1 00:00:00,440 --> 00:00:03,240 Speaker 1: This is Buck's first thoughts. The news you need to 2 00:00:03,240 --> 00:00:05,840 Speaker 1: get for your day in forty five minutes. Make sure 3 00:00:05,880 --> 00:00:08,559 Speaker 1: you subscribe on the iHeart Act before wherever you get 4 00:00:08,560 --> 00:00:15,080 Speaker 1: your podcasts. Cuomo advisors altered report on COVID nineteen nursing 5 00:00:15,200 --> 00:00:18,840 Speaker 1: home debts. That was the story in the Wall Street 6 00:00:18,920 --> 00:00:22,319 Speaker 1: Journal just yesterday. I want to make sure that we 7 00:00:22,360 --> 00:00:24,720 Speaker 1: all focus in on this because I know the media 8 00:00:24,800 --> 00:00:28,280 Speaker 1: is spending a lot of time on the sexual harassment 9 00:00:28,440 --> 00:00:32,839 Speaker 1: allegations about Cuomo. And that's fine, he's a creepy old weirdo. 10 00:00:33,040 --> 00:00:35,839 Speaker 1: I get it. I'm with you on all that. But 11 00:00:36,000 --> 00:00:40,240 Speaker 1: what he did in the nursing home fiasco was far 12 00:00:40,440 --> 00:00:45,120 Speaker 1: more egregious as a matter of public conduct, and far 13 00:00:45,240 --> 00:00:48,919 Speaker 1: more damaging to the Democrat party and brand and the 14 00:00:49,000 --> 00:00:52,560 Speaker 1: media too. That's a mega scandal, not not a thing 15 00:00:52,640 --> 00:00:55,640 Speaker 1: that can be apologized for, not a thing that you 16 00:00:55,680 --> 00:00:58,080 Speaker 1: can just wave aside with a hand and a few 17 00:00:58,120 --> 00:01:02,080 Speaker 1: tears and say, oh the other times, I promise, that's 18 00:01:02,160 --> 00:01:05,800 Speaker 1: not the way this works. We need to continue to 19 00:01:05,840 --> 00:01:10,120 Speaker 1: hammer home the point here that Cuomo had people on 20 00:01:10,200 --> 00:01:15,600 Speaker 1: his staff intentionally change numbers about deaths during a pandemic. 21 00:01:16,080 --> 00:01:21,520 Speaker 1: This would be like a general lying about troops killed 22 00:01:21,560 --> 00:01:25,319 Speaker 1: in battle so he could keep his job. That's how 23 00:01:25,360 --> 00:01:28,319 Speaker 1: serious this is. You have to understand the degree to 24 00:01:28,360 --> 00:01:32,880 Speaker 1: which this change thinking and this mattered at this period 25 00:01:32,920 --> 00:01:39,959 Speaker 1: in time of extremely important and tense decision making. Maybe 26 00:01:40,000 --> 00:01:42,319 Speaker 1: people would have thought differently about, Oh, I don't know, 27 00:01:42,600 --> 00:01:46,840 Speaker 1: the great Barrington Declaration about focused protection for seniors if 28 00:01:46,880 --> 00:01:52,200 Speaker 1: they had known just how egregious the government misconduct, how 29 00:01:52,600 --> 00:01:55,320 Speaker 1: awful the decision making was in New York. Remember New 30 00:01:55,400 --> 00:01:59,000 Speaker 1: York and New Jersey number two and number one, respectively 31 00:01:59,400 --> 00:02:02,040 Speaker 1: for COVID death per one hundred thousand people in the 32 00:02:02,120 --> 00:02:06,760 Speaker 1: United States, both very deep blue Democrats states. Let's remember that. 33 00:02:07,240 --> 00:02:12,280 Speaker 1: And yet somehow Cuomo was a hero. He was second 34 00:02:12,440 --> 00:02:16,320 Speaker 1: only to Fauci, to whom I can only say he 35 00:02:16,360 --> 00:02:20,800 Speaker 1: needs to go Fauci himself, second only to Fauci in 36 00:02:20,880 --> 00:02:23,919 Speaker 1: terms of the hero worship from the media. What the 37 00:02:23,960 --> 00:02:26,480 Speaker 1: heck was this all about? How did this even happen? 38 00:02:27,720 --> 00:02:30,320 Speaker 1: There's so much going on here. First of all, you 39 00:02:30,440 --> 00:02:33,280 Speaker 1: have the fact that if you're a Democrat, you can 40 00:02:33,400 --> 00:02:36,119 Speaker 1: get away with things that you would never be able 41 00:02:36,160 --> 00:02:40,280 Speaker 1: to if this were a Republican. Imagine this were Christy Gnome. 42 00:02:40,880 --> 00:02:46,560 Speaker 1: Imagine this were Ron Descantists. If Ron Descantists hid fifteen 43 00:02:46,760 --> 00:02:51,079 Speaker 1: thousand nursing home deaths by by undercounting it by fifty percent, 44 00:02:51,160 --> 00:02:54,200 Speaker 1: So whatever they said it was roughly you got seventy 45 00:02:54,200 --> 00:02:57,680 Speaker 1: five hundred. Let's say something along that along those lines. 46 00:02:57,880 --> 00:02:59,880 Speaker 1: If he said that it was seventy five hundred, it 47 00:02:59,919 --> 00:03:05,600 Speaker 1: was really fifteen thousand. People would be demanding not only 48 00:03:06,360 --> 00:03:09,200 Speaker 1: he resigned. And when I say people, I mean universal. 49 00:03:09,360 --> 00:03:12,560 Speaker 1: There would be universal, nationwide condemnation. In the media. It 50 00:03:12,560 --> 00:03:15,720 Speaker 1: would be the top story. And there's just this kind 51 00:03:15,760 --> 00:03:20,440 Speaker 1: of muted, halfhearted reportage on it from the Democrat outlets. 52 00:03:20,480 --> 00:03:24,400 Speaker 1: You know, yeah, it looks like maybe a crazy thing happened. 53 00:03:24,440 --> 00:03:28,600 Speaker 1: Man Cuomo was undercounting nursing home deaths by I don't know, 54 00:03:28,720 --> 00:03:32,680 Speaker 1: like fifty percent or something. Wow, they really don't math 55 00:03:33,000 --> 00:03:36,880 Speaker 1: so good over in the Cuomo office, do they. Yeah, 56 00:03:37,120 --> 00:03:43,600 Speaker 1: tough to do addition and subtraction. This mattered immensely. And 57 00:03:43,720 --> 00:03:46,800 Speaker 1: if this were a Rhonda Santists, it would be the 58 00:03:46,920 --> 00:03:49,040 Speaker 1: number one news story. I mean, you know, you remember 59 00:03:49,080 --> 00:03:52,240 Speaker 1: when during the Bush administration there was that misconduct in 60 00:03:52,920 --> 00:03:56,000 Speaker 1: Abu Grabe and that was on the front page of 61 00:03:56,040 --> 00:03:58,360 Speaker 1: the newspaper day after day after day after day, and 62 00:03:58,480 --> 00:04:01,119 Speaker 1: I remember being a pretty young guy at the time 63 00:04:01,120 --> 00:04:03,480 Speaker 1: and saying, Wow, So this is how you make a 64 00:04:03,600 --> 00:04:07,040 Speaker 1: story really stick. This is how you really tear down 65 00:04:07,080 --> 00:04:09,800 Speaker 1: an administration with the story. I mean, George Bush wasn't 66 00:04:09,840 --> 00:04:11,920 Speaker 1: giving that order, but Abu Gray was on the front 67 00:04:11,920 --> 00:04:14,160 Speaker 1: page of the newspaper of the New York Times, for example, 68 00:04:14,720 --> 00:04:17,680 Speaker 1: I want to say twenty out of thirty days or 69 00:04:17,680 --> 00:04:19,320 Speaker 1: something like that. It was a long time ago, but 70 00:04:19,360 --> 00:04:24,400 Speaker 1: it was so much coverage of it, just saturation saturation coverage, 71 00:04:25,040 --> 00:04:27,039 Speaker 1: And they could do the same thing with promo. This 72 00:04:27,120 --> 00:04:30,760 Speaker 1: is a really big deal. We've had Democrats and we've 73 00:04:30,800 --> 00:04:35,320 Speaker 1: had the corporate media lecturing us month after month after 74 00:04:35,400 --> 00:04:39,039 Speaker 1: month about listening to the data, obeying the science, doing 75 00:04:39,080 --> 00:04:43,160 Speaker 1: what Fauci tells us, and the hero of the pandemic 76 00:04:43,320 --> 00:04:47,960 Speaker 1: was actually the villain. And we're not supposed to think 77 00:04:47,960 --> 00:04:50,920 Speaker 1: that this is indicative of broader problems and the way 78 00:04:50,960 --> 00:04:53,840 Speaker 1: they approached this whole thing in twenty twenty. We're not 79 00:04:53,839 --> 00:04:57,160 Speaker 1: supposed to make the connection that clearly they were willing 80 00:04:57,920 --> 00:05:01,120 Speaker 1: to go along with this in part because they knew 81 00:05:01,160 --> 00:05:05,960 Speaker 1: that Cuomo was a useful weapon against Donald Trump in 82 00:05:05,960 --> 00:05:11,279 Speaker 1: the election year. That Orange man bad who liked hydroxychloroquin 83 00:05:11,360 --> 00:05:15,240 Speaker 1: as an idea, and you know, wasn't running around quadruple 84 00:05:15,279 --> 00:05:19,000 Speaker 1: masking that maybe they were a little bit unfair to 85 00:05:19,040 --> 00:05:23,080 Speaker 1: the point of sheer dishonesty about Trump in the election 86 00:05:23,200 --> 00:05:25,640 Speaker 1: year and were willing to prop up people like Cuomo. 87 00:05:26,320 --> 00:05:30,040 Speaker 1: Here's this piece the Wall Street Journal New York's Andrew Cuomo. 88 00:05:30,360 --> 00:05:33,960 Speaker 1: New York Governor Andrew Cuomo's top advisors successfully pushed state 89 00:05:34,000 --> 00:05:38,799 Speaker 1: health officials to strip a public health report of data 90 00:05:39,000 --> 00:05:41,400 Speaker 1: showing that more nursing home residents had died of COVID 91 00:05:41,520 --> 00:05:46,760 Speaker 1: nineteen than the administration had acknowledged. The July report, which 92 00:05:46,800 --> 00:05:49,200 Speaker 1: examined the factors that led to the spread of the 93 00:05:49,279 --> 00:05:52,720 Speaker 1: virus in nursing homes, focused only on residents who died 94 00:05:52,839 --> 00:05:56,680 Speaker 1: inside long term care facilities, leaving out those who had 95 00:05:56,720 --> 00:06:00,880 Speaker 1: died in hospitals after becoming sick in nursing home. As 96 00:06:00,880 --> 00:06:03,440 Speaker 1: a result, the report said six thousand, four hundred and 97 00:06:03,440 --> 00:06:08,159 Speaker 1: thirty two nursing home residents had died, a significant undercount 98 00:06:08,240 --> 00:06:11,640 Speaker 1: of the death toll attributed to the state's most vulnerable population. 