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 --> 00:00:10,920 Speaker 1: Sexton Show podcast. Welcome in the final show before Christmas. 3 00:00:10,960 --> 00:00:15,600 Speaker 1: It is Christmas eve Eve, and I know there are 4 00:00:15,600 --> 00:00:18,200 Speaker 1: a lot of you listening right now who are dealing 5 00:00:18,280 --> 00:00:23,120 Speaker 1: with major travel concerns, dealing with an arctic freeze that 6 00:00:23,160 --> 00:00:26,960 Speaker 1: has descended across much of the country. Is going to 7 00:00:27,000 --> 00:00:31,240 Speaker 1: be a white Christmas if you can get there. Good 8 00:00:31,360 --> 00:00:35,879 Speaker 1: luck with that, and be safe out there on the 9 00:00:36,000 --> 00:00:40,400 Speaker 1: roads and airwaves of this country and this world as 10 00:00:40,440 --> 00:00:46,440 Speaker 1: we are in the midst of absolute Christmas travel madness. Yesterday, 11 00:00:46,840 --> 00:00:53,040 Speaker 1: nine thousand flights reportedly canceled, and today as the East 12 00:00:53,080 --> 00:01:00,520 Speaker 1: Coast comes under assault basically from this wintry mix of 13 00:01:00,920 --> 00:01:06,240 Speaker 1: all sorts of devilish weather. I woke up this morning 14 00:01:06,440 --> 00:01:11,160 Speaker 1: in Nashville, Tennessee, my hometown, and I looked over at 15 00:01:11,200 --> 00:01:15,240 Speaker 1: my phone and it was minus two. It's the coldest 16 00:01:15,240 --> 00:01:19,520 Speaker 1: that has been in Nashville, for example, in twenty six years. 17 00:01:20,360 --> 00:01:25,680 Speaker 1: Below zero in Nashville unheard of, virtually, And I know 18 00:01:25,760 --> 00:01:28,080 Speaker 1: that is the case for many of you all over 19 00:01:28,120 --> 00:01:29,440 Speaker 1: the country. In fact, I know there are a lot 20 00:01:29,480 --> 00:01:32,080 Speaker 1: of you laughing. You're like, ah, ha ha, min's two. 21 00:01:32,120 --> 00:01:37,000 Speaker 1: It's minus twenty here pal minus thirty, some places minus forty. 22 00:01:37,040 --> 00:01:40,640 Speaker 1: The wind chills are unbelievable. So I hope that you 23 00:01:40,720 --> 00:01:43,680 Speaker 1: and yours are going to be able to get where 24 00:01:43,760 --> 00:01:46,160 Speaker 1: you need to be for this holiday season, and that 25 00:01:46,200 --> 00:01:48,760 Speaker 1: you're going to be spending Christmas with many people that 26 00:01:48,920 --> 00:01:51,200 Speaker 1: you love, and that you are going to have a 27 00:01:51,200 --> 00:01:55,120 Speaker 1: fantastic time together. This is the final show for either 28 00:01:55,240 --> 00:01:58,320 Speaker 1: Buck or myself of the year. We will have guest 29 00:01:58,360 --> 00:02:02,840 Speaker 1: host next week. Todd Herman and Jason Lewis will be 30 00:02:02,920 --> 00:02:07,280 Speaker 1: in with you next week taking you through the new year, 31 00:02:07,600 --> 00:02:09,480 Speaker 1: and then Buck and I will be back for the 32 00:02:09,560 --> 00:02:12,440 Speaker 1: start of the year. Just to give you a heads up, 33 00:02:12,480 --> 00:02:16,040 Speaker 1: you will have fresh, new original programming next week and 34 00:02:16,200 --> 00:02:19,960 Speaker 1: you can continue to follow the show for sure at 35 00:02:20,080 --> 00:02:23,000 Speaker 1: Clay and Buck on Twitter. And since this is the 36 00:02:23,040 --> 00:02:25,520 Speaker 1: final show of the year, we've got a lot of 37 00:02:25,560 --> 00:02:28,239 Speaker 1: different stories that I wanted to hit, we should mention 38 00:02:28,360 --> 00:02:33,840 Speaker 1: right off the top. We finished yesterday's show reporting that 39 00:02:34,280 --> 00:02:38,600 Speaker 1: the one point seven trillion dollars omnibus bill had passed 40 00:02:38,680 --> 00:02:41,520 Speaker 1: the Senate, and I read you the list of the 41 00:02:41,600 --> 00:02:46,720 Speaker 1: eighteen turncoat Republican senators who ended up supporting this bill, 42 00:02:46,840 --> 00:02:50,639 Speaker 1: which to me is frankly indefensible. Why do we even 43 00:02:50,639 --> 00:02:54,960 Speaker 1: have an opposition party if the goal is to essentially 44 00:02:55,040 --> 00:02:59,600 Speaker 1: turn into default Democrats and spend money like drunken sailors, 45 00:02:59,600 --> 00:03:02,520 Speaker 1: which is exactly what happened. And now the House of 46 00:03:02,600 --> 00:03:07,079 Speaker 1: Representatives is debating this bill as well. They probably are 47 00:03:07,160 --> 00:03:10,760 Speaker 1: going to pass it in the near future, potentially while 48 00:03:10,840 --> 00:03:13,680 Speaker 1: we are live on the air today, and as a 49 00:03:13,760 --> 00:03:16,760 Speaker 1: Christmas gift to all of you, we are going to 50 00:03:16,800 --> 00:03:21,720 Speaker 1: add trillions of dollars to your kids, your grandkids future 51 00:03:22,240 --> 00:03:26,160 Speaker 1: debt in this country. Remember when the Tea Party started 52 00:03:26,200 --> 00:03:33,280 Speaker 1: to complain about massive, outrageous expenses in this country, the 53 00:03:33,440 --> 00:03:38,200 Speaker 1: debt was ten trillion dollars if I remember correctly, back 54 00:03:38,200 --> 00:03:42,120 Speaker 1: in around two ten. Now we are sitting here twelve 55 00:03:42,200 --> 00:03:45,800 Speaker 1: years later and our national debt is poised to go 56 00:03:45,960 --> 00:03:51,560 Speaker 1: over thirty two trillion dollars. So in the space of 57 00:03:51,600 --> 00:03:55,560 Speaker 1: the last twelve years, we have added over a trillion 58 00:03:55,600 --> 00:04:00,800 Speaker 1: dollars a year to our national debt. Where does this 59 00:04:00,880 --> 00:04:06,400 Speaker 1: all end? I do think that there is going to 60 00:04:06,440 --> 00:04:11,200 Speaker 1: be a rational reexamination of many of the choices that 61 00:04:11,240 --> 00:04:15,120 Speaker 1: are being made in this country. But if you are 62 00:04:15,160 --> 00:04:18,200 Speaker 1: out there right now, and you are doing your best 63 00:04:18,360 --> 00:04:22,000 Speaker 1: to keep your head above water through this holiday season, 64 00:04:22,560 --> 00:04:25,600 Speaker 1: to make your budget the best way that you can 65 00:04:26,240 --> 00:04:31,880 Speaker 1: as a part of running your family. You could never 66 00:04:31,960 --> 00:04:36,479 Speaker 1: spend money like our federal government spends money. You just 67 00:04:36,520 --> 00:04:42,400 Speaker 1: couldn't do it. Credit cards would cut you off. We 68 00:04:42,440 --> 00:04:47,599 Speaker 1: are drunk on spending money in this country, and we 69 00:04:47,720 --> 00:04:51,039 Speaker 1: just keep getting drunker. And it's as if nobody can say, 70 00:04:51,560 --> 00:04:55,880 Speaker 1: wait a minute, what's going on here? And you would 71 00:04:55,920 --> 00:04:59,799 Speaker 1: think with the economic consequences that we are now dealing 72 00:05:00,360 --> 00:05:06,320 Speaker 1: associated with that expenditure, that there would be some rationality 73 00:05:06,360 --> 00:05:09,960 Speaker 1: setting in, But I just don't see it. There's almost 74 00:05:09,960 --> 00:05:13,240 Speaker 1: no Republican out there right now fighting as hard as 75 00:05:13,240 --> 00:05:17,479 Speaker 1: he or she can to stop this outrageous spending train. 76 00:05:18,800 --> 00:05:22,520 Speaker 1: And the consequences are real. I mean, in the space 77 00:05:22,560 --> 00:05:27,560 Speaker 1: of a year, we've gone from around three percent mortgage 78 00:05:27,640 --> 00:05:31,240 Speaker 1: rates to seven percent mortgage rates. It's an unheard of 79 00:05:31,839 --> 00:05:37,280 Speaker 1: rapid acceleration. We have gone from around one percent two 80 00:05:37,320 --> 00:05:40,880 Speaker 1: percent inflation when Donald Trump left office to all the 81 00:05:40,920 --> 00:05:43,560 Speaker 1: way up to double digit inflation. And people are happy 82 00:05:43,640 --> 00:05:49,520 Speaker 1: now because inflation is in the sevens, forty year high inflation. 