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 --> 00:00:08,000 Speaker 1: Sexton Show podcast. Welcome back in Clay Travis Buck Sexton Show. 3 00:00:08,960 --> 00:00:12,160 Speaker 1: A little bit of breaking news here. Florida Governor Ron 4 00:00:12,240 --> 00:00:18,440 Speaker 1: DeSantis has just announced that he's going to be impaneling 5 00:00:18,520 --> 00:00:24,160 Speaker 1: a grand jury statewide to investigate the COVID shot companies 6 00:00:24,400 --> 00:00:28,680 Speaker 1: for fraud. This is something that we have argued about 7 00:00:28,720 --> 00:00:31,639 Speaker 1: on this show for months, and I've been pushing that 8 00:00:31,760 --> 00:00:37,360 Speaker 1: it should happen. There are challenges, certainly legally associated with 9 00:00:37,760 --> 00:00:40,199 Speaker 1: all of it, this and how it would go and 10 00:00:40,280 --> 00:00:44,680 Speaker 1: be implemented in all those things, particularly because the COVID 11 00:00:44,720 --> 00:00:48,280 Speaker 1: shot companies Fiser and Maderna at the top of that list, 12 00:00:48,640 --> 00:00:53,080 Speaker 1: were given protections from liability as a part of this 13 00:00:53,200 --> 00:00:58,400 Speaker 1: part and parcel this process in general. But this investigation, 14 00:00:59,520 --> 00:01:04,240 Speaker 1: I believe Buck would have a really good chance to 15 00:01:04,319 --> 00:01:09,600 Speaker 1: uncover exactly what Maderna and Fizer knew and how much 16 00:01:09,680 --> 00:01:13,520 Speaker 1: their public commentary about the efficacy of the COVID shot 17 00:01:13,959 --> 00:01:17,320 Speaker 1: was undercut by private data that they had that the 18 00:01:17,319 --> 00:01:22,319 Speaker 1: COVID shot did not actually prevent transmission or stop you 19 00:01:22,480 --> 00:01:26,360 Speaker 1: from giving it to someone else getting it yourself effectively. 20 00:01:26,680 --> 00:01:28,200 Speaker 1: This is a big deal, and I think we've had 21 00:01:28,200 --> 00:01:30,840 Speaker 1: a fraud perpetrated on us beyond a shadow of a doubt. 22 00:01:31,920 --> 00:01:34,360 Speaker 1: We'll have to see what they're able to prove, because 23 00:01:34,360 --> 00:01:38,520 Speaker 1: their obvious fallback is going to be we were in 24 00:01:38,520 --> 00:01:41,880 Speaker 1: a crisis. The federal government told us that this needed 25 00:01:41,920 --> 00:01:45,880 Speaker 1: to get done. They'll place blame by the way. You 26 00:01:45,959 --> 00:01:50,280 Speaker 1: know where it's going, Donald Trump, We're gonna say it 27 00:01:50,320 --> 00:01:53,560 Speaker 1: was Operation Warp Speed. The federal government was telling us 28 00:01:53,560 --> 00:01:55,800 Speaker 1: everyone was going to die unless we got this done. 29 00:01:56,120 --> 00:01:58,520 Speaker 1: We would have taken five years for the vaccine, but 30 00:01:58,600 --> 00:02:00,840 Speaker 1: you people wanted it in one year. I mean, I 31 00:02:00,840 --> 00:02:03,400 Speaker 1: can just see this is gonna this is gonna drag 32 00:02:03,440 --> 00:02:05,840 Speaker 1: out for years. Look, I think it's the right move 33 00:02:06,360 --> 00:02:08,200 Speaker 1: to at least try to get to the truth and 34 00:02:08,240 --> 00:02:11,920 Speaker 1: try to get some accountability. But I mean, you and 35 00:02:11,960 --> 00:02:14,840 Speaker 1: I are going to be looking at this thing in 36 00:02:15,360 --> 00:02:22,600 Speaker 1: years time still, and ultimately the vaccine makers are very 37 00:02:22,680 --> 00:02:26,840 Speaker 1: unlikely I think, to be financially hit all that badly. 38 00:02:26,840 --> 00:02:28,840 Speaker 1: But we have desantists here talking about it. Do you 39 00:02:28,840 --> 00:02:31,840 Speaker 1: want to hear you're announcing this today, Platt Playcott thirty 40 00:02:31,919 --> 00:02:36,280 Speaker 1: Today I'm announcing a petition with the Supreme Court of 41 00:02:36,280 --> 00:02:42,120 Speaker 1: Florida to impanel a statewide grand jury to investigate any 42 00:02:42,160 --> 00:02:48,239 Speaker 1: and all wrongdoing in Florida with respect to COVID nineteen vaccines. 43 00:02:48,280 --> 00:02:51,320 Speaker 1: And we anticipate that we will get the approval for that. 44 00:02:51,840 --> 00:02:54,880 Speaker 1: That will be something that will be impaneled, most likely 45 00:02:54,919 --> 00:02:58,359 Speaker 1: in the Tampa Bay area, and that will come with 46 00:02:58,560 --> 00:03:03,160 Speaker 1: legal processes that will be able to get more information 47 00:03:03,280 --> 00:03:07,880 Speaker 1: and to bring legal accountability for those who committed misconduct. 48 00:03:08,560 --> 00:03:11,120 Speaker 1: So there could be things that come out of this 49 00:03:11,200 --> 00:03:14,519 Speaker 1: that we're not expecting as well. And I think right 50 00:03:14,760 --> 00:03:16,679 Speaker 1: all you need, I mean, if they were playing it 51 00:03:16,760 --> 00:03:19,799 Speaker 1: all straight and realized gotta be careful when you put 52 00:03:19,800 --> 00:03:23,239 Speaker 1: an email over at visor and MODERNA headquarters, I don't 53 00:03:23,280 --> 00:03:25,400 Speaker 1: know this plays out for years. There's a lot you 54 00:03:25,440 --> 00:03:27,680 Speaker 1: can already see what their defense is. But if you 55 00:03:27,720 --> 00:03:30,560 Speaker 1: get some visor exactly who's like, wow, they're saying this 56 00:03:30,680 --> 00:03:34,920 Speaker 1: block's transmission, this doesn't block squat, then you're in a 57 00:03:34,920 --> 00:03:38,840 Speaker 1: whole different category and so so and look to know 58 00:03:38,920 --> 00:03:41,000 Speaker 1: that you gotta fish for it. You got to find it. 59 00:03:41,880 --> 00:03:44,680 Speaker 1: And I don't think the same way that Twitter never 60 00:03:44,720 --> 00:03:48,800 Speaker 1: believed that its internal communications would be made public. I 61 00:03:48,800 --> 00:03:52,400 Speaker 1: think these vaccine makers, especially given the Times and all 62 00:03:52,400 --> 00:03:54,560 Speaker 1: the support from the medical community for them and all 63 00:03:54,560 --> 00:03:56,800 Speaker 1: the rest of it, I think they probably thought they were, 64 00:03:57,040 --> 00:04:00,480 Speaker 1: you know, ironclad as well. No problem. What we need, Buck, 65 00:04:00,720 --> 00:04:04,640 Speaker 1: is whistleblowers inside of this company, and that's kind of 66 00:04:04,680 --> 00:04:06,400 Speaker 1: I think what they're going to end up with with 67 00:04:06,440 --> 00:04:10,000 Speaker 1: the Sam Bankman free lawsuits who will tell the truth. 68 00:04:10,480 --> 00:04:13,760 Speaker 1: And we're looking at the data and saying, wait a minute, 69 00:04:14,280 --> 00:04:18,640 Speaker 1: what we are publicly saying again, take it outside of 70 00:04:18,680 --> 00:04:22,680 Speaker 1: the COVID shots. If you buy a product and they 71 00:04:22,720 --> 00:04:26,479 Speaker 1: tell you that it will do two things and then 72 00:04:26,560 --> 00:04:29,599 Speaker 1: it actually comes out that you bought that product and 73 00:04:29,760 --> 00:04:32,680 Speaker 1: both of the things that they advertised it would do 74 00:04:33,360 --> 00:04:38,200 Speaker 1: were not true, that is fraud. You were fraudulently induced 75 00:04:38,360 --> 00:04:42,360 Speaker 1: to take that product. Buck. If we could wave a 76 00:04:42,400 --> 00:04:45,000 Speaker 1: magic wand and we had the multiverse, I'll just point 77 00:04:45,080 --> 00:04:49,719 Speaker 1: this out. Imagine what the media coverage of the COVID 78 00:04:49,839 --> 00:04:53,560 Speaker 1: shot would look like if Donald Trump were still in office. 79 00:04:54,279 --> 00:04:57,320 Speaker 1: It would be front page news every day in the 80 00:04:57,360 --> 00:04:59,480 Speaker 1: New York Times. They would be Washington Post, they would 81 00:04:59,520 --> 00:05:03,560 Speaker 1: be they would be running b roll footage of the 82 00:05:03,600 --> 00:05:07,479 Speaker 1: Walking Dead with zombies and everything like you know, they'd 83 00:05:07,520 --> 00:05:11,200 Speaker 1: be terrified everybody about what the long term effects of 84 00:05:11,200 --> 00:05:13,120 Speaker 1: the vaccines are on all the rest of it. And 85 00:05:13,120 --> 00:05:16,760 Speaker 1: we know this because early on I still remember this, 86 00:05:16,880 --> 00:05:20,720 Speaker 1: Kamala Joe Biden, they were talking about how, oh, you 87 00:05:20,760 --> 00:05:24,120 Speaker 1: can't trust a Trump vaccine. Oh it's a Trump remember that. 88 00:05:24,040 --> 00:05:26,160 Speaker 1: They Oh, I don't know if I'm gonna get this 89 00:05:26,200 --> 00:05:28,599 Speaker 1: shot because it's Trump. They made it sound like Trump 90 00:05:28,680 --> 00:05:31,039 Speaker 1: was there himself with like a beaker and a Bunsen burner, 91 00:05:31,160 --> 00:05:33,800 Speaker 1: like the best vaccine ever. Yeah, that's not actually what 92 00:05:33,880 --> 00:05:37,640 Speaker 1: was happening. And here we are now seeing that there 93 00:05:37,680 --> 00:05:40,440 Speaker 1: may be some accountability for it, but if nothing else, 94 00:05:41,120 --> 00:05:44,680 Speaker 1: they got this thing so wrong that it is shocking. 95 00:05:44,839 --> 00:05:46,279 Speaker 1: Like you look at this and you say, and I 96 00:05:46,320 --> 00:05:47,839 Speaker 1: know some people in the audience knew they were gonna 97 00:05:47,880 --> 00:05:51,320 Speaker 1: get it wrong, but clay it. It doesn't stop transmission 98 00:05:51,760 --> 00:05:56,240 Speaker 1: at all. It doesn't last very long at all, and 99 00:05:56,279 --> 00:05:58,880 Speaker 1: you have to keep updating it for new ones, kind 100 00:05:58,880 --> 00:06:01,320 Speaker 1: of like the flu shot. And there was much ado 101 00:06:01,400 --> 00:06:05,039 Speaker 1: about the flu shot. Even if you get all of 102 00:06:05,080 --> 00:06:07,839 Speaker 1: your boosters and all of your shots, you still may 103 00:06:07,960 --> 00:06:12,479 Speaker 1: die of COVID, or at least die with COVID. Even 104 00:06:12,480 --> 00:06:14,880 Speaker 1: the New York Times had to come out recently and say, hey, 105 00:06:14,880 --> 00:06:18,599 Speaker 1: it's no longer a pandemic of the unvaccinated. The majority 106 00:06:18,600 --> 00:06:22,640 Speaker 1: of people dying of COVID now in this country have 107 00:06:22,800 --> 00:06:24,919 Speaker 1: gotten the COVID shot. Many of them have gotten the 108 00:06:24,920 --> 00:06:30,640 Speaker 1: COVID boosters. It doesn't really work at all. Frankly, and again, 109 00:06:30,680 --> 00:06:33,560 Speaker 1: what I would say is not only it would be 110 00:06:33,600 --> 00:06:38,760 Speaker 1: one thing, buck if these drug companies had provided their 111 00:06:38,880 --> 00:06:42,360 Speaker 1: COVID shots for cost, right, if they had been like, hey, 112 00:06:42,760 --> 00:06:46,640 Speaker 1: we're just rushing to try to ensure that we get 113 00:06:46,680 --> 00:06:49,280 Speaker 1: this product out. This is you know, we make a 114 00:06:49,279 --> 00:06:51,240 Speaker 1: lot of money on a lot of different ventures. This 115 00:06:51,320 --> 00:06:54,520 Speaker 1: is not a for profit venture for us. They made 116 00:06:54,560 --> 00:06:59,400 Speaker 1: tens of billions of dollars of our taxpayer money off 117 00:06:59,440 --> 00:07:02,640 Speaker 1: of shots that don't work. At a minimum, they should 118 00:07:02,640 --> 00:07:04,960 Speaker 1: have to return all of the profits they made off 119 00:07:04,960 --> 00:07:07,800 Speaker 1: the COVID shot. And Buck, you and I talked about this. 120 00:07:08,120 --> 00:07:10,560 Speaker 1: I'm reading the Wall Street Journal the other day and 121 00:07:10,640 --> 00:07:15,360 Speaker 1: they're talking about how the high end luxury property market. 