1 00:00:00,080 --> 00:00:02,560 Speaker 1: Third hour, I Clay and Bucks starts right now, everybody. 2 00:00:02,600 --> 00:00:07,560 Speaker 1: We have Florida Surgeon General, doctor Joseph Latipo with us. Now. 3 00:00:07,600 --> 00:00:12,160 Speaker 1: He's got a book out, Transcend Fear, a blueprint fun 4 00:00:12,680 --> 00:00:17,040 Speaker 1: blueprint for mindful leadership in public health. Whi's been out 5 00:00:17,079 --> 00:00:20,079 Speaker 1: for a couple of months, doctor Latipo. Honor to have 6 00:00:20,120 --> 00:00:23,040 Speaker 1: you on, sir. Thanks for making time for us. Hey, 7 00:00:23,079 --> 00:00:25,240 Speaker 1: thanks for having me on. I'm happy to be with 8 00:00:25,280 --> 00:00:29,200 Speaker 1: you guys right before Thanksgiving, Yes, sir. And one thing 9 00:00:29,200 --> 00:00:32,440 Speaker 1: we are not thankful for is doctor Anthony Fauci's leadership 10 00:00:32,520 --> 00:00:36,800 Speaker 1: during the pandemic. You may have seen him giving his 11 00:00:37,360 --> 00:00:41,080 Speaker 1: farewell speech of sorts today from the White House. What 12 00:00:41,320 --> 00:00:43,879 Speaker 1: is I mean? You're a Harvard trained MD, You're the 13 00:00:43,920 --> 00:00:46,440 Speaker 1: surgeon general of the state of Florida. You've looked at 14 00:00:46,720 --> 00:00:51,159 Speaker 1: the 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 00:00:54,920 --> 00:00:57,440 Speaker 1: mask up when you walk into places, that people should 17 00:00:57,440 --> 00:01:00,200 Speaker 1: consider masking, that they should all get the vaccine, that 18 00:01:00,240 --> 00:01:03,800 Speaker 1: the vaccine will keep anyone from dying. And there's a 19 00:01:03,800 --> 00:01:06,080 Speaker 1: whole lot more we could say, what do you say 20 00:01:06,120 --> 00:01:11,360 Speaker 1: as a medical professional. I say that I am stunned 21 00:01:11,600 --> 00:01:16,640 Speaker 1: by doctor Fauci's inability to adapt to data. You know, 22 00:01:16,720 --> 00:01:20,160 Speaker 1: in his comments, he said something about how it's too 23 00:01:20,200 --> 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 --> 00:01:30,600 Speaker 1: the people who aren't, he hates to see them get infected. Well, 26 00:01:30,640 --> 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 --> 00:01:42,959 Speaker 1: wanes rapidly. And that he's still not acknowledging that and 29 00:01:43,120 --> 00:01:47,520 Speaker 1: still playing mask, you know, charade mask. I don't know 30 00:01:47,600 --> 00:01:54,120 Speaker 1: whatever this silly masquerade is with masks is just it's 31 00:01:54,160 --> 00:01:57,280 Speaker 1: a it's a testament of why he cannot leave fast enough. 32 00:01:58,480 --> 00:02:01,920 Speaker 1: Doctor Latipo, appreciate you joining this is clay. Doctor Fauci 33 00:02:02,080 --> 00:02:05,880 Speaker 1: also said that he thinks people should test for COVID 34 00:02:06,040 --> 00:02:09,359 Speaker 1: before they get together with their friends and family for Thanksgiving. 35 00:02:09,800 --> 00:02:12,480 Speaker 1: It is two days until Thanksgiving. I can guarantee you 36 00:02:12,520 --> 00:02:15,840 Speaker 1: that the Travis family will not be testing before we 37 00:02:15,919 --> 00:02:19,400 Speaker 1: have Thanksgiving dinner. You've got I think two kids, maybe 38 00:02:19,520 --> 00:02:23,799 Speaker 1: three will the Lattipo family. You are obviously an a 39 00:02:23,840 --> 00:02:26,880 Speaker 1: steam physician. Will you be doing COVID tests before you 40 00:02:26,919 --> 00:02:30,000 Speaker 1: sit down for Thanksgiving dinner. The only thing is going 41 00:02:30,080 --> 00:02:33,120 Speaker 1: to be tested this week is going to be my 42 00:02:33,240 --> 00:02:36,760 Speaker 1: patience because our three boys are going to be running 43 00:02:37,160 --> 00:02:40,760 Speaker 1: all around with you know, pumps full of yummy pumpkin 44 00:02:40,800 --> 00:02:43,200 Speaker 1: pie from my wife and all that good stuff. You know, 45 00:02:43,800 --> 00:02:46,959 Speaker 1: it's really sad. It's just a he has a right 46 00:02:47,040 --> 00:02:50,440 Speaker 1: to believe that, of course, but it's just a testament 47 00:02:50,520 --> 00:02:54,800 Speaker 1: to how sad his vision of life is. You can't 48 00:02:54,880 --> 00:02:58,440 Speaker 1: just enjoy the beautiful time with people you love and 49 00:02:58,520 --> 00:03:02,079 Speaker 1: care about. You have to think about testing and what 50 00:03:02,200 --> 00:03:05,639 Speaker 1: maybe even masking or who knows whatever whatever else he's 51 00:03:05,680 --> 00:03:10,000 Speaker 1: suggesting before Thanksgiving. It's sad, and yeah, I feel in 52 00:03:10,080 --> 00:03:12,240 Speaker 1: some ways I feel bad for him that that's how 53 00:03:12,280 --> 00:03:16,360 Speaker 1: he sees Thanksgiving. I mean, it's just sad. Speaking of Florida, 54 00:03:16,400 --> 00:03:19,399 Speaker 1: certain General doctor Latipo and his book has Transcend Fear, 55 00:03:19,440 --> 00:03:22,680 Speaker 1: a Blueprint for mindful leadership in public health. Doctor Latipo 56 00:03:22,760 --> 00:03:26,959 Speaker 1: have a lot of doctors come forward. I mean, I 57 00:03:26,960 --> 00:03:28,680 Speaker 1: would assume it's easier for them in Florida than there 58 00:03:28,720 --> 00:03:31,239 Speaker 1: is in other places. I'm in Florida right now and 59 00:03:31,320 --> 00:03:34,480 Speaker 1: said that they're going to stand against some of the 60 00:03:34,520 --> 00:03:39,240 Speaker 1: madness that they're not going to pretend like the establishment 61 00:03:39,320 --> 00:03:41,680 Speaker 1: experts got everything right and that we should all still 62 00:03:41,720 --> 00:03:44,520 Speaker 1: go into every hospital with a little cloth mask on 63 00:03:44,640 --> 00:03:46,440 Speaker 1: all the time and all this stuff. I mean, have 64 00:03:46,520 --> 00:03:48,840 Speaker 1: you seen a change in the mentality of a lot 65 00:03:48,880 --> 00:03:51,839 Speaker 1: of your fellow physicians over let's say the last year 66 00:03:51,960 --> 00:03:55,560 Speaker 1: or so, as we've really seen everything that we were 67 00:03:55,600 --> 00:03:59,840 Speaker 1: told by the Fauci apparatus and the Biden administration just 68 00:04:00,240 --> 00:04:04,000 Speaker 1: not actually happen. I mean, everything fell apart. I'm going 69 00:04:04,040 --> 00:04:06,480 Speaker 1: to give you what I think might be a surprising answer, 70 00:04:06,520 --> 00:04:10,400 Speaker 1: and that answers no. And what the reason it's knows 71 00:04:10,480 --> 00:04:13,720 Speaker 1: because it's not new. Most of the doctors over the 72 00:04:13,760 --> 00:04:16,800 Speaker 1: past year who have opposed these policies, they haven't changed. 73 00:04:16,839 --> 00:04:20,919 Speaker 1: They've known that we've done many trials of masks and 74 00:04:21,120 --> 00:04:24,560 Speaker 1: they just have generally not been effective. They've known that 75 00:04:25,080 --> 00:04:29,279 Speaker 1: the vaccines aren't doing a good job at preventing infection, 76 00:04:30,080 --> 00:04:34,039 Speaker 1: but they are afraid to speak because of the repercussions. 77 00:04:34,480 --> 00:04:39,080 Speaker 1: And that's really the issue. That's what's behind it, and 78 00:04:39,360 --> 00:04:41,960 Speaker 1: there are consequences and it's it's a very real thing. 