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 --> 00:00:09,240 Speaker 1: Sexton Show podcast. We've gone backwards. COVID confusion snarls the 3 00:00:09,360 --> 00:00:12,200 Speaker 1: Biden White House. That is the headline up on NBC 4 00:00:12,320 --> 00:00:14,280 Speaker 1: News right now. Welcome back to Clay and Buck Show. 5 00:00:14,680 --> 00:00:16,720 Speaker 1: It's not just us telling you that they got big 6 00:00:16,760 --> 00:00:20,119 Speaker 1: problems here. The strategy doesn't make sense, it's contradictory. They're 7 00:00:20,120 --> 00:00:24,360 Speaker 1: falling apart. The narrative is in freefall. Others are starting 8 00:00:24,400 --> 00:00:26,920 Speaker 1: to notice it as well, even on the left, so 9 00:00:27,040 --> 00:00:30,320 Speaker 1: to speak. We've got our friend Alex Barrenson with us 10 00:00:30,360 --> 00:00:32,760 Speaker 1: right now to make sense of the latest data and numbers. 11 00:00:32,800 --> 00:00:34,680 Speaker 1: The man who is right, no matter how much they 12 00:00:34,720 --> 00:00:38,360 Speaker 1: claim otherwise, author of Pandemia, a great book you should 13 00:00:38,400 --> 00:00:40,839 Speaker 1: pick up and please subscribe to his substack. I'm a 14 00:00:40,920 --> 00:00:45,320 Speaker 1: subscriber as is Clay. Thanks so much for being here, Alex. 15 00:00:46,040 --> 00:00:48,760 Speaker 1: It's always a pleasure book. Okay. So Clay, just read 16 00:00:48,800 --> 00:00:51,040 Speaker 1: something out right before you came on to add into 17 00:00:51,080 --> 00:00:54,920 Speaker 1: all of this, which was all time high in nationwide 18 00:00:54,920 --> 00:00:58,760 Speaker 1: hospitalizations for COVID. Now we know that the hospitalization data 19 00:00:59,040 --> 00:01:01,520 Speaker 1: is is funky and has to be looked at. To 20 00:01:01,560 --> 00:01:04,160 Speaker 1: begin with, that's been talked about openly recently, but the 21 00:01:04,160 --> 00:01:07,000 Speaker 1: fact that it's an all time high is also a 22 00:01:07,000 --> 00:01:10,240 Speaker 1: big indicator of something. What the heck is going on? Well, 23 00:01:10,240 --> 00:01:14,280 Speaker 1: it's we are It is a very confusing momentum. There 24 00:01:14,440 --> 00:01:18,480 Speaker 1: is an enormous amount of omicron out there, you know 25 00:01:18,600 --> 00:01:24,720 Speaker 1: it is. It is not clear how understated the testing 26 00:01:24,840 --> 00:01:27,960 Speaker 1: is right now, but it's massively understated. So one place 27 00:01:27,959 --> 00:01:31,240 Speaker 1: you can look is actually wastewater. So I mean not 28 00:01:31,319 --> 00:01:34,319 Speaker 1: to be too you know, graphic about this, but you know, 29 00:01:34,440 --> 00:01:38,280 Speaker 1: COVID is found in wastewater, and the amount of it 30 00:01:37,920 --> 00:01:41,560 Speaker 1: is rises as more and more people get infected. And 31 00:01:41,959 --> 00:01:44,720 Speaker 1: one city that looks at this, or one region state 32 00:01:44,760 --> 00:01:48,200 Speaker 1: that looks at this pretty hard, is Massachusetts, and the 33 00:01:48,280 --> 00:01:52,680 Speaker 1: Massachusetts wastewater data is off the charts, I mean, it is, 34 00:01:52,800 --> 00:01:55,520 Speaker 1: it is. It is incredible how many people are infected 35 00:01:55,560 --> 00:01:59,200 Speaker 1: with omicron right now, and that makes the hostilization data 36 00:01:59,320 --> 00:02:03,200 Speaker 1: really to figure out in some ways, because so many 37 00:02:03,240 --> 00:02:07,960 Speaker 1: people are are getting incidental diagnosies. Um, if there were, 38 00:02:08,120 --> 00:02:10,920 Speaker 1: if if if there were a really really serious problem 39 00:02:10,919 --> 00:02:14,200 Speaker 1: with amicron, you'd see the hospitals being overrun, not just 40 00:02:14,240 --> 00:02:16,640 Speaker 1: the COVID numbers going up, but the hospitals as a whole, 41 00:02:17,000 --> 00:02:19,640 Speaker 1: and we're not seeing that. Right. What we're seeing is 42 00:02:19,639 --> 00:02:22,400 Speaker 1: that they're staffing shortages in hospitals and that some hospitals 43 00:02:22,400 --> 00:02:25,720 Speaker 1: are under you know, certain temporary pressure. But we're not seeing, 44 00:02:26,000 --> 00:02:29,200 Speaker 1: you know, the idea that the hospitals are collapsing. So 45 00:02:29,200 --> 00:02:31,760 Speaker 1: so that's a good thing, right. It suggests that there's 46 00:02:31,800 --> 00:02:34,440 Speaker 1: a ton of amcron out there, but that but that 47 00:02:34,520 --> 00:02:38,120 Speaker 1: the system is still functioning. Um. But but there's other 48 00:02:38,240 --> 00:02:40,920 Speaker 1: data that you know that that that that's also confusing. 49 00:02:41,160 --> 00:02:44,639 Speaker 1: There's just a there is a lot right now. We're 50 00:02:44,720 --> 00:02:47,720 Speaker 1: kind of in the middle of this unprecedented surge, and 51 00:02:47,800 --> 00:02:49,360 Speaker 1: I think it's going to take a little while to 52 00:02:49,400 --> 00:02:53,440 Speaker 1: figure out where we wind up. Bunch that we need 53 00:02:53,440 --> 00:02:56,239 Speaker 1: to unpack. Alex, thanks for joining us, But I want 54 00:02:56,240 --> 00:02:59,359 Speaker 1: to start here. Did you see, I imagine you did 55 00:02:59,600 --> 00:03:03,079 Speaker 1: the fire iSER CEO come out and effectively say that 56 00:03:03,120 --> 00:03:06,160 Speaker 1: there was no benefit whatsoever to the first and the 57 00:03:06,200 --> 00:03:11,240 Speaker 1: second shot of the COVID vaccine against omicron. I think 58 00:03:11,280 --> 00:03:15,720 Speaker 1: his quote was limited, if any, if any effectation against it. 59 00:03:15,960 --> 00:03:18,400 Speaker 1: I did, and in fact I wrote a substake about this, 60 00:03:18,480 --> 00:03:22,160 Speaker 1: which I published this morning because it's fascinating what he said. Okay, 61 00:03:22,320 --> 00:03:25,600 Speaker 1: he actually said even more than that. He said that 62 00:03:25,600 --> 00:03:30,240 Speaker 1: that protection against the hospitalizations and the severe disease was 63 00:03:30,320 --> 00:03:36,600 Speaker 1: quote unquote reasonable right now if you'd had a third dose. Yes, okay, 64 00:03:36,760 --> 00:03:40,040 Speaker 1: So he's not saying he's not saying it's effective against 65 00:03:40,120 --> 00:03:44,160 Speaker 1: hospitalizations and severe disease if you've had a third dose. 66 00:03:44,320 --> 00:03:49,680 Speaker 1: He's saying it's reasonable right now. And then simultaneously, this 67 00:03:49,760 --> 00:03:53,240 Speaker 1: is really fascinating, he said, we need to see about 68 00:03:53,240 --> 00:03:57,080 Speaker 1: a fourth dose. So what's he saying. He's saying, you 69 00:03:57,120 --> 00:03:59,240 Speaker 1: know what this is could be sent to protect you 70 00:03:59,360 --> 00:04:02,440 Speaker 1: at all, and I'm talking about a third those it's 71 00:04:02,480 --> 00:04:06,920 Speaker 1: probably not going to protect you for very longer. Do 72 00:04:07,080 --> 00:04:09,600 Speaker 1: we lose Alex there? Oh? No, I think we might 73 00:04:09,640 --> 00:04:11,600 Speaker 1: have lost them there for a minute. Where is this? 74 00:04:11,720 --> 00:04:14,600 Speaker 1: Is this some kind of Fouci conspiracy? Are is he 75 00:04:14,680 --> 00:04:16,880 Speaker 1: pulling them off the air? Are we gonna have to 76 00:04:16,960 --> 00:04:19,120 Speaker 1: quiz the FBI, like Ted Cruise dead to find out 77 00:04:19,160 --> 00:04:21,640 Speaker 1: whether they were involved in knocking our boy Alex off 78 00:04:21,680 --> 00:04:23,840 Speaker 1: the interview in the middle, this is what happens when 79 00:04:23,880 --> 00:04:27,800 Speaker 1: you question the science claim side have been fiser. He's 80 00:04:27,920 --> 00:04:31,000 Speaker 1: he's he's laying out the fiser vaccine from the CEO. 81 00:04:31,560 --> 00:04:33,880 Speaker 1: And next thing, you know, we lose Alex. Uh and 82 00:04:33,880 --> 00:04:35,760 Speaker 1: and by the way, we should reiterate for those people 83 00:04:35,760 --> 00:04:40,719 Speaker 1: who were out there, new COVID hospitalization record has been set. 84 00:04:41,040 --> 00:04:43,520 Speaker 1: We'll get Alex back in a minute. Uh. You know 85 00:04:43,600 --> 00:04:45,600 