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 --> 00:00:07,640 Speaker 1: Sexton Show podcast. Welcome everybody to the Tuesday edition of 3 00:00:07,680 --> 00:00:10,719 Speaker 1: The Clay Travis and Buck Sexton Show. Appreciate you being 4 00:00:10,720 --> 00:00:13,920 Speaker 1: with us eight two two eight two on those phones. 5 00:00:15,200 --> 00:00:18,480 Speaker 1: We got Faucci on Capitol Hill today getting a grilling 6 00:00:18,800 --> 00:00:22,680 Speaker 1: by Senator Rand Paul as well as some others. A 7 00:00:22,680 --> 00:00:25,040 Speaker 1: little usually the rest of them ask pretty tame questions 8 00:00:25,160 --> 00:00:27,800 Speaker 1: or just act. There's the Fauci PR team. I'm not 9 00:00:27,920 --> 00:00:31,320 Speaker 1: a surprise, got some updates view on those COVID numbers. 10 00:00:31,320 --> 00:00:35,559 Speaker 1: Plus today, I mean, our guest lineup is phenomenal. We 11 00:00:35,680 --> 00:00:38,640 Speaker 1: have Senator Ron Johnson coming up in just about twenty minutes. 12 00:00:38,680 --> 00:00:42,080 Speaker 1: We have Alex Barrenson in the third hour of the program, 13 00:00:42,080 --> 00:00:46,919 Speaker 1: author of Pandemia, and we have Jim Jordan of the 14 00:00:46,920 --> 00:00:49,360 Speaker 1: Great State of Ohio, member of Congress about some of 15 00:00:49,360 --> 00:00:52,400 Speaker 1: those Fauci emails. So we we have so much to 16 00:00:52,440 --> 00:00:55,640 Speaker 1: talk to you about. But there is just this this 17 00:00:56,120 --> 00:00:58,040 Speaker 1: public service announcement that I think Clay and I need 18 00:00:58,040 --> 00:01:00,680 Speaker 1: to make for all of you before we've into all 19 00:01:00,680 --> 00:01:02,319 Speaker 1: that news of the day, and we got a lot 20 00:01:02,360 --> 00:01:04,080 Speaker 1: to cover. I might even talk about the new disc 21 00:01:04,120 --> 00:01:07,119 Speaker 1: attorney in Manhattan, and turns out some interesting stuff's coming 22 00:01:07,160 --> 00:01:09,680 Speaker 1: up about him. And I got a karate kids story 23 00:01:09,720 --> 00:01:11,960 Speaker 1: that might blow some minds, Clay, I blew my mind 24 00:01:12,040 --> 00:01:14,240 Speaker 1: last night. It's gonna blow some minds here. What a 25 00:01:14,280 --> 00:01:17,080 Speaker 1: small world we live in, my friends. Karate kids story. 26 00:01:17,080 --> 00:01:18,959 Speaker 1: That's some fun stuff coming up for later. I promise 27 00:01:19,000 --> 00:01:20,720 Speaker 1: you want to stick around for it, though, you're like, what, 28 00:01:21,720 --> 00:01:26,640 Speaker 1: So there is this trend right now of both rewriting 29 00:01:26,760 --> 00:01:30,880 Speaker 1: history from the fauciite libs. Right, Oh, we never said that. 30 00:01:30,920 --> 00:01:35,800 Speaker 1: We never said the vaccine would prevent infection and transmission. 31 00:01:35,880 --> 00:01:38,039 Speaker 1: I mean, and then of course we play the clips 32 00:01:38,040 --> 00:01:40,240 Speaker 1: and the clips, and they said it time and time again, 33 00:01:40,280 --> 00:01:42,680 Speaker 1: and that was the justification for the mandates. But they're 34 00:01:42,720 --> 00:01:47,600 Speaker 1: trying to gaslight you on a thermonuclear scale, I mean, 35 00:01:47,640 --> 00:01:52,080 Speaker 1: just going all out with the gaslighting. And then beyond that, 36 00:01:52,080 --> 00:01:56,640 Speaker 1: they're also now playing this game of we just discovered something, 37 00:01:56,880 --> 00:01:59,560 Speaker 1: we just learned. Oh my gosh, it turns out that 38 00:01:59,640 --> 00:02:02,360 Speaker 1: some of the numbers are wrong, that there might be 39 00:02:02,440 --> 00:02:06,360 Speaker 1: far fewer hospitalized and dead from COVID than we had 40 00:02:06,400 --> 00:02:10,560 Speaker 1: been told. Over at CNN, you have a classic example 41 00:02:10,600 --> 00:02:17,200 Speaker 1: of this with Jake Tapper and Sanjay Gupta. Suddenly it's 42 00:02:17,240 --> 00:02:19,440 Speaker 1: a it's okay to have a discussion about the numbers 43 00:02:19,520 --> 00:02:23,359 Speaker 1: being inaccurate. Listen to it. If forty percent in some hospitals, 44 00:02:23,639 --> 00:02:26,200 Speaker 1: forty percent of the people who have COVID don't necessarily 45 00:02:26,200 --> 00:02:28,640 Speaker 1: have problematic COVID. They're there because they got in a 46 00:02:28,639 --> 00:02:31,640 Speaker 1: car accident. They get there there because um, you know, 47 00:02:32,080 --> 00:02:35,920 Speaker 1: they bump their head and they're being included as in 48 00:02:35,960 --> 00:02:39,760 Speaker 1: the hospital with COVID. That number seems kind of misleading. Yeah, 49 00:02:39,760 --> 00:02:42,160 Speaker 1: I agree, Jake. It surprises me that they have not 50 00:02:42,240 --> 00:02:44,960 Speaker 1: been able to parse out that data more carefully. All Right, 51 00:02:45,000 --> 00:02:49,240 Speaker 1: so he's agreeing that ductor just clay before we allow 52 00:02:49,280 --> 00:02:51,680 Speaker 1: them to get away with this. Elon Musk may have 53 00:02:51,720 --> 00:02:55,400 Speaker 1: twenty twenty Joe Rogan program play it just say give 54 00:02:55,440 --> 00:02:59,520 Speaker 1: you better information. Definitely diagnosed with COVID or had COVID 55 00:02:59,520 --> 00:03:02,560 Speaker 1: like symptoms. We're conflating those two so that one that 56 00:03:02,680 --> 00:03:05,760 Speaker 1: it looks bigger than it is. Then if somebody dies, 57 00:03:06,080 --> 00:03:10,200 Speaker 1: is was COVID a primary cause of the death or not? 58 00:03:10,639 --> 00:03:12,520 Speaker 1: I mean, if somebody has COVID gets eaten by shark, 59 00:03:13,240 --> 00:03:17,400 Speaker 1: we find their arm their arm has COVID, It's gonna 60 00:03:17,440 --> 00:03:20,639 Speaker 1: get recorded as a COVID death. Is that real? Not? 61 00:03:20,639 --> 00:03:24,320 Speaker 1: Basically not that bad? But heart attacks, strokes, get hit 62 00:03:24,320 --> 00:03:27,360 Speaker 1: by a bus, cancer. If you get hit by a bus, 63 00:03:27,480 --> 00:03:30,600 Speaker 1: go to the the hospital and die and they find that 64 00:03:30,639 --> 00:03:32,760 Speaker 1: you have COVID, you will be recorded as a COVID death. 65 00:03:32,800 --> 00:03:35,720 Speaker 1: Why would they do that? Though? Well, right now, so 66 00:03:36,880 --> 00:03:39,040 Speaker 1: you know, the roadtel is paid with good intentions. I mean, 67 00:03:39,080 --> 00:03:41,520 Speaker 1: it's mostly paid with bad intentions, but there's you know, 68 00:03:41,640 --> 00:03:44,680 Speaker 1: some good intentions saving stones in there too, Clay, How 69 00:03:44,720 --> 00:03:48,680 Speaker 1: are they just figuring out now at CNN what Elon 70 00:03:48,800 --> 00:03:51,720 Speaker 1: knew a year and a half ago. You knew, I knew? 71 00:03:52,040 --> 00:03:56,200 Speaker 1: Oh gosh, worth a discussion. Not only did we know it, Buck, 72 00:03:56,680 --> 00:04:00,800 Speaker 1: if you tried to say this on social media, they 73 00:04:00,840 --> 00:04:03,640 Speaker 1: would try and ban you. I mean, there were ample 74 00:04:03,800 --> 00:04:09,160 Speaker 1: numbers of stories out there about guys who got shot, 75 00:04:09,240 --> 00:04:13,240 Speaker 1: murdered and were recorded as a COVID death. And so 76 00:04:13,720 --> 00:04:17,040 Speaker 1: that's what's so dishonest about what Jake Tapper and Sanjay 77 00:04:17,080 --> 00:04:19,359 Speaker 1: Gupta are doing in the discussion that they had that 78 00:04:19,440 --> 00:04:24,000 Speaker 1: you played. CNN is suddenly seeing the light, so to speak, 79 00:04:24,320 --> 00:04:28,520 Speaker 1: and they're pretending, oh, look a here. It turns out 80 00:04:28,600 --> 00:04:32,040 Speaker 1: that every single person who was in a hospital for 81 00:04:32,120 --> 00:04:35,719 Speaker 1: COVID is not there. They're there a lot of them 82 00:04:35,920 --> 00:04:40,159 Speaker 1: with COVID as opposed to because of COVID. And what 83 00:04:40,279 --> 00:04:43,599 Speaker 1: this also opens the door for Buck is the question 84 