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 --> 00:00:08,200 Speaker 1: Sexton Show podcast. Welcome back in our number three Clay 3 00:00:08,240 --> 00:00:11,840 Speaker 1: Travis buck Sexton Show. Here on the Tuesday edition of 4 00:00:11,880 --> 00:00:15,800 Speaker 1: the program. We are joined now by another man who 5 00:00:15,880 --> 00:00:19,799 Speaker 1: has dealt with the ridiculous spice. I don't know if 6 00:00:19,840 --> 00:00:24,360 Speaker 1: that's the right word of cancelation, our guy, Alex Berenson. Alex, 7 00:00:24,400 --> 00:00:26,560 Speaker 1: you saw what happened with us with YouTube. I bet 8 00:00:26,560 --> 00:00:29,360 Speaker 1: this will also get flagged by YouTube because we are 9 00:00:29,400 --> 00:00:32,960 Speaker 1: now all enemies of the state. How dare we? But 10 00:00:33,000 --> 00:00:34,960 Speaker 1: I want to start, first of all, thanks for joining 11 00:00:35,000 --> 00:00:38,200 Speaker 1: us with this headline that just came out. The Wall 12 00:00:38,240 --> 00:00:42,199 Speaker 1: Street Journal just put out a headline saying, and I'm 13 00:00:42,200 --> 00:00:47,320 Speaker 1: reading directly from this headline, COVID death's top twenty one 14 00:00:47,440 --> 00:00:52,559 Speaker 1: hundred a day, highest in nearly a year. How is 15 00:00:52,600 --> 00:00:56,760 Speaker 1: that possible? How is that possible? Well, there's a ton 16 00:00:56,800 --> 00:01:01,080 Speaker 1: of I'm a coom around and and some of those 17 00:01:01,120 --> 00:01:04,080 Speaker 1: deaths are going to be sort, you know, coincidental or 18 00:01:04,520 --> 00:01:07,640 Speaker 1: uh or. There's also some delta left over, by the way, 19 00:01:08,200 --> 00:01:10,039 Speaker 1: although not not very much, but there are you know, 20 00:01:10,080 --> 00:01:12,720 Speaker 1: there are people who've been lagging in the hospital who've died. 21 00:01:12,760 --> 00:01:15,640 Speaker 1: So there's some of that. Um, So some of those 22 00:01:15,640 --> 00:01:18,560 Speaker 1: deaths are going to be you know, just essentially incidental 23 00:01:18,600 --> 00:01:21,840 Speaker 1: vests are gonna be death with COVID. But and I 24 00:01:21,880 --> 00:01:25,240 Speaker 1: do believe that amicron is less dangerous than delta. There 25 00:01:25,240 --> 00:01:27,160 Speaker 1: you know, there's evidence of that. But when you have 26 00:01:27,440 --> 00:01:30,640 Speaker 1: a million new infections a day or more, which and 27 00:01:30,680 --> 00:01:32,679 Speaker 1: we and we likely have a lot more than that, 28 00:01:32,840 --> 00:01:35,559 Speaker 1: given that, um, you know, given that the posted number 29 00:01:35,560 --> 00:01:37,040 Speaker 1: seven or a thousand, and there's a lot of people 30 00:01:37,040 --> 00:01:39,880 Speaker 1: who aren't getting tested. Um, people are going to die, 31 00:01:40,440 --> 00:01:43,560 Speaker 1: even if this is less dangerous. And UM, you know 32 00:01:43,560 --> 00:01:47,200 Speaker 1: it's interesting, right, Uh, months and months ago I was 33 00:01:47,600 --> 00:01:50,320 Speaker 1: I was saying to you, uh, you know, we're not 34 00:01:50,440 --> 00:01:53,120 Speaker 1: We're not through with this. Um. You know all these 35 00:01:53,160 --> 00:01:55,440 Speaker 1: people who said, oh, you know there's it's going to 36 00:01:55,520 --> 00:01:58,640 Speaker 1: be over by the winter. I mean, you know, these 37 00:01:58,640 --> 00:02:01,040 Speaker 1: people who believed in the afterca see as the vaccines 38 00:02:01,040 --> 00:02:02,960 Speaker 1: have been calling for the end of this for a 39 00:02:03,080 --> 00:02:06,160 Speaker 1: year and they've been completely long and they're more wrong 40 00:02:06,280 --> 00:02:09,960 Speaker 1: now relatively, because the vaccines don't work at all against amicron. 41 00:02:10,520 --> 00:02:14,920 Speaker 1: And so so it's out there and it's and it's 42 00:02:15,000 --> 00:02:16,920 Speaker 1: killing people and not just in the United States. I 43 00:02:16,919 --> 00:02:20,320 Speaker 1: mean this lie that this is somehow that the United 44 00:02:20,320 --> 00:02:23,399 Speaker 1: States is exceptional in this way is a lie. All 45 00:02:23,440 --> 00:02:27,720 Speaker 1: over Europe people are dying from Amicron even though those 46 00:02:27,760 --> 00:02:31,320 Speaker 1: are incredibly highly vaccinated countries, because the vaccines just don't 47 00:02:31,360 --> 00:02:33,680 Speaker 1: work very well. Again, Samax. So, so Alex, we have 48 00:02:33,800 --> 00:02:35,640 Speaker 1: from your sub stack, and everyone should go check out 49 00:02:35,680 --> 00:02:38,680 Speaker 1: Alex's book Pandemia, which has been selling very well. Despite 50 00:02:39,120 --> 00:02:42,040 Speaker 1: all the pressure on people, of course to not support 51 00:02:42,040 --> 00:02:45,720 Speaker 1: Alex's work, we recommend you do support it. Go get Pandemia, Alex. 52 00:02:45,720 --> 00:02:47,960 Speaker 1: You put out on your sub stack and urgent warning. 53 00:02:48,200 --> 00:02:52,440 Speaker 1: The world's most m RNA vaccinated countries now have shockingly 54 00:02:52,520 --> 00:02:57,000 Speaker 1: high COVID infection rates, hospitalizations, and debts are rising fast 55 00:02:57,040 --> 00:03:03,000 Speaker 1: to the mRNA experiment needs to stop immediately expand. Okay, 56 00:03:03,000 --> 00:03:05,480 Speaker 1: so you know we've talked. We talked last month right 57 00:03:05,720 --> 00:03:08,839 Speaker 1: in December about Amican and it looked like Acron's very 58 00:03:08,919 --> 00:03:11,440 Speaker 1: mind right based on the data out of Staff Africa. 59 00:03:11,800 --> 00:03:16,639 Speaker 1: But South Africa isn't very heavily vaccinated, and something disturbing 60 00:03:16,840 --> 00:03:20,040 Speaker 1: that should really concern us. All is happening in these 61 00:03:20,040 --> 00:03:22,680 Speaker 1: countries that have really high vaccination rates, and there's you know, 62 00:03:22,720 --> 00:03:26,640 Speaker 1: there's a lot of them. There's Denmark, there's Australia, there's Israel, 63 00:03:26,880 --> 00:03:31,760 Speaker 1: especially especially notably where basically the entire atl population has 64 00:03:31,800 --> 00:03:35,280 Speaker 1: received two doses and most people have received three. Well, 65 00:03:35,320 --> 00:03:38,480 Speaker 1: as I say on the subject, the infection rates in 66 00:03:38,520 --> 00:03:43,119 Speaker 1: Israel are unimasionally high. Right now, more people were infected 67 00:03:43,120 --> 00:03:46,360 Speaker 1: with the COVID in the last week in Israel than 68 00:03:46,440 --> 00:03:49,320 Speaker 1: in the entire basically first year of the epidemic, in 69 00:03:49,360 --> 00:03:52,720 Speaker 1: all of twenty twenty, before there were vaccines. It looks 70 00:03:53,000 --> 00:03:57,760 Speaker 1: very very much like vaccines have negative efficacy against omicron, 71 00:03:58,000 --> 00:04:00,560 Speaker 1: and what that means is people who've been vaccinated with 72 00:04:00,560 --> 00:04:03,720 Speaker 1: two doses are more likely to be infected with How 73 00:04:03,720 --> 00:04:05,720 Speaker 1: could that be possible, Alex, can you explain, like just 74 00:04:05,840 --> 00:04:08,440 Speaker 1: even theory, we're saying, in the theoretical, how could that 75 00:04:08,480 --> 00:04:12,480 Speaker 1: be the case? Sure, it's entirely biologically plausible. The reason 76 00:04:12,480 --> 00:04:16,400 Speaker 1: it's plausible is that the spike on omicron is different 77 00:04:16,440 --> 00:04:19,640 Speaker 1: than the spike on the original COVID, the original stars 78 00:04:19,680 --> 00:04:23,160 Speaker 1: Coke two, and the vaccines were optimized to help your 79 00:04:23,160 --> 00:04:27,880 Speaker 1: body produce antibodies to the spikes of the original starce cope. Two. 80 00:04:28,200 --> 00:04:31,480 Speaker 1: So what you have after being vaccinated is a mix 81 00:04:31,560 --> 00:04:38,800 Speaker 1: of antibodies that don't exactly fit the original or they 82 00:04:38,839 --> 00:04:43,520 Speaker 1: don't exactly fit the spike, the omicron spike as well. Okay, 83 00:04:43,560 --> 00:04:46,680 Speaker 1: so that can mean two things. A less dangerous version 84 00:04:46,680 --> 00:04:50,120 Speaker 1: of this is it just sort of hinders your overall response. 