1 00:00:00,200 --> 00:00:02,800 Speaker 1: Second hour of the Clay Travis and Buck Sexton Show 2 00:00:02,960 --> 00:00:05,760 Speaker 1: is rolling along. Everybody, thanks for being with us eight 3 00:00:05,840 --> 00:00:10,080 Speaker 1: hundred two eight two two eight eight two on those 4 00:00:10,119 --> 00:00:13,800 Speaker 1: phone lines, and we're gonna be joined in a little 5 00:00:13,800 --> 00:00:16,799 Speaker 1: bit by our friend Alex Berenson. You know, the guy 6 00:00:16,880 --> 00:00:22,439 Speaker 1: who the left demonized and said was the pandemics wrongest man? 7 00:00:23,120 --> 00:00:25,040 Speaker 1: Remember what he was saying, No, I don't know about 8 00:00:25,040 --> 00:00:28,000 Speaker 1: a year ago, give or take eleven months ago to 9 00:00:28,040 --> 00:00:33,320 Speaker 1: be exact, about how vaccines don't last very long, and 10 00:00:33,440 --> 00:00:35,720 Speaker 1: you're gonna need boosters for sure, and no one knows 11 00:00:35,720 --> 00:00:39,599 Speaker 1: how effective those boosters would be. And also how effective 12 00:00:39,600 --> 00:00:43,400 Speaker 1: are the vaccines even really when you're judging it based 13 00:00:43,440 --> 00:00:46,800 Speaker 1: upon a population that's at very low risk. Anyway, all 14 00:00:46,800 --> 00:00:48,640 Speaker 1: that stuff that we were having him talk to us 15 00:00:48,680 --> 00:00:52,839 Speaker 1: about eleven months ago, how does that look now in retrospect? Everybody? 16 00:00:52,840 --> 00:00:54,720 Speaker 1: How does it look now that we actually have the 17 00:00:54,800 --> 00:00:57,840 Speaker 1: numbers and for so many people who were on booster 18 00:00:57,960 --> 00:01:01,520 Speaker 1: number four, booster number two, shot number four, I know 19 00:01:01,640 --> 00:01:06,199 Speaker 1: people personally who have gotten four shots and have gotten 20 00:01:06,240 --> 00:01:11,000 Speaker 1: COVID twice, which you would think, I mean, you can 21 00:01:11,120 --> 00:01:15,880 Speaker 1: call me crazy. I don't think that's a particularly successful 22 00:01:16,400 --> 00:01:22,360 Speaker 1: vaccination program. When we were told in April of last 23 00:01:22,440 --> 00:01:25,120 Speaker 1: year that you won't get it, you won't spread it. 24 00:01:25,200 --> 00:01:27,600 Speaker 1: That's what we were told. And then you look at 25 00:01:27,600 --> 00:01:29,600 Speaker 1: the and then the last thing they were saying was 26 00:01:29,600 --> 00:01:32,600 Speaker 1: you look at the death numbers and you won't die 27 00:01:32,640 --> 00:01:35,679 Speaker 1: if you get the shot. That was and that was 28 00:01:35,720 --> 00:01:38,720 Speaker 1: what they dug in on in November and December of 29 00:01:38,760 --> 00:01:41,720 Speaker 1: this past year. In the January and February, it's a 30 00:01:41,760 --> 00:01:45,920 Speaker 1: pandemic of the unvaccinated, Biden was shouting that turns out 31 00:01:45,959 --> 00:01:50,040 Speaker 1: actually a lot of people, unfortunately, who are vaccinated, in 32 00:01:50,040 --> 00:01:53,600 Speaker 1: particular the last six months fully vaccinated and even boosted 33 00:01:54,200 --> 00:01:58,080 Speaker 1: over half of all deaths in recent time is people 34 00:01:58,080 --> 00:02:01,200 Speaker 1: who were double vaxed. And now people will start to think, 35 00:02:01,240 --> 00:02:03,280 Speaker 1: hold on, what does this sound a lot like? It 36 00:02:03,320 --> 00:02:07,720 Speaker 1: does sound a lot like our ability to combat the flu. 37 00:02:08,280 --> 00:02:11,519 Speaker 1: It's a flu shot which was about fifty to sixty 38 00:02:11,520 --> 00:02:16,080 Speaker 1: percent effective at best, recommended for seniors people with immune 39 00:02:16,360 --> 00:02:20,200 Speaker 1: system issues, right, And that was as a society, we 40 00:02:20,200 --> 00:02:22,000 Speaker 1: didn't mask up, We didn't a vaccine managed to be 41 00:02:22,040 --> 00:02:25,000 Speaker 1: to do any of this stuff. And yet here we are, 42 00:02:25,639 --> 00:02:30,239 Speaker 1: the left, the Democrats, Biden have not admitted that they 43 00:02:30,320 --> 00:02:34,440 Speaker 1: were wrong on basically all of this, they just stopped 44 00:02:34,480 --> 00:02:36,839 Speaker 1: talking about it. It's like Clay and I always say, 45 00:02:36,919 --> 00:02:39,680 Speaker 1: the biggest editorial decision you make isn't even how you 46 00:02:39,720 --> 00:02:41,760 Speaker 1: say something, it's what you talk about and what you don't. 47 00:02:42,240 --> 00:02:44,919 Speaker 1: And they're not even discussing these things. You see where 48 00:02:45,080 --> 00:02:48,480 Speaker 1: CNN with all the yeah vaccine count Look, we gotta 49 00:02:48,520 --> 00:02:51,639 Speaker 1: get more vaccines, more shots and arms. Come on, where 50 00:02:51,639 --> 00:02:55,440 Speaker 1: are those evil Republicans were standing athwart our amazing vaccination program? 51 00:02:56,120 --> 00:02:58,800 Speaker 1: And some of you might be thinking, well, buck, at 52 00:02:58,840 --> 00:03:02,520 Speaker 1: least it's over. M ain't over. They're not done with it. 53 00:03:02,960 --> 00:03:06,120 Speaker 1: This should put you on edge a little bit. The 54 00:03:06,400 --> 00:03:11,720 Speaker 1: COVID advisor for the White or COVID czar, whatever advisors are, 55 00:03:11,840 --> 00:03:15,880 Speaker 1: same thing. The White House was asked will all schools 56 00:03:16,320 --> 00:03:21,079 Speaker 1: be open this fall? And here is what he said, 57 00:03:21,560 --> 00:03:26,480 Speaker 1: schools will and must be opened this coming fall. Un 58 00:03:29,160 --> 00:03:36,160 Speaker 1: thank you? Sorry? All right, guys, Yeah, I can just say. 59 00:03:36,280 --> 00:03:38,600 Speaker 1: Even the press is kind of like, hey, um, but 60 00:03:38,720 --> 00:03:40,640 Speaker 1: I have heard the term breakthrough cases a long time. 61 00:03:41,040 --> 00:03:43,440 Speaker 1: The presses had to reckon with the fact, Clay that 62 00:03:44,160 --> 00:03:46,920 Speaker 1: everything that this White House said about COVID basically turned 63 00:03:46,920 --> 00:03:51,960 Speaker 1: out to be either partially or entirely untrue. There's a 64 00:03:52,000 --> 00:03:54,920 Speaker 1: couple of fun questions that you could just ask, And 65 00:03:55,000 --> 00:03:56,720 Speaker 1: I think sometimes you have to take it out of 66 00:03:56,760 --> 00:03:59,960 Speaker 1: COVID because people are so dug in on their political law. 67 00:04:00,840 --> 00:04:03,920 Speaker 1: So if you've got somebody who is all in on 68 00:04:04,000 --> 00:04:06,440 Speaker 1: the booster and they're arguing you need to get your 69 00:04:06,480 --> 00:04:11,080 Speaker 1: fifth booster, if you said to them, hey, if you 70 00:04:11,120 --> 00:04:15,000 Speaker 1: get five shots for something and you still got it, 71 00:04:15,160 --> 00:04:18,120 Speaker 1: Like let's say measles required you to get five shots. 