1 00:00:00,080 --> 00:00:02,560 Speaker 1: Third hour of Clay and Bucks starts right now. Everybody. 2 00:00:02,600 --> 00:00:07,520 Speaker 1: We have Florida Surgeon General, doctor Joseph Latipo with us. Now. 3 00:00:07,560 --> 00:00:12,200 Speaker 1: He's got a book out, Transcend Fear, a blueprint fund 4 00:00:12,640 --> 00:00:17,040 Speaker 1: blueprint for mindful leadership in public health, which been out 5 00:00:17,079 --> 00:00:20,079 Speaker 1: for a couple of months, Doctor Latipo. Honor to have 6 00:00:20,079 --> 00:00:23,000 Speaker 1: you on, sir. Thanks for making time for us. Hey, 7 00:00:23,040 --> 00:00:25,400 Speaker 1: thanks for having me on. Happy to be with you 8 00:00:25,400 --> 00:00:29,280 Speaker 1: guys right before Thanksgiving, Yes, sir. And one thing we 9 00:00:29,320 --> 00:00:32,680 Speaker 1: are not thankful for is doctor Anthony Fauci's leadership during 10 00:00:32,680 --> 00:00:37,840 Speaker 1: the pandemic. You may have seen him giving his farewell 11 00:00:37,880 --> 00:00:41,320 Speaker 1: speech of sorts today from the White House. What is 12 00:00:41,360 --> 00:00:44,240 Speaker 1: I mean? You're a Harvard trained MD, You're the surgeon 13 00:00:44,280 --> 00:00:46,839 Speaker 1: General of the state of Florida. You've looked at the 14 00:00:46,960 --> 00:00:51,120 Speaker 1: data for your state of over twenty million people extensively. 15 00:00:51,600 --> 00:00:54,840 Speaker 1: When doctor Fauci says that you should be proud to 16 00:00:54,880 --> 00:00:57,400 Speaker 1: mask up when you walk into places, that people should 17 00:00:57,400 --> 00:01:00,200 Speaker 1: consider masking, that they should all get the vaccine, that 18 00:01:00,200 --> 00:01:03,760 Speaker 1: the vaccine will keep anyone from dying. And there's a 19 00:01:03,760 --> 00:01:06,040 Speaker 1: whole lot more we could say. What do you say 20 00:01:06,080 --> 00:01:11,360 Speaker 1: as a medical professional? I say that I am stunned 21 00:01:11,600 --> 00:01:16,600 Speaker 1: by doctor Fauci's inability to adapt to data. You know. 22 00:01:16,680 --> 00:01:20,160 Speaker 1: In his comments, he said something about how it's too 23 00:01:20,160 --> 00:01:23,800 Speaker 1: bad that people aren't getting these COVID nineteen vaccines, or 24 00:01:23,840 --> 00:01:26,880 Speaker 1: for the people who aren't, most people have, but for 25 00:01:26,920 --> 00:01:30,560 Speaker 1: the people who aren't, he hates to see them get infected. Well, 26 00:01:30,600 --> 00:01:33,040 Speaker 1: then he really ought not want them to get because 27 00:01:33,400 --> 00:01:37,800 Speaker 1: as every as very plainly clear, their protection from infection 28 00:01:37,880 --> 00:01:42,920 Speaker 1: wanes rapidly. And that he's still not acknowledging that and 29 00:01:43,080 --> 00:01:47,480 Speaker 1: still playing mask, you know, charade mask. I don't know. 30 00:01:47,600 --> 00:01:54,080 Speaker 1: Whatever this silly masquerade is with masks is just it's 31 00:01:54,120 --> 00:01:57,280 Speaker 1: a it's a testament of why he cannot leave fast enough. 32 00:01:58,440 --> 00:02:01,120 Speaker 1: Doctor A. Lattipo, appreciate you joining us. This is clay. 33 00:02:01,200 --> 00:02:04,480 Speaker 1: Doctor Fauci also said that he thinks people should test 34 00:02:05,080 --> 00:02:07,920 Speaker 1: for COVID before they get together with their friends and 35 00:02:07,960 --> 00:02:11,640 Speaker 1: family for Thanksgiving. It is two days until Thanksgiving. I 36 00:02:11,680 --> 00:02:14,320 Speaker 1: can guarantee you that the Travis family will not be 37 00:02:14,440 --> 00:02:18,400 Speaker 1: testing before we have Thanksgiving dinner. You've got I think 38 00:02:18,400 --> 00:02:23,200 Speaker 1: two kids, maybe three will the Lattipo family. You are 39 00:02:23,200 --> 00:02:26,080 Speaker 1: obviously in a steam physician, will you be doing COVID 40 00:02:26,080 --> 00:02:29,600 Speaker 1: tests before you sit down for Thanksgiving dinner. The only 41 00:02:29,600 --> 00:02:32,120 Speaker 1: thing is going to be tested this week is going 42 00:02:32,200 --> 00:02:35,440 Speaker 1: to be my patience because our three boys are going 43 00:02:35,480 --> 00:02:39,560 Speaker 1: to be running all around with you know, pumps full 44 00:02:39,600 --> 00:02:42,040 Speaker 1: of yummy pumpkin pie from my wife and all that 45 00:02:42,080 --> 00:02:46,000 Speaker 1: good stuff. You know, it's really sad. It's just a 46 00:02:46,160 --> 00:02:48,840 Speaker 1: he has a right to believe that, of course, but 47 00:02:48,960 --> 00:02:52,600 Speaker 1: it's just a testament to how sad his vision of 48 00:02:52,720 --> 00:02:56,760 Speaker 1: life is. I mean, you can't just enjoy the beautiful 49 00:02:56,800 --> 00:02:59,560 Speaker 1: time with people you love and care about. You have 50 00:02:59,639 --> 00:03:03,480 Speaker 1: to think about testing and what maybe even masking or 51 00:03:03,480 --> 00:03:08,280 Speaker 1: who knows whatever whatever else he's suggesting before Thanksgiving. It's sad, 52 00:03:08,440 --> 00:03:11,120 Speaker 1: and yeah, I feel in someone. I feel bad for 53 00:03:11,200 --> 00:03:14,720 Speaker 1: him that that's how he sees Thanksgiving. I mean, it's sad. 54 00:03:15,639 --> 00:03:18,480 Speaker 1: Speaking of Florida, certain general doctor Latipo and his book 55 00:03:18,520 --> 00:03:21,920 Speaker 1: has Transcend Fear, a Blueprint for Mindful Leadership in Public Health. 56 00:03:22,000 --> 00:03:26,880 Speaker 1: Factor Latipo have a lot of doctors come forward. I mean, 57 00:03:26,880 --> 00:03:28,520 Speaker 1: I would assume it's easier for them in Florida than 58 00:03:28,520 --> 00:03:30,360 Speaker 1: it is in other places. I'm in Florida right now 59 00:03:31,040 --> 00:03:34,359 Speaker 1: and said that they're going to stand against some of 60 00:03:34,400 --> 00:03:37,760 Speaker 1: the madness that they're not going to pretend like the 61 00:03:38,520 --> 00:03:41,440 Speaker 1: establishment experts got everything right and that we should all 62 00:03:41,440 --> 00:03:44,360 Speaker 1: still go into every hospital with a little cloth mask 63 00:03:44,480 --> 00:03:46,160 Speaker 1: on all the time and all this stuff. I mean, 64 00:03:46,320 --> 00:03:48,640 Speaker 1: have you seen a change in the mentality of a 65 00:03:48,680 --> 00:03:51,520 Speaker 1: lot of your fellow physicians over let's say the last 66 00:03:51,600 --> 00:03:55,360 Speaker 1: year or so, as we've really seen everything that we 67 00:03:55,360 --> 00:03:59,560 Speaker 1: were told by the Fauci apparatus and the Biden administration 68 00:03:59,720 --> 00:04:03,880 Speaker 1: just not actually happen. I mean, everything fell apart. I'm 69 00:04:03,880 --> 00:04:05,520 Speaker 1: going to give you what I think might be a 70 00:04:05,520 --> 00:04:09,480 Speaker 1: surprising answer, and that answer is no. And what the 71 00:04:09,520 --> 00:04:12,800 Speaker 1: reason it's know is because it's not new. Most of 72 00:04:12,840 --> 00:04:15,960 Speaker 1: the doctors over the past year who have opposed these policies, 73 00:04:16,000 --> 00:04:20,000 Speaker 1: they haven't changed. They've known that we've done many trials 74 00:04:19,480 --> 00:04:23,560 Speaker 1: of masks and they just have generally not been effective. 