1 00:00:00,440 --> 00:00:03,240 Speaker 1: This is Buck's first thoughts. The news you need to 2 00:00:03,279 --> 00:00:05,840 Speaker 1: get for your day in forty five minutes. Make sure 3 00:00:05,880 --> 00:00:08,520 Speaker 1: you subscribe on the iHeart app or wherever you get 4 00:00:08,560 --> 00:00:14,800 Speaker 1: your podcasts. He was the hero of the pandemic. You 5 00:00:14,800 --> 00:00:17,599 Speaker 1: should remember that, and that should be something that you 6 00:00:18,480 --> 00:00:23,320 Speaker 1: recall here. Governor Cuomo was the person that they pointed 7 00:00:23,360 --> 00:00:28,600 Speaker 1: to as the example. He was the guy that everybody 8 00:00:28,600 --> 00:00:31,520 Speaker 1: else was supposed to follow in his footsteps when it 9 00:00:31,560 --> 00:00:36,040 Speaker 1: came to the handling of COVID nineteen. No other politician 10 00:00:36,120 --> 00:00:38,640 Speaker 1: received the level of praise heaped upon Andrew Cuomo for 11 00:00:38,720 --> 00:00:42,000 Speaker 1: his COVID leadership. Remember, President Biden said he was the 12 00:00:42,080 --> 00:00:46,000 Speaker 1: gold standard in fighting the disease. Back in July, doctor 13 00:00:46,040 --> 00:00:51,000 Speaker 1: Fauci said that Cuomo did it correctly, bringing down the 14 00:00:51,040 --> 00:00:54,240 Speaker 1: curve in New York. Months later, Cuomo even said that 15 00:00:54,280 --> 00:00:57,080 Speaker 1: he and Fauci could join up to be the Puccino 16 00:00:57,200 --> 00:01:02,320 Speaker 1: and de Niro of COVID vaccination public service announcements. Cuomo 17 00:01:02,400 --> 00:01:05,640 Speaker 1: seemed to enjoy his new celebrity status, as did Fauci, 18 00:01:05,800 --> 00:01:08,720 Speaker 1: by the way, never shy about getting in front of 19 00:01:08,720 --> 00:01:12,240 Speaker 1: a camera, a little totalitarian Papa smurf that he is 20 00:01:13,800 --> 00:01:17,880 Speaker 1: Cuomo even wrote a book, American Crisis Leadership Lessons from 21 00:01:17,920 --> 00:01:21,280 Speaker 1: the COVID nineteen Pandemic, came out in the summer of 22 00:01:21,360 --> 00:01:24,800 Speaker 1: twenty twenty. COVID was still really ravaging a lot of 23 00:01:24,800 --> 00:01:26,920 Speaker 1: the country at that point. New York was at a 24 00:01:26,920 --> 00:01:29,199 Speaker 1: low point, but the Sun Belt was getting hit pretty hard, 25 00:01:29,560 --> 00:01:32,319 Speaker 1: and as we know it as it was before the 26 00:01:32,360 --> 00:01:37,640 Speaker 1: Second Wave didn't matter. Cuomo was telling a story that 27 00:01:37,680 --> 00:01:40,400 Speaker 1: the Libs wanted to hear. He even won an Emmy 28 00:01:40,440 --> 00:01:43,480 Speaker 1: for his Daily Press confidence. Remember that, and during the 29 00:01:43,480 --> 00:01:46,960 Speaker 1: award ceremony with all these celebrities like Spike Lee, Ben Stiller, 30 00:01:47,560 --> 00:01:52,680 Speaker 1: and Rosie Perez slobbering praise all over the governor. A 31 00:01:52,880 --> 00:01:55,800 Speaker 1: term popped up for a while last summer Cuomo sexuals 32 00:01:55,840 --> 00:02:00,440 Speaker 1: to reference his alleged appeal. There was even chatter around 33 00:02:00,440 --> 00:02:03,400 Speaker 1: the possibility of his late entry into the presidential field 34 00:02:03,400 --> 00:02:06,880 Speaker 1: while the Democrat primary was still going on. Now we 35 00:02:06,960 --> 00:02:12,200 Speaker 1: have proof it was all affront. Cuomo not only failed 36 00:02:12,240 --> 00:02:15,639 Speaker 1: to show heroic leadership during the pandemic, he may well 37 00:02:15,680 --> 00:02:19,480 Speaker 1: be responsible for the single most disastrous decision of the 38 00:02:19,720 --> 00:02:26,160 Speaker 1: entire ordeal. His arrogance and monumental stupidity could have condemned hundreds, 39 00:02:26,200 --> 00:02:30,840 Speaker 1: if not thousands, of high risk seniors to die unnecessarily 40 00:02:30,919 --> 00:02:36,799 Speaker 1: from COVID in nursing homes. Cuomo's record, even apart from 41 00:02:36,800 --> 00:02:40,680 Speaker 1: the nursing home disaster, speaks for itself. Over fifteen thousand 42 00:02:40,760 --> 00:02:44,640 Speaker 1: seniors dead in the roughly six hundred nursing homes of 43 00:02:44,639 --> 00:02:49,040 Speaker 1: New York State. Overall, New York has the second highest 44 00:02:49,080 --> 00:02:52,120 Speaker 1: COVID fatality rate per hundred thousand residents of any state 45 00:02:52,200 --> 00:02:56,640 Speaker 1: in America, second only to New Jersey. To make matters worse, 46 00:02:56,760 --> 00:03:00,360 Speaker 1: Cuomo tried to cover up the nursing home data. Governor 47 00:03:00,400 --> 00:03:02,680 Speaker 1: New York didn't want the American people knowing what an 48 00:03:02,720 --> 00:03:06,959 Speaker 1: abject disaster he had caused, so he hid it from us, 49 00:03:07,639 --> 00:03:10,640 Speaker 1: which we now know only because his top aide, Melissa 50 00:03:10,680 --> 00:03:13,640 Speaker 1: to Rosa, let it slip on that private phone call. 51 00:03:14,760 --> 00:03:18,440 Speaker 1: They intentionally undercounted deaths by fifty percent because they didn't 52 00:03:18,440 --> 00:03:21,519 Speaker 1: want Trump and the DOJ to know what happened. During 53 00:03:21,520 --> 00:03:26,400 Speaker 1: the election season, Cuomo and his team hid the truth 54 00:03:26,600 --> 00:03:28,600 Speaker 1: from the people of New York and from the country. 55 00:03:29,480 --> 00:03:31,359 Speaker 1: Why would he do that if there was nothing to hide. 56 00:03:32,000 --> 00:03:34,840 Speaker 1: The governor currently claims it was only staffers at the 57 00:03:34,960 --> 00:03:38,040 Speaker 1: nursing home who brought the virus into facilities. That's a 58 00:03:38,160 --> 00:03:41,520 Speaker 1: very convenient explanation, isn't it. And he's lied on the 59 00:03:41,560 --> 00:03:46,120 Speaker 1: issue so many times he has sacrificed all credibility. The 60 00:03:46,160 --> 00:03:50,040 Speaker 1: whole country is now seeing that Cuobo, as a Democrat governor, 61 00:03:50,640 --> 00:03:53,800 Speaker 1: was an abject failure on COVID nineteen response, but was 62 00:03:53,840 --> 00:03:58,400 Speaker 1: somehow celebrated in the media for doing a great job. 63 00:03:59,520 --> 00:04:02,560 Speaker 1: His trump now, as you know, was all that really mattered, 64 00:04:02,640 --> 00:04:06,600 Speaker 1: not as bullying, poor decision making, or catastrophic failure by 65 00:04:06,640 --> 00:04:10,160 Speaker 1: the numbers. There's a lesson here, but the Democrats refuse 66 00:04:10,320 --> 00:04:13,200 Speaker 1: to learn it. Cuomo denies it, and New York and 67 00:04:13,280 --> 00:04:17,080 Speaker 1: the rest of the country will suffer more as a result. 68 00:04:17,839 --> 00:04:21,120 Speaker 1: Because we can't learn the lessons, we can't actually make 69 00:04:21,279 --> 00:04:25,000 Speaker 1: better decisions going forward. If we can't know what has 70 00:04:25,240 --> 00:04:29,480 Speaker 1: worked and what has failed up to this point, you 71 00:04:29,600 --> 00:04:34,640 Speaker 1: might be wondering, does Governor Cuomo actually take any responsibility 72 00:04:34,720 --> 00:04:39,240 Speaker 1: for this? Well, this is perfect. He does. Indeed, insofar 73 00:04:39,360 --> 00:04:44,960 Speaker 1: as he accepts responsibility for you thinking he's responsible. He 74 00:04:45,960 --> 00:04:49,600 Speaker 1: wants to apologize if you have any hurt feelings that 75 00:04:49,760 --> 00:04:54,120 Speaker 1: you should not have but he feels badly for you, right, 76 00:04:54,920 --> 00:04:57,520 Speaker 1: this is a version of all I want to apologize 77 00:04:57,560 --> 00:05:00,680 Speaker 1: to anybody who was offended by my remarks, not ever 78 00:05:00,760 --> 00:05:03,480 Speaker 1: saying that the marks he actually goes beyond that same 79 00:05:03,560 --> 00:05:07,880 Speaker 1: my inoffensive remarks. I will apologize if they offended you, 80 00:05:08,040 --> 00:05:10,960 Speaker 1: even though they're inoffensive. This is the kind of gas lighting, 81 00:05:11,000 --> 00:05:14,600 Speaker 1: the kind of passive, aggressive manipulation you should expect from 82 00:05:14,640 --> 00:05:19,280 Speaker 1: Governor Cuomo. Play two, I'm sorry. Play three. In retrospect, 83 00:05:19,400 --> 00:05:23,760 Speaker 1: we should have prioritized providing more information. I get the 84 00:05:23,839 --> 00:05:27,479 Speaker 1: operational demand. I don't like the second. Guess my team. 85 00:05:29,240 --> 00:05:32,080 Speaker 1: They were all working twenty four hours a day. You know, 86 00:05:32,200 --> 00:05:35,760 Speaker 1: remember where this was. You're in the middle of hell 87 00:05:36,160 --> 00:05:40,800 Speaker 1: during this time. No excuses, no excuses. We should not 88 00:05:40,920 --> 00:05:43,480 Speaker 1: have created the void. We should have done a better 89 00:05:43,600 --> 00:05:47,839 Speaker 1: job in providing information. We should have done a better 90 00:05:48,000 --> 00:05:53,000 Speaker 1: job of knocking down the disinformation. You'd never knocked down 91 00:05:53,040 --> 00:05:56,960 Speaker 1: all these conspiracy theories, the political conspiracy theories, because they 92 00:05:57,080 --> 00:05:59,440 Speaker 1: generate ten a day. But we should have done a 93 00:05:59,480 --> 00:06:03,800 Speaker 1: better job job of providing as much information as we could, 94 00:06:04,480 --> 00:06:08,240 Speaker 1: as quickly as we could. And we should have done 95 00:06:08,279 --> 00:06:15,200 Speaker 1: a better job on that. Yes, and no, excuses. I 96 00:06:16,760 --> 00:06:23,440 Speaker 1: accept responsibility for that. I am in charge. I take responsibility. 97 00:06:24,960 --> 00:06:29,920 Speaker 1: We should have provided more information faster. We were too 98 00:06:30,000 --> 00:06:33,240 Speaker 1: focused on doing the job and addressing the crisis of 99 00:06:33,320 --> 00:06:36,840 Speaker 1: the moment, and we did not do a good enough 100 00:06:36,920 --> 00:06:40,080 Speaker 1: job in providing information. I take total responsibility for that. 101 00:06:41,279 --> 00:06:47,000 Speaker 1: He takes responsibility, you see, for the public's ignorance of 102 00:06:47,120 --> 00:06:49,800 Speaker 1: what a great job he was doing. I mean, you 103 00:06:49,880 --> 00:06:54,840 Speaker 1: can't make this stuff up. He accepts the full weight 104 00:06:54,960 --> 00:07:01,120 Speaker 1: and burden of the general publics in erect belief that 105 00:07:01,279 --> 00:07:05,520 Speaker 1: he messed up. He's sorry in essence that he did 106 00:07:05,640 --> 00:07:10,360 Speaker 1: not explain better to us how awesome he is. That's 107 00:07:10,440 --> 00:07:15,160 Speaker 1: on him. I mean, this guy, it's it's amazing, you know, 108 00:07:15,480 --> 00:07:18,920 Speaker 1: you almost you almost have to marvel at it, to 109 00:07:19,080 --> 00:07:21,840 Speaker 1: be so full of crap, to be so dishonest, to 110 00:07:21,920 --> 00:07:28,400 Speaker 1: be such an incompetent, vain bully getting his emmy writing 111 00:07:28,480 --> 00:07:31,040 Speaker 1: his book. Why did his top aide say that they 112 00:07:31,080 --> 00:07:34,520 Speaker 1: were hiding data from Trump and the DJ during the election. 