122 00:07:15,400 --> 00:07:18,680 Speaker 1: I believe it was in Boston, where Madernham may be based. 123 00:07:19,040 --> 00:07:22,760 Speaker 1: They were buying ten million dollar penhouses in Boston with 124 00:07:22,800 --> 00:07:25,640 Speaker 1: all the bonuses they were getting off their COVID shot 125 00:07:25,720 --> 00:07:28,960 Speaker 1: money that don't work. And that's, by the way, our 126 00:07:29,120 --> 00:07:32,960 Speaker 1: taxpayer funds. If taxpayer money, if you and me and 127 00:07:33,040 --> 00:07:37,000 Speaker 1: everybody out there listening to us paid for COVID shots 128 00:07:37,040 --> 00:07:41,000 Speaker 1: that don't work, at a minimum, all of the profits 129 00:07:41,000 --> 00:07:44,760 Speaker 1: that those COVID shot companies got should be refunded to 130 00:07:44,760 --> 00:07:49,520 Speaker 1: the United States government the profits, and we should redistribute 131 00:07:49,520 --> 00:07:52,280 Speaker 1: those funds, in my opinion, to all of the people 132 00:07:52,320 --> 00:07:55,400 Speaker 1: who lost their jobs for refusing to get the COVID shot, 133 00:07:55,440 --> 00:07:59,360 Speaker 1: which our government tried to mandate that too. Yeah, what 134 00:07:59,440 --> 00:08:01,680 Speaker 1: do you think of the chances that any of that 135 00:08:01,840 --> 00:08:05,160 Speaker 1: actually happens? As a Faulse analogy that I would make 136 00:08:05,600 --> 00:08:08,960 Speaker 1: if we went back in time twenty five years and 137 00:08:09,240 --> 00:08:11,960 Speaker 1: I came on and I said, hey, Buck, the state 138 00:08:12,000 --> 00:08:16,400 Speaker 1: of Mississippi has decided, maybe thirty years now to sue 139 00:08:16,600 --> 00:08:19,760 Speaker 1: cigarette companies. Oh, I think I don't think the cigarette 140 00:08:19,760 --> 00:08:22,000 Speaker 1: think Clay. The cigarettes weren't that they didn't have the 141 00:08:22,040 --> 00:08:25,160 Speaker 1: federal government saying everybody has to buy and smoke cigarettes 142 00:08:25,240 --> 00:08:27,880 Speaker 1: or else. But the idea that a state was going 143 00:08:27,920 --> 00:08:33,240 Speaker 1: to hold the cigarette companies accountable. And remember what came 144 00:08:33,280 --> 00:08:37,000 Speaker 1: out was the wise It was the fraud that got 145 00:08:37,040 --> 00:08:40,160 Speaker 1: the cigarette companies. I would argue the COVID shots are 146 00:08:40,200 --> 00:08:45,040 Speaker 1: worse because our government never told us, hey, cigarettes are healthy, 147 00:08:45,440 --> 00:08:48,280 Speaker 1: you have to go smoke cigarettes in order to keep 148 00:08:48,360 --> 00:08:52,280 Speaker 1: your job. They told us all the COVID shot is healthy. 149 00:08:52,679 --> 00:08:55,280 Speaker 1: You have to go get this shot or you're gonna 150 00:08:55,320 --> 00:08:58,400 Speaker 1: lose your job. I would argue that the COVID shot 151 00:08:58,520 --> 00:09:01,880 Speaker 1: is worse than cigarettes. But what happened in the cigarette lawsuit, Buck, 152 00:09:02,400 --> 00:09:07,840 Speaker 1: was we found out that they knew that cigarettes were dead. 153 00:09:08,440 --> 00:09:10,280 Speaker 1: I think I think you get to the crux of 154 00:09:10,280 --> 00:09:13,520 Speaker 1: it there. If we find through that, and this is 155 00:09:13,559 --> 00:09:16,040 Speaker 1: probably the descentist strategy and anyone else who's going to 156 00:09:16,080 --> 00:09:20,240 Speaker 1: bring these suits. If you find smoking gun fraud evidence 157 00:09:20,760 --> 00:09:24,080 Speaker 1: inside of these vaccine makers about some of the primary 158 00:09:24,120 --> 00:09:27,319 Speaker 1: issues we're talking about, you might have something. If you 159 00:09:27,360 --> 00:09:31,920 Speaker 1: find we think we gotta see here's the results. We'll 160 00:09:31,960 --> 00:09:35,680 Speaker 1: wait six months. It's gonna be very very hard for 161 00:09:35,720 --> 00:09:38,680 Speaker 1: there to be any real accountability. The other one I 162 00:09:38,720 --> 00:09:43,640 Speaker 1: would use that's more recent is all the opioid prescriptions 163 00:09:43,679 --> 00:09:46,640 Speaker 1: that were being given. I believe those started with maybe 164 00:09:46,640 --> 00:09:49,079 Speaker 1: even plane of lawsuits. The other side of it, though, 165 00:09:49,080 --> 00:09:51,160 Speaker 1: is you don't you don't have half the country that 166 00:09:51,240 --> 00:09:54,120 Speaker 1: still thinks that cigarettes or still thinks that they don't 167 00:09:54,160 --> 00:09:56,400 Speaker 1: Half the country doesn't think cigarettes are good for you, 168 00:09:56,440 --> 00:09:59,400 Speaker 1: and half the country doesn't think that opioids aren't addictive, 169 00:09:59,440 --> 00:10:03,880 Speaker 1: which was amazing book on This Dreamland by Sam Cononezy. 170 00:10:04,040 --> 00:10:06,880 Speaker 1: The medical community in the nineties was like, yeah, opioids 171 00:10:06,920 --> 00:10:10,040 Speaker 1: not really addictive, totally insane. Yes, And a lot of 172 00:10:10,040 --> 00:10:12,840 Speaker 1: people got very rich and a lot of the farmer 173 00:10:13,120 --> 00:10:15,520 Speaker 1: family we're taking these well, yeah, but a lot of 174 00:10:15,559 --> 00:10:17,640 Speaker 1: farmer reps were getting paid big money to take these 175 00:10:17,640 --> 00:10:20,360 Speaker 1: doctors out to write the oxy prescriptions and it was 176 00:10:20,760 --> 00:10:23,920 Speaker 1: a mess. But half the country, Clay still thinks the 177 00:10:24,000 --> 00:10:28,000 Speaker 1: vaccines are great. I mean, or at least they pretend 178 00:10:28,040 --> 00:10:31,560 Speaker 1: to think they're great. I think is I like to 179 00:10:31,679 --> 00:10:34,160 Speaker 1: look at the data on what they're doing with their kids, 180 00:10:34,200 --> 00:10:38,920 Speaker 1: buck because what they might say publicly about themselves. Ninety 181 00:10:38,960 --> 00:10:42,280 Speaker 1: percent of people with young children well over are saying 182 00:10:42,320 --> 00:10:44,679 Speaker 1: we're not getting the COVID shot. Nine out of ten 183 00:10:44,720 --> 00:10:46,679 Speaker 1: people are not getting the COVID shot. There is in 184 00:10:46,880 --> 00:10:51,240 Speaker 1: deep well of skepticism and distrust for these COVID shots 185 00:10:51,400 --> 00:10:55,280 Speaker 1: that I think an investigation could explode into the open, 186 00:10:55,360 --> 00:10:56,960 Speaker 1: and that's why I think what Rond de Stance is 187 00:10:57,000 --> 00:10:59,080 Speaker 1: doing is the right decision. I think there's also a 188 00:10:59,080 --> 00:11:02,520 Speaker 1: deep well of frustrate for people who are overpaying for 189 00:11:02,559 --> 00:11:05,840 Speaker 1: cell phone service. So why don't we address that. 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Everybody, we are joined by 213 00:12:15,600 --> 00:12:20,400 Speaker 1: our friend, doctor Marty McCarry of Johns Hopkins University Medical Center. 214 00:12:20,920 --> 00:12:22,720 Speaker 1: He's got a great piece in the Wall Street Journal, 215 00:12:22,800 --> 00:12:27,520 Speaker 1: the exaggeration of long COVID, Doctor McCarry. Great to have 216 00:12:27,600 --> 00:12:30,760 Speaker 1: you back, sir. Good to be with you, guys. So 217 00:12:30,920 --> 00:12:34,640 Speaker 1: let's start with this. You tell us about you put 218 00:12:34,720 --> 00:12:37,960 Speaker 1: in context here in your piece in the Wall Street Journal, 219 00:12:38,720 --> 00:12:41,719 Speaker 1: what is and is not true about long COVID and 220 00:12:42,600 --> 00:12:45,600 Speaker 1: how worried or not worried people should be. But it's 221 00:12:45,640 --> 00:12:49,360 Speaker 1: also the first time I've seen anybody start to attach 222 00:12:49,400 --> 00:12:52,800 Speaker 1: a price tag to this, A billion dollars to what 223 00:12:52,880 --> 00:12:56,440 Speaker 1: you call the long COVID medical industrial complex. Doc, what 224 00:12:56,640 --> 00:13:00,560 Speaker 1: is going on here? Well, look, long it is real. 225 00:13:00,880 --> 00:13:04,400 Speaker 1: But in the UK study it was only three percent 226 00:13:04,679 --> 00:13:08,480 Speaker 1: of people that had COVID, and it declined rapidly. In 227 00:13:08,559 --> 00:13:11,320 Speaker 1: another study that just came out we're getting more research 228 00:13:11,400 --> 00:13:13,720 Speaker 1: on it, and some of these studies show that there's 229 00:13:13,720 --> 00:13:18,360 Speaker 1: really no difference between having long haul symptoms after COVID 230 00:13:18,520 --> 00:13:22,200 Speaker 1: versus any other infection like the flu. If you're not 231 00:13:22,240 --> 00:13:24,560 Speaker 1: working out or eating well and you're sick for a week, 232 00:13:24,840 --> 00:13:27,280 Speaker 1: you're probably going to be weak at four weeks. That's 233 00:13:27,280 --> 00:13:32,360 Speaker 1: not long COVID. That's just the medicalization of ordinary life. 234 00:13:33,000 --> 00:13:35,439 Speaker 1: And doctor Fauci and the crew at the NIH are 235 00:13:35,440 --> 00:13:39,160 Speaker 1: obsessed with long COVID. They spent one point two billion 236 00:13:39,240 --> 00:13:43,040 Speaker 1: dollars to try to study it and that has yielded zero. 237 00:13:43,160 --> 00:13:46,200 Speaker 1: There's been no return on that investment. And the CDC 238 00:13:46,480 --> 00:13:49,040 Speaker 1: tries to say it's not three percent, like we know 239 00:13:49,120 --> 00:13:53,160 Speaker 1: from the UK study, it's twenty percent of people. As 240 00:13:53,200 --> 00:13:55,840 Speaker 1: if one in five Americans are going to be struck 241 00:13:55,880 --> 00:13:59,760 Speaker 1: by this long COVID lightning and then be disabled for life. 242 00:14:00,080 --> 00:14:03,400 Speaker 1: That's just not true. It's dishonest, and it exaggerates the truth. 