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 --> 00:00:09,480 Speaker 1: Sexton Show podcast. Welcome in Monday edition Clay Travis Buck 3 00:00:09,560 --> 00:00:13,760 Speaker 1: Sexton Show. I hope all of you had fantastic weekends. 4 00:00:14,560 --> 00:00:17,880 Speaker 1: I did. NFL playoffs are set, we got the National 5 00:00:18,000 --> 00:00:21,840 Speaker 1: Championship game between Alabama and Georgia. To night's football heaven 6 00:00:21,920 --> 00:00:24,599 Speaker 1: for those of us out there who love football. It's 7 00:00:24,720 --> 00:00:32,880 Speaker 1: also Buck Sexton the Dark Ages for the Biden COVID regime. 8 00:00:33,640 --> 00:00:39,440 Speaker 1: Everything it feels like is falling apart for them, as 9 00:00:39,479 --> 00:00:44,080 Speaker 1: it pertains to the overall narrative of Joe Biden's entire 10 00:00:44,200 --> 00:00:48,639 Speaker 1: twenty twenty presidential campaign. He said, I'm gonna shut down 11 00:00:48,720 --> 00:00:52,479 Speaker 1: the virus. I'm not gonna shut down the economy, and 12 00:00:52,640 --> 00:00:57,480 Speaker 1: the virus is surging, and it feels like to me, Buck, 13 00:00:57,480 --> 00:01:00,320 Speaker 1: and I'm curious if you got this sense too. Ever, 14 00:01:00,360 --> 00:01:03,600 Speaker 1: since the Supreme Court arguments on Friday, which we talked 15 00:01:03,640 --> 00:01:07,200 Speaker 1: a lot about over the COVID vaccine mandate, that Biden 16 00:01:07,319 --> 00:01:11,040 Speaker 1: has lost control. Finally of the narrative, We've got a 17 00:01:11,080 --> 00:01:14,240 Speaker 1: couple eclips of Rochelle Willinski, the CDC director, that I'm 18 00:01:14,240 --> 00:01:16,440 Speaker 1: gonna get to in a moment but Buck, you're in 19 00:01:16,440 --> 00:01:19,279 Speaker 1: New York City, the place with basically the highest COVID 20 00:01:19,400 --> 00:01:23,720 Speaker 1: rate of infection once more, two years later, effectively after 21 00:01:23,800 --> 00:01:27,080 Speaker 1: March of twenty twenty. What is the vibe on the ground. 22 00:01:27,160 --> 00:01:30,160 Speaker 1: And do you also have the sense that I do 23 00:01:30,319 --> 00:01:33,760 Speaker 1: coming out of this weekend that basically the Biden White 24 00:01:33,760 --> 00:01:37,560 Speaker 1: House has just finally lost control of the COVID narrative 25 00:01:37,600 --> 00:01:40,560 Speaker 1: that they're trying to sell to the American public. The 26 00:01:40,680 --> 00:01:43,800 Speaker 1: narrative is in free fall. It's I mean to say 27 00:01:43,840 --> 00:01:47,360 Speaker 1: it's collapsing is one thing. I think it's actually going 28 00:01:47,400 --> 00:01:49,520 Speaker 1: in the other direction too. It's not just that people 29 00:01:49,960 --> 00:01:54,440 Speaker 1: are ceasing to believe a lot of what the established 30 00:01:54,480 --> 00:01:57,880 Speaker 1: consensus storyline is. They're saying they're starting to finally and 31 00:01:57,960 --> 00:02:00,240 Speaker 1: I think this is a good thing. Say wait a second, 32 00:02:00,320 --> 00:02:03,520 Speaker 1: how long have they been wrong about this? Why should 33 00:02:03,600 --> 00:02:07,240 Speaker 1: we trust this narrative going forward? Why should the apparatus 34 00:02:07,320 --> 00:02:09,720 Speaker 1: have so much control over our lives? Clay, it was 35 00:02:09,800 --> 00:02:13,160 Speaker 1: just bombshell after bombshell the last a few days with 36 00:02:13,240 --> 00:02:15,400 Speaker 1: what's being said, Because first of all, let's just all 37 00:02:15,400 --> 00:02:18,120 Speaker 1: take a step back. We've had this enormous fight over 38 00:02:18,200 --> 00:02:21,239 Speaker 1: mandates and in New York City. They implemented it the 39 00:02:21,280 --> 00:02:24,320 Speaker 1: federal government. Just to remind everybody is supposed to start, 40 00:02:24,360 --> 00:02:28,040 Speaker 1: I believe today the initial phase, although it's really a 41 00:02:28,080 --> 00:02:31,400 Speaker 1: phased in process of the ocean mandate. Right. That's why 42 00:02:31,440 --> 00:02:33,440 Speaker 1: we had the Supreme Court oral arguments, and this is 43 00:02:33,480 --> 00:02:36,320 Speaker 1: why there's the urgency of whether it be a stay. 44 00:02:36,440 --> 00:02:39,280 Speaker 1: So you're in the phase now where technically the federal 45 00:02:39,360 --> 00:02:42,400 Speaker 1: government is supposed to be forcing these shots into people's 46 00:02:42,520 --> 00:02:44,679 Speaker 1: arms or they can get a test every week and 47 00:02:44,760 --> 00:02:46,800 Speaker 1: be harassed forever and be masked up and you know, 48 00:02:46,960 --> 00:02:50,400 Speaker 1: or get fired. Right, that's where we are Clay. Up 49 00:02:50,440 --> 00:02:54,480 Speaker 1: to forty percent of COVID patients, according to Rochelle will 50 00:02:54,520 --> 00:02:58,080 Speaker 1: Lenski in the CDC in the hospital may be there 51 00:02:58,120 --> 00:03:00,400 Speaker 1: for other reasons. I mean, I know they have this audio, 52 00:03:00,440 --> 00:03:04,000 Speaker 1: but the numbers now are telling us what we've been 53 00:03:04,000 --> 00:03:07,560 Speaker 1: saying along, which is COVID is dangerous to a small 54 00:03:07,639 --> 00:03:11,680 Speaker 1: percentage of the overall US population. The vaccines do not 55 00:03:11,919 --> 00:03:14,360 Speaker 1: stop the spread. They've had to admit that. I mean, 56 00:03:14,360 --> 00:03:17,200 Speaker 1: that's obvious now. They do not stop the spread, and 57 00:03:17,240 --> 00:03:20,919 Speaker 1: they might be dramatically overcounting. The CDC might be dramatically 58 00:03:20,960 --> 00:03:26,040 Speaker 1: overcounting hospitalizations and deaths. Yes, and we're gonna play a 59 00:03:26,040 --> 00:03:28,960 Speaker 1: couple of these clips for you. I also there's a 60 00:03:29,080 --> 00:03:31,880 Speaker 1: great editorial I shared it. We're going to talk about 61 00:03:31,880 --> 00:03:34,440 Speaker 1: this too, because I think it ties in to this 62 00:03:34,600 --> 00:03:39,840 Speaker 1: overall crumbling foundation of the Biden COVID narrative on the 63 00:03:39,840 --> 00:03:43,800 Speaker 1: opinion page of the Wall Street Journal. Omicron makes Biden's 64 00:03:43,880 --> 00:03:46,960 Speaker 1: mandates obsolete. If you want to do a little reading 65 00:03:47,040 --> 00:03:49,839 Speaker 1: during a commercial break here and a little bit, we're 66 00:03:49,840 --> 00:03:52,400 Speaker 1: going to talk about that piece, which is written, by 67 00:03:52,400 --> 00:03:57,640 Speaker 1: the way, by a Nobel Prize winning physician, so it's 68 00:03:57,720 --> 00:04:01,680 Speaker 1: kind of a significant significant person to be writing that story. 69 00:04:01,720 --> 00:04:05,839 Speaker 1: But first, Rochelle will Lyinsky, it seems to me to 70 00:04:05,920 --> 00:04:11,240 Speaker 1: some extent, has been deputized as the official sudden truthteller. 71 00:04:11,320 --> 00:04:14,440 Speaker 1: Now she's not sharing data that you and I buck 72 00:04:14,480 --> 00:04:17,719 Speaker 1: haven't been talking about for a long time. But what's 73 00:04:17,839 --> 00:04:22,440 Speaker 1: landing here is this data is blowing people away, and 74 00:04:22,520 --> 00:04:26,400 Speaker 1: it's also making people realize stop and say, wait a minute, 75 00:04:27,040 --> 00:04:31,040 Speaker 1: why have we not known about this before? And what 76 00:04:31,200 --> 00:04:33,080 Speaker 1: else are they not telling us? Now, there are a 77 00:04:33,080 --> 00:04:36,240 Speaker 1: couple of different clips that I want to play here Friday. 