1 00:00:00,120 --> 00:00:03,239 Speaker 1: Our three on Clay and Buck starts now. Everybody, thanks 2 00:00:03,279 --> 00:00:06,520 Speaker 1: for hanging with us from all across the nation. I'm 3 00:00:06,559 --> 00:00:12,840 Speaker 1: here in Tallahassee, Florida for the Governor Rhonda Santist inauguration. 4 00:00:13,000 --> 00:00:16,239 Speaker 1: Clay be joining me here later on today. It is 5 00:00:16,280 --> 00:00:20,760 Speaker 1: a joyous day in Tallahassee for those gathered because the 6 00:00:20,760 --> 00:00:25,120 Speaker 1: governor has shown such great results and great promise going forward. 7 00:00:25,520 --> 00:00:27,920 Speaker 1: So we'll try to share some video and photos and 8 00:00:27,960 --> 00:00:30,960 Speaker 1: things later on today with all of you as the 9 00:00:31,120 --> 00:00:36,680 Speaker 1: events are happening here. Florida obviously was a big bright 10 00:00:36,920 --> 00:00:40,879 Speaker 1: red spot in this last election cycle, and it's one 11 00:00:40,920 --> 00:00:42,920 Speaker 1: of the things that those of us who believe in 12 00:00:43,000 --> 00:00:46,960 Speaker 1: conservatism and freedom and rule of law and the constitution 13 00:00:47,200 --> 00:00:50,120 Speaker 1: can point to as a big, a big win in 14 00:00:50,159 --> 00:00:55,040 Speaker 1: an otherwise disappointing in term election. But Clay and I 15 00:00:55,080 --> 00:00:58,000 Speaker 1: were talking to you, Oh, we will be getting into 16 00:00:58,240 --> 00:01:04,240 Speaker 1: the latest on this Idaho Uh, this Idaho slaying of 17 00:01:04,280 --> 00:01:09,080 Speaker 1: four college students by somebody who allegedly by somebody who 18 00:01:09,200 --> 00:01:11,600 Speaker 1: is currently in custody right now. We have a forensics 19 00:01:11,640 --> 00:01:14,760 Speaker 1: expert to join because that that case round a lot 20 00:01:14,800 --> 00:01:16,280 Speaker 1: of people, I mean Clay and I, we had we 21 00:01:16,319 --> 00:01:21,160 Speaker 1: had people from Moscow, Idaho calling in saying people were terrified, 22 00:01:21,200 --> 00:01:23,080 Speaker 1: didn't want to go back to school in the area. 23 00:01:23,200 --> 00:01:26,720 Speaker 1: And you know, and you had a clearly a psycho 24 00:01:26,800 --> 00:01:30,839 Speaker 1: killer on the loose, and perhaps now is in custody, 25 00:01:31,200 --> 00:01:33,960 Speaker 1: allegedly in custody. Is certainly a lot of things lining up. 26 00:01:33,959 --> 00:01:36,320 Speaker 1: We'll get into that, but Clay, you know, there are 27 00:01:36,360 --> 00:01:39,240 Speaker 1: these these headlines just from the last twenty four hours 28 00:01:39,959 --> 00:01:44,720 Speaker 1: back on the COVID front. For a moment, Omicron offshoot 29 00:01:44,959 --> 00:01:49,720 Speaker 1: XBB one point five could drive new COVID nineteen surge 30 00:01:49,800 --> 00:01:53,280 Speaker 1: in the US. That's CNN, sky News new COVID variant 31 00:01:54,040 --> 00:01:55,960 Speaker 1: could be the one to watch out for in twenty 32 00:01:56,040 --> 00:02:00,480 Speaker 1: twenty three after surgeon cases. That's Sky News. There NBC 33 00:02:00,520 --> 00:02:06,400 Speaker 1: News XBB one five subvariant, CDC reports new omicron strain 34 00:02:06,520 --> 00:02:08,960 Speaker 1: taking over. Now, there's a lot to work through here. 35 00:02:09,000 --> 00:02:14,600 Speaker 1: First of all, though the wokeness in naming of virus, 36 00:02:14,400 --> 00:02:17,840 Speaker 1: this was inevitable. Some of us said that this was coming. 37 00:02:18,720 --> 00:02:21,840 Speaker 1: You know, people's minds work in a certain way. When 38 00:02:21,840 --> 00:02:25,680 Speaker 1: you give something a name, it's pretty easy to remember, right, 39 00:02:25,720 --> 00:02:28,800 Speaker 1: this is the virus that is named for a region, 40 00:02:28,919 --> 00:02:31,760 Speaker 1: or this is a named for a condition that it produces, 41 00:02:31,800 --> 00:02:34,640 Speaker 1: whatever it may be. I think it's gonna be hard 42 00:02:34,680 --> 00:02:39,320 Speaker 1: to keep track of xb B point one point five 43 00:02:39,560 --> 00:02:43,200 Speaker 1: point seven nine two five or I mean, this is 44 00:02:43,240 --> 00:02:45,560 Speaker 1: getting crazy in and of itself because we don't want 45 00:02:45,560 --> 00:02:47,560 Speaker 1: to name it after a place or a thing or 46 00:02:47,600 --> 00:02:50,400 Speaker 1: an animal, right, because that's always a problem. Oh, you're 47 00:02:50,600 --> 00:02:55,639 Speaker 1: you're stigmatizing the virus or the whatever. That's one part 48 00:02:55,639 --> 00:02:59,640 Speaker 1: of this. But Clay, this Wall Street Journal editorial that 49 00:02:59,720 --> 00:03:02,959 Speaker 1: came out over the weekend. You know it's an editorial, 50 00:03:02,960 --> 00:03:06,560 Speaker 1: it's not in the hard news section. Our vaccines fueling 51 00:03:06,680 --> 00:03:11,000 Speaker 1: new COVID variants. The virus appears to be evolving in 52 00:03:11,080 --> 00:03:16,440 Speaker 1: ways that evade immunity. I just want to start with this. 53 00:03:16,520 --> 00:03:17,880 Speaker 1: We can get us on the details here. You and 54 00:03:17,880 --> 00:03:21,480 Speaker 1: I are both fascinated by this piece. This was one 55 00:03:21,520 --> 00:03:25,200 Speaker 1: of the things that in the whole vaccine debate you 56 00:03:25,240 --> 00:03:31,919 Speaker 1: would get the most furious backlash and people We're particularly 57 00:03:31,919 --> 00:03:34,040 Speaker 1: all of a sudden, even people that were willing to say, well, 58 00:03:34,120 --> 00:03:37,080 Speaker 1: I'm I'm not so into mandates, they would they would 59 00:03:37,080 --> 00:03:39,920 Speaker 1: allow you to have that discussion because obviously the mandates 60 00:03:39,920 --> 00:03:42,800 Speaker 1: were obscene and wrong. But even people that were a 61 00:03:42,800 --> 00:03:46,200 Speaker 1: little would waffle on that one the moment you said, well, 62 00:03:46,240 --> 00:03:51,600 Speaker 1: hold on, what about the possibility of downside from the 63 00:03:51,640 --> 00:03:56,680 Speaker 1: biggest mass inoculation in the history of the planet with 64 00:03:56,840 --> 00:04:02,760 Speaker 1: a experimental drug. What about the downside for the virus 65 00:04:02,920 --> 00:04:06,520 Speaker 1: or for its mutations or for the selection process, Clay, 66 00:04:06,560 --> 00:04:08,520 Speaker 1: I think that was one of the biggest third rails 67 00:04:08,560 --> 00:04:12,280 Speaker 1: of this, and now here we are a year later, 68 00:04:12,840 --> 00:04:15,280 Speaker 1: people are able to talk about it again because of 69 00:04:15,440 --> 00:04:18,599 Speaker 1: the data. Here's a couple of paragraphs from this Wall 70 00:04:18,640 --> 00:04:21,279 Speaker 1: Street Journal article that I think is worth sharing, and 71 00:04:21,360 --> 00:04:23,440 Speaker 1: I'd encourage you all. I think you've shared it. I've 72 00:04:23,480 --> 00:04:25,320 Speaker 1: shared it. You can find it at buck Sex and 73 00:04:25,400 --> 00:04:27,880 Speaker 1: you can find it at Clay Travis if you want 74 00:04:27,920 --> 00:04:31,240 Speaker 1: to read this full editorial piece inside the Wall Street 75 00:04:31,279 --> 00:04:34,560 Speaker 1: Journal yourself, but I'm reading directly from it. A study 76 00:04:34,640 --> 00:04:38,600 Speaker 1: this month in the journal Cell found that antibody levels 77 00:04:38,600 --> 00:04:41,599 Speaker 1: of people who'd received four shots were one hundred and 78 00:04:41,680 --> 00:04:45,280 Speaker 1: forty five times as