79 00:04:42,040 --> 00:04:45,719 Speaker 1: You've got boards of medicine trying to strip doctors of 80 00:04:45,760 --> 00:04:48,440 Speaker 1: their license, not because of anything they did with their 81 00:04:48,440 --> 00:04:52,200 Speaker 1: clinical care, but because they said the quote unquote wrong 82 00:04:52,279 --> 00:04:55,880 Speaker 1: thing on Facebook or Twitter. And that's the reality. That's 83 00:04:55,880 --> 00:04:59,599 Speaker 1: the reality that physicians are living with. I'm sure you're 84 00:04:59,600 --> 00:05:03,880 Speaker 1: familiar with the California law that was passed restricting essentially 85 00:05:04,160 --> 00:05:07,599 Speaker 1: threatening to punish doctors for saying the wrong things about 86 00:05:07,680 --> 00:05:11,919 Speaker 1: one specific issue, which is COVID nineteen. So unfortunately, no, 87 00:05:12,080 --> 00:05:17,680 Speaker 1: people's opinions haven't changed, But even more unfortunately, a lot 88 00:05:17,720 --> 00:05:22,000 Speaker 1: of doctors who are totally opposed to what doctor Fauchisman 89 00:05:22,120 --> 00:05:27,839 Speaker 1: saying are still afraid to speak up. Doctor Latipo, I'm 90 00:05:27,880 --> 00:05:31,360 Speaker 1: sure you have seen speaking on that fear. California has 91 00:05:31,400 --> 00:05:34,800 Speaker 1: tried to pass a law, and you moved from California 92 00:05:34,839 --> 00:05:37,240 Speaker 1: to the Free State of Florida, if I remember correctly, 93 00:05:37,760 --> 00:05:40,479 Speaker 1: California is trying to pass a law that could create 94 00:05:40,600 --> 00:05:45,880 Speaker 1: consequences for medical professionals who speak out against whatever the 95 00:05:46,560 --> 00:05:50,680 Speaker 1: preferred sciences at the moment. I'm just curious in general. 96 00:05:50,720 --> 00:05:53,840 Speaker 1: You probably remember when Fauci said, I am the science 97 00:05:54,440 --> 00:05:59,120 Speaker 1: isn't science about questioning everything? How quickly have we forgotten 98 00:05:59,160 --> 00:06:02,360 Speaker 1: that that's the merry goal of scientists is to rigorously 99 00:06:02,440 --> 00:06:06,680 Speaker 1: question everything lest you believe things that are untrue. And 100 00:06:06,839 --> 00:06:09,360 Speaker 1: how scary is it that we're trying to pass laws 101 00:06:09,400 --> 00:06:13,400 Speaker 1: now to essentially keep medical professionals from ever questioning the 102 00:06:13,480 --> 00:06:18,800 Speaker 1: consensus opinion. Well, it's terrible. It's terrible, and that is 103 00:06:18,839 --> 00:06:21,880 Speaker 1: exactly I mean that is at the core of science, 104 00:06:22,240 --> 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 00:06:32,480 --> 00:06:37,560 Speaker 1: tenets of science and they're things that motivated people like 107 00:06:37,680 --> 00:06:41,360 Speaker 1: me and many other people to pursue science. And unfortunately, 108 00:06:41,400 --> 00:06:45,159 Speaker 1: what's happening in California is they're trying to rewrite reality 109 00:06:45,560 --> 00:06:50,880 Speaker 1: to match their dystopian fantasy. And that's essentially what's happening, 110 00:06:50,960 --> 00:06:55,520 Speaker 1: and hopefully people will just realize that it's total nonsense 111 00:06:55,560 --> 00:06:58,800 Speaker 1: that they're doing there. It's being a doctor Joseph latipoet 112 00:06:58,839 --> 00:07:02,040 Speaker 1: Surgeon General of the State of Florida, and doctor Latipo 113 00:07:03,080 --> 00:07:07,160 Speaker 1: if somebody was willing to let's say, somebody out there thinks, 114 00:07:07,200 --> 00:07:10,320 Speaker 1: you know, wearing two masks, because Fauci says two masks 115 00:07:10,360 --> 00:07:12,280 Speaker 1: are great, it's going to keep them safe. But they're 116 00:07:12,280 --> 00:07:14,280 Speaker 1: at least willing to look at what data you have 117 00:07:14,360 --> 00:07:18,920 Speaker 1: access to. Say, when it came to mask mandates in schools, 118 00:07:19,120 --> 00:07:22,440 Speaker 1: we're two years into this, what could you point them to? 119 00:07:22,560 --> 00:07:25,800 Speaker 1: What could you tell them about the real numbers that 120 00:07:25,920 --> 00:07:30,960 Speaker 1: you saw in Florida during now two full years of 121 00:07:31,080 --> 00:07:33,920 Speaker 1: data collection when it came to schools that required masks 122 00:07:34,080 --> 00:07:38,320 Speaker 1: versus schools that did not. The Florida data has definitely 123 00:07:38,360 --> 00:07:43,280 Speaker 1: been supportive of the fact that in schools these masks 124 00:07:43,320 --> 00:07:47,720 Speaker 1: are doing basically nothing. And there are other studies. As 125 00:07:47,720 --> 00:07:50,720 Speaker 1: a doctor in California, doctor Tracy Hog, that's done a 126 00:07:50,720 --> 00:07:53,440 Speaker 1: ton of research on masks, she's debunked one of the 127 00:07:53,600 --> 00:07:57,480 Speaker 1: CDC studies where the CDC reported that the masks were 128 00:07:57,520 --> 00:08:00,920 Speaker 1: effective when they compared a couple of school districts. But 129 00:08:01,000 --> 00:08:04,160 Speaker 1: then you'll she looked and found it basically actually, if 130 00:08:04,160 --> 00:08:07,040 Speaker 1: you look further, they were only it only looked that 131 00:08:07,080 --> 00:08:10,040 Speaker 1: way because of the specific period of time to the CDC. Look, 132 00:08:10,480 --> 00:08:12,800 Speaker 1: why did they look during that time? Only who knows? 133 00:08:12,840 --> 00:08:14,400 Speaker 1: It's not that they were trying to put their finger 134 00:08:14,440 --> 00:08:17,960 Speaker 1: on the scale, is it? So it's really nonsense. The 135 00:08:18,080 --> 00:08:21,000 Speaker 1: air goes around, guys. If you're in a room, whether 136 00:08:21,000 --> 00:08:23,640 Speaker 1: you wear the mask or not, the air is coming out. 137 00:08:24,200 --> 00:08:28,120 Speaker 1: And there's even a randomized clinical trial that shows harms, 138 00:08:28,200 --> 00:08:30,920 Speaker 1: believe it or not, harms associated with cloth mask and 139 00:08:31,080 --> 00:08:36,160 Speaker 1: healthcare workers. So it's it's it's just a total barrel 140 00:08:36,280 --> 00:08:40,840 Speaker 1: of nonsense, just complete nonsense, this mask obsession, and they 141 00:08:40,880 --> 00:08:44,480 Speaker 1: cannot die soon enough. But unfortunately many of my colleagues 142 00:08:44,480 --> 00:08:48,240 Speaker 1: are trying to revive it this winter. Yeah, and so 143 00:08:48,240 --> 00:08:50,120 Speaker 1: that's the question that Buck and I have been asking, 144 00:08:50,240 --> 00:08:52,760 Speaker 1: how does this end? And that's the question we would 145 00:08:52,760 --> 00:08:54,840 Speaker 1: ask Fauci if he would ever come on with us. 146 00:08:54,880 --> 00:08:59,640 Speaker 1: You're saying, hey, this holiday season, I believe this is 147 00:08:59,679 --> 00:09:03,680 Speaker 1: now the third Thanksgiving we've had basically since COVID started. 148 00:09:03,679 --> 00:09:07,040 Speaker 1: If I'm doing the math correctly, Fauci saying, you still 149 00:09:07,080 --> 00:09:08,960 Speaker 1: need to take a COVID test. You should still be 150 00:09:09,000 --> 00:09:12,400 Speaker 1: wearing masks. If you're doing this in year three of COVID, 151 00:09:12,640 --> 00:09:15,400 Speaker 1: How does it ever end? Will it ever end? And 152 00:09:15,840 --> 00:09:18,000 Speaker 1: are you concerned? I think you are, just based on 153 00:09:18,000 --> 00:09:20,520 Speaker 1: the way that you answer that question, doctor Latipo, that 154 00:09:20,600 --> 00:09:23,720 Speaker 1: we can't just live and let live, because the people 155 00:09:23,760 --> 00:09:27,400 Speaker 1: who are still wearing masks, if they could, would demand 156 00:09:27,440 --> 00:09:30,120 Speaker 1: that all of us wear masks, including two and three 157 00:09:30,240 --> 00:09:32,320 Speaker 1: year olds, the minute that they have the power to 158 00:09:32,400 --> 00:09:36,880 Speaker 1: do so, well, You're you are dead on there, There's 159 00:09:37,160 --> 00:09:42,080 Speaker 1: no question about that. And I think people, first of all, 160 00:09:42,120 --> 00:09:47,400 Speaker 1: I think people just need to really be acquainted comfortable 161 00:09:47,520 --> 00:09:53,239 Speaker 1: with the scientific data from clinical trials. These these advocates 162 00:09:53,280 --> 00:09:57,200 Speaker 1: always point to these observational studies of the CDC quotes, 163 00:09:57,480 --> 00:10:02,120 Speaker 1: but clinical trials are really the gold stand and these masks. 