113 00:07:34,600 --> 00:07:37,160 Speaker 1: Oh no, no, because because they didn't want Trump to 114 00:07:37,240 --> 00:07:39,080 Speaker 1: find out what a great job he had done. I 115 00:07:39,160 --> 00:07:42,760 Speaker 1: guess they didn't want the Department of Justice. While there 116 00:07:42,880 --> 00:07:47,160 Speaker 1: was a Republican president getting any insight into just what 117 00:07:47,320 --> 00:07:50,560 Speaker 1: had happened in the nursing homes in New York. And 118 00:07:50,760 --> 00:07:54,400 Speaker 1: remember this, even if, even if what he's saying now 119 00:07:54,520 --> 00:07:57,880 Speaker 1: his new story is that it's well here, that that 120 00:07:58,120 --> 00:08:01,200 Speaker 1: was all the staff, the ninth thousand seniors that he 121 00:08:01,280 --> 00:08:05,480 Speaker 1: sent into nursing homes, the nine thousand seniors he sent 122 00:08:05,520 --> 00:08:09,360 Speaker 1: into nursing homes who were COVID positive, they weren't a 123 00:08:09,440 --> 00:08:12,560 Speaker 1: risk for some reason. We can't explain that through science, 124 00:08:12,600 --> 00:08:16,320 Speaker 1: of course, But the staff walking in was the only 125 00:08:16,400 --> 00:08:19,120 Speaker 1: reason there were all these dats. Played two three. We 126 00:08:19,200 --> 00:08:21,400 Speaker 1: have six hundred thirteen nursing homes in the state. Three 127 00:08:21,560 --> 00:08:25,320 Speaker 1: hundred and sixty five received the person from a hospital. 128 00:08:25,600 --> 00:08:30,560 Speaker 1: Of the three sixty five that received a person from 129 00:08:30,680 --> 00:08:35,079 Speaker 1: this March twenty fifth guidance, which was then superseded in 130 00:08:35,320 --> 00:08:39,120 Speaker 1: May ninety eight, percent of those three hundred and sixty 131 00:08:39,200 --> 00:08:45,520 Speaker 1: five already had COVID in their hot facility. COVID did 132 00:08:45,600 --> 00:08:49,559 Speaker 1: not get into the nursing homes by people coming from hospitals. 133 00:08:50,840 --> 00:08:55,280 Speaker 1: COVID got into the nursing homes by staff walking into 134 00:08:55,400 --> 00:08:59,079 Speaker 1: the nursing home when we didn't even know we had 135 00:08:59,200 --> 00:09:03,400 Speaker 1: COVID staff walking into a nursing home even though they 136 00:09:03,440 --> 00:09:09,480 Speaker 1: were asymptomatic, because the National lets first told us you 137 00:09:09,600 --> 00:09:14,200 Speaker 1: could only spread COVID if you had symptoms, and they 138 00:09:14,280 --> 00:09:17,920 Speaker 1: were wrong. COVID may have been brought into a nursing 139 00:09:18,000 --> 00:09:22,280 Speaker 1: home because visitors brought it in and didn't know they 140 00:09:22,320 --> 00:09:27,640 Speaker 1: were contagious, because the guidance was you can only be 141 00:09:27,760 --> 00:09:31,600 Speaker 1: contagious if you have symptoms, if you're sneezing, if you're coffee. 142 00:09:32,160 --> 00:09:35,720 Speaker 1: That don't got to be wrong. You know what else 143 00:09:36,120 --> 00:09:39,880 Speaker 1: we should look at? Here the science. Let's do that 144 00:09:40,040 --> 00:09:42,559 Speaker 1: for a moment. He's claiming that because there was COVID 145 00:09:42,600 --> 00:09:45,520 Speaker 1: in these nursing homes, it didn't matter if there were 146 00:09:45,559 --> 00:09:49,559 Speaker 1: additional people with COVID sent into the nursing homes. Does 147 00:09:49,600 --> 00:09:52,079 Speaker 1: that make sense to any of you. Let's say you 148 00:09:52,160 --> 00:09:55,160 Speaker 1: got a nursing home five hundred people. There, you have 149 00:09:55,600 --> 00:09:58,640 Speaker 1: five staff members who all have COVID and they're starting 150 00:09:58,679 --> 00:10:01,280 Speaker 1: to spread it. W make things worse if you put 151 00:10:01,640 --> 00:10:05,559 Speaker 1: fifteen seniors with COVID in the mix. Two yes, it would. 152 00:10:06,520 --> 00:10:09,160 Speaker 1: So the claim that it was only staffers, which is 153 00:10:09,240 --> 00:10:12,880 Speaker 1: what he's saying, that's just absurd, but it doesn't matter. 154 00:10:13,640 --> 00:10:17,040 Speaker 1: It works, doesn't it. People will listen to him. They 155 00:10:17,160 --> 00:10:19,079 Speaker 1: just look at this guy and they say, he has 156 00:10:19,120 --> 00:10:22,720 Speaker 1: such a command of the facts, and he's just such 157 00:10:22,760 --> 00:10:27,199 Speaker 1: a great Democrat. He really helped us beat Trump. People 158 00:10:27,280 --> 00:10:31,319 Speaker 1: still believe this guy. That's what's so terrifying. And in 159 00:10:31,480 --> 00:10:33,439 Speaker 1: California they've at least woken up with the fact that 160 00:10:33,559 --> 00:10:37,280 Speaker 1: Newsom is a flimsy phony. But in New York there 161 00:10:37,320 --> 00:10:39,720 Speaker 1: are people that cling to this vision of Andrew Cuomo, 162 00:10:39,840 --> 00:10:43,040 Speaker 1: perhaps because of his dad, Mario, because you know, the 163 00:10:43,120 --> 00:10:47,080 Speaker 1: Cuomo's New York, the power, all this stuff. They still 164 00:10:47,160 --> 00:10:49,520 Speaker 1: believe this guy is not the worst government America, And 165 00:10:50,640 --> 00:10:54,680 Speaker 1: they're just delusional at this point. This is the Buck 166 00:10:54,760 --> 00:10:59,760 Speaker 1: Sexton Show podcast. Follow fuck on Facebook, Instagram, and Twitter. 167 00:11:00,679 --> 00:11:05,160 Speaker 1: Who's the real hero of the COVID nineteen pandemic. If 168 00:11:05,160 --> 00:11:07,600 Speaker 1: you're looking for a leader, looking for an elected official 169 00:11:09,480 --> 00:11:13,880 Speaker 1: who did what was necessary, who stepped up, who showed 170 00:11:14,000 --> 00:11:19,319 Speaker 1: courage and grit and determination, it's not Andrew Cuomo. Just 171 00:11:19,480 --> 00:11:23,720 Speaker 1: look at the numbers, look at the record. Can't argue 172 00:11:24,000 --> 00:11:26,280 Speaker 1: with what we can see right in front of our faces. 173 00:11:26,840 --> 00:11:29,640 Speaker 1: New York having the second worst per capita COVID deaths 174 00:11:30,720 --> 00:11:32,800 Speaker 1: in America of any state after New Jersey. And remember 175 00:11:32,840 --> 00:11:36,560 Speaker 1: New Jersey and New York essentially share New York City. 176 00:11:36,559 --> 00:11:39,640 Speaker 1: They're right next to each other. So that's why it's 177 00:11:39,679 --> 00:11:42,439 Speaker 1: really just the whole New York metro area was the 178 00:11:42,520 --> 00:11:46,280 Speaker 1: worst single COVID disaster per capita anywhere in the country, 179 00:11:47,040 --> 00:11:51,880 Speaker 1: even still to this day. But we could compare other 180 00:11:52,000 --> 00:11:54,679 Speaker 1: places as well to get a better sense of who 181 00:11:54,800 --> 00:11:57,559 Speaker 1: was doing a good job and who wasn't. Governor Ron 182 00:11:57,640 --> 00:12:02,920 Speaker 1: De Santis all on the issue of nursing homes, he 183 00:12:03,080 --> 00:12:05,720 Speaker 1: has a very different take. Now, let's understand Governor Cuomo 184 00:12:05,840 --> 00:12:10,160 Speaker 1: says there was no problem his executive order, which is 185 00:12:10,200 --> 00:12:14,600 Speaker 1: a matter of public record. His executive order about nursing 186 00:12:14,679 --> 00:12:20,000 Speaker 1: homes didn't do anything, was no problem, nothing to see here, 187 00:12:20,040 --> 00:12:23,520 Speaker 1: don't worry about it. That's his claim. Now, there was 188 00:12:23,640 --> 00:12:26,439 Speaker 1: never a lack of beds, there was never any infection, 189 00:12:26,520 --> 00:12:29,520 Speaker 1: It didn't lead any problems. Forget about that phone call 190 00:12:29,600 --> 00:12:31,480 Speaker 1: that just came out a week ago too, where one 191 00:12:31,520 --> 00:12:33,120 Speaker 1: of his top aids said, no, we had to cover 192 00:12:33,240 --> 00:12:37,040 Speaker 1: this up because the Trump Republicans were gonna just bash 193 00:12:37,160 --> 00:12:40,960 Speaker 1: us with this because it was such a catastrophic failure. 194 00:12:41,160 --> 00:12:46,280 Speaker 1: Forget about what you know. Listen to Cuomo, that's the idea. 195 00:12:47,559 --> 00:12:50,520 Speaker 1: Or you could listen to Governor Ron de Santis. While 196 00:12:50,520 --> 00:12:53,720 Speaker 1: Cuomo saying that the issue of hospital beds and seniors 197 00:12:53,800 --> 00:12:57,480 Speaker 1: in the nursing homes was no issue at all, Ron 198 00:12:57,600 --> 00:13:00,839 Speaker 1: de Santis points out that they found a better way 199 00:13:00,840 --> 00:13:03,600 Speaker 1: to handle this. Here. He is the governor Florida. Play 200 00:13:03,640 --> 00:13:07,280 Speaker 1: ten Well, look, Tucker, we in Florida, we had the 201 00:13:07,360 --> 00:13:10,880 Speaker 1: exact opposite order. We said, you can't a hospital send 202 00:13:10,960 --> 00:13:14,320 Speaker 1: a COVID positive nursing home resident back into the nursing 203 00:13:14,360 --> 00:13:17,800 Speaker 1: home because that is the most vulnerable population and you 204 00:13:17,920 --> 00:13:20,920 Speaker 1: obviously would put them in in serious risk. But we 205 00:13:21,080 --> 00:13:24,480 Speaker 1: also did after the first few weeks, we established COVID 206 00:13:24,559 --> 00:13:27,439 Speaker 1: only nursing units, so if you had somebody test positive 207 00:13:27,440 --> 00:13:30,959 Speaker 1: at a nursing home, they could be safely transferred and isolated, recover, 208 00:13:31,080 --> 00:13:33,680 Speaker 1: then go back so that the other residents were protected. 209 00:13:33,720 --> 00:13:35,679 Speaker 1: So we really viewed that as the tip of the 210 00:13:35,760 --> 00:13:38,480 Speaker 1: sphere when you're dealing with COVID, because the fact of 211 00:13:38,520 --> 00:13:41,040 Speaker 1: the matter is it's not killing a lot of eighteen 212 00:13:41,160 --> 00:13:44,160 Speaker 1: year olds. It is tending to kill people who are 213 00:13:44,280 --> 00:13:49,040 Speaker 1: very elderly and very very ill. Notice what he says here. 214 00:13:50,640 --> 00:13:54,880 Speaker 1: It's so obvious, isn't it. Seniors are at the greatest 215 00:13:55,040 --> 00:14:00,440 Speaker 1: risk by far from COVID nineteen. Over sixty five echoes 216 00:14:00,559 --> 00:14:04,040 Speaker 1: up tremendously. You're a risk from covideen as you all 217 00:14:04,040 --> 00:14:08,600 Speaker 1: listen to this. No, if you were devising a strategy 218 00:14:10,000 --> 00:14:13,920 Speaker 1: to spread COVID to the high risk population, sending anyone, 219 00:14:14,280 --> 00:14:17,160 Speaker 1: never mind even just seniors, anyone you knew to have 220 00:14:17,360 --> 00:14:24,400 Speaker 1: COVID nineteen back into a community of senior citizens, that 221 00:14:24,440 --> 00:14:26,080 Speaker 1: would have to be at the very top of the list. 222 00:14:27,600 --> 00:14:28,840 Speaker 1: If you were trying to think of a way to 223 00:14:28,880 --> 00:14:32,200 Speaker 1: spread this disease in the most catastrophic and lethal fashion. 