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 --> 00:00:06,960 Speaker 1: Sexton Show podcast. Welcome back to the Clay Travis and 3 00:00:07,160 --> 00:00:09,920 Speaker 1: Buck Sexton Show. I'm Buck with me, my main man, 4 00:00:10,039 --> 00:00:13,360 Speaker 1: Clay breaking it all down for you. The phone lines 5 00:00:13,400 --> 00:00:15,720 Speaker 1: are open eight hundred two A two two eight A two. 6 00:00:16,320 --> 00:00:21,880 Speaker 1: If you have a story of insane COVID authority, maybe 7 00:00:21,880 --> 00:00:23,680 Speaker 1: we could take that later on in the hour. You know, 8 00:00:23,680 --> 00:00:26,120 Speaker 1: if you've got them telling you, if you've been yelled 9 00:00:26,160 --> 00:00:28,840 Speaker 1: at by somebody recently to pull your mask up, well 10 00:00:28,840 --> 00:00:31,240 Speaker 1: they're at mask was, you know, down by their feet. 11 00:00:31,760 --> 00:00:33,199 Speaker 1: We want to hear about it. We want to hear 12 00:00:33,240 --> 00:00:35,520 Speaker 1: about the craziest stuff you've seen because with us now 13 00:00:35,840 --> 00:00:39,120 Speaker 1: is a man who has been in the crosshairs of 14 00:00:39,159 --> 00:00:44,159 Speaker 1: the Fauciites all along. Alex Barrenson. He was formerly a 15 00:00:44,159 --> 00:00:46,239 Speaker 1: New York Times reporter. He is the author of the 16 00:00:46,440 --> 00:00:51,640 Speaker 1: very excellent Untold Truths About COVID nineteen, a three part series. 17 00:00:51,920 --> 00:00:53,920 Speaker 1: You can get all of it on Amazon, assuming they 18 00:00:53,920 --> 00:00:56,440 Speaker 1: haven't tried to pull it off of Amazon. Alex, great 19 00:00:56,440 --> 00:00:58,920 Speaker 1: to have you, man, It's good to be with you. 20 00:00:59,680 --> 00:01:02,480 Speaker 1: I want to ask you, what is this stuff about? 21 00:01:02,800 --> 00:01:05,360 Speaker 1: So claid? I always talking about how we are not 22 00:01:05,959 --> 00:01:11,280 Speaker 1: part of the suppression the suppression apparatus, or we're not 23 00:01:11,280 --> 00:01:14,280 Speaker 1: covered by it. I mean insofar as we do radio. 24 00:01:14,400 --> 00:01:17,639 Speaker 1: So people will hear what you say. They cannot stop 25 00:01:17,680 --> 00:01:20,800 Speaker 1: you here, there's no algorithm that shuts it down. What 26 00:01:20,880 --> 00:01:23,360 Speaker 1: do you want to say about where we are right 27 00:01:23,400 --> 00:01:26,760 Speaker 1: now with vaccines that you're not supposed to say, but 28 00:01:26,840 --> 00:01:30,600 Speaker 1: that you truly and firmly believe. So uh so that's 29 00:01:30,640 --> 00:01:33,440 Speaker 1: a great question, um book. And you know I want 30 00:01:33,440 --> 00:01:36,399 Speaker 1: to say I now have direct a direct outlet too, 31 00:01:36,680 --> 00:01:39,120 Speaker 1: which is there's a there's a platform called Substack, a 32 00:01:39,160 --> 00:01:43,319 Speaker 1: publishing platform which a number of independent and some conservative 33 00:01:43,400 --> 00:01:46,200 Speaker 1: journalists have gone to recently, which you know, like a 34 00:01:46,280 --> 00:01:49,280 Speaker 1: Glenn Greenwald is not conservative, or a Matt Tait who's 35 00:01:49,320 --> 00:01:53,160 Speaker 1: not conservative. Um so I'm on there now. It's again. 36 00:01:53,320 --> 00:01:57,640 Speaker 1: The publishing platform is called substack, and mine is just 37 00:01:57,760 --> 00:02:00,240 Speaker 1: unreported truth. If you if you put an alex and 38 00:02:00,280 --> 00:02:03,000 Speaker 1: you'll find it. And I feel the need to say 39 00:02:03,000 --> 00:02:05,960 Speaker 1: that because you know, I was censored by Amazon last 40 00:02:06,040 --> 00:02:08,440 Speaker 1: year and I am on Twitter and they've been pretty good, 41 00:02:08,480 --> 00:02:10,480 Speaker 1: but I'm aware that they, you know, they could decide 42 00:02:10,520 --> 00:02:13,480 Speaker 1: to pull the plug on me if they wanted. Okay, 43 00:02:13,600 --> 00:02:16,000 Speaker 1: so now now that I got that out of the way, 44 00:02:16,400 --> 00:02:18,280 Speaker 1: here's what I think about the vaccines. And you can 45 00:02:18,320 --> 00:02:21,959 Speaker 1: read what I think in an uncharacatured way at that site. Okay, 46 00:02:22,040 --> 00:02:25,600 Speaker 1: that's upset. You can read the newsletters. UM, I think 47 00:02:25,639 --> 00:02:29,679 Speaker 1: the vaccines have a very complicated risk benefit analysis. This 48 00:02:29,760 --> 00:02:32,120 Speaker 1: is not me being a conspiracy theorist. I'm not let 49 00:02:32,200 --> 00:02:35,079 Speaker 1: five G or grass oxide or anything like that. What 50 00:02:35,120 --> 00:02:39,360 Speaker 1: I'm saying is these are complicated pharmaceutical products. I mean, 51 00:02:39,720 --> 00:02:43,400 Speaker 1: they they they they basically or technology that's never really 52 00:02:43,840 --> 00:02:46,480 Speaker 1: you know, been used on a wide scale until the 53 00:02:46,600 --> 00:02:50,240 Speaker 1: last few months. M We don't know how well they work, 54 00:02:50,560 --> 00:02:53,160 Speaker 1: We don't know how long they work. We don't really 55 00:02:53,200 --> 00:02:55,720 Speaker 1: know what the side effect profile is, um and we 56 00:02:55,760 --> 00:02:59,480 Speaker 1: don't and we and we know that COVID is far, far, 57 00:03:00,040 --> 00:03:03,200 Speaker 1: far more dangerous to older people and to really obese people, 58 00:03:03,240 --> 00:03:06,760 Speaker 1: to people with severe comorbidities than everybody else. So what 59 00:03:06,919 --> 00:03:10,360 Speaker 1: happened when these came out last year, when the clinical 60 00:03:10,400 --> 00:03:13,240 Speaker 1: trial data came out and they showed supposedly ninety five 61 00:03:13,280 --> 00:03:16,040 Speaker 1: percent efficacy, there was a push by all the people 62 00:03:16,040 --> 00:03:19,239 Speaker 1: who pushed everything else last year, like masks and lockdowns 63 00:03:19,240 --> 00:03:22,080 Speaker 1: and school closures. We're going to make everybody get these. 64 00:03:22,440 --> 00:03:24,880 Speaker 1: And guess what, It turns out that the mask is 65 00:03:24,880 --> 00:03:29,040 Speaker 1: a lot more complicated than anybody realized, although people should 66 00:03:29,040 --> 00:03:31,720 Speaker 1: have realized it at the time, and that there's a 67 00:03:32,240 --> 00:03:34,080 Speaker 1: you know that it appears that the side effects for 68 00:03:34,480 --> 00:03:37,800 Speaker 1: healthy young men, they can get my alcharditis, young women 69 00:03:37,880 --> 00:03:41,400 Speaker 1: can have these terrible blood clotting disorders. These are rare, 70 00:03:41,760 --> 00:03:45,040 Speaker 1: but COVID is also not very dangerous to those people. 71 00:03:45,440 --> 00:03:48,360 Speaker 1: And so for people let's say sixteen over seventeen over 72 00:03:48,440 --> 00:03:50,840 Speaker 1: the risk benefits of the vaccines, who looks pretty good, 73 00:03:51,000 --> 00:03:53,400 Speaker 1: not as good as we thought at first, but pretty good. 74 00:03:53,800 --> 00:03:57,400 Speaker 1: But for everybody else, it's far more complicated. And instead 75 00:03:57,440 --> 00:04:00,280 Speaker 1: of being honest about that, the public health is STEM 76 00:04:00,400 --> 00:04:02,520 Speaker 1: has not been telling the truth about it. And you know, 77 00:04:02,560 --> 00:04:04,360 Speaker 1: two months ago they were trying to and I use 78 00:04:04,400 --> 00:04:06,000 Speaker 1: the word soccer and I will use it again, they 79 00:04:06,000 --> 00:04:08,839 Speaker 1: were trying to sucker people with lotteries and stuff like that, 80 00:04:09,040 --> 00:04:11,600 Speaker 1: get younger people at low risk to get these. Now 81 00:04:11,600 --> 00:04:16,479 Speaker 1: they're getting angry and has threatening mandates. Alex This Clay Travis. 