1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and Buck 2 00:00:03,360 --> 00:00:08,400 Speaker 1: Sexton Show podcast. Welcome in Tuesday edition Clay Travis and 3 00:00:08,440 --> 00:00:10,639 Speaker 1: Buck Sexton Show. I hope all of you are having 4 00:00:10,680 --> 00:00:14,480 Speaker 1: a fantastic starts to your Tuesday. We're about to make 5 00:00:14,480 --> 00:00:17,680 Speaker 1: it even better as we roll through the issues, the craziness, 6 00:00:17,760 --> 00:00:21,760 Speaker 1: the zaniness, the insanity of the day, and we begin 7 00:00:22,040 --> 00:00:24,720 Speaker 1: with a battle that we told you was coming, but 8 00:00:24,800 --> 00:00:30,280 Speaker 1: it appears to have begun officially in earnest. San Francisco, 9 00:00:30,880 --> 00:00:34,120 Speaker 1: as we have told you, is now mandating the COVID 10 00:00:34,200 --> 00:00:37,879 Speaker 1: vaccine for five to eleven year olds. That means, if 11 00:00:37,880 --> 00:00:40,880 Speaker 1: you're five year old wants to get some chicken McNuggets, 12 00:00:41,520 --> 00:00:44,440 Speaker 1: you have to show a vaccine card to be able 13 00:00:44,479 --> 00:00:49,879 Speaker 1: to enter a McDonald's to get them chicken McNuggets. Now, 14 00:00:50,040 --> 00:00:54,160 Speaker 1: as we talked about New York City, at least under 15 00:00:54,160 --> 00:00:58,240 Speaker 1: Build the Blasio before he is removed and replaced by 16 00:00:58,400 --> 00:01:02,600 Speaker 1: Eric Adams, is saying that New York City may well 17 00:01:02,640 --> 00:01:07,200 Speaker 1: need to follow the lead out of San Francisco and 18 00:01:07,240 --> 00:01:11,880 Speaker 1: continue to mandate this madness. Here is, as Buck would say, 19 00:01:12,240 --> 00:01:16,560 Speaker 1: the worst mayor in the entire country, Build the Blasio. 20 00:01:16,760 --> 00:01:20,560 Speaker 1: Talking about mandating the vaccine four five to eleven year 21 00:01:20,600 --> 00:01:23,000 Speaker 1: old children, at what point will you ask them to 22 00:01:23,080 --> 00:01:26,639 Speaker 1: also start checking for vacc's cards four five to eleven 23 00:01:26,720 --> 00:01:30,640 Speaker 1: year olds. It's a very good question, and honestly one 24 00:01:30,760 --> 00:01:33,640 Speaker 1: we need to focus on now. We wanted to get 25 00:01:33,680 --> 00:01:36,039 Speaker 1: to the day where we actually could vaccinate the youngest 26 00:01:36,040 --> 00:01:39,080 Speaker 1: New Yorkers and get that rolling. We know it'll take 27 00:01:39,120 --> 00:01:42,000 Speaker 1: a while. I mean right now, to use the example 28 00:01:42,160 --> 00:01:45,680 Speaker 1: of the twelve to seventeen year olds, very good news. 29 00:01:45,720 --> 00:01:49,280 Speaker 1: We're almost at seventy nine percent of them. That's fantastic, 30 00:01:49,320 --> 00:01:53,160 Speaker 1: But it did take a while. So it's a great question, Elizabeth, 31 00:01:53,160 --> 00:01:55,760 Speaker 1: this one night. I don't think we're gonna settle immediately 32 00:01:55,840 --> 00:01:59,240 Speaker 1: because it will naturally take a number of weeks for 33 00:01:59,360 --> 00:02:02,800 Speaker 1: that age group to get vaccinated. But it's a question 34 00:02:02,840 --> 00:02:05,520 Speaker 1: we need to answer for the weeks ahead, and we'll 35 00:02:05,520 --> 00:02:09,119 Speaker 1: come back on that. Buck. I'm a dad. I've got 36 00:02:09,160 --> 00:02:13,480 Speaker 1: three boys. The idea that there would be anywhere that 37 00:02:13,560 --> 00:02:17,680 Speaker 1: would mandate that my seven year old or my eleven 38 00:02:17,760 --> 00:02:20,720 Speaker 1: year old get vaccinated for COVID, which by the way, 39 00:02:20,760 --> 00:02:22,840 Speaker 1: I think they probably have already had. And I'm going 40 00:02:22,880 --> 00:02:24,839 Speaker 1: to run through some data here in a little bit 41 00:02:25,200 --> 00:02:28,280 Speaker 1: from the Wall Street Journal, a great article that was 42 00:02:28,320 --> 00:02:31,920 Speaker 1: on their editorial page here in the last day or so. 43 00:02:32,840 --> 00:02:36,280 Speaker 1: There's no way in hell that I am getting my five, 44 00:02:36,480 --> 00:02:38,640 Speaker 1: my seven year old, and my eleven year old, my 45 00:02:38,800 --> 00:02:42,680 Speaker 1: first grader, and my fifth grader vaccinated. And if you 46 00:02:42,800 --> 00:02:46,480 Speaker 1: thought the mask battle was significant, you ain't seen nothing 47 00:02:46,760 --> 00:02:49,400 Speaker 1: until parents are being told that their kids have to 48 00:02:49,400 --> 00:02:51,880 Speaker 1: get a vaccine that they don't need, which we have 49 00:02:52,000 --> 00:02:55,000 Speaker 1: no idea about the long range consequences of They're going 50 00:02:55,040 --> 00:02:56,920 Speaker 1: to do this in the schools in a lot of states. 51 00:02:56,919 --> 00:02:59,880 Speaker 1: As we've been saying all along, depends on what state 52 00:03:00,080 --> 00:03:03,600 Speaker 1: you're in. I do think, depending on what caseload we 53 00:03:03,639 --> 00:03:06,760 Speaker 1: have throughout the wintertime. Though, you may also see a 54 00:03:06,880 --> 00:03:09,240 Speaker 1: move from within the federal government to try to use 55 00:03:09,280 --> 00:03:15,200 Speaker 1: Department of Education funds to bully even non blue lunatic 56 00:03:15,320 --> 00:03:19,160 Speaker 1: states into instituting some kind of a vaccine program for children. 57 00:03:19,560 --> 00:03:23,080 Speaker 1: The data on this is very, very clear. It's actually 58 00:03:23,120 --> 00:03:28,359 Speaker 1: irrefutable that to say that children are at effectively zero risk, 59 00:03:28,400 --> 00:03:29,960 Speaker 1: I mean you have to say effectively because if you 60 00:03:30,040 --> 00:03:32,280 Speaker 1: say zero, they'll say, well, there have been you know, 61 00:03:32,360 --> 00:03:34,760 Speaker 1: one hundred children or something who we think have died 62 00:03:35,240 --> 00:03:36,680 Speaker 1: of COVID. And then we have to point out where 63 00:03:36,680 --> 00:03:38,520 Speaker 1: there are a lot of kids who have died unfortunately 64 00:03:38,520 --> 00:03:40,920 Speaker 1: from a whole range of issues, and we don't refuse 65 00:03:40,960 --> 00:03:43,000 Speaker 1: to take them, as you've said many times, to school, 66 00:03:43,200 --> 00:03:44,640 Speaker 1: or to put them in a bathtub, or to let 67 00:03:44,680 --> 00:03:47,120 Speaker 1: them go swimming in a pool. You know, life has risk. 68 00:03:47,360 --> 00:03:51,280 Speaker 1: What we've seen is as a couple of things simultaneously 69 00:03:51,320 --> 00:03:55,960 Speaker 1: because of COVID, one is the elimination of a fair 70 00:03:56,120 --> 00:03:59,280 Speaker 1: reading of risk as a matter of policy. So they 71 00:03:59,360 --> 00:04:01,720 Speaker 1: no longer actually we'll look at this and be rational. 72 00:04:01,800 --> 00:04:04,120 Speaker 1: It's well, if it saves just they'll do this with 73 00:04:04,160 --> 00:04:06,960 Speaker 1: gun control sometimes yes, if it saves just one life, 74 00:04:07,360 --> 00:04:10,880 Speaker 1: any onerous restriction and then ever even prove that it 75 00:04:10,920 --> 00:04:12,800 Speaker 1: saves one life, by the way, but just the thought. 