00:04:43,680 --> 00:04:47,000 Speaker 1: of how many of these eight hundred thousand some odd 85 00:04:47,040 --> 00:04:51,159 Speaker 1: deaths that are recorded as COVID deaths are actually because 86 00:04:51,200 --> 00:04:54,400 Speaker 1: of COVID. That is, in other words, if they had 87 00:04:54,480 --> 00:04:56,640 Speaker 1: not if COVID had not existed, those people would still 88 00:04:56,640 --> 00:04:59,039 Speaker 1: be alive. We don't know, but if we're talking about 89 00:04:59,040 --> 00:05:02,080 Speaker 1: fifty fifty in the high hospital, that would suggest there's 90 00:05:02,080 --> 00:05:05,919 Speaker 1: a decent percentage of COVID deaths that are not attributable 91 00:05:05,960 --> 00:05:10,839 Speaker 1: to COVID. You had hospice and a severe form of cancer, 92 00:05:11,400 --> 00:05:14,559 Speaker 1: and you died really of the cancer, but you also 93 00:05:14,640 --> 00:05:16,839 Speaker 1: had COVID at the time of your death. And Buck, 94 00:05:16,920 --> 00:05:19,920 Speaker 1: the bigger picture here is why is this happening? And 95 00:05:20,000 --> 00:05:24,800 Speaker 1: I think what's happening is the Democrats have gone way 96 00:05:24,880 --> 00:05:30,479 Speaker 1: underwater on COVID. They are massively underwater. Suddenly with Joe Biden. 97 00:05:30,960 --> 00:05:33,400 Speaker 1: That was the only thing that was keeping Joe Biden's 98 00:05:33,400 --> 00:05:37,880 Speaker 1: approval rating in decent position, and now as we start 99 00:05:37,920 --> 00:05:40,920 Speaker 1: to pivot and look towards the mid term, there are 100 00:05:40,960 --> 00:05:44,960 Speaker 1: suddenly going to be contextualizations of the data. Yes, we 101 00:05:45,000 --> 00:05:48,040 Speaker 1: may have had one point four million COVID cases yesterday, 102 00:05:48,480 --> 00:05:51,880 Speaker 1: which was a massive new high, and we may hit 103 00:05:51,920 --> 00:05:54,480 Speaker 1: two million this week before all is said and done, 104 00:05:54,480 --> 00:05:57,840 Speaker 1: which by the way, is certainly a lower number than 105 00:05:57,880 --> 00:06:01,360 Speaker 1: the actual COVID cases because many people and actually report 106 00:06:01,400 --> 00:06:03,240 Speaker 1: that they got COVID if they're doing a home test, 107 00:06:03,320 --> 00:06:05,680 Speaker 1: or if you feel poorly at home you just stay home. 108 00:06:05,680 --> 00:06:07,520 Speaker 1: You don't know one hundred percent that you had COVID, 109 00:06:07,520 --> 00:06:09,080 Speaker 1: whether it was a cold, whether it was the flu. 110 00:06:09,720 --> 00:06:11,880 Speaker 1: And so what's going on, Buck is to your point, 111 00:06:12,000 --> 00:06:14,520 Speaker 1: I think they are attempting to rewrite history, and they 112 00:06:14,520 --> 00:06:17,679 Speaker 1: are now going to gaslight all of us and try 113 00:06:17,680 --> 00:06:21,359 Speaker 1: and convince us, oh, this data has changed, when the 114 00:06:21,440 --> 00:06:23,400 Speaker 1: reality has been You and I have been talking about 115 00:06:23,440 --> 00:06:27,400 Speaker 1: this exact data for years now, and CNN is claiming, oh, 116 00:06:27,440 --> 00:06:31,000 Speaker 1: we just became aware that this existed. The conspiracy theorists 117 00:06:31,120 --> 00:06:34,960 Speaker 1: keep getting proven right about every six months, you know, 118 00:06:35,000 --> 00:06:37,880 Speaker 1: as we rolled out vaccine mandates, as we rolled out 119 00:06:37,920 --> 00:06:40,400 Speaker 1: a vaccine that doesn't stop the spread, despite them saying 120 00:06:40,400 --> 00:06:42,560 Speaker 1: it did even though we knew. We knew. People can 121 00:06:42,560 --> 00:06:45,680 Speaker 1: go back and listen. We had Barrenson on in July, remember, yes, 122 00:06:45,920 --> 00:06:49,360 Speaker 1: and we would have discussions about how the vaccine based 123 00:06:49,360 --> 00:06:51,599 Speaker 1: on the UK and Israeli data just doesn't stop the 124 00:06:51,600 --> 00:06:53,960 Speaker 1: spread very well at all. Now we know that's true. 125 00:06:54,120 --> 00:06:57,039 Speaker 1: The conspiracy theorists keep being correct, and you and I 126 00:06:57,080 --> 00:06:59,600 Speaker 1: have also had people writing to us doctors, So I'm 127 00:06:59,720 --> 00:07:01,720 Speaker 1: we others that are just saying, hey, I'm a doctor. 128 00:07:01,760 --> 00:07:03,720 Speaker 1: It can't necessarily verify. But some of the doctors that 129 00:07:03,800 --> 00:07:06,640 Speaker 1: write in I know personally and I know you do too, 130 00:07:07,520 --> 00:07:10,480 Speaker 1: and they say, this is what's happening in hospitals. But 131 00:07:10,600 --> 00:07:14,680 Speaker 1: I can't say this publicly because my hospital administrators will 132 00:07:14,720 --> 00:07:18,480 Speaker 1: fire me. I can't go against the Fauciit narrative because 133 00:07:18,560 --> 00:07:20,320 Speaker 1: I don't want to not just risk my career, but 134 00:07:20,360 --> 00:07:22,160 Speaker 1: also then I can't tend to my patients. And there 135 00:07:22,160 --> 00:07:23,520 Speaker 1: are people who count on me, and I know I 136 00:07:23,520 --> 00:07:27,960 Speaker 1: got a family to feed, right, Everyone's got their concerns here. Meanwhile, 137 00:07:28,160 --> 00:07:30,960 Speaker 1: back in you know the reality of what we're dealing with. 138 00:07:31,600 --> 00:07:34,120 Speaker 1: You have the CEO of Viser. I mean, you've got 139 00:07:34,160 --> 00:07:37,840 Speaker 1: to hear this two vaccine doses. This is from the CEO. 140 00:07:38,000 --> 00:07:40,320 Speaker 1: If I had written on Twitter the vaccine does not 141 00:07:40,440 --> 00:07:43,280 Speaker 1: work well a month ago to stop the spread. We 142 00:07:43,320 --> 00:07:44,960 Speaker 1: have to keep adding that proviser because they'll say it 143 00:07:45,000 --> 00:07:47,840 Speaker 1: stops death in hospitalization. Okay, but that's not what they 144 00:07:47,880 --> 00:07:51,080 Speaker 1: told us. The initial push for mandates was about spread. 145 00:07:51,320 --> 00:07:55,200 Speaker 1: Here's the actual viser CEO saying straight up, it doesn't 146 00:07:55,240 --> 00:07:59,280 Speaker 1: work that well. We know that the vaccino are very 147 00:07:59,360 --> 00:08:02,640 Speaker 1: limited affection in family. The three doses with a booster, 148 00:08:03,760 --> 00:08:09,360 Speaker 1: they offer reasonable protection against hospitalization and deaths and less 149 00:08:09,480 --> 00:08:14,200 Speaker 1: protection against the infection. Now we are working on a 150 00:08:14,280 --> 00:08:17,200 Speaker 1: new version for a vaccine, the one point one that 151 00:08:17,400 --> 00:08:22,200 Speaker 1: will cover Onlycron as well, and of course we are 152 00:08:22,280 --> 00:08:26,040 Speaker 1: waiting to have the final results. The vaccine will be 153 00:08:26,120 --> 00:08:28,120 Speaker 1: ready in March. Oh great, we're gonna have a new 154 00:08:28,200 --> 00:08:31,360 Speaker 1: vaccine in March, clay An, a new vaccine for omicron. 155 00:08:32,240 --> 00:08:34,079 Speaker 1: Why would we think that that will be the last one. 156 00:08:34,120 --> 00:08:35,960 Speaker 1: There's no reason to think that will be the last one. 157 00:08:36,160 --> 00:08:40,560 Speaker 1: I mean, this is crazy. Buck the CEO Offiser said 158 00:08:40,640 --> 00:08:44,160 Speaker 1: that the two dose vaccine which the Biden administration is 159 00:08:44,200 --> 00:08:47,400 Speaker 1: trying to mandate, and which the Supreme Court is now 160 00:08:47,480 --> 00:08:52,760 Speaker 1: considering whether that mandate is constitutional. The CEO Offiser himself 161 00:08:53,280 --> 00:08:57,000 Speaker 1: said the two dose version of the vaccine against omicron 162 00:08:57,360 --> 00:09:02,240 Speaker 1: provides very limited protection, if any, the actual CEO, and 163 00:09:02,280 --> 00:09:03,679 Speaker 1: then he's going to tell us, but we're gonna have 164 00:09:03,679 --> 00:09:06,760 Speaker 1: a new shot in March, which the government will also 165 00:09:06,840 --> 00:09:10,160 Speaker 1: try in mandate, probably as long as Joe Biden is president, 166 00:09:10,720 --> 00:09:13,280 Speaker 1: and they say that's going to work. But by the 167 00:09:13,320 --> 00:09:16,200 Speaker 1: time we get to March, Buck will likely already be 168 00:09:16,280 --> 00:09:19,000 Speaker 1: through omicron. I hope there's not another variant that is 169 00:09:19,000 --> 00:09:21,040 Speaker 1: also going to rise up in the wake of Omicron. 