,720 Speaker 1: broken out in Iran because the economy is in the toilet, 165 00:07:50,320 --> 00:07:53,600 Speaker 1: it's in a terrible state, and you have people tens 166 00:07:53,640 --> 00:07:56,880 Speaker 1: of thousands of people chanting death to the dictator on 167 00:07:56,920 --> 00:08:01,840 Speaker 1: the streets of Iran. So those protections were totally wrong. 168 00:08:02,160 --> 00:08:04,800 Speaker 1: We got crime down in cities because of what we 169 00:08:04,840 --> 00:08:08,000 Speaker 1: did with the National guards. So look at the tariffs 170 00:08:08,240 --> 00:08:12,280 Speaker 1: we got two hundred billion dollars in tariff revenue, so 171 00:08:12,320 --> 00:08:16,160 Speaker 1: the deficit is actually coming down a remarkable record in 172 00:08:16,240 --> 00:08:18,600 Speaker 1: contrast to what we were told was going to be 173 00:08:18,680 --> 00:08:21,320 Speaker 1: a disastrous chaot, a terrible twenty twenty five. 174 00:08:21,400 --> 00:08:23,840 Speaker 3: So then here's the question, because you know, we are 175 00:08:23,960 --> 00:08:26,280 Speaker 3: seeing there are some challenges and the real problems. You've 176 00:08:26,280 --> 00:08:29,640 Speaker 3: heard audio from the beginning of the intro here, which 177 00:08:29,640 --> 00:08:31,520 Speaker 3: they do a great job putting that together. But New 178 00:08:31,600 --> 00:08:35,079 Speaker 3: York City has a new mayor. They have a Democrat socialist, 179 00:08:35,320 --> 00:08:37,520 Speaker 3: and so a lot of people are suggesting that that 180 00:08:37,559 --> 00:08:40,040 Speaker 3: will not be great for the future of the greatest 181 00:08:40,040 --> 00:08:42,160 Speaker 3: city in the world. We're going to talk to Carol 182 00:08:42,160 --> 00:08:44,280 Speaker 3: Markowitz about that actually at the bottom of this hour 183 00:08:44,320 --> 00:08:45,920 Speaker 3: and just kind of get some insights and boots on 184 00:08:45,920 --> 00:08:48,160 Speaker 3: the ground. How bad is New York City? How bad 185 00:08:48,240 --> 00:08:51,480 Speaker 3: will it be? But if the larger theme of this 186 00:08:51,559 --> 00:08:54,000 Speaker 3: segment that we've done is a lot of times these 187 00:08:54,080 --> 00:08:57,000 Speaker 3: dire predictions are wrong, but not when we make them 188 00:08:57,000 --> 00:08:58,880 Speaker 3: about Mom. Donni right that he's going to be terrible. 189 00:08:59,280 --> 00:09:01,240 Speaker 1: Well, it's going to being to see right what he does, 190 00:09:01,240 --> 00:09:05,240 Speaker 1: and we're gonna look at later in the broadcast at 191 00:09:05,480 --> 00:09:08,640 Speaker 1: his relationship with Bernie Sanders, because Bernie Sanders was mayor 192 00:09:08,720 --> 00:09:12,920 Speaker 1: of Burlington, Vermont. Bernie Sanders is his mentor and his icon, 193 00:09:12,920 --> 00:09:16,760 Speaker 1: according to Mam Donnie. And when Bernie Sanders became mayor 194 00:09:16,880 --> 00:09:20,760 Speaker 1: of Burlington, Vermont, that's when he started to get rich. 195 00:09:21,520 --> 00:09:23,760 Speaker 1: So it's going to be interesting to see what Mumdonnie does. 196 00:09:24,200 --> 00:09:26,640 Speaker 1: I think that the lesson that we all have to 197 00:09:26,720 --> 00:09:30,880 Speaker 1: learn is looking at how we consume information, what we believe, 198 00:09:30,920 --> 00:09:35,040 Speaker 1: what we listen to. If people are wrong consistently, if 199 00:09:35,040 --> 00:09:38,440 Speaker 1: they're wrong in a massive way, maybe we ought to 200 00:09:38,480 --> 00:09:40,679 Speaker 1: not listen to them as much anymore. I mean, if 201 00:09:40,679 --> 00:09:43,280 Speaker 1: they're making predictions we're gonna have World War three, the 202 00:09:43,320 --> 00:09:46,040 Speaker 1: economy is going to shut down, that food's going to 203 00:09:46,080 --> 00:09:48,600 Speaker 1: be rotting in the fields because there's nobody to pick it, 204 00:09:49,040 --> 00:09:51,520 Speaker 1: and that turns out not to be true, not even 205 00:09:51,600 --> 00:09:54,920 Speaker 1: remotely true. Perhaps those people don't deserve the attention of 206 00:09:54,960 --> 00:09:55,400 Speaker 1: our ears. 207 00:09:55,440 --> 00:09:58,280 Speaker 3: Well, remember we were told among the predictions, not just 208 00:09:58,320 --> 00:10:02,680 Speaker 3: about immigration and the tariffs and bombing Iran, all that stuff, 209 00:10:02,760 --> 00:10:04,800 Speaker 3: we were told by people like Mark Cuban and by 210 00:10:04,880 --> 00:10:08,200 Speaker 3: Kamala Harrison twenty twenty four that no less than democracy 211 00:10:08,360 --> 00:10:10,400 Speaker 3: was on the ballot, Peter Schweizer, And of course the 212 00:10:10,440 --> 00:10:13,240 Speaker 3: irony was that Donald Trump is the one person who 213 00:10:13,360 --> 00:10:16,240 Speaker 3: we had to choose from president actually won his party's 214 00:10:16,240 --> 00:10:19,400 Speaker 3: political primary, which casts you know, votes were cast. But 215 00:10:19,440 --> 00:10:21,280 Speaker 3: here we are on twenty twenty six. Maybe we should 216 00:10:21,280 --> 00:10:23,160 Speaker 3: just take a moment toast the fact that democracy still 217 00:10:23,200 --> 00:10:24,840 Speaker 3: seems to be at least somewhat alive. 218 00:10:25,520 --> 00:10:27,160 Speaker 2: People. They're still holding elections. 219 00:10:27,160 --> 00:10:29,679 Speaker 1: It's hanging on. It's hanging on by a threat. 