75 00:04:23,680 --> 00:04:28,040 Speaker 1: They've known that the vaccines aren't doing a good job 76 00:04:28,040 --> 00:04:32,880 Speaker 1: at preventing infection, but they are afraid to speak because 77 00:04:32,920 --> 00:04:37,559 Speaker 1: of the repercussions. And that's really the issue. That's what's 78 00:04:37,600 --> 00:04:41,080 Speaker 1: behind it, and there are consequences and it's it's a 79 00:04:41,200 --> 00:04:44,560 Speaker 1: very real thing. You've got boards of medicine trying to 80 00:04:44,720 --> 00:04:47,920 Speaker 1: strip doctors of their license, not because of anything they 81 00:04:47,920 --> 00:04:51,120 Speaker 1: did with their clinical care, but because they said the 82 00:04:51,279 --> 00:04:54,840 Speaker 1: quote unquote wrong thing on Facebook or Twitter. And that's 83 00:04:54,880 --> 00:04:58,960 Speaker 1: the reality. That's the reality that physicians are living with. 84 00:04:59,040 --> 00:05:01,719 Speaker 1: I'm sure you're familiar with the California law that was 85 00:05:01,800 --> 00:05:06,640 Speaker 1: passed restricting essentially threatening to punish doctors for saying the 86 00:05:06,680 --> 00:05:10,400 Speaker 1: wrong things about one specific issue, which is COVID nineteen. 87 00:05:10,800 --> 00:05:16,920 Speaker 1: So unfortunately, no, people's opinions haven't changed, but even more unfortunately, 88 00:05:17,320 --> 00:05:20,960 Speaker 1: a lot of doctors who are totally opposed to what 89 00:05:21,040 --> 00:05:27,320 Speaker 1: doctor Fauchisman saying are still afraid to speak up. Doctor Latipo, 90 00:05:27,640 --> 00:05:31,120 Speaker 1: I'm sure you have seen speaking on that fear. California 91 00:05:31,200 --> 00:05:34,000 Speaker 1: has tried to pass a law, and you moved from 92 00:05:34,040 --> 00:05:37,200 Speaker 1: California to the Free State of Florida, if I remember correctly, 93 00:05:37,720 --> 00:05:40,440 Speaker 1: California is trying to pass a law that could create 94 00:05:40,560 --> 00:05:46,480 Speaker 1: consequences for medical professionals who speak out against whatever the 95 00:05:46,520 --> 00:05:50,640 Speaker 1: preferred sciences at the moment. I'm just curious in general. 96 00:05:50,680 --> 00:05:53,840 Speaker 1: You probably remember when Fauci said, I am the science 97 00:05:54,400 --> 00:05:59,080 Speaker 1: isn't science about questioning everything? How quickly have we forgotten 98 00:05:59,120 --> 00:06:01,560 Speaker 1: that that's the prime mery goal of scientists is to 99 00:06:01,800 --> 00:06:06,280 Speaker 1: rigorously question everything lest you believe things that are untrue. 100 00:06:06,600 --> 00:06:08,840 Speaker 1: And how scary is it that we're trying to pass 101 00:06:09,000 --> 00:06:13,279 Speaker 1: laws now to essentially keep medical professionals from ever questioning 102 00:06:13,320 --> 00:06:18,560 Speaker 1: the consensus opinion. Well, it's terrible. It's terrible, and that 103 00:06:18,720 --> 00:06:21,840 Speaker 1: is exactly I mean that is at the core of science, 104 00:06:22,200 --> 00:06:27,880 Speaker 1: is asking questions and debating and bringing evidence and seeing 105 00:06:27,880 --> 00:06:32,080 Speaker 1: how things shake out, being curious that those are core 106 00:06:32,440 --> 00:06:37,520 Speaker 1: tenets of science and they're things that motivated people like 107 00:06:37,640 --> 00:06:41,320 Speaker 1: me and many other people to pursue science. And unfortunately, 108 00:06:41,360 --> 00:06:45,160 Speaker 1: what's happening in California is they're trying to rewrite reality 109 00:06:45,560 --> 00:06:50,839 Speaker 1: to match their dystopian fantasy. And that's essentially what's happening, 110 00:06:50,920 --> 00:06:55,520 Speaker 1: and hopefully people will just realize that it's total nonsense 111 00:06:55,520 --> 00:06:58,800 Speaker 1: that they're doing there. It's being a doctor Joseph Latipost, 112 00:06:58,800 --> 00:07:02,360 Speaker 1: Surgeon General of the State of Florida, and doctor Latipo 113 00:07:03,040 --> 00:07:07,160 Speaker 1: if somebody was willing to let's say, somebody out there thinks, 114 00:07:07,200 --> 00:07:10,000 Speaker 1: you know, wearing two masks, because because Fauci says two 115 00:07:10,000 --> 00:07:12,000 Speaker 1: masks are great, it's going to keep them safe. But 116 00:07:12,040 --> 00:07:14,120 Speaker 1: they're at least willing to look at what data you 117 00:07:14,160 --> 00:07:17,600 Speaker 1: have access to say, when it came to mask mandates 118 00:07:17,840 --> 00:07:21,720 Speaker 1: in schools, we're two years into this, what could you 119 00:07:21,840 --> 00:07:24,440 Speaker 1: point them to? What could you tell them about the 120 00:07:24,560 --> 00:07:29,120 Speaker 1: real numbers that you saw in Florida during now two 121 00:07:29,200 --> 00:07:32,840 Speaker 1: full years of data collection when it came to schools 122 00:07:32,840 --> 00:07:37,360 Speaker 1: that required masks versus schools that did not. The Florida 123 00:07:37,440 --> 00:07:41,800 Speaker 1: data has definitely been supportive of the fact that in 124 00:07:42,040 --> 00:07:46,880 Speaker 1: schools these masks are doing basically nothing. And there are 125 00:07:46,880 --> 00:07:49,760 Speaker 1: other studies. There's a doctor in California, doctor Tracy Hog, 126 00:07:49,880 --> 00:07:53,200 Speaker 1: that sent a ton of research on masks. She's debunked 127 00:07:53,200 --> 00:07:56,400 Speaker 1: one of the CDC studies where the CDC reported that 128 00:07:56,840 --> 00:07:59,360 Speaker 1: the masks were effective when they compared a couple of 129 00:07:59,560 --> 00:08:02,880 Speaker 1: schools the stricks. But then she looked and found it 130 00:08:02,960 --> 00:08:06,280 Speaker 1: basically actually, if you look further, they were only it 131 00:08:06,440 --> 00:08:08,760 Speaker 1: only looked that way because of the specific period of 132 00:08:08,800 --> 00:08:11,360 Speaker 1: time to the CDC. Look, why did they look during 133 00:08:11,400 --> 00:08:13,520 Speaker 1: that time? Only? Who knows? It's not that they were 134 00:08:13,520 --> 00:08:15,920 Speaker 1: trying to put their finger on the scale, is it? So? 135 00:08:16,320 --> 00:08:20,000 Speaker 1: It's really nonsense. The air goes around, guys, if you're 136 00:08:20,000 --> 00:08:22,080 Speaker 1: in a room, whether you wear the mask or not, 137 00:08:22,200 --> 00:08:26,400 Speaker 1: the air is coming out. And there's even a randomized 138 00:08:26,440 --> 00:08:29,239 Speaker 1: clinical trial that shows harms, believe it or not, harms 139 00:08:29,280 --> 00:08:33,160 Speaker 1: associated with cloth masks and healthcare workers. So it's it's 140 00:08:33,240 --> 00:08:38,760 Speaker 1: it's just a total barrel of nonsense, just complete nonsense, 141 00:08:39,200 --> 00:08:42,600 Speaker 1: this mask obsession, and they cannot die soon enough. But 142 00:08:42,760 --> 00:08:46,040 Speaker 1: unfortunately many of my colleagues are trying to revive it 143 00:08:46,320 --> 00:08:49,240 Speaker 1: this winter. Yeah, and so that's the question that Buck 144 00:08:49,240 --> 00:08:51,240 Speaker 1: and I have been asking, how does this end? And 145 00:08:51,600 --> 00:08:53,840 Speaker 1: that's the question we would ask Fauci if he would 146 00:08:53,840 --> 00:08:58,400 Speaker 1: ever come on with us. You're saying, hey, this holiday season, 147 00:08:58,880 --> 00:09:01,880 Speaker 1: I believe this is now the third Thanksgiving we've had 148 00:09:01,920 --> 00:09:05,040 Speaker 1: basically since COVID started. If I'm doing the math correctly, 149 00:09:06,040 --> 00:09:08,120 Speaker 1: Fauci saying, you still need to take a COVID test. 150 00:09:08,240 --> 00:09:10,959 Speaker 1: You should still be wearing masks. If you're doing this 151 00:09:11,000 --> 00:09:13,760 Speaker 1: in year three of COVID, How does it ever end? 152 