1 00:00:00,280 --> 00:00:04,480 Speaker 1: Welcome back in Clay Travis buck Sexton Show, Friday Edition. 2 00:00:04,559 --> 00:00:06,760 Speaker 1: I hope all of you are going to have fantastic 3 00:00:06,800 --> 00:00:11,200 Speaker 1: weekends wherever you may be across this great country or 4 00:00:11,320 --> 00:00:14,400 Speaker 1: this great land. I am Clay Travis. He is buck Sexton. 5 00:00:14,480 --> 00:00:17,640 Speaker 1: We are chasing down the stories of the day. We've 6 00:00:17,640 --> 00:00:21,880 Speaker 1: been talking about the CDC recommending boosters and contravention to 7 00:00:22,040 --> 00:00:26,360 Speaker 1: the recommendations that were made just last week. We've got 8 00:00:26,360 --> 00:00:28,040 Speaker 1: a lot of different stories to get into. We've been 9 00:00:28,040 --> 00:00:30,840 Speaker 1: talking about the border as well. Encourage you to make 10 00:00:30,840 --> 00:00:33,080 Speaker 1: sure that you grab the podcast. You can search out 11 00:00:33,120 --> 00:00:37,000 Speaker 1: my name Clay Travis buck Sexton. We're up on iTunes, Spotify, 12 00:00:37,920 --> 00:00:42,320 Speaker 1: the Google Play and Google Stitcher or whatever they are, 13 00:00:42,360 --> 00:00:45,640 Speaker 1: all these different places where you can go find the show. 14 00:00:46,360 --> 00:00:48,479 Speaker 1: I'd encourage you to download it and give us five stars. 15 00:00:48,479 --> 00:00:50,239 Speaker 1: We appreciate all of you listening that way, as well 16 00:00:50,240 --> 00:00:53,040 Speaker 1: as all of you listening on over four hundred and 17 00:00:53,040 --> 00:00:58,960 Speaker 1: fifty affiliates in all fifty states. So the people on 18 00:00:59,160 --> 00:01:02,280 Speaker 1: the View, they do a live show. I think it's 19 00:01:02,280 --> 00:01:04,520 Speaker 1: on ABC or maybe it's syndicated. I don't I don't 20 00:01:04,520 --> 00:01:07,520 Speaker 1: really know. I haven't watched it that much. Ever, but 21 00:01:08,319 --> 00:01:13,240 Speaker 1: they were preparing to interview Kamala Harris, and before they 22 00:01:13,319 --> 00:01:19,280 Speaker 1: interviewed the vice president, they were going after everyone who 23 00:01:19,360 --> 00:01:26,520 Speaker 1: was unvaccinated, with the continued lamentations of the uneducated as if, oh, 24 00:01:26,600 --> 00:01:29,360 Speaker 1: if everybody's vaccinated, COVID just goes away, it's all the 25 00:01:29,440 --> 00:01:32,200 Speaker 1: unvaccinated people's fault, even though the data doesn't reflect that. 26 00:01:32,200 --> 00:01:33,360 Speaker 1: And by the way, Buck, I don't know if you 27 00:01:33,400 --> 00:01:36,560 Speaker 1: agree with this. I think Joy Behar maybe the dumbest 28 00:01:36,600 --> 00:01:40,080 Speaker 1: person who's on television on a daily basis, like in 29 00:01:40,200 --> 00:01:44,240 Speaker 1: terms of what she says, strong, continuinely question her intelligence, 30 00:01:44,280 --> 00:01:47,200 Speaker 1: strong contender, some other names come to mind, But I 31 00:01:47,240 --> 00:01:50,680 Speaker 1: gotta tell you her brand is to say the dumbest 32 00:01:50,720 --> 00:01:56,360 Speaker 1: things imaginable television, and it's every time I see her 33 00:01:56,400 --> 00:02:01,960 Speaker 1: say anything, it is the most colossally wrong and unintelligent 34 00:02:02,040 --> 00:02:04,920 Speaker 1: take that you could possibly have on virtually every subject. 35 00:02:04,920 --> 00:02:06,400 Speaker 1: What was she? Was she a comedian? How did she 36 00:02:06,480 --> 00:02:08,639 Speaker 1: end up with that job? Yeah, she was a comedian 37 00:02:08,760 --> 00:02:11,200 Speaker 1: for a long time, and she's still a comedian without 38 00:02:11,240 --> 00:02:14,000 Speaker 1: intending to be whenever she speaks about American politics or 39 00:02:14,040 --> 00:02:17,040 Speaker 1: really anything for that matter. So we're gonna play a 40 00:02:17,080 --> 00:02:19,440 Speaker 1: couple of clips for you. This just happened, I don't know, 41 00:02:19,480 --> 00:02:22,160 Speaker 1: in the last couple of hours, last hour or so, 42 00:02:23,000 --> 00:02:26,400 Speaker 1: the view was getting ready for their Kamala Harris event, 43 00:02:26,560 --> 00:02:30,440 Speaker 1: their interview, and they have a producer walk out and 44 00:02:30,520 --> 00:02:34,040 Speaker 1: let them know that two of the hosts have tested 45 00:02:34,080 --> 00:02:36,520 Speaker 1: positive or have to be removed from the set. And 46 00:02:36,520 --> 00:02:38,079 Speaker 1: then I think we get an explanation. Let me go 47 00:02:38,120 --> 00:02:40,840 Speaker 1: ahead and start with the first conversation here. They seeks 48 00:02:40,840 --> 00:02:44,000 Speaker 1: to be something happening here that I'm not aware of. 49 00:02:44,480 --> 00:02:48,520 Speaker 1: Can someone please apprise me of the situation? The two 50 00:02:48,560 --> 00:02:50,720 Speaker 1: of you to step off for a second, Okay, Anna 51 00:02:50,800 --> 00:02:56,639 Speaker 1: and La Yes, and we'll tell you why more information later, 52 00:02:57,760 --> 00:03:00,400 Speaker 1: tell you why in a couple of minutes. Shall I 53 00:03:00,400 --> 00:03:06,560 Speaker 1: introduce the vice president? Yes? Okay? So vice President? No, okay? 54 00:03:06,760 --> 00:03:12,280 Speaker 1: Shall we dance? Let's do what's happen Black Lives Talk? 55 00:03:12,440 --> 00:03:14,880 Speaker 1: Marthill will come back, as we always do, Intelligion when 56 00:03:14,919 --> 00:03:20,040 Speaker 1: wearing a tight spot. We'll be right back. So we 57 00:03:20,440 --> 00:03:22,440 Speaker 1: do live Yeah, I mean we do live radio. They 58 00:03:22,440 --> 00:03:24,640 Speaker 1: do live TV. So when you're live, you're live, and 59 00:03:24,720 --> 00:03:29,240 Speaker 1: stuff happens. So they had two of the hosts before 60 00:03:29,520 --> 00:03:32,360 Speaker 1: Clay also, what is going on here they want I 61 00:03:32,360 --> 00:03:34,440 Speaker 1: guess they wanted it. Look, we're talking about it, so 62 00:03:34,520 --> 00:03:36,800 Speaker 1: maybe that's the whole plan. Right. They had tests of 63 00:03:36,840 --> 00:03:41,040 Speaker 1: the host for COVID before Kamala. Now I would I 64 00:03:41,040 --> 00:03:44,119 Speaker 1: would bet that all of these hosts are vaccinated, right, 65 00:03:44,120 --> 00:03:48,080 Speaker 1: so start with that. So they're vaccinated but still being tested. 66 00:03:48,160 --> 00:03:51,360 Speaker 1: Because it's only one in five thousand, as Biden says, 67 00:03:51,400 --> 00:03:53,920 Speaker 1: that you'll have a breakthrough infection, seems like there's an 68 00:03:53,960 --> 00:03:57,680 Speaker 1: awful lot of breakthrough infection. I have a number five thousand. 69 00:03:57,760 --> 00:04:00,280 Speaker 1: I have friends, I know people here in the York 70 00:04:00,320 --> 00:04:04,480 Speaker 1: City who are vaccinated and who have five thousand people, yeah, 71 00:04:04,520 --> 00:04:07,520 Speaker 1: and who have gotten six So it feels a little weird. 72 00:04:07,920 --> 00:04:11,200 Speaker 1: But yeah, it turns out that Anna Navarro and Sonny Houston, 73 00:04:11,280 --> 00:04:16,040 Speaker 1: two of the hosts on the View, tested positive for COVID, 74 00:04:16,440 --> 00:04:18,640 Speaker 1: And I just have to say, these are two ladies 75 00:04:18,720 --> 00:04:21,480 Speaker 1: who are on a show that on a regular basis 76 00:04:21,680 --> 00:04:25,800 Speaker 1: is essentially looking down on well Trump voters period, but 77 00:04:25,880 --> 00:04:29,520 Speaker 1: also Trump voters who they say won't get vaccinated because 78 00:04:29,560 --> 00:04:33,920 Speaker 1: they deny science. And they also make this into a 79 00:04:34,040 --> 00:04:37,440 Speaker 1: moral question. Right, whenever someone gets vaccinated, who's on the 80 00:04:37,480 --> 00:04:40,760 Speaker 1: other team. I'm sorry, gets infected with the viruses on 81 00:04:40,800 --> 00:04:43,600 Speaker 1: the other team, there's this assumption of like, yeah, well 82 00:04:43,800 --> 00:04:47,080 Speaker 1: you got it because you didn't listen to fauci. I mean, 83 00:04:47,080 --> 00:04:49,080 Speaker 1: one hundred and one hundred and fifty million people have 84 00:04:49,120 --> 00:04:51,360 Speaker 1: been infected with this virus. Like, at what point do 85 00:04:51,480 --> 00:04:54,120 Speaker 