76 00:04:13,040 --> 00:04:16,040 Speaker 1: And that's the incrementalism that they will use there. And 77 00:04:16,080 --> 00:04:18,679 Speaker 1: another thing you see this with the mask mandates because 78 00:04:18,760 --> 00:04:20,200 Speaker 1: right now, as we were talking to Clay and I, 79 00:04:20,320 --> 00:04:23,520 Speaker 1: you know, talk a lot on air off air, California 80 00:04:23,640 --> 00:04:26,520 Speaker 1: right now is more than double what Florida's caseload is. 81 00:04:26,560 --> 00:04:30,720 Speaker 1: California has mask mandates, California has vaccine mandates. San Francisco 82 00:04:30,760 --> 00:04:33,400 Speaker 1: has the mandate coming in for kids, and now all 83 00:04:33,440 --> 00:04:35,960 Speaker 1: of a sudden, Oh it's complicated, Clay. There are a 84 00:04:36,040 --> 00:04:38,760 Speaker 1: lot of factors whenever the data doesn't go the way 85 00:04:38,800 --> 00:04:43,400 Speaker 1: they want, it's a multi factor situation instead of we 86 00:04:43,480 --> 00:04:46,000 Speaker 1: can draw a firm conclusion from this. This is why 87 00:04:46,440 --> 00:04:49,200 Speaker 1: you never get anywhere with the Fauciites. This is how 88 00:04:49,200 --> 00:04:53,240 Speaker 1: they evade accountability for all their crap decision making. This 89 00:04:53,360 --> 00:04:55,800 Speaker 1: is a story that is in the Wall Street Journal, 90 00:04:55,880 --> 00:04:59,680 Speaker 1: and by the way, the two most important pages in 91 00:05:00,400 --> 00:05:03,680 Speaker 1: American life right now, I think in terms of media 92 00:05:03,760 --> 00:05:07,520 Speaker 1: life are the Wall Street Journal editorial pages. They have 93 00:05:08,160 --> 00:05:12,000 Speaker 1: in an era when everybody else has gone woke and 94 00:05:12,080 --> 00:05:14,600 Speaker 1: curled up in the fetal position and refused to look 95 00:05:14,640 --> 00:05:17,719 Speaker 1: at actual data and science. They have continued to fight 96 00:05:17,839 --> 00:05:22,640 Speaker 1: real battles on behalf of facts and presenting it to 97 00:05:23,000 --> 00:05:25,440 Speaker 1: a large audience, even if and that's what we try 98 00:05:25,440 --> 00:05:28,440 Speaker 1: to do here as well, even if it upsets some people. 99 00:05:29,120 --> 00:05:32,320 Speaker 1: This is an article from two different doctors inside the 100 00:05:32,320 --> 00:05:34,080 Speaker 1: Wall Street Journal, because I do think it's important to 101 00:05:34,120 --> 00:05:37,480 Speaker 1: share actual facts, and also we're going to have both 102 00:05:37,480 --> 00:05:39,880 Speaker 1: of these people are one of these people on doctor 103 00:05:39,960 --> 00:05:42,560 Speaker 1: Mackay who've had on the four professor at Johns Hopkins 104 00:05:42,600 --> 00:05:44,960 Speaker 1: School of Medicine. The other one is I'm not sure 105 00:05:44,960 --> 00:05:48,880 Speaker 1: how to pronounce her name, but doctor Saffier assistant professor 106 00:05:49,040 --> 00:05:54,200 Speaker 1: Sapphire like the like the jewel as an assistant professor 107 00:05:54,240 --> 00:05:58,400 Speaker 1: at Memorial Sloan Kettering Cancer Center. Um. Okay. So here 108 00:05:58,440 --> 00:05:59,680 Speaker 1: is the data. I would just want to read it 109 00:05:59,720 --> 00:06:03,679 Speaker 1: from you from the Wall Street Journal right now. There 110 00:06:03,920 --> 00:06:08,440 Speaker 1: is there are twenty eight million children buck between the 111 00:06:08,520 --> 00:06:12,800 Speaker 1: ages of five and eleven. Since COVID arrived in the 112 00:06:12,880 --> 00:06:18,880 Speaker 1: United States, ninety four kids have died with COVID. Out 113 00:06:18,920 --> 00:06:23,160 Speaker 1: of those twenty eight million, and that is far less 114 00:06:23,440 --> 00:06:26,440 Speaker 1: than would have died from being murdered than would have 115 00:06:26,480 --> 00:06:29,520 Speaker 1: died in car accidents, that would have died from drowning, 116 00:06:29,640 --> 00:06:32,599 Speaker 1: that would have died from the seasonal flu to kind 117 00:06:32,600 --> 00:06:35,720 Speaker 1: of put that into context for you. And what they 118 00:06:35,839 --> 00:06:41,159 Speaker 1: found is that there basically is no need for the 119 00:06:41,240 --> 00:06:43,919 Speaker 1: COVID vaccine at all because of this low risk. And 120 00:06:43,960 --> 00:06:47,560 Speaker 1: in fact, in the eighty page Fiser report buried in 121 00:06:47,640 --> 00:06:51,760 Speaker 1: there buck is this quote. When they studied it. If 122 00:06:51,800 --> 00:06:56,359 Speaker 1: a child had already had COVID and buck strong chance 123 00:06:56,480 --> 00:06:59,440 Speaker 1: that were over sixty percent of kids in that five 124 00:06:59,520 --> 00:07:03,600 Speaker 1: to of an age range have already had COVID. When 125 00:07:03,960 --> 00:07:08,800 Speaker 1: they analyzed this vaccine, no kid who had already had 126 00:07:08,839 --> 00:07:15,520 Speaker 1: COVID was found to have the virus. And so this 127 00:07:15,560 --> 00:07:21,000 Speaker 1: study is consistent with the study from Israel that found 128 00:07:21,120 --> 00:07:26,560 Speaker 1: natural immunity was twenty seven times as effective as vaccinated 129 00:07:26,600 --> 00:07:32,960 Speaker 1: immunity in preventing symptomatic COVID, so no cases of COVID 130 00:07:33,080 --> 00:07:35,520 Speaker 1: nineteen were observed. This is a quote from the Fiser 131 00:07:35,600 --> 00:07:39,320 Speaker 1: report in either the vaccine group or the placebo group 132 00:07:39,640 --> 00:07:44,960 Speaker 1: in participants with evidence of prior COVID infection, so sixty 133 00:07:45,000 --> 00:07:47,280 Speaker 1: percent of kids. A lot of fear out there, but 134 00:07:47,440 --> 00:07:51,000 Speaker 1: over half of kids have already had COVID, and in 135 00:07:51,040 --> 00:07:55,520 Speaker 1: the five to eleven age range, only ninety four ninety 136 00:07:55,520 --> 00:08:00,640 Speaker 1: four in the entire country have died with COVID play. 137 00:08:00,680 --> 00:08:03,760 Speaker 1: There's a combination of things going on here. One of 138 00:08:03,760 --> 00:08:06,720 Speaker 1: them is I think, and this hasn't gotten as much attention, 139 00:08:06,720 --> 00:08:09,240 Speaker 1: so I'll start with this. I think that this is 140 00:08:10,040 --> 00:08:11,600 Speaker 1: in the back of the minds of a lot of 141 00:08:11,640 --> 00:08:16,000 Speaker 1: the true Fauciites. I think this is the ultimate bend, 142 00:08:16,000 --> 00:08:19,000 Speaker 1: Theonimo moment for a lot of them. Once you've gotten 143 00:08:19,040 --> 00:08:22,120 Speaker 1: your kids vexed because the state is mandating it for 144 00:08:22,160 --> 00:08:24,240 Speaker 1: them to go to school, how are you going to 145 00:08:24,320 --> 00:08:26,560 Speaker 1: really fight back on any of this stuff? Right once 146 00:08:26,560 --> 00:08:28,600 Speaker 1: you're going to subject your five year old to the shot, 147 00:08:29,080 --> 00:08:32,120 Speaker 1: isn't it at that point? Just it's routine, right, it's 148 00:08:32,120 --> 00:08:34,160 Speaker 1: all over. You're gonna do whatever they tell you because 149 00:08:34,240 --> 00:08:36,679 Speaker 1: on that issue you cave. So what else really is there? 150 00:08:36,720 --> 00:08:40,600 Speaker 1: That's part of it? There are these hyper anxious and 151 00:08:40,640 --> 00:08:42,080 Speaker 1: there are a lot of them here in New York City, 152 00:08:42,440 --> 00:08:45,320 Speaker 1: hyper anxious parents where they just I mean, you know, 153 00:08:45,679 --> 00:08:47,720 Speaker 1: Jill Biden, do we have it? Jill Biden is going 154 00:08:47,760 --> 00:08:51,839 Speaker 1: around as part of this whole process, telling everybody that 155 00:08:52,000 --> 00:08:54,520 Speaker 1: they'll their children. This is you know, the first lady, 156 00:08:54,720 --> 00:08:57,959 Speaker 1: not an actual doctor doctor, she's like a doctor of sociology. 157 00:08:58,000 --> 00:09:01,679 Speaker 1: Do you have that one decision to protect your children 158 00:09:02,360 --> 00:09:08,240 Speaker 1: with the same vaccine that has already saved millions of lives? 