1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay, Travis and Buck 2 00:00:03,360 --> 00:00:07,040 Speaker 1: Sexton Show podcast. Our two of Clay and Buck starts 3 00:00:07,200 --> 00:00:10,039 Speaker 1: right now. Everybody. We are joined by our friend, doctor 4 00:00:10,119 --> 00:00:14,520 Speaker 1: Marty McCarry of Johns Hopkins University Medical Center. He's got 5 00:00:14,520 --> 00:00:17,400 Speaker 1: a great piece in the Wall Street Journal, the exaggeration 6 00:00:17,840 --> 00:00:21,320 Speaker 1: of long COVID, Doctor McCarry. Great to have you back, sir. 7 00:00:22,000 --> 00:00:25,560 Speaker 1: Good to be with you, guys. So let's start with this. 8 00:00:26,440 --> 00:00:28,800 Speaker 1: You tell us about you put in context here in 9 00:00:28,840 --> 00:00:32,600 Speaker 1: your piece in the Wall Street Journal, what is and 10 00:00:32,800 --> 00:00:36,600 Speaker 1: is not true about long COVID and how worried or 11 00:00:36,680 --> 00:00:39,480 Speaker 1: not worried people should be. But it's also the first 12 00:00:39,479 --> 00:00:43,600 Speaker 1: time I've seen anybody start to attach a price tag 13 00:00:43,720 --> 00:00:46,479 Speaker 1: to this, A billion dollars to what you call the 14 00:00:46,560 --> 00:00:52,600 Speaker 1: long COVID medical industrial complex. Doc, what is going on here? Well, look, 15 00:00:52,800 --> 00:00:55,760 Speaker 1: long COVID is real, but in the UK study it 16 00:00:55,920 --> 00:01:01,440 Speaker 1: was only three percent of people that had COVID declined rapidly. 17 00:01:01,640 --> 00:01:04,080 Speaker 1: In another study that just came out, we're getting more 18 00:01:04,120 --> 00:01:06,679 Speaker 1: research on it, and some of these studies show that 19 00:01:06,720 --> 00:01:11,160 Speaker 1: there's really no difference between having long haul symptoms after 20 00:01:11,240 --> 00:01:15,320 Speaker 1: COVID versus any other infection like the flu. If you're 21 00:01:15,319 --> 00:01:17,480 Speaker 1: not working out or eating well and you're sick for 22 00:01:17,480 --> 00:01:20,240 Speaker 1: a week, you're probably going to be weak at four weeks. 23 00:01:20,319 --> 00:01:25,639 Speaker 1: That's not long COVID. That's just the medicalization of ordinary life. 24 00:01:26,280 --> 00:01:28,680 Speaker 1: And doctor Falci and the crew at the NIH are 25 00:01:28,720 --> 00:01:32,440 Speaker 1: obsessed with long COVID. They spent one point two billion 26 00:01:32,520 --> 00:01:36,279 Speaker 1: dollars to try to study it and that has yielded zero. 27 00:01:36,400 --> 00:01:39,480 Speaker 1: There's been no return on that investment. And the CDC 28 00:01:39,720 --> 00:01:42,280 Speaker 1: tries to say it's not three percent like we know 29 00:01:42,360 --> 00:01:46,440 Speaker 1: from the UK study, it's twenty percent of people. As 30 00:01:46,440 --> 00:01:49,080 Speaker 1: if one in five Americans are going to be struck 31 00:01:49,120 --> 00:01:52,880 Speaker 1: by this long COVID lightning and then be disabled for life. 32 00:01:53,240 --> 00:01:56,680 Speaker 1: That's just not true. It's dishonest, and it exaggerates the truth. 33 00:01:57,560 --> 00:01:59,480 Speaker 1: Or McCarry appreciate you coming on. Loved the Peace and 34 00:01:59,480 --> 00:02:01,720 Speaker 1: the Wall Street Journal today. I'm not sure if you've 35 00:02:01,720 --> 00:02:06,360 Speaker 1: seen yet, but Florida Governor Ron DeSantis says that essentially 36 00:02:06,400 --> 00:02:10,480 Speaker 1: Florida is going to be impaneling a grand jury to 37 00:02:10,639 --> 00:02:16,679 Speaker 1: investigate potential fraud in the COVID shot. And so I'm curious, 38 00:02:16,760 --> 00:02:21,960 Speaker 1: from your perspective, can you remember a situation like this, 39 00:02:22,240 --> 00:02:24,880 Speaker 1: where a drug has been We were all told the 40 00:02:25,280 --> 00:02:28,880 Speaker 1: COVID shot, the COVID vaccine initially would prevent you from 41 00:02:28,919 --> 00:02:32,480 Speaker 1: getting and stop the spread of COVID, and basically the 42 00:02:32,520 --> 00:02:35,880 Speaker 1: government mandated it, and then it came out that that 43 00:02:36,040 --> 00:02:39,000 Speaker 1: was not actually true. Can you think of any other 44 00:02:39,040 --> 00:02:43,240 Speaker 1: examples of drugs like that that the government got involved 45 00:02:43,240 --> 00:02:46,600 Speaker 1: in in any kind of similar way. No, gosh, if 46 00:02:46,639 --> 00:02:49,840 Speaker 1: you misbehave in any way as a pharma company with 47 00:02:50,200 --> 00:02:53,840 Speaker 1: filling out the forms or reporting your follow up data, 48 00:02:54,320 --> 00:02:58,560 Speaker 1: you get major penalties and treated differently by the FDA. 49 00:02:58,680 --> 00:03:03,200 Speaker 1: I mean, these guys are regulators. With every pharma product 50 00:03:03,680 --> 00:03:08,000 Speaker 1: except the COVID vaccines. You basically have the FDA commissioner, 51 00:03:08,320 --> 00:03:15,000 Speaker 1: our nation's top medication regulator, advertising the COVID vaccine. It's 52 00:03:15,040 --> 00:03:19,000 Speaker 1: in his signature, in his email. He puts tweets out 53 00:03:19,080 --> 00:03:22,160 Speaker 1: saying that it may even prevent long COVID, not just 54 00:03:22,280 --> 00:03:26,160 Speaker 1: transmission with no supporting data. So when you have the 55 00:03:26,240 --> 00:03:30,280 Speaker 1: top regulator promoting it that much same things that a 56 00:03:30,360 --> 00:03:33,360 Speaker 1: pharma company said they would be fined for making a 57 00:03:33,440 --> 00:03:36,839 Speaker 1: claim outside of their pooped indication, you've got a very 58 00:03:36,840 --> 00:03:40,560 Speaker 1: cozy relationship that just does not add up. Okay, So 59 00:03:40,720 --> 00:03:43,880 Speaker 1: this is so fascinating to me because not only did 60 00:03:44,000 --> 00:03:47,160 Speaker 1: as you just point out, that cozy relationship exists, but 61 00:03:47,280 --> 00:03:52,080 Speaker 1: they also allowed these drug companies to profit tens of 62 00:03:52,320 --> 00:03:56,880 Speaker 1: billions of dollars in profits off of COVID shot vaccine 63 00:03:56,960 --> 00:04:01,400 Speaker 1: mandates which were not justified based on what the actual 64 00:04:01,480 --> 00:04:06,360 Speaker 1: result was. Can you remember the government for for profit 65 00:04:06,480 --> 00:04:10,960 Speaker 1: companies guaranteeing them tens of billions of dollars in profits 66 00:04:11,000 --> 00:04:14,720 Speaker 1: like we've seen for Maderna and Vizor over these COVID shots. 