1 00:00:01,639 --> 00:00:04,920 Speaker 1: You're listening to the Buck Sexton Show podcast, make sure 2 00:00:04,920 --> 00:00:07,960 Speaker 1: you subscribe to the podcast on the iHeartRadio app or 3 00:00:07,960 --> 00:00:12,879 Speaker 1: wherever you get your podcasts. Cuomo advisors altered report on 4 00:00:13,000 --> 00:00:17,520 Speaker 1: COVID nineteen nursing home debts. That was the story in 5 00:00:17,560 --> 00:00:21,239 Speaker 1: the Wall Street Journal just yesterday. I want to make 6 00:00:21,280 --> 00:00:23,400 Speaker 1: sure that we all focus in on this because I 7 00:00:23,480 --> 00:00:26,239 Speaker 1: know the media is spending a lot of time on 8 00:00:26,320 --> 00:00:31,080 Speaker 1: the sexual harassment allegations about Cuomo. And that's fine, he's 9 00:00:31,080 --> 00:00:33,479 Speaker 1: a creepy old weirdo. I get it. I'm with you 10 00:00:33,560 --> 00:00:36,879 Speaker 1: on all that. But what he did in the nursing 11 00:00:36,920 --> 00:00:42,159 Speaker 1: home fiasco was far more egregious as a matter of 12 00:00:42,240 --> 00:00:47,240 Speaker 1: public conduct, and far more damaging to the Democrat party 13 00:00:47,320 --> 00:00:51,159 Speaker 1: and brand and the media too. That's a mega scandal, 14 00:00:51,280 --> 00:00:54,440 Speaker 1: not not a thing that can be apologized for, not 15 00:00:54,520 --> 00:00:56,680 Speaker 1: a thing that you can just wave aside with a 16 00:00:56,760 --> 00:00:59,520 Speaker 1: hand and a few tears and say, oh the better. 17 00:01:00,280 --> 00:01:04,280 Speaker 1: I promise that's not the way this works. We need 18 00:01:04,319 --> 00:01:08,040 Speaker 1: to continue to hammer home the point here that Cuomo 19 00:01:08,480 --> 00:01:14,000 Speaker 1: had people on his staff intentionally change numbers about deaths 20 00:01:14,080 --> 00:01:19,160 Speaker 1: during a pandemic. This would be like a general lying 21 00:01:19,400 --> 00:01:23,479 Speaker 1: about troops killed in battle so he could keep his job. 22 00:01:24,040 --> 00:01:27,280 Speaker 1: That's how serious this is. You have to understand the 23 00:01:27,319 --> 00:01:31,759 Speaker 1: degree to which this change thinking, and this mattered at 24 00:01:31,800 --> 00:01:37,880 Speaker 1: this period in time of extremely important and tense decision making. 25 00:01:39,080 --> 00:01:41,759 Speaker 1: Maybe people would have thought differently about, Oh, I don't know, 26 00:01:42,040 --> 00:01:46,280 Speaker 1: the Great Barrington Declaration about focused protection for seniors if 27 00:01:46,319 --> 00:01:51,600 Speaker 1: they had known just how egregious the government misconduct, how 28 00:01:52,040 --> 00:01:54,760 Speaker 1: awful the decision making was in New York. Remember New 29 00:01:54,800 --> 00:01:58,440 Speaker 1: York and New Jersey number two and number one, respectively 30 00:01:58,880 --> 00:02:01,480 Speaker 1: for COVID deaths for one hundred thousand people in the 31 00:02:01,560 --> 00:02:06,160 Speaker 1: United States, both very deep blue Democrats states. Let's remember that. 32 00:02:06,680 --> 00:02:11,720 Speaker 1: And yet somehow Cuomo was a hero. He was second 33 00:02:11,880 --> 00:02:15,760 Speaker 1: only to Fauci, to whom I can only say he 34 00:02:15,800 --> 00:02:20,200 Speaker 1: needs to go Fauci himself, second only to Fauci in 35 00:02:20,320 --> 00:02:23,359 Speaker 1: terms of the hero worship from the media. What the 36 00:02:23,400 --> 00:02:25,919 Speaker 1: heck was this all about? How did this even happen? 37 00:02:27,120 --> 00:02:29,760 Speaker 1: There's so much going on here. First of all, you 38 00:02:29,880 --> 00:02:32,720 Speaker 1: have the fact that if you're a Democrat, you can 39 00:02:32,800 --> 00:02:35,560 Speaker 1: get away with things that you would never be able 40 00:02:35,600 --> 00:02:39,680 Speaker 1: to if this were a Republican. Imagine this were Christy Gnome. 41 00:02:40,320 --> 00:02:45,960 Speaker 1: Imagine this were Ron Descantists. If Ron Descantists hid fifteen 42 00:02:46,200 --> 00:02:50,519 Speaker 1: thousand nursing home debts by by undercounting it by fifty percent, 43 00:02:50,560 --> 00:02:53,640 Speaker 1: so whatever they said it was roughly you got seventy 44 00:02:53,639 --> 00:02:57,120 Speaker 1: five hundred. Let's say something along that along those lines. 45 00:02:57,320 --> 00:02:59,360 Speaker 1: If he said that it was seventy five hundred, it 46 00:02:59,360 --> 00:03:05,040 Speaker 1: was really fifteen thousand, people would be demanding not only 47 00:03:05,800 --> 00:03:08,640 Speaker 1: he resigned, and when I say people, I mean universal, 48 00:03:08,760 --> 00:03:12,000 Speaker 1: there would be universal, nationwide condemnation. In the media. It 49 00:03:12,000 --> 00:03:15,160 Speaker 1: would be the top story. And there's just this kind 50 00:03:15,160 --> 00:03:19,840 Speaker 1: of muted, halfhearted reportage on it from the Democrat outlets. 51 00:03:19,919 --> 00:03:23,840 Speaker 1: You know, yeah, it looks like maybe a crazy thing happened. 52 00:03:23,840 --> 00:03:28,040 Speaker 1: Man Cuomo was undercounting nursing home deaths by I don't know, 53 00:03:28,160 --> 00:03:32,080 Speaker 1: like fifty percent or something. Wow, they really don't math 54 00:03:32,440 --> 00:03:36,320 Speaker 1: so good over in the Cuomo office, do they. Yeah, 55 00:03:36,520 --> 00:03:43,040 Speaker 1: tough to do addition and subtraction. This mattered immensely. And 56 00:03:43,120 --> 00:03:46,240 Speaker 1: if this were a Rhonda Santists, it would be the 57 00:03:46,320 --> 00:03:48,480 Speaker 1: number one news story. I mean, you know, you remember 58 00:03:48,480 --> 00:03:51,680 Speaker 1: when during the Bush administration there was that misconduct in 59 00:03:52,360 --> 00:03:55,440 Speaker 1: Abu Grabe and that was on the front page of 60 00:03:55,440 --> 00:03:57,800 Speaker 1: the newspaper day after day after day after day, and 61 00:03:57,880 --> 00:04:00,320 Speaker 1: I remember being a pretty pretty young guy at the 62 00:04:00,360 --> 00:04:02,800 Speaker 1: time and saying, Wow, So this is how you make 63 00:04:02,840 --> 00:04:06,240 Speaker 1: a story really stick. This is how you really tear 64 00:04:06,320 --> 00:04:08,560 Speaker 1: down an administration with the story. I mean, George Bush 65 00:04:08,960 --> 00:04:11,120 Speaker 1: wasn't giving that order, but Abu Gray was on the 66 00:04:11,120 --> 00:04:13,040 Speaker 1: front page of the newspaper of the New York Times, 67 00:04:13,040 --> 00:04:16,679 Speaker 1: for example, I want to say twenty out of thirty 68 00:04:16,720 --> 00:04:18,640 Speaker 1: days or something like that. It was a long time ago, 69 00:04:18,680 --> 00:04:21,960 Speaker 1: but it was so much coverage of it, just saturation, 70 00:04:22,520 --> 00:04:26,279 Speaker 1: saturation coverage. And they could do the same thing with Puma. 71 00:04:26,400 --> 00:04:29,960 Speaker 1: This is a really big deal. We've had Democrats and 72 00:04:29,960 --> 00:04:34,480 Speaker 1: we've had the corporate media lecturing us month after month 73 00:04:34,520 --> 00:04:38,040 Speaker 1: after month about listening to the data, obeying the science, 74 00:04:38,200 --> 00:04:41,960 Speaker 1: doing what Fauci tells us, And the hero of the 75 00:04:42,000 --> 00:04:47,160 Speaker 1: pandemic was actually the villain. And we're not supposed to 76 00:04:47,160 --> 00:04:50,200 Speaker 1: think that this is indicative of broader problems and the 77 00:04:50,200 --> 00:04:53,120 Speaker 1: way they approached this whole thing in twenty twenty. We're 78 00:04:53,120 --> 00:04:56,160 Speaker 1: not supposed to make the connection that clearly they were 79 00:04:56,200 --> 00:05:00,320 Speaker 1: willing to go along with this in part because they 80 00:05:00,400 --> 00:05:05,279 Speaker 1: knew that Cuomo was a useful weapon against Donald Trump 81 00:05:05,320 --> 00:05:09,400 Speaker 1: in the election year, that Orange man bad who liked 82 00:05:09,520 --> 00:05:14,680 Speaker 1: hydroxychloroquin as an idea, and you wasn't running around quadruple 83 00:05:14,720 --> 00:05:18,400 Speaker 1: masking that maybe they were a little bit unfair to 84 00:05:18,480 --> 00:05:22,800 Speaker 1: the point of sheer dishonesty about Trump in the election year, 85 00:05:23,040 --> 00:05:26,240 Speaker 1: and we're willing to prop up people like Cuomo. Here's 86 00:05:26,080 --> 00:05:29,480 Speaker 1: this piece the Wall Street Journal New York's Andrew Cuomo. 87 00:05:29,800 --> 00:05:33,400 Speaker 1: New York Governor Andrew Cuomo's top advisors successfully pushed state 88 00:05:33,440 --> 00:05:38,239 Speaker 1: health officials to strip a public health report of data 89 00:05:38,440 --> 00:05:40,880 Speaker 1: showing that more nursing home residents had died of COVID 90 00:05:40,960 --> 00:05:46,160 Speaker 1: nineteen than the administration had acknowledged. The July report, which 91 00:05:46,200 --> 00:05:48,640 Speaker 1: examined the factors that led to the spread of the 92 00:05:48,680 --> 00:05:52,160 Speaker 1: virus in nursing homes, focused only on residents who died 93 00:05:52,240 --> 00:05:56,120 Speaker 1: inside long term care facilities, leaving out those who had 94 00:05:56,120 --> 00:06:00,320 Speaker 1: died in hospitals after becoming sick in nursing homes. As 95 00:06:00,320 --> 00:06:02,880 Speaker 1: a result, the report said six thousand, four hundred and 96 00:06:02,880 --> 00:06:07,640 Speaker 1: thirty two nursing home residents had died, a significant undercount 97 00:06:07,680 --> 00:06:11,039 Speaker 1: of the death toll attributed to the state's most vulnerable population. 98 00:06:11,440 --> 00:06:14,720 Speaker 1: The People said the initial version of the report said 99 00:06:14,720 --> 00:06:18,200 Speaker 1: nearly ten thousand nursing home residents had died in New 100 00:06:18,279 --> 00:06:21,520 Speaker 1: York by July late last year. One of the people said, 101 00:06:21,920 --> 00:06:27,520 Speaker 1: according to those with knowledge of the report, unbelievable. They 102 00:06:27,560 --> 00:06:29,919 Speaker 1: went from ten thousand to six thousand. That's a pretty 103 00:06:30,080 --> 00:06:35,200 Speaker 1: big difference, isn't it. Why would they do that, well, 104 00:06:35,240 --> 00:06:39,799 Speaker 1: because they knew that that number would really shock people, 105 00:06:40,560 --> 00:06:42,880 Speaker 1: and they knew that other states that also have senior 106 00:06:42,880 --> 00:06:46,159 Speaker 1: citizens would be a point of comparison. And what they're 107 00:06:46,200 --> 00:06:47,800 Speaker 1: now going to be able to do is say, hold 108 00:06:47,839 --> 00:06:51,960 Speaker 1: on a second. The data was fudged here in a 109 00:06:52,000 --> 00:06:55,800 Speaker 1: way that was meant to prevent accurate comparison. How can 110 00:06:55,880 --> 00:06:59,120 Speaker 1: you know whether your public health officials? How could you 111 00:06:59,160 --> 00:07:01,520 Speaker 1: know whether your governor is doing a good job when 112 00:07:01,560 --> 00:07:05,200 Speaker 1: they're lying about the very data that they claim is 113 00:07:05,240 --> 00:07:09,360 Speaker 1: supporting their position. And let me tell you this right now, 114 00:07:09,560 --> 00:07:12,040 Speaker 1: this is not the only instance. It may be the 115 00:07:12,080 --> 00:07:17,520 Speaker 1: most egregious, but the only instance of fraud through numbers manipulation. 116 00:07:17,640 --> 00:07:21,440 Speaker 1: During this pandemic. We will find more of this. There 117 00:07:21,480 --> 00:07:24,960 Speaker 1: are other cases where people either cherry pick numbers. And 118 00:07:25,000 --> 00:07:30,040 Speaker 1: I'm talking about governor's state health officials. Maybe even Fauci himself. 119 00:07:30,240 --> 00:07:33,840 Speaker 1: They cherry pick data to fit a preferred narrative and 120 00:07:33,960 --> 00:07:37,200 Speaker 1: suppressed anything that challenged what they wanted the people to believe. 121 00:07:38,640 --> 00:07:41,800 Speaker 1: If this were if Chromo were the CEO of a 122 00:07:41,920 --> 00:07:45,760 Speaker 1: publicly traded company, or any company for that matter, if 123 00:07:45,840 --> 00:07:49,559 Speaker 1: Chromo were the CEO of a private corporation, this kind 124 00:07:49,600 --> 00:07:53,640 Speaker 1: of activity of hiding numbers like this, if they were 125 00:07:53,680 --> 00:07:55,559 Speaker 1: profit numbers, for example. I mean, if you were cooking 126 00:07:55,560 --> 00:07:58,600 Speaker 1: the books, he'd be facing prison time. But he cooked 127 00:07:58,600 --> 00:08:03,000 Speaker 1: the books intentionally on deaths during a pandemic, when decisions 128 00:08:03,000 --> 00:08:07,200 Speaker 1: were being made that were directly affecting and in some cases, 129 00:08:07,200 --> 00:08:11,360 Speaker 1: as we see now, causing those deaths, and we're supposed 130 00:08:11,400 --> 00:08:16,160 Speaker 1: to just forget about it, no big deal. Everybody was 131 00:08:16,240 --> 00:08:19,880 Speaker 1: doing their best. Cuomo was giving us such great press conferences. 132 00:08:19,880 --> 00:08:22,480 Speaker 1: His brother over at CNN was doing such funny stuff 133 00:08:22,480 --> 00:08:25,040 Speaker 1: with him at night. They should have had a duo show. Well, 134 00:08:25,080 --> 00:08:28,440 Speaker 1: I guess they did. These are the people, these are 135 00:08:28,440 --> 00:08:31,640 Speaker 1: the voices, these are the platforms out there, all these 136 00:08:31,680 --> 00:08:36,800 Speaker 1: different Democrat and Cuomo aligned groups and individuals who have 137 00:08:36,840 --> 00:08:39,440 Speaker 1: been telling you all on to trust them, believe them. 138 00:08:40,320 --> 00:08:44,400 Speaker 1: And they missed, and they also slowed this down right. 139 00:08:44,920 --> 00:08:47,640 Speaker 1: That was another part of it. They were hoping to 140 00:08:47,800 --> 00:08:51,160 Speaker 1: delay this, and they managed to delay until after the election, 141 00:08:51,320 --> 00:08:54,120 Speaker 1: which is why now they're willing to finally let this 142 00:08:54,160 --> 00:08:57,359 Speaker 1: all go. Why now you're seeing all the sexual harassment 143 00:08:57,400 --> 00:09:00,199 Speaker 1: stories and you know there are people who are who 144 00:09:00,200 --> 00:09:02,440 Speaker 1: are actually sitting down to do interviews with the accusers. 145 00:09:02,480 --> 00:09:08,160 Speaker 1: All this is happening because Cuomo's extreme usefulness has passed. 146 00:09:08,720 --> 00:09:10,560 Speaker 1: You know, you see this with Cuomo, it reminds me 147 00:09:10,600 --> 00:09:13,440 Speaker 1: of what I believe will happen soon with Joe Biden, 148 00:09:13,800 --> 00:09:17,440 Speaker 1: where eventually the Democrats will no longer be able to 149 00:09:17,440 --> 00:09:21,600 Speaker 1: prop up Hiden Biden, who's declining. We'll figure out this 150 00:09:21,640 --> 00:09:24,240 Speaker 1: guy really isn't up for this. It'll be apparent, it'll 151 00:09:24,240 --> 00:09:27,720 Speaker 1: be embarrassing, it'll be sad, and they'll say, oh, yeah, sorry, 152 00:09:27,760 --> 00:09:30,480 Speaker 1: I guess we missed that. But he beat Trump, didn't he. 153 00:09:31,200 --> 00:09:34,120 Speaker 1: This is how they play the game. It's the Harry 154 00:09:34,120 --> 00:09:37,200 Speaker 1: Reid approach to politics. Remember Harry Reid lied about Mitt 155 00:09:37,280 --> 00:09:39,400 Speaker 1: Romney's tax returns. You know, I'm no Mitt Romney fan, 156 00:09:39,880 --> 00:09:43,880 Speaker 1: but when asked about this just complete slander, Harry Reid 157 00:09:43,960 --> 00:09:46,240 Speaker 1: laughed and said he didn't win, did he? And he 158 00:09:46,360 --> 00:09:49,839 Speaker 1: was right. This is how democrats, this is how your 159 00:09:49,840 --> 00:09:53,840 Speaker 1: corporate media approaches their job. They are on a team. 160 00:09:54,120 --> 00:09:56,520 Speaker 1: They have picked a side, and in this case of 161 00:09:56,600 --> 00:10:00,000 Speaker 1: Governor Cuomo, the side they picked was lying about thousand 162 00:10:00,040 --> 00:10:04,600 Speaker 1: and thousands of deaths and causing Remember it's not just 163 00:10:04,760 --> 00:10:07,920 Speaker 1: that they were embarrassed by the number. I mean to 164 00:10:08,000 --> 00:10:10,280 Speaker 1: understand the full scope of this, you have to recognize 165 00:10:10,679 --> 00:10:17,720 Speaker 1: that Cuomo, because of his unthinkably stupid decision to try 166 00:10:17,720 --> 00:10:22,160 Speaker 1: to clear out hospital space faster by forcing COVID positive 167 00:10:22,200 --> 00:10:26,000 Speaker 1: patients back into nursing homes, he caused more of these deaths. 168 00:10:26,000 --> 00:10:28,640 Speaker 1: You see, it wasn't just this number looks bad for 169 00:10:28,679 --> 00:10:31,280 Speaker 1: the state of New York. It's Cuomo made a decision, 170 00:10:31,679 --> 00:10:34,560 Speaker 1: and some of that decision making, or some of that 171 00:10:34,640 --> 00:10:39,000 Speaker 1: decisions ramifications, led to people's moms and dads, grandmas and 172 00:10:39,040 --> 00:10:43,439 Speaker 1: grandpa's dying in nursing homes, not allowed to see their 173 00:10:43,480 --> 00:10:47,240 Speaker 1: family members, maybe allowed a last zoom call. It is 174 00:10:47,440 --> 00:10:51,080 Speaker 1: awful beyond words. But he was telling you, he was 175 00:10:51,160 --> 00:10:53,840 Speaker 1: giving you lectures, and even if you don't live in 176 00:10:53,840 --> 00:10:57,480 Speaker 1: New York, he doesn't care. He was America's lecturer in 177 00:10:57,559 --> 00:11:01,600 Speaker 1: chief during COVID. That's what Cuomo was. He was telling you, 178 00:11:02,120 --> 00:11:06,240 Speaker 1: if you don't mask up, you might kill somebody. You 179 00:11:06,320 --> 00:11:09,559 Speaker 1: might cause somebody else's family member, loved one to die. 180 00:11:10,080 --> 00:11:12,880 Speaker 1: How dare you do exactly what Cuomo says or else 181 00:11:14,200 --> 00:11:18,800 Speaker 1: talk about what psychologists would call projection. This is so 182 00:11:18,800 --> 00:11:21,760 Speaker 1: far the biggest scandal, though there are many, and there's 183 00:11:21,760 --> 00:11:24,520 Speaker 1: going to be a lot more accountability that we have 184 00:11:24,600 --> 00:11:27,560 Speaker 1: to force on the lockdowners as we have more data 185 00:11:27,600 --> 00:11:30,040 Speaker 1: and more of the truth can finally come out. But 186 00:11:30,040 --> 00:11:35,080 Speaker 1: what Cuomo did was the most appalling decision and the 187 00:11:35,200 --> 00:11:40,160 Speaker 1: most dishonest aftermath of any major policy choice of the 188 00:11:40,320 --> 00:11:45,120 Speaker 1: entire COVID nineteen pandemic. And we're finding out about it now. 189 00:11:46,400 --> 00:11:48,680 Speaker 1: We will not let this go by the way. I've 190 00:11:48,760 --> 00:11:50,679 Speaker 1: known about this for months. You've known about this for months. 191 00:11:50,960 --> 00:11:53,120 Speaker 1: It's been reported the New York Post. Now we just 192 00:11:53,160 --> 00:11:55,000 Speaker 1: have more and more information. It looks even worse than 193 00:11:55,000 --> 00:11:57,880 Speaker 1: we thought. The mainstream media is finally touching on this. 194 00:11:57,960 --> 00:12:01,040 Speaker 1: The mainstream media has finally come around do it because 195 00:12:01,040 --> 00:12:03,160 Speaker 1: it served its purpose to suppress it when they did. 196 00:12:04,400 --> 00:12:09,000 Speaker 1: But do not forget this. Cuomo lied seniors died. That 197 00:12:09,160 --> 00:12:12,719 Speaker 1: is what happened. The Democrat Party should own this. They 198 00:12:12,720 --> 00:12:16,440 Speaker 1: are responsible for this, and the corporate media's credibility is 199 00:12:16,679 --> 00:12:20,480 Speaker 1: even further sullied if that was even a thing. That's possible. 200 00:12:20,640 --> 00:12:26,040 Speaker 1: Just how much did the media love the love Gov. 201 00:12:27,080 --> 00:12:30,559 Speaker 1: Governor Andrew Cuomo. The Cuomo sexuals, remember that that was 202 00:12:30,600 --> 00:12:33,160 Speaker 1: a thing for a while. People were walking around with 203 00:12:33,200 --> 00:12:37,880 Speaker 1: t shirts on such a hero. He's such an eligible bachelor. 204 00:12:38,080 --> 00:12:41,200 Speaker 1: Oh gosh, people were batting their eyelashes at Cuomo because 205 00:12:41,200 --> 00:12:44,040 Speaker 1: he was so amazing. He was keeping us safe. The 206 00:12:44,160 --> 00:12:47,880 Speaker 1: guy's a thug, a bully, and a liar, the worst 207 00:12:47,920 --> 00:12:51,640 Speaker 1: of politics, and also a sexual harasser on top of 208 00:12:51,640 --> 00:12:55,720 Speaker 1: all of that, which we will also get to here. 209 00:12:55,760 --> 00:12:58,480 Speaker 1: He is according to the media over the course of 210 00:12:58,520 --> 00:13:00,280 Speaker 1: this pandemic. I really, I really want you to just 211 00:13:00,400 --> 00:13:03,559 Speaker 1: sit back and take all this in. Remember Cuomo live. 212 00:13:03,640 --> 00:13:11,439 Speaker 1: Seniors died. Cuomo made an unthinkably stupid bullying decision, threatened 213 00:13:11,520 --> 00:13:19,640 Speaker 1: nursing homes, basically used his pandemic superpower or ultra authoritarianism 214 00:13:19,640 --> 00:13:22,360 Speaker 1: and superpower sounds like he's a hero, but use the 215 00:13:22,360 --> 00:13:28,120 Speaker 1: authoritarian emergency powers. There we go that he had and 216 00:13:28,600 --> 00:13:30,880 Speaker 1: then lied about it when it was a disaster afterwards, 217 00:13:32,080 --> 00:13:34,240 Speaker 1: and then tried to shame everybody else who wouldn't keep 218 00:13:34,280 --> 00:13:38,240 Speaker 1: listening to him. This is what you're the guardians of 219 00:13:38,240 --> 00:13:42,960 Speaker 1: our republic, right the Fourth Estate. This is what they 220 00:13:43,000 --> 00:13:47,199 Speaker 1: were saying about all of it. Play too, playing bye 221 00:13:47,240 --> 00:13:50,720 Speaker 1: for Governor Cuomo's Press convers is Daily Briefing, David, We're 222 00:13:50,720 --> 00:13:53,679 Speaker 1: sitting by for Governor Cuomo's press convers is Daily Briefing. 223 00:13:53,920 --> 00:13:57,600 Speaker 1: How would you contrast Cuomo and President Trump's handling the crisis, 224 00:13:57,960 --> 00:14:03,000 Speaker 1: truth versus mendacity. Governor Cuomo out there day after day 225 00:14:03,040 --> 00:14:07,600 Speaker 1: after day. Everything Trump isn't honest, direct, brave, real leadership. 