164 00:10:02,520 --> 00:10:06,880 Speaker 1: Masks have done terrible almost in all of these clinical trials. 165 00:10:07,080 --> 00:10:10,160 Speaker 1: So people need to feel comfortable first of all that 166 00:10:10,440 --> 00:10:14,840 Speaker 1: they really, on a scientific basis, they're doing little to nothing. 167 00:10:15,280 --> 00:10:18,120 Speaker 1: And then the second part is just deciding that you're 168 00:10:18,120 --> 00:10:21,720 Speaker 1: not going to participate in these charades. And that's what 169 00:10:21,880 --> 00:10:24,040 Speaker 1: needs to happen. And I think if enough of us 170 00:10:24,080 --> 00:10:27,560 Speaker 1: do that, they'll they'll stop trying to work their weasel 171 00:10:27,640 --> 00:10:31,360 Speaker 1: their way back in with their mask recommendations, which later 172 00:10:31,400 --> 00:10:37,440 Speaker 1: become strong recommendations, which later become mandates, and all the 173 00:10:37,559 --> 00:10:41,240 Speaker 1: nonsense that we've seen over the past two years. Florida 174 00:10:41,280 --> 00:10:45,240 Speaker 1: certain General doctor Latipo his book Transcend Fear At a 175 00:10:45,280 --> 00:10:49,520 Speaker 1: Blueprint for Mindful Leadership in Public Health. Doctor Latipo. Thanks 176 00:10:49,520 --> 00:10:52,040 Speaker 1: for being with us. Hey, thanks so much. Guys. Happy 177 00:10:52,040 --> 00:10:55,440 Speaker 1: Thanksgiving guys, you too, no doubt, Happy Thanksgiving to you 178 00:10:55,600 --> 00:10:58,120 Speaker 1: as well. And thank goodness that if you live in 179 00:10:58,120 --> 00:11:00,160 Speaker 1: Florida you're still going to have some freedom. But think 180 00:11:00,200 --> 00:11:03,600 Speaker 1: about how crazy this is. There is no end to 181 00:11:04,040 --> 00:11:07,439 Speaker 1: this COVID insanity, which is why Buck and I continue 182 00:11:07,520 --> 00:11:10,800 Speaker 1: to hammer it here because they're coming for you. They're 183 00:11:10,800 --> 00:11:12,640 Speaker 1: coming for you with mass they're coming for you with 184 00:11:12,640 --> 00:11:14,920 Speaker 1: the vaccine mandates. As soon as these things come up 185 00:11:14,960 --> 00:11:18,120 Speaker 1: again in terms of cases, they are going to chase 186 00:11:18,200 --> 00:11:20,640 Speaker 1: you and they are going to demand that you submit. 187 00:11:20,760 --> 00:11:23,800 Speaker 1: We know this and it's starting to happen already. 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Buck. 212 00:12:50,720 --> 00:12:54,040 Speaker 1: I know you watched the US soccer game with your 213 00:12:54,080 --> 00:12:58,240 Speaker 1: brothers and the US managed to choke away what should 214 00:12:58,240 --> 00:13:00,240 Speaker 1: have been a win. You were a soccer coach in 215 00:13:00,360 --> 00:13:02,120 Speaker 1: high school back in the day. What did you think 216 00:13:02,600 --> 00:13:05,080 Speaker 1: of the penalty kick give up in the tie. I 217 00:13:05,080 --> 00:13:07,680 Speaker 1: would have had very harsh words for the defender who, 218 00:13:07,800 --> 00:13:11,360 Speaker 1: for no good reason foul Gareth Bale in the box 219 00:13:11,480 --> 00:13:13,880 Speaker 1: from behind when he would have had to make a 220 00:13:13,920 --> 00:13:17,040 Speaker 1: turn at the whole it was look, you know, you eat. 221 00:13:17,040 --> 00:13:19,520 Speaker 1: Nerves are a real thing at that level, even for 222 00:13:19,679 --> 00:13:22,720 Speaker 1: the top pros, and that looks like the guy just 223 00:13:22,800 --> 00:13:25,480 Speaker 1: kind of freaked out a little bit. It can happen. Um, 224 00:13:25,840 --> 00:13:27,320 Speaker 1: you know, it is what it is meant. This is 225 00:13:27,320 --> 00:13:29,600 Speaker 1: why I can't get too excited about usc US men's 226 00:13:29,600 --> 00:13:32,439 Speaker 1: soccer clay because they always just break my heart. Man, 227 00:13:32,440 --> 00:13:34,120 Speaker 1: they always just break my heart. Are they even gonna 228 00:13:34,120 --> 00:13:36,840 Speaker 1: make it out of the group? No? Does our audience care? 229 00:13:37,559 --> 00:13:41,400 Speaker 1: Five percent? Maybe? So, I think a huge percentage of 230 00:13:41,400 --> 00:13:44,079 Speaker 1: our audience On Friday, we'll be watching the USA against 231 00:13:44,160 --> 00:13:46,320 Speaker 1: England because I think everybody's gonna be Oh yeah, I 232 00:13:46,320 --> 00:13:50,920 Speaker 1: think a huge percentage because it's the day day after Yeah, 233 00:13:51,080 --> 00:13:53,400 Speaker 1: So you can let us know if you're actually watching 234 00:13:53,480 --> 00:13:55,240 Speaker 1: or if you think I'm crazy that a lot of 235 00:13:55,240 --> 00:13:58,199 Speaker 1: you will be watching. Um, but this ties in, but 236 00:13:58,960 --> 00:14:01,720 Speaker 1: can just wait real quick, Wales? I mean, are we 237 00:14:01,760 --> 00:14:05,600 Speaker 1: gonna lose two? Or tie the island of like Palau, 238 00:14:06,120 --> 00:14:09,600 Speaker 1: or you know, we Lichtenstein's got a kind of nasty 239 00:14:09,640 --> 00:14:12,480 Speaker 1: front line. They're gonna take us out. I'm sorry. It's Wales. 240 00:14:12,800 --> 00:14:16,640 Speaker 1: No one even thinks it's a country. It's true all 241 00:14:16,640 --> 00:14:18,400 Speaker 1: everything that he just said. And I hope we don't 242 00:14:18,400 --> 00:14:20,920 Speaker 1: have a monster listenership right now in Wales. It's just 243 00:14:21,040 --> 00:14:24,360 Speaker 1: losing their mind. Overseas. They've been all in on everything 244 00:14:24,400 --> 00:14:26,520 Speaker 1: we've set up till now, and now they're just done 245 00:14:26,520 --> 00:14:29,640 Speaker 1: with us. This ties in. I'm gonna be up at 246 00:14:29,680 --> 00:14:31,720 Speaker 1: the Big Game, as they call it, and it should 247 00:14:31,760 --> 00:14:34,680 Speaker 1: be pretty fantastic. Michigan against Ohio State part of the 248 00:14:34,720 --> 00:14:38,880 Speaker 1: big noon Fox kickoff show in Columbus, Ohio. We are 249 00:14:39,000 --> 00:14:42,000 Speaker 1: number one, I believe in Columbus, Ohio, so imagine a 250 00:14:42,040 --> 00:14:44,640 Speaker 1: lot of Buckeye fans will be there as well as 251 00:14:44,640 --> 00:14:48,920 Speaker 1: Michigan Wolverines. But I saw this. This literally has come 252 00:14:48,920 --> 00:14:52,200 Speaker 1: out since we started the show. I believe the NHL 253 00:14:52,400 --> 00:14:57,040 Speaker 1: official Twitter account National Hockey League. For those of you 254 00:14:57,120 --> 00:15:00,400 Speaker 1: out there that are not big sports fans, we did 255 00:15:00,600 --> 00:15:05,520 Speaker 1: a couple of hours ago. Trans women are women, trans 256 00:15:05,600 --> 00:15:11,600 Speaker 1: men are men, non binary identity is real. Now whatever 257 00:15:11,680 --> 00:15:14,280 Speaker 1: you think about this, I would just point out that 258 00:15:14,320 --> 00:15:17,440 Speaker 1: men can't get pregnant, and you are born with a 259 00:15:17,480 --> 00:15:20,600 Speaker 1: penis or a vagina, and that is your actual gender. 260 00:15:20,640 --> 00:15:22,920 Speaker 1: I would just point all this out as biological reality. 