00:09:14,040 --> 00:09:17,120 Speaker 1: Will it ever end? And are you concerned? I think 153 00:09:17,160 --> 00:09:18,760 Speaker 1: you are, just based on the way that you answer 154 00:09:18,840 --> 00:09:21,720 Speaker 1: that question, doctor Latipo, that we can't just live and 155 00:09:21,800 --> 00:09:25,280 Speaker 1: let live, because the people who are still wearing masks, 156 00:09:25,440 --> 00:09:28,960 Speaker 1: if they could, would demand that all of us wear masks, 157 00:09:28,960 --> 00:09:31,679 Speaker 1: including two and three year olds, the minute that they 158 00:09:31,679 --> 00:09:35,800 Speaker 1: have the power to do so well, You're you are 159 00:09:35,840 --> 00:09:40,240 Speaker 1: dead on there, There's no question about that. And I 160 00:09:40,280 --> 00:09:43,240 Speaker 1: think people first of all, I think people just need 161 00:09:43,280 --> 00:09:50,360 Speaker 1: to really be acquainted comfortable with the scientific data from 162 00:09:50,400 --> 00:09:55,600 Speaker 1: clinical trials. These these advocates always point to these observational 163 00:09:55,640 --> 00:09:59,120 Speaker 1: studies of the CDC quotes, but clinical trials are really 164 00:09:59,160 --> 00:10:03,760 Speaker 1: the gold standard and these masks. Masks have done terrible 165 00:10:04,240 --> 00:10:07,920 Speaker 1: almost in all of these clinical trials. So people need 166 00:10:07,960 --> 00:10:11,120 Speaker 1: to feel comfortable first of all that they really, on 167 00:10:11,200 --> 00:10:15,600 Speaker 1: a scientific basis, they're doing little to nothing. And then 168 00:10:15,679 --> 00:10:18,320 Speaker 1: the second part is just deciding that you're not going 169 00:10:18,360 --> 00:10:22,600 Speaker 1: to participate in these charades. And that's what needs to happen. 170 00:10:22,679 --> 00:10:25,000 Speaker 1: And I think if enough of us do that, they'll 171 00:10:25,320 --> 00:10:28,280 Speaker 1: they'll stop trying to work their weasel their way back 172 00:10:28,320 --> 00:10:33,439 Speaker 1: in with their mask recommendations which later become strong recommendations, 173 00:10:33,480 --> 00:10:38,400 Speaker 1: which later become mandates, and all the nonsense that we've 174 00:10:38,440 --> 00:10:42,360 Speaker 1: seen over the past two years. Florida Certain General doctor 175 00:10:42,520 --> 00:10:46,800 Speaker 1: Latipo his book Transcend Fear at a Blueprint for Mindful 176 00:10:46,920 --> 00:10:50,800 Speaker 1: Leadership in Public Health. Doctor Latipo thanks for being with us. Okay, 177 00:10:50,800 --> 00:10:54,000 Speaker 1: thanks so much, guys. Happy Thanksgiving guys, you too, no doubt, 178 00:10:54,240 --> 00:10:57,440 Speaker 1: Happy Thanksgiving to you as well. And thank goodness that 179 00:10:57,480 --> 00:10:59,240 Speaker 1: if you live in Florida you're still going to have 180 00:10:59,280 --> 00:11:02,240 Speaker 1: some freedom. But think about how crazy this is. There 181 00:11:02,400 --> 00:11:06,280 Speaker 1: is no end to this COVID insanity, which is why 182 00:11:06,320 --> 00:11:09,760 Speaker 1: Buck and I continue to hammer it here because they're 183 00:11:09,760 --> 00:11:12,000 Speaker 1: coming for you. They're coming for you with masks, they're 184 00:11:12,000 --> 00:11:14,120 Speaker 1: coming for you with the vaccine mandates. As soon as 185 00:11:14,160 --> 00:11:17,040 Speaker 1: these things come up again in terms of cases, they 186 00:11:17,080 --> 00:11:19,400 Speaker 1: are going to chase you and they are going to 187 00:11:19,520 --> 00:11:22,280 Speaker 1: demand that you submit. We know this and it's starting 188 00:11:22,320 --> 00:11:24,600 Speaker 1: to happen already. 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Make an 210 00:12:32,360 --> 00:12:36,280 Speaker 1: appointment with the truth. Tune in every day to the 211 00:12:36,400 --> 00:12:47,520 Speaker 1: Clay Travis and Buck Sexton Show. Welcome back in Clay 212 00:12:47,600 --> 00:12:52,359 Speaker 1: Travis Buck Sexton Show. Buck. I know you watched the 213 00:12:52,480 --> 00:12:57,080 Speaker 1: US soccer game with your brothers and the US managed 214 00:12:57,120 --> 00:12:59,040 Speaker 1: to choke away what should have been a win. You 215 00:12:59,040 --> 00:13:01,000 Speaker 1: were a soccer code coach in high school back in 216 00:13:01,000 --> 00:13:03,560 Speaker 1: the day. What did you think of the penalty kick 217 00:13:03,640 --> 00:13:05,840 Speaker 1: give up in the tie. I would have had very 218 00:13:05,840 --> 00:13:08,920 Speaker 1: harsh words for the defender who, for no good reason 219 00:13:09,240 --> 00:13:12,920 Speaker 1: fouled Gareth Bale in the box from behind when he 220 00:13:13,000 --> 00:13:15,000 Speaker 1: would have had to make a turn at the whole 221 00:13:15,040 --> 00:13:17,840 Speaker 1: It was look, you know, you eat. Nerves are a 222 00:13:17,880 --> 00:13:20,679 Speaker 1: real thing at that level, even for the top pros. 223 00:13:21,440 --> 00:13:23,320 Speaker 1: And it looks like the guy just kind of freaked 224 00:13:23,320 --> 00:13:26,080 Speaker 1: out a little bit. It can happen. Um, you know, 225 00:13:26,400 --> 00:13:27,439 Speaker 1: it is what it is meant. This is why I 226 00:13:27,440 --> 00:13:30,520 Speaker 1: can't get too excited about US US men's soccer clay 227 00:13:30,800 --> 00:13:32,839 Speaker 1: because they always just break my heart. Man, they always 228 00:13:32,840 --> 00:13:34,240 Speaker 1: just break my heart. Are they even gonna make it 229 00:13:34,280 --> 00:13:39,760 Speaker 1: out of the group? No? Does our audience care? Five percent? Maybe? So? 230 00:13:40,040 --> 00:13:42,520 Speaker 1: I think a huge percentage of our audience On Friday, 231 00:13:42,559 --> 00:13:44,920 Speaker 1: we'll be watching the USA against England because I think 232 00:13:44,920 --> 00:13:48,120 Speaker 1: everybody's gonna be Oh yeah, I think a huge percentage 233 00:13:48,200 --> 00:13:51,520 Speaker 1: because it's the day day after thank yeah. So you 234 00:13:51,520 --> 00:13:53,679 Speaker 1: can let us know if you're actually watching or if 235 00:13:53,679 --> 00:13:55,480 Speaker 1: you think I'm crazy that a lot of you will 236 00:13:55,480 --> 00:13:59,360 Speaker 1: be watching. Um, but this ties in but cains wait 237 00:13:59,400 --> 00:14:02,520 Speaker 1: real quick, Wales, I mean, are we gonna lose two 238 00:14:02,640 --> 00:14:06,679 Speaker 1: or tie the island of like Palau or you know, 239 00:14:06,960 --> 00:14:10,400 Speaker 1: we Liechtenstein's got a kind of nasty front line. They're 240 00:14:10,400 --> 00:14:13,040 Speaker 1: gonna take us out. I'm sorry. It's Wales. No one 241 00:14:13,080 --> 00:14:17,160 Speaker 1: even thinks it's a country. It's true all everything that 242 00:14:17,160 --> 00:14:18,600 Speaker 1: he just said. And I hope we don't have a 243 00:14:18,640 --> 00:14:23,040 Speaker 1: monster listenership right now in Wales. It's just losing their mind. Overseas. 