1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and buck 2 00:00:03,360 --> 00:00:08,039 Speaker 1: Sexton Show podcast. Welcome back in Glay Travis buck Sexton Show. 3 00:00:08,240 --> 00:00:12,200 Speaker 1: Final day of February. Encourage all of you to go 4 00:00:12,240 --> 00:00:15,720 Speaker 1: subscribe to the podcast. Help us set another all time record. 5 00:00:15,760 --> 00:00:18,400 Speaker 1: I hope we're going to do that shorter month. Not 6 00:00:18,520 --> 00:00:21,920 Speaker 1: sure exactly what to anticipate, but you guys can make 7 00:00:21,920 --> 00:00:24,919 Speaker 1: sure that by searching out Clay Travis buck Sexton. Go 8 00:00:24,920 --> 00:00:27,840 Speaker 1: give us five stars and go subscribe. We bring in 9 00:00:27,880 --> 00:00:30,760 Speaker 1: now Alex Barnson. We were scheduled to talk to him 10 00:00:31,040 --> 00:00:34,920 Speaker 1: on Friday, he joins us. Now, Alex, appreciate you making 11 00:00:35,000 --> 00:00:38,400 Speaker 1: the time. Everything good in the family, Everything is fine, 12 00:00:38,479 --> 00:00:42,680 Speaker 1: The emergency is over, and say no more. Okay, good deal. 13 00:00:42,680 --> 00:00:45,839 Speaker 1: All right, let's dive into the latest on COVID. I 14 00:00:45,880 --> 00:00:48,600 Speaker 1: want to know what your reaction was from the CDC's 15 00:00:48,720 --> 00:00:53,320 Speaker 1: statements on Friday dealing with mask wearing. Then on Sunday 16 00:00:53,440 --> 00:00:57,840 Speaker 1: we had the Congressional Health officials say, oh, by the way, 17 00:00:58,000 --> 00:01:00,760 Speaker 1: you don't have to wear a mask on Capitol Hill anymore. 18 00:01:01,120 --> 00:01:04,640 Speaker 1: We've seen, certainly cities and states, New York City and 19 00:01:04,720 --> 00:01:07,959 Speaker 1: New York memorably of late saying, hey, kids don't have 20 00:01:08,040 --> 00:01:10,600 Speaker 1: to wear in the state of New York starting Wednesday, 21 00:01:10,640 --> 00:01:14,240 Speaker 1: masks anymore. New York City's done away with outdoor masking, 22 00:01:14,280 --> 00:01:17,400 Speaker 1: and they say maybe by March seventh it can go away. Overall, 23 00:01:17,880 --> 00:01:21,520 Speaker 1: what are we seeing? And is this all an example 24 00:01:21,640 --> 00:01:26,080 Speaker 1: not of science but political science based on the data? Well, 25 00:01:26,120 --> 00:01:30,080 Speaker 1: I mean it's it's science in the sense that you know, 26 00:01:30,160 --> 00:01:33,080 Speaker 1: masks do nothing. Uh, and you know in cloth and 27 00:01:33,080 --> 00:01:35,840 Speaker 1: surgical masks certainly do nothing and I ninety five probably 28 00:01:35,880 --> 00:01:39,319 Speaker 1: do close to nothing unless you you know, wear them properly. 29 00:01:39,319 --> 00:01:42,240 Speaker 1: We've talked about this for years. So so they are 30 00:01:42,319 --> 00:01:47,080 Speaker 1: finely following the science. Uh, you know, they have covered 31 00:01:47,120 --> 00:01:50,040 Speaker 1: to do it right now because amicron is you know, 32 00:01:50,160 --> 00:01:54,520 Speaker 1: is fading in the United States. Fortunately, there will be 33 00:01:54,560 --> 00:01:58,600 Speaker 1: another variant. Almost certainly cases will go back up, whether 34 00:01:58,680 --> 00:02:01,440 Speaker 1: that's in the summer in South as you know, as 35 00:02:01,440 --> 00:02:04,800 Speaker 1: there's happened two years in a row, or whether you know, 36 00:02:05,000 --> 00:02:09,280 Speaker 1: something else happens. Uh in let's say in California, you know, 37 00:02:09,280 --> 00:02:11,600 Speaker 1: which which hasn't been hit as hard. You know, the 38 00:02:11,600 --> 00:02:13,320 Speaker 1: West Coast hasn't been hit as hard as some other 39 00:02:13,320 --> 00:02:15,920 Speaker 1: places for whatever reason. So they're a little bit more vulnerable. 40 00:02:16,160 --> 00:02:19,360 Speaker 1: There will be there will be more COVID. But the 41 00:02:19,440 --> 00:02:22,520 Speaker 1: Democrats know you know where the country is. They know 42 00:02:22,600 --> 00:02:27,040 Speaker 1: this is killing them politically. Um, and the zeitgeist has changed. Uh, 43 00:02:27,600 --> 00:02:30,520 Speaker 1: I don't know. You know you mentioned Friday and Sunday, 44 00:02:30,600 --> 00:02:33,360 Speaker 1: but on Saturday Night there was maybe the most shocking 45 00:02:33,440 --> 00:02:35,960 Speaker 1: thing of all was that this Saturday Night Live skit 46 00:02:36,639 --> 00:02:39,200 Speaker 1: um where we're going to play in this hour for 47 00:02:39,240 --> 00:02:41,000 Speaker 1: everybody out there, you didn't see it. I will not 48 00:02:41,080 --> 00:02:43,320 Speaker 1: I will not step on it. Then. I mean, but 49 00:02:43,520 --> 00:02:46,000 Speaker 1: you know, if if if Saturday Night Live, which is 50 00:02:46,160 --> 00:02:48,799 Speaker 1: you know, as liberal a place and unfortunately as on 51 00:02:48,960 --> 00:02:52,240 Speaker 1: funny a place these days, as they come, um, you know, 52 00:02:52,360 --> 00:02:55,040 Speaker 1: it feels that they can make jokes about masks and 53 00:02:55,080 --> 00:02:56,920 Speaker 1: make jokes about sort of it's you know the skit 54 00:02:57,000 --> 00:02:58,799 Speaker 1: really as your listeners will hear as more about the 55 00:02:58,880 --> 00:03:03,040 Speaker 1: attitude of these people. And then something has changed. And 56 00:03:03,120 --> 00:03:08,040 Speaker 1: you know I substact about this yesterday and I said, 57 00:03:08,080 --> 00:03:11,040 Speaker 1: you know, my joke was two jokes on this one. 58 00:03:11,200 --> 00:03:13,160 Speaker 1: Thank God, I never have to go to dinner with 59 00:03:13,200 --> 00:03:17,040 Speaker 1: any of these people ever again. You know, they won't 60 00:03:17,040 --> 00:03:19,600 Speaker 1: have me and I don't want them. You know, And 61 00:03:19,960 --> 00:03:22,680 Speaker 1: the second joke is, imagine what they would think if 62 00:03:22,680 --> 00:03:26,359 Speaker 1: they actually knew what the data about vaccines really said. Well, Alex, 63 00:03:26,360 --> 00:03:27,839 Speaker 1: that's what I wanted to ask you next, And we're 64 00:03:27,840 --> 00:03:32,200 Speaker 1: talking to Alex Barnson, author of Pandemia. Subscribe to a substack. 65 00:03:32,480 --> 00:03:35,600 Speaker 1: I get it every day. I'm a subscriber and it's 66 00:03:35,600 --> 00:03:42,480 Speaker 1: been fantastic, Alex. The final stronghold really of Fauciism, the 67 00:03:42,520 --> 00:03:46,720 Speaker 1: one that they view as unassailable, is the vaccines were 68 00:03:47,000 --> 00:03:52,720 Speaker 1: incredibly effective at stopping hospitalization and death. Clearly not effective 69 00:03:52,760 --> 00:03:55,080 Speaker 1: at stopping spread, which they said, and we have the 70 00:03:55,160 --> 00:03:57,600 Speaker 1: receipts and we've played that audio many many times on 71 00:03:57,640 --> 00:04:00,840 Speaker 1: the show. That was wrong, full stop wrong. I think 72 00:04:00,880 --> 00:04:04,600 Speaker 1: everybody who just witnessed omicron in America realizes did not 73 00:04:04,720 --> 00:04:06,960 Speaker 1: stop the spread. And really, I don't know if it's 74 00:04:06,960 --> 00:04:08,680 Speaker 1: stopped the spread at all. I don't know if anyone 75 00:04:08,720 --> 00:04:10,840 Speaker 1: could make the case at even you know, thirty percent 76 00:04:10,960 --> 00:04:12,880 Speaker 1: or twenty percent or whatever. But put that aside for 77 00:04:12,880 --> 00:04:16,919 Speaker 1: a moment. The final stronghold is hospitalization and death. We 78 00:04:17,000 --> 00:04:19,320 Speaker 1: haven't heard a lot about updates in the data. What 79 00:04:19,520 --> 00:04:24,240 Speaker 1: is the data telling us now about that final assertion 80 00:04:24,440 --> 00:04:29,240 Speaker 1: of fauciism. So so it is it is incredibly clear 81 00:04:29,680 --> 00:04:34,279 Speaker 1: that that the vaccines are less effective against hospitalization and 82 00:04:34,360 --> 00:04:37,680 Speaker 1: death when it comes to amacon um. You know that 83 00:04:37,680 --> 00:04:42,360 Speaker 1: that's inarguable. Whether here you know, listen, here's the thing. 