1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of The Clay Travis and Buck 2 00:00:03,360 --> 00:00:07,200 Speaker 1: Sexton Show podcast. This is the Clay Travis and Buck 3 00:00:07,240 --> 00:00:11,680 Speaker 1: Sexton Show. Guest toasting today from the Pacific Northwest Radio 4 00:00:11,800 --> 00:00:17,000 Speaker 1: and podcast Dost and digital media strategist DoD Herman. Thank 5 00:00:17,079 --> 00:00:19,919 Speaker 1: you for such a beautiful opening. And the phone number 6 00:00:20,000 --> 00:00:21,960 Speaker 1: is eight hundred two eight two two eight eight two. 7 00:00:22,079 --> 00:00:26,680 Speaker 1: Question for you? Is President Trump making a mistake when 8 00:00:26,760 --> 00:00:30,400 Speaker 1: he continues to back and promotes and break about the 9 00:00:30,520 --> 00:00:34,960 Speaker 1: MR and injections Ron de Santis has chosen a different path? 10 00:00:36,280 --> 00:00:39,440 Speaker 1: Should it affect people's boats? Eight two eight eight two. 11 00:00:39,520 --> 00:00:43,120 Speaker 1: I asked the question because this is something that's been 12 00:00:43,200 --> 00:00:46,680 Speaker 1: evident for quite some time, that's to me, And I 13 00:00:46,720 --> 00:00:48,680 Speaker 1: got a little bit of trouble back in the day 14 00:00:49,400 --> 00:00:52,239 Speaker 1: in radio not not here and not filling in for 15 00:00:52,280 --> 00:00:54,400 Speaker 1: the mahaw God rest him no, but in other places 16 00:00:54,800 --> 00:00:58,040 Speaker 1: for saying things like this stuff doesn't stop transmission or infection. 17 00:00:58,200 --> 00:01:01,800 Speaker 1: When it came out, then would say, hey, that's a 18 00:01:01,840 --> 00:01:05,280 Speaker 1: conspiracy theory. And I would say is it? Because I'm 19 00:01:05,280 --> 00:01:08,920 Speaker 1: reading the SEC documentation, the security exchange documentations for these 20 00:01:08,920 --> 00:01:10,839 Speaker 1: companies and it seems to me to be quite clear 21 00:01:10,880 --> 00:01:13,200 Speaker 1: and evident that in fact, they know that's not what 22 00:01:13,240 --> 00:01:17,720 Speaker 1: these things do. And then there is just this logic. 23 00:01:17,959 --> 00:01:19,919 Speaker 1: And if you were listening to last Hour, I offered 24 00:01:19,959 --> 00:01:23,160 Speaker 1: this metaphor of a security consultant coming to your house 25 00:01:23,800 --> 00:01:27,360 Speaker 1: and saying, hey, let's secure your house against burglary and 26 00:01:27,480 --> 00:01:30,600 Speaker 1: break in, and their solution being your house has thirty 27 00:01:30,600 --> 00:01:34,720 Speaker 1: six windows, and they say, well, let's let's let's put 28 00:01:34,760 --> 00:01:38,200 Speaker 1: an alarm in special locks on three of those windows 29 00:01:38,760 --> 00:01:42,320 Speaker 1: and one of your three doors. And but what about 30 00:01:42,319 --> 00:01:45,280 Speaker 1: the others? What would leave those open? And if you 31 00:01:45,400 --> 00:01:48,680 Speaker 1: heard that, you would say, this person is a clown 32 00:01:49,680 --> 00:01:54,320 Speaker 1: because securing this small number of windows and openings in 33 00:01:54,400 --> 00:01:57,040 Speaker 1: my house and leaving ninety percent of them open is 34 00:01:57,200 --> 00:02:01,640 Speaker 1: child's place, stupidity. Why would you do that? That is 35 00:02:01,800 --> 00:02:07,440 Speaker 1: these injections. That is what the mRNA does. It hijacks 36 00:02:07,440 --> 00:02:10,680 Speaker 1: your genes into building this spike protein some forty two 37 00:02:10,720 --> 00:02:14,000 Speaker 1: trillion at a time. It has never ever done what 38 00:02:14,040 --> 00:02:15,560 Speaker 1: they said it was going to do. Oh, it's it's 39 00:02:15,600 --> 00:02:17,360 Speaker 1: going to stay at the point of the injection. No, 40 00:02:17,440 --> 00:02:21,600 Speaker 1: it can't. It's your genes. The spike protein is not 41 00:02:21,680 --> 00:02:25,320 Speaker 1: injected in you. It's code that caused your body into 42 00:02:25,320 --> 00:02:28,680 Speaker 1: producing them, that goes into you. That's what it is. 43 00:02:29,760 --> 00:02:33,240 Speaker 1: And it then because of that, it's not blocking the 44 00:02:33,320 --> 00:02:38,360 Speaker 1: other parts of the virus. Okay, that the virus is 45 00:02:38,360 --> 00:02:40,440 Speaker 1: not the spike protein that happens to be the most 46 00:02:40,440 --> 00:02:44,400 Speaker 1: poisonous or cite a toxic part. But it's not the 47 00:02:44,560 --> 00:02:48,200 Speaker 1: entire thing. This has always been known. It's always been 48 00:02:48,240 --> 00:02:52,320 Speaker 1: a design flaw. It's completely predictable. So but who am I. 49 00:02:52,320 --> 00:02:55,160 Speaker 1: I'm a rodeo clown, that's it. I'm a guy who 50 00:02:55,160 --> 00:02:58,880 Speaker 1: looks at powdern recognition. I was blessed. God blessed me 51 00:02:58,919 --> 00:03:02,079 Speaker 1: to work in tech into and to steward some intelligence 52 00:03:02,120 --> 00:03:06,920 Speaker 1: to understand how to read technical documents. Okay, but America's 53 00:03:07,080 --> 00:03:11,400 Speaker 1: top doctor and in budding top psychopath, he is trained 54 00:03:11,440 --> 00:03:14,720 Speaker 1: in this. And as I've said for nearly three years, 55 00:03:15,320 --> 00:03:18,520 Speaker 1: Tony Fauci knows what he's doing. He knows what he's done. 56 00:03:18,919 --> 00:03:23,120 Speaker 1: He knew these injections would make the COVID variants last forever. 57 00:03:25,160 --> 00:03:27,480 Speaker 1: As he says here in clip number seven, that do 58 00:03:27,520 --> 00:03:31,320 Speaker 1: you get an enhancement effect? Mainly there have been a 59 00:03:31,440 --> 00:03:36,120 Speaker 1: number of vaccines too, in particular dangee and RESPIRATORI sincitual virus, 60 00:03:36,560 --> 00:03:40,480 Speaker 1: and the vaccine induces a suboptimal response, and when a 61 00:03:40,520 --> 00:03:44,480 Speaker 1: person gets exposed, they actually have an enhanced hap the 62 00:03:44,520 --> 00:03:47,520 Speaker 1: genesis of the disease, which is always worse. Since who 63 00:03:47,560 --> 00:03:51,200 Speaker 1: want to make sure that that doesn't happen. That was 64 00:03:51,240 --> 00:03:59,400 Speaker 1: in May twelfth, on May twelve of twenty twenty. He 65 00:03:59,480 --> 00:04:04,680 Speaker 1: knew it then because the design existed then. And so 66 00:04:04,720 --> 00:04:08,320 Speaker 1: when you examine the fact that the more boosted people are, 67 00:04:08,360 --> 00:04:11,920 Speaker 1: the more vulnerable they are to this covid flu and 68 00:04:12,160 --> 00:04:15,960 Speaker 1: the subsequent variants, you have this forever disease. And what 69 00:04:16,200 --> 00:04:19,520 Speaker 1: is the response? Continue to get injected time and time 70 00:04:19,560 --> 00:04:22,320 Speaker 1: and time and time again. And let's boil this back down. 71 00:04:23,560 --> 00:04:26,120 Speaker 1: If you went to an auto repair shop because your 72 00:04:26,120 --> 00:04:28,600 Speaker 1: car was making a weird sound, and you went in 73 00:04:28,640 --> 00:04:31,200 Speaker 1: and they said, okay, we've isolated this and it was 74 00:04:31,240 --> 00:04:34,080 Speaker 1: your shock absorbers, and so we've we've gone in and 75 00:04:34,120 --> 00:04:37,120 Speaker 1: fixed them. Oh okay, great, thanks, and you left and 76 00:04:37,320 --> 00:04:40,880 Speaker 1: three weeks later the sound came back and you called 77 00:04:40,920 --> 00:04:43,240 Speaker 1: the bichanics and said, hey, what's the deal, what's going on? Oh, 78 00:04:43,279 --> 00:04:44,680 Speaker 1: you know what, We're just gonna need you to bring 79 00:04:44,720 --> 00:04:48,200 Speaker 1: it in every three weeks you could say, no, you're frauds. 