1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and Buck 2 00:00:03,360 --> 00:00:08,039 Speaker 1: Sexton Show podcast. Welcome back in our number two Clay 3 00:00:08,080 --> 00:00:10,719 Speaker 1: Travis buck Sexton Show. I hope all of you are 4 00:00:10,800 --> 00:00:13,800 Speaker 1: having a fantastic Thursday. I had to think they're for 5 00:00:13,840 --> 00:00:16,400 Speaker 1: a minute, Buck, what day it was exactly. I hope 6 00:00:16,440 --> 00:00:18,160 Speaker 1: all of you are having a fantastic Thursday, wherever you 7 00:00:18,200 --> 00:00:20,240 Speaker 1: may be across the great country or this great land. 8 00:00:20,320 --> 00:00:24,439 Speaker 1: We've been talking a lot about the BLM movement support 9 00:00:24,560 --> 00:00:27,680 Speaker 1: for Cuba, and you need to make sure that you 10 00:00:27,760 --> 00:00:30,080 Speaker 1: go download and subscribe to the podcast. You can hear 11 00:00:30,120 --> 00:00:32,360 Speaker 1: all that discussion in the first hour. We, by the way, 12 00:00:32,360 --> 00:00:35,360 Speaker 1: Buck our schedule to be joined by Ann Coulter in 13 00:00:35,400 --> 00:00:37,600 Speaker 1: the third hour of this program to talk a little 14 00:00:37,640 --> 00:00:40,760 Speaker 1: bit about critical race theory and more. She has deep 15 00:00:40,880 --> 00:00:44,680 Speaker 1: expertise in what critical race theory is and is not, 16 00:00:44,840 --> 00:00:47,440 Speaker 1: and everybody should hear it. Let me tell you that 17 00:00:48,000 --> 00:00:52,040 Speaker 1: we've been talking about madness, and I've been saying this 18 00:00:52,080 --> 00:00:54,320 Speaker 1: for a while, and I think you buy in as well, Bucked, 19 00:00:54,360 --> 00:00:58,880 Speaker 1: that really they're sane and there's insane right now, and 20 00:00:59,400 --> 00:01:04,120 Speaker 1: all too often the Democratic Party is finding itself on 21 00:01:04,160 --> 00:01:07,039 Speaker 1: the insane side. Of issues. I don't even necessarily think 22 00:01:07,080 --> 00:01:09,039 Speaker 1: you have to make it political. It's like, defund the 23 00:01:09,080 --> 00:01:14,400 Speaker 1: police is an insane idea, right, The idea of not 24 00:01:14,520 --> 00:01:19,760 Speaker 1: being willing to support Cuba protesters is insane. Tearing down 25 00:01:20,160 --> 00:01:25,800 Speaker 1: statues of everyone all over the country is insane. And 26 00:01:26,200 --> 00:01:33,000 Speaker 1: COVID policy has been insane, Buck, and unfortunately headlines all 27 00:01:33,080 --> 00:01:38,119 Speaker 1: over the country today. We now know the tally from 28 00:01:38,640 --> 00:01:42,800 Speaker 1: the number of overdose deaths in this country, and they 29 00:01:42,880 --> 00:01:46,840 Speaker 1: surged over thirty percent to an all time record high 30 00:01:46,959 --> 00:01:50,840 Speaker 1: drug overdoses in twenty twenty. And my wife, Buck, I 31 00:01:50,880 --> 00:01:53,120 Speaker 1: want to get your thoughts on this. She said, Hey, 32 00:01:53,360 --> 00:01:57,280 Speaker 1: you have to stop saying on your radio program that 33 00:01:57,360 --> 00:02:01,040 Speaker 1: this was in any way because of COVID, because COVID 34 00:02:01,120 --> 00:02:07,520 Speaker 1: didn't cause these overdose deaths. Our response to COVID in 35 00:02:07,680 --> 00:02:12,120 Speaker 1: locking down the country caused these overdose deaths. And Buck, 36 00:02:12,120 --> 00:02:14,320 Speaker 1: when you look at the average age of the people 37 00:02:14,360 --> 00:02:18,480 Speaker 1: that are dying of drug overdoses, I think there's a 38 00:02:18,520 --> 00:02:23,080 Speaker 1: strong argument that deaths of despair in terms of years 39 00:02:23,200 --> 00:02:27,840 Speaker 1: lost are going to rival the number of years of 40 00:02:27,880 --> 00:02:31,280 Speaker 1: life lost by COVID because the average person dying with 41 00:02:31,600 --> 00:02:35,600 Speaker 1: I say, with COVID because almost all of them had comorbidities. 42 00:02:36,200 --> 00:02:38,880 Speaker 1: Is over the age of eighty. The people that are 43 00:02:38,960 --> 00:02:42,240 Speaker 1: dying of drug overdoses are in their twenties, their thirties, 44 00:02:42,280 --> 00:02:45,960 Speaker 1: their forties. They've got decades of life ahead that they 45 00:02:45,960 --> 00:02:48,520 Speaker 1: are not going to be able to live, and we 46 00:02:48,560 --> 00:02:50,760 Speaker 1: shut them up in their homes. We didn't allow them 47 00:02:50,800 --> 00:02:54,200 Speaker 1: access to counseling, we didn't allow them access to friends 48 00:02:54,200 --> 00:02:57,840 Speaker 1: and family, to church. And as a result, it's not 49 00:02:57,919 --> 00:03:02,760 Speaker 1: a surprise at all, unfortunately, that these drug overdose deaths 50 00:03:02,800 --> 00:03:07,080 Speaker 1: skyrocketed ninety three thousand of them in twenty twenty, the 51 00:03:07,080 --> 00:03:10,280 Speaker 1: most we've ever seen. And this was predicted by people 52 00:03:10,320 --> 00:03:13,440 Speaker 1: like you and me from the very beginning, Alex Barrinson, 53 00:03:13,480 --> 00:03:17,240 Speaker 1: who we had on recently, people who understood what the 54 00:03:17,360 --> 00:03:19,960 Speaker 1: results of lockdown, which now we talk about as though 55 00:03:20,000 --> 00:03:22,680 Speaker 1: this is a long standing policy. We speak of lockdowns 56 00:03:22,720 --> 00:03:27,640 Speaker 1: almost as if it's washing hands before surgery. But lockdown 57 00:03:28,120 --> 00:03:33,160 Speaker 1: as a concept had been discarded by the health establishment 58 00:03:33,240 --> 00:03:37,120 Speaker 1: leading into this pandemic. It had been considered before quarantine, 59 00:03:37,200 --> 00:03:40,120 Speaker 1: which has existed for a very long time. It actually 60 00:03:40,120 --> 00:03:43,280 Speaker 1: goes back to I think the Renaissance period Italian sailors. 61 00:03:43,720 --> 00:03:47,480 Speaker 1: It was you would spend up to fourteen days in 62 00:03:49,120 --> 00:03:51,880 Speaker 1: fourteen days in isolation if you were sick. Quarantine is 63 00:03:51,920 --> 00:03:55,720 Speaker 1: for sick people, lockdown is for all people. And this 64 00:03:55,960 --> 00:03:59,600 Speaker 1: was a panic reaction to a virus that, as we know, 65 00:03:59,720 --> 00:04:02,440 Speaker 1: has now turned into something well beyond just a public 66 00:04:02,440 --> 00:04:06,240 Speaker 1: health issue. We knew there would be a substantial increase 67 00:04:06,440 --> 00:04:10,080 Speaker 1: in deaths of despair, notably from opio So that was true. 68 00:04:10,200 --> 00:04:14,080 Speaker 1: That prediction, tragically, unfortunately was correct. But when we tried 69 00:04:14,120 --> 00:04:16,040 Speaker 1: to bring that up in the early days looking at 70 00:04:16,080 --> 00:04:19,960 Speaker 1: what was a good response, what was a reasonable response 71 00:04:20,000 --> 00:04:23,680 Speaker 1: to the pandemic, and what was excessive, people said, shut up, peasant, 72 00:04:24,000 --> 00:04:28,240 Speaker 1: stay inside. Doctor Fauci knows what he's talking about. Those 73 00:04:28,279 --> 00:04:31,440 Speaker 1: people are not very smart, they are not very wise, 74 00:04:31,560 --> 00:04:35,680 Speaker 1: and they've been wrong about pretty much everything, including the 75 00:04:35,720 --> 00:04:39,840 Speaker 1: little lab coat tyrant Fauci himself. And now we're going 76 00:04:39,880 --> 00:04:44,200 Speaker 1: to also find Clay that there are additional and I 77 00:04:44,240 --> 00:04:49,159 Speaker 1: mean substantial numbers increases of cancers that went undetected. Because 78 00:04:49,440 --> 00:04:53,320 Speaker 1: that all takes time, right to look at that data 79 00:04:53,839 --> 00:04:55,880 Speaker 1: will be something you see maybe by the end of 80 00:04:55,880 --> 00:04:58,360 Speaker 1: this year. And so you start to say, hold on 81 00:04:58,960 --> 00:05:02,520 Speaker 1: the gettings of this were not about whether we do 82 00:05:02,760 --> 00:05:05,360 Speaker 1: something for this virus or not, which was always the 83 00:05:05,400 --> 00:05:07,680 Speaker 1: false choice that was laid out. It was do we 84 00:05:07,800 --> 00:05:11,560 Speaker 1: lock everybody in their homes, but not actually lock everybody 85 00:05:11,560 --> 00:05:14,360 Speaker 1: in their homes because you still had frontline workers, right. 