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 --> 00:00:07,760 Speaker 1: Sexton Show podcast. Welcome in everybody, our friends and fellow 3 00:00:07,800 --> 00:00:12,480 Speaker 1: patriots to the Clay Travis and Buck Sexton Show. It's 4 00:00:12,520 --> 00:00:16,239 Speaker 1: a Monday, and that means there's so much to talk 5 00:00:16,280 --> 00:00:21,160 Speaker 1: about to set up to dive into together. We have 6 00:00:21,760 --> 00:00:26,400 Speaker 1: the continuing fallout over fist bump gates. I guess we 7 00:00:26,400 --> 00:00:29,440 Speaker 1: could call it that, with Joe Biden seeming to be 8 00:00:29,480 --> 00:00:32,199 Speaker 1: a little too cozy with dictators after sake, he'd make 9 00:00:32,280 --> 00:00:36,720 Speaker 1: Saudi Arabia a pariah state. We'll have some analysis on 10 00:00:36,800 --> 00:00:38,440 Speaker 1: that for you coming up in a bit of Washington 11 00:00:38,440 --> 00:00:42,040 Speaker 1: Post over the weekend saying gotta cut one of their editorialists, 12 00:00:42,080 --> 00:00:45,680 Speaker 1: gotta cut Biden some slack on you know. I mean, 13 00:00:45,680 --> 00:00:47,640 Speaker 1: it wasn't a high five, it was a fist bump. 14 00:00:47,720 --> 00:00:51,240 Speaker 1: Don't worry about that. We also have Leah Thomas, so 15 00:00:51,320 --> 00:00:55,920 Speaker 1: we've talked about here pretty pretty extensively on the show. 16 00:00:56,080 --> 00:00:59,680 Speaker 1: The NC Double, a women's freestyle champion who is a 17 00:01:00,000 --> 00:01:04,840 Speaker 1: biological mail getting the u penn University of Pennsylvania Ivy 18 00:01:04,920 --> 00:01:10,440 Speaker 1: League School Woman of the Year Award. Because it's never 19 00:01:10,520 --> 00:01:15,600 Speaker 1: about tolerance and acceptance, it is about forced celebration. We'll 20 00:01:15,640 --> 00:01:21,040 Speaker 1: discuss that more on the economy and inflation, because Joe 21 00:01:21,160 --> 00:01:24,000 Speaker 1: Mansion saying that this is just not going to happen 22 00:01:24,080 --> 00:01:26,120 Speaker 1: for Biden. So the clock is running out. Are they 23 00:01:26,240 --> 00:01:30,560 Speaker 1: gonna slip something through at the last minute? Oh a BLM, 24 00:01:30,640 --> 00:01:32,560 Speaker 1: I really was serious. We got a ton of stories today. 25 00:01:32,600 --> 00:01:37,920 Speaker 1: A b l M protest in Minneapolis where BLM two 26 00:01:37,920 --> 00:01:43,040 Speaker 1: point er got going. That is confronted by a victim 27 00:01:43,360 --> 00:01:49,880 Speaker 1: of the supposed BLM martyr in this case. So we 28 00:01:49,960 --> 00:01:53,440 Speaker 1: will discuss that as well in a moment. But something 29 00:01:53,440 --> 00:01:57,320 Speaker 1: that I can't I just can't shake. I can't let 30 00:01:57,360 --> 00:02:00,480 Speaker 1: this go. Oh wait, well there's many others stories too. 31 00:02:00,640 --> 00:02:04,600 Speaker 1: I'll leave it at that one. But you have see 32 00:02:04,600 --> 00:02:07,800 Speaker 1: Cliss what happens. I'm like, wait, but there's more, there's more. Mondays, 33 00:02:07,840 --> 00:02:11,040 Speaker 1: there usually are a lot of stories that stack up Monday. 34 00:02:11,120 --> 00:02:13,120 Speaker 1: You know, you get you get the Saturday benefit, the 35 00:02:13,160 --> 00:02:17,000 Speaker 1: Sunday benefit, plus Friday evening, when oftentimes there's still news 36 00:02:17,080 --> 00:02:19,120 Speaker 1: dumps where people try to put something out to get 37 00:02:19,200 --> 00:02:23,160 Speaker 1: less attention than it otherwise would. So we are generally overloaded. 38 00:02:23,200 --> 00:02:26,720 Speaker 1: Should also mentioned Senator Ronson's gonna be with us from Wisconsin. 39 00:02:27,440 --> 00:02:30,600 Speaker 1: We kind of hinted at this, but they wouldn't. Even 40 00:02:30,639 --> 00:02:32,680 Speaker 1: all of the people who are attempting to run against 41 00:02:32,800 --> 00:02:36,800 Speaker 1: him in Wisconsin were asked whether men could get pregnant, 42 00:02:37,120 --> 00:02:40,960 Speaker 1: and no Democrat running for the Senate in Wisconsin would 43 00:02:41,040 --> 00:02:45,000 Speaker 1: say men cannot get pregnant. He'll talk about the border too. 44 00:02:45,000 --> 00:02:47,240 Speaker 1: Plus Stephen Miller is going to be with us, and 45 00:02:47,280 --> 00:02:49,519 Speaker 1: the border just continues to be a sieve. So we 46 00:02:49,600 --> 00:02:50,919 Speaker 1: got a bunch of stuff to get too with those 47 00:02:50,919 --> 00:02:54,760 Speaker 1: guys as well. And this is what I was seeing 48 00:02:54,800 --> 00:03:00,639 Speaker 1: over the weekends. And there are very few things because 49 00:03:00,680 --> 00:03:03,280 Speaker 1: I understand I think that the Libs in general are 50 00:03:03,280 --> 00:03:05,840 Speaker 1: a little crazy. I think there's something a little off 51 00:03:05,880 --> 00:03:09,120 Speaker 1: about them, emotional instability, a lack of reason, a lack 52 00:03:09,120 --> 00:03:13,080 Speaker 1: of accountability for their ideas and beliefs and how they 53 00:03:13,080 --> 00:03:16,239 Speaker 1: actually play out in the real world. But the devotion 54 00:03:16,320 --> 00:03:20,000 Speaker 1: to mask mandates still that you see popping up here, 55 00:03:20,040 --> 00:03:22,880 Speaker 1: and there is something clay that I do start to 56 00:03:23,080 --> 00:03:25,320 Speaker 1: I do start to lose my cool a little bit 57 00:03:25,360 --> 00:03:28,040 Speaker 1: with these people, because we all know that it's never 58 00:03:28,320 --> 00:03:31,320 Speaker 1: it's just like so many other things. They're so passive aggressive, 59 00:03:31,520 --> 00:03:33,960 Speaker 1: Why can't I just wear a mask now? Because we 60 00:03:34,120 --> 00:03:37,160 Speaker 1: know as more cases happen, you're gonna say, Okay, that's it. 61 00:03:37,240 --> 00:03:40,760 Speaker 1: Everybody has to do it. The White House Coronavirus Response 62 00:03:40,840 --> 00:03:45,760 Speaker 1: Coordinator over the weekend, doctor Ashish Jah here, he is 63 00:03:47,680 --> 00:03:50,960 Speaker 1: telling everybody it's really important to remind people of the science, 64 00:03:50,960 --> 00:03:52,960 Speaker 1: the public health science, and the public health science is 65 00:03:53,040 --> 00:03:55,840 Speaker 1: very clear if you're in a crowded indoor space that 66 00:03:55,960 --> 00:03:59,480 Speaker 1: especially if it's poorly ventilated. Now, wearing a mask reduces 67 00:03:59,560 --> 00:04:02,200 Speaker 1: your risk of infection and reduces your risk of spreading 68 00:04:02,240 --> 00:04:04,600 Speaker 1: it to others. So we've got to continue encourage people 69 00:04:04,640 --> 00:04:07,280 Speaker 1: to do that and then encouraging people to get you know, 70 00:04:07,400 --> 00:04:10,120 Speaker 1: vaccinated and get up to data on their vaccines. Can 71 00:04:10,160 --> 00:04:12,200 Speaker 1: I just say, Clay, before we even get a vaccine 72 00:04:12,240 --> 00:04:15,480 Speaker 1: part reduces it? How much? If you're going to tell 73 00:04:15,520 --> 00:04:18,120 Speaker 1: me it's based in science and data, you should have 74 00:04:18,160 --> 00:04:20,760 Speaker 1: a number. Now, we might even argue over the number, 75 00:04:20,800 --> 00:04:23,920 Speaker 1: but why do we never get told how much reduction? 76 00:04:24,400 --> 00:04:28,120 Speaker 1: Because some of the better designed and ninety five mask 77 00:04:28,320 --> 00:04:32,880 Speaker 1: in laboratory setting, real world studies think that the reduction 78 00:04:32,920 --> 00:04:37,919 Speaker 1: and aerosolized virus is like fifteen percent ten percent and 79 00:04:38,000 --> 00:04:42,200 Speaker 1: that's best case scenario. The cloth mask is probably point 80 00:04:42,279 --> 00:04:47,320 Speaker 1: zero zero one percent. And what we have learned is 81 00:04:47,480 --> 00:04:48,920 Speaker 1: I saw this. I don't know if you saw this 82 00:04:48,960 --> 00:04:52,960 Speaker 1: one Buck, this guy named Jake Keane, who is his first. 