72 00:04:18,600 --> 00:04:20,960 Speaker 1: If you got five shots and you still got the measles, 73 00:04:21,480 --> 00:04:23,480 Speaker 1: would you be like, I'm so glad I got those 74 00:04:23,520 --> 00:04:26,479 Speaker 1: five shots to protect me. Or would you think this 75 00:04:26,560 --> 00:04:29,960 Speaker 1: is the biggest rig job of all time. I got 76 00:04:30,000 --> 00:04:33,240 Speaker 1: five freaking shots and I still got the measles. And 77 00:04:33,360 --> 00:04:35,480 Speaker 1: this video, that audio that we just played, Buck is 78 00:04:35,480 --> 00:04:38,800 Speaker 1: a little bit hard to hear. That was being asked directly, 79 00:04:40,320 --> 00:04:44,359 Speaker 1: can you basically agree that all schools are going to 80 00:04:44,400 --> 00:04:49,120 Speaker 1: be open this fall? That they must be open? And 81 00:04:49,200 --> 00:04:52,560 Speaker 1: he didn't say yes, They shunted him off the stage 82 00:04:53,240 --> 00:04:58,440 Speaker 1: without letting him answer. How are we sitting here in 83 00:04:59,200 --> 00:05:03,359 Speaker 1: June of twel twenty two, Buck coming up on eighteen 84 00:05:03,480 --> 00:05:07,640 Speaker 1: months since the lockdown, since fifth is to slow the spread, 85 00:05:09,160 --> 00:05:11,800 Speaker 1: and we still can't get the head of whatever the 86 00:05:11,880 --> 00:05:15,120 Speaker 1: COVID Task Force is now called in the White House 87 00:05:15,480 --> 00:05:19,799 Speaker 1: to say yes, every school must be open in August 88 00:05:19,839 --> 00:05:22,839 Speaker 1: and September of twenty twenty two. I mean, and we 89 00:05:22,839 --> 00:05:26,080 Speaker 1: should mention Oakland. We probably got listeners in the Bay Area. 90 00:05:26,160 --> 00:05:29,880 Speaker 1: I know we do. They are bringing back masks. LA 91 00:05:30,160 --> 00:05:34,200 Speaker 1: came out yesterday and said that they expect that masks 92 00:05:34,240 --> 00:05:37,400 Speaker 1: are going to be required again soon. Does Philadelphia still 93 00:05:37,440 --> 00:05:39,880 Speaker 1: have them? I think in schools two to four year 94 00:05:39,920 --> 00:05:42,440 Speaker 1: olds are still required to wear them in New York City. 95 00:05:43,160 --> 00:05:48,240 Speaker 1: This ain't going away, right, This is going to continue. 96 00:05:48,279 --> 00:05:50,120 Speaker 1: We got five times at the rate. Remember it was 97 00:05:50,120 --> 00:05:52,719 Speaker 1: gonna be a hot back summer. Everybody was celebrating, Oh, 98 00:05:52,760 --> 00:05:55,640 Speaker 1: there's no more COVID issues. There are five times as 99 00:05:55,680 --> 00:05:57,880 Speaker 1: many COVID cases and a lot of people are testing 100 00:05:57,880 --> 00:05:59,760 Speaker 1: at home or just have said screw it, I'm not 101 00:05:59,760 --> 00:06:03,320 Speaker 1: get tested anymore right now as there was this time 102 00:06:03,480 --> 00:06:08,640 Speaker 1: last year. I also think on the mental health side 103 00:06:08,640 --> 00:06:12,400 Speaker 1: of things that people are starting to put together. Biden, 104 00:06:12,480 --> 00:06:16,640 Speaker 1: for example, speaking about the gun violence issue, says we 105 00:06:16,680 --> 00:06:21,680 Speaker 1: need to address mental health Well, that's interesting because, yeah, 106 00:06:21,720 --> 00:06:24,720 Speaker 1: I agree that for gun violence purposes, mental health is 107 00:06:24,760 --> 00:06:29,120 Speaker 1: certainly a component and serious discussions about that are necessary. 108 00:06:29,480 --> 00:06:32,159 Speaker 1: But it also reminds I think a lot of people, 109 00:06:32,240 --> 00:06:38,520 Speaker 1: Clay that what the Democrats Fauci Biden, doctor Wilenski, Where 110 00:06:38,520 --> 00:06:40,159 Speaker 1: did she go? By the way, has she been, like, 111 00:06:40,240 --> 00:06:44,120 Speaker 1: you know, on vacations? That's a great question. Head the 112 00:06:44,160 --> 00:06:48,960 Speaker 1: CDC vanished everybody, where is she Why isn't she out 113 00:06:49,000 --> 00:06:52,080 Speaker 1: there answering questions about the super successful vaccine program? To 114 00:06:52,200 --> 00:06:54,839 Speaker 1: your point about the measles? By the way, Clay, imagine 115 00:06:54,880 --> 00:06:59,320 Speaker 1: how people should feel if their position was you must 116 00:06:59,360 --> 00:07:02,680 Speaker 1: get full or shots and if you won't, you deserve 117 00:07:02,760 --> 00:07:06,520 Speaker 1: to be fired from your job. And then people got fired, 118 00:07:06,640 --> 00:07:08,680 Speaker 1: thousands of them. People listening to the show probably got 119 00:07:08,680 --> 00:07:10,600 Speaker 1: fired from their jobs. We talked to people who were 120 00:07:10,600 --> 00:07:13,960 Speaker 1: getting fired your jobs, and none of the people that 121 00:07:14,120 --> 00:07:17,360 Speaker 1: pushed that feel badly about what they did. What they 122 00:07:17,400 --> 00:07:21,360 Speaker 1: did was monstrous, It was horrible. They ended people's careers 123 00:07:21,760 --> 00:07:24,760 Speaker 1: for what. Every time I'm forced to walk into a 124 00:07:24,800 --> 00:07:27,840 Speaker 1: doctor's office with a mask on, a walk around and say, 125 00:07:27,880 --> 00:07:30,480 Speaker 1: can any of the fancy mds in here read? Can 126 00:07:30,520 --> 00:07:32,320 Speaker 1: any of you look at numbers, Can you do math? 127 00:07:32,760 --> 00:07:35,200 Speaker 1: Do you really think then making me wear a mask 128 00:07:35,280 --> 00:07:37,880 Speaker 1: for the five minutes i'm in your office makes any 129 00:07:37,960 --> 00:07:42,000 Speaker 1: difference to anyone whatsoever. But this has become a cult. 130 00:07:42,160 --> 00:07:44,080 Speaker 1: And the damage that has been done on this is 131 00:07:44,080 --> 00:07:48,240 Speaker 1: on the mental health side, is so catastrophic and widespread 132 00:07:48,280 --> 00:07:51,880 Speaker 1: to people's mental health that I think there's there's a 133 00:07:52,160 --> 00:07:57,200 Speaker 1: huge wave of denialism that is in there now. Democrats 134 00:07:57,240 --> 00:08:01,320 Speaker 1: did more to damage with these lockdown policies and just everything, 135 00:08:01,360 --> 00:08:03,640 Speaker 1: with the demonization of those who didn't want to get 136 00:08:03,640 --> 00:08:07,200 Speaker 1: the shot, the firing of people, the federal heavy handed. 137 00:08:07,200 --> 00:08:08,800 Speaker 1: It's the Supreme courted to step in and say, what 138 00:08:08,800 --> 00:08:12,520 Speaker 1: do you lunatics doing? Stop the damage they did to 139 00:08:12,760 --> 00:08:17,800 Speaker 1: children's mental health specifically? Is this is this is a 140 00:08:18,120 --> 00:08:25,080 Speaker 1: generational a generational theft or a multi generational destruction of 141 00:08:25,160 --> 00:08:30,760 Speaker 1: people's peace of mind, well being development. It's appalling what 142 00:08:30,880 --> 00:08:33,840 Speaker 1: these democrats did to kids with their ideas. By the way, 143 00:08:33,880 --> 00:08:36,480 Speaker 1: it didn't there was no upside to this. They didn't 144 00:08:36,480 --> 00:08:39,600 Speaker 1: stop anyone's kids from getting COVID. They didn't save anybody 145 00:08:39,640 --> 00:08:43,200 Speaker 1: from the wave. And now the just the learning loss 146 00:08:43,240 --> 00:08:48,640 Speaker 1: issue was horrible, but the emotional destruction, the psychological the 147 00:08:48,760 --> 00:08:51,760 Speaker 1: kids engaging in self harm, the kids who were locked away, 148 00:08:51,840 --> 00:08:55,320 Speaker 1: couldn't go to school, couldn't see their their friends, Clay, 149 00:08:55,840 --> 00:08:58,880 Speaker 1: It's an atrocity what the Democrats have done. There's an 150 00:08:58,920 --> 00:09:03,600 Speaker 1: amazing piece buck In and I shared it yesterday. I 151 00:09:03,640 --> 00:09:07,400 Speaker 1: think a guy named Alec Guttentag, which is an interesting name. 152 00:09:08,160 --> 00:09:12,439 Speaker 1: I think, isn't the Guten Tag Hello? And Jon Alex Hello, 153 00:09:12,480 --> 00:09:15,360 Speaker 1: which would be anyway, he wrote a phenomenal piece the 154 00:09:15,480 --> 00:09:18,760 Speaker 1: COVID cult did lasting damage to our kids, and I 155 00:09:18,800 --> 00:09:20,760 Speaker 1: just want to hit you with a couple of stats. 