Speaker 1: that they're running scared buck because I talked to you 86 00:04:45,640 --> 00:04:49,040 Speaker 1: about this off air, CNN reached out to me. I 87 00:04:49,080 --> 00:04:51,120 Speaker 1: think we got Alex back. CNN reached out to fact 88 00:04:51,200 --> 00:04:53,120 Speaker 1: check some of my COVID. You can tell CNN they 89 00:04:53,120 --> 00:04:55,120 Speaker 1: could reach out to me on your behalf and I 90 00:04:55,200 --> 00:04:57,880 Speaker 1: have one finger to extend in their direction. But Alex, 91 00:04:57,960 --> 00:05:01,840 Speaker 1: what's going on? So so the fives you know, and 92 00:05:01,880 --> 00:05:05,320 Speaker 1: I don't know where we got cut off. He's saying 93 00:05:05,839 --> 00:05:08,480 Speaker 1: even a third dose doesn't work very well. Two doses 94 00:05:08,520 --> 00:05:10,640 Speaker 1: doesn't work at all. But I'm not going to promise 95 00:05:10,680 --> 00:05:12,880 Speaker 1: you that you should get a fourth dose. Now, why 96 00:05:12,920 --> 00:05:16,040 Speaker 1: on earth would he say that. My suspicion is he's 97 00:05:16,080 --> 00:05:19,839 Speaker 1: saying that because he's worried about the side effects of 98 00:05:19,880 --> 00:05:23,360 Speaker 1: a peated dosing. Because there's now data, good data out 99 00:05:23,400 --> 00:05:28,720 Speaker 1: of the UK showing that the my charditis l charditis charditis. 100 00:05:28,800 --> 00:05:33,200 Speaker 1: I'm sorry, side effects double with each dose in young 101 00:05:33,240 --> 00:05:37,680 Speaker 1: men and um. You know, if that continues at some point, 102 00:05:37,720 --> 00:05:40,360 Speaker 1: that's going to be obvious to everybody. There are other 103 00:05:40,440 --> 00:05:42,840 Speaker 1: side effects that we you know, that we're concerned with 104 00:05:43,200 --> 00:05:45,960 Speaker 1: that may also be dose dependent. And so if you're 105 00:05:46,040 --> 00:05:49,719 Speaker 1: Albert Borla, you made a lot of money selling the 106 00:05:49,800 --> 00:05:51,680 Speaker 1: first and second dose. You've made a lot of money 107 00:05:51,720 --> 00:05:54,240 Speaker 1: selling the third dose. Now you have a drug, an 108 00:05:54,279 --> 00:05:57,839 Speaker 1: anti viral, that seems to work pretty well, and you 109 00:05:57,960 --> 00:06:01,680 Speaker 1: have a straining that seems less dangerous. So what you 110 00:06:01,760 --> 00:06:03,680 Speaker 1: might want to do at this moment is trying to 111 00:06:03,720 --> 00:06:07,559 Speaker 1: pivot out of the vaccine business in a gentle way 112 00:06:07,880 --> 00:06:12,200 Speaker 1: so that you're you don't get gored by side effects. 113 00:06:11,000 --> 00:06:14,560 Speaker 1: And it wouldn't surprise me at all if you hear 114 00:06:14,600 --> 00:06:17,799 Speaker 1: a lot more out of this about this from Fiser 115 00:06:17,880 --> 00:06:21,080 Speaker 1: in the next few months. Now. The other vaccine companies 116 00:06:21,120 --> 00:06:23,560 Speaker 1: are all in on vaccines. They don't have any other products, 117 00:06:23,560 --> 00:06:26,359 Speaker 1: but fis lots of the problems we're speaking to. Alex Barnson, 118 00:06:26,440 --> 00:06:29,200 Speaker 1: author of Pandemia, recommend you get this book while you can, 119 00:06:29,279 --> 00:06:31,640 Speaker 1: before they tell you can't read it might ban it 120 00:06:31,760 --> 00:06:35,440 Speaker 1: for being too accurate. Alex the data right now, and 121 00:06:35,480 --> 00:06:37,280 Speaker 1: we've been telling everybody you've been on with us. We 122 00:06:37,279 --> 00:06:39,279 Speaker 1: were talking in July, you would say things, quite honestly, 123 00:06:39,279 --> 00:06:42,200 Speaker 1: I would say, might get that one danged on Facebook, 124 00:06:42,240 --> 00:06:44,719 Speaker 1: you know, you'd say the vaccines don't work very well. 125 00:06:45,040 --> 00:06:47,080 Speaker 1: And at that point there were very few people willing 126 00:06:47,080 --> 00:06:48,760 Speaker 1: to say that. And people can go back and check 127 00:06:48,760 --> 00:06:50,520 Speaker 1: our work on this from July and August you were 128 00:06:50,600 --> 00:06:52,800 Speaker 1: very open about this. Certainly in August you're very openly 129 00:06:52,839 --> 00:06:55,039 Speaker 1: open about this. And here we are now with the 130 00:06:55,080 --> 00:06:58,039 Speaker 1: Fiser CEO being like they don't work that well, you know, 131 00:06:58,160 --> 00:07:00,160 Speaker 1: like the sky of the sun's telling us what we've 132 00:07:00,200 --> 00:07:03,599 Speaker 1: known for a long time. But the data on hospitalization 133 00:07:04,160 --> 00:07:06,560 Speaker 1: the CDC right now is I can't have the exact number, 134 00:07:06,560 --> 00:07:10,160 Speaker 1: but it's effectively saying that if you are vaccinated, there's 135 00:07:10,200 --> 00:07:13,200 Speaker 1: almost no chance that you die from COVID and a 136 00:07:13,320 --> 00:07:16,760 Speaker 1: very very very small chance you're getting hospitalized. But that 137 00:07:16,800 --> 00:07:19,120 Speaker 1: doesn't seem to track with what we've seen in other places. 138 00:07:19,280 --> 00:07:22,960 Speaker 1: Are they playing games with full vaccination including booster versus 139 00:07:23,000 --> 00:07:26,960 Speaker 1: just the two shots, or know how effective against hospitalization 140 00:07:26,960 --> 00:07:31,120 Speaker 1: and death? Is this stuff really so far? That is 141 00:07:31,160 --> 00:07:33,680 Speaker 1: a great question and The answer is they are playing. 142 00:07:33,880 --> 00:07:36,600 Speaker 1: They are playing games, yes, the number one game they're playing. 143 00:07:36,720 --> 00:07:39,360 Speaker 1: So they make this adjustment to the data. They adjust 144 00:07:39,400 --> 00:07:42,480 Speaker 1: by the age of the vaccinated person. And their defense 145 00:07:42,600 --> 00:07:45,920 Speaker 1: against this is or the reason their statories doing this is, 146 00:07:46,480 --> 00:07:48,640 Speaker 1: we know, if you're older, you're more much, much more 147 00:07:48,680 --> 00:07:50,520 Speaker 1: likely to die from COVID, which is something, by the way, 148 00:07:50,560 --> 00:07:52,720 Speaker 1: that they completely bled about for the first year, but 149 00:07:52,840 --> 00:07:55,720 Speaker 1: now they admit, okay, you're much much more likely to 150 00:07:55,760 --> 00:07:58,040 Speaker 1: die from COVID if you're older. Being older and being 151 00:07:58,080 --> 00:08:05,120 Speaker 1: morbidly obese, those are your risk fact from death from COVID. 152 00:08:06,720 --> 00:08:11,360 Speaker 1: What is going on? The Fauci conspiracy continues Clay, Let's 153 00:08:11,600 --> 00:08:14,200 Speaker 1: let's let's go to break here buck, we'll bring him back. 154 00:08:14,240 --> 00:08:16,480 Speaker 1: Ask a couple more questions of our boy Alex Barns. 155 00:08:16,480 --> 00:08:18,400 Speaker 1: And assuming that he hasn't been put inside of a 156 00:08:18,440 --> 00:08:20,960 Speaker 1: hood and tossed him, he's getting get said to one 157 00:08:21,000 --> 00:08:23,920 Speaker 1: of those Australian camps you know where you maybe you 158 00:08:24,040 --> 00:08:26,480 Speaker 1: can't knock outside, you know. Fauci's going to arrange a 159 00:08:26,520 --> 00:08:29,160 Speaker 1: special flight for him to the outback in the in 160 00:08:29,200 --> 00:08:32,959 Speaker 1: the fenced in area for the COVID cases. All right, friends, look, 161 00:08:33,000 --> 00:08:34,960 Speaker 1: we got something important to talking about here. 