1 00:00:00,200 --> 00:00:02,440 Speaker 1: Welcome to the third hour of the Clay Travis and 2 00:00:02,520 --> 00:00:05,160 Speaker 1: Buck Sexton Show. Everybody, thanks for being here. Man. We 3 00:00:05,200 --> 00:00:08,119 Speaker 1: are flying through all these topics today. A lot to 4 00:00:08,240 --> 00:00:10,840 Speaker 1: still discuss though. Eight hundred two eight two two eight 5 00:00:10,880 --> 00:00:13,200 Speaker 1: eight two to open on Friday. We'll take some calls 6 00:00:13,640 --> 00:00:16,800 Speaker 1: from you in the back part of this hour for sure, 7 00:00:17,840 --> 00:00:20,800 Speaker 1: and we also want to make sure you remember to 8 00:00:20,840 --> 00:00:23,360 Speaker 1: subscribe to the podcast, The Clay and Buck Podcast Clay 9 00:00:23,400 --> 00:00:25,640 Speaker 1: Travis and Buck Sexton Show. Where have you listed podcasts? 10 00:00:26,120 --> 00:00:27,840 Speaker 1: They put it up hour by hours. If you missed 11 00:00:27,840 --> 00:00:29,640 Speaker 1: the second hour, you want to hear it right. Therefore, 12 00:00:29,680 --> 00:00:31,400 Speaker 1: you've missed a third hour. You know you do the 13 00:00:31,440 --> 00:00:33,040 Speaker 1: rest and figure that one out. We all got it 14 00:00:33,479 --> 00:00:36,280 Speaker 1: all right. Our friend Alex Barn's about to join us. 15 00:00:36,360 --> 00:00:39,400 Speaker 1: Want to say this comes from his sub stack, and 16 00:00:39,520 --> 00:00:41,320 Speaker 1: I just want to read you a quote from one 17 00:00:41,360 --> 00:00:45,640 Speaker 1: of his recent pieces of analysis. Here in the United States, 18 00:00:45,720 --> 00:00:47,760 Speaker 1: we do not force adults to take medicines or have 19 00:00:47,840 --> 00:00:51,360 Speaker 1: medical procedures if they're psychiatrically competent. Would you not make 20 00:00:51,400 --> 00:00:54,200 Speaker 1: them lose weight or stop drinking or exercise? Would you 21 00:00:54,240 --> 00:00:57,760 Speaker 1: not make women have abortions or get pregnant? Personal medical 22 00:00:57,800 --> 00:01:00,800 Speaker 1: decision making is personal. It does not belong to the state. 23 00:01:01,360 --> 00:01:04,800 Speaker 1: These COVID vaccine mandates and quasi mandates are fast becoming 24 00:01:05,200 --> 00:01:09,039 Speaker 1: the greatest infringement on liberty in the United States since 25 00:01:09,120 --> 00:01:12,080 Speaker 1: slavery was abolished. And I don't know what is going 26 00:01:12,160 --> 00:01:15,160 Speaker 1: to stop them. It's got a new book, Pandemia, which 27 00:01:15,160 --> 00:01:17,280 Speaker 1: you can get now, mister Alex Barrinson. Good to have 28 00:01:17,360 --> 00:01:21,120 Speaker 1: you back. Goodness talk your book. So let's just start 29 00:01:21,200 --> 00:01:25,320 Speaker 1: with top, top level view of what you're seeing right now, 30 00:01:25,880 --> 00:01:29,520 Speaker 1: as Biden and everyone's walking around the Democrat side saying, hey, 31 00:01:29,640 --> 00:01:34,480 Speaker 1: mandates work, isn't that great? Yeah, yeah, they work if 32 00:01:34,560 --> 00:01:38,000 Speaker 1: you force people to, you know, give up their jobs. 33 00:01:39,200 --> 00:01:41,840 Speaker 1: Even in an economy as tight aims or you know, 34 00:01:41,920 --> 00:01:44,840 Speaker 1: as this one, a lot of people have mortgages to 35 00:01:44,920 --> 00:01:47,240 Speaker 1: pay and they have kids to worry about, and they're 36 00:01:47,280 --> 00:01:49,400 Speaker 1: not going to give up their jobs. Even if they 37 00:01:49,400 --> 00:01:52,280 Speaker 1: don't want to be vaccinated. They will. They will take 38 00:01:52,440 --> 00:01:54,400 Speaker 1: you know, they will swallow hard and take the shot 39 00:01:54,480 --> 00:01:59,400 Speaker 1: and hope it's okay. I mean, so what's clear is 40 00:01:59,520 --> 00:02:01,760 Speaker 1: that a lot of people are doing this unwillingly at 41 00:02:01,840 --> 00:02:04,240 Speaker 1: this point. Okay, there's still a lot of people who 42 00:02:04,280 --> 00:02:07,600 Speaker 1: will not take this. Okay, you despite the fact, despite 43 00:02:07,680 --> 00:02:09,959 Speaker 1: all the pressure that's being put on right now, there's 44 00:02:09,960 --> 00:02:12,360 Speaker 1: still there's still a large number of people who are 45 00:02:12,440 --> 00:02:14,799 Speaker 1: not going to take this thing no matter what. But 46 00:02:15,040 --> 00:02:17,400 Speaker 1: what I think the administration is trying to do is 47 00:02:17,800 --> 00:02:20,680 Speaker 1: so you know, maybe sixty percent of the country, uh 48 00:02:20,919 --> 00:02:23,679 Speaker 1: maybe half the working into population was okay with this. 49 00:02:24,160 --> 00:02:26,799 Speaker 1: Um they were so scared of COVID that, you know, 50 00:02:26,880 --> 00:02:29,079 Speaker 1: and all they did was watch MSNBC and they thought 51 00:02:29,160 --> 00:02:33,120 Speaker 1: this was a miracle. Um so so so you know, so, 52 00:02:33,360 --> 00:02:35,519 Speaker 1: so you got about half the country through May that 53 00:02:35,680 --> 00:02:39,480 Speaker 1: was that was okay, and then they thought, hey, when 54 00:02:39,520 --> 00:02:43,040 Speaker 1: everybody else sees that how well this vaccine works, everyone 55 00:02:43,080 --> 00:02:44,919 Speaker 1: will sign up and it will be fine. You know, 56 00:02:44,960 --> 00:02:48,160 Speaker 1: because Americans in general actually are not anti vaccine. I 57 00:02:48,240 --> 00:02:50,600 Speaker 1: think I told you this, uh you know, a few 58 00:02:50,760 --> 00:02:52,560 Speaker 1: session a few times ago when I was on it, 59 00:02:52,840 --> 00:02:56,079 Speaker 1: something like ninety percent all of the children get their 60 00:02:56,200 --> 00:03:00,840 Speaker 1: recommended vaccines pretty much on schedule. Um so, so most 61 00:03:00,880 --> 00:03:03,359 Speaker 1: Americans are pretty happy to get their kids vaccinated with 62 00:03:03,480 --> 00:03:05,919 Speaker 1: vaccines that work, with vaccines that have been around a 63 00:03:06,000 --> 00:03:08,120 Speaker 1: long time, with vaccines that you know, that have a 64 00:03:08,200 --> 00:03:12,120 Speaker 1: mechanism of action that we understand. Okay, the rest, so 65 00:03:12,320 --> 00:03:15,120 Speaker 1: half the country didn't want to get vaccinated. Half the 66 00:03:15,160 --> 00:03:18,079 Speaker 1: adults you know who were under sixty five didn't want 67 00:03:18,080 --> 00:03:22,680 Speaker 1: to get vaccinated. And then something terrible happened to Anthony 68 00:03:22,720 --> 00:03:25,720 Speaker 1: Faucci and Joe Biden and the left, which is the 69 00:03:25,840 --> 00:03:31,800 Speaker 1: vaccine stopped working. Okay, they don't work. They don't prevent infection, 70 00:03:32,120 --> 00:03:35,520 Speaker 1: they don't prevent transmission. It looks like they have some 71 00:03:35,800 --> 00:03:39,320 Speaker 1: efficacy around severe disease and death, but it isn't clear 72 00:03:39,480 --> 00:03:43,280 Speaker 1: how long that lasts. Okay, and anybody who was looking 73 00:03:43,360 --> 00:03:47,160 Speaker 1: at the data could see this by late summer, and 74 00:03:47,400 --> 00:03:50,200 Speaker 1: in the face of this, the rational response would be, 75 00:03:50,560 --> 00:03:53,600 Speaker 1: all right, we tried this, we bought ourselves a few months. 76 00:03:53,760 --> 00:03:55,640 Speaker 1: Guess what. Mark came out with a pretty good drug 77 00:03:55,760 --> 00:03:58,920 Speaker 1: that looks like it can help people too. And that's it. 78 00:03:59,640 --> 00:04:03,320 Speaker 1: The great vaccine experiment, the Great mRNA vaccine experiment for 79 00:04:03,400 --> 00:04:06,680 Speaker 1: COVID is over. We can all go home now. They 80 00:04:06,760 --> 00:04:09,840 Speaker 1: won't do it. They won't admit the truth. They won't 81 00:04:09,920 --> 00:04:13,560 Speaker 1: admit that efficacy has gone away. They're trying to force 82 00:04:13,840 --> 00:04:16,360 Speaker 1: they're trying to Fouci and Biden in the face of 83 00:04:16,440 --> 00:04:19,479 Speaker 1: the CDC and the FDA want everyone to take boosters, 84 00:04:19,800 --> 00:04:22,000 Speaker 1: and they want to drag the rest of the country 85 00:04:22,040 --> 00:04:24,760 Speaker 1: over the line. So their hope is that they can 86 00:04:24,839 --> 00:04:28,839 Speaker 1: get to let's say, eighty percent with corporate mandates, which 87 00:04:28,839 --> 00:04:31,799 Speaker 1: are which you know. And somebody emailed me a conservative 88 00:04:31,839 --> 00:04:33,240 Speaker 1: email on me a couple of days ago and said, 89 00:04:33,400 --> 00:04:37,520 Speaker 1: this is terrible. The US has basically