84 00:04:42,680 --> 00:04:47,720 Speaker 1: The very complicated in the epidemiology is really complicated. My 85 00:04:47,839 --> 00:04:51,320 Speaker 1: best take on this is that you once you once 86 00:04:51,360 --> 00:04:53,680 Speaker 1: you're vaccinated, and you saw this last year. Okay, you 87 00:04:53,720 --> 00:04:56,080 Speaker 1: saw it in Israel, even saw it in the US 88 00:04:56,200 --> 00:05:00,720 Speaker 1: last spread. After that second dose hits, you get a 89 00:05:00,760 --> 00:05:05,039 Speaker 1: couple months of a real protection, real protection from infection, 90 00:05:05,320 --> 00:05:10,200 Speaker 1: and then downstream protection from hospitalization and death. The protection 91 00:05:10,279 --> 00:05:13,080 Speaker 1: from infection, as you just said, goes away, it goes 92 00:05:13,120 --> 00:05:17,040 Speaker 1: to zero. It probably goes negative for amicon because amicon 93 00:05:17,160 --> 00:05:20,720 Speaker 1: is the spike is different. There's some evidence of you know, 94 00:05:20,760 --> 00:05:24,479 Speaker 1: immune imprinting. This again it gets complicated, but but I 95 00:05:24,480 --> 00:05:26,359 Speaker 1: would say this is pretty good evidence that it's not 96 00:05:26,400 --> 00:05:29,040 Speaker 1: just zero protection, but they're actually more like would be infected. 97 00:05:29,080 --> 00:05:30,719 Speaker 1: And I think everyone in the United States saw this. 98 00:05:31,080 --> 00:05:34,359 Speaker 1: They saw people where they personally were vaccinated and in 99 00:05:34,360 --> 00:05:37,039 Speaker 1: many cases boosted and then they got omicron. So the 100 00:05:37,120 --> 00:05:41,720 Speaker 1: question is do you have some protection either you know, 101 00:05:41,760 --> 00:05:44,400 Speaker 1: at the antibody level or at the at the T 102 00:05:44,560 --> 00:05:48,520 Speaker 1: cell level, that's gonna that's gonna provide protection from really 103 00:05:48,600 --> 00:05:53,280 Speaker 1: negative outcomes. And um, the data is just it's just 104 00:05:53,440 --> 00:05:58,160 Speaker 1: messy and muddy. You probably get some protection again in 105 00:05:58,160 --> 00:06:02,400 Speaker 1: that in that first few months after after the second 106 00:06:02,440 --> 00:06:06,440 Speaker 1: dose again this against omicons. Then it goes away. Then 107 00:06:06,600 --> 00:06:11,200 Speaker 1: if you boost, you get it back very briefly, more briefly, okay. 108 00:06:11,240 --> 00:06:13,640 Speaker 1: And that's why they were talking about a second booster 109 00:06:13,760 --> 00:06:16,159 Speaker 1: in a place like Israel. But they but they dropped 110 00:06:16,279 --> 00:06:20,200 Speaker 1: that because it's clear that there's diminishing terms. So so 111 00:06:20,240 --> 00:06:22,920 Speaker 1: what I'm saying to you is when I tell you 112 00:06:23,040 --> 00:06:25,960 Speaker 1: we really don't know, but the protection is at best 113 00:06:26,040 --> 00:06:30,080 Speaker 1: very limited, that is the best answer. Okay. And but 114 00:06:30,120 --> 00:06:33,400 Speaker 1: there's a flipside to this, Okay, it's not just protection 115 00:06:33,800 --> 00:06:38,640 Speaker 1: against COVID. You're vaccinating healthy people. If there are other risks, 116 00:06:38,680 --> 00:06:43,800 Speaker 1: whether those risks are cardiac or otherwise, to a vaccine, 117 00:06:44,120 --> 00:06:46,720 Speaker 1: those have to be taken into account before you vaccinated. 118 00:06:46,800 --> 00:06:48,919 Speaker 1: Even pretending that it's all free and that you know, 119 00:06:48,960 --> 00:06:50,920 Speaker 1: it doesn't disrupt people's lives and they get sick for 120 00:06:51,000 --> 00:06:54,920 Speaker 1: twenty four hours or whatever, if there's other risks, you 121 00:06:55,040 --> 00:06:57,320 Speaker 1: need to let that out. And we've never done that, 122 00:06:57,400 --> 00:06:59,440 Speaker 1: and we're never going to do it. I think the 123 00:06:59,440 --> 00:07:02,640 Speaker 1: powers that are too afraid of what the answer would be, 124 00:07:02,920 --> 00:07:04,680 Speaker 1: even if we could do it, they're not going to 125 00:07:04,760 --> 00:07:07,560 Speaker 1: do it. And the big clinical trials from twenty twenty 126 00:07:07,680 --> 00:07:10,560 Speaker 1: have been completely disrupted because everybody who was in the 127 00:07:10,560 --> 00:07:14,040 Speaker 1: placebo arm, everybody who didn't initially get the vaccine, almost 128 00:07:14,080 --> 00:07:18,120 Speaker 1: all those people wound up getting the vaccine very shortly thereafter. 129 00:07:18,480 --> 00:07:21,240 Speaker 1: And the truth is it's going to be really hard 130 00:07:21,240 --> 00:07:22,760 Speaker 1: to get the data. I'm going to give you one 131 00:07:22,840 --> 00:07:27,800 Speaker 1: other fact about this. In the last summer and fall, 132 00:07:28,720 --> 00:07:31,760 Speaker 1: especially in the fall in Europe, especially where the data 133 00:07:31,840 --> 00:07:34,680 Speaker 1: is quicker and better, there was a significant rise in 134 00:07:34,760 --> 00:07:38,800 Speaker 1: all COSE mortality. Okay, that rise seems to have ended 135 00:07:38,840 --> 00:07:41,240 Speaker 1: in Germany and the UK. We should all be very 136 00:07:41,280 --> 00:07:44,360 Speaker 1: happy about that. But to me, that raises the question. 137 00:07:44,640 --> 00:07:47,120 Speaker 1: I'm talking about non COVID. I'm talking about mainly people 138 00:07:47,200 --> 00:07:51,680 Speaker 1: dying from heart attacks and heart disease. What happened last 139 00:07:51,760 --> 00:07:53,840 Speaker 1: summer and fall to drive that? And if you want 140 00:07:53,840 --> 00:07:57,240 Speaker 1: to tell me that somehow it was disruption in medical 141 00:07:57,280 --> 00:08:00,480 Speaker 1: care or people. You know, people didn't get their care 142 00:08:00,520 --> 00:08:02,240 Speaker 1: or they were afraid to go to the hostel. You 143 00:08:02,320 --> 00:08:04,400 Speaker 1: have to tell me why it didn't happen before that, 144 00:08:04,960 --> 00:08:07,440 Speaker 1: and why it hasn't happened since then. And yet it 145 00:08:07,560 --> 00:08:11,600 Speaker 1: happened in the months following these mass vaccination campaigns all 146 00:08:11,640 --> 00:08:13,760 Speaker 1: over Europe, and it happened in the US too, And 147 00:08:15,160 --> 00:08:17,880 Speaker 1: I suspect the answer to that is probably that for 148 00:08:17,960 --> 00:08:21,720 Speaker 1: some people there's some cardiotoxicity associated with these vaccines. We 149 00:08:21,800 --> 00:08:25,240 Speaker 1: know that's true with myocarditis and young people. We don't know, 150 00:08:25,400 --> 00:08:28,520 Speaker 1: if you know, if the risks extend sort of out 151 00:08:28,640 --> 00:08:31,680 Speaker 1: past that. And that's the kind of work that we 152 00:08:32,160 --> 00:08:34,679 Speaker 1: as we as you know, not we, but scientists, and 153 00:08:34,760 --> 00:08:38,079 Speaker 1: we as a country and scientists researchers should be doing. 