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That's t the number two t dot org. 178 00:09:23,080 --> 00:09:29,000 Speaker 1: More with Alex Barnson in Just a Moment walking back 179 00:09:29,000 --> 00:09:31,760 Speaker 1: in Clay Travis buck Sexton show, I believe we have 180 00:09:32,440 --> 00:09:35,280 Speaker 1: with us right now Alex Berenson, unless doctor Fauci has 181 00:09:35,280 --> 00:09:37,120 Speaker 1: got him in the back of his car inside of 182 00:09:37,120 --> 00:09:39,680 Speaker 1: a hood driving as fast as he can towards a 183 00:09:40,520 --> 00:09:43,160 Speaker 1: off ramp into the ocean, Barrenson has the right to 184 00:09:43,280 --> 00:09:47,160 Speaker 1: remain silent. Alex. By the way, I should mention this, 185 00:09:48,120 --> 00:09:52,079 Speaker 1: your CIA is showing, yeah, I should mention this. By 186 00:09:52,120 --> 00:09:54,880 Speaker 1: the way, that Fiser clip Buck and I were talking 187 00:09:54,920 --> 00:09:58,280 Speaker 1: about this off air, the Fiser clip that, and we 188 00:09:58,320 --> 00:10:00,240 Speaker 1: may have talked about it on air two that I 189 00:10:00,240 --> 00:10:03,000 Speaker 1: mentioned where it said it offers limited protection if any. 190 00:10:03,040 --> 00:10:06,400 Speaker 1: They made a copyright claim, so the video is no 191 00:10:06,520 --> 00:10:08,840 Speaker 1: longer up on Twitter, Like I just went to go 192 00:10:08,960 --> 00:10:12,680 Speaker 1: check and see, and they have pulled the CEO's comments 193 00:10:12,720 --> 00:10:16,439 Speaker 1: that the vaccine provides limited protection if any. So, if 194 00:10:16,480 --> 00:10:19,800 Speaker 1: that's not shady, I don't know what is. So, I 195 00:10:20,240 --> 00:10:22,360 Speaker 1: you know, there's always so much to talk about it. 196 00:10:22,400 --> 00:10:24,880 Speaker 1: I think this is a really really crucial point because 197 00:10:25,080 --> 00:10:28,600 Speaker 1: you always see these charts being put out about how 198 00:10:28,640 --> 00:10:32,640 Speaker 1: protective the vaccine supposedly are, and you never see the 199 00:10:32,760 --> 00:10:37,320 Speaker 1: raw data. Okay, in the US, you cannot get a 200 00:10:37,480 --> 00:10:40,600 Speaker 1: raw number on how many vaccinated people have died in 201 00:10:40,640 --> 00:10:45,079 Speaker 1: the United States anymore, and that is a crazy, crazy fact. Okay, 202 00:10:45,120 --> 00:10:48,720 Speaker 1: you just the CDC and the state House authorities put 203 00:10:48,720 --> 00:10:51,240 Speaker 1: out these charts that seemed the show the vaccine they're 204 00:10:51,240 --> 00:10:53,880 Speaker 1: really protective. And what I'm telling you is they are 205 00:10:53,960 --> 00:10:58,439 Speaker 1: making an adjustment that makes that essentially untrue. Okay, what 206 00:10:58,480 --> 00:11:01,960 Speaker 1: they're doing if they are just my age and saying, well, 207 00:11:02,080 --> 00:11:05,120 Speaker 1: so many more people die, who are plots of vaccinated 208 00:11:05,120 --> 00:11:07,560 Speaker 1: people are dying, but they're all really old. But they're 209 00:11:07,559 --> 00:11:10,480 Speaker 1: not making a second adjustment that is even more important, 210 00:11:10,640 --> 00:11:13,200 Speaker 1: and that is adjusting for the health status of the 211 00:11:13,240 --> 00:11:16,760 Speaker 1: people who are or are not vaccinated. And what I 212 00:11:16,760 --> 00:11:18,920 Speaker 1: am telling you, and this is very clear from the 213 00:11:18,960 --> 00:11:21,280 Speaker 1: British data and places that are much that are more 214 00:11:21,280 --> 00:11:24,160 Speaker 1: honest about this, is that a lot of people who 215 00:11:24,200 --> 00:11:27,640 Speaker 1: are not vaccinated and dying are extremely old and they 216 00:11:27,679 --> 00:11:31,600 Speaker 1: don't get vaccinated because they can't they're in hospice or 217 00:11:31,640 --> 00:11:35,719 Speaker 1: there or they're near hospice and they cannot be vaccinated. 218 00:11:36,000 --> 00:11:40,479 Speaker 1: And those people bump up the death numbers of the unvaccinated. 219 00:11:40,760 --> 00:11:42,959 Speaker 1: And that is the number one lie. That's the number 220 00:11:42,960 --> 00:11:45,719 Speaker 1: one way they lie with the data. And Alex keep 221 00:11:45,760 --> 00:11:49,080 Speaker 1: saying this because it's so crucial and no one else 222 00:11:49,080 --> 00:11:52,719 Speaker 1: will acknowledge it. Alex. Yesterday, I'm sure you read it. 223 00:11:52,760 --> 00:11:56,160 Speaker 1: The Wall Street Journal had an incredible editorial dealt with 224 00:11:56,200 --> 00:11:58,599 Speaker 1: whether the COVID vaccine mandate should be upheld by the 225 00:11:58,640 --> 00:12:02,559 Speaker 1: Supreme Court. But very inside of that article was a paragraph, 226 00:12:02,600 --> 00:12:04,400 Speaker 1: and I know you've talked about this a little bit, 227 00:12:04,440 --> 00:12:09,000 Speaker 1: that there are preliminary studies that suggest that the vaccinated 228 00:12:09,360 --> 00:12:12,880 Speaker 1: are actually under more risk to get omicron than the 229 00:12:12,920 --> 00:12:16,360 Speaker 1: people who are unvaccinated. In other words, we may have 230 00:12:16,400 --> 00:12:20,199 Speaker 1: a pandemic of the vaccinated as opposed to a pandemic 231 00:12:20,360 --> 00:12:24,040 Speaker 1: of the unvaccinated. What do you think about that data? 232 00:12:24,120 --> 00:12:26,640 Speaker 1: Does it comport with what you had seen? And how 233 00:12:26,720 --> 00:12:30,400 Speaker 1: much legitimacy are the early numbers to be given from 234 00:12:30,400 --> 00:12:33,280 Speaker 1: your perspective? Yeah, no, I mean I don't how my 235 00:12:33,360 --> 00:12:35,480 Speaker 1: test two much. But I actually think that they the 236 00:12:35,480 --> 00:12:38,160 Speaker 1: two guys who wrote that probably read my hub fact 237 00:12:38,200 --> 00:12:42,360 Speaker 1: because yeah, the four papers they mentioned come out are 238 00:12:42,440 --> 00:12:44,720 Speaker 1: four papers that I mentioned in a sub stack article 239 00:12:44,840 --> 00:12:48,040 Speaker 1: last week. So there's data from Denmark and there's data 240 00:12:48,080 --> 00:12:51,400 Speaker 1: from the UK, and it all points the same way. Actually, 241 00:12:51,400 --> 00:12:53,360 Speaker 1: the Dantash stata is the worst. The Danish status is 242 00:12:53,360 --> 00:12:56,359 Speaker 1: that you're more than twice as likely to be infected 243 00:12:56,679 --> 00:13:00,640 Speaker 1: with omicron if you're vaccinated more than nine days prior. 244 00:13:01,040 --> 00:13:04,080 Speaker 1: So that's called negative efficacy. It means that the vaccine 245 00:13:04,160 --> 00:13:07,840 Speaker 1: is driving infection, Alex, how could that even theoretically be possible? 246 00:13:07,880 --> 00:13:09,760 Speaker 1: Just so we understand, like, how could I That just 247 00:13:09,800 --> 00:13:12,160 Speaker 1: feels like that defies believe. People are hearing that I'm 248 00:13:12,200 --> 00:13:15,320 Speaker 1: hearing and saying, wait a second. So the reason it's 249 00:13:15,360 --> 00:13:18,560 Speaker 1: possible is that the vaccine makes your body make a 250 00:13:18,640 --> 00:13:21,320 Speaker 1: version of the spike protein. But that version of the 251 00:13:21,320 --> 00:13:24,840 Speaker 1: spike protein is not the Omicron spike protein. The omicron 252 00:13:24,920 --> 00:13:28,560 Speaker 1: spike protein has mutated it and it looks a little 253 00:13:28,559 --> 00:13:32,400 Speaker 1: bit different. So what that may mean If so, then 254 00:13:32,440 --> 00:13:36,400 Speaker 1: your body gets exposed to omicron and it starts making 255 00:13:36,760 --> 00:13:40,360 Speaker 1: a lot of anybody's okay, a lot of different kinds 256 00:13:40,400 --> 00:13:43,640 Speaker 1: of anybody's that hook up to that spike protein. But 257 00:13:43,880 --> 00:13:48,160 Speaker 1: if they hook up in a way that doesn't exactly 258 00:13:48,240 --> 00:13:53,079 Speaker 1: fit exactly as well as as as anybody's would have 259 00:13:53,160 --> 00:13:57,040 Speaker 1: fit to the original spike protein, it can actually help 260 00:13:57,440 --> 00:14:02,280 Speaker 1: the spike protein enter your cells. Okay, the worst version 261 00:14:02,320 --> 00:14:05,920 Speaker 1: of that is called antibody dependent enhancement. And that can 262 00:14:06,000 --> 00:14:08,120 Speaker 1: mean that can mean that you're actually getting much more 263 00:14:08,160 --> 00:14:11,800 Speaker 1: serious disease. Okay, right now, we don't have evidence of that, 264 00:14:12,120 --> 00:14:16,000 Speaker 1: but we do have evidence that that there's some there's 265 00:14:16,040 --> 00:14:20,560 Speaker 1: some version of this happening where your protection against infection 266 00:14:20,680 --> 00:14:23,920 Speaker 1: is actually negative. This is not science fiction. This is 267 00:14:23,920 --> 00:14:31,400 Speaker 