1 00:00:00,120 --> 00:00:03,040 Speaker 1: Buckle up and get ready for a hard hitting episode 2 00:00:03,120 --> 00:00:06,200 Speaker 1: of the Truth with Lisa Booth, where we will expose 3 00:00:06,760 --> 00:00:11,440 Speaker 1: the hypocrisy and the potential criminality of New York Attorney 4 00:00:11,440 --> 00:00:14,800 Speaker 1: General Letitia James. You know who is the one who 5 00:00:14,840 --> 00:00:20,400 Speaker 1: relentlessly pursued President Trump, claiming no one was above the law. 6 00:00:21,120 --> 00:00:25,560 Speaker 1: But now the tables have turned. Federal officials have referred 7 00:00:25,640 --> 00:00:30,360 Speaker 1: James for criminal prosecution over alleged mortgage fraud tied to 8 00:00:30,440 --> 00:00:35,680 Speaker 1: properties in Virginia and New York. So today we're diving 9 00:00:35,760 --> 00:00:38,920 Speaker 1: deep into these explosive allegations with Paul Morrow. You know 10 00:00:39,000 --> 00:00:43,240 Speaker 1: him from Fox News. He's also former MIPD Legal Bureau 11 00:00:43,320 --> 00:00:47,240 Speaker 1: Commanding Officer and executive officer of the Intelligence Operations and 12 00:00:47,320 --> 00:00:50,800 Speaker 1: Analysis Bureau. So let's just say he knows a thing 13 00:00:50,880 --> 00:00:54,360 Speaker 1: or two about all of this. So what exactly did 14 00:00:54,600 --> 00:00:59,760 Speaker 1: James do and will she face consequences? She's also running 15 00:00:59,800 --> 00:01:03,920 Speaker 1: for election for attorney general, so will this derail that. 16 00:01:04,640 --> 00:01:07,200 Speaker 1: We're gonna ask Paul all these tough questions. Plus we'll 17 00:01:07,200 --> 00:01:10,720 Speaker 1: get his take on why these judges are blocking President 18 00:01:10,760 --> 00:01:14,960 Speaker 1: Trump's mass deportation plans. Was this the plan from the 19 00:01:15,040 --> 00:01:17,040 Speaker 1: left all along, that they knew that he wouldn't be 20 00:01:17,040 --> 00:01:20,360 Speaker 1: able to do these mass deportations. Kind of brilliant, to 21 00:01:20,360 --> 00:01:24,200 Speaker 1: be honest, but problematic for a country. Get ready for 22 00:01:24,360 --> 00:01:26,440 Speaker 1: the Unfiltered Truth with Paul Morrow. 23 00:01:26,520 --> 00:01:27,080 Speaker 2: Stay tuned. 24 00:01:32,640 --> 00:01:35,160 Speaker 1: Well, Paul, it's great to have you back on this show. 25 00:01:36,000 --> 00:01:39,440 Speaker 1: A lot's happened if I've had you on, so I 26 00:01:39,480 --> 00:01:41,080 Speaker 1: appreciate you making the time. 27 00:01:41,440 --> 00:01:42,400 Speaker 2: Of course, anytime. 28 00:01:43,440 --> 00:01:46,840 Speaker 1: So first I wanted to get into all this resistance 29 00:01:47,160 --> 00:01:50,280 Speaker 1: that President Trump is facing as he tries to deport 30 00:01:50,480 --> 00:01:54,680 Speaker 1: legal aliens who came here. You know, apparently open borders 31 00:01:54,880 --> 00:01:57,920 Speaker 1: are perfectly acceptable, but if you try to deport any 32 00:01:57,920 --> 00:02:01,280 Speaker 1: of these people, a judge will try to stop you. Well, 33 00:02:01,280 --> 00:02:04,560 Speaker 1: why do you think he's being met with so much resistance? 34 00:02:04,880 --> 00:02:07,840 Speaker 1: And you know, do you think the Trump administration is 35 00:02:07,840 --> 00:02:10,360 Speaker 1: following the letter of the law in trying to deport 36 00:02:10,360 --> 00:02:10,880 Speaker 1: these people? 37 00:02:11,880 --> 00:02:14,280 Speaker 3: Well, talk about being on the wrong side of history. Huh, 38 00:02:14,840 --> 00:02:18,720 Speaker 3: this is going to check out retrospectively. I think as 39 00:02:19,080 --> 00:02:21,800 Speaker 3: maybe one of the biggest blunders that the left has 40 00:02:21,800 --> 00:02:24,519 Speaker 3: ever engaged in, which is a big statement because the 41 00:02:24,600 --> 00:02:27,480 Speaker 3: American people are really not on board with this, and 42 00:02:27,520 --> 00:02:30,440 Speaker 3: they're making that as the Dems are making it a 43 00:02:30,600 --> 00:02:36,200 Speaker 3: very simple sort of bilateral choice. You know, it's just 44 00:02:36,320 --> 00:02:38,920 Speaker 3: really a choice of a ar B. A we have 45 00:02:38,960 --> 00:02:40,560 Speaker 3: a safe country, B we don't. 46 00:02:40,680 --> 00:02:41,520 Speaker 2: And they seem to. 47 00:02:41,480 --> 00:02:44,960 Speaker 3: Have missed a message of the last election because it 48 00:02:45,040 --> 00:02:48,440 Speaker 3: was probably the main thing driving the election. Maybe the 49 00:02:48,440 --> 00:02:51,239 Speaker 3: economy a little bit more, but you know, the border 50 00:02:51,280 --> 00:02:53,760 Speaker 3: really was the most salient issue because it was really 51 00:02:53,919 --> 00:02:58,200 Speaker 3: just a such a clear choice. Now, I do think 52 00:02:58,520 --> 00:03:03,320 Speaker 3: that there is an element of sort of the priests 53 00:03:03,840 --> 00:03:08,959 Speaker 3: here in that they cognizantly that is, the Dems did 54 00:03:09,080 --> 00:03:13,760 Speaker 3: let in ten to twelve million unvetted migrants knowing that 55 00:03:14,160 --> 00:03:16,160 Speaker 3: it was going to be almost impossible to. 56 00:03:16,160 --> 00:03:17,160 Speaker 2: Get them all out. 57 00:03:18,040 --> 00:03:21,560 Speaker 3: And so now the expectation is, okay, fight the Republican's 58 00:03:21,800 --> 00:03:24,000 Speaker 3: tooth and nail, fight Donald Trump tooth and nail, and 59 00:03:24,000 --> 00:03:25,840 Speaker 3: at some point you'll have to cut a deal because 60 00:03:25,880 --> 00:03:30,160 Speaker 3: you realistically cannot give full due process to ten to 61 00:03:30,200 --> 00:03:34,520 Speaker 3: twelve million illegals. The entire system will shut down. And 62 00:03:34,560 --> 00:03:37,880 Speaker 3: so I respect the idea of the worst first, but 63 00:03:38,000 --> 00:03:42,080 Speaker 3: the pledge to get rid of ten to twelve million illegals, 64 00:03:42,120 --> 00:03:45,400 Speaker 3: to reject them, eject them, I should say, from the country, 65 00:03:45,920 --> 00:03:50,320 Speaker 3: is just not feasible. And so the Trump administration really 66 00:03:50,320 --> 00:03:53,440 Speaker 3: does face a dilemma because it was the promise, and 67 00:03:53,480 --> 00:03:55,320 Speaker 3: the Dems are fighting a tooth and nail to make 68 00:03:55,360 --> 00:03:58,320 Speaker 3: sure that full due process has to apply to all 69 00:03:58,360 --> 00:04:01,120 Speaker 3: ten to twelve million. And I do want under if 70 00:04:01,160 --> 00:04:03,600 Speaker 3: that was not the plan all along, and at some 71 00:04:03,640 --> 00:04:06,640 Speaker 3: point a deal will have to be cut. Millions stay 72 00:04:06,760 --> 00:04:09,280 Speaker 3: and they're going to thank the Democratic Party by becoming 73 00:04:09,320 --> 00:04:10,520 Speaker 3: full citizens in voting. 74 00:04:10,880 --> 00:04:13,360 Speaker 1: Well, Paul, as you were talking, that was the thought 75 00:04:13,400 --> 00:04:16,240 Speaker 1: bubble that just popped into my mind, Like, what a 76 00:04:16,320 --> 00:04:19,280 Speaker 1: genius plan, right that they knew, they knew that you 77 00:04:19,320 --> 00:04:22,160 Speaker 1: wouldn't be able to offer due process to all these individuals, 78 00:04:22,240 --> 00:04:24,360 Speaker 1: and that he would be stopped and trying to deport 79 00:04:25,000 --> 00:04:26,320 Speaker 1: mass you know, deportation. 80 00:04:26,520 --> 00:04:27,360 Speaker 2: So it's brilliant. 81 00:04:27,640 --> 00:04:30,640 Speaker 1: You open the southern border, you let the floodgates go in, 82 00:04:30,720 --> 00:04:33,120 Speaker 1: you get a new voter base that gives you power. 83 00:04:33,160 --> 00:04:35,200 Speaker 1: And then now the fight moving forward is going to be, 84 00:04:35,680 --> 00:04:37,920 Speaker 1: you know, how do we prevent all these people from 85 00:04:38,000 --> 00:04:41,120 Speaker 1: voting in the future? Right, the whole new You're you're 86 00:04:41,160 --> 00:04:45,880 Speaker 1: basically importing, you know, an entire state full of people. 