83 00:04:52,960 --> 00:04:57,800 Speaker 1: Of all, if your Twitter handle involves any degree that 84 00:04:57,960 --> 00:05:02,960 Speaker 1: you have ever received, you are a huge loser. Let 85 00:05:03,040 --> 00:05:04,960 Speaker 1: me just toss that out in general. If you are 86 00:05:04,960 --> 00:05:08,200 Speaker 1: listening to us right now and you put the fact 87 00:05:08,279 --> 00:05:11,440 Speaker 1: that you have an advanced degree in your Twitter handle, 88 00:05:11,880 --> 00:05:16,200 Speaker 1: then you need to seriously reconsider many things in your life. 89 00:05:16,200 --> 00:05:18,520 Speaker 1: But this guy is amazing. I don't even know what 90 00:05:18,560 --> 00:05:26,120 Speaker 1: some of these things are. Jake Keene MD, MSFCCMFAAP and 91 00:05:26,200 --> 00:05:30,680 Speaker 1: his Twitter handle is at Jake Kane MD. This is 92 00:05:30,680 --> 00:05:35,200 Speaker 1: what he tweeted COVID nineteen hashtag of course has hit 93 00:05:35,320 --> 00:05:41,000 Speaker 1: my kid. We vaccinated masked eight outside and yet I 94 00:05:41,800 --> 00:05:45,640 Speaker 1: all caps hate the people who downplayed mask That would 95 00:05:45,640 --> 00:05:49,120 Speaker 1: be you and me, Buck yep, and continue to push misinformation. 96 00:05:49,680 --> 00:05:53,480 Speaker 1: The disappointment on his face as we cancel long made 97 00:05:53,560 --> 00:06:00,200 Speaker 1: plans is devastating. Hashtag covid is not over hashtag even 98 00:06:00,240 --> 00:06:03,000 Speaker 1: know this, there's a thing, but there's so many hashtags. 99 00:06:03,520 --> 00:06:05,640 Speaker 1: The more hashtags, the more you know you're dealing with 100 00:06:05,640 --> 00:06:09,920 Speaker 1: a live loon. Uh hashtag COVID is not over hashtag 101 00:06:09,960 --> 00:06:13,880 Speaker 1: I didn't even know this was a thing, tweet tweety attrition. 102 00:06:14,040 --> 00:06:16,880 Speaker 1: I guess there are pediatricians who tweet and have turned 103 00:06:16,920 --> 00:06:21,680 Speaker 1: mixed the I don't know and hashtag parenting. Um so 104 00:06:22,040 --> 00:06:28,320 Speaker 1: I read things like this from Jake Kane, m D, MSFCCM, FAAP. 105 00:06:29,080 --> 00:06:31,720 Speaker 1: All of that is in his Twitter like name, however, 106 00:06:31,800 --> 00:06:34,080 Speaker 1: you do does he have a Ukraine flag in there anywhere? 107 00:06:34,120 --> 00:06:36,880 Speaker 1: By the way, what do you think it's bio? Say, well, 108 00:06:37,240 --> 00:06:39,120 Speaker 1: he doesn't care about Zelenski, so how can we take 109 00:06:39,200 --> 00:06:43,760 Speaker 1: him seriously? He's an advocate for kids? Uh so anyway, 110 00:06:43,880 --> 00:06:46,840 Speaker 1: I mean, this guy is clearly a clown. Um, but 111 00:06:47,680 --> 00:06:52,080 Speaker 1: this is emblematic of the era of expert that we 112 00:06:52,279 --> 00:06:57,240 Speaker 1: have created. Your kids. I'm not a FAAP, I'm I'm 113 00:06:57,320 --> 00:07:00,680 Speaker 1: gonna be clear, I'm not FCCM, I'm not MS, and 114 00:07:00,800 --> 00:07:02,600 Speaker 1: I don't have an m D. Let me just tell 115 00:07:02,640 --> 00:07:06,160 Speaker 1: you this, your kids are gonna get COVID. Every single 116 00:07:06,279 --> 00:07:08,480 Speaker 1: one of you listening right now. You're a Republican, you're 117 00:07:08,480 --> 00:07:12,119 Speaker 1: a Democrat, you're an independent, black, white Asian, Hispanic. Doesn't 118 00:07:12,120 --> 00:07:14,800 Speaker 1: matter what your gender is, doesn't matter what your kids 119 00:07:14,880 --> 00:07:18,000 Speaker 1: identify as. They're all gonna get COVID, every single one 120 00:07:18,040 --> 00:07:22,280 Speaker 1: of them. And we know, Buck, already, most of your 121 00:07:22,400 --> 00:07:24,640 Speaker 1: kids have probably already had COVID. What were we at 122 00:07:24,720 --> 00:07:27,840 Speaker 1: back in March, they said seventy five percent yep, basically 123 00:07:27,920 --> 00:07:31,080 Speaker 1: of all kids had already had COVID based on purology tests. 124 00:07:31,160 --> 00:07:34,360 Speaker 1: I was saying Clay in the late spring of twenty twenty. 125 00:07:34,520 --> 00:07:37,680 Speaker 1: People need to understand that everybody's gonna get COVID. That's 126 00:07:37,680 --> 00:07:39,760 Speaker 1: actually what's going to happen, the same way that everybody 127 00:07:39,840 --> 00:07:42,720 Speaker 1: gets the common cold. Everybody's gonna get COVID. And both 128 00:07:42,800 --> 00:07:45,000 Speaker 1: of us have had COVID twice. I would venture that 129 00:07:45,200 --> 00:07:48,720 Speaker 1: my kids, all three of them, have had COVID. Every 130 00:07:48,920 --> 00:07:52,280 Speaker 1: single kid in America and pretty much around the world 131 00:07:52,680 --> 00:07:55,880 Speaker 1: is going to get COVID. It's an inevitable. It's an inevitability, 132 00:07:56,080 --> 00:07:57,960 Speaker 1: and they may get it more than once. And so 133 00:07:58,080 --> 00:08:01,040 Speaker 1: when I see this guy flipping out over the fact 134 00:08:01,120 --> 00:08:04,360 Speaker 1: that his son got COVID, I wonder, Buck, how many 135 00:08:04,440 --> 00:08:08,040 Speaker 1: people out there think that their kids are not going 136 00:08:08,160 --> 00:08:10,840 Speaker 1: to get COVID and worse than that for the kid. 137 00:08:10,960 --> 00:08:15,360 Speaker 1: I think, because you're basically sentencing them to home confinement. 138 00:08:16,400 --> 00:08:19,640 Speaker 1: How many people think they can stop their kids from 139 00:08:19,680 --> 00:08:23,080 Speaker 1: getting COVID based on the life choices that they make 140 00:08:23,320 --> 00:08:26,160 Speaker 1: for those kids. The fact that people like this, who 141 00:08:26,280 --> 00:08:29,680 Speaker 1: have mds, as this guy clearly wants you to know, 142 00:08:30,760 --> 00:08:33,400 Speaker 1: would still believe things like this two and a half 143 00:08:33,520 --> 00:08:37,640 Speaker 1: years into COVID makes me question how we're still here. 144 00:08:37,920 --> 00:08:41,439 Speaker 1: Can the White House and people anyone who's thinking about this. 145 00:08:41,559 --> 00:08:44,200 Speaker 1: And I know if you live in Texas and Florida 146 00:08:44,280 --> 00:08:47,800 Speaker 1: and Oklahoma and the Dakotas and the Carolinas, and we 147 00:08:47,880 --> 00:08:50,559 Speaker 1: have these wonderful audiences there and these great affiliates in 148 00:08:50,600 --> 00:08:53,679 Speaker 1: those states, you're thinking this is a coastal problem. I 149 00:08:53,800 --> 00:08:57,040 Speaker 1: am unfortunately here to remind everybody. They'll bring the mask 150 00:08:57,120 --> 00:09:00,840 Speaker 1: mandates back on planes, they'll bring it back into federal buildings. 151 00:09:01,000 --> 00:09:04,400 Speaker 1: They're still firing people from the National Guard across the 152 00:09:04,559 --> 00:09:06,840 Speaker 1: nation for if you want to get to vaccine, you're 153 00:09:07,200 --> 00:09:10,240 Speaker 1: in your blue city, even if you live in a 154 00:09:10,440 --> 00:09:13,040 Speaker 1: red state. You know you're listening to us in Louisville 155 00:09:13,120 --> 00:09:15,679 Speaker 1: or Memphis or Nashville or Birmingham, like you're in a 156 00:09:15,720 --> 00:09:18,199 Speaker 1: red state that could still happen to you. And they 157 00:09:18,400 --> 00:09:24,680 Speaker 1: have admitted no wrongdoing, no being wrong. They still think 158 00:09:24,840 --> 00:09:28,360 Speaker 1: that what they did, all of it was worth. Lockdowns 159 00:09:28,400 --> 00:09:33,440 Speaker 1: were worthwhile, masks were worthwhile and mandatory and they're necessary vaccines. 