83 00:05:51,080 --> 00:05:53,400 Speaker 1: We got lots of people, and I wanted to be 84 00:05:53,400 --> 00:05:55,120 Speaker 1: happy today, but I gotta tell you, we got lots 85 00:05:55,120 --> 00:05:58,320 Speaker 1: of people who just decided to leave the federal workforce 86 00:05:59,120 --> 00:06:01,880 Speaker 1: when COVID happened in March of twenty twenty and have 87 00:06:01,960 --> 00:06:06,480 Speaker 1: never returned. We got millions of young kids that are 88 00:06:06,520 --> 00:06:09,680 Speaker 1: never going to finish school because they just walked right 89 00:06:09,720 --> 00:06:14,960 Speaker 1: out and stopped going to school when their government let 90 00:06:15,000 --> 00:06:19,320 Speaker 1: them down and allowed schools to shut down. I'm going 91 00:06:19,360 --> 00:06:21,640 Speaker 1: to talk with Alex Barrenson here in about fifteen minutes. 92 00:06:23,080 --> 00:06:26,839 Speaker 1: The overall death rate in this country has skyrocketed, and 93 00:06:26,839 --> 00:06:29,320 Speaker 1: it's like nobody wants to talk about it. Nothing to 94 00:06:29,360 --> 00:06:32,480 Speaker 1: do with COVID. Now, I'm not talking about COVID deaths, 95 00:06:32,520 --> 00:06:36,200 Speaker 1: although they classify everything virtually as a COVID death. I'm 96 00:06:36,200 --> 00:06:40,440 Speaker 1: talking about the fact that we are seeing tons of 97 00:06:40,600 --> 00:06:45,640 Speaker 1: otherwise healthy young people suddenly dropping dead, and that there's 98 00:06:45,680 --> 00:06:48,640 Speaker 1: now data out there to show that the COVID shot 99 00:06:48,880 --> 00:06:55,160 Speaker 1: might might be one of the reasons why we've got 100 00:06:55,320 --> 00:06:58,640 Speaker 1: very real, significant questions. And frankly, the people who are 101 00:06:58,680 --> 00:07:03,440 Speaker 1: representing us, whether they're Democrats or Republicans, are mostly not 102 00:07:03,560 --> 00:07:06,680 Speaker 1: up to the job. We don't have our best people 103 00:07:07,440 --> 00:07:10,400 Speaker 1: in politics anymore. I think we used to have a 104 00:07:10,400 --> 00:07:13,760 Speaker 1: better quality of representative. I think we've run a lot 105 00:07:13,840 --> 00:07:17,640 Speaker 1: of them off with the politics of destruction, with the 106 00:07:17,680 --> 00:07:20,000 Speaker 1: idea that if you did something twenty years ago, we're 107 00:07:20,040 --> 00:07:21,800 Speaker 1: gonna go and we're gonna dig it up and we're 108 00:07:21,800 --> 00:07:23,520 Speaker 1: going to drag it out and we're gonna make you 109 00:07:23,600 --> 00:07:25,480 Speaker 1: and your family suffer. And a lot of people who 110 00:07:25,520 --> 00:07:29,120 Speaker 1: are really successful they just say, screw it. Why would 111 00:07:29,120 --> 00:07:31,320 Speaker 1: I do that. I can make millions of dollars in 112 00:07:31,360 --> 00:07:33,920 Speaker 1: the private sector. That's why I got credit to Donald Trump. 113 00:07:35,440 --> 00:07:37,760 Speaker 1: Guy could have just ridden out the rest of his life. 114 00:07:37,880 --> 00:07:43,520 Speaker 1: Is basically a hero economics. No reason why he needed 115 00:07:43,560 --> 00:07:47,440 Speaker 1: to put himself into the middle of the political arena. 116 00:07:47,680 --> 00:07:50,000 Speaker 1: Most super rich people won't do it. So why I 117 00:07:50,040 --> 00:07:51,880 Speaker 1: give credit to Elon Musk, which I'm going to talk 118 00:07:51,880 --> 00:07:54,520 Speaker 1: about a lot during the course of today's program, because 119 00:07:54,560 --> 00:07:57,000 Speaker 1: I do find that to be the most optimistic thing 120 00:07:57,000 --> 00:07:59,600 Speaker 1: that happened in all of twenty twenty two. But as 121 00:07:59,640 --> 00:08:03,440 Speaker 1: I am talking to you, the House of Representatives is 122 00:08:03,480 --> 00:08:07,240 Speaker 1: set to spend one point seven trillion dollars. You know, 123 00:08:07,360 --> 00:08:13,240 Speaker 1: only half of your taxpayer funded representatives are actually in Washington, 124 00:08:13,320 --> 00:08:17,720 Speaker 1: DC for that vote. Because Democrats have continued to extend 125 00:08:18,080 --> 00:08:22,640 Speaker 1: the COVID emergency, A lot of representatives just don't bother 126 00:08:22,800 --> 00:08:27,280 Speaker 1: traveling to Washington DC anymore. They make their fat paychecks. 127 00:08:27,920 --> 00:08:33,960 Speaker 1: They make their fat all the different support, their health insurance, 128 00:08:34,720 --> 00:08:38,400 Speaker 1: all the different benefits that they get funded by us, 129 00:08:38,480 --> 00:08:43,000 Speaker 1: the taxpayer. They're going to spend one point seven trillion dollars, y'all, 130 00:08:43,480 --> 00:08:45,400 Speaker 1: and only half of them are actually going to be 131 00:08:45,440 --> 00:08:48,360 Speaker 1: willing to vote in person because the other half have 132 00:08:48,400 --> 00:08:53,280 Speaker 1: already left to take off for vacation. Think about where 133 00:08:53,280 --> 00:08:59,240 Speaker 1: we are that only half of your elected representatives are 134 00:08:59,240 --> 00:09:03,680 Speaker 1: willing to vote in person to spend one point seven 135 00:09:03,800 --> 00:09:08,600 Speaker 1: trillion dollars of your money. I mean, that's just an 136 00:09:08,600 --> 00:09:15,240 Speaker 1: absolute embarrassment. It's outrageous. Not even willing to be physically 137 00:09:15,400 --> 00:09:19,200 Speaker 1: present in Washington, DC to cast a vote to spend 138 00:09:19,320 --> 00:09:23,680 Speaker 1: one point seven trillion dollars of years in mind money. 139 00:09:23,800 --> 00:09:28,160 Speaker 1: They aren't even willing to do their job. They're letting 140 00:09:28,160 --> 00:09:32,480 Speaker 1: them vote remotely. They just pop in a zoom sit 141 00:09:32,679 --> 00:09:37,800 Speaker 1: right there from their home, cash their taxpayer funded checks, 142 00:09:38,559 --> 00:09:41,079 Speaker 1: the sinecures that guarantee them that they're going to make 143 00:09:41,120 --> 00:09:44,280 Speaker 1: millions of dollars for the rest of their lives. They 144 00:09:44,320 --> 00:09:47,480 Speaker 1: decide to leave, they'll go be a lobbyist. They're set 145 00:09:47,559 --> 00:09:51,360 Speaker 1: for life, and they aren't even willing to be present 146 00:09:51,559 --> 00:09:55,199 Speaker 1: half of them in Washington, DC. That's where we are, 147 00:09:56,400 --> 00:09:59,439 Speaker 1: and I want to just talk negatives. So to start 148 00:09:59,520 --> 00:10:00,760 Speaker 1: off the show, I wanted to tell you what I 149 00:10:00,760 --> 00:10:02,880 Speaker 1: think is the most positive thing that happened in twenty 150 00:10:02,920 --> 00:10:06,880 Speaker 1: twenty two. Elon Musk buying Twitter. I think it is 151 00:10:06,880 --> 00:10:13,720 Speaker 1: the single most important, long lasting, impactful reason for optimism 152 00:10:14,000 --> 00:10:17,640 Speaker 1: of anything that happened in twenty twenty two. I'm gonna 153 00:10:17,640 --> 00:10:22,040 Speaker 1: explain why over the course of this show. I'm going 154 00:10:22,080 --> 00:10:25,559 Speaker 1: to try to convince you why I am super optimistic 155 00:10:25,679 --> 00:10:29,360 Speaker 1: about what his purchase can mean for the larger media 156 00:10:29,440 --> 00:10:32,640 Speaker 1: ecosystem in this country. But I would put Musk and 157 00:10:32,760 --> 00:10:36,120 Speaker 1: Trump in this camp. One of the things that has 158 00:10:36,120 --> 00:10:39,240 Speaker 1: most frustrated me as I made the move from sports 159 00:10:39,360 --> 00:10:43,600 Speaker 1: into this arena has been the number of people who 160 00:10:43,640 --> 00:10:48,160 Speaker 1: are extremely wealthy and successful in life and they reach 161 00:10:48,200 --> 00:10:50,320 Speaker 1: out and they say, I agree with everything that you say. 162 00:10:51,440 --> 00:10:55,839 Speaker 1: They won't say it publicly because they're afraid that they 163 00:10:55,920 --> 00:11:00,160 Speaker 1: might be a target. We have long since passed the 164 00:11:00,240 --> 00:11:05,800 Speaker 1: time when standing on the sidelines and cheering quietly from 165 00:11:05,800 --> 00:11:08,960 Speaker 1: people with the resources to make a difference in this country. 