1 00:00:00,080 --> 00:00:03,280 Speaker 1: Welcome to today's edition of The Clay Travis and Buck 2 00:00:03,360 --> 00:00:07,600 Speaker 1: Sexton Show podcast. Welcome to our two of The Clay 3 00:00:07,640 --> 00:00:10,200 Speaker 1: Travis and Buck Sexton Show. This is Buck here with 4 00:00:10,280 --> 00:00:12,840 Speaker 1: my man Claire. I'm gonna be joining him in Nashville 5 00:00:13,200 --> 00:00:15,280 Speaker 1: next week, so we're gonna have some fun in person 6 00:00:15,360 --> 00:00:18,360 Speaker 1: together there. We are gonna be covering a whole lot 7 00:00:18,400 --> 00:00:20,599 Speaker 1: the rest of the show, including I just saw on 8 00:00:20,640 --> 00:00:24,320 Speaker 1: Fox a Defense official two Fox that Kabble could fall 9 00:00:24,360 --> 00:00:28,240 Speaker 1: as soon as tomorrow, which seems unbelievable. But people are 10 00:00:28,240 --> 00:00:32,320 Speaker 1: saying some pretty Outlandis stuff right now. I couldn't believe 11 00:00:32,320 --> 00:00:34,479 Speaker 1: I even saw that on the Chiron on the screen. 12 00:00:34,960 --> 00:00:37,000 Speaker 1: But we'll tell you about some leaked audio about the 13 00:00:37,000 --> 00:00:39,960 Speaker 1: border as well. But first we have our friend Alex 14 00:00:40,440 --> 00:00:43,120 Speaker 1: Baronson with us. Now you all know him as the 15 00:00:43,159 --> 00:00:47,000 Speaker 1: author of Unreported Truths about COVID nineteen, a series you 16 00:00:47,040 --> 00:00:50,160 Speaker 1: can get online. Also go to his sub stack. Please 17 00:00:50,200 --> 00:00:52,120 Speaker 1: subscribe because if he gets kicked off on Twitter, you're 18 00:00:52,120 --> 00:00:53,840 Speaker 1: not going to know how to find his stuff. Alex, 19 00:00:53,960 --> 00:00:56,720 Speaker 1: great to have you back, Thank you for Yeah, well, 20 00:00:56,760 --> 00:00:58,640 Speaker 1: you know the last week I was on Unfortunately, I 21 00:00:58,760 --> 00:01:01,160 Speaker 1: you know, my Twitter, unlock my account, and I've managed 22 00:01:01,200 --> 00:01:04,160 Speaker 1: to stay afloat this week. And you know, I'd like 23 00:01:04,200 --> 00:01:06,160 Speaker 1: to say I haven't censored myself at all, but that 24 00:01:06,319 --> 00:01:09,040 Speaker 1: is not entirely true. And I'm still exploring what I'm 25 00:01:09,080 --> 00:01:11,640 Speaker 1: gonna do. But yes, please get on the sub steck. 26 00:01:11,959 --> 00:01:13,720 Speaker 1: You know, most a lot of people still haven't heard 27 00:01:13,720 --> 00:01:15,920 Speaker 1: of what that is. But it is a newsletter platform 28 00:01:16,280 --> 00:01:19,120 Speaker 1: and it is uncensored, at least for now, and it's 29 00:01:19,160 --> 00:01:21,800 Speaker 1: really good. My substec is just my name and just 30 00:01:21,840 --> 00:01:24,120 Speaker 1: put a called unreported truth. But if you put my 31 00:01:24,200 --> 00:01:27,040 Speaker 1: name in alex perience and you can find it. So 32 00:01:26,120 --> 00:01:30,720 Speaker 1: I I apologize for, you know, promoting it so aggressively. 33 00:01:30,800 --> 00:01:32,720 Speaker 1: But I do worry that Twitter is gonna you know, 34 00:01:32,760 --> 00:01:34,960 Speaker 1: I only have one strike left long, so tell me, 35 00:01:35,200 --> 00:01:37,720 Speaker 1: tell us all right, now, what's going on? Man? We 36 00:01:37,840 --> 00:01:41,319 Speaker 1: have all this pressure on Florida and Texas in particular. 37 00:01:41,360 --> 00:01:45,680 Speaker 1: People are saying record cases hospitals or hospitals overwhelmed, ventilators 38 00:01:45,720 --> 00:01:49,080 Speaker 1: being sent into santis, all this stuff. How are we 39 00:01:49,200 --> 00:01:53,360 Speaker 1: what's true, what's not? What's happening with the vaccines. Okay, 40 00:01:53,400 --> 00:01:56,600 Speaker 1: so there's a whole bunch of stuff happening. Hey, Florien 41 00:01:56,640 --> 00:01:58,760 Speaker 1: Texas have a lot of cases right now. They had 42 00:01:58,800 --> 00:02:01,400 Speaker 1: a lot of cases lan year at this time. This 43 00:02:01,480 --> 00:02:04,280 Speaker 1: is this virus has tended to move seasonally. That's been 44 00:02:04,920 --> 00:02:09,880 Speaker 1: very strong seasonal and geographic patterns. And all the people 45 00:02:09,880 --> 00:02:12,360 Speaker 1: who are you know telling you vaccines are saving the 46 00:02:12,400 --> 00:02:15,840 Speaker 1: Northeast and you know in the Upper Midwest give it 47 00:02:15,880 --> 00:02:19,200 Speaker 1: a month. Okay, it's gonna migrate. It's gonna just like 48 00:02:19,760 --> 00:02:21,960 Speaker 1: you know. I think I said this to you last week. 49 00:02:22,040 --> 00:02:23,919 Speaker 1: I don't love making us off air, but I don't 50 00:02:23,919 --> 00:02:26,880 Speaker 1: love making categorical poll predictions. But I'm going to make 51 00:02:26,880 --> 00:02:31,000 Speaker 1: this one. Okay, at this time in October, the Upper 52 00:02:31,000 --> 00:02:33,960 Speaker 1: Midwest will have a surge of cases. It's absolutely going 53 00:02:34,000 --> 00:02:36,160 Speaker 1: to happen. It happened last year. The vaccines are not 54 00:02:36,200 --> 00:02:38,960 Speaker 1: going to prevent it. They've they've prevented nothing in Israel 55 00:02:39,360 --> 00:02:41,799 Speaker 1: and they've prevented nothing, are very little in the UK, 56 00:02:41,960 --> 00:02:44,000 Speaker 1: and they're going to prevent nothing in the Upper Midwest. 57 00:02:44,480 --> 00:02:46,320 Speaker 1: All right, I want to ask you, Alex, thanks for 58 00:02:46,320 --> 00:02:49,640 Speaker 1: coming on with us about Israel. I saw you just 59 00:02:49,760 --> 00:02:52,160 Speaker 1: tweet out, and I may mess these numbers up a 60 00:02:52,160 --> 00:02:54,160 Speaker 1: little bit because I jotted them down as I was 61 00:02:54,200 --> 00:02:58,280 Speaker 1: doing the radio show, but four hundred and fifty one 62 00:02:58,480 --> 00:03:04,600 Speaker 1: seriously ill with COVID hospitalizations going on right now in Israel. 63 00:03:05,120 --> 00:03:08,280 Speaker 1: Two hundred and sixty six of those four hundred and 64 00:03:08,320 --> 00:03:13,000 Speaker 1: fifty one people have been fully vaccinated. That means roughly 65 00:03:13,160 --> 00:03:16,880 Speaker 1: sixty percent of the people that are hospitalized right now 66 00:03:17,080 --> 00:03:21,880 Speaker 1: I serious COVID issues and Israel are fully vaccinated. And 67 00:03:21,919 --> 00:03:25,120 Speaker 1: by the way, last year, before the vaccines even existed, 68 00:03:25,440 --> 00:03:30,359 Speaker 1: there were fewer people hospitalized in Israel. What's happened, so 69 00:03:30,600 --> 00:03:32,160 Speaker 1: just the correct one thing. There were not fewer, there 70 00:03:32,160 --> 00:03:36,600 Speaker 1: were slightly more. Okay, trends continue, within a few more days, 71 00:03:36,600 --> 00:03:39,640 Speaker 1: there will be more vaccinated people hospitalized in Israel in 72 00:03:39,640 --> 00:03:43,920 Speaker 1: twenty twenty one in August than there were total people 73 00:03:44,120 --> 00:03:47,600 Speaker 1: hospitalized in Israel in August twenty twenty, assuming trends continue, 74 00:03:47,600 --> 00:03:50,200 Speaker 1: and I do think they will continue. Certainly the Israelis 75 00:03:50,240 --> 00:03:53,800 Speaker 1: are very very concerned that they'll continue, and they're talking 76 00:03:53,840 --> 00:03:57,200 Speaker 1: about a variety of lockdown and mask measures that they 77 00:03:57,320 --> 00:04:00,520 Speaker 1: you know, that they'd eliminated because because COVID supposed to 78 00:04:00,560 --> 00:04:03,680 Speaker 1: go away once you've got really high vaccination rates. What 79 00:04:03,920 --> 00:04:06,680 Speaker 1: is going on is that the vaccines are failing Okay, 80 00:04:06,720 --> 00:04:08,760 Speaker 1: I'm not allowed to say it that way openly on 81 00:04:08,760 --> 00:04:10,960 Speaker 1: Twitter anymore, but I can say it to your audience. 82 00:04:11,000 --> 00:04:12,840 Speaker 1: I can say it to you. The vaccines are failing. 83 00:04:13,000 --> 00:04:16,440 Speaker 1: There's two possible reasons that they're failing. One is time 84 00:04:16,760 --> 00:04:20,320 Speaker 1: that you get this burst of anybody's after the second dose, 85 00:04:20,360 --> 00:04:22,479 Speaker 1: when you're you know, when you're quote unquote fully vaccinated, 86 00:04:22,600 --> 00:04:25,920 Speaker 1: Those anybodies don't last. They don't last that long if 87 00:04:25,960 --> 00:04:28,919 Speaker 1: you get covid naturally either. But what happens if you 88 00:04:28,920 --> 00:04:31,680 Speaker 1: get covid naturally is you have a broader immune response. 