261 00:15:24,680 --> 00:15:28,720 Speaker 1: How is it that the NHL Twitter account has decided 262 00:15:28,760 --> 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 00:15:37,160 --> 00:15:39,600 Speaker 1: world over and this has been going on for years. 265 00:15:39,640 --> 00:15:43,440 Speaker 1: But I can't believe that anyone with a functional brain 266 00:15:43,480 --> 00:15:46,720 Speaker 1: buck would argue that a man should be able to 267 00:15:46,720 --> 00:15:49,640 Speaker 1: compete against a woman in women's sports just because the 268 00:15:49,640 --> 00:15:52,160 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 00:15:56,040 --> 00:16:00,720 Speaker 1: believers for whom the wiring of their brain is just 271 00:16:00,800 --> 00:16:04,880 Speaker 1: they're they're so flooded with the propaganda of the left, 272 00:16:04,920 --> 00:16:09,480 Speaker 1: and they're so desperate for acceptance by the leftist Marxist 273 00:16:09,520 --> 00:16:12,520 Speaker 1: elites that you know they actually believe this, Clay. But 274 00:16:12,640 --> 00:16:14,840 Speaker 1: I mean the vast majority of the people who go 275 00:16:15,160 --> 00:16:16,680 Speaker 1: I mean the ones who go along with this, I 276 00:16:16,680 --> 00:16:18,840 Speaker 1: mean our audience sitting you are saying, yeah, that's crazy. 277 00:16:19,040 --> 00:16:22,960 Speaker 1: But the people who go along with this it's just 278 00:16:23,040 --> 00:16:25,680 Speaker 1: cowardice that they just they don't want to be called 279 00:16:25,680 --> 00:16:28,080 Speaker 1: the bigot. They don't want to be told that they're 280 00:16:28,120 --> 00:16:31,200 Speaker 1: anti trands and all the rest of it. And so 281 00:16:31,360 --> 00:16:33,720 Speaker 1: there are just some of us. It falls upon some 282 00:16:33,800 --> 00:16:36,880 Speaker 1: of us to stand up and say, no, reality is 283 00:16:36,920 --> 00:16:39,360 Speaker 1: a thing. There are still some things that are true. 284 00:16:39,400 --> 00:16:41,360 Speaker 1: No matter how much it may hurt some people's feelings 285 00:16:41,480 --> 00:16:44,200 Speaker 1: or how much it doesn't let themself actualize or whatever. 286 00:16:44,720 --> 00:16:47,000 Speaker 1: There are things that are true, and we refuse to 287 00:16:47,040 --> 00:16:48,720 Speaker 1: let people tell us they're not true, just because they 288 00:16:48,800 --> 00:16:52,400 Speaker 1: really really believe them. I think there's also if you're 289 00:16:52,440 --> 00:16:55,200 Speaker 1: a sports fan at all, and if you have kids 290 00:16:55,200 --> 00:16:59,280 Speaker 1: and you've ever participated in youth sports, the idea of 291 00:17:00,040 --> 00:17:04,680 Speaker 1: men and women being equal in sports is so absurdly ridiculous. 292 00:17:04,920 --> 00:17:07,320 Speaker 1: Men are bigger, stronger, and faster than women. You have 293 00:17:07,359 --> 00:17:11,879 Speaker 1: weight classes in boxing, you have age limits in little league, 294 00:17:11,960 --> 00:17:14,280 Speaker 1: right Like I've coached little league baseball. If I got 295 00:17:14,280 --> 00:17:16,240 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 00:17:18,080 --> 00:17:19,600 Speaker 1: time he came up, if he was any good at all. 298 00:17:20,080 --> 00:17:22,119 Speaker 1: But that's not allowed. And if you tried to do 299 00:17:22,200 --> 00:17:27,399 Speaker 1: that parents would revolt. What's happening is overwhelmingly if you 300 00:17:27,440 --> 00:17:29,280 Speaker 1: have daughters, and you need to hear this, because it's 301 00:17:29,280 --> 00:17:33,080 Speaker 1: happening at some point over the next five to ten years. 302 00:17:33,200 --> 00:17:36,119 Speaker 1: If you are raising young girls, there is going to 303 00:17:36,160 --> 00:17:40,440 Speaker 1: be someone who identifies as a girl that is biologically male, 304 00:17:40,800 --> 00:17:44,120 Speaker 1: that is going to play in their district, in their school, 305 00:17:44,600 --> 00:17:47,800 Speaker 1: in their state, and it is going to fundamentally alter 306 00:17:48,240 --> 00:17:50,879 Speaker 1: fair play because men and men are bigger, stronger, and 307 00:17:50,880 --> 00:17:53,959 Speaker 1: faster than women. And the fact that this isn't allowed 308 00:17:54,000 --> 00:17:57,960 Speaker 1: to be said is I think a testament to what 309 00:17:58,600 --> 00:18:01,879 Speaker 1: an absurdly up down world, upside down world we live in. 310 00:18:02,240 --> 00:18:04,640 Speaker 1: And it gets me so fired up every time it happens. Buck, 311 00:18:04,680 --> 00:18:07,200 Speaker 1: But the NHL putting this out there is frankly indefensible. 312 00:18:07,960 --> 00:18:09,639 Speaker 1: If you're running a business that ships a lot of 313 00:18:09,680 --> 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 at stamps dot com. It truly 315 00:18:15,080 --> 00:18:17,679 Speaker 1: is your one stop shop for every last shipping and 316 00:18:17,720 --> 00:18:20,080 Speaker 1: mailing need you're gonna have this holiday season. 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Get started with stamps dot com today. 327 00:18:50,520 --> 00:18:52,520 Speaker 1: Sign up with promo code Clay and Buck for a 328 00:18:52,560 --> 00:18:55,000 Speaker 1: special offer that includes a four week trial plus free 329 00:18:55,000 --> 00:18:58,240 Speaker 1: postage and a free digital scale. No long term commitments. 330 00:18:58,520 --> 00:19:01,040 Speaker 1: Just go to stamps dot com, click the microphone at 331 00:19:01,040 --> 00:19:03,080 Speaker 1: the top of the page and enter Coat Clay and 332 00:19:03,160 --> 00:19:13,400 Speaker 1: Buck Get hooked up. Welcome back to Clay and Buck. 333 00:19:13,440 --> 00:19:16,280 Speaker 1: We mentioned the top of the show that there was 334 00:19:16,359 --> 00:19:21,840 Speaker 1: a veteran, Richard Fierro, who was able to help tackle 335 00:19:21,880 --> 00:19:25,760 Speaker 1: and subdue the mass murdering shooter at the Q nightclub 336 00:19:25,800 --> 00:19:30,480 Speaker 1: over the weekend. We actually have him explaining how he 337 00:19:30,560 --> 00:19:34,480 Speaker 1: was able to in Colorado's Springs tackle this shooter and 338 00:19:34,520 --> 00:19:38,320 Speaker 1: in doing so, likely save save lives. There were five 339 00:19:38,440 --> 00:19:40,840 Speaker 1: lives lost, but it could have been as we know 340 00:19:41,000 --> 00:19:43,440 Speaker 1: many more based on how many people were there and 341 00:19:44,600 --> 00:19:47,760 Speaker 1: the situation the circumstances they were playing out, But there 342 00:19:48,119 --> 00:19:51,080 Speaker 1: were a couple of heroes on the scene who stepped 343 00:19:51,160 --> 00:19:55,879 Speaker 1: up and neutralize the threat. Here is Army veteran Richard 344 00:19:55,880 --> 00:19:59,160 Speaker 1: Fieriro explaining how he did what he did and how 345 00:19:59,200 --> 00:20:01,520 Speaker 1: he stepped up to lives Play clip one. I saw 346 00:20:01,560 --> 00:20:05,359 Speaker 1: the ACU pattern fleck best and for me that was like, 347 00:20:05,400 --> 00:20:08,000 Speaker 1: there's a handle, I'm getting him. So I ran across 348 00:20:08,040 --> 00:20:11,880 Speaker 1: the room, grabbed the handle, pulled him down, and then 349 00:20:12,320 --> 00:20:15,080 Speaker 1: started to well, actually I think I went for his 350 00:20:15,200 --> 00:20:17,479 Speaker 1: gun with him. His rifle flew in front of him, 351 00:20:17,920 --> 00:20:19,720 Speaker 1: and the young man that tried to jump in there 352 00:20:19,760 --> 00:20:22,920 Speaker 1: with me, he we both either pulled him down or whatever, 353 00:20:23,000 --> 00:20:25,440 