1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and Buck 2 00:00:03,360 --> 00:00:07,720 Speaker 1: Sexton Show podcast. Welcome back in our number two Tuesday 3 00:00:07,840 --> 00:00:11,160 Speaker 1: edition Clay Travis Buck Sexton Show. Encourage you to go 4 00:00:11,400 --> 00:00:14,000 Speaker 1: sign up for the podcast. Help us set another all 5 00:00:14,040 --> 00:00:17,599 Speaker 1: time record. As we have now reached the month of February, 6 00:00:17,640 --> 00:00:19,880 Speaker 1: which is a short month, we have fewer days maybe 7 00:00:19,880 --> 00:00:22,160 Speaker 1: a challenge to set a new all time record, but 8 00:00:22,280 --> 00:00:25,360 Speaker 1: we are going to endeavor to do so regardless. Can 9 00:00:25,400 --> 00:00:27,320 Speaker 1: search out my name Clay Travish, you can search out 10 00:00:27,320 --> 00:00:33,000 Speaker 1: Buck Sextons. We were just talking about la and the 11 00:00:33,120 --> 00:00:37,479 Speaker 1: situation there and the good news. By the way, Denver 12 00:00:38,320 --> 00:00:42,080 Speaker 1: has become a left wing city, which, by the way, 13 00:00:42,120 --> 00:00:45,720 Speaker 1: the state of Colorado in general, even though it's blue, 14 00:00:46,080 --> 00:00:49,360 Speaker 1: it seems to have some measure of sanity because the 15 00:00:49,400 --> 00:00:52,280 Speaker 1: governor there, even though he's a Democrat, has been looking 16 00:00:52,320 --> 00:00:56,440 Speaker 1: at the data and less likely to implement mask mandates 17 00:00:56,440 --> 00:01:00,000 Speaker 1: and everything else. Well, Denver is doing away with its 18 00:01:00,080 --> 00:01:04,440 Speaker 1: vaccine mandate and also with its mask mandate. As the 19 00:01:04,520 --> 00:01:08,199 Speaker 1: omicron surge has begun to decline in many different states 20 00:01:08,200 --> 00:01:12,480 Speaker 1: and cities across the country, they say it's no longer necessary. 21 00:01:12,800 --> 00:01:15,280 Speaker 1: I'm gonna get to Gavin Newsom and tee offen him 22 00:01:15,319 --> 00:01:17,400 Speaker 1: on him in a moment. But Buck, if you were 23 00:01:17,440 --> 00:01:20,319 Speaker 1: setting an over under you live in New York City, 24 00:01:20,360 --> 00:01:23,800 Speaker 1: although you are in Miami right now. But if you 25 00:01:23,840 --> 00:01:27,720 Speaker 1: were setting an over under in New York City, when 26 00:01:27,760 --> 00:01:30,800 Speaker 1: do you think the vaccine mandate in order to get 27 00:01:30,840 --> 00:01:34,400 Speaker 1: into restaurants and bars and gems and hot and maybe 28 00:01:34,440 --> 00:01:36,920 Speaker 1: not hotels yet they haven't done that. But when do 29 00:01:36,959 --> 00:01:40,160 Speaker 1: you think the vaccine mandate might cease to exist in 30 00:01:40,200 --> 00:01:42,320 Speaker 1: New York if you were setting an over under of 31 00:01:42,360 --> 00:01:46,640 Speaker 1: a date? I think May, middle of May is when 32 00:01:46,840 --> 00:01:49,360 Speaker 1: New York won't require it. But I want to be 33 00:01:49,480 --> 00:01:53,040 Speaker 1: very clear, and everyone listening to this who has had 34 00:01:53,040 --> 00:01:56,280 Speaker 1: to deal with the Fauchiite lunacy now for almost two years, 35 00:01:56,320 --> 00:02:01,000 Speaker 1: should understand this. Pretty much everywhere they have these restrictions, 36 00:02:01,680 --> 00:02:04,760 Speaker 1: they're going to want to roll them back, and then 37 00:02:04,800 --> 00:02:08,480 Speaker 1: they're going to want to reimplement them and maintain that power. 38 00:02:08,800 --> 00:02:12,440 Speaker 1: So this fight is not over. This fight is not over, 39 00:02:12,480 --> 00:02:14,800 Speaker 1: and one of the only things we can do to 40 00:02:14,960 --> 00:02:19,560 Speaker 1: stop that is to show through an absolute I will 41 00:02:19,639 --> 00:02:23,040 Speaker 1: be disappointed, like I will be frustrated, Clay if we 42 00:02:23,160 --> 00:02:26,200 Speaker 1: go into the midterm election and we see the results 43 00:02:26,440 --> 00:02:31,239 Speaker 1: and the Democrat Party is not humiliated. They deserve humiliation 44 00:02:31,440 --> 00:02:33,920 Speaker 1: for what they have done in state after state and 45 00:02:34,000 --> 00:02:36,120 Speaker 1: to this country. At the federal level, they deserve the 46 00:02:36,160 --> 00:02:39,000 Speaker 1: humiliation of their policies. Now that's not you know, being mean. 47 00:02:39,200 --> 00:02:42,280 Speaker 1: Individuals next door have Biden signs everything, but as a party, 48 00:02:42,639 --> 00:02:46,280 Speaker 1: they deserve to be repudiated and humiliated, and anything short 49 00:02:46,280 --> 00:02:49,320 Speaker 1: of that, given what they've done to this country is insufficient. 50 00:02:49,360 --> 00:02:52,040 Speaker 1: In my mind, I agree. And by the way, I 51 00:02:52,080 --> 00:02:54,920 Speaker 1: think some of the data coming out the tide is 52 00:02:54,960 --> 00:02:59,200 Speaker 1: turning pretty rapidly against these vaccine mandates and mask mandates. 53 00:03:00,000 --> 00:03:03,160 Speaker 1: One month came out with a pole yesterday, I don't 54 00:03:03,200 --> 00:03:04,400 Speaker 1: I think we may have hinted at it, but I 55 00:03:04,440 --> 00:03:07,960 Speaker 1: don't think we mentioned it. Seventy percent overall of Americans 56 00:03:07,960 --> 00:03:09,959 Speaker 1: are ready for COVID to be over and to get 57 00:03:09,960 --> 00:03:14,640 Speaker 1: back to normal, eighty nine percent of Republicans, seventy one 58 00:03:14,720 --> 00:03:17,880 Speaker 1: percent of independence. Think about how big those numbers are. 59 00:03:17,960 --> 00:03:21,679 Speaker 1: Eighty nine percent of Republicans ready to be over with COVID, done, 60 00:03:21,720 --> 00:03:25,680 Speaker 1: with it back to normal, seventy one percent of Independence, 61 00:03:26,639 --> 00:03:30,240 Speaker 1: forty seven percent of Democrats, buck almost half of the 62 00:03:30,280 --> 00:03:32,760 Speaker 1: Democratic Party. Now you can say it's crazy that fifty 63 00:03:32,800 --> 00:03:36,280 Speaker 1: three percent still want there to be COVID restrictions, But 64 00:03:36,760 --> 00:03:39,920 Speaker 1: this is a big tidal wave that Joe Biden is 65 00:03:39,960 --> 00:03:43,280 Speaker 1: staring down, which is why I am of the opinion 66 00:03:43,360 --> 00:03:45,240 Speaker 1: that what they're going to try to do, and I 67 00:03:45,240 --> 00:03:48,920 Speaker 1: think your May main date is not an awful one. 68 00:03:49,080 --> 00:03:54,720 Speaker 1: I think sometime in the late spring early summer they 69 00:03:54,760 --> 00:03:58,720 Speaker 1: are going to try to declare victory over COVID and 70 00:03:58,800 --> 00:04:01,720 Speaker 1: have it recede to the background. Now, this is presuming 71 00:04:01,760 --> 00:04:04,600 Speaker 1: that there's not a brand new variant that Omicron is 72 00:04:04,640 --> 00:04:08,760 Speaker 1: going to crest, probably the deaths attributable to omicron. If 73 00:04:08,800 --> 00:04:11,600 Speaker 1: you look at the data, it appears that omicron overall 74 00:04:11,640 --> 00:04:15,640 Speaker 1: positive tests crested right around January fifteenth, which is interesting 75 00:04:15,880 --> 00:04:20,920 Speaker 1: because I believe January fourteenth was last year's crest of 76 00:04:20,920 --> 00:04:24,560 Speaker 1: of COVID, So January fifteenth of this year, three weeks, 77 00:04:24,880 --> 00:04:28,440 Speaker 1: three weeks to a month, is when typically the overall 78 00:04:28,520 --> 00:04:31,880 Speaker 1: death's crest. So we're talking about right around Valentine's Day 79 00:04:32,240 --> 00:04:34,880 Speaker 1: as being the time when we would potentially peak in 80 00:04:34,920 --> 00:04:37,080 Speaker 1: the number of deaths that are being attributed to COVID. 81 00:04:37,120 --> 00:04:40,640 Speaker 1: All Right, so also tying in with that seventy percent 82 00:04:40,640 --> 00:04:42,760 Speaker 1: of people who are getting ready to get back to normal. 