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 --> 00:00:07,080 Speaker 1: Sexton Show podcast. Our three of Clay and Buckets going 3 00:00:07,240 --> 00:00:13,080 Speaker 1: right now, and we have hit it, the debt ceiling. 4 00:00:13,440 --> 00:00:20,600 Speaker 1: We are there, my friends. Thirty one point four trillion dollars. 5 00:00:20,640 --> 00:00:25,160 Speaker 1: That is the statutory limit. The United States government has 6 00:00:25,280 --> 00:00:30,080 Speaker 1: hit the statutory limit, like the Titanic running into an iceberg. 7 00:00:30,160 --> 00:00:32,800 Speaker 1: Just kidding, it's all gonna be fine, everybody. They're gonna 8 00:00:32,840 --> 00:00:36,240 Speaker 1: try to freak you out about this. Look, the debt 9 00:00:36,320 --> 00:00:38,440 Speaker 1: isn't all gonna be fine in so far as this 10 00:00:38,560 --> 00:00:41,239 Speaker 1: is a big problem. But the oh my gosh, the 11 00:00:41,360 --> 00:00:44,760 Speaker 1: government's not gonna pay its bills. It's it's gonna pay 12 00:00:44,800 --> 00:00:50,040 Speaker 1: its bills. I mean, here's how CNN describes it, forcing 13 00:00:50,080 --> 00:00:53,880 Speaker 1: the Treasury Department to take extraordinary measures to keep the 14 00:00:53,920 --> 00:00:57,200 Speaker 1: government paying its bills, escalating pressure on Capitol Hill to 15 00:00:57,240 --> 00:01:01,680 Speaker 1: avoid a catastrophic default. The battle lines for the high 16 00:01:01,800 --> 00:01:08,840 Speaker 1: stakes fight have already been set. Hardline Republicans sounds Scary Clay, 17 00:01:08,920 --> 00:01:11,280 Speaker 1: who have enormous sway in the House because of the 18 00:01:11,280 --> 00:01:15,119 Speaker 1: party slim majority, have demanded that lifting the borrowing cap 19 00:01:15,640 --> 00:01:20,640 Speaker 1: be tied to spending reductions. Doesn't that seem I mean, 20 00:01:20,720 --> 00:01:25,080 Speaker 1: let's just again, let's put on our reasonable guy in 21 00:01:25,280 --> 00:01:28,720 Speaker 1: galhats for a moment. We have run up a thirty 22 00:01:28,760 --> 00:01:32,800 Speaker 1: one trillion dollar debt. If somebody wants to claim that 23 00:01:32,920 --> 00:01:36,399 Speaker 1: it doesn't matter, you know, que Paul Krugman with some 24 00:01:36,520 --> 00:01:38,360 Speaker 1: column or he's like, it doesn't matter, we can just 25 00:01:38,400 --> 00:01:40,880 Speaker 1: we're borrowing money from ourselves. It doesn't you know. Paul 26 00:01:40,920 --> 00:01:45,679 Speaker 1: Krugman perhaps the most consistently wrong Nobel Laureate I can 27 00:01:45,720 --> 00:01:48,160 Speaker 1: think of in history. I mean, the guy's wrong about 28 00:01:48,160 --> 00:01:51,200 Speaker 1: everything all the time. If Paul Krugman says, BA, you 29 00:01:51,200 --> 00:01:55,320 Speaker 1: should sell, you know that that's the way it works here. 30 00:01:55,320 --> 00:01:58,040 Speaker 1: We are thirty one trillion. If it's no big deal, 31 00:01:58,120 --> 00:02:02,920 Speaker 1: why not fifty trillion, or why not just give everybody 32 00:02:02,960 --> 00:02:06,200 Speaker 1: ten million dollars? If there is no connection whatsoever to 33 00:02:06,280 --> 00:02:11,160 Speaker 1: monetary policy and economic health. They're really just hoping that 34 00:02:11,200 --> 00:02:15,519 Speaker 1: people can't fathom or will ignore what this really means 35 00:02:15,560 --> 00:02:19,720 Speaker 1: and what the financial implications of this may be for them. 36 00:02:20,480 --> 00:02:24,920 Speaker 1: Just the service on the debt that we have begins 37 00:02:24,960 --> 00:02:27,359 Speaker 1: to crowd out spending. And the problem is that when 38 00:02:27,400 --> 00:02:30,480 Speaker 1: Democrats see that, their reaction will be oh, but we 39 00:02:30,560 --> 00:02:34,160 Speaker 1: have more essential things. We have to spend money on clay. 40 00:02:34,520 --> 00:02:37,360 Speaker 1: You know the history of fiat currency. You want to 41 00:02:37,360 --> 00:02:42,320 Speaker 1: get scared. You know, you can read about the history 42 00:02:42,320 --> 00:02:45,320 Speaker 1: of fiat currency and one ends up happening to governments 43 00:02:45,360 --> 00:02:49,480 Speaker 1: that abuse it because eventually it collapses. Now I'm not 44 00:02:49,520 --> 00:02:51,919 Speaker 1: saying our currency is going to collapse. We're very fortunate 45 00:02:51,960 --> 00:02:54,840 Speaker 1: this is America. Joe Biden's in charge. It feels like 46 00:02:54,919 --> 00:02:58,359 Speaker 1: our economy is almost idiot proof. It's not quite, but almost. 47 00:02:59,360 --> 00:03:03,120 Speaker 1: And yet thirty one trillion dollars should be alarm bells, 48 00:03:03,160 --> 00:03:06,400 Speaker 1: shouldn't it. It's not only that it's thirty one trillion 49 00:03:06,720 --> 00:03:09,600 Speaker 1: to me, because buck, if we had added that thirty 50 00:03:09,600 --> 00:03:13,720 Speaker 1: one trillion dollars along the way of our two hundred 51 00:03:13,720 --> 00:03:18,000 Speaker 1: plus years as a nation, such that every year had 52 00:03:18,000 --> 00:03:22,040 Speaker 1: basically been the same cost, we're not. We are accelerating 53 00:03:22,240 --> 00:03:26,160 Speaker 1: our spending in an aggressive way. And this is important 54 00:03:26,200 --> 00:03:30,680 Speaker 1: because the Tea Party initially got its voice when we 55 00:03:30,720 --> 00:03:34,560 Speaker 1: approached ten trillion dollar national debt. That was a big number. 56 00:03:34,960 --> 00:03:38,320 Speaker 1: That was a flashpoint. Many people said, oh, my goodness, 57 00:03:38,920 --> 00:03:42,200 Speaker 1: this is a monstrous debt that we have built up 58 00:03:42,240 --> 00:03:46,640 Speaker 1: ten trillion. As you just said, We're now over thirty trillion. 59 00:03:47,360 --> 00:03:51,440 Speaker 1: So in the space of twelve years, we've added twenty 60 00:03:51,480 --> 00:03:55,840 Speaker 1: trillion dollars to our national debt and we are running up. 61 00:03:56,240 --> 00:04:00,920 Speaker 1: It appears around a trillion dollars a year in additional 62 00:04:01,080 --> 00:04:05,680 Speaker 1: national debt every year into the foreseeable future. When does 63 00:04:05,720 --> 00:04:09,040 Speaker 1: it end? How does it end? One way to contextualize 64 00:04:09,040 --> 00:04:13,080 Speaker 1: this is by just talking about the percentage of our 65 00:04:13,360 --> 00:04:18,280 Speaker 1: overall expenses that are now eaten up by interest, because 66 00:04:18,279 --> 00:04:23,240 Speaker 1: the interest on thirty trillion dollars is approaching a substantial 67 00:04:23,320 --> 00:04:26,320 Speaker 1: scale of our national debt. And I was reading the 68 00:04:26,320 --> 00:04:28,240 Speaker 1: other day, I think in the Wall Street Journal buck 69 00:04:28,320 --> 00:04:32,039 Speaker 1: only about sixteen percent of our budget now is discretionary. 70 00:04:32,839 --> 00:04:35,360 Speaker 1: Think about that for a minute. We have so many 71 00:04:35,440 --> 00:04:38,880 Speaker 1: obligations when it comes to Social Security, when it comes 72 00:04:38,880 --> 00:04:41,400 Speaker 1: to Medicare, when it comes to Medica, it is discretionary. 73 00:04:42,279 --> 00:04:44,960 Speaker 1: So when we're talking about multi trillion dollar budgets and 74 00:04:45,000 --> 00:04:47,640 Speaker 1: all those things, understand that most of that money has 75 00:04:47,640 --> 00:04:52,560 Speaker 1: already spent. And so if you were many states have 76 00:04:52,600 --> 00:04:55,039 Speaker 1: a balanced budget amendment, right, So if you live where 77 00:04:55,040 --> 00:04:57,120 Speaker 1: I do in State of Tennessee, we can't spend more 78 00:04:57,120 --> 00:05:01,640 Speaker 1: money as a state than we take in the federal 79 00:05:01,680 --> 00:05:04,239 Speaker 1: government has not had that restriction. I use the example, 80 00:05:04,279 --> 00:05:06,600 Speaker 1: we spent more money responding to COVID than we did 81 00:05:06,760 --> 00:05:11,080 Speaker 1: World War Two, even in real dollars, which is crazy 82 00:05:11,160 --> 00:05:16,400 Speaker 1: to think about. So how do we fix this? This 83 00:05:16,480 --> 00:05:20,320 Speaker 1: is an untenable position for us to be in, and 84 00:05:20,760 --> 00:05:25,080 Speaker 1: ultimately it is you can't just cover your eyes and 85 00:05:25,200 --> 00:05:27,520 Speaker 1: claim like I thought when I was a kid, buck, 86 00:05:27,560 --> 00:05:29,120 Speaker 1: I bet you kind of thought about this too. I 87 00:05:29,160 --> 00:05:31,040 Speaker 1: used to not worry about the national debt in the 88 00:05:31,120 --> 00:05:33,800 Speaker 1: nineteen eighties because I'd just be like, well, the government 89 00:05:33,839 --> 00:05:36,480 Speaker 1: can just print more money. They can always pay off 90 00:05:36,520 --> 00:05:40,320 Speaker 1: their national debt. That's kind of the magical thinking that 91 00:05:40,480 --> 00:05:45,200 Speaker 1: Democrats are governing with right now. And unfortunately, there aren't 92 00:05:45,320 --> 00:05:48,000 Speaker 1: enough Republican adults in the room who we're going to 93 00:05:48,080 --> 00:05:50,599 Speaker 1: sit down and say this is an untenable position. At 94 00:05:50,640 --> 00:05:53,400 Speaker 1: some point, we have to restrain the spending. But in 95 00:05:53,520 --> 00:05:56,479 Speaker 1: terms of this story, we know how it ends. I 96 00:05:56,520 --> 00:05:58,760 Speaker 1: don't get very fired up with stories that I know 97 00:05:58,800 --> 00:06:01,039 Speaker 1: how they end. Already, we're not going to default, the 98 00:06:01,080 --> 00:06:03,800 Speaker 1: country's not going to go bankrupt, Like eventually, there's going 99 00:06:03,800 --> 00:06:05,960 Speaker 1: to be a resolution on what the spending looks like 100 00:06:07,279 --> 00:06:12,680 Speaker 1: the national debt in the year two thousand was five 101 00:06:12,760 --> 00:06:15,920 Speaker 1: point seven trillion dollars. I mean, that's amazing to think about. 102 00:06:15,960 --> 00:06:19,200 Speaker 1: Say that again two thousand five to the year two thousand, 103 00:06:19,360 --> 00:06:23,280 Speaker 1: so just over twenty years ago it was five point 104 00:06:23,400 --> 00:06:26,960 Speaker 1: six and change trillion dollars. So we've added twenty five 105 00:06:27,080 --> 00:06:30,520 Speaker 1: trillion dollars plus in national debt in the twenty first 106 00:06:30,560 --> 00:06:34,720 Speaker 1: century alone. When the Tea Party recognize what was going 107 00:06:34,760 --> 00:06:37,880 Speaker 1: on in two thousand and eight, two thousand and nine, 108 00:06:38,720 --> 00:06:41,760 Speaker 1: when the national debt was eleven trillion dollars in two 109 00:06:41,800 --> 00:06:48,279 Speaker 1: thousand and nine, it then jumped up. By twenty sixteen 110 00:06:48,800 --> 00:06:52,200 Speaker 1: it was almost twenty trillion dollars, and now here we 111 00:06:52,279 --> 00:06:56,680 Speaker 1: are it is thirty one point four trillion dollars. It 112 00:06:56,800 --> 00:07:02,320 Speaker 1: has taken off like the climate change hockey stick graph 113 00:07:02,400 --> 00:07:04,080 Speaker 1: chart that people used to talk you know that don't 114 00:07:04,080 --> 00:07:07,320 Speaker 1: talk about that anymore because you know the data. But 115 00:07:07,480 --> 00:07:09,640 Speaker 1: here we although al Gordon, we need to get some 116 00:07:09,720 --> 00:07:13,640 Speaker 1: of just for entertainment purposes, for everyone's amusement, we define 117 00:07:13,880 --> 00:07:19,440 Speaker 1: some of the thunderous bloated al Gore, you know, pounding 118 00:07:19,480 --> 00:07:22,680 Speaker 1: the table about the need the urgency to save the planet, 119 00:07:22,680 --> 00:07:25,559 Speaker 1: and the guy is such a lunatic, and I feel 120 00:07:25,560 --> 00:07:29,200 Speaker 1: sorry for people that believed in his in his nonsense. 