85 00:04:50,560 --> 00:04:55,320 Speaker 1: And so so you're producing antibodies and some of them 86 00:04:55,360 --> 00:04:57,880 Speaker 1: work against the spike and some don't, but the mix 87 00:04:57,960 --> 00:04:59,640 Speaker 1: is not as optimal as it would be if you 88 00:04:59,680 --> 00:05:03,039 Speaker 1: were just naturally affected and had no vaccination. Okay, so 89 00:05:03,080 --> 00:05:05,440 Speaker 1: it takes your body longer, so you're more likely to 90 00:05:05,440 --> 00:05:08,560 Speaker 1: get infected and that, but ultimately you're going to clear. 91 00:05:09,000 --> 00:05:12,360 Speaker 1: The worst version of this is what's called an antibody 92 00:05:12,400 --> 00:05:15,240 Speaker 1: dependent enhancement, and that means that the antibody's your body 93 00:05:15,360 --> 00:05:18,560 Speaker 1: is producing actually hook onto the spike in a way 94 00:05:18,560 --> 00:05:22,800 Speaker 1: that helps the spike invade yourself. Okay, that is the 95 00:05:22,800 --> 00:05:26,160 Speaker 1: true terror. That would mean that you're more likely not 96 00:05:26,200 --> 00:05:28,839 Speaker 1: just to get sick, but to get sick er if 97 00:05:28,880 --> 00:05:31,479 Speaker 1: you've been vaccinated. And we know this can happen with 98 00:05:31,560 --> 00:05:34,880 Speaker 1: vaccines because it has happened with other vaccines in the past, 99 00:05:35,320 --> 00:05:39,160 Speaker 1: most notably a vaccine about dangay fever, and also many 100 00:05:39,240 --> 00:05:42,839 Speaker 1: years ago a vaccine for a virus that the kids 101 00:05:42,880 --> 00:05:47,719 Speaker 1: get a lot called RSD. So this can happen. And 102 00:05:47,839 --> 00:05:50,360 Speaker 1: what we don't know and what I make clear in 103 00:05:50,520 --> 00:05:54,400 Speaker 1: my substat post you know, which came out yesterday, which 104 00:05:54,400 --> 00:05:56,760 Speaker 1: a lot of people have been asking about, is we 105 00:05:56,839 --> 00:06:01,760 Speaker 1: don't know yet that overall incidents severe disease, it's worse 106 00:06:01,839 --> 00:06:06,520 Speaker 1: in vaccinated people for omicron. It's very complicated epidemiologically because 107 00:06:06,600 --> 00:06:09,080 Speaker 1: so many people are getting it and it's hard to 108 00:06:09,120 --> 00:06:12,400 Speaker 1: sort out, you know, who's winding up in the hospital incidentally, 109 00:06:12,680 --> 00:06:15,039 Speaker 1: who's actually getting sick from the disease, and then it 110 00:06:15,120 --> 00:06:18,040 Speaker 1: takes a while for people to die, So it's complicated. 111 00:06:18,279 --> 00:06:20,680 Speaker 1: But I would say at this point I will go 112 00:06:20,760 --> 00:06:24,760 Speaker 1: on the record saying it. It is abundantly clear that 113 00:06:24,960 --> 00:06:30,480 Speaker 1: being vaccinated increases your list of being infected with omicron. 114 00:06:30,560 --> 00:06:35,200 Speaker 1: And I think everybody knows this, because Aly knows a 115 00:06:35,279 --> 00:06:38,320 Speaker 1: ton of people who've been vaccinated and in some cases boosted, 116 00:06:38,640 --> 00:06:41,120 Speaker 1: and have gotten this in the last month. We all 117 00:06:41,160 --> 00:06:46,960 Speaker 1: know this, all right. So first of all, this is crazy, 118 00:06:47,040 --> 00:06:49,159 Speaker 1: and obviously we've been talking about this for months and 119 00:06:49,240 --> 00:06:52,160 Speaker 1: you've been ahead of where the data is going to 120 00:06:52,279 --> 00:06:55,120 Speaker 1: lead us, and you've also said, Alex that trying to 121 00:06:55,160 --> 00:06:58,760 Speaker 1: predict COVID has made fools of us all at some 122 00:06:58,880 --> 00:07:02,000 Speaker 1: point or another. So I'm asking you for a difficult 123 00:07:02,400 --> 00:07:05,560 Speaker 1: scenario here. But as we come up on the end 124 00:07:05,600 --> 00:07:09,279 Speaker 1: of January, what we saw last year was an overall 125 00:07:09,400 --> 00:07:13,600 Speaker 1: decline substantially of COVID as we moved into the summer, 126 00:07:13,960 --> 00:07:17,720 Speaker 1: before Delta came up and before Omicron came up. What 127 00:07:17,800 --> 00:07:21,200 Speaker 1: do you foresee the next couple of months looking like 128 00:07:21,680 --> 00:07:24,360 Speaker 1: based on the data from Europe and Israel and what 129 00:07:24,440 --> 00:07:27,600 Speaker 1: you are seeing around the world in the United States 130 00:07:27,680 --> 00:07:30,880 Speaker 1: as it pertains to COVID. Are we going to see 131 00:07:31,120 --> 00:07:35,360 Speaker 1: a similar decline as we move into spring and summer, 132 00:07:35,440 --> 00:07:38,920 Speaker 1: as naturally occurs with these viruses. What does the next 133 00:07:38,920 --> 00:07:42,160 Speaker 1: couple of months look like in your mind? I really 134 00:07:42,200 --> 00:07:45,440 Speaker 1: do not know. The reason I don't know anymore is 135 00:07:45,480 --> 00:07:49,360 Speaker 1: that it's also not clear whether being vaccinated is going 136 00:07:49,360 --> 00:07:54,040 Speaker 1: to hinder the development of natural immunity post infection. Okay, 137 00:07:54,320 --> 00:07:57,440 Speaker 1: so if you're infected and you haven't been vaccinated, you 138 00:07:57,520 --> 00:08:01,360 Speaker 1: develop a broad range of antibodies, not just to despike 139 00:08:01,480 --> 00:08:04,880 Speaker 1: but to other parts of the coronavirus. It is not 140 00:08:05,120 --> 00:08:09,320 Speaker 1: clear that people who are vaccinated and then infected and 141 00:08:09,360 --> 00:08:14,200 Speaker 1: then recover get the same broad protection and so and 142 00:08:14,320 --> 00:08:17,840 Speaker 1: there's and there's something else. There's another subvariant of omicron 143 00:08:17,960 --> 00:08:20,440 Speaker 1: out there. This has not really been well understood in 144 00:08:20,480 --> 00:08:23,640 Speaker 1: the US, but it's clear in Europe. And and I 145 00:08:23,680 --> 00:08:27,200 Speaker 1: am hearing, Okay, I don't know that this is true, 146 00:08:27,440 --> 00:08:29,360 Speaker 1: and I need to you know, we need to get 147 00:08:29,440 --> 00:08:31,920 Speaker 1: data on this that people who have been infected with 148 00:08:32,000 --> 00:08:37,080 Speaker 1: an omicron and recovered are in some cases getting reinfected 149 00:08:37,400 --> 00:08:42,040 Speaker 1: very quickly, possibly with the other subvariant of omicron. If 150 00:08:42,080 --> 00:08:44,400 Speaker 1: that's true, then this thing is just going to go 151 00:08:44,480 --> 00:08:47,640 Speaker 1: around and around and around. And I don't know what 152 00:08:47,800 --> 00:08:51,559 Speaker 1: stops it, because seasonally didn't stop it in Australia. Australia, 153 00:08:51,559 --> 00:08:53,840 Speaker 1: it's summer there right now. They shouldn't have any cases. 154 00:08:54,280 --> 00:08:57,320 Speaker 1: They have. They had a tremendous number of cases last week. 155 00:08:57,760 --> 00:09:02,880 Speaker 1: Then then it came down in Denmark and Israel and France. 156 00:09:03,000 --> 00:09:06,680 Speaker 1: The caseloads are off the trucks right now, and again 157 00:09:06,760 --> 00:09:09,960 Speaker 1: it doesn't seem like it's as dangerous overall, but there's 158 00:09:10,000 --> 00:09:12,439 Speaker 1: still seen a lot of hospitalizations in death just because 159 00:09:12,440 --> 00:09:15,559 Speaker 1: the number of cases is so high. So I don't 160 00:09:15,640 --> 00:09:18,120 Speaker 1: really want to predict what the next few months are 161 00:09:18,120 --> 00:09:20,400 Speaker 1: going to look like. What I said, and this is 162 00:09:20,400 --> 00:09:23,360 Speaker 1: the most important part of this is this experiment has 163 00:09:23,400 --> 00:09:26,280 Speaker 1: to stop. It has to stop now. These vaccines have failed. 