83 00:04:43,040 --> 00:04:45,440 Speaker 1: We know that Gavin Newsom is a liar. We know 84 00:04:45,520 --> 00:04:48,720 Speaker 1: that he is one of the most consistent liars anywhere 85 00:04:48,800 --> 00:04:53,239 Speaker 1: in politics. That even for politicians who lie, Gavin Newsom 86 00:04:53,320 --> 00:04:57,240 Speaker 1: is in a different category with the ferocity with which 87 00:04:57,320 --> 00:05:01,039 Speaker 1: he lies, even when he is caught in blatant wise, 88 00:05:01,040 --> 00:05:03,000 Speaker 1: I want to play this for you. We talked about 89 00:05:03,000 --> 00:05:07,000 Speaker 1: this yesterday. Gavin Newsom. Magic Johnson gets a picture taken 90 00:05:07,000 --> 00:05:10,880 Speaker 1: with Gavin Newsom. By the way, the mayors of LA 91 00:05:11,160 --> 00:05:14,560 Speaker 1: and also of San Francisco not wearing masks. They were 92 00:05:14,600 --> 00:05:18,840 Speaker 1: all together at at the game between the forty nine 93 00:05:18,880 --> 00:05:21,880 Speaker 1: Ers and the Rams. Seventy five eighty thousand people in 94 00:05:22,080 --> 00:05:25,760 Speaker 1: LA watching the NFC Championship game. Gavin Newsom was caught 95 00:05:25,839 --> 00:05:28,120 Speaker 1: without wearing a mask. What did he say when he 96 00:05:28,160 --> 00:05:31,359 Speaker 1: was actually questioned about it? Here's his response. You're correct. 97 00:05:31,400 --> 00:05:35,320 Speaker 1: I was very judicious yesterday, very judicious. And you'll see 98 00:05:35,400 --> 00:05:39,560 Speaker 1: the photo that I did take where Magic was kind 99 00:05:39,680 --> 00:05:42,600 Speaker 1: enough generous enough to ask me for a photograph and 100 00:05:42,680 --> 00:05:44,400 Speaker 1: am I left to hand some mask and I took 101 00:05:44,400 --> 00:05:46,880 Speaker 1: a photo. The rest of the time. I wore it 102 00:05:47,680 --> 00:05:51,640 Speaker 1: as we all should when I had a glass of 103 00:05:51,680 --> 00:05:55,200 Speaker 1: water bar thing and encourage everybody else to do so. 104 00:05:55,520 --> 00:05:59,880 Speaker 1: And that's it, all right. No one believes him, Clay, 105 00:06:00,000 --> 00:06:02,320 Speaker 1: And there's video, right, you tweeted out the video showing 106 00:06:02,880 --> 00:06:05,280 Speaker 1: that he's lying, So just evert understand he's lying. But 107 00:06:05,360 --> 00:06:08,919 Speaker 1: let's also be clear. Democrat voters the state of California, 108 00:06:09,120 --> 00:06:10,760 Speaker 1: they had a chance to show that they think this 109 00:06:10,800 --> 00:06:13,120 Speaker 1: guy's a clown. They didn't take it, so they don't care. 110 00:06:13,240 --> 00:06:15,240 Speaker 1: I think even now if they didn't care, then why 111 00:06:15,240 --> 00:06:18,680 Speaker 1: would they care now that he's a fraud because he 112 00:06:18,800 --> 00:06:21,640 Speaker 1: is part of their team. Gavin Newsom is very much 113 00:06:21,920 --> 00:06:25,760 Speaker 1: a big lib and so they'll excuse his hypocrisy. They'll 114 00:06:25,760 --> 00:06:28,000 Speaker 1: excuse this nonsense. I know. London Breed, the mayor of 115 00:06:28,000 --> 00:06:31,520 Speaker 1: San Francisco. Remember she got caught on video partying in 116 00:06:31,600 --> 00:06:34,359 Speaker 1: a nightclub indoors, which you're trying to get COVID, Like 117 00:06:34,400 --> 00:06:36,920 Speaker 1: that's a pretty good, you know environment for that. You're 118 00:06:36,960 --> 00:06:39,600 Speaker 1: in close quarters and everyone's packed in there. And her 119 00:06:39,600 --> 00:06:42,600 Speaker 1: response was I felt like partying and that was basically it, right, 120 00:06:42,760 --> 00:06:45,320 Speaker 1: And did she get did anyone actually come after her? 121 00:06:45,320 --> 00:06:46,960 Speaker 1: For that in the media, not really. I mean we 122 00:06:47,160 --> 00:06:51,200 Speaker 1: did people that care about some consistency and don't like hypocrisy. 123 00:06:51,520 --> 00:06:53,919 Speaker 1: But for the Libs, now, this has just become a 124 00:06:54,720 --> 00:06:58,320 Speaker 1: for Democrats, this is a political tribal matter, and so 125 00:06:58,400 --> 00:07:01,920 Speaker 1: whoever is on their side, Yeah, they break rules. Yeah 126 00:07:01,960 --> 00:07:05,479 Speaker 1: they don't really mean it, but they're not those misinformation, 127 00:07:05,640 --> 00:07:09,280 Speaker 1: anti vaxer Republicans, so they get away with everything. I mean, 128 00:07:09,520 --> 00:07:12,640 Speaker 1: that's that's what's really I think troubling at this stage 129 00:07:12,760 --> 00:07:16,840 Speaker 1: is that people there's there's a mental illness that has 130 00:07:16,880 --> 00:07:19,640 Speaker 1: really grown. I mean, there's a derangement. Will you talk 131 00:07:19,680 --> 00:07:23,640 Speaker 1: about Trump's arrangement syndrome? Yeah, but I yeah, and that 132 00:07:23,720 --> 00:07:26,600 Speaker 1: was real. There were people for whom there was nothing 133 00:07:26,680 --> 00:07:29,760 Speaker 1: too crazy to say. And I'm talking about not only 134 00:07:30,000 --> 00:07:32,679 Speaker 1: random you know people in the comments section of websites. 135 00:07:32,760 --> 00:07:35,480 Speaker 1: I'm talking about people going on CNN. You could say 136 00:07:35,920 --> 00:07:40,120 Speaker 1: Trump was you know, the the you know, reincarnation of 137 00:07:40,840 --> 00:07:44,400 Speaker 1: Jefferson Davis through a time machine and space lizards and 138 00:07:44,400 --> 00:07:47,600 Speaker 1: they're gonna be over in Russia and on CNN that'd say, 139 00:07:47,600 --> 00:07:49,800 Speaker 1: that's really a student analysis. You've really pulled it all 140 00:07:49,840 --> 00:07:52,080 Speaker 1: together for us today. Thank you so much, sir, maybe 141 00:07:52,080 --> 00:07:55,000 Speaker 1: we should give you a contributor contract. Like they're completely 142 00:07:55,120 --> 00:07:58,280 Speaker 1: insane and and that's what Trump did to them. And 143 00:07:58,320 --> 00:08:03,720 Speaker 1: I think that same inability to separate oneself from the 144 00:08:04,080 --> 00:08:08,200 Speaker 1: political tribe, if you will, of the left that was 145 00:08:09,000 --> 00:08:12,040 Speaker 1: so acute in the Trump era is now with COVID. 146 00:08:12,080 --> 00:08:14,400 Speaker 1: It's the same thing. I mean, how claim we're looking 147 00:08:14,400 --> 00:08:18,520 Speaker 1: at people adults walk around with masked children and they're unmasked. 148 00:08:19,000 --> 00:08:22,720 Speaker 1: Someone explained this to me. I've never heard anyone explain 149 00:08:22,800 --> 00:08:25,360 Speaker 1: how this is anything other than a virtue signal that well, 150 00:08:25,400 --> 00:08:27,320 Speaker 1: I mean, I don't want to breathe through an ninety five, 151 00:08:27,640 --> 00:08:30,480 Speaker 1: but you know, a little six year old PD over here, 152 00:08:30,520 --> 00:08:32,880 Speaker 1: he's going to breathe through an ninety five all day 153 00:08:33,000 --> 00:08:37,520 Speaker 1: long because I'm a good person's child abuse, Yes, all 154 00:08:37,600 --> 00:08:39,400 Speaker 1: of that. And by the way, I just want to 155 00:08:39,440 --> 00:08:43,720 Speaker 1: hammer Gavin Newsom here specifically because maybe some people who 156 00:08:43,760 --> 00:08:47,040 Speaker 1: are potentially going to question him are listening to our show, 157 00:08:47,679 --> 00:08:50,360 Speaker 1: because obviously Gavin Knewsom want to answer any questions from us. 158 00:08:50,400 --> 00:08:53,559 Speaker 1: We played you what he said. There are videos buck 159 00:08:53,800 --> 00:08:57,199 Speaker 1: of him from the Fox broadcast not wearing his mask, 160 00:08:57,600 --> 00:08:59,800 Speaker 1: and this one, I think is the funniest. So they 161 00:08:59,800 --> 00:09:03,000 Speaker 1: have like a bud light photo bud light camera where 162 00:09:03,040 --> 00:09:06,200 Speaker 1: they take a still photo of the entire stadium and 163 00:09:06,240 --> 00:09:09,400 Speaker 1: then you can zoom in and look and see and 164 00:09:09,559 --> 00:09:14,120 Speaker 1: find yourself inside of the inside of the stadium and 165 00:09:14,440 --> 00:09:19,600 Speaker 1: somebody out there track down Gavin Newsom. Inside of that photo, 166 00:09:19,679 --> 00:09:22,440 Speaker 1: you can zoom in in four K to see everybody. 