99 00:06:12,000 --> 00:06:15,280 Speaker 1: The people said. The initial version of the report said 100 00:06:15,320 --> 00:06:18,800 Speaker 1: nearly ten thousand nursing home residents had died in New 101 00:06:18,880 --> 00:06:22,080 Speaker 1: York by July late last year. One of the people said, 102 00:06:22,520 --> 00:06:28,120 Speaker 1: according to those with knowledge of the report, unbelievable. They 103 00:06:28,120 --> 00:06:30,520 Speaker 1: went from ten thousand to six hours. That's a pretty 104 00:06:30,640 --> 00:06:35,760 Speaker 1: big difference, isn't it. Why would they do that well, 105 00:06:35,800 --> 00:06:40,400 Speaker 1: because they knew that that number would really shock people, 106 00:06:41,120 --> 00:06:43,440 Speaker 1: and they knew that other states that also have senior 107 00:06:43,480 --> 00:06:46,760 Speaker 1: citizens would be a point of comparison. And what they're 108 00:06:46,760 --> 00:06:48,360 Speaker 1: now going to be able to do is say, hold 109 00:06:48,400 --> 00:06:52,560 Speaker 1: on a second. The data was fudged here in a 110 00:06:52,600 --> 00:06:56,400 Speaker 1: way that was meant to prevent accurate comparison. How can 111 00:06:56,440 --> 00:06:59,680 Speaker 1: you know whether your public health officials? How could you 112 00:06:59,680 --> 00:07:02,120 Speaker 1: know whether your governor is doing a good job when 113 00:07:02,160 --> 00:07:05,760 Speaker 1: they're lying about the very data that they claim is 114 00:07:05,800 --> 00:07:09,920 Speaker 1: supporting their position. And let me tell you this right now, 115 00:07:10,120 --> 00:07:12,640 Speaker 1: this is not the only instance. It may be the 116 00:07:12,640 --> 00:07:17,360 Speaker 1: most egregious, but the only instance of fraud through numbers 117 00:07:17,440 --> 00:07:21,000 Speaker 1: manipulation during this pandemic. We will find more of this. 118 00:07:21,800 --> 00:07:25,440 Speaker 1: There are other cases where people either cherry pick numbers, 119 00:07:25,440 --> 00:07:29,720 Speaker 1: and I'm talking about governor's state health officials, maybe even 120 00:07:29,720 --> 00:07:33,520 Speaker 1: Fauci himself. They cherry pick data to fit a preferred 121 00:07:33,600 --> 00:07:37,000 Speaker 1: narrative and suppressed anything that challenged what they wanted the 122 00:07:37,040 --> 00:07:41,200 Speaker 1: people to believe. If this were if Chromo were the 123 00:07:41,280 --> 00:07:45,160 Speaker 1: CEO of a publicly traded company, or any company for 124 00:07:45,200 --> 00:07:48,640 Speaker 1: that matter, if Chromo were the CEO of a private corporation, 125 00:07:49,480 --> 00:07:53,880 Speaker 1: this kind of activity of hiding numbers like this, if 126 00:07:53,920 --> 00:07:55,720 Speaker 1: they were profit numbers, for example. I mean, if he 127 00:07:55,760 --> 00:07:58,640 Speaker 1: were cooking the books, he'd be facing prison time. But 128 00:07:58,720 --> 00:08:02,400 Speaker 1: he cooked the books in eventually on deaths during a pandemic, 129 00:08:02,720 --> 00:08:07,080 Speaker 1: when decisions were being made that were directly affecting and 130 00:08:07,120 --> 00:08:09,760 Speaker 1: in some cases, as we see now, causing those deaths, 131 00:08:11,040 --> 00:08:15,760 Speaker 1: and we're supposed to just forget about it, no big deal. 132 00:08:16,120 --> 00:08:19,040 Speaker 1: Everybody was doing their best. Cuomo was giving us such 133 00:08:19,080 --> 00:08:22,200 Speaker 1: great press conferences. His brother over at CNN was doing 134 00:08:22,200 --> 00:08:24,320 Speaker 1: such funny stuff with him at night. They should have 135 00:08:24,320 --> 00:08:27,360 Speaker 1: had a duo show. Well, I guess they did. These 136 00:08:27,440 --> 00:08:30,120 Speaker 1: are the people, these are the voices, These are the 137 00:08:30,120 --> 00:08:34,760 Speaker 1: platforms out there, all these different Democrat and Cuomo aligned 138 00:08:35,200 --> 00:08:38,199 Speaker 1: groups and individuals who have been telling you all on 139 00:08:38,360 --> 00:08:42,640 Speaker 1: to trust them believe them, and they missed. And they 140 00:08:42,679 --> 00:08:46,560 Speaker 1: also slowed this down right. That was another part of it. 141 00:08:46,679 --> 00:08:50,480 Speaker 1: They were hoping to delay this, and they managed to 142 00:08:50,480 --> 00:08:52,880 Speaker 1: delay until after the election, which is why now they're 143 00:08:52,880 --> 00:08:56,079 Speaker 1: willing to finally let this all go. Why now you're 144 00:08:56,120 --> 00:08:59,400 Speaker 1: seeing all the sexual harassment stories and you know there 145 00:08:59,400 --> 00:09:02,199 Speaker 1: are people who are actually sitting down to do interviews 146 00:09:02,200 --> 00:09:06,839 Speaker 1: with the accusers. All this is happening because Cuomo's extreme 147 00:09:07,040 --> 00:09:10,560 Speaker 1: usefulness has passed. You know, you see this with Cuomo, 148 00:09:10,600 --> 00:09:13,200 Speaker 1: it reminds me of what I believe will happen soon 149 00:09:13,240 --> 00:09:17,600 Speaker 1: with Joe Biden, where eventually the Democrats will no longer 150 00:09:17,640 --> 00:09:21,200 Speaker 1: be able to prop up Hiden Biden, who's declining. We'll 151 00:09:21,240 --> 00:09:24,079 Speaker 1: figure out this guy really isn't up for this. It'll 152 00:09:24,080 --> 00:09:28,320 Speaker 1: be apparent, it'll be embarrassing, it'll be sad, and they'll say, oh, yeah, sorry, 153 00:09:28,320 --> 00:09:31,080 Speaker 1: I guess we missed that. But he beat Trump, didn't he. 154 00:09:31,800 --> 00:09:34,679 Speaker 1: This is how they play the game. It's the Harry 155 00:09:34,720 --> 00:09:37,800 Speaker 1: Reid approach to politics. Remember Harry Reid lied about Mitt 156 00:09:37,840 --> 00:09:40,000 Speaker 1: Romney's tax returns. You know, I'm no Mitt Romney fan, 157 00:09:40,440 --> 00:09:44,440 Speaker 1: but when asked about this, just complete slander. Harry Reid 158 00:09:44,520 --> 00:09:46,840 Speaker 1: laughed and said he didn't win, did he? And he 159 00:09:46,920 --> 00:09:50,400 Speaker 1: was right. This is how democrats, this is how your 160 00:09:50,400 --> 00:09:54,400 Speaker 1: corporate media approaches their job. They are on a team. 161 00:09:54,679 --> 00:09:57,080 Speaker 1: They have picked a side, and in this case of 162 00:09:57,160 --> 00:10:00,760 Speaker 1: Governor Cuomo, the side they picked was lying about thousands 163 00:10:00,760 --> 00:10:05,160 Speaker 1: and thousands of deaths and causing Remember it's not just 164 00:10:05,320 --> 00:10:08,480 Speaker 1: that they were embarrassed by the number. I mean, to 165 00:10:08,559 --> 00:10:10,840 Speaker 1: understand the full scope of this, you have to recognize 166 00:10:11,240 --> 00:10:18,280 Speaker 1: that Cuomo, because of his unthinkably stupid decision to try 167 00:10:18,280 --> 00:10:22,760 Speaker 1: to clear out hospital space faster by forcing COVID positive 168 00:10:22,760 --> 00:10:26,560 Speaker 1: patients back into nursing homes, he caused more of these deaths. 169 00:10:26,600 --> 00:10:29,240 Speaker 1: You see, it wasn't just this number looks bad for 170 00:10:29,240 --> 00:10:31,840 Speaker 1: the state of New York. It's Cuomo made a decision, 171 00:10:32,240 --> 00:10:35,160 Speaker 1: and some of that decision making, or some of that 172 00:10:35,240 --> 00:10:39,560 Speaker 1: decisions ramifications, led to people's moms and dads, grandmas and 173 00:10:39,600 --> 00:10:44,000 Speaker 1: grandpa's dying in nursing homes, not allowed to see their 174 00:10:44,040 --> 00:10:47,800 Speaker 1: family members, maybe allowed a last zoom call. It is 175 00:10:48,000 --> 00:10:51,680 Speaker 1: awful beyond words. But he was telling you, he was 176 00:10:51,760 --> 00:10:54,400 Speaker 1: giving you lectures, and even if you don't live in 177 00:10:54,400 --> 00:10:58,080 Speaker 1: New York, he doesn't care. He was America's lecturer in 178 00:10:58,160 --> 00:11:02,160 Speaker 1: chief during COVID. That's what Cuomo was. He was telling you, 179 00:11:02,679 --> 00:11:06,800 Speaker 1: if you don't mask up, you might kill somebody. You 180 00:11:06,920 --> 00:11:10,120 Speaker 1: might cause somebody else's family member, loved one to die. 181 00:11:10,640 --> 00:11:13,439 Speaker 1: How dare you do exactly what Cuomo says or else 182 00:11:14,760 --> 00:11:19,360 Speaker 1: talk about what psychologists would call projection. This is so 183 00:11:19,400 --> 00:11:22,440 Speaker 1: far the biggest scanalthough there are many, and there's going 184 00:11:22,480 --> 00:11:25,280 Speaker 1: to be a lot more accountability that we have to 185 00:11:25,320 --> 00:11:28,240 Speaker 1: force on the lockdowners as we have more data and 186 00:11:28,320 --> 00:11:30,760 Speaker 1: more of the truth can finally come out. But what 187 00:11:30,840 --> 00:11:36,000 Speaker 1: Cuomo did was the most appalling decision and the most 188 00:11:36,120 --> 00:11:41,120 Speaker 1: dishonest aftermath of any major policy choice of the entire 189 00:11:41,160 --> 00:11:45,680 Speaker 1: COVID nineteen pandemic. And we're finding out about it now. 190 00:11:47,000 --> 00:11:49,280 Speaker 1: We will not let this go by the way. I've 191 00:11:49,320 --> 00:11:51,240 Speaker 1: known about this for months. You've known about this for months. 