224 00:14:33,320 --> 00:14:35,040 Speaker 1: You know, if you were trying to I'm being honest 225 00:14:35,040 --> 00:14:37,480 Speaker 1: with you, if you were trying to weaponize COVID, sending 226 00:14:37,560 --> 00:14:43,280 Speaker 1: people with COVID into nursing homes and anyone, seniors, staff, anybody, 227 00:14:43,680 --> 00:14:45,680 Speaker 1: was probably the single most dangerous thing you could do. 228 00:14:46,840 --> 00:14:49,640 Speaker 1: And Governor de Santis says that would that would have 229 00:14:49,720 --> 00:14:53,520 Speaker 1: been crazy. So we didn't do that. We kept people 230 00:14:53,760 --> 00:14:56,040 Speaker 1: in a hospital setting. Remember, in a nursing home, there 231 00:14:56,080 --> 00:14:59,520 Speaker 1: are communal areas, there are people that are they're passing 232 00:14:59,560 --> 00:15:02,000 Speaker 1: each other, you know, in the hallways, they're using the 233 00:15:02,080 --> 00:15:06,520 Speaker 1: same elevators. You know, it's a confined space indoors, they're 234 00:15:06,560 --> 00:15:09,560 Speaker 1: not outside. A lot people have weakened immune systems. Some 235 00:15:09,680 --> 00:15:12,080 Speaker 1: of them are going to have very high viral loads 236 00:15:12,080 --> 00:15:14,640 Speaker 1: they're carrying around because their body can't handle the virus. 237 00:15:15,640 --> 00:15:18,520 Speaker 1: This is obvious stuff. I mean, Cuomo can sit around 238 00:15:18,520 --> 00:15:21,040 Speaker 1: as much as he wants and say, oh, but it 239 00:15:21,200 --> 00:15:23,960 Speaker 1: all came from the people who went into the nursing homes, 240 00:15:24,000 --> 00:15:28,240 Speaker 1: who were staff, not from the seniors. How could anyone 241 00:15:28,360 --> 00:15:31,680 Speaker 1: believe that I'm not saying there weren't staffers that spread 242 00:15:31,720 --> 00:15:34,600 Speaker 1: it perhaps considerably more, or that that wasn't really bad 243 00:15:34,640 --> 00:15:36,960 Speaker 1: as well. It was. But you know, those of us 244 00:15:37,000 --> 00:15:40,360 Speaker 1: who have been saying all along, defend the nursing homes, 245 00:15:40,840 --> 00:15:46,440 Speaker 1: take extreme precautions and measures for senior citizens, and let 246 00:15:46,520 --> 00:15:51,200 Speaker 1: everybody else basically deal with this thing with minimal mitigation 247 00:15:51,320 --> 00:15:55,080 Speaker 1: measures and precautions. I think we've all been proven far 248 00:15:55,360 --> 00:15:57,800 Speaker 1: more wise than the people like Cuomo who took this 249 00:15:58,200 --> 00:16:01,840 Speaker 1: let's lock down all of society approach. Remember the fundamental 250 00:16:02,000 --> 00:16:06,680 Speaker 1: flaw in the lockdown strategies that we've seen in these 251 00:16:06,720 --> 00:16:11,240 Speaker 1: states across the country is that they're not really lockdown, right, 252 00:16:11,360 --> 00:16:13,840 Speaker 1: it's a partial lockdown, so you really get all the 253 00:16:13,960 --> 00:16:17,080 Speaker 1: drawback and none of the benefits. People aren't told they 254 00:16:17,080 --> 00:16:18,640 Speaker 1: have to stay in their homes for two weeks at 255 00:16:18,680 --> 00:16:21,920 Speaker 1: a time. Not really. People still are going out, they're 256 00:16:21,920 --> 00:16:24,760 Speaker 1: going to offices, there's essential workers. They're going to the store. 257 00:16:24,800 --> 00:16:28,120 Speaker 1: They're buying not just food, they're buying products at big 258 00:16:28,200 --> 00:16:32,400 Speaker 1: box stores. And so the virus just keeps spreading. But 259 00:16:32,600 --> 00:16:37,400 Speaker 1: businesses get destroyed, jobs go away, lives are ruined. That 260 00:16:37,600 --> 00:16:44,720 Speaker 1: all happens too here we are watching, watching is they 261 00:16:44,800 --> 00:16:48,120 Speaker 1: try to rewrite this history. Because here's what America is 262 00:16:48,200 --> 00:16:50,040 Speaker 1: waking up to right now. I mean, I know you 263 00:16:50,160 --> 00:16:51,520 Speaker 1: and I have known this all along, but a lot 264 00:16:51,560 --> 00:16:53,560 Speaker 1: of other Americans are just starting to figure this out. 265 00:16:54,920 --> 00:16:57,040 Speaker 1: Biden and his team are a bunch of bunch of buffoons. 266 00:16:58,280 --> 00:17:00,440 Speaker 1: They don't know how to fix this. They didn't have 267 00:17:00,560 --> 00:17:04,760 Speaker 1: some great plan, and actually they've lied a lot about it. 268 00:17:05,800 --> 00:17:09,840 Speaker 1: They've lied about where we are with the vaccinations and 269 00:17:10,040 --> 00:17:12,119 Speaker 1: where that what the status of it was when it 270 00:17:12,160 --> 00:17:15,280 Speaker 1: was handed over to the Biden administration, lied about how 271 00:17:15,320 --> 00:17:17,439 Speaker 1: they have some great plan to shut down. Remember Biden's line, 272 00:17:17,440 --> 00:17:19,200 Speaker 1: I'm gonna shut down the virus. I'm not going to 273 00:17:19,240 --> 00:17:22,760 Speaker 1: shut down the economy. How's that going so far? We're 274 00:17:22,760 --> 00:17:24,280 Speaker 1: a month end. Does it feel does it feel like 275 00:17:24,320 --> 00:17:27,639 Speaker 1: the virus was shut down by Biden? I'm glad he 276 00:17:27,680 --> 00:17:30,320 Speaker 1: appears on TV wearing his mask all the time. Oh yeah, 277 00:17:30,359 --> 00:17:34,960 Speaker 1: that's really he's already vaccinated. This has gone so off 278 00:17:35,040 --> 00:17:40,000 Speaker 1: the rails. People are so propagandized too, and so politicized 279 00:17:40,680 --> 00:17:43,879 Speaker 1: they can't think straight anymore. We need to We need 280 00:17:43,920 --> 00:17:47,679 Speaker 1: to get back to rationality here. We need we need 281 00:17:47,720 --> 00:17:51,320 Speaker 1: to just get get back to earth and forget about 282 00:17:51,320 --> 00:17:54,080 Speaker 1: all this crazy stuff that the lockdown lives have been saying. 283 00:17:55,000 --> 00:17:57,680 Speaker 1: You're in the freedom hunt. Thanks for listening to The 284 00:17:57,760 --> 00:18:00,960 Speaker 1: buck Sexton Show podcast. To get the latest from Bucket 285 00:18:01,000 --> 00:18:06,040 Speaker 1: buck Sexton dot com. What we are finding from the 286 00:18:06,160 --> 00:18:09,240 Speaker 1: science based literature is that there is more spread that 287 00:18:09,400 --> 00:18:11,840 Speaker 1: is happening in the community when schools are not open 288 00:18:11,960 --> 00:18:15,440 Speaker 1: than when schools are open. So we certainly want to 289 00:18:15,560 --> 00:18:18,520 Speaker 1: make sure that there is limited to no transmission of 290 00:18:18,720 --> 00:18:22,000 Speaker 1: disease in our schools, and of course we are managing 291 00:18:22,520 --> 00:18:25,520 Speaker 1: all sorts of risks, so if schools are are closed, 292 00:18:25,560 --> 00:18:28,520 Speaker 1: there's lots of other risks. That is, risks to food 293 00:18:28,560 --> 00:18:30,840 Speaker 1: and security and many of the other things that Donna 294 00:18:31,040 --> 00:18:36,600 Speaker 1: has mentioned, a lack of education milestones being educational milestones 295 00:18:36,640 --> 00:18:39,560 Speaker 1: being missed, so many other things that we have to 296 00:18:39,640 --> 00:18:42,640 Speaker 1: think about in the risk. So really, what we're trying 297 00:18:42,680 --> 00:18:45,639 Speaker 1: to do is make sure that there is limited to 298 00:18:45,840 --> 00:18:48,440 Speaker 1: no transmission in the schools, and we believe with the 299 00:18:48,560 --> 00:18:52,199 Speaker 1: strategies that we have we have put forward that there 300 00:18:52,200 --> 00:18:54,880 Speaker 1: will be limited to no transmission in the schools if 301 00:18:54,920 --> 00:19:00,200 Speaker 1: they are followed worse outside of the classroom it in 302 00:19:00,280 --> 00:19:03,840 Speaker 1: inside the classroom. I want to be very clear here. 303 00:19:03,960 --> 00:19:08,120 Speaker 1: CDC Director raschow Lenski says, there is more spread when 304 00:19:08,240 --> 00:19:14,880 Speaker 1: schools are not open, then when schools are open. You're 305 00:19:14,920 --> 00:19:18,000 Speaker 1: going to see more of this as the data becomes 306 00:19:19,000 --> 00:19:23,400 Speaker 1: increasingly widespread and it becomes obvious for anybody who's looking 307 00:19:23,440 --> 00:19:26,040 Speaker 1: at it, some of the things that they have done 308 00:19:26,160 --> 00:19:29,600 Speaker 1: here to deal with COVID have actually just made everything worse. 309 00:19:30,920 --> 00:19:33,479 Speaker 1: And they don't want to admit that, of course, because 310 00:19:34,280 --> 00:19:36,600 Speaker 1: they were telling us that they were so smart and 311 00:19:36,720 --> 00:19:38,760 Speaker 1: this is the CDC and they know what they're doing. 312 00:19:40,080 --> 00:19:42,840 Speaker 1: She's straight up telling you. The CDC director is saying, look, 313 00:19:43,640 --> 00:19:47,720 Speaker 1: there's more COVID spread in the community when schools are closed, 314 00:19:48,080 --> 00:19:52,720 Speaker 1: then when schools are open. Are a lot of reasons, 315 00:19:52,720 --> 00:19:54,960 Speaker 1: a lot of a lot of theorizing we could do 316 00:19:55,040 --> 00:19:56,960 Speaker 1: about that. Maybe it has to do with just people 317 00:19:57,000 --> 00:19:59,800 Speaker 1: getting out of the home more, taking the kids too 318 00:19:59,840 --> 00:20:03,639 Speaker 1: and from school. Maybe it's getting fresh air and vitamin 319 00:20:03,720 --> 00:20:05,600 Speaker 1: D and the boost in the immune system that people 320 00:20:05,640 --> 00:20:08,680 Speaker 1: get from being more mobile. I mean, really, for a 321 00:20:08,760 --> 00:20:12,720 Speaker 1: disease like this to essentially lock everyone at home except 322 00:20:12,840 --> 00:20:16,679 Speaker 1: for the occasional transmission risk of being indoors with other strangers, 323 00:20:17,080 --> 00:20:20,040 Speaker 1: and then make sure they keep going home and they 324 00:20:20,320 --> 00:20:22,560 Speaker 1: don't get outside, they're not living their lives. Their immune 325 00:20:22,560 --> 00:20:25,800 Speaker 1: system is suppressed. There's so much here that has been wrong. 