67 00:04:16,080 --> 00:04:18,080 Speaker 1: You know, my friends tell me there was a similar 68 00:04:18,120 --> 00:04:22,600 Speaker 1: example during World War One with one of the military 69 00:04:22,680 --> 00:04:25,240 Speaker 1: companies and the government. But beyond that, I don't know 70 00:04:25,279 --> 00:04:29,520 Speaker 1: of anything. I mean, this is outrageous. What's happened global 71 00:04:29,600 --> 00:04:34,839 Speaker 1: immunity given for just this one vaccine? How does for 72 00:04:34,880 --> 00:04:37,720 Speaker 1: the farm industry have total immunity for the COVID vaccines 73 00:04:37,720 --> 00:04:40,479 Speaker 1: but not for the flu shot or RSP shot or 74 00:04:40,480 --> 00:04:45,680 Speaker 1: other shots. And they've never reported, Parma has never reported back. 75 00:04:46,680 --> 00:04:51,800 Speaker 1: They're posts approval data. They're supposed to do safety monitoring 76 00:04:52,360 --> 00:04:55,839 Speaker 1: after a drug is approved. It's in the agreement. It's 77 00:04:55,839 --> 00:04:59,719 Speaker 1: a formal arrangement. They're non compliant, they haven't reported it. 78 00:05:00,040 --> 00:05:02,680 Speaker 1: And let's be honest, we all know that no one 79 00:05:02,720 --> 00:05:06,800 Speaker 1: wants to look at vaccine complications in this of public 80 00:05:06,839 --> 00:05:09,960 Speaker 1: health officials or this administration because they don't want to 81 00:05:10,000 --> 00:05:13,880 Speaker 1: know the result. Speaking to doctor Marty McCarry of Johns 82 00:05:13,880 --> 00:05:18,640 Speaker 1: Hopkins University Medical Center and doctor McCarry, you know, I 83 00:05:18,720 --> 00:05:20,360 Speaker 1: was just in a I was just in a government 84 00:05:20,400 --> 00:05:24,360 Speaker 1: office this morning. There are a lot of people double masking, 85 00:05:24,839 --> 00:05:28,279 Speaker 1: and it seems to me like we're now entering this realm. 86 00:05:28,279 --> 00:05:30,560 Speaker 1: And you know, I was on a plane recently and 87 00:05:30,600 --> 00:05:34,120 Speaker 1: they said to everybody respect someone's decision to mask. That 88 00:05:34,200 --> 00:05:37,960 Speaker 1: was they made some announcement over the PA. And still 89 00:05:37,960 --> 00:05:40,440 Speaker 1: in a lot of doctor's offices they require you to 90 00:05:40,480 --> 00:05:43,440 Speaker 1: put a mask on when you go in. What is 91 00:05:43,480 --> 00:05:46,080 Speaker 1: it going to take for people to just to give 92 00:05:46,120 --> 00:05:48,640 Speaker 1: this up? I mean to finally realize, like, how can 93 00:05:48,680 --> 00:05:51,359 Speaker 1: we get because I honestly think that doctors are at 94 00:05:51,400 --> 00:05:54,279 Speaker 1: the heart of this and there should be enough room 95 00:05:54,320 --> 00:05:57,000 Speaker 1: now for them to speak. Honestly, they're not in the 96 00:05:57,000 --> 00:06:00,480 Speaker 1: same fear of losing their medical licenses. I'm amazed at 97 00:06:00,520 --> 00:06:03,160 Speaker 1: how few doctors will come out and said publicly, this 98 00:06:03,240 --> 00:06:07,520 Speaker 1: is idiotic. Everyone needs to stop with the charade. Well, 99 00:06:07,560 --> 00:06:10,520 Speaker 1: I'm surprised by it as well, because I have been 100 00:06:10,560 --> 00:06:15,440 Speaker 1: to about six major medical conferences of doctors this year. 101 00:06:15,839 --> 00:06:19,080 Speaker 1: No one's wearing a mask. Maybe a couple of people, 102 00:06:19,240 --> 00:06:21,200 Speaker 1: and God bless them if they want to do that. 103 00:06:21,240 --> 00:06:23,440 Speaker 1: Maybe they've got a medical condition I don't know about. 104 00:06:23,800 --> 00:06:28,480 Speaker 1: But the doctors are in social activities, shoulder to shoulder, 105 00:06:28,960 --> 00:06:33,400 Speaker 1: seeing their buddies, hugging, shaking hands. They're not wearing masks. 106 00:06:33,760 --> 00:06:37,279 Speaker 1: So what is happening in a society where the doctors 107 00:06:37,279 --> 00:06:40,880 Speaker 1: are not wearing masks but they're quiet when the politicians 108 00:06:40,920 --> 00:06:44,640 Speaker 1: tell everyone you have to wear a mask. It's a 109 00:06:44,680 --> 00:06:49,600 Speaker 1: fantastic question. So as we look ahead the other thing 110 00:06:49,720 --> 00:06:53,960 Speaker 1: that seems a bit I think clarifying, And you may 111 00:06:54,000 --> 00:06:56,280 Speaker 1: have more recent data than we do. And thanks for 112 00:06:56,360 --> 00:07:00,880 Speaker 1: coming on. We're talking doctor Marty McCarry. Parents are still saying, basically, 113 00:07:01,040 --> 00:07:04,640 Speaker 1: especially for young kids, we're not getting this COVID shot 114 00:07:04,800 --> 00:07:07,920 Speaker 1: for our kids. I think at least ninety percent, if 115 00:07:07,960 --> 00:07:11,800 Speaker 1: not higher, of parents are rejecting this shot. As someone 116 00:07:11,840 --> 00:07:14,360 Speaker 1: who has worked in medicine for a long time, I 117 00:07:14,400 --> 00:07:17,560 Speaker 1: bet you can't remember a scenario like that where that 118 00:07:17,600 --> 00:07:21,880 Speaker 1: many parents have been rejecting a quote unquote advice from experts. 119 00:07:22,400 --> 00:07:26,040 Speaker 1: What does that tell us about the underlying sort of 120 00:07:26,120 --> 00:07:31,040 Speaker 1: position of many people about these COVID shots in general, Well, 121 00:07:30,720 --> 00:07:34,640 Speaker 1: it tells us that public health officials have screwed up 122 00:07:34,880 --> 00:07:38,680 Speaker 1: by crying wolf too many times. You know, flu shots 123 00:07:38,680 --> 00:07:43,440 Speaker 1: are down this year from the normal flu season pre pandemic, 124 00:07:43,880 --> 00:07:46,400 Speaker 1: and we've got a really bad flu season. Now, why 125 00:07:46,440 --> 00:07:48,800 Speaker 1: are a few of people taking a flu shot because 126 00:07:48,840 --> 00:07:51,440 Speaker 1: they've cried wolf too many times? And when it comes 127 00:07:51,440 --> 00:07:55,960 Speaker 1: to children, they did it with no supporting data. With children, 128 00:07:57,000 --> 00:07:59,680 Speaker 1: no one can tell you in the United States how 129 00:07:59,680 --> 00:08:03,760 Speaker 1: many healthy children have ever died of COVID if any. So, 130 00:08:03,800 --> 00:08:07,000 Speaker 1: if the CDC director can't tell you, and public health 131 00:08:07,000 --> 00:08:10,440 Speaker 1: officials and FAUCI can't tell you, how on earth do 132 00:08:10,520 --> 00:08:15,280 Speaker 1: they have so much absolutism. They're recommending a vaccine which 133 00:08:15,440 --> 00:08:17,920 Speaker 1: for which we know at least some people have died. 134 00:08:18,480 --> 00:08:22,440 Speaker 1: When you don't know the risk benefit calculation, I don't 135 00:08:22,520 --> 00:08:26,600 Speaker 1: understand the lack of humility. It's turned people off. And 136 00:08:26,640 --> 00:08:29,840 Speaker 1: the reality is that some people may benefit from some interventions, 137 00:08:29,840 --> 00:08:31,880 Speaker 1: but they're not even going to get them because of 138 00:08:31,920 --> 00:08:35,800 Speaker 1: the Public Health Trust being in the toilet and doctor 139 00:08:35,880 --> 00:08:39,120 Speaker 1: McCarry just so, does it work clear what is considered 140 00:08:39,800 --> 00:08:43,440 Speaker 1: within the medical community at this point fully vaccinated? I 141 00:08:43,480 --> 00:08:46,440 Speaker 1: mean does that for COVID? Is that is are we 142 00:08:46,559 --> 00:08:51,280 Speaker 1: on shot five now or is it four? And if 143 00:08:51,320 --> 00:08:55,600 Speaker 1: it's not five, when does it become five? Well, look, 144 00:08:55,679 --> 00:08:57,360 Speaker 1: let's be honest. If it we're up to some people, 145 00:08:57,400 --> 00:08:59,520 Speaker 1: you'd be getting a booster every Monday morning when you 146 00:08:59,559 --> 00:09:04,120 Speaker 1: show up work. But what they're calling fully vaccinated is 147 00:09:04,160 --> 00:09:07,800 Speaker 1: getting the bivalent, the new bivalent vaccine, which is an 148 00:09:07,800 --> 00:09:13,320 Speaker 1: omicron specific vaccine, and having had the primary series, they'll 149 00:09:13,320 --> 00:09:18,560 Speaker 1: consider that fully vaccinated. Now the bivalent data, I'd love 150 00:09:18,640 --> 00:09:23,120 Speaker 1: to see it. There's no randomized control trial. Instead of 151 00:09:23,160 --> 00:09:27,720 Speaker 1: doctor Fauci's spending one point two billion dollars to study 152 00:09:27,800 --> 00:09:31,160 Speaker 1: long COVID, how about which has yielded nothing. How about 153 00:09:31,200 --> 00:09:36,280 Speaker 1: doing one randomized control trial on the bivalent vaccine before 154 00:09:36,360 --> 00:09:38,800 Speaker 1: blasting it out to the world. They had a problem. 