170 00:09:21,080 --> 00:09:24,040 Speaker 1: I'm hoping that will have so much natural immunity because 171 00:09:24,080 --> 00:09:27,320 Speaker 1: millions of people are getting omicron every day. But Buck, 172 00:09:27,360 --> 00:09:30,360 Speaker 1: what we're talking about is a never ending cycle of 173 00:09:30,440 --> 00:09:35,600 Speaker 1: vaccination being distributed by a for profit drug company based 174 00:09:35,640 --> 00:09:39,079 Speaker 1: on mandates from your government requiring you to consume their 175 00:09:39,120 --> 00:09:43,160 Speaker 1: product and therefore make them tens of billions of dollars. 176 00:09:43,800 --> 00:09:49,600 Speaker 1: This is a scandal of the highest magnitude, and I 177 00:09:49,640 --> 00:09:53,520 Speaker 1: hope the Supreme Court is paying attention to the current data. 178 00:09:53,559 --> 00:09:58,800 Speaker 1: I question whether they are, because we saw what Sotomayor said, 179 00:09:58,880 --> 00:10:01,400 Speaker 1: what Bryer said, and they were just so far outside 180 00:10:01,400 --> 00:10:05,760 Speaker 1: the bounds of understanding COVID. But what the CEO Offiser 181 00:10:05,880 --> 00:10:08,440 Speaker 1: just said, Buck, to make no mistake about this is 182 00:10:08,480 --> 00:10:12,040 Speaker 1: that the United States government is mandating a two shot 183 00:10:12,120 --> 00:10:16,320 Speaker 1: vaccine that has no impact, very limited protection if any, 184 00:10:16,720 --> 00:10:20,600 Speaker 1: against COVID. So how in the world can eighty four 185 00:10:20,640 --> 00:10:23,319 Speaker 1: million people out there be mandated to get a vaccine 186 00:10:23,720 --> 00:10:26,240 Speaker 1: that the CEO of the company that created the vaccine 187 00:10:26,559 --> 00:10:30,240 Speaker 1: says offers very little protect very limited protection if any. 188 00:10:30,679 --> 00:10:33,240 Speaker 1: If they were to switch, and I think this is 189 00:10:33,240 --> 00:10:36,360 Speaker 1: the big problem, This is my worry going into this year, 190 00:10:36,800 --> 00:10:39,600 Speaker 1: obviously with the midterm election, so there's a huge political 191 00:10:39,679 --> 00:10:43,640 Speaker 1: dynamic that's added into things. If they were to do 192 00:10:44,280 --> 00:10:47,160 Speaker 1: what we've been advocating for for a long time, since 193 00:10:47,160 --> 00:10:48,760 Speaker 1: before you and I teamed up on this show and 194 00:10:48,800 --> 00:10:51,400 Speaker 1: we had our own respective shows, which was the focused 195 00:10:51,440 --> 00:10:55,160 Speaker 1: protection that was described in the Great Barons and Declaration, 196 00:10:55,160 --> 00:10:57,920 Speaker 1: which of course the corporate democrat media buried, you know, 197 00:10:58,920 --> 00:11:02,480 Speaker 1: you know, as far as far underground as they possibly could, attacked, undermined. 198 00:11:03,320 --> 00:11:06,079 Speaker 1: If they did that and we could all then see, 199 00:11:06,240 --> 00:11:10,079 Speaker 1: well it's basically working, and it probably would have worked 200 00:11:10,080 --> 00:11:13,240 Speaker 1: all along, then there would be this recognition of what 201 00:11:13,280 --> 00:11:16,520 Speaker 1: the heck was all this masking and social distancing and 202 00:11:16,679 --> 00:11:21,240 Speaker 1: lysol your groceries and put up the plexiglass dividers and 203 00:11:21,400 --> 00:11:26,040 Speaker 1: mask up between bites, all of this lunacy. To anybody 204 00:11:26,080 --> 00:11:30,080 Speaker 1: who still has a functioning brain, they would say, why 205 00:11:30,120 --> 00:11:32,559 Speaker 1: the heck did they put the experts and Fauci and 206 00:11:32,559 --> 00:11:34,680 Speaker 1: the rest put us through all this stuff? We could 207 00:11:34,720 --> 00:11:38,640 Speaker 1: have just done what we basically do for flu, which 208 00:11:38,760 --> 00:11:41,480 Speaker 1: is protect those who are vulnerable, get them the shot. 209 00:11:41,679 --> 00:11:44,040 Speaker 1: You know, they keep saying, oh, the unvaccine are so 210 00:11:44,120 --> 00:11:47,360 Speaker 1: much more likely to Well, if we had gotten every 211 00:11:47,360 --> 00:11:51,079 Speaker 1: single senior over sixty five vaccinated based on their numbers, 212 00:11:51,360 --> 00:11:53,240 Speaker 1: what would the death count actually be over the last 213 00:11:53,280 --> 00:11:56,960 Speaker 1: six months. I'd be very curious to see that mathematical extrapolation, 214 00:11:57,280 --> 00:12:01,320 Speaker 1: because we know from the data very you people who 215 00:12:01,320 --> 00:12:02,960 Speaker 1: are under the age of sixty five or at a 216 00:12:03,000 --> 00:12:05,400 Speaker 1: real risk of mortality from this unless they have a 217 00:12:05,520 --> 00:12:07,560 Speaker 1: risk of mortality from any number of viruses because they 218 00:12:07,559 --> 00:12:11,000 Speaker 1: have essentially a non functioning immune system, or you know, 219 00:12:11,040 --> 00:12:13,199 Speaker 1: you could also look at I think it's a professor 220 00:12:13,920 --> 00:12:17,480 Speaker 1: Unitis from I'm sorry, I never could get That's one 221 00:12:17,520 --> 00:12:19,640 Speaker 1: name I could never get. It's a tough one to pronounce. 222 00:12:19,679 --> 00:12:21,960 Speaker 1: I think he's at Stanford at Stanford stan for University, 223 00:12:22,000 --> 00:12:24,240 Speaker 1: who from the very beginning he looked at the what 224 00:12:24,360 --> 00:12:27,160 Speaker 1: was it, the Princess Cruise Line ship, Yes, which was 225 00:12:27,240 --> 00:12:29,640 Speaker 1: essentially a COVID Petrie dish, and said, look what the 226 00:12:29,679 --> 00:12:32,960 Speaker 1: mortality of this really is if you're under twenty. The 227 00:12:33,000 --> 00:12:35,800 Speaker 1: most recent study from this professor United's Who've been right 228 00:12:35,840 --> 00:12:38,760 Speaker 1: all along, by the way, about essentially all mortality data. 229 00:12:38,880 --> 00:12:40,679 Speaker 1: If you're under twenty, the chance of you dying from 230 00:12:40,679 --> 00:12:42,400 Speaker 1: the it's you have a ninety nine point I think 231 00:12:42,400 --> 00:12:47,600 Speaker 1: it's nine nine nine eight seven percent chance of surviving this. 232 00:12:48,000 --> 00:12:50,880 Speaker 1: I mean, this is now getting into I won't leave 233 00:12:50,920 --> 00:12:53,000 Speaker 1: my house as a twenty year old because I'm afraid 234 00:12:53,360 --> 00:12:55,280 Speaker 1: a brick is going to strike me in the forehead 235 00:12:55,280 --> 00:12:58,240 Speaker 1: and kill me territory, which does happen, by the way, 236 00:12:58,360 --> 00:13:00,920 Speaker 1: but no one worries about it. And that's what we've 237 00:13:00,920 --> 00:13:03,400 Speaker 1: been turned into as a society. If you're under twenty, 238 00:13:03,440 --> 00:13:05,160 Speaker 1: you're far more likely to be murdered or die in 239 00:13:05,160 --> 00:13:07,720 Speaker 1: a traffic accident college age kid than you are to 240 00:13:07,800 --> 00:13:09,959 Speaker 1: die of COVID, even if you get it. By the way. 241 00:13:10,000 --> 00:13:13,000 Speaker 1: Now's the time to save yourself some big money each month, 242 00:13:13,080 --> 00:13:15,480 Speaker 1: and it really isn't difficult to make it happen. Just 243 00:13:15,559 --> 00:13:18,280 Speaker 1: refile your mortgage. Even with all the talk and all 244 00:13:18,280 --> 00:13:21,000 Speaker 1: the advertising about lower interest rates, only a third of 245 00:13:21,040 --> 00:13:24,040 Speaker 1: homeowners have taken the time to investigate whether they can 246 00:13:24,080 --> 00:13:26,920 Speaker 1: save big money. You're not alone if you haven't moved 247 00:13:26,920 --> 00:13:30,280 Speaker 1: on this money saving idea. But now's the time before 248 00:13:30,400 --> 00:13:33,720 Speaker 1: rates go any higher. You can make up to for 249 00:13:33,760 --> 00:13:37,240 Speaker 1: your family a thousand dollars in monthly savings. Think about 250 00:13:37,240 --> 00:13:40,680 Speaker 1: twelve thousand dollars a year, and what could happen for you? 251 00:13:40,679 --> 00:13:43,600 Speaker 1: You could even skip two mortgage payments, allow you to 252 00:13:43,640 --> 00:13:46,640 Speaker 1: defray the cost and put your financial house back in order, 253 00:13:46,679 --> 00:13:49,720 Speaker 1: and you can close in as fast as ten days. 254 00:13:50,040 --> 00:13:52,760 Speaker 1: All you have to do is call buck what's the number? 