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 --> 00:00:07,840 Speaker 1: Sexton Show podcast. Welcome on in Everybody, twenty twenty three, 3 00:00:08,600 --> 00:00:12,920 Speaker 1: Tuesday edition of The Clay Travis and Buck Sexton Show. 4 00:00:13,080 --> 00:00:16,360 Speaker 1: We have missed you, all of you across this great 5 00:00:16,440 --> 00:00:19,479 Speaker 1: land now for many days. Clay are both back with 6 00:00:19,560 --> 00:00:23,840 Speaker 1: you now from our respective vacations and we have a 7 00:00:23,880 --> 00:00:26,960 Speaker 1: ton to get to. We are looking forward to breaking 8 00:00:26,960 --> 00:00:28,479 Speaker 1: it all down for you today here on The Clay 9 00:00:28,480 --> 00:00:33,120 Speaker 1: Travis and Buck Sexton Show. We will dive into this 10 00:00:34,200 --> 00:00:39,160 Speaker 1: situation in Congress right now underway as we speak, getting 11 00:00:39,200 --> 00:00:43,960 Speaker 1: new sound bites and new updates. Will Kevin McCarthy be 12 00:00:44,080 --> 00:00:47,640 Speaker 1: the next Speaker of the House or will something else happen? 13 00:00:47,960 --> 00:00:51,000 Speaker 1: This is what is at the top of the political 14 00:00:51,000 --> 00:00:55,120 Speaker 1: agenda right now. We also a Clay is going to 15 00:00:55,160 --> 00:01:00,160 Speaker 1: break down what happened last night, a really gut ran 16 00:01:00,240 --> 00:01:05,800 Speaker 1: shank scene from Monday night football involving a player who 17 00:01:05,880 --> 00:01:10,880 Speaker 1: is still in critical condition and what's going on around that. 18 00:01:11,000 --> 00:01:12,759 Speaker 1: A lot of the discussions, obviously a lot of prayers 19 00:01:12,840 --> 00:01:16,080 Speaker 1: up for that individual and his family. We have the 20 00:01:16,280 --> 00:01:20,400 Speaker 1: promise later on at some point Clay not yet disclosed 21 00:01:20,520 --> 00:01:23,600 Speaker 1: of the Faucci Twitter files, which I know you and 22 00:01:23,640 --> 00:01:25,920 Speaker 1: I are excited about because there's a lot going on. 23 00:01:26,680 --> 00:01:31,920 Speaker 1: Despite Fauci stepping down from the eons, he spent as 24 00:01:31,959 --> 00:01:34,360 Speaker 1: the highest paid I like to remind everybody of this, 25 00:01:34,680 --> 00:01:39,360 Speaker 1: the highest paid federal government employee. There are millions of 26 00:01:39,440 --> 00:01:42,880 Speaker 1: employees of the federal government. Faucci was the most highly paid. 27 00:01:43,360 --> 00:01:46,399 Speaker 1: It's not because he was such an awesome guy who 28 00:01:46,480 --> 00:01:48,320 Speaker 1: was right so much of the time. We can be 29 00:01:48,480 --> 00:01:52,280 Speaker 1: certain about that one. But there are masks returning in 30 00:01:52,320 --> 00:01:55,120 Speaker 1: a lot of places. There's new information coming out about 31 00:01:55,120 --> 00:02:00,320 Speaker 1: the latest boosters, vaccines, etc. We will break that all 32 00:02:00,480 --> 00:02:04,480 Speaker 1: down for you, Clay. Let's let's jump into this one, 33 00:02:04,560 --> 00:02:08,000 Speaker 1: because this had been building for a while. We knew 34 00:02:08,040 --> 00:02:11,560 Speaker 1: this was going to happen. We had Kevin McCarthy on 35 00:02:11,680 --> 00:02:16,600 Speaker 1: the show before the Christmas, a New Year's holiday, or 36 00:02:16,639 --> 00:02:21,040 Speaker 1: the holiday season, and he was making the case pretty 37 00:02:21,040 --> 00:02:25,560 Speaker 1: clearly on this show. If not me, then whom which 38 00:02:25,600 --> 00:02:27,600 Speaker 1: I think that there are a few different layers, a 39 00:02:27,600 --> 00:02:30,160 Speaker 1: few different points to keep in minds here, right, there's 40 00:02:30,240 --> 00:02:34,760 Speaker 1: the what is the goal of this? There is in 41 00:02:34,800 --> 00:02:36,640 Speaker 1: my mind, at least you know, a little bit of 42 00:02:36,680 --> 00:02:38,959 Speaker 1: shoving a little bit of elbowing with a new Congress 43 00:02:39,000 --> 00:02:43,560 Speaker 1: after a disappointing midterm election cycle, and I'm sure you 44 00:02:43,560 --> 00:02:48,239 Speaker 1: saw there were there were breakdowns of exactly additional breakdowns 45 00:02:48,320 --> 00:02:52,040 Speaker 1: of why the polls were off the way that they 46 00:02:52,080 --> 00:02:54,959 Speaker 1: were and why everybody was expecting a different result looking 47 00:02:54,960 --> 00:02:57,160 Speaker 1: at the polls. But the conversation we can get into later. 48 00:02:58,040 --> 00:03:01,520 Speaker 1: And then there's the outside chance that this thing, I mean, 49 00:03:01,520 --> 00:03:04,880 Speaker 1: the one hundred and eighteenth Congress, with a number of 50 00:03:04,960 --> 00:03:10,280 Speaker 1: GOP holdouts, could for the first time since nineteen twenty three, 51 00:03:10,440 --> 00:03:15,000 Speaker 1: go into multiple ballots. Many times over this would only 52 00:03:15,040 --> 00:03:19,080 Speaker 1: have occurred I think a total of fourteen times in 53 00:03:19,120 --> 00:03:23,120 Speaker 1: our nation's history. Thirteen of those times happened before the 54 00:03:23,240 --> 00:03:27,400 Speaker 1: Civil War, so it's been a while. Play Are you 55 00:03:27,520 --> 00:03:31,400 Speaker 1: concerned at all that this could backfire? People are saying, 56 00:03:32,200 --> 00:03:34,160 Speaker 1: oh my gosh, what if we ended up with a 57 00:03:34,200 --> 00:03:37,280 Speaker 1: Democrat as Speaker of the House because of this in fighting? 58 00:03:37,480 --> 00:03:39,680 Speaker 1: Or is this good? You gotta throw some elbows, you 59 00:03:39,720 --> 00:03:42,840 Speaker 1: gotta get the locker room a little bit there on 60 00:03:42,880 --> 00:03:47,600 Speaker 1: their toes. This. I don't know the answer to whether 61 00:03:47,600 --> 00:03:51,640 Speaker 1: this is good or bad. It's messy, and I think 62 00:03:51,800 --> 00:03:54,920 Speaker 1: in general there's a belief that things that are messy 63 00:03:55,000 --> 00:04:00,360 Speaker 1: are bad, but sometimes that's not true, right, Sometimes a 64 00:04:00,400 --> 00:04:05,320 Speaker 1: fight is necessary in order to get things clarified. And 65 00:04:05,360 --> 00:04:10,760 Speaker 1: so what would be the absolute worst case scenario is 66 00:04:10,800 --> 00:04:16,640 Speaker 1: somehow Republicans so bungle this that Hakim Jeffreys, the Democrat 67 00:04:16,720 --> 00:04:21,279 Speaker 1: majority leader right now, ended up as the speaker. I 68 00:04:21,279 --> 00:04:26,920 Speaker 1: find the chances. I find it inconceivable that Republicans could 69 00:04:26,920 --> 00:04:29,440 Speaker 1: be so incompetent that they could blow their majority and 70 00:04:29,560 --> 00:04:33,640 Speaker 1: end up with a with a sort of some sort 71 00:04:33,680 --> 00:04:37,360 Speaker 1: of middle ground where you end up with Achim Jeffreys 72 00:04:37,480 --> 00:04:41,120 Speaker 1: as the speaker. So I don't foresee that being possible, 73 00:04:41,960 --> 00:04:46,279 Speaker 1: but I am concerned that the longer this continues, the 74 00:04:46,480 --> 00:04:50,279 Speaker 1: more of a mess it might end up being, and 75 00:04:50,760 --> 00:04:54,279 Speaker 1: if that were to occur, that it just makes the 76 00:04:54,320 --> 00:04:57,800 Speaker 1: Republican Party look even more incompetent. There's a lot of anger, 77 00:04:58,120 --> 00:05:00,880 Speaker 1: I think, out there over the twenty tw two midterms 78 00:05:01,279 --> 00:05:04,960 Speaker 1: and what exactly the message was and why we only 79 00:05:05,000 --> 00:05:07,159 Speaker 1: won the House and did not win the Senate, and 80 00:05:07,360 --> 00:05:12,279 Speaker 1: that I think is undergirding much of this discord that 81 00:05:12,400 --> 00:05:15,719 Speaker 1: right now exists in the House. I think that that's 82 00:05:16,160 --> 00:05:18,440 Speaker 1: that's why when people are asking me. They're saying, well, 83 00:05:18,480 --> 00:05:21,760 Speaker 1: what do you think of this? And it's isn't it 84 00:05:21,760 --> 00:05:24,479 Speaker 1: the the zen Master? Right? This is also a remember 85 00:05:24,480 --> 00:05:27,880 Speaker 1: in Charlie Wilson's War, you know that gets the horse 86 00:05:27,960 --> 00:05:30,160 Speaker 1: and you know then he breaks his leg and is 87 00:05:30,200 --> 00:05:32,800 Speaker 1: this a good thing? Oh? You know, we'll see, we'll see. 88 00:05:33,680 --> 00:05:36,880 Speaker 1: Is this sensible politics? Is this a good idea for 89 00:05:36,920 --> 00:05:42,080 Speaker 1: the GOP? Right now? If it puts speaker would be 90 00:05:42,160 --> 00:05:47,080 Speaker 1: Speaker McCarthy on. Notice that the Freedom Caucus has some 91 00:05:47,200 --> 00:05:51,680 Speaker 1: expectations that the machinery will change a little bit. I 92 00:05:51,760 --> 00:05:54,080 Speaker 1: think that could be useful down the line. I also 93 00:05:54,120 --> 00:05:56,640 Speaker 1: don't want to overpromise an under deliver here for any 94 00:05:56,680 --> 00:05:59,520 Speaker 1: of us with what can really happen. The Democrats have 95 00:05:59,640 --> 00:06:02,200 Speaker 1: the Senate, the Democrats have the presidency not changing for 96 00:06:02,279 --> 00:06:06,280 Speaker 1: two years. The best they can do is stand athwart 97 00:06:06,360 --> 00:06:10,440 Speaker 1: the craziness and speak to the American people about what 98 00:06:10,839 --> 00:06:13,160 Speaker 1: a positive agenda would look like. Right, well, Clay, well, 99 00:06:13,200 --> 00:06:15,240 Speaker 1: what are they gonna give everybody? What are they gonna 100 00:06:15,279 --> 00:06:19,280 Speaker 1: do if power is given back to them in twenty 101 00:06:19,400 --> 00:06:22,960 Speaker 1: twenty four? So obviously all roads now for the Republicans 102 00:06:23,080 --> 00:06:26,400 Speaker 1: lead to that decision. There are limitations. I know they're 103 00:06:26,400 --> 00:06:29,159 Speaker 1: gonna they're gonna do a lot of the investigations. Some 104 00:06:29,279 --> 00:06:31,960 Speaker 1: of it I think is important because it's ongoing issue. Right. 105 00:06:32,040 --> 00:06:35,640 Speaker 1: For example, the COVID vaccine issue, which we'll talk about 106 00:06:35,640 --> 00:06:40,880 Speaker 1: a lot today. Looking into that is important. It's important 107 00:06:40,920 --> 00:06:43,560 Speaker 1: because I don't even know what booster we're supposed to 108 00:06:43,600 --> 00:06:45,360 Speaker 1: be getting now if we're you know, I don't even 109 00:06:45,400 --> 00:06:47,320 Speaker 1: know buck We've talked about this kind of made jokes. 