87 00:04:46,120 --> 00:04:50,960 Speaker 2: Yeah, it's crazy, Yeah, it really is. And you know, 88 00:04:51,000 --> 00:04:52,240 Speaker 2: you don't have to speculate too far. 89 00:04:52,240 --> 00:04:53,800 Speaker 3: It's not like we're weigh out on a limb here, 90 00:04:53,839 --> 00:04:57,679 Speaker 3: because New York City already tried. It got voted down 91 00:04:58,120 --> 00:05:01,120 Speaker 3: in the highest court in New York State, but it 92 00:05:01,160 --> 00:05:05,479 Speaker 3: went that far, and they tried to give illegals full 93 00:05:05,560 --> 00:05:08,640 Speaker 3: voting rights here in New York City. So they're very 94 00:05:08,640 --> 00:05:10,640 Speaker 3: clearly testing the waters. And you know, we're saying the 95 00:05:10,680 --> 00:05:14,480 Speaker 3: quiet part out loud. By now, it's become pretty clear 96 00:05:14,520 --> 00:05:17,159 Speaker 3: that Joe Biden was not pulling these strings. And so 97 00:05:17,279 --> 00:05:21,920 Speaker 3: someplace in the inner cabal, whatever hunt was actually running 98 00:05:22,000 --> 00:05:25,000 Speaker 3: the government in America for four years, somebody in there 99 00:05:25,520 --> 00:05:28,000 Speaker 3: came up with this plan and just said, look, flood 100 00:05:28,000 --> 00:05:30,640 Speaker 3: the zone and then when the time comes, were we 101 00:05:30,680 --> 00:05:33,560 Speaker 3: to lose, they'll never be able to get them out, 102 00:05:33,760 --> 00:05:35,719 Speaker 3: and over time it's just going to be a fad 103 00:05:35,800 --> 00:05:36,400 Speaker 3: of complee. 104 00:05:36,400 --> 00:05:38,320 Speaker 2: So you're right, there is an element. 105 00:05:38,440 --> 00:05:41,120 Speaker 3: You have to say, there was an element of political 106 00:05:41,160 --> 00:05:44,279 Speaker 3: genius to it. And yet it's one of the reasons 107 00:05:44,279 --> 00:05:47,160 Speaker 3: that they lost both houses and the presidency. And I 108 00:05:47,200 --> 00:05:49,279 Speaker 3: wouldn't be surprised at all if they win the next election. 109 00:05:49,320 --> 00:05:52,640 Speaker 3: If the economy does anything like the Trump people wanted 110 00:05:52,680 --> 00:05:55,039 Speaker 3: to do because, as I said, they've made it just 111 00:05:55,040 --> 00:05:57,359 Speaker 3: such a clear you know, in this age of so 112 00:05:57,480 --> 00:06:00,520 Speaker 3: much white noise, to be able to just point to 113 00:06:00,560 --> 00:06:04,520 Speaker 3: an issue and make it very very simple that we 114 00:06:04,600 --> 00:06:06,479 Speaker 3: are on the side of safety and they are not. 115 00:06:06,720 --> 00:06:08,880 Speaker 3: You know, guys like Van Holland am making it easy, 116 00:06:10,320 --> 00:06:10,479 Speaker 3: you know. 117 00:06:10,720 --> 00:06:14,919 Speaker 1: And how dangerous did some of these people make our country? 118 00:06:15,000 --> 00:06:17,560 Speaker 1: I mean you look at places like New York City 119 00:06:17,600 --> 00:06:22,120 Speaker 1: for example. You know how much more dangerous did some 120 00:06:22,160 --> 00:06:24,800 Speaker 1: of these individuals, this influx of new people coming in 121 00:06:24,839 --> 00:06:26,800 Speaker 1: the country make some of our communities. 122 00:06:27,360 --> 00:06:27,960 Speaker 2: Yeah, it's good. 123 00:06:28,000 --> 00:06:30,840 Speaker 3: It's a good question because there's no real metric for it, right, 124 00:06:30,960 --> 00:06:32,919 Speaker 3: you know, because the cities. 125 00:06:33,160 --> 00:06:34,880 Speaker 2: You know, New York State is a centuary state. 126 00:06:34,880 --> 00:06:36,680 Speaker 3: New York City is a century city, and you know, 127 00:06:36,720 --> 00:06:39,359 Speaker 3: you see that pattern around the country in terms of 128 00:06:39,360 --> 00:06:41,520 Speaker 3: blue cities and blue states, and so as a result, 129 00:06:41,880 --> 00:06:44,239 Speaker 3: you can't really test it and you can't prove a negative. 130 00:06:44,240 --> 00:06:47,000 Speaker 3: But that said that said, look, well, have dudes have 131 00:06:47,080 --> 00:06:49,880 Speaker 3: eyes and if you walk around the city, if nothing else, 132 00:06:49,960 --> 00:06:54,000 Speaker 3: let's even take the arrests as a metric off the table, 133 00:06:54,600 --> 00:06:57,360 Speaker 3: all right, if nothing else here in. 134 00:06:57,240 --> 00:06:58,840 Speaker 2: New York City and I'm sure it's going around and 135 00:06:58,839 --> 00:06:59,720 Speaker 2: the rest of the country. 136 00:06:59,839 --> 00:07:03,760 Speaker 3: You you have displaced the homeless and mentally ill population 137 00:07:04,000 --> 00:07:07,599 Speaker 3: from the vast majority of the city run shelters because 138 00:07:07,600 --> 00:07:10,400 Speaker 3: they had to be given over to migrants, and just 139 00:07:10,440 --> 00:07:13,000 Speaker 3: a cascading effect because then what happens is you have 140 00:07:13,040 --> 00:07:16,520 Speaker 3: to take over hotels. Midtown in New York City is dying. 141 00:07:16,800 --> 00:07:19,440 Speaker 3: I know a couple of people now in my neighborhood 142 00:07:19,480 --> 00:07:21,400 Speaker 3: who have restaurants who will just look at a close 143 00:07:21,440 --> 00:07:24,840 Speaker 3: up shop or have because the tourist trade has dropped off, 144 00:07:25,360 --> 00:07:26,320 Speaker 3: and all of these. 145 00:07:26,160 --> 00:07:27,600 Speaker 2: Things just lean on each other. 146 00:07:27,640 --> 00:07:30,320 Speaker 3: They all influence each other, they all lead one to another, 147 00:07:30,760 --> 00:07:34,880 Speaker 3: and it's because you have a much worse visible homeless problem. 148 00:07:35,160 --> 00:07:36,840 Speaker 2: Some of them are migrants, but not all, and. 149 00:07:36,800 --> 00:07:40,000 Speaker 3: It's because they've had to house in New York City 150 00:07:40,040 --> 00:07:43,960 Speaker 3: by Eric Adams underestimation, as many as one hundred thousand. 151 00:07:44,200 --> 00:07:45,720 Speaker 3: And then, of course there is the fact that you 152 00:07:46,040 --> 00:07:47,720 Speaker 3: and I have spoken about on the air so often, 153 00:07:47,760 --> 00:07:48,640 Speaker 3: which is that. 154 00:07:48,720 --> 00:07:50,280 Speaker 2: You know, look, we have enough of our purpose. 155 00:07:50,320 --> 00:07:52,920 Speaker 3: If you let in ten to twelve million unvetted people 156 00:07:53,440 --> 00:07:55,480 Speaker 3: and you take one percent of that, you've just let 157 00:07:55,520 --> 00:07:58,560 Speaker 3: in one hundred thousand new criminals. We don't have enough 158 00:07:58,600 --> 00:08:01,600 Speaker 3: of our own. We've got to import them, and no 159 00:08:01,760 --> 00:08:04,000 Speaker 3: vetting was done. You and I both know that the 160 00:08:04,760 --> 00:08:08,760 Speaker 3: CHNV program was a huge force multiplier for the migrant 161 00:08:08,840 --> 00:08:13,120 Speaker 3: criminal element, for the gangs and the cartels, and they 162 00:08:13,160 --> 00:08:16,040 Speaker 3: were paid for to come. We literally ship them in 163 00:08:16,080 --> 00:08:19,360 Speaker 3: on our time and our dime. So it was just madness. 164 00:08:19,400 --> 00:08:21,960 Speaker 3: And when you say to yourself, why would any nation 165 00:08:22,200 --> 00:08:24,360 Speaker 3: do this to itself, you have to say to yourself, 166 00:08:24,400 --> 00:08:27,960 Speaker 3: there's got to be someplace in there, some hidden objective. 167 00:08:28,040 --> 00:08:29,920 Speaker 3: And I think you and I tasted out a few 168 00:08:29,960 --> 00:08:32,520 Speaker 3: minutes ago, which is there expecting this to be a 169 00:08:32,760 --> 00:08:35,120 Speaker 3: massive democratic voting block at some point? 170 00:08:35,960 --> 00:08:37,880 Speaker 1: Well, and we haven't even you know, I mean, we 171 00:08:38,000 --> 00:08:40,360 Speaker 1: haven't seen this, but there have been threads. You know, 172 00:08:40,440 --> 00:08:45,800 Speaker 1: you had Christopher Ray warn about some terrorists. You know, 173 00:08:46,040 --> 00:08:48,400 Speaker 1: we know that we've seen a record number of terrorists 174 00:08:48,440 --> 00:08:50,560 Speaker 1: on the watch lists try to enter in the United States. 175 00:08:50,559 --> 00:08:53,200 Speaker 1: So who knows who has actually been let in here? 176 00:08:53,720 --> 00:08:56,679 Speaker 1: I mean, you've worked at the intelligence operations at the NYPD. 177 00:08:58,640 --> 00:09:02,080 Speaker 1: How much of a threat is at still and how 178 00:09:02,200 --> 00:09:05,280 Speaker 1: concerned are you that that will materialize in the near future? 179 00:09:06,400 --> 00:09:09,240 Speaker 2: Put it this way, they'd have to be morons. 