255 00:13:53,280 --> 00:13:58,480 Speaker 1: American Financing folks, I've used them, Amazing customer service, seamless process, 256 00:13:58,640 --> 00:14:02,200 Speaker 1: great rates. NY care about saving you money? Eight hundred 257 00:14:02,320 --> 00:14:05,640 Speaker 1: seven seven seven eighty one O nine. That's eight hundred 258 00:14:05,720 --> 00:14:09,400 Speaker 1: seven seven seven eighty one O nine. Or visit American 259 00:14:09,480 --> 00:14:13,480 Speaker 1: Financing dot net. American Financing MLS one eight two three 260 00:14:13,640 --> 00:14:21,120 Speaker 1: three four MLS Consumer Access dot Org. Welcome back in 261 00:14:21,240 --> 00:14:23,200 Speaker 1: m clay Travis buck Sexton show. Hope all of you 262 00:14:23,280 --> 00:14:28,080 Speaker 1: are having a fantastic Tuesday. We're just talking about the crazy, 263 00:14:28,160 --> 00:14:31,400 Speaker 1: upside down world that we now live in. Possibility, the 264 00:14:31,440 --> 00:14:33,840 Speaker 1: Supreme Court is going to issue a ruling whether or 265 00:14:33,840 --> 00:14:35,800 Speaker 1: not they're going to grant a stay on the Biden 266 00:14:35,920 --> 00:14:40,040 Speaker 1: vaccine mandate of eighty four million people. But right now 267 00:14:40,400 --> 00:14:44,720 Speaker 1: it's worth conceptualizing what the Supreme Court is being asked 268 00:14:45,000 --> 00:14:48,560 Speaker 1: to endorse in many ways, and it's the power of 269 00:14:48,680 --> 00:14:52,920 Speaker 1: Joe Biden to mandate almost all of you get a 270 00:14:52,920 --> 00:14:57,040 Speaker 1: COVID vaccine that the CEO of Fiser himself is saying 271 00:14:57,400 --> 00:14:59,600 Speaker 1: isn't working. And if you're out there saying, well, at 272 00:14:59,640 --> 00:15:04,280 Speaker 1: least got nine of the smartest people on the planet 273 00:15:04,280 --> 00:15:07,560 Speaker 1: who are Supreme Court justices to analyze the data. As 274 00:15:07,560 --> 00:15:11,560 Speaker 1: we talked about with you on Friday, Sonia Sotomayor, the 275 00:15:11,640 --> 00:15:15,040 Speaker 1: Supreme Court justice, said that there was over a hundred 276 00:15:15,160 --> 00:15:20,320 Speaker 1: thousand kids in severe health issues, many of them on ventilators, 277 00:15:20,600 --> 00:15:24,480 Speaker 1: which is one hundred billion percent not true. But truth 278 00:15:24,640 --> 00:15:28,600 Speaker 1: doesn't matter in our post truth world. One of the 279 00:15:28,640 --> 00:15:32,360 Speaker 1: idiot hosts of the View decided that she needed to 280 00:15:32,400 --> 00:15:37,800 Speaker 1: defend Supreme Court Justice Sotomayor. This is Sunny host in Hosten. 281 00:15:37,880 --> 00:15:40,480 Speaker 1: I'm not even sure what her last name is, defending 282 00:15:40,840 --> 00:15:46,760 Speaker 1: that completely not true statement made by Justice Sodomayor because 283 00:15:47,040 --> 00:15:49,640 Speaker 1: her narrative was right. Listen, Well, first, I just want 284 00:15:49,680 --> 00:15:52,520 Speaker 1: to reframe this a little bit about Justice Soltomayor, because 285 00:15:53,320 --> 00:15:56,440 Speaker 1: while you know she may not be accurate for current 286 00:15:56,520 --> 00:16:00,960 Speaker 1: hospitalizations in children, she is correct that we have more 287 00:16:01,040 --> 00:16:05,920 Speaker 1: children in the hospital now, more than ever before, and 288 00:16:06,040 --> 00:16:08,760 Speaker 1: it certainly reflects the current cases in children right now, 289 00:16:08,800 --> 00:16:12,680 Speaker 1: we have eighty two eight hundred and forty three children 290 00:16:12,920 --> 00:16:15,680 Speaker 1: are sick with with COVID. More than a thousand children 291 00:16:15,760 --> 00:16:19,800 Speaker 1: have died from the virus, and in addition, about seven 292 00:16:19,840 --> 00:16:24,280 Speaker 1: point eight million children have caught COVID since the pandemic started, 293 00:16:24,400 --> 00:16:27,320 Speaker 1: and so so that that those are just just the numbers. 294 00:16:27,320 --> 00:16:30,200 Speaker 1: And so while fewer than eighty three thousand kids have 295 00:16:30,280 --> 00:16:32,960 Speaker 1: been hospitalized with the virus, we have kids sick with 296 00:16:33,040 --> 00:16:35,160 Speaker 1: COVID more than we ever have before. And so that's 297 00:16:35,200 --> 00:16:37,720 Speaker 1: a real thing, and those are real numbers. There's so 298 00:16:37,800 --> 00:16:40,960 Speaker 1: much wrong that it's not enough to just say it's wrong. Play. 299 00:16:41,000 --> 00:16:42,840 Speaker 1: There's so many things. First of all, this would be 300 00:16:42,880 --> 00:16:45,800 Speaker 1: like saying, you know, if you owed me five dollars, 301 00:16:45,840 --> 00:16:48,280 Speaker 1: and I around saying you owed me ten million dollars. Yeah, 302 00:16:48,280 --> 00:16:50,280 Speaker 1: this is not it's not Oh well, I said you right, 303 00:16:50,520 --> 00:16:54,600 Speaker 1: he owes me money. The scale is the whole point, right, 304 00:16:54,640 --> 00:16:58,560 Speaker 1: The scale of the problem is how you're driving policy 305 00:16:58,600 --> 00:17:01,160 Speaker 1: solutions one way or the other. And first of all, 306 00:17:01,160 --> 00:17:03,760 Speaker 1: the thousand children have died that that's not even true. 307 00:17:03,920 --> 00:17:06,000 Speaker 1: That's not what the that's not what. The numbers are, 308 00:17:06,200 --> 00:17:09,680 Speaker 1: the numbers of cases of kids, kids, This thing bounces 309 00:17:09,720 --> 00:17:14,000 Speaker 1: off them for the most and yet here we are. 310 00:17:14,160 --> 00:17:17,760 Speaker 1: It's crazy and buck that the actual numbers for people 311 00:17:17,800 --> 00:17:23,920 Speaker 1: out there. There's around three thousand kids currently hospitalized with COVID. 312 00:17:24,480 --> 00:17:26,440 Speaker 1: That means, you know, there are tons of kids I 313 00:17:26,480 --> 00:17:29,800 Speaker 1: wish it didn't happen, hospitalized with all sorts of illnesses 314 00:17:29,880 --> 00:17:33,160 Speaker 1: all over the country. But there are only three thousand 315 00:17:33,280 --> 00:17:36,320 Speaker 1: kids right now hospitalized with COVID. Most of those cases 316 00:17:36,520 --> 00:17:39,640 Speaker 1: are not remotely severe, because, as we talked about earlier, 317 00:17:39,920 --> 00:17:43,320 Speaker 1: they're there with COVID, not because of COVID. There might 318 00:17:43,320 --> 00:17:45,600 Speaker 1: not be one hundred kids right now in the whole 319 00:17:45,720 --> 00:17:49,080 Speaker 1: United States that are severely hospitalized with COVID. Do you 320 00:17:49,080 --> 00:17:52,520 Speaker 1: remember when we used to actually care about psurology testing 321 00:17:52,560 --> 00:17:55,879 Speaker 1: for natural immunity. It lasted about three months for this 322 00:17:55,920 --> 00:17:59,119 Speaker 1: pandemic from the health authorities. The percentage of children that 323 00:17:59,160 --> 00:18:00,760 Speaker 1: have already been exposed to COVID, if we got a 324 00:18:00,800 --> 00:18:04,679 Speaker 1: real number, would blow people's minds, no doubt. You know 325 00:18:04,680 --> 00:18:06,520 