121 00:07:29,320 --> 00:07:31,840 Speaker 1: I think we've got it. We got it already in 122 00:07:31,880 --> 00:07:34,640 Speaker 1: the in the roster here, so we can I think 123 00:07:34,680 --> 00:07:36,080 Speaker 1: we can toss that in the mix, because you know, 124 00:07:36,320 --> 00:07:37,920 Speaker 1: on the one hand, there's people who are saying, hey, 125 00:07:37,920 --> 00:07:40,880 Speaker 1: we're thirty one trillion dollars in debt. Isn't there something 126 00:07:41,240 --> 00:07:44,280 Speaker 1: Isn't there an urgency to tackle this problem? Don't we 127 00:07:44,320 --> 00:07:47,680 Speaker 1: want to make sure we don't create a situation where 128 00:07:47,720 --> 00:07:52,040 Speaker 1: we have, you know, hyper inflation at some point in 129 00:07:52,080 --> 00:07:55,480 Speaker 1: our future, or we have a default on the debt, 130 00:07:55,600 --> 00:07:57,400 Speaker 1: or any of these things that can happen that everyone 131 00:07:57,480 --> 00:08:00,200 Speaker 1: right now says, Oh, that'll never happen. Meanwhile, back in 132 00:08:00,280 --> 00:08:04,880 Speaker 1: al gore Land over in Davos, he put down his 133 00:08:05,040 --> 00:08:08,400 Speaker 1: third cheeseburger long enough to start pounding the table and 134 00:08:08,480 --> 00:08:11,200 Speaker 1: yelling at everybody. I'm actually kind of hunger right now, 135 00:08:11,320 --> 00:08:13,600 Speaker 1: yelling at everybody about this play the clip, would you? 136 00:08:16,280 --> 00:08:18,680 Speaker 1: Al Gore screaming at everybody, We've got it. We've got 137 00:08:18,680 --> 00:08:21,280 Speaker 1: a hat cut five. There we go. That's the part 138 00:08:21,320 --> 00:08:25,400 Speaker 1: of the atmosphere that has oxygen. The droposphere. We're still 139 00:08:25,400 --> 00:08:27,840 Speaker 1: putting one hundred and sixty two million tons into it 140 00:08:28,120 --> 00:08:31,640 Speaker 1: every single day, and the accumulated amount is now trapping 141 00:08:31,640 --> 00:08:34,439 Speaker 1: as much extra heat as would be released by six 142 00:08:34,679 --> 00:08:39,199 Speaker 1: hundred thousand herosia mclass atomic bombs exploding every single day 143 00:08:39,200 --> 00:08:42,480 Speaker 1: on the Earth. That's what's boiling the oceans, creating these 144 00:08:42,520 --> 00:08:46,160 Speaker 1: atmospheric rivers and the rain bombs, and sucking the moisture 145 00:08:46,200 --> 00:08:48,760 Speaker 1: out of the land, and creating the droughts and melting 146 00:08:48,800 --> 00:08:51,400 Speaker 1: the ice and raising the sea level and causing these 147 00:08:51,440 --> 00:08:55,720 Speaker 1: waves of climate refugees. Greta Tunberg was just arrested in Germany. 148 00:08:55,920 --> 00:08:59,560 Speaker 1: I agree with her efforts to stop that coal mine 149 00:08:59,600 --> 00:09:03,840 Speaker 1: in I mean this, he's like a psychopathic cult leader, 150 00:09:03,920 --> 00:09:07,160 Speaker 1: screaming nonsense at people, and yet he's surrounded with some 151 00:09:07,200 --> 00:09:11,000 Speaker 1: of the richest and most influential global elites in the world. 152 00:09:11,040 --> 00:09:14,440 Speaker 1: I mean, the stuff boiling the seas. He should go 153 00:09:14,559 --> 00:09:16,840 Speaker 1: jump in the water off Long Island in the wintertime, 154 00:09:17,000 --> 00:09:19,680 Speaker 1: right now, go check it out. Why doesn't Greta ever 155 00:09:19,720 --> 00:09:24,240 Speaker 1: protest in China? She protests an awful lot of places 156 00:09:24,240 --> 00:09:27,520 Speaker 1: where she knows the consequences of protests are actually just 157 00:09:27,600 --> 00:09:34,080 Speaker 1: praise right. I just people who constantly protest and never 158 00:09:34,280 --> 00:09:36,880 Speaker 1: are willing to protest the places that are doing the 159 00:09:36,880 --> 00:09:40,320 Speaker 1: worst version of what they're protesting. I don't have any 160 00:09:40,400 --> 00:09:42,800 Speaker 1: respect for them. Like if Greta got on an airplane 161 00:09:42,920 --> 00:09:45,440 Speaker 1: and flew to China and went and found the most 162 00:09:45,440 --> 00:09:51,080 Speaker 1: polluting region in China and like, you know, locked herself 163 00:09:51,160 --> 00:09:54,640 Speaker 1: to a gate at a Chinese factory, I'll be like, Okay, 164 00:09:54,640 --> 00:09:59,880 Speaker 1: Like she's living her worldview. She's actually putting her cell 165 00:10:00,320 --> 00:10:03,480 Speaker 1: on the line. When you're in Europe, or you're in 166 00:10:03,520 --> 00:10:07,800 Speaker 1: the United States, or you're in a democracy and you 167 00:10:07,840 --> 00:10:11,080 Speaker 1: decide to protest, you often get rewarded. This is like 168 00:10:11,120 --> 00:10:14,679 Speaker 1: the Kaepernick thing, when taking a knee makes you more 169 00:10:14,679 --> 00:10:17,280 Speaker 1: money than standing for the national anthem. Is it really 170 00:10:17,320 --> 00:10:22,359 Speaker 1: brave to take a knee? No? I mean go to China, 171 00:10:22,559 --> 00:10:26,560 Speaker 1: actually stand up to places where there are real human 172 00:10:26,640 --> 00:10:30,240 Speaker 1: rights violations. Put yourself on the line. I mean, she 173 00:10:30,320 --> 00:10:33,320 Speaker 1: can fly in there right now if she's truly obsessed 174 00:10:33,320 --> 00:10:37,559 Speaker 1: with climate change. China is creating far more global greenhouse 175 00:10:37,559 --> 00:10:40,080 Speaker 1: emissions than any other country I think in the world. 176 00:10:40,400 --> 00:10:44,360 Speaker 1: They have relatively limited if any interest in actually declining that, 177 00:10:44,880 --> 00:10:49,840 Speaker 1: go chain yourself to the entrance gate of a Chinese 178 00:10:49,840 --> 00:10:52,920 Speaker 1: factory and see what they do to you. But isn't 179 00:10:52,920 --> 00:10:55,719 Speaker 1: it remarkable that we are It is so much more 180 00:10:55,760 --> 00:10:59,640 Speaker 1: fashionable as we are sitting here and the thirty one 181 00:10:59,640 --> 00:11:02,920 Speaker 1: truly dollar debt limit has been hit, and by any 182 00:11:03,120 --> 00:11:07,720 Speaker 1: objective historical standard, it's crazy. What's what the federal government 183 00:11:07,760 --> 00:11:10,559 Speaker 1: is doing? It's crazy. The problem with waiting until it's 184 00:11:10,559 --> 00:11:13,160 Speaker 1: obvious to everybody is then it's too late. That's also 185 00:11:13,200 --> 00:11:15,679 Speaker 1: when you when you will learn the history of fiat 186 00:11:15,720 --> 00:11:19,400 Speaker 1: currencies and spending crazes. By the time everybody gets that 187 00:11:19,440 --> 00:11:22,520 Speaker 1: this is an issue, it's already it's already too far. Well, 188 00:11:22,640 --> 00:11:24,840 Speaker 1: this is the basis for crypto, right buck. This is 189 00:11:24,840 --> 00:11:27,160 Speaker 1: what all the crypto people, if you really the ones 190 00:11:27,160 --> 00:11:29,920 Speaker 1: who are smart enough to understand it, are like, you 191 00:11:29,960 --> 00:11:33,320 Speaker 1: can't trust currencies anymore because they're so devalued based on 192 00:11:33,360 --> 00:11:35,719 Speaker 1: the debt loads that the only thing that's going to 193 00:11:35,800 --> 00:11:39,360 Speaker 1: have any value is a universal cryptocurrency. Now, I don't 194 00:11:39,360 --> 00:11:41,600 Speaker 1: think clearly has not been the case recently, but that's 195 00:11:41,640 --> 00:11:46,000 Speaker 1: their argument. They see it. At least, it's still an argument. 196 00:11:46,040 --> 00:11:49,000 Speaker 1: I'm not sure how convincing it is because Unfortunately, crypto 197 00:11:49,120 --> 00:11:52,360 Speaker 1: is also through blockchain. What all the transactions are based 198 00:11:52,360 --> 00:11:54,480 Speaker 1: on the ledger, right, so that's all public. But if 199 00:11:54,600 --> 00:11:57,680 Speaker 1: crypto is going to be people creating new coins all 200 00:11:57,679 --> 00:12:01,040 Speaker 1: the time, there's a problem with oh look there's a 201 00:12:01,040 --> 00:12:03,679 Speaker 1: new crypto coin out there. My biggest thing with crypto 202 00:12:03,800 --> 00:12:06,880 Speaker 1: is if you really think we're headed towards governmental collapse, 203 00:12:07,160 --> 00:12:08,679 Speaker 1: are you really think the Wi fi is going to 204 00:12:08,720 --> 00:12:11,440 Speaker 1: be that reliable, Like I think we'll go back to 205 00:12:11,480 --> 00:12:15,959 Speaker 1: gold bars and you know, like the actual ways that 206 00:12:16,000 --> 00:12:19,680 Speaker 1: we had physical assets. Right, You'll notice that in post 207 00:12:19,720 --> 00:12:23,040 Speaker 1: apocalyptic movies there's never a guy who's like, hey, I 208 00:12:23,120 --> 00:12:26,920 Speaker 1: need food, oil and ammunition. Here's my thumb drive with 209 00:12:27,000 --> 00:12:29,840 Speaker 1: my dose coin right right, doesn't really get it done. 210 00:12:30,120 --> 00:12:32,840 Speaker 1: So I'm not sold on the idea that nerds are 211 00:12:32,840 --> 00:12:35,160 Speaker 1: going to deliver the world. And you know, suddenly the 212 00:12:35,480 --> 00:12:37,360 Speaker 1: like the Wi Fi doesn't work that regularly in my 213 00:12:37,440 --> 00:12:40,240 Speaker 1: house now and the democracy works. I'm not really convinced 214 00:12:40,240 --> 00:12:42,600 Speaker 1: that if the world collapses then I'm gonna be able 215 00:12:42,640 --> 00:12:44,560 Speaker 1: to get on and look at cat videos. You know 216 00:12:44,559 --> 00:12:48,800 Speaker 1: what you do need things get rough out there, guns, ammunition, 217 00:12:48,880 --> 00:12:53,000 Speaker 1: important stuff, and gun owners you gotta make sure that 218 00:12:53,080 --> 00:12:56,120 Speaker 1: your skills are sharp right, because you're gonna enjoy yourself 219 00:12:56,120 --> 00:12:58,520 Speaker 1: more at the range. And also you just want to 220 00:12:58,559 --> 00:13:00,640 Speaker 1: make sure you know how to wield your weapon. Like 221 00:13:00,760 --> 00:13:03,520 Speaker 1: everything else out there, the cost of ammunition has been 222 00:13:03,520 --> 00:13:07,880 Speaker 1: affected so much by inflation. Ammo's gotten really expensive. But 223 00:13:08,040 --> 00:13:11,360 Speaker 1: you can train without ammunition at your home. It's a 224 00:13:11,360 --> 00:13:14,560 Speaker 1: device and an accompanying app called mantis X. Many of 225 00:13:14,559 --> 00:13:17,079 Speaker 1: the best shooters now do the majority of their training 226 00:13:17,320 --> 00:13:20,920 Speaker 1: with dry fire practice at home. That's what mantis X is. 227 00:13:20,960 --> 00:13:24,360 Speaker 1: A firearms training system that is a no amo, all 228 00:13:24,400 --> 00:13:28,520 Speaker 1: electronic way to improve your shooting accuracy. It simply attaches 229 00:13:28,559 --> 00:13:30,720 Speaker 1: to your firearm like a weapon light, and that way 230 00:13:30,760 --> 00:13:32,520 Speaker 1: you can use it at home or at the range 231 00:13:32,559 --> 00:13:36,440 Speaker 1: for training instead of using expensive mo. The mantis X 232 00:13:36,480 --> 00:13:39,760 Speaker 1: gives you data driven real time feedback on your technique 233 00:13:39,760 --> 00:13:42,560 Speaker 1: and guides you through drills and courses. Nearly everyone, I 234 00:13:42,559 --> 00:13:44,880 Speaker 1: mean like ninety four percent of the people using the 235 00:13:44,880 --> 00:13:47,680 Speaker 1: mantis x system have seen improvement in their aim and 236 00:13:47,880 --> 00:13:51,840 Speaker 1: results through just twenty minutes of using mantis X. Imagine 237 00:13:51,880 --> 00:13:54,120 Speaker 1: what happens after using this for five or ten hours 238 00:13:54,200 --> 00:13:57,000 Speaker 1: or just regular practice with it. It's also being used, 239 00:13:57,000 --> 00:14:00,760 Speaker 1: by the way by US military special forces, military grade 240 00:14:00,760 --> 00:14:03,920 Speaker 1: technology at an affordable price. Get yours today. I've got 241 00:14:03,960 --> 00:14:07,600 Speaker 1: mine here at home, the mantis X system at mantis 242 00:14:07,840 --> 00:14:11,280 Speaker 1: x dot com. That's m A N T I s 243 00:14:11,800 --> 00:14:18,480 