outsourced its constitution, 90 00:04:38,000 --> 00:04:41,840 Speaker 1: so so the US can't ban me from speaking, but 91 00:04:42,000 --> 00:04:45,200 Speaker 1: Twitter can, so the US the US government can lean 92 00:04:45,279 --> 00:04:47,040 Speaker 1: on Twitter to get it to do that, and then 93 00:04:47,080 --> 00:04:48,560 Speaker 1: I have to go sue if I want to get 94 00:04:48,600 --> 00:04:52,560 Speaker 1: back on Twitter. Okay, the US federal government cannot mandate 95 00:04:52,560 --> 00:04:55,680 Speaker 1: adults to get vaccinated, but it can lean on private 96 00:04:55,760 --> 00:04:58,160 Speaker 1: companies to do so, and that's what it's doing. And 97 00:04:58,240 --> 00:05:01,040 Speaker 1: if they get to eighty percent, then they'll really try 98 00:05:01,120 --> 00:05:03,760 Speaker 1: to squeeze those of us who are pushing back. They'll 99 00:05:03,800 --> 00:05:06,440 Speaker 1: say you can't fly and so, and that's what they're 100 00:05:06,440 --> 00:05:10,040 Speaker 1: going to do. And it's insane, Buck, it's insane. It's 101 00:05:10,080 --> 00:05:14,000 Speaker 1: interesting you mentioned that, Alex, we got seventy eight percent 102 00:05:14,240 --> 00:05:17,120 Speaker 1: of people aged eighteen and up who have gotten at 103 00:05:17,160 --> 00:05:19,800 Speaker 1: least one shot, according to the most recent New York 104 00:05:19,839 --> 00:05:24,320 Speaker 1: Times data, ninety five percent of people sixty five and 105 00:05:24,480 --> 00:05:27,960 Speaker 1: up have gotten the COVID vaccine. Those are pretty monstrous 106 00:05:28,160 --> 00:05:30,600 Speaker 1: numbers when you look at them in that context. That 107 00:05:30,839 --> 00:05:34,120 Speaker 1: is the vast majority of people of those ages. And 108 00:05:34,200 --> 00:05:36,919 Speaker 1: by the way, it's seventy six percent of those ages 109 00:05:37,040 --> 00:05:39,640 Speaker 1: twelve and up have gotten at least one shot, So 110 00:05:39,680 --> 00:05:43,039 Speaker 1: those are pretty monstrous numbers. The question, Alex, and thanks 111 00:05:43,080 --> 00:05:45,880 Speaker 1: for joining us here on this Friday. The question is, 112 00:05:46,000 --> 00:05:47,640 Speaker 1: and Buck and I have been talking about this. We 113 00:05:47,720 --> 00:05:50,680 Speaker 1: don't have a good read where are we headed as 114 00:05:50,800 --> 00:05:53,640 Speaker 1: the fall progresses and we go into the winner. We 115 00:05:53,720 --> 00:05:59,200 Speaker 1: understand you don't have a magical ability to prognosticate the future, 116 00:05:59,480 --> 00:06:02,120 Speaker 1: but you have been pretty outstanding looking at the data 117 00:06:02,200 --> 00:06:05,320 Speaker 1: and trying to forecast based on that data where we headed, 118 00:06:05,640 --> 00:06:08,479 Speaker 1: where are we headed into the fall and the winter. 119 00:06:09,240 --> 00:06:11,840 Speaker 1: So so you know, as we know, COVID makes fools 120 00:06:11,880 --> 00:06:14,400 Speaker 1: of people who try to predict it um and and 121 00:06:14,720 --> 00:06:17,520 Speaker 1: and also as we know, you never get points for 122 00:06:17,640 --> 00:06:19,760 Speaker 1: being right in your predictions. You only get noticed by 123 00:06:19,800 --> 00:06:21,400 Speaker 1: the people who don't like you if you're wrong. That's right, 124 00:06:21,520 --> 00:06:25,200 Speaker 1: that's right. That said, I think this idea you know 125 00:06:25,279 --> 00:06:27,839 Speaker 1: which a few which people, some people you know, serve 126 00:06:27,920 --> 00:06:30,880 Speaker 1: in the in the pro vaccine community, have said, and 127 00:06:31,000 --> 00:06:33,160 Speaker 1: you know, played all the all the great and good 128 00:06:33,200 --> 00:06:35,560 Speaker 1: minds at the New York Times, that we're maybe through 129 00:06:35,600 --> 00:06:37,880 Speaker 1: the worstness. I don't think that's correct at all. And 130 00:06:38,080 --> 00:06:42,640 Speaker 1: the reason is in the UK and in Israel, which 131 00:06:42,800 --> 00:06:46,800 Speaker 1: have you know, even higher rates of vaccine coverage than 132 00:06:46,880 --> 00:06:50,440 Speaker 1: we do, um, they have not. They have not come 133 00:06:50,480 --> 00:06:53,280 Speaker 1: close to eradicating COVID, and Britain is really in the 134 00:06:53,440 --> 00:06:57,360 Speaker 1: third month of another wave. And I think what happens, 135 00:06:57,800 --> 00:06:59,720 Speaker 1: I mean, it seems pretty clear what happens is that 136 00:07:00,320 --> 00:07:03,680 Speaker 1: after a few months your vaccine immunity wears off, and 137 00:07:03,800 --> 00:07:06,280 Speaker 1: so the only people who really have immunity are those 138 00:07:06,320 --> 00:07:09,520 Speaker 1: who got infected naturally and recovered. And I think in 139 00:07:09,560 --> 00:07:12,240 Speaker 1: the US we're probably I mean, you can argue about 140 00:07:12,280 --> 00:07:14,360 Speaker 1: this because we've never done the proper studies, but we're 141 00:07:14,400 --> 00:07:17,000 Speaker 1: in the forty to fifty percent range for that, and 142 00:07:17,240 --> 00:07:20,480 Speaker 1: so everybody else still needs to get infected, you know, 143 00:07:20,600 --> 00:07:23,640 Speaker 1: and and maybe you can sort of like roll that 144 00:07:23,880 --> 00:07:27,560 Speaker 1: out with vaccines as this vaccine immunity rolls on and off. 145 00:07:27,960 --> 00:07:31,480 Speaker 1: But in places like Britain, ninety seven percent of the 146 00:07:31,680 --> 00:07:36,280 Speaker 1: country has either vaccine anybodies or natural immunity. They've done 147 00:07:36,320 --> 00:07:40,720 Speaker 1: the studies, they know, and yet the epidemic continues there. 148 00:07:41,080 --> 00:07:43,960 Speaker 1: So what that tells you is that the vaccine anybody's 149 00:07:44,040 --> 00:07:47,200 Speaker 1: don't really work for very long. Alex, it's baking. I 150 00:07:47,400 --> 00:07:49,080 Speaker 1: want to know what we're seeing in terms of the 151 00:07:49,280 --> 00:07:52,000 Speaker 1: data right now. I mean, you know, Fauci has been 152 00:07:52,000 --> 00:07:54,400 Speaker 1: asked some questions recently, where goes Yeah, you know, we're 153 00:07:54,440 --> 00:07:56,760 Speaker 1: not tracking that. I mean, you start to find out 154 00:07:56,840 --> 00:07:59,840 Speaker 1: more and more. There's some things like breakthrough infections that 155 00:08:00,160 --> 00:08:02,480 Speaker 1: they don't seem to be tracking very closely, but you 156 00:08:02,640 --> 00:08:05,360 Speaker 1: get little snippets here and there. And I think it 157 00:08:05,480 --> 00:08:08,760 Speaker 1: was earlier this week I saw that, according to the 158 00:08:08,920 --> 00:08:13,560 Speaker 1: Health Department of the State of Massachusetts, about twenty five 159 00:08:13,760 --> 00:08:18,240 Speaker 1: percent roughly of people in the hospital with COVID were 160 00:08:18,360 --> 00:08:22,480 Speaker 1: fully vaccinated against COVID, And I feel like that's a number. 161 00:08:22,520 --> 00:08:24,400 Speaker 1: You know, they keep saying about the serious death and 162 00:08:24,840 --> 00:08:27,600 Speaker 1: serious death and are rather serious disease and death. Pardon 163 00:08:27,720 --> 00:08:30,120 Speaker 1: me that that's what it protects you from. But I 164 00:08:30,160 --> 00:08:32,760 Speaker 1: feel like people would also they would think very differently 165 00:08:32,800 --> 00:08:35,640 Speaker 1: about this if they were being told, well, you know, 166 00:08:36,720 --> 00:08:39,040 Speaker 1: maybe a quarter, maybe a third of vaccinated people that 167 00:08:39,120 --> 00:08:40,800 Speaker 1: end up in the or of people in the hospital 168 00:08:40,840 --> 00:08:43,040 Speaker 1: are going to be the vaccinated. I think that people 169 00:08:43,080 --> 00:08:44,720 Speaker 1: believe that that's never going to happen to them if 170 00:08:44,720 --> 00:08:46,559 Speaker 1: they're vaccinated. What does the number? What do the numbers 171 00:08:46,600 --> 00:08:49,120 Speaker 1: tell us? The numbers are much worse than that mark. 172 00:08:49,200 --> 00:08:52,559 Speaker 1: In Vermont, which is the most heavily vaccinated, seventy six 173 00:08:52,640 --> 00:08:55,000 Speaker 1: percent of the people who died in September will fully 174 00:08:55,040 --> 00:08:58,280 Speaker 1: vaccinated who died. That's not me making that up. That 175 00:08:58,440 --> 00:09:00,679 Speaker 1: is a number you can find in the in the 176 00:09:01,240 --> 00:09:05,199 Speaker 1: Vermont Health Department's website. Okay, seventy six percent of the 177 00:09:05,240 --> 00:09:08,680 Speaker 1: people who died