167 00:09:22,720 --> 00:09:24,240 Speaker 1: What do you think they found when they found the 168 00:09:24,320 --> 00:09:27,400 Speaker 1: still shot of Gavin Newsom not wearing a mask. Oh, 169 00:09:27,559 --> 00:09:30,560 Speaker 1: nobody's gonna be a double mask and goggle situation play 170 00:09:30,600 --> 00:09:33,920 Speaker 1: because he takes the virus seriously. Nobody in his suite 171 00:09:34,040 --> 00:09:37,559 Speaker 1: was wearing a mask either. There's no water near him. 172 00:09:37,679 --> 00:09:40,800 Speaker 1: I wish we had a camera on him full game 173 00:09:41,200 --> 00:09:43,400 Speaker 1: to actually see when he says he took it off 174 00:09:43,440 --> 00:09:46,320 Speaker 1: for a few seconds, The reality is he was likely 175 00:09:46,360 --> 00:09:50,080 Speaker 1: not wearing it very much at all. And if you 176 00:09:50,120 --> 00:09:54,880 Speaker 1: were truly in theory afraid of COVID, you wouldn't be 177 00:09:54,920 --> 00:09:57,600 Speaker 1: in a stadium with seventy five or eighty thousand people, 178 00:09:57,679 --> 00:10:00,880 Speaker 1: right and you certainly, if you were there, would be 179 00:10:01,240 --> 00:10:03,640 Speaker 1: basically wearing your mask at all times. You wouldn't be 180 00:10:03,640 --> 00:10:06,040 Speaker 1: taking it off to take a photo with magic Johnson, 181 00:10:06,080 --> 00:10:09,880 Speaker 1: who it's worth mentioning has HIV and would theoretically be 182 00:10:09,960 --> 00:10:14,440 Speaker 1: the very definition of an immunocompromised individual. Let's let's remember 183 00:10:14,679 --> 00:10:17,400 Speaker 1: that in the early days, which Clain I remember and 184 00:10:17,440 --> 00:10:19,360 Speaker 1: refer back to. You know, it's almost like the pre 185 00:10:19,440 --> 00:10:22,640 Speaker 1: COVID is now is now becoming a new a new 186 00:10:23,240 --> 00:10:27,000 Speaker 1: dating date system if you will PC you know, yeah, 187 00:10:27,040 --> 00:10:29,560 Speaker 1: and if you look back, which actually works pretty well, 188 00:10:29,679 --> 00:10:31,440 Speaker 1: if you look back to what was going on in 189 00:10:31,480 --> 00:10:34,760 Speaker 1: the earliest days of COVID. They were telling us not 190 00:10:34,880 --> 00:10:37,640 Speaker 1: only is it two weeks to slow the spread, which, 191 00:10:37,679 --> 00:10:39,680 Speaker 1: as we know, that was just the that was the 192 00:10:39,760 --> 00:10:42,280 Speaker 1: camel's nose in the tent. That was the beginning of 193 00:10:42,320 --> 00:10:47,040 Speaker 1: the end and of our freedoms. And then beyond that, 194 00:10:47,120 --> 00:10:49,480 Speaker 1: it was always wear a mask because we need to 195 00:10:49,480 --> 00:10:53,319 Speaker 1: make sure hospitals don't get overwhelmed. The masking idea wasn't 196 00:10:53,320 --> 00:10:55,880 Speaker 1: that this will protect you forever from COVID. That's not 197 00:10:55,880 --> 00:10:58,280 Speaker 1: how they sold it to people. It was right now, 198 00:10:58,520 --> 00:11:01,040 Speaker 1: we need to slow this thing down. We are two 199 00:11:01,160 --> 00:11:05,840 Speaker 1: years into this. Anyone who thinks that intermittent masking, which 200 00:11:05,880 --> 00:11:08,200 Speaker 1: is what not intermitted fasting, which is what the buckster 201 00:11:08,280 --> 00:11:13,319 Speaker 1: needs to do these days. Intermittent masking is going to 202 00:11:13,360 --> 00:11:17,240 Speaker 1: protect them from COVID is living in a fantasy land, Clay, Right, 203 00:11:17,400 --> 00:11:18,880 Speaker 1: think about how I mean this is like with you 204 00:11:18,920 --> 00:11:21,040 Speaker 1: in Tennessee. They make you mask when you go to 205 00:11:21,040 --> 00:11:24,319 Speaker 1: the airport. You're living your life otherwise outside of a mask. 206 00:11:24,360 --> 00:11:26,480 Speaker 1: The chance of you not being exposed to COVID under 207 00:11:26,480 --> 00:11:30,080 Speaker 1: those circumstances is basically zero. You're I mean, and you've 208 00:11:30,080 --> 00:11:33,000 Speaker 1: had it twice. So if yes, the whole masking idea 209 00:11:33,520 --> 00:11:36,160 Speaker 1: isn't that this is going to stop you from getting COVID. 210 00:11:36,240 --> 00:11:40,360 Speaker 1: It was meant temporarily and incorrectly to slow the spread. 211 00:11:41,000 --> 00:11:44,440 Speaker 1: But when you're it's endemic, So what are you trying 212 00:11:44,480 --> 00:11:47,480 Speaker 1: to slow? It's always there. It's always going to be 213 00:11:47,920 --> 00:11:50,280 Speaker 1: in circulation anyway. It just doesn't even make any sense, 214 00:11:50,360 --> 00:11:53,839 Speaker 1: clay As, I'm getting frustrated. Oh, I mean getting frustrated. 215 00:11:53,840 --> 00:11:56,000 Speaker 1: I think the vast majority of the American population is 216 00:11:56,040 --> 00:11:59,480 Speaker 1: with you, Democrat, Republican and independent if they have functional brains. 217 00:12:00,040 --> 00:12:01,960 Speaker 1: We've been talking about a great product every day we're 218 00:12:01,960 --> 00:12:04,320 Speaker 1: on the air. It's called Relief Factor. Relief Factors one 219 00:12:04,360 --> 00:12:08,640 Speaker 1: hundred percent drug free product which addresses joint pain, knee, hip, backneck, 220 00:12:08,760 --> 00:12:12,280 Speaker 1: and shoulder pain. Created by doctors based on scientific research, 221 00:12:12,640 --> 00:12:16,280 Speaker 1: relief Factor helps your body reduce pain and inflammation associated 222 00:12:16,280 --> 00:12:19,520 Speaker 1: with aging. 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Go to relief Factor dot com 238 00:13:10,480 --> 00:13:13,400 Speaker 1: or call eight hundred four relief to get the nineteen 239 00:13:13,440 --> 00:13:16,640 Speaker 1: ninety five three week quickstart developed FO you go to 240 00:13:16,800 --> 00:13:20,160 Speaker 1: Relief factor dot com or call eight hundred the number 241 00:13:20,160 --> 00:13:27,600 Speaker 1: four Relief Welcome back into the Clay Travis and Buck 242 00:13:27,640 --> 00:13:29,480 Speaker 1: Sexton Show. In just a couple of minutes, We're going 243 00:13:29,520 --> 00:13:32,560 Speaker 1: to talk to an expert on why I'm asking in 244 00:13:32,559 --> 00:13:34,760 Speaker 1: schools needs to end written in the Atlantic, somebody with 245 00:13:34,800 --> 00:13:38,600 Speaker 1: impeccable credentials, and she's gonna be coming on the show 246 00:13:38,679 --> 00:13:41,239 Speaker 1: to talk to us just about what does the data 247 00:13:41,720 --> 00:13:43,920 Speaker 1: really say? Which I think is, well, what's one of 248 00:13:43,920 --> 00:13:46,160 Speaker 1: the things we always focus on here we have an 249 00:13:46,160 --> 00:13:51,080 Speaker 1: infectious disease scientist. Okay, so somebody with exactly the credentials 250 00:13:51,120 --> 00:13:53,199 Speaker 1: that you would. You know that the left is always 251 00:13:53,240 --> 00:13:57,520 Speaker 1: demanding somebody has to even have a you know, basic 252 00:13:57,640 --> 00:13:59,600 Speaker 1: idea of what they're allowed to say here or not. 253 00:14:00,000 --> 00:14:01,360 Speaker 1: We'll get into that in a moment, but first, a 254 00:14:01,360 --> 00:14:06,280 Speaker 1: little more on the continuing I don't think there's a controversy, 255 00:14:06,360 --> 00:14:10,560 Speaker 1: just discussion, we could say, the discussion over Biden's promise 256 00:14:10,640 --> 00:14:15,040 Speaker 1: to nominate a black female Supreme Court jurist. Is it 