1 00:00:00,120 --> 00:00:03,360 Speaker 1: Welcome to today's edition of the Clay Travis and buck 2 00:00:03,400 --> 00:00:07,240 Speaker 1: Sexton Show podcast. Welcome back in our number three Clay 3 00:00:07,280 --> 00:00:10,440 Speaker 1: Travis buck Sexton Show. We appreciate all of you hanging 4 00:00:10,440 --> 00:00:13,960 Speaker 1: out with us, including our new friends in Seattle. Yes, 5 00:00:14,040 --> 00:00:16,680 Speaker 1: we are here to shine a light in what has 6 00:00:16,720 --> 00:00:19,000 Speaker 1: been a dark period. I think it's fair to say 7 00:00:19,320 --> 00:00:23,920 Speaker 1: of the Pacific Northwest history, not just Seattle, but also Portland. 8 00:00:24,040 --> 00:00:27,480 Speaker 1: Everything has fallen apart up there in the last several years. 9 00:00:27,520 --> 00:00:30,560 Speaker 1: So we are here to help fight for sanity for you. Guys. 10 00:00:30,600 --> 00:00:34,440 Speaker 1: Appreciate all of you hanging out with us. And we've 11 00:00:34,479 --> 00:00:39,000 Speaker 1: been talking about a fantastic study. In fact, we opened 12 00:00:39,000 --> 00:00:43,320 Speaker 1: the show a couple of hours ago discussing an analysis 13 00:00:43,360 --> 00:00:48,320 Speaker 1: that had been done of the health related issues schooling 14 00:00:48,400 --> 00:00:54,040 Speaker 1: for children and the economic impact of shutdowns, lockdowns, whatever 15 00:00:54,040 --> 00:00:57,120 Speaker 1: you want to classify them as. And one of the authors, 16 00:00:57,160 --> 00:00:59,920 Speaker 1: one of the three authors of that study is Universe 17 00:01:00,160 --> 00:01:04,320 Speaker 1: of Chicago economist Casey Mulligan, and he joins us. Now, 18 00:01:05,480 --> 00:01:08,960 Speaker 1: fantastic work that you guys did. Casey sort of take 19 00:01:09,040 --> 00:01:12,319 Speaker 1: us into the methodology. How long did you spend putting 20 00:01:12,360 --> 00:01:16,880 Speaker 1: together all of this data and what were your overall conclusions. 21 00:01:16,920 --> 00:01:19,360 Speaker 1: For people who may not have read this study, it's 22 00:01:19,440 --> 00:01:21,480 Speaker 1: up at clayinbuck dot com. You can read in the 23 00:01:21,520 --> 00:01:23,840 Speaker 1: Wall Street Journal, it's up at OutKick, It's all over 24 00:01:23,880 --> 00:01:27,759 Speaker 1: the place. It's spreading like crazy. Congratulations on the work. 25 00:01:27,920 --> 00:01:33,240 Speaker 1: Take us into your methodology. Yeah, we wanted to look 26 00:01:33,319 --> 00:01:38,360 Speaker 1: at each of the states independently because we had kind 27 00:01:38,400 --> 00:01:43,760 Speaker 1: of a federal system where governors and even mayors had 28 00:01:43,800 --> 00:01:46,320 Speaker 1: a lot of say so instead of the federal government directing. 29 00:01:46,360 --> 00:01:50,160 Speaker 1: So we thought we could learn by comparing the different states. 30 00:01:50,200 --> 00:01:52,600 Speaker 1: Also the District of Columbia, so we have fifty one 31 00:01:53,600 --> 00:02:01,000 Speaker 1: and we look at measured their mortality from COVID and generally, 32 00:02:02,040 --> 00:02:07,800 Speaker 1: we measured their economic activity by their GDP and their 33 00:02:07,880 --> 00:02:14,040 Speaker 1: unemployment rate, and then we measured schooling, which was how 34 00:02:14,080 --> 00:02:21,799 Speaker 1: many of the public schools were open. And interestingly, there 35 00:02:21,919 --> 00:02:27,440 Speaker 1: was really no relationship between having a vibrant economy and 36 00:02:27,639 --> 00:02:32,840 Speaker 1: having lots of deaths. People thought maybe that if you 37 00:02:32,960 --> 00:02:35,880 Speaker 1: let your economy be open, like maybe Florida did, you 38 00:02:35,919 --> 00:02:39,639 Speaker 1: would get extra deaths from That doesn't really bear out 39 00:02:40,200 --> 00:02:45,120 Speaker 1: really at all. The one exception being Hawaii. Of course, 40 00:02:45,120 --> 00:02:49,440 Speaker 1: it's an island, unlike our other states, they really did isolate. 41 00:02:49,480 --> 00:02:53,040 Speaker 1: Their economies in bad shape even as we speak, but 42 00:02:53,080 --> 00:02:57,639 Speaker 1: their mortality has been a lot lower. So WHI was 43 00:02:57,720 --> 00:03:00,440 Speaker 1: able to they gave up a lot, They were able 44 00:03:00,480 --> 00:03:03,560 Speaker 1: to get something. But otherwise these states, typically blue states, 45 00:03:03,960 --> 00:03:06,840 Speaker 1: they gave up a lot of economic activity, didn't get 46 00:03:06,720 --> 00:03:09,799 Speaker 1: better health for it. So can you tell me this one? 47 00:03:10,080 --> 00:03:15,359 Speaker 1: How did How are I should say people coming at 48 00:03:15,440 --> 00:03:17,960 Speaker 1: your study, casey, I mean, what are they saying? How 49 00:03:18,000 --> 00:03:20,639 Speaker 1: are the I always find it's useful in these moments 50 00:03:21,000 --> 00:03:23,320 Speaker 1: to look for what the critiques are so we can 51 00:03:23,480 --> 00:03:26,480 Speaker 1: know what your response would be, right, I mean I 52 00:03:26,880 --> 00:03:30,440 Speaker 1: mentioned before just from a quick read, state by this 53 00:03:30,440 --> 00:03:32,600 Speaker 1: isn't a critique of the study, but state by state 54 00:03:33,280 --> 00:03:35,360 Speaker 1: you always will hear people say, well, you know, South 55 00:03:35,440 --> 00:03:43,200 Speaker 1: Dakota has a per square resident level approaching you know, Polynesia, Right, 56 00:03:43,200 --> 00:03:45,800 Speaker 1: I mean, it's just it's not a very well populated place, 57 00:03:46,120 --> 00:03:48,880 Speaker 1: so it's not fair to compare New York City to 58 00:03:49,080 --> 00:03:52,080 Speaker 1: South Dakota. But that's just more of the states and states, 59 00:03:52,080 --> 00:03:53,760 Speaker 1: and you do that with all the different places. You 60 00:03:53,800 --> 00:03:57,520 Speaker 1: do what are the criticisms of the study and what 61 00:03:57,560 --> 00:03:59,360 Speaker 1: are your responses to them? Because as you know, this 62 00:03:59,440 --> 00:04:03,040 Speaker 1: is a very con tentious topic. Why I think you're 63 00:04:04,160 --> 00:04:08,200 Speaker 1: you raised, But I think it's the number one concern, 64 00:04:08,680 --> 00:04:13,160 Speaker 1: which would be the population density that you have states, 65 00:04:13,160 --> 00:04:17,920 Speaker 1: and they also tend to be blue, where the populations 66 00:04:17,720 --> 00:04:24,360 Speaker 1: densely packed in there, New York, New Jersey. And you 67 00:04:24,360 --> 00:04:28,640 Speaker 1: wou seem that the disease would spread quickly, And we 68 00:04:28,680 --> 00:04:32,280 Speaker 1: agree that the disease would tend to spread quickly at first, 69 00:04:33,120 --> 00:04:35,720 Speaker 1: but we measured everything over two years, so the virus 70 00:04:35,720 --> 00:04:38,680 Speaker 1: had plenty of time to make it to rural areas 71 00:04:38,680 --> 00:04:43,719 Speaker 1: in fact, it did in fact. And then this is 72 00:04:43,800 --> 00:04:47,240 Speaker 1: we're not the first ones to find this. Scholars of 73 00:04:47,480 --> 00:04:53,479 Speaker 1: disease have always always had a trouble finding cities to 74 00:04:53,640 --> 00:04:58,039 Speaker 1: do worse, at least in a modern area era. For 75 00:04:58,400 --> 00:05:04,560 Speaker 1: cities to do worse, they do it first, But it's 76 00:05:04,920 --> 00:05:08,000 Speaker 1: mainly an issue of timing. The rural areas tend to 77 00:05:08,000 --> 00:05:11,039 Speaker 1: get these diseases just at a later point in time, 78 00:05:11,080 --> 00:05:13,440 Speaker 1: and where we have the luxury now two years out 79 00:05:14,440 --> 00:05:17,440 Speaker 1: of looking at that. We're talking to University of Chicago 80 00:05:17,520 --> 00:05:21,039 Speaker 1: economist Casey Mulligan, who wrote a fantastic one of the 81 00:05:21,040 --> 00:05:23,159 Speaker 1: co authors of a fantastic study getting a lot of 82 00:05:23,160 --> 00:05:27,200 Speaker 1: attention today across the media landscape. All right, So, Casey, 83 00:05:27,279 --> 00:05:29,800 Speaker 1: based on the data that you have seen, both health, 84 00:05:30,520 --> 00:05:34,880 Speaker 1: schooling for children and also overall economic impact, we were 85 00:05:34,960 --> 00:05:39,400 Speaker 1: fortunate to have effectively thanks to federalism. Shout out, shout 86 00:05:39,440 --> 00:05:44,200 Speaker 1: out to the founders back in the day who recognized 87 00:05:44,520 --> 00:05:47,200 Speaker 1: the value of federalism. And this is one of the 88 00:05:47,240 --> 00:05:51,360 Speaker 1: greatest I can imagine laboratories that we've ever had for federalism. 