Speaker 1: but he ended up at his head and right next 354 00:20:25,440 --> 00:20:29,000 Speaker 1: to the aar. And then with the aar he I 355 00:20:29,000 --> 00:20:31,320 Speaker 1: told him, pushed the r get the away from him. 356 00:20:31,440 --> 00:20:33,920 Speaker 1: The kid pushed the r I don't know who his 357 00:20:34,080 --> 00:20:37,560 Speaker 1: name was, and then I proceeded to take his other 358 00:20:37,600 --> 00:20:40,119 Speaker 1: weapon and pistol and then just start hiting him at 359 00:20:40,160 --> 00:20:42,480 Speaker 1: where I could, but the armors in the way, and 360 00:20:42,520 --> 00:20:45,119 Speaker 1: I just started I found a crease in between his 361 00:20:45,640 --> 00:20:48,600 Speaker 1: armor and his head, and I just started weighing away 362 00:20:49,880 --> 00:20:52,200 Speaker 1: in doing so. Clay, this guy, this guy saved live, 363 00:20:52,280 --> 00:20:57,399 Speaker 1: stopped a mass shooting in progress by grabbing the body 364 00:20:57,520 --> 00:20:59,639 Speaker 1: armor of the shooter or dragging him to the ground 365 00:21:00,040 --> 00:21:01,840 Speaker 1: and finding a place where he could pummel him with 366 00:21:01,840 --> 00:21:05,760 Speaker 1: his bare hands. Good for him, and I applaud and 367 00:21:05,880 --> 00:21:08,920 Speaker 1: believe we should give attention to all of the heroes 368 00:21:09,119 --> 00:21:11,840 Speaker 1: who stop any sort of crimes like these. Is it 369 00:21:11,880 --> 00:21:14,879 Speaker 1: just me, Buck, or does it feel like this guy 370 00:21:15,000 --> 00:21:18,680 Speaker 1: the shooter's name is being used in the media much less. 371 00:21:18,720 --> 00:21:21,560 Speaker 1: The reason why I bring that up is the data 372 00:21:21,600 --> 00:21:27,480 Speaker 1: reflects that many mass shooters are motivated by the fame 373 00:21:27,560 --> 00:21:31,840 Speaker 1: and notoriety that they get in media coverage, usually get 374 00:21:32,000 --> 00:21:35,320 Speaker 1: front page profiles on their whole family. And it feels 375 00:21:35,359 --> 00:21:38,200 Speaker 1: to me like maybe the lightbulb moment is going off 376 00:21:38,320 --> 00:21:41,439 Speaker 1: and there's less attention now, although maybe I'm gonna end 377 00:21:41,520 --> 00:21:44,439 Speaker 1: up being wrong, but less attention in terms of the 378 00:21:44,680 --> 00:21:48,080 Speaker 1: name and the notoriety being given to these guys, because that, 379 00:21:48,119 --> 00:21:50,600 Speaker 1: to me is the one thing that those of us 380 00:21:50,600 --> 00:21:53,359 Speaker 1: with big platforms can work on. We try to do 381 00:21:53,400 --> 00:21:56,919 Speaker 1: that on the show, not publicize and make famous the 382 00:21:56,960 --> 00:22:01,280 Speaker 1: shooters and less there's somebody that these are looking for. Hey, 383 00:22:01,320 --> 00:22:04,439 Speaker 1: this person's on the run. I think that's obviously a 384 00:22:04,440 --> 00:22:08,439 Speaker 1: different scenario. But in terms of a captured shooter, I 385 00:22:08,440 --> 00:22:11,760 Speaker 1: don't think we should allow them to be famous. And 386 00:22:12,160 --> 00:22:15,480 Speaker 1: so there's the heroes who took down the shooter and 387 00:22:15,560 --> 00:22:18,320 Speaker 1: save lives in the process. We just heard from one 388 00:22:18,320 --> 00:22:22,080 Speaker 1: of them, Richard Fierro, their army veteran. You know, Clay 389 00:22:22,119 --> 00:22:24,680 Speaker 1: that the politicization of this, I know that it has 390 00:22:24,720 --> 00:22:29,400 Speaker 1: now just become what we expect, particularly from Democrats, when 391 00:22:29,400 --> 00:22:33,680 Speaker 1: it fits a certain narrative. Immediately it turns into this 392 00:22:33,800 --> 00:22:40,240 Speaker 1: crazy person did a thing and it was awful and horrible. Therefore, 393 00:22:41,119 --> 00:22:44,720 Speaker 1: because I don't like your politics on some unrelated issues, 394 00:22:45,200 --> 00:22:47,520 Speaker 1: you better bend the knee and agree to do what 395 00:22:47,560 --> 00:22:49,720 Speaker 1: we tell you to do, or else you're the reason 396 00:22:49,760 --> 00:22:52,240 Speaker 1: that this happened. I mean, it's say, we talked about 397 00:22:52,240 --> 00:22:55,240 Speaker 1: stochastic terrorism yesterday. Tucker mentioned it last night on his 398 00:22:55,280 --> 00:22:59,040 Speaker 1: show as well the opening monologue. And there really is 399 00:22:59,080 --> 00:23:03,920 Speaker 1: this effort to try, you know, to emotionally bludgeon people 400 00:23:04,000 --> 00:23:08,120 Speaker 1: into submission on things that have nothing to do with 401 00:23:08,200 --> 00:23:11,919 Speaker 1: an actual act of violence like this, and you know 402 00:23:11,920 --> 00:23:15,280 Speaker 1: you're seeing you saw this on a very different level. Obviously, 403 00:23:15,280 --> 00:23:17,600 Speaker 1: people no one lost their life. I mean, Paul Pelosi 404 00:23:17,760 --> 00:23:22,479 Speaker 1: is fine. But even after the Paul Pelosi assault, and 405 00:23:22,560 --> 00:23:25,080 Speaker 1: I know they're Look, here's an outstanding question that has 406 00:23:25,080 --> 00:23:27,280 Speaker 1: not been resolved about that, and people have a lot 407 00:23:27,280 --> 00:23:30,399 Speaker 1: of them. But there are two different law enforcement agencies 408 00:23:30,480 --> 00:23:33,800 Speaker 1: who have two different stated positions on whether Paul Pelosi 409 00:23:34,359 --> 00:23:38,600 Speaker 1: answered the door himself or not. That matters. It matters 410 00:23:38,640 --> 00:23:40,960 Speaker 1: from a security review perspective, It matters from it we 411 00:23:41,000 --> 00:23:44,320 Speaker 1: should know all the facts and the positioning of this perspective. 412 00:23:44,600 --> 00:23:47,000 Speaker 1: The more we learned about this guy, do do pap 413 00:23:47,119 --> 00:23:50,400 Speaker 1: for example, And this just all goes to how violence 414 00:23:50,440 --> 00:23:52,520 Speaker 1: the media will even it's not just when it fits 415 00:23:52,520 --> 00:23:55,080 Speaker 1: a narrative, they will mold the narrative. They will form 416 00:23:55,119 --> 00:23:57,520 Speaker 1: a narrative and then try to use it for political purposes, 417 00:23:57,560 --> 00:24:02,400 Speaker 1: explicitly political purposes. Do pay was a guy who said 418 00:24:02,400 --> 00:24:05,240 Speaker 1: he was Jesus, like literally said he was Jesus, lived 419 00:24:05,320 --> 00:24:08,600 Speaker 1: under a tree, thought he was living in a computer 420 00:24:08,720 --> 00:24:11,960 Speaker 1: simulation at one point, was a nine to eleven truther. 