159 00:09:08,280 --> 00:09:13,720 Speaker 1: Because nothing is more important than our children's help. It's 160 00:09:13,880 --> 00:09:17,320 Speaker 1: up to us to keep them safe. And with this 161 00:09:17,480 --> 00:09:21,839 Speaker 1: stock scene, we can It's true. It's just this is 162 00:09:21,880 --> 00:09:24,000 Speaker 1: the first lady who she's a doctor of education by 163 00:09:24,000 --> 00:09:25,559 Speaker 1: the way, just to be clear. So she's a you know, 164 00:09:25,640 --> 00:09:27,480 Speaker 1: she's not a doctor doctor as we all know, and 165 00:09:27,559 --> 00:09:29,160 Speaker 1: I like to not call her doctor because the lips 166 00:09:29,160 --> 00:09:32,679 Speaker 1: freak out about it. But Joe Biden here the first lady. 167 00:09:33,080 --> 00:09:35,760 Speaker 1: She's saying that it's saved millions of lives. Hasn't saved 168 00:09:35,800 --> 00:09:38,760 Speaker 1: millions of children's lives, which is who we're talking about 169 00:09:38,760 --> 00:09:41,080 Speaker 1: getting the shot. You're not even sure that it's saved 170 00:09:41,160 --> 00:09:43,960 Speaker 1: millions of lives, Pierce, Certainly, it hasn't saved millions of 171 00:09:44,000 --> 00:09:46,520 Speaker 1: lives in the inner State. No way, no way, based 172 00:09:46,520 --> 00:09:48,920 Speaker 1: on the numbers. But but this goes to they're going 173 00:09:49,000 --> 00:09:52,880 Speaker 1: after the parents, for whom they just they believe whatever 174 00:09:52,880 --> 00:09:54,720 Speaker 1: they're told. They can't think about it. But then there's 175 00:09:54,720 --> 00:09:57,440 Speaker 1: there's the final group the sheet. Then there's the final 176 00:09:57,520 --> 00:10:00,720 Speaker 1: group of adults. And you see this and some of 177 00:10:00,720 --> 00:10:04,400 Speaker 1: these viral videos, Clay like teachers in the classroom, who 178 00:10:04,440 --> 00:10:06,520 Speaker 1: are you know, you better pull your mask up over 179 00:10:06,559 --> 00:10:08,240 Speaker 1: your nose because I don't want to get sick. And 180 00:10:08,280 --> 00:10:11,400 Speaker 1: even though I'm vaccinated to the children, but they're too 181 00:10:11,440 --> 00:10:15,160 Speaker 1: cowardly to say I'm scared to be around unvaccinated kids, 182 00:10:15,200 --> 00:10:18,520 Speaker 1: So they'd prefer to pretend it's for the child's benefit. 183 00:10:18,640 --> 00:10:21,000 Speaker 1: Those are the factors that I see in play well. 184 00:10:21,040 --> 00:10:23,960 Speaker 1: I see so many of these viral videos of parents 185 00:10:23,960 --> 00:10:28,080 Speaker 1: and kids reacting with joy that the COVID vaccine still 186 00:10:28,600 --> 00:10:34,600 Speaker 1: has become an existence, and I'm filled with such I 187 00:10:34,679 --> 00:10:38,760 Speaker 1: feel so bad for the kids, Buck, because the parents 188 00:10:38,760 --> 00:10:43,160 Speaker 1: should be smarter. But as a parent, I feel so 189 00:10:43,240 --> 00:10:46,440 Speaker 1: bad for that. There are some parents out there that 190 00:10:46,600 --> 00:10:49,880 Speaker 1: have terrified their kids to such an extent of COVID 191 00:10:50,240 --> 00:10:53,200 Speaker 1: that they have some of these kids erupting in tears, 192 00:10:53,200 --> 00:10:56,000 Speaker 1: and they post these videos on social media like look 193 00:10:56,400 --> 00:10:58,559 Speaker 1: look how happy my five year old was to find 194 00:10:58,640 --> 00:11:01,960 Speaker 1: out they can finally get a COVID vaccine. I feel 195 00:11:02,000 --> 00:11:05,880 Speaker 1: so bad for those children because imagine what hell their 196 00:11:05,960 --> 00:11:10,600 Speaker 1: life has been to have thoroughly irrational parents for the 197 00:11:10,640 --> 00:11:13,680 Speaker 1: last eighteen months terrifying them them they're they're going to die. 198 00:11:13,760 --> 00:11:15,360 Speaker 1: I mean, one of the first things I did, Buck 199 00:11:16,200 --> 00:11:19,480 Speaker 1: was my kids are young. But last spring when their 200 00:11:19,520 --> 00:11:22,200 Speaker 1: schools shut down, I set down all three of my 201 00:11:22,280 --> 00:11:24,280 Speaker 1: boys at the table and I said, I'm gonna talk 202 00:11:24,280 --> 00:11:27,280 Speaker 1: to you like adults. Here is what the data reflects 203 00:11:27,400 --> 00:11:30,040 Speaker 1: in terms of who's in danger from COVID. This is 204 00:11:30,080 --> 00:11:32,440 Speaker 1: early on, when most people were still not even looking 205 00:11:32,480 --> 00:11:35,840 Speaker 1: at the data. I said, kids are not in danger, right, 206 00:11:36,040 --> 00:11:38,760 Speaker 1: you guys are going to be fine. Just try to 207 00:11:38,840 --> 00:11:42,079 Speaker 1: avoid driving your mother insane at the house because we're 208 00:11:42,120 --> 00:11:43,880 Speaker 1: all going to be around the house because everything is 209 00:11:43,920 --> 00:11:46,199 Speaker 1: shut down. But you guys are going to be fine. 210 00:11:46,280 --> 00:11:47,720 Speaker 1: You don't need to be worried about it. You don't 211 00:11:47,720 --> 00:11:49,320 Speaker 1: need to have trouble sleeping, you don't need to be 212 00:11:49,440 --> 00:11:52,160 Speaker 1: terrified of the COVID boogeyman coming out from underneath your bed. 213 00:11:53,240 --> 00:11:55,800 Speaker 1: We're going to stay away from grandma and grandpa in 214 00:11:55,960 --> 00:12:00,360 Speaker 1: that time and listen to the experts on fifty days 215 00:12:00,400 --> 00:12:03,560 Speaker 1: to slow the spread. And that's what we did. And 216 00:12:03,760 --> 00:12:08,079 Speaker 1: my kids are completely healthy and normal, And I worry 217 00:12:08,160 --> 00:12:10,040 Speaker 1: so much. And by the way, if you're terrified and 218 00:12:10,080 --> 00:12:12,280 Speaker 1: you think it makes sense to go get your kids vaccinated, 219 00:12:12,280 --> 00:12:14,559 Speaker 1: that's you're right as a parent. But I really do 220 00:12:14,640 --> 00:12:18,520 Speaker 1: worry about the emotional issues for so many kids out 221 00:12:18,559 --> 00:12:22,520 Speaker 1: there that their parents terrified them of COVID and what 222 00:12:22,600 --> 00:12:24,920 Speaker 1: it's going to be like for them in the years 223 00:12:24,960 --> 00:12:27,600 Speaker 1: ahead in their life, and how much anxiety they're going 224 00:12:27,640 --> 00:12:30,240 Speaker 1: to have that was needlessly put upon them, and how 225 00:12:30,320 --> 00:12:35,080 Speaker 1: much failure to experience life they are going to embody 226 00:12:35,160 --> 00:12:37,480 Speaker 1: because of the way that their parents raise them. I mean, 227 00:12:37,559 --> 00:12:39,000 Speaker 1: I just gotta tell you, Clay, I went, I went 228 00:12:39,040 --> 00:12:40,760 Speaker 1: to a doctor's office here in New York yesterday, just 229 00:12:40,800 --> 00:12:43,480 Speaker 1: have my ears checked. And sitting there it's kind of 230 00:12:43,520 --> 00:12:45,840 Speaker 1: a hot, warm doctor's office. Sitting there with a mask 231 00:12:45,920 --> 00:12:48,200 Speaker 1: on my face, I mean, I started to lose it. 232 00:12:48,960 --> 00:12:52,160 Speaker 1: You know, you really your anxiety level rises. Why are 233 00:12:52,240 --> 00:12:54,640 Speaker 1: are all these fights on airplanes all the time? Yeah, 234 00:12:54,679 --> 00:12:56,360 Speaker 1: it's because of masking. I mean, they don't want to 235 00:12:56,360 --> 00:12:59,520 Speaker 1: say this, but it's because people are uncomfortable and frustrated, 236 00:12:59,600 --> 00:13:02,559 Speaker 1: and and we're putting people through this and acting as 237 00:13:02,600 --> 00:13:05,440 Speaker 1: though it's not a problem. It's no big deal. That's 238 00:13:05,440 --> 00:13:07,760 Speaker 1: your patriarch. You remember a year ago they were saying 239 00:13:07,800 --> 00:13:09,599 Speaker 1: double mask right about Oh well, I guess it was 240 00:13:09,640 --> 00:13:11,840 Speaker 1: December January, sort of saying double mask if you take 241 00:13:11,880 --> 00:13:14,920 Speaker 1: it seriously, and really, what we've seen with the vaccines 242 00:13:14,960 --> 00:13:18,280 Speaker 1: for children is it's the equivalent of triple masking. Right. 243 00:13:18,840 --> 00:13:22,400 Speaker 1: Is it theoretically the case that triple masking would keep 244 00:13:22,440 --> 00:13:25,480 Speaker 1: you safer? I can't tell you it's not. Is it 245 00:13:25,520 --> 00:13:29,880 Speaker 1: insane to do that. Yes, it is Vaccinating children who 246 00:13:29,920 --> 00:13:32,080 Speaker 1: are four years old for a disease that has killed 247 00:13:32,120 --> 00:13:34,120 Speaker 1: less than a hundred of them in that age group 248 00:13:34,120 --> 00:13:36,240 Speaker 1: in the entire nation of three hundred and forty million 249 00:13:36,280 --> 00:13:39,959 Speaker 1: people is crazy. But if parents want to do that, 250 00:13:40,120 --> 00:13:43,040 Speaker 1: I suppose that's their choice. But Clay, it's going to 251 00:13:43,080 --> 00:13:44,880 Speaker 1: be a mandate, as you know, in schools in a 252 00:13:44,880 --> 00:13:47,760 Speaker 1: lot of places in New York, in California, a whole rangement. 