180 00:09:09,520 --> 00:09:11,319 Speaker 3: And when I say they, now, I'm going to switch 181 00:09:11,360 --> 00:09:13,559 Speaker 3: to a little bit more of a nation state argument 182 00:09:13,640 --> 00:09:19,160 Speaker 3: here the Chinese and other nations that mean, it's less 183 00:09:19,160 --> 00:09:22,559 Speaker 3: in North Koreans, but certainly the Chinese, the Iranians, and 184 00:09:22,559 --> 00:09:25,640 Speaker 3: the Russians. They'd have to be morons not to take 185 00:09:25,640 --> 00:09:28,440 Speaker 3: advantage of the fact that New York, excuse me, America 186 00:09:28,480 --> 00:09:31,959 Speaker 3: blew open its open borders. It's particularly at southern border 187 00:09:32,000 --> 00:09:35,280 Speaker 3: to any comer. They'd have to be complete idiots not 188 00:09:35,360 --> 00:09:37,440 Speaker 3: to have taken advantage of that. And I can tell 189 00:09:37,440 --> 00:09:41,320 Speaker 3: you they're not complete idiots, all right. So there are 190 00:09:41,400 --> 00:09:43,920 Speaker 3: numerous examples that we could cite, and you know, that's 191 00:09:43,960 --> 00:09:45,520 Speaker 3: just a tip of the iceberg. But I'm going to 192 00:09:45,559 --> 00:09:49,960 Speaker 3: go back to a historical There was a rubrik here 193 00:09:50,400 --> 00:09:53,080 Speaker 3: to this, and that's the Mario boat lift during the 194 00:09:53,120 --> 00:09:58,120 Speaker 3: seventies on the Jimmy Carter because Castro took that opportunity 195 00:09:58,200 --> 00:10:01,360 Speaker 3: to open up his jails and his insane asylums to 196 00:10:01,480 --> 00:10:04,480 Speaker 3: about one hundred and fifty thousand Cubans who wanted to 197 00:10:04,520 --> 00:10:08,840 Speaker 3: leave that island, and he they mostly were not criminals 198 00:10:09,280 --> 00:10:14,240 Speaker 3: and insane people. But there were plenty. But one thing 199 00:10:14,280 --> 00:10:18,079 Speaker 3: that's often lost to history is that he also reportedly 200 00:10:18,160 --> 00:10:22,640 Speaker 3: flooded Florida with a good number of intelligence agents. Cuba 201 00:10:22,679 --> 00:10:25,720 Speaker 3: has a very active intelligence apparatus that always has They've 202 00:10:25,720 --> 00:10:28,480 Speaker 3: trained ven asuell as and they were all Soviet trained 203 00:10:28,520 --> 00:10:30,720 Speaker 3: at the time. So one hundred and one hundred and 204 00:10:30,760 --> 00:10:34,600 Speaker 3: fifty Cuban assets into Florida reportedly, some of them and 205 00:10:34,640 --> 00:10:37,560 Speaker 3: it's not as a classified or I think reportedly still 206 00:10:37,600 --> 00:10:39,840 Speaker 3: active and set up networks. And one of the things 207 00:10:39,880 --> 00:10:44,400 Speaker 3: they do is they rip off the benefits system and 208 00:10:44,679 --> 00:10:47,199 Speaker 3: they're trained to do that. They know there are tremendous 209 00:10:47,240 --> 00:10:50,120 Speaker 3: holes in our benefits system, and it's just another way 210 00:10:50,160 --> 00:10:53,400 Speaker 3: to drain the American treasury and to support there a 211 00:10:53,440 --> 00:10:57,320 Speaker 3: lot of these intelligence operations by these foreign adversaries. They 212 00:10:57,400 --> 00:11:00,880 Speaker 3: are self funding because of things like that. This and 213 00:11:00,880 --> 00:11:03,679 Speaker 3: the Cubans did it. You know for a fact that 214 00:11:03,760 --> 00:11:05,679 Speaker 3: Russians must have been doing it. We know that there 215 00:11:05,679 --> 00:11:08,880 Speaker 3: were fifty thousand unvetted Chinese that came in through the 216 00:11:08,920 --> 00:11:11,160 Speaker 3: southern border. The idea that none of the more intelligence 217 00:11:11,200 --> 00:11:14,559 Speaker 3: assets beggars belief. And so yeah, we've thrown ourselves open 218 00:11:14,559 --> 00:11:16,640 Speaker 3: and we may never really know the extent of the damage, 219 00:11:16,679 --> 00:11:19,600 Speaker 3: but at some point it'll become a parent, you know. 220 00:11:19,679 --> 00:11:25,640 Speaker 1: So I want to get into this Tiss James situation. 221 00:11:25,920 --> 00:11:28,880 Speaker 1: So the Attorney General of New York, she told us 222 00:11:29,080 --> 00:11:32,800 Speaker 1: that no one was above the law. And it turns 223 00:11:32,800 --> 00:11:36,079 Speaker 1: out there's some stuff in her background that could potentially 224 00:11:36,080 --> 00:11:40,560 Speaker 1: get her in legal trouble. You know what, do you 225 00:11:40,640 --> 00:11:44,880 Speaker 1: make some of these allegations against her and the allegation 226 00:11:44,920 --> 00:11:45,800 Speaker 1: of mortgage fraud. 227 00:11:47,160 --> 00:11:50,280 Speaker 3: Yeah, So I am actually very conversant with this because 228 00:11:50,320 --> 00:11:53,360 Speaker 3: the person who did the investigations and who found all 229 00:11:53,400 --> 00:11:55,400 Speaker 3: of this stuff is a guy named Sam Antar, and 230 00:11:55,559 --> 00:11:58,400 Speaker 3: he was one of these happenstance things. Only I know 231 00:11:58,440 --> 00:12:01,679 Speaker 3: him around my neighborhood. It's just he knows I had 232 00:12:01,679 --> 00:12:04,320 Speaker 3: a podcast, he knows I appear on Fox. So he 233 00:12:04,400 --> 00:12:06,600 Speaker 3: brought it all to me and I kind of teased 234 00:12:06,600 --> 00:12:08,760 Speaker 3: it out, have waited until he really had something concrete. 235 00:12:08,800 --> 00:12:11,319 Speaker 3: But he brings me to documents and they're just inarguable. 236 00:12:11,440 --> 00:12:14,800 Speaker 3: So doesn't mean she's guilty. She's innocent until proven guilty, 237 00:12:14,880 --> 00:12:18,440 Speaker 3: just like anybody else. But that said, there is a 238 00:12:18,480 --> 00:12:20,320 Speaker 3: lot of smoke to the point that I think there's 239 00:12:20,320 --> 00:12:23,400 Speaker 3: gotta have to be a fire here because Sammy and 240 00:12:23,480 --> 00:12:26,160 Speaker 3: whycollafraud dot Com that's his blog where he lays it 241 00:12:26,200 --> 00:12:29,280 Speaker 3: all out, has the primary documents, and she's really put 242 00:12:29,280 --> 00:12:32,200 Speaker 3: herself in a box on two main issues. There's a 243 00:12:32,200 --> 00:12:34,320 Speaker 3: bunch of attendant issues that are sort of collateral, but 244 00:12:35,000 --> 00:12:38,080 Speaker 3: he's got one main thing in that she very clearly 245 00:12:38,160 --> 00:12:41,800 Speaker 3: seems to have signed two documents write and lead up 246 00:12:41,800 --> 00:12:46,440 Speaker 3: to her case against Donald Trump that show she signed 247 00:12:46,520 --> 00:12:50,480 Speaker 3: and had notarized a power of attorney wherein she pledged 248 00:12:51,040 --> 00:12:54,000 Speaker 3: that Virginia house that she was buying in Virginia was 249 00:12:54,040 --> 00:12:56,400 Speaker 3: going to be her primary residence. This is while she's 250 00:12:56,440 --> 00:12:59,080 Speaker 3: the New York State Attorney General, and then she did 251 00:12:59,080 --> 00:13:03,359 Speaker 3: the same thing for the mortgage application for that same property. 252 00:13:03,640 --> 00:13:06,440 Speaker 3: It also has a house another house in Virginia that 253 00:13:06,559 --> 00:13:09,280 Speaker 3: apparently she values at about one hundred to one hundred 254 00:13:09,320 --> 00:13:11,880 Speaker 3: and fifty thousand dollars. You give a range in your disclosures. 255 00:13:12,480 --> 00:13:15,400 Speaker 3: It's valued according to the mortgages on it, because there's 256 00:13:15,440 --> 00:13:18,480 Speaker 3: like three or four mortgages on it over five hundred thousand, 257 00:13:18,520 --> 00:13:21,120 Speaker 3: which is exactly what she went after Donald Trump for 258 00:13:21,720 --> 00:13:25,760 Speaker 3: literally over mortgaging a property. And then her other problem 259 00:13:26,080 --> 00:13:29,360 Speaker 3: is here in Brooklyn, she has an apartment building that 260 00:13:29,440 --> 00:13:31,920 Speaker 3: throughout the history of the building has been listed by 261 00:13:31,920 --> 00:13:35,600 Speaker 3: the New York City the authorities here in New York 262 00:13:35,600 --> 00:13:38,640 Speaker 3: City as having a certificate of occupancy according to the 263 00:13:38,640 --> 00:13:44,120 Speaker 3: Department of Buildings, as having five apartments, five different residences. 264 00:13:44,559 --> 00:13:47,240 Speaker 3: Every time she's mortgaged it, and she's remortgaged it, she 265 00:13:47,280 --> 00:13:50,320 Speaker 3: applied for a distress loan and everything else, she puts 266 00:13:50,320 --> 00:13:53,800 Speaker 3: it at four and numerous times over and over. Why 267 00:13:53,840 --> 00:13:56,280 Speaker 3: does that matter for the same reason that the Virginia 268 00:13:56,320 --> 00:14:00,640 Speaker 3: thinks a problem because she puts down four so that 269 00:14:00,720 --> 00:14:01,400 Speaker 3: she can get a. 270 00:14:01,320 --> 00:14:02,400 Speaker 2: More favorable rate. 271 00:14:02,480 --> 00:14:04,920 Speaker 3: That's why she pledged the Virginia property to be a 272 00:14:04,920 --> 00:14:09,000 Speaker 3: primary residence. You get a more favorable mortgage rate. Now 273 00:14:09,080 --> 00:14:11,560 Speaker 3: there's been complaints about it up here in Brooklyn. Apparently 274 00:14:11,600 --> 00:14:13,720 Speaker 3: they were washed away. They were swept under the rug 275 00:14:13,760 --> 00:14:16,120 Speaker 3: because she is who she is. You also have to 276 00:14:16,120 --> 00:14:19,200 Speaker 3: say to yourself, how in Virginia could she and cumber 277 00:14:19,280 --> 00:14:22,240 Speaker 3: properties with over five hundred thousand dollars when they're worth 278 00:14:22,280 --> 00:14:25,080 Speaker 3: the fifth of that. And you got to say people 279 00:14:25,360 --> 00:14:28,240 Speaker 3: in the loan industry must have been complicit from where 280 00:14:28,280 --> 00:14:28,680 Speaker 3: I sit. 281 00:14:29,200 --> 00:14:30,200 Speaker 2: So you got a real. 282 00:14:30,000 --> 00:14:32,920 Speaker 3: Investigation here where people could flip. You're going to have 283 00:14:32,960 --> 00:14:35,200 Speaker 3: to pull documents, You're gonna have to dump emails. All 284 00:14:35,320 --> 00:14:37,200 Speaker 3: that's going to go on now at the criminal Referral 285 00:14:37,240 --> 00:14:40,440 Speaker 3: has gone to DOJ And that's why she's holding fundraisers, 286 00:14:40,480 --> 00:14:43,040 Speaker 3: I'm sure, so that she can lawyer up, because I 287 00:14:43,080 --> 00:14:45,080 Speaker 3: think she's got real problems here and she's going to 288 00:14:45,120 --> 00:14:48,080 Speaker 3: frankly be lucky to retain her law license, never mind 289 00:14:48,080 --> 00:14:49,040 Speaker 3: her political career. 