80 00:04:49,080 --> 00:04:51,800 Speaker 1: But we're at this point now where people so believe 81 00:04:51,920 --> 00:04:54,880 Speaker 1: in it, are so bought into these injections that boost 82 00:04:54,880 --> 00:04:58,600 Speaker 1: boost boost boost boost, this reaches a point of diminishing return. 83 00:04:59,400 --> 00:05:02,839 Speaker 1: Bodies are bodies, and you can only load them up 84 00:05:02,880 --> 00:05:06,120 Speaker 1: with so much toxicity. Now that's a concern, and it's 85 00:05:06,120 --> 00:05:08,080 Speaker 1: a major one, But the bigger one is this. And 86 00:05:08,120 --> 00:05:11,200 Speaker 1: this is something that is unbelievably disturbing to me that 87 00:05:11,240 --> 00:05:13,479 Speaker 1: we cannot get the Mockingbird media to report on this. 88 00:05:13,560 --> 00:05:18,000 Speaker 1: It is unbelievably disturbing. It's the excess death. It is 89 00:05:18,040 --> 00:05:22,000 Speaker 1: the excess all cause mortality. It is things like this, 90 00:05:22,160 --> 00:05:25,880 Speaker 1: and I want to respect the family, but it's news. 91 00:05:26,839 --> 00:05:29,600 Speaker 1: Um Dak's tera was a thirty seven year old man 92 00:05:29,680 --> 00:05:34,560 Speaker 1: who worked for George Stepanopolos, and he died of a 93 00:05:34,640 --> 00:05:39,040 Speaker 1: heart attack. This guy was so fit. If you saw 94 00:05:39,080 --> 00:05:41,479 Speaker 1: a picture of this guy, and I did, he was 95 00:05:41,680 --> 00:05:46,880 Speaker 1: unbelievably fit, lean, muscle, He obviously looked like it was 96 00:05:46,920 --> 00:05:49,320 Speaker 1: in great cardership. Not a target for a heart attack. 97 00:05:49,520 --> 00:05:53,440 Speaker 1: If it was just this guy, Okay, that's that's that's axiomatic. 98 00:05:53,680 --> 00:05:59,880 Speaker 1: That it's not proof there are athletes after athletes, elite 99 00:06:00,040 --> 00:06:02,400 Speaker 1: athlete after an elite athlete that are showing up with 100 00:06:02,440 --> 00:06:05,480 Speaker 1: these things that are driven by what are these fibrous 101 00:06:05,520 --> 00:06:08,839 Speaker 1: cloths in their bodies. This is the greatest scandal medically 102 00:06:08,880 --> 00:06:12,240 Speaker 1: that has ever ever existed. It can go on and 103 00:06:12,320 --> 00:06:15,160 Speaker 1: continue to kill. And it's not just thirty seven year olds. 104 00:06:15,240 --> 00:06:17,880 Speaker 1: How about a nine year old boy. There's a nine 105 00:06:17,920 --> 00:06:21,480 Speaker 1: year old boy named Colton Austin. I'm gonna say his 106 00:06:21,560 --> 00:06:26,200 Speaker 1: name the correctly, Colton Austin, Bertram Windrum, nine years old, 107 00:06:26,680 --> 00:06:29,960 Speaker 1: and he died suddenly, which is of course a phrase 108 00:06:30,040 --> 00:06:33,320 Speaker 1: now in culture, and it should be suffering a sudden 109 00:06:33,360 --> 00:06:37,200 Speaker 1: blood clot in his brain. Again, it's one case, but 110 00:06:37,320 --> 00:06:41,240 Speaker 1: it's not. It's multiplied across hundreds and hundreds and more 111 00:06:41,320 --> 00:06:45,680 Speaker 1: than that people, and it will continue to metastasize in 112 00:06:45,760 --> 00:06:51,440 Speaker 1: people's bodies. Fauci didn't perhaps know that this would be 113 00:06:51,480 --> 00:06:54,840 Speaker 1: an outcome. I want to believe that Fauci didn't know 114 00:06:54,880 --> 00:06:56,960 Speaker 1: that this would be an outcome. But it is an outcome, 115 00:06:57,120 --> 00:07:00,480 Speaker 1: and it's an outcome that is being staunchly ignored. And 116 00:07:00,560 --> 00:07:02,440 Speaker 1: one of the things you'll hear me talk about is 117 00:07:02,440 --> 00:07:06,000 Speaker 1: that to some degree we are all scientists. One of 118 00:07:06,080 --> 00:07:09,440 Speaker 1: the great magic tricks of credentialism is making it so 119 00:07:09,480 --> 00:07:12,480 Speaker 1: we don't get to participate in scientific debate because of 120 00:07:12,520 --> 00:07:15,080 Speaker 1: course we're not scientists. And that's right. If we're going 121 00:07:15,120 --> 00:07:17,920 Speaker 1: to talk about the chemical structure of this or that 122 00:07:18,960 --> 00:07:21,760 Speaker 1: of this or this you know, nucloid in the body, 123 00:07:21,840 --> 00:07:24,000 Speaker 1: or if you're going to ask me to explain what 124 00:07:24,240 --> 00:07:26,880 Speaker 1: are these lipid anount of particles where it's a coding 125 00:07:26,880 --> 00:07:30,480 Speaker 1: of fact that allows these particles to bypass the immune system, 126 00:07:30,640 --> 00:07:33,360 Speaker 1: But what are they? What's their chemical compound? Draw them out? 127 00:07:33,400 --> 00:07:37,040 Speaker 1: I can't, but we can look at patterns when the 128 00:07:37,120 --> 00:07:41,280 Speaker 1: injections were pushed into societies, the all cause mortality went up, 129 00:07:41,320 --> 00:07:45,640 Speaker 1: the spontaneous abortions or people losing babies went up. Still 130 00:07:45,640 --> 00:07:48,960 Speaker 1: burst one up. We're seeing heart disease and desk from 131 00:07:48,960 --> 00:07:51,360 Speaker 1: heart disease in people where that doesn't occur, and we're 132 00:07:51,400 --> 00:07:58,080 Speaker 1: seeing covering. There are multiple attempts they've made to explain 133 00:07:58,120 --> 00:08:01,200 Speaker 1: away the heart attacks and young people. It was the weather. First, 134 00:08:01,200 --> 00:08:03,960 Speaker 1: it was the hot weather because people weren't drinking enough 135 00:08:03,960 --> 00:08:06,120 Speaker 1: water and that can dry out your blood and thicken it. 136 00:08:06,440 --> 00:08:08,800 Speaker 1: That's why people were dying. Then it was the cold 137 00:08:08,800 --> 00:08:12,720 Speaker 1: weather because people weren't prepared to shovel snow. There are 138 00:08:12,720 --> 00:08:17,080 Speaker 1: now articles circulating that it's artificial sweeteners, but those have 139 00:08:17,160 --> 00:08:20,200 Speaker 1: been in circulation for way too long in society, and 140 00:08:20,360 --> 00:08:23,160 Speaker 1: I drank some this morning. I drank a monster drink 141 00:08:23,880 --> 00:08:27,840 Speaker 1: with artificial sweeteners in it. And it's cover after cover. 