86 00:05:14,440 --> 00:05:16,400 Speaker 1: I mean, the way this broke down in a place 87 00:05:16,400 --> 00:05:20,320 Speaker 1: like New York City was you had upper middle class 88 00:05:20,839 --> 00:05:25,719 Speaker 1: white liberals whining on social media about how people weren't 89 00:05:25,760 --> 00:05:28,719 Speaker 1: masking up enough when they were having you know, when 90 00:05:28,920 --> 00:05:32,080 Speaker 1: they walked outside, while they had people who were in 91 00:05:32,360 --> 00:05:37,160 Speaker 1: New York at least disproportionately people of color, delivering their food, 92 00:05:37,640 --> 00:05:41,880 Speaker 1: keeping the grocery stores open, doing those frontline jobs and 93 00:05:41,960 --> 00:05:44,680 Speaker 1: being nurses and you know, being in the hospital system 94 00:05:45,600 --> 00:05:48,080 Speaker 1: and acting like, oh, we're all on lockdown. It was 95 00:05:48,200 --> 00:05:51,240 Speaker 1: a moronic policy. I mean, that's really when you look 96 00:05:51,279 --> 00:05:53,839 Speaker 1: at what we because we never even locked down. That's 97 00:05:53,880 --> 00:05:56,800 Speaker 1: the other part of this. We never actually did a 98 00:05:57,080 --> 00:06:00,479 Speaker 1: full on stay at home for a long period of 99 00:06:00,520 --> 00:06:02,880 Speaker 1: time to even see if it would work. And it 100 00:06:02,920 --> 00:06:06,120 Speaker 1: was always crazy. And yet here we are now Australia 101 00:06:06,160 --> 00:06:08,960 Speaker 1: has gone into what it's fifth lockdown period. Now that's 102 00:06:09,000 --> 00:06:14,680 Speaker 1: not going to stop. It's pure unadulterated madness and the consequences. 103 00:06:14,800 --> 00:06:16,560 Speaker 1: And do you agree with me, by the way, Buck, 104 00:06:16,600 --> 00:06:20,720 Speaker 1: that we don't talk enough about years of life lost. 105 00:06:20,920 --> 00:06:24,640 Speaker 1: There's a focus on the number of people who died, right, 106 00:06:24,680 --> 00:06:28,440 Speaker 1: And I understand that is a tragedy for anyone who 107 00:06:28,480 --> 00:06:31,640 Speaker 1: loses a loved one anytime. But I think if you 108 00:06:31,760 --> 00:06:34,400 Speaker 1: look at the numbers, and this is over a five 109 00:06:34,520 --> 00:06:38,280 Speaker 1: or ten year period based on COVID, you're not going 110 00:06:38,320 --> 00:06:41,080 Speaker 1: to be able to really tell a difference. And let 111 00:06:41,160 --> 00:06:43,400 Speaker 1: me explain this, because I don't think I'm curious if 112 00:06:43,640 --> 00:06:46,599 Speaker 1: you've thought through this too. If we see a rise 113 00:06:46,720 --> 00:06:49,080 Speaker 1: in the short term, which we did in twenty twenty 114 00:06:49,200 --> 00:06:51,919 Speaker 1: in the death rate in the United States based on 115 00:06:52,040 --> 00:06:55,280 Speaker 1: the age of the people who were dying over the 116 00:06:55,320 --> 00:06:58,560 Speaker 1: age of eighty, we're actually going to see a lower 117 00:06:58,680 --> 00:07:02,000 Speaker 1: death rate in the next several years because people who 118 00:07:02,040 --> 00:07:04,680 Speaker 1: are going to die tend to be old and unhealthy, 119 00:07:05,279 --> 00:07:09,680 Speaker 1: and COVID pulled those deaths forward, and so the long 120 00:07:09,840 --> 00:07:13,440 Speaker 1: range impact of those deaths is not going to be 121 00:07:13,880 --> 00:07:17,880 Speaker 1: that substantial. The people who are dying in their twenties 122 00:07:17,880 --> 00:07:20,760 Speaker 1: and their thirties and their forties are losing forty and 123 00:07:20,840 --> 00:07:24,200 Speaker 1: fifty years of life. And so it's why when you 124 00:07:24,280 --> 00:07:27,720 Speaker 1: go to a if you go to a funeral, a 125 00:07:27,920 --> 00:07:32,520 Speaker 1: child's funeral is infinitely more crushing than the funeral of 126 00:07:32,560 --> 00:07:34,880 Speaker 1: someone who is eighty years old and lived a full life. 127 00:07:34,960 --> 00:07:38,360 Speaker 1: And I don't think we're talking enough about these younger 128 00:07:38,360 --> 00:07:41,680 Speaker 1: people who are going to suffer the consequences of our 129 00:07:41,800 --> 00:07:46,640 Speaker 1: response to COVID in a way that is going to 130 00:07:46,640 --> 00:07:48,880 Speaker 1: take decades of life. Does that makes I know one 131 00:07:48,960 --> 00:07:51,080 Speaker 1: was talking about? And look at what the long term 132 00:07:51,120 --> 00:07:55,600 Speaker 1: impact will be on education, which while Randy Weingarten, the 133 00:07:56,000 --> 00:08:00,480 Speaker 1: chief propagandist of the teachers unions, is running arounding the 134 00:08:00,600 --> 00:08:04,480 Speaker 1: usual nonsense about how you know they were big champions 135 00:08:04,560 --> 00:08:07,440 Speaker 1: for education during the No, they weren't. They were doing 136 00:08:07,480 --> 00:08:10,440 Speaker 1: the bidding of a whole lot of lazy teachers unions 137 00:08:10,440 --> 00:08:13,280 Speaker 1: who wanted people to be able to stay home and 138 00:08:13,360 --> 00:08:16,480 Speaker 1: were called upon to mobilize against Trump the teachers unions 139 00:08:16,480 --> 00:08:18,680 Speaker 1: in twenty twenty in the election room. If you want 140 00:08:18,680 --> 00:08:24,520 Speaker 1: to talk about the Democrat machinery of election and power 141 00:08:24,560 --> 00:08:27,520 Speaker 1: in general, you gotta look at the teachers unions right away. 142 00:08:27,800 --> 00:08:33,480 Speaker 1: How many millions of American students now and again, Democrats 143 00:08:33,480 --> 00:08:36,840 Speaker 1: always pretend to care about minorities and about people who 144 00:08:36,960 --> 00:08:41,080 Speaker 1: are low income. In general, the people that were hurt 145 00:08:41,160 --> 00:08:45,839 Speaker 1: the most by the school lockdowns across America and in 146 00:08:45,880 --> 00:08:50,679 Speaker 1: the major cities particularly were children who were from low 147 00:08:50,720 --> 00:08:55,439 Speaker 1: income families, and a disproportionate number of them are children 148 00:08:55,640 --> 00:08:59,920 Speaker 1: from families that are families of color. And who knows 149 00:09:00,240 --> 00:09:02,600 Speaker 1: what this is going to mean for them for the 150 00:09:02,640 --> 00:09:05,800 Speaker 1: rest of their lives. Losing a developmental year, anybody who 151 00:09:05,840 --> 00:09:10,640 Speaker 1: actually understand education will tell you has substantial impact on 152 00:09:10,679 --> 00:09:13,600 Speaker 1: the trajectory of their education, on the choices they'll make, 153 00:09:13,640 --> 00:09:16,240 Speaker 1: on their ability to finish school, to stay away from drugs, 154 00:09:16,240 --> 00:09:19,400 Speaker 1: to have a productive life. And this was done because 155 00:09:19,400 --> 00:09:23,280 Speaker 1: of cowards who are adults. Children were never a substantial 156 00:09:23,400 --> 00:09:26,480 Speaker 1: enough risk, but Fauci was a little fascist coward wh 157 00:09:26,480 --> 00:09:30,000 Speaker 1: wouldn't keep the schools open. The teachers' unions wanted their 158 00:09:30,360 --> 00:09:32,920 Speaker 1: workers to be able to stay and just press play 159 00:09:32,960 --> 00:09:36,200 Speaker 1: at home for their zoom lesson or whatever. It was awful, man, 160 00:09:36,320 --> 00:09:38,280 Speaker 1: it was awful. We have not had a full accounting 161 00:09:38,320 --> 00:09:42,520 Speaker 1: of this as a society yet. No I agree, and sadly, 162 00:09:43,360 --> 00:09:46,360 Speaker 1: the consequences of that decision are going to continue to 163 00:09:46,360 --> 00:09:52,240 Speaker 1: echo for generations. And also it is profoundly the least 164 00:09:52,400 --> 00:09:55,600 Speaker 1: equal thing right for a party that is defining itself 165 00:09:55,640 --> 00:10:00,280 Speaker 1: by saying everything is racist and focusing on racism. The 166 00:10:00,400 --> 00:10:04,800 Speaker 1: single most racially impactful decision that most people will make 167 00:10:04,920 --> 00:10:09,080 Speaker 1: in their lives who were educators was will schools be 168 00:10:09,160 --> 00:10:13,720 Speaker 1: open or not? And overwhelmingly wealthy parents were able to 169 00:10:13,720 --> 00:10:17,840 Speaker 1: afford tutors, private school, state open. Buck, you were able 170 00:10:17,880 --> 00:10:20,520 Speaker 1: to find if you're really wealthy, you could change your 171 00:10:20,559 --> 00:10:23,559 Speaker 1: city or your state location to make sure that your 172 00:10:23,600 --> 00:10:28,959 Speaker 1: kids were able. We saw the biggest inequality of most 173 00:10:29,000 --> 00:10:33,440 Speaker 1: of our lives when schools stayed closed for over a year. 174 00:10:34,120 --> 00:10:36,320 Speaker 1: And by the way, the insanity is still not ending 175 00:10:36,360 --> 00:10:38,319 Speaker 1: when we come back in this next segment, Buck, I 176 00:10:38,360 --> 00:10:40,600 Speaker 1: want to hit you with this. We've talked about natural 177 00:10:40,600 --> 00:10:45,040 Speaker 1: immunity versus COVID vaccine immunity. There's some pretty staggering numbers 178 00:10:45,040 --> 00:10:48,720 Speaker 1: that have come out of Israel in terms of which 179 00:10:48,760 --> 00:10:51,600 Speaker 1: is providing better protection. We had the Cleveland Clinic. We 180 00:10:51,600 --> 00:10:54,000 Speaker 1: talked about this with Alex Berenson earlier in the week. 181 00:10:54,400 --> 00:10:56,240 Speaker 1: You haven't seen these numbers. I'm going to hit you 182 00:10:56,240 --> 00:10:58,040 Speaker 1: with them. I think you're going to be blown away 183 00:10:58,320 --> 00:11:03,040 Speaker 1: because it's pretty unbelievable to see what this data actually 184 00:11:03,200 --> 00:11:07,439 Speaker 1: is going to show us as it pertains to COVID 185 00:11:07,520 --> 00:11:10,720 Speaker 1: and what natural immunity versus I've planned. I've planned my 186 00:11:10,760 --> 00:11:14,200 Speaker 1: flag alongside the natural immunity side of this for a 187 00:11:14,320 --> 00:11:17,720 Speaker 1: long time now, because yes, I read the history of 188 00:11:17,880 --> 00:11:21,000 Speaker 1: vaccines and what's happened in the past to know what 189 00:11:21,000 --> 00:11:23,079 Speaker 1: would probably happen now. And it turns out it sounds 190 00:11:23,080 --> 00:11:25,600 Speaker 1: like Clay, You've got something that's gonna make me think 191 00:11:26,000 --> 00:11:28,439 Speaker 1: I was right again. Yeah, it was more like a 192 00:11:28,520 --> 00:11:32,000 Speaker 1: genius so and in the meantime also being a genius buck. 193 00:11:32,360 --> 00:11:36,400 Speaker 1: How about getting hooked up right now with protecting your home. 194 00:11:36,760 --> 00:11:41,520 Speaker 1: Your home can get stolen. It's crazy, it's wild. Right now, 195 00:11:41,960 --> 00:11:45,760 Speaker 1: cyber criminals are stalking you and they can get you 196 00:11:46,679 --> 00:11:50,600 Speaker 1: just absolutely taken advantage of They get the title documents 197 00:11:50,600 --> 00:11:53,600 Speaker 1: to your home. They're kept online. They then forge your 198 00:11:53,640 --> 00:11:56,400 Speaker 1: signature on a quick claim deed. Next thing, you know, 199 00:11:56,880 --> 00:12:00,400 Speaker 1: that person online, that cyber criminal owns your home. Then 200 00:12:00,440 --> 00:12:03,880 Speaker 1: they take out loans using your home's equity and you 201 00:12:03,920 --> 00:12:07,720 Speaker 1: are in major trouble. This is why we have home 202 00:12:07,720 --> 00:12:09,800 Speaker 1: title lock what do you need to do, Buck, Look, 203 00:12:09,880 --> 00:12:12,640 Speaker 1: Home title lock means that the instant there's tampering with 204 00:12:12,679 --> 00:12:15,680 Speaker 1: your home's title, which exists online, home title lock will 205 00:12:15,720 --> 00:12:18,880 Speaker 1: shut it down. All right. That's critical because otherwise, you 206 00:12:18,920 --> 00:12:21,000 Speaker 1: know how you find out about this Usually when the 207 00:12:21,360 --> 00:12:24,280 Speaker 1: payment demands arrive in the mail for loans you didn't 208 00:12:24,320 --> 00:12:26,760 Speaker 1: take out. You might even find out your home's title 209 00:12:26,760 --> 00:12:29,840 Speaker 1: has been stolen by getting an eviction notice. That's happened 210 00:12:29,840 --> 00:12:32,160 Speaker 1: to people. Don't let that happen to you. This is 211 00:12:32,280 --> 00:12:35,880 Speaker 1: easy to prevent if you take the right steps. Go 212 00:12:36,000 --> 00:12:39,040 Speaker 1: to hometitle lock dot com, register your address to see 213 00:12:39,040 --> 00:12:42,600 Speaker 1: if you're already a victim, and enter radio for thirty 214 00:12:42,640 --> 00:12:47,600 Speaker 1: free days of protection. That's promo code radio at hometitlelock 215 00:12:47,800 --> 00:13:01,000 Speaker 1: dot com. Walk back in Clay Travis Bucks Exton Show. 216 00:13:01,080 --> 00:13:04,000 Speaker 1: We are rolling through the Thursday edition of the program, 217 00:13:04,200 --> 00:13:07,200 Speaker 1: and Buck, you're gonna love this story because it's gonna 218 00:13:07,200 --> 00:13:10,160 Speaker 1: make you feel smart, smarter than you already did. You're 219 00:13:10,160 --> 00:13:13,240 Speaker 1: gonna love it, I know that's what That's what my 220 00:13:13,280 --> 00:13:16,079 Speaker 1: wife would say about me too. So we have a 221 00:13:16,160 --> 00:13:19,040 Speaker 1: story out of Israel. Okay, Israel is one of the 222 00:13:19,040 --> 00:13:23,199 Speaker 1: most vaccinated countries. In the world and they have now 223 00:13:23,440 --> 00:13:26,520 Speaker 1: been able. This is this is I'm reading from a 224 00:13:26,679 --> 00:13:33,800 Speaker 1: study here Israeli Israeli National News. They did Health Ministry 225 00:13:33,880 --> 00:13:37,680 Speaker 1: data to look at COVID outbreaks which have risen in 226 00:13:37,760 --> 00:13:42,280 Speaker 1: Israel since May, to try to look and compare immunity 227 00:13:42,400 --> 00:13:45,440 Speaker 1: from natural infection, that is, people who got COVID and 228 00:13:45,520 --> 00:13:50,720 Speaker 1: recovered from it, compared to immunity in COVID vaccinations. And 229 00:13:50,760 --> 00:13:52,800 Speaker 1: buck for people out there who are listening to us, 230 00:13:53,120 --> 00:13:55,920 Speaker 1: you and I have been at the forefront, I would say, 231 00:13:55,960 --> 00:13:58,760 Speaker 1: at least in the media sphere for sharing with our audience. 