89 00:05:51,360 --> 00:05:55,960 Speaker 1: As you mentioned, fifty one different localities if you count Washington, DC, 90 00:05:56,240 --> 00:06:00,000 Speaker 1: all implementing some version of different policies. As it pertains 91 00:06:00,200 --> 00:06:03,640 Speaker 1: to COVID, Casey, if you based on the data that 92 00:06:03,680 --> 00:06:07,680 Speaker 1: you've looked at sort of exhaustively studied here, what was 93 00:06:07,760 --> 00:06:10,080 Speaker 1: the best response? This is one of the things that 94 00:06:10,240 --> 00:06:13,320 Speaker 1: as we come out of COVID, What did we learn 95 00:06:13,520 --> 00:06:16,359 Speaker 1: from the way that we responded to it. What was 96 00:06:16,400 --> 00:06:19,320 Speaker 1: the best possible decision that could have been made? What 97 00:06:19,520 --> 00:06:22,839 Speaker 1: state and or states did the best job based on 98 00:06:22,960 --> 00:06:29,000 Speaker 1: your data in balancing all of these different competing equities. Well, 99 00:06:29,360 --> 00:06:34,520 Speaker 1: keeping schools open very clear now, I think it was 100 00:06:34,920 --> 00:06:39,960 Speaker 1: pretty clear early on, but we all can admit now 101 00:06:40,000 --> 00:06:44,200 Speaker 1: that closing the schools didn't help, maybe even hurt. Yeah, 102 00:06:44,720 --> 00:06:48,440 Speaker 1: disease may spread less in schools. This particular disease may 103 00:06:48,440 --> 00:06:50,600 Speaker 1: spread less in the schools than it does, say, at home, 104 00:06:50,800 --> 00:06:53,440 Speaker 1: because the kids have to go somewhere, of course, So 105 00:06:53,480 --> 00:06:56,200 Speaker 1: we just put a huge burden on kids and really 106 00:06:56,240 --> 00:06:59,960 Speaker 1: no dividend from that at all. I think that's pretty clear. 107 00:07:01,120 --> 00:07:04,799 Speaker 1: You know your top states and having schools open. Wyoming 108 00:07:04,880 --> 00:07:08,720 Speaker 1: had all the public schools open for the full academic 109 00:07:08,800 --> 00:07:13,600 Speaker 1: year that we looked at. Florida was very high on that, 110 00:07:14,320 --> 00:07:17,960 Speaker 1: Arkansas also high, and your Blue states were quite low. 111 00:07:18,040 --> 00:07:20,880 Speaker 1: Hawaii was one of those that had their schools closed 112 00:07:20,880 --> 00:07:24,680 Speaker 1: a lot. I think that makes no sense. I understand 113 00:07:24,920 --> 00:07:28,200 Speaker 1: their idea of closing the islands from the rest of 114 00:07:28,240 --> 00:07:31,800 Speaker 1: the world, But you got your island closed. Why can't 115 00:07:31,800 --> 00:07:34,560 Speaker 1: you have the schools open um there are no cases 116 00:07:34,560 --> 00:07:37,200 Speaker 1: on your island. Why why do the kids need to 117 00:07:37,200 --> 00:07:40,200 Speaker 1: stay at home? So very good question, Casey, And we're 118 00:07:40,200 --> 00:07:42,360 Speaker 1: gonna put a link up at clayinbuck dot com to 119 00:07:43,360 --> 00:07:45,800 Speaker 1: your your work. Here a final report card on the 120 00:07:45,800 --> 00:07:49,040 Speaker 1: state's response to COVID nineteen by Phil Kirpin, Stephen Moore, 121 00:07:49,440 --> 00:07:52,960 Speaker 1: and Casey B. Mulligan. That'll be up at clayinbuck dot com. Shortly, 122 00:07:53,000 --> 00:07:56,440 Speaker 1: we'll put up the link, Casey to your actual studies 123 00:07:56,440 --> 00:07:58,040 Speaker 1: so both can see it for themselves. I think it's 124 00:07:58,040 --> 00:08:00,600 Speaker 1: important they have access to the you know, Themary source 125 00:08:00,680 --> 00:08:04,080 Speaker 1: material in case they have some agitated lib neighbor who 126 00:08:04,080 --> 00:08:06,200 Speaker 1: wants to say this isn't even the thing. So that's 127 00:08:06,240 --> 00:08:07,680 Speaker 1: a great way to get it out there. Thank you 128 00:08:07,720 --> 00:08:09,880 Speaker 1: so much for being with us, Casey. We appreciate it, 129 00:08:10,000 --> 00:08:12,880 Speaker 1: my pleasure. You know, Clay, he's not the only one 130 00:08:13,520 --> 00:08:16,360 Speaker 1: these days who's making the case. A lot of people 131 00:08:16,400 --> 00:08:18,920 Speaker 1: out there are starting to and I mean by the numbers. 132 00:08:18,960 --> 00:08:21,200 Speaker 1: We you and I make the case based on reason, logic, 133 00:08:21,240 --> 00:08:24,120 Speaker 1: and experience, but some folks and you like data a lot. 134 00:08:24,160 --> 00:08:26,320 Speaker 1: But I mean, there are true data nerds. This is 135 00:08:26,360 --> 00:08:29,440 Speaker 1: all they do, and they're looking at you know, they're 136 00:08:29,480 --> 00:08:31,360 Speaker 1: not talking about the things we talk about all day, 137 00:08:31,640 --> 00:08:34,040 Speaker 1: and they're looking at the numbers and they recognize so 138 00:08:34,160 --> 00:08:37,480 Speaker 1: much of this has just gotten to be and there's 139 00:08:37,480 --> 00:08:39,960 Speaker 1: not really two sides to the argument anymore. Based on 140 00:08:40,000 --> 00:08:41,960 Speaker 1: the data. You can argue whatever you want, but when 141 00:08:42,000 --> 00:08:44,320 Speaker 1: you look at the numbers, it's clear that when you 142 00:08:44,360 --> 00:08:48,280 Speaker 1: have study after study showing little to know and sometimes 143 00:08:48,280 --> 00:08:51,080 Speaker 1: even negative efficacy for some of these measures. Like there 144 00:08:51,160 --> 00:08:54,440 Speaker 1: was a recent masking in schools study that showed for 145 00:08:54,440 --> 00:08:57,000 Speaker 1: some reason, schools I think it wasn't in Denmark. I 146 00:08:57,000 --> 00:08:59,760 Speaker 1: think it was schools in Denmark massed up and the 147 00:08:59,760 --> 00:09:03,200 Speaker 1: one that didn't mask up actually had lower COVID ten 148 00:09:03,240 --> 00:09:05,960 Speaker 1: to twelve age group. But here's the New York Times 149 00:09:06,120 --> 00:09:10,400 Speaker 1: is On New York Times is David Leonhart, who started 150 00:09:10,440 --> 00:09:12,720 Speaker 1: to be one of these. He's kind of a lib 151 00:09:12,800 --> 00:09:16,000 Speaker 1: COVID whisperer in the sense that he's like, hey, guys, 152 00:09:16,640 --> 00:09:19,080 Speaker 1: maybe you should start to live in reality a little 153 00:09:19,080 --> 00:09:22,160 Speaker 1: bit instead of this other fauci crazy place. Here's what 154 00:09:22,200 --> 00:09:24,120 Speaker 1: he says. There are all kinds of things that liberal 155 00:09:24,160 --> 00:09:27,880 Speaker 1: America is doing at a very good instinct that make 156 00:09:28,080 --> 00:09:31,200 Speaker 1: very little difference, and that the vaccines really work and 157 00:09:31,280 --> 00:09:34,560 Speaker 1: save lives, and by not taking them, conservatives or damaging 158 00:09:34,559 --> 00:09:37,440 Speaker 1: themselves and damaging the country. And the word you use, 159 00:09:37,520 --> 00:09:40,440 Speaker 1: balance I think is perfect. I think conservatives haven't taken 160 00:09:40,480 --> 00:09:43,719 Speaker 1: COVID nearly seriously enough, and I think liberals, if we're 161 00:09:43,760 --> 00:09:46,760 Speaker 1: being honest about this, has some performative aspects of the 162 00:09:46,800 --> 00:09:50,120 Speaker 1: COVID response wearing masks because it feels like a badge 163 00:09:50,120 --> 00:09:53,760 Speaker 1: of I'm a progressivet even though a lot of those masks, 164 00:09:53,880 --> 00:09:57,640 Speaker 1: particularly with omicron, which is so contagious, are doing very 165 00:09:57,880 --> 00:10:00,960 Speaker 1: little to protect people. I'm not antima. We're one. If 166 00:10:00,960 --> 00:10:02,319 Speaker 1: you go into a nursing home, if you go into 167 00:10:02,360 --> 00:10:04,839 Speaker 1: an hospital, wear a can ninety five or an ninety five. 168 00:10:05,040 --> 00:10:07,480 Speaker 1: But don't think that these mask mandids where you wear 169 00:10:07,520 --> 00:10:09,800 Speaker 1: some cloth mask into a restaurant and then you take 170 00:10:09,840 --> 00:10:12,480 Speaker 1: it off so you can eat, is doing any So 171 00:10:12,559 --> 00:10:14,440 Speaker 1: can I just say that, I mean, obviously some our 172 00:10:14,440 --> 00:10:16,360 Speaker 1: audience is sitting You're saying, actually, there's a lot that 173 00:10:16,360 --> 00:10:18,640 Speaker 1: I would criticize, and I would too, but this is 174 00:10:18,640 --> 00:10:20,960 Speaker 1: the only He's a New York Times, he's from the 175 00:10:21,040 --> 00:10:25,880 Speaker 1: high temple of leftism, folks, and he's saying cloth masters 176 00:10:26,000 --> 00:10:28,720 Speaker 1: stupid and do he says very little. It's actually nothing. 