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 --> 00:00:07,160 Speaker 1: Sexton Show podcast. It is a third hour of Clay 3 00:00:07,200 --> 00:00:10,960 Speaker 1: in Buck right now, everybody, this is Buck solo today 4 00:00:11,119 --> 00:00:14,239 Speaker 1: and next week. As Clay is on a vacation with 5 00:00:14,320 --> 00:00:17,560 Speaker 1: his family in Italy having a great time. Are thinking 6 00:00:17,600 --> 00:00:19,520 Speaker 1: about him, but he's not thinking about us. I think 7 00:00:19,520 --> 00:00:22,480 Speaker 1: because he's eating delicious pasta or it will soon be 8 00:00:23,160 --> 00:00:26,840 Speaker 1: seeing the sites, touring the coliseum. It's a great place. 9 00:00:27,440 --> 00:00:29,680 Speaker 1: But we're excited to have him back after he is 10 00:00:29,760 --> 00:00:33,960 Speaker 1: rested and ready for the fight once again. We are 11 00:00:34,280 --> 00:00:38,479 Speaker 1: talking a lot today the Biden budget, obviously, which is 12 00:00:38,520 --> 00:00:42,680 Speaker 1: a template for what the twenty twenty four election is 13 00:00:42,680 --> 00:00:45,239 Speaker 1: going to look like on an economic side. On the 14 00:00:45,240 --> 00:00:49,720 Speaker 1: economic side of things, we also have the failure of 15 00:00:49,720 --> 00:00:53,560 Speaker 1: a Silicon Valley Bank SVB, which it was a run 16 00:00:53,600 --> 00:00:55,320 Speaker 1: on the bank and now it is a full on 17 00:00:55,400 --> 00:00:59,800 Speaker 1: collapse and failure. There's the possibility that this could lead 18 00:00:59,840 --> 00:01:06,840 Speaker 1: to some much broader contagion in the economy. That might 19 00:01:06,880 --> 00:01:09,440 Speaker 1: be a lot, might be a lot of layoffs in 20 00:01:09,480 --> 00:01:13,119 Speaker 1: the tech sector, could be some banks that have some 21 00:01:13,280 --> 00:01:17,040 Speaker 1: losses that are tied to a counterparty losses that would 22 00:01:17,040 --> 00:01:19,400 Speaker 1: be tied to what's gone on here Silicon Valley Bank, 23 00:01:19,480 --> 00:01:23,319 Speaker 1: but I think it's also just an indicator of how 24 00:01:23,440 --> 00:01:26,560 Speaker 1: quickly these things can change. Everything is fine, and then 25 00:01:26,560 --> 00:01:30,520 Speaker 1: all of a sudden, an institution with two hundred billion 26 00:01:30,560 --> 00:01:36,039 Speaker 1: dollars in assets is kaput, is finished more or less. 27 00:01:36,040 --> 00:01:38,680 Speaker 1: I mean, it's gone into receivership and the FDIC is 28 00:01:38,720 --> 00:01:42,759 Speaker 1: bailing it out or trying to get deposits to people, etc. So, 29 00:01:43,360 --> 00:01:46,080 Speaker 1: you know, it's it's one of those moments where you 30 00:01:46,360 --> 00:01:50,320 Speaker 1: gotta be you gotta understand that they're not going to 31 00:01:50,440 --> 00:01:53,680 Speaker 1: tell you about the train that's coming down the tracks, 32 00:01:54,200 --> 00:01:57,480 Speaker 1: and they won't admit that it's coming until it's too late. 33 00:01:58,200 --> 00:02:01,280 Speaker 1: You know this about the economy. You know how they 34 00:02:01,320 --> 00:02:03,160 Speaker 1: play the game, the people in charge. Do you think 35 00:02:03,200 --> 00:02:05,200 Speaker 1: they want to admit that we're heading into something that's 36 00:02:05,200 --> 00:02:09,680 Speaker 1: going to really damage your ability to pay your bills, 37 00:02:10,040 --> 00:02:13,400 Speaker 1: It's going to cut your retirement by twenty five thirty percent, 38 00:02:13,600 --> 00:02:16,440 Speaker 1: whatever it may be. I don't know. I just do 39 00:02:16,600 --> 00:02:20,720 Speaker 1: know that the people in charge are liars, and they're reckless, 40 00:02:20,760 --> 00:02:23,720 Speaker 1: and they're greedy, and they're not going to tell you 41 00:02:23,840 --> 00:02:27,200 Speaker 1: things that you should know certainly, so that the American 42 00:02:27,240 --> 00:02:30,480 Speaker 1: people can make the right decisions at the ballot box. 43 00:02:31,080 --> 00:02:34,600 Speaker 1: And we know that that means that everything between now 44 00:02:34,600 --> 00:02:37,880 Speaker 1: and election Day twenty twenty four for the Democrat align 45 00:02:37,960 --> 00:02:41,240 Speaker 1: media will be through the prism of does this help 46 00:02:41,480 --> 00:02:47,280 Speaker 1: or hurt Biden and the cause, the cause of the Democrats. 47 00:02:48,400 --> 00:02:51,880 Speaker 1: And then there's Fauci, does he help or hurt the 48 00:02:52,040 --> 00:02:57,919 Speaker 1: cause of science? You know, I've known who this guy 49 00:02:58,040 --> 00:03:01,800 Speaker 1: is all along. I just I sniffed out very early 50 00:03:02,600 --> 00:03:10,800 Speaker 1: that he is the ultimate olyaginists bureaucrat. He is the 51 00:03:10,960 --> 00:03:15,840 Speaker 1: most just shifting with whatever is gonna work for him 52 00:03:15,960 --> 00:03:21,440 Speaker 1: and his institution and trying to just play all sides 53 00:03:21,480 --> 00:03:27,680 Speaker 1: at all times. And here he is finally admitting that 54 00:03:27,840 --> 00:03:30,440 Speaker 1: he has a regret. I have not heard him say 55 00:03:31,200 --> 00:03:34,160 Speaker 1: up to this point. And remember, this is the person 56 00:03:34,320 --> 00:03:42,920 Speaker 1: who was the most vocal lockdown, mask and vaccine mandate. 57 00:03:43,880 --> 00:03:48,560 Speaker 1: Little Fauci was somebody that thought it was fair and 58 00:03:48,760 --> 00:03:54,320 Speaker 1: necessary and righteous to make you get a shot or 59 00:03:54,480 --> 00:03:58,360 Speaker 1: get you fired from your job. Faucci would sit there 60 00:03:58,400 --> 00:04:02,760 Speaker 1: and say that's right, you have to do that or else. Now, 61 00:04:02,800 --> 00:04:05,560 Speaker 1: he wouldn't be honest about it as as that he 62 00:04:05,560 --> 00:04:08,480 Speaker 1: wouldn't be as straightforward. But that is the reality of 63 00:04:08,520 --> 00:04:12,160 Speaker 1: his thinking. You couldn't pay your bills anymore because you 64 00:04:12,160 --> 00:04:14,720 Speaker 1: didn't want a shot, you didn't need that. You were 65 00:04:14,960 --> 00:04:18,039 Speaker 1: perhaps concerned about the side effects of that they lied about. 66 00:04:19,080 --> 00:04:21,880 Speaker 1: They used to say there were no side effects. You 67 00:04:21,920 --> 00:04:25,360 Speaker 1: remember that none. And now we sit here and say, 68 00:04:25,360 --> 00:04:27,320 Speaker 1: hold on a second. They've they've had to admit that 69 00:04:27,360 --> 00:04:30,200 Speaker 1: mile Kardidis is a very real side effect that is 70 00:04:30,240 --> 00:04:35,000 Speaker 1: not common, but is real. It does happen. And you know, 71 00:04:35,080 --> 00:04:37,000 Speaker 1: I'd be the first to say, if you're young and 72 00:04:37,080 --> 00:04:39,599 Speaker 1: healthy and you have no concern about COVID, which you 73 00:04:39,640 --> 00:04:42,240 Speaker 1: should have no concern about COVID. If you're someone who's 74 00:04:42,240 --> 00:04:44,560 Speaker 1: young and healthy, you should have never had any concern 75 00:04:44,600 --> 00:04:46,680 Speaker 1: about COVID. And when I say young, you know I 76 00:04:46,680 --> 00:04:53,800 Speaker 1: mean under sixty for sure, probably under seventy. And you 77 00:04:53,880 --> 00:04:55,880 Speaker 1: look at this and you say, depending on your state 78 00:04:55,920 --> 00:04:58,040 Speaker 1: of health and weight and all the rest, but you 79 00:04:58,080 --> 00:05:02,080 Speaker 1: look at this, you say, they should be begging our forgiveness. Instead, 80 00:05:02,200 --> 00:05:07,719 Speaker 1: Fauci is out there saying that his one regret, the 81 00:05:07,839 --> 00:05:11,159 Speaker 1: one thing that he would change of all the things, 82 00:05:11,440 --> 00:05:15,160 Speaker 1: not the military members fired, not the cops, of nurses fired, 83 00:05:15,160 --> 00:05:18,440 Speaker 1: for the mandate, not locking people down at increasing depths 84 00:05:18,520 --> 00:05:25,200 Speaker 1: of despair. Not all the just disgraceful, wrong and reckless policies. 