1: we drop the what did you do to get the 86 00:04:54,240 --> 00:04:58,240 Speaker 1: virus idiocy that comes from the Fauciites, let's listen to 87 00:04:58,440 --> 00:05:01,920 Speaker 1: They came back from commercial break buck and announced that 88 00:05:02,000 --> 00:05:04,599 Speaker 1: both of those two women who they had removed had 89 00:05:04,600 --> 00:05:07,159 Speaker 1: tested positive for COVID. This is what it sounded like, 90 00:05:09,520 --> 00:05:11,520 Speaker 1: since this is going to be a major news story 91 00:05:11,560 --> 00:05:14,599 Speaker 1: any minute now. Yeah, what happens is that Sonny and 92 00:05:14,640 --> 00:05:17,840 Speaker 1: Anna both apparently tested positive for COVID. No matter how 93 00:05:17,839 --> 00:05:20,640 Speaker 1: hard we try, of these things happen. They probably have 94 00:05:20,680 --> 00:05:23,560 Speaker 1: a breakthrough case and they'll be okay, I'm sure because 95 00:05:23,600 --> 00:05:26,560 Speaker 1: they're both vaccinated up the wazoo. You know a lot 96 00:05:26,560 --> 00:05:30,719 Speaker 1: of vaccines, so U and the Vice President is being 97 00:05:30,720 --> 00:05:33,839 Speaker 1: prepped for her arrival. Right, yep. They cleaned the table, 98 00:05:34,080 --> 00:05:36,719 Speaker 1: we washed these in the hands. Everybody's getting well cleaned 99 00:05:36,760 --> 00:05:39,440 Speaker 1: up and she'll be out here in a second. So 100 00:05:39,920 --> 00:05:44,120 Speaker 1: it's vaccinated up the Lazoo, as she says, as if 101 00:05:44,200 --> 00:05:48,520 Speaker 1: like your love of masks and vaccines is an extra 102 00:05:48,600 --> 00:05:50,720 Speaker 1: layer of protection in and of itself. You know, if 103 00:05:50,760 --> 00:05:54,560 Speaker 1: you worship at the altar of fauciism, Claire, you more protected. 104 00:05:54,600 --> 00:05:57,039 Speaker 1: How do you get vaccinated up the wall? I mean, yeah, well, 105 00:05:57,040 --> 00:05:59,400 Speaker 1: I guess it'll be a tough place to be getting vaccinated, 106 00:05:59,440 --> 00:06:02,160 Speaker 1: I think. But let me let's break this down a 107 00:06:02,200 --> 00:06:05,520 Speaker 1: little bit more, because all this is very strange. So 108 00:06:05,720 --> 00:06:08,360 Speaker 1: if you wanted to daily test, first of all, let's 109 00:06:08,360 --> 00:06:12,160 Speaker 1: start here. The breakthrough rate is way more than one 110 00:06:12,200 --> 00:06:14,799 Speaker 1: in five thousand, because I bet just about every single 111 00:06:14,839 --> 00:06:18,480 Speaker 1: person listening to us know someone who has been who 112 00:06:18,520 --> 00:06:21,520 Speaker 1: has been vaccinated that has also been tested positive for COVID, 113 00:06:21,520 --> 00:06:23,800 Speaker 1: and certainly there have been a ton of celebrities who have. 114 00:06:24,440 --> 00:06:28,320 Speaker 1: But if you're daily testing still for COVID even though 115 00:06:28,839 --> 00:06:32,359 Speaker 1: they've been vaccinated, why would you daily test in a 116 00:06:32,440 --> 00:06:34,919 Speaker 1: way that you get results in the middle of a 117 00:06:34,960 --> 00:06:39,600 Speaker 1: live television program. Well, because it obviously creates the opportunity, 118 00:06:39,640 --> 00:06:42,279 Speaker 1: I guess for the on air. I think they're planning saw. 119 00:06:42,920 --> 00:06:45,200 Speaker 1: I mean, it seems very weird that they would wait 120 00:06:45,279 --> 00:06:46,960 Speaker 1: till they were out Maybe maybe there was some kind 121 00:06:46,960 --> 00:06:49,160 Speaker 1: of a delay. You know, they have those fifteen minute tests. 122 00:06:49,240 --> 00:06:51,279 Speaker 1: Maybe it was more like an hour or two hour delay. 123 00:06:51,360 --> 00:06:52,880 Speaker 1: I you know, I don't know. I remember the first 124 00:06:52,880 --> 00:06:54,240 Speaker 1: time I went to the White House to speak to 125 00:06:54,240 --> 00:06:56,720 Speaker 1: Trump in well, and that was the first time of 126 00:06:56,760 --> 00:06:58,200 Speaker 1: the White House. But the last time I meant in 127 00:06:58,200 --> 00:07:00,719 Speaker 1: the White House to speak to Trump in the spring 128 00:07:00,760 --> 00:07:05,080 Speaker 1: of twenty twenty, they had these fifteen minute rapid squad. Yeah, everybody, 129 00:07:05,279 --> 00:07:07,360 Speaker 1: everybody had to do it before you went in. So 130 00:07:07,440 --> 00:07:09,640 Speaker 1: I guess if you're around the VP. But notice how 131 00:07:09,920 --> 00:07:13,560 Speaker 1: they're all vaccinated, two of them. What are the chances 132 00:07:14,160 --> 00:07:17,520 Speaker 1: that two people that that that half of the host 133 00:07:17,720 --> 00:07:20,600 Speaker 1: I guess it's hostesses or host whatever of the view 134 00:07:21,360 --> 00:07:24,120 Speaker 1: happened to have COVID at this stage when the Vice 135 00:07:24,160 --> 00:07:27,000 Speaker 1: president is coming, they're they're just part of the of 136 00:07:27,000 --> 00:07:30,400 Speaker 1: the one in five thousand chance that we've been told about. Right, 137 00:07:30,440 --> 00:07:33,160 Speaker 1: this is this is where you start to say something's 138 00:07:33,160 --> 00:07:36,520 Speaker 1: not having up play. We know the vaccines lose efficacy 139 00:07:36,600 --> 00:07:39,360 Speaker 1: over time. I do think what you're seeing here is 140 00:07:39,400 --> 00:07:42,600 Speaker 1: a desperation for people to move into the next phase 141 00:07:43,120 --> 00:07:47,080 Speaker 1: of fauciism before it becomes too clear that if you 142 00:07:47,160 --> 00:07:51,320 Speaker 1: got vaccinated in like March or April, come this winter time, 143 00:07:51,640 --> 00:07:55,000 Speaker 1: you're basically just you know, maybe I have a slightly 144 00:07:55,080 --> 00:07:58,200 Speaker 1: better window of protection against death than everybody else. But 145 00:07:58,320 --> 00:08:01,400 Speaker 1: that's it. I mean, you're You're gonna get two questions 146 00:08:01,440 --> 00:08:03,920 Speaker 1: for you. One, do you think Joe Biden has already 147 00:08:03,960 --> 00:08:06,800 Speaker 1: gotten a booster? That's a great question. What do you 148 00:08:06,880 --> 00:08:09,920 Speaker 1: think I kind of think he has. I surprised he 149 00:08:09,960 --> 00:08:12,200 Speaker 1: hasn't been asked. I mean, now I'll ask the production crew. 150 00:08:12,240 --> 00:08:15,120 Speaker 1: I haven't seen anybody in the media ask hey, Joe Biden, 151 00:08:15,200 --> 00:08:17,880 Speaker 1: have you gotten a COVID booster? We know he's been vaccinated. 152 00:08:18,360 --> 00:08:21,120 Speaker 1: And then the second question is if one in five 153 00:08:21,200 --> 00:08:26,560 Speaker 1: thousand is like not in reality the real number. What 154 00:08:26,720 --> 00:08:29,280 Speaker 1: is the White House gonna do if Joe Biden gets 155 00:08:29,320 --> 00:08:32,520 Speaker 1: COVID after already having been vaccinated. Will they tell the truth? 156 00:08:32,559 --> 00:08:34,440 Speaker 1: Will they lie? What will they do? And we know 157 00:08:34,600 --> 00:08:37,120 Speaker 1: Donald Trump got COVID And that was for for about 158 00:08:37,160 --> 00:08:40,199 Speaker 1: twenty four hours. There was a real anxiety in the 159 00:08:40,200 --> 00:08:42,400 Speaker 1: country what's gonna happen? Because Trump was you know, early 160 00:08:42,520 --> 00:08:44,600 Speaker 1: what's the early seventies, when he was six seventy two 161 00:08:44,679 --> 00:08:47,719 Speaker 1: seventy three. I think something like that, Biden. And if 162 00:08:47,720 --> 00:08:49,360 Speaker 1: you look at the if you look at the data 163 00:08:49,400 --> 00:08:53,439 Speaker 1: once again, it shows seventy plus high high risk from COVID, 164 00:08:54,520 --> 00:08:58,720 Speaker 1: eighty plus even more very high risk from COVID. Biden's 165 00:08:58,760 --> 00:09:03,240 Speaker 1: eighty eight, seventy eight about to be seventy nine. Right there, 166 00:09:03,240 --> 00:09:05,440 Speaker 1: at the highest risk, you can be basically yeah. And 167 00:09:05,520 --> 00:09:08,280 Speaker 1: so you sit here, you say, we've been assuming that 168 00:09:08,360 --> 00:09:12,000 Speaker 1: we have a president who's protected, And I say we've 169 00:09:12,000 --> 00:09:13,599 Speaker 1: been assuming. I mean the country has been assuming the 170 00:09:13,640 --> 00:09:17,280 Speaker 1: president is protected, and a lot of other very much 171 00:09:17,280 --> 00:09:21,880 Speaker 1: older politicians are protected because of their vaccination status. But 172 00:09:21,960 --> 00:09:24,000 Speaker 1: as these vaccines fail, I think we can all prepare 173 00:09:24,040 --> 00:09:26,240 Speaker 1: for the reality that they're going to be people who 174 00:09:26,240 --> 00:09:29,160 Speaker 1: are at higher risk or in prominent positions who get COVID, 175 00:09:29,320 --> 00:09:32,600 Speaker 1: And unlike psycho leftists, we're gonna want all of them 176 00:09:32,600 --> 00:09:35,280 Speaker 1: to have the speediest recoveries possible, and we want all 177 00:09:35,360 --> 00:09:38,840 Speaker 1: human beings to beat this virus, no questions asked. But 178 00:09:38,920 --> 00:09:42,320 Speaker 1: it does raise some issues about, Okay, how do we 179 00:09:42,440 --> 00:09:45,520 Speaker 1: how do we handle this going The messaging is totally different. 