1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of The Clay Travis and Buck 2 00:00:03,360 --> 00:00:08,840 Speaker 1: Sexton Show podcast. Welcome in everybody to the Clay Travis 3 00:00:08,840 --> 00:00:11,960 Speaker 1: and Buck Sexton Show's got a lot to get to 4 00:00:12,160 --> 00:00:14,440 Speaker 1: with you today. Thank you for being here. Always an 5 00:00:14,440 --> 00:00:16,800 Speaker 1: honor and a privilege to have time with you all 6 00:00:16,840 --> 00:00:18,960 Speaker 1: across the country. Clay and I have a lot to 7 00:00:18,960 --> 00:00:23,800 Speaker 1: discuss with you. We do have a breaking news item here. 8 00:00:24,120 --> 00:00:30,760 Speaker 1: Active shooter in Arlington, Texas, just outside of Dallas. Police 9 00:00:30,760 --> 00:00:33,159 Speaker 1: are on the scene. People have been taken to the hospital. 10 00:00:33,640 --> 00:00:36,519 Speaker 1: We do not have a lot of specifics on this 11 00:00:36,680 --> 00:00:40,720 Speaker 1: right now. There's video footage from the news networks rolling 12 00:00:40,720 --> 00:00:42,880 Speaker 1: on the outside of a high school. We don't have 13 00:00:43,479 --> 00:00:47,280 Speaker 1: any real data updates for you on what exactly is 14 00:00:47,320 --> 00:00:49,280 Speaker 1: going on there quite yet. We just know active shooter 15 00:00:50,120 --> 00:00:54,400 Speaker 1: in Arlington, Texas and there are police and all kinds 16 00:00:54,400 --> 00:00:56,680 Speaker 1: of ms on the scene. People have been taken the hospital, 17 00:00:56,720 --> 00:00:59,320 Speaker 1: so we know there are some casualties. As we have 18 00:00:59,520 --> 00:01:03,680 Speaker 1: updates on that, we will bring them to you. And 19 00:01:03,840 --> 00:01:09,360 Speaker 1: certainly we are all praying to We're all praying for 20 00:01:09,560 --> 00:01:16,000 Speaker 1: a swift end to the situation and the absolute minimum 21 00:01:16,240 --> 00:01:18,679 Speaker 1: of loss of life given we don't know all we 22 00:01:18,720 --> 00:01:20,000 Speaker 1: know is people have been hit. We don't know what 23 00:01:20,040 --> 00:01:23,800 Speaker 1: exactly has happened there. We also have other news stories 24 00:01:23,840 --> 00:01:27,759 Speaker 1: to get to CDC talking about the biggest murder increase 25 00:01:27,800 --> 00:01:31,960 Speaker 1: in one hundred years in this country starting in twenty twenty. Meanwhile, 26 00:01:32,000 --> 00:01:35,120 Speaker 1: we've got the FBI focused on what I think they're 27 00:01:35,120 --> 00:01:39,319 Speaker 1: going to start calling insurrectionist soccer moms. You have a 28 00:01:39,400 --> 00:01:43,920 Speaker 1: Washington State woman dying from the J and J vaccine confirmed. 29 00:01:44,560 --> 00:01:48,640 Speaker 1: She died because of a side effect, a rare blood 30 00:01:48,680 --> 00:01:51,559 Speaker 1: clot condition from Jay and Jay, a young, otherwise healthy 31 00:01:51,880 --> 00:01:58,480 Speaker 1: woman mother. You've got hospitals denying transplants to the unvaccinated 32 00:01:58,520 --> 00:02:02,880 Speaker 1: now in Colorado that's actually happening as well. And you've 33 00:02:02,920 --> 00:02:06,280 Speaker 1: also got a supply chain issue that's playing out in 34 00:02:06,360 --> 00:02:10,079 Speaker 1: China that's going to snarl the economies of the whole 35 00:02:10,080 --> 00:02:13,160 Speaker 1: world in the months ahead unless something really dramatic is 36 00:02:13,160 --> 00:02:15,200 Speaker 1: done to deal with this. But let's start with this, 37 00:02:15,320 --> 00:02:17,799 Speaker 1: and actually we can go. We can turn to our 38 00:02:17,840 --> 00:02:22,560 Speaker 1: friends at OutKick dot com for the CDC data. Here 39 00:02:23,960 --> 00:02:27,919 Speaker 1: there's a chief of Mortality Statistics branch that pulled this 40 00:02:28,040 --> 00:02:30,919 Speaker 1: together and this is what they told us. There were 41 00:02:31,120 --> 00:02:35,280 Speaker 1: twenty one thousand, seven hundred and fifty murders in twenty twenty, 42 00:02:35,800 --> 00:02:40,160 Speaker 1: as opposed to six thousand, fourteen I'm sorry, sixteen thousand, 43 00:02:40,160 --> 00:02:44,440 Speaker 1: four hundred and twenty five in twenty nineteen. This is 44 00:02:44,480 --> 00:02:48,200 Speaker 1: from the FBI Uniform Crime Report. CDC also looking at 45 00:02:48,200 --> 00:02:52,800 Speaker 1: the data, they find clay the highest ever in US 46 00:02:52,919 --> 00:02:55,480 Speaker 1: history since we really were keeping numbers since about nineteen 47 00:02:55,520 --> 00:02:59,600 Speaker 1: o four nineteen oh five period. And the only reason 48 00:02:59,639 --> 00:03:02,040 Speaker 1: you can point two it's want to I want to 49 00:03:02,040 --> 00:03:05,240 Speaker 1: say this. It is not only BLM as a movement 50 00:03:05,240 --> 00:03:08,000 Speaker 1: that undermined police. It is the progressive left and the 51 00:03:08,000 --> 00:03:12,600 Speaker 1: decision that they made to unlearn so much of what 52 00:03:12,680 --> 00:03:15,639 Speaker 1: the country went through in the seventies, the eighties, the nineties, 53 00:03:15,880 --> 00:03:19,639 Speaker 1: to deal effectively with the crime problem and bring violent 54 00:03:19,680 --> 00:03:23,799 Speaker 1: crime specifically and bring it down nationally and almost magically 55 00:03:23,840 --> 00:03:26,400 Speaker 1: in New York City. That's what we see. People need 56 00:03:26,400 --> 00:03:29,600 Speaker 1: to be held accountable for this. I agree. I think 57 00:03:29,639 --> 00:03:37,480 Speaker 1: there's plenty of blame to go around here. Activists, politicians, athletes, celebrities. 58 00:03:37,880 --> 00:03:41,040 Speaker 1: All of these people told you in the wake of 59 00:03:41,080 --> 00:03:45,520 Speaker 1: the George Floyd incident that police were evil, and I 60 00:03:45,600 --> 00:03:49,920 Speaker 1: keep hammering this home. They pulled cops off of television. 61 00:03:50,880 --> 00:03:54,200 Speaker 1: But there were some people saying that the paw patrol 62 00:03:54,920 --> 00:03:58,280 Speaker 1: for people out there who have kids, the paw patrol 63 00:03:59,440 --> 00:04:07,040 Speaker 1: police officer inspired puppy was offensive. They created a situation 64 00:04:07,400 --> 00:04:09,560 Speaker 1: which we knew was going to be the result, because 65 00:04:09,560 --> 00:04:12,200 Speaker 1: we already saw what happened in Ferguson in twenty sixteen 66 00:04:13,040 --> 00:04:17,440 Speaker 1: where police were demonized, where if you said anything positive 67 00:04:17,440 --> 00:04:21,360 Speaker 1: about the police, you were shouted down. And as a result, 68 00:04:22,000 --> 00:04:25,600 Speaker 1: there are over five thousand people who are likely dead 69 00:04:25,640 --> 00:04:29,040 Speaker 1: today that would not have been dead otherwise. And most 70 00:04:29,080 --> 00:04:33,680 Speaker 1: of those people are young minority men. Right, that's the 71 00:04:33,839 --> 00:04:38,359 Speaker 1: overwhelming number of the people who are killed as a 72 00:04:38,440 --> 00:04:40,680 Speaker 1: result of police not being able to do their jobs. 73 00:04:40,720 --> 00:04:45,400 Speaker 1: So the ironic an unfortunate aspect here is Black Lives 74 00:04:45,440 --> 00:04:49,279 Speaker 1: Matter and the protests that they unleashed all over this country. 