85 00:05:25,520 --> 00:05:28,720 Speaker 1: The one thing that Faucci will admit I could have 86 00:05:28,800 --> 00:05:34,920 Speaker 1: done a better job on was masks called for sooner, 87 00:05:35,279 --> 00:05:37,719 Speaker 1: play it early on when we didn't think it was 88 00:05:37,880 --> 00:05:40,279 Speaker 1: necessary to wear a mask, because we didn't have a 89 00:05:40,320 --> 00:05:45,000 Speaker 1: full appreciation of the fact of how easily this virus spreads, 90 00:05:45,000 --> 00:05:48,159 Speaker 1: and it spreads by sixty percent of the time from 91 00:05:48,160 --> 00:05:51,920 Speaker 1: asymptomatic people. Had we known that early on, we would 92 00:05:51,920 --> 00:05:56,320 Speaker 1: have been pushing for masks very much early than we were. 93 00:05:56,839 --> 00:06:01,280 Speaker 1: That's different from the idea of mandate masks, which make 94 00:06:01,360 --> 00:06:06,440 Speaker 1: people very upset. So there are two different things. Masks important, Yes, 95 00:06:06,720 --> 00:06:11,400 Speaker 1: do they work? Yes? Should we have recommended them earlier? Yes. 96 00:06:13,920 --> 00:06:16,880 Speaker 1: Everything he says is a lie. I'm gonna tell you 97 00:06:16,960 --> 00:06:20,640 Speaker 1: everything he says is not true. They're not important. The 98 00:06:20,640 --> 00:06:26,239 Speaker 1: Cochrane study the single the gold standard organization that looks 99 00:06:26,279 --> 00:06:29,160 Speaker 1: at medical data, and no one did. There's no disagreement 100 00:06:29,160 --> 00:06:32,440 Speaker 1: about that. There's no one who says, oh, our Cochrane's 101 00:06:32,440 --> 00:06:35,640 Speaker 1: there is. There's a bunch of crazy people at Cochrane. No. 102 00:06:36,240 --> 00:06:41,360 Speaker 1: The Cochrane study is the gold standard, and it came 103 00:06:41,360 --> 00:06:46,479 Speaker 1: out and said that masks do basically nothing. You know, 104 00:06:46,760 --> 00:06:48,440 Speaker 1: can you make a case that it might you know, 105 00:06:48,640 --> 00:06:52,000 Speaker 1: of out of a million COVID cases, mask wearing, you 106 00:06:52,080 --> 00:06:57,240 Speaker 1: know might stop one or two maybe, but mask wearing 107 00:06:57,320 --> 00:07:01,000 Speaker 1: does basically nothing based on the and dates that were 108 00:07:01,000 --> 00:07:06,000 Speaker 1: in place and how the mandates did nothing, nothing did 109 00:07:06,080 --> 00:07:11,760 Speaker 1: not work. Imagine that you were giving people a drug 110 00:07:13,200 --> 00:07:16,840 Speaker 1: for heart disease. Just just I think this is the 111 00:07:16,880 --> 00:07:19,560 Speaker 1: best way to put the mask thing into context. You're 112 00:07:19,560 --> 00:07:23,880 Speaker 1: giving people a drug for heart disease, and one hundred 113 00:07:23,880 --> 00:07:27,920 Speaker 1: percent of the people you gave the drug two were 114 00:07:28,120 --> 00:07:31,440 Speaker 1: having a heart attack. But your only thing that you 115 00:07:31,440 --> 00:07:33,200 Speaker 1: would say was oh no, no no, no, you don't understand. 116 00:07:33,440 --> 00:07:35,960 Speaker 1: It would have been so much worse if you didn't 117 00:07:36,000 --> 00:07:40,440 Speaker 1: have this drug. That is effectively fauciism in a nutshell. 118 00:07:41,000 --> 00:07:47,040 Speaker 1: It is unfalsifiable. It is it is a fallacy. You 119 00:07:47,160 --> 00:07:49,760 Speaker 1: cannot prove this to be wrong. How That's why the 120 00:07:49,840 --> 00:07:54,080 Speaker 1: genuflection over vaccines has always been you know, well, I'm 121 00:07:54,120 --> 00:07:57,920 Speaker 1: I'm I got six shots and I have COVID for 122 00:07:57,960 --> 00:08:01,000 Speaker 1: the for the third time. But I know that if 123 00:08:01,040 --> 00:08:04,760 Speaker 1: I if I hadn't gotten shot number six. Um, it 124 00:08:04,800 --> 00:08:11,000 Speaker 1: would be really bad based on what well their belief? 125 00:08:11,720 --> 00:08:13,880 Speaker 1: Can they prove it? No? But can I prove that 126 00:08:13,880 --> 00:08:18,280 Speaker 1: that's not true? Right? This kind of reminds me of 127 00:08:18,320 --> 00:08:22,000 Speaker 1: a what was it? I wasn't a big Cheers a 128 00:08:22,040 --> 00:08:23,920 Speaker 1: big Cheers watcher because I was kind of I was 129 00:08:23,920 --> 00:08:25,640 Speaker 1: pretty young when Cheers was out there, But I remember 130 00:08:25,680 --> 00:08:28,400 Speaker 1: that was it norm guys who was on Jeopardy or 131 00:08:28,440 --> 00:08:31,280 Speaker 1: the other guy and and they asked a question and 132 00:08:31,520 --> 00:08:34,400 Speaker 1: the you know, the answer was like Abraham Lincoln or 133 00:08:34,400 --> 00:08:38,280 Speaker 1: George Washington or something. And Nora's response on Jeopardy, you know, 134 00:08:38,280 --> 00:08:40,000 Speaker 1: he wrote it out with somebody who's never been in 135 00:08:40,000 --> 00:08:44,880 Speaker 1: my kitchen? I mean technically true. Who is somebody who's 136 00:08:44,920 --> 00:08:47,800 Speaker 1: never been in my kitchen? Yeah? Can you? I mean 137 00:08:47,920 --> 00:08:50,160 Speaker 1: is that a wrong answer? No, it's not wrong. But 138 00:08:50,320 --> 00:08:53,960 Speaker 1: is that what people are looking for? Is it crazy 139 00:08:54,000 --> 00:08:57,040 Speaker 1: to so suggest that even though there was massive spread 140 00:08:57,080 --> 00:09:00,320 Speaker 1: of COVID with no change in the data whatsoever on 141 00:09:00,640 --> 00:09:03,480 Speaker 1: as a result of masking or at this point you 142 00:09:03,480 --> 00:09:06,400 Speaker 1: can see the vaccines didn't stop any spread whatsoever. The 143 00:09:06,480 --> 00:09:09,959 Speaker 1: vaccines to stop spread were a total zero. And there's 144 00:09:09,960 --> 00:09:12,199 Speaker 1: some argument that people are making about well, maybe it 145 00:09:12,360 --> 00:09:15,240 Speaker 1: reduced some mortality at some level for the highest risk people. 146 00:09:15,440 --> 00:09:18,760 Speaker 1: And even that I've seen lots of intelligent folks say, 147 00:09:18,920 --> 00:09:22,160 Speaker 1: not really true, not not likely to have been the case. 148 00:09:22,320 --> 00:09:25,560 Speaker 1: So you're talking about essentially going from a ninety five 149 00:09:25,720 --> 00:09:29,199 Speaker 1: percent confidence in confidence level that this is going to 150 00:09:29,280 --> 00:09:35,959 Speaker 1: work to almost zero. And with that backdrop, Fouchi's only 151 00:09:36,040 --> 00:09:40,200 Speaker 1: regrett is we should have told people to mask up sooner. 