177 00:10:29,000 --> 00:10:32,280 Speaker 1: The answer is actually zero. It's it's not twenty percent 178 00:10:32,360 --> 00:10:35,520 Speaker 1: or ten percent. It's zero reduction that they can actually 179 00:10:35,520 --> 00:10:38,560 Speaker 1: show statistically. But that's about as strong as you're going 180 00:10:38,600 --> 00:10:40,319 Speaker 1: to get from The New York Times to admit, yeah, 181 00:10:40,320 --> 00:10:42,640 Speaker 1: it was. It was silly, and by the way, I 182 00:10:42,640 --> 00:10:45,199 Speaker 1: would say that we have been first of all, pointing 183 00:10:45,200 --> 00:10:47,800 Speaker 1: out all of the absurdities of left wing but also 184 00:10:47,920 --> 00:10:51,720 Speaker 1: recognizing I want to continue to emphasize this buck you 185 00:10:51,800 --> 00:10:54,520 Speaker 1: and I told our dads and our moms and our 186 00:10:54,880 --> 00:10:58,960 Speaker 1: elderly relatives that they should get the COVID shot, right, 187 00:10:59,040 --> 00:11:01,719 Speaker 1: because if you're over the age of seventy, if you're 188 00:11:01,720 --> 00:11:04,959 Speaker 1: a senior citizen, the data reflects that you are under 189 00:11:05,040 --> 00:11:08,640 Speaker 1: particular danger from COVID. My kids are not going to 190 00:11:08,679 --> 00:11:10,840 Speaker 1: get the COVID shot. Yeah right, they're just not. We 191 00:11:10,880 --> 00:11:12,640 Speaker 1: are in the balance that they were talking about as 192 00:11:12,679 --> 00:11:15,360 Speaker 1: the point. Yeah, are exactly right. Yes, that's exactly right. 193 00:11:15,400 --> 00:11:18,800 Speaker 1: And I think our audience recognizes that, and we treat 194 00:11:18,840 --> 00:11:21,480 Speaker 1: them intelligently enough to say, Hey, if you're a healthy 195 00:11:21,559 --> 00:11:24,400 Speaker 1: twenty two year old listening to us right now, or 196 00:11:24,480 --> 00:11:27,160 Speaker 1: you've got a six year old, you don't treat that 197 00:11:27,280 --> 00:11:30,119 Speaker 1: six year old the same way that you would grandpa 198 00:11:30,200 --> 00:11:33,440 Speaker 1: who's seventy nine years old or eighty six or whatever 199 00:11:33,480 --> 00:11:36,480 Speaker 1: your mom and dad and grandma and grandpa might be. 200 00:11:37,160 --> 00:11:41,600 Speaker 1: Everybody has different healthcare needs. And what we totally missed 201 00:11:41,640 --> 00:11:45,680 Speaker 1: throughout this entire process is that fact and it's the 202 00:11:45,920 --> 00:11:49,520 Speaker 1: essence of the way that we treat medicine for virtually 203 00:11:49,640 --> 00:11:53,319 Speaker 1: everything else. Right, the six year olds don't take blood 204 00:11:53,320 --> 00:11:56,800 Speaker 1: pressure medication because they don't need it, but you're eighty 205 00:11:56,800 --> 00:12:00,280 Speaker 1: five year old may well need it. Everybody's biochemist and 206 00:12:00,400 --> 00:12:02,880 Speaker 1: body is different. And that's why I think you have 207 00:12:02,920 --> 00:12:06,400 Speaker 1: to look at the data and make rational decisions based 208 00:12:06,440 --> 00:12:10,040 Speaker 1: on your own health choices. And we totally missed that 209 00:12:10,120 --> 00:12:12,160 Speaker 1: for the past two years. And I will say my 210 00:12:12,840 --> 00:12:15,599 Speaker 1: biggest because because I think it's so important that the 211 00:12:15,559 --> 00:12:19,959 Speaker 1: world always honest with everybody, My biggest fail during COVID 212 00:12:20,040 --> 00:12:24,120 Speaker 1: in terms of believing something that was turned out to 213 00:12:24,160 --> 00:12:29,160 Speaker 1: not be true, was in March April a year ago, 214 00:12:29,320 --> 00:12:33,200 Speaker 1: when they were saying the vaccine is ninety seven percent effective. 215 00:12:33,800 --> 00:12:37,680 Speaker 1: I largely believed that against that strain it would be 216 00:12:37,760 --> 00:12:42,319 Speaker 1: ninety seven percent effective and durable. Now, the entire medical 217 00:12:42,400 --> 00:12:44,680 Speaker 1: establishment seemed to go along with that. Whatever that turned 218 00:12:44,679 --> 00:12:46,680 Speaker 1: out not to be true, as we well know, and 219 00:12:46,760 --> 00:12:50,280 Speaker 1: it wasn't preventative against infection. It lowered your risk of 220 00:12:50,360 --> 00:12:53,599 Speaker 1: severe disease. But I did I thought that it was 221 00:12:53,640 --> 00:12:56,520 Speaker 1: going to be, you know, super protective in the initial 222 00:12:56,520 --> 00:12:59,240 Speaker 1: phases and we started to have Alex on in June 223 00:12:59,240 --> 00:13:03,400 Speaker 1: and July together day show and said, hold on a second, 224 00:13:03,480 --> 00:13:05,920 Speaker 1: what's really going on here? We change, or I should 225 00:13:05,960 --> 00:13:07,720 Speaker 1: say I change. I won't speak for you. I change 226 00:13:07,760 --> 00:13:09,960 Speaker 1: with the data in terms of how protective I thought 227 00:13:09,960 --> 00:13:13,520 Speaker 1: it would be. But it's amazing me. I have psycho 228 00:13:13,760 --> 00:13:16,400 Speaker 1: libs come after me online. You know, why do you 229 00:13:16,400 --> 00:13:18,880 Speaker 1: tell everybody not to get to vaccine. I'm like, I don't, 230 00:13:18,880 --> 00:13:20,920 Speaker 1: you don't. They don't have no idea what they're talking about. 231 00:13:20,920 --> 00:13:22,280 Speaker 1: They don't know what I think, what I say. The 232 00:13:22,360 --> 00:13:25,400 Speaker 1: obviously don't listen to this show. I mean, my dad 233 00:13:25,920 --> 00:13:29,200 Speaker 1: was freezing his butt off in the cold in the 234 00:13:29,200 --> 00:13:32,120 Speaker 1: middle of Staten Island to be online to get the 235 00:13:32,120 --> 00:13:34,600 Speaker 1: shot in March of twenty twenty. And I remember I 236 00:13:34,640 --> 00:13:36,080 Speaker 1: called them. I called them my show at the time, 237 00:13:36,080 --> 00:13:38,040 Speaker 1: and I said, I think you're doing the right thing. 238 00:13:38,120 --> 00:13:39,640 Speaker 1: I think this is worth it for you to get 239 00:13:40,000 --> 00:13:43,240 Speaker 1: not antiaccine thing. I said the same thing to my 240 00:13:43,280 --> 00:13:47,160 Speaker 1: parents buck And in fact, when Florida was distributing the 241 00:13:47,160 --> 00:13:50,440 Speaker 1: first days of the vaccine, remember when Rhonda Santis was 242 00:13:50,480 --> 00:13:53,719 Speaker 1: getting criticized because he said, no, no, we're distributing the 243 00:13:53,800 --> 00:13:56,560 Speaker 1: vaccine to the elderly first, and you had to be 244 00:13:56,600 --> 00:13:59,439 Speaker 1: over sixty five or whatever it was to get the shot. Correct. 245 00:14:00,480 --> 00:14:02,920 Speaker 1: Remember this, this is actually really this is really important, folks. 