244 00:14:23,080 --> 00:14:25,320 Speaker 1: They've been all in on everything we've set up till now, 245 00:14:25,360 --> 00:14:28,200 Speaker 1: and now they're just done with us. This ties in. 246 00:14:28,240 --> 00:14:30,600 Speaker 1: I'm gonna be up at the Big Game, as they 247 00:14:30,640 --> 00:14:33,640 Speaker 1: call it, and it should be pretty fantastic. Michigan against 248 00:14:33,640 --> 00:14:36,320 Speaker 1: Ohio State part of the big noon Fox kickoff show 249 00:14:37,200 --> 00:14:41,280 Speaker 1: in Columbus, Ohio. We are number one, I believe in Columbus, Ohio, 250 00:14:41,360 --> 00:14:44,120 Speaker 1: so imagine a lot of Buckeye fans will be there 251 00:14:44,120 --> 00:14:47,920 Speaker 1: as well as Michigan Wolverines. But I saw this. This 252 00:14:48,080 --> 00:14:50,240 Speaker 1: literally has come out since we started the show. I 253 00:14:50,280 --> 00:14:56,600 Speaker 1: believe the NHL official Twitter account National Hockey League for 254 00:14:56,640 --> 00:14:59,240 Speaker 1: those of you out there that are not big sports fans, 255 00:15:00,080 --> 00:15:04,320 Speaker 1: eated a couple of hours ago. Trans women are women, 256 00:15:05,080 --> 00:15:10,320 Speaker 1: trans men are men, non binary identity is real. Now, 257 00:15:11,160 --> 00:15:14,120 Speaker 1: whatever you think about this, I would just point out 258 00:15:14,160 --> 00:15:17,280 Speaker 1: that men can't get pregnant, and you are born with 259 00:15:17,320 --> 00:15:20,560 Speaker 1: a penis or a vagina and that is your actual gender. 260 00:15:20,600 --> 00:15:22,880 Speaker 1: I would just point all this out as biological reality. 261 00:15:24,640 --> 00:15:28,680 Speaker 1: How is it that the NHL Twitter account has decided 262 00:15:28,720 --> 00:15:33,520 Speaker 1: that they need to weigh in on trans related issues? 263 00:15:34,440 --> 00:15:37,120 Speaker 1: And I'm now in a battle out there in the 264 00:15:37,120 --> 00:15:39,560 Speaker 1: world over and this has been going on for years. 265 00:15:39,640 --> 00:15:43,400 Speaker 1: But I can't believe that anyone with a functional brain 266 00:15:43,480 --> 00:15:46,680 Speaker 1: buck would argue that a man should be able to 267 00:15:46,720 --> 00:15:49,600 Speaker 1: compete against a woman in women's sports just because the 268 00:15:49,600 --> 00:15:52,200 Speaker 1: man decided that he now identifies as a woman. I mean, 269 00:15:52,400 --> 00:15:56,000 Speaker 1: is the only way this happens. There's there's some true 270 00:15:56,000 --> 00:16:00,680 Speaker 1: believers for whom the wiring of their brain is just 271 00:16:00,760 --> 00:16:04,880 Speaker 1: they're they're so flooded with the propaganda of the left, 272 00:16:04,920 --> 00:16:09,400 Speaker 1: and they're so desperate for acceptance by the leftist Marxist 273 00:16:09,480 --> 00:16:12,440 Speaker 1: elites that you know they actually believe this, Clay. But 274 00:16:12,600 --> 00:16:14,800 Speaker 1: I mean the vast majority of the people who go 275 00:16:15,120 --> 00:16:16,840 Speaker 1: I mean the ones who go along with this, I mean, 276 00:16:16,960 --> 00:16:19,200 Speaker 1: our audience sitting are saying, yeah, that's crazy. But the 277 00:16:19,240 --> 00:16:23,960 Speaker 1: people who go along with this, it's just cowardice that 278 00:16:24,080 --> 00:16:26,200 Speaker 1: they just they don't want to be called the bigot. 279 00:16:26,320 --> 00:16:28,920 Speaker 1: They don't want to be told that they're anti trands 280 00:16:29,000 --> 00:16:32,120 Speaker 1: and all the rest of it. And so there are 281 00:16:32,120 --> 00:16:34,080 Speaker 1: just some of us. It falls upon some of us 282 00:16:34,720 --> 00:16:37,200 Speaker 1: to stand up and say, no, reality is a thing. 283 00:16:37,760 --> 00:16:39,680 Speaker 1: There are still some things that are true. No matter 284 00:16:39,680 --> 00:16:41,800 Speaker 1: how much it may hurt some people's feelings, or how 285 00:16:41,880 --> 00:16:45,040 Speaker 1: much it doesn't let themselves actualize or whatever, there are 286 00:16:45,080 --> 00:16:47,360 Speaker 1: things that are true, and we refuse to let people 287 00:16:47,400 --> 00:16:49,360 Speaker 1: tell us they're not true, just because they really really 288 00:16:49,360 --> 00:16:52,920 Speaker 1: believe them. I think there's also if you're a sports 289 00:16:52,920 --> 00:16:55,480 Speaker 1: fan at all, and if you have kids and you've 290 00:16:55,480 --> 00:17:00,280 Speaker 1: ever participated in youth sports, the idea of men and 291 00:17:00,320 --> 00:17:05,040 Speaker 1: women being equal in sports is so absurdly ridiculous. Men 292 00:17:05,080 --> 00:17:07,520 Speaker 1: are bigger, stronger, and faster than women. You have weight 293 00:17:07,600 --> 00:17:11,800 Speaker 1: classes in boxing, you have age limits in little league 294 00:17:11,920 --> 00:17:14,240 Speaker 1: right Like I've coached little league baseball. If I got 295 00:17:14,240 --> 00:17:16,200 Speaker 1: to play with an eighteen year old, our team would 296 00:17:16,240 --> 00:17:18,040 Speaker 1: be badass. The kid would hit a home run every 297 00:17:18,040 --> 00:17:19,600 Speaker 1: time he came up, if he was any good at all. 298 00:17:20,080 --> 00:17:22,320 Speaker 1: But that's not allowed. And if you tried to do that, 299 00:17:22,560 --> 00:17:28,000 Speaker 1: parents would revolt. What's happening is overwhelmingly if you have daughters, 300 00:17:28,040 --> 00:17:30,920 Speaker 1: and you need to hear this, because it's happening at 301 00:17:30,960 --> 00:17:33,360 Speaker 1: some point over the next five to ten years. If 302 00:17:33,400 --> 00:17:36,280 Speaker 1: you are raising young girls, there is going to be 303 00:17:36,359 --> 00:17:40,400 Speaker 1: someone who identifies as a girl that is biologically male, 304 00:17:40,760 --> 00:17:44,120 Speaker 1: that is going to play in their district, in their school, 305 00:17:44,560 --> 00:17:47,760 Speaker 1: in their state, and it is going to fundamentally alter 306 00:17:48,200 --> 00:17:50,840 Speaker 1: fair play because men and men are bigger, stronger, and 307 00:17:50,880 --> 00:17:53,919 Speaker 1: faster than women. And the fact that this isn't allowed 308 00:17:53,960 --> 00:17:58,040 Speaker 1: to be said is I think a testament to what 309 00:17:58,560 --> 00:18:01,880 Speaker 1: an absurdly up down world, upside down world we live in. 310 00:18:02,200 --> 00:18:04,600 Speaker 1: And it gets me so fired up every time it happens. Buck, 311 00:18:04,640 --> 00:18:07,159 Speaker 1: But the NHL putting this out there is frankly indefensible. 312 00:18:07,920 --> 00:18:09,600 Speaker 1: If you're running a business that ships a lot of 313 00:18:09,640 --> 00:18:12,159 Speaker 1: packages at this time of year, do yourself a favor 314 00:18:12,440 --> 00:18:15,000 Speaker 1: and get set up with stamps dot Com. It truly 315 00:18:15,080 --> 00:18:17,639 Speaker 1: is your one stop shop for every last shipping and 316 00:18:17,680 --> 00:18:20,040 Speaker 1: mailing need you're gonna have this holiday season. For a 317 00:18:20,040 --> 00:18:22,399 Speaker 1: couple of decades now, stamps dot Com has been helping 318 00:18:22,440 --> 00:18:25,240 Speaker 1: more than a million businesses. You get access to both 319 00:18:25,320 --> 00:18:29,200 Speaker 1: USPS and ups services to help get every last package 320 00:18:29,200 --> 00:18:31,960 Speaker 1: ship safely and on time. 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No long term commitments. 330 00:18:58,480 --> 00:19:01,000 Speaker 1: Just go to stamps dot com, clicked the microphone at 331 00:19:01,000 --> 00:19:03,360 Speaker 1: the top of the page and enter code Clay and Buck. 332 00:19:03,400 --> 00:19:13,480 Speaker 1: Get hooked up. Welcome back to Clay and Buck. We 333 00:19:13,600 --> 00:19:17,320 Speaker 1: mentioned the top of the show that there was a veteran, 334 00:19:17,440 --> 00:19:22,560 Speaker 1: Richard Fierro, who was able to help tackle and subdue 335 00:19:22,880 --> 00:19:26,520 Speaker 1: the mass murdering shooter at the Q nightclub over the weekend. 