166 00:11:10,840 --> 00:11:14,160 Speaker 1: It's just not acceptable anymore. And that's why I give 167 00:11:14,200 --> 00:11:16,760 Speaker 1: credit to Donald Trump in a big way, and also 168 00:11:17,080 --> 00:11:20,640 Speaker 1: why I give credit to Elon Musk, because they are 169 00:11:20,720 --> 00:11:24,440 Speaker 1: so wealthy, both of them. They never had to step 170 00:11:24,559 --> 00:11:27,679 Speaker 1: into the fray and step into the arena and start 171 00:11:27,720 --> 00:11:31,400 Speaker 1: taking the slings and arrows that immediately rained down upon 172 00:11:31,520 --> 00:11:34,439 Speaker 1: you if you say anything other than this woke bs. 173 00:11:36,240 --> 00:11:38,960 Speaker 1: They could have continued to cash checks, they could have 174 00:11:39,080 --> 00:11:43,760 Speaker 1: lived really easy lives. Instead, they looked at what was 175 00:11:43,800 --> 00:11:47,080 Speaker 1: going on in their country and they said, I can't 176 00:11:47,200 --> 00:11:51,120 Speaker 1: stand this any longer. I'm stepping into the arena. Let 177 00:11:51,120 --> 00:11:54,560 Speaker 1: me grab my sword, let me grab my bows and arrows. 178 00:11:55,000 --> 00:11:57,880 Speaker 1: Let me go right into this arena and start to 179 00:11:57,960 --> 00:12:01,000 Speaker 1: stand up for what I believe in. And I'm hopeful, 180 00:12:01,720 --> 00:12:05,800 Speaker 1: cautiously optimistic that Elon Musk is in the vanguard of 181 00:12:05,840 --> 00:12:09,440 Speaker 1: a younger generation of billionaire in this country that have 182 00:12:09,520 --> 00:12:12,160 Speaker 1: seen enough of this woke bs, that have seen enough 183 00:12:12,320 --> 00:12:16,199 Speaker 1: of America being torn down to the point where universities 184 00:12:16,240 --> 00:12:19,040 Speaker 1: like Stanford won't even allow the use of the word 185 00:12:19,040 --> 00:12:21,920 Speaker 1: American because it's a pejorative. That's what they said as 186 00:12:21,960 --> 00:12:25,360 Speaker 1: part of their speech control at one of America's most 187 00:12:25,400 --> 00:12:30,360 Speaker 1: elite institutions. I'm very hopeful that what we're going to 188 00:12:30,400 --> 00:12:34,400 Speaker 1: see going forward is more people with resources to fight 189 00:12:34,600 --> 00:12:37,480 Speaker 1: deciding that they're finally going to get into the fight. 190 00:12:37,840 --> 00:12:40,760 Speaker 1: I think Trump was important, but I think Elon Musk 191 00:12:40,920 --> 00:12:45,160 Speaker 1: can truly be transformative, and I'm gonna explain why over 192 00:12:45,160 --> 00:12:46,920 Speaker 1: the course of this program. We've got a loaded show 193 00:12:46,920 --> 00:12:49,840 Speaker 1: for you. By the way, Senator Bill Haggerty will join 194 00:12:50,000 --> 00:12:53,800 Speaker 1: us at one o'clock Eastern to talk about the ridiculousness 195 00:12:53,960 --> 00:12:58,800 Speaker 1: of the Senate action yesterday eighteen Republican turncoat senators that 196 00:12:58,920 --> 00:13:01,920 Speaker 1: decided to spend one point seven trillion of year dollars. 197 00:13:02,520 --> 00:13:04,840 Speaker 1: How did that happen? Why did that happen? Jason lewis 198 00:13:04,920 --> 00:13:07,000 Speaker 1: going to be with us from the House Budget Committee. 199 00:13:07,000 --> 00:13:09,760 Speaker 1: He's going to explain what the significance is of the 200 00:13:09,760 --> 00:13:11,960 Speaker 1: amount of money that's being spent and how we got here. 201 00:13:12,040 --> 00:13:14,760 Speaker 1: And then coming up in about twelve minutes, as I 202 00:13:14,800 --> 00:13:18,080 Speaker 1: already mentioned, Alex Berenson is going to join us to 203 00:13:18,160 --> 00:13:21,320 Speaker 1: talk about the latest on the COVID shot data, information 204 00:13:21,400 --> 00:13:22,960 Speaker 1: that I think is important for all of you to 205 00:13:23,000 --> 00:13:26,280 Speaker 1: have at the end of this year, for not only yourselves, 206 00:13:26,320 --> 00:13:29,080 Speaker 1: but also for your families, for your kids, and for 207 00:13:29,280 --> 00:13:31,760 Speaker 1: your grandkids. All that headed this way. We'll also have 208 00:13:31,840 --> 00:13:34,680 Speaker 1: some fun, because I do want this to be an 209 00:13:34,679 --> 00:13:40,239 Speaker 1: extremely positive story as well of what was a fabulous 210 00:13:40,280 --> 00:13:43,120 Speaker 1: twenty twenty two on this radio program and the amount 211 00:13:43,120 --> 00:13:45,760 Speaker 1: of time that we all got spent together every single 212 00:13:45,800 --> 00:13:47,960 Speaker 1: day for three hours. I don't take that for granted, 213 00:13:48,160 --> 00:13:50,920 Speaker 1: and I've loved every minute. We will run through some 214 00:13:51,040 --> 00:13:53,120 Speaker 1: of that as well. I want to tell you I 215 00:13:53,120 --> 00:13:56,360 Speaker 1: mentioned how ridiculous the decisions are at Stanford, but thankfully 216 00:13:56,400 --> 00:13:59,440 Speaker 1: the faculty and administration at Hillsdale College they aren't crazy 217 00:13:59,679 --> 00:14:01,319 Speaker 1: and they want to wish you and yours a happy, 218 00:14:01,360 --> 00:14:04,199 Speaker 1: blessed Christmas in a healthy and prosperous new year. Since 219 00:14:04,200 --> 00:14:07,360 Speaker 1: they're founding in eighteen forty four, one hundred and seventy 220 00:14:07,440 --> 00:14:10,400 Speaker 1: eight years ago, their professors have taught students by precept 221 00:14:10,400 --> 00:14:13,720 Speaker 1: and example, teachings and practices of the Christian faith. The 222 00:14:13,800 --> 00:14:17,600 Speaker 1: college continues this mission in its classrooms and nationwide through 223 00:14:17,640 --> 00:14:20,720 Speaker 1: its educational outreach efforts. As to thank you for your 224 00:14:20,800 --> 00:14:24,120 Speaker 1: kindness toward to college, our friends at Hillsdale have prepared 225 00:14:24,160 --> 00:14:27,920 Speaker 1: a special video featuring their Sacred Music Choir singing a 226 00:14:28,080 --> 00:14:31,000 Speaker 1: little town of Bethlehem and their beautiful christ Chapel at 227 00:14:31,000 --> 00:14:34,240 Speaker 1: the heart of campus. When you visit Hillsdale dot edu 228 00:14:34,400 --> 00:14:37,440 Speaker 1: slash Christmas, you can see and hear the choir and 229 00:14:37,640 --> 00:14:41,480 Speaker 1: view many other free resources to celebrate the season. I 230 00:14:41,520 --> 00:14:45,240 Speaker 1: promise it'll be uplifting and inspiring. That's Hillsdale dot edu 231 00:14:45,680 --> 00:14:51,960 Speaker 1: slash Christmas, Hillsdale dot edu slash Christmas, Truth Seeking, reality 232 00:14:52,160 --> 00:14:56,520 Speaker 1: telling The Clay Travis and Buck Sexton Show Welcome Back 233 00:14:56,520 --> 00:14:59,720 Speaker 1: in Clay Travis buck Sexton Show. I mentioned in the 234 00:15:00,280 --> 00:15:02,640 Speaker 1: that I consider Elon Musk buying Twitter to be the 235 00:15:02,640 --> 00:15:07,240 Speaker 1: most significant and positive outcome of twenty twenty two. The 236 00:15:07,400 --> 00:15:12,760 Speaker 1: reason is because I don't think the average person realizes 237 00:15:13,200 --> 00:15:19,320 Speaker 1: how embedded this woke mind virus really is in our 238 00:15:19,360 --> 00:15:22,560 Speaker 1: culture today. And I mentioned this on the show before, 239 00:15:22,960 --> 00:15:25,120 Speaker 1: but I think this is important for you guys out 240 00:15:25,160 --> 00:15:29,680 Speaker 1: there to understand. Do you know, do you know there's 241 00:15:29,680 --> 00:15:33,720 Speaker 1: not a single car company that advertises with this radio show. 242 00:15:34,760 --> 00:15:38,680 Speaker 1: You know there's not a single restaurant that advertises with 243 00:15:38,800 --> 00:15:47,240 Speaker 1: this radio show. You know, there's not a single entertainment property, television, digital, streaming, 244 00:15:48,360 --> 00:15:51,600 Speaker 1: you name it that advertises with this radio show, Joe. 245 00:15:51,600 --> 00:15:56,600 Speaker 1: There's not a single major sporting event that advertises with 246 00:15:56,760 --> 00:15:58,720 Speaker 1: this radio show. This is the biggest radio show in 247 00:15:58,760 --> 00:16:03,320 Speaker 1: the country. All of you buy cars, eat in restaurants, 248 00:16:04,840 --> 00:16:11,280 Speaker 1: watch movies and television, and watch sports to varying degrees. 