246 00:14:02,960 --> 00:14:04,880 Speaker 1: There was a big fight, and I knew about this 247 00:14:05,000 --> 00:14:08,160 Speaker 1: in the White House in the very end of the 248 00:14:08,200 --> 00:14:11,400 Speaker 1: Trump presidency. There was a fight going on because Fauci 249 00:14:11,440 --> 00:14:17,719 Speaker 1: and the bureaucrats wanted to go to frontline healthcare workers first. Actually, 250 00:14:18,000 --> 00:14:21,040 Speaker 1: and what we found out is it's not effective against 251 00:14:21,080 --> 00:14:26,320 Speaker 1: transmission prevention. Frontline healthcare workers are overwhelmingly not in their 252 00:14:26,480 --> 00:14:30,160 Speaker 1: late sixties, seventies, and eighties, So they did the wrong 253 00:14:30,280 --> 00:14:33,400 Speaker 1: thing even with who should get the vaccine first. And 254 00:14:33,440 --> 00:14:36,080 Speaker 1: by the way, frontline healthcare workers had almost all been 255 00:14:36,120 --> 00:14:40,440 Speaker 1: exposed to COD. So what I said was they were 256 00:14:40,440 --> 00:14:42,360 Speaker 1: giving it out to anybody. It turned into kind of 257 00:14:42,360 --> 00:14:44,760 Speaker 1: an issue where people were traveling to Florida who were 258 00:14:44,760 --> 00:14:47,240 Speaker 1: over sixty five to get this thing. We've got a 259 00:14:47,240 --> 00:14:49,480 Speaker 1: place in Florida, and so I was like, well, I 260 00:14:49,480 --> 00:14:50,720 Speaker 1: don't know how long it's going to take you to 261 00:14:50,760 --> 00:14:53,120 Speaker 1: get the shot in Tennessee. Ended up not taking very long, 262 00:14:53,160 --> 00:14:54,560 Speaker 1: but I was like, if you guys want to use 263 00:14:54,920 --> 00:14:57,400 Speaker 1: our place down in Florida to stay there for a 264 00:14:57,440 --> 00:14:59,480 Speaker 1: couple of months. You can go over to Public's and 265 00:14:59,520 --> 00:15:01,440 Speaker 1: they're giving the shot out to anybody over the age 266 00:15:01,440 --> 00:15:03,760 Speaker 1: of sixty five. And that was one hundred percent the 267 00:15:03,840 --> 00:15:05,520 Speaker 1: right thing to do. And by the way, it's the 268 00:15:05,600 --> 00:15:07,320 Speaker 1: right thing to do if you're over sixty five and 269 00:15:07,320 --> 00:15:09,840 Speaker 1: certainly you have health related concerns, you should be concerned 270 00:15:09,840 --> 00:15:13,080 Speaker 1: about COVID. Anybody under sixty five, the data doesn't reflect that. 271 00:15:13,080 --> 00:15:16,680 Speaker 1: That's very true. Yep. Just looking at the reality, folks. 272 00:15:16,680 --> 00:15:21,360 Speaker 1: Some financial experts are suggesting there's a recession headed our way. 273 00:15:21,680 --> 00:15:23,600 Speaker 1: It's that much more important to do everything we can 274 00:15:23,680 --> 00:15:26,920 Speaker 1: to save more where we can, like your monthly mortgage costs, 275 00:15:26,920 --> 00:15:29,040 Speaker 1: for instance. An easy way to do this get a free, 276 00:15:29,120 --> 00:15:33,400 Speaker 1: no obligation mortgage review from our friends at American Financing. 277 00:15:33,480 --> 00:15:35,880 Speaker 1: They're gonna look at your entire financial picture, from your 278 00:15:35,920 --> 00:15:37,920 Speaker 1: home loan to the equity in your home, even your 279 00:15:38,000 --> 00:15:40,440 Speaker 1: high interest debt. They'll review at all and do all 280 00:15:40,480 --> 00:15:42,320 Speaker 1: they can to help you save up to a thousand 281 00:15:42,360 --> 00:15:44,480 Speaker 1: dollars a month. Think of the difference that can make, 282 00:15:44,520 --> 00:15:46,960 Speaker 1: then pick up the phone to learn more. A thousand 283 00:15:47,000 --> 00:15:49,280 Speaker 1: dollars a month that's a lot of cash, folks. If 284 00:15:49,280 --> 00:15:52,280 Speaker 1: you start soon, you could skip two mortgage payments and 285 00:15:52,360 --> 00:15:55,360 Speaker 1: you might even close in as fast as ten days. 286 00:15:55,760 --> 00:15:58,960 Speaker 1: Call American Financing at eight hundred seven seven seven eighty 287 00:15:58,960 --> 00:16:02,760 Speaker 1: one oh nine. That's eight hundred seven seven seven eighty 288 00:16:02,760 --> 00:16:06,440 Speaker 1: one oh nine, or visit American Financing dot net, animals 289 00:16:06,520 --> 00:16:10,320 Speaker 1: one eight two three three four animals, consumer access dot org. 290 00:16:15,200 --> 00:16:17,840 Speaker 1: Welcome back to Clay Anne Buck rolling through third hour. 291 00:16:17,960 --> 00:16:19,760 Speaker 1: We'll talk to you more here in just a couple 292 00:16:19,800 --> 00:16:23,600 Speaker 1: of minutes about the situation of inflation in the country. 293 00:16:23,640 --> 00:16:26,320 Speaker 1: It's looking like it's going to be rough, and also 294 00:16:27,080 --> 00:16:30,640 Speaker 1: Biden Hunter, Biden's laptop situation and all that and more. 295 00:16:30,960 --> 00:16:34,040 Speaker 1: But first I gonna say, like, maybe inflations like not 296 00:16:34,160 --> 00:16:37,080 Speaker 1: that bad, because like maybe you should inflate things, like 297 00:16:37,160 --> 00:16:39,280 Speaker 1: when you need a raft in the pool, Clay, what 298 00:16:39,360 --> 00:16:43,520 Speaker 1: do you do? You inflate it. Jensaki is here telling 299 00:16:43,600 --> 00:16:46,160 Speaker 1: us that inflations like not gonna be good tomorrow, guys. 300 00:16:46,160 --> 00:16:48,960 Speaker 1: But it's Putin's fault. So because of the actions we've 301 00:16:49,000 --> 00:16:51,760 Speaker 1: taken to address put the Putin price hike, we are 302 00:16:51,760 --> 00:16:54,840 Speaker 1: in a better place than we were last month. But 303 00:16:55,400 --> 00:16:59,800 Speaker 1: we expect March CPA CPI headline inflation to be extraordinarily 304 00:16:59,800 --> 00:17:04,919 Speaker 1: elevated due to Putin's price hike. Putin's price hyke class. 305 00:17:05,000 --> 00:17:08,760 Speaker 1: This is such a lie. I mean, first of all, 306 00:17:08,840 --> 00:17:14,600 Speaker 1: inflation was seven point nine percent essentially before anything happened 307 00:17:14,600 --> 00:17:18,240 Speaker 1: in Ukraine, right, I mean the numbers were baked in 308 00:17:18,720 --> 00:17:21,920 Speaker 1: only a few days in the last CPI number had 309 00:17:21,960 --> 00:17:24,480 Speaker 1: anything at all to do with Ukraine and Russia. They 310 00:17:24,520 --> 00:17:27,480 Speaker 1: tried to argue the seven point nine percent was somehow 311 00:17:27,520 --> 00:17:31,560 Speaker 1: created and connected to Putin. This is even more duplicitous 312 00:17:31,600 --> 00:17:34,119 Speaker 1: of an answer here, because there is going to be 313 00:17:34,320 --> 00:17:37,560 Speaker 1: no basis in fact for why we are at another 314 00:17:37,680 --> 00:17:41,120 Speaker 1: forty year high that it's because of Putin. It's because 315 00:17:41,200 --> 00:17:45,120 Speaker 1: of United States issues now and by the way, global issues. 316 00:17:45,160 --> 00:17:50,800 Speaker 1: But certainly our inflation issues are not suddenly arising because 317 00:17:50,840 --> 00:17:52,840 Speaker 1: of what happened in Ukraine and Russia. Could it be 318 00:17:52,880 --> 00:17:55,879 Speaker 1: a bit worse because of that, yes, but not a 319 00:17:55,880 --> 00:17:58,560 Speaker 1: bit worse to take us to a forty year high. 320 00:17:58,960 --> 00:18:00,399 Speaker 1: I think you're forgetting that what you do when you 321 00:18:00,400 --> 00:18:03,359 Speaker 1: have a flat tire, you inflate it. Sake wants to 322 00:18:03,400 --> 00:18:07,360 Speaker 1: have a word with you. Oh my god, she's going 323 00:18:07,400 --> 00:18:10,960 Speaker 1: to MSNBC. I'm gonna get paid tens of millions of dollars, 324 00:18:11,000 --> 00:18:14,080 Speaker 1: probably based on performances like that. Look, we want you 325 00:18:14,119 --> 00:18:17,119 Speaker 1: to sit in the most comfortable chairs imaginable because guess what, 326 00:18:17,480 --> 00:18:19,760 Speaker 1: a lot of you right now have home offices. Maybe 327 00:18:19,760 --> 00:18:23,159 Speaker 1: you're using different places to work from than normal. And 328 00:18:23,200 --> 00:18:26,480 Speaker 1: when you're sitting in a chair all day, trust me, 329 00:18:27,000 --> 00:18:31,040 Speaker 1: what it feels like matters in a