155 00:09:38,840 --> 00:09:42,000 Speaker 1: They bought one hundred and seventy one million doses, but 156 00:09:42,120 --> 00:09:45,360 Speaker 1: only forty million have been used. After three months of 157 00:09:45,400 --> 00:09:48,200 Speaker 1: them hammering it into the American public, to get it, 158 00:09:48,600 --> 00:09:51,240 Speaker 1: so they have a stockpile problem. If they want to 159 00:09:51,240 --> 00:09:55,440 Speaker 1: fix that problem, produce some good clinical data, and then 160 00:09:55,679 --> 00:09:57,880 Speaker 1: people will trust them. Can I ask you, doctor, do 161 00:09:58,040 --> 00:10:00,559 Speaker 1: you think do you think they actually could Let's say 162 00:10:00,559 --> 00:10:02,760 Speaker 1: they were just gonna be totally honest about it and 163 00:10:02,840 --> 00:10:05,640 Speaker 1: they showed the clinical data. Do you think it would 164 00:10:05,679 --> 00:10:08,120 Speaker 1: be strong or would it be like, Man, it's not 165 00:10:08,200 --> 00:10:10,880 Speaker 1: really that good of a shot. I think it would 166 00:10:10,880 --> 00:10:16,160 Speaker 1: probably be like the flu shot this year probably reduces 167 00:10:18,000 --> 00:10:22,559 Speaker 1: symptomatic infection by about twenty percent with the major strain 168 00:10:22,640 --> 00:10:25,360 Speaker 1: and doesn't work against the other strength. That's probably what 169 00:10:25,400 --> 00:10:28,640 Speaker 1: it might show. I might recommend it for a person 170 00:10:28,720 --> 00:10:31,600 Speaker 1: who's high risk and has not had COVID this year. 171 00:10:32,120 --> 00:10:35,480 Speaker 1: So we're talking flu shot, right, Doc, We've gone full circle. 172 00:10:35,559 --> 00:10:37,800 Speaker 1: Now this is basically like the flu shot, but for 173 00:10:37,880 --> 00:10:41,720 Speaker 1: COVID it's it's similar. I think the data would be 174 00:10:41,760 --> 00:10:44,599 Speaker 1: similar to the flu shot, but the by Valet vaccine. 175 00:10:45,080 --> 00:10:47,320 Speaker 1: If we had good data, I might recommend it for 176 00:10:47,320 --> 00:10:50,160 Speaker 1: a high risk people person who's not had COVID, which 177 00:10:50,240 --> 00:10:52,960 Speaker 1: is I don't know if anyone exists who's not had COVID. 178 00:10:53,160 --> 00:10:57,920 Speaker 1: Correct anymore. When you see last question for you, doctor McCarry, 179 00:10:57,920 --> 00:11:00,200 Speaker 1: and I appreciate you coming on when you see that 180 00:11:00,320 --> 00:11:04,320 Speaker 1: there are some cities recommending that kids be put back 181 00:11:04,400 --> 00:11:09,640 Speaker 1: in maps. How infuriating is that to you, as someone 182 00:11:09,720 --> 00:11:14,440 Speaker 1: who actually looks at the science. Well, all you have 183 00:11:14,480 --> 00:11:16,280 Speaker 1: to do is look at the test scores and the 184 00:11:16,400 --> 00:11:19,960 Speaker 1: rates of depression and anxiety, or talk to a child 185 00:11:20,040 --> 00:11:22,640 Speaker 1: and ask them if they're happy or sad covering their 186 00:11:22,679 --> 00:11:25,839 Speaker 1: face for a year and a half. The sad part 187 00:11:26,640 --> 00:11:29,520 Speaker 1: about this whole thing is the New York Times or 188 00:11:29,559 --> 00:11:33,280 Speaker 1: any one of these other so called news organizations could 189 00:11:33,280 --> 00:11:37,559 Speaker 1: have sent one reporter to Europe and maybe covered any 190 00:11:37,600 --> 00:11:40,200 Speaker 1: one of the tens of thousands of schools that have 191 00:11:40,240 --> 00:11:43,200 Speaker 1: been open, free and clear without masks, or cover the 192 00:11:43,360 --> 00:11:48,240 Speaker 1: WHO or the European CDC recommendations which specifically say do 193 00:11:48,400 --> 00:11:51,720 Speaker 1: not cover the faces of children with masks during COVID 194 00:11:52,040 --> 00:11:56,440 Speaker 1: because of the downstream psychological harm. I wish anyone would 195 00:11:56,440 --> 00:11:59,080 Speaker 1: have covered that instead of making it sound like you're 196 00:11:59,120 --> 00:12:03,200 Speaker 1: promoting missing information by pointing out the harms masks have 197 00:12:03,640 --> 00:12:06,640 Speaker 1: in schools have had no impact on transmission. It's been 198 00:12:06,679 --> 00:12:10,160 Speaker 1: well studied in the Spanish and the Finnish study, US 199 00:12:10,240 --> 00:12:13,680 Speaker 1: public health officials are just choosing to ignore those studies. 200 00:12:14,880 --> 00:12:17,920 Speaker 1: Doctor Marty McCarry. I mean there's a couple of docs, 201 00:12:17,960 --> 00:12:19,600 Speaker 1: there's you, there's a few others that will tell the 202 00:12:19,600 --> 00:12:23,080 Speaker 1: truth on this stuff. The cowardice within the medical medical 203 00:12:23,080 --> 00:12:25,920 Speaker 1: community is honestly studying I mean, Clay, It's it's almost 204 00:12:25,920 --> 00:12:28,840 Speaker 1: like the athletic community where people will pretend that men 205 00:12:28,880 --> 00:12:31,080 Speaker 1: don't have an advantage in sports against women. You know, 206 00:12:31,160 --> 00:12:33,960 Speaker 1: it's just getting crazy. Democrats are the party of anti 207 00:12:34,000 --> 00:12:35,760 Speaker 1: science now. I don't think there's any other way to 208 00:12:35,760 --> 00:12:38,719 Speaker 1: convey it. Doc, thanks for being with us. Appreciate you, sir. 209 00:12:39,360 --> 00:12:42,360 Speaker 1: Good to be with you. Guys. Thanks. I want to 210 00:12:42,360 --> 00:12:44,480 Speaker 1: give yourself a gift this season that will benefit you 211 00:12:44,520 --> 00:12:46,640 Speaker 1: all year round. 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You said it well, I think 236 00:14:06,920 --> 00:14:11,720 Speaker 1: there are so few doctors that we're actually willing to 237 00:14:11,960 --> 00:14:14,960 Speaker 1: look at the data, to look at the science and 238 00:14:15,080 --> 00:14:19,400 Speaker 1: speak truth against all this fauci led mob and the 239 00:14:19,440 --> 00:14:22,920 Speaker 1: Wall Street Journal editorial page I think is the two 240 00:14:23,040 --> 00:14:26,040 Speaker 1: or three most important pages in all of media. I 241 00:14:26,080 --> 00:14:29,160 Speaker 1: think they do a phenomenal job. They have published a 242 00:14:29,200 --> 00:14:32,880 Speaker 1: lot of different articles that are counterintuitive that actually have 243 00:14:32,960 --> 00:14:37,960 Speaker 1: ended up being factually accurate. But I'm still so furious 244 00:14:38,160 --> 00:14:41,680 Speaker 1: over everything that was sold to us during COVID. But 245 00:14:41,760 --> 00:14:44,640 Speaker 1: I'm also so thankful for people like doctor McCarry out 246 00:14:44,680 --> 00:14:48,120 Speaker 1: there who were willing to take a lot of slings 247 00:14:48,120 --> 00:14:52,800 Speaker 1: and arrows from their co doctors and speak out on 248 00:14:52,840 --> 00:14:56,720 Speaker 1: what the medicine and what the data actually reflected. It's 249 00:14:56,720 --> 00:15:00,200 Speaker 1: amazing to me how long the cowardice is last saying 250 00:15:00,240 --> 00:15:03,280 Speaker 1: I mean, look, because I knew doctors and i'd have 251 00:15:03,320 --> 00:15:04,640 Speaker 1: we you know, they reach out to me, to reach 252 00:15:04,640 --> 00:15:07,360 Speaker 1: out to you. We have doctors listened to this show. Now. 253 00:15:07,400 --> 00:15:09,960 Speaker 1: A lot of them are in places where the COVID. 