164 00:09:26,320 --> 00:09:30,320 Speaker 1: They have failed. Okay, look at the case numbers in 165 00:09:30,360 --> 00:09:34,120 Speaker 1: the highly vaccinated countries. They have failed, and we need 166 00:09:34,160 --> 00:09:37,320 Speaker 1: to stop vaccinating and boosting, and we need to figure 167 00:09:37,320 --> 00:09:41,079 Speaker 1: out what we're going to do next. Because Alex, you're 168 00:09:41,400 --> 00:09:43,840 Speaker 1: sorry to cut you off there, but when Joe Biden 169 00:09:43,960 --> 00:09:47,920 Speaker 1: keeps saying we have a pandemic of the unvaccinated, is 170 00:09:47,960 --> 00:09:52,760 Speaker 1: he totally clueless? It's clearly a lie at this point. Yeah, 171 00:09:52,840 --> 00:09:55,480 Speaker 1: what is going on with that messaging at this point 172 00:09:55,480 --> 00:09:57,760 Speaker 1: in your mind? I don't, I don't know. I don't 173 00:09:57,760 --> 00:09:59,760 Speaker 1: actually care about the politics right now. I don't. This 174 00:09:59,880 --> 00:10:04,640 Speaker 1: is more important than the politics because because what's clear 175 00:10:05,040 --> 00:10:08,280 Speaker 1: is in a very short term, if you know, after 176 00:10:08,280 --> 00:10:11,840 Speaker 1: you get through with the two doses, you're temporarily protected, 177 00:10:12,200 --> 00:10:15,559 Speaker 1: and then after you boost, you're temporarily protected again. But 178 00:10:15,640 --> 00:10:19,440 Speaker 1: it's like a boomerang. Okay, the protection goes away and 179 00:10:19,520 --> 00:10:22,720 Speaker 1: now it's worse than just going away. It's clearly wrong 180 00:10:22,800 --> 00:10:26,080 Speaker 1: footing people in terms of their immune systems, in terms 181 00:10:26,120 --> 00:10:31,280 Speaker 1: of the new variant. And fortunately, overall omicron seems less dangerous. 182 00:10:31,360 --> 00:10:34,200 Speaker 1: But if another variant rolls around in the spring that's 183 00:10:34,240 --> 00:10:38,200 Speaker 1: more dangerous and people are wrong footed, it will be catastrophic. 184 00:10:38,760 --> 00:10:41,440 Speaker 1: And I don't know, and this is a question for 185 00:10:41,480 --> 00:10:44,720 Speaker 1: barologists and the knowledgists how long it will take to 186 00:10:45,000 --> 00:10:49,200 Speaker 1: undo this, or even if it's even possible to undo it. Okay, So, 187 00:10:49,440 --> 00:10:51,600 Speaker 1: but what I know is that we need to stop 188 00:10:51,640 --> 00:10:55,319 Speaker 1: making the same mistake. We need to stop giving people 189 00:10:55,520 --> 00:10:58,880 Speaker 1: mRNA for a spike that doesn't even exist anymore. We 190 00:10:59,040 --> 00:11:01,680 Speaker 1: have to stop. Alex, are you when you run this 191 00:11:01,760 --> 00:11:05,360 Speaker 1: buys I'm sure you do. Some of the epidemiologists and 192 00:11:06,679 --> 00:11:11,160 Speaker 1: particularly worthwhile mds, people that work in this area and 193 00:11:11,200 --> 00:11:14,360 Speaker 1: have real expertise, are they? I mean you, I've never 194 00:11:14,400 --> 00:11:18,920 Speaker 1: heard you sound this level of concerns before about what 195 00:11:18,960 --> 00:11:21,400 Speaker 1: you are finding out based on the data. Are some 196 00:11:21,440 --> 00:11:25,240 Speaker 1: others sharing this with you? Is this growing? People are 197 00:11:25,280 --> 00:11:28,600 Speaker 1: just shaking their heads. They just don't understand what so 198 00:11:28,720 --> 00:11:31,319 Speaker 1: the Israeli said, We're not going to boost anymore a 199 00:11:31,400 --> 00:11:33,480 Speaker 1: week ago, and then this morning they said they're going 200 00:11:33,520 --> 00:11:35,199 Speaker 1: to or at least that they're going to offer to 201 00:11:35,200 --> 00:11:37,960 Speaker 1: build I'm talking about a second booster. Okay, everyone in 202 00:11:38,000 --> 00:11:40,560 Speaker 1: Israel has already gotten a booster, and again they have 203 00:11:40,960 --> 00:11:44,680 Speaker 1: the worst infection rates that any country has ever seen 204 00:11:44,800 --> 00:11:47,400 Speaker 1: this week. And now they think, I mean, I don't 205 00:11:47,480 --> 00:11:50,280 Speaker 1: know what the again, I don't know what the politics are. 206 00:11:50,280 --> 00:11:51,960 Speaker 1: If the politics are, We're just going to keep this 207 00:11:52,040 --> 00:11:55,000 Speaker 1: down the road another three months and hope that Fizer 208 00:11:55,400 --> 00:11:59,760 Speaker 1: gives us an omicron specific vaccine by the spring. But 209 00:12:00,360 --> 00:12:02,720 Speaker 1: by the spring there will probably be another valiant. So 210 00:12:03,000 --> 00:12:06,120 Speaker 1: when I talk to people who understand this and are 211 00:12:06,160 --> 00:12:09,120 Speaker 1: looking at the data, they're just shaking their heads. And 212 00:12:09,200 --> 00:12:12,199 Speaker 1: they know that the CDC is lying when it says 213 00:12:12,240 --> 00:12:15,000 Speaker 1: that these vaccines offer really good protection against thee vere 214 00:12:15,080 --> 00:12:17,920 Speaker 1: disease and death. They know it's an artifact. And I'll 215 00:12:18,000 --> 00:12:19,760 Speaker 1: keep saying this because I have to keep explaining it 216 00:12:19,760 --> 00:12:24,080 Speaker 1: to people. You can't compare vaccinating and unvaccinated populations in 217 00:12:24,160 --> 00:12:26,920 Speaker 1: countries where a lot of people are vaccinated, because the 218 00:12:27,080 --> 00:12:29,960 Speaker 1: only elderly people are a lot of elderly people who 219 00:12:30,000 --> 00:12:32,839 Speaker 1: are not vaccinated are not being vaccinated, not because they're 220 00:12:32,840 --> 00:12:35,880 Speaker 1: Trump voters, certainly not in a country like Denmark or Israel. 221 00:12:35,920 --> 00:12:38,880 Speaker 1: They're just too old and sick to be vaccinated. So 222 00:12:38,920 --> 00:12:41,240 Speaker 1: then they get COVID they're at high risk of death. 223 00:12:41,760 --> 00:12:44,040 Speaker 1: That's why you see these gaps. You have to look 224 00:12:44,040 --> 00:12:47,240 Speaker 1: at the overall population totals, and when you do again, 225 00:12:47,280 --> 00:12:49,840 Speaker 1: you see off the church levels of inspections and in 226 00:12:49,840 --> 00:12:53,440 Speaker 1: a country like Denmark announcing a lot of hospitalizations in 227 00:12:53,480 --> 00:12:56,880 Speaker 1: the vaccinated population. So when again, when I talk to 228 00:12:56,880 --> 00:12:59,040 Speaker 1: people will understand this, and believe me, there are people 229 00:12:59,040 --> 00:13:02,319 Speaker 1: out there who understand for helping me understand it. None 230 00:13:02,360 --> 00:13:05,760 Speaker 1: of us can figure out why why push for another 231 00:13:05,800 --> 00:13:09,520 Speaker 1: booster at this point, it doesn't make any sense. Or kids, 232 00:13:09,559 --> 00:13:11,920 Speaker 1: which is even scarier, right, Alex, Like I mean because 233 00:13:11,960 --> 00:13:13,559 Speaker 1: now there's a lot of people saying, hey, a five 234 00:13:13,640 --> 00:13:17,280 Speaker 1: year old needs to get vaccinated. Right maybe and maybe 235 00:13:17,320 --> 00:13:19,839 Speaker 1: you know, maybe Clay that you know the politics are, 236 00:13:19,840 --> 00:13:21,960 Speaker 1: we're just going to try to blame the unvaccine. It'd 237 00:13:22,000 --> 00:13:24,640 Speaker 1: be like that's the only democratic strategy left. Just like 238 00:13:24,679 --> 00:13:26,840 Speaker 1: I'm going to say that you know, the voting, you know, 239 00:13:26,840 --> 00:13:28,480 Speaker 1: if you if you vote not to have you know, 240 00:13:28,520 --> 00:13:32,160 Speaker 1: twenty four to seven election boosts for six months before 241 00:13:32,200 --> 00:13:34,120 Speaker 1: an election. You're bo connor. Maybe I'm just going to 242 00:13:34,160 --> 00:13:36,320 