1: a real risk that was discussed months ago before it happens. So, 268 00:14:31,680 --> 00:14:32,920 Speaker 1: I mean, can we just say for a second claim, 269 00:14:32,920 --> 00:14:35,080 Speaker 1: I mean, imagine the implications of what that would mean. 270 00:14:35,400 --> 00:14:39,120 Speaker 1: A forced mass vaccination campaign that might have made might 271 00:14:39,320 --> 00:14:42,400 Speaker 1: and possibly we are you know, couching all this some 272 00:14:42,440 --> 00:14:45,600 Speaker 1: people more susceptible to infection, not necessarily severe disease, but 273 00:14:45,680 --> 00:14:49,760 Speaker 1: infection which we might not know about fully buck for years, 274 00:14:49,880 --> 00:14:52,920 Speaker 1: right because if this is true, it's going to be 275 00:14:53,000 --> 00:14:55,560 Speaker 1: something that they try to cover up to the best 276 00:14:55,560 --> 00:14:58,280 Speaker 1: of their ability for years and years to come, certainly 277 00:14:58,320 --> 00:15:01,000 Speaker 1: as long as Biden is in office. It's amazing to 278 00:15:01,080 --> 00:15:04,560 Speaker 1: watch all this continue to unfold and there's still not 279 00:15:04,640 --> 00:15:07,920 Speaker 1: really a particularly honest discussion about this. Alex, I want 280 00:15:07,920 --> 00:15:09,120 Speaker 1: to ask you. I know we've only got a couple 281 00:15:09,120 --> 00:15:11,320 Speaker 1: more minutes with you and having some comms issues here 282 00:15:11,360 --> 00:15:15,600 Speaker 1: on the line, but uh, you know, Fauci today was testifying, well, 283 00:15:15,680 --> 00:15:19,520 Speaker 1: Lenski was testifying. Faucci was literally pulling his mask up 284 00:15:19,520 --> 00:15:22,360 Speaker 1: and down, depending on whether he's answering or listening. Well, 285 00:15:22,440 --> 00:15:26,360 Speaker 1: Lenski is double masked up there, she's triple vexed and 286 00:15:26,520 --> 00:15:30,480 Speaker 1: double masked, and she's alone speaking to the Senate. I mean, 287 00:15:31,320 --> 00:15:33,960 Speaker 1: these people look like utter morons to anyone who can 288 00:15:34,040 --> 00:15:36,680 Speaker 1: think for themselves. And I'm seeing now that the CDC 289 00:15:36,920 --> 00:15:41,680 Speaker 1: is under serious consideration to mandate and ninety five masks, 290 00:15:41,880 --> 00:15:44,440 Speaker 1: which is crazy. And by the way, we know Germany 291 00:15:44,480 --> 00:15:46,640 Speaker 1: did it and it did nothing, But what the heck 292 00:15:46,720 --> 00:15:51,640 Speaker 1: is going on? Look, they're like, uh, inspector gadget. Now 293 00:15:51,680 --> 00:15:55,600 Speaker 1: they're just like slamming the control panel. It's all a cartoon. Okay. 294 00:15:55,760 --> 00:15:57,960 Speaker 1: I walk around in New York City and New York 295 00:15:58,000 --> 00:16:00,440 Speaker 1: State with no mask on anywhere, and piece is a 296 00:16:00,440 --> 00:16:03,040 Speaker 1: word to me. Okay, you go down to Florida. It's 297 00:16:03,080 --> 00:16:06,920 Speaker 1: over all we can hope is that AMACRM is, you know, 298 00:16:06,960 --> 00:16:09,760 Speaker 1: the people who aren't infected with it to develop sort 299 00:16:09,760 --> 00:16:12,600 Speaker 1: of long term immunity the future variants, whether or not 300 00:16:12,600 --> 00:16:16,160 Speaker 1: they've been vaccinated. Hopefully that will be the case. And 301 00:16:16,280 --> 00:16:19,000 Speaker 1: if that's the case, it doesn't matter what they say, 302 00:16:19,160 --> 00:16:23,160 Speaker 1: and especially if the vaccine companies advisor, which is the 303 00:16:23,200 --> 00:16:26,880 Speaker 1: most powerful of all, you know, are concerned enough about 304 00:16:26,920 --> 00:16:29,320 Speaker 1: sort of the risk of future shots that they don't 305 00:16:29,360 --> 00:16:32,320 Speaker 1: push them. This will all come to a crashing halt 306 00:16:32,400 --> 00:16:34,480 Speaker 1: in a matter of months. Now, where do we go 307 00:16:34,520 --> 00:16:36,720 Speaker 1: in the next month? That's the question I think a 308 00:16:36,720 --> 00:16:39,440 Speaker 1: lot of people have, Alex b Yeah, So so I 309 00:16:39,480 --> 00:16:41,760 Speaker 1: gave you the best case scenario. The worst case scenario 310 00:16:42,360 --> 00:16:45,200 Speaker 1: is that, you know, the vaccines actually do interfere with 311 00:16:45,440 --> 00:16:49,520 Speaker 1: development of natural immunity, and that politically, Biden and these 312 00:16:49,640 --> 00:16:51,880 Speaker 1: you know, these idiots in the public health authorities will 313 00:16:51,920 --> 00:16:55,120 Speaker 1: not let go. And so I don't know which way 314 00:16:55,160 --> 00:16:58,160 Speaker 1: we go. But um, you know, there definitely is an 315 00:16:58,200 --> 00:17:01,120 Speaker 1: optimistic scenario here where amacan is the end of this. 316 00:17:02,080 --> 00:17:04,399 Speaker 1: Let's certainly hope. So, Alex, where can people go to 317 00:17:04,560 --> 00:17:07,119 Speaker 1: continue to support your work? Read what you've been doing, 318 00:17:07,560 --> 00:17:09,639 Speaker 1: and we do encourage everybody go back. It's all on 319 00:17:09,720 --> 00:17:11,840 Speaker 1: clambuck dot com. You got transcripts. Go listen to what 320 00:17:11,880 --> 00:17:13,919 Speaker 1: Alex was saying back in at least August, if not 321 00:17:14,000 --> 00:17:16,800 Speaker 1: July about this. But Alex worshould folks go, Um, yeah, 322 00:17:16,880 --> 00:17:19,000 Speaker 1: so go to substack. You can sign up for free, 323 00:17:19,160 --> 00:17:21,520 Speaker 1: you can pay, but you basically can get the same product. 324 00:17:21,640 --> 00:17:23,919 Speaker 1: I'm not in this for money. I'm in this to 325 00:17:23,960 --> 00:17:25,960 Speaker 1: get as many people leading and getting to the truth 326 00:17:25,960 --> 00:17:29,640 Speaker 1: as possible. And Pandemia is available you know, on Amazon, 327 00:17:29,840 --> 00:17:33,080 Speaker 1: on PNN dot com. Uh. You know that the book 328 00:17:33,119 --> 00:17:35,840 Speaker 1: came out at the at the end of November. It 329 00:17:35,920 --> 00:17:38,080 Speaker 1: was the best seller, even though the only people who 330 00:17:38,080 --> 00:17:41,120 Speaker 1: would talk about it are you guys and Tucker and Laura. Um. 331 00:17:41,320 --> 00:17:43,760 Speaker 1: But you know, I do think the truth is getting 332 00:17:43,760 --> 00:17:45,280 Speaker 1: out there. I think there are a lot of people 333 00:17:45,280 --> 00:17:48,119 Speaker 1: out there who, you know, gotten sick after being vaccinated, 334 00:17:48,160 --> 00:17:50,320 Speaker 1: and I I have seen that family members get this and 335 00:17:50,440 --> 00:17:53,400 Speaker 1: it's pretty hard to you know, trust that the vaccines 336 00:17:53,480 --> 00:17:55,560 Speaker 1: work when you've seen for yourself that they don't work. 337 00:17:56,000 --> 00:17:59,879 Speaker 1: So yeah, substack or or the book is called Pandemia. 338 00:18:00,280 --> 00:18:04,000 Speaker 1: Outstanding stuff from Alex Berenson, thanks to him. As always, 339 00:18:04,000 --> 00:18:06,800 Speaker 1: cyber thieves are cleverer than ever before. One of their 340 00:18:06,800 --> 00:18:09,360 Speaker 1: new tricks sending it a text message is that let 341 00:18:09,400 --> 00:18:12,040 Speaker 1: you know your phone's been corrupted by bad emails received. 342 00:18:12,240 --> 00:18:14,080 Speaker 1: The only way to fix your phone is to click 343 00:18:14,160 --> 00:18:16,359 Speaker 1: on the link texted to you. Once you've done that, 344 00:18:16,680 --> 00:18:20,240 Speaker 1: they've deposited malware on your phone and can track all 345 00:18:20,240 --> 00:18:22,840 Speaker 1: of your purchase activity, emails, and more. It's important to 346 00:18:22,880 --> 00:18:26,080 Speaker 1: understand how cybercrime and identity theft are affecting our lives. 347 00:18:26,160 --> 00:18:29,280 Speaker 1: Every day we put information online one way or the other. 348 00:18:29,359 --> 00:18:33,760 Speaker 1: Good thing there's LifeLock. Their online systems monitor transactions into 349 00:18:33,800 --> 00:18:36,520 Speaker 1: the billions each week, looking for evidence your information is 350 00:18:36,560 --> 00:18:39,040 Speaker 1: being used illegally, and they will make sure that they 351 00:18:39,040 --> 00:18:40,919 Speaker 1: are in touch with you if you're a LifeLock member. 