Speaker 1: X dot com. Learn and Laugh Weekdays with Clay Travis 244 00:14:18,480 --> 00:14:21,880 Speaker 1: and Buck Sexton. Welcome back to Clay an Buck. We're 245 00:14:21,880 --> 00:14:28,960 Speaker 1: talking about this controversy on with the NHL. I don't 246 00:14:29,000 --> 00:14:30,760 Speaker 1: think I'm trying to think of when the last time 247 00:14:30,760 --> 00:14:33,760 Speaker 1: I watched a hockey game. I went to a hockey game, 248 00:14:35,320 --> 00:14:38,760 Speaker 1: maybe ten years ago, and I don't even remember who 249 00:14:38,880 --> 00:14:40,680 Speaker 1: was playing. A friend took me, a buddy of mine, 250 00:14:41,040 --> 00:14:42,800 Speaker 1: but I haven't seen hockey. In Wild's point, I don't 251 00:14:42,840 --> 00:14:46,240 Speaker 1: know much about hockey, but I do know about political agendas, 252 00:14:46,880 --> 00:14:51,200 Speaker 1: and clearly the media that is covering the NHL has one, 253 00:14:51,800 --> 00:14:54,960 Speaker 1: and I think increasingly this is something that you're going 254 00:14:55,000 --> 00:14:58,640 Speaker 1: to see spill out into other areas of American I mean, 255 00:14:58,640 --> 00:15:02,120 Speaker 1: it already has, but it's going to be an ongoing thing, 256 00:15:02,200 --> 00:15:06,840 Speaker 1: whether it's announcing your pronouns in your email signature or 257 00:15:07,280 --> 00:15:10,160 Speaker 1: any number of things where you have to go along 258 00:15:10,280 --> 00:15:16,480 Speaker 1: with some of the agenda of LGBTQ plus activism isn't 259 00:15:16,480 --> 00:15:19,360 Speaker 1: amazing even that it can rattle off the acronym with 260 00:15:19,400 --> 00:15:21,320 Speaker 1: that's because we hear it all the time. Yeah, and 261 00:15:21,360 --> 00:15:23,760 Speaker 1: they add to it, but we still this is how 262 00:15:23,800 --> 00:15:27,320 Speaker 1: this all goes. Here's a Canadian journalist and we just 263 00:15:27,440 --> 00:15:33,560 Speaker 1: had this one NHL Network senior reporter talk about how 264 00:15:33,680 --> 00:15:37,160 Speaker 1: this Russian player should go back and fight in the 265 00:15:37,240 --> 00:15:40,160 Speaker 1: Russia Ukraine war. Right. Let me mentioned this too. The 266 00:15:40,160 --> 00:15:42,640 Speaker 1: guy's been in America since he was thirteen years old. 267 00:15:42,880 --> 00:15:45,280 Speaker 1: And I just want everybody out there listening to think, 268 00:15:45,680 --> 00:15:49,320 Speaker 1: if this war an African athlete, right, there's tons of 269 00:15:49,320 --> 00:15:52,040 Speaker 1: guys who were born in Africa that play, for instance, 270 00:15:52,520 --> 00:15:55,520 Speaker 1: in the NBA, now a lot of guys who play 271 00:15:55,640 --> 00:15:59,160 Speaker 1: a variety of sports in the NFL. Two if that, 272 00:15:59,480 --> 00:16:02,600 Speaker 1: if that athlete had refused to wear a gay Pride 273 00:16:02,680 --> 00:16:06,560 Speaker 1: jersey and this guy had come on and said go 274 00:16:06,640 --> 00:16:10,040 Speaker 1: back to Africa, he would never work in sports again. 275 00:16:10,680 --> 00:16:12,840 Speaker 1: So I just want everybody out there to think, when 276 00:16:12,920 --> 00:16:15,160 Speaker 1: you say go back to Russia and, by the way, 277 00:16:15,200 --> 00:16:19,040 Speaker 1: fight in a war and potentially get yourself killed against Ukraine, 278 00:16:20,440 --> 00:16:22,880 Speaker 1: imagine that he says go back to Africa and fight 279 00:16:22,880 --> 00:16:25,960 Speaker 1: in one of your civil wars on your war torn continent. 280 00:16:26,360 --> 00:16:29,640 Speaker 1: If you won't wear a gay Pride jersey, the guy 281 00:16:29,640 --> 00:16:32,240 Speaker 1: would never work again. So I just want everybody out 282 00:16:32,240 --> 00:16:34,680 Speaker 1: there thinking, why is it okay for him to say 283 00:16:35,040 --> 00:16:38,440 Speaker 1: go back to Russia? And also buck if this guy 284 00:16:38,440 --> 00:16:42,280 Speaker 1: were Muslim and he were deciding to do it, would 285 00:16:42,840 --> 00:16:47,040 Speaker 1: this guy say go back to the Middle East? We 286 00:16:47,080 --> 00:16:49,520 Speaker 1: don't want your kind here in this country. If you 287 00:16:49,520 --> 00:16:52,120 Speaker 1: won't wear a gay Pride jersey because of your religion, 288 00:16:52,200 --> 00:16:54,440 Speaker 1: go back to that backwards country in the Middle East 289 00:16:54,440 --> 00:16:56,920 Speaker 1: where you came from. He would never work again either. 290 00:16:57,480 --> 00:17:02,280 Speaker 1: So just because he's Russian, why should the standard of 291 00:17:02,520 --> 00:17:04,680 Speaker 1: go back to your country not be applied the same 292 00:17:04,720 --> 00:17:07,480 Speaker 1: way that it would if it were Asia or Africa 293 00:17:07,760 --> 00:17:09,840 Speaker 1: or the Middle East. Just because he's a white Russian 294 00:17:09,880 --> 00:17:13,000 Speaker 1: guy doesn't mean that his perspective is any less valid 295 00:17:13,080 --> 00:17:17,120 Speaker 1: than theirs would be. Here is a Canadian journalist who 296 00:17:17,160 --> 00:17:22,520 Speaker 1: also had a meltdown because this Flyers player Provarov would 297 00:17:22,560 --> 00:17:26,080 Speaker 1: not wear a Pride jersey Play seventeen. I think you 298 00:17:26,160 --> 00:17:28,320 Speaker 1: fire the Flyers a million dollars for this. I'm not kidding. 299 00:17:28,520 --> 00:17:31,080 Speaker 1: Figure this out and stop offending people on nights where 300 00:17:31,119 --> 00:17:33,800 Speaker 1: it's not about that's supposed to be about inclusivity. Because 301 00:17:33,800 --> 00:17:37,080 Speaker 1: what I heard last night was offensive and didn't make 302 00:17:37,080 --> 00:17:40,960 Speaker 1: any sense because, for instance, if that was a military night, 303 00:17:41,160 --> 00:17:43,000 Speaker 1: if anyone in Canada or in the States on a 304 00:17:43,040 --> 00:17:46,399 Speaker 1: military appreciation night wouldn't wear a jersey pregame, do you 305 00:17:46,440 --> 00:17:49,439 Speaker 1: have any idea the uproar that would have happened on 306 00:17:49,480 --> 00:17:52,040 Speaker 1: that Nothing scares me more than any human being who 307 00:17:52,080 --> 00:17:54,440 Speaker 1: says I'm not doing this because of my religious beliefs, 308 00:17:54,640 --> 00:17:56,800 Speaker 1: because when you looked in people's lives, you normally say 309 00:17:56,840 --> 00:17:59,359 Speaker 1: that publicly you'd throw up at what you saw. So 310 00:17:59,520 --> 00:18:03,840 Speaker 1: don't give me that. First of all. So this is 311 00:18:03,840 --> 00:18:06,439 Speaker 1: a sports let me just I just want this is 312 00:18:06,720 --> 00:18:08,760 Speaker 1: this is where I started pulling my hair out when 313 00:18:08,760 --> 00:18:11,440 Speaker 1: I saw this happening everywhere. But just to reiterate, this 314 00:18:11,560 --> 00:18:14,400 Speaker 1: is a sports program, Like you put this on because 315 00:18:14,400 --> 00:18:17,959 Speaker 1: you're like, hey, I wonder if the Toronto Maple Leafs 316 00:18:18,400 --> 00:18:21,760 Speaker 1: or the Detroit Red Wings are and I'm just taught, 317 00:18:21,840 --> 00:18:24,000 Speaker 1: I'm not an expert in hockey are going to be 318 00:18:24,080 --> 00:18:27,800 Speaker 1: able to make a run over the next month. And 319 00:18:28,000 --> 00:18:31,840 Speaker 1: you hear this like it's not only that it's being said, Buck, 320 00:18:32,160 --> 00:18:35,800 Speaker 1: it's that the incongruity of where you're hearing it. You're 321 00:18:35,800 --> 00:18:38,440 Speaker 1: getting lectured from dudes who otherwise sit around and tell 322 00:18:38,480 --> 00:18:41,280 Speaker 1: you whether a guy deserves his contract or not as 323 00:18:41,320 --> 00:18:44,760 Speaker 1: a forward on a hockey team. Yes, but this is 324 00:18:45,119 --> 00:18:49,720 Speaker 1: this is another instance of go along with an agenda 325 00:18:49,840 --> 00:18:52,880 Speaker 1: that has pushed very much by the left, or else 326 00:18:52,880 --> 00:18:56,560 Speaker 1: you're a horrible person who should be fired from your job, canceled, ruined, 327 00:18:56,600 --> 00:19:01,600 Speaker 1: and destroyed. And we see how much the shift has 328 00:19:01,600 --> 00:19:04,439 Speaker 1: occurred here from let's all just be nice to each other, 329 00:19:04,560 --> 00:19:07,159 Speaker 1: let's all be polite. Let's make sure that everyone is 330 00:19:07,160 --> 00:19:10,479 Speaker 1: equal under the law. To you better do what we 331 00:19:10,560 --> 00:19:13,080 Speaker 1: say and celebrate what we tell you to celebrate. As 332 00:19:13,119 --> 00:19:15,119 Speaker 1: I said yesterday, I don't want to be told to 333 00:19:15,119 --> 00:19:17,080 Speaker 1: celebrate anything. Yeah, I don't want to be told about 334 00:19:17,160 --> 00:19:21,959 Speaker 1: you would go out there and you know where anything 335 00:19:21,960 --> 00:19:23,800 Speaker 1: amga hat. I don't want to be told to go 336 00:19:23,840 --> 00:19:26,160 Speaker 1: out there and I have to put a pin. I'm 337 00:19:26,160 --> 00:19:29,560 Speaker 1: not a flagpin guy, for example. It's just it's not 338 00:19:29,560 --> 00:19:31,240 Speaker 1: because I don't love the flag. I love my country. 339 00:19:31,359 --> 00:19:33,000 Speaker 1: I love the flag, I love my country, but I'm 340 00:19:33,040 --> 00:19:34,720 Speaker 1: just not a flagpin guy. Yeah, I don't want to 341 00:19:34,720 --> 00:19:36,760 Speaker 1: be told that I have to wear a flagpin, like 342 00:19:37,040 --> 00:19:39,200 Speaker 1: you shouldn't have to wear the ribbon, as we all 343 00:19:39,240 --> 00:19:42,840 Speaker 1: know from Seinfeld. Yeah, and buck his analogy there that 344 00:19:42,920 --> 00:19:45,280 Speaker 1: first of all, a couple of the different things were flawed. One, 345 00:19:45,560 --> 00:19:47,440 Speaker 1: if you know, some of the things in the background 346 00:19:47,440 --> 00:19:50,200 Speaker 1: of these people would religion, Like people who are religious 347 00:19:50,240 --> 00:19:54,360 Speaker 1: are imperfect. That is why many people are religious. Right. 348 00:19:54,440 --> 00:19:58,360 Speaker 1: This idea that if you have any skeletons in your closet, 349 00:19:58,520 --> 00:20:02,080 Speaker 1: or if you do things your life that are not 350 00:20:02,240 --> 00:20:05,199 Speaker 1: living up to the ideals of religion, you don't have 351 00:20:05,240 --> 00:20:09,760 Speaker 1: any basis to embrace a religion is fundamentally the antithesis 352 00:20:09,800 --> 00:20:12,720 Speaker 1: of why many people do, in fact embrace religion. So 353 00:20:12,760 --> 00:20:15,920 Speaker 1: that's a ridiculous argument. But he then said, oh, well 354 00:20:15,960 --> 00:20:20,600 Speaker 1: he would wear a military jersey that salutes the troops. Well, 355 00:20:20,840 --> 00:20:25,359 Speaker 1: that's what you do, right, Like the whole concept of 356 00:20:25,359 --> 00:20:29,520 Speaker 1: a jersey is you wear the jersey of something that 357 00:20:29,600 --> 00:20:33,040 Speaker 1: you support, right, So, like I am a fan of 358 00:20:33,040 --> 00:20:37,360 Speaker 1: the Tennessee Titans. Unfortunately, I would not wear a jersey 359 00:20:37,600 --> 00:20:42,480 Speaker 1: of the Houston Texans because they're a different team, right, 360 00:20:42,760 --> 00:20:45,280 Speaker 1: Like you wear the jersey of what you support. And 361 00:20:46,240 --> 00:20:48,840 Speaker 1: if and I'm maybe not everybody would agree with me. 362 00:20:48,920 --> 00:20:51,920 Speaker 1: But I was talking about this earlier on one of 363 00:20:51,920 --> 00:20:54,000 Speaker 1: our OutKick programs. But there used to be a ton 364 00:20:54,040 --> 00:20:57,399 Speaker 1: of Quakers in Pennsylvania, right, Like Benjamin Franklin, I believe 365 00:20:57,640 --> 00:21:01,240 Speaker 1: was a Quaker. It's a religious faith that is non 366 00:21:01,400 --> 00:21:04,040 Speaker 1: violent in nature. I'm not sure how many Quakers there 367 00:21:04,040 --> 00:21:07,800 Speaker 1: still are, but they would get religious exemptions because they 368 00:21:07,840 --> 00:21:11,359 Speaker 1: refuse to fight in all wars. Right if this guy 369 00:21:11,440 --> 00:21:16,439 Speaker 1: Proverov was instead of Russian Orthodox, if he wore a 370 00:21:16,520 --> 00:21:20,440 Speaker 1: Quaker and he came out and said, hey, I understand 371 00:21:20,440 --> 00:21:24,040 Speaker 1: militaries are important to many different people, but because I'm 372 00:21:24,040 --> 00:21:28,080 Speaker 1: a Quaker, my religion doesn't allow me to support military. 