152 00:09:41,520 --> 00:09:45,200 Speaker 1: Now let me say the big thing that I saw 153 00:09:45,400 --> 00:09:49,840 Speaker 1: right away where I'm telling you a switch went off 154 00:09:49,840 --> 00:09:56,360 Speaker 1: in my head when Fouchi said, masks aren't really gonna 155 00:09:56,640 --> 00:10:00,520 Speaker 1: do anything, but it might make people feel better. Remember that. 156 00:10:01,440 --> 00:10:04,400 Speaker 1: And then when it became clear Democrats wanted to mask up, 157 00:10:04,440 --> 00:10:07,240 Speaker 1: they wanted to put the you know, the COVID burka 158 00:10:07,320 --> 00:10:10,920 Speaker 1: on their face when they wanted to do that, and 159 00:10:11,040 --> 00:10:13,360 Speaker 1: it became a political symbol and a symbol of resistance 160 00:10:13,400 --> 00:10:15,400 Speaker 1: against Trump, nothing to do with the virus. And he 161 00:10:15,480 --> 00:10:18,840 Speaker 1: knew that's where the political winds were blowing. And he 162 00:10:18,920 --> 00:10:20,920 Speaker 1: knew that his power was always going to be limited 163 00:10:20,920 --> 00:10:25,680 Speaker 1: as long as freethinking constitutionalist conservatives exist in America. So 164 00:10:25,760 --> 00:10:30,440 Speaker 1: he knew he was Team Democrat. All along. Then he said, well, 165 00:10:30,640 --> 00:10:33,800 Speaker 1: I lied about the effectiveness, and you check check me 166 00:10:33,840 --> 00:10:35,880 Speaker 1: on this one. You know I'm telling the truth. Fauci 167 00:10:36,000 --> 00:10:39,600 Speaker 1: said that he lied about the effectiveness of masks because 168 00:10:39,600 --> 00:10:44,559 Speaker 1: he was worried that the high quality masks would be 169 00:10:44,920 --> 00:10:48,120 Speaker 1: would would be gone and then healthcare workers wouldn't have them. 170 00:10:48,760 --> 00:10:54,880 Speaker 1: That is the most obvious, after the fact, bullcrap justification 171 00:10:55,360 --> 00:11:00,160 Speaker 1: for changing his story. I have you could ever imagine. 172 00:11:00,600 --> 00:11:03,200 Speaker 1: And first of all, keep in mind, he admits that 173 00:11:03,240 --> 00:11:06,600 Speaker 1: he lied to all of you at the start of 174 00:11:06,640 --> 00:11:10,480 Speaker 1: a pandemic on a matter of public health, and he 175 00:11:10,600 --> 00:11:17,640 Speaker 1: doesn't apologize for that. That is not the regret, you know, 176 00:11:18,559 --> 00:11:21,360 Speaker 1: that is not the regret. The regret is that he 177 00:11:21,400 --> 00:11:28,120 Speaker 1: could have pushed for masks even sooner. He is an extremist. 178 00:11:28,160 --> 00:11:31,280 Speaker 1: I mean, this guy is the equivalent of you know, 179 00:11:31,600 --> 00:11:39,760 Speaker 1: COVID lockdown, masking Taliban. There's no reasoning with him. There's 180 00:11:39,960 --> 00:11:42,720 Speaker 1: nothing you can say about, you know, about the situation 181 00:11:42,720 --> 00:11:46,280 Speaker 1: that will change his mind because he knows his who 182 00:11:46,360 --> 00:11:48,640 Speaker 1: is who is Anthony Faucci. And what about all of 183 00:11:48,640 --> 00:11:53,920 Speaker 1: his colleagues, What about all the little cowards that work 184 00:11:54,000 --> 00:11:59,640 Speaker 1: at Naiad National Institute for allergy and infectious disease. I 185 00:11:59,640 --> 00:12:01,600 Speaker 1: can't be I even know that acronym, but have been 186 00:12:01,600 --> 00:12:03,959 Speaker 1: studying Fauchi for so long I do. Which is part 187 00:12:04,000 --> 00:12:06,400 Speaker 1: of the National Institutes of Health, which is NIH, and 188 00:12:06,440 --> 00:12:08,680 Speaker 1: all the bureaucrats at the CDC, at all the rest 189 00:12:08,679 --> 00:12:11,920 Speaker 1: of it Biden voters, by the way, across the board. 190 00:12:13,120 --> 00:12:16,360 Speaker 1: You know, you look at like Hillary Clinton, I think, 191 00:12:16,440 --> 00:12:21,280 Speaker 1: got ninety seven percent of federal government dollars in the 192 00:12:21,320 --> 00:12:25,839 Speaker 1: twenty sixteen donation election cycle. She got ninety seven percent 193 00:12:25,880 --> 00:12:30,000 Speaker 1: of donations. That's across the entirety of the federal bureaucracy, 194 00:12:30,480 --> 00:12:34,079 Speaker 1: that includes the CDC, that includes the NIH. These were 195 00:12:34,120 --> 00:12:39,000 Speaker 1: all Biden voters at all of these places, and they 196 00:12:39,240 --> 00:12:44,040 Speaker 1: did enormous damage to our economy, to our psychology, to 197 00:12:44,120 --> 00:12:47,240 Speaker 1: the rule of law, to the Constitution. And I think 198 00:12:47,240 --> 00:12:51,360 Speaker 1: it is just so fitting that the only regret that 199 00:12:51,480 --> 00:12:57,520 Speaker 1: the High Priest Pope Fauci himself of Covidianism, the only 200 00:12:57,559 --> 00:13:01,000 Speaker 1: regret he has is that he would have pushed this 201 00:13:01,080 --> 00:13:07,640 Speaker 1: crap that doesn't work even sooner. It's actually perfect In 202 00:13:07,679 --> 00:13:10,520 Speaker 1: case you were wondering who this guy really is. Even 203 00:13:10,559 --> 00:13:13,960 Speaker 1: at this point, his whole thing is I was right 204 00:13:14,000 --> 00:13:17,040 Speaker 1: about everything. Everyone should have listened to me. I did 205 00:13:17,080 --> 00:13:20,680 Speaker 1: everything right. I'm amazing. He was so drunk with power. 206 00:13:21,000 --> 00:13:25,640 Speaker 1: He has no self reflection whatsoever. Neither do any of 207 00:13:25,640 --> 00:13:29,280 Speaker 1: the Democrats who pushed this stuff. They've convinced themselves their heroes. 208 00:13:29,320 --> 00:13:34,040 Speaker 1: They are delusional, delusional. This is what we're dealing with. 209 00:13:34,080 --> 00:13:36,360 Speaker 1: And they're not done by the way. I just was 210 00:13:36,360 --> 00:13:38,880 Speaker 1: told to wear a mask on Monday. I am still 211 00:13:39,440 --> 00:13:44,160 Speaker 1: fuming over this. I am still fuming over being shouted 212 00:13:44,240 --> 00:13:46,719 Speaker 1: out to put a mask on. Well, what is the 213 00:13:46,760 --> 00:13:49,199 Speaker 1: basis of think about this for a second, because what 214 00:13:50,000 --> 00:13:53,400 Speaker 1: because everybody else in there is going about the rest 215 00:13:53,440 --> 00:13:57,000 Speaker 1: of their lives entirely unmasked everywhere else in the city 216 00:13:57,040 --> 00:14:02,000 Speaker 1: of Miami, and we're supposed to think this is slowing 217 00:14:02,000 --> 00:14:06,400 Speaker 1: the spread of COVID. But it's a you know, it's 218 00:14:06,400 --> 00:14:10,640 Speaker 1: a private university medical center. It's run the head of 219 00:14:10,640 --> 00:14:14,319 Speaker 1: the U Miami system, as I mentioned, is this former 220 00:14:14,480 --> 00:14:18,120 Speaker 1: who official you can't make the stuff up and Health 221 00:14:18,160 --> 00:14:20,280 Speaker 1: Minister of Mexico. I, like I said, I'm sure he 222 00:14:20,320 --> 00:14:25,080 Speaker 1: did a phenomenal job there, and here we are still 223 00:14:25,120 --> 00:14:28,080 Speaker 1: continuing on the U Miami system. So many other hospitals. 