154 00:08:38,400 --> 00:08:41,560 Speaker 1: We're not really doing it, Alex. Do we have any 155 00:08:41,600 --> 00:08:46,760 Speaker 1: indication what percentage of Americans have now had omicron? I mean, 156 00:08:46,800 --> 00:08:48,880 Speaker 1: it feels Buck and I have both had it. A 157 00:08:49,000 --> 00:08:52,000 Speaker 1: huge percentage of our listenership has certainly had it, and 158 00:08:52,080 --> 00:08:54,120 Speaker 1: many of them may have had it not even known it. 159 00:08:54,559 --> 00:08:57,480 Speaker 1: Do we have any kind of reliable data? I bet 160 00:08:57,520 --> 00:09:00,559 Speaker 1: the answer is no. But on what percentage of people 161 00:09:00,640 --> 00:09:04,360 Speaker 1: had omicron now? As we come out of the omicron surge, 162 00:09:05,760 --> 00:09:09,280 Speaker 1: we really we really don't The one good number that 163 00:09:09,320 --> 00:09:11,199 Speaker 1: I've seen, and this is sort of it's a partial 164 00:09:11,240 --> 00:09:14,120 Speaker 1: data point, but it's an interesting one in the UK, 165 00:09:15,800 --> 00:09:19,120 Speaker 1: where they weren't vaccinating kids under twelve until just recently 166 00:09:19,120 --> 00:09:21,559 Speaker 1: and they just they just started a vaccination campaign, but 167 00:09:21,600 --> 00:09:24,080 Speaker 1: they really it's a really weak vaccination Champa, and they 168 00:09:24,160 --> 00:09:26,240 Speaker 1: really don't want to vaccinate kids under twelve, but they 169 00:09:26,280 --> 00:09:29,240 Speaker 1: just sort of didn't want to go against uh, you know, 170 00:09:29,360 --> 00:09:32,000 Speaker 1: they didn't want to annoy a fiser or I shouldn't 171 00:09:32,000 --> 00:09:33,880 Speaker 1: say they didn't want to annoy fighter. For whatever reason, 172 00:09:34,080 --> 00:09:36,800 Speaker 1: they decided to move forward with this incredibly weak vaccination mr. 173 00:09:36,920 --> 00:09:39,640 Speaker 1: The reason I mentioned this is that kids under twelve 174 00:09:39,640 --> 00:09:42,199 Speaker 1: were not being vaccinated, so you could see who had 175 00:09:42,280 --> 00:09:46,960 Speaker 1: antibodies in that population. And in the UK before Omicron, 176 00:09:47,360 --> 00:09:51,040 Speaker 1: sixty percent of all the kids in the UK had antibody, 177 00:09:51,080 --> 00:09:53,240 Speaker 1: So that tells you how widespread it was and how 178 00:09:53,280 --> 00:09:56,880 Speaker 1: little damage it was due to those kids. Now it's 179 00:09:56,920 --> 00:09:59,600 Speaker 1: like ninety eight percent, So that tells you that they 180 00:09:59,720 --> 00:10:03,760 Speaker 1: leavest in Britain, basically anybody who wasn't already infected with 181 00:10:03,800 --> 00:10:07,160 Speaker 1: stars Cove too got it during the last search, and 182 00:10:07,240 --> 00:10:10,920 Speaker 1: I suspect it's the same in the US. Alex's beeen 183 00:10:10,960 --> 00:10:15,559 Speaker 1: Alex Barrinson, author of Pandemia. I have this this dream 184 00:10:16,160 --> 00:10:19,320 Speaker 1: that the people who were pushing all this and were 185 00:10:19,400 --> 00:10:23,400 Speaker 1: so adamant that they were right, and we're really vicious 186 00:10:23,679 --> 00:10:28,280 Speaker 1: to people like you specifically and others who even raised 187 00:10:28,360 --> 00:10:31,439 Speaker 1: alternative points of view and interpretations of data, whether it's 188 00:10:31,480 --> 00:10:34,760 Speaker 1: Fauci or people in the media. Will have to defend 189 00:10:34,840 --> 00:10:37,840 Speaker 1: some of this at some point publicly, you know. I 190 00:10:37,920 --> 00:10:40,480 Speaker 1: want there to be debates where someone gets to show up. 191 00:10:40,480 --> 00:10:43,720 Speaker 1: I mean, I want to see Secretary of Transportation Pete 192 00:10:43,720 --> 00:10:47,679 Speaker 1: Buddha Judge on TV try to defend the mask mandate 193 00:10:47,720 --> 00:10:50,080 Speaker 1: on planes when masks have been dropped everywhere else, like 194 00:10:50,120 --> 00:10:52,480 Speaker 1: I want. Do you have any faith that there will 195 00:10:52,520 --> 00:10:54,760 Speaker 1: be accountability for some of this stuff? Do you have 196 00:10:54,800 --> 00:10:57,320 Speaker 1: any any vision for how we can make sure? Because 197 00:10:57,360 --> 00:10:59,120 Speaker 1: I don't think this stuff is gone for good. I 198 00:10:59,120 --> 00:11:03,240 Speaker 1: don't think you do. Ere No, I don't. I mean here, 199 00:11:03,280 --> 00:11:06,160 Speaker 1: in fact, I just put out a substack like just 200 00:11:06,240 --> 00:11:08,960 Speaker 1: before you guys called, um, there's a and I've never 201 00:11:08,960 --> 00:11:10,719 Speaker 1: heard of this person, but there's somebody on Twitter called 202 00:11:10,800 --> 00:11:14,400 Speaker 1: unacceptable Canadian girl and she just tweeted. She tweeted three 203 00:11:14,440 --> 00:11:16,920 Speaker 1: hours ago. There's only three hours ago. I guess everyone 204 00:11:16,920 --> 00:11:20,000 Speaker 1: knows doctor Robert Malone, all experience in doctor Peter McCall it, 205 00:11:20,120 --> 00:11:23,200 Speaker 1: Jordan Peterson, and Joe Rogan an apology that tweet in 206 00:11:23,280 --> 00:11:27,319 Speaker 1: three hours has been liked now thirty thousand times. Okay, 207 00:11:27,480 --> 00:11:31,560 Speaker 1: So so they're never going to admit it, but they know, 208 00:11:31,920 --> 00:11:34,720 Speaker 1: and we know they know, and the world knows. Okay, 209 00:11:34,920 --> 00:11:38,280 Speaker 1: and I and you know, The Atlantic about a year ago, 210 00:11:38,320 --> 00:11:41,120 Speaker 1: almost a year ago, wrote a piece about me that 211 00:11:41,200 --> 00:11:44,920 Speaker 1: was headlined to the pandemics wrongest Man. And so every 212 00:11:44,920 --> 00:11:47,679 Speaker 1: you know, every few days I put something out on 213 00:11:47,720 --> 00:11:50,920 Speaker 1: my substack and something that like I was right about 214 00:11:51,240 --> 00:11:54,160 Speaker 1: six months before, you know, or sometimes it's you know, 215 00:11:54,200 --> 00:11:57,480 Speaker 1: twelve months before and is now being said, you know 216 00:11:57,559 --> 00:11:59,959 Speaker 1: and agreed, and I call it the Pandemic's wrongest Man. 217 00:12:00,000 --> 00:12:04,160 Speaker 1: An occasional serious Yeah. But so Alex want to that point. 218 00:12:04,320 --> 00:12:07,480 Speaker 1: I've seen you point out that Twitter is actually you 219 00:12:08,040 --> 00:12:11,360 Speaker 1: in retrospect. Now change the way that they flagged some 220 00:12:11,440 --> 00:12:13,880 Speaker 1: of the tweets that got you suspended, and we know 221 00:12:14,360 --> 00:12:17,400 Speaker 1: you've got the lawsuit against Twitter. Do you think it's 222 00:12:17,440 --> 00:12:20,600 Speaker 1: possible that Twitter could ever allow you to return based 223 00:12:20,679 --> 00:12:24,080 Speaker 1: on the shifting guidance that they are putting on your 224 00:12:25,520 --> 00:12:29,079 Speaker 1: tweets that they labeled as as as is not permissible. 