253 00:13:47,800 --> 00:13:50,120 Speaker 1: We'll come back. We got more on this New York 254 00:13:50,240 --> 00:13:53,120 Speaker 1: versus I'm sorry, California versus Florida. How's that data looking. 255 00:13:53,200 --> 00:13:54,719 Speaker 1: We want to tell you about it, You want to 256 00:13:54,760 --> 00:13:57,160 Speaker 1: hear about it. Do something smart for yourself before the 257 00:13:57,240 --> 00:13:59,280 Speaker 1: end of this year. Take the time to investigate the 258 00:14:00,040 --> 00:14:03,080 Speaker 1: value of gold as part of your savings account or 259 00:14:03,080 --> 00:14:05,880 Speaker 1: your IRA account. This is one currency that holds its 260 00:14:05,920 --> 00:14:08,559 Speaker 1: value in the face of inflation or out of control 261 00:14:08,600 --> 00:14:11,480 Speaker 1: housing cost increases. Owning gold is as easy as ever 262 00:14:11,640 --> 00:14:14,079 Speaker 1: in terms of purchasing it or taking actual possession of it. 263 00:14:14,080 --> 00:14:16,960 Speaker 1: It's so straightforward, and it's a form of protection that's 264 00:14:17,000 --> 00:14:19,400 Speaker 1: important to have in your portfolio. I have it in 265 00:14:19,520 --> 00:14:22,440 Speaker 1: my portfolio, and I have it from the Oxford Gold Group. 266 00:14:22,720 --> 00:14:25,920 Speaker 1: Our partners that the Oxford Gold Group have precious metals 267 00:14:25,960 --> 00:14:28,680 Speaker 1: that can be delivered right to your home. Okay, this 268 00:14:28,760 --> 00:14:31,560 Speaker 1: is who you need to have making real gold delivery 269 00:14:31,760 --> 00:14:34,640 Speaker 1: to your home. It's easy, it's not complicated at all. 270 00:14:34,880 --> 00:14:36,840 Speaker 1: So have real gold delivered to your home from the 271 00:14:36,880 --> 00:14:39,840 Speaker 1: Oxford Gold Group or have it as part of your IRA. 272 00:14:40,040 --> 00:14:42,560 Speaker 1: It's just a phone call away. Eight three three four 273 00:14:42,720 --> 00:14:45,440 Speaker 1: zero four gold. Learn how you can have real gold 274 00:14:45,480 --> 00:14:48,120 Speaker 1: in your IRA and delivered to your door. That's eight 275 00:14:48,160 --> 00:14:51,360 Speaker 1: three three four zero four Gold. Eight three three four 276 00:14:51,520 --> 00:15:00,120 Speaker 1: zero four g O L. D. We are rocket and 277 00:15:00,240 --> 00:15:02,960 Speaker 1: rolling here on the Clay Travis and Buck Sexton Show. 278 00:15:03,080 --> 00:15:05,560 Speaker 1: Thanks for rolling with us on this Tuesday. Appreciate it. 279 00:15:05,560 --> 00:15:09,480 Speaker 1: Remember gonna Clay and Buck dot com for transcripts, and 280 00:15:09,560 --> 00:15:11,360 Speaker 1: also check out the podcast of the show if you 281 00:15:11,360 --> 00:15:13,000 Speaker 1: happen to miss any part of it wherever you get 282 00:15:13,040 --> 00:15:16,120 Speaker 1: your podcast. But I want to say, as a New Yorker, 283 00:15:16,160 --> 00:15:18,040 Speaker 1: I feel like I'm on the front lines of COVID 284 00:15:18,080 --> 00:15:21,120 Speaker 1: crazy here. Although California is now getting a little competitive 285 00:15:21,160 --> 00:15:25,160 Speaker 1: with us, California has decided Clay that they're gonna try 286 00:15:25,200 --> 00:15:27,240 Speaker 1: to be you know, you know that how Rohm de 287 00:15:27,360 --> 00:15:31,000 Speaker 1: santists is the beacon of COVID free or either freedom 288 00:15:31,000 --> 00:15:33,840 Speaker 1: from COVID madness. And other states have followed suit, I 289 00:15:33,880 --> 00:15:35,960 Speaker 1: think California and New York or in this you know 290 00:15:36,000 --> 00:15:38,880 Speaker 1: back and forth over who can be the biggest fauci 291 00:15:38,960 --> 00:15:42,720 Speaker 1: a lunatic state. Whe by the way, is Gavin Newsom 292 00:15:42,760 --> 00:15:44,800 Speaker 1: buck is that kind of a big s he's gonna ask. 293 00:15:44,920 --> 00:15:47,040 Speaker 1: He's kind of m ia and he just got all 294 00:15:47,160 --> 00:15:49,680 Speaker 1: days now, which is a little weird. It's been a 295 00:15:49,680 --> 00:15:51,960 Speaker 1: while he's been gone. I'm sure they'll have some bs 296 00:15:52,000 --> 00:15:54,440 Speaker 1: excuse for why he's been gone, but maybe not. Who knows. 297 00:15:54,440 --> 00:15:58,120 Speaker 1: We'll see. But in New York people often overuse the 298 00:15:58,200 --> 00:16:01,640 Speaker 1: term I think Orwellian. But when you start saying un 299 00:16:01,800 --> 00:16:06,360 Speaker 1: freedom is freedom, you're truly going into George Orwell nineteen 300 00:16:06,480 --> 00:16:11,200 Speaker 1: eighty four territory and the worst mayor in America, Bill Deblasio, 301 00:16:11,440 --> 00:16:15,680 Speaker 1: has done just that. Your point about freedom, it's very 302 00:16:15,680 --> 00:16:19,080 Speaker 1: powerful that you know what is freedom. Freedom's the ability 303 00:16:19,080 --> 00:16:21,080 Speaker 1: to go out there, live your life, have your job, 304 00:16:21,360 --> 00:16:23,680 Speaker 1: be with the people you loved. We were deprived of 305 00:16:23,720 --> 00:16:26,880 Speaker 1: that for most of two years, and vaccination actually gave 306 00:16:26,960 --> 00:16:29,640 Speaker 1: us back that freedom, and I think people are going 307 00:16:29,720 --> 00:16:33,000 Speaker 1: to realize as they see these mandates work. Wait a minute, 308 00:16:33,000 --> 00:16:38,080 Speaker 1: that's actually the thing we wanted. Ah, that's you know, 309 00:16:38,160 --> 00:16:40,520 Speaker 1: bend the knee clay and we'll give you a little bit. 310 00:16:40,560 --> 00:16:43,320 Speaker 1: We'll give you some crumbs from the freedom table and 311 00:16:43,360 --> 00:16:45,800 Speaker 1: then be thankful for what we give you that is freedom. 312 00:16:45,800 --> 00:16:48,560 Speaker 1: This is de Blasio's mantra. I think we have to 313 00:16:48,640 --> 00:16:51,320 Speaker 1: keep in mind. And my wife actually is the one 314 00:16:51,360 --> 00:16:53,440 Speaker 1: who says, hey, you should say this on the radio more. 315 00:16:54,720 --> 00:16:59,280 Speaker 1: We didn't have to do this. So many people like 316 00:16:59,400 --> 00:17:02,920 Speaker 1: Deblasi say, well, this is what we had to do 317 00:17:03,040 --> 00:17:06,120 Speaker 1: for the last two years. No, we didn't. And I'm 318 00:17:06,119 --> 00:17:09,280 Speaker 1: thinking about it in the context of Columbia basketball, the 319 00:17:09,359 --> 00:17:13,280 Speaker 1: Universe Columbia University IVY League school, they shut down their 320 00:17:13,280 --> 00:17:18,240 Speaker 1: basketball program for six hundred and twelve days. The IVY 321 00:17:18,280 --> 00:17:20,920 Speaker 1: League did not allow kids to play basketball for six 322 00:17:21,040 --> 00:17:25,159 Speaker 1: hundred and twelve days because of COVID. Other places found 323 00:17:25,160 --> 00:17:29,199 Speaker 1: out ways to get back to normalcy. So we can't 324 00:17:29,240 --> 00:17:34,520 Speaker 1: allow people to blame COVID for where we are right now. 325 00:17:34,960 --> 00:17:38,960 Speaker 1: We made a lot of bad choices and used COVID 326 00:17:39,040 --> 00:17:42,159 Speaker 1: as the justification for it. As Bill de Blasio is 327 00:17:42,200 --> 00:17:45,800 Speaker 1: still trying to do there. It's a lie, It's not true. 328 00:17:46,280 --> 00:17:49,280 Speaker 1: Talk more about this and more. But Pure Talk Cellular 329 00:17:49,359 --> 00:17:52,360 Speaker 1: has great prices now on the iPhone twelve just four 330 00:17:52,440 --> 00:17:55,919 Speaker 1: hundred and seventy nine dollars. That's a great value, great 331 00:17:55,960 --> 00:17:58,200 Speaker 1: gift for you as you roll into the holiday season. 