massive way. And 330 00:18:31,160 --> 00:18:34,160 Speaker 1: that is why you need heat and cold in your back, 331 00:18:34,320 --> 00:18:37,600 Speaker 1: You need dynamic lumbar support. All of that can come 332 00:18:37,640 --> 00:18:39,600 Speaker 1: from the X chair, which is the greatest chair that 333 00:18:39,680 --> 00:18:42,320 Speaker 1: I have ever set in. Also same as true for Buck. 334 00:18:42,359 --> 00:18:44,280 Speaker 1: How do you get it? Go to X chairclay dot 335 00:18:44,280 --> 00:18:47,520 Speaker 1: com right now. That's the letter X chairclay dot com. 336 00:18:47,560 --> 00:18:50,240 Speaker 1: You can also call one eight four four four X 337 00:18:50,320 --> 00:18:55,040 Speaker 1: chair hundred dollars off your order, thirty day guarantee X 338 00:18:55,119 --> 00:19:03,399 Speaker 1: chairclay dot com. Sign up today. Welcome back in Glay, 339 00:19:03,560 --> 00:19:07,400 Speaker 1: Travis buck Sexton Show. I hate to be the bearer 340 00:19:07,400 --> 00:19:11,160 Speaker 1: of bad news, but we told you this was going 341 00:19:11,200 --> 00:19:13,480 Speaker 1: to happen. Some of you out there say, I don't 342 00:19:13,480 --> 00:19:17,240 Speaker 1: know why you guys keep fighting battles over COVID masking 343 00:19:17,280 --> 00:19:20,720 Speaker 1: and everything else, move on to other issues. And what 344 00:19:20,760 --> 00:19:24,320 Speaker 1: I'm here to say is they're not going to let 345 00:19:24,400 --> 00:19:29,040 Speaker 1: go of COVID. They aren't. We are going to have 346 00:19:29,240 --> 00:19:33,920 Speaker 1: to kick their ass so bad in November that they 347 00:19:34,080 --> 00:19:38,720 Speaker 1: don't have any other options because they are going to 348 00:19:38,840 --> 00:19:42,840 Speaker 1: hold on to COVID with every fiber of their being. 349 00:19:43,359 --> 00:19:46,400 Speaker 1: And COVID restrictions are not going away, even if they 350 00:19:46,440 --> 00:19:51,800 Speaker 1: temporarily disappear, They're always there looming in the background. Doctor 351 00:19:51,840 --> 00:19:56,840 Speaker 1: Fauci is the is the villain that is hiding underneath 352 00:19:56,880 --> 00:19:59,800 Speaker 1: your bed. He's the Boogeyman. He's not ever going away. 353 00:20:00,119 --> 00:20:03,600 Speaker 1: He's gonna pop up smurflike with a mask on, yelling 354 00:20:03,640 --> 00:20:06,280 Speaker 1: at you no matter what. And I hate to say it, 355 00:20:06,800 --> 00:20:10,240 Speaker 1: but if you're listening in the Philadelphia area, they just 356 00:20:10,440 --> 00:20:14,840 Speaker 1: announced in the last fifteen minutes that they are bringing 357 00:20:14,880 --> 00:20:18,960 Speaker 1: back their mask mandate. And now the question is going 358 00:20:19,040 --> 00:20:23,440 Speaker 1: to be buck will Washington, d C? Follow? Will New 359 00:20:23,520 --> 00:20:27,679 Speaker 1: York City follow La San Francisco, Seattle where we have 360 00:20:27,720 --> 00:20:31,280 Speaker 1: a new affiliate, sorry Seattle people, to bring you this news. 361 00:20:31,840 --> 00:20:35,920 Speaker 1: When left wing cities start to make a move like this, 362 00:20:36,440 --> 00:20:40,240 Speaker 1: what has been the pattern is other left wing cities 363 00:20:40,280 --> 00:20:43,520 Speaker 1: follow right along, Washington, d C. Just a little bit 364 00:20:43,600 --> 00:20:46,679 Speaker 1: south of Philly, New York City just a little bit north. 365 00:20:47,160 --> 00:20:51,320 Speaker 1: The mayors of those places Bowser in DC and Adams 366 00:20:51,359 --> 00:20:54,600 Speaker 1: in New York City buck, you know, they get jealous 367 00:20:54,640 --> 00:20:58,000 Speaker 1: of their of their restrictive counterpart in Philly. Let's also 368 00:20:58,920 --> 00:21:02,359 Speaker 1: they know that by compare Harrison, right, if you're London breed, 369 00:21:02,480 --> 00:21:08,080 Speaker 1: if you're Eric Adams, if you're um Lori lightfoot, or uh, 370 00:21:08,480 --> 00:21:13,280 Speaker 1: what's the Garcetti? And still look, well we spent a 371 00:21:13,280 --> 00:21:15,040 Speaker 1: lot of time, we got a lot of mayors. Now, yeah, 372 00:21:15,119 --> 00:21:18,520 Speaker 1: but garcetti if you're any of these mayors. And after 373 00:21:18,560 --> 00:21:21,560 Speaker 1: the Philly mayor shuts down or I shouldn't they shuts down, 374 00:21:21,560 --> 00:21:25,600 Speaker 1: but implements masking. Again, it's like, hey, do you not 375 00:21:25,680 --> 00:21:29,080 Speaker 1: take the virus seriously? You know? That's that then becomes 376 00:21:29,280 --> 00:21:31,679 Speaker 1: the logic of the position, which is why the dominoes 377 00:21:31,720 --> 00:21:35,680 Speaker 1: for the Democrats, for this lunacy keep falling, because that's 378 00:21:35,680 --> 00:21:39,200 Speaker 1: why comparison. You don't if you've been a lockdowner all along, 379 00:21:39,520 --> 00:21:41,960 Speaker 1: why take the heat now when others are already taking 380 00:21:42,040 --> 00:21:46,760 Speaker 1: more restrictive measures, And they continue with all the ridiculous lies. 381 00:21:46,880 --> 00:21:50,320 Speaker 1: We just played you Saki trying to blame Vladimir Putin 382 00:21:50,440 --> 00:21:55,960 Speaker 1: for inflation in the United States. Well, the Putin price hike, 383 00:21:56,400 --> 00:22:01,840 Speaker 1: as she said, Also, Kamala Harris wasn't wearing her mask indoors, 384 00:22:02,280 --> 00:22:06,880 Speaker 1: and as with other Democrats who were caught violating their 385 00:22:06,960 --> 00:22:11,000 Speaker 1: own rules, there's always an excuse. In this case. It 386 00:22:11,080 --> 00:22:15,240 Speaker 1: was a really historic moment. Guys. Remember the photos get taken. Oh, well, 387 00:22:15,280 --> 00:22:19,000 Speaker 1: I was just for a photo. All of the lies 388 00:22:19,080 --> 00:22:22,880 Speaker 1: continue to build. The COVID hypocrisy doesn't die here. Saki 389 00:22:23,000 --> 00:22:26,520 Speaker 1: defending Kamala, he said on Friday that the Vice president 390 00:22:26,640 --> 00:22:30,080 Speaker 1: was masked indoors all day, but the White House tweeted 391 00:22:30,119 --> 00:22:33,520 Speaker 1: a video showing her standing over the president the out 392 00:22:33,520 --> 00:22:37,000 Speaker 1: a mask on an you explaining what happened there. Well, 393 00:22:37,040 --> 00:22:39,400 Speaker 1: I would say that the Vice President and the President 394 00:22:39,440 --> 00:22:42,680 Speaker 1: and all of us abide by what the CDC protocols are. 395 00:22:42,960 --> 00:22:46,040 Speaker 1: It was an emotional day, it was a historic day, 396 00:22:46,160 --> 00:22:48,600 Speaker 1: and there were moments when she was not wearing a 397 00:22:48,640 --> 00:22:51,399 Speaker 1: mask inside, including in a photo. But she was wearing 398 00:22:51,400 --> 00:22:54,040 Speaker 1: at ninety nine point nine percent of the time. Clay, 399 00:22:54,119 --> 00:22:56,960 Speaker 1: excuse me. The virus knows that, like when really important 400 00:22:57,000 --> 00:23:00,919 Speaker 1: people are taking like really important photos. The virus is like, 401 00:23:01,040 --> 00:23:02,880 Speaker 1: hold on a second, like, I don't want to mess 402 00:23:02,960 --> 00:23:08,359 Speaker 1: that up. I mean, imagine knowing every moment. That is 403 00:23:08,400 --> 00:23:12,439 Speaker 1: her answer. By the way, every moment in that of 404 00:23:12,520 --> 00:23:16,440 Speaker 1: public availability, there is going to be footage to reflect 405 00:23:16,480 --> 00:23:18,800 Speaker 1: whether you had a mask on or not. So when 406 00:23:18,840 --> 00:23:22,480 Speaker 1: Saki lied and said, oh, Kamala Harris had a mask 407 00:23:22,560 --> 00:23:25,439 Speaker 1: on the entire time, and then all you have to 408 00:23:25,480 --> 00:23:28,280 Speaker 1: do is just go, well, actually, look at this photo, 409 00:23:28,359 --> 00:23:33,080 Speaker 1: look at this video. It's the willfulness of the wise. 410 00:23:34,560 --> 00:23:38,320 Speaker 1: They are not afraid of COVID, right, they aren't afraid 411 00:23:38,359 --> 00:23:41,240 Speaker 1: even Biden, who probably