160 00:09:34,320 --> 00:09:36,480 Speaker 1: Ah and no, that's what I mean. But they think, 161 00:09:36,520 --> 00:09:40,640 Speaker 1: they think they did a great job. They've convinced themselves 162 00:09:40,720 --> 00:09:43,079 Speaker 1: of this. And here is the White House. Remember this 163 00:09:43,240 --> 00:09:46,559 Speaker 1: is the COVID, the official COVID coordinator who they're having 164 00:09:46,679 --> 00:09:49,160 Speaker 1: do more more talking than Fauci. Listen to this. My 165 00:09:49,400 --> 00:09:51,360 Speaker 1: view on this has been for really for two years, 166 00:09:51,440 --> 00:09:53,280 Speaker 1: well before I came into this current roll. My view 167 00:09:53,320 --> 00:09:57,560 Speaker 1: on this has been very clear, which is local jurisdictions, cities, counties, 168 00:09:57,679 --> 00:10:01,800 Speaker 1: states should make decisions about mandates because communities are different 169 00:10:02,200 --> 00:10:05,840 Speaker 1: and their patterns of transmission are different. That said, CDC 170 00:10:06,000 --> 00:10:08,000 Speaker 1: has very clear guidance on this as well through their 171 00:10:08,000 --> 00:10:11,520 Speaker 1: COVID community levels. And the CDC recommendation is that when 172 00:10:11,520 --> 00:10:13,800 Speaker 1: you're in a high zone, that sort of orange zone 173 00:10:14,200 --> 00:10:17,600 Speaker 1: as La County is, you know, people wearing masks indoors 174 00:10:17,800 --> 00:10:20,280 Speaker 1: is really important and it really will make a difference. Okay, 175 00:10:20,480 --> 00:10:22,959 Speaker 1: first of all, it really will make a difference. This 176 00:10:23,160 --> 00:10:25,719 Speaker 1: person is out of his mind. I live in the 177 00:10:25,840 --> 00:10:30,959 Speaker 1: most mask obsessed place in the entire United States. It 178 00:10:31,080 --> 00:10:34,400 Speaker 1: made no difference. All of my mask and ninety five 179 00:10:34,559 --> 00:10:38,320 Speaker 1: double mash don't touch me. I'm terrified. Neighbors got COVID, 180 00:10:38,440 --> 00:10:41,680 Speaker 1: everybody got COVID, made no difference whatsoever. They can't show 181 00:10:41,800 --> 00:10:45,679 Speaker 1: any difference in the data because it doesn't exist. And 182 00:10:46,120 --> 00:10:48,120 Speaker 1: the fact though that notice he goes to the cities, 183 00:10:48,160 --> 00:10:52,000 Speaker 1: he's essentially telling the cities, Hey, this whole color coordinated 184 00:10:52,080 --> 00:10:55,240 Speaker 1: thing a red zone, an orange zone. Who wants to 185 00:10:55,360 --> 00:10:59,200 Speaker 1: live their life this way? Only brainwash lives who think 186 00:10:59,240 --> 00:11:02,960 Speaker 1: that the government is really still protecting them. San Diego County, 187 00:11:03,240 --> 00:11:06,360 Speaker 1: which I know it's summer session, but schools masks are 188 00:11:06,400 --> 00:11:09,520 Speaker 1: back today in schools there, folks. Los Angeles County is 189 00:11:09,640 --> 00:11:13,120 Speaker 1: like ten days away from a full on mask mandate. 190 00:11:13,400 --> 00:11:16,680 Speaker 1: New York City not far behind. Are not very smart 191 00:11:16,800 --> 00:11:19,600 Speaker 1: mayor not very smart at all, is a big believer 192 00:11:19,800 --> 00:11:23,000 Speaker 1: in masks in New York City. So this is where 193 00:11:23,000 --> 00:11:25,959 Speaker 1: we're heading. And when we get into the cycle of 194 00:11:26,160 --> 00:11:29,160 Speaker 1: of COVID that's going to go through the country, it 195 00:11:29,360 --> 00:11:32,520 Speaker 1: will result And I think their restoration by Biden of 196 00:11:32,559 --> 00:11:34,600 Speaker 1: the mask mandate because if they if they get crushed 197 00:11:34,600 --> 00:11:37,320 Speaker 1: in the midterms, the game is over for them anyway, right, 198 00:11:37,360 --> 00:11:39,400 Speaker 1: So they're just going to try to abuse executive authority 199 00:11:39,440 --> 00:11:41,959 Speaker 1: wherever they can. But we do it. There is some 200 00:11:42,080 --> 00:11:43,400 Speaker 1: good news on this. Do you want to hold there? 201 00:11:43,440 --> 00:11:46,120 Speaker 1: There's a doctor in LA there's some good news. I 202 00:11:46,200 --> 00:11:49,079 Speaker 1: want to hit the And we should mention too that 203 00:11:49,280 --> 00:11:52,840 Speaker 1: while all of these mandates are going to be rolling out, 204 00:11:54,480 --> 00:11:57,439 Speaker 1: the one positive in addition to the audio that we're 205 00:11:57,440 --> 00:12:00,760 Speaker 1: about to play you is most we don't know a 206 00:12:00,880 --> 00:12:03,959 Speaker 1: total count of COVID because most people have just stopped testing. 207 00:12:04,440 --> 00:12:07,120 Speaker 1: That that, I would say is one small measure of 208 00:12:07,920 --> 00:12:11,200 Speaker 1: comfort in the same way that for most of our lives, 209 00:12:11,360 --> 00:12:13,880 Speaker 1: if we've gotten the flu. I've never gotten a flu 210 00:12:14,000 --> 00:12:15,960 Speaker 1: test in my life. I know I've had the flu 211 00:12:16,120 --> 00:12:20,840 Speaker 1: several times. Most people in America are now done with testing. 212 00:12:21,000 --> 00:12:22,800 Speaker 1: They're just saying, screw it. If I don't feel well, 213 00:12:22,840 --> 00:12:24,640 Speaker 1: maybe you stay home. I don't know if it's COVID, 214 00:12:24,640 --> 00:12:25,880 Speaker 1: I don't know if it's a flu. I don't know 215 00:12:25,880 --> 00:12:29,360 Speaker 1: if it's a cold. But otherwise they're kind of getting 216 00:12:29,400 --> 00:12:32,040 Speaker 1: back to normal because if we were still testing the 217 00:12:32,120 --> 00:12:34,280 Speaker 1: same way that we have in the past, we would 218 00:12:34,320 --> 00:12:36,160 Speaker 1: be through the roof. In terms of the number of 219 00:12:36,240 --> 00:12:38,160 Speaker 1: cases that are going on, there are there are some 220 00:12:38,559 --> 00:12:42,040 Speaker 1: we often have some honestly some some just great health 221 00:12:42,120 --> 00:12:45,440 Speaker 1: professionals and rave people on the show, like doctor Marty McCarry, 222 00:12:46,520 --> 00:12:49,359 Speaker 1: and we have you know, people that chase the data fearlessly, 223 00:12:49,480 --> 00:12:52,520 Speaker 1: like Alex Barrinson back on Twitter. There are some other 224 00:12:52,640 --> 00:12:55,520 Speaker 1: voices that we are starting to hear the beginnings of 225 00:12:55,600 --> 00:12:58,120 Speaker 1: it to say, guys, we really can't do this again. 226 00:12:58,280 --> 00:13:01,480 Speaker 1: You know you can fire me from my hospital job. 227 00:13:01,920 --> 00:13:04,480 Speaker 1: We really can't do this again. We're starting to see 228 00:13:04,520 --> 00:13:06,559 Speaker 1: I think a little bit of that percolate. So we 229 00:13:06,640 --> 00:13:08,439 Speaker 1: want to encourage and Clay, I know you've got a 230 00:13:08,559 --> 00:13:10,120 Speaker 1: great example of it. When we come back here to 231 00:13:10,200 --> 00:13:12,560 Speaker 1: second you're all gonna want to hear it. Verizon AT 232 00:13:12,760 --> 00:13:14,840 Speaker 1: and T and T Mobile are charging you a premium 233 00:13:14,920 --> 00:13:16,880 Speaker 1: fee for data you don't use on your cell phones, 234 00:13:16,960 --> 00:13:20,400 Speaker 1: and it's so unnecessary. 