220 00:10:29,720 --> 00:10:31,960 Speaker 2: The troops have gone, the ballot boxes are open, like 221 00:10:32,000 --> 00:10:33,080 Speaker 2: we made it. We're okay. 222 00:10:33,240 --> 00:10:36,280 Speaker 1: Yeah, well, well I think you're right, and I'm going 223 00:10:36,360 --> 00:10:39,080 Speaker 1: to predict that Donald Trump is actually going to leave 224 00:10:39,120 --> 00:10:41,520 Speaker 1: the White House under his own power. He's not going 225 00:10:41,559 --> 00:10:43,920 Speaker 1: to try to hold it like so many people predicted, 226 00:10:44,720 --> 00:10:46,760 Speaker 1: and it's going to be a great twenty twenty six. 227 00:10:47,280 --> 00:10:49,360 Speaker 1: We want to hear what your thoughts aren't about the 228 00:10:49,440 --> 00:10:52,600 Speaker 1: year ahead, not just politically but personally. What are the 229 00:10:52,600 --> 00:10:55,880 Speaker 1: things that you were looking forward to? Are there commitments 230 00:10:55,880 --> 00:10:59,240 Speaker 1: you're making personally? Resolutions for the new year? Call us 231 00:10:59,240 --> 00:11:01,360 Speaker 1: at weren't one hundred nine four one seven three two 232 00:11:01,440 --> 00:11:04,040 Speaker 1: six winn aighthundred ninety four one seven three, two six, 233 00:11:04,559 --> 00:11:06,760 Speaker 1: You made any New Year's resolutions, at least ones you 234 00:11:06,760 --> 00:11:08,240 Speaker 1: want to share with millions of people. 235 00:11:08,760 --> 00:11:10,679 Speaker 3: Absolutely, I mean I come on national radia to be 236 00:11:10,720 --> 00:11:13,640 Speaker 3: vulnera about my own personal life and the inherent problems 237 00:11:13,640 --> 00:11:16,320 Speaker 3: that are in it. Actually, later I will read something 238 00:11:16,360 --> 00:11:19,080 Speaker 3: because to your point, I think one thing that we 239 00:11:19,200 --> 00:11:22,480 Speaker 3: need to continue to be just mindful of is the 240 00:11:22,520 --> 00:11:25,920 Speaker 3: information we consume and who's creating that information. As a 241 00:11:25,920 --> 00:11:27,480 Speaker 3: story in the five o'clock I or you're not gonna 242 00:11:27,480 --> 00:11:31,320 Speaker 3: want to miss about AI generated content being directed at 243 00:11:31,400 --> 00:11:34,640 Speaker 3: kids on YouTube and how much money people are making 244 00:11:34,679 --> 00:11:37,400 Speaker 3: off of it, people who are not credential to be you know, 245 00:11:37,400 --> 00:11:39,280 Speaker 3: we're not talking about like a mister beast. We're talking 246 00:11:39,280 --> 00:11:43,200 Speaker 3: about people from these foreign countries that create AI content 247 00:11:43,240 --> 00:11:45,920 Speaker 3: and it directed at kids. They're making money and that 248 00:11:46,080 --> 00:11:48,360 Speaker 3: just as a parent you have to be incredibly mindful. 249 00:11:48,360 --> 00:11:49,959 Speaker 3: But we've got a lot of very important stories to 250 00:11:50,000 --> 00:11:52,120 Speaker 3: talk about today. We love getting to fill in for Sean. 251 00:11:52,160 --> 00:11:54,200 Speaker 3: We've got Carol Markowitz, as we said, talk about the 252 00:11:54,320 --> 00:11:57,480 Speaker 3: mom Donnie era in New York City. At four o'clock, 253 00:11:57,480 --> 00:12:00,160 Speaker 3: we're gonna talk about former Congressman Jason Chafitz about what 254 00:12:00,240 --> 00:12:01,599 Speaker 3: to expect in Washington, d C. 255 00:12:01,840 --> 00:12:02,320 Speaker 2: Congress. 256 00:12:02,440 --> 00:12:06,040 Speaker 3: Allegedly dysfunctional people are leaving, but there's still work to 257 00:12:06,040 --> 00:12:06,840 Speaker 3: be done, right. 258 00:12:07,000 --> 00:12:09,080 Speaker 1: Yeah, there's work still to be done, and there's some 259 00:12:09,160 --> 00:12:11,680 Speaker 1: encouraging things, but also there's a lot of chaos. So 260 00:12:11,720 --> 00:12:13,520 Speaker 1: it's gonna be interested to get his insights. We're also 261 00:12:13,520 --> 00:12:16,760 Speaker 1: going to have the former governor of Minnesota, Tim Polente 262 00:12:17,080 --> 00:12:22,280 Speaker 1: to come on and talk about the massive, widespread fraud 263 00:12:22,440 --> 00:12:24,520 Speaker 1: that is curring in Minnesota. And I think even the 264 00:12:24,559 --> 00:12:28,280 Speaker 1: bigger story, which is the effort by the political establishment, 265 00:12:28,320 --> 00:12:30,400 Speaker 1: Governor Wallis and others to cover it up. 266 00:12:30,720 --> 00:12:33,280 Speaker 3: Absolutely. You know, you've seen the video, You've seen Nick Shirley. 267 00:12:33,520 --> 00:12:36,280 Speaker 3: There's a lot of really weird stories about this Minnesota. 268 00:12:36,320 --> 00:12:38,400 Speaker 3: But I think the biggest thing that people aren't talking 269 00:12:38,400 --> 00:12:40,800 Speaker 3: about that I hope we can talk to former Governor 270 00:12:40,840 --> 00:12:43,240 Speaker 3: Tim Paulenti about is the fact that he's the last 271 00:12:43,320 --> 00:12:46,600 Speaker 3: Republican to win statewide election in Minnesota. And just you know, 272 00:12:47,000 --> 00:12:50,520 Speaker 3: consider this that for the last twenty years, only one 273 00:12:50,520 --> 00:12:52,560 Speaker 3: party's been in charge in the state of Minnesota, and 274 00:12:52,600 --> 00:12:54,640 Speaker 3: for the last fifteen of those years, the person who's 275 00:12:54,679 --> 00:12:56,440 Speaker 3: been in charge of that party, the person who's been 276 00:12:56,440 --> 00:12:59,440 Speaker 3: in charge the Democrat Party in Minnesota is now in 277 00:12:59,520 --> 00:13:02,680 Speaker 3: charge of the Democrat Party in the country. Ken Martin 278 00:13:02,720 --> 00:13:05,480 Speaker 3: is the head of DNC. So is the model that 279 00:13:05,600 --> 00:13:08,360 Speaker 3: was created in which you have these refugees, these migrants, 280 00:13:08,360 --> 00:13:10,560 Speaker 3: and we're funneling all this welfare money to them, and 281 00:13:10,559 --> 00:13:12,920 Speaker 3: then that money finds its way back into the coffers 282 00:13:12,920 --> 00:13:15,080 Speaker 3: of these politicians in one way or another. Is that 283 00:13:15,120 --> 00:13:18,200 Speaker 3: a model that are attempting to replicate throughout the country. And 284 00:13:18,440 --> 00:13:21,040 Speaker 3: I think it's a very important story that suggests what, 285 00:13:21,360 --> 00:13:23,160 Speaker 3: at least on some level, the left wants to do 286 00:13:23,520 --> 00:13:24,200 Speaker 3: to the country. 