142 00:08:28,080 --> 00:08:33,320 Speaker 1: So what we can do is pattern recognition. This stuff is, 143 00:08:33,400 --> 00:08:36,880 Speaker 1: in my judgments, killing people. And I want to know, 144 00:08:36,960 --> 00:08:39,120 Speaker 1: do you think the President Trump is he making a 145 00:08:39,160 --> 00:08:43,040 Speaker 1: mistake by continuing to tout them? And do you think 146 00:08:43,120 --> 00:08:45,880 Speaker 1: Ron the Santis is just being a political opportunist or 147 00:08:45,920 --> 00:08:48,199 Speaker 1: do you think he sincerely thinks that these are harming people? 148 00:08:48,520 --> 00:08:51,360 Speaker 1: It's eight two eight eight two. But we can also 149 00:08:51,360 --> 00:08:54,520 Speaker 1: look at other forms of pattern recognition, and it's vital 150 00:08:54,559 --> 00:08:58,679 Speaker 1: to get this because organizations that culture comes from the top. 151 00:09:00,160 --> 00:09:02,040 Speaker 1: We can switch straight over. It is going to be 152 00:09:02,080 --> 00:09:04,240 Speaker 1: the same dynamic. Watch It's going to be the same 153 00:09:04,320 --> 00:09:08,480 Speaker 1: dynamic we know and have known, of those of us 154 00:09:08,480 --> 00:09:10,840 Speaker 1: who've covered this and known it and covered it for 155 00:09:11,080 --> 00:09:15,160 Speaker 1: almost a decade, we have known that the conning of 156 00:09:15,240 --> 00:09:17,720 Speaker 1: kids into believing they're born in the wrong body, the 157 00:09:17,800 --> 00:09:23,640 Speaker 1: medicalization of what is a psychological issue. The medicalization, the 158 00:09:23,760 --> 00:09:27,440 Speaker 1: surgeries for this, the hormones for this, does not help. 159 00:09:28,559 --> 00:09:31,640 Speaker 1: We have known that ninety two to ninety five percent 160 00:09:31,679 --> 00:09:34,440 Speaker 1: of kids who get confused or gender to fives are 161 00:09:34,480 --> 00:09:37,640 Speaker 1: just desperately seeking away to not be uncomfortable in their 162 00:09:37,640 --> 00:09:41,640 Speaker 1: own bodies. We know that they will eventually adjust back 163 00:09:42,160 --> 00:09:45,319 Speaker 1: and be okay with their biological sex. We know this. 164 00:09:46,480 --> 00:09:50,320 Speaker 1: That has never stopped this juggernaut of continuing to con 165 00:09:50,440 --> 00:09:56,079 Speaker 1: kids about their gender. We know that the surgeries require 166 00:09:56,200 --> 00:09:59,120 Speaker 1: follow up after follow up. We know these things. A 167 00:09:59,240 --> 00:10:02,360 Speaker 1: man named Rachel Levin, who is second in charge of HHS, 168 00:10:02,679 --> 00:10:05,600 Speaker 1: he recently said in an interview that if he had 169 00:10:05,640 --> 00:10:09,160 Speaker 1: gone through his so called sex shane surgery and hormonal 170 00:10:09,200 --> 00:10:12,559 Speaker 1: treatments as a younger man, he wouldn't have his children. 171 00:10:13,400 --> 00:10:16,320 Speaker 1: He's the same guy who wants to sentence other people's 172 00:10:16,400 --> 00:10:19,679 Speaker 1: kids to that. And yeah, this man named Rachel evin 173 00:10:19,720 --> 00:10:22,000 Speaker 1: those kids are too young to understand the stakes of 174 00:10:22,080 --> 00:10:24,880 Speaker 1: being sterilized. But he demands that people be censored for 175 00:10:25,000 --> 00:10:29,840 Speaker 1: saying that. So. Health professionals have a critical role to play. 176 00:10:30,280 --> 00:10:33,080 Speaker 1: We must continue and to expand their work to address 177 00:10:33,600 --> 00:10:38,760 Speaker 1: health misinformation directly with their patients. Now this includes but 178 00:10:38,840 --> 00:10:42,080 Speaker 1: it goes beyond COVID nineteen. So I'd like to just 179 00:10:42,160 --> 00:10:47,160 Speaker 1: talk briefly about another area a substantial misinformation that is 180 00:10:47,200 --> 00:10:50,640 Speaker 1: directly impacting health equity in our nation, and that is 181 00:10:50,640 --> 00:10:53,520 Speaker 1: the health equity of sexual and gender minorities. There is 182 00:10:53,600 --> 00:10:58,280 Speaker 1: substantial misinformation about gender affirming care for transgender and gender 183 00:10:58,280 --> 00:11:02,079 Speaker 1: diverse individuals our in the station facing an onslaught of 184 00:11:02,240 --> 00:11:05,599 Speaker 1: anti LGBTQI plus actions at the state levels across the 185 00:11:05,720 --> 00:11:08,880 Speaker 1: United States, and they are dangerous to the public health. 186 00:11:09,840 --> 00:11:12,760 Speaker 1: The positive value of gender affirming care for youth and 187 00:11:12,800 --> 00:11:17,880 Speaker 1: adults is not in scientific or medical dispute, So we 188 00:11:17,960 --> 00:11:21,760 Speaker 1: all need to work together to get our voices out 189 00:11:21,880 --> 00:11:24,240 Speaker 1: in the front line. We need to get our voices 190 00:11:24,280 --> 00:11:28,440 Speaker 1: in the public eye. And we know how effective our 191 00:11:28,600 --> 00:11:31,839 Speaker 1: medical community can be talking to communities, whether it's at 192 00:11:31,840 --> 00:11:36,440 Speaker 1: town halls, schools, conversations with others. And we need to 193 00:11:36,559 --> 00:11:39,960 Speaker 1: use our clinicians voice to collectively advocate for our tech 194 00:11:40,000 --> 00:11:44,640 Speaker 1: companies to create a healthier, cleaner information environment during a 195 00:11:44,720 --> 00:11:47,199 Speaker 1: moment when public trust in our leaders and our information 196 00:11:47,920 --> 00:11:52,400 Speaker 1: is very challenged. The healthcare worker community, the medical community 197 00:11:52,840 --> 00:11:55,160 Speaker 1: does I believe maintain a high degree of trust, and 198 00:11:55,200 --> 00:11:59,040 Speaker 1: we have to utilize that. We have to utilize it effectively. 199 00:12:00,080 --> 00:12:03,320 Speaker 1: That man is lying, that man has said something that 200 00:12:03,440 --> 00:12:07,080 Speaker 1: isn't true, that man is dealing in disinformation. Now this 201 00:12:07,120 --> 00:12:09,600 Speaker 1: stuff is very much in debate, and in fact, if 202 00:12:09,640 --> 00:12:12,240 Speaker 1: you're not taking money to shop kids up and the 203 00:12:12,320 --> 00:12:14,440 Speaker 1: shoot them up, you know, and some of the people 204 00:12:14,440 --> 00:12:16,920 Speaker 1: who are doing it, no, do you see the similarities. 205 00:12:17,840 --> 00:12:20,040 Speaker 1: We'll come back and get to some phone calls on 206 00:12:20,080 --> 00:12:23,360 Speaker 1: the Clay Travis and Buck Sexton Show. An exclusive interview 207 00:12:23,440 --> 00:12:25,679 Speaker 1: with a guy who's now back on Twitter. He has 208 00:12:25,679 --> 00:12:28,880 Speaker 1: been vindicated, a doctor who was stricken from that's Todd Herman. 