1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and buck 2 00:00:03,360 --> 00:00:08,520 Speaker 1: Sexton Show podcast. Welcome in Tuesday edition Clay Travis buck 3 00:00:08,640 --> 00:00:14,560 Speaker 1: Sexton Show, our good friend Sam Bankman freed. He of 4 00:00:14,600 --> 00:00:19,920 Speaker 1: the thirty plus billion dollar fraud has been arrested in 5 00:00:19,960 --> 00:00:23,119 Speaker 1: the Bahamas, one day after predicting that he did not 6 00:00:23,360 --> 00:00:26,560 Speaker 1: think he was going to be arrested, so that is interesting. 7 00:00:26,600 --> 00:00:31,640 Speaker 1: There is currently a congressional hearing going on. There are 8 00:00:31,640 --> 00:00:35,879 Speaker 1: as many as eight different felonies that have been levied 9 00:00:36,080 --> 00:00:41,839 Speaker 1: against him, as the indictment is just now being unsealed, 10 00:00:42,479 --> 00:00:47,239 Speaker 1: and some of those counts include wire fraud, conspiring to 11 00:00:47,320 --> 00:00:52,800 Speaker 1: defraud the United States, violating campaign finance laws. These charges 12 00:00:52,880 --> 00:00:56,200 Speaker 1: coming from the US Department of Justice's Southern District of 13 00:00:56,280 --> 00:01:00,319 Speaker 1: New York. We will talk with Andy McCarthy, who has 14 00:01:00,360 --> 00:01:05,080 Speaker 1: worked in the New York offices of the Department of Justice. 15 00:01:05,120 --> 00:01:08,120 Speaker 1: I believe in the Southern District for over twenty years. 16 00:01:08,520 --> 00:01:12,360 Speaker 1: Over twenty years he prosecuted Khali I mean, the first 17 00:01:12,680 --> 00:01:16,479 Speaker 1: World Trade Center, bomber, the Blind Shake. He's been great 18 00:01:16,520 --> 00:01:19,640 Speaker 1: as a guest. Many of you will remember his previous 19 00:01:19,720 --> 00:01:22,399 Speaker 1: hits on this program. So he will be on with 20 00:01:22,480 --> 00:01:25,440 Speaker 1: us at one thirty eastern, we'll talk with Stephen Miller 21 00:01:25,480 --> 00:01:28,840 Speaker 1: about the border and Donald Trump, maybe let him fire 22 00:01:28,880 --> 00:01:31,960 Speaker 1: back at an culter over the argument that Trump has done. 23 00:01:32,040 --> 00:01:35,040 Speaker 1: And at one o'clock will be joined by Marty McCarry, 24 00:01:35,120 --> 00:01:37,720 Speaker 1: who has a great piece in the Wall Street Journal 25 00:01:37,760 --> 00:01:43,760 Speaker 1: today which essentially says long COVID doesn't really exist. It's 26 00:01:43,800 --> 00:01:47,680 Speaker 1: mostly a fraudulent media creation based on the data and 27 00:01:47,920 --> 00:01:52,200 Speaker 1: analysis that he has seen so far. Also, the overall 28 00:01:52,240 --> 00:01:55,320 Speaker 1: inflation rate has fallen to seven point one percent. Joe 29 00:01:55,360 --> 00:01:58,279 Speaker 1: Biden is still lying and saying that your purchasing power 30 00:01:58,320 --> 00:02:00,880 Speaker 1: has grown. I don't know what in the world he 31 00:02:01,000 --> 00:02:03,160 Speaker 1: is trying to get around to, but buck what stood 32 00:02:03,160 --> 00:02:06,400 Speaker 1: out to me about the sam Bank and freed arrest 33 00:02:06,440 --> 00:02:10,400 Speaker 1: which happened around six pm Eastern in the Bahamas, and 34 00:02:10,400 --> 00:02:14,640 Speaker 1: there still will be a battle potentially over extradition. The 35 00:02:14,760 --> 00:02:18,000 Speaker 1: prosecutors in the Bahamas are actually saying that he does 36 00:02:18,080 --> 00:02:21,480 Speaker 1: not deserve bail because of fear that he might flee, 37 00:02:21,600 --> 00:02:24,520 Speaker 1: which I think is a very real fear because if 38 00:02:24,520 --> 00:02:28,000 Speaker 1: he went to a country without an extradition treaty. Frankly, 39 00:02:28,080 --> 00:02:30,480 Speaker 1: I'm surprised he didn't already go there, Buck, I mean 40 00:02:30,480 --> 00:02:31,919 Speaker 1: I think I said on the show that I thought 41 00:02:31,960 --> 00:02:33,520 Speaker 1: he would do it because I think there's a good 42 00:02:33,600 --> 00:02:35,239 Speaker 1: chance he spends the rest of his life in prison. 43 00:02:35,560 --> 00:02:39,440 Speaker 1: We can add to our list of things you gotta 44 00:02:39,520 --> 00:02:41,880 Speaker 1: know even if you're not a lawyer. Remember number one 45 00:02:42,000 --> 00:02:45,959 Speaker 1: is never talk to the FBI, not without a lawyer present. 46 00:02:46,080 --> 00:02:48,320 Speaker 1: Doesn't matter they knock on the door and say, we 47 00:02:48,360 --> 00:02:50,520 Speaker 1: think you're a superhero and you're gonna help us solve 48 00:02:50,560 --> 00:02:53,800 Speaker 1: who killed Kennedy. You do not say a word. Okay, 49 00:02:53,800 --> 00:02:56,040 Speaker 1: you don't talk the FBI. But we can add to that. 50 00:02:56,800 --> 00:02:58,880 Speaker 1: If you think that maybe you need to be in 51 00:02:58,919 --> 00:03:02,519 Speaker 1: a non extradition country, you probably want to get there 52 00:03:02,880 --> 00:03:07,320 Speaker 1: sooner than later, because the wheels of justice once they 53 00:03:07,320 --> 00:03:09,680 Speaker 1: get you, it's very hard to get away. I'm stunned 54 00:03:09,680 --> 00:03:12,440 Speaker 1: that he didn't flee, Buck, I mean, it's a delusion 55 00:03:12,520 --> 00:03:14,079 Speaker 1: on his part. I mean, he really thought that he 56 00:03:14,120 --> 00:03:16,720 Speaker 1: hadn't committed a crime. Maybe, but I can't believe that 57 00:03:16,760 --> 00:03:21,000 Speaker 1: when this thing collapsed, he didn't flee his defense and 58 00:03:21,040 --> 00:03:24,119 Speaker 1: he almost remember he was supposed to testify in front 59 00:03:24,080 --> 00:03:28,000 Speaker 1: of Chongers yesterday today his defense. At some level, I'm 60 00:03:28,000 --> 00:03:30,200 Speaker 1: sorry today, but he said he wasn't able to make 61 00:03:30,200 --> 00:03:32,080 Speaker 1: it yesterday because he was kind of busy, and I 62 00:03:32,120 --> 00:03:34,440 Speaker 1: actually made a joke on Twitter. I said, he's obviously 63 00:03:34,440 --> 00:03:37,520 Speaker 1: googling non extradition countries and then he got arrested about 64 00:03:37,520 --> 00:03:40,320 Speaker 1: four hours later. So you could argue that buck gets results. 65 00:03:40,680 --> 00:03:44,040 Speaker 1: But the point about about Sam Bankman Freed's defense right now, 66 00:03:44,200 --> 00:03:46,920 Speaker 1: I think the obvious direction is going to be that 67 00:03:47,560 --> 00:03:49,720 Speaker 1: it's really actually a version of what the FBI said 68 00:03:49,720 --> 00:03:54,520 Speaker 1: about Russia collusion. We were so stupid and so incompetent 69 00:03:54,560 --> 00:03:57,680 Speaker 1: that you can't actually blame us for having a criminal 70 00:03:57,720 --> 00:04:00,000 Speaker 1: state of mind. We didn't know. Sam Bankman Freed is 71 00:04:00,080 --> 00:04:03,520 Speaker 1: going to say I took on way too much, And look, 72 00:04:03,640 --> 00:04:05,960 Speaker 1: I don't think that's gonna fly, because you have a 73 00:04:06,000 --> 00:04:10,320 Speaker 1: fiduciary responsibility, you have a basic ethical responsibility if you're 74 00:04:10,320 --> 00:04:13,800 Speaker 1: taking literal billions of dollars from people. Yeah, some of 75 00:04:13,840 --> 00:04:16,800 Speaker 1: them are sophisticated investors. Some of them are people who 76 00:04:16,839 --> 00:04:19,279 Speaker 1: were working hourly jobs who thought the crypto was going 77 00:04:19,320 --> 00:04:21,680 Speaker 1: to secure their future, right. I mean this is you 78 00:04:21,760 --> 00:04:23,840 Speaker 1: got to think of who's being ripped off by all 79 00:04:23,880 --> 00:04:26,000 Speaker 1: this to take that money and say you're going to 80 00:04:26,080 --> 00:04:30,480 Speaker 1: hold it in crypto, effectively operating as a bank, and 81 00:04:30,520 --> 00:04:33,080 Speaker 1: then to put it into other things, including clay. This 82 00:04:33,160 --> 00:04:34,400 Speaker 1: is going to be tough when they put this to 83 00:04:34,440 --> 00:04:36,920 Speaker 1: a jury, assuming he doesn't take a plea deal two 84 00:04:37,000 --> 00:04:40,839 Speaker 1: hundred and fifty million dollars real estate portfolio and not 85 00:04:41,279 --> 00:04:44,880 Speaker 1: as investment properties so much as handing them out to himself, 86 00:04:45,080 --> 00:04:48,680 Speaker 1: his friends, his cronies, his parents. It's not gonna look good. 87 00:04:48,720 --> 00:04:50,719 Speaker 1: But he had one thing going for them all along. 