243 00:14:04,280 --> 00:14:06,240 Speaker 1: Or McCarry, appreciate you coming on. Loved the peace in 244 00:14:06,240 --> 00:14:08,440 Speaker 1: the Wall Street Journal today. I'm not sure if you've 245 00:14:08,480 --> 00:14:13,079 Speaker 1: seen yet, but Florida Governor Ron DeSantis says that essentially 246 00:14:13,160 --> 00:14:17,240 Speaker 1: Florida is going to be impaneling a grand jury to 247 00:14:17,360 --> 00:14:22,920 Speaker 1: investigate potential fraud in the COVID shot, And so I'm 248 00:14:22,960 --> 00:14:28,320 Speaker 1: curious from your perspective, can you remember a situation like 249 00:14:28,480 --> 00:14:31,560 Speaker 1: this where a drug has been We were all told 250 00:14:31,600 --> 00:14:35,400 Speaker 1: the COVID shot, the COVID vaccine initially would prevent you 251 00:14:35,480 --> 00:14:39,040 Speaker 1: from getting and stop the spread of COVID, and basically 252 00:14:39,120 --> 00:14:42,440 Speaker 1: the government mandated it, and then it came out that 253 00:14:42,440 --> 00:14:45,560 Speaker 1: that was not actually true. Can you think of any 254 00:14:45,560 --> 00:14:49,520 Speaker 1: other examples of drugs like that that the government got 255 00:14:49,560 --> 00:14:53,120 Speaker 1: involved in in any kind of similar way. No, gosh, 256 00:14:53,160 --> 00:14:56,360 Speaker 1: if you misbehave in any way as a pharma company 257 00:14:56,520 --> 00:15:00,840 Speaker 1: with filling out the forms or reporting your follow up data, 258 00:15:01,080 --> 00:15:05,280 Speaker 1: you get major penalties and treated differently by the FDA. 259 00:15:05,400 --> 00:15:09,360 Speaker 1: I mean, these guys are strict regulators. With every pharma 260 00:15:09,520 --> 00:15:14,720 Speaker 1: product except the COVID vaccines. You basically have the FDA commissioner, 261 00:15:15,080 --> 00:15:21,720 Speaker 1: our nation's top medication regulator, advertising the COVID vaccine. It's 262 00:15:21,760 --> 00:15:25,760 Speaker 1: in his signature, in his email. He puts tweets out 263 00:15:25,840 --> 00:15:28,920 Speaker 1: saying that it may even prevent long COVID, not just 264 00:15:29,000 --> 00:15:32,920 Speaker 1: transmission with no supporting data. So when you have the 265 00:15:33,000 --> 00:15:37,000 Speaker 1: top regulator promoting it that much saying things that a 266 00:15:37,120 --> 00:15:40,080 Speaker 1: pharma company said they would be fined for making a 267 00:15:40,160 --> 00:15:43,560 Speaker 1: claim outside of their pooped indication. You've got a very 268 00:15:43,600 --> 00:15:47,320 Speaker 1: cozy relationship that just does not add up. Okay, So 269 00:15:47,440 --> 00:15:50,640 Speaker 1: this is so fascinating to me because not only did 270 00:15:50,720 --> 00:15:53,920 Speaker 1: as you just point out, that cozy relationship exists, but 271 00:15:54,040 --> 00:15:58,840 Speaker 1: they also allowed these drug companies to profit tens of 272 00:15:59,040 --> 00:16:03,640 Speaker 1: billions of dollars in profits off of COVID shot vaccine 273 00:16:03,720 --> 00:16:08,160 Speaker 1: mandates which were not justified based on what the actual 274 00:16:08,240 --> 00:16:13,120 Speaker 1: result was. Can you remember the government for for profit 275 00:16:13,240 --> 00:16:17,720 Speaker 1: companies guaranteeing them tens of billions of dollars in profits 276 00:16:17,720 --> 00:16:21,440 Speaker 1: like we've seen for Maderna and Vizor over these COVID shots. 277 00:16:22,800 --> 00:16:24,840 Speaker 1: You know, my friends tell me there was a similar 278 00:16:24,880 --> 00:16:29,360 Speaker 1: example during World War One with one of the military 279 00:16:29,400 --> 00:16:32,000 Speaker 1: companies in the government. But beyond that, I don't know 280 00:16:32,040 --> 00:16:36,280 Speaker 1: of anything. I mean, this is outrageous. What's happened global 281 00:16:36,360 --> 00:16:41,600 Speaker 1: immunity given for just this one vaccine. How does for 282 00:16:41,640 --> 00:16:44,600 Speaker 1: the farm industry have total immunity for COVID vaccines but 283 00:16:44,640 --> 00:16:47,920 Speaker 1: not for the flu shot or RSP shot or other shots. 284 00:16:48,600 --> 00:16:53,640 Speaker 1: And they've never reported pharma has never reported back. They're 285 00:16:53,760 --> 00:16:59,440 Speaker 1: posts approval data. They're supposed to do safety monitoring after 286 00:16:59,480 --> 00:17:02,680 Speaker 1: a drug has approved. It's in the agreement. It's a 287 00:17:02,760 --> 00:17:06,760 Speaker 1: formal arrangement. They're non compliant. They haven't reported it. And 288 00:17:06,920 --> 00:17:09,720 Speaker 1: let's be honest, we all know that no one wants 289 00:17:09,720 --> 00:17:13,800 Speaker 1: to look at vaccine complications in this of public health 290 00:17:13,840 --> 00:17:16,800 Speaker 1: officials or this administration because they don't want to know 291 00:17:16,880 --> 00:17:20,959 Speaker 1: the result. Speaking of doctor Marty McCarry of Johns Hopkins 292 00:17:21,080 --> 00:17:25,520 Speaker 1: University Medical Center and doctor McCarry, you know, I was 293 00:17:25,560 --> 00:17:27,399 Speaker 1: just in a I was just in a government office 294 00:17:27,440 --> 00:17:31,120 Speaker 1: this morning. There are a lot of people double masking, 295 00:17:31,600 --> 00:17:35,000 Speaker 1: and it seems to me like we're now entering this realm. 296 00:17:35,040 --> 00:17:37,280 Speaker 1: And you know, I was on a plane recently and 297 00:17:37,320 --> 00:17:40,880 Speaker 1: they said to everybody respect someone's decision to mask. That 298 00:17:40,960 --> 00:17:44,720 Speaker 1: was they made some announcement over the PA. And still 299 00:17:44,720 --> 00:17:47,159 Speaker 1: in a lot of doctor's offices they require you to 300 00:17:47,200 --> 00:17:50,200 Speaker 1: put a mask on when you go in. What is 301 00:17:50,200 --> 00:17:52,840 Speaker 1: it going to take for people to just to give 302 00:17:52,840 --> 00:17:55,400 Speaker 1: this up? I mean to finally realize, like, how can 303 00:17:55,440 --> 00:17:58,119 Speaker 1: we get because I honestly think that doctors are at 304 00:17:58,160 --> 00:18:01,040 Speaker 1: the heart of this and there should be enough room 305 00:18:01,080 --> 00:18:03,720 Speaker 1: now for them to speak. Honestly, they're not in the 306 00:18:03,760 --> 00:18:07,239 Speaker 1: same fear of losing their medical licenses. I'm amazed at 307 00:18:07,240 --> 00:18:09,920 Speaker 1: how few doctors all come out and said publicly, this 308 00:18:10,000 --> 00:18:14,240 Speaker 1: is idiotic. Everyone needs to stop with the charade. Well, 309 00:18:14,280 --> 00:18:17,280 Speaker 1: I'm surprised by it as well, because I have been 310 00:18:17,320 --> 00:18:22,200 Speaker 1: to about six major medical conferences of doctors this year. 311 00:18:22,600 --> 00:18:25,840 Speaker 1: No one's wearing a mask. Maybe a couple of people, 312 00:18:26,000 --> 00:18:27,959 Speaker 1: and God bless them if they want to do that. 313 00:18:28,000 --> 00:18:30,200 Speaker 1: Maybe they've got a medical condition I don't know about. 314 00:18:30,560 --> 00:18:35,200 Speaker 1: But the doctors are in social activities, shoulder to shoulder, 315 00:18:35,720 --> 00:18:40,160 Speaker 1: seeing their buddies, hugging, shaking hands. They're not wearing masks. 316 00:18:40,520 --> 00:18:44,040 Speaker 1: So what is happening in a society where the doctors 317 00:18:44,040 --> 00:18:47,600 Speaker 1: are not wearing masks but they're quiet when the politicians 318 00:18:47,640 --> 00:18:51,399 Speaker 1: tell everyone you have to wear a mask. It's a 319 00:18:51,440 --> 00:18:56,359 Speaker 1: fantastic question. So as we look ahead, the other thing 320 00:18:56,480 --> 00:19:00,720 Speaker 1: that seems a bit I think clarifying, and you may 321 00:19:00,760 --> 00:19:03,040 Speaker 1: have more recent data than we do, and thanks for 322 00:19:03,119 --> 00:19:07,680 Speaker 1: coming on. We're talking doctor Marty McCarry. Parents are still saying, basically, 323 00:19:07,760 --> 00:19:11,359 Speaker 1: especially for young kids, we're not getting this COVID shot 324 00:19:11,520 --> 00:19:14,680 Speaker 1: for our kids. I think at least ninety percent, if 325 00:19:14,720 --> 00:19:18,560 Speaker 1: not higher, of parents are rejecting this shot. As someone 326 00:19:18,600 --> 00:19:21,119 Speaker 1: who has worked in medicine for a long time, I 327 00:19:21,160 --> 00:19:24,320 Speaker 1: bet you can't remember a scenario like that where that 328 00:19:24,359 --> 00:19:28,600 Speaker 1: many parents have been rejecting a quote unquote advice from experts. 329 00:19:29,160 --> 00:19:32,760 Speaker 1: What does that tell us about the underlying sort of 330 00:19:32,880 --> 00:19:37,800 Speaker 1: position of many people about these COVID shots in general, Well, 331 00:19:37,480 --> 00:19:41,400 Speaker 1: it tells us that public health officials have screwed up 332 00:19:41,640 --> 00:19:45,399 Speaker 1: by crying wolf too many times. You know, flu shots 333 00:19:45,400 --> 00:19:50,159 Speaker 1: are down this year from the normal flu season pre pandemic, 334 00:19:50,640 --> 00:19:53,160 Speaker 1: and we've got a really bad flu season. Now, why 335 00:19:53,160 --> 00:19:55,520 Speaker 1: are a few of people taking a flu shot because 336 00:19:55,560 --> 00:19:58,160 Speaker 1: they've cried wolf too many times? And when it comes 337 00:19:58,200 --> 00:20:02,720 Speaker 1: to children, they did it with no supporting data. With children, 338 00:20:03,720 --> 00:20:06,440 Speaker 1: no one can tell you in the United States how 339 00:20:06,480 --> 00:20:10,520 Speaker 1: many healthy children have ever died of COVID, if any. So, 340 00:20:10,560 --> 00:20:13,720 Speaker 1: if the CDC director can't tell you, and public health 341 00:20:13,760 --> 00:20:17,159 Speaker 1: officials in FAUCI can't tell you, how on earth do 342 00:20:17,240 --> 00:20:22,040 Speaker 1: they have so much absolutism They're recommending a vaccine which 343 00:20:22,160 --> 00:20:24,680 Speaker 1: for which we know at least some people have died. 344 00:20:25,240 --> 00:20:29,160 Speaker 1: When you don't know the risk benefit calculation. I don't 345 00:20:29,240 --> 00:20:33,360 Speaker 1: understand the lack of humility. It's turned people off. And 346 00:20:33,400 --> 00:20:36,600 Speaker 1: the reality is that some people may benefit from some interventions, 347 00:20:36,600 --> 00:20:38,639 Speaker 1: but they're not even going to get them because of 348 00:20:38,680 --> 00:20:42,560 Speaker 1: the Public Health Trust being in the toilet and doctor 349 00:20:42,640 --> 00:20:45,880 Speaker 1: McCarry just so, does it work clear? What is considered 350 00:20:46,560 --> 00:20:50,199 Speaker 1: within the medical community at this point? Fully vaccinated? I 351 00:20:50,200 --> 00:20:53,199 Speaker 1: mean does that for COVID? Is that is, are we 352 00:20:53,320 --> 00:20:58,040 Speaker 1: on shot five now or is it four? And if 353 00:20:58,040 --> 00:21:02,360 Speaker 1: it's not five, when does it become five? Well, look, 354 00:21:02,440 --> 00:21:04,119 Speaker 1: let's be honest. If it were up to some people, 355 00:21:04,119 --> 00:21:06,280 Speaker 1: you'd be getting a booster every Monday morning when you 356 00:21:06,359 --> 00:21:10,160 Speaker 1: show up at work. But what they're calling fully vaccinated 357 00:21:10,760 --> 00:21:14,359 Speaker 1: is getting the bivalent, the new bivalent vaccine, which is 358 00:21:14,400 --> 00:21:19,760 Speaker 1: an omicron specific vaccine, and having had the primary series, 359 00:21:19,800 --> 00:21:25,360 Speaker 1: they'll consider that fully vaccinated. Now bivalent data, I'd love 360 00:21:25,400 --> 00:21:29,840 Speaker 1: to see it. There's no randomized control trial instead of 361 00:21:29,960 --> 00:21:34,479 Speaker 1: vactor Fauci's spending one point two billion dollars to study 362 00:21:34,520 --> 00:21:37,920 Speaker 1: long COVID, how about which has yielded nothing. How about 363 00:21:37,960 --> 00:21:43,000 Speaker 1: doing one randomized control trial on the bivalent vaccine before 364 00:21:43,119 --> 00:21:45,560 Speaker 1: blasting it out to the world. They got a problem. 365 00:21:45,600 --> 00:21:48,720 Speaker 1: They bought one hundred and seventy one million doses, but 366 00:21:48,840 --> 00:21:52,119 Speaker 1: only forty million have been used after three months of 367 00:21:52,119 --> 00:21:54,919 Speaker 1: them hammering it into the American public to get it, 368 00:21:55,359 --> 00:21:58,000 Speaker 1: so they have a stockpile problem. If they want to 369 00:21:58,000 --> 00:22:02,159 Speaker 1: fix that problem, produce some good clinical data and then 370 00:22:02,400 --> 00:22:04,480 Speaker 1: people will trust them. Can can? I ask you, doctor, 371 00:22:04,720 --> 00:22:07,120 Speaker 1: do you think do you think they actually could. Let's 372 00:22:07,119 --> 00:22:08,879 Speaker 1: say they were just going to be totally honest about 373 00:22:08,920 --> 00:22:12,040 Speaker 1: it and they showed the clinical data. Do you think 374 00:22:12,080 --> 00:22:14,040 Speaker 1: it would be strong or would it be like, man, 375 00:22:14,480 --> 00:22:17,280 Speaker 1: it's not really that good of a shot. I think 376 00:22:17,280 --> 00:22:20,800 Speaker 1: it would probably be like the flu shot this year 377 00:22:21,560 --> 00:22:28,400 Speaker 1: probably reduces a symptomatic infection by about twenty percent with 378 00:22:28,400 --> 00:22:31,120 Speaker 1: the major strain and doesn't work against the other strains. 379 00:22:31,200 --> 00:22:33,960 Speaker 1: That's probably what it might show. I might recommend it 380 00:22:34,000 --> 00:22:37,520 Speaker 1: for a person who's high risk and has not had 381 00:22:37,560 --> 00:22:41,000 Speaker 1: COVID this year. So if we're talking flu shot, right, Doc, 382 00:22:41,119 --> 00:22:43,480 Speaker 1: We've we've gone full circle. Now this is basically like 383 00:22:43,560 --> 00:22:47,560 Speaker 1: the flu shot, but for COVID it's it's similar. I 384 00:22:47,560 --> 00:22:49,520 Speaker 1: think the data would be similar to the flu shot, 385 00:22:49,520 --> 00:22:53,000 Speaker 1: but the by vallet vaccine. If we had good data, 386 00:22:53,040 --> 00:22:55,200 Speaker 1: I might recommend it for a high risk people person 387 00:22:55,240 --> 00:22:57,600 Speaker 1: who's not had COVID, which is I don't know if 388 00:22:57,640 --> 00:23:02,720 Speaker 1: anyone exists who's not had COVID anymore. When you see 389 00:23:02,960 --> 00:23:05,200 Speaker 1: last question for you or McCarry and I appreciate you 390 00:23:05,280 --> 00:23:08,199 Speaker 1: coming on. When you see that there are some cities 391 00:23:08,680 --> 00:23:14,399 Speaker 1: recommending that kids be put back in maps, how infuriating 392 00:23:14,520 --> 00:23:18,080 Speaker 1: is that to you as someone who actually looks at 393 00:23:18,080 --> 00:23:21,760 Speaker 1: the science. Well, all you have to do is look 394 00:23:21,800 --> 00:23:24,840 Speaker 1: at the test scores and the rates of depression and anxiety, 395 00:23:25,680 --> 00:23:27,720 Speaker 1: or talk to a child and ask them if they're 396 00:23:27,720 --> 00:23:30,280 Speaker 1: happy or sad covering their face for a year and 397 00:23:30,280 --> 00:23:34,439 Speaker 1: a half. The sad part about this whole thing is 398 00:23:35,080 --> 00:23:37,400 Speaker 1: the New York Times or any one of these other 399 00:23:38,240 --> 00:23:41,720 Speaker 1: so called news organizations could have sent one reporter to 400 00:23:41,760 --> 00:23:45,720 Speaker 1: Europe and maybe covered any one of the tens of 401 00:23:45,800 --> 00:23:47,960 Speaker 1: thousands of schools that have been open, free and clear 402 00:23:48,000 --> 00:23:51,840 Speaker 1: without masks, or cover the WHO or the European CDC 403 00:23:52,080 --> 00:23:56,720 Speaker 1: recommendations which specifically say do not cover the faces of 404 00:23:56,800 --> 00:24:01,720 Speaker 1: children with masks during COVID because of the downstream psychological harm. 405 00:24:01,840 --> 00:24:04,560 Speaker 1: I wish anyone would have covered that instead of making 406 00:24:04,640 --> 00:24:08,359 Speaker 1: it sound like you're promoting misinformation by pointing out the 407 00:24:08,440 --> 00:24:12,960 Speaker 1: harms masks have in schools have had no impact on transmission. 408 00:24:13,000 --> 00:24:16,000 Speaker 1: It's been well studied in the Spanish and the Finnish study. 409 00:24:16,720 --> 00:24:20,440 Speaker 1: US public health officials are just choosing to ignore those studies, 410 00:24:21,640 --> 00:24:24,680 Speaker 1: Doctor Marty McCarry. I mean, there's a couple of docs. 411 00:24:24,680 --> 00:24:26,320 Speaker 1: There's you, there's a few others that will tell the 412 00:24:26,359 --> 00:24:29,840 Speaker 1: truth on this stuff. The cowardice within the medical medical 413 00:24:29,840 --> 00:24:32,639 Speaker 1: community is honestly studying I mean, Clay, It's it's almost 414 00:24:32,680 --> 00:24:35,560 Speaker 1: like the athletic community where people will pretend that men 415 00:24:35,640 --> 00:24:37,800 Speaker 1: don't have an advantage in sports against women. You know, 416 00:24:37,920 --> 00:24:40,720 Speaker 1: it's just getting crazy. Democrats are the party of anti 417 00:24:40,720 --> 00:24:42,480 Speaker 1: science now. I don't think there's any other way to 418 00:24:42,520 --> 00:24:45,480 Speaker 1: convey it. Doc, thanks for being with us. Appreciate you, sir. 419 00:24:46,119 --> 00:24:49,080 Speaker 1: Good to be with you. Guys. Thanks. I want to 420 00:24:49,119 --> 00:24:51,239 Speaker 1: give yourself a gift this season that will benefit you 421 00:24:51,280 --> 00:24:53,800 Speaker 1: all year round. I mean a gift that you'll enjoy 422 00:24:54,040 --> 00:24:56,760 Speaker 1: for years. Well, that'll make you extremely comfortable, I mean 423 00:24:57,240 --> 00:25:00,480 Speaker 1: luxurious comfortable when you sit in it. The X chair, 424 00:25:00,560 --> 00:25:03,760 Speaker 1: my friends, it's the finest office chair you're gonna find anywhere, 425 00:25:04,040 --> 00:25:05,160 Speaker 1: and it's the one that I sit in every day. 426 00:25:05,160 --> 00:25:09,240 Speaker 1: I'm actually sitting in X chair right now. Mine is 427 00:25:09,720 --> 00:25:12,440 Speaker 1: this kind of light blue color. It's got this special 428 00:25:12,520 --> 00:25:16,000 Speaker 1: foam memory foam seating. It's super comfortable. I've got a 429 00:25:16,000 --> 00:25:19,560 Speaker 1: little massage pack on it. 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Make the 439 00:25:47,040 --> 00:25:49,840 Speaker 1: right investment for your body and your business. Go to 440 00:25:50,160 --> 00:25:53,800 Speaker 1: x chairbuck dot com x chairbuck dot com and you'll 441 00:25:53,840 --> 00:25:57,280 Speaker 1: save an extra ten percent, but only through midnight tonight. 442 00:25:57,320 --> 00:26:03,920 Speaker 1: So go to xchairbuck dot com. Got our friend Andy 443 00:26:04,119 --> 00:26:07,040 Speaker 1: McCarthy with us now here on Clay and Buck. He's 444 00:26:07,080 --> 00:26:10,520 Speaker 1: of course of National Review and Fox News, where he's 445 00:26:10,520 --> 00:26:14,320 Speaker 1: a contributor. He's got get another piece He's got fabulous 446 00:26:14,320 --> 00:26:17,280 Speaker 1: pieces out on a regular basis at National Review, and 447 00:26:17,400 --> 00:26:20,600 Speaker 1: he was a federal prosecutor for the Southern District of 448 00:26:20,640 --> 00:26:23,280 Speaker 1: New York for over twenty years. Andy, great to have 449 00:26:23,359 --> 00:26:27,160 Speaker 1: you back, sir. Merry Christmas, guys, how are you Merry Christmas? 