257 00:14:15,360 --> 00:14:21,480 Speaker 1: problematic to say you're only going to consider one gender, 258 00:14:21,720 --> 00:14:26,040 Speaker 1: one race, whatever, whatever the case may be. Well, white 259 00:14:26,080 --> 00:14:28,960 Speaker 1: House Press Secretary Jen Saki weighed on this one. Here's 260 00:14:28,960 --> 00:14:31,280 Speaker 1: what she said. I would note that there's a long 261 00:14:31,400 --> 00:14:34,960 Speaker 1: history here. President Reagan promised the country he would nominate 262 00:14:35,000 --> 00:14:36,880 Speaker 1: the country's first woman to serve on the court, and 263 00:14:36,920 --> 00:14:40,080 Speaker 1: he did so. Former President Trump also promised to choose 264 00:14:40,080 --> 00:14:42,560 Speaker 1: a woman just over a year ago, and there was 265 00:14:42,600 --> 00:14:45,280 Speaker 1: no such complaint from the voices on the right who 266 00:14:45,280 --> 00:14:49,120 Speaker 1: are speaking out now. But the president's commitment is to 267 00:14:49,960 --> 00:14:52,080 Speaker 1: deliver on the promise he made to the country. But 268 00:14:52,120 --> 00:14:54,160 Speaker 1: he has there's no question in his mind that there 269 00:14:54,200 --> 00:14:59,240 Speaker 1: is a wealth of qualified, talented black woman to choose from. 270 00:14:59,320 --> 00:15:02,680 Speaker 1: So I don't remember, and I say that honestly, I 271 00:15:02,720 --> 00:15:06,360 Speaker 1: do not remember President Trump saying he will only nominate 272 00:15:06,440 --> 00:15:08,400 Speaker 1: a woman. He certainly didn't say he would only nominate 273 00:15:08,480 --> 00:15:10,560 Speaker 1: a white woman. I don't remember though it was only 274 00:15:10,560 --> 00:15:12,440 Speaker 1: going to be a woman, although that to be If 275 00:15:12,440 --> 00:15:14,640 Speaker 1: someone could point this out, I'm that's my memory. I'm 276 00:15:14,640 --> 00:15:18,200 Speaker 1: not correcting Jen Zakia on this one, But I'm just saying, Clay, 277 00:15:18,200 --> 00:15:19,840 Speaker 1: if you have a different recollection, if anyone out there, 278 00:15:19,920 --> 00:15:21,320 Speaker 1: let me know. But I don't. It's one thing to 279 00:15:21,360 --> 00:15:24,200 Speaker 1: pick a woman, obviously, it's another thing to say I'm 280 00:15:24,320 --> 00:15:27,880 Speaker 1: only going to consider a woman for this seat. Okay, 281 00:15:27,960 --> 00:15:30,360 Speaker 1: that's part one, not about whether there's some strategy behind 282 00:15:30,400 --> 00:15:33,280 Speaker 1: the scenes about whether you're announcing it that way. Ted Cruise, though, 283 00:15:33,560 --> 00:15:36,840 Speaker 1: had a particular analysis on this issue Play thirteen. The 284 00:15:37,160 --> 00:15:39,160 Speaker 1: fact that he's willing to make a promise at the 285 00:15:39,200 --> 00:15:41,560 Speaker 1: outset that it must be a black woman. I gotta 286 00:15:41,560 --> 00:15:44,680 Speaker 1: say that's offensive, right. You know, black women are what 287 00:15:45,040 --> 00:15:48,800 Speaker 1: six percent of the US population. He's saying to ninety 288 00:15:48,800 --> 00:15:51,320 Speaker 1: four percent of Americans, I don't give a damn about you. 289 00:15:51,320 --> 00:15:54,200 Speaker 1: You are ineligible. And he's also saying it's actually an 290 00:15:54,200 --> 00:15:56,480 Speaker 1: insult to black women. If he came and said I'm 291 00:15:56,480 --> 00:15:58,720 Speaker 1: going to put the best jurist on the cord, and 292 00:15:58,960 --> 00:16:01,040 Speaker 1: he looked at a number of plan ended up nominating 293 00:16:01,040 --> 00:16:04,720 Speaker 1: a black woman, he could credibly say, Okay, I'm nominating 294 00:16:04,720 --> 00:16:07,360 Speaker 1: the person who's most qualified. He's not even pretending to 295 00:16:07,400 --> 00:16:11,640 Speaker 1: say that. He's saying, if you're a white guy, tough luck. 296 00:16:11,960 --> 00:16:16,120 Speaker 1: If you're a white woman, tough luck, you don't qualify Clay. 297 00:16:16,200 --> 00:16:19,600 Speaker 1: That sounds quite a bit like what you've been saying 298 00:16:19,640 --> 00:16:23,160 Speaker 1: on this I think it's the right argument here, Buck. 299 00:16:23,360 --> 00:16:26,320 Speaker 1: When you really break down what's going on in the 300 00:16:26,400 --> 00:16:31,800 Speaker 1: grand scheme of things. This is a failure of Joe Biden. 301 00:16:31,800 --> 00:16:34,400 Speaker 1: And by the way, seventy six percent of the American 302 00:16:34,440 --> 00:16:38,000 Speaker 1: public disagrees with him saying I'm going to pick a 303 00:16:38,000 --> 00:16:41,200 Speaker 1: black woman and book. I understand the argument that's out 304 00:16:41,240 --> 00:16:44,640 Speaker 1: there of well, we've said before, certainly Joe Biden said 305 00:16:44,680 --> 00:16:47,560 Speaker 1: I'm only going to pick a woman, and before that 306 00:16:47,720 --> 00:16:52,240 Speaker 1: we said similarly something that was interesting, which is which 307 00:16:52,320 --> 00:16:54,720 Speaker 1: is Ronald Reagan said hey, I'm going to pick a woman. 308 00:16:55,240 --> 00:16:58,200 Speaker 1: But really, Buck, when you break that down, that's different 309 00:16:58,200 --> 00:17:00,920 Speaker 1: because even if you say you're going to pick a woman, 310 00:17:01,160 --> 00:17:03,520 Speaker 1: then Trump may have said it for Amy Coney Barrett too. 311 00:17:03,920 --> 00:17:07,280 Speaker 1: You're at least willing to take fifty percent of the 312 00:17:07,359 --> 00:17:11,280 Speaker 1: overall population and consider them for a job. I still 313 00:17:11,359 --> 00:17:14,640 Speaker 1: don't personally think it's appropriate at this point in this 314 00:17:14,760 --> 00:17:17,240 Speaker 1: era to say, hey, I'm going to pick a guy. 315 00:17:17,359 --> 00:17:19,920 Speaker 1: I'm going to pick a girl. But certainly, when you 316 00:17:20,000 --> 00:17:25,280 Speaker 1: specify a particular race and gender, you've gone from fifty 317 00:17:25,280 --> 00:17:28,640 Speaker 1: percent of the population eligible for a job to six 318 00:17:28,720 --> 00:17:30,879 Speaker 1: percent of the population eligible for a job. And I 319 00:17:30,920 --> 00:17:34,960 Speaker 1: would just say, imagine the reaction if Donald Trump had 320 00:17:34,960 --> 00:17:38,480 Speaker 1: said after Ruth Bader Ginsburg passed and he had the 321 00:17:38,520 --> 00:17:42,280 Speaker 1: opportunity to replace her, if he had said, I'm only 322 00:17:42,320 --> 00:17:46,240 Speaker 1: going to consider a white woman to replace Ruth Bader Ginsburg, 323 00:17:46,560 --> 00:17:49,400 Speaker 1: the world would have come undone. I don't think because 324 00:17:49,480 --> 00:17:51,960 Speaker 1: Joe Biden says he's only going to consider a black 325 00:17:52,000 --> 00:17:56,160 Speaker 1: woman that the reaction should be any different at all personally. 326 00:17:57,800 --> 00:18:00,480 Speaker 1: And so as we break down going for here, I 327 00:18:00,480 --> 00:18:03,800 Speaker 1: gotta tell you all about how we want to make 328 00:18:03,800 --> 00:18:06,600 Speaker 1: sure that we can defend freedom out there. We know 329 00:18:06,640 --> 00:18:10,199 Speaker 1: you understand and admire all our Constitution stands for, so 330 00:18:10,280 --> 00:18:12,840 Speaker 1: do we. And it's the same with Hillsdale College, the 331 00:18:12,880 --> 00:18:16,920 Speaker 1: best liberal arts college in America. Hillsdale's mission is pursuing 332 00:18:16,960 --> 00:18:20,680 Speaker 1: truth and defending liberty. It gives us undergraduate and graduate 333 00:18:20,720 --> 00:18:24,000 Speaker 1: students the best education, and it's working to make this 334 00:18:24,160 --> 00:18:27,520 Speaker 1: education available for everyone, from offering free online courses to 335 00:18:27,600 --> 00:18:31,119 Speaker 1: helping support great k through twelve schools. It's a great 336 00:18:31,119 --> 00:18:33,920 Speaker 1: effort on their part, and one of those efforts is 337 00:18:34,040 --> 00:18:39,119 Speaker 1: Hillsdale's free monthly speech digest. It's called Imprimus. Over six 338 00:18:39,160 --> 00:18:43,920 Speaker 1: million households and businesses receive Imprimus for free, no strings attached. 