225 00:12:30,120 --> 00:12:33,280 Speaker 1: It's possible, I mean, you know, whether or not. You know, 226 00:12:33,360 --> 00:12:36,920 Speaker 1: I have to you know, when when, not necessarily the 227 00:12:36,960 --> 00:12:39,480 Speaker 1: whole lawsuit, but survive what's called the motion to dismiss, 228 00:12:39,960 --> 00:12:41,840 Speaker 1: to to get them to do that, whether or not 229 00:12:41,880 --> 00:12:45,079 Speaker 1: they'll do that simply on their own because they've seen Uh, 230 00:12:45,120 --> 00:12:46,839 Speaker 1: you know, I don't want to speak for Twitter. It's 231 00:12:46,960 --> 00:12:49,280 Speaker 1: you know, it's up to them. I think that I 232 00:12:49,360 --> 00:12:52,760 Speaker 1: have been you know, essentially proven correct and should be 233 00:12:52,880 --> 00:12:55,520 Speaker 1: let back on. And but you know, if they don't 234 00:12:55,520 --> 00:12:57,120 Speaker 1: want to let me back on, I you know, I 235 00:12:57,160 --> 00:12:59,720 Speaker 1: have this lawsuit and and I am pursuing it. Um 236 00:13:00,280 --> 00:13:03,880 Speaker 1: you know, but again, whether or not people are going 237 00:13:03,920 --> 00:13:06,520 Speaker 1: to admit this, it's not just that you and I know, 238 00:13:06,840 --> 00:13:08,680 Speaker 1: it's that the world knows. And you know, the guy 239 00:13:08,760 --> 00:13:11,679 Speaker 1: who wrote that piece about me in the Atlantic wrote 240 00:13:11,760 --> 00:13:13,960 Speaker 1: this piece a couple weeks before that. This is in 241 00:13:14,000 --> 00:13:16,400 Speaker 1: February twenty twenty, and I and I didn't have time 242 00:13:16,440 --> 00:13:19,280 Speaker 1: to put it out, but there's there's this amazing paragraph 243 00:13:19,320 --> 00:13:22,040 Speaker 1: in it about how wonderful the vaccines are, and there's 244 00:13:22,080 --> 00:13:25,080 Speaker 1: five sentences in it, and four of the sentences are 245 00:13:25,200 --> 00:13:28,240 Speaker 1: provably wrong and the fifth onences we need to collect 246 00:13:28,240 --> 00:13:33,200 Speaker 1: more data. Okay, So these people are moron and they 247 00:13:33,360 --> 00:13:37,280 Speaker 1: sounds like me. It sounds like me talking to my wife, 248 00:13:38,320 --> 00:13:41,520 Speaker 1: you know, and like and they've been proven wrong and 249 00:13:41,559 --> 00:13:44,520 Speaker 1: they can't take it back. So what we need to 250 00:13:44,559 --> 00:13:47,800 Speaker 1: do is focus on a couple of things. I think one, 251 00:13:48,440 --> 00:13:51,400 Speaker 1: you know, make sure this doesn't happen again, make sure 252 00:13:51,440 --> 00:13:54,240 Speaker 1: there's never this kind of overreaction. And then I think 253 00:13:54,280 --> 00:13:57,439 Speaker 1: the second thing that you know, when the Republicans presumably 254 00:13:57,440 --> 00:14:00,319 Speaker 1: they're going to take Congress next year early next year, 255 00:14:00,760 --> 00:14:03,760 Speaker 1: what they need to do is chased down the lab 256 00:14:03,880 --> 00:14:06,760 Speaker 1: leak issues and what there are not outsheet what he 257 00:14:06,880 --> 00:14:10,359 Speaker 1: knew and why he tried to discourage anyone from investigating 258 00:14:10,360 --> 00:14:14,240 Speaker 1: those issues, because that is potentially criminal behavior. Okay, can 259 00:14:14,320 --> 00:14:16,439 Speaker 1: you come back, by the way, alexand because we didn't 260 00:14:16,440 --> 00:14:18,760 Speaker 1: ask you about that lab leak theory, and that lab 261 00:14:18,840 --> 00:14:21,960 Speaker 1: leak theory is getting a wild amount of attention right now, 262 00:14:22,000 --> 00:14:23,640 Speaker 1: can you come back and tell us what you've written 263 00:14:23,640 --> 00:14:27,480 Speaker 1: about that? Sure? All right, when we come back, we'll 264 00:14:27,520 --> 00:14:30,760 Speaker 1: ask him about that story at the New York Times 265 00:14:30,840 --> 00:14:34,280 Speaker 1: is flagging like crazy, saying that it didn't come out 266 00:14:34,360 --> 00:14:37,240 Speaker 1: of a lab. But in the meantime, Michael Lindell and 267 00:14:37,360 --> 00:14:39,600 Speaker 1: his team fit us for our own pillows and introduced 268 00:14:39,680 --> 00:14:42,640 Speaker 1: us to their ever growing list of incredible products, talking 269 00:14:42,680 --> 00:14:47,080 Speaker 1: about towel sets, slippers, robes, mattress stoppers, Giza sheets, everything 270 00:14:47,160 --> 00:14:49,800 Speaker 1: out there. You can trust Mike Lindell to give you 271 00:14:49,880 --> 00:14:53,359 Speaker 1: a great night sleep. We keep coming back to the slippers. 272 00:14:53,480 --> 00:14:57,800 Speaker 1: My wife wears these slippers everywhere. She is obsessed with them. 273 00:14:57,840 --> 00:15:00,200 Speaker 1: She got them for all of her friends as well. 274 00:15:00,400 --> 00:15:03,280 Speaker 1: Got two layers of my Pillow foam layer of impact 275 00:15:03,320 --> 00:15:06,720 Speaker 1: gel to prevent fatigue and offer all day comfort. Hey, 276 00:15:06,720 --> 00:15:09,720 Speaker 1: you can wear these things indoors and outdoors. Can wear 277 00:15:09,800 --> 00:15:11,720 Speaker 1: them to go pick up the kids. It is made 278 00:15:11,720 --> 00:15:14,800 Speaker 1: from high quality leather, and right now you get fifty 279 00:15:14,840 --> 00:15:17,560 Speaker 1: percent off these my slippers. Log onto my pillow dot com, 280 00:15:17,920 --> 00:15:20,880 Speaker 1: click on the radio listeners specials. Use the promo code 281 00:15:20,920 --> 00:15:24,280 Speaker 1: Clay and Buck fifty percent off these my slippers. I'm 282 00:15:24,280 --> 00:15:26,800 Speaker 1: telling you you're gonna love them. Sixty day money back 283 00:15:26,840 --> 00:15:30,200 Speaker 1: guarantee plus a copy of Mike Lindell's book free with 284 00:15:30,400 --> 00:15:32,880 Speaker 1: your purchase. Just use the code Clay and Buck. You 285 00:15:32,920 --> 00:15:36,400 Speaker 1: can also call eight hundred seven nine two thirty two 286 00:15:36,600 --> 00:15:43,680 Speaker 1: sixty nine. Welcome back into the Clay Travis and Buck 287 00:15:43,720 --> 00:15:47,000 Speaker 1: Sexton Show. We are talking to Pandemia author and the 288 00:15:47,080 --> 00:15:50,640 Speaker 1: man with the best COVID sub stack out there, Alex Berenson, 289 00:15:51,240 --> 00:15:52,840 Speaker 1: about all the things going on here. Just so you know, 290 00:15:53,080 --> 00:15:55,120 Speaker 1: breaking news, Alex, and we want to get you on 291 00:15:55,120 --> 00:15:56,760 Speaker 1: the Lab League three. We wont go about two minutes, 292 00:15:56,800 --> 00:15:59,600 Speaker 1: but they just ended the mask mandate for schools and 293 00:15:59,680 --> 00:16:03,560 Speaker 1: calum for your Washington and Oregon just in time, because 294 00:16:03,600 --> 00:16:07,360 Speaker 1: the science changes when the politics demands it. These people 295 00:16:07,400 --> 00:16:10,280 Speaker 1: are a joke everyone, Every mask shamer in the country 296 00:16:10,360 --> 00:16:14,640 Speaker 1: should be ashamed of themselves. But put that on hole 297 00:16:14,640 --> 00:16:17,000 Speaker 1: for a second. Here a lab leak theory New York 298 00:16:17,040 --> 00:16:19,560 Speaker 1: Times says actually didn't come from a lab. You say, 299 00:16:19,880 --> 00:16:23,320 Speaker 1: what real quick? I know it? How much time? I 300 00:16:23,400 --> 00:16:25,880 Speaker 1: Actually I hate to keep talking about this on SECT 301 00:16:25,920 --> 00:16:29,040 Speaker 1: but I just wrote about this an expensive piece this morning. 302 00:16:29,320 --> 00:16:33,400 Speaker 1: That that article is a joke. The pre print it's 303 00:16:33,440 --> 00:16:36,720 Speaker 1: based on a preprint, which is a scientific paper that's 304 00:16:36,760 --> 00:16:40,520 Speaker 1: been released online that came out this weekend that basically 305 00:16:40,680 --> 00:16:44,000 Speaker 1: maps cases in Wuhan early cases and says, look, they 306 00:16:44,040 --> 00:16:48,200 Speaker 1: were all around the seafood market. Therefore, the seafood market 307 00:16:48,360 --> 00:16:50,680 Speaker 1: must have been the source of this. Here's the problem. 308 00:16:51,240 --> 00:16:53,680 Speaker 1: We've known for two years that there were a lot 309 00:16:53,760 --> 00:16:56,960 Speaker 1: of cases in the seafood market, the seafood or near it. 310 00:16:57,040 --> 00:17:00,600 Speaker 1: The seafood market is crowded, it's in the center. There's 311 00:17:00,600 --> 00:17:02,600 Speaker 1: a lot of commerce down there. It's not very clean. 