249 00:16:12,280 --> 00:16:15,120 Speaker 1: None of those industries will spend money here. Do you 250 00:16:15,120 --> 00:16:22,240 Speaker 1: know why? Because the single wokeust company, wokest industry, I 251 00:16:22,280 --> 00:16:25,320 Speaker 1: should say, in the entire country, is the advertising industry, 252 00:16:26,360 --> 00:16:31,240 Speaker 1: and they have taken over so much of the media 253 00:16:31,360 --> 00:16:38,640 Speaker 1: ecosystem that there is virtually no real marketplace of ideas anymore. 254 00:16:39,040 --> 00:16:43,160 Speaker 1: And that has particularly been true in big tech, where 255 00:16:43,200 --> 00:16:50,600 Speaker 1: everybody unanimously suspended Donald Trump simultaneously in the wake of 256 00:16:50,680 --> 00:16:53,800 Speaker 1: January sixth. And I've said this for a long time, 257 00:16:53,800 --> 00:16:57,680 Speaker 1: but I don't think enough people talked about this. Everybody did. 258 00:16:58,640 --> 00:17:04,840 Speaker 1: Pentterist suspended Donald Trump, Etsy suspended Donald Trump. I don't 259 00:17:04,840 --> 00:17:08,800 Speaker 1: even know really what those companies do, but I made 260 00:17:08,800 --> 00:17:11,720 Speaker 1: fun of Pinterest and said Donald Trump couldn't sell scarfs 261 00:17:11,760 --> 00:17:13,679 Speaker 1: if he wanted to, like if he got into knitting. 262 00:17:13,920 --> 00:17:18,520 Speaker 1: Evidently that's etsy they suspended Donald Trump from being able 263 00:17:19,560 --> 00:17:23,040 Speaker 1: to sell. If he had decided, Hey, I've retired, retiring 264 00:17:23,080 --> 00:17:27,160 Speaker 1: from politics, and now I'm going to just make Christmas scarfs. 265 00:17:27,440 --> 00:17:29,920 Speaker 1: I've really gotten into knitting. I want to be able 266 00:17:29,960 --> 00:17:32,199 Speaker 1: to sell these. They suspended him from being able to 267 00:17:32,240 --> 00:17:35,480 Speaker 1: do that. And what Elon Musk did when he spent 268 00:17:35,560 --> 00:17:39,480 Speaker 1: forty four billion dollars is he upset all of that 269 00:17:39,560 --> 00:17:44,119 Speaker 1: big tech conspiracy, all of that big tech collusion, and 270 00:17:44,240 --> 00:17:48,800 Speaker 1: he let us know for sure what was happening inside 271 00:17:48,840 --> 00:17:51,960 Speaker 1: of all these big tech companies. Because just like with 272 00:17:52,040 --> 00:17:55,080 Speaker 1: Fox News, just like with the Wall Street Journal, just 273 00:17:55,280 --> 00:18:00,520 Speaker 1: like with this show, suddenly having one person or one 274 00:18:00,640 --> 00:18:05,280 Speaker 1: group speaking truth shows you how much lying there is 275 00:18:05,320 --> 00:18:08,080 Speaker 1: going on. That's what Rush did in radio, and that's 276 00:18:08,080 --> 00:18:10,120 Speaker 1: what Elon Musk is doing with big Tech. And it's 277 00:18:10,119 --> 00:18:12,840 Speaker 1: the single most encouraging thing that's going on right now 278 00:18:13,200 --> 00:18:16,359 Speaker 1: in all of American life. In my opinion. AMMO has 279 00:18:16,359 --> 00:18:18,720 Speaker 1: been more expensive this past year, just like so many 280 00:18:18,760 --> 00:18:21,560 Speaker 1: other items. That makes it more expensive to train and 281 00:18:21,640 --> 00:18:24,160 Speaker 1: keep your skills sharp. If you've got a gun, you 282 00:18:24,240 --> 00:18:27,399 Speaker 1: now can train without needing ammunition and you can do 283 00:18:27,440 --> 00:18:30,000 Speaker 1: it at home using something very cool. It's a mantis X. 284 00:18:30,359 --> 00:18:32,560 Speaker 1: Many of the best shooters doing this now. It's a 285 00:18:32,640 --> 00:18:38,240 Speaker 1: dry fire practice mantis X Firearms training system no AMMO, 286 00:18:38,440 --> 00:18:42,560 Speaker 1: all electronic way to improve your shooting accuracy being used 287 00:18:42,560 --> 00:18:46,320 Speaker 1: by Marines and Army as well as special forces, military 288 00:18:46,359 --> 00:18:50,240 Speaker 1: grade technology an affordable price. You can get ninety four 289 00:18:50,359 --> 00:18:54,879 Speaker 1: percent improvement within one twenty minute training. All you have 290 00:18:54,920 --> 00:18:58,959 Speaker 1: to do start improving your shooting accuracy today at mantis 291 00:18:59,160 --> 00:19:02,200 Speaker 1: x dot com. That's m A N T I s 292 00:19:02,560 --> 00:19:08,200 Speaker 1: X dot com. Mantis x dot com. Welcome back in 293 00:19:08,560 --> 00:19:12,040 Speaker 1: Clay Travis buck Sexton Show. Appreciate all of you hanging 294 00:19:12,080 --> 00:19:16,240 Speaker 1: out with us as we power through Christmas Eve Eve. 295 00:19:16,320 --> 00:19:18,280 Speaker 1: If you got young kids out there, as I know 296 00:19:18,359 --> 00:19:21,679 Speaker 1: Alex Barrenson does, this time of the year can be 297 00:19:21,960 --> 00:19:25,800 Speaker 1: a fun time but also a crazy time, so I 298 00:19:25,800 --> 00:19:29,320 Speaker 1: appreciate everybody making time to hang out with us. And 299 00:19:29,440 --> 00:19:32,320 Speaker 1: Alex Berenson joins us now, one of the true truth 300 00:19:32,480 --> 00:19:36,240 Speaker 1: tellers of the twenty twenty two, twenty twenty one, twenty 301 00:19:36,280 --> 00:19:39,080 Speaker 1: twenty cycle of insanity in this country. Alex appreciate you 302 00:19:39,119 --> 00:19:41,840 Speaker 1: joining us. Thanks Feremie. I mean, I do feel like 303 00:19:41,880 --> 00:19:44,359 Speaker 1: twenty twenty two is the year, uh you know, the 304 00:19:44,400 --> 00:19:46,119 Speaker 1: world sort of started to catch up to you and 305 00:19:46,240 --> 00:19:49,320 Speaker 1: me and Team Reality. I mean, it's it's it's definitely 306 00:19:49,320 --> 00:19:53,320 Speaker 1: started to happen. Amen. Okay, So you had an interesting 307 00:19:53,359 --> 00:19:56,760 Speaker 1: piece up about these COVID shots, and I do think 308 00:19:56,760 --> 00:20:00,879 Speaker 1: this is important because I hope that this holiday season 309 00:20:00,960 --> 00:20:02,840 Speaker 1: for many of you out there, even if you have 310 00:20:03,040 --> 00:20:06,800 Speaker 1: crazy left wing family members, like maybe you're not wearing 311 00:20:06,840 --> 00:20:10,520 Speaker 1: masks asking you about your COVID shot status, but their 312 00:20:10,600 --> 00:20:13,399 Speaker 1: studies out there now saying that if you get the 313 00:20:13,480 --> 00:20:17,000 Speaker 1: COVID shot, you may be more likely to get COVID. 