224 00:14:28,120 --> 00:14:29,680 Speaker 1: I know a lot of you said, the VA system 225 00:14:29,720 --> 00:14:35,000 Speaker 1: still requires masks, undermining science, undermining the faith that people 226 00:14:35,040 --> 00:14:40,040 Speaker 1: can have in doctors, nurses, medical medical professionals. Because when 227 00:14:40,040 --> 00:14:42,720 Speaker 1: anyone tells you I need you to mask up for 228 00:14:42,760 --> 00:14:47,080 Speaker 1: safety reasons, they're making a jackass of themselves. That is 229 00:14:47,080 --> 00:14:50,920 Speaker 1: the truth. You all know how woke active is sees 230 00:14:50,960 --> 00:14:54,360 Speaker 1: control of America's schools. Now, a group of investment firms 231 00:14:54,360 --> 00:14:57,080 Speaker 1: that Americans and trust with our pensions and retirements are 232 00:14:57,080 --> 00:15:00,680 Speaker 1: playing woke politics with your money without our knowledge or consent. 233 00:15:01,080 --> 00:15:04,640 Speaker 1: A few large investment firms names you know that control 234 00:15:04,800 --> 00:15:07,600 Speaker 1: trillions of dollars of your money are using those dollars 235 00:15:07,600 --> 00:15:11,000 Speaker 1: to advance their woke ideology through a progressive social scoring 236 00:15:11,040 --> 00:15:15,680 Speaker 1: program called ESG. They claim it promotes corporate responsibility. What 237 00:15:15,760 --> 00:15:19,000 Speaker 1: they're really doing is using americans hard earned money to 238 00:15:19,000 --> 00:15:23,160 Speaker 1: finance their political agenda, forcing businesses to comply or else. 239 00:15:23,640 --> 00:15:26,240 Speaker 1: Some state leaders are fighting back and more are joining, 240 00:15:26,440 --> 00:15:29,280 Speaker 1: letting those investment firms know they can't play politics with 241 00:15:29,320 --> 00:15:32,720 Speaker 1: our pensions. They can either do their jobs, maximize returns 242 00:15:32,720 --> 00:15:35,760 Speaker 1: for shareholders, or get lost. To learn more, go to 243 00:15:35,800 --> 00:15:39,480 Speaker 1: Consumers Research dot org They've been defending consumers against fraud 244 00:15:39,520 --> 00:15:43,320 Speaker 1: and abuse for decades and still are That's consumers Research 245 00:15:43,480 --> 00:15:46,440 Speaker 1: dot org to learn more about their mission to protect 246 00:15:46,520 --> 00:15:51,040 Speaker 1: consumers from woke investment firms. Welcome back, thanks for rolling 247 00:15:51,120 --> 00:15:53,640 Speaker 1: here with the Clan Buck. This is a Buck coming 248 00:15:53,680 --> 00:15:57,120 Speaker 1: to you today and we have a bunch of calls 249 00:15:57,160 --> 00:15:59,000 Speaker 1: lit up eight hundred two A two to A to 250 00:15:59,040 --> 00:16:02,280 Speaker 1: A two. Also, want to tell you I had some 251 00:16:02,400 --> 00:16:06,720 Speaker 1: great chats this week deep dive podcasts. Liz Wheeler, A 252 00:16:06,720 --> 00:16:08,760 Speaker 1: lot of you will know her work. She is. She 253 00:16:08,960 --> 00:16:13,880 Speaker 1: is fierce, very insightful. She joined me. Matthew Marsden, an 254 00:16:13,920 --> 00:16:17,200 Speaker 1: actor from He was in Blackhawk Down, he was in 255 00:16:18,120 --> 00:16:21,000 Speaker 1: Resident Evil. He's been in a whole bunch of movies. 256 00:16:21,040 --> 00:16:26,360 Speaker 1: You'd know. He was in the Atlas Shrugged movie. So 257 00:16:26,800 --> 00:16:29,960 Speaker 1: he we had deep dives to hear them. You got 258 00:16:29,960 --> 00:16:32,320 Speaker 1: to subscribe to the the clayon Buck podcast. That's where they live. 259 00:16:32,440 --> 00:16:34,680 Speaker 1: So just on the iheartapp wherever you get your podcast, 260 00:16:34,680 --> 00:16:37,600 Speaker 1: subscribe to the Clay Travis and Buck Sexton show. Also, 261 00:16:37,640 --> 00:16:39,520 Speaker 1: I put video up of them. If you go to 262 00:16:39,600 --> 00:16:43,760 Speaker 1: YouTube dot com slash buck Sexton and subscribe, you can 263 00:16:43,760 --> 00:16:46,920 Speaker 1: see the whole videos. Of those, please go check them 264 00:16:46,960 --> 00:16:49,400 Speaker 1: out also on Rumble, same thing. If you're a Rumble person, 265 00:16:49,920 --> 00:16:53,560 Speaker 1: just search for Buck Sexton show. We put the Deep 266 00:16:53,560 --> 00:16:57,360 Speaker 1: Dives up there. You should definitely check them out. Really 267 00:16:57,400 --> 00:17:00,120 Speaker 1: interesting talking to them this week, and I've got some 268 00:17:00,200 --> 00:17:02,520 Speaker 1: great ones already lined up for next week. So it's 269 00:17:02,560 --> 00:17:08,480 Speaker 1: kind of an informal chat um. We have Steven Cincinnati, Steve, 270 00:17:08,560 --> 00:17:13,400 Speaker 1: what's going on? I love you guys show, Thank you're 271 00:17:13,680 --> 00:17:17,320 Speaker 1: you're doing Rush Proud. Let's try and if if this 272 00:17:17,359 --> 00:17:19,560 Speaker 1: Hospital of Miami and the VA get is so long 273 00:17:19,640 --> 00:17:25,560 Speaker 1: about masks, how can you trust them with anything they say? Medical? Look, 274 00:17:26,200 --> 00:17:28,240 Speaker 1: this is why I know I'm with you on this, Steve. 275 00:17:28,359 --> 00:17:30,680 Speaker 1: I mean I I sit there and you know when 276 00:17:30,680 --> 00:17:33,399 Speaker 1: a doctor sits there and wants to have a conversation 277 00:17:33,400 --> 00:17:35,960 Speaker 1: with me, it has a big old and ninety five 278 00:17:36,040 --> 00:17:37,800 Speaker 1: mask on. I'm just looking at I'm like, what are 279 00:17:37,800 --> 00:17:41,879 Speaker 1: you doing? What is this? Like? Do you do you not? 280 00:17:42,160 --> 00:17:45,679 Speaker 1: Are you not able to use reason, logic and and 281 00:17:45,840 --> 00:17:49,360 Speaker 1: just critical thinking to understand how stupid this is? But 282 00:17:49,920 --> 00:17:53,800 Speaker 1: it's become a virtue signal. And it's really tough to 283 00:17:53,800 --> 00:17:57,000 Speaker 1: get rid of gun owners out there. You know how 284 00:17:57,040 --> 00:17:59,880 Speaker 1: expensive AMMO has become I know how expensive it is. 285 00:18:00,160 --> 00:18:03,520 Speaker 1: Just like everything that's been affected by inflation and supply 286 00:18:03,680 --> 00:18:06,560 Speaker 1: chain issues, the cost of AMMO is up double digits, 287 00:18:06,840 --> 00:18:08,920 Speaker 1: makes it all the more expensive to train and keep 288 00:18:08,960 --> 00:18:11,280 Speaker 1: your skills sharp for the range. Did you know you 289 00:18:11,280 --> 00:18:14,960 Speaker 1: can train without ammunition at your home using something called 290 00:18:14,960 --> 00:18:18,480 Speaker 1: the Mantis X. So many of the best shooters now 291 00:18:18,520 --> 00:18:20,919 Speaker 1: do the majority of their training with something called dry 292 00:18:20,920 --> 00:18:24,600 Speaker 1: fire practice at home. That's what mantis X is. A 293 00:18:24,640 --> 00:18:28,040 Speaker 1: firearms training system that is a no ammo, all electronic 294 00:18:28,080 --> 00:18:31,040 Speaker 1: way to improve your shooting accuracy. All the mantis X 295 00:18:31,080 --> 00:18:33,080 Speaker 1: does is it attaches to your firearm like a weapon 296 00:18:33,160 --> 00:18:35,720 Speaker 1: light and then gives you data driven real time feedback 297 00:18:35,720 --> 00:18:38,800 Speaker 1: and your technique guides you through drills and courses. Ninety 298 00:18:38,800 --> 