226 00:14:07,679 --> 00:14:10,040 Speaker 1: I'm the kind the President of the United States should 227 00:14:10,040 --> 00:14:13,920 Speaker 1: have provided. Governor Cuomo is clearly living in a totally 228 00:14:13,960 --> 00:14:18,000 Speaker 1: different reality, the actual one, than the President of the 229 00:14:18,040 --> 00:14:20,560 Speaker 1: United States. Governor Cuomo has become a national leader for 230 00:14:20,600 --> 00:14:22,800 Speaker 1: a lot of people. Andrew Cuomo has become the leader 231 00:14:22,840 --> 00:14:26,200 Speaker 1: of the Democratic Party. He is conveying incredible strength. You 232 00:14:26,320 --> 00:14:30,240 Speaker 1: spoke to National Guard troops today in a stirring speech 233 00:14:30,320 --> 00:14:33,160 Speaker 1: that if I wasn't listening carefully, I thought you were 234 00:14:33,200 --> 00:14:36,200 Speaker 1: sending soldiers off to war. This has been a remarkable 235 00:14:36,200 --> 00:14:39,400 Speaker 1: show of leadership by Governor Cuomo in recent days. He's 236 00:14:39,440 --> 00:14:43,040 Speaker 1: providing hope, but not false hope. Governor of Cuomo, I think, 237 00:14:43,120 --> 00:14:46,080 Speaker 1: is one of the heroes on the front lines. With 238 00:14:46,200 --> 00:14:48,960 Speaker 1: all of this adulation that you're getting for doing your job, 239 00:14:49,200 --> 00:14:51,720 Speaker 1: are you thinking about running for president? Andrew Cuomo, who 240 00:14:51,720 --> 00:14:54,400 Speaker 1: has a daily television show now and has become in 241 00:14:54,480 --> 00:14:58,120 Speaker 1: some way as the shadow president. Maybe Trump is just 242 00:14:58,120 --> 00:15:00,240 Speaker 1: a little bit mad that Governor Cuomo has been become 243 00:15:00,240 --> 00:15:04,240 Speaker 1: a kind of acting president. Dealing with hardship actually makes 244 00:15:04,280 --> 00:15:07,800 Speaker 1: you stronger. That's what Governor Cuomo said earlier today. That's 245 00:15:07,840 --> 00:15:09,800 Speaker 1: what I'm gonna teach my kids right now at home. 246 00:15:11,640 --> 00:15:15,920 Speaker 1: Brian Stelter, that guy is Oh my god, It's like 247 00:15:16,040 --> 00:15:19,760 Speaker 1: the equivalent of pouring estrogen in your ear or something. 248 00:15:19,800 --> 00:15:23,640 Speaker 1: I mean, this guy is. It's unbelievable. I gotta tell 249 00:15:23,680 --> 00:15:26,920 Speaker 1: you that that to me. I listened to this and 250 00:15:27,160 --> 00:15:32,640 Speaker 1: I just I just shiver. It's just so gross. The 251 00:15:32,680 --> 00:15:38,600 Speaker 1: whole thing is so obtuse and absurd. What what was 252 00:15:38,720 --> 00:15:41,160 Speaker 1: going through their mind? Oh well, we know, notice how 253 00:15:41,160 --> 00:15:43,800 Speaker 1: many clips we can pull of them saying unlike Trump, 254 00:15:43,920 --> 00:15:48,640 Speaker 1: Cuomo is great. Unlike Trump, Cuomo speaks the truth. That's 255 00:15:48,760 --> 00:15:52,200 Speaker 1: they're just their brains were fixated on this, fixated on this. 256 00:15:53,480 --> 00:15:55,880 Speaker 1: You know, an honest assessment of Trump during the pandemic 257 00:15:55,880 --> 00:15:58,840 Speaker 1: would start with he basically did everything foulch he told 258 00:15:58,880 --> 00:16:02,080 Speaker 1: them to. When I spoke to the President in May 259 00:16:02,080 --> 00:16:05,400 Speaker 1: in the Oval Office, the one thing he actually shook 260 00:16:05,440 --> 00:16:07,600 Speaker 1: my hand in promise. The one thing that I asked 261 00:16:07,760 --> 00:16:10,240 Speaker 1: is said, sir, please don't allow for there to be 262 00:16:10,720 --> 00:16:13,720 Speaker 1: a federal push, a national push for and across the 263 00:16:13,760 --> 00:16:16,800 Speaker 1: board lockdown. Let's and he said, I totally agree, I 264 00:16:16,840 --> 00:16:19,000 Speaker 1: get it. He had been listening to Fauci a lot 265 00:16:19,080 --> 00:16:22,000 Speaker 1: up to that point. He'd been listening to Fauci, and 266 00:16:22,040 --> 00:16:25,480 Speaker 1: we've all seen what the results are. Remember, this is 267 00:16:25,520 --> 00:16:28,480 Speaker 1: going to be treated like it's an objective discussion about 268 00:16:28,480 --> 00:16:30,960 Speaker 1: the data and what's best for the country. But really, 269 00:16:31,000 --> 00:16:33,680 Speaker 1: as you see from the teachers unions, this is about 270 00:16:33,680 --> 00:16:36,760 Speaker 1: what is best for different individuals, their power, their money. 271 00:16:38,040 --> 00:16:40,520 Speaker 1: They don't want honesty about what's happened during this pandemic. 272 00:16:40,520 --> 00:16:44,280 Speaker 1: They certainly don't want accountability for people that we're propping 273 00:16:44,400 --> 00:16:48,920 Speaker 1: up liars, frauds and thugs like Andrew Cuomo. I mean 274 00:16:48,960 --> 00:16:51,280 Speaker 1: The fact that this guy, I would put money on 275 00:16:51,280 --> 00:16:53,480 Speaker 1: it right now, is going to finish his term as governor. 276 00:16:53,560 --> 00:16:56,200 Speaker 1: He will not resign and they will not impeach him 277 00:16:56,880 --> 00:17:02,040 Speaker 1: just shows you how morally decrepit the Democrat Party in 278 00:17:02,080 --> 00:17:03,840 Speaker 1: the state of New York and across the country is 279 00:17:04,880 --> 00:17:07,520 Speaker 1: they're going to let this guy stay. If he stays, 280 00:17:07,680 --> 00:17:11,400 Speaker 1: who goes? And let's just remember this, They're not going 281 00:17:11,440 --> 00:17:15,840 Speaker 1: to impeach. Democrats will not impeach Governor Cuomo, but they 282 00:17:15,880 --> 00:17:20,200 Speaker 1: impeach Trump twice. The first time and I know this 283 00:17:20,280 --> 00:17:23,600 Speaker 1: was in Congress, but the first time over a phone 284 00:17:23,600 --> 00:17:28,720 Speaker 1: call to the Ukrainian president where nothing happened. Cuomo sent 285 00:17:28,840 --> 00:17:32,840 Speaker 1: seniors to die in nursing homes like a moron because 286 00:17:32,880 --> 00:17:35,240 Speaker 1: he thought he was so smart and he was drunk 287 00:17:35,280 --> 00:17:38,800 Speaker 1: with power, and then he lied about it to everybody. 288 00:17:38,840 --> 00:17:42,320 Speaker 1: If that doesn't make you resign, what does. Governor Cuomo 289 00:17:42,560 --> 00:17:47,560 Speaker 1: said that he has never propositioned anybody. Do you believe 290 00:17:47,560 --> 00:17:51,399 Speaker 1: that he was propositioning you? Yes? For what sex? And 291 00:17:51,440 --> 00:17:56,359 Speaker 1: then he explains at that point that he is looking 292 00:17:56,400 --> 00:18:02,000 Speaker 1: for a girlfriend, he's lonely, he's tired. You've just finished 293 00:18:02,040 --> 00:18:05,919 Speaker 1: dictation and the governor is telling you he's lonely and 294 00:18:06,000 --> 00:18:09,320 Speaker 1: looking for a relationship. Yes, you have been quoted as 295 00:18:09,320 --> 00:18:12,600 Speaker 1: saying that. He also asked you about if you'd ever 296 00:18:12,640 --> 00:18:16,600 Speaker 1: been with an older man. Yeah, he asked me if 297 00:18:16,760 --> 00:18:22,439 Speaker 1: age difference mattered. He also explained that he was fine 298 00:18:23,240 --> 00:18:26,600 Speaker 1: with anyone over twenty two and how old are you? 299 00:18:27,160 --> 00:18:30,920 Speaker 1: Twenty five? What were you thinking as he's asking you 300 00:18:31,440 --> 00:18:34,600 Speaker 1: these questions. I thought he's trying to sleep with me. 301 00:18:35,160 --> 00:18:38,800 Speaker 1: The Governor is trying to sleep with me, and I'm 302 00:18:38,880 --> 00:18:41,840 Speaker 1: deeply uncomfortable and I have to get out of this 303 00:18:41,960 --> 00:18:44,919 Speaker 1: room as soon as possible. And to be clear, what 304 00:18:45,160 --> 00:18:46,960 Speaker 1: made you think that he was trying to sleep with 305 00:18:47,040 --> 00:18:52,080 Speaker 1: you Without explicitly saying it, He implied to me that 306 00:18:52,200 --> 00:18:54,960 Speaker 1: I was old enough for him, and he was lonely. 307 00:18:56,680 --> 00:18:59,160 Speaker 1: He was trying to sleep with her. Can we all 308 00:18:59,200 --> 00:19:03,480 Speaker 1: just state the obvious year together? I mean, that's none 309 00:19:03,480 --> 00:19:06,280 Speaker 1: of us have been in the workplace and had conversations, 310 00:19:06,320 --> 00:19:08,280 Speaker 1: and you know, maybe you know, shared some of our 311 00:19:08,320 --> 00:19:11,200 Speaker 1: personal lives with friends or colleagues or whatever, but we 312 00:19:11,240 --> 00:19:13,639 Speaker 1: also know when you're the governor of New York and 313 00:19:13,680 --> 00:19:17,359 Speaker 1: you have a twenty five year old, attractive female who's 314 00:19:17,400 --> 00:19:21,480 Speaker 1: alone with you, and you're talking about the age at 315 00:19:21,520 --> 00:19:24,120 Speaker 1: which you're willing to have a sexual relationship and your 316 00:19:24,200 --> 00:19:27,560 Speaker 1: need for a sexual like short of drawing a map 317 00:19:27,720 --> 00:19:30,000 Speaker 1: or like producing some kind of a contract with his 318 00:19:30,119 --> 00:19:33,840 Speaker 1: expectations at her expectation, Like this is pretty clear. It's 319 00:19:34,000 --> 00:19:37,480 Speaker 1: entirely credible. All these women who have come forward, these 320 00:19:37,520 --> 00:19:39,480 Speaker 1: are credible allegations. You know, we could go back to 321 00:19:39,520 --> 00:19:43,000 Speaker 1: the Kavanaugh era, remember, and they kept saying credible allegations 322 00:19:43,040 --> 00:19:47,959 Speaker 1: ends Kavanaugh, and I was completely losing my mind over this. 323 00:19:48,160 --> 00:19:51,639 Speaker 1: I mean I was, I was furious. I mean, this 324 00:19:51,680 --> 00:19:53,600 Speaker 1: is what I said. A lot of us became wartime 325 00:19:53,640 --> 00:19:58,639 Speaker 1: conservatives during Kavanaugh because we saw that there was honestly 326 00:19:58,840 --> 00:20:02,119 Speaker 1: no there there was no floor, there was no basement 327 00:20:02,840 --> 00:20:07,280 Speaker 1: of moral depravity. The Democrats, including Kamala Harris by the way, 328 00:20:07,400 --> 00:20:09,760 Speaker 1: leading the charge there in the Senate, don't ever forget 329 00:20:09,800 --> 00:20:12,960 Speaker 1: that that there was no low. The Democrats would not 330 00:20:13,000 --> 00:20:16,560 Speaker 1: god to destroy somebody for politics, that they would lie 331 00:20:17,800 --> 00:20:23,560 Speaker 1: just in the most it was just the most mendacious, disgusting, idiotic, 332 00:20:23,760 --> 00:20:28,400 Speaker 1: obviously untrue garbage about Brett Cavanaugh. It was, and any 333 00:20:28,440 --> 00:20:30,480 Speaker 1: person who doesn't see that, it's just not very smart. 334 00:20:31,440 --> 00:20:33,520 Speaker 1: It's not possible to look at all the not possible 335 00:20:33,520 --> 00:20:36,000 Speaker 1: to look at the three accusers, including the third accuser 336 00:20:36,280 --> 00:20:38,720 Speaker 1: who's like giggling and talking about gang rape that she 337 00:20:38,800 --> 00:20:40,879 Speaker 1: saw when she came back from college. I mean, the 338 00:20:40,920 --> 00:20:43,560 Speaker 1: whole the whole thing or Julie Sweatnick was her name, 339 00:20:43,640 --> 00:20:49,720 Speaker 1: The whole thing was so absurd. Avanti Avanati is It 340 00:20:49,760 --> 00:20:52,320 Speaker 1: isn't amazing to see. He was the hero of CNN 341 00:20:52,359 --> 00:20:56,240 Speaker 1: at the time. Don't you see a pattern here? When 342 00:20:56,280 --> 00:20:58,919 Speaker 1: you were useful against Trump, if you were a weapon 343 00:20:58,960 --> 00:21:03,399 Speaker 1: against Donald Trump, you were given this this cloak of 344 00:21:03,520 --> 00:21:07,160 Speaker 1: invincibility and the elevation. You were treated like a conquering hero. 345 00:21:07,320 --> 00:21:10,399 Speaker 1: It didn't matter how disgusting you were. Michael Avanati is 346 00:21:10,440 --> 00:21:15,040 Speaker 1: the ultimate slimy lawyer. He makes Michael Cohen Trump's good 347 00:21:15,040 --> 00:21:18,520 Speaker 1: friend for a while, unfortunately makes Michael Cohen look like 348 00:21:18,560 --> 00:21:24,679 Speaker 1: an ethical council. Avanati was stealing millions from a paralyzed client. 349 00:21:25,040 --> 00:21:28,919 Speaker 1: That guy was on TV. He was on CNN I 350 00:21:28,960 --> 00:21:30,960 Speaker 1: think more than any other guest over a period of 351 00:21:30,960 --> 00:21:33,639 Speaker 1: two months. It was as though he was he was 352 00:21:33,720 --> 00:21:36,800 Speaker 1: paid to anchor a show. He was on all the time, 353 00:21:37,720 --> 00:21:42,040 Speaker 1: and he went forward with obvious lies about Brett Kavanaugh. 354 00:21:43,080 --> 00:21:45,560 Speaker 1: But I digress. You know that that whole thing gets 355 00:21:45,600 --> 00:21:47,720 Speaker 1: me so fired up, and I'll never forget. I had people, 356 00:21:48,680 --> 00:21:51,000 Speaker 1: I had a CNN anchor reach out to me directly 357 00:21:51,920 --> 00:21:56,440 Speaker 1: and say, you've got to stop what you're saying about Kavanaugh. 358 00:21:56,640 --> 00:21:59,320 Speaker 1: You're going to destroy your career, and people on our 359 00:21:59,359 --> 00:22:01,720 Speaker 1: side who think you're smart but don't agree with you 360 00:22:01,760 --> 00:22:05,679 Speaker 1: will never take you seriously again. And I restrained myself 361 00:22:05,720 --> 00:22:10,520 Speaker 1: from actually writing, you know, go fauci yourself, but I 362 00:22:10,640 --> 00:22:15,159 Speaker 1: thought about it. I did tell them to, you know, leave, like, 363 00:22:15,240 --> 00:22:17,000 Speaker 1: don't ever reach out to me again, and you're out 364 00:22:17,000 --> 00:22:18,719 Speaker 1: of your mind. I think something like that was what 365 00:22:18,760 --> 00:22:21,400 Speaker 1: I wrote. And yeah, we have not had any context since, 366 00:22:22,520 --> 00:22:25,760 Speaker 1: but that's that was the mentality. It was all hands 367 00:22:25,760 --> 00:22:28,440 Speaker 1: on deck to destroy an innocent man because it was necessary. 368 00:22:28,560 --> 00:22:30,920 Speaker 1: They thought that was moral. You see, that's the problem 369 00:22:30,920 --> 00:22:34,440 Speaker 1: with the left. They believe that morality is entirely situational 370 00:22:34,480 --> 00:22:37,040 Speaker 1: and that there's no universal truth, there's no natural law. 371 00:22:37,119 --> 00:22:40,160 Speaker 1: It's just whatever they need when they need it. That's 372 00:22:40,160 --> 00:22:43,040 Speaker 1: a central principle of the left. That's if they have 373 00:22:43,119 --> 00:22:45,119 Speaker 1: a principle, the principle is there's no such thing as 374 00:22:45,119 --> 00:22:50,600 Speaker 1: a principle. But they kept saying, I'll bring this back 375 00:22:50,640 --> 00:22:54,960 Speaker 1: to Quomaa. They kept talking about the need or that 376 00:22:55,359 --> 00:22:59,520 Speaker 1: kept talking about the credibility of the allegations against Kavanaugh, 377 00:23:00,359 --> 00:23:03,160 Speaker 1: and they figured if they repeated it enough, well keeps 378 00:23:03,160 --> 00:23:06,400 Speaker 1: getting called credible, it must be. It would be difficult 379 00:23:06,400 --> 00:23:09,159 Speaker 1: to come up with a less credible allegation than the 380 00:23:09,200 --> 00:23:15,800 Speaker 1: one that. Yes, even you know the professor who leveled 381 00:23:15,880 --> 00:23:21,920 Speaker 1: or you know the psychologist who leveled against Kavanaugh, she 382 00:23:22,680 --> 00:23:29,439 Speaker 1: couldn't prove She couldn't prove that she ever even met him, 383 00:23:29,520 --> 00:23:33,360 Speaker 1: Christine Blasi Ford couldn't prove that she even ever met him, 384 00:23:34,600 --> 00:23:38,560 Speaker 1: had no details, no corroboration, no nothing, and had lied 385 00:23:38,600 --> 00:23:40,640 Speaker 1: about things like she was afraid to fly unless she's 386 00:23:40,680 --> 00:23:42,679 Speaker 1: going to Cabo, then flying as fine, right? I mean, 387 00:23:43,000 --> 00:23:45,160 Speaker 1: the whole thing was such a scam, such a fraud. 388 00:23:46,440 --> 00:23:49,800 Speaker 1: If that's a credible allegation, me saying that I assassinated 389 00:23:49,840 --> 00:23:54,040 Speaker 1: Abraham Lincoln's a credible allegation. I'm sorry, do you can 390 00:23:54,080 --> 00:23:57,320 Speaker 1: you prove that I don't have a time machine? Do 391 00:23:57,400 --> 00:24:00,240 Speaker 1: you know that for a fact? You don't know me? 392 00:24:00,440 --> 00:24:03,680 Speaker 1: I might have a time machine. You don't know, right, 393 00:24:03,960 --> 00:24:07,000 Speaker 1: that's the level of credibility we're talking about. With the 394 00:24:07,040 --> 00:24:15,400 Speaker 1: allegations against Cavanaugh, absurdity. But these allegations against Cuomo, everything 395 00:24:15,440 --> 00:24:19,720 Speaker 1: lines up, everything is exactly. There's a pattern, the same 396 00:24:19,840 --> 00:24:22,879 Speaker 1: kind of pattern everyone knows, and there were whispers about 397 00:24:22,880 --> 00:24:26,399 Speaker 1: it before too. Word always gets out a little bit 398 00:24:26,400 --> 00:24:29,560 Speaker 1: about these things, right, word always comes out, and nobody 399 00:24:29,640 --> 00:24:33,080 Speaker 1: was really surprised by this. That's what's so amazing. The 400 00:24:33,240 --> 00:24:37,400 Speaker 1: Democrats protected him as long as they could. They propped 401 00:24:37,400 --> 00:24:40,840 Speaker 1: this jerk up as long as it was feasible for them, 402 00:24:40,880 --> 00:24:44,560 Speaker 1: and as long as it was advantageous. That's the big difference. 403 00:24:44,560 --> 00:24:47,280 Speaker 1: As long as it was an advantage for them, they 404 00:24:47,280 --> 00:24:53,399 Speaker 1: propped this guy up. And here we are, here we are. 405 00:24:54,040 --> 00:24:56,639 Speaker 1: I gotta tell you, the fact that he's not going 406 00:24:56,680 --> 00:24:59,200 Speaker 1: to resign is so troubling. But also in another sense, 407 00:25:00,080 --> 00:25:04,960 Speaker 1: he's an excellent reminder of how of how corrupt Democrats 408 00:25:05,000 --> 00:25:07,120 Speaker 1: are with all of these things, and how two faced 409 00:25:07,119 --> 00:25:08,960 Speaker 1: they are, and how it's all just about power for them. 410 00:25:09,560 --> 00:25:11,880 Speaker 1: You know, meet me two things, right, I mean, first 411 00:25:11,880 --> 00:25:14,800 Speaker 1: of all, let's not forget Joe Biden was credibly accused 412 00:25:14,840 --> 00:25:17,479 Speaker 1: of sexual assault by a woman who knew him, who 413 00:25:17,480 --> 00:25:21,600 Speaker 1: worked with him, who was around him. You know, remember 414 00:25:21,640 --> 00:25:24,560 Speaker 1: when it was what does she have to gain accusing 415 00:25:24,600 --> 00:25:27,080 Speaker 1: a Democrat who's going to be president of sexual assault? 416 00:25:27,480 --> 00:25:29,360 Speaker 1: You really have got nothing to gain because your life 417 00:25:29,400 --> 00:25:31,400 Speaker 1: is going to be ruined. You'd never even hear about 418 00:25:31,440 --> 00:25:36,359 Speaker 1: that anymore. Do creepy Joe sniffing women's heads, grabbing them, 419 00:25:36,400 --> 00:25:40,000 Speaker 1: touching them, saying weird city. I have never met a 420 00:25:40,080 --> 00:25:43,880 Speaker 1: stranger and held her head from behind and kissed her 421 00:25:43,920 --> 00:25:47,040 Speaker 1: head and sniffed her hair. That is a weird old move. 422 00:25:47,359 --> 00:25:49,880 Speaker 1: Joe Biden did that. That's a matter of record. That's 423 00:25:49,880 --> 00:25:52,760 Speaker 1: not that's not even an alligation. He apologized for that, 424 00:25:53,280 --> 00:25:56,640 Speaker 1: but not not an issue to say nothing about Joe Biden. 425 00:25:56,640 --> 00:25:59,240 Speaker 1: It doesn't matter. See. One of the things about Trump 426 00:25:59,320 --> 00:26:01,919 Speaker 1: was that he was blowing out into the open the 427 00:26:01,960 --> 00:26:03,719 Speaker 1: truth that we had known about the Democrats for so long. 428 00:26:03,760 --> 00:26:04,960 Speaker 1: When he would say things like, you know, I could 429 00:26:04,960 --> 00:26:07,160 Speaker 1: shoot somebody on Fifth Avenue, and you know, my supporters 430 00:26:07,200 --> 00:26:09,320 Speaker 1: would stay with me, and the Democrats all lost their 431 00:26:09,320 --> 00:26:11,760 Speaker 1: minds about that. A lot of Trump supporters said, look, 432 00:26:11,760 --> 00:26:14,560 Speaker 1: he's obviously exaggerating a little bit, or he's you know, 433 00:26:14,600 --> 00:26:18,240 Speaker 1: he's trying to make a point. It's hyperbole, but that 434 00:26:18,280 --> 00:26:21,640 Speaker 1: has always been true about Democrats, Bill Clinton, going down 435 00:26:21,680 --> 00:26:24,280 Speaker 1: the whole list. It's always been true that they can 436 00:26:24,320 --> 00:26:26,399 Speaker 1: do whatever they want as long as they're useful for 437 00:26:26,400 --> 00:26:30,240 Speaker 1: the power of the people on the Democrat side. And 438 00:26:30,359 --> 00:26:32,199 Speaker 1: the same thing as very much true or Cuomo. We're 439 00:26:32,200 --> 00:26:37,320 Speaker 1: seeing this play out in real time. Very I was 440 00:26:37,320 --> 00:26:40,080 Speaker 1: gonna say, it's discouraging, that's not even really true. This 441 00:26:40,160 --> 00:26:42,840 Speaker 1: is who the Democrats are. There's no surprise here. None 442 00:26:42,840 --> 00:26:44,640 Speaker 1: of you are sitting around saying, wait a second, they're 443 00:26:44,640 --> 00:26:49,480 Speaker 1: really unethical. They'll lie about Kavanaugh, and then they'll defend Kavanaugh, 444 00:26:49,480 --> 00:26:52,160 Speaker 1: who's clearly innocent, and then and then defend Cuomo until 445 00:26:52,520 --> 00:26:54,600 Speaker 1: they can't. They just they couldn't hold it back anymore. 