373 00:21:28,440 --> 00:21:30,280 Speaker 1: And he said, I'm not going to wear a military 374 00:21:30,400 --> 00:21:33,159 Speaker 1: label on my jersey. As a result, I can't speak 375 00:21:33,160 --> 00:21:35,879 Speaker 1: for everyone, but if he explained that, I might not 376 00:21:35,960 --> 00:21:38,439 Speaker 1: agree with it, but I wouldn't be like, oh, this 377 00:21:38,480 --> 00:21:41,000 Speaker 1: guy has to leave the country. I'd be like, well, 378 00:21:41,040 --> 00:21:43,920 Speaker 1: that's his religious beliefs. People have different religious beliefs. That's 379 00:21:43,920 --> 00:21:46,600 Speaker 1: why we were founded as a country for religious want 380 00:21:46,600 --> 00:21:49,280 Speaker 1: to know. So if if there's a decision that's made 381 00:21:49,320 --> 00:21:53,720 Speaker 1: that everyone has to everyone has to in some act 382 00:21:53,760 --> 00:21:59,240 Speaker 1: of solidarity with you know, Trent, with transgender youth. You 383 00:21:59,320 --> 00:22:02,200 Speaker 1: have to wear something, right, you have to or you 384 00:22:02,520 --> 00:22:05,240 Speaker 1: have to don some kind of you know, emblem or 385 00:22:05,280 --> 00:22:08,919 Speaker 1: symbol of that. A lot of people have issues with 386 00:22:09,000 --> 00:22:12,280 Speaker 1: the whole notion of kids being told that they're training 387 00:22:12,359 --> 00:22:14,720 Speaker 1: one hundred percent. So do you have to go along 388 00:22:14,720 --> 00:22:16,480 Speaker 1: with that or your hole? By the way, the answer 389 00:22:16,520 --> 00:22:19,080 Speaker 1: that Democrats and the left would give, including Biden all 390 00:22:19,160 --> 00:22:21,600 Speaker 1: left the White House is yes, here's must paint some 391 00:22:21,720 --> 00:22:23,639 Speaker 1: into a corner that they can't answer. Buck And this 392 00:22:23,680 --> 00:22:26,080 Speaker 1: is one for all of you out there. What if 393 00:22:26,280 --> 00:22:29,240 Speaker 1: the Philadelphia Flyers had decided that they wanted to have 394 00:22:29,400 --> 00:22:32,960 Speaker 1: a Christian faith knight and everyone had to wear a 395 00:22:33,080 --> 00:22:36,880 Speaker 1: jersey that had a gigantic cross on it. Yep, they 396 00:22:36,880 --> 00:22:39,600 Speaker 1: would never say this guy who said go back to Russia. 397 00:22:39,840 --> 00:22:43,320 Speaker 1: If a player said, hey, I understand some people are Christian, 398 00:22:43,400 --> 00:22:46,600 Speaker 1: I don't feel comfortable wearing a cross because my religious 399 00:22:46,600 --> 00:22:49,679 Speaker 1: faiths are different, I would say, you know, we're a 400 00:22:49,760 --> 00:22:52,840 Speaker 1: multi plural society. I understand people who are Christian. I 401 00:22:52,920 --> 00:22:56,760 Speaker 1: respect that choice. This guy wouldn't say. He would actually 402 00:22:56,800 --> 00:22:59,320 Speaker 1: say that the player who refused to wear the cross 403 00:22:59,440 --> 00:23:01,679 Speaker 1: was a hero, he'd be like, well, this is what 404 00:23:01,800 --> 00:23:04,000 Speaker 1: you have to do. You can't stay up, like forced 405 00:23:04,240 --> 00:23:08,639 Speaker 1: enforced religion would be unacceptable to him. Well, this is 406 00:23:08,680 --> 00:23:12,639 Speaker 1: a religion, right, That's what people haven't realized. Wokeism is 407 00:23:12,680 --> 00:23:17,199 Speaker 1: a religion, and this is a form of genuflecting before 408 00:23:17,280 --> 00:23:22,920 Speaker 1: that altar is wearing this gay pride. Absolutely, absolutely true. 409 00:23:23,560 --> 00:23:26,200 Speaker 1: And it's funny too because he says, you know, can 410 00:23:26,200 --> 00:23:29,399 Speaker 1: you imagine if you didn't do military appreciation night, Colin 411 00:23:29,480 --> 00:23:34,960 Speaker 1: Kaepernick became some kind of international you know, civil rights 412 00:23:34,960 --> 00:23:41,040 Speaker 1: superstar Nike, you know, headlining, multi multi millionaire on top 413 00:23:41,080 --> 00:23:42,840 Speaker 1: of what the NFL had already paid him more money 414 00:23:42,880 --> 00:23:46,040 Speaker 1: you'd ever made before in his life because he did 415 00:23:46,080 --> 00:23:49,080 Speaker 1: something that obviously was meant to antagonize people who support 416 00:23:49,080 --> 00:23:50,800 Speaker 1: the troops in the flag, even though it's about you know, 417 00:23:51,000 --> 00:23:54,359 Speaker 1: injustice or police or racism or whatever. We all know 418 00:23:54,400 --> 00:23:56,560 Speaker 1: what it was about. Okay, Yes, that's why he did 419 00:23:56,560 --> 00:23:59,560 Speaker 1: it when it was the national anthem. So this notion like, oh, 420 00:23:59,560 --> 00:24:02,359 Speaker 1: could you imagine, Yeah, the left would actually cheer for 421 00:24:02,520 --> 00:24:04,560 Speaker 1: someone who did that, which is what they did, by 422 00:24:04,600 --> 00:24:06,480 Speaker 1: the way, and we're not even talking about somebody. It's 423 00:24:06,520 --> 00:24:08,680 Speaker 1: not like he went out there and try to show 424 00:24:08,720 --> 00:24:10,880 Speaker 1: some form of disrespect while this was going on. He's 425 00:24:10,880 --> 00:24:12,240 Speaker 1: just like, look, I don't want to be a part 426 00:24:12,240 --> 00:24:16,280 Speaker 1: of this. Good point by Ali, our producer. If the 427 00:24:16,280 --> 00:24:19,639 Speaker 1: Philadelphia Flyers came out and said, hey, we're supporting police 428 00:24:19,680 --> 00:24:23,560 Speaker 1: officers and so we've got some insignia associated with the 429 00:24:23,560 --> 00:24:27,160 Speaker 1: police on it, and a player refused to wear that jersey, 430 00:24:27,640 --> 00:24:31,200 Speaker 1: then this guy would praise it, right, He'd be like, Oh, 431 00:24:31,359 --> 00:24:34,159 Speaker 1: you shouldn't have to support military or police if you 432 00:24:34,200 --> 00:24:35,840 Speaker 1: don't want to. That's not a part of your job. 433 00:24:35,880 --> 00:24:38,520 Speaker 1: You're just a hockey player, I mean that. And so 434 00:24:38,600 --> 00:24:41,160 Speaker 1: you really paint him into a corner. And what this 435 00:24:41,240 --> 00:24:45,480 Speaker 1: is really about is content based discrimination. And that's why 436 00:24:45,880 --> 00:24:48,800 Speaker 1: that's why it's so important, I think, to fire back 437 00:24:48,840 --> 00:24:50,919 Speaker 1: against these guys. So we've got a request out to 438 00:24:50,960 --> 00:24:55,600 Speaker 1: both the NHL Network and to the NHL itself because 439 00:24:55,640 --> 00:24:57,760 Speaker 1: they employ this guy who said he needs to go 440 00:24:57,760 --> 00:25:00,480 Speaker 1: back to Russia. Like, what's your perspect if this is 441 00:25:00,560 --> 00:25:03,080 Speaker 1: your program that you put this out, you need to 442 00:25:03,080 --> 00:25:05,480 Speaker 1: have an answer for whether you think this player should 443 00:25:05,520 --> 00:25:07,280 Speaker 1: go back to Russia. Who's been here for since he 444 00:25:07,359 --> 00:25:10,600 Speaker 1: was thirteen because of his religious beliefs, and we'll take 445 00:25:10,640 --> 00:25:13,760 Speaker 1: some of your calls eight two eight two two eight 446 00:25:13,800 --> 00:25:16,760 Speaker 1: eight two phone number as always in the meantime. Who 447 00:25:16,840 --> 00:25:19,800 Speaker 1: knew two decades ago when smartphones became all the rage, 448 00:25:19,800 --> 00:25:22,520 Speaker 1: it would mean the end of the family video camera. 449 00:25:22,880 --> 00:25:25,159 Speaker 1: You remember that when your dad mom walk around with 450 00:25:25,200 --> 00:25:28,480 Speaker 1: that family big video camera on the shoulder taking all 451 00:25:28,480 --> 00:25:32,719 Speaker 1: the footage of Christmas, New Year's and holidays and birthdays 452 00:25:32,760 --> 00:25:35,840 Speaker 1: and everything else. How many of those old VCR tapes 453 00:25:35,920 --> 00:25:39,480 Speaker 1: do you guys have now? Your mom, your dad, your grandparents. Today, 454 00:25:39,480 --> 00:25:41,639 Speaker 1: you don't even think twice about using your phone to 455 00:25:41,680 --> 00:25:44,560 Speaker 1: capture great family moments. Back in the day you had 456 00:25:44,600 --> 00:25:49,080 Speaker 1: that big camcorder with the VCR inside. Don't you want 457 00:25:49,080 --> 00:25:51,840 Speaker 1: to preserve all those memories forever? Guess what your VCR 458 00:25:51,920 --> 00:25:55,680 Speaker 1: tape is disintegrating. It's not going to last forever. You 459 00:25:55,720 --> 00:25:58,359 Speaker 1: need to make sure that those family memories exist for 460 00:25:58,680 --> 00:26:02,040 Speaker 1: as long as you work family cares about them, which 461 00:26:02,040 --> 00:26:05,600 Speaker 1: hopefully will be long long into the future. And you 462 00:26:05,600 --> 00:26:07,919 Speaker 1: can get hooked up right now and making sure that 463 00:26:07,960 --> 00:26:12,080 Speaker 1: your family's most cherished memories exist far into the future 464 00:26:12,160 --> 00:26:15,400 Speaker 1: and are preserved forever. By going to legacybox dot com 465 00:26:15,440 --> 00:26:18,800 Speaker 1: slash clay to take advantage of a great discount. Again, 466 00:26:19,280 --> 00:26:24,000 Speaker 1: preserve your family memories forever. Great Valentine's Day gift Go 467 00:26:24,040 --> 00:26:27,959 Speaker 1: to legacybox dot com slash clay one more time legacy 468 00:26:28,040 --> 00:26:34,439 Speaker 1: box dot com slash Clay. Speaking truth and having fun Clay, 469 00:26:34,520 --> 00:26:37,400 Speaker 1: Travis and Buck Sexton. So we had a little fun 470 00:26:37,520 --> 00:26:41,560 Speaker 1: before talking about al Gore, who was very close to 471 00:26:41,640 --> 00:26:48,880 Speaker 1: being president worth reminding everybody of that at this phase. Wow, 472 00:26:50,000 --> 00:26:51,639 Speaker 1: Clay out, you don't have to give me an in 473 00:26:51,640 --> 00:26:54,200 Speaker 1: depth analysis on this. I just from know gut reaction. 474 00:26:55,400 --> 00:26:58,840 Speaker 1: Would you rather Biden continue as president for the rest 475 00:26:58,840 --> 00:27:02,320 Speaker 1: of this term or do you think al Gore replacing 476 00:27:02,359 --> 00:27:04,600 Speaker 1: him would be better or worse? Oh? I think al 477 00:27:04,680 --> 00:27:07,840 Speaker 1: Gore would be way better. Just yeah, I think it 478 00:27:07,880 --> 00:27:11,320 Speaker 1: would be way better, just because I think that Gore 479 00:27:11,680 --> 00:27:17,560 Speaker 1: is actually capable of thought. Um, and I don't like 480 00:27:17,680 --> 00:27:24,359 Speaker 1: I understand this, this whole obsession with climate change is 481 00:27:24,480 --> 00:27:26,639 Speaker 1: this is this is lunacy Clay, Okay, this is like 482 00:27:26,720 --> 00:27:28,800 Speaker 1: his religion and he's a high priest in it, and 483 00:27:28,840 --> 00:27:31,600 Speaker 1: it's a think I think you're you would they would 484 00:27:31,600 --> 00:27:34,800 Speaker 1: get rid of plastic bags in Tennessee. They'd come after you, guys. 485 00:27:34,960 --> 00:27:38,240 Speaker 1: I don't think that he would be able to do 486 00:27:38,359 --> 00:27:42,000 Speaker 1: anything that they haven't already done on climate related issues. 