156 00:09:20,760 --> 00:09:24,160 Speaker 1: And by the way, they did a phenomenal job here. 157 00:09:24,520 --> 00:09:27,480 Speaker 1: And these are all doctors who said basically, hey, we 158 00:09:27,600 --> 00:09:33,120 Speaker 1: didn't feel comfortable being able to speak out. This is crazy, uh, 159 00:09:33,240 --> 00:09:36,880 Speaker 1: in terms of the kids who have just vanished, right 160 00:09:37,000 --> 00:09:39,559 Speaker 1: like the number of kids that are not showing up, 161 00:09:39,600 --> 00:09:43,319 Speaker 1: millions of kids not showing up in schools, and the 162 00:09:43,320 --> 00:09:47,920 Speaker 1: ones that are going in Maryland, in Michigan, in Washington, 163 00:09:48,080 --> 00:09:53,080 Speaker 1: in LA. I mean, these these data points of loss 164 00:09:53,160 --> 00:09:58,160 Speaker 1: of learning is off the charts and we're still not 165 00:09:58,320 --> 00:10:00,640 Speaker 1: having I mean when I read this, when I read 166 00:10:00,640 --> 00:10:05,120 Speaker 1: this article, I want and this may be, this may 167 00:10:05,160 --> 00:10:09,000 Speaker 1: be aggressive, buck, but I want some of these public 168 00:10:09,040 --> 00:10:16,840 Speaker 1: health experts to face real, significant consequences, potentially even criminal charges, 169 00:10:17,080 --> 00:10:22,640 Speaker 1: like I think doctor Fauci is, in my opinion, the 170 00:10:22,679 --> 00:10:28,800 Speaker 1: most destructive person in our lives in America in terms 171 00:10:28,840 --> 00:10:32,600 Speaker 1: of a bureaucrat or an elected official, in terms of 172 00:10:32,640 --> 00:10:34,319 Speaker 1: what he's done to the people in this country. I 173 00:10:34,320 --> 00:10:38,400 Speaker 1: think there's no question and he's going to buck skate off. 174 00:10:38,520 --> 00:10:41,480 Speaker 1: In twenty twenty four, he now says he's gonna retire. 175 00:10:41,720 --> 00:10:45,920 Speaker 1: It's the highest paid public employee in the country, and 176 00:10:45,960 --> 00:10:49,920 Speaker 1: they're gonna be zero consequences for him during his life. Zero. 177 00:10:51,120 --> 00:10:54,880 Speaker 1: That's not right. There have to be when you consider 178 00:10:55,000 --> 00:10:58,200 Speaker 1: the damage that he has done two children. And this 179 00:10:58,280 --> 00:11:02,880 Speaker 1: is like point by you have to vote Republican because 180 00:11:03,000 --> 00:11:05,440 Speaker 1: I want this, and there's a lot of words I 181 00:11:05,480 --> 00:11:09,040 Speaker 1: want to use. Guy to have to sit in front 182 00:11:09,080 --> 00:11:12,480 Speaker 1: of Congress under oath and the Senate under oath, and 183 00:11:12,520 --> 00:11:14,680 Speaker 1: I want him to be grilled because I think his 184 00:11:14,760 --> 00:11:18,040 Speaker 1: gain a function research actually created COVID. I think he 185 00:11:18,120 --> 00:11:21,920 Speaker 1: has covered up for his partners in China, probably in 186 00:11:22,000 --> 00:11:27,960 Speaker 1: a criminal degree. I believe that his negligence in analyzing 187 00:11:28,040 --> 00:11:32,440 Speaker 1: basic data is almost criminal in terms of what he 188 00:11:32,520 --> 00:11:36,360 Speaker 1: did keeping kids out of school. I want him, I 189 00:11:36,400 --> 00:11:41,280 Speaker 1: want everything thrown at him. I want him to have 190 00:11:41,480 --> 00:11:44,920 Speaker 1: to bear the consequences of everything that he got wrong. 191 00:11:44,920 --> 00:11:48,040 Speaker 1: And if you read this Tablet article, buck it is 192 00:11:48,320 --> 00:11:50,720 Speaker 1: there are so many doctors out there that are now 193 00:11:50,800 --> 00:11:54,400 Speaker 1: finally being willing to speak publicly. They felt like they 194 00:11:54,440 --> 00:11:57,560 Speaker 1: couldn't say anything. And it's a big discussion here about 195 00:11:57,559 --> 00:11:59,960 Speaker 1: how that so many doctors work at big public company 196 00:12:00,280 --> 00:12:03,200 Speaker 1: now and so they're constrained in what they feel they 197 00:12:03,240 --> 00:12:05,480 Speaker 1: can say. And I know this happened when I spoke 198 00:12:05,480 --> 00:12:08,840 Speaker 1: out against masks back in August. One of the speakers 199 00:12:08,920 --> 00:12:12,960 Speaker 1: was a doctor who spoke and had to said there's 200 00:12:13,000 --> 00:12:16,640 Speaker 1: no basis for masks. When she spoke out, she was 201 00:12:16,679 --> 00:12:20,199 Speaker 1: investigated by the state medical board over complaints and they 202 00:12:20,200 --> 00:12:23,760 Speaker 1: tried to pull her medical license. That's what doctors were 203 00:12:23,840 --> 00:12:27,880 Speaker 1: dealing with if they weren't willing to accept this COVID cult. 204 00:12:28,800 --> 00:12:33,079 Speaker 1: Anthony Faucci was too much of a coward to admit 205 00:12:33,559 --> 00:12:36,920 Speaker 1: that they were wrong about essentially everything. In the first 206 00:12:37,040 --> 00:12:40,400 Speaker 1: ninety days when the pandemic hit and there were a 207 00:12:40,400 --> 00:12:43,400 Speaker 1: lot of young people, a lot of kids, a lot 208 00:12:43,400 --> 00:12:48,280 Speaker 1: of adolescence who if only Fauci had said schools should 209 00:12:48,280 --> 00:12:51,400 Speaker 1: be open, adults need to calm down, everyone needs to 210 00:12:51,440 --> 00:12:55,520 Speaker 1: stop panicking, go about your life. If he had started that, 211 00:12:55,720 --> 00:12:57,600 Speaker 1: and I mean him as an individual, I don't just 212 00:12:57,640 --> 00:13:00,679 Speaker 1: mean even the movement. If Fauci had spoken out, I 213 00:13:00,720 --> 00:13:04,440 Speaker 1: truly believe there would be children and lots of them 214 00:13:04,480 --> 00:13:08,640 Speaker 1: alive today who are not because they committed suicide because 215 00:13:08,640 --> 00:13:11,119 Speaker 1: of the depression that was. I think you're right, hugely, 216 00:13:11,640 --> 00:13:16,040 Speaker 1: hugely attributable to the lockdowns, the anxiety, the misery, and 217 00:13:16,080 --> 00:13:19,480 Speaker 1: the mental health destruction, and the fact that the little 218 00:13:19,600 --> 00:13:22,240 Speaker 1: cowards at the top of the CDC and these other 219 00:13:22,320 --> 00:13:26,360 Speaker 1: public health bureaucracies all across the country, Fauci at Naiad, 220 00:13:27,000 --> 00:13:30,040 Speaker 1: the fact that they didn't see what was going on 221 00:13:30,160 --> 00:13:33,320 Speaker 1: and speak out at whatever the professional consequences would have 222 00:13:33,320 --> 00:13:35,280 Speaker 1: been to them, at whatever it would have meant to 223 00:13:35,360 --> 00:13:39,640 Speaker 1: their standing among the NPR listeners across the country, is 224 00:13:39,640 --> 00:13:42,959 Speaker 1: a total indictment of our public health apparatus as it stands, 225 00:13:43,200 --> 00:13:46,160 Speaker 1: and at the lack of character and decency and courage 226 00:13:46,520 --> 00:13:48,800 Speaker 1: that people who took an oath to do no harm 227 00:13:49,280 --> 00:13:53,800 Speaker 1: completely completely betrayed that oath. And how about the teachers 228 00:13:53,880 --> 00:13:58,720 Speaker 1: Union's tubuck who were working hand in hand with the CDC. Look, well, 229 00:13:58,720 --> 00:14:01,160 Speaker 1: they've always been horrible, but yeah, but it was stupid 230 00:14:01,200 --> 00:14:04,719 Speaker 1: to shut down schools. The idea that every single kid 231 00:14:04,760 --> 00:14:08,280 Speaker 1: in America wasn't in school when we got to August 232 00:14:08,360 --> 00:14:13,800 Speaker 1: in September of twenty twenty is criminal public health negligence 233 00:14:13,880 --> 00:14:16,960 Speaker 1: in my opinion. For pain suffers out there, there's always 234 00:14:16,960 --> 00:14:19,360 Speaker 1: a time when you say enough's enough. I can't take 235 00:14:19,440 --> 00:14:23,080 Speaker 1: another day. 