00:18:40,879 Speaker 1: four percent of shooters improved within half an hour of 299 00:18:41,000 --> 00:18:44,560 Speaker 1: using mantis X. Gun owners, you need a mantis X 300 00:18:44,880 --> 00:18:48,120 Speaker 1: start improving your shooting accuracy today. Get yours at mantis 301 00:18:48,400 --> 00:18:52,040 Speaker 1: x dot com. That's m A N T I s 302 00:18:52,560 --> 00:18:57,240 Speaker 1: X dot com. Just to matter of time. Now, finally 303 00:18:57,840 --> 00:19:03,159 Speaker 1: they say Donald Trump is going to be prosecuted. You 304 00:19:03,240 --> 00:19:05,760 Speaker 1: might have seen this. This is a story that the 305 00:19:06,000 --> 00:19:10,280 Speaker 1: media is focused on once again, I'm I'm honest, I'm serious, 306 00:19:10,560 --> 00:19:16,800 Speaker 1: I'm always honest. I'm serious about this. You have stories 307 00:19:16,840 --> 00:19:22,560 Speaker 1: about how the prosecutors are signaling a possible charge for 308 00:19:22,760 --> 00:19:26,640 Speaker 1: Donald Trump. That was the that was the headline, and 309 00:19:27,400 --> 00:19:28,879 Speaker 1: this is what you need to know. This is what 310 00:19:28,920 --> 00:19:30,600 Speaker 1: you need to know about this. Actually, first of all, 311 00:19:30,640 --> 00:19:33,640 Speaker 1: the media's excitement over this, they never get tired of it. 312 00:19:34,480 --> 00:19:37,760 Speaker 1: I think there must have been at this point at 313 00:19:37,840 --> 00:19:45,560 Speaker 1: least dozens, perhaps scores, maybe hundreds of news cycles where 314 00:19:45,680 --> 00:19:49,720 Speaker 1: a lot of people in the lib media have been 315 00:19:50,000 --> 00:19:54,160 Speaker 1: effectively having a little party woo party where they're so 316 00:19:54,280 --> 00:19:57,439 Speaker 1: excited that Donald Trump is going to be prosecuted. I 317 00:19:57,480 --> 00:20:01,280 Speaker 1: think it has been at least, you know, I don't know, 318 00:20:01,600 --> 00:20:04,040 Speaker 1: probably like a hundred days something like that. There's been 319 00:20:04,080 --> 00:20:06,000 Speaker 1: so many of them. It's any moment now. And that's 320 00:20:06,000 --> 00:20:09,960 Speaker 1: not even really including the Russia collusion, steady drumbeat of 321 00:20:10,040 --> 00:20:13,280 Speaker 1: eventually he'll be prosecuted. I mean, any moment now, he's 322 00:20:13,280 --> 00:20:16,280 Speaker 1: going to be prosecuted. You look at the Mara Lago raid, 323 00:20:16,840 --> 00:20:21,160 Speaker 1: you look at the Ukraine phone call, you look at 324 00:20:21,200 --> 00:20:24,880 Speaker 1: January six, you look at you know, I can't even 325 00:20:24,920 --> 00:20:27,560 Speaker 1: I can't honestly remember, off the top of my head 326 00:20:27,960 --> 00:20:32,000 Speaker 1: all of the different the allegations that by the woman 327 00:20:32,000 --> 00:20:36,240 Speaker 1: who says that Trump assaulted are in the department store 328 00:20:36,240 --> 00:20:39,000 Speaker 1: thirty years ago. I can't remember all of the things 329 00:20:39,040 --> 00:20:41,440 Speaker 1: that the media have claimed are going to lead to 330 00:20:41,520 --> 00:20:45,280 Speaker 1: criminal charges against Donald Trump. You know, his violations of 331 00:20:45,320 --> 00:20:51,480 Speaker 1: the Emoluments Clause, the Sacred Emoluments Clause, which every single 332 00:20:51,560 --> 00:20:55,080 Speaker 1: journal who talked about had to google and read about 333 00:20:55,119 --> 00:20:57,680 Speaker 1: for a few minutes to know what it was before 334 00:20:57,680 --> 00:21:03,199 Speaker 1: they are outraged, I tell you, outraged. Worth remembering. The 335 00:21:03,240 --> 00:21:08,600 Speaker 1: Washington Post did a whole story No interest in Hunter 336 00:21:08,640 --> 00:21:14,800 Speaker 1: Biden getting paid by corrupt Ukrainian oligarchs for obvious access 337 00:21:14,800 --> 00:21:16,760 Speaker 1: to his dad, or millions of dollars going to Hunter 338 00:21:16,800 --> 00:21:22,359 Speaker 1: Biden from Chinese Communist party fronts for trying to sway 339 00:21:22,760 --> 00:21:26,320 Speaker 1: Biden foreign policy. No interest in that they did. However, 340 00:21:26,400 --> 00:21:29,119 Speaker 1: at the Washington Post when Trump was in office, write 341 00:21:29,119 --> 00:21:33,199 Speaker 1: a piece about how the Trump Hotel, which was a 342 00:21:33,240 --> 00:21:36,159 Speaker 1: great place, and a lot of you whoever made your 343 00:21:36,200 --> 00:21:38,080 Speaker 1: way through there, you know what I'm talking about. Some 344 00:21:38,240 --> 00:21:40,280 Speaker 1: of you saw me there. It's always so nice. Hey, Buck, 345 00:21:40,320 --> 00:21:42,280 Speaker 1: I'm like, hey, what's up? We talk and hang out. 346 00:21:42,280 --> 00:21:45,280 Speaker 1: When I used to live in DC, the Trump Hotel 347 00:21:45,320 --> 00:21:47,560 Speaker 1: was a really fun spot and you'd see you know, 348 00:21:47,560 --> 00:21:49,520 Speaker 1: you'd see everybody you know rolling through there. It was 349 00:21:49,560 --> 00:21:54,840 Speaker 1: really good times. But they said that the foreign diplomats, 350 00:21:56,160 --> 00:21:59,719 Speaker 1: they just focused on foreign diplomats who were eating at 351 00:21:59,760 --> 00:22:03,320 Speaker 1: the Trump Hotel bar and eating at the restaurant that 352 00:22:03,480 --> 00:22:05,560 Speaker 1: because that money was going to the Trump Hotel and 353 00:22:05,600 --> 00:22:09,840 Speaker 1: eventually going to some percentage of ownership that Donald Trump 354 00:22:09,880 --> 00:22:14,760 Speaker 1: himself there was, that was an emolument's violation and really 355 00:22:14,880 --> 00:22:17,119 Speaker 1: was I know this sounds crazy and it was crazy, 356 00:22:17,160 --> 00:22:19,280 Speaker 1: but this is the kind of argumentation that they would 357 00:22:19,320 --> 00:22:27,159 Speaker 1: deploy Donald because the Minister for Finance or you know, 358 00:22:27,200 --> 00:22:31,760 Speaker 1: the second deputy secretary of the Finnish Embassy in DC 359 00:22:32,920 --> 00:22:38,240 Speaker 1: had some bacon strips flombade in front of him and 360 00:22:38,359 --> 00:22:42,119 Speaker 1: a couple of Johnny Walker, you know, Johnny Walker and 361 00:22:42,160 --> 00:22:46,280 Speaker 1: Coax or something that that was an emoluments clause violation 362 00:22:46,320 --> 00:22:50,240 Speaker 1: because a foreigner was was was funneling money to Donald Trump. 363 00:22:51,080 --> 00:22:53,080 Speaker 1: Never mind like what is the cost of this food, 364 00:22:53,440 --> 00:22:55,880 Speaker 1: what actually goes to the restaurant, what is the ownership 365 00:22:55,880 --> 00:22:59,439 Speaker 1: in the and also is the guy said there like 366 00:22:59,520 --> 00:23:02,919 Speaker 1: I will like the does the German Minister of finance 367 00:23:02,960 --> 00:23:06,000 Speaker 1: say if Donald Trump doesn't signs a trisy, I will not. 368 00:23:06,280 --> 00:23:13,119 Speaker 1: It's this cheeseburger. It was insane, it was crazy, but 369 00:23:13,359 --> 00:23:18,000 Speaker 1: that's where they were. They're crazy still. The criminal charge 370 00:23:18,080 --> 00:23:21,160 Speaker 1: that any moment now Trump has been invited to testify 371 00:23:21,240 --> 00:23:23,320 Speaker 1: in front of the grand jury. That's the big story. 