192 00:11:51,559 --> 00:11:53,680 Speaker 1: It's been reported the New York Post. Now we just 193 00:11:53,720 --> 00:11:55,560 Speaker 1: have more and more information. It looks even worse than 194 00:11:55,600 --> 00:11:58,440 Speaker 1: we thought. The mainstream media is finally touching on this. 195 00:11:58,520 --> 00:12:01,600 Speaker 1: The mainstream media has finally come around do it because 196 00:12:01,640 --> 00:12:03,760 Speaker 1: it served its purpose to suppress it when they did. 197 00:12:04,960 --> 00:12:09,560 Speaker 1: But do not forget this Cuomo lied, seniors died. That 198 00:12:09,760 --> 00:12:13,280 Speaker 1: is what happened. The Democrat Party should own this. They 199 00:12:13,280 --> 00:12:17,000 Speaker 1: are responsible for this, and the corporate media's credibility is 200 00:12:17,240 --> 00:12:21,080 Speaker 1: even further sullied if that was even a thing, that's possible. 201 00:12:21,800 --> 00:12:27,240 Speaker 1: Just how much did the media love the love Gov 202 00:12:28,280 --> 00:12:31,760 Speaker 1: Governor Andrew Cuomo. The Cuomo sexuals, remember that that was 203 00:12:31,800 --> 00:12:34,360 Speaker 1: a thing for a while. People were walking around with 204 00:12:34,400 --> 00:12:39,040 Speaker 1: t shirts on such a hero. He's such an eligible bachelor. 205 00:12:39,280 --> 00:12:42,400 Speaker 1: Oh gosh, people were batting their eyelashes at Cuomo because 206 00:12:42,400 --> 00:12:45,240 Speaker 1: he was so amazing. He was keeping us safe. The 207 00:12:45,360 --> 00:12:49,079 Speaker 1: guy's a thug, a bully, and a liar, the worst 208 00:12:49,120 --> 00:12:52,840 Speaker 1: of politics, and also a sexual harasser on top of 209 00:12:52,840 --> 00:12:56,880 Speaker 1: all of that, which we will also get to here 210 00:12:56,960 --> 00:13:00,559 Speaker 1: he is according to the media over the course of this. Really, 211 00:13:00,559 --> 00:13:02,840 Speaker 1: I really want you to just sit back and take 212 00:13:02,880 --> 00:13:07,600 Speaker 1: all this in. Remember Cuomo live, seniors died. Cuomo made 213 00:13:07,600 --> 00:13:14,240 Speaker 1: an unthinkably stupid bullying decision, threatened nursing homes, basically used 214 00:13:14,280 --> 00:13:21,760 Speaker 1: his pandemic superpower or ultra authoritarianism and superpower sounds like 215 00:13:21,760 --> 00:13:26,199 Speaker 1: he's a hero, but use the authoritarian emergency powers. There 216 00:13:26,240 --> 00:13:30,560 Speaker 1: we go that he had and then lied about it 217 00:13:30,600 --> 00:13:33,960 Speaker 1: when it was a disaster afterwards, and then tried to 218 00:13:34,000 --> 00:13:37,600 Speaker 1: shame everybody else who wouldn't keep listening to him. This 219 00:13:37,679 --> 00:13:41,240 Speaker 1: is what you're the guardians of our republic, right the 220 00:13:41,280 --> 00:13:45,760 Speaker 1: Fourth Estate. This is what they were saying about all 221 00:13:45,800 --> 00:13:49,720 Speaker 1: of it. Play too, playing bye for Governor Cuomo's Press 222 00:13:49,720 --> 00:13:52,920 Speaker 1: convers Is Daily Briefing, David, We're sitting by for Governor 223 00:13:52,920 --> 00:13:56,199 Speaker 1: Cuomo's Press convers Is Daily Briefing. How would you contrast 224 00:13:56,520 --> 00:14:00,640 Speaker 1: Cuomo and President Trump's handling the crisis, truth versus mendacity. 225 00:14:00,880 --> 00:14:05,120 Speaker 1: Governor Cuomo out there day after day after day. Everything 226 00:14:05,160 --> 00:14:09,400 Speaker 1: Trump isn't honest, direct, brave, real leadership. I'm the kind 227 00:14:09,440 --> 00:14:12,440 Speaker 1: of President of the United States should have provided. Governor 228 00:14:12,480 --> 00:14:16,880 Speaker 1: Cuomo is clearly living in a totally different reality, the 229 00:14:16,960 --> 00:14:20,040 Speaker 1: actual one, than the President of the United States. Governor 230 00:14:20,080 --> 00:14:22,280 Speaker 1: Cuomo has become a national leader for a lot of people. 231 00:14:22,280 --> 00:14:25,000 Speaker 1: Andrew Cuomo has become the leader of the Democratic Party. 232 00:14:25,080 --> 00:14:29,320 Speaker 1: He is conveying incredible strength. You spoke to National Guard 233 00:14:29,320 --> 00:14:32,960 Speaker 1: troops today in a stirring speech that if I wasn't 234 00:14:33,000 --> 00:14:35,920 Speaker 1: listening carefully, I thought you were sending soldiers off to war. 235 00:14:36,200 --> 00:14:38,840 Speaker 1: This has been a remarkable show of leadership by Governor 236 00:14:38,880 --> 00:14:42,960 Speaker 1: Cuomo in recent days. He's providing hope, but not false hope. 237 00:14:42,960 --> 00:14:46,000 Speaker 1: Governor of Cuomo, I think, is one of the heroes 238 00:14:46,080 --> 00:14:48,800 Speaker 1: on the front lines. With all of this adulation that 239 00:14:48,840 --> 00:14:51,120 Speaker 1: you're getting for doing your job, are you thinking about 240 00:14:51,200 --> 00:14:53,920 Speaker 1: running for president? Andrew Cuomo, who has a daily television 241 00:14:53,920 --> 00:14:56,440 Speaker 1: show now and has become in some way as the 242 00:14:56,480 --> 00:14:59,880 Speaker 1: shadow president. Maybe Trump is just a little bit mad 243 00:15:00,240 --> 00:15:02,720 Speaker 1: that Governor Cuomo has become a kind of acting president. 244 00:15:02,880 --> 00:15:07,160 Speaker 1: Dealing with hardship actually makes you stronger. That's what Governor 245 00:15:07,200 --> 00:15:09,840 Speaker 1: Cuomo said earlier today. That's what I'm gonna go teach 246 00:15:09,880 --> 00:15:14,160 Speaker 1: my kids right now at home. Brian Stelter, that guy 247 00:15:14,320 --> 00:15:19,520 Speaker 1: is Oh my god, It's like the equivalent of pouring 248 00:15:19,680 --> 00:15:21,800 Speaker 1: estrogen in your ear or something. I mean, this guy is. 249 00:15:21,920 --> 00:15:26,880 Speaker 1: It's unbelievable. I gotta tell you that that to me. 250 00:15:27,000 --> 00:15:32,120 Speaker 1: I listened to this and I just I just shiver. 251 00:15:32,440 --> 00:15:36,120 Speaker 1: It's just so gross. The whole thing is so obtuse 252 00:15:36,360 --> 00:15:41,280 Speaker 1: and absurd. What what was going through their mind? Oh well, 253 00:15:41,280 --> 00:15:43,480 Speaker 1: we know, notice how many clips we can pull of 254 00:15:43,560 --> 00:15:47,560 Speaker 1: them saying unlike Trump, Cuomo is great. Unlike Trump, Cuomo 255 00:15:47,640 --> 00:15:51,320 Speaker 1: speaks the truth. That's that they're just their brains were 256 00:15:51,320 --> 00:15:55,400 Speaker 1: fixated on this, fixated on this. You know, an honest 257 00:15:55,400 --> 00:15:58,160 Speaker 1: assessment of Trump during the pandemic would start with he 258 00:15:58,280 --> 00:16:01,840 Speaker 1: basically did everything foul. She told them too. When I 259 00:16:01,880 --> 00:16:04,200 Speaker 1: spoke to the President in May in the Oval Office, 260 00:16:04,360 --> 00:16:07,560 Speaker 1: the one thing he actually shook my hand in promise. 261 00:16:07,800 --> 00:16:10,000 Speaker 1: The one thing that I asked. I said, sir, please 262 00:16:10,120 --> 00:16:13,400 Speaker 1: don't allow for there to be a federal push, a 263 00:16:13,520 --> 00:16:16,400 Speaker 1: national push for and across the board lockdown. Let's not 264 00:16:16,560 --> 00:16:18,720 Speaker 1: And he said, I totally agree. I get it. He 265 00:16:18,760 --> 00:16:20,960 Speaker 1: had been listening to Fauci a lot up to that point. 266 00:16:21,160 --> 00:16:23,920 Speaker 1: He'd been listening to Fauci, and we've all seen what 267 00:16:23,960 --> 00:16:27,560 Speaker 1: the results are. Remember, this is going to be treated 268 00:16:27,600 --> 00:16:30,440 Speaker 1: like it's an objective discussion about the data and what's 269 00:16:30,440 --> 00:16:32,880 Speaker 1: best for the country. But really, as you see from 270 00:16:32,920 --> 00:16:35,560 Speaker 1: the teachers unions, this is about what is best for 271 00:16:35,800 --> 00:16:40,160 Speaker 1: different individuals, their power, their money. They don't want honesty 272 00:16:40,200 --> 00:16:42,440 Speaker 1: about what's happened during this pandemic. They certainly don't want 273 00:16:42,440 --> 00:16:47,320 Speaker 1: accountability for people that we're propping up liars, frauds and 274 00:16:47,400 --> 00:16:51,080 Speaker 1: thugs like Andrew Cuomo. I mean, the fact that this guy, 275 00:16:51,600 --> 00:16:53,480 Speaker 1: I would put money on it right now, is going 276 00:16:53,520 --> 00:16:55,760 Speaker 1: to finish his term as governor. He will not resign 277 00:16:55,800 --> 00:16:59,160 Speaker 1: and they will not impeach him just shows you how 278 00:16:59,640 --> 00:17:03,600 Speaker 1: more lead decrepit. The Democrat Party in the state of 279 00:17:03,600 --> 00:17:06,719 Speaker 1: New York and across the country is they're gonna let 280 00:17:06,720 --> 00:17:10,720 Speaker 1: this guy stay. If he stays, who goes? And let's 281 00:17:10,760 --> 00:17:13,960 Speaker 1: just remember this, They're not going to impeach. Democrats will 282 00:17:14,000 --> 00:17:19,199 Speaker 1: not impeach Governor Cuomo, but they impeach Trump twice. The 283 00:17:19,359 --> 00:17:22,240 Speaker 1: first time and I know this was in Congress, but 284 00:17:22,280 --> 00:17:26,280 Speaker 1: the first time over a phone call to the Ukrainian 285 00:17:26,320 --> 00:17:31,560 Speaker 1: president where nothing happened. Cuomo sent seniors to die in 286 00:17:31,640 --> 00:17:34,760 Speaker 1: nursing homes like a moron because he thought he was 287 00:17:34,840 --> 00:17:37,560 Speaker 1: so smart and he was drunk with power, and then 288 00:17:37,600 --> 00:17:41,120 Speaker 1: he lied about it to everybody. If that doesn't make 289 00:17:41,119 --> 00:17:44,520 Speaker 1: you resign, what does. Governor Cuomo said that he has 290 00:17:44,600 --> 00:17:50,400 Speaker 1: never propositioned anybody. Do you believe that he was propositioning you? Yes? 291 00:17:50,720 --> 00:17:55,960 Speaker 1: For what sex? And then he explains at that point 292 00:17:55,960 --> 00:18:01,520 Speaker 1: that he is looking for a girlfriend, he's lonely, he's tired. 