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 --> 00:00:07,920 Speaker 1: Sexton Show podcast. We're gonna tell you about the Foucci 3 00:00:08,600 --> 00:00:13,720 Speaker 1: low lights that he just gave his last public pronouncements today. 4 00:00:14,160 --> 00:00:16,880 Speaker 1: They're absolutely terrible, but just a bit of quick housekeeping. 5 00:00:18,160 --> 00:00:22,080 Speaker 1: Charles Marie Gustave Lebon was born in eighteen forty one, 6 00:00:22,120 --> 00:00:24,640 Speaker 1: so it was mid nineteenth century he was born, and 7 00:00:24,640 --> 00:00:27,360 Speaker 1: he actually he lived on nineteen thirty one. He wrote 8 00:00:27,400 --> 00:00:32,440 Speaker 1: The Crowd. He wrote a Psychology of Revolution, a lot 9 00:00:32,440 --> 00:00:34,559 Speaker 1: of really inner but The Crowd, a study of the 10 00:00:34,560 --> 00:00:36,920 Speaker 1: popular mind, is the one that he is most famous for, 11 00:00:37,360 --> 00:00:40,920 Speaker 1: where he talks about chants and slogans and the mob 12 00:00:40,960 --> 00:00:45,400 Speaker 1: mentality and basically the Democrat Party before it really was 13 00:00:46,120 --> 00:00:49,919 Speaker 1: the Democrat Party of today. So that's well worth it 14 00:00:50,000 --> 00:00:53,600 Speaker 1: for anybody who's looking for some light pre Thanksgiving reading. 15 00:00:53,640 --> 00:00:57,960 Speaker 1: Clay just throwing that out there. And we've got Foucci 16 00:00:58,040 --> 00:01:01,840 Speaker 1: telling everybody all of the place that they need to 17 00:01:02,280 --> 00:01:04,920 Speaker 1: mask up. And I know you shared this on Twitter 18 00:01:04,959 --> 00:01:07,840 Speaker 1: a few moments ago. Everybody, he's still telling you to 19 00:01:07,880 --> 00:01:11,800 Speaker 1: get a COVID test before Thanksgiving dinner. People that went 20 00:01:11,840 --> 00:01:14,440 Speaker 1: along with this guy and defended him and said that 21 00:01:14,480 --> 00:01:18,000 Speaker 1: he was a genius and a hero should be ashamed. 22 00:01:18,200 --> 00:01:22,920 Speaker 1: I mean they should feel deeply embarrassed, you know. But 23 00:01:23,040 --> 00:01:25,480 Speaker 1: Clay people have different Oh, it's in. We've got some 24 00:01:25,520 --> 00:01:28,840 Speaker 1: of it. Oh boy, let's play which one do we have? 25 00:01:28,959 --> 00:01:30,800 Speaker 1: I want to do? We have the first one here, 26 00:01:31,120 --> 00:01:33,440 Speaker 1: Let's do the one where he says that you should 27 00:01:33,440 --> 00:01:37,280 Speaker 1: get a COVID test before Thanksgiving. We're not talking about 28 00:01:37,280 --> 00:01:39,520 Speaker 1: this in twenty twenty twenty. I mean, this is crazy. 29 00:01:39,560 --> 00:01:42,480 Speaker 1: This has just happened in the White House, Fauci telling 30 00:01:42,480 --> 00:01:44,600 Speaker 1: you you may want to get a COVID test before 31 00:01:44,600 --> 00:01:48,080 Speaker 1: Thanksgiving dinner. First of all, everybody should be vaccinated and 32 00:01:48,160 --> 00:01:52,040 Speaker 1: boosted with flu and with COVID, whether or not you 33 00:01:52,080 --> 00:01:57,120 Speaker 1: wear a mask or Another thing we shouldn't underestimate is testing. 