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Move more, 258 00:15:35,160 --> 00:15:38,320 Speaker 1: live more, just enjoy your life more with relief Factor. 259 00:15:38,720 --> 00:15:43,360 Speaker 1: The Voices of Sanity in an Insane World Clay Travis 260 00:15:43,400 --> 00:15:55,240 Speaker 1: Sad buck Sexton. Welcome back in Clay Travis buck Sexton Show. 261 00:15:55,280 --> 00:15:58,360 Speaker 1: We're about to talk with Alex Barnson, which we always 262 00:15:58,520 --> 00:16:01,800 Speaker 1: enjoy doing because he's bay and from many different social 263 00:16:01,840 --> 00:16:05,560 Speaker 1: media sites including Twitter, and so we'll get the latest 264 00:16:05,640 --> 00:16:08,080 Speaker 1: data there from him. But I wanted to continue to 265 00:16:08,080 --> 00:16:10,640 Speaker 1: point out that some people get upset and they say, hey, 266 00:16:10,680 --> 00:16:12,840 Speaker 1: COVID's over. It's not over. For a lot of people, 267 00:16:12,880 --> 00:16:16,520 Speaker 1: including our military, where they continue to fire people over 268 00:16:16,680 --> 00:16:19,600 Speaker 1: COVID shot related issues. And also there are a lot 269 00:16:19,640 --> 00:16:23,800 Speaker 1: of kids graduating from high school who were not being 270 00:16:23,840 --> 00:16:28,080 Speaker 1: allowed to walk in their high school graduation ceremonies if 271 00:16:28,080 --> 00:16:30,120 Speaker 1: they haven't gotten a COVID shot. I mean, this is 272 00:16:30,160 --> 00:16:32,800 Speaker 1: all madness. And I believe it's Bob who called in 273 00:16:32,800 --> 00:16:36,440 Speaker 1: in the military. Yab in Wisconsin. Ye, Bob, tell us 274 00:16:36,440 --> 00:16:40,720 Speaker 1: what's going on. Hey, guys, I just feel it's very 275 00:16:40,760 --> 00:16:43,680 Speaker 1: important for everybody in America to realize the fight isn't over. 276 00:16:44,360 --> 00:16:46,560 Speaker 1: I've been serving this country so long that my son 277 00:16:46,680 --> 00:16:50,240 Speaker 1: is also serving now, and I've done a lot of things, 278 00:16:50,400 --> 00:16:53,360 Speaker 1: and I've always been prought of my service. But because 279 00:16:53,480 --> 00:16:55,200 Speaker 1: my son and I refuse to get a shot we 280 00:16:55,240 --> 00:16:57,760 Speaker 1: don't need, we're both on the brink of being thrown 281 00:16:57,760 --> 00:17:01,200 Speaker 1: out of the military if days are over on National 282 00:17:01,200 --> 00:17:04,920 Speaker 1: Guard now. But June thirty is our drop dead d 283 00:17:05,040 --> 00:17:08,800 Speaker 1: for getting the shots. How old is your son? My 284 00:17:08,880 --> 00:17:11,960 Speaker 1: son is twenty. I'm forty seven. Your son is twenty 285 00:17:12,040 --> 00:17:14,119 Speaker 1: years old, and they are going to kick him out 286 00:17:14,119 --> 00:17:16,080 Speaker 1: of the military if he doesn't get a COVID shot 287 00:17:16,080 --> 00:17:18,879 Speaker 1: that he won billion percent based on all the data, 288 00:17:19,000 --> 00:17:22,600 Speaker 1: doesn't need at all. In fact, he got COVID at 289 00:17:22,680 --> 00:17:25,240 Speaker 1: basic training, so they have it documented that he had it. 290 00:17:25,440 --> 00:17:28,320 Speaker 1: He has natural immunity, as do I, and they still 291 00:17:28,400 --> 00:17:30,680 Speaker 1: do not care. In you're insisting he gets the shot. 292 00:17:30,960 --> 00:17:34,359 Speaker 1: It infuriated this in it is enraging, honestly, and this 293 00:17:34,440 --> 00:17:36,159 Speaker 1: is why, Bob, we thank you so much, first of 294 00:17:36,200 --> 00:17:37,920 Speaker 1: all for your service and your son's service, and for 295 00:17:37,960 --> 00:17:40,360 Speaker 1: calling to remind everybody Clay. This is why we stay 296 00:17:40,400 --> 00:17:42,159 Speaker 1: on this. I don't care if it's not in the 297 00:17:42,280 --> 00:17:45,080 Speaker 1: news cycle, so to speak. We stay on this because, 298 00:17:45,080 --> 00:17:48,200 Speaker 1: as Bob said, the fight's not over, and they're going 299 00:17:48,280 --> 00:17:54,399 Speaker 1: to continue to take enforced penalties against people over the 300 00:17:54,400 --> 00:17:57,479 Speaker 1: COVID shot. When we know the COVID shot doesn't work. 301 00:17:58,040 --> 00:18:00,439 Speaker 1: It doesn't work, We'll talk to Alex Moore keep you 302 00:18:00,440 --> 00:18:02,119 Speaker 1: from getting COVID. Talk to Alex more about this in 303 00:18:02,200 --> 00:18:04,240 Speaker 1: a second. Alex Barronson's coming up, folks. Oh, he's a 304 00:18:04,240 --> 00:18:07,000 Speaker 1: good interview. You know that text messages that show up 305 00:18:07,000 --> 00:18:09,399 Speaker 1: on your phone from numbers you don't recognize are not 306 00:18:09,520 --> 00:18:11,240 Speaker 1: to be clicked on. Look, folks, this has happened to me. 307 00:18:11,240 --> 00:18:13,600 Speaker 1: I'll be honest with you, there's pretty sophisticated these days, 308 00:18:13,600 --> 00:18:16,280 Speaker 1: these cyber hackers. They send them the tens of thousands 309 00:18:16,320 --> 00:18:18,040 Speaker 1: of people at a time hoping one will click on 310 00:18:18,080 --> 00:18:20,320 Speaker 1: that text message. It shows up on your phone, looks 311 00:18:20,359 --> 00:18:22,440 Speaker 1: like it's from your bank or your credit card company. 312 00:18:22,480 --> 00:18:25,040 Speaker 1: And like I said, I've been through this myself. And 313 00:18:25,160 --> 00:18:27,159 Speaker 1: once you click on that link, man, they've got your 314 00:18:27,160 --> 00:18:30,080 Speaker 1: private info and it's gonna be rough. It's impoor. You 315 00:18:30,119 --> 00:18:33,760 Speaker 1: understand how cybercrime and identity theft affect all of our lives. 316 00:18:34,080 --> 00:18:37,840 Speaker 1: Protecting your identity can be easy, though. With LifeLock by Norton, 317 00:18:38,119 --> 00:18:41,240 Speaker 1: they monitor online transactions, new account openings, and more, looking 318 00:18:41,280 --> 00:18:43,760 Speaker 1: for evidence that your account info is in the wrong hands. 319 00:18:43,920 --> 00:18:46,160 Speaker 1: And if you do become a victim of identity theft, 320 00:18:46,240 --> 00:18:49,240 Speaker 1: they will help to fix it with a dedicated restoration specialist. 321 00:18:49,520 --> 00:18:51,679 Speaker 1: No one can prevent all identity theft or monitor all 322 00:18:51,720 --> 00:18:54,440 Speaker 1: transactions at all businesses, but you can help protect what's 323 00:18:54,440 --> 00:18:57,439 Speaker 1: yours with LifeLock. Join now save twenty five percent off 324 00:18:57,480 --> 00:19:00,159 Speaker 1: your first year with promo code buck. Call one eight 325 00:19:00,280 --> 00:19:03,200 Speaker 1: hundred LifeLock or gonna LifeLock dot com and use promo 326 00:19:03,280 --> 00:19:14,200 Speaker 1: code buck for twenty five percent of Welcome Back Playing 327 00:19:14,240 --> 00:19:19,280 Speaker 1: Buck Show going strong, and we are staying on topic, 328 00:19:19,400 --> 00:19:22,800 Speaker 1: on task in the fight when it comes to COVID 329 00:19:23,240 --> 00:19:26,439 Speaker 1: madness that's spread all over the country and continues in 330 00:19:26,520 --> 00:19:29,280 Speaker 1: pockets here and there today and obviously still affecting our military. 