78 00:04:36,400 --> 00:04:39,800 Speaker 1: Rochelle will Lyinsky went on Good Morning America and she 79 00:04:40,040 --> 00:04:43,400 Speaker 1: said that what we've talked about for a long time 80 00:04:43,680 --> 00:04:47,680 Speaker 1: that the people who are dying with COVID have four 81 00:04:48,040 --> 00:04:53,440 Speaker 1: or more comorbidities. Often listen to cut three of Rochelle 82 00:04:53,480 --> 00:04:57,039 Speaker 1: will Lyinsky, CDC Director Friday on Good Morning America. The 83 00:04:57,080 --> 00:05:01,520 Speaker 1: overwhelming number of debts, over seventy five occurred in people 84 00:05:01,560 --> 00:05:04,960 Speaker 1: who had at least four comorbidities. So really these are 85 00:05:05,200 --> 00:05:09,600 Speaker 1: people who were unwell to begin with. Okay, So this 86 00:05:09,680 --> 00:05:12,279 Speaker 1: is what we've been saying. If you are not well, 87 00:05:12,760 --> 00:05:15,920 Speaker 1: if you have a high level of obesity, you are 88 00:05:16,000 --> 00:05:20,000 Speaker 1: under particular risk from COVID. This has been data that 89 00:05:20,080 --> 00:05:23,240 Speaker 1: the CDC has been unwilling to share with the American 90 00:05:23,320 --> 00:05:26,800 Speaker 1: public on shows like Good Morning America, with people like 91 00:05:26,920 --> 00:05:30,640 Speaker 1: Rochelle Walinsky sharing it. So if you missed that, over 92 00:05:30,760 --> 00:05:34,599 Speaker 1: seventy five percent, she said, of deaths are occurring in 93 00:05:34,640 --> 00:05:38,599 Speaker 1: people with at least four comorbidities, and these people are 94 00:05:38,720 --> 00:05:43,080 Speaker 1: not well, she is saying, okay now. Also, she went 95 00:05:43,160 --> 00:05:48,040 Speaker 1: on Sunday with Brett Baer on Fox News Sunday and 96 00:05:48,120 --> 00:05:52,000 Speaker 1: she was asked directly what percentage of the people that 97 00:05:52,040 --> 00:05:57,799 Speaker 1: are counted as COVID deaths died from COVID, not with COVID. 98 00:05:58,240 --> 00:06:01,400 Speaker 1: Listen to this with I'm a crime, following that very carefully. 99 00:06:01,400 --> 00:06:04,240 Speaker 1: Our death registry, of course takes a few weeks to 100 00:06:05,080 --> 00:06:08,039 Speaker 1: and takes a few weeks to collect, and of course 101 00:06:08,080 --> 00:06:10,360 Speaker 1: Omicron has just been with us for a few weeks. 102 00:06:10,360 --> 00:06:13,839 Speaker 1: But those data will be forthcoming, all right. So really 103 00:06:13,880 --> 00:06:16,720 Speaker 1: the question there is an important part from Brett Bayer too, 104 00:06:16,720 --> 00:06:19,279 Speaker 1: because he says directly, buck, hey, there's eight hundred and 105 00:06:19,320 --> 00:06:22,640 Speaker 1: thirty five thousand deaths that are attributed to COVID, how 106 00:06:22,680 --> 00:06:26,640 Speaker 1: many of those are deaths with COVID? That is, people 107 00:06:26,680 --> 00:06:30,560 Speaker 1: have many different comorbidities, and other words, if you're in hospice, 108 00:06:31,040 --> 00:06:34,919 Speaker 1: and as often unfortunately occurs in a hospice, you die 109 00:06:35,040 --> 00:06:38,200 Speaker 1: not with any one particular cause. You might have pneumonia, 110 00:06:38,240 --> 00:06:40,280 Speaker 1: you might have the flu, you might also have COVID. 111 00:06:40,640 --> 00:06:45,400 Speaker 1: You have many different illnesses oftentimes that are occurring simultaneously, 112 00:06:45,760 --> 00:06:48,640 Speaker 1: but you are on your way to death. Otherwise that 113 00:06:48,640 --> 00:06:51,520 Speaker 1: would be counted as a COVID death. Or memorably, as 114 00:06:51,520 --> 00:06:56,440 Speaker 1: has sometimes happened, if you come in to the hospital 115 00:06:56,520 --> 00:06:59,640 Speaker 1: after getting hit by a bus and you test positive 116 00:06:59,640 --> 00:07:02,120 Speaker 1: for cod you are COVID debt. Okay, So how could 117 00:07:02,120 --> 00:07:06,000 Speaker 1: we have had anything even approaching a rational and reasonable 118 00:07:06,120 --> 00:07:10,240 Speaker 1: policy discussion, Clay, when this CDC is effectively telling us 119 00:07:10,600 --> 00:07:13,000 Speaker 1: the numbers. And remember the numbers are what they used 120 00:07:13,000 --> 00:07:16,080 Speaker 1: to justify everything. There was a time when New York 121 00:07:16,160 --> 00:07:20,120 Speaker 1: City was shutting down schools because of the positivity rate 122 00:07:20,360 --> 00:07:23,760 Speaker 1: of COVID tests, which makes zero sense, right, I mean, 123 00:07:23,800 --> 00:07:26,560 Speaker 1: it's how many people are taking tests. Are asymptomatic people 124 00:07:26,600 --> 00:07:30,040 Speaker 1: taking tests? Are people? They have had the numbers game 125 00:07:30,200 --> 00:07:33,320 Speaker 1: being played this whole time. And now when they say 126 00:07:33,400 --> 00:07:36,240 Speaker 1: things like seventy five percent of COVID deaths are those 127 00:07:36,280 --> 00:07:40,400 Speaker 1: who are essentially at high risk of dying from the 128 00:07:40,440 --> 00:07:45,800 Speaker 1: flu any number of respiratory people with four comorbidities. I mean, 129 00:07:45,800 --> 00:07:49,680 Speaker 1: that's that's statistically someone who is at risk from just 130 00:07:49,760 --> 00:07:51,800 Speaker 1: day to day life. We're all going there, by the way, 131 00:07:51,800 --> 00:07:53,720 Speaker 1: We're all going to be at that point. But when 132 00:07:53,720 --> 00:07:55,320 Speaker 1: I hear us say that, I have to think about 133 00:07:55,400 --> 00:07:58,720 Speaker 1: all the lives, because remember they also tell us everybody 134 00:07:59,040 --> 00:08:01,640 Speaker 1: who is dying almost everybody, I should say, who was 135 00:08:01,720 --> 00:08:04,560 Speaker 1: dying the hospital is unvaccinated. I find that the most 136 00:08:04,560 --> 00:08:06,960 Speaker 1: recent data on that was pretty stunning. It's like point 137 00:08:07,040 --> 00:08:11,640 Speaker 1: zero zero three percent of those dying are vaccinated. So 138 00:08:11,800 --> 00:08:13,360 Speaker 1: they're saying every one of the hospital in the US 139 00:08:13,360 --> 00:08:16,280 Speaker 1: who is dying? I know I find that. I find 140 00:08:16,320 --> 00:08:18,520 Speaker 1: that not but the CDC is saying it. But just 141 00:08:18,800 --> 00:08:20,960 Speaker 1: take that for a moment and pause and just think 142 00:08:21,000 --> 00:08:23,280 Speaker 1: about what that means. Think of all the lives that 143 00:08:23,320 --> 00:08:25,800 Speaker 1: could have been saved if we had gotten ninety nine 144 00:08:25,880 --> 00:08:30,160 Speaker 1: point nine percent of those truly at risk vaccinated instead 145 00:08:30,160 --> 00:08:32,960 Speaker 1: of firing thirty five year old nurses with natural immunity 146 00:08:33,160 --> 00:08:35,120 Speaker 1: and trying to force everyone's ten year old to get 147 00:08:35,160 --> 00:08:38,560 Speaker 1: the shot. Think of the dispersal of resources, the lack 148 00:08:38,600 --> 00:08:43,120 Speaker 1: of trust, the authoritarian overreach that has been created by 149 00:08:43,160 --> 00:08:46,240 Speaker 1: trying to do this and not just mass vaccination, mass 150 00:08:46,320 --> 00:08:50,640 Speaker 1: booster campaign. Now for everybody, people looking around saying, who 151 00:08:50,640 --> 00:08:53,679 Speaker 1: are the morons in charge that think this is actually 152 00:08:53,679 --> 00:08:57,679 Speaker 1: working well? And what this represents to me, Buck is 153 00:08:58,200 --> 00:09:02,959 Speaker 1: the internal polling in the White House on COVID must 154 00:09:03,040 --> 00:09:06,120 Speaker 1: be a disaster right now for Joe Biden, because the 155 00:09:06,160 --> 00:09:09,440 Speaker 1: first thing I say is okay, they're going to now 156 00:09:09,559 --> 00:09:12,920 Speaker 1: start sharing data that frankly, when you and I would 157 00:09:12,920 --> 00:09:15,559 Speaker 1: share it on social media. What would we get told, oh, 158 00:09:15,559 --> 00:09:18,480 Speaker 1: you're trying to kill Grandma's You would sometimes be told, hey, 159 00:09:18,520 --> 00:09:22,040 Speaker 1: you can't share this. It appears to me that big tech, 160 00:09:22,160 --> 00:09:24,720 Speaker 1: and I'm curious if you buy into this, it seems 161 00:09:24,800 --> 00:09:28,800 Speaker 1: like big tech has stopped restricting the spread in many 162 00:09:28,840 --> 00:09:34,080 Speaker 1: ways of critical, critical commentary surrounding COVID all this I got. 163 00:09:34,160 --> 00:09:36,520 Speaker 1: I just got hit my Facebook account. I got diging 164 00:09:36,520 --> 00:09:39,320 Speaker 1: the last twenty four hours for something I said on 165 00:09:39,400 --> 00:09:42,320 Speaker 1: this show, which we then shared at Facebook dot com 166 00:09:42,360 --> 00:09:45,520 Speaker 1: slashblock Sexton. So we're now fighting with them as an untruth. 