34 00:01:57,480 --> 00:02:01,800 Speaker 1: So when we're gathering at a family gathering for Thanksgiving, 35 00:02:01,920 --> 00:02:04,520 Speaker 1: or for Christmas, or for any other holiday. As we 36 00:02:04,560 --> 00:02:07,240 Speaker 1: get into the winter, it makes sense that you might 37 00:02:07,320 --> 00:02:10,240 Speaker 1: want to get a test that day before you come 38 00:02:10,320 --> 00:02:13,240 Speaker 1: into a place in which you might be infected and 39 00:02:13,280 --> 00:02:16,440 Speaker 1: spreaded or other people who might be there, in order 40 00:02:16,480 --> 00:02:19,760 Speaker 1: to protect. So this masking is important. But you can 41 00:02:19,800 --> 00:02:24,880 Speaker 1: count masking vaccine boosting testing. All of that is part 42 00:02:24,919 --> 00:02:28,160 Speaker 1: of the spectrum of protecting yourself. None of that stuff 43 00:02:28,200 --> 00:02:30,440 Speaker 1: does anything that's going to stop anybody from getting COVID. 44 00:02:30,480 --> 00:02:32,320 Speaker 1: By the way, we all know this. We've been through 45 00:02:32,360 --> 00:02:35,960 Speaker 1: this now, Clay, he is a vile sociopath. I mean, 46 00:02:36,000 --> 00:02:39,360 Speaker 1: this is I also think it undermines people's faith in 47 00:02:39,600 --> 00:02:43,800 Speaker 1: government in general, in our federal bureaucracy, specifically that this 48 00:02:43,800 --> 00:02:47,240 Speaker 1: could be the highest paid federal employee, be a celebrated 49 00:02:47,280 --> 00:02:51,000 Speaker 1: person by the media and he's awful. I mean, this 50 00:02:51,080 --> 00:02:54,000 Speaker 1: is something he's never apologized or said he was wrong once. 51 00:02:54,280 --> 00:02:57,680 Speaker 1: He is wrong about everything and should apologize for everything, 52 00:02:58,000 --> 00:03:00,359 Speaker 1: but instead he's riding off into the sunset like big 53 00:03:00,440 --> 00:03:04,160 Speaker 1: checks for his memoirs. Yeah, and the question that I 54 00:03:04,160 --> 00:03:08,120 Speaker 1: would have, first of all, what percentage of people do 55 00:03:08,200 --> 00:03:13,280 Speaker 1: you think are testing or wearing masks to their thanksgivinggether? 56 00:03:13,320 --> 00:03:15,000 Speaker 1: But even what would be the point? So is he 57 00:03:15,080 --> 00:03:17,640 Speaker 1: telling people? You know, if you're a Rachel Maddow watching 58 00:03:18,080 --> 00:03:23,560 Speaker 1: five five Ukraine flags and pronouns in the biolib are 59 00:03:23,600 --> 00:03:26,519 Speaker 1: you gonna be like, well, you know, unless unless somebody 60 00:03:26,520 --> 00:03:28,120 Speaker 1: gets the test this year, they can't come to my 61 00:03:28,120 --> 00:03:30,840 Speaker 1: Thanksgiving dinner. You know they can't eat the big toe 62 00:03:30,880 --> 00:03:33,440 Speaker 1: furky that I've made for everybody, Like what is this? 63 00:03:33,960 --> 00:03:36,640 Speaker 1: And also the question I would have. I mean, look, 64 00:03:36,760 --> 00:03:38,840 Speaker 1: I think everything that he said in that clip we 65 00:03:38,920 --> 00:03:42,400 Speaker 1: just played is utterly ridiculous. But when would he say 66 00:03:42,440 --> 00:03:46,280 Speaker 1: that ends? So for the flu is not going away. Never, 67 00:03:46,360 --> 00:03:48,400 Speaker 1: COVID is not going away, So does he? I mean, 68 00:03:48,400 --> 00:03:50,600 Speaker 1: that's the question. So for the rest of our lives, 69 00:03:50,640 --> 00:03:54,720 Speaker 1: doctor Fauci, you are saying that you believe people should 70 00:03:54,760 --> 00:03:58,080 Speaker 1: wear masks and test for COVID before they go to 71 00:03:58,160 --> 00:04:01,040 Speaker 1: Thanksgiving dinner or to hang out with people for Christmas. 72 00:04:01,200 --> 00:04:03,119 Speaker 1: I mean, I just I wish that you know they've 73 00:04:03,160 --> 00:04:06,560 Speaker 1: they've kept him away. Honestly, the only people that I've seen, 74 00:04:06,680 --> 00:04:09,240 Speaker 1: the exception of Rand Paul, who get access to Fauci 75 00:04:09,720 --> 00:04:12,040 Speaker 1: are completely worthless and don't ask him any real questions. 