high against the original wu Munt 79 00:04:45,279 --> 00:04:49,839 Speaker 1: strain as the XBB variant. A bi valunt booster only 80 00:04:50,000 --> 00:04:56,480 Speaker 1: slightly increased antibodies against this new variant. XBB. Experts nevertheless 81 00:04:56,600 --> 00:05:03,359 Speaker 1: claim boosters improved protection. Again this new variant XBB directly 82 00:05:03,480 --> 00:05:09,800 Speaker 1: quoting that's disinformation to use their favored term. And again, 83 00:05:09,839 --> 00:05:14,359 Speaker 1: there are studies out there that suggests that the more 84 00:05:14,760 --> 00:05:19,200 Speaker 1: COVID shots you get, the more likely you are to 85 00:05:19,440 --> 00:05:24,440 Speaker 1: actually get COVID. And this is the worst case scenario, right, 86 00:05:24,440 --> 00:05:26,400 Speaker 1: Because it's one thing to say, well, if you get 87 00:05:26,400 --> 00:05:29,160 Speaker 1: the COVID shot, you're a little bit protected or at 88 00:05:29,240 --> 00:05:32,880 Speaker 1: least it won't have any negative impact on you. There 89 00:05:32,880 --> 00:05:37,200 Speaker 1: are now datas sets that are reflecting buck that the 90 00:05:37,360 --> 00:05:39,560 Speaker 1: more of these shots you got. In other words, if 91 00:05:39,600 --> 00:05:42,920 Speaker 1: you are the mask wearing you've gone out and gotten 92 00:05:43,040 --> 00:05:47,320 Speaker 1: five or six shots, far from making yourself safer, you've 93 00:05:47,360 --> 00:05:51,039 Speaker 1: actually made yourself more likely play COVID. Is it a 94 00:05:51,080 --> 00:05:53,920 Speaker 1: well fitting mask that's always now the mark of the 95 00:05:54,000 --> 00:05:57,880 Speaker 1: of the holdout lunatic? Its Well, it's a well fitted mask. 96 00:05:58,160 --> 00:06:01,080 Speaker 1: We went through single masks, ploth mask, double mass and 97 00:06:01,240 --> 00:06:06,000 Speaker 1: ninety five masks. Now it's the well fitting mask that's 98 00:06:06,000 --> 00:06:08,479 Speaker 1: always the tip off. Kind of like the pronouns in 99 00:06:08,480 --> 00:06:10,240 Speaker 1: the bio, right, you know, you know you're dealing with 100 00:06:10,240 --> 00:06:12,359 Speaker 1: what they say, it's a well fitting mask. Clay, you 101 00:06:12,400 --> 00:06:14,440 Speaker 1: brought up worst case scenario, and I want to be clear, 102 00:06:14,520 --> 00:06:17,520 Speaker 1: this is worst case scenario that we are we have 103 00:06:17,680 --> 00:06:20,159 Speaker 1: not seen and do not have the data for yet. 104 00:06:20,400 --> 00:06:23,880 Speaker 1: This is not happening now, Could this happen in the future. 105 00:06:23,920 --> 00:06:27,280 Speaker 1: We're talking worst case scenario. You brought up that this 106 00:06:27,360 --> 00:06:30,440 Speaker 1: makes it more likely. Some of these studies are showing 107 00:06:31,160 --> 00:06:34,600 Speaker 1: it is more likely you will get COVID the more 108 00:06:34,640 --> 00:06:36,680 Speaker 1: shots you've had. That is what the data suggest. This 109 00:06:36,760 --> 00:06:38,400 Speaker 1: is from the Wall Street Journal, just to be clear 110 00:06:38,440 --> 00:06:40,359 Speaker 1: out there for you know, media matters and whoever's going 111 00:06:40,400 --> 00:06:43,400 Speaker 1: to come after us all the for this. Okay, The 112 00:06:43,520 --> 00:06:46,320 Speaker 1: really worst worst case scenario would be something that we'd 113 00:06:46,360 --> 00:06:49,839 Speaker 1: mentioned before on the show for which there is no 114 00:06:50,480 --> 00:06:53,560 Speaker 1: real evidence now, which would be antibody dependent enhancement of 115 00:06:53,600 --> 00:06:57,800 Speaker 1: some kind where it's actually it makes it easier for 116 00:06:57,839 --> 00:07:01,320 Speaker 1: you to get an extreme infection after calculation that does 117 00:07:01,400 --> 00:07:05,200 Speaker 1: exist in some cases in nature that has not happened here. 118 00:07:06,160 --> 00:07:09,840 Speaker 1: But if you're still talking worst case scenario, let me 119 00:07:09,920 --> 00:07:14,280 Speaker 1: read from this Wall Street Journal editorial. Such rapid and 120 00:07:14,360 --> 00:07:20,360 Speaker 1: simultaneous emergence of multiple variants with enormous growth advantages is unprecedented. 121 00:07:20,600 --> 00:07:24,160 Speaker 1: According to a December nineteen study in the Journal Nature, 122 00:07:24,480 --> 00:07:29,640 Speaker 1: as respected journals will find anywhere. Under selective evolutionary pressures, 123 00:07:29,680 --> 00:07:32,960 Speaker 1: the virus appears to have developed mutations that enable it 124 00:07:33,040 --> 00:07:38,200 Speaker 1: to transmit more easily and escape antibodies elicited by vaccines 125 00:07:38,240 --> 00:07:42,400 Speaker 1: and prior infections. Okay, end quote. Here's what is being 126 00:07:42,960 --> 00:07:45,720 Speaker 1: raised as a possibility in the Wall Street Journal on 127 00:07:45,760 --> 00:07:50,360 Speaker 1: this editorial page linking to Nature, which is, as we said, 128 00:07:50,400 --> 00:07:53,360 Speaker 1: as this is like you know, the Lancet, Nature, New 129 00:07:53,400 --> 00:07:55,920 Speaker 1: England Journal of Medicine. These are the ones that everybody, 130 00:07:56,000 --> 00:07:59,280 Speaker 1: even not in the medical community, knows, Clay, what you're 131 00:07:59,280 --> 00:08:03,200 Speaker 1: talking about. More shots equals more likely to get infected. 132 00:08:03,920 --> 00:08:07,000 Speaker 1: That is a thesis right now. But it's a thesis 133 00:08:07,720 --> 00:08:11,960 Speaker 1: for a substantially less dangerous version of COVID, which is 134 00:08:11,960 --> 00:08:15,040 Speaker 1: why it's not even if that's true, it's not a 135 00:08:15,040 --> 00:08:17,680 Speaker 1: five alarm fire. It brings up a lot of questions 136 00:08:17,680 --> 00:08:19,760 Speaker 1: about the vaccines and the mandates and everything else, to 137 00:08:19,840 --> 00:08:22,880 Speaker 1: be sure, but it's not, Oh my god, what are 138 00:08:22,880 --> 00:08:25,720 Speaker 1: we going to do time? Because the virus has become 139 00:08:25,960 --> 00:08:29,840 Speaker 1: much less dangerous try not to say much less virulent, 140 00:08:29,920 --> 00:08:33,280 Speaker 1: much less dangerous overall compared to what it was. The 141 00:08:33,400 --> 00:08:36,480 Speaker 1: problem going back to worst case scenario is if it 142 00:08:36,600 --> 00:08:41,560 Speaker 1: is evolving specifically in response at an accelerated rate to 143 00:08:41,800 --> 00:08:46,880 Speaker 1: the vaccines. If we stay on this vaccine vaccine, vaccine, booster, 144 00:08:46,920 --> 00:08:51,440 Speaker 1: booster booster schedule, you may be training in the future 145 00:08:51,960 --> 00:08:55,840 Speaker 1: a more dangerous version of the virus. Again, not saying 146 00:08:55,880 --> 00:08:58,640 Speaker 1: we are there, not saying that will happen, but that 147 00:08:58,800 --> 00:09:02,520 Speaker 1: is the worst case scenario that you can extrapolate from 148 00:09:02,559 --> 00:09:06,960 Speaker 1: the current data as a possibility. And Buck. The interesting 149 00:09:07,000 --> 00:09:10,120 Speaker 1: part about what you are laying out is one of 150 00:09:10,160 --> 00:09:13,240 Speaker 1: their initial demands for why there had to be a 151 00:09:13,280 --> 00:09:18,160 Speaker 1: mandate was because the people who don't get the shot 152 00:09:18,320 --> 00:09:21,560 Speaker 1: are going to lead to the creation of new variants. 