209 00:12:28,960 --> 00:12:35,640 Speaker 1: And for Clay Travis and Buck Sexton, I wonder if 210 00:12:35,640 --> 00:12:39,360 Speaker 1: Elon musk knew he was buying an intelligence operation and 211 00:12:39,480 --> 00:12:42,000 Speaker 1: a crime scene when he bought Twitter. I think he's 212 00:12:42,000 --> 00:12:43,920 Speaker 1: backed into being I called him the Man of the 213 00:12:44,000 --> 00:12:47,160 Speaker 1: Year and perhaps accidentally, perhaps accidentally, coming up, we're gonna 214 00:12:47,280 --> 00:12:50,320 Speaker 1: talk with a doctor who found himself disappeared from Twitter, which, 215 00:12:50,360 --> 00:12:52,880 Speaker 1: by the way, can also really affect your career, your 216 00:12:52,880 --> 00:12:55,319 Speaker 1: ability to get a job in academia, your ability to 217 00:12:55,360 --> 00:12:58,000 Speaker 1: work at hospitals because people use that DAW's resumes, Oh 218 00:12:58,040 --> 00:13:01,200 Speaker 1: you're so dangerous. Well, he's been vindicated and you're going 219 00:13:01,240 --> 00:13:03,920 Speaker 1: to hear from him exclusively here on the Clay, Travis 220 00:13:03,920 --> 00:13:06,280 Speaker 1: and Buck section shows taught Herman filling in eight hundred 221 00:13:06,320 --> 00:13:09,160 Speaker 1: two to eight eight two. We're just talking about, in 222 00:13:09,240 --> 00:13:11,880 Speaker 1: my judgment, the fact, well he admitted it. I think 223 00:13:11,880 --> 00:13:14,800 Speaker 1: that Fauchi knew that these injections wouldn't not only not 224 00:13:14,920 --> 00:13:18,040 Speaker 1: stop infection and transmission, but in fact could make these 225 00:13:18,120 --> 00:13:23,000 Speaker 1: variants more common and more virulent. Katie in North Carolina, 226 00:13:23,240 --> 00:13:25,880 Speaker 1: do you think that President Trump is making a mistake? 227 00:13:26,360 --> 00:13:29,000 Speaker 1: Not are continuing to back these injections and welcome to 228 00:13:29,600 --> 00:13:34,600 Speaker 1: claim Bucks show has taught Herman high Katie, Right, Um, yes, 229 00:13:34,920 --> 00:13:38,079 Speaker 1: I do think he's making a mistake. However, I think 230 00:13:38,200 --> 00:13:41,679 Speaker 1: that because he came up with the idea of the 231 00:13:42,040 --> 00:13:44,960 Speaker 1: you know, his whole thing about making the shots in 232 00:13:44,960 --> 00:13:47,920 Speaker 1: the first place, he kind of feels like he has to, 233 00:13:49,080 --> 00:13:52,280 Speaker 1: I don't know, go with it. Maybe he's always being 234 00:13:52,360 --> 00:13:56,320 Speaker 1: trash for everything he does, right, so, oh yeah, the 235 00:13:56,360 --> 00:13:58,520 Speaker 1: media trash is them. I just Katie, I think he 236 00:13:58,600 --> 00:14:00,559 Speaker 1: was I think they well, I don't think he was 237 00:14:00,640 --> 00:14:03,679 Speaker 1: lied to and the man tried to save thirty million 238 00:14:03,679 --> 00:14:06,640 Speaker 1: American lives. I think that's a pretty solid thing for 239 00:14:06,679 --> 00:14:09,280 Speaker 1: him to stand on. I'm not accusing him of being 240 00:14:09,280 --> 00:14:13,480 Speaker 1: involved in the skullduggery, no, no, no, I understand that. 241 00:14:13,640 --> 00:14:17,920 Speaker 1: But I think that he's so defensive because no matter 242 00:14:17,960 --> 00:14:23,160 Speaker 1: what he does, they they trash him. Right. He can't 243 00:14:23,160 --> 00:14:26,480 Speaker 1: do anything right, and so he's defensive and he kind 244 00:14:26,480 --> 00:14:29,960 Speaker 1: of needs to let that go a little bit, you know. 245 00:14:30,600 --> 00:14:33,800 Speaker 1: I think that's part of his problem. But as far 246 00:14:33,840 --> 00:14:37,400 Speaker 1: as everything else goes, I backed Trump. I think he 247 00:14:37,480 --> 00:14:40,360 Speaker 1: did a wonderful job. And I think if anybody put 248 00:14:40,440 --> 00:14:43,880 Speaker 1: themselves in his shoes and did everything that he did, 249 00:14:43,960 --> 00:14:46,840 Speaker 1: and no matter what he did, he was constantly beat up. 250 00:14:46,840 --> 00:14:49,520 Speaker 1: The family was beat up, and so it gets old, 251 00:14:49,720 --> 00:14:53,080 Speaker 1: you get defensive, you get it back goes up, and 252 00:14:53,200 --> 00:14:57,120 Speaker 1: you get kind of ugly and some things that you 253 00:14:57,200 --> 00:15:00,320 Speaker 1: said he shouldn't do that, but he does. Yeah, get that. 254 00:15:00,400 --> 00:15:01,800 Speaker 1: I would like to see him. I would like to 255 00:15:01,840 --> 00:15:04,480 Speaker 1: see him turn that Trump offense that only he can 256 00:15:04,520 --> 00:15:07,400 Speaker 1: produce onto Fauci and Burkes and people like that. I 257 00:15:07,440 --> 00:15:10,560 Speaker 1: appreciate you, Katie Gega with you. Appreciate you calling guy's 258 00:15:10,560 --> 00:15:14,440 Speaker 1: shows the Guy's show. Ron in South Carolina, You're on 259 00:15:14,520 --> 00:15:17,160 Speaker 1: the Clay Travis buck Section show. Welcome is Todderman filling 260 00:15:17,200 --> 00:15:19,360 Speaker 1: in Hi Ron, We have about about a minute together. 261 00:15:19,440 --> 00:15:23,400 Speaker 1: Welcome Helly Todd. Happy New Year to you. And I 262 00:15:23,680 --> 00:15:25,960 Speaker 1: just wanted to say I think that Trump is making 263 00:15:25,960 --> 00:15:30,040 Speaker 1: a mistake by not admitting that the handling of the 264 00:15:30,080 --> 00:15:34,720 Speaker 1: COVID situation and the vaccines was wrong, simply because it 265 00:15:34,840 --> 00:15:39,360 Speaker 1: makes him look narcissistic. And I would like to see 266 00:15:39,440 --> 00:15:41,680 Speaker 1: him I don't. I can't think of one time where 267 00:15:41,720 --> 00:15:45,040 Speaker 1: he's ever admitted that he made a mistake, and I 268 00:15:45,120 --> 00:15:46,720 Speaker 1: think that it would go a long way with the 269 00:15:46,840 --> 00:15:50,280 Speaker 1: voters and softening their feelings toward him if he said, Hey, 270 00:15:50,320 --> 00:15:52,440 Speaker 1: you know what, I might have handled that situation with 271 00:15:52,840 --> 00:15:56,360 Speaker 1: the whole COVID thing a little wrong. That took some 272 00:15:56,440 --> 00:15:58,800 Speaker 1: bad advice, but this is how we're gonna fix it 273 00:15:59,160 --> 00:16:02,840 Speaker 1: and have a plan going forward. I think the ironic 274 00:16:02,880 --> 00:16:05,760 Speaker 1: thing about that, Ron, and I agree with you. I 275 00:16:05,800 --> 00:16:08,680 Speaker 1: think the ironic thing about that is President Trump's instincts 276 00:16:08,680 --> 00:16:11,240 Speaker 1: were right about this from the very beginning. He didn't 277 00:16:11,280 --> 00:16:13,520 Speaker 1: trust Fouchy, he shouldn't have. He didn't want to do 278 00:16:13,560 --> 00:16:17,080 Speaker 1: the lockdowns. He is absolutely right to this day. If 279 00:16:17,120 --> 00:16:22,000 Speaker 1: we had not gone through these insane, medically useless, politically advantageous, 280 00:16:22,040 --> 00:16:25,920 Speaker 1: politically targeted lockdowns, we would have had this thing would 281 00:16:25,960 --> 00:16:29,280 Speaker 1: have come and gone fairly quickly. But of course we 282 00:16:29,280 --> 00:16:33,320 Speaker 1: couldn't do that because almighty government. And I do think 283 00:16:33,320 --> 00:16:34,680 Speaker 1: the President, I don't think he needs to say I 284 00:16:34,720 --> 00:16:36,160 Speaker 1: made a mistake. I think he needs to say I 285 00:16:36,200 --> 00:16:39,880 Speaker 1: got conned. Imagine this. Imagine that you went through medical school, 286 00:16:39,880 --> 00:16:42,880 Speaker 1: that all that entails, all the sleepless nights, all the money, 287 00:16:43,680 --> 00:16:45,760 Speaker 1: or all the time, and you had a social media 288 00:16:45,760 --> 00:16:49,080 Speaker 1: company come and effectively say you're too dangerous to practice medicine. 