446 00:26:54,720 --> 00:26:57,879 Speaker 1: It's like Harvey Weinstein. Weinstein was a big friend of 447 00:26:57,880 --> 00:27:00,680 Speaker 1: the Obama's. He was a big donor to the Democrats, 448 00:27:00,720 --> 00:27:02,960 Speaker 1: you know, you see, and then eventually they're like, oh, 449 00:27:03,040 --> 00:27:05,920 Speaker 1: there's too many allegations, too much stuff comes out. So 450 00:27:05,960 --> 00:27:08,440 Speaker 1: then they you know, like like an old horse getting 451 00:27:08,440 --> 00:27:11,480 Speaker 1: sent to the glue factory. That's what they do with Weinstein, 452 00:27:11,520 --> 00:27:14,439 Speaker 1: with Cuomo, you know, Sorry, you're more useful now for 453 00:27:14,560 --> 00:27:17,000 Speaker 1: us to do some virtue signaling and pretend like we're 454 00:27:17,040 --> 00:27:20,400 Speaker 1: an honest press. They don't take these people down when 455 00:27:20,400 --> 00:27:23,199 Speaker 1: it matters. They don't take them down when they're actually 456 00:27:24,080 --> 00:27:27,480 Speaker 1: going to politically lose as a result of it. Get 457 00:27:27,520 --> 00:27:31,000 Speaker 1: on the whole list. Everybody knew Charlie Rose with the 458 00:27:31,440 --> 00:27:33,960 Speaker 1: crusty claw. I love that law, and that was a 459 00:27:34,520 --> 00:27:40,560 Speaker 1: crusty claw, Matie. You know Charlie Rose was grabbing. I 460 00:27:40,800 --> 00:27:45,600 Speaker 1: heard about Charlie Rose being an old creepster. I mean 461 00:27:45,960 --> 00:27:49,520 Speaker 1: like twenty years ago when I was working at CBSC. 462 00:27:49,600 --> 00:27:51,399 Speaker 1: If you news, everyone's always known that guy was an 463 00:27:51,400 --> 00:27:54,080 Speaker 1: old creepster. You can own this list, all all these 464 00:27:54,080 --> 00:27:57,840 Speaker 1: prominent democrats that it took so long, and then finally 465 00:27:57,840 --> 00:28:00,480 Speaker 1: and then they want applause because the media fin covers 466 00:28:00,480 --> 00:28:03,320 Speaker 1: the story. No, when they were powerful, when they were 467 00:28:04,040 --> 00:28:06,440 Speaker 1: necessary to carry the message for the left, they were 468 00:28:06,480 --> 00:28:08,760 Speaker 1: protecting the same things. True a cuomo here, But you 469 00:28:08,880 --> 00:28:12,760 Speaker 1: listen to these young women. Look, we also all know. 470 00:28:12,880 --> 00:28:15,560 Speaker 1: We sit there and you see these women talking about this, 471 00:28:15,600 --> 00:28:18,720 Speaker 1: and you go, yeah, they're telling the truth. You know, 472 00:28:18,840 --> 00:28:21,639 Speaker 1: we can actually make these guys sometimes you don't know 473 00:28:21,880 --> 00:28:24,359 Speaker 1: sometimes it's kind of hard. Sometimes it feels like he said, 474 00:28:24,400 --> 00:28:26,600 Speaker 1: she said, no, this is she said, and she's telling 475 00:28:26,640 --> 00:28:29,000 Speaker 1: the truth. And she said, and she said, because they're 476 00:28:29,040 --> 00:28:32,040 Speaker 1: a handful of them, they're telling the truth. Do the 477 00:28:32,040 --> 00:28:35,720 Speaker 1: Democrats really care? What's fascinated, of course, is they actually 478 00:28:35,720 --> 00:28:39,960 Speaker 1: do care about the sexual harassment more than they do 479 00:28:40,840 --> 00:28:44,480 Speaker 1: the order to send seniors into nursing homes, which undoubtedly 480 00:28:44,560 --> 00:28:46,360 Speaker 1: put more of them at risk and killed more seniors 481 00:28:46,360 --> 00:28:53,240 Speaker 1: than would have otherwise died. They care more about uncouth 482 00:28:53,320 --> 00:28:56,000 Speaker 1: inappropriate comments said to women. He didn't, you know, he 483 00:28:56,000 --> 00:28:58,560 Speaker 1: didn't sexually assault anybody. I mean, there are there are 484 00:28:58,600 --> 00:29:01,680 Speaker 1: some things Cuomo did not do, but I mean, he 485 00:29:01,720 --> 00:29:05,040 Speaker 1: clearly likes young women and tries to use his power 486 00:29:05,120 --> 00:29:08,400 Speaker 1: as a means of getting them into bed with him. 487 00:29:08,440 --> 00:29:10,560 Speaker 1: And now it's come out, and that is what the 488 00:29:10,640 --> 00:29:15,920 Speaker 1: media is hoisting them up and destroying him over. That's 489 00:29:15,920 --> 00:29:19,440 Speaker 1: what they're hoisting him up over. Not there's the seniors 490 00:29:19,440 --> 00:29:21,640 Speaker 1: in the nursing homes, because that goes after much more 491 00:29:22,000 --> 00:29:25,160 Speaker 1: than just one man being a lecherous old fool. That 492 00:29:25,280 --> 00:29:28,600 Speaker 1: goes to something else, goes to the way the media 493 00:29:29,120 --> 00:29:33,160 Speaker 1: lied about COVID in so many ways to defeat Donald 494 00:29:33,160 --> 00:29:36,080 Speaker 1: Trump in twenty twenty. The only way I know how 495 00:29:36,080 --> 00:29:38,960 Speaker 1: to improve it is with a shredder. It's not even 496 00:29:39,400 --> 00:29:44,200 Speaker 1: a coronavirus bill. Calming this a coronavirus bill is like 497 00:29:44,400 --> 00:29:51,880 Speaker 1: calling Harvey Weinstein a feminist. It's chock full of spending porn, 498 00:29:52,200 --> 00:29:56,560 Speaker 1: billions of dollars to states and local governments that have 499 00:29:57,000 --> 00:30:00,840 Speaker 1: seen the revenues go up, billions of dollars defend programs, 500 00:30:01,360 --> 00:30:04,960 Speaker 1: billions of dollars to schools with no requirements that they open. 501 00:30:07,160 --> 00:30:10,560 Speaker 1: It's it's a it's an orgy of pork, an orgy 502 00:30:10,640 --> 00:30:16,200 Speaker 1: of pork, the Senator, Senator Kennedy says here, it's like 503 00:30:16,280 --> 00:30:20,400 Speaker 1: calling Harvey Weinstein a feminist, Kennedy. Kennedy's definitely writing out 504 00:30:20,440 --> 00:30:23,880 Speaker 1: his lines beforehand, that's for sure. I don't also thought 505 00:30:23,960 --> 00:30:26,080 Speaker 1: I was reminded of this because I mentioned Harvey Weinstein 506 00:30:26,120 --> 00:30:29,520 Speaker 1: before in the context of incredibly powerful, wealthy, influential democrats 507 00:30:29,520 --> 00:30:31,840 Speaker 1: who they cover for as long as they can, and 508 00:30:31,880 --> 00:30:34,040 Speaker 1: then they want applause when the person is no longer 509 00:30:34,120 --> 00:30:36,720 Speaker 1: useful to their cause and they, you know, throw them 510 00:30:36,720 --> 00:30:41,400 Speaker 1: to the wolves. This coronavirus bill, that is I mean, 511 00:30:41,400 --> 00:30:44,120 Speaker 1: it's not a COVID bill, it's just a Democrat spending bill. 512 00:30:44,160 --> 00:30:46,720 Speaker 1: And we should come up with a better name for 513 00:30:47,000 --> 00:30:50,080 Speaker 1: one thing, that one thing. We're Republicans, I think continuous 514 00:30:50,480 --> 00:30:54,240 Speaker 1: continue to fall down on or or a major shortcoming 515 00:30:54,280 --> 00:30:57,600 Speaker 1: they have is we need catchy phrases for things too. 516 00:30:58,160 --> 00:31:01,120 Speaker 1: This is politics. We need short hand we need slogans, 517 00:31:01,840 --> 00:31:04,400 Speaker 1: you know, we need better ways of referring to some 518 00:31:04,440 --> 00:31:06,800 Speaker 1: of these things, because the second you call this a 519 00:31:06,840 --> 00:31:10,680 Speaker 1: COVID relief bill, you're basically playing their game. The moment 520 00:31:10,720 --> 00:31:14,560 Speaker 1: you concede with that word, that one point nine trillion 521 00:31:14,600 --> 00:31:18,360 Speaker 1: dollars sounds like it's going toward helping people who have 522 00:31:18,400 --> 00:31:21,360 Speaker 1: been so affected by COVID. But nine percent of the 523 00:31:21,360 --> 00:31:25,560 Speaker 1: actual bill does so. Nine percent. I mean, if it 524 00:31:25,640 --> 00:31:28,040 Speaker 1: were like sixty or seventy percent, I'd say, oh, you know, 525 00:31:28,120 --> 00:31:30,840 Speaker 1: it's politics. They're gonna put some other stuff in there. 526 00:31:31,080 --> 00:31:34,680 Speaker 1: It's basically all not COVID stuff. In fact, there's a 527 00:31:34,720 --> 00:31:38,640 Speaker 1: whole there's there's provisions about, you know, additional spending for education, 528 00:31:39,160 --> 00:31:41,160 Speaker 1: and most of it doesn't even happen next year. It's 529 00:31:41,200 --> 00:31:43,520 Speaker 1: built in, it's layered in over years and years, tens 530 00:31:43,520 --> 00:31:46,880 Speaker 1: of billions of dollars. Oh, you mean the teachers unions 531 00:31:46,920 --> 00:31:49,760 Speaker 1: want their payoffs and they want their prerogatives, and it 532 00:31:49,800 --> 00:31:53,960 Speaker 1: really has nothing to do with their safety. They're so scared. Yeah, 533 00:31:54,040 --> 00:31:59,800 Speaker 1: that's what I thought. Not a surprise, the pretense of 534 00:32:00,120 --> 00:32:04,680 Speaker 1: Biden administration and of a Democrat majority Congress acting and 535 00:32:04,720 --> 00:32:08,520 Speaker 1: even the most the most basic bipartisan fashion. I mean, 536 00:32:08,600 --> 00:32:11,480 Speaker 1: that didn't last a day, did it. And Biden came 537 00:32:11,480 --> 00:32:14,040 Speaker 1: into office in his attitude, or I should say the 538 00:32:14,080 --> 00:32:16,440 Speaker 1: handlers around him and the special interests and the people 539 00:32:16,440 --> 00:32:18,959 Speaker 1: that are telling him what to do. The attitude was 540 00:32:19,320 --> 00:32:23,920 Speaker 1: we won, you lost, Go jump in a lake, you know, 541 00:32:24,200 --> 00:32:29,520 Speaker 1: go blankety blanking blank your blank And we've seen nothing 542 00:32:29,560 --> 00:32:32,880 Speaker 1: but that since then. And this is I think in 543 00:32:33,000 --> 00:32:37,600 Speaker 1: part of a hangover of the way that Donald Trump 544 00:32:37,760 --> 00:32:42,320 Speaker 1: psychologically broke the Left and they haven't put themselves back together. 545 00:32:42,400 --> 00:32:44,440 Speaker 1: I mean, you know, Humpty Dumpy, all the King's horses 546 00:32:44,480 --> 00:32:49,000 Speaker 1: and men can't put the Democrats fragile emotions back together again. 547 00:32:49,040 --> 00:32:52,480 Speaker 1: I mean, they're having a tough time here because Donald 548 00:32:52,520 --> 00:32:55,440 Speaker 1: Trump came into office and made fun of them for 549 00:32:55,440 --> 00:32:58,160 Speaker 1: four years for being a bunch of shrill lib lunatics, 550 00:32:58,760 --> 00:33:03,120 Speaker 1: and now they want paid against against everybody else. There's 551 00:33:03,160 --> 00:33:05,640 Speaker 1: real anger out there. But you know, Ted Cruz notices 552 00:33:05,720 --> 00:33:09,719 Speaker 1: that they're not even pretending to be reaching the other side. 553 00:33:10,080 --> 00:33:12,480 Speaker 1: And you look at the way that Republicans passed real 554 00:33:12,560 --> 00:33:17,280 Speaker 1: COVID bills with Democrat votes last year. It's actually possible, folks, 555 00:33:17,720 --> 00:33:21,040 Speaker 1: that's not some theoretical Democrats are going to put pass 556 00:33:21,080 --> 00:33:23,240 Speaker 1: this probably without a single Republican vote in the Senate. 557 00:33:23,240 --> 00:33:25,320 Speaker 1: And you know, who knows how the House is going 558 00:33:25,360 --> 00:33:28,480 Speaker 1: to go play ten. We're getting ready to go through 559 00:33:28,720 --> 00:33:32,000 Speaker 1: an unfortunate bit of political theater, and the reason for 560 00:33:32,080 --> 00:33:34,760 Speaker 1: that is that the Democrats have made the decision to 561 00:33:34,840 --> 00:33:37,960 Speaker 1: be hard partisans rather than to work together in a 562 00:33:38,000 --> 00:33:43,520 Speaker 1: bipartisan manner. Last year, Congress passed five separate COVID relief bills. 563 00:33:43,600 --> 00:33:46,320 Speaker 1: Every one of them was bipartisan. So it's not just 564 00:33:46,440 --> 00:33:50,160 Speaker 1: empty words. Republicans here have demonstrated that we are ready 565 00:33:50,160 --> 00:33:52,680 Speaker 1: and willing to roll up our sleeves and work together 566 00:33:52,720 --> 00:33:56,760 Speaker 1: in a bipartisan manner to address COVID, to defeat this pandemic, 567 00:33:56,800 --> 00:33:59,720 Speaker 1: and to get people back to work. Joe Biden Chuck 568 00:33:59,720 --> 00:34:01,680 Speaker 1: Show where Nancy Close he could have done the same, 569 00:34:01,800 --> 00:34:04,120 Speaker 1: but they made a decision instead. This is not a 570 00:34:04,160 --> 00:34:08,520 Speaker 1: COVID bill. Nine percent of this bill focuses on COVID. 571 00:34:08,520 --> 00:34:14,040 Speaker 1: Health spending is a partisan wish list, paying off the 572 00:34:14,120 --> 00:34:18,480 Speaker 1: Democratic special interests that brought them elect And it's cynical. 573 00:34:18,560 --> 00:34:22,480 Speaker 1: It's got Chuck Schumer's bridge to Canada. The last I checked, 574 00:34:22,520 --> 00:34:24,880 Speaker 1: A bridge to Canada is not going to defeat COVID. 575 00:34:25,719 --> 00:34:29,120 Speaker 1: It is not. Sorry Canada, That's not the way it's 576 00:34:29,120 --> 00:34:32,360 Speaker 1: going to work. But Republicans did buy partisan things to 577 00:34:32,400 --> 00:34:36,600 Speaker 1: help the country during COVID. Democrats won't do that now. Why, 578 00:34:37,360 --> 00:34:40,920 Speaker 1: what we are doing is building the capacity to address 579 00:34:40,960 --> 00:34:43,759 Speaker 1: the needs of those children, and we are guided by 580 00:34:45,000 --> 00:34:48,000 Speaker 1: some core principles. Number one, we act in the best 581 00:34:48,040 --> 00:34:50,239 Speaker 1: interests of the children, and we act in the best 582 00:34:50,280 --> 00:34:53,680 Speaker 1: interests of the American people. And thirdly, we adhere to 583 00:34:53,719 --> 00:34:57,320 Speaker 1: our values and principles as a country. And so in fact, 584 00:34:57,320 --> 00:35:02,719 Speaker 1: the numbers are significant. Allan is significant. Yeah, And our 585 00:35:02,760 --> 00:35:06,200 Speaker 1: plans are well underway as we build the capacity to 586 00:35:06,280 --> 00:35:09,960 Speaker 1: address the needs of the children, and we are rebuilding 587 00:35:10,000 --> 00:35:13,760 Speaker 1: from scratch. Oh, it's all about the children. What's Buck's 588 00:35:13,880 --> 00:35:18,239 Speaker 1: law of politics for Democrats. The moment they tell you 589 00:35:18,280 --> 00:35:21,640 Speaker 1: it's about the children, you're being lied to. Okay, just 590 00:35:22,040 --> 00:35:24,839 Speaker 1: remember that it's always true. The moment they say it's 591 00:35:24,840 --> 00:35:28,239 Speaker 1: for the children, the moment Nancy Pelosi comes out, you know, 592 00:35:28,280 --> 00:35:31,200 Speaker 1: with her Chanelle scarf loosely draped around her mouth because 593 00:35:31,239 --> 00:35:37,000 Speaker 1: she cares so much about COVID and goes the children. Indeed, Yeah, 594 00:35:37,040 --> 00:35:41,440 Speaker 1: we're gonna get them the things that they need. Yeah, 595 00:35:41,480 --> 00:35:44,640 Speaker 1: that's because they've got something else going on. Why do 596 00:35:44,719 --> 00:35:47,600 Speaker 1: we have a what is he saying now, DHS Secretary 597 00:35:47,600 --> 00:35:51,000 Speaker 1: of may orcas a significant challenge at the border. Why 598 00:35:51,040 --> 00:35:55,040 Speaker 1: do we have this because of the Biden administration. That's 599 00:35:55,080 --> 00:35:57,400 Speaker 1: why we have a huge spike in people coming to 600 00:35:57,400 --> 00:36:02,600 Speaker 1: the border. They are literally wearing Biden T shirts. Okay, 601 00:36:02,680 --> 00:36:06,560 Speaker 1: can we make this anymore clear? Illegal immigrants are showing 602 00:36:06,640 --> 00:36:09,879 Speaker 1: up and wearing T shirts that say Biden, let us 603 00:36:09,920 --> 00:36:12,759 Speaker 1: in at the border. I think we know why they're 604 00:36:12,760 --> 00:36:17,760 Speaker 1: showing up. And Democrats are already I mean House Democrats 605 00:36:17,760 --> 00:36:21,520 Speaker 1: are already pushing bills, trying to get bills ready to 606 00:36:21,560 --> 00:36:25,200 Speaker 1: go for mass amnesty. I said, I've said this all along. 607 00:36:25,920 --> 00:36:29,200 Speaker 1: You know, policy, I'm good at predicting elections. I don't 608 00:36:29,239 --> 00:36:31,520 Speaker 1: think anybody can really predict elections, but policy I can 609 00:36:31,560 --> 00:36:34,799 Speaker 1: usually see coming. But we're going to have to have 610 00:36:34,840 --> 00:36:37,200 Speaker 1: a whole reckoning here as a country about what's going 611 00:36:37,239 --> 00:36:41,160 Speaker 1: on with our immigration policy right now, because this is 612 00:36:41,200 --> 00:36:44,400 Speaker 1: about to be the central fight. And really what you're 613 00:36:44,440 --> 00:36:46,239 Speaker 1: going to start to you're gonna start to see is 614 00:36:46,280 --> 00:36:50,280 Speaker 1: that they want open borders because sovereignty is for suckers. 615 00:36:51,480 --> 00:36:55,520 Speaker 1: Sovereignty a nation that can control its borders that requires effort. 616 00:36:55,800 --> 00:36:58,759 Speaker 1: You know, it's much better create incentives for people to come, 617 00:36:59,280 --> 00:37:02,240 Speaker 1: and give even more incentives when they stay to vote 618 00:37:02,280 --> 00:37:06,480 Speaker 1: for one political party, and you effectively create and a 619 00:37:06,600 --> 00:37:09,560 Speaker 1: voter base of anybody from anywhere around the world who 620 00:37:09,560 --> 00:37:13,080 Speaker 1: feels like coming to America and availing themselves of all 621 00:37:13,080 --> 00:37:17,160 Speaker 1: of the benefits of being here illegally. Right, we're supposed 622 00:37:17,160 --> 00:37:19,040 Speaker 1: to have a process for all of this. I mean, 623 00:37:19,120 --> 00:37:21,000 Speaker 1: as Milton Friedman said, it is one thing to have 624 00:37:21,760 --> 00:37:24,759 Speaker 1: free immigration to jobs. It's another thing to have free 625 00:37:24,800 --> 00:37:29,040 Speaker 1: immigration to welfare. And you cannot have both. You can 626 00:37:29,080 --> 00:37:31,680 Speaker 1: have a welfare state or you can have open immigration 627 00:37:31,719 --> 00:37:34,280 Speaker 1: for jobs. You have both, You've got a big problem. 628 00:37:35,320 --> 00:37:36,880 Speaker 1: Do you think we have a bit of a welfare 629 00:37:36,920 --> 00:37:40,640 Speaker 1: state in this country, is it fair to say? But 630 00:37:40,880 --> 00:37:42,640 Speaker 1: this has been a long time in coming. As you know, 631 00:37:42,719 --> 00:37:46,239 Speaker 1: the dominant liberal media narrative on immigration has been a 632 00:37:46,280 --> 00:37:48,960 Speaker 1: series of shifting lies for about the last forty years. 633 00:37:49,480 --> 00:37:52,320 Speaker 1: In the Trump era, the main leftist argument on immigration 634 00:37:53,200 --> 00:37:57,120 Speaker 1: shifted into outright moral blackmail from the left. This is 635 00:37:57,120 --> 00:37:58,920 Speaker 1: what this is how it would always go. You know this, 636 00:37:59,000 --> 00:38:02,000 Speaker 1: if you ever tried to talk to somebody about immigration policy, 637 00:38:02,040 --> 00:38:04,240 Speaker 1: this is how it happens. Do you have a problem 638 00:38:04,280 --> 00:38:08,319 Speaker 1: with a million illegal arrivals from a Central America, You 639 00:38:08,400 --> 00:38:11,120 Speaker 1: must be racist, they say to you. If you ask 640 00:38:11,200 --> 00:38:14,160 Speaker 1: any questions about who will pay for these new illegal 641 00:38:14,239 --> 00:38:16,600 Speaker 1: arrivals in terms of the benefits and welfare, that's a 642 00:38:16,680 --> 00:38:20,120 Speaker 1: racist question to ask. If you wonder how social Security 643 00:38:20,160 --> 00:38:23,040 Speaker 1: and Medicare will remain viable programs when millions of illegal 644 00:38:23,080 --> 00:38:26,040 Speaker 1: aliens will need similar benefits when they reach retirement age, 645 00:38:27,120 --> 00:38:30,400 Speaker 1: it's racist to even consider such things. It's just always 646 00:38:30,400 --> 00:38:33,200 Speaker 1: about how it's always racist and xenophobic. You're not allowed 647 00:38:33,239 --> 00:38:35,000 Speaker 1: to ask any questions based on, oh, I don't know 648 00:38:35,080 --> 00:38:37,000 Speaker 1: the simple math of how are we going to pay 649 00:38:37,040 --> 00:38:38,560 Speaker 1: for this? Who's gonna pay for this? How's this all 650 00:38:38,560 --> 00:38:40,799 Speaker 1: going to go? That's more or less the extent of 651 00:38:40,840 --> 00:38:43,520 Speaker 1: the intellectual discourse you can expect from leftists on the 652 00:38:43,600 --> 00:38:47,440 Speaker 1: issue of illegal immigration, because they much prefer to engage 653 00:38:47,560 --> 00:38:51,080 Speaker 1: in ad hominin attacks against anybody who has a problem 654 00:38:52,680 --> 00:38:55,840 Speaker 1: with open borders. It's so much easier. As you know, 655 00:38:55,880 --> 00:38:57,839 Speaker 1: illegal alien is a term that appears in the federal 656 00:38:57,960 --> 00:39:01,000 Speaker 1: legal Code. Many times left just now say that it 657 00:39:01,080 --> 00:39:03,360 Speaker 1: is hateful, and they're actually in the process of changing this. 658 00:39:03,480 --> 00:39:05,000 Speaker 1: They might have already changed it by the time I 659 00:39:05,040 --> 00:39:07,960 Speaker 1: talk to you. In the federal code, it's hateful to 660 00:39:08,000 --> 00:39:11,279 Speaker 1: say words that are written in federal law when it 661 00:39:11,280 --> 00:39:14,880 Speaker 1: comes to immigration. But they were. They used to insist 662 00:39:14,960 --> 00:39:19,319 Speaker 1: on illegal immigrant, but they disliked the fact that there 663 00:39:19,440 --> 00:39:22,840 Speaker 1: was illegal in there. So if you're gonna call something illegal, 664 00:39:23,120 --> 00:39:25,520 Speaker 1: you're kind of admitting it's against the law. That's a problem. 