75 00:04:49,279 --> 00:04:50,880 Speaker 1: And you can look at the data, the cities that 76 00:04:50,880 --> 00:04:53,760 Speaker 1: they were the most active in in terms of protesting 77 00:04:54,040 --> 00:04:56,719 Speaker 1: had the largest increases in murder. So I do think 78 00:04:56,720 --> 00:05:01,479 Speaker 1: it's connected to BLM Black Lives Matter to the largest 79 00:05:01,560 --> 00:05:06,080 Speaker 1: single increase in murders of mostly black men in the 80 00:05:06,120 --> 00:05:09,160 Speaker 1: history of our country. And the thing is buck almost 81 00:05:09,279 --> 00:05:11,320 Speaker 1: no one in media is going to cover this or 82 00:05:11,400 --> 00:05:14,720 Speaker 1: talk about it in a significant way. Our listeners are 83 00:05:14,800 --> 00:05:17,000 Speaker 1: hearing about it. I bet you don't see it hardly 84 00:05:17,040 --> 00:05:21,240 Speaker 1: talked about on CNN, on MSNBC, New York Times, Washington Post. 85 00:05:21,279 --> 00:05:23,440 Speaker 1: And if they do cover this in any kind of waid, 86 00:05:23,480 --> 00:05:25,719 Speaker 1: you know what, they'll blame it on the pandemic. Of course, 87 00:05:25,760 --> 00:05:28,240 Speaker 1: they'll say COVID cause this, even even though if you 88 00:05:28,360 --> 00:05:32,080 Speaker 1: look at the data, the period of the pandemic started 89 00:05:32,160 --> 00:05:35,599 Speaker 1: in what March February March of twenty twenty. The spike 90 00:05:35,640 --> 00:05:39,840 Speaker 1: in violence really got going in June of that year, 91 00:05:39,960 --> 00:05:42,320 Speaker 1: as the protest began as the proach, So we know 92 00:05:42,400 --> 00:05:44,160 Speaker 1: the protests played a huge role in it, but the 93 00:05:44,200 --> 00:05:48,120 Speaker 1: protests were really a symptom of a larger narrative. BLM 94 00:05:48,279 --> 00:05:51,960 Speaker 1: is in essence, what that narrative is when it's taken 95 00:05:51,960 --> 00:05:55,080 Speaker 1: to the streets and there's riots. Were mostly peaceful protests, 96 00:05:55,080 --> 00:05:57,320 Speaker 1: which means a protest with a riot attached to it. 97 00:05:57,360 --> 00:06:00,800 Speaker 1: That's what a mostly peaceful protest is by that definition. 98 00:06:00,800 --> 00:06:04,600 Speaker 1: As we've said, the January sixth was a mostly peaceful 99 00:06:04,640 --> 00:06:07,799 Speaker 1: protest comma that had a riot attached to it as well. 100 00:06:08,120 --> 00:06:10,680 Speaker 1: They obviously hate that formulation and never stop and think 101 00:06:10,720 --> 00:06:12,720 Speaker 1: we'll hold on a second. Maybe that's not the way 102 00:06:12,760 --> 00:06:15,560 Speaker 1: you should be reporting on night after night of destruction 103 00:06:15,800 --> 00:06:19,440 Speaker 1: in a memo cities across the country either and Clay, 104 00:06:19,760 --> 00:06:22,000 Speaker 1: it's beyond though, just the people that took to the 105 00:06:22,080 --> 00:06:25,200 Speaker 1: streets and the effect that that had, the so called 106 00:06:25,240 --> 00:06:28,680 Speaker 1: fergus in effect, which Heather McDonald, the researcher of the 107 00:06:28,720 --> 00:06:32,119 Speaker 1: Manhattan's Institute, coined as a phrase where you have police 108 00:06:32,160 --> 00:06:34,799 Speaker 1: who won't do their jobs as much. The whole Democrat 109 00:06:34,880 --> 00:06:39,680 Speaker 1: progressive system has embraced the lie that the primary challenge 110 00:06:39,720 --> 00:06:43,960 Speaker 1: of violence in America is racist cops against young black men. 111 00:06:44,080 --> 00:06:47,039 Speaker 1: That is the foundational lie of BLM. It is a 112 00:06:47,080 --> 00:06:51,039 Speaker 1: foundational lie that the Democrat Party embraces irrespective of the numbers, 113 00:06:51,040 --> 00:06:53,159 Speaker 1: because people find out, they say, wait, what was it? It 114 00:06:53,080 --> 00:06:56,440 Speaker 1: It was twelve in the most recent year, or fifteen 115 00:06:56,600 --> 00:07:00,560 Speaker 1: or unarmed armed, unarmed black men who were killed by enforcement. 116 00:07:00,600 --> 00:07:03,480 Speaker 1: And as we know, unarmed doesn't mean they aren't actually 117 00:07:03,480 --> 00:07:05,520 Speaker 1: a threat in that incidant. It depends on the specifics. 118 00:07:05,560 --> 00:07:07,640 Speaker 1: Was the person tackling a cop to the ground, punching 119 00:07:07,720 --> 00:07:10,560 Speaker 1: him in the face, reaching for his gun. But Clay, 120 00:07:10,600 --> 00:07:12,320 Speaker 1: there's this story you see this one out of Chicago 121 00:07:12,640 --> 00:07:17,120 Speaker 1: that I feel like this encapsulates the Woyer reality of crime. Here. 122 00:07:17,480 --> 00:07:21,280 Speaker 1: There was a gunfight in the Austin neighborhood of Chicago 123 00:07:21,920 --> 00:07:25,040 Speaker 1: just a few what was this just a few days ago? 124 00:07:25,720 --> 00:07:28,600 Speaker 1: And you had over seventy shell casings found. Two people 125 00:07:28,680 --> 00:07:34,160 Speaker 1: were shot, multiple assailants, multiple people broad daylight just they 126 00:07:34,160 --> 00:07:36,760 Speaker 1: said it was like a Wild West shootout. That wast 127 00:07:37,160 --> 00:07:39,360 Speaker 1: shells is a lot of That's a lot of by 128 00:07:39,360 --> 00:07:41,040 Speaker 1: the way, that's what they found. I mean, so it's 129 00:07:41,040 --> 00:07:45,880 Speaker 1: probably over a hundred rounds exchange, multiple shooters, the shooters 130 00:07:45,880 --> 00:07:47,840 Speaker 1: who were inside a house. Looks like a drive by 131 00:07:47,880 --> 00:07:49,520 Speaker 1: at a house. People came out of the house they 132 00:07:49,520 --> 00:07:52,800 Speaker 1: were shooting. Squat arrived. Police were there for part of 133 00:07:52,800 --> 00:07:56,800 Speaker 1: the shootout. Some of this was captured on video. People 134 00:07:56,920 --> 00:08:00,720 Speaker 1: were hit, how many people were arrested, didn't charge Does 135 00:08:00,760 --> 00:08:05,239 Speaker 1: anyone to guess from this obvious gang incident with multiple 136 00:08:05,280 --> 00:08:08,440 Speaker 1: people hit and shot and broad daylight and endangering everybody 137 00:08:08,440 --> 00:08:14,640 Speaker 1: in the neighborhood? Zero, folks, zero, Welcome to Democrat policing 138 00:08:14,960 --> 00:08:18,640 Speaker 1: in Chicago in America today, and this ties in Buck 139 00:08:18,680 --> 00:08:20,960 Speaker 1: We were talking about how the Democrats are gonna blame 140 00:08:21,040 --> 00:08:23,800 Speaker 1: COVID for why this murder rate has gone up because 141 00:08:23,840 --> 00:08:26,720 Speaker 1: they don't want to acknowledge that their defund the police 142 00:08:26,800 --> 00:08:29,320 Speaker 1: rhetoric they have blood on their hands, which is one 143 00:08:29,360 --> 00:08:33,720 Speaker 1: hundred percent the case. And honestly, if Republicans, I believe, 144 00:08:33,800 --> 00:08:37,680 Speaker 1: were being intelligent here, they would run even in twenty 145 00:08:37,760 --> 00:08:40,720 Speaker 1: twenty two on the chaos of defund the police and 146 00:08:40,840 --> 00:08:44,520 Speaker 1: what Democrats have caused. But buck your point on tying 147 00:08:44,520 --> 00:08:46,880 Speaker 1: this into Chicago. We talked about this. I believe it 148 00:08:46,920 --> 00:08:52,199 Speaker 1: was last week more kids have been shot in Chicago 149 00:08:52,800 --> 00:08:55,960 Speaker 1: then have died with COVID in twenty twenty one in 150 00:08:56,040 --> 00:08:58,160 Speaker 1: the whole year. That is a stagger. I mean, there 151 00:08:58,160 --> 00:09:00,280 Speaker 1: are a lot of people out there listening to us 152 00:09:00,360 --> 00:09:02,080 Speaker 1: right now start the show, and they just heard that 153 00:09:02,120 --> 00:09:05,120 Speaker 1: stat and they're like, that can't possibly be true. Over 154 00:09:05,320 --> 00:09:10,319 Speaker 1: three hundred kids have been shot in Chicago. That's more 155 00:09:10,360 --> 00:09:13,120 Speaker 1: than the number of kids that have died with COVID 156 00:09:13,120 --> 00:09:17,720 Speaker 1: in the entire country. That is an eye opening, unbelievable 157 00:09:18,160 --> 00:09:22,720 Speaker 1: are you kidding me? Stat? And it reflects again a 158 00:09:22,800 --> 00:09:28,000 Speaker 1: fundamental inability to assess danger, but also a complete and 159 00:09:28,040 --> 00:09:31,480 Speaker 1: total failure inside of the City of Chicago to protect 160 00:09:31,520 --> 00:09:34,880 Speaker 1: the most vulnerable people. Just so everyone knows, because I 161 00:09:35,280 --> 00:09:37,280 Speaker 1: wanted to close the loop on this story and a 162 00:09:37,280 --> 00:09:39,520 Speaker 1: hot tip of the Chicago Sun Times for the reporting 163 00:09:39,559 --> 00:09:41,840 Speaker 1: on it all the shooting in Chicago over the weekend. Clay, 164 00:09:42,320 --> 00:09:44,360 Speaker 1: I just saw this part at the bottom. I thought everybody, 165 00:09:44,480 --> 00:09:48,400 Speaker 1: I'd forgotten to mention this. The District Attorney's office that's 166 00:09:48,440 --> 00:09:51,280 Speaker 1: looking at this issue, and that brought no charges. People 167 00:09:51,360 --> 00:09:54,839 Speaker 1: shot shooting guns. I wonder how many of these handguns 168 00:09:54,840 --> 00:09:57,840 Speaker 1: do we think are legally registered in the city of Chicago. 