293 00:18:02,400 --> 00:18:05,640 Speaker 1: You've just finished dictation and the Governor is telling you 294 00:18:05,880 --> 00:18:09,800 Speaker 1: he's lonely and looking for a relationship. Yes, you have 295 00:18:09,840 --> 00:18:13,280 Speaker 1: been quoted as saying that. He also asked you about 296 00:18:13,320 --> 00:18:16,040 Speaker 1: if you'd ever been with an older man. Yeah, he 297 00:18:16,200 --> 00:18:22,440 Speaker 1: asked me if age difference mattered. He also explained that 298 00:18:22,880 --> 00:18:27,360 Speaker 1: he was fine with anyone over twenty two and how 299 00:18:27,359 --> 00:18:31,200 Speaker 1: old are you? Twenty five? What were you thinking as 300 00:18:31,240 --> 00:18:35,320 Speaker 1: he's asking you these questions. I thought he's trying to 301 00:18:35,320 --> 00:18:37,760 Speaker 1: sleep with me. The Governor is trying to sleep with me, 302 00:18:38,480 --> 00:18:42,879 Speaker 1: and I'm deeply uncomfortable and I have to get out 303 00:18:42,920 --> 00:18:45,560 Speaker 1: of this room as soon as possible. And to be clear, 304 00:18:46,080 --> 00:18:48,119 Speaker 1: what made you think that he was trying to sleep 305 00:18:48,119 --> 00:18:52,720 Speaker 1: with you? Without explicitly saying it, he implied to me 306 00:18:53,240 --> 00:18:56,240 Speaker 1: that I was old enough for him, and he was lonely. 307 00:18:57,960 --> 00:19:00,440 Speaker 1: He was trying to sleep with her. Can we all 308 00:19:00,480 --> 00:19:04,720 Speaker 1: just state the obvious year together? I mean, that's none 309 00:19:04,760 --> 00:19:07,560 Speaker 1: of us have been in the workplace and had conversations 310 00:19:07,600 --> 00:19:09,520 Speaker 1: and you know, maybe you know, shared some of our 311 00:19:09,560 --> 00:19:12,440 Speaker 1: personal live with friends or colleagues or whatever, but we 312 00:19:12,480 --> 00:19:14,919 Speaker 1: also know when you're the governor of New York and 313 00:19:14,920 --> 00:19:18,639 Speaker 1: you have a twenty five year old attractive female who's 314 00:19:18,640 --> 00:19:22,719 Speaker 1: alone with you, and you're talking about the age at 315 00:19:22,760 --> 00:19:25,360 Speaker 1: which you're willing to have a sexual relationship and your 316 00:19:25,440 --> 00:19:28,800 Speaker 1: need for a sexual like short of drawing a map 317 00:19:28,960 --> 00:19:31,280 Speaker 1: or like producing some kind of a contract with his 318 00:19:31,359 --> 00:19:35,080 Speaker 1: expectations at her expectator, Like this is pretty clear. It's 319 00:19:35,280 --> 00:19:38,760 Speaker 1: entirely credible. All these women who have come forward, these 320 00:19:38,760 --> 00:19:40,720 Speaker 1: are credible allegations. You know, we could go back to 321 00:19:40,760 --> 00:19:44,240 Speaker 1: the Kavanaugh era, remember, and they kept saying credible allegations 322 00:19:44,280 --> 00:19:49,239 Speaker 1: ends Kavanaugh, and I was completely losing my mind over this. 323 00:19:49,440 --> 00:19:52,879 Speaker 1: I mean I was, I was furious. I mean, this 324 00:19:52,920 --> 00:19:54,880 Speaker 1: is what I said. A lot of us became wartime 325 00:19:54,880 --> 00:19:59,840 Speaker 1: conservatives during Kavanaugh because we saw that there was honestly 326 00:20:00,119 --> 00:20:04,199 Speaker 1: no there was no floor, there was no basement of 327 00:20:04,359 --> 00:20:08,520 Speaker 1: moral depravity. The Democrats, including Kamala Harris by the way, 328 00:20:08,640 --> 00:20:11,000 Speaker 1: leading the charge there in the Senate, don't ever forget 329 00:20:11,040 --> 00:20:14,239 Speaker 1: that that there was no low. The Democrats would not 330 00:20:14,280 --> 00:20:17,800 Speaker 1: god to destroy somebody for politics, that they would lie 331 00:20:19,040 --> 00:20:24,800 Speaker 1: just in the most it was just the most mendacious, disgusting, idiotic, 332 00:20:25,000 --> 00:20:29,680 Speaker 1: obviously untrue garbage about Brett Cavanaugh. It was, and any 333 00:20:29,680 --> 00:20:31,720 Speaker 1: person who doesn't see that, it's just not very smart. 334 00:20:32,720 --> 00:20:34,760 Speaker 1: It's not possible to look at all that not possible 335 00:20:34,760 --> 00:20:37,280 Speaker 1: to look at the three accusers, including the third accuser 336 00:20:37,520 --> 00:20:40,000 Speaker 1: who's like giggling and talking about gang rape that she 337 00:20:40,040 --> 00:20:42,159 Speaker 1: saw when she came back from college. I mean, the 338 00:20:42,160 --> 00:20:44,800 Speaker 1: whole the whole thing or Julie Sweatnick was her name, 339 00:20:44,880 --> 00:20:51,000 Speaker 1: The whole thing was so absurd. Avanti Avanati is It 340 00:20:51,040 --> 00:20:53,560 Speaker 1: isn't amazing to see. He was the hero of CNN 341 00:20:53,640 --> 00:20:57,480 Speaker 1: at the time. Don't you see a pattern here? When 342 00:20:57,520 --> 00:20:59,960 Speaker 1: you were useful against Trump, if you were a wet 343 00:21:00,040 --> 00:21:03,520 Speaker 1: up in against Donald Trump, you were given this this 344 00:21:03,680 --> 00:21:07,639 Speaker 1: cloak of invincibility and the elevation. You were treated like 345 00:21:07,680 --> 00:21:10,200 Speaker 1: a conquering hero. It didn't matter how disgusting you were. 346 00:21:10,359 --> 00:21:14,840 Speaker 1: Michael Avanati is the ultimate slimy lawyer. He makes Michael 347 00:21:14,880 --> 00:21:18,560 Speaker 1: Cohen Trump's good friend for a while, unfortunately makes Michael 348 00:21:18,640 --> 00:21:24,520 Speaker 1: Cohen look like an ethical council. Avanati was stealing millions 349 00:21:24,560 --> 00:21:28,919 Speaker 1: from a paralyzed client. That guy was on TV. He 350 00:21:29,000 --> 00:21:31,560 Speaker 1: was on CNN I think more than any other guest 351 00:21:31,600 --> 00:21:34,280 Speaker 1: over a period of two months. It was as though 352 00:21:34,280 --> 00:21:37,000 Speaker 1: he was he was paid to anchor a show. He 353 00:21:37,080 --> 00:21:40,200 Speaker 1: was on all the time and he went forward with 354 00:21:40,680 --> 00:21:45,960 Speaker 1: obvious lies about Brett Kavanaugh. But I digress. You know 355 00:21:46,000 --> 00:21:47,560 Speaker 1: that that whole thing gets me so fired up, and 356 00:21:47,600 --> 00:21:50,679 Speaker 1: I'll never forget. I had people, I had a CNN 357 00:21:50,720 --> 00:21:55,240 Speaker 1: anchor reach out to me directly and say, you've got 358 00:21:55,240 --> 00:21:58,280 Speaker 1: to stop what you're saying about Kavanaugh. You're going to 359 00:21:58,359 --> 00:22:01,560 Speaker 1: destroy your career. And people on our side who think 360 00:22:01,600 --> 00:22:03,560 Speaker 1: you're smart but don't agree with you will never take 361 00:22:03,600 --> 00:22:07,840 Speaker 1: you seriously again. And I restrain myself from actually writing, 362 00:22:08,880 --> 00:22:12,640 Speaker 1: you know, go fauci yourself, but I thought about it. 363 00:22:13,880 --> 00:22:16,720 Speaker 1: I did tell them to, you know, leave, like, don't 364 00:22:16,720 --> 00:22:18,320 Speaker 1: ever reach out to me again, and you're out of 365 00:22:18,359 --> 00:22:20,399 Speaker 1: your mind. I think something like that was what I wrote. 366 00:22:20,680 --> 00:22:23,840 Speaker 1: And yeah, we have not had any context since, but 367 00:22:24,400 --> 00:22:27,320 Speaker 1: that was the mentality. It was all hands on deck 368 00:22:27,359 --> 00:22:29,960 Speaker 1: to destroy an innocent man because it was necessary. They 369 00:22:30,000 --> 00:22:32,280 Speaker 1: thought that was moral. You see, that's the problem with 370 00:22:32,320 --> 00:22:35,919 Speaker 1: the left. They believe that morality is entirely situational, that 371 00:22:35,960 --> 00:22:38,639 Speaker 1: there's no universal truth, there's no natural law. It's just 372 00:22:38,840 --> 00:22:41,960 Speaker 1: whatever they need when they need it. That's a central 373 00:22:42,080 --> 00:22:44,880 Speaker 1: principle of the left. That's if they have a principle. 374 00:22:45,000 --> 00:22:46,880 Speaker 1: The principle is there's no such thing as a principle. 375 00:22:49,040 --> 00:22:52,359 Speaker 1: But they kept saying, I'll bring this back to Quomaa. 