287 00:13:24,240 --> 00:13:27,200 Speaker 1: And what you're saying is it worked in Minnesota, absolutely, 288 00:13:27,240 --> 00:13:30,680 Speaker 1: so it could potentially work nationally because you do see 289 00:13:30,679 --> 00:13:34,320 Speaker 1: the pattern of this massive fraud. I mean, fraud happens everywhere, 290 00:13:34,360 --> 00:13:36,320 Speaker 1: but you see it kind of on a massive scale 291 00:13:36,360 --> 00:13:40,360 Speaker 1: in place like California and Illinois because the political leadership 292 00:13:40,440 --> 00:13:43,040 Speaker 1: does not want to investigate it. We're going to be 293 00:13:43,120 --> 00:13:45,439 Speaker 1: back after this break and we're going to talk about 294 00:13:45,520 --> 00:13:49,320 Speaker 1: Donald Trump's New Year's Resolution. We'll be right back. 295 00:13:54,760 --> 00:13:57,160 Speaker 3: Hey, It's Eric Eggers and Peter Schweitzer. We're filling in 296 00:13:57,200 --> 00:13:59,839 Speaker 3: for Sean Handy. Here on January two, Happy New Year, 297 00:13:59,840 --> 00:14:02,800 Speaker 3: to thank you for spending your Friday afternoon with us, Peter. 298 00:14:02,920 --> 00:14:05,319 Speaker 3: It is the day after the New Year, and a 299 00:14:05,360 --> 00:14:08,280 Speaker 3: lot of people like to make New Year's resolutions. Donald Trump, 300 00:14:08,320 --> 00:14:11,959 Speaker 3: on New Year's Eve was asked what his was peace. 301 00:14:14,480 --> 00:14:18,480 Speaker 3: That's peace on earth. That's the most chaotic possible sound 302 00:14:18,480 --> 00:14:20,560 Speaker 3: you've ever heard for someone saying he wishes for peace 303 00:14:20,640 --> 00:14:23,280 Speaker 3: on earth. Peter Schwiser, what do you think about the 304 00:14:23,320 --> 00:14:25,480 Speaker 3: fact that he's trying to get peace on earth? 305 00:14:25,600 --> 00:14:28,160 Speaker 1: Well, I think Trump doesn't get enough credit for what 306 00:14:28,200 --> 00:14:30,880 Speaker 1: he does in terms of foreign policy. And you know, 307 00:14:30,960 --> 00:14:34,040 Speaker 1: he is somebody who's America first, but he's not America only. 308 00:14:34,200 --> 00:14:36,200 Speaker 1: He's worried about things that are going on in the world. 309 00:14:36,280 --> 00:14:39,160 Speaker 1: And look when he was saying, I want peace in 310 00:14:39,200 --> 00:14:42,480 Speaker 1: the world. That's my New Year's resolution. Vladimir Putin had 311 00:14:42,480 --> 00:14:45,080 Speaker 1: a different speech that he gave, and his speech he 312 00:14:45,200 --> 00:14:48,480 Speaker 1: talked about his defiance of the West, the fact that 313 00:14:48,520 --> 00:14:52,600 Speaker 1: he was going to guarantee the integrity, security, and sovereignty 314 00:14:52,800 --> 00:14:56,200 Speaker 1: of the Fatherland, and he talked about Ukraine and continuing 315 00:14:56,240 --> 00:14:58,960 Speaker 1: the escalation of the warfare there. You're talking about a 316 00:14:59,000 --> 00:15:01,640 Speaker 1: million people that Haven in that battle already, Trump is 317 00:15:01,680 --> 00:15:05,480 Speaker 1: trying to fix that. China, you had China's President Xi, 318 00:15:05,880 --> 00:15:08,720 Speaker 1: who also had in the year's address, was not Peace 319 00:15:08,760 --> 00:15:10,720 Speaker 1: on Earth was not what he was focused on. He 320 00:15:10,840 --> 00:15:15,480 Speaker 1: was vowing to reunify China and Taiwan in his annual speech. 321 00:15:16,200 --> 00:15:18,520 Speaker 1: And then, of course you have all the military operations 322 00:15:18,520 --> 00:15:21,480 Speaker 1: that are taking place around Taiwan. The other thing that's 323 00:15:21,520 --> 00:15:24,120 Speaker 1: going on is in Iran. You have this uprising that 324 00:15:24,200 --> 00:15:27,400 Speaker 1: is occurring that the media has ignored. They've they've shut 325 00:15:27,440 --> 00:15:31,640 Speaker 1: down twenty one provincial governments. Protests have broken up around Iran, 326 00:15:31,720 --> 00:15:34,920 Speaker 1: and they're calling for death to Komani. So hopefully he's 327 00:15:34,920 --> 00:15:36,520 Speaker 1: going to succeed, but huge. 328 00:15:36,440 --> 00:15:40,160 Speaker 3: Challenges, massive challenge. He's not the only one facing challenges. 329 00:15:40,240 --> 00:15:42,960 Speaker 3: New York City's facing challenges. They've got a Democrat socialist 330 00:15:42,960 --> 00:15:44,480 Speaker 3: in charge of that city. We're going to talk to 331 00:15:44,520 --> 00:15:47,400 Speaker 3: Carol Markowitz, New York Post columnists about what the future 332 00:15:47,480 --> 00:15:50,160 Speaker 3: holds under a mom Done administration. That's next. He's Peter 333 00:15:50,200 --> 00:15:52,200 Speaker 3: Schweizer America Eggers. We're in for Sean Handy. 