110 00:06:47,560 --> 00:06:51,960 Speaker 1: I never got a shot. So if I let's presume 111 00:06:52,040 --> 00:06:55,359 Speaker 1: that suddenly doctor Fauci took control of my mind like 112 00:06:55,480 --> 00:06:59,640 Speaker 1: Jedi style, would I be supposed to go get five shots? 113 00:07:00,040 --> 00:07:01,839 Speaker 1: But I have to spend the next six months like 114 00:07:02,000 --> 00:07:04,479 Speaker 1: spacing these shots out, or could I just jump straight 115 00:07:04,520 --> 00:07:07,680 Speaker 1: to the bi valent or whatever it is omnicron because 116 00:07:07,680 --> 00:07:09,880 Speaker 1: there's no reason to get an alpha, you know, shot 117 00:07:09,920 --> 00:07:13,560 Speaker 1: at all. Right, Fauci would tell you, Clay, you have 118 00:07:13,680 --> 00:07:20,560 Speaker 1: two arms, one for each series of three inoculations against COVID. 119 00:07:20,680 --> 00:07:23,040 Speaker 1: This is what no, I mean, it makes no sense. 120 00:07:23,480 --> 00:07:27,480 Speaker 1: None of this is adding up anymore, but it is remarkable. 121 00:07:27,560 --> 00:07:31,120 Speaker 1: I think they're the media is a little quieter about 122 00:07:31,360 --> 00:07:33,200 Speaker 1: Let's dive into some of that COVID stuff a little 123 00:07:33,240 --> 00:07:36,559 Speaker 1: bit later, because we've been shooting messages back and forth, 124 00:07:37,000 --> 00:07:40,600 Speaker 1: masks the Wall Street Journal mass making come back the 125 00:07:40,600 --> 00:07:44,040 Speaker 1: Wall Street Journal asking the question, is it possible that 126 00:07:44,080 --> 00:07:47,920 Speaker 1: there is a selection process being made naturally by the 127 00:07:48,000 --> 00:07:53,480 Speaker 1: virus in response to the the very rapid pace of 128 00:07:53,600 --> 00:07:57,040 Speaker 1: booster and vaccine than booster. I agree with you calling 129 00:07:57,040 --> 00:07:59,760 Speaker 1: this a vaccine is we don't call it a flu? 130 00:08:00,000 --> 00:08:02,680 Speaker 1: Actually that's it's ridiculous, and I do think the language 131 00:08:02,720 --> 00:08:05,240 Speaker 1: needs to change on that. But bring it up. Bring 132 00:08:05,320 --> 00:08:07,640 Speaker 1: us back to the McCarthy fight for a second, and 133 00:08:07,760 --> 00:08:12,760 Speaker 1: here is Lauren Bobert, who won a pretty stunning victory 134 00:08:12,800 --> 00:08:16,600 Speaker 1: given that she was counted counted out early on in 135 00:08:16,640 --> 00:08:20,480 Speaker 1: the vote counting process. Here is Lauren Bobert telling everybody 136 00:08:20,520 --> 00:08:23,360 Speaker 1: that she's not voting for McCarthy, and she's not the 137 00:08:23,400 --> 00:08:25,440 Speaker 1: only one, and this thing could go to a whole 138 00:08:25,480 --> 00:08:29,120 Speaker 1: bunch of votes. Play it. The deal was rejected and 139 00:08:29,240 --> 00:08:31,480 Speaker 1: as it stands, I will not be voting for Ken. 140 00:08:32,559 --> 00:08:35,000 Speaker 1: So she's not alone there, Clay. You know, Matt Gates 141 00:08:35,040 --> 00:08:38,080 Speaker 1: also coming out and saying that you don't drain the 142 00:08:38,120 --> 00:08:42,920 Speaker 1: swamp by filling the swamp. Something along those lines. Again, 143 00:08:42,960 --> 00:08:46,239 Speaker 1: I understand the anger, although let's keep in mind Republicans 144 00:08:46,240 --> 00:08:49,000 Speaker 1: did win the House, right, So let's not create a 145 00:08:49,080 --> 00:08:52,800 Speaker 1: situation where the one thing that really other. There's Florida, 146 00:08:52,880 --> 00:08:56,199 Speaker 1: there's the GOP House, and there's a handful of other 147 00:08:56,200 --> 00:08:58,720 Speaker 1: things that went right, and let's not give away the 148 00:08:58,760 --> 00:09:00,520 Speaker 1: things that went right because we didn't get all the 149 00:09:00,600 --> 00:09:03,240 Speaker 1: things we wanted. Yeah, and I think also it's important 150 00:09:03,240 --> 00:09:06,600 Speaker 1: to remember a lot of this is still negotiation. And 151 00:09:06,679 --> 00:09:10,360 Speaker 1: let's play cut one. Because Kevin McCarthy said, Hey, Matt 152 00:09:10,360 --> 00:09:13,240 Speaker 1: Gates said he'd be okay with a Keem Jeffreys, who 153 00:09:13,360 --> 00:09:18,480 Speaker 1: is the Democrat majority leader becoming speaker. Let's listen to that. 154 00:09:18,520 --> 00:09:21,400 Speaker 1: But let's also keep in mind that that is something 155 00:09:21,440 --> 00:09:24,440 Speaker 1: you say I think that you don't actually mean. Right. 156 00:09:24,520 --> 00:09:28,480 Speaker 1: I don't believe that Matt Gates legitimately believes that or 157 00:09:28,640 --> 00:09:31,280 Speaker 1: means that. I really don't. But let's listen to this 158 00:09:31,360 --> 00:09:34,080 Speaker 1: cut one. Last night, I was presented the only way 159 00:09:34,120 --> 00:09:36,880 Speaker 1: to have two hundred and eighteen votes if I provided 160 00:09:36,960 --> 00:09:40,200 Speaker 1: certain members with certain positions, certain gavels to take over 161 00:09:40,200 --> 00:09:42,840 Speaker 1: the Church Committee, to have certain budgets. And they even 162 00:09:42,920 --> 00:09:45,680 Speaker 1: came to the position where one Matt Gates said, I 163 00:09:45,679 --> 00:09:47,760 Speaker 1: don't care if we go to polarity and we elect 164 00:09:47,760 --> 00:09:50,880 Speaker 1: Hakeem Jeffries and it hurts the new Frontline members not 165 00:09:50,960 --> 00:09:54,520 Speaker 1: to get reelected. Well, that's not about America. And I 166 00:09:54,559 --> 00:09:57,280 Speaker 1: will always fight to put the American people first, not 167 00:09:57,360 --> 00:10:00,360 Speaker 1: a few individuals that want something for themselves. We may 168 00:10:00,400 --> 00:10:02,840 Speaker 1: have a battle on the floor, but the battle is 169 00:10:02,840 --> 00:10:05,560 Speaker 1: for the conference and the country, and that's fine with me. 170 00:10:06,080 --> 00:10:08,680 Speaker 1: You know, Clay that they'd be in a stronger position here, 171 00:10:08,800 --> 00:10:11,040 Speaker 1: and you and I know and like some of the 172 00:10:11,360 --> 00:10:14,200 Speaker 1: members who are involved here, you know, like like them 173 00:10:14,240 --> 00:10:17,680 Speaker 1: on a personal level. Annapoline, a Luna new member from 174 00:10:18,440 --> 00:10:20,720 Speaker 1: from Florida who was one of the nine who signed 175 00:10:20,720 --> 00:10:23,040 Speaker 1: the letter saying, look, we're not just going forward with 176 00:10:23,120 --> 00:10:26,720 Speaker 1: McCarthy here. There's negotiation to be had, we know Lauren Bobert, 177 00:10:26,720 --> 00:10:30,400 Speaker 1: and there's there's obviously a handful of others, actually more 178 00:10:30,440 --> 00:10:32,520 Speaker 1: than a handful of others who have a problem with 179 00:10:32,600 --> 00:10:36,040 Speaker 1: McCarthy at this phase. Steve Scalise, for example, he would 180 00:10:36,040 --> 00:10:40,000 Speaker 1: be the alternative to McCarthy. Right, Are you getting a 181 00:10:40,040 --> 00:10:43,959 Speaker 1: different outcome really from Steve Scalise being the speaker of 182 00:10:43,960 --> 00:10:46,840 Speaker 1: the House than Kevin McCarthy. I think the answer is no. 183 00:10:47,720 --> 00:10:51,840 Speaker 1: And if you go then to Stefanic, she's certainly more liberal. 184 00:10:52,000 --> 00:10:54,920 Speaker 1: You know, she's more more Democrat leaning on a bunch 185 00:10:54,920 --> 00:10:59,360 Speaker 1: of issues than either McCarthy or a Scalise. So you know, 186 00:10:59,679 --> 00:11:01,920 Speaker 1: you got to have a plan, right if you're going 187 00:11:01,960 --> 00:11:04,439 Speaker 1: to charge the hill, so to speak. That kind of 188 00:11:04,480 --> 00:11:06,160 Speaker 1: makes sense in a number of ways here, but you 189 00:11:06,280 --> 00:11:07,960 Speaker 1: gotta have a plan. You don't want to just get 190 00:11:08,760 --> 00:11:11,839 Speaker 1: gonna get pushed right down. So I'm not really clear 191 00:11:11,920 --> 00:11:13,800 Speaker 1: on what they think they can accomplish other than the 192 00:11:13,840 --> 00:11:16,840 Speaker 1: messaging and maybe some concessions. But it looks like those 193 00:11:16,880 --> 00:11:20,240 Speaker 1: concessions from McCarthy just aren't He's not going to sign 194 00:11:20,280 --> 00:11:24,520 Speaker 1: on to anything that artificially constrains him as speaker, right, 195 00:11:24,559 --> 00:11:27,000 Speaker 1: that's just not going to happen. Yeah, And I think 196 00:11:27,040 --> 00:11:30,480 Speaker 1: that's where most people out there are sitting around. This 197 00:11:30,600 --> 00:11:34,240 Speaker 1: to me feels like feels like a lot of the 198 00:11:34,960 --> 00:11:37,920 Speaker 1: negotiations when you're like, hey, are we going to raise 199 00:11:37,960 --> 00:11:41,240 Speaker 1: the debt ceiling? Yeah, eventually the debt ceiling is gonna 200 00:11:41,240 --> 00:11:44,120 Speaker 1: get raised. Right. You might shut down the government for 201 00:11:44,360 --> 00:11:47,880 Speaker 1: a week or ten days maybe, but it's not like 202 00:11:47,960 --> 00:11:50,560 Speaker 1: it's not going to get resolved at some point. That's 203 00:11:50,600 --> 00:11:53,960 Speaker 1: where I come around on this, and I think your 204 00:11:54,000 --> 00:11:57,480 Speaker 1: point is well taken here. For the average person out 205 00:11:57,480 --> 00:12:01,600 Speaker 1: there listening to us, what is the practical difference between 206 00:12:02,160 --> 00:12:05,679 Speaker 1: Kevin McCarthy in the speaker's chair and between let's say 207 00:12:05,720 --> 00:12:08,440 Speaker 1: Steve Scalise in the speaker's chair. I know it matters 208 00:12:08,440 --> 00:12:11,240 Speaker 1: a great deal to those individuals, but in terms of 209 00:12:11,280 --> 00:12:14,600 Speaker 1: their practical ability to get things done, Buck, I don't. 210 00:12:14,720 --> 00:12:16,800 Speaker 1: I don't think it changes anything because we have to 211 00:12:16,840 --> 00:12:20,679 Speaker 1: keep in mind basically the House of Representatives exist now. 212 00:12:21,200 --> 00:12:26,520 Speaker 1: As as as just a roadblock a break, they they're 213 00:12:26,559 --> 00:12:29,560 Speaker 1: just the breaks on the crazy train. They don't get 214 00:12:29,600 --> 00:12:32,920 Speaker 1: to direct where the train goes, they don't get to 215 00:12:33,000 --> 00:12:36,320 Speaker 1: control where the train stops. They just get to be 216 00:12:36,520 --> 00:12:40,760 Speaker 1: a roadblock. And is there very much difference in McCarthy 217 00:12:40,840 --> 00:12:44,560 Speaker 1: as a roadblock or Scalise as a roadblock? Based on 218 00:12:44,640 --> 00:12:48,480 Speaker 1: what I have seen, the answer is no. Maybe we're 219 00:12:48,600 --> 00:12:50,880 Speaker 1: missing something. We've reached out to some of those nine 220 00:12:50,920 --> 00:12:54,000 Speaker 1: that are saying, hey, we're not going to vote for McCarthy. 