Speaker 1: play the bass and blame the unvaccinated. I don't know 243 00:13:36,360 --> 00:13:39,840 Speaker 1: what the politics are, but I know that medically and scientifically, 244 00:13:41,160 --> 00:13:44,240 Speaker 1: anybody looking at the data, these vaccines should be pulled 245 00:13:44,280 --> 00:13:48,160 Speaker 1: from the market worldwide on the basis of efficacy. Forget 246 00:13:48,200 --> 00:13:51,640 Speaker 1: side effects. Just look at the efficacy. They're not working 247 00:13:51,760 --> 00:13:54,240 Speaker 1: right now, Alex And just how do we get the 248 00:13:54,280 --> 00:13:58,520 Speaker 1: final data necessary to make this point that you're talking 249 00:13:58,559 --> 00:14:01,439 Speaker 1: about here that they don't work as well even against it. 250 00:14:01,640 --> 00:14:05,160 Speaker 1: It's in the last holdout here has been against hospitalization 251 00:14:05,280 --> 00:14:08,160 Speaker 1: and death. Why don't we have that data right now? 252 00:14:08,160 --> 00:14:10,400 Speaker 1: Why don't we know whether it works against hospitalization and 253 00:14:10,480 --> 00:14:13,679 Speaker 1: death in the US? Because the CDC isn't releasing the 254 00:14:13,840 --> 00:14:15,800 Speaker 1: row numbers. You can get raw numbers from, you know, 255 00:14:15,840 --> 00:14:18,000 Speaker 1: the UK, you can get row numbers from is. They 256 00:14:18,080 --> 00:14:21,040 Speaker 1: won't release the numbers. They'll only release these adjusted rate 257 00:14:21,120 --> 00:14:25,120 Speaker 1: ratios which they claim make the vaccines, you know, show 258 00:14:25,160 --> 00:14:27,080 Speaker 1: that the vaccines work. And again I want to be clear, 259 00:14:27,160 --> 00:14:31,000 Speaker 1: if you look back last year, there was evidence that 260 00:14:31,080 --> 00:14:34,160 Speaker 1: they reduced infection for you know, for a matter of months, 261 00:14:34,160 --> 00:14:36,200 Speaker 1: and they reduced severe disease in them. Because if you 262 00:14:36,240 --> 00:14:39,320 Speaker 1: stop people from getting infected, a definitely stop them from 263 00:14:39,360 --> 00:14:42,680 Speaker 1: getting severe disease and death. That's but this idea that 264 00:14:42,720 --> 00:14:45,560 Speaker 1: there's this huge protection against severe disease and death but 265 00:14:45,680 --> 00:14:49,200 Speaker 1: no protection against infection. Look, you can spin a case 266 00:14:49,240 --> 00:14:52,280 Speaker 1: for why that might be, but it doesn't really make 267 00:14:52,280 --> 00:14:55,600 Speaker 1: that much sense biologically, Okay, especially because the vaccine's main 268 00:14:55,680 --> 00:14:58,160 Speaker 1: impact is on anybody's not on sales, which is a 269 00:14:58,200 --> 00:15:00,760 Speaker 1: whole different Can you come back. I want to ask 270 00:15:00,760 --> 00:15:02,360 Speaker 1: you a couple of more questions, Alex, Do you have 271 00:15:02,400 --> 00:15:04,840 Speaker 1: a couple more minutes with us? All right, we'll get 272 00:15:04,880 --> 00:15:06,600 Speaker 1: to it with Alex Barance will be with us. Author 273 00:15:06,600 --> 00:15:09,960 Speaker 1: Pandemia Black Rifle Coffee. 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Get hooked up right now by 283 00:15:36,440 --> 00:15:40,600 Speaker 1: purchasing online. If they're easy to remember. Website name Black 284 00:15:40,680 --> 00:15:45,040 Speaker 1: Riflecoffee dot Com. Use our names Clay and Buck at 285 00:15:45,160 --> 00:15:48,760 Speaker 1: checkout to get twenty percent off your purchase and your 286 00:15:48,840 --> 00:15:53,280 Speaker 1: first coffee club order. That's Black Riflecoffee dot Com. Do 287 00:15:53,440 --> 00:16:01,320 Speaker 1: it today. Welcome back in Clay, Travis Buckston Show, Alex Barrenson. 288 00:16:01,360 --> 00:16:02,880 Speaker 1: We got a quick segment here. I want to hit 289 00:16:02,920 --> 00:16:06,280 Speaker 1: you with two quick questions. Give you a chance to respond, Alex, 290 00:16:06,320 --> 00:16:08,320 Speaker 1: based on your last segment, I don't know if you've 291 00:16:08,320 --> 00:16:11,800 Speaker 1: watched Don't Look Up, the Netflix show about an asteroid 292 00:16:11,840 --> 00:16:14,800 Speaker 1: coming to Earth. I feel like, even though that's a 293 00:16:14,880 --> 00:16:19,040 Speaker 1: climate change allegory, that you are like the scientists here 294 00:16:19,120 --> 00:16:22,000 Speaker 1: telling people, Hey, these vaccines don't work. Do you feel 295 00:16:22,040 --> 00:16:25,680 Speaker 1: like that second part of this COVID zero still the 296 00:16:25,760 --> 00:16:29,560 Speaker 1: policy in China. Wouldn't that theoretically make China maybe the 297 00:16:29,600 --> 00:16:35,040 Speaker 1: most vulnerable country in the entire world to COVID? So 298 00:16:35,200 --> 00:16:37,360 Speaker 1: it's funny, right, because don't look up. I mean, you know, 299 00:16:37,560 --> 00:16:41,040 Speaker 1: those are all nice Hollywood lefties. They hate me, Yes, yes, 300 00:16:41,200 --> 00:16:43,000 Speaker 1: I get me banned from Twitter. They panned me from 301 00:16:43,000 --> 00:16:46,560 Speaker 1: my subject if they could. It is ironic that they're 302 00:16:46,600 --> 00:16:50,120 Speaker 1: the ones completely ignoring this. I mean, you know, vaccine, 303 00:16:50,280 --> 00:16:52,560 Speaker 1: there's something about the words vaccine, as as I wrote 304 00:16:52,560 --> 00:16:57,640 Speaker 1: in Paintemia, that has this magic you know, has this 305 00:16:57,760 --> 00:17:01,520 Speaker 1: magic effect on people where they don't look at the data. 306 00:17:01,760 --> 00:17:03,720 Speaker 1: If this had been called, you know, a drug, and 307 00:17:03,760 --> 00:17:05,879 Speaker 1: it obviously works more like a drug. It has a 308 00:17:05,920 --> 00:17:09,720 Speaker 1: limited you know, duration of effect um and then you 309 00:17:09,760 --> 00:17:13,680 Speaker 1: have to get treated again. It couldn't possibly pass FDA muster. 310 00:17:13,840 --> 00:17:17,240 Speaker 1: So I don't understand. Again, I try not to think 311 00:17:17,280 --> 00:17:19,240 Speaker 1: that much, and I certainly try not to, you know, 312 00:17:19,320 --> 00:17:22,359 Speaker 1: head down these conspiracy raft holes about about you know, 313 00:17:22,800 --> 00:17:26,000 Speaker 1: Bill Gates or whatever. I don't understand what's happening. I 314 00:17:26,480 --> 00:17:29,680 Speaker 1: think that I think that, you know, there's some it 315 00:17:29,680 --> 00:17:32,359 Speaker 1: takes a little while in some cases to process the data. 316 00:17:32,440 --> 00:17:34,560 Speaker 1: I think there's there's you know, there's hope that these 317 00:17:34,640 --> 00:17:37,240 Speaker 1: vaccines have worked better than they than they have. But 318 00:17:37,400 --> 00:17:40,240 Speaker 1: once you see the it's really you know, once you 319 00:17:40,280 --> 00:17:43,040 Speaker 1: see that the most vaccinated boosted country in the world. 320 00:17:43,440 --> 00:17:46,400 Speaker 1: It had one percent of its population infected with omicron 321 00:17:46,520 --> 00:17:48,840 Speaker 1: in a in a single day. Doesn't that you know? 322 00:17:49,160 --> 00:17:50,439 Speaker 1: What do I? What do I have to do? What 323 00:17:50,480 --> 00:17:52,040 Speaker 1: does anybody have to do? The data is on the 324 00:17:52,040 --> 00:17:56,760 Speaker 1: substack really snice, so I don't know what's going on. 325 00:17:57,119 --> 00:17:59,720 Speaker 1: Um As for China, no one knows what to make 326 00:17:59,720 --> 00:18:01,879 Speaker 1: of hacking China. All we know is they have no 327 00:18:01,960 --> 00:18:05,840 Speaker 1: clod and they have no mRNA vaccine like Barns and 328 00:18:06,080 --> 00:18:08,760 Speaker 1: phenomenal stuff, I mean phenomenal. We'll break some of this 329 00:18:08,800 --> 00:18:11,480 Speaker 1: down in the meantime. Mike Glendell wants you to be 330 00:18:11,520 --> 00:18:15,000 Speaker 1: able to save a ton my slippers fifty percent off 331 00:18:15,320 --> 00:18:18,359 Speaker 1: with the promo code Clay and Buck. 