331 00:19:29,280 --> 00:19:31,800 Speaker 1: As we just discussed. We got the man who looks 332 00:19:31,800 --> 00:19:34,680 Speaker 1: at the numbers and doesn't care what the lunatics say. 333 00:19:34,920 --> 00:19:38,040 Speaker 1: He just goes with the data. Alex Barrenson with US 334 00:19:38,080 --> 00:19:41,240 Speaker 1: now author of Pandemia and also has a great sub 335 00:19:41,280 --> 00:19:44,000 Speaker 1: stack that I subscribe to, Clay subscribes to. We recommend 336 00:19:44,040 --> 00:19:46,680 Speaker 1: you check it out. Mister Barrenson, gonna talk to you 337 00:19:46,680 --> 00:19:50,240 Speaker 1: against sir. Are you guys together today because you know, 338 00:19:50,320 --> 00:19:52,679 Speaker 1: lately it's been one or the other. Well, you know 339 00:19:52,880 --> 00:19:55,760 Speaker 1: we usually sh season. You got you gotta know how 340 00:19:55,760 --> 00:19:58,400 Speaker 1: this thing works, exactly. We gotta subtimes after some time away. 341 00:19:58,440 --> 00:20:01,240 Speaker 1: Pay's got a family, so doesn't that for me? No, 342 00:20:01,320 --> 00:20:04,840 Speaker 1: I don't take any vacation. That's true. So here's here's 343 00:20:04,840 --> 00:20:06,840 Speaker 1: the deal, Alex, I need to explain to me how 344 00:20:07,680 --> 00:20:10,080 Speaker 1: they're still saying. I mean, I read this story. This 345 00:20:10,160 --> 00:20:13,840 Speaker 1: was amazing to be it was ABC News, just a 346 00:20:13,880 --> 00:20:17,200 Speaker 1: couple of weeks ago, and it was saying, Okay, a 347 00:20:17,240 --> 00:20:22,240 Speaker 1: growing proportion of COVID nineteen debts are occurring among the vaccinated, 348 00:20:22,560 --> 00:20:27,440 Speaker 1: and that as of February twenty twenty two, more than 349 00:20:27,560 --> 00:20:32,760 Speaker 1: forty percent of those who died from COVID were fully vaccinated. 350 00:20:33,080 --> 00:20:36,000 Speaker 1: But I thought this was fascinating, the line that quote 351 00:20:36,400 --> 00:20:40,200 Speaker 1: these data should not be interpreted as vaccines not working, 352 00:20:40,480 --> 00:20:45,320 Speaker 1: end quote from an expert. Can you explain that to me? Yeah, yeah, 353 00:20:45,359 --> 00:20:48,560 Speaker 1: I mean they're they're lying, like they've been lying now 354 00:20:48,640 --> 00:20:54,040 Speaker 1: for a year about the vaccine. Uh. Look, it's much 355 00:20:54,080 --> 00:20:57,679 Speaker 1: worse than forty percent. Okay, there's no way. It's not 356 00:20:57,760 --> 00:21:01,000 Speaker 1: much worse than forty percent because in countries have more 357 00:21:01,040 --> 00:21:04,600 Speaker 1: accurate data and less pressure and all those pressure everywhere 358 00:21:04,600 --> 00:21:08,159 Speaker 1: to pretend vaccines work. It's it's worse in the United States. Uh, 359 00:21:08,320 --> 00:21:10,440 Speaker 1: you know because of the relationship between me. What is 360 00:21:10,440 --> 00:21:12,560 Speaker 1: it in the UK? For example, Alex, do we know? 361 00:21:12,640 --> 00:21:15,040 Speaker 1: I mean, can you give us a comparison? It's it's 362 00:21:15,080 --> 00:21:18,760 Speaker 1: it's like it's like eighty I mean, you know, the 363 00:21:18,840 --> 00:21:23,159 Speaker 1: UK stop giving out the data itself. Actually in I 364 00:21:23,160 --> 00:21:26,240 Speaker 1: believe April, but the last reports were in the ninety 365 00:21:26,280 --> 00:21:31,040 Speaker 1: percent range. Okay. So, so the vaccines have zero efficacy 366 00:21:31,400 --> 00:21:35,120 Speaker 1: for infection or transmission against homicron that nobody disputes that, Okay. 367 00:21:35,119 --> 00:21:38,879 Speaker 1: In fact, they probably have negative epics. Okay. So the 368 00:21:39,040 --> 00:21:42,320 Speaker 1: question then becomes, is there some magic way in which 369 00:21:42,760 --> 00:21:47,080 Speaker 1: they have positive efficacy against severe outcomes even though they 370 00:21:47,119 --> 00:21:50,480 Speaker 1: do nothing to stop infection or transmission and possibly even 371 00:21:50,560 --> 00:21:53,000 Speaker 1: hurt it. And yeah, there's a theoretical case to be 372 00:21:53,119 --> 00:21:56,480 Speaker 1: made that that's that that's possible, but the data don't 373 00:21:56,560 --> 00:21:59,400 Speaker 1: really support it. And we've been playing so many games 374 00:21:59,400 --> 00:22:02,359 Speaker 1: with our data for so long that it's basically untrustworthy. 375 00:22:02,760 --> 00:22:05,399 Speaker 1: But the truth about the vaccines is different. There was 376 00:22:05,440 --> 00:22:08,160 Speaker 1: this magic period last year when they stopped the infection 377 00:22:08,200 --> 00:22:11,640 Speaker 1: and transmission. They gave people a lot of antibodies. It lasted, 378 00:22:11,880 --> 00:22:14,240 Speaker 1: you know, about four months, four to six months after 379 00:22:14,280 --> 00:22:17,639 Speaker 1: the second does. Ever since then, the data has gotten 380 00:22:17,680 --> 00:22:21,360 Speaker 1: worse and worse and worse. And by the way, before 381 00:22:21,440 --> 00:22:23,840 Speaker 1: you got that second dose, after your first dose, you're 382 00:22:23,840 --> 00:22:26,280 Speaker 1: actually a higher risk for infection to The vaccines have 383 00:22:26,440 --> 00:22:30,719 Speaker 1: been a bad bet almost from the beginning, and since, 384 00:22:30,840 --> 00:22:33,160 Speaker 1: you know, since sort of last summer or early fall, 385 00:22:33,200 --> 00:22:36,560 Speaker 1: they've been a terrible bet, and the boosters never were 386 00:22:36,600 --> 00:22:39,240 Speaker 1: going to work and haven't really worked. And that's why 387 00:22:39,280 --> 00:22:41,280 Speaker 1: this is going on and on and on. And here's 388 00:22:41,280 --> 00:22:43,640 Speaker 1: what's interesting. Okay, there's two very interesting things to happen. 389 00:22:43,960 --> 00:22:45,760 Speaker 1: You know. I wrote it back this week. It actually 390 00:22:45,800 --> 00:22:47,240 Speaker 1: got a lot of attention. I got a lot of 391 00:22:47,280 --> 00:22:50,440 Speaker 1: email from people. If you go to a doctor's office now, 392 00:22:50,600 --> 00:22:54,040 Speaker 1: more and more doctors have just dropped any discussion of 393 00:22:54,080 --> 00:22:57,600 Speaker 1: COVID and of the vaccine, and they will never admit, 394 00:22:57,680 --> 00:22:59,399 Speaker 1: I mean, except you know, to their friends or the 395 00:22:59,480 --> 00:23:02,960 Speaker 1: doctors or not to averagetation why they've done this. But 396 00:23:03,080 --> 00:23:05,920 Speaker 1: they've seen too many cases a side effects, and they've 397 00:23:05,920 --> 00:23:08,560 Speaker 1: seen too many cases of people who've been vaccinated and 398 00:23:08,600 --> 00:23:10,960 Speaker 1: boosts and are coming in with COVID, so they know 399 00:23:11,040 --> 00:23:14,479 Speaker 1: the vaccines don't work anymore. They're under tremendous pressure from 400 00:23:14,520 --> 00:23:17,119 Speaker 1: the health authorities, from the medical state, medical boards in 401 00:23:17,200 --> 00:23:19,919 Speaker 1: the m and not to talk, not to tell the truth, 402 00:23:20,160 --> 00:23:24,280 Speaker 1: so they just dropped it. And I got so many emails, 403 00:23:24,320 --> 00:23:28,600 Speaker 1: both from patients and from physicians about this, so people know. 404 00:23:28,960 --> 00:23:32,280 Speaker 1: Everybody knows the vaccines don't really work at this point, 405 00:23:32,280 --> 00:23:34,359 Speaker 1: and we've all just decided to stop talking about it. 406 00:23:34,600 --> 00:23:36,080 Speaker 1: The second self to back and this one I just 407 00:23:36,119 --> 00:23:39,719 Speaker 1: put out this morning, is that all cosmortality is up 408 00:23:39,760 --> 00:23:42,159 Speaker 1: again in Europe. Okay, so the data in Europe is 409 00:23:42,160 --> 00:23:44,399 Speaker 1: just better than the data and METADS. One thing about 410 00:23:44,440 --> 00:23:48,400 Speaker 1: you big bureaucratic countries is they collect data pretty well 411 00:23:48,400 --> 00:23:50,040 Speaker 1: and they put it out and even in a country 412 00:23:50,080 --> 00:23:52,120 Speaker 1: like Germany and other ones, they put it out in English. 