336 00:19:27,040 --> 00:19:31,159 Speaker 1: We actually have him explaining how he was able to 337 00:19:31,440 --> 00:19:35,040 Speaker 1: in Colorado's Springs tackle this shooter and in doing so, 338 00:19:35,200 --> 00:19:39,240 Speaker 1: likely save save lives. There were five lives lost, but 339 00:19:39,560 --> 00:19:41,960 Speaker 1: it could have been as we know, many more based 340 00:19:42,000 --> 00:19:45,720 Speaker 1: on how many people were there and the situation the 341 00:19:45,760 --> 00:19:49,280 Speaker 1: circumstances they were playing out, But there were a couple 342 00:19:49,280 --> 00:19:53,119 Speaker 1: of heroes on the scene who stepped up and neutralize 343 00:19:53,200 --> 00:19:57,920 Speaker 1: the threat. Here is Army veteran Richard Fieriro explaining how 344 00:19:57,960 --> 00:19:59,760 Speaker 1: he did what he did and how he stepped up 345 00:19:59,760 --> 00:20:01,959 Speaker 1: to say lives play Clip one. I saw the ACU 346 00:20:02,040 --> 00:20:05,600 Speaker 1: pattern flack best and for me that was like, there's 347 00:20:05,600 --> 00:20:08,400 Speaker 1: a handle, I'm getting him. So I ran across the room, 348 00:20:08,880 --> 00:20:14,040 Speaker 1: grabbed the handle, pulled him down, and then started to well, 349 00:20:14,080 --> 00:20:16,000 Speaker 1: actually I think I went for its gun with him. 350 00:20:16,119 --> 00:20:18,360 Speaker 1: His rifle flew in front of him, and the young 351 00:20:18,400 --> 00:20:20,560 Speaker 1: man that tried to jump in there with me, he 352 00:20:21,160 --> 00:20:23,159 Speaker 1: we both either pulled him down or whatever, but he 353 00:20:23,240 --> 00:20:26,000 Speaker 1: ended up at his head and right next to the AAR, 354 00:20:26,520 --> 00:20:29,600 Speaker 1: and then with the aar he I told him, pushed 355 00:20:29,600 --> 00:20:31,800 Speaker 1: the aar, get the air away from him. The kid 356 00:20:31,880 --> 00:20:34,439 Speaker 1: pushed the r I don't know what his name was, 357 00:20:34,920 --> 00:20:37,960 Speaker 1: and then I proceeded to take his other weapon and 358 00:20:38,000 --> 00:20:40,560 Speaker 1: pistol and then just start hitting him at where I could, 359 00:20:40,560 --> 00:20:43,240 Speaker 1: but the armor's in the way, and I just started 360 00:20:43,280 --> 00:20:45,960 Speaker 1: I found a crease in his between his armor and 361 00:20:46,000 --> 00:20:50,800 Speaker 1: his head, and I just started weighing away in doing so. Clay, 362 00:20:50,840 --> 00:20:53,400 Speaker 1: this guy, this guy saved live, stopped a mass shooting 363 00:20:53,400 --> 00:20:58,440 Speaker 1: in progress by grabbing the body armor of the shooter, 364 00:20:58,640 --> 00:21:01,040 Speaker 1: dragging him to the ground, and finding a place where 365 00:21:01,080 --> 00:21:03,600 Speaker 1: he could pummel him with his bare hands. Good for him, 366 00:21:03,840 --> 00:21:07,680 Speaker 1: and I applaud and believe we should give attention to 367 00:21:07,720 --> 00:21:11,040 Speaker 1: all of the heroes who stop any sort of crimes 368 00:21:11,080 --> 00:21:13,720 Speaker 1: like these. Is it just me, Buck or does it 369 00:21:13,760 --> 00:21:17,040 Speaker 1: feel like this guy the shooter's name is being used 370 00:21:17,040 --> 00:21:19,760 Speaker 1: in the media much less. The reason why I bring 371 00:21:19,800 --> 00:21:25,080 Speaker 1: that up is the data reflects that many mass shooters 372 00:21:25,400 --> 00:21:29,480 Speaker 1: are motivated by the fame and notoriety that they get 373 00:21:29,520 --> 00:21:33,640 Speaker 1: in media coverage, usually get front page profiles on their 374 00:21:33,680 --> 00:21:36,480 Speaker 1: whole family. And it feels to me like maybe the 375 00:21:36,600 --> 00:21:40,359 Speaker 1: lightbulb moment is going off and there's less attention now, 376 00:21:40,400 --> 00:21:43,000 Speaker 1: although maybe I'm gonna end up being wrong, but less 377 00:21:43,040 --> 00:21:46,680 Speaker 1: attention in terms of the name and the notoriety being 378 00:21:46,720 --> 00:21:49,119 Speaker 1: given to these guys, because that, to me is the 379 00:21:49,200 --> 00:21:52,120 Speaker 1: one thing that those of us with big platforms can 380 00:21:52,240 --> 00:21:54,040 Speaker 1: work on. We try to do that on the show, 381 00:21:54,560 --> 00:21:59,160 Speaker 1: not publicize and make famous the shooters, and less there's 382 00:21:59,200 --> 00:22:02,480 Speaker 1: somebody that these are looking for. Hey, this person's on 383 00:22:02,520 --> 00:22:05,919 Speaker 1: the run. I think that's obviously a different scenario. But 384 00:22:06,000 --> 00:22:08,840 Speaker 1: in terms of a captured shooter, I don't think we 385 00:22:08,840 --> 00:22:13,520 Speaker 1: should allow them to be famous. And so there's the 386 00:22:13,560 --> 00:22:16,240 Speaker 1: heroes who took down the shooter and save lives in 387 00:22:16,520 --> 00:22:19,520 Speaker 1: the process. We just heard from one of them, Richard Fierro, 388 00:22:19,640 --> 00:22:23,399 Speaker 1: their army veteran. You know, Clay that the politicization of this, 389 00:22:23,680 --> 00:22:27,600 Speaker 1: I know that it has now just become what we expect, 390 00:22:28,000 --> 00:22:32,359 Speaker 1: particularly from Democrats, when it fits a certain narrative. Immediately 391 00:22:32,400 --> 00:22:37,119 Speaker 1: it turns into this crazy person did a thing and 392 00:22:37,280 --> 00:22:41,960 Speaker 1: it was awful and horrible. Therefore, because I don't like 393 00:22:42,040 --> 00:22:46,080 Speaker 1: your politics on some unrelated issues, you better bend the 394 00:22:46,160 --> 00:22:48,240 Speaker 1: knee and agree to do what we tell you to do, 395 00:22:48,600 --> 00:22:50,960 Speaker 1: or else you're the reason that this happened. I mean, 396 00:22:51,000 --> 00:22:54,399 Speaker 1: it's say, we talked about stochastic terrorism yesterday. Tucker mentioned 397 00:22:54,400 --> 00:22:57,160 Speaker 1: it last night on his show as well the opening monologue, 398 00:22:57,600 --> 00:23:01,320 Speaker 1: and there really is this effort to try, you know, 399 00:23:01,600 --> 00:23:06,760 Speaker 1: to emotionally bludgeon people into submission on things that have 400 00:23:06,840 --> 00:23:10,800 Speaker 1: nothing to do with an actual act of violence like this, 401 00:23:11,520 --> 00:23:14,040 Speaker 1: and you know you're seeing you saw this on a 402 00:23:14,160 --> 00:23:16,480 Speaker 1: very different level. Obviously people no one lost their life. 403 00:23:16,480 --> 00:23:19,560 Speaker 1: I mean, Paul Pelosi is fine, but even after the 404 00:23:19,560 --> 00:23:24,000 Speaker 1: Paul Pelosi assault, and I know there Look, here's an 405 00:23:24,000 --> 00:23:26,520 Speaker 1: outstanding question that has not been resolved about that, and 406 00:23:26,640 --> 00:23:28,880 Speaker 1: people have a lot of them. But there are two 407 00:23:28,880 --> 00:23:32,640 Speaker 1: different law enforcement agencies who have two different stated positions 408 00:23:32,640 --> 00:23:36,720 Speaker 1: on whether Paul Pelosi answered the door himself or not. 409 00:23:36,920 --> 00:23:40,199 Speaker 1: That matters. It matters from a security review perspective, It 410 00:23:40,240 --> 00:23:42,800 Speaker 1: matters from it we should know all the facts and 411 00:23:42,880 --> 00:23:45,680 Speaker 1: the positioning of this perspective. The more we learned about 412 00:23:45,680 --> 00:23:48,520 Speaker 1: this guy do do Pay, for example, and this just 413 00:23:48,560 --> 00:23:51,680 Speaker 1: all goes to how violence the media will even it's 414 00:23:51,680 --> 00:23:54,040 Speaker 1: not just when it fits a narrative, they will mold 415 00:23:54,040 --> 00:23:56,000 Speaker 1: the narrative. They will form a narrative and then try 416 00:23:56,040 --> 00:23:59,600 Speaker 1: to use it for political purposes, explicitly political purposes. Do 417 00:23:59,720 --> 00:24:03,679 Speaker 1: Pay was a guy who said he was Jesus, like 418 00:24:03,800 --> 00:24:07,200 Speaker 1: literally said he was Jesus, lived under a tree, thought 419 00:24:07,240 --> 00:24:10,680 Speaker 1: he was living in a computer simulation at one point, 420 00:24:10,760 --> 00:24:15,720 Speaker 1: was a nine to eleven truther. Um was was was 421 00:24:16,119 --> 00:24:19,399 Speaker 1: I think his like partner slash you know, girlfriend was 422 00:24:19,440 --> 00:24:23,880 Speaker 1: the nudest, but I think he went I'm not an 423 00:24:23,920 --> 00:24:27,000 Speaker 1: expert on his nude practices, but I'm just saying, you know, 424 00:24:27,040 --> 00:24:29,440 Speaker 1: I think that she was more of the but I 425 00:24:29,480 --> 00:24:31,919 Speaker 1: mean he probably got did some nudity. Yeah, he's an 426 00:24:31,920 --> 00:24:35,879 Speaker 1: illegal alien, nudist, uh lunatic who thought he was Jesus, 427 00:24:35,880 --> 00:24:38,159 Speaker 1: lived under a tree, thought he was living a computer simulation. 428 00:24:38,840 --> 00:24:41,679 Speaker 1: If they weren't being honest, what they would do is 429 00:24:41,680 --> 00:24:43,360 Speaker 1: they would say, these have this is all the harm 430 00:24:43,600 --> 00:24:47,240 Speaker 1: hallmarks of somebody with extreme mental illness, likely an extreme 431 00:24:47,320 --> 00:24:51,119 Speaker 1: level of schizophrenia or you know, some form of personality disorder. 432 00:24:51,720 --> 00:24:54,639 Speaker 1: And this is a guy who honestly should be in 433 00:24:54,680 --> 00:24:56,840 Speaker 1: a in a in a you know, mental health facility, 434 00:24:57,040 --> 00:25:01,080 Speaker 1: a criminal mental facility, but one where he's instead it's well, 435 00:25:01,119 --> 00:25:04,600 Speaker 1: you know he did this and Pizza gate qua non Trump. 436 00:25:05,040 --> 00:25:08,280 Speaker 1: It's Trump's fault and all of Trump's supporters fault. They 437 00:25:08,359 --> 00:25:11,000 Speaker 1: have to be held accountable by voters, which they said 438 00:25:11,040 --> 00:25:14,119 Speaker 1: this right before the election, for the violence against against 439 00:25:14,200 --> 00:25:17,359 Speaker 1: Paul Pelosi. And we sit here and it's like, you know, 440 00:25:17,960 --> 00:25:21,359 Speaker 1: the left actually justifies its political violence sometimes. I mean, 441 00:25:21,400 --> 00:25:23,240 Speaker 1: we could go back and look, you know, we sit 442 00:25:23,320 --> 00:25:25,240 Speaker 1: here and say, look, what happened to Paul Pelosi is horrible. 443 00:25:25,280 --> 00:25:27,600 Speaker 1: The guys, he's a senior citizen. He got hit with 444 00:25:27,640 --> 00:25:29,760 Speaker 1: a hammer, he almost died. It's awful. Right, if that 445 00:25:29,800 --> 00:25:32,480 Speaker 1: was your grandpa, my grandpa, we'd be you know, we'd 446 00:25:32,480 --> 00:25:35,960 Speaker 1: be outraged, and we would want justice and anyway we 447 00:25:36,000 --> 00:25:39,120 Speaker 1: all and that's the that's the way the right feels 448 00:25:39,720 --> 00:25:43,240 Speaker 1: and honestly and the way the right feels about the 449 00:25:43,520 --> 00:25:46,959 Speaker 1: shooting it happened in Colorado Springs is that's heinous and evil. 450 00:25:47,640 --> 00:25:51,400 Speaker 1: And the Democrats turn around and say, anybody who still 451 00:25:51,400 --> 00:25:54,000 Speaker 1: believes in their Second Amendment rights, anybody who thinks it should, 452 00:25:54,080 --> 00:25:57,520 Speaker 1: they're part of this problem. Meanwhile, our audience of Second 453 00:25:57,520 --> 00:26:00,920 Speaker 1: Amendment rights supporters are all like, if I were there, 454 00:26:01,400 --> 00:26:03,359 Speaker 1: I would have risked my life to stop this shooter. 455 00:26:03,480 --> 00:26:06,480 Speaker 1: I would have been Richard Fierro. I would have risked 456 00:26:06,520 --> 00:26:11,760 Speaker 1: myself to save the lives of the LGBTQ individuals at 457 00:26:11,800 --> 00:26:15,840 Speaker 1: this nightclub. But that we're not allowed to actually understand 458 00:26:15,840 --> 00:26:17,880 Speaker 1: that to come together a society around that, it has 459 00:26:17,920 --> 00:26:21,320 Speaker 1: to be you being the right are the bad people, 460 00:26:21,400 --> 00:26:23,560 Speaker 1: and you're responsible for things that have nothing to do 461 00:26:23,640 --> 00:26:25,920 Speaker 1: you're responsible for the guy who says he's Jesus and 462 00:26:26,040 --> 00:26:29,880 Speaker 1: a computer simulation attacking somebody in his underwear at two 463 00:26:29,880 --> 00:26:32,600 Speaker 1: o'clock in the morning. It's our story. The stories that 464 00:26:32,680 --> 00:26:37,400 Speaker 1: disappear are telling guy in Waukeshaw gets in a car 465 00:26:37,800 --> 00:26:43,200 Speaker 1: mos through a crowd of all white Christmas celebrants, probably 466 00:26:43,240 --> 00:26:46,879 Speaker 1: based on his background, clearly mentally ill, but it's also 467 00:26:47,040 --> 00:26:50,720 Speaker 1: quite clear that he also was racist, right like, and 468 00:26:51,080 --> 00:26:53,600 Speaker 1: that story almost completely disappears. And what do we call 469 00:26:53,640 --> 00:26:55,920 Speaker 1: a person who hates white people who says they hate 470 00:26:55,960 --> 00:26:59,520 Speaker 1: white people? I would call them a racist. Yeah, they're racists. 471 00:26:59,640 --> 00:27:01,679 Speaker 1: But it's isn't it fascinating a lot of if you asked, 472 00:27:01,680 --> 00:27:03,440 Speaker 1: if you asked someone at CNN, what do you call 473 00:27:03,480 --> 00:27:07,840 Speaker 1: a person who's not white who says I hate white people? 474 00:27:08,320 --> 00:27:12,760 Speaker 1: They'd say somebody who is dealing with thee Well that 475 00:27:13,080 --> 00:27:16,200 Speaker 1: they might make the argument, you can't be racist against 476 00:27:16,240 --> 00:27:20,720 Speaker 1: white people because white people have too much control the argument. 477 00:27:20,800 --> 00:27:23,000 Speaker 1: So that's that's what they would argue. They would say racism. 478 00:27:23,240 --> 00:27:25,760 Speaker 1: That story vanished, And and by the way, there are 479 00:27:25,840 --> 00:27:30,360 Speaker 1: racist white, Black, Asian and Hispanic people. That sentence alone 480 00:27:30,640 --> 00:27:33,880 Speaker 1: would revolutionize the way we talk about racism, almost no 481 00:27:33,920 --> 00:27:35,440 Speaker 1: one on the left would even say it. Let me 482 00:27:35,560 --> 00:27:37,119 Speaker 1: say it again, because it's clear and it's true and 483 00:27:37,160 --> 00:27:39,720 Speaker 1: you all know it. There are white, black, Asian and 484 00:27:39,880 --> 00:27:42,400 Speaker 1: Hispanic racists. Did you see did you see the woman 485 00:27:42,480 --> 00:27:46,480 Speaker 1: who was yelled at by an African American woman was 486 00:27:46,480 --> 00:27:49,119 Speaker 1: the one doing the yelling. And she was yelling at 487 00:27:49,160 --> 00:27:51,680 Speaker 1: a Asian American woman. This was on video just when 488 00:27:51,800 --> 00:27:54,439 Speaker 1: viral this week that she should well, I mean she 489 00:27:54,480 --> 00:27:57,359 Speaker 1: was yelling all kinds of I mean, the worst kinds 490 00:27:57,400 --> 00:28:00,639 Speaker 1: of racism about the Asian woman's