665 00:39:26,520 --> 00:39:30,480 Speaker 1: So then they moved on to the more orwellian term undocumented, 666 00:39:30,520 --> 00:39:34,840 Speaker 1: which is absurdly vague and inaccurate. They have documents somewhere, 667 00:39:35,040 --> 00:39:37,520 Speaker 1: they're not undocumented. They just don't have documents that say 668 00:39:37,560 --> 00:39:42,400 Speaker 1: you're legally allowed to be in the United States. Calling 669 00:39:42,400 --> 00:39:45,560 Speaker 1: an illegal alien undocumented is like calling a trespasser a 670 00:39:45,680 --> 00:39:50,680 Speaker 1: pre invite guest. Now keep in mind, this phraseology fight 671 00:39:50,920 --> 00:39:54,880 Speaker 1: is coming to us after decades of brainwashing the American 672 00:39:54,920 --> 00:39:59,279 Speaker 1: people with platitudes meant to conflate legal and illegal immigration 673 00:39:59,760 --> 00:40:02,480 Speaker 1: to misleads citizens about the costs of illegals and pretend 674 00:40:02,800 --> 00:40:07,240 Speaker 1: the problem was less massive all along than in reality 675 00:40:07,239 --> 00:40:11,960 Speaker 1: it is. Loaded misleading claims like America is a nation 676 00:40:12,000 --> 00:40:14,840 Speaker 1: of immigrants, and immigrants do the jobs Americans won't do 677 00:40:15,200 --> 00:40:18,840 Speaker 1: have become second nature for many American commentators, in particular 678 00:40:18,960 --> 00:40:22,520 Speaker 1: news anchors policy analysts. They say these things as though 679 00:40:22,520 --> 00:40:26,640 Speaker 1: they are written in the Constitution itself. I mean, CNN 680 00:40:26,680 --> 00:40:29,920 Speaker 1: actually seems to believe that Emma Lazarus's Great Colossus poem 681 00:40:30,000 --> 00:40:32,400 Speaker 1: on the base of the Statue of Liberty is the 682 00:40:32,480 --> 00:40:36,399 Speaker 1: foundation of federal immigration law. You know the poem. For 683 00:40:36,440 --> 00:40:38,360 Speaker 1: anybody who doesn't know this, just so you're clear, the 684 00:40:38,480 --> 00:40:44,040 Speaker 1: poem was for a fundraiser. The plaque is there for tourists. Okay, 685 00:40:44,080 --> 00:40:46,080 Speaker 1: that's where the Great Colossus bone. You know, and give 686 00:40:46,120 --> 00:40:48,600 Speaker 1: me you're tired, you're hungry, or I don't remember all 687 00:40:48,640 --> 00:40:51,239 Speaker 1: the poem, but you get it. Historically, Ellis Island was 688 00:40:51,239 --> 00:40:53,759 Speaker 1: actually a place where immigrants could be rejected on the 689 00:40:53,760 --> 00:40:57,000 Speaker 1: spot after a week's long transatlantic journey. You got about 690 00:40:57,000 --> 00:40:59,359 Speaker 1: two percent of all new immigrants at Ellis Island were 691 00:40:59,760 --> 00:41:04,080 Speaker 1: for medical or mental health reasons, told to go back 692 00:41:04,160 --> 00:41:07,880 Speaker 1: on the boat and go home. So people were turned 693 00:41:07,920 --> 00:41:11,799 Speaker 1: away even at Ellas Island, not a lot, but there 694 00:41:11,840 --> 00:41:15,920 Speaker 1: were people turned away. The life's rewriting of immigration history 695 00:41:16,000 --> 00:41:18,439 Speaker 1: isn't simply an academic matter. It's been used to create 696 00:41:18,520 --> 00:41:22,120 Speaker 1: narratives that support illegal immigration at the expense of rule 697 00:41:22,160 --> 00:41:28,759 Speaker 1: of law and sovereignty. So that's now it's at the 698 00:41:28,800 --> 00:41:31,239 Speaker 1: point where we have to see what's going to come next, 699 00:41:31,239 --> 00:41:34,640 Speaker 1: what's going to happen. We are at the extremes now, 700 00:41:35,120 --> 00:41:36,680 Speaker 1: we are at the phase where we would have to 701 00:41:36,680 --> 00:41:41,120 Speaker 1: think about what becomes of this country when there's another 702 00:41:41,200 --> 00:41:45,759 Speaker 1: mass legalization. Remember we had a mass legalization under Ronald 703 00:41:45,800 --> 00:41:49,160 Speaker 1: Reagan in nineteen eighty six, and they said it would 704 00:41:49,200 --> 00:41:52,120 Speaker 1: only be whatever. It was, a couple million, and then 705 00:41:52,160 --> 00:41:54,239 Speaker 1: there was going to be very secure border and no 706 00:41:54,280 --> 00:41:57,000 Speaker 1: more illegal immigration. We got the amnesty, and then we 707 00:41:57,080 --> 00:42:00,640 Speaker 1: got millions and millions more illegal immigran in the country. 708 00:42:01,000 --> 00:42:03,279 Speaker 1: And you know, if all of this is fine, if 709 00:42:03,320 --> 00:42:06,520 Speaker 1: it means if it is meaningless, as the left now pretends, 710 00:42:06,920 --> 00:42:09,400 Speaker 1: why do we even pretend there's a thing called assimilation? 711 00:42:09,440 --> 00:42:15,080 Speaker 1: Why have immigration laws at all? If immigration, including illegal immigration, 712 00:42:15,200 --> 00:42:18,680 Speaker 1: if illegal immigration is only good, if it is only 713 00:42:18,760 --> 00:42:21,879 Speaker 1: upside And there are some radical libertarian think tank types 714 00:42:21,880 --> 00:42:24,080 Speaker 1: who will always say that right, oh the more, if 715 00:42:24,120 --> 00:42:26,880 Speaker 1: we could take them, if we could take five hundred 716 00:42:26,920 --> 00:42:29,200 Speaker 1: million people from China the United States tomorrow, it would 717 00:42:29,239 --> 00:42:30,880 Speaker 1: make us wealthier, That's what they'll tell you. It'll be 718 00:42:30,880 --> 00:42:34,200 Speaker 1: a better country then, to which I say, Okay, if 719 00:42:34,200 --> 00:42:37,640 Speaker 1: five hundred million Chinese arrived in America tomorrow, which I 720 00:42:37,680 --> 00:42:39,160 Speaker 1: know that's not going to happen, but we're just as 721 00:42:39,160 --> 00:42:42,759 Speaker 1: a thought experiment, would it still be America? It's still 722 00:42:42,760 --> 00:42:46,560 Speaker 1: the same country. Don't we have cultures, norms, more rays, 723 00:42:47,120 --> 00:42:50,839 Speaker 1: shared history, tradition. Doesn't all that come from being here 724 00:42:50,840 --> 00:42:52,880 Speaker 1: and being an American? And that we have an assimilation 725 00:42:52,920 --> 00:42:57,840 Speaker 1: process for people to become American over time. But you know, 726 00:42:57,960 --> 00:43:00,560 Speaker 1: when you show up here illegally and the first day 727 00:43:00,600 --> 00:43:04,520 Speaker 1: you step on us soil, you're not an American. You're 728 00:43:04,560 --> 00:43:07,440 Speaker 1: not by law, and you're not by any other definition. 729 00:43:07,520 --> 00:43:10,560 Speaker 1: So how do we actually view this as a society. 730 00:43:10,600 --> 00:43:12,239 Speaker 1: These are the conversations we have to have. And then, 731 00:43:12,280 --> 00:43:16,960 Speaker 1: of course there's the question of the official count as 732 00:43:17,000 --> 00:43:19,680 Speaker 1: of twenty seventeen. They were saying, and it's just true 733 00:43:19,680 --> 00:43:21,440 Speaker 1: now too. I mean, I just have a twenty seventeen 734 00:43:21,520 --> 00:43:23,920 Speaker 1: number in front of me. But they'll say about eleven 735 00:43:24,000 --> 00:43:27,120 Speaker 1: point seven million illegal illegal aliens in the the United States. 736 00:43:27,840 --> 00:43:31,120 Speaker 1: But that figure is an estimate based on voluntary census data. 737 00:43:31,320 --> 00:43:34,520 Speaker 1: That's right, it's all census data they're using. The real 738 00:43:34,600 --> 00:43:37,080 Speaker 1: number of illegal aliens is probably much much higher. Right. 739 00:43:37,080 --> 00:43:39,560 Speaker 1: There were those math nerds at Yale, and I say 740 00:43:39,560 --> 00:43:42,359 Speaker 1: math nerds with reverence, just a couple of years ago. 741 00:43:42,400 --> 00:43:45,279 Speaker 1: They did a PhD project and they looked at all 742 00:43:45,360 --> 00:43:48,200 Speaker 1: the available data and these are you know, these are 743 00:43:48,320 --> 00:43:52,400 Speaker 1: math whizzes, and they estimated the number of illegal aliens 744 00:43:52,520 --> 00:43:55,480 Speaker 1: was more like twenty million, which is close to double 745 00:43:56,160 --> 00:44:01,479 Speaker 1: the official figure. It's it's pretty remarkable when you see 746 00:44:01,480 --> 00:44:05,280 Speaker 1: that we're told the number has stayed constant, illegal aliens 747 00:44:05,520 --> 00:44:08,360 Speaker 1: has stayed constant for like the last ten or fifteen years. 748 00:44:08,719 --> 00:44:11,520 Speaker 1: Net migration zero. You hear all these things. Meanwhile, when 749 00:44:11,520 --> 00:44:13,520 Speaker 1: I've been down at the border and talk to border patrol. 750 00:44:14,120 --> 00:44:18,160 Speaker 1: Members of border patrol, you know what they say, that's ridiculous. 751 00:44:18,680 --> 00:44:21,960 Speaker 1: We're catching illegals crossing over all the time, and illegals 752 00:44:22,000 --> 00:44:24,440 Speaker 1: aren't in large numbers going back to where they came from, 753 00:44:24,520 --> 00:44:26,600 Speaker 1: especially if they come from Pakistan or China or the 754 00:44:26,640 --> 00:44:30,640 Speaker 1: Philippines or wherever they're not they're not coming, they're not 755 00:44:30,680 --> 00:44:32,480 Speaker 1: going back to their home countries. Once they get here, 756 00:44:32,520 --> 00:44:35,680 Speaker 1: they stay. But we can't even we cannot have an 757 00:44:35,680 --> 00:44:39,040 Speaker 1: honest discussion about immigration in this country. And again see 758 00:44:39,040 --> 00:44:42,160 Speaker 1: even just the notion of immigration. I'm talking about illegal immigration. 759 00:44:42,920 --> 00:44:45,880 Speaker 1: We can't have an honest discussion about it because that 760 00:44:45,920 --> 00:44:48,800 Speaker 1: would mean the left won't get its way quite as easily. 761 00:44:49,200 --> 00:44:52,000 Speaker 1: But do you see how they're ramming through this spending 762 00:44:52,000 --> 00:44:54,160 Speaker 1: bill in the Congress. See how their plans now or 763 00:44:54,200 --> 00:44:57,319 Speaker 1: to just continue doing exactly what they want, doesn't matter 764 00:44:57,320 --> 00:45:01,520 Speaker 1: what the Republicans think. That's the plan for amnesty too, 765 00:45:01,880 --> 00:45:05,520 Speaker 1: That's how they're going to ram through amnesty. They're shameful. 766 00:45:05,760 --> 00:45:09,160 Speaker 1: We know that the Republican Party does not have ideas, 767 00:45:09,520 --> 00:45:11,920 Speaker 1: and so they know if they don't have a policy, 768 00:45:11,960 --> 00:45:15,320 Speaker 1: they can run on and get the ability to convince 769 00:45:15,360 --> 00:45:17,840 Speaker 1: people to vote for them. They're going to limit the 770 00:45:17,880 --> 00:45:20,759 Speaker 1: amount of people that can vote so that they can 771 00:45:20,760 --> 00:45:25,440 Speaker 1: continue to have the ability to get elected. We believe 772 00:45:25,840 --> 00:45:29,360 Speaker 1: that the more people that have the ability to vote 773 00:45:29,719 --> 00:45:34,760 Speaker 1: and participate in our democracy is what makes our democracy work. 774 00:45:35,360 --> 00:45:38,680 Speaker 1: And we're going to continue to fight them on local levels, 775 00:45:39,239 --> 00:45:42,200 Speaker 1: but we're also going to do something federally. And that's 776 00:45:42,239 --> 00:45:44,920 Speaker 1: what we did last night. We passed the People's Act 777 00:45:45,480 --> 00:45:50,520 Speaker 1: HR one, which is our pro democracy legislation that creates 778 00:45:51,080 --> 00:45:56,920 Speaker 1: more accountability and transparent democracy. And this is you know, 779 00:45:56,960 --> 00:46:02,080 Speaker 1: a sweeping legislation that creates a matic voter registration, that 780 00:46:02,160 --> 00:46:08,200 Speaker 1: gets rid of partisan jurymandering, that allows for there to 781 00:46:08,320 --> 00:46:13,360 Speaker 1: be early voting processes, that gets you know, certain interests 782 00:46:14,000 --> 00:46:17,360 Speaker 1: and dirty money out of our politics, and allows for 783 00:46:17,560 --> 00:46:21,120 Speaker 1: more people to believe in our democracy and know that, 784 00:46:21,520 --> 00:46:23,799 Speaker 1: you know, it's supposed to be of the people, for 785 00:46:23,840 --> 00:46:30,040 Speaker 1: the people. HR one, other than amnesty, is the most 786 00:46:30,080 --> 00:46:35,319 Speaker 1: important policy that the Democrats are trying to ram through 787 00:46:35,360 --> 00:46:42,200 Speaker 1: in America right now. Okay, this is enormously consequential, and 788 00:46:42,520 --> 00:46:47,279 Speaker 1: our conservative media is not focused enough on this. You know, 789 00:46:47,360 --> 00:46:51,400 Speaker 1: I really, I really think that conservative media is, you know, 790 00:46:51,520 --> 00:46:55,280 Speaker 1: still a little bit of licking our wounds here after 791 00:46:55,760 --> 00:46:58,040 Speaker 1: what happened in the election. I think people are feeling 792 00:46:58,080 --> 00:46:59,879 Speaker 1: a little bit and I get it, feeling a little 793 00:46:59,880 --> 00:47:02,880 Speaker 1: bit it on their back feet. But we got we 794 00:47:02,920 --> 00:47:05,120 Speaker 1: have no time for that. We gotta mount up, We 795 00:47:05,160 --> 00:47:09,560 Speaker 1: gotta get ready and get serious here. Because Democrats notice, 796 00:47:09,640 --> 00:47:15,120 Speaker 1: right from the get go, left wing ideologue stuff right away, 797 00:47:16,160 --> 00:47:18,640 Speaker 1: not you know, let's take care, let's fix the country 798 00:47:18,719 --> 00:47:20,440 Speaker 1: and make everything a little bit better, and then we 799 00:47:20,480 --> 00:47:22,920 Speaker 1: can then we can get back to fighting over you know, 800 00:47:23,440 --> 00:47:26,920 Speaker 1: magazine bands and firearms and things like that, the usual stuff, 801 00:47:27,000 --> 00:47:30,040 Speaker 1: right the stuff that Democrats will never let go. Can 802 00:47:30,080 --> 00:47:33,839 Speaker 1: we at least get normalcy back in our society? Could 803 00:47:33,960 --> 00:47:36,840 Speaker 1: that be the focus, Get out of COVID, get past COVID. No, 804 00:47:37,239 --> 00:47:41,520 Speaker 1: the focus is to use the crisis for their own 805 00:47:41,600 --> 00:47:44,920 Speaker 1: political benefit right away. And that's where HR one comes in. 806 00:47:46,160 --> 00:47:48,239 Speaker 1: My friends. These are the kind of things that will 807 00:47:48,320 --> 00:47:53,440 Speaker 1: prevent a Republican from winning elections for the next twenty 808 00:47:53,520 --> 00:47:56,720 Speaker 1: years and will change the Republican Party in the process 809 00:47:56,760 --> 00:47:59,920 Speaker 1: as well, to make it even whimpier and less conservative. 810 00:48:00,840 --> 00:48:05,040 Speaker 1: These are structural, long term changes. These are not minor things. 811 00:48:06,440 --> 00:48:08,960 Speaker 1: And the Democrats know with HR I've already been telling 812 00:48:08,960 --> 00:48:14,160 Speaker 1: you about Ambassy. They know with HR one that this 813 00:48:14,920 --> 00:48:20,200 Speaker 1: would be an enormously consequential bill for them. There's so 814 00:48:20,280 --> 00:48:22,360 Speaker 1: much so that you know, you've got just yesterday the 815 00:48:22,360 --> 00:48:26,640 Speaker 1: San Francisco Chronicle writing that the filibuster is a small 816 00:48:26,719 --> 00:48:31,000 Speaker 1: sacrifice for HR one the future of democracy. You're gonna 817 00:48:31,040 --> 00:48:34,120 Speaker 1: know what Democrats really want by where they actually finally 818 00:48:34,200 --> 00:48:37,279 Speaker 1: decide in this fifty fifty senate we've got. When they 819 00:48:37,280 --> 00:48:41,319 Speaker 1: finally decide the filibuster is gone, that's when you know 820 00:48:41,400 --> 00:48:45,080 Speaker 1: they've really they're really going for it, and they may 821 00:48:45,200 --> 00:48:46,880 Speaker 1: do it on h I don't think they will on 822 00:48:47,000 --> 00:48:49,160 Speaker 1: HR one. You know, there's a lot of variables here, 823 00:48:49,200 --> 00:48:52,359 Speaker 1: but they may do it on HR one. And it's 824 00:48:52,400 --> 00:48:57,399 Speaker 1: because here's what House to make it very very straightforward, 825 00:48:57,560 --> 00:49:01,640 Speaker 1: what House Resolution one does is all this stuff the 826 00:49:01,680 --> 00:49:06,720 Speaker 1: Democrats did to outmaneuver the Trump campaign with bad faith 827 00:49:06,840 --> 00:49:10,160 Speaker 1: changes in the COVID year to the way the election 828 00:49:10,239 --> 00:49:13,000 Speaker 1: was going to be held, right, the mass mail in ballots, 829 00:49:13,080 --> 00:49:16,719 Speaker 1: the lack of verification, the change, you know, the expanding 830 00:49:16,840 --> 00:49:20,680 Speaker 1: voting everywhere they could, adding additional days for votes to 831 00:49:20,719 --> 00:49:24,080 Speaker 1: be gathered after election day, all these things they did. 832 00:49:24,320 --> 00:49:29,480 Speaker 1: HR one would make all of that stuff the way 833 00:49:29,800 --> 00:49:36,280 Speaker 1: the law is period right. HR one would would try 834 00:49:36,320 --> 00:49:41,040 Speaker 1: to do everything in its power to make the twenty 835 00:49:41,040 --> 00:49:45,400 Speaker 1: twenty election changes the way that all elections are now. Obviously, 836 00:49:45,440 --> 00:49:48,880 Speaker 1: the states play a large role in this two. But 837 00:49:49,640 --> 00:49:53,640 Speaker 1: I mean, here's what you know. Here's where, for example, 838 00:49:53,680 --> 00:49:58,240 Speaker 1: ballot harvesting comes in, and voter verification and those those 839 00:49:58,360 --> 00:50:03,319 Speaker 1: kinds of important election safeguard. I mean, ballot harvesting is 840 00:50:03,360 --> 00:50:08,040 Speaker 1: just a recipe for disaster. And I also think at 841 00:50:08,080 --> 00:50:10,360 Speaker 1: some point you do need to there needs to be 842 00:50:10,360 --> 00:50:13,160 Speaker 1: a process the same way we have an immigration process 843 00:50:13,200 --> 00:50:17,240 Speaker 1: for a reason. There needs to be a voting process 844 00:50:17,680 --> 00:50:22,759 Speaker 1: for a reason. Here's here's the Wall Street Journal recently 845 00:50:23,080 --> 00:50:25,440 Speaker 1: on this, just a couple of days ago. If you 846 00:50:25,520 --> 00:50:28,520 Speaker 1: thought the twenty twenty election ran like a finely oiled machine, 847 00:50:28,560 --> 00:50:31,600 Speaker 1: you'll love what Democrats plan next. The Senate and House 848 00:50:31,719 --> 00:50:34,759 Speaker 1: reserved their first bills HR one and S one for 849 00:50:34,960 --> 00:50:37,759 Speaker 1: voting changes that would make mail balloting in a play 850 00:50:37,840 --> 00:50:40,960 Speaker 1: gear seem buttoned up. We've gone through some details, but 851 00:50:41,000 --> 00:50:43,440 Speaker 1: it's worth looking. As the House prepares to vote this week. 852 00:50:44,200 --> 00:50:47,560 Speaker 1: Advocates present the legislation as a good government reform that 853 00:50:47,600 --> 00:50:51,200 Speaker 1: won't favor either party, but HR one is packed with 854 00:50:51,280 --> 00:50:56,719 Speaker 1: provisions that would federalize election rules to dubious result, unsettled 855 00:50:56,760 --> 00:51:01,120 Speaker 1: long standing election practices and security measures that local officials 856 00:51:01,120 --> 00:51:05,239 Speaker 1: think prudent, undermine public confidence, and increase the odds of 857 00:51:05,480 --> 00:51:10,799 Speaker 1: contested outcomes. Start with permanent pandemic rules. HR one would 858 00:51:10,800 --> 00:51:14,759 Speaker 1: create a federal right to a mail ballot, no excuse necessary. 859 00:51:15,120 --> 00:51:17,640 Speaker 1: Registered voters couldn't be made to submit any form of 860 00:51:17,680 --> 00:51:22,080 Speaker 1: identification as a condition of obtaining an absentee ballot, except 861 00:51:22,160 --> 00:51:26,319 Speaker 1: a signature or affirmation. State laws requiring mail in votes 862 00:51:26,360 --> 00:51:29,000 Speaker 1: to be notarized or signed by witnesses would be trumped. 863 00:51:29,080 --> 00:51:32,800 Speaker 1: No pun intended. Late arriving ballots, if postmarked on time, 864 00:51:33,000 --> 00:51:37,839 Speaker 1: would be vali nationwide for ten days after election day. 865 00:51:38,880 --> 00:51:43,080 Speaker 1: In other words, the bill would entrench last year's emergency experiment, 866 00:51:43,440 --> 00:51:48,439 Speaker 1: further turning election day into election quarter. HR one would 867 00:51:48,440 --> 00:51:52,400 Speaker 1: give Americans endless opportunities to relive the fund In New 868 00:51:52,480 --> 00:51:55,840 Speaker 1: York's twenty second congressional district, which didn't have a victor 869 00:51:56,120 --> 00:52:00,919 Speaker 1: for ninety seven days out of Pennsylvania's tenth ninety seven 870 00:52:01,000 --> 00:52:04,600 Speaker 1: late arriving ballots last year and alarming six point six 871 00:52:04,680 --> 00:52:08,560 Speaker 1: percent did not have legible postmarks. A state Senate seat 872 00:52:08,600 --> 00:52:11,160 Speaker 1: outside Pittsburgh turned on whether or not to count mail 873 00:52:11,200 --> 00:52:16,000 Speaker 1: ballots that voters neglected. To date, one county tallied them, 874 00:52:16,040 --> 00:52:18,800 Speaker 1: the next county did not. What if the White House 875 00:52:18,840 --> 00:52:26,040 Speaker 1: were in the ballots? Chaos, anarchy, no guardrails, no safeguards. 876 00:52:26,400 --> 00:52:30,279 Speaker 1: That's how Democrats want elections to be always if they 877 00:52:30,280 --> 00:52:32,840 Speaker 1: can get away with it going forward, that's the plan. 878 00:52:33,440 --> 00:52:35,440 Speaker 1: When I travel around the state, there are people who 879 00:52:35,480 --> 00:52:38,160 Speaker 1: just don't wear a mask, and there's no sanction to them, 880 00:52:38,239 --> 00:52:40,120 Speaker 1: even though there was a mandate, or at least it 881 00:52:40,200 --> 00:52:43,120 Speaker 1: is through next Wednesday, but there were no sanctions. People 882 00:52:43,160 --> 00:52:45,239 Speaker 1: made their decisions on their own, and I travel in 883 00:52:45,280 --> 00:52:47,479 Speaker 1: many places where everyone has a mask. We're not saying 884 00:52:47,480 --> 00:52:49,799 Speaker 1: don't do it. In fact that the capital. We're saying, 885 00:52:49,840 --> 00:52:52,480 Speaker 1: we strongly suggest you wear a mask. I wear a 886 00:52:52,520 --> 00:52:55,040 Speaker 1: mask when I'm around people out of respect to them 887 00:52:55,080 --> 00:52:57,919 Speaker 1: if they want me to. We're saying to people still 888 00:52:57,960 --> 00:53:00,719 Speaker 1: social distance, we're just not taking away the freedom and 889 00:53:00,840 --> 00:53:03,360 Speaker 1: liberty and Texas from people that they are doing in 890 00:53:03,440 --> 00:53:06,760 Speaker 1: Democrats states and Joe Biden wants to do. But again, Harris, 891 00:53:06,800 --> 00:53:10,520 Speaker 1: I go back to the President. How dare him attack 892 00:53:10,640 --> 00:53:14,200 Speaker 1: Texas for our policies when he is allowing the border 893 00:53:14,239 --> 00:53:17,360 Speaker 1: to be overrun by people coming in here by the hundreds, 894 00:53:17,480 --> 00:53:21,040 Speaker 1: by the thousands and testing positive and coming on a 895 00:53:21,120 --> 00:53:23,160 Speaker 1: bus to your state wherever you happen to live in 896 00:53:23,160 --> 00:53:27,160 Speaker 1: the United States of America. What a hypocrite. And so 897 00:53:27,239 --> 00:53:30,879 Speaker 1: the Biden administrations allowing the importation of illegal aliens with 898 00:53:30,960 --> 00:53:37,879 Speaker 1: COVID nineteen while they're lecturing everybody about masks and social distancing. Still, 899 00:53:38,360 --> 00:53:41,440 Speaker 1: Texas and Mississippi caught so much heat for this, and 900 00:53:41,480 --> 00:53:44,919 Speaker 1: I've got to say, I feel like Governor Abbott, they 901 00:53:44,960 --> 00:53:46,520 Speaker 1: did a little bit of a walk back here with 902 00:53:46,600 --> 00:53:48,960 Speaker 1: this whole thing. And now when you see what different 903 00:53:48,960 --> 00:53:50,920 Speaker 1: cities are saying in the state of Texas, it's not 904 00:53:51,000 --> 00:53:52,719 Speaker 1: quite as free as it should be. I mean, I 905 00:53:52,800 --> 00:53:55,960 Speaker 1: know we've got a lot of folks listening in KLBJ Austen, 906 00:53:56,360 --> 00:53:58,360 Speaker 1: big audience there. Thank you all so much, by the 907 00:53:58,360 --> 00:53:59,880 Speaker 1: way for being a part of Team Buck in the 908 00:54:00,000 --> 00:54:04,360 Speaker 1: Austin area. Really do appreciate you, guys and gals. But 909 00:54:04,880 --> 00:54:07,239 Speaker 1: I know that if you write in, you're gonna tell 910 00:54:07,280 --> 00:54:10,520 Speaker 1: me we still have, you know, mask mandates and all 911 00:54:10,520 --> 00:54:14,880 Speaker 1: the businesses and restaurants and everything. So Texas, it seemed 912 00:54:14,920 --> 00:54:17,200 Speaker 1: like mostly theatrics that at the state level they no 913 00:54:17,200 --> 00:54:19,600 Speaker 1: longer have a mask mandate. And I do think there's 914 00:54:20,400 --> 00:54:21,960 Speaker 1: there's a fair point to be made. And I talked 915 00:54:21,960 --> 00:54:25,399 Speaker 1: to my friend Jesse Kelly about this yesterday, who's down 916 00:54:25,400 --> 00:54:29,000 Speaker 1: in Houston, that the mask mandate never should have been 917 00:54:29,000 --> 00:54:31,719 Speaker 1: there in the first place at the state level. So 918 00:54:32,480 --> 00:54:35,600 Speaker 1: I'm just I get so excited at the notion of 919 00:54:35,800 --> 00:54:40,040 Speaker 1: the break in the authoritarianism, or at least a crack 920 00:54:40,120 --> 00:54:44,080 Speaker 1: in the authoritarianism. Damn, I get so excited that, you know, 921 00:54:44,239 --> 00:54:48,840 Speaker 1: I'm willing, I'm willing to accept far from perfect policy 922 00:54:49,440 --> 00:54:52,920 Speaker 1: and and don't always focus on how bad things have 923 00:54:53,000 --> 00:54:55,040 Speaker 1: been in some places up to this point. You know, 924 00:54:55,120 --> 00:54:56,880 Speaker 1: I think the leadership in the state of Texas has 925 00:54:56,920 --> 00:54:59,880 Speaker 1: been very disappointing on COVID, and obviously they're looking to 926 00:55:00,000 --> 00:55:06,759 Speaker 1: to get attention away from the awful ice storm situation, 927 00:55:06,840 --> 00:55:09,839 Speaker 1: the power out power outage, and everything else that happened there. 