167 00:09:45,720 --> 00:09:48,920 Speaker 1: They said, like, this is this independent fact checkers. I 168 00:09:49,000 --> 00:09:53,360 Speaker 1: have run circles as have you, around these independent fact 169 00:09:53,440 --> 00:09:57,120 Speaker 1: checkers for months when you look at what is actually true, 170 00:09:57,280 --> 00:10:01,120 Speaker 1: who ends up being right versus who is going along 171 00:10:01,120 --> 00:10:04,640 Speaker 1: with the narrative at the time? Journalism, Big Tech, my friends, 172 00:10:04,679 --> 00:10:08,360 Speaker 1: they have betrayed not only their professions but this country 173 00:10:08,400 --> 00:10:11,080 Speaker 1: over the course of the pandemic by refusing to stand 174 00:10:11,120 --> 00:10:14,480 Speaker 1: for truth, refusing to make sure there's accountability for the 175 00:10:14,880 --> 00:10:18,960 Speaker 1: abomination of a CDC, which is at this point they're 176 00:10:18,960 --> 00:10:21,880 Speaker 1: the worst three letter agency in the federal government, which 177 00:10:21,960 --> 00:10:26,600 Speaker 1: is an astonishing accomplishment and the people who are doing 178 00:10:26,640 --> 00:10:28,800 Speaker 1: these fact checks, well, that's interesting that you just got 179 00:10:28,840 --> 00:10:31,680 Speaker 1: ding because what I have noticed is it seems like 180 00:10:32,400 --> 00:10:36,080 Speaker 1: there now is a willingness to have a debate about 181 00:10:36,160 --> 00:10:40,000 Speaker 1: what's going on surrounding the COVID vaccine. And I continue 182 00:10:40,000 --> 00:10:42,839 Speaker 1: to say COVID vaccine in question and quotation marks, because 183 00:10:43,000 --> 00:10:45,600 Speaker 1: the question that I asked Buck that got everybody riled 184 00:10:45,679 --> 00:10:49,040 Speaker 1: up last week on Twitter was just this, name me 185 00:10:49,240 --> 00:10:52,440 Speaker 1: any other vaccine in quotation marks that you have to 186 00:10:52,480 --> 00:10:55,160 Speaker 1: get three or four shots in a year and it 187 00:10:55,200 --> 00:10:58,520 Speaker 1: doesn't prevent you from getting or spreading the virus. I've 188 00:10:58,559 --> 00:11:00,520 Speaker 1: never heard of that happen. This is the crappy vaccine. 189 00:11:00,520 --> 00:11:02,160 Speaker 1: And anybody's ever heard of I mean, no one's ever 190 00:11:02,200 --> 00:11:04,560 Speaker 1: been sitting around saying, yeah, you know, get the MMR 191 00:11:04,679 --> 00:11:07,160 Speaker 1: vaccines and maybe get them four times a year for 192 00:11:07,160 --> 00:11:09,240 Speaker 1: the rest of your life, and maybe it works, maybe 193 00:11:09,280 --> 00:11:12,360 Speaker 1: it doesn't. Doesn't stop the spread. Of course, this is 194 00:11:12,400 --> 00:11:14,040 Speaker 1: not what we thought of when this is not what 195 00:11:14,120 --> 00:11:16,160 Speaker 1: they told us. To be very clear, they said ninety 196 00:11:16,160 --> 00:11:18,200 Speaker 1: five percent protection. You don't get it, you don't spread it. 197 00:11:18,280 --> 00:11:20,880 Speaker 1: But Clay, to your point about social media, what I 198 00:11:20,920 --> 00:11:24,000 Speaker 1: think we're seeing is that it's more apparent now that 199 00:11:24,040 --> 00:11:27,720 Speaker 1: there are some people who are allowed to say what 200 00:11:27,800 --> 00:11:31,480 Speaker 1: you and I say, And so that's okay. Now what 201 00:11:31,640 --> 00:11:34,000 Speaker 1: are you and I allowed to say it? Right? Can 202 00:11:34,040 --> 00:11:36,560 Speaker 1: I say that the vaccines don't stop the spread? I 203 00:11:36,640 --> 00:11:39,120 Speaker 1: might get danged, I might get shut down, But Rochelle 204 00:11:39,160 --> 00:11:41,480 Speaker 1: Wilenski can go and say it right. It's about who 205 00:11:41,559 --> 00:11:43,520 Speaker 1: can say what, which just goes to show you this 206 00:11:43,600 --> 00:11:45,679 Speaker 1: is all about power dynamics and has been all along, 207 00:11:46,120 --> 00:11:49,200 Speaker 1: and politics and the politics I think on this are 208 00:11:49,400 --> 00:11:52,240 Speaker 1: disastrous now for Joe Biden, and I think they are 209 00:11:52,320 --> 00:11:54,760 Speaker 1: trying to figure out they're in a tough spot right 210 00:11:54,800 --> 00:11:59,199 Speaker 1: because they used COVID to keep Donald Trump from getting 211 00:11:59,240 --> 00:12:03,400 Speaker 1: reelected twenty twenty, all of the death counters, which miraculously 212 00:12:03,440 --> 00:12:06,240 Speaker 1: have disappeared, even though the deaths are continuing to go up, 213 00:12:06,640 --> 00:12:09,920 Speaker 1: all of the nuance surrounding these numbers. Wait a minute, 214 00:12:09,960 --> 00:12:13,520 Speaker 1: what's the difference between the COVID death with COVID versus 215 00:12:13,559 --> 00:12:17,000 Speaker 1: COVID because a death because of COVID. These were conversations 216 00:12:17,000 --> 00:12:19,880 Speaker 1: that were not allowed to happen. And now as they 217 00:12:19,960 --> 00:12:22,160 Speaker 1: look ahead to the red wave that is coming in 218 00:12:22,200 --> 00:12:25,000 Speaker 1: twenty twenty two to this mid term. As every single 219 00:12:25,080 --> 00:12:27,439 Speaker 1: day Buck more and more people my phone. I don't 220 00:12:27,440 --> 00:12:29,560 Speaker 1: know about you, but there are friends of mine that 221 00:12:29,640 --> 00:12:32,199 Speaker 1: I will hear from pretty regularly who may have been 222 00:12:32,240 --> 00:12:36,280 Speaker 1: critical of some of my COVID comments earlier, and they're like, man, 223 00:12:36,360 --> 00:12:38,839 Speaker 1: I'm starting to look at the data and a lot 224 00:12:38,840 --> 00:12:40,600 Speaker 1: of what you've been saying is true. Yeah, it's not 225 00:12:40,640 --> 00:12:44,160 Speaker 1: like I'm pretending to be a Nobel Prize winning scientist. 226 00:12:44,480 --> 00:12:47,120 Speaker 1: I'm just looking at the data and using it to 227 00:12:47,200 --> 00:12:50,360 Speaker 1: inform my opinions, which is what all intelligent people should do. 228 00:12:50,440 --> 00:12:53,560 Speaker 1: And there are Nobel Prize winning scientists that kind of 229 00:12:53,559 --> 00:12:55,079 Speaker 1: say we've been saying here in the claim Buck Show. 230 00:12:55,120 --> 00:12:56,319 Speaker 1: I'm just gonna just gonna put it out in a 231 00:12:56,320 --> 00:12:58,199 Speaker 1: little bit, a little bit of what the claim Buck 232 00:12:58,240 --> 00:13:00,440 Speaker 1: Show has been recently. You know, you don't just vote 233 00:13:00,440 --> 00:13:02,920 Speaker 1: every November. You vote every single month with the money 234 00:13:02,960 --> 00:13:04,960 Speaker 1: you spend to the companies you choose to spend it with. 235 00:13:05,320 --> 00:13:07,680 Speaker 1: Consider your current cell phone provider and the bill you're 236 00:13:07,679 --> 00:13:10,480 Speaker 1: paying this month. Your money supports the candidates and issues 237 00:13:10,480 --> 00:13:12,440 Speaker 1: that they donate to. Do you know who they are. 238 00:13:12,679 --> 00:13:14,520 Speaker 1: Let me give you a hint you might be frustrated 239 00:13:14,559 --> 00:13:18,000 Speaker 1: to see the support for the leftist politicians pushing liberal agendas. 