254 00:15:10,040 --> 00:15:13,400 Speaker 1: You know, a doctor in Franklin, Tennessee is going to 255 00:15:13,480 --> 00:15:15,920 Speaker 1: have a very different experience of the COVID lunacy in 256 00:15:15,920 --> 00:15:18,320 Speaker 1: a lot of ways than one on you know, the 257 00:15:18,400 --> 00:15:22,080 Speaker 1: upper West side of Manhattan. Right. But even even still, 258 00:15:22,120 --> 00:15:25,200 Speaker 1: just based on how many people are involved now in 259 00:15:25,400 --> 00:15:27,880 Speaker 1: commentary in the media that have an MD next to 260 00:15:27,880 --> 00:15:31,760 Speaker 1: their name, in some capacity that they just don't want 261 00:15:31,800 --> 00:15:33,800 Speaker 1: to say anything about this. I mean, they want to 262 00:15:33,840 --> 00:15:37,400 Speaker 1: act like this wasn't completely insane what they did. You 263 00:15:37,480 --> 00:15:41,560 Speaker 1: got Fauci still basically saying, you know, lockdowns were probably 264 00:15:41,760 --> 00:15:45,440 Speaker 1: not a terrible idea, which is just it's bonkers. And 265 00:15:45,720 --> 00:15:47,760 Speaker 1: and you know, Clay, they could tell me at one 266 00:15:47,800 --> 00:15:50,440 Speaker 1: point I was afraid I would lose my license and 267 00:15:50,480 --> 00:15:53,440 Speaker 1: I had a duty to my patients. Okay, people aren't 268 00:15:53,480 --> 00:15:55,800 Speaker 1: really losing their licenses right now. You can speak out 269 00:15:55,800 --> 00:15:58,440 Speaker 1: on Twitter. You know that the ice has broken on 270 00:15:58,480 --> 00:16:01,240 Speaker 1: a lot of this stuff. But I'm amazed. I mean 271 00:16:01,280 --> 00:16:04,800 Speaker 1: when when people you know, it's funny, as in the 272 00:16:04,840 --> 00:16:06,880 Speaker 1: gym yesterday, a friend of mine told me, he said, 273 00:16:06,880 --> 00:16:08,720 Speaker 1: oh man, he said, see those two overre there, they 274 00:16:08,760 --> 00:16:11,280 Speaker 1: got into a fight with somebody else because they wanted 275 00:16:11,320 --> 00:16:13,240 Speaker 1: them to mask up and they wouldn't mask up. I 276 00:16:13,280 --> 00:16:18,560 Speaker 1: was like, still, this is still happening, buck. You know, 277 00:16:18,560 --> 00:16:22,080 Speaker 1: when I spoke last year against masks in schools, one 278 00:16:22,120 --> 00:16:25,000 Speaker 1: of the people who also spoke was a doctor friend 279 00:16:25,040 --> 00:16:29,840 Speaker 1: of ours. She was reported in Williamson County, Tennessee, to 280 00:16:29,960 --> 00:16:34,680 Speaker 1: the medical board and they went after her license because 281 00:16:34,720 --> 00:16:37,320 Speaker 1: she spoke at a school board meeting that her kids 282 00:16:37,360 --> 00:16:40,560 Speaker 1: attend in the county and said it doesn't make sense 283 00:16:40,560 --> 00:16:43,200 Speaker 1: for kids to wear masks. Other doctors reported her this 284 00:16:43,360 --> 00:16:46,240 Speaker 1: last year she had to go through a review and 285 00:16:46,320 --> 00:16:49,200 Speaker 1: everything else. I mean, that's how draconian this was. And 286 00:16:49,400 --> 00:16:51,360 Speaker 1: I think we've got a cut here, which I haven't 287 00:16:51,360 --> 00:16:53,200 Speaker 1: even heard, but I've heard is ridiculous. In the UK, 288 00:16:53,400 --> 00:16:56,840 Speaker 1: they're selling they're selling shots to kids by saying Santa 289 00:16:56,880 --> 00:16:59,720 Speaker 1: Claus will take care of you. Play at everybody to one, two, 290 00:16:59,760 --> 00:17:03,000 Speaker 1: many amens pies. He slowly gets out of his chair, 291 00:17:03,400 --> 00:17:07,320 Speaker 1: then quickly hurries to the local vaccination center somewhere in 292 00:17:07,680 --> 00:17:10,560 Speaker 1: South London, where he finds a sack full of centers 293 00:17:10,600 --> 00:17:14,160 Speaker 1: from all around the world waiting for exactly the same thing. 294 00:17:14,400 --> 00:17:24,720 Speaker 1: How confuniant. Now that it's stuck, Santa can finally close 295 00:17:24,800 --> 00:17:27,520 Speaker 1: it off his lid and get on with the important 296 00:17:27,520 --> 00:17:32,359 Speaker 1: things this Christmas, like spreading joy and delivering all the presents. 297 00:17:33,760 --> 00:17:37,119 Speaker 1: Boost your immunity this winter with the flu and COVID 298 00:17:37,200 --> 00:17:41,879 Speaker 1: nineteen vaccines. Oh, the joint shot. Now you know that 299 00:17:41,960 --> 00:17:43,720 Speaker 1: some of us, like as in you and me, were 300 00:17:43,760 --> 00:17:46,280 Speaker 1: saying this was the plan all along, the all in 301 00:17:46,400 --> 00:17:49,960 Speaker 1: one yearly vaccine shot now everybody, because this is what 302 00:17:50,000 --> 00:17:53,240 Speaker 1: the apparatus needs to make money. This is what's scary. 303 00:17:53,359 --> 00:17:55,919 Speaker 1: They got Santa Claus out trying to sell COVID shots 304 00:17:55,960 --> 00:18:03,000 Speaker 1: now for profit. It's crazy. Well, my friends, want to 305 00:18:03,040 --> 00:18:10,760 Speaker 1: give yourself the best holiday season ever. You're a good up. 306 00:18:10,840 --> 00:18:12,920 Speaker 1: I think we lost Clay. Click gotta bring Clay back. 307 00:18:13,720 --> 00:18:16,520 Speaker 1: My Pillow will hook you up in a big way 308 00:18:16,600 --> 00:18:20,879 Speaker 1: and ensure that you can get the best possible gift anywhere. 309 00:18:21,119 --> 00:18:24,040 Speaker 1: And I'm telling you right now it is the my slippers. 310 00:18:24,119 --> 00:18:27,840 Speaker 1: They will get you hooked up. Variety of sizes, colors, styles. 311 00:18:27,920 --> 00:18:30,840 Speaker 1: They are on the ball with so many different products 312 00:18:30,840 --> 00:18:33,480 Speaker 1: out there. And right now you get a ten year warranty. 313 00:18:33,600 --> 00:18:37,240 Speaker 1: During this holiday season, they're extending sixty day money back guarantee. 314 00:18:37,359 --> 00:18:40,480 Speaker 1: Orders place between now and Christmas Day will have their 315 00:18:40,480 --> 00:18:44,320 Speaker 1: money back guarantee extended until March the first, twenty twenty three. 316 00:18:44,560 --> 00:18:46,399 Speaker 1: Just go to my pillow dot com, click on the 317 00:18:46,520 --> 00:18:49,360 Speaker 1: radio listeners square, enter the promo code Clay and Buck. 318 00:18:49,440 --> 00:18:52,679 Speaker 1: You can also call eight hundred seven nine two thirty 319 00:18:52,680 --> 00:18:59,360 Speaker 1: two sixty nine for these great limited time offers. Got 320 00:18:59,400 --> 00:19:02,520 Speaker 1: our friend Andy McCarthy with us now here on Clay 321 00:19:02,640 --> 00:19:06,760 Speaker 1: and Buck. He's of course of National Review and Fox News, 322 00:19:06,800 --> 00:19:10,360 Speaker 1: where he's a contributor. He's got get another piece. He's 323 00:19:10,359 --> 00:19:13,159 Speaker 1: got fabulous pieces out on a regular basis at National Review. 