312 00:17:02,960 --> 00:17:05,520 Speaker 1: It doesn't mean that this came out of there. It 313 00:17:05,640 --> 00:17:10,320 Speaker 1: means that there were cases there, okay. And the same 314 00:17:10,520 --> 00:17:13,920 Speaker 1: guys whose names are on this are the people who 315 00:17:14,080 --> 00:17:17,840 Speaker 1: we know two years ago told Anthony Fauci, including a 316 00:17:17,920 --> 00:17:22,000 Speaker 1: guy named Christian Anderson who's in California at scripts in 317 00:17:22,119 --> 00:17:26,920 Speaker 1: southern California. He told Tony Fauci privately, I'm concerned about this. 318 00:17:27,080 --> 00:17:29,200 Speaker 1: It looks like there's some features that are not natural. 319 00:17:29,520 --> 00:17:32,800 Speaker 1: And six weeks later he wrote something publicly saying exactly 320 00:17:32,880 --> 00:17:37,040 Speaker 1: the opposite, which basically made it impossible to investigate the 321 00:17:37,119 --> 00:17:40,440 Speaker 1: Lamb week. This is the guy who needs to be subpoenaed, 322 00:17:40,920 --> 00:17:43,280 Speaker 1: and he and Fauci and all the others who are 323 00:17:43,320 --> 00:17:46,439 Speaker 1: on a conference called that happened on February first, twenty twenty, 324 00:17:46,720 --> 00:17:49,800 Speaker 1: and they are just trying to throw smoke and they 325 00:17:49,920 --> 00:17:53,320 Speaker 1: found the University of Arizona to carry water. One of them, 326 00:17:53,520 --> 00:17:57,440 Speaker 1: this guy had written the same basically three times. So 327 00:17:58,520 --> 00:18:01,159 Speaker 1: this is a joke. All it is is an effort 328 00:18:01,320 --> 00:18:03,960 Speaker 1: to obscure how much evidence there is in savor for 329 00:18:04,080 --> 00:18:08,280 Speaker 1: lap Laperience. Alex Barrenson, fantastic has always go read his 330 00:18:08,520 --> 00:18:11,640 Speaker 1: sub stack. I want to let all of you know, Hey, 331 00:18:12,080 --> 00:18:14,480 Speaker 1: only thirty minutes left in the show, but maybe you're 332 00:18:14,480 --> 00:18:15,960 Speaker 1: starting to have a little bit of a drag in 333 00:18:16,080 --> 00:18:19,040 Speaker 1: your day. Coming up on three o'clock on the East 334 00:18:19,080 --> 00:18:22,159 Speaker 1: coast here soon twelve thirty right now on the e 335 00:18:22,600 --> 00:18:25,440 Speaker 1: West coast, and you guys might need my friends in 336 00:18:25,520 --> 00:18:27,359 Speaker 1: Black Rifle Coffee to hook you up. They've got the 337 00:18:27,440 --> 00:18:31,520 Speaker 1: best possible coffee beans Columbia and Brazil. They go ahead 338 00:18:31,560 --> 00:18:34,760 Speaker 1: and get you ready with their two facilities, roasting them 339 00:18:34,880 --> 00:18:38,639 Speaker 1: in Manchester, Tennessee, the other in Salt Lake Salt Lake City, Utah. 340 00:18:38,960 --> 00:18:41,720 Speaker 1: They are fabulous. I am drinking right now a Mocha 341 00:18:41,840 --> 00:18:44,359 Speaker 1: coldbrew version right out of a can. Buck likes his 342 00:18:44,480 --> 00:18:47,399 Speaker 1: coffee hot. I like mine cold. Whatever you want you 343 00:18:47,480 --> 00:18:50,520 Speaker 1: can find at black Riflecoffee dot com. Use our names 344 00:18:50,560 --> 00:18:53,000 Speaker 1: as a promo code Clay and Buck one word get 345 00:18:53,080 --> 00:18:56,160 Speaker 1: twenty percent off your purchase and your first coffee club 346 00:18:56,320 --> 00:19:04,520 Speaker 1: order at Black Riflecoffee dot com. We'll walk back in Glay, 347 00:19:04,600 --> 00:19:08,840 Speaker 1: Travis Buck Sex did show encourage you to go listen 348 00:19:08,920 --> 00:19:11,600 Speaker 1: to the Alex Berenson conversation. If you didn't, you can 349 00:19:11,640 --> 00:19:16,000 Speaker 1: read his sub stack and Buck, I gotta be honest 350 00:19:16,080 --> 00:19:20,080 Speaker 1: with you during the commercial break we were talking. Even 351 00:19:20,320 --> 00:19:24,080 Speaker 1: someone like me, who over the past two years has 352 00:19:24,160 --> 00:19:27,760 Speaker 1: been steadfastly on the front lines of masks make no 353 00:19:28,000 --> 00:19:31,680 Speaker 1: sense alongside of you. And by the way, there were 354 00:19:31,800 --> 00:19:33,600 Speaker 1: not a lot of people on the front lines of 355 00:19:33,680 --> 00:19:37,640 Speaker 1: the mask. There were not. Yeah, in twenty twenty, if 356 00:19:37,720 --> 00:19:40,000 Speaker 1: you were arguing, hey, your kids should be able to 357 00:19:40,080 --> 00:19:42,919 Speaker 1: go to school without mask, you were not. It did 358 00:19:43,000 --> 00:19:45,200 Speaker 1: not have a lot of support behind you. Even in 359 00:19:45,280 --> 00:19:49,840 Speaker 1: twenty twenty one, people came after you. Remember Buck, when 360 00:19:49,840 --> 00:19:52,000 Speaker 1: I went and spoke out against mask and laid out 361 00:19:52,040 --> 00:19:56,000 Speaker 1: the data. And we've been steadfastly here on the fact 362 00:19:56,080 --> 00:19:59,320 Speaker 1: that this is a public policy failure, and that there 363 00:19:59,440 --> 00:20:01,879 Speaker 1: was no Jeff stification for your kids to ever have 364 00:20:02,080 --> 00:20:06,960 Speaker 1: to wear masks. But even I am stunned by how 365 00:20:07,160 --> 00:20:12,320 Speaker 1: quickly Democrats right now, if you're just getting in your cars, 366 00:20:12,359 --> 00:20:17,120 Speaker 1: you're just started California, Washington, and Oregon. The day before 367 00:20:17,440 --> 00:20:21,240 Speaker 1: Joe Biden's State of the Union address, they also have 368 00:20:21,400 --> 00:20:24,879 Speaker 1: dropped the mask mandate on Capitol Hill for congressmen and 369 00:20:25,000 --> 00:20:29,000 Speaker 1: women senators. They've dropped it in the state of New York. 370 00:20:29,480 --> 00:20:31,600 Speaker 1: They are about to drop it in New York City. 371 00:20:31,960 --> 00:20:38,280 Speaker 1: Even I buck Sexton am stunned a bit by how 372 00:20:39,000 --> 00:20:47,879 Speaker 1: just absolutely political driven Democrats have suddenly recognized masking is. 373 00:20:48,080 --> 00:20:50,240 Speaker 1: After all their talk about how they were going to 374 00:20:50,320 --> 00:20:54,800 Speaker 1: be using the science to justify what they did or 375 00:20:54,920 --> 00:20:58,840 Speaker 1: did not do as it pertained to COVID Friday, the 376 00:20:58,960 --> 00:21:04,200 Speaker 1: CDC effectively does away with the mask mandates Saturday and Sunday. 377 00:21:04,600 --> 00:21:08,240 Speaker 1: You got New York, New York City, and now you 378 00:21:08,359 --> 00:21:12,879 Speaker 1: add in California, Washington, and Oregon doing away with school 379 00:21:13,000 --> 00:21:19,919 Speaker 1: mask mandates. I just it is so so much laced 380 00:21:20,040 --> 00:21:23,719 Speaker 1: with lying that even I Buck am a little bit 381 00:21:23,840 --> 00:21:31,520 Speaker 1: surprised over how blatantly just deceitful. This process is now 382 00:21:31,600 --> 00:21:33,880 Speaker 1: that masks are finally coming off, and this is why, 383 00:21:34,320 --> 00:21:37,520 Speaker 1: for every single person out there, we have got to 384 00:21:37,800 --> 00:21:42,560 Speaker 1: hold all of these politicians accountable for the failures of 385 00:21:43,119 --> 00:21:47,520 Speaker 1: they're forcing our kids to wear masks and beyond lay. 386 00:21:48,119 --> 00:21:52,920 Speaker 1: Joe Biden was videoed today, yes, walking into the White 387 00:21:52,960 --> 00:21:58,800 Speaker 1: House outside alone with a mask on, and I just 388 00:21:58,960 --> 00:22:01,920 Speaker 1: want to remind everybody this is lunacy. Okay, Yes, there 389 00:22:02,080 --> 00:22:05,400 Speaker 1: is no basis for this. There was never a basis 390 00:22:05,480 --> 00:22:09,280 Speaker 1: for this. This a long time ago, almost two years ago, 391 00:22:09,800 --> 00:22:13,960 Speaker 1: became the leftist version of the maga hat. You wear 392 00:22:14,040 --> 00:22:18,159 Speaker 1: a mask, you comply you're part of the left wing borg. 393 00:22:18,440 --> 00:22:20,440 Speaker 1: For those of you who are Star Trek fans or 394 00:22:20,520 --> 00:22:23,920 Speaker 1: the left wing hive, that was what this was all about. 