290 00:14:49,480 --> 00:14:52,280 Speaker 1: Well, and also like really creepy back in I think 291 00:14:52,320 --> 00:14:54,720 Speaker 1: it was like from nineteen eighty three to two thousand, 292 00:14:54,760 --> 00:14:58,040 Speaker 1: for a property she purchased with her father, she apparently 293 00:14:58,120 --> 00:15:00,360 Speaker 1: listed them as husband wife. 294 00:15:00,920 --> 00:15:03,600 Speaker 3: That apparently happened way back she was twenty years old. 295 00:15:04,000 --> 00:15:06,120 Speaker 3: It's a little unclear to me as to why that 296 00:15:06,160 --> 00:15:09,120 Speaker 3: would get you a more favorable rate or more favorable 297 00:15:09,200 --> 00:15:11,320 Speaker 3: treatment from a bank. Maybe she thought it made her 298 00:15:11,360 --> 00:15:14,280 Speaker 3: look more stable if she was married and she said, 299 00:15:14,360 --> 00:15:16,560 Speaker 3: you know, yeah, I'm going into this with my husband. Yeah, 300 00:15:16,600 --> 00:15:19,520 Speaker 3: you're right, that did happen. The statute limitations would have 301 00:15:19,560 --> 00:15:21,360 Speaker 3: run on that, but it just it's part of the 302 00:15:21,360 --> 00:15:24,640 Speaker 3: whole pattern here. And look, this is what sam Antar 303 00:15:24,880 --> 00:15:28,720 Speaker 3: was able to uncover without subpoena power. You can imagine 304 00:15:28,840 --> 00:15:31,280 Speaker 3: what's going to happen when DOJ digs into this with 305 00:15:31,400 --> 00:15:33,160 Speaker 3: the ability to go to a judge and get a 306 00:15:33,160 --> 00:15:36,040 Speaker 3: search bar on a subpoena and rip all of those 307 00:15:36,080 --> 00:15:39,280 Speaker 3: financial records. I think she's really got trouble here, and 308 00:15:39,320 --> 00:15:42,480 Speaker 3: it's just mind bibling because she was doing precisely what 309 00:15:42,640 --> 00:15:45,920 Speaker 3: she went after Donald Trump for. It's just really a 310 00:15:46,200 --> 00:15:49,400 Speaker 3: let's be frank, it's really a delicious irony because most 311 00:15:49,440 --> 00:15:51,600 Speaker 3: of us in the legal community thought that her case 312 00:15:51,640 --> 00:15:54,280 Speaker 3: against Trump was entirely trumped up, no pun intended. 313 00:15:54,360 --> 00:15:57,320 Speaker 1: We've got a quick commercial break more with Paul on 314 00:15:57,360 --> 00:16:00,360 Speaker 1: the other side. Also, if you're enjoying this episode, please 315 00:16:00,400 --> 00:16:02,840 Speaker 1: share it with your friends and family or maybe even 316 00:16:02,920 --> 00:16:05,680 Speaker 1: post on social media. I would appreciate it. But first, 317 00:16:06,240 --> 00:16:11,480 Speaker 1: Israel still under attack. Missile fire has resumed from Israel's enemies, 318 00:16:11,600 --> 00:16:15,000 Speaker 1: terrorists who seek utter death and destruction. Here in America, 319 00:16:15,040 --> 00:16:17,440 Speaker 1: we can't imagine what it's like to live in constant 320 00:16:17,480 --> 00:16:20,120 Speaker 1: fear like this, but for the people of Israel, it's 321 00:16:20,160 --> 00:16:24,000 Speaker 1: all very real every single day. Please join me and 322 00:16:24,040 --> 00:16:26,440 Speaker 1: show the people of Israel. You'll help protect them and 323 00:16:26,520 --> 00:16:29,160 Speaker 1: this time of attack and uncertainty, and one of the 324 00:16:29,160 --> 00:16:31,120 Speaker 1: best ways to do this is by giving to the 325 00:16:31,160 --> 00:16:35,080 Speaker 1: International Fellowship of Christians and Jews. Your gift today helps 326 00:16:35,120 --> 00:16:39,560 Speaker 1: provide security essentials like bomb shelters, flack jackets, bulletproof vest, 327 00:16:39,720 --> 00:16:43,760 Speaker 1: armored security vehicles, ambulances, and so much more. There's no 328 00:16:43,840 --> 00:16:47,240 Speaker 1: better time to give than right now, during the Passover holiday, 329 00:16:47,320 --> 00:16:50,920 Speaker 1: when we celebrate Israel's historic deliverance and birth as a nation. 330 00:16:51,600 --> 00:16:54,440 Speaker 1: Give a special Passover gift today and help protect the 331 00:16:54,440 --> 00:16:58,040 Speaker 1: people of Israel. Call eight eight eight for eight IFCJ. 332 00:16:58,440 --> 00:17:01,040 Speaker 1: That's eight eight eight for A eight four three two five, 333 00:17:01,320 --> 00:17:04,720 Speaker 1: or you can go online support i FDJ dot org. 334 00:17:04,880 --> 00:17:07,920 Speaker 1: That's one word support IFDJ dot org. 335 00:17:11,200 --> 00:17:12,800 Speaker 2: Do you think from what. 336 00:17:12,680 --> 00:17:14,960 Speaker 1: We know now and as you said, you know, they'll 337 00:17:15,000 --> 00:17:18,840 Speaker 1: learn more right as they investigate. But uh, do you 338 00:17:18,880 --> 00:17:20,520 Speaker 1: think from what we know now and what you just 339 00:17:20,600 --> 00:17:23,720 Speaker 1: laid out, does that constitute mortgage fraud after under a 340 00:17:23,720 --> 00:17:25,240 Speaker 1: federal or New York state law? 341 00:17:25,680 --> 00:17:25,840 Speaker 2: Oh? 342 00:17:25,880 --> 00:17:28,480 Speaker 3: God, yeah, they're going to be able to find all 343 00:17:28,560 --> 00:17:31,119 Speaker 3: kinds of cases. She's one thing she's not going to 344 00:17:31,160 --> 00:17:33,400 Speaker 3: be able to do is to say that I mean, 345 00:17:33,400 --> 00:17:35,960 Speaker 3: she'll say it, but it's not gonna fly. She when 346 00:17:36,000 --> 00:17:38,000 Speaker 3: she claims ay, you're targeting me. These are the kind 347 00:17:38,000 --> 00:17:40,880 Speaker 3: of cases that are never brought. Yeah, that's not gonna work, 348 00:17:40,920 --> 00:17:43,840 Speaker 3: because they're going to be able to point to numerous, 349 00:17:44,160 --> 00:17:47,040 Speaker 3: numerous instances of I can tell you, for one thing, 350 00:17:47,080 --> 00:17:49,920 Speaker 3: the thing with the certificate of occupancy. They go after 351 00:17:49,960 --> 00:17:52,879 Speaker 3: that all the time here in this city. And in 352 00:17:52,920 --> 00:17:55,080 Speaker 3: this case, you actually do have a victim. Unlike the 353 00:17:55,119 --> 00:17:58,399 Speaker 3: Donald Trump situation, where the loan was given to Donald 354 00:17:58,400 --> 00:18:01,320 Speaker 3: Trump with the full cognizance of the were happy to 355 00:18:01,320 --> 00:18:02,800 Speaker 3: give it to him, and he paid it all back 356 00:18:02,840 --> 00:18:05,600 Speaker 3: and they were happy to get the interest. In this case, 357 00:18:06,119 --> 00:18:08,960 Speaker 3: the banks can claim, hey, we were supposed to be 358 00:18:09,040 --> 00:18:10,560 Speaker 3: charging a higher mortgage. 359 00:18:10,240 --> 00:18:11,040 Speaker 2: Rate all along. 360 00:18:11,160 --> 00:18:15,160 Speaker 3: She owes us the interest difference here for whatever how 361 00:18:15,160 --> 00:18:15,840 Speaker 3: many years. 362 00:18:16,320 --> 00:18:17,560 Speaker 2: So you do have a victim. 363 00:18:17,640 --> 00:18:22,280 Speaker 3: So absolutely, she's potentially on the hook for mortgage fraud, 364 00:18:22,600 --> 00:18:24,920 Speaker 3: all those charges that the Feds always lay her on. 365 00:18:25,000 --> 00:18:28,880 Speaker 3: They're gonna have mortgage freud, wirefraud, mail fraud, steamed at defraud, 366 00:18:28,920 --> 00:18:31,520 Speaker 3: probably a conspiracy charge. I would think they're going to 367 00:18:31,560 --> 00:18:33,200 Speaker 3: be looking at the cousin. They're going to be looking 368 00:18:33,200 --> 00:18:36,520 Speaker 3: at the loan offices. I'd be looking to flip everybody, 369 00:18:36,560 --> 00:18:38,840 Speaker 3: because as you know, you flip up, you don't flip down. 370 00:18:39,280 --> 00:18:42,199 Speaker 3: And I would say, give it about six months, but 371 00:18:42,480 --> 00:18:45,040 Speaker 3: I think that six months from now you're probably going 372 00:18:45,119 --> 00:18:46,240 Speaker 3: to hear this stuff. 