376 00:22:52,440 --> 00:22:57,000 Speaker 1: They kept talking about the need or that kept talking 377 00:22:57,040 --> 00:23:01,919 Speaker 1: about the credibility of the allegations against Kavanaugh, and they 378 00:23:02,119 --> 00:23:05,320 Speaker 1: figured if they repeated it enough, well keeps getting called credible, 379 00:23:05,359 --> 00:23:08,119 Speaker 1: it must be. It would be difficult to come up 380 00:23:08,119 --> 00:23:11,240 Speaker 1: with a less credible allegation than the one that. Yes, 381 00:23:11,440 --> 00:23:17,480 Speaker 1: even you know the professor who leveled or you know 382 00:23:17,520 --> 00:23:26,159 Speaker 1: the psychologist who leveled against Kavanaugh, she couldn't prove. She 383 00:23:26,200 --> 00:23:31,520 Speaker 1: couldn't prove that she ever even met him, Christine Blasi 384 00:23:31,640 --> 00:23:36,040 Speaker 1: Ford couldn't prove that she even ever met him, had 385 00:23:36,080 --> 00:23:40,119 Speaker 1: no details, no corroboration, no nothing, and had lied about 386 00:23:40,119 --> 00:23:42,080 Speaker 1: things like she was afraid to fly unless she's going 387 00:23:42,119 --> 00:23:44,359 Speaker 1: to Cabo, then flying as fine, right? I mean, the 388 00:23:44,400 --> 00:23:47,880 Speaker 1: whole thing was such a scam, such a fraud. If 389 00:23:47,920 --> 00:23:51,480 Speaker 1: that's a credible allegation, me saying that I assassinated Abraham 390 00:23:51,480 --> 00:23:55,439 Speaker 1: Lincoln's a credible allegation. I'm sorry, do you can you 391 00:23:55,520 --> 00:23:58,760 Speaker 1: prove that I don't have a time machine? Do you 392 00:23:58,840 --> 00:24:01,720 Speaker 1: know that for a fact? You don't know me? I 393 00:24:01,840 --> 00:24:05,520 Speaker 1: might have a time machine? You don't know, right, that's 394 00:24:05,800 --> 00:24:08,800 Speaker 1: the level of credibility we're talking about with the allegations 395 00:24:08,800 --> 00:24:17,240 Speaker 1: against Kavanaugh absurdity. But these allegations against Cuomo, everything lines up, 396 00:24:18,000 --> 00:24:21,439 Speaker 1: everything is exactly. There's a pattern, the same kind of 397 00:24:21,520 --> 00:24:24,960 Speaker 1: pattern everyone knows, and there were whispers about it before too. 398 00:24:26,000 --> 00:24:28,679 Speaker 1: The word always gets out a little bit about these things, right, 399 00:24:28,720 --> 00:24:32,399 Speaker 1: word always comes out, And nobody was really surprised by this. 400 00:24:32,440 --> 00:24:36,920 Speaker 1: That's what's so amazing. The Democrats protected him as long 401 00:24:36,960 --> 00:24:40,720 Speaker 1: as they could. They propped this jerk up as long 402 00:24:40,760 --> 00:24:42,719 Speaker 1: as it was feasible for them, and as long as 403 00:24:42,760 --> 00:24:46,320 Speaker 1: it was advantageous. That's the big difference. As long as 404 00:24:46,320 --> 00:24:49,600 Speaker 1: it was an advantage for them, they propped this guy up. 405 00:24:50,960 --> 00:24:56,400 Speaker 1: And here we are, here we are. I gotta tell you, 406 00:24:56,880 --> 00:24:59,320 Speaker 1: the fact that he's not going to resign is so troubling. 407 00:24:59,359 --> 00:25:02,639 Speaker 1: But also in an their sense, he's an excellent reminder 408 00:25:03,600 --> 00:25:06,800 Speaker 1: of how of how corrupt Democrats are with all of 409 00:25:06,800 --> 00:25:08,800 Speaker 1: these things, and how two faced they are, and how 410 00:25:08,800 --> 00:25:11,360 Speaker 1: it's all just about power for them. You know, meet 411 00:25:11,480 --> 00:25:14,040 Speaker 1: me two things, right, I mean, first of all, let's 412 00:25:14,040 --> 00:25:17,120 Speaker 1: not forget Joe Biden was credibly accused of sexual assault 413 00:25:17,160 --> 00:25:19,159 Speaker 1: by a woman who knew him, who worked with him, 414 00:25:19,160 --> 00:25:23,280 Speaker 1: who was around him. You know, remember when it was 415 00:25:23,480 --> 00:25:26,680 Speaker 1: what does she have to gain accusing a Democrat who's 416 00:25:26,680 --> 00:25:29,439 Speaker 1: going to be president of sexual assault? You really got 417 00:25:29,520 --> 00:25:31,439 Speaker 1: nothing to gain because your life is going to be ruined. 418 00:25:31,800 --> 00:25:34,440 Speaker 1: You'd never even hear about that anymore. Do creepy Joe 419 00:25:34,760 --> 00:25:39,560 Speaker 1: sniffing women's heads, grabbing them, touching them, saying weird city. 420 00:25:39,840 --> 00:25:43,320 Speaker 1: I have never met a stranger and held her head 421 00:25:43,359 --> 00:25:46,400 Speaker 1: from behind and kissed her head and sniffed her hair. 422 00:25:46,800 --> 00:25:49,680 Speaker 1: That is a weird old move. Joe Biden did that. 423 00:25:49,680 --> 00:25:51,840 Speaker 1: That's a matter of record. That's not even that's not 424 00:25:51,840 --> 00:25:55,560 Speaker 1: even an alligation. He apologized for that, but not not 425 00:25:55,600 --> 00:25:59,440 Speaker 1: an issue to say nothing about Joe Biden. It doesn't matter. See. 426 00:25:59,480 --> 00:26:01,040 Speaker 1: One of the things about Trump was that he was 427 00:26:01,080 --> 00:26:03,760 Speaker 1: blowing out into the open the truth that we had 428 00:26:03,760 --> 00:26:05,400 Speaker 1: known about the Democrats for so long. When he would 429 00:26:05,400 --> 00:26:06,879 Speaker 1: say things like, you know, I could shoot somebody on 430 00:26:06,920 --> 00:26:09,080 Speaker 1: Fifth Avenue, and you know, my supporters would stay with me, 431 00:26:09,119 --> 00:26:11,760 Speaker 1: and the Democrats all lost their minds about that. A 432 00:26:11,760 --> 00:26:14,800 Speaker 1: lot of Trump supporters said, look, he's obviously exaggerating a 433 00:26:14,840 --> 00:26:16,719 Speaker 1: little bit, or he's you know, he's trying to make 434 00:26:16,720 --> 00:26:20,240 Speaker 1: a point. It's hyperbole. But that has always been true 435 00:26:20,280 --> 00:26:24,560 Speaker 1: about Democrats, Bill Clinton, going down the whole list. It's 436 00:26:24,560 --> 00:26:26,359 Speaker 1: always been true that they can do whatever they want 437 00:26:26,440 --> 00:26:28,320 Speaker 1: as long as they're useful for the power of the 438 00:26:28,320 --> 00:26:32,239 Speaker 1: people on the Democrats side. And the same thing as 439 00:26:32,320 --> 00:26:34,240 Speaker 1: very much true or Cuomo. We're seeing this play out 440 00:26:34,240 --> 00:26:39,479 Speaker 1: in real time. Very I was gonna say, it's discouraging, 441 00:26:39,640 --> 00:26:42,280 Speaker 1: that's not even really true. This is who the Democrats are. 442 00:26:42,320 --> 00:26:45,160 Speaker 1: There's no surprise here. None of you are sitting around saying, 443 00:26:45,160 --> 00:26:48,360 Speaker 1: wait a second, they're really unethical. They'll lie about Kavanaugh, 444 00:26:48,400 --> 00:26:51,800 Speaker 1: and then they'll defend Kavanaugh, who's clearly innocent, and then 445 00:26:51,880 --> 00:26:54,760 Speaker 1: and then defend Cuomo until they can't. They just they 446 00:26:54,760 --> 00:26:58,359 Speaker 1: couldn't hold it back anymore. It's like Harvey Weinstein. Weinstein 447 00:26:58,480 --> 00:27:00,480 Speaker 1: was a big friend of the Obama He was a 448 00:27:00,520 --> 00:27:03,080 Speaker 1: big donor to the Democrats, you know, you see, and 449 00:27:03,119 --> 00:27:05,679 Speaker 1: then eventually they're like, oh, there's too many allegations, too 450 00:27:05,760 --> 00:27:08,240 Speaker 1: much stuff comes out. So then they you know, like 451 00:27:08,400 --> 00:27:10,960 Speaker 1: like an old horse getting sent to the glue factory. 452 00:27:11,280 --> 00:27:14,040 Speaker 1: That's what they do with Weinstein, with Cuomo, you know, Sorry, 453 00:27:14,480 --> 00:27:16,800 Speaker 1: you're more useful now for us to do some virtue 454 00:27:16,840 --> 00:27:20,600 Speaker 1: signaling and pretend like we're an honest press. They don't 455 00:27:20,600 --> 00:27:23,400 Speaker 1: take these people down when it matters. They don't take 456 00:27:23,440 --> 00:27:27,000 Speaker 1: them down when they're actually going to politically lose as 457 00:27:27,000 --> 00:27:30,520 Speaker 1: a result of it. Get on the whole list. Everybody 458 00:27:30,600 --> 00:27:34,400 Speaker 1: knew Charlie Rose with the crusty claw. I love that law, 459 00:27:34,440 --> 00:27:39,359 Speaker 1: and that was a crusty claw, Matie. You know Charlie 460 00:27:39,440 --> 00:27:43,639 Speaker 1: Rose was grabbing. I heard about Charlie Rose being an 461 00:27:43,680 --> 00:27:49,800 Speaker 1: old creepster. I mean like twenty years ago when I 462 00:27:49,840 --> 00:27:52,120 Speaker 1: was working at CBSC. If you news, everyone's always known 463 00:27:52,119 --> 00:27:54,640 Speaker 1: that guy was an old creepster. You can own this list, 464 00:27:54,680 --> 00:27:58,400 Speaker 1: all all these prominent democrats that it took so long 465 00:27:58,440 --> 00:28:00,600 Speaker 1: and then finally and then they want to plus because 466 00:28:00,640 --> 00:28:04,040 Speaker 1: the media finally covers the story. No, when they were powerful, 467 00:28:04,080 --> 00:28:07,359 Speaker 1: when they were necessary to carry the message for the left, 468 00:28:07,400 --> 00:28:09,600 Speaker 1: they were protecting the same things. True a Cuomo here, 469 00:28:09,640 --> 00:28:13,240 Speaker 1: But you listen to these young women. Look, we also 470 00:28:13,640 --> 00:28:16,200 Speaker 1: all know. We sit there and you see these women 471 00:28:16,240 --> 00:28:19,080 Speaker 1: talking about this, and you go, yeah, they're telling the truth. 472 00:28:19,800 --> 00:28:22,520 Speaker 1: You know, we can actually make these guys sometimes you 473 00:28:22,520 --> 00:28:25,080 Speaker 1: don't know sometimes it's kind of hard. Sometimes it feels 474 00:28:25,080 --> 00:28:27,280 Speaker 1: like he said, she said, no, this is she said, 475 00:28:27,280 --> 00:28:29,800 Speaker 1: and she's telling the truth. And she said, and she said, 476 00:28:29,800 --> 00:28:32,399 Speaker 1: because they're a handful of them, they're telling the truth. 