180 00:09:45,559 --> 00:09:48,840 Speaker 1: Buck If if Joe Biden gets COVID after the vaccine. 181 00:09:48,960 --> 00:09:51,120 Speaker 1: So that's why I think he's been boosted. They may 182 00:09:51,160 --> 00:09:53,200 Speaker 1: have given him multiple boosters, and they may be giving 183 00:09:53,280 --> 00:09:55,120 Speaker 1: him a monthly booster for all. I think we're at 184 00:09:55,120 --> 00:09:57,320 Speaker 1: a point where as long as he does not have 185 00:09:58,040 --> 00:10:02,040 Speaker 1: obvious COVID symptoms, they will never they will never. They'll 186 00:10:02,080 --> 00:10:04,320 Speaker 1: they'll assume it's a false test. If he test positive 187 00:10:04,320 --> 00:10:05,880 Speaker 1: at some point, they will never tell you will never 188 00:10:05,920 --> 00:10:09,839 Speaker 1: igno Joe Biden has has tested positive for COVID, and 189 00:10:10,080 --> 00:10:11,719 Speaker 1: they won't even say, but he'll be fine. He got 190 00:10:11,760 --> 00:10:14,840 Speaker 1: monoclonal antibodies. Everything's no, you know, no issue because of 191 00:10:14,880 --> 00:10:16,920 Speaker 1: what that does to the narrative, right, because the whole, 192 00:10:17,000 --> 00:10:19,679 Speaker 1: the whole storyline here, Clay has been you get the shot, 193 00:10:19,720 --> 00:10:23,320 Speaker 1: you're done. Clearly that's not true, but it's getting less 194 00:10:23,320 --> 00:10:26,080 Speaker 1: and less true. It's getting more obviously false as time 195 00:10:26,120 --> 00:10:29,160 Speaker 1: goes on. And with these ladies on the view, you know, 196 00:10:29,640 --> 00:10:31,800 Speaker 1: do they really think that they just happen to draw 197 00:10:31,840 --> 00:10:34,800 Speaker 1: the unlucky card. Here as two people who are vaccinated 198 00:10:35,120 --> 00:10:36,959 Speaker 1: and find out and you know, clearly they were in 199 00:10:37,000 --> 00:10:39,720 Speaker 1: close proximity, they probably got infected, either one infected the 200 00:10:39,720 --> 00:10:42,240 Speaker 1: other or they had someone in the studio. You know, 201 00:10:42,280 --> 00:10:44,079 Speaker 1: it's not an accident that two people are hosting a 202 00:10:44,120 --> 00:10:47,120 Speaker 1: show together. So where does this Where does this take us? 203 00:10:47,160 --> 00:10:48,720 Speaker 1: And this is what I want to ask, I mean 204 00:10:48,880 --> 00:10:51,080 Speaker 1: Alice Barrenson when he joins us an hour three to 205 00:10:51,120 --> 00:10:53,840 Speaker 1: talk about what does the UK data tell us about 206 00:10:53,840 --> 00:10:55,840 Speaker 1: where this is going? And I would just ask people 207 00:10:55,880 --> 00:10:58,640 Speaker 1: out there in your own lives if the breakthrough case 208 00:10:59,040 --> 00:11:02,240 Speaker 1: odds were truly one in five thousand, and by the way, 209 00:11:02,400 --> 00:11:05,360 Speaker 1: it's one in five thousand every day, which is different 210 00:11:05,400 --> 00:11:08,240 Speaker 1: than one in five thousand overall. But I would bet 211 00:11:08,280 --> 00:11:11,520 Speaker 1: that almost every single person listening to us right now 212 00:11:12,000 --> 00:11:16,679 Speaker 1: know someone who has gotten a breakthrough COVID case after vaccination, 213 00:11:16,800 --> 00:11:18,560 Speaker 1: right And an easy way to think about the Biden 214 00:11:18,600 --> 00:11:22,080 Speaker 1: one in five thousand game is if someone told you, 215 00:11:22,080 --> 00:11:24,520 Speaker 1: you know, you have a one in ten chance of 216 00:11:24,720 --> 00:11:28,079 Speaker 1: not waking up tomorrow, you'd you'd be concerned. If they 217 00:11:28,080 --> 00:11:29,560 Speaker 1: told you had a one in ten chance of not 218 00:11:29,600 --> 00:11:32,360 Speaker 1: waking up tomorrow every day for the next thirty days, 219 00:11:32,880 --> 00:11:35,240 Speaker 1: you'd be really a concern. Yeah, you know, you don't 220 00:11:35,240 --> 00:11:38,480 Speaker 1: want to keep playing. You know, you adds up and 221 00:11:38,520 --> 00:11:40,600 Speaker 1: eventually you end up in a rough spot. If you 222 00:11:40,640 --> 00:11:45,240 Speaker 1: take really risky decisions every day and again. I think 223 00:11:45,240 --> 00:11:49,080 Speaker 1: if Biden tests positive, it is a cataclysmic blow to 224 00:11:49,160 --> 00:11:51,440 Speaker 1: the efficacy of the vaccines because it would be so 225 00:11:51,480 --> 00:11:54,240 Speaker 1: hard to avoid it. By the way, you know what 226 00:11:54,520 --> 00:11:59,959 Speaker 1: really sphinx, Buck, being and feeling unhealthy, being in pain. 227 00:12:00,280 --> 00:12:03,840 Speaker 1: How many people wake up in pain? One in three 228 00:12:04,080 --> 00:12:07,000 Speaker 1: is the number out there. That's why you need to 229 00:12:07,040 --> 00:12:11,120 Speaker 1: get hooked up with our sponsor, Relief Factor. My wife 230 00:12:11,280 --> 00:12:14,560 Speaker 1: uses it, Buck's dad uses it. 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Clay Travis 255 00:13:30,679 --> 00:13:35,520 Speaker 1: send buck Sexton Culture, they can't cancel fund the EIB networking. 256 00:13:43,640 --> 00:13:46,680 Speaker 1: Welcome back to the Clay Travis end buck Sexton Show. 257 00:13:46,840 --> 00:13:49,600 Speaker 1: And we got an answer to a question we posed before. 258 00:13:49,640 --> 00:13:53,120 Speaker 1: And I'm surprised I actually watched the press conference this morning, 259 00:13:53,120 --> 00:13:56,480 Speaker 1: but I was so focused in on Biden's little speech 260 00:13:57,000 --> 00:13:59,600 Speaker 1: on one that boosters now pretty much going to be 261 00:13:59,600 --> 00:14:01,200 Speaker 1: open to ever wants to get a booster. I mean, 262 00:14:01,200 --> 00:14:04,120 Speaker 1: there's official guidance, but trust me, they're not going to 263 00:14:04,200 --> 00:14:06,560 Speaker 1: be saying oh you're a you're not an essential worker, 264 00:14:06,640 --> 00:14:09,360 Speaker 1: you're a less than a essential worker. You can't get 265 00:14:09,360 --> 00:14:12,280 Speaker 1: the shot or whatever. So people are gonna now, if 266 00:14:12,280 --> 00:14:14,240 Speaker 1: you're an adult who wants a booster, you'll be able 267 00:14:14,280 --> 00:14:16,920 Speaker 1: to de facto you'll be able to get one, which 268 00:14:16,920 --> 00:14:18,800 Speaker 1: is a big change from last week where they were saying, oh, no, 269 00:14:18,880 --> 00:14:21,440 Speaker 1: we don't think you need them. M then also, of 270 00:14:21,440 --> 00:14:23,760 Speaker 1: course to lie about the border patrol, which was very 271 00:14:23,800 --> 00:14:27,680 Speaker 1: frustrating for Biden to just say something that the photographers 272 00:14:28,280 --> 00:14:32,080 Speaker 1: in charge, or rather involved who took the photo said 273 00:14:32,320 --> 00:14:36,440 Speaker 1: there was no whipping of migrants or strapping as Biden said. 274 00:14:36,960 --> 00:14:40,560 Speaker 1: But it turns out Clay that Biden said he was 275 00:14:40,560 --> 00:14:45,320 Speaker 1: asked he has not yet gotten his booster, which a 276 00:14:45,320 --> 00:14:47,440 Speaker 1: little bit surprising. I'm a little yeah. We both thought 277 00:14:47,440 --> 00:14:50,080 Speaker 1: he probably had him a little surprised that he addressed 278 00:14:50,080 --> 00:14:52,800 Speaker 1: this and answered this, and