88 00:04:51,240 --> 00:04:55,320 Speaker 1: He bought off the elites across the board. He bought 89 00:04:55,360 --> 00:04:59,160 Speaker 1: them off with money of retail, day to day crypto investors. 90 00:04:59,560 --> 00:05:02,880 Speaker 1: And my understanding is that he even created a much 91 00:05:02,920 --> 00:05:07,080 Speaker 1: bigger hole here by using the deposits to buy crypto 92 00:05:07,200 --> 00:05:10,680 Speaker 1: and then buying up some of those crypto assets with 93 00:05:10,800 --> 00:05:14,719 Speaker 1: money that he then used as collateral to then have 94 00:05:14,880 --> 00:05:18,280 Speaker 1: even more access to capital. I mean, this guy created 95 00:05:18,320 --> 00:05:22,240 Speaker 1: a vortex of financial destruction. I think what's gonna get 96 00:05:22,320 --> 00:05:24,600 Speaker 1: him buck is, First of all, there's going to be 97 00:05:24,640 --> 00:05:28,080 Speaker 1: people testify against him. So as soon as they arrested him, 98 00:05:28,560 --> 00:05:31,680 Speaker 1: one of my first thoughts was, they've had people flip 99 00:05:31,760 --> 00:05:35,080 Speaker 1: who are going to testify directly to his culpability to 100 00:05:35,200 --> 00:05:39,120 Speaker 1: try to alleviate whatever legal issues they may have. I'd 101 00:05:39,160 --> 00:05:41,719 Speaker 1: be stunned if they don't have some people already lined 102 00:05:41,800 --> 00:05:44,680 Speaker 1: up telling the story. But what you just hit on is, 103 00:05:44,800 --> 00:05:47,600 Speaker 1: I think going to make his I didn't know what 104 00:05:47,640 --> 00:05:50,800 Speaker 1: I was doing defense really difficult. It's one thing if 105 00:05:50,800 --> 00:05:55,479 Speaker 1: you take billions of dollars and your company goes bankrupt. Unfortunately, 106 00:05:55,720 --> 00:05:58,320 Speaker 1: that happens. There are people out there listening to us 107 00:05:58,400 --> 00:06:01,479 Speaker 1: right now who have been through investing in companies. Maybe 108 00:06:01,520 --> 00:06:03,680 Speaker 1: you even ran one that went bankrupt and had to 109 00:06:03,720 --> 00:06:07,280 Speaker 1: be dissolved. It's a messy process, but it happens. That's 110 00:06:07,279 --> 00:06:10,279 Speaker 1: the business risk. The business risk that no one knew 111 00:06:10,320 --> 00:06:13,839 Speaker 1: they were taking buck is that he was co mingling 112 00:06:13,839 --> 00:06:17,159 Speaker 1: in many ways, basically a hedge fund where he was 113 00:06:17,200 --> 00:06:20,800 Speaker 1: able to place wagers based on the money that had 114 00:06:20,880 --> 00:06:26,719 Speaker 1: been deposited with him in this FTX crypto universe. And 115 00:06:27,279 --> 00:06:29,040 Speaker 1: I thought about I was out to dinner last night 116 00:06:30,080 --> 00:06:33,400 Speaker 1: and we were talking about this sum Our friend, Tutor Dixon, 117 00:06:33,440 --> 00:06:36,480 Speaker 1: actually Michigan governor's candidate, was in town, so I was 118 00:06:36,520 --> 00:06:38,559 Speaker 1: out to dinner with her and my wife and several 119 00:06:38,600 --> 00:06:41,280 Speaker 1: other people. And she's great. By the way, I wanted 120 00:06:41,320 --> 00:06:43,240 Speaker 1: to say hi to everybody appreciates us having her on 121 00:06:43,279 --> 00:06:45,159 Speaker 1: the show to help as best we could in that 122 00:06:45,360 --> 00:06:51,200 Speaker 1: Michigan race. But you know, when you actually break it down. Sequoia, 123 00:06:51,600 --> 00:06:55,760 Speaker 1: which is among the most sophisticated venture capital funds anywhere 124 00:06:55,760 --> 00:06:57,960 Speaker 1: in the world, based out in San Francisco, I think 125 00:06:57,960 --> 00:07:00,400 Speaker 1: they were one first investors in Facebook, was maybe their 126 00:07:00,400 --> 00:07:04,000 Speaker 1: first really monumental hit, if I remember correctly, They gave 127 00:07:04,040 --> 00:07:10,760 Speaker 1: Sam Bateman Freed two hundred million dollars and his interview 128 00:07:10,800 --> 00:07:14,120 Speaker 1: with them, he was playing I believe, World of Warcraft, 129 00:07:14,440 --> 00:07:18,840 Speaker 1: like an online massive player game while that pitch meeting 130 00:07:18,960 --> 00:07:24,440 Speaker 1: was going on, and so there is an element of, hey, 131 00:07:24,880 --> 00:07:29,640 Speaker 1: you are such a disruptive force that you don't play 132 00:07:29,680 --> 00:07:34,320 Speaker 1: by usual rules. That can be seductive in Silicon Valley, 133 00:07:34,520 --> 00:07:37,160 Speaker 1: and I think he played that role too with Team 134 00:07:37,640 --> 00:07:42,120 Speaker 1: There's a lot of similarities you can draw with Elizabeth Holmes, 135 00:07:42,160 --> 00:07:45,040 Speaker 1: who was going to create, you know, doing She sounded 136 00:07:45,080 --> 00:07:47,360 Speaker 1: like she created this fake voice. He sounded like one 137 00:07:47,400 --> 00:07:49,120 Speaker 1: of the trees from the Lord of the Rings. You know, 138 00:07:49,200 --> 00:07:51,760 Speaker 1: She's like, I'm going to take all of your money 139 00:07:51,840 --> 00:07:55,320 Speaker 1: and I'm going to revolutionize blood testing. Walking around in 140 00:07:55,400 --> 00:07:58,680 Speaker 1: a black turtleneck because she's trying to evoke Steve Jobs. 141 00:07:59,000 --> 00:08:03,200 Speaker 1: She fooled some of the most connected, prominent and supposedly 142 00:08:03,240 --> 00:08:07,120 Speaker 1: wise people that you could possibly find, former four star generals. 143 00:08:07,640 --> 00:08:12,200 Speaker 1: General Madis himself, which people I think have slightly competing 144 00:08:12,280 --> 00:08:15,240 Speaker 1: views these days of Madis in a variety of context, 145 00:08:15,280 --> 00:08:18,800 Speaker 1: but service Country honorably on the board, on the board 146 00:08:18,800 --> 00:08:21,800 Speaker 1: of her company. Eight hundred million dollars of investor money 147 00:08:21,840 --> 00:08:24,880 Speaker 1: went up in smoke over Thara. No, she just got 148 00:08:24,960 --> 00:08:29,280 Speaker 1: sent to prison for eleven years, I believe, and Sonny Balwanni, 149 00:08:29,680 --> 00:08:33,280 Speaker 1: I believe her both boyfriend and really co Ceo he 150 00:08:33,360 --> 00:08:36,200 Speaker 1: got fourteen years. I think they got hit. They got 151 00:08:36,280 --> 00:08:39,400 Speaker 1: hit pretty hard. If you one of these book two 152 00:08:39,400 --> 00:08:42,360 Speaker 1: Buck bad Blood, Yeah, it's around. It's a great book 153 00:08:42,400 --> 00:08:45,200 Speaker 1: if you're fascinated by SBF and you're you want to 154 00:08:45,240 --> 00:08:47,680 Speaker 1: kind of get into this world and figure out what 155 00:08:47,880 --> 00:08:50,640 Speaker 1: is a big fraud being perpetrated in the world of business. 