373 00:18:46,000 --> 00:18:47,240 Speaker 2: Going into a grand jury. 374 00:18:47,600 --> 00:18:49,720 Speaker 3: And God only knows what else they going to find, 375 00:18:49,840 --> 00:18:53,560 Speaker 3: because anybody who would be operating with such impunity and 376 00:18:53,640 --> 00:18:56,359 Speaker 3: had such arrogance to be doing what it appears she 377 00:18:56,560 --> 00:18:59,680 Speaker 3: was doing while going after Donald Trump was likely not 378 00:19:00,320 --> 00:19:06,160 Speaker 3: very defensive, let's say in texts and emails. It may 379 00:19:06,200 --> 00:19:09,040 Speaker 3: not have been very cautious about all of that, and 380 00:19:09,400 --> 00:19:11,000 Speaker 3: it could lead them in all kinds of directions. 381 00:19:11,080 --> 00:19:13,480 Speaker 2: I really think she's opened herself up to trouble. 382 00:19:14,240 --> 00:19:15,880 Speaker 1: And then how much trouble. 383 00:19:16,320 --> 00:19:18,160 Speaker 2: Well, Also, it's kind of hard to argue. 384 00:19:17,880 --> 00:19:20,359 Speaker 1: When you're the attorney general that like you don't know 385 00:19:20,440 --> 00:19:23,040 Speaker 1: the law, right Like, It's like that just doesn't fly. 386 00:19:23,240 --> 00:19:27,359 Speaker 1: It's like, of all people, you should know the law, 387 00:19:26,119 --> 00:19:31,639 Speaker 1: you know, and if you don't know the law, attorney. 388 00:19:31,280 --> 00:19:34,960 Speaker 3: General exactly, I mean, you know, I get a search, 389 00:19:35,840 --> 00:19:38,600 Speaker 3: you know, I just threw it into AI and her 390 00:19:38,640 --> 00:19:41,639 Speaker 3: office has prosecuted similar cases. So in no way she 391 00:19:41,720 --> 00:19:43,520 Speaker 3: can say, wow, you know, I'm going to claim ignorance. 392 00:19:43,520 --> 00:19:45,119 Speaker 3: First of all, it's not a defense number one, but 393 00:19:45,200 --> 00:19:47,399 Speaker 3: number two. People are gonna say, oh yeah, well what 394 00:19:47,440 --> 00:19:49,560 Speaker 3: about you know these fifteen people that you're locked up 395 00:19:49,600 --> 00:19:50,440 Speaker 3: on similar charges? 396 00:19:50,480 --> 00:19:52,919 Speaker 2: Because the AG's office does a lot of financial stuff, a. 397 00:19:52,920 --> 00:19:56,560 Speaker 3: Lot of things they do, so look, this is now 398 00:19:56,640 --> 00:20:01,600 Speaker 3: a personal experience. I had to deal with her a 399 00:20:01,640 --> 00:20:05,359 Speaker 3: few times, you know, when I was yeah, she's she's 400 00:20:05,400 --> 00:20:08,080 Speaker 3: pretty much, she's what you would expect. I mean, during 401 00:20:08,400 --> 00:20:10,600 Speaker 3: my primary contact with her was when I was committing 402 00:20:10,600 --> 00:20:14,320 Speaker 3: office sort of legal bureau for the NYPD, and you know, 403 00:20:14,440 --> 00:20:17,800 Speaker 3: she's just it was during the twenty twenty quote unquote 404 00:20:17,840 --> 00:20:20,280 Speaker 3: Summer of Love, and they were trying to burn down 405 00:20:20,280 --> 00:20:20,680 Speaker 3: the city. 406 00:20:20,720 --> 00:20:22,760 Speaker 2: They were literally trying to burn down Macy's. 407 00:20:22,800 --> 00:20:25,080 Speaker 3: I was there, you know, so I can attest to 408 00:20:25,160 --> 00:20:28,280 Speaker 3: it billion dollars in damage, I'm sure, just in New 409 00:20:28,320 --> 00:20:31,960 Speaker 3: York City. And while bricks were bouncing off the faces 410 00:20:32,000 --> 00:20:34,320 Speaker 3: of my cops quite literally, you know, I had to 411 00:20:34,560 --> 00:20:37,160 Speaker 3: go and watch one of my lieutenants get his face 412 00:20:37,240 --> 00:20:38,960 Speaker 3: so back together from a brick that hit him in 413 00:20:39,000 --> 00:20:41,520 Speaker 3: the face. I had to deal with the fact that 414 00:20:41,640 --> 00:20:44,000 Speaker 3: all she wanted to do was lock up cops. She 415 00:20:44,080 --> 00:20:47,399 Speaker 3: was putting out on Twitter. Anybody that has anything approaching 416 00:20:47,520 --> 00:20:53,000 Speaker 3: an encounter with the police that's unprofessional, DM me directly. 417 00:20:53,680 --> 00:20:55,960 Speaker 3: And these cops were under man They were running around 418 00:20:55,960 --> 00:20:58,320 Speaker 3: twenty four to seven trying to save the city from 419 00:20:58,400 --> 00:21:01,600 Speaker 3: a riotous mob that was using the George Floyd thing 420 00:21:01,720 --> 00:21:05,720 Speaker 3: is cover for all of their frustrations with whatever they 421 00:21:05,840 --> 00:21:08,880 Speaker 3: really ostensibly to, you know, the whole BLM thing, And 422 00:21:09,400 --> 00:21:13,240 Speaker 3: as the ostensible chief law enforcement officer for New. 423 00:21:13,240 --> 00:21:14,639 Speaker 2: York State, she did nothing. 424 00:21:15,600 --> 00:21:17,719 Speaker 3: You know, I was waiting for an offer of assistance 425 00:21:18,400 --> 00:21:21,680 Speaker 3: and we got none. And the amount of damage done 426 00:21:21,720 --> 00:21:24,560 Speaker 3: to the city, none are cops who got injured, et cetera, 427 00:21:24,600 --> 00:21:24,960 Speaker 3: et cetera. 428 00:21:25,000 --> 00:21:25,439 Speaker 2: I could go on. 429 00:21:25,480 --> 00:21:27,000 Speaker 3: It's a little bit of an old story right now, 430 00:21:27,000 --> 00:21:28,800 Speaker 3: but it was very clear what side of that whole 431 00:21:28,800 --> 00:21:30,919 Speaker 3: thing she was on. And of course all of it 432 00:21:30,960 --> 00:21:32,880 Speaker 3: now has been shown to be completely bankrupt. 433 00:21:32,880 --> 00:21:34,200 Speaker 2: Blum was a scam. 434 00:21:34,520 --> 00:21:36,480 Speaker 3: If you really want to dig into it, we can, 435 00:21:36,720 --> 00:21:38,959 Speaker 3: you know, sort of relitigate the whole George Floyd thing. 436 00:21:38,960 --> 00:21:40,680 Speaker 2: I'm not here to do. Let's litigate it. 437 00:21:41,800 --> 00:21:44,320 Speaker 3: Yeah, I mean, you know, look if you've probably heard 438 00:21:44,320 --> 00:21:47,240 Speaker 3: about the documentary about it, and here's a guy that 439 00:21:47,280 --> 00:21:50,760 Speaker 3: did pushing robbery by holding a gun to the to 440 00:21:50,800 --> 00:21:52,119 Speaker 3: the belly of a pregnant woman. 441 00:21:53,000 --> 00:21:55,639 Speaker 2: This guy was no hero. There should be no statues 442 00:21:55,760 --> 00:21:58,680 Speaker 2: the George Floyd around the nation, let's be clear, and 443 00:21:58,880 --> 00:22:02,760 Speaker 2: you know there are. Chavann has his own appeals process. 444 00:22:02,200 --> 00:22:03,480 Speaker 2: That's the cop. 445 00:22:03,920 --> 00:22:07,919 Speaker 3: But when you see that the autopsy report for George 446 00:22:07,920 --> 00:22:11,479 Speaker 3: Floyd has him with what three different forms of drugs 447 00:22:11,480 --> 00:22:14,040 Speaker 3: in his system. The film, the video of him when 448 00:22:14,040 --> 00:22:16,000 Speaker 3: he was trying to pass the counterfeit money in the 449 00:22:16,359 --> 00:22:21,600 Speaker 3: badega before the cops came. If you look at the 450 00:22:21,720 --> 00:22:24,439 Speaker 3: video in that documentary that came out about it, you 451 00:22:24,480 --> 00:22:26,439 Speaker 3: can see him swallow a pill when the cops come 452 00:22:26,520 --> 00:22:28,480 Speaker 3: up to him because they want to get caught with possession. 453 00:22:29,160 --> 00:22:32,960 Speaker 3: There are mitigating factors. Now, I do not want to 454 00:22:32,960 --> 00:22:35,919 Speaker 3: relitigate that whole thing just because you really have to 455 00:22:35,920 --> 00:22:38,800 Speaker 3: go deep on it, and the documentary that came out 456 00:22:38,840 --> 00:22:41,560 Speaker 3: about it, there was pushback on that as well. 457 00:22:41,600 --> 00:22:42,080 Speaker 2: And I'm not. 458 00:22:42,080 --> 00:22:44,160 Speaker 3: Deep enough into it to be able to really speak 459 00:22:44,160 --> 00:22:48,720 Speaker 3: authoritatively about whether or not Chavn got a fair trial. 460 00:22:48,720 --> 00:22:50,680 Speaker 3: Didn't get a fair trial. Was it just a pyleon? 461 00:22:50,960 --> 00:22:53,600 Speaker 3: But what I will speak about is that the reaction 462 00:22:54,560 --> 00:23:01,080 Speaker 3: was completely a just an opportunistic chance for some of 463 00:23:01,119 --> 00:23:04,800 Speaker 3: the worst race hustlers in this country to get their 464 00:23:04,840 --> 00:23:07,800 Speaker 3: wish list. And as a result, you've got criminal justice 465 00:23:07,800 --> 00:23:11,320 Speaker 3: reforms that are now to this day, continuing to harm 466 00:23:11,359 --> 00:23:14,680 Speaker 3: the very communities who they ostensibly are supposed to help. 467 00:23:14,960 --> 00:23:18,880 Speaker 3: Because where the crimes are recurring, who gets shot young 468 00:23:18,920 --> 00:23:20,320 Speaker 3: black men, That's who gets shot. 469 00:23:20,400 --> 00:23:22,600 Speaker 2: That's just a matter of numbers. 