487 00:27:42,560 --> 00:27:45,919 Speaker 1: And I think he's lost his mind. I think this 488 00:27:46,000 --> 00:27:48,320 Speaker 1: is the this is the downside in general, Buck, I 489 00:27:48,320 --> 00:27:51,200 Speaker 1: would say, with being a public figure for a long 490 00:27:51,280 --> 00:27:56,520 Speaker 1: time and not having some dose of reality. It's just 491 00:27:56,720 --> 00:27:58,800 Speaker 1: like does he care about like who wins a college 492 00:27:58,800 --> 00:28:01,000 Speaker 1: football game? I think it's a Horton did not get 493 00:28:01,040 --> 00:28:04,280 Speaker 1: maniacally focused on any one thing, right, and his thing 494 00:28:04,359 --> 00:28:09,520 Speaker 1: is the climate. Like Greta, here he is yesterday saying 495 00:28:09,560 --> 00:28:12,680 Speaker 1: that the greatest threat to remember thirty one point four trillion, 496 00:28:12,720 --> 00:28:15,280 Speaker 1: We just hit it today. Here. The greatest threat to 497 00:28:15,280 --> 00:28:18,399 Speaker 1: the global economy not the rush of Ukraine war, not 498 00:28:18,520 --> 00:28:21,600 Speaker 1: the thirty one trillion, no, no, none of that. It is, 499 00:28:21,640 --> 00:28:24,240 Speaker 1: of course, climate change blicklip eight. We live on an 500 00:28:24,240 --> 00:28:28,560 Speaker 1: earth that is under siege, and it's costing an increasing 501 00:28:28,600 --> 00:28:30,560 Speaker 1: amount each year in the last decade two and a 502 00:28:30,560 --> 00:28:33,760 Speaker 1: half trillion dollars, an increase of one trillion over the 503 00:28:33,760 --> 00:28:37,479 Speaker 1: previous ten years. In the annual report put out by 504 00:28:37,520 --> 00:28:40,960 Speaker 1: the WEFT here in Davos, each year, the greatest threat 505 00:28:41,000 --> 00:28:45,800 Speaker 1: to the global economy is the climate crisis. I just 506 00:28:45,800 --> 00:28:48,200 Speaker 1: don't buy it. I look, but here's my thing, And 507 00:28:48,280 --> 00:28:50,600 Speaker 1: nobody ever really is able to understand this or I 508 00:28:50,680 --> 00:28:53,400 Speaker 1: understand its own word, but like really like dispute it. 509 00:28:53,960 --> 00:28:59,240 Speaker 1: If you study the history of the Earth's geology for 510 00:28:59,400 --> 00:29:03,960 Speaker 1: a very long time, what you see is that wide 511 00:29:04,080 --> 00:29:09,320 Speaker 1: ranges of temperature occur all of the time, right, like 512 00:29:09,480 --> 00:29:15,320 Speaker 1: there are dinosaur bones in far northern Canada because it 513 00:29:15,560 --> 00:29:18,080 Speaker 1: used to be and I'm I'm not an expert on 514 00:29:18,160 --> 00:29:21,440 Speaker 1: the overall climate, but it used to be like a 515 00:29:21,960 --> 00:29:27,040 Speaker 1: you know, swamp and tropical environment in kind in Canada, 516 00:29:27,160 --> 00:29:31,920 Speaker 1: right historically and I'm not talking historically maybe even the 517 00:29:31,920 --> 00:29:35,880 Speaker 1: wrong word, because we're talking about maybe geologically. The constant 518 00:29:36,080 --> 00:29:39,840 Speaker 1: change of temperature has been one of the biggest parts 519 00:29:39,840 --> 00:29:41,920 Speaker 1: of life on the planet. So I just don't buy 520 00:29:42,000 --> 00:29:44,440 Speaker 1: that suddenly humans are going to get wiped off the 521 00:29:44,480 --> 00:29:48,520 Speaker 1: planet because the climate changes. So I think that it's 522 00:29:48,560 --> 00:29:51,480 Speaker 1: you can make this really simple, because I'll go we 523 00:29:51,480 --> 00:29:54,120 Speaker 1: could just play you endless clips of him saying completely insane, 524 00:29:54,160 --> 00:29:57,560 Speaker 1: completely insane things on a regular basis, making predictions that 525 00:29:57,600 --> 00:30:01,160 Speaker 1: are absolutely wrong, and it doesn't matter, doesn't care, and 526 00:30:01,240 --> 00:30:02,960 Speaker 1: so in a sense, what we've seen with COVID, where 527 00:30:02,960 --> 00:30:05,880 Speaker 1: people have been completely wrong, took all this power into 528 00:30:05,920 --> 00:30:09,480 Speaker 1: their hands, totally wrong, and there's no remorse, there's no apology, 529 00:30:09,960 --> 00:30:12,840 Speaker 1: they just kind of continue going on with this climate 530 00:30:13,320 --> 00:30:15,479 Speaker 1: is the area where you've seen something similar to that 531 00:30:15,520 --> 00:30:17,840 Speaker 1: the science says, But the science is always wrong, So 532 00:30:17,880 --> 00:30:20,520 Speaker 1: why don't we keep listening to the quote science. I'm 533 00:30:20,560 --> 00:30:23,120 Speaker 1: here in Miami right now, Clay. If I went up 534 00:30:23,120 --> 00:30:25,200 Speaker 1: to somebody, because if you look at An Inconvenient Truth, 535 00:30:25,240 --> 00:30:29,920 Speaker 1: the Al Gore movie, you remember, Florida goes underwater very 536 00:30:30,080 --> 00:30:32,480 Speaker 1: very soon. I've never even watched An Inconvenient Truth. I 537 00:30:32,480 --> 00:30:36,560 Speaker 1: should probably go watch it. It's so bad. It's so bad. 538 00:30:36,240 --> 00:30:39,400 Speaker 1: I had a college girlfriend when I was back in college. 539 00:30:39,400 --> 00:30:42,280 Speaker 1: She was liberal and she made me watch it, and 540 00:30:42,320 --> 00:30:46,680 Speaker 1: it's terrible. But anyway, if I went up to somebody 541 00:30:46,720 --> 00:30:49,360 Speaker 1: who had beachfront property here in down in Florida and 542 00:30:49,400 --> 00:30:51,960 Speaker 1: I said, look, I got a great I got a 543 00:30:51,960 --> 00:30:55,080 Speaker 1: great opportunity for you. Your house is gonna be underwater 544 00:30:55,160 --> 00:30:57,080 Speaker 1: in the next ten to fifteen years. We know this 545 00:30:57,160 --> 00:31:01,520 Speaker 1: because of the science. I will give you a twenty 546 00:31:01,560 --> 00:31:04,080 Speaker 1: five percent offer on the current value of your house 547 00:31:04,160 --> 00:31:07,560 Speaker 1: right now, no questions asked. I think I could do 548 00:31:07,600 --> 00:31:11,320 Speaker 1: that for literally every resident with beachfront property here in 549 00:31:11,440 --> 00:31:15,360 Speaker 1: Florida and not get a single not get a single person, 550 00:31:15,760 --> 00:31:18,320 Speaker 1: no matter what their politics are, who they vote for, 551 00:31:18,560 --> 00:31:20,960 Speaker 1: or how much they say they're worried about climate and 552 00:31:21,040 --> 00:31:23,920 Speaker 1: climate change is gonna melt the world, Not a single 553 00:31:23,920 --> 00:31:25,720 Speaker 1: one of them would take me up on that, because 554 00:31:25,720 --> 00:31:28,080 Speaker 1: they don't actually believe it. This is a thing with 555 00:31:28,160 --> 00:31:32,360 Speaker 1: climate change. They just want the benefit of the pretense 556 00:31:32,400 --> 00:31:35,480 Speaker 1: of the belief without actually having to live the lifestyle 557 00:31:35,600 --> 00:31:38,040 Speaker 1: or go through any of this. It's always somebody else 558 00:31:38,080 --> 00:31:40,880 Speaker 1: who has to bear the cost of the action necessary 559 00:31:41,000 --> 00:31:43,320 Speaker 1: to keep all of this going right. Somebody else has 560 00:31:43,360 --> 00:31:48,000 Speaker 1: to make the sacrifices. I love looking the whole Davos thing, 561 00:31:48,080 --> 00:31:51,560 Speaker 1: where you fly on a private jet, often get picked 562 00:31:51,640 --> 00:31:54,560 Speaker 1: up by a helicopter once you land your private jet 563 00:31:54,960 --> 00:31:59,080 Speaker 1: to go talk about how threatening climate change is is 564 00:31:59,800 --> 00:32:03,840 Speaker 1: absurdly hypocritically ridiculous. But your point on Miami is a 565 00:32:03,880 --> 00:32:08,320 Speaker 1: good one. I would just go out to la every 566 00:32:08,480 --> 00:32:12,880 Speaker 1: single day. It feels like, certainly every month there is 567 00:32:12,920 --> 00:32:18,320 Speaker 1: a massive new record cell in Malibu on the beach 568 00:32:19,240 --> 00:32:23,560 Speaker 1: beachfront properties going for dollar figures that are through the roof. 569 00:32:24,280 --> 00:32:26,840 Speaker 1: Yet when I put on the oscars to the extent 570 00:32:26,880 --> 00:32:28,520 Speaker 1: that I do, because I'm not sure I saw any 571 00:32:28,520 --> 00:32:30,680 Speaker 1: of the movies that are gonna be OSCAR nominated this year, 572 00:32:31,760 --> 00:32:35,520 Speaker 1: A decent number of those actors and actresses that get 573 00:32:35,600 --> 00:32:38,480 Speaker 1: up and speak about how danger the climate is in 574 00:32:38,520 --> 00:32:43,960 Speaker 1: the world will either have the people who fund their 575 00:32:44,000 --> 00:32:47,040 Speaker 1: movies having bought Malibu beach houses or own one themselves. 576 00:32:47,160 --> 00:32:49,960 Speaker 1: If you truly believe, I'll be honest with you, one 577 00:32:49,960 --> 00:32:51,600 Speaker 1: of the first things I did when I sold my 578 00:32:51,680 --> 00:32:55,640 Speaker 1: company buck was by beachfront property down on the Florida 579 00:32:55,680 --> 00:32:58,920 Speaker 1: Gulf Coast to build a home down there. I don't 580 00:32:58,960 --> 00:33:01,000 Speaker 1: believe that that home is ever going to be in 581 00:33:01,120 --> 00:33:04,760 Speaker 1: danger because of the rising oceans. Neither of the people 582 00:33:04,800 --> 00:33:07,760 Speaker 1: buying homes in Malibu. Because if you did what I'm 583 00:33:07,760 --> 00:33:11,000 Speaker 1: sold for one hundred million dollars recently, Buckets on the beach, 584 00:33:11,320 --> 00:33:13,880 Speaker 1: and you could even say, well, okay, well fine, maybe 585 00:33:13,880 --> 00:33:15,560 Speaker 1: they just want the house for the next ten years 586 00:33:15,560 --> 00:33:17,760 Speaker 1: and they'll roll the dice on the rest of it. Okay, 587 00:33:17,800 --> 00:33:22,440 Speaker 1: I'll buy land, sell me undeveloped beach front land in Malibu, 588 00:33:22,640 --> 00:33:25,120 Speaker 1: because you know that'll take a long to have to 589 00:33:25,120 --> 00:33:27,400 Speaker 1: build a house. I'll have to do the I'll take 590 00:33:27,480 --> 00:33:30,120 Speaker 1: that thirty year bet right now. I'll take that thirty 591 00:33:30,200 --> 00:33:35,120 Speaker 1: year bet. Not a single person will actually do it. Nobody, 592 00:33:35,240 --> 00:33:39,040 Speaker 1: nobody is willing to individually pay the price of their 593 00:33:39,440 --> 00:33:42,640 Speaker 1: pseudo convictions when it comes to climate change and the 594 00:33:42,680 --> 00:33:45,800 Speaker 1: fact that people worship this child, Greta Fundberg. I guess 595 00:33:45,800 --> 00:33:48,680 Speaker 1: she's like eighteen now, right, but it's basically still a kid. 596 00:33:48,760 --> 00:33:52,200 Speaker 1: Doesn't know anything and think that she's that They treat 597 00:33:52,200 --> 00:33:54,520 Speaker 1: her as some kind of symbol of wisdom on this. 598 00:33:54,880 --> 00:33:56,800 Speaker 1: The same people who say shut up and listen to 599 00:33:56,840 --> 00:33:59,680 Speaker 1: Fauci and all the doctors because they're experts, the same 600 00:33:59,720 --> 00:34:02,960 Speaker 1: people tell you shut up and listen to Greta Fundberg. 601 00:34:03,000 --> 00:34:07,000 Speaker 1: She understands the climate. Greta Fundberg couldn't do my Algebra 602 00:34:07,080 --> 00:34:10,319 Speaker 1: one homework from high school. But I'm going to listen 603 00:34:10,360 --> 00:34:13,239 Speaker 1: to her about the global economy and how we're all 604 00:34:13,239 --> 00:34:16,040 Speaker 1: gonna die unless we listen to her like this. There 605 00:34:16,160 --> 00:34:20,759 Speaker 1: is a mass hysteria that has spread on issues like this, 606 00:34:20,800 --> 00:34:24,359 Speaker 1: and particularly on climate change. I've talked to people think. 