156 00:08:50,679 --> 00:08:53,440 Speaker 1: Look like Bad Blood is a fantastic book to put 157 00:08:53,480 --> 00:08:55,800 Speaker 1: on your your Christmas wish list. And it's one of 158 00:08:55,840 --> 00:08:57,960 Speaker 1: these moments as well, where you recognize that we have 159 00:08:58,040 --> 00:09:00,320 Speaker 1: all of these regulations. I mean, anybody who's bought a 160 00:09:00,360 --> 00:09:03,200 Speaker 1: house recently. You go through all this, you gotta find 161 00:09:03,280 --> 00:09:05,520 Speaker 1: you know, fill this out and that out, and background 162 00:09:05,600 --> 00:09:10,040 Speaker 1: check and credit check, and you know, under penalty of perjury, 163 00:09:10,080 --> 00:09:11,920 Speaker 1: you got to fill out all this information all the time. 164 00:09:12,800 --> 00:09:16,040 Speaker 1: And yet when it came to setting up billions of 165 00:09:16,080 --> 00:09:19,880 Speaker 1: dollars in what was effectively an entirely unregulated bank that 166 00:09:20,000 --> 00:09:22,679 Speaker 1: was also working, as you pointed out, as a hedge funder, 167 00:09:22,720 --> 00:09:25,760 Speaker 1: had a hedge fund arm and was doing wild stuff, 168 00:09:26,360 --> 00:09:28,880 Speaker 1: they could have figured this out sooner. This is the 169 00:09:28,920 --> 00:09:31,839 Speaker 1: point of this that I think everybody should focus in on. 170 00:09:32,200 --> 00:09:36,760 Speaker 1: Except he gave forty million dollars to Democrats officially, right, 171 00:09:36,800 --> 00:09:39,320 Speaker 1: I'm gonna get officially because they're gonna say, oh, but 172 00:09:39,360 --> 00:09:43,240 Speaker 1: he gave money to Republicans too. Okay, Look, Republican politicians 173 00:09:43,360 --> 00:09:45,840 Speaker 1: can get bought off and can be scummy as well. Clan. 174 00:09:45,960 --> 00:09:48,640 Speaker 1: I don't live in fantasy land here, But look at 175 00:09:48,640 --> 00:09:52,760 Speaker 1: where else he put money. He put money in major 176 00:09:53,120 --> 00:09:57,800 Speaker 1: left wing media organizations. It wasn't given money to Fox News, Okay. 177 00:09:57,840 --> 00:10:01,040 Speaker 1: He was given money to I think late dot com. 178 00:10:01,040 --> 00:10:03,960 Speaker 1: And he intercept in these kinds of places, the supposed 179 00:10:04,120 --> 00:10:08,640 Speaker 1: muck rakers of journalism online, giving money to climate groups, 180 00:10:08,679 --> 00:10:11,880 Speaker 1: giving money to all kinds of left wing causes, to 181 00:10:11,920 --> 00:10:17,920 Speaker 1: create effectively a shield of invincibility that would prevent anybody 182 00:10:18,000 --> 00:10:20,679 Speaker 1: from really giving any scrutiny to what he's doing. He 183 00:10:20,760 --> 00:10:24,600 Speaker 1: was meeting Clay with the regulators to tell them how 184 00:10:25,720 --> 00:10:30,480 Speaker 1: the crypto industry should be regulated. And also any normal 185 00:10:30,480 --> 00:10:33,320 Speaker 1: person would sit down with his bizarre little nerd and say, 186 00:10:33,800 --> 00:10:36,760 Speaker 1: what makes it? Why should anyone give you billions of dollars? 187 00:10:37,080 --> 00:10:39,480 Speaker 1: It's astonishing, And you know the elites that think they 188 00:10:39,520 --> 00:10:41,720 Speaker 1: should be in charge of everything. You know, the same 189 00:10:41,760 --> 00:10:43,880 Speaker 1: people to tell you to triple mask and have the 190 00:10:43,920 --> 00:10:47,199 Speaker 1: five Ukraine flags and to use preferred pronouns. At the 191 00:10:47,320 --> 00:10:49,800 Speaker 1: very top of that apparatus, Clay, they thought Sam Bankman 192 00:10:49,880 --> 00:10:53,040 Speaker 1: Freed was a genius, the world's first trillionaire in the making. 193 00:10:53,160 --> 00:10:55,880 Speaker 1: They said, That's what they said. I also think this 194 00:10:55,920 --> 00:10:59,000 Speaker 1: has to do with crypto itself, because I think there's 195 00:10:59,040 --> 00:11:02,720 Speaker 1: a lot of insecure already out there about crypto, and 196 00:11:02,960 --> 00:11:07,080 Speaker 1: nobody wants to be in Silicon Valley, the old guy 197 00:11:07,160 --> 00:11:11,360 Speaker 1: who doesn't understand the new thing. So there were and 198 00:11:11,520 --> 00:11:16,800 Speaker 1: remains I think a great deal of love for all 199 00:11:16,840 --> 00:11:19,160 Speaker 1: these things that frankly to me, never made a lot 200 00:11:19,160 --> 00:11:21,120 Speaker 1: of sense. Crypto never made a lot of sense. I 201 00:11:21,200 --> 00:11:24,240 Speaker 1: understand it, I understand the concept of it. Didn't make 202 00:11:24,240 --> 00:11:27,840 Speaker 1: a lot of sense to me. This these non fungible tokens, 203 00:11:27,880 --> 00:11:31,160 Speaker 1: the whole metaverse, Like, I just don't buy into all 204 00:11:31,280 --> 00:11:33,320 Speaker 1: three of these things that have been sort of the 205 00:11:33,320 --> 00:11:35,160 Speaker 1: coin of the realm for lack of a better way 206 00:11:35,160 --> 00:11:38,079 Speaker 1: to describe it. In Silicon Valley. Well, there's there's Bitcoin, 207 00:11:38,240 --> 00:11:40,840 Speaker 1: which is the first and the one that has had 208 00:11:40,880 --> 00:11:45,560 Speaker 1: the most wide spread buy in. And people always argue, well, 209 00:11:45,559 --> 00:11:47,360 Speaker 1: what is a dollar really? A dollar is money just 210 00:11:47,360 --> 00:11:49,920 Speaker 1: because people say it. Okay, but you need to get 211 00:11:49,960 --> 00:11:52,880 Speaker 1: to that critical mass of everybody back said everyone believes, 212 00:11:53,440 --> 00:11:57,640 Speaker 1: and there is an infrastructure in place to ensure trust 213 00:11:57,720 --> 00:12:02,040 Speaker 1: and to ensure the backing of a government. Effectively, this 214 00:12:02,200 --> 00:12:06,040 Speaker 1: notions you're going to create this entirely non governmental currency. 215 00:12:06,120 --> 00:12:08,000 Speaker 1: I think that's where some of the starts to fall apart. 216 00:12:08,280 --> 00:12:11,640 Speaker 1: But Clay people were creating joke coins, yeah, and then 217 00:12:11,760 --> 00:12:14,000 Speaker 1: running them up. If you did this with a stock, 218 00:12:14,040 --> 00:12:17,960 Speaker 1: If I created the Clay and Buck Smoothie Company to 219 00:12:18,040 --> 00:12:21,520 Speaker 1: make delicious smoothies, and I made sure that I pumped 220 00:12:21,520 --> 00:12:23,800 Speaker 1: and dumped this doesn't actually exist, just so everyone clear. 221 00:12:23,960 --> 00:12:28,480 Speaker 1: But I pumped and dumped the shares of that small company, 222 00:12:28,920 --> 00:12:30,880 Speaker 1: I would go to prison, right it would be. But 223 00:12:30,960 --> 00:12:35,120 Speaker 1: if I create the Smoothie coin and tell everybody I 224 00:12:35,120 --> 00:12:36,760 Speaker 1: think this is going to be the currency of the 225 00:12:36,760 --> 00:12:39,360 Speaker 1: realm and the future, and you know, I can run 226 00:12:39,400 --> 00:12:42,560 Speaker 1: that thing to the moon and apparently not run into 227 00:12:42,559 --> 00:12:45,280 Speaker 1: any trouble when people get completely wiped out, I mean 228 00:12:45,280 --> 00:12:47,959 Speaker 1: wiped out to zero. This is what has been going 229 00:12:48,000 --> 00:12:50,120 Speaker 1: on left and right by the way Miami, where I 230 00:12:50,120 --> 00:12:52,280 Speaker 1: spent a lot of time these days, it's really been 231 00:12:52,400 --> 00:12:55,120 Speaker 1: kind of ground zero for this. A lot of crypto 232 00:12:55,400 --> 00:12:58,240 Speaker 1: bros here, a lot of crypto stuff going on, and 233 00:12:58,360 --> 00:13:00,880 Speaker 1: people are getting ripped off left and right. They really are, 234 00:13:01,000 --> 00:13:03,760 Speaker 1: And it's it's amazing that they could see it at 235 00:13:03,760 --> 00:13:07,600 Speaker 1: this level. Clay literally billions of dollars and no one 236 00:13:08,080 --> 00:13:10,120 Speaker 1: even you know, no one ran a flag up on 237 00:13:10,120 --> 00:13:11,800 Speaker 1: this guy. No one thought maybe we should look into 238 00:13:11,800 --> 00:13:14,360 Speaker 1: what's happening here. Well, not to mention buckets, we've said 239 00:13:14,840 --> 00:13:18,640 Speaker 1: they sold us on crypto as a hedge, and really, 240 00:13:18,920 --> 00:13:20,880 Speaker 1: when we got ten percent inflation, I know it hit 241 00:13:20,960 --> 00:13:23,839 Speaker 1: seven percent today but seven point one. But when you 242 00:13:23,920 --> 00:13:26,960 Speaker 1: have double digit inflation, this should have been the time 243 00:13:27,040 --> 00:13:30,360 Speaker 1: when crypto took off. Instead, crypto has done worse than 244 00:13:30,400 --> 00:13:33,120 Speaker 1: the stock market at large, worse than the SMP five hundred, 245 00:13:33,200 --> 00:13:36,959 Speaker 1: worse than the NASDAC, worse than the Dow. And that, 246 00:13:37,040 --> 00:13:40,120 Speaker 1: my friend, is not a good sign. We'll continue to 247 00:13:40,120 --> 00:13:42,160 Speaker 1: break this down and more for you. Like I said, 248 00:13:42,200 --> 00:13:45,200 Speaker 1: loaded guests, fantastic discussions on a lot of different topics today. 