339 00:18:44,000 --> 00:18:48,280 Speaker 1: Get your publication of Imprimus today. Sign up online at 340 00:18:48,320 --> 00:18:51,320 Speaker 1: Clay and Buck for Hillsdale dot com. That's Clay and 341 00:18:51,400 --> 00:19:00,480 Speaker 1: Buck for Hillsdale dot com. Do it today. Welcome. I 342 00:19:00,520 --> 00:19:03,680 Speaker 1: am Clay Travis. He is Buck Sexton. We are rolling 343 00:19:03,840 --> 00:19:07,239 Speaker 1: through the Tuesday edition of the program and we are 344 00:19:07,800 --> 00:19:13,240 Speaker 1: joined now by Look, there was a fantastic story, fantastic 345 00:19:13,320 --> 00:19:18,120 Speaker 1: story in the Atlantic title the Case against Masks at School. 346 00:19:18,280 --> 00:19:21,520 Speaker 1: We will retweet this once more. Both Buck and I 347 00:19:21,640 --> 00:19:24,560 Speaker 1: shared it with all of you. It was written by 348 00:19:24,680 --> 00:19:29,720 Speaker 1: Marjorie Smelkinson. She is an infectious disease scientist. She also 349 00:19:29,760 --> 00:19:32,320 Speaker 1: wrote it with two other people, Leslie being in a 350 00:19:32,400 --> 00:19:38,160 Speaker 1: veterinarian as well, and Gene Noble, an emergency medicine doctor 351 00:19:38,280 --> 00:19:42,520 Speaker 1: at UCSF. It is up at the Clay and Buck website. 352 00:19:42,840 --> 00:19:44,600 Speaker 1: You can click through to read it. It's in the 353 00:19:44,640 --> 00:19:48,679 Speaker 1: Atlantic and we are joined now by doctor Smelkinson. She 354 00:19:48,800 --> 00:19:54,760 Speaker 1: is an infectious disease scientist. Doctor Smelkinson phenomenal work on 355 00:19:54,840 --> 00:19:58,920 Speaker 1: this article laying out why masks and schools don't make 356 00:19:59,000 --> 00:20:03,280 Speaker 1: sense from a scientific basis. How long did you work 357 00:20:03,440 --> 00:20:07,480 Speaker 1: on the piece and what initially made you decide along 358 00:20:07,520 --> 00:20:13,680 Speaker 1: with your two colleagues to write this article. Uh, well, 359 00:20:13,760 --> 00:20:16,359 Speaker 1: thank you for having me on. UM. You know, we 360 00:20:16,400 --> 00:20:19,439 Speaker 1: actually submitted this piece quite a while ago, UM and 361 00:20:19,520 --> 00:20:21,800 Speaker 1: it went you know, there's a lot of fact checking 362 00:20:21,880 --> 00:20:25,080 Speaker 1: that goes on at the Atlantic, so you know it 363 00:20:25,160 --> 00:20:27,720 Speaker 1: was really uh, you know, a nice piece that was 364 00:20:27,760 --> 00:20:30,719 Speaker 1: put out in the end. But we you know, at 365 00:20:30,760 --> 00:20:34,200 Speaker 1: the beginning of the pandemic, it made sense to do 366 00:20:34,240 --> 00:20:37,080 Speaker 1: whatever we needed to do mask up, you know, take 367 00:20:37,119 --> 00:20:39,080 Speaker 1: all the precautions. We didn't know what was going on, 368 00:20:40,359 --> 00:20:42,920 Speaker 1: but you know, we missed a lot of logical off 369 00:20:43,040 --> 00:20:47,040 Speaker 1: ramps to to phase out some of these restrictions. You know, 370 00:20:47,960 --> 00:20:51,480 Speaker 1: like schools have been so restricted, but like once teachers 371 00:20:51,520 --> 00:20:54,520 Speaker 1: and adults were you know, able to get vaccinated pretty widely, 372 00:20:54,880 --> 00:20:56,399 Speaker 1: that should have been an off ramp to a lot 373 00:20:56,440 --> 00:21:00,240 Speaker 1: of these things, but it really wasn't right. So, you know, 374 00:21:00,280 --> 00:21:02,160 Speaker 1: we're kind of at this turning point in the pandemic. 375 00:21:03,080 --> 00:21:05,399 Speaker 1: Omicron is really forcing us to face that this virus 376 00:21:05,480 --> 00:21:07,719 Speaker 1: is going to be here forever. You know, it's going 377 00:21:07,720 --> 00:21:11,520 Speaker 1: to circulate very much like the flu, and with cases 378 00:21:11,560 --> 00:21:16,119 Speaker 1: easing and children now eligible to be vaccinated for about 379 00:21:16,119 --> 00:21:19,320 Speaker 1: three months now, it's really time to buckle down figure 380 00:21:19,359 --> 00:21:22,280 Speaker 1: out what is the best way forward and how to 381 00:21:22,480 --> 00:21:25,200 Speaker 1: get these kids lives and their schools back to normal 382 00:21:25,240 --> 00:21:26,919 Speaker 1: as quickly as we can, because you know, kids have 383 00:21:27,000 --> 00:21:29,040 Speaker 1: been just through the ringer if these last two years, 384 00:21:29,640 --> 00:21:33,760 Speaker 1: and this really involves digging into the data behind each 385 00:21:33,800 --> 00:21:36,879 Speaker 1: mitigation measure and weighing whatever benefits they have at this 386 00:21:36,960 --> 00:21:39,440 Speaker 1: point in time with the harms, and so that's why 387 00:21:39,480 --> 00:21:42,320 Speaker 1: we wrote this up. You know, we wanted to really 388 00:21:42,359 --> 00:21:45,520 Speaker 1: dig into the data about masks, and there was you know, 389 00:21:45,560 --> 00:21:48,399 Speaker 1: several studies last year, even pre vaccines, that showed that 390 00:21:48,480 --> 00:21:53,520 Speaker 1: student masking made little difference in case rates within the schools. 391 00:21:53,560 --> 00:21:56,560 Speaker 1: And now this year, you know, nearly half of US 392 00:21:56,600 --> 00:21:59,240 Speaker 1: districts don't even have mask mandates, so we're actually able 393 00:21:59,280 --> 00:22:02,320 Speaker 1: to make these comparisons between districts that have them and 394 00:22:02,640 --> 00:22:06,879 Speaker 1: that have mass optional policies, and again, you know, controlling 395 00:22:06,920 --> 00:22:11,040 Speaker 1: for things like community transmission and vaccination rates, we're again 396 00:22:11,080 --> 00:22:14,080 Speaker 1: seeing very little differenced. And there was also another report 397 00:22:14,119 --> 00:22:16,280 Speaker 1: out of the UK while we were writing this that 398 00:22:16,480 --> 00:22:19,560 Speaker 1: said very similarly that their schools that had mask mandates 399 00:22:20,080 --> 00:22:24,280 Speaker 1: and those that didn't had very similar numbers of COVID 400 00:22:24,320 --> 00:22:26,960 Speaker 1: related absences. And I would also note that the UK 401 00:22:27,160 --> 00:22:32,560 Speaker 1: actually doesn't typically mask kids under twelves. They follow the WHO. So, 402 00:22:32,760 --> 00:22:35,760 Speaker 1: you know, just compiling all this data together, it just 403 00:22:36,480 --> 00:22:41,800 Speaker 1: seemed very weak to continue masking students, especially now that 404 00:22:41,840 --> 00:22:43,639 Speaker 1: they can be vaccinated. And we you know, we have 405 00:22:43,680 --> 00:22:46,000 Speaker 1: to keep in mind that a lot of districts don't mask. 406 00:22:46,520 --> 00:22:50,440 Speaker 1: Some countries never had masking of their students or their teachers, 407 00:22:51,000 --> 00:22:54,120 Speaker 1: and you know, it's time to really pivot away from 408 00:22:54,240 --> 00:22:57,080 Speaker 1: mask mandates at the joints. One of the places where 409 00:22:57,080 --> 00:22:59,120 Speaker 1: and this is back thanks for joining us were you 410 00:23:00,080 --> 00:23:01,920 Speaker 1: did the data crunching, And I thought it was interesting 411 00:23:01,920 --> 00:23:04,800 Speaker 1: because I've seen this elsewhere as well, when people line 412 00:23:04,840 --> 00:23:07,320 Speaker 1: up the numbers is Los Angeles County in Orange County 413 00:23:07,960 --> 00:23:10,760 Speaker 1: and it's fascina because they're right next to each other. 