470 00:23:23,080 --> 00:23:25,240 Speaker 3: But yet we're supposed to all, you know, sort of 471 00:23:25,280 --> 00:23:27,560 Speaker 3: hide our eyes and act like that's not going on. 472 00:23:27,920 --> 00:23:30,560 Speaker 3: That's who suffers from this thing, not the limousine liberals 473 00:23:30,600 --> 00:23:32,320 Speaker 3: who have penthouses on Park Avenue. 474 00:23:32,440 --> 00:23:34,640 Speaker 2: You know that, I know that in their hearts. Most 475 00:23:34,640 --> 00:23:36,720 Speaker 2: people know that. But it's about control. 476 00:23:37,240 --> 00:23:39,760 Speaker 3: And as I said, I was there and very clearly 477 00:23:39,840 --> 00:23:42,800 Speaker 3: she was part of that whole opportunistic pylon. 478 00:23:43,400 --> 00:23:46,399 Speaker 2: And it's amazing that she left herself open to this. 479 00:23:48,240 --> 00:23:51,399 Speaker 1: Although it's sort of rich that in New York City, 480 00:23:52,040 --> 00:23:54,160 Speaker 1: it's like she's doing the very thing she went after 481 00:23:54,200 --> 00:23:57,439 Speaker 1: Donald Trump did or didn't do. I mean, there's you know, 482 00:23:57,440 --> 00:24:00,240 Speaker 1: there's questions about because there weren't. The banks were happy 483 00:24:00,280 --> 00:24:01,760 Speaker 1: with him, right, Like they didn't feel like they were 484 00:24:01,760 --> 00:24:05,320 Speaker 1: defrauded or anything. So that's true, you know, So she 485 00:24:05,400 --> 00:24:09,640 Speaker 1: goes after him while knowing full well that she has 486 00:24:09,720 --> 00:24:14,320 Speaker 1: done you know, worse probably right well, then going after 487 00:24:14,520 --> 00:24:16,600 Speaker 1: you know, and then New York City goes after people 488 00:24:16,680 --> 00:24:20,800 Speaker 1: like Daniel Penny or jose Alba for trying to defend 489 00:24:20,880 --> 00:24:24,679 Speaker 1: themselves meanwhile letting criminals out on the streets. It's like, 490 00:24:25,440 --> 00:24:29,400 Speaker 1: what the hell is justice in a city like New York. 491 00:24:29,920 --> 00:24:31,679 Speaker 3: Yeah, you got to really ask yourself. And you know, 492 00:24:32,240 --> 00:24:34,960 Speaker 3: we're now teed up, and you know, I tell people 493 00:24:35,040 --> 00:24:37,000 Speaker 3: this and I get these incredulous looks. You know, we're 494 00:24:37,040 --> 00:24:40,160 Speaker 3: teed up for an ancient Cuomo mayoralty. He's gonna win 495 00:24:41,119 --> 00:24:44,760 Speaker 3: barring something crazy. And it's an amazing thing because it's 496 00:24:44,840 --> 00:24:47,119 Speaker 3: it's it's an amazing thing to watch because what it 497 00:24:47,200 --> 00:24:52,480 Speaker 3: is is hyper progressive, especially in Manhattan Island where I live, 498 00:24:53,440 --> 00:24:56,040 Speaker 3: that have to sort of cut a deal with themselves. 499 00:24:56,560 --> 00:24:59,080 Speaker 3: There is there's no universe under which they could vote 500 00:24:59,119 --> 00:25:02,280 Speaker 3: for even a min Republican or even an independent who 501 00:25:02,320 --> 00:25:04,119 Speaker 3: leans to the right. There's a guy named Jim Walden 502 00:25:04,160 --> 00:25:10,439 Speaker 3: here who is probably center right, maybe just center. You know, 503 00:25:10,560 --> 00:25:12,800 Speaker 3: there's just no way they can bring themselves to do that, 504 00:25:12,920 --> 00:25:17,560 Speaker 3: so they would rather But voting for Cuomo is something 505 00:25:17,600 --> 00:25:20,920 Speaker 3: of an admission of how wrong they've gotten things, because 506 00:25:20,960 --> 00:25:23,920 Speaker 3: Cuomo is running on a platform of just the kind 507 00:25:23,960 --> 00:25:26,240 Speaker 3: of things you and I are talking about, restoring law 508 00:25:26,280 --> 00:25:29,320 Speaker 3: and order, getting the homeless off the streets, restoring some 509 00:25:29,440 --> 00:25:33,520 Speaker 3: sanity to the city. And yet they know he's the 510 00:25:33,520 --> 00:25:36,840 Speaker 3: one who signed the bills that created a lot of this. 511 00:25:37,040 --> 00:25:40,040 Speaker 3: He signed into law not only. 512 00:25:39,920 --> 00:25:43,880 Speaker 2: All the COVID mess, but the criminal justice reforms that 513 00:25:43,960 --> 00:25:46,960 Speaker 2: have just completely destroyed quality of life in New York City. Okay, 514 00:25:47,000 --> 00:25:47,600 Speaker 2: what anybody says. 515 00:25:47,640 --> 00:25:50,600 Speaker 3: I'm living here my whole life, in various capacities, and 516 00:25:51,320 --> 00:25:52,920 Speaker 3: it was really in a. 517 00:25:52,880 --> 00:25:54,000 Speaker 2: Renaissance this town. 518 00:25:54,119 --> 00:25:56,240 Speaker 3: You know, the tourism was going up every year, it 519 00:25:56,280 --> 00:25:59,280 Speaker 3: will breaking new records, crime drafts were going up every year, 520 00:25:59,800 --> 00:26:02,159 Speaker 3: and that was just too successful for everybody. And so 521 00:26:02,320 --> 00:26:06,040 Speaker 3: did the Blasio administration and collusion with the Cuomo administration 522 00:26:06,240 --> 00:26:10,200 Speaker 3: on the state level past this slate of criminal justice 523 00:26:10,240 --> 00:26:14,360 Speaker 3: reforms that was still suffering from. But the left cannot 524 00:26:14,520 --> 00:26:17,240 Speaker 3: countenance the idea that we're going to undo that stuff. 525 00:26:17,240 --> 00:26:21,600 Speaker 3: They're fighting every little incremental attempt to change, and Cuomo 526 00:26:21,760 --> 00:26:24,199 Speaker 3: is their grand bargain. Well, you know what, he had 527 00:26:24,200 --> 00:26:27,480 Speaker 3: a bunch of sex harassment stuff. Yeah, he paused a 528 00:26:27,480 --> 00:26:29,040 Speaker 3: lot of this, but you know what he's saying, the 529 00:26:29,080 --> 00:26:31,960 Speaker 3: right things will look away, and he's going to be 530 00:26:32,000 --> 00:26:34,119 Speaker 3: the next mayor, and he probably will be for eight years. 531 00:26:34,359 --> 00:26:35,359 Speaker 2: We've got more of Paul. 532 00:26:35,400 --> 00:26:38,240 Speaker 1: But first, I want to tell you a really great story. 533 00:26:38,920 --> 00:26:44,000 Speaker 1: It's heartwarming, it's refreshing, and most important, it's true. So 534 00:26:44,040 --> 00:26:47,280 Speaker 1: a lady named Philis walks into the neighborhood pharmacy in Colonia, 535 00:26:47,320 --> 00:26:50,680 Speaker 1: New Jersey, and she asked the pharmacist for an antioxidant 536 00:26:50,760 --> 00:26:53,720 Speaker 1: cream for a wrinkles. Now, the pharmacist says, look, I 537 00:26:53,720 --> 00:26:55,440 Speaker 1: don't know what you're looking for right now, but all 538 00:26:55,440 --> 00:26:59,119 Speaker 1: compound one come back tomorrow. So Philis gets the cream, 539 00:26:59,240 --> 00:27:01,520 Speaker 1: she uses it for three days. She goes to her 540 00:27:01,560 --> 00:27:05,000 Speaker 1: dermatology appointment and the doctor, just by looking at her 541 00:27:05,040 --> 00:27:08,120 Speaker 1: thinks that well, Phyllis has probably had some work done. Now, 542 00:27:08,119 --> 00:27:11,320 Speaker 1: Phillis tells everyone about the pharmacy and the pharmacist who 543 00:27:11,320 --> 00:27:14,639 Speaker 1: makes this magical cream, and that's believe it or not, 544 00:27:14,800 --> 00:27:18,320 Speaker 1: how Genucell's skincare was born, and that was twenty five 545 00:27:18,400 --> 00:27:22,159 Speaker 1: years ago. Genucell has shipped millions of orders, yet they 546 00:27:22,200 --> 00:27:25,320 Speaker 1: still have that same philosophy of antioxidants at same natural 547 00:27:25,359 --> 00:27:29,040 Speaker 1: base and that same chef in the kitchen mentality. Celebrating 548 00:27:29,080 --> 00:27:32,480 Speaker 1: twenty five years, Genucell is offering the best pricing since 549 00:27:32,480 --> 00:27:36,480 Speaker 1: Phyllis walked into Georaci all those years ago, and right 550 00:27:36,480 --> 00:27:39,520 Speaker 1: now you can save over seventy percent off Genucell's complete 551 00:27:39,520 --> 00:27:43,680 Speaker 1: skincare package featuring the Genucell under Eyebags and Puffiness serum, 552 00:27:43,960 --> 00:27:47,879 Speaker 1: the Exity hydrating moisturizer, and immediate effects for results in 553 00:27:48,040 --> 00:27:52,359 Speaker 1: just minutes, Look five, ten, even fifteen years younger guaranteed 554 00:27:52,520 --> 00:27:56,440 Speaker 1: or your money back. Go to genucel dot com slash Lisa. 555 00:27:56,680 --> 00:28:00,720 Speaker 1: That's genucell dot com slash Lisa. Every order includes free 556 00:28:00,760 --> 00:28:04,600 Speaker 1: shipping and use Lisa at checkout for an extra discount. 