413 00:23:52,119 --> 00:23:53,879 Speaker 1: You can see what it is and it's very up 414 00:23:53,920 --> 00:23:57,440 Speaker 1: to date. So last fall, about three or four months 415 00:23:57,440 --> 00:24:00,680 Speaker 1: after the first round of the MR and as these 416 00:24:00,680 --> 00:24:03,439 Speaker 1: countries had big spikes in all cosmic tality I mean 417 00:24:03,560 --> 00:24:07,000 Speaker 1: deaths from heart attack, cancer, COVID everything else. That's the 418 00:24:07,080 --> 00:24:09,080 Speaker 1: sort of best way to measure what's going on with 419 00:24:09,080 --> 00:24:12,480 Speaker 1: the health of a society. And if you if you look, 420 00:24:13,119 --> 00:24:15,879 Speaker 1: we can predict very accurately how many people are going 421 00:24:15,920 --> 00:24:18,439 Speaker 1: to die in a given week or month. Like we're 422 00:24:18,520 --> 00:24:21,840 Speaker 1: good at that, and it's very it's very reasonable, and 423 00:24:21,840 --> 00:24:24,040 Speaker 1: it just I mean it's it's like very predictable and 424 00:24:24,040 --> 00:24:27,560 Speaker 1: it just changes with the weather basically. So so these 425 00:24:27,560 --> 00:24:30,959 Speaker 1: countries saw a big spike in increases. Now there were 426 00:24:30,960 --> 00:24:33,400 Speaker 1: a lot of theories about that. One theory was, well, 427 00:24:33,440 --> 00:24:36,840 Speaker 1: you know, people had delayed healthcare or long COVID. It 428 00:24:36,920 --> 00:24:39,960 Speaker 1: was also, you know, plausible that there was some delayed 429 00:24:40,040 --> 00:24:43,840 Speaker 1: impact from the vaccines, especially on heart disease. Okay, So 430 00:24:43,880 --> 00:24:46,639 Speaker 1: what happened in the spring and the winter. In the spring, well, 431 00:24:46,800 --> 00:24:50,919 Speaker 1: that whip went away. Okay, deaths went back to normal 432 00:24:50,960 --> 00:24:52,719 Speaker 1: and even a little bit below normal. And how many 433 00:24:52,760 --> 00:24:57,119 Speaker 1: these countries And guess what happened. They boosted again, Okay, 434 00:24:57,280 --> 00:24:59,040 Speaker 1: or they boosted for the first time. They gave a 435 00:24:59,080 --> 00:25:01,159 Speaker 1: lot of people, more people in Europe than in the 436 00:25:01,280 --> 00:25:05,040 Speaker 1: US got boosted. Like the boosters were not really optional 437 00:25:05,240 --> 00:25:07,480 Speaker 1: in Europe in the way they were in the US. 438 00:25:07,600 --> 00:25:13,159 Speaker 1: And and so right now those European countries are again 439 00:25:13,280 --> 00:25:17,439 Speaker 1: seeing a spike in all cause mortality. Okay, you can't 440 00:25:17,440 --> 00:25:21,840 Speaker 1: say that this is because there's been delayed healthcare, because 441 00:25:21,840 --> 00:25:24,080 Speaker 1: if that were the answer, why would it have gone 442 00:25:24,119 --> 00:25:27,280 Speaker 1: down in the spring. So to me, this is a 443 00:25:27,359 --> 00:25:29,639 Speaker 1: And by the way, the people the age group that 444 00:25:29,680 --> 00:25:32,800 Speaker 1: has seen the biggest jump in all caused mortality is 445 00:25:32,840 --> 00:25:35,640 Speaker 1: the elderly, and those were the people who are most 446 00:25:35,680 --> 00:25:39,600 Speaker 1: likely to be boosted. So so that is like as 447 00:25:39,640 --> 00:25:42,040 Speaker 1: bad as you know, people's view of the vaccines has 448 00:25:42,080 --> 00:25:45,320 Speaker 1: sort of quietly become despite the endless propaganda that they 449 00:25:45,359 --> 00:25:48,719 Speaker 1: hear it to me, it actually has not caught up 450 00:25:48,760 --> 00:25:52,080 Speaker 1: to the reality. Right now, I'm sorry, I'm I'm on 451 00:25:52,160 --> 00:25:58,159 Speaker 1: a trade platform, all right. We know, alex So alex um. 452 00:26:00,720 --> 00:26:04,120 Speaker 1: With all of this in mind, how insane is it 453 00:26:04,160 --> 00:26:07,200 Speaker 1: that people would be giving COVID shots at this point 454 00:26:07,240 --> 00:26:11,080 Speaker 1: to their kids younger than five. Oh, it's just not 455 00:26:11,119 --> 00:26:13,479 Speaker 1: going to happen. Just I mean, the data like they 456 00:26:13,560 --> 00:26:16,720 Speaker 1: can they can approve this in mid June, and you know, 457 00:26:16,920 --> 00:26:19,600 Speaker 1: I think uptake will be less than ten percent, okay, 458 00:26:19,600 --> 00:26:22,760 Speaker 1: because if you look at sort of older teams, it's 459 00:26:22,760 --> 00:26:27,240 Speaker 1: in the fifty percent range. Kids five to eleven, it's 460 00:26:27,240 --> 00:26:30,119 Speaker 1: in the twenty five percent range. And most of that 461 00:26:30,240 --> 00:26:33,760 Speaker 1: was last year when pediatricians were still boosting because they're 462 00:26:33,800 --> 00:26:36,480 Speaker 1: trying to scream that there's this huge demand for kids 463 00:26:36,600 --> 00:26:39,399 Speaker 1: under five. You're saying, you think only like ten percent 464 00:26:39,400 --> 00:26:41,520 Speaker 1: of parents are going to do it. Oh yeah, I 465 00:26:41,560 --> 00:26:42,960 Speaker 1: mean if you look at if you look at the 466 00:26:43,000 --> 00:26:46,920 Speaker 1: I mean, essentially, essentially they're basically close to no vaccines, 467 00:26:47,200 --> 00:26:49,480 Speaker 1: Mr Anda, COVID vaccines being given in the United States 468 00:26:49,560 --> 00:26:52,840 Speaker 1: these days, there's about thirty thousand people who get it 469 00:26:52,880 --> 00:26:54,680 Speaker 1: for the first time. I don't know who those thirty 470 00:26:54,680 --> 00:26:57,200 Speaker 1: thousand people are, how they're being forced into it. There's 471 00:26:57,240 --> 00:26:59,920 Speaker 1: about thirty or forty thousand people who get a set 472 00:27:00,040 --> 00:27:02,760 Speaker 1: can does to complete the primary series. There's about one 473 00:27:02,840 --> 00:27:06,400 Speaker 1: hundred thousand people still getting a third booster. I mean 474 00:27:06,400 --> 00:27:08,600 Speaker 1: it's you know, a third shot, a first booster, and 475 00:27:08,600 --> 00:27:11,320 Speaker 1: then there's a couple hundred thousand and getting a fourth booster. 476 00:27:11,520 --> 00:27:13,280 Speaker 1: But if you look at the number of people who've 477 00:27:13,320 --> 00:27:16,160 Speaker 1: gotten their second booster the fourth shot since and now 478 00:27:16,160 --> 00:27:19,440 Speaker 1: we're two months into that, it's only about fifteen million people. 479 00:27:19,560 --> 00:27:21,479 Speaker 1: And there's three hundred third and million people in the country. 480 00:27:21,600 --> 00:27:24,560 Speaker 1: Right the vaccines are dead and the only thing that's 481 00:27:24,560 --> 00:27:26,360 Speaker 1: going to happen to him is they're gonna get They're 482 00:27:26,359 --> 00:27:28,159 Speaker 1: gonna get tossed, right, They're gonna be they're gonna be 483 00:27:28,200 --> 00:27:30,240 Speaker 1: allowed to freeze in storage for a few months, and 484 00:27:30,280 --> 00:27:32,439 Speaker 1: then they're gonna get tossed. And this idea that that 485 00:27:32,520 --> 00:27:34,240 Speaker 1: a lot of parents are going to get their kids 486 00:27:34,320 --> 00:27:37,840 Speaker 1: vaccinated nonsense, especially because pediatricians are not pushing it. Just 487 00:27:37,840 --> 00:27:39,480 Speaker 1: one more quick, one free Alex, And we're speaking to 488 00:27:39,480 --> 00:27:42,959 Speaker 1: Alex Berenson. Get his book Pandemia subscribe to as sub stack. 