332 00:17:58,280 --> 00:18:01,160 Speaker 1: I was texting my wife yesterday speaking of we want 333 00:18:01,200 --> 00:18:04,680 Speaker 1: to get a phone that my fifth grader can use 334 00:18:05,119 --> 00:18:07,720 Speaker 1: only when he's going to practice or he's going to 335 00:18:07,960 --> 00:18:10,360 Speaker 1: events and he may need to let us know, hey, 336 00:18:10,359 --> 00:18:12,920 Speaker 1: practice is over. Can you come get me? And we're 337 00:18:12,960 --> 00:18:16,280 Speaker 1: gonna get him a Pure Talk phone for those necessities 338 00:18:16,320 --> 00:18:19,280 Speaker 1: as well. Switching is easy. You could save up to 339 00:18:19,359 --> 00:18:23,040 Speaker 1: eight hundred dollars a year. Exact Same five G network 340 00:18:23,119 --> 00:18:25,600 Speaker 1: Exact Same Towers is one of the big carriers, but 341 00:18:25,720 --> 00:18:28,679 Speaker 1: for a heck of a lot less people will tell you, 342 00:18:28,720 --> 00:18:31,239 Speaker 1: including my own family, they will kill it for you. 343 00:18:31,520 --> 00:18:33,679 Speaker 1: They have a thirty day risk free guarantee, so you 344 00:18:33,720 --> 00:18:35,640 Speaker 1: really have no risk. You can keep your same phone, 345 00:18:35,640 --> 00:18:37,439 Speaker 1: you can keep your same number. All you have to 346 00:18:37,480 --> 00:18:40,000 Speaker 1: do is sign up dal pound two fifty say Pure 347 00:18:40,000 --> 00:18:42,840 Speaker 1: Talk fifty percent off your first month, get your phones 348 00:18:43,240 --> 00:18:52,000 Speaker 1: pound two five zero say pure talk. Today's become an 349 00:18:52,040 --> 00:18:56,359 Speaker 1: e B v IP at Clan Buck dot com. V 350 00:18:56,560 --> 00:19:01,439 Speaker 1: ips can email Clan Buck through the exclusive VIP email address, 351 00:19:01,440 --> 00:19:05,119 Speaker 1: plus watch exclusive videos for members only access to this 352 00:19:05,320 --> 00:19:09,920 Speaker 1: stack of stuff commercial free podcast said much more. Become 353 00:19:10,119 --> 00:19:13,680 Speaker 1: an EIB twenty four to seven v I P today 354 00:19:13,720 --> 00:19:17,400 Speaker 1: at Clay and Buck dot com. Welcome back in Clay, 355 00:19:17,480 --> 00:19:19,800 Speaker 1: Travis Buck, Sex and show. Appreciate all of you hanging 356 00:19:19,800 --> 00:19:22,040 Speaker 1: out with us. We're gonna talk with Bill O'Reilly a 357 00:19:22,040 --> 00:19:24,240 Speaker 1: little bit later in this show, just to like you 358 00:19:24,280 --> 00:19:27,520 Speaker 1: know where we are headed there. But you know, the 359 00:19:27,560 --> 00:19:31,120 Speaker 1: Infrastructure bill still hasn't been sawing Buck, even though it's 360 00:19:31,160 --> 00:19:33,959 Speaker 1: now been passed by the House and by the Senate, 361 00:19:34,640 --> 00:19:38,680 Speaker 1: and Biden is claiming that he's waiting until everybody can 362 00:19:38,720 --> 00:19:42,200 Speaker 1: come back from Scotland where they are. The Pelosi crew 363 00:19:42,520 --> 00:19:46,080 Speaker 1: is attending this climate How long has the Climate change conference? 364 00:19:46,160 --> 00:19:48,240 Speaker 1: By the way, Buck, this is like a three week 365 00:19:48,280 --> 00:19:50,480 Speaker 1: of it. I mean, wasn't it last week too. There's 366 00:19:50,480 --> 00:19:52,000 Speaker 1: a lot of hot air coming out of it, Clay, 367 00:19:52,920 --> 00:19:54,919 Speaker 1: not good for the environment. A lot a lot of 368 00:19:54,920 --> 00:19:57,639 Speaker 1: stuff going on there, A lot of planes, private planes 369 00:19:57,640 --> 00:20:01,760 Speaker 1: showing up, so many people that told you it wasn't 370 00:20:01,760 --> 00:20:05,040 Speaker 1: safe enough to go to a playground last year, and 371 00:20:05,119 --> 00:20:08,040 Speaker 1: now hopping on planes and go into the climate change conference. 372 00:20:08,720 --> 00:20:12,879 Speaker 1: But what is interesting here is the dilemma of what 373 00:20:13,080 --> 00:20:16,560 Speaker 1: to do exactly as it pertains to infrastructure and the 374 00:20:16,600 --> 00:20:20,560 Speaker 1: interplay with the Biden budget, the Bernie budget, however you 375 00:20:20,600 --> 00:20:23,560 Speaker 1: want to classify it. A part of me thinks Biden 376 00:20:23,760 --> 00:20:28,080 Speaker 1: is waiting to sign the bill so that the House 377 00:20:28,119 --> 00:20:34,560 Speaker 1: will pass the Build Back Better Bill, the budget bill. 378 00:20:35,640 --> 00:20:41,560 Speaker 1: In the meantime. Mayor Pete maybe the least qualified person 379 00:20:41,640 --> 00:20:45,959 Speaker 1: to ever have a cabinet level job in the United States. 380 00:20:46,440 --> 00:20:48,520 Speaker 1: And what I mean by that is he knows nothing 381 00:20:48,520 --> 00:20:52,280 Speaker 1: about transportation. He was the mayor of South Bend, Indiana. 382 00:20:52,480 --> 00:20:55,800 Speaker 1: He's never made big decisions about anything. He's been on 383 00:20:55,920 --> 00:20:59,280 Speaker 1: parental leave for a couple of months, even though he 384 00:20:59,320 --> 00:21:03,600 Speaker 1: didn't have a bay himself. And now he's back and 385 00:21:03,640 --> 00:21:07,399 Speaker 1: we've passed this huge infrastructure bill. He's already failed in 386 00:21:07,520 --> 00:21:10,600 Speaker 1: terms of supply chains, and now we're going to give 387 00:21:10,720 --> 00:21:15,040 Speaker 1: him a trillion dollars and say, hey, buddy, go build 388 00:21:15,080 --> 00:21:18,800 Speaker 1: some roads. What do you think he's focused on? How 389 00:21:18,920 --> 00:21:22,880 Speaker 1: racist bridges are? I swear to God, this is real. Listen, 390 00:21:23,359 --> 00:21:27,000 Speaker 1: how you will deconstruct the racism that was built into 391 00:21:26,960 --> 00:21:29,080 Speaker 1: the roadway? Can you talk to us about how that 392 00:21:29,160 --> 00:21:31,520 Speaker 1: would be deconstructive. Part one of that is defining those 393 00:21:31,560 --> 00:21:34,720 Speaker 1: investments that are eligible as to where we target those dollars. 394 00:21:34,760 --> 00:21:37,160 Speaker 1: You know, I'm still surprised that some people were surprised 395 00:21:37,280 --> 00:21:40,040 Speaker 1: when I pointed to the fact that if an underpass 396 00:21:40,200 --> 00:21:42,840 Speaker 1: was constructed such that a bus caring mostly black and 397 00:21:42,840 --> 00:21:44,960 Speaker 1: perto Rican kids to a beach in New York, was 398 00:21:44,960 --> 00:21:46,760 Speaker 1: designed too low for it to pass by, but that 399 00:21:46,840 --> 00:21:49,800 Speaker 1: obviously reflects racism that went into those design choices. I 400 00:21:49,800 --> 00:21:51,760 Speaker 1: don't think we have anything to lose by confronting that 401 00:21:51,960 --> 00:21:54,320 Speaker 1: simple reality, and I think we have everything to gain 402 00:21:54,680 --> 00:21:57,240 Speaker 1: by acknowledging it and then dealing with it, which is 403 00:21:57,240 --> 00:21:59,960 Speaker 1: why the reconnecting communities that billion dollars is something we 404 00:22:00,000 --> 00:22:02,200 Speaker 1: want to get to work right away, So so can 405 00:22:02,200 --> 00:22:04,320 Speaker 1: I You know, have you read The Powerbroker play, because 406 00:22:04,320 --> 00:22:06,560 Speaker 1: the Powerbroker is what he's referring to. Hear a book 407 00:22:06,600 --> 00:22:10,440 Speaker 1: by the biographer Robert Carrow. My dad's actually a big 408 00:22:10,480 --> 00:22:14,200 Speaker 1: fan of the Lyndon John amazing writer Buck the Lyndon 409 00:22:14,280 --> 00:22:17,199 Speaker 1: Johnson books are incredible. You and my dad liked the 410 00:22:17,200 --> 00:22:20,600 Speaker 1: same books, so The Power But I read The Powerbroker 411 00:22:20,640 --> 00:22:23,359 Speaker 1: many years ago and it became very popular among the 412 00:22:23,960 --> 00:22:27,840 Speaker 1: McKenzie you know Ivy and Pseudo Ivy league set. You know, 413 00:22:27,880 --> 00:22:30,280 Speaker 1: everyone's reading The Powerbroker. And it's about a guy, Robert 414 00:22:30,280 --> 00:22:32,439 Speaker 1: Moses in New York City. It's actually kind of a 415 00:22:32,440 --> 00:22:35,160 Speaker 1: pretty good band named Bob Moses too, named for him, 416 00:22:35,160 --> 00:22:37,400 Speaker 1: believe it or not. Randomly I've seen them in concert. 