should be afraid because he's seventy 412 00:23:41,320 --> 00:23:43,520 Speaker 1: nine years old. Now, I will give Biden credit here 413 00:23:43,920 --> 00:23:47,560 Speaker 1: if they're being honest, how is it bucked that every 414 00:23:47,680 --> 00:23:52,080 Speaker 1: other White House official but Biden has gotten COVID? Does 415 00:23:52,160 --> 00:23:56,000 Speaker 1: Biden have the greatest, uh, the greatest immune system on 416 00:23:56,040 --> 00:23:59,760 Speaker 1: the planet? Is kind of kind of ridiculous. Saki's tested 417 00:23:59,760 --> 00:24:04,840 Speaker 1: positive twice. It feels like every other White House official 418 00:24:05,280 --> 00:24:09,359 Speaker 1: has tested positive, not even once, multiple times, and suddenly 419 00:24:09,440 --> 00:24:12,640 Speaker 1: Biden and somehow Biden still has not tested positive. But 420 00:24:13,080 --> 00:24:15,320 Speaker 1: if anybody in the White House, we're going to be 421 00:24:15,400 --> 00:24:19,080 Speaker 1: nervous about COVID. It should be Joe Biden, who's seventy 422 00:24:19,160 --> 00:24:22,560 Speaker 1: nine years old and statistically would be at a far 423 00:24:22,800 --> 00:24:28,520 Speaker 1: higher rate of danger than almost anyone else in politics 424 00:24:28,560 --> 00:24:31,480 Speaker 1: other than Nancy Pelosi, by the way, who already has 425 00:24:31,520 --> 00:24:35,080 Speaker 1: recovered from COVID and had no issues whatsoever. I just 426 00:24:35,160 --> 00:24:37,760 Speaker 1: think that there's also in the background of all this, Clay, 427 00:24:37,800 --> 00:24:41,479 Speaker 1: looking at what I said before, I really mean, the 428 00:24:41,520 --> 00:24:45,600 Speaker 1: Democrats are not gonna go down without the dirtiest fight 429 00:24:45,680 --> 00:24:47,879 Speaker 1: possible in this mid term. So everyone needs to be 430 00:24:48,040 --> 00:24:49,880 Speaker 1: This is why we keep saying it's looking good, folks, 431 00:24:49,920 --> 00:24:51,800 Speaker 1: it's looking good because who wants you to be motivated? 432 00:24:52,200 --> 00:24:54,680 Speaker 1: But they're gonna do everything they can to pull out 433 00:24:54,680 --> 00:24:58,119 Speaker 1: at least enough key races that they can say that 434 00:24:58,200 --> 00:25:01,600 Speaker 1: it was not a repudiation. Wasn't that big? Remember, as 435 00:25:01,640 --> 00:25:04,920 Speaker 1: Clay has been saying, we need or reckoning a red wedding, 436 00:25:05,240 --> 00:25:08,720 Speaker 1: an absolute butt kicking. Can I say the a word 437 00:25:09,080 --> 00:25:11,600 Speaker 1: that we could say, ask kicking. I could be asking 438 00:25:11,680 --> 00:25:14,879 Speaker 1: about oh, well, hello, okay, and ask kicking, Oh that 439 00:25:14,920 --> 00:25:18,880 Speaker 1: felt good? Um? We need that this fall or else 440 00:25:19,240 --> 00:25:20,600 Speaker 1: even want to do the Bill Marshaw. I know I 441 00:25:20,600 --> 00:25:22,159 Speaker 1: can curse, I could even f bomb, and I'm like, 442 00:25:22,200 --> 00:25:24,440 Speaker 1: I can't, it's not with the people listening. And then 443 00:25:24,440 --> 00:25:27,760 Speaker 1: of course off air, I'm like, you know, bleepity, bleep, bleep. Anyway, 444 00:25:28,400 --> 00:25:31,440 Speaker 1: we need that, But Clay, we also need to understand 445 00:25:31,920 --> 00:25:36,040 Speaker 1: how COVID plays into the strategy. And I think that 446 00:25:36,119 --> 00:25:39,600 Speaker 1: as long as they keep some of the COVID rituals, 447 00:25:39,600 --> 00:25:42,280 Speaker 1: because that's what they are in place, you're gonna see 448 00:25:42,280 --> 00:25:46,399 Speaker 1: pushes for mail in balloting. You're gonna see pushes for 449 00:25:46,520 --> 00:25:49,879 Speaker 1: expanded voter times. All the different games they played the 450 00:25:49,960 --> 00:25:52,720 Speaker 1: last time to give them an edge. They're gonna do 451 00:25:52,840 --> 00:25:55,600 Speaker 1: the exact same stuff they're trying to pass. So what 452 00:25:55,640 --> 00:25:57,520 Speaker 1: does an HR one? I mean, they've tried to codify 453 00:25:57,560 --> 00:26:00,760 Speaker 1: it on the law, but they'll use emerging see measures 454 00:26:00,760 --> 00:26:03,760 Speaker 1: where they have a Democrat governor in a purple state, etc. 455 00:26:04,680 --> 00:26:07,080 Speaker 1: To basically try to tilt the playing field to them 456 00:26:07,119 --> 00:26:11,040 Speaker 1: again to cheat, but to cheat but within the rules 457 00:26:11,119 --> 00:26:13,200 Speaker 1: or within plausible rules, you know what I mean. The 458 00:26:13,400 --> 00:26:16,200 Speaker 1: great area, Yeah, the gray area of the law is 459 00:26:16,200 --> 00:26:17,719 Speaker 1: what they're going to try to take advantage of. And 460 00:26:17,720 --> 00:26:21,080 Speaker 1: there's a great piece by the way out today saying 461 00:26:21,240 --> 00:26:22,760 Speaker 1: and I know we got a lot of listeners in 462 00:26:22,800 --> 00:26:24,359 Speaker 1: each of these six states. I'm gonna try to get 463 00:26:24,400 --> 00:26:26,320 Speaker 1: it right. We'll talk about it maybe a little bit tomorrow, 464 00:26:26,320 --> 00:26:28,239 Speaker 1: because we had so many stories to hit today. I mean, 465 00:26:28,240 --> 00:26:29,840 Speaker 1: I got a list here. We barely got through half 466 00:26:29,840 --> 00:26:31,360 Speaker 1: of them. We got so much going on right now. 467 00:26:32,200 --> 00:26:36,119 Speaker 1: The twenty twenty two election buck and the twenty twenty 468 00:26:36,119 --> 00:26:39,840 Speaker 1: four elections gonna come down to six states. That's it, right, 469 00:26:39,920 --> 00:26:44,080 Speaker 1: They're basically six states that are going to determine whether 470 00:26:44,280 --> 00:26:50,040 Speaker 1: or not we have a Democratic or a Republican Senate, 471 00:26:50,320 --> 00:26:52,959 Speaker 1: whether we have what happens in the South, and who 472 00:26:52,960 --> 00:26:55,720 Speaker 1: wins the presidential election in twenty twenty four. And those 473 00:26:55,720 --> 00:26:59,240 Speaker 1: six states, not surprisingly a lot of you can spend time, 474 00:26:59,280 --> 00:27:02,560 Speaker 1: you've thought about, you've analyzed it, But these six states, 475 00:27:02,640 --> 00:27:04,840 Speaker 1: everybody who's listening out there, everybody needs to make a 476 00:27:04,880 --> 00:27:07,480 Speaker 1: reckoning in twenty twenty two. But if you live in 477 00:27:07,520 --> 00:27:14,760 Speaker 1: these six states, Arizona, Georgia, Michigan, Pennsylvania, Wisconsin, and Nevada, 478 00:27:14,880 --> 00:27:17,400 Speaker 1: if you live in those six states right now, you 479 00:27:17,440 --> 00:27:20,800 Speaker 1: are going to decide the trajectory of our country in 480 00:27:20,800 --> 00:27:23,480 Speaker 1: twenty twenty two and twenty twenty four. Now, everybody else 481 00:27:23,840 --> 00:27:26,440 Speaker 1: in the other forty four states, you guys are going 482 00:27:26,480 --> 00:27:29,720 Speaker 1: to have a substantial impact as well, and it's important 483 00:27:29,720 --> 00:27:31,840 Speaker 1: for you to go out and vote. But those are 484 00:27:31,880 --> 00:27:34,919 Speaker 1: the six states that are going to decide Congress in 485 00:27:34,960 --> 00:27:38,920 Speaker 1: November and the presidential election in twenty twenty four. At 486 00:27:38,920 --> 00:27:45,240 Speaker 1: the upper at the most important level, Arizona, Georgia, Michigan, Pennsylvania, Wisconsin, Nevada. 