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Enter the promo code. 340 00:18:46,040 --> 00:18:48,840 Speaker 1: Clay and Buck are call eight hundred seven nine two 341 00:18:48,880 --> 00:18:57,320 Speaker 1: thirty two sixty nine to get hooked up today. Welcome 342 00:18:57,359 --> 00:19:01,479 Speaker 1: back in Clay Travis buck Sexton show. We're gonna unpack 343 00:19:01,560 --> 00:19:03,639 Speaker 1: some more of that. Alex barrens an interview which, by 344 00:19:03,680 --> 00:19:05,719 Speaker 1: the way, I ain't gonna be able to go up 345 00:19:05,720 --> 00:19:07,920 Speaker 1: on YouTube if I were setting odds. I think I'm 346 00:19:07,920 --> 00:19:10,480 Speaker 1: gonna go cry in the corner right now. That was terrifying. 347 00:19:10,760 --> 00:19:12,760 Speaker 1: Alex has been you and I have been having him 348 00:19:12,760 --> 00:19:16,040 Speaker 1: on for a couple of years, and he is always 349 00:19:16,119 --> 00:19:19,919 Speaker 1: hyper rational. Look at the logic, look at the data, 350 00:19:20,000 --> 00:19:24,479 Speaker 1: and I feel like he is just screaming. The data 351 00:19:24,640 --> 00:19:29,840 Speaker 1: on the vaccines doesn't add up, and it's as if 352 00:19:29,920 --> 00:19:32,600 Speaker 1: no one will pay attention. And it does make me 353 00:19:32,680 --> 00:19:34,320 Speaker 1: wonder Buck and we'll talk about this a little bit 354 00:19:34,320 --> 00:19:37,199 Speaker 1: to close the show. How much different would the media 355 00:19:37,359 --> 00:19:41,680 Speaker 1: coverage of the COVID vaccine, the COVID shot be if 356 00:19:41,720 --> 00:19:43,960 Speaker 1: Donald Trump was suppressed. They would act like it was 357 00:19:43,960 --> 00:19:46,800 Speaker 1: a scene from Mad Max, you know, Beyond Thunderdome. But 358 00:19:46,840 --> 00:19:49,880 Speaker 1: we'll get into that. Gordon Chang is with us now. 359 00:19:49,920 --> 00:19:52,240 Speaker 1: He is the author of the Great Us China tech work. 360 00:19:52,320 --> 00:19:54,639 Speaker 1: Go check out his Twitter following there Gordon g. Chang 361 00:19:55,160 --> 00:19:57,240 Speaker 1: is where you follow him and he is an expert 362 00:19:57,320 --> 00:19:59,359 Speaker 1: on all these matters. Gordon, thanks for being with us. 363 00:20:00,000 --> 00:20:02,360 Speaker 1: Thank you so much, Bucking Clay so so Gordon. First off, 364 00:20:02,359 --> 00:20:04,880 Speaker 1: we got a couple of things here. Obviously the Olympics 365 00:20:04,880 --> 00:20:06,879 Speaker 1: coming up in China. We want to talk about the 366 00:20:06,920 --> 00:20:09,480 Speaker 1: Russia Chinese relationship and how that may play into the 367 00:20:09,560 --> 00:20:12,640 Speaker 1: Ukraine situation. The first Clay ask Alex Bernson just before 368 00:20:12,640 --> 00:20:16,320 Speaker 1: you came on about a COVID zero policy in China. 369 00:20:16,440 --> 00:20:20,359 Speaker 1: What we know that they're hiding staff, lying about staff 370 00:20:20,359 --> 00:20:22,880 Speaker 1: and it's a totalitarian state, right we all everyone listening 371 00:20:22,880 --> 00:20:25,200 Speaker 1: this gets that part of it. What do we know 372 00:20:25,440 --> 00:20:29,000 Speaker 1: about how China is handling COVID and what the reality 373 00:20:29,119 --> 00:20:32,320 Speaker 1: is of what they're facing. Yeah, the zero COVID policy 374 00:20:32,600 --> 00:20:36,959 Speaker 1: is really driving things, and that is basically no transmissions 375 00:20:37,000 --> 00:20:39,720 Speaker 1: are acceptable, and that means that they put people in 376 00:20:39,800 --> 00:20:44,400 Speaker 1: extraordinarily extraordinary lockdowns. So, for instance, the people in Cion, 377 00:20:44,760 --> 00:20:48,000 Speaker 1: we're not allowed to leave their apartments from December twenty 378 00:20:48,000 --> 00:20:50,199 Speaker 1: seven to just a couple days ago, which means they 379 00:20:50,200 --> 00:20:53,720 Speaker 1: couldn't go out and buy food. We have seen lockdowns 380 00:20:53,840 --> 00:20:56,640 Speaker 1: at the ports in China, which is important because that's 381 00:20:56,680 --> 00:21:00,880 Speaker 1: affecting the supply chain in the US. And there are 382 00:21:00,960 --> 00:21:05,600 Speaker 1: these lockdowns in Beijing, which is extraordinarily sensitive because the 383 00:21:05,680 --> 00:21:09,639 Speaker 1: Olympics are starting on February fourth, if the disease doesn't 384 00:21:09,640 --> 00:21:12,600 Speaker 1: get out of hand, and clearly it is getting out 385 00:21:12,600 --> 00:21:15,919 Speaker 1: of hand because they can't control it around China and 386 00:21:16,160 --> 00:21:19,760 Speaker 1: they've got no vaccines which work, which they are even 387 00:21:19,800 --> 00:21:24,480 Speaker 1: less effective than ours, and so isolation is their only defense, 388 00:21:24,640 --> 00:21:27,199 Speaker 1: and they are shutting down their country in order to 389 00:21:27,240 --> 00:21:30,600 Speaker 1: stop the disease. And that seems like, Gordon, thanks for 390 00:21:30,600 --> 00:21:33,399 Speaker 1: taking the time to join us, that seems like a 391 00:21:33,600 --> 00:21:37,399 Speaker 1: really difficult policy to be embracing. Remember Australia tried to 392 00:21:37,440 --> 00:21:41,040 Speaker 1: do COVID zero and they just abandoned it as soon 393 00:21:41,080 --> 00:21:43,600 Speaker 1: as they got the vaccine because they said COVID zero 394 00:21:43,640 --> 00:21:47,560 Speaker 1: isn't sustainable long term. Omicron seems like it spreads so 395 00:21:47,720 --> 00:21:51,359 Speaker 1: rapidly that it would be almost impossible even an authoritarian, 396 00:21:51,440 --> 00:21:55,520 Speaker 1: top communist totalitarian state like China to even manage that. 397 00:21:56,000 --> 00:21:57,720 Speaker 1: But so that's my thought. But I wanted to ask 398 00:21:57,760 --> 00:22:01,720 Speaker 1: you this, Gordon, does it seem incredibly strange to you, 399 00:22:02,359 --> 00:22:06,840 Speaker 1: based on your expertise associated with China, that in within 400 00:22:07,040 --> 00:22:10,800 Speaker 1: you know, less than two years after China brings code 401 00:22:12,080 --> 00:22:16,080 Speaker 1: eyes about it and allows it to spread every week, 402 00:22:16,680 --> 00:22:21,280 Speaker 1: that everybody would show up hat in Handina for the 403 00:22:21,320 --> 00:22:26,240 Speaker 1: Beijing Winter Olympics. I can't get my mind wrapped around 404 00:22:26,560 --> 00:22:28,840 Speaker 1: how the All Star Game can get pulled out of 405 00:22:28,920 --> 00:22:32,520 Speaker 1: Georgia over a voting rights bill that isn't even restrictive, 406 00:22:32,960 --> 00:22:36,800 Speaker 1: and yet every democracy in the world is fine with 407 00:22:36,920 --> 00:22:40,280 Speaker 1: showing up in China and bowing down to Chairman Z. 408 00:22:40,840 --> 00:22:43,239 Speaker 1: Given what's going on in China and what China has 409 00:22:43,240 --> 00:22:46,679 Speaker 1: inflicted upon the world, does that seem incongruous to you 410 00:22:46,960 --> 00:22:52,920 Speaker 1: as well? Yes, it's absolutely. In concourse, it's also a 411 00:22:53,080 --> 00:22:56,960 Speaker 1: sign of feebleness of the West. Remember what Beijing did here, 412 00:22:57,440 --> 00:23:00,600 Speaker 1: as you were referring to. They lied about content aageousness. 413 00:23:00,680 --> 00:23:02,800 Speaker 1: They knew it was highly transmissible, but they told the 414 00:23:02,800 --> 00:23:05,440 Speaker 1: world that was not. And while they were locking down 415 00:23:05,520 --> 00:23:08,560 Speaker 1: Luhan and other parts of China, they were pressuring other 416 00:23:08,600 --> 00:23:12,919 Speaker 1: countries to accept passengers from China without travel restrictions and quarantines. 