417 00:22:37,840 --> 00:22:40,160 Speaker 1: But Robert Moses was the guy who was the great 418 00:22:40,160 --> 00:22:42,920 Speaker 1: builder of New York in terms of Rhodes and Jones 419 00:22:43,000 --> 00:22:45,639 Speaker 1: Beach and all these different things. And he's referring to 420 00:22:46,080 --> 00:22:48,400 Speaker 1: a belief based on the papers and the and the 421 00:22:48,440 --> 00:22:52,359 Speaker 1: statements of Moses from the time that there were decisions 422 00:22:52,520 --> 00:22:55,040 Speaker 1: that were also class based, mind you, to try to 423 00:22:55,119 --> 00:22:58,439 Speaker 1: keep certain areas from being you know, having folks who 424 00:22:58,480 --> 00:23:01,240 Speaker 1: were you know, not not the ones that Moses desired 425 00:23:01,320 --> 00:23:03,840 Speaker 1: to be there for whatever reason, but Clay that was 426 00:23:03,880 --> 00:23:06,600 Speaker 1: in That was one hundred years ago, right, Yeah, you know, 427 00:23:07,119 --> 00:23:11,560 Speaker 1: so communities, transport, all these things have changed. So what 428 00:23:11,680 --> 00:23:15,280 Speaker 1: Robert Moses may have said about why a certain overpass 429 00:23:15,400 --> 00:23:19,640 Speaker 1: or underpass or whatever was a certain height in a 430 00:23:19,040 --> 00:23:22,000 Speaker 1: century A century ago doesn't really matter all that much 431 00:23:22,040 --> 00:23:24,200 Speaker 1: to right now. And this is just another time where 432 00:23:24,240 --> 00:23:27,320 Speaker 1: you find when we say that they believe everything is racist, 433 00:23:27,600 --> 00:23:30,359 Speaker 1: they really think that everything you can find racism and everything. 434 00:23:30,840 --> 00:23:33,040 Speaker 1: I mentioned these briefly in the break. There was a 435 00:23:33,080 --> 00:23:36,040 Speaker 1: whole period of time about five years ago. Memory. It 436 00:23:36,080 --> 00:23:39,520 Speaker 1: was during the latter part of the Obama administration food deserts, 437 00:23:39,880 --> 00:23:42,760 Speaker 1: and we kept being told that there was that it 438 00:23:42,800 --> 00:23:47,000 Speaker 1: was racist, that there wasn't enough access to healthy produce, 439 00:23:47,000 --> 00:23:49,400 Speaker 1: and by that I mean you know, kale and beats 440 00:23:49,440 --> 00:23:52,920 Speaker 1: and you know whatever, those kind of things in low 441 00:23:53,000 --> 00:23:56,920 Speaker 1: income and predominantly minority neighborhoods. So the federal government created 442 00:23:57,040 --> 00:23:59,719 Speaker 1: a bunch of programs. The National Bureau of Economic Research 443 00:23:59,760 --> 00:24:03,520 Speaker 1: got into this, and they started looking at if we subsidize, 444 00:24:03,560 --> 00:24:08,359 Speaker 1: if we actually provide people with greater access to and 445 00:24:08,440 --> 00:24:12,320 Speaker 1: subsidize the quote healthy food basically veggies, a lot of 446 00:24:12,359 --> 00:24:15,240 Speaker 1: veggies and fruits, will we change buying patterns? You know 447 00:24:15,280 --> 00:24:18,520 Speaker 1: what they found out, Clay, No, it did not. The 448 00:24:18,760 --> 00:24:21,560 Speaker 1: food deserts were not racist. People were buying the food 449 00:24:21,720 --> 00:24:24,720 Speaker 1: they wanted to eat and the stores were providing them 450 00:24:24,720 --> 00:24:27,720 Speaker 1: with the food that they were choosing to purchase, which 451 00:24:27,800 --> 00:24:31,879 Speaker 1: is how market based economies work, which ultimately is the 452 00:24:31,920 --> 00:24:36,520 Speaker 1: answer for almost everything. Business is in the business of 453 00:24:36,600 --> 00:24:40,640 Speaker 1: serving as many people as they possibly can the largest 454 00:24:40,640 --> 00:24:42,960 Speaker 1: amount of their product. I know this is revolutionary to 455 00:24:42,960 --> 00:24:46,040 Speaker 1: people like Bernie Sanders. It's why capitalism works because the 456 00:24:46,119 --> 00:24:50,800 Speaker 1: market is more reliable than a government entity telling us 457 00:24:50,840 --> 00:24:55,320 Speaker 1: what the market should be. And in the larger context, 458 00:24:55,359 --> 00:25:00,320 Speaker 1: to your buck, everything is racist is the entire higher 459 00:25:00,400 --> 00:25:06,720 Speaker 1: democratic platform. And I don't know how they ever leave 460 00:25:06,840 --> 00:25:12,119 Speaker 1: that platform behind until they get more and more ass 461 00:25:12,240 --> 00:25:16,560 Speaker 1: kickings and voter by voters. Right, And while everybody out 462 00:25:16,600 --> 00:25:18,680 Speaker 1: there is trying to say, now, oh, all those people 463 00:25:18,720 --> 00:25:21,840 Speaker 1: who voted for Joe Biden in twenty twenty and flipped 464 00:25:21,880 --> 00:25:24,600 Speaker 1: to Glenn Yunkin, while they're racist. All those people who 465 00:25:24,720 --> 00:25:28,720 Speaker 1: voted for Donald Trump in twenty twenty sixteen in the 466 00:25:28,720 --> 00:25:32,280 Speaker 1: Midwest that had voted for Barack Obama in twenty twelve, 467 00:25:32,359 --> 00:25:37,400 Speaker 1: Well they were racist. No, what is happening is everything 468 00:25:37,560 --> 00:25:42,040 Speaker 1: is racist doesn't work. It works on Twitter with a 469 00:25:42,160 --> 00:25:47,480 Speaker 1: small segment of the woke, primarily white liberal regime which 470 00:25:47,560 --> 00:25:50,679 Speaker 1: wants everything to be racist and for them to be 471 00:25:50,720 --> 00:25:53,639 Speaker 1: the people who see through the racism the mayor pets 472 00:25:53,760 --> 00:25:57,400 Speaker 1: of the world. But it doesn't work with Hispanic voters, 473 00:25:57,440 --> 00:25:59,960 Speaker 1: it doesn't work really with Black voters, and it's certainly 474 00:26:00,200 --> 00:26:04,359 Speaker 1: doesn't work with Asian voters. And the only way this changes, Buck, 475 00:26:04,960 --> 00:26:09,560 Speaker 1: is if we get such thorough ass kickings in twenty 476 00:26:09,600 --> 00:26:12,600 Speaker 1: twenty one, which we just had in twenty twenty two 477 00:26:12,840 --> 00:26:16,639 Speaker 1: and in twenty twenty four, that there is no legitimate 478 00:26:16,680 --> 00:26:20,960 Speaker 1: basis for Democrats to continue to follow the everything is 479 00:26:21,040 --> 00:26:27,040 Speaker 1: Racist parade. In the meantime, Thursday, Veterans Day Buck so 480 00:26:27,080 --> 00:26:30,760 Speaker 1: many ways that it's going to be celebrated and solemnized 481 00:26:30,960 --> 00:26:34,960 Speaker 1: and just honored all over this country. We know the 482 00:26:35,000 --> 00:26:38,440 Speaker 1: sacrifices veterans and their families have made to give us 483 00:26:38,440 --> 00:26:42,160 Speaker 1: the safety and security that we enjoy every single day 484 00:26:42,160 --> 00:26:45,040 Speaker 1: in this country. Tunnel of the Towers is participating this 485 00:26:45,160 --> 00:26:48,800 Speaker 1: year in Veterans Day. Their special tribute is a ceremony 486 00:26:48,840 --> 00:26:51,600 Speaker 1: that speaks the name of each member of our armed 487 00:26:51,600 --> 00:26:55,439 Speaker 1: forces that lost their life in our nation's war on terror. 488 00:26:55,960 --> 00:26:58,040 Speaker 1: This is the first time that they have done it, 489 00:26:58,119 --> 00:27:01,240 Speaker 1: and it reinforces the pledge of Tunnel to Towers. The 490 00:27:01,280 --> 00:27:05,920 Speaker 1: pledge is to never forget, never forget the sacrifice is 491 00:27:06,040 --> 00:27:09,920 Speaker 1: made by our men and women in uniform. Buck, how 492 00:27:09,960 --> 00:27:14,240 Speaker 1: can you help Tunnel to Towers further their foundation's goal? 493 00:27:14,560 --> 00:27:18,440 Speaker 1: So easy, everybody, just donate today eleven dollars a month 494 00:27:18,440 --> 00:27:21,960 Speaker 1: that t twot dot org. Just remember, this organization is 495 00:27:22,000 --> 00:27:24,800 Speaker 1: preparing to deliver mortgage free homes to families of our 496 00:27:24,840 --> 00:27:28,600 Speaker 1: fallen soldiers and first responders who can really use this 497 00:27:28,920 --> 00:27:32,159 Speaker 1: security for their families. They deserve the security of a 498 00:27:32,400 --> 00:27:35,440 Speaker 1: forever home and that is made possible by your donations. 