324 00:19:13,720 --> 00:19:17,119 Speaker 1: And he was a federal prosecutor for the Southern District 325 00:19:17,160 --> 00:19:19,800 Speaker 1: of New York for over twenty years. Andy, great to 326 00:19:19,840 --> 00:19:22,600 Speaker 1: have you back, sir, Mary Christmas guys, how are you 327 00:19:23,000 --> 00:19:26,120 Speaker 1: marry Christmas? Good? We're pretty good. And if you want 328 00:19:26,119 --> 00:19:28,399 Speaker 1: to ask Clay a baseball question at the end, just 329 00:19:28,400 --> 00:19:30,840 Speaker 1: to stretch his sports knowledge endings, I know you're a 330 00:19:30,920 --> 00:19:35,080 Speaker 1: super baseball and he loves baseball, slash coaches baseball or 331 00:19:35,320 --> 00:19:37,440 Speaker 1: takes his kids for you Yankees or a Mets guy. 332 00:19:37,440 --> 00:19:40,240 Speaker 1: You're a New Yorker, right, I'm not only a Mets guy. 333 00:19:40,280 --> 00:19:43,360 Speaker 1: I'm like, I can't tell you how enthusiastic I am 334 00:19:43,400 --> 00:19:46,800 Speaker 1: that we've spent ninety million dollars on two forty year 335 00:19:46,840 --> 00:19:49,200 Speaker 1: old pictures, Like, Hey, you know what's great about this 336 00:19:49,520 --> 00:19:52,080 Speaker 1: is you poor bastard. First of all, I'm a Braves fan, 337 00:19:52,119 --> 00:19:53,680 Speaker 1: and it doesn't matter what you guys spin, you're still 338 00:19:53,720 --> 00:19:56,120 Speaker 1: gonna lose with the Braves. But I can't imagine living 339 00:19:56,160 --> 00:20:00,240 Speaker 1: in New York and being a Mets guy. So in 340 00:20:00,280 --> 00:20:04,359 Speaker 1: the old days, New York was a National League city. Um, 341 00:20:04,400 --> 00:20:07,040 Speaker 1: you know that that changed. I think in the nineties 342 00:20:07,040 --> 00:20:08,959 Speaker 1: when the Yankees had there. This is what happens when 343 00:20:09,080 --> 00:20:11,879 Speaker 1: opened I opened the sports conversation, Andy, we want to 344 00:20:11,880 --> 00:20:17,600 Speaker 1: get to the breaking news here and into York. Yeah, 345 00:20:17,640 --> 00:20:21,160 Speaker 1: we got Andy line five. Go. Um, the curious timing 346 00:20:21,240 --> 00:20:25,119 Speaker 1: of Sam Bankman freeds arrest. I mean, we want to 347 00:20:25,119 --> 00:20:26,800 Speaker 1: know about the curious timing, which you wrote about a 348 00:20:26,840 --> 00:20:29,840 Speaker 1: National review, but but also just what's going on here? 349 00:20:29,880 --> 00:20:33,280 Speaker 1: I mean, is this guy you used to know Andy, 350 00:20:33,359 --> 00:20:36,800 Speaker 1: is someone going away? Is he going away? Well? It 351 00:20:36,880 --> 00:20:38,720 Speaker 1: sure looks like that to me. But you know, I 352 00:20:39,040 --> 00:20:41,320 Speaker 1: think here's an important part of this fuck that I 353 00:20:41,359 --> 00:20:45,640 Speaker 1: hope that what I'm worried about. I'm kind of agnostics 354 00:20:45,640 --> 00:20:48,920 Speaker 1: on cryptocurrency. There's really smart people who think it's a 355 00:20:48,960 --> 00:20:52,000 Speaker 1: Ponzi scheme, and there's other really smart people like George Gilder, 356 00:20:52,040 --> 00:20:55,480 Speaker 1: who you know, write books about how it's the future. Um, 357 00:20:55,520 --> 00:20:57,879 Speaker 1: so I don't know, but here's what I do know. 358 00:20:58,840 --> 00:21:01,880 Speaker 1: This was just stand the fraud. I mean, it happens 359 00:21:01,880 --> 00:21:05,960 Speaker 1: in the context of cryptocurrency, but this could have been 360 00:21:06,000 --> 00:21:11,240 Speaker 1: like you know, fead currency or bonds or stocks or 361 00:21:11,280 --> 00:21:14,240 Speaker 1: you know, fine art. This is just like a standard 362 00:21:15,680 --> 00:21:20,080 Speaker 1: fraud scheme where somebody gets money from investors, sets up 363 00:21:20,119 --> 00:21:23,680 Speaker 1: another vehicle, transfers to funds, and then converts it to 364 00:21:23,760 --> 00:21:27,560 Speaker 1: his own purposes. That's the allegation. And what I think, 365 00:21:28,160 --> 00:21:31,840 Speaker 1: what I'd be concerned about here is, you know, the 366 00:21:31,880 --> 00:21:35,920 Speaker 1: Biben administration, the sec Democrats that you know, they see 367 00:21:35,960 --> 00:21:38,320 Speaker 1: something that they don't think is regulated enough and they 368 00:21:38,320 --> 00:21:40,320 Speaker 1: want to regulate it. And if they think there's some 369 00:21:40,440 --> 00:21:44,040 Speaker 1: catastrophe that gives them the you know, the crisis, they 370 00:21:44,080 --> 00:21:46,720 Speaker 1: need to come in and do their you know, sort 371 00:21:46,760 --> 00:21:49,720 Speaker 1: of suffocating regulation. They'll do that. And I'd hate to 372 00:21:49,760 --> 00:21:53,280 Speaker 1: see them do that to crypto because I don't think 373 00:21:53,320 --> 00:21:56,720 Speaker 1: this is like a typical crypto scheme. You know, maybe 374 00:21:56,800 --> 00:22:00,399 Speaker 1: crypto needs to be you know, regulated on its own merits, 375 00:22:00,400 --> 00:22:02,200 Speaker 1: but I wouldn't do it in a hot panic because 376 00:22:02,280 --> 00:22:05,879 Speaker 1: these guys are like, you know, desperate to regulate stuff. Andy, 377 00:22:05,920 --> 00:22:07,879 Speaker 1: when you see these charges coming down and we know 378 00:22:08,040 --> 00:22:12,679 Speaker 1: that sam Bankan Freed is still in control of Bohemian authorities, 379 00:22:12,720 --> 00:22:15,800 Speaker 1: they haven't yet brought him to the United States. What 380 00:22:16,000 --> 00:22:19,560 Speaker 1: kind of jail time in your experience would charges like 381 00:22:19,720 --> 00:22:24,040 Speaker 1: these typically sort of lead to and or what kind 382 00:22:24,080 --> 00:22:28,199 Speaker 1: of expectation would you have, you know, I think the 383 00:22:28,320 --> 00:22:31,640 Speaker 1: last one of these I remember is I think Bernie 384 00:22:31,680 --> 00:22:36,639 Speaker 1: made off. The judge had a depart downward in the 385 00:22:36,720 --> 00:22:40,000 Speaker 1: sentencing guidelines to get him down to about thirty years 386 00:22:40,040 --> 00:22:43,439 Speaker 1: because the numbers are off the charts, and whenever you 387 00:22:43,520 --> 00:22:48,480 Speaker 1: see these two words associated with financial crimes money laundering, 388 00:22:49,320 --> 00:22:53,080 Speaker 1: what that ends up doing is turbo charging the both 389 00:22:53,119 --> 00:22:57,080 Speaker 1: the prison exposure and the way the sentencing guidelines work. 390 00:22:58,240 --> 00:23:01,560 Speaker 1: So you know, if he gets can victed on so 391 00:23:01,600 --> 00:23:04,840 Speaker 1: far they've brought eight counts, I would seriously doubt this 392 00:23:04,960 --> 00:23:08,240 Speaker 1: is the last indictment. I think this is the opening 393 00:23:08,280 --> 00:23:12,919 Speaker 1: salvo to get him extradited. But I mean, he's going 394 00:23:12,960 --> 00:23:17,840 Speaker 1: to be looking at potentially life in prison. That's what 395 00:23:17,920 --> 00:23:21,040 Speaker 1: I was going to ask. Would you expect that legitimately 396 00:23:21,119 --> 00:23:23,439 Speaker 1: and not one of those situations where you have like 397 00:23:23,840 --> 00:23:26,959 Speaker 1: forty different charges all adding up to life in prison. 398 00:23:27,000 --> 00:23:30,320 Speaker 1: But I mean, based on what they are throwing at him, 399 00:23:30,480 --> 00:23:32,639 Speaker 1: you think he could be staring down as a thirty 400 00:23:32,680 --> 00:23:35,280 Speaker 1: year old guy spending the rest of his life in prison. 