Speaker 1: it also blow up people's minds how much money you 326 00:18:06,560 --> 00:18:09,199 Speaker 1: can say with the save with the right cell phone 327 00:18:09,640 --> 00:18:12,280 Speaker 1: deal you get hooked up right now with pure Talk. 328 00:18:12,359 --> 00:18:15,040 Speaker 1: All you have to do is recognize they use the 329 00:18:15,080 --> 00:18:18,280 Speaker 1: same towers, exact same five G network as all of 330 00:18:18,280 --> 00:18:22,040 Speaker 1: those big companies that spend tons of money supporting the 331 00:18:22,119 --> 00:18:24,879 Speaker 1: left wing causes. You can spend your money with a 332 00:18:25,040 --> 00:18:28,480 Speaker 1: US veteran run business, entire team of employees for pure Talk, 333 00:18:28,800 --> 00:18:32,360 Speaker 1: all here in the US, and you can save as 334 00:18:32,440 --> 00:18:35,000 Speaker 1: much as half of what your current cell phone bill is. 335 00:18:35,200 --> 00:18:37,480 Speaker 1: How do you sign up? Get your cell phones right now? 336 00:18:37,800 --> 00:18:41,280 Speaker 1: Dial pound two fifty say pure Talk, and you'll save 337 00:18:41,320 --> 00:18:44,920 Speaker 1: an additional fifty percent off your first month. Dial pound 338 00:18:45,080 --> 00:18:48,919 Speaker 1: two five zero say pure Talk. That's pound two five zero. 339 00:18:53,440 --> 00:18:56,280 Speaker 1: Welcome back into the Clay Travison Buck Sexton show. We 340 00:18:56,440 --> 00:19:00,359 Speaker 1: have with us now Senator Ron Johnson, of which Johnson, 341 00:19:00,400 --> 00:19:03,720 Speaker 1: Senator Johnson always great to have you, sir. Well, guys, 342 00:19:03,760 --> 00:19:06,119 Speaker 1: hope you're doing well. Let's just start with this. You know, 343 00:19:06,200 --> 00:19:09,280 Speaker 1: you have some colleagues up on Capitol Hill this morning 344 00:19:09,480 --> 00:19:14,840 Speaker 1: getting testimony from Rochelle Wilenski double masked I might add 345 00:19:15,000 --> 00:19:20,040 Speaker 1: doctor Faucci masked when he's not answering, unmasked when he 346 00:19:20,240 --> 00:19:23,560 Speaker 1: is answering. They're trying to tell us and convince the 347 00:19:23,560 --> 00:19:27,560 Speaker 1: public that they pretty much expected all this. They're in control, 348 00:19:27,680 --> 00:19:30,760 Speaker 1: they have the answers. What do you think, because it 349 00:19:30,840 --> 00:19:32,919 Speaker 1: really is actually up to the political apparatus to make 350 00:19:32,960 --> 00:19:35,840 Speaker 1: these decisions, and Faucci shouldn't be calling all the shots 351 00:19:35,840 --> 00:19:40,560 Speaker 1: as the policies are well, Fausci is a science so 352 00:19:41,080 --> 00:19:43,000 Speaker 1: I know we're not we're not supposed to question him 353 00:19:43,000 --> 00:19:44,800 Speaker 1: at all. But I mean, let's face you, guys, eight 354 00:19:44,840 --> 00:19:48,199 Speaker 1: hundred and thirty five thousand Americans dead, we still have 355 00:19:48,480 --> 00:19:53,280 Speaker 1: really no approved early treatments from from those clowns, and 356 00:19:54,320 --> 00:19:58,080 Speaker 1: best being kind to them, that has been the greatest travesty. 357 00:19:58,480 --> 00:20:00,800 Speaker 1: But when there literally is a cornic hope you of 358 00:20:00,920 --> 00:20:05,800 Speaker 1: drugs cheap, generic, widely available drugs that is effective. Not 359 00:20:05,960 --> 00:20:09,040 Speaker 1: just Ira Mexican hydraslorquin. There's there's a host of others. 360 00:20:09,440 --> 00:20:12,800 Speaker 1: There's different stages to this disease. And so there are 361 00:20:12,880 --> 00:20:15,760 Speaker 1: doctors that have had the courage and compassion to treat COVID. 362 00:20:16,240 --> 00:20:20,159 Speaker 1: Had more doctors had their eyes opened, had these agencies 363 00:20:20,280 --> 00:20:24,520 Speaker 1: led and researched and recommended these drugs, hundreds of thousands 364 00:20:24,520 --> 00:20:27,320 Speaker 1: Americans would be alive today. They didn't have to die. 365 00:20:27,560 --> 00:20:31,560 Speaker 1: So that's the real travesty. And I hope Fauci and 366 00:20:31,680 --> 00:20:35,240 Speaker 1: the Biden administration and Collins and will Unski I hold 367 00:20:35,240 --> 00:20:38,000 Speaker 1: them accountable for that. And oh, by the way, the 368 00:20:38,040 --> 00:20:43,119 Speaker 1: other thing, they're ignoring natural immunity plus vaccine injuries. The 369 00:20:43,200 --> 00:20:46,199 Speaker 1: veyor's report, this is their data, not mine. The veyor's report. 370 00:20:46,680 --> 00:20:51,639 Speaker 1: We received a million adversary events on the COVID vaccines. 371 00:20:51,920 --> 00:20:54,680 Speaker 1: Twenty one thousand, three hundred, twenty three hundred and eighty 372 00:20:54,680 --> 00:20:58,479 Speaker 1: two deaths report on veyors associated with the vaccines. Now, 373 00:20:58,480 --> 00:21:01,400 Speaker 1: again it doesn't prove causation, but it's something they ought 374 00:21:01,400 --> 00:21:05,000 Speaker 1: to be concerned about and they're not. So they haven't 375 00:21:05,040 --> 00:21:09,280 Speaker 1: been transparent, they haven't been honest. Their response to COVID 376 00:21:09,320 --> 00:21:16,160 Speaker 1: has been a miserable failure. The lost learning, the human told, 377 00:21:16,200 --> 00:21:21,360 Speaker 1: the economic devastation of their shutdowns. No, they're not the science. 378 00:21:21,600 --> 00:21:26,199 Speaker 1: Science questions. Science is skeptical. Science is always searching for 379 00:21:26,280 --> 00:21:29,600 Speaker 1: better answers. They haven't. They've had one. They've had one 380 00:21:29,640 --> 00:21:32,800 Speaker 1: solution of this vaccine, vaccine, vaccine. I know it's put 381 00:21:32,800 --> 00:21:35,920 Speaker 1: a lot of money in big farmers pockets. The other 382 00:21:35,920 --> 00:21:37,760 Speaker 1: solutions now are going to be I hope by the 383 00:21:37,760 --> 00:21:40,840 Speaker 1: way these drugs work. I have my doubts, but the 384 00:21:40,840 --> 00:21:43,720 Speaker 1: therapy is now that they're promoting Fizer and Mercs five 385 00:21:43,840 --> 00:21:46,280 Speaker 1: hundred and seven hundred bucks of versus again the chief 386 00:21:46,320 --> 00:21:49,760 Speaker 1: generic drugs. They have not had solutions. Their response has 387 00:21:49,800 --> 00:21:53,719 Speaker 1: been a miserable failure. They should be held accountable. Senator Johnson, 388 00:21:53,720 --> 00:21:56,080 Speaker 1: you're running for reelection. Thank you for doing that. I 389 00:21:56,119 --> 00:21:59,040 Speaker 1: think the people of Wisconsin need your voice. Would you 390 00:21:59,080 --> 00:22:01,679 Speaker 1: be running for real action if COVID hadn't happened, or 391 00:22:01,720 --> 00:22:04,160 Speaker 1: do you think the dishonesty that you have seen from 392 00:22:04,160 --> 00:22:07,480 Speaker 1: COVID since twenty twenty Because I think your initial plan 393 00:22:07,680 --> 00:22:10,120 Speaker 1: was to retire. Has that been one of the prompting 394 00:22:10,200 --> 00:22:14,360 Speaker 1: reasons why you feel the need to continue. Yeah, there's 395 00:22:14,400 --> 00:22:18,080 Speaker 1: no doubt about that's a really big factor. Again, the dishonesty, 396 00:22:18,160 --> 00:22:20,639 Speaker 1: the lack of transparency of these agencies. But that's just 397 00:22:20,680 --> 00:22:23,919 Speaker 1: the loss of competence, the legitimate loss of confidence we 398 00:22:23,960 --> 00:22:27,040 Speaker 1: have in these institutions, whether it's the FBI and their 399 00:22:27,440 --> 00:22:31,080 Speaker 1: corrupt investigation, the Partment Justice, now their health agencies, the 400 00:22:31,200 --> 00:22:37,280 Speaker 1: legacy media, big tech, social media has censored early treatment no, 401 00:22:37,400 --> 00:22:42,480 Speaker 1: I mean, and just basically democratic governance. I mean, I 402 00:22:42,560 --> 00:22:45,920 Speaker 1: actually appreciated President Biden in his inauguration saying his number 403 00:22:45,920 --> 00:22:50,080 Speaker 1: one goal was healing and unifying this nation. He hasn't 404 00:22:50,119 --> 00:22:52,800 Speaker 1: done that. Just about everything he's done is further divided 405 00:22:52,840 --> 00:22:56,919 Speaker 1: this nation. So when I ran in twenty sixteen, America 406 00:22:57,000 --> 00:23:00,639 Speaker 1: looked completely different. Now it really it does feel like 407 00:23:00,640 --> 00:23:03,800 Speaker 1: this nation's being torn apart. I'm in a position or 408 00:23:03,880 --> 00:23:07,160 Speaker 1: I think I can help improve things, make Americas, say 409 00:23:07,200 --> 00:23:09,639 Speaker 1: for more secure. That in the end is why I 410 00:23:09,720 --> 00:23:12,120 Speaker 1: decided to run again, because I think I can help 411 00:23:12,240 --> 00:23:15,840 Speaker 1: improve things. Senator Ron Johnson of Wisconsin with US now, 412 00:23:15,880 --> 00:23:18,280 Speaker 1: and as we just discussed, he is running for reelection. 