326 00:20:26,640 --> 00:20:29,399 Speaker 1: There's so much here that has been problematic. And you know, 327 00:20:29,720 --> 00:20:33,800 Speaker 1: back in the day, they were telling us that if 328 00:20:33,880 --> 00:20:37,000 Speaker 1: only we listened to them, we would stop the virus, 329 00:20:37,240 --> 00:20:39,879 Speaker 1: and now we've all seen that was absolutely not true. 330 00:20:41,080 --> 00:20:42,879 Speaker 1: There was never any real hope that we were going 331 00:20:42,960 --> 00:20:47,480 Speaker 1: to stop this virus. But that was a false hope, 332 00:20:48,480 --> 00:20:52,000 Speaker 1: a false hope that they shared it with everybody, and 333 00:20:52,440 --> 00:20:58,520 Speaker 1: it's a false hope that has resulted in tremendous bad 334 00:20:58,640 --> 00:21:03,800 Speaker 1: decision making, I mean really awful decision making on a 335 00:21:04,160 --> 00:21:10,120 Speaker 1: widespread basis. Why are schools still closed in so many places? 336 00:21:10,760 --> 00:21:14,480 Speaker 1: Why do Democrats in blue strongholds insist on keeping public 337 00:21:14,520 --> 00:21:18,400 Speaker 1: schools closed. Well, here's a man who in his state 338 00:21:18,520 --> 00:21:22,440 Speaker 1: did not close schools, and he knows exactly what's going on. 339 00:21:22,600 --> 00:21:27,399 Speaker 1: Play eleven, the school reopening plan. That makes the most sense. 340 00:21:27,760 --> 00:21:31,440 Speaker 1: If you want to open schools, open them, open the door, 341 00:21:31,920 --> 00:21:34,800 Speaker 1: let them come in, and let them learn. And the 342 00:21:35,080 --> 00:21:40,640 Speaker 1: only reason that that is not happening across this country, 343 00:21:40,800 --> 00:21:42,680 Speaker 1: like it is in Florida, like it is in a 344 00:21:42,760 --> 00:21:47,280 Speaker 1: handful of other states, it's one reason, and one reason only, 345 00:21:47,920 --> 00:21:53,200 Speaker 1: because the Democratic Party puts the interests of education, unions 346 00:21:53,720 --> 00:21:56,920 Speaker 1: and special interests ahead of the well being of our 347 00:21:57,040 --> 00:22:00,760 Speaker 1: children and of our families. These kids have been out 348 00:22:00,800 --> 00:22:03,520 Speaker 1: of school in parts of this country for almost a year, 349 00:22:04,000 --> 00:22:06,720 Speaker 1: and if you follow that CDC guidance, they will not 350 00:22:07,080 --> 00:22:10,440 Speaker 1: go back in this school year, and they may not 351 00:22:10,600 --> 00:22:13,960 Speaker 1: even go back in the fall. That is a disgrace. 352 00:22:14,200 --> 00:22:18,159 Speaker 1: That is not science. That is putting politics ahead of 353 00:22:18,240 --> 00:22:21,760 Speaker 1: what's right for kids. That is putting politics and special 354 00:22:21,880 --> 00:22:27,359 Speaker 1: interests ahead of what the evidence and observed experience says. 355 00:22:27,800 --> 00:22:30,920 Speaker 1: So we're better off as a result of giving parents 356 00:22:31,000 --> 00:22:33,800 Speaker 1: and kids that opportunity. I can tell you I cannot 357 00:22:33,920 --> 00:22:36,720 Speaker 1: go out without a parent coming up to me saying 358 00:22:36,800 --> 00:22:39,399 Speaker 1: how much better it is that their child's able to 359 00:22:39,480 --> 00:22:42,280 Speaker 1: go to school. And so we're not looking back, We're 360 00:22:42,320 --> 00:22:47,480 Speaker 1: going to continue going forward. There was never real cause 361 00:22:47,560 --> 00:22:51,240 Speaker 1: to shut the schools down. It was always based in 362 00:22:52,760 --> 00:22:56,520 Speaker 1: bad decision making, and it was based in having the 363 00:22:56,600 --> 00:23:00,960 Speaker 1: wrong priorities. The teachers' unions love this the whole situation. 364 00:23:01,720 --> 00:23:05,120 Speaker 1: I mean, they're able to make demands, break their contracts. 365 00:23:05,160 --> 00:23:08,399 Speaker 1: They're breaking their contracts in places, Hey it's free for 366 00:23:08,440 --> 00:23:09,639 Speaker 1: you to it's safe for you to go back in. 367 00:23:10,119 --> 00:23:12,520 Speaker 1: And they're saying, no, we're not going back in. We're 368 00:23:12,520 --> 00:23:14,480 Speaker 1: not going to send the National Guard to teachers homes 369 00:23:14,480 --> 00:23:16,600 Speaker 1: and drag them into the classroom. Right, So they're just 370 00:23:16,640 --> 00:23:18,800 Speaker 1: saying no, I'm not gonna do it. They know they're 371 00:23:18,800 --> 00:23:21,080 Speaker 1: not all gonna get fired because the unions are too powerful. 372 00:23:22,040 --> 00:23:25,240 Speaker 1: That's where we are. That's what's actually happening here. And 373 00:23:25,280 --> 00:23:27,480 Speaker 1: for anyone says, oh, the teachers so many people have 374 00:23:27,600 --> 00:23:32,119 Speaker 1: enabled this whiny, cry baby nonsense. Oh, the teachers are scared. 375 00:23:32,280 --> 00:23:35,560 Speaker 1: H Really, there are people that have been working in 376 00:23:35,720 --> 00:23:40,240 Speaker 1: grocery stores, delivering mail, showing up, you know, doing their 377 00:23:40,359 --> 00:23:42,879 Speaker 1: jobs in New York City, the worst hit place by 378 00:23:42,920 --> 00:23:45,040 Speaker 1: the pandemic in the whole country. And I've been seeing 379 00:23:45,119 --> 00:23:48,159 Speaker 1: them for a year now. They've been doing this and 380 00:23:48,280 --> 00:23:50,719 Speaker 1: they do their jobs because if they didn't show up, 381 00:23:50,880 --> 00:23:54,040 Speaker 1: they get replaced, they'd get fired. But they show up 382 00:23:54,080 --> 00:23:56,280 Speaker 1: and do their jobs. Teachers don't have to. Oh, I 383 00:23:56,440 --> 00:23:58,720 Speaker 1: can't handle it. Look, if you're a teacher that's at 384 00:23:58,800 --> 00:24:01,879 Speaker 1: high risk, there should be accommodations made for that. I 385 00:24:01,920 --> 00:24:05,200 Speaker 1: don't want seventy year olds going into the classroom. Fine, 386 00:24:05,760 --> 00:24:08,159 Speaker 1: how many seventy year old teachers do you really think 387 00:24:08,200 --> 00:24:10,040 Speaker 1: are in the public school? Say? I'm not saying there aren't, eddy, 388 00:24:10,160 --> 00:24:14,320 Speaker 1: but not that many. And couldn't we just make see 389 00:24:14,480 --> 00:24:16,560 Speaker 1: we could be reasonable and handle all of this. We 390 00:24:16,640 --> 00:24:20,199 Speaker 1: could be reasonable and make make better decisions all across 391 00:24:20,240 --> 00:24:26,119 Speaker 1: the board. What we can't do is continue to have 392 00:24:26,280 --> 00:24:32,240 Speaker 1: this game where we pass along, We pass along the 393 00:24:32,840 --> 00:24:37,360 Speaker 1: decision making to bureaucrats who then essentially pass it back 394 00:24:37,400 --> 00:24:39,120 Speaker 1: to us. Whenever there's a hard call to be made 395 00:24:39,400 --> 00:24:42,000 Speaker 1: to be made, the Democrats will say, we have to 396 00:24:42,040 --> 00:24:45,639 Speaker 1: listen to the science. Let's listen to CDC. You notice 397 00:24:45,680 --> 00:24:48,639 Speaker 1: the CDC doctor Fauci won't come out and make declarative 398 00:24:48,680 --> 00:24:51,879 Speaker 1: statements about things that Democrats don't want to hear. You know, 399 00:24:51,960 --> 00:24:54,800 Speaker 1: he'll say, now wear a mask. But he won't say, 400 00:24:54,920 --> 00:25:02,800 Speaker 1: open the schools today today, why not? He won't say 401 00:25:02,840 --> 00:25:06,240 Speaker 1: we never should have closed the schools. Is there any 402 00:25:06,280 --> 00:25:10,840 Speaker 1: reason for this? Is there any any real problem that 403 00:25:11,200 --> 00:25:15,640 Speaker 1: we're not aware of. No, when it becomes a judgment call, 404 00:25:15,760 --> 00:25:19,280 Speaker 1: they say they're giving guidance. That's what it turns into. 405 00:25:19,560 --> 00:25:22,960 Speaker 1: We have guidance to share. Well, that means that somebody 406 00:25:23,000 --> 00:25:26,200 Speaker 1: else has to make the decisions. That means somebody else 407 00:25:26,320 --> 00:25:30,640 Speaker 1: has to be in charge here. And yet the moment 408 00:25:30,720 --> 00:25:32,960 Speaker 1: that we start to criticize the people in charge, they 409 00:25:33,040 --> 00:25:36,040 Speaker 1: just keep passing this back and forth. I say, why 410 00:25:36,280 --> 00:25:39,600 Speaker 1: is Gavin Newsom doing what he's doing? He says, well, 411 00:25:39,640 --> 00:25:42,440 Speaker 1: we're following the CDC guidance. I go to the CDC 412 00:25:42,680 --> 00:25:45,720 Speaker 1: and I say, hey, CDC, Well, what the heck what's 413 00:25:45,760 --> 00:25:48,160 Speaker 1: going on here? They say, oh, well, we're just giving guidance. 414 00:25:49,040 --> 00:25:51,240 Speaker 1: It's Gavin Newsom's call. Do you see. That's how this 415 00:25:51,400 --> 00:25:54,359 Speaker 1: game has been played the whole time. So no one's 416 00:25:54,359 --> 00:25:57,080 Speaker 1: responsible for the bad decision making, but no one's allowed 417 00:25:57,080 --> 00:25:59,560 Speaker 1: to question the bad decision making either. There's no accountability 418 00:25:59,640 --> 00:26:04,000 Speaker 1: for it. This is bureaucracy. One oh one do what 419 00:26:04,160 --> 00:26:07,359 Speaker 1: they tell you to do, and no one's actually telling 420 00:26:07,400 --> 00:26:10,480 Speaker 1: you to do it. Therefore nobody can really be challenged 421 00:26:10,560 --> 00:26:13,160 Speaker 1: or held accountable for it. And I know that that's 422 00:26:13,160 --> 00:26:15,040 Speaker 1: like a brain teaser, It doesn't really make any sense. 423 00:26:15,680 --> 00:26:20,239 Speaker 1: That's exactly what's happening. That's what's happening. You know, there 424 00:26:20,320 --> 00:26:23,600 Speaker 1: are school districts where they're saying that every teacher has 425 00:26:23,680 --> 00:26:27,800 Speaker 1: to be vaccinated because, you know, or else they won't 426 00:26:27,840 --> 00:26:30,520 Speaker 1: open schools. What's fascinating is they've already started to say 427 00:26:30,680 --> 00:26:32,680 Speaker 1: in a couple of places where they had got that agreement. 428 00:26:34,040 --> 00:26:36,760 Speaker 1: What do you think the next move was. Once the 429 00:26:36,840 --> 00:26:39,320 Speaker 1: school district said, you know what, we will actually we 430 00:26:39,440 --> 00:26:44,960 Speaker 1: will actually vaccinate the teachers, then the unions go, you know, 431 00:26:45,720 --> 00:26:48,440 Speaker 1: I think we're also gonna kind of need you to 432 00:26:48,600 --> 00:26:51,600 Speaker 1: vaccinate all the kids too. Now you're gonna have kids 433 00:26:51,680 --> 00:26:55,360 Speaker 1: vaccinated as well. How long do you think that's gonna take. Look, 434 00:26:55,400 --> 00:26:59,400 Speaker 1: I get it, people have gotten used to a very quiet, 435 00:26:59,680 --> 00:27:03,200 Speaker 1: come terrible lifestyle. You don't have to show up being 436 00:27:03,240 --> 00:27:06,280 Speaker 1: a classroom, deal with the noise, deal with all that. 437 00:27:06,320 --> 00:27:08,880 Speaker 1: And I know some teachers miss their kids and want 438 00:27:08,880 --> 00:27:10,720 Speaker 1: to get back to their kids, and they think this 439 00:27:10,840 --> 00:27:14,359 Speaker 1: is horrible. And I know that. But for the teachers unions, 440 00:27:14,400 --> 00:27:19,679 Speaker 1: they're they're there to represent the perks and the financial 441 00:27:19,840 --> 00:27:24,160 Speaker 1: interests of adults. They are not there in any way, 442 00:27:24,200 --> 00:27:26,640 Speaker 1: shape or form for the benefit of children. And it's 443 00:27:26,640 --> 00:27:32,280 Speaker 1: becoming very obvious. And they control, they control far too 444 00:27:32,400 --> 00:27:37,440 Speaker 1: much of the Democrat Party's decision making. That's really where 445 00:27:37,520 --> 00:27:40,000 Speaker 1: we are. That's what's actually going on here. It's it's 446 00:27:40,080 --> 00:27:42,480 Speaker 1: obvious for anyone to see. All you have to do 447 00:27:42,720 --> 00:27:46,719 Speaker 1: is just look and just tell the truth. You can 448 00:27:46,800 --> 00:27:50,240 Speaker 1: see this. You can see this. Speaking of telling the truth. 