334 00:15:52,360 --> 00:15:52,920 Speaker 2: Be right back. 335 00:15:53,200 --> 00:15:55,440 Speaker 1: Hey, It's Peter Schweizer and Eric Eggers. We are filling 336 00:15:55,480 --> 00:15:57,600 Speaker 1: in for Shawn. Happy New Year to you. Join the 337 00:15:57,600 --> 00:16:00,960 Speaker 1: Conversation one hundred nine to four one seven, three two six. 338 00:16:01,040 --> 00:16:05,080 Speaker 1: Also consider subscribing to our podcast, The Drill Down. So 339 00:16:05,280 --> 00:16:07,880 Speaker 1: New York City has a new mayor. Things off to 340 00:16:08,080 --> 00:16:10,760 Speaker 1: kind of a rocky start. The New York Post reporting 341 00:16:10,800 --> 00:16:14,800 Speaker 1: that the inauguration block party, it was called the Inauguration 342 00:16:14,960 --> 00:16:19,000 Speaker 1: for a New Era block Party by macdonnie's staff, was 343 00:16:19,040 --> 00:16:23,080 Speaker 1: a dismal failure. It was a bust. Apparently, people showed 344 00:16:23,160 --> 00:16:25,040 Speaker 1: up by the thousands. They were told to get there 345 00:16:25,040 --> 00:16:27,640 Speaker 1: by eleven for the event to start at one. It 346 00:16:27,720 --> 00:16:31,360 Speaker 1: started half an hour late. No bathrooms and no food. 347 00:16:32,000 --> 00:16:35,360 Speaker 1: People not particularly happy about that. But the problems are 348 00:16:35,440 --> 00:16:39,240 Speaker 1: likely to get larger than just this terrible rollout of 349 00:16:39,280 --> 00:16:40,000 Speaker 1: the block party. 350 00:16:40,120 --> 00:16:42,600 Speaker 3: Not a good look if the first event you hold 351 00:16:42,600 --> 00:16:46,920 Speaker 3: as a Democrat socialist is no access to public facilities 352 00:16:47,160 --> 00:16:48,040 Speaker 3: and no food. 353 00:16:49,360 --> 00:16:52,440 Speaker 1: Get used to it, right. 354 00:16:54,240 --> 00:16:56,600 Speaker 3: From the people who brought you no food at the 355 00:16:56,680 --> 00:16:59,440 Speaker 3: rally comes, We're gonna now in charge of the buses exactly. 356 00:16:59,560 --> 00:17:01,800 Speaker 1: Well, we've got a great guest that's going to be 357 00:17:01,880 --> 00:17:04,439 Speaker 1: joining us, Carol Markowitz. He's a calumnist for The New 358 00:17:04,520 --> 00:17:07,880 Speaker 1: York Post. One of my favorite writers, and she is 359 00:17:08,160 --> 00:17:10,719 Speaker 1: I think a New York refugee. She lived in New 360 00:17:10,760 --> 00:17:13,840 Speaker 1: York now has moved down to Florida. Happy New York, Carol, 361 00:17:13,880 --> 00:17:15,080 Speaker 1: thanks so much for joining us. 362 00:17:15,680 --> 00:17:17,639 Speaker 4: Hi, Peter and Eric, thank you so much for having me. 363 00:17:18,320 --> 00:17:21,280 Speaker 1: So your take on Mumdannie Is it going to be 364 00:17:21,320 --> 00:17:24,240 Speaker 1: as bad as people are predicting or do you think 365 00:17:24,280 --> 00:17:27,320 Speaker 1: that he's going to kind of moderate a little bit? 366 00:17:27,320 --> 00:17:28,080 Speaker 1: What are your thoughts? 367 00:17:28,600 --> 00:17:31,639 Speaker 4: I interesting because I am somewhere in between, not because 368 00:17:31,640 --> 00:17:34,320 Speaker 4: I think he's going to moderate at all, but because 369 00:17:34,480 --> 00:17:37,479 Speaker 4: I think he's going to be unable to do some 370 00:17:37,520 --> 00:17:39,600 Speaker 4: of the things that he says he wants to do. 371 00:17:40,080 --> 00:17:42,760 Speaker 4: So free busses, for example, which sound like a great 372 00:17:42,760 --> 00:17:47,720 Speaker 4: idea in theory, but in practice would be basically homeless 373 00:17:47,720 --> 00:17:52,640 Speaker 4: shelters on wheels, and you know, drugs attic locations on wheels. 374 00:17:52,720 --> 00:17:56,800 Speaker 4: And so the idea of doing that was something that 375 00:17:56,880 --> 00:18:00,240 Speaker 4: he ran on, but in actuality to do that, you 376 00:18:00,280 --> 00:18:02,520 Speaker 4: need the Governor of New York to raise taxes in 377 00:18:02,600 --> 00:18:05,359 Speaker 4: order to accomplish that, and Governor Kathy Hochel has no 378 00:18:05,440 --> 00:18:08,639 Speaker 4: interest in doing that in her own election year. So 379 00:18:08,800 --> 00:18:12,440 Speaker 4: I think he's going to be stymied by the realities 380 00:18:12,440 --> 00:18:15,280 Speaker 4: on the ground. That still means he will be able 381 00:18:15,280 --> 00:18:17,679 Speaker 4: to do a lot of damage. Build A Blasio, the 382 00:18:17,760 --> 00:18:20,520 Speaker 4: last socialist mayor, He did a lot of damage to 383 00:18:20,520 --> 00:18:24,160 Speaker 4: the city. Today is actually my four year anniversary of 384 00:18:24,240 --> 00:18:27,240 Speaker 4: living in Florida, being a Floridian. I feel like a 385 00:18:27,280 --> 00:18:29,480 Speaker 4: genius every single day. But we got out because of 386 00:18:29,480 --> 00:18:33,639 Speaker 4: build A Blavio's policies, and they were terrible and really 387 00:18:33,760 --> 00:18:36,399 Speaker 4: just He did a lot of damage to the city. 388 00:18:36,440 --> 00:18:39,320 Speaker 4: He undid so much good that had preceded him, and 389 00:18:39,480 --> 00:18:41,000 Speaker 4: New York hasn't recovered from that. 390 00:18:41,720 --> 00:18:42,720 Speaker 2: It's absolutely true. 391 00:18:42,760 --> 00:18:44,840 Speaker 3: It's you know, on some level that there's a spirit 392 00:18:44,880 --> 00:18:47,520 Speaker 3: of New Yorkers, which I think embodies the spirit of America, 393 00:18:47,520 --> 00:18:49,959 Speaker 3: and we like, we like to fight, we like the energy. 394 00:18:50,600 --> 00:18:53,600 Speaker 3: But when you kind of combine a cultural wokeness with 395 00:18:54,000 --> 00:18:56,600 Speaker 3: this socialist that kind of seems to work against these 396 00:18:56,640 --> 00:19:00,160 Speaker 3: capital initiatives in spirit, it seems like a bad recipe. 