372 00:23:23,840 --> 00:23:28,199 Speaker 1: The criminal charge that they're going with is failure to 373 00:23:28,320 --> 00:23:33,840 Speaker 1: report campaign finance related issue, not even a contribution, an expenditure, 374 00:23:35,359 --> 00:23:41,520 Speaker 1: failure to report the expenditure to porn star Stormy Daniels. 375 00:23:42,200 --> 00:23:44,560 Speaker 1: I'm serious. This is what they're they're going with again, 376 00:23:45,359 --> 00:23:47,800 Speaker 1: and and it's exhausting, right. I know for a lot 377 00:23:47,840 --> 00:23:52,480 Speaker 1: of you, the thought process I share it. It's I mean, 378 00:23:52,520 --> 00:23:55,080 Speaker 1: come on, libs, like, can you just let it go? 379 00:23:55,600 --> 00:23:58,400 Speaker 1: Just let it to give you a sense of how 380 00:23:58,480 --> 00:24:00,480 Speaker 1: crazy this is. This is the man hat and district 381 00:24:00,480 --> 00:24:03,840 Speaker 1: attorney Okay, the district attorney, Alvin Bragg for the biggest 382 00:24:03,880 --> 00:24:07,240 Speaker 1: city in America, is making it a focus of his 383 00:24:07,400 --> 00:24:10,640 Speaker 1: office to try to come up with a criminal charge 384 00:24:11,119 --> 00:24:16,560 Speaker 1: against Donald Trump over campaign finance from twenty sixteen. Okay, 385 00:24:16,680 --> 00:24:21,520 Speaker 1: it's twenty twenty three. Last time I checked, but in 386 00:24:21,600 --> 00:24:27,200 Speaker 1: twenty sixteen, and they're even trying to find their argument 387 00:24:27,240 --> 00:24:32,120 Speaker 1: rests on a way to make a misdemeanor into a felony. 388 00:24:32,800 --> 00:24:37,480 Speaker 1: This is a misdemeanor at worse, at worst a misdemeanor. 389 00:24:38,040 --> 00:24:40,800 Speaker 1: But they're saying, oh, well, because of the special circumstances, 390 00:24:40,800 --> 00:24:44,959 Speaker 1: we think it should be considered a felony. What it 391 00:24:45,119 --> 00:24:50,520 Speaker 1: is the weakest garbage legally you can imagine. But why 392 00:24:50,560 --> 00:24:53,640 Speaker 1: am I talking about a one? They may do it. 393 00:24:54,800 --> 00:24:58,040 Speaker 1: You've noticed this, whether it's Trump or January six protesters, 394 00:24:58,560 --> 00:25:03,560 Speaker 1: or you know, you name it. The nue issue for 395 00:25:03,680 --> 00:25:08,480 Speaker 1: the criminal justice system if if you have a Republican 396 00:25:10,160 --> 00:25:13,160 Speaker 1: or a prominent conservative, or an issue that touches on 397 00:25:13,320 --> 00:25:16,480 Speaker 1: those politics, which is a whole lot of things in 398 00:25:16,520 --> 00:25:20,359 Speaker 1: New York in DC, you do not get a fair trial. 399 00:25:21,320 --> 00:25:23,840 Speaker 1: If you're a Republican politician and there is a charge 400 00:25:23,840 --> 00:25:26,879 Speaker 1: against you, you are not getting a fair trial. And 401 00:25:26,960 --> 00:25:28,720 Speaker 1: if you're Donald Trump, you are certainly not going to 402 00:25:28,800 --> 00:25:33,240 Speaker 1: get a fair trial. These have become effectively show trials 403 00:25:33,280 --> 00:25:38,400 Speaker 1: because the jury pool is so delusional and so enraged 404 00:25:38,400 --> 00:25:43,480 Speaker 1: by the constant propaganda from the Democrat allied media that 405 00:25:43,560 --> 00:25:47,840 Speaker 1: they could they could charge Trump with anything, and they 406 00:25:47,840 --> 00:25:50,800 Speaker 1: would probably get a conviction. I mean they could charge 407 00:25:51,240 --> 00:25:56,200 Speaker 1: they could charge Donald Trump with, you know, stealing Blackbeard's 408 00:25:56,200 --> 00:25:59,280 Speaker 1: Golden treasurer or something from back in the high age 409 00:25:59,280 --> 00:26:02,200 Speaker 1: of piracy, right every they you know, they doesn't matter, 410 00:26:02,960 --> 00:26:05,639 Speaker 1: It doesn't matter. They could charge him with any crime 411 00:26:05,680 --> 00:26:07,639 Speaker 1: you could come up with, and they could find a 412 00:26:07,720 --> 00:26:09,720 Speaker 1: jury of New Yorkers who would say, oh my gosh, 413 00:26:09,760 --> 00:26:16,440 Speaker 1: Donald Trump, He's a unique threat to our democracy. So yeah, yeah, 414 00:26:16,480 --> 00:26:20,960 Speaker 1: that's that's what we're actually dealing with here. And it 415 00:26:20,960 --> 00:26:24,160 Speaker 1: does so much damage to the rule of law. It's 416 00:26:24,160 --> 00:26:29,320 Speaker 1: just so much damage to our conception of our justice system. 417 00:26:30,280 --> 00:26:33,879 Speaker 1: Right can can we trust this system? Well, not if 418 00:26:33,920 --> 00:26:37,960 Speaker 1: politics are involved. Not the way that this is going 419 00:26:38,040 --> 00:26:41,000 Speaker 1: right now. And this is why I have to tell you, 420 00:26:41,200 --> 00:26:46,960 Speaker 1: um it plays into twenty twenty four quite a bit too. Democrats, 421 00:26:47,760 --> 00:26:50,440 Speaker 1: I think are of two minds. They both despised Trump 422 00:26:50,520 --> 00:26:53,000 Speaker 1: so much that emotionally they couldn't handle him running. But 423 00:26:53,040 --> 00:26:56,280 Speaker 1: also at a at an electoral level, I think they 424 00:26:58,440 --> 00:27:01,000 Speaker 1: believe they have a better shot against Trump. Whether they 425 00:27:01,000 --> 00:27:03,240 Speaker 1: do or not, by the way, we could argue that, 426 00:27:03,960 --> 00:27:07,560 Speaker 1: but they think they have a better chance of winning 427 00:27:07,560 --> 00:27:11,000 Speaker 1: against Donald Trump, and by continue to bring all these charges, 428 00:27:11,400 --> 00:27:14,919 Speaker 1: they're poking the bear. They know that. You know, the 429 00:27:15,000 --> 00:27:17,200 Speaker 1: one way to make sure Trump stays in this thing 430 00:27:17,240 --> 00:27:19,639 Speaker 1: and gives it all he's god, is to make it 431 00:27:19,680 --> 00:27:23,919 Speaker 1: an issue of whether he'll punch back. You know, he 432 00:27:23,960 --> 00:27:28,120 Speaker 1: loves to punch back. And that's why this possible prosecution 433 00:27:28,320 --> 00:27:34,320 Speaker 1: by Bragg is just think about this. They're really doing 434 00:27:34,359 --> 00:27:38,560 Speaker 1: this right now over and the whole thing is around 435 00:27:38,600 --> 00:27:43,520 Speaker 1: whether or not a hush payment to Stormy Daniels is 436 00:27:43,560 --> 00:27:48,200 Speaker 1: a campaign expense or a personal expense. And we've actually 437 00:27:48,240 --> 00:27:52,959 Speaker 1: already seen something similar to this with John Edwards. I mean, 438 00:27:53,080 --> 00:27:56,280 Speaker 1: different circumstances in some ways, but it was and by 439 00:27:56,280 --> 00:27:58,639 Speaker 1: the way, they didn't get a conviction there because everyone's like, 440 00:27:58,680 --> 00:28:01,600 Speaker 1: well not really. And also why is the state spending 441 00:28:01,600 --> 00:28:05,360 Speaker 1: its time on this or with Trump? Doesn't matter anything 442 00:28:05,400 --> 00:28:07,760 Speaker 1: to get him and they can't. They won't give it up, 443 00:28:07,800 --> 00:28:10,520 Speaker 1: So we can't give it up, right, can't can't seed 444 00:28:10,640 --> 00:28:13,280 Speaker 1: the battlefield to the other side just because they're so 445 00:28:13,359 --> 