82 00:04:16,520 --> 00:04:18,400 Speaker 1: I appreciate all the work you've done over the past 83 00:04:18,400 --> 00:04:20,039 Speaker 1: few years, and I've had you on a few times 84 00:04:20,080 --> 00:04:22,880 Speaker 1: as well. Glad you're on with us here. So I 85 00:04:22,920 --> 00:04:26,760 Speaker 1: want to focus on kids for a minute. Here. There's 86 00:04:26,760 --> 00:04:29,279 Speaker 1: a big study that came out from England, and I 87 00:04:29,320 --> 00:04:33,080 Speaker 1: know you synthesize that study, but I got three kids. 88 00:04:33,120 --> 00:04:34,960 Speaker 1: I know you have kids too. I've got a thirteen 89 00:04:35,040 --> 00:04:36,400 Speaker 1: year old, I've got a ten year old, and I've 90 00:04:36,440 --> 00:04:39,000 Speaker 1: got a six year old. To me that you talk 91 00:04:39,040 --> 00:04:43,000 Speaker 1: about the risk benefit cost benefit analysis, there is no 92 00:04:43,120 --> 00:04:46,120 Speaker 1: way to justify based on all the data that I 93 00:04:46,160 --> 00:04:50,520 Speaker 1: have seen young children being given this vaccine for a 94 00:04:50,640 --> 00:04:55,240 Speaker 1: virus that literally essentially has a zero percent danger to them. 95 00:04:55,560 --> 00:04:57,680 Speaker 1: Can you quantify because there's a lot of parents and 96 00:04:57,760 --> 00:05:02,040 Speaker 1: grandparents out there, can you the risk analysis that you 97 00:05:02,120 --> 00:05:05,080 Speaker 1: think parents should go through as it pertains to kids 98 00:05:05,080 --> 00:05:08,760 Speaker 1: in particular and this vaccine? Sure, So the British data 99 00:05:09,440 --> 00:05:12,640 Speaker 1: is quite good. Britain has twelve million people under the 100 00:05:12,640 --> 00:05:16,600 Speaker 1: age of eighteen. They reported sixty one deaths from COVID, which, okay, 101 00:05:16,640 --> 00:05:18,200 Speaker 1: that would be one and two hundred thousand, which is 102 00:05:18,240 --> 00:05:20,200 Speaker 1: pretty low, but the real number is lower than that 103 00:05:21,160 --> 00:05:23,200 Speaker 1: because when they actually looked at death they found that 104 00:05:23,240 --> 00:05:25,360 Speaker 1: only twenty five of those could be linked to COVID, 105 00:05:25,480 --> 00:05:28,760 Speaker 1: so that's even lower than When they looked at who 106 00:05:28,760 --> 00:05:31,839 Speaker 1: those twenty five kids were, they found that thirteen had 107 00:05:31,839 --> 00:05:37,120 Speaker 1: what they called complex neurodegenerative disorders. You know, these are 108 00:05:37,160 --> 00:05:43,000 Speaker 1: kids with severe severe birth defects. Probably, so now we're 109 00:05:43,040 --> 00:05:45,120 Speaker 1: down to twelve. And then when they looked at those twelve, 110 00:05:45,160 --> 00:05:48,040 Speaker 1: they found that only six, only six out of twelve 111 00:05:48,160 --> 00:05:52,159 Speaker 1: million children or young adults in Britain, children or teens 112 00:05:52,160 --> 00:05:55,040 Speaker 1: in Britain who were previously healthy had died of COVID 113 00:05:55,120 --> 00:05:57,040 Speaker 1: in the first year of the epidemic. And Britain had 114 00:05:57,040 --> 00:05:59,640 Speaker 1: a bad COVID epidemic as bad as the US. So 115 00:05:59,640 --> 00:06:04,559 Speaker 1: that's one in two millions. So so why on earth 116 00:06:04,680 --> 00:06:08,520 Speaker 1: would we be encouraging children or young adults to get 117 00:06:08,520 --> 00:06:12,240 Speaker 1: a vaccine even if it had no risks for you know, 118 00:06:12,320 --> 00:06:15,600 Speaker 1: for for an illness that's that rare. And the fact 119 00:06:15,640 --> 00:06:18,279 Speaker 1: is it doesn't have no risks. There are many, many 120 00:06:18,560 --> 00:06:21,720 Speaker 1: cases of myochroditis, which is a hard inflammation which can 121 00:06:21,760 --> 00:06:23,680 Speaker 1: be quite serious, It can be mild, can also be 122 00:06:23,760 --> 00:06:27,520 Speaker 1: quite serious that have already shown up in UH in 123 00:06:27,720 --> 00:06:31,960 Speaker 1: the side effect reporting database, Alex, it seems it seems. 124 00:06:32,000 --> 00:06:33,720 Speaker 1: Can I ask you about this just when you talk 125 00:06:33,760 --> 00:06:36,600 Speaker 1: about the kids, because Deblasio, the mayor here in New York, 126 00:06:37,279 --> 00:06:41,200 Speaker 1: just said that he even though the CDC says vaccinated 127 00:06:41,320 --> 00:06:45,200 Speaker 1: kids shouldn't have to mask up, the policy right now 128 00:06:45,480 --> 00:06:48,400 Speaker 1: is masking in the schools. And you know, masking is 129 00:06:48,440 --> 00:06:51,160 Speaker 1: my it is my white whale. I it's the thing 130 00:06:51,160 --> 00:06:53,160 Speaker 1: that I will never concede, but we'll get at a 131 00:06:53,200 --> 00:06:56,800 Speaker 1: a in a moment um. Is this just because over 132 00:06:56,920 --> 00:07:02,120 Speaker 1: anxious adults like the teacher the teachers union folks don't 133 00:07:02,160 --> 00:07:04,480 Speaker 1: want to be exposed to the kids that may give 134 00:07:04,480 --> 00:07:06,560 Speaker 1: them the virus? I mean, is that they're because otherwise 135 00:07:06,560 --> 00:07:09,359 Speaker 1: it does seem completely insane. Or are they really saying 136 00:07:09,400 --> 00:07:11,520 Speaker 1: the one in a million risk to kids is too high? 137 00:07:11,640 --> 00:07:14,400 Speaker 1: Which is no. I mean, it's it's completely insane because 138 00:07:14,400 --> 00:07:17,840 Speaker 1: even if there were a higher risk, masks would do nothing, Okay, 139 00:07:18,000 --> 00:07:20,640 Speaker 1: And in the last year, unfortunately, what I've concluded about 140 00:07:20,680 --> 00:07:22,680 Speaker 1: masks is that is that the people in the public 141 00:07:22,720 --> 00:07:25,520 Speaker 1: health establishment view masks. They know that masks are useless. 142 00:07:25,560 --> 00:07:28,080 Speaker 1: Anybody who's looked at the data at all can see 143 00:07:28,120 --> 00:07:32,360 Speaker 1: the mass are useless. Masks are symbol Okay, this epidemic 144 00:07:32,560 --> 00:07:36,280 Speaker 1: essentially ended on the day that the CDC said people 145 00:07:36,320 --> 00:07:38,920 Speaker 1: who are vaccinated don't have to wear masks, because everybody 146 00:07:38,920 --> 00:07:41,800 Speaker 1: stopped wearing masks, whether you're vaccinated or not. And when 147 00:07:41,800 --> 00:07:44,880 Speaker 1: you don't see people masks, it is hard to remember 148 00:07:44,880 --> 00:07:47,520 Speaker 1: to be afraid of this thing that you know that's 149 00:07:47,560 --> 00:07:50,000 Speaker 1: never put anybody in the hospital, that you know, that's 150 00:07:50,040 --> 00:07:52,400 Speaker 1: never killed anybody that you know, or maybe you know 151 00:07:52,440 --> 00:07:55,040 Speaker 1: it killed your eighth or year old grandmother who had Alzheimer's. 152 00:07:55,440 --> 00:08:00,920 Speaker 1: The risks of COVID are, you know, side again from 153 00:08:00,960 --> 00:08:03,840 Speaker 1: that fraction of people who are who are very elderly 154 00:08:03,960 --> 00:08:07,000 Speaker 1: or very o piece, you know, are just so low 155 00:08:07,240 --> 00:08:10,280 Speaker 1: that it's impossible for anybody to stay scared of it. 156 00:08:10,320 --> 00:08:13,360 Speaker 1: And that's why we have to keep justifying these measures. 157 00:08:13,400 --> 00:08:16,440 Speaker 1: But and look, masks are problematic, But to me, vaccines 158 00:08:16,480 --> 00:08:18,840 Speaker 1: are much more problematic because a vaccine is not you know, 159 00:08:18,880 --> 00:08:20,960 Speaker 1: it's not a piece of cloth you can take off. 160 00:08:21,040 --> 00:08:23,600 Speaker 1: It is something that's being injected to you. And we 161 00:08:23,640 --> 00:08:25,920 Speaker 1: should know what the risks really are if we're going 162 00:08:26,000 --> 00:08:29,160 Speaker 1: to mandate that. Alex, I know you have young kids. 163 00:08:29,600 --> 00:08:32,800 Speaker 1: I have said my wife's agreed, we're not going to 164 00:08:32,840 --> 00:08:36,319 Speaker 1: get our kids vaccinated. We have one who theoretically might 165 00:08:36,360 --> 00:08:39,520 Speaker 1: be eligible now he's thirteen. Buck and I have been 166 00:08:39,559 --> 00:08:42,400 Speaker 1: open on this show. We both have had COVID ourselves. 167 00:08:42,480 --> 00:08:46,720 Speaker 1: I've been out and I still have COVID antibodies. So personally, 168 00:08:46,760 --> 00:08:49,839 Speaker 1: I don't see the point of me getting a vaccine 169 00:08:50,160 --> 00:08:52,840 Speaker 1: when I already have the antibodies that the vaccine would 170 00:08:52,840 --> 00:08:55,520 Speaker 1: be designed to give me. Some people out I mean, 171 00:08:55,600 --> 00:08:58,199 Speaker 1: and I think that's a pretty logical perspective. Now, some 172 00:08:58,240 --> 00:09:01,520 Speaker 1: people out there will will lay that kind of opinion 173 00:09:01,679 --> 00:09:03,800 Speaker 1: anti vax and that's not accurate. I think it's true 174 00:09:03,800 --> 00:09:06,600 Speaker 1: for you too. There are vaccines that children should get, 175 00:09:06,640 --> 00:09:09,199 Speaker 1: and my kids got all of the measles, Mom's rebella 176 00:09:09,280 --> 00:09:12,439 Speaker 1: all of those vaccines. But this is different, right, And 177 00:09:12,720 --> 00:09:15,040 Speaker 1: and what you're saying is we should actually be looking 178 00:09:15,040 --> 00:09:17,720 Speaker 1: at the logic and the analysis as opposed to just 179 00:09:17,840 --> 00:09:21,800 Speaker 1: accepting what we're being told. That's that's what It's absolutely different. 