314 00:20:17,119 --> 00:20:19,760 Speaker 1: A couple of them that you wrote about, what is 315 00:20:19,800 --> 00:20:24,400 Speaker 1: the latest data on these COVID shots? Sure so so yeah, 316 00:20:24,400 --> 00:20:25,960 Speaker 1: So I wrote about this in my sub stack. I 317 00:20:25,960 --> 00:20:29,280 Speaker 1: think it was Tuesday. There are two studies, but the 318 00:20:29,359 --> 00:20:31,480 Speaker 1: more important one actually just came out just a few 319 00:20:31,520 --> 00:20:34,719 Speaker 1: days ago and it's from the Cleveland Clinic. And what 320 00:20:34,760 --> 00:20:37,160 Speaker 1: the Cleveland Clinic did was look at, you know, it's 321 00:20:37,160 --> 00:20:39,680 Speaker 1: a very large workforce, a very large hospital system. It's 322 00:20:39,680 --> 00:20:42,040 Speaker 1: not just one hospital in Ohio safe about fifty thousand 323 00:20:42,040 --> 00:20:47,000 Speaker 1: employees and about ten thousand of those employees had received 324 00:20:47,240 --> 00:20:49,600 Speaker 1: the by Valan booster and others, the fall booster that 325 00:20:49,680 --> 00:20:51,800 Speaker 1: you know everyone's talked about or that the government is 326 00:20:51,840 --> 00:20:54,399 Speaker 1: you know, pushing as the great thing that's going to 327 00:20:54,440 --> 00:20:56,200 Speaker 1: stop you from getting COVID. And of course a lot 328 00:20:56,200 --> 00:20:59,280 Speaker 1: of us I think, no, anecdotally that this is not true. 329 00:20:59,320 --> 00:21:01,080 Speaker 1: That you know, we know lots of people who got 330 00:21:01,080 --> 00:21:05,359 Speaker 1: boosted and got covid um, you know, including including Rochelle Wileski, 331 00:21:05,800 --> 00:21:07,600 Speaker 1: you know, a few weeks ago, the head of the CDC. 332 00:21:08,320 --> 00:21:10,760 Speaker 1: So so so we intuitively know this isn't true. But 333 00:21:10,800 --> 00:21:13,360 Speaker 1: what this but what the Cleveland clinic did is they 334 00:21:13,400 --> 00:21:17,680 Speaker 1: looked at infections by the number of shots that people 335 00:21:17,680 --> 00:21:20,560 Speaker 1: who had received, peopleho had been infected, and they looked 336 00:21:20,640 --> 00:21:25,320 Speaker 1: at the the the vaccination history of those people. And 337 00:21:25,359 --> 00:21:28,120 Speaker 1: it turned out and this was pretty stunning even to me, 338 00:21:28,880 --> 00:21:32,719 Speaker 1: that that not only did the did the people who 339 00:21:32,800 --> 00:21:36,600 Speaker 1: had been vaccinated the most have the highest risk of COVID. 340 00:21:37,000 --> 00:21:40,600 Speaker 1: The differential in this study was about three and a 341 00:21:40,640 --> 00:21:42,760 Speaker 1: half to one, So you were three and a half 342 00:21:42,800 --> 00:21:47,520 Speaker 1: times more likely to be infected with the new newest variant, 343 00:21:47,560 --> 00:21:51,600 Speaker 1: with the new omicron variants if you'd been uh, if 344 00:21:51,640 --> 00:21:54,480 Speaker 1: you've been vaccinated at least three times, then if you 345 00:21:54,520 --> 00:21:56,920 Speaker 1: hadn't been vaccinated at all. And the other thing about 346 00:21:56,960 --> 00:22:00,360 Speaker 1: this was one shot was riskier than two. I'm sorry. 347 00:22:00,359 --> 00:22:03,399 Speaker 1: One shot was rescued then none, two was riscued than one, 348 00:22:03,560 --> 00:22:05,520 Speaker 1: three was riscued than two. So it was sort of 349 00:22:05,520 --> 00:22:10,040 Speaker 1: a perfect what doctors clay perfect dost response curve, which 350 00:22:10,119 --> 00:22:14,080 Speaker 1: is exactly the opposite of the vaccine working. The more 351 00:22:14,160 --> 00:22:16,959 Speaker 1: doses you've got, the more likely you were to be 352 00:22:17,240 --> 00:22:21,679 Speaker 1: infected with this spirrus. Okay, so this is a big revelation. 353 00:22:22,119 --> 00:22:24,040 Speaker 1: You were one of the first people to point out, 354 00:22:24,040 --> 00:22:27,040 Speaker 1: and the data certainly confirmed it that even people who 355 00:22:27,080 --> 00:22:29,280 Speaker 1: claim that they love the shots and that they're working 356 00:22:29,320 --> 00:22:32,840 Speaker 1: fantastically well are actually not getting the shots for their 357 00:22:32,920 --> 00:22:37,439 Speaker 1: kids because the intake rate, thankfully for young children, is 358 00:22:38,200 --> 00:22:42,640 Speaker 1: wildly low. Right, so where does this go kids under five? 359 00:22:43,160 --> 00:22:46,600 Speaker 1: One percent? Is that below ten percent for kids under five? 360 00:22:46,880 --> 00:22:49,240 Speaker 1: And the other thing that's amazing is a significant number 361 00:22:49,240 --> 00:22:51,160 Speaker 1: of people who got one shot, So people who ran 362 00:22:51,200 --> 00:22:53,600 Speaker 1: out in July and August and got their kid the 363 00:22:53,640 --> 00:22:57,439 Speaker 1: first shot didn't get the second. Yeah, So so even 364 00:22:57,480 --> 00:23:00,840 Speaker 1: the true believers woke up at some over the summer. So, 365 00:23:00,880 --> 00:23:03,959 Speaker 1: I mean, I think that's important. Ninety percent of American 366 00:23:04,080 --> 00:23:07,280 Speaker 1: parents of people who are five and younger, and I've 367 00:23:07,359 --> 00:23:09,439 Speaker 1: raised three through that point, I think you've got a 368 00:23:09,440 --> 00:23:12,320 Speaker 1: couple in that age range. Now, Alex, anybody out there 369 00:23:12,320 --> 00:23:14,680 Speaker 1: who has done this knows that is the age when 370 00:23:14,680 --> 00:23:17,840 Speaker 1: you are the most obsessed with the health of your children. 371 00:23:17,880 --> 00:23:21,280 Speaker 1: Imaginable because they are so young, they are so vulnerable. 372 00:23:21,640 --> 00:23:24,840 Speaker 1: Ninety percent, only ten percent, even a lot of these 373 00:23:25,040 --> 00:23:28,199 Speaker 1: left wingers are not actually getting their young children the 374 00:23:28,240 --> 00:23:31,280 Speaker 1: COVID shot, despite what they may be saying publicly about 375 00:23:31,280 --> 00:23:33,920 Speaker 1: how many COVID shots they're getting themselves. So where does 376 00:23:33,960 --> 00:23:38,240 Speaker 1: this leave us, Alex, in particular, now that even China, 377 00:23:38,400 --> 00:23:42,119 Speaker 1: now that even China has said, hey, this COVID zero 378 00:23:42,320 --> 00:23:45,600 Speaker 1: zero COVID, however you want to classify it is not 379 00:23:45,800 --> 00:23:50,119 Speaker 1: a viable option going forward. Essentially, they finally said in China, 380 00:23:50,480 --> 00:23:53,359 Speaker 1: everybody's going to get this. And the overall impact this 381 00:23:53,480 --> 00:23:57,280 Speaker 1: is significant, they said, is unlikely to be very substantial 382 00:23:57,320 --> 00:24:01,359 Speaker 1: because the omicron variant is so mild. Where does this 383 00:24:01,520 --> 00:24:04,960 Speaker 1: leave us as we enter into twenty twenty three, as 384 00:24:04,960 --> 00:24:08,639 Speaker 1: it pertains to COVID. Oh you know, so I think 385 00:24:08,960 --> 00:24:11,200 Speaker 1: I mean, I think the mr ands are effectively dead. 386 00:24:11,240 --> 00:24:14,560 Speaker 1: The coccines are effectively dead. Right, It's it's as you said, 387 00:24:14,960 --> 00:24:18,200 Speaker 1: their kid kids are not getting them. Uh and beyond 388 00:24:18,280 --> 00:24:22,360 Speaker 1: that to buy valid boosters again, these fall boosters. A 389 00:24:22,440 --> 00:24:26,200 Speaker 1: majority of adults over sixty five haven't gotten notes, which 390 00:24:26,280 --> 00:24:29,920 Speaker 1: is pretty incredible. Um and you know, and so there's 391 00:24:29,920 --> 00:24:32,040 Speaker 1: been all kinds of excuses though people didn't know that 392 00:24:32,119 --> 00:24:34,919 Speaker 1: these shots existed or or you know, it's harder for 393 00:24:34,960 --> 00:24:37,399 Speaker 1: them to get it. It's it's all lies. People know 394 00:24:37,520 --> 00:24:39,840 Speaker 1: that these shots are out there, and they're being christy 395 00:24:39,920 --> 00:24:43,360 Speaker 1: get them, and they're just rejecting them. Um. So, so 396 00:24:43,440 --> 00:24:48,119 Speaker 1: I think they're dead. Okay, So if they're dead, do 397 00:24:48,160 --> 00:24:50,840 Speaker 1: you think the significance or sorry, what do you think 398 00:24:50,840 --> 00:24:55,040 Speaker 1: about China and the zero COVID basically being abandoned there too? Yeah, Sonny, 399 00:24:55,040 --> 00:24:57,120 Speaker 1: you mentioned China because that's gonna be my next subsetet 400 00:24:57,200 --> 00:24:59,040 Speaker 1: by the way. Um and I'm glad to have you 401 00:24:59,080 --> 00:25:00,920 Speaker 1: as a reader because you do to read most of them, 402 00:25:00,920 --> 00:25:04,160 Speaker 1: which is pretty cool. But so, so, you know, I 403 00:25:04,200 --> 00:25:06,440 Speaker 1: think you know what there is to say about China 404 00:25:06,720 --> 00:25:11,480 Speaker 1: is that China