232 00:13:58,880 --> 00:14:02,920 Speaker 1: You had COVID, I had COVID. We both still have 233 00:14:03,400 --> 00:14:07,839 Speaker 1: antibodies to COVID. We have not gotten vaccinated yet. And 234 00:14:07,920 --> 00:14:10,840 Speaker 1: so there's zero, very little talk other than maybe with 235 00:14:10,920 --> 00:14:13,880 Speaker 1: rand Paul, who I think senator from Kentucky we're gonna 236 00:14:13,880 --> 00:14:18,000 Speaker 1: have on next week, very few points of discussion made 237 00:14:18,000 --> 00:14:20,880 Speaker 1: about the fact that like a hundred million people probably 238 00:14:20,920 --> 00:14:25,360 Speaker 1: conservatively in the United States have had COVID and recovered 239 00:14:25,400 --> 00:14:29,480 Speaker 1: from it based on data out there at at least Okay, 240 00:14:29,760 --> 00:14:33,240 Speaker 1: So nobody talks about that as it pertains to herd 241 00:14:33,280 --> 00:14:36,320 Speaker 1: immunity or how it's going to interact with vaccinations, But 242 00:14:36,960 --> 00:14:40,520 Speaker 1: more than seventy seven hundred new cases of the virus 243 00:14:40,520 --> 00:14:43,800 Speaker 1: have been detected during the most recent wave that is 244 00:14:43,840 --> 00:14:47,960 Speaker 1: going on right now in Israel. Just seventy two of 245 00:14:48,000 --> 00:14:52,280 Speaker 1: the people who tested positive for COVID were known to 246 00:14:52,560 --> 00:14:57,680 Speaker 1: have been infected previously. That's less than one percent of 247 00:14:57,720 --> 00:15:02,000 Speaker 1: the new cases. But Buck, forty percent of the new 248 00:15:02,080 --> 00:15:06,400 Speaker 1: cases that's more than three thousand patients involved people who 249 00:15:06,440 --> 00:15:13,400 Speaker 1: had been infected despite being vaccinated, So the instance of 250 00:15:13,560 --> 00:15:18,720 Speaker 1: reinfection in Israel is minuscule from people who knew that 251 00:15:18,800 --> 00:15:22,120 Speaker 1: they had COVID and got it again. According to this story, 252 00:15:22,360 --> 00:15:27,040 Speaker 1: Israeli's who were vaccinated were nearly seven times more likely 253 00:15:27,080 --> 00:15:31,280 Speaker 1: to get infected after the shot than those with natural 254 00:15:31,320 --> 00:15:35,320 Speaker 1: infection were likely to be reinfected, which would suggest, as 255 00:15:35,360 --> 00:15:39,000 Speaker 1: the Cleveland Clinic study already told us Buck, that people 256 00:15:39,040 --> 00:15:43,000 Speaker 1: who have already gotten COVID have much more natural immunity 257 00:15:43,000 --> 00:15:45,600 Speaker 1: protection than people who are getting the COVID vaccine. Two 258 00:15:45,680 --> 00:15:48,000 Speaker 1: levels here that I think we need to look at 259 00:15:48,000 --> 00:15:53,080 Speaker 1: and added into this one is what this means given 260 00:15:53,160 --> 00:15:56,400 Speaker 1: all of the health policy disputes out there right now 261 00:15:56,760 --> 00:16:02,720 Speaker 1: about mandatory vaccinations, for it's not necessarily government mandated. But 262 00:16:03,000 --> 00:16:05,120 Speaker 1: I know people, I've had friends. I'm sure you have 263 00:16:05,160 --> 00:16:07,800 Speaker 1: friends who are told you got you gotta vaccinate before 264 00:16:07,800 --> 00:16:10,320 Speaker 1: you come into the office. They're not allowing for any 265 00:16:10,640 --> 00:16:16,040 Speaker 1: any wavering on that. So that's non scientific. If somebody 266 00:16:16,120 --> 00:16:19,160 Speaker 1: can prove, if somebody has a confirmed COVID test, for example, 267 00:16:20,320 --> 00:16:22,680 Speaker 1: there is no reason to believe that they are any 268 00:16:22,760 --> 00:16:26,480 Speaker 1: more dangerous from a COVID perspective to be around that 269 00:16:26,520 --> 00:16:29,000 Speaker 1: a person who has been vaccinated based on the data 270 00:16:29,080 --> 00:16:31,760 Speaker 1: that you're showing, and that the Cleveland Clinic, a highly 271 00:16:31,800 --> 00:16:35,560 Speaker 1: reputable medical institution of the United States, is shown. So 272 00:16:35,720 --> 00:16:37,640 Speaker 1: that's a part of it. What I do think we 273 00:16:37,720 --> 00:16:40,640 Speaker 1: need to also look at is what does it mean 274 00:16:40,680 --> 00:16:43,720 Speaker 1: when we talk about infections, because there's so much leeway 275 00:16:43,760 --> 00:16:46,280 Speaker 1: on these things. Okay, we talk about an infection where 276 00:16:46,280 --> 00:16:48,840 Speaker 1: someone thinks they have a cold for two days, you know, 277 00:16:48,880 --> 00:16:52,760 Speaker 1: because the vaccine might have a and we've been led 278 00:16:52,760 --> 00:16:55,520 Speaker 1: to believe have a serious mitigating effect on the severity 279 00:16:55,520 --> 00:16:57,400 Speaker 1: of the disease the whole time. So that should be 280 00:16:57,520 --> 00:16:59,280 Speaker 1: that should be a part of this too. Now, it's 281 00:16:59,280 --> 00:17:03,560 Speaker 1: tough to line up mitigation of the of the virus 282 00:17:03,880 --> 00:17:08,239 Speaker 1: from natural versus vaccine derived immunity. But that also has 283 00:17:08,320 --> 00:17:10,600 Speaker 1: to be a thought process that we look at here, right, Well, 284 00:17:10,640 --> 00:17:13,800 Speaker 1: we really want to see our hospitalizations and debts and 285 00:17:14,119 --> 00:17:17,600 Speaker 1: who was vaccinated and or who had natural immunity. I 286 00:17:17,600 --> 00:17:20,560 Speaker 1: can tell you this, I haven't seen anywhere anybody who 287 00:17:20,760 --> 00:17:24,120 Speaker 1: beat the virus through natural immunity and then ended up 288 00:17:24,240 --> 00:17:26,359 Speaker 1: in I mean, I'm not saying it hasn't happened, but 289 00:17:26,400 --> 00:17:28,479 Speaker 1: I haven't seen any studies to suggest that that is 290 00:17:28,880 --> 00:17:34,000 Speaker 1: a real risk. That's right, and you know the discussion here, 291 00:17:34,359 --> 00:17:38,200 Speaker 1: and again I would encourage you if you enjoyed this discussion, 292 00:17:38,680 --> 00:17:41,240 Speaker 1: the one we had with Alex Barrenson earlier in the week. 293 00:17:41,240 --> 00:17:43,920 Speaker 1: It's up in the podcast. You can't find that discussion 294 00:17:43,960 --> 00:17:46,359 Speaker 1: buck anywhere else in media. I got a lot of 295 00:17:46,359 --> 00:17:48,080 Speaker 1: feedback I know you did too, where people were like, 296 00:17:48,200 --> 00:17:50,880 Speaker 1: thank you for really you gotta go deep on this 297 00:17:50,880 --> 00:17:53,080 Speaker 1: stuff because the talking points are what's gotten us to 298 00:17:53,119 --> 00:17:56,720 Speaker 1: the fauciite madness. There's no doubt at all. And speaking 299 00:17:56,760 --> 00:17:59,600 Speaker 1: of madness, how about making a bad decision when it 300 00:17:59,640 --> 00:18:05,440 Speaker 1: comes to your overall cellular carrier, your phone, your wireless carrier. 301 00:18:05,960 --> 00:18:09,160 Speaker 1: You know, what people are flocking to pure Talk because 302 00:18:09,480 --> 00:18:12,280 Speaker 1: in the past year alone, over twenty thousand of you 303 00:18:12,520 --> 00:18:15,840 Speaker 1: smart Rush listeners switch to pure Talk. Whether you're with 304 00:18:15,920 --> 00:18:19,080 Speaker 1: AT and T, Verizon or T Mobile, your family could 305 00:18:19,160 --> 00:18:23,160 Speaker 1: say up to eight hundred dollars a year just by 306 00:18:23,240 --> 00:18:26,399 Speaker 1: switching to pure Talk. Buck and I have the brand 307 00:18:26,400 --> 00:18:30,760 Speaker 1: new iPhone twelves. They work perfectly well and you can 308 00:18:30,840 --> 00:18:34,800 Speaker 1: save a bundle. Get unlimited talk text plus six gigs 309 00:18:34,880 --> 00:18:37,720 Speaker 1: of data all for just thirty bucks a month from 310 00:18:37,760 --> 00:18:40,080 Speaker 1: your cell phone. How do you do it? It's simple. 311 00:18:40,440 --> 00:18:44,000 Speaker 1: All you have to do is dal pound two fifty 312 00:18:44,400 --> 00:18:48,320 Speaker 1: and say pure Talk. You'll say fifty percent off your 313 00:18:48,359 --> 00:18:52,919 Speaker 1: first month. That's pound two five zero. Say pure Talk. 314 00:18:53,119 --> 00:18:55,320 Speaker 1: You'll get the option to get a one time auto 315 00:18:55,359 --> 00:18:57,919 Speaker 1: dialed text message from pure Talk, and you will be 316 00:18:58,080 --> 00:19:07,960 Speaker 1: on your way to saving an absolute bundle. This is 317 00:19:08,040 --> 00:19:11,600 Speaker 1: James Golden Poor both nerdly. I hope you're enjoying the 318 00:19:11,640 --> 00:19:15,919 Speaker 1: podcast series Rush Lumbaugh, the man behind the Golden EIB microphone. 