169 00:09:57,920 --> 00:10:00,040 Speaker 1: Let's just start there for a second. Not that I 170 00:10:00,120 --> 00:10:01,560 Speaker 1: you should have the rest of your head, but that 171 00:10:01,640 --> 00:10:04,840 Speaker 1: is the law. How about, okay, and gang bangers are 172 00:10:04,920 --> 00:10:08,600 Speaker 1: usually the people you want to use illegal firearm laws against, 173 00:10:08,600 --> 00:10:11,520 Speaker 1: which is what we're talking about here, people who are 174 00:10:11,520 --> 00:10:16,120 Speaker 1: in gangs. And it was Kim Fox, she of Jesse 175 00:10:16,280 --> 00:10:20,280 Speaker 1: Smollett should not be charged fame And do you know 176 00:10:20,360 --> 00:10:23,240 Speaker 1: what the explanation was for why no one yet in 177 00:10:23,280 --> 00:10:26,840 Speaker 1: this large scale shootout in broad daylight? You know what? 178 00:10:26,960 --> 00:10:29,520 Speaker 1: You know what the justification was? Clay, I don't know, 179 00:10:29,600 --> 00:10:31,959 Speaker 1: but I'm thinking that maybe the answer is going to 180 00:10:32,040 --> 00:10:35,000 Speaker 1: be they're not sure whether somebody was self defense, like 181 00:10:35,040 --> 00:10:38,080 Speaker 1: whether a mutual combat. What can you do? You don't know, 182 00:10:38,320 --> 00:10:40,760 Speaker 1: we don't know who started it, so we can't charge anybody. 183 00:10:40,960 --> 00:10:43,439 Speaker 1: This is what they're saying. I mean, I'm not I'm 184 00:10:43,480 --> 00:10:46,080 Speaker 1: not stunned because of the stupidity that we already know 185 00:10:46,160 --> 00:10:50,760 Speaker 1: that prosecutor has. But that's I read the article and 186 00:10:50,800 --> 00:10:55,079 Speaker 1: I didn't read the analysis. But legally I was saying, 187 00:10:55,080 --> 00:10:57,600 Speaker 1: I bet that they're trying to figure out some people 188 00:10:57,640 --> 00:11:00,319 Speaker 1: are claiming self defense. I'm sure both sides are claiming 189 00:11:00,320 --> 00:11:02,520 Speaker 1: self defense, and they can't figure out who fired first. 190 00:11:02,600 --> 00:11:05,040 Speaker 1: So gang members in broad daylight, yes, can have a 191 00:11:05,160 --> 00:11:08,679 Speaker 1: straight artentially with illegal gun with I'm sure. I mean 192 00:11:08,840 --> 00:11:11,200 Speaker 1: I didn't even read that. I'm sure the guns were illegal. Okay, 193 00:11:11,280 --> 00:11:14,600 Speaker 1: Chicago is basically a gun free zone. It's about as strict. 194 00:11:14,640 --> 00:11:17,920 Speaker 1: It's highly unlikely that these worlds. I don't thank they 195 00:11:18,040 --> 00:11:21,960 Speaker 1: just finished their concealed carry courts. Maybe yes, maybe, but 196 00:11:22,000 --> 00:11:24,360 Speaker 1: there these are known gang members, So I'm just gonna 197 00:11:24,360 --> 00:11:27,920 Speaker 1: say that there's unlikely that they probably go through the 198 00:11:27,960 --> 00:11:31,440 Speaker 1: whole Yeah, yeah, no charges though they're not even going 199 00:11:31,440 --> 00:11:34,360 Speaker 1: to bring charges against these individuals. My friends, we all 200 00:11:34,400 --> 00:11:38,000 Speaker 1: see what's going on here. You have prosecutors in many 201 00:11:38,080 --> 00:11:43,120 Speaker 1: cases who are George Soros organization backed in Philadelphia, with 202 00:11:43,240 --> 00:11:47,920 Speaker 1: Krasner Boudin in San Francisco, now Kim Fox in Chicago 203 00:11:48,080 --> 00:11:51,760 Speaker 1: stepping in on this list here, who decide that criminals 204 00:11:51,960 --> 00:11:57,360 Speaker 1: should be treated gently. Yes, because society is really responsible 205 00:11:57,600 --> 00:12:00,240 Speaker 1: the individuals that are doing this stuff. We have a 206 00:12:00,360 --> 00:12:04,680 Speaker 1: carceral system, Clay, There's a need to address social justice here. 207 00:12:04,880 --> 00:12:07,400 Speaker 1: So what if bullets are flying through a neighborhood. We 208 00:12:07,440 --> 00:12:10,000 Speaker 1: need to get to root causes. People aren't paying their 209 00:12:10,040 --> 00:12:12,679 Speaker 1: fair share. And have you heard about what the climate 210 00:12:12,800 --> 00:12:15,920 Speaker 1: is doing recently? We have much bigger issues to handle. 211 00:12:16,200 --> 00:12:19,360 Speaker 1: That's what the Democrats actually think about this stuff. Well, 212 00:12:19,400 --> 00:12:25,000 Speaker 1: and being concerned with all of those things is a 213 00:12:25,120 --> 00:12:29,800 Speaker 1: luxury that a low crime rate provides, right being this 214 00:12:29,880 --> 00:12:32,000 Speaker 1: is just so cyclical, it's crazy. We need to talk 215 00:12:32,000 --> 00:12:33,880 Speaker 1: about this when we come back into the next segment 216 00:12:33,960 --> 00:12:38,640 Speaker 1: because it's so cyclical, right, you saw it. Eventually people 217 00:12:38,679 --> 00:12:41,360 Speaker 1: get fed up with the level of crime and they're 218 00:12:41,400 --> 00:12:46,040 Speaker 1: not concerned about all of the larger societal and justice 219 00:12:46,040 --> 00:12:48,080 Speaker 1: issues because they're like, I just want my kids to 220 00:12:48,080 --> 00:12:51,560 Speaker 1: be able to go walk down the street and be safe, 221 00:12:52,000 --> 00:12:56,199 Speaker 1: and all of these things are I think we're seeing 222 00:12:56,200 --> 00:12:58,880 Speaker 1: a spin back in the big direction of hey, maybe 223 00:12:58,920 --> 00:13:01,680 Speaker 1: we need to have as good guys. It's totally true. 224 00:13:01,800 --> 00:13:04,400 Speaker 1: I saw. I lived through this as a junior high 225 00:13:04,520 --> 00:13:06,880 Speaker 1: kid in New York City. We had over twenty two 226 00:13:07,000 --> 00:13:08,720 Speaker 1: hundred murders when I was in junior high in New 227 00:13:08,760 --> 00:13:11,720 Speaker 1: York City, and now this has an incredibly dangerous place. 228 00:13:11,960 --> 00:13:13,719 Speaker 1: There was a lot of bad stuff going on here. 229 00:13:13,720 --> 00:13:16,520 Speaker 1: So we can talk more about what but that mentality 230 00:13:16,559 --> 00:13:18,160 Speaker 1: did change in the city and that's what brought about 231 00:13:18,160 --> 00:13:21,560 Speaker 1: the Rugiuliani crime miracle. We'll come back into this. Plus, 232 00:13:22,360 --> 00:13:25,840 Speaker 1: we are watching very closely the active shooter situation in Texas. 233 00:13:26,200 --> 00:13:29,600 Speaker 1: It is still ongoing. They've set up a place where 234 00:13:29,640 --> 00:13:33,240 Speaker 1: parents are gathering for information on the scene. You have 235 00:13:33,480 --> 00:13:36,320 Speaker 1: law enforcement addressing the media right now. We've got our 236 00:13:36,320 --> 00:13:38,120 Speaker 1: team listening in to find out as much as we 237 00:13:38,160 --> 00:13:41,480 Speaker 1: can about this active shooter situation in Arlington, Texas. We 238 00:13:41,480 --> 00:13:44,319 Speaker 1: will bring you information on that when we come back. 239 00:13:45,000 --> 00:13:46,560 Speaker 1: One of the many things we talk about when it 240 00:13:46,600 --> 00:13:50,800 Speaker 1: comes to how you can protect yourself in these uncertain 241 00:13:50,920 --> 00:13:54,840 Speaker 1: financial times is gold, gold and precious metals are an 242 00:13:54,880 --> 00:13:59,079 Speaker 1: investment in your savings plan, your retirement plan. 