499 00:27:35,760 --> 00:27:38,119 Speaker 1: So help Tunnel to Towers do good. Donate eleven dollars 500 00:27:38,119 --> 00:27:41,600 Speaker 1: a month that t twot dot org and Frank Siller 501 00:27:41,680 --> 00:27:44,000 Speaker 1: and a veteran recipient of one of these smart homes, 502 00:27:44,240 --> 00:27:47,160 Speaker 1: will be on our show this Thursday to talk about 503 00:27:47,160 --> 00:27:50,320 Speaker 1: the amazing work TNALA Towers Foundation is doing. But remember 504 00:27:50,359 --> 00:27:58,720 Speaker 1: today go to t twot dot org. Welcome back to 505 00:27:58,760 --> 00:28:01,720 Speaker 1: the Clay Travis Buck Sex the show. We got Bill 506 00:28:01,760 --> 00:28:03,840 Speaker 1: o'relly joining us in just a few minutes. You all 507 00:28:03,880 --> 00:28:07,800 Speaker 1: know Bill of You know he's Bill O'Riley, the author, 508 00:28:07,920 --> 00:28:10,600 Speaker 1: TV host. You all know Bill. He'll be talking to 509 00:28:10,680 --> 00:28:13,199 Speaker 1: us about the Biden administration. How do they try to 510 00:28:13,600 --> 00:28:15,480 Speaker 1: climb out of the hole they're in right now? Is 511 00:28:15,480 --> 00:28:17,040 Speaker 1: it possible? What are they going to do? What are 512 00:28:17,040 --> 00:28:20,560 Speaker 1: we seeing here? Are the socialists in their midst finally 513 00:28:20,600 --> 00:28:23,440 Speaker 1: realizing they're messing it up, They're being too obvious, people 514 00:28:23,440 --> 00:28:25,800 Speaker 1: are figuring out what's really going on here, Or they're 515 00:28:25,800 --> 00:28:27,199 Speaker 1: just gonna be able to pay off people with their 516 00:28:27,240 --> 00:28:31,120 Speaker 1: own money through spending, spending and more spending in DC 517 00:28:31,440 --> 00:28:36,560 Speaker 1: to avoid the accountability of being seen as inept by 518 00:28:36,600 --> 00:28:39,080 Speaker 1: so many. We'll get into all that, but I just 519 00:28:39,160 --> 00:28:42,040 Speaker 1: want to say this is. You know, there are sometimes 520 00:28:42,040 --> 00:28:44,520 Speaker 1: these things that I see that the Democrats are saying 521 00:28:44,600 --> 00:28:47,440 Speaker 1: and that are very prominent in there. It's very prominent 522 00:28:47,480 --> 00:28:50,280 Speaker 1: in their messaging, and I wonder to myself, I don't 523 00:28:50,360 --> 00:28:53,840 Speaker 1: understand how this is possible. They can't really think this right. 524 00:28:53,920 --> 00:28:56,560 Speaker 1: I mean, there's no way they're not in on this. 525 00:28:56,560 --> 00:28:59,720 Speaker 1: This is a con essentially, this is a game they're 526 00:28:59,720 --> 00:29:04,200 Speaker 1: playing to fool people and for the gullible. I almost 527 00:29:04,280 --> 00:29:06,960 Speaker 1: wish that that was the case instead of the possibility 528 00:29:07,000 --> 00:29:09,080 Speaker 1: that maybe they really are true believers. And there's no 529 00:29:09,120 --> 00:29:12,840 Speaker 1: better example of this than on the kind of rhetoric 530 00:29:12,920 --> 00:29:15,880 Speaker 1: they use on the issue a climate change. You know, 531 00:29:15,960 --> 00:29:19,400 Speaker 1: Obama is still the biggest brand in the Democrat Party. 532 00:29:19,440 --> 00:29:21,880 Speaker 1: He's still the biggest name, the biggest draw, much more 533 00:29:21,960 --> 00:29:24,720 Speaker 1: so even than Joe Biden as the president. We all 534 00:29:24,760 --> 00:29:27,840 Speaker 1: know this. And Obama was at that climate conference, which 535 00:29:27,880 --> 00:29:29,880 Speaker 1: is Clay pointing out. It just keeps going on and 536 00:29:29,960 --> 00:29:33,760 Speaker 1: a lot of importance from this conference, a lot of 537 00:29:33,760 --> 00:29:37,040 Speaker 1: hot gas rising from this conference, that's for sure. Here 538 00:29:37,200 --> 00:29:41,360 Speaker 1: is Obama, though, doing the real scare tactic stuff against 539 00:29:41,400 --> 00:29:47,480 Speaker 1: young people. If you are age eligible to vote the issue, 540 00:29:48,000 --> 00:29:50,400 Speaker 1: vote like your life depends on it, because it does. 541 00:29:51,400 --> 00:29:53,280 Speaker 1: I recognize that a lot of young people may be 542 00:29:53,400 --> 00:29:57,560 Speaker 1: cynical about politics. But the cold hard fact is we 543 00:29:57,600 --> 00:30:01,560 Speaker 1: will not have more ambitious climate plan ends coming out 544 00:30:01,600 --> 00:30:08,360 Speaker 1: of governments unless governments feel some pressure from voters. Now 545 00:30:08,400 --> 00:30:11,040 Speaker 1: I point this out, Clay, because yeah, we can sit 546 00:30:11,080 --> 00:30:14,040 Speaker 1: here and say this is clearly this is delusional. Right, 547 00:30:14,120 --> 00:30:16,680 Speaker 1: vote like your life depends on our climate change legislation. 548 00:30:16,920 --> 00:30:18,680 Speaker 1: The moment you start to dig into what it would 549 00:30:18,680 --> 00:30:20,560 Speaker 1: actually mean, even if they got what they want, it 550 00:30:20,560 --> 00:30:23,640 Speaker 1: wouldn't stop what they think is happening with CO two 551 00:30:23,680 --> 00:30:25,920 Speaker 1: and the rise of the seas, and the temperate wouldn't 552 00:30:25,920 --> 00:30:28,000 Speaker 1: even work if we did the things they say. I 553 00:30:28,040 --> 00:30:30,080 Speaker 1: think it's so important because one, yes, we have to 554 00:30:30,120 --> 00:30:34,000 Speaker 1: mock them for their idiocy, but also you have to 555 00:30:34,040 --> 00:30:35,640 Speaker 1: take this into account. These are the same people that 556 00:30:35,720 --> 00:30:38,440 Speaker 1: want you to be vaccinating your kids because of the science. 557 00:30:38,440 --> 00:30:40,200 Speaker 1: He's the same people I think you can spend unlimited 558 00:30:40,200 --> 00:30:43,240 Speaker 1: amounts of money. They have horrible judgments. I mean, people 559 00:30:43,240 --> 00:30:45,920 Speaker 1: that believe this have horrible judgment on other things too. 560 00:30:46,480 --> 00:30:52,120 Speaker 1: Climate deaths have declined massively over There's a good article 561 00:30:52,160 --> 00:30:54,240 Speaker 1: in the Wall Street Journal maybe last week or the 562 00:30:54,240 --> 00:30:57,040 Speaker 1: week before, looking at the number of people who are 563 00:30:57,200 --> 00:31:02,120 Speaker 1: dying because of weather conditions, and it has plummeted over 564 00:31:02,160 --> 00:31:05,760 Speaker 1: the last fifty or sixty years. So vote like your 565 00:31:05,800 --> 00:31:10,160 Speaker 1: life depends on it is not statistically supported by any 566 00:31:10,240 --> 00:31:15,040 Speaker 1: objective measurable data when it comes to climate change and buck. 567 00:31:15,080 --> 00:31:16,920 Speaker 1: I want to circle back around again for a moment 568 00:31:17,000 --> 00:31:20,680 Speaker 1: here on that bridge. Let's say that whoever made that 569 00:31:20,760 --> 00:31:25,840 Speaker 1: bridge is racist. What do you do is the idea 570 00:31:25,880 --> 00:31:28,600 Speaker 1: that you would tear down that bridge and build it 571 00:31:28,720 --> 00:31:32,040 Speaker 1: a little bit taller so that buses could fit their 572 00:31:32,080 --> 00:31:38,280 Speaker 1: way through more easily. Are we going to spend billions 573 00:31:38,280 --> 00:31:44,320 Speaker 1: of dollars tearing down perfectly good bridges because somebody eighty 574 00:31:44,400 --> 00:31:48,160 Speaker 1: years ago made them a foot shorter than they otherwise 575 00:31:48,240 --> 00:31:52,440 Speaker 1: would have because they were motivated in some way by race. 576 00:31:53,040 --> 00:31:57,360 Speaker 1: Even if you accept the objective facts pattern here, which 577 00:31:57,400 --> 00:32:02,040 Speaker 1: I'm not saying that I do, what is the conclusion 578 00:32:02,680 --> 00:32:06,360 Speaker 1: that makes any kind of sense from an equitable basis? 579 00:32:06,400 --> 00:32:09,640 Speaker 1: You tear down the bridge and build it higher, so 580 00:32:09,760 --> 00:32:12,720 Speaker 1: you have a perfectly fungible, functional bridge that's paid for 581 00:32:12,840 --> 00:32:15,960 Speaker 1: by taxpayer money, and you tear it down. And I mean, 582 00:32:16,000 --> 00:32:17,360 Speaker 1: the reason why I bring this up is because I 583 00:32:17,360 --> 00:32:21,680 Speaker 1: think it's a metaphor of a larger context. Here there's 584 00:32:21,720 --> 00:32:23,640 Speaker 1: a difference. I would give an example here buck in 585 00:32:23,680 --> 00:32:28,560 Speaker 1: my backyard. We have a Confederate statue in Franklin, Tennessee. 