221 00:12:54,080 --> 00:12:56,360 Speaker 1: They have an open forum to come on this program 222 00:12:56,360 --> 00:12:59,120 Speaker 1: and explain to us what we are missing. They are 223 00:12:59,120 --> 00:13:01,959 Speaker 1: in the middle of this battle right now, but right 224 00:13:02,000 --> 00:13:05,400 Speaker 1: now I don't see as being a tangibly massive difference 225 00:13:05,400 --> 00:13:08,280 Speaker 1: between the two. Haven't heard from any of you, are 226 00:13:08,400 --> 00:13:11,280 Speaker 1: friends all across the country. So eight hundred two two 227 00:13:11,320 --> 00:13:14,360 Speaker 1: two eight eight two. If you got some passionate thoughts 228 00:13:14,400 --> 00:13:18,960 Speaker 1: on this battle for the speaker's gavel kind of rhymed, 229 00:13:19,600 --> 00:13:22,080 Speaker 1: please do call us and we'll be talking to you 230 00:13:22,200 --> 00:13:24,720 Speaker 1: later on in this hour. A lot more coming up 231 00:13:24,760 --> 00:13:28,839 Speaker 1: here on COVID. And also Matt Matt Gates, we mentioned him. 232 00:13:28,840 --> 00:13:32,280 Speaker 1: He's got a sound bite out right now on Benghazi 233 00:13:32,559 --> 00:13:36,800 Speaker 1: and oversight, and oh my, these members of the House, 234 00:13:36,840 --> 00:13:38,959 Speaker 1: they're they're pushing, they're pushing each other a bit. It's 235 00:13:39,000 --> 00:13:40,880 Speaker 1: interest to watch us play out. But you know, if 236 00:13:40,920 --> 00:13:42,920 Speaker 1: one of your goals this year is to do business 237 00:13:43,000 --> 00:13:46,040 Speaker 1: with companies that share your values, you gotta hop on 238 00:13:46,080 --> 00:13:49,160 Speaker 1: the Pure Talk train. Pure Talk is my cell phone company, 239 00:13:49,200 --> 00:13:52,640 Speaker 1: and it is the antidote who woke wireless. They're proudly 240 00:13:52,720 --> 00:13:55,640 Speaker 1: veteran owned. 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If you're not completely 250 00:14:22,120 --> 00:14:24,160 Speaker 1: happy with Pure Talk service, you'll get your money back. 251 00:14:24,360 --> 00:14:27,080 Speaker 1: So grab your cell phone and dial these four digits 252 00:14:27,320 --> 00:14:31,400 Speaker 1: pound two five zero, say Clay and Buck, and you'll 253 00:14:31,440 --> 00:14:34,120 Speaker 1: be connected to the Pure Talk customer service team. Save 254 00:14:34,160 --> 00:14:37,160 Speaker 1: the additional fifty percent off your first month. Again, dial 255 00:14:37,200 --> 00:14:40,920 Speaker 1: pound two five zero and say Clay and Buck. Pure 256 00:14:40,920 --> 00:14:45,480 Speaker 1: Talk is simply smarter, wireless, speaking truth and having fun. 257 00:14:46,200 --> 00:14:57,440 Speaker 1: Clay Travis and Buck Sexton, thanks for hanging with us 258 00:14:57,440 --> 00:15:02,479 Speaker 1: from all across the nation. I'm here in Tallahassee, Florida 259 00:15:02,920 --> 00:15:07,440 Speaker 1: for the Governor Rhonda Santists inauguration. Claybe joining me here 260 00:15:07,600 --> 00:15:11,320 Speaker 1: later on today. It is a joyous day in Tallahassee 261 00:15:11,320 --> 00:15:15,680 Speaker 1: for those gathered because the governor has shown such great 262 00:15:15,760 --> 00:15:19,400 Speaker 1: results and great promise going forward. So we'll try to 263 00:15:19,400 --> 00:15:22,280 Speaker 1: share some video and photos and things later on today 264 00:15:22,320 --> 00:15:25,880 Speaker 1: with all of you as the events are happening here. 265 00:15:26,040 --> 00:15:31,920 Speaker 1: Florida obviously was a big, bright red spot in this 266 00:15:32,000 --> 00:15:34,800 Speaker 1: last election cycle, and it's one of the things that 267 00:15:35,200 --> 00:15:37,880 Speaker 1: those of us who believe in conservatism and freedom and 268 00:15:38,520 --> 00:15:41,360 Speaker 1: rule of law and the constitution can point to as 269 00:15:41,400 --> 00:15:45,680 Speaker 1: a big, a big win in an otherwise disappointing in 270 00:15:45,880 --> 00:15:49,360 Speaker 1: term election. But Clay and I were talking to you, Oh, 271 00:15:49,400 --> 00:15:54,920 Speaker 1: we will be getting into the latest on this Idaho, 272 00:15:55,720 --> 00:16:00,560 Speaker 1: this Idaho slaying of four college students by somebody who 273 00:16:00,600 --> 00:16:04,000 Speaker 1: allegedly by somebody who is currently in custody right now. 274 00:16:04,000 --> 00:16:07,040 Speaker 1: We have a forensics expert to join because that that 275 00:16:07,160 --> 00:16:09,000 Speaker 1: case round a lot of people, I mean, Clay and I. 276 00:16:09,080 --> 00:16:11,960 Speaker 1: We had we had people from Moscow, Idaho calling in 277 00:16:12,040 --> 00:16:15,240 Speaker 1: saying people were terrified, didn't want to go back to 278 00:16:15,320 --> 00:16:17,840 Speaker 1: school in the area, and you know, and you had 279 00:16:17,920 --> 00:16:22,360 Speaker 1: a clearly a psycho killer on the loose and perhaps 280 00:16:22,440 --> 00:16:26,240 Speaker 1: now is in custody, allegedly in custody. Is certainly a 281 00:16:26,240 --> 00:16:28,920 Speaker 1: lot of things lining up. We'll get into that. But Clay, 282 00:16:28,960 --> 00:16:31,240 Speaker 1: you know, there are these these headlines just in the 283 00:16:31,280 --> 00:16:35,560 Speaker 1: last twenty four hours. Back on the COVID front for 284 00:16:35,600 --> 00:16:41,480 Speaker 1: a moment, Omicron offshoot XBB one point five could drive 285 00:16:41,600 --> 00:16:44,880 Speaker 1: new COVID nineteen surge in the US. That's CNN, sky 286 00:16:44,920 --> 00:16:48,240 Speaker 1: News new COVID variant could be the one to watch 287 00:16:48,320 --> 00:16:51,280 Speaker 1: out for in twenty twenty three after surgeon cases. That's 288 00:16:51,280 --> 00:16:57,720 Speaker 1: Sky News. There NBC News XBB one five subvariant, CDC 289 00:16:57,920 --> 00:17:00,960 Speaker 1: reports new omicron strain taking over. Now, there's a lot 290 00:17:01,440 --> 00:17:05,920 Speaker 1: to work through here. First of all, though the wokeness 291 00:17:05,920 --> 00:17:09,320 Speaker 1: in naming of virus this was inevitable. Some of us 292 00:17:09,359 --> 00:17:13,640 Speaker 1: said that this was coming. You know, people's minds work 293 00:17:13,640 --> 00:17:16,440 Speaker 1: in a certain way. When you give something a name, 294 00:17:17,640 --> 00:17:20,320 Speaker 1: it's pretty easy to remember, right, this is the virus 295 00:17:20,359 --> 00:17:22,600 Speaker 1: that is named for a region, or this is a 296 00:17:22,760 --> 00:17:25,800 Speaker 1: named for a condition that it produces, whatever it may be. 297 00:17:26,800 --> 00:17:28,639 Speaker 1: I think it's gonna be hard to keep track of 298 00:17:28,960 --> 00:17:34,919 Speaker 1: xp B point one point five point seven nine two 299 00:17:35,119 --> 00:17:37,600 Speaker 1: five er. I mean, this is getting crazy in and 300 00:17:37,600 --> 00:17:39,440 Speaker 1: of itself because we don't want to name it after 301 00:17:39,480 --> 00:17:42,240 Speaker 1: a place or a thing or an animal, right, because 302 00:17:42,280 --> 00:17:45,600 Speaker 1: that's always a problem. Oh, you're you're stigmatizing the virus 303 00:17:45,760 --> 00:17:50,560 Speaker 1: or the whatever that's one part of this. But Clay, 304 00:17:50,640 --> 00:17:54,960 Speaker 1: this Wall Street Journal editorial that came out over the weekend. 305 00:17:55,119 --> 00:17:56,920 Speaker 1: You know it's an editorial, it's not in the hard 306 00:17:56,960 --> 00:18:03,159 Speaker 1: news section. Our vaccines fueling COVID variants. The virus appears 307 00:18:03,200 --> 00:18:09,000 Speaker 1: to be evolving in ways that evade immunity. I just 308 00:18:09,000 --> 00:18:10,320 Speaker 1: want to start with this. We can get us on 309 00:18:10,359 --> 00:18:12,200 Speaker 1: the details here. You and I are both fascinated by 310 00:18:12,240 --> 00:18:16,480 Speaker 1: this piece. This was one of the things that in 311 00:18:16,520 --> 00:18:20,920 Speaker 1: the whole vaccine debate you would get the most furious 312 00:18:21,520 --> 00:18:25,880 Speaker 1: backlash and people We're particularly all of a sudden, even 313 00:18:25,880 --> 00:18:28,040 Speaker 1: people that were willing to say, well, I'm I'm not 314 00:18:28,119 --> 00:18:30,760 Speaker 1: so into mandates, they would they would allow you to 315 00:18:30,800 --> 00:18:34,320 Speaker 1: have that discussion because obviously the mandates were obscene and wrong. 316 00:18:34,480 --> 00:18:37,040 Speaker 1: But even people that were a little would waffle on 317 00:18:37,119 --> 00:18:40,199 Speaker 1: that one the moment you said, well, hold on, what 318 00:18:40,359 --> 00:18:47,560 Speaker 1: about the possibility of downside from the biggest mass inoculation 319 00:18:48,080 --> 00:18:53,280 Speaker 1: in the history of the planet with a experimental drug, right, 320 00:18:53,640 --> 00:18:57,200 Speaker 1: what about the downside for the virus or for its mutations, 321 00:18:57,320 --> 00:19:00,320 Speaker 1: or for the selection process. Clay, I think that was 322 00:19:00,359 --> 00:19:03,240 Speaker 1: one of the biggest third rails of this, And now 323 00:19:03,320 --> 00:19:06,800 Speaker 1: here we are a year later people are able to 324 00:19:06,800 --> 00:19:10,440 Speaker 1: talk about it again because of the data. Here's a 325 00:19:10,480 --> 00:19:13,000 Speaker 1: couple of paragraphs from this Wall Street Journal article that 326 00:19:13,080 --> 00:19:15,439 Speaker 1: I think is worth sharing, and i'd encourage you all. 327 00:19:15,480 --> 00:19:17,320 Speaker 1: I think you've shared it. I've shared it. You can 328 00:19:17,359 --> 00:19:19,119 Speaker 1: find it at buck Sex. Then you can find it 329 00:19:19,200 --> 00:19:22,680 Speaker 1: at Clay Travis if you want to read this full 330 00:19:22,920 --> 00:19:26,080 Speaker 1: editorial piece inside the Wall Street Journal yourself. But I'm 331 00:19:26,080 --> 00:19:28,639 Speaker 1: reading directly from it. A study this month in the 332 00:19:28,760 --> 00:19:33,000 Speaker 1: journal Cell found that antibody levels of people who'd received 333 00:19:33,040 --> 00:19:36,080 Speaker 1: four shots were one hundred and forty five times as 334 00:19:36,160 --> 00:19:40,640 Speaker 1: high against the original WU Hunt strain as the XBB variant. 