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That's the Oxford 260 00:14:47,880 --> 00:14:50,400 Speaker 1: Gold Group at eight three three four zero four Gold 261 00:14:50,680 --> 00:14:53,480 Speaker 1: eight three three four zero four g O L d 262 00:14:57,880 --> 00:15:00,480 Speaker 1: welcome back in play Travis buck Sex and show. We 263 00:15:00,560 --> 00:15:06,000 Speaker 1: are tracking the story in Arlington shooter in a school 264 00:15:06,240 --> 00:15:09,440 Speaker 1: in Arlington. Will give you updates as that continues to 265 00:15:10,680 --> 00:15:13,880 Speaker 1: be and certainly as the data continues to come in. 266 00:15:13,880 --> 00:15:16,480 Speaker 1: We don't want to get anything wrong about the story 267 00:15:16,520 --> 00:15:19,680 Speaker 1: like this, and if you are in that area listening 268 00:15:19,680 --> 00:15:23,600 Speaker 1: to us, certainly we are wishing you and your family 269 00:15:23,800 --> 00:15:26,800 Speaker 1: the best. Fuck. I wanted to just kind of tee 270 00:15:26,880 --> 00:15:29,520 Speaker 1: you up because we were talking about the murder rate 271 00:15:30,160 --> 00:15:33,600 Speaker 1: skyrocketing the most and over one hundred years according to 272 00:15:33,640 --> 00:15:37,680 Speaker 1: the CDC, and you I was saying that this is 273 00:15:37,720 --> 00:15:41,880 Speaker 1: a luxury of sorts, in other words, being concerned about 274 00:15:42,120 --> 00:15:47,720 Speaker 1: whether police are following proper protocols, being concerned that you're 275 00:15:47,760 --> 00:15:51,680 Speaker 1: being too much of a hindrance to the criminal element, 276 00:15:51,800 --> 00:15:55,000 Speaker 1: ie they're having to go to jail too long, there's 277 00:15:55,080 --> 00:15:58,240 Speaker 1: being too hard on crime. The argument that you're being 278 00:15:58,280 --> 00:16:00,800 Speaker 1: too hard on crime is a jury of a low 279 00:16:00,800 --> 00:16:04,200 Speaker 1: crime rate and lots of people out there who remember 280 00:16:04,360 --> 00:16:06,960 Speaker 1: when we had high crime. And you are a good 281 00:16:07,000 --> 00:16:11,080 Speaker 1: example because New York City had a crime miracle, because 282 00:16:11,160 --> 00:16:14,200 Speaker 1: it used to be wildly unsafe in many parts of 283 00:16:14,200 --> 00:16:16,320 Speaker 1: New York City and then it basically turned They turned 284 00:16:16,320 --> 00:16:19,080 Speaker 1: time square in other places into like Disneyland. One thing that, 285 00:16:19,120 --> 00:16:21,440 Speaker 1: as someone who spent time in a number I lived, 286 00:16:21,560 --> 00:16:25,680 Speaker 1: DC is a pretty unsafe city overall, but there are 287 00:16:25,720 --> 00:16:28,960 Speaker 1: generally safe, much safer parts of it. The crime is 288 00:16:29,560 --> 00:16:31,840 Speaker 1: in certain areas. Same things true here in New York City. 289 00:16:31,840 --> 00:16:35,160 Speaker 1: Even today, a vast majority of the homicides occur, I 290 00:16:35,160 --> 00:16:38,160 Speaker 1: mean I know them really more by precinct than anything else, 291 00:16:38,200 --> 00:16:41,600 Speaker 1: but in a handful of precincts in the Bronx and Brooklyn, 292 00:16:41,840 --> 00:16:43,800 Speaker 1: and then the rest of New York City, Manhattan and 293 00:16:43,800 --> 00:16:46,720 Speaker 1: the rest of it is very low crime overall. But 294 00:16:46,840 --> 00:16:49,360 Speaker 1: what happened Clay is that it can reach a point 295 00:16:49,360 --> 00:16:54,000 Speaker 1: into city where every neighborhood actually feels unsafe, where the crime, 296 00:16:54,320 --> 00:16:57,320 Speaker 1: even if murders are concentrated in some areas, it spills 297 00:16:57,360 --> 00:17:00,640 Speaker 1: over and then everyone realizes. And that's when you start 298 00:17:00,720 --> 00:17:03,400 Speaker 1: to have a real change in perception about what needs 299 00:17:03,440 --> 00:17:04,920 Speaker 1: to be done. And that's what happened in New York 300 00:17:04,920 --> 00:17:07,480 Speaker 1: in the nineties, when I mean there was just it 301 00:17:07,520 --> 00:17:10,320 Speaker 1: wasn't just the shootings. I remember going, you know, walking 302 00:17:10,320 --> 00:17:13,520 Speaker 1: with friends of mine's parents and of course their car 303 00:17:13,760 --> 00:17:16,440 Speaker 1: had had the windows smashed and the radio stolen, or 304 00:17:16,520 --> 00:17:21,880 Speaker 1: coming home and seeing a vagrant relieving himself on the 305 00:17:21,920 --> 00:17:25,080 Speaker 1: front door where I lived. I mean, those things would happen, 306 00:17:25,160 --> 00:17:27,720 Speaker 1: and that was just life in the big city. Cracking 307 00:17:27,840 --> 00:17:31,840 Speaker 1: down on illegal behavior results in less illegal behavior. It's 308 00:17:31,880 --> 00:17:34,280 Speaker 1: amazing how that works. I remember as a kid growing 309 00:17:34,359 --> 00:17:36,240 Speaker 1: up in Nashville, there were some neighborhoods or you didn't 310 00:17:36,280 --> 00:17:38,960 Speaker 1: lock the doors of your car because the car windows 311 00:17:38,960 --> 00:17:41,080 Speaker 1: would get broken, and you were like, I'd rather just 312 00:17:41,119 --> 00:17:43,320 Speaker 1: not leave anything in the car and let somebody go 313 00:17:43,400 --> 00:17:45,120 Speaker 1: through it. Let me say this, buck, we're talking about 314 00:17:45,119 --> 00:17:49,560 Speaker 1: that Arlington shooting update. The Arlington Police Department has said 315 00:17:49,560 --> 00:17:53,200 Speaker 1: they are looking for a shooting suspect at timber View School. 316 00:17:53,520 --> 00:17:55,879 Speaker 1: Police call nine one one if you know the whereabouts 317 00:17:55,880 --> 00:18:00,680 Speaker 1: of eighteen year old Timothy George Simpkins maybe dry twenty 318 00:18:00,880 --> 00:18:05,920 Speaker 1: eighteen silver Dodge charger license plate PFY sixty two sixty 319 00:18:06,600 --> 00:18:09,560 Speaker 1: young black mail. According to this photo, that is who 320 00:18:09,560 --> 00:18:12,399 Speaker 1: they are looking for in regards to the shooting. In 321 00:18:12,440 --> 00:18:15,600 Speaker 1: the meantime, Legacy Box, we gotta tell you you want 322 00:18:15,640 --> 00:18:19,040 Speaker 1: to preserve the best moments of your family's life. And 323 00:18:19,119 --> 00:18:23,359 Speaker 1: make sure that old pictures, that old videos, that old slides, 324 00:18:23,840 --> 00:18:27,359 Speaker 1: all of it is digitized and preserve forever. What about 325 00:18:27,400 --> 00:18:30,640 Speaker 1: this holiday season? The perfect gift is to ensure your 326 00:18:30,680 --> 00:18:34,760 Speaker 1: family's moments are preserved forever. We did this in my family, 327 00:18:34,840 --> 00:18:36,800 Speaker 1: you should do it in yours. You can trust the 328 00:18:36,920 --> 00:18:40,600 Speaker 1: Legacy box. Go to legacybox dot com slash clay forty 329 00:18:40,640 --> 00:18:44,120 Speaker 1: percent off their normal price. Right now legacybox dot com 330 00:18:44,160 --> 00:18:47,160 Speaker 1: slash clay. You can take advantage of a limited time 331 00:18:47,200 --> 00:18:51,760 Speaker 1: offer for forty percent off to preserve your family's memories forever. 