319 00:19:16,320 --> 00:19:18,840 Speaker 1: There's a dozen episodes that will remind you of the 320 00:19:18,880 --> 00:19:23,080 Speaker 1: greatness of Rush with so many amazing stories shared. I'm 321 00:19:23,119 --> 00:19:26,399 Speaker 1: your host of this series, available wherever you listen to 322 00:19:26,520 --> 00:19:31,320 Speaker 1: podcast Tunnel to Towers Foundation and my pillow of both sponsors. 323 00:19:32,880 --> 00:19:35,760 Speaker 1: Welcome back to the Clay Travis and Buck Sexton Show. 324 00:19:35,880 --> 00:19:41,000 Speaker 1: I'm Buck Heaths Clay and I have two stories, and 325 00:19:41,200 --> 00:19:42,680 Speaker 1: I keep going to Clay. It's like, I'm not sure 326 00:19:42,760 --> 00:19:46,080 Speaker 1: which one of these is just more mind blowing. But 327 00:19:46,560 --> 00:19:49,520 Speaker 1: it goes to the overall thesis here that I raised 328 00:19:49,520 --> 00:19:53,160 Speaker 1: earlier with you, that there's something truly wrong. I mean, 329 00:19:53,400 --> 00:19:59,719 Speaker 1: there's a mental instability, an emotional hole at the center 330 00:19:59,800 --> 00:20:04,080 Speaker 1: of the Democratic Party today. There's a problem. They're disconnected 331 00:20:04,119 --> 00:20:07,600 Speaker 1: from reality and that's why they have to continue to 332 00:20:07,680 --> 00:20:11,520 Speaker 1: feed the base, the CNN watcher, the New York Times reader, 333 00:20:12,520 --> 00:20:16,359 Speaker 1: absolutely crazy stuff, I mean stuff that at this point 334 00:20:16,440 --> 00:20:19,080 Speaker 1: to put it out there, it's hard to Let me 335 00:20:19,119 --> 00:20:22,639 Speaker 1: start with this one. We have both an insurrection article 336 00:20:23,280 --> 00:20:27,720 Speaker 1: and kicking it like it's twenty sixteen, twenty seventeen all 337 00:20:27,720 --> 00:20:32,919 Speaker 1: over again, a Russia collusion piece from today. Let me 338 00:20:32,960 --> 00:20:37,280 Speaker 1: start with the Russia collusion piece. There is a claim 339 00:20:37,440 --> 00:20:41,720 Speaker 1: in The Guardian, which is a left left wing newspaper 340 00:20:41,760 --> 00:20:47,280 Speaker 1: in the UK, that Putin did in fact have compromat, 341 00:20:47,520 --> 00:20:52,840 Speaker 1: which is the Russian intel term for compromising information, blackmail 342 00:20:52,880 --> 00:20:59,359 Speaker 1: material on Trump specifically in Moscow, specifically perhaps the I 343 00:20:59,359 --> 00:21:02,160 Speaker 1: don't even know what to call it, but the allegation 344 00:21:02,359 --> 00:21:05,080 Speaker 1: of stuff happening in Moscow that was in the initial dossier, 345 00:21:05,640 --> 00:21:08,040 Speaker 1: and that Putin backed him to win an election because 346 00:21:08,080 --> 00:21:12,600 Speaker 1: he was quote mentally unstable and would create social turmoil 347 00:21:12,640 --> 00:21:15,679 Speaker 1: in the US. Clay, So this week we'll get to 348 00:21:15,680 --> 00:21:19,120 Speaker 1: our insurrection story in a minute. Another lunatic thing, but 349 00:21:19,640 --> 00:21:23,520 Speaker 1: here we have a very I mean, the Guardian is 350 00:21:23,560 --> 00:21:27,520 Speaker 1: really the most respected left wing paper in the UK, 351 00:21:27,680 --> 00:21:30,840 Speaker 1: I think you could say that, and they're they're going 352 00:21:31,040 --> 00:21:34,520 Speaker 1: right back to the Russia collusion. Well, with leaked Kremlin documents. 353 00:21:35,240 --> 00:21:36,639 Speaker 1: I would just want to ask them, do they not 354 00:21:36,800 --> 00:21:38,719 Speaker 1: do they not know? I thought we had all been 355 00:21:38,760 --> 00:21:43,920 Speaker 1: told that Russia is full of lies and disinformation disinformatzia 356 00:21:44,320 --> 00:21:47,119 Speaker 1: as they call it. How could we ever look at 357 00:21:47,119 --> 00:21:50,200 Speaker 1: this and take this seriously? After all the Special Council, 358 00:21:50,560 --> 00:21:53,280 Speaker 1: these people are nuts, Clay, that's these people are actually 359 00:21:53,280 --> 00:21:56,679 Speaker 1: out of their minds. Yeah, and it just it doesn't 360 00:21:56,720 --> 00:21:58,800 Speaker 1: matter at this point, does it. I mean, we know 361 00:21:58,880 --> 00:22:02,000 Speaker 1: it's a falsehood, and the fact that they can't let 362 00:22:02,040 --> 00:22:04,320 Speaker 1: go of that falsehood. Here is what I always say, like, 363 00:22:04,560 --> 00:22:07,040 Speaker 1: try to focus on the facts of the matter at hand. 364 00:22:07,760 --> 00:22:11,199 Speaker 1: Anybody who has ever been involved in digital media, the 365 00:22:11,240 --> 00:22:15,320 Speaker 1: amount of money that was spent by Russia on Facebook, 366 00:22:15,359 --> 00:22:19,760 Speaker 1: for instance, is such a tiny pen prick, Like we 367 00:22:19,840 --> 00:22:22,760 Speaker 1: talk about just kind of behind the scenes. We will 368 00:22:22,800 --> 00:22:27,040 Speaker 1: advertise OutKick products on Facebook, and we talk about the 369 00:22:27,119 --> 00:22:30,320 Speaker 1: return that we get, right So for any advertiser out there, 370 00:22:30,680 --> 00:22:33,600 Speaker 1: you want to spend money and then make more money 371 00:22:33,600 --> 00:22:36,240 Speaker 1: if you can, then you are spending right Like. That's 372 00:22:36,280 --> 00:22:39,639 Speaker 1: the entire purpose of advertising in general is to be 373 00:22:39,680 --> 00:22:41,920 Speaker 1: able to see a return on your investment, which, by 374 00:22:41,920 --> 00:22:45,040 Speaker 1: the way, our advertisers here do and you should be 375 00:22:45,040 --> 00:22:46,840 Speaker 1: advertising on this show as well because it's a great 376 00:22:46,840 --> 00:22:51,920 Speaker 1: return on investment. But Facebook, Facebook, we would buy ads 377 00:22:52,080 --> 00:22:55,480 Speaker 1: on OutKick and try to get what we called a 378 00:22:55,600 --> 00:22:57,639 Speaker 1: rolla right like, so if we spend a dollar, we 379 00:22:57,720 --> 00:23:00,520 Speaker 1: wanted to see a return of two dollars or dollars 380 00:23:00,520 --> 00:23:05,320 Speaker 1: based on what we're spending. You have to spend massive 381 00:23:05,400 --> 00:23:09,560 Speaker 1: amounts of money to see a tangible return on Facebook. 382 00:23:10,040 --> 00:23:14,280 Speaker 1: The money that was being spent by Russia was such 383 00:23:14,320 --> 00:23:18,639 Speaker 1: a tiny penprick of overall election spending that I looked 384 00:23:18,640 --> 00:23:20,639 Speaker 1: at this data from the first point, I was like, 385 00:23:20,880 --> 00:23:24,560 Speaker 1: the idea that this is going to somehow swing an 386 00:23:24,560 --> 00:23:30,040 Speaker 1: election was such an insane why that it made no 387 00:23:30,119 --> 00:23:32,960 Speaker 1: sense for anyone who has ever spent money on the 388 00:23:33,000 --> 00:23:37,480 Speaker 1: internet at all, Because it's the equivalent of saying, basically like, hey, 389 00:23:37,520 --> 00:23:42,239 Speaker 1: this small hotel that's advertising in Vermont is somehow going 390 00:23:42,280 --> 00:23:45,200 Speaker 1: to beat Marriott, Right, Like the election is so massive 391 00:23:45,240 --> 00:23:47,080 Speaker 1: and the money is so massid But that's it. That's it. 392 00:23:47,280 --> 00:23:51,639 Speaker 1: That's one of the threads of the Russia collusion fantasy 393 00:23:51,720 --> 00:23:55,359 Speaker 1: they're talking about. This is the action, probably the one 394 00:23:55,400 --> 00:23:58,760 Speaker 1: that's the most discredited of all, which some people refer 395 00:23:58,920 --> 00:24:00,600 Speaker 1: I don't know if I could say, like, I don't 396 00:24:00,600 --> 00:24:02,960 Speaker 1: know how we confer to the tape. This, this is 397 00:24:03,000 --> 00:24:08,800 Speaker 1: the dossier where they discussed yeah, yeah, there was a 398 00:24:09,160 --> 00:24:12,680 Speaker 1: bodily function, Yeah, a shower. You know, I gotta We're 399 00:24:12,680 --> 00:24:14,120 Speaker 1: on radio, so I don't know how to say these things. 