928 00:55:11,120 --> 00:55:14,799 Speaker 1: But you'll notice that the media was immediately jumping all 929 00:55:14,800 --> 00:55:17,240 Speaker 1: over and not just the media, the Biden administration jumping 930 00:55:17,280 --> 00:55:20,799 Speaker 1: all over Texas and Mississippi for you know, they don't 931 00:55:20,800 --> 00:55:23,120 Speaker 1: believe in the science. That's what we were all being told. 932 00:55:23,120 --> 00:55:29,560 Speaker 1: They don't believe in the science. And guess what state 933 00:55:29,719 --> 00:55:33,879 Speaker 1: just also said that they're they're reopening or scaling back, 934 00:55:33,920 --> 00:55:37,720 Speaker 1: going to one hundred percent for businesses and even opening 935 00:55:37,800 --> 00:55:42,040 Speaker 1: sports venues fifty percent outdoors, ten percent indoors for sports 936 00:55:42,080 --> 00:55:47,640 Speaker 1: arenas the state of Connecticut. And I haven't seen anybody 937 00:55:47,800 --> 00:55:53,120 Speaker 1: like Biden calling, you know, Connecticut a Neanderthal state. So 938 00:55:53,760 --> 00:55:57,160 Speaker 1: why why is was it okay to go after Mississippi 939 00:55:57,560 --> 00:55:59,560 Speaker 1: and Texas in that Well, we all know because the 940 00:55:59,760 --> 00:56:03,000 Speaker 1: station in the mind of the parties and of the 941 00:56:03,000 --> 00:56:05,080 Speaker 1: press is that that those are red states. Even though 942 00:56:05,120 --> 00:56:10,160 Speaker 1: Texas is getting uncomfortably close to purple friends, Texas is 943 00:56:10,880 --> 00:56:13,080 Speaker 1: not trending in the right direction. But that's a conversation 944 00:56:13,160 --> 00:56:16,360 Speaker 1: for another time. In the case of Connecticut, though, it 945 00:56:16,440 --> 00:56:18,959 Speaker 1: is a deep blue state, and it is a state 946 00:56:19,040 --> 00:56:24,080 Speaker 1: that has had a high degree of COVID mortality, which 947 00:56:24,120 --> 00:56:26,759 Speaker 1: is something that I also think we need to focus on. 948 00:56:26,960 --> 00:56:29,480 Speaker 1: I think we need to be very clear about the 949 00:56:29,480 --> 00:56:32,239 Speaker 1: fact that the Blue states. I remember early on in 950 00:56:32,239 --> 00:56:35,879 Speaker 1: the pandemic, there were a lot of smug blue check 951 00:56:36,000 --> 00:56:38,920 Speaker 1: liberals on social media who were staying, the red states 952 00:56:38,920 --> 00:56:41,120 Speaker 1: are going to have all this COVID, the Blue states 953 00:56:41,120 --> 00:56:44,440 Speaker 1: listen to the science and well turned out the worst 954 00:56:44,480 --> 00:56:50,880 Speaker 1: states for COVID nineteen New Jersey, New York, Massachusetts, Rhode Island. 955 00:56:51,440 --> 00:56:54,640 Speaker 1: Those are the worst states. Connecticut's high. I think Connecticut's 956 00:56:54,640 --> 00:56:57,000 Speaker 1: in the top, in the top ten, but those are 957 00:56:57,000 --> 00:57:00,520 Speaker 1: the worst states for COVID nineteen. And I think it's 958 00:57:00,560 --> 00:57:05,640 Speaker 1: important that everybody understand that that was completely contrary to 959 00:57:05,640 --> 00:57:08,120 Speaker 1: what we were initially being told that the red states 960 00:57:08,160 --> 00:57:10,279 Speaker 1: that don't wear their masks they were going to be 961 00:57:10,320 --> 00:57:13,600 Speaker 1: the ones that suffered so badly. Anyway, Connecticut is moving 962 00:57:13,600 --> 00:57:15,719 Speaker 1: in the right direction. And you know, I always tell 963 00:57:15,760 --> 00:57:17,800 Speaker 1: you I call balls and strike as I call it 964 00:57:17,840 --> 00:57:20,680 Speaker 1: like I see it. Anything that is pushing in the 965 00:57:20,680 --> 00:57:24,240 Speaker 1: direction of reopening is better than the alternative. So I'm 966 00:57:24,280 --> 00:57:28,600 Speaker 1: always going to be favorable toward decisions about reopen at 967 00:57:28,640 --> 00:57:30,920 Speaker 1: this phase because that's where we should all. That's where 968 00:57:30,960 --> 00:57:35,960 Speaker 1: we should be. But I also understand. I'm also clear 969 00:57:36,000 --> 00:57:40,000 Speaker 1: on the fact that some of these places. It's not 970 00:57:40,080 --> 00:57:42,320 Speaker 1: just about when they're reopening, it's about when do we 971 00:57:42,360 --> 00:57:45,800 Speaker 1: get to have a real conversation about the bad decision 972 00:57:45,880 --> 00:57:49,920 Speaker 1: making here and the poor decision making of elected officials 973 00:57:50,160 --> 00:57:53,680 Speaker 1: about lockdown in the first place. I will tell you this. 974 00:57:53,720 --> 00:57:56,600 Speaker 1: I was just thinking about this yesterday. I so appreciate 975 00:57:56,680 --> 00:57:58,800 Speaker 1: the people who listened to this show, who are writing 976 00:57:58,800 --> 00:58:01,440 Speaker 1: in from all over the country and were really supporting me. 977 00:58:01,520 --> 00:58:04,640 Speaker 1: It was not easy to be a lockdown skeptic in 978 00:58:04,680 --> 00:58:07,280 Speaker 1: the last year. I had a lot of people on 979 00:58:07,320 --> 00:58:09,400 Speaker 1: the right, even I had a lot of people who 980 00:58:09,400 --> 00:58:14,200 Speaker 1: are Republicans who would write it sometimes saying people who 981 00:58:14,200 --> 00:58:16,840 Speaker 1: even knew me whould say kind of nasty or really 982 00:58:16,960 --> 00:58:19,720 Speaker 1: nasty stuff. You know, can't you read? Why don't you 983 00:58:19,760 --> 00:58:22,919 Speaker 1: believe science? Things like this all the time, And it's 984 00:58:22,960 --> 00:58:26,440 Speaker 1: because I was offending their religion. This became a religion. 985 00:58:27,200 --> 00:58:32,400 Speaker 1: It was a philosophy of meaning and a philosophy of 986 00:58:32,480 --> 00:58:36,960 Speaker 1: personal excellence that really was very divorced from actual science 987 00:58:36,960 --> 00:58:40,560 Speaker 1: and data. And so I appreciate those who listening to 988 00:58:40,560 --> 00:58:42,479 Speaker 1: the show. One that you continue to obviously to listen 989 00:58:42,520 --> 00:58:44,960 Speaker 1: when I'm talking about this stuff, because I know sometimes 990 00:58:44,960 --> 00:58:46,400 Speaker 1: there were other issues. You know, I think that the 991 00:58:46,440 --> 00:58:51,480 Speaker 1: conservative media was so busy sometimes just just chasing around 992 00:58:51,520 --> 00:58:54,600 Speaker 1: every aspect of the Trump train, that we let the 993 00:58:54,760 --> 00:58:57,600 Speaker 1: narrative around COVID be dominated by the Democrats. And by 994 00:58:57,600 --> 00:59:00,400 Speaker 1: the way, that's how they beat Trump. Was a part 995 00:59:00,440 --> 00:59:05,400 Speaker 1: of it. COVID was the secret sauce to Joe Biden 996 00:59:05,480 --> 00:59:09,200 Speaker 1: getting elected. That's how this actually went went went down. 997 00:59:09,240 --> 00:59:11,600 Speaker 1: But you know, there was a lot of chasing Trump 998 00:59:11,600 --> 00:59:13,760 Speaker 1: tweets around, and you know, a lot of focus on 999 00:59:13,840 --> 00:59:15,640 Speaker 1: you know, Hunter Biden and all I was totally the 1000 00:59:15,720 --> 00:59:19,600 Speaker 1: hunder Biden stuff. The biggest story around under Biden was 1001 00:59:19,640 --> 00:59:21,760 Speaker 1: really the fact that they suppressed the Hunter Biden story. 1002 00:59:21,800 --> 00:59:24,080 Speaker 1: The social media companies did, and obviously all the other 1003 00:59:24,120 --> 00:59:27,200 Speaker 1: media companies news media. But I knew that wasn't going 1004 00:59:27,280 --> 00:59:29,880 Speaker 1: to cost Joe Biden the election. I knew that that 1005 00:59:30,000 --> 00:59:34,000 Speaker 1: was something that got the conservative base fired up because 1006 00:59:34,000 --> 00:59:35,760 Speaker 1: it shows what a fraud and I get it, what 1007 00:59:35,800 --> 00:59:38,080 Speaker 1: a hack Joe Biden is, but I knew it wasn't 1008 00:59:38,080 --> 00:59:40,800 Speaker 1: going to be enough. The fight was about COVID, and 1009 00:59:40,880 --> 00:59:43,440 Speaker 1: I kept talking to you about it and about masks 1010 00:59:43,480 --> 00:59:47,160 Speaker 1: and about where this all was, and I appreciate all 1011 00:59:47,160 --> 00:59:48,960 Speaker 1: the support of the people were writing in throughout the 1012 00:59:49,040 --> 00:59:51,400 Speaker 1: year that you gave me on this, because it wasn't 1013 00:59:51,560 --> 00:59:54,720 Speaker 1: it wasn't easy. It wasn't easy. There were not a 1014 00:59:54,720 --> 00:59:58,560 Speaker 1: lot of people on the right who were really adept 1015 00:59:58,680 --> 01:00:01,800 Speaker 1: at making the case and about holding the line when 1016 01:00:01,800 --> 01:00:06,200 Speaker 1: there was overwhelming pressure to to just start double masking 1017 01:00:06,320 --> 01:00:08,960 Speaker 1: or or to just do all these things that we've 1018 01:00:09,000 --> 01:00:13,400 Speaker 1: been told all along, um, some of which are useful 1019 01:00:13,440 --> 01:00:18,160 Speaker 1: to a degree, and some of which are just completely useless. 1020 01:00:18,240 --> 01:00:20,840 Speaker 1: Others are you know, they're overstated in use. I mean, 1021 01:00:20,840 --> 01:00:25,360 Speaker 1: there's so much nuance here and so much complexity in 1022 01:00:25,400 --> 01:00:27,800 Speaker 1: the how to respond to COVID argument, but it all 1023 01:00:27,880 --> 01:00:32,320 Speaker 1: got boiled down to listen to Saint Fauci anyway, some 1024 01:00:32,360 --> 01:00:34,280 Speaker 1: of us will have seen what the truth is here, 1025 01:00:34,320 --> 01:00:36,840 Speaker 1: and I appreciate. Look, I'm very proud of what this 1026 01:00:36,920 --> 01:00:39,000 Speaker 1: show said about COVID for the last twelve months. And 1027 01:00:39,040 --> 01:00:42,840 Speaker 1: I put our record up against anybody for seeing things 1028 01:00:43,120 --> 01:00:47,000 Speaker 1: as they are, for seeing what's coming, and for refusing 1029 01:00:47,040 --> 01:00:50,360 Speaker 1: to bend the knee to the you know, mask up 1030 01:00:50,480 --> 01:00:54,880 Speaker 1: peasant outrage mob. Sorry, folks, I just didn't not to you, 1031 01:00:55,000 --> 01:00:58,720 Speaker 1: but to those people didn't didn't feel like allowing them 1032 01:00:58,760 --> 01:01:01,880 Speaker 1: to get away with their authoritarianism, with their petty tyranny 1033 01:01:01,920 --> 01:01:05,520 Speaker 1: without at least some objection. So I'm very proud of 1034 01:01:05,520 --> 01:01:07,440 Speaker 1: what we've done the last twelve months on that topic, 1035 01:01:07,600 --> 01:01:10,360 Speaker 1: honestly more than any other. And there have not been 1036 01:01:10,400 --> 01:01:12,800 Speaker 1: a lot of people out there who have been really 1037 01:01:12,840 --> 01:01:14,640 Speaker 1: willing to stand shoulder or shoulder with me on this 1038 01:01:14,680 --> 01:01:17,600 Speaker 1: stuff in public, because people like you know, this is 1039 01:01:17,760 --> 01:01:20,720 Speaker 1: a true of even concerns in the media, they really 1040 01:01:20,720 --> 01:01:23,880 Speaker 1: like their peer group to think they're smart. They want 1041 01:01:23,880 --> 01:01:26,439 Speaker 1: they're okay with being disagreed with, but they want other 1042 01:01:26,440 --> 01:01:30,080 Speaker 1: people in commentary and journalism and whatever to think that 1043 01:01:30,120 --> 01:01:34,560 Speaker 1: they're at least they're smart. And that became a big 1044 01:01:34,840 --> 01:01:39,680 Speaker 1: peer pressure issue with lockdowns and masking. Anyway, Rand Paul 1045 01:01:41,160 --> 01:01:43,160 Speaker 1: among those who have been willing to speak the truth 1046 01:01:43,200 --> 01:01:45,120 Speaker 1: on this issue along Rand Paul has been one of 1047 01:01:45,120 --> 01:01:49,720 Speaker 1: my favorites. I think Rand Paul is a really excellent 1048 01:01:49,800 --> 01:01:53,240 Speaker 1: voice in American politics. I agree with him, you know, 1049 01:01:53,280 --> 01:01:56,040 Speaker 1: over ninety percent of the time I think on policy matters. 1050 01:01:56,720 --> 01:01:59,400 Speaker 1: And I know he's not a great retail politician, and 1051 01:01:59,480 --> 01:02:02,040 Speaker 1: he's just a little he's a little smarmie. It's just 1052 01:02:02,080 --> 01:02:05,600 Speaker 1: the way he is. But I also believe that he's 1053 01:02:05,680 --> 01:02:09,960 Speaker 1: underrated for his decision making. I think he has very 1054 01:02:10,000 --> 01:02:12,800 Speaker 1: good judgment on a whole range of issues, and he's 1055 01:02:12,840 --> 01:02:15,800 Speaker 1: been so strong on COVID in lockdown. So the Senator 1056 01:02:15,840 --> 01:02:18,760 Speaker 1: from Kentucky here he is play clip one. The scientific 1057 01:02:18,760 --> 01:02:22,480 Speaker 1: evidence has been overwhelming, not only now but for months. 1058 01:02:22,520 --> 01:02:25,480 Speaker 1: The kids should be back in school. Even the most 1059 01:02:25,520 --> 01:02:28,480 Speaker 1: cautious of government experts is saying they should go back 1060 01:02:28,520 --> 01:02:31,800 Speaker 1: to school. Around the world, kids have been in person 1061 01:02:31,920 --> 01:02:36,120 Speaker 1: learning for nine ten months, sometimes some of them never 1062 01:02:36,160 --> 01:02:41,560 Speaker 1: interrupted in person schooling, without surges or without outbreaks. In 1063 01:02:41,680 --> 01:02:46,760 Speaker 1: my state, three different Christian schools, Louisville Christian Academy, Calvary 1064 01:02:46,840 --> 01:02:51,640 Speaker 1: Christian Academy in Covington, and Rosehill Christian Academy at Ashland 1065 01:02:51,840 --> 01:02:55,360 Speaker 1: have been in continuous school in person since last summer 1066 01:02:55,600 --> 01:02:59,840 Speaker 1: without significant outbreaks. The evidence is there, but maybe we 1067 01:03:00,040 --> 01:03:02,160 Speaker 1: need something even more to get people back in school. 1068 01:03:02,520 --> 01:03:04,840 Speaker 1: And the one thing I know that works is competition. 1069 01:03:05,320 --> 01:03:07,880 Speaker 1: So I've introduced today a bill called the School Act. 1070 01:03:08,160 --> 01:03:10,480 Speaker 1: The School Act says if you have title ones that 1071 01:03:10,600 --> 01:03:13,200 Speaker 1: follow a poor child, they should follow the poor child 1072 01:03:13,200 --> 01:03:15,280 Speaker 1: wherever they want to go. If there's a school that 1073 01:03:15,360 --> 01:03:17,760 Speaker 1: will not open or will not teach them, the poor 1074 01:03:17,840 --> 01:03:20,320 Speaker 1: child can go to a private school, religious school, wherever 1075 01:03:20,320 --> 01:03:22,680 Speaker 1: they want to go, wherever they think their parents think 1076 01:03:22,680 --> 01:03:25,360 Speaker 1: will be a better education. The child can take those 1077 01:03:25,400 --> 01:03:28,720 Speaker 1: funds and go there. I'm guessing when kids start flowing 1078 01:03:28,720 --> 01:03:31,400 Speaker 1: to other places, the schools will decide to open up. 1079 01:03:31,640 --> 01:03:34,000 Speaker 1: But right now, we don't have enough in person learning 1080 01:03:34,000 --> 01:03:36,040 Speaker 1: in Kentucky, and I'm going to do everything I can 1081 01:03:36,120 --> 01:03:39,560 Speaker 1: to get the schools open. He frames is the right way. 1082 01:03:39,680 --> 01:03:44,880 Speaker 1: It's not that schools shouldn't stay closed. That's not nearly 1083 01:03:44,880 --> 01:03:49,040 Speaker 1: far enough. Schools never should have been closed. That's what 1084 01:03:49,200 --> 01:03:53,520 Speaker 1: all the actual evidence points to, despite the politic fact 1085 01:03:53,560 --> 01:03:55,560 Speaker 1: that whatever fact check of me recently where they're all 1086 01:03:55,600 --> 01:03:57,560 Speaker 1: coming out of those people are morons, by the way, 1087 01:03:58,240 --> 01:04:01,920 Speaker 1: absolute morons, but have acquired some real power to silence 1088 01:04:02,000 --> 01:04:06,880 Speaker 1: voices because they've they've presented themselves falsely to social media companies. 1089 01:04:06,880 --> 01:04:10,680 Speaker 1: They've they've colluded with social media giants like Facebook to say, 1090 01:04:11,160 --> 01:04:13,560 Speaker 1: you know that they are the arbiters of truth. They mean, 1091 01:04:13,600 --> 01:04:18,400 Speaker 1: it's it's bizarre, it's absurd, but that's what they do. That. 1092 01:04:18,440 --> 01:04:20,400 Speaker 1: That's why when I say school should be open, they 1093 01:04:20,400 --> 01:04:23,280 Speaker 1: say partly false. That's that's right. I got an official 1094 01:04:23,320 --> 01:04:25,440 Speaker 1: partly false rating on that when I wrote on bucksexten 1095 01:04:25,480 --> 01:04:27,680 Speaker 1: dot com where we're putting up great pieces. If you 1096 01:04:27,680 --> 01:04:31,680 Speaker 1: haven't read my Texas Reopen and you know, go fouchy 1097 01:04:31,760 --> 01:04:34,480 Speaker 1: yourself lockdowners piece at bucksexen dot com. It's still up. 1098 01:04:34,520 --> 01:04:36,800 Speaker 1: Please go check it out. And we also have a 1099 01:04:37,520 --> 01:04:39,280 Speaker 1: button to listen to the podcast at the top of 1100 01:04:39,320 --> 01:04:41,600 Speaker 1: that page, so such an easy way. If you're ever like, 1101 01:04:41,640 --> 01:04:43,520 Speaker 1: where do I go? I'm not really a podcast person, Well, 1102 01:04:43,560 --> 01:04:45,640 Speaker 1: I'm sure you're a website person, right, we all are. 1103 01:04:45,920 --> 01:04:48,280 Speaker 1: Go to bucksxen dot com press play at the top 1104 01:04:48,320 --> 01:04:51,800 Speaker 1: of the page. So easy, and you know, and I've 1105 01:04:52,200 --> 01:04:55,280 Speaker 1: I'm so happy with the way that more people listen 1106 01:04:55,280 --> 01:04:57,200 Speaker 1: to this podcast. The more people listen to this podcast, 1107 01:04:57,240 --> 01:04:58,760 Speaker 1: that's the way it goes. Or you know, this is 1108 01:04:58,760 --> 01:05:00,360 Speaker 1: a radio show, but we have a po pcast of 1109 01:05:00,400 --> 01:05:04,200 Speaker 1: the radio show and you got bucksx and dot com 1110 01:05:04,200 --> 01:05:06,240 Speaker 1: press play at the top of the page. It's very 1111 01:05:06,360 --> 01:05:10,200 Speaker 1: very easy. And this is why our podcast has tripled 1112 01:05:10,240 --> 01:05:12,960 Speaker 1: in size beat two and a half times in the 1113 01:05:13,040 --> 01:05:16,280 Speaker 1: last twelve months also while this pandemic has been going on, 1114 01:05:16,320 --> 01:05:18,280 Speaker 1: because I think that we've been seeing this more clearly 1115 01:05:18,280 --> 01:05:20,280 Speaker 1: than other people, including other people in the in the 1116 01:05:20,280 --> 01:05:23,120 Speaker 1: conservative commentary space. You know, there a a lot of 1117 01:05:23,160 --> 01:05:24,760 Speaker 1: people that were kind of hedging their bets on some 1118 01:05:24,800 --> 01:05:26,200 Speaker 1: of this stuff in a way that I thought was 1119 01:05:26,240 --> 01:05:29,120 Speaker 1: kind of was pretty weak. We've been we've been keeping 1120 01:05:29,120 --> 01:05:32,400 Speaker 1: it real during COVID in the freedom hunt, that's for sure. 1121 01:05:32,600 --> 01:05:36,200 Speaker 1: We are already on track to bounce back from this chrysis. 1122 01:05:36,200 --> 01:05:38,720 Speaker 1: That's not because of this bill. It's because of our 1123 01:05:38,760 --> 01:05:43,760 Speaker 1: work last year. It's the trend this new democratic government inherited. 1124 01:05:43,960 --> 01:05:47,120 Speaker 1: We're going to come roaring back, and mostly not because 1125 01:05:47,120 --> 01:05:50,200 Speaker 1: of this bill. In fact, in some ways, in spite 1126 01:05:50,760 --> 01:05:54,720 Speaker 1: of this film. Yeah, that's that's an important concept. Look, 1127 01:05:54,720 --> 01:05:56,560 Speaker 1: I know a lot of you kept problems with Mitch McConnelly. 1128 01:05:56,640 --> 01:05:59,400 Speaker 1: I have problems with what he does sometimes too, but 1129 01:05:59,600 --> 01:06:03,440 Speaker 1: he is an astute political observer at times. And this 1130 01:06:03,960 --> 01:06:06,880 Speaker 1: is the real story of America's come back from COVID, 1131 01:06:07,560 --> 01:06:10,600 Speaker 1: is that if Democrats would just not make things worse, 1132 01:06:12,160 --> 01:06:15,880 Speaker 1: things would get so much better. If Democrats would just 1133 01:06:17,000 --> 01:06:20,760 Speaker 1: improve things, you know, sorry, if Democrats would just not 1134 01:06:20,920 --> 01:06:23,320 Speaker 1: ruin things, forget about trying to make things a lot better. 1135 01:06:23,320 --> 01:06:25,320 Speaker 1: If they would just stand aside to let the American 1136 01:06:25,360 --> 01:06:27,600 Speaker 1: people get back to work and do what they need 1137 01:06:27,640 --> 01:06:30,560 Speaker 1: to do, we'd be we all be in really good shape. 1138 01:06:30,560 --> 01:06:33,040 Speaker 1: I mean, things would be looking very strong going forward. 1139 01:06:34,200 --> 01:06:36,720 Speaker 1: But they're not. They're actually going to make things worse. 1140 01:06:37,920 --> 01:06:40,120 Speaker 1: They can't, I mean, they can't help themselves, but this 1141 01:06:40,200 --> 01:06:43,920 Speaker 1: is who they are. They're going to make things worse, 1142 01:06:44,280 --> 01:06:49,080 Speaker 1: and it's it's disappointing, of course, because I want I 1143 01:06:49,160 --> 01:06:51,960 Speaker 1: know this sounds so trite. I know this sounds so saccharin. 