240 00:13:18,280 --> 00:13:21,120 Speaker 1: But there's a solution, Pure Talk. Get your cell phone 241 00:13:21,160 --> 00:13:23,959 Speaker 1: service from pure Talk. They use the exact same towers 242 00:13:24,000 --> 00:13:26,200 Speaker 1: accessing the exact same five G network as one of 243 00:13:26,200 --> 00:13:28,480 Speaker 1: those companies. With pure Talk, you have the peace of 244 00:13:28,520 --> 00:13:31,319 Speaker 1: mind that you're supporting a veteran run business with employees 245 00:13:31,400 --> 00:13:33,880 Speaker 1: all here in the United States. Clay and I are 246 00:13:33,920 --> 00:13:36,679 Speaker 1: proud to be customers for that reason too. And Clay, 247 00:13:36,760 --> 00:13:39,080 Speaker 1: this is a monthly bill you can be proud to pay, 248 00:13:39,760 --> 00:13:42,079 Speaker 1: no doubt, it's likely to be half of what your 249 00:13:42,120 --> 00:13:44,360 Speaker 1: current cell phone bill is. That means you're likely to 250 00:13:44,360 --> 00:13:47,920 Speaker 1: save fifty or sixty dollars or more each month. So 251 00:13:48,000 --> 00:13:50,439 Speaker 1: how do you get yourself hooked up from your cell phone? 252 00:13:50,520 --> 00:13:53,600 Speaker 1: Right now? Grab them in your hands. Dial pound two 253 00:13:53,679 --> 00:13:57,240 Speaker 1: fifty say pure Talk, and you'll save an additional fifty 254 00:13:57,280 --> 00:14:01,400 Speaker 1: percent off your first month. Dial pound two five zero 255 00:14:01,880 --> 00:14:09,839 Speaker 1: say pure Talk Today. Our vaccines are working exceptionally well. 256 00:14:09,960 --> 00:14:12,480 Speaker 1: They continue to work well for Delta with regard to 257 00:14:12,559 --> 00:14:15,240 Speaker 1: severe illness and death. They'd prevent it. But what they 258 00:14:15,280 --> 00:14:21,680 Speaker 1: can't do anymore is prevent transmission that was back in 259 00:14:22,960 --> 00:14:27,200 Speaker 1: What was that now that that was back in August? 260 00:14:27,320 --> 00:14:31,800 Speaker 1: I believe right, yes, August fifth, Rochelle Willinsky, welcome back 261 00:14:31,800 --> 00:14:35,160 Speaker 1: the clan Buck Show. The vaccines can't prevent transmission, so 262 00:14:35,200 --> 00:14:39,200 Speaker 1: they've known that. Then, what was the basis for the mandate? Exactly? 263 00:14:39,280 --> 00:14:44,880 Speaker 1: Because they were also telling us, remember, Biden, your patriotic duty, 264 00:14:45,000 --> 00:14:47,080 Speaker 1: and you know that's when he is awake enough to 265 00:14:47,120 --> 00:14:49,840 Speaker 1: read off the prompter and you say, hold on a second, 266 00:14:49,880 --> 00:14:52,480 Speaker 1: why is it a duty to protect others if it 267 00:14:52,520 --> 00:14:55,760 Speaker 1: doesn't actually protect others? And now are we really going 268 00:14:55,760 --> 00:14:59,480 Speaker 1: to accept the pretense there there's two other arguments they're trying. Now, 269 00:14:59,520 --> 00:15:02,360 Speaker 1: this is what we happens. They're wrong, and then all 270 00:15:02,400 --> 00:15:05,960 Speaker 1: of a sudden they change the basis for their wrongness, right, 271 00:15:06,000 --> 00:15:09,720 Speaker 1: they say the Fauciites will say, okay, well, it's really 272 00:15:09,760 --> 00:15:13,760 Speaker 1: about making sure that you are protected. This is for 273 00:15:13,800 --> 00:15:16,880 Speaker 1: your own good. Well, hold on a second. There are 274 00:15:16,880 --> 00:15:19,040 Speaker 1: a lot of people for whom the vaccine, especially if 275 00:15:19,040 --> 00:15:22,520 Speaker 1: they have natural immunity, their own good ain't good enough. 276 00:15:23,040 --> 00:15:26,120 Speaker 1: They're if you're thirty five years old, then really and 277 00:15:26,200 --> 00:15:28,040 Speaker 1: then you know, just in any kind of shape, honestly, 278 00:15:28,080 --> 00:15:31,880 Speaker 1: unless you're severely ill, you may decide you don't want 279 00:15:31,880 --> 00:15:34,120 Speaker 1: to do it, so that at rationale's breaking down. The 280 00:15:34,160 --> 00:15:37,760 Speaker 1: other rationale clay that they're trotting out here is, oh, 281 00:15:37,880 --> 00:15:41,800 Speaker 1: but the vaccinated, I'm sorry, the unvaccinated fill up the 282 00:15:41,880 --> 00:15:45,920 Speaker 1: hospitals and prevent people from being able to get cardiac care. 283 00:15:46,320 --> 00:15:49,600 Speaker 1: Let's just look at this rationally for a second. A 284 00:15:49,760 --> 00:15:53,320 Speaker 1: year ago, there were basically no vaccines, okay, no vaccines, 285 00:15:53,360 --> 00:15:57,040 Speaker 1: and people were getting sick at unprecedented levels with a 286 00:15:57,160 --> 00:16:01,360 Speaker 1: much more dangerous virus. We didn't have hospitals unable to provide. 287 00:16:01,840 --> 00:16:05,400 Speaker 1: The overrunning of the hospitals thing has never hospitals have 288 00:16:05,480 --> 00:16:07,560 Speaker 1: been stretched. They've had to expand it, but they've had 289 00:16:07,560 --> 00:16:09,880 Speaker 1: to do that for a long time, for bad flu seasons, 290 00:16:09,880 --> 00:16:12,440 Speaker 1: other things too. I just feel like there are arguments 291 00:16:12,480 --> 00:16:14,360 Speaker 1: now don't add up. And I'm not the only one. 292 00:16:14,400 --> 00:16:15,880 Speaker 1: There's a guy in the Wall Street Journal on the 293 00:16:15,880 --> 00:16:19,360 Speaker 1: mandates who's a Nobel Prize winner who's saying, yeah, this 294 00:16:19,480 --> 00:16:23,120 Speaker 1: is just all nonsense now, yeah, and he makes a 295 00:16:23,160 --> 00:16:25,520 Speaker 1: really strong case. In fact, I'm going to unpack this 296 00:16:25,640 --> 00:16:29,520 Speaker 1: a little bit more. Because you and I were so disgusted, 297 00:16:29,800 --> 00:16:35,400 Speaker 1: I would say I was particularly disgusted by the untruths 298 00:16:35,440 --> 00:16:40,600 Speaker 1: that peppered the oral arguments surrounding the Biden vaccine mandate 299 00:16:40,680 --> 00:16:45,920 Speaker 1: discussion in the Supreme Court, in particular, when Justice Sonia 300 00:16:45,960 --> 00:16:49,040 Speaker 1: Sade Mayor said, we have and I'm reading a direct 301 00:16:49,120 --> 00:16:53,680 Speaker 1: quote from her, over one hundred thousand children in serious condition, 302 00:16:53,960 --> 00:16:57,640 Speaker 1: many on ventilators. I bet there's not a hundred kids 303 00:16:57,760 --> 00:17:02,640 Speaker 1: a hundred kids in on ventilators in this country right now. 304 00:17:03,040 --> 00:17:07,960 Speaker 1: There are only thirty five hundred kids that are hospitalized 305 00:17:08,080 --> 00:17:11,920 Speaker 1: with COVID right now in the country, period and buck 306 00:17:11,960 --> 00:17:15,960 Speaker 1: as we know, a vast majority of those kids, based 307 00:17:16,000 --> 00:17:19,919 Speaker 1: on data, are likely to be hospitalized with COVID, meaning 308 00:17:20,280 --> 00:17:23,040 Speaker 1: they're in the hospital with something else and they have 309 00:17:23,160 --> 00:17:27,760 Speaker 1: tested positive for COVID. So all of this madness, and 310 00:17:27,800 --> 00:17:31,320 Speaker 1: then as we talked about too, Justice Stephen Bryer seem 311 00:17:31,400 --> 00:17:34,399 Speaker 1: to believe that if people would just get vaccinated, the 312 00:17:34,560 --> 00:17:37,640 Speaker 1: seven hundred and fifty thousand new cases that are happening 313 00:17:37,680 --> 00:17:40,840 Speaker 1: every day would cease to exist. It's a level of 314 00:17:41,000 --> 00:17:46,440 Speaker 1: misapprehension and fundamental dishonesty. If they know that what they're 315 00:17:46,440 --> 00:17:48,840 Speaker 1: saying is untrue. It it's so scary to me that 316 00:17:48,840 --> 00:17:51,760 Speaker 1: the Supreme Court justices could be this poorly informed as 317 00:17:51,760 --> 00:17:57,040 Speaker 1: an institution. People lost faith in the intellectual level of 318 00:17:57,080 --> 00:17:59,560 Speaker 1: some of the Supreme Court justices that are making these 319 00:17:59,600 --> 00:18:02,760 Speaker 1: decisions after their COVID arguments. That's what really happened there, folks. 