401 00:23:35,920 --> 00:23:40,560 Speaker 1: So what the federal law tries to do is end 402 00:23:40,600 --> 00:23:46,040 Speaker 1: the ability of prosecutors to get people long sentences by 403 00:23:46,080 --> 00:23:50,000 Speaker 1: stacking counts. So you know, what the guidelines do is 404 00:23:50,320 --> 00:23:53,119 Speaker 1: they try to implement what they call real offense sentencing, 405 00:23:53,520 --> 00:23:56,240 Speaker 1: so that no matter how many counts there are, what 406 00:23:56,359 --> 00:23:59,399 Speaker 1: matters is the guidelines calculation. But the thing is with 407 00:23:59,480 --> 00:24:03,760 Speaker 1: financial fraud, once you get to nine digits, that's like, 408 00:24:04,040 --> 00:24:07,280 Speaker 1: you know, I mean, that's through the ceiling. Yeah, and 409 00:24:07,320 --> 00:24:09,679 Speaker 1: then there's all kinds of enhancements for the fact that 410 00:24:09,680 --> 00:24:12,840 Speaker 1: you're the you know, you're the one who designs the fraud, 411 00:24:12,920 --> 00:24:15,320 Speaker 1: and if you run something that's got you know, five 412 00:24:15,400 --> 00:24:17,440 Speaker 1: or more people in it, and there's all kinds of 413 00:24:17,480 --> 00:24:21,520 Speaker 1: stuff that they could raise us on. So he's looking 414 00:24:21,560 --> 00:24:23,960 Speaker 1: at lots of time if he gets convicted of these charges. 415 00:24:24,000 --> 00:24:27,320 Speaker 1: We're speaking of Andy McCarthy, Fox News contributor, National Review 416 00:24:27,359 --> 00:24:31,840 Speaker 1: writer and Southern District of New York career prosecutor. Andy, 417 00:24:32,960 --> 00:24:36,120 Speaker 1: what about this defense that I'm assuming and I think 418 00:24:36,160 --> 00:24:38,480 Speaker 1: most folks paying attention to this trial or assuming some 419 00:24:38,600 --> 00:24:42,080 Speaker 1: version of this based on Sam Bankman freed statements, which 420 00:24:42,560 --> 00:24:46,359 Speaker 1: you know, right. Usually when someone's you know, facing the 421 00:24:46,440 --> 00:24:48,840 Speaker 1: kind of charges, the kind of wait, this guy's facing, 422 00:24:48,880 --> 00:24:50,720 Speaker 1: they don't go around on a press tour, but he's 423 00:24:50,760 --> 00:24:55,639 Speaker 1: basically been doing that. But what about this defense, Andy, 424 00:24:55,920 --> 00:24:59,000 Speaker 1: it's just super complicated. I got over my head and 425 00:24:59,040 --> 00:25:02,879 Speaker 1: I didn't mean anyone any financial harm. Yeah, you know. 426 00:25:03,119 --> 00:25:05,120 Speaker 1: One of the reasons fuck that I made the point 427 00:25:05,160 --> 00:25:07,639 Speaker 1: at the beginning about this not being so much steeped 428 00:25:07,640 --> 00:25:12,680 Speaker 1: in the esoterica of of cryptocurrency is I really think 429 00:25:13,200 --> 00:25:14,959 Speaker 1: this is not going to be a hard fraud for 430 00:25:14,960 --> 00:25:19,359 Speaker 1: people to understand. You know, you take money from people, 431 00:25:20,080 --> 00:25:23,240 Speaker 1: you make certain representations to them about why you're taking 432 00:25:23,240 --> 00:25:25,760 Speaker 1: it from them and what they should expect, and then 433 00:25:25,800 --> 00:25:27,800 Speaker 1: you convert it to your own use. And if what 434 00:25:27,880 --> 00:25:32,160 Speaker 1: the Justice Department says in the charging documents is true, 435 00:25:33,000 --> 00:25:38,160 Speaker 1: what he did throughout the scheme was little accounting tricks 436 00:25:39,119 --> 00:25:42,600 Speaker 1: within the system that they did their book keeping, both 437 00:25:42,680 --> 00:25:46,720 Speaker 1: for FTX and for his other you know side thing 438 00:25:46,800 --> 00:25:51,240 Speaker 1: that he that he showed everything over to Alameda. Those 439 00:25:51,280 --> 00:25:54,439 Speaker 1: are the kinds of things that get people convicted because 440 00:25:54,480 --> 00:25:59,200 Speaker 1: they're you know, they show consciousness of guilt, and he's 441 00:25:59,200 --> 00:26:03,680 Speaker 1: not helping himself obviously by doing this tour. As you say, 442 00:26:03,880 --> 00:26:06,600 Speaker 1: it's highly unusual for somebody to do a press tour 443 00:26:06,720 --> 00:26:10,199 Speaker 1: under these circumstances where you're like the main suspect in 444 00:26:10,240 --> 00:26:12,960 Speaker 1: a big fraud. But it usually doesn't happen to someone 445 00:26:13,000 --> 00:26:17,800 Speaker 1: whose parents as Stanford law professors. So I'm a little puzzled. So, Andy, 446 00:26:17,880 --> 00:26:21,520 Speaker 1: would you expect that there will be other people indicted 447 00:26:21,560 --> 00:26:24,080 Speaker 1: based on what's going on here? Would you expect that 448 00:26:24,119 --> 00:26:26,040 Speaker 1: there will be a lot of people who will flip 449 00:26:26,160 --> 00:26:29,600 Speaker 1: and testify against him? In your experience, what would a 450 00:26:29,760 --> 00:26:34,080 Speaker 1: prosecution end up looking like given the voluminous nature of 451 00:26:34,200 --> 00:26:37,760 Speaker 1: this alleged fraud. Yeah, I think, Clay, that that's like 452 00:26:37,800 --> 00:26:42,600 Speaker 1: the main thing to take away from these indictments, because 453 00:26:42,640 --> 00:26:45,720 Speaker 1: I'm if I'm counting, if I'm remembering right, it's either 454 00:26:45,800 --> 00:26:50,800 Speaker 1: three conspiracy charges of four conspiracy conspiracy charges, and everything 455 00:26:50,800 --> 00:26:53,520 Speaker 1: in the indictment has played as a scheme, which usually 456 00:26:53,560 --> 00:26:56,720 Speaker 1: implies more than one people. But under federal law and 457 00:26:56,840 --> 00:27:00,359 Speaker 1: any law in fact, you can't conspire by yourself. It 458 00:27:00,440 --> 00:27:04,040 Speaker 1: takes two to tango, as they say, right, So the 459 00:27:04,119 --> 00:27:07,520 Speaker 1: fact that they brought at least three conspiracy charges indicates 460 00:27:07,560 --> 00:27:10,639 Speaker 1: to me that they already have identified people who have 461 00:27:10,720 --> 00:27:13,639 Speaker 1: to be co conspirators, So I would expect if you 462 00:27:13,680 --> 00:27:16,919 Speaker 1: don't see more indictments, it could be because people are 463 00:27:16,920 --> 00:27:21,240 Speaker 1: cooperating already and you'll see you guilty plea agreements and 464 00:27:21,680 --> 00:27:24,359 Speaker 1: that sort of stuff. But it just seems like it's 465 00:27:24,920 --> 00:27:29,920 Speaker 1: it's inescapable that if they're charging conspiracies, you don't want 466 00:27:29,960 --> 00:27:32,160 Speaker 1: to give him a defense that you know he can't 467 00:27:32,160 --> 00:27:34,879 Speaker 1: be guilty of conspiracy because there's no other conspirators, right, 468 00:27:34,920 --> 00:27:37,199 Speaker 1: so they have to have other people. Andy, I know 469 00:27:37,240 --> 00:27:40,000 Speaker 1: you're not a DJ at a wedding taking request here, 470 00:27:40,040 --> 00:27:41,760 Speaker 1: but can we for the next time we have you 471 00:27:41,800 --> 00:27:43,080 Speaker 1: all when you take a look at what's going on, 472 00:27:43,119 --> 00:27:45,240 Speaker 1: because Clay and I are really focused in on Idaho 473 00:27:45,680 --> 00:27:50,119 Speaker 1: and this case of the four murders there, because we 474 00:27:50,200 --> 00:27:52,200 Speaker 1: want to have you, after you've done a deep dive 475 00:27:52,240 --> 00:27:54,320 Speaker 1: come back and tell us what you think is going on, 476 00:27:54,400 --> 00:27:56,160 Speaker 1: because I know you've handled a lot of violent crime 477 00:27:56,200 --> 00:27:58,240 Speaker 1: stuff at the Southern District, So can we can we 478 00:27:58,240 --> 00:28:00,800 Speaker 1: put that request in with you? Oh? Yeah, no, i'd 479 00:28:00,800 --> 00:28:05,000 Speaker 1: be I'm glad that your producer raised with me, and 480 00:28:05,040 --> 00:28:07,520 Speaker 1: I'm glad he did because I haven't. I've been running 481 00:28:07,520 --> 00:28:09,760 Speaker 1: a randle bit so this is the firstcause this one. 482 00:28:09,800 --> 00:28:11,920 Speaker 1: I mean, people are literally being kept up at night 483 00:28:11,960 --> 00:28:14,600 Speaker 1: in Idaho over. I mean they're terrified given what happened there. 