89 00:04:32,000 --> 00:04:34,719 Speaker 1: Your T cells and your B cells, which are which 90 00:04:34,760 --> 00:04:38,560 Speaker 1: are immune system cells that are responsible for long term immunity. 91 00:04:38,920 --> 00:04:41,719 Speaker 1: They're the reason why you know you don't get measles 92 00:04:41,839 --> 00:04:46,240 Speaker 1: decades after your measles vaccination. It's not because you have 93 00:04:46,279 --> 00:04:48,880 Speaker 1: anybodies to measles circulating. It's because your T and B 94 00:04:49,000 --> 00:04:52,760 Speaker 1: cells know how to recognize measles. The vaccines do not 95 00:04:52,960 --> 00:04:55,680 Speaker 1: seem to produce a good response, at least in one 96 00:04:55,880 --> 00:04:59,160 Speaker 1: very important form of ke sells. So when you're anybodies 97 00:04:59,200 --> 00:05:02,279 Speaker 1: go away, protection seems to go away. So that's one 98 00:05:02,320 --> 00:05:04,719 Speaker 1: that's one potential problem. The second potential problem is that 99 00:05:04,960 --> 00:05:09,719 Speaker 1: is that the is that the the virus is mutating, right, 100 00:05:09,760 --> 00:05:12,480 Speaker 1: so there's there's a delta variant. The delta variant is 101 00:05:12,520 --> 00:05:16,960 Speaker 1: a real thing, and unfortunately, it appears that natural immunity 102 00:05:17,400 --> 00:05:21,760 Speaker 1: provides broader protection against mutated variants than vaccine immunity. Now, 103 00:05:21,800 --> 00:05:24,679 Speaker 1: the worst case scenario, which I have barely talked about 104 00:05:25,000 --> 00:05:27,479 Speaker 1: because there's not strong evidence where right now and I 105 00:05:27,520 --> 00:05:30,440 Speaker 1: don't want to free people out, but they're a paper 106 00:05:30,520 --> 00:05:33,360 Speaker 1: came out on Monday in a British journal, and it's 107 00:05:33,360 --> 00:05:36,480 Speaker 1: a real British journal suggesting that this is at least 108 00:05:36,480 --> 00:05:40,479 Speaker 1: a theoretical possibility is something called antibody dependent enhancement. What 109 00:05:40,600 --> 00:05:44,760 Speaker 1: that means is that that the antibodies that you produce 110 00:05:45,000 --> 00:05:49,320 Speaker 1: after being vaccinated, if the variant mutates in a specific 111 00:05:49,440 --> 00:05:52,719 Speaker 1: if the virus mutates in a specific way, might wind 112 00:05:52,800 --> 00:05:56,880 Speaker 1: up actually not locking the variant from entering your cell, 113 00:05:57,240 --> 00:06:00,440 Speaker 1: but helping the variant to enter yourselves. That is a 114 00:06:00,560 --> 00:06:02,919 Speaker 1: very dangerous thing if it happens. Now, I want to 115 00:06:02,920 --> 00:06:06,040 Speaker 1: be clear, this is not we don't know this is happening. 116 00:06:06,720 --> 00:06:09,080 Speaker 1: Everybody who's looked at the data for you know, for months, 117 00:06:09,080 --> 00:06:11,000 Speaker 1: I said this is not a high risk. But this 118 00:06:11,160 --> 00:06:14,240 Speaker 1: new paper and on the ground data in Israel, I 119 00:06:14,279 --> 00:06:16,960 Speaker 1: think are concerning enough that people should at least know 120 00:06:17,080 --> 00:06:20,480 Speaker 1: about this. Alex Well, I got a good friend who 121 00:06:20,480 --> 00:06:22,760 Speaker 1: asked me this question, and I think it's a fantastic one. 122 00:06:23,480 --> 00:06:27,400 Speaker 1: Why are Israel in England not looking the exact same 123 00:06:27,520 --> 00:06:30,680 Speaker 1: right now? England has opened up? They also have a 124 00:06:30,760 --> 00:06:34,160 Speaker 1: high vaccination rate. Is it because they have more natural 125 00:06:34,240 --> 00:06:38,200 Speaker 1: immunity in England? Why would you sort of explain the 126 00:06:38,240 --> 00:06:41,479 Speaker 1: difference between the Israel Israeli story right now in the 127 00:06:41,560 --> 00:06:45,000 Speaker 1: English story? And is there any particular reason why you 128 00:06:45,040 --> 00:06:47,440 Speaker 1: think America is going to be more like England or 129 00:06:47,480 --> 00:06:51,039 Speaker 1: more like Israel. That is a great question. I fear 130 00:06:51,080 --> 00:06:54,560 Speaker 1: that the units will be more like Israel. Now there's 131 00:06:54,560 --> 00:06:55,920 Speaker 1: a couple. There's a couple of things. First of all, 132 00:06:55,960 --> 00:06:58,760 Speaker 1: the data out of Israel is the best. The data 133 00:06:58,760 --> 00:07:01,360 Speaker 1: out of England is a little bit confusing because they 134 00:07:01,360 --> 00:07:03,400 Speaker 1: have a bit of a testdemic going on and they 135 00:07:03,440 --> 00:07:06,159 Speaker 1: have had it over the summer, meaning they there's a 136 00:07:06,160 --> 00:07:09,080 Speaker 1: lot of cases that are asymptomatic, and they were doing 137 00:07:09,120 --> 00:07:12,840 Speaker 1: these these tests called lateral flow tests, which were very 138 00:07:12,920 --> 00:07:15,400 Speaker 1: cheap and self reported and there were reasons actually to 139 00:07:15,440 --> 00:07:17,280 Speaker 1: believe that. You know, for example, in eighteen year old 140 00:07:17,320 --> 00:07:18,840 Speaker 1: who didn't want to go to school would just self 141 00:07:18,880 --> 00:07:21,760 Speaker 1: report a positive tests in June, so some of that 142 00:07:21,840 --> 00:07:25,080 Speaker 1: was happening. Okay, So the Israeli data is probably the 143 00:07:25,120 --> 00:07:29,880 Speaker 1: best data. But more importantly than that, is Israel used 144 00:07:30,080 --> 00:07:32,280 Speaker 1: only an MR and a vaccine. They used only the 145 00:07:32,320 --> 00:07:35,840 Speaker 1: Fiser vaccine and they used it on the correct quote 146 00:07:35,880 --> 00:07:38,840 Speaker 1: uncle correct schedule, so you got your first dose and 147 00:07:38,880 --> 00:07:41,360 Speaker 1: then you get your second dose three weeks later. England 148 00:07:41,520 --> 00:07:47,120 Speaker 1: the UK used both the Fiser vaccine and an astrosenica vaccine, 149 00:07:47,280 --> 00:07:51,360 Speaker 1: which was supposed to be actually less potent, but maybe 150 00:07:51,800 --> 00:07:56,520 Speaker 1: maybe isn't less potent. We don't know, okay. And five, 151 00:07:56,600 --> 00:07:59,920 Speaker 1: and they used that Fiser vaccine on a weird dosing schedule, 152 00:08:00,120 --> 00:08:02,000 Speaker 1: so they were a little bit short on doses in 153 00:08:02,000 --> 00:08:03,960 Speaker 1: the spring, so they were giving people one dose and 154 00:08:04,000 --> 00:08:06,880 Speaker 1: then a second dose eight to twelve weeks later. And 155 00:08:06,960 --> 00:08:10,520 Speaker 1: so even though that wasn't quote unquote the correct regiment, 156 00:08:10,840 --> 00:08:12,600 Speaker 1: there's now a little bit of evidence that it might 157 00:08:12,640 --> 00:08:14,840 Speaker 1: actually work better, which is something else we did not 158 00:08:15,000 --> 00:08:17,840 Speaker 1: know because we have rushed this so much. Alex what 159 00:08:17,560 --> 00:08:20,360 Speaker 1: what do you expect is going to happen here in 160 00:08:20,720 --> 00:08:23,320 Speaker 1: I mean as the data rolls in in this country 161 00:08:23,360 --> 00:08:26,440 Speaker 1: over the next let's say, thirty to sixty days. I mean, 162 00:08:26,560 --> 00:08:28,800 Speaker 1: we're led to believe that all we have to do 163 00:08:28,880 --> 00:08:32,440 Speaker 1: is get those vaccination numbers up and everything will be better. 