557 00:28:05,040 --> 00:28:08,760 Speaker 1: Jenny Cell dot com slash Lisa. That's Jenny cell dot 558 00:28:08,840 --> 00:28:16,719 Speaker 1: com slash Lisa. We also talked about before about how 559 00:28:16,960 --> 00:28:20,280 Speaker 1: like even the statistics for crime in places like New 560 00:28:20,320 --> 00:28:23,360 Speaker 1: York City don't matter as much if people aren't being 561 00:28:23,480 --> 00:28:26,800 Speaker 1: arrested and so like they don't really gauge how bad 562 00:28:26,920 --> 00:28:31,040 Speaker 1: things are if you know, these criminals aren't being arrested 563 00:28:31,119 --> 00:28:35,520 Speaker 1: and thrown minds are behind the bars, right, So like 564 00:28:35,560 --> 00:28:38,520 Speaker 1: even those numbers don't give like the full picture, right 565 00:28:38,640 --> 00:28:41,000 Speaker 1: for places like New York City and some of these cities. 566 00:28:41,760 --> 00:28:43,720 Speaker 2: Yeah, no, that's absolutely right. 567 00:28:43,760 --> 00:28:52,600 Speaker 3: The confluence of the insurance industry and the criminals, justice reforms, 568 00:28:52,640 --> 00:28:56,080 Speaker 3: the bail reforms, et cetera. That's really the sort of 569 00:28:56,360 --> 00:28:58,520 Speaker 3: sour spot and sweet spot whereld. 570 00:28:58,280 --> 00:28:59,000 Speaker 2: This comes together. 571 00:28:59,120 --> 00:29:02,440 Speaker 3: Because it's why in New York we lock up our 572 00:29:02,480 --> 00:29:04,600 Speaker 3: toothpaste but not our criminals. 573 00:29:05,280 --> 00:29:07,480 Speaker 2: Because if you are a Rite. 574 00:29:07,280 --> 00:29:09,760 Speaker 3: Eight or a CVS or any of the big you know, 575 00:29:09,960 --> 00:29:12,120 Speaker 3: drug store chains around the city and there's you know, 576 00:29:12,160 --> 00:29:15,320 Speaker 3: a leth of them, you don't even call the police 577 00:29:15,360 --> 00:29:18,240 Speaker 3: anymore because if you do, they come. 578 00:29:18,360 --> 00:29:20,800 Speaker 2: That's a report. Your insurance goes up. 579 00:29:20,960 --> 00:29:23,120 Speaker 3: If a security guard very often loves north through the 580 00:29:23,200 --> 00:29:25,400 Speaker 3: cup tussles with a homeless person who comes in and 581 00:29:25,440 --> 00:29:28,360 Speaker 3: just fills a bag work with stuff and leaves, you 582 00:29:28,760 --> 00:29:32,400 Speaker 3: then end up having a complaint and there is a 583 00:29:32,400 --> 00:29:35,160 Speaker 3: host of lawyers lined up to sue over that, and 584 00:29:35,200 --> 00:29:37,040 Speaker 3: the insurance companies will tell you, well, you got to 585 00:29:37,040 --> 00:29:39,360 Speaker 3: get rid of that security guard, otherwise we're going to 586 00:29:39,480 --> 00:29:43,800 Speaker 3: drop you. The local precinct doesn't want to catch these numbers. 587 00:29:44,040 --> 00:29:46,880 Speaker 3: They don't even a misdemeanor number. Okay, they'll live with that. 588 00:29:47,160 --> 00:29:50,080 Speaker 3: But if a security guard tussles with a homeless guy 589 00:29:50,080 --> 00:29:53,000 Speaker 3: who's stealing toothpaste, now it bumps to a felony robbery. 590 00:29:53,400 --> 00:29:55,200 Speaker 2: Now the crime statistics go up. 591 00:29:55,520 --> 00:29:58,040 Speaker 3: So there is this, you know, sort of metric that 592 00:29:58,360 --> 00:30:02,320 Speaker 3: is tacit here that everybody is trying to avoid, which 593 00:30:02,360 --> 00:30:04,360 Speaker 3: is any of these quality of life crimes. They could 594 00:30:04,400 --> 00:30:07,000 Speaker 3: make things look worse to downtown, where all of this 595 00:30:07,000 --> 00:30:10,240 Speaker 3: stuff is counted up and where the newspapers get their articles, 596 00:30:10,280 --> 00:30:13,160 Speaker 3: and so as the result, there's this whole shadow world 597 00:30:13,200 --> 00:30:16,200 Speaker 3: of crime that nobody acknowledges. And look, we have a 598 00:30:16,240 --> 00:30:19,440 Speaker 3: pretty good police commission. Now, she's Jessica Titius doing what 599 00:30:19,520 --> 00:30:23,160 Speaker 3: she can. But the cops and she are operating within 600 00:30:23,200 --> 00:30:26,920 Speaker 3: a system that's just being gained against them. This system 601 00:30:27,120 --> 00:30:30,680 Speaker 3: hates the police, hates the prosecutors. Really, I hear just 602 00:30:30,720 --> 00:30:33,520 Speaker 3: as much grief from line level prosecutors as I do 603 00:30:33,600 --> 00:30:36,200 Speaker 3: from the cops themselves. They just can't get a case 604 00:30:36,240 --> 00:30:39,440 Speaker 3: to trial, everything is dropped. It's dropped down at the 605 00:30:39,520 --> 00:30:41,720 Speaker 3: least from a felony to a misdemeanor. And all these 606 00:30:41,720 --> 00:30:45,440 Speaker 3: things are done to perpetuate a fiction that the city 607 00:30:45,640 --> 00:30:47,520 Speaker 3: is as safe as it used to be, and it's 608 00:30:47,600 --> 00:30:47,840 Speaker 3: just not. 609 00:30:49,280 --> 00:30:52,800 Speaker 1: Do you think so, tiss James's just James is running 610 00:30:52,840 --> 00:30:56,200 Speaker 1: for reelection as attorney in New York Atraney General twenty 611 00:30:56,280 --> 00:31:00,680 Speaker 1: twenty six. Do you think this mortgage stuff, how quickly 612 00:31:00,800 --> 00:31:02,840 Speaker 1: could it pick up? I wonder how much of an 613 00:31:02,840 --> 00:31:07,600 Speaker 1: impact that would have on the Attorney General's race. 614 00:31:08,280 --> 00:31:10,440 Speaker 2: I think she's done. Yeah. 615 00:31:10,520 --> 00:31:13,120 Speaker 3: You know, like if this were the Biden administration, I 616 00:31:13,160 --> 00:31:14,960 Speaker 3: would say, well, you know what, they'll just let it 617 00:31:15,000 --> 00:31:17,280 Speaker 3: sit there and it'll die, and they'll just obfuscate it 618 00:31:17,320 --> 00:31:21,880 Speaker 3: because that was a a I was an administration that 619 00:31:22,000 --> 00:31:26,880 Speaker 3: had no soul that the complete farce at the southern 620 00:31:26,880 --> 00:31:29,920 Speaker 3: border was proof of that, never mind a host of 621 00:31:29,960 --> 00:31:30,680 Speaker 3: other things that are not. 622 00:31:30,800 --> 00:31:32,960 Speaker 2: But I mean, what, there was not one federal case. 623 00:31:33,000 --> 00:31:35,440 Speaker 3: Think about that. There was not one DOJ case against 624 00:31:35,440 --> 00:31:40,440 Speaker 3: Trendy Aragua. They didn't make one conspiracy case or gang case, 625 00:31:40,520 --> 00:31:44,280 Speaker 3: gang you know, a Rico case, nothing like that against 626 00:31:44,280 --> 00:31:47,000 Speaker 3: any of these guys, they just decided to punt. 627 00:31:47,120 --> 00:31:48,479 Speaker 2: I don't know what the heck they did. 628 00:31:48,520 --> 00:31:50,400 Speaker 3: They had literally had hey have you seen the numbers 629 00:31:50,440 --> 00:31:53,360 Speaker 3: half of the FBI working on the January sixth thing, 630 00:31:54,440 --> 00:31:56,760 Speaker 3: and in metric there and I have this direct from 631 00:31:56,800 --> 00:31:59,560 Speaker 3: a source was that if your foot touched the Capital steps, 632 00:32:00,200 --> 00:32:00,680 Speaker 3: you were going. 633 00:32:00,600 --> 00:32:01,160 Speaker 2: To get arrested. 634 00:32:01,200 --> 00:32:05,320 Speaker 3: And so they had hand the FBI scanning videos looking 635 00:32:05,360 --> 00:32:07,840 Speaker 3: for old ladies whose feet touched the steps and then 636 00:32:07,840 --> 00:32:10,200 Speaker 3: trying to use facial recognition software to figure out who 637 00:32:10,200 --> 00:32:12,280 Speaker 3: they were to go out and make an arrest. And 638 00:32:12,360 --> 00:32:14,320 Speaker 3: I don't have to really even speculate that much. And 639 00:32:14,360 --> 00:32:15,880 Speaker 3: I was talking to somebody who was on an FBI 640 00:32:15,960 --> 00:32:18,000 Speaker 3: test force the other day, who I guess is a source. 641 00:32:18,080 --> 00:32:18,960 Speaker 2: Now he's an old friend. 