180 00:09:21,800 --> 00:09:25,040 Speaker 1: It works differently. It's like no other vaccine. It's being 181 00:09:25,080 --> 00:09:27,600 Speaker 1: pushed like no other vaccine. And then the two points 182 00:09:27,600 --> 00:09:29,720 Speaker 1: you raise are actually the two points that and again 183 00:09:29,760 --> 00:09:31,880 Speaker 1: I'm not a conspiracy theorist, but they're the two points 184 00:09:31,880 --> 00:09:34,840 Speaker 1: that come up the most that have the least good answers. 185 00:09:34,880 --> 00:09:37,760 Speaker 1: One is why would we push kids to be vaccinated? 186 00:09:38,040 --> 00:09:41,120 Speaker 1: And two, why aren't we telling people who have had 187 00:09:41,200 --> 00:09:43,800 Speaker 1: COVID who know they've had had, you know, had COVID 188 00:09:43,840 --> 00:09:46,520 Speaker 1: with the positive test and with antibodies. Why are we 189 00:09:46,520 --> 00:09:49,960 Speaker 1: telling those people who get vaccinated the natural immunity works. 190 00:09:50,080 --> 00:09:53,440 Speaker 1: And when they have studied this, okay, when they've looked 191 00:09:53,440 --> 00:09:56,640 Speaker 1: at large samples of people who've been uh, you know, 192 00:09:56,640 --> 00:10:00,319 Speaker 1: who have gotten COVID and looked at reinfection rates, they 193 00:10:00,320 --> 00:10:04,400 Speaker 1: are as low as reinfection as infection rates for the vaccine. 194 00:10:04,400 --> 00:10:07,120 Speaker 1: At the heak of vaccine efficacy, Alex, can I ask 195 00:10:07,240 --> 00:10:09,800 Speaker 1: why why can't FOUCHI Sorry, there's a million things as 196 00:10:09,800 --> 00:10:10,959 Speaker 1: you're talking that I want to ask you, but I 197 00:10:11,000 --> 00:10:12,600 Speaker 1: also don't want to interrupt your flow, and you know 198 00:10:12,600 --> 00:10:15,000 Speaker 1: we're gonna have to take a quick commercial break, Alex, 199 00:10:15,040 --> 00:10:17,640 Speaker 1: and we'll keep you through. But one question I want 200 00:10:17,640 --> 00:10:19,320 Speaker 1: to I want to put out there and then and 201 00:10:19,360 --> 00:10:20,760 Speaker 1: then what we can address it on the on the 202 00:10:20,800 --> 00:10:24,160 Speaker 1: other side would be why is it that we can't 203 00:10:24,160 --> 00:10:27,319 Speaker 1: get a straight answer about naturally drived immunity from the 204 00:10:27,320 --> 00:10:29,040 Speaker 1: public health authorities. But but but put a pin in that 205 00:10:29,080 --> 00:10:30,880 Speaker 1: for Alex for one second. We're gonna keep you through 206 00:10:31,080 --> 00:10:33,520 Speaker 1: and we're gonna address this on the other side. And 207 00:10:33,640 --> 00:10:35,280 Speaker 1: you know, it wasn't long ago that Clay and I 208 00:10:35,360 --> 00:10:38,400 Speaker 1: met the inventors, the inventor rather of my pillow, Mike Lindell. 209 00:10:38,520 --> 00:10:42,040 Speaker 1: He's incredible. 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Enter the promo code 227 00:11:31,360 --> 00:11:35,640 Speaker 1: Clay and Buck or call eight hundred seven nine two 228 00:11:35,720 --> 00:11:48,080 Speaker 1: thirty two sixty nine for these great radio specials. Walking 229 00:11:48,160 --> 00:11:50,760 Speaker 1: back again, Clay Travis Buck Sexton Show. Appreciate all of 230 00:11:50,800 --> 00:11:53,439 Speaker 1: you hanging out with us. We are talking right now 231 00:11:53,440 --> 00:11:56,120 Speaker 1: with Alex Berenson, who has done an amazing job of 232 00:11:56,240 --> 00:11:59,920 Speaker 1: covering the COVID insanity over the past year and a half, 233 00:12:00,520 --> 00:12:04,800 Speaker 1: and it feels a little bit like every time we talk, 234 00:12:04,880 --> 00:12:07,040 Speaker 1: and I know you feel like this sometimes, Alex as 235 00:12:07,040 --> 00:12:10,080 Speaker 1: well and Buck two that you know this is like 236 00:12:10,960 --> 00:12:14,679 Speaker 1: it's like you're cutting through all of the what I 237 00:12:14,679 --> 00:12:17,920 Speaker 1: would call cosmetic theater that has surrounded so much of 238 00:12:17,960 --> 00:12:21,439 Speaker 1: COVID and actually discussing data which the big tech companies 239 00:12:21,440 --> 00:12:24,640 Speaker 1: to a large extent don't want and certainly mainstream media 240 00:12:24,720 --> 00:12:26,520 Speaker 1: doesn't want. So I appreciate you being on with us, 241 00:12:26,520 --> 00:12:28,679 Speaker 1: Alex and continuing to do this work. And I want 242 00:12:28,679 --> 00:12:30,520 Speaker 1: to build on what Buck was just talking about. As 243 00:12:30,600 --> 00:12:33,200 Speaker 1: we went to break and re emphasize. Buck and I 244 00:12:33,240 --> 00:12:36,120 Speaker 1: have both had COVID. We are part of probably I 245 00:12:36,160 --> 00:12:38,360 Speaker 1: know you look at the data to Alex, around a 246 00:12:38,480 --> 00:12:41,400 Speaker 1: hundred million people and that might be conservative in the 247 00:12:41,480 --> 00:12:44,520 Speaker 1: United States who have had COVID and gotten over it. 248 00:12:44,960 --> 00:12:48,800 Speaker 1: No one seems willing to even talk about people like 249 00:12:49,080 --> 00:12:52,360 Speaker 1: us who know we have COVID antibodies, who had COVID 250 00:12:52,679 --> 00:12:55,080 Speaker 1: and it doesn't really make any sense for us to 251 00:12:55,120 --> 00:12:58,080 Speaker 1: go get the vaccine. Why does no one talk about 252 00:12:58,120 --> 00:13:02,280 Speaker 1: the hundred million conservative that's a conservative number in this country, 253 00:13:02,320 --> 00:13:06,280 Speaker 1: you have already had COVID. I mean, that's another great question. 254 00:13:06,440 --> 00:13:09,000 Speaker 1: I don't have the answer to that. I mean, all 255 00:13:09,040 --> 00:13:10,720 Speaker 1: I'm trying to do is look at what the data 256 00:13:10,800 --> 00:13:14,520 Speaker 1: says about whether or not people like you have good immunity. 257 00:13:14,559 --> 00:13:17,359 Speaker 1: And the answer to that question is yes, it's probably 258 00:13:17,440 --> 00:13:20,640 Speaker 1: better than vaccine generator immunity, because we know it's broader 259 00:13:20,640 --> 00:13:24,520 Speaker 1: than vaccine generated immunity. The vaccines only cause your body 260 00:13:24,520 --> 00:13:27,520 Speaker 1: to produce the spike protein, so you're only getting anybody's 261 00:13:27,559 --> 00:13:29,840 Speaker 1: against part of the virus, and in fact it's not 262 00:13:29,920 --> 00:13:32,440 Speaker 1: even the whole spike it looks like that for some reason, 263 00:13:32,760 --> 00:13:35,440 Speaker 1: the anybodies are mainly to one part of the protein 264 00:13:35,480 --> 00:13:38,320 Speaker 1: called the receptor binding domain, whereas if you get sick 265 00:13:38,360 --> 00:13:41,240 Speaker 1: with COVID, you have anybody's against this whole spike and 266 00:13:41,360 --> 00:13:44,640 Speaker 1: against other parts of the virus, and so it's reasonable 267 00:13:44,720 --> 00:13:48,120 Speaker 1: to assume that those would last longer and be more 268 00:13:48,200 --> 00:13:51,640 Speaker 1: resistant to mutations. Okay, and then there's other work that's 269 00:13:51,640 --> 00:13:54,880 Speaker 1: been done showing that it may even be detrimental for you, 270 00:13:55,200 --> 00:13:58,280 Speaker 1: if you're young and relatively healthy and had COVID to 271 00:13:58,320 --> 00:14:00,880 Speaker 1: get the vaccine, essentially because the vac can cause your 272 00:14:00,880 --> 00:14:04,080 Speaker 1: body to kind of go into overdrive and actually burn 273 00:14:04,120 --> 00:14:05,880 Speaker 1: out some of your T cells. Now, I'm not going 274 00:14:05,960 --> 00:14:08,560 Speaker 1: to that's very complicated technically, and I don't claim to 275 00:14:08,559 --> 00:14:10,839 Speaker 1: fully understand it, but but the papers that I've read 276 00:14:11,280 --> 00:14:15,000 Speaker 1: do say that, Well, Cleveland Clinic had a report right 277 00:14:15,120 --> 00:14:17,560 Speaker 1: Alex where they basically said that if you had to 278 00:14:17,640 --> 00:14:21,880 Speaker 1: choose between the two, that natural immunity meaning you got 279 00:14:21,880 --> 00:14:25,600 Speaker 1: the virus itself, as opposed to vaccine based immunity meaning 280 00:14:25,640 --> 00:14:29,280 Speaker 1: you get the vaccine, the natural immunity of getting COVID 281 00:14:29,440 --> 00:14:33,720 Speaker 1: provides more protection than the vaccine would in that scenario, 282 00:14:34,320 --> 00:14:36,280 Speaker 1: that's absolutely correct. And then to go to your point 283 00:14:36,280 --> 00:14:38,200 Speaker 1: about why aren't we talking about this, the Cleveland Clinic 284 00:14:38,320 --> 00:14:40,920 Speaker 1: essentially had to backtrack. They had to say, you know 285 00:14:40,920 --> 00:14:43,400 Speaker 1: a lot, we're not really saying this. And the reason 286 00:14:43,480 --> 00:14:45,800 Speaker 1: it came up was they were arguing, well, maybe we 287 00:14:45,800 --> 00:14:50,640 