477 00:28:33,040 --> 00:28:35,919 Speaker 1: Do the Democrats really care? What's fascinated, of course, is 478 00:28:36,400 --> 00:28:40,600 Speaker 1: they actually do care about the sexual harassment more than 479 00:28:40,640 --> 00:28:44,640 Speaker 1: they do the order to send seniors into nursing homes, 480 00:28:44,680 --> 00:28:47,120 Speaker 1: which undoubtedly put more of them at risk and killed 481 00:28:47,120 --> 00:28:51,240 Speaker 1: more seniors than would have otherwise died. They care more 482 00:28:51,800 --> 00:28:57,160 Speaker 1: about uncouth inappropriate comments said to women. He didn't, you know, 483 00:28:57,160 --> 00:28:59,600 Speaker 1: he didn't sexually assault anybody. I mean, there are there 484 00:28:59,640 --> 00:29:02,800 Speaker 1: are some things Cuomo did not do, but I mean, 485 00:29:02,800 --> 00:29:05,920 Speaker 1: he clearly likes young women and tries to use his 486 00:29:06,000 --> 00:29:09,680 Speaker 1: power as a means of getting them into bed with him. 487 00:29:09,720 --> 00:29:11,840 Speaker 1: And now it's come out, and that is what the 488 00:29:11,880 --> 00:29:17,160 Speaker 1: media is hoisting them up and destroying him over. That's 489 00:29:17,160 --> 00:29:20,760 Speaker 1: what they're hoisting them up over. Not's the seniors and 490 00:29:20,760 --> 00:29:23,440 Speaker 1: the nursing homes, because that goes after much more than 491 00:29:23,520 --> 00:29:26,760 Speaker 1: just one man being a lecterous old fool. That goes 492 00:29:26,800 --> 00:29:30,600 Speaker 1: to something else, goes to the way the media lied 493 00:29:30,640 --> 00:29:34,720 Speaker 1: about COVID in so many ways to defeat Donald Trump 494 00:29:34,720 --> 00:29:37,520 Speaker 1: in twenty twenty. The only way I know how to 495 00:29:37,560 --> 00:29:40,800 Speaker 1: improve it is with a shredder. It's not even a 496 00:29:40,920 --> 00:29:46,240 Speaker 1: coronavirus bill. Calming this a coronavirus bill is like calling 497 00:29:47,280 --> 00:29:53,200 Speaker 1: Harvey Weinstein a feminist. It's chock full of spending porn, 498 00:29:53,520 --> 00:29:57,880 Speaker 1: billions of dollars to states and local governments that have 499 00:29:58,360 --> 00:30:02,640 Speaker 1: seen the revenues go up. Billions of dollars to pension programs, 500 00:30:02,640 --> 00:30:06,280 Speaker 1: billions of dollars to schools with no requirements that they open. 501 00:30:08,480 --> 00:30:11,880 Speaker 1: It's it's a it's an orgy of pork, an orgy 502 00:30:11,960 --> 00:30:17,520 Speaker 1: of pork, the senator, Senator Kennedy says here, it's like 503 00:30:17,600 --> 00:30:21,720 Speaker 1: calling Harvey Weinstein a feminist, Kennedy. Kennedy's definitely writing out 504 00:30:21,760 --> 00:30:25,200 Speaker 1: his lines beforehand, that's for sure. I don't also thought 505 00:30:25,280 --> 00:30:27,400 Speaker 1: I was reminded of this because I mentioned Harvey Weinstein 506 00:30:27,440 --> 00:30:30,840 Speaker 1: before in the context of incredibly powerful, wealthy, influential democrats 507 00:30:30,840 --> 00:30:33,160 Speaker 1: who they cover for as long as they can, and 508 00:30:33,200 --> 00:30:35,360 Speaker 1: then they want applause when the person is no longer 509 00:30:35,440 --> 00:30:38,040 Speaker 1: useful to their cause and they, you know, throw them 510 00:30:38,040 --> 00:30:42,720 Speaker 1: to the wolves. This coronavirus bill, that is, I mean 511 00:30:42,720 --> 00:30:45,440 Speaker 1: it's not a COVID bill, it's just a Democrat spending bill. 512 00:30:45,480 --> 00:30:48,040 Speaker 1: And we should come up with a better name for 513 00:30:48,320 --> 00:30:51,400 Speaker 1: one thing, that one thing. We're Republicans, I think continuous 514 00:30:51,800 --> 00:30:55,560 Speaker 1: continue to fall down on or or a major shortcoming 515 00:30:55,600 --> 00:30:58,920 Speaker 1: they have is we need catchy phrases for things too. 516 00:30:59,440 --> 00:31:03,320 Speaker 1: This is politics. We need shorthand, we need slogans, you know, 517 00:31:03,400 --> 00:31:06,280 Speaker 1: we need better ways of referring to some of these things, 518 00:31:06,320 --> 00:31:08,960 Speaker 1: because the second you call this a COVID relief bill, 519 00:31:09,040 --> 00:31:13,479 Speaker 1: you're basically playing their game. The moment you concede with 520 00:31:13,560 --> 00:31:17,040 Speaker 1: that word, that one point nine trillion dollars sounds like 521 00:31:17,120 --> 00:31:20,400 Speaker 1: it's going toward helping people who have been so affected 522 00:31:20,400 --> 00:31:23,560 Speaker 1: by COVID. But nine percent of the actual bill does so. 523 00:31:25,000 --> 00:31:28,040 Speaker 1: Nine percent. I mean, if it were like sixty or 524 00:31:28,080 --> 00:31:30,920 Speaker 1: seventy percent, I'd say, oh, you know, it's politics. They're 525 00:31:30,920 --> 00:31:33,320 Speaker 1: gonna put some other stuff in there. It's basically all 526 00:31:33,440 --> 00:31:36,920 Speaker 1: not COVID stuff. In fact, there's a whole there's there's 527 00:31:36,920 --> 00:31:40,960 Speaker 1: provisions about, you know, additional spending for education, and most 528 00:31:40,960 --> 00:31:42,960 Speaker 1: of it doesn't even happen next year. It's built in, 529 00:31:43,040 --> 00:31:45,440 Speaker 1: it's layered in over years and years, tens of billions 530 00:31:45,440 --> 00:31:48,600 Speaker 1: of dollars. Oh, you mean the teachers unions want their 531 00:31:48,680 --> 00:31:51,440 Speaker 1: payoffs and they want their prerogatives, and it really has 532 00:31:51,480 --> 00:31:55,280 Speaker 1: nothing to do with their safety. They're so scared. Yeah, 533 00:31:55,360 --> 00:32:01,160 Speaker 1: that's what I thought. Not a surprise, the tense of 534 00:32:01,240 --> 00:32:05,920 Speaker 1: a Biden administration and of a Democrat majority Congress acting 535 00:32:05,920 --> 00:32:09,840 Speaker 1: and even the most the most basic bipartisan fashion. I mean, 536 00:32:09,920 --> 00:32:12,760 Speaker 1: that didn't last a day, did it. And Biden came 537 00:32:12,800 --> 00:32:15,360 Speaker 1: into office in his attitude, or I should say the 538 00:32:15,400 --> 00:32:17,760 Speaker 1: handlers around him and the special interests and the people 539 00:32:17,760 --> 00:32:20,240 Speaker 1: that are telling him what to do. The attitude was 540 00:32:20,640 --> 00:32:25,239 Speaker 1: we won, you lost, Go jump in a lake, you know, 541 00:32:25,520 --> 00:32:30,840 Speaker 1: go blankety blanking blank or blank. And we've seen nothing 542 00:32:30,880 --> 00:32:34,200 Speaker 1: but that since then. And this is I think in 543 00:32:34,320 --> 00:32:38,920 Speaker 1: part of a hangover of the way that Donald Trump 544 00:32:39,080 --> 00:32:43,640 Speaker 1: psychologically broke the Left and they haven't put themselves back together. 545 00:32:43,720 --> 00:32:45,800 Speaker 1: I mean, you know, Humpty Dumpy, all the King's horses 546 00:32:45,800 --> 00:32:50,320 Speaker 1: and men can't put the Democrats fragile emotions back together again. 547 00:32:50,360 --> 00:32:53,800 Speaker 1: I mean, they're having a tough time here because Donald 548 00:32:53,840 --> 00:32:56,760 Speaker 1: Trump came into office and made fun of them for 549 00:32:56,760 --> 00:32:59,480 Speaker 1: four years for being a bunch of shrill lib lunatics, 550 00:33:00,120 --> 00:33:04,440 Speaker 1: and now they want payback against against everybody else. There's 551 00:33:04,480 --> 00:33:06,960 Speaker 1: real anger out there. But you know, Ted Cruz notices 552 00:33:07,040 --> 00:33:11,040 Speaker 1: that they're not even pretending to be reaching the other side. 553 00:33:11,400 --> 00:33:13,800 Speaker 1: And you look at the way that Republicans passed real 554 00:33:13,880 --> 00:33:18,600 Speaker 1: COVID bills with Democrat votes last year. It's actually possible, folks, 555 00:33:18,440 --> 00:33:22,360 Speaker 1: that's not some theoretical Democrats are going to put pass 556 00:33:22,400 --> 00:33:24,560 Speaker 1: this probably without a single Republican vote in the Senate. 557 00:33:24,560 --> 00:33:26,640 Speaker 1: And you know, who knows how the House is going 558 00:33:26,680 --> 00:33:29,800 Speaker 1: to go play ten. We're getting ready to go through 559 00:33:30,040 --> 00:33:33,240 Speaker 1: an unfortunate bit of political theater. And the reason for 560 00:33:33,400 --> 00:33:36,080 Speaker 1: that is that the Democrats have made the decision to 561 00:33:36,160 --> 00:33:39,280 Speaker 1: be hard partisans rather than to work together in a 562 00:33:39,320 --> 00:33:44,840 Speaker 1: bipartisan manner. Last year, Congress passed five separate COVID relief bills. 563 00:33:44,920 --> 00:33:47,640 Speaker 1: Every one of them was bipartisan. So it's not just 564 00:33:47,760 --> 00:33:51,479 Speaker 1: empty words. Republicans here have demonstrated that we are ready 565 00:33:51,480 --> 00:33:54,000 Speaker 1: and willing to roll up our sleeves and work together 566 00:33:54,040 --> 00:33:58,080 Speaker 1: in a bipartisan manner to address COVID, to defeat this pandemic, 567 00:33:58,120 --> 00:34:01,400 Speaker 1: and to get people back to work. Joe Biden, Chuck Schumer, 568 00:34:01,400 --> 00:34:03,440 Speaker 1: and Nancy Close could have done the same, but they 569 00:34:03,480 --> 00:34:06,040 Speaker 1: made a decision instead. This is not a COVID bill. 570 00:34:06,840 --> 00:34:10,440 Speaker 1: Nine percent of this bill focuses on COVID health spending 571 00:34:11,960 --> 00:34:16,480 Speaker 1: is a partisan wish list paying off the Democratic special 572 00:34:16,520 --> 00:34:20,200 Speaker 1: interests that brought them elect And it's cynical. It's got 573 00:34:20,320 --> 00:34:23,920 Speaker 1: Chuck Schumer's bridge to Canada. The last I checked, a 574 00:34:23,960 --> 00:34:27,120 Speaker 1: bridge to Canada is not going to defeat COVID. It 575 00:34:27,320 --> 00:34:30,560 Speaker 1: is not. Sorry Canada, that's not the way it's going 576 00:34:30,600 --> 00:34:33,879 Speaker 1: to work. But Republicans did buy partisan things to help 577 00:34:33,880 --> 00:34:37,920 Speaker 1: the country during COVID. Democrats won't do that now why. 578 00:34:38,440 --> 00:34:41,759 Speaker 1: And what we are doing is building the capacity to 579 00:34:41,760 --> 00:34:44,840 Speaker 1: address the needs of those children. And we are guided 580 00:34:44,920 --> 00:34:49,080 Speaker 1: by some core principles. Number one, we act in the 581 00:34:49,080 --> 00:34:51,319 Speaker 1: best interests of the children, and we act in the 582 00:34:51,320 --> 00:34:54,920 Speaker 1: best interests of the American people. And thirdly, we adhere 583 00:34:54,920 --> 00:34:58,080 Speaker 1: to our values and principles as a country. And so 584 00:34:58,160 --> 00:35:03,520 Speaker 1: in fact, the numbers are si magnificant. The challenge is significant. Yeah, 585 00:35:03,560 --> 00:35:06,640 Speaker 1: and our plans are well underway as we build the 586 00:35:06,680 --> 00:35:10,360 Speaker 1: capacity to address the needs of the children, and we 587 00:35:10,440 --> 00:35:14,200 Speaker 1: are rebuilding from scratch. Oh, it's all about the children. 