is they are first of all, they're 405 00:25:11,520 --> 00:25:13,760 Speaker 1: not going to go with the Mr Ands right, they 406 00:25:13,920 --> 00:25:17,400 Speaker 1: don't want our vaccines, that's one hundred percent clear. They 407 00:25:17,400 --> 00:25:19,639 Speaker 1: are just going to open up and they're gonna have 408 00:25:19,680 --> 00:25:22,919 Speaker 1: a few bad weeks and then it's probably gonna be 409 00:25:22,920 --> 00:25:26,720 Speaker 1: like Hong Kong where they're done. Okay, And for people 410 00:25:26,760 --> 00:25:29,000 Speaker 1: who have been so what you and I used to 411 00:25:29,040 --> 00:25:32,359 Speaker 1: call Team Apocalypse, China is a real problem, right because 412 00:25:32,359 --> 00:25:35,000 Speaker 1: if things open up and go badly, it means that 413 00:25:35,080 --> 00:25:37,919 Speaker 1: the lockdowns were useless. Okay, If things open up and 414 00:25:38,000 --> 00:25:40,639 Speaker 1: go well, it means they're vaccines are actually better than 415 00:25:40,680 --> 00:25:45,280 Speaker 1: our vaccine because guess what. Australia, Taiwan countries that opened 416 00:25:45,359 --> 00:25:49,440 Speaker 1: this year after locking down and used the Western vaccines 417 00:25:49,640 --> 00:25:51,440 Speaker 1: have had a lot of problems with COVID this year. 418 00:25:51,720 --> 00:25:53,000 Speaker 1: So if you're the New York Times and the one 419 00:25:53,080 --> 00:25:55,159 Speaker 1: End your kind of rootings for, you know things to 420 00:25:55,200 --> 00:25:57,200 Speaker 1: be terrible in China, which is an awful thing to say, 421 00:25:57,240 --> 00:25:59,680 Speaker 1: but it is how the coverage reads. On the other hand, 422 00:26:00,240 --> 00:26:03,080 Speaker 1: you you know that means the lockdowns were useless. So 423 00:26:03,240 --> 00:26:07,240 Speaker 1: whatever happens in China, it will be a failure for 424 00:26:07,359 --> 00:26:10,159 Speaker 1: the covidians, right, it will be more proof that the 425 00:26:10,200 --> 00:26:12,880 Speaker 1: sweetish strategy with the correct one. Now, I do think 426 00:26:12,880 --> 00:26:15,040 Speaker 1: I think they're gonna have a wave. I think there's 427 00:26:15,040 --> 00:26:17,440 Speaker 1: going to be significant number of deaths which they're gonna 428 00:26:17,440 --> 00:26:20,280 Speaker 1: lie about. They're already clearly lying about those, and then 429 00:26:20,600 --> 00:26:22,520 Speaker 1: and then it'll be done. Because that's what happened in 430 00:26:22,560 --> 00:26:24,760 Speaker 1: Hong Kong, which is the most like China in terms 431 00:26:24,800 --> 00:26:29,680 Speaker 1: of you know, age of population, obviously, ethnicity, population density, 432 00:26:29,680 --> 00:26:31,919 Speaker 1: and the vaccines they use. So Hong Kong had a 433 00:26:31,960 --> 00:26:34,960 Speaker 1: bad spring, and now it's done with COVID. The countries 434 00:26:34,960 --> 00:26:37,359 Speaker 1: that are not done with COVID and are going to 435 00:26:37,400 --> 00:26:39,600 Speaker 1: seemingly have to live with us for a while longer. 436 00:26:39,800 --> 00:26:43,040 Speaker 1: Our countries like US and countries in Europe that use 437 00:26:43,160 --> 00:26:46,800 Speaker 1: the super fancy new vaccines, those vaccines just look worse 438 00:26:47,119 --> 00:26:49,840 Speaker 1: and worse and worse as time goes on. I mean, clearly, 439 00:26:49,880 --> 00:26:53,320 Speaker 1: they did some good in early twenty twenty one, but 440 00:26:53,400 --> 00:26:56,400 Speaker 1: ever since then they looked like a worse and worse dead. 441 00:26:56,920 --> 00:26:59,840 Speaker 1: So this is why I'm really intrigued by what's going 442 00:26:59,880 --> 00:27:02,879 Speaker 1: on in Florida and the fact that they are essentially 443 00:27:02,960 --> 00:27:05,680 Speaker 1: opening a grand jury in the state of Florida run 444 00:27:05,720 --> 00:27:09,480 Speaker 1: to santus Is to look at whether there was fraud 445 00:27:09,640 --> 00:27:13,240 Speaker 1: from Maderna and Fiser. Now I know, and this is 446 00:27:13,280 --> 00:27:15,280 Speaker 1: me putting on my lawyer had Alex, I know that 447 00:27:15,320 --> 00:27:18,760 Speaker 1: there was immunity given to rush these COVID shots out 448 00:27:18,880 --> 00:27:20,919 Speaker 1: and I'm not even calling them vaccines and haven't been 449 00:27:20,960 --> 00:27:25,120 Speaker 1: for a long time. There's a shot, right, and so 450 00:27:25,720 --> 00:27:29,520 Speaker 1: are you at all intrigued to see whether there may 451 00:27:29,520 --> 00:27:33,359 Speaker 1: be some states start to pursue fraud charges, you know, 452 00:27:33,440 --> 00:27:36,160 Speaker 1: try to get some of this taxpayer funded profits back 453 00:27:36,520 --> 00:27:40,399 Speaker 1: from Maderna and Fiser over effectively a shot they sold 454 00:27:40,440 --> 00:27:43,159 Speaker 1: to us on a fraudulent basis, because, as you have 455 00:27:43,240 --> 00:27:44,840 Speaker 1: pointed out, and we pointed on this show for a 456 00:27:44,880 --> 00:27:47,760 Speaker 1: long time, Alex, they told you, if you get these shots, 457 00:27:47,800 --> 00:27:51,720 Speaker 1: you will neither get nor spread COVID. It'll basically end. 458 00:27:52,280 --> 00:27:54,399 Speaker 1: That didn't happen. And most of the time, when you 459 00:27:54,440 --> 00:27:57,199 Speaker 1: are sold a product and that product is sold for 460 00:27:57,400 --> 00:28:00,159 Speaker 1: profit and it doesn't do what they told you it 461 00:28:00,160 --> 00:28:03,080 Speaker 1: would do, that is called fraud. And the company that 462 00:28:03,119 --> 00:28:06,280 Speaker 1: produces that would be sold to say nothing of the 463 00:28:06,359 --> 00:28:09,600 Speaker 1: delatarious impact that might be coming from the COVID shot, 464 00:28:09,840 --> 00:28:11,800 Speaker 1: which I may want to hold you on to ask, 465 00:28:11,840 --> 00:28:14,760 Speaker 1: but that first question, do you think there are lawsuits 466 00:28:14,800 --> 00:28:17,159 Speaker 1: that should be filed to bring back the profits over 467 00:28:17,240 --> 00:28:20,679 Speaker 1: these shots? Well, I mean I think, Look, I'm glad 468 00:28:21,040 --> 00:28:23,040 Speaker 1: Ronda Santas, he's really been in the lead. And this 469 00:28:23,320 --> 00:28:26,720 Speaker 1: from you know, late March twenty twenty, early April twenty twenty. 470 00:28:26,720 --> 00:28:28,919 Speaker 1: And and and I'm old enough to remember, as you 471 00:28:28,960 --> 00:28:31,480 Speaker 1: are a clay people at the Washington Post and elsewhere 472 00:28:31,480 --> 00:28:34,879 Speaker 1: saying that Ronda Santis should be tried for manslaughter. Oh yeah, 473 00:28:34,880 --> 00:28:37,800 Speaker 1: because he didn't lock down slaughter quickly enough. Ronda Santas 474 00:28:37,880 --> 00:28:41,320 Speaker 1: understands the science and has followed this better than any 475 00:28:41,320 --> 00:28:45,440 Speaker 1: other politician in the United States. And look, I think 476 00:28:45,440 --> 00:28:48,360 Speaker 1: it's a long shot. I don't think I think it's 477 00:28:48,360 --> 00:28:50,760 Speaker 1: gonna be very hard because FIS is gonna say, First 478 00:28:50,800 --> 00:28:52,400 Speaker 1: of all, they're gonna say, we have immunity. Second all, 479 00:28:52,400 --> 00:28:55,720 Speaker 1: they're gonna say, we you know, we were under enormous pressure. 480 00:28:55,840 --> 00:28:58,080 Speaker 1: Society wanted these. We did the trials as best we 481 00:28:58,160 --> 00:29:00,480 Speaker 1: could and as fast as we could, and this is 482 00:29:00,520 --> 00:29:03,040 Speaker 1: what they found. And yeah, the protection didn't last, but 483 00:29:03,160 --> 00:29:06,680 Speaker 1: we didn't know that. So proving that they didn't know that. 484 00:29:07,360 --> 00:29:09,120 Speaker 1: You know, that's where you know, that's where we're gonna 485 00:29:09,160 --> 00:29:11,880 Speaker 1: have to see what the documents show. But they have 486 00:29:11,960 --> 00:29:14,080 Speaker 1: a strong defense. But am I glad to say this 487 00:29:14,280 --> 00:29:16,719 Speaker 1: is doing this? I'm absolutely glad he's doing Can you 488 00:29:16,760 --> 00:29:18,840 Speaker 1: come back for a couple of minutes to close out 489 00:29:18,840 --> 00:29:20,640 Speaker 1: the hour because I want to ask you this question. 