1144 01:06:52,720 --> 01:06:56,480 Speaker 1: I want what's best for the country. I want the 1145 01:06:56,520 --> 01:06:59,200 Speaker 1: country to be doing well, and I want us to 1146 01:06:59,200 --> 01:07:01,160 Speaker 1: have our lives back in our freedom back, and I 1147 01:07:01,200 --> 01:07:05,880 Speaker 1: want to get past this whole COVID nightmare. Democrats still 1148 01:07:05,920 --> 01:07:07,560 Speaker 1: feel like there's a lot they need to get out 1149 01:07:07,560 --> 01:07:10,800 Speaker 1: of this. They haven't squeezed all the juice out of 1150 01:07:10,800 --> 01:07:14,120 Speaker 1: this lemon yet. That's really that's really the mentality. I mean, 1151 01:07:14,640 --> 01:07:17,360 Speaker 1: had they used this yet to address the emergency of 1152 01:07:17,480 --> 01:07:20,640 Speaker 1: climate change? No, they have none, So how could they 1153 01:07:20,640 --> 01:07:23,880 Speaker 1: move past it? Well, we all understand that's why they're 1154 01:07:23,920 --> 01:07:27,480 Speaker 1: trying to extend this as long as they can, and 1155 01:07:27,520 --> 01:07:30,320 Speaker 1: they certainly don't want to give any credit to Biden's 1156 01:07:30,360 --> 01:07:34,280 Speaker 1: predecessor or anything. Here's Jen Saki play fifteen. You want 1157 01:07:34,400 --> 01:07:36,640 Speaker 1: following some of the same playbook here, So does the 1158 01:07:36,640 --> 01:07:40,520 Speaker 1: prior administration deserve some credit for laying the groundwork? Which 1159 01:07:40,520 --> 01:07:44,760 Speaker 1: ones are we following? Well? For instance, a former Trump 1160 01:07:44,760 --> 01:07:47,960 Speaker 1: EHHS Assistant Secretary Admiral Brett Girard, has said that you're 1161 01:07:48,000 --> 01:07:50,960 Speaker 1: following ninety nine percent of the playbook they created on vaccines. 1162 01:07:51,840 --> 01:07:54,920 Speaker 1: He has said that the prior administration deserves more credit 1163 01:07:54,960 --> 01:07:57,200 Speaker 1: here for at least getting the ball rolling a similities. 1164 01:07:57,640 --> 01:08:00,000 Speaker 1: I don't think anyone deserves credit when half a million 1165 01:08:00,120 --> 01:08:03,120 Speaker 1: people in the country have died of this pandemic. So 1166 01:08:03,480 --> 01:08:06,120 Speaker 1: what our focus is on, and when the president's focuses 1167 01:08:06,160 --> 01:08:08,439 Speaker 1: on when he came into office just over a month ago, 1168 01:08:08,840 --> 01:08:12,280 Speaker 1: was ensuring that we had enough vaccines. We have that 1169 01:08:12,400 --> 01:08:15,080 Speaker 1: we are going to have them now, We had enough vaccinators, 1170 01:08:15,320 --> 01:08:18,439 Speaker 1: and we had enough vaccine locations to get this pandemic 1171 01:08:18,520 --> 01:08:21,960 Speaker 1: under control. There's no question and all data points to 1172 01:08:22,000 --> 01:08:24,040 Speaker 1: the fact that there were not enough of any of 1173 01:08:24,080 --> 01:08:27,280 Speaker 1: those things when he took office. We are open eyed 1174 01:08:27,280 --> 01:08:30,800 Speaker 1: about the challenge we continue to live under, and that's 1175 01:08:30,800 --> 01:08:33,200 Speaker 1: why he has been focused every single day and doing 1176 01:08:33,240 --> 01:08:36,519 Speaker 1: everything possible to get the pandemic under control. But those 1177 01:08:36,600 --> 01:08:39,040 Speaker 1: were there were shortages in all those areas which we're 1178 01:08:39,080 --> 01:08:42,240 Speaker 1: preventing us from moving forward on getting the pandemic under control. 1179 01:08:42,479 --> 01:08:48,000 Speaker 1: Shortages in all of those areas. Huh, No, no credit notice, 1180 01:08:48,280 --> 01:08:50,760 Speaker 1: no credit for anybody. Accept a lot of credit for 1181 01:08:50,840 --> 01:08:54,320 Speaker 1: Joe Biden, right, look at the way she did that. 1182 01:08:54,560 --> 01:08:57,240 Speaker 1: No credit for the vaccine, but credit for ramping up 1183 01:08:57,360 --> 01:09:02,759 Speaker 1: vaccine production. What's the bigger what's the bigger miracle, folks, 1184 01:09:03,040 --> 01:09:07,679 Speaker 1: getting a vaccine done in truly record time of one year, 1185 01:09:08,560 --> 01:09:14,080 Speaker 1: or a vaccine up upping the number of vaccine that's 1186 01:09:14,080 --> 01:09:16,800 Speaker 1: being produced. I just I'm curious which one of those 1187 01:09:16,800 --> 01:09:19,400 Speaker 1: things you think is a bigger hurdle. Is it discovering 1188 01:09:19,400 --> 01:09:22,240 Speaker 1: the cure or making more of a cure that you're 1189 01:09:22,240 --> 01:09:24,639 Speaker 1: already making millions and millions of doses of But Jen 1190 01:09:24,720 --> 01:09:27,519 Speaker 1: Sagi says no credit for anybody. What she means is 1191 01:09:28,160 --> 01:09:31,640 Speaker 1: no credit for Trump. Of course, between COVID where we 1192 01:09:31,720 --> 01:09:35,160 Speaker 1: need to have vaccinations more broadly in the capital so 1193 01:09:35,320 --> 01:09:39,120 Speaker 1: that many more people can come here and do their jobs, 1194 01:09:39,640 --> 01:09:44,000 Speaker 1: and the threat of them, of all the president's men 1195 01:09:44,320 --> 01:09:49,840 Speaker 1: out there, we have to we have to ensure with 1196 01:09:49,880 --> 01:09:55,400 Speaker 1: our security that we are safe enough to do our 1197 01:09:55,520 --> 01:10:01,280 Speaker 1: job but not impeding. What about this sup those massive 1198 01:10:01,360 --> 01:10:04,479 Speaker 1: threat to the Capitol didn't happen. Nothing happened really except 1199 01:10:04,520 --> 01:10:06,439 Speaker 1: a lot of troops walking around with nothing to do, 1200 01:10:06,560 --> 01:10:09,160 Speaker 1: a lot of barbed wire and big metal fencing and 1201 01:10:09,680 --> 01:10:13,840 Speaker 1: makes it look like DC is the DMZ. What the 1202 01:10:13,840 --> 01:10:17,000 Speaker 1: heck is this all about? Our friend Jack possobit from 1203 01:10:17,040 --> 01:10:21,719 Speaker 1: one American News with US now former naval intelligence officer, 1204 01:10:22,040 --> 01:10:24,639 Speaker 1: and we're gonna talked about all this, Jack, mister posts. 1205 01:10:24,640 --> 01:10:27,960 Speaker 1: So good to see you. Buck, really appreciate being here. 1206 01:10:28,000 --> 01:10:29,720 Speaker 1: Thanks for having me on. I mean, yesterday I was 1207 01:10:29,760 --> 01:10:31,800 Speaker 1: down there. I was boots on the ground. It was 1208 01:10:31,840 --> 01:10:35,599 Speaker 1: a harrowing experience. But fortunately I made it out by 1209 01:10:35,600 --> 01:10:37,960 Speaker 1: the skin of my neck. Yeah, you made it out, okay. 1210 01:10:38,000 --> 01:10:40,720 Speaker 1: I mean there probably were some guys I don't know, 1211 01:10:40,840 --> 01:10:44,240 Speaker 1: selling T shirts out there, or you know, it was 1212 01:10:44,320 --> 01:10:48,120 Speaker 1: like capital. I saw some photos. I didn't see anybody 1213 01:10:48,479 --> 01:10:50,840 Speaker 1: was anything. At one point, I can say that I 1214 01:10:50,880 --> 01:10:54,479 Speaker 1: can confirm that at one point a couple walk past me. 1215 01:10:55,040 --> 01:10:57,519 Speaker 1: They were walking a dog. I thought at first it 1216 01:10:57,600 --> 01:10:59,479 Speaker 1: may be a dangerous dog, like, I know, like a 1217 01:10:59,520 --> 01:11:02,759 Speaker 1: pit bull or rottweiler. But it was a Golden Retriever. 1218 01:11:02,880 --> 01:11:05,000 Speaker 1: Now I don't know if it was trained for, you know, 1219 01:11:05,560 --> 01:11:08,040 Speaker 1: an you know attack, like it was an attack Golden retriever. 1220 01:11:08,479 --> 01:11:11,120 Speaker 1: But yeah, yeah, no buck. I was there yesterday. My 1221 01:11:11,120 --> 01:11:13,240 Speaker 1: my building, the One American News studio. It's right at 1222 01:11:13,360 --> 01:11:17,320 Speaker 1: Constitution Avenue, so literally right out front of the gate 1223 01:11:17,720 --> 01:11:19,519 Speaker 1: where we where we go in and out of the 1224 01:11:19,600 --> 01:11:23,280 Speaker 1: building is the barricades, the razor wire, and the troops 1225 01:11:23,280 --> 01:11:25,920 Speaker 1: with machine guns who every time I film out there, 1226 01:11:26,040 --> 01:11:27,960 Speaker 1: it seems like they don't recognize me, even though the 1227 01:11:27,960 --> 01:11:30,080 Speaker 1: same guy who does it every day, because they always 1228 01:11:30,120 --> 01:11:31,920 Speaker 1: checked me and say, hey, do you credentials? What are 1229 01:11:31,920 --> 01:11:34,680 Speaker 1: you doing? What do you? I work here? Right? I 1230 01:11:34,720 --> 01:11:38,000 Speaker 1: work here. I was walking around all day. They were 1231 01:11:38,040 --> 01:11:42,960 Speaker 1: about they were actually about um the entire militia, the 1232 01:11:44,760 --> 01:11:48,120 Speaker 1: Trump's men, the President's men, as as Pelosi called it. 1233 01:11:48,120 --> 01:11:50,720 Speaker 1: It ended up being about four people who showed up 1234 01:11:50,720 --> 01:11:53,639 Speaker 1: in Magahats saying that they were that they were Trump supporters. 1235 01:11:53,680 --> 01:11:56,240 Speaker 1: So I think I think we're calling it the unsurrection. 1236 01:11:56,320 --> 01:12:02,000 Speaker 1: It was the unsurrection of March twenty, well, the non surrection. 1237 01:12:02,120 --> 01:12:05,280 Speaker 1: We could go a lot of a lot of things here, Jack. 1238 01:12:06,120 --> 01:12:08,519 Speaker 1: What was the you know, it's always amazing to be 1239 01:12:08,800 --> 01:12:12,479 Speaker 1: how many of these lib journals out there no so 1240 01:12:12,560 --> 01:12:14,800 Speaker 1: much more than I do about QAnon. The usually things 1241 01:12:14,800 --> 01:12:17,200 Speaker 1: that are supposedly on the right or on the right 1242 01:12:17,240 --> 01:12:21,439 Speaker 1: in some capacity. I'm educated educating all the liberals on. 1243 01:12:21,680 --> 01:12:24,560 Speaker 1: But they are they are experts. These people have PhDs 1244 01:12:24,640 --> 01:12:29,000 Speaker 1: now and q aon. Uh. What was the supposed that 1245 01:12:29,479 --> 01:12:32,080 Speaker 1: the threat that Pelosi was so worried about was that 1246 01:12:32,120 --> 01:12:35,439 Speaker 1: there was a QAnon internet posting about how Trump was 1247 01:12:35,439 --> 01:12:39,000 Speaker 1: actually gonna take office yesterday, Right, wasn't that what it was? Yeah? 1248 01:12:39,120 --> 01:12:41,519 Speaker 1: So someone posted and for anyone who isn't you know, 1249 01:12:41,680 --> 01:12:45,439 Speaker 1: up to speed on their qan on knowledge, Um, they 1250 01:12:45,479 --> 01:12:48,240 Speaker 1: they posted on these anonymous message boards on the Internet. 1251 01:12:48,240 --> 01:12:50,519 Speaker 1: That's very hard for you know, for anyone to finds 1252 01:12:50,520 --> 01:12:52,200 Speaker 1: to keep taking them down. Change in the title of it. 1253 01:12:52,479 --> 01:12:56,400 Speaker 1: But the idea was so March fourth historically used to 1254 01:12:56,400 --> 01:12:59,840 Speaker 1: be inauguration day. It was later changed January. And so 1255 01:13:00,200 --> 01:13:02,840 Speaker 1: there were people who were thinking that there was a 1256 01:13:02,880 --> 01:13:06,880 Speaker 1: secret plan afoot and that Trump would actually be brought 1257 01:13:06,880 --> 01:13:10,760 Speaker 1: in using that original inauguration date of March fourth. And 1258 01:13:10,800 --> 01:13:14,759 Speaker 1: so this then, because somebody wrote that somewhere on the Internet, 1259 01:13:16,040 --> 01:13:18,280 Speaker 1: not even on four Chan, it's even a lesser known 1260 01:13:18,360 --> 01:13:22,000 Speaker 1: sight than four Chan, the entire media took that post 1261 01:13:22,320 --> 01:13:26,640 Speaker 1: and blew it up to astronomical proportions. The FBI, the 1262 01:13:26,760 --> 01:13:29,880 Speaker 1: DHS were writing assessments on it. Fuck and I know 1263 01:13:29,960 --> 01:13:32,840 Speaker 1: you and I both know what that means. And they 1264 01:13:33,040 --> 01:13:36,840 Speaker 1: actually shut down US government yesterday, They shut down the 1265 01:13:36,840 --> 01:13:40,880 Speaker 1: House of Representatives. They had troops marching because of an 1266 01:13:41,000 --> 01:13:45,960 Speaker 1: internet post anonymously on a message board. Unbelievable. And Jack 1267 01:13:46,000 --> 01:13:49,400 Speaker 1: and I both have written threat assessments in our day, 1268 01:13:49,520 --> 01:13:53,479 Speaker 1: Jack for the military and me for the CIA. So 1269 01:13:53,720 --> 01:13:55,599 Speaker 1: you know, Jack, I think it's it's important for everybody 1270 01:13:55,680 --> 01:14:00,920 Speaker 1: realize threat reporting. If you're not going to Gaye's credibility 1271 01:14:01,040 --> 01:14:03,400 Speaker 1: or if you're just gonna we live in a world 1272 01:14:03,479 --> 01:14:07,040 Speaker 1: of constant threat reporting. It's a fire hose every day. Yeah, 1273 01:14:07,080 --> 01:14:09,800 Speaker 1: if you're going to take every social media posed that 1274 01:14:09,960 --> 01:14:13,720 Speaker 1: some guy fires off because they're mad at whatever and 1275 01:14:14,040 --> 01:14:16,280 Speaker 1: act as if that's some kind of actual threat, people 1276 01:14:16,280 --> 01:14:18,800 Speaker 1: would be you'd be floored, right, that's going on everywhere 1277 01:14:18,840 --> 01:14:21,720 Speaker 1: all the time. The Internet releases the inner it of 1278 01:14:21,800 --> 01:14:24,559 Speaker 1: you know, anyone that really goes on there, especially through 1279 01:14:24,720 --> 01:14:28,160 Speaker 1: the cloak of anonymimity that is available to so many 1280 01:14:28,160 --> 01:14:30,920 Speaker 1: of these sites, and it's it's actually been a place 1281 01:14:30,920 --> 01:14:33,280 Speaker 1: where people can just kind of release their their you know, 1282 01:14:33,400 --> 01:14:35,679 Speaker 1: pent up anger and frustration in many of these cases. 1283 01:14:36,360 --> 01:14:39,800 Speaker 1: But for our intelligence community to use this, for our 1284 01:14:39,840 --> 01:14:42,360 Speaker 1: government to use this, and for politicians to use this, 1285 01:14:42,680 --> 01:14:45,760 Speaker 1: We've literally got to the point now where we are 1286 01:14:45,840 --> 01:14:50,400 Speaker 1: taking these far left wing conspiracies, that's what they are, 1287 01:14:50,479 --> 01:14:53,040 Speaker 1: and we're using them to run our government. So I'm 1288 01:14:53,080 --> 01:14:54,960 Speaker 1: taking a switch on it. So we had, we had 1289 01:14:55,000 --> 01:14:58,720 Speaker 1: the unsurrection, we had Joe Biden's un inauguration. So I'm 1290 01:14:58,720 --> 01:15:00,800 Speaker 1: calling this now instead of and on, this is blue 1291 01:15:00,840 --> 01:15:03,400 Speaker 1: and on. This is all blue and on, meaning that 1292 01:15:03,479 --> 01:15:06,840 Speaker 1: blue checks on social media are the ones who are 1293 01:15:07,360 --> 01:15:11,200 Speaker 1: blowing completely and it's really they're blowing these this alleged 1294 01:15:11,240 --> 01:15:14,919 Speaker 1: threat of another insurrection or coup or whatever out of proportion. 1295 01:15:15,320 --> 01:15:17,640 Speaker 1: But but Jack, and we're speaking to Jack Pisobic of 1296 01:15:17,800 --> 01:15:22,040 Speaker 1: of One American News here. Jack, to me, this is 1297 01:15:22,080 --> 01:15:24,240 Speaker 1: it's intentional. They at some level. A lot of them 1298 01:15:24,280 --> 01:15:26,559 Speaker 1: have to know that this is absurd, but they like 1299 01:15:27,000 --> 01:15:30,800 Speaker 1: the theatrics. Well. See, people need to understand two things now. 1300 01:15:31,000 --> 01:15:35,160 Speaker 1: Number one is the entire time that Joe Biden has 1301 01:15:35,200 --> 01:15:36,640 Speaker 1: been in office, and I've heard of him as the 1302 01:15:36,800 --> 01:15:40,640 Speaker 1: current occupant of the White House, the entire time Washington, 1303 01:15:40,760 --> 01:15:46,880 Speaker 1: DC has been under military occupation even before he occupied 1304 01:15:46,920 --> 01:15:48,800 Speaker 1: that office. So you know, for those of you who 1305 01:15:48,880 --> 01:15:52,280 Speaker 1: aren't in the district right, I'm I can't park my car. 1306 01:15:52,400 --> 01:15:55,280 Speaker 1: I literally can't park my car because there are barricades, 1307 01:15:55,439 --> 01:15:58,759 Speaker 1: razor wire, and soldiers with machine guns blocking the way. 1308 01:15:58,880 --> 01:16:01,840 Speaker 1: This has been every single day Joe Biden's been in office, 1309 01:16:02,040 --> 01:16:04,479 Speaker 1: and the local residence of DC are fed up with it. 1310 01:16:04,720 --> 01:16:09,719 Speaker 1: You've got even the DC representative for the district, who's 1311 01:16:09,720 --> 01:16:13,479 Speaker 1: a Democrat or revered Democrat, She's come out against this. You' 1312 01:16:13,479 --> 01:16:16,080 Speaker 1: even had Amy Klobascher in the Senate saying, look, this 1313 01:16:16,439 --> 01:16:19,800 Speaker 1: is untenable. We cannot continue this. It is Nancy Pelosi, 1314 01:16:20,360 --> 01:16:23,200 Speaker 1: Chuck Schumer, and Joe Biden who's basically doing their bidding 1315 01:16:23,400 --> 01:16:25,679 Speaker 1: that is continuing this, and the fact that it's still 1316 01:16:25,720 --> 01:16:28,080 Speaker 1: going on, that we're forcing these soldiers to be out there. 1317 01:16:28,120 --> 01:16:30,080 Speaker 1: It's quite cold in DC right now. It's March, by 1318 01:16:30,080 --> 01:16:33,240 Speaker 1: the way, it's incredibly windy, and it's twenty four to 1319 01:16:33,280 --> 01:16:36,360 Speaker 1: seven that they're standing this watch. It's ridiculous. This is 1320 01:16:36,400 --> 01:16:38,800 Speaker 1: the twenty first century. If we're worried about something, if 1321 01:16:38,840 --> 01:16:41,920 Speaker 1: you have a credible threat, then go arrest them, right. 1322 01:16:42,160 --> 01:16:45,320 Speaker 1: There's no need for this level of physical security in 1323 01:16:45,320 --> 01:16:47,400 Speaker 1: a day and age where we have drones, where we 1324 01:16:47,439 --> 01:16:49,599 Speaker 1: have we can you know, sting rays, and we can 1325 01:16:49,960 --> 01:16:52,320 Speaker 1: track cell phones, et cetera, et cetera. There's absolutely no 1326 01:16:52,400 --> 01:16:54,679 Speaker 1: reason for this other than trying to turn us into 1327 01:16:54,720 --> 01:16:59,439 Speaker 1: some kind of totalitarian, dystopian hunger games nightmare vision of 1328 01:16:59,439 --> 01:17:02,920 Speaker 1: what the United States should be. Explain to me what 1329 01:17:02,960 --> 01:17:05,519 Speaker 1: the heck is going on here with this this new 1330 01:17:05,600 --> 01:17:09,920 Speaker 1: story just from today that Lieutenant General Russell Honorey has 1331 01:17:10,000 --> 01:17:14,240 Speaker 1: recommended twenty four seven quick Reaction force a QRF for 1332 01:17:14,280 --> 01:17:18,080 Speaker 1: the military folks out there of DC Guard to protect 1333 01:17:18,080 --> 01:17:22,040 Speaker 1: the capital in his Pelosi ordered review of the Maga riot. 1334 01:17:22,760 --> 01:17:27,960 Speaker 1: What a QRF in addition check to the thousands of troops. 1335 01:17:28,120 --> 01:17:31,040 Speaker 1: I mean, it really is like they think that a 1336 01:17:31,560 --> 01:17:35,160 Speaker 1: brigade size Taliban force is going to descend on the 1337 01:17:35,200 --> 01:17:38,960 Speaker 1: capital any moment, except of course it's Maga not Taliban. Yeah, 1338 01:17:39,000 --> 01:17:41,320 Speaker 1: I mean the level of deployment that we saw early 1339 01:17:41,400 --> 01:17:43,760 Speaker 1: on with the twenty six thousand. I mean, that's the 1340 01:17:43,760 --> 01:17:46,800 Speaker 1: type of force you would need if like the Chinese 1341 01:17:46,840 --> 01:17:50,519 Speaker 1: were coming up to Chesapeake Bay Rights, or or the 1342 01:17:50,560 --> 01:17:54,960 Speaker 1: Russian Akulas that's their submarines were spotted going going past Norfolk. 1343 01:17:55,000 --> 01:17:59,640 Speaker 1: I mean, this is not it's it's just completely unrealistic 1344 01:18:00,120 --> 01:18:02,880 Speaker 1: what anyone's possibly thinking of. This is the type of 1345 01:18:02,880 --> 01:18:06,560 Speaker 1: force you would need for a state on state level conflict. 1346 01:18:06,800 --> 01:18:09,200 Speaker 1: If this is I mean, you've worked counter terrorism. This 1347 01:18:09,280 --> 01:18:11,759 Speaker 1: is not how we do if there was an actual 1348 01:18:11,840 --> 01:18:14,240 Speaker 1: terrorist threat. This is not how you would deal with 1349 01:18:14,280 --> 01:18:16,639 Speaker 1: it any way, shape or form. You go as David petrayus, 1350 01:18:16,800 --> 01:18:18,679 Speaker 1: you go as the coin. This is actually the opposite 1351 01:18:18,680 --> 01:18:20,800 Speaker 1: of coin strategy. By the way, if you go and 1352 01:18:20,880 --> 01:18:23,559 Speaker 1: remember the David Patrey stuffs, even though it didn't work, though, well, 1353 01:18:23,600 --> 01:18:25,600 Speaker 1: this is the exact opposite of what you're supposed to 1354 01:18:25,640 --> 01:18:28,960 Speaker 1: do because because for the reason being for people who 1355 01:18:29,120 --> 01:18:31,880 Speaker 1: aren't read up on that is because when you create 1356 01:18:31,920 --> 01:18:34,400 Speaker 1: such a massive target like this, people have said it 1357 01:18:34,439 --> 01:18:38,840 Speaker 1: actually upsets the populist and potentially increases the occurrence of 1358 01:18:38,880 --> 01:18:44,160 Speaker 1: this happening. Speaking of Jack Posobic of One America News Network, Jack, 1359 01:18:44,880 --> 01:18:47,880 Speaker 1: I feel like they're going to continue this as long 1360 01:18:47,920 --> 01:18:50,760 Speaker 1: as they can, because this is this is kind of 1361 01:18:50,760 --> 01:18:57,519 Speaker 1: a fundamental plank now of the Democrat Biden administration that 1362 01:18:57,560 --> 01:19:00,519 Speaker 1: they are under that whatever they do is just defied 1363 01:19:00,840 --> 01:19:04,280 Speaker 1: by this premise that the actual government itself is under 1364 01:19:05,000 --> 01:19:09,080 Speaker 1: mortal threat from the opposition, meaning Trump voters. And I 1365 01:19:09,120 --> 01:19:10,840 Speaker 1: think they're going to keep extending this as long as 1366 01:19:10,880 --> 01:19:15,639 Speaker 1: they can. Look, Folks, when the histories of this are written, 1367 01:19:16,280 --> 01:19:20,200 Speaker 1: and whether we're writing them or the schools are pushing 1368 01:19:20,360 --> 01:19:22,799 Speaker 1: some government line at us, you have to tell everyone 1369 01:19:23,280 --> 01:19:30,120 Speaker 1: that Joe Biden and his coterie of oligarchs occupied our 1370 01:19:30,520 --> 01:19:35,320 Speaker 1: capital city for the entire first few months of his administration. 