249 00:13:45,240 --> 00:13:47,840 Speaker 1: We appreciate all of you. And if you heard Sam 250 00:13:47,840 --> 00:13:51,960 Speaker 1: Bankman Freed and you saw the way that he was living, 251 00:13:52,640 --> 00:13:55,360 Speaker 1: did this seem like a guy that was laden with 252 00:13:55,440 --> 00:13:59,520 Speaker 1: testosterone to you? Did you think to yourself, my goodness, 253 00:14:00,120 --> 00:14:06,520 Speaker 1: this guy is an absolute alpha male? Or did you think, man, 254 00:14:06,559 --> 00:14:09,200 Speaker 1: this guy really sounds like he could use some testosterone. 255 00:14:09,760 --> 00:14:12,120 Speaker 1: Do you sound like the Biden administration? He kind of did. 256 00:14:12,400 --> 00:14:15,480 Speaker 1: Sam Bankman Freed sounds like the Biden administration. It is 257 00:14:15,800 --> 00:14:18,959 Speaker 1: a group of people that lack testicular fortitude. It is 258 00:14:18,960 --> 00:14:21,880 Speaker 1: a group of people that frankly lack testosterone in a 259 00:14:21,920 --> 00:14:24,960 Speaker 1: big way. You know, testosterone is down fifty percent everywhere. 260 00:14:25,360 --> 00:14:27,680 Speaker 1: You can get yourself set up with chalk and It 261 00:14:27,880 --> 00:14:31,640 Speaker 1: is all natural supplements that will get your testosterone back 262 00:14:31,720 --> 00:14:33,800 Speaker 1: up to a high level, maybe in part of twenty 263 00:14:33,840 --> 00:14:37,080 Speaker 1: twenty three. Having better energy, maybe getting better shape is 264 00:14:37,080 --> 00:14:39,320 Speaker 1: one of your goals. That's not uncommon at all. Well 265 00:14:39,360 --> 00:14:41,000 Speaker 1: right now you can start early. If you go to 266 00:14:41,080 --> 00:14:44,760 Speaker 1: chalk dot com shoq dot com. You type in my 267 00:14:44,920 --> 00:14:48,720 Speaker 1: name Clay in the purchase and you'll say thirty five 268 00:14:48,920 --> 00:14:53,040 Speaker 1: percent off any subscription for life. You can discontinue at 269 00:14:53,080 --> 00:14:56,640 Speaker 1: any time, but again, thirty five percent off for life. 270 00:14:56,680 --> 00:14:58,800 Speaker 1: Go check it out today. You can also give a 271 00:14:58,800 --> 00:15:01,600 Speaker 1: gift subscription for the holidays to someone that you loved. 272 00:15:01,640 --> 00:15:04,520 Speaker 1: They have products for ladies as well. It can make 273 00:15:04,680 --> 00:15:07,640 Speaker 1: amazing difference for her when it comes to hair, skin 274 00:15:07,800 --> 00:15:11,040 Speaker 1: and nails. All natural. Go ahead and try it out 275 00:15:11,160 --> 00:15:14,160 Speaker 1: chalk dot com. Go look at it shoq dot com. 276 00:15:14,320 --> 00:15:17,360 Speaker 1: Use my name Clay, thirty five percent off for life 277 00:15:17,400 --> 00:15:23,720 Speaker 1: one more time. Go check it out today shoq dot com. 278 00:15:23,840 --> 00:15:26,880 Speaker 1: Are you worried you might be detained if you stepped 279 00:15:26,960 --> 00:15:30,640 Speaker 1: foot into the US. I don't believe I would be, 280 00:15:30,720 --> 00:15:34,360 Speaker 1: but I haven't done a deep dive into that. At 281 00:15:34,440 --> 00:15:37,920 Speaker 1: some point, something I have to think harder about well, 282 00:15:37,960 --> 00:15:40,360 Speaker 1: he's thinking hard about it now. That was Sam Bakman 283 00:15:40,440 --> 00:15:43,800 Speaker 1: freed when he was asked just yesterday on a podcast 284 00:15:44,920 --> 00:15:48,840 Speaker 1: Unusual Whales it's called, where he was asked, do you 285 00:15:48,840 --> 00:15:50,800 Speaker 1: think he'd be arrested if you set foot in the US? 286 00:15:51,160 --> 00:15:53,920 Speaker 1: Turns out they saved him the trouble because he has 287 00:15:53,960 --> 00:15:56,400 Speaker 1: been arrested in the Bahamas and there is an extradition 288 00:15:56,440 --> 00:16:00,040 Speaker 1: treaty between the US and the Bahamas. This is a 289 00:16:00,920 --> 00:16:04,640 Speaker 1: pretty pretty remarkable situation that has played out here and 290 00:16:04,880 --> 00:16:07,600 Speaker 1: and there are a couple of ways this can go play. 291 00:16:07,640 --> 00:16:10,960 Speaker 1: I think on one hand, you might have regulators and 292 00:16:11,040 --> 00:16:14,200 Speaker 1: the apparatus. They can try to save face at some 293 00:16:14,320 --> 00:16:17,920 Speaker 1: level and be like, oh, we would never want somebody 294 00:16:18,000 --> 00:16:20,160 Speaker 1: who engages in this kind of fraud against you know, 295 00:16:20,200 --> 00:16:23,000 Speaker 1: every day crypto investors, you know, throw the book at him, 296 00:16:23,080 --> 00:16:26,040 Speaker 1: essentially throw him under the bus totally, or maybe they 297 00:16:26,120 --> 00:16:30,160 Speaker 1: kind of play along with you know, it's really complicated, 298 00:16:30,200 --> 00:16:32,560 Speaker 1: and he tried and he got in over it. You're 299 00:16:32,560 --> 00:16:36,000 Speaker 1: gonna hear over his head over and over again about 300 00:16:36,040 --> 00:16:39,120 Speaker 1: this guy. One thing I'm curious about, Buck is the 301 00:16:39,200 --> 00:16:42,360 Speaker 1: timing here on the charges being brought because, as you mentioned, 302 00:16:42,600 --> 00:16:46,000 Speaker 1: he was scheduled to talk to testify in front of 303 00:16:46,040 --> 00:16:49,120 Speaker 1: Congress today. I think he bumped it back from yesterday, 304 00:16:49,720 --> 00:16:52,560 Speaker 1: but I don't they must have him dead to rights 305 00:16:52,720 --> 00:16:56,240 Speaker 1: if they aren't in any more in need of under 306 00:16:56,320 --> 00:16:59,320 Speaker 1: oath comments from him that they could use in any 307 00:16:59,360 --> 00:17:01,680 Speaker 1: sort of court proceeding. I'm a little bit surprised about 308 00:17:01,680 --> 00:17:04,040 Speaker 1: they must have him dead to rights. Well, it was 309 00:17:04,240 --> 00:17:08,600 Speaker 1: it was a big sign that he continued to talk 310 00:17:08,640 --> 00:17:12,159 Speaker 1: to the press and to speak about his situation even 311 00:17:12,200 --> 00:17:15,240 Speaker 1: after the bankruptcy and it was all falling apart. Any 312 00:17:15,440 --> 00:17:17,880 Speaker 1: lawyer would tell you under and I'm sure his lawyers 313 00:17:17,920 --> 00:17:24,159 Speaker 1: did shut your now, yeah, say anything. But instead he 314 00:17:24,200 --> 00:17:26,120 Speaker 1: was out there like, look, it's been like really hard 315 00:17:26,280 --> 00:17:28,760 Speaker 1: and really been struggling with this one. And I think 316 00:17:28,800 --> 00:17:30,760 Speaker 1: I maybe got a little bit ahead of myself and 317 00:17:30,880 --> 00:17:32,840 Speaker 1: den I just want everyone to feel sympathy for me. 318 00:17:33,400 --> 00:17:38,240 Speaker 1: Will people feel sympathy for billionaire Frodo Baggins. I don't 319 00:17:38,280 --> 00:17:41,639 Speaker 1: know that's such a good description of him. Also, the 320 00:17:41,680 --> 00:17:43,879 Speaker 1: people who have not gotten very much attention in the 321 00:17:43,880 --> 00:17:46,680 Speaker 1: media are people want of whom lost their life savings 322 00:17:47,119 --> 00:17:51,600 Speaker 1: that they had deposited with him. That is those people 323 00:17:51,600 --> 00:17:54,439 Speaker 1: are going to be testifying in these court cases, and 324 00:17:54,520 --> 00:17:56,440 Speaker 1: to the extent that he's trying to feel like he's 325 00:17:56,480 --> 00:17:59,520 Speaker 1: an empathetic or sympathetic figure, it ain't gonna seem good 326 00:17:59,520 --> 00:18:02,240 Speaker 1: compared to the people that lost millions and billions of 327 00:18:02,280 --> 00:18:05,600 Speaker 1: dollars from him. Small business owners taking advantage of a 328 00:18:05,640 --> 00:18:10,040 Speaker 1: little known IRS tax refund program started right after COVID. 