397 00:19:00,200 --> 00:19:02,520 Speaker 3: It also seems, you know, for as much as Donald 398 00:19:02,560 --> 00:19:06,000 Speaker 3: Trump gets accused of being a racist and like signaling 399 00:19:06,119 --> 00:19:09,080 Speaker 3: to like the worst elements of society, Mom Donnie has 400 00:19:09,160 --> 00:19:14,320 Speaker 3: done some dog whistly things that seem to be anti Semitic, correct, Yeah. 401 00:19:14,040 --> 00:19:16,639 Speaker 4: Yeah, oh absolutely. I mean just you know, his first 402 00:19:16,760 --> 00:19:20,879 Speaker 4: orders of business were things that you know, Jews considered 403 00:19:21,280 --> 00:19:25,720 Speaker 4: protections that were in place, and anti Semitic attacks on 404 00:19:25,840 --> 00:19:28,840 Speaker 4: Jews are at an all time high in New York City, 405 00:19:28,920 --> 00:19:33,359 Speaker 4: specifically Brooklyn is that the capital of actual attacks, actual 406 00:19:33,440 --> 00:19:37,800 Speaker 4: physical attacks on Jews in the country. And so I 407 00:19:37,840 --> 00:19:40,520 Speaker 4: think that there's been so much dog whistling. He keeps 408 00:19:40,920 --> 00:19:46,680 Speaker 4: having these little moments where he can make himself clearer 409 00:19:46,920 --> 00:19:51,720 Speaker 4: or not hire people who have extremely questionable things in 410 00:19:51,760 --> 00:19:54,200 Speaker 4: their past, but he hasn't done that, and I think 411 00:19:54,240 --> 00:19:56,760 Speaker 4: that Jews of New York are bracing for the worst 412 00:19:56,800 --> 00:19:58,720 Speaker 4: with him, and I think they should be. I think 413 00:19:58,720 --> 00:20:01,840 Speaker 4: they're in a situation where they're incapable of protecting themselves. 414 00:20:01,880 --> 00:20:04,840 Speaker 4: New York has very strict anti gun laws, so they 415 00:20:04,960 --> 00:20:08,040 Speaker 4: cannot defend themselves, and they have a mayor now who 416 00:20:08,040 --> 00:20:10,720 Speaker 4: has no interest in defending them or no interest in 417 00:20:10,760 --> 00:20:13,040 Speaker 4: standing up to the people who would harm them. So 418 00:20:13,600 --> 00:20:15,600 Speaker 4: it is a really tough time for the Jews of 419 00:20:15,600 --> 00:20:17,480 Speaker 4: New York City. I would say to a lot of them, 420 00:20:17,840 --> 00:20:20,080 Speaker 4: get out if you can, really, And I have family 421 00:20:20,119 --> 00:20:22,200 Speaker 4: in New York I root for New York. I want 422 00:20:22,200 --> 00:20:24,960 Speaker 4: things to turn around, but I don't see things getting better. 423 00:20:24,800 --> 00:20:28,160 Speaker 1: For a while. Yeah, Carol, it's interesting when you talk 424 00:20:28,200 --> 00:20:30,280 Speaker 1: about him getting rid as some of the protections for 425 00:20:30,440 --> 00:20:33,160 Speaker 1: the Jewish community. This is the same guy who's talked 426 00:20:33,160 --> 00:20:36,880 Speaker 1: about quote unquote microaggressions like verbal things that are said. 427 00:20:37,200 --> 00:20:40,879 Speaker 1: You're actually talking about physical attacks in this particular case. So, 428 00:20:41,240 --> 00:20:43,280 Speaker 1: you know, here's the question. I mean, the fear that 429 00:20:43,480 --> 00:20:47,920 Speaker 1: I always have when a social democrat assumes the position 430 00:20:47,960 --> 00:20:51,080 Speaker 1: of power, is they know how to effectively use the 431 00:20:51,119 --> 00:20:55,280 Speaker 1: machinery of government to stay in power. So, as a 432 00:20:55,640 --> 00:20:58,000 Speaker 1: New Yorker, as somebody who has family there, you write 433 00:20:58,000 --> 00:21:00,840 Speaker 1: for the New York Post, does this represent a sea 434 00:21:01,000 --> 00:21:02,919 Speaker 1: change in New York? In other words, is there going 435 00:21:02,960 --> 00:21:04,760 Speaker 1: to be a chance to go back or do you 436 00:21:04,800 --> 00:21:06,960 Speaker 1: think he's going to spend so much time and energy 437 00:21:07,280 --> 00:21:11,840 Speaker 1: building up the political infrastructure for himself and the same 438 00:21:11,920 --> 00:21:12,840 Speaker 1: kind of stay in power. 439 00:21:13,800 --> 00:21:17,560 Speaker 4: Yeah, it's definitely possible. You know, I think that New 440 00:21:17,640 --> 00:21:20,080 Speaker 4: York is a special place, I really do. I think 441 00:21:20,359 --> 00:21:23,359 Speaker 4: it has a lot of things that other cities just 442 00:21:23,400 --> 00:21:28,080 Speaker 4: don't have. It's sort of the city that accomplishes most 443 00:21:28,359 --> 00:21:31,040 Speaker 4: in the country, and the fact is that it's on 444 00:21:31,080 --> 00:21:33,600 Speaker 4: the decline. It has been for a while now. So 445 00:21:34,000 --> 00:21:36,439 Speaker 4: is he going to be able to use the mechanisms 446 00:21:36,440 --> 00:21:39,600 Speaker 4: of power to keep his own people in power. I'm 447 00:21:39,600 --> 00:21:41,800 Speaker 4: sure he will be. I think that they're in a 448 00:21:42,000 --> 00:21:44,959 Speaker 4: bad place and it's going to take a lot to recover. 449 00:21:45,280 --> 00:21:46,639 Speaker 4: One thing that I like to say is, you know, 450 00:21:47,080 --> 00:21:50,720 Speaker 4: bold Blasio didn't undo it overnight. He actually, for his 451 00:21:50,800 --> 00:21:53,840 Speaker 4: first term was able to ride on the accomplishments of 452 00:21:53,880 --> 00:21:57,280 Speaker 4: Mike Bloomberg and Rudy Giuliani. And it took a while 453 00:21:57,400 --> 00:22:01,080 Speaker 4: to undo fifteen years of good police for example. It 454 00:22:01,119 --> 00:22:04,800 Speaker 4: wasn't an overnight thing. So I think Mamdannie is heading 455 00:22:04,800 --> 00:22:08,120 Speaker 4: in that very same direction. I don't know how much 456 00:22:08,160 --> 00:22:10,600 Speaker 4: worse it could get in New York in terms of 457 00:22:10,680 --> 00:22:14,960 Speaker 4: like people not being held accountable for various crimes, or 458 00:22:15,280 --> 00:22:18,960 Speaker 4: the fact that every single Duyne read or grocery store 459 00:22:19,000 --> 00:22:21,240 Speaker 4: has to lock up their products. I mean, all of 460 00:22:21,240 --> 00:22:24,080 Speaker 4: that is makes it a really challenging place to live. 461 00:22:24,240 --> 00:22:29,359 Speaker 4: So I hope that he's able to or not able 462 00:22:29,359 --> 00:22:31,600 Speaker 4: to succeed in doing the kind of things that he 463 00:22:31,640 --> 00:22:34,439 Speaker 4: wants to do. But he really did get elected with 464 00:22:34,480 --> 00:22:37,120 Speaker 4: the majority of New Yorkers saying we want this, so 465 00:22:37,280 --> 00:22:38,000 Speaker 4: we'll see. 466 00:22:38,320 --> 00:22:40,480 Speaker 3: So let me ask you about that, because do you 467 00:22:40,600 --> 00:22:42,880 Speaker 3: think the majority of New Yorker said we want this 468 00:22:43,200 --> 00:22:44,960 Speaker 3: or do you think the majority of New Yorkers said 469 00:22:45,000 --> 00:22:47,480 Speaker 3: we don't want that? Like you just said, how much 470 00:22:47,520 --> 00:22:50,960 Speaker 3: worse can it get? If it's a super expensive and 471 00:22:51,040 --> 00:22:54,399 Speaker 3: crime ridden city. You don't fault New Yorkers for saying 472 00:22:54,560 --> 00:22:58,240 Speaker 3: please anything. And he campaigned on this pledge to we're 473 00:22:58,280 --> 00:23:00,000 Speaker 3: going to make the falafels cheaper because we're going to 474 00:23:00,200 --> 00:23:02,520 Speaker 3: get rid of regulations and we're gonna you know, like 475 00:23:02,560 --> 00:23:04,439 Speaker 3: in the buses and the daycare is going to be free. 476 00:23:05,520 --> 00:23:08,880 Speaker 3: So if you is there anything he can do, because 477 00:23:08,880 --> 00:23:10,920 Speaker 3: obviously he's not gonna to raise taxes, Hope was not 478 00:23:10,960 --> 00:23:13,920 Speaker 3: going to work with him. What can he do from 479 00:23:13,960 --> 00:23:16,040 Speaker 3: what your understanding is, and what's the thing that's most 480 00:23:16,080 --> 00:23:17,720 Speaker 3: concerning about what is on the table. 481 00:23:19,040 --> 00:23:21,399 Speaker 4: So many things are concerning, but you're absolutely right. New 482 00:23:21,480 --> 00:23:24,600 Speaker 4: Yorkers said, first of all, they said no to Andrew Cuomo, 483 00:23:24,760 --> 00:23:27,760 Speaker 4: which when Andrew Culomo was the great hope of New York, 484 00:23:27,800 --> 00:23:31,840 Speaker 4: I knew things were not going to go out, you know, 485 00:23:31,920 --> 00:23:33,840 Speaker 4: when that was the guy that was going to save 486 00:23:33,920 --> 00:23:36,520 Speaker 4: the place that that was really, you know, a path 487 00:23:36,560 --> 00:23:39,439 Speaker 4: that they didn't want to be on. But yeah, you're right, 488 00:23:39,520 --> 00:23:44,040 Speaker 4: New Yorkers wanted lower prices, that they wanted different policies, 489 00:23:44,520 --> 00:23:47,720 Speaker 4: and that they're going to get that. I'm most concerned, 490 00:23:47,760 --> 00:23:50,720 Speaker 4: I guess I think the crime part of it is 491 00:23:51,200 --> 00:23:53,680 Speaker 4: things he's going to be able to do. If he 492 00:23:53,760 --> 00:23:56,920 Speaker 4: really does close Riker's Island, that will put a lot 493 00:23:56,960 --> 00:23:59,360 Speaker 4: of criminals on the streets because there's simply nowhere else 494 00:23:59,359 --> 00:24:01,720 Speaker 4: for them to go. So the plan was to close 495 00:24:01,800 --> 00:24:05,160 Speaker 4: Rikers and to build additional prisons to transfer the prisoners. 496 00:24:05,400 --> 00:24:07,919 Speaker 4: But if he just closes it without those additional prisons, 497 00:24:07,920 --> 00:24:10,480 Speaker 4: which she has kind of signaled he's going to do those, 498 00:24:10,880 --> 00:24:14,280 Speaker 4: they're going to have to release some number of criminals 499 00:24:14,280 --> 00:24:16,959 Speaker 4: onto the streets and stuff like that. Is really scary 500 00:24:16,960 --> 00:24:19,640 Speaker 4: to me because I don't know how New York can 501 00:24:19,920 --> 00:24:24,600 Speaker 4: sustain that. They already have so many issues with homeless 502 00:24:24,640 --> 00:24:27,560 Speaker 4: people being violent, or there was a rash of people 503 00:24:27,560 --> 00:24:31,640 Speaker 4: being pushed onto subway platform onto the subway tracks. It's 504 00:24:31,680 --> 00:24:34,480 Speaker 4: a really tough situation on the crime side, and that's 505 00:24:34,600 --> 00:24:37,440 Speaker 4: something that he's going to be able to affect. 506 00:24:37,840 --> 00:24:40,120 Speaker 1: Yeah. No, I think it's going to be very interesting 507 00:24:40,160 --> 00:24:43,000 Speaker 1: to watch. It has implications not just for New Yorkers 508 00:24:43,000 --> 00:24:45,399 Speaker 1: but for the rest of the country because we know 509 00:24:45,440 --> 00:24:47,200 Speaker 1: how this goes Carol right, it was the same thing 510 00:24:47,200 --> 00:24:50,920 Speaker 1: with AOC when she run one in twenty eighteen. Social 511 00:24:50,920 --> 00:24:54,199 Speaker 1: democrats around the country tried to adopt that model, And 512 00:24:54,240 --> 00:24:58,800 Speaker 1: you also have this interesting merging in New York of 513 00:25:00,040 --> 00:25:03,200 Speaker 1: Muslims who are serious about their faith working with left 514 00:25:03,240 --> 00:25:07,320 Speaker 1: wing progressives who believe in things like gay marriage that 515 00:25:08,200 --> 00:25:11,840 Speaker 1: Islamis don't necessarily believe in. So that kind of so 516 00:25:11,920 --> 00:25:14,720 Speaker 1: called red Green alliance seems to be the model that 517 00:25:14,760 --> 00:25:16,760 Speaker 1: they're going to try to imitate elsewhere, at least where 518 00:25:16,760 --> 00:25:19,639 Speaker 1: they have that kind of a population density that can 519 00:25:19,720 --> 00:25:20,400 Speaker 1: make a difference. 520 00:25:21,080 --> 00:25:24,040 Speaker 4: Yeah, it's an interesting alliance, but we are seeing it 521 00:25:24,600 --> 00:25:27,240 Speaker 4: across the country. I think that they're willing to work 522 00:25:27,280 --> 00:25:30,680 Speaker 4: together in the fact that fact really shows that they 523 00:25:30,720 --> 00:25:33,479 Speaker 4: have a common goal maybe, and I think a lot 524 00:25:33,520 --> 00:25:35,720 Speaker 4: of it does have to do with Israel or with 525 00:25:35,840 --> 00:25:39,960 Speaker 4: Jews in general. They've made this alliance and that's where 526 00:25:40,000 --> 00:25:44,919 Speaker 4: they're headed to really make it more difficult to support Israel. 