586 00:32:28,920 --> 00:32:33,080 Speaker 1: In the roundabout where I live. They added a new 587 00:32:33,200 --> 00:32:38,760 Speaker 1: statue to represent black soldiers that also fought in the 588 00:32:38,800 --> 00:32:42,680 Speaker 1: Civil War near the same roundabout. That to me seems 589 00:32:42,680 --> 00:32:46,480 Speaker 1: like a reasonable solution, right, instead of tearing something down, 590 00:32:47,160 --> 00:32:50,120 Speaker 1: you make a change to something else going forward. If 591 00:32:50,160 --> 00:32:53,160 Speaker 1: you're concerned about the message that you are sending historically. 592 00:32:53,640 --> 00:32:56,480 Speaker 1: But it seems to me very much that by and 593 00:32:56,640 --> 00:32:59,000 Speaker 1: large what Democrats are focused on, and tell me where 594 00:32:59,000 --> 00:33:02,960 Speaker 1: I'm missing this buck is tearing things down and not 595 00:33:03,040 --> 00:33:06,400 Speaker 1: having anything to replace them with that is anywhere near 596 00:33:06,520 --> 00:33:10,240 Speaker 1: as good as what they tore down. And that bridge example, 597 00:33:10,280 --> 00:33:12,440 Speaker 1: when you're trying to call a bridge racist, or when 598 00:33:12,480 --> 00:33:14,600 Speaker 1: you're saying you have to vote like your life depends 599 00:33:14,640 --> 00:33:18,360 Speaker 1: on it for climate change, these are pleased to emotions 600 00:33:18,680 --> 00:33:22,239 Speaker 1: without any logical basis in fact underlying them. I mean 601 00:33:22,280 --> 00:33:24,880 Speaker 1: that was also just Mayor Pete who knows nothing of 602 00:33:24,920 --> 00:33:30,360 Speaker 1: an infrastructure. He's way over trying to show off people. 603 00:33:30,760 --> 00:33:32,720 Speaker 1: He's had all sorts of issues with black people not 604 00:33:32,760 --> 00:33:36,200 Speaker 1: supporting him. There was a shooting in South Bends. He's 605 00:33:36,240 --> 00:33:38,360 Speaker 1: the guy who's mister yeah, he's mister like, I'm going 606 00:33:38,440 --> 00:33:41,000 Speaker 1: to prove that. I'm so concerned about racism a racism 607 00:33:41,040 --> 00:33:43,560 Speaker 1: all the time. But you know, they they have reached 608 00:33:43,600 --> 00:33:45,400 Speaker 1: the point I think, I mean, the Bide administration is 609 00:33:45,480 --> 00:33:49,160 Speaker 1: running very close up against that that phase in people's 610 00:33:49,200 --> 00:33:52,480 Speaker 1: thinking where they they they talk about race and play 611 00:33:52,480 --> 00:33:55,200 Speaker 1: the race card so much as a political ploy that 612 00:33:55,320 --> 00:33:59,720 Speaker 1: I do think it's losing. It's the people are at 613 00:33:59,720 --> 00:34:01,520 Speaker 1: a point point now where they're starting to say, hold 614 00:34:01,600 --> 00:34:04,760 Speaker 1: on a second, why why is it that everything with 615 00:34:04,800 --> 00:34:08,040 Speaker 1: these Democrats somehow always comes down to race. You'll notice 616 00:34:08,080 --> 00:34:12,200 Speaker 1: that when they look at like like data on masks 617 00:34:12,239 --> 00:34:14,319 Speaker 1: county to county, all of a sudden it's well, there 618 00:34:14,360 --> 00:34:16,600 Speaker 1: are many, many, many factors. In fact, there are so 619 00:34:16,640 --> 00:34:19,360 Speaker 1: many factors because what you see is that one county 620 00:34:19,360 --> 00:34:22,239 Speaker 1: another county doesn't matter. Mandate, no mandates that they go 621 00:34:22,280 --> 00:34:24,800 Speaker 1: with the many factor analysis as I was mentioning before. 622 00:34:25,360 --> 00:34:29,200 Speaker 1: But somehow, if they can find any tie in either 623 00:34:29,280 --> 00:34:32,360 Speaker 1: historically or at present to race and racism in a 624 00:34:32,400 --> 00:34:35,760 Speaker 1: subject clay that is far and away always the most 625 00:34:35,800 --> 00:34:40,200 Speaker 1: important point of focus for Democrats because they feel so 626 00:34:40,920 --> 00:34:42,920 Speaker 1: self righteous about it, right, They feel like, well, we're 627 00:34:42,920 --> 00:34:45,640 Speaker 1: the ones who are identifying this. Therefore were the good 628 00:34:45,680 --> 00:34:48,359 Speaker 1: people in this equation, and it doesn't matter where it's 629 00:34:48,440 --> 00:34:52,160 Speaker 1: even on infrastructure, even there is a full on plan. 630 00:34:53,040 --> 00:34:56,520 Speaker 1: As you know, tree equity is a real thing. They're 631 00:34:56,560 --> 00:34:58,480 Speaker 1: going to make sure that there are neighborhoods that have 632 00:34:58,640 --> 00:35:01,440 Speaker 1: because they say, well, some neighborhood more trees than other neighborhoods, 633 00:35:01,480 --> 00:35:05,799 Speaker 1: and there's a socioeconomic dimension to it well, okay, I 634 00:35:05,880 --> 00:35:08,359 Speaker 1: also think that the people in those neighborhoods without enough 635 00:35:08,400 --> 00:35:13,759 Speaker 1: trees would like safer streets, less gun violence, more jobs, 636 00:35:14,320 --> 00:35:18,920 Speaker 1: better you know, better options too if they want to 637 00:35:18,960 --> 00:35:21,640 Speaker 1: move and not have to deal with all the regulations 638 00:35:21,680 --> 00:35:24,759 Speaker 1: for their businesses, and you know that would be more important. 639 00:35:25,080 --> 00:35:27,560 Speaker 1: But tree equity makes people feel good. You see the 640 00:35:27,640 --> 00:35:29,480 Speaker 1: people at the top, they can talk about how they're 641 00:35:29,480 --> 00:35:31,400 Speaker 1: making sure that everyone has the same amount of trees 642 00:35:31,400 --> 00:35:34,480 Speaker 1: in their neighborhood. By the way, Buck Ali, our producer, 643 00:35:34,560 --> 00:35:36,040 Speaker 1: sent this to me because I was reading it. The 644 00:35:36,080 --> 00:35:40,840 Speaker 1: headline is worse safer from climate disasters than ever before, 645 00:35:41,320 --> 00:35:44,840 Speaker 1: Though it receives little mention from activists or the media, 646 00:35:45,040 --> 00:35:49,919 Speaker 1: weather related deaths have fallen dramatically, and in fact death 647 00:35:50,040 --> 00:35:54,120 Speaker 1: tolls people are safer from climate related disasters than ever before, 648 00:35:54,200 --> 00:35:57,160 Speaker 1: So vote like your life depends on it. The data 649 00:35:57,200 --> 00:36:01,839 Speaker 1: reflects that never have we been safer climate disasters than 650 00:36:02,040 --> 00:36:05,200 Speaker 1: we are today. There's actually now an inverse relationship between 651 00:36:05,680 --> 00:36:10,440 Speaker 1: how much risk you're at from climate disasters you know, tornadoes, hurricanes, etc. 652 00:36:11,200 --> 00:36:14,319 Speaker 1: And how freaked out and hysterical the Democrats get over 653 00:36:14,360 --> 00:36:16,719 Speaker 1: the issue. The safer we get the crazier. They get 654 00:36:16,719 --> 00:36:18,719 Speaker 1: about how you need to be scared. That's the way 655 00:36:18,760 --> 00:36:20,640 Speaker 1: this goes. That's the same thing, by the way, for 656 00:36:20,680 --> 00:36:23,200 Speaker 1: COVID and children. It's the same thing for police shootings. 657 00:36:23,320 --> 00:36:25,760 Speaker 1: When you actually look at the data. Almost everything Democrats 658 00:36:25,800 --> 00:36:28,200 Speaker 1: claim it is gonna kill you is a line. We 659 00:36:28,360 --> 00:36:31,120 Speaker 1: got Bill O'Reilly coming up here. He's gonna drop some 660 00:36:31,160 --> 00:36:35,080 Speaker 1: truth bombs on what's happening with this administration. We're talking 661 00:36:35,120 --> 00:36:38,440 Speaker 1: about that, COVID, the border bill is going to be 662 00:36:38,480 --> 00:36:42,919 Speaker 1: quite a show. Stick around for that and more. You're 663 00:36:42,960 --> 00:36:46,040 Speaker 1: listening to Clay Travis send buck sex to fund the 664 00:36:46,160 --> 00:36:47,560 Speaker 1: EIB Network.