153 00:09:22,120 --> 00:09:25,200 Speaker 1: Now we might be looking at the exact opposite of that, 154 00:09:25,720 --> 00:09:30,240 Speaker 1: where the people who get the shots more are actually 155 00:09:30,280 --> 00:09:33,480 Speaker 1: accelerating the creation of more variants. And this is what 156 00:09:33,640 --> 00:09:36,520 Speaker 1: Barrenson Alex Barnson, who was on with us right before Christmas, 157 00:09:36,720 --> 00:09:39,400 Speaker 1: wrote about him one of his most recent substacks, which 158 00:09:39,520 --> 00:09:44,480 Speaker 1: is Japan, which is one of the most vaccinated countries 159 00:09:44,520 --> 00:09:47,760 Speaker 1: in the world, and also Buck one of the countries 160 00:09:47,800 --> 00:09:51,280 Speaker 1: that has been most likely to wear those tightly fitting 161 00:09:51,360 --> 00:09:56,360 Speaker 1: masks throughout this entire process. Is right now setting new 162 00:09:56,720 --> 00:10:01,040 Speaker 1: nearly all time highs for COVID deaths. If the vaccines 163 00:10:01,080 --> 00:10:02,680 Speaker 1: and I don't even think we can use the term 164 00:10:03,040 --> 00:10:04,719 Speaker 1: vaccine anymore. I think we should just call them the 165 00:10:04,760 --> 00:10:08,280 Speaker 1: COVID shot. If the COVID shots worked in any kind 166 00:10:08,280 --> 00:10:12,800 Speaker 1: of significant way, what is occurring in Japan would be impossible, right, 167 00:10:12,840 --> 00:10:16,120 Speaker 1: because if you have ninety eight percent COVID shot uptake 168 00:10:16,679 --> 00:10:20,600 Speaker 1: then and you also have everybody wearing masks, then literally 169 00:10:20,640 --> 00:10:23,680 Speaker 1: this is the fevered dream of the Fauciites of the world. 170 00:10:24,000 --> 00:10:26,920 Speaker 1: Everybody got the COVID shot, everybody wears right the right 171 00:10:27,000 --> 00:10:31,200 Speaker 1: kind of mask, and yet deaths are still skyrocketing. And 172 00:10:31,280 --> 00:10:33,760 Speaker 1: I would want to know, and I wonder now if 173 00:10:33,800 --> 00:10:36,560 Speaker 1: we can have because you know, you and I we know, 174 00:10:36,679 --> 00:10:38,760 Speaker 1: we know, we know, we don't know, right, and we're 175 00:10:38,760 --> 00:10:40,520 Speaker 1: just trying to think these things through based on the 176 00:10:40,600 --> 00:10:42,960 Speaker 1: data and based on being two guys who spend a 177 00:10:42,960 --> 00:10:46,000 Speaker 1: lot of time reading and thinking about these issues. Maybe 178 00:10:46,080 --> 00:10:48,600 Speaker 1: there will start to be some experts who don't have 179 00:10:48,960 --> 00:10:51,040 Speaker 1: you know, and I mean true medical experts who don't 180 00:10:51,040 --> 00:10:55,040 Speaker 1: have five Ukraine flags and preferred pronouns and six little 181 00:10:55,120 --> 00:10:58,400 Speaker 1: vaccine needles in their Twitter, bio who will come forward 182 00:10:58,400 --> 00:11:01,560 Speaker 1: and answer questions like if this is true and it 183 00:11:01,600 --> 00:11:04,280 Speaker 1: certainly seems you know, you just can You can do 184 00:11:04,320 --> 00:11:07,040 Speaker 1: this intuitively. You can understand what you just said about Japan. 185 00:11:07,520 --> 00:11:12,080 Speaker 1: What is their explanation? Explain explain to us in a 186 00:11:12,160 --> 00:11:16,360 Speaker 1: way that everybody because public health policy is actually about 187 00:11:16,400 --> 00:11:19,200 Speaker 1: the public understanding. This is one thing that was completely 188 00:11:19,240 --> 00:11:22,480 Speaker 1: abandoned during COVID. If you really want to deal with 189 00:11:22,520 --> 00:11:25,160 Speaker 1: a pandemic, you not only have to have good information, 190 00:11:25,320 --> 00:11:28,320 Speaker 1: you have to have good information that the public understands 191 00:11:28,360 --> 00:11:31,680 Speaker 1: and will act on. Instead of trying to repeatedly be 192 00:11:31,840 --> 00:11:35,480 Speaker 1: wrong and force they were wrong, they forced more they 193 00:11:35,480 --> 00:11:39,000 Speaker 1: were wrong. They pushed even harder. Because if what we're 194 00:11:39,000 --> 00:11:43,560 Speaker 1: seeing is true that the shots, the COVID shots in 195 00:11:43,679 --> 00:11:48,280 Speaker 1: booster form rapidly administered in a way that even outpaces 196 00:11:48,280 --> 00:11:50,320 Speaker 1: what we see with flu season right or with the 197 00:11:50,320 --> 00:11:52,080 Speaker 1: flu shot. Now they're trying to do these sort of 198 00:11:52,080 --> 00:11:55,320 Speaker 1: shots that are multiple things, and whatever if they're wrong 199 00:11:55,360 --> 00:11:57,480 Speaker 1: footing immune system so that you're more likely to get 200 00:11:57,480 --> 00:12:01,920 Speaker 1: infected and also even having a slightly less capable immune response, 201 00:12:02,480 --> 00:12:05,240 Speaker 1: it might take five years, it might take fifteen years. 202 00:12:05,360 --> 00:12:08,560 Speaker 1: But if this cycle continues on and we do get 203 00:12:08,559 --> 00:12:11,679 Speaker 1: the dangerous variant that they promised us could happen if 204 00:12:11,679 --> 00:12:14,520 Speaker 1: we didn't get enough shots. Yep, that they always said 205 00:12:14,640 --> 00:12:17,240 Speaker 1: was a possibility. All the super dangerous variant could come 206 00:12:17,240 --> 00:12:19,800 Speaker 1: if you don't get all the shots. Well, are we 207 00:12:19,840 --> 00:12:22,079 Speaker 1: setting ourselves up for? And like I said, five or 208 00:12:22,120 --> 00:12:25,240 Speaker 1: ten years from now, the variant comes along that is 209 00:12:25,280 --> 00:12:27,959 Speaker 1: more dangerous. Maybe it's natural and that it's more dangerous, 210 00:12:28,120 --> 00:12:30,520 Speaker 1: but we are less capable of dealing with it, or 211 00:12:30,760 --> 00:12:35,280 Speaker 1: rather those who got booster number ten booster number fifteen. 212 00:12:36,000 --> 00:12:40,000 Speaker 1: I would want someone to explain this slowly and clearly, 213 00:12:40,440 --> 00:12:42,520 Speaker 1: who has the background, so that we can all understand, 214 00:12:42,640 --> 00:12:44,600 Speaker 1: because what they've told us up you know what we have. 215 00:12:44,800 --> 00:12:46,560 Speaker 1: We have a let's come back just to we have 216 00:12:46,600 --> 00:12:49,640 Speaker 1: a great montage of what they have been saying about 217 00:12:49,679 --> 00:12:52,280 Speaker 1: this for anybody's Look, well, you guys don't know. The 218 00:12:52,400 --> 00:12:57,400 Speaker 1: people who said they knew they didn't know. Crap. That's important. 219 00:12:57,440 --> 00:13:01,280 Speaker 1: What's also important here is you know what people are 220 00:13:01,320 --> 00:13:04,440 Speaker 1: actually doing. Buck they're voting with their own decisions on 221 00:13:04,520 --> 00:13:07,679 Speaker 1: the boosters, because hardly anybody's getting them now. So they 222 00:13:07,720 --> 00:13:10,160 Speaker 1: may not admit it, but I think the uptake on 223 00:13:10,160 --> 00:13:12,679 Speaker 1: this bi vgelant is only like twenty percent of American 224 00:13:12,720 --> 00:13:16,040 Speaker 1: populations actually getting it, So we might get the benefit 225 00:13:16,240 --> 00:13:20,680 Speaker 1: of everybody finally saying hey, this is not working, let's 226 00:13:20,720 --> 00:13:22,600 Speaker 1: just go ahead in the band. They will bury you 227 00:13:22,640 --> 00:13:24,520 Speaker 1: and I know this though, They will bury and or 228 00:13:24,600 --> 00:13:27,680 Speaker 1: slow roll that data because now we have a control group. 