164 00:08:32,600 --> 00:08:35,160 Speaker 1: And anybody who's not going along with that, this is 165 00:08:35,160 --> 00:08:37,440 Speaker 1: what all the mandates are rooted in, is you know, 166 00:08:37,480 --> 00:08:40,760 Speaker 1: a troglodyte who's a horrible person, who's ruining America, and 167 00:08:40,880 --> 00:08:42,560 Speaker 1: you know the reason that people are still sick all 168 00:08:42,600 --> 00:08:46,000 Speaker 1: this stuff. But they're also talking about boosters already, Fauci 169 00:08:46,120 --> 00:08:49,240 Speaker 1: not like some you know, crazy bloggers somewhere. So what 170 00:08:49,280 --> 00:08:51,480 Speaker 1: do you think is going to happen? But it's not 171 00:08:51,559 --> 00:08:53,920 Speaker 1: just boosters. I mean, it's not just boosters for older 172 00:08:53,960 --> 00:08:58,440 Speaker 1: immune compromised people, Fauci said yesterday. Everyone. Yeah, so so listen, 173 00:08:58,480 --> 00:09:00,839 Speaker 1: I really like sort of got often the weeds there 174 00:09:00,880 --> 00:09:04,120 Speaker 1: about Israel and the UK. But but the long, the 175 00:09:04,240 --> 00:09:06,960 Speaker 1: one sentence answer is, I think the US is going 176 00:09:07,000 --> 00:09:09,120 Speaker 1: to be more like Israel. Okay, we only used mr 177 00:09:09,200 --> 00:09:12,240 Speaker 1: Anda vaccines and we use them on the correct schedule, Okay, 178 00:09:12,640 --> 00:09:16,559 Speaker 1: And I think anybody who doesn't believe that. What And 179 00:09:16,960 --> 00:09:19,439 Speaker 1: in Israel in June you could start to see this 180 00:09:19,559 --> 00:09:21,920 Speaker 1: late June, early July. I was worrying about how people 181 00:09:22,000 --> 00:09:24,000 Speaker 1: we are telling me I was an idiot. The cases 182 00:09:24,000 --> 00:09:25,640 Speaker 1: were still so low, there were no death. I had 183 00:09:25,679 --> 00:09:29,360 Speaker 1: no idea what I was talking about. That that that 184 00:09:29,559 --> 00:09:32,120 Speaker 1: is all out the window. Okay, it's all out the window. 185 00:09:32,200 --> 00:09:36,199 Speaker 1: Israel is headed for a bad month, Okay, at best 186 00:09:36,400 --> 00:09:39,840 Speaker 1: a bad month. And I don't understand anybody who thinks 187 00:09:39,880 --> 00:09:42,040 Speaker 1: that's not going to happen in the US. And let 188 00:09:42,120 --> 00:09:46,320 Speaker 1: me be totally clear, is really vaccination levels were basically 189 00:09:46,360 --> 00:09:48,160 Speaker 1: the highest in the world. They were among the highest 190 00:09:48,240 --> 00:09:50,920 Speaker 1: in the world, higher than the US. Okay, it's not 191 00:09:51,520 --> 00:09:54,280 Speaker 1: it's not so when the Biden administration says, Alex this 192 00:09:54,400 --> 00:09:57,360 Speaker 1: is important, you know nine, because I keep seeing these 193 00:09:57,440 --> 00:09:59,880 Speaker 1: these these lab coat you know, pundits going on TV 194 00:10:00,200 --> 00:10:03,520 Speaker 1: now saying ninety nine of the people in our hospital 195 00:10:04,240 --> 00:10:06,240 Speaker 1: they're they're all on vacs. Like we keep hearing this 196 00:10:06,280 --> 00:10:08,680 Speaker 1: all the time. It's a lie. It's a lie. It's 197 00:10:08,720 --> 00:10:11,960 Speaker 1: a lie. I'm gonna say it's straight out, it's a lie. 198 00:10:12,160 --> 00:10:15,400 Speaker 1: The data, again, we have a couple of states that 199 00:10:15,520 --> 00:10:18,319 Speaker 1: provide decent data. They show that, for example, in Oklahoma, 200 00:10:18,559 --> 00:10:21,720 Speaker 1: about a quarter of the people in Oklahoma who are 201 00:10:21,800 --> 00:10:26,040 Speaker 1: hospitalized in July were vaccinated. Okay, those numbers are going 202 00:10:26,160 --> 00:10:29,160 Speaker 1: to go up. There's no reason they wouldn't go up. 203 00:10:29,640 --> 00:10:32,640 Speaker 1: The human biology is the same in Israel as in 204 00:10:32,679 --> 00:10:34,920 Speaker 1: the United States. The vaccines are going to fail in 205 00:10:34,960 --> 00:10:37,520 Speaker 1: the United States, just like they're failing in Israel. Okay, 206 00:10:37,640 --> 00:10:39,680 Speaker 1: it's only a question how badly they're going to fail. 207 00:10:39,880 --> 00:10:41,520 Speaker 1: And when I came on with you guys last week, 208 00:10:42,200 --> 00:10:45,640 Speaker 1: it looked bad. This week, it looks worse. Can you 209 00:10:45,720 --> 00:10:48,079 Speaker 1: come back with us for one more segment here, Alex, 210 00:10:48,160 --> 00:10:51,920 Speaker 1: to answer a couple more questions. I told your producer guys, 211 00:10:51,960 --> 00:10:55,360 Speaker 1: we're gonna ask yes, of course I can't. All right, Well, 212 00:10:55,360 --> 00:10:57,120 Speaker 1: I just want to ask a couple more questions because 213 00:10:57,160 --> 00:10:59,480 Speaker 1: what you're telling us is something that I think is 214 00:10:59,520 --> 00:11:02,559 Speaker 1: significant as we kind of work our way through it, 215 00:11:03,080 --> 00:11:06,520 Speaker 1: which is that we are headed for a real mess 216 00:11:06,880 --> 00:11:10,079 Speaker 1: and that getting more people vaccinated is not going to 217 00:11:10,200 --> 00:11:12,360 Speaker 1: solve it, which is the exact opposite of what the 218 00:11:12,440 --> 00:11:14,920 Speaker 1: mainstream media is telling everybody right now. I mean, there's 219 00:11:14,960 --> 00:11:17,080 Speaker 1: just there's so much that doesn't add up right now, 220 00:11:17,160 --> 00:11:19,320 Speaker 1: So we are going to keep Alex through for another one. 221 00:11:19,720 --> 00:11:21,520 Speaker 1: Go if you appreciate what he's doing in your folks, 222 00:11:21,600 --> 00:11:24,040 Speaker 1: go subscribe to a sub stack. I'm a big believer 223 00:11:24,160 --> 00:11:28,760 Speaker 1: in actually supporting content creators, researchers, thought leaders directly these 224 00:11:28,840 --> 00:11:31,240 Speaker 1: days as much as you can, because God knows when 225 00:11:31,280 --> 00:11:33,240 Speaker 1: big tech is going to decide to crush them. All right, 226 00:11:33,240 --> 00:11:35,120 Speaker 1: we'll come back with that and Alex Barnson here in 227 00:11:35,240 --> 00:11:37,959 Speaker 1: just a moment on what's next with the vaccines, with COVID, 228 00:11:38,000 --> 00:11:40,280 Speaker 1: with all of it, and perfect time. I tell you, 229 00:11:40,280 --> 00:11:42,360 Speaker 1: you know, you really do want to keep your immune 230 00:11:42,400 --> 00:11:45,240 Speaker 1: system functioning as well as possible. That means getting exercise, 231 00:11:45,320 --> 00:11:48,199 Speaker 1: means getting sunlight, and yes, it means getting the right 232 00:11:48,360 --> 00:11:51,080 Speaker 1: mix of fruits and veggies in your diet. I mean 233 00:11:51,120 --> 00:11:54,040 Speaker 1: basic nutrition. You know that's good for you, right. That's 234 00:11:54,080 --> 00:11:57,559 Speaker 1: why Texas super Food works so well for so many people. 235 00:11:57,800 --> 00:12:00,719 Speaker 1: Texas super Food is fifty five vine ipen fruits and 236 00:12:00,840 --> 00:12:04,800 Speaker 1: vegetables plus probiotic and digestive enzymes meant to help your 237 00:12:04,840 --> 00:12:07,760 Speaker 1: bodies defenses from the inside out, help to boost your 238 00:12:08,080 --> 00:12:11,440 Speaker 1: immune systems capabilities naturally. You know how your grandmother told 239 00:12:11,440 --> 00:12:13,439 Speaker 1: you to eat fruits and vettis every day, but we're 240 00:12:13,480 --> 00:12:15,480 Speaker 1: all busy. We got these crazy schedules and with a 241 00:12:15,520 --> 00:12:17,199 Speaker 1: lot of fast food. I just had some today. I'm 242 00:12:17,200 --> 00:12:18,839 Speaker 1: not gonna lie. You know, we don't always get the 243 00:12:18,840 --> 00:12:21,240 Speaker 1: fruits and vettis we need. Well, if you can't, won't 244 00:12:21,320 --> 00:12:24,040 Speaker 1: or don't eat all your fruits and vegetables. Texas Superfood 245 00:12:24,160 --> 00:12:26,599 Speaker 1: was made for you. Start boosting your immune system for 246 00:12:26,760 --> 00:12:29,480 Speaker 1: under two dollars a day. Go to Texas Superfood dot 247 00:12:29,520 --> 00:12:32,600 Speaker 1: Com slash buck or call eight five five Texas fifty five. 248 00:12:32,920 --> 00:12:35,760 Speaker 1: That's Texas Superfood dot Com slash buck or call eight 249 00:12:35,920 --> 00:12:45,040 Speaker 1: five five Texas fifty five. Why can I get glay 250 00:12:45,080 --> 00:12:47,719 Speaker 1: Travis buck Sexton. We're talking with Alex Barrenson. Want to 251 00:12:47,760 --> 00:12:51,000 Speaker 1: dive right back into it. You're basically the grim Reaper here, Alex. 252 00:12:51,080 --> 00:12:52,920 Speaker 1: I want to ask one question to allow you to 253 00:12:52,960 --> 00:12:56,319 Speaker 1: say something positive. Did you enjoy the game the Field 254 00:12:56,360 --> 00:12:59,440 Speaker 1: of Dreams game in the Iowa cornfield yesterday on Fox? 255 00:13:00,240 --> 00:13:03,120 Speaker 1: It was fantastic, wasn't here? Yeah? All right? Just want 256 00:13:03,120 --> 00:13:04,280 Speaker 1: to make sure I wanted you to be able to 257 00:13:04,320 --> 00:13:06,439 Speaker 1: say something. Now I'm gonna take us back into the 258 00:13:07,000 --> 00:13:09,960 Speaker 1: world of Alex is making us all pretty scared about 259 00:13:09,960 --> 00:13:11,360 Speaker 1: what's going to happen. But we might as well know 260 00:13:11,480 --> 00:13:14,760 Speaker 1: the truth now, Um and Alex to that end, I mean, 261 00:13:14,800 --> 00:13:18,800 Speaker 1: they're where are we with hospitalization shortage right now? I 262 00:13:18,840 --> 00:13:21,959 Speaker 1: mean there's a report that I'm just seeing from some 263 00:13:22,240 --> 00:13:27,040 Speaker 1: guy's a blue check out of Tennessee. And here's so 264 00:13:27,200 --> 00:13:29,080 Speaker 1: he's in a you know, one of these journos. He says, 265 00:13:29,760 --> 00:13:32,200 Speaker 1: breaking from Tennessee. There are no beds in middle Tennessee 266 00:13:32,320 --> 00:13:35,240 Speaker 1: right now. Impossible to find his staffed ICU er or 267 00:13:35,360 --> 00:13:38,160 Speaker 1: medical surgery bed, according the chief medical officer for Sumner 268 00:13:38,240 --> 00:13:41,480 Speaker 1: Regional Medical Center. We've heard about this also in Austin, Texas. 