335 00:19:41,119 --> 00:19:45,959 Speaker 1: A bi valant booster only slightly increased antibodies against this 336 00:19:46,040 --> 00:19:53,680 Speaker 1: new variant XBB. Experts nevertheless claim boosters improved protection against 337 00:19:53,720 --> 00:19:59,800 Speaker 1: this new variant XBB, directly quoting that's disinformation to you 338 00:20:00,440 --> 00:20:04,440 Speaker 1: their favored term. And again, there are studies out there 339 00:20:05,160 --> 00:20:10,680 Speaker 1: that suggests that the more COVID shots you get, the 340 00:20:10,760 --> 00:20:15,240 Speaker 1: more likely you are to actually get COVID. And this 341 00:20:15,400 --> 00:20:19,000 Speaker 1: is the worst case scenario, right because one thing to say, well, 342 00:20:19,160 --> 00:20:21,840 Speaker 1: if you get the COVID shot, you're a little bit protected, 343 00:20:22,119 --> 00:20:25,400 Speaker 1: or at least it won't have any negative impact on you. 344 00:20:25,880 --> 00:20:30,240 Speaker 1: There are now datas sets that are reflecting buck that 345 00:20:30,359 --> 00:20:32,639 Speaker 1: the more of these shots you got. In other words, 346 00:20:32,640 --> 00:20:35,720 Speaker 1: if you are the mask wearing you've gone out and 347 00:20:35,800 --> 00:20:39,920 Speaker 1: gotten five or six shots, far from making yourself safer, 348 00:20:40,280 --> 00:20:43,800 Speaker 1: you've actually made yourself more likely play COVID. Is it 349 00:20:43,880 --> 00:20:47,000 Speaker 1: a well fitting mask? That's always now the mark of 350 00:20:47,119 --> 00:20:51,119 Speaker 1: the of the holdout lunaticts, Well, it's a well fitting mask. 351 00:20:51,400 --> 00:20:54,320 Speaker 1: We went through single mask, ploth masks, double masks, and 352 00:20:54,480 --> 00:20:58,000 Speaker 1: ninety five masks. Now it's the well fitting mask. Is 353 00:20:58,600 --> 00:21:01,040 Speaker 1: the that's always the the tip off kind of like 354 00:21:01,080 --> 00:21:02,879 Speaker 1: the pronouns in the bio, right, you know you know 355 00:21:02,960 --> 00:21:04,720 Speaker 1: you're dealing with what they say, it's a well fitting 356 00:21:04,720 --> 00:21:07,119 Speaker 1: mass clay. You brought up worst case scenario, and I 357 00:21:07,160 --> 00:21:09,960 Speaker 1: want to be clear, this is worst case scenario that 358 00:21:10,000 --> 00:21:12,040 Speaker 1: we are we have not seen and do not have 359 00:21:12,080 --> 00:21:16,040 Speaker 1: the data for yet. This is not happening now, could 360 00:21:16,040 --> 00:21:18,520 Speaker 1: this happen in the future. We're talking worst case scenario. 361 00:21:19,160 --> 00:21:22,439 Speaker 1: You brought up that this makes it more likely. Some 362 00:21:22,480 --> 00:21:26,040 Speaker 1: of these studies are showing it is more likely you 363 00:21:26,119 --> 00:21:28,879 Speaker 1: will get COVID the more shots you've had. That is 364 00:21:28,880 --> 00:21:31,080 Speaker 1: what the data suggest. This is from the Wall Street Journal, 365 00:21:31,119 --> 00:21:32,680 Speaker 1: just to be clear out there for you know, media 366 00:21:32,760 --> 00:21:34,560 Speaker 1: matters and whoever's going to come after us, all them 367 00:21:34,640 --> 00:21:38,760 Speaker 1: for this. Okay, The really worst worst case scenario would 368 00:21:38,760 --> 00:21:41,240 Speaker 1: be something that we've mentioned before on the show for 369 00:21:41,520 --> 00:21:45,119 Speaker 1: which there is no real evidence now, which would be 370 00:21:45,119 --> 00:21:50,040 Speaker 1: antibody dependent enhancement of some kind where it's actually it 371 00:21:50,080 --> 00:21:53,760 Speaker 1: makes it easier for you to get an extreme infection afternoculation. 372 00:21:54,119 --> 00:21:57,520 Speaker 1: That does exist in some cases in nature that has 373 00:21:57,560 --> 00:22:02,000 Speaker 1: not happened here. But if you're still talking worst case scenario, 374 00:22:02,760 --> 00:22:06,920 Speaker 1: let me read from this Wall Street Journal editorial. Such 375 00:22:07,000 --> 00:22:11,359 Speaker 1: rapid and simultaneous emergence of multiple variants with enormous growth 376 00:22:11,400 --> 00:22:16,040 Speaker 1: advantages is unprecedented. According to a December nineteen study in 377 00:22:16,080 --> 00:22:19,560 Speaker 1: the journal Nature, as respected a journals will find anywhere 378 00:22:20,000 --> 00:22:24,840 Speaker 1: under selective evolutionary pressures, the virus appears to have developed 379 00:22:24,880 --> 00:22:29,000 Speaker 1: mutations that enable it to transmit more easily and escape 380 00:22:29,080 --> 00:22:33,800 Speaker 1: antibodies elicited by vaccines and prior infections. Okay, end quote. 381 00:22:34,119 --> 00:22:38,000 Speaker 1: Here's what is being raised as a possibility in the 382 00:22:38,000 --> 00:22:41,399 Speaker 1: Wall Street Journal on this editorial page linking to Nature, 383 00:22:41,880 --> 00:22:44,560 Speaker 1: which is as we said, this is like you know, 384 00:22:44,560 --> 00:22:48,119 Speaker 1: the Lancet, Nature Do England Journal of Medicine. These are 385 00:22:48,160 --> 00:22:52,080 Speaker 1: the ones that everybody, even not in the medical community, knows, Clay, 386 00:22:52,160 --> 00:22:55,520 Speaker 1: what you're talking about. More shots equals more likely to 387 00:22:55,560 --> 00:22:59,560 Speaker 1: get infected. That is a thesis right now, But it's 388 00:22:59,600 --> 00:23:04,840 Speaker 1: a these this for a substantially less dangerous version of COVID, 389 00:23:04,920 --> 00:23:07,960 Speaker 1: Which is why it's not even if that's true, it's 390 00:23:08,040 --> 00:23:10,400 Speaker 1: not a five alarm fire. It brings up a lot 391 00:23:10,400 --> 00:23:12,880 Speaker 1: of questions about the vaccines and the mandates and everything else, 392 00:23:12,920 --> 00:23:15,960 Speaker 1: to be sure, but it's not, Oh my god, what 393 00:23:16,000 --> 00:23:18,359 Speaker 1: are we going to do time because the virus has 394 00:23:18,520 --> 00:23:23,080 Speaker 1: become much less dangerous try not to say much less virulent, 395 00:23:23,160 --> 00:23:27,280 Speaker 1: much less dangerous overall compared to what it was. The problem, 396 00:23:27,480 --> 00:23:29,919 Speaker 1: going back to worst case scenario is if it is 397 00:23:29,960 --> 00:23:35,880 Speaker 1: evolving specifically in response at an accelerated rate to the vaccines, 398 00:23:36,680 --> 00:23:40,520 Speaker 1: if we stay on this vaccine vaccine, vaccine, booster, booster 399 00:23:40,560 --> 00:23:45,400 Speaker 1: booster schedule, you may be training in the future a 400 00:23:45,440 --> 00:23:49,199 Speaker 1: more dangerous version of the virus. Again, not saying we 401 00:23:49,240 --> 00:23:52,080 Speaker 1: are there, not saying that will happen, but that is 402 00:23:52,080 --> 00:23:55,879 Speaker 1: the worst case scenario that you can extrapolate from the 403 00:23:55,920 --> 00:24:00,520 Speaker 1: current data as a possibility and buck. The interest part 404 00:24:00,560 --> 00:24:03,640 Speaker 1: about what you are laying out is one of their 405 00:24:03,760 --> 00:24:07,080 Speaker 1: initial demands for why there had to be a mandate 406 00:24:07,800 --> 00:24:11,760 Speaker 1: was because the people who don't get the shot are 407 00:24:11,840 --> 00:24:15,600 Speaker 1: going to lead to the creation of new variants. Now 408 00:24:15,680 --> 00:24:18,400 Speaker 1: we might be looking at the exact opposite of that, 409 00:24:18,960 --> 00:24:23,480 Speaker 1: where the people who get the shots more are actually 410 00:24:23,520 --> 00:24:26,760 Speaker 1: accelerating the creation of more variants. And this is what 411 00:24:26,880 --> 00:24:29,200 Speaker 1: Barrenson Alex Berenson, who was on with us right before 412 00:24:29,280 --> 00:24:32,320 Speaker 1: Christmas wrote about him one of his most recent substacks, 413 00:24:32,320 --> 00:24:37,120 Speaker 1: which is Japan, which is one of the most vaccinated 414 00:24:37,200 --> 00:24:40,479 Speaker 1: countries in the world, and also buck, one of the 415 00:24:40,520 --> 00:24:44,080 Speaker 1: countries that has been most likely to wear those tightly 416 00:24:44,119 --> 00:24:49,640 Speaker 1: fitting masks throughout this entire process, is right now setting new, 417 00:24:49,960 --> 00:24:54,240 Speaker 1: nearly all time highs for COVID deaths. If the vaccines, 418 00:24:54,320 --> 00:24:55,920 Speaker 1: and I don't even think we can use the term 419 00:24:56,280 --> 00:24:58,000 Speaker 1: vaccine anymore. I think we should just call him the 420 00:24:58,000 --> 00:25:01,200 Speaker 1: COVID shot. If the COVID shot, it's worked in any 421 00:25:01,280 --> 00:25:04,680 Speaker 1: kind of significant way, what is occurring in Japan would 422 00:25:04,680 --> 00:25:07,760 Speaker 1: be impossible, right because if you have ninety eight percent 423 00:25:08,119 --> 00:25:12,760 Speaker 1: COVID shot uptake then, and you also have everybody wearing masks. 424 00:25:13,040 --> 00:25:16,240 Speaker 1: Then literally this is the fevered dream of the Fauciites 425 00:25:16,280 --> 00:25:19,560 Speaker 1: of the world. Everybody got the COVID shot, everybody wears 426 00:25:19,640 --> 00:25:22,760 Speaker 1: right the right kind of mask, and yet deaths are 427 00:25:23,200 --> 00:25:26,399 Speaker 1: still skyrocketing. And I would want to know, and I 428 00:25:26,440 --> 00:25:28,919 Speaker 1: wonder now if we can have exit because you know, 429 00:25:28,960 --> 00:25:30,560 Speaker 1: you and I we know, we know, we know, we 430 00:25:30,600 --> 00:25:32,840 Speaker 1: don't know, right, and we're just trying to think these 431 00:25:32,880 --> 00:25:35,240 Speaker 1: things through based on the data and based on being 432 00:25:35,280 --> 00:25:36,879 Speaker 1: two guys who spend a lot of time reading and 433 00:25:36,920 --> 00:25:40,199 Speaker 1: thinking about these issues. Maybe there will start to be 434 00:25:40,280 --> 00:25:42,840 Speaker 1: some experts who don't have you know, and I mean 435 00:25:42,880 --> 00:25:46,000 Speaker 1: true medical experts, who don't have five ukraine flags and 436 00:25:46,160 --> 00:25:50,359 Speaker 1: preferred pronouns and six little vaccine needles in their Twitter bio, 437 00:25:50,840 --> 00:25:53,320 Speaker 1: who will come forward and answer questions like if this 438 00:25:53,440 --> 00:25:56,840 Speaker 1: is true, and it certainly seems you know, you just 439 00:25:56,880 --> 00:25:59,240 Speaker 1: can you can do this intuitively, You can understand what 440 00:25:59,240 --> 00:26:01,879 Speaker 1: you just said about your pan what is their explanation, 441 00:26:02,000 --> 00:26:07,160 Speaker 1: explain to us in a way that everybody, because it's 442 00:26:07,440 --> 00:26:10,879 Speaker 1: public health policy, is actually about the public understanding. This 443 