607 00:34:24,520 --> 00:34:26,480 Speaker 1: I've had people approached me and say, you know, you 608 00:34:26,480 --> 00:34:29,400 Speaker 1: seem pretty reasonable and everything else. You know, some wealthy 609 00:34:29,440 --> 00:34:31,279 Speaker 1: people in New York. This has happening before. They say, 610 00:34:31,400 --> 00:34:33,160 Speaker 1: but I mean you don't believe in climate change. They 611 00:34:33,200 --> 00:34:36,080 Speaker 1: look at me like I'm crazy. Yeah, and they and 612 00:34:36,160 --> 00:34:40,000 Speaker 1: they think that that's some kind of marker of intelligence. Oh, 613 00:34:40,120 --> 00:34:44,160 Speaker 1: believing in climate change means you're a smart person, based 614 00:34:44,200 --> 00:34:47,680 Speaker 1: on what buck Every story that has to do with 615 00:34:47,840 --> 00:34:52,839 Speaker 1: weather in the last decade, every one of them now 616 00:34:53,239 --> 00:34:57,040 Speaker 1: must mention climate change in its article about weather. In 617 00:34:57,040 --> 00:35:00,919 Speaker 1: the nineteen eighties, it was cold and some hot. I love. 618 00:35:01,040 --> 00:35:03,839 Speaker 1: I do love late at night if I'm gonna watch 619 00:35:03,840 --> 00:35:06,719 Speaker 1: something I love to watch, you know, uh, any of 620 00:35:06,719 --> 00:35:09,480 Speaker 1: those old like you know, the nature programs like oh 621 00:35:09,560 --> 00:35:12,320 Speaker 1: and like the sea lion is going through the ocean 622 00:35:12,400 --> 00:35:15,560 Speaker 1: and oh no, the part of Orcas has arrived, you know, 623 00:35:15,600 --> 00:35:19,759 Speaker 1: the whole thing in Richard Attenborough. Um. Every time now 624 00:35:19,960 --> 00:35:24,120 Speaker 1: you watch any natural pro nature programming, they'll be like, oh, 625 00:35:24,160 --> 00:35:27,799 Speaker 1: this this fish species is declining because of the ravages 626 00:35:27,840 --> 00:35:31,160 Speaker 1: of climate change. Every single time you can't watch one 627 00:35:31,200 --> 00:35:34,319 Speaker 1: without that happening. And so I'm angry at them about that. Too, 628 00:35:34,320 --> 00:35:36,600 Speaker 1: because they're ruining what should be. I mean, can we 629 00:35:36,719 --> 00:35:40,280 Speaker 1: can we just watch like lions chase gazelles without getting 630 00:35:40,320 --> 00:35:42,680 Speaker 1: someone's lunatic politics thrown in the knicks? By the way, 631 00:35:42,719 --> 00:35:44,080 Speaker 1: here what we have Greta. Do you want to hear 632 00:35:44,120 --> 00:35:46,759 Speaker 1: the Gretta audio? We have Greta audio. I want her 633 00:35:46,760 --> 00:35:48,640 Speaker 1: to go to China and and and I want her 634 00:35:48,680 --> 00:35:51,000 Speaker 1: to walk herself to a gate at a Chinese factory 635 00:35:51,000 --> 00:35:53,080 Speaker 1: to protest Chima climate change. That's what I'm calling on 636 00:35:53,160 --> 00:36:00,279 Speaker 1: Greti Thundberg to do. Play clip twenty. Oh oh, I 637 00:36:00,320 --> 00:36:02,720 Speaker 1: thought we had I thought we had it. Sorry, well, 638 00:36:02,920 --> 00:36:04,799 Speaker 1: we'll get to Greta when we come back. But she 639 00:36:04,920 --> 00:36:09,560 Speaker 1: just got arrested, and sure enough, this is where she's 640 00:36:09,600 --> 00:36:12,759 Speaker 1: gonna be safe again. Here's the other thing I can. 641 00:36:12,760 --> 00:36:14,360 Speaker 1: I can I point out what what just happened? Just 642 00:36:14,400 --> 00:36:16,600 Speaker 1: over notes. This is problem with live radio. Our team 643 00:36:16,719 --> 00:36:20,960 Speaker 1: sent me Greta is twenty, and I assume they meant, oh, 644 00:36:21,000 --> 00:36:24,280 Speaker 1: we have the audio. It's clipped twenty, but she's actually 645 00:36:24,440 --> 00:36:27,200 Speaker 1: years twenty years old, now I understand, which is no 646 00:36:27,239 --> 00:36:30,759 Speaker 1: longer a teenager. She's a she's a she's a very 647 00:36:30,840 --> 00:36:34,799 Speaker 1: well seasoned twenty year old right now, I will just 648 00:36:34,840 --> 00:36:38,560 Speaker 1: point this out too, in addition to every time there 649 00:36:38,640 --> 00:36:40,960 Speaker 1: is an article now about any climate issue they mentioned 650 00:36:40,960 --> 00:36:43,520 Speaker 1: and you just said on the health, on the you know, 651 00:36:43,640 --> 00:36:47,000 Speaker 1: nature shows they've been taking. My wife used to make 652 00:36:47,040 --> 00:36:49,200 Speaker 1: fun of this because all sometimes listen to history books 653 00:36:49,200 --> 00:36:51,960 Speaker 1: on on like audio book when we're driving around, and 654 00:36:51,960 --> 00:36:54,360 Speaker 1: she just rolls her eyes the amount of time they 655 00:36:54,440 --> 00:36:59,160 Speaker 1: spend talking about the weather in any history book. It's like, oh, 656 00:36:59,280 --> 00:37:02,879 Speaker 1: we had a horrible storm, and then that impact like, well, 657 00:37:02,920 --> 00:37:04,560 Speaker 1: there's kind of been a big deal for a long time. 658 00:37:04,880 --> 00:37:07,840 Speaker 1: And so this idea that every single time there is 659 00:37:07,880 --> 00:37:10,480 Speaker 1: a unique weather event that is worthy of being covered 660 00:37:10,480 --> 00:37:13,840 Speaker 1: as a story, that you have to discuss the climate change. 661 00:37:14,080 --> 00:37:16,960 Speaker 1: Yet simultaneously, what will they say, buck about any time 662 00:37:17,000 --> 00:37:19,120 Speaker 1: a twenty year old drops dead all of a sudden. 663 00:37:19,719 --> 00:37:22,319 Speaker 1: You can't mention that there might be anything other than 664 00:37:23,000 --> 00:37:26,160 Speaker 1: normal everyday life that this is involved in. Right, can 665 00:37:26,239 --> 00:37:28,480 Speaker 1: mention the COVID shot, But every single time there's a 666 00:37:28,520 --> 00:37:30,680 Speaker 1: weather incident, you have to mention the climate. We can 667 00:37:30,680 --> 00:37:32,960 Speaker 1: definitely mention the thirty one trillion dollars in debt, and 668 00:37:32,960 --> 00:37:35,000 Speaker 1: we're going to keep mentioning it because a lot of 669 00:37:35,040 --> 00:37:37,319 Speaker 1: impacts on the economy and people are thinking we could 670 00:37:37,320 --> 00:37:41,080 Speaker 1: head into a deep recession this coming year. Who knows 671 00:37:41,560 --> 00:37:44,319 Speaker 1: you got the inflation problem, the volatle stock market. What 672 00:37:44,360 --> 00:37:46,080 Speaker 1: are you going to do and how are you going 673 00:37:46,120 --> 00:37:49,320 Speaker 1: to protect your retirement and your savings? The Phoenix Capital 674 00:37:49,320 --> 00:37:53,120 Speaker 1: Group suggests you diversify your investments. They're introducing investors like 675 00:37:53,200 --> 00:37:55,520 Speaker 1: you to high value oil and gas investments here in 676 00:37:55,520 --> 00:37:58,800 Speaker 1: the US with current yields which range from eight percent 677 00:37:58,840 --> 00:38:03,440 Speaker 1: to eleven percent APY paid monthly. These are corporate bond offerings. 678 00:38:03,680 --> 00:38:06,480 Speaker 1: They're open to all investors with annual interest paid monthly. 679 00:38:06,640 --> 00:38:09,439 Speaker 1: The Phoenix Capital Group offers live webinars to learn about 680 00:38:09,440 --> 00:38:13,120 Speaker 1: Phoenix's business structure, ways. They offer security for the offerings, risks, 681 00:38:13,120 --> 00:38:15,640 Speaker 1: and their financials. They host live q and as well. 682 00:38:15,640 --> 00:38:18,600 Speaker 1: They'll answer all your questions. Sign up at investing with 683 00:38:18,719 --> 00:38:22,600 Speaker 1: phx dot com or call three two three Phoenix. That's 684 00:38:22,800 --> 00:38:26,000 Speaker 1: three two three Phoenix. Investing in bonds as a certain 685 00:38:26,080 --> 00:38:28,880 Speaker 1: risk before making investment decisions, you should carefully consider and 686 00:38:28,960 --> 00:38:32,640 Speaker 1: review all risks involved. Sign up today and investing with 687 00:38:32,800 --> 00:38:36,759 Speaker 1: PHX dot Com. That's investing with phx dot Com or 688 00:38:36,800 --> 00:38:41,640 Speaker 1: call three two three Phoenix to connect Sunday hang with 689 00:38:41,760 --> 00:38:44,680 Speaker 1: Clay in Box a new podcast. Find it on the 690 00:38:44,719 --> 00:38:49,680 Speaker 1: iheartapp or wherever you get your podcasts. Welcome back in 691 00:38:49,840 --> 00:38:52,000 Speaker 1: appreciate all of you hanging out with us. We roll 692 00:38:52,160 --> 00:38:56,640 Speaker 1: through the Thursday edition of the program. We were talking 693 00:38:56,880 --> 00:39:00,520 Speaker 1: with you about the craziness coming out of the NHL 694 00:39:00,840 --> 00:39:06,640 Speaker 1: over their the NHL media really and their insanity as 695 00:39:06,640 --> 00:39:10,040 Speaker 1: it pertains to a guy who decided not to wear 696 00:39:10,120 --> 00:39:12,799 Speaker 1: a Pride jersey. Encourage you to go check that out. 697 00:39:12,800 --> 00:39:15,399 Speaker 1: Download the podcast. You can hear all of our conversations 698 00:39:15,400 --> 00:39:18,440 Speaker 1: every single day. Search out play Travis, search out box Sexton. 699 00:39:18,560 --> 00:39:23,280 Speaker 1: Lots of original non airing on the radio content coming 700 00:39:23,320 --> 00:39:26,359 Speaker 1: to the podcast feed. You're gonna love it. We join 701 00:39:26,520 --> 00:39:31,640 Speaker 1: now by our buddy Alex Berenson for the latest on 702 00:39:31,719 --> 00:39:36,680 Speaker 1: the COVID shot data and Alex yesterday on your sub stack, 703 00:39:37,760 --> 00:39:41,880 Speaker 1: very alarming data that is coming out. We've moved from 704 00:39:41,920 --> 00:39:46,880 Speaker 1: I think everybody basically acknowledges, generally speaking, that the COVID 705 00:39:46,920 --> 00:39:50,280 Speaker 1: shot does not do anywhere near what it was promised 706 00:39:50,280 --> 00:39:55,680 Speaker 1: to do, and at best has some small prophylactic value 707 00:39:55,719 --> 00:39:58,520 Speaker 1: for a relatively short period of time, three or four 708 00:39:58,600 --> 00:40:01,799 Speaker 1: months after a shot is GI and then now it's 709 00:40:01,880 --> 00:40:05,720 Speaker 1: moving from it doesn't do very much the story Alex 710 00:40:06,040 --> 00:40:09,920 Speaker 1: to there may be actual harm done by these shots. 711 00:40:10,000 --> 00:40:12,279 Speaker 1: What can you tell us about the latest data? Is 712 00:40:12,320 --> 00:40:15,880 Speaker 1: that an accurate trajectory of how you would assess the 713 00:40:16,040 --> 00:40:19,399 Speaker 1: narrative surrounding these shots. Well, I mean I would say 714 00:40:19,440 --> 00:40:22,680 Speaker 1: that the people who defended them would still insist that 715 00:40:22,719 --> 00:40:26,319 Speaker 1: they that they reduce severe disease and death. I mean, 716 00:40:26,360 --> 00:40:29,120 Speaker 1: that's the claim that that that no, they don't stop 717 00:40:29,160 --> 00:40:32,279 Speaker 1: in faction. No they don't stop transmission. Yeah, you might 718 00:40:32,320 --> 00:40:34,960 Speaker 1: even be at somewhat higher risk or being infected if 719 00:40:34,960 --> 00:40:36,840 Speaker 1: you've gotten a bunch of boosters in the in the 720 00:40:36,880 --> 00:40:40,239 Speaker 1: omicron era. But they do stop severe disease and death, 721 00:40:40,360 --> 00:40:42,240 Speaker 1: and you know, and to and to make that case, 722 00:40:42,280 --> 00:40:46,120 Speaker 1: they rely on a bunch of data that um, that's 723 00:40:46,480 --> 00:40:49,279 Speaker 1: that that that I could go through and sort of 724 00:40:49,280 --> 00:40:53,160 Speaker 1: explain why it's problematic. But but that would take the 725 00:40:53,160 --> 00:40:56,719 Speaker 1: whole segment. So instead, let me let me talk about 726 00:40:57,160 --> 00:40:59,920 Speaker 1: why I'm more concerned right now than I you know, 727 00:41:00,000 --> 00:41:02,360 Speaker 1: and I think I talking to you now for almost 728 00:41:02,400 --> 00:41:04,799 Speaker 1: two years. Do you hear when I think things are 729 00:41:04,840 --> 00:41:07,040 Speaker 1: you know, getting better? You hear when I think things 730 00:41:07,080 --> 00:41:09,480 Speaker 1: are getting worse. I certainly a few months ago thought 731 00:41:09,880 --> 00:41:12,279 Speaker 1: I really thought we were we were probably coming out 732 00:41:12,280 --> 00:41:16,360 Speaker 1: of this and h And now I'm much more concerned 733 00:41:16,360 --> 00:41:19,680 Speaker 1: than I was. And the reason is it's twofold. It's 734 00:41:20,480 --> 00:41:23,880 Speaker 1: when you look at some of the all cosmotality in others. 