414 00:23:10,800 --> 00:23:13,199 Speaker 1: And I know that some people who are very i 415 00:23:13,200 --> 00:23:17,199 Speaker 1: would say not even just intellectually, but emotionally invested in 416 00:23:17,240 --> 00:23:20,840 Speaker 1: masks always have some answer for why, you know, the 417 00:23:20,960 --> 00:23:23,479 Speaker 1: data doesn't say what the data clearly says. And in 418 00:23:23,520 --> 00:23:25,560 Speaker 1: that case, and it's one you dealt with in your article, 419 00:23:26,280 --> 00:23:29,080 Speaker 1: is essentially effectively the same, right, I mean, the numbers 420 00:23:29,080 --> 00:23:31,200 Speaker 1: aren't ever going to be exactly the same for infectious 421 00:23:31,280 --> 00:23:33,600 Speaker 1: rates of two different populations, but pretty much the same 422 00:23:34,400 --> 00:23:37,240 Speaker 1: when you present this to people showing that a mask, 423 00:23:37,400 --> 00:23:42,119 Speaker 1: Now that's vaccination rates were what mattered in hospitalization for 424 00:23:42,160 --> 00:23:45,080 Speaker 1: Los Angeles and Orange County in California. But when you 425 00:23:45,119 --> 00:23:48,000 Speaker 1: present the mask issue and say, look, Orange County doesn't 426 00:23:48,000 --> 00:23:50,639 Speaker 1: have mass mandates in school Los Angeles did, there was 427 00:23:50,680 --> 00:23:54,760 Speaker 1: no discernible difference. What do people that are really invested 428 00:23:54,760 --> 00:23:57,240 Speaker 1: in this say to that research? I mean, I'm sure 429 00:23:57,280 --> 00:24:00,440 Speaker 1: you've got a lot of heat for this article. What's 430 00:24:00,480 --> 00:24:02,639 Speaker 1: their response to you just saying this is what the 431 00:24:02,720 --> 00:24:06,480 Speaker 1: numbers are telling us, guys. I mean, that's why we 432 00:24:06,520 --> 00:24:09,600 Speaker 1: had to put so much data into this piece, right, because, 433 00:24:09,640 --> 00:24:12,080 Speaker 1: like you know, one piece of data is not going 434 00:24:12,119 --> 00:24:15,320 Speaker 1: to convince anybody. So that's actually why we crunch the 435 00:24:15,400 --> 00:24:17,960 Speaker 1: numbers in Maryland as well. That's I live in Maryland, 436 00:24:18,000 --> 00:24:20,720 Speaker 1: and so we have kind of in Tennessee, right, I 437 00:24:20,760 --> 00:24:24,199 Speaker 1: saw it, you did Tennessee Williamson and which is which is, 438 00:24:24,200 --> 00:24:26,680 Speaker 1: by the way, where I spoke, And that's really jumped 439 00:24:26,720 --> 00:24:29,280 Speaker 1: out to me about your article, doctor Smelkinson. I live 440 00:24:29,280 --> 00:24:32,439 Speaker 1: in Williamson County, which is directly south of Davidson County, 441 00:24:33,119 --> 00:24:35,399 Speaker 1: and we have no mask band aid in the County 442 00:24:35,400 --> 00:24:39,000 Speaker 1: of Williamson. Davidson does and again the rates of impact, 443 00:24:39,080 --> 00:24:42,360 Speaker 1: just like Orange County in La County virtually non existing. Different. Sorry, 444 00:24:42,359 --> 00:24:43,840 Speaker 1: you were saying, what do they say to you in 445 00:24:43,880 --> 00:24:46,679 Speaker 1: response to these multiple places where you've had no mask 446 00:24:46,720 --> 00:24:50,480 Speaker 1: and mask data to look at. Well, I mean, as 447 00:24:50,480 --> 00:24:52,520 Speaker 1: I was saying, like, we needed to load this up 448 00:24:52,560 --> 00:24:55,200 Speaker 1: with as many examples as we could, because I think 449 00:24:55,280 --> 00:24:58,320 Speaker 1: just seeing you know, Los Angeles and Orange County is 450 00:24:58,320 --> 00:25:01,320 Speaker 1: not going to make a difference, seeing as Tennessee Counties 451 00:25:01,440 --> 00:25:02,840 Speaker 1: is not going to make a difference. But if you 452 00:25:02,920 --> 00:25:05,679 Speaker 1: hit them with lots and lots and lots of data points, 453 00:25:06,080 --> 00:25:09,800 Speaker 1: it's really hard to um, you know, look away from it. 454 00:25:09,880 --> 00:25:12,480 Speaker 1: And you know, I think that there's a lot of 455 00:25:12,640 --> 00:25:14,640 Speaker 1: you know, our health officials have kind of dug their 456 00:25:14,680 --> 00:25:19,200 Speaker 1: heels in on masking. It's it's been hard to change course. 457 00:25:19,200 --> 00:25:21,479 Speaker 1: They keep banging the same drum. It's hard to wit 458 00:25:21,520 --> 00:25:24,800 Speaker 1: when you admit when you're wrong. But I think that 459 00:25:25,640 --> 00:25:28,399 Speaker 1: at this point it's it's kind of actually easy for 460 00:25:28,440 --> 00:25:30,840 Speaker 1: people to see what is going on they can you know, 461 00:25:30,920 --> 00:25:33,439 Speaker 1: if they're in an area that has a lot of restrictions, 462 00:25:33,440 --> 00:25:35,600 Speaker 1: you can just look to the neighboring state and see, oh, 463 00:25:35,640 --> 00:25:38,639 Speaker 1: their schools are pretty normal. But are you coming across 464 00:25:38,680 --> 00:25:40,880 Speaker 1: people who see your research and are changing I mean, 465 00:25:40,880 --> 00:25:42,600 Speaker 1: this is the key, is where we really wanted to 466 00:25:42,600 --> 00:25:45,480 Speaker 1: know about when in response to your article, are they 467 00:25:45,600 --> 00:25:48,240 Speaker 1: changing their minds on this? Are they saying, oh, my gosh, 468 00:25:48,359 --> 00:25:52,280 Speaker 1: you've hit us with all this data. You're right? Actually, 469 00:25:52,359 --> 00:25:55,159 Speaker 1: I mean I've been reached out by a few people 470 00:25:55,280 --> 00:25:57,680 Speaker 1: that were very much in like the you know, who cares, 471 00:25:58,000 --> 00:26:00,399 Speaker 1: let's keep the masks on. They reached out to me 472 00:26:00,440 --> 00:26:03,320 Speaker 1: and they're like, it, really, you know, you put in 473 00:26:03,359 --> 00:26:06,320 Speaker 1: so much data in there, including you know, stuff about 474 00:26:06,320 --> 00:26:09,680 Speaker 1: the harms, which perhaps we'll get to that it's really 475 00:26:09,720 --> 00:26:13,240 Speaker 1: hard to deny at this point that mask mandates. It 476 00:26:13,520 --> 00:26:16,280 Speaker 1: appears that the benefits has really been overstated, at least 477 00:26:16,280 --> 00:26:19,680 Speaker 1: in a school setting, and so you know, I also 478 00:26:19,880 --> 00:26:22,480 Speaker 1: think that the placement in the Atlantic also helped, as 479 00:26:22,520 --> 00:26:26,720 Speaker 1: you know, kind of like a left leaning magazine. So 480 00:26:26,840 --> 00:26:28,920 Speaker 1: I think that it did speak to a lot of people. 481 00:26:28,960 --> 00:26:31,600 Speaker 1: But of course there's also people giving heat. But the 482 00:26:31,720 --> 00:26:33,760 Speaker 1: problem is like there's just no off ramp, and I 483 00:26:33,760 --> 00:26:35,879 Speaker 1: think that that's what's so frustrating to a lot of 484 00:26:35,880 --> 00:26:38,520 Speaker 1: parents at this point. It's like the logical off ramp 485 00:26:38,600 --> 00:26:42,200 Speaker 1: at this point was kids five and up can be vaccinated, 486 00:26:42,280 --> 00:26:44,760 Speaker 1: they have that protection. Now, I mean they were always 487 00:26:44,800 --> 00:26:46,880 Speaker 1: lower risk, and now they're even you know, lower risk. 488 00:26:47,880 --> 00:26:51,040 Speaker 1: So you know, I think that it is speaking to 489 00:26:51,080 --> 00:26:54,440 Speaker 1: a lot of people. Obviously, you know, after we published 490 00:26:54,440 --> 00:26:56,560 Speaker 1: our piece, it was also cited in the New York 491 00:26:56,560 --> 00:26:59,520 Speaker 1: Times and NPR head a piece in the Washington Post. 492 00:26:59,600 --> 00:27:02,040 Speaker 1: I think there's a lot of people that are coming 493 00:27:02,080 --> 00:27:04,760 Speaker 1: to the realization that we have to kind of walk 494 00:27:04,800 --> 00:27:08,919 Speaker 1: away from these mask mandate policies. And you know, of 495 00:27:08,920 --> 00:27:11,480 Speaker 1: course everyone can continue to mask, but it'll be mask 496 00:27:11,520 --> 00:27:15,840 Speaker 1: optional policies. Doctor Smilkinson. A couple of quick questions here, 497 00:27:16,119 --> 00:27:19,360 Speaker 1: do you or your colleagues who wrote this have children, 498 00:27:19,880 --> 00:27:23,239 Speaker 1: and if so, what would your thought process be as 499 00:27:23,280 --> 00:27:26,200 Speaker 1: to whether they should wear masks at school? And then 500 00:27:26,240 --> 00:27:29,000 Speaker 1: a secondary part here, what are the harms? Right? The 501 00:27:29,080 --> 00:27:32,360 Speaker 1: idea is we need to wear masks because the argument 502 00:27:32,359 --> 00:27:35,440 Speaker 1: of the PROMSKA people is because it makes people safer 503 00:27:35,480 --> 00:27:39,520 Speaker 1: from COVID. What harms do wearing masks inflict upon children? 