395 00:22:23,960 --> 00:22:26,320 Speaker 1: It's so obvious now. It has been obvious to you 396 00:22:26,400 --> 00:22:27,879 Speaker 1: and me for a long time. There were not a 397 00:22:28,000 --> 00:22:30,880 Speaker 1: lot of people leave it on the right. Back when 398 00:22:31,119 --> 00:22:34,400 Speaker 1: I got to give credit to my friend, my producer, Mark, 399 00:22:34,720 --> 00:22:36,600 Speaker 1: who told me he was a big fan of OutKick 400 00:22:36,640 --> 00:22:38,680 Speaker 1: in your work on the sports side, and he told 401 00:22:38,720 --> 00:22:40,720 Speaker 1: me this is this is before anyone had ever talked 402 00:22:40,720 --> 00:22:42,440 Speaker 1: about Clay and I teaming up on radio. He said, 403 00:22:42,440 --> 00:22:44,399 Speaker 1: you got to talk to Clay Travis. He agrees with 404 00:22:44,520 --> 00:22:46,160 Speaker 1: you on masks and I was like, well, at least 405 00:22:46,160 --> 00:22:48,840 Speaker 1: there's somebody else. So this is almost two years ago. 406 00:22:48,920 --> 00:22:50,920 Speaker 1: I almost want to go back to the archives and 407 00:22:51,000 --> 00:22:52,840 Speaker 1: find the exact dates. We could have a two year 408 00:22:52,880 --> 00:22:55,720 Speaker 1: anniversary of it. I'm like, Clay, you came on. We anyway, 409 00:22:55,720 --> 00:22:57,200 Speaker 1: we had it. We had a great discussion about it, 410 00:22:57,560 --> 00:22:59,680 Speaker 1: and we were right, which is also that's nice. It's 411 00:22:59,760 --> 00:23:02,040 Speaker 1: nice to be right, Clay. They just put out some guidance. 412 00:23:02,680 --> 00:23:05,320 Speaker 1: I did not believe it was true. But did you 413 00:23:05,400 --> 00:23:07,800 Speaker 1: see this. It has been confirmed to me by a 414 00:23:07,880 --> 00:23:10,919 Speaker 1: friend for dust last night. You're talking about the nuclear attack. 415 00:23:11,200 --> 00:23:13,879 Speaker 1: If you are in the midst of a nuclear attack, folks, 416 00:23:14,040 --> 00:23:17,520 Speaker 1: make sure you mask up and socially distanced in the bunker. 417 00:23:17,960 --> 00:23:20,920 Speaker 1: That is from the Biden administration. That is a real 418 00:23:21,080 --> 00:23:25,200 Speaker 1: thing that they have done. I actually did not believe 419 00:23:25,240 --> 00:23:28,320 Speaker 1: it at first. I thought it was Steven Seagal going 420 00:23:28,400 --> 00:23:30,760 Speaker 1: in with the Russians to fight for Putin, like fake 421 00:23:30,840 --> 00:23:33,640 Speaker 1: as inn. It was not real. Turns out it was real. 422 00:23:34,320 --> 00:23:38,600 Speaker 1: These people have lost their minds and that is why 423 00:23:39,600 --> 00:23:42,920 Speaker 1: here ABC News. Chief White House correspondent Jonathan carl Clay 424 00:23:43,080 --> 00:23:46,760 Speaker 1: is pointing out Republicans have, you know what, how big 425 00:23:46,800 --> 00:23:50,240 Speaker 1: an advantage? Listen to this. More concerning for Joe Biden, 426 00:23:50,400 --> 00:23:53,119 Speaker 1: for Democrats generally is if you look at our latest 427 00:23:53,119 --> 00:23:57,359 Speaker 1: poll out today, the percentage of a voters saying that 428 00:23:57,400 --> 00:23:59,720 Speaker 1: they will vote for Republicans in the midterm elections is 429 00:23:59,760 --> 00:24:02,400 Speaker 1: that the highest level that we have seen since two 430 00:24:02,440 --> 00:24:05,400 Speaker 1: thousand and ten. And you know what happened in two ten. 431 00:24:05,760 --> 00:24:09,720 Speaker 1: Two ten is when Republicans won sixty three seats and 432 00:24:09,920 --> 00:24:13,359 Speaker 1: swept in control of the House in the Tea Party wave. 433 00:24:13,480 --> 00:24:16,639 Speaker 1: So Biden needs to change the trajectory. He needs to 434 00:24:16,680 --> 00:24:20,560 Speaker 1: acknowledge the challenges and present some kind of of a 435 00:24:20,760 --> 00:24:23,879 Speaker 1: vision that shows that he has a plausible plan for 436 00:24:24,000 --> 00:24:26,719 Speaker 1: dealing with the challenges facing the country. Anything less than 437 00:24:26,880 --> 00:24:29,560 Speaker 1: sixty seats for the Republicans in this mid term, as 438 00:24:29,640 --> 00:24:33,800 Speaker 1: Joe Biden daughters around wandering confused with his mask on outside, 439 00:24:34,160 --> 00:24:37,840 Speaker 1: less than sixty seats, We did not hit our mark sixty. 440 00:24:38,119 --> 00:24:40,520 Speaker 1: Just wish that we could have the election right now, 441 00:24:41,280 --> 00:24:43,840 Speaker 1: you know, I mean to your point, and you've been 442 00:24:43,920 --> 00:24:47,440 Speaker 1: on this for a while, A lot can change over 443 00:24:47,600 --> 00:24:49,840 Speaker 1: the next seven or eight months. Right, Let's be honest, 444 00:24:49,880 --> 00:24:52,840 Speaker 1: We're about to hit to March, and we got to 445 00:24:52,880 --> 00:24:55,840 Speaker 1: go all the way to the first week in November. 446 00:24:56,400 --> 00:24:59,240 Speaker 1: And my concern is just that a lot of people 447 00:24:59,320 --> 00:25:03,840 Speaker 1: who are angry three today, justifiably, the Democrats are basically 448 00:25:03,960 --> 00:25:06,520 Speaker 1: showing you their hand. They're saying, hey, we need to 449 00:25:06,600 --> 00:25:10,200 Speaker 1: make changes on COVID right now so that we can 450 00:25:10,359 --> 00:25:14,920 Speaker 1: hope six months from now people are over their anger 451 00:25:15,200 --> 00:25:17,560 Speaker 1: and they don't take it out on us. That's their 452 00:25:17,680 --> 00:25:21,800 Speaker 1: game plan. We cannot allow that to happen. This is 453 00:25:22,280 --> 00:25:23,800 Speaker 1: buck you said it earlier, and I think you're right. 454 00:25:24,280 --> 00:25:27,320 Speaker 1: Everybody should be a single issue voter right now, and 455 00:25:27,520 --> 00:25:31,159 Speaker 1: that issue is Democrats failed on COVID. Yes, and if 456 00:25:31,200 --> 00:25:34,000 Speaker 1: you don't hold them accountable. I understand there are all 457 00:25:34,080 --> 00:25:37,480 Speaker 1: different sorts of issues that people care about, a huge 458 00:25:37,640 --> 00:25:41,440 Speaker 1: panoply of issues that are important in America today. But 459 00:25:41,600 --> 00:25:44,960 Speaker 1: the number one issue that I believe everybody has to 460 00:25:45,000 --> 00:25:49,639 Speaker 1: be voting on is your elected officials failed you. They 461 00:25:49,760 --> 00:25:54,240 Speaker 1: failed your kids, they failed your economy. Everything directly ties 462 00:25:54,280 --> 00:25:57,560 Speaker 1: into COVID. And so if you are voting for a Democrat, 463 00:25:58,440 --> 00:26:02,280 Speaker 1: you are voting in support part of the COVID insanity 464 00:26:02,440 --> 00:26:05,800 Speaker 1: over the past two years, and there have to be consequences. 465 00:26:05,880 --> 00:26:08,639 Speaker 1: There have to be They were wrong, and when you 466 00:26:08,720 --> 00:26:12,000 Speaker 1: are an elected official and you get something this important, 467 00:26:12,119 --> 00:26:15,600 Speaker 1: this wrong, you have to pay the consequences. We're gonna 468 00:26:15,640 --> 00:26:18,720 Speaker 1: play that because now now you're gonna see a whole 469 00:26:19,160 --> 00:26:24,200 Speaker 1: a rewriting of history, a slow walk back, soft pedaling 470 00:26:24,400 --> 00:26:28,480 Speaker 1: as we move into the future. What's happened here? Snl on. Yeah, 471 00:26:28,640 --> 00:26:31,240 Speaker 1: maybe we were wrong about pretty much everything on COVID. 