490 00:29:21,080 --> 00:29:25,160 Speaker 1: Should people be concerned about the all cause mortality rates 491 00:29:25,160 --> 00:29:27,960 Speaker 1: that are going up? Is there any evidence to reflect 492 00:29:28,000 --> 00:29:31,480 Speaker 1: that that is really connected in any way to the shots? 493 00:29:31,480 --> 00:29:33,440 Speaker 1: Can you come back and help us break that day. Yeah, 494 00:29:33,720 --> 00:29:36,120 Speaker 1: I'd love to talk about that. Okay, perfect, We're gonna 495 00:29:36,120 --> 00:29:37,920 Speaker 1: ask Alex about that when we come back, because that's 496 00:29:38,000 --> 00:29:40,240 Speaker 1: data and analysis that I'm curious what he's seeing on 497 00:29:40,280 --> 00:29:43,760 Speaker 1: those numbers. In the meantime, rising inflation, volatile stock market, 498 00:29:43,800 --> 00:29:48,280 Speaker 1: reaching havoc on retirement accounts. Until economic uncertainty turns around, 499 00:29:48,320 --> 00:29:52,800 Speaker 1: Phoenix Capital Groups suggests you diversify your investments. They're introducing 500 00:29:52,840 --> 00:29:55,640 Speaker 1: investors to high value oil and gas investments here in 501 00:29:55,640 --> 00:29:58,360 Speaker 1: the United States with a current yield which can range 502 00:29:58,400 --> 00:30:02,480 Speaker 1: from eight percent to eleven percent, eight paid monthly. These 503 00:30:02,480 --> 00:30:05,600 Speaker 1: are corporate bond offerings and They're open to all investors 504 00:30:05,600 --> 00:30:09,400 Speaker 1: with annual interest paid monthly. Phoenix Capital Group offers live 505 00:30:09,480 --> 00:30:13,400 Speaker 1: webinars to learn about Phoenix's business structure ways. They offer 506 00:30:13,480 --> 00:30:16,760 Speaker 1: security for the offerings, risks and their financials. They host 507 00:30:16,840 --> 00:30:20,320 Speaker 1: live Q and a's where they'll answer all your questions. 508 00:30:20,360 --> 00:30:24,280 Speaker 1: Sign up at Investing with phx dot Com or you 509 00:30:24,320 --> 00:30:27,640 Speaker 1: can call three two three Phoenix. Investment in bonds has 510 00:30:27,680 --> 00:30:31,960 Speaker 1: certain risk. Before making investment decisions, you should carefully consider 511 00:30:32,040 --> 00:30:36,400 Speaker 1: and review all risks involved. Sign up today at Investing 512 00:30:36,480 --> 00:30:41,360 Speaker 1: with PHX dot Com. That's investing with Phx dot Com, 513 00:30:41,480 --> 00:30:45,080 Speaker 1: or you can call three two three Phoenix two Connect. 514 00:30:46,040 --> 00:30:49,720 Speaker 1: You don't know what you don't know right, but you should. 515 00:30:50,160 --> 00:30:54,000 Speaker 1: On the Sunday Hang with Buck podcast, Welcome back in 516 00:30:54,200 --> 00:30:57,880 Speaker 1: Play Travis Buck Sexton Show, final show for either Buck 517 00:30:58,080 --> 00:31:00,960 Speaker 1: or I of the Year. Next week you'll have two 518 00:31:01,000 --> 00:31:04,480 Speaker 1: great guests hosts with Todd Herman and also with Jason 519 00:31:04,600 --> 00:31:08,680 Speaker 1: Lewis Alex Berenson with us Now okay, Alex All cause 520 00:31:08,800 --> 00:31:14,680 Speaker 1: mortality appears to be rising substantially in many countries that 521 00:31:14,840 --> 00:31:20,640 Speaker 1: got substantial amounts of COVID shots. Is that connected? Should 522 00:31:20,720 --> 00:31:24,720 Speaker 1: we be concerned about what that data is showing. Yeah, 523 00:31:24,760 --> 00:31:26,560 Speaker 1: I mean, I definitely think we should be concerned. Just 524 00:31:26,640 --> 00:31:28,160 Speaker 1: to be clear, when we talk about COVID shots, I 525 00:31:28,160 --> 00:31:32,560 Speaker 1: always distinguished between the sort of standard inactivated virus old 526 00:31:32,600 --> 00:31:35,840 Speaker 1: style vaccine that's the Chinese and the Indians, and you 527 00:31:35,840 --> 00:31:38,400 Speaker 1: know there are other countries used, and the mRNA vax yes, 528 00:31:39,400 --> 00:31:42,360 Speaker 1: the d and there's there's also something called the DNA vaccine, 529 00:31:42,400 --> 00:31:46,239 Speaker 1: which is that Johnson Johnson vaccine that we use. And 530 00:31:46,280 --> 00:31:48,000 Speaker 1: we thought we've made a great bet here. We thought 531 00:31:48,040 --> 00:31:50,440 Speaker 1: these vaccines are so much more effective, you know, they 532 00:31:50,560 --> 00:31:53,400 Speaker 1: raised on anybody levels so much more than these old vaccines. 533 00:31:53,560 --> 00:31:55,320 Speaker 1: We're really going to beat COVID with us. Well, of 534 00:31:55,320 --> 00:31:57,400 Speaker 1: course that didn't happen. And as we talked about on 535 00:31:57,400 --> 00:32:00,000 Speaker 1: the previous segment, and as I've written about in my substance, 536 00:32:01,280 --> 00:32:04,040 Speaker 1: it now looks like that it's certainly with the omicron variant, 537 00:32:05,000 --> 00:32:09,120 Speaker 1: there may be negative efficacy, Okay, but there's a second issue, right, So, 538 00:32:09,120 --> 00:32:12,480 Speaker 1: so negative efficacy is a problem, it's not that big 539 00:32:12,480 --> 00:32:14,680 Speaker 1: a problem as long as a variant stay mild. It 540 00:32:14,720 --> 00:32:16,840 Speaker 1: just means, hey, you're more likely to get this cold 541 00:32:16,920 --> 00:32:19,760 Speaker 1: over and over again. Yeah, so serious variant shows up, 542 00:32:19,840 --> 00:32:22,400 Speaker 1: then we'd have a problem. Fortunately that hasn't happened. Right 543 00:32:23,120 --> 00:32:26,600 Speaker 1: Beyond that, there's sort of the direct potential for side effects. 544 00:32:26,640 --> 00:32:29,920 Speaker 1: So you got this technology. It was tested in thirty 545 00:32:29,920 --> 00:32:32,360 Speaker 1: five thousand people who are who are examined for about 546 00:32:32,480 --> 00:32:34,440 Speaker 1: three months for safety, and then we gave it to 547 00:32:34,480 --> 00:32:38,520 Speaker 1: a billion people. There are signs, as we know that 548 00:32:38,560 --> 00:32:41,440 Speaker 1: these vaccines can cause myer charditis, which is a you know, 549 00:32:41,480 --> 00:32:48,320 Speaker 1: an inflammation of heart tissue in young men, and pericharditis 550 00:32:48,360 --> 00:32:50,920 Speaker 1: which is related to that, and then in some cases 551 00:32:50,960 --> 00:32:54,280 Speaker 1: that can be fatal. But there's this bigger issue which 552 00:32:54,360 --> 00:32:58,040 Speaker 1: is in a lot of countries, especially in Europe, but 553 00:32:58,080 --> 00:33:02,080 Speaker 1: also Australia, Taiwan, other countries that used these vaccines and 554 00:33:02,160 --> 00:33:06,800 Speaker 1: vaccinated basically everybody all cosmortality. Now there's deaths from cancer 555 00:33:07,320 --> 00:33:11,320 Speaker 1: and heart disease and Alzheimer's and diabetes and everything else 556 00:33:11,480 --> 00:33:14,480 Speaker 1: is up a lot this year, okay, and we don't 557 00:33:14,520 --> 00:33:18,040 Speaker 1: know why. And the people who are pro vaccines say, oh, 558 00:33:18,080 --> 00:33:20,800 Speaker 1: it's because of delayed medical care. Well, let me tell 559 00:33:20,840 --> 00:33:24,840 Speaker 1: you a little secret. In Australia they locked down in 560 00:33:24,840 --> 00:33:27,360 Speaker 1: twenty twenty and twenty twenty one. They didn't really have 561 00:33:27,400 --> 00:33:30,680 Speaker 1: any become countries where there was no COVID in twenty 562 00:33:30,760 --> 00:33:33,320 Speaker 1: twenty and twenty twenty one or almost no COVID seemed 563 00:33:33,360 --> 00:33:37,719 Speaker 1: to be having this. And there's something else. It started 564 00:33:37,760 --> 00:33:41,680 Speaker 1: to go down, this excess mortality earlier this year, and 565 00:33:41,720 --> 00:33:44,160 Speaker 1: then we boosted and it went back up. And this 566 00:33:44,320 --> 00:33:48,040 Speaker 1: fall we boosted the game all basically only elderly people. 