352 00:18:41,240 --> 00:18:44,120 Speaker 1: No one can prevent all identity theft or monitor all 353 00:18:44,160 --> 00:18:46,720 Speaker 1: transactions at all businesses, but you can help protect what 354 00:18:46,840 --> 00:18:49,920 Speaker 1: yours with lifelocked by Norton. Join now, say twenty five 355 00:18:49,960 --> 00:18:52,720 Speaker 1: percent off your first year by using promo code Clay 356 00:18:52,720 --> 00:18:55,200 Speaker 1: called one eight hundred LifeLock or head tolifelike dot com 357 00:18:55,200 --> 00:18:57,640 Speaker 1: and use promo code Clay for twenty five percent off. 358 00:19:01,560 --> 00:19:04,639 Speaker 1: In an email exchange with doctor Collins, you conspire and 359 00:19:04,680 --> 00:19:08,040 Speaker 1: I quote here directly from the email to create a 360 00:19:08,119 --> 00:19:13,960 Speaker 1: quick and devastating published takedown A three prominent epidemiologist from Harvard, 361 00:19:14,560 --> 00:19:19,040 Speaker 1: Oxford and Stanford. Apparently there's a lot of fringe epidemiologists 362 00:19:19,040 --> 00:19:23,520 Speaker 1: at Harvard, Oxford, and Stanford. A published takedown, though you know, 363 00:19:23,600 --> 00:19:27,399 Speaker 1: doesn't exactly conjure up the image of a dispassionate scientist. 364 00:19:27,880 --> 00:19:31,120 Speaker 1: Instead of engaging them on the merits, you and doctor 365 00:19:31,200 --> 00:19:33,600 Speaker 1: Collins sought to smear them as fringe and take them 366 00:19:33,640 --> 00:19:37,800 Speaker 1: down and not in journals in lay press. This is 367 00:19:37,840 --> 00:19:41,080 Speaker 1: not only anathetical to the scientific methothod, it's the eponymity 368 00:19:41,119 --> 00:19:44,800 Speaker 1: of chief politics and it's reprehensible, doctor fouching, Do you 369 00:19:44,840 --> 00:19:47,679 Speaker 1: really think it's appropriate to use your four hundred and 370 00:19:47,720 --> 00:19:51,040 Speaker 1: twenty thousand dollars salary to attack scientists that disagree with you? 371 00:19:53,160 --> 00:19:57,040 Speaker 1: Is there anything more satisfying that you can watch on 372 00:19:57,119 --> 00:20:01,960 Speaker 1: Capitol Health these days than Senator and Paul having a 373 00:20:02,000 --> 00:20:06,879 Speaker 1: go at doctor Fauci over just all the all the nonsense, dishonesty, 374 00:20:07,400 --> 00:20:12,879 Speaker 1: catastrophic policy decision making, authoritarianism. They're Senator Paul pushing him 375 00:20:12,920 --> 00:20:18,359 Speaker 1: on why would you, as a public sector bureaucrat, essentially 376 00:20:18,400 --> 00:20:23,920 Speaker 1: coordinate the undermining of other top scientific voices who disagree. 377 00:20:23,920 --> 00:20:25,600 Speaker 1: We all know the answer to it, but he should 378 00:20:25,600 --> 00:20:28,719 Speaker 1: make Fauci answer the question publicly so we all have 379 00:20:28,800 --> 00:20:30,760 Speaker 1: to hear it, and of course then Fauci did the 380 00:20:30,760 --> 00:20:34,080 Speaker 1: whole clay. You saw this right. People are mean to me. 381 00:20:34,880 --> 00:20:37,440 Speaker 1: There are threats against me, and it's like there are 382 00:20:37,440 --> 00:20:41,880 Speaker 1: threats against everybody that I know in conservative media all 383 00:20:41,960 --> 00:20:44,960 Speaker 1: the time. People have stalkers, they have crazy people sending 384 00:20:45,000 --> 00:20:47,760 Speaker 1: them things or whatever. That doesn't answer, and that's bad 385 00:20:47,800 --> 00:20:50,440 Speaker 1: and of course reprehensible. Nobody should do those things to anybody. 386 00:20:50,760 --> 00:20:53,520 Speaker 1: He doesn't answer the question though with Fauci, and I 387 00:20:53,560 --> 00:20:55,919 Speaker 1: think what was remarkable those when you brought up with 388 00:20:56,000 --> 00:20:58,919 Speaker 1: I think even Alex was like, wait they pulled the 389 00:20:59,040 --> 00:21:03,280 Speaker 1: video of the five or CEO. It takes a lot 390 00:21:03,760 --> 00:21:07,480 Speaker 1: for me to be stunned with the way that disinformation 391 00:21:07,560 --> 00:21:12,439 Speaker 1: and misinformation is spread regularly on social media. But do 392 00:21:12,520 --> 00:21:14,880 Speaker 1: we still have that clip? We have that clip, right, 393 00:21:14,960 --> 00:21:17,040 Speaker 1: Let's play it so people can actually hear it because 394 00:21:17,040 --> 00:21:19,200 Speaker 1: it's been pulled off of social media. Now if I'm 395 00:21:19,200 --> 00:21:21,280 Speaker 1: not mistaken, yeah it is. You can't watch it on 396 00:21:21,280 --> 00:21:24,080 Speaker 1: Twitter anymore and see this anymore? Waited an hour one 397 00:21:24,200 --> 00:21:26,720 Speaker 1: listen to this. Do we know that three the two 398 00:21:26,760 --> 00:21:29,720 Speaker 1: doses of the vaccine offer very limited protection in family 399 00:21:30,080 --> 00:21:34,399 Speaker 1: The three doses with a booster. They offer reasonable protection 400 00:21:34,680 --> 00:21:41,160 Speaker 1: against hospitalization and death and less protection against the infection. Now, 401 00:21:41,800 --> 00:21:44,440 Speaker 1: we are working on a new version of our vaccine, 402 00:21:44,480 --> 00:21:47,919 Speaker 1: the one point one that will cover only room as well, 403 00:21:48,080 --> 00:21:53,440 Speaker 1: and of course we are waiting to have the final results. 404 00:21:53,760 --> 00:21:58,639 Speaker 1: The vaccine will be ready in marks. So this is 405 00:21:58,800 --> 00:22:00,720 Speaker 1: staggering to me. So let me just kind of lay 406 00:22:00,800 --> 00:22:03,040 Speaker 1: out what exactly is going on here for people who 407 00:22:03,119 --> 00:22:07,080 Speaker 1: are listening. We just played that clip which is fisor CEO. 408 00:22:07,920 --> 00:22:11,040 Speaker 1: We sent that clip. Buck and I go through and 409 00:22:11,040 --> 00:22:12,920 Speaker 1: look at a lot of different audio and we send 410 00:22:12,960 --> 00:22:15,840 Speaker 1: it and our crew does a fantastic job grabbing audio 411 00:22:16,640 --> 00:22:21,320 Speaker 1: we sent in that clip. And since that clip started 412 00:22:21,359 --> 00:22:24,800 Speaker 1: to go viral, the Fiser people, I'm assuming it's the 413 00:22:24,880 --> 00:22:27,679 Speaker 1: Visor people because they would theoretically have the copyright to 414 00:22:28,080 --> 00:22:32,719 Speaker 1: that clip that we played. They went to Twitter and 415 00:22:32,760 --> 00:22:36,520 Speaker 1: they made a copyright claim and Twitter has pulled that 416 00:22:36,680 --> 00:22:41,120 Speaker 1: video that you just heard off of all social media platforms. Now, 417 00:22:41,119 --> 00:22:44,960 Speaker 1: why would this be going on, Well, I think because 418 00:22:45,359 --> 00:22:51,120 Speaker 1: they don't want Fiser CEO admitting that the vaccine, which 419 00:22:51,160 --> 00:22:54,239 Speaker 1: currently is a part of the vaccine mandate before the 420 00:22:54,280 --> 00:22:58,640 Speaker 1: Supreme Court, that there is in his own words, very 421 00:22:58,760 --> 00:23:04,639 Speaker 1: limited if any protection that is offered for for that 422 00:23:04,800 --> 00:23:08,639 Speaker 1: vaccine for the first two doses, And that flies directly 423 00:23:08,680 --> 00:23:12,199 Speaker 1: in the face of the Biden administration narrative, buck the 424 00:23:12,280 --> 00:23:16,320 Speaker 1: one they just argued Friday at the Supreme Court, which is, Oh, 425 00:23:16,400 --> 00:23:20,720 Speaker 1: if everybody was vaccinated, then we wouldn't have these issues 426 00:23:20,760 --> 00:23:23,640 Speaker 1: with COVID. Let me hit you the data again. Ninety 427 00:23:23,680 --> 00:23:27,840 Speaker 1: five percent of people sixty five and older have gotten 428 00:23:27,880 --> 00:23:32,560 Speaker 1: at least one COVID shot. Eighty six percent of people 429 00:23:33,000 --> 00:23:36,920 Speaker 1: eighteen and over have gotten at least one COVID shot. 430 00:23:36,960 --> 00:23:40,080 Speaker 1: That's according to New York Times data. So if that 431 00:23:40,200 --> 00:23:44,040 Speaker 1: data is accurate, then which there's no reason to believe 432 00:23:44,080 --> 00:23:46,720 Speaker 1: it isn't How in the world. The question I think 433 00:23:46,720 --> 00:23:48,879 Speaker 1: that a lot of people follow there is wait a minute, 434 00:23:49,240 --> 00:23:53,080 Speaker 1: if these massive vaccine rates have occurred and we're still 435 00:23:53,119 --> 00:23:58,480 Speaker 1: setting all time hospitalization COVID records, how is that possible. 