472 00:26:31,359 --> 00:26:33,760 Speaker 1: Now they're starting to say it. Oh gosh, I wonder 473 00:26:33,800 --> 00:26:35,960 Speaker 1: where we're Gonnahere are the apologies that you and I. 474 00:26:36,200 --> 00:26:38,600 Speaker 1: I was a grandma killer, Clay, That's what they kept 475 00:26:38,600 --> 00:26:41,159 Speaker 1: telling me. Grand Yeah, but you too. You were you 476 00:26:41,240 --> 00:26:43,200 Speaker 1: were wrecked up the idea that I wanted people to 477 00:26:43,280 --> 00:26:45,159 Speaker 1: play sports. I might as well have been, you know, 478 00:26:45,320 --> 00:26:48,439 Speaker 1: running around spraying guns into schoolhouse. You were, you were 479 00:26:48,560 --> 00:26:51,720 Speaker 1: sitting on a throne of grandma's skulls, Travis. That's what 480 00:26:51,920 --> 00:26:54,320 Speaker 1: was going on. That's what they were saying. 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Welcome back in Clay Travis buck Sexton Show. 508 00:28:14,920 --> 00:28:17,159 Speaker 1: Appreciate all of you hanging out with us. I know 509 00:28:17,480 --> 00:28:22,119 Speaker 1: that things are going crazy, Buck. We just talked about California, Washington, 510 00:28:22,160 --> 00:28:28,399 Speaker 1: and Oregon ending their COVID vaccine mask mandates, and everything 511 00:28:28,440 --> 00:28:31,359 Speaker 1: that's going on in New York and New York City 512 00:28:31,960 --> 00:28:36,600 Speaker 1: and this SNL skits that are now coming out where 513 00:28:36,720 --> 00:28:42,360 Speaker 1: you have all of these educated liberal New Yorkers sitting 514 00:28:42,400 --> 00:28:47,120 Speaker 1: around having quiet conversations where they actually say, wait a minute, 515 00:28:47,240 --> 00:28:50,680 Speaker 1: did masking make any sense? Did the COVID vaccine mandates 516 00:28:50,760 --> 00:28:54,480 Speaker 1: make any sense? Even? Heck, did the COVID shots themselves 517 00:28:54,640 --> 00:28:58,080 Speaker 1: make any sense? You know, the pivot has happened in 518 00:28:58,360 --> 00:29:02,680 Speaker 1: a fast manner when skits like these on Saturday Night 519 00:29:02,760 --> 00:29:05,560 Speaker 1: Live of all places, Buck, you well remember Saturday Night 520 00:29:05,640 --> 00:29:07,920 Speaker 1: Live was making fun of Joe Rogan for being a 521 00:29:08,000 --> 00:29:11,800 Speaker 1: horse d warmer with like a month ago, six weeks ago, 522 00:29:12,840 --> 00:29:15,360 Speaker 1: and they were making fun of everybody out there like 523 00:29:15,560 --> 00:29:17,520 Speaker 1: you and me and most of our listeners who have 524 00:29:17,600 --> 00:29:20,240 Speaker 1: been saying the data on mass didn't make sense, and 525 00:29:20,440 --> 00:29:24,120 Speaker 1: doctor Fauci was a liar, and much of the COVID 526 00:29:24,240 --> 00:29:29,240 Speaker 1: vaccine data was also not adding up. Suddenly, Oh, let's 527 00:29:29,360 --> 00:29:31,880 Speaker 1: play it for laughs. Listen to a couple of these 528 00:29:32,280 --> 00:29:34,560 Speaker 1: s and l skits. It's like COVID's not over, but 529 00:29:34,680 --> 00:29:36,920 Speaker 1: it's just gonna stop. I don't know how I feel 530 00:29:36,960 --> 00:29:39,160 Speaker 1: about that. Oh, you know, that reminds me of this 531 00:29:39,360 --> 00:29:41,280 Speaker 1: article I read, Honey, No one wants to hear about that. 532 00:29:42,800 --> 00:29:45,160 Speaker 1: It was in Bloomberg, and I thought it was interesting. 533 00:29:45,960 --> 00:29:52,880 Speaker 1: What article. Well, honey, it was just saying how mass 534 00:29:53,080 --> 00:29:56,080 Speaker 1: band aids had I don't know, little to no effects 535 00:29:56,360 --> 00:30:03,480 Speaker 1: on COVID. I'm sorry. It's not like I'm anti mask 536 00:30:03,640 --> 00:30:06,280 Speaker 1: or anything. I just sometimes wonder if any of the 537 00:30:06,360 --> 00:30:09,680 Speaker 1: things we did actually help Gina. No, no, no, we 538 00:30:09,840 --> 00:30:15,720 Speaker 1: can talk about this incredibly complicated and emotional topic. It's 539 00:30:15,720 --> 00:30:18,640 Speaker 1: actually not incredibly complicated. They were wrong, and so now 540 00:30:18,720 --> 00:30:22,000 Speaker 1: we're gonna have this whole Oh my gosh. Yeah, haha. Guys, 541 00:30:22,400 --> 00:30:26,960 Speaker 1: when we were screaming at people were vicious morons about 542 00:30:27,120 --> 00:30:28,720 Speaker 1: you better wear a mask. If you're gonna come in 543 00:30:28,800 --> 00:30:30,520 Speaker 1: this grocery store, you better wear a mask if you're 544 00:30:30,520 --> 00:30:33,680 Speaker 1: coming this elevator for nothing, for no reason, that they 545 00:30:33,720 --> 00:30:36,960 Speaker 1: were just harassing their fellow human beings because they can't 546 00:30:37,040 --> 00:30:40,360 Speaker 1: think for themselves and they're the synapses of their brains 547 00:30:40,400 --> 00:30:45,880 Speaker 1: had been rewired by the fauciite messaging machinery. And now 548 00:30:45,960 --> 00:30:48,200 Speaker 1: we're just gonna walk away from this like this is 549 00:30:48,240 --> 00:30:51,120 Speaker 1: what sli Oh yeah, it's also funny ha ha. They 550 00:30:51,280 --> 00:30:56,200 Speaker 1: call people who did not mask up murderers. Governor former 551 00:30:56,320 --> 00:30:59,760 Speaker 1: Governor Cuomo said you could give you a grandmother COVID 552 00:30:59,760 --> 00:31:02,240 Speaker 1: if you'd all wear a mask, she'll get sex, she'll 553 00:31:02,280 --> 00:31:05,520 Speaker 1: buy He actually said that stuff like you were a 554 00:31:05,640 --> 00:31:08,680 Speaker 1: threat to public safety unless you massed up, and then 555 00:31:08,680 --> 00:31:09,880 Speaker 1: of course he was seeing all the time without a 556 00:31:09,920 --> 00:31:13,520 Speaker 1: mask on. Well and Buck, to me, what's so interesting 557 00:31:13,560 --> 00:31:17,440 Speaker 1: about this is they're playing it for laughs, but it 558 00:31:17,800 --> 00:31:21,440 Speaker 1: is striking home for a lot of people that you 559 00:31:21,760 --> 00:31:23,760 Speaker 1: people like you and me, Buck, who would have been 560 00:31:23,800 --> 00:31:26,880 Speaker 1: at a dinner party, by the way and been like, yeah, 561 00:31:27,120 --> 00:31:29,440 Speaker 1: and I have to watch so I don't curse. Masks 562 00:31:29,440 --> 00:31:35,160 Speaker 1: are total bs, right, So many people would say thank 563 00:31:35,240 --> 00:31:38,600 Speaker 1: you for saying that, because there was a huge fear 564 00:31:39,200 --> 00:31:43,680 Speaker 1: because of the stultifying atmosphere that the doctor Fauciites and 565 00:31:43,880 --> 00:31:47,360 Speaker 1: his cronies created. You weren't even allowed to have a 566 00:31:47,480 --> 00:31:51,640 Speaker 1: conversation at a dinner party like that because you might 567 00:31:51,800 --> 00:31:55,000 Speaker 1: be considered to be a part of wrong think. That's 568 00:31:55,080 --> 00:32:01,000 Speaker 1: how much what was acceptable discourse was policed that people 569 00:32:01,520 --> 00:32:06,320 Speaker 1: legitimately felt that they couldn't say, Man, I don't know 570 00:32:06,400 --> 00:32:08,600 Speaker 1: if our kids need to be wearing masks at schools, 571 00:32:09,560 --> 00:32:12,520 Speaker 1: And I can't imagine, Buck, you lived through it. I 572 00:32:12,600 --> 00:32:14,360 Speaker 1: would have pulled my hair out. I would have gone 573 00:32:14,440 --> 00:32:16,640 Speaker 1: crazy if I had been in New York in California 574 00:32:16,760 --> 00:32:19,240 Speaker 1: having to deal with this. I'm so thankful that