413 00:23:18,760 --> 00:23:21,720 Speaker 1: Senator Johnson, do you think that some of your Democrat 414 00:23:21,800 --> 00:23:26,520 Speaker 1: colleagues on the Senate are starting to recognize that what 415 00:23:26,640 --> 00:23:29,439 Speaker 1: has been done up to this point is in fact 416 00:23:29,520 --> 00:23:33,879 Speaker 1: heavy handed, often counterproductive, and often ineffective when it comes 417 00:23:33,880 --> 00:23:37,920 Speaker 1: to the Fauciite regime. Do you think that there's an 418 00:23:37,920 --> 00:23:42,200 Speaker 1: awakening given the massive failure of the vaccines to stop 419 00:23:42,240 --> 00:23:46,439 Speaker 1: the spread. That's a separate issue than individual protection. Our 420 00:23:46,520 --> 00:23:49,560 Speaker 1: democrats starting to, even quietly behind closed doors, say to you, 421 00:23:50,320 --> 00:23:51,959 Speaker 1: we might need to start to figure out a way 422 00:23:52,000 --> 00:23:54,200 Speaker 1: to stop panicking all the time. Or do they view 423 00:23:54,200 --> 00:23:58,440 Speaker 1: this as too politically useful. I haven't seen it again 424 00:23:58,440 --> 00:24:00,840 Speaker 1: that they're all walking around with man even if they're 425 00:24:00,920 --> 00:24:06,320 Speaker 1: double vast plus boosted or even had the disease. Don't 426 00:24:06,359 --> 00:24:08,359 Speaker 1: I don't wear a mask unless I'm absolutely forced to 427 00:24:08,480 --> 00:24:11,000 Speaker 1: because I had COVID and I feel well. If I 428 00:24:11,040 --> 00:24:13,920 Speaker 1: didn't feel well, I wouldn't I would be walking around. 429 00:24:13,960 --> 00:24:17,240 Speaker 1: I'd stay home. I wouldn't, you know, I would expose 430 00:24:17,320 --> 00:24:20,040 Speaker 1: people to whatever I have. But no, I don't see 431 00:24:20,080 --> 00:24:23,040 Speaker 1: that in terms of Democrats, in terms of coming to 432 00:24:23,960 --> 00:24:27,399 Speaker 1: the reality that this response has been a miserable failure, 433 00:24:27,400 --> 00:24:30,160 Speaker 1: and maybe, maybe, just maybe we should have promoted things 434 00:24:30,160 --> 00:24:33,399 Speaker 1: like early treatment that could have saved lives. Senator Johnson, 435 00:24:33,400 --> 00:24:34,960 Speaker 1: what are you seeing from the data? I remember when 436 00:24:34,960 --> 00:24:38,120 Speaker 1: you were on with us before, like maybe a month 437 00:24:38,119 --> 00:24:40,480 Speaker 1: ago or so, you talked about who was dying with 438 00:24:40,600 --> 00:24:45,480 Speaker 1: COVID in the UK, the vaccinated people. There's better data 439 00:24:45,600 --> 00:24:48,000 Speaker 1: out of the UK and out of Israel, which is 440 00:24:48,040 --> 00:24:50,960 Speaker 1: an indictment of our CDC and also our scientific institutions 441 00:24:50,960 --> 00:24:53,600 Speaker 1: in general. What are the latest numbers that you are 442 00:24:53,680 --> 00:24:56,880 Speaker 1: seeing and reviewing. I'm sure you saw CNN suddenly say, oh, 443 00:24:56,920 --> 00:24:59,639 Speaker 1: it turns out a lot of people are hospitalized with 444 00:24:59,760 --> 00:25:02,640 Speaker 1: co as opposed to because of COVID. What's the data 445 00:25:02,800 --> 00:25:06,520 Speaker 1: look like in Israel in the UK. But let's just 446 00:25:06,560 --> 00:25:09,320 Speaker 1: take a look at America's. You know, death per one 447 00:25:09,359 --> 00:25:11,439 Speaker 1: hundred thousand word about two hundred and forty eight is 448 00:25:11,480 --> 00:25:14,640 Speaker 1: about a week ago, two hundred and eighty forty two 449 00:25:14,680 --> 00:25:17,160 Speaker 1: hundred and eighty four people per hundred thousand have died 450 00:25:17,160 --> 00:25:21,520 Speaker 1: in Sweden, remember everybody attacked Sweden. It's one hundred forty eight, 451 00:25:21,960 --> 00:25:24,760 Speaker 1: one hundred deaths, one hundred deaths less per hundred thousand 452 00:25:24,760 --> 00:25:27,920 Speaker 1: than in America. And by the way, there's kids all 453 00:25:27,960 --> 00:25:30,800 Speaker 1: went to school, they didn't wear masks. Not one point 454 00:25:30,880 --> 00:25:35,520 Speaker 1: eight million Swedish children, not one died from COVID. We've 455 00:25:35,520 --> 00:25:38,440 Speaker 1: had five hundred and twenty million doses of the vaccine, 456 00:25:39,119 --> 00:25:42,280 Speaker 1: two hundred eight million Americans are fully vast and the 457 00:25:42,280 --> 00:25:46,359 Speaker 1: pandemics not over. Does that tell you something. We have 458 00:25:46,440 --> 00:25:49,879 Speaker 1: reports out of Denmark where you actually have potentially reversed 459 00:25:49,960 --> 00:25:54,560 Speaker 1: ficacy negative ethics c after about ninety days with a vaccine. 460 00:25:55,000 --> 00:25:57,879 Speaker 1: So the doctors I've been in touch with since the 461 00:25:57,920 --> 00:26:02,720 Speaker 1: beginning have always been concerned about mass vaccination into in 462 00:26:02,760 --> 00:26:05,680 Speaker 1: the midst of a pandemic. Could that be driving variants 463 00:26:05,760 --> 00:26:08,760 Speaker 1: that evade the vaccine? What's happening? You know, there's so 464 00:26:08,840 --> 00:26:12,080 Speaker 1: much we still don't know about the coronavirus, the vaccines, 465 00:26:12,640 --> 00:26:16,520 Speaker 1: and COVID is a disease. It would I would urge 466 00:26:16,560 --> 00:26:20,040 Speaker 1: modesty in terms of what people all their pronouncements, and 467 00:26:20,200 --> 00:26:24,920 Speaker 1: quite honestly, it would urge caution as well. There nobody, 468 00:26:25,040 --> 00:26:29,199 Speaker 1: nobody can tell you the long term safety profile of 469 00:26:29,240 --> 00:26:32,920 Speaker 1: the vaccines. Nobody can. And when you have these type 470 00:26:32,960 --> 00:26:36,040 Speaker 1: of safety signals on theirs, to keep pushing this on 471 00:26:36,280 --> 00:26:39,160 Speaker 1: children when we do know the science does tell us 472 00:26:39,200 --> 00:26:42,960 Speaker 1: they have an incredibly small risk and almost no risk 473 00:26:43,480 --> 00:26:46,200 Speaker 1: of serious injury or death from COVID, and yet we're 474 00:26:46,240 --> 00:26:51,119 Speaker 1: pushing an experimental vaccine on our children. There's something really 475 00:26:51,160 --> 00:26:53,760 Speaker 1: wrong about that. Now for the vulnerable, listen, I'm the 476 00:26:53,840 --> 00:26:56,159 Speaker 1: champion right to try. I'm not anti vaccine. Is a 477 00:26:56,160 --> 00:26:58,679 Speaker 1: big support of Operation Work Speed. But then you have 478 00:26:58,760 --> 00:27:02,280 Speaker 1: to look at what the result is, and the result 479 00:27:02,400 --> 00:27:04,760 Speaker 1: is not what we wanted to see. It's not as effective, 480 00:27:04,760 --> 00:27:09,159 Speaker 1: it's not as safe, it would urge caution. Where's the 481 00:27:09,200 --> 00:27:11,600 Speaker 1: caution coming out of by the administration, out of Fauci, 482 00:27:11,640 --> 00:27:14,400 Speaker 1: out of Willinski, out of Cownds. There is them. They've 483 00:27:14,440 --> 00:27:18,240 Speaker 1: had a single, single approach to this vaccine, vaccine, vaccine 484 00:27:18,640 --> 00:27:20,560 Speaker 1: or whatever. We'll put a lot of money in big 485 00:27:20,600 --> 00:27:25,080 Speaker 1: farmer's pockets, you know everything else they're pushing our novel 486 00:27:25,400 --> 00:27:31,439 Speaker 1: expensive drugs and they've completely ignored cheap, generic, widely available drugs. 