487 00:27:45,280 --> 00:27:47,359 Speaker 1: We love all of you, but we particularly love you 488 00:27:47,400 --> 00:27:49,760 Speaker 1: if you live in those six states because you are 489 00:27:49,760 --> 00:27:52,119 Speaker 1: going to be deciding a lot. Clay is picking favorites 490 00:27:52,200 --> 00:27:54,480 Speaker 1: right now. I'm picking favorites right now. I don't like 491 00:27:54,520 --> 00:27:56,560 Speaker 1: to pick my favorites. But if you live in those 492 00:27:56,560 --> 00:27:59,160 Speaker 1: six states, you matter a little bit more. And by 493 00:27:59,160 --> 00:28:02,280 Speaker 1: the way, we're number one in Phoenix, We're number one 494 00:28:03,400 --> 00:28:06,400 Speaker 1: in Milwaukee, and we're number one in Las Vegas. Those 495 00:28:06,440 --> 00:28:08,640 Speaker 1: are three big markets that are going to have a 496 00:28:08,760 --> 00:28:12,320 Speaker 1: massive impact. Georgia, huge audience, Michigan and Pennsylvania as well. 497 00:28:12,600 --> 00:28:16,000 Speaker 1: But those three big markets, you guys listening right now, 498 00:28:16,560 --> 00:28:20,640 Speaker 1: get ready to matter on a different level. We got 499 00:28:20,640 --> 00:28:23,320 Speaker 1: to get people out to the polls, all right. When 500 00:28:23,400 --> 00:28:25,520 Speaker 1: we come back, we'll close out the show. We appreciate 501 00:28:25,560 --> 00:28:27,280 Speaker 1: all of you who've been hanging out with us all 502 00:28:27,280 --> 00:28:30,200 Speaker 1: throughout the show with so many different news stories that 503 00:28:30,240 --> 00:28:31,840 Speaker 1: we have been chasing. But I want to tell you 504 00:28:32,080 --> 00:28:36,040 Speaker 1: as we roll out here that look, it's always a 505 00:28:36,080 --> 00:28:39,920 Speaker 1: busy time around tax season for everybody, especially gets stressful. 506 00:28:39,960 --> 00:28:43,479 Speaker 1: If you fall victim to fake IRS calls, everything worse 507 00:28:43,960 --> 00:28:46,680 Speaker 1: hardly than tax season. The only thing worse maybe a 508 00:28:46,680 --> 00:28:49,880 Speaker 1: fake IRS call where somebody is trying to get you 509 00:28:50,360 --> 00:28:53,240 Speaker 1: to give them your information so they can take advantage 510 00:28:53,240 --> 00:28:56,120 Speaker 1: of you. It's one of many reasons why you need LifeLock. 511 00:28:56,360 --> 00:29:00,880 Speaker 1: LifeLock will help ensure that your information isn't out there 512 00:29:00,880 --> 00:29:04,240 Speaker 1: on the web now. No one can prevent all identity 513 00:29:04,280 --> 00:29:08,200 Speaker 1: theft or monitor every transaction at all businesses. Nobody can 514 00:29:08,240 --> 00:29:11,680 Speaker 1: do that, but you can help protect what you've worked 515 00:29:11,720 --> 00:29:15,440 Speaker 1: so hard for. What is yours? With LifeLock by Norton. 516 00:29:15,920 --> 00:29:18,920 Speaker 1: Join now and save up to twenty five percent off 517 00:29:18,960 --> 00:29:23,400 Speaker 1: your first year by using the promo code Clay. Call 518 00:29:23,640 --> 00:29:27,920 Speaker 1: one eight hundred LifeLock, or go online to LifeLock dot 519 00:29:27,960 --> 00:29:31,800 Speaker 1: com and use the promo code Clay for twenty five 520 00:29:31,880 --> 00:29:35,600 Speaker 1: percent off again. Do it today. A lot of irs 521 00:29:35,680 --> 00:29:39,520 Speaker 1: scams floating around. Do not allow yourself to be taken 522 00:29:39,520 --> 00:29:43,200 Speaker 1: advantage of Sign up today for LifeLock by going one 523 00:29:43,240 --> 00:29:47,040 Speaker 1: more time to make sure that you protect what's yours 524 00:29:47,440 --> 00:29:50,920 Speaker 1: one eight hundred LifeLock. You can also go online at 525 00:29:51,000 --> 00:29:54,960 Speaker 1: LifeLock dot com using the promo code CLA why that 526 00:29:55,080 --> 00:30:03,120 Speaker 1: is my name? Do it today? Welcome back into the 527 00:30:03,200 --> 00:30:05,720 Speaker 1: Clay and Buck Show. We are going to be closing 528 00:30:05,800 --> 00:30:07,920 Speaker 1: up shop here today, but we are so excited to 529 00:30:07,920 --> 00:30:10,880 Speaker 1: get a chance to talk to all of you tomorrow. 530 00:30:10,880 --> 00:30:13,440 Speaker 1: I want to say thanks again. As Clay mentioned to 531 00:30:13,520 --> 00:30:18,760 Speaker 1: our new mega affiliate in Seattle ten ninety, the Patriot. 532 00:30:19,120 --> 00:30:21,640 Speaker 1: Think about this lineup, folks, Glenn Beck, Clay, Travis Buck, 533 00:30:21,680 --> 00:30:25,960 Speaker 1: Sexton Show, Sean Hannity Show, Jesse Kelly, O Man, Jesse Kelly. 534 00:30:26,000 --> 00:30:27,440 Speaker 1: I think it's gonna be with us on Friday to 535 00:30:27,520 --> 00:30:30,800 Speaker 1: just come by checkout, so hide all the folks, and 536 00:30:30,840 --> 00:30:34,719 Speaker 1: we're gonna be on nine nine am Pacific time. It's 537 00:30:34,760 --> 00:30:38,000 Speaker 1: gonna be fantastic Seattle up. There gonna be a little 538 00:30:38,040 --> 00:30:42,800 Speaker 1: bit of audio freedom. Audio I just spread across the 539 00:30:43,160 --> 00:30:46,880 Speaker 1: northwest Pacific. Northwest a beautiful place overrun by commies right now, 540 00:30:46,960 --> 00:30:50,600 Speaker 1: unfortunely fantastic place, Mariner Stadium, right downtown Seattle. I've been 541 00:30:50,640 --> 00:30:53,440 Speaker 1: up there with my family, went up from drove from 542 00:30:53,560 --> 00:30:56,160 Speaker 1: Seattle all the way up to Vancouver. Beautiful place to be, 543 00:30:56,280 --> 00:30:58,800 Speaker 1: especially in the summer. We had an incredible time. But 544 00:30:58,920 --> 00:31:01,040 Speaker 1: I know there are a lot of people listening to 545 00:31:01,120 --> 00:31:03,600 Speaker 1: us right down in Seattle, all over the Pacific Northwest, 546 00:31:03,920 --> 00:31:06,959 Speaker 1: many different cities all over the country who feel like 547 00:31:07,000 --> 00:31:09,840 Speaker 1: they are behind enemy lines because they're looking at what's 548 00:31:09,880 --> 00:31:13,520 Speaker 1: going on and they're just in disbelief over how crazy 549 00:31:13,600 --> 00:31:15,800 Speaker 1: so much of it is. And Seattle is one of 550 00:31:15,800 --> 00:31:18,320 Speaker 1: those cities that really fell apart in the summer of 551 00:31:18,320 --> 00:31:21,880 Speaker 1: twenty twenty. On a different level, to all of our 552 00:31:22,320 --> 00:31:25,680 Speaker 1: current and future Seattle listeners, you're not alone. You're now 553 00:31:25,840 --> 00:31:28,880 Speaker 1: part of the Clay and Buck fam all across the country. 554 00:31:29,000 --> 00:31:32,200 Speaker 1: So we will be making sure that you can have 555 00:31:32,320 --> 00:31:36,120 Speaker 1: a place of sanity in an insane world when you 556 00:31:36,160 --> 00:31:38,480 Speaker 1: listen to the show every day. A little shelter from 557 00:31:38,480 --> 00:31:40,640 Speaker 1: the crazy, that's what we give, you know, the shelter 558 00:31:40,720 --> 00:31:42,680 Speaker 1: from the storm, Shelter from the crazy, that's what we promote. 559 00:31:42,720 --> 00:31:49,080 Speaker 1: That's right ray in what's the Massachusetts What's going on ray. Hey, guys, 560 00:31:49,080 --> 00:31:50,720 Speaker 1: I was just wondering if you're going to come up 561 00:31:50,760 --> 00:31:53,479 Speaker 1: to the Philly A w tag up this way on 562 00:31:53,560 --> 00:31:57,840 Speaker 1: June eleventh to come in and uh welcome doctor Fauci 563 00:31:57,920 --> 00:32:03,360 Speaker 1: for his the naming of a building after him. Are 564 00:32:03,360 --> 00:32:06,040 Speaker 1: you they're naming a building after Fauci? Is it an 565 00:32:06,040 --> 00:32:10,840 Speaker 1: out the science building? Right? It's the new medical building 566 00:32:10,920 --> 00:32:14,840 Speaker 1: something or other crossover which kind of fits with him, right. 567 00:32:14,960 --> 00:32:17,560 Speaker 1: It really should be a sewage treatment facility of some kind. 568 00:32:17,680 --> 00:32:22,240 Speaker 1: But nonetheless, I'm anti pulling names off buildings, but I'm 569 00:32:22,440 --> 00:32:25,680 Speaker 1: one hundred percent before this building is even officially named, 570 00:32:25,960 --> 00:32:28,160 Speaker 1: I think they're going to end up questioning this choice, 571 00:32:28,160 --> 00:32:30,520 Speaker 1: should you be fair? I think that naming a supermax 572 00:32:30,600 --> 00:32:32,719 Speaker 1: prison after Fauci, because that's what he'd like to do 573 00:32:32,760 --> 00:32:34,840 Speaker 1: to all of us for having a sniffle, I think 574 00:32:34,880 --> 00:32:37,320 Speaker 1: that would make sense. So the Fauci Supermax for the 575 00:32:37,360 --> 00:32:39,600 Speaker 1: worst criminals in the world. I'd be like, you, guys, 576 00:32:39,600 --> 00:32:41,760 Speaker 1: don't want to go to the Fauci, and that would 577 00:32:41,800 --> 00:32:44,880 Speaker 1: be scary to anybody. I will also point out buck 578 00:32:45,200 --> 00:32:49,920 Speaker 1: Faucci has said zero not a about the lockdowns in Shanghai, 579 00:32:50,560 --> 00:32:52,719 Speaker 1: isn't it I mean for that he won't come on 580 00:32:52,800 --> 00:32:55,040 Speaker 1: this show. As we've talked about before, at this we 581 00:32:55,280 --> 00:32:57,240 Speaker 1: kind of understand. We've both said he's pretty much the 582 00:32:57,240 --> 00:33:01,640 Speaker 1: worst person in America. So yeah, well, I mean that's accurate. 