229 00:13:27,880 --> 00:13:32,400 Speaker 1: Eighty percent of the American people, and hopefully all of 230 00:13:32,440 --> 00:13:35,280 Speaker 1: you listening right now are certainly not getting your young 231 00:13:35,360 --> 00:13:37,679 Speaker 1: children in these shots. Please please, please don't do that. 232 00:13:38,200 --> 00:13:40,319 Speaker 1: It's a new year, and you know what we need 233 00:13:40,360 --> 00:13:45,720 Speaker 1: in this country more testosterone. We need more men who 234 00:13:45,760 --> 00:13:49,080 Speaker 1: are happy to be men, less beta males like everybody 235 00:13:49,120 --> 00:13:52,839 Speaker 1: we're seeing inside of the White House. You know what, 236 00:13:52,840 --> 00:13:55,000 Speaker 1: I can get a little bit more energy, a little 237 00:13:55,040 --> 00:13:58,480 Speaker 1: bit more vim vigor vitality. How about getting hooked up 238 00:13:58,559 --> 00:14:01,360 Speaker 1: right now with chalk. Chalk put a lot of time 239 00:14:01,400 --> 00:14:04,560 Speaker 1: into researching herbal ingredients that would give you a natural 240 00:14:04,600 --> 00:14:08,080 Speaker 1: boost of energy. They lab test every product twice to 241 00:14:08,240 --> 00:14:12,760 Speaker 1: ensure purity and potency, and they're going after something that's significant. 242 00:14:12,760 --> 00:14:16,400 Speaker 1: Testosterone levels in the average man have dropped fifty percent 243 00:14:16,800 --> 00:14:20,800 Speaker 1: over the last several decades. How crazy is that fifty 244 00:14:20,840 --> 00:14:24,880 Speaker 1: percent that's scary. 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Clay Travis and Buck 255 00:15:03,800 --> 00:15:15,520 Speaker 1: Sexton who walking back end Clay Travis buck Sexton show. 256 00:15:15,640 --> 00:15:19,280 Speaker 1: We're talking about all the COVID insanity and we've got 257 00:15:19,280 --> 00:15:21,480 Speaker 1: a montage. If you're out there and you're saying you 258 00:15:21,480 --> 00:15:24,320 Speaker 1: guys aren't doctors, why in the world should we trust you? 259 00:15:24,440 --> 00:15:27,480 Speaker 1: I will point out Buck that I've got a law degree. 260 00:15:27,520 --> 00:15:31,720 Speaker 1: You worked in the CIA. Every law legal case I've 261 00:15:31,720 --> 00:15:35,080 Speaker 1: ever been involved in. You question people even if you're 262 00:15:35,080 --> 00:15:38,160 Speaker 1: not an expert, Like if you get a mail practice case. 263 00:15:38,840 --> 00:15:41,200 Speaker 1: Most of the time the lawyers who are grilling the 264 00:15:41,280 --> 00:15:45,240 Speaker 1: doctors are not doctors, right, They just study and look 265 00:15:45,240 --> 00:15:48,160 Speaker 1: at the data. Unlike the intelligence community, Claver, we never 266 00:15:48,200 --> 00:15:53,440 Speaker 1: get anything wrong. Yeah, you guys never make any mistakes. 267 00:15:54,040 --> 00:15:56,320 Speaker 1: Here is the that's a joke for all the people 268 00:15:56,320 --> 00:15:59,200 Speaker 1: are gonna send it me angry emails. There's a choked 269 00:15:59,480 --> 00:16:02,840 Speaker 1: Here is the public health community. We've got a montage 270 00:16:02,920 --> 00:16:05,480 Speaker 1: for you of all the things that they got wrong. 271 00:16:05,520 --> 00:16:09,000 Speaker 1: If you're upset about our conversation, just listen to all 272 00:16:09,040 --> 00:16:13,560 Speaker 1: the things that the quote unquote experts got wrong. Enjoy 273 00:16:13,840 --> 00:16:17,360 Speaker 1: and our patients is wearing thin, and your refusal has 274 00:16:17,440 --> 00:16:20,520 Speaker 1: cost all of us people who are incubators. For every 275 00:16:20,680 --> 00:16:26,560 Speaker 1: variant to come walking around wawfully unvaccinated. That's psychotic in 276 00:16:26,600 --> 00:16:29,760 Speaker 1: a world of threats and tyrants and terror. You know 277 00:16:29,800 --> 00:16:33,160 Speaker 1: what our biggest enemy is in America, our fellow Americans. 278 00:16:33,520 --> 00:16:36,440 Speaker 1: They are the ones that are propagating this outbreak. Being 279 00:16:36,440 --> 00:16:39,080 Speaker 1: frustrated that there is still a percentage of the population 280 00:16:39,400 --> 00:16:41,320 Speaker 1: who are not vaccinated. And I wish that he would 281 00:16:41,360 --> 00:16:45,320 Speaker 1: go further to restrict the activities of the unvaccinated vaccinated 282 00:16:45,360 --> 00:16:47,360 Speaker 1: person having a heart attack. Yes, come right on him. 283 00:16:47,400 --> 00:16:51,200 Speaker 1: We'll take care of you, unvaccinated guy who gobbled horse gooop, 284 00:16:51,440 --> 00:16:54,120 Speaker 1: rest in peace, wheezing. If you're willing to walk among 285 00:16:54,240 --> 00:16:59,280 Speaker 1: us unvaccinated, you are an enemy pandemic of the unvaccinated, 286 00:17:00,080 --> 00:17:03,320 Speaker 1: the only pandemic we have among the unvaccinative. Freedom not 287 00:17:03,360 --> 00:17:07,320 Speaker 1: to follow the facts, even if your freedom kills people, 288 00:17:07,840 --> 00:17:10,359 Speaker 1: what kind of freedom is them? Almost like it's going 289 00:17:10,440 --> 00:17:15,640 Speaker 1: to be two Americas, Clay. The viciousness, stupidity and wrongness 290 00:17:16,080 --> 00:17:18,960 Speaker 1: that we just heard there from Biden to Fauci to 291 00:17:19,080 --> 00:17:22,280 Speaker 1: cable news idiots, do you name it. There really hasn't 292 00:17:22,280 --> 00:17:25,359 Speaker 1: been the consequences that should have happened for this still 293 00:17:25,720 --> 00:17:28,000 Speaker 1: and it's not over though. That's the other part of this. 294 00:17:28,160 --> 00:17:30,440 Speaker 1: We're still finding out more and they're not done trying 295 00:17:30,440 --> 00:17:32,680 Speaker 1: to ram this stuff down our throats. And I think 296 00:17:32,680 --> 00:17:35,440 Speaker 1: the Twitter files that are supposed to drop any minute 297 00:17:35,480 --> 00:17:39,280 Speaker 1: now could be about the fouch little fouch maybe having 298 00:17:39,320 --> 00:17:43,800 Speaker 1: a rough day in retirement, no doubt, Buck. And just again, 299 00:17:44,280 --> 00:17:47,560 Speaker 1: it's not only that they were wrong, it's that what 300 00:17:47,600 --> 00:17:51,200 Speaker 1: they were telling you might have been the exact wrong 301 00:17:51,280 --> 00:17:54,840 Speaker 1: thing to do. We may be considering keeping and COVID 302 00:17:54,880 --> 00:17:59,119 Speaker 1: maybe going and continuing as a factor because everybody listened 303 00:17:59,160 --> 00:18:02,320 Speaker 1: to these embassies, and if more of us had refused 304 00:18:02,320 --> 00:18:04,120 Speaker 1: to get the COVID shot, we'd be better off. That's 305 00:18:04,119 --> 00:18:06,439 Speaker 1: what the data is now showing. 