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I repeat, Pure talks five 245 00:13:46,840 --> 00:13:49,920 Speaker 1: G service is that good? So if you're ready to 246 00:13:50,040 --> 00:13:52,520 Speaker 1: join me in making a switch, move to pure Talk 247 00:13:52,640 --> 00:13:55,680 Speaker 1: now you'll get a month free. Grab your cell phone 248 00:13:55,760 --> 00:13:58,959 Speaker 1: dial pound two five zero and just say Clay and 249 00:13:59,280 --> 00:14:02,400 Speaker 1: Buck Pure talks, no risk, money back guarantee you're not 250 00:14:02,480 --> 00:14:06,280 Speaker 1: going to regret this. Dial pound two five zero and 251 00:14:06,520 --> 00:14:09,360 Speaker 1: say Clay and Buck. Sign up and get a month 252 00:14:09,640 --> 00:14:12,960 Speaker 1: free dial pound two five zero say Clay and Buck. 253 00:14:13,080 --> 00:14:19,600 Speaker 1: Pure Talk is simply smarter. Welcome back in Clay, Travis 254 00:14:19,680 --> 00:14:22,480 Speaker 1: Buck Sexton Show. Appreciate all of you hanging out with us. 255 00:14:22,640 --> 00:14:25,160 Speaker 1: We wanted to talk about what's going on. First of all, 256 00:14:25,160 --> 00:14:28,400 Speaker 1: we're number one in San Diego. Appreciate all of you. 257 00:14:28,720 --> 00:14:32,840 Speaker 1: Run Burgundy Voice there and we got a monster audience 258 00:14:32,880 --> 00:14:35,720 Speaker 1: in La and San Diego is putting their kids back 259 00:14:35,920 --> 00:14:39,360 Speaker 1: in masks Unfortunately, a lot of kids in California, I 260 00:14:39,440 --> 00:14:43,560 Speaker 1: would bet come when school returns there in September late August, 261 00:14:43,640 --> 00:14:46,120 Speaker 1: are going to be required to wear masks based on 262 00:14:46,240 --> 00:14:49,720 Speaker 1: where the numbers are likely to be. But one of 263 00:14:49,800 --> 00:14:54,480 Speaker 1: the justifications that's being used to support this decision is 264 00:14:54,560 --> 00:14:57,400 Speaker 1: what's going on in the hospitals. And there were a 265 00:14:57,600 --> 00:15:01,920 Speaker 1: couple of courageous guys out there who decided inside of 266 00:15:02,000 --> 00:15:06,160 Speaker 1: the hospitals to actually speak out regarding what they are 267 00:15:06,280 --> 00:15:10,600 Speaker 1: seeing in terms of the health that is occurring. These 268 00:15:10,640 --> 00:15:16,000 Speaker 1: are La County and USC epidemiologist Paul Holtem as well 269 00:15:16,120 --> 00:15:19,400 Speaker 1: as Brad Spelberg. I want you guys to hear what 270 00:15:19,480 --> 00:15:22,520 Speaker 1: they're what they're saying, it's the experience of our hospitals 271 00:15:22,600 --> 00:15:25,280 Speaker 1: reflective across the county, which I believe it is. We're 272 00:15:25,320 --> 00:15:28,920 Speaker 1: just seeing nobody with severe COVID disease. Says that this morning, 273 00:15:29,280 --> 00:15:33,560 Speaker 1: we have no one in the hospital who had pulmonary 274 00:15:33,640 --> 00:15:36,720 Speaker 1: disease due to COVID. Nobody in the hospital. We have 275 00:15:37,080 --> 00:15:40,640 Speaker 1: twenty four people who have tested positive for COVID, but nobody, 276 00:15:41,360 --> 00:15:45,840 Speaker 1: nobody who had COVID nineteen disease as we would see 277 00:15:46,000 --> 00:15:50,560 Speaker 1: in the past, and then also another clip. I believe 278 00:15:50,640 --> 00:15:52,320 Speaker 1: Buck and again, I just want to hammer this home 279 00:15:52,320 --> 00:15:54,560 Speaker 1: because this is something Buck and Eye and many people 280 00:15:54,600 --> 00:15:56,400 Speaker 1: who actually look at the data have been saying for 281 00:15:56,480 --> 00:15:58,720 Speaker 1: a long time. There's a difference between people who were 282 00:15:58,800 --> 00:16:03,480 Speaker 1: hospitalized with COVID, in other words, testing incidental. You come 283 00:16:03,520 --> 00:16:05,400 Speaker 1: in for a knee replacement, they find out that you 284 00:16:05,520 --> 00:16:10,280 Speaker 1: have COVID, and also people who are there because of COVID. 285 00:16:10,400 --> 00:16:12,200 Speaker 1: Listen to this. This is LA where they're about to 286 00:16:12,240 --> 00:16:16,040 Speaker 1: reinstitute MASK. Only ten percent of our COVID positive admissions 287 00:16:16,080 --> 00:16:19,560 Speaker 1: are admitted due to COVID. Virtually none of them go 288 00:16:19,680 --> 00:16:22,600 Speaker 1: to the ICU, and when they do go to the ICU, 289 00:16:22,760 --> 00:16:25,800 Speaker 1: it is not for pneumonia. They are not intubated, They 290 00:16:25,840 --> 00:16:28,960 Speaker 1: are not these horrible one hundred percent FIO. We haven't 291 00:16:29,000 --> 00:16:32,240 Speaker 1: seen one of those since February. It's been months. What 292 00:16:32,440 --> 00:16:37,440 Speaker 1: we see is electrolyte abnormalities or somebody who had autoimmune 293 00:16:37,440 --> 00:16:39,960 Speaker 1: attack of the nerves and could that have been related 294 00:16:40,000 --> 00:16:42,000 Speaker 1: to COVID. That's the kind of stuff that we're seeing. 295 00:16:42,440 --> 00:16:45,000 Speaker 1: It is just not the same pandemic as it was 296 00:16:45,440 --> 00:16:49,000 Speaker 1: despite all the media hype to the contract. These are 297 00:16:49,840 --> 00:16:53,920 Speaker 1: top doctors highly credentialed for all the blue check. I 298 00:16:53,960 --> 00:16:55,680 Speaker 1: can't even think of all the degrees. The other guy 299 00:16:55,720 --> 00:17:01,040 Speaker 1: who said faaacs element ops it is twitter name, he 300 00:17:01,160 --> 00:17:04,280 Speaker 1: had all visit because then then you can't argue with 301 00:17:04,320 --> 00:17:06,359 Speaker 1: the person because they must be so smart. Here you 302 00:17:06,440 --> 00:17:10,600 Speaker 1: have doctors who are effectively telling everybody calm down and 303 00:17:10,760 --> 00:17:15,359 Speaker 1: now not to this audience because they ten percent of 304 00:17:15,480 --> 00:17:20,119 Speaker 1: COVID patients actually have COVID related issues. They have inflated 305 00:17:20,400 --> 00:17:25,880 Speaker 1: and honestly lied about the hospitalization numbers for so long, 306 00:17:26,320 --> 00:17:29,200 Speaker 1: knowing that the numbers are garbage, but using them anyway 307 00:17:29,640 --> 00:17:32,760 Speaker 1: becomes a kind of lie. And that is exactly what 308 00:17:32,920 --> 00:17:35,040 Speaker 1: has happened all through the hospital system. We know that 309 00:17:35,160 --> 00:17:40,119 Speaker 1: hospitals are reimbursed at a certain level based upon COVID admission, 310 00:17:40,160 --> 00:17:41,920 Speaker 1: and there were special money for this. There was all 311 00:17:42,600 --> 00:17:45,879 Speaker 1: We're going to be untangling all the lies and hysteria 312 00:17:46,080 --> 00:17:50,320 Speaker 1: for years over this, but it they'll get away with it, folks, 313 00:17:50,440 --> 00:17:52,280 Speaker 1: unless we hold them to account the midterms. That's why 314 00:17:52,359 --> 00:17:55,640 Speaker 1: we keep talking about it. Our boy Fouci has spoken 315 00:17:55,720 --> 00:17:58,200 Speaker 1: out and made some news. What did he say? Will 316 00:17:58,240 --> 00:18:00,600 Speaker 1: tell you next? It's actually believe it or not? Positive 317 00:18:00,640 --> 00:18:04,520 Speaker 1: But first, my pillow biggest bedsheets sell ever sell is 318 00:18:04,600 --> 00:18:07,760 Speaker 1: on their per Cow sheets that are available in a 319 00:18:07,840 --> 00:18:10,680 Speaker 1: variety of colors and sizes. And just to give you 320 00:18:10,720 --> 00:18:14,480 Speaker 1: an idea of the savings, Queen size sheets regularly priced 321 00:18:14,840 --> 00:18:19,119 Speaker 1: at eighty nine ninety eight now only thirty nine ninety 322 00:18:19,160 --> 00:18:21,439 Speaker 1: eight when you use our names Clay and Buck as 323 00:18:21,480 --> 00:18:24,359 Speaker 1: the promo code. This is a very limited supply, so 324 00:18:24,680 --> 00:18:27,719 Speaker 1: order now because when they're gone, they're gone. You're saving 325 00:18:27,920 --> 00:18:30,840 Speaker 1: more than half. Here's how you get hooked up. These 326 00:18:30,920 --> 00:18:34,240 Speaker 1: sheets are amazing, ten year warranty, sixty to eight money 327 00:18:34,280 --> 00:18:36,920 Speaker 1: back guarantee. Go to my pillow dot com, click on 328 00:18:37,000 --> 00:18:40,000 Speaker 1: the radio listeners square and use the promo code Clay 329 00:18:40,040 --> 00:18:42,600 Speaker 1: and Buck and you can call eight hundred seven nine 330 00:18:42,680 --> 00:18:45,320 Speaker 1: two thirty two sixty nine as well use promo code 331 00:18:45,400 --> 00:18:49,320 Speaker 1: Clay and Buck two. What happened is that I gave 332 00:18:49,359 --> 00:18:51,399 Speaker 1: an interview with a reporter and they said, you know 333 00:18:52,000 --> 00:18:54,159 Speaker 1: you're gonna have to step down sometime. You can't be 334 00:18:54,240 --> 00:18:56,720 Speaker 1: in this job forever. And I said, you're absolutely right. 