417 00:23:13,400 --> 00:23:16,080 Speaker 1: Now you put just those two things together, they're more 418 00:23:16,119 --> 00:23:18,399 Speaker 1: but you put just those two things together, and it 419 00:23:18,440 --> 00:23:22,359 Speaker 1: means that China deliberately spread this disease. That means five 420 00:23:22,440 --> 00:23:25,399 Speaker 1: point five million people outside of China who have died 421 00:23:25,480 --> 00:23:29,679 Speaker 1: from this disease just completely unnecessary. That means each of 422 00:23:29,680 --> 00:23:33,840 Speaker 1: those deaths were a murder. That means, by the way, Clay, 423 00:23:33,880 --> 00:23:36,440 Speaker 1: that if you look at Article two of the Genocide 424 00:23:36,440 --> 00:23:39,439 Speaker 1: Convention of nineteen forty eight, which China is a party, 425 00:23:39,880 --> 00:23:44,240 Speaker 1: that this is a genocide. Five point five million people killed. 426 00:23:45,600 --> 00:23:48,080 Speaker 1: We're speaking Gordon Chang, author of the Great US China 427 00:23:48,119 --> 00:23:51,080 Speaker 1: Tech War and the Coming Collapse of China. Is Twitter 428 00:23:51,119 --> 00:23:54,399 Speaker 1: handles Gordon g. Chang following there for analysis on this Gordon. 429 00:23:54,920 --> 00:23:58,120 Speaker 1: Right now the world stands on edge at some level, 430 00:23:58,600 --> 00:24:02,480 Speaker 1: wondering if and in there will be a Russian incursion 431 00:24:02,520 --> 00:24:05,159 Speaker 1: into Ukraine. A lot of people are pointing out that 432 00:24:05,280 --> 00:24:08,840 Speaker 1: the US response to this could result in a shift 433 00:24:09,320 --> 00:24:13,240 Speaker 1: in Russia perhaps toward even warmer closer relations with China. 434 00:24:13,600 --> 00:24:15,040 Speaker 1: What should people know? I mean, just put this in 435 00:24:15,040 --> 00:24:18,640 Speaker 1: a context for US Putin and She. Where do they 436 00:24:18,920 --> 00:24:21,840 Speaker 1: have crossover, where are they working together? And how concerned 437 00:24:21,880 --> 00:24:25,640 Speaker 1: about this should we all be? China and Russia effectively 438 00:24:26,080 --> 00:24:29,400 Speaker 1: an alliance as they say, they actually say that they're 439 00:24:29,440 --> 00:24:33,360 Speaker 1: closer than allies. What the problem here is that they've 440 00:24:33,400 --> 00:24:36,199 Speaker 1: been coordinating their foreign policies for a little more than 441 00:24:36,240 --> 00:24:39,800 Speaker 1: a decade. They've been exercising their militaries together since two 442 00:24:39,840 --> 00:24:43,840 Speaker 1: thousand and five, and in August of last year, for 443 00:24:43,880 --> 00:24:46,760 Speaker 1: the first time, Russian troops were using Chinese weapons, which 444 00:24:46,960 --> 00:24:51,520 Speaker 1: demonstrates interoperability. So we have to assume that these are 445 00:24:51,560 --> 00:24:54,720 Speaker 1: not two separate countries. That we don't have one crisis 446 00:24:54,760 --> 00:24:58,280 Speaker 1: in Taiwan and another crisis in Ukraine. We got one 447 00:24:58,400 --> 00:25:03,119 Speaker 1: crisis and being stage managed in Moscow and Beijing. Now 448 00:25:03,600 --> 00:25:07,080 Speaker 1: people say buck that long term China and Russia camp 449 00:25:07,080 --> 00:25:10,280 Speaker 1: forem and enduring partnership, and I agree, But the point 450 00:25:10,359 --> 00:25:13,560 Speaker 1: is that's irrelevant because in the here and now, these 451 00:25:13,560 --> 00:25:17,040 Speaker 1: two powers are working together to destabilize the world, to 452 00:25:17,160 --> 00:25:21,919 Speaker 1: redraw the map of the world with Force Gordon. We 453 00:25:22,040 --> 00:25:25,639 Speaker 1: know obviously what Russia is potentially going to do in Ukraine, 454 00:25:26,000 --> 00:25:29,240 Speaker 1: and obviously that feels like a lesson that China could 455 00:25:29,320 --> 00:25:32,119 Speaker 1: take based on what is going to happen with Taiwan. 456 00:25:32,920 --> 00:25:37,840 Speaker 1: Do you believe that Chinese assault or occupation of Taiwan 457 00:25:38,240 --> 00:25:40,840 Speaker 1: is going to happen in the next couple of years 458 00:25:40,920 --> 00:25:43,880 Speaker 1: or even during the Biden administration, or would you still 459 00:25:43,920 --> 00:25:48,440 Speaker 1: say that's highly unlikely. I would say that it's unlikely. 460 00:25:48,480 --> 00:25:51,639 Speaker 1: I wouldn't say highly unlikely. And there are a couple 461 00:25:51,640 --> 00:25:54,240 Speaker 1: of reasons for that. One of them is that for 462 00:25:54,480 --> 00:25:58,040 Speaker 1: China to invade Taiwan siejum thing, the Chinese ruler would 463 00:25:58,080 --> 00:26:00,919 Speaker 1: have to give some general or admiral most complete control 464 00:26:00,920 --> 00:26:03,479 Speaker 1: over the Chinese military, and that would make that flag 465 00:26:03,520 --> 00:26:06,679 Speaker 1: officer the most powerful figure in China, and Sijumping is 466 00:26:06,800 --> 00:26:10,040 Speaker 1: not about to do that. Also, the Chinese regime is 467 00:26:10,080 --> 00:26:15,040 Speaker 1: extraordinarily casualty adverse, so they're not going to accept hundreds 468 00:26:15,080 --> 00:26:19,040 Speaker 1: of thousands of people killed in less of course, and 469 00:26:19,080 --> 00:26:21,880 Speaker 1: this is the point that we often forget that there 470 00:26:22,000 --> 00:26:25,159 Speaker 1: is an accident that you have two planes come together, 471 00:26:25,240 --> 00:26:29,200 Speaker 1: two ships come together, could be Chinese and Taiwanese, could 472 00:26:29,200 --> 00:26:32,320 Speaker 1: be American in China. But the point is that the 473 00:26:32,800 --> 00:26:36,880 Speaker 1: possibility of an accident is high. The other background factor 474 00:26:37,080 --> 00:26:40,920 Speaker 1: is that Sijumping has made the takeover Taiwan the critical 475 00:26:40,920 --> 00:26:44,080 Speaker 1: test of legitimacy of the Communist Party, and we know 476 00:26:44,200 --> 00:26:48,120 Speaker 1: that China has moved against its victims when the Americans 477 00:26:48,119 --> 00:26:51,560 Speaker 1: and others have been distracted elsewhere. Nineteen sixty two Cuban 478 00:26:51,600 --> 00:26:56,560 Speaker 1: Missile Crisis, China invades India. Korean War, China invades Tibet 479 00:26:56,680 --> 00:27:00,080 Speaker 1: and East Turkestan which is now sin Jong. So this 480 00:27:00,200 --> 00:27:03,160 Speaker 1: is out of the Chinese playbook that while we're distracted 481 00:27:03,240 --> 00:27:07,040 Speaker 1: someplace else, they go move on their enemies. So this 482 00:27:07,160 --> 00:27:11,879 Speaker 1: is exceedingly volatile right now. Gordon Chang, author of the 483 00:27:11,920 --> 00:27:14,240 Speaker 1: Great US China Tech War, Get your copy. Also follow 484 00:27:14,320 --> 00:27:16,960 Speaker 1: him at Gordon g. Chang on Twitter. Go to Gordon 485 00:27:17,000 --> 00:27:19,159 Speaker 1: g Chang dot com for his latest analysis. Scored it. 486 00:27:19,400 --> 00:27:21,800 Speaker 1: Always appreciate it, sir, thanks for being with us. Thank 487 00:27:21,840 --> 00:27:24,119 Speaker 1: you so much. Clay and Buck Relief Factor is a 488 00:27:24,119 --> 00:27:27,760 Speaker 1: one percent drug free product which addresses joint pain, knee hit, back, 489 00:27:27,920 --> 00:27:30,800 Speaker 1: neck and shoulder pain. Lots of people in this audience 490 00:27:30,840 --> 00:27:32,919 Speaker 1: can relate to one or more of those sensations. It 491 00:27:33,000 --> 00:27:36,119 Speaker 1: was created by doctors and based on scientific research. 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Welcome back in final segment 510 00:28:38,040 --> 00:28:40,960 Speaker 1: here at the Clay Travis and Buck Sexton Show. If 511 00:28:41,080 --> 00:28:43,719 Speaker 1: I gotta say, and we always tell you, please check 512 00:28:43,760 --> 00:28:47,160 Speaker 1: out the podcast subscribe to podcast. But if you're listening 513 00:28:47,160 --> 00:28:49,240 Speaker 1: on one of our wonderful four hundred and forty or 514 00:28:49,280 --> 00:28:52,680 Speaker 1: fifty or so affiliates, you know a great way to 515 00:28:52,720 --> 00:28:55,440 Speaker 1: share what you heard with other people is through the podcast. 