449 00:27:50,280 --> 00:27:54,080 Speaker 1: You know who doesn't do that, Kamala Harris about the 450 00:27:54,520 --> 00:27:58,200 Speaker 1: vaccine situation they got. They gotta keep the bar very 451 00:27:58,320 --> 00:28:02,119 Speaker 1: low for this Biden administration. That's not a surprise, is it. 452 00:28:03,800 --> 00:28:07,040 Speaker 1: You're listening to the Buck Sexton Show podcast, make sure 453 00:28:07,080 --> 00:28:10,040 Speaker 1: you subscribe to the podcast on the iHeartRadio app or 454 00:28:10,119 --> 00:28:13,720 Speaker 1: wherever you get your podcasts. What the guidelines are saying 455 00:28:13,760 --> 00:28:15,600 Speaker 1: that there are a number of things that you can 456 00:28:15,880 --> 00:28:19,480 Speaker 1: mitigate to make it safer, regardless of what level you're in. 457 00:28:19,640 --> 00:28:24,440 Speaker 1: Obviously you know the blue, yellow, orange, red zone, and 458 00:28:24,520 --> 00:28:26,679 Speaker 1: you're absolutely correct that if you look at the country, 459 00:28:27,000 --> 00:28:30,680 Speaker 1: a considerable proportion or in that zone where you really 460 00:28:30,760 --> 00:28:33,200 Speaker 1: have to be careful because that is a higher risk. 461 00:28:33,320 --> 00:28:35,800 Speaker 1: But what the guidelines are saying is that there are 462 00:28:35,800 --> 00:28:39,080 Speaker 1: a number of things that people are asking for help 463 00:28:39,160 --> 00:28:42,120 Speaker 1: and guidance of what can we do to make this 464 00:28:42,360 --> 00:28:46,080 Speaker 1: more safe? And you saw in them there's masking, this distancing, 465 00:28:46,160 --> 00:28:50,080 Speaker 1: this contact tracing, there's cleansing of the areas. But there's 466 00:28:50,120 --> 00:28:54,560 Speaker 1: also vaccination of the teachers, and I think that's important 467 00:28:54,560 --> 00:28:58,160 Speaker 1: and it's become clear that that's not a sneaquinone. I mean, 468 00:28:58,240 --> 00:29:00,440 Speaker 1: you can say we're not going to open any schools 469 00:29:00,800 --> 00:29:03,960 Speaker 1: unless all the teachers get vaccinated. It would be very helpful, 470 00:29:04,400 --> 00:29:06,720 Speaker 1: and all of us are very empathetic and want the 471 00:29:06,800 --> 00:29:09,920 Speaker 1: teachers to get vaccinated. They are a priority when it 472 00:29:10,000 --> 00:29:13,480 Speaker 1: comes to essential personnel. But we think we can move 473 00:29:13,600 --> 00:29:16,760 Speaker 1: forward as we vaccinate teachers. But that doesn't have to 474 00:29:16,880 --> 00:29:19,560 Speaker 1: be that. If they're not vaccinated, then you don't open 475 00:29:19,600 --> 00:29:22,480 Speaker 1: to school. So I think hopefully that clarifies it a 476 00:29:22,560 --> 00:29:26,440 Speaker 1: little bit. Oh yeah, it's really clarified. Oh it's so clear. 477 00:29:26,600 --> 00:29:30,600 Speaker 1: Now that's clarified. So there's a whole lot of things 478 00:29:30,640 --> 00:29:33,880 Speaker 1: you can do. You don't have to do any one 479 00:29:33,960 --> 00:29:37,120 Speaker 1: of them. You should do most of them best if 480 00:29:37,160 --> 00:29:39,719 Speaker 1: you do all of them, but if you miss one 481 00:29:39,840 --> 00:29:44,120 Speaker 1: or two, well we'll leave that up to you. Okay, 482 00:29:44,200 --> 00:29:47,760 Speaker 1: So what does that mean? That's foucism for you? In 483 00:29:47,800 --> 00:29:50,320 Speaker 1: a nutshell? There you have it. You know, there's cleaning, 484 00:29:50,400 --> 00:29:53,560 Speaker 1: there's air quality, there's mass there's there's this, there's that. 485 00:29:53,760 --> 00:30:00,760 Speaker 1: There's there's vaccines for some not all. Maybe kind of yes, no, maybe, So, well, 486 00:30:00,840 --> 00:30:04,280 Speaker 1: which one is it that they keep saying there's guidance. 487 00:30:04,880 --> 00:30:08,680 Speaker 1: It's really guidelines, Like, here's some general thoughts. Go go 488 00:30:08,880 --> 00:30:11,400 Speaker 1: have go, have your fun, go do your thing. Good 489 00:30:11,480 --> 00:30:15,240 Speaker 1: luck America. You say, well, hold on. We're always told 490 00:30:15,680 --> 00:30:19,280 Speaker 1: that politicians have to listen to the CDC. But you see, 491 00:30:19,320 --> 00:30:22,760 Speaker 1: the CDC keeps saying, well, here's some general stuff. This 492 00:30:23,000 --> 00:30:29,240 Speaker 1: is ultimately about policy and about risk tolerance. That's the 493 00:30:29,520 --> 00:30:32,440 Speaker 1: heart of the whole matter, all this other stuff, but 494 00:30:32,520 --> 00:30:34,120 Speaker 1: we're gonna do this and that and all these different 495 00:30:34,160 --> 00:30:40,040 Speaker 1: changes than everything. What is acceptable risk for society? And 496 00:30:40,200 --> 00:30:43,920 Speaker 1: we are returning to conversations now that some of us 497 00:30:43,960 --> 00:30:45,760 Speaker 1: were trying to have at the beginning of the pandemic, 498 00:30:45,960 --> 00:30:50,960 Speaker 1: where a zero risk toleration in different parts of our 499 00:30:51,040 --> 00:30:58,000 Speaker 1: society is a recipe for totalitarian madness. Saying it in 500 00:30:58,040 --> 00:31:00,960 Speaker 1: the very beginning, you know, and I would say, why 501 00:31:01,080 --> 00:31:03,360 Speaker 1: can't they Why can't we make the speed limit ten 502 00:31:03,360 --> 00:31:05,440 Speaker 1: miles an hour? It would save thousands of lives because 503 00:31:05,520 --> 00:31:09,680 Speaker 1: we decide that with the you know, hundreds of millions 504 00:31:09,720 --> 00:31:12,360 Speaker 1: of car trips going on all the time, you know, 505 00:31:12,520 --> 00:31:15,480 Speaker 1: we're all running a risk. Why would you ever get 506 00:31:15,520 --> 00:31:17,760 Speaker 1: in an airplane knowing that an airplane can crash? You're 507 00:31:17,840 --> 00:31:20,920 Speaker 1: running a risk now airplane crashes are actually very very 508 00:31:21,000 --> 00:31:24,040 Speaker 1: rare now, but that used to be less rare. You know, 509 00:31:24,160 --> 00:31:29,400 Speaker 1: why would you ever, you know, take any pharmaceutical. There's 510 00:31:29,400 --> 00:31:35,840 Speaker 1: always a risk. You can paralyze yourself by unreasonable risk standards. 511 00:31:36,080 --> 00:31:39,280 Speaker 1: And that's what we've done as a society, as a country. 512 00:31:41,320 --> 00:31:44,600 Speaker 1: That's where we are now. People have become so hyper 513 00:31:44,680 --> 00:31:48,440 Speaker 1: sensitive over the issue. Oh my gosh, COVID. I mean, 514 00:31:48,520 --> 00:31:51,560 Speaker 1: I've I've had lots of people in my life have COVID. 515 00:31:51,640 --> 00:31:53,920 Speaker 1: People that I've been in very close contact with, lots 516 00:31:53,920 --> 00:31:56,200 Speaker 1: of people knew of had COVID, you know. I mean, 517 00:31:56,280 --> 00:31:58,239 Speaker 1: I know everyone says this. I think I already had 518 00:31:58,320 --> 00:32:02,240 Speaker 1: COVID very early in the pandemic. But you know, people 519 00:32:02,280 --> 00:32:05,080 Speaker 1: all over the place, I've been getting this thing and 520 00:32:05,480 --> 00:32:08,320 Speaker 1: we're suffering through all this bad policy under the under 521 00:32:08,320 --> 00:32:10,280 Speaker 1: the promise that it's going to protect us. Does anyone 522 00:32:10,320 --> 00:32:12,920 Speaker 1: feel like it's really protected them and don't really feel 523 00:32:12,960 --> 00:32:17,680 Speaker 1: like this has had the intended result. We have to essential, 524 00:32:17,760 --> 00:32:19,240 Speaker 1: we have to get to a point where we say 525 00:32:20,000 --> 00:32:24,080 Speaker 1: life is not perfect. I cannot control everything. I know 526 00:32:24,320 --> 00:32:27,479 Speaker 1: there are things that can go wrong, but I am 527 00:32:27,520 --> 00:32:31,880 Speaker 1: making a conscious decision to accept that and to go 528 00:32:32,120 --> 00:32:37,520 Speaker 1: forward with that possibility and to still function as a 529 00:32:37,760 --> 00:32:42,640 Speaker 1: as a reasonable rational person. That's what Fauci really needs 530 00:32:42,640 --> 00:32:44,040 Speaker 1: to do. It if you wanted to be helpful, which 531 00:32:44,040 --> 00:32:45,920 Speaker 1: he does, and would be to sit down and say, look, everybody, 532 00:32:47,600 --> 00:32:50,680 Speaker 1: there's no perfect answers here. You know, you know what 533 00:32:50,760 --> 00:32:54,680 Speaker 1: the mitigations are, and you know they've kind of helped. Well, 534 00:32:54,680 --> 00:32:56,000 Speaker 1: they would say they've helped a lot. I mean, I 535 00:32:56,080 --> 00:32:58,360 Speaker 1: think that's crazy, but they'd say that, you know, they've helped. 536 00:32:58,560 --> 00:33:00,440 Speaker 1: But we really got to get people back out there. 537 00:33:01,040 --> 00:33:03,320 Speaker 1: That's the way we got to go. And some of us, 538 00:33:03,480 --> 00:33:05,440 Speaker 1: some of us aren't gonna make it, but some of 539 00:33:05,520 --> 00:33:08,200 Speaker 1: us don't make it all the time. Anyway, That's what happens. 540 00:33:08,280 --> 00:33:11,480 Speaker 1: That's life, you know, that's what actually has to be said. 541 00:33:11,520 --> 00:33:17,240 Speaker 1: They won't say that, they will not say that. You know, yeah, 542 00:33:17,640 --> 00:33:19,800 Speaker 1: I mean, you know, it's all about accept the risk tolerance. 543 00:33:19,800 --> 00:33:23,000 Speaker 1: I'll never forget when I got sat down by one 544 00:33:23,040 --> 00:33:26,520 Speaker 1: of my one of my senior one of my senior 545 00:33:26,600 --> 00:33:29,400 Speaker 1: managers at the CIA before I went, He's like, where 546 00:33:29,440 --> 00:33:32,160 Speaker 1: you're going. He's like, you're probably gonna be okay. He's like, 547 00:33:32,200 --> 00:33:34,360 Speaker 1: you're not you're not a combatant, you're a you're not 548 00:33:34,520 --> 00:33:38,080 Speaker 1: a door kicker. You know, you're not not wearing the uniform. 