329 00:18:10,119 --> 00:18:12,399 Speaker 1: If your business has five or more employees and you 330 00:18:12,440 --> 00:18:15,160 Speaker 1: made it through COVID, you could be eligible to receive 331 00:18:15,200 --> 00:18:17,720 Speaker 1: a payroll tax rebate of up to twenty six thousand 332 00:18:17,720 --> 00:18:21,679 Speaker 1: dollars per employee, not alone, no payback, just a refund 333 00:18:21,720 --> 00:18:23,680 Speaker 1: of your taxes. How do you get your business this 334 00:18:23,840 --> 00:18:27,280 Speaker 1: refund money. Go to get refunds dot Com. Their tax 335 00:18:27,280 --> 00:18:31,560 Speaker 1: attorneys specialist in this little known payroll tax refund program. 336 00:18:31,600 --> 00:18:35,040 Speaker 1: They'll do all the work, no charges upfront, just share 337 00:18:35,040 --> 00:18:37,000 Speaker 1: a percentage of the cash they get back with you. 338 00:18:37,440 --> 00:18:40,760 Speaker 1: Businesses of all types can qualify. Here's how you do it. 339 00:18:41,000 --> 00:18:44,119 Speaker 1: Go to get Refunds dot Com. Click on qualify me, 340 00:18:44,280 --> 00:18:48,359 Speaker 1: answer a few questions. Payroll tax refund only available for 341 00:18:48,440 --> 00:18:51,359 Speaker 1: a limited amount of time, so don't miss out. Go 342 00:18:51,440 --> 00:18:55,320 Speaker 1: to get refunds dot Com. No risk, high reward get 343 00:18:55,440 --> 00:19:02,240 Speaker 1: Refunds dot Com. Welcome back in Clay Travis buck Sexton Show. 344 00:19:03,160 --> 00:19:06,360 Speaker 1: A little bit of breaking news here. Florida Governor Ron 345 00:19:06,440 --> 00:19:10,520 Speaker 1: de Santis has just announced that he's going to be 346 00:19:11,840 --> 00:19:17,800 Speaker 1: impaneling a grand jury statewide to investigate the COVID shot 347 00:19:17,840 --> 00:19:22,600 Speaker 1: companies for fraud. This is something that we have argued 348 00:19:22,600 --> 00:19:25,760 Speaker 1: about on this show for months, and I've been pushing 349 00:19:25,800 --> 00:19:31,320 Speaker 1: that it should happen. There are challenges, certainly legally associated 350 00:19:31,359 --> 00:19:34,120 Speaker 1: with all of it, this and how it would go 351 00:19:34,280 --> 00:19:38,439 Speaker 1: and be implemented in all those things, particularly because the 352 00:19:38,560 --> 00:19:41,960 Speaker 1: COVID shot companies Fiser and Maderna at the top of 353 00:19:42,000 --> 00:19:46,560 Speaker 1: that list, were given protections from liability as a part 354 00:19:46,680 --> 00:19:50,080 Speaker 1: of this part and parcel this process in general. But 355 00:19:51,440 --> 00:19:56,800 Speaker 1: this investigation, I believe Buck would have a really good 356 00:19:57,400 --> 00:20:03,240 Speaker 1: chance to uncover exactly what Maderna and Fizer knew and 357 00:20:03,400 --> 00:20:06,960 Speaker 1: how much their public commentary about the efficacy of the 358 00:20:07,040 --> 00:20:11,240 Speaker 1: COVID shot was undercut by private data that they had 359 00:20:11,280 --> 00:20:15,399 Speaker 1: that the COVID shot did not actually prevent transmission or 360 00:20:15,960 --> 00:20:19,280 Speaker 1: stop you from from giving it to someone else getting 361 00:20:19,320 --> 00:20:21,920 Speaker 1: it yourself effectively. This is a big deal, and I 362 00:20:22,000 --> 00:20:24,200 Speaker 1: think we've had a fraud perpetrated on us beyond a 363 00:20:24,240 --> 00:20:27,160 Speaker 1: shadow of a doubt. We'll have to see what they're 364 00:20:27,200 --> 00:20:31,199 Speaker 1: able to prove, because their obvious fallback is going to 365 00:20:31,240 --> 00:20:34,879 Speaker 1: be we were in a crisis. The federal government told 366 00:20:35,000 --> 00:20:38,720 Speaker 1: us that this needed to get done. They'll place blame 367 00:20:38,960 --> 00:20:42,719 Speaker 1: by the way. You know where it's going, Donald Trump, 368 00:20:43,080 --> 00:20:46,719 Speaker 1: We're gonna say it was Operation Warp Speed. The federal 369 00:20:46,760 --> 00:20:49,240 Speaker 1: government was telling us everyone was gonna die unless we 370 00:20:49,320 --> 00:20:52,000 Speaker 1: got this done. We would have taken five years for 371 00:20:52,080 --> 00:20:54,360 Speaker 1: the vaccine, but you people wanted it in one year. 372 00:20:54,400 --> 00:20:57,080 Speaker 1: I mean, I can just see this is this is 373 00:20:57,080 --> 00:20:59,399 Speaker 1: gonna drag out for years. Look, I think it's the 374 00:20:59,520 --> 00:21:01,959 Speaker 1: right move to at least try to get to the 375 00:21:02,000 --> 00:21:05,880 Speaker 1: truth and try to get some accountability. But I mean, 376 00:21:05,920 --> 00:21:07,919 Speaker 1: you and I are going to be looking at this 377 00:21:08,000 --> 00:21:15,400 Speaker 1: thing in years time still, and ultimately the vaccine makers 378 00:21:16,160 --> 00:21:20,639 Speaker 1: are very unlikely, I think, to be financially hit all 379 00:21:20,640 --> 00:21:22,920 Speaker 1: that badly. But we have desantists here talking about it. 380 00:21:22,960 --> 00:21:26,800 Speaker 1: Do you want to hear you're announcing this today? Playcott thirty. Today, 381 00:21:27,240 --> 00:21:31,240 Speaker 1: I'm announcing a petition with the Supreme Court of Florida 382 00:21:31,359 --> 00:21:36,480 Speaker 1: to impanel a statewide grand jury to investigate any and 383 00:21:36,520 --> 00:21:42,480 Speaker 1: all wrongdoing in Florida with respect to COVID nineteen vaccines, 384 00:21:42,520 --> 00:21:46,080 Speaker 1: and we anticipate that we will get the approval for that. 385 00:21:46,080 --> 00:21:49,119 Speaker 1: That will be something that will be impaneled, most likely 386 00:21:49,160 --> 00:21:52,600 Speaker 1: in the Tampa Bay area, and that will come with 387 00:21:52,800 --> 00:21:57,360 Speaker 1: legal processes that will be able to get more information 388 00:21:57,520 --> 00:22:02,080 Speaker 1: and to bring legal accountability for the who committed misconduct. 389 00:22:02,760 --> 00:22:05,359 Speaker 1: So there could be things that come out of this 390 00:22:05,440 --> 00:22:07,960 Speaker 1: that we're not expecting as well. All you and I 391 00:22:08,040 --> 00:22:10,560 Speaker 1: think right, all you need. I mean, if they were 392 00:22:10,560 --> 00:22:13,720 Speaker 1: playing it all straight and realized gotta be careful when 393 00:22:13,760 --> 00:22:16,480 Speaker 1: you put an email over at visor and MODERNA headquarters, 394 00:22:17,160 --> 00:22:19,359 Speaker 1: I don't know this plays out for years. There's a 395 00:22:19,359 --> 00:22:21,560 Speaker 1: lot you can already see what their defense is. But 396 00:22:21,640 --> 00:22:24,760 Speaker 1: if you get some visor exactly who's like, wow, they're saying, 397 00:22:24,760 --> 00:22:28,960 Speaker 1: this block's transmission, This doesn't block squat, then you're in 398 00:22:29,040 --> 00:22:32,840 Speaker 1: a whole different category and so so and look to 399 00:22:32,920 --> 00:22:34,720 Speaker 1: know that you gotta fish for it. You got to 400 00:22:34,760 --> 00:22:37,399 Speaker 1: find it. And I don't think the same way that 401 00:22:37,440 --> 00:22:42,439 Speaker 1: Twitter never believed that its internal communications would be made public. 