450 00:26:28,160 --> 00:26:30,160 Speaker 1: We're pretty good. And if you want to ask Clay 451 00:26:30,160 --> 00:26:32,399 Speaker 1: a baseball question at the end, just to stretch his 452 00:26:32,520 --> 00:26:35,240 Speaker 1: sports knowledge, and because I know you're a super baseball 453 00:26:35,600 --> 00:26:39,000 Speaker 1: and he loves baseball, slash coaches baseball or takes his 454 00:26:39,080 --> 00:26:41,080 Speaker 1: kids to Little Yankees or a Mets guy. You're a 455 00:26:41,119 --> 00:26:43,840 Speaker 1: New Yorker, right, I'm not only a Mets guy. I'm 456 00:26:43,960 --> 00:26:46,760 Speaker 1: I'm like, I can't tell you how enthusiastic I am 457 00:26:46,800 --> 00:26:50,200 Speaker 1: that we've spent ninety million dollars on two forty year 458 00:26:50,200 --> 00:26:52,600 Speaker 1: old pitchers. Like, hey, you know what's great about this 459 00:26:52,920 --> 00:26:55,440 Speaker 1: is you poor bastard. First of all, I'm a Braves fan, 460 00:26:55,480 --> 00:26:57,080 Speaker 1: and it doesn't matter what you guys spin, you're still 461 00:26:57,080 --> 00:26:59,600 Speaker 1: gonna lose the Braves. But I can't imagine living in 462 00:26:59,600 --> 00:27:04,280 Speaker 1: New York can be a Mets guy. In the old days, 463 00:27:04,440 --> 00:27:08,040 Speaker 1: New York was a National League city. Um, you know 464 00:27:08,119 --> 00:27:10,639 Speaker 1: that that changed. I think in the nineties when the 465 00:27:10,680 --> 00:27:13,159 Speaker 1: Yankees had direct this is what happens when opened I 466 00:27:13,160 --> 00:27:15,520 Speaker 1: opened the sports conversation Andy, we want to get to 467 00:27:15,600 --> 00:27:21,360 Speaker 1: the breaking news here and into k Yeah, we got 468 00:27:21,359 --> 00:27:25,199 Speaker 1: Andy line five. Go, um, the curious timing of Sam 469 00:27:25,280 --> 00:27:28,800 Speaker 1: Bankman freeds arrest. I mean, we want to know about 470 00:27:28,800 --> 00:27:30,800 Speaker 1: the curious timing, which you wrote about a national review, 471 00:27:30,840 --> 00:27:33,480 Speaker 1: but but also just what's going on here? I mean, 472 00:27:33,840 --> 00:27:37,080 Speaker 1: is this guy you used to know Andy, is someone 473 00:27:37,160 --> 00:27:40,800 Speaker 1: going away? Is he going away? Well, it sure looks 474 00:27:40,840 --> 00:27:42,920 Speaker 1: like that to me. But you know, I think here's 475 00:27:42,920 --> 00:27:45,080 Speaker 1: an important part of this fuck that I hope that 476 00:27:45,880 --> 00:27:50,120 Speaker 1: what I'm worried about. I'm kind of agnostics on cryptocurrency. 477 00:27:50,480 --> 00:27:53,040 Speaker 1: There's really smart people who think it's a Ponzi scheme, 478 00:27:53,040 --> 00:27:55,600 Speaker 1: and there's other really smart people like George Gilder, who 479 00:27:55,760 --> 00:27:58,880 Speaker 1: you know, write books about how it's the future. Um, 480 00:27:58,920 --> 00:28:01,280 Speaker 1: so I don't know. But here's what I do know. 481 00:28:02,200 --> 00:28:05,359 Speaker 1: This was just standard fraud. I mean, it happens in 482 00:28:05,400 --> 00:28:09,560 Speaker 1: the context of cryptocurrency, but this could have been like 483 00:28:09,680 --> 00:28:14,879 Speaker 1: you know, fea currency or bonds or stocks or you know, 484 00:28:14,960 --> 00:28:19,840 Speaker 1: fine art. This is just like a standard fraud scheme 485 00:28:20,240 --> 00:28:24,280 Speaker 1: where somebody gets money from investors, sets up another vehicle, 486 00:28:24,920 --> 00:28:28,280 Speaker 1: transfers to funds, and then converts it to his own purposes. 487 00:28:28,320 --> 00:28:32,000 Speaker 1: That's the allegation. And what I think what I'd be 488 00:28:32,119 --> 00:28:36,639 Speaker 1: concerned about here is, you know, the Biben administration, the 489 00:28:36,800 --> 00:28:39,920 Speaker 1: sec Democrats that you know, they see something that they 490 00:28:39,920 --> 00:28:42,600 Speaker 1: don't think is regulated enough, and they want to regulate it. 491 00:28:42,640 --> 00:28:45,800 Speaker 1: And if they think there's some catastrophe that gives them 492 00:28:45,840 --> 00:28:48,200 Speaker 1: the you know, the crisis, they need to come in 493 00:28:48,240 --> 00:28:51,680 Speaker 1: and do their you know, sort of suffocating regulation, they'll 494 00:28:51,720 --> 00:28:53,920 Speaker 1: do that. And I'd hate to see them do that 495 00:28:53,960 --> 00:28:57,240 Speaker 1: to crypto because I don't think this is like a 496 00:28:57,320 --> 00:29:01,000 Speaker 1: typical crypto scheme. You know, maybe beat crypto needs to 497 00:29:01,040 --> 00:29:04,400 Speaker 1: be regulated on its own merits, but I wouldn't do 498 00:29:04,440 --> 00:29:06,440 Speaker 1: it in a hot panic because these guys are like, 499 00:29:06,760 --> 00:29:09,760 Speaker 1: you know, desperate to regulate stuff. Andy, when you see 500 00:29:09,800 --> 00:29:12,880 Speaker 1: these charges coming down and we know that sam bankm 501 00:29:12,880 --> 00:29:16,520 Speaker 1: Freed is still in control of Bohemian authorities, they haven't 502 00:29:16,560 --> 00:29:19,800 Speaker 1: yet brought him to the United States. What kind of 503 00:29:19,880 --> 00:29:24,040 Speaker 1: jail time in your experience would charges like these typically 504 00:29:24,920 --> 00:29:28,200 Speaker 1: sort of lead to and or what kind of expectation 505 00:29:28,280 --> 00:29:32,120 Speaker 1: would you have you know, I think the last one 506 00:29:32,160 --> 00:29:35,520 Speaker 1: of these I remember is I think Bernie made off. 507 00:29:36,480 --> 00:29:41,200 Speaker 1: The judge had a depart downward in the sentencing guidelines 508 00:29:41,240 --> 00:29:43,920 Speaker 1: to get him down to about thirty years because the 509 00:29:44,600 --> 00:29:47,320 Speaker 1: numbers were off the charts, and whenever you see these 510 00:29:47,360 --> 00:29:53,040 Speaker 1: two words associated with financial crimes money laundering, what that 511 00:29:53,160 --> 00:29:57,360 Speaker 1: ends up doing is turbo charging the both the prison 512 00:29:57,440 --> 00:30:01,920 Speaker 1: exposure and the way the sentencing guideline us work. So 513 00:30:02,240 --> 00:30:05,280 Speaker 1: you know, if he gets convicted on so far they 514 00:30:05,400 --> 00:30:08,480 Speaker 1: brought eight counts, I would seriously doubt this is the 515 00:30:08,560 --> 00:30:12,240 Speaker 1: last indictment. I think this is the opening salvo to 516 00:30:12,280 --> 00:30:16,520 Speaker 1: get him extradited. But I mean, he's going to be 517 00:30:16,600 --> 00:30:21,280 Speaker 1: looking at potentially life in prison. Would you That's what 518 00:30:21,320 --> 00:30:24,400 Speaker 1: I was going to ask. Would you expect that legitimately 519 00:30:24,520 --> 00:30:26,840 Speaker 1: and not one of those situations where you have like 520 00:30:27,240 --> 00:30:30,320 Speaker 1: forty different charges all adding up to life in prison. 521 00:30:30,400 --> 00:30:33,400 Speaker 1: But I mean, based on what they are throwing at him, 522 00:30:33,880 --> 00:30:36,000 Speaker 1: you think he could be staring down as a thirty 523 00:30:36,080 --> 00:30:38,680 Speaker 1: year old guy spending the rest of his life in prison. 524 00:30:39,320 --> 00:30:43,920 Speaker 1: So what the federal law tries to do is end 525 00:30:44,000 --> 00:30:49,440 Speaker 1: the ability of prosecutors to get people long sentences by 526 00:30:49,480 --> 00:30:53,400 Speaker 1: stacking counts. So you know, what the guidelines do is 527 00:30:53,720 --> 00:30:56,480 Speaker 1: they try to implement what they call real offense sentencing, 528 00:30:56,880 --> 00:30:59,600 Speaker 1: so that no matter how many counts there are, what 529 00:30:59,720 --> 00:31:02,760 Speaker 1: matters is the guidelines calculation. But the thing is with 530 00:31:02,880 --> 00:31:07,120 Speaker 1: financial fraud, once you get to nine digits, that's like, 531 00:31:07,400 --> 00:31:10,680 Speaker 1: you know, I mean, that's through the ceiling. Yeah, and 532 00:31:10,720 --> 00:31:13,040 Speaker 1: then there's all kinds of enhancements for the fact that 533 00:31:13,080 --> 00:31:16,240 Speaker 1: you're the you know, you're the one who designs the fraud. 534 00:31:16,280 --> 00:31:18,720 Speaker 1: And if you run something that's got you know, five 535 00:31:18,800 --> 00:31:20,800 Speaker 1: or more people in it, and there's all kinds of 536 00:31:20,840 --> 00:31:24,880 Speaker 1: stuff that they could raise us on. So he's looking 537 00:31:24,920 --> 00:31:27,360 Speaker 1: at lots of time if he gets convicted of these charges. 538 00:31:27,400 --> 00:31:30,680 Speaker 1: We're speaking of Andy McCarthy, Fox News contributor, National Review 539 00:31:30,720 --> 00:31:35,200 Speaker 1: writer and Southern District of New York career prosecutor. Andy, 540 00:31:36,320 --> 00:31:39,520 Speaker 1: what about this defense that I'm assuming and I think 541 00:31:39,560 --> 00:31:41,840 Speaker 1: most folks paying attention to this trial or assuming some 542 00:31:42,000 --> 00:31:45,440 Speaker 1: version of this based on Sam Bankman freed statements, which 543 00:31:45,960 --> 00:31:49,760 Speaker 1: you know, right, Usually when someone's you know, facing the 544 00:31:49,840 --> 00:31:52,240 Speaker 1: kind of charges the kind of wait this guy's facing, 545 00:31:52,280 --> 00:31:54,120 Speaker 1: they don't go around on a press tour. But he's 546 00:31:54,120 --> 00:31:58,760 Speaker 1: basically been doing that. But what about this defense, Andy, 547 00:31:59,280 --> 00:32:02,400 Speaker 1: it's just super complicated. I got over my head and 548 00:32:02,440 --> 00:32:06,240 Speaker 1: I didn't mean anyone any financial harm. Yeah, you know, 549 00:32:06,480 --> 00:32:08,520 Speaker 1: one of the reasons fuck that I made the point 550 00:32:08,520 --> 00:32:11,040 Speaker 1: at the beginning about this not being so much steeped 551 00:32:11,040 --> 00:32:16,080 Speaker 1: in the esoterica of of cryptocurrency is I really think 552 00:32:16,600 --> 00:32:18,320 Speaker 1: this is not going to be a hard fraud for 553 00:32:18,360 --> 00:32:22,720 Speaker 1: people to understand. You know, you take money from people, 554 00:32:23,440 --> 00:32:26,640 Speaker 1: you make certain representations to them about why you're taking 555 00:32:26,640 --> 00:32:29,160 Speaker 1: it from them and what they should expect, and then 556 00:32:29,200 --> 00:32:31,160 Speaker 1: you convert it to your own use. And if what 557 00:32:31,280 --> 00:32:35,560 Speaker 1: the Justice Department says in the charging documents is true, 558 00:32:36,400 --> 00:32:41,520 Speaker 1: what he did throughout the scheme was little accounting tricks 559 00:32:42,480 --> 00:32:46,040 Speaker 1: within the system that they did their book keeping boats 560 00:32:46,080 --> 00:32:50,120 Speaker 1: for FTX and for his other you know side thing 561 00:32:50,160 --> 00:32:54,640 Speaker 1: that he that he showed everything over to Alameda. Those 562 00:32:54,680 --> 00:32:57,840 Speaker 1: are the kinds of things that get people convicted because 563 00:32:57,840 --> 00:33:02,680 Speaker 1: they're you know, they showness of guilt. And he's not 564 00:33:02,800 --> 00:33:07,040 Speaker 1: helping himself obviously by doing this tour, as you say, 565 00:33:07,000 --> 00:33:09,440 Speaker 1: you know, it's highly unusual for somebody to do a 566 00:33:09,480 --> 00:33:12,880 Speaker 1: press tour under these circumstances where you're like a main 567 00:33:13,000 --> 00:33:15,880 Speaker 1: suspect in a big fraud, but it usually doesn't happen 568 00:33:15,920 --> 00:33:19,120 Speaker 1: to someone whose parents. As Stanford law professor, so I'm 569 00:33:19,160 --> 00:33:22,880 Speaker 1: a little puzzled. So, Andy, would you expect that there 570 00:33:22,880 --> 00:33:26,520 Speaker 1: will be other people indicted based on what's going on here? 571 00:33:26,600 --> 00:33:28,320 Speaker 1: Would you expect that there will be a lot of 572 00:33:28,320 --> 00:33:32,080 Speaker 1: people who will flip and testify against him? In your experience, 573 00:33:32,240 --> 00:33:35,760 Speaker 1: what would a prosecution end up looking like given the 574 00:33:35,840 --> 00:33:40,520 Speaker 1: voluminous nature of this alleged fraud. Yeah, I think, Clay, 575 00:33:40,560 --> 00:33:44,880 Speaker 1: that that's like the main thing to take away from 576 00:33:44,920 --> 00:33:48,719 Speaker 1: these indictments, because I'm if I'm counting, if I'm remembering right, 577 00:33:48,720 --> 00:33:53,080 Speaker 1: it's either three conspiracy charges of four conspiracy conspiracy charges, 578 00:33:53,440 --> 00:33:55,960 Speaker 1: and everything in the indictment has played as a scheme, 579 00:33:56,000 --> 00:33:59,960 Speaker 1: which usually implies more than one people. But under federal law, 580 00:34:00,080 --> 00:34:03,520 Speaker 1: in any law, in fact, you can't conspire by yourself. 