I think that he look, 279 00:14:52,800 --> 00:14:54,680 Speaker 1: he will, right, there's no way they're going to have 280 00:14:54,760 --> 00:14:58,680 Speaker 1: this and be presenting this without boosters in the mix, 281 00:14:58,760 --> 00:15:02,320 Speaker 1: for the for the president and for others. But you know, 282 00:15:02,720 --> 00:15:04,800 Speaker 1: do you think they would hide it if he got COVID, 283 00:15:05,040 --> 00:15:07,640 Speaker 1: if they could there any doubt? I think they would, 284 00:15:07,760 --> 00:15:09,560 Speaker 1: I really do. I think if he got really sick, 285 00:15:09,560 --> 00:15:12,520 Speaker 1: they obviously couldn't. But I do believe that if he 286 00:15:12,600 --> 00:15:15,240 Speaker 1: had Remember we're told that right now, it's not that 287 00:15:15,280 --> 00:15:18,040 Speaker 1: the vaccine will keep you from getting COVID. It's that 288 00:15:18,120 --> 00:15:21,200 Speaker 1: the vaccine will keep you from make you less likely 289 00:15:21,240 --> 00:15:24,400 Speaker 1: to be hospitalized and substantially less likely to die if 290 00:15:24,400 --> 00:15:27,400 Speaker 1: you get caught. Right, If he got a mild case 291 00:15:27,440 --> 00:15:29,720 Speaker 1: of COVID that was kind of like a sniffle, and 292 00:15:29,800 --> 00:15:32,280 Speaker 1: they tested and they found out, I think they'd say it's, 293 00:15:32,360 --> 00:15:34,520 Speaker 1: you know, under private medical records, or maybe it was 294 00:15:34,560 --> 00:15:38,000 Speaker 1: an oversensitive they would find some way to avoid telling 295 00:15:38,040 --> 00:15:40,680 Speaker 1: people that he had him and again, mild COVID case 296 00:15:40,720 --> 00:15:42,760 Speaker 1: we're talking about here, But I would. I think I 297 00:15:42,760 --> 00:15:44,920 Speaker 1: think they would try to find a way to avoid 298 00:15:44,960 --> 00:15:48,200 Speaker 1: telling the American public because it would be so disastrous 299 00:15:48,280 --> 00:15:51,440 Speaker 1: for the overall vaccines in general. And by the way, 300 00:15:51,800 --> 00:15:55,720 Speaker 1: God forbid, he actually got ill right like Trump was 301 00:15:55,800 --> 00:15:58,120 Speaker 1: when Trump had to go to the hospital. If he 302 00:15:58,240 --> 00:16:01,840 Speaker 1: got ill afterwards, it would turn into a big deal. 303 00:16:01,880 --> 00:16:04,360 Speaker 1: I think we got the cart twenty two messes today 304 00:16:04,440 --> 00:16:09,040 Speaker 1: is this, If you've got the Fiser vaccine, you've got 305 00:16:08,400 --> 00:16:12,800 Speaker 1: the Fiser vaccine in January February March of this year. 306 00:16:13,480 --> 00:16:16,800 Speaker 1: And you're over sixty five years of age, go get 307 00:16:16,800 --> 00:16:22,680 Speaker 1: the booster. I'll be getting my booster shot. Hard to 308 00:16:22,720 --> 00:16:24,840 Speaker 1: acknowledge him over sixty five, but I'll be getting my 309 00:16:24,840 --> 00:16:29,240 Speaker 1: booster shot. It's a bear, and I tell you acknowling anyway, 310 00:16:29,280 --> 00:16:32,720 Speaker 1: but I'll kid decide everybody booster shot. I'm not sure 311 00:16:32,720 --> 00:16:34,880 Speaker 1: exactly what I'm going to do it as soon as 312 00:16:34,920 --> 00:16:38,280 Speaker 1: I can get it done. The worst Biden is pseudo 313 00:16:38,360 --> 00:16:40,840 Speaker 1: folksy Biden. Just to put that out there, the whole like, 314 00:16:41,120 --> 00:16:43,160 Speaker 1: you know, I'm just here, you know, I'm just I'm 315 00:16:43,240 --> 00:16:45,960 Speaker 1: dropping Gee's off of words because I'm with the folks, 316 00:16:46,520 --> 00:16:48,720 Speaker 1: riding to choo choo train to work every day with 317 00:16:48,840 --> 00:16:51,760 Speaker 1: my lunch pail. You know, this whole Biden, this is 318 00:16:51,760 --> 00:16:53,920 Speaker 1: a fiction clay. This is a guy. I think at 319 00:16:53,920 --> 00:16:55,960 Speaker 1: one point he's gonna seen it. He was like renting 320 00:16:55,960 --> 00:16:58,720 Speaker 1: a twenty five thousand dollars a month house in McLean, Virginia, 321 00:16:59,000 --> 00:17:01,560 Speaker 1: has a two or three million dollar home in Delaware, 322 00:17:01,600 --> 00:17:05,679 Speaker 1: has a beach house on the Delaware shore, and now 323 00:17:05,720 --> 00:17:07,760 Speaker 1: it was probably worth fifteen or twenty million dollars, but 324 00:17:07,760 --> 00:17:09,679 Speaker 1: he's you know, you know, I just I gotta make 325 00:17:09,720 --> 00:17:12,919 Speaker 1: sure I get the less expensive wonderbread because I'm you know, 326 00:17:12,920 --> 00:17:15,360 Speaker 1: watching the pennies, you know he does. It's such crap. 327 00:17:15,480 --> 00:17:18,040 Speaker 1: He's such a phony. But also he's not vaccine. He 328 00:17:18,080 --> 00:17:22,479 Speaker 1: hasn't gotten the booster yet. So yeah, look, I just 329 00:17:22,840 --> 00:17:26,160 Speaker 1: this is a this is a playing with fire incident, 330 00:17:26,240 --> 00:17:30,480 Speaker 1: particularly Buck. If we go into the fall and winter 331 00:17:31,040 --> 00:17:35,320 Speaker 1: and the number of overall COVID infections grows, I hope 332 00:17:35,320 --> 00:17:38,119 Speaker 1: it won't, but if it follows the same trend line 333 00:17:38,119 --> 00:17:42,680 Speaker 1: that we saw previously, then the numbers would explode starting 334 00:17:42,760 --> 00:17:44,640 Speaker 1: in the fall in the winter. So we'll see where 335 00:17:44,640 --> 00:17:47,480 Speaker 1: that happens again. We at the Clay Travis and Buck 336 00:17:47,520 --> 00:17:51,280 Speaker 1: Sexton Show love our dogs. They are members of the family. 337 00:17:51,320 --> 00:17:52,719 Speaker 1: But we want the best for them. We want them 338 00:17:52,720 --> 00:17:55,480 Speaker 1: around for a very long time, and that's why we 339 00:17:55,480 --> 00:17:58,240 Speaker 1: don't feed them dead food. The problem with most dog 340 00:17:58,280 --> 00:18:01,320 Speaker 1: food is that it's dead food. Here's what all dry 341 00:18:01,440 --> 00:18:02,919 Speaker 1: dog food has to be able to sit on a 342 00:18:02,960 --> 00:18:05,720 Speaker 1: shelf at a big box store for two to three years. 343 00:18:06,160 --> 00:18:08,800 Speaker 1: To accomplish this, that dry kibble dog food, the one 344 00:18:08,840 --> 00:18:12,960 Speaker 1: that manufacturers, you know, use. It's a sterilization process in 345 00:18:13,000 --> 00:18:15,840 Speaker 1: place here, so there's nothing alive in your pet food. 346 00:18:16,240 --> 00:18:18,840 Speaker 1: They need good stuff. Your dogs need things that you do, 347 00:18:18,920 --> 00:18:23,640 Speaker 1: like probiotics, enzymes, vitamins and a healthy microbacteria. We feed 348 00:18:23,680 --> 00:18:26,160 Speaker 1: to Lula the Family, the Sex and Family French Sheet 349 00:18:26,640 --> 00:18:29,480 Speaker 1: Rough Greens, and it is a game changer for her 350 00:18:29,600 --> 00:18:32,960 Speaker 1: gut health, for her energy and overall well being. Add 351 00:18:33,040 --> 00:18:35,120 Speaker 1: rough Greens. You don't change your dog food. You add 352 00:18:35,200 --> 00:18:38,320 Speaker 1: rough Greens into your dogs existing food to just make 353 00:18:38,359 --> 00:18:40,600 Speaker 1: it healthier and better. And dogs love it. We get 354 00:18:40,600 --> 00:18:42,879 Speaker 1: testimonials all the time, but how much they're eating it. 355 00:18:43,119 --> 00:18:45,280 Speaker 1: The folks at rough Greens are so confident your dog 356 00:18:45,359 --> 00:18:47,040 Speaker 1: is gonna love it. They've got a special deal for 357 00:18:47,080 --> 00:18:50,240 Speaker 1: listeners to this show. Go to Roughgreens dot com, slash 358 00:18:50,280 --> 00:18:53,960 Speaker 1: Clay and Buck. That's ruf Roughgreens dot Com, slash Clay 359 00:18:53,960 --> 00:18:56,200 Speaker 1: and Buck. They'll give you the first bag free. All 360 00:18:56,240 --> 00:18:59,640 Speaker 1: you pay is shipping, that's right free. Rough Greens dot Com, 361 00:18:59,680 --> 00:19:12,960 Speaker 1: s Clay and Bucks, Fundy eib Network, Welcome back in Clay, 362 00:19:12,960 --> 00:19:18,040 Speaker 1: Travis Buck Sexton show Well. Andrew Cuomo lost his job 363 00:19:18,359 --> 00:19:24,119 Speaker 1: for sexual harassment and today there is a new York 364 00:19:24,160 --> 00:19:30,399 Speaker 1: Times guest essay that is headlined Chris Cuomo. That, of 365 00:19:30,400 --> 00:19:35,760 Speaker 1: course is Chris Cuomo of CNN. Chris Cuomo sexually harassed me. 366 00:19:36,400 --> 00:19:40,439 Speaker 1: I hope he'll use his power to make change. The 367 00:19:40,520 --> 00:19:43,960 Speaker 1: woman who is writing this is Shelley Ross. She was 368 00:19:44,160 --> 00:19:49,600 Speaker 1: a television journalist and former executive producer at ABC and 369 00:19:49,800 --> 00:19:54,320 Speaker 1: CBS and her article here. Her essay begins, I was 370 00:19:54,440 --> 00:19:58,640 Speaker 1: Chris Cuomo's boss at ABC News nearly two decades ago, 371 00:20:00,280 --> 00:20:03,879 Speaker 1: and she says that she was sexually harassed. She's writing 372 00:20:03,920 --> 00:20:08,040 Speaker 1: this in the context of Governor Andrew Cuomo's incident. She 373 00:20:08,119 --> 00:20:14,720 Speaker 1: says that she was harassed by Andrew Cuomo back in 374 00:20:15,600 --> 00:20:19,720 Speaker 1: two thousand and five, and here the details. Buck. I'm curious. 