516 00:28:55,520 --> 00:28:58,720 Speaker 1: Because that Barrington interview our three segment one. I mean 517 00:28:58,720 --> 00:29:03,240 Speaker 1: he is he is either the vanguard of vaccine truth 518 00:29:03,400 --> 00:29:09,680 Speaker 1: in the face of just insane, ruthless opposition, or for 519 00:29:09,720 --> 00:29:12,160 Speaker 1: the first time, maybe he's a little a little ahead 520 00:29:12,200 --> 00:29:14,880 Speaker 1: of the skis. I gotta tell you has he been 521 00:29:15,000 --> 00:29:16,600 Speaker 1: has he been wrong yet? Clay, we've had him on 522 00:29:16,640 --> 00:29:19,720 Speaker 1: the show. He has not. And what he's saying there, 523 00:29:19,920 --> 00:29:22,760 Speaker 1: I don't even want to try to tell you what 524 00:29:22,840 --> 00:29:24,520 Speaker 1: he said so much as I want you to go 525 00:29:24,560 --> 00:29:27,880 Speaker 1: back and listen again and share it with other people 526 00:29:27,920 --> 00:29:31,240 Speaker 1: so they know what the concerns are here. I mean, Clay, 527 00:29:31,640 --> 00:29:35,800 Speaker 1: we are seeing in real time the abject failure of 528 00:29:35,840 --> 00:29:40,880 Speaker 1: the mitigation fauciite program all across the board. But there's 529 00:29:40,880 --> 00:29:43,240 Speaker 1: just no explanation now that they can give for some 530 00:29:43,280 --> 00:29:45,160 Speaker 1: of the things that are happening. I mean, how he's 531 00:29:45,160 --> 00:29:48,760 Speaker 1: just saying Israel has the most cases in one day 532 00:29:48,880 --> 00:29:53,320 Speaker 1: it has ever had. The whole country's vaccinated, the whole data, 533 00:29:53,360 --> 00:29:57,280 Speaker 1: the whole country is vaccinated and boostered effectively. And he 534 00:29:57,360 --> 00:30:03,040 Speaker 1: said basically one percent of the Israeli population right now 535 00:30:03,160 --> 00:30:08,720 Speaker 1: has COVID. So if the vaccines and the boosters keep 536 00:30:08,760 --> 00:30:13,120 Speaker 1: you from getting severely ill from COVID, I hope that 537 00:30:13,280 --> 00:30:17,400 Speaker 1: is true. But how would you explain the fact that 538 00:30:17,480 --> 00:30:20,120 Speaker 1: one we in the United States right now today, as 539 00:30:20,120 --> 00:30:23,440 Speaker 1: I read from the Wall Street Journal, are setting the 540 00:30:23,520 --> 00:30:27,520 Speaker 1: highest number of deaths on average seven day rolling since 541 00:30:27,600 --> 00:30:32,240 Speaker 1: February of twenty one, so a yearly high. And remember, 542 00:30:32,280 --> 00:30:35,240 Speaker 1: in February of twenty one, almost no one yet buck 543 00:30:35,280 --> 00:30:38,200 Speaker 1: had received the COVID vaccine, right it started to roll 544 00:30:38,240 --> 00:30:40,760 Speaker 1: out at the very end of December, if I remember correctly, 545 00:30:40,880 --> 00:30:43,280 Speaker 1: was like the first person to get the COVID vaccine, 546 00:30:43,640 --> 00:30:47,600 Speaker 1: and by February it was still relatively unavailable to the 547 00:30:47,720 --> 00:30:50,720 Speaker 1: vast majority of people out there. So we now have 548 00:30:50,960 --> 00:30:55,640 Speaker 1: equalled effectively the number passed it, going all the way 549 00:30:55,680 --> 00:30:57,719 Speaker 1: back to February of twenty one, when there was no 550 00:30:57,840 --> 00:31:01,680 Speaker 1: vaccine whatsoever widely distributed in the United States and certainly 551 00:31:01,680 --> 00:31:05,240 Speaker 1: not need boosters. And the data out of Israel and 552 00:31:05,280 --> 00:31:07,800 Speaker 1: the data out of France and all these European countries, 553 00:31:08,320 --> 00:31:10,960 Speaker 1: people are not asking. This is really what the media 554 00:31:11,040 --> 00:31:14,080 Speaker 1: should do, is ask hard questions like, hey, what's going on? 555 00:31:14,200 --> 00:31:16,960 Speaker 1: Here are the facts? Why no one's asking the problem 556 00:31:17,040 --> 00:31:19,720 Speaker 1: is the only people who are in a position publicly 557 00:31:20,160 --> 00:31:22,640 Speaker 1: in a mass media format to get truth for the 558 00:31:22,640 --> 00:31:25,600 Speaker 1: most part, other than this show, very very big radio show, 559 00:31:25,960 --> 00:31:28,120 Speaker 1: you know Tucker and other folks on Fox and other 560 00:31:28,160 --> 00:31:31,040 Speaker 1: people out there with big podcast, Joe Rogan, etc. Other 561 00:31:31,080 --> 00:31:34,440 Speaker 1: people that are making this case publicly, is that there's 562 00:31:34,480 --> 00:31:37,760 Speaker 1: a complicity, Clay. I mean, CNN has been essentially a 563 00:31:37,800 --> 00:31:40,640 Speaker 1: Fauci booster section for the last two years right there. 564 00:31:40,720 --> 00:31:42,800 Speaker 1: They're not about to start asking real questions and be 565 00:31:42,880 --> 00:31:44,840 Speaker 1: serious but any of this, and I think we also 566 00:31:44,880 --> 00:31:47,640 Speaker 1: have to look at the very real possibility here that 567 00:31:47,680 --> 00:31:50,840 Speaker 1: you have a garbage in, garbage out phenomenon right now 568 00:31:50,840 --> 00:31:53,480 Speaker 1: when it comes to the data and the policy that follows. 569 00:31:53,520 --> 00:31:56,320 Speaker 1: That's one part of it. As in the numbers about 570 00:31:56,360 --> 00:32:02,520 Speaker 1: hospitalization death, unvaccinated, vaccinated boosted, the aide stratification, it's there's 571 00:32:02,520 --> 00:32:06,720 Speaker 1: so many loopholes and so many ways that data is 572 00:32:06,720 --> 00:32:10,520 Speaker 1: being collected incorrectly, whether somewhat on purpose or just because 573 00:32:10,560 --> 00:32:14,080 Speaker 1: of bureaucratic inefficiency. So that's a big challenge. And then 574 00:32:14,080 --> 00:32:15,920 Speaker 1: the other big challenge I think we have is Clay, 575 00:32:15,960 --> 00:32:18,440 Speaker 1: if the data is so slow. You know, if I'm 576 00:32:18,480 --> 00:32:21,960 Speaker 1: an investor and I'm being told what the company's earnings 577 00:32:21,960 --> 00:32:24,720 Speaker 1: were three quarters ago and being told that I want 578 00:32:24,720 --> 00:32:28,239 Speaker 1: to invest today, I'm never making sound decisions. Notice the 579 00:32:28,360 --> 00:32:31,360 Speaker 1: lag we have with this data all the time. It's 580 00:32:31,360 --> 00:32:33,479 Speaker 1: almost like they don't want people to find out the 581 00:32:33,480 --> 00:32:35,960 Speaker 1: truth about what the numbers say when it comes to 582 00:32:36,000 --> 00:32:39,000 Speaker 1: vaccination in this country until they've gotten to another round 583 00:32:39,000 --> 00:32:41,400 Speaker 1: of shots so they can say, oh, well, don't worry 584 00:32:41,400 --> 00:32:44,800 Speaker 1: this time, it'll work well. And also buck that they're 585 00:32:44,880 --> 00:32:50,160 Speaker 1: gambling on seasonality. I do think from a political calculation status, 586 00:32:50,520 --> 00:32:54,360 Speaker 1: the Biden administration has to be gambling that what we 587 00:32:54,440 --> 00:32:56,880 Speaker 1: saw last year, which is as we get into the 588 00:32:56,920 --> 00:33:01,240 Speaker 1: spring in summer, cases naturally declined because it's not cold 589 00:33:01,240 --> 00:33:05,320 Speaker 1: and flu season. But what Alex Berenson said is Australia 590 00:33:05,480 --> 00:33:10,160 Speaker 1: is seeing insane rates of omicron infection. And remember it's 591 00:33:10,160 --> 00:33:13,280 Speaker 1: the summer there. So in theory, if we were going 592 00:33:13,320 --> 00:33:18,640 Speaker 1: to see a significant impact based on seasonality, Australia is 593 00:33:18,680 --> 00:33:22,200 Speaker 1: completely powering through. Now maybe that's partly because they never 594 00:33:22,240 --> 00:33:24,800 