269 00:13:41,520 --> 00:13:44,800 Speaker 1: We've heard about this in Florida. What's true? Are are 270 00:13:44,840 --> 00:13:47,439 Speaker 1: they overwhelmed? How can they be overwhelmed when there's like 271 00:13:47,559 --> 00:13:53,000 Speaker 1: a third the case right nationally? Well, again it is regional. Okay, 272 00:13:53,040 --> 00:13:56,240 Speaker 1: So this is what look we saw last summer. You know, Houston, 273 00:13:56,320 --> 00:13:58,960 Speaker 1: Texas can Houston's a giant metro area, right there's eight 274 00:13:59,000 --> 00:14:01,959 Speaker 1: million people in South Sexes. Um, you know it came 275 00:14:02,040 --> 00:14:05,800 Speaker 1: under pressure. Uh, you know parts of Florida came under 276 00:14:05,880 --> 00:14:09,199 Speaker 1: pressure last year. Pressure does not mean you know that 277 00:14:09,400 --> 00:14:11,240 Speaker 1: that you're gonna you know, if you get in a 278 00:14:11,280 --> 00:14:13,840 Speaker 1: car accent, there's gonna be no ICU back for you. Okay. 279 00:14:14,040 --> 00:14:20,240 Speaker 1: The the the hysteria, UM you know, overwhelms uh or 280 00:14:20,360 --> 00:14:23,240 Speaker 1: overruns what's really happening. It doesn't mean it's not doesn't 281 00:14:23,240 --> 00:14:25,760 Speaker 1: mean that like the hospitals aren't full, you know, it 282 00:14:25,840 --> 00:14:27,960 Speaker 1: doesn't mean that nurses and doctors and you know, medical 283 00:14:28,000 --> 00:14:31,000 Speaker 1: staff aren't working really hard. Um and you know, and 284 00:14:31,480 --> 00:14:33,120 Speaker 1: sometimes you're gonna want to try to bring in some 285 00:14:33,360 --> 00:14:35,720 Speaker 1: you know, some extra swing shifts and stuff that's not 286 00:14:35,840 --> 00:14:38,120 Speaker 1: the same thing as the medical you know, as as 287 00:14:38,200 --> 00:14:40,960 Speaker 1: hospital collapse. Okay. And and I will also say that 288 00:14:41,040 --> 00:14:43,120 Speaker 1: it is clear after eighteen months of this that these 289 00:14:43,160 --> 00:14:46,160 Speaker 1: stories are typically written just at the peak. Okay, So 290 00:14:46,440 --> 00:14:49,520 Speaker 1: so they have been a very reliable sign that cases 291 00:14:49,520 --> 00:14:52,680 Speaker 1: are going to start to decline. Um and and and 292 00:14:53,080 --> 00:14:55,280 Speaker 1: you know, I mean, look, if cases don't start, if 293 00:14:55,320 --> 00:14:59,120 Speaker 1: positive tests, you know, and and hospitalization rates don't start 294 00:14:59,160 --> 00:15:01,720 Speaker 1: to decline in flow in Texas pretty soon, I would 295 00:15:01,760 --> 00:15:04,920 Speaker 1: be surprised. I mean again, this epidemic has made fools 296 00:15:04,960 --> 00:15:06,760 Speaker 1: out of anybody who has made predictions for the last 297 00:15:06,800 --> 00:15:09,040 Speaker 1: eighteen months, but I would be surprised and I would 298 00:15:09,080 --> 00:15:11,240 Speaker 1: be worried about that. Here, let me let me give 299 00:15:11,280 --> 00:15:13,680 Speaker 1: you one data point. Okay, I was just so. So 300 00:15:13,800 --> 00:15:15,920 Speaker 1: if you look at you can look by states, see 301 00:15:15,960 --> 00:15:19,440 Speaker 1: which states have the highest vaccination rates. Okay, outside of 302 00:15:19,480 --> 00:15:21,960 Speaker 1: the Northeast, the three states of the highest vaccination rates 303 00:15:22,000 --> 00:15:25,200 Speaker 1: are Washington, New Mexico, and Oregon. Okay, I would urge 304 00:15:25,520 --> 00:15:28,840 Speaker 1: everyone listening to this to go type in Oregon COVID 305 00:15:29,720 --> 00:15:33,680 Speaker 1: to Google and see what has happened to to COVID 306 00:15:33,760 --> 00:15:36,680 Speaker 1: case rates there in the last two weeks. Okay, they 307 00:15:36,680 --> 00:15:41,240 Speaker 1: are off the charts. The vaccines. It doesn't matter whether 308 00:15:41,280 --> 00:15:44,240 Speaker 1: you're at fifty percent or sixty percent or seventy percent, 309 00:15:44,680 --> 00:15:47,200 Speaker 1: you are not going to make a meaningful difference because 310 00:15:47,240 --> 00:15:51,640 Speaker 1: these raillies and British got to seventy. So so New 311 00:15:51,720 --> 00:15:53,760 Speaker 1: York City's gonna get hit hard, for example, because like 312 00:15:53,840 --> 00:15:56,200 Speaker 1: here in New York, we think we're the vaccine superstars. 313 00:15:56,240 --> 00:15:58,920 Speaker 1: But you're telling me that New York may not get 314 00:15:59,040 --> 00:16:00,680 Speaker 1: his hard because New York has has a lot of 315 00:16:00,760 --> 00:16:05,000 Speaker 1: natural immunity. Oregon's getting crushed right now. Is that Washington 316 00:16:05,040 --> 00:16:07,320 Speaker 1: and Oregon State and normand California were the places that 317 00:16:07,480 --> 00:16:11,320 Speaker 1: somehow they've been the code miracle. They'd avoided getting hit 318 00:16:11,400 --> 00:16:13,280 Speaker 1: really as hard as anywhere else in the United States. 319 00:16:13,600 --> 00:16:16,480 Speaker 1: Guess what, it's all going to revert to the mean? Okay, 320 00:16:16,600 --> 00:16:20,200 Speaker 1: that's it's gonna happen. And um, you know again, I've 321 00:16:20,360 --> 00:16:23,000 Speaker 1: typically been wary of making predictions, but I think the 322 00:16:23,120 --> 00:16:26,000 Speaker 1: data out of Israel and the UK is so powerful 323 00:16:26,120 --> 00:16:28,480 Speaker 1: right now to not to, you know, not to make 324 00:16:28,520 --> 00:16:32,360 Speaker 1: predictions off it is a form of cowardice. Alex, what 325 00:16:32,440 --> 00:16:35,480 Speaker 1: about kids? You may have seen me go talk on 326 00:16:35,600 --> 00:16:40,040 Speaker 1: Tuesday about masks and kids. Are kids under a massively 327 00:16:40,200 --> 00:16:42,920 Speaker 1: increased risk from the delta variant based on the data 328 00:16:43,000 --> 00:16:47,440 Speaker 1: that you're seeing? No, No, that's another lie. Um are 329 00:16:47,480 --> 00:16:50,000 Speaker 1: they at risk of getting it more because it does 330 00:16:50,040 --> 00:16:52,680 Speaker 1: seem to be somewhat more contagious? Yes, are they at 331 00:16:52,800 --> 00:16:56,400 Speaker 1: risk of severe outcomes from it? No, there's no evidence 332 00:16:56,440 --> 00:16:58,640 Speaker 1: of that. And and really, you know, if you go 333 00:16:59,000 --> 00:17:01,640 Speaker 1: to the smart people on Twitter, they're pointing out right now, 334 00:17:01,720 --> 00:17:04,680 Speaker 1: the US is in this hysteria about schools, and nowhere 335 00:17:04,760 --> 00:17:08,240 Speaker 1: else in the world is having that. Even even countries 336 00:17:08,280 --> 00:17:12,320 Speaker 1: that are having bad surges are well aware that kids 337 00:17:12,359 --> 00:17:14,879 Speaker 1: are not at high risk or even medium risk or 338 00:17:14,960 --> 00:17:18,440 Speaker 1: even you know, low risk from getting really sick from COVID. 339 00:17:18,480 --> 00:17:21,320 Speaker 1: I mean, obviously it can always happen, but that's you know, 340 00:17:21,600 --> 00:17:23,280 Speaker 1: if I have one piece of good news for people, 341 00:17:23,840 --> 00:17:25,919 Speaker 1: Delta is not any more of a threat to your 342 00:17:26,000 --> 00:17:29,760 Speaker 1: kids than earlier, you know, than the original wild type variant, 343 00:17:29,840 --> 00:17:32,760 Speaker 1: and that was a very very very low risk for 344 00:17:32,880 --> 00:17:36,359 Speaker 1: healthy kids. Alex Man, we need to get you on weekly, 345 00:17:36,440 --> 00:17:40,680 Speaker 1: I think, to continue to. But yeah, I mean, I 346 00:17:40,880 --> 00:17:44,760 Speaker 1: really really appreciate, I really appreciate the time you're spending 347 00:17:44,760 --> 00:17:47,840 Speaker 1: with us. Man's everything that Alex said. When we come 348 00:17:47,880 --> 00:17:50,520 Speaker 1: back and continue to discuss all these stories and more. 349 00:17:50,560 --> 00:17:53,280 Speaker 1: It is Friday the thirteenth, after all, but we want 350 00:17:53,359 --> 00:17:56,199 Speaker 1: to let you know that right now. Relief Factor can 351 00:17:56,280 --> 00:17:58,920 Speaker 1: make an incredible difference in your life. And it's done 352 00:17:59,000 --> 00:18:02,640 Speaker 1: for my wife all ready. Relief Factor hundred percent drug 353 00:18:02,720 --> 00:18:05,760 Speaker 1: free product which addresses joint pain, knee, hip, backneck, and 354 00:18:05,960 --> 00:18:10,000 Speaker 1: shoulder pain. 