489 00:27:43,720 --> 00:27:47,680 Speaker 1: And doctor Burkes is still out there making the rounds. 490 00:27:47,680 --> 00:27:50,240 Speaker 1: How she's been a little mia recently. Well Lenski is 491 00:27:50,240 --> 00:27:53,000 Speaker 1: in like the Witness Protection program. You know, she's dyed 492 00:27:53,000 --> 00:27:55,240 Speaker 1: her hair blonde and is living, you know, somewhere in 493 00:27:55,320 --> 00:27:59,040 Speaker 1: northern Montana. But anyway, Um, I just want to know 494 00:27:59,359 --> 00:28:01,920 Speaker 1: doctor Burkes still saying that Masks work. She's still going 495 00:28:01,920 --> 00:28:04,560 Speaker 1: around saying we know that mass work. And I just 496 00:28:04,720 --> 00:28:07,159 Speaker 1: is she a sociopath? Is she just didn't denial? Like 497 00:28:07,440 --> 00:28:09,119 Speaker 1: what what do you think is going on? Because she 498 00:28:09,119 --> 00:28:13,280 Speaker 1: was supposed to be more reasonable than Fauci. Well that's actually, uh, 499 00:28:13,840 --> 00:28:17,960 Speaker 1: that's actually not true if you lead what Scott Atlas said. Uh, 500 00:28:18,520 --> 00:28:22,119 Speaker 1: you know in his book, Atlas found that Burks was 501 00:28:22,160 --> 00:28:26,560 Speaker 1: actually the worst. Really quietly, yeah, as she quietly was 502 00:28:26,600 --> 00:28:30,639 Speaker 1: just absolutely impossible to feel it. Um, I mean the 503 00:28:30,680 --> 00:28:33,480 Speaker 1: pat is so so Sucha's like sucha's you know, I 504 00:28:33,520 --> 00:28:35,680 Speaker 1: don't know what goes on in his mind, but he's 505 00:28:35,720 --> 00:28:38,640 Speaker 1: pretty smart and the rest of them do not seem 506 00:28:38,640 --> 00:28:40,920 Speaker 1: to be very smart. Red Field certainly wasn't very smart 507 00:28:41,320 --> 00:28:44,320 Speaker 1: Um and Burks. You know, Brooks was like doing her 508 00:28:44,360 --> 00:28:46,800 Speaker 1: little road trips in the summer of twenty twenty, trying 509 00:28:46,840 --> 00:28:50,080 Speaker 1: to keep schools closed and kids masked. And you know 510 00:28:50,160 --> 00:28:54,479 Speaker 1: she if she hadn't an ounce of grace, she's going 511 00:28:54,560 --> 00:28:57,040 Speaker 1: to be apologizing and then disappear from the scene forever. 512 00:28:57,080 --> 00:28:59,280 Speaker 1: But of course nobody ever does that. Did you, by 513 00:28:59,280 --> 00:29:02,080 Speaker 1: the way, take some solace? And suddenly the New York 514 00:29:02,080 --> 00:29:04,920 Speaker 1: Times coming out and saying mask mandates don't work after 515 00:29:05,120 --> 00:29:09,560 Speaker 1: over two years of berating everyone with mask mandates working, no, 516 00:29:09,880 --> 00:29:13,200 Speaker 1: because they claim that masks do work. Well, I'm not 517 00:29:13,200 --> 00:29:17,480 Speaker 1: telling the truth about vaccines, I know of just sick 518 00:29:17,480 --> 00:29:19,680 Speaker 1: of it. I'm with alex Man. Until they bend the 519 00:29:19,720 --> 00:29:22,720 Speaker 1: knee and beg forgiveness, they're never going They're never going 520 00:29:22,760 --> 00:29:24,720 Speaker 1: to do it. But the fact that they wrote mask 521 00:29:24,800 --> 00:29:27,240 Speaker 1: mandates don't work, and then they tried to still argue 522 00:29:27,280 --> 00:29:30,000 Speaker 1: mask work, but the way people wear them don't work, right. 523 00:29:30,040 --> 00:29:32,200 Speaker 1: I mean, they're trying to thread a thin needle here 524 00:29:32,360 --> 00:29:35,160 Speaker 1: right now to try to make this happen. But it's 525 00:29:35,160 --> 00:29:37,760 Speaker 1: amazing how all the things that you said, I said, 526 00:29:37,800 --> 00:29:40,600 Speaker 1: Buck said that we got killed for for months now, 527 00:29:40,600 --> 00:29:43,320 Speaker 1: everybody suddenly is trying to tiptoe up to them being 528 00:29:43,360 --> 00:29:45,480 Speaker 1: trying to step you and Alex on my show because 529 00:29:45,520 --> 00:29:47,360 Speaker 1: you're the only people that would agree with me that 530 00:29:47,400 --> 00:29:49,720 Speaker 1: didn't think I was crazy. Jesse Kelly too, a few 531 00:29:49,760 --> 00:29:52,600 Speaker 1: other people, but not very many. But but you know, 532 00:29:52,680 --> 00:29:55,240 Speaker 1: it's going to be very interesting with the vaccines, you know, 533 00:29:55,320 --> 00:29:58,680 Speaker 1: come come the winter, right will they will they really 534 00:29:58,760 --> 00:30:02,320 Speaker 1: push for a booster? I mean, the data is just 535 00:30:02,440 --> 00:30:05,240 Speaker 1: so ugly. I just don't know how they do that 536 00:30:05,400 --> 00:30:08,400 Speaker 1: at this point, you know, and I do. I do 537 00:30:08,440 --> 00:30:10,640 Speaker 1: think what you're sort of seeing is like people are 538 00:30:10,680 --> 00:30:14,320 Speaker 1: just moving on right, and unfortunately from my point of 539 00:30:14,400 --> 00:30:16,080 Speaker 1: view that and it sounds like from your point of 540 00:30:16,120 --> 00:30:19,160 Speaker 1: view too, that's not good enough. Right, we need a 541 00:30:19,240 --> 00:30:22,640 Speaker 1: reckoning here. But how we get that when the people 542 00:30:22,720 --> 00:30:26,840 Speaker 1: who like should be apologizing are continuing to lie and 543 00:30:26,880 --> 00:30:28,760 Speaker 1: the rest of the country just wants to forget about it. 544 00:30:28,800 --> 00:30:31,680 Speaker 1: I don't know. It's a great question. Alex Barrenson follow 545 00:30:31,720 --> 00:30:33,400 Speaker 1: his sub stack, make sure you don't miss him, and 546 00:30:33,440 --> 00:30:36,120 Speaker 1: hopefully at one day he will be returned to social 547 00:30:36,160 --> 00:30:39,400 Speaker 1: media in a blaze of glory. I want to tell 548 00:30:39,440 --> 00:30:42,120 Speaker 1: you a lot of you it's Friday, It's around what 549 00:30:42,240 --> 00:30:45,320 Speaker 1: one forty five on the East coast, coming up on 550 00:30:45,760 --> 00:30:48,920 Speaker 1: eleven am on the West coast. 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Use 570 00:31:47,480 --> 00:31:51,800 Speaker 1: the code Clay and Buck black Rifle Coffee America's Coffee. 571 00:31:52,440 --> 00:31:55,320 Speaker 1: Don't miss a minute of Clay and Buck and get 572 00:31:55,360 --> 00:31:59,120 Speaker 1: behind the scene access do special context for members only. 573 00:31:59,360 --> 00:32:11,040 Speaker 1: Subscribe to C and B twenty four to seven. Welcome 574 00:32:11,040 --> 00:32:16,320 Speaker 1: back m Clay, Travis Buck Sexton Show. You know, it 575 00:32:16,440 --> 00:32:20,160 Speaker 1: is a good question that Alex raised there at the 576 00:32:20,320 --> 00:32:23,640 Speaker 1: end of the interview with us Buck, and it is 577 00:32:24,680 --> 00:32:30,480 Speaker 1: when is there going to be some sort of reckoning, 578 00:32:30,760 --> 00:32:33,640 Speaker 1: some sort of apology and how long is that going 579 00:32:33,680 --> 00:32:37,920 Speaker 1: to take for all of this COVID shot insanity and 580 00:32:38,080 --> 00:32:41,280 Speaker 1: obviously for us Buck. One big way to rectify this 581 00:32:41,680 --> 00:32:47,120 Speaker 1: is with a huge turnout in the mid term elections, 582 00:32:47,200 --> 00:32:52,160 Speaker 1: which is a monster red wave and then puts people 583 00:32:52,240 --> 00:32:56,760 Speaker 1: like doctor Fauci under subpoena where they have to answer questions, 584 00:32:57,080 --> 00:33:00,200 Speaker 1: allows a further investigation and Buck we talked about to 585 00:33:00,280 --> 00:33:03,280 Speaker 1: start the show last night, Joe Biden talked for twenty 586 00:33:03,320 --> 00:33:05,520 Speaker 