Speaker 1: should prioritize people who haven't had the vaccine to get doses, 288 00:14:50,680 --> 00:14:53,560 Speaker 1: and and because this was a little bit too honest, 289 00:14:53,600 --> 00:14:56,160 Speaker 1: they had the backtracks. I mean, this is something you 290 00:14:56,200 --> 00:14:57,760 Speaker 1: see this, you see this happen repeating whose this is 291 00:14:57,800 --> 00:15:00,400 Speaker 1: happening yesterday, believe it or not, with World Health or Zition, 292 00:15:00,760 --> 00:15:03,560 Speaker 1: a top scientist that the World Health Organization said yesterday, 293 00:15:04,000 --> 00:15:06,680 Speaker 1: we don't have good data on mixing doses. It's a 294 00:15:06,720 --> 00:15:08,800 Speaker 1: mistake to mix doses, which is what they've been talking 295 00:15:08,800 --> 00:15:11,360 Speaker 1: about doing in some countries and others. If you've got 296 00:15:11,400 --> 00:15:15,200 Speaker 1: the astrozenica vaccine, you can then get the maderna vaccine later, 297 00:15:15,520 --> 00:15:18,480 Speaker 1: even though we've never actually tested them in a clinical 298 00:15:18,520 --> 00:15:20,960 Speaker 1: trial that way. And she just pointed out, there's no 299 00:15:21,040 --> 00:15:23,880 Speaker 1: data here, that's a mistake. Well guess what. The vaccine 300 00:15:23,920 --> 00:15:26,440 Speaker 1: fanatics got to her, and she had to say, oh, 301 00:15:26,480 --> 00:15:28,720 Speaker 1: I'm not saying that it's a mistake if national health 302 00:15:28,760 --> 00:15:30,440 Speaker 1: authorities tell you to do it. I'm just saying it's 303 00:15:30,440 --> 00:15:33,080 Speaker 1: a mistake if you do it yourself. This has happened 304 00:15:33,320 --> 00:15:36,080 Speaker 1: over and over and over again in the last year, 305 00:15:36,080 --> 00:15:38,480 Speaker 1: and it's why people are suspicious, and it's why people 306 00:15:38,520 --> 00:15:41,720 Speaker 1: don't trust, you know, Anthony Faucy. And it's why even 307 00:15:41,720 --> 00:15:44,360 Speaker 1: though he attacked me directly a couple of days ago, 308 00:15:45,440 --> 00:15:48,440 Speaker 1: you know, it didn't stop me from continuing to accumulate 309 00:15:48,440 --> 00:15:51,160 Speaker 1: followers on Twitter, continuing to you know, have people sign 310 00:15:51,240 --> 00:15:55,400 Speaker 1: up for my sub stack. People want information that they 311 00:15:55,400 --> 00:15:59,720 Speaker 1: perceive as unfiltered, and that is unfiltered, and that's really 312 00:15:59,760 --> 00:16:02,280 Speaker 1: what I'm trying to do. Alex Fauci's a little lab 313 00:16:02,280 --> 00:16:04,960 Speaker 1: coat tyrant. I mean, I'll just say it. I'm I'm 314 00:16:05,000 --> 00:16:07,720 Speaker 1: fond of pointing out that this guy really should be 315 00:16:07,760 --> 00:16:11,440 Speaker 1: paid by MSNBC or CNN and not an I H 316 00:16:11,600 --> 00:16:14,960 Speaker 1: But I want to ask you more specifically, other than 317 00:16:14,960 --> 00:16:17,160 Speaker 1: just taking taking a shot at Fauci, who deserves I 318 00:16:17,200 --> 00:16:20,400 Speaker 1: think all the ire that I throw at him, why 319 00:16:20,600 --> 00:16:23,440 Speaker 1: is it that we don't hear more about whether there's 320 00:16:23,480 --> 00:16:25,840 Speaker 1: going to be boosters or not, because that should factor 321 00:16:26,080 --> 00:16:28,760 Speaker 1: very directly into you know, it seems like there's the 322 00:16:29,160 --> 00:16:32,640 Speaker 1: ninety percent number that came up with and Biden recently said, Okay, 323 00:16:32,680 --> 00:16:35,040 Speaker 1: we didn't hit it by fourth of July, and everyone's 324 00:16:35,120 --> 00:16:37,440 Speaker 1: kind of ignoring I mean normal people now. And I 325 00:16:37,440 --> 00:16:39,880 Speaker 1: also would posit to you that that there's an anxiety 326 00:16:39,920 --> 00:16:42,600 Speaker 1: disorder this has created that as affecting millions and millions 327 00:16:42,600 --> 00:16:45,360 Speaker 1: of people that COVID is. There's essentially a COVID nineteen 328 00:16:45,400 --> 00:16:48,640 Speaker 1: anxiety issue where people now are no longer rational or reasonable. 329 00:16:49,160 --> 00:16:51,360 Speaker 1: But what about the boosters? I mean, are we gonna 330 00:16:51,360 --> 00:16:54,000 Speaker 1: need them or not? And how can they not know? Um? 331 00:16:54,480 --> 00:16:57,880 Speaker 1: I think it looks like we're going to need them. Um, 332 00:16:58,440 --> 00:16:59,920 Speaker 1: either we're gonna need them or we're just gonna do 333 00:17:00,000 --> 00:17:03,720 Speaker 1: step vaccine failure because if you look at Israel and 334 00:17:03,800 --> 00:17:06,360 Speaker 1: the UK, which are the countries that led okay, they 335 00:17:06,480 --> 00:17:10,320 Speaker 1: led the way in vaccinations, they were faster than we were, 336 00:17:10,960 --> 00:17:14,119 Speaker 1: those countries have seen huge spikes in positive tests and 337 00:17:14,240 --> 00:17:17,640 Speaker 1: cases in the last four weeks or so and so, 338 00:17:17,720 --> 00:17:21,280 Speaker 1: and they haven't seen huge spikes in death or hospitalizations. 339 00:17:21,359 --> 00:17:23,920 Speaker 1: And there's a number of possible reasons for that, including 340 00:17:24,000 --> 00:17:27,199 Speaker 1: let's be honest, including one that the vaccines might be 341 00:17:27,280 --> 00:17:31,199 Speaker 1: offering partial protection even to people who are getting COVID 342 00:17:31,240 --> 00:17:32,840 Speaker 1: and so they're not winding up in the hospital. But 343 00:17:32,880 --> 00:17:36,280 Speaker 1: that's only one possible reason. But it is clear now 344 00:17:36,320 --> 00:17:38,560 Speaker 1: that the ninety five percent figure that was thrown around 345 00:17:38,600 --> 00:17:42,120 Speaker 1: last year is not accurate. Okay, it's it's not accurate 346 00:17:42,119 --> 00:17:44,160 Speaker 1: because at the beginning, believe it or not, you're more 347 00:17:44,240 --> 00:17:47,560 Speaker 1: likely to get COVID immediately after your first dose. Then 348 00:17:47,600 --> 00:17:49,159 Speaker 1: if you know, if you go through and you have 349 00:17:49,200 --> 00:17:51,280 Speaker 1: your second dose, you do enter a window where you 350 00:17:51,359 --> 00:17:54,320 Speaker 1: have pretty good protection. But that window doesn't appear to 351 00:17:54,400 --> 00:17:58,480 Speaker 1: last that long, and those countries are seeing that. Right now, 352 00:17:58,680 --> 00:18:00,959 Speaker 1: We're going to bring you back one more segment if 353 00:18:00,960 --> 00:18:03,439 Speaker 1: we can, Alice, because people are loading us down with questions. 354 00:18:03,440 --> 00:18:05,040 Speaker 1: We appreciate the time, and I want to tell you 355 00:18:05,080 --> 00:18:07,760 Speaker 1: as we go to break here nine to eleven, almost 356 00:18:07,800 --> 00:18:10,800 Speaker 1: twenty years ago now and the Tunnel of the Towers Foundation, 357 00:18:10,840 --> 00:18:14,040 Speaker 1: they are carrying forward a legacy of courage and heroism. 358 00:18:14,320 --> 00:18:17,359 Speaker 1: To mark twenty years, Tunnel of Towers is gifting America's 359 00:18:17,359 --> 00:18:21,240 Speaker 1: heroes and their families with two hundred mortgage free homes 360 00:18:21,320 --> 00:18:24,160 Speaker 1: and to honor the fallen chairman and CEO, Frank Siller, 361 00:18:24,280 --> 00:18:26,520 Speaker 1: is going to be walking more than five hundred miles 362 00:18:26,560 --> 00:18:30,680 Speaker 1: through six states in forty two days from the Pentagon 363 00:18:30,760 --> 00:18:33,920 Speaker 1: to Shanksville, culminating at ground zero on nine to eleven. 364 00:18:34,240 --> 00:18:37,399 Speaker 1: Towers of Light return to the Pentagon and Shanksville Memorials 365 00:18:37,480 --> 00:18:40,480 Speaker 1: in remembrance and on Veterans Day and other first the 366 00:18:40,520 --> 00:18:43,320 Speaker 1: soldiers we lost in the War on Terror are having 367 00:18:43,359 --> 00:18:47,680 Speaker 1: their names read aloud. This is the time to definitely 368 00:18:47,720 --> 00:18:51,240 Speaker 1: remember the words, never forget. They require action, do good 369 00:18:51,560 --> 00:18:54,359 Speaker 1: and take action now. Donate eleven dollars a month. That 370 00:18:54,440 --> 00:18:56,520 Speaker 1: T two t dot org. That's t the number, T 371 00:18:56,920 --> 00:19:06,360 Speaker 1: number two T dot org. The Russamball, the Man behind 372 00:19:06,680 --> 00:19:10,360 Speaker 1: the Golden Heib microphone. It's a new podcast hosted by 373 00:19:10,400 --> 00:19:13,240 Speaker 1: yours truly, James Golden or as many of you know 374 00:19:13,320 --> 00:19:16,760 Speaker 1: me both Snrdley. I'm going to take you behind the 375 00:19:16,800 --> 00:19:20,440 Speaker 1: scenes for an intimate look at the man Russ Lmball 376 00:19:20,680 --> 00:19:24,040 Speaker 1: who changed America as we know it. On iHeart or 377 00:19:24,040 --> 00:19:27,680 Speaker 1: wherever you listen to your favorite podcast presented by my 378 00:19:27,920 --> 00:19:31,720 Speaker 1: Pillow and the Tunnel to Towers Foundation. Welcome back to 379 00:19:31,720 --> 00:19:34,040 Speaker 1: the Clay Travison buck Sexton Show, and of course you 380 00:19:34,119 --> 00:19:37,200 Speaker 1: just heard there about mister Snrdley's podcast. Do check it out. 381 00:19:37,800 --> 00:19:40,320 Speaker 1: James is a great guy, great American, and I know 382 00:19:40,440 --> 00:19:42,919 Speaker 1: you all know and love him, so check out his podcast. 