335 00:18:57,240 --> 00:18:59,760 Speaker 1: I can't be in this job forever. And I don't 336 00:18:59,760 --> 00:19:03,520 Speaker 1: even dissipated. I'll be in this job before the end 337 00:19:03,600 --> 00:19:07,200 Speaker 1: at the end of the first term of President buy it, 338 00:19:07,400 --> 00:19:12,880 Speaker 1: which is January twenty twenty five. Somehow that got interpreted 339 00:19:13,480 --> 00:19:17,480 Speaker 1: that it's announcing my retirement. I just said that it 340 00:19:17,680 --> 00:19:21,080 Speaker 1: is extremely unlikely, in fact, for sure, that I'm not 341 00:19:21,200 --> 00:19:23,960 Speaker 1: going to be here beyond January twenty twenty five. So 342 00:19:24,119 --> 00:19:28,879 Speaker 1: sometime between now, Kate and January twenty twenty five, you 343 00:19:29,000 --> 00:19:32,920 Speaker 1: can guarantee I'll step down. Well, I guess we can 344 00:19:33,040 --> 00:19:36,640 Speaker 1: all be excited about that prospect. Welcome back to Clay 345 00:19:36,680 --> 00:19:41,600 Speaker 1: Anne Buck. Doctor Fauci. I mean, wasn't he wasn't he 346 00:19:41,680 --> 00:19:44,960 Speaker 1: initially hired by President Warren G. Harding. I mean, I 347 00:19:45,040 --> 00:19:48,720 Speaker 1: think he has been in the job forever, as much 348 00:19:48,760 --> 00:19:50,800 Speaker 1: as anyone could be in the job forever. I mean, 349 00:19:50,840 --> 00:19:55,840 Speaker 1: it wasn't wasn't Faucci. It wasn't Fauci, you know around 350 00:19:55,960 --> 00:19:57,879 Speaker 1: in the McKinley era. I mean, it's it's been a 351 00:19:57,960 --> 00:20:00,879 Speaker 1: long time that he's had this job. He's the highest 352 00:20:00,920 --> 00:20:04,040 Speaker 1: paid federal employee, which is what he's quite a feat. 353 00:20:04,080 --> 00:20:08,080 Speaker 1: By the way, there are a lot of cunning bureaucrats 354 00:20:08,640 --> 00:20:11,320 Speaker 1: looking to pad those ot stats. As somebody used to 355 00:20:11,359 --> 00:20:12,920 Speaker 1: work for the federal government. I saw a lot of 356 00:20:12,960 --> 00:20:16,399 Speaker 1: this stuff, and Fauci is the highest paid. There are 357 00:20:16,480 --> 00:20:19,399 Speaker 1: millions of federal government employees. Fauci's the highest paid of 358 00:20:19,520 --> 00:20:24,600 Speaker 1: all of them because he is such a chameleon and 359 00:20:24,720 --> 00:20:27,240 Speaker 1: a bureaucrat who does exactly what he needs to do 360 00:20:28,040 --> 00:20:30,680 Speaker 1: in the moment. But Clay, I don't know if he 361 00:20:30,800 --> 00:20:33,760 Speaker 1: makes it too in his role, if he makes it 362 00:20:33,840 --> 00:20:36,520 Speaker 1: to the end of the Biden first term, because if 363 00:20:36,600 --> 00:20:39,280 Speaker 1: Republicans take back the House in the Senate and they 364 00:20:39,400 --> 00:20:43,119 Speaker 1: do not have I want Faucci under row with people 365 00:20:43,680 --> 00:20:46,400 Speaker 1: running the clock, you know, people actually setting the agenda 366 00:20:46,440 --> 00:20:49,400 Speaker 1: in Congress who were saying, hold on a second, why 367 00:20:49,480 --> 00:20:52,720 Speaker 1: do you keep saying that mass work. Explain this data, 368 00:20:53,080 --> 00:20:57,000 Speaker 1: Explain Orange County versus Los Angeles County. Explain the floor 369 00:20:57,119 --> 00:21:00,119 Speaker 1: to school system, which they just pretend they didn't to 370 00:21:00,160 --> 00:21:02,840 Speaker 1: actually keep good data. They did some schools that masked 371 00:21:02,840 --> 00:21:06,080 Speaker 1: some schools, didn't explain the entire Florida schools system, which 372 00:21:06,080 --> 00:21:09,680 Speaker 1: shows that masscon schools was not only unnecessary, it was 373 00:21:09,720 --> 00:21:13,159 Speaker 1: actually harmful the children. Fauci won't stick around for that 374 00:21:13,320 --> 00:21:17,119 Speaker 1: without the media to totally carry all the water for him. 375 00:21:17,240 --> 00:21:21,080 Speaker 1: I think I think he's going to resign early next year. 376 00:21:21,920 --> 00:21:25,040 Speaker 1: If I were advising him, I would tell him to 377 00:21:25,119 --> 00:21:28,720 Speaker 1: resign immediately right now, because I'll guarantee you what it's 378 00:21:28,720 --> 00:21:32,440 Speaker 1: going to look like when Republicans take back control of 379 00:21:32,560 --> 00:21:35,400 Speaker 1: the House at minimum, and maybe the Senate, but certainly 380 00:21:35,440 --> 00:21:39,040 Speaker 1: the House. There are going to be investigations that rain 381 00:21:39,200 --> 00:21:42,919 Speaker 1: down on doctor Fauci's head finally, and he is going 382 00:21:43,000 --> 00:21:46,200 Speaker 1: to have to answer a lot of real questions under oath. 383 00:21:46,760 --> 00:21:49,560 Speaker 1: And I believe what's going to happen is after he 384 00:21:49,720 --> 00:21:55,520 Speaker 1: gets absolutely wrecked by questioning, he's going to be forced 385 00:21:55,600 --> 00:21:58,840 Speaker 1: out by the Biden White House because they're not going 386 00:21:58,960 --> 00:22:00,960 Speaker 1: to want to continent in you to try to hold 387 00:22:01,080 --> 00:22:04,080 Speaker 1: Fauci up as they continue to sink further and further 388 00:22:04,320 --> 00:22:07,880 Speaker 1: under the water. And so it's going to look way 389 00:22:07,960 --> 00:22:11,359 Speaker 1: worse now than if he just decided to slink away 390 00:22:11,480 --> 00:22:14,120 Speaker 1: before the midterms. And if he decided to slink away 391 00:22:14,200 --> 00:22:17,200 Speaker 1: before the midterms, he could argue that his response his 392 00:22:17,359 --> 00:22:20,760 Speaker 1: departure was not political in nature. What he's trying to 393 00:22:20,800 --> 00:22:23,240 Speaker 1: do now is say, oh, I'm going to leave before 394 00:22:23,400 --> 00:22:26,560 Speaker 1: the end of the Biden administration in January of twenty five, 395 00:22:27,000 --> 00:22:29,480 Speaker 1: so he can try to argue, well, my decision on 396 00:22:29,680 --> 00:22:33,159 Speaker 1: timing is not going to be impacted by politics, because, 397 00:22:33,200 --> 00:22:35,760 Speaker 1: as you well know, Buck, what Fauci always tries to 398 00:22:35,840 --> 00:22:38,000 Speaker 1: say is, I'm not a political person. I don't know 399 00:22:38,080 --> 00:22:40,880 Speaker 1: why you'd even be getting attacked at all. Well, yes, 400 00:22:41,200 --> 00:22:44,760 Speaker 1: you are the most destructive bureaucrat in American history. You, 401 00:22:45,200 --> 00:22:50,680 Speaker 1: I think probably should have faced criminal charges for some 402 00:22:50,960 --> 00:22:54,280 Speaker 1: of the work that you did and help facilitate which 403 00:22:54,440 --> 00:22:57,119 Speaker 1: created And I don't know if we're ever going to 404 00:22:57,200 --> 00:23:01,520 Speaker 1: get the full on accepted version of this as reality, 405 00:23:01,880 --> 00:23:06,639 Speaker 1: but I believe American