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Go to relief Factor dot 364 00:18:36,320 --> 00:18:39,720 Speaker 1: com or call eight hundred four Relief to get the 365 00:18:39,840 --> 00:18:43,520 Speaker 1: nineteen ninety five three week quickstart developed for you relief 366 00:18:43,560 --> 00:18:46,720 Speaker 1: Factor dot Com. Eight hundred the number four Relief Relief Factor, 367 00:18:46,880 --> 00:18:54,800 Speaker 1: Feel the Different. Welcome back to the Clay Travis and 368 00:18:54,880 --> 00:18:57,680 Speaker 1: Buck Sexton Show. This is Buck, my man. Clay and 369 00:18:57,760 --> 00:18:59,520 Speaker 1: I are breaking it all down for you today. A 370 00:18:59,680 --> 00:19:03,080 Speaker 1: lot of news today eight hundred two eight two two 371 00:19:03,240 --> 00:19:05,639 Speaker 1: eight eight two eight hundred two a two two eight 372 00:19:05,680 --> 00:19:07,560 Speaker 1: a two. It is open line Friday, so we'll try 373 00:19:07,600 --> 00:19:09,680 Speaker 1: to get to some calls end of this hour and 374 00:19:09,800 --> 00:19:11,560 Speaker 1: certainly in the end of the next hour. We're gonna 375 00:19:11,560 --> 00:19:13,239 Speaker 1: also gotta have a little more fun in the next hour. 376 00:19:13,359 --> 00:19:17,200 Speaker 1: Talk about movies Friday at thirteen Feel the Dreams, All 377 00:19:17,280 --> 00:19:20,480 Speaker 1: Kinds Friday. We can't wait, We can't be that. Alex 378 00:19:20,600 --> 00:19:23,960 Speaker 1: Barnson let's I want to talk. I want to talk 379 00:19:24,000 --> 00:19:27,200 Speaker 1: about the latest update on Afghanistan speaking about gloom and doom, 380 00:19:27,240 --> 00:19:29,960 Speaker 1: and then also the border. So two catastrophes, but we 381 00:19:30,080 --> 00:19:32,840 Speaker 1: gotta one. We gotta deal with first year Clay. I mean, 382 00:19:33,160 --> 00:19:35,879 Speaker 1: Alex looks at the data and but I remember because 383 00:19:36,119 --> 00:19:37,320 Speaker 1: you and I both follow him. You and I were 384 00:19:37,359 --> 00:19:39,080 Speaker 1: talking to Alex now for over a year and a half. 385 00:19:39,600 --> 00:19:44,760 Speaker 1: He was getting ridiculed in June for saying, guys, the 386 00:19:44,840 --> 00:19:47,600 Speaker 1: Israeli data is concerning. Guys, the Israeli data is concerning. 387 00:19:48,160 --> 00:19:50,960 Speaker 1: And now the Israeli data is actually looking like something 388 00:19:51,080 --> 00:19:54,800 Speaker 1: that is almost it's almost prophetic in looking at how 389 00:19:54,840 --> 00:19:57,080 Speaker 1: this is going to play out in other places. But 390 00:19:57,200 --> 00:19:59,840 Speaker 1: when he says, he says, straight up, they're lying to you. 391 00:20:00,040 --> 00:20:03,080 Speaker 1: You meaning the media is lying about this stuff. I mean, Clay, 392 00:20:03,119 --> 00:20:05,200 Speaker 1: there's a new story right now in media on you 393 00:20:05,280 --> 00:20:07,879 Speaker 1: know media. It's covering a CNN story where they have 394 00:20:08,000 --> 00:20:10,560 Speaker 1: two anchors who are crying and a parent who's crying 395 00:20:10,920 --> 00:20:13,680 Speaker 1: because there's a baby with COVID in the hospital, and 396 00:20:13,800 --> 00:20:15,399 Speaker 1: they're saying, if you want to have I mean, it's 397 00:20:15,400 --> 00:20:17,560 Speaker 1: a horrible thing, right, I've been sad. Baby but there's 398 00:20:17,560 --> 00:20:21,439 Speaker 1: a lot of emotional you know, impact meant to come 399 00:20:21,520 --> 00:20:24,320 Speaker 1: from this, and it's get vaccinated, or babies are going 400 00:20:24,359 --> 00:20:26,639 Speaker 1: to be in the hospital. That's the that's just not 401 00:20:27,320 --> 00:20:30,440 Speaker 1: I mean, one in a million, less than one in 402 00:20:30,480 --> 00:20:32,439 Speaker 1: a million babies are going to be in the hospital 403 00:20:32,560 --> 00:20:36,080 Speaker 1: from this. Yeah. And look what Alex is saying, and 404 00:20:36,200 --> 00:20:38,639 Speaker 1: this is database, right, I mean, he's not some you 405 00:20:38,760 --> 00:20:42,119 Speaker 1: know soothsayer. I mean he's looking at the data and saying, 406 00:20:42,200 --> 00:20:44,919 Speaker 1: and I tried to ask him directly, are we going 407 00:20:45,040 --> 00:20:48,000 Speaker 1: to be more like England where they saw a massive 408 00:20:48,119 --> 00:20:50,679 Speaker 1: spike and then they're back down, or are we going 409 00:20:50,760 --> 00:20:53,199 Speaker 1: to be more like Israel? And I think he made 410 00:20:53,200 --> 00:20:56,359 Speaker 1: a pretty good case that based on Israeli data, we 411 00:20:56,480 --> 00:20:59,959 Speaker 1: are trending in a big way towards being like Israel. 412 00:21:00,119 --> 00:21:02,480 Speaker 1: And I think it's important for people out there in 413 00:21:02,560 --> 00:21:05,120 Speaker 1: the Northeast and the Midwest who are saying, oh, look 414 00:21:05,160 --> 00:21:08,520 Speaker 1: at Florida, look at Texas. Remember this is the way 415 00:21:08,600 --> 00:21:12,920 Speaker 1: those cycles have worked because Florida, when it gets super hot, 416 00:21:13,119 --> 00:21:16,960 Speaker 1: everybody goes indoors, and that's when COVID spreads down there. 417 00:21:17,359 --> 00:21:20,200 Speaker 1: When it gets more you know, normal temperature, which is 418 00:21:20,240 --> 00:21:22,600 Speaker 1: what's going on in the Midwest in the northeast right now. 419 00:21:23,160 --> 00:21:26,160 Speaker 1: That is when Florida starts to decline and these other 420 00:21:26,280 --> 00:21:28,840 Speaker 1: parts of the country skyrocket. And his point, I thought 421 00:21:28,920 --> 00:21:31,639 Speaker 1: was an interesting one. Buck on Oregon, which is one 422 00:21:31,680 --> 00:21:35,680 Speaker 1: of the most vaccinated countries in the entire nation, and 423 00:21:35,840 --> 00:21:39,840 Speaker 1: they are seeing right now a skyrocketing rate of infection. 424 00:21:39,880 --> 00:21:42,080 Speaker 1: I did right as he said. And I'm sure some 425 00:21:42,160 --> 00:21:43,720 Speaker 1: people at home and a lot of people listen to 426 00:21:43,800 --> 00:21:45,879 Speaker 1: us driving the car or whatever, so safety first, right 427 00:21:45,960 --> 00:21:48,240 Speaker 1: to keep your hands on the wheel. But I did 428 00:21:48,359 --> 00:21:50,520 Speaker 1: google Oregon right as he said that. And yeah, there's 429 00:21:50,520 --> 00:21:53,920 Speaker 1: all these news stories about Oregon's big case spike. Interesting 430 00:21:54,000 --> 00:21:55,960 Speaker 1: because you have to look for it. You know, if 431 00:21:56,000 --> 00:21:59,480 Speaker 1: you just had to set all you'd see is Texas 432 00:21:59,560 --> 00:22:02,200 Speaker 1: and Florida. Oregon has a big case. By hold on 433 00:22:02,240 --> 00:22:05,040 Speaker 1: a second, Oregon. It's a very blue state with a 434 00:22:05,119 --> 00:22:08,040 Speaker 1: high vaccination rate. Isn't that so interesting? Clay? So we 435 00:22:08,160 --> 00:22:10,520 Speaker 1: got that, And I mean, look, I think it's I 436 00:22:10,600 --> 00:22:12,440 Speaker 1: know they're gonna say, I'll experience them on the left 437 00:22:12,480 --> 00:22:13,880 Speaker 1: and the and not even the left, just the sort 438 00:22:13,880 --> 00:22:16,840 Speaker 1: of consensus media, the Democrat left media is going to 439 00:22:16,920 --> 00:22:18,640 Speaker 1: say that, you know, he's a quack or whatever, even 440 00:22:18,680 --> 00:22:20,760 Speaker 1: though how many times has he been right already? Right, 441 00:22:20,760 --> 00:22:22,400 Speaker 1: I mean, he's not right all the time, but he's 442 00:22:22,840 --> 00:22:25,760 Speaker 1: I think he's batting about from his predictions that I've seen, 443 00:22:26,520 --> 00:22:30,720 Speaker 1: you know, eighty percent, maybe ninety percent, he's been pretty solid. 