my 575 00:32:19,360 --> 00:32:21,920 Speaker 1: kids didn't have to wear masks for this entire year 576 00:32:22,880 --> 00:32:26,560 Speaker 1: because I live in a sane state that actually followed 577 00:32:26,640 --> 00:32:29,440 Speaker 1: the data and the science. But don't mistake what happened here. 578 00:32:30,240 --> 00:32:33,800 Speaker 1: They tried to bully you and me and every single 579 00:32:33,880 --> 00:32:37,120 Speaker 1: one of us listening right now, every mom, dad, every 580 00:32:37,200 --> 00:32:40,560 Speaker 1: grandma and grandpa, every aunt and uncle, everybody out there, 581 00:32:40,600 --> 00:32:42,959 Speaker 1: every teacher, because a lot of teachers saw this data too. 582 00:32:43,800 --> 00:32:48,160 Speaker 1: If you dared to say that wearing masks in school 583 00:32:48,320 --> 00:32:51,600 Speaker 1: didn't make any sense, you were, as you said, Buck, 584 00:32:51,920 --> 00:32:55,280 Speaker 1: a murder. You didn't care about anybody's health. How dare 585 00:32:55,400 --> 00:32:59,480 Speaker 1: you they told you that you were anti science if 586 00:32:59,560 --> 00:33:03,560 Speaker 1: you actually talked about the true data, which is the 587 00:33:03,720 --> 00:33:05,760 Speaker 1: essence of I remember there were some blue checks who 588 00:33:05,880 --> 00:33:07,600 Speaker 1: got it going for a while because I thought we 589 00:33:07,640 --> 00:33:10,560 Speaker 1: should we shouldn't continue lockdowns. That I was thanos and 590 00:33:10,680 --> 00:33:12,960 Speaker 1: wanted to eliminate all of humanity with a snap of 591 00:33:13,080 --> 00:33:15,400 Speaker 1: my fingers, and that was all ha ha ha, Okay, 592 00:33:15,440 --> 00:33:17,320 Speaker 1: well they're all morons. I was right and they're wrong. 593 00:33:17,360 --> 00:33:19,280 Speaker 1: Where's my apology? I mean, I just want to sit 594 00:33:19,360 --> 00:33:21,680 Speaker 1: here and say, we're gonna have to track people down. 595 00:33:21,720 --> 00:33:23,400 Speaker 1: We're gonna have to hold them accountable. We have to 596 00:33:23,440 --> 00:33:25,880 Speaker 1: find some of what was said, find some of the 597 00:33:26,040 --> 00:33:28,040 Speaker 1: you know, the clips, and all the rest of it 598 00:33:28,400 --> 00:33:30,720 Speaker 1: for the people that push for this, because now everyone 599 00:33:30,760 --> 00:33:33,640 Speaker 1: now sees this as omicron fads exactly on schedule with 600 00:33:34,280 --> 00:33:37,680 Speaker 1: the respiratory virus season, not because of vaccines, not because 601 00:33:37,680 --> 00:33:41,400 Speaker 1: of social distancing. We didn't flatten the curve, we didn't 602 00:33:41,440 --> 00:33:44,720 Speaker 1: lose hospital capacity and couldn't treat anybody. Was all lies 603 00:33:45,520 --> 00:33:49,080 Speaker 1: SNL though, making a big haha of it. I sometimes 604 00:33:49,160 --> 00:33:55,480 Speaker 1: wonder if other people who are hesitant. Yeah, might not 605 00:33:55,760 --> 00:34:03,680 Speaker 1: have like a valid valid, but understandable not to nice. 606 00:34:06,040 --> 00:34:09,680 Speaker 1: I think what she means is maybe sometimes we are 607 00:34:09,760 --> 00:34:15,719 Speaker 1: a little over zealous when we condemn. I just think 608 00:34:15,880 --> 00:34:22,319 Speaker 1: that if people are actually losing their jobs, careful girl. Look, 609 00:34:22,520 --> 00:34:25,800 Speaker 1: vaccines saved lives. But did I have to dump my 610 00:34:25,920 --> 00:34:33,600 Speaker 1: oldest friend just because he didn't get on booster? I mean, look, 611 00:34:33,760 --> 00:34:35,359 Speaker 1: I mean it is kind of funny. I'm not trying 612 00:34:35,360 --> 00:34:37,759 Speaker 1: to be a scold here, but it took them this 613 00:34:37,880 --> 00:34:40,399 Speaker 1: long to figure out the things that they're making jokes 614 00:34:40,400 --> 00:34:43,920 Speaker 1: about in this, in this sketch, and and Buck, this 615 00:34:44,160 --> 00:34:47,719 Speaker 1: is what comedians should do, right, And this is why 616 00:34:47,840 --> 00:34:50,200 Speaker 1: I've been so disgusted that it's fallen to people like 617 00:34:50,320 --> 00:34:54,920 Speaker 1: you and me to be truth tellers. Comedians should be 618 00:34:55,080 --> 00:34:59,400 Speaker 1: pointing out uncomfortable truths in a comedic fashion, because sometimes 619 00:34:59,480 --> 00:35:02,520 Speaker 1: it's more comfortable to do that than it is to 620 00:35:02,640 --> 00:35:05,680 Speaker 1: sit and sort of run through the data on a 621 00:35:05,840 --> 00:35:08,680 Speaker 1: daily basis, Like we've done you and I for years now, 622 00:35:09,200 --> 00:35:14,440 Speaker 1: and suddenly everybody just is willing to recognize. And here's 623 00:35:14,440 --> 00:35:17,360 Speaker 1: what happened, Buck, Here's what it is. It's not science, 624 00:35:17,520 --> 00:35:21,880 Speaker 1: it's political science. Joe Biden is getting destroyed and Democrats 625 00:35:21,920 --> 00:35:27,279 Speaker 1: are getting destroyed because enough people have finally joined Team Reality. 626 00:35:27,760 --> 00:35:30,440 Speaker 1: And when you get to that sixty or sixty five 627 00:35:30,600 --> 00:35:33,480 Speaker 1: percent mark, which is where I think we are, and 628 00:35:33,880 --> 00:35:37,600 Speaker 1: we're rapidly every single day adding more and more people 629 00:35:37,680 --> 00:35:40,440 Speaker 1: to Team Reality as it pertains to COVID restrictions and 630 00:35:40,560 --> 00:35:45,000 Speaker 1: masks being a joke. That's why suddenly where is doctor Fauci. 631 00:35:45,600 --> 00:35:48,120 Speaker 1: I mean, think about this, Buck, the dude. You couldn't 632 00:35:48,239 --> 00:35:52,240 Speaker 1: escape him on the weekend television shows for two years. 633 00:35:52,719 --> 00:35:58,040 Speaker 1: They release relieve all of these different restrictions, and Fauci's 634 00:35:58,080 --> 00:36:00,680 Speaker 1: not out there talking about him at all. They basically 635 00:36:01,080 --> 00:36:05,319 Speaker 1: sidelined him because the American public. It took a long time, 636 00:36:05,640 --> 00:36:08,800 Speaker 1: but they're finally recognizing and Buck, I really believe this 637 00:36:09,000 --> 00:36:11,719 Speaker 1: is going to turn into like Vietnam. There's not gonna 638 00:36:11,760 --> 00:36:15,040 Speaker 1: hardly be a single person out there before long, in 639 00:36:15,160 --> 00:36:17,440 Speaker 1: the next year, a couple of years ahead that is 640 00:36:17,560 --> 00:36:20,440 Speaker 1: ever willing to say they supported any of these restrictions 641 00:36:20,480 --> 00:36:22,920 Speaker 1: at all. You and I were one billion percent right 642 00:36:22,960 --> 00:36:24,960 Speaker 1: on this, and we're not gonna forget it. We're not 643 00:36:25,000 --> 00:36:26,759 Speaker 1: gonna let them get away with it. Folks, We're going 644 00:36:26,800 --> 00:36:30,120 Speaker 1: to keep reminding the apparatus of how they failed us, 645 00:36:30,160 --> 00:36:33,200 Speaker 1: how they were wrong, how they were or Carrians. Look, 646 00:36:33,239 --> 00:36:34,759 Speaker 1: we got a lot that we're gonna be talking to 647 00:36:34,760 --> 00:36:37,920 Speaker 1: you about this week. Obviously, the situation UKRAN continuing on 648 00:36:38,120 --> 00:36:41,040 Speaker 1: the state of the Union addressed tomorrow, Clan I'll have 649 00:36:41,160 --> 00:36:44,960 Speaker 1: preview analysis of that for you. Spoiler alert, Biden's bad 650 00:36:45,000 --> 00:36:46,920 Speaker 1: at his job, but we'll get into more detail than that. 651 00:36:47,480 --> 00:36:50,560 Speaker 1: Join us tomorrow, check out the Clan buck podcasts. Buck 652 00:36:50,640 --> 00:36:50,879 Speaker 1: you then