appearance. Yeah, about how 491 00:28:00,640 --> 00:28:03,920 Speaker 1: she should eat her dog with her you know, I mean, 492 00:28:03,960 --> 00:28:08,280 Speaker 1: just really gross stuff. Not a national news story. Went viral, 493 00:28:08,320 --> 00:28:10,560 Speaker 1: but not a national news story. Why is that, Clay? Yep? 494 00:28:10,920 --> 00:28:13,919 Speaker 1: That's my point. That story And to your point, how 495 00:28:13,960 --> 00:28:16,000 Speaker 1: about the kid? And I say kid, I think he 496 00:28:16,040 --> 00:28:19,680 Speaker 1: was like twenty two or twenty three in Indiana who 497 00:28:19,760 --> 00:28:23,520 Speaker 1: stopped the mass shooting in the mall by dropping the 498 00:28:23,600 --> 00:28:27,320 Speaker 1: guy almost immediately when he came out and started firing 499 00:28:27,400 --> 00:28:29,960 Speaker 1: in the food court. I believe it was outside Indianapolis, 500 00:28:30,000 --> 00:28:31,520 Speaker 1: if I'm not mistaken. I thought it was from like 501 00:28:31,560 --> 00:28:34,040 Speaker 1: thirty yards out, which with the pistols a damn good shot. 502 00:28:34,359 --> 00:28:38,120 Speaker 1: It was an incredible, incredible move by him that saved 503 00:28:38,160 --> 00:28:43,440 Speaker 1: countless lives. Story vanished almost immediately. If they don't fit 504 00:28:43,520 --> 00:28:49,320 Speaker 1: the prescribed media narrative, then those stories vanish almost instantaneously. 505 00:28:49,360 --> 00:28:51,600 Speaker 1: We know this because look as bad as the mass 506 00:28:51,640 --> 00:28:57,840 Speaker 1: shooting was in Colorado, every weekend, there are far more 507 00:28:57,840 --> 00:29:01,840 Speaker 1: people being shot and killed in cities and they don't 508 00:29:01,880 --> 00:29:05,800 Speaker 1: even get a blip of media attention. Again, you made 509 00:29:05,840 --> 00:29:07,960 Speaker 1: the point. I think it's such a good one. If 510 00:29:07,960 --> 00:29:10,520 Speaker 1: we eliminated every mass shooting in America, which I wish 511 00:29:10,520 --> 00:29:12,360 Speaker 1: we could do, I would be ecstatic, and I know 512 00:29:12,400 --> 00:29:14,640 Speaker 1: everybody out there listening would be ecstatic if that happened 513 00:29:14,680 --> 00:29:18,520 Speaker 1: as well. Murders would still be occurring in this country. 514 00:29:18,840 --> 00:29:22,880 Speaker 1: So think about what percentage of media attention for violent 515 00:29:22,960 --> 00:29:26,400 Speaker 1: crime goes to mass shooting as a percentage of the 516 00:29:26,480 --> 00:29:30,600 Speaker 1: overall violent crime that they represent relative to the mass 517 00:29:30,960 --> 00:29:33,720 Speaker 1: the massive amounts of violence that we just accept that 518 00:29:33,800 --> 00:29:37,760 Speaker 1: occurs all over this country and nobody even blinks or argues, hey, 519 00:29:37,800 --> 00:29:42,960 Speaker 1: let's stop this. But there's just also something so disgraceful 520 00:29:43,200 --> 00:29:50,120 Speaker 1: and underhanded and insidious about the every time there is 521 00:29:50,200 --> 00:29:56,320 Speaker 1: a shooting that the Democrat left antisecond amendment. You know, 522 00:29:57,680 --> 00:30:03,120 Speaker 1: authoritarian libs can manufacture it to some kind of assault 523 00:30:03,240 --> 00:30:06,520 Speaker 1: on everybody on It's not it's you agree with us 524 00:30:06,840 --> 00:30:09,440 Speaker 1: on all the following issues or your part of the problem. 525 00:30:09,880 --> 00:30:14,240 Speaker 1: They do it to immediately defame their political opponents right away. 526 00:30:14,720 --> 00:30:17,000 Speaker 1: It's not Hey, do we all come together here? Do 527 00:30:17,040 --> 00:30:19,680 Speaker 1: we all understand how horrible this was? Are we standing 528 00:30:19,720 --> 00:30:23,120 Speaker 1: in solidarity with the victims in Colorado Springs? There are 529 00:30:23,120 --> 00:30:25,840 Speaker 1: fellow human beings, or fellow Americans or brothers and sisters. 530 00:30:25,920 --> 00:30:28,160 Speaker 1: Do we get to have that moment as a country. No, 531 00:30:28,600 --> 00:30:32,640 Speaker 1: it's immediately turned by the left into the right is evil. 532 00:30:32,960 --> 00:30:34,840 Speaker 1: There would be no guns and no murder if it 533 00:30:34,920 --> 00:30:37,640 Speaker 1: wasn't for the right. It is you, It is your fault. 534 00:30:37,680 --> 00:30:39,720 Speaker 1: They do this now all the time. Didn't you tell me? 535 00:30:39,760 --> 00:30:42,720 Speaker 1: I think yesterday was the one year anniversary of Waukesha? Yep? 536 00:30:42,760 --> 00:30:45,320 Speaker 1: I didn't see anyone covering the one year anniversary of 537 00:30:45,360 --> 00:30:48,800 Speaker 1: the Waukesha mass murder by vehicle at a Christmas parade? 538 00:30:49,120 --> 00:30:53,240 Speaker 1: Yep he didn't, because again, the narrative is inconvenient. Want 539 00:30:53,240 --> 00:30:55,080 Speaker 1: to tell you, is we get ready. 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Ruth compass pointing do right every day 560 00:32:03,960 --> 00:32:15,120 Speaker 1: The Clay Travis and Buck Sexton Show. Welcome back in 561 00:32:15,280 --> 00:32:19,320 Speaker 1: Clay Travis buck Sexton Show. Closing out the Tuesday edition 562 00:32:19,600 --> 00:32:22,160 Speaker 1: of the program. Appreciate all of you hanging out with us. 563 00:32:22,280 --> 00:32:24,560 Speaker 1: Encourage you to go subscribe to the podcast. Make sure 564 00:32:24,600 --> 00:32:27,720 Speaker 1: you don't miss a moment. It is only two days 565 00:32:27,760 --> 00:32:30,080 Speaker 1: until Thanksgiving. Many of you probably gonna be hitting the road, 566 00:32:30,200 --> 00:32:33,360 Speaker 1: hitting the air. Be safe, including our own buck Sexton, 567 00:32:33,640 --> 00:32:36,840 Speaker 1: who was traveling to be with his family. And we 568 00:32:36,840 --> 00:32:39,000 Speaker 1: want to make sure you find us. Clay Travis buck Sexton. 569 00:32:39,040 --> 00:32:42,720 Speaker 1: You can listen to us anywhere. Do it today. I 570 00:32:42,880 --> 00:32:44,920 Speaker 1: just I want to start. You know, we're all gonna 571 00:32:44,920 --> 00:32:47,240 Speaker 1: be thankful and seeing family and it's great in America 572 00:32:47,280 --> 00:32:50,640 Speaker 1: and celebration all that. We gotta fight over something, the 573 00:32:50,720 --> 00:32:55,080 Speaker 1: most overrated Thanksgiving food. I gotta pull out right now, Clay. 574 00:32:55,120 --> 00:32:57,080 Speaker 1: And I gotta tell you the American people not taking 575 00:32:57,120 --> 00:33:00,560 Speaker 1: the bait because I put roles in there. No one 576 00:33:00,680 --> 00:33:05,360 Speaker 1: is saying roles. People love their roles. I think it's 577 00:33:05,400 --> 00:33:08,720 Speaker 1: the maybe the staple. It's just my anti gluten propaganda. 578 00:33:08,840 --> 00:33:11,200 Speaker 1: I know you know I have Celiac disease. So I'm 579 00:33:11,200 --> 00:33:13,680 Speaker 1: hoping I could convert everybody away from the gluten. People 580 00:33:13,800 --> 00:33:16,240 Speaker 1: love their roles, they're not having it. Only ten percent 581 00:33:16,320 --> 00:33:19,960 Speaker 1: say roles. I gotta say it's really between green bean 582 00:33:20,120 --> 00:33:25,280 Speaker 1: casserole and candied sweet potato, which are very regionalized. I 583 00:33:25,320 --> 00:33:28,400 Speaker 1: will say green bean casserole super popular, I think in 584 00:33:29,240 --> 00:33:31,800 Speaker 1: your neck of the woods, right because in the Northeast, 585 00:33:32,120 --> 00:33:35,120 Speaker 1: candied sweet potato up in New England's a big thing, 586 00:33:35,160 --> 00:33:38,200 Speaker 1: the sweet potato with the marshmallow, and people in the 587 00:33:38,240 --> 00:33:40,080 Speaker 1: rest of the country are not having that. And twenty 588 00:33:40,120 --> 00:33:42,840 Speaker 1: percent of people saying turkey. But you know that's that's 589 00:33:42,840 --> 00:33:46,479 Speaker 1: not really catching on either. I am super anti green beans. 