375 00:20:19,760 --> 00:20:24,959 Speaker 1: I'm just is this or should this be a significant punishment, 376 00:20:25,040 --> 00:20:27,600 Speaker 1: maybe even a lost job. She says she doesn't want 377 00:20:27,680 --> 00:20:30,760 Speaker 1: him to lose his job. She says that she doesn't 378 00:20:30,800 --> 00:20:34,920 Speaker 1: believe when he claims that he profoundly is concerned about 379 00:20:34,920 --> 00:20:42,040 Speaker 1: sexual harassment based on his own behavior. So it publishes 380 00:20:42,080 --> 00:20:44,199 Speaker 1: this email, which is kind of strange. I think that 381 00:20:44,280 --> 00:20:48,879 Speaker 1: she saved the email, but this is from June first 382 00:20:49,600 --> 00:20:52,480 Speaker 1: of two thousand and five. What happened. I'll read you 383 00:20:52,480 --> 00:20:54,919 Speaker 1: the email in a second. But what happened was he 384 00:20:55,040 --> 00:20:59,480 Speaker 1: showed up. According to her, he showed up at at 385 00:20:59,480 --> 00:21:02,800 Speaker 1: a party. She was an executive producer of an ABC 386 00:21:03,160 --> 00:21:06,679 Speaker 1: entertainment special, and before that she had been the executive 387 00:21:06,720 --> 00:21:10,600 Speaker 1: producer of Cuomo's show. And she says she was at 388 00:21:10,600 --> 00:21:13,760 Speaker 1: the party with my husband, who sat behind me on 389 00:21:13,800 --> 00:21:17,680 Speaker 1: an ottoman sipping his diet coke as I spoke with 390 00:21:17,760 --> 00:21:22,320 Speaker 1: work friends when mister Cuomo entered again. This is Chris Cuomo, 391 00:21:22,560 --> 00:21:25,920 Speaker 1: the CNN anchor. When mister Cuomo entered the upper West 392 00:21:25,960 --> 00:21:29,199 Speaker 1: Side bar, he walked towards me, greeted me with a 393 00:21:29,280 --> 00:21:33,640 Speaker 1: strong bear hug, while lowering one hand to firmly grab 394 00:21:33,800 --> 00:21:37,520 Speaker 1: and squeeze the cheek of my butt. Then he said, 395 00:21:37,960 --> 00:21:41,800 Speaker 1: I can do this now that you're no longer my boss. 396 00:21:41,800 --> 00:21:45,480 Speaker 1: She says. He said it with a cocky arrogance. She says, no, 397 00:21:45,720 --> 00:21:49,920 Speaker 1: you can't, and then she stepped back to show that 398 00:21:49,960 --> 00:21:54,159 Speaker 1: her husband had seen the entire thing. Says, we quickly left, 399 00:21:54,600 --> 00:21:58,639 Speaker 1: and then he sent an email said now that I 400 00:21:58,720 --> 00:22:01,960 Speaker 1: think of it, I'm ashamed. Aimed though my hearty greeting 401 00:22:02,080 --> 00:22:04,440 Speaker 1: was a function of being glad to see you, which 402 00:22:04,440 --> 00:22:07,440 Speaker 1: sounds a little bit like what Andrew Cuomo has said 403 00:22:07,480 --> 00:22:12,560 Speaker 1: before Christian Slater got arrested for a kind of similar act. 404 00:22:13,080 --> 00:22:15,920 Speaker 1: And as a husband, I can empathize with not liking 405 00:22:15,960 --> 00:22:19,320 Speaker 1: to see my wife patted as such. So pass along 406 00:22:19,400 --> 00:22:22,639 Speaker 1: my apology to your very good and noble husband, and 407 00:22:22,720 --> 00:22:26,119 Speaker 1: I apologize to you as well for even putting you 408 00:22:26,160 --> 00:22:29,399 Speaker 1: in such a position. Next time, I will remember the 409 00:22:29,480 --> 00:22:34,480 Speaker 1: lesson no matter how happy I am to see you. Okay, okay, okay. 410 00:22:34,520 --> 00:22:36,399 Speaker 1: That's the context book for people out there who may 411 00:22:36,400 --> 00:22:37,680 Speaker 1: not have heard it. I wanted to lay it out. 412 00:22:37,720 --> 00:22:39,960 Speaker 1: So there's a few things, a few things that come 413 00:22:39,960 --> 00:22:41,480 Speaker 1: to mind here right away, Clay, I know we're both 414 00:22:41,480 --> 00:22:44,280 Speaker 1: going to have some thoughts on this one. First of all, 415 00:22:44,320 --> 00:22:46,960 Speaker 1: once again, the guys who are the ones always running 416 00:22:46,960 --> 00:22:51,080 Speaker 1: around pretending to be male feminists and huge advocates of 417 00:22:51,320 --> 00:22:55,200 Speaker 1: you know, the me too movement publicly speaking, guys who 418 00:22:55,200 --> 00:22:58,359 Speaker 1: treat women with respect don't have to walk around talking 419 00:22:58,400 --> 00:23:00,840 Speaker 1: about it about how much, actually about how much we 420 00:23:00,960 --> 00:23:04,080 Speaker 1: respect women. You know, it's just you either do or 421 00:23:04,160 --> 00:23:06,800 Speaker 1: you don't. In the workplace. And the guys who I 422 00:23:06,800 --> 00:23:10,840 Speaker 1: would note even in New York obviously, uh Andrew Cuomo 423 00:23:10,920 --> 00:23:14,800 Speaker 1: resigned the Attorney General for the State of New York. 424 00:23:14,880 --> 00:23:18,680 Speaker 1: If memory serves Schneiderman, he also had a meet Too 425 00:23:18,680 --> 00:23:21,399 Speaker 1: incident where he had to he was like abusive and 426 00:23:21,440 --> 00:23:24,280 Speaker 1: horrible to a girlfriend and that came out. I don't 427 00:23:24,280 --> 00:23:27,080 Speaker 1: know if you remember this from Refuge obviously, Elliot Spitzer. 428 00:23:27,080 --> 00:23:29,080 Speaker 1: There's been a lot of dudes in power in New York, 429 00:23:29,160 --> 00:23:32,760 Speaker 1: but but Schneiderman specifically was I mean, he was almost 430 00:23:32,920 --> 00:23:36,240 Speaker 1: like justin Trudeau level, I am a male feminist and 431 00:23:36,320 --> 00:23:37,920 Speaker 1: I'm going to stand up for women in the Meat 432 00:23:37,960 --> 00:23:41,280 Speaker 1: Too era. Total scum this guy, right, So people that 433 00:23:41,359 --> 00:23:43,680 Speaker 1: make a big deal of it, you always should think. 434 00:23:43,960 --> 00:23:45,080 Speaker 1: I don't think you should have to say that you 435 00:23:45,160 --> 00:23:47,840 Speaker 1: respect women the part of this because I didn't. I 436 00:23:47,880 --> 00:23:49,960 Speaker 1: just saw the headline and remember you told me the story. 437 00:23:50,000 --> 00:23:52,640 Speaker 1: The details. The part of this that's the most troubling, 438 00:23:53,480 --> 00:23:55,399 Speaker 1: And there's a there's a few. First of all, no, 439 00:23:55,560 --> 00:23:57,879 Speaker 1: I don't. You don't walk up and squeeze somebody's but 440 00:23:58,320 --> 00:24:01,160 Speaker 1: because you're excited to see them, you know what I mean? Yes, 441 00:24:01,280 --> 00:24:03,520 Speaker 1: this is I mean, this is not something that happens. 