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Pure Talk is simply smarter wireless 321 00:18:56,560 --> 00:19:02,080 Speaker 1: pound two five zero. Do it today. Clay Travis and 322 00:19:02,200 --> 00:19:14,280 Speaker 1: Buck Sexton on the front lines of Welcome back to 323 00:19:14,359 --> 00:19:17,639 Speaker 1: Play and Buck. We wanted to update you with the 324 00:19:17,720 --> 00:19:22,520 Speaker 1: latest on this case of the four college students who 325 00:19:22,520 --> 00:19:27,840 Speaker 1: were brually murdered with a knife in Moscow, Idaho. We 326 00:19:27,960 --> 00:19:31,720 Speaker 1: know that there is an individual in custody. We want 327 00:19:31,760 --> 00:19:34,080 Speaker 1: to know how are they able to find them? To 328 00:19:34,160 --> 00:19:36,520 Speaker 1: the best of our ability to figure this out and 329 00:19:36,800 --> 00:19:40,119 Speaker 1: what is the at this stage, the gravity of the 330 00:19:40,200 --> 00:19:43,639 Speaker 1: evidence against him, the totality of it against him. Joseph 331 00:19:43,680 --> 00:19:46,280 Speaker 1: Scott Morgan is with us now. He's a distinguished scholar 332 00:19:46,320 --> 00:19:51,000 Speaker 1: of applied for forensics. And Joseph, appreciate you. You're joining 333 00:19:51,080 --> 00:19:52,399 Speaker 1: us once again. I know you've got a chance to 334 00:19:52,400 --> 00:19:56,720 Speaker 1: speak to Clay, tell everybody where this stands right now. 335 00:19:56,840 --> 00:19:58,800 Speaker 1: I mean, what, how are they able to track this 336 00:19:58,920 --> 00:20:01,840 Speaker 1: individual down based on the news reports, based on what 337 00:20:01,880 --> 00:20:06,160 Speaker 1: we've seen pretty fells Harry All, Happy New Year, Thanks 338 00:20:06,160 --> 00:20:09,480 Speaker 1: for having me back. Yeah, that the reality is is 339 00:20:09,520 --> 00:20:12,119 Speaker 1: that they have some type of physical evidence at this 340 00:20:12,160 --> 00:20:14,920 Speaker 1: point in time that's going to be a biological tieback 341 00:20:16,240 --> 00:20:19,600 Speaker 1: on this subject. My understanding at this point, there's been 342 00:20:19,640 --> 00:20:23,840 Speaker 1: a lot of back and forth relative to DNA events. 343 00:20:24,040 --> 00:20:28,080 Speaker 1: We don't know exactly how they how they acquired it. 344 00:20:28,600 --> 00:20:34,280 Speaker 1: We've heard that the scene was just saturated in blood, 345 00:20:34,520 --> 00:20:37,359 Speaker 1: so I think that that's kind of a starting point 346 00:20:37,400 --> 00:20:39,920 Speaker 1: for us. We don't know at this point, obviously, if 347 00:20:39,920 --> 00:20:43,560 Speaker 1: he was injured in this assault. Remember this is a 348 00:20:43,640 --> 00:20:48,640 Speaker 1: sharp edged weapon that this fellow was using. And many 349 00:20:48,680 --> 00:20:51,600 Speaker 1: times in my experience, at least you have these events 350 00:20:51,600 --> 00:20:54,440 Speaker 1: where subjects will cut themselves and you'll have this kind 351 00:20:54,440 --> 00:20:57,360 Speaker 1: of what's referred to as commingling a blood. And if 352 00:20:57,400 --> 00:21:01,119 Speaker 1: that's the case, they would have had to have separated 353 00:21:01,160 --> 00:21:04,400 Speaker 1: out all of the DNA profiles. You know, obviously you've 354 00:21:04,440 --> 00:21:07,680 Speaker 1: got known profiles. You've got these poor victims, the four 355 00:21:07,720 --> 00:21:10,520 Speaker 1: young people that were killed, you know them, there were 356 00:21:10,520 --> 00:21:12,240 Speaker 1: the two down in the basement. I'm sure that they 357 00:21:12,320 --> 00:21:16,200 Speaker 1: probably did cheek swabs and buckal mucosa swabs on them. 358 00:21:16,359 --> 00:21:20,200 Speaker 1: They'd be eliminated in any of their intimate partners. And 359 00:21:20,240 --> 00:21:24,960 Speaker 1: then you'll wind up with unknowns from within the house, 360 00:21:25,040 --> 00:21:26,760 Speaker 1: and it's set that point in time, it gets a 361 00:21:26,760 --> 00:21:29,600 Speaker 1: bit more complicated. They have to try to suss that 362 00:21:29,680 --> 00:21:32,159 Speaker 1: out and try to understand who this unknown is and 363 00:21:33,200 --> 00:21:35,119 Speaker 1: talk around the campfire. At least at this point in 364 00:21:35,160 --> 00:21:37,400 Speaker 1: time that we're kind of here, and is that they 365 00:21:37,480 --> 00:21:43,840 Speaker 1: may have used genetic genealogy here, which you know, they're 366 00:21:43,840 --> 00:21:47,040 Speaker 1: looking for common ancests, which essentially somebody that has submitted 367 00:21:47,040 --> 00:21:50,520 Speaker 1: a DNA sample to one of these companies to try 368 00:21:50,560 --> 00:21:52,960 Speaker 1: to figure out their past. You're just gonna jump in 369 00:21:53,000 --> 00:21:55,480 Speaker 1: just to make sure that I'm clear. So you're saying, then, Joseph, 370 00:21:55,480 --> 00:21:57,399 Speaker 1: it is possible. I know you're not saying this, but 371 00:21:57,520 --> 00:22:00,760 Speaker 1: you've heard that the break in this case may be 372 00:22:00,880 --> 00:22:04,960 Speaker 1: related to somebody doing ancestry dot com twenty three and me, etc. 373 00:22:05,400 --> 00:22:07,639 Speaker 1: And then able to track from that. Is that is 374 00:22:07,640 --> 00:22:10,840 Speaker 1: that the theory? Yeah? Yeah, I think that's that's the 375 00:22:10,920 --> 00:22:14,320 Speaker 1: drift right now. You know, there are those cases that 376 00:22:14,359 --> 00:22:16,720 Speaker 1: are out there because this guy is not the subject, 377 00:22:16,720 --> 00:22:20,240 Speaker 1: the accused. This not in a database, he's not in covids. 378 00:22:20,320 --> 00:22:21,960 Speaker 1: You know, he's not a prior to sex offender or 379 00:22:21,960 --> 00:22:25,479 Speaker 1: anything like that, so he didn't have a profile you know, 380 00:22:26,200 --> 00:22:30,440 Speaker 1: on board. Uh, so you start with an unknown at 381 00:22:30,440 --> 00:22:33,600 Speaker 1: this point in time. You know, I thought, I think 382 00:22:33,640 --> 00:22:35,520 Speaker 1: many of us were thinking in my field at least, 383 00:22:35,520 --> 00:22:37,159 Speaker 1: you know, will kind of kick it around some of 384 00:22:37,160 --> 00:22:39,199 Speaker 1: my colleagues and you know, kind of thinking about this. 385 00:22:39,240 --> 00:22:41,840 Speaker 1: Sometimes you'll have these cases where you know, they'll put 386 00:22:41,840 --> 00:22:44,520 Speaker 1: a team on you and they're watching you, they suspect 387 00:22:44,600 --> 00:22:47,480 Speaker 1: that you might be this person. They have unknown DNA 388 00:22:47,520 --> 00:22:50,840 Speaker 1: at the scene. And then you leave a cup laying around, 389 00:22:50,960 --> 00:22:54,359 Speaker 1: or straw or a napped him, you know. And once 390 00:22:54,480 --> 00:22:56,560 Speaker 1: you know, guys, once you throw that away, you throw 391 00:22:56,600 --> 00:22:59,080 Speaker 1: it in the trash, it's no longer yours. They collect 392 00:22:59,119 --> 00:23:00,600 Speaker 1: it and they run it. But you know, it just 393 00:23:00,640 --> 00:23:03,000 Speaker 1: seems like they were sitting on top of this and 394 00:23:03,160 --> 00:23:07,199 Speaker 1: they'd probably known for a while, I would imagine, But 395 00:23:07,640 --> 00:23:11,320 Speaker 1: they have a lot of this biological materials, very great 396 00:23:11,359 --> 00:23:14,720 Speaker 1: dense so it took them a bit of time to 397 00:23:14,800 --> 00:23:17,800 Speaker 1: kind of work out the profiles in this. But it 398 00:23:17,840 --> 00:23:22,119 Speaker 1: would seem this, along with some other some other forensic evidence, 399 00:23:22,160 --> 00:23:24,040 Speaker 1: it's going to come to light. I think we're gonna 400 00:23:24,080 --> 00:23:26,879 Speaker 1: hear about it in the next couple of days. I 401 00:23:26,960 --> 00:23:30,880 Speaker 1: think that's that's what they've used to dentifoscript. So first 402 00:23:30,880 --> 00:23:33,360 Speaker 1: of all, thanks for coming on again. We got great feedback, 403 00:23:33,640 --> 00:23:38,320 Speaker 1: Joseph Scott Morgan. When you see it appears that this guy, 404 00:23:38,359 --> 00:23:43,840 Speaker 1: this suspect was basically getting a PhD in forensics and 405 00:23:43,920 --> 00:23:47,880 Speaker 1: therefore may have been almost training to be a serial 406 00:23:48,000 --> 00:23:52,840 Speaker 1: killer or have been driven into a life of the 407 00:23:52,920 --> 00:23:56,840 Speaker 1: potential crime based on this attraction to a dark side 408 00:23:57,000 --> 00:24:00,840 Speaker 1: in some way, would that help to explain maybe the 409 00:24:00,880 --> 00:24:05,199 Speaker 1: difficulties that have initially ensued that this guy was basically 410 00:24:05,240 --> 00:24:09,159 Speaker 1: aware of some of the criminal procedures that would be undertaken. 