383 00:19:42,920 --> 00:19:45,800 Speaker 1: We get a chance, We have Alex Barrinson, whose sub 384 00:19:45,920 --> 00:19:48,520 Speaker 1: stack you will love if you subscribe if you care 385 00:19:48,560 --> 00:19:51,679 Speaker 1: about COVID matters and the truth. He is with us now, Alex. 386 00:19:51,680 --> 00:19:53,520 Speaker 1: We wanted to sort of focus for our last few 387 00:19:53,520 --> 00:19:57,480 Speaker 1: minutes here with you on where we go now because 388 00:19:57,920 --> 00:20:00,680 Speaker 1: you're seeing more and more people, notably the former Planned 389 00:20:00,720 --> 00:20:04,240 Speaker 1: Parenthood director, which that'll just put that aside for a second, 390 00:20:04,400 --> 00:20:08,640 Speaker 1: went on CNN and said we should make life uncomfortable 391 00:20:08,640 --> 00:20:12,199 Speaker 1: for the unvaccinated. More people are talking about mandates. The 392 00:20:12,200 --> 00:20:15,760 Speaker 1: Biden administration seems to want to use the private sector 393 00:20:16,240 --> 00:20:19,159 Speaker 1: as their cat's paw in a sense, as their instruments 394 00:20:19,200 --> 00:20:21,639 Speaker 1: here to get people to get vaccinated. Where is this 395 00:20:21,720 --> 00:20:24,639 Speaker 1: all going as you see it? I mean that that 396 00:20:24,760 --> 00:20:26,639 Speaker 1: is a great question, and it's funny people. You know, 397 00:20:26,640 --> 00:20:29,359 Speaker 1: people don't understand me at all. That these certainly the 398 00:20:29,440 --> 00:20:31,639 Speaker 1: people on the left don't understand me. And you know, 399 00:20:31,880 --> 00:20:34,879 Speaker 1: they like to say that I've secretly been vaccinated. I 400 00:20:35,200 --> 00:20:36,840 Speaker 1: said it on Twitter yesterday, and I'll say thank you. 401 00:20:36,960 --> 00:20:39,239 Speaker 1: I have have not been vaccinated. I don't want this. I 402 00:20:39,240 --> 00:20:41,000 Speaker 1: don't know how long it lasts. I don't know what 403 00:20:41,000 --> 00:20:43,600 Speaker 1: the side effects might be. I'm perfectly comfortable that if 404 00:20:43,600 --> 00:20:46,119 Speaker 1: I hadn't already gotten COVID, that I'll be fine if 405 00:20:46,160 --> 00:20:49,120 Speaker 1: I get it. So there's lots and lots of people 406 00:20:49,160 --> 00:20:52,840 Speaker 1: like me and you and Clay who just aren't interested 407 00:20:52,880 --> 00:20:55,320 Speaker 1: in this, and maybe in a few months or a 408 00:20:55,359 --> 00:20:57,800 Speaker 1: few years, will make our own decision about it and 409 00:20:57,840 --> 00:21:01,360 Speaker 1: we'll get there and that will be fine. But for 410 00:21:01,400 --> 00:21:03,679 Speaker 1: the government to force this and to force it on 411 00:21:03,840 --> 00:21:07,240 Speaker 1: children is insane, and we are seeing yet, we're seeing 412 00:21:07,280 --> 00:21:10,560 Speaker 1: now because half the working age population doesn't want to 413 00:21:10,560 --> 00:21:13,119 Speaker 1: be vaccinated, and because it looks like the parents of 414 00:21:13,160 --> 00:21:15,440 Speaker 1: sixty or seventy or eighty percent of kids don't want 415 00:21:15,440 --> 00:21:18,879 Speaker 1: them vaccinated. There's a sort of increasing fanaticism on the 416 00:21:18,920 --> 00:21:21,879 Speaker 1: other side, and they don't seem to understand what the 417 00:21:21,920 --> 00:21:23,720 Speaker 1: point of all of this was, which was to get 418 00:21:23,760 --> 00:21:26,240 Speaker 1: us back to normal life. You know, COVID is not 419 00:21:26,320 --> 00:21:28,359 Speaker 1: something that's going to go away forever. We're going to 420 00:21:28,440 --> 00:21:31,000 Speaker 1: have to manage it. We are managing it. Life is 421 00:21:31,040 --> 00:21:33,640 Speaker 1: going on, and the people who you know could benefit 422 00:21:33,680 --> 00:21:36,720 Speaker 1: the most from vaccines have almost universally gotten them now. 423 00:21:37,359 --> 00:21:40,480 Speaker 1: And it's funny to me when people say, oh, you 424 00:21:40,520 --> 00:21:43,800 Speaker 1: know that I benefit, but you know from this fight. 425 00:21:43,920 --> 00:21:47,480 Speaker 1: If they dropped this, if the Bible administration dropped these efforts, 426 00:21:47,680 --> 00:21:50,000 Speaker 1: my audience would go away tomorrow, at least, you know, 427 00:21:50,080 --> 00:21:52,760 Speaker 1: a lot of it would. It's because they're forcing this, 428 00:21:52,960 --> 00:21:55,160 Speaker 1: or trying or quasi forcing it, as I say. They're 429 00:21:55,240 --> 00:21:59,880 Speaker 1: using companies, they're using states, they're using educational institutions, they're 430 00:22:00,200 --> 00:22:02,919 Speaker 1: everything that can short of a national mandate to push 431 00:22:02,960 --> 00:22:05,680 Speaker 1: this that they're having such pushback, especially when they can't 432 00:22:05,680 --> 00:22:08,800 Speaker 1: answer the questions that you asked earlier. Why if I've 433 00:22:08,840 --> 00:22:11,120 Speaker 1: had this, what i'd be vaccinated? Why should my kids 434 00:22:11,160 --> 00:22:13,040 Speaker 1: who are at low risk be vaccinated? They don't have 435 00:22:13,080 --> 00:22:15,879 Speaker 1: good answers for those questions. I think they've just sort of, 436 00:22:16,320 --> 00:22:18,840 Speaker 1: you know, they've just forgotten what the point of all 437 00:22:18,880 --> 00:22:20,760 Speaker 1: of this is supposed to be. And we saw in 438 00:22:20,800 --> 00:22:24,040 Speaker 1: France yesterday. France took a big step towards becoming the 439 00:22:24,080 --> 00:22:27,080 Speaker 1: first Western country, first big Western country, to have a 440 00:22:27,160 --> 00:22:29,600 Speaker 1: quasi mandate. They're going to make it very difficult for 441 00:22:29,600 --> 00:22:32,520 Speaker 1: people who aren't vaccinated to go out. You're gonna have 442 00:22:32,520 --> 00:22:35,160 Speaker 1: to get tested all the time. And I guarantee you 443 00:22:35,680 --> 00:22:37,879 Speaker 1: that in the White House they're watching that and watching 444 00:22:37,920 --> 00:22:39,919 Speaker 1: to see what the reaction is going to be, because 445 00:22:40,200 --> 00:22:46,000 Speaker 1: because they won't acknowledge what they won't acknowledge the mistakes 446 00:22:46,040 --> 00:22:48,200 Speaker 1: they've made, and they won't acknowledge that the questions about 447 00:22:48,240 --> 00:22:51,080 Speaker 1: these vaccines are real and legitimate. I got a good 448 00:22:51,160 --> 00:22:52,760 Speaker 1: email the other day, and I'm curious what you would 449 00:22:52,800 --> 00:22:56,280 Speaker 1: say in response to this person. Alex emailed me and said, Hey, 450 00:22:56,280 --> 00:22:59,000 Speaker 1: I'm going to be a college freshman. I've already had COVID. 451 00:22:59,800 --> 00:23:02,520 Speaker 1: I have no issues at all with health. I had 452 00:23:02,560 --> 00:23:04,639 Speaker 1: COVID and it wasn't a very significant issue. This is 453 00:23:04,680 --> 00:23:08,199 Speaker 1: the person who emailed me. They said, my university is 454 00:23:08,280 --> 00:23:11,280 Speaker 1: requiring that I get the COVID vaccine. If I don't 455 00:23:11,280 --> 00:23:13,000 Speaker 1: get the COVID vaccine, and if I try to come 456 00:23:13,080 --> 00:23:14,560 Speaker 1: up with a medical reason why I don't want to 457 00:23:14,600 --> 00:23:17,520 Speaker 1: do that, they're going to require me to wear a mask, 458 00:23:17,720 --> 00:23:20,120 Speaker 1: you know, sort of scarlet letter, label me in some 459 00:23:20,200 --> 00:23:22,960 Speaker 1: way in all my classrooms and It's a guy who 460 00:23:23,040 --> 00:23:24,879 Speaker 1: was writing me and I was, you know, who's kind 461 00:23:24,920 --> 00:23:26,959 Speaker 1: of like, look, I'm eighteen, I want to meet girls, 462 00:23:27,000 --> 00:23:29,240 Speaker 1: and like I want to have a normal college experience, 463 00:23:29,280 --> 00:23:31,520 Speaker 1: and I don't want to be sitting in the classroom 464 00:23:31,840 --> 00:23:35,840 Speaker 1: like you know, this reprobate, this scarlet lettered mask wearer. 