527 00:25:45,000 --> 00:25:48,439 Speaker 4: For example, one of the things that he got rid 528 00:25:48,520 --> 00:25:51,520 Speaker 4: of that Eric Adams had done was supporting Israel. So 529 00:25:51,880 --> 00:25:56,200 Speaker 4: I don't know whether that alliance can be sustained long term. 530 00:25:56,680 --> 00:25:58,480 Speaker 4: They're definitely making a run of it for now in 531 00:25:58,520 --> 00:26:02,200 Speaker 4: a lot of places across the country. Our Muslims necessarily 532 00:26:02,320 --> 00:26:05,640 Speaker 4: left wing. I don't know, but they are doing this alliance, 533 00:26:05,680 --> 00:26:07,240 Speaker 4: and I don't know they're winning. 534 00:26:07,359 --> 00:26:10,800 Speaker 3: So yeah, maybe they're willing to look overlook some of 535 00:26:10,800 --> 00:26:13,600 Speaker 3: the other liberal cultural policies when you have stuff like 536 00:26:13,880 --> 00:26:16,760 Speaker 3: I mean, one of Eric Adams's executive orders was going 537 00:26:16,840 --> 00:26:19,959 Speaker 3: to bar city officials from boycotting or divesting from Israel. 538 00:26:20,480 --> 00:26:22,280 Speaker 2: Mom Donnie revokes that on the first day. 539 00:26:22,280 --> 00:26:26,320 Speaker 3: He also revokes Eric adams adoption of the International Holocaust 540 00:26:26,400 --> 00:26:29,800 Speaker 3: Remembrance Alliance's definition of anti Semitism, So, you know, things 541 00:26:29,840 --> 00:26:32,760 Speaker 3: are important to the Jewish community and he gets rid 542 00:26:32,800 --> 00:26:34,800 Speaker 3: of it right away, and it doesn't seem like that's 543 00:26:34,800 --> 00:26:37,159 Speaker 3: not impacting the daily life of New Yorkers. So it 544 00:26:37,160 --> 00:26:40,200 Speaker 3: seems there's got to be some other larger principal point 545 00:26:40,240 --> 00:26:43,080 Speaker 3: he's trying to make. We'll definitely be watching Karl Markowitz. 546 00:26:43,160 --> 00:26:45,440 Speaker 3: You've done a great job of documenting this great job 547 00:26:45,480 --> 00:26:47,960 Speaker 3: with New York Posts. Will continue to watch this story. 548 00:26:48,080 --> 00:26:49,600 Speaker 3: She's thanks for joining us today. 549 00:26:49,920 --> 00:26:51,040 Speaker 4: Thanks so much, guys. 550 00:26:52,040 --> 00:26:55,439 Speaker 3: So she's Karen Markowitz, He's Peter Schweitzer and Peter, you 551 00:26:55,520 --> 00:26:56,919 Speaker 3: have stuff and we're going to talk about this just 552 00:26:56,920 --> 00:27:00,760 Speaker 3: on this side this break. It matters what Mom Donnie does, 553 00:27:00,800 --> 00:27:03,240 Speaker 3: and it matters who his influences are. And while he's 554 00:27:03,280 --> 00:27:06,840 Speaker 3: got some Islamic influences, he's got some political influences also. 555 00:27:07,040 --> 00:27:10,119 Speaker 1: Yeah, Bernie Sanders, his mentor. Bernie Sanders was a mayor 556 00:27:10,800 --> 00:27:13,360 Speaker 1: and very interesting. I think we're gonna see history repeated 557 00:27:13,400 --> 00:27:16,000 Speaker 1: itself in a very unusual way. We'll be right back 558 00:27:16,080 --> 00:27:28,399 Speaker 1: after this. Henned King Ted Copple says Sean Hannity is 559 00:27:28,600 --> 00:27:31,280 Speaker 1: bad for America. 560 00:27:32,000 --> 00:27:36,960 Speaker 2: Sean Hannity, Welcome back, everybody. 561 00:27:37,000 --> 00:27:40,000 Speaker 3: It's Eric Eggers and Peter Schweitzer feeling in for Sean Hannity. 562 00:27:40,080 --> 00:27:41,760 Speaker 3: We do a podcast called The Drill Down, which you 563 00:27:41,760 --> 00:27:44,399 Speaker 3: can find at the drill down dot com. Peter, we 564 00:27:44,480 --> 00:27:47,360 Speaker 3: just heard from Carol Markowitz. The Mom Donnie era has 565 00:27:47,359 --> 00:27:50,080 Speaker 3: begun in New York City. And he had a few 566 00:27:50,080 --> 00:27:53,240 Speaker 3: people to thank as he gave his remarks yesterday, one 567 00:27:53,280 --> 00:27:54,840 Speaker 3: of whom I think caught your eye. 568 00:27:55,480 --> 00:27:58,920 Speaker 6: Thank you to the two titans. Who is an assembly 569 00:27:58,960 --> 00:28:01,600 Speaker 6: member I've had the proof of being represented by in 570 00:28:01,680 --> 00:28:07,199 Speaker 6: Congress Nidia a Velasqez and our incredible opening speaker, Alexandria 571 00:28:07,280 --> 00:28:08,560 Speaker 6: Ocasio Cortes. 572 00:28:10,280 --> 00:28:12,399 Speaker 2: You have paved the way for this moment. 573 00:28:13,560 --> 00:28:16,320 Speaker 6: Thank you to the man whose leadership I seek most 574 00:28:16,359 --> 00:28:19,280 Speaker 6: to emulate, who I am so grateful to be sworn 575 00:28:19,320 --> 00:28:22,240 Speaker 6: in by today, Senator Bernie Sanders. 576 00:28:24,400 --> 00:28:27,000 Speaker 1: Now this is fascinating to me because, of course Bernie 577 00:28:27,000 --> 00:28:30,639 Speaker 1: Sanders apparently is the icon and the idol of Mamdanni. 