504 00:27:41,440 --> 00:27:43,960 Speaker 1: So to answer your first question, we do all have children. 505 00:27:44,480 --> 00:27:47,159 Speaker 1: I actually have four elementary school children. So it has 506 00:27:47,200 --> 00:27:51,120 Speaker 1: been quite a two years. And well, by the way, sorry, 507 00:27:51,240 --> 00:27:53,560 Speaker 1: I just I want to cut What do the moms 508 00:27:53,600 --> 00:27:56,359 Speaker 1: say to you? Because if you've got four elementary school kids, 509 00:27:56,400 --> 00:27:59,359 Speaker 1: I've got two elementary school kids, moms and dads, they 510 00:27:59,400 --> 00:28:01,520 Speaker 1: have to become to you all the time to ask 511 00:28:01,600 --> 00:28:05,159 Speaker 1: you what you think about masking, right, they do. And 512 00:28:05,240 --> 00:28:07,320 Speaker 1: in the beginning, well, I mean last year it was 513 00:28:07,359 --> 00:28:10,880 Speaker 1: just about getting the schools open, right, you know. Actually 514 00:28:10,920 --> 00:28:13,240 Speaker 1: about mask my stance is really evolved. You know, in 515 00:28:13,280 --> 00:28:16,440 Speaker 1: the beginning I did support masks. You know, schools were 516 00:28:16,480 --> 00:28:20,240 Speaker 1: opening elsewhere they generally had masks. It's like, okay, I'll 517 00:28:20,280 --> 00:28:22,680 Speaker 1: mask my kids, just open my school. It'll be a 518 00:28:22,720 --> 00:28:26,680 Speaker 1: temporary thing. But my stance has evolved, you know. Actually 519 00:28:26,720 --> 00:28:28,600 Speaker 1: in the summer I wrote an op ed saying we 520 00:28:28,640 --> 00:28:32,000 Speaker 1: should you know, drop mass mandates in Maryland because at 521 00:28:32,000 --> 00:28:34,520 Speaker 1: that point everyone twelve and up could be it was 522 00:28:34,560 --> 00:28:39,720 Speaker 1: eligible for vaccent vaccination. Marylyn was very vaccinated. We had 523 00:28:39,760 --> 00:28:42,240 Speaker 1: lost case counts. It was really at least time to 524 00:28:42,240 --> 00:28:45,440 Speaker 1: start the discussion because masking kids for this song it's 525 00:28:45,480 --> 00:28:50,960 Speaker 1: never been done, you know, with masks, unlike some other 526 00:28:51,000 --> 00:28:54,400 Speaker 1: mitigation measures that we've had, it's really hard to quantify 527 00:28:54,440 --> 00:28:57,400 Speaker 1: the downsides of masks because they're harder to see, they're 528 00:28:57,400 --> 00:29:00,560 Speaker 1: more subtle, they may take years to manifest. And that's 529 00:29:00,600 --> 00:29:03,400 Speaker 1: why I actually think this mask debate has been so contentious, 530 00:29:03,440 --> 00:29:06,160 Speaker 1: just because many are just like, Okay, wear the mask, whatever. 531 00:29:07,200 --> 00:29:11,640 Speaker 1: But two years of children's learning masks from masks teachers 532 00:29:11,840 --> 00:29:15,880 Speaker 1: is like likely not going to just be a benign intervention. 533 00:29:16,320 --> 00:29:19,320 Speaker 1: We're already starting to see data that masks are you know, 534 00:29:19,760 --> 00:29:24,000 Speaker 1: there's a uptick in speech delays and impacts on language development, 535 00:29:24,640 --> 00:29:28,080 Speaker 1: social emotional connections. And it's not just little kids, it's 536 00:29:28,120 --> 00:29:32,680 Speaker 1: all it's all keep kids actually adults too. They obviously 537 00:29:32,720 --> 00:29:37,320 Speaker 1: impede the ability to communicate. I find myself, you know, 538 00:29:37,560 --> 00:29:40,000 Speaker 1: in philose Pandemic, I didn't realize how much I read lips, 539 00:29:40,080 --> 00:29:43,080 Speaker 1: you know, when I'm talking to somebody, And you know, 540 00:29:43,160 --> 00:29:46,280 Speaker 1: it's been it's hard to communicate with masks. So if 541 00:29:46,280 --> 00:29:49,200 Speaker 1: this is a mitigation measure that is really not backed 542 00:29:49,280 --> 00:29:54,640 Speaker 1: up by robust data, we should trash it. This is fantastic, 543 00:29:54,680 --> 00:29:57,600 Speaker 1: and I encourage everybody listening to us right now, Doctor Smilkinson, 544 00:29:57,840 --> 00:29:59,520 Speaker 1: thank you for coming on. Thank you for you and 545 00:29:59,600 --> 00:30:01,400 Speaker 1: your call leagues who wrote this article. We're going to 546 00:30:01,440 --> 00:30:05,000 Speaker 1: share it widely and we appreciate your work. 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There a 573 00:31:26,920 --> 00:31:31,440 Speaker 1: researcher in fectus disease researcher going after case aftercase, place 574 00:31:31,440 --> 00:31:34,680 Speaker 1: after place across the country. Mask Man dates in schools 575 00:31:35,120 --> 00:31:38,480 Speaker 1: do not make a difference, bottom line, folks. They people 576 00:31:38,480 --> 00:31:40,320 Speaker 1: can argue that the blue in the face. Remember there's 577 00:31:40,360 --> 00:31:43,160 Speaker 1: a lot of embarrassment. There's a lot of ego involved 578 00:31:43,200 --> 00:31:45,440 Speaker 1: here too. There's a lot of vanity. You think a 579 00:31:45,440 --> 00:31:48,840 Speaker 1: little fouch wants to go around admitting that his whole 580 00:31:49,160 --> 00:31:53,240 Speaker 1: mask and double mask and triple mask and quadruple loople 581 00:31:53,320 --> 00:31:55,840 Speaker 1: mask and all. You think you think that that is 582 00:31:55,840 --> 00:31:57,720 Speaker 1: something he wants to now say, Hey, you didn't need 583 00:31:57,760 --> 00:31:59,640 Speaker 1: to do that to your kids. Of course not. He 584 00:31:59,720 --> 00:32:02,920 Speaker 1: never wants to say that. You think Randy Weingarten, the 585 00:32:03,000 --> 00:32:06,760 Speaker 1: chief commissar of the teachers' unions, wants to admit that 586 00:32:06,840 --> 00:32:09,080 Speaker 1: mass and kids. No, she's saying, just keep going through 587 00:32:09,120 --> 00:32:11,959 Speaker 1: the omicron variant. Then we'll talk play eight. There's not 588 00:32:12,040 --> 00:32:14,520 Speaker 1: a person I know who wants to wear these things. 589 00:32:15,040 --> 00:32:18,240 Speaker 1: But the reason we wear them is to protect ourselves 590 00:32:18,280 --> 00:32:22,880 Speaker 1: and others. It's not about particularly in the midst of omicron. 591 00:32:23,200 --> 00:32:27,280 Speaker 1: CDC and others have basically said that this has helped 592 00:32:27,480 --> 00:32:34,120 Speaker 1: protect people from huge dissemination of a very very transmissible virus. 593 00:32:34,200 --> 00:32:37,959 Speaker 1: So I would say to the Governor of Virginia and 594 00:32:38,000 --> 00:32:41,040 Speaker 1: to others, you know this, you know way to the 595 00:32:41,360 --> 00:32:44,560 Speaker 1: end of the omicron spike. How about no, let's just 596 00:32:44,800 --> 00:32:47,239 Speaker 1: how about no. Clay And I actually will give her 597 00:32:47,280 --> 00:32:49,120 Speaker 1: credit in so far as I don't think she's so 598 00:32:49,160 --> 00:32:51,880 Speaker 1: stupid that she believes this. I think she's so dishonest 599 00:32:52,400 --> 00:32:54,440 Speaker 1: and such a commy that she'll say this. I don't 600 00:32:54,440 --> 00:32:57,520 Speaker 1: think she actually believes what she's saying, and and just 601 00:32:57,560 --> 00:33:00,240 Speaker 1: that that she the way that she starts out the whole, 602 00:32:59,800 --> 00:33:03,560 Speaker 1: the whole premise here that libs don't want to mask. 603 00:33:03,600 --> 00:33:06,560 Speaker 1: That's actually increasingly not true. There are articles that are 604 00:33:06,560 --> 00:33:08,160 Speaker 1: being written. I was going to talk about one last 605 00:33:08,160 --> 00:33:11,200 Speaker 1: week where people are saying, I kind of like the mask. 606 00:33:11,360 --> 00:33:13,840 Speaker 1: I feel like it's solidarity with my community. I feel 607 00:33:13,840 --> 00:33:15,760 Speaker 1: like it makes me think that I'm doing good things. 