642 00:32:19,360 --> 00:32:22,360 Speaker 3: Told me that when Donald Trump won, there were FBI 643 00:32:22,520 --> 00:32:26,640 Speaker 3: agents at their desks with their heads down crying. And 644 00:32:26,680 --> 00:32:30,080 Speaker 3: I said, and I said to him, you know men, 645 00:32:30,960 --> 00:32:33,120 Speaker 3: and he was, yeah, yeah, young men. 646 00:32:33,720 --> 00:32:34,400 Speaker 2: In the FBI. 647 00:32:34,720 --> 00:32:35,959 Speaker 3: You know this is these are the guys who will 648 00:32:36,000 --> 00:32:39,120 Speaker 3: hired during the Obama years and everything else. So the 649 00:32:39,160 --> 00:32:41,360 Speaker 3: old FBI a lot of respect for and then truth, 650 00:32:41,720 --> 00:32:43,480 Speaker 3: you know in advertising here, I don't know I see 651 00:32:43,480 --> 00:32:44,680 Speaker 3: eye to eye with them. You know, we had a 652 00:32:44,680 --> 00:32:46,760 Speaker 3: lot of interagency battles and all that. I got the 653 00:32:46,760 --> 00:32:47,560 Speaker 3: scars to prove it. 654 00:32:47,640 --> 00:32:48,920 Speaker 2: Some I one, so I lost. 655 00:32:49,320 --> 00:32:51,400 Speaker 3: Generally, it was better to just kind of cooperate and 656 00:32:51,440 --> 00:32:52,800 Speaker 3: try to find the middle ground, you know. 657 00:32:52,840 --> 00:32:55,840 Speaker 2: But I never took it personally. I saw very. 658 00:32:55,640 --> 00:32:57,960 Speaker 3: Few of them who I thought had some sort of 659 00:32:58,000 --> 00:32:59,560 Speaker 3: political ulterior motive. 660 00:33:00,600 --> 00:33:03,760 Speaker 2: I don't know that you can say that anymore. So 661 00:33:03,840 --> 00:33:05,560 Speaker 2: now with a Trump. 662 00:33:05,280 --> 00:33:07,680 Speaker 3: DOJ and with Pam Bondi in there, she's not going 663 00:33:07,760 --> 00:33:09,320 Speaker 3: to sit on this. She's going to look at this 664 00:33:09,400 --> 00:33:12,800 Speaker 3: and say, are you kidding? She gifted us this case. 665 00:33:13,320 --> 00:33:15,640 Speaker 3: This thing's going to a grand jury, and they're going 666 00:33:15,720 --> 00:33:18,040 Speaker 3: to get indictments. And I don't see how you can 667 00:33:18,080 --> 00:33:21,520 Speaker 3: be an attorney general when you may have a felony 668 00:33:21,560 --> 00:33:25,000 Speaker 3: indictment or prosecution and conviction. 669 00:33:24,760 --> 00:33:25,440 Speaker 2: On your record. 670 00:33:25,760 --> 00:33:27,920 Speaker 3: You're automatically going to lose your license. And you can't 671 00:33:27,920 --> 00:33:30,600 Speaker 3: be an attorney general without a law license. So I 672 00:33:30,640 --> 00:33:32,920 Speaker 3: think she's in real trouble. As I was saying earlier, 673 00:33:33,360 --> 00:33:35,920 Speaker 3: look it is at this point she hasn't been charged, 674 00:33:35,960 --> 00:33:38,640 Speaker 3: she hasn't been indicted, None of that stuff has happened. 675 00:33:38,960 --> 00:33:42,080 Speaker 3: But according to the stuff that's public, even some on 676 00:33:42,120 --> 00:33:44,760 Speaker 3: the left, and I won't name them, but this is 677 00:33:44,800 --> 00:33:47,560 Speaker 3: some news outlets on the left who are willing to 678 00:33:47,640 --> 00:33:50,920 Speaker 3: even say, yeah, it looks to be trouble here. Just 679 00:33:50,920 --> 00:33:52,840 Speaker 3: the fact that the New York Times reported on her 680 00:33:52,880 --> 00:33:54,960 Speaker 3: that must have killed them. But they had a report. 681 00:33:55,040 --> 00:33:57,280 Speaker 3: There's a lot of smoke here. The fact that they 682 00:33:57,280 --> 00:33:59,600 Speaker 3: would do that, when you consider how much stuff they're 683 00:33:59,600 --> 00:34:02,640 Speaker 3: willing to ignore, tells me that even they're willing to 684 00:34:02,680 --> 00:34:05,480 Speaker 3: accede to the idea that she really seems to have blundered. 685 00:34:06,240 --> 00:34:07,360 Speaker 2: Yeah, and so Paul, on. 686 00:34:07,280 --> 00:34:10,120 Speaker 1: That note before we go, obviously, you know you had 687 00:34:10,160 --> 00:34:12,200 Speaker 1: mentioned the New York Times that even some you know, 688 00:34:12,360 --> 00:34:14,959 Speaker 1: more liberal outlets are saying that what she did was bad. 689 00:34:14,960 --> 00:34:16,600 Speaker 1: But you know, there is going to be this argument 690 00:34:16,719 --> 00:34:19,920 Speaker 1: that it's a political persecution. The irony is that these 691 00:34:19,960 --> 00:34:22,440 Speaker 1: are going to be the people who wanted the FBI 692 00:34:22,840 --> 00:34:25,000 Speaker 1: and were cheering on what was happening to Donald Trump. 693 00:34:25,000 --> 00:34:29,440 Speaker 1: So the hypocrites. But is there any credibility to that 694 00:34:29,640 --> 00:34:32,160 Speaker 1: or is this just so bad and so blatant that 695 00:34:32,440 --> 00:34:33,799 Speaker 1: it needs to be prosecuted. 696 00:34:34,800 --> 00:34:39,120 Speaker 2: The latter because she's a public servant because she's supposed 697 00:34:39,120 --> 00:34:42,839 Speaker 2: to be New York State's top law enforcement officer and 698 00:34:42,920 --> 00:34:45,799 Speaker 2: top prosecutor. But you know what the irony is. 699 00:34:45,880 --> 00:34:49,400 Speaker 3: The GUYO discovered it, Sam Antar, who I referenced earlier. 700 00:34:49,920 --> 00:34:53,799 Speaker 3: He was arrested himself back in the seventies for a 701 00:34:53,840 --> 00:34:57,560 Speaker 3: financial crime and he ended up flipping. 702 00:34:57,600 --> 00:35:00,160 Speaker 2: He testified for the prosecution and. 703 00:35:00,400 --> 00:35:04,759 Speaker 3: Has since worked for the government assisting them since then. 704 00:35:04,800 --> 00:35:07,040 Speaker 3: So whatever, it's been forty fifty years working with the 705 00:35:07,080 --> 00:35:10,640 Speaker 3: government to help them put together financial crime cases. 706 00:35:11,000 --> 00:35:14,719 Speaker 2: He's a Democrat, He's not a Donald Trump. 707 00:35:14,800 --> 00:35:17,480 Speaker 3: He no, he hasn't had no contacts with the Donald 708 00:35:17,480 --> 00:35:19,440 Speaker 3: Trump regime administration. 709 00:35:19,560 --> 00:35:22,000 Speaker 2: So that argument is going to fall flash. 710 00:35:22,000 --> 00:35:24,200 Speaker 3: She's going to make it, and her proxies will make 711 00:35:24,239 --> 00:35:25,719 Speaker 3: it of course as well, but it's not going to 712 00:35:25,760 --> 00:35:28,360 Speaker 3: hold water. And I got to tell you the problem 713 00:35:28,400 --> 00:35:31,080 Speaker 3: for her is the documents. She's going to have to 714 00:35:31,080 --> 00:35:32,959 Speaker 3: what's she going to claim that the documents are fake? 715 00:35:33,000 --> 00:35:34,600 Speaker 3: The bank is going to give it all up. She's 716 00:35:34,600 --> 00:35:36,440 Speaker 3: going to have people that are going to be afraid 717 00:35:36,480 --> 00:35:37,719 Speaker 3: that they're going to get caught up in this. 718 00:35:37,800 --> 00:35:39,040 Speaker 2: And if the deal. 719 00:35:38,920 --> 00:35:40,960 Speaker 3: Is hey, look you're going to get charged with conspiracy 720 00:35:41,000 --> 00:35:43,879 Speaker 3: here or you're going to tell us what happened. You're 721 00:35:43,880 --> 00:35:45,959 Speaker 3: going to get some thirty year old loan officer who's 722 00:35:45,960 --> 00:35:47,600 Speaker 3: going to say, Wow, she was the attorney general. I 723 00:35:47,640 --> 00:35:49,919 Speaker 3: thought it was okay, but I guess I was wrong. Yeah, 724 00:35:49,960 --> 00:35:52,160 Speaker 3: these are her documents. I will attest to that. The 725 00:35:52,280 --> 00:35:54,640 Speaker 3: documents are authentic, and boom, you got her right there. 726 00:35:55,080 --> 00:35:58,080 Speaker 3: For all the fraud stuff we talked about, perjury, a 727 00:35:58,160 --> 00:36:01,040 Speaker 3: whole host of federal crimes because the banks are involved. 728 00:36:01,040 --> 00:36:03,480 Speaker 3: That bumps it all the federal and as I said, 729 00:36:03,520 --> 00:36:07,040 Speaker 3: she can spout all she wants, but they have the receipts. 730 00:36:07,600 --> 00:36:10,719 Speaker 1: Well, Paul, really interesting stuff. I'd love to have you 731 00:36:10,800 --> 00:36:15,520 Speaker 1: back on as this stuff like pops right, Like, I'd 732 00:36:15,560 --> 00:36:18,319 Speaker 1: love to have you on as we as we learn 733 00:36:18,360 --> 00:36:22,399 Speaker 1: more and as the investigation moves on. So it's it's 734 00:36:22,520 --> 00:36:24,480 Speaker 1: just like the Terney is just so rich. 735 00:36:24,600 --> 00:36:28,080 Speaker 2: It's just it's really amazing, it really is. I'd love 736 00:36:28,120 --> 00:36:29,880 Speaker 2: to come back. You let me know when. Yeah, I'll 737 00:36:29,920 --> 00:36:31,600 Speaker 2: keep you guys updated. You're the best. 738 00:36:31,640 --> 00:36:33,439 Speaker 1: I really appreciate your time. Good stuffs, very. 739 00:36:33,400 --> 00:36:36,040 Speaker 2: Interesting, good stuff. Sure, anytime, anytime, Thank of me. 740 00:36:36,560 --> 00:36:39,200 Speaker 1: That was Paul Morrow. We appreciate him making the time 741 00:36:39,239 --> 00:36:40,960 Speaker 1: to join the show. Appreciate you guys at home for 742 00:36:41,080 --> 00:36:43,880 Speaker 1: listening every Tuesday and Thursday, but you can listen throughout 743 00:36:43,920 --> 00:36:44,960 Speaker 1: the week until next time.