1371 01:19:35,600 --> 01:19:38,680 Speaker 1: They brought in the military, they brought an armed guards 1372 01:19:38,680 --> 01:19:44,240 Speaker 1: and razor wire to establish the Joe Biden administration. What 1373 01:19:44,360 --> 01:19:46,760 Speaker 1: they do with that remains to be seen, But we 1374 01:19:46,920 --> 01:19:50,920 Speaker 1: cannot allow this fact to escape us. This is our city, 1375 01:19:51,040 --> 01:19:54,759 Speaker 1: right Remember last year? Last year, hundreds of cities across 1376 01:19:54,800 --> 01:19:58,000 Speaker 1: the United States saw violence that was higher than any 1377 01:19:58,080 --> 01:20:03,439 Speaker 1: year since the nineteen nineties, homicide and violent crimes massive rise. Right, 1378 01:20:03,840 --> 01:20:06,240 Speaker 1: But in some of those states, we couldn't even get 1379 01:20:06,240 --> 01:20:09,200 Speaker 1: the National Guard. Why because they had democratic governors from California, 1380 01:20:09,240 --> 01:20:12,599 Speaker 1: New York, Pennsylvania, Oregon, no National Guard was called in. 1381 01:20:12,640 --> 01:20:16,000 Speaker 1: Even though these these lootings, these riots, these attacks were 1382 01:20:16,040 --> 01:20:20,280 Speaker 1: taking place night after night Minneapolis and so Minneapolis, they 1383 01:20:20,360 --> 01:20:23,240 Speaker 1: almost burned down the police precinct up there. In Seattle, 1384 01:20:23,479 --> 01:20:26,680 Speaker 1: they took over the armed militants, took over six blocks 1385 01:20:26,760 --> 01:20:29,200 Speaker 1: of an entire of the downtown capital was there at 1386 01:20:29,200 --> 01:20:32,240 Speaker 1: the Chaz right. Yet in DC there was one and 1387 01:20:32,320 --> 01:20:34,760 Speaker 1: albeit yes it was a violent riot that took place, 1388 01:20:34,760 --> 01:20:37,080 Speaker 1: there were a small percentage of people that became violent. 1389 01:20:38,240 --> 01:20:41,320 Speaker 1: Yet they have used that to create the political theater, 1390 01:20:41,439 --> 01:20:44,800 Speaker 1: to remind everyone who has power keeping behind Buck, they 1391 01:20:44,840 --> 01:20:47,479 Speaker 1: know exactly what they're doing here. They are sending a 1392 01:20:47,520 --> 01:20:50,720 Speaker 1: message to each and every American out there that if 1393 01:20:50,760 --> 01:20:55,160 Speaker 1: you dissent, this is what you will get. Jack, what 1394 01:20:55,160 --> 01:20:57,360 Speaker 1: what can you tell us about why we haven't yet 1395 01:20:58,080 --> 01:21:00,479 Speaker 1: and we're speaking of Jack Pisobic of One America News, 1396 01:21:01,040 --> 01:21:04,240 Speaker 1: we haven't yet been able to get an explanation, an 1397 01:21:04,280 --> 01:21:08,400 Speaker 1: official explanation for the death of Officer Brian sickniic I 1398 01:21:08,520 --> 01:21:10,880 Speaker 1: just at what point is it clear this is some 1399 01:21:11,000 --> 01:21:14,840 Speaker 1: kind of this is intentional withholding, and it's because they 1400 01:21:14,840 --> 01:21:17,600 Speaker 1: don't want people to know the truth. Well, but this 1401 01:21:17,680 --> 01:21:20,320 Speaker 1: is part of the two tier justice system that we've 1402 01:21:20,320 --> 01:21:23,240 Speaker 1: been talking about for years. Now Here in the United States, 1403 01:21:23,560 --> 01:21:25,800 Speaker 1: they will use the power of the FBI and their 1404 01:21:25,840 --> 01:21:30,920 Speaker 1: fully pulpit to crowdsource the doxing of maga, grandmas and 1405 01:21:31,040 --> 01:21:34,719 Speaker 1: teenagers who were completely peaceful walking around taking selfies inside 1406 01:21:34,720 --> 01:21:36,680 Speaker 1: the United States Capital. Felt they were on tour. They 1407 01:21:36,680 --> 01:21:39,080 Speaker 1: didn't even break past the velvet ropes. We can all 1408 01:21:39,120 --> 01:21:43,160 Speaker 1: see that. But why haven't we seen any of the footage, 1409 01:21:43,360 --> 01:21:45,840 Speaker 1: the supposed footage that they tell us they have of 1410 01:21:45,840 --> 01:21:49,200 Speaker 1: Officer sick nic Not a single image of that video 1411 01:21:49,240 --> 01:21:51,840 Speaker 1: has come out. They claim there's a suspect now that 1412 01:21:51,920 --> 01:21:54,000 Speaker 1: originally they said it was a fire extinguisher and that 1413 01:21:54,000 --> 01:21:55,200 Speaker 1: he was bashed in the head, and it was this 1414 01:21:55,320 --> 01:21:57,960 Speaker 1: terrible thing. It was brought up in the impeachment trial. 1415 01:21:58,200 --> 01:22:02,040 Speaker 1: It was used to great political theater by Nancy Pelosi, 1416 01:22:02,520 --> 01:22:06,160 Speaker 1: and of course, obviously we we don't want that to happen. 1417 01:22:06,240 --> 01:22:09,880 Speaker 1: We honor his service. But she said she used this 1418 01:22:10,439 --> 01:22:14,480 Speaker 1: as a political weapon against Trump and against Trump supporters. 1419 01:22:14,680 --> 01:22:17,000 Speaker 1: Yet when the actual facts come out, it turns out 1420 01:22:17,040 --> 01:22:19,439 Speaker 1: there was no fire extinguisher. They're now saying that the 1421 01:22:19,680 --> 01:22:21,439 Speaker 1: latest theory is that he had a bad reaction to 1422 01:22:21,520 --> 01:22:24,760 Speaker 1: some bear spray. They say there's footage of an individual 1423 01:22:24,800 --> 01:22:28,360 Speaker 1: spraying bear spray, and yet they won't release that footage. Instead, 1424 01:22:28,400 --> 01:22:31,720 Speaker 1: the FBI is going around to Maga Granad moms who 1425 01:22:31,800 --> 01:22:34,280 Speaker 1: many of them didn't even go into the Capitol, and 1426 01:22:34,439 --> 01:22:39,000 Speaker 1: if they did, we're doing so peacefully. Buck again, the government, 1427 01:22:39,280 --> 01:22:44,599 Speaker 1: the establishment is sending everyone a message, Jack Posobic everybody 1428 01:22:44,680 --> 01:22:48,679 Speaker 1: one American news network. Go check out Jack's latest there 1429 01:22:49,120 --> 01:22:52,880 Speaker 1: and Jackman, stay safe, watch out, watch out for those 1430 01:22:53,080 --> 01:22:55,920 Speaker 1: crazy unsurrectionists on the streets at DC. You take care 1431 01:22:55,920 --> 01:22:57,800 Speaker 1: of yourself, all right. I think I see a pigeon. 1432 01:22:57,800 --> 01:23:00,759 Speaker 1: Hold on, I gotta go. In order to open these stores, 1433 01:23:00,960 --> 01:23:05,959 Speaker 1: we do not say open sesame. We say open Biden. 1434 01:23:06,560 --> 01:23:14,639 Speaker 1: That's our magic word for open Biden. I love it. Ope, Ope, 1435 01:23:15,680 --> 01:23:23,960 Speaker 1: open Biden. You know what the stars, guys, Nancy Pelosi 1436 01:23:24,000 --> 01:23:28,200 Speaker 1: and Joe Biden are the two most powerful Democrats in 1437 01:23:28,240 --> 01:23:32,320 Speaker 1: the United States of America and Nancy Pelosi and Joe 1438 01:23:32,360 --> 01:23:38,360 Speaker 1: Biden are too old to be doing this. Okay, there there, there, 1439 01:23:38,360 --> 01:23:43,639 Speaker 1: there is a life cycle, there's a clock, there's a look. 1440 01:23:43,640 --> 01:23:45,439 Speaker 1: It's one of the reasons why I'm concerned about Trump 1441 01:23:45,479 --> 01:23:47,960 Speaker 1: even I've been running at you know, running at seventy seven, 1442 01:23:48,040 --> 01:23:51,680 Speaker 1: seventy eight years old for president, and what are we 1443 01:23:51,720 --> 01:23:53,920 Speaker 1: gonna start having people running in their mid eighties? Get 1444 01:23:53,960 --> 01:23:56,360 Speaker 1: We're gonna elect somebody to be president when they're ninety. 1445 01:23:57,479 --> 01:23:59,160 Speaker 1: Is that really where we're heading with all this? Anyway? 1446 01:23:59,160 --> 01:24:03,600 Speaker 1: I mean, just you know, Nancy Pelosi. Democrats pretend to 1447 01:24:03,600 --> 01:24:06,120 Speaker 1: be serious people that think through things, and then then 1448 01:24:06,160 --> 01:24:08,160 Speaker 1: then they have Nancy Pelosi as a Speaker of the House. 1449 01:24:09,200 --> 01:24:11,200 Speaker 1: I just can't let that go. It's not something that 1450 01:24:11,280 --> 01:24:14,080 Speaker 1: I'm able to speak speaking of people who are too 1451 01:24:14,120 --> 01:24:18,040 Speaker 1: old for the job. Here's here's the birth Bernie Sands. 1452 01:24:18,080 --> 01:24:21,360 Speaker 1: It's been a long time. We haven't heard from mister 1453 01:24:21,560 --> 01:24:26,000 Speaker 1: Bernie Sanders in a very long time. He has not 1454 01:24:26,280 --> 01:24:30,439 Speaker 1: really fully come forward to tell us what he has 1455 01:24:30,439 --> 01:24:33,439 Speaker 1: been up to. We are missing the burn. The burn 1456 01:24:33,760 --> 01:24:37,600 Speaker 1: should be with us more because he's a socialist and 1457 01:24:37,720 --> 01:24:42,759 Speaker 1: write out Democrats are pushing for their socialism without everybody 1458 01:24:42,960 --> 01:24:48,240 Speaker 1: actually saying what it is. Bernie is upfront about it here. 1459 01:24:48,280 --> 01:24:52,679 Speaker 1: He is play sixteen. He got young people who want 1460 01:24:52,720 --> 01:24:55,080 Speaker 1: to go to school, want to socialize, want to date, 1461 01:24:55,160 --> 01:24:57,840 Speaker 1: want to do things that young people do, and they 1462 01:24:57,880 --> 01:24:59,720 Speaker 1: can't do it. And I've been unable to do that 1463 01:25:00,760 --> 01:25:03,400 Speaker 1: for the last year, and that has resulted in a 1464 01:25:03,640 --> 01:25:07,960 Speaker 1: very sharp increase in mental illness in this country. Something 1465 01:25:08,000 --> 01:25:12,120 Speaker 1: by the way that this legislation also deals with. Bernie's 1466 01:25:12,240 --> 01:25:17,960 Speaker 1: right about the dangers and the problems of the lockdown 1467 01:25:18,040 --> 01:25:20,320 Speaker 1: is what it's done to people. But you know that 1468 01:25:20,720 --> 01:25:24,080 Speaker 1: this COVID bill is not actually going to solve all 1469 01:25:24,120 --> 01:25:26,479 Speaker 1: of this, as we know that. But they're using it 1470 01:25:26,520 --> 01:25:29,200 Speaker 1: and they're exploiting it, as we know they do with everything. 1471 01:25:29,680 --> 01:25:32,080 Speaker 1: And it's just so it's so disappointed. You'd think that 1472 01:25:32,160 --> 01:25:35,160 Speaker 1: during a global pandemic, some of the more partisan impulses 1473 01:25:35,160 --> 01:25:37,200 Speaker 1: of the left could at least be I know they 1474 01:25:37,200 --> 01:25:40,040 Speaker 1: would never be gone, but they would at least be 1475 01:25:40,040 --> 01:25:44,839 Speaker 1: downplayed a bit. But that has certainly not, certainly not happened. 1476 01:25:45,240 --> 01:25:51,080 Speaker 1: In fact of anything, it ignites, it exacerbates extreme partisanship. 1477 01:25:51,160 --> 01:25:53,640 Speaker 1: Partisanship in the Democrat mine. One one story that I 1478 01:25:53,680 --> 01:25:55,559 Speaker 1: want you to start to think about, because it's going 1479 01:25:55,640 --> 01:25:57,280 Speaker 1: to be a big story we're talking about here in 1480 01:25:57,320 --> 01:26:01,320 Speaker 1: the weeks ahead on the show Minneapolis. I know we've 1481 01:26:01,360 --> 01:26:03,720 Speaker 1: got We've got a great audience up in Minneapolis on 1482 01:26:03,760 --> 01:26:05,799 Speaker 1: the Buck Sexton Show, So thank you all for listening. 1483 01:26:06,840 --> 01:26:11,479 Speaker 1: Minneapolis spends more than one million dollars on barricades ahead 1484 01:26:11,479 --> 01:26:13,920 Speaker 1: of the Derek Chauvin trial next week. Order the Daily 1485 01:26:13,920 --> 01:26:15,920 Speaker 1: Bail here the Derek Chauvin trial for the murder of 1486 01:26:15,920 --> 01:26:22,080 Speaker 1: George Floyd. Businesses are terrified and rightly show of what's 1487 01:26:22,080 --> 01:26:24,559 Speaker 1: going to happen. Here's what the Daily Wires, sorry, the 1488 01:26:24,680 --> 01:26:28,040 Speaker 1: Daily Mail is reporting. Barbed wire and metal barricades have 1489 01:26:28,040 --> 01:26:31,880 Speaker 1: been erected around the Hennepin County Courthouse, where Chauvin's murder 1490 01:26:31,920 --> 01:26:36,679 Speaker 1: trial is set to start this Monday with jury selection. City, state, 1491 01:26:36,720 --> 01:26:40,479 Speaker 1: and federal leaders have had been holding security briefings dubbed 1492 01:26:40,560 --> 01:26:44,879 Speaker 1: Operations Safety Net. The multi agency security plan includes closures 1493 01:26:44,920 --> 01:26:47,759 Speaker 1: of certain public buildings and streets, and extra security cops 1494 01:26:47,760 --> 01:26:51,240 Speaker 1: and National Guard deployed. Small business owners are boarding up 1495 01:26:51,240 --> 01:26:54,800 Speaker 1: their windows, erecting fencing. Coalition of seventeen activist groups have 1496 01:26:54,880 --> 01:26:58,000 Speaker 1: vowed to stage a peaceful protest Monday and throughout the trial. 1497 01:26:58,040 --> 01:27:00,800 Speaker 1: We'll see how peaceful it is. Some city officials are 1498 01:27:00,840 --> 01:27:03,439 Speaker 1: concerned about where this is going to go. A billion 1499 01:27:03,520 --> 01:27:07,560 Speaker 1: dollars worth of damage and fifteen hundred businesses in Minneapolis 1500 01:27:07,640 --> 01:27:11,599 Speaker 1: during the BLM riots before we're impacted, Thenapolis, I'm praying 1501 01:27:11,640 --> 01:27:17,200 Speaker 1: for you, but batting down the hatches Rock and roll, 1502 01:27:17,320 --> 01:27:32,840 Speaker 1: fellow patriots, It's time for Roll Call Facebook dot com, 1503 01:27:32,880 --> 01:27:37,320 Speaker 1: slash Buck sex in tembuck at iHeartMedia dot com. If 1504 01:27:37,360 --> 01:27:38,880 Speaker 1: you want to get in on all the latest on 1505 01:27:38,920 --> 01:27:40,639 Speaker 1: the Roll Call, we gotta check in with our buddy 1506 01:27:40,760 --> 01:27:44,000 Speaker 1: producer Mark. What words are wisdom? Do you have for 1507 01:27:44,040 --> 01:27:46,559 Speaker 1: us today? What are you doing this weekend? I'm actually 1508 01:27:46,560 --> 01:27:51,559 Speaker 1: going to get a vaccine tomorrow. What yeah? Really? Appointment? 1509 01:27:52,160 --> 01:27:55,439 Speaker 1: How I got lucky? I saw somewhere on Twitter that 1510 01:27:55,479 --> 01:27:57,559 Speaker 1: there were appointments and it was for the Johnson and 1511 01:27:57,640 --> 01:28:00,320 Speaker 1: Johnson one, so only one shot. I'm going to the 1512 01:28:00,360 --> 01:28:03,160 Speaker 1: Javits Center tomorrow. They're doing twenty four seven, so I'm 1513 01:28:03,160 --> 01:28:05,639 Speaker 1: going a little after midnight. I'd rather go then when 1514 01:28:05,640 --> 01:28:10,280 Speaker 1: there's probably not as big of a line. Wow, good 1515 01:28:10,320 --> 01:28:15,599 Speaker 1: for you, producer, Mark gonna be like a super superman 1516 01:28:15,640 --> 01:28:17,559 Speaker 1: after this, I can I can you know if I 1517 01:28:17,600 --> 01:28:19,200 Speaker 1: cough in your general Well, I haven't seen you in 1518 01:28:19,200 --> 01:28:21,280 Speaker 1: a year, so I haven't if I cough in my 1519 01:28:21,360 --> 01:28:24,880 Speaker 1: general direction, even if I am vaccinative. It's disgusting, but 1520 01:28:25,080 --> 01:28:26,720 Speaker 1: that's true. But if I were to cough right now 1521 01:28:26,720 --> 01:28:29,200 Speaker 1: in your general direction, that would have to be a 1522 01:28:29,280 --> 01:28:34,040 Speaker 1: superhuman cough to hit you that that that spittle would 1523 01:28:34,080 --> 01:28:36,639 Speaker 1: have to go I don't know, probably about ten miles. Yeah, 1524 01:28:36,720 --> 01:28:39,120 Speaker 1: you'd have to cross a river. I mean, I got 1525 01:28:39,160 --> 01:28:41,080 Speaker 1: pipes because I do radio every day. But that's a 1526 01:28:41,160 --> 01:28:44,439 Speaker 1: real like that's some Yeah, that's like a heat seeking missile. 1527 01:28:44,520 --> 01:28:47,160 Speaker 1: That that's a jay damn of spit. I don't think 1528 01:28:47,160 --> 01:28:49,599 Speaker 1: i'd be able to do that. Yeah, I don't think 1529 01:28:49,640 --> 01:28:51,840 Speaker 1: that'll work. Well. Good for you though, with get with 1530 01:28:51,840 --> 01:28:54,439 Speaker 1: getting the appoyment, get it done. Um any any other 1531 01:28:54,439 --> 01:28:56,479 Speaker 1: fun plans you will missus? Mark? Got anything on the books? 1532 01:28:56,640 --> 01:28:58,639 Speaker 1: Oh no, nothing really fun, Just a lot of packing. 1533 01:28:59,400 --> 01:29:02,720 Speaker 1: Moving soon? So oh how soon are you moving? End 1534 01:29:02,720 --> 01:29:07,040 Speaker 1: of April? No? Wow? Okay, So would we like to 1535 01:29:07,040 --> 01:29:09,200 Speaker 1: pack a little early? I know you would. You haven't yet, 1536 01:29:09,240 --> 01:29:11,640 Speaker 1: You haven't yet finalized where you're going right, No, not 1537 01:29:11,720 --> 01:29:14,559 Speaker 1: yet somewhere on Long Island had a little the issue 1538 01:29:14,560 --> 01:29:16,599 Speaker 1: with the condo that we tried to buy, so we're 1539 01:29:16,920 --> 01:29:19,960 Speaker 1: still trying to figure stuff out. Isn't an amazing how 1540 01:29:20,080 --> 01:29:23,160 Speaker 1: much paperwork and stuff is involved in these things, you know, 1541 01:29:23,400 --> 01:29:26,599 Speaker 1: you signed your life away. You just it's just so much, 1542 01:29:26,800 --> 01:29:29,240 Speaker 1: and you're always thinking like what do I and you know, 1543 01:29:29,400 --> 01:29:31,200 Speaker 1: you go through his paperwork and then all it takes 1544 01:29:31,200 --> 01:29:32,960 Speaker 1: is one annoying neighbor and you're like, God, I wish 1545 01:29:33,000 --> 01:29:35,960 Speaker 1: I hadn't moved here in the first place. So, yeah, 1546 01:29:36,000 --> 01:29:38,840 Speaker 1: I've heard of hoa horror stories, which is something that 1547 01:29:39,240 --> 01:29:42,479 Speaker 1: you have to deal with with a condo. Yeah, I know. 1548 01:29:42,960 --> 01:29:46,160 Speaker 1: Oh gosh, well that's exciting though moving out to the 1549 01:29:46,600 --> 01:29:48,960 Speaker 1: island of Strong known as Strong Island, that'll be fun. 1550 01:29:49,439 --> 01:29:51,519 Speaker 1: Not the first time I've lived there, so yeah, yeah, 1551 01:29:51,560 --> 01:29:55,040 Speaker 1: I know, you're a Strong Island guy, Brucer Marks Queen's guy. 1552 01:29:55,040 --> 01:29:59,240 Speaker 1: Hold on, Yeah, but we're really talking about the geographic 1553 01:29:59,320 --> 01:30:01,800 Speaker 1: landmasks Long Island, though Queens is technically a part of 1554 01:30:01,840 --> 01:30:05,800 Speaker 1: Long Island. Cake, but it's not you know, you know, 1555 01:30:05,920 --> 01:30:07,400 Speaker 1: I gotta do it, I gotta do it with with 1556 01:30:07,439 --> 01:30:09,919 Speaker 1: our our buddy Ryan grew dusky. I saw him recently 1557 01:30:10,400 --> 01:30:12,320 Speaker 1: and uh, and I was making fun of him because 1558 01:30:12,320 --> 01:30:14,200 Speaker 1: he kept saying he's from New York. And I was like, Bryan, 1559 01:30:14,280 --> 01:30:16,559 Speaker 1: I mean, Ryan, you're You're not from New York, You're 1560 01:30:16,560 --> 01:30:22,000 Speaker 1: from Queens. He ated that. Yeah, that is just offensive, yeah, 1561 01:30:22,120 --> 01:30:24,000 Speaker 1: said he said. He was like, he was like, how 1562 01:30:24,120 --> 01:30:25,800 Speaker 1: dare you, sir? I was like, look, I'm just I'm 1563 01:30:25,840 --> 01:30:27,920 Speaker 1: just calling it like I see it. I'm taking the 1564 01:30:27,960 --> 01:30:30,840 Speaker 1: snow Princess out this weekend. We're gonna get some Mexican food. 1565 01:30:30,840 --> 01:30:33,519 Speaker 1: Because for me, that's like if if I'm just going, 1566 01:30:33,520 --> 01:30:35,280 Speaker 1: if I'm gonna really you know, get an in a 1567 01:30:35,400 --> 01:30:37,680 Speaker 1: festive mood. Mexican food really does it for me. I 1568 01:30:37,760 --> 01:30:39,360 Speaker 1: like it. So I'm taking the snow Princess out. We're 1569 01:30:39,360 --> 01:30:44,920 Speaker 1: gonna grabetive. Yeah, I get festive. Do you like wear sobrero? No, 1570 01:30:45,040 --> 01:30:50,160 Speaker 1: not like that, sir. I do not culturally appropriate Mexican culture. 1571 01:30:50,200 --> 01:30:54,280 Speaker 1: I just eat their food. Good heavens, Good heavens. Sounded 1572 01:30:54,320 --> 01:30:56,719 Speaker 1: like you wanted to get festive. Well, I just spent, 1573 01:30:56,800 --> 01:30:58,639 Speaker 1: you know, in general, like if I have a couple 1574 01:30:58,800 --> 01:31:00,800 Speaker 1: a couple of margaritas, you know, I'm gonna I'm gonna 1575 01:31:00,800 --> 01:31:03,479 Speaker 1: get after it a little bit. Disagree is one of 1576 01:31:03,520 --> 01:31:05,320 Speaker 1: my favorite producer Mark. Now, we don't have to, we 1577 01:31:05,320 --> 01:31:06,960 Speaker 1: don't have to, you know, go there, but we both 1578 01:31:07,000 --> 01:31:09,840 Speaker 1: know that finding a sombrero that would fit my head 1579 01:31:10,280 --> 01:31:12,840 Speaker 1: would also. I'd have to get a special order sombrero. 1580 01:31:13,080 --> 01:31:15,080 Speaker 1: I don't even know if that's possible. You'd have to 1581 01:31:15,080 --> 01:31:17,120 Speaker 1: get one of those novelty ones you see in those 1582 01:31:17,160 --> 01:31:18,960 Speaker 1: like shops when you're on vacation. Yeah, I would have 1583 01:31:19,000 --> 01:31:20,960 Speaker 1: to wear the sombrero that other people wear, the where 1584 01:31:21,000 --> 01:31:23,560 Speaker 1: they have like the giant like fuzzy finger kind of 1585 01:31:23,560 --> 01:31:26,439 Speaker 1: a thing, like it's intentionally too big. I'd have to 1586 01:31:26,479 --> 01:31:28,600 Speaker 1: get that sombrero. And even then, I'm not sure it 1587 01:31:28,640 --> 01:31:31,559 Speaker 1: would really fit. You know, I do have my special 1588 01:31:32,160 --> 01:31:35,760 Speaker 1: my special sized hat now. So I finally, after so 1589 01:31:35,800 --> 01:31:38,840 Speaker 1: many years of adulthood, I finally have a baseball cap 1590 01:31:39,280 --> 01:31:42,360 Speaker 1: that fits normally over my head because I found an 1591 01:31:42,360 --> 01:31:46,439 Speaker 1: internet site with the'll make hats for people with giant noggins. Well, 1592 01:31:46,479 --> 01:31:50,439 Speaker 1: it's just a baseball cap. Yeah, it's like white, white 1593 01:31:50,439 --> 01:31:53,920 Speaker 1: and like navy blue hat. That's what I have. Yeah, 1594 01:31:53,920 --> 01:31:55,439 Speaker 1: because I don't think they I don't think they can. 1595 01:31:55,479 --> 01:31:58,000 Speaker 1: They don't pay them. You know, you have to, like, 1596 01:31:58,000 --> 01:32:00,640 Speaker 1: if you're gonna wear a Mets hat, like that's Mets merchandise, 1597 01:32:00,720 --> 01:32:03,080 Speaker 1: technically you gotta. So this is just like we will 1598 01:32:03,080 --> 01:32:06,519 Speaker 1: make you a hat, large head person, and that's what 1599 01:32:06,680 --> 01:32:09,080 Speaker 1: I am, so good thing. I'm not trying to buy 1600 01:32:09,080 --> 01:32:10,400 Speaker 1: you a methat. I don't even know if I've been 1601 01:32:10,400 --> 01:32:12,640 Speaker 1: able to find that size. Yeah, I had to go 1602 01:32:12,680 --> 01:32:16,400 Speaker 1: to you know, big big bigheadhat dot com or something 1603 01:32:16,560 --> 01:32:20,679 Speaker 1: size would you be like in a fitted hat proson 1604 01:32:20,760 --> 01:32:22,960 Speaker 1: marked weirdly have to go it doesn't exist, buddy, I'm 1605 01:32:22,960 --> 01:32:25,880 Speaker 1: just curious. I'm the I'm the I go into a 1606 01:32:25,880 --> 01:32:27,800 Speaker 1: fitted hat store. Kid. This is to happen when I 1607 01:32:27,840 --> 01:32:30,320 Speaker 1: was younger too, and I'm like, excu smith, sir, I 1608 01:32:30,320 --> 01:32:32,320 Speaker 1: would like to buy a baseball hat so I can 1609 01:32:32,400 --> 01:32:34,680 Speaker 1: look cool like all the rest of my peers. And 1610 01:32:34,720 --> 01:32:36,400 Speaker 1: they're like, all right, young man. They like try to 1611 01:32:36,400 --> 01:32:38,040 Speaker 1: like you know, They're like here you go, and I'm like, yes, 1612 01:32:38,400 --> 01:32:40,400 Speaker 1: I want a Yankees hat. Don't make fun of me. 1613 01:32:40,600 --> 01:32:42,519 Speaker 1: I want a Yankees hat. And I would try to 1614 01:32:42,520 --> 01:32:44,639 Speaker 1: put it on and they're like it doesn't really fit. 1615 01:32:44,720 --> 01:32:46,040 Speaker 1: And then they try to, and I'm like, you're not 1616 01:32:46,040 --> 01:32:48,400 Speaker 1: actually gonna make my skull smaller. It's not gonna happen. 