465 00:23:36,240 --> 00:23:38,639 Speaker 1: What would you say? And it's an interesting question. I 466 00:23:38,680 --> 00:23:41,040 Speaker 1: haven't responded to him yet, but what would you say 467 00:23:41,040 --> 00:23:43,280 Speaker 1: to people out there who are having to make decisions 468 00:23:43,359 --> 00:23:46,399 Speaker 1: like these because of their institutions or their employers that, 469 00:23:46,440 --> 00:23:49,200 Speaker 1: as Buck said, you're sort of getting a backdoor government 470 00:23:49,280 --> 00:23:52,479 Speaker 1: mandate because FAUCI is encouraging all these universities and all 471 00:23:52,520 --> 00:23:55,360 Speaker 1: these employers to try and require it as a condition 472 00:23:55,400 --> 00:23:59,119 Speaker 1: of going to school or working. I mean, I've got 473 00:23:59,359 --> 00:24:00,800 Speaker 1: I get the cuss want to and I've sort of 474 00:24:00,840 --> 00:24:03,359 Speaker 1: been dodging it because I don't have a good answer. Um, 475 00:24:03,560 --> 00:24:07,040 Speaker 1: you know, it looks it looks like, uh, the lawsuits 476 00:24:07,080 --> 00:24:10,040 Speaker 1: that are you know, they're fighting vaccines from these closemendates 477 00:24:10,040 --> 00:24:13,240 Speaker 1: are not are not moving forward. They're not they're not winning. Actually, 478 00:24:13,440 --> 00:24:15,760 Speaker 1: that's one subject I really want to do, is interview 479 00:24:15,760 --> 00:24:18,560 Speaker 1: a lawyer to discuss Um, you know why it is 480 00:24:18,600 --> 00:24:21,320 Speaker 1: that these these uh, these lawsuits. There was a big 481 00:24:21,400 --> 00:24:24,359 Speaker 1: lass in Houston. Why I got tossed, um, And so 482 00:24:24,840 --> 00:24:27,640 Speaker 1: right now it looks like employers the courts are giving 483 00:24:27,640 --> 00:24:31,200 Speaker 1: employers and UH and school's discretion. Now I think I 484 00:24:31,280 --> 00:24:33,080 Speaker 1: actually think if you're working, you have a little bit 485 00:24:33,160 --> 00:24:35,640 Speaker 1: more flexibility because the labor market is so tight right now, 486 00:24:35,680 --> 00:24:38,640 Speaker 1: and because so many adults of working age are not 487 00:24:38,720 --> 00:24:41,720 Speaker 1: being vaccinated. But but the schools, I mean, they're sort 488 00:24:41,760 --> 00:24:43,840 Speaker 1: of seeing my way or the highway and um, and 489 00:24:43,880 --> 00:24:46,399 Speaker 1: it's very hard to know what to do. And I 490 00:24:46,440 --> 00:24:48,320 Speaker 1: think a lot of students are just going to, you know, 491 00:24:48,600 --> 00:24:50,920 Speaker 1: cross their fingers, get vaccinated and hope they don't get 492 00:24:50,920 --> 00:24:54,480 Speaker 1: milkarditis or some other symptom. I mean, I it's hard 493 00:24:54,520 --> 00:24:56,399 Speaker 1: for me to tell somebody who's a team give up 494 00:24:56,400 --> 00:24:59,240 Speaker 1: a year of schooling and hope things get better, especially 495 00:24:59,320 --> 00:25:03,040 Speaker 1: because it does look like eventually these will get full approval. Now, 496 00:25:03,040 --> 00:25:05,480 Speaker 1: the FDA has been slow, and I think that's very interesting. 497 00:25:05,480 --> 00:25:07,760 Speaker 1: I think I do wonder if they're pushing the companies 498 00:25:07,800 --> 00:25:11,040 Speaker 1: for more data questions about the boosters on long term advocacy. 499 00:25:11,440 --> 00:25:14,280 Speaker 1: I wonder if there's some pushback happening inside the FDA 500 00:25:14,359 --> 00:25:17,160 Speaker 1: that we're not seeing, but it is likely that full 501 00:25:17,160 --> 00:25:19,280 Speaker 1: approval is coming, and then the pressure is going to 502 00:25:19,320 --> 00:25:21,479 Speaker 1: get even worse. Alex, do you think that we're going 503 00:25:21,520 --> 00:25:25,400 Speaker 1: to be in a place where this coming winter there 504 00:25:25,440 --> 00:25:28,280 Speaker 1: will be another I mean, we already at California recently, 505 00:25:28,680 --> 00:25:31,159 Speaker 1: or at least Los Angeles County started to say, oh 506 00:25:31,240 --> 00:25:34,159 Speaker 1: mask mandate indoors, we've heard about the delta variant, and 507 00:25:34,200 --> 00:25:37,080 Speaker 1: then the last you know, we're ready for the lambda variant, 508 00:25:37,119 --> 00:25:39,280 Speaker 1: and you know whatever comes after that in the Greek alphabet. 509 00:25:39,280 --> 00:25:41,200 Speaker 1: We all know that this is where this is going. 510 00:25:41,800 --> 00:25:44,600 Speaker 1: Do you think, yeah, Do you think that we could 511 00:25:44,680 --> 00:25:47,760 Speaker 1: be at a place in November and December of this 512 00:25:47,840 --> 00:25:51,360 Speaker 1: year where at least some states and some companies are 513 00:25:51,400 --> 00:25:55,840 Speaker 1: saying we're back in a quasi lockdown status? You know, 514 00:25:55,960 --> 00:25:58,560 Speaker 1: I hope not. The reason I think not is that 515 00:25:58,600 --> 00:26:01,320 Speaker 1: if you look at the UK and actually Scotland, which 516 00:26:01,359 --> 00:26:04,080 Speaker 1: had a very strict lockdown policy for much of last year, 517 00:26:04,600 --> 00:26:07,639 Speaker 1: they've kind of quietly thrown up their hands so so 518 00:26:07,800 --> 00:26:10,560 Speaker 1: cases went way up in the last few weeks. They 519 00:26:10,800 --> 00:26:13,480 Speaker 1: you know, they had huge lockdown, they vaccinated many people 520 00:26:13,480 --> 00:26:15,840 Speaker 1: as they could, as I've said from the beginning, virus 521 00:26:15,880 --> 00:26:19,320 Speaker 1: kind of virus. Okay, so they've had a big spike 522 00:26:19,400 --> 00:26:22,359 Speaker 1: in cases and they did not go back into lockdown. 523 00:26:22,400 --> 00:26:24,679 Speaker 1: In fact, in fact, Britain is having what they are 524 00:26:24,680 --> 00:26:27,480 Speaker 1: calling Freedom Day where every restriction is being dropped un 525 00:26:27,520 --> 00:26:30,960 Speaker 1: July nine keep and I think it is possible that 526 00:26:31,000 --> 00:26:35,920 Speaker 1: without admitting it, they that that, you know, the United 527 00:26:35,960 --> 00:26:38,040 Speaker 1: States will I mean, we've pretty much led the way 528 00:26:38,160 --> 00:26:41,000 Speaker 1: on that, so I think it's hard to back people 529 00:26:41,200 --> 00:26:46,080 Speaker 1: down again. I hope last question for you, because I 530 00:26:46,119 --> 00:26:48,040 Speaker 1: do think this is going to turn into a monster 531 00:26:48,200 --> 00:26:53,160 Speaker 1: battle as we go forward. Mask wearing four kids in school. 532 00:26:53,800 --> 00:26:57,359 Speaker 1: There is no scientific data whatsoever to support it. It 533 00:26:57,440 --> 00:26:59,719 Speaker 1: is cosmetic theater of the absurd. I don't know if 534 00:26:59,720 --> 00:27:01,840 Speaker 1: you last night to home run Derby. To me, this 535 00:27:01,960 --> 00:27:05,520 Speaker 1: kind of was a great metaphor. The entire stadium is maskless. 536 00:27:05,520 --> 00:27:07,719 Speaker 1: None of the players are wearing masks, none of the pitchers, 537 00:27:07,760 --> 00:27:10,160 Speaker 1: none of that scenario. They've got the kids who were 538 00:27:10,160 --> 00:27:12,879 Speaker 1: trying to field home run balls in the outfield, Alex 539 00:27:13,200 --> 00:27:16,960 Speaker 1: wearing masks in Denver. This idea that New York City 540 00:27:17,080 --> 00:27:19,080 Speaker 1: or LA or California and New York. Are you going 541 00:27:19,160 --> 00:27:21,880 Speaker 1: to make kids wear mask is one of the most 542 00:27:21,920 --> 00:27:26,720 Speaker 1: patently indefensible from a scientific perspectives rulings that I've ever seen. 543 00:27:27,080 --> 00:27:30,879 Speaker 1: Will there be protest against that stupidity? Or those parents 544 00:27:30,880 --> 00:27:32,440 Speaker 1: are going to be so excited their kids are back 545 00:27:32,440 --> 00:27:35,399 Speaker 1: in school they won't care. I think more of the latter. 546 00:27:35,480 --> 00:27:37,280 Speaker 1: And I think, you know, I don't know how your kids. 547 00:27:37,760 --> 00:27:39,479 Speaker 1: My kids don't really care about the masks. I mean, 548 00:27:39,520 --> 00:27:41,680 Speaker 1: they wear they should wear them sometimes on their own. 549 00:27:41,720 --> 00:27:44,040 Speaker 1: Now they're like, I mean I tell them to take 550 00:27:44,080 --> 00:27:46,480 Speaker 1: them off, right, yeah, but they've gotten used to it. 551 00:27:46,480 --> 00:27:48,800 Speaker 1: It's sort of stupid. I don't like it, but I'd 552 00:27:48,840 --> 00:27:51,720 Speaker 1: much rather have them wear a useless mask than be 553 00:27:51,800 --> 00:27:54,679 Speaker 1: forced to be vaccinated, if that's the choice. And you know, 554 00:27:54,880 --> 00:27:57,800 Speaker 1: I think, I think we're going to have to keep fighting. 