00:28:19,640 Speaker 1: much more committed. They're maniacal about this guy, maniacal. Every 446 00:28:19,680 --> 00:28:23,040 Speaker 1: family has a day facto photographer, right, and my family 447 00:28:23,119 --> 00:28:26,439 Speaker 1: was my dad, somebody with that patience and determination to 448 00:28:26,560 --> 00:28:30,240 Speaker 1: organize the group photos. You know, heard everybody together and 449 00:28:30,440 --> 00:28:33,480 Speaker 1: capture those memorable moments like a baby's first steps or 450 00:28:33,520 --> 00:28:36,200 Speaker 1: blowing out candles on a birthday cake. Like I said, 451 00:28:36,200 --> 00:28:38,760 Speaker 1: in my family, it's my dad speed. He had those 452 00:28:38,840 --> 00:28:42,120 Speaker 1: video cameras velcro to his hands for years during Christmas 453 00:28:42,160 --> 00:28:45,440 Speaker 1: and Thanksgiving and birthday parties. He's got the videotape collection 454 00:28:45,480 --> 00:28:47,920 Speaker 1: to prove it as well. If you've got a stockpile 455 00:28:47,960 --> 00:28:51,760 Speaker 1: of videos or photo albums, you need to digitally transfer 456 00:28:51,800 --> 00:28:54,920 Speaker 1: them now onto computer files. That tape in those photos 457 00:28:54,920 --> 00:28:58,360 Speaker 1: are slowly disintegrating, so there's real urgency here. Rely on 458 00:28:58,520 --> 00:29:02,600 Speaker 1: Legacy Box, the company in Tennessee that has been digitally 459 00:29:02,640 --> 00:29:05,480 Speaker 1: transferring family memories for more than a decade. Now they've 460 00:29:05,520 --> 00:29:08,280 Speaker 1: got the gear and the experience to do this accurately 461 00:29:08,360 --> 00:29:10,760 Speaker 1: and with care. From the time you send them all 462 00:29:10,760 --> 00:29:12,960 Speaker 1: of your tapes and loose photos to getting them back 463 00:29:13,000 --> 00:29:16,120 Speaker 1: along with digital files, we're talking about three weeks or so. 464 00:29:16,560 --> 00:29:19,280 Speaker 1: The end result is like an episode of This Is Us, 465 00:29:19,280 --> 00:29:22,040 Speaker 1: with one great family memory after another and plenty of 466 00:29:22,040 --> 00:29:26,320 Speaker 1: emotion attached. Get fifty percent off their regular prices. Go 467 00:29:26,400 --> 00:29:29,400 Speaker 1: to legacybox dot com slash buck take advantage of these 468 00:29:29,440 --> 00:29:34,120 Speaker 1: low prices. That's legacybox dot com slash buck for fifty 469 00:29:34,160 --> 00:29:39,120 Speaker 1: percent off. Sunday hang with Clay and Box a new podcast. 470 00:29:39,280 --> 00:29:42,480 Speaker 1: Find it on the iheartapp or wherever you get your podcasts. 471 00:29:43,760 --> 00:29:45,800 Speaker 1: We're gonna be close an up shop here on Clay 472 00:29:45,880 --> 00:29:48,880 Speaker 1: an Buck, which is a great time or makes it 473 00:29:48,920 --> 00:29:52,560 Speaker 1: a great time for you to subscribe to click Traffson Box, 474 00:29:52,560 --> 00:29:56,760 Speaker 1: Sexton Show podcasts. I've got some extras in there every 475 00:29:56,760 --> 00:30:01,560 Speaker 1: week now Deep Dive podcasts and also video up on YouTube. 476 00:30:01,600 --> 00:30:06,760 Speaker 1: So subscribe on YouTube and subscribe on wherever you listen 477 00:30:06,800 --> 00:30:10,800 Speaker 1: to podcasts. Please talk to Matthew Marsden, the actor. Great guy. 478 00:30:10,880 --> 00:30:14,360 Speaker 1: By the way, he's got nine kids. I was like, wow, 479 00:30:14,720 --> 00:30:16,240 Speaker 1: I think he said nine, might have been seven. I 480 00:30:16,240 --> 00:30:19,680 Speaker 1: think it's nine. It's a lot of kids. And also 481 00:30:19,720 --> 00:30:22,040 Speaker 1: talk to Liz Wheeler, who many of you will remember 482 00:30:22,080 --> 00:30:24,040 Speaker 1: from her time on or No from her time on 483 00:30:24,080 --> 00:30:28,000 Speaker 1: TV and her show, The Liz Wheeler Show, and all 484 00:30:28,080 --> 00:30:29,959 Speaker 1: kinds of fun folks. So you definitely want to If 485 00:30:30,000 --> 00:30:32,280 Speaker 1: we had DC Drano, a lot of you know Drano 486 00:30:32,400 --> 00:30:34,640 Speaker 1: from Instagram. We had him on the Deep Dive. So 487 00:30:34,640 --> 00:30:36,200 Speaker 1: you're like, wait, Buck, I listened to radio show, which 488 00:30:36,240 --> 00:30:38,280 Speaker 1: is fantastic. Please continue to of course listen to the 489 00:30:38,280 --> 00:30:40,600 Speaker 1: wonderful radio show and all of our great affiliates. But 490 00:30:40,680 --> 00:30:43,280 Speaker 1: there's just additional content for you out there if you 491 00:30:43,320 --> 00:30:48,640 Speaker 1: subscribe to the Clay and Buck podcast feed. So we've 492 00:30:48,640 --> 00:30:50,960 Speaker 1: got a bunch of calls. I wanted to get to them. 493 00:30:51,040 --> 00:30:55,920 Speaker 1: Brett in Louisiana. What's going on, Brett, Hey, great show, 494 00:30:56,520 --> 00:30:59,760 Speaker 1: Thank you. A question, with the loss of population in 495 00:31:00,000 --> 00:31:02,760 Speaker 1: New York and California, what does that do to the 496 00:31:02,800 --> 00:31:06,800 Speaker 1: depressional seats in those states and the electorial college with 497 00:31:06,920 --> 00:31:10,720 Speaker 1: the increase in population in Texas and Florida. That's a 498 00:31:10,720 --> 00:31:16,560 Speaker 1: great question. I think California has already lost a congressional seat. 499 00:31:16,600 --> 00:31:18,760 Speaker 1: I think they lost one. I've got to check on this. 500 00:31:19,080 --> 00:31:21,240 Speaker 1: But the answer, the short answer question is, at a 501 00:31:21,280 --> 00:31:25,760 Speaker 1: certain level of population loss, after the census, there will 502 00:31:25,840 --> 00:31:32,360 Speaker 1: be a loss of some congressional congressional representation. But you know, 503 00:31:32,400 --> 00:31:34,840 Speaker 1: it takes a while, it has to go through the census, 504 00:31:34,880 --> 00:31:37,600 Speaker 1: and that's that's a process that plays out over the 505 00:31:37,960 --> 00:31:41,240 Speaker 1: course of years. The more imminent challenge for these states 506 00:31:41,600 --> 00:31:44,680 Speaker 1: is what are they gonna do with their their budget deficit? 507 00:31:44,800 --> 00:31:46,280 Speaker 1: I mean, how are they going to pay for all 508 00:31:46,280 --> 00:31:49,120 Speaker 1: this stuff that's in the state budget. I think it's 509 00:31:49,160 --> 00:31:51,040 Speaker 1: so important and thanks for calling in, Brett. I think 510 00:31:51,040 --> 00:31:55,200 Speaker 1: it's so important for everyone to remember. Florida has twenty 511 00:31:55,200 --> 00:31:59,680 Speaker 1: one million people. New York has nineteen million people. New 512 00:31:59,760 --> 00:32:03,920 Speaker 1: York has double the budget of Florida, double the budget, 513 00:32:04,520 --> 00:32:09,040 Speaker 1: twice the budget with fewer people. How is that something 514 00:32:09,080 --> 00:32:11,800 Speaker 1: that anybody could ever justify? Do you wonder where all 515 00:32:11,840 --> 00:32:16,360 Speaker 1: the money goes? This is also important in New York 516 00:32:16,720 --> 00:32:20,200 Speaker 1: the budget is the single biggest budget item is Medicaid, 517 00:32:21,120 --> 00:32:25,600 Speaker 1: so free healthcare for people at a low income level. 