320 00:18:03,040 --> 00:18:05,960 Speaker 1: They're no doubt they're not well informed enough to even 321 00:18:06,000 --> 00:18:08,520 Speaker 1: be engaged in a debate, never mind to be engaged 322 00:18:08,640 --> 00:18:11,240 Speaker 1: in what is effectively the making of law on this issue. 323 00:18:11,240 --> 00:18:12,800 Speaker 1: We'll come back to this though, and Clay has got 324 00:18:12,640 --> 00:18:15,840 Speaker 1: the a Walshreet journal piece in a moment. Eleven twenty 325 00:18:15,920 --> 00:18:18,520 Speaker 1: years ago, two nine hundred and seventy seven people were 326 00:18:18,640 --> 00:18:21,960 Speaker 1: killed in terrorist attacks on American soil. 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These heroes and 336 00:18:49,240 --> 00:18:52,000 Speaker 1: their families join Tuneta Towers on its mission to do good. 337 00:18:52,280 --> 00:18:55,520 Speaker 1: Donate eleven dollars a month right now, that's eleven dollars 338 00:18:55,560 --> 00:18:58,760 Speaker 1: a month. That t twot dot org. That's t the 339 00:18:58,840 --> 00:19:07,400 Speaker 1: number two t org. Welcome back in Clay, Travis, Buck 340 00:19:07,440 --> 00:19:10,480 Speaker 1: Sexton show. Appreciate all of you hanging out with us. 341 00:19:11,240 --> 00:19:15,879 Speaker 1: And I gotta give credit. Buck. The two pages that 342 00:19:15,960 --> 00:19:20,000 Speaker 1: I'm most interested in seeing every single day are the 343 00:19:20,040 --> 00:19:24,280 Speaker 1: Wall Street Journal editorial pages. They are by far the 344 00:19:24,400 --> 00:19:28,760 Speaker 1: most honest, the most interesting, the most thought provoking, and 345 00:19:29,000 --> 00:19:33,360 Speaker 1: the most fact based and fearless, I would say, of 346 00:19:33,520 --> 00:19:37,840 Speaker 1: any newspaper pages in the media. And I'm old school 347 00:19:38,320 --> 00:19:41,840 Speaker 1: in the sense that I still read the actual physical newspaper. 348 00:19:42,040 --> 00:19:45,000 Speaker 1: So I turned to it this morning, Buck, when the 349 00:19:45,040 --> 00:19:47,640 Speaker 1: Wall Street Journal got to the house, and I read 350 00:19:47,720 --> 00:19:52,800 Speaker 1: this piece, and I might mangle these names. Luke Montagnier, 351 00:19:53,080 --> 00:19:57,680 Speaker 1: that's the French pronunciation montagner. If you're a Southern guy, 352 00:19:58,640 --> 00:20:00,520 Speaker 1: I have no idea how exactly to anounced it. And 353 00:20:00,600 --> 00:20:07,000 Speaker 1: Jeb Jed Rubinfeld wrote a headline here, Omicron makes Biden's 354 00:20:07,080 --> 00:20:11,640 Speaker 1: mandates obsolete and buck the entire argument here is effectively 355 00:20:12,960 --> 00:20:16,520 Speaker 1: there is and this is an emboldened part of their peace. 356 00:20:16,880 --> 00:20:20,480 Speaker 1: There is no evidence so far that vaccines are reducing 357 00:20:20,560 --> 00:20:25,480 Speaker 1: infections from the fast spreading omicron variant, and they argue 358 00:20:25,520 --> 00:20:30,120 Speaker 1: that as a result, there is no scientific basis whatsoever 359 00:20:30,640 --> 00:20:34,600 Speaker 1: for OSHA's vaccine mandate. And they close their piece by saying, 360 00:20:35,200 --> 00:20:39,440 Speaker 1: neither Health and Human Services nor OSHA ever considered omicron 361 00:20:39,800 --> 00:20:43,760 Speaker 1: or set a word about vaccine efficacy against it, for 362 00:20:43,800 --> 00:20:47,480 Speaker 1: the simple reason that it hadn't yet been discovered. In 363 00:20:47,520 --> 00:20:53,240 Speaker 1: these circumstances, longstanding legal principles require that justice is to 364 00:20:53,520 --> 00:20:57,440 Speaker 1: stay the mandates and send them back to the agencies 365 00:20:57,520 --> 00:21:00,920 Speaker 1: for a fresh look. Which is an interesting argument which 366 00:21:00,920 --> 00:21:03,640 Speaker 1: I hadn't even thought about, was well said by these 367 00:21:03,680 --> 00:21:07,080 Speaker 1: guys in this article, because at the time of the 368 00:21:07,080 --> 00:21:12,480 Speaker 1: Biden COVID vaccine mandate, omicron didn't exist, and so they 369 00:21:12,560 --> 00:21:16,800 Speaker 1: need to reconsider the science behind their argument. And so 370 00:21:16,840 --> 00:21:21,639 Speaker 1: the Supreme Court could just send this back to HHS 371 00:21:21,640 --> 00:21:26,720 Speaker 1: and say HSA OSHA and say you have to redo 372 00:21:26,760 --> 00:21:30,440 Speaker 1: this entire vaccine mandate because the science upon which you 373 00:21:30,600 --> 00:21:32,920 Speaker 1: relied has changed. It's a little bit of a way 374 00:21:32,920 --> 00:21:37,680 Speaker 1: to dodge having to make a big decision about executive authority. Right, 375 00:21:38,160 --> 00:21:43,119 Speaker 1: this is a moment in time where any reasonable rational 376 00:21:43,280 --> 00:21:47,080 Speaker 1: decision making bodies of the Supreme Court osha itself. Oh, 377 00:21:47,119 --> 00:21:50,720 Speaker 1: I don't know the Biden regime, the mouthpieces at the CDC. 378 00:21:51,440 --> 00:21:53,720 Speaker 1: You know, where's little Fauci. I haven't seen him in 379 00:21:53,760 --> 00:21:55,439 Speaker 1: five minutes. You know, I don't know what's going on. 380 00:21:55,520 --> 00:21:57,679 Speaker 1: It's been five minutes without him on my fifty screen, 381 00:21:58,320 --> 00:22:01,800 Speaker 1: and you say, hold on a second. Someone explained to 382 00:22:01,840 --> 00:22:06,480 Speaker 1: me how this makes any sense given the reality that 383 00:22:06,560 --> 00:22:09,919 Speaker 1: the underlying justification for this, they took it out of 384 00:22:09,960 --> 00:22:14,439 Speaker 1: individual hands, your rights, your freedom as a person to 385 00:22:14,680 --> 00:22:18,000 Speaker 1: not have something injected into you or else you would 386 00:22:18,040 --> 00:22:20,479 Speaker 1: face serious consequences. I mean, in New York City, you're 387 00:22:20,480 --> 00:22:23,040 Speaker 1: effectively locked in your home unless you get the shot. 388 00:22:23,160 --> 00:22:26,120 Speaker 1: It's horrible what they've done to people here. Okay, that 389 00:22:26,200 --> 00:22:28,080 Speaker 1: was all based on the oh, I can't be near 390 00:22:28,119 --> 00:22:31,120 Speaker 1: you because you're gonna get me sick. Well, now we know, 391 00:22:31,920 --> 00:22:34,679 Speaker 1: unless you're gonna avoid all human contact, you might actually 392 00:22:34,680 --> 00:22:37,640 Speaker 1: get exposed to COVID, vaccinated or unvaccinated, and they can't 393 00:22:37,640 --> 00:22:41,040 Speaker 1: even distinguish between the two in terms of infection likelihood 394 00:22:41,080 --> 00:22:44,560 Speaker 1: anymore or viral spread. And unless I'm missing something, unless 395 00:22:44,560 --> 00:22:46,800 Speaker 1: there's some data I don't know about, they did do 396 00:22:46,960 --> 00:22:50,400 Speaker 1: recent studies to show that those who are vaccinated versus 397 00:22:50,440 --> 00:22:54,119 Speaker 1: unvaccinated who do get infected have about the same level 398 00:22:54,720 --> 00:22:58,920 Speaker 1: of virus in their naso pharynx. Right, so in terms 399 00:22:58,960 --> 00:23:03,240 Speaker 1: of initial in fact, maybe for the first sixty days, Clay, 400 00:23:03,240 --> 00:23:05,680 Speaker 1: you're more protective. Of the first ninety days you more protected, 401 00:23:05,880 --> 00:23:08,680 Speaker 1: but after that you're not. So what's really the justification 402 00:23:08,840 --> 00:23:11,040 Speaker 1: here for making people not get or making people get 403 00:23:11,080 --> 00:23:13,280 Speaker 1: the shot They don't They don't have, They're just coming 404 00:23:13,320 --> 00:23:15,800 Speaker 1: up with it on the fly. This is maybe the 405 00:23:15,800 --> 00:23:19,200 Speaker 1: most blockbuster part of the entire article here that I'm 406 00:23:19,200 --> 00:23:20,919 Speaker 1: reading from the Wall Street Journal. For those of you 407 00:23:20,960 --> 00:23:23,960 Speaker 1: out there, I shared this on Twitter. Encourage you to 408 00:23:24,000 --> 00:23:27,280 Speaker 1: go read the article for yourself again. One of the 409 00:23:27,400 --> 00:23:34,280 Speaker 1: writers here doctor Montagnier, what I've pronounced his name just 410 00:23:34,400 --> 00:23:38,280 Speaker 1: lean into the French. He was a winner of the 411 00:23:38,280 --> 00:23:42,359 Speaker 1: two thousand and eight Nobel Prize in Physiology or Medicine 412 00:23:42,520 --> 00:23:46,560 Speaker 1: for discovering HIV. So this guy's kind of a big deal. 413 00:23:46,880 --> 00:23:49,800 Speaker 1: U Nobel Prize winner. All right, listen to this paragraph, Buck, 414 00:23:50,040 --> 00:23:52,600 Speaker 1: because this is a jaw dropping paragraph. And I think 415 00:23:52,600 --> 00:23:55,439 Speaker 1: we're going to talk some with Alex Barnson about this 416 00:23:55,520 --> 00:23:58,080 Speaker 1: tomorrow in the third hour of the program for those 417 00:23:58,119 --> 00:24:00,560 Speaker 1: of you out there who want to hear this discussion. 