were fully vaccinated. That is completely consistent 178 00:09:08,760 --> 00:09:11,440 Speaker 1: with the British experience where seventy and seventy five percent 179 00:09:11,480 --> 00:09:13,959 Speaker 1: of people who died, you know, in the last couple 180 00:09:14,000 --> 00:09:20,160 Speaker 1: of months were fully vaccinated. There. The vaccines, again, they 181 00:09:20,280 --> 00:09:23,480 Speaker 1: may reduce the risk of death, they don't reduce it 182 00:09:23,880 --> 00:09:25,760 Speaker 1: to you know that this idea that they reduce at 183 00:09:25,840 --> 00:09:28,280 Speaker 1: ninety to ninety five to ninety nine percent is just 184 00:09:28,520 --> 00:09:31,199 Speaker 1: not borne out by the data. And again there's this 185 00:09:31,320 --> 00:09:34,280 Speaker 1: time element, so for the first couple of months after 186 00:09:34,280 --> 00:09:38,360 Speaker 1: you're vaccinated, it looks pretty good. But then then then 187 00:09:38,480 --> 00:09:41,480 Speaker 1: your protection against the faction and transmission goes away, and 188 00:09:41,720 --> 00:09:45,160 Speaker 1: then at some point it looks like your protection against 189 00:09:46,120 --> 00:09:49,440 Speaker 1: serious disease and death also declines. I put out something 190 00:09:49,480 --> 00:09:52,280 Speaker 1: on my substact this morning, by the way, because you're right, 191 00:09:52,400 --> 00:09:54,599 Speaker 1: you can't find this data in a good place in 192 00:09:54,679 --> 00:09:56,240 Speaker 1: the United States, so you sort of have to rely 193 00:09:56,520 --> 00:09:58,880 Speaker 1: on random papers that come out. But there was a 194 00:09:59,040 --> 00:10:02,640 Speaker 1: very good paper that can amount two days ago, actually 195 00:10:02,679 --> 00:10:05,400 Speaker 1: three days ago, on the fifth of October, in a 196 00:10:05,480 --> 00:10:10,600 Speaker 1: peer review journal from US government and academic researchers, showing 197 00:10:10,760 --> 00:10:13,760 Speaker 1: month by month what has happened to infections in the 198 00:10:13,880 --> 00:10:16,280 Speaker 1: vaccinated in a large group of people, five hundred and 199 00:10:16,280 --> 00:10:20,559 Speaker 1: fifty thousand Americans. And it's an amazing chart. I ay, 200 00:10:20,760 --> 00:10:23,240 Speaker 1: just all the churches speaks for itself. It's a true 201 00:10:23,280 --> 00:10:27,600 Speaker 1: hockey stick. Between July and August, the number of cases 202 00:10:27,720 --> 00:10:31,719 Speaker 1: per day your risk went up five folds between July 203 00:10:31,800 --> 00:10:33,320 Speaker 1: and argus, are they basically just trying to get us 204 00:10:33,360 --> 00:10:36,319 Speaker 1: to start getting boosters alex before people can realize how 205 00:10:36,480 --> 00:10:38,520 Speaker 1: much the vaccines were all. Yeah, it's a good question 206 00:10:38,559 --> 00:10:39,880 Speaker 1: for Buck two, and I want to build on what 207 00:10:39,960 --> 00:10:43,200 Speaker 1: he just asked, Alex, If your data is as clear 208 00:10:43,280 --> 00:10:46,840 Speaker 1: as it appears to be, at some point there has 209 00:10:46,880 --> 00:10:50,120 Speaker 1: to be an acknowledgement of what's going on here? Right? 210 00:10:50,400 --> 00:10:53,400 Speaker 1: When does that acknowledgement occur? How does it happen? What 211 00:10:53,600 --> 00:10:56,480 Speaker 1: is the Biden administration hoping they're going to be able 212 00:10:56,559 --> 00:11:00,800 Speaker 1: to do by not acknowledging that this vaccine in quotation 213 00:11:00,880 --> 00:11:03,480 Speaker 1: marks is not the panacea that they've been selling to 214 00:11:03,520 --> 00:11:06,719 Speaker 1: the American public. I guess what they're hoping to do 215 00:11:06,840 --> 00:11:09,040 Speaker 1: is get through the winter. And you say that as 216 00:11:09,080 --> 00:11:11,720 Speaker 1: to being an acknowledgement, But I was banned from Twitter 217 00:11:11,840 --> 00:11:14,920 Speaker 1: on August twenty eighth. Okay, that's six weeks ago, and 218 00:11:15,080 --> 00:11:17,839 Speaker 1: nothing has come out except more data showing that I 219 00:11:18,000 --> 00:11:20,880 Speaker 1: was correct. Okay, all they did was forced me to substack, 220 00:11:21,240 --> 00:11:23,840 Speaker 1: but they got me off Twitter. So I can talk 221 00:11:23,920 --> 00:11:26,200 Speaker 1: to you, I can talk to Joe Rogan, I can 222 00:11:26,280 --> 00:11:28,719 Speaker 1: talk to Tucker. But I can't. But but you know 223 00:11:28,880 --> 00:11:31,280 Speaker 1: they are. They are forcing this argument to the margins, 224 00:11:31,320 --> 00:11:33,040 Speaker 1: and every day they're trying to get more people to 225 00:11:33,120 --> 00:11:36,360 Speaker 1: get that first shot. I don't exactly know why. I 226 00:11:36,520 --> 00:11:39,720 Speaker 1: guess the game is, let's get through the winter, because 227 00:11:39,760 --> 00:11:42,200 Speaker 1: the problem they must realize that they're going to face 228 00:11:42,320 --> 00:11:44,280 Speaker 1: is that in the northern half of the country, vaccine 229 00:11:44,320 --> 00:11:47,600 Speaker 1: immunity is rolling off at exactly the wrong time. That's right, 230 00:11:47,640 --> 00:11:49,679 Speaker 1: there will be there will be another big way of 231 00:11:49,760 --> 00:11:51,800 Speaker 1: this winter. If they don't get people to get a booster. 232 00:11:51,880 --> 00:11:55,040 Speaker 1: A booster, probably buy some a few months. Maybe they 233 00:11:55,120 --> 00:11:57,400 Speaker 1: get to the winter, and then the hope is, Okay, 234 00:11:57,480 --> 00:11:59,640 Speaker 1: we'll be two years into this, people will really be 235 00:11:59,720 --> 00:12:02,839 Speaker 1: sick of it. We'll have this merk therapeutic. Maybe we'll 236 00:12:02,880 --> 00:12:05,280 Speaker 1: have another couple of therapeutics. We can reduce to death 237 00:12:05,400 --> 00:12:08,160 Speaker 1: rate and we can stop. We will, we will stop 238 00:12:08,200 --> 00:12:10,839 Speaker 1: pretending the vaccines really work, and we'll just move on. 239 00:12:11,320 --> 00:12:13,520 Speaker 1: I guess that's the game. I don't know the game 240 00:12:13,559 --> 00:12:17,200 Speaker 1: because they don't have a working vaccine. Unbelievable. Alex. By 241 00:12:17,240 --> 00:12:19,319 Speaker 1: the way, we know you have a new book out, Pandemia. 242 00:12:19,679 --> 00:12:21,120 Speaker 1: We want to do to tell folks about it where 243 00:12:21,120 --> 00:12:23,560 Speaker 1: they can get it. Sure, so it's not out yet, 244 00:12:23,600 --> 00:12:26,000 Speaker 1: it will be out November thirtieth. In fact, I gotta 245 00:12:26,040 --> 00:12:29,079 Speaker 1: get you guys at copies early copies of it. But 246 00:12:29,520 --> 00:12:31,400 Speaker 1: you can order it on Amazon, you can order it 247 00:12:31,480 --> 00:12:34,640 Speaker 1: on BNN. You know, right now my focus is really 248 00:12:34,720 --> 00:12:37,000 Speaker 1: on the stack, on the substack, because that is where 249 00:12:37,000 --> 00:12:39,079 Speaker 1: I can reach people, and I can you know, and 250 00:12:39,200 --> 00:12:41,520 Speaker 1: I can prove to Twitter that even though they censored me, 251 00:12:41,880 --> 00:12:45,439 Speaker 1: I can still speak. But the book will be out 252 00:12:45,520 --> 00:12:48,360 Speaker 1: November thirtieth, and it is called Pandemia, which is sort 253 00:12:48,400 --> 00:12:52,880 Speaker 1: of you know, it's the pandemic hysteria, Pandemia outstanding. We'll 254 00:12:52,920 --> 00:12:55,680 Speaker 1: be reading it for sure. Thank you to Alex Berenson. 255 00:12:55,800 --> 00:12:58,920 Speaker 1: Go read his sub stack. In the meantime, are you 256 00:12:59,120 --> 00:13:01,560 Speaker 1: holding on to boxes of old home movies that mean 257 00:13:01,640 --> 00:13:03,679 Speaker 1: a lot to you, enough that you would want to 258 00:13:03,760 --> 00:13:06,240 Speaker 1: keep those memories to see and share with family for 259 00:13:06,480 --> 00:13:09,480 Speaker 1: years and years to come. Can even watch that private, 260 00:13:09,520 --> 00:13:13,600 Speaker 1: less priceless footage right now? Because VCR players, film projectors, 261 00:13:13,880 --> 00:13:16,199 Speaker 1: all of those get harder and harder to find, and 262 00:13:16,320 --> 00:13:19,079 Speaker 1: the media you're storing in boxes in the basement or 263 00:13:19,120 --> 00:13:22,720 Speaker 1: the closets continues to wear down and get more vulnerable. 264 00:13:23,160 --> 00:13:26,240 Speaker 1: But being able to preserve those memories is exactly what 265 00:13:26,480 --> 00:13:29,360 Speaker 1: Legacy Box was created to do. They are a US 266 00:13:29,440 --> 00:13:32,680 Speaker 1: based company right here in my home state of Tennessee. 