518 00:32:27,000 --> 00:32:31,120 Speaker 1: And then also the bureaucracies and pensions that come with 519 00:32:31,160 --> 00:32:34,720 Speaker 1: those bureaucracies where you're not actually paying for the services 520 00:32:34,760 --> 00:32:38,960 Speaker 1: you're getting, you're paying for the retirements of people of 521 00:32:39,120 --> 00:32:42,880 Speaker 1: public sector union people in states like New York that 522 00:32:43,000 --> 00:32:49,080 Speaker 1: have very favorable defined benefit programs that you know, when 523 00:32:49,080 --> 00:32:51,640 Speaker 1: people hear about some of this stuff in other parts 524 00:32:51,640 --> 00:32:54,600 Speaker 1: of the country, there have been some expose as you know, 525 00:32:54,640 --> 00:33:00,280 Speaker 1: where former Metro North Railway workers were collecting, you know, 526 00:33:00,480 --> 00:33:04,760 Speaker 1: both a pension and disability pension, and you know, and 527 00:33:04,920 --> 00:33:07,640 Speaker 1: some of these guys are making hundreds of thousands of 528 00:33:07,680 --> 00:33:10,479 Speaker 1: dollars a year to not work and do nothing. I mean, 529 00:33:10,720 --> 00:33:13,960 Speaker 1: you know, the whole thing is just crazy. So yeah, 530 00:33:13,960 --> 00:33:15,720 Speaker 1: that's how you have double the budget of a state 531 00:33:15,720 --> 00:33:18,280 Speaker 1: like Florida. That's how you have double the budget. And 532 00:33:19,960 --> 00:33:24,280 Speaker 1: so by my math, California is looking at a twenty 533 00:33:24,600 --> 00:33:31,720 Speaker 1: six billion dollars shortfall. So given that reality, Florida, the 534 00:33:31,800 --> 00:33:38,120 Speaker 1: Florida's state budget in its entirety is one hundred and 535 00:33:38,160 --> 00:33:41,000 Speaker 1: nine billion dollars in total spending and forty eight billion 536 00:33:41,040 --> 00:33:46,880 Speaker 1: dollars in general fund spending. So California is already twenty 537 00:33:46,880 --> 00:33:48,960 Speaker 1: six billion dollars in the hole for this year. Think 538 00:33:49,000 --> 00:33:53,600 Speaker 1: about that. So it's more than half the general fund 539 00:33:53,680 --> 00:33:58,280 Speaker 1: spend of a state like Florida. Greg in North Carolina, 540 00:33:58,320 --> 00:34:00,719 Speaker 1: which I talked about before, a little bit, what's going on. 541 00:34:02,400 --> 00:34:05,600 Speaker 1: I am a veteran and I received very good care 542 00:34:05,720 --> 00:34:09,319 Speaker 1: from the VA. Good people are excellent. I had a 543 00:34:09,360 --> 00:34:12,560 Speaker 1: physical not too long ago and we had to wear masks. 544 00:34:13,200 --> 00:34:15,560 Speaker 1: I asked the doctor, I said, you know these masks 545 00:34:15,640 --> 00:34:19,120 Speaker 1: really don't stop COVID and he said yes, he said 546 00:34:19,160 --> 00:34:22,000 Speaker 1: while we're hoping to cut down on clothes and flew again. 547 00:34:22,719 --> 00:34:27,120 Speaker 1: But not too long ago, my idental hygienius she had 548 00:34:27,160 --> 00:34:30,840 Speaker 1: a complete like space helmet with self breathing. She was 549 00:34:30,880 --> 00:34:34,480 Speaker 1: that scared of COVID. Well, so it's interest. First of all, 550 00:34:34,480 --> 00:34:36,720 Speaker 1: I'm glad to hear that your VA is good, Greg, 551 00:34:36,760 --> 00:34:39,080 Speaker 1: and thank you very much for your service. I hear 552 00:34:39,120 --> 00:34:43,720 Speaker 1: this a lot from veterans, that there are some vas 553 00:34:43,719 --> 00:34:46,920 Speaker 1: that are really good and some vas that are terrible. 554 00:34:47,040 --> 00:34:50,520 Speaker 1: So it's very mixed, a very mixed picture from what 555 00:34:50,640 --> 00:34:54,040 Speaker 1: I've heard from veterans all across the country. So it 556 00:34:54,120 --> 00:34:56,080 Speaker 1: is important to note that there are first of all, 557 00:34:56,080 --> 00:34:57,360 Speaker 1: I think a lot of a lot of the doctors 558 00:34:57,400 --> 00:34:59,879 Speaker 1: and nurses the VA in general are doing the best 559 00:35:00,120 --> 00:35:04,120 Speaker 1: job they can with the resources they have. But some 560 00:35:04,200 --> 00:35:05,960 Speaker 1: VA's are very good from what I'm told, and some 561 00:35:06,080 --> 00:35:09,600 Speaker 1: are really underperforming and quite poor and leave our veterans 562 00:35:09,640 --> 00:35:13,000 Speaker 1: high and dry. So it's it depends. As for the 563 00:35:13,360 --> 00:35:17,480 Speaker 1: hygenesis dental dental hygenesis, I think have always actually been 564 00:35:18,040 --> 00:35:22,640 Speaker 1: wearing masks, and it's really not about colds and flu 565 00:35:22,719 --> 00:35:25,120 Speaker 1: and all that. It's because if they're that close to you, 566 00:35:25,160 --> 00:35:26,960 Speaker 1: I mean they could literally spit in your mouth, right, 567 00:35:26,960 --> 00:35:30,359 Speaker 1: I mean they're they're the proximity as such that they're 568 00:35:30,400 --> 00:35:33,919 Speaker 1: trying to stop direct droplet transmission from you to them 569 00:35:34,200 --> 00:35:36,640 Speaker 1: because you could have splatter not to be gross, but 570 00:35:36,800 --> 00:35:40,279 Speaker 1: uh and from them to you. So yeah, sure you 571 00:35:40,320 --> 00:35:42,560 Speaker 1: know in that context, and thank you for calling ingreg 572 00:35:42,719 --> 00:35:45,160 Speaker 1: and that context, it makes some sense. But there was 573 00:35:45,200 --> 00:35:49,839 Speaker 1: a big study in Canada of dental hygenesiss and the 574 00:35:49,920 --> 00:35:54,080 Speaker 1: flu because dental hygenesis have been wearing masks for a 575 00:35:54,200 --> 00:35:56,960 Speaker 1: very long time there and very consistently. And guess what, 576 00:35:57,000 --> 00:36:02,040 Speaker 1: it found no difference between hygenesis who wore masks and 577 00:36:02,160 --> 00:36:05,960 Speaker 1: those who didn't when it came to flu levels. What 578 00:36:06,120 --> 00:36:11,319 Speaker 1: a shock to absolutely nobody. My friends, get rested up 579 00:36:11,320 --> 00:36:14,480 Speaker 1: this weekend, Spend some time with loved ones, with friends, 580 00:36:14,560 --> 00:36:17,239 Speaker 1: or just relaxing by yourself, Read a good book, hang out. 581 00:36:17,360 --> 00:36:20,160 Speaker 1: Check out Clay and Buck podcast. If you look for 582 00:36:20,200 --> 00:36:23,080 Speaker 1: something to listen to by all means, that's a good 583 00:36:23,120 --> 00:36:25,160 Speaker 1: way to do it. Got some deep dives for you, 584 00:36:25,239 --> 00:36:27,760 Speaker 1: some other fun content there. The Sunday hang with Clay 585 00:36:27,760 --> 00:36:30,000 Speaker 1: and Buck as well. We talk about non political stuff. 586 00:36:30,000 --> 00:36:32,759 Speaker 1: Great thing to listen to on your Sunday. But it's 587 00:36:32,800 --> 00:36:35,759 Speaker 1: important that you rest up and get ready to get 588 00:36:35,800 --> 00:36:38,279 Speaker 1: back into the fight once more, into the breach with 589 00:36:38,360 --> 00:36:41,160 Speaker 1: us on Monday, Clay. Like I said on vacation next week, 590 00:36:41,200 --> 00:36:43,040 Speaker 1: we missed the big guy, but I'll be with you 591 00:36:43,239 --> 00:36:49,600 Speaker 1: live every day next week. Talk to you on Monday. Everybody,