421 00:24:12,920 --> 00:24:17,920 Speaker 1: Um was was it was I think his like partner 422 00:24:18,040 --> 00:24:20,400 Speaker 1: slash you know, girlfriend was the nudist, but I think 423 00:24:20,400 --> 00:24:25,919 Speaker 1: he I'm not an expert on his nude practices, but 424 00:24:26,000 --> 00:24:28,040 Speaker 1: I'm just saying, you know, I think that she was 425 00:24:28,119 --> 00:24:30,560 Speaker 1: more of the but I mean he probably got did 426 00:24:30,560 --> 00:24:34,960 Speaker 1: some nudity. Yeah, he's an illegal alien nudist, uh lunatic 427 00:24:35,000 --> 00:24:36,840 Speaker 1: who thought he was Jesus, lived under a tree, thought 428 00:24:36,840 --> 00:24:40,280 Speaker 1: he was living a computer simulation. If they were being honest, 429 00:24:40,960 --> 00:24:42,480 Speaker 1: what they would do is they would say, these have 430 00:24:42,680 --> 00:24:45,120 Speaker 1: this is all the harm hallmarks of somebody with extreme 431 00:24:45,119 --> 00:24:49,119 Speaker 1: mental illness, likely an extreme level of schizophrenia or you know, 432 00:24:49,160 --> 00:24:52,880 Speaker 1: some form of personality disorder. And this is a guy 433 00:24:52,920 --> 00:24:55,359 Speaker 1: who honestly should be in a in a in a 434 00:24:55,520 --> 00:24:58,359 Speaker 1: you know, mental health facility, a criminal mental facility, but 435 00:24:58,400 --> 00:25:01,880 Speaker 1: one where he's instead it's well, you know he did 436 00:25:01,920 --> 00:25:05,960 Speaker 1: this and pizza gate qua non Trump. It's Trump's fault 437 00:25:05,960 --> 00:25:08,840 Speaker 1: and all of Trump's supporters fault. They have to be 438 00:25:08,840 --> 00:25:11,680 Speaker 1: held accountable by voters, which they said this right before 439 00:25:11,720 --> 00:25:15,879 Speaker 1: the election, for the violence against against Paul Pelosi. And 440 00:25:16,000 --> 00:25:18,480 Speaker 1: we sit here and it's like, you know, the left 441 00:25:18,560 --> 00:25:21,760 Speaker 1: actually justifies its political violence sometimes. I mean, we could 442 00:25:21,760 --> 00:25:23,880 Speaker 1: go back and look, you know, we sit here and say, look, 443 00:25:23,880 --> 00:25:25,920 Speaker 1: what happened to Paul Pelosi is horrible, and guys, he's 444 00:25:25,920 --> 00:25:28,159 Speaker 1: a senior citizen. He got hit with a hammer. He 445 00:25:28,160 --> 00:25:30,600 Speaker 1: almost died. It's awful. Right, if that was your grandpa, 446 00:25:30,640 --> 00:25:33,240 Speaker 1: my grandpa, we'd be you know, we'd be outraged and 447 00:25:33,280 --> 00:25:36,560 Speaker 1: we would want justice and anyway we all And that's 448 00:25:36,560 --> 00:25:40,520 Speaker 1: the that's the way the right feels and honestly and 449 00:25:40,560 --> 00:25:44,320 Speaker 1: the way the right feels about the shooting it happened 450 00:25:44,320 --> 00:25:48,679 Speaker 1: in Colorado Springs is that's heinous and evil. And the 451 00:25:48,760 --> 00:25:51,840 Speaker 1: Democrats turn around and say, anybody who still believes in 452 00:25:51,880 --> 00:25:54,320 Speaker 1: their Second Amendment rights, anybody who thinks it should, they're 453 00:25:54,440 --> 00:25:57,960 Speaker 1: part of this problem. Meanwhile, our audience of Second Amendment 454 00:25:58,040 --> 00:26:01,520 Speaker 1: rights supporters are all like, if I were there, I 455 00:26:01,520 --> 00:26:03,520 Speaker 1: would have risked my life to stop this shooter. I 456 00:26:03,560 --> 00:26:06,960 Speaker 1: would have been Richard Fierro. I would have risked myself 457 00:26:07,000 --> 00:26:12,719 Speaker 1: to save the lives of the LGBTQ individuals at this nightclub. 458 00:26:13,359 --> 00:26:16,000 Speaker 1: But that we're not allowed to actually understand that to 459 00:26:16,080 --> 00:26:18,240 Speaker 1: come together a society around that, it has to be 460 00:26:19,119 --> 00:26:21,880 Speaker 1: you being the right are the bad people, and you're 461 00:26:21,920 --> 00:26:24,480 Speaker 1: responsible for things that have nothing to do. You're responsible 462 00:26:24,480 --> 00:26:26,520 Speaker 1: for the guy who says he's Jesus and a computer 463 00:26:26,600 --> 00:26:30,320 Speaker 1: simulation attacking somebody in his underwear at two o'clock in 464 00:26:30,359 --> 00:26:33,440 Speaker 1: the morning. It's our story. The stories that disappear are 465 00:26:33,480 --> 00:26:38,440 Speaker 1: telling guy in Waukeshaw gets in a car mos through 466 00:26:38,480 --> 00:26:43,679 Speaker 1: a crowd of all white Christmas celebrants, probably based on 467 00:26:43,760 --> 00:26:47,639 Speaker 1: his background, clearly mentally ill, but it's also quite clear 468 00:26:47,720 --> 00:26:51,560 Speaker 1: that he also was racist, right like, and that story 469 00:26:51,560 --> 00:26:54,000 Speaker 1: almost completely disappears. And what do we call a person 470 00:26:54,040 --> 00:26:56,520 Speaker 1: who hates white people who says they hate white people? 471 00:26:56,560 --> 00:26:59,760 Speaker 1: I would call him a racist. Yeah, they're racists. But 472 00:26:59,800 --> 00:27:01,600 Speaker 1: it isn't it fascinating? There a lot of if you ask, 473 00:27:01,720 --> 00:27:03,480 Speaker 1: if you asked someone at CNN, what do you call 474 00:27:03,520 --> 00:27:07,840 Speaker 1: a person who's not white who says I hate white people? 475 00:27:08,359 --> 00:27:12,760 Speaker 1: They'd say somebody who is dealing with thee Well, that 476 00:27:13,119 --> 00:27:16,240 Speaker 1: they might make the argument, you can't be racist against 477 00:27:16,240 --> 00:27:20,720 Speaker 1: white people because white people have too much controls the argument. 478 00:27:20,800 --> 00:27:23,199 Speaker 1: So that's that's what they would argue. They would say racism. 479 00:27:23,240 --> 00:27:25,760 Speaker 1: That story vanished. And and by the way, there are 480 00:27:25,840 --> 00:27:30,400 Speaker 1: racist white, Black, Asian and Hispanic people. That sentence alone 481 00:27:30,680 --> 00:27:33,920 Speaker 1: would revolutionize the way we talk about racism. Almost no 482 00:27:33,960 --> 00:27:35,520 Speaker 1: one on the left would even say it. Let me 483 00:27:35,560 --> 00:27:37,159 Speaker 1: say it again, because it's clear and it's true and 484 00:27:37,200 --> 00:27:39,760 Speaker 1: you all know it. There are white, black, Asian and 485 00:27:39,920 --> 00:27:42,440 Speaker 1: Hispanic racists. Did you see did you see the woman 486 00:27:42,480 --> 00:27:46,480 Speaker 1: who was yelled at by an African American woman was 487 00:27:46,520 --> 00:27:49,160 Speaker 1: the one doing the yelling. And she was yelling at 488 00:27:49,200 --> 00:27:51,720 Speaker 1: a Asian American woman. This was on video just when 489 00:27:51,800 --> 00:27:54,439 Speaker 1: viral this week that she should well, I mean, she 490 00:27:54,480 --> 00:27:57,400 Speaker 1: was yelling all kinds of I mean, the worst kinds 491 00:27:57,400 --> 00:28:00,639 Speaker 1: of racism about the Asian woman's appearance. Yeah, about how 492 00:28:00,680 --> 00:28:03,920 Speaker 1: she should eat her dog with her you know, I mean, 493 00:28:03,960 --> 00:28:08,320 Speaker 1: just really gross stuff. Not a national news story. Went viral, 494 00:28:08,359 --> 00:28:10,600 Speaker 1: but not a national news story. Why is that, Clay? Yep, 495 00:28:10,960 --> 00:28:13,959 Speaker 1: that's my point. That story And to your point, how 496 00:28:13,960 --> 00:28:16,040 Speaker 1: about the kid? And I say kid, I think he 497 00:28:16,080 --> 00:28:19,680 Speaker 1: was like twenty two or twenty three in Indiana who 498 00:28:19,800 --> 00:28:23,560 Speaker 1: stopped the mass shooting in the mall by dropping the 499 00:28:23,640 --> 00:28:27,359 Speaker 1: guy almost immediately when he came out and started firing 500 00:28:27,440 --> 00:28:29,959 Speaker 1: in the food court. I believe it was outside Indianapolis, 501 00:28:30,000 --> 00:28:31,800 Speaker 1: if I'm not mistaken, thought it was from like thirty 502 00:28:31,880 --> 00:28:34,080 Speaker 1: yards out which with a pistols a damn good shot. 503 00:28:34,359 --> 00:28:38,120 Speaker 1: It was an incredible, incredible move by him that saved 504 00:28:38,200 --> 00:28:43,480 Speaker 1: countless lives. Story vanished almost immediately. If they don't fit 505 00:28:43,560 --> 00:28:49,320 Speaker 1: the prescribed media narrative, then those stories vanish almost instantaneously. 