332 00:18:52,119 --> 00:18:56,280 Speaker 1: Use their kit legacybox dot com slash clay forty percent off. 333 00:18:56,400 --> 00:18:59,840 Speaker 1: Do it today. Preserve your family's memories at legacy box 334 00:18:59,840 --> 00:19:08,960 Speaker 1: dot com slash clay. Well, families should plan on enjoying 335 00:19:09,080 --> 00:19:13,480 Speaker 1: things in the family setting without a doubt, particularly among 336 00:19:13,560 --> 00:19:17,560 Speaker 1: vaccinated individuals. If you're vaccinated and members of your family 337 00:19:17,600 --> 00:19:20,679 Speaker 1: and you are within your household with people you know, 338 00:19:20,800 --> 00:19:23,360 Speaker 1: you want to try as best as you can. If 339 00:19:23,400 --> 00:19:27,320 Speaker 1: people are not vaccinated, not to mix with people who 340 00:19:27,440 --> 00:19:29,400 Speaker 1: you don't know what their status is. But for the 341 00:19:29,480 --> 00:19:35,119 Speaker 1: family core being together, enjoying Thanksgiving, enjoying Christmas. Of course, 342 00:19:35,200 --> 00:19:38,120 Speaker 1: you can do that one thing you can say, the 343 00:19:38,160 --> 00:19:41,080 Speaker 1: more people that get vaccinated, the more people that can 344 00:19:41,119 --> 00:19:45,080 Speaker 1: safely do that. Welcome back to the Clay and Buck show. 345 00:19:45,920 --> 00:19:48,240 Speaker 1: So Fauci is like, I don't even know what you're 346 00:19:48,280 --> 00:19:53,680 Speaker 1: talking about. It's amazing you can go totally totally normal. 347 00:19:54,280 --> 00:19:58,320 Speaker 1: And by normal Christmas, I mean make sure you check 348 00:19:58,400 --> 00:20:04,080 Speaker 1: the vaccination status of household members and your family gathers 349 00:20:04,119 --> 00:20:08,719 Speaker 1: together only in a tight No cousins, certainly when you 350 00:20:08,760 --> 00:20:14,080 Speaker 1: look at the case load. No second cousins, uncle and 351 00:20:14,119 --> 00:20:18,720 Speaker 1: Aunt Mardy coming over for holiday dinner, because otherwise they'll 352 00:20:18,760 --> 00:20:24,000 Speaker 1: be lonely. No. In fact, you must play allow only 353 00:20:24,080 --> 00:20:28,280 Speaker 1: the immediate family unit step children. I don't know we 354 00:20:28,880 --> 00:20:32,680 Speaker 1: are they vaccinated? Show me the vaccine card. This is 355 00:20:32,720 --> 00:20:35,920 Speaker 1: what America has devolved into. We have to listen to 356 00:20:35,960 --> 00:20:39,399 Speaker 1: this clown walk back. But as he's walking back, he 357 00:20:39,520 --> 00:20:42,360 Speaker 1: still can't help but be annoying and not fully walk 358 00:20:42,400 --> 00:20:46,119 Speaker 1: it back. I take it as a positive sign Buck 359 00:20:46,320 --> 00:20:50,159 Speaker 1: that somebody in the White House. I'm picturing them like 360 00:20:50,240 --> 00:20:53,160 Speaker 1: running down the hallway screaming when they saw that interview 361 00:20:53,320 --> 00:20:56,800 Speaker 1: on CBS, because Biden, we were looking. You shared some 362 00:20:56,880 --> 00:21:00,760 Speaker 1: polling data this morning of the issue es that Biden 363 00:21:00,760 --> 00:21:03,240 Speaker 1: and the Democratic Party are facing right now, and one 364 00:21:03,240 --> 00:21:07,159 Speaker 1: of the biggest issues is Biden's now underwater on COVID. 365 00:21:07,200 --> 00:21:09,239 Speaker 1: And for people out there not familiar maybe with use 366 00:21:09,240 --> 00:21:11,720 Speaker 1: of the term underwater, it means in a lot of 367 00:21:11,720 --> 00:21:15,720 Speaker 1: these polls, more people now say Joe Biden is doing 368 00:21:15,760 --> 00:21:18,959 Speaker 1: a poor job on COVID, then support him on COVID. 369 00:21:19,320 --> 00:21:22,040 Speaker 1: And I think that's because even though the media is 370 00:21:22,080 --> 00:21:25,120 Speaker 1: not covering it in the same way. I saw this 371 00:21:25,160 --> 00:21:28,080 Speaker 1: stat come out and it even kind of stunned me 372 00:21:28,160 --> 00:21:29,800 Speaker 1: Buck and I shared it with you during one of 373 00:21:29,800 --> 00:21:33,320 Speaker 1: the breaks. Joe Biden ran his entire campaign from his 374 00:21:33,359 --> 00:21:36,200 Speaker 1: basement on the fact that he would solve COVID, right, 375 00:21:36,240 --> 00:21:38,600 Speaker 1: that was his thing. Trump is blowing it. Trump doesn't 376 00:21:38,600 --> 00:21:41,400 Speaker 1: know what he's doing. I'm gonna listen to the science, 377 00:21:41,920 --> 00:21:46,640 Speaker 1: and Joe Biden said, I will end COVID. This is crazy. 378 00:21:46,880 --> 00:21:50,840 Speaker 1: I was actually surprised by this. More Americans have died 379 00:21:50,920 --> 00:21:56,000 Speaker 1: from COVID in twenty twenty one, then died in twenty 380 00:21:56,080 --> 00:21:59,800 Speaker 1: twenty So all those people who said, oh, Trump is 381 00:21:59,840 --> 00:22:03,080 Speaker 1: a disaster with COVID, He's been the worst leader of 382 00:22:03,119 --> 00:22:06,440 Speaker 1: all time, and they really basically the entire presidential campaign 383 00:22:06,600 --> 00:22:09,640 Speaker 1: ran on the idea that Trump was trying to kill 384 00:22:09,680 --> 00:22:14,600 Speaker 1: your grandma, that that Biden would solve it. That's kind 385 00:22:14,600 --> 00:22:17,199 Speaker 1: of a staggering statistic to me. Is it staggering to 386 00:22:17,200 --> 00:22:20,160 Speaker 1: you as well? That more people in twenty twenty one 387 00:22:20,240 --> 00:22:22,280 Speaker 1: so far, and we're obviously not finished with the year 388 00:22:22,359 --> 00:22:25,320 Speaker 1: yet have died from COVID in twenty twenty one than 389 00:22:25,359 --> 00:22:28,120 Speaker 1: in twenty twenty Well, I think yes, And well it 390 00:22:28,160 --> 00:22:30,280 Speaker 1: goes though to what we know. I mean, if you 391 00:22:31,240 --> 00:22:37,200 Speaker 1: look at the Spanish influenza pandemic of nineteen eighteen, there 392 00:22:37,400 --> 00:22:42,040 Speaker 1: was an initial wave that was pretty bad, but not 393 00:22:42,040 --> 00:22:46,120 Speaker 1: that bad. There was a second wave that was just devastating, 394 00:22:46,240 --> 00:22:51,240 Speaker 1: the horror movie devastating, killing people in a matter of hours. 395 00:22:51,280 --> 00:22:53,520 Speaker 1: I mean, there was a second wave that was all ages, 396 00:22:53,840 --> 00:22:57,400 Speaker 1: the stuff of well, particularly actually the young and healthy. Yes, 397 00:22:57,760 --> 00:23:00,359 Speaker 1: for whatever reason, terrifying. There were a lot. There was 398 00:23:00,400 --> 00:23:03,520 Speaker 1: a very high mortality rate among people aged twenty to forty. 399 00:23:04,119 --> 00:23:07,160 Speaker 1: And then the third wave was I believe, also bad, 400 00:23:07,200 --> 00:23:10,239 Speaker 1: but but a substantial drop down from what it had 401 00:23:10,280 --> 00:23:13,440 Speaker 1: been before. You know, we are going to be able 402 00:23:13,480 --> 00:23:16,600 Speaker 1: to do a kind of macro level analysis eventually, Eventually, 403 00:23:16,640 --> 00:23:19,400 Speaker 1: I think when the politics are a little they'll never 404 00:23:19,400 --> 00:23:21,200 Speaker 1: be fully removed for it. As we know, history is 405 00:23:21,240 --> 00:23:24,200 Speaker 1: still very political to this day in all in all respects. 406 00:23:24,800 --> 00:23:26,760 Speaker 1: But there will be a time I think we look 407 00:23:26,800 --> 00:23:30,040 Speaker 1: back and that phrase virus is going to virus yes, 408 00:23:30,119 --> 00:23:34,359 Speaker 1: becomes much more resonates, much more in people's minds. We 409 00:23:34,480 --> 00:23:36,680 Speaker 1: did all this stuff, you'd have to ask yourself, how 410 00:23:36,760 --> 00:23:40,320 Speaker 1: is it possible that with a mass vaccination campaign, because 411 00:23:40,320 --> 00:23:42,560 Speaker 1: we you know, I guess they would say, oh, we 412 00:23:42,600 --> 00:23:45,639 Speaker 1: had a whole winter cycle. Okay, but about half of 413 00:23:45,680 --> 00:23:49,359 Speaker 1: that winter cycle occurred when Trump was still president. In fact, 414 00:23:49,600 --> 00:23:51,720 Speaker 1: a little more than half of that winter cycle occurred 415 00:23:51,720 --> 00:23:54,720 Speaker 1: when Trump was still president. And now you're looking at 416 00:23:54,760 --> 00:23:58,080 Speaker 1: this year and you're saying more people died from COVID. 