267 00:13:33,080 --> 00:13:36,880 Speaker 1: That digitizes all of those aging tapes and films so 268 00:13:37,120 --> 00:13:40,440 Speaker 1: you can relive your family history for years and years 269 00:13:40,520 --> 00:13:44,000 Speaker 1: to come. And right now, Legacy boxes offering forty percent 270 00:13:44,120 --> 00:13:48,960 Speaker 1: off at legacybox dot com slash Clay. They are in Chattanooga, Tennessee. 271 00:13:49,120 --> 00:13:51,719 Speaker 1: It's where my mom's family grew up. We have a 272 00:13:51,800 --> 00:13:54,360 Speaker 1: lot of old images that we have sent them to 273 00:13:54,520 --> 00:13:57,400 Speaker 1: make sure that we preserve our family's history for as 274 00:13:57,480 --> 00:14:00,480 Speaker 1: long as we possibly can. They will use your kit. 275 00:14:00,800 --> 00:14:03,480 Speaker 1: The kit that you get, you can safely send the 276 00:14:03,559 --> 00:14:07,600 Speaker 1: moments you want preserved. They'll create a digital archive. Then 277 00:14:07,679 --> 00:14:10,880 Speaker 1: you'll receive your new copy stored on the cloud, a 278 00:14:10,960 --> 00:14:14,360 Speaker 1: thumb drive or a DVD, along with all the original 279 00:14:14,480 --> 00:14:17,800 Speaker 1: media you sent to them. You can follow every step 280 00:14:17,840 --> 00:14:20,400 Speaker 1: of the process with their tracking system, and you can 281 00:14:20,440 --> 00:14:23,280 Speaker 1: sign up and get forty percent off for the holiday season. 282 00:14:23,520 --> 00:14:25,960 Speaker 1: How great of a gift is this? Right now sign 283 00:14:26,080 --> 00:14:30,760 Speaker 1: up today at legacybox dot com slash clay forty percent 284 00:14:30,960 --> 00:14:35,600 Speaker 1: off one more time legacybox dot com slash clay. Sign 285 00:14:35,680 --> 00:14:39,600 Speaker 1: up today and preserve your family's memories in time for 286 00:14:39,680 --> 00:14:44,360 Speaker 1: the holidays. Legacybox dot com slash Clay classes are back 287 00:14:44,440 --> 00:14:47,880 Speaker 1: in session here at the Institute of Advanced Conservative Studies, 288 00:14:48,280 --> 00:15:00,680 Speaker 1: Clay Travis and box seton Fundy EIB Network Quarterback in 289 00:15:00,800 --> 00:15:04,800 Speaker 1: play Travis Buck Sexton Show Final thirty minutes. As we 290 00:15:05,040 --> 00:15:10,680 Speaker 1: roll through the program here man Alex Berenson, I am 291 00:15:10,800 --> 00:15:12,920 Speaker 1: so glad that we have the ability to put him 292 00:15:13,000 --> 00:15:15,920 Speaker 1: on the program and allow him to talk about the 293 00:15:16,080 --> 00:15:19,040 Speaker 1: data with all of you, because so much of big 294 00:15:19,160 --> 00:15:22,920 Speaker 1: tech has shut him down, censored him, literally kicked him 295 00:15:22,960 --> 00:15:27,000 Speaker 1: off of Twitter because he was sharing inconvenient truths about 296 00:15:27,040 --> 00:15:29,920 Speaker 1: the COVID vaccine, the COVID shot, about all the data 297 00:15:30,040 --> 00:15:33,360 Speaker 1: surrounding it, and Buck and I have been quite clear 298 00:15:33,480 --> 00:15:35,440 Speaker 1: with all of you, we don't know where we're headed 299 00:15:35,480 --> 00:15:38,080 Speaker 1: in the fall and winter. We're not trying to predict ourselves. 300 00:15:38,600 --> 00:15:40,360 Speaker 1: But I do think that a lot of times, looking 301 00:15:40,440 --> 00:15:42,520 Speaker 1: at the data that is coming out of Israel and 302 00:15:42,600 --> 00:15:46,560 Speaker 1: coming out of England is what has allowed Alex Barrenson 303 00:15:46,640 --> 00:15:49,640 Speaker 1: to be so prescient in terms of looking into his 304 00:15:49,720 --> 00:15:53,120 Speaker 1: crystal ball and forecasting where we are headed. One question, Buck, 305 00:15:53,600 --> 00:15:55,960 Speaker 1: that is out there in terms of crystal ball dumb 306 00:15:56,640 --> 00:15:58,720 Speaker 1: is what is going to happen in Virginia. We've been 307 00:15:58,760 --> 00:16:02,040 Speaker 1: talking a little bit about the governatorial race in that state, 308 00:16:02,160 --> 00:16:05,880 Speaker 1: Young Cain going up against Terry mccaulliffe. And there have 309 00:16:05,960 --> 00:16:09,200 Speaker 1: been a lot of really body blows that I would 310 00:16:09,200 --> 00:16:12,680 Speaker 1: say have been delivered against Terry mccaulliffe in this race, 311 00:16:12,920 --> 00:16:16,000 Speaker 1: Glenn Young can most recent poll I saw basically a 312 00:16:16,080 --> 00:16:19,760 Speaker 1: one point difference here and Terry mccaulliffe. Remember Joe Biden 313 00:16:19,920 --> 00:16:22,720 Speaker 1: won the state of Virginia by ten points. It wasn't 314 00:16:22,760 --> 00:16:27,240 Speaker 1: particularly close. Biden is now underwater, meaning more people are 315 00:16:27,400 --> 00:16:31,360 Speaker 1: disapproving of Joe Biden in Virginia than approving, and even 316 00:16:31,520 --> 00:16:35,320 Speaker 1: Terry mccaulliffe now is recognizing that and discussing it. Let's 317 00:16:35,360 --> 00:16:39,720 Speaker 1: play that cut of Biden's unpopularity. In two thousand and four, 318 00:16:40,680 --> 00:16:43,760 Speaker 1: you said this about the election where President Bush beat 319 00:16:43,800 --> 00:16:47,560 Speaker 1: Al Gore. Let's go back to Florida. We actually won 320 00:16:47,680 --> 00:16:54,360 Speaker 1: the last presidential election. Folks, they stole my course to 321 00:16:54,360 --> 00:16:57,080 Speaker 1: talk about this. Yeah, I mean, we don't. So here's 322 00:16:57,080 --> 00:16:59,720 Speaker 1: the thing, Clay. We've been told now that the only 323 00:16:59,760 --> 00:17:02,480 Speaker 1: person who's ever claimed that an election was rigor stolen 324 00:17:02,560 --> 00:17:05,440 Speaker 1: and Trump so many times. And what's amazing is that 325 00:17:05,520 --> 00:17:08,080 Speaker 1: Democrats say elections are stolen regularly they say that it's 326 00:17:08,160 --> 00:17:12,479 Speaker 1: undermining democracy unless we go back and undo the election 327 00:17:12,560 --> 00:17:15,040 Speaker 1: of the past. And Terry mcculliffe is one of them. 328 00:17:15,040 --> 00:17:16,560 Speaker 1: I mean, these guys are such frauds. By the way, 329 00:17:16,600 --> 00:17:18,600 Speaker 1: He's an enormous fraud. I'm scared for the people of 330 00:17:18,680 --> 00:17:20,960 Speaker 1: Virginia that he may pull this out. I'm glad to 331 00:17:21,000 --> 00:17:22,840 Speaker 1: see that Glenn young Kin is making such a race 332 00:17:22,880 --> 00:17:25,200 Speaker 1: of it. I hope he wins. We've got Glenn coming 333 00:17:25,280 --> 00:17:27,639 Speaker 1: on the show next week, I believe, to talk about 334 00:17:27,680 --> 00:17:31,119 Speaker 1: that race in Virginia. And it's important for you to 335 00:17:31,240 --> 00:17:34,720 Speaker 1: know that mccauliffe basically is running away from Joe Biden 336 00:17:34,880 --> 00:17:37,040 Speaker 1: right now. And this is in a state again that 337 00:17:37,160 --> 00:17:41,800 Speaker 1: Biden won comfortably. Even there, he's not necessarily pulling away 338 00:17:41,920 --> 00:17:45,399 Speaker 1: in any respect, and mccauliffe getting called on his dishonesty 339 00:17:45,480 --> 00:17:48,080 Speaker 1: there as it pertains to whether or not he's telling 340 00:17:48,160 --> 00:17:50,639 Speaker 1: the truth. In two thousand and four, two thousand, all 341 00:17:50,720 --> 00:17:53,119 Speaker 1: that stuff now, all of a sudden, the countries at 342 00:17:54,000 --> 00:17:58,080 Speaker 1: grave danger because of the insurrection. On January sixth, By 343 00:17:58,119 --> 00:17:59,760 Speaker 1: the way, I got to talk to you about United 344 00:17:59,760 --> 00:18:02,720 Speaker 1: States Army Sergeant Mario Nelson. He met his wife Mecca 345 00:18:02,800 --> 00:18:05,400 Speaker 1: in Brooklyn, New York when they were teenagers. They stayed 346 00:18:05,440 --> 00:18:08,040 Speaker 1: close for years before dating and getting married. In two 347 00:18:08,119 --> 00:18:10,840 Speaker 1: thousand and one, Mario signed on to the National Guard. 348 00:18:11,200 --> 00:18:13,720 Speaker 1: After the nine to eleven attacks, he volunteered to join 349 00:18:13,800 --> 00:18:17,280 Speaker 1: the recovery effort at Ground Zero. Couple welcomed their daughter 350 00:18:17,400 --> 00:18:20,440 Speaker 1: Meat of the World in two thousand and three. Shortly thereafter, 351 00:18:20,880 --> 00:18:23,959 Speaker 1: Sergeant Nelson enlisted in the Army full time as a soldier, 352 00:18:24,080 --> 00:18:27,440 Speaker 1: and family traveled to Germany, where he then deployed to 353 00:18:27,600 --> 00:18:30,119 Speaker 1: Iraq in January of two thousand and six. He'd been 354 00:18:30,160 --> 00:18:32,720 Speaker 1: away for ten months and was due back two months 355 00:18:32,880 --> 00:18:36,360 Speaker 1: later when he was tragically killed by a rocket propelled grenade. 