00:26:11,040 --> 00:26:14,240 Speaker 1: is one thing that was completely abandoned during COVID. If 444 00:26:14,280 --> 00:26:17,040 Speaker 1: you really want to deal with a pandemic, you not 445 00:26:17,040 --> 00:26:19,080 Speaker 1: only have to have good information, you have to have 446 00:26:19,119 --> 00:26:22,480 Speaker 1: good information that the public understands and will act on. 447 00:26:22,600 --> 00:26:26,800 Speaker 1: Instead of trying to repeatedly be wrong and force they 448 00:26:26,800 --> 00:26:29,760 Speaker 1: were wrong, they forced more they were wrong. They pushed 449 00:26:29,760 --> 00:26:33,880 Speaker 1: even harder. Because if what we're seeing is true that 450 00:26:34,000 --> 00:26:39,600 Speaker 1: the shots, the COVID shots in booster form rapidly administered 451 00:26:40,000 --> 00:26:42,000 Speaker 1: in a way that even outpaces what we see with 452 00:26:42,040 --> 00:26:44,480 Speaker 1: flu season right or with the flu shot. Now they're 453 00:26:44,480 --> 00:26:46,360 Speaker 1: trying to do these sort of shots that are multiple 454 00:26:46,400 --> 00:26:49,679 Speaker 1: things and whatever, if they're wrong footing immune system so 455 00:26:49,680 --> 00:26:52,120 Speaker 1: that you're more likely to get infected and also even 456 00:26:52,160 --> 00:26:56,360 Speaker 1: having a slightly less capable immune response. It might take 457 00:26:56,440 --> 00:26:59,000 Speaker 1: five years, it might take fifteen years. But if this 458 00:26:59,000 --> 00:27:03,000 Speaker 1: cycle continues on and we do get the dangerous variant 459 00:27:03,240 --> 00:27:05,400 Speaker 1: that they promised us could happen if we didn't get 460 00:27:05,480 --> 00:27:08,800 Speaker 1: enough shots, yep, that they always said was a possibility. Oh, 461 00:27:08,840 --> 00:27:11,040 Speaker 1: the super dangerous variant could come if you don't get 462 00:27:11,040 --> 00:27:14,159 Speaker 1: all the shots, Well are we setting ourselves up for? 463 00:27:14,320 --> 00:27:16,160 Speaker 1: And like I said, five or ten years from now 464 00:27:16,560 --> 00:27:19,640 Speaker 1: the variant comes along, that is more dangerous. Maybe it's 465 00:27:19,720 --> 00:27:22,080 Speaker 1: natural and that it's more dangerous, but we are less 466 00:27:22,119 --> 00:27:25,119 Speaker 1: capable of dealing with it, or rather those who got 467 00:27:25,680 --> 00:27:30,119 Speaker 1: booster number ten booster number fifteen. I would want someone 468 00:27:30,160 --> 00:27:34,720 Speaker 1: to explain this slowly and clearly, who has the background, 469 00:27:34,760 --> 00:27:36,760 Speaker 1: so that we can all understand, because what they've told 470 00:27:36,800 --> 00:27:38,359 Speaker 1: us about you know what we have we have a 471 00:27:38,520 --> 00:27:40,800 Speaker 1: let's come back just to we have a great montage 472 00:27:41,320 --> 00:27:44,120 Speaker 1: of what they have been saying about this for anybody's Look, well, 473 00:27:44,119 --> 00:27:46,960 Speaker 1: you guys don't know. The people who said they knew 474 00:27:47,320 --> 00:27:52,560 Speaker 1: they didn't know. Crap. That's important. What's also important here 475 00:27:52,920 --> 00:27:55,760 Speaker 1: is you know what people are actually doing buck they're 476 00:27:55,840 --> 00:27:59,000 Speaker 1: voting with their own decisions on the boosters because hardly 477 00:27:59,000 --> 00:28:01,840 Speaker 1: anybody's getting them now. So they may not admit it, 478 00:28:02,160 --> 00:28:04,320 Speaker 1: but I think the uptake on this bi valant is 479 00:28:04,359 --> 00:28:07,520 Speaker 1: only like twenty percent of the American populations actually getting it. 480 00:28:07,840 --> 00:28:11,879 Speaker 1: So we might get the benefit of everybody finally saying hey, 481 00:28:11,920 --> 00:28:14,680 Speaker 1: this is not working, let's just go ahead in a band. 482 00:28:14,720 --> 00:28:16,719 Speaker 1: They will bury you and I know this though, They 483 00:28:16,720 --> 00:28:19,960 Speaker 1: will bury and or slow roll that data. Because now 484 00:28:19,960 --> 00:28:22,400 Speaker 1: we have a control group eighty percent of the American 485 00:28:22,440 --> 00:28:27,040 Speaker 1: people and hopefully all of you listening right now are 486 00:28:27,200 --> 00:28:30,120 Speaker 1: certainly not getting your young children in these shots. Please, please, 487 00:28:30,160 --> 00:28:32,800 Speaker 1: please don't do that. It's a new year, and you 488 00:28:32,840 --> 00:28:37,439 Speaker 1: know what we need in this country more testosterone. We 489 00:28:37,520 --> 00:28:40,920 Speaker 1: need more men who are happy to be men, less 490 00:28:40,960 --> 00:28:45,400 Speaker 1: beta males like everybody we're seeing inside of the White House. 491 00:28:45,840 --> 00:28:47,720 Speaker 1: You know what, I can get a little bit more energy, 492 00:28:47,920 --> 00:28:51,280 Speaker 1: a little bit more vim vigor, vitality. How about getting 493 00:28:51,280 --> 00:28:54,280 Speaker 1: hooked up right now with Chalk. 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If 502 00:29:25,320 --> 00:29:28,120 Speaker 1: you use my name Clay, you get thirty five percent 503 00:29:28,240 --> 00:29:31,440 Speaker 1: off any Chalk subscription for the life of your subscription, 504 00:29:31,800 --> 00:29:34,400 Speaker 1: not a week, not a month, not even a year. 505 00:29:34,920 --> 00:29:40,240 Speaker 1: The life of your Chalk subscription cchoq dot com is 506 00:29:40,280 --> 00:29:42,960 Speaker 1: the website. Use my name in the purchase price, Clay 507 00:29:43,000 --> 00:29:46,520 Speaker 1: that choq dot com put some testosterone back in your 508 00:29:46,520 --> 00:29:49,080 Speaker 1: life and say thirty five percent in the process. At 509 00:29:49,160 --> 00:29:53,880 Speaker 1: cchoq dot com, they're here to shed light on the 510 00:29:53,920 --> 00:30:05,959 Speaker 1: truth every day. Clay Travis and Buck Sexton, welcome back 511 00:30:05,960 --> 00:30:09,120 Speaker 1: to play en Buck. We wanted to update you with 512 00:30:09,280 --> 00:30:14,040 Speaker 1: the latest on this case of the four college students 513 00:30:14,080 --> 00:30:19,320 Speaker 1: who were rerually murdered with a knife in Moscow, Idaho. 514 00:30:19,520 --> 00:30:23,240 Speaker 1: We know that there is an individual in custody. We 515 00:30:23,280 --> 00:30:25,680 Speaker 1: want to know how are they able to find them 516 00:30:25,760 --> 00:30:27,760 Speaker 1: to the best of our ability to figure this out 517 00:30:28,200 --> 00:30:31,760 Speaker 1: and what is the at this stage, the gravity of 518 00:30:31,800 --> 00:30:34,800 Speaker 1: the evidence against him, the totality of it against him. 519 00:30:35,000 --> 00:30:37,600 Speaker 1: Joseph Scott Morgan is with us now. He's a distinguished 520 00:30:37,640 --> 00:30:42,360 Speaker 1: scholar of applied for forensics and Joseph, appreciate you you 521 00:30:42,480 --> 00:30:44,080 Speaker 1: joining us once again. I know you've got a chance 522 00:30:44,080 --> 00:30:48,480 Speaker 1: to speak to Clay. Tell everybody where this stands right now? 523 00:30:48,600 --> 00:30:50,560 Speaker 1: I mean, what, how are they able to track this 524 00:30:50,640 --> 00:30:53,600 Speaker 1: individual down based on the news reports, based on what 525 00:30:53,640 --> 00:30:57,680 Speaker 1: we've seen. Hetty Fellas, how are y'all happy New Year? 526 00:30:57,720 --> 00:31:01,240 Speaker 1: Thanks for having me back. Yeah, the reality is is 527 00:31:01,280 --> 00:31:03,840 Speaker 1: that they have some type of physical evidence at this 528 00:31:03,880 --> 00:31:06,640 Speaker 1: point in time that's going to be a biological tieback 529 00:31:07,960 --> 00:31:11,360 Speaker 1: on this subject. My understanding, at this point, there's been 530 00:31:11,400 --> 00:31:15,240 Speaker 1: a lot of back and forth relative to DNA evidents. 531 00:31:15,800 --> 00:31:19,800 Speaker 1: We don't know exactly how they how they acquired it. 532 00:31:20,320 --> 00:31:26,000 Speaker 1: We've heard that the scene was just saturated in blood, 533 00:31:26,240 --> 00:31:29,120 Speaker 1: so I think that that's kind of a starting point 534 00:31:29,160 --> 00:31:31,640 Speaker 1: for us. We don't know at this point, obviously, if 535 00:31:31,680 --> 00:31:35,280 Speaker 1: he was injured in this assault. Remember this is a 536 00:31:35,360 --> 00:31:40,360 Speaker 1: sharp edged weapon that this fellow was using, and many 537 00:31:40,400 --> 00:31:43,320 Speaker 1: times in my experience, at least you have these events 538 00:31:43,360 --> 00:31:46,160 Speaker 1: where subjects will cut themselves and you'll have this kind 539 00:31:46,200 --> 00:31:49,120 Speaker 1: of what's referred to as comeniling of blood. And if 540 00:31:49,160 --> 00:31:52,840 Speaker 1: that's the case, they would have had to have separated 541 00:31:52,920 --> 00:31:56,160 Speaker 1: out all of the DNA profiles. You know, obviously you've 542 00:31:56,200 --> 00:31:59,400 Speaker 1: got known profiles. You've got these poor victims, the four 543 00:31:59,440 --> 00:32:02,280 Speaker 1: young people that were killed, you know them, there were 544 00:32:02,280 --> 00:32:04,040 Speaker 1: the two down in the basement. I'm sure that they 545 00:32:04,080 --> 00:32:07,960 Speaker 1: probably did cheek swabs and buckle mucosa swabs on them. 546 00:32:08,120 --> 00:32:12,200 Speaker 1: They'd be eliminated any of their intimate partners, and then 547 00:32:13,760 --> 00:32:16,920 Speaker 1: you'll wind up with unknowns from within the house, and 548 00:32:16,920 --> 00:32:18,680 Speaker 1: it's at that point in time it gets a bit 549 00:32:18,720 --> 00:32:21,560 Speaker 1: more complicated. They have to try to suss that out 550 00:32:21,560 --> 00:32:25,120 Speaker 1: and try to understand who this unknown is and talk 551 00:32:25,160 --> 00:32:27,080 Speaker 1: around the campfire. At least at this point in time, 552 00:32:27,080 --> 00:32:29,480 Speaker 1: that we're kind of hearing is that they may have 553 00:32:29,720 --> 00:32:35,960 Speaker 1: used genetic genealogy here, which you know, they're looking for 554 00:32:36,000 --> 00:32:40,120 Speaker 1: common ancestors, essentially somebody that has submitted a DNA sample 555 00:32:40,160 --> 00:32:42,840 Speaker 1: to one of these companies to try to figure out 556 00:32:42,880 --> 00:32:44,960 Speaker 1: their past. To just kind of jump in, just to 557 00:32:44,960 --> 00:32:47,160 Speaker 1: make sure that I'm clear. So you're saying, then, Joseph, 558 00:32:47,240 --> 00:32:49,160 Speaker 1: it is possible. I know you're not saying this, but 559 