417 00:23:58,400 --> 00:24:01,440 Speaker 1: I guess, Clay, they will just blame this on the 418 00:24:01,480 --> 00:24:07,880 Speaker 1: delta variant being so much more easily transmissible. But at 419 00:24:07,880 --> 00:24:10,320 Speaker 1: the end of the day, they also had a vaccine. 420 00:24:10,359 --> 00:24:14,080 Speaker 1: They also had a huge amount of additional knowledge about 421 00:24:14,320 --> 00:24:16,800 Speaker 1: I mean, we had a million ventilators that we needed 422 00:24:16,800 --> 00:24:18,919 Speaker 1: back in March that we didn't actually need back in 423 00:24:18,960 --> 00:24:21,040 Speaker 1: March or twenty twenty, right, So when you look at 424 00:24:21,080 --> 00:24:24,479 Speaker 1: all the factors, how could anyone say that Joe Biden 425 00:24:24,560 --> 00:24:27,439 Speaker 1: has done a good job managing the pandemic as the 426 00:24:27,440 --> 00:24:30,520 Speaker 1: commander in chief and chief executive the United States government? 427 00:24:30,520 --> 00:24:33,000 Speaker 1: How can anyone really believe that it's impossible to make 428 00:24:33,040 --> 00:24:36,160 Speaker 1: that argument? And by the way, we're in early October. 429 00:24:36,760 --> 00:24:38,840 Speaker 1: So for people out there who say, well, Trump was 430 00:24:38,920 --> 00:24:42,080 Speaker 1: president until January twentieth, or whatever the day was, I 431 00:24:42,080 --> 00:24:45,480 Speaker 1: think it was January twenty, then he's responsible. However you 432 00:24:45,480 --> 00:24:46,800 Speaker 1: want to say, right, some people will say, well, you 433 00:24:46,840 --> 00:24:48,720 Speaker 1: got to take twenty of those days out of the 434 00:24:48,760 --> 00:24:52,240 Speaker 1: equation because Biden wasn't president, And then they'll argue Trump 435 00:24:52,280 --> 00:24:54,520 Speaker 1: did such a poor job that Biden had to clean 436 00:24:54,600 --> 00:24:58,280 Speaker 1: up his mess. But actually, if you look at the data, 437 00:24:58,440 --> 00:25:02,119 Speaker 1: the numbers were declining pretty substantially for COVID by the 438 00:25:02,160 --> 00:25:06,480 Speaker 1: time of the inauguration, and then went to almost nothing 439 00:25:06,600 --> 00:25:10,399 Speaker 1: right for several months, before surging again even in the 440 00:25:10,400 --> 00:25:14,119 Speaker 1: wake of the vaccinations, because I think one of the 441 00:25:14,160 --> 00:25:17,640 Speaker 1: places where Biden is the weakest, and there god knows 442 00:25:17,680 --> 00:25:20,520 Speaker 1: a lot of places where he's weak. But in early 443 00:25:20,600 --> 00:25:23,000 Speaker 1: May he was saying nobody needs to wear masks anymore. 444 00:25:23,080 --> 00:25:25,600 Speaker 1: This thing's over if you get vaccinated. And then he 445 00:25:25,640 --> 00:25:28,480 Speaker 1: had to walk back all of that, and I just 446 00:25:28,520 --> 00:25:31,720 Speaker 1: think it's an intriguing data point and to your analysis 447 00:25:32,000 --> 00:25:35,800 Speaker 1: of how history is very political. This will actually, I 448 00:25:35,840 --> 00:25:37,720 Speaker 1: think help in some ways because you'll say, hey, you 449 00:25:37,760 --> 00:25:40,679 Speaker 1: had a Republican president, you had a democratic president, and 450 00:25:40,760 --> 00:25:43,720 Speaker 1: what happened. The virus was going to virus. Almost everything 451 00:25:43,800 --> 00:25:46,560 Speaker 1: we did to try to combat it was totally worthless. 452 00:25:47,640 --> 00:25:50,400 Speaker 1: In the end. That's what they want to avoid at 453 00:25:50,400 --> 00:25:54,399 Speaker 1: all costs because they'll be political and power implications that 454 00:25:54,480 --> 00:25:57,280 Speaker 1: come from this. And I wanted to also follow up 455 00:25:57,320 --> 00:25:59,040 Speaker 1: and we could spend a little more time on this, Clay, 456 00:25:59,040 --> 00:26:01,040 Speaker 1: we'd come back. There's a couple of things that were 457 00:26:01,480 --> 00:26:03,959 Speaker 1: on my radar this morning as I was doing the 458 00:26:03,960 --> 00:26:06,160 Speaker 1: research that we do every day for this show, which 459 00:26:06,200 --> 00:26:07,960 Speaker 1: is late at night. You know, I hope that I 460 00:26:07,960 --> 00:26:09,960 Speaker 1: don't wake Clay up when it's like one o'clock in 461 00:26:09,960 --> 00:26:12,560 Speaker 1: the morning and you know, sending him random text and 462 00:26:12,600 --> 00:26:16,600 Speaker 1: producer Ali. But this morning I was looking through and 463 00:26:16,680 --> 00:26:20,800 Speaker 1: sure enough, that story that was suppressed by Twitter about 464 00:26:20,920 --> 00:26:24,119 Speaker 1: a woman, a young woman in Washington State who died 465 00:26:24,720 --> 00:26:27,320 Speaker 1: as a as a direct result of I mean, this 466 00:26:27,440 --> 00:26:30,960 Speaker 1: is what the actual state health authority is now admitting. 467 00:26:31,320 --> 00:26:33,520 Speaker 1: She got the J and J shot, did not want 468 00:26:33,560 --> 00:26:35,879 Speaker 1: to get the J and J shot. Died of a 469 00:26:36,880 --> 00:26:39,200 Speaker 1: of a blood clotting condition which we had heard about 470 00:26:39,240 --> 00:26:42,280 Speaker 1: for a while. That was a possibility, and initially social 471 00:26:42,280 --> 00:26:45,600 Speaker 1: media's first reaction is to say, you can't say that. 472 00:26:46,240 --> 00:26:49,000 Speaker 1: Can you imagine in a different context, if there was 473 00:26:49,040 --> 00:26:51,720 Speaker 1: a new wonder drug on the market, clay and It 474 00:26:51,800 --> 00:26:53,840 Speaker 1: and it you know, I don't know it cure diabetes 475 00:26:53,840 --> 00:26:56,879 Speaker 1: something that would be amazing. But someone took that drug 476 00:26:56,960 --> 00:26:59,240 Speaker 1: and died a day later as a direct consequence of 477 00:26:59,240 --> 00:27:01,720 Speaker 1: the drug. Do you think that anybody would be looked 478 00:27:01,720 --> 00:27:05,520 Speaker 1: down upon for telling that story. They'd be suppressed for 479 00:27:05,680 --> 00:27:10,320 Speaker 1: sharing that information. There's something very wrong in this country 480 00:27:10,400 --> 00:27:15,359 Speaker 1: right now. No, it's rotten. Big tech is rotten. We 481 00:27:15,400 --> 00:27:17,879 Speaker 1: need to talk about that story, and we got a 482 00:27:17,880 --> 00:27:20,359 Speaker 1: lot more stories to talk about as well. But in 483 00:27:20,359 --> 00:27:22,720 Speaker 1: the meantime, we got to tell you it's time for 484 00:27:22,800 --> 00:27:25,080 Speaker 1: us to save you some money. Whether you got Verizon 485 00:27:25,160 --> 00:27:27,240 Speaker 1: AT and T or T Mobile, you need to switch 486 00:27:27,240 --> 00:27:30,440 Speaker 1: to pure talk cellular today. A lot of you out 487 00:27:30,480 --> 00:27:33,520 Speaker 1: there are reaching out and saying you're saving fifty or 488 00:27:33,560 --> 00:27:37,080 Speaker 1: sixty dollars a month, and given what's going on with inflation, 489 00:27:37,200 --> 00:27:39,840 Speaker 1: and given what's going on with the Biden tax cuts, 490 00:27:39,960 --> 00:27:42,720 Speaker 1: your ability to save money matters in a big way 491 00:27:42,760 --> 00:27:45,399 Speaker 1: for you and your family especially. You could save up 492 00:27:45,400 --> 00:27:48,320 Speaker 1: to eight hundred dollars a year, and it's super easy. 493 00:27:48,680 --> 00:27:50,960 Speaker 1: Get to keep your same number, You get to keep 494 00:27:51,000 --> 00:27:54,439 Speaker 1: your same phone, and you get unlimited