590 00:33:47,160 --> 00:33:50,000 Speaker 1: I don't like I think the food. What's the food 591 00:33:50,080 --> 00:33:54,240 Speaker 1: that now that you're an adult, you just and don't 592 00:33:54,240 --> 00:33:58,080 Speaker 1: get told, hey, eat this, it's healthy. I genuinely don't 593 00:33:58,080 --> 00:34:01,120 Speaker 1: like green beans, and I genuinely don't like carrots. I 594 00:34:01,200 --> 00:34:04,680 Speaker 1: don't have any interest in eating either. Sun dried tomatoes 595 00:34:04,760 --> 00:34:09,120 Speaker 1: for me, I like tomatoes. No, I like tomatoes, but 596 00:34:09,239 --> 00:34:13,960 Speaker 1: sun dried tomatoes those sort of chewy, little bags of bitterness. 597 00:34:14,520 --> 00:34:16,640 Speaker 1: They put that in food, and I'm always like, all 598 00:34:16,680 --> 00:34:18,880 Speaker 1: I could taste of sun dried tomato. I just I 599 00:34:18,920 --> 00:34:21,120 Speaker 1: see it on a menu and avoid I avoid it 600 00:34:21,120 --> 00:34:22,759 Speaker 1: at all. I don't have a strong I don't have 601 00:34:22,840 --> 00:34:25,600 Speaker 1: a strong reaction in that it's carrots. I also am 602 00:34:25,680 --> 00:34:30,160 Speaker 1: very much anti um little tiny chopped onions, you know, 603 00:34:30,280 --> 00:34:32,759 Speaker 1: like the ones that they'll put on top of. And 604 00:34:32,960 --> 00:34:35,520 Speaker 1: I don't like coconut shreds, you know, like cake. I'm 605 00:34:35,520 --> 00:34:37,759 Speaker 1: always like the cake would be way better without the coconut. 606 00:34:38,000 --> 00:34:40,800 Speaker 1: Like what is that called? Like you don't like coconut 607 00:34:41,080 --> 00:34:44,239 Speaker 1: shredded coconut? There you go, I'm very anti shredded coconut. Yeah, 608 00:34:44,239 --> 00:34:46,600 Speaker 1: so people love their roles, but green being cast role 609 00:34:46,600 --> 00:34:48,560 Speaker 1: and candied sweet potato in a big fight. We've also, 610 00:34:48,640 --> 00:34:50,720 Speaker 1: by the way, go to Clambuck dot com plea's become 611 00:34:51,280 --> 00:34:53,600 Speaker 1: v i P subscribers got a bunch of emails in 612 00:34:53,680 --> 00:34:56,160 Speaker 1: I wanted to address some of these. First one up 613 00:34:56,200 --> 00:35:00,799 Speaker 1: Clay Penelope, like you guys and your show, but you 614 00:35:00,960 --> 00:35:03,439 Speaker 1: dis Wales. Not to be fair, I've been making jokes 615 00:35:03,440 --> 00:35:06,719 Speaker 1: about Wales, not Clay, anything at all bad about Not 616 00:35:06,840 --> 00:35:09,680 Speaker 1: by the way, not the animal, the part of part 617 00:35:09,719 --> 00:35:12,800 Speaker 1: of Great Britain, w a l es right, Wales is 618 00:35:12,800 --> 00:35:15,360 Speaker 1: a beautiful country. The fastening history. Some of my ancestors 619 00:35:15,400 --> 00:35:17,640 Speaker 1: work the coal mines there before emigrating to PA. I'm 620 00:35:17,680 --> 00:35:20,400 Speaker 1: thankful for the wealth Geans and my family Happy Thanksgiving. 621 00:35:20,640 --> 00:35:24,320 Speaker 1: I'm not dissing Whales or saying it's not a beautiful 622 00:35:24,360 --> 00:35:27,520 Speaker 1: place with lovely people. I probably have some Wealsh ancestry myself. 623 00:35:27,560 --> 00:35:29,800 Speaker 1: I'm just my my twenty three me is super boring. 624 00:35:29,840 --> 00:35:34,839 Speaker 1: It's England, Ireland and that's it. But yeah, it's just that, 625 00:35:34,960 --> 00:35:37,359 Speaker 1: you know, is it? I mean, is it like really 626 00:35:37,440 --> 00:35:39,279 Speaker 1: a country? I mean, it's kind of part of the 627 00:35:39,520 --> 00:35:41,359 Speaker 1: kind of part of England. I'm just saying, it's kind 628 00:35:41,400 --> 00:35:43,560 Speaker 1: of like England's little brother that does whatever it's told. 629 00:35:43,600 --> 00:35:45,359 Speaker 1: I don't want to tell you, that's all I'm saying. 630 00:35:45,440 --> 00:35:48,400 Speaker 1: It could be nice Wales done. I'm telling you we 631 00:35:48,440 --> 00:35:50,839 Speaker 1: probably have a closet, huge Clay and Buck fan base 632 00:35:50,880 --> 00:35:54,839 Speaker 1: in Wales that you have alienated forever. Yeah, and they're there. 633 00:35:54,880 --> 00:35:56,640 Speaker 1: I know what word they're calling me right now, and 634 00:35:56,680 --> 00:35:59,239 Speaker 1: I definitely can't say it on the radio. Is it like, 635 00:35:59,800 --> 00:36:03,359 Speaker 1: is it like William the Prince of Wales? Yeah, isn't 636 00:36:03,360 --> 00:36:05,040 Speaker 1: that part of his title? But so you're like that, 637 00:36:05,200 --> 00:36:07,080 Speaker 1: you're like the Queen or the King and the Prince 638 00:36:07,120 --> 00:36:09,040 Speaker 1: of the whale. I no one can keep all this stuff. 639 00:36:09,360 --> 00:36:11,600 Speaker 1: I think that's right. Yeah, it does, doesn't even really 640 00:36:11,680 --> 00:36:14,560 Speaker 1: make any sense. Um, all right, we got another one, Tom, 641 00:36:14,640 --> 00:36:17,400 Speaker 1: Speaking of food, he's up on the celery tuna thing. Guys. 642 00:36:18,040 --> 00:36:20,200 Speaker 1: I discovered it during winters in California. Had been stuck 643 00:36:20,200 --> 00:36:23,000 Speaker 1: on it ever since. This from Tom, He says, I see, 644 00:36:23,000 --> 00:36:25,040 Speaker 1: Harry Palett may not have progressed along the way with 645 00:36:25,080 --> 00:36:28,080 Speaker 1: the rest of us. Tom. We are here to free 646 00:36:28,120 --> 00:36:32,400 Speaker 1: you from the propaganda of big Celery. Nobody wants Celery 647 00:36:32,440 --> 00:36:34,520 Speaker 1: and their tuna sound I'm telling you, man, it's just 648 00:36:34,920 --> 00:36:36,680 Speaker 1: you don't need it. Doesn't make it better. It's like 649 00:36:36,719 --> 00:36:40,320 Speaker 1: putting walnuts in your brownies. It's crazy. I'll defend big Celery. 650 00:36:40,480 --> 00:36:43,799 Speaker 1: Celery and peanut butter, amazing combo. Do you ever have 651 00:36:43,840 --> 00:36:48,359 Speaker 1: celery and peanut butter? Celery and peanut butter? You never 652 00:36:48,360 --> 00:36:50,399 Speaker 1: even heard of this? No, I just have peanut butter 653 00:36:50,440 --> 00:36:56,000 Speaker 1: on my carrots. Oh that sounds way worse. That does 654 00:36:56,040 --> 00:36:58,279 Speaker 1: sound kind of weird actually, but yeah, no, and on 655 00:36:58,360 --> 00:37:00,640 Speaker 1: peanut butter on the ago, blue cheese on my celery. 656 00:37:00,760 --> 00:37:02,959 Speaker 1: You know, well, that's good. Too. I mean, what's blue cheese? 657 00:37:03,000 --> 00:37:06,080 Speaker 1: Bad on? Blue cheese is like, it's hard to go 658 00:37:06,120 --> 00:37:09,080 Speaker 1: wrong with ranch on basically anything. As you can tell, 659 00:37:09,120 --> 00:37:10,319 Speaker 1: this is the part of the show where Clay and 660 00:37:10,320 --> 00:37:12,480 Speaker 1: Buck don't get to eat lunch, so we both get hungry. 661 00:37:12,880 --> 00:37:14,600 Speaker 1: We'll be with you tomorrow. I'll be in New York. 662 00:37:14,880 --> 00:37:22,040 Speaker 1: Talk to you. Then play Travis and Buck Sexton on 663 00:37:22,080 --> 00:37:23,839 Speaker 1: the front lines of tru