487 00:27:31,520 --> 00:27:33,720 Speaker 1: This has been a travesty. This this is a scandal. 488 00:27:34,160 --> 00:27:37,719 Speaker 1: Senator Ron Johnson and Wisconsin Senator appreciate you joining us 489 00:27:37,720 --> 00:27:40,439 Speaker 1: here on Claimbuck. Thanks so much. Can I mention my 490 00:27:40,480 --> 00:27:43,000 Speaker 1: website Ron Johnson for Senate dot Com. I'm going to 491 00:27:43,040 --> 00:27:45,679 Speaker 1: need a lot of help Ron Johnson for Senate dot Com. 492 00:27:45,800 --> 00:27:48,359 Speaker 1: There we go, thanks again in the election, sir, thanks 493 00:27:48,359 --> 00:27:52,560 Speaker 1: for running. Take care too. Many Americans suffer from chronic pain, 494 00:27:52,720 --> 00:27:55,120 Speaker 1: that everyday experience of waking up with pain that comes 495 00:27:55,160 --> 00:27:58,280 Speaker 1: as a result of aging, exercise, over exertion, or just 496 00:27:58,600 --> 00:28:01,400 Speaker 1: everyday living. There's a solution, though, and a proven one 497 00:28:01,400 --> 00:28:04,600 Speaker 1: at that. It's called relief Factor. Created by doctors and 498 00:28:04,640 --> 00:28:08,560 Speaker 1: perfected over fifteen years of scientific research, relief Factor was 499 00:28:08,680 --> 00:28:11,960 Speaker 1: made for you with four key ingredients. Relief Factor is 500 00:28:11,960 --> 00:28:16,680 Speaker 1: a one hundred percent drug free product which addresses joint pain, knee, hip, backneck, 501 00:28:16,800 --> 00:28:20,400 Speaker 1: and shoulder pain. Hundreds of thousands of people have ordered 502 00:28:20,400 --> 00:28:23,119 Speaker 1: relief Factor, and about seventy percent of them go on 503 00:28:23,160 --> 00:28:25,879 Speaker 1: to order more. This program and this product has gotten 504 00:28:25,920 --> 00:28:28,119 Speaker 1: more letters and more emails from people who have found 505 00:28:28,240 --> 00:28:31,560 Speaker 1: real success as a result of using relief Factor each day. 506 00:28:31,880 --> 00:28:33,919 Speaker 1: If you're currently in pain and you have a seven 507 00:28:33,920 --> 00:28:37,920 Speaker 1: and ten chance to eliminate it, those are pretty fantastic odds, right, Plus, 508 00:28:37,920 --> 00:28:39,560 Speaker 1: what do you have to lose? Clay, how do they 509 00:28:39,600 --> 00:28:41,880 Speaker 1: get hooked up? You can join the more than half 510 00:28:41,920 --> 00:28:44,600 Speaker 1: a million people and order the three week quickstart for 511 00:28:44,760 --> 00:28:47,800 Speaker 1: only nineteen ninety five. Go to relief Factor dot com 512 00:28:47,920 --> 00:28:50,520 Speaker 1: or call eight hundred the number four Relief to get 513 00:28:50,520 --> 00:28:53,880 Speaker 1: the nineteen ninety five three week quickstart developed four you 514 00:28:54,480 --> 00:28:56,840 Speaker 1: that's relief Factor dot Com or call eight hundred the 515 00:28:56,960 --> 00:29:06,520 Speaker 1: number four Relief Relief Factor. Feel the difference. Welcome back 516 00:29:06,560 --> 00:29:09,440 Speaker 1: in Clay Travis Buck Sexton Show. Appreciate all of you 517 00:29:09,760 --> 00:29:13,440 Speaker 1: hanging out with us. Buck. We got an interesting story 518 00:29:13,520 --> 00:29:16,160 Speaker 1: that's going to be playing out here a little bit 519 00:29:16,200 --> 00:29:19,080 Speaker 1: after we go off the air today, Joe Biden is 520 00:29:19,120 --> 00:29:24,160 Speaker 1: traveling to Georgia to talk about his attempt to get 521 00:29:24,280 --> 00:29:28,520 Speaker 1: new voting bills passed through the Senate by ending the filibuster. Now, 522 00:29:28,520 --> 00:29:32,120 Speaker 1: of course, at least ending the filibuster for purposes of 523 00:29:32,280 --> 00:29:36,479 Speaker 1: changing these laws which we talked about yesterday. I believe 524 00:29:37,120 --> 00:29:42,440 Speaker 1: the odds of these being legal, constitutional, and upheld based 525 00:29:42,480 --> 00:29:46,200 Speaker 1: on recent Supreme Court jurisprudence as it pertains to state 526 00:29:46,280 --> 00:29:50,240 Speaker 1: rights to manage federal elections very low. But they're trying 527 00:29:50,240 --> 00:29:53,959 Speaker 1: to send the message that after they dragged Biden across 528 00:29:54,000 --> 00:29:56,920 Speaker 1: the finished line, that it's a fundamental threat to our 529 00:29:56,960 --> 00:30:01,480 Speaker 1: democracy that all these states went back said, hey, let's 530 00:30:01,480 --> 00:30:05,480 Speaker 1: avoid the chaos that existed in the twenty twenty election 531 00:30:05,840 --> 00:30:09,480 Speaker 1: when basically all the rules got changed. Well, it's interesting 532 00:30:09,560 --> 00:30:12,960 Speaker 1: because Georgia is going to be a battleground and we've 533 00:30:13,000 --> 00:30:18,800 Speaker 1: talked about this buck where Stacy Abrams might have an 534 00:30:18,840 --> 00:30:22,720 Speaker 1: interesting opportunity here because if Biden's not going to run 535 00:30:22,720 --> 00:30:26,360 Speaker 1: in twenty four, then Kamala Harris would have to be 536 00:30:26,400 --> 00:30:29,840 Speaker 1: the nominee. Otherwise it would be racist or sexist of 537 00:30:29,880 --> 00:30:33,160 Speaker 1: the Democrats to not pick a black woman based on 538 00:30:33,240 --> 00:30:37,120 Speaker 1: their entire party platform, which is everything is racist. She 539 00:30:37,160 --> 00:30:40,400 Speaker 1: would clearly be the next person up for that job. 540 00:30:40,880 --> 00:30:46,280 Speaker 1: So Stacy Abrams said that she did not have time. 541 00:30:47,120 --> 00:30:50,520 Speaker 1: She had a schedule conflict, So she's not going to 542 00:30:50,560 --> 00:30:53,040 Speaker 1: be at Joe Biden's speech that he is doing in 543 00:30:53,080 --> 00:30:56,719 Speaker 1: Georgia's she's running for governor again. What do you think 544 00:30:56,760 --> 00:31:00,520 Speaker 1: about this buck? Is this a sign that Stacy Abrahams 545 00:31:00,520 --> 00:31:02,760 Speaker 1: maybe is angry that Joe Biden didn't pick her as 546 00:31:02,800 --> 00:31:05,520 Speaker 1: a nominee. Certainly, I think at minimum is a sign 547 00:31:05,600 --> 00:31:09,080 Speaker 1: that his overall approval ratings in the state of Georgia 548 00:31:09,160 --> 00:31:11,920 Speaker 1: are really low and she doesn't want to be photographed 549 00:31:11,960 --> 00:31:14,960 Speaker 1: with him or videoed with him. What's going on here. 550 00:31:15,520 --> 00:31:19,400 Speaker 1: I think there's an understanding that Joe Biden right now 551 00:31:19,800 --> 00:31:22,520 Speaker 1: doesn't bring much in the way of upside. He served 552 00:31:22,520 --> 00:31:24,840 Speaker 1: his purpose, Clay, We've talked about it here before, to 553 00:31:24,920 --> 00:31:28,640 Speaker 1: be a guy that people knew who was because he 554 00:31:28,760 --> 00:31:33,600 Speaker 1: was so mediocre, but also so known. He was somewhat 555 00:31:33,640 --> 00:31:36,960 Speaker 1: non threatening at a time when the country had gone 556 00:31:36,960 --> 00:31:41,000 Speaker 1: through the maximum, not just the actual problems of the 557 00:31:41,040 --> 00:31:44,960 Speaker 1: COVID virus, but then the mountains of unnecessary fear and 558 00:31:45,000 --> 00:31:47,480 Speaker 1: anxiety pole on top of that. So Biden served his purpose. 