400 00:24:14,320 --> 00:24:16,919 Speaker 1: Point being, they're going right back to this and you're 401 00:24:16,960 --> 00:24:19,360 Speaker 1: asking why it matters. I mean, Clay, it matters because 402 00:24:20,320 --> 00:24:24,760 Speaker 1: Democrats still believe this crap. Well that after the special 403 00:24:25,080 --> 00:24:28,520 Speaker 1: that is crazy. That is crazy that you believe it, 404 00:24:28,640 --> 00:24:32,600 Speaker 1: and Trump is very possibly going to run for presidents again. 405 00:24:32,640 --> 00:24:34,959 Speaker 1: And so what I'm here to tell everybody is that 406 00:24:35,000 --> 00:24:39,919 Speaker 1: the lunatic Libs who are running around decrying disinformation and 407 00:24:40,160 --> 00:24:43,600 Speaker 1: saying it's Jim Crow two point zero to say that 408 00:24:43,640 --> 00:24:46,240 Speaker 1: you gotta only vote for twenty days and not you know, 409 00:24:46,280 --> 00:24:50,200 Speaker 1: twenty five before an election, those same libs are gonna 410 00:24:50,240 --> 00:24:54,200 Speaker 1: start talking about the Russia collusion nonsense again. And I'm 411 00:24:54,240 --> 00:24:57,040 Speaker 1: not even done with their craziness for today because there's 412 00:24:57,440 --> 00:25:00,360 Speaker 1: I got another one, No, there can't be more, got 413 00:25:00,359 --> 00:25:05,479 Speaker 1: another one CNN reporting on Washington Post stories. And if 414 00:25:05,480 --> 00:25:06,960 Speaker 1: you ask me, Buck, why are you spending time on 415 00:25:07,000 --> 00:25:11,040 Speaker 1: this because about thirty to forty percent of the country, unfortunately, 416 00:25:11,520 --> 00:25:14,040 Speaker 1: is going to believe this crap. So it's important that 417 00:25:14,200 --> 00:25:17,840 Speaker 1: somewhere we can all go and have truth and sanity 418 00:25:18,160 --> 00:25:22,120 Speaker 1: as the mission statement instead of anything to stop Orange 419 00:25:22,160 --> 00:25:26,760 Speaker 1: Man bad. Top generals feared Trump would attempt to coup 420 00:25:26,840 --> 00:25:29,960 Speaker 1: this up on CNN right now, a coup after the election. 421 00:25:30,000 --> 00:25:33,880 Speaker 1: According a new book and General Millie, he of critical 422 00:25:33,960 --> 00:25:38,560 Speaker 1: race theory is essential to military readiness. General Millie was 423 00:25:38,560 --> 00:25:43,200 Speaker 1: supposedly saying, according to two Washington Post reporters, including a 424 00:25:43,240 --> 00:25:45,720 Speaker 1: Pulitzer Prize winner, as if that's supposed to mean something. 425 00:25:46,160 --> 00:25:47,920 Speaker 1: The New York Times, you know, got a Pulitzer Prize 426 00:25:47,920 --> 00:25:50,399 Speaker 1: for the Russia collusion reporting. So and Ky also got 427 00:25:50,440 --> 00:25:53,280 Speaker 1: a Pulitzer Prize for sixteen nineteen project. This is kind 428 00:25:53,280 --> 00:25:56,199 Speaker 1: of like, you know, air Fat getting a Nobel Peace Prize, right, Like, 429 00:25:56,240 --> 00:26:00,160 Speaker 1: at some point people realize this stuff is too absurd anyway, 430 00:26:00,800 --> 00:26:06,560 Speaker 1: They're not going to blanking succeed. Millie apparently said, and 431 00:26:06,600 --> 00:26:09,800 Speaker 1: there was an entire effort among he was the chairman 432 00:26:09,840 --> 00:26:13,439 Speaker 1: of the Joint Chiefs of Staff, and the authors claim 433 00:26:14,160 --> 00:26:16,440 Speaker 1: that they had they were worried that Trump was going 434 00:26:16,520 --> 00:26:21,119 Speaker 1: to straight up order a real insurrection. So, you know, 435 00:26:21,400 --> 00:26:23,480 Speaker 1: to your point, and Milly Milly said that this is 436 00:26:23,520 --> 00:26:27,600 Speaker 1: a Reichstag moment according to the book The Gospel of 437 00:26:27,640 --> 00:26:31,719 Speaker 1: the Fuer. I mean, if he look, Millie is one 438 00:26:31,760 --> 00:26:34,159 Speaker 1: of these crazy Democrat lib types who happens to be 439 00:26:34,200 --> 00:26:36,320 Speaker 1: in the military and is really a politician. So that's 440 00:26:36,359 --> 00:26:40,120 Speaker 1: not a surprise. But to have said if he even 441 00:26:40,240 --> 00:26:43,760 Speaker 1: said that the Gospel of the Furred, or to refer 442 00:26:43,960 --> 00:26:45,760 Speaker 1: you're the chairman of the Joint Chiefs of staff. That's 443 00:26:45,760 --> 00:26:48,200 Speaker 1: who you're going to talk about a sitting US president. 444 00:26:48,359 --> 00:26:50,359 Speaker 1: I mean, I really think that Libs are suffering from 445 00:26:50,400 --> 00:26:53,560 Speaker 1: a mass mental illness. I also think I always like 446 00:26:53,600 --> 00:26:55,480 Speaker 1: to do this. I bet you play this game too. 447 00:26:56,440 --> 00:27:01,600 Speaker 1: Millie leaked to that story, right, you can always tell. 448 00:27:01,840 --> 00:27:05,200 Speaker 1: I think who is the leaker of a story by 449 00:27:05,240 --> 00:27:08,640 Speaker 1: who benefits the most from the story being out. So 450 00:27:08,800 --> 00:27:12,199 Speaker 1: Millie gets to pop his chest out and say I 451 00:27:12,359 --> 00:27:14,439 Speaker 1: was going to stand up for democracy. I was going 452 00:27:14,480 --> 00:27:19,080 Speaker 1: to stand up for Donald Trump. And there's no suggestion 453 00:27:20,400 --> 00:27:22,360 Speaker 1: at all that I've seen. And you know, it would 454 00:27:22,359 --> 00:27:26,000 Speaker 1: have been reported everywhere. If Trump had talked about calling 455 00:27:26,000 --> 00:27:30,520 Speaker 1: out the military to stop Joe Biden's inauguration or refuse 456 00:27:30,640 --> 00:27:32,800 Speaker 1: to leave the White House or whatever it had been, 457 00:27:34,040 --> 00:27:37,639 Speaker 1: that story, even if it weren't true, would have been 458 00:27:37,680 --> 00:27:41,159 Speaker 1: everywhere because it's so incredibly negative to Trump. That to me, 459 00:27:41,359 --> 00:27:44,040 Speaker 1: when I dissect this story that you're sharing right now, 460 00:27:44,320 --> 00:27:46,920 Speaker 1: it makes me think General Millie is talking to these 461 00:27:46,920 --> 00:27:50,359 Speaker 1: Washington Post reporters to try to make himself look like 462 00:27:50,400 --> 00:27:55,040 Speaker 1: a star. It's unreal that this is the kind of 463 00:27:55,040 --> 00:27:58,600 Speaker 1: stuff that we're still But there's also a need in 464 00:27:58,640 --> 00:28:02,600 Speaker 1: the Democrat mind right now, to have these stories of 465 00:28:02,880 --> 00:28:07,760 Speaker 1: existential threat from Trump even though he's not in office anymore. Right, Yeah, 466 00:28:07,880 --> 00:28:12,320 Speaker 1: this is leading on CNN, This is leading. They need him, 467 00:28:12,800 --> 00:28:15,520 Speaker 1: he is there. They need him like CNN. I mean, 468 00:28:15,560 --> 00:28:17,360 Speaker 1: if you look at the ratings, they've lost seventy five 469 00:28:17,359 --> 00:28:21,080 Speaker 1: percent of their audience without Trump. They are desperate to 470 00:28:21,200 --> 00:28:23,080 Speaker 1: have Donald Trump in office. I mean, it's killed their 471 00:28:23,119 --> 00:28:25,320 Speaker 1: business that he's not there, and they need him to 472 00:28:25,400 --> 00:28:28,720 Speaker 1: run again in twenty twenty four. That's what has to happen, buck, 473 00:28:28,920 --> 00:28:32,000 Speaker 1: or they are afraid that they help their business will 474 00:28:32,040 --> 00:28:35,439 Speaker 1: suffer to such an extent. There is no other villain 475 00:28:35,800 --> 00:28:39,000 Speaker 1: that they can find. They are addicted to Donald Trump 476 00:28:39,040 --> 00:28:41,480 Speaker 1: and every negative story they can find about him. And 477 00:28:41,520 --> 00:28:43,160 Speaker 1: also all of us, all of