402 00:22:42,920 --> 00:22:45,879 Speaker 1: I think these vaccine makers, especially given the times and 403 00:22:46,480 --> 00:22:48,639 Speaker 1: all the support from the medical community for them and 404 00:22:48,680 --> 00:22:50,720 Speaker 1: all the rest of it. I think they probably thought 405 00:22:50,720 --> 00:22:53,760 Speaker 1: they were, you know, ironclad as well. No problem. What 406 00:22:53,800 --> 00:22:58,120 Speaker 1: we need, Buck, is whistleblowers inside of this company, And 407 00:22:58,200 --> 00:22:59,959 Speaker 1: that's kind of I think what they're going to end 408 00:23:00,119 --> 00:23:03,320 Speaker 1: up with with the Sam Bankman free lawsuits, who will 409 00:23:03,359 --> 00:23:07,280 Speaker 1: tell the truth. And we're looking at the data and saying, 410 00:23:07,359 --> 00:23:11,600 Speaker 1: wait a minute, what we are publicly saying again, take 411 00:23:11,640 --> 00:23:15,439 Speaker 1: it outside of the COVID shots. If you buy a 412 00:23:15,480 --> 00:23:18,680 Speaker 1: product and they tell you that it will do two 413 00:23:18,760 --> 00:23:23,000 Speaker 1: things and then it actually comes out that you bought 414 00:23:23,040 --> 00:23:26,120 Speaker 1: that product and both of the things that they advertised 415 00:23:26,200 --> 00:23:30,639 Speaker 1: it would do were not true, that is fraud. You 416 00:23:30,720 --> 00:23:35,480 Speaker 1: were fraudulently induced to take that product. Buck, if we 417 00:23:35,600 --> 00:23:38,560 Speaker 1: could wave a magic wand and we had the multiverse, 418 00:23:38,640 --> 00:23:42,960 Speaker 1: I'll just point this out. Imagine what the media coverage 419 00:23:43,040 --> 00:23:46,800 Speaker 1: of the COVID shot would look like if Donald Trump 420 00:23:46,840 --> 00:23:50,520 Speaker 1: were still in office. It would be front page news 421 00:23:50,880 --> 00:23:52,560 Speaker 1: every day in the New York Times. They would be 422 00:23:52,600 --> 00:23:55,240 Speaker 1: Washington Post. They would be blaming. They would be running 423 00:23:55,840 --> 00:23:59,919 Speaker 1: b roll footage of the Walking Dead with zombies and everything, 424 00:24:00,280 --> 00:24:04,240 Speaker 1: like you know, they'd be terrified everybody about what the 425 00:24:04,400 --> 00:24:06,840 Speaker 1: long term effects of the vaccines are on all the 426 00:24:06,840 --> 00:24:09,720 Speaker 1: rest of it. And we know this because early on 427 00:24:10,119 --> 00:24:13,919 Speaker 1: I still remember this Kamala Joe Biden, they were talking 428 00:24:13,960 --> 00:24:17,200 Speaker 1: about how, oh, you can't trust a Trump vaccine. Oh 429 00:24:17,280 --> 00:24:19,639 Speaker 1: it's a Trump remember that. They Oh, I don't know 430 00:24:19,640 --> 00:24:21,760 Speaker 1: if I'm gonna get this shot because it's Trump. They 431 00:24:21,760 --> 00:24:23,960 Speaker 1: made it sound like Trump was there himself with like 432 00:24:23,960 --> 00:24:27,000 Speaker 1: a beaker and a Bunsen burner, like the best vaccine ever. Yeah, 433 00:24:27,040 --> 00:24:30,280 Speaker 1: that's not actually what was happening. And here we are 434 00:24:30,320 --> 00:24:33,600 Speaker 1: now seeing that there may be some accountability for it. 435 00:24:33,760 --> 00:24:36,959 Speaker 1: But if nothing else, they got this thing so wrong 436 00:24:37,080 --> 00:24:39,760 Speaker 1: that it is it is shocking, Like you look at 437 00:24:39,760 --> 00:24:41,040 Speaker 1: this and you say, and I know some people in 438 00:24:41,040 --> 00:24:43,159 Speaker 1: the audience knew they were gonna get it wrong. But 439 00:24:43,280 --> 00:24:47,719 Speaker 1: clay it. It doesn't stop transmission at all. It doesn't 440 00:24:47,800 --> 00:24:51,200 Speaker 1: last very long at all, and you have to keep 441 00:24:51,320 --> 00:24:54,159 Speaker 1: updating it for new ones, kind of like the flu shot. 442 00:24:54,400 --> 00:24:58,159 Speaker 1: And it was much ado about the flu shot. Even 443 00:24:58,280 --> 00:25:01,120 Speaker 1: if you get all of your boosters, all of your shots, 444 00:25:01,280 --> 00:25:04,800 Speaker 1: you still may die of COVID, or at least die 445 00:25:04,880 --> 00:25:07,840 Speaker 1: with COVID. Even the New York Times had to come 446 00:25:07,840 --> 00:25:10,600 Speaker 1: out recently and say hey, it's no longer a pandemic 447 00:25:10,680 --> 00:25:15,040 Speaker 1: of the unvaccinated. The majority of people dying of COVID 448 00:25:15,160 --> 00:25:18,360 Speaker 1: now in this country have gotten the COVID shot. Many 449 00:25:18,400 --> 00:25:21,280 Speaker 1: of them have gotten the COVID boosters. It doesn't really 450 00:25:21,520 --> 00:25:26,159 Speaker 1: work at all. Frankly, and again, what I would say is, 451 00:25:26,680 --> 00:25:29,919 Speaker 1: not only it would be one thing, buck if these 452 00:25:30,119 --> 00:25:35,520 Speaker 1: drug companies had provided their COVID shots for cost, right, 453 00:25:35,560 --> 00:25:38,159 Speaker 1: if they had been like, hey, we're just rushing to 454 00:25:38,280 --> 00:25:42,440 Speaker 1: try to ensure that we get this product out. This 455 00:25:42,520 --> 00:25:44,080 Speaker 1: is you know, we make a lot of money on 456 00:25:44,119 --> 00:25:46,000 Speaker 1: a lot of different ventures. This is not a for 457 00:25:46,200 --> 00:25:50,119 Speaker 1: profit venture for us. They made tens of billions of 458 00:25:50,160 --> 00:25:54,960 Speaker 1: dollars of our taxpayer money off of shots that don't work. 459 00:25:55,280 --> 00:25:58,040 Speaker 1: At a minimum, they should have to return all of 460 00:25:58,080 --> 00:26:00,840 Speaker 1: the profits they made off the COVID shot. And Buck, 461 00:26:00,880 --> 00:26:03,080 Speaker 1: you and I talked about this. I'm reading the Wall 462 00:26:03,080 --> 00:26:06,480 Speaker 1: Street Journal the other day and they're talking about how 463 00:26:06,560 --> 00:26:10,359 Speaker 1: the high end luxury property market. I believe it was 464 00:26:10,400 --> 00:26:13,960 Speaker 1: in Boston, where Madernham may be based. They were buying 465 00:26:14,000 --> 00:26:17,879 Speaker 1: ten million dollar penhouses in Boston with all the bonuses 466 00:26:17,920 --> 00:26:21,679 Speaker 1: they were getting off their COVID shot money. That don't work. 467 00:26:21,760 --> 00:26:26,320 Speaker 1: And that's, by the way, our taxpayer funds. If taxpayer money, 468 00:26:26,359 --> 00:26:28,760 Speaker 1: if you and me and everybody out there listening to 469 00:26:28,840 --> 00:26:33,840 Speaker 1: us paid for COVID shots that don't work, at a minimum, 470 00:26:34,160 --> 00:26:37,440 Speaker 1: all of the profits that those COVID shot companies got 471 00:26:37,680 --> 00:26:41,240 Speaker 1: should be refunded to the United States government the profits, 472 00:26:41,640 --> 00:26:45,639 Speaker 1: and we should redistribute those funds, in my opinion, to 473 00:26:45,840 --> 00:26:48,440 Speaker 1: all of the people who lost their jobs for refusing 474 00:26:48,480 --> 00:26:50,720 Speaker 1: to get the COVID shot, which our government tried to 475 00:26:50,760 --> 00:26:54,359 Speaker 1: mandate that too. Yeah, what do you think are the 476 00:26:54,440 --> 00:26:57,920 Speaker 1: chances that any of that actually happens? As a fuse 477 00:26:58,040 --> 00:27:00,800 Speaker 1: analogy that I would make if we went back in 478 00:27:00,880 --> 00:27:05,159 Speaker 1: time twenty five years and I came on and I said, hey, Buck, 479 00:27:05,760 --> 00:27:09,720 Speaker 1: the state of Mississippi has decided, maybe thirty years now 480 00:27:10,000 --> 00:27:13,320 Speaker 1: to sue cigarette companies. Oh, I think, said, I don't 481 00:27:13,320 --> 00:27:15,679 Speaker 1: think the cigarette think Clay. The cigarettes weren't that they 482 00:27:15,720 --> 00:27:18,400 Speaker 1: didn't have the federal government saying everybody has to buy 483 00:27:18,400 --> 00:27:21,000 Speaker 1: and smoke cigarettes or else. But the idea that a 484 00:27:21,160 --> 00:27:26,479 Speaker 1: state was going to hold the cigarette companies accountable. And 485 00:27:26,560 --> 00:27:30,399 Speaker 1: remember what came out was the wise It was the 486 00:27:30,440 --> 00:27:33,560 Speaker 1: fraud that got the cigarette companies. I would argue the 487 00:27:33,600 --> 00:27:38,040 Speaker 1: COVID shots are worse because our government never told us, hey, 488 00:27:38,119 --> 00:27:41,840 Speaker 1: cigarettes are healthy, you have to go smoke cigarettes in 489 00:27:41,960 --> 00:27:45,200 Speaker 1: order to keep your job. They told us all the 490 00:27:45,200 --> 00:27:48,080 Speaker 1: COVID shot is healthy. You have to go get this 491 00:27:48,160 --> 00:27:51,680 Speaker 1: shot or you're gonna lose your job. I would argue 492 00:27:51,720 --> 00:27:54,280 Speaker 1: that the COVID shot is worse than cigarettes. But what 493 00:27:54,359 --> 00:27:58,320 Speaker 1: happened in the cigarette lawsuit Buck was we found out 494 00:27:58,640 --> 00:28:03,040 Speaker 1: that they knew that cigarettes were dead. I think I 495 00:28:03,480 --> 00:28:05,280 Speaker 1: think you get to the crux of it there. If 496 00:28:05,320 --> 00:28:08,960 Speaker 1: we find through that, and this is probably the descentist 497 00:28:08,960 --> 00:28:11,520 Speaker 1: strategy and anyone else who's gonna bring these suits. If 498 00:28:11,560 --> 00:28:16,440 Speaker 1: you find smoking gun fraud evidence inside of these vaccine 499 00:28:16,480 --> 00:28:19,359 Speaker 1: makers about some of the primary issues we're talking about, 500 00:28:19,800 --> 00:28:23,440 Speaker 1: you might have something. If you find we think we 501 00:28:23,600 --> 00:28:28,000 Speaker 1: gotta see here's the results. Will wait six months. It's 502 00:28:28,000 --> 00:28:30,560 Speaker 1: gonna be very, very hard for there to be any 503 00:28:30,680 --> 00:28:34,399 Speaker 1: real accountability. The other one I would use that's more 504 00:28:34,400 --> 00:28:38,680 Speaker 1: recent is all the opioid prescriptions that were being given. 505 00:28:38,720 --> 00:28:42,200 Speaker 1: I believe those started with maybe even plain of lawsuits. 506 00:28:42,480 --> 00:28:44,160 Speaker 1: The other side of it, though, is you don't you 507 00:28:44,160 --> 00:28:46,720 Speaker 1: don't have half the country that still thinks that cigarettes 508 00:28:46,800 --> 00:28:49,320 Speaker 1: or still thinks that they don't. Half the country doesn't 509 00:28:49,320 --> 00:28:51,400 Speaker 1: think cigarettes are good for you, and half the country 510 00:28:51,440 --> 00:28:55,520 Speaker 1: doesn't think that opioids aren't addictive, which was amazing book 511 00:28:55,520 --> 00:28:59,320 Speaker 1: on This Dreamland by Sam Cononez. They the medical community 512 00:28:59,320 --> 00:29:02,080 Speaker 1: in the nineties was like, yeah, opioids not really addictive, 513 00:29:02,360 --> 00:29:05,160 Speaker 1: totally insane. Yes, And a lot of people got very 514 00:29:05,240 --> 00:29:08,280 Speaker 1: rich and a lot of the farmer family we're taking 515 00:29:08,320 --> 00:29:10,479 Speaker 1: these well yeah, but a lot of farmer reps. We're 516 00:29:10,520 --> 00:29:12,560 Speaker 1: getting paid big money to take these doctors out to 517 00:29:12,640 --> 00:29:16,680 Speaker 1: write the oxy prescriptions. And it was a mess. But 518 00:29:16,800 --> 00:29:19,040 Speaker 1: half the country, Clay still thinks the vaccines are great. 519 00:29:19,760 --> 00:29:23,000 Speaker 1: I mean, or at least they pretend to think they're great. 520 00:29:23,040 --> 00:29:26,320 Speaker 1: I think the number is I like to look at 521 00:29:26,320 --> 00:29:28,720 Speaker 1: the data on what they're doing with their kids, buck 522 00:29:28,880 --> 00:29:33,520 Speaker 1: because what they might say publicly about themselves. Ninety percent 523 00:29:33,520 --> 00:29:36,720 Speaker 1: of people with young children well over are saying we're 524 00:29:36,720 --> 00:29:39,160 Speaker 1: not getting the COVID shot. Nine out of ten people 525 00:29:39,160 --> 00:29:41,360 Speaker 1: are not getting the COVID shot. There is in deep 526 00:29:41,600 --> 00:29:45,680 Speaker 1: well of skepticism and distrust for these COVID shots that 527 00:29:45,840 --> 00:29:49,680 Speaker 1: I think an investigation could explode into the open and 528 00:29:49,720 --> 00:29:51,400 Speaker 1: That's why I think what Rond de Stance is doing 529 00:29:51,480 --> 00:29:53,480 Speaker 1: is the right decision. I think there's also a deep 530 00:29:53,520 --> 00:29:57,000 Speaker 1: well of frustration for people who are overpaying for cell 531 00:29:57,000 --> 00:30:00,280 Speaker 1: phone service. So why don't we address that. You can 532 00:30:00,280 --> 00:30:03,320 Speaker 1: get talk text and blazing fast data from pure Talk 533 00:30:03,600 --> 00:30:06,400 Speaker 1: for just thirty dollars a month, their superior services on 534 00:30:06,440 --> 00:30:09,080 Speaker 1: the same network, same towers, with the same coverage of 535 00:30:09,120 --> 00:30:11,239 Speaker 1: the other guys, but for half the price. And all 536 00:30:11,280 --> 00:30:13,720 Speaker 1: of this is great news. You can start saving today 537 00:30:13,760 --> 00:30:16,000 Speaker 1: without having to sacrifice on coverage. How do I know? 538 00:30:16,160 --> 00:30:19,440 Speaker 1: I'm a customer. Pure Talk does so many smart things, 539 00:30:19,880 --> 00:30:22,800 Speaker 1: starting with their pricing. Their customer service team is US 540 00:30:22,880 --> 00:30:24,960 Speaker 1: based and they help you make the switch with a 541 00:30:24,960 --> 00:30:27,360 Speaker 1: ten minute phone call. When you join pure Talk, you're 542 00:30:27,360 --> 00:30:30,520 Speaker 1: supporting a veteran owned business. Switch today. By grabbing your 543 00:30:30,560 --> 00:30:33,240 Speaker 1: cell phone and dial pound two fifty and say the 544 00:30:33,320 --> 00:30:36,080 Speaker 1: names Clay and Buck. You'll be connected to one of 545 00:30:36,080 --> 00:30:39,080 Speaker 1: the customer service team members at pure Talk. And get this, 546 00:30:39,360 --> 00:30:42,280 Speaker 1: they'll give you an additional fifty percent off your first month. 547 00:30:43,080 --> 00:30:45,000 Speaker 1: That's right. All you have to do from your phone now, 548 00:30:45,000 --> 00:30:47,280 Speaker 1: Remember you keep your phone, you keep your phone number. 549 00:30:47,400 --> 00:30:50,479 Speaker 1: You're just switching the plan getting great savings from your 550 00:30:50,480 --> 00:30:53,960 Speaker 1: existing cell phone dial pound two five zero. Say Clay 551 00:30:54,040 --> 00:30:57,600 Speaker 1: and Buck. Switch to a company that shares our values 552 00:30:57,920 --> 00:31:00,680 Speaker 1: pound two five zero on your phone, say Clay and Buck. 553 00:31:00,720 --> 00:31:06,360 Speaker 1: Pure talk is simply smarter Wild Welcome back to Clay 554 00:31:06,360 --> 00:31:09,280 Speaker 1: an Buck. I wanted to say a quick thank you 555 00:31:09,360 --> 00:31:13,360 Speaker 1: to everybody yesterday who reached out with condolences for the 556 00:31:13,400 --> 00:31:17,760 Speaker 1: loss of Tulula. The Sexton family, Frenchie. We're very saddened 557 00:31:17,760 --> 00:31:21,440 Speaker 1: by that over the weekend, but it is really, first 558 00:31:21,480 --> 00:31:23,640 Speaker 1: of all, it's very kind of everybody. Clay, I don't 559 00:31:23,680 --> 00:31:25,160 Speaker 1: remember the last time I had so many of our 560 00:31:25,200 --> 00:31:28,400 Speaker 1: people reach out directly. And then also with all the 561 00:31:28,440 --> 00:31:32,760 Speaker 1: folks breeders, friends of breeders who are sending me the 562 00:31:32,760 --> 00:31:35,880 Speaker 1: most adorable puppy photos I've ever seen in my life. 563 00:31:35,920 --> 00:31:39,320 Speaker 1: You know, different breeds. Here's a frenchie, here's a golden doodle, 564 00:31:39,400 --> 00:31:41,840 Speaker 1: here's a you know, all kinds of stuff, and say, 565 00:31:41,920 --> 00:31:44,520 Speaker 1: you know, we would love to love to be the 566 00:31:44,560 --> 00:31:47,040 Speaker 1: ones that provide you. The Sexton family. This is really 567 00:31:47,040 --> 00:31:50,400 Speaker 1: for my parents. This is for them in New York City, 568 00:31:50,440 --> 00:31:52,520 Speaker 1: so it's very very kind of them. And the problem 569 00:31:52,600 --> 00:31:54,640 Speaker 1: with looking at puppy photos. Is you're just like, I 570 00:31:54,680 --> 00:31:56,440 Speaker 1: don't know, maybe I should just maybe I should just 571 00:31:56,480 --> 00:31:57,920 Speaker 1: get all of them, you know, maybe maybe I could 572 00:31:57,920 --> 00:31:59,600 Speaker 1: make a little extra room here. I'll get I'll get 573 00:31:59,640 --> 00:32:03,160 Speaker 1: a house in the country with some yardage. So nobody 574 00:32:03,240 --> 00:32:06,920 Speaker 1: ever looks at puppy photos or goes to like someplace 575 00:32:06,920 --> 00:32:09,320 Speaker 1: where puppies have been born and it's like, oh, I 576 00:32:09,360 --> 00:32:12,080 Speaker 1: only want one, right, I mean, yeah, when you look 577 00:32:12,080 --> 00:32:14,719 Speaker 1: at the puppy, same thing with kittens. Um, then they 578 00:32:14,760 --> 00:32:19,280 Speaker 1: grow up, obviously and become oftentimes messes. But but yeah, 579 00:32:19,320 --> 00:32:21,640 Speaker 1: that was I even got some emails I got afford 580 00:32:21,680 --> 00:32:26,520 Speaker 1: them to you, people emailing me about French bulldogs. So 581 00:32:26,520 --> 00:32:30,080 Speaker 1: so yeah, that was a really great response out there. 