735 00:41:24,120 --> 00:41:27,160 Speaker 1: The one number that truly can't be faked is how 736 00:41:27,160 --> 00:41:29,400 Speaker 1: many people are dying. Right if you're in the United 737 00:41:29,480 --> 00:41:32,120 Speaker 1: States or you're in Europe, you're really almost anywhere in 738 00:41:32,120 --> 00:41:34,920 Speaker 1: the world with a with a functioning government, they count 739 00:41:34,920 --> 00:41:39,480 Speaker 1: births and they count death okay, and those numbers, you know, 740 00:41:39,520 --> 00:41:41,839 Speaker 1: some places report them more quickly and others the US 741 00:41:41,880 --> 00:41:44,400 Speaker 1: actually doesn't do that good a job of reporting quickly. 742 00:41:44,920 --> 00:41:48,680 Speaker 1: But in places that for most of last year, in 743 00:41:48,719 --> 00:41:52,200 Speaker 1: places that used the advanced vaccines, especially the mr Anda 744 00:41:52,280 --> 00:41:56,360 Speaker 1: vaccines which are the fires are in Materna vaccines, excess 745 00:41:56,400 --> 00:42:00,200 Speaker 1: deaths have been running hot okay, non COVID mostly, And 746 00:42:00,280 --> 00:42:03,320 Speaker 1: that's not what anybody expected when this whole thing began. 747 00:42:03,400 --> 00:42:05,239 Speaker 1: They thought, Hey, there's going to be a bunch of 748 00:42:05,280 --> 00:42:07,120 Speaker 1: old six people who die from COVID. And then for 749 00:42:07,160 --> 00:42:08,880 Speaker 1: a couple of years, we're probably going to actually pretty 750 00:42:08,960 --> 00:42:12,279 Speaker 1: low deaths because the people who died from COVID were 751 00:42:12,440 --> 00:42:15,359 Speaker 1: very sick and likely to die in the next six 752 00:42:15,400 --> 00:42:18,399 Speaker 1: months to two years anyway. And that's not what's happened. 753 00:42:18,440 --> 00:42:20,120 Speaker 1: We've had a lot of extra deaths, and in the 754 00:42:20,200 --> 00:42:24,080 Speaker 1: last couple of weeks actually the numbers have gone way 755 00:42:24,200 --> 00:42:26,520 Speaker 1: up again, to the point in Europe where they're as 756 00:42:26,560 --> 00:42:29,560 Speaker 1: bad as they were really at any time in the 757 00:42:29,600 --> 00:42:34,440 Speaker 1: COVID era. And remember when Italy, when a few countries 758 00:42:34,480 --> 00:42:38,000 Speaker 1: in Europe had bad excess deaths in March twenty twenty, 759 00:42:38,040 --> 00:42:40,560 Speaker 1: we shut the world down. It was a really big deal. 760 00:42:41,000 --> 00:42:43,359 Speaker 1: And now this is just sort of happening and we're 761 00:42:43,760 --> 00:42:46,240 Speaker 1: basically the media is ignoring it. Okay, but the numbers 762 00:42:46,280 --> 00:42:48,560 Speaker 1: are real. You can find them yourself if you know 763 00:42:48,560 --> 00:42:51,839 Speaker 1: where to look. They're publicly reported, and they're bad, and 764 00:42:51,960 --> 00:42:54,560 Speaker 1: no one has a good explanation for that. Well, Alex, 765 00:42:54,560 --> 00:42:56,640 Speaker 1: that's the next thing I want to ask you is 766 00:42:57,080 --> 00:42:59,400 Speaker 1: do do you have a theory or a set of 767 00:42:59,480 --> 00:43:02,359 Speaker 1: theories as to what is going on that's producing this 768 00:43:03,000 --> 00:43:07,520 Speaker 1: very obviously troubling data. Yeah, So so okay, I mean, 769 00:43:07,560 --> 00:43:10,239 Speaker 1: so you can say, well, this is delayed medical care. 770 00:43:10,360 --> 00:43:12,920 Speaker 1: But that doesn't make any sense at this point. You know, 771 00:43:12,960 --> 00:43:15,600 Speaker 1: we're sort of two years out from the lockdowns, like that, 772 00:43:15,840 --> 00:43:17,840 Speaker 1: why now, why would this be happening now? Or you 773 00:43:17,880 --> 00:43:20,080 Speaker 1: can say, well, this is long COVID, except when you 774 00:43:20,080 --> 00:43:22,480 Speaker 1: actually try to find a mechanism that makes any sense 775 00:43:22,520 --> 00:43:25,880 Speaker 1: for long COVID, you can't find one. And there's data showing, 776 00:43:25,920 --> 00:43:28,040 Speaker 1: for example, that when you have mild COVID, very big 777 00:43:28,080 --> 00:43:30,120 Speaker 1: study that came out a few weeks ago out of Israel. 778 00:43:30,400 --> 00:43:32,280 Speaker 1: They looked at a lot of people who'd had mild 779 00:43:32,320 --> 00:43:34,359 Speaker 1: COVID and compared them to a lot of people who 780 00:43:34,360 --> 00:43:37,520 Speaker 1: didn't and guess what, in the next year, the people 781 00:43:37,520 --> 00:43:40,000 Speaker 1: who had COVID but not a severe case and the 782 00:43:40,000 --> 00:43:43,000 Speaker 1: people who didn't have COVID had basically exactly the same 783 00:43:43,080 --> 00:43:46,880 Speaker 1: number of possiblizations over the next twelve months. Okay, so, 784 00:43:46,719 --> 00:43:49,680 Speaker 1: so long COVID. I mean, it does not really make 785 00:43:49,719 --> 00:43:52,320 Speaker 1: sense to me as an explanation. So what do we know. 786 00:43:52,080 --> 00:43:55,080 Speaker 1: We know that we vaccinated an enormous number of people 787 00:43:55,160 --> 00:43:57,760 Speaker 1: with these vaccines that we didn't have long term safety 788 00:43:57,840 --> 00:44:00,160 Speaker 1: data on. And now we get to the second part 789 00:44:00,160 --> 00:44:02,880 Speaker 1: of this, why this is concerning. We are now finding 790 00:44:02,880 --> 00:44:07,400 Speaker 1: out that these vaccines seem to cause immune system changes 791 00:44:07,600 --> 00:44:10,160 Speaker 1: that were not predicted, that we didn't expect. And there's 792 00:44:10,160 --> 00:44:12,600 Speaker 1: two very good papers, both of which came out of 793 00:44:12,600 --> 00:44:16,279 Speaker 1: Germany in the last month, showing that after you get 794 00:44:16,320 --> 00:44:20,920 Speaker 1: the mr anda is your immune system essentially stopped really 795 00:44:20,960 --> 00:44:28,120 Speaker 1: trying to fight part of the covid uh, part of 796 00:44:28,120 --> 00:44:33,520 Speaker 1: the coronavirus. Okay, I'm simplifying and exaggerating, but you make 797 00:44:33,600 --> 00:44:37,440 Speaker 1: antibodies to the coronavirus, and over time you start to 798 00:44:37,440 --> 00:44:39,920 Speaker 1: make more and more of a kind of antibody that 799 00:44:40,200 --> 00:44:43,960 Speaker 1: isn't very good at fighting the coronavirus. And the theory is, 800 00:44:44,000 --> 00:44:46,919 Speaker 1: although I don't think we know why yet for sure, 801 00:44:47,520 --> 00:44:51,040 Speaker 1: the theory is because the vaccines are so good at 802 00:44:51,080 --> 00:44:54,799 Speaker 1: getting your immune system redded up early on, it eventually 803 00:44:54,880 --> 00:44:57,960 Speaker 1: has to downregulate. It's like it's like it's like if 804 00:44:57,960 --> 00:45:00,920 Speaker 1: you flood the engine, you know eventually you're going to 805 00:45:01,000 --> 00:45:03,399 Speaker 1: burn it out, and so you have to lay off. 806 00:45:03,520 --> 00:45:07,640 Speaker 1: And that seems to be a problem that was not anticipated, 807 00:45:07,680 --> 00:45:09,880 Speaker 1: at least not by the company. And then there's this 808 00:45:09,960 --> 00:45:11,360 Speaker 1: paper and this is why you know, that's why you 809 00:45:11,360 --> 00:45:13,279 Speaker 1: guys asked me on today a paper that came out 810 00:45:13,280 --> 00:45:18,359 Speaker 1: of China just a few weeks ago showing that when 811 00:45:18,400 --> 00:45:23,000 Speaker 1: people had went to people when they gave mice repeated 812 00:45:23,080 --> 00:45:27,799 Speaker 1: injections of a version of a COVID vaccine after the 813 00:45:27,840 --> 00:45:32,160 Speaker 1: fourth shot, but in the fifth and six shots, essentially 814 00:45:32,200 --> 00:45:35,319 Speaker 1: their immune systems collapsed against COVID. Now, people are gonna 815 00:45:35,320 --> 00:45:38,120 Speaker 1: say it's mice, it's true. They're gonna say this is 816 00:45:38,160 --> 00:45:40,799 Speaker 1: not the COVID vaccine we get in the United States, 817 00:45:40,840 --> 00:45:43,759 Speaker 1: it's not the mRNA. That's true. They're gonna say it's 818 00:45:43,760 --> 00:45:46,879 Speaker 1: a fifth shot and a sixth shot. That's true. So 819 00:45:47,040 --> 00:45:49,640 Speaker 1: I'm not saying that this proves that this is happening 820 00:45:49,680 --> 00:45:52,040 Speaker 1: in the United States. What I'm saying is, against this 821 00:45:52,200 --> 00:45:57,040 Speaker 1: backdrop of this big problem with excess mortality and the 822 00:45:57,080 --> 00:46:00,400 Speaker 1: fact that COVID hasn't gone away, we're getting more and 823 00:46:00,480 --> 00:46:03,399 Speaker 1: more evidence that these vaccines on a cellular level are 824 00:46:03,440 --> 00:46:06,440 Speaker 1: doing stuff that we didn't expect and that we probably 825 00:46:06,440 --> 00:46:09,560 Speaker 1: don't want. How scared would you be if you'd gotten 826 00:46:09,600 --> 00:46:12,960 Speaker 1: five or six COVID shots? Oh, I mean, if I've 827 00:46:12,960 --> 00:46:15,799 Speaker 1: gotten five or six, I'd I'd be nervous. At this point, 828 00:46:16,000 --> 00:46:18,080 Speaker 1: I don't think that's a good idea. I think the 829 00:46:18,080 --> 00:46:21,560 Speaker 1: booster campaign should essentially be halted at this point because, 830 00:46:21,800 --> 00:46:25,120 Speaker 1: and here's the thing, there's no upside. Okay, at best, 831 00:46:25,160 --> 00:46:28,080 Speaker 1: you're getting some extra antibodies that last a matter of 832 00:46:28,120 --> 00:46:31,439 Speaker 1: weeks and don't work very well against omicrons. So why 833 00:46:31,480 --> 00:46:34,920 Speaker 1: are we doing this to ourselves? The core that we 834 00:46:35,040 --> 00:46:38,040 Speaker 1: don't want to have happen is we know the antibody's 835 00:46:38,200 --> 00:46:40,520 Speaker 1: switch is happening. Okay, we know this, and we know 836 00:46:40,600 --> 00:46:43,239 Speaker 1: also that the anybody's that the vaccines boods don't work 837 00:46:43,280 --> 00:46:46,160 Speaker 1: that way later omicron, you still have T cells, Okay, 838 00:46:46,239 --> 00:46:50,439 Speaker 1: you still have this back line of defense that if 839 00:46:50,480 --> 00:46:53,480 Speaker 1: your cells get infected, the T cells go and attack 840 00:46:53,600 --> 00:46:59,560 Speaker 1: those cells and prevent the virus from replicating out of control. Okay, 841 00:46:59,760 --> 00:47:02,680 Speaker 1: you have to have key cells, right, And what we 842 00:47:02,719 --> 00:47:04,880 Speaker 1: don't want to do is follow a course of action 843 00:47:04,960 --> 00:47:08,040 Speaker 1: that causes those to burn out. And that should be 844 00:47:08,480 --> 00:47:11,640 Speaker 1: where the focus of the public health and the vaccine coming. 845 00:47:12,000 --> 00:47:14,759 Speaker 1: We should be talking about this openly and figuring out 846 00:47:14,800 --> 00:47:16,960 Speaker 1: if that's a list right now. I don't think that's 847 00:47:17,000 --> 00:47:19,719 Speaker 1: too much an ask for Alex. And we're speaking to 848 00:47:19,760 --> 00:47:22,960 Speaker 1: Alex Barrenson. You can all subscribe to his sub stack. 849 00:47:23,680 --> 00:47:30,040 Speaker 1: Alex Is there is there any historical precedent for this 850 00:47:30,200 --> 00:47:34,719 Speaker 1: kind of of taking a shot again and again and 851 00:47:34,800 --> 00:47:40,399 Speaker 1: again to create an immune system boost like this that 852 00:47:40,440 --> 00:47:43,000 Speaker 1: has ended up working out very well with a high 853 00:47:43,080 --> 00:47:47,239 Speaker 1: level of efficacy. I mean, is this totally uncharted territory? 