us who work in 478 00:28:43,440 --> 00:28:46,920 Speaker 1: political commentary and stuff. I gotta tell you, man, those 479 00:28:46,960 --> 00:28:49,800 Speaker 1: were those were the glory days when you would wake 480 00:28:49,880 --> 00:28:52,360 Speaker 1: up in the morning, say, what's even gonna happen today, Clay, 481 00:28:52,760 --> 00:28:56,040 Speaker 1: did you see that Trump tweet? And bam, the media 482 00:28:56,120 --> 00:28:58,680 Speaker 1: would freak out. There'd be all kinds of stuff they'd 483 00:28:58,720 --> 00:29:00,880 Speaker 1: yell about, fascism of it. It would just be like, 484 00:29:00,960 --> 00:29:03,680 Speaker 1: let's roll up the sleeves and make libs cry. It's 485 00:29:03,720 --> 00:29:07,240 Speaker 1: good times. I was buck up so early doing my 486 00:29:07,360 --> 00:29:10,920 Speaker 1: morning sports talk radio show, and Trump would be like 487 00:29:10,960 --> 00:29:12,840 Speaker 1: the only other person that was up that early. So 488 00:29:12,880 --> 00:29:14,840 Speaker 1: I'd scroll through my Twitter feed and'd be like me 489 00:29:14,920 --> 00:29:17,280 Speaker 1: talking about what happened the night before, and Trump taken shots. 490 00:29:17,320 --> 00:29:21,000 Speaker 1: It was pretty amazing. We have some critical race theory 491 00:29:21,040 --> 00:29:23,520 Speaker 1: stuff to dive into coming up here with Anne Culture 492 00:29:23,520 --> 00:29:25,920 Speaker 1: and just a little bit, so stick around for that. 493 00:29:26,040 --> 00:29:29,640 Speaker 1: Plus Clay has a story about Major League Baseball not 494 00:29:29,800 --> 00:29:33,000 Speaker 1: having a great All Star situation in terms of the ratings. 495 00:29:33,400 --> 00:29:36,040 Speaker 1: But I want your dog to stay as healthy as possible. 496 00:29:36,080 --> 00:29:38,640 Speaker 1: We love to Lula the family dog, little French bulldog. 497 00:29:38,680 --> 00:29:40,640 Speaker 1: They actually have photos of her up now on the 498 00:29:40,680 --> 00:29:43,440 Speaker 1: website so you could see her. But we've been given 499 00:29:43,480 --> 00:29:46,000 Speaker 1: her rough greens for a while now. And rough greens 500 00:29:46,120 --> 00:29:50,520 Speaker 1: is not actually dog food. It's a healthy supplement that 501 00:29:50,560 --> 00:29:52,920 Speaker 1: you add into your dog's food. You give it all 502 00:29:52,920 --> 00:29:57,320 Speaker 1: the live nutrients necessary for optimum dog health all right. 503 00:29:57,400 --> 00:30:01,080 Speaker 1: Twenty three all natural vitamins and min rules in rough greens, 504 00:30:01,400 --> 00:30:06,560 Speaker 1: twenty digestive enzymes, fifteen powerful strains of antibiotics, and much more. 505 00:30:06,960 --> 00:30:10,760 Speaker 1: Simply put, rough greens is the head detail nutrition your 506 00:30:10,920 --> 00:30:14,040 Speaker 1: furry friend has been missing. The folks at rough Greens 507 00:30:14,040 --> 00:30:16,520 Speaker 1: are so confident your dog is gonna love rough Greens, 508 00:30:16,720 --> 00:30:19,280 Speaker 1: they've worked out a special deal for listeners to this show. 509 00:30:19,640 --> 00:30:22,880 Speaker 1: Gonna Roughgreens dot Com slash Clay and Buck, and they're 510 00:30:22,880 --> 00:30:25,560 Speaker 1: gonna give you the first bag free. You heard us 511 00:30:25,640 --> 00:30:28,720 Speaker 1: right free. Just cover the shipping and your freebag of 512 00:30:28,800 --> 00:30:30,760 Speaker 1: rough Greens will be on its way to your home. 513 00:30:31,160 --> 00:30:34,880 Speaker 1: Are you f roughgreens dot com slash Clay and Buck. 514 00:30:35,280 --> 00:30:38,760 Speaker 1: That's Roughgreens dot Com slash Clay and Buck for your 515 00:30:38,840 --> 00:30:53,600 Speaker 1: freebag of Roughgreens. Walking back in, we're closing out the 516 00:30:53,920 --> 00:30:57,200 Speaker 1: second hour of the program. We're about to be joined 517 00:30:57,200 --> 00:31:00,000 Speaker 1: by and Culture. Should be fun to talk at her 518 00:31:00,040 --> 00:31:04,120 Speaker 1: about all of the absurdity surrounding critical race theory. She 519 00:31:04,160 --> 00:31:06,880 Speaker 1: had a great column dissecting it, and we will bring 520 00:31:06,880 --> 00:31:09,280 Speaker 1: her in to start the third hour of the program. 521 00:31:09,360 --> 00:31:12,080 Speaker 1: Encourage you, as always go subscribe to the podcasting search 522 00:31:12,080 --> 00:31:13,840 Speaker 1: out my name. You don't even have to type in 523 00:31:13,880 --> 00:31:15,840 Speaker 1: our full names. You can just type in Clay or 524 00:31:15,920 --> 00:31:19,840 Speaker 1: Buck on iTunes, for example, Boom podcast comes up. You 525 00:31:19,920 --> 00:31:22,920 Speaker 1: go subscribe. You make sure you don't miss a single minute, 526 00:31:23,320 --> 00:31:27,880 Speaker 1: and we've been talking about all of the there's a well, 527 00:31:27,920 --> 00:31:30,560 Speaker 1: I mean all of the ridiculousness. I feel like there's 528 00:31:30,600 --> 00:31:34,200 Speaker 1: just a continued spiral of absurdity that is out there 529 00:31:34,920 --> 00:31:39,920 Speaker 1: surrounding virtually everything, whether it's Cuba and BLM's perspective, whether 530 00:31:39,960 --> 00:31:43,200 Speaker 1: it is what's going on right now with COVID as 531 00:31:43,200 --> 00:31:46,680 Speaker 1: the madness continues to build, and as a part of that, 532 00:31:47,160 --> 00:31:50,120 Speaker 1: we have got I believe it has cut twenty one. 533 00:31:50,200 --> 00:31:52,480 Speaker 1: If we can play that here, because you're going to 534 00:31:52,600 --> 00:31:56,720 Speaker 1: hear this, doctor Lena Wynn says kids have to keep 535 00:31:56,800 --> 00:32:01,080 Speaker 1: wearing masks indoors, even though none of the science supports 536 00:32:01,080 --> 00:32:03,880 Speaker 1: it at all. I don't understand this personal choice that 537 00:32:04,120 --> 00:32:06,320 Speaker 1: some people are making. I mean, what kind of choice 538 00:32:06,440 --> 00:32:10,240 Speaker 1: is it to infect other people, including other people's children. 539 00:32:10,480 --> 00:32:12,800 Speaker 1: And so I think parents should know that they need 540 00:32:12,840 --> 00:32:15,080 Speaker 1: to do their best to protect their children by getting 541 00:32:15,160 --> 00:32:18,320 Speaker 1: vaccinated themselves, as doctor Bolenski very well said. And I 542 00:32:18,360 --> 00:32:20,360 Speaker 1: think we also have to keep in mind that indoor 543 00:32:20,400 --> 00:32:23,960 Speaker 1: masking remains important for our young children. If they're not 544 00:32:24,040 --> 00:32:26,560 Speaker 1: yet able to be vaccinated, they should still be wearing 545 00:32:26,560 --> 00:32:31,440 Speaker 1: masks indoors, including in the classroom. This is authoritarian idiocy, Clay, 546 00:32:31,480 --> 00:32:35,280 Speaker 1: I mean this is completely First of all, she's the 547 00:32:35,280 --> 00:32:38,200 Speaker 1: former head of Planned parententor so you would think that choice, 548 00:32:38,440 --> 00:32:42,600 Speaker 1: which is their euphemism for killing unborn babies, choice, is 549 00:32:42,640 --> 00:32:44,720 Speaker 1: something that she would be in favor of. But on 550 00:32:44,800 --> 00:32:47,120 Speaker 1: this one, she doesn't understand why you wouldn't want to 551 00:32:47,680 --> 00:32:50,120 Speaker 1: mask up your five year old or your six year 552 00:32:50,160 --> 00:32:53,960 Speaker 1: old all day through. I mean, these it is a Clay. 553 00:32:54,240 --> 00:32:56,200 Speaker 1: It's a religion. I don't know what else to say. 554 00:32:56,320 --> 00:32:59,040 Speaker 1: Masking has turned into a religion for people. It's child 555 00:32:59,040 --> 00:33:02,480 Speaker 1: abuse at this point. It is. It is, in my opinion, 556 00:33:02,640 --> 00:33:07,960 Speaker 1: making young kids wear child wear masks everywhere, despite none 557 00:33:07,960 --> 00:33:10,880 Speaker 1: of the science supporting it at all. We know this. 558 00:33:11,800 --> 00:33:15,400 Speaker 1: It's child abuse. And I'm predicting, and I hope I'm 559 00:33:15,480 --> 00:33:20,640 Speaker 1: right on this. We're gonna see some mom riots over masking. 