436 00:23:58,800 --> 00:24:02,800 Speaker 1: There's a disconnect. There's also the reality here that while 437 00:24:02,800 --> 00:24:06,280 Speaker 1: we're telling you what's actually happening, what the data is, 438 00:24:06,760 --> 00:24:09,520 Speaker 1: and there are some who are recognizing that this just 439 00:24:09,880 --> 00:24:11,600 Speaker 1: if you're going to live in the real world, the 440 00:24:11,640 --> 00:24:16,000 Speaker 1: fauciite narrative is essentially in collapse. Right, That's what we've 441 00:24:16,000 --> 00:24:18,080 Speaker 1: been told is and true, But there are still people 442 00:24:18,119 --> 00:24:20,879 Speaker 1: that realize, for either the purposes of ratings or politics 443 00:24:21,000 --> 00:24:25,119 Speaker 1: or both, it's very useful to terrify people. This was 444 00:24:25,200 --> 00:24:29,320 Speaker 1: on NBC Nightly News. Clay I sent this into our 445 00:24:29,359 --> 00:24:33,080 Speaker 1: team last night. It is studying. Listen to how they 446 00:24:33,359 --> 00:24:38,879 Speaker 1: explain what's going on with kids and COVID. It's something 447 00:24:38,960 --> 00:24:40,960 Speaker 1: that I'm telling you. When you hear it, you're gonna 448 00:24:41,000 --> 00:24:43,479 Speaker 1: say it's like they don't read the news. Over at 449 00:24:43,560 --> 00:24:47,400 Speaker 1: NBC News, Good Evening. The numbers remain staggering tonight, stretching 450 00:24:47,400 --> 00:24:50,760 Speaker 1: our patients and our capacity to fix all that COVID 451 00:24:50,840 --> 00:24:54,320 Speaker 1: has broken. From the millions forced to isolated home to 452 00:24:54,400 --> 00:24:58,600 Speaker 1: the emergency rooms and ICUs desperately short on staff but 453 00:24:58,800 --> 00:25:02,080 Speaker 1: filled with a sick and the very young. We've learned 454 00:25:02,080 --> 00:25:04,560 Speaker 1: that over the last week, more than five hundred eighty 455 00:25:04,600 --> 00:25:08,560 Speaker 1: thousand child COVID cases were recorded, tripling the number of 456 00:25:08,600 --> 00:25:14,560 Speaker 1: cases two weeks prior. COVID cases in children are not 457 00:25:14,840 --> 00:25:19,359 Speaker 1: serious ninety nine point what seven point eight percent of 458 00:25:19,400 --> 00:25:22,080 Speaker 1: the time. I think even higher, probably ninety nine point 459 00:25:22,160 --> 00:25:25,159 Speaker 1: nine nine nine. I mean, the real CDC data for 460 00:25:25,200 --> 00:25:27,399 Speaker 1: twelve and under. Forget about what the idiots on the 461 00:25:27,480 --> 00:25:30,399 Speaker 1: view in other places say. The real CDC data is 462 00:25:30,440 --> 00:25:35,520 Speaker 1: something like one hundred and fifty children, maybe credibly have 463 00:25:35,720 --> 00:25:38,680 Speaker 1: died from a severe COVID case. And keep in mind 464 00:25:38,680 --> 00:25:42,520 Speaker 1: that every year of flu season, about fifty to one 465 00:25:42,600 --> 00:25:45,560 Speaker 1: hundred and fifty die of flu in that same age category. 466 00:25:45,840 --> 00:25:49,240 Speaker 1: Every death is a tragedy. But acting like when you 467 00:25:49,280 --> 00:25:53,639 Speaker 1: have hundreds of thousands of cases and maybe maybe fifty 468 00:25:53,640 --> 00:25:56,200 Speaker 1: to one hundred children have actually died of those hundreds 469 00:25:56,200 --> 00:25:59,199 Speaker 1: of thousands of cases, we're gonna shut down society in 470 00:25:59,200 --> 00:26:02,240 Speaker 1: some capacity in schools to stop this is utter madness. 471 00:26:02,359 --> 00:26:06,639 Speaker 1: It's just that these are known cases. We're likely in 472 00:26:06,680 --> 00:26:10,399 Speaker 1: the tens to millions, that's right, right, of actual kids 473 00:26:10,440 --> 00:26:12,960 Speaker 1: that have had COVID. This is why another area where 474 00:26:12,960 --> 00:26:15,359 Speaker 1: the numbers, we have to keep reminding everybody the mortality 475 00:26:15,560 --> 00:26:19,720 Speaker 1: data in general is crap the way that it is 476 00:26:19,760 --> 00:26:22,359 Speaker 1: presented to you. It is because if you have one 477 00:26:22,440 --> 00:26:25,280 Speaker 1: hundred and fifty kids, let's say, who have died from COVID, 478 00:26:25,560 --> 00:26:27,359 Speaker 1: and it's roughly that you can go fact check me 479 00:26:27,400 --> 00:26:29,080 Speaker 1: at CDC dot gov. They put this on all my 480 00:26:29,080 --> 00:26:32,000 Speaker 1: Facebook and Twitter post TOC dot gov. Right, even when 481 00:26:32,040 --> 00:26:34,439 Speaker 1: I list something from CDC dot gov, I'm on the 482 00:26:34,440 --> 00:26:37,879 Speaker 1: list of you know, Fauci hates me and I don't know. 483 00:26:37,920 --> 00:26:39,320 Speaker 1: I don't know if he hates you. He probably is. 484 00:26:39,400 --> 00:26:41,640 Speaker 1: He's probably a Georgia Bulldogs fan. I don't know. Well, 485 00:26:41,680 --> 00:26:45,119 Speaker 1: I'll say this, CNN is angry about some of the 486 00:26:45,119 --> 00:26:48,760 Speaker 1: tweets that I've been sending, so they're checking me, literally 487 00:26:48,800 --> 00:26:51,040 Speaker 1: the worst news organization. You know, you should reply, didn't 488 00:26:51,080 --> 00:26:54,359 Speaker 1: you guys ban me forever? Whimp? Yes, anyways, I would reply, 489 00:26:54,480 --> 00:26:57,479 Speaker 1: but you banned me for life? Yeah, exactly, so you know. 490 00:26:57,640 --> 00:27:00,119 Speaker 1: But but on the mortality data, let's all remember that 491 00:27:00,160 --> 00:27:03,000 Speaker 1: if you're talking about one hundred and fifty kids who 492 00:27:03,000 --> 00:27:06,240 Speaker 1: have died from COVID over the course of two years now, 493 00:27:06,240 --> 00:27:09,720 Speaker 1: and it's something like that, they said hundreds of thousands 494 00:27:09,720 --> 00:27:12,840 Speaker 1: of infections, the numbers actually much bigger than that, which 495 00:27:12,840 --> 00:27:16,479 Speaker 1: should mean that people are much less concerned about children 496 00:27:16,520 --> 00:27:19,439 Speaker 1: getting COVID because in the early days of the pandemic 497 00:27:19,480 --> 00:27:23,240 Speaker 1: they thought they were catching one in ten cases. Maybe 498 00:27:23,680 --> 00:27:26,240 Speaker 1: maybe now we'd be catching one in five, which should 499 00:27:26,240 --> 00:27:29,120 Speaker 1: be remarkable. It's probably more like one in ten, especially 500 00:27:29,119 --> 00:27:33,040 Speaker 1: among kids who we all know beat the virus so quickly. 501 00:27:33,080 --> 00:27:36,520 Speaker 1: They don't remember when forty percent of cases were asymptomatically. 502 00:27:36,560 --> 00:27:38,520 Speaker 1: What happened? You remember when they would talk about forty 503 00:27:38,560 --> 00:27:42,159 Speaker 1: percent of all cases asymptomatic. Somehow that fell fell off 504 00:27:42,200 --> 00:27:44,719 Speaker 1: the radar. What's going on? Yeah, and look, we're setting 505 00:27:44,800 --> 00:27:48,719 Speaker 1: new daily records for number of people that are testing 506 00:27:48,760 --> 00:27:51,440 Speaker 1: positive for COVID. To your point, buck, even though the 507 00:27:51,560 --> 00:27:54,200 Speaker 1: vast majority I think of people who are testing positive 508 00:27:54,440 --> 00:27:58,560 Speaker 1: are doing so doing so either at home or they're sick, 509 00:27:58,640 --> 00:28:01,639 Speaker 1: and they don't even bother getting tested at all, because 510 00:28:01,640 --> 00:28:04,320 Speaker 1: it doesn't make sense. It's stunning, folks. And if you 511 00:28:04,359 --> 00:28:06,360 Speaker 1: want to chat with us eight hundred two two two 512 00:28:06,920 --> 00:28:08,720 Speaker 1: eight eight two, we'll get to that in a moment. 