418 00:24:00,640 --> 00:24:04,160 Speaker 1: But here's what they say. The little data we have 419 00:24:04,600 --> 00:24:09,760 Speaker 1: suggest the opposite in terms of omicron protecting vaccinated people. 420 00:24:10,240 --> 00:24:15,439 Speaker 1: One preprint study found that after thirty days, the Maderna 421 00:24:15,520 --> 00:24:21,480 Speaker 1: and Fiser vaccines no longer had any statistically significant positive 422 00:24:21,520 --> 00:24:25,720 Speaker 1: effect against omicron infection just thirty days. But listen to this, 423 00:24:26,359 --> 00:24:32,439 Speaker 1: and after ninety days, their effect went negative. That is, 424 00:24:33,000 --> 00:24:39,480 Speaker 1: vaccinated people were more susceptible to omicron infection. Confirming this 425 00:24:39,560 --> 00:24:44,280 Speaker 1: negative efficacy finding, data from Denmark and the Canadian province 426 00:24:44,320 --> 00:24:49,720 Speaker 1: of Ontario indicate vaccinated people have higher rates of omicron 427 00:24:49,800 --> 00:24:54,320 Speaker 1: infection than unvaccinated people. Buck. If this paragraph that I'm 428 00:24:54,359 --> 00:24:57,359 Speaker 1: reading from in the Wall Street Journal, is correct, not 429 00:24:57,600 --> 00:25:01,120 Speaker 1: only is there not now as Joe Biden has been 430 00:25:01,160 --> 00:25:05,880 Speaker 1: saying four months a pandemic of the unvaccinated, what we 431 00:25:06,000 --> 00:25:09,440 Speaker 1: actually have in this country, Buck, based on this paragraph 432 00:25:09,480 --> 00:25:13,720 Speaker 1: and these studies would be a pandemic of the vaccinated, 433 00:25:14,280 --> 00:25:18,359 Speaker 1: it's earth shattering. I guarantee that if Clay or I 434 00:25:18,800 --> 00:25:21,440 Speaker 1: or any of our brothers and sisters in the conservative 435 00:25:21,480 --> 00:25:25,439 Speaker 1: movement took those exact words and forget about attribution and 436 00:25:25,440 --> 00:25:27,439 Speaker 1: plagiarism for a second, okay, just for the purpose of 437 00:25:27,440 --> 00:25:30,800 Speaker 1: the analogy or for the story here, took those exact words, 438 00:25:31,440 --> 00:25:33,480 Speaker 1: put them onto our Facebook page, or put them on 439 00:25:33,480 --> 00:25:37,800 Speaker 1: to Twitter, a very high likelihood that you would get 440 00:25:37,800 --> 00:25:41,800 Speaker 1: a strike, you'd be suspended and maybe permanently suspended for 441 00:25:42,560 --> 00:25:47,040 Speaker 1: taking the words of a Nobel Prize winner in science 442 00:25:47,240 --> 00:25:49,919 Speaker 1: on what's happening right now based on the data. So 443 00:25:50,000 --> 00:25:51,879 Speaker 1: can we all understand the people that are telling you 444 00:25:51,960 --> 00:25:56,040 Speaker 1: it's the science are cowards, they're liars, and they don't 445 00:25:56,040 --> 00:25:59,000 Speaker 1: know what the heck they're talking about. That corporate media 446 00:25:59,080 --> 00:26:02,760 Speaker 1: in general lie with the Democrats, has failed to even 447 00:26:02,760 --> 00:26:06,600 Speaker 1: do the most basic due diligence on faucism. They've been 448 00:26:06,640 --> 00:26:10,000 Speaker 1: at every stage of this pandemic pretending to have the 449 00:26:10,040 --> 00:26:13,359 Speaker 1: answer Clay based upon things that they clearly could not 450 00:26:13,440 --> 00:26:15,359 Speaker 1: really know. But they said, we're one hundred percent sure. 451 00:26:15,800 --> 00:26:18,399 Speaker 1: I mean, at what point is I'm one hundred percent sure? 452 00:26:18,760 --> 00:26:21,359 Speaker 1: And then I'm actually wrong because I wasn't sure. The 453 00:26:21,440 --> 00:26:23,760 Speaker 1: same thing as a lie right to say that we 454 00:26:23,800 --> 00:26:27,040 Speaker 1: know these vaccines work so well and we'll stop transmission 455 00:26:27,200 --> 00:26:31,320 Speaker 1: and we'll stop infection, and to find out catastrophically how 456 00:26:31,400 --> 00:26:34,200 Speaker 1: much that's not true. Well, it's not like they said, 457 00:26:34,240 --> 00:26:38,000 Speaker 1: we think. They said we know and you must get 458 00:26:38,040 --> 00:26:41,439 Speaker 1: based on you must get the shot based on us knowing, 459 00:26:41,880 --> 00:26:45,240 Speaker 1: And they didn't, and they were wrong, And there needs 460 00:26:45,240 --> 00:26:47,840 Speaker 1: to be accountability for that, because otherwise, how can we 461 00:26:47,880 --> 00:26:50,920 Speaker 1: trust what they say going forward? Why should anyone listen 462 00:26:50,960 --> 00:26:53,360 Speaker 1: to the next Fauci pronouncement. Oh, I'm sure you'll see 463 00:26:53,440 --> 00:26:55,960 Speaker 1: him walking around in three masks in a matter of 464 00:26:56,000 --> 00:26:58,800 Speaker 1: weeks now, because he takes the virus seriously. By the way, 465 00:26:58,840 --> 00:27:02,520 Speaker 1: does AOC take the virus seriously? Because she just got infected, 466 00:27:02,840 --> 00:27:05,040 Speaker 1: she was not gonna take along. It's not gonna take 467 00:27:05,119 --> 00:27:08,720 Speaker 1: long to AOC bring blames the santis for her for 468 00:27:08,760 --> 00:27:11,679 Speaker 1: her covid infection, by the way, her covid infection post 469 00:27:11,800 --> 00:27:16,120 Speaker 1: double vaccine, post booster holiday gift giving season. By the way, 470 00:27:16,160 --> 00:27:19,480 Speaker 1: she's also going to be fine. Maybe the virus was 471 00:27:19,520 --> 00:27:22,760 Speaker 1: just supremely attracted to her because she's so good looking. Right, 472 00:27:22,960 --> 00:27:26,600 Speaker 1: Maybe that's the big takeaway here. This holiday gift giving 473 00:27:26,640 --> 00:27:30,400 Speaker 1: season is behind us now. Keeping all those Internet connected 474 00:27:30,440 --> 00:27:33,680 Speaker 1: presents safe from cyber thieves should become top of your mind. 475 00:27:34,040 --> 00:27:37,040 Speaker 1: Some steps you can take to protect computers, phone, smart watches, 476 00:27:37,080 --> 00:27:41,600 Speaker 1: and more from attacks include turning off device listening, updating software, 477 00:27:41,680 --> 00:27:46,879 Speaker 1: often applying two factor authentication, using complex passwords, and enabling 478 00:27:47,000 --> 00:27:50,600 Speaker 1: lock screens. It's important to understand how cybercrime and identity 479 00:27:50,640 --> 00:27:53,399 Speaker 1: theft or affecting our lives. Every day we put our 480 00:27:53,440 --> 00:27:56,080 Speaker 1: information at risk on the Internet. In an instant, a 481 00:27:56,160 --> 00:27:59,560 Speaker 1: cyber criminal could steal what yours sometimes even harm your finances, 482 00:27:59,560 --> 00:28:03,920 Speaker 1: your credit, your reputation. Good thing, there's LifeLock buck. How 483 00:28:03,960 --> 00:28:06,560 Speaker 1: can you get hooked up with LifeLock today? Look, no 484 00:28:06,600 --> 00:28:09,359 Speaker 1: one can prevent all identity theft or monitor all transactions 485 00:28:09,359 --> 00:28:12,200 Speaker 1: at all businesses, but you've got to take this critical 486 00:28:12,240 --> 00:28:15,399 Speaker 1: step here to protect what's yours with LifeLock by Norton. 