444 00:22:31,280 --> 00:22:34,960 Speaker 1: And I gotta tell you, man that when he says 445 00:22:35,000 --> 00:22:38,520 Speaker 1: they're lying about this only being a pandemic of the unvaccinated, 446 00:22:39,400 --> 00:22:41,639 Speaker 1: he's not saying that. It doesn't mean there's a disparity, 447 00:22:41,720 --> 00:22:45,240 Speaker 1: but that right there isn't a substantial piece of the 448 00:22:45,359 --> 00:22:48,920 Speaker 1: current wave that are fully vaccine and individuals. That is 449 00:22:50,960 --> 00:22:54,000 Speaker 1: the word bombshell is being overused lately, But it's true 450 00:22:54,560 --> 00:22:59,439 Speaker 1: that we are being told by our government that if 451 00:22:59,560 --> 00:23:02,960 Speaker 1: everybody was vaccinated, COVID would go away. You agree with 452 00:23:03,040 --> 00:23:05,399 Speaker 1: that as the primary sales pitch right now for what 453 00:23:05,520 --> 00:23:08,600 Speaker 1: our government is if everybody would there would go away, 454 00:23:08,720 --> 00:23:12,399 Speaker 1: if everybody would give up their vaccine hesitancy COVID is 455 00:23:12,560 --> 00:23:14,959 Speaker 1: zero is the belief that we are to have from 456 00:23:15,000 --> 00:23:18,440 Speaker 1: the media, and it's clearly not true. It's one hundred false. 457 00:23:19,000 --> 00:23:21,840 Speaker 1: And if we go down the pathway of Israel, what 458 00:23:22,080 --> 00:23:25,880 Speaker 1: people are going to have to acknowledge is that once more, 459 00:23:26,720 --> 00:23:30,240 Speaker 1: all of the quote unquote experts lied to us and 460 00:23:30,520 --> 00:23:32,920 Speaker 1: sold us a false bill of goods, and it's just 461 00:23:33,200 --> 00:23:38,320 Speaker 1: going to create more anger and antipathy out there against 462 00:23:38,520 --> 00:23:40,800 Speaker 1: all of these people who are trying to tell you 463 00:23:40,960 --> 00:23:43,080 Speaker 1: what to do. COVID's not going away no matter what 464 00:23:43,200 --> 00:23:44,760 Speaker 1: we do. Let me give just a theory, and then 465 00:23:44,760 --> 00:23:47,840 Speaker 1: we got to get into, i mean, the latest on Afghanistan, 466 00:23:48,080 --> 00:23:50,639 Speaker 1: because I mean, it's rare that you're going to be 467 00:23:50,720 --> 00:23:53,440 Speaker 1: doing a radio show, Clay, and in real time a 468 00:23:53,560 --> 00:23:57,159 Speaker 1: country is actually falling apart that the US had been 469 00:23:57,200 --> 00:23:59,320 Speaker 1: propping up for twenty years, and that has happening, right, 470 00:23:59,440 --> 00:24:02,800 Speaker 1: So we'll get to that because it's almost like watching 471 00:24:02,880 --> 00:24:04,879 Speaker 1: a stock ticker of a collapse, you know, of a 472 00:24:04,920 --> 00:24:09,120 Speaker 1: stock market crash. That's what the news updates on Afghanistan 473 00:24:09,240 --> 00:24:11,440 Speaker 1: look like right now. And I'm getting tweets and text 474 00:24:11,480 --> 00:24:14,080 Speaker 1: messages and people I know from government side and people 475 00:24:14,119 --> 00:24:17,760 Speaker 1: I know from from media cover Afghanistan clothes. Anyway, one 476 00:24:17,840 --> 00:24:19,159 Speaker 1: more thing, though, I just want to put this out 477 00:24:19,160 --> 00:24:20,520 Speaker 1: to you as a thought play. And now you know 478 00:24:20,600 --> 00:24:22,680 Speaker 1: I'm not making a prediction. I'm just putting out an idea. 479 00:24:23,160 --> 00:24:26,679 Speaker 1: We know the Great Barrington Declaration, which came out roughly 480 00:24:26,920 --> 00:24:29,040 Speaker 1: what was it now, a year and a couple of 481 00:24:29,080 --> 00:24:31,840 Speaker 1: months ago, maybe or roughly a year ago. The Great 482 00:24:31,880 --> 00:24:34,240 Speaker 1: Barrington Declaration, with thousands of science as signed. It said 483 00:24:34,240 --> 00:24:38,760 Speaker 1: that we should have a focused protection regime of isolate 484 00:24:38,800 --> 00:24:40,840 Speaker 1: and protect to the greatest degree possible those at risk. 485 00:24:41,240 --> 00:24:45,800 Speaker 1: Everybody else. Everybody else basically is in a let it 486 00:24:45,920 --> 00:24:49,280 Speaker 1: rip quarantine when you're sick and just deal with life phase. 487 00:24:49,400 --> 00:24:52,320 Speaker 1: That's basically what we normally do. But that's how we 488 00:24:52,400 --> 00:24:54,960 Speaker 1: handle flu, that's how we handle the things. If if 489 00:24:55,040 --> 00:25:00,119 Speaker 1: Alex's Israeli thesis Israeli data thesis here is correct, and 490 00:25:00,359 --> 00:25:03,639 Speaker 1: mass vaccine, it's not that they don't work, it's that 491 00:25:03,720 --> 00:25:06,119 Speaker 1: they don't work forever, which is clearly the case when 492 00:25:06,200 --> 00:25:09,119 Speaker 1: Fauci's saying we're all gonna need boosters at some point. Okay, 493 00:25:09,320 --> 00:25:11,600 Speaker 1: but if he's right that they fade much faster than 494 00:25:11,640 --> 00:25:14,800 Speaker 1: anybody anticipated, what we're going to eventually realize is that 495 00:25:14,880 --> 00:25:18,040 Speaker 1: the only true way through this, meaning it really is 496 00:25:18,119 --> 00:25:22,800 Speaker 1: not the public health crisis, is through mass naturally acquired 497 00:25:23,440 --> 00:25:27,280 Speaker 1: Everybody has to get a basically everybody is going to 498 00:25:27,440 --> 00:25:30,879 Speaker 1: get this thing, and so that they will never accept that, 499 00:25:31,320 --> 00:25:33,440 Speaker 1: they will never agree that that is the end stay 500 00:25:33,480 --> 00:25:36,399 Speaker 1: conclusion because of what they've put everybody through. But it 501 00:25:36,520 --> 00:25:39,040 Speaker 1: does seem like that's a possibility now, doesn't It seems 502 00:25:39,040 --> 00:25:43,119 Speaker 1: like that's the only way for normalcy to truly occur. 503 00:25:43,880 --> 00:25:47,800 Speaker 1: Is everybody's going to have to get COVID basically, but 504 00:25:48,000 --> 00:25:50,600 Speaker 1: or else you're gonna have to get eight boosters a 505 00:25:50,760 --> 00:25:53,960 Speaker 1: year forever. Let me just the other. The other possibility though, 506 00:25:53,960 --> 00:25:55,280 Speaker 1: and this is actually what I was getting at, is 507 00:25:55,320 --> 00:25:58,760 Speaker 1: that if you get you know, seventy to eighty percent 508 00:25:58,800 --> 00:26:00,960 Speaker 1: of the US population and has had it, then the 509 00:26:01,080 --> 00:26:04,159 Speaker 1: reservoir for the bouncing around becomes smaller, and then you 510 00:26:04,440 --> 00:26:07,800 Speaker 1: are you get to relative herd immunity at least. And 511 00:26:08,040 --> 00:26:10,960 Speaker 1: that's why, you know, maybe you could say the delay 512 00:26:11,240 --> 00:26:13,480 Speaker 1: for the seniors that have gotten the vaccine. I mean, 513 00:26:13,520 --> 00:26:15,800 Speaker 1: there are some ways that this there'll be nuanced in this, 514 00:26:16,600 --> 00:26:19,639 Speaker 1: but yeah, basically, naturally acquired immunity maybe the thing that 515 00:26:19,800 --> 00:26:21,479 Speaker 1: is durable and the only way that we actually get 516 00:26:21,520 --> 00:26:23,240 Speaker 1: out of this, and we're gonna find it out the 517 00:26:23,320 --> 00:26:26,200 Speaker 1: hard way, largely because I think we've rejected a hundred 518 00:26:26,280 --> 00:26:29,560 Speaker 1: years of actual human experience with viruses to get us 519 00:26:29,600 --> 00:26:32,440 Speaker 1: to this point, which anybody who disagrees with go read 520 00:26:32,560 --> 00:26:35,119 Speaker 1: as I have some of the history's done about the 521 00:26:35,160 --> 00:26:37,720 Speaker 1: Spanish influenza pandemic, and we had some of the same 522 00:26:37,880 --> 00:26:40,760 Speaker 1: arguments and the same you know, societies for the masking 523 00:26:40,800 --> 00:26:44,560 Speaker 1: of all humanity, and these people were nuts. Okay, Clay, 524 00:26:44,800 --> 00:26:46,520 Speaker 1: will we promise you all by the way one we 525 00:26:46,600 --> 00:26:48,000 Speaker 1: were going to get some of your calls because you'll 526 00:26:48,000 --> 00:26:49,680 Speaker 1: probably have some lighter thoughts than us. And then also 527 00:26:49,720 --> 00:26:52,480 Speaker 1: in the third hour, it's gonna get lighter. We're gonna 528 00:26:52,480 --> 00:26:55,320 Speaker 1: get get lighter. We're gonna take you into a happier place. 