582 00:32:30,680 --> 00:32:32,800 Speaker 1: I think the dog owners know we rally to you know, 583 00:32:32,880 --> 00:32:35,800 Speaker 1: you rally to each other when you because they understand 584 00:32:35,800 --> 00:32:38,280 Speaker 1: that the dog is a member of the family. I 585 00:32:38,280 --> 00:32:39,880 Speaker 1: don't know what else to say. Dog is a member 586 00:32:39,880 --> 00:32:42,120 Speaker 1: of the family. That's It's just the way it is. 587 00:32:42,200 --> 00:32:45,480 Speaker 1: You know, it's not scientific, but it's the way it is. 588 00:32:45,560 --> 00:32:48,600 Speaker 1: I don't really care what the science says, speaking of 589 00:32:48,640 --> 00:32:55,960 Speaker 1: science clay or actual science. The Cambridge Dictionary recently updated 590 00:32:56,000 --> 00:33:01,720 Speaker 1: its definitions for women and man. Have you seen this? 591 00:33:02,280 --> 00:33:07,400 Speaker 1: They're not a headline? Yeah, officially changing the definition so 592 00:33:07,480 --> 00:33:14,080 Speaker 1: that it includes transgender people. They carefully studied patterns of 593 00:33:14,200 --> 00:33:17,400 Speaker 1: usage blah blah. In the Cambridge entry for a woman, 594 00:33:17,880 --> 00:33:22,680 Speaker 1: the longtime definition for the word was an adult female 595 00:33:22,880 --> 00:33:28,840 Speaker 1: human being, but now an additional definition appears an adult 596 00:33:28,960 --> 00:33:33,720 Speaker 1: who lives and identifies as female, though they may have 597 00:33:33,760 --> 00:33:39,120 Speaker 1: been said to have a different sex at birth, said 598 00:33:39,240 --> 00:33:42,920 Speaker 1: to have a different sex. The doctor looks at the 599 00:33:43,040 --> 00:33:50,320 Speaker 1: downstairs parts and observes reality and just soever understands this is. 600 00:33:50,920 --> 00:33:54,760 Speaker 1: They do this all the time. They advance their radical 601 00:33:54,800 --> 00:33:58,640 Speaker 1: agenda of lunacy and lies. And when we notice and 602 00:33:58,760 --> 00:34:03,080 Speaker 1: say hold on a seconds, that's crazy, they go, why 603 00:34:03,080 --> 00:34:05,080 Speaker 1: are you making such a big deal out of it? 604 00:34:05,280 --> 00:34:07,440 Speaker 1: Why are you make this is the game they do. 605 00:34:07,240 --> 00:34:09,799 Speaker 1: They do on this issue all the time. Oh, it's 606 00:34:09,800 --> 00:34:12,319 Speaker 1: only one person in the sports that's doing this. Oh 607 00:34:12,400 --> 00:34:14,520 Speaker 1: no it's another. Now it's another. Why are you making 608 00:34:14,520 --> 00:34:18,600 Speaker 1: such a big deal? They're so passive. The left is 609 00:34:18,640 --> 00:34:21,879 Speaker 1: not only dishonest, Clay, they're so passive aggressive it comes 610 00:34:21,880 --> 00:34:25,160 Speaker 1: from their emotional instability. Well, think about how crazy it 611 00:34:25,239 --> 00:34:31,600 Speaker 1: is that transgender activists now say doctors sometimes get the 612 00:34:31,800 --> 00:34:36,200 Speaker 1: gender at birth wrong. That's the argument they're making now 613 00:34:36,560 --> 00:34:39,440 Speaker 1: that when a baby is born, and I've been fortunate 614 00:34:39,560 --> 00:34:42,759 Speaker 1: enough to be in the delivery room three times with 615 00:34:42,840 --> 00:34:46,160 Speaker 1: all three of my boys when they were born, the 616 00:34:46,239 --> 00:34:49,799 Speaker 1: doctor does not get the gender of the baby wrong. Buck, 617 00:34:50,080 --> 00:34:51,919 Speaker 1: it ain't I'm just going to toss it out there. 618 00:34:52,760 --> 00:34:54,720 Speaker 1: Some people, wait, they don't want to know the gender 619 00:34:54,760 --> 00:34:59,040 Speaker 1: in advance. It ain't that complicated. When the baby is born. 620 00:34:59,560 --> 00:35:02,680 Speaker 1: You don't have to have a medical degree to see 621 00:35:02,719 --> 00:35:05,000 Speaker 1: what the gender of a baby is. This is what 622 00:35:05,160 --> 00:35:09,440 Speaker 1: This is how radical they are now. That definition follows 623 00:35:09,640 --> 00:35:14,000 Speaker 1: this new radical idea, which is that the doctors are wrong, 624 00:35:14,800 --> 00:35:18,400 Speaker 1: that the biology is not real. And maybe we can 625 00:35:18,440 --> 00:35:19,960 Speaker 1: talk about this a little bit later, but we've got 626 00:35:19,960 --> 00:35:23,160 Speaker 1: a story up at OutKick. One of my writers, Joe Kenzie, So, 627 00:35:23,440 --> 00:35:26,359 Speaker 1: do you ever play frisbee golf like disc golf? I'm 628 00:35:26,360 --> 00:35:28,640 Speaker 1: not even sure what the official phrase for how you 629 00:35:28,680 --> 00:35:32,640 Speaker 1: define I didn't watch some of the weed aficionados at 630 00:35:32,680 --> 00:35:35,839 Speaker 1: my Liberal Arts college as they played the frisbee golf. Yes, 631 00:35:36,160 --> 00:35:38,120 Speaker 1: so basically for people out there who don't know, because 632 00:35:38,120 --> 00:35:41,520 Speaker 1: it's a relatively new sport, you walk around and throw 633 00:35:41,560 --> 00:35:45,160 Speaker 1: a disc like a frisbee towards a target which is 634 00:35:45,239 --> 00:35:49,760 Speaker 1: like a metal chain link bucket. They just today buck 635 00:35:50,200 --> 00:35:56,400 Speaker 1: announced that men who identify as women cannot compete in 636 00:35:56,480 --> 00:36:00,160 Speaker 1: women's frisbee golf. So they are one of the first 637 00:35:59,719 --> 00:36:03,880 Speaker 1: sport that I've seen that its effectively saying your gender 638 00:36:03,920 --> 00:36:07,000 Speaker 1: at birth is who you compete against for purposes of 639 00:36:07,000 --> 00:36:10,040 Speaker 1: our competitions. You know, It's interesting is that the left 640 00:36:10,080 --> 00:36:12,880 Speaker 1: can't let this go even though they realize they all 641 00:36:12,920 --> 00:36:15,560 Speaker 1: look incoherent and absurd at some level, or a lot 642 00:36:15,560 --> 00:36:17,879 Speaker 1: of people do. They realize how dumb this argument they 643 00:36:17,880 --> 00:36:20,600 Speaker 1: make really is. But they can't let this go because 644 00:36:20,960 --> 00:36:25,239 Speaker 1: to accept the gender binary in any context is to 645 00:36:25,280 --> 00:36:29,759 Speaker 1: recognize the gender binary in every context. So this is 646 00:36:29,760 --> 00:36:32,560 Speaker 1: why they will not drop it. Even though we sit 647 00:36:32,640 --> 00:36:35,640 Speaker 1: here and go a six foot five dude with the 648 00:36:35,760 --> 00:36:40,640 Speaker 1: beard playing against women in rugby has an advantage. They 649 00:36:40,680 --> 00:36:43,880 Speaker 1: would prefer to sit there and say that's so untrue, 650 00:36:44,280 --> 00:36:46,200 Speaker 1: then to just admit that we've been right all along. 651 00:36:46,680 --> 00:36:49,000 Speaker 1: They think biology is made up. That's where we are