560 00:33:20,760 --> 00:33:23,000 Speaker 1: I know you don't believe that, dude, You think is 561 00:33:23,040 --> 00:33:26,480 Speaker 1: I would be out there with the moms waging placards. 562 00:33:26,520 --> 00:33:28,360 Speaker 1: I want to help those moms. I just don't know 563 00:33:28,400 --> 00:33:30,720 Speaker 1: if there's gonna be the You know, moms are busy, man, 564 00:33:30,800 --> 00:33:33,520 Speaker 1: that you know that. I am telling you there is 565 00:33:33,640 --> 00:33:38,160 Speaker 1: an uprising coming of moms where they have like look 566 00:33:38,560 --> 00:33:41,800 Speaker 1: last year, moms against masks that actually against masks. Look 567 00:33:41,880 --> 00:33:45,840 Speaker 1: look at ma'am, we got an acorn importable. We might 568 00:33:45,880 --> 00:33:49,640 Speaker 1: even get that website reserve. I have just I can 569 00:33:49,800 --> 00:33:53,800 Speaker 1: feel the percolating madness that is out there from moms 570 00:33:53,800 --> 00:33:55,520 Speaker 1: because Buck, this is one of the stories nobody wanted 571 00:33:55,520 --> 00:33:58,840 Speaker 1: to talk about. You know, women's unemployment rate hit a 572 00:33:59,000 --> 00:34:02,400 Speaker 1: thirty year hi because so many moms had to stay 573 00:34:02,400 --> 00:34:04,880 Speaker 1: home because they bear the brunt of childcare and they 574 00:34:04,920 --> 00:34:07,040 Speaker 1: weren't able to go out to work and everything else. 575 00:34:07,400 --> 00:34:11,759 Speaker 1: And I can feel the anger, the seething anger. I 576 00:34:11,840 --> 00:34:14,520 Speaker 1: could actually feel it. If we opened up phone lines 577 00:34:14,600 --> 00:34:16,560 Speaker 1: right now and we said, hey, moms, are you ready 578 00:34:16,560 --> 00:34:19,280 Speaker 1: to riot over masks? I think we could take calls 579 00:34:19,320 --> 00:34:22,280 Speaker 1: for that Buck for months in a row, just that topic. 580 00:34:22,320 --> 00:34:24,439 Speaker 1: That's how fired. I don't you have kids. I don't 581 00:34:24,480 --> 00:34:27,560 Speaker 1: have kids, but I can tell you this. If someone 582 00:34:27,640 --> 00:34:30,279 Speaker 1: told me, for example, if I was walking with a 583 00:34:30,280 --> 00:34:32,520 Speaker 1: family member and I've got I've got two brothers, a sister, 584 00:34:33,200 --> 00:34:36,400 Speaker 1: if I was walking someone said, tell tell them to 585 00:34:36,680 --> 00:34:40,680 Speaker 1: mask up outside inside, it would it would lead to 586 00:34:41,640 --> 00:34:44,920 Speaker 1: what I would say on radio would be salty language 587 00:34:45,040 --> 00:34:49,359 Speaker 1: from me. That's that's what would guaranteed. Because I'm done 588 00:34:49,400 --> 00:34:51,319 Speaker 1: with these people. They got to stop. They've all had 589 00:34:51,320 --> 00:34:53,440 Speaker 1: a chance to get vaccinated. They say the vaccine, The 590 00:34:53,520 --> 00:34:57,040 Speaker 1: vaccines are super effective and great. Good. Shut up about masks. 591 00:34:57,040 --> 00:34:59,160 Speaker 1: I don't want to hear it anymore. But doctor Wynne 592 00:34:59,200 --> 00:35:01,200 Speaker 1: goes on seeing it's tell people this is because remember, 593 00:35:01,600 --> 00:35:03,840 Speaker 1: masking was not only supposed to be a cheap and 594 00:35:03,920 --> 00:35:06,600 Speaker 1: effective way to defend yourself from the virus, which as 595 00:35:06,600 --> 00:35:09,239 Speaker 1: we know, turned out to really not be true. But 596 00:35:09,640 --> 00:35:11,360 Speaker 1: beyond that, and you can go and read about the 597 00:35:11,400 --> 00:35:14,319 Speaker 1: influenza pandemic of nineteen eighteen and the mask fights. Then 598 00:35:14,800 --> 00:35:19,319 Speaker 1: masks cloth masks didn't do a damn thing. But beyond that, 599 00:35:20,239 --> 00:35:23,759 Speaker 1: it's an easy way, clay to show your political allegiance 600 00:35:23,880 --> 00:35:26,800 Speaker 1: and what a good person you are. Masks are maga 601 00:35:26,840 --> 00:35:30,440 Speaker 1: hats for people who don't like America. That's really what 602 00:35:30,440 --> 00:35:32,920 Speaker 1: it's turned into. No, I think that's one hundred percent right. 603 00:35:32,920 --> 00:35:35,920 Speaker 1: It is cosmetic theater, and I gotta I know this 604 00:35:36,000 --> 00:35:38,280 Speaker 1: is this frustrate you too. I'm flying up to Michigan 605 00:35:38,280 --> 00:35:41,359 Speaker 1: tomorrow for my wife's We got an event going on 606 00:35:41,719 --> 00:35:44,440 Speaker 1: and I'm already angry about the fact that in the 607 00:35:44,840 --> 00:35:48,120 Speaker 1: good state of Tennessee, the only place people are wearing masks. 608 00:35:48,160 --> 00:35:50,440 Speaker 1: I'm gonna have to get in my car, drive to 609 00:35:50,480 --> 00:35:53,000 Speaker 1: the airport, find the masks. All the kids are gonna 610 00:35:53,040 --> 00:35:54,480 Speaker 1: have to put them on, and we're gonna have to 611 00:35:54,520 --> 00:36:00,560 Speaker 1: go through this ridiculous kabuki theater absurdity of wearing masks, 612 00:36:00,880 --> 00:36:04,160 Speaker 1: only to fly to Michigan, whereupon we will immediately take 613 00:36:04,239 --> 00:36:06,919 Speaker 1: him off. All though, just be maybe in Gretchen Whitmer's town. 614 00:36:06,960 --> 00:36:09,480 Speaker 1: I gotta state I gotta be nervous, be careful if 615 00:36:09,480 --> 00:36:12,520 Speaker 1: you're flying spirit, my friend, because that mask dips down 616 00:36:12,600 --> 00:36:15,839 Speaker 1: below your nose. They're gonna break out the electrodes cuff 617 00:36:15,920 --> 00:36:18,240 Speaker 1: you throw you off the side. You're gonna be in trouble. 618 00:36:18,800 --> 00:36:20,759 Speaker 1: I don't doubt that at all. That's where we are. 619 00:36:20,920 --> 00:36:23,000 Speaker 1: I mean, you saw it happen. They had the three 620 00:36:23,040 --> 00:36:26,120 Speaker 1: girls who were trying to go away for July fourth weekend, 621 00:36:26,400 --> 00:36:28,439 Speaker 1: and they got kicked off the plane. My favorite part 622 00:36:28,440 --> 00:36:30,040 Speaker 1: of it was the guy sitting next We didn't really 623 00:36:30,040 --> 00:36:32,600 Speaker 1: didn't know who it was. He's going He's like, hey, 624 00:36:32,680 --> 00:36:34,920 Speaker 1: because he saw me live tweeting on the airplane when 625 00:36:34,920 --> 00:36:37,120 Speaker 1: they're kicking the people off of the bad Mask goes, hey, 626 00:36:37,320 --> 00:36:39,480 Speaker 1: do you have a pretty big Twitter following? And I 627 00:36:39,480 --> 00:36:42,000 Speaker 1: showed him my Twitter and he goes, oh, man, everyone's 628 00:36:42,040 --> 00:36:46,880 Speaker 1: gonna see this. That's fantastic. Well, everyone's gonna hear this 629 00:36:46,960 --> 00:36:49,600 Speaker 1: next interview. I think it's gonna be pretty great. Your friend, 630 00:36:49,600 --> 00:36:51,759 Speaker 1: how long have you known Ann? By the way, long, long, 631 00:36:51,840 --> 00:36:53,880 Speaker 1: long time. She's amazing. She's gonna be a lot of 632 00:36:53,920 --> 00:36:57,640 Speaker 1: fun folks, critical race theory. She dives into what it 633 00:36:57,800 --> 00:37:01,120 Speaker 1: really is you're gonna need. I wonder if she buys 634 00:37:01,160 --> 00:37:03,680 Speaker 1: into my theory about the mom Mask ride. Ask her 635 00:37:04,080 --> 00:37:06,640 Speaker 1: she'll get into it. Coming up in a few seconds, 636 00:37:06,680 --> 00:37:14,360 Speaker 1: add Calter. You're listening to Clay Travis and Buck Sexton 637 00:37:14,560 --> 00:37:16,440 Speaker 1: on the EIB Network.