588 00:35:14,320 --> 00:35:19,160 Speaker 1: What's Buck's law of politics for Democrats, the moment they 589 00:35:19,239 --> 00:35:22,800 Speaker 1: tell you it's about the children, you're being lied to. Okay, 590 00:35:22,840 --> 00:35:25,879 Speaker 1: just remember that it's always true. The moment they say 591 00:35:25,960 --> 00:35:29,000 Speaker 1: it's for the children, the moment Nancy Pelosi comes out, 592 00:35:29,320 --> 00:35:32,040 Speaker 1: you know, with her Chanelle scarf loosely draped around her 593 00:35:32,080 --> 00:35:34,080 Speaker 1: mouth because she cares so much about COVID and goes 594 00:35:34,440 --> 00:35:39,799 Speaker 1: the children. Indeed, ye know, we're gonna get get them 595 00:35:39,920 --> 00:35:44,120 Speaker 1: the things that they need. Yeah, that's because they've got 596 00:35:44,120 --> 00:35:46,759 Speaker 1: something else going on. Why do we have a what 597 00:35:47,200 --> 00:35:50,680 Speaker 1: is he saying now, DHS Secretary of Mayorcas a significant 598 00:35:50,760 --> 00:35:53,760 Speaker 1: challenge at the border. Why do we have this because 599 00:35:53,800 --> 00:35:57,520 Speaker 1: of the Biden administration. That's why we have a huge 600 00:35:57,600 --> 00:35:59,959 Speaker 1: spike in people coming to the border. They are literal 601 00:36:00,080 --> 00:36:04,759 Speaker 1: early wearing Biden T shirts. Okay, can we make this 602 00:36:04,880 --> 00:36:09,200 Speaker 1: anymore clear? Illegal immigrants are showing up and wearing T 603 00:36:09,440 --> 00:36:12,200 Speaker 1: shirts that say Biden let us in at the border. 604 00:36:12,480 --> 00:36:17,440 Speaker 1: I think we know why they're showing up. And Democrats 605 00:36:17,440 --> 00:36:21,240 Speaker 1: are already I mean, House Democrats are already pushing bills, 606 00:36:21,600 --> 00:36:24,120 Speaker 1: trying to get bills ready to go for mass amnesty. 607 00:36:24,920 --> 00:36:28,040 Speaker 1: I said, I've said this all along you know, policy, 608 00:36:28,080 --> 00:36:31,200 Speaker 1: I'm good at predicting elections. I don't think anybody can 609 00:36:31,200 --> 00:36:34,080 Speaker 1: really predict elections, but policy I can usually see coming. 610 00:36:35,120 --> 00:36:36,960 Speaker 1: But we're going to have to have a whole reckoning 611 00:36:37,000 --> 00:36:39,080 Speaker 1: here as a country about what's going on with our 612 00:36:39,080 --> 00:36:43,000 Speaker 1: immigration policy right now, because this is about to be 613 00:36:43,040 --> 00:36:46,160 Speaker 1: the central fight. And really what you're going to start 614 00:36:46,200 --> 00:36:49,239 Speaker 1: to you're gonna start to see is that they want 615 00:36:49,280 --> 00:36:53,919 Speaker 1: open borders because sovereignty is for suckers. Sovereignty a nation 616 00:36:53,960 --> 00:36:57,279 Speaker 1: that can control its borders that requires effort. You know, 617 00:36:57,320 --> 00:37:00,759 Speaker 1: it's much better create incentives for people to come and 618 00:37:00,960 --> 00:37:03,520 Speaker 1: give them even more incentives when they stay to vote 619 00:37:03,560 --> 00:37:07,799 Speaker 1: for one political party, and you effectively create and a 620 00:37:07,920 --> 00:37:10,799 Speaker 1: voter base of anybody from anywhere around the world who 621 00:37:10,880 --> 00:37:14,359 Speaker 1: feels like coming to America and availing themselves of all 622 00:37:14,400 --> 00:37:18,440 Speaker 1: of the benefits of being here illegally. Right, we're supposed 623 00:37:18,480 --> 00:37:20,399 Speaker 1: to have a process for all of this. I mean, 624 00:37:20,400 --> 00:37:22,319 Speaker 1: as Milton Friedman said, it is one thing to have 625 00:37:23,080 --> 00:37:26,080 Speaker 1: free immigration to jobs. It's another thing to have free 626 00:37:26,120 --> 00:37:30,359 Speaker 1: immigration to welfare. And you cannot have both. You can 627 00:37:30,400 --> 00:37:33,000 Speaker 1: have a welfare state or you can have open immigration 628 00:37:33,000 --> 00:37:35,600 Speaker 1: for jobs. You have both you've got a big problem. 629 00:37:36,640 --> 00:37:38,200 Speaker 1: Do you think we have a bit of a welfare 630 00:37:38,200 --> 00:37:41,920 Speaker 1: state in this country? Is it fair to say? But 631 00:37:42,200 --> 00:37:43,960 Speaker 1: this has been a long time in coming, As you know, 632 00:37:44,000 --> 00:37:47,560 Speaker 1: the dominant liberal media narrative on immigration has been a 633 00:37:47,600 --> 00:37:50,200 Speaker 1: series of shifting lies for about the last forty years. 634 00:37:50,800 --> 00:37:53,640 Speaker 1: In the Trump era, the main leftists argument on immigration 635 00:37:54,480 --> 00:37:58,400 Speaker 1: shifted into outright moral blackmail from the left. This is 636 00:37:58,440 --> 00:38:00,279 Speaker 1: what this is how it would always go. You know this, 637 00:38:00,320 --> 00:38:03,280 Speaker 1: if you ever tried to talk to somebody about immigration policy, 638 00:38:03,360 --> 00:38:05,560 Speaker 1: this is how it happens. Do you have a problem 639 00:38:05,600 --> 00:38:09,600 Speaker 1: with a million illegal arrivals from a Central America? You 640 00:38:09,680 --> 00:38:12,439 Speaker 1: must be racist, they say to you. If you ask 641 00:38:12,480 --> 00:38:15,480 Speaker 1: any questions about who will pay for these new illegal 642 00:38:15,520 --> 00:38:17,920 Speaker 1: arrivals in terms of the benefits and welfare, that's a 643 00:38:18,000 --> 00:38:21,440 Speaker 1: racist question to ask. If you wonder how social Security 644 00:38:21,440 --> 00:38:24,360 Speaker 1: and Medicare will remain viable programs when millions of illegal 645 00:38:24,360 --> 00:38:27,440 Speaker 1: aliens will need similar benefits when they reach retirement age, 646 00:38:28,400 --> 00:38:31,680 Speaker 1: it's racist to even consider such things. It's just always 647 00:38:31,719 --> 00:38:34,520 Speaker 1: about how it's always racist and xenophobic. You're not allowed 648 00:38:34,520 --> 00:38:36,319 Speaker 1: to ask any questions based on, oh, I don't know 649 00:38:36,360 --> 00:38:38,319 Speaker 1: the simple math of how are we going to pay 650 00:38:38,320 --> 00:38:39,839 Speaker 1: for this? Who's gonna pay for this? How's this all 651 00:38:39,880 --> 00:38:42,120 Speaker 1: going to go. That's more or less the extent of 652 00:38:42,120 --> 00:38:44,840 Speaker 1: the intellectual discourse you can expect from leftists on the 653 00:38:44,880 --> 00:38:48,800 Speaker 1: issue of illegal immigration, because they much prefer to engage 654 00:38:48,840 --> 00:38:52,400 Speaker 1: in ad hominem attacks against anybody who has a problem 655 00:38:54,000 --> 00:38:57,160 Speaker 1: with open borders. It's so much easier. As you know, 656 00:38:57,200 --> 00:38:59,200 Speaker 1: illegal alien is a term that appears in the federal 657 00:38:59,239 --> 00:39:02,840 Speaker 1: legal Code. Many times leftists now say that it is hateful, 658 00:39:03,040 --> 00:39:04,880 Speaker 1: and they're actually in the process of changing this. They 659 00:39:04,920 --> 00:39:06,520 Speaker 1: might have already changed it by the time I talk 660 00:39:06,560 --> 00:39:09,560 Speaker 1: to you. In the federal code. It's hateful to say 661 00:39:10,320 --> 00:39:12,759 Speaker 1: words that are written in federal law when it comes 662 00:39:12,800 --> 00:39:16,320 Speaker 1: to immigration. But they were. They used to insist on 663 00:39:16,360 --> 00:39:20,799 Speaker 1: illegal immigrant, but they disliked the fact that there was 664 00:39:20,840 --> 00:39:24,160 Speaker 1: illegal in there. So if you're gonna call something illegal, 665 00:39:24,440 --> 00:39:26,840 Speaker 1: you're kind of admitting it's against the law. That's a problem. 