1: minutes about the need for gun control and one of 587 00:33:05,520 --> 00:33:08,880 Speaker 1: the things he really made a big deal about was 588 00:33:09,040 --> 00:33:13,920 Speaker 1: that gun manufacturers have immunity from being sued for their product. Now, 589 00:33:13,920 --> 00:33:16,920 Speaker 1: I'm not an expert in exactly what that looks like, 590 00:33:16,960 --> 00:33:19,080 Speaker 1: because I know there have been lots of lawsuits against 591 00:33:19,080 --> 00:33:22,680 Speaker 1: gun manufacturers over the years. For instance, you can't sue 592 00:33:22,680 --> 00:33:25,520 Speaker 1: a car company because somebody decides to use the car 593 00:33:25,560 --> 00:33:28,560 Speaker 1: company to drive over somebody. But can you sue GINSU 594 00:33:28,640 --> 00:33:31,560 Speaker 1: knives if someone stabs someone to death. It's idiotic. Well, 595 00:33:31,600 --> 00:33:34,120 Speaker 1: you know who else has immunity that Almost nobody's talking 596 00:33:34,120 --> 00:33:39,880 Speaker 1: about COVID shot people. Our government gave them complete immunity 597 00:33:40,480 --> 00:33:44,760 Speaker 1: from any lawsuits arising from any issues that might occur 598 00:33:45,360 --> 00:33:49,280 Speaker 1: related to the COVID shots. And so if you're Freiser, 599 00:33:49,360 --> 00:33:51,960 Speaker 1: if you're Maderna, if you're Johnson and Johnson, all of 600 00:33:51,960 --> 00:33:57,600 Speaker 1: these different companies, they are able to dodge any responsibility 601 00:33:58,160 --> 00:34:01,560 Speaker 1: in the event that, as Alex Baron just said, it 602 00:34:01,720 --> 00:34:05,760 Speaker 1: was later proven that their shots made people sicker, put 603 00:34:05,760 --> 00:34:08,279 Speaker 1: them into positions where maybe they were more likely to 604 00:34:08,320 --> 00:34:12,400 Speaker 1: get COVID. There are arguments out there. If we actually 605 00:34:12,440 --> 00:34:16,800 Speaker 1: had a real science debate in the country right now, 606 00:34:17,120 --> 00:34:20,480 Speaker 1: it'd probably be talked about more. But people are voting 607 00:34:20,480 --> 00:34:22,920 Speaker 1: with the choices that they are making in their own life. 608 00:34:23,440 --> 00:34:25,640 Speaker 1: If Alex is right and only like ten percent of 609 00:34:25,680 --> 00:34:29,520 Speaker 1: people under the age of five get their kids COVID shots. 610 00:34:29,800 --> 00:34:32,879 Speaker 1: By the way, that entire ten percent is active on 611 00:34:32,920 --> 00:34:35,680 Speaker 1: Twitter and they have blue check marks beside their names, 612 00:34:36,360 --> 00:34:40,040 Speaker 1: because that's ninety percent of parents making the choice, which is, 613 00:34:40,120 --> 00:34:42,200 Speaker 1: by the way, the right decision, because your kids have 614 00:34:42,320 --> 00:34:44,200 Speaker 1: probably already had COVID. We got a couple of calls. 615 00:34:44,239 --> 00:34:47,200 Speaker 1: People went a way in Joyce in North Carolina, a 616 00:34:47,280 --> 00:34:51,560 Speaker 1: registered nurse. Joyce tell us your story. Oh my gosh, Okay, 617 00:34:51,640 --> 00:34:54,520 Speaker 1: So I work for a federal hospital and I have 618 00:34:54,640 --> 00:34:58,440 Speaker 1: fought taking the shot for two years with a religious exemption. 619 00:34:58,960 --> 00:35:02,480 Speaker 1: They just decline that I'm my only bread winner and 620 00:35:02,520 --> 00:35:04,879 Speaker 1: I was going to lose a six figure income because 621 00:35:04,880 --> 00:35:07,600 Speaker 1: I've been a nurse for about twenty five years now. 622 00:35:07,640 --> 00:35:11,520 Speaker 1: They have created such a nursing shortage that they're talking 623 00:35:11,560 --> 00:35:16,440 Speaker 1: about paying an astronomical amount to try to get nurses in. 624 00:35:17,360 --> 00:35:20,320 Speaker 1: So I had to hunt down the Johnson and Johnson 625 00:35:20,560 --> 00:35:23,120 Speaker 1: because I was told that they wouldn't give it to 626 00:35:23,160 --> 00:35:26,840 Speaker 1: me in my hometown unless I was allergic to fiser, 627 00:35:26,960 --> 00:35:29,440 Speaker 1: so that kind of tort me off. So I was 628 00:35:29,480 --> 00:35:32,600 Speaker 1: able to find it, but I really hate being forced 629 00:35:32,719 --> 00:35:35,960 Speaker 1: to take this shot because I've had COVID twice and 630 00:35:36,000 --> 00:35:39,920 Speaker 1: I survived it. It makes no medical sense whatsoever. The 631 00:35:39,960 --> 00:35:42,359 Speaker 1: fact that they're still putting people through this joyce. And 632 00:35:42,400 --> 00:35:44,200 Speaker 1: this is why we want to tell everybody. We just 633 00:35:44,200 --> 00:35:46,520 Speaker 1: had somebody. You're a registered nurse, you're dealing with this. 634 00:35:47,000 --> 00:35:49,160 Speaker 1: We just had someone and his son who are both 635 00:35:49,200 --> 00:35:53,440 Speaker 1: in active or both in the US military, and people 636 00:35:53,440 --> 00:35:56,680 Speaker 1: are still suffering under these idiotic mandates. The Biden administrations 637 00:35:56,680 --> 00:35:58,600 Speaker 1: still fighting to put mass back on planes or at 638 00:35:58,640 --> 00:36:00,680 Speaker 1: least the power to do it. So, like we say, 639 00:36:00,719 --> 00:36:03,000 Speaker 1: the fight's not over, joyce staying there. We appreciate you 640 00:36:03,080 --> 00:36:09,000 Speaker 1: calling Scott in Tampa, Florida. What's up, Scott? Oh, just 641 00:36:09,040 --> 00:36:12,879 Speaker 1: another damn paradise brother. I hate to say this because, 642 00:36:12,920 --> 00:36:16,440 Speaker 1: to be honest, I'm really a generally optimistic, up the 643 00:36:16,600 --> 00:36:18,800 Speaker 1: kind of person. But I'm afraid there might be a 644 00:36:18,840 --> 00:36:22,240 Speaker 1: little bit more insidiousness behind what's going on than maybe 645 00:36:22,239 --> 00:36:27,520 Speaker 1: what you guys are gleaning. I think the subpoena emails 646 00:36:27,560 --> 00:36:30,520 Speaker 1: that came out to basically show that Fauci was given 647 00:36:31,480 --> 00:36:34,279 Speaker 1: public comments one hundred and maybe degrees opposite of what 648 00:36:34,320 --> 00:36:37,680 Speaker 1: he was writing out privately in his emails. I think 649 00:36:37,880 --> 00:36:42,480 Speaker 1: is basically smoke showing that you know he is so 650 00:36:42,640 --> 00:36:46,840 Speaker 1: closely connected to Piser, to the FDA, which is click 651 00:36:46,920 --> 00:36:50,400 Speaker 1: connected to Jimmy Fair Scott Clan I both believe that 652 00:36:50,440 --> 00:36:54,440 Speaker 1: he's the most destructive public employee of our lifetimes. So 653 00:36:54,560 --> 00:36:56,359 Speaker 1: I think I think, I think it would be hard 654 00:36:56,360 --> 00:36:59,120 Speaker 1: to argue we're giving Fauci cover on the show. I 655 00:36:59,640 --> 00:37:02,359 Speaker 1: would be very happy if he faced criminal charges. I mean, 656 00:37:02,440 --> 00:37:05,960 Speaker 1: I think you could make an aggressive case against doctor 657 00:37:06,000 --> 00:37:09,680 Speaker 1: Fauci based on some of his behavior relating to COVID 658 00:37:09,760 --> 00:37:12,359 Speaker 1: and some of the testimony and what I believe our 659 00:37:12,440 --> 00:37:15,560 Speaker 1: lies that he has given under oath, and I think 660 00:37:15,560 --> 00:37:19,080 Speaker 1: he needs to be more vigorously questioned going forward. Former 661 00:37:19,239 --> 00:37:23,000 Speaker 1: Special Forces Tim Kennedy and author He's with us next 662 00:37:23,040 --> 00:37:29,280 Speaker 1: Stick Around Fleet, Travis and Buck Sexton on the front 663 00:37:29,360 --> 00:37:30,680 Speaker 1: lines of truth