442 00:24:03,840 --> 00:24:06,280 Speaker 1: People make jokes that might be a little inappropriate. Sometimes 443 00:24:06,320 --> 00:24:08,000 Speaker 1: people say something to think it could be taking the 444 00:24:08,040 --> 00:24:10,160 Speaker 1: wrong way. Squeeze in the butt is not a thing 445 00:24:10,160 --> 00:24:14,440 Speaker 1: that just happens. And beyond that, doing it in front 446 00:24:14,640 --> 00:24:18,639 Speaker 1: of a married woman's husband. This is the kind of 447 00:24:18,680 --> 00:24:21,359 Speaker 1: thing where, you know, if he took a swing at 448 00:24:21,400 --> 00:24:23,680 Speaker 1: him and there was a tooth on the ground afterwards, 449 00:24:23,680 --> 00:24:25,760 Speaker 1: and I was on the jury, I'd be like, can't 450 00:24:25,760 --> 00:24:29,520 Speaker 1: squeeze a guy's lady's butt? Sorry, I mean I can't. 451 00:24:29,520 --> 00:24:31,440 Speaker 1: For the first of all, the fact that she remembers 452 00:24:31,440 --> 00:24:34,879 Speaker 1: that he's drinking a diet coke, Like she's so enfeebled 453 00:24:35,040 --> 00:24:38,159 Speaker 1: this husband of hers, right, Like, my husband was sitting 454 00:24:38,160 --> 00:24:42,200 Speaker 1: behind me drinking a diet coke and then this man 455 00:24:42,320 --> 00:24:45,000 Speaker 1: walks in and grabs my butt and we were so 456 00:24:45,080 --> 00:24:48,320 Speaker 1: upset we just left and he didn't say anything, Like 457 00:24:48,600 --> 00:24:52,560 Speaker 1: I'm just trying to put myself in that situation. If 458 00:24:53,400 --> 00:24:57,400 Speaker 1: somebody walked up and grabbed my wife and a bear 459 00:24:57,480 --> 00:25:00,840 Speaker 1: hug and grabbed her ass in front of me, I, 460 00:25:02,840 --> 00:25:06,920 Speaker 1: at an absolute bare minimum, you would confront the guy 461 00:25:06,920 --> 00:25:08,960 Speaker 1: and be like, hey, you know, let's also just tell 462 00:25:09,000 --> 00:25:11,800 Speaker 1: everybody Clay missus. Travis would throw a roundhouse, or she 463 00:25:11,920 --> 00:25:15,679 Speaker 1: would yes, she yes, she would not, she would not 464 00:25:15,720 --> 00:25:17,200 Speaker 1: stand for it. And maybe my answer would be I 465 00:25:17,240 --> 00:25:19,359 Speaker 1: would just let her like tee off on the idea. 466 00:25:19,520 --> 00:25:22,840 Speaker 1: I'm actually kind of curious what women would think of 467 00:25:22,880 --> 00:25:25,679 Speaker 1: this scenario. I think there are several things that are 468 00:25:25,720 --> 00:25:28,640 Speaker 1: strange here. One again, the fact that he did this 469 00:25:29,119 --> 00:25:33,119 Speaker 1: to the fact that she saved his email from sixteen 470 00:25:33,240 --> 00:25:37,679 Speaker 1: years ago, Like what's that? What do you make of that? 471 00:25:37,760 --> 00:25:40,919 Speaker 1: By the way, if she accepted his apology, then yeah, 472 00:25:40,960 --> 00:25:43,120 Speaker 1: I bring it up now. To me, there's a statute 473 00:25:43,119 --> 00:25:45,960 Speaker 1: of limitations. It's it's it's a little bit like you're 474 00:25:46,119 --> 00:25:50,840 Speaker 1: saving it and if in case you need something later, right, yeah, 475 00:25:50,880 --> 00:25:54,000 Speaker 1: And and so it's like Monica Lewinsky with the blue dress. 476 00:25:54,840 --> 00:25:58,800 Speaker 1: I mean that was a shorter that was like understood, understood. 477 00:25:58,800 --> 00:26:01,679 Speaker 1: But you talk to most women and they're like, oh, 478 00:26:01,720 --> 00:26:05,320 Speaker 1: she saved the dress with the stain on it, Like 479 00:26:05,920 --> 00:26:09,840 Speaker 1: that's a super weird thing to do. That's always been 480 00:26:09,840 --> 00:26:13,600 Speaker 1: to me the strangest thing about the entire Monica Lewinsky story, 481 00:26:13,840 --> 00:26:18,680 Speaker 1: because she was saving that for a reason, maybe because 482 00:26:18,720 --> 00:26:22,480 Speaker 1: she wanted to be able to like use it against 483 00:26:22,520 --> 00:26:25,000 Speaker 1: Bill Clinton in the future to have proof of it. 484 00:26:25,400 --> 00:26:27,480 Speaker 1: I mean, all of that, but the fact that you 485 00:26:27,480 --> 00:26:31,760 Speaker 1: would save an email sixteen years old and then go 486 00:26:31,920 --> 00:26:35,280 Speaker 1: public in the New York time, and this whole thing. 487 00:26:35,320 --> 00:26:36,760 Speaker 1: She doesn't want him to get fired. I mean, I 488 00:26:36,800 --> 00:26:40,680 Speaker 1: can understand she's gonna say that so she doesn't seem vindictive. 489 00:26:40,720 --> 00:26:43,600 Speaker 1: Fifteen years later and look, it was, you know, shouldn't 490 00:26:43,600 --> 00:26:45,719 Speaker 1: have done it, bad thing to do. He did, He 491 00:26:45,800 --> 00:26:48,840 Speaker 1: did apologize. His apology could have been a little this 492 00:26:48,840 --> 00:26:51,560 Speaker 1: whole life. I'm also happy to see you, you know, like, also, 493 00:26:51,680 --> 00:26:54,160 Speaker 1: maybe don't write the apology in an email. Yeah, well, 494 00:26:54,359 --> 00:26:57,360 Speaker 1: I think people have become much more just in general, 495 00:26:57,760 --> 00:27:01,120 Speaker 1: much more cognizant of everything they say end electronically. Now. 496 00:27:01,480 --> 00:27:03,439 Speaker 1: I feel like in the early two thousands, it was 497 00:27:03,480 --> 00:27:06,240 Speaker 1: you know, you send an email, it goes through the interwebs, 498 00:27:06,280 --> 00:27:08,399 Speaker 1: and you know, maybe two thousand and five, maybe he 499 00:27:08,480 --> 00:27:10,320 Speaker 1: wasn't thinking that she was going to save it, but 500 00:27:10,840 --> 00:27:13,720 Speaker 1: to send an email admitting that you did it, because 501 00:27:13,760 --> 00:27:17,000 Speaker 1: otherwise it's just that he said she said two years ago, 502 00:27:17,040 --> 00:27:18,800 Speaker 1: I didn't do this. This is confirmed because, by the way, 503 00:27:18,840 --> 00:27:20,800 Speaker 1: if someone says they have an email from you that 504 00:27:20,840 --> 00:27:22,560 Speaker 1: they didn't the easiest thing in the world that be like, 505 00:27:22,560 --> 00:27:25,200 Speaker 1: that's a fake email. So clearly, well this is this 506 00:27:25,280 --> 00:27:27,400 Speaker 1: is all. I don't think he's commented on this yet, 507 00:27:27,440 --> 00:27:29,679 Speaker 1: has he? No, the facts are not in dispute. You know, 508 00:27:29,760 --> 00:27:31,439 Speaker 1: it's it's gonna bean, it's gonna see how how this 509 00:27:31,560 --> 00:27:34,400 Speaker 1: is handled. I mean, I have a sense that first 510 00:27:34,480 --> 00:27:36,640 Speaker 1: we have to remember, he already had to go out there, 511 00:27:37,119 --> 00:27:39,040 Speaker 1: Chris Cuomo, you already had to go out there and 512 00:27:39,080 --> 00:27:43,160 Speaker 1: do the whole apology over coordinating with his brother while 513 00:27:43,200 --> 00:27:46,919 Speaker 1: a politician while interviewing his brother as a host on 514 00:27:47,000 --> 00:27:49,680 Speaker 1: CNN for the help with him on the PR side. 515 00:27:49,720 --> 00:27:51,640 Speaker 1: And I will say I would do anything for my brother, 516 00:27:51,720 --> 00:27:53,680 Speaker 1: So I actually didn't blame him for that at all. 517 00:27:53,800 --> 00:27:55,960 Speaker 1: But I mean it just goes to show you CNN 518 00:27:56,000 --> 00:28:00,080 Speaker 1: as a joke. But this issue, you know, CNN is 519 00:28:00,160 --> 00:28:03,000 Speaker 1: essentially it's a kingdom ruled by Jeff Zucker. Whatever he 520 00:28:03,080 --> 00:28:05,360 Speaker 1: decides is what will happen there. That's the way it goes. 521 00:28:05,720 --> 00:28:07,760 Speaker 1: CNN banned me for saying that I believe in the 522 00:28:07,760 --> 00:28:10,760 Speaker 1: First Amendment in Boobs. They wouldn't allow me to appear 523 00:28:10,840 --> 00:28:12,919 Speaker 1: on their network because they said it was distrest a 524 00:28:12,960 --> 00:28:15,400 Speaker 1: lifetime ban from CNN. That's like, that's like a friend 525 00:28:15,440 --> 00:28:17,400 Speaker 1: of mine who had a lifetime ban from going back 526 00:28:17,440 --> 00:28:19,639 Speaker 1: to Iran after he wrote about it like that, Like 527 00:28:19,720 --> 00:28:21,880 Speaker 1: that's amazing. But yeah, but so, I mean, if your 528 00:28:21,920 --> 00:28:24,080 Speaker 1: standard is a guy can't come on through your network 529 00:28:24,080 --> 00:28:27,680 Speaker 1: and give his opinion in kind of a lighthearted, jocular way, 530 00:28:28,320 --> 00:28:31,439 Speaker 1: then I don't know how. Look, I let me say this. 531 00:28:31,600 --> 00:28:34,840 Speaker 1: I am fundamentally opposed to cancel culture. I hate the 532 00:28:34,920 --> 00:28:38,280 Speaker 1: idea that you can't have done something sixteen years ago 533 00:28:38,520 --> 00:28:41,360 Speaker 1: that somebody can save it and decide to deploy it 534 00:28:41,440 --> 00:28:44,600 Speaker 1: against you nearly a generation later and say you don't 535 00:28:44,640 --> 00:28:47,920 Speaker 1: deserve it, by the way, pretending that it's not being deployed. Yeah, 