356 00:18:36,880 --> 00:18:40,440 Speaker 1: Since then, late Sergeant Mario Nelson's wife, Mecca's gone on 357 00:18:40,560 --> 00:18:44,160 Speaker 1: to create something called the Yoma Method, combining the fierceness 358 00:18:44,200 --> 00:18:47,000 Speaker 1: of fighting with the softness of yoga and meditation to 359 00:18:47,119 --> 00:18:50,159 Speaker 1: help people cope with grief and trauma, and they now 360 00:18:50,280 --> 00:18:53,080 Speaker 1: have a new home Mecca and Mia on Staten Island 361 00:18:53,160 --> 00:18:56,000 Speaker 1: thanks to generous Tunnel to Tower Foundation donors like you. 362 00:18:56,520 --> 00:18:58,800 Speaker 1: You can donate eleven dollars a month that Tunnel to 363 00:18:58,880 --> 00:19:02,040 Speaker 1: Towers that tchoots dot org that's t the number two 364 00:19:02,160 --> 00:19:06,080 Speaker 1: t dot org and buck Sexton fund the EIB Network. 365 00:19:14,240 --> 00:19:18,040 Speaker 1: Clay Travison buck Sexton show here rolling along and be 366 00:19:18,119 --> 00:19:20,520 Speaker 1: sure to check in at our website clayin buck dot 367 00:19:20,560 --> 00:19:23,280 Speaker 1: com and see what stories we're talking about. You can 368 00:19:23,280 --> 00:19:25,480 Speaker 1: also sign up for EIB twenty four seven. There we 369 00:19:25,600 --> 00:19:29,720 Speaker 1: post behind the scene special videos and you can follow 370 00:19:29,840 --> 00:19:32,000 Speaker 1: us on Facebook and Twitter if you have not already. 371 00:19:32,040 --> 00:19:35,960 Speaker 1: I'm Buck Sexton. He is Clay Travis, and we like 372 00:19:36,119 --> 00:19:38,000 Speaker 1: to post things all the time. Over the weekend's play 373 00:19:38,119 --> 00:19:39,960 Speaker 1: is gonna be traveling, probably have some fun photos and 374 00:19:40,040 --> 00:19:43,080 Speaker 1: other things to show folks out there. I'm only a 375 00:19:43,160 --> 00:19:48,080 Speaker 1: couple of episodes into the Netflix phenomenon known as Squid Game, 376 00:19:48,480 --> 00:19:50,679 Speaker 1: which Clay is going to watch at some point. Right, 377 00:19:50,720 --> 00:19:52,600 Speaker 1: you're committed to watching it out you and the missus 378 00:19:52,640 --> 00:19:55,760 Speaker 1: should watch it. Yeah, I have agreed. The challenge during 379 00:19:55,840 --> 00:19:58,960 Speaker 1: football season is my life is so chaotic in terms 380 00:19:59,080 --> 00:20:04,280 Speaker 1: of in terms of everything that it's totally difficult. So 381 00:20:04,520 --> 00:20:07,120 Speaker 1: football games last like nine hours, so yeah, and that's 382 00:20:07,160 --> 00:20:09,440 Speaker 1: just all the travel and everything else. Usually when football 383 00:20:09,520 --> 00:20:12,880 Speaker 1: season ends is when I'm able to actually watch other 384 00:20:13,040 --> 00:20:17,119 Speaker 1: shows in and actually be able to chill and enjoy. Well, 385 00:20:17,160 --> 00:20:19,200 Speaker 1: we'll probably have some reviews for you for shows like 386 00:20:19,800 --> 00:20:22,160 Speaker 1: Narcos is coming out with its latest season pretty soon, 387 00:20:22,240 --> 00:20:25,040 Speaker 1: which I think is a fantastic show for what it is. Also, 388 00:20:25,160 --> 00:20:29,120 Speaker 1: Succession is a really fun show. Love it another really 389 00:20:29,160 --> 00:20:32,520 Speaker 1: good one. But the Dave Chappelle Netflix special is out 390 00:20:32,920 --> 00:20:36,080 Speaker 1: claim mentioning yesterday, and I finished my work in time 391 00:20:36,160 --> 00:20:37,520 Speaker 1: last night. I was a good boy who got my 392 00:20:37,600 --> 00:20:39,480 Speaker 1: homework done, so I felt like I had time to 393 00:20:40,080 --> 00:20:41,639 Speaker 1: watch a little Dave. It was only about it. It's 394 00:20:41,680 --> 00:20:43,560 Speaker 1: like an hour and ten, hour and fifteen, I think. 395 00:20:44,080 --> 00:20:49,639 Speaker 1: And so I watched the special and before the central 396 00:20:50,320 --> 00:20:52,320 Speaker 1: issue that the left is upset about has to do 397 00:20:53,200 --> 00:20:59,040 Speaker 1: with his comments about the trans community or trans individuals 398 00:20:59,080 --> 00:21:03,399 Speaker 1: within the LGBTQ plus community. And just to give you 399 00:21:03,440 --> 00:21:06,400 Speaker 1: a sense of the dichotomy that he discusses about public 400 00:21:07,680 --> 00:21:10,440 Speaker 1: anger at people based on things, here's a moment where 401 00:21:10,560 --> 00:21:14,000 Speaker 1: I think this got a lot of attention where he 402 00:21:14,600 --> 00:21:20,360 Speaker 1: laid that out. We've got a lot of the LBGTQ 403 00:21:20,840 --> 00:21:24,400 Speaker 1: community doesn't know the baby's history. He's a wild guy. 404 00:21:26,080 --> 00:21:33,520 Speaker 1: He wants shot and killed him in Walmart. Oh, this 405 00:21:33,640 --> 00:21:37,000 Speaker 1: is true. Googling the baby's shot and killed in Walmart 406 00:21:37,119 --> 00:21:46,680 Speaker 1: in North Carolina. Nothing bad happened to his career. Do 407 00:21:46,760 --> 00:21:52,439 Speaker 1: you see where I'm going with this? In our country, 408 00:21:52,520 --> 00:21:56,040 Speaker 1: you can shoot and kill it, but she's been that 409 00:21:56,160 --> 00:22:00,639 Speaker 1: hurt of gay person's feelings. So it verily Baby, who 410 00:22:00,760 --> 00:22:02,440 Speaker 1: I you know a little more about than I do, 411 00:22:02,600 --> 00:22:04,879 Speaker 1: was at a concert in Florida. I'd never even heard 412 00:22:04,920 --> 00:22:06,399 Speaker 1: of this guy before. He's a rapper who was at 413 00:22:06,400 --> 00:22:09,960 Speaker 1: a concert in Florida and said some bunch of anti 414 00:22:10,080 --> 00:22:11,480 Speaker 1: gay I don't even know what he said, but he 415 00:22:11,520 --> 00:22:14,320 Speaker 1: said a bunch of anti gay things and that, and 416 00:22:14,400 --> 00:22:17,399 Speaker 1: it was like his career was in serious jeopardy. He 417 00:22:17,520 --> 00:22:21,320 Speaker 1: had shot and killed somebody previously, and he had a 418 00:22:21,400 --> 00:22:23,200 Speaker 1: career in rapping. It was fine, this is what this 419 00:22:23,280 --> 00:22:25,119 Speaker 1: is what Dave Chappelle is saying. Yeah, I didn't know 420 00:22:25,280 --> 00:22:28,960 Speaker 1: that full story. My kids, especially my eleven year old, 421 00:22:29,080 --> 00:22:31,800 Speaker 1: listened to a lot of rap music and so he's 422 00:22:31,840 --> 00:22:35,040 Speaker 1: familiar with this performer. But that it really kind of 423 00:22:35,080 --> 00:22:39,040 Speaker 1: crystallizes the insane hypocrisy out here. You are better off 424 00:22:39,800 --> 00:22:44,800 Speaker 1: behaving in a violent fashion against each other then you 425 00:22:44,920 --> 00:22:49,159 Speaker 1: are saying something negative about the gay community. They almost 426 00:22:49,280 --> 00:22:52,800 Speaker 1: canceled the rapper over his comments about the gay community, 427 00:22:53,280 --> 00:22:57,720 Speaker 1: not over his actual shooting and killing of someone, which 428 00:22:57,880 --> 00:23:00,399 Speaker 1: is perfect for the modern social justice this er and 429 00:23:00,440 --> 00:23:01,919 Speaker 1: I think we got a couple of more clips. By 430 00:23:01,920 --> 00:23:05,640 Speaker 1: the way, they are demanding that Dave Chappelle, the comedian 431 00:23:05,680 --> 00:23:08,080 Speaker 1: who we just played that clip from It's Up on Netflix. 