581 00:34:03,640 --> 00:34:06,520 Speaker 1: It takes two to tango, as they say, right, So 582 00:34:07,320 --> 00:34:10,200 Speaker 1: the fact that they brought at least three conspiracy charges 583 00:34:10,320 --> 00:34:13,919 Speaker 1: indicates to me that they already have identified people who 584 00:34:13,920 --> 00:34:16,920 Speaker 1: have to be co conspirators. So I would expect if 585 00:34:16,960 --> 00:34:20,160 Speaker 1: you don't see more indictments, it could be because people 586 00:34:20,160 --> 00:34:24,440 Speaker 1: are cooperating already and you'll see you guilty plea agreements 587 00:34:24,440 --> 00:34:27,000 Speaker 1: and that sort of stuff. But it just seems like 588 00:34:27,520 --> 00:34:33,120 Speaker 1: it's it's inescapable that if they're charging conspiracies, you don't 589 00:34:33,160 --> 00:34:35,080 Speaker 1: want to give him a defense that you know he 590 00:34:35,280 --> 00:34:38,239 Speaker 1: can't be guilty of conspiracy because there's no other conspirators, right, 591 00:34:38,280 --> 00:34:40,560 Speaker 1: so they have to have other people. Andy, I know 592 00:34:40,640 --> 00:34:43,359 Speaker 1: you're not a DJ at a wedding taking request here, 593 00:34:43,400 --> 00:34:45,160 Speaker 1: but can we for the next time we have you 594 00:34:45,200 --> 00:34:46,480 Speaker 1: all when you take a look at what's going on, 595 00:34:46,480 --> 00:34:48,640 Speaker 1: because Clay and I are really focused in on Idaho 596 00:34:49,080 --> 00:34:53,560 Speaker 1: and this case of the four murders there, because we 597 00:34:53,600 --> 00:34:55,640 Speaker 1: want to have you, after you've done a deep dive, 598 00:34:55,640 --> 00:34:57,719 Speaker 1: come back and tell us what you think is going on, 599 00:34:57,760 --> 00:34:59,560 Speaker 1: because I know you've handled a lot of violent crime 600 00:34:59,560 --> 00:35:01,799 Speaker 1: stuff the Southern District, So can we can we put 601 00:35:01,840 --> 00:35:04,239 Speaker 1: that request in with you? Oh? Yeah, no, i'd be 602 00:35:04,440 --> 00:35:08,560 Speaker 1: I'm glad that your producer raised with me, and I'm 603 00:35:08,560 --> 00:35:10,960 Speaker 1: glad he did because I haven't. I've been running a 604 00:35:11,040 --> 00:35:13,160 Speaker 1: randle bit so this is the first because this one, 605 00:35:13,200 --> 00:35:15,319 Speaker 1: I mean, people are literally being kept up at night 606 00:35:15,320 --> 00:35:17,960 Speaker 1: in Idaho over I mean they're terrified given what happened there, 607 00:35:18,000 --> 00:35:21,280 Speaker 1: and there's just right now, nothing in terms of leads, 608 00:35:21,320 --> 00:35:23,160 Speaker 1: nothing in terms of any kind of break in the case. 609 00:35:23,200 --> 00:35:24,960 Speaker 1: So we'd love to bring your expertise to that one 610 00:35:25,200 --> 00:35:27,840 Speaker 1: and everybody should go. Read Andy on Sam Bankman, Freed 611 00:35:28,200 --> 00:35:30,920 Speaker 1: and the collapse of FTX over at Nashal Review. Andy, 612 00:35:30,960 --> 00:35:33,839 Speaker 1: I always appreciate you, by friend, Thanks for being with us. Thanks, guys, 613 00:35:33,880 --> 00:35:38,680 Speaker 1: appreciate it. Gun owners in afficionados, if keeping your your 614 00:35:38,680 --> 00:35:41,200 Speaker 1: shooting skills sharp is important to you, there's a great 615 00:35:41,200 --> 00:35:42,960 Speaker 1: new device you want to get for yourself. It's called 616 00:35:42,960 --> 00:35:45,000 Speaker 1: the Mantis X and it's a way for you to 617 00:35:45,000 --> 00:35:47,520 Speaker 1: train your shooting accuracy right from the comfort of your 618 00:35:47,560 --> 00:35:50,840 Speaker 1: own home. 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That's m A n 636 00:36:39,719 --> 00:36:45,640 Speaker 1: tis x dot com. Welcome back in the final hour 637 00:36:45,760 --> 00:36:49,239 Speaker 1: Tuesday edition Clay Travis buck Sexton Show. Appreciate all of 638 00:36:49,280 --> 00:36:52,759 Speaker 1: you hanging out with us. Encourage you to go. Make 639 00:36:52,800 --> 00:36:55,960 Speaker 1: sure that you subscribe to the Clay Travis buck Sexton 640 00:36:56,040 --> 00:36:59,120 Speaker 1: Podcast so you do not miss a moment of the show, 641 00:36:59,160 --> 00:37:01,840 Speaker 1: particularly as we come up on the holiday season. Kids 642 00:37:01,840 --> 00:37:04,440 Speaker 1: getting out of school soon, lots of travel. You may 643 00:37:04,480 --> 00:37:06,640 Speaker 1: well be all over the place. You can take us 644 00:37:06,680 --> 00:37:09,200 Speaker 1: with you wherever we go. Also want to thank you. 645 00:37:09,880 --> 00:37:13,680 Speaker 1: Saw data the other day top ten biggest markets that 646 00:37:13,760 --> 00:37:16,600 Speaker 1: have us. We set an all time high for the 647 00:37:16,680 --> 00:37:20,279 Speaker 1: number of you that are streaming the show, and that 648 00:37:20,480 --> 00:37:23,360 Speaker 1: was at the end of November. So thank you for 649 00:37:23,440 --> 00:37:25,799 Speaker 1: everybody out there who is streaming. Certainly we love all 650 00:37:25,800 --> 00:37:28,200 Speaker 1: of you at the four hundred and fifty stations nationwide 651 00:37:28,239 --> 00:37:31,759 Speaker 1: listening on traditional radios podcast however you are finding us, 652 00:37:31,800 --> 00:37:35,440 Speaker 1: We're glad you're with us, as we are joined by 653 00:37:35,760 --> 00:37:40,040 Speaker 1: Stephen Miller and Stephen. When Buck and I saw the 654 00:37:40,160 --> 00:37:44,160 Speaker 1: great work that's being done right now by Bill Mulujion 655 00:37:44,239 --> 00:37:46,719 Speaker 1: down on the border, he works for Fox News, it 656 00:37:46,760 --> 00:37:50,480 Speaker 1: feels oftentimes like he's the only journalist down there showing 657 00:37:50,480 --> 00:37:54,280 Speaker 1: the situation in El Paso, Texas with a thousand people 658 00:37:54,400 --> 00:37:58,040 Speaker 1: essentially waiting to come across the border. It's never been 659 00:37:58,080 --> 00:38:00,640 Speaker 1: this bad. How much worse do you think it's going 660 00:38:00,680 --> 00:38:02,319 Speaker 1: to get as we come up on the end of 661 00:38:02,320 --> 00:38:05,839 Speaker 1: this year and begin twenty twenty three. Well, first, let 662 00:38:05,840 --> 00:38:08,719 Speaker 1: me also agree with you about Bill mlusion and what 663 00:38:08,920 --> 00:38:13,040 Speaker 1: an invaluable service he's providing. It's a huge indictment of 664 00:38:13,080 --> 00:38:17,279 Speaker 1: the entire media and corporate press in this country that, 665 00:38:17,520 --> 00:38:21,080 Speaker 1: with a handful of minor receptions, Bill is the only 666 00:38:21,120 --> 00:38:26,239 Speaker 1: one down there reporting, providing imagery, providing video, and it 667 00:38:26,280 --> 00:38:28,760 Speaker 1: shows you the media is not interested first and foremost 668 00:38:28,800 --> 00:38:32,959 Speaker 1: in profit, but in ideology, because imagine how much better 669 00:38:33,000 --> 00:38:36,719 Speaker 1: the ratings would be on our dying nightly news programs 670 00:38:37,160 --> 00:38:40,799 Speaker 1: if they sent cameras down there too, and spent their 671 00:38:40,840 --> 00:38:43,640 Speaker 1: whole broadcast talking about what's happening on our border. They 672 00:38:43,640 --> 00:38:46,480 Speaker 1: would double triple the ratings from Americans seeing this for 673 00:38:46,520 --> 00:38:47,759 Speaker 1: the first time. But they're not going to do that, 674 00:38:47,800 --> 00:38:51,560 Speaker 1: of course. To answer your question, the scariest thing is 675 00:38:51,560 --> 00:38:53,319 Speaker 1: that there's no limit to how bad it can get. 676 00:38:53,880 --> 00:38:57,719 Speaker 1: This is the fundamental mass problem of illegal immigration and 677 00:38:57,719 --> 00:38:59,400 Speaker 1: how we have to change the way we think about it. 678 00:39:00,320 --> 00:39:03,520 Speaker 1: And what I mean by that is this for most 679 00:39:03,560 --> 00:39:06,920 Speaker 1: of the last fifty years, so we're actually even going 680 00:39:06,960 --> 00:39:10,600 Speaker 1: back to further. Basically to the Eisenhower administration, illegal immigration 681 00:39:10,800 --> 00:39:14,160 Speaker 1: was a bilateral problem between Mexico and the United States, 682 00:39:14,560 --> 00:39:19,600 Speaker 1: where Mexican illegal immigrants, mostly single adult males, would come 683 00:39:19,600 --> 00:39:21,839 Speaker 1: to the United States, and this was of course a 684 00:39:21,920 --> 00:39:26,160 Speaker 1: significant problem, but it was also a manageable problem. Then 685 00:39:26,239 --> 00:39:30,719 Speaker 1: would started happening with the availability of mass transit, the 686 00:39:30,760 --> 00:39:34,280 Speaker 1: ability of people to be able to come from pretty 687 00:39:34,360 --> 00:39:36,920 Speaker 1: much any country in the world and get to Mexico 688 00:39:37,040 --> 00:39:40,120 Speaker 1: even with only a relatively small amount of money. Open 689 00:39:40,200 --> 00:39:42,799 Speaker 1: this thing up to the whole of planet Earth. So 690 00:39:42,880 --> 00:39:45,000 Speaker 1: now you have a situation where there's a few billion 691 00:39:45,040 --> 00:39:48,400 Speaker 1: people in the world whose financial situation would be bettered 692 00:39:48,640 --> 00:39:50,880 Speaker 1: they come to the United States, and even working for 693 00:39:50,920 --> 00:39:53,400 Speaker 1: half of the minimum wage, that would double or triple 694 00:39:53,800 --> 00:39:55,520 Speaker 1: the incomes they've been living in on their whole lives. 