taxpayer dollars helped to facilitate the 406 00:23:06,960 --> 00:23:11,040 Speaker 1: creation of the COVID virus, which then was released out 407 00:23:11,040 --> 00:23:13,920 Speaker 1: of a Chinese lab. That's how I believe, based on 408 00:23:14,119 --> 00:23:16,760 Speaker 1: all the evidence that I have seen, COVID got out. 409 00:23:16,840 --> 00:23:18,920 Speaker 1: I think you agree with that as well, Buck. I 410 00:23:19,000 --> 00:23:22,440 Speaker 1: think a huge percentage of our audience does. But there 411 00:23:22,560 --> 00:23:25,080 Speaker 1: are lots of people fighting every day to try to 412 00:23:25,200 --> 00:23:27,439 Speaker 1: keep that truth from coming out, and one of them, 413 00:23:27,480 --> 00:23:30,320 Speaker 1: in my opinion, has been Fauci. Based on the emails 414 00:23:30,359 --> 00:23:33,920 Speaker 1: that he sent back in February of twenty twenty, I 415 00:23:34,040 --> 00:23:36,159 Speaker 1: think this guy has been engaged in a cover up 416 00:23:36,480 --> 00:23:39,879 Speaker 1: of how COVID got out and how much American taxpayer 417 00:23:39,960 --> 00:23:43,720 Speaker 1: dollars were involved in the creation of COVID through gain 418 00:23:43,800 --> 00:23:47,200 Speaker 1: of function research. I believe all of that. The data 419 00:23:47,320 --> 00:23:50,119 Speaker 1: is quite clear points to him, and I think he's 420 00:23:50,160 --> 00:23:53,040 Speaker 1: going to skate on it, which is unfortunate. But I 421 00:23:53,200 --> 00:23:55,720 Speaker 1: believe we had a real media and we had a 422 00:23:55,800 --> 00:23:59,320 Speaker 1: real government investigation that took place. Fauci would get caught 423 00:23:59,680 --> 00:24:02,600 Speaker 1: up in and potentially could face criminal charges. I also 424 00:24:02,720 --> 00:24:08,480 Speaker 1: think that Faucci should be thought of as the biomedical 425 00:24:08,560 --> 00:24:11,359 Speaker 1: equivalent of a war criminal, meaning that there should be 426 00:24:11,560 --> 00:24:15,760 Speaker 1: real hearings into the damage that was done by his 427 00:24:15,880 --> 00:24:19,840 Speaker 1: willingness to lie about what was so apparent in his role. 428 00:24:20,400 --> 00:24:24,840 Speaker 1: The fact that he's so evasive, it's so slimy. It's always, oh, 429 00:24:25,040 --> 00:24:28,280 Speaker 1: we're just looking at the science and the data, and 430 00:24:28,840 --> 00:24:32,240 Speaker 1: I'm a scientist, and he's got this routine down where 431 00:24:32,320 --> 00:24:35,760 Speaker 1: no one's ever able to corner him on the fact 432 00:24:35,800 --> 00:24:38,119 Speaker 1: that these were decisions pushed by him. And and doctor 433 00:24:38,280 --> 00:24:41,000 Speaker 1: Burkes too, by the way, who has a book out now. 434 00:24:41,840 --> 00:24:44,240 Speaker 1: Some are saying she is actually worse. I believe we 435 00:24:44,400 --> 00:24:46,440 Speaker 1: had on doctor Scott Atlas, who was part of that 436 00:24:46,560 --> 00:24:51,200 Speaker 1: task force who says doctor doctor Burkes was worse than Fauci, 437 00:24:51,320 --> 00:24:53,399 Speaker 1: which I can she just got out sooner because she 438 00:24:53,600 --> 00:24:56,000 Speaker 1: realized that this is it's going to get harder and 439 00:24:56,119 --> 00:24:59,280 Speaker 1: harder to justify the madness that they inflicted on so 440 00:24:59,400 --> 00:25:02,080 Speaker 1: many people. She seems to make the case that the 441 00:25:02,160 --> 00:25:04,720 Speaker 1: fifteen days to slow the spread was always just a 442 00:25:04,800 --> 00:25:08,159 Speaker 1: starting point, that was always a trojan horse, which is 443 00:25:08,200 --> 00:25:10,240 Speaker 1: a Paul time buck. I think this is such an 444 00:25:10,280 --> 00:25:12,960 Speaker 1: interesting discussion the fifteen days, because You're right her book, 445 00:25:13,040 --> 00:25:15,600 Speaker 1: she basically is arguing, oh, we managed to get Trump 446 00:25:15,680 --> 00:25:18,600 Speaker 1: to do that. What if we had never shut down 447 00:25:18,840 --> 00:25:21,639 Speaker 1: at all? What if And I know I understand the 448 00:25:21,800 --> 00:25:23,920 Speaker 1: argument of hey, we didn't one hundred percent know what 449 00:25:24,080 --> 00:25:27,240 Speaker 1: we were facing, But what if Rand Paul Let's just say, 450 00:25:27,280 --> 00:25:29,880 Speaker 1: what if Rand Paul had been governed, had been president 451 00:25:30,000 --> 00:25:32,359 Speaker 1: at the time when COVID happened, we had a highly 452 00:25:32,400 --> 00:25:35,800 Speaker 1: trained medical physician in office, or we'd had somebody other 453 00:25:35,880 --> 00:25:38,399 Speaker 1: than Burke's and Fauci. But let's pretend what if we 454 00:25:38,480 --> 00:25:42,080 Speaker 1: had never shut down. What if we had never fifteen 455 00:25:42,200 --> 00:25:44,719 Speaker 1: days to stop the spread? We had just had somebody 456 00:25:45,160 --> 00:25:48,360 Speaker 1: in the Oval office who had said, Hey, this thing 457 00:25:48,960 --> 00:25:50,680 Speaker 1: is going to be here for a long time. We 458 00:25:50,800 --> 00:25:53,719 Speaker 1: can't stop it. The evidence is pretty clear we've never 459 00:25:53,840 --> 00:25:56,159 Speaker 1: been able to stop the spread of any virus. We 460 00:25:56,320 --> 00:25:59,080 Speaker 1: are going to continue with our work people who are 461 00:25:59,440 --> 00:26:04,680 Speaker 1: in danger in older elderly you need to protect. We've 462 00:26:04,720 --> 00:26:08,000 Speaker 1: basically just done with a great Barrington Declaration suggested we would. 463 00:26:08,240 --> 00:26:11,159 Speaker 1: We would obviously argue that based on the data, we 464 00:26:11,280 --> 00:26:14,760 Speaker 1: would be in the exact same health position and effect. 465 00:26:15,400 --> 00:26:17,960 Speaker 1: The same number of people would have gotten infected, the 466 00:26:18,119 --> 00:26:21,200 Speaker 1: same number of actual fatalities from the virus would have occurred. 467 00:26:21,560 --> 00:26:24,200 Speaker 1: But we wouldn't have spent six trillion dollars, we wouldn't 468 00:26:24,240 --> 00:26:29,239 Speaker 1: have roughly clacier jobs, right, and we wouldn't have had 469 00:26:29,320 --> 00:26:34,600 Speaker 1: that whole fallout, wouldn't have had scial businesses. We essentially 470 00:26:35,200 --> 00:26:38,240 Speaker 1: we got to hurt immunity. We just did it with 471 00:26:38,560 --> 00:26:43,760 Speaker 1: the most economic and political and freedom destruction possible along 472 00:26:43,800 --> 00:26:46,639 Speaker 1: the way, with no attendant benefit, which is something I 473 00:26:46,680 --> 00:26:48,760 Speaker 1: actually tweeted that in June of twenty twenty. Then we're 474 00:26:48,760 --> 00:26:50,439 Speaker 1: gonna get to hurt immunity. We're just gonna do all 475 00:26:50,480 --> 00:26:53,600 Speaker 1: these stupid, dumbass things that Fauci wants us to do 476 00:26:53,760 --> 00:26:57,200 Speaker 1: all along that don't actually make it and look all 477 00:26:57,280 --> 00:27:00,280 Speaker 1: over the world, who did it right? Show me the 478 00:27:00,359 --> 00:27:03,240 Speaker 1: place where they people say, oh, look at Australia. Australia 479 00:27:03,320 --> 00:27:05,960 Speaker 1: is an island that shut off all travel, and even 480 00:27:06,040 --> 00:27:09,640 Speaker 1: Australia eventually had it ripped through, and people say, why 481 00:27:09,640 --> 00:27:11,840 Speaker 1: do we have so many more fatalities. One, the fatality 482 00:27:11,960 --> 00:27:15,720 Speaker 1: data is totally wrapped up in people that died with 483 00:27:15,880 --> 00:27:19,080 Speaker 1: COVID versus from COVID, so have economic incentives that came 484 00:27:19,160 --> 00:27:24,280 Speaker 1: from labeling COVID deaths. And