567 00:33:48,200 --> 00:33:51,920 Speaker 1: And guess what all cos mortality went up again, only 568 00:33:52,000 --> 00:33:54,800 Speaker 1: in elderly people. And now the booster campaign. There's one 569 00:33:54,840 --> 00:33:56,560 Speaker 1: good thing. I have one good piece of news in 570 00:33:56,640 --> 00:33:59,800 Speaker 1: all of this, which is now that the booster campaigns 571 00:33:59,800 --> 00:34:02,840 Speaker 1: have basically ended or been rejected in a couple of 572 00:34:02,880 --> 00:34:06,880 Speaker 1: countries that report these deaths pretty quickly. Mortality seems to 573 00:34:06,880 --> 00:34:09,040 Speaker 1: be going down again a little bit. But if you 574 00:34:09,120 --> 00:34:12,440 Speaker 1: add all this up to me, it's hard to escape 575 00:34:12,480 --> 00:34:15,520 Speaker 1: the conclusion that the vaccines should be looked at as 576 00:34:15,800 --> 00:34:18,480 Speaker 1: potential culprit number one, not that we can prove it 577 00:34:18,880 --> 00:34:21,160 Speaker 1: but at this point, but that they should be looked 578 00:34:21,200 --> 00:34:23,120 Speaker 1: at as the most likely cause of this. And I 579 00:34:23,160 --> 00:34:24,759 Speaker 1: want to say one of the things. If you know, 580 00:34:24,800 --> 00:34:27,319 Speaker 1: there's this documentary out there called Diets, Suddenly there's a 581 00:34:27,320 --> 00:34:30,280 Speaker 1: lot of nonsense floating around that you know, fifty percent 582 00:34:30,440 --> 00:34:32,880 Speaker 1: or death or fifty percent deaths or one hundred percent. 583 00:34:33,200 --> 00:34:37,960 Speaker 1: That's not true. Okay, deaths are up ten to fifteen percent, 584 00:34:38,400 --> 00:34:40,840 Speaker 1: which from if you're a vaccine company or your public 585 00:34:40,880 --> 00:34:43,640 Speaker 1: health bureaucrat, that's what you I mean, it's not what 586 00:34:43,719 --> 00:34:46,520 Speaker 1: you want, but it means you can deny that anything 587 00:34:46,600 --> 00:34:49,160 Speaker 1: real is happening. If death we're up one hundred percent, 588 00:34:49,400 --> 00:34:52,640 Speaker 1: we'd all know. So so what I try to do 589 00:34:52,719 --> 00:34:56,240 Speaker 1: that this is be honest without trying to scare people. 590 00:34:56,520 --> 00:34:58,400 Speaker 1: I want to sound the alarm. I want people to 591 00:34:58,400 --> 00:35:00,600 Speaker 1: be aware that this you know that they're this risk 592 00:35:00,680 --> 00:35:03,120 Speaker 1: out there. There's this question that must be answered. But 593 00:35:03,320 --> 00:35:05,960 Speaker 1: not to tell people, hey, you took these vaccines, you're 594 00:35:05,960 --> 00:35:08,840 Speaker 1: going to drop dead tomorrow, because that's not true and 595 00:35:08,880 --> 00:35:13,200 Speaker 1: that's alarming. How much rather would you be people like 596 00:35:13,320 --> 00:35:16,960 Speaker 1: you and me who never got these COVID shots and 597 00:35:17,040 --> 00:35:19,680 Speaker 1: maybe kept your kids from getting them, then the people 598 00:35:19,719 --> 00:35:22,120 Speaker 1: who have gone out and gotten five or six of 599 00:35:22,160 --> 00:35:25,359 Speaker 1: these COVID shots based on the data that you're seeing, Oh, 600 00:35:25,680 --> 00:35:29,360 Speaker 1: there's no question, I mean, especially you know, I mean, look, 601 00:35:29,400 --> 00:35:32,719 Speaker 1: we've all gotten COVID now, right, Yeah, Whether or not 602 00:35:33,080 --> 00:35:35,920 Speaker 1: you got you were whether or not you got the shops, 603 00:35:36,080 --> 00:35:37,719 Speaker 1: you are a risk for Omicron, And as we said 604 00:35:37,760 --> 00:35:39,759 Speaker 1: in the previous segment and I wrote about in the stack, 605 00:35:39,960 --> 00:35:42,440 Speaker 1: you were at higher risk. It looks like for Omicron 606 00:35:42,480 --> 00:35:46,439 Speaker 1: with the shot. So what benefit did anybody derive? The 607 00:35:46,480 --> 00:35:49,640 Speaker 1: only section is if you are really high risk. Last 608 00:35:49,719 --> 00:35:52,640 Speaker 1: year there was a brief period when maybe you avoided 609 00:35:52,680 --> 00:35:57,200 Speaker 1: getting DEALTA or the original variant, and those were pretty dangerous. 610 00:35:57,239 --> 00:35:58,799 Speaker 1: You know, if you were three hundred and fifty pounds 611 00:35:58,880 --> 00:36:00,960 Speaker 1: or if you're eighty five years old, those variants could 612 00:36:00,960 --> 00:36:04,279 Speaker 1: actually have killed you. And Amicron it's probably a little 613 00:36:04,320 --> 00:36:06,799 Speaker 1: bit less likely to do that. So those people might 614 00:36:06,840 --> 00:36:09,400 Speaker 1: have benefited. But for somebody like you or me, somebody 615 00:36:09,480 --> 00:36:13,920 Speaker 1: under fifty, which I still barely am, who's in reasonable health, 616 00:36:14,160 --> 00:36:16,600 Speaker 1: there was no benefit to the shots. And for kids. 617 00:36:16,960 --> 00:36:20,239 Speaker 1: I mean, I'm so I'm so glad it's that my 618 00:36:20,280 --> 00:36:22,120 Speaker 1: wife and I agreed about this. I'm so glad we 619 00:36:22,160 --> 00:36:26,120 Speaker 1: didn't get the shot. Amen, Alex. If there was any 620 00:36:26,200 --> 00:36:31,360 Speaker 1: actual journalism awards that were given based on legitimate journalism, 621 00:36:31,400 --> 00:36:33,239 Speaker 1: you would have won them all over the last three 622 00:36:33,320 --> 00:36:35,840 Speaker 1: years for what you have been doing. I appreciate you 623 00:36:35,880 --> 00:36:38,280 Speaker 1: being on the show so much. Have a great start 624 00:36:38,320 --> 00:36:40,520 Speaker 1: to twenty twenty three, and thanks for spending time with 625 00:36:40,600 --> 00:36:43,000 Speaker 1: us here at the end of twenty twenty two. Talk 626 00:36:43,080 --> 00:36:46,600 Speaker 1: to you in twenty twenty three. Plays up next. Senator 627 00:36:46,600 --> 00:36:50,960 Speaker 1: Bill Haggerty on the Latest craziness, Sleet Travis and Buck 628 00:36:51,040 --> 00:36:55,560 Speaker 1: Sexton on the front lines of truth. Tired of overpaying 629 00:36:55,640 --> 00:36:59,800 Speaker 1: woke wireless companies? How about this instead? Get Talk text 630 00:37:00,040 --> 00:37:03,000 Speaker 1: and blazing fast data for just thirty bucks a month. 631 00:37:03,320 --> 00:37:06,400 Speaker 1: You get this on the same network, the same towers, 632 00:37:06,400 --> 00:37:09,360 Speaker 1: with the same coverage as the other guys, but for 633 00:37:09,640 --> 00:37:13,520 Speaker 1: half the price. Merry Christmas, Happy Hanukkah. How low youah? 634 00:37:13,760 --> 00:37:17,640 Speaker 1: You can start saving today without having to sacrifice on coverage. 635 00:37:17,719 --> 00:37:20,560 Speaker 1: How do I know? I'm a customer? Listen to all 636 00:37:20,560 --> 00:37:23,720 Speaker 1: the benefits. You get a US based customer service team 637 00:37:23,920 --> 00:37:26,920 Speaker 1: to make your switch even easier. You're supporting a veteran 638 00:37:26,960 --> 00:37:29,720 Speaker 1: known business. And here's the best part. When you dial 639 00:37:29,840 --> 00:37:33,200 Speaker 1: pound two fifty today and say Clay and Buck, you'll 640 00:37:33,200 --> 00:37:36,759 Speaker 1: save an additional fifty percent off your first month dal 641 00:37:36,840 --> 00:37:39,560 Speaker 1: pound two five zero say Clay and Buck, and the 642 00:37:39,600 --> 00:37:42,200 Speaker 1: good people at Pure Talk will get you switched over 643 00:37:42,280 --> 00:37:46,440 Speaker 1: in as little as ten minutes. Dial pound two five zero, 644 00:37:46,719 --> 00:37:49,880 Speaker 1: say Clay and buck and make the switch to pure talk. Today, 645 00:37:50,400 --> 00:37:53,920 Speaker 1: pure talk is simply smarter, wireless