513 00:28:09,480 --> 00:28:12,080 Speaker 1: There's a newer study out sharing that most people interviewed 514 00:28:12,119 --> 00:28:15,320 Speaker 1: are concerned about the number one concern going into twenty 515 00:28:15,359 --> 00:28:17,159 Speaker 1: twenty two. It's not the COVID virus and how to 516 00:28:17,200 --> 00:28:19,720 Speaker 1: cope with it, but it's the economy and the effects 517 00:28:19,760 --> 00:28:22,480 Speaker 1: of inflation. The cost of living is up nearly seven 518 00:28:22,480 --> 00:28:25,640 Speaker 1: percent in just a year's time. That's the biggest jump 519 00:28:25,640 --> 00:28:28,639 Speaker 1: in living expenses in forty years. That tells you everything 520 00:28:28,640 --> 00:28:30,560 Speaker 1: about the value for your dollars and the money you've 521 00:28:30,560 --> 00:28:33,760 Speaker 1: saved for retirement. To protect the value of your hard earned, 522 00:28:33,800 --> 00:28:36,280 Speaker 1: well saved dollars, you should invest a portion of that 523 00:28:36,440 --> 00:28:39,360 Speaker 1: in real Goal. That precious metal has been proven to 524 00:28:39,400 --> 00:28:43,280 Speaker 1: hold and increase its value over time, particularly during periods 525 00:28:43,280 --> 00:28:46,360 Speaker 1: of inflation. Purchasing real goal then taking possession of it, 526 00:28:46,600 --> 00:28:49,160 Speaker 1: holding it in your hands is made easy by our 527 00:28:49,160 --> 00:28:51,840 Speaker 1: friends at the Oxford Gold Group. They make it simple 528 00:28:51,880 --> 00:28:54,400 Speaker 1: to understand exactly what's going on and they will help 529 00:28:54,480 --> 00:28:58,120 Speaker 1: you in the most straightforward, stress free fashion possible take 530 00:28:58,200 --> 00:29:02,880 Speaker 1: actual physical possession of your actual real gold, having real 531 00:29:02,920 --> 00:29:04,680 Speaker 1: gold delivered to your home or having it as part 532 00:29:04,720 --> 00:29:08,000 Speaker 1: of your IRA. It is just a phone call away 533 00:29:08,120 --> 00:29:10,760 Speaker 1: with Oxford Gold. Call them at eight three three four 534 00:29:10,920 --> 00:29:13,640 Speaker 1: zero four Gold and learn how you can have real 535 00:29:13,680 --> 00:29:16,560 Speaker 1: gold in your IRA and delivered to your door. That's 536 00:29:16,560 --> 00:29:19,200 Speaker 1: the Oxford Gold Group at eight three three four zero 537 00:29:19,280 --> 00:29:22,960 Speaker 1: four Gold eight three three four zero four g O 538 00:29:23,440 --> 00:29:30,080 Speaker 1: l D. Getting in the final laps here of the 539 00:29:30,080 --> 00:29:32,920 Speaker 1: Clay Travis and Buck Sexton show for the day. Thank 540 00:29:32,960 --> 00:29:34,400 Speaker 1: you so much all for being with us. If you 541 00:29:34,480 --> 00:29:38,080 Speaker 1: missed any part of it, our honestly fantastic interviews today 542 00:29:38,280 --> 00:29:43,320 Speaker 1: with we had Alex Barrinson, just now author of Pandemia. 543 00:29:43,440 --> 00:29:47,560 Speaker 1: We also had the Congressman from Ohio, Jim Jordan, and 544 00:29:47,880 --> 00:29:51,800 Speaker 1: center from Wisconsin Ron Johnson, all dropping truth bombs today 545 00:29:51,800 --> 00:29:53,840 Speaker 1: in The Clay and Buck Show, the podcast of The 546 00:29:53,840 --> 00:29:56,640 Speaker 1: Clay and Buck Show. Please subscribe The iheartapp a great 547 00:29:56,640 --> 00:29:59,000 Speaker 1: place to listen. You can also listen wherever you get 548 00:29:59,040 --> 00:30:02,400 Speaker 1: your podcasts, and you can check out the Buck Sexton 549 00:30:02,480 --> 00:30:05,880 Speaker 1: Morning Podcast at buck Sexton dot com. Fifteen minutes long. 550 00:30:05,920 --> 00:30:07,640 Speaker 1: It's a quick one. Throw that in the mix too, 551 00:30:07,640 --> 00:30:08,960 Speaker 1: in case you run out of Clay and Buck, you 552 00:30:08,960 --> 00:30:10,280 Speaker 1: can throw that one. At the end of the day, 553 00:30:10,960 --> 00:30:18,160 Speaker 1: we have James in Canyon Lake, Texas. What's up, James? Yeah, Hey, 554 00:30:18,200 --> 00:30:20,880 Speaker 1: I was just gonna say right now, the Force vaccine 555 00:30:20,920 --> 00:30:24,320 Speaker 1: is a left problem. But the second Trump announces he's 556 00:30:24,320 --> 00:30:27,720 Speaker 1: gonna run, they will pivot so fast on the vaccine. 557 00:30:28,200 --> 00:30:30,760 Speaker 1: They will report all the negative side effects. They'll even 558 00:30:30,800 --> 00:30:33,040 Speaker 1: make some up. They will say warp Speed got it 559 00:30:33,080 --> 00:30:36,480 Speaker 1: wrong and Joe would have got it right. Joe, James, 560 00:30:36,520 --> 00:30:39,600 Speaker 1: I can appreciate the fact that you recognize these people 561 00:30:39,680 --> 00:30:42,280 Speaker 1: have zero honesty or integrity to protect, and so they'll 562 00:30:42,280 --> 00:30:44,920 Speaker 1: do almost anything. But I don't think I'll just be 563 00:30:44,960 --> 00:30:47,200 Speaker 1: honestly there, you're you're intil of the your opinion. Of course, 564 00:30:47,840 --> 00:30:50,920 Speaker 1: I don't see that happening because they've embraced all this 565 00:30:51,080 --> 00:30:54,360 Speaker 1: vaccine stuff so much. Clay, how do you it would 566 00:30:54,400 --> 00:30:58,400 Speaker 1: be happening buck if Trump were still president, Right, if 567 00:30:58,400 --> 00:31:02,000 Speaker 1: they could hang everything just like they did in twenty twenty. 568 00:31:02,040 --> 00:31:04,600 Speaker 1: I mean, more people have died with COVID. I think 569 00:31:04,600 --> 00:31:07,320 Speaker 1: we need to keep saying with COVID since Joe Biden 570 00:31:07,360 --> 00:31:11,400 Speaker 1: became president, then died with COVID when Donald Trump was president. 571 00:31:11,920 --> 00:31:15,760 Speaker 1: But I think that what they've done is pivot away 572 00:31:15,800 --> 00:31:20,640 Speaker 1: from blaming the president, and now what they're saying is, oh, 573 00:31:20,680 --> 00:31:23,840 Speaker 1: nobody could have done any better than what Joe Biden 574 00:31:23,920 --> 00:31:25,920 Speaker 1: has done. Right, That's the argument they're going to try 575 00:31:25,920 --> 00:31:28,080 Speaker 1: to make. So I don't think that they're going to 576 00:31:28,160 --> 00:31:30,440 Speaker 1: be able to hang everything on Trump. Now. If he 577 00:31:30,440 --> 00:31:33,360 Speaker 1: had stayed president, then there's no doubt that he would 578 00:31:33,360 --> 00:31:36,040 Speaker 1: be getting blamed way worse for everything than Joe Biden. 579 00:31:36,120 --> 00:31:40,800 Speaker 1: I firmly believe that he would be on impeachment number three, 580 00:31:42,840 --> 00:31:45,920 Speaker 1: they'd find some crazy. I mean, look what they did 581 00:31:45,960 --> 00:31:48,640 Speaker 1: with the Ukraine phone call. These people are pizza president 582 00:31:48,720 --> 00:31:52,400 Speaker 1: or anything, debasing the whole system we have on the process. 583 00:31:52,520 --> 00:31:54,400 Speaker 1: I mean, just think about how crazy it is. We 584 00:31:54,440 --> 00:31:57,880 Speaker 1: still don't have tests, and Joe Biden went after Donald 585 00:31:57,880 --> 00:32:00,560 Speaker 1: Trump for not having tests, you know, during the middle 586 00:32:00,560 --> 00:32:04,520 Speaker 1: of the presidential campaign. So imagine if Trump were still president. 