also the biggest risk factor 485 00:27:24,359 --> 00:27:28,280 Speaker 1: after age is obesity, and developed countries with really high 486 00:27:28,359 --> 00:27:31,719 Speaker 1: levels of obesity did really poor. We have ten times 487 00:27:31,800 --> 00:27:35,840 Speaker 1: the obesity rate of Japan and South Korea, literally ten x. 488 00:27:36,359 --> 00:27:39,080 Speaker 1: So the fact that we had far worse COVID outcomes 489 00:27:39,400 --> 00:27:42,359 Speaker 1: is actually tied to the health of the population. And 490 00:27:42,480 --> 00:27:46,600 Speaker 1: Australia doesn't have her immunity and they're actually going through 491 00:27:46,920 --> 00:27:50,520 Speaker 1: COVID hell right now because they've opened back up. And 492 00:27:50,640 --> 00:27:52,720 Speaker 1: a lot of these countries that have opened back up. 493 00:27:53,240 --> 00:27:56,920 Speaker 1: The only place that's really still in terms of a 494 00:27:57,119 --> 00:28:02,199 Speaker 1: major economy that's even attempting the COVID zero policies right 495 00:28:02,280 --> 00:28:05,040 Speaker 1: now is China, and it still remains to be seen. 496 00:28:05,200 --> 00:28:07,840 Speaker 1: China's growth rate, I'm sure you saw it over the weekend. 497 00:28:07,920 --> 00:28:12,760 Speaker 1: Buck is down to nearly negligible rates, which is crazy 498 00:28:12,880 --> 00:28:15,400 Speaker 1: considering what the Chinese government has put out in the past. 499 00:28:15,760 --> 00:28:18,000 Speaker 1: Just there's so many things, Claire we can said. I 500 00:28:18,240 --> 00:28:22,159 Speaker 1: was this is also the original formation of Clay and 501 00:28:22,280 --> 00:28:24,560 Speaker 1: Buck as a force for good freedom in the American 502 00:28:24,640 --> 00:28:27,960 Speaker 1: way was over COVID sanity, right, this is the this 503 00:28:28,080 --> 00:28:30,280 Speaker 1: is how we actually first met and started talking about this. 504 00:28:30,880 --> 00:28:32,720 Speaker 1: And so there's so many things you can refer back to. 505 00:28:33,119 --> 00:28:36,159 Speaker 1: But the fact that when there were drones in the 506 00:28:36,240 --> 00:28:40,160 Speaker 1: sky and China saying give up your heart's desire for freedom, 507 00:28:40,520 --> 00:28:44,280 Speaker 1: stay inside even if you are starving effectively because the 508 00:28:44,400 --> 00:28:47,640 Speaker 1: Chinese Communist Party says so, and Fauci wasn't coming out 509 00:28:47,720 --> 00:28:51,400 Speaker 1: saying this is appalling totalitarianism and it can never happen. 510 00:28:51,960 --> 00:28:54,320 Speaker 1: What else do people need to know? What else do 511 00:28:54,400 --> 00:28:57,440 Speaker 1: they have to see from this guy? No? And again 512 00:28:57,520 --> 00:29:01,200 Speaker 1: I think the Australian story of what is happening to 513 00:29:01,440 --> 00:29:05,240 Speaker 1: them right now with COVID has slid completely under the radar. 514 00:29:05,320 --> 00:29:08,160 Speaker 1: New Zealand as well, they don't really have herd immunity 515 00:29:08,240 --> 00:29:10,880 Speaker 1: because they were to your point, island nations that shut 516 00:29:10,960 --> 00:29:14,360 Speaker 1: down and restricted all travel. But what you're seeing is 517 00:29:14,720 --> 00:29:18,239 Speaker 1: you can't stop a virus forever. Eventually almost everyone has 518 00:29:18,280 --> 00:29:20,440 Speaker 1: to get it come back into more in a moment 519 00:29:20,560 --> 00:29:22,640 Speaker 1: eight hundred two eight two eight a two. If you 520 00:29:22,720 --> 00:29:24,080 Speaker 1: have some thoughts on this, if you think you're in 521 00:29:24,120 --> 00:29:26,480 Speaker 1: an area that's about to get locked down, or you 522 00:29:26,560 --> 00:29:29,040 Speaker 1: know have MATSS lockdown, it's probably won't happen for a while. 523 00:29:29,720 --> 00:29:32,920 Speaker 1: Mass mandates coming back, vaccine mandates coming back. Let us know. 524 00:29:34,200 --> 00:29:37,520 Speaker 1: TUNNTA Towers Foundation does amazing work. My friends Clay and 525 00:29:37,640 --> 00:29:40,200 Speaker 1: I are donors every month, and we'd invite you to 526 00:29:40,400 --> 00:29:44,000 Speaker 1: be the same. The Tunnet of Towers Foundation supports America's 527 00:29:44,080 --> 00:29:46,600 Speaker 1: heroes and their families. When a first responder or a 528 00:29:46,640 --> 00:29:49,880 Speaker 1: military service member doesn't come home and young children are 529 00:29:49,960 --> 00:29:52,760 Speaker 1: left behind, Tunnet of Towers pays off their mortgage to 530 00:29:52,800 --> 00:29:55,880 Speaker 1: lift the financial burden and bring their family stability. US 531 00:29:55,960 --> 00:29:59,000 Speaker 1: Army specialist Jason Wheeler is one of those heroes. He 532 00:29:59,120 --> 00:30:02,440 Speaker 1: re enlisted after nine eleven, but training accident injuries left 533 00:30:02,520 --> 00:30:05,240 Speaker 1: him unable to walk. After years of trying to manage. 534 00:30:05,240 --> 00:30:08,600 Speaker 1: Specialist Wheeler and his family moved into a mortgage free 535 00:30:08,720 --> 00:30:11,800 Speaker 1: smart home that was custom designed for his needs. That 536 00:30:12,000 --> 00:30:15,160 Speaker 1: home was provided by the Tunnel to Towers Foundation and 537 00:30:15,280 --> 00:30:18,520 Speaker 1: it was made possible by your donations. Help these heroes 538 00:30:18,520 --> 00:30:21,200 Speaker 1: and their families joined Tunnel to Towers on its mission 539 00:30:21,240 --> 00:30:24,440 Speaker 1: to do good in their honor. Donate eleven dollars a 540 00:30:24,520 --> 00:30:28,320 Speaker 1: month at t twot dot org. That's t the number 541 00:30:28,360 --> 00:30:34,480 Speaker 1: two t dot org Tunnel to Towers Foundation. Welcome back 542 00:30:34,520 --> 00:30:37,400 Speaker 1: in Clay Sure as buck Sexton show, we are closing 543 00:30:37,440 --> 00:30:39,400 Speaker 1: out the first hour. Top of the next hour. Let 544 00:30:39,440 --> 00:30:43,400 Speaker 1: me give you an early tease here Indiana, good guy 545 00:30:43,480 --> 00:30:46,360 Speaker 1: with a gun did something good. You probably haven't heard 546 00:30:46,360 --> 00:30:49,000 Speaker 1: about it. We'll talk about it, discuss it next at 547 00:30:49,040 --> 00:30:52,960 Speaker 1: the top of the hour. Also, unfortunately, a lot more 548 00:30:53,080 --> 00:30:58,040 Speaker 1: details coming out surrounding Uvalde and exactly what happened there. 549 00:30:58,440 --> 00:31:01,120 Speaker 1: The latest report I was reading it this morning is 550 00:31:01,200 --> 00:31:04,680 Speaker 1: that within an hour there were three hundred and seventy 551 00:31:04,760 --> 00:31:08,760 Speaker 1: six cops present at the schools shooting. None of them 552 00:31:09,760 --> 00:31:12,360 Speaker 1: well made a move to go try to protect the 553 00:31:12,480 --> 00:31:15,920 Speaker 1: kids and the teachers inside of those classrooms. Until almost 554 00:31:15,960 --> 00:31:18,160 Speaker 1: an hour and a half had passed. The full reports 555 00:31:18,200 --> 00:31:22,400 Speaker 1: are out, we'll discuss that and more. But media, some 556 00:31:22,600 --> 00:31:24,800 Speaker 1: people in media are finding out buck what you and 557 00:31:24,880 --> 00:31:29,720 Speaker 1: I hear all the time, that trust in media is 558 00:31:29,880 --> 00:31:34,200 Speaker 1: at an all time low and it just keeps getting worse. 