666 00:39:27,800 --> 00:39:31,800 Speaker 1: So then they moved on to the more orwellian term undocumented, 667 00:39:31,840 --> 00:39:36,120 Speaker 1: which is absurdly vague and inaccurate. They have documents somewhere 668 00:39:36,320 --> 00:39:38,839 Speaker 1: they're not undocumented. They just don't have documents that say 669 00:39:38,840 --> 00:39:43,680 Speaker 1: you're legally allowed to be in the United States. Calling 670 00:39:43,719 --> 00:39:46,839 Speaker 1: an illegal alien undocumented is like calling a trespasser a 671 00:39:47,000 --> 00:39:52,000 Speaker 1: pre invite guest. Now keep in mind, this phraseology fight 672 00:39:52,200 --> 00:39:56,200 Speaker 1: is coming to us after decades of brainwashing the American 673 00:39:56,200 --> 00:40:00,600 Speaker 1: people with platitudes meant to conflate legal and illegal immigration 674 00:40:01,080 --> 00:40:03,800 Speaker 1: to misleads citizens about the costs of illegals and pretend 675 00:40:04,120 --> 00:40:08,520 Speaker 1: the problem was less massive all along than in reality 676 00:40:08,560 --> 00:40:13,280 Speaker 1: it is. Loaded misleading claims like America is a nation 677 00:40:13,320 --> 00:40:16,160 Speaker 1: of immigrants, and immigrants do the jobs Americans won't do, 678 00:40:16,520 --> 00:40:20,160 Speaker 1: have become second nature for many American commentators, in particular 679 00:40:20,239 --> 00:40:23,839 Speaker 1: news anchors policy analysts. They say these things as though 680 00:40:23,840 --> 00:40:27,960 Speaker 1: they are written in the Constitution itself. I mean, CNN 681 00:40:28,000 --> 00:40:31,240 Speaker 1: actually seems to believe that Emma Lazarus's Great Colossus poem 682 00:40:31,280 --> 00:40:33,719 Speaker 1: on the base of the Statue of Liberty is the 683 00:40:33,760 --> 00:40:37,719 Speaker 1: foundation of federal immigration law. You know the poem. For 684 00:40:37,760 --> 00:40:39,640 Speaker 1: anybody who doesn't know this, Just so you're clear, the 685 00:40:39,760 --> 00:40:45,360 Speaker 1: poem was for a fundraiser. The plaque is there for tourists. Okay, 686 00:40:45,400 --> 00:40:47,400 Speaker 1: that's where the Great Colossus bone. You know, and give 687 00:40:47,440 --> 00:40:49,920 Speaker 1: me you're tired, you're hungry, or I don't remember all 688 00:40:49,960 --> 00:40:52,560 Speaker 1: the poem, but you get it. Historically, ellis Island was 689 00:40:52,560 --> 00:40:55,040 Speaker 1: actually a place where immigrants could be rejected on the 690 00:40:55,080 --> 00:40:58,320 Speaker 1: spot after a week's long transatlantic journey. You got about 691 00:40:58,320 --> 00:41:01,160 Speaker 1: two percent of all new immigrants as island were for 692 00:41:01,360 --> 00:41:05,640 Speaker 1: medical or mental health reasons, told to go back on 693 00:41:05,680 --> 00:41:09,560 Speaker 1: the boat and go home. So people were turned away 694 00:41:09,600 --> 00:41:13,239 Speaker 1: even at Ellas Island. Not a lot, but there were 695 00:41:13,400 --> 00:41:17,520 Speaker 1: people turned away. The Leafe's rewriting of immigration history isn't 696 00:41:17,560 --> 00:41:20,200 Speaker 1: simply an academic matter. It's been used to create narratives 697 00:41:20,200 --> 00:41:23,520 Speaker 1: that support illegal immigration at the expense of rule of 698 00:41:23,600 --> 00:41:30,360 Speaker 1: law and sovereignty. So that's now it's at the point 699 00:41:30,360 --> 00:41:32,480 Speaker 1: where we have to see what's going to come next, 700 00:41:32,560 --> 00:41:35,959 Speaker 1: what's going to happen. We are at the extremes now, 701 00:41:36,440 --> 00:41:38,000 Speaker 1: We are at the phase where we would have to 702 00:41:38,000 --> 00:41:42,400 Speaker 1: think about what becomes of this country when there's another 703 00:41:42,520 --> 00:41:47,080 Speaker 1: mass legalization. Remember we had a mass legalization under Ronald 704 00:41:47,120 --> 00:41:50,480 Speaker 1: Reagan in nineteen eighty six, and they said it would 705 00:41:50,520 --> 00:41:53,440 Speaker 1: only be whatever. It was a couple million, and then 706 00:41:53,440 --> 00:41:55,560 Speaker 1: there was going to be very secure border and no 707 00:41:55,600 --> 00:41:58,279 Speaker 1: more illegal immigration. We got the amnesty, and then we 708 00:41:58,400 --> 00:42:01,960 Speaker 1: got millions and millions more illegal immigrants in the country. 709 00:42:02,320 --> 00:42:04,600 Speaker 1: And you know, if all of this is fine, if 710 00:42:04,600 --> 00:42:07,840 Speaker 1: it means if it is meaningless, as the left now pretends, 711 00:42:08,239 --> 00:42:10,719 Speaker 1: why do we even pretend there's a thing called assimilation? 712 00:42:10,760 --> 00:42:16,440 Speaker 1: Why have immigration laws at all? If immigration, including illegal immigration, 713 00:42:16,520 --> 00:42:20,000 Speaker 1: if illegal immigration is only good, if it is only 714 00:42:20,080 --> 00:42:23,160 Speaker 1: upside And there are some radical libertarian think tank types 715 00:42:23,200 --> 00:42:25,400 Speaker 1: who will always say that right, oh the more, if 716 00:42:25,400 --> 00:42:28,200 Speaker 1: we could take them, if we could take five hundred 717 00:42:28,200 --> 00:42:30,520 Speaker 1: million people from China the United States tomorrow, it would 718 00:42:30,520 --> 00:42:32,200 Speaker 1: make us wealthier, That's what they'll tell you. It'll be 719 00:42:32,200 --> 00:42:35,480 Speaker 1: a better country then, to which I say, okay, if 720 00:42:35,520 --> 00:42:38,960 Speaker 1: five hundred million Chinese arrived in America tomorrow, which I 721 00:42:39,000 --> 00:42:40,480 Speaker 1: know that's not going to happen, but we're just as 722 00:42:40,480 --> 00:42:44,040 Speaker 1: a thought experiment, would it still be America? It's still 723 00:42:44,040 --> 00:42:48,400 Speaker 1: the same country. Don't we have cultures, norms, more rays, 724 00:42:48,400 --> 00:42:52,160 Speaker 1: shared history, tradition. Doesn't all that come from being here 725 00:42:52,160 --> 00:42:54,200 Speaker 1: and being an American? And that we have an assimilation 726 00:42:54,239 --> 00:42:59,160 Speaker 1: process for people to become American over time. But you know, 727 00:42:59,280 --> 00:43:01,400 Speaker 1: when you show up yere illegally, and you know the 728 00:43:01,440 --> 00:43:04,920 Speaker 1: first day you step on us soil, you're not an American. 729 00:43:05,640 --> 00:43:08,719 Speaker 1: You're not by law, and you're not by any other definition. 730 00:43:08,840 --> 00:43:11,880 Speaker 1: So how do we actually view this as a society. 731 00:43:11,880 --> 00:43:13,560 Speaker 1: These are the conversations we have to have. And then, 732 00:43:13,560 --> 00:43:17,680 Speaker 1: of course there's the the question of the official count 733 00:43:18,080 --> 00:43:20,719 Speaker 1: as of twenty seventeen. They were saying, and it's it's 734 00:43:20,760 --> 00:43:22,400 Speaker 1: true now too. I mean, I just have the twenty 735 00:43:22,400 --> 00:43:24,840 Speaker 1: seventeen number in front of me, but they'll say about 736 00:43:24,840 --> 00:43:29,239 Speaker 1: eleven point seven million illegal aliens the United States. But 737 00:43:29,320 --> 00:43:32,440 Speaker 1: that figure is an estimate based on voluntary census data. 738 00:43:32,600 --> 00:43:35,839 Speaker 1: That's right, it's all census data they're using. The real 739 00:43:35,920 --> 00:43:38,399 Speaker 1: number of illegal aliens is probably much much higher. Right. 740 00:43:38,400 --> 00:43:40,839 Speaker 1: There were those math nerds at Yale, and I say 741 00:43:40,880 --> 00:43:43,640 Speaker 1: math nerds with reverence, just a couple of years ago 742 00:43:43,719 --> 00:43:46,600 Speaker 1: they did a PhD project and they looked at all 743 00:43:46,680 --> 00:43:49,520 Speaker 1: the available data and these are you know, these are 744 00:43:49,600 --> 00:43:53,680 Speaker 1: math whizzes, and they estimated the number of legal aliens 745 00:43:53,840 --> 00:43:56,800 Speaker 1: was more like twenty million, which is close to double 746 00:43:57,440 --> 00:44:02,880 Speaker 1: the official figures. It's pretty remarkable when you see that. 747 00:44:03,040 --> 00:44:06,920 Speaker 1: We're told the number has stayed constant. Illegal aliens has 748 00:44:06,960 --> 00:44:09,680 Speaker 1: stayed constant for like the last ten or fifteen years. 749 00:44:10,040 --> 00:44:12,839 Speaker 1: Net migration zero. You hear all these things. Meanwhile, when 750 00:44:12,840 --> 00:44:14,840 Speaker 1: I've been down on the border and talk to border patrol, 751 00:44:15,440 --> 00:44:19,480 Speaker 1: members of border patrol, you know what they say, that's ridiculous. 752 00:44:20,000 --> 00:44:23,280 Speaker 1: We're catching illegals crossing over all the time, and illegals 753 00:44:23,320 --> 00:44:25,759 Speaker 1: aren't in large numbers going back to where they came from, 754 00:44:25,840 --> 00:44:27,920 Speaker 1: especially if they come from Pakistan or China or the 755 00:44:27,920 --> 00:44:31,960 Speaker 1: Philippines or wherever they're not they're not coming, they're not 756 00:44:32,000 --> 00:44:33,799 Speaker 1: going back to their home countries. The once they get here, 757 00:44:33,840 --> 00:44:36,960 Speaker 1: they stay. But we can't even we cannot have an 758 00:44:37,000 --> 00:44:40,120 Speaker 1: honest discussion about immigration in this country. And again it 759 00:44:40,160 --> 00:44:42,560 Speaker 1: see even just the notion of immigration. I'm talking about 760 00:44:42,560 --> 00:44:45,920 Speaker 1: illegal immigration. We can't have an honest discussion about it 761 00:44:45,960 --> 00:44:49,160 Speaker 1: because that would mean the left won't get its way 762 00:44:49,280 --> 00:44:52,080 Speaker 1: quite as easily. But do you see how they're ramming 763 00:44:52,120 --> 00:44:54,680 Speaker 1: through this spending bill in the Congress. See how their 764 00:44:54,719 --> 00:44:57,719 Speaker 1: plans now or to just continue doing exactly what they want, 765 00:44:58,160 --> 00:45:01,640 Speaker 1: doesn't matter what the Republicans think. That's the plan for 766 00:45:01,840 --> 00:45:05,480 Speaker 1: amnesty too, That's how they're going to ram through amnesty.