289 00:16:49,120 --> 00:16:59,160 Speaker 1: That's next. So just imagine something you've spent your career, 290 00:17:00,040 --> 00:17:04,359 Speaker 1: any expertise and a reputation hold that thoughts Todd Herman 291 00:17:04,440 --> 00:17:07,640 Speaker 1: filling in for Clay Travis and Buck Sexton, and we'll 292 00:17:07,640 --> 00:17:09,679 Speaker 1: get back to some of the conversation about this President 293 00:17:09,720 --> 00:17:12,760 Speaker 1: Trump making a mistake by continuing to back the injections. 294 00:17:12,760 --> 00:17:16,320 Speaker 1: But let's return to that scenario. You've spent your lifetime 295 00:17:16,560 --> 00:17:22,520 Speaker 1: building a reputation as a plumber, as a lawyer, as 296 00:17:22,560 --> 00:17:26,800 Speaker 1: a teacher, as a man or a woman, and a 297 00:17:26,880 --> 00:17:29,800 Speaker 1: social media company comes along and says you are so 298 00:17:30,000 --> 00:17:35,280 Speaker 1: dangerous that you shouldn't be allowed to offer your thoughts 299 00:17:35,320 --> 00:17:42,879 Speaker 1: and your opinions on plumbing, instructing children, in being a friend. 300 00:17:43,080 --> 00:17:46,560 Speaker 1: You're too dangerous, You're too toxic, and let's say that sticks. 301 00:17:48,200 --> 00:17:50,399 Speaker 1: How do you feel and where do you go to 302 00:17:50,440 --> 00:17:53,920 Speaker 1: regain the respect that the Good Lord had helped you earn? 303 00:17:54,320 --> 00:17:58,119 Speaker 1: Where do you get that? Well, this happens to a 304 00:17:58,160 --> 00:18:01,120 Speaker 1: friend of mine, doctor Andrew Boston. It's a retired physician. 305 00:18:01,600 --> 00:18:04,440 Speaker 1: He's still affiliated with a Brown University Center for Primary 306 00:18:04,480 --> 00:18:08,160 Speaker 1: Care and Prevention. He was Associate Professor of Medicine, Family Medicine. 307 00:18:08,200 --> 00:18:11,639 Speaker 1: And we can go through the resume, including scientific achievements, 308 00:18:11,680 --> 00:18:15,320 Speaker 1: one of the largest peer reviewed studies on kidney issues 309 00:18:15,320 --> 00:18:17,960 Speaker 1: and kidney trans both kidney transplant recipients. We can go 310 00:18:18,000 --> 00:18:22,160 Speaker 1: through that, the expert witness status, the filling of amicus 311 00:18:22,240 --> 00:18:26,320 Speaker 1: briefs about masked dictats, etc. With COVID. But he found 312 00:18:26,400 --> 00:18:30,680 Speaker 1: himself accused by social media company of being so dangerous 313 00:18:30,720 --> 00:18:32,880 Speaker 1: that he couldn't be allowed to a pawn on that platform. 314 00:18:32,920 --> 00:18:37,040 Speaker 1: That social media company was Twitter. He's recently been vindicated 315 00:18:37,280 --> 00:18:40,920 Speaker 1: and now doctor Andrew Boston joins us exclusively on the 316 00:18:41,000 --> 00:18:43,040 Speaker 1: Clay Travis and Buck Sexton Show and you get to 317 00:18:43,040 --> 00:18:45,840 Speaker 1: talk to you again. Welcome to Clay and Buck Show. 318 00:18:45,840 --> 00:18:47,879 Speaker 1: Thanks so much for having me on, TOD appreciate it. 319 00:18:48,320 --> 00:18:50,760 Speaker 1: Always a pleasure. How did you find out that you 320 00:18:50,840 --> 00:18:53,280 Speaker 1: were a such a dangerous man? And did Twitter give 321 00:18:53,280 --> 00:18:55,360 Speaker 1: you any warnings so that you could stop being such 322 00:18:55,400 --> 00:19:00,879 Speaker 1: an extremist? Well, yes they did. Credit if I if 323 00:19:00,880 --> 00:19:03,679 Speaker 1: I have to give them some credit, Um, yeah, they 324 00:19:03,720 --> 00:19:07,760 Speaker 1: they did. They did give me a warning. Um. Back 325 00:19:07,760 --> 00:19:12,440 Speaker 1: in June, they had suspended my my account. Um. And 326 00:19:12,760 --> 00:19:16,879 Speaker 1: it was so bizarre that even dealing with their I 327 00:19:16,880 --> 00:19:18,320 Speaker 1: had to I had to go to an attorney at 328 00:19:18,320 --> 00:19:19,440 Speaker 1: the time because it was a you know, it was 329 00:19:19,440 --> 00:19:24,000 Speaker 1: a complete suspension. Um. I literally quoted um and then 330 00:19:24,080 --> 00:19:27,920 Speaker 1: slightly paraphrased a published peer of viewed paper which simply 331 00:19:28,040 --> 00:19:31,600 Speaker 1: suggested that there might be a transient or perhaps not 332 00:19:31,680 --> 00:19:35,879 Speaker 1: so transient to climb in sperm count uh, in relation 333 00:19:36,040 --> 00:19:39,199 Speaker 1: to the vaccination. It was a study of Israeli um 334 00:19:39,520 --> 00:19:43,840 Speaker 1: seamen donors, young young men. Yeah, and I actually downplayed 335 00:19:43,840 --> 00:19:46,560 Speaker 1: the findings because when you read through the paper more carefully, 336 00:19:47,080 --> 00:19:50,439 Speaker 1: the statistical analyses suggested that this was it could be 337 00:19:50,480 --> 00:19:54,359 Speaker 1: a longer term effect. It wasn't well controlled, it was 338 00:19:54,400 --> 00:19:57,240 Speaker 1: just sort of provocative. Um. But it was published in 339 00:19:57,240 --> 00:19:59,159 Speaker 1: a peer of viewed journal called I think it was 340 00:19:59,160 --> 00:20:02,280 Speaker 1: called the Journal Event Drology, which is respected in its field, 341 00:20:02,720 --> 00:20:05,760 Speaker 1: and I simply summarize the findings with a link to 342 00:20:05,840 --> 00:20:11,720 Speaker 1: the paper, UM, so that that suspension was reverse again. 343 00:20:11,760 --> 00:20:15,720 Speaker 1: It took. It took a lawyer's letter. It's actually actually 344 00:20:15,880 --> 00:20:18,920 Speaker 1: I connected with Alex Marrison and his attorney, James Lawrence, 345 00:20:18,960 --> 00:20:22,199 Speaker 1: wrote a strong letter, as lawyers do, and you know, 346 00:20:22,240 --> 00:20:24,760 Speaker 1: that was taken care of basically within twenty four hours 347 00:20:24,760 --> 00:20:27,400 Speaker 1: of member saving the letter. But two weeks after that, 348 00:20:27,800 --> 00:20:32,080 Speaker 1: I was citing. I was citing some data from both 349 00:20:32,160 --> 00:20:39,000 Speaker 1: adult and pediatric vaccine trial data. Um. You know, literally 350 00:20:39,119 --> 00:20:42,120 Speaker 1: from in the case of the of the pediatric trial data. 351 00:20:42,160 --> 00:20:45,879 Speaker 1: It was literally from the CDC presentation that the that 352 00:20:45,920 --> 00:20:48,920 Speaker 1: the drug companies have to make in this case fiser um. 353 00:20:49,240 --> 00:20:53,400 Speaker 1: And all it showed was that they you know, these 354 00:20:53,400 --> 00:20:57,199 Speaker 1: are these are small studies relative to the low impact 355 00:20:57,280 --> 00:21:01,239 Speaker 1: of COVID, particularly in healthy population particul the children, and 356 00:21:01,320 --> 00:21:03,679 Speaker 1: so they had no hospitalizations in the