432 00:23:08,320 --> 00:23:12,119 Speaker 1: They are demanding that his entire comedic performance be pulled 433 00:23:12,160 --> 00:23:14,879 Speaker 1: off of Netflix be there. They want to cancel him 434 00:23:15,119 --> 00:23:18,359 Speaker 1: because they say that conversations like these are disrespectful. Oh no, 435 00:23:18,480 --> 00:23:21,720 Speaker 1: no way. Beyond disrespectful, it's violence, Clay. They say that 436 00:23:21,800 --> 00:23:27,600 Speaker 1: it's actual violence. Worn his comments making fun of people 437 00:23:28,000 --> 00:23:30,800 Speaker 1: will lead to other people doing violence. Think about the 438 00:23:31,359 --> 00:23:34,520 Speaker 1: chain of transmission, the chain of responsibility here will lead 439 00:23:34,560 --> 00:23:37,399 Speaker 1: to other people doing violence. Therefore, your words that I 440 00:23:37,440 --> 00:23:39,440 Speaker 1: don't like are violence. This is a construct the left 441 00:23:39,520 --> 00:23:42,520 Speaker 1: uses to shut down speakers on college campuses they don't like. 442 00:23:42,600 --> 00:23:44,720 Speaker 1: It's not the first time they've tried this, But here 443 00:23:44,720 --> 00:23:47,520 Speaker 1: he is. He put on a JK. Rowling, who is 444 00:23:47,800 --> 00:23:51,320 Speaker 1: a liberal borderline socialist. I mean, she's one of these 445 00:23:51,400 --> 00:23:54,680 Speaker 1: billionaire socialists, but she is a person of the left, 446 00:23:54,720 --> 00:23:59,800 Speaker 1: the Harry Potter author. But she does think that erasing 447 00:24:00,200 --> 00:24:03,920 Speaker 1: women as a real thing that is biological and grounded 448 00:24:04,000 --> 00:24:07,000 Speaker 1: in physical reality is a strange place to go, and 449 00:24:07,119 --> 00:24:10,280 Speaker 1: she doesn't agree with it. And Dave Chappelle stands in 450 00:24:10,440 --> 00:24:15,240 Speaker 1: solidarity in this special with JK Rowling, and they've canceled 451 00:24:15,280 --> 00:24:19,399 Speaker 1: people that are more powerful than me, canceled jk Rowling. 452 00:24:19,560 --> 00:24:22,560 Speaker 1: My god. Jk Rowling wrote all the Harry Potter books 453 00:24:22,600 --> 00:24:26,680 Speaker 1: by herself, and they canceled it because effectually she said 454 00:24:27,520 --> 00:24:30,560 Speaker 1: gender was a fact. And then the trans community got 455 00:24:30,680 --> 00:24:33,440 Speaker 1: mad as they started calling her a TURF. I didn't 456 00:24:33,440 --> 00:24:35,840 Speaker 1: even know what the was, so I looked it up. 457 00:24:36,320 --> 00:24:40,400 Speaker 1: TURF is an acronym stands for trans exclusionary radical feminist. 458 00:24:40,480 --> 00:24:42,000 Speaker 1: This is a real thing. This is a group of 459 00:24:42,080 --> 00:24:45,600 Speaker 1: women that hate transgend. They don't hate transgender women, but 460 00:24:45,680 --> 00:24:48,120 Speaker 1: they look at trans women the way we blacks might 461 00:24:48,200 --> 00:24:51,240 Speaker 1: look at blackface. It offends them. Now, I shouldn't speak 462 00:24:51,280 --> 00:24:54,199 Speaker 1: on this because I am not a woman, nor am 463 00:24:54,240 --> 00:25:00,560 Speaker 1: I trans. As we've established, I am a feminist. It 464 00:25:00,760 --> 00:25:07,720 Speaker 1: is amazing. I agree, I agree man, gender is a fact. Yeah. 465 00:25:07,800 --> 00:25:10,640 Speaker 1: See that's see, that's the sin that he cannot get 466 00:25:10,680 --> 00:25:12,760 Speaker 1: away with. Or rather, they want they try to not 467 00:25:12,880 --> 00:25:14,200 Speaker 1: let him go to he is getting away with it. 468 00:25:14,240 --> 00:25:17,040 Speaker 1: By the way, he's got this Netflix special. Um, what 469 00:25:17,280 --> 00:25:19,560 Speaker 1: was your first of all? How many people just learned 470 00:25:19,600 --> 00:25:21,000 Speaker 1: what a turf is? I mean, I gotta say I'm 471 00:25:21,080 --> 00:25:24,399 Speaker 1: doing good on the leftist lexicon. Turf For me, I 472 00:25:24,520 --> 00:25:26,720 Speaker 1: think I had heard it once before and I could 473 00:25:26,760 --> 00:25:29,760 Speaker 1: figure it out based on the letters. But that's a 474 00:25:30,040 --> 00:25:33,679 Speaker 1: that's a really like, uh, that's a you know, advanced 475 00:25:33,840 --> 00:25:37,359 Speaker 1: seminar level leftist word. Well, and I mean, to me, 476 00:25:37,480 --> 00:25:40,560 Speaker 1: the ultimate hypocrisy here, which you could easily drive through. 477 00:25:40,680 --> 00:25:44,200 Speaker 1: And I support comedians trying to push the envelope regardless 478 00:25:44,240 --> 00:25:47,240 Speaker 1: of what their political background is. But think about this 479 00:25:47,359 --> 00:25:50,040 Speaker 1: for a minute, and this is where the ultimate hypocrisy lies. 480 00:25:50,560 --> 00:25:54,159 Speaker 1: If you decide that you are going to change your gender, 481 00:25:54,760 --> 00:25:58,280 Speaker 1: you are considered a hero by the modern American left. 482 00:25:58,880 --> 00:26:02,560 Speaker 1: If you decide that you are going to change your race, 483 00:26:03,320 --> 00:26:07,720 Speaker 1: that is horribly racist and unacceptable. Yet my argument for 484 00:26:07,800 --> 00:26:10,359 Speaker 1: a long time Buck has been I have way more 485 00:26:10,440 --> 00:26:14,080 Speaker 1: in common with other men than I do with other 486 00:26:14,440 --> 00:26:16,360 Speaker 1: white men. In other words, if I had to say 487 00:26:16,400 --> 00:26:20,720 Speaker 1: what's more significant your race or your gender, I would 488 00:26:20,720 --> 00:26:23,199 Speaker 1: say the gender is far more significant. Yet you can 489 00:26:23,320 --> 00:26:26,280 Speaker 1: choose your gender, and if you question that, you are 490 00:26:26,400 --> 00:26:30,359 Speaker 1: horribly transphobic. But if you choose your own race, you 491 00:26:30,480 --> 00:26:34,880 Speaker 1: are horribly There's also obviously so much more constant crossover. 492 00:26:35,160 --> 00:26:38,560 Speaker 1: What what do we call somebody who is you know, 493 00:26:38,840 --> 00:26:41,840 Speaker 1: who has a you know, parents from Mumbai and another 494 00:26:41,960 --> 00:26:45,200 Speaker 1: parent from you know, from Venezuela. I mean, what, what 495 00:26:45,320 --> 00:26:48,119 Speaker 1: what race is this person? Right, there's actually a tremendous 496 00:26:48,160 --> 00:26:51,720 Speaker 1: amount of crossover, you know, malleability. Even race as a 497 00:26:51,760 --> 00:26:55,159 Speaker 1: concept as much more gender is actually a scientific and 498 00:26:55,359 --> 00:26:59,520 Speaker 1: demonstrable reality. Race is actually much more of a race, 499 00:26:59,680 --> 00:27:03,040 Speaker 1: is more fluid in many cases, Yes, and that I 500 00:27:03,080 --> 00:27:04,960 Speaker 1: mean one thing I think is fascinating is that they'll 501 00:27:04,960 --> 00:27:09,439 Speaker 1: also talk about, you know, you can effectively appropriate gender 502 00:27:09,520 --> 00:27:13,120 Speaker 1: to borrow leftist term, but you cannot appropriate a culture, 503 00:27:13,600 --> 00:27:17,399 Speaker 1: even though in fact all culture constantly appropriates from other cultures, 504 00:27:17,480 --> 00:27:22,160 Speaker 1: all cultures constantly borrowing, stealing, and actually the highest compliments 505 00:27:22,480 --> 00:27:25,960 Speaker 1: in because it came out of you know, Ethiopia originally, 506 00:27:26,080 --> 00:27:29,520 Speaker 1: like coffee, has been appropriate. That's what assimilation is. We 507 00:27:29,640 --> 00:27:32,000 Speaker 1: take the best things from around the world and everybody 508 00:27:32,119 --> 00:27:33,919 Speaker 1: uses them. And yet if you do that, I mean 509 00:27:33,960 --> 00:27:35,600 Speaker 1: now that you'll see if there's like a white girl 510 00:27:36,000 --> 00:27:38,600 Speaker 1: who wears you know, who has like braids or or 511 00:27:38,760 --> 00:27:41,920 Speaker 1: does certain hairstyles. You see a white guy with dreadlocks, 512 00:27:42,320 --> 00:27:45,480 Speaker 1: this is considered that's awful. But if a guy is 513 00:27:45,640 --> 00:27:48,040 Speaker 1: trans and says it now wants to be called a woman, 514 00:27:48,400 --> 00:27:51,040 Speaker 1: there you know the boundaries there are obviously, you know, 515 00:27:51,119 --> 00:27:53,600 Speaker 1: constantly changing. I'll just say this too. The only part 516 00:27:53,640 --> 00:27:55,159 Speaker 1: of this, I mean, there were some funny moments, there 517 00:27:55,160 --> 00:27:57,480 Speaker 1: were some there were some cringe moments too, honestly, like 518 00:27:57,600 --> 00:27:59,720 Speaker 1: watching the special, but he said at the end of 519 00:27:59,760 --> 00:28:01,359 Speaker 1: it all, he kind of walked it all back Clay 520 00:28:01,400 --> 00:28:04,120 Speaker 1: and said, I'm really just talking about white people. I'm 521 00:28:04,119 --> 00:28:08,000 Speaker 1: actually not I'm not criticizing anybody from the LGBTQ community. 522 00:28:08,400 --> 00:28:10,920 Speaker 1: That seemed weird to me, Like, well, yeah, and look, 523 00:28:11,320 --> 00:28:14,560 Speaker 1: I think anytime you put your fealty and any one person, 524 00:28:15,160 --> 00:28:18,199 Speaker 1: you're going to be disappointed because it's not your opinions, right, 525 00:28:18,240 --> 00:28:21,680 Speaker 1: you can't expect somebody else to perfectly elucidate your opinions. 