Speaker 1: had natural immunity because they tried to apply a COVID 595 00:33:24,880 --> 00:33:28,040 Speaker 1: zero policy for so long. So maybe there's reason to 596 00:33:28,080 --> 00:33:30,720 Speaker 1: believe we'll have more success in the spring and summer 597 00:33:30,720 --> 00:33:33,720 Speaker 1: than Australia has. But that's ominous as well. You know, 598 00:33:33,760 --> 00:33:35,640 Speaker 1: what would be a number that if we could even 599 00:33:35,680 --> 00:33:38,480 Speaker 1: just get a real estimate right now, I think would 600 00:33:38,480 --> 00:33:41,560 Speaker 1: be mind blowing. I think it would be jaw dropping 601 00:33:41,560 --> 00:33:44,080 Speaker 1: for a lot of people. What is if you add 602 00:33:44,160 --> 00:33:46,960 Speaker 1: up all the different strains, what is the percentage of 603 00:33:47,000 --> 00:33:49,560 Speaker 1: the American people at this point that have at least 604 00:33:49,560 --> 00:33:53,360 Speaker 1: gotten COVID once and think about to know where we were? 605 00:33:53,400 --> 00:33:56,040 Speaker 1: You know, they have no idea. I mean you would 606 00:33:56,040 --> 00:33:57,680 Speaker 1: have to think just just to put this in some 607 00:33:57,720 --> 00:34:00,720 Speaker 1: context for everybody. Based on the surology testing done in 608 00:34:00,760 --> 00:34:03,760 Speaker 1: New York City in June of twenty twenty alone, by 609 00:34:03,880 --> 00:34:08,080 Speaker 1: June of twenty twenty, they pretty clearly had they had 610 00:34:08,080 --> 00:34:11,080 Speaker 1: pretty good data to show twenty percent of the city 611 00:34:11,239 --> 00:34:13,279 Speaker 1: had been infected. That was within a few months. It 612 00:34:13,320 --> 00:34:15,880 Speaker 1: will now be we're coming on now two years of this, folks, 613 00:34:16,360 --> 00:34:18,200 Speaker 1: What do we really think the percentage of the country is. 614 00:34:18,239 --> 00:34:20,480 Speaker 1: I know, they say, oh, there's forty million COVID case 615 00:34:20,520 --> 00:34:23,360 Speaker 1: at fifty million that's what they test and catch. What 616 00:34:23,480 --> 00:34:26,240 Speaker 1: percentage of the American people have actually gotten COVID despite 617 00:34:26,239 --> 00:34:28,239 Speaker 1: all the masking and all the other crap we've been 618 00:34:28,239 --> 00:34:30,879 Speaker 1: forced to do. I would guess, and it is a guess. 619 00:34:30,880 --> 00:34:32,920 Speaker 1: I'm not even say it's an estimated guess. We're going 620 00:34:32,960 --> 00:34:35,080 Speaker 1: to find out that seventy percent plus the American people 621 00:34:35,080 --> 00:34:37,799 Speaker 1: have gotten COVID at something be the actual estimate. I 622 00:34:37,800 --> 00:34:39,600 Speaker 1: would go over at least once. I mean, you and 623 00:34:39,640 --> 00:34:42,800 Speaker 1: I on this show have each had it twice, yeah, 624 00:34:42,840 --> 00:34:46,000 Speaker 1: and very relatively young and healthy in the grand scheme 625 00:34:46,040 --> 00:34:48,200 Speaker 1: of things, healthier before the pandemic. By the way, you 626 00:34:48,280 --> 00:34:49,520 Speaker 1: just to be able to see my abs a little bit, 627 00:34:49,560 --> 00:34:52,719 Speaker 1: not anymore, Clay, it's gotten rough. But if you and 628 00:34:52,760 --> 00:34:54,640 Speaker 1: I have had it twice, and by the way, maybe 629 00:34:54,640 --> 00:34:56,359 Speaker 1: we had it three times, who knows. I mean, it's 630 00:34:56,360 --> 00:34:59,279 Speaker 1: possible that one of us got the delta variant and 631 00:34:59,360 --> 00:35:02,040 Speaker 1: just didn't know because we had already had the alpha version. 632 00:35:02,440 --> 00:35:05,600 Speaker 1: And I would bet a lot of money. For instance, 633 00:35:05,600 --> 00:35:08,960 Speaker 1: in my household, my wife and I have both tested positive. 634 00:35:09,320 --> 00:35:11,920 Speaker 1: I would bet that all three of my kids have 635 00:35:12,120 --> 00:35:15,400 Speaker 1: COVID antibodies too, even though they've never had an illness 636 00:35:15,760 --> 00:35:18,440 Speaker 1: that made us think, oh, they have COVID, never had 637 00:35:18,440 --> 00:35:21,000 Speaker 1: a fever, never had like we've been fortunate the last 638 00:35:21,040 --> 00:35:24,080 Speaker 1: couple of years, never had any instance where we were like, oh, 639 00:35:24,200 --> 00:35:26,200 Speaker 1: this feels like they've got COVID. We've got to hold 640 00:35:26,200 --> 00:35:28,680 Speaker 1: them out of school for it. I would bet they've 641 00:35:28,680 --> 00:35:30,319 Speaker 1: all three had. I want to you know, Clay and 642 00:35:30,360 --> 00:35:32,239 Speaker 1: I are always going back and forth off air too, 643 00:35:32,239 --> 00:35:33,839 Speaker 1: with thoughts and ideas for the show, which we hope, 644 00:35:33,840 --> 00:35:36,359 Speaker 1: you know, brings them more rich experience. We're on air 645 00:35:36,360 --> 00:35:38,239 Speaker 1: because we're already thinking about it. We think about this 646 00:35:38,239 --> 00:35:40,080 Speaker 1: stuff and talk about it all the time. Clay, here's 647 00:35:40,080 --> 00:35:42,200 Speaker 1: the thought. I have you ever notice how the only 648 00:35:42,280 --> 00:35:46,680 Speaker 1: mitigation measures that they will ever drop or say don't 649 00:35:46,719 --> 00:35:50,800 Speaker 1: do are the ones that are not initially the Fauci approved. 650 00:35:50,840 --> 00:35:53,240 Speaker 1: You know, they will. We saw this thing with Florida. 651 00:35:53,280 --> 00:35:55,759 Speaker 1: Now with monoclonal antibodies, looks like they're they're pulling the 652 00:35:55,760 --> 00:35:59,120 Speaker 1: FDA authorization. We'll talk about this tomorrow. Monoclonal antibodies don't 653 00:35:59,120 --> 00:36:01,879 Speaker 1: do that, they say, hydroxy chloroquine, don't do that. I've 654 00:36:01,920 --> 00:36:04,120 Speaker 1: remected and all these things. Meanwhile, all the things that 655 00:36:04,120 --> 00:36:06,879 Speaker 1: they've tried and failed, they never are willing to drop. 656 00:36:07,239 --> 00:36:09,000 Speaker 1: They're never willing to make it go away no matter 657 00:36:09,000 --> 00:36:11,040 Speaker 1: what it is. Well, and that's one of the big 658 00:36:11,080 --> 00:36:14,120 Speaker 1: failures of American COVID policy, I think in general, as 659 00:36:14,239 --> 00:36:17,640 Speaker 1: the vaccine was such a focus that we didn't focus 660 00:36:17,800 --> 00:36:21,640 Speaker 1: very much on therapeutics. Even now for people who get sick, 661 00:36:22,239 --> 00:36:24,080 Speaker 1: a lot of them don't even know how to go 662 00:36:24,160 --> 00:36:26,719 Speaker 1: get legitimate treatment for it because what they like to 663 00:36:26,760 --> 00:36:28,759 Speaker 1: do the blue checks say is oh, you should have 664 00:36:28,800 --> 00:36:31,320 Speaker 1: gotten vaccinated. It's too late. Now. How often do you 665 00:36:31,360 --> 00:36:33,480 Speaker 1: see people tweeting about that, Well, how about how about 666 00:36:33,480 --> 00:36:35,920 Speaker 1: some therapeutics. How about we focus on treating the ill. 667 00:36:36,120 --> 00:36:38,600 Speaker 1: I just had a friend tell me his vaccinated uncle 668 00:36:38,680 --> 00:36:40,799 Speaker 1: in the hospital. Looked like wasn't gonna make it. Got 669 00:36:40,800 --> 00:36:44,279 Speaker 1: monoclonal antibodies, wasn't easy to do. He's fine now. He's 670 00:36:44,320 --> 00:36:46,239 Speaker 1: the kind of things folks. Look, we got a lot 671 00:36:46,239 --> 00:36:47,560 Speaker 1: to talk to you about tomorrow. We didn't even get 672 00:36:47,560 --> 00:36:49,960 Speaker 1: into SAKI admitting BLM and crime and all that is 673 00:36:50,239 --> 00:36:52,040 Speaker 1: a big challenge for the White House. We'll talk about it. 674 00:36:52,080 --> 00:36:58,240 Speaker 1: Stay around, you're listening to Clay Travis said Buck Sexton. 675 00:36:58,440 --> 00:37:07,320 Speaker 1: Fund the EIB It's work. Mm hmmm.