talk text and 495 00:27:54,600 --> 00:27:57,600 Speaker 1: six gigs of data on pure Talks five g network, 496 00:27:58,040 --> 00:28:01,960 Speaker 1: exact same network, exact same towers for just thirty dollars 497 00:28:01,960 --> 00:28:05,680 Speaker 1: a month. My eighth graders got his own pure Talk 498 00:28:05,760 --> 00:28:09,520 Speaker 1: wireless phone. He loves it, and Buck, you love your 499 00:28:09,520 --> 00:28:11,840 Speaker 1: phone as well. And so many of our listeners out 500 00:28:11,880 --> 00:28:14,200 Speaker 1: there making smart decision and saving a bundle for day 501 00:28:14,200 --> 00:28:17,680 Speaker 1: in their families. Pure Talk has a thirty day risk 502 00:28:17,800 --> 00:28:21,480 Speaker 1: free guarantee, so you literally have nothing to lose from 503 00:28:21,520 --> 00:28:25,200 Speaker 1: your cell phone. Dial pound two fifty and say pure Talk. 504 00:28:25,480 --> 00:28:28,720 Speaker 1: You'll say fifty percent off your first month. That's from 505 00:28:28,760 --> 00:28:31,680 Speaker 1: your cell phone right now. Remember a thirty day risk 506 00:28:31,800 --> 00:28:35,640 Speaker 1: free guarantee applies. Take out your cell phone, dial pound 507 00:28:36,000 --> 00:28:44,920 Speaker 1: two five zero and say the words pure Talk, welcome 508 00:28:44,920 --> 00:28:47,720 Speaker 1: back in play. Travis Buck Sexton, appreciate all of you 509 00:28:47,800 --> 00:28:50,280 Speaker 1: hanging out with us as we roll through the Wednesday 510 00:28:50,480 --> 00:28:54,920 Speaker 1: edition of the program and Buck. One of the challenges 511 00:28:55,160 --> 00:28:59,600 Speaker 1: of this whole COVID mess in general has been exacerbated 512 00:28:59,600 --> 00:29:05,040 Speaker 1: by Big Text decision to be so wrong in labeling 513 00:29:05,280 --> 00:29:09,640 Speaker 1: so much as misinformation and making it even more confusing 514 00:29:09,720 --> 00:29:13,040 Speaker 1: for people out there when it comes to actually understanding 515 00:29:13,440 --> 00:29:17,240 Speaker 1: what the data says, which is why I think certainly 516 00:29:17,280 --> 00:29:20,920 Speaker 1: for our audience, they've respected the fact that you and 517 00:29:20,960 --> 00:29:23,960 Speaker 1: I have basically analyzed the data from the get go 518 00:29:24,280 --> 00:29:27,400 Speaker 1: and acknowledge that it's hard to predict where things are going, 519 00:29:27,920 --> 00:29:30,719 Speaker 1: but that the data should guide all of our public 520 00:29:30,800 --> 00:29:36,560 Speaker 1: policy responses, and some of that data occasionally will be 521 00:29:36,720 --> 00:29:41,120 Speaker 1: very negative towards the idea of vaccinating young and healthy people. 522 00:29:41,440 --> 00:29:45,360 Speaker 1: In fact, the data doesn't support in any way that 523 00:29:45,560 --> 00:29:49,440 Speaker 1: children need to be vaccinated for COVID. And look, this 524 00:29:49,520 --> 00:29:53,280 Speaker 1: is my perspective. I don't believe if you have young 525 00:29:53,400 --> 00:29:56,240 Speaker 1: children that it makes sense to vaccinate them for COVID 526 00:29:56,320 --> 00:29:59,640 Speaker 1: based on the threat potential. Right now, let me explain 527 00:29:59,680 --> 00:30:02,600 Speaker 1: that I'm not an anti vaxer, because somebody will grab 528 00:30:02,640 --> 00:30:04,760 Speaker 1: that clip and they'll be like, oh, Glay Travis said 529 00:30:04,920 --> 00:30:07,840 Speaker 1: that he doesn't know the new definition of anti vaccini 530 00:30:08,120 --> 00:30:11,400 Speaker 1: Printermarian Webster Dictionary. Folks, Clay knows because I told them 531 00:30:11,400 --> 00:30:13,840 Speaker 1: about it before we talked about this. You are now 532 00:30:13,880 --> 00:30:18,800 Speaker 1: considered an anti vaxer under definite under dictionary definition. If 533 00:30:18,840 --> 00:30:23,720 Speaker 1: you oppose vaccine mandates. Isn't that cute? It's crazy? And 534 00:30:23,760 --> 00:30:26,960 Speaker 1: so look, my kids got measles. Mom's rebella all of 535 00:30:27,000 --> 00:30:30,080 Speaker 1: the standard vaccines. I believe you should get your kids 536 00:30:30,160 --> 00:30:34,680 Speaker 1: vaccinated too. Okay for that, but COVID isn't a danger 537 00:30:34,720 --> 00:30:38,200 Speaker 1: to children, and so the idea that you would risk 538 00:30:38,760 --> 00:30:42,200 Speaker 1: in any way vaccinating them with a brand new vaccine, 539 00:30:42,240 --> 00:30:44,960 Speaker 1: which by the way, doesn't seem to be that protective 540 00:30:45,560 --> 00:30:49,120 Speaker 1: in the grand scheme of things. I would rather most 541 00:30:49,240 --> 00:30:53,360 Speaker 1: kids in America get COVID because it doesn't impact them 542 00:30:53,920 --> 00:30:57,760 Speaker 1: and have the immunity naturally. Then I would to force 543 00:30:57,920 --> 00:31:00,200 Speaker 1: kids who were five and six years old or than 544 00:31:00,240 --> 00:31:04,080 Speaker 1: younger to get the vaccine. Well, buck young healthy people, 545 00:31:04,200 --> 00:31:07,600 Speaker 1: there are stories out there. They are a minority. They 546 00:31:07,600 --> 00:31:12,400 Speaker 1: are certainly outlier stories, but some young healthy people get 547 00:31:12,440 --> 00:31:16,600 Speaker 1: the vaccine and have massive issues with it, like this woman. Unfortunately, 548 00:31:17,000 --> 00:31:19,760 Speaker 1: out of the state of Washington, and you're not allowed 549 00:31:19,800 --> 00:31:21,800 Speaker 1: to talk about it for something most people. The part 550 00:31:21,800 --> 00:31:24,000 Speaker 1: of this that I think people are starting to see 551 00:31:24,000 --> 00:31:28,360 Speaker 1: and realize is really chilling is that we should have 552 00:31:28,600 --> 00:31:30,840 Speaker 1: they talk about the science and the data, and then 553 00:31:30,840 --> 00:31:34,240 Speaker 1: they'll suppress science and data when it goes against the 554 00:31:34,320 --> 00:31:37,600 Speaker 1: narrative of the elites and the Democrat apparatus of control. 555 00:31:38,240 --> 00:31:41,440 Speaker 1: And now we've even seen something another i would say, 556 00:31:41,600 --> 00:31:45,600 Speaker 1: COVID dystopian measure unveiled that many of us had said 557 00:31:45,720 --> 00:31:47,520 Speaker 1: it was just a matter of time. Remember when we 558 00:31:47,720 --> 00:31:50,040 Speaker 1: were talking about how there are people that are saying 559 00:31:50,040 --> 00:31:52,880 Speaker 1: they're going to deny medical care based on vaccination, deny 560 00:31:53,520 --> 00:31:57,560 Speaker 1: essential life saving medical care based on vaccination status. There's 561 00:31:57,600 --> 00:32:01,719 Speaker 1: now a Colorado based hospital system that and there's been 562 00:32:01,760 --> 00:32:04,600 Speaker 1: reporting on this, it's been confirmed. They are saying that 563 00:32:04,640 --> 00:32:09,480 Speaker 1: if you are on the organ transplant donor list and 564 00:32:09,520 --> 00:32:14,120 Speaker 1: you are unvaccinated, you're going into essentially the inactive status. 