578 00:28:31,040 --> 00:28:34,639 Speaker 1: Bernie Sanders was mayor of Burlington, Vermont for eight years, 579 00:28:34,720 --> 00:28:37,680 Speaker 1: and he seeks to emulate him. Here's my prediction. I 580 00:28:37,680 --> 00:28:40,120 Speaker 1: think one of the ways that Mamdonnie's going to going 581 00:28:40,160 --> 00:28:43,760 Speaker 1: to imitate him is by self enriching the way that 582 00:28:43,760 --> 00:28:46,600 Speaker 1: Bernie Sanders did so. Bernie Sanders, when he became mayor 583 00:28:46,640 --> 00:28:50,680 Speaker 1: of Burlington, was completely broke. Eight years later, he leaves 584 00:28:50,760 --> 00:28:54,240 Speaker 1: as mayor, he owns three homes. He's worth a lot 585 00:28:54,280 --> 00:28:56,840 Speaker 1: more money than he was before. And he did it 586 00:28:56,920 --> 00:28:59,720 Speaker 1: by putting his first girlfriend and then later wife on 587 00:28:59,760 --> 00:29:02,520 Speaker 1: this city payroll without any approval. He put her in 588 00:29:02,600 --> 00:29:05,320 Speaker 1: charge of the Mayor's Youth Office, whatever that is. He 589 00:29:05,400 --> 00:29:09,520 Speaker 1: started giving paid speeches on socialism around the country and 590 00:29:09,560 --> 00:29:12,880 Speaker 1: he said at one point, it's so strange just having money, 591 00:29:13,520 --> 00:29:16,280 Speaker 1: is what Bernie Sanders said. And what he also did, though, 592 00:29:16,280 --> 00:29:19,920 Speaker 1: is he struck political bargains with people in Burlington that 593 00:29:19,960 --> 00:29:24,040 Speaker 1: were powerful that he previously opposed. There was the Palmerlow family, 594 00:29:24,080 --> 00:29:27,000 Speaker 1: there were big developers. He ran against them, but once 595 00:29:27,000 --> 00:29:29,760 Speaker 1: he became mayor, he partnered with him. And of course 596 00:29:29,760 --> 00:29:32,760 Speaker 1: the Palmelau family not only started donating to his campaigns, 597 00:29:33,000 --> 00:29:36,960 Speaker 1: they started funding his wife's private projects. So I think 598 00:29:36,960 --> 00:29:40,120 Speaker 1: you're going to get the same kind of action from Mamdnnie. 599 00:29:40,160 --> 00:29:42,480 Speaker 1: You're going to see this self enrichment. He's going to 600 00:29:42,600 --> 00:29:46,040 Speaker 1: engage in crony capitalism with favored people that are willing 601 00:29:46,080 --> 00:29:49,520 Speaker 1: to fund his causes and fund perhaps his family members. 602 00:29:49,760 --> 00:29:52,240 Speaker 1: That's what I think he means by emulation, not just 603 00:29:52,320 --> 00:29:55,440 Speaker 1: the socialism, but the self enrichment the socialism. 604 00:29:55,960 --> 00:29:57,760 Speaker 3: I don't know that we know enough to say whether 605 00:29:57,800 --> 00:30:00,000 Speaker 3: or he's a true believer in that, although he's been 606 00:30:00,000 --> 00:30:03,040 Speaker 3: and connected to this Bernie Sanders alliance for some time. 607 00:30:03,960 --> 00:30:06,360 Speaker 3: But it does seem like once you get into office. Look, 608 00:30:06,440 --> 00:30:07,960 Speaker 3: being the mayor of New York City has got to 609 00:30:07,960 --> 00:30:09,920 Speaker 3: be good for your bottom line. And if you can 610 00:30:10,040 --> 00:30:13,360 Speaker 3: sprinkle in enough of like the virtue signaling left stuff 611 00:30:13,400 --> 00:30:16,200 Speaker 3: to keep the business running, then that's how you kind 612 00:30:16,200 --> 00:30:16,880 Speaker 3: of stay in office. 613 00:30:16,920 --> 00:30:17,040 Speaker 2: Right. 614 00:30:17,120 --> 00:30:19,600 Speaker 1: Yeah, it's a combination of the two. So Bernie Sanders 615 00:30:19,640 --> 00:30:22,800 Speaker 1: would attack the powerful people in Burlington, but then he 616 00:30:22,840 --> 00:30:26,120 Speaker 1: would also set up side deals with them, involving his 617 00:30:26,200 --> 00:30:28,720 Speaker 1: wife and other people. And I can absolutely see Mom 618 00:30:28,720 --> 00:30:32,160 Speaker 1: Donnie doing the same thing. Fund my causes. Do enough 619 00:30:32,200 --> 00:30:34,960 Speaker 1: to keep the progressives happy, do enough to keep some 620 00:30:35,080 --> 00:30:37,160 Speaker 1: of the rich people happy that they're willing to play 621 00:30:37,200 --> 00:30:37,640 Speaker 1: ball with you. 622 00:30:37,760 --> 00:30:39,920 Speaker 3: Well, and to the point of like following the Bernie 623 00:30:39,920 --> 00:30:43,000 Speaker 3: Sanders playbook of striking up deals or getting along with 624 00:30:43,440 --> 00:30:46,320 Speaker 3: rich influential people. Note that what did mom Donnie do 625 00:30:46,760 --> 00:30:48,680 Speaker 3: went to the White House and played nice with Donald Trump? 626 00:30:48,760 --> 00:30:51,520 Speaker 3: He did, indeed, So we'll continue to see how much 627 00:30:51,680 --> 00:30:54,400 Speaker 3: of the Bernie Sanders playbook Mom Donnie follows. By the way, 628 00:30:54,400 --> 00:30:57,840 Speaker 3: everything Peterswiser just said is in his book Profiles in Corruption, 629 00:30:57,960 --> 00:31:00,680 Speaker 3: one of his numerous number one year time as best sellers, 630 00:31:00,720 --> 00:31:02,840 Speaker 3: which you can encourage you to pick up. It's too 631 00:31:02,920 --> 00:31:05,280 Speaker 3: late for it to be a Christmas president, but it's 632 00:31:05,280 --> 00:31:08,840 Speaker 3: still good information. When we come back, we're going to 633 00:31:08,880 --> 00:31:11,480 Speaker 3: talk to Jason Chafitz. He's been somebody that's affiliated with 634 00:31:11,520 --> 00:31:15,240 Speaker 3: our organization here, former member of Congress and former chair 635 00:31:15,280 --> 00:31:17,120 Speaker 3: of the House Oversight Committee. We're going to talk about 636 00:31:17,120 --> 00:31:19,120 Speaker 3: some of the things we're hearing about Congress. Is it 637 00:31:19,200 --> 00:31:22,600 Speaker 3: really dysfunctional in the House GOP caucus, and what can 638 00:31:22,640 --> 00:31:26,240 Speaker 3: we expect to actually happen. Will there be indictments, will 639 00:31:26,240 --> 00:31:28,800 Speaker 3: there be subpoenas? Will people go to jail for some 640 00:31:28,840 --> 00:31:30,680 Speaker 3: of the things we've been documenting all the corruption that's 641 00:31:30,680 --> 00:31:33,320 Speaker 3: been happening. We're back after this. He's Peter Schweizer, americ 642 00:31:33,360 --> 00:31:35,880 Speaker 3: Egers Philly in for Sean Handy. Jason Chaffit's up next.