608 00:33:15,920 --> 00:33:17,760 Speaker 1: I don't think I ever want to take the mask off. 609 00:33:17,800 --> 00:33:21,000 Speaker 1: There are libs that have gone full mask maniac, meaning 610 00:33:21,040 --> 00:33:23,680 Speaker 1: they're like, I like this, Let's do this forever. They're crazy. 611 00:33:24,120 --> 00:33:26,160 Speaker 1: What I think is so interesting about the doctor that 612 00:33:26,200 --> 00:33:28,840 Speaker 1: we just had on and again, if you are out there, 613 00:33:28,840 --> 00:33:31,240 Speaker 1: I get this question all the time because there are 614 00:33:31,240 --> 00:33:34,080 Speaker 1: so many parents out there in schools, because there's so 615 00:33:34,080 --> 00:33:37,160 Speaker 1: many parents talking buck right. That's why I asked, hey, 616 00:33:37,160 --> 00:33:39,160 Speaker 1: do you have kids yourself? And she said, yeah, I've 617 00:33:39,160 --> 00:33:43,720 Speaker 1: got four in elementary school. I've got three in school. 618 00:33:44,280 --> 00:33:47,480 Speaker 1: These are the conversations that all parents of elementary school 619 00:33:47,480 --> 00:33:49,840 Speaker 1: age children are having everywhere in high school to a 620 00:33:49,840 --> 00:33:54,640 Speaker 1: certain extent, but particularly for young kids, and people say, 621 00:33:54,720 --> 00:33:58,000 Speaker 1: where is the data, where's the data to support this, 622 00:33:58,760 --> 00:34:01,040 Speaker 1: and they just say, oh, well, DC says it. But 623 00:34:01,160 --> 00:34:03,000 Speaker 1: then what she did such a great job of and 624 00:34:03,040 --> 00:34:05,760 Speaker 1: she and her co authors year in the Atlantic piece, 625 00:34:05,800 --> 00:34:08,239 Speaker 1: and I give credit to the Atlantic for publishing an 626 00:34:08,320 --> 00:34:11,279 Speaker 1: article like this, which certainly flies in the face of 627 00:34:11,360 --> 00:34:15,319 Speaker 1: people like Randy Weingarten, is that the CDC does not 628 00:34:15,640 --> 00:34:21,200 Speaker 1: have any data that proves that masks are are a help, right, 629 00:34:21,520 --> 00:34:24,040 Speaker 1: and so if you are doing something that is not 630 00:34:24,200 --> 00:34:26,759 Speaker 1: proven to help, And certainly we saw talked about this 631 00:34:26,800 --> 00:34:30,799 Speaker 1: buck three hundred percent increase in speech related issues for 632 00:34:30,920 --> 00:34:35,120 Speaker 1: young children because young children learn from watching adults in 633 00:34:35,160 --> 00:34:37,080 Speaker 1: the way that their mouths move. In fact, now the 634 00:34:37,160 --> 00:34:40,920 Speaker 1: CDC is recommending for young children mask that are c 635 00:34:41,239 --> 00:34:44,000 Speaker 1: through so you can see other people's masks. I don't 636 00:34:44,000 --> 00:34:46,560 Speaker 1: know about you. Every single person out there has been 637 00:34:46,560 --> 00:34:48,800 Speaker 1: at at a restaurant and you got a waiter wearing 638 00:34:49,280 --> 00:34:51,960 Speaker 1: a mask and you say, sorry, I just can't hear 639 00:34:52,000 --> 00:34:54,600 Speaker 1: anything that you're saying, because we all get used to 640 00:34:54,640 --> 00:34:57,839 Speaker 1: watching lips move and helping to combine that with what 641 00:34:57,880 --> 00:35:01,279 Speaker 1: we can hear for the overall audio experience. And this 642 00:35:01,440 --> 00:35:04,440 Speaker 1: to me, the article that she's written in conjunction with 643 00:35:04,480 --> 00:35:06,480 Speaker 1: the other people we've had on who have looked at 644 00:35:06,600 --> 00:35:10,400 Speaker 1: masking in schools. It's a there's no longer an argument 645 00:35:10,640 --> 00:35:14,640 Speaker 1: to support kids anywhere being required to mask. It is, 646 00:35:14,680 --> 00:35:18,120 Speaker 1: in fact the mental anti science to argue that they shift. 647 00:35:18,560 --> 00:35:21,200 Speaker 1: What we have is a lot of places that have 648 00:35:21,239 --> 00:35:24,160 Speaker 1: shown that it doesn't work, and they just ignore it. 649 00:35:24,200 --> 00:35:26,919 Speaker 1: What we have is every time there's an opportunity when 650 00:35:26,920 --> 00:35:29,560 Speaker 1: you line up the data sets with any kind of 651 00:35:29,640 --> 00:35:31,480 Speaker 1: control group, by the way, which they did, and they 652 00:35:31,480 --> 00:35:34,160 Speaker 1: did that in Denmark, did nothing right. They've done this 653 00:35:34,239 --> 00:35:37,360 Speaker 1: in places when they and they i think intentionally refused 654 00:35:37,400 --> 00:35:40,719 Speaker 1: to control for vaccination rates when they're combined. When this 655 00:35:40,760 --> 00:35:43,080 Speaker 1: is what they did in the Pima County, Arizona study, 656 00:35:43,280 --> 00:35:45,279 Speaker 1: which is really the only thing the CDC will even 657 00:35:45,280 --> 00:35:48,480 Speaker 1: bring up. Okay, well, one county was i think ninety 658 00:35:48,520 --> 00:35:51,160 Speaker 1: percent vaccinated or close to the other one was almost 659 00:35:51,239 --> 00:35:54,040 Speaker 1: entirely unvaccinated. And then they compared the school districts and 660 00:35:54,080 --> 00:35:56,240 Speaker 1: looked at the breakouts and that was within a window 661 00:35:56,640 --> 00:36:00,480 Speaker 1: of vaccine efficacy because it was early on and preoma, right, 662 00:36:00,520 --> 00:36:03,000 Speaker 1: so it was when you would have had maximum antibodies 663 00:36:03,040 --> 00:36:06,160 Speaker 1: because it was earlier on in the vaccination program. So 664 00:36:06,200 --> 00:36:08,640 Speaker 1: it's just crap data play. I mean, and that's and 665 00:36:08,800 --> 00:36:12,319 Speaker 1: Fauci and Wilenski should be embarrassed, and any statistician can 666 00:36:12,400 --> 00:36:15,279 Speaker 1: see what a joke it is. But I really think 667 00:36:15,280 --> 00:36:17,080 Speaker 1: now at some point, I mean, I thought it's about control. 668 00:36:17,120 --> 00:36:21,399 Speaker 1: I also think there's just massive embarrassment that they're trying 669 00:36:21,440 --> 00:36:24,359 Speaker 1: to avoid here, and an embarrassment from all the people 670 00:36:24,360 --> 00:36:26,960 Speaker 1: that are going around as the mask Stazi telling you 671 00:36:27,000 --> 00:36:29,239 Speaker 1: to mask up just because they feel like it. I 672 00:36:29,239 --> 00:36:31,160 Speaker 1: don't think they want to feel like they're idiots, and 673 00:36:31,200 --> 00:36:35,120 Speaker 1: they are. I think also to the point that they 674 00:36:35,160 --> 00:36:37,400 Speaker 1: made in that article got a lot of people in 675 00:36:37,520 --> 00:36:40,360 Speaker 1: LA and Orange County, a lot of people in Nashville 676 00:36:40,360 --> 00:36:43,759 Speaker 1: and Williamson County side by side counties. When the rates 677 00:36:43,760 --> 00:36:46,680 Speaker 1: aren't changing one mask and one is not, it ends 678 00:36:46,719 --> 00:36:49,080 Speaker 1: the debate once and for all. Go read that article, 679 00:36:49,160 --> 00:36:51,239 Speaker 1: share it with your friends, Share the show as well. 680 00:36:51,320 --> 00:36:57,080 Speaker 1: Final Hour, Next two day edition, Fleet, Travis and Buck 681 00:36:57,120 --> 00:37:00,319 Speaker 1: Sexton on the front lines of truth.