536 00:28:48,160 --> 00:28:50,000 Speaker 1: let's actually unpack this part of it a little bit. 537 00:28:50,160 --> 00:28:54,320 Speaker 1: Wants him to use this platform for change. Come on, like, 538 00:28:54,440 --> 00:28:56,600 Speaker 1: what does that even mean? I agree? I mean that 539 00:28:56,880 --> 00:28:59,280 Speaker 1: to me seems a little a little self indulgent here. 540 00:28:59,320 --> 00:29:01,160 Speaker 1: It's like if you wanted, if you wanted there to 541 00:29:01,200 --> 00:29:05,120 Speaker 1: be consequences, you had a long time to bring this 542 00:29:05,200 --> 00:29:07,880 Speaker 1: up and deal with it, and you know that. I 543 00:29:08,200 --> 00:29:09,840 Speaker 1: agree with you. I mean, at what point do we 544 00:29:10,000 --> 00:29:12,680 Speaker 1: go to the what point are willing to say there 545 00:29:12,760 --> 00:29:16,200 Speaker 1: has to be even if the other side will not 546 00:29:16,280 --> 00:29:18,440 Speaker 1: forgive anything on our side. And I know that happens whatever, 547 00:29:18,520 --> 00:29:20,600 Speaker 1: but at some point we have to start saying to everybody, 548 00:29:20,880 --> 00:29:23,400 Speaker 1: if you're going to find something that was texted or written, 549 00:29:23,400 --> 00:29:25,920 Speaker 1: you know, twenty years ago by someone and say that 550 00:29:25,960 --> 00:29:29,200 Speaker 1: now they should get fired, it's it better be really bad. 551 00:29:29,480 --> 00:29:32,719 Speaker 1: I'm wondering what women think one eight hundred two eight 552 00:29:32,800 --> 00:29:36,440 Speaker 1: two two eight eight two women only on this Chris 553 00:29:36,520 --> 00:29:39,400 Speaker 1: Cuomo mess. But in the meantime, if we've learned anything 554 00:29:39,440 --> 00:29:42,840 Speaker 1: since twenty twenty, there's nothing quite as important as a 555 00:29:42,840 --> 00:29:47,000 Speaker 1: powerful immune system. Twenty years ago, doctor Dennis Black invented 556 00:29:47,040 --> 00:29:50,760 Speaker 1: Texas super Food, and he is doing a fabulous job. 557 00:29:50,840 --> 00:29:54,840 Speaker 1: Bringing fifty five vine ripe and fruits, vegetables, probiotics, digestive enzymes. 558 00:29:55,200 --> 00:29:57,959 Speaker 1: You can build your body's defense from the inside out. 559 00:29:57,960 --> 00:30:01,200 Speaker 1: We've learned that your immune systems is to detect, deflect, 560 00:30:01,240 --> 00:30:04,600 Speaker 1: and destroy bacteria you come in contact with, and Texas 561 00:30:04,640 --> 00:30:08,400 Speaker 1: Superfood boost your immune system better than anything on the market. 562 00:30:08,440 --> 00:30:11,120 Speaker 1: How do people get it? Buck? If you can't, won't, 563 00:30:11,240 --> 00:30:13,479 Speaker 1: or don't eat all your fruits and veggies every day. 564 00:30:13,520 --> 00:30:15,760 Speaker 1: This is how you get Texas Superfood because it was 565 00:30:15,880 --> 00:30:18,280 Speaker 1: made for you. All you do is go to Texas 566 00:30:18,320 --> 00:30:21,640 Speaker 1: Superfood dot com slash Buck or call eight five five 567 00:30:21,840 --> 00:30:26,040 Speaker 1: Texas fifty five. That's Texas Superfood dot Com slash Buck 568 00:30:26,200 --> 00:30:30,520 Speaker 1: or call eight five five Texas fifty five. I love 569 00:30:30,600 --> 00:30:33,320 Speaker 1: this Fox. I'm sorry. I could listen this all day, 570 00:30:33,800 --> 00:30:38,360 Speaker 1: all day because it is so informative and the instructive 571 00:30:38,760 --> 00:30:42,920 Speaker 1: words forever exed into the heart of America. Clay Travis 572 00:30:42,920 --> 00:30:47,200 Speaker 1: and Buck Sexton inspired by Rush on the EIP network 573 00:30:55,320 --> 00:30:58,080 Speaker 1: Clay and Buck Show, here fly and by today thanks 574 00:30:58,120 --> 00:31:00,680 Speaker 1: for being with us. It is open line, of course, 575 00:31:00,720 --> 00:31:03,000 Speaker 1: so that means if you want to call in eight 576 00:31:03,160 --> 00:31:06,200 Speaker 1: hundred two two two eight eight two, that's eight hundred 577 00:31:06,240 --> 00:31:08,560 Speaker 1: two a two two eight eight two. Also, if you 578 00:31:08,680 --> 00:31:14,640 Speaker 1: missed some of our earlier discussions about the booster turnaround 579 00:31:14,640 --> 00:31:17,520 Speaker 1: from the Bide administration where Biden's big lie about border patrol, 580 00:31:17,600 --> 00:31:20,560 Speaker 1: want to hear it. Clanbuck dot com is the website. 581 00:31:20,600 --> 00:31:23,320 Speaker 1: We got stories up there and updates. Plus you can 582 00:31:23,400 --> 00:31:25,600 Speaker 1: listen to the podcast on demand with the Clay Travis 583 00:31:25,640 --> 00:31:28,880 Speaker 1: and Buck Sexton Show whenever you like. Whenever you can. 584 00:31:30,000 --> 00:31:32,400 Speaker 1: We have a whole lot of folks calling, let's get 585 00:31:32,440 --> 00:31:36,760 Speaker 1: to it. Lillian in Wisconsin, a mom of three, what's up, Lillian. 586 00:31:38,840 --> 00:31:41,280 Speaker 1: I actually I'm a mom before, but I have three sons, 587 00:31:41,440 --> 00:31:45,560 Speaker 1: and um, yeah, this stuff bother me because, you know, 588 00:31:45,640 --> 00:31:47,600 Speaker 1: for someone to go back like they did with Justice 589 00:31:47,640 --> 00:31:50,360 Speaker 1: Kavanaugh and bring up stuff that you could have dealt 590 00:31:50,360 --> 00:31:53,400 Speaker 1: with at the time, it's just it's not right, you know, 591 00:31:53,440 --> 00:31:56,480 Speaker 1: and it concerns me from my own son. So yeah, 592 00:31:56,840 --> 00:31:59,600 Speaker 1: as a woman saving it for sixteen years and then 593 00:31:59,680 --> 00:32:03,760 Speaker 1: deploying it now, Like I see your argument, and my 594 00:32:03,800 --> 00:32:05,720 Speaker 1: wife and I have these conversations too, because when the 595 00:32:05,800 --> 00:32:07,560 Speaker 1: Kavanaugh hearings are going on, I would saying, Okay, you 596 00:32:07,560 --> 00:32:09,520 Speaker 1: can have your opinion as a woman, which is interesting, 597 00:32:10,000 --> 00:32:12,240 Speaker 1: but also you've got three sons. How would you want 598 00:32:12,240 --> 00:32:14,960 Speaker 1: them to be treated if they did something? But this 599 00:32:15,040 --> 00:32:16,440 Speaker 1: is also what you see, and thank you so much, 600 00:32:16,560 --> 00:32:18,440 Speaker 1: Lee Clay. This is what you see with with moms 601 00:32:18,920 --> 00:32:23,320 Speaker 1: who have college age sons who feel very, very differently 602 00:32:23,680 --> 00:32:26,160 Speaker 1: than what we are led to believe women generally think 603 00:32:26,200 --> 00:32:30,480 Speaker 1: in this country about these campus tribunals. You know, oh, 604 00:32:30,560 --> 00:32:33,760 Speaker 1: you know, both crossing people. Both people were drunk and 605 00:32:33,840 --> 00:32:36,160 Speaker 1: like the girl the next day is saying, oh, it's 606 00:32:36,160 --> 00:32:38,000 Speaker 1: such a great time last night, and then a month 607 00:32:38,120 --> 00:32:40,400 Speaker 1: later they're you know, these kind of cases that happens 608 00:32:40,480 --> 00:32:42,400 Speaker 1: all my college. Amorous, by the way, has been in 609 00:32:42,440 --> 00:32:46,120 Speaker 1: the headlines for a number of really egregious you know 610 00:32:46,200 --> 00:32:51,400 Speaker 1: title nine tribunal guy can't actually criminal investigations. We're talking 611 00:32:51,440 --> 00:32:54,680 Speaker 1: about on campus investigations, which are kangaroo courts. And a 612 00:32:54,720 --> 00:32:57,800 Speaker 1: lot of moms have gotten fed up about this because again, 613 00:32:58,280 --> 00:33:02,880 Speaker 1: everybody's been in college, acohol is involved. Uh, the day after, 614 00:33:02,960 --> 00:33:05,760 Speaker 1: everybody's fine, and then, like you said, a couple of days, 615 00:33:05,840 --> 00:33:08,920 Speaker 1: weeks months later, somebody in desides, hey, actually I was assaulted, 616 00:33:09,080 --> 00:33:10,840 Speaker 1: and then the kid gets kicked out of the man 617 00:33:11,160 --> 00:33:13,719 Speaker 1: the boy kicked out of school. And would you if 618 00:33:13,720 --> 00:33:15,840 Speaker 1: you're if you're a Jeff Zucker, which that's that's an 619 00:33:15,880 --> 00:33:18,320 Speaker 1: interesting Yeah, I think just to begin with, if you're 620 00:33:18,320 --> 00:33:20,960 