695 00:39:55,520 --> 00:39:59,759 Speaker 1: Plus free medical care, free education, free everything. So there's 696 00:39:59,840 --> 00:40:03,359 Speaker 1: no limit long story short to how bad it can get, 697 00:40:03,440 --> 00:40:05,920 Speaker 1: and it will get unless the new Republican House can 698 00:40:05,920 --> 00:40:11,040 Speaker 1: step in. How do we change this situation? Stephen? You 699 00:40:11,080 --> 00:40:14,839 Speaker 1: know you really were somebody who during the Trump administration 700 00:40:15,120 --> 00:40:17,120 Speaker 1: we could count on you when you'd speak of this 701 00:40:17,160 --> 00:40:20,879 Speaker 1: issue of immigration, where there's so much speaking of disinformation 702 00:40:20,920 --> 00:40:23,920 Speaker 1: that's out there, and honestly, so many obfuscations and lies 703 00:40:24,360 --> 00:40:27,360 Speaker 1: the Democrats tell on this issue. One of the biggest 704 00:40:27,360 --> 00:40:29,680 Speaker 1: ones is that they wanted to stop. I don't believe 705 00:40:29,960 --> 00:40:31,680 Speaker 1: they wanted to stop at all. I think that's become 706 00:40:31,719 --> 00:40:35,200 Speaker 1: abundantly clear. What does it look like to make it stop? 707 00:40:35,239 --> 00:40:37,719 Speaker 1: How do we change the incentive structure that you just 708 00:40:37,800 --> 00:40:40,719 Speaker 1: laid out. Well, fortunately you'ven invited exactly the right person 709 00:40:40,719 --> 00:40:45,120 Speaker 1: on your show to answer that question. And there's only 710 00:40:45,200 --> 00:40:48,880 Speaker 1: one thing, not two, not three, not four. There's one 711 00:40:49,360 --> 00:40:52,799 Speaker 1: thing that has to be done, and that is that 712 00:40:52,920 --> 00:40:56,120 Speaker 1: we have to get a spending bill that a short 713 00:40:56,239 --> 00:40:58,359 Speaker 1: term in the next year. So that means forty one 714 00:40:58,400 --> 00:41:01,160 Speaker 1: Republican senators have to the OMNI and I'll return to 715 00:41:01,200 --> 00:41:02,840 Speaker 1: that point in the second of thee of time. So 716 00:41:02,920 --> 00:41:05,560 Speaker 1: you end up in say January February, you've got a 717 00:41:05,560 --> 00:41:09,360 Speaker 1: new House. Government funding is going to expire, and you 718 00:41:09,400 --> 00:41:13,600 Speaker 1: have to attach to it, to this appropriations bill. What 719 00:41:13,880 --> 00:41:18,279 Speaker 1: in Congress talk we call an appropriations writer, and that 720 00:41:18,400 --> 00:41:23,120 Speaker 1: extra policy. That writer would say, in some effect, none 721 00:41:23,120 --> 00:41:25,480 Speaker 1: of the funds in this act or any other act 722 00:41:25,960 --> 00:41:28,880 Speaker 1: shall be used to release any unlawful alien into the 723 00:41:28,960 --> 00:41:32,680 Speaker 1: United States. So you would be creating a federal prohibition 724 00:41:33,000 --> 00:41:36,959 Speaker 1: against a single federal dollar being spent to release any 725 00:41:37,000 --> 00:41:39,640 Speaker 1: illegal immigrants. So that would be a criminal act if 726 00:41:39,640 --> 00:41:42,440 Speaker 1: anyone in the administration releases anybody. That's a crime. So 727 00:41:42,480 --> 00:41:45,880 Speaker 1: you're required to use the tools in our laws vie. 728 00:41:45,960 --> 00:41:49,839 Speaker 1: They remain in Mexico are safe third agreements, and our 729 00:41:49,880 --> 00:41:53,000 Speaker 1: exit removal procedure is to deport anyone or Title forty 730 00:41:53,000 --> 00:41:56,760 Speaker 1: two to deport anybody that you encounter in every single instance. 731 00:41:57,280 --> 00:42:01,200 Speaker 1: Any member of Congress who's talking right now about giving 732 00:42:01,239 --> 00:42:06,640 Speaker 1: by the more resources, more immigration judges, more anything, is 733 00:42:06,880 --> 00:42:12,440 Speaker 1: complicit in the problem, because if you hand a torch 734 00:42:13,120 --> 00:42:16,439 Speaker 1: to an arsonist, they're just going to burn things down. 735 00:42:16,800 --> 00:42:20,239 Speaker 1: Biden will use every extra border agent, every extra helicopter, 736 00:42:20,360 --> 00:42:23,759 Speaker 1: every extra jeep, every extra bed, every extra everything to 737 00:42:23,840 --> 00:42:27,000 Speaker 1: get more legal immigrants further and deeper and more quickly 738 00:42:27,040 --> 00:42:32,239 Speaker 1: into the United States. Biden inherited a system of flawless deportation. 739 00:42:32,719 --> 00:42:35,240 Speaker 1: I know because it was what I was doing every 740 00:42:35,239 --> 00:42:37,640 Speaker 1: single day. I'd be on the phone in the morning 741 00:42:37,840 --> 00:42:39,759 Speaker 1: with the State Department. Let's say we got a group 742 00:42:39,760 --> 00:42:44,880 Speaker 1: of fifty unaccompanied alien minors from six different countries. That morning, 743 00:42:45,040 --> 00:42:46,920 Speaker 1: we'd be on the phone with your embassy is saying 744 00:42:47,080 --> 00:42:50,160 Speaker 1: we've got kids. Get your shelters open, find their families, 745 00:42:50,200 --> 00:42:52,880 Speaker 1: find their relatives. We'll get in the plane. We're chartering 746 00:42:52,880 --> 00:42:55,640 Speaker 1: a flight. They're gonna be here tomorrow. And you do 747 00:42:55,680 --> 00:42:58,200 Speaker 1: that three or four days in a row, and they 748 00:42:58,280 --> 00:43:00,920 Speaker 1: stop coming. Now. At the time it would take for 749 00:43:01,000 --> 00:43:03,160 Speaker 1: me to talk through all the regulations and all the 750 00:43:03,200 --> 00:43:05,239 Speaker 1: policies and all the memoranda and all the court fights 751 00:43:05,280 --> 00:43:07,279 Speaker 1: had to get to that point. What matters is we 752 00:43:07,440 --> 00:43:10,920 Speaker 1: got to that point so that by twenty twenty, no 753 00:43:11,000 --> 00:43:13,560 Speaker 1: one in this country could stop us from deporting people 754 00:43:13,600 --> 00:43:16,279 Speaker 1: who came here illegally. And we were doing it, and 755 00:43:16,320 --> 00:43:18,839 Speaker 1: the Biden came in and he tore it all down 756 00:43:19,080 --> 00:43:22,080 Speaker 1: on purpose. Everything that's happened for two years is deliberate, 757 00:43:22,200 --> 00:43:25,320 Speaker 1: and any member of Congress who doesn't understand that is 758 00:43:25,360 --> 00:43:27,640 Speaker 1: part of the problem. What Biden it needs are not 759 00:43:27,719 --> 00:43:32,320 Speaker 1: tools but handcuffs, handcuffs that stop him and his administration 760 00:43:32,560 --> 00:43:36,000 Speaker 1: from releasing anyone else into this country. Stephen, you and 761 00:43:36,040 --> 00:43:38,920 Speaker 1: I were on Sean Hannity Show, I believe together if 762 00:43:38,960 --> 00:43:42,800 Speaker 1: I remember correctly, right after one of the Twitter file revelations, 763 00:43:42,920 --> 00:43:45,040 Speaker 1: and you said something that I then brought on this 764 00:43:45,080 --> 00:43:47,160 Speaker 1: show and echoed. I want to give you an opportunity 765 00:43:47,200 --> 00:43:49,799 Speaker 1: to make the case for this audience as well that 766 00:43:49,960 --> 00:43:55,160 Speaker 1: we must have primetime hearings associated with the Twitter file revelations. 767 00:43:55,440 --> 00:43:57,840 Speaker 1: Why is that important? What should it look like, and 768 00:43:57,920 --> 00:43:59,880 Speaker 1: what do you think the impact would be if the 769 00:44:00,000 --> 00:44:03,480 Speaker 1: House Republicans make it happen. Yes, this is critically important. 770 00:44:03,840 --> 00:44:06,440 Speaker 1: Thank you for bringing this up. So the people who 771 00:44:06,480 --> 00:44:10,680 Speaker 1: watch Congressional hearings during the day are people like us 772 00:44:10,719 --> 00:44:14,359 Speaker 1: and your viewers and listeners. There's a massive portion of 773 00:44:14,360 --> 00:44:17,360 Speaker 1: this country who are not sitting around at eleven o'clock 774 00:44:17,560 --> 00:44:20,200 Speaker 1: flipping through the cable channels watching the day's hearings or 775 00:44:20,320 --> 00:44:23,400 Speaker 1: c SPAN or Republican hearings are relegated to And we 776 00:44:23,520 --> 00:44:26,120 Speaker 1: know from the coverage of the Twitter files that there 777 00:44:26,120 --> 00:44:28,640 Speaker 1: will be no coverage of any of these hearings. Whatever 778 00:44:28,680 --> 00:44:34,440 Speaker 1: people see or here will be filtered through their media intermediaries. 779 00:44:34,760 --> 00:44:38,240 Speaker 1: So the only way to get information of this existential 780 00:44:38,280 --> 00:44:42,640 Speaker 1: importance about the survival of free society is to copy 781 00:44:42,760 --> 00:44:45,960 Speaker 1: from what they did with their January sixth Select Committee. 782 00:44:46,400 --> 00:44:49,120 Speaker 1: You care about democracy, well, nothing is more important than 783 00:44:49,120 --> 00:44:52,480 Speaker 1: the survival of the First Amendment, and you hold primetime 784 00:44:52,520 --> 00:44:56,120 Speaker 1: hearings that nobody can ignore, that nobody can avoid. If 785 00:44:56,160 --> 00:44:59,600 Speaker 1: I'm making a select committee, you ensure that you put 786 00:44:59,640 --> 00:45:01,920 Speaker 1: your best members on it who can get to the point. 