549 00:33:38,200 --> 00:33:40,440 Speaker 1: So but you know you're gonna be carrying weapons and 550 00:33:40,480 --> 00:33:43,240 Speaker 1: you're gonna be in a war zone. And he's like, 551 00:33:43,320 --> 00:33:45,360 Speaker 1: you should just know before you do this, you could die. 552 00:33:45,840 --> 00:33:47,479 Speaker 1: And that's a thing that could happen. You could die 553 00:33:47,560 --> 00:33:49,120 Speaker 1: doing this. I'll never forget. He sat me down and 554 00:33:49,160 --> 00:33:50,959 Speaker 1: talk to me about this, and I looked at him 555 00:33:50,960 --> 00:33:54,160 Speaker 1: and I was like, I appreciate that, and I understand, 556 00:33:54,440 --> 00:33:58,640 Speaker 1: and uh, I'm going, you know, because I thought it 557 00:33:58,720 --> 00:34:01,360 Speaker 1: was not only accepta for me. I couldn't I mean, 558 00:34:01,400 --> 00:34:04,000 Speaker 1: I couldn't live with myself considering that there were so 559 00:34:04,080 --> 00:34:07,160 Speaker 1: many other people in the military specifically, were taking such 560 00:34:07,280 --> 00:34:10,680 Speaker 1: bigger risks, you orders of magnitude, bigger risk every day, 561 00:34:11,160 --> 00:34:12,880 Speaker 1: and I was just some guy running around dressed like 562 00:34:12,920 --> 00:34:14,839 Speaker 1: I was on a camping trip, trying not to get 563 00:34:14,920 --> 00:34:17,040 Speaker 1: kidnapped by al Qaida or something, and trying to help 564 00:34:17,080 --> 00:34:21,880 Speaker 1: out military. My point here just being how I was 565 00:34:21,920 --> 00:34:23,919 Speaker 1: gonna what I was gonna live in fear of trying 566 00:34:23,960 --> 00:34:28,520 Speaker 1: to serve when my service was so much less risky 567 00:34:29,040 --> 00:34:31,360 Speaker 1: than those who were out there every day outside the wire. 568 00:34:32,120 --> 00:34:35,000 Speaker 1: Come on, right, at some point you got to make 569 00:34:35,080 --> 00:34:38,800 Speaker 1: these calculations. At some point you got to say to yourself, 570 00:34:40,000 --> 00:34:42,879 Speaker 1: you know, I'm rolling the life is always rolling the dice. 571 00:34:43,040 --> 00:34:46,360 Speaker 1: And as a society, what has happened to us. Faucism 572 00:34:46,440 --> 00:34:49,560 Speaker 1: has created the false perception that they can save you 573 00:34:49,719 --> 00:34:51,799 Speaker 1: from a bad roll of the dice. If you give 574 00:34:51,840 --> 00:34:55,239 Speaker 1: them all your liberty, give them all the authority they need, 575 00:34:55,320 --> 00:34:59,600 Speaker 1: they'll give you perfect security. This is a lie and 576 00:34:59,760 --> 00:35:03,800 Speaker 1: it's destructive, and we are dealing with the consequences of 577 00:35:03,920 --> 00:35:05,640 Speaker 1: this now every day, and it's not just going to 578 00:35:05,680 --> 00:35:09,000 Speaker 1: go away. We have to make it stop. This is 579 00:35:09,120 --> 00:35:11,719 Speaker 1: bucks first thoughts the news You need to get through 580 00:35:11,760 --> 00:35:14,600 Speaker 1: your day in forty five minutes. Make sure you subscribe 581 00:35:14,640 --> 00:35:17,480 Speaker 1: on the iHeart app for wherever you get your podcasts. 582 00:35:19,600 --> 00:35:25,080 Speaker 1: Harsani time our friend David Harsani from National Review in 583 00:35:25,239 --> 00:35:28,040 Speaker 1: the mix with us once again Nationalview dot com for 584 00:35:28,320 --> 00:35:32,279 Speaker 1: his latest David, great to have you, always, great to 585 00:35:32,320 --> 00:35:34,880 Speaker 1: be here. Thank you. So I think people are starting 586 00:35:34,920 --> 00:35:36,719 Speaker 1: to see me. When I say people, I mean those 587 00:35:36,800 --> 00:35:41,439 Speaker 1: who are observing with some degree of honesty. I can't 588 00:35:41,440 --> 00:35:45,839 Speaker 1: say impartiality, but just taking objective fact in. As such, 589 00:35:46,719 --> 00:35:51,920 Speaker 1: the Biden administration is not some team of genius experts 590 00:35:52,360 --> 00:35:57,440 Speaker 1: with a great plan to end the pandemic, to boost 591 00:35:57,480 --> 00:36:00,880 Speaker 1: the economy tremendously, to get everybody back to work. No, no, 592 00:36:01,440 --> 00:36:04,360 Speaker 1: In fact, they're doing a lot of petty ideological stuff 593 00:36:04,960 --> 00:36:07,640 Speaker 1: and messing up on some of the more important day 594 00:36:07,680 --> 00:36:10,440 Speaker 1: to day stuff, right. I think a lot of that 595 00:36:10,680 --> 00:36:14,600 Speaker 1: is a function of partisanship, in the sense that Biden 596 00:36:14,640 --> 00:36:16,560 Speaker 1: didn't really have to come up with a plan or 597 00:36:16,640 --> 00:36:20,680 Speaker 1: make any kind of really coherent argument other than not 598 00:36:20,880 --> 00:36:24,120 Speaker 1: being Trump, other than saying Trump had failed, others saying 599 00:36:24,160 --> 00:36:27,640 Speaker 1: Trump had killed people. Frankly, and now we see, you know, 600 00:36:27,760 --> 00:36:29,680 Speaker 1: with the vaccines. I mean, I think, actually we're doing 601 00:36:29,719 --> 00:36:31,279 Speaker 1: a good job in general, but I don't think that 602 00:36:31,400 --> 00:36:35,040 Speaker 1: that's has anything to do with Biden. There was no 603 00:36:35,280 --> 00:36:39,480 Speaker 1: special plan to change the trajectory of Corona virus. There 604 00:36:39,560 --> 00:36:43,600 Speaker 1: was no special plan to get the economy on its feet. 605 00:36:43,880 --> 00:36:46,480 Speaker 1: You saw the trial balloon. I'm sure of the Biden 606 00:36:46,640 --> 00:36:49,840 Speaker 1: administration talking about locking down Florida were still pretending Florida 607 00:36:49,880 --> 00:36:52,000 Speaker 1: has done a bad job. Just a lot of partisan 608 00:36:52,560 --> 00:36:55,920 Speaker 1: a lot of partisanship, as he mentioned. Yeah, and I 609 00:36:56,160 --> 00:37:00,319 Speaker 1: feel like the issue of schools, we finally stumble the pawn, 610 00:37:01,080 --> 00:37:03,880 Speaker 1: We finally stumbled upon something where the Democrats, all the 611 00:37:03,960 --> 00:37:07,560 Speaker 1: talking points, all the propaganda, they can't they can't get 612 00:37:07,600 --> 00:37:09,800 Speaker 1: away from this one. I mean they they've had the 613 00:37:09,880 --> 00:37:12,960 Speaker 1: CDC directors say, yeah, I mean, you don't need to 614 00:37:13,000 --> 00:37:14,759 Speaker 1: be vaccinated for all that you don't have to have 615 00:37:14,800 --> 00:37:18,040 Speaker 1: all the teachers vaccinated for school to be back in action. 616 00:37:18,560 --> 00:37:20,400 Speaker 1: And then you turn around and you say, oh, well, 617 00:37:20,480 --> 00:37:23,800 Speaker 1: well actually she was speaking at her private capacity, and 618 00:37:23,960 --> 00:37:27,560 Speaker 1: you have okay, Well schools should be open safely. Fo 619 00:37:27,840 --> 00:37:30,840 Speaker 1: They keep throwing in this safely at the end, and 620 00:37:30,960 --> 00:37:32,759 Speaker 1: then everyone says, well, what does that mean? I mean, 621 00:37:32,800 --> 00:37:35,840 Speaker 1: if it means every public school in America get some 622 00:37:36,080 --> 00:37:39,880 Speaker 1: new you know, below a certain micron the ventilation system 623 00:37:39,920 --> 00:37:42,160 Speaker 1: for the entire school, that's gonna I mean, people are 624 00:37:42,200 --> 00:37:43,879 Speaker 1: actually talking about this, David, I'm like, so that means 625 00:37:43,880 --> 00:37:47,200 Speaker 1: school never actually opens, folks. That's what safely means. There 626 00:37:47,239 --> 00:37:49,799 Speaker 1: are a lot of things that democrats or many words 627 00:37:49,800 --> 00:37:52,560 Speaker 1: that democrats use that is just are open ended safely 628 00:37:52,600 --> 00:37:55,000 Speaker 1: as one of them. We can never safely do anything 629 00:37:55,719 --> 00:37:58,080 Speaker 1: at some you know, it can never be totally safe. 630 00:37:58,640 --> 00:38:00,920 Speaker 1: Schools have always been saved open as far as I know, 631 00:38:01,000 --> 00:38:03,640 Speaker 1: I'm not a scientist, but all the data and all 632 00:38:03,719 --> 00:38:07,800 Speaker 1: the studies show that schools are not big spreaders, or 633 00:38:08,320 --> 00:38:11,440 Speaker 1: they're almost not. Don't spread spread it at all. So 634 00:38:11,560 --> 00:38:17,200 Speaker 1: obviously they're they're captured by the captured by the teachers unions, 635 00:38:17,560 --> 00:38:20,040 Speaker 1: and it's a political thing, just like anything else. Follow 636 00:38:20,080 --> 00:38:23,120 Speaker 1: the science is not a science is another open ended 637 00:38:23,160 --> 00:38:25,319 Speaker 1: thing where you just get to do whatever your Democrats say. 638 00:38:25,360 --> 00:38:27,279 Speaker 1: But they don't follow the science any more than anyone else. 639 00:38:27,800 --> 00:38:29,279 Speaker 1: If we were really trying to follow the science, we 640 00:38:29,320 --> 00:38:30,759 Speaker 1: look at Florida and see what they were doing and 641 00:38:30,840 --> 00:38:32,480 Speaker 1: follow what they're doing. But we don't do that. We 642 00:38:32,560 --> 00:38:35,000 Speaker 1: follow what the Chicago's Teachers Union says we should do. 643 00:38:35,680 --> 00:38:37,880 Speaker 1: And uh, you know, it's just a bunch of phonies. 644 00:38:37,920 --> 00:38:40,560 Speaker 1: I don't know how else to say it. And well, 645 00:38:40,600 --> 00:38:42,359 Speaker 1: I just feel like this has been the problem, David, 646 00:38:42,440 --> 00:38:45,279 Speaker 1: to change. This has been the problem all along. As 647 00:38:45,320 --> 00:38:49,320 Speaker 1: you point out, follow the science has been essentially a 648 00:38:49,880 --> 00:38:53,399 Speaker 1: version of obey. We're gonna make you do this. We're 649 00:38:53,440 --> 00:38:55,840 Speaker 1: gonna say it's about the science, but it's really not. 650 00:38:56,520 --> 00:38:58,799 Speaker 1: I mean, there's there's a there's a comparison going around 651 00:38:58,840 --> 00:39:02,120 Speaker 1: now of California and Florida, and I think it's a 652 00:39:02,320 --> 00:39:07,480 Speaker 1: very apt comparison because you have two states with roughly 653 00:39:07,640 --> 00:39:10,319 Speaker 1: similar weather, because that does factor into this, right, States 654 00:39:10,360 --> 00:39:12,920 Speaker 1: with longer, colder seasons maybe have a You have two 655 00:39:12,960 --> 00:39:16,560 Speaker 1: states with large populations. I know California is about twice 656 00:39:16,600 --> 00:39:20,000 Speaker 1: the size but still large population states with major urban 657 00:39:20,120 --> 00:39:26,319 Speaker 1: centers and serious population density. And one place, California went 658 00:39:26,400 --> 00:39:30,680 Speaker 1: into the longest really and strictest lockdowns of any state 659 00:39:30,760 --> 00:39:32,840 Speaker 1: in America. I mean certainly right up there with the 660 00:39:32,920 --> 00:39:36,799 Speaker 1: top two or three, and another one Florida never locked down. 661 00:39:37,320 --> 00:39:40,320 Speaker 1: And on all the data on a per capita so 662 00:39:40,719 --> 00:39:44,879 Speaker 1: adjusted for the actual numbers, Florida did better than California. 