411 00:24:09,200 --> 00:24:12,600 Speaker 1: In other words, for people like in your world of forensics, 412 00:24:12,960 --> 00:24:15,639 Speaker 1: you probably would be way better at committing a crime 413 00:24:15,760 --> 00:24:18,720 Speaker 1: because you know how people have gotten caught. Does it 414 00:24:18,720 --> 00:24:21,439 Speaker 1: surprise you that the guy would maybe be coming out 415 00:24:21,480 --> 00:24:25,479 Speaker 1: of this study and this field. As for people who 416 00:24:25,520 --> 00:24:29,800 Speaker 1: don't know he's purportedly a suspect, a Washington State grad 417 00:24:29,880 --> 00:24:36,000 Speaker 1: student basically getting a doctorate in criminology and forensics. Yeah, well, yeah, 418 00:24:36,200 --> 00:24:40,840 Speaker 1: we draw fonline here because it's in criminology, and you know, 419 00:24:40,880 --> 00:24:44,080 Speaker 1: there's there's there's this idea that's kind of floating around 420 00:24:44,160 --> 00:24:46,840 Speaker 1: out there, and the criminology people and the forensics people 421 00:24:46,840 --> 00:24:49,359 Speaker 1: are the same, and we're not at all. And you know, 422 00:24:49,400 --> 00:24:51,719 Speaker 1: he's more of a behavior of that's kind of what 423 00:24:51,760 --> 00:24:53,399 Speaker 1: he was studying. Okay, even when he was at the 424 00:24:53,440 --> 00:24:58,080 Speaker 1: sales you know, yeah, he knows something about behavior. But 425 00:24:58,240 --> 00:24:59,840 Speaker 1: keep in mind, you know, and all of these act 426 00:25:00,040 --> 00:25:07,720 Speaker 1: deemic institutions like this, they're a theoretical environment. Okay, in forensics, 427 00:25:07,760 --> 00:25:10,560 Speaker 1: we're an applied environment. You know, even the university out 428 00:25:11,280 --> 00:25:14,320 Speaker 1: we teach applied forensics, and that is you know, you 429 00:25:14,400 --> 00:25:17,400 Speaker 1: go from A to Z and a process, a process 430 00:25:17,440 --> 00:25:19,879 Speaker 1: and a C. He does not have a kind of background. Now, 431 00:25:19,960 --> 00:25:24,280 Speaker 1: he's he has a morbid curiosity, i think, and criminal 432 00:25:24,280 --> 00:25:26,600 Speaker 1: behavior of the criminal mind, all these sorts of things. 433 00:25:26,840 --> 00:25:29,200 Speaker 1: And I'm sure he's watching playing of television. He's probably 434 00:25:29,240 --> 00:25:33,200 Speaker 1: fascinated by all of this and how how bad guys 435 00:25:33,240 --> 00:25:37,639 Speaker 1: minds kind of work. But he does not know the 436 00:25:37,720 --> 00:25:41,520 Speaker 1: nuts and bolts of forensic science. And you know, if 437 00:25:41,520 --> 00:25:45,280 Speaker 1: he went in prepared to do something, if the subject 438 00:25:45,280 --> 00:25:48,200 Speaker 1: went in, the accuse went in to do something, he's 439 00:25:48,240 --> 00:25:51,680 Speaker 1: always going to miss something, trust me, because again, there's 440 00:25:51,680 --> 00:25:54,320 Speaker 1: so much physical evidence here. And we have ways in 441 00:25:54,480 --> 00:25:58,479 Speaker 1: my field, my colleagues of kind of rooting out at 442 00:25:58,520 --> 00:26:02,080 Speaker 1: a molecular level, these things that are specific tie backs 443 00:26:02,240 --> 00:26:05,360 Speaker 1: to any individual that was in that environment. But basically 444 00:26:05,359 --> 00:26:07,560 Speaker 1: you told us, you said, sorry to cut you off, 445 00:26:07,560 --> 00:26:10,680 Speaker 1: but you were like, anytime you do anything, you leave 446 00:26:10,720 --> 00:26:14,480 Speaker 1: a trace behind. That's kind of the bible of forensics, right, 447 00:26:14,520 --> 00:26:18,640 Speaker 1: so that even if you were a genius criminal. It's 448 00:26:18,680 --> 00:26:22,240 Speaker 1: impossible to have a quote unquote perfect crime scene, right 449 00:26:22,280 --> 00:26:27,760 Speaker 1: because there's always something that's being left behind. Is that accurate? Yes, yes, 450 00:26:27,960 --> 00:26:31,760 Speaker 1: it is there. You know there there is no perfect crime. 451 00:26:31,840 --> 00:26:34,760 Speaker 1: There's absolutely not, because there's always a human factor in it. 452 00:26:35,160 --> 00:26:38,840 Speaker 1: And it might be our own you know, self love, 453 00:26:39,680 --> 00:26:43,320 Speaker 1: our desire, our lack of focus that's going to trip 454 00:26:43,400 --> 00:26:47,640 Speaker 1: us up. Look, science will always Science will always catch 455 00:26:47,720 --> 00:26:50,480 Speaker 1: you in the end because it's an absolute. When you 456 00:26:50,520 --> 00:26:52,560 Speaker 1: begin to talk about numbers and all these it's not 457 00:26:52,640 --> 00:26:56,920 Speaker 1: a theoretical kind of construct. We're basing things on numbers. 458 00:26:57,000 --> 00:26:58,800 Speaker 1: Do they add up? And you know, when you start 459 00:26:58,800 --> 00:27:01,879 Speaker 1: to get out into the area is a DNA you know, 460 00:27:01,880 --> 00:27:04,760 Speaker 1: we're talking about one in a million, one one in 461 00:27:04,920 --> 00:27:09,000 Speaker 1: ten billion, you know, deepended upon what kind of sample 462 00:27:09,119 --> 00:27:11,640 Speaker 1: you have hou it's been run. This is not even 463 00:27:12,280 --> 00:27:15,280 Speaker 1: it's it's more accurate than even fingerprints, if you will. 464 00:27:15,840 --> 00:27:17,560 Speaker 1: And certainly back in the days when we were just 465 00:27:17,680 --> 00:27:20,240 Speaker 1: using it relying on things like blood typing, you know, 466 00:27:20,280 --> 00:27:22,480 Speaker 1: the rarest blood it's like an ab nag I think, 467 00:27:22,520 --> 00:27:25,159 Speaker 1: and that's like one in two hundred and forty people. 468 00:27:25,520 --> 00:27:29,359 Speaker 1: You know, now you're into the one and some odd billion. Okay, 469 00:27:29,600 --> 00:27:33,000 Speaker 1: so that kind of when you start going against those 470 00:27:33,080 --> 00:27:35,960 Speaker 1: numbers and you look at that and the ability of 471 00:27:36,000 --> 00:27:38,119 Speaker 1: the people are working in the field. Now, it's a 472 00:27:38,119 --> 00:27:41,440 Speaker 1: tough mountain to clomb. Guys. Joseph Scott Morgan, the single 473 00:27:41,560 --> 00:27:44,800 Speaker 1: scholar of applied forensics. You can listen to his podcast 474 00:27:44,840 --> 00:27:49,240 Speaker 1: on iHeart the Body Bags Podcast. Joseph. As this continues 475 00:27:49,240 --> 00:27:50,560 Speaker 1: to play out, we'll have you back. Thanks for being 476 00:27:50,560 --> 00:27:54,679 Speaker 1: with us, please do guys. Happy New Year to everybody. Yes, sir, 477 00:27:54,680 --> 00:27:58,080 Speaker 1: are you too. My Pillow was excited to announce the 478 00:27:58,080 --> 00:28:02,360 Speaker 1: original my Slippers are back in stock. 