506 00:28:49,360 --> 00:28:51,640 Speaker 1: We know this because look as bad as the mass 507 00:28:51,680 --> 00:28:57,800 Speaker 1: shooting was in Colorado, every weekend, there are far more 508 00:28:57,880 --> 00:29:01,800 Speaker 1: people being shot and killed in cities and they don't 509 00:29:01,880 --> 00:29:05,840 Speaker 1: even get a blip of media attention. Again, you made 510 00:29:05,840 --> 00:29:07,960 Speaker 1: the point. I think it's such a good one. If 511 00:29:08,000 --> 00:29:10,480 Speaker 1: we eliminated every mass shooting in America, which I wish 512 00:29:10,520 --> 00:29:12,400 Speaker 1: we could do, I would be ecstatic, and I know 513 00:29:12,440 --> 00:29:14,680 Speaker 1: everybody out there listening would be ecstatic if that happened 514 00:29:14,680 --> 00:29:18,520 Speaker 1: as well. Murders would still be occurring in this country. 515 00:29:18,840 --> 00:29:22,920 Speaker 1: So think about what percentage of media attention for violent 516 00:29:23,000 --> 00:29:26,440 Speaker 1: crime goes to mass shooting as a percentage of the 517 00:29:26,520 --> 00:29:30,600 Speaker 1: overall violent crime that they represent relative to the mass 518 00:29:31,000 --> 00:29:33,760 Speaker 1: the massive amounts of violence that we just accept that 519 00:29:33,800 --> 00:29:37,800 Speaker 1: occurs all over this country and nobody even blinks or argues, hey, 520 00:29:37,840 --> 00:29:42,960 Speaker 1: let's stop this. But there's just also something so disgraceful 521 00:29:43,200 --> 00:29:50,160 Speaker 1: and underhanded and insidious about the every time there is 522 00:29:50,200 --> 00:29:56,360 Speaker 1: a shooting that the Democrat left antisecond amendment. You know, 523 00:29:57,680 --> 00:30:03,120 Speaker 1: authoritarian libs can manufacture it to some kind of assault 524 00:30:03,280 --> 00:30:06,560 Speaker 1: on everybody on It's not it's you agree with us 525 00:30:06,880 --> 00:30:09,440 Speaker 1: on all the following issues or your part of the problem. 526 00:30:09,880 --> 00:30:14,280 Speaker 1: They do it to immediately defame their political opponents right away. 527 00:30:14,760 --> 00:30:17,040 Speaker 1: It's not, Hey, do we all come together here? Do 528 00:30:17,080 --> 00:30:19,720 Speaker 1: we all understand how horrible this was? Are we standing 529 00:30:19,720 --> 00:30:23,160 Speaker 1: in solidarity with the victims in Colorado Springs? There are 530 00:30:23,160 --> 00:30:25,840 Speaker 1: fellow human beings, or fellow Americans or brothers and sisters. 531 00:30:25,920 --> 00:30:28,200 Speaker 1: Do we get to have that moment as a country. No, 532 00:30:28,640 --> 00:30:32,680 Speaker 1: it's immediately turned by the left into the right is evil. 533 00:30:33,000 --> 00:30:34,880 Speaker 1: There would be no guns and no murder if it 534 00:30:34,920 --> 00:30:37,640 Speaker 1: wasn't for the right. It is you, It is your fault. 535 00:30:37,720 --> 00:30:39,680 Speaker 1: They do this now all the time. Didn't you tell 536 00:30:39,720 --> 00:30:42,760 Speaker 1: me I think yesterday was the one year anniversary of Waukesha. Yep. 537 00:30:42,800 --> 00:30:45,360 Speaker 1: I didn't see anyone covering the one year anniversary of 538 00:30:45,360 --> 00:30:48,840 Speaker 1: the Waukesha mass murder by vehicle at a Christmas parade. 539 00:30:49,160 --> 00:30:53,040 Speaker 1: Yep he didn't, because again, the narrative is inconvenient. I 540 00:30:53,080 --> 00:30:54,760 Speaker 1: want to tell you, is we get ready one more 541 00:30:54,800 --> 00:30:56,920 Speaker 1: segment to come, but X Chair's biggest cell of the 542 00:30:57,000 --> 00:31:00,400 Speaker 1: year is here, So now you don't have any used 543 00:31:00,600 --> 00:31:02,880 Speaker 1: not to get yourself an X chair. With a deal 544 00:31:02,960 --> 00:31:05,440 Speaker 1: this good, you could get X chairs for everyone on 545 00:31:05,440 --> 00:31:09,560 Speaker 1: your Christmas list. X Chair six hundred dollars off up 546 00:31:09,600 --> 00:31:13,840 Speaker 1: to that right now six hundred dollars off, including a 547 00:31:13,960 --> 00:31:18,120 Speaker 1: free heat and massage unit, but only now through Cyber Monday, 548 00:31:18,600 --> 00:31:20,680 Speaker 1: so don't miss out on this chance to get the 549 00:31:20,720 --> 00:31:24,240 Speaker 1: most luxurious, the most comfortable, the most supportive, the most fashionable, 550 00:31:24,240 --> 00:31:27,720 Speaker 1: the most ergonomic amazing office chair. Save up to six 551 00:31:27,800 --> 00:31:31,280 Speaker 1: hundred dollars on your purchase. Your body and back deserve 552 00:31:31,360 --> 00:31:34,600 Speaker 1: this chair. You're gonna find yourself more comfortable, productive, and happier. 553 00:31:34,840 --> 00:31:36,720 Speaker 1: Buck and I both have this chair. We love it. 554 00:31:36,840 --> 00:31:40,959 Speaker 1: Incredible deal only available now through Cyber Monday. So if 555 00:31:40,960 --> 00:31:42,800 Speaker 1: you want to save up to six hundred bucks on 556 00:31:42,840 --> 00:31:46,400 Speaker 1: your X chair and receive a free heat and massage unit, 557 00:31:46,440 --> 00:31:49,479 Speaker 1: go to X chairclay dot com right now. That's the 558 00:31:49,560 --> 00:31:54,640 Speaker 1: letter X chair Clay dot com. X Chairclay dot Com 559 00:31:54,760 --> 00:31:58,000 Speaker 1: go today to save up to six hundred dollars on 560 00:31:58,200 --> 00:32:03,600 Speaker 1: an X chair Truth Compass pointing do right every day 561 00:32:04,000 --> 00:32:15,120 Speaker 1: the Clay Travis and Buck Sexton Show. Welcome back in 562 00:32:15,280 --> 00:32:19,320 Speaker 1: Clay Travis buck Sexton Show, closing out the Tuesday edition 563 00:32:19,600 --> 00:32:22,200 Speaker 1: of the program. Appreciate all of you hanging out with us. 564 00:32:22,280 --> 00:32:24,600 Speaker 1: Encourage you to go subscribe to the podcast. Make sure 565 00:32:24,640 --> 00:32:27,720 Speaker 1: you don't miss a moment. It is only two days 566 00:32:27,800 --> 00:32:30,120 Speaker 1: until Thanksgiving. Many of you probably gonna be hitting the road, 567 00:32:30,200 --> 00:32:33,360 Speaker 1: hitting the air. Be safe, including our own buck Sexton, 568 00:32:33,680 --> 00:32:36,840 Speaker 1: who is traveling to be with his family. And we 569 00:32:36,880 --> 00:32:39,040 Speaker 1: want to make sure you find us. Clay Travis buck Sexton. 570 00:32:39,040 --> 00:32:42,760 Speaker 1: You can listen to us anywhere. Do it today. I 571 00:32:42,880 --> 00:32:44,920 Speaker 1: just I want to start. You know, we're all gonna 572 00:32:44,960 --> 00:32:47,280 Speaker 1: be thankful in seeing family and it's great in America 573 00:32:47,320 --> 00:32:50,720 Speaker 1: and celebration all that. We gotta fight over something, the 574 00:32:50,760 --> 00:32:54,760 Speaker 1: most overrated Thanksgiving food. I gotta pull out right now, Clay. 575 00:32:55,160 --> 00:32:57,120 Speaker 1: And I gotta tell you the American people not taking 576 00:32:57,160 --> 00:33:00,560 Speaker 1: the bait because I put roles in there. No one 577 00:33:00,680 --> 00:33:05,400 Speaker 1: is saying roles. People love their roles. I think it's 578 00:33:05,520 --> 00:33:08,959 Speaker 1: maybe the staple. It's just my anti gluten propaganda. I 579 00:33:09,040 --> 00:33:11,480 Speaker 1: know you know I have celiac disease, so I'm hoping 580 00:33:11,480 --> 00:33:14,000 Speaker 1: I could convert everybody away from the gluten. People love 581 00:33:14,080 --> 00:33:16,960 Speaker 1: their roles, they're not having it. Only ten percent say roles. 