587 00:32:04,920 --> 00:32:07,640 Speaker 1: I am of the opinion some of you may disagree 588 00:32:07,960 --> 00:32:11,960 Speaker 1: that COVID isn't going to be much different no matter 589 00:32:12,040 --> 00:32:15,880 Speaker 1: what the political response was, right. That is, virtually nothing 590 00:32:15,920 --> 00:32:19,440 Speaker 1: that we have done, in my opinion, has substantially altered 591 00:32:19,480 --> 00:32:22,880 Speaker 1: the trajectory of We've basically been in a lead it 592 00:32:22,960 --> 00:32:26,520 Speaker 1: rip scenario. We just piled on top of that scenario 593 00:32:26,720 --> 00:32:31,239 Speaker 1: a whole lot of unnecessary mitigations, intrusions, masking, and all 594 00:32:31,280 --> 00:32:32,959 Speaker 1: the rest of it. That's really when you do a 595 00:32:32,960 --> 00:32:34,920 Speaker 1: real macro analysis of this, you look at look at 596 00:32:34,960 --> 00:32:37,000 Speaker 1: all over the world, all the things that have been tried, 597 00:32:37,120 --> 00:32:39,680 Speaker 1: all the places, and anyone that says this looks like 598 00:32:39,680 --> 00:32:43,080 Speaker 1: a success, that this regime of lockdowns and in the 599 00:32:43,080 --> 00:32:47,760 Speaker 1: global panic that ensued, it's just crazy. Chet in Tampa, Florida, Chet, 600 00:32:47,800 --> 00:32:52,400 Speaker 1: what do you got thank you, gentlemen. Well, for the 601 00:32:52,480 --> 00:32:55,640 Speaker 1: last year, all you've heard is mandate, mandate, mandate. You've 602 00:32:55,680 --> 00:32:57,480 Speaker 1: got to get this shot. You've got to get this shot. 603 00:32:57,720 --> 00:33:00,960 Speaker 1: Biden has been great at putting his feet in the mouth. Well, 604 00:33:01,000 --> 00:33:04,320 Speaker 1: I think he outdid himself two weeks ago, after all 605 00:33:04,320 --> 00:33:07,840 Speaker 1: this mandate issues, he says there is no federal fix 606 00:33:08,120 --> 00:33:12,479 Speaker 1: for COVID. Yes, so didn't that shoots the mandate right 607 00:33:12,480 --> 00:33:15,360 Speaker 1: out of the sound yet excellent point. Excellent point. And 608 00:33:15,400 --> 00:33:19,440 Speaker 1: I would say, just to expand upon or if we're in, 609 00:33:20,040 --> 00:33:22,880 Speaker 1: if we're in, you know, corporate Parlan's clay to piggyback 610 00:33:22,920 --> 00:33:25,200 Speaker 1: off of Chet's point here, yea, to circle back, close 611 00:33:25,240 --> 00:33:28,000 Speaker 1: the loop, piggyback and level set expectations. Oh, I can 612 00:33:28,080 --> 00:33:32,920 Speaker 1: go all day, folks. Chet, the the Biden regime wants 613 00:33:32,960 --> 00:33:36,160 Speaker 1: to simultaneously have the power to do whatever it wants 614 00:33:36,160 --> 00:33:39,240 Speaker 1: when it comes to COVID, but none of the responsibility 615 00:33:39,600 --> 00:33:42,560 Speaker 1: for the poor outcomes and failed decision making that led 616 00:33:42,640 --> 00:33:45,120 Speaker 1: us to this point that they've used during COVID. You 617 00:33:45,160 --> 00:33:47,320 Speaker 1: see what I mean. They want the upside, not the downside. 618 00:33:47,400 --> 00:33:49,479 Speaker 1: And look, it's not a surprise that as we hit 619 00:33:49,520 --> 00:33:53,240 Speaker 1: an all time hospitalization record, Biden is showing up in 620 00:33:53,320 --> 00:33:56,880 Speaker 1: Georgia to do what talk about fundamental threats to our 621 00:33:56,960 --> 00:34:02,000 Speaker 1: democracy from from the filibuster, if the filibuster is not 622 00:34:02,120 --> 00:34:05,200 Speaker 1: reformed and all these different things. Meanwhile, a lot of 623 00:34:05,280 --> 00:34:07,080 Speaker 1: you out there are kind of throwing up your hands saying, 624 00:34:07,400 --> 00:34:11,120 Speaker 1: I'm not really focused on electoral integrity right now. I'm 625 00:34:11,160 --> 00:34:14,560 Speaker 1: wondering why we've had a thousand flights a day or 626 00:34:14,560 --> 00:34:17,080 Speaker 1: whatever the heck it is canceled for the last ten 627 00:34:17,160 --> 00:34:20,240 Speaker 1: days in a row. I'm wondering why. One of the 628 00:34:20,320 --> 00:34:22,040 Speaker 1: girls that works here came in and she said her 629 00:34:22,080 --> 00:34:25,640 Speaker 1: mom works at Walmart, and she said, sixty three people 630 00:34:25,680 --> 00:34:29,279 Speaker 1: at her mom's Walmart called in with COVID today. So, 631 00:34:29,400 --> 00:34:31,640 Speaker 1: I mean, it's a big store, but that's got to 632 00:34:31,680 --> 00:34:34,840 Speaker 1: be happening everywhere all over the country right now. And 633 00:34:34,880 --> 00:34:38,400 Speaker 1: so this idea that we're focused on exidital threats to democracy, No, 634 00:34:38,600 --> 00:34:40,719 Speaker 1: let's figure out what's going on with COVID since you 635 00:34:40,760 --> 00:34:44,680 Speaker 1: promised to shut it down, Biden, Stephen and Allentown, Pennsylvania 636 00:34:44,680 --> 00:34:47,480 Speaker 1: has got some thoughts. Hey, Stephen, what's up? Thank you 637 00:34:47,560 --> 00:34:51,280 Speaker 1: for doing what you do. Thank you every day carrying 638 00:34:51,320 --> 00:34:56,399 Speaker 1: on the good work. Quickie. My wife's a veterinarian and 639 00:34:56,560 --> 00:35:00,800 Speaker 1: she said to me, there's a big difference between inoculation 640 00:35:01,120 --> 00:35:05,239 Speaker 1: and vaccination, and this covid shot is not a vaccination. 641 00:35:05,400 --> 00:35:08,000 Speaker 1: It's an inoculation. That's why you have to keep getting 642 00:35:08,080 --> 00:35:11,400 Speaker 1: boosters on a regular basis. You don't get your dogs 643 00:35:11,480 --> 00:35:15,359 Speaker 1: vaccinated every six months. You get them vaccinated, they're good 644 00:35:15,360 --> 00:35:18,800 Speaker 1: for five years. I'm not an expert on that distinction. 645 00:35:18,960 --> 00:35:22,200 Speaker 1: What I would say is when the fiser CEO gets 646 00:35:22,239 --> 00:35:24,400 Speaker 1: a video pulled off the internet where he's saying that 647 00:35:24,719 --> 00:35:28,320 Speaker 1: provides limited, if any protection the first two shots, that's 648 00:35:28,360 --> 00:35:30,440 Speaker 1: just a COVID shot, right, I mean it's the flu shot. 649 00:35:30,480 --> 00:35:33,719 Speaker 1: That's where we basically are. It is an inoculation, is 650 00:35:33,840 --> 00:35:36,160 Speaker 1: not a vaccination. It's a short thank you for that 651 00:35:36,200 --> 00:35:40,439 Speaker 1: call it. It's a short lived boost that we don't 652 00:35:40,440 --> 00:35:42,640 Speaker 1: know how long. Frankly, at last, we want to give 653 00:35:42,680 --> 00:35:46,000 Speaker 1: a shout out by the Way Talk Radio fourteen hundred 654 00:35:46,160 --> 00:35:50,600 Speaker 1: WK and W Sue Saint Marie, Michigan market manager. Up 655 00:35:50,680 --> 00:35:54,680 Speaker 1: there is Keith Nieve. That is a fantastic area of Michigan. 656 00:35:54,760 --> 00:35:57,160 Speaker 1: My wife is from Michigan. Spend a lot of time 657 00:35:57,440 --> 00:36:00,359 Speaker 1: up in that area, and so we think everybody who 658 00:36:00,440 --> 00:36:02,560 Speaker 1: is listening on Sue Saint Marie. You know, it's one 659 00:36:02,560 --> 00:36:05,000 Speaker 1: of those things I've been to. I've given speeches in 660 00:36:05,239 --> 00:36:08,520 Speaker 1: Michigan and Illinois in recent years, Clay, and in parts 661 00:36:08,520 --> 00:36:11,720 Speaker 1: of those states that are so red and so freedom 662 00:36:11,760 --> 00:36:13,719 Speaker 1: loving that, yes, you forget that there are these whole 663 00:36:13,719 --> 00:36:16,280 Speaker 1: parts of Michigan and Illinois and places like that where 664 00:36:16,640 --> 00:36:19,960 Speaker 1: the commies do not. It's just Detroit in Chicago where 665 00:36:19,960 --> 00:36:23,360 Speaker 1: the commies run the show. That's right. Upstate Michigan is 666 00:36:23,400 --> 00:36:26,360 Speaker 1: one of the crown jewels of the country, completely hidden 667 00:36:26,440 --> 00:36:28,680 Speaker 1: up there. I'm probably a lot of people who love 668 00:36:28,760 --> 00:36:31,759 Speaker 1: upstate Michigan right now are screaming at their radio. Shut up, Clay. 669 00:36:31,760 --> 00:36:33,200 Speaker 1: Don't tell them how to give them this, but it 670 00:36:33,320 --> 00:36:37,400 Speaker 1: is a crown jewel in the summer up there waters beautiful, 671 00:36:37,719 --> 00:36:41,200 Speaker 1: incredibly outstanding place. I've got been fortunate enough to spend 672 00:36:41,200 --> 00:36:43,120 Speaker 1: a lot of time there. Download the podcast. We had 673 00:36:43,120 --> 00:36:45,480 Speaker 1: a whale of a show. Yeah, it's sanity and an 674 00:36:45,520 --> 00:36:47,520 Speaker 1: insane world, folks. What we provide you here in the 675 00:36:47,560 --> 00:36:50,600 Speaker 1: Clay in Buck Show, the front lines of freedom, the 676 00:36:50,719 --> 00:36:55,160 Speaker 1: vanguard of truth, crushing commies like it's going out of style, 677 00:36:55,360 --> 00:37:00,680 Speaker 1: but it's not. We'll be back tomorrow. We're listening to 678 00:37:00,920 --> 00:37:04,800 Speaker 1: Clay Travis and Buck Sexton on the EIB Network