484 00:28:14,600 --> 00:28:17,879 Speaker 1: And there's just right now, nothing in terms of leads, 485 00:28:17,960 --> 00:28:19,800 Speaker 1: nothing in terms of any kind of break in the case. 486 00:28:19,800 --> 00:28:21,560 Speaker 1: So we'd love to bring your expertise to that one 487 00:28:21,800 --> 00:28:24,439 Speaker 1: and everybody should go read Andy on Sam Bankman, Freed 488 00:28:24,840 --> 00:28:27,520 Speaker 1: and the collapse of FTX over at Natural Review. Andy. 489 00:28:27,600 --> 00:28:30,480 Speaker 1: Always appreciate you, by friend, Thanks for being with us. Thanks, guys, 490 00:28:30,520 --> 00:28:35,280 Speaker 1: appreciate it. Gun owners at Aficionados, If keeping your your 491 00:28:35,320 --> 00:28:37,840 Speaker 1: shooting skills sharp is important to you, there's a great 492 00:28:37,840 --> 00:28:39,560 Speaker 1: new device you want to get for yourself. It's called 493 00:28:39,600 --> 00:28:41,600 Speaker 1: the Mantis X and it's a way for you to 494 00:28:41,640 --> 00:28:44,160 Speaker 1: train your shooting accuracy right from the comfort of your 495 00:28:44,160 --> 00:28:47,440 Speaker 1: own home. 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Welcome back in Clay Travis buck Sexton Show. 514 00:29:46,280 --> 00:29:47,640 Speaker 1: We're gonna take a couple of your calls here in 515 00:29:47,680 --> 00:29:50,000 Speaker 1: a moment. Buck, But we were just talking with our 516 00:29:50,000 --> 00:29:52,360 Speaker 1: good friend Andy McCarthy, and other than being a Mets fan, 517 00:29:52,400 --> 00:29:56,160 Speaker 1: he's pretty good dude. And I didn't I didn't, you know, 518 00:29:56,440 --> 00:29:58,520 Speaker 1: I didn't think he was a Mets fan. I thought 519 00:29:58,520 --> 00:30:01,240 Speaker 1: he was a Yankees guy. And sure enough, you know, Clay, 520 00:30:01,280 --> 00:30:03,880 Speaker 1: nobody's not that I care about baseball, but nobody's perfect. 521 00:30:04,680 --> 00:30:07,040 Speaker 1: Nineteen eighty six. It's a long time ago now. Um, 522 00:30:07,240 --> 00:30:09,360 Speaker 1: so sorry Mets fans. You were just driving around in 523 00:30:09,400 --> 00:30:10,880 Speaker 1: New York. He thought you were going to be hearing 524 00:30:10,880 --> 00:30:13,360 Speaker 1: about Sam Bankman Freedon's indictment. Next thing you know you're 525 00:30:13,360 --> 00:30:15,920 Speaker 1: getting it's at Clay Travis on Twitter. By the way, 526 00:30:16,000 --> 00:30:18,000 Speaker 1: and you can still, as a Mets fan give a 527 00:30:18,040 --> 00:30:22,920 Speaker 1: Bronx salute to Clay if you want. Uh, that's well played. Uh, Friday, Buck, 528 00:30:22,960 --> 00:30:26,719 Speaker 1: I was out to dinner with friends. Uh and uh, 529 00:30:26,840 --> 00:30:29,440 Speaker 1: you know, wives and husbands are big, you know, table 530 00:30:29,480 --> 00:30:33,080 Speaker 1: of friends. All everybody want to talk about was Idaho. 531 00:30:33,960 --> 00:30:38,360 Speaker 1: I mean, there is just this and the and if 532 00:30:38,400 --> 00:30:40,360 Speaker 1: you don't know what I'm talking about when I say Idaho, 533 00:30:40,680 --> 00:30:44,040 Speaker 1: the quadruple murder that we told Andy McCarthy, who we 534 00:30:44,080 --> 00:30:47,040 Speaker 1: want him to do some homework on the continue to 535 00:30:47,040 --> 00:30:52,760 Speaker 1: be revelations. There still is no real suspect. And I 536 00:30:52,920 --> 00:30:57,600 Speaker 1: just I can't stop reading about this murder. And for 537 00:30:57,640 --> 00:31:01,160 Speaker 1: those of you who have somehow missed it, four people 538 00:31:01,240 --> 00:31:04,840 Speaker 1: stabbed to death college kids at the University of Idaho 539 00:31:05,560 --> 00:31:08,640 Speaker 1: second and third floor of the home that they were 540 00:31:08,760 --> 00:31:12,320 Speaker 1: in two people were left alive on the first floor. 541 00:31:12,440 --> 00:31:16,920 Speaker 1: It's now been over a month I think since those 542 00:31:17,000 --> 00:31:19,760 Speaker 1: murders took place, at least close to a month. It 543 00:31:19,880 --> 00:31:23,920 Speaker 1: was before Thanksgiving that the murders took place. And there's 544 00:31:23,920 --> 00:31:27,800 Speaker 1: still a peer buck to be absolutely no suspects, no 545 00:31:28,080 --> 00:31:31,520 Speaker 1: movement at least publicly that appears to have occurred in 546 00:31:31,560 --> 00:31:35,000 Speaker 1: this case, and there continue to be a little drip 547 00:31:35,040 --> 00:31:39,000 Speaker 1: drip data points that come out, but I can't not 548 00:31:39,160 --> 00:31:41,160 Speaker 1: click on it every time I see a story. But 549 00:31:41,280 --> 00:31:44,520 Speaker 1: it doesn't seem like it's progressing in any way towards 550 00:31:44,760 --> 00:31:47,360 Speaker 1: figuring out who the suspect is. Are you still following 551 00:31:47,360 --> 00:31:52,400 Speaker 1: it aggressively like me, Yeah, I'm surprised that at this 552 00:31:52,480 --> 00:31:58,160 Speaker 1: stage there hasn't been There hasn't been more than at 553 00:31:58,240 --> 00:32:03,240 Speaker 1: least indicates they've got some direction. Now, everyone always points 554 00:32:03,240 --> 00:32:05,440 Speaker 1: this out, and I know what, I know what this is. Like, 555 00:32:05,480 --> 00:32:08,440 Speaker 1: I mean sometimes back in the in the CI, back 556 00:32:08,440 --> 00:32:12,440 Speaker 1: in the NYPD days, I remember with counter terrorism investigations, 557 00:32:12,880 --> 00:32:14,760 Speaker 1: there was what the papers had and then there's what 558 00:32:14,920 --> 00:32:18,040 Speaker 1: the actual investigation. Yeah, they weren't always the same thing 559 00:32:18,040 --> 00:32:22,000 Speaker 1: for obvious reasons. So the law enforcement may have a 560 00:32:22,160 --> 00:32:26,080 Speaker 1: bit more than we would think at this point. But 561 00:32:26,200 --> 00:32:29,640 Speaker 1: what we think at this point is that they've basically 562 00:32:29,680 --> 00:32:33,760 Speaker 1: got nothing, yeah, which which means even if there's more 563 00:32:33,800 --> 00:32:37,320 Speaker 1: than you know, it's not like they've got a general 564 00:32:37,360 --> 00:32:39,280 Speaker 1: sense of suspect. I don't believe they found the murder 565 00:32:39,320 --> 00:32:44,760 Speaker 1: weapon yet. This one, I don't know. I don't even have. 566 00:32:45,080 --> 00:32:48,160 Speaker 1: I think there's so little here, Clay that it's hard 567 00:32:48,240 --> 00:32:52,360 Speaker 1: to even have theories of the case for people that 568 00:32:52,440 --> 00:32:54,680 Speaker 1: follow these things very Let's