526 00:28:22,040 --> 00:28:24,840 Speaker 1: What I would say in general is this is one 527 00:28:24,960 --> 00:28:28,960 Speaker 1: way that I think conservatives can win because you start 528 00:28:29,040 --> 00:28:32,760 Speaker 1: to get creative people attacking woke culture. Yeah, that's you 529 00:28:32,840 --> 00:28:34,800 Speaker 1: couldn't do that stand up that he did last night 530 00:28:34,960 --> 00:28:37,520 Speaker 1: and get away with it. I mean I could do it. 531 00:28:37,560 --> 00:28:39,320 Speaker 1: I could do it now because I've got enough money 532 00:28:39,360 --> 00:28:41,320 Speaker 1: that it doesn't matter if somebody tries to come. But 533 00:28:41,360 --> 00:28:43,640 Speaker 1: I mean, like I think you wouldn't you know, culturally speaking, 534 00:28:43,680 --> 00:28:46,320 Speaker 1: you wouldn't get away with saying the things that that 535 00:28:46,440 --> 00:28:48,800 Speaker 1: Dave Chappelle is saying. Right, that's another party. That's the 536 00:28:48,840 --> 00:28:51,640 Speaker 1: problem with identity politics in general is that it creates 537 00:28:51,720 --> 00:28:55,440 Speaker 1: different speech codes for different people based on immutable characteristics. 538 00:28:55,480 --> 00:28:57,840 Speaker 1: We don't get to choose. I gotta run out. I'm 539 00:28:57,880 --> 00:29:00,280 Speaker 1: headed to Texas that I'm headed to LA I'll hang 540 00:29:00,320 --> 00:29:01,840 Speaker 1: out with all you guys next week. Buck. Have a 541 00:29:01,880 --> 00:29:04,040 Speaker 1: great weekend. Yeah, man, have a great weekend. Clay. Everyone's 542 00:29:04,040 --> 00:29:06,000 Speaker 1: gonna say goodbye to Clay for now. He'll be back 543 00:29:06,040 --> 00:29:08,400 Speaker 1: with us soon and I'll bring you home. Here in 544 00:29:08,440 --> 00:29:12,960 Speaker 1: a second with Grammy nominated singer songwriter John Andrazik of 545 00:29:13,160 --> 00:29:16,080 Speaker 1: Five for Fighting, who has a new song out and 546 00:29:16,600 --> 00:29:20,240 Speaker 1: he was inspired to write it because of Afghanistan and 547 00:29:20,400 --> 00:29:22,920 Speaker 1: the withdrawal there and the debacle. So we'll come back 548 00:29:22,920 --> 00:29:25,360 Speaker 1: and talk about that. In a moment. Gold is valuable 549 00:29:25,400 --> 00:29:28,000 Speaker 1: for so many reasons, protection being one of them. But 550 00:29:28,160 --> 00:29:30,920 Speaker 1: protection from what, well, how about inflation? How about the 551 00:29:30,960 --> 00:29:34,520 Speaker 1: shrinking value of our dollar? How about a hedge against 552 00:29:34,560 --> 00:29:38,400 Speaker 1: de voltle stock market? Gold equals protection. People are purchasing 553 00:29:38,480 --> 00:29:41,680 Speaker 1: gold these days in greater proportion than before, and it's 554 00:29:41,760 --> 00:29:44,520 Speaker 1: easier than ever before because of companies like our sponsor, 555 00:29:44,640 --> 00:29:48,960 Speaker 1: the Oxford Gold Group. They've made it convenient and simple 556 00:29:49,000 --> 00:29:51,240 Speaker 1: for you to purchase gold and take physical possession of it, 557 00:29:51,320 --> 00:29:53,760 Speaker 1: no matter where you live or for that matter. They've 558 00:29:53,760 --> 00:29:55,320 Speaker 1: made it simple and clear to buy gold and place 559 00:29:55,360 --> 00:29:57,480 Speaker 1: it within your IRA if you want to do that. So, 560 00:29:57,560 --> 00:30:00,560 Speaker 1: if you think buying real goal is complicated, my friends 561 00:30:00,560 --> 00:30:02,480 Speaker 1: at the Oxford Gold Group are who you need to call. 562 00:30:02,520 --> 00:30:05,360 Speaker 1: They're going to explain everything to you. Having real gold 563 00:30:05,400 --> 00:30:08,160 Speaker 1: delivered to your home or having real gold as part 564 00:30:08,200 --> 00:30:10,760 Speaker 1: of your IRA, it is just a phone call away 565 00:30:10,800 --> 00:30:13,840 Speaker 1: with Oxford Gold. Call them right now A three three 566 00:30:14,360 --> 00:30:17,080 Speaker 1: four zero four Gold and learn how you can have 567 00:30:17,240 --> 00:30:19,600 Speaker 1: real gold in your IRA and delivered to your door. 568 00:30:19,880 --> 00:30:22,440 Speaker 1: That's the Oxford Gold Group at eight three three four 569 00:30:22,600 --> 00:30:26,440 Speaker 1: zero four Gold A three three four zero four g 570 00:30:26,760 --> 00:30:30,240 Speaker 1: O L D and instance see I told you so. 571 00:30:30,720 --> 00:30:33,480 Speaker 1: If you want something chiseled in marble, what I said 572 00:30:34,200 --> 00:30:37,280 Speaker 1: needs to be chiseled in marble. Still relevant to this 573 00:30:37,680 --> 00:30:41,080 Speaker 1: very day. Clay Travis and Buck Sexton on the EIB 574 00:30:41,440 --> 00:30:52,240 Speaker 1: Network got one more segment here for all of you 575 00:30:52,320 --> 00:30:54,560 Speaker 1: on the Clay Travis and Buck Sexton Show. Thank you 576 00:30:54,640 --> 00:30:57,200 Speaker 1: so much for being with us today. If you missed 577 00:30:57,200 --> 00:30:59,240 Speaker 1: any part of the show, go to the podcast please 578 00:30:59,280 --> 00:31:01,680 Speaker 1: of the Clay Traps us In Buck Sexton Show. Wherever 579 00:31:01,720 --> 00:31:03,800 Speaker 1: you get your podcast, The iHeart app a great place 580 00:31:03,880 --> 00:31:05,920 Speaker 1: to do it. But we have a special guest with 581 00:31:06,000 --> 00:31:10,360 Speaker 1: us now. Grammy nominated singer songwriter John Ondrasik of five 582 00:31:10,480 --> 00:31:13,160 Speaker 1: for Fighting. He's known for his hits A Hundred Years 583 00:31:13,200 --> 00:31:16,360 Speaker 1: and Superman, and John was so appalled by our withdrawal 584 00:31:16,400 --> 00:31:19,240 Speaker 1: from Afghanistan under the Biden administration that he wrote a 585 00:31:19,320 --> 00:31:23,240 Speaker 1: song expressing his anger, which has gone viral. The song 586 00:31:23,480 --> 00:31:25,840 Speaker 1: Blood on My Hands really connected with the military, so 587 00:31:25,960 --> 00:31:29,440 Speaker 1: much so that John decided to donate all proceeds to 588 00:31:29,560 --> 00:31:32,560 Speaker 1: Afghan refugee and relief charities as well as the Gary 589 00:31:32,640 --> 00:31:35,080 Speaker 1: Sini's Foundation. He did a show in New York City. 590 00:31:35,120 --> 00:31:37,120 Speaker 1: Here a couple nights ago. Our producer Ali actually went 591 00:31:37,160 --> 00:31:40,120 Speaker 1: it was free for all veterans. John joins us. Now, John, 592 00:31:40,200 --> 00:31:42,800 Speaker 1: thanks for being on the show, Buck, thanks for having me. 593 00:31:43,040 --> 00:31:44,880 Speaker 1: So I understand this all started because you got a 594 00:31:44,920 --> 00:31:47,880 Speaker 1: phone call from a friend, a private citizen who was 595 00:31:48,040 --> 00:31:51,760 Speaker 1: organizing evacuation missions out of Afghanistan at the end of 596 00:31:51,800 --> 00:31:55,160 Speaker 1: the summer. Tell us what happened. That's true. I had 597 00:31:55,240 --> 00:31:57,720 Speaker 1: no intention of writing a song, took no pleasure in 598 00:31:57,840 --> 00:31:59,840 Speaker 1: releasing this type of song. But I have a friend 599 00:32:00,400 --> 00:32:02,440 Speaker 1: who called me and said, hey, I need a contact. 600 00:32:02,600 --> 00:32:06,280 Speaker 1: I'm organizing evacs of am sits from Afghanistan. And this 601 00:32:06,400 --> 00:32:09,160 Speaker 1: is after we left our last troop left the ground, 602 00:32:09,240 --> 00:32:11,720 Speaker 1: and there was quiet on the line, and I said, 603 00:32:12,280 --> 00:32:13,920 Speaker 1: so you're telling me you're going to risk your life, 604 00:32:13,960 --> 00:32:16,360 Speaker 1: in your colleague's life, to go rescue Americans we left behind, 605 00:32:17,080 --> 00:32:21,360 Speaker 1: and she kind of choked up and said yeah. And 606 00:32:21,480 --> 00:32:24,920 Speaker 1: the song started. The first few verses came about, and 607 00:32:25,280 --> 00:32:27,320 Speaker 1: it really wrote itself. When the President came out and 608 00:32:27,760 --> 00:32:31,120 Speaker 1: gave his Extraordinary success speech, and I kept waiting for 609 00:32:31,200 --> 00:32:33,400 Speaker 1: Million Austin to come out and clarify that I have 610 00:32:33,520 --> 00:32:35,600 Speaker 1: great respect for the military. I've sent my whole career 611 00:32:35,680 --> 00:32:39,200 Speaker 1: playing for the military. But when they echoed the extraordinary 612 00:32:39,240 --> 00:32:42,760 Speaker 1: airlift narrative, I realized very quickly this was a political operation, 613 00:32:42,880 --> 00:32:44,920 Speaker 1: not a military one. And the lines about them and 614 00:32:45,000 --> 00:32:48,600 Speaker 1: their kind of disgrace of their honor wrote themselves. John, 615 00:32:48,640 --> 00:32:51,160 Speaker 1: You've always been very supportive of the military. You've performed 616 00:32:51,160 --> 00:32:54,040 Speaker 1: a lot, I know for the USO, you've donated music 617 00:32:54,080 --> 00:32:57,240 Speaker 1: to the troops, you performed in the nine to eleven 618 00:32:57,280 --> 00:32:59,680 Speaker 1: concert in New York City. What was it about this 619 00:32:59,760 --> 00:33:04,960 Speaker 1: particular event that really propelled you to action? I think 620 00:33:05,480 --> 00:33:09,520 Speaker 1: deep down we all know that the American honor has 621 00:33:09,520 --> 00:33:11,479 Speaker 1: been damaged. We've lost the piece of our soul by 622 00:33:11,840 --> 00:33:16,520 Speaker 1: not just abandoning American citizens, but abandoning allies that fought 623 00:33:16,640 --> 00:33:19,920 Speaker 1: with us that maybe saved our soldiers' lives to the Taliban. 