00:32:49,280 --> 00:32:52,520 Speaker 1: you've heard that the break in this case may be 560 00:32:52,640 --> 00:32:56,720 Speaker 1: related to somebody doing ancestry dot com twenty three and me, etc. 561 00:32:57,160 --> 00:32:59,360 Speaker 1: And then able to track from that. Is that is 562 00:32:59,400 --> 00:33:02,560 Speaker 1: that the theory? Yeah? Yeah, I think that's that's the 563 00:33:02,680 --> 00:33:06,040 Speaker 1: drift right now. You know, there are those cases that 564 00:33:06,080 --> 00:33:08,480 Speaker 1: are out there because this guy is not the subject 565 00:33:08,480 --> 00:33:11,920 Speaker 1: they accused, that not in a database, he's not in COVID, 566 00:33:12,040 --> 00:33:13,680 Speaker 1: you know, he's not a prior to sex offender or 567 00:33:13,720 --> 00:33:17,239 Speaker 1: anything like that, so he didn't have a profile, you know, 568 00:33:17,960 --> 00:33:22,280 Speaker 1: on board, So you start with an unknown at this 569 00:33:22,320 --> 00:33:25,560 Speaker 1: point in time. You know, I thought, I think many 570 00:33:25,600 --> 00:33:27,400 Speaker 1: of us were thinking in my field at least, you know, 571 00:33:27,400 --> 00:33:29,480 Speaker 1: will kind of kick it around some of my colleagues 572 00:33:29,480 --> 00:33:31,480 Speaker 1: and you know, kind of thinking about this. Sometimes you'll 573 00:33:31,480 --> 00:33:33,920 Speaker 1: have these cases where you know, they'll put a team 574 00:33:33,960 --> 00:33:36,560 Speaker 1: on you and they're watching you. They suspect that you 575 00:33:36,680 --> 00:33:40,320 Speaker 1: might be this person. They have unknown DNA at the scene, 576 00:33:40,800 --> 00:33:43,240 Speaker 1: and then you leave a cup laying around or straw 577 00:33:43,680 --> 00:33:46,920 Speaker 1: or napped him, you know, and once you know, guys, 578 00:33:47,000 --> 00:33:48,840 Speaker 1: once you throw that away, you throw it in the trash, 579 00:33:48,920 --> 00:33:51,560 Speaker 1: it's no longer yours. They collect it and they run it. 580 00:33:51,600 --> 00:33:53,360 Speaker 1: But you know, it just seems like they were sitting 581 00:33:53,360 --> 00:33:57,400 Speaker 1: on top of this and they'd probably known for a while, 582 00:33:57,640 --> 00:34:01,120 Speaker 1: I would imagine, but they had a lot of this 583 00:34:01,320 --> 00:34:05,760 Speaker 1: biological materials, very great deals, so it took them a 584 00:34:05,760 --> 00:34:08,040 Speaker 1: bit of time to kind of work out the profiles 585 00:34:08,040 --> 00:34:11,200 Speaker 1: in this. But it would seem this, along with some 586 00:34:11,360 --> 00:34:14,799 Speaker 1: other some other forensic evidence, it's going to come to light. 587 00:34:14,880 --> 00:34:16,640 Speaker 1: I think we're going to hear about it in the 588 00:34:16,680 --> 00:34:19,879 Speaker 1: next couple of days. I think that's that's what they've 589 00:34:19,920 --> 00:34:23,040 Speaker 1: used to identify the scope. So first of all, thanks 590 00:34:23,040 --> 00:34:26,400 Speaker 1: for coming on again. We got great feedback, Joseph Scott Morgan. 591 00:34:27,719 --> 00:34:30,840 Speaker 1: When you see it appears that this guy, this suspect 592 00:34:31,560 --> 00:34:36,480 Speaker 1: was basically getting a PhD in forenics and therefore may 593 00:34:36,560 --> 00:34:41,000 Speaker 1: have been almost training to be a serial killer or 594 00:34:41,040 --> 00:34:45,640 Speaker 1: have been driven into a life of the potential crime 595 00:34:46,239 --> 00:34:49,680 Speaker 1: based on this attraction to a dark side in some way, 596 00:34:50,320 --> 00:34:53,680 Speaker 1: would that help to explain maybe the difficulties that have 597 00:34:53,800 --> 00:34:58,080 Speaker 1: initially ensued that this guy was basically aware of some 598 00:34:58,200 --> 00:35:01,640 Speaker 1: of the criminal procedures that we be undertaken. In other words, 599 00:35:01,880 --> 00:35:05,400 Speaker 1: for people like in your world of forensics, you probably 600 00:35:05,440 --> 00:35:08,000 Speaker 1: would be way better at committing a crime because you 601 00:35:08,040 --> 00:35:11,080 Speaker 1: know how people have gotten caught. Does it surprise you 602 00:35:11,200 --> 00:35:14,240 Speaker 1: that the guy would maybe be coming out of this 603 00:35:14,520 --> 00:35:17,640 Speaker 1: study and this field. As for people who don't know, 604 00:35:17,680 --> 00:35:22,560 Speaker 1: he's purportedly as suspect a Washington State grad student basically 605 00:35:22,600 --> 00:35:27,759 Speaker 1: getting a doctorate in criminology and forensics. Yeah, well yeah, 606 00:35:27,800 --> 00:35:30,840 Speaker 1: let me draw a fonline here because it's in criminology, 607 00:35:31,520 --> 00:35:35,239 Speaker 1: and you know, there's there's there's this idea that's kind 608 00:35:35,239 --> 00:35:37,560 Speaker 1: of floating around out there that the criminology people in 609 00:35:37,640 --> 00:35:40,200 Speaker 1: the forensics people are the same and we're not at all. 610 00:35:40,280 --> 00:35:43,080 Speaker 1: And you know, he's more of a behavior of that's 611 00:35:43,120 --> 00:35:44,840 Speaker 1: kind of what he was studying, okay when he was 612 00:35:44,880 --> 00:35:49,720 Speaker 1: at the sales. You know, yeah, he knows something about behavior. 613 00:35:49,800 --> 00:35:51,399 Speaker 1: But keep in mind, you know, in all of these 614 00:35:51,440 --> 00:35:59,200 Speaker 1: academic institutions like this, they're a theoretical environment. Okay. In forensics, 615 00:35:59,480 --> 00:36:02,160 Speaker 1: we're in a applied environment. You know, even the university 616 00:36:02,120 --> 00:36:05,080 Speaker 1: out of work, we teach applied forensics, and that is 617 00:36:05,760 --> 00:36:08,440 Speaker 1: you know, you go from A to Z and a process, 618 00:36:08,520 --> 00:36:10,360 Speaker 1: a process and a scene. He does not have that 619 00:36:10,440 --> 00:36:13,959 Speaker 1: kind of background. Now he's he has a morbid curiosity, 620 00:36:14,000 --> 00:36:17,600 Speaker 1: I think, and criminal behavior of the criminal mind, all 621 00:36:17,600 --> 00:36:19,800 Speaker 1: these sorts of things. And I'm sure he's watched plenty 622 00:36:19,800 --> 00:36:24,000 Speaker 1: of television. He's probably fascinated by all of this and 623 00:36:23,280 --> 00:36:28,520 Speaker 1: how how bad guys minds kind of work. But he 624 00:36:28,600 --> 00:36:31,560 Speaker 1: does not know the nuts and bolts of forensic science. 625 00:36:31,880 --> 00:36:35,440 Speaker 1: And you know, if he went in prepared to do something, 626 00:36:36,200 --> 00:36:38,360 Speaker 1: if the subject went in, the accused went in to 627 00:36:38,480 --> 00:36:41,640 Speaker 1: do something, he's always going to miss something, trust me, 628 00:36:42,040 --> 00:36:45,160 Speaker 1: because again, there's so much physical evidence here and we 629 00:36:45,280 --> 00:36:48,920 Speaker 1: have ways and my field, my colleagues, is kind of 630 00:36:49,000 --> 00:36:52,520 Speaker 1: rooting out at a molecular level these things that are 631 00:36:52,560 --> 00:36:56,080 Speaker 1: specific tie backs to any individual that was in that environment. 632 00:36:56,600 --> 00:36:59,319 Speaker 1: Basically you told us, you said, sorry to cut you off, 633 00:36:59,320 --> 00:37:02,040 Speaker 1: but you were like, any time you do anything, you 634 00:37:02,200 --> 00:37:06,239 Speaker 1: leave a trace behind. That's kind of the bible of forensics, right, 635 00:37:06,280 --> 00:37:10,359 Speaker 1: so that even if you were a genius criminal, it's 636 00:37:10,400 --> 00:37:14,000 Speaker 1: impossible to have a quote unquote perfect crime scene, right 637 00:37:14,000 --> 00:37:19,520 Speaker 1: because there's always something that's being left behind. Is that accurate? Yes, yes, 638 00:37:19,719 --> 00:37:23,520 Speaker 1: it is there. You know there there is no perfect crime. 639 00:37:23,600 --> 00:37:26,520 Speaker 1: There's absolutely not, because there's always a human factor in it. 640 00:37:26,880 --> 00:37:30,600 Speaker 1: And it might be our own you know, self love, 641 00:37:31,440 --> 00:37:35,080 Speaker 1: our desire, our lack of focus that's going to trip 642 00:37:35,120 --> 00:37:39,439 Speaker 1: us up. Look, science will always Science will always catch 643 00:37:39,440 --> 00:37:42,200 Speaker 1: you in the end because it's an absolute. When you 644 00:37:42,239 --> 00:37:44,319 Speaker 1: begin to talk about numbers and all these it's not 645 00:37:44,360 --> 00:37:48,680 Speaker 1: a theoretical kind of construct. We're basing things on numbers. 646 00:37:48,760 --> 00:37:50,520 Speaker 1: Do they add up? And you know, when you start 647 00:37:50,560 --> 00:37:53,600 Speaker 1: to get out into the areas of DNA, you know 648 00:37:53,640 --> 00:37:56,480 Speaker 1: we're talking about one in a million, one one to 649 00:37:56,640 --> 00:38:00,920 Speaker 1: ten billion, you know, deepened upon kind of sample you 650 00:38:01,000 --> 00:38:04,239 Speaker 1: have how it's been run. This is not even it's 651 00:38:04,600 --> 00:38:07,680 Speaker 1: it's more accurate than even fingerprints, if you will. And 652 00:38:07,760 --> 00:38:09,719 Speaker 1: certainly back in the days when we were just using it, 653 00:38:09,719 --> 00:38:12,440 Speaker 1: relying on things like blood hyping, you know, the rarest 654 00:38:12,480 --> 00:38:14,560 Speaker 1: blood it's like an aby nag, I think, and that's 655 00:38:14,600 --> 00:38:17,440 Speaker 1: like one in two hundred and forty people. You know. 656 00:38:17,520 --> 00:38:21,080 Speaker 1: Now you're into the one and some odd billion. Okay, 657 00:38:21,360 --> 00:38:24,719 Speaker 1: So that kind of when you start going against those 658 00:38:24,840 --> 00:38:27,719 Speaker 1: numbers and you look at that and the ability of 659 00:38:27,760 --> 00:38:29,719 Speaker 1: the people that are working in the field, now it's 660 00:38:29,719 --> 00:38:33,239 Speaker 1: a tough mountain to clomb. Guys. Joseph Scott Morgan di Singuli, 661 00:38:33,320 --> 00:38:36,520 Speaker 1: Scholar of Applied Forensics. You can listen to his podcast 662 00:38:36,560 --> 00:38:41,000 Speaker 1: on iHeart the Body Bags Podcast. Joseph as this continuous 663 00:38:41,000 --> 00:38:42,600 Speaker 1: play at We'll have you back. Thanks for being with us, 664 00:38:43,640 --> 00:38:46,440 Speaker 1: please do guys. Happy New Year to everybody. Yes, sir, 665 00:38:46,440 --> 00:38:49,799 Speaker 1: are you too? My pillow was excited to announce the 666 00:38:49,840 --> 00:38:54,120 Speaker 1: original my slippers are back in stock. They've worked hard 667 00:38:54,160 --> 00:38:56,160 Speaker 1: to make this happen in time for the holidays, the 668 00:38:56,239 --> 00:38:59,960 Speaker 1: cold weather, and the reaction has been tremendous. You may 669 00:39:00,200 --> 00:39:03,400 Speaker 1: the slippers get this the number one selling my Pillow 670 00:39:03,400 --> 00:39:05,640 Speaker 1: product once before. 