559 00:31:47,520 --> 00:31:50,600 Speaker 1: Then no one watches Joe Biden now and says, yeah, 560 00:31:50,640 --> 00:31:52,600 Speaker 1: I want that guy pushing for me. No One, no 561 00:31:52,640 --> 00:31:55,640 Speaker 1: one used Joe Biden and says, this is somebody who 562 00:31:56,240 --> 00:32:00,560 Speaker 1: is going to have a political capital that will transfer 563 00:32:00,720 --> 00:32:04,200 Speaker 1: to my aspirations. And that's what I think this really 564 00:32:04,240 --> 00:32:06,640 Speaker 1: is right now? Why why? I mean, we can answer 565 00:32:06,640 --> 00:32:10,160 Speaker 1: the question pretty obviously, what would Stacy Abrams gain right 566 00:32:10,200 --> 00:32:13,480 Speaker 1: now from having Joe Biden so close to her on 567 00:32:13,520 --> 00:32:16,720 Speaker 1: an issue like this when really people are already talking 568 00:32:16,720 --> 00:32:21,959 Speaker 1: about how maybe she steps into the limelight, so to speak, herself, 569 00:32:22,040 --> 00:32:24,880 Speaker 1: maybe she all of a sudden becomes which is amazing 570 00:32:24,960 --> 00:32:28,880 Speaker 1: she's never even won a statewide office. Right she's the 571 00:32:28,960 --> 00:32:32,880 Speaker 1: fake governor of Georgia, but that doesn't actually count, and 572 00:32:32,920 --> 00:32:36,000 Speaker 1: she wasn't even that close, Buck, She lost by fifty 573 00:32:36,040 --> 00:32:41,440 Speaker 1: thousand votes, so she's continued to refuse to concede, but 574 00:32:41,760 --> 00:32:44,880 Speaker 1: she's trying to run again as the governor. I just 575 00:32:44,920 --> 00:32:48,520 Speaker 1: think it's an incredible indictment of where Biden is as 576 00:32:48,600 --> 00:32:51,360 Speaker 1: the leader of the Democratic Party right now, that he's 577 00:32:51,400 --> 00:32:56,240 Speaker 1: going to Georgia and the most famous I would say, 578 00:32:56,320 --> 00:32:59,040 Speaker 1: Georgia politician, even though to your point, Buck, she hasn't 579 00:32:59,080 --> 00:33:02,840 Speaker 1: actually won an election. I think people recognize her name 580 00:33:02,920 --> 00:33:07,280 Speaker 1: more than they recognize us Off or Warnock, who were 581 00:33:07,280 --> 00:33:10,280 Speaker 1: the two guys who ended up getting elected to the Senate. 582 00:33:10,800 --> 00:33:13,440 Speaker 1: And it's a sign of how toxic Joe Biden is 583 00:33:13,640 --> 00:33:17,480 Speaker 1: that she won't even appear with him in the backyard, 584 00:33:17,800 --> 00:33:21,080 Speaker 1: in the backyard there of her state. Can I can 585 00:33:21,120 --> 00:33:23,080 Speaker 1: I do a little quick change of pace here for 586 00:33:23,160 --> 00:33:26,120 Speaker 1: second Clay to bring up something that we've had a 587 00:33:26,120 --> 00:33:29,920 Speaker 1: little discussion about, and that is our producer Ali told 588 00:33:30,000 --> 00:33:34,880 Speaker 1: us yesterday on our Karate Kid discussion that her name 589 00:33:35,240 --> 00:33:37,920 Speaker 1: because what was it again, that that the that he 590 00:33:37,960 --> 00:33:42,560 Speaker 1: says a kid used to be Alice Ali is so 591 00:33:42,720 --> 00:33:47,080 Speaker 1: popular from Karate Kid that now she becomes Ali becomes Ali. Well, 592 00:33:47,120 --> 00:33:49,920 Speaker 1: it was pointed out to me from their Sexton family lore, 593 00:33:50,040 --> 00:33:52,920 Speaker 1: and we have the video proof, folks, that my mother 594 00:33:53,800 --> 00:33:58,560 Speaker 1: appeared in a bubble Yum commercial with none other than 595 00:33:58,680 --> 00:34:03,800 Speaker 1: Ralph Macchio the Karate Kid in nineteen eighty one. Okay, 596 00:34:03,880 --> 00:34:07,040 Speaker 1: my mom, this is amazing. You shared the video with 597 00:34:07,160 --> 00:34:09,759 Speaker 1: us last night. It's it's but if you go to 598 00:34:09,840 --> 00:34:12,759 Speaker 1: klanbuck dot com, we actually right have the video up. 599 00:34:12,840 --> 00:34:15,399 Speaker 1: You can see my mom in a commercial that ran 600 00:34:15,520 --> 00:34:20,319 Speaker 1: nationally across America with the Karate Kid in nineteen eighty one. 601 00:34:20,440 --> 00:34:23,320 Speaker 1: She's the redhead on the left when it starts. I 602 00:34:23,320 --> 00:34:26,800 Speaker 1: think she's doing redhead in it. And yeah, Small World 603 00:34:26,840 --> 00:34:30,439 Speaker 1: Club was the height of your mom's acting career. Oh man, 604 00:34:30,560 --> 00:34:36,880 Speaker 1: she was commercial. My mom was in a movie Hallmark 605 00:34:36,920 --> 00:34:40,240 Speaker 1: Movie of the Week called Summer of My German Soldier, 606 00:34:40,280 --> 00:34:43,960 Speaker 1: I believe it was called. She was also in a 607 00:34:44,040 --> 00:34:49,040 Speaker 1: commercial with Jason Alexander before Seinfeld fame, but she was 608 00:34:49,080 --> 00:34:51,800 Speaker 1: a commercial with him. But the best that we have 609 00:34:51,920 --> 00:34:55,240 Speaker 1: for today is the bubble Yum commercial with Ralph Macchio. 610 00:34:55,760 --> 00:34:58,400 Speaker 1: So my mom was was in a commercial with the 611 00:34:58,440 --> 00:35:02,680 Speaker 1: Karate right before Karate at All when we had that conversationister, 612 00:35:02,920 --> 00:35:05,239 Speaker 1: my sister reminded me yesterday, my little sister, she sent 613 00:35:05,320 --> 00:35:07,440 Speaker 1: me the video. It's on YouTube. So we have it 614 00:35:07,520 --> 00:35:10,040 Speaker 1: up on on clanbuck dot com now though, so if 615 00:35:10,040 --> 00:35:13,560 Speaker 1: you want to see us, it's pretty remarkable. What a small, 616 00:35:13,840 --> 00:35:16,400 Speaker 1: small world it really is, Clay, You never know the 617 00:35:16,440 --> 00:35:18,759 Speaker 1: connections that are out there. Well, maybe she can come 618 00:35:18,760 --> 00:35:21,480 Speaker 1: back on the Uh you know Cobra Kai show. They 619 00:35:21,520 --> 00:35:26,080 Speaker 1: bring back a lot of sterling participants from Macchio and 620 00:35:26,360 --> 00:35:29,640 Speaker 1: Uh and uh and Johnny's life. I mean, maybe your 621 00:35:29,719 --> 00:35:33,560 Speaker 1: mom could have a a an ability to come back 622 00:35:33,600 --> 00:35:36,000 Speaker 1: on the show. Who do you have? All the characters 623 00:35:36,040 --> 00:35:40,000 Speaker 1: they've brought back, not including obviously Johnny and the Karate 624 00:35:40,120 --> 00:35:43,000 Speaker 1: Kid himself. Who are you the most? Who are the most? 625 00:35:43,040 --> 00:35:46,520 Speaker 1: Only on season one? But I loved the mom coming 626 00:35:46,520 --> 00:35:49,920 Speaker 1: back right like when the the mom. I thought the 627 00:35:50,000 --> 00:35:52,600 Speaker 1: Karate Kid mom was pretty fantastic. So I don't know, 628 00:35:52,719 --> 00:35:55,080 Speaker 1: spoiler alert, who else is going to be coming back, 629 00:35:55,560 --> 00:35:58,040 Speaker 1: but I loved when she showed up. I mean, I'm 630 00:35:58,040 --> 00:36:00,960 Speaker 1: assuming you've seen I'm sorry if spoiled Clay, but you're 631 00:36:00,960 --> 00:36:04,080 Speaker 1: too far behind her. When when John Crease comes back, 632 00:36:04,440 --> 00:36:07,279 Speaker 1: I knew he came back. Yeah, I mean he's he 633 00:36:07,400 --> 00:36:10,759 Speaker 1: steals the show sometimes. He is so good as the 634 00:36:10,840 --> 00:36:14,640 Speaker 1: bad guy. He's almost like Hans Gruber and Diehard level 635 00:36:14,719 --> 00:36:17,239 Speaker 1: good as a bad guy. Poor Hans Gruber. We just 636 00:36:17,280 --> 00:36:21,479 Speaker 1: lost him in the last year. Um so we Alan 637 00:36:21,560 --> 00:36:23,799 Speaker 1: Rickman was his name the actors. So we have coming 638 00:36:23,920 --> 00:36:27,080 Speaker 1: up here, Ted Cruise, Clay, You're gonna lead us into this. 639 00:36:27,080 --> 00:36:31,960 Speaker 1: One asks about FBI informants at January six, when it 640 00:36:32,000 --> 00:36:35,440 Speaker 1: actually happened, not the anniversary of doesn't get an answer. 641 00:36:35,719 --> 00:36:39,239 Speaker 1: We've also got the formation of a new DJ unit 642 00:36:39,280 --> 00:36:43,400 Speaker 1: looking into domestic terrorism. Got some things to unpack with you. 643 00:36:43,440 --> 00:36:49,400 Speaker 1: Clay's gonna lead us in just a moment. You're listening 644 00:36:49,440 --> 00:36:53,600 Speaker 1: to Clay, Travis and Buck Sexton fund the EIB Network.