entire study. So 357 00:21:03,760 --> 00:21:07,920 Speaker 1: neither the vaccinated group nor the placebo vaccinated group had 358 00:21:07,920 --> 00:21:10,879 Speaker 1: a hospitalization. You know, basically the study wound up preventing 359 00:21:10,920 --> 00:21:14,080 Speaker 1: about thirteen cases of sniffles, and so I thinly pointed out, 360 00:21:14,200 --> 00:21:17,080 Speaker 1: we just don't have any data, you know, to say 361 00:21:17,160 --> 00:21:21,800 Speaker 1: whether or not in an average risk pediatric population the 362 00:21:21,920 --> 00:21:25,239 Speaker 1: vaccines actually prevent hospitalization. And to the credit you know, 363 00:21:25,280 --> 00:21:29,600 Speaker 1: of the investigators, they oversampled in this small study. They 364 00:21:29,600 --> 00:21:33,600 Speaker 1: over enrolled kids with co morbidity. About twenty percent of 365 00:21:33,640 --> 00:21:36,879 Speaker 1: the entire trial cohort had kids with co morbidity, and 366 00:21:36,920 --> 00:21:40,960 Speaker 1: even then they didn't have a single hospitalization. And more 367 00:21:40,960 --> 00:21:43,280 Speaker 1: overtad the kids that had a subgroup of kids that 368 00:21:43,400 --> 00:21:47,920 Speaker 1: had a previous infection. Those kids, regardless again whether they 369 00:21:47,920 --> 00:21:50,520 Speaker 1: got the vaccine or the placebo vaccine, they didn't even 370 00:21:50,560 --> 00:21:52,720 Speaker 1: have the sniffles. So you know, there was there was 371 00:21:52,760 --> 00:21:54,600 Speaker 1: lot of teas out. And then there were the adult 372 00:21:54,640 --> 00:22:00,480 Speaker 1: trial data, which had been analyzed by a very purstit group. 373 00:22:00,960 --> 00:22:03,199 Speaker 1: The first author was framing, but it included one of 374 00:22:03,200 --> 00:22:07,640 Speaker 1: the pre eminent epidemiologists and biostatisticians of our era, Sander Greenland, 375 00:22:08,000 --> 00:22:11,240 Speaker 1: and they had analyzed trial data from the mr Anda vaccines. 376 00:22:11,280 --> 00:22:14,760 Speaker 1: They pulled the data from Maderna and from Fiser, and 377 00:22:14,800 --> 00:22:17,239 Speaker 1: they came up with, frankly, you know, again these are 378 00:22:17,280 --> 00:22:20,600 Speaker 1: average risk populations that are in these vaccine trials. They 379 00:22:20,680 --> 00:22:24,040 Speaker 1: came up with the assessment that there was a negative 380 00:22:24,119 --> 00:22:27,280 Speaker 1: risk benefit, in other words, because the trials didn't go 381 00:22:27,320 --> 00:22:31,080 Speaker 1: into nursing homes and target the truly high risk populations. 382 00:22:31,560 --> 00:22:34,360 Speaker 1: The impact, the negative impact of the vaccines in terms 383 00:22:34,400 --> 00:22:38,879 Speaker 1: of hospitalizations for serious adverse events versus alleged prevention of 384 00:22:39,400 --> 00:22:44,919 Speaker 1: COVID hospitalizations just wasn't there. And and again these are 385 00:22:44,960 --> 00:22:48,560 Speaker 1: not these are not lightweights that published this study. And 386 00:22:48,800 --> 00:22:51,560 Speaker 1: it was a preprint, but then it's now an accept 387 00:22:51,600 --> 00:22:55,280 Speaker 1: a peer reviewed publication. So for simply you know, summarizing 388 00:22:55,280 --> 00:22:58,879 Speaker 1: that information again rather glibly, you know. But on Twitter, 389 00:23:00,000 --> 00:23:04,720 Speaker 1: that was my final suspension there. It's set for five months, 390 00:23:05,320 --> 00:23:10,960 Speaker 1: even with another letter, until David's Wide did his investigative reporting, 391 00:23:11,200 --> 00:23:13,360 Speaker 1: literally pulled a you know, it sounds like the STAZI, 392 00:23:13,400 --> 00:23:17,760 Speaker 1: but pulled my Twitter file and and what and behold, 393 00:23:17,800 --> 00:23:21,440 Speaker 1: it turned out that they had adjudicated these so called defenses, 394 00:23:21,480 --> 00:23:23,680 Speaker 1: plus a few others which a couple I didn't even 395 00:23:23,680 --> 00:23:26,080 Speaker 1: know about uh and and and four out of the 396 00:23:26,160 --> 00:23:29,080 Speaker 1: five were found by Twitter, by the by the great 397 00:23:29,119 --> 00:23:32,920 Speaker 1: savants of Twitter, to not have violated any of any 398 00:23:32,920 --> 00:23:36,520 Speaker 1: of this policy about COVID misinformation. So it begged the 399 00:23:36,600 --> 00:23:38,600 Speaker 1: question as to well, why did you suspend me in 400 00:23:38,600 --> 00:23:42,520 Speaker 1: the first place, let alone sustain that suspension for five months. 401 00:23:43,160 --> 00:23:46,000 Speaker 1: It was just the whole thing was bizarre. Actually, and 402 00:23:46,480 --> 00:23:49,399 Speaker 1: see Andy, and I think in a normal sense, um 403 00:23:49,440 --> 00:23:52,040 Speaker 1: it would be bizarre, except that we've seen this pattern 404 00:23:52,480 --> 00:23:56,920 Speaker 1: playouts with with with the wrong sex hormones with kids. 405 00:23:56,920 --> 00:24:01,119 Speaker 1: We've seen it playouts now with even questioning, even questioning 406 00:24:01,160 --> 00:24:04,879 Speaker 1: the elections, even saying hey, why is it that Democrats 407 00:24:04,920 --> 00:24:07,600 Speaker 1: always catch up at the end. And also because we 408 00:24:07,720 --> 00:24:10,760 Speaker 1: deal with credentialism, we can go back through you know, 409 00:24:10,880 --> 00:24:13,479 Speaker 1: your bio and or good your website and look at 410 00:24:13,520 --> 00:24:17,800 Speaker 1: your bio. You are as credentials as anyone. You're not fauci. 411 00:24:18,240 --> 00:24:21,800 Speaker 1: But this is the game of credentialism. And these guys 412 00:24:21,840 --> 00:24:24,919 Speaker 1: are so in service and it's so very clear and 413 00:24:25,080 --> 00:24:27,959 Speaker 1: these I look at the Twitter files, they are so 414 00:24:28,119 --> 00:24:32,479 Speaker 1: in service to the intelligence services and the government that 415 00:24:32,520 --> 00:24:36,160 Speaker 1: there is no there's no daylight between them. I'm glad 416 00:24:36,200 --> 00:24:38,800 Speaker 1: that you've vindicated. I've always known you were right, and 417 00:24:38,880 --> 00:24:41,119 Speaker 1: I've had you on the show multiple times and at 418 00:24:41,119 --> 00:24:42,760 Speaker 1: the podcast you can hear this in fact, some of 419 00:24:42,800 --> 00:24:45,480 Speaker 1: Andy's work at the toddhermshow dot com. And we've got 420 00:24:45,480 --> 00:24:47,679 Speaker 1: about thirty seconds. How do people reach you if they 421 00:24:47,680 --> 00:24:49,480 Speaker 1: want to be supportive and learn more of your work? 422 00:24:50,480 --> 00:24:53,240 Speaker 1: I have my own personal blog which I've had for 423 00:24:53,320 --> 00:24:55,880 Speaker 1: many years now. I write about medical topics and non 424 00:24:55,880 --> 00:24:59,960 Speaker 1: medical topics as well. It's just Andrew Blostom dot org. 425 00:25:00,520 --> 00:25:04,639 Speaker 1: I now have a very active Twitter account again, so 426 00:25:04,800 --> 00:25:10,119 Speaker 1: I'm at at Andrew Boston and i just want to 427 00:25:10,119 --> 00:25:12,320 Speaker 1: say to one of the things that I've learned from this, 428 00:25:12,480 --> 00:25:17,080 Speaker 1: from this experience is that we can't shut down these debates. 