529 00:26:55,359 --> 00:26:58,080 Speaker 1: We'll talk movies, Clay and I will argue about the 530 00:26:58,119 --> 00:27:00,800 Speaker 1: career of Kevin Costner. It's gonna be fun. But Clay, 531 00:27:00,840 --> 00:27:03,480 Speaker 1: we've got to also just update everybody on this, and 532 00:27:03,520 --> 00:27:05,400 Speaker 1: we've got the border issue to come up to as well. 533 00:27:06,600 --> 00:27:09,520 Speaker 1: They're saying Afghanistan right now on verge of complete Taliban 534 00:27:09,640 --> 00:27:14,679 Speaker 1: takeovers the news ticker on CNN and on Fox News. 535 00:27:14,840 --> 00:27:18,879 Speaker 1: They had a headline up there DoD source cobble, the 536 00:27:18,960 --> 00:27:25,520 Speaker 1: capital of Afghanistan could fall tomorrow. Clay, I mean, it 537 00:27:25,720 --> 00:27:29,560 Speaker 1: feels like you know, a few platoons of US troops 538 00:27:29,680 --> 00:27:32,760 Speaker 1: in this massive country would do a better job of 539 00:27:32,960 --> 00:27:37,080 Speaker 1: defending it from Taliban takeover than the three hundred thousand 540 00:27:37,760 --> 00:27:41,160 Speaker 1: on paper strong Afghan National Army. I mean, you've got 541 00:27:41,240 --> 00:27:45,040 Speaker 1: to be this is crazy. Feels like the fix was 542 00:27:45,200 --> 00:27:49,159 Speaker 1: in and there was already in agreement. Maybe it's not 543 00:27:49,359 --> 00:27:52,320 Speaker 1: the case, but for that much of the Afghan government 544 00:27:52,359 --> 00:27:55,879 Speaker 1: to fall this fast, it feels like behind the scenes 545 00:27:55,920 --> 00:27:58,680 Speaker 1: they had basically already agreed that the Taliban as soon 546 00:27:58,760 --> 00:28:00,960 Speaker 1: as the United States pulled out out that they were 547 00:28:01,000 --> 00:28:02,760 Speaker 1: not going to have control of the country anymore. I mean, 548 00:28:02,880 --> 00:28:05,560 Speaker 1: this is that's where the intelligence failure component of this 549 00:28:05,680 --> 00:28:09,560 Speaker 1: comes in with that this was not I mean, look, 550 00:28:09,840 --> 00:28:12,280 Speaker 1: if you does anyone really think the Biden administration would 551 00:28:12,320 --> 00:28:15,159 Speaker 1: have committed to this course if they thought that they 552 00:28:15,200 --> 00:28:17,760 Speaker 1: wouldn't even last till Labor Day with the I mean, 553 00:28:17,960 --> 00:28:21,840 Speaker 1: no way, right. They clearly didn't see this coming. They 554 00:28:21,960 --> 00:28:25,720 Speaker 1: clearly didn't make the provisions necessary with knowledge of what 555 00:28:25,800 --> 00:28:31,720 Speaker 1: they were up against. Massive intelligence failure. I just like, 556 00:28:32,200 --> 00:28:34,400 Speaker 1: my mind is blown here, buck. If you start thinking 557 00:28:34,440 --> 00:28:36,639 Speaker 1: about what's going on with the murder rate, if you 558 00:28:36,720 --> 00:28:38,640 Speaker 1: think about what's going on with the border, if you 559 00:28:38,680 --> 00:28:40,520 Speaker 1: think about what's going on with COVID, if you think 560 00:28:40,520 --> 00:28:43,959 Speaker 1: about what's going on with Afghanistan. This is right now 561 00:28:44,080 --> 00:28:47,360 Speaker 1: the first six months of the Biden administration, the worst 562 00:28:47,520 --> 00:28:51,160 Speaker 1: presidency almost of any of our lives. I mean, what 563 00:28:51,400 --> 00:28:53,680 Speaker 1: have they managed. And that doesn't even taken into account 564 00:28:53,720 --> 00:28:57,000 Speaker 1: inflation or all the ridiculous money that they are spending. 565 00:28:57,520 --> 00:29:01,040 Speaker 1: Everything that Biden is touching is turning to the opposite 566 00:29:01,080 --> 00:29:03,000 Speaker 1: of gold, which would be a word that we probably 567 00:29:03,040 --> 00:29:05,880 Speaker 1: can't use on this right. I mean, I gotta say, 568 00:29:05,920 --> 00:29:08,840 Speaker 1: it's like an extension of the old office space question 569 00:29:09,400 --> 00:29:12,720 Speaker 1: what would you say you do here? And in this 570 00:29:12,880 --> 00:29:15,000 Speaker 1: case it's what would you say you do here that 571 00:29:15,320 --> 00:29:19,040 Speaker 1: isn't terrible? That's what the Biden administration should be asked, 572 00:29:19,080 --> 00:29:22,360 Speaker 1: What would you say you do that isn't awful when 573 00:29:22,400 --> 00:29:24,640 Speaker 1: it comes to decision making. But Clay, you want to 574 00:29:24,640 --> 00:29:26,200 Speaker 1: get some calls here? We got we got Rack and 575 00:29:26,240 --> 00:29:29,400 Speaker 1: Stack on open line Friday, and then we've got movies 576 00:29:29,440 --> 00:29:32,440 Speaker 1: to talk about. The baseball game in the field of 577 00:29:32,560 --> 00:29:35,240 Speaker 1: dreams that Clay knows about that stuff. He'll about the cornfield, 578 00:29:35,280 --> 00:29:38,280 Speaker 1: the cornfields and the baseball and America and all that 579 00:29:38,360 --> 00:29:40,080 Speaker 1: good stuff. We'll get to it in a moment. But 580 00:29:40,760 --> 00:29:43,160 Speaker 1: you know, ever since uh well, this is actually from 581 00:29:43,240 --> 00:29:46,560 Speaker 1: Wren in Fairview, Texas and it's a testimonial, and Wren 582 00:29:46,640 --> 00:29:49,400 Speaker 1: writes in about rough Greens that ever since we started 583 00:29:49,480 --> 00:29:52,120 Speaker 1: mixing the rough Greens to Piper's food, she always finishes it. 584 00:29:52,200 --> 00:29:54,840 Speaker 1: She loves this product so much. We also noticed that 585 00:29:54,960 --> 00:29:58,640 Speaker 1: since she started taking rough Greens her fur is fuller, softer, brighter, 586 00:29:59,320 --> 00:30:01,920 Speaker 1: and more BEAUTIFU thank you rough Greens. Well, we love 587 00:30:01,960 --> 00:30:04,360 Speaker 1: those testimonials RNs, so thank you so much for writing in. 588 00:30:04,840 --> 00:30:06,840 Speaker 1: You know, rough greens is a supplement that I add 589 00:30:06,880 --> 00:30:09,640 Speaker 1: to my French bulldog to Lula's food. Now I've got 590 00:30:09,680 --> 00:30:11,560 Speaker 1: my brother adding it to Percy's would We posted a 591 00:30:11,600 --> 00:30:13,400 Speaker 1: photo of Percy at Clay and Buck dot com. You 592 00:30:13,400 --> 00:30:15,600 Speaker 1: can go check it out. Percy's up there now. He's 593 00:30:15,640 --> 00:30:17,719 Speaker 1: a pomerating, great little dude. So we got all our 594 00:30:17,720 --> 00:30:20,920 Speaker 1: family dogs eating rough greens. Rough greens is absolutely great 595 00:30:21,040 --> 00:30:25,360 Speaker 1: for your pop alright. It has vitamins, probiotics, enzymes, omega oils, 596 00:30:25,440 --> 00:30:30,040 Speaker 1: and antioxidants, no GMOs or or hormones or any of 597 00:30:30,080 --> 00:30:33,520 Speaker 1: that stuff. Okay, Rough Greens are great for your dog. 598 00:30:33,640 --> 00:30:35,200 Speaker 1: And in fact, the folks at rough Greens are so 599 00:30:35,360 --> 00:30:37,680 Speaker 1: confident your dog is gonna love them that they have 600 00:30:37,760 --> 00:30:40,120 Speaker 1: a special deal for you. Our listeners. Go to Roughgreens 601 00:30:40,160 --> 00:30:42,800 Speaker 1: dot com, slash Clay and Buck. They're gonna give you 602 00:30:42,840 --> 00:30:45,160 Speaker 1: the first bag free. You heard me write free. All 603 00:30:45,240 --> 00:30:48,959 Speaker 1: you pay is shipping are Uff, Roughgreens dot Com, slash 604 00:30:49,040 --> 00:30:53,040 Speaker 1: Clay and Buck. Rough Greens dot Com, slash Clay and Buck. 605 00:30:58,800 --> 00:31:01,560 Speaker 1: Welcome back in Clay Droves Buck Sexton Friday Edition. We're 606 00:31:01,600 --> 00:31:04,440 Speaker 1: trying not to be the bearers of all bad news, 607 00:31:04,560 --> 00:31:08,680 Speaker 1: but man, that Alex Berenson data analysis, if America is 608 00:31:08,720 --> 00:31:11,800 Speaker 1: following down the path of Israel, is going to be 609 00:31:13,000 --> 00:31:17,680 Speaker 1: cataclysmic in this country. Buck Well for the narrative, right, 610 00:31:17,680 --> 00:31:20,320 Speaker 1: because because what the upside of this that you and 611 00:31:20,400 --> 00:31:22,680 Speaker 1: I've just been talking about is as weird as it 612 00:31:22,840 --> 00:31:24,560 Speaker 1: is to say, and we're going to get to a 613 00:31:24,600 --> 00:31:27,240 Speaker 1: point where basically everybody's immune system has been in contact 614 00:31:27,280 --> 00:31:30,200 Speaker 1: with this thing one way or another. Right, natural immunity 615 00:31:30,360 --> 00:31:32,960 Speaker 1: is going to become the new focus. If Alex Berenson's 616 00:31:33,040 --> 00:31:36,920 Speaker 1: numbers are right, then getting the vaccination is not going 617 00:31:37,040 --> 00:31:41,160 Speaker 1: to be really the pathway out of this COVID madness. 