487 00:28:15,520 --> 00:28:17,600 Speaker 1: I haven't. I've gotten alerts in the past. I've been 488 00:28:17,640 --> 00:28:20,560 Speaker 1: a LifeLock by Norton customer for years now, and I've 489 00:28:20,560 --> 00:28:23,000 Speaker 1: had identity theft issues. I've had people use my credit cards. 490 00:28:23,000 --> 00:28:25,560 Speaker 1: I've had people try to mess with things in my name. 491 00:28:26,080 --> 00:28:29,760 Speaker 1: Join LifeLock now they shut that stuff down. Save twenty 492 00:28:29,800 --> 00:28:33,080 Speaker 1: five percent off your first year by using promo code 493 00:28:33,080 --> 00:28:36,919 Speaker 1: buck at LifeLock dot com. Or call one eight hundred 494 00:28:36,960 --> 00:28:41,440 Speaker 1: LifeLock that's LifeLock dot com and use promo code buck 495 00:28:41,560 --> 00:28:50,000 Speaker 1: for twenty five percent off. But the Republicans are doing 496 00:28:50,000 --> 00:28:55,320 Speaker 1: across the country. It's really a legislative, continual continuation of 497 00:28:55,400 --> 00:28:58,520 Speaker 1: what they did on January sixth, which is to undermine 498 00:28:58,960 --> 00:29:04,320 Speaker 1: our democracy, to undermine the integrity of our elections, to 499 00:29:05,280 --> 00:29:09,640 Speaker 1: undermine the the voting power, which is the essence of 500 00:29:09,680 --> 00:29:12,880 Speaker 1: a democracy. Welcome back to Clan and Buck Show. Just 501 00:29:12,960 --> 00:29:15,080 Speaker 1: learn to hear that. Have a little laugh. Nancy Pelosi 502 00:29:15,800 --> 00:29:18,440 Speaker 1: is now deploying the tactic that you will see. They've 503 00:29:18,480 --> 00:29:20,280 Speaker 1: been doing it for a while, but you'll see all 504 00:29:20,320 --> 00:29:24,040 Speaker 1: this year they got nothing. Biden's a joke. They didn't 505 00:29:24,080 --> 00:29:27,360 Speaker 1: defeat COVID. In fact, COVID is defeating Biden's plans as 506 00:29:27,360 --> 00:29:30,840 Speaker 1: we see every day here, mandates and the government overreach 507 00:29:30,880 --> 00:29:34,360 Speaker 1: that's come along with all of it. And Nancy Pelosi 508 00:29:34,400 --> 00:29:36,520 Speaker 1: is saying that essentially, when Republicans don't go along and 509 00:29:36,520 --> 00:29:41,240 Speaker 1: do what Democrats want. It's all the insurrection. It's all insurrection. 510 00:29:41,800 --> 00:29:44,400 Speaker 1: This is not going to work very well, but it 511 00:29:44,480 --> 00:29:47,160 Speaker 1: is pathetic and it is also a sign of what 512 00:29:47,280 --> 00:29:52,040 Speaker 1: a weak Biden regime. This really is no accomplishments, to 513 00:29:52,040 --> 00:29:55,280 Speaker 1: speak of, nothing. I mean, Clay, if you are a 514 00:29:55,320 --> 00:29:58,959 Speaker 1: loquacious and well equipped fellow to make any number of arguments, 515 00:29:59,000 --> 00:30:02,000 Speaker 1: if I said the best thing Biden has accomplished this 516 00:30:02,080 --> 00:30:05,720 Speaker 1: year or this administration with Democrat control of Congress, I mean, 517 00:30:05,720 --> 00:30:07,800 Speaker 1: I don't. I don't really have a uf I don't 518 00:30:07,800 --> 00:30:10,800 Speaker 1: have any Do you have something? It's it's it's honestly 519 00:30:10,840 --> 00:30:12,760 Speaker 1: hard to come up with anything. If I were trying 520 00:30:12,760 --> 00:30:16,440 Speaker 1: to spin for him at this point, I would, I 521 00:30:16,680 --> 00:30:20,800 Speaker 1: mean it, I had one. I feel like we had 522 00:30:20,840 --> 00:30:23,440 Speaker 1: this conversation like six months ago, and I was able 523 00:30:23,480 --> 00:30:26,200 Speaker 1: to come up with something. But I don't even I 524 00:30:26,480 --> 00:30:28,760 Speaker 1: feel like six months ago you could at least argue 525 00:30:28,800 --> 00:30:31,840 Speaker 1: based on the data. While COVID has gotten better, the 526 00:30:31,960 --> 00:30:35,960 Speaker 1: vaccines have helped to tamp down the overall COVID situation. 527 00:30:36,000 --> 00:30:39,160 Speaker 1: But I can't even think. The only thing I can 528 00:30:39,200 --> 00:30:42,520 Speaker 1: think of, honestly is he's maintained a lot of the 529 00:30:42,560 --> 00:30:46,040 Speaker 1: policies of Trump against China. I thought you might go there. 530 00:30:46,160 --> 00:30:50,760 Speaker 1: The smartest things that he has done of this the 531 00:30:50,760 --> 00:30:52,560 Speaker 1: only thing I thought he could argue. I mean, and 532 00:30:52,840 --> 00:30:54,840 Speaker 1: you know, it seems like he's going back to stay 533 00:30:54,840 --> 00:30:58,280 Speaker 1: in Mexico. The policy that Trump had put in place, uh, 534 00:30:58,280 --> 00:31:01,280 Speaker 1: you know, and so the border has been obviously a disaster. 535 00:31:01,440 --> 00:31:04,440 Speaker 1: But all I could point to is he hasn't been 536 00:31:04,520 --> 00:31:07,160 Speaker 1: as weak on China as I was afraid he was 537 00:31:07,200 --> 00:31:09,760 Speaker 1: going to be. And mostly he's kept in place the 538 00:31:09,760 --> 00:31:13,000 Speaker 1: Trump China policies so far. That's the only thing I 539 00:31:13,040 --> 00:31:17,000 Speaker 1: can say in a positive way. Yes, Rob in Cleveland, Ohio. 540 00:31:17,040 --> 00:31:18,800 Speaker 1: I want to take some of your calls, so let 541 00:31:18,840 --> 00:31:21,040 Speaker 1: us know what's up. Eight hundred two two two two, 542 00:31:21,200 --> 00:31:24,719 Speaker 1: what's up? Rob? Hey, guys, thank you so much for 543 00:31:24,760 --> 00:31:27,160 Speaker 1: taking my call. I love you guys and appreciate all 544 00:31:27,200 --> 00:31:29,680 Speaker 1: that you're doing for us. So I had a thought, 545 00:31:29,760 --> 00:31:32,880 Speaker 1: as we've been thinking about and seeing the evidence come 546 00:31:32,880 --> 00:31:36,120 Speaker 1: out about the limitations of the COVID shot or the vaccine, 547 00:31:36,640 --> 00:31:40,680 Speaker 1: and I'm wondering if it's leaving open an opportunity for 548 00:31:40,840 --> 00:31:43,560 Speaker 1: the left and the liberals to spin it in such 549 00:31:43,560 --> 00:31:48,480 Speaker 1: a way against you know, President Trump and against Operation 550 00:31:48,560 --> 00:31:51,880 Speaker 1: Warp Speed and thinking back to you know, Kamala Harris 551 00:31:51,960 --> 00:31:55,800 Speaker 1: and Joe Biden's you know, comments during the campaign about 552 00:31:56,480 --> 00:31:59,040 Speaker 1: not trusting the vaccine. Do you see do you see 553 00:31:59,080 --> 00:32:03,280 Speaker 1: this as maybe a door open for them to spin it? Rob, 554 00:32:03,320 --> 00:32:05,280 Speaker 1: I'll tell you thank you for calling from Cleveland. I'll 555 00:32:05,280 --> 00:32:06,760 Speaker 1: tell you my thoughts, and Clay would tell you his 556 00:32:06,840 --> 00:32:10,000 Speaker 1: on this one. I will say, I don't see that 557 00:32:10,200 --> 00:32:13,200 Speaker 1: as likely. Now you're asking for kind of a prediction here. 558 00:32:13,240 --> 00:32:16,120 Speaker 1: I don't think that the narrative will become Trump's. Operation 559 00:32:16,200 --> 00:32:19,520 Speaker 1: Warp Speed was the failure because the Democrats so wholeheartedly 560 00:32:20,040 --> 00:32:22,560 Speaker 1: co opted and then deployed and acted like they had 561 00:32:22,640 --> 00:32:26,719 Speaker 1: perfected Warp Speed. And you know, the distribution. Remember when 562 00:32:26,760 --> 00:32:28,960 Speaker 1: the distribution of the vaccine was the whole, big, the 563 00:32:29,000 --> 00:32:31,080 Speaker 1: big challenge, and the Biden people were saying, oh, we're 564 00:32:31,120 --> 00:32:34,320 Speaker 1: so much better. Oh yeah, that's right. The logistics chain 565 00:32:34,920 --> 00:32:37,120 Speaker 1: folks in the Biden regime, we're telling you in the 566 00:32:37,200 --> 00:32:38,960 Speaker 1: very beginning that they were so much better at this. 567 00:32:39,120 --> 00:32:40,960 Speaker 1: Think about that for a second. When you go to 568 00:32:41,040 --> 00:32:43,200 Speaker 1: the grocery store and it's like no milk on the shelves, 569 00:32:43,200 --> 00:32:45,920 Speaker 1: near you, But Clay, I don't see it. Do you 570 00:32:45,960 --> 00:32:48,000 Speaker 1: think that? Do you think that's their next maneuver here? 571 00:32:48,040 --> 00:32:50,480 Speaker 1: I don't see that as likely, but I mean, who knows. 