624 00:33:20,480 --> 00:33:23,120 Speaker 1: And I think until we admit that complicity, there's been 625 00:33:23,200 --> 00:33:25,760 Speaker 1: zero accountability. As you know, you've been documenting this from 626 00:33:25,840 --> 00:33:29,320 Speaker 1: day one. Nobody's resigned, nobody's been fired. Until we admit 627 00:33:29,400 --> 00:33:33,280 Speaker 1: that complicity and take some accountability for our role in 628 00:33:33,320 --> 00:33:36,560 Speaker 1: this disaster, especially for women and children in Afghanistan, that 629 00:33:36,720 --> 00:33:38,680 Speaker 1: shame in our gut, like any shame will continue to 630 00:33:38,760 --> 00:33:41,360 Speaker 1: fester and our moral conscience will continue to erode. So 631 00:33:41,800 --> 00:33:46,000 Speaker 1: I think it's going to have generational genderis or consequences. 632 00:33:46,480 --> 00:33:50,760 Speaker 1: And I am I'm just so hurt for our veterans 633 00:33:51,120 --> 00:33:52,960 Speaker 1: who every night after the show come up to me. 634 00:33:53,040 --> 00:33:56,360 Speaker 1: They can't even talk. There's tears in their eyes. They're anger, 635 00:33:56,440 --> 00:33:59,000 Speaker 1: they're shame. And I've noticed what the song you mentioned 636 00:33:59,000 --> 00:34:01,479 Speaker 1: the concert before you New York, back in the day. 637 00:34:01,520 --> 00:34:04,240 Speaker 1: I saw a song twenty years ago help people get 638 00:34:04,280 --> 00:34:06,720 Speaker 1: to a really hard time. Songs can be cathartic in 639 00:34:06,760 --> 00:34:09,279 Speaker 1: ways other things can't. And our troops need to know 640 00:34:09,440 --> 00:34:11,960 Speaker 1: they are not alone. America is feeling their pain and 641 00:34:12,040 --> 00:34:14,800 Speaker 1: their anger, and I think that's one reason the song's resonating. 642 00:34:15,200 --> 00:34:19,360 Speaker 1: When you heard about the popular Afghan folk singer Fauad 643 00:34:19,560 --> 00:34:22,960 Speaker 1: under Robbie who was dragged from his home and shot 644 00:34:23,040 --> 00:34:25,840 Speaker 1: by the Taliban in late August, what impact did that 645 00:34:25,960 --> 00:34:28,880 Speaker 1: have on you as a fellow musician. You tell me 646 00:34:29,040 --> 00:34:32,799 Speaker 1: it's like you would think that if they free folksinger 647 00:34:33,000 --> 00:34:37,439 Speaker 1: was killed by the Taliban another country, maybe Rolling Stone 648 00:34:37,480 --> 00:34:40,560 Speaker 1: would put him on their cover. Maybe all these people 649 00:34:41,320 --> 00:34:44,279 Speaker 1: AOC and all the folks that have their Virtue Hill, 650 00:34:44,400 --> 00:34:46,880 Speaker 1: and they talk about compassion when we're seeing the biggest 651 00:34:46,920 --> 00:34:50,480 Speaker 1: women's rights disaster in a generation. Might speak up about 652 00:34:50,520 --> 00:34:53,160 Speaker 1: that the music industry, Look, Buck, we know I would 653 00:34:53,160 --> 00:34:55,800 Speaker 1: have written the same song if Donald Trump was president, 654 00:34:55,880 --> 00:34:58,239 Speaker 1: only the name would change and we'd know I'd be 655 00:34:58,320 --> 00:35:00,680 Speaker 1: the toast of the town practicing my Grammy speech. Where 656 00:35:00,760 --> 00:35:04,839 Speaker 1: are the usual suspects who talk about compassion oppression? They 657 00:35:04,920 --> 00:35:09,320 Speaker 1: should be writing these songs, not just me. It's a disgrace, John. 658 00:35:09,600 --> 00:35:11,920 Speaker 1: What are veterans who come up to you who have 659 00:35:12,000 --> 00:35:15,000 Speaker 1: been really affected by this song? What are they saying 660 00:35:15,080 --> 00:35:17,920 Speaker 1: to you? And what would you now, with all fifty 661 00:35:17,960 --> 00:35:20,719 Speaker 1: states having radio stations and a lot of veterans in 662 00:35:20,800 --> 00:35:22,359 Speaker 1: our audience here, what do you want to say to them? 663 00:35:23,760 --> 00:35:27,000 Speaker 1: They're angry at million Austin. They feel that the usual 664 00:35:27,080 --> 00:35:29,640 Speaker 1: troops on the ground, when they make mistakes, they're held accountable. 665 00:35:29,640 --> 00:35:31,960 Speaker 1: But these guys are going to get book deals and 666 00:35:32,080 --> 00:35:35,000 Speaker 1: do one hundred thousand dollars keynotes. But mostly they're ashamed 667 00:35:35,280 --> 00:35:38,239 Speaker 1: because people that were fighting by their side have been 668 00:35:38,320 --> 00:35:40,640 Speaker 1: left behind. Now here's the good news. The American promise 669 00:35:40,680 --> 00:35:44,080 Speaker 1: has not been forgotten. We have vets who have drained 670 00:35:44,120 --> 00:35:46,719 Speaker 1: their bank accounts, they have quit their jobs. They are 671 00:35:46,760 --> 00:35:50,200 Speaker 1: down there as we speak, performing operations to keep the 672 00:35:50,239 --> 00:35:52,160 Speaker 1: American promise alive, and you will have them on your 673 00:35:52,200 --> 00:35:54,400 Speaker 1: show one day. Their stories are heroic. I talk to 674 00:35:54,480 --> 00:35:57,080 Speaker 1: them and some of my contexts every day. So to 675 00:35:57,200 --> 00:35:59,759 Speaker 1: the vets out there, we love you, we have your back, 676 00:36:00,320 --> 00:36:03,399 Speaker 1: we know we know what you're feeling. If you need help, 677 00:36:03,560 --> 00:36:07,239 Speaker 1: Gary Siney's Foundation, there's so many outlets America have your back, 678 00:36:07,320 --> 00:36:09,560 Speaker 1: even though our government has let you down. We're gonna 679 00:36:09,560 --> 00:36:13,840 Speaker 1: post John's song Blood on my Hands at our websiteclanbuck 680 00:36:13,920 --> 00:36:16,680 Speaker 1: dot com. You can also find out more about what 681 00:36:16,840 --> 00:36:21,719 Speaker 1: John's doing to help veterans there. John Ondrasik of five 682 00:36:21,800 --> 00:36:23,880 Speaker 1: for fighting John. Great to have you here, sir, come 683 00:36:23,920 --> 00:36:26,520 Speaker 1: back soon. Thanks buddy, have a good weekend. Take care, 684 00:36:27,320 --> 00:36:29,440 Speaker 1: And just in closing, team, I want to tell you 685 00:36:29,560 --> 00:36:32,920 Speaker 1: all that I am very pleased I'll be receiving an 686 00:36:33,040 --> 00:36:36,160 Speaker 1: honor from the Metropolitan Republican Club of New York tonight 687 00:36:36,280 --> 00:36:40,160 Speaker 1: here in New York City. I've been telling people in 688 00:36:40,200 --> 00:36:42,480 Speaker 1: the last couple days to go. Apparently it's totally sold out, 689 00:36:42,560 --> 00:36:46,360 Speaker 1: so we've already gotten tickets because they're at max capacity, 690 00:36:46,520 --> 00:36:49,800 Speaker 1: but very kind. They're just honoring the work that we 691 00:36:49,880 --> 00:36:52,160 Speaker 1: do here on the show. And so I'll be taking 692 00:36:52,160 --> 00:36:56,319 Speaker 1: award on behalf of the show. So if you're gonna 693 00:36:56,320 --> 00:36:58,480 Speaker 1: be there down at New York City at the Metropolitan 694 00:36:58,520 --> 00:37:00,799 Speaker 1: Republican Club, be great to see you. Please come over 695 00:37:00,840 --> 00:37:02,640 Speaker 1: and say hi, and we'll hang out. We'll chat a 696 00:37:02,719 --> 00:37:06,960 Speaker 1: little bit, and honestly, I'm just gonna rest up this weekend, 697 00:37:07,239 --> 00:37:09,840 Speaker 1: dive into some research, get ready to bring you the 698 00:37:10,040 --> 00:37:14,280 Speaker 1: best show we possibly can on Monday. Have a great weekend, everybody, 699 00:37:14,600 --> 00:37:20,360 Speaker 1: talk to you soon. You're listening to Clay Travis and 700 00:37:20,560 --> 00:37:23,280 Speaker 1: Buck Sex to fund the EID Network.