565 00:32:14,320 --> 00:32:17,120 Speaker 1: You're not getting an organ sorry. And the way they're 566 00:32:17,160 --> 00:32:19,760 Speaker 1: justifying this is by saying, if you were to get 567 00:32:19,760 --> 00:32:22,960 Speaker 1: that organ and you were to get COVID, you are 568 00:32:23,040 --> 00:32:25,240 Speaker 1: less likely to survive. So they're treating it like a 569 00:32:25,280 --> 00:32:28,120 Speaker 1: medical triage issue when first of all, as we know, 570 00:32:29,000 --> 00:32:31,040 Speaker 1: organ donation comes with a lot of risks to begin with, 571 00:32:31,080 --> 00:32:33,760 Speaker 1: and on top of that, you can actually still get 572 00:32:33,760 --> 00:32:37,720 Speaker 1: COVID even if you get the vaccine, which we now 573 00:32:37,760 --> 00:32:42,200 Speaker 1: know because the fiser Fiser's own data. These study shows 574 00:32:42,240 --> 00:32:48,160 Speaker 1: that after six months your protective level is fifty percent 575 00:32:48,280 --> 00:32:51,960 Speaker 1: from infection. Yes, that's the actual data. Now, folks just 576 00:32:52,000 --> 00:32:53,520 Speaker 1: see what they don't want to yell it from the 577 00:32:53,600 --> 00:32:56,360 Speaker 1: rooftops six months or fifty fifty that you're going to 578 00:32:56,440 --> 00:32:58,600 Speaker 1: get COVID or not get it if you're exposed to it. 579 00:32:58,600 --> 00:33:02,000 Speaker 1: It's the flu shot. And we don't ever call the 580 00:33:02,000 --> 00:33:05,640 Speaker 1: flu shot a vaccine. We say that it is a 581 00:33:05,680 --> 00:33:10,200 Speaker 1: helpful measure that elderly people should get. And people who 582 00:33:10,240 --> 00:33:12,800 Speaker 1: are called the flu shot, you don't really say the 583 00:33:12,840 --> 00:33:15,880 Speaker 1: flu vaccine. We say the flu shot because to me, 584 00:33:16,120 --> 00:33:19,120 Speaker 1: a vaccine has to be way more protective than that. 585 00:33:19,200 --> 00:33:21,920 Speaker 1: We say, hey, it's a measles mump's rebella vaccine. And 586 00:33:21,960 --> 00:33:25,520 Speaker 1: this is what I keep hammering Homebuck, is you never 587 00:33:25,560 --> 00:33:28,280 Speaker 1: worry like I've never in my entire life worried that 588 00:33:28,320 --> 00:33:30,600 Speaker 1: I was going to get measles because I got the vaccine. 589 00:33:31,240 --> 00:33:33,600 Speaker 1: But everybody who got the COVID vaccine, in the back 590 00:33:33,640 --> 00:33:35,680 Speaker 1: of their head, they know that it's not that effective. 591 00:33:36,200 --> 00:33:39,920 Speaker 1: So they're afraid. Their fear is that they're still going 592 00:33:39,960 --> 00:33:41,960 Speaker 1: to get COVID even though they've gotten a vaccine. And 593 00:33:41,960 --> 00:33:44,680 Speaker 1: now we're talking about a fifty percent efficacy rate after 594 00:33:44,720 --> 00:33:48,200 Speaker 1: six months. That's basically the flu shot, right, That's what 595 00:33:48,280 --> 00:33:50,520 Speaker 1: this is for covidio. And now they're going to say, 596 00:33:50,560 --> 00:33:54,760 Speaker 1: get a booster and find me one medical doctor or 597 00:33:54,760 --> 00:33:57,840 Speaker 1: a practitioner who can say with any confidence or is 598 00:33:57,840 --> 00:34:02,240 Speaker 1: willing to say, period at you will not have to 599 00:34:02,280 --> 00:34:05,520 Speaker 1: get more boosters after this booster for a year, keep 600 00:34:05,560 --> 00:34:09,600 Speaker 1: you protected. How could that be the case? And month 601 00:34:09,640 --> 00:34:12,960 Speaker 1: it goes away. I mean, do we think maybe people 602 00:34:12,960 --> 00:34:15,640 Speaker 1: believe we're going to cure covid so to speak. They 603 00:34:15,640 --> 00:34:17,440 Speaker 1: think that that's just over the horizon. So if we 604 00:34:17,440 --> 00:34:20,239 Speaker 1: can just get to that point. As it turns out, 605 00:34:20,280 --> 00:34:23,360 Speaker 1: that was actually what Australia and New Zealand were effectively. 606 00:34:23,520 --> 00:34:26,799 Speaker 1: They did the lockdown until vaccine planned. That was their plan, yea, 607 00:34:26,960 --> 00:34:29,919 Speaker 1: And now they've realized, well, it doesn't really work like that. 608 00:34:30,440 --> 00:34:33,359 Speaker 1: We've never cured the common cold, We've never cured the flu, 609 00:34:33,520 --> 00:34:37,400 Speaker 1: meaning eradicated these respiratory viruses from circulation around the world. 610 00:34:38,040 --> 00:34:40,839 Speaker 1: Why would we think it is imminent that we will 611 00:34:40,960 --> 00:34:43,560 Speaker 1: cure COVID. And if it's not imminent that will cure it, 612 00:34:44,040 --> 00:34:47,839 Speaker 1: we are just in a cycle of shots boosters. So 613 00:34:47,880 --> 00:34:50,600 Speaker 1: it does start to feel a lot more like the flu. 614 00:34:51,160 --> 00:34:52,600 Speaker 1: And I think you'll see people by the way that 615 00:34:52,680 --> 00:34:54,960 Speaker 1: continue to say that you're right, we should mask up 616 00:34:54,960 --> 00:34:57,959 Speaker 1: for flu season two, just so they can appear consistent now, 617 00:34:58,160 --> 00:35:01,880 Speaker 1: even though at the beginning we said, well that it's crazy, right, Well, 618 00:35:01,920 --> 00:35:04,919 Speaker 1: and that's what I think is going to become more 619 00:35:04,960 --> 00:35:07,799 Speaker 1: and more challenging. Is and this is some of the 620 00:35:07,800 --> 00:35:09,920 Speaker 1: conversations we've had and will continue to have for them 621 00:35:10,000 --> 00:35:13,399 Speaker 1: months and probably years ahead. Unfortunately, how do we land 622 00:35:13,440 --> 00:35:18,160 Speaker 1: the plane? How do we get to a totally normal 623 00:35:18,719 --> 00:35:23,879 Speaker 1: American situation in a post COVID world where COVID's never 624 00:35:23,960 --> 00:35:26,600 Speaker 1: going away? And I think to your point, Buck, a 625 00:35:26,640 --> 00:35:29,759 Speaker 1: lot of people are going to be so unwilling to 626 00:35:29,800 --> 00:35:33,600 Speaker 1: acknowledge that everything that they did, that all the lectures 627 00:35:33,680 --> 00:35:36,680 Speaker 1: that the mask wearing, that the social distancing, the parading 628 00:35:36,719 --> 00:35:41,520 Speaker 1: people who weren't vaccinated. All of that was effectively for naught. 629 00:35:41,800 --> 00:35:44,320 Speaker 1: They weren't getting a benefit from it. There's gonna be 630 00:35:44,320 --> 00:35:47,040 Speaker 1: a lot of people who insist, I think going forward, oh, 631 00:35:47,040 --> 00:35:49,359 Speaker 1: we have to wear masks forever on airplanes. I think. 632 00:35:49,480 --> 00:35:54,600 Speaker 1: I think every airline attendant who has humiliated and harassed 633 00:35:54,640 --> 00:35:58,279 Speaker 1: somebody for not masking up quickly enough between bites, they 634 00:35:58,280 --> 00:36:01,279 Speaker 1: should for a long time to come feel that that 635 00:36:01,400 --> 00:36:04,960 Speaker 1: twinge of remorse that can only come from those moments 636 00:36:04,960 --> 00:36:08,160 Speaker 1: in one's life when you realize how stupid and out 637 00:36:08,160 --> 00:36:11,080 Speaker 1: of control you were. So that's what I'm hoping we 638 00:36:11,160 --> 00:36:14,040 Speaker 1: get to where people will be deeply embarrassed by the 639 00:36:14,120 --> 00:36:15,960 Speaker 1: nonsense they put us through with. How do you think 640 00:36:15,960 --> 00:36:18,720 Speaker 1: flight ends are gonna be like, I'm sorry, I apologize. 641 00:36:19,160 --> 00:36:21,400 Speaker 1: They're gonna say they had to, but I trust me 642 00:36:21,440 --> 00:36:24,399 Speaker 1: as somebody who's been through that more than once. Yeah, 643 00:36:24,440 --> 00:36:26,520 Speaker 1: they could have been a little bit more cool about it. 644 00:36:26,760 --> 00:36:28,880 Speaker 1: Flight an, I gotta I gotta bone to pick with 645 00:36:28,920 --> 00:36:31,160 Speaker 1: the flight attendants. I'm not gonna lie and Claire, I 646 00:36:31,200 --> 00:36:33,200 Speaker 1: think you've got some things to say about miss joy 647 00:36:33,320 --> 00:36:36,040 Speaker 1: Behart coming up. I do Joy Behart and also news 648 00:36:36,080 --> 00:36:39,680 Speaker 1: out of Afghanistan, about the suicide bomber breaking and how 649 00:36:39,760 --> 00:36:43,319 Speaker 1: he ended up in the position to kill thirteen American soldiers. 650 00:36:43,360 --> 00:36:45,520 Speaker 1: We will talk about the national security deep dive we 651 00:36:45,640 --> 00:36:53,080 Speaker 1: come back. That sounds good to me. Yeah, you're listening 652 00:36:53,080 --> 00:37:01,360 Speaker 1: to Clay Travis and Buck Sexton fund the EIB Network.