572 00:32:50,840 --> 00:32:53,160 Speaker 1: I think one way you can think it's an interesting call. 573 00:32:53,480 --> 00:32:56,240 Speaker 1: And I've continued to hammer this drum because I think 574 00:32:56,280 --> 00:33:01,440 Speaker 1: it represents fundamental bias. Imagine if Trump were still president 575 00:33:02,120 --> 00:33:05,640 Speaker 1: and COVID was similar to what it is today, which 576 00:33:05,680 --> 00:33:07,920 Speaker 1: I think it would be, because I think the thing 577 00:33:07,960 --> 00:33:12,400 Speaker 1: we have learned is politicians are not going to solve 578 00:33:12,520 --> 00:33:15,760 Speaker 1: COVID or shut it down, despite what Biden claimed in 579 00:33:15,800 --> 00:33:19,440 Speaker 1: twenty twenty. Yet the media to a large extent is 580 00:33:19,480 --> 00:33:23,440 Speaker 1: giving Biden a pass on COVID, whereas they tried to 581 00:33:23,480 --> 00:33:28,000 Speaker 1: hang every single COVID death around Donald Trump's you know, 582 00:33:28,120 --> 00:33:32,600 Speaker 1: a neck and blame him for everything COVID related. I mean, 583 00:33:32,640 --> 00:33:34,640 Speaker 1: it's not a coincidence that Joe Biden ends up in 584 00:33:34,680 --> 00:33:38,520 Speaker 1: office and the COVID death tracker at MSNBC and CNN 585 00:33:39,000 --> 00:33:44,160 Speaker 1: eventually disappears. What I do think is likely to happen 586 00:33:44,880 --> 00:33:49,680 Speaker 1: is there will be there will be a concerted effort 587 00:33:50,000 --> 00:33:53,280 Speaker 1: to try and make it not Joe Biden's fault. And 588 00:33:53,320 --> 00:33:57,280 Speaker 1: I think rather than blame Trump. The new pivot is, well, 589 00:33:57,320 --> 00:34:01,200 Speaker 1: there's nothing we could have done. This is a once 590 00:34:01,240 --> 00:34:04,840 Speaker 1: in a hundred years pandemic, and so Joe Biden has 591 00:34:04,920 --> 00:34:07,520 Speaker 1: done the best job that he could have, which they 592 00:34:07,640 --> 00:34:09,560 Speaker 1: never would have said about Trump. And I do think 593 00:34:09,600 --> 00:34:13,560 Speaker 1: it's worth pointing out that there is, at least so far, 594 00:34:14,040 --> 00:34:17,360 Speaker 1: I think very likely protection. And this is why, again 595 00:34:18,239 --> 00:34:20,879 Speaker 1: Buck and I continue to say this, if I were 596 00:34:20,920 --> 00:34:24,719 Speaker 1: a senior citizen, I would go get every COVID shot 597 00:34:24,760 --> 00:34:27,080 Speaker 1: I could, and I would get the booster. And if 598 00:34:27,120 --> 00:34:31,880 Speaker 1: I was morbidly obese or even just significantly obese, I 599 00:34:31,880 --> 00:34:35,840 Speaker 1: would go get the COVID shots because the data reflects 600 00:34:35,880 --> 00:34:40,000 Speaker 1: that the elderly and the obese are particularly susceptible as disease, 601 00:34:40,239 --> 00:34:42,800 Speaker 1: and I think those shots can help as much as possible. 602 00:34:42,920 --> 00:34:46,760 Speaker 1: Just we keep reiterating this. Clay's parents vaccinated and boosted, 603 00:34:46,920 --> 00:34:49,319 Speaker 1: My parents vaccinated and boost That's right. Judge, you know, 604 00:34:49,360 --> 00:34:52,040 Speaker 1: judge people at some level by their actions. First and 605 00:34:52,040 --> 00:34:56,000 Speaker 1: foremost right, so vaccinated and boosted because they're in that 606 00:34:56,040 --> 00:34:59,000 Speaker 1: age category, and there are some comorbidities to take into account. 607 00:34:59,280 --> 00:35:01,000 Speaker 1: All right, we've all I got interesting call here from 608 00:35:01,040 --> 00:35:06,480 Speaker 1: Casey in Elk Grove, California. Casey, what's going on? I 609 00:35:06,719 --> 00:35:11,840 Speaker 1: see a slew of wrongful termination lawsuits coming because the 610 00:35:11,920 --> 00:35:18,000 Speaker 1: reason for firing all these people is no longer valid. Interesting, Clay, 611 00:35:18,040 --> 00:35:21,520 Speaker 1: what do you think? Well, I'm not, at first of all, 612 00:35:21,560 --> 00:35:24,960 Speaker 1: an expert in every state's labor unemployment law wrong full 613 00:35:25,040 --> 00:35:29,840 Speaker 1: termination lawsuits, but I do think it's significant les less 614 00:35:29,840 --> 00:35:32,200 Speaker 1: likely than those lawsuits. I think buck is what we're 615 00:35:32,200 --> 00:35:36,560 Speaker 1: seeing now. They are now bringing back COVID positive nurses. Again, 616 00:35:36,640 --> 00:35:41,520 Speaker 1: let me repeat this. COVID positive nurses are being brought 617 00:35:41,600 --> 00:35:46,239 Speaker 1: back because there is such a lack of nursing capability, 618 00:35:46,280 --> 00:35:49,120 Speaker 1: because so many people are testing positive for omicron, and 619 00:35:49,200 --> 00:35:52,279 Speaker 1: because they fired people. I think what's more likely is 620 00:35:52,320 --> 00:35:54,880 Speaker 1: a lot of businesses are going to say, if you 621 00:35:54,960 --> 00:35:57,640 Speaker 1: were good at your job before and you left over 622 00:35:57,760 --> 00:36:00,640 Speaker 1: vaccine mandates, I think a lot of business are going 623 00:36:00,680 --> 00:36:03,799 Speaker 1: to be given difficulties of hiring, reaching back out to 624 00:36:03,880 --> 00:36:06,400 Speaker 1: some of those people and saying, if the Supreme Court 625 00:36:06,680 --> 00:36:09,120 Speaker 1: puts a stay in place and or strikes down this 626 00:36:09,200 --> 00:36:12,440 Speaker 1: vaccine mandate, I think you'll see a rapid response to 627 00:36:12,480 --> 00:36:16,400 Speaker 1: bring back those people not needing. As many lawsuits as 628 00:36:16,400 --> 00:36:18,919 Speaker 1: a result. But the real monster here, folks, the many 629 00:36:19,000 --> 00:36:22,319 Speaker 1: headed hydra that led to the terminations of people from 630 00:36:22,320 --> 00:36:25,440 Speaker 1: their jobs, was government policy. Just remember that it was 631 00:36:25,480 --> 00:36:28,440 Speaker 1: the government under this Biden regime that kicked in and 632 00:36:28,480 --> 00:36:31,359 Speaker 1: said you get the shot or you get fired, because 633 00:36:31,400 --> 00:36:34,839 Speaker 1: they made it impossible for businesses to continue operations. They 634 00:36:34,840 --> 00:36:36,759 Speaker 1: were going to find them, they were going to harass them, 635 00:36:36,960 --> 00:36:39,000 Speaker 1: and in places like New York, there there's no choice 636 00:36:39,000 --> 00:36:40,960 Speaker 1: at all. It wasn't even a function of whether you 637 00:36:41,000 --> 00:36:44,960 Speaker 1: wanted testing or something else. Speaking of New York, is 638 00:36:45,000 --> 00:36:47,680 Speaker 1: this place doomed? We got a new mayor, We've got 639 00:36:47,760 --> 00:36:50,799 Speaker 1: some big things that happened last few days. I'll give 640 00:36:50,840 --> 00:36:53,200 Speaker 1: you the straight scoop on what's happening here. We'll talk 641 00:36:53,239 --> 00:36:55,480 Speaker 1: about some other things too across the country. Stick around. 642 00:37:01,200 --> 00:37:04,480 Speaker 1: You're listening to Clay Travis and Buck Sexton on the 643 00:37:04,719 --> 00:37:06,120 Speaker 1: EIB Network.