663 00:39:45,320 --> 00:39:47,640 Speaker 1: So and I keep pointing out to people, it's not 664 00:39:47,800 --> 00:39:52,080 Speaker 1: like what California has done was without consequence. This isn't 665 00:39:52,120 --> 00:39:54,440 Speaker 1: like you know, a chocolate or vanilla situation where pick 666 00:39:54,520 --> 00:39:58,480 Speaker 1: whatever you like. What California did hurt a lot of people. 667 00:39:59,239 --> 00:40:02,040 Speaker 1: So they got a war first outcome, and they also 668 00:40:02,120 --> 00:40:05,560 Speaker 1: created this unnecessary cost from all the lockdowns. And it 669 00:40:05,680 --> 00:40:07,600 Speaker 1: just feels to me, David, like, no matter how clear 670 00:40:07,680 --> 00:40:09,880 Speaker 1: the data is at this point, there are people who 671 00:40:10,000 --> 00:40:13,840 Speaker 1: they will just never admit it. They were so convinced 672 00:40:13,920 --> 00:40:17,000 Speaker 1: that they were so smart because they listened to the science, 673 00:40:17,680 --> 00:40:21,200 Speaker 1: and now they realize, oh, maybe Fauci isn't a genius. 674 00:40:21,880 --> 00:40:24,719 Speaker 1: Yeah no, But but they keep pretending the Florida light 675 00:40:24,760 --> 00:40:27,880 Speaker 1: about its numbers, or they or they just pretend that 676 00:40:28,120 --> 00:40:30,359 Speaker 1: Cloma did a good job. Now that's turned around a bit. 677 00:40:30,440 --> 00:40:32,560 Speaker 1: But I just saw a poll today. I mean most people, 678 00:40:32,800 --> 00:40:36,400 Speaker 1: you know, the polls haven't changed, almost still loved by 679 00:40:36,480 --> 00:40:39,400 Speaker 1: New Yorkers, which is to me just insanity. Just it 680 00:40:39,440 --> 00:40:41,880 Speaker 1: seems to me that it's just an issue of partisanship, 681 00:40:41,960 --> 00:40:43,920 Speaker 1: that people just that's what they care about. Now, I 682 00:40:43,960 --> 00:40:45,759 Speaker 1: don't I don't know how else to put it. But 683 00:40:45,920 --> 00:40:49,560 Speaker 1: by any quantifiable number, Florida has done better, and all 684 00:40:49,600 --> 00:40:51,239 Speaker 1: the things you mentioned are true. But more than that, 685 00:40:51,400 --> 00:40:55,600 Speaker 1: they have an older, more susceptible population as well. In Florida, 686 00:40:55,680 --> 00:40:58,440 Speaker 1: they you know, there are population skews. That's a really 687 00:40:58,480 --> 00:41:01,920 Speaker 1: important especially with the California comparison, because California has has 688 00:41:02,040 --> 00:41:08,120 Speaker 1: an unusually young population for state. So all those things 689 00:41:08,239 --> 00:41:10,000 Speaker 1: have to be taken into account. But when you, like 690 00:41:10,080 --> 00:41:12,320 Speaker 1: I look at the European numbers, you know, you have Sweden, 691 00:41:12,360 --> 00:41:15,520 Speaker 1: which didn't really lock down, and their numbers are basically 692 00:41:15,560 --> 00:41:17,839 Speaker 1: the same as all like everyone like loves to make 693 00:41:17,880 --> 00:41:19,920 Speaker 1: these lists where this country has more deaths in this 694 00:41:20,040 --> 00:41:22,520 Speaker 1: country is less, that's but in Western world, all the 695 00:41:22,600 --> 00:41:25,560 Speaker 1: countries are essentially in the same area. Right. There might 696 00:41:25,600 --> 00:41:28,880 Speaker 1: be weather differences or kind of societal differences that make 697 00:41:29,120 --> 00:41:32,439 Speaker 1: that changed those numbers. But there wasn't I just don't 698 00:41:32,520 --> 00:41:34,200 Speaker 1: think that there was much we could do and what 699 00:41:34,360 --> 00:41:36,760 Speaker 1: but what we did do was destroy or nearly destroy 700 00:41:36,880 --> 00:41:39,839 Speaker 1: or economy. I think the reverberations of what we did 701 00:41:40,640 --> 00:41:42,960 Speaker 1: socially with the masks and everything else that we do 702 00:41:43,120 --> 00:41:45,560 Speaker 1: in the distancing but also the economic side are going 703 00:41:45,600 --> 00:41:47,840 Speaker 1: to be felt for a long time. And you know, 704 00:41:48,040 --> 00:41:50,360 Speaker 1: I'm not trying to diminish the deaths that have happened, 705 00:41:50,400 --> 00:41:53,440 Speaker 1: but I'm saying that there are trade offs. And Democrats 706 00:41:53,520 --> 00:41:55,239 Speaker 1: never want to talk about the trade offs to what 707 00:41:55,360 --> 00:41:57,319 Speaker 1: you do. They just want you to look at one thing. 708 00:41:57,640 --> 00:42:00,319 Speaker 1: You know, it's like with global warming or climate change. 709 00:42:00,400 --> 00:42:03,040 Speaker 1: Is because I'm reading Bill Gates's new book on it 710 00:42:03,440 --> 00:42:05,279 Speaker 1: is that you know, he keeps talking about science, but 711 00:42:05,320 --> 00:42:07,799 Speaker 1: he never talks about the trade offs. Yes, science might 712 00:42:07,840 --> 00:42:10,920 Speaker 1: say it's getting warmer, but you want to destroy modernity 713 00:42:11,040 --> 00:42:13,600 Speaker 1: to stop it. That is not science. It's but it 714 00:42:13,719 --> 00:42:16,640 Speaker 1: is a fact, right, and it's more important and people suffer, 715 00:42:16,960 --> 00:42:20,120 Speaker 1: and you don't care about that because you're so you know, 716 00:42:20,200 --> 00:42:23,400 Speaker 1: you're so focused and obsessed about some number that science 717 00:42:23,440 --> 00:42:26,200 Speaker 1: tells you and one let quick thing. You are never 718 00:42:26,239 --> 00:42:28,440 Speaker 1: allowed to challenge the science, which is not what science 719 00:42:28,600 --> 00:42:30,960 Speaker 1: is either, and that has been driving me crazy this 720 00:42:31,080 --> 00:42:33,480 Speaker 1: whole time. You're not even allowed to be skeptical about it. 721 00:42:33,800 --> 00:42:36,560 Speaker 1: They will take your YouTube page down, they will get 722 00:42:36,600 --> 00:42:38,920 Speaker 1: you off Twitter, and I think that is a really 723 00:42:39,040 --> 00:42:42,640 Speaker 1: destructive part of this as well, that we're gonna have 724 00:42:42,640 --> 00:42:45,960 Speaker 1: to keep living with. Yeah, it's really lab code authoritarianism. 725 00:42:46,200 --> 00:42:49,600 Speaker 1: That's what we have been suffering from. Because an actual 726 00:42:49,719 --> 00:42:53,040 Speaker 1: scientist or actual science would say, you don't believe this, 727 00:42:53,400 --> 00:42:56,000 Speaker 1: you know, let's let's test it. Let's see, we'll show 728 00:42:56,000 --> 00:42:58,479 Speaker 1: you the results. We'll show you the results again, Let's 729 00:42:58,560 --> 00:43:00,759 Speaker 1: keep doing it. You have a different theory, let's test 730 00:43:00,840 --> 00:43:03,480 Speaker 1: that theory. People will say things, and they would say 731 00:43:03,520 --> 00:43:05,839 Speaker 1: things to me even during the pandemic, although now they 732 00:43:05,920 --> 00:43:07,959 Speaker 1: back off a little bit because I was right about 733 00:43:08,000 --> 00:43:12,000 Speaker 1: schools I called double masking ninety five masks. There's there's 734 00:43:12,040 --> 00:43:14,320 Speaker 1: a number of things here where there's a written record. 735 00:43:14,440 --> 00:43:16,680 Speaker 1: Now and I say, huh, why why is it that 736 00:43:16,760 --> 00:43:19,920 Speaker 1: these things were knowable in advance without actually running these tests? So, 737 00:43:20,160 --> 00:43:22,200 Speaker 1: you know, kind of strutting my stuff a little bit 738 00:43:22,200 --> 00:43:25,880 Speaker 1: sometimes David. But the the what if I don't believe it? 739 00:43:26,160 --> 00:43:27,759 Speaker 1: Do I have to? I mean, what if I don't 740 00:43:27,800 --> 00:43:30,360 Speaker 1: believe it? Why do I have to believe everything everyone 741 00:43:30,440 --> 00:43:32,399 Speaker 1: tells me? And why am I not allowed to talk 742 00:43:32,440 --> 00:43:34,600 Speaker 1: about things I don't believe it? I don't even understand 743 00:43:35,000 --> 00:43:38,000 Speaker 1: what gives the power. But my point, my point is 744 00:43:38,000 --> 00:43:39,960 Speaker 1: that they'll say to me, well, what do you not? 745 00:43:40,160 --> 00:43:42,800 Speaker 1: You know? Okay, fine, sure you have your own opinion 746 00:43:42,840 --> 00:43:45,600 Speaker 1: about gravity, right, and that's supposed to be some great, 747 00:43:46,000 --> 00:43:49,240 Speaker 1: some great comeback or some great put down or whatever. 748 00:43:49,600 --> 00:43:53,040 Speaker 1: And I'll say, no, let's okay, let's go test gravity. 749 00:43:53,360 --> 00:43:55,560 Speaker 1: And no, nope, from no man of science would say 750 00:43:55,560 --> 00:43:57,920 Speaker 1: you're not allowed to test gravity. You're you're not allowed 751 00:43:57,920 --> 00:43:59,520 Speaker 1: to see if it actually works. Right. I know that's 752 00:43:59,520 --> 00:44:02,239 Speaker 1: a simple, but this is what they do. No. No, 753 00:44:04,160 --> 00:44:06,960 Speaker 1: if someone found a theory that disapproved gravity, I mean, 754 00:44:07,080 --> 00:44:09,600 Speaker 1: we give it a look, right, I mean, I'm sure 755 00:44:09,600 --> 00:44:12,440 Speaker 1: it could be debunked or whatever. But this isn't so 756 00:44:12,520 --> 00:44:14,520 Speaker 1: simple as you mean this. There's a million moving parts 757 00:44:14,600 --> 00:44:18,080 Speaker 1: to this and they've been consistently wrong about what would happen. 