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Subscribe to CNB twenty four to seven 689 00:39:57,600 --> 00:39:59,839 Speaker 1: and it never miss a minute of Clay and Buck 690 00:40:00,040 --> 00:40:03,520 Speaker 1: while getting behind the scene access to special content for 691 00:40:03,640 --> 00:40:15,480 Speaker 1: members only. Welcome back in Place, Travis Buck Sexton Show. 692 00:40:16,200 --> 00:40:20,279 Speaker 1: As the drama continues surrounding who is going to be 693 00:40:20,360 --> 00:40:27,680 Speaker 1: the speaker, there are a we should mention this story 694 00:40:27,880 --> 00:40:33,879 Speaker 1: as well. Buck, I was watching Monday Night Football last night. 695 00:40:33,920 --> 00:40:36,239 Speaker 1: I presume that you were not, which I think is 696 00:40:36,280 --> 00:40:40,400 Speaker 1: a good bet. Generally speaking. The Bengals are playing against 697 00:40:40,440 --> 00:40:46,160 Speaker 1: the Bills and a player, twenty four year old safety 698 00:40:46,280 --> 00:40:52,320 Speaker 1: Damar Hamlin of the Buffalo Bills, collapsed after making a tackle. 699 00:40:52,960 --> 00:40:57,080 Speaker 1: He is right now in the critical care unit at 700 00:40:57,080 --> 00:41:01,880 Speaker 1: the University of Cincinnati Medical Center. I'm reading from Nicole Sapphire, 701 00:41:02,840 --> 00:41:06,440 Speaker 1: who says the Bills have given an update on Hamlin's condition. 702 00:41:06,960 --> 00:41:10,160 Speaker 1: Damar Hamlin spent last night in the intensive care unit, 703 00:41:10,280 --> 00:41:14,200 Speaker 1: remains there today in critical condition at the University of 704 00:41:14,239 --> 00:41:18,799 Speaker 1: Cincinnati Medical Center. Now news also just came down that 705 00:41:19,440 --> 00:41:25,600 Speaker 1: there is not going to be a resumption of this game. 706 00:41:25,960 --> 00:41:28,120 Speaker 1: They were about five minutes in. Some of you may 707 00:41:28,120 --> 00:41:31,960 Speaker 1: have seen I was on Fox News last night Live 708 00:41:32,160 --> 00:41:34,680 Speaker 1: for some time. I talked about it again this morning. 709 00:41:35,040 --> 00:41:41,800 Speaker 1: We've never seen anybody collapse like this on the football field. Buck, 710 00:41:41,960 --> 00:41:45,759 Speaker 1: it's turned into a major controversy. Let me say one positive, 711 00:41:46,200 --> 00:41:49,880 Speaker 1: which I think is really what I love about sports. 712 00:41:50,600 --> 00:41:57,880 Speaker 1: Buck Deamar Jamar Hamlin had a charity where he was 713 00:41:58,000 --> 00:42:02,120 Speaker 1: raising money for kids so they could get toys for 714 00:42:02,600 --> 00:42:07,200 Speaker 1: Christmas underprivileged kids in the Pittsburgh area. His initial goal 715 00:42:07,560 --> 00:42:11,280 Speaker 1: was to raise twenty five hundred dollars. Just think about 716 00:42:11,280 --> 00:42:14,759 Speaker 1: how great of a story this is the reaction so 717 00:42:14,840 --> 00:42:18,280 Speaker 1: many people out there when a story like this happens. 718 00:42:18,040 --> 00:42:20,720 Speaker 1: It's you know, when someone in your community is ill 719 00:42:21,320 --> 00:42:24,520 Speaker 1: or sick, or dies or one of the first things 720 00:42:24,560 --> 00:42:25,800 Speaker 1: a lot of people do is say, Hey, I'm just 721 00:42:25,840 --> 00:42:28,680 Speaker 1: gonna take a meal to the house. It's a small thing, 722 00:42:29,000 --> 00:42:32,600 Speaker 1: doesn't change the tragedy, but it's just showing that you care. 723 00:42:33,000 --> 00:42:37,480 Speaker 1: It's extending a hand of kindness. This is incredible. Twenty 724 00:42:37,480 --> 00:42:41,960 Speaker 1: five hundred dollars goal for these kids presents for this 725 00:42:42,080 --> 00:42:46,840 Speaker 1: charity from Tomar Hamlin. But they now have raised four 726 00:42:47,000 --> 00:42:52,160 Speaker 1: point two five million dollars for his charity for kids 727 00:42:52,160 --> 00:42:57,120 Speaker 1: to get Christmas presents. A hundred and fifty seven thousand 728 00:42:57,200 --> 00:43:00,680 Speaker 1: people have donated money. I am glad to be one 729 00:43:00,719 --> 00:43:04,239 Speaker 1: of them. If you are interested in donating yourself. I 730 00:43:04,360 --> 00:43:06,279 Speaker 1: shared this link. You can go find it on my 731 00:43:06,400 --> 00:43:09,920 Speaker 1: Twitter page. Just scrolled down a bit at Clay Travis 732 00:43:10,520 --> 00:43:15,920 Speaker 1: but buck this rapidly spiraled into a mess. We obviously 733 00:43:15,960 --> 00:43:18,800 Speaker 1: an OutKick cover this. This is a story without precedent. 734 00:43:19,400 --> 00:43:23,000 Speaker 1: Player goes into cardiac arrest on the field, basically had 735 00:43:23,040 --> 00:43:26,799 Speaker 1: to be resuscitated, is in critical condition right now. What 736 00:43:26,960 --> 00:43:30,880 Speaker 1: exactly caused this we don't know. There is a condition 737 00:43:30,960 --> 00:43:34,200 Speaker 1: that has happened before where if you happen to get 738 00:43:34,280 --> 00:43:38,080 Speaker 1: hit basically right in your heart, it's happened in the NHL, 739 00:43:39,280 --> 00:43:42,520 Speaker 1: then you can have your heart stop beating. And it 740 00:43:42,680 --> 00:43:45,480 Speaker 1: is very rare. Sometimes it happens with kids, they get 741 00:43:45,560 --> 00:43:49,680 Speaker 1: hit by a baseball, exceedingly rare. There will be certainly 742 00:43:50,000 --> 00:43:54,280 Speaker 1: an investigation into what happened here, but it rapidly turned 743 00:43:54,320 --> 00:43:57,200 Speaker 1: into a crazy mess, which is where it is right now. 744 00:43:57,520 --> 00:44:01,560 Speaker 1: What you were mentioning there is emotional chords, that's right. 745 00:44:01,760 --> 00:44:05,759 Speaker 1: That's what everyone on the medical side has been comfortable 746 00:44:05,920 --> 00:44:10,840 Speaker 1: raising at least as a possibility here. I understand. I 747 00:44:10,880 --> 00:44:15,960 Speaker 1: think everyone understands that really the first priority, the only priority, 748 00:44:16,120 --> 00:44:20,680 Speaker 1: is hoping for a quick recovery for Damar Hamlin. While 749 00:44:20,960 --> 00:44:25,120 Speaker 1: we still don't know where this goes. He's in his 750 00:44:25,239 --> 00:44:27,600 Speaker 1: vital signs are stable, I think as we speak right now, 751 00:44:27,600 --> 00:44:30,799 Speaker 1: but he's still in critical condition. So anytime somebody has 752 00:44:30,840 --> 00:44:33,480 Speaker 1: a cardiac incident like this, there's going to be There's 753 00:44:33,480 --> 00:44:34,800 Speaker 1: still a lot of tests they have to run, a 754 00:44:34,840 --> 00:44:36,520 Speaker 1: lot of things they have to look at to figure 755 00:44:36,560 --> 00:44:40,480 Speaker 1: out if there's any additional damage and where things stand 756 00:44:40,840 --> 00:44:45,080 Speaker 1: overall from a health standpoint, I think it is it 757 00:44:45,280 --> 00:44:50,880 Speaker 1: is indicative of this moment in the way people feel 758 00:44:50,880 --> 00:44:54,960 Speaker 1: though about health authorities and the health system, that it 759 00:44:55,000 --> 00:45:00,520 Speaker 1: immediately breaks down into acrimony. That there's already you know, 760 00:45:00,520 --> 00:45:04,760 Speaker 1: there are people saying, if you even raise the possibility 761 00:45:04,800 --> 00:45:08,880 Speaker 1: that this is related to vaccines, you should be booted 762 00:45:08,920 --> 00:45:10,960 Speaker 1: off of Twitter forever and Facebook, and you should be 763 00:45:11,000 --> 00:45:14,000 Speaker 1: fired from your job, and all of this. I understand 764 00:45:14,000 --> 00:45:15,759 Speaker 1: there are a lot of people who are very frustrated 765 00:45:15,760 --> 00:45:20,200 Speaker 1: out there by the fact that there's this desire in 766 00:45:20,239 --> 00:45:22,399 Speaker 1: the system to tell you what you can and can't 767 00:45:22,440 --> 00:45:26,240 Speaker 1: speak about, even after the system has been so demonstrably 768 00:45:26,680 --> 00:45:31,280 Speaker 1: and horrifically wrong for two years. The so called medical 769 00:45:31,320 --> 00:45:34,839 Speaker 1: consensus that is out there. And this is just something 770 00:45:34,840 --> 00:45:37,120 Speaker 1: that we've been warning about for a long time, which 771 00:45:37,200 --> 00:45:43,000 Speaker 1: is that when you have the abject politicization of COVID 772 00:45:43,080 --> 00:45:45,839 Speaker 1: that occurred, and this was pushed by Democrats, and this 773 00:45:45,920 --> 00:45:48,759 Speaker 1: is whether it's masks or vaccines or anything else, this 774 00:45:48,840 --> 00:45:51,440 Speaker 1: became an identity issue for the Laft and for the 775 00:45:51,440 --> 00:45:56,080 Speaker 1: Democrat Party in America. And when a majority, certainly of 776 00:45:56,960 --> 00:46:03,080 Speaker 1: outspoken medical professor ChEls and public health experts go along 777 00:46:03,080 --> 00:46:07,080 Speaker 1: with that politicization, there are consequences to public trust and 778 00:46:07,120 --> 00:46:10,880 Speaker 1: the public's willingness, at least among those who are independent thinkers, 779 00:46:11,120 --> 00:46:13,840 Speaker 1: to just sit down, shut up, and believe whatever you're told. 780 00:46:14,280 --> 00:46:16,680 Speaker 1: And I think this is along. This is going to 781 00:46:16,719 --> 00:46:19,440 Speaker 1: be a there's a long tale to this. This is 782 00:46:19,480 --> 00:46:22,319 Speaker 1: going to be something that continues to play out at 783 00:46:22,239 --> 00:46:25,600 Speaker 1: a number of ways. And so that this incident for 784 00:46:25,640 --> 00:46:28,919 Speaker 1: a lot of people, was one of these moments where 785 00:46:28,920 --> 00:46:33,080 Speaker 1: you saw this dynamic immediately play out. But I understand 786 00:46:33,120 --> 00:46:35,000 Speaker 1: for a lot of folks, it's just hold on a second. 