429 00:25:17,160 --> 00:25:19,560 Speaker 1: I mean, there are fundamental questions now and I just 430 00:25:19,720 --> 00:25:22,000 Speaker 1: say this as a clinical trial is that was my career. 431 00:25:22,640 --> 00:25:25,280 Speaker 1: We have to we have to have a public discussion 432 00:25:25,320 --> 00:25:29,400 Speaker 1: of how vaccine clinical trials are conducted. They are not 433 00:25:29,520 --> 00:25:33,040 Speaker 1: looking at clinical outcomes within the trial, and so we're 434 00:25:33,160 --> 00:25:36,679 Speaker 1: left with all these lingering questions about did we actually 435 00:25:36,760 --> 00:25:38,880 Speaker 1: do any harm or did we actually do any good? 436 00:25:38,920 --> 00:25:42,280 Speaker 1: And people can complain about drug trials, its common drugs 437 00:25:42,640 --> 00:25:47,159 Speaker 1: at least they require them to have a clinical outcome exactly, 438 00:25:47,240 --> 00:25:50,000 Speaker 1: and we need to go back through and comb a history. 439 00:25:50,600 --> 00:25:53,200 Speaker 1: And I've talked to experts on this about are any 440 00:25:53,200 --> 00:25:56,040 Speaker 1: of these things done properly? Any of these trials. Doctor 441 00:25:56,040 --> 00:26:00,879 Speaker 1: Andrew Bostom vindicated back on Twitter, Lookouts world, You're going 442 00:26:00,920 --> 00:26:02,679 Speaker 1: to get a good dose of the truth. Appreciate you, 443 00:26:02,760 --> 00:26:05,480 Speaker 1: Doctor Boston. Many good to have you. We'll come back 444 00:26:05,480 --> 00:26:08,160 Speaker 1: and answer a question, get to the phones about Trump 445 00:26:08,200 --> 00:26:11,440 Speaker 1: as he making mistake, not coming off these injections. And 446 00:26:11,480 --> 00:26:15,720 Speaker 1: then this what does it mean to practice virtuous racism? 447 00:26:15,760 --> 00:26:17,399 Speaker 1: That's what I said, What does it mean to practice 448 00:26:17,440 --> 00:26:20,000 Speaker 1: virtuous racism? Has taught Herman and for Clay Travis and 449 00:26:20,040 --> 00:26:28,320 Speaker 1: buck Sexton. Ka's taught Herman in for Clay Travison, buck Sexton. 450 00:26:28,440 --> 00:26:31,919 Speaker 1: And just imagine if you miss the last segment that 451 00:26:32,040 --> 00:26:36,040 Speaker 1: your entire professional career has now been It's been besmirched 452 00:26:36,040 --> 00:26:38,359 Speaker 1: by a social media company who knows that they're lying. 453 00:26:39,640 --> 00:26:41,640 Speaker 1: There's got to be recourse for this because they're also 454 00:26:41,720 --> 00:26:43,520 Speaker 1: lying on behalf of the government. And that had to 455 00:26:43,560 --> 00:26:46,680 Speaker 1: do with Twitter and Andrew Boston being shut down, and 456 00:26:47,640 --> 00:26:51,200 Speaker 1: it's happened to countless people, but those of us weren't 457 00:26:51,200 --> 00:26:53,280 Speaker 1: willing to pay an attorney to go deal with Twitter 458 00:26:53,560 --> 00:26:56,280 Speaker 1: may not get access to that. And we've been asking 459 00:26:56,280 --> 00:26:59,320 Speaker 1: a question about should President Trump. Is he making a 460 00:26:59,359 --> 00:27:03,000 Speaker 1: mistake by continuing to tout these mr Anda injections, And 461 00:27:03,080 --> 00:27:06,760 Speaker 1: there's a political calculus. Ron de Santis has asked and 462 00:27:06,800 --> 00:27:09,680 Speaker 1: has gotten the Supreme Court afforda to convene a grand 463 00:27:09,760 --> 00:27:12,879 Speaker 1: jury to look into the lies of Maderna and Pharma, 464 00:27:12,960 --> 00:27:15,119 Speaker 1: and there are many and in my judgment, there deadly 465 00:27:15,640 --> 00:27:19,119 Speaker 1: while President Trump continues to tout the injections, there's a 466 00:27:19,160 --> 00:27:21,960 Speaker 1: political calculus, and then for me, there's a moral calculus, 467 00:27:22,600 --> 00:27:25,160 Speaker 1: and that is that these injections continue to do great, 468 00:27:25,200 --> 00:27:28,160 Speaker 1: great harm. And so I'm just curious on where people 469 00:27:28,240 --> 00:27:31,879 Speaker 1: stand on this. Alan probably Alice in Michigan. You're in 470 00:27:32,000 --> 00:27:34,159 Speaker 1: the Clay Travis buck Sexon program as Todd Herman and 471 00:27:34,160 --> 00:27:40,240 Speaker 1: Filling and glad you called Alice high him. I think 472 00:27:40,600 --> 00:27:45,240 Speaker 1: I think it's a huge mistake for him to be 473 00:27:45,520 --> 00:27:49,240 Speaker 1: pro vaccine, even though he's the one who started it. 474 00:27:50,720 --> 00:27:52,719 Speaker 1: And what do you think he should say? What do 475 00:27:52,720 --> 00:27:54,399 Speaker 1: you think he should he come out and say, Hey, 476 00:27:54,400 --> 00:27:56,320 Speaker 1: I got rolled, I got conned. They made a mistake, 477 00:27:56,359 --> 00:27:59,080 Speaker 1: they lied to me. How would he come out and 478 00:27:59,119 --> 00:28:04,280 Speaker 1: fix that? In your mind that they lied to him? 479 00:28:06,520 --> 00:28:14,680 Speaker 1: And building that case, I think he can do most 480 00:28:14,760 --> 00:28:20,240 Speaker 1: anything he wants to. And I voted for him twice 481 00:28:20,280 --> 00:28:22,320 Speaker 1: and I'd vote for him again. But I want him 482 00:28:22,320 --> 00:28:27,320 Speaker 1: to get off that path because I didn't get the 483 00:28:27,400 --> 00:28:32,720 Speaker 1: vaccine and I won't get it. And you know, I 484 00:28:32,760 --> 00:28:35,399 Speaker 1: think there's a lot of people like me that voted 485 00:28:35,440 --> 00:28:40,360 Speaker 1: for him and they wish he would somehow get away 486 00:28:40,360 --> 00:28:43,200 Speaker 1: from that well, and I agree with you on that. 487 00:28:43,400 --> 00:28:46,000 Speaker 1: I look, I'd vote for him again in half a heartbeat, 488 00:28:46,160 --> 00:28:48,520 Speaker 1: no doubt, because of so much that he did from 489 00:28:48,560 --> 00:28:52,360 Speaker 1: a substantive policy perspective, but also what he forced the 490 00:28:52,440 --> 00:28:55,600 Speaker 1: deep state to show themselves to be. But I beg 491 00:28:55,960 --> 00:28:59,400 Speaker 1: this show has such reach. I beg people to get 492 00:28:59,400 --> 00:29:01,800 Speaker 1: this to Team Trump, and it's such an easy case 493 00:29:01,840 --> 00:29:06,640 Speaker 1: to make. Debbie Doctor Burkes has admitted she lied to 494 00:29:06,680 --> 00:29:10,960 Speaker 1: the president. She has admitted she knew these injections didn't work. 495 00:29:11,000 --> 00:29:14,120 Speaker 1: It's my recollection that she admitted lying to the president. 