618 00:31:41,320 --> 00:31:44,360 Speaker 1: It's going to be everybody getting natural immunity and being 619 00:31:44,400 --> 00:31:47,240 Speaker 1: exposed to this virus. All makes sense. We gonna start 620 00:31:47,240 --> 00:31:48,240 Speaker 1: to add it up. Let's get to some of the 621 00:31:48,280 --> 00:31:53,240 Speaker 1: folks out there across the country. We got Chris in Clinton, Kentucky. Chris, welcome, 622 00:31:55,120 --> 00:32:00,520 Speaker 1: Thanks for Tyton McCall. We are we have drawn the 623 00:32:00,640 --> 00:32:06,320 Speaker 1: line in the sand. In Hickman County, Kentucky. We've had 624 00:32:06,440 --> 00:32:11,920 Speaker 1: a very tyrannical governor that keeps issuing mandates that he 625 00:32:12,120 --> 00:32:18,640 Speaker 1: has had the power stripped away from, and he's had 626 00:32:18,640 --> 00:32:21,600 Speaker 1: an injunction put on. Now he's got the Kentucky Board 627 00:32:21,640 --> 00:32:25,000 Speaker 1: of Education doing his dirty work for him, mandate mask 628 00:32:25,120 --> 00:32:27,560 Speaker 1: in schools, and we've drawn the line. And we have 629 00:32:29,520 --> 00:32:33,040 Speaker 1: students and teachers have walked out of the school today 630 00:32:34,520 --> 00:32:40,520 Speaker 1: because the staff or the officials that they were told 631 00:32:40,560 --> 00:32:43,320 Speaker 1: that they were going to have to leave if if 632 00:32:43,400 --> 00:32:45,600 Speaker 1: they would not wear the mask. And my wife, as 633 00:32:45,640 --> 00:32:49,160 Speaker 1: a kindergarten teacher, she did as well as my children, 634 00:32:49,880 --> 00:32:53,160 Speaker 1: and they're so for people who don't know, thanks for 635 00:32:53,200 --> 00:32:57,360 Speaker 1: the call. Chris. The governor of Kentucky Buck has mandated 636 00:32:57,440 --> 00:33:00,760 Speaker 1: that everybody has to wear a mask. Very red state, 637 00:33:01,280 --> 00:33:04,680 Speaker 1: very red state. But sheer sort of lucked his way 638 00:33:04,880 --> 00:33:08,600 Speaker 1: into that governatorial position. And what's unfortunate is, you know, 639 00:33:08,640 --> 00:33:11,440 Speaker 1: we've had Rand Paul on this show a lot, and 640 00:33:11,680 --> 00:33:15,240 Speaker 1: Ran Paul has been one of the best and most 641 00:33:15,320 --> 00:33:20,000 Speaker 1: outspoken and honest COVID analysts anywhere in government. And instead 642 00:33:20,040 --> 00:33:23,200 Speaker 1: of being able to listen to him, I think what 643 00:33:23,320 --> 00:33:26,200 Speaker 1: Chris is hinting at is the mask battles as we 644 00:33:26,400 --> 00:33:31,480 Speaker 1: saw here in Tennessee have become real and uh and 645 00:33:31,600 --> 00:33:35,360 Speaker 1: that is a massive, massive deal. Let's get Bruce in Orlando, 646 00:33:35,480 --> 00:33:37,320 Speaker 1: Florida in the mix. Here, Blue, Bruce, what do you 647 00:33:37,360 --> 00:33:42,280 Speaker 1: got for us? Hello, Bruce, I'm here, Yes, sir, what 648 00:33:42,320 --> 00:33:51,720 Speaker 1: do you got? I'm just turned retirement age. Yeah, yeah, 649 00:33:51,760 --> 00:33:56,240 Speaker 1: I'm you know, I'm I'm conservative. I'm not a neo Khan. 650 00:33:56,680 --> 00:33:58,719 Speaker 1: You know. I traveled the state at my job right now, 651 00:33:58,760 --> 00:34:02,480 Speaker 1: and I listen to Concern Radio all day long. But 652 00:34:02,640 --> 00:34:07,560 Speaker 1: there's no clarity from anybody anywhere. Thank God, we got 653 00:34:07,640 --> 00:34:12,200 Speaker 1: a good governor. Governor on in Florida, there's no clarity 654 00:34:12,320 --> 00:34:16,600 Speaker 1: on what path to How old are you, Bruce? How 655 00:34:16,680 --> 00:34:20,000 Speaker 1: old are you? I'm sixty two and a half. How's 656 00:34:20,280 --> 00:34:25,239 Speaker 1: how's your weight? I'm a skinny guy, former athlete. I'm 657 00:34:25,920 --> 00:34:29,480 Speaker 1: six foote eight, all right. So what you're hitting at, 658 00:34:29,520 --> 00:34:31,279 Speaker 1: and I appreciate the call, is there's a lot of 659 00:34:31,360 --> 00:34:34,080 Speaker 1: conflicting advice out there. What I would say to you, Bruce, 660 00:34:34,280 --> 00:34:36,680 Speaker 1: is your sixty two and a half. I would say 661 00:34:36,800 --> 00:34:39,400 Speaker 1: for people who are in that sixty and up range, 662 00:34:39,440 --> 00:34:41,759 Speaker 1: as we have been saying for a while, buck, that 663 00:34:41,920 --> 00:34:45,319 Speaker 1: the vaccine is a good choice. Right. The data would 664 00:34:45,400 --> 00:34:47,560 Speaker 1: reflect that the people who are in the biggest risk 665 00:34:47,680 --> 00:34:50,360 Speaker 1: are sixty five or older. You're close to it, Bruce, 666 00:34:50,640 --> 00:34:52,879 Speaker 1: if you haven't gotten the vaccine, I think it makes 667 00:34:52,920 --> 00:34:55,520 Speaker 1: sense personally. That's what I told my parents. You should 668 00:34:55,560 --> 00:34:58,240 Speaker 1: talk to your doctors. Yes, but from us like Bucket, 669 00:34:58,280 --> 00:35:00,919 Speaker 1: I are not doctors, but from our perspect I would 670 00:35:00,920 --> 00:35:02,920 Speaker 1: give all of our listeners the same advice that I 671 00:35:02,960 --> 00:35:04,880 Speaker 1: would give my parents, and that was, if you're over 672 00:35:04,960 --> 00:35:08,040 Speaker 1: sixty five, we get seen. Yep. Liz Columbus, Ohio, we 673 00:35:08,120 --> 00:35:10,000 Speaker 1: got to hear this one, Liz, what do you got? 674 00:35:10,160 --> 00:35:14,480 Speaker 1: Fucking Clay? I called to congratulate you on your unbelievable 675 00:35:14,680 --> 00:35:17,960 Speaker 1: ratings that you've got. I'm reading this article I don't know. 676 00:35:18,080 --> 00:35:20,719 Speaker 1: I just popped up and it says we couldn't be 677 00:35:20,960 --> 00:35:25,600 Speaker 1: more proud of clay In Bucks. Rush Limbaugh left very 678 00:35:25,640 --> 00:35:28,320 Speaker 1: big shoes to fill, but their effort to honor his 679 00:35:28,560 --> 00:35:34,279 Speaker 1: legacy while creating a new program that entertains in informs 680 00:35:34,760 --> 00:35:39,680 Speaker 1: people across the country is clearly paying off and resonating 681 00:35:39,760 --> 00:35:43,720 Speaker 1: with listeners. We're excited to see what the future holds 682 00:35:43,840 --> 00:35:47,640 Speaker 1: for this talent to duo. I called because I wanted 683 00:35:47,719 --> 00:35:53,719 Speaker 1: to congratulate you on your excellent ratings. Lie Well, thank you. 684 00:35:54,000 --> 00:35:56,040 Speaker 1: Liz is killing it for us there. They put out 685 00:35:56,080 --> 00:35:59,520 Speaker 1: a press release. I tweeted it out. We appreciate all 686 00:35:59,560 --> 00:36:02,440 Speaker 1: the posit of words, but we appreciate really the loyalty 687 00:36:02,560 --> 00:36:05,800 Speaker 1: that Rusha's audience has paid to us as we have 688 00:36:05,960 --> 00:36:08,440 Speaker 1: tried to continue to fight the battles that he has 689 00:36:08,480 --> 00:36:11,680 Speaker 1: fought for so long, and we got some incredible numbers 690 00:36:11,719 --> 00:36:15,800 Speaker 1: all over the country. Rise are responding very favorably to 691 00:36:16,000 --> 00:36:18,480 Speaker 1: what we are doing, and we are immensely grateful to 692 00:36:18,560 --> 00:36:19,920 Speaker 1: you guys. Thank you. Hope. We have a lot of 693 00:36:20,080 --> 00:36:22,319 Speaker 1: good days, weeks, and months to come, but the start 694 00:36:22,400 --> 00:36:24,960 Speaker 1: has been about as good as could we do. The 695 00:36:25,080 --> 00:36:27,520 Speaker 1: border and then I promise happy stuff we'll border, and 696 00:36:27,560 --> 00:36:30,680 Speaker 1: then happy border negativity from Buck, and then then we're 697 00:36:30,680 --> 00:36:33,080 Speaker 1: gonna have some fun rolling into the weekend with a 698 00:36:33,120 --> 00:36:36,839 Speaker 1: lot of difference. Full of sugar makes the medicine go down. 699 00:36:36,920 --> 00:36:39,120 Speaker 1: With Clay and Buck, we'll get into the border crisis 700 00:36:39,200 --> 00:36:44,200 Speaker 1: and then the field of dreams happiness coming up. You're 701 00:36:44,280 --> 00:36:48,040 Speaker 1: listening to Clay Travis and Buck Sexton fund the EIB 702 00:36:48,440 --> 00:36:48,880 Speaker 1: Network