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Eight hundred seven nine two three two six nine. 498 00:28:55,480 --> 00:28:57,360 Speaker 1: I've got the my slippers. Clay's got them. It's so 499 00:28:57,440 --> 00:29:01,200 Speaker 1: families got them. They're amazing. Eight hundred seven nine two 500 00:29:01,240 --> 00:29:05,520 Speaker 1: three two six nins. Subscribe to CNB twenty four to 501 00:29:05,560 --> 00:29:08,200 Speaker 1: seven and never miss a minute of Clay and Bucks 502 00:29:08,240 --> 00:29:11,760 Speaker 1: while getting behind the scene access to special content for 503 00:29:11,920 --> 00:29:24,240 Speaker 1: members only. Welcome back in Clay Travis Buck Sexton Show. 504 00:29:25,440 --> 00:29:29,240 Speaker 1: They are now going to complete a second ballot for 505 00:29:29,400 --> 00:29:32,400 Speaker 1: the Speaker of the House, and Kevin McCarthy is not 506 00:29:32,560 --> 00:29:37,040 Speaker 1: going to have those votes either. So for everybody out 507 00:29:37,080 --> 00:29:39,920 Speaker 1: there who was wondering how exactly this is going to 508 00:29:40,000 --> 00:29:45,320 Speaker 1: go there are at least so far nineteen Republicans who 509 00:29:45,360 --> 00:29:49,600 Speaker 1: are holding out on supporting Kevin McCarthy. He has to 510 00:29:49,600 --> 00:29:53,560 Speaker 1: get a majority two hundred and eighteen. The second ballot 511 00:29:53,760 --> 00:29:57,200 Speaker 1: is not going to work either. I texted a friend 512 00:29:57,200 --> 00:30:01,520 Speaker 1: Buck who works in the House, and I just said, Hey, 513 00:30:01,920 --> 00:30:06,440 Speaker 1: what happens if they just keep voting and nobody can 514 00:30:06,480 --> 00:30:09,800 Speaker 1: get to two hundred and eighteen. And he texted me 515 00:30:09,840 --> 00:30:12,520 Speaker 1: back and said, there's no time limit. The House keeps 516 00:30:12,600 --> 00:30:16,440 Speaker 1: voting until there's a speaker. Until then, there'll be no 517 00:30:16,600 --> 00:30:20,680 Speaker 1: House rules. Committees can't operate, New members can't be appointed 518 00:30:20,680 --> 00:30:24,600 Speaker 1: to a committee. And he said, you're basically in purgatory. 519 00:30:25,040 --> 00:30:27,480 Speaker 1: So for those of you out there that are wondering, hey, 520 00:30:27,560 --> 00:30:31,080 Speaker 1: where does this go? I don't know what the game 521 00:30:31,120 --> 00:30:35,120 Speaker 1: plan is of the holdouts. They are now supposedly voting 522 00:30:35,160 --> 00:30:40,280 Speaker 1: for Jim Jordan. Ironically, Jim Jordan has said that he 523 00:30:40,320 --> 00:30:43,520 Speaker 1: believes Kevin McCarthy should be the speaker, and so that's 524 00:30:43,520 --> 00:30:45,680 Speaker 1: where we are right now. As then, Jim Jordan's a 525 00:30:45,680 --> 00:30:47,239 Speaker 1: friend of the show. He's been on the show a 526 00:30:47,240 --> 00:30:49,440 Speaker 1: ton over the years, Buddy, I would consider him to 527 00:30:49,480 --> 00:30:54,280 Speaker 1: be a friend. He is supporting Kevin McCarthy and the 528 00:30:54,320 --> 00:30:57,719 Speaker 1: holdout Republicans are supporting Jim Jordan. Where does this all go? 529 00:30:57,920 --> 00:31:00,760 Speaker 1: What is the endgame? That's the should we started off 530 00:31:00,800 --> 00:31:02,720 Speaker 1: the show with, and we really don't have a good answer. 531 00:31:03,160 --> 00:31:07,320 Speaker 1: One hundred years since this has happened where a speaker 532 00:31:07,320 --> 00:31:11,080 Speaker 1: has failed to win an initial vote for the Speaker 533 00:31:11,120 --> 00:31:13,840 Speaker 1: of the House. One hundred years and according to the 534 00:31:13,920 --> 00:31:16,680 Speaker 1: Daily Mail year I think it was back in eighteen 535 00:31:17,000 --> 00:31:21,520 Speaker 1: fifty six over this issue of the Speaker of the House. 536 00:31:21,520 --> 00:31:25,280 Speaker 1: Congress was brought to a standstill for two months. So 537 00:31:25,360 --> 00:31:30,560 Speaker 1: this could go on for quite a while, and you know, 538 00:31:30,960 --> 00:31:33,240 Speaker 1: you wonder. I mean, look, there are these other moments. 539 00:31:33,280 --> 00:31:37,480 Speaker 1: There's when people will do the actual long form filibuster 540 00:31:37,600 --> 00:31:39,200 Speaker 1: and you say, well, why are you doing it that way? Well, 541 00:31:39,240 --> 00:31:42,720 Speaker 1: because it draws attention to it and allows for more 542 00:31:42,800 --> 00:31:45,640 Speaker 1: of a focused conversation on a particular issue. Let's say 543 00:31:45,720 --> 00:31:47,600 Speaker 1: that's the argument. Whether people believe that or not. I mean, 544 00:31:47,600 --> 00:31:51,479 Speaker 1: how many filibusters do you really remember? This could go 545 00:31:51,520 --> 00:31:54,920 Speaker 1: on for quite a bit and it will be curious 546 00:31:55,000 --> 00:31:58,600 Speaker 1: to see what the end result of this is. It 547 00:31:58,640 --> 00:32:01,440 Speaker 1: could end up just looking like a lot of frustration 548 00:32:01,480 --> 00:32:04,360 Speaker 1: and much ado about nothing, I think, but I don't know. 549 00:32:04,920 --> 00:32:08,280 Speaker 1: You know, this is you know, we're an uncharted territory. 550 00:32:08,320 --> 00:32:10,360 Speaker 1: First of all. When something hasn't happened for one hundred years, 551 00:32:10,400 --> 00:32:13,480 Speaker 1: it's tough to look at the look at the history 552 00:32:13,480 --> 00:32:15,320 Speaker 1: of and say, well, we know where this is heading out. 553 00:32:15,360 --> 00:32:17,640 Speaker 1: I don't think anybody knows exactly right now how this 554 00:32:17,720 --> 00:32:21,680 Speaker 1: will will shake out. So, yeah, man, it's got to 555 00:32:21,720 --> 00:32:24,480 Speaker 1: get somebody to t eighteen buck and right now it 556 00:32:24,520 --> 00:32:27,520 Speaker 1: doesn't appear that the Kevin McCarthy has got the ability 557 00:32:27,560 --> 00:32:30,200 Speaker 1: to get to to eighteen. I've kind of been hitting 558 00:32:30,200 --> 00:32:33,960 Speaker 1: at I don't know anything, you know particular, but could 559 00:32:34,040 --> 00:32:36,920 Speaker 1: there be an external candidate that can get to to eighteen? 560 00:32:37,040 --> 00:32:40,960 Speaker 1: Here's another question. Could some Republicans get frustrated with this 561 00:32:41,040 --> 00:32:48,280 Speaker 1: process go to Democrats and say, hey, would you be 562 00:32:48,400 --> 00:32:50,840 Speaker 1: willing to vote for a mode I'm just tossing it 563 00:32:50,840 --> 00:32:55,920 Speaker 1: out there, a proposed moderate Republican. Are there twenty five 564 00:32:56,040 --> 00:32:59,880 Speaker 1: Republicans who could join with the two hundred some odd 565 00:33:00,200 --> 00:33:03,600 Speaker 1: Democrats to get to two eighteen? Just tossing that out 566 00:33:03,640 --> 00:33:06,320 Speaker 1: there as a possibility. I don't think, I hope not 567 00:33:06,960 --> 00:33:10,000 Speaker 1: that any Republican is going to break and say, oh, 568 00:33:10,080 --> 00:33:15,320 Speaker 1: we'll support Hakim Jefferies, the Democrat nominee. But this is 569 00:33:15,400 --> 00:33:18,320 Speaker 1: a mess. Again. The question that I asked when we 570 00:33:18,360 --> 00:33:20,480 Speaker 1: started the show, buck is what happens if they just 571 00:33:20,520 --> 00:33:25,000 Speaker 1: don't pick a speaker for months? Basically nothing happens. Well, 572 00:33:25,000 --> 00:33:28,360 Speaker 1: this is also it is reminiscent of the conversations we 573 00:33:28,440 --> 00:33:34,000 Speaker 1: end up having about government shutdowns, because everybody ends up saying, oh, 574 00:33:34,040 --> 00:33:37,360 Speaker 1: my gosh, like, what are we gonna do? They find out, well, actually, 