Speaker 1: a Zucker over at CNN, do you take any action 621 00:33:21,000 --> 00:33:24,400 Speaker 1: against against Cuomo over this? I'll tell you, well, you 622 00:33:24,440 --> 00:33:28,840 Speaker 1: go first. The problem with taking action from my perspective, 623 00:33:28,840 --> 00:33:31,120 Speaker 1: if you're an executive is you set the precedent if 624 00:33:31,160 --> 00:33:34,200 Speaker 1: anybody that has ever been employed by you has done 625 00:33:34,240 --> 00:33:36,400 Speaker 1: anything over the last sixteen years. And let me say this, 626 00:33:37,000 --> 00:33:40,200 Speaker 1: they let they let what's his name come back after 627 00:33:40,240 --> 00:33:43,880 Speaker 1: he got caught in Yeah, Cuban. Cuban masturbated on a 628 00:33:43,960 --> 00:33:47,280 Speaker 1: zoom call with his New Yorker colleagues. It wasn't CNN, 629 00:33:47,480 --> 00:33:49,920 Speaker 1: and they let him back. So if I'm Chris Cuomo, 630 00:33:50,000 --> 00:33:52,640 Speaker 1: I'm like, wait, you let the guy who masturbated in 631 00:33:52,680 --> 00:33:55,080 Speaker 1: front of his female co workers continue to be a 632 00:33:55,160 --> 00:33:58,960 Speaker 1: legal expert at CNN, But you are firing me for 633 00:33:59,000 --> 00:34:02,080 Speaker 1: something that happens. He's definitely not gonna get fired. And 634 00:34:02,160 --> 00:34:03,840 Speaker 1: I'll just say it. Look, because I'm not a leftist, 635 00:34:03,920 --> 00:34:06,800 Speaker 1: I just don't want to go around destroying people's lives 636 00:34:06,800 --> 00:34:08,600 Speaker 1: all the time because I get some kind of leagues 637 00:34:08,600 --> 00:34:10,880 Speaker 1: I'm a miserable person, as unfortunately so many people on 638 00:34:10,880 --> 00:34:13,120 Speaker 1: the left actually are, which is a whole other conversation. 639 00:34:13,800 --> 00:34:15,320 Speaker 1: I don't I don't think that this guy she just 640 00:34:15,440 --> 00:34:17,520 Speaker 1: she says he shouldn't be fired. I say he shouldn't 641 00:34:17,560 --> 00:34:20,120 Speaker 1: be fired, and I you know, let' let's get real here, folks. 642 00:34:20,160 --> 00:34:22,480 Speaker 1: You know, but it does go to a mentality here 643 00:34:22,600 --> 00:34:25,440 Speaker 1: and there. You know, there's some interesting conversational pieces of this, 644 00:34:26,000 --> 00:34:28,279 Speaker 1: but you know, I think it makes her husband look 645 00:34:28,320 --> 00:34:31,799 Speaker 1: like a total whoos. That's the person who I think 646 00:34:31,840 --> 00:34:35,359 Speaker 1: emerges here looking the world like your your wife right 647 00:34:35,440 --> 00:34:38,240 Speaker 1: in front of you, a guy walked up and grabbed 648 00:34:38,280 --> 00:34:41,040 Speaker 1: her ass and you were like, oh, we better leave 649 00:34:41,080 --> 00:34:44,680 Speaker 1: this party now, Like that's your reaction. Yeah, not not 650 00:34:44,960 --> 00:34:48,000 Speaker 1: not good, not helping him out, that's for sure. Natalie 651 00:34:48,000 --> 00:34:50,800 Speaker 1: in Scottsdale, Arizona's got some thoughts on this one. Hey, Natalie, 652 00:34:53,040 --> 00:34:55,799 Speaker 1: you know, I just I can't stag Chris Cuomo. I'll 653 00:34:55,880 --> 00:34:58,200 Speaker 1: just say it that way. But when something happens and 654 00:34:58,239 --> 00:35:00,200 Speaker 1: then you bring up fifteen twenty years down the out, 655 00:35:00,800 --> 00:35:03,680 Speaker 1: if it affected you that badly, why are you waiting 656 00:35:03,760 --> 00:35:06,440 Speaker 1: that long? That's ridiculous. And it's so it is as 657 00:35:06,480 --> 00:35:09,560 Speaker 1: a mother, I have three sons. As a mother, it 658 00:35:09,719 --> 00:35:12,600 Speaker 1: is very concerning because when you're young, you're a teenager, Yeah, 659 00:35:12,640 --> 00:35:15,840 Speaker 1: you might say or do something stupid, especially when drinkings 660 00:35:15,840 --> 00:35:19,880 Speaker 1: involved all that kind of stuff. But something that fifteen 661 00:35:19,920 --> 00:35:22,560 Speaker 1: twenty years down the road, it clearly did not affect 662 00:35:22,600 --> 00:35:26,600 Speaker 1: you that deeply. That's ridiculous. And I'll tell you if 663 00:35:26,600 --> 00:35:30,319 Speaker 1: I was in that woman's shoes and quick Cuomo had 664 00:35:30,520 --> 00:35:33,759 Speaker 1: grabbed me like that. He wouldn't have been eaten very long. 665 00:35:33,840 --> 00:35:37,040 Speaker 1: He would have been had a jaw wired shop for 666 00:35:37,080 --> 00:35:40,799 Speaker 1: six months. Whoa Natalie that was gone. A lot of 667 00:35:40,800 --> 00:35:43,920 Speaker 1: women that would have physically reacted. And I mean again, 668 00:35:44,080 --> 00:35:46,560 Speaker 1: we don't know what their relationship is. But the thing 669 00:35:46,600 --> 00:35:48,640 Speaker 1: that's the weirdest about this to me is saving it 670 00:35:48,680 --> 00:35:51,760 Speaker 1: for sixteen years and then deploying it on the editorial page. 671 00:35:52,600 --> 00:35:54,239 Speaker 1: You don't want there to be real, comman, this is 672 00:35:54,560 --> 00:35:58,880 Speaker 1: it's at a minimum. There's there's reputational there's reputational email 673 00:35:59,000 --> 00:36:01,560 Speaker 1: like you were playing to be able to deploy this 674 00:36:01,600 --> 00:36:03,480 Speaker 1: at some time in like black man, give me a 675 00:36:03,520 --> 00:36:05,520 Speaker 1: break with the sanctimony here, if you should use his 676 00:36:05,640 --> 00:36:09,279 Speaker 1: platform for change. Yeah, I'm sure everyone's gonna turn to Chris. 677 00:36:09,760 --> 00:36:12,279 Speaker 1: Everyone's gonna turn to bro Cuomo when he's not like 678 00:36:12,400 --> 00:36:16,919 Speaker 1: taking you know met Yeah, he's not, you know, when 679 00:36:16,920 --> 00:36:19,480 Speaker 1: he's not getting his macros in before he goes out 680 00:36:19,520 --> 00:36:21,799 Speaker 1: there and throw the kettlebells around or whatever. Which, by 681 00:36:21,800 --> 00:36:23,480 Speaker 1: the way, that's all great and I should do more 682 00:36:23,520 --> 00:36:25,160 Speaker 1: of it. But this guy puts a lot of videos 683 00:36:25,200 --> 00:36:26,759 Speaker 1: of himself doing these things out there. I don't know 684 00:36:26,760 --> 00:36:28,480 Speaker 1: if you're aware of this. I don't think he's the 685 00:36:28,520 --> 00:36:33,160 Speaker 1: guy to go to for necessarily the hr woke compliance 686 00:36:33,680 --> 00:36:36,520 Speaker 1: actions in the workplace. I wish I was super ripped, 687 00:36:36,560 --> 00:36:38,120 Speaker 1: but I think it would be weird if I were 688 00:36:38,160 --> 00:36:40,759 Speaker 1: super ripped, like out of three or four, Like what 689 00:36:40,840 --> 00:36:43,000 Speaker 1: do you want to ripped? When I was in a rock. 690 00:36:43,040 --> 00:36:45,080 Speaker 1: I'll never forget this. There's a Navy seal. This guy 691 00:36:45,120 --> 00:36:46,560 Speaker 1: have been Navy knows, one of the one of older 692 00:36:46,640 --> 00:36:48,759 Speaker 1: Navy seals. He told me once. He's just like he's like, look, 693 00:36:49,239 --> 00:36:50,879 Speaker 1: if you ever forty, you ever six pack, I don't 694 00:36:50,880 --> 00:36:53,640 Speaker 1: know if I trust you. It's a great launch, which 695 00:36:53,680 --> 00:36:55,399 Speaker 1: is kind of it's kind of like, that's interesting, right 696 00:36:55,440 --> 00:36:56,840 Speaker 1: He's like, Yeah, I don't know if I trust you. 697 00:36:57,120 --> 00:36:59,680 Speaker 1: Who say he was kidding? Now, we're gonna get all 698 00:36:59,680 --> 00:37:01,480 Speaker 1: the six steear old to listen to the show who 699 00:37:01,520 --> 00:37:04,520 Speaker 1: have eight packs for aps they blame to have eight packs. 700 00:37:04,560 --> 00:37:06,479 Speaker 1: If there's any sixty five year olds and eight packs, 701 00:37:06,520 --> 00:37:08,719 Speaker 1: good for you. We got Alex Barretts and joining us 702 00:37:08,719 --> 00:37:11,120 Speaker 1: here in a few minutes his book Pandemia coming out. 703 00:37:11,160 --> 00:37:13,040 Speaker 1: What does the data tell us the future of this 704 00:37:13,080 --> 00:37:18,360 Speaker 1: country looks like? With COVID that's coming up. You're listening 705 00:37:18,400 --> 00:37:22,600 Speaker 1: to Clay Travis and Buck Sexton fund the EiV Network