555 00:27:57,800 --> 00:27:59,800 Speaker 1: And you know, it's funny. I've been put in. This 556 00:28:00,359 --> 00:28:01,879 Speaker 1: was just taking over my life the last year and 557 00:28:01,920 --> 00:28:03,840 Speaker 1: a half and it's not going anywhere. And I feel, 558 00:28:03,920 --> 00:28:05,280 Speaker 1: you know, I used to joke about it's not a 559 00:28:05,320 --> 00:28:07,399 Speaker 1: joke anymore. I'm like a class trader. Right. I went 560 00:28:07,440 --> 00:28:09,320 Speaker 1: to Yale, I worked for the New York Times. But 561 00:28:09,440 --> 00:28:12,440 Speaker 1: I've been you know, I've been sort of pushed into 562 00:28:12,800 --> 00:28:14,639 Speaker 1: a position where a lot of people who I used 563 00:28:14,680 --> 00:28:17,600 Speaker 1: to know won't talk to me anymore. But you know, 564 00:28:17,680 --> 00:28:19,600 Speaker 1: the data is what it is, and you're going to 565 00:28:19,720 --> 00:28:22,280 Speaker 1: have to keep telling people whether they like it or not. 566 00:28:23,040 --> 00:28:26,720 Speaker 1: Check out Alex's substack, everybody, Alex Barrenson. Subscribe to it 567 00:28:26,840 --> 00:28:30,240 Speaker 1: and you can pick up unreported truths about COVID on Amazon. 568 00:28:30,600 --> 00:28:34,200 Speaker 1: Get them while you can, Alex, we'd both really appreciate 569 00:28:34,240 --> 00:28:36,520 Speaker 1: your work on this. Ale Yeah, we've been having you on, 570 00:28:36,560 --> 00:28:38,280 Speaker 1: as you know, Clay and I have both had you 571 00:28:38,320 --> 00:28:40,200 Speaker 1: on now for over a year to tell the audience 572 00:28:40,200 --> 00:28:42,520 Speaker 1: as much of the truth as we can actually get 573 00:28:42,520 --> 00:28:44,720 Speaker 1: out there. So thank you for your work. It's always 574 00:28:44,720 --> 00:28:47,640 Speaker 1: a pleasure. Gay. Thanks all right, Clay, we're gonna get 575 00:28:47,680 --> 00:28:50,000 Speaker 1: into some calls here in just a moment. People got 576 00:28:50,000 --> 00:28:51,680 Speaker 1: a lot of thoughts on that. I know we spend 577 00:28:51,680 --> 00:28:53,280 Speaker 1: extra time that, but you know what, Clay, this is. 578 00:28:53,680 --> 00:28:55,520 Speaker 1: You know, the big challenge for for a lot of 579 00:28:55,520 --> 00:28:57,480 Speaker 1: folks is I think on this issue when they try 580 00:28:57,520 --> 00:29:00,920 Speaker 1: to get information, not enough time for nuance. And I 581 00:29:00,960 --> 00:29:02,920 Speaker 1: feel like here when we got a deep dive, we 582 00:29:03,000 --> 00:29:06,000 Speaker 1: got to just hop on in do that, Cannonball. One 583 00:29:06,000 --> 00:29:07,560 Speaker 1: of the reasons that I wanted to take the show, 584 00:29:07,560 --> 00:29:09,280 Speaker 1: and I know this is true with you as well, Bluck, 585 00:29:09,320 --> 00:29:11,520 Speaker 1: we both had successful shows. We were doing is to 586 00:29:11,560 --> 00:29:15,959 Speaker 1: be able to share factual data that is being covered up, 587 00:29:16,080 --> 00:29:19,160 Speaker 1: frankly by the mainstream media. You can't hear that conversation 588 00:29:19,160 --> 00:29:20,800 Speaker 1: anywhere else. You may not even be able to share 589 00:29:20,840 --> 00:29:23,720 Speaker 1: it on Facebook or Twitter or Instagram or anywhere else. 590 00:29:24,200 --> 00:29:27,320 Speaker 1: Live radio in this era, what I would call of 591 00:29:27,440 --> 00:29:31,400 Speaker 1: unprecedented censorship, is one of the last direct ways you 592 00:29:31,440 --> 00:29:35,360 Speaker 1: can still talk to the masses. And that's why I 593 00:29:35,400 --> 00:29:37,640 Speaker 1: think it's so wildly important. We'll get to some of 594 00:29:37,640 --> 00:29:39,480 Speaker 1: your calls in just a moment. Eight hundred two two 595 00:29:39,520 --> 00:29:43,640 Speaker 1: two eight eight two. There is a rapidly rising cybercrime 596 00:29:43,720 --> 00:29:45,800 Speaker 1: out there the clan I want you to be really 597 00:29:45,840 --> 00:29:49,520 Speaker 1: aware of. It's called home title theft, and it's very easy. 598 00:29:49,720 --> 00:29:52,200 Speaker 1: Here's what happens. The bad guys they find your homes 599 00:29:52,200 --> 00:29:55,920 Speaker 1: title because it exists online, and then they just forge 600 00:29:55,920 --> 00:29:58,400 Speaker 1: your stick that you're have a quick claim deed made up, 601 00:29:58,680 --> 00:30:01,200 Speaker 1: and then they make it seemed like you sold your 602 00:30:01,240 --> 00:30:03,920 Speaker 1: home to them. Then they take out loans against that 603 00:30:04,000 --> 00:30:07,720 Speaker 1: home and you find out about this when the cyber criminals, 604 00:30:07,720 --> 00:30:10,440 Speaker 1: after they've had maybe ninety days of getting checks in 605 00:30:10,480 --> 00:30:13,000 Speaker 1: the mail, you get stuck with the payments or even 606 00:30:13,080 --> 00:30:16,360 Speaker 1: a foreclosure notice. Clay. That's why we want them to 607 00:30:16,360 --> 00:30:19,480 Speaker 1: protect themselves with Home Title Lock. That's why we have 608 00:30:19,600 --> 00:30:22,560 Speaker 1: Home Title Walk. It is the instant. Because the instant 609 00:30:22,600 --> 00:30:26,880 Speaker 1: Home Title Walk detects anybody tampering with our homes titles, 610 00:30:27,120 --> 00:30:28,960 Speaker 1: they can help shut it down. And we want to 611 00:30:28,960 --> 00:30:32,040 Speaker 1: get you protected today as well. Go to home titlewalk 612 00:30:32,160 --> 00:30:35,440 Speaker 1: dot com and register your address to see if you're 613 00:30:35,480 --> 00:30:39,400 Speaker 1: already a victim and enter radio for thirty days of 614 00:30:39,520 --> 00:30:44,160 Speaker 1: free protection. That's promo code radio at home title lock 615 00:30:44,360 --> 00:30:53,960 Speaker 1: dot Com. Walking back in Clay Travis buck Sexton Show. 616 00:30:54,000 --> 00:30:56,640 Speaker 1: Want to encourage you to go subscribe to the Clay 617 00:30:56,680 --> 00:31:00,120 Speaker 1: Travis and buck Sexton Podcast. Give us some five star reviews. 618 00:31:00,120 --> 00:31:03,960 Speaker 1: Will read the funniest, the most entertaining out there. As 619 00:31:04,000 --> 00:31:06,880 Speaker 1: we are breaking down Jim Crow two point zero in 620 00:31:06,960 --> 00:31:08,800 Speaker 1: quotation marks. We should put that because that is what 621 00:31:08,880 --> 00:31:11,640 Speaker 1: Jim Biden joke. Jim Biden, that's what Joe Biden is 622 00:31:11,680 --> 00:31:15,280 Speaker 1: calling the ridiculous scenarios that the Democrats are trying to 623 00:31:15,320 --> 00:31:18,680 Speaker 1: spend right now. And here is my theory, Buck, I 624 00:31:18,800 --> 00:31:21,560 Speaker 1: just and I understand your argument of don't presume that 625 00:31:21,600 --> 00:31:24,760 Speaker 1: they're even capable of playing chess right now. I think 626 00:31:24,760 --> 00:31:27,920 Speaker 1: they are trying to distract the Democratic Party is Right now, 627 00:31:28,280 --> 00:31:32,920 Speaker 1: they're in the throes of a major budgetary battle. Bernie 628 00:31:32,960 --> 00:31:36,280 Speaker 1: Sanders wants a six trillion dollar budget, the likes of 629 00:31:36,280 --> 00:31:40,040 Speaker 1: which we've never seen before. Moderates in the Senate are 630 00:31:40,080 --> 00:31:42,320 Speaker 1: saying they might only go for two and a half 631 00:31:42,440 --> 00:31:47,160 Speaker 1: or three trillion. That's a massive difference. And as all 632 00:31:47,160 --> 00:31:50,320 Speaker 1: of this is taking place right now in DC, suddenly 633 00:31:50,400 --> 00:31:54,240 Speaker 1: Biden travels out of DC to go to Philadelphia to 634 00:31:54,280 --> 00:31:58,280 Speaker 1: give a speech uniting the overall Democratic game plan of 635 00:31:58,360 --> 00:32:01,640 Speaker 1: everything is racist, to try to distract from what is 636 00:32:01,680 --> 00:32:07,960 Speaker 1: becoming a pretty readily apparent democratic civil war over budgetary issues, 637 00:32:08,120 --> 00:32:14,840 Speaker 1: over crime, over really all of Joe Biden's theoretical game plan. 638 00:32:15,000 --> 00:32:19,240 Speaker 1: Here there are massive battles, not external but internal in 639 00:32:19,240 --> 00:32:21,640 Speaker 1: the Democratic Party, and I think they're trying to rally 640 00:32:21,680 --> 00:32:24,719 Speaker 1: the troops by just once more saying, hey, remember remember 641 00:32:24,720 --> 00:32:27,880 Speaker 1: how racist the Republicans are. And I hope that nobody's 642 00:32:27,920 --> 00:32:29,960 Speaker 1: noticing what's going on with the budget right now. But 643 00:32:30,160 --> 00:32:33,120 Speaker 1: the budget is gonna be something we only know about 644 00:32:33,240 --> 00:32:35,080 Speaker 1: if the media covers it, and they're not going to 645 00:32:35,160 --> 00:32:37,520 Speaker 1: cover it in a way that makes it seem like 646 00:32:37,560 --> 00:32:39,800 Speaker 1: there's some important I mean, you're right, there's there's there. 