787 00:45:02,040 --> 00:45:04,480 Speaker 1: Because the problem with some of these hearings, however well 788 00:45:04,520 --> 00:45:07,600 Speaker 1: intentional they are, we have seventy members of Congress showing up. 789 00:45:08,200 --> 00:45:10,239 Speaker 1: You'll lose the plot pretty quickly. After the first three 790 00:45:10,320 --> 00:45:13,040 Speaker 1: questioners and the next four hours is kind of inscrutable 791 00:45:13,239 --> 00:45:16,880 Speaker 1: in many cases. So the Democrats have established the president, 792 00:45:17,160 --> 00:45:20,440 Speaker 1: it's now up to Republicans to follow it. Speaking to 793 00:45:20,440 --> 00:45:23,160 Speaker 1: Stephen Miller, was a senior advisor to former President Trump 794 00:45:23,200 --> 00:45:27,759 Speaker 1: in the White House, Stephen, I wanted to know what 795 00:45:27,800 --> 00:45:31,000 Speaker 1: you think about what we're seeing right now with president 796 00:45:31,520 --> 00:45:35,920 Speaker 1: former President Trump's announcement, and just have you talked to him, 797 00:45:35,960 --> 00:45:38,160 Speaker 1: how's his mindset? You know, there's a lot of people 798 00:45:38,160 --> 00:45:40,960 Speaker 1: throwing polls around right now at a lot of early 799 00:45:41,080 --> 00:45:43,920 Speaker 1: talk about how this is looking. What do you see 800 00:45:44,000 --> 00:45:48,480 Speaker 1: with the Trump twenty twenty four situation as it stands 801 00:45:48,560 --> 00:45:53,080 Speaker 1: right now? Oh? I mean, I've lived through this cycle 802 00:45:53,640 --> 00:45:57,600 Speaker 1: of the media trying to cast a negative shout shadows 803 00:45:57,600 --> 00:46:00,440 Speaker 1: so many times they can't even recall. The truth is 804 00:46:00,520 --> 00:46:02,759 Speaker 1: that no matter who you talk to, it's clear to 805 00:46:02,840 --> 00:46:08,640 Speaker 1: everybody that President Trump is inherently the mega favorite going 806 00:46:08,680 --> 00:46:14,160 Speaker 1: into any Republican primary, and that the issues that he 807 00:46:14,239 --> 00:46:18,680 Speaker 1: ran on in twenty sixteen twenty twenty have now been 808 00:46:18,680 --> 00:46:22,239 Speaker 1: proven so right and to such an extent that the 809 00:46:22,400 --> 00:46:25,959 Speaker 1: argument for his reelection is greater now and stronger now 810 00:46:26,280 --> 00:46:29,040 Speaker 1: than even was in his first election or the twenty 811 00:46:29,080 --> 00:46:31,640 Speaker 1: twenty campaign. And I return even to the course the 812 00:46:31,680 --> 00:46:35,920 Speaker 1: issue that we started with today, which is border and immigration. 813 00:46:36,400 --> 00:46:39,400 Speaker 1: People don't realize how many wars you have to go 814 00:46:39,480 --> 00:46:42,480 Speaker 1: to to secure the border. In other words, you don't 815 00:46:42,480 --> 00:46:47,280 Speaker 1: just have to fight every single deep state lunatic inside 816 00:46:47,280 --> 00:46:49,839 Speaker 1: your own government and all the corporate press and all 817 00:46:49,880 --> 00:46:52,640 Speaker 1: the softies in Congress, but you have to fight every 818 00:46:52,680 --> 00:46:55,520 Speaker 1: single foreign country that does not want to participate, does 819 00:46:55,520 --> 00:46:56,880 Speaker 1: not want to play at ball. The one thing I 820 00:46:57,080 --> 00:46:59,080 Speaker 1: think people oftenmes don't even realize when it comes to 821 00:46:59,080 --> 00:47:02,000 Speaker 1: the immigration is that every country has a veto power 822 00:47:02,040 --> 00:47:05,400 Speaker 1: over you. If they shut down their airport. If Guatemala 823 00:47:05,440 --> 00:47:08,320 Speaker 1: says we're not taking any legal alien families. We know. 824 00:47:08,719 --> 00:47:10,640 Speaker 1: We're poor, we're broke, we can't handle it, we can't 825 00:47:10,680 --> 00:47:13,680 Speaker 1: pay for them. Airport closed. Well, where you send them, 826 00:47:13,719 --> 00:47:16,520 Speaker 1: where you flat them? Where did they go? We had 827 00:47:16,560 --> 00:47:21,759 Speaker 1: to literally work and maneuver every country, not just in 828 00:47:21,880 --> 00:47:25,520 Speaker 1: our hemisphere, but we were working countries in Africa, in Asia, 829 00:47:25,600 --> 00:47:28,840 Speaker 1: in the Middle East to get these planes back home 830 00:47:29,280 --> 00:47:32,879 Speaker 1: while fighting a lateral battle against the night Start, get 831 00:47:33,120 --> 00:47:35,960 Speaker 1: against Congress, and against the deep state, and every one 832 00:47:36,000 --> 00:47:38,560 Speaker 1: of our agencies, who, if they had their way, would 833 00:47:38,600 --> 00:47:42,200 Speaker 1: grant asylum to every single human being setting foot across 834 00:47:42,239 --> 00:47:45,080 Speaker 1: that border. You want to put this genie back in 835 00:47:45,120 --> 00:47:48,440 Speaker 1: the bottle. You're gonna need a Donald Trump back in 836 00:47:48,520 --> 00:47:51,879 Speaker 1: the White House or it's not happening. Stephen. We had 837 00:47:52,280 --> 00:47:56,040 Speaker 1: Ann Culter specifically on and we got people fired up. 838 00:47:56,040 --> 00:47:58,760 Speaker 1: As you can well imagine, that's her job. She said Trump, 839 00:47:58,840 --> 00:48:01,160 Speaker 1: we have to move on from Trump, and she effectively 840 00:48:01,160 --> 00:48:04,600 Speaker 1: started making the argument for De Santis. When you hear 841 00:48:04,640 --> 00:48:07,480 Speaker 1: people say that, as somebody who was a Trump guy, 842 00:48:07,880 --> 00:48:10,640 Speaker 1: what do you think about the argument of Trump's got 843 00:48:10,680 --> 00:48:13,480 Speaker 1: one term left, given his age, it's time for him 844 00:48:13,560 --> 00:48:16,480 Speaker 1: to move on and somebody like Ron De Santis, another 845 00:48:16,600 --> 00:48:20,840 Speaker 1: generation should come along. That's the argument she made last week. 846 00:48:20,920 --> 00:48:23,600 Speaker 1: How would you characterize that argument? What would you say 847 00:48:23,640 --> 00:48:26,080 Speaker 1: in response to it? Well, I think the generational argument 848 00:48:26,120 --> 00:48:29,520 Speaker 1: cuts in the other direction, which is that President Trump 849 00:48:29,840 --> 00:48:32,520 Speaker 1: would be uniquely able to come into office and hit 850 00:48:32,560 --> 00:48:35,480 Speaker 1: the ground running because we picked up exactly where we 851 00:48:35,600 --> 00:48:39,160 Speaker 1: left off, and we immediately number one, reimplement the policies 852 00:48:39,200 --> 00:48:41,239 Speaker 1: we had put into place. The number two we had 853 00:48:41,440 --> 00:48:45,240 Speaker 1: we have an entire shelf a stableful of executive orders 854 00:48:45,239 --> 00:48:47,839 Speaker 1: and policies that take it to the next level, whether 855 00:48:47,840 --> 00:48:51,520 Speaker 1: it be getting rid of birthright citizenship, or completing the 856 00:48:51,600 --> 00:48:54,480 Speaker 1: job of decoupling from China, and so many other issues, 857 00:48:54,480 --> 00:48:57,120 Speaker 1: completing NETA reform, so many other issues that you would 858 00:48:57,120 --> 00:48:58,880 Speaker 1: be able to complete immediately. And the message that we 859 00:48:58,920 --> 00:49:01,799 Speaker 1: sent to the world on day one is that we 860 00:49:01,840 --> 00:49:06,080 Speaker 1: are going to snap back instantly to these America first policies. 861 00:49:06,120 --> 00:49:08,520 Speaker 1: Every world leader around the world knows where we'll stand. 862 00:49:08,680 --> 00:49:11,319 Speaker 1: It'll be able to move at lightning speed. And to 863 00:49:11,360 --> 00:49:13,520 Speaker 1: your point, because it would be the second of only 864 00:49:13,560 --> 00:49:16,919 Speaker 1: two available terms, you'd have to spend the second half 865 00:49:16,920 --> 00:49:20,759 Speaker 1: of your first term worrying about re election, worrying about campaigning, 866 00:49:20,960 --> 00:49:22,800 Speaker 1: so you would be able to have a remarkable degree 867 00:49:22,840 --> 00:49:25,520 Speaker 1: of efficiency. And then of course, at the end of 868 00:49:25,520 --> 00:49:27,640 Speaker 1: that term, then that's when you, of course would be 869 00:49:27,680 --> 00:49:29,720 Speaker 1: able to hand off to a new generation of leaders. 870 00:49:30,160 --> 00:49:33,520 Speaker 1: And so yeah, I think the generational argument works almost 871 00:49:33,520 --> 00:49:37,040 Speaker 1: exactly in the opposite direction. Good stuff as always, Stephen 872 00:49:37,080 --> 00:49:40,880 Speaker 1: Miller at Steven m on Twitter. Fantastic idea on the 873 00:49:40,920 --> 00:49:44,000 Speaker 1: Primetime hearings. We'll have you on again soon. Hope everything's 874 00:49:44,040 --> 00:49:45,960 Speaker 1: going well. Do you finish season five a cobra. Kay 875 00:49:46,200 --> 00:49:49,040 Speaker 1: you good. You caught up now and everyone who hasn't 876 00:49:49,040 --> 00:49:52,480 Speaker 1: already get onto Netflix and watch it. You will not 877 00:49:52,600 --> 00:49:55,279 Speaker 1: regret it. Thatst season yet. It is a lot of fun. 878 00:49:55,440 --> 00:49:57,759 Speaker 1: Thank you, Thank you, Stephen Joinings. Claire, it's going to say, 879 00:49:57,800 --> 00:50:00,200 Speaker 1: you know, on your recommendation now almost at sea in 880 00:50:00,200 --> 00:50:03,880 Speaker 1: five of Yellowstone, but they should really call it Seal 881 00:50:03,920 --> 00:50:07,680 Speaker 1: Team six Yellowstone, like things really get get pretty wild. 882 00:50:08,040 --> 00:50:10,839 Speaker 1: And the Yellowstone Ranch, I'm like, aren't people usually just 883 00:50:10,880 --> 00:50:14,320 Speaker 1: walking around feeding the feeding the steers, hay and stuff. 884 00:50:14,320 --> 00:50:16,680 Speaker 1: There's a lot of M four action. I don't know 885 00:50:16,880 --> 00:50:21,600 Speaker 1: how many people have been murdered in Montana since Yellowstone started, 886 00:50:21,880 --> 00:50:24,399 Speaker 1: but I bet there's almost more people murdered in on 887 00:50:24,440 --> 00:50:27,680 Speaker 1: the Yellowstone TV show than in the actual state of Montana. Oh, 888 00:50:27,719 --> 00:50:29,880 Speaker 1: there definitely is. Yeah, that'd be a good I think. 889 00:50:29,960 --> 00:50:32,080 Speaker 1: I think there's probably more people shot in one episode 890 00:50:32,080 --> 00:50:34,960 Speaker 1: of Yellowstone than have been shot in Montana over the 891 00:50:35,000 --> 00:50:37,560 Speaker 1: course of several years. But you know a lot of 892 00:50:38,520 --> 00:50:40,239 Speaker 1: you know, it's kind of like a big advertiser for 893 00:50:40,239 --> 00:50:42,640 Speaker 1: the second amendments. So there's that. That and the state 894 00:50:42,640 --> 00:50:45,200 Speaker 1: of Montana, which I've still never visited, but one billion 895 00:50:45,320 --> 00:50:47,799 Speaker 1: percent want to go just by watching Yellowstone. I'm sure 896 00:50:47,800 --> 00:50:49,319 Speaker 1: there's lots of you out there fill the same way. 897 00:50:49,960 --> 00:50:53,399 Speaker 1: Look coming up on Christmas next week. There's a lot 898 00:50:53,440 --> 00:50:55,920 Speaker 1: of dads out there I know, and moms, but especially 899 00:50:56,000 --> 00:50:59,040 Speaker 1: dads who just flat out having gotten Christmas presents done. 900 00:50:59,200 --> 00:51:03,000 Speaker 1: I know, I know, I've been there. Maybe you got grandkids, 901 00:51:03,280 --> 00:51:05,839 Speaker 1: maybe you got kids of your own. Maybe you can 902 00:51:05,920 --> 00:51:09,800 Speaker 1: just surprise the nieces and nephews. 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