575 00:33:37,640 --> 00:33:40,360 Speaker 1: it kind of just yeah, sure, there might be Some 576 00:33:41,320 --> 00:33:43,960 Speaker 1: people have called this the fireman first strategy, right anytime 577 00:33:43,960 --> 00:33:46,000 Speaker 1: a mayor faces budget because like, oh, I guess we 578 00:33:46,080 --> 00:33:47,960 Speaker 1: got to cut the fire department, right, because they don't 579 00:33:47,960 --> 00:33:50,360 Speaker 1: want their budget to be lessened at all. So they 580 00:33:50,400 --> 00:33:54,760 Speaker 1: do things with the federal government shutdown, like national parks 581 00:33:55,120 --> 00:33:57,560 Speaker 1: or you know, flights of veterans to the World War 582 00:33:57,600 --> 00:33:59,520 Speaker 1: Two memorial. You know, all of a sudden, they try 583 00:33:59,520 --> 00:34:02,400 Speaker 1: to go for the more visible things because a lot 584 00:34:02,400 --> 00:34:05,040 Speaker 1: of the rest of it is on autopilot, and you realize, no, 585 00:34:05,200 --> 00:34:08,200 Speaker 1: it's okay. A government shutdown doesn't actually mean we're in 586 00:34:08,239 --> 00:34:11,440 Speaker 1: mad Max territory and there's no water or fuel for 587 00:34:11,480 --> 00:34:14,279 Speaker 1: anybody like, it's okay. It actually you live through it. 588 00:34:14,280 --> 00:34:16,560 Speaker 1: It's not a big deal. I don't remember when exactly 589 00:34:16,560 --> 00:34:18,800 Speaker 1: it was, because again, all these things kind of rolled together, 590 00:34:18,800 --> 00:34:21,200 Speaker 1: but I remember us doing pre show prep one day 591 00:34:21,560 --> 00:34:24,160 Speaker 1: and you were like, yeah, this whole government shutdown thing, 592 00:34:24,200 --> 00:34:26,360 Speaker 1: do you care. I was like, no, nothing's gonna happen nobody. 593 00:34:26,440 --> 00:34:30,160 Speaker 1: I mean, it's all a big show, and so so 594 00:34:30,200 --> 00:34:31,680 Speaker 1: we'll see what happens with this. I did want to 595 00:34:31,719 --> 00:34:33,759 Speaker 1: mention this book because we were talking about it off air. 596 00:34:34,400 --> 00:34:40,879 Speaker 1: The video of the collapsing player Damar Hamlin I said, 597 00:34:40,920 --> 00:34:43,759 Speaker 1: we had a big discussion and we did at OutKick 598 00:34:43,920 --> 00:34:47,320 Speaker 1: because people decided, oh, my goodness, how in the world 599 00:34:47,320 --> 00:34:49,799 Speaker 1: are you going to share this video? And I do 600 00:34:49,840 --> 00:34:52,840 Speaker 1: think this is important because it is an interesting It 601 00:34:52,920 --> 00:34:56,239 Speaker 1: is an interesting point. The mob comes together and they say, oh, 602 00:34:56,280 --> 00:34:59,600 Speaker 1: we shouldn't be sharing this video. But my perspective is 603 00:34:59,680 --> 00:35:03,560 Speaker 1: when something happens on television, yes, there might have been 604 00:35:03,560 --> 00:35:06,759 Speaker 1: ten or twenty million people watching it live, but there's 605 00:35:06,800 --> 00:35:09,319 Speaker 1: a huge number of people that want to know what 606 00:35:09,360 --> 00:35:12,480 Speaker 1: the story was, and you need to have the actual 607 00:35:12,719 --> 00:35:16,120 Speaker 1: video so they can see it and judge for themselves. 608 00:35:16,239 --> 00:35:19,399 Speaker 1: As opposed to having everybody try to describe it. So 609 00:35:19,440 --> 00:35:21,000 Speaker 1: we had a discussion and I said that, look, we're 610 00:35:21,040 --> 00:35:23,760 Speaker 1: not going to pull the video down. It's a newsworthy 611 00:35:23,840 --> 00:35:27,240 Speaker 1: event and we've had this issue before. Years ago, Kevin 612 00:35:27,280 --> 00:35:30,680 Speaker 1: ware Like broke his leg playing in the NCAA tournament 613 00:35:30,760 --> 00:35:35,080 Speaker 1: and the internet social media overwhelmingly decided you're an awful 614 00:35:35,160 --> 00:35:38,200 Speaker 1: human being if you share the video. Buck. My perspective 615 00:35:38,280 --> 00:35:41,600 Speaker 1: is we should let people see the primary sources so 616 00:35:41,640 --> 00:35:45,520 Speaker 1: they know what the news story is. Doesn't mean individual 617 00:35:45,800 --> 00:35:48,359 Speaker 1: things to happen. An individual can, of course make any 618 00:35:49,080 --> 00:35:51,359 Speaker 1: personal editorial judgment they wanted what they share and don't 619 00:35:51,360 --> 00:35:55,480 Speaker 1: share it. But if you're a news organization in some capacity, yes, 620 00:35:55,960 --> 00:35:58,239 Speaker 1: I think it's very clearly a case of m And 621 00:35:58,280 --> 00:36:00,719 Speaker 1: I'm sitting here, we're talking about this incident. I still 622 00:36:00,719 --> 00:36:04,399 Speaker 1: haven't seen it. Yeah, not because not because I thought 623 00:36:04,440 --> 00:36:06,239 Speaker 1: that it wouldn't be something I should see. So if 624 00:36:06,239 --> 00:36:08,560 Speaker 1: we're going to talk about it, because it's very hard 625 00:36:08,560 --> 00:36:10,320 Speaker 1: to find online, I'm gonna go to OutKick and go 626 00:36:10,400 --> 00:36:12,279 Speaker 1: check out and go check out the video so I 627 00:36:12,320 --> 00:36:15,040 Speaker 1: have that first person understanding to the degree that I 628 00:36:15,080 --> 00:36:17,879 Speaker 1: can of Yeah, this is the incident that is under 629 00:36:17,960 --> 00:36:22,640 Speaker 1: discussion right now because even if people believe very strongly 630 00:36:23,239 --> 00:36:26,280 Speaker 1: that it's it's it's clear, and I don't think anyone 631 00:36:26,280 --> 00:36:28,680 Speaker 1: said definitively what the health issue is here. There's a 632 00:36:28,680 --> 00:36:31,439 Speaker 1: lot of theories out there. Well, people should be able 633 00:36:31,480 --> 00:36:35,560 Speaker 1: to know what is involved. I think I should be 634 00:36:35,640 --> 00:36:38,480 Speaker 1: able to see primary sources. That's my opinion as as 635 00:36:38,560 --> 00:36:41,120 Speaker 1: as a person involved in news, and but it does 636 00:36:41,200 --> 00:36:43,680 Speaker 1: turn into this mob mentality where people say, oh, we 637 00:36:43,719 --> 00:36:46,360 Speaker 1: got to pull it down. Thankfully Fox News was showing 638 00:36:46,360 --> 00:36:48,560 Speaker 1: it this morning. They got around to it and said 639 00:36:48,600 --> 00:36:50,440 Speaker 1: this is news worthy too. But that's a debate that 640 00:36:50,480 --> 00:36:52,880 Speaker 1: we had internally, and certainly people don't have to agree. 641 00:36:53,040 --> 00:36:55,080 Speaker 1: But you and I are generally of the opinion that 642 00:36:55,120 --> 00:36:56,640 Speaker 1: if you're gonna have an opinion, you need to be 643 00:36:56,680 --> 00:36:58,680 Speaker 1: actually able to see the thing that you have the 644 00:36:58,680 --> 00:37:01,880 Speaker 1: opinion on it. And we're gonna have an opinion on 645 00:37:02,560 --> 00:37:06,240 Speaker 1: how the inauguration parties go here in Tallahassee for Governor 646 00:37:06,320 --> 00:37:08,400 Speaker 1: Ron De Santis tonight, because Clay is going to be 647 00:37:08,480 --> 00:37:11,000 Speaker 1: joining me in just a little bit, so he's gonna 648 00:37:11,040 --> 00:37:13,200 Speaker 1: be experiencing that firsthand. I will, too, will tell you 649 00:37:13,239 --> 00:37:18,040 Speaker 1: about how it is in De Santis Lands tomorrow, and 650 00:37:18,320 --> 00:37:25,640 Speaker 1: H continues Buck Who Knows play Travis and Buck sexon 651 00:37:26,360 --> 00:37:28,480 Speaker 1: on the front lines of truth.