why I ask. I mean, 569 00:32:54,680 --> 00:32:56,920 Speaker 1: you know, Andy's one of the smartest legal and prosecutorial 570 00:32:56,920 --> 00:33:00,240 Speaker 1: minds we know, and I'm just wondering, if you looks 571 00:33:00,240 --> 00:33:01,880 Speaker 1: at all the facts, what does he sense out of 572 00:33:01,880 --> 00:33:04,360 Speaker 1: this one, Because on the one hand, it should be 573 00:33:04,560 --> 00:33:09,200 Speaker 1: it seems like it's such a sloppy you know, mass 574 00:33:09,240 --> 00:33:11,840 Speaker 1: execution is essentially what occurred here, Right, You're going into 575 00:33:11,880 --> 00:33:13,360 Speaker 1: a house. There are other people in the house that 576 00:33:13,400 --> 00:33:17,160 Speaker 1: didn't get killed, their dogs nearby, done with a knife, 577 00:33:17,160 --> 00:33:20,360 Speaker 1: I mean, the whole thing, and there's nothing. Yeah. It 578 00:33:20,680 --> 00:33:23,040 Speaker 1: sort of defies belief at this point, it really does. 579 00:33:23,680 --> 00:33:26,120 Speaker 1: And again, the knife I think connects with so many 580 00:33:26,120 --> 00:33:28,560 Speaker 1: different people because it's such a violent act, and I 581 00:33:28,720 --> 00:33:30,680 Speaker 1: was when we talked, we need to get Nancy Grace 582 00:33:30,800 --> 00:33:33,280 Speaker 1: on again and see if she has any sort of 583 00:33:33,360 --> 00:33:36,880 Speaker 1: clarity or any ideas about where this might go. She 584 00:33:37,000 --> 00:33:38,840 Speaker 1: was great with us a couple of weeks ago. I 585 00:33:38,840 --> 00:33:40,440 Speaker 1: think we had her on if I remember correct, a 586 00:33:40,440 --> 00:33:44,280 Speaker 1: month ago, Yeah, to talk about this, and I mentioned 587 00:33:44,320 --> 00:33:46,800 Speaker 1: that we'll take a couple of calls here momentarily not 588 00:33:46,920 --> 00:33:49,040 Speaker 1: on this related issue, but Buck, you know, I'm a 589 00:33:49,080 --> 00:33:53,479 Speaker 1: history nerd. In the Civil War, soldiers hated to use 590 00:33:53,520 --> 00:33:57,920 Speaker 1: their bayonets because there was something different about firing a 591 00:33:58,000 --> 00:34:01,680 Speaker 1: long rifle at someone in a distance and then the 592 00:34:01,760 --> 00:34:04,640 Speaker 1: hand to hand combat that was necessary with the bayonet. 593 00:34:04,720 --> 00:34:09,600 Speaker 1: So it's just such a visceral, violent personal attack with 594 00:34:09,680 --> 00:34:12,920 Speaker 1: a knife, I think, in a way that doesn't exist 595 00:34:12,960 --> 00:34:15,960 Speaker 1: in the same way, not that obviously I had. The 596 00:34:16,000 --> 00:34:19,480 Speaker 1: shooting is different than a stabbing. I had a rudimentary 597 00:34:20,080 --> 00:34:23,719 Speaker 1: um edge weapons instruction back in my CIA days, just 598 00:34:23,920 --> 00:34:27,080 Speaker 1: very very basics kind of one oh one. You start 599 00:34:27,120 --> 00:34:31,399 Speaker 1: off with effectively anatomy class. That's how they train you. Yeah, 600 00:34:31,440 --> 00:34:34,680 Speaker 1: that's how you learn. So it's very different than than 601 00:34:34,719 --> 00:34:39,680 Speaker 1: what you learn even on a rifle range. So uh, okay, 602 00:34:39,760 --> 00:34:42,839 Speaker 1: let's get to some calls. Ya, get some calls Dan 603 00:34:43,160 --> 00:34:46,080 Speaker 1: in Dan the deplorable truck Drive had a lot of 604 00:34:46,080 --> 00:34:49,400 Speaker 1: good truck drivers. We always do calling in Savannah, Georgia. 605 00:34:49,640 --> 00:34:52,920 Speaker 1: You want to weigh in on DeSantis going after potentially 606 00:34:52,960 --> 00:34:56,680 Speaker 1: the COVID shot companies. That's right, and I think that 607 00:34:56,880 --> 00:34:59,440 Speaker 1: I think you nailed it, Buck, I think you nailed 608 00:34:59,440 --> 00:35:03,040 Speaker 1: it on the head when you allude it to him 609 00:35:03,080 --> 00:35:06,440 Speaker 1: being able to talk about Operation Warp Speed. So basically, 610 00:35:06,880 --> 00:35:08,960 Speaker 1: you're going to have all the Trump people, all the 611 00:35:09,000 --> 00:35:13,840 Speaker 1: Trump supporters, all the all the analysts, you and Clay 612 00:35:13,960 --> 00:35:17,400 Speaker 1: and and Sean Hannity and of course the left media, 613 00:35:17,600 --> 00:35:20,480 Speaker 1: They're all going to get, you know, drips of information 614 00:35:20,680 --> 00:35:25,040 Speaker 1: about Operation Warp Speed and how actually it wasn't good. 615 00:35:25,280 --> 00:35:27,480 Speaker 1: And that is probably what's going to come out of 616 00:35:27,520 --> 00:35:31,240 Speaker 1: this grand jury investigation in Florida, and that is going 617 00:35:31,320 --> 00:35:35,360 Speaker 1: to really take a part anything Donald Trump has to 618 00:35:35,440 --> 00:35:39,600 Speaker 1: claim fame for the COVID situation. You know, everything with 619 00:35:39,680 --> 00:35:42,040 Speaker 1: him is operation warp Speed. Look what we did, Look 620 00:35:42,080 --> 00:35:43,839 Speaker 1: what we Yeah. You bring up a very good point, 621 00:35:43,880 --> 00:35:47,040 Speaker 1: because not only does that become their defense if Trump 622 00:35:47,120 --> 00:35:52,279 Speaker 1: continues to speak in glowing terms about the vaccine he's 623 00:35:52,400 --> 00:35:55,799 Speaker 1: going to lose supporters on his side that he's going 624 00:35:55,840 --> 00:35:58,080 Speaker 1: to need here. That's a great point, just as a side, 625 00:35:58,080 --> 00:35:59,799 Speaker 1: don't you know, Clay, I was in Savannah. We had 626 00:35:59,800 --> 00:36:03,919 Speaker 1: a oh yeah, yeah. I love Savannah, Georgia so much. 627 00:36:03,960 --> 00:36:06,400 Speaker 1: Every time I'm there, I start looking on Zillo. I'm like, 628 00:36:06,440 --> 00:36:08,320 Speaker 1: maybe I could just live, you know, buy a place 629 00:36:08,360 --> 00:36:11,640 Speaker 1: here live. I love Savannah, it's so charming. I stumbled 630 00:36:11,680 --> 00:36:15,200 Speaker 1: in with Carrie to a place called the Web Military Museum. 631 00:36:15,440 --> 00:36:17,919 Speaker 1: This guy in a carriage house set up. He's got 632 00:36:18,000 --> 00:36:22,160 Speaker 1: different periods, Civil War, Revolutionary War, World War One, World 633 00:36:22,160 --> 00:36:25,760 Speaker 1: War two, right in downtown Savannah, his own private collection. 634 00:36:25,840 --> 00:36:27,920 Speaker 1: You walk through this museum, it's awesome. And then we 635 00:36:27,960 --> 00:36:30,960 Speaker 1: went to some fancy art gallery, walked around feeling fancy. 636 00:36:31,000 --> 00:36:32,520 Speaker 1: I mean, Savannah is the best. But yeah, the Web 637 00:36:32,520 --> 00:36:34,200 Speaker 1: Military Museum. If you go in there, tell him you 638 00:36:34,200 --> 00:36:36,160 Speaker 1: heard about him on the Buck Section Show. It's pretty cool. 639 00:36:36,400 --> 00:36:39,160 Speaker 1: Guy's got his own private collection. Savannah is a top 640 00:36:39,280 --> 00:36:42,120 Speaker 1: five city in the country for a weekend for me, Clay, Oh, 641 00:36:42,200 --> 00:36:44,720 Speaker 1: that's great. It's a fantastic place, a lot in common 642 00:36:44,760 --> 00:36:47,319 Speaker 1: with Charleston, which is also a phenomenal place to go 643 00:36:47,400 --> 00:36:50,200 Speaker 1: visit third hour of the program. Coming up next, Stephen 644 00:36:50,280 --> 00:36:56,000 Speaker 1: Miller off the top rope. We'll talk with him.