496 00:29:14,360 --> 00:29:17,360 Speaker 1: She absolutely said I knew that these wouldn't stop infection 497 00:29:17,480 --> 00:29:20,840 Speaker 1: or transmission. There are books that go through in detail 498 00:29:21,320 --> 00:29:25,400 Speaker 1: the absolute lies. Doctor Paul Alexander wrote a book about 499 00:29:25,760 --> 00:29:29,480 Speaker 1: taking down the President using COVID that they lied to 500 00:29:29,520 --> 00:29:32,520 Speaker 1: the President at that time, around and through all all 501 00:29:32,560 --> 00:29:35,760 Speaker 1: sorts of different channels. It's not a hard case to make, 502 00:29:36,400 --> 00:29:40,240 Speaker 1: and it's completely understandable that you would play upon a 503 00:29:40,320 --> 00:29:44,480 Speaker 1: man's desire to not see so many Americans die from 504 00:29:44,480 --> 00:29:47,120 Speaker 1: this right. So I appreciate the phone call Alice, thank 505 00:29:47,160 --> 00:29:49,040 Speaker 1: you very much. I think you speak for a lot 506 00:29:49,040 --> 00:29:51,520 Speaker 1: of folks who are also going to remain loyal to Trump. 507 00:29:51,760 --> 00:29:55,800 Speaker 1: And the party doesn't understand, and the mocking bird media 508 00:29:55,800 --> 00:29:59,640 Speaker 1: doesn't understand. You can't affect. There is nothing you can 509 00:29:59,680 --> 00:30:03,640 Speaker 1: do to affect people's estimation of President Trump because you 510 00:30:03,680 --> 00:30:07,200 Speaker 1: are so deeply, deeply distrusted. You have blown out that possibility. 511 00:30:07,240 --> 00:30:12,040 Speaker 1: You have no sway and you can And furthermore, if 512 00:30:12,040 --> 00:30:13,920 Speaker 1: they take this step of him dieting him, I think 513 00:30:13,920 --> 00:30:16,120 Speaker 1: they're going to do it. You're only going to make 514 00:30:16,200 --> 00:30:21,560 Speaker 1: him bigger. You cannot affect him in people's estimations. And 515 00:30:21,640 --> 00:30:23,800 Speaker 1: I will say this on the topic of the injections 516 00:30:24,720 --> 00:30:29,760 Speaker 1: that the Democrats and the power structure, I fear will hang, 517 00:30:29,840 --> 00:30:34,920 Speaker 1: they will suddenly discover myocarditis and paracarditas and these fibrous 518 00:30:35,000 --> 00:30:37,560 Speaker 1: clots and people. They're suddenly going to discover all the 519 00:30:37,600 --> 00:30:41,240 Speaker 1: people who've died suddenly. And even the FDA, even FDA 520 00:30:41,360 --> 00:30:44,960 Speaker 1: members have started to dribble out and suggest that it's 521 00:30:45,000 --> 00:30:49,840 Speaker 1: all Trump's fault. The CEO of FISER has said he 522 00:30:49,920 --> 00:30:53,080 Speaker 1: was very surprised they chose the mRNA injection, which is nonsense. 523 00:30:53,840 --> 00:30:59,040 Speaker 1: It's nonsense because they'd wanted that technology forever, and he 524 00:30:59,160 --> 00:31:01,240 Speaker 1: put it at the foot steps of the powers that 525 00:31:01,320 --> 00:31:04,600 Speaker 1: be and he said he was concerned they're trying to 526 00:31:04,640 --> 00:31:07,280 Speaker 1: paint their way out of the corner that they sit 527 00:31:07,360 --> 00:31:10,040 Speaker 1: in now, which is it was their idea. So I 528 00:31:10,240 --> 00:31:14,239 Speaker 1: just beg, beg people and Team Trump to sit and 529 00:31:14,240 --> 00:31:17,240 Speaker 1: have a discussion with this about President Trump with President 530 00:31:17,280 --> 00:31:20,880 Speaker 1: Trump brother next hour, I want to dig into something 531 00:31:21,000 --> 00:31:23,080 Speaker 1: that we've been examining on the podcast, which you can 532 00:31:23,080 --> 00:31:25,880 Speaker 1: get at the Todd Herman Show dot com, and that 533 00:31:26,040 --> 00:31:30,760 Speaker 1: is virtuous racism. Now, it sounds oxymoronic, but then again, 534 00:31:30,800 --> 00:31:34,040 Speaker 1: we live in a country that is filled with oxymoronic ideas. 535 00:31:34,680 --> 00:31:38,320 Speaker 1: What does it mean to practice virtuous racism? And is 536 00:31:38,360 --> 00:31:41,280 Speaker 1: it just a joke phrase. It's not. And you will 537 00:31:41,360 --> 00:31:45,480 Speaker 1: see this now being taught within schools that it is taking, 538 00:31:45,720 --> 00:31:50,520 Speaker 1: for instance, something at Stamford. You had Stamford that has 539 00:31:50,920 --> 00:31:56,600 Speaker 1: issued this apology going back for decades and it's from 540 00:31:56,600 --> 00:32:00,400 Speaker 1: the nineteen fifties where they discriminated it against Jewish people. 541 00:32:01,280 --> 00:32:06,600 Speaker 1: So they're issuing this apology today, but has anything substantively changed. 542 00:32:07,080 --> 00:32:12,200 Speaker 1: In point of fact, they are probably still discriminating against 543 00:32:12,320 --> 00:32:16,000 Speaker 1: Jewish people because many Jewish people, if not most Jewish people, 544 00:32:16,200 --> 00:32:21,680 Speaker 1: would identify as or count as white, right, So they're 545 00:32:21,680 --> 00:32:25,760 Speaker 1: continuing the same policies, but it has been subsequently trend 546 00:32:25,840 --> 00:32:30,280 Speaker 1: into something that is virtuous. And what this runs on, 547 00:32:30,480 --> 00:32:33,960 Speaker 1: and the danger that it runs on is profound beyond politics. 548 00:32:34,600 --> 00:32:39,120 Speaker 1: If you are teaching kids to hate their neighbor, who 549 00:32:39,120 --> 00:32:42,880 Speaker 1: are you actually picking a fight with? If that is 550 00:32:42,880 --> 00:32:46,880 Speaker 1: your goal to teach children to hate thy neighbor, who 551 00:32:46,920 --> 00:32:50,440 Speaker 1: have you picked the ultimate fight with? Well, if your 552 00:32:50,440 --> 00:32:55,840 Speaker 1: Biblical conservants, you would conversational, you would go, you would 553 00:32:55,880 --> 00:32:58,400 Speaker 1: go to the Bible and say love thy neighbor as 554 00:32:58,440 --> 00:33:02,760 Speaker 1: thyself takes on. This stuff about virtuous racism is so big, 555 00:33:03,120 --> 00:33:05,600 Speaker 1: it is so ignored. But we also see the effects 556 00:33:05,640 --> 00:33:08,640 Speaker 1: of it. We'll go back through that. Plus on the 557 00:33:08,720 --> 00:33:14,000 Speaker 1: jan sixth topic, Are they really going to come and 558 00:33:14,240 --> 00:33:18,680 Speaker 1: indict a guy who's very very likely to be the 559 00:33:18,760 --> 00:33:22,160 Speaker 1: nominee of the Republicans? How would they do that? You 560 00:33:22,160 --> 00:33:23,480 Speaker 1: know how they're gonna do it. They're gonna do it 561 00:33:23,520 --> 00:33:26,760 Speaker 1: through virtuous racism. They're going to connect those two dots, 562 00:33:26,760 --> 00:33:29,480 Speaker 1: and they're going to do it by saying if he 563 00:33:29,640 --> 00:33:32,120 Speaker 1: was black, he would face this. If he was a BIPOC, 564 00:33:32,200 --> 00:33:34,360 Speaker 1: he would face this. You watch them as they stitched 565 00:33:34,440 --> 00:33:37,920 Speaker 1: this together, and also watch who becomes the hench person 566 00:33:37,960 --> 00:33:40,560 Speaker 1: on this. You know who I think plays forefront on this. 567 00:33:40,640 --> 00:33:43,080 Speaker 1: I think it's going to be a Cammy Harris who 568 00:33:43,160 --> 00:33:45,520 Speaker 1: takes now an attack dog role on this, not that 569 00:33:45,560 --> 00:33:47,000 Speaker 1: she can speak well, but that they care