647 00:32:39,800 --> 00:32:42,280 Speaker 1: It's a mess, right What you're saying is true, But 648 00:32:42,360 --> 00:32:45,200 Speaker 1: I'm trying to see how it is that. I mean, 649 00:32:45,200 --> 00:32:46,880 Speaker 1: what you're saying about the budget being a back and 650 00:32:46,920 --> 00:32:49,440 Speaker 1: forth between Democrats, but they know the media is never 651 00:32:49,480 --> 00:32:51,720 Speaker 1: gonna make that look like it's, as you said, a 652 00:32:51,760 --> 00:32:55,600 Speaker 1: civil war or anything else. So maybe there's just disjointed. 653 00:32:56,160 --> 00:33:00,320 Speaker 1: There's just disjointed messaging right now because the Democrats are 654 00:33:00,320 --> 00:33:03,000 Speaker 1: flailing because the first six months of the Biden administration 655 00:33:03,120 --> 00:33:05,520 Speaker 1: is a mess. I mean, that's that's the that's an 656 00:33:05,560 --> 00:33:09,120 Speaker 1: alternative explanation. And as you and I both agree, they 657 00:33:09,240 --> 00:33:12,400 Speaker 1: view Republicans are racist as the one that is the 658 00:33:12,400 --> 00:33:15,200 Speaker 1: one great uniter, and that then that then translates into 659 00:33:15,280 --> 00:33:18,400 Speaker 1: voting rights issues, into crime issues, everything else. That's what 660 00:33:18,480 --> 00:33:21,280 Speaker 1: they alway higher game plan. And it's going to get 661 00:33:21,280 --> 00:33:24,480 Speaker 1: even worse with Kamala Harris being the nominee, because if 662 00:33:24,480 --> 00:33:27,640 Speaker 1: she's not the nominee. Guess what she's gonna be able 663 00:33:27,640 --> 00:33:30,120 Speaker 1: to say that the Democratic Party is racist in sexist 664 00:33:30,120 --> 00:33:32,960 Speaker 1: because they didn't pick a black woman to be their nominee. 665 00:33:33,000 --> 00:33:35,480 Speaker 1: This is assuming that they can't Weekend at Bernie style 666 00:33:35,600 --> 00:33:38,120 Speaker 1: drag Joe Biden. I'm thinking out as the nominee again. 667 00:33:38,200 --> 00:33:40,480 Speaker 1: I'm thinking it's gonna be Weekend at Bernie's Part three, 668 00:33:40,760 --> 00:33:43,400 Speaker 1: Part two, or I think they already made it too. 669 00:33:43,560 --> 00:33:46,080 Speaker 1: Did they make it part I think they made a sequel, 670 00:33:46,160 --> 00:33:48,520 Speaker 1: which so this is part three to four or whatever. Yeah, 671 00:33:48,520 --> 00:33:50,760 Speaker 1: if you saw the original, there should have been no sequel. 672 00:33:51,040 --> 00:33:54,120 Speaker 1: But no, I do believe that they're they're so worried 673 00:33:54,160 --> 00:33:57,600 Speaker 1: at this point about Kamala's look. They used to talk 674 00:33:57,600 --> 00:34:00,600 Speaker 1: about the lack of likability with Hillary Clinton, which but 675 00:34:00,680 --> 00:34:03,320 Speaker 1: her whole thing was that it was extreme competence and 676 00:34:03,400 --> 00:34:05,680 Speaker 1: executive which I know was you know, nonsense, But the 677 00:34:05,720 --> 00:34:08,480 Speaker 1: point is that was the story. That was the narrative 678 00:34:08,920 --> 00:34:13,600 Speaker 1: with Kamala. You've got doesn't seem particularly likable on a 679 00:34:13,680 --> 00:34:17,640 Speaker 1: political level, doesn't have that charisma, those retail political skills, 680 00:34:18,640 --> 00:34:21,759 Speaker 1: and exactly what has gone well that's been in her 681 00:34:21,760 --> 00:34:23,959 Speaker 1: portfolio so far? I mean, we don't even talk about 682 00:34:24,000 --> 00:34:26,080 Speaker 1: the border anymore, which is the worst it's ever been. 683 00:34:26,160 --> 00:34:28,520 Speaker 1: And that was her issue until she realized this is 684 00:34:28,520 --> 00:34:31,440 Speaker 1: a mess and I can't fix it. She's also awful 685 00:34:31,520 --> 00:34:35,360 Speaker 1: on her feet, which is a massive story, and I 686 00:34:35,440 --> 00:34:37,839 Speaker 1: still I understand people are like, oh, you can't talk 687 00:34:37,880 --> 00:34:40,520 Speaker 1: about this. The fact that she was the side chick 688 00:34:40,800 --> 00:34:44,160 Speaker 1: of Willie Brown in San Francisco, that everybody just is 689 00:34:44,160 --> 00:34:47,640 Speaker 1: like not even talking about. I mean, how is that 690 00:34:47,800 --> 00:34:51,720 Speaker 1: she was the girlfriend of a married man? And everybody 691 00:34:51,800 --> 00:34:54,800 Speaker 1: just like, if she's gonna be the front facing candidate 692 00:34:55,200 --> 00:34:58,080 Speaker 1: in twenty twenty four, I mean, how is that not 693 00:34:58,280 --> 00:35:00,719 Speaker 1: a major story if the Democra are gonna try to 694 00:35:00,719 --> 00:35:02,279 Speaker 1: trot her out? I know, everybody's like, oh my god, 695 00:35:02,320 --> 00:35:04,760 Speaker 1: you can't say that. That's like a big part of 696 00:35:04,800 --> 00:35:08,000 Speaker 1: her resume in California. She was the girlfriend of a 697 00:35:08,040 --> 00:35:11,160 Speaker 1: married man. I think that's kind of significant. Now Trump, 698 00:35:11,200 --> 00:35:13,480 Speaker 1: maybe it may not be a great angle for Trump 699 00:35:13,520 --> 00:35:16,680 Speaker 1: to be playing, because not like his past history is 700 00:35:16,760 --> 00:35:20,640 Speaker 1: in his private life stellar necessarily, but I think that's 701 00:35:20,719 --> 00:35:22,800 Speaker 1: kind of a big deal. She's not good on her feet. 702 00:35:23,239 --> 00:35:26,000 Speaker 1: She had, you know, like has not had really a 703 00:35:26,120 --> 00:35:32,799 Speaker 1: very storied and accomplished career, and she managed in California 704 00:35:32,880 --> 00:35:36,439 Speaker 1: to initially rise to power by being the side chick 705 00:35:36,800 --> 00:35:39,319 Speaker 1: of the mayor. And it's like people won't even mention it, 706 00:35:39,520 --> 00:35:43,600 Speaker 1: Like to me, she's utterly incompetent. Well, Democrats certainly weren't 707 00:35:43,920 --> 00:35:46,880 Speaker 1: fond of her during the primary, which was obvious despite 708 00:35:46,920 --> 00:35:52,080 Speaker 1: her despite her saying it's clear I'm a top tier candidate, 709 00:35:52,120 --> 00:35:54,640 Speaker 1: which was not clear from the actual voters. I remember 710 00:35:54,640 --> 00:35:56,640 Speaker 1: she said that early on that Remember the Democrats had 711 00:35:56,640 --> 00:35:58,880 Speaker 1: those double debates that were going on too, you know, 712 00:35:58,880 --> 00:36:00,600 Speaker 1: one back to back, and she came out and said, 713 00:36:00,600 --> 00:36:02,840 Speaker 1: it's clear him a top candidate. She's a top candidate 714 00:36:02,840 --> 00:36:05,239 Speaker 1: in the green room of CNN, and she's a top 715 00:36:05,280 --> 00:36:07,120 Speaker 1: candidate if you were to pull the New York Times 716 00:36:07,200 --> 00:36:09,960 Speaker 1: editorial page, maybe, but for the rest I don't think so. 717 00:36:09,960 --> 00:36:14,200 Speaker 1: So I do believe Biden is probably going to be 718 00:36:14,239 --> 00:36:16,200 Speaker 1: the person they put forward by the looks. That's a 719 00:36:16,280 --> 00:36:19,680 Speaker 1: ways off. We should dive into how do we get 720 00:36:19,680 --> 00:36:24,080 Speaker 1: our freedom back? Now? How do we get rid of Fouciism? 721 00:36:24,160 --> 00:36:27,680 Speaker 1: The mask mandates. They want to put masks on kids 722 00:36:27,719 --> 00:36:30,359 Speaker 1: in the biggest school districts in America. That's what we're 723 00:36:30,400 --> 00:36:33,960 Speaker 1: being told. Los Angeles, New York City. Still mask Mania 724 00:36:34,040 --> 00:36:38,040 Speaker 1: running wild. Clay, We've got somebody who has been fearless 725 00:36:38,080 --> 00:36:39,880 Speaker 1: from the very beginning on this one joining us in 726 00:36:39,920 --> 00:36:42,160 Speaker 1: just a few minutes. Yeah, that's gonna be a lot 727 00:36:42,200 --> 00:36:44,839 Speaker 1: of fun because there's a lot to dive in. There 728 00:36:45,719 --> 00:36:47,560 Speaker 1: is his name, by the way, we should just go 729 00:36:47,600 --> 00:36:49,640 Speaker 1: ahead and say who it is. And he's been driving 730 00:36:49,680 --> 00:36:52,080 Speaker 1: people crazy by actually sharing facts. What do you know 731 00:36:52,640 --> 00:36:54,399 Speaker 1: that will be next coming up in just a moment 732 00:36:54,440 --> 00:36:56,880 Speaker 1: of the Clay Travis and Buck Sexton Show. Stay with us. 733 00:37:00,520 --> 00:37:03,840 Speaker 1: You're listening to Clay Travis and Buck Sexton on the 734 00:37:04,000 --> 00:37:05,440 Speaker 1: EIB Network.