1617 01:32:48,439 --> 01:32:50,240 Speaker 1: So they would try to pull it down over my 1618 01:32:50,320 --> 01:32:52,880 Speaker 1: head and it wouldn't work, and then I'd feel sad. 1619 01:32:53,400 --> 01:32:55,599 Speaker 1: And then there was the sadness because I wasn't normal 1620 01:32:55,640 --> 01:32:58,120 Speaker 1: because my head was too big. So I think I 1621 01:32:58,120 --> 01:32:59,720 Speaker 1: told you this true story. I had to when I 1622 01:32:59,720 --> 01:33:02,280 Speaker 1: was a baby. This is this is actually real. I'm 1623 01:33:02,320 --> 01:33:05,439 Speaker 1: not I'm not even kidding. When I'm a baby, uh 1624 01:33:05,479 --> 01:33:09,040 Speaker 1: my mom had to at the pediatrician's um you know, 1625 01:33:09,200 --> 01:33:14,240 Speaker 1: advice or whatever. Pediatrician's orders. I had to come in 1626 01:33:14,280 --> 01:33:16,800 Speaker 1: i think every like three weeks or four weeks for 1627 01:33:16,840 --> 01:33:19,559 Speaker 1: the first six months, and they took a tape measure 1628 01:33:19,600 --> 01:33:22,439 Speaker 1: around my head because my head was just on the 1629 01:33:22,479 --> 01:33:25,719 Speaker 1: borderline of being so big that they were like, maybe 1630 01:33:25,720 --> 01:33:27,559 Speaker 1: there's a problem and they might have to like drain 1631 01:33:27,600 --> 01:33:29,639 Speaker 1: fluid or something. That's how big my head was. Your 1632 01:33:29,680 --> 01:33:32,600 Speaker 1: poor mother, Yeah, yeah, yeah, yeah, So we had to 1633 01:33:32,640 --> 01:33:34,280 Speaker 1: go in and do a tape measure around my head. 1634 01:33:34,320 --> 01:33:38,320 Speaker 1: But I was I was always yes, all right, you jerk, 1635 01:33:38,680 --> 01:33:41,599 Speaker 1: but but I will tell you you, oh, I always 1636 01:33:41,800 --> 01:33:46,160 Speaker 1: was technically normal. Like I was ninety eighth percentile, but 1637 01:33:46,240 --> 01:33:49,840 Speaker 1: I was always technically normal for for for a headsize, 1638 01:33:49,880 --> 01:33:52,719 Speaker 1: so you know, so you can't I wasn't a weird 1639 01:33:52,760 --> 01:33:55,679 Speaker 1: oh okay, but I was pretty close. All right, Let's 1640 01:33:55,680 --> 01:33:58,400 Speaker 1: get into what the folks think about all this. He 1641 01:33:58,439 --> 01:34:00,760 Speaker 1: can write into emails until produce mark. He's being a 1642 01:34:00,760 --> 01:34:04,599 Speaker 1: big meanie Mike Buck. As a Mississippi resident, I've been 1643 01:34:04,640 --> 01:34:07,960 Speaker 1: critical of our governor's handling of the Wuhan flu and 1644 01:34:08,040 --> 01:34:11,280 Speaker 1: give him little to no credit for reopening. My gut 1645 01:34:11,320 --> 01:34:13,840 Speaker 1: instinct is that he's only reopening now because he's hoping 1646 01:34:13,880 --> 01:34:16,560 Speaker 1: he can prevent a primary challenge when he's up for reelection. 1647 01:34:17,000 --> 01:34:20,080 Speaker 1: There's been significant criticism of him by other Republicans in 1648 01:34:20,120 --> 01:34:23,720 Speaker 1: the state, and he was a really weak rhino that 1649 01:34:23,840 --> 01:34:26,679 Speaker 1: was lucky to win in his first term. Still, I'm 1650 01:34:26,720 --> 01:34:33,639 Speaker 1: thankful some of the forest will be ending here Shields high. Yeah, yeah, 1651 01:34:33,680 --> 01:34:39,040 Speaker 1: I think I gotta tell you, I think this is 1652 01:34:39,040 --> 01:34:41,600 Speaker 1: something that I didn't really I was. I've told you this. 1653 01:34:41,680 --> 01:34:45,240 Speaker 1: I get so happy at the notion of reopened. I'm 1654 01:34:45,280 --> 01:34:50,720 Speaker 1: so enthusiastic about reopen that I didn't Usually I'm very 1655 01:34:50,920 --> 01:34:52,720 Speaker 1: I don't like to say that I'm cynical, but I 1656 01:34:52,960 --> 01:34:56,439 Speaker 1: a I take a hyper realistic view of things. That's 1657 01:34:56,479 --> 01:35:00,760 Speaker 1: just my That's how I view everything, personal relationship, professional, 1658 01:35:01,040 --> 01:35:05,160 Speaker 1: world politics. I'm just I'm hyper realistic and it can 1659 01:35:05,200 --> 01:35:08,640 Speaker 1: be very useful for being correct, but you know, it 1660 01:35:08,720 --> 01:35:12,160 Speaker 1: also means that sometimes maybe you come across as a 1661 01:35:12,200 --> 01:35:16,760 Speaker 1: little bit cynical or a little bit Judgmentalum. On this one, 1662 01:35:16,840 --> 01:35:19,200 Speaker 1: I got a little I got a little romanticize, like Yay, 1663 01:35:19,240 --> 01:35:23,360 Speaker 1: Mississippi and Texas are opening, and and then it's like, uh, 1664 01:35:23,600 --> 01:35:25,120 Speaker 1: but they're not really up. But you know, the day 1665 01:35:25,120 --> 01:35:26,720 Speaker 1: a day later, I had to be you know, the 1666 01:35:26,800 --> 01:35:29,000 Speaker 1: usual buck had to kick in, as they are right, 1667 01:35:29,439 --> 01:35:32,600 Speaker 1: they're not really reopening. They're not really doing what they 1668 01:35:32,600 --> 01:35:36,120 Speaker 1: said they're gonna do. So that's gotta gotta keep that 1669 01:35:36,160 --> 01:35:39,840 Speaker 1: in mind. That's where where this also is. Um. I mean, 1670 01:35:39,880 --> 01:35:42,080 Speaker 1: they're really look it matters. I mean I was right 1671 01:35:42,120 --> 01:35:44,240 Speaker 1: to be happy about the policy. I'm not saying that, 1672 01:35:44,840 --> 01:35:49,599 Speaker 1: but there were other factors I involved in the Texas 1673 01:35:49,600 --> 01:35:53,719 Speaker 1: and Mississippi decisions. And Governor Reeves from what I just said, 1674 01:35:53,720 --> 01:35:55,920 Speaker 1: people have said he's really not been good on this. 1675 01:35:56,000 --> 01:35:58,080 Speaker 1: I know, Governor Abbott hasn't been good on this all long, 1676 01:35:58,760 --> 01:36:02,000 Speaker 1: So Mike, very very very fair points man. And by 1677 01:36:02,000 --> 01:36:03,400 Speaker 1: the way, I'm with you. I'm still I'm thankful that 1678 01:36:03,439 --> 01:36:05,120 Speaker 1: some of the forests will be ending here. You wrote, 1679 01:36:05,360 --> 01:36:07,720 Speaker 1: that's where I I just wanted to stop, right, I 1680 01:36:07,760 --> 01:36:11,679 Speaker 1: just want the madness to stop. Alex rights heybucking Mark. 1681 01:36:12,439 --> 01:36:14,400 Speaker 1: As a fellow New Yorker, I'm tired of everyone beating 1682 01:36:14,439 --> 01:36:16,840 Speaker 1: up on the Big Apple. Like you, I love New 1683 01:36:16,880 --> 01:36:18,719 Speaker 1: York City, even though we're going through a rough patch. 1684 01:36:19,000 --> 01:36:21,800 Speaker 1: The city has been knocked down before and has always rebounded. 1685 01:36:22,520 --> 01:36:24,320 Speaker 1: My wife and I are currently in the process of 1686 01:36:24,320 --> 01:36:26,960 Speaker 1: buying a place in Chelsea. I'm putting my money where 1687 01:36:26,960 --> 01:36:28,720 Speaker 1: my mouth is and placing a bet on New York 1688 01:36:28,760 --> 01:36:32,240 Speaker 1: City's triumphant return. If everyone bails, the place will definitely 1689 01:36:32,280 --> 01:36:34,680 Speaker 1: go down in flames. Let's keep our shields high and 1690 01:36:34,680 --> 01:36:37,200 Speaker 1: protect New York City. Love the show. I listen every 1691 01:36:37,280 --> 01:36:39,960 Speaker 1: day and never miss a chance to pass the buck. Alex, 1692 01:36:40,000 --> 01:36:42,760 Speaker 1: thank you so much and appreciate your support. And it's 1693 01:36:42,800 --> 01:36:47,360 Speaker 1: good to have other sound thinkers here in New York City. 1694 01:36:47,560 --> 01:36:51,479 Speaker 1: And yeah, look, I mean I love New York I've 1695 01:36:51,560 --> 01:36:53,240 Speaker 1: been a New Yorker my whole life, and I've been 1696 01:36:53,280 --> 01:36:55,920 Speaker 1: somebody who defended this place for years and years when 1697 01:36:55,920 --> 01:36:58,720 Speaker 1: everyone's telling me to leave and everything else. It just 1698 01:36:58,920 --> 01:37:01,880 Speaker 1: has been so hard to like this place. With the 1699 01:37:01,920 --> 01:37:05,240 Speaker 1: taxes and the nonsense and the craziness that's been going on. 1700 01:37:05,920 --> 01:37:10,719 Speaker 1: It's been a real challenge. And you know, I think 1701 01:37:11,640 --> 01:37:15,439 Speaker 1: I'm hopeful that it comes back sooner than even I 1702 01:37:15,439 --> 01:37:18,439 Speaker 1: would anticipate. So Alex, I hear you on all that, 1703 01:37:18,520 --> 01:37:22,000 Speaker 1: and I would like the city to go back to 1704 01:37:22,040 --> 01:37:26,200 Speaker 1: what it was. New York used to be special enough 1705 01:37:26,920 --> 01:37:30,200 Speaker 1: that even with all the downside, I never question why 1706 01:37:30,240 --> 01:37:33,040 Speaker 1: I was living here. This last year has been the 1707 01:37:33,040 --> 01:37:36,080 Speaker 1: first time where I really felt like it wasn't the 1708 01:37:36,120 --> 01:37:39,040 Speaker 1: tradeoff wasn't worth it. You know. Maybe it's like if 1709 01:37:39,280 --> 01:37:41,960 Speaker 1: you're in your personal relationships with personal life, maybe some 1710 01:37:42,040 --> 01:37:44,439 Speaker 1: of you have dated somebody, you know, before you're married, 1711 01:37:44,680 --> 01:37:48,960 Speaker 1: you dated somebody who you always felt like, well, maybe 1712 01:37:48,960 --> 01:37:51,400 Speaker 1: they've got this shortcoming or that shortcoming, but there's one 1713 01:37:51,439 --> 01:37:53,800 Speaker 1: thing about them. For some of the guys, it might 1714 01:37:53,840 --> 01:37:56,080 Speaker 1: be she's really hot. For some of the girls, it 1715 01:37:56,160 --> 01:37:58,559 Speaker 1: might be, you know, he's really funny or whatever, right, 1716 01:37:59,040 --> 01:38:01,679 Speaker 1: but there was something that overcame whatever your qualms were 1717 01:38:02,120 --> 01:38:04,960 Speaker 1: for me. It's like this year in New York City 1718 01:38:05,000 --> 01:38:06,640 Speaker 1: was the first time looking at my relationship in New 1719 01:38:06,720 --> 01:38:08,439 Speaker 1: York City. I thought, I don't know, I don't know 1720 01:38:08,479 --> 01:38:10,720 Speaker 1: if I don't know if you're pulling your weight in 1721 01:38:10,760 --> 01:38:12,439 Speaker 1: this relationship New York. You know, I don't I don't 1722 01:38:12,439 --> 01:38:15,200 Speaker 1: know if you're really getting it done anymore. So I 1723 01:38:15,240 --> 01:38:18,519 Speaker 1: hope that that changes, you know, I hope that that changes, 1724 01:38:19,479 --> 01:38:23,040 Speaker 1: John Buck, I heard a few nights ago you like chinchillas, 1725 01:38:23,720 --> 01:38:25,639 Speaker 1: and I thought that if you wanted one, you can 1726 01:38:25,680 --> 01:38:28,720 Speaker 1: train them to become more diurnal. If you want a 1727 01:38:28,720 --> 01:38:32,720 Speaker 1: small critter, you can adapt to your schedule. A ferret 1728 01:38:32,800 --> 01:38:34,960 Speaker 1: is ideal as they will adjust to you and they 1729 01:38:34,960 --> 01:38:39,400 Speaker 1: sleep eighteen hours a day. So John, you know, ferrets 1730 01:38:39,400 --> 01:38:43,200 Speaker 1: are actually a surprisingly popular pet that I've read. I 1731 01:38:43,280 --> 01:38:45,679 Speaker 1: don't think you're allowed to have them in New York City. 1732 01:38:46,439 --> 01:38:50,720 Speaker 1: And I also there's something about a ferret that's I 1733 01:38:50,760 --> 01:38:53,400 Speaker 1: would always be worried it's and this is just I know, 1734 01:38:53,479 --> 01:38:56,160 Speaker 1: maybe this is my anti ferret bias coming out. You know, 1735 01:38:56,240 --> 01:38:57,880 Speaker 1: did you know that was a thing, Producer Mark, Because 1736 01:38:57,920 --> 01:39:00,439 Speaker 1: I just came up with a term that's new. Yeah, 1737 01:39:00,520 --> 01:39:05,640 Speaker 1: new anti ferret bias is that I always feel like 1738 01:39:05,640 --> 01:39:08,599 Speaker 1: a ferret is gonna bite me. There's something about them, 1739 01:39:08,600 --> 01:39:11,759 Speaker 1: maybe because they're, you know, a weasel or related to weasels, 1740 01:39:12,240 --> 01:39:14,840 Speaker 1: and and I just feel like a ferret's gonna bite me. 1741 01:39:14,960 --> 01:39:17,799 Speaker 1: I don't know what it is. Um. So you're saying 1742 01:39:17,960 --> 01:39:21,000 Speaker 1: you'd rather have things like an otter in your home 1743 01:39:21,680 --> 01:39:24,559 Speaker 1: or a fox, and you're not worried about them biting 1744 01:39:24,600 --> 01:39:28,759 Speaker 1: you or anything, but a ferret is you're lying. Yeah, really, 1745 01:39:29,160 --> 01:39:31,360 Speaker 1: an otter is not gonna bite you, dude. They're always 1746 01:39:31,439 --> 01:39:35,840 Speaker 1: chilling on their back, cracking open mollusks. Otter the otter. 1747 01:39:35,920 --> 01:39:38,479 Speaker 1: But a fox, no fox is a little that. I'm 1748 01:39:38,520 --> 01:39:41,960 Speaker 1: a little crazy on that one. Yeah. Debrah aka snow 1749 01:39:41,960 --> 01:39:44,120 Speaker 1: Princess actually pulled up a photo on her phone of 1750 01:39:44,160 --> 01:39:47,320 Speaker 1: what a fox's teeth looked like, and they are. They 1751 01:39:47,360 --> 01:39:51,320 Speaker 1: have like, uh like canines that are super long and 1752 01:39:51,360 --> 01:39:54,920 Speaker 1: sharp and look like razor blades. So like, yes, technically 1753 01:39:55,000 --> 01:39:58,280 Speaker 1: that's probably not. But I mean otter looks like it's 1754 01:39:58,280 --> 01:40:01,000 Speaker 1: just smoked a blunt or something. He's on his back, 1755 01:40:01,120 --> 01:40:04,400 Speaker 1: he's chilling. Otters. Every photo look out of an otter. 1756 01:40:04,479 --> 01:40:07,360 Speaker 1: It looks like they're cracking open a can of pringles 1757 01:40:07,360 --> 01:40:09,080 Speaker 1: and just hanging out in the in the water. It's 1758 01:40:09,120 --> 01:40:12,800 Speaker 1: it's like it's like me on pool day. So I 1759 01:40:12,840 --> 01:40:17,120 Speaker 1: can't I don't even have a response, so I'm just saying, yeah, 1760 01:40:17,160 --> 01:40:19,360 Speaker 1: I'm just saying an otter would be be a great 1761 01:40:19,720 --> 01:40:22,000 Speaker 1: I need somebody on Team Buck who has a pet 1762 01:40:22,000 --> 01:40:24,000 Speaker 1: otter to write in and send us some photos, like 1763 01:40:24,120 --> 01:40:26,840 Speaker 1: I know one of you does. I know we have 1764 01:40:27,000 --> 01:40:29,240 Speaker 1: millions of people who listen. I know I usually say 1765 01:40:29,320 --> 01:40:31,720 Speaker 1: hundreds of thousands. I'm actually being modest. We actually now 1766 01:40:31,760 --> 01:40:34,559 Speaker 1: have millions of people, um, you know, a month a 1767 01:40:34,600 --> 01:40:38,479 Speaker 1: month who are listening to this show. So I need 1768 01:40:38,520 --> 01:40:41,360 Speaker 1: one of you Team Buck who has a pet otter 1769 01:40:41,479 --> 01:40:44,439 Speaker 1: or a pet fox or both. You gotta write in, 1770 01:40:44,560 --> 01:40:46,920 Speaker 1: tell us what it's like and send us some photos. 1771 01:40:47,520 --> 01:40:51,639 Speaker 1: So that likely a zookeeper or an aquarium worker, yeah, 1772 01:40:52,000 --> 01:40:53,960 Speaker 1: or somebody who might it's probably somebody who has an 1773 01:40:53,960 --> 01:40:55,920 Speaker 1: animal rescue. I'm sure we got somebody with an animal 1774 01:40:55,920 --> 01:40:58,280 Speaker 1: rescue out there, but you know, tell us what they're like, 1775 01:40:58,320 --> 01:41:01,120 Speaker 1: because I'm really curious, and you can tell me if 1776 01:41:01,280 --> 01:41:03,320 Speaker 1: if I'm completely crazy that I think these would be 1777 01:41:03,360 --> 01:41:06,000 Speaker 1: fun pets. More roll call to kick us off into 1778 01:41:06,040 --> 01:41:08,680 Speaker 1: the weekend, Chuck hey Buck and producer Bark. Here's a 1779 01:41:08,760 --> 01:41:12,400 Speaker 1: quick observation for your next roll call. People often call 1780 01:41:12,640 --> 01:41:16,320 Speaker 1: Joe Biden creepy Joe, but have you noticed how creepy 1781 01:41:16,320 --> 01:41:19,400 Speaker 1: it is that Kamala Harris shadows him at almost every 1782 01:41:19,439 --> 01:41:21,920 Speaker 1: move he makes. She's always lurking behind him when he 1783 01:41:21,960 --> 01:41:24,960 Speaker 1: speak at the podium or shuffling around the room. It's 1784 01:41:25,000 --> 01:41:28,640 Speaker 1: almost like she's standing bidy to flect questions. Um, I 1785 01:41:28,720 --> 01:41:32,439 Speaker 1: don't mean, Chuck, I think that she's the vice president. 1786 01:41:32,439 --> 01:41:34,400 Speaker 1: I think the vice president is usually in the background 1787 01:41:34,439 --> 01:41:35,920 Speaker 1: all the time. I don't. I don't know if I 1788 01:41:35,960 --> 01:41:39,840 Speaker 1: find that one. I don't know, Chuck, I gotta think 1789 01:41:39,840 --> 01:41:41,120 Speaker 1: more of I don't. I don't really see that one. 1790 01:41:41,120 --> 01:41:43,280 Speaker 1: I'll be honest with you, but I appreciate your writing 1791 01:41:43,320 --> 01:41:47,000 Speaker 1: in and maybe I'm maybe I'm. I also don't watch 1792 01:41:47,040 --> 01:41:49,439 Speaker 1: that middy Biden speeches. To be honest with you, I don't. 1793 01:41:49,439 --> 01:41:52,960 Speaker 1: I don't really spend a lot of time thinking about 1794 01:41:53,200 --> 01:41:55,679 Speaker 1: what Biden's next words will be because I think Biden 1795 01:41:55,720 --> 01:42:02,040 Speaker 1: doesn't really here a real over prompter. I'm gonna read 1796 01:42:02,160 --> 01:42:06,719 Speaker 1: some more words, and I'm gonna look with squinty eyes 1797 01:42:06,760 --> 01:42:11,880 Speaker 1: into the camera and maybe I'll start yelling for no 1798 01:42:11,960 --> 01:42:16,200 Speaker 1: apparent reason. Then I'll have a little bit of blonde 1799 01:42:16,200 --> 01:42:19,160 Speaker 1: hairs on my legs and the kids will come by. 1800 01:42:19,320 --> 01:42:22,679 Speaker 1: And I'm from Delaware, but sometimes I like to sound 1801 01:42:22,720 --> 01:42:25,599 Speaker 1: like I'm from a different part of the country because 1802 01:42:25,600 --> 01:42:29,040 Speaker 1: it makes me seem more approachable. Man. Yeah, anyway, you 1803 01:42:29,080 --> 01:42:36,240 Speaker 1: got the Joe Biden guys. Guys deeply, deeply inept and unimpressive. 1804 01:42:36,280 --> 01:42:40,479 Speaker 1: But this is who the president is. Let's see here, TJ. Buck. 1805 01:42:40,640 --> 01:42:43,519 Speaker 1: Having Trump primary and critical Republicans and red districts is 1806 01:42:43,560 --> 01:42:46,640 Speaker 1: all well and good. But getting good Republican candidates and 1807 01:42:46,760 --> 01:42:49,160 Speaker 1: purple districts currently blue districts I think should be the 1808 01:42:49,200 --> 01:42:52,200 Speaker 1: bigger priority for twenty twenty two. For example, I live 1809 01:42:52,200 --> 01:42:55,040 Speaker 1: in the third Congressional Congressional district of Iowa, where our 1810 01:42:55,040 --> 01:42:59,680 Speaker 1: current US representative Democrat Cindy Asney one with forty nine 1811 01:42:59,720 --> 01:43:03,240 Speaker 1: percent vote against a milktoast David Young, who lost his 1812 01:43:03,320 --> 01:43:07,639 Speaker 1: incumbency to her in twenty eighteen. By comparison, though Trump 1813 01:43:07,680 --> 01:43:11,639 Speaker 1: actually won the third district in vote count fifty percent. Well, 1814 01:43:11,720 --> 01:43:13,599 Speaker 1: I don't have the time of the resources. I'm sure 1815 01:43:13,720 --> 01:43:16,800 Speaker 1: this is not the only example of congressional districts where 1816 01:43:16,840 --> 01:43:20,160 Speaker 1: Trump won but the Republican congressional candidate lost. Will be 1817 01:43:20,200 --> 01:43:22,559 Speaker 1: good to see Trump's new pack target and support new 1818 01:43:22,560 --> 01:43:25,599 Speaker 1: and better candidates for such districts, in addition to those 1819 01:43:25,600 --> 01:43:27,880 Speaker 1: Republicans who have been critical against Trump as in fact, 1820 01:43:27,920 --> 01:43:30,479 Speaker 1: as I said earlier, districts like mine should probably take 1821 01:43:30,479 --> 01:43:36,880 Speaker 1: priority over those where Republicans already sit tj astute observations. 1822 01:43:36,920 --> 01:43:39,000 Speaker 1: I do believe that Trump will be helping to pick 1823 01:43:39,280 --> 01:43:41,479 Speaker 1: who he thinks they're strong candidates too. It won't just 1824 01:43:41,560 --> 01:43:47,879 Speaker 1: be it won't just be shooting down bad Republican candidates. Team. 1825 01:43:48,160 --> 01:43:51,160 Speaker 1: We are at weekend time now. Thank you so much 1826 01:43:51,160 --> 01:43:54,080 Speaker 1: for being here. Thanks for joining. Honor, privilege, and a pleasure. 1827 01:43:54,120 --> 01:43:56,479 Speaker 1: Please pass the buck to one person this weekend, doing 1828 01:43:56,479 --> 01:43:59,160 Speaker 1: me that favor. Get one new person to listen to 1829 01:43:59,160 --> 01:44:02,120 Speaker 1: Buck Sexton Show podcast. Go to Bucksexton dot com or 1830 01:44:02,120 --> 01:44:05,120 Speaker 1: wherever you listen to podcasts. All right, everybody shields hi