583 00:33:01,880 --> 00:33:04,560 Speaker 1: But we have a lot of media that listen. I 584 00:33:04,560 --> 00:33:08,400 Speaker 1: would love to know what Fauci thinks about the lockdowns 585 00:33:08,440 --> 00:33:13,080 Speaker 1: going on in Shanghai. Ask somebody out there. We have 586 00:33:13,120 --> 00:33:15,840 Speaker 1: a lot of, like I said, media listeners, I would 587 00:33:15,880 --> 00:33:19,120 Speaker 1: love for somebody to ask Fauci, hey, do you agree 588 00:33:19,200 --> 00:33:21,960 Speaker 1: with what China is doing right now where they have 589 00:33:22,080 --> 00:33:25,120 Speaker 1: locked down everyone in Shanghai for the past week. Is 590 00:33:25,160 --> 00:33:28,200 Speaker 1: that the right choice? Is that the wrong choice? Is 591 00:33:28,240 --> 00:33:30,840 Speaker 1: it too much? I would love for Fauci to have 592 00:33:30,840 --> 00:33:33,920 Speaker 1: to answer that question, because he seems more intent on 593 00:33:34,040 --> 00:33:40,360 Speaker 1: defending China than he does on actually talking honestly to 594 00:33:40,400 --> 00:33:42,560 Speaker 1: the American at this point out, you know, kind of embarrassing. 595 00:33:42,760 --> 00:33:44,760 Speaker 1: One of my party didn't mean to step on either, 596 00:33:44,800 --> 00:33:48,120 Speaker 1: but one of my criticisms of Fauci Clay has always 597 00:33:48,120 --> 00:33:51,600 Speaker 1: been he never says they've gone too far, and this 598 00:33:51,640 --> 00:33:53,880 Speaker 1: would be such an obvious you know, he doesn't say 599 00:33:54,000 --> 00:33:58,280 Speaker 1: double masking Tiny Toddler's outside with their little fingers turning 600 00:33:58,400 --> 00:34:01,920 Speaker 1: blue from the cold. We probably shouldn't do that. Like, 601 00:34:01,960 --> 00:34:05,280 Speaker 1: he never says that, yeah, this would be an opportunity 602 00:34:05,280 --> 00:34:07,360 Speaker 1: for im to say, guys, this is the public health establishment, 603 00:34:07,440 --> 00:34:10,400 Speaker 1: run a market. But he can't and won't in his 604 00:34:10,440 --> 00:34:13,200 Speaker 1: own mind. I think because he realizes once you start 605 00:34:13,239 --> 00:34:16,600 Speaker 1: to establish there's such a thing as taking the virus 606 00:34:16,880 --> 00:34:20,399 Speaker 1: too seriously, the peasants may get ideas of their own. 607 00:34:21,160 --> 00:34:23,280 Speaker 1: And the same thing could be said about New York City, 608 00:34:23,400 --> 00:34:26,080 Speaker 1: where two year old to four year old little kids 609 00:34:26,360 --> 00:34:29,160 Speaker 1: are having to wear masks. Right now, I would love 610 00:34:29,160 --> 00:34:31,759 Speaker 1: to know whether Fauci thinks it makes sense that in 611 00:34:31,800 --> 00:34:34,719 Speaker 1: New York City the only people wearing masks or two 612 00:34:34,719 --> 00:34:36,640 Speaker 1: to four year olds. Now, the way he may get 613 00:34:36,640 --> 00:34:38,600 Speaker 1: out of that question buck is by saying, well, no, 614 00:34:38,719 --> 00:34:41,320 Speaker 1: I think that New York City needs to consider everybody 615 00:34:41,360 --> 00:34:44,759 Speaker 1: wearing masks, So that way he's dodging though whether two 616 00:34:44,840 --> 00:34:47,040 Speaker 1: to four year olds wearing masks makes sense. But New 617 00:34:47,120 --> 00:34:50,319 Speaker 1: York City Mayor Eric Adams in New York City has 618 00:34:50,320 --> 00:34:55,240 Speaker 1: actually made the supremely illogical decision to require the people 619 00:34:55,280 --> 00:34:58,080 Speaker 1: that are at the least risk from COVID to be 620 00:34:58,160 --> 00:35:01,400 Speaker 1: the only people wearing masks, and by the way, also 621 00:35:01,520 --> 00:35:03,879 Speaker 1: kids who are If you ever had a two year old, 622 00:35:04,239 --> 00:35:06,120 Speaker 1: it's impossible to get a two year old to do 623 00:35:06,200 --> 00:35:09,000 Speaker 1: anything that they don't want to do, much less wear 624 00:35:09,000 --> 00:35:11,080 Speaker 1: a mask. I mean, we talked about snot nosed kids 625 00:35:11,080 --> 00:35:14,080 Speaker 1: for a reason. These kids are. The idea that a 626 00:35:14,080 --> 00:35:16,480 Speaker 1: two year old wearing a mask is somehow making anyone 627 00:35:16,600 --> 00:35:20,759 Speaker 1: safer doing anything other than driving the parents or the 628 00:35:20,840 --> 00:35:25,680 Speaker 1: caregivers crazy is patently absurd. I also can just say 629 00:35:25,880 --> 00:35:29,600 Speaker 1: from my own experience as an adult that when people 630 00:35:29,840 --> 00:35:32,320 Speaker 1: mask me up and I don't want to be masked, 631 00:35:32,400 --> 00:35:35,840 Speaker 1: I get agitated, and I will not even say on 632 00:35:35,920 --> 00:35:37,560 Speaker 1: the air some of the thoughts that I begin to have, 633 00:35:37,680 --> 00:35:39,520 Speaker 1: like what I'm told you better mask up or else. 634 00:35:40,080 --> 00:35:44,160 Speaker 1: It creates anxiety. You can't breathe normally. The long term 635 00:35:44,200 --> 00:35:48,080 Speaker 1: impact on children is unknown and unknowable at this point, 636 00:35:48,440 --> 00:35:51,239 Speaker 1: but we know it's negative, and I think we're gonna 637 00:35:51,239 --> 00:35:53,280 Speaker 1: find out it's actually a lot worse than people realize. 638 00:35:53,320 --> 00:35:55,440 Speaker 1: I think we're gonna find out that this is creating 639 00:35:55,840 --> 00:35:59,840 Speaker 1: some serious long term consequences for the mental health and 640 00:36:00,040 --> 00:36:03,600 Speaker 1: stability of an entire generation of small children. I don't 641 00:36:03,600 --> 00:36:06,480 Speaker 1: think there's any doubt at all about that. Unfortunately, and 642 00:36:07,160 --> 00:36:11,560 Speaker 1: what we're seeing in terms of the impact of children 643 00:36:12,440 --> 00:36:15,359 Speaker 1: from people who claim that they care about equity and 644 00:36:15,600 --> 00:36:18,320 Speaker 1: equality and they want to make sure that everybody has 645 00:36:18,400 --> 00:36:21,759 Speaker 1: an equal chance, Well, we've managed to ensure that the 646 00:36:21,840 --> 00:36:24,720 Speaker 1: kids who have the most that they have lost during 647 00:36:24,760 --> 00:36:27,120 Speaker 1: COVID were the kids that are the poorest, that are 648 00:36:27,160 --> 00:36:30,719 Speaker 1: the most disadvantaged, and that have the least opportunity to 649 00:36:30,880 --> 00:36:35,279 Speaker 1: compete on a fair playing field. Democrats have overwhelmingly, through 650 00:36:35,320 --> 00:36:38,000 Speaker 1: the teachers Union, dragged all these kids down. I mean 651 00:36:38,040 --> 00:36:41,760 Speaker 1: it to me is borderline criminal behavior that we've allowed 652 00:36:41,760 --> 00:36:44,239 Speaker 1: this to happen. And I appreciate our guest who was 653 00:36:44,320 --> 00:36:48,360 Speaker 1: on earlier, Casey Mulligan, for putting that data out about 654 00:36:48,400 --> 00:36:50,799 Speaker 1: the places and the states that did the best from 655 00:36:50,800 --> 00:36:54,360 Speaker 1: a health, from a schooling, and from an economic perspective. 656 00:36:54,600 --> 00:36:58,520 Speaker 1: Fantastic stuff. Go check it out at clayinbuck dot com. 657 00:36:59,520 --> 00:37:03,560 Speaker 1: Sleeps Rabbis sent Buck Sexton on the front lines of 658 00:37:03,719 --> 00:37:04,040 Speaker 1: truth