854 00:47:47,560 --> 00:47:49,480 Speaker 1: Totally totally uncharted. I mean, you can compare it to 855 00:47:49,520 --> 00:47:52,360 Speaker 1: the flu vaccine, and that's not really a great comparison 856 00:47:52,400 --> 00:47:54,359 Speaker 1: for the people who want to do this, right, I mean, 857 00:47:54,640 --> 00:47:58,000 Speaker 1: people people have been pressed to get the flu vaccine aggressively. 858 00:47:58,040 --> 00:47:59,759 Speaker 1: For the last twenty years. We give out a lot 859 00:47:59,800 --> 00:48:01,600 Speaker 1: more flu shots than we used to. I shouldn't even 860 00:48:01,600 --> 00:48:03,600 Speaker 1: call a vaccine. Really, they don't even call a vaccine. 861 00:48:04,040 --> 00:48:06,520 Speaker 1: It doesn't work very well, and the number of flu 862 00:48:06,680 --> 00:48:09,880 Speaker 1: disks in the last thirty or forty years has actually 863 00:48:09,920 --> 00:48:15,200 Speaker 1: increased dramatically. So the flu vaccine doesn't work very well. Okay, 864 00:48:15,360 --> 00:48:18,960 Speaker 1: but at least we know how the flu vaccine works. Okay, 865 00:48:19,000 --> 00:48:23,000 Speaker 1: it's a pretty straightforward vaccine. The covid vaccine we're now 866 00:48:23,080 --> 00:48:27,239 Speaker 1: learning doesn't work very well either, except it has all 867 00:48:27,320 --> 00:48:31,400 Speaker 1: these other issues that we didn't anticipate and it works 868 00:48:31,440 --> 00:48:33,960 Speaker 1: in a completely different way than the flu vaccine. So no, 869 00:48:34,080 --> 00:48:36,600 Speaker 1: there is no precedent for what we've done in the 870 00:48:36,640 --> 00:48:39,560 Speaker 1: last two years. Alex. What's scary about this is the 871 00:48:40,080 --> 00:48:43,880 Speaker 1: I would say risk profile of the COVID shots continue 872 00:48:43,920 --> 00:48:49,680 Speaker 1: to get worse, and the risk reward obviously continues to 873 00:48:49,719 --> 00:48:53,960 Speaker 1: get worse. How much worse can it get? And as 874 00:48:54,000 --> 00:48:58,839 Speaker 1: a tie in with that, is there good data on 875 00:48:58,880 --> 00:49:02,319 Speaker 1: all cause mortality from countries that did not give a 876 00:49:02,400 --> 00:49:04,799 Speaker 1: lot of COVID shots. Those tend I would imagine to 877 00:49:04,840 --> 00:49:08,120 Speaker 1: be more Third world countries and in generality and maybe 878 00:49:08,160 --> 00:49:11,439 Speaker 1: their data is not as reliable. But in let's say, 879 00:49:11,520 --> 00:49:14,560 Speaker 1: poor African countries, does there seem to be also a 880 00:49:14,640 --> 00:49:17,799 Speaker 1: higher rate of death in those countries like we would 881 00:49:17,800 --> 00:49:22,200 Speaker 1: see in England or Israel or the United States? Great, 882 00:49:22,280 --> 00:49:24,719 Speaker 1: great question, And I've been trying to find that data 883 00:49:24,760 --> 00:49:26,400 Speaker 1: and I have not been able to find it for 884 00:49:26,440 --> 00:49:29,239 Speaker 1: exactly the reason you say these are they're poor countries 885 00:49:30,080 --> 00:49:32,400 Speaker 1: and they report this stuff slow when they report it 886 00:49:32,440 --> 00:49:35,000 Speaker 1: at all. That China would actually be a really good 887 00:49:35,480 --> 00:49:37,600 Speaker 1: um place to it, because China, you know, has a 888 00:49:37,600 --> 00:49:42,000 Speaker 1: pretty modern economy anyway, and and probably collect stuff. But 889 00:49:42,080 --> 00:49:44,600 Speaker 1: as we know, we can't really trust the Chinese data 890 00:49:44,880 --> 00:49:47,680 Speaker 1: on a national level that much. So there is some 891 00:49:47,920 --> 00:49:51,560 Speaker 1: I will say Eastern Europe, there are some countries that 892 00:49:51,680 --> 00:49:56,440 Speaker 1: are reporting relatively low death in the last you know, 893 00:49:56,640 --> 00:49:59,560 Speaker 1: the last or nine months or so, a country like Bulgaria, 894 00:49:59,600 --> 00:50:02,600 Speaker 1: so those has bad COVID waves worse than Western Europe 895 00:50:02,640 --> 00:50:04,839 Speaker 1: to be, to be frank with you, they didn't use 896 00:50:04,840 --> 00:50:08,239 Speaker 1: a lot of the mr Anda vaccines but seems less 897 00:50:08,239 --> 00:50:10,719 Speaker 1: so that so that is, that's the one place I 898 00:50:10,719 --> 00:50:12,600 Speaker 1: can point to and say, this is sort of what 899 00:50:12,640 --> 00:50:14,840 Speaker 1: I would expect to see if it's the vaccines that 900 00:50:14,880 --> 00:50:16,680 Speaker 1: are causing the problem. But if you're asking in a 901 00:50:16,680 --> 00:50:19,640 Speaker 1: worldwide basis, I've been trying to find that data and 902 00:50:19,680 --> 00:50:21,920 Speaker 1: I have not been able to find it yet. Alice, 903 00:50:21,960 --> 00:50:28,280 Speaker 1: when you see people sharing stories news stories about young 904 00:50:28,520 --> 00:50:31,920 Speaker 1: athletic individuals, some professional athletes, some are high school athletes, 905 00:50:31,960 --> 00:50:36,000 Speaker 1: whatever the case may be, at heart trouble, how much 906 00:50:36,040 --> 00:50:39,200 Speaker 1: of this do you think is in any way tied 907 00:50:39,239 --> 00:50:42,399 Speaker 1: to the vaccine based on the data right now versus now, 908 00:50:42,440 --> 00:50:45,839 Speaker 1: everyone every time they see somebody who's younger, who's an 909 00:50:45,880 --> 00:50:48,719 Speaker 1: athlete and has any heard issue, there is this there's 910 00:50:48,719 --> 00:50:52,680 Speaker 1: a jump to conclusion that happens. I think it's a 911 00:50:52,680 --> 00:50:54,399 Speaker 1: lot of the latter. I mean, I think we just 912 00:50:54,520 --> 00:50:57,960 Speaker 1: don't know in any individual case. I mean, you can look, 913 00:50:58,200 --> 00:51:01,319 Speaker 1: there are certain cases very rare, and I don't think 914 00:51:01,360 --> 00:51:03,040 Speaker 1: that you know, we're not talking about tomor Hamlet here. 915 00:51:03,040 --> 00:51:05,960 Speaker 1: We're talking about, you know, like a handful of cases 916 00:51:05,960 --> 00:51:09,520 Speaker 1: where people have gotten vaccine, they've gone to the you know, 917 00:51:09,960 --> 00:51:13,719 Speaker 1: er with myocarditis, they've died. Autopsies have been done and 918 00:51:13,760 --> 00:51:17,040 Speaker 1: they showed that that myocarditis was conclusively linked to the 919 00:51:17,120 --> 00:51:19,920 Speaker 1: vaccine the based on sort of like the profile of 920 00:51:19,960 --> 00:51:23,239 Speaker 1: the inflammatory response and other things. But that is not 921 00:51:23,320 --> 00:51:26,880 Speaker 1: what's happening in the big cases. And look, I've been criticized, 922 00:51:27,280 --> 00:51:29,040 Speaker 1: you know, and I know I know you have too, 923 00:51:29,360 --> 00:51:33,120 Speaker 1: for um, you know, for for occasionally pointing these cases 924 00:51:33,120 --> 00:51:36,120 Speaker 1: out and saying what happened here? But what I think 925 00:51:36,239 --> 00:51:39,520 Speaker 1: is happening the bigger question is, Look, I can find 926 00:51:39,520 --> 00:51:41,520 Speaker 1: you a story from the last couple of days showing 927 00:51:41,560 --> 00:51:44,759 Speaker 1: that hospitals in England have been overrun. Okay, I can 928 00:51:44,840 --> 00:51:47,800 Speaker 1: point you the government data release this morning from Scotland 929 00:51:48,080 --> 00:51:51,439 Speaker 1: that Scotland had more death last week than I think 930 00:51:51,440 --> 00:51:53,279 Speaker 1: in the last twenty years. You have to go back 931 00:51:53,320 --> 00:51:56,160 Speaker 1: to two thousand to find when they had more than 932 00:51:56,239 --> 00:51:59,080 Speaker 1: two thousand deaths in a week. Okay, so people are 933 00:51:59,120 --> 00:52:02,360 Speaker 1: aware broadly that the vaccines didn't work as promised, and 934 00:52:02,360 --> 00:52:04,920 Speaker 1: they're starting to be aware that there's something going on 935 00:52:05,000 --> 00:52:08,720 Speaker 1: with excess death and I needed the refusal of government 936 00:52:08,760 --> 00:52:11,799 Speaker 1: health authorities to deal with this in an honest way. 937 00:52:12,080 --> 00:52:16,160 Speaker 1: That's causing the conspiracy theories. All right, Let's pretend last 938 00:52:16,200 --> 00:52:18,880 Speaker 1: question for you, Alex. Let's pretend President Ron De Santis 939 00:52:18,960 --> 00:52:21,160 Speaker 1: was in office right now and he was willing to 940 00:52:21,160 --> 00:52:23,880 Speaker 1: look at this data as he has been in Florida. 941 00:52:24,080 --> 00:52:27,480 Speaker 1: What should the government do? Let's pretend Joe Biden suddenly 942 00:52:27,800 --> 00:52:31,600 Speaker 1: got Jesus and brought you in and said, hey, you're right, 943 00:52:31,840 --> 00:52:35,320 Speaker 1: COVID is a disaster. These shots. What should the government 944 00:52:35,320 --> 00:52:38,719 Speaker 1: do in an ideal world right now? Right now? We 945 00:52:38,840 --> 00:52:41,480 Speaker 1: got to find out the impact of this IgG for 946 00:52:41,600 --> 00:52:44,880 Speaker 1: a class switch, this antibody class switch. We need to 947 00:52:44,920 --> 00:52:47,200 Speaker 1: figure out, you know who this is happening to the 948 00:52:47,239 --> 00:52:50,200 Speaker 1: most and sort of try to look perspectively at whether 949 00:52:50,280 --> 00:52:52,839 Speaker 1: or not they're getting sicker. We need to look at 950 00:52:52,840 --> 00:52:56,760 Speaker 1: the various causes of all cause mortality. You know what's 951 00:52:56,840 --> 00:52:59,800 Speaker 1: driving the extra mortality in the US and elsewhere, and 952 00:53:00,000 --> 00:53:02,200 Speaker 1: I to find out, you know, are people who got 953 00:53:02,320 --> 00:53:05,120 Speaker 1: four shots more likely to be in this group. There's 954 00:53:05,160 --> 00:53:08,960 Speaker 1: a lot of really complicated epidemiology and there's complicated basic 955 00:53:09,040 --> 00:53:12,359 Speaker 1: cellular work that needs to happen. But there we can 956 00:53:12,480 --> 00:53:14,480 Speaker 1: get some answers to this. And in the meantime, what 957 00:53:14,520 --> 00:53:16,920 Speaker 1: I would say is, you know, if Rondes Saylors are 958 00:53:16,960 --> 00:53:19,360 Speaker 1: in charge, I bet you we'd be suspending the booster campaigns. 959 00:53:19,440 --> 00:53:22,160 Speaker 1: And that would be a good thing right now, because again, 960 00:53:22,640 --> 00:53:25,839 Speaker 1: you know what Bucks said, There's there's no good, there's 961 00:53:25,880 --> 00:53:28,200 Speaker 1: no reward here, there's only risk of doing this at 962 00:53:28,239 --> 00:53:32,040 Speaker 1: this point. Thank you, Alex. We're going to keep updated, 963 00:53:32,239 --> 00:53:34,600 Speaker 1: tell people to check out the sub stack as always, 964 00:53:34,600 --> 00:53:37,320 Speaker 1: and we appreciate your time. Thanks for having me. Guys, 965 00:53:37,680 --> 00:53:40,560 Speaker 1: it's Alex Berenson and that is alarming. We'll discuss break 966 00:53:40,560 --> 00:53:42,040 Speaker 1: it down a little bit more for you. In the meantime. 967 00:53:42,120 --> 00:53:45,960 Speaker 1: Hillsdale College bringing their teaching to you. They're offering dozens 968 00:53:45,960 --> 00:53:49,520 Speaker 1: of free online video courses that make learning fun. You 969 00:53:49,560 --> 00:53:52,200 Speaker 1: can watch one or more on a topic that fascinates you. 970 00:53:52,239 --> 00:53:54,520 Speaker 1: For example, do you know Hillsdale has a lot of 971 00:53:54,520 --> 00:53:58,239 Speaker 1: admiration for the Constitution. That's pretty important, and they have 972 00:53:58,280 --> 00:54:01,200 Speaker 1: Constitution one O one. It's one of the most popular courses. 973 00:54:01,400 --> 00:54:04,279 Speaker 1: You can check it out learn more, no quizzes, no tests, 974 00:54:04,400 --> 00:54:07,960 Speaker 1: just your own love of learning. 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Clay, Travis and Buck Sexton 984 00:54:41,800 --> 00:54:44,520 Speaker 1: chuck up a win for Team Reality