787 00:46:35,480 --> 00:46:39,560 Speaker 1: Let's just focus on Jamar Hamlin getting healthy, getting getting 788 00:46:40,040 --> 00:46:44,400 Speaker 1: you know, a clean or getting basically the okay sign 789 00:46:44,480 --> 00:46:48,080 Speaker 1: from his doctors before it immediately turns into politics. But Clay, 790 00:46:48,160 --> 00:46:50,560 Speaker 1: we know that's not there's a mass shooting, it becomes 791 00:46:50,560 --> 00:46:54,040 Speaker 1: political right away. These incidents are going to be politicized 792 00:46:54,120 --> 00:46:56,560 Speaker 1: right away. I think social media can be both good 793 00:46:56,560 --> 00:47:00,400 Speaker 1: and bad in that context. And the positive, as I said, is, Hey, 794 00:47:00,440 --> 00:47:02,840 Speaker 1: how about the fact that one hundred and fifty some 795 00:47:02,920 --> 00:47:07,160 Speaker 1: odd thousand people strangers decided to donate four point two 796 00:47:07,239 --> 00:47:12,280 Speaker 1: million dollars to do basically what I think most humans 797 00:47:12,360 --> 00:47:16,080 Speaker 1: do in the face of tragedy. They think, hey, let's 798 00:47:16,120 --> 00:47:19,400 Speaker 1: try to make this better. There is simultaneously bucking we 799 00:47:19,440 --> 00:47:21,600 Speaker 1: see this, and I think you're right exactly about that. 800 00:47:22,400 --> 00:47:28,520 Speaker 1: Social media accelerates so that incident happens, and the Internet. 801 00:47:28,560 --> 00:47:31,880 Speaker 1: I've been arguing this for years. The Internet is basically 802 00:47:31,880 --> 00:47:35,640 Speaker 1: a big blame factory. Bad thing happens, doesn't matter what 803 00:47:35,680 --> 00:47:40,759 Speaker 1: it is. Bad thing happens, and immediately everybody has to 804 00:47:40,920 --> 00:47:45,200 Speaker 1: assess who is to blame for bad thing happening. Sometimes 805 00:47:45,200 --> 00:47:48,640 Speaker 1: bad things just happen, right like this on the field incident. 806 00:47:49,400 --> 00:47:52,399 Speaker 1: That's awful, but it's part of the game. We haven't 807 00:47:52,440 --> 00:47:56,120 Speaker 1: seen this necessarily, but bad thing happens, and then immediately 808 00:47:56,120 --> 00:47:58,959 Speaker 1: it's like, oh, the NFL didn't cancel the game quick 809 00:47:59,080 --> 00:48:02,680 Speaker 1: enough or skip Bayliss, who works at Fox Sports senate 810 00:48:02,800 --> 00:48:08,200 Speaker 1: tweet that wasn't appropriate given the scenario that we're under, 811 00:48:08,520 --> 00:48:11,560 Speaker 1: and so everybody needs to be angry at someone. Well, 812 00:48:11,719 --> 00:48:17,880 Speaker 1: there's there's always the internet mob. Oh yeah, first and 813 00:48:17,960 --> 00:48:21,000 Speaker 1: foremost refuses to give anyone any any grace or benefit 814 00:48:21,040 --> 00:48:24,719 Speaker 1: of the doubt because that doesn't serve their emotional needs 815 00:48:24,719 --> 00:48:26,880 Speaker 1: in the moment. The emotional need in the moment. That 816 00:48:26,960 --> 00:48:29,360 Speaker 1: and not just on this issue, on any issue that 817 00:48:29,480 --> 00:48:32,520 Speaker 1: you see from the internet, mob is always to find, 818 00:48:32,560 --> 00:48:36,640 Speaker 1: as you put it, the blame to disperse on anyone 819 00:48:36,800 --> 00:48:39,880 Speaker 1: at any point in time. So that's just the reality 820 00:48:39,960 --> 00:48:43,520 Speaker 1: of modern commentary and the sharing of information that we 821 00:48:43,560 --> 00:48:46,040 Speaker 1: all live with is a shame. I do think it's 822 00:48:46,080 --> 00:48:51,640 Speaker 1: important that we can look at people's desire to be kind, 823 00:48:51,800 --> 00:48:54,400 Speaker 1: be helpful, you know, put up thoughts and prayers for 824 00:48:54,480 --> 00:48:58,640 Speaker 1: Damar Hamlin and his family to do something good in 825 00:48:58,760 --> 00:49:01,640 Speaker 1: his name. And again he's hopefully going to make a 826 00:49:01,680 --> 00:49:03,680 Speaker 1: full recovery as well. Talk right here, it's it's I 827 00:49:03,680 --> 00:49:05,560 Speaker 1: think likely that he will. I don't know. I'm not 828 00:49:05,600 --> 00:49:07,640 Speaker 1: a doctor, but based on what we're reading in the 829 00:49:07,640 --> 00:49:11,160 Speaker 1: news reports, seems like he's going to be okay, which 830 00:49:11,160 --> 00:49:13,520 Speaker 1: would be the outcome that everybody wants. But see, that's 831 00:49:13,520 --> 00:49:15,480 Speaker 1: the thing that is the outcome that everybody wants here, 832 00:49:15,560 --> 00:49:20,160 Speaker 1: right that the assumption that because somebody wants to have 833 00:49:20,200 --> 00:49:22,279 Speaker 1: a discussion about hold on, are we being told the 834 00:49:22,320 --> 00:49:27,240 Speaker 1: whole truth about what happened here to Jamar Hamlin people. 835 00:49:27,600 --> 00:49:28,799 Speaker 1: There's a lot of it out there, a lot of 836 00:49:28,800 --> 00:49:32,200 Speaker 1: commentary that's not the same thing as somebody who does 837 00:49:32,239 --> 00:49:34,759 Speaker 1: not wish him and his family well. And I think 838 00:49:34,760 --> 00:49:36,759 Speaker 1: that's a jump that a lot of people immediately make, 839 00:49:36,840 --> 00:49:38,880 Speaker 1: as in, if you're on the wrong side of this 840 00:49:38,960 --> 00:49:44,240 Speaker 1: political discussion, you're essentially inhumane and don't care about because 841 00:49:44,320 --> 00:49:47,040 Speaker 1: we see we see this with Jamar Hamlin and his family. 842 00:49:47,239 --> 00:49:49,360 Speaker 1: We also see this, as I said, with mass shootings. 843 00:49:49,680 --> 00:49:51,920 Speaker 1: When you talk, if you start talking about a mass shooting, 844 00:49:51,920 --> 00:49:53,560 Speaker 1: what is one side of it? Always say right away 845 00:49:53,560 --> 00:49:56,399 Speaker 1: you don't care about you know, the people or even 846 00:49:56,440 --> 00:50:00,479 Speaker 1: the children who were killed in this. It's unfair with COVID, 847 00:50:00,600 --> 00:50:02,400 Speaker 1: like if you said, hey, I want kids to be 848 00:50:02,440 --> 00:50:05,040 Speaker 1: in school, you wanted grandma's to die? No, No, That's 849 00:50:05,040 --> 00:50:06,959 Speaker 1: why I always used to start up my show by saying, Hey, 850 00:50:07,160 --> 00:50:09,920 Speaker 1: I'm anti death. I wish we could all be immortal. 851 00:50:10,640 --> 00:50:12,759 Speaker 1: I don't want anybody's family members to ever. I don't 852 00:50:12,760 --> 00:50:15,520 Speaker 1: want to die. I'd like to live theoretically forever on earth. 853 00:50:15,560 --> 00:50:17,600 Speaker 1: I'd like to stay relatively young. There are lots of 854 00:50:17,600 --> 00:50:19,239 Speaker 1: things I would like to do that I can. But 855 00:50:19,440 --> 00:50:23,000 Speaker 1: this also turned into how dare you share the video 856 00:50:23,520 --> 00:50:25,759 Speaker 1: of the which we need to talk about. We can 857 00:50:26,040 --> 00:50:29,120 Speaker 1: still yes, I still haven't. So, yeah, I wasn't watching 858 00:50:29,120 --> 00:50:31,239 Speaker 1: Monday night football, which is, as you said, a fair bet. 859 00:50:31,480 --> 00:50:34,560 Speaker 1: I don't watch Monday night football. Yeah, and uh, I 860 00:50:34,600 --> 00:50:38,200 Speaker 1: still haven't seen the video of this. And I do 861 00:50:38,320 --> 00:50:41,279 Speaker 1: think that we have to understand in an era of 862 00:50:42,040 --> 00:50:46,879 Speaker 1: censorship based upon ideology, the idea that we could start 863 00:50:46,920 --> 00:50:50,960 Speaker 1: to remove things that are clearly news, yes, and that 864 00:50:51,080 --> 00:50:55,520 Speaker 1: are that are the actuality, the the evidentiary basis for 865 00:50:55,600 --> 00:51:00,000 Speaker 1: news from the public sphere because it's uncomfortable, because it's 866 00:51:00,320 --> 00:51:03,239 Speaker 1: you know, there's there's an onlook. I get it, they'll 867 00:51:03,280 --> 00:51:06,000 Speaker 1: blur if there's a horrible video that shows a shooting, 868 00:51:06,000 --> 00:51:08,160 Speaker 1: they'll do some blurring, and but they don't pull it 869 00:51:08,200 --> 00:51:10,840 Speaker 1: off the internet. And there seems to be. You know, 870 00:51:10,840 --> 00:51:15,840 Speaker 1: there's a difference between limiting I think, the graphic nature 871 00:51:15,920 --> 00:51:18,640 Speaker 1: of something and just saying no one is allowed to 872 00:51:18,680 --> 00:51:21,680 Speaker 1: see what happened here on full public display with tens 873 00:51:21,719 --> 00:51:24,160 Speaker 1: of millions of people watching in the first place, Which 874 00:51:24,200 --> 00:51:25,719 Speaker 1: is why when we come back, we'll talk about this, 875 00:51:25,760 --> 00:51:27,839 Speaker 1: because we had to make an editorial decision on this 876 00:51:27,880 --> 00:51:30,600 Speaker 1: buck at OutKick, you know, a company that I run, 877 00:51:31,040 --> 00:51:34,160 Speaker 1: and as soon as it happened, to our credit, our 878 00:51:34,280 --> 00:51:38,319 Speaker 1: OutKick team put up a video of the incident of 879 00:51:38,360 --> 00:51:41,759 Speaker 1: the collapse. Here's the hit, Here's what happened, because yes, 880 00:51:41,760 --> 00:51:43,760 Speaker 1: while there may have been tens of millions of people 881 00:51:43,800 --> 00:51:47,560 Speaker 1: watching this game, there were hundreds of millions who were 882 00:51:47,680 --> 00:51:50,080 Speaker 1: not and would care about what might happen. We'll come 883 00:51:50,120 --> 00:51:52,839 Speaker 1: back into this in a moment. And also I want 884 00:51:52,880 --> 00:51:55,080 Speaker 1: to note for everyone that I think we said at 885 00:51:55,080 --> 00:51:57,839 Speaker 1: the top of the show that there has been an 886 00:51:57,920 --> 00:52:02,680 Speaker 1: arrest made a few days ago of the quadruple murder 887 00:52:02,719 --> 00:52:05,600 Speaker 1: in Moscow, Idaho, that I know Clay spent a lot 888 00:52:05,600 --> 00:52:08,759 Speaker 1: of time with you on that story before the Christmas break, 889 00:52:08,840 --> 00:52:11,080 Speaker 1: and we had talked about it previously on this show. 890 00:52:11,360 --> 00:52:14,040 Speaker 1: We had Nancy Grace on to talk about it. We 891 00:52:14,080 --> 00:52:17,439 Speaker 1: will have that forensics expert back on in the third 892 00:52:17,440 --> 00:52:20,120 Speaker 1: hour to talk about what we believe or what he 893 00:52:20,160 --> 00:52:23,360 Speaker 1: believes led to this arrest and the strength of the 894 00:52:23,400 --> 00:52:28,440 Speaker 1: evidence against that individual. Because the whole country was anyone 895 00:52:28,480 --> 00:52:31,960 Speaker 1: paying attention to the news was certainly seeing and learning 896 00:52:32,000 --> 00:52:38,120 Speaker 1: about that horrific, horrific quadruple murder that occurred in a Moscow, Idaho. 897 00:52:38,160 --> 00:52:40,319 Speaker 1: So we'll come back in the third hour and we 898 00:52:40,360 --> 00:52:44,320 Speaker 1: will certainly have an updated discussion on that one. 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