582 00:33:17,600 --> 00:33:21,120 Speaker 1: I gotta say it's really between green bean casserole and 583 00:33:21,360 --> 00:33:25,760 Speaker 1: candied sweet potato, which are very regionalized. I will say 584 00:33:25,800 --> 00:33:29,600 Speaker 1: green bean casserole super popular, I think in your neck 585 00:33:29,640 --> 00:33:32,880 Speaker 1: of the woods, right because in the Northeast, candied sweet 586 00:33:32,920 --> 00:33:35,520 Speaker 1: potato up in New England's a big thing, the sweet 587 00:33:35,520 --> 00:33:38,480 Speaker 1: potato with the marshmallow, and people in the rest of 588 00:33:38,480 --> 00:33:40,480 Speaker 1: the country you're not having that. And twenty percent of 589 00:33:40,480 --> 00:33:43,200 Speaker 1: people saying turkey. But you know that's that's not really 590 00:33:43,240 --> 00:33:47,280 Speaker 1: catching on either. I am super anti green beans. I 591 00:33:47,360 --> 00:33:50,200 Speaker 1: don't like I think the food. What's the food that 592 00:33:50,840 --> 00:33:55,040 Speaker 1: now that you're an adult, you just and don't get told, hey, 593 00:33:55,120 --> 00:33:59,040 Speaker 1: eat this, it's healthy. I genuinely don't like green beans, 594 00:33:59,120 --> 00:34:01,800 Speaker 1: and I genuinely don't like carrots. I don't have any 595 00:34:01,800 --> 00:34:05,920 Speaker 1: interest in eating either. Sun dried tomatoes for me, I 596 00:34:06,000 --> 00:34:10,600 Speaker 1: like tomatoes. No, I like tomatoes, but sun dried tomatoes, 597 00:34:10,680 --> 00:34:14,960 Speaker 1: those sort of chewy little bags of bitterness. They put 598 00:34:15,000 --> 00:34:16,960 Speaker 1: that in food, and I'm always like, all I could 599 00:34:16,960 --> 00:34:19,239 Speaker 1: taste of sun dried tomato. I just I see it 600 00:34:19,239 --> 00:34:21,440 Speaker 1: on a menu and avoid I avoid it at all. 601 00:34:21,560 --> 00:34:23,200 Speaker 1: I don't have a strong I don't have a strong 602 00:34:23,239 --> 00:34:26,160 Speaker 1: reaction in that it's carrots. I also am very much 603 00:34:26,239 --> 00:34:31,120 Speaker 1: anti um little tiny chopped onions, you know, like the 604 00:34:31,120 --> 00:34:33,279 Speaker 1: ones that they'll put on top of. And I don't 605 00:34:33,280 --> 00:34:35,920 Speaker 1: like coconut shreds, you know, like cake. I'm always like 606 00:34:35,920 --> 00:34:38,200 Speaker 1: the cake would be way better without the coconut. Like 607 00:34:38,440 --> 00:34:42,239 Speaker 1: what is that called? Like, don't shredded coconut. There you go, 608 00:34:42,440 --> 00:34:45,520 Speaker 1: I'm very anti shredded coconut. Yeah. So people love their roles, 609 00:34:45,520 --> 00:34:47,719 Speaker 1: but green being cast role and candied sweet potato in 610 00:34:47,719 --> 00:34:49,200 Speaker 1: a big fight. We've also, by the way, go to 611 00:34:49,239 --> 00:34:52,719 Speaker 1: Clambuck dot com plea's become v I P subscribers got 612 00:34:52,719 --> 00:34:54,600 Speaker 1: a bunch of emails in I wanted to address some 613 00:34:54,640 --> 00:34:58,720 Speaker 1: of these. First one up Clay Penelope, like you guys 614 00:34:59,040 --> 00:35:02,479 Speaker 1: and your show, but you dis Wales. Not to be fair, 615 00:35:02,680 --> 00:35:05,719 Speaker 1: I've been making jokes about Wales, not Clay, anything at 616 00:35:05,719 --> 00:35:08,200 Speaker 1: all bad about not by the way, not the animal, 617 00:35:08,480 --> 00:35:11,440 Speaker 1: the part of part of Great Britain, w A l 618 00:35:12,000 --> 00:35:14,479 Speaker 1: es right, Wales is a beautiful country. The fastening history. 619 00:35:14,560 --> 00:35:16,560 Speaker 1: Some of my ancestors work the coal mines there before 620 00:35:16,600 --> 00:35:18,800 Speaker 1: emigrating to PA. I'm thankful for the wealth Geans and 621 00:35:18,840 --> 00:35:22,920 Speaker 1: my family Happy Thanksgiving. I'm not dissing Whales or saying 622 00:35:23,400 --> 00:35:25,920 Speaker 1: it's not a beautiful place with lovely people. I probably 623 00:35:25,960 --> 00:35:28,760 Speaker 1: have some Welsh ancestry myself. I'm just my my twenty 624 00:35:28,760 --> 00:35:31,719 Speaker 1: three me is super boring. It's England, Ireland, and that's it. 625 00:35:32,920 --> 00:35:36,759 Speaker 1: But yeah, it's just that, you know, is it I mean, 626 00:35:36,880 --> 00:35:38,879 Speaker 1: is it like really a country. I mean it's kind 627 00:35:38,880 --> 00:35:40,600 Speaker 1: of part of the kind of part of England. I'm 628 00:35:40,600 --> 00:35:42,759 Speaker 1: just saying, it's kind of like England's little brother that 629 00:35:42,760 --> 00:35:44,520 Speaker 1: does whatever it's told. I don't want to tell you, 630 00:35:44,719 --> 00:35:47,719 Speaker 1: that's all I'm saying. It could be nice Wales done. 631 00:35:47,760 --> 00:35:50,040 Speaker 1: I'm telling you we probably have a closet, huge Clay 632 00:35:50,040 --> 00:35:54,200 Speaker 1: and Buck fan base in Wales that you have alienated forever. Yeah, 633 00:35:54,239 --> 00:35:56,200 Speaker 1: and they're there. I know what word they're calling me 634 00:35:56,280 --> 00:35:58,280 Speaker 1: right now, and I definitely can't say it on the radio. 635 00:35:58,719 --> 00:36:02,920 Speaker 1: Is it like, is it like William the Prince of Whales? Yeah, 636 00:36:03,160 --> 00:36:05,080 Speaker 1: isn't that part of his title? But so you're like that, 637 00:36:05,200 --> 00:36:07,120 Speaker 1: you're like the queen or the king and the Prince 638 00:36:07,120 --> 00:36:09,080 Speaker 1: of the whale. I no one can keep all this stuff. 639 00:36:09,360 --> 00:36:11,680 Speaker 1: I think that's right. Yeah, it does, doesn't even really 640 00:36:11,680 --> 00:36:14,600 Speaker 1: make any sense. Um, all right, we got another one Tom. 641 00:36:14,680 --> 00:36:17,440 Speaker 1: Speaking of food, he's up on the celery tuna thing. Guys. 642 00:36:18,080 --> 00:36:20,239 Speaker 1: I discovered it during winters in California have been stuck 643 00:36:20,239 --> 00:36:23,040 Speaker 1: on it ever since. This from Tom. He says, I see, 644 00:36:23,040 --> 00:36:25,080 Speaker 1: Harriet Palett may not have progressed along the way with 645 00:36:25,120 --> 00:36:28,120 Speaker 1: the rest of us. Tom. We are here to free 646 00:36:28,160 --> 00:36:32,440 Speaker 1: you from the propaganda of big celery. Nobody wants celery 647 00:36:32,440 --> 00:36:34,560 Speaker 1: in their tuna. Sound I'm telling you, man, it's just 648 00:36:34,920 --> 00:36:36,719 Speaker 1: you don't need it, doesn't make it better. It's like 649 00:36:36,760 --> 00:36:40,360 Speaker 1: putting walnuts in your brownies. It's crazy. I'll defend big celery. 650 00:36:40,520 --> 00:36:43,840 Speaker 1: Celery and peanut butter, amazing combo. Do you ever have 651 00:36:43,880 --> 00:36:48,399 Speaker 1: celery and peanut butter? Celery and peanut butter? You never 652 00:36:48,400 --> 00:36:50,439 Speaker 1: even heard of this? No, I just have peanut butter 653 00:36:50,480 --> 00:36:56,040 Speaker 1: on my carrots. Oh that sounds way worse. That does 654 00:36:56,040 --> 00:36:58,879 Speaker 1: sound kind of weird actually, but yeah, no, peanut butter 655 00:36:58,920 --> 00:37:00,960 Speaker 1: on the ago. Blue cheese on my celery, you know, 656 00:37:01,000 --> 00:37:03,200 Speaker 1: well that's good too. I mean, what's blue cheese bad 657 00:37:03,239 --> 00:37:06,480 Speaker 1: on blue Cheese is like, it's hard to go wrong 658 00:37:06,560 --> 00:37:09,239 Speaker 1: with ranch on basically anything. As you can tell, this 659 00:37:09,280 --> 00:37:10,560 Speaker 1: is the part of the show where Clay and Buck 660 00:37:10,640 --> 00:37:12,520 Speaker 1: don't get to eat lunch, so we both get hungry. 661 00:37:12,920 --> 00:37:14,640 Speaker 1: We'll be with you tomorrow. I'll be in New York. 662 00:37:14,920 --> 00:37:22,080 Speaker 1: Talk to you. Then play Travis and Buck Sexton on 663 00:37:22,120 --> 00:37:24,000 Speaker 1: the front lines of truth.