758 00:44:18,760 --> 00:44:21,279 Speaker 1: And that's why you know, I'm not diminishing science I'm 759 00:44:21,280 --> 00:44:24,640 Speaker 1: diminishing your theories because not everything is settled science, and 760 00:44:24,719 --> 00:44:28,080 Speaker 1: certainly we didn't know anything about coronavirus. We found you 761 00:44:28,160 --> 00:44:30,040 Speaker 1: was single kinds of stuff that never came true, that 762 00:44:30,160 --> 00:44:33,440 Speaker 1: was completely wrong. And I'm not allowed to say anything 763 00:44:33,520 --> 00:44:37,040 Speaker 1: negative about him now, And I think, I really hold. 764 00:44:37,200 --> 00:44:41,360 Speaker 1: I think the social media companies are are appalling. I 765 00:44:41,440 --> 00:44:43,560 Speaker 1: think what they've done has been so damaging to the 766 00:44:43,600 --> 00:44:48,000 Speaker 1: country because they really are now, especially for news media, 767 00:44:48,040 --> 00:44:50,880 Speaker 1: they're the public square, and you know, ideas can go 768 00:44:51,080 --> 00:44:53,400 Speaker 1: viral and people can get a lot of attention, and 769 00:44:53,560 --> 00:44:56,960 Speaker 1: that they would shut down policy decisions. I mean, I 770 00:44:57,040 --> 00:45:00,239 Speaker 1: get I get dinged on platforms all the time. I've 771 00:45:00,239 --> 00:45:02,120 Speaker 1: been thinking for making jokes even about it. I mean, 772 00:45:02,239 --> 00:45:05,879 Speaker 1: you can't, even if you say anything that pokes fun 773 00:45:05,960 --> 00:45:09,240 Speaker 1: at Fauciism or that undermines it, or that even asks 774 00:45:09,280 --> 00:45:11,680 Speaker 1: a question that's a little two pointed, you get this 775 00:45:11,880 --> 00:45:15,560 Speaker 1: little CDC link at the bottom of your thing. And 776 00:45:15,680 --> 00:45:17,480 Speaker 1: then and then what people don't realize is that in 777 00:45:17,560 --> 00:45:21,120 Speaker 1: the back end your flag now and you're throttled. So 778 00:45:21,239 --> 00:45:23,360 Speaker 1: they'll just make sure that basically no one sees the 779 00:45:23,480 --> 00:45:25,399 Speaker 1: next thing you write. The next you know, fifty things 780 00:45:25,440 --> 00:45:27,160 Speaker 1: you write, no one sees it. That's how they play 781 00:45:27,239 --> 00:45:30,839 Speaker 1: this game. I mean this is a kind of high 782 00:45:30,920 --> 00:45:34,920 Speaker 1: tech Soviet rewriting of discourse in real time. I mean, 783 00:45:34,960 --> 00:45:37,960 Speaker 1: this is something that you would expect, honestly in a 784 00:45:38,120 --> 00:45:40,759 Speaker 1: totalitarian society. I mean, I know people say, you have 785 00:45:40,840 --> 00:45:44,560 Speaker 1: other ways to communicate. Oh okay, yeah, I could print 786 00:45:44,600 --> 00:45:46,319 Speaker 1: a lot of leaflets and try to hand them out, 787 00:45:46,360 --> 00:45:47,960 Speaker 1: But I don't think I'm gonna be able to compete 788 00:45:48,239 --> 00:45:52,160 Speaker 1: with the lockdowners who have Twitter and Facebook and Google 789 00:45:52,560 --> 00:45:54,640 Speaker 1: doing all of their bidding. I don't think my leaflet 790 00:45:54,760 --> 00:45:58,320 Speaker 1: handing out like it's you know, seventeen seventy eight or 791 00:45:58,400 --> 00:46:00,880 Speaker 1: something is going to work that well. It's funny that 792 00:46:01,200 --> 00:46:03,319 Speaker 1: you mentioned the CDC with those little tags they put 793 00:46:03,400 --> 00:46:08,160 Speaker 1: on everything. The CDC has been a disaster for twenty 794 00:46:08,239 --> 00:46:11,480 Speaker 1: five or thirty years, right, I remember writing about this 795 00:46:11,640 --> 00:46:13,879 Speaker 1: when you know, years ago, more than a decade ago. 796 00:46:14,280 --> 00:46:18,280 Speaker 1: The CDC is wrong constantly. The CDC said, I forgot 797 00:46:18,320 --> 00:46:21,319 Speaker 1: what the number was, but like you know, huge number 798 00:46:21,360 --> 00:46:23,920 Speaker 1: of debts were because of obesity, and then someone actually 799 00:46:23,960 --> 00:46:25,880 Speaker 1: looked at the study and found that it was completely 800 00:46:25,920 --> 00:46:29,319 Speaker 1: wrong and only twenty thousand people, not only but twenty 801 00:46:29,360 --> 00:46:31,920 Speaker 1: thousand people died of obesity. And since then they've been 802 00:46:31,920 --> 00:46:35,719 Speaker 1: wrong about secondhand smoke. They're constantly wrong. They've become this 803 00:46:35,840 --> 00:46:39,840 Speaker 1: sort of nannyistic institution rather than an institution of science 804 00:46:39,880 --> 00:46:43,879 Speaker 1: in the way that people think about that. And yet 805 00:46:44,000 --> 00:46:45,480 Speaker 1: you know, we have to rely on them all the time. 806 00:46:45,480 --> 00:46:47,920 Speaker 1: We're not like there's some kind of tutalitarian institution that 807 00:46:48,000 --> 00:46:50,719 Speaker 1: can never be wrong about anything. Just another thing that 808 00:46:50,719 --> 00:46:52,560 Speaker 1: you mentioned about Facebook and not being able to talk 809 00:46:52,640 --> 00:46:55,239 Speaker 1: you Everyone always mentions if you mentioned Orwellian. They tell you, 810 00:46:55,480 --> 00:46:58,160 Speaker 1: you know, that's the state shutting you down. But Orwell 811 00:46:58,200 --> 00:47:01,320 Speaker 1: has a very famous essay where he talks about internalized 812 00:47:02,280 --> 00:47:05,960 Speaker 1: censorship and how it's more dangerous when a society starts 813 00:47:06,080 --> 00:47:08,799 Speaker 1: to not allow itself to debate anymore and talk about things. 814 00:47:08,840 --> 00:47:11,560 Speaker 1: It's not just about the state, it's about the ability 815 00:47:11,640 --> 00:47:14,920 Speaker 1: to debate issues and talk about them. And we're having 816 00:47:14,960 --> 00:47:17,359 Speaker 1: a hard time doing that. I think in society, if 817 00:47:17,440 --> 00:47:19,920 Speaker 1: we had an easy time, Cuomo would be at twenty 818 00:47:20,000 --> 00:47:23,560 Speaker 1: percent of popularity in New York, not seventy. You know, 819 00:47:24,080 --> 00:47:26,719 Speaker 1: we're speaking to David Harsani of National Review National Review 820 00:47:26,800 --> 00:47:29,480 Speaker 1: dot Com for his latest. He's also an author of 821 00:47:29,560 --> 00:47:32,239 Speaker 1: a book on firearms. And it made me think about this, David, 822 00:47:32,320 --> 00:47:35,200 Speaker 1: because the history of firearms in this country, because it 823 00:47:35,280 --> 00:47:38,719 Speaker 1: isn't the CDC the institution that Democrats always want to 824 00:47:38,880 --> 00:47:42,640 Speaker 1: study gun violence, as if like Faucci, Fauci and his 825 00:47:42,760 --> 00:47:45,719 Speaker 1: gang will come together, like you know, if we just 826 00:47:46,520 --> 00:47:49,279 Speaker 1: don't point the guns in the wrong direction, everyone will 827 00:47:49,320 --> 00:47:51,040 Speaker 1: be safe. I mean, like that they actually do this 828 00:47:51,160 --> 00:47:54,399 Speaker 1: kind of stuff or they want to. Yeah, yeah, Well, 829 00:47:54,400 --> 00:47:56,160 Speaker 1: first of all, it's a myth that the CDC doesn't 830 00:47:56,239 --> 00:47:59,880 Speaker 1: study gun violence. Is the Obama administration set aside million 831 00:48:00,040 --> 00:48:01,759 Speaker 1: to let it study gun violence? And you know what 832 00:48:01,840 --> 00:48:03,520 Speaker 1: that means, right, it's just the study of how bad 833 00:48:03,560 --> 00:48:06,240 Speaker 1: guns are. And I will admit right now and concede 834 00:48:06,280 --> 00:48:08,120 Speaker 1: that when someone shoots someone else, it's not a good 835 00:48:08,160 --> 00:48:10,359 Speaker 1: thing and people are hurt by it. So I don't 836 00:48:10,400 --> 00:48:12,600 Speaker 1: know about that. But what they want to do is 837 00:48:12,680 --> 00:48:16,080 Speaker 1: say like people even owning guns psychologically hurts them or 838 00:48:16,320 --> 00:48:19,960 Speaker 1: whatever they want to say. And the studies they have 839 00:48:20,160 --> 00:48:22,920 Speaker 1: had are completely misleading. And when they had a study 840 00:48:23,320 --> 00:48:25,239 Speaker 1: in twenty ef yet what year was, but not that 841 00:48:25,400 --> 00:48:28,680 Speaker 1: long ago last decade that showed that guns were actually 842 00:48:28,840 --> 00:48:32,920 Speaker 1: something that people enjoyed and made them more, you know, 843 00:48:33,080 --> 00:48:36,400 Speaker 1: believe in themselves more and feel better about their protection 844 00:48:36,440 --> 00:48:39,239 Speaker 1: of their houses, and that it did more to help 845 00:48:39,320 --> 00:48:42,680 Speaker 1: people protect their families than hurt their families. No one 846 00:48:42,719 --> 00:48:45,719 Speaker 1: in the media even talked about that study, saying it's 847 00:48:45,760 --> 00:48:51,239 Speaker 1: completely selective what they highlight and and you know, so, yeah, 848 00:48:51,280 --> 00:48:54,040 Speaker 1: the CDC on guns is pretty much a joke. And 849 00:48:54,120 --> 00:48:56,080 Speaker 1: by the way, when they say, you know, the CDC 850 00:48:56,200 --> 00:48:58,840 Speaker 1: doesn't always do the study. Sometimes they fund these institutions 851 00:48:58,920 --> 00:49:01,600 Speaker 1: that do the studies. And that's what happened with that 852 00:49:01,719 --> 00:49:04,080 Speaker 1: last one. It didn't get the outcome they wanted. And 853 00:49:04,280 --> 00:49:06,320 Speaker 1: just before let you go, David, I saw that the 854 00:49:06,360 --> 00:49:08,880 Speaker 1: Biden administration has been floating out there they're going to 855 00:49:09,000 --> 00:49:12,080 Speaker 1: do something on guns. I now, you study this closely. 856 00:49:12,080 --> 00:49:14,200 Speaker 1: I know you've got a book on guns. What do 857 00:49:14,239 --> 00:49:16,680 Speaker 1: you think is going to happen? Is nothing new and 858 00:49:16,719 --> 00:49:19,879 Speaker 1: it's all kind of like all lies. Whenever someone says 859 00:49:19,960 --> 00:49:22,799 Speaker 1: loophole for a Democrat, that just means there are there 860 00:49:22,920 --> 00:49:24,800 Speaker 1: is no law there that they want a law to exist. 861 00:49:24,840 --> 00:49:27,840 Speaker 1: It's not actual loopholes is a thing, right, It's like, 862 00:49:28,280 --> 00:49:30,720 Speaker 1: you know, they want they say there is a loophole 863 00:49:30,760 --> 00:49:33,120 Speaker 1: of people people don't have to go through background checks, 864 00:49:33,160 --> 00:49:35,800 Speaker 1: where there is no such loophole. There does not exist. 865 00:49:36,200 --> 00:49:38,120 Speaker 1: They just want to make sure the family members can't 866 00:49:38,160 --> 00:49:41,000 Speaker 1: give guns to their you know, to their uncle or 867 00:49:41,080 --> 00:49:43,200 Speaker 1: whatever for self, you know, for protection or whatever they 868 00:49:43,239 --> 00:49:45,000 Speaker 1: want to use it for. But the other things like 869 00:49:45,080 --> 00:49:48,279 Speaker 1: assault weapon bans and forgot what else is in there, 870 00:49:50,000 --> 00:49:52,440 Speaker 1: are not going to pass Congress. I'm positive of that, 871 00:49:53,000 --> 00:49:56,120 Speaker 1: so he might try to do it through executive orders. 872 00:49:56,480 --> 00:49:59,160 Speaker 1: I think assault weapon ban, if taken to the Supreme 873 00:49:59,200 --> 00:50:01,879 Speaker 1: Court would be found o constitutional because it's simply about 874 00:50:02,480 --> 00:50:05,360 Speaker 1: the aesthetics of a weapon, not very much to do 875 00:50:05,480 --> 00:50:08,840 Speaker 1: with the actual deadliness and things like that. So I 876 00:50:08,960 --> 00:50:11,040 Speaker 1: almost hope that they try it and see what happens. 877 00:50:11,120 --> 00:50:12,960 Speaker 1: This is not a Supreme Court. I think if if 878 00:50:13,040 --> 00:50:16,480 Speaker 1: Heller existed, then I don't I don't think they'd have 879 00:50:16,520 --> 00:50:18,080 Speaker 1: a better shot at it now, though I'm a little 880 00:50:18,080 --> 00:50:20,000 Speaker 1: worried it would be a little worried about Roberts, but 881 00:50:20,719 --> 00:50:22,879 Speaker 1: you know, but I don't think they'll pass. We'll see. 882 00:50:23,640 --> 00:50:26,799 Speaker 1: David Harsani Nationalview dot Com for his latest piece, David, 883 00:50:26,880 --> 00:50:28,600 Speaker 1: thanks so much anytime. Thank you