559 00:31:34,440 --> 00:31:38,320 Speaker 1: And the fact that journalists don't realize this. The blue 560 00:31:38,360 --> 00:31:40,600 Speaker 1: check Brigade, as I like to call him, sitting around 561 00:31:40,720 --> 00:31:45,400 Speaker 1: on Twitter all day. Here's NBC's Katie Turr discussing the 562 00:31:45,480 --> 00:31:47,960 Speaker 1: fact that everybody hates him. There was just a gallop 563 00:31:48,040 --> 00:31:50,800 Speaker 1: pull out today that shows that the trust in media, 564 00:31:51,000 --> 00:31:54,880 Speaker 1: newspapers and television is hitting an all time low. People 565 00:31:54,960 --> 00:31:57,840 Speaker 1: don't trust us, they don't believe us, and it makes 566 00:31:58,440 --> 00:32:02,880 Speaker 1: me wonder if this job as I'm currently doing it 567 00:32:04,040 --> 00:32:09,480 Speaker 1: is effective, but if it's doing more harm than good, 568 00:32:09,960 --> 00:32:12,040 Speaker 1: I don't have a good answer for that. Oh I 569 00:32:12,120 --> 00:32:14,360 Speaker 1: have a good answer for it. Yes, she is doing 570 00:32:14,440 --> 00:32:17,240 Speaker 1: more harm than good. Yes. The people who are a 571 00:32:17,360 --> 00:32:21,920 Speaker 1: part of Democrat aligned media who don't tell you that 572 00:32:22,080 --> 00:32:25,480 Speaker 1: that's what they're doing are lying to you. They are 573 00:32:25,560 --> 00:32:30,960 Speaker 1: inherently engaged in dishonesty. CNN, MSNBC is a little bit 574 00:32:31,040 --> 00:32:34,920 Speaker 1: more honest about its political leanings, but NBC News for example, 575 00:32:35,080 --> 00:32:38,960 Speaker 1: NBC News is LIB News, CBS LIB News, New York 576 00:32:39,040 --> 00:32:41,840 Speaker 1: Times LIB News. If they were at least honest about it, 577 00:32:41,960 --> 00:32:45,120 Speaker 1: we could start to have a more forthright conversation. But 578 00:32:45,200 --> 00:32:47,720 Speaker 1: what the public has seen is that this had been 579 00:32:48,080 --> 00:32:50,120 Speaker 1: it had been trending in this direction for a long time. 580 00:32:50,640 --> 00:32:55,120 Speaker 1: Trump broke these institutions. They no longer could even cling 581 00:32:55,200 --> 00:32:59,480 Speaker 1: to the fiction that they were nonpartisan just down the center. 582 00:32:59,600 --> 00:33:01,760 Speaker 1: Journal is right. I mean, CNN turned into an anti 583 00:33:01,800 --> 00:33:03,720 Speaker 1: Trump network, That's all it was doing all day long. 584 00:33:04,360 --> 00:33:06,560 Speaker 1: And then they started to admit it. They started to say, 585 00:33:07,200 --> 00:33:10,040 Speaker 1: you know, at a time of so much danger to 586 00:33:10,120 --> 00:33:13,320 Speaker 1: the country, it would be immoral for us not to 587 00:33:13,400 --> 00:33:17,240 Speaker 1: be oppositional to half the country's preferred president, which is 588 00:33:17,280 --> 00:33:21,000 Speaker 1: exactly what they did. What also everybody out there saw 589 00:33:21,880 --> 00:33:27,800 Speaker 1: is social media over time reveals you for what you are. 590 00:33:28,720 --> 00:33:32,600 Speaker 1: And the idea that these people who you saw on 591 00:33:32,880 --> 00:33:39,479 Speaker 1: social media behaving irrationally and directly in allegiance with often 592 00:33:39,880 --> 00:33:43,880 Speaker 1: the Democrat Party, that they would claim that their newspapers 593 00:33:44,040 --> 00:33:50,000 Speaker 1: were calling it fair you all saw behind is like 594 00:33:50,040 --> 00:33:52,800 Speaker 1: the Wizard of Oz when suddenly you see, wait a minute, 595 00:33:52,800 --> 00:33:56,160 Speaker 1: who's actually manipulating everything? The great and powerful odds. Well, 596 00:33:56,760 --> 00:34:00,440 Speaker 1: all of this media you saw, you saw behind the 597 00:34:00,560 --> 00:34:04,000 Speaker 1: curtain and the reality of what exactly was going on. 598 00:34:04,240 --> 00:34:09,160 Speaker 1: And I think so much of media is in you know, Buck, 599 00:34:09,239 --> 00:34:11,480 Speaker 1: as you've been involved, and certainly I have too. So 600 00:34:11,600 --> 00:34:14,640 Speaker 1: many people all believe the same thing, and they all 601 00:34:14,760 --> 00:34:16,880 Speaker 1: live in the same place, and their kids all go 602 00:34:17,040 --> 00:34:20,640 Speaker 1: to the same schools, and their social circles are also 603 00:34:20,840 --> 00:34:23,840 Speaker 1: similar that they really in New York and LA have 604 00:34:24,120 --> 00:34:28,120 Speaker 1: very little understanding or comprehension of what people in the 605 00:34:28,239 --> 00:34:31,200 Speaker 1: rest of America live. Back live like the so called 606 00:34:31,280 --> 00:34:34,720 Speaker 1: flyover country, and we talk to people of all variety 607 00:34:34,760 --> 00:34:38,040 Speaker 1: of persuasions all over the country every single day, and 608 00:34:38,160 --> 00:34:41,160 Speaker 1: I think we have an understanding way better of our 609 00:34:41,200 --> 00:34:45,399 Speaker 1: audience than most of these journalists do of theirs. Yes, 610 00:34:45,520 --> 00:34:50,239 Speaker 1: the journalist class at the corporate media outlets is overwhelmingly 611 00:34:50,320 --> 00:34:56,480 Speaker 1: comprised of people who they had a pathway to certain 612 00:34:56,719 --> 00:35:00,920 Speaker 1: liberal institutions, obviously the colleges in the in the Northeast 613 00:35:01,000 --> 00:35:03,680 Speaker 1: and some of the more elite on the US news 614 00:35:04,239 --> 00:35:09,680 Speaker 1: rankings schools out there, and they effectively thought that they 615 00:35:09,760 --> 00:35:11,960 Speaker 1: should be they need to explain to the rest of 616 00:35:12,000 --> 00:35:16,160 Speaker 1: the country what's really going on because they're almost born 617 00:35:16,280 --> 00:35:19,319 Speaker 1: to this. There are the anointness. And what you've seen 618 00:35:19,520 --> 00:35:21,120 Speaker 1: is that a lot of people. I mean, you know, 619 00:35:21,320 --> 00:35:23,279 Speaker 1: you did something before you got into media. I did 620 00:35:23,360 --> 00:35:26,040 Speaker 1: something before I got into media. It's important to have 621 00:35:26,120 --> 00:35:28,719 Speaker 1: actually just showed up at a place where people were 622 00:35:28,760 --> 00:35:31,239 Speaker 1: paying you money to do a job and see how 623 00:35:31,320 --> 00:35:33,160 Speaker 1: that goes for a while before you think that you 624 00:35:33,200 --> 00:35:37,440 Speaker 1: should explain life to individuals all across the country, right, 625 00:35:37,640 --> 00:35:40,399 Speaker 1: you know, maybe spend some time in some places where 626 00:35:40,440 --> 00:35:44,480 Speaker 1: there's real deprivation, where there's real risk in day to 627 00:35:44,600 --> 00:35:46,800 Speaker 1: day life, and then you get a very different sense 628 00:35:46,880 --> 00:35:51,880 Speaker 1: of what reality is. Yeah, and it's staggering to me, 629 00:35:52,120 --> 00:35:56,440 Speaker 1: how still tone deaf? You mentioned Trump? Trump broke these organizations. 630 00:35:57,120 --> 00:36:02,200 Speaker 1: But the true incredible irony is they became everything that 631 00:36:02,360 --> 00:36:07,120 Speaker 1: they told you Trump was. Yep, they became authoritarians. They 632 00:36:07,360 --> 00:36:11,920 Speaker 1: refused to brook descent on any issues. The media became 633 00:36:12,480 --> 00:36:15,239 Speaker 1: the tyrant version of Trump that they claimed he was. 634 00:36:15,360 --> 00:36:20,040 Speaker 1: They kept saying they were fighting authoritarianism, and if you 635 00:36:20,120 --> 00:36:25,160 Speaker 1: look at any authoritarian regime, they don't have nine of 636 00:36:25,200 --> 00:36:29,440 Speaker 1: the media against the regime. The threat of authoritarianism, my friends, 637 00:36:29,880 --> 00:36:33,480 Speaker 1: comes from right now. Where they're all lapdogs for the 638 00:36:33,719 --> 00:36:36,920 Speaker 1: Biden administration. That's what we're actually fighting against here on 639 00:36:37,000 --> 00:36:43,520 Speaker 1: this show, flat Travis and Buck Sexton on the front 640 00:36:43,600 --> 00:36:44,920 Speaker 1: lines of truth.