76 00:04:12,080 --> 00:04:14,240 Speaker 1: I'm just gonna say it. I mean, if somebody, if 77 00:04:14,280 --> 00:04:17,279 Speaker 1: Faucci has been willing to sit down with you, certainly 78 00:04:17,279 --> 00:04:19,320 Speaker 1: in the last year, maybe in the last eighteen months, 79 00:04:19,600 --> 00:04:22,240 Speaker 1: it's because you're weak on what's actually happened here. I 80 00:04:22,279 --> 00:04:26,640 Speaker 1: have never seen him subjected to an interview. Rand Paul's different, obviously, 81 00:04:26,640 --> 00:04:29,280 Speaker 1: that's the Senate, But I mean the media sense. He 82 00:04:29,360 --> 00:04:36,720 Speaker 1: has evaded every serious interview with real accountability, and that's 83 00:04:36,880 --> 00:04:39,320 Speaker 1: it's obvious why he's done it, because Clay, think about this, 84 00:04:39,560 --> 00:04:43,040 Speaker 1: So when should you wear a mask? Exactly? Because it's 85 00:04:43,080 --> 00:04:46,880 Speaker 1: gonna be flu and COVID season basically from now until 86 00:04:46,920 --> 00:04:50,160 Speaker 1: the middle of March, So you're gonna wear a cloth. Oh, 87 00:04:50,200 --> 00:04:52,520 Speaker 1: by the way, cloth masks don't work, which every data 88 00:04:52,600 --> 00:04:56,120 Speaker 1: set that you can find shows and ninety five masks 89 00:04:56,120 --> 00:04:59,240 Speaker 1: don't really work either. Folks, you know that wasn't true either. 90 00:04:59,560 --> 00:05:02,800 Speaker 1: Double asking certainly doesn't work. So what are we even 91 00:05:02,839 --> 00:05:07,080 Speaker 1: talking about here? Moreover, Buck, if you're going to Thanksgiving, 92 00:05:07,120 --> 00:05:10,760 Speaker 1: you're going to eat so presumably in his mask up 93 00:05:10,760 --> 00:05:12,800 Speaker 1: between bites to your point. Absolutely, I mean, like what, 94 00:05:13,000 --> 00:05:15,599 Speaker 1: I don't even understand that argument. And he's telling people 95 00:05:15,800 --> 00:05:18,480 Speaker 1: we've got a mask. Quote this is not from twenty 96 00:05:18,480 --> 00:05:21,520 Speaker 1: to twenty or twenty twenty one. Fauci just now in 97 00:05:21,600 --> 00:05:24,880 Speaker 1: the White House said, if you go into a room, 98 00:05:24,880 --> 00:05:26,839 Speaker 1: we're gonna play this for you and you're the only 99 00:05:26,880 --> 00:05:30,159 Speaker 1: person with a mask, you should be feel good about yourself. 100 00:05:30,200 --> 00:05:33,039 Speaker 1: You look great. Listen to this you say about the 101 00:05:33,080 --> 00:05:36,080 Speaker 1: word mask now being a pejorative and some commando it 102 00:05:36,160 --> 00:05:38,680 Speaker 1: shouldn't be. I mean, you're absolutely right. I mean, I 103 00:05:38,800 --> 00:05:40,760 Speaker 1: know sometimes when you walk in and you have a 104 00:05:40,800 --> 00:05:43,000 Speaker 1: mask and nobody has a mask, you kind of feel guilty. 105 00:05:43,240 --> 00:05:46,720 Speaker 1: You shouldn't feel guilty. You look terrific. I mean, I 106 00:05:46,760 --> 00:05:48,800 Speaker 1: mean we're at a point now if someone is if 107 00:05:48,800 --> 00:05:51,800 Speaker 1: someone is going into places where unless you know, honestly, 108 00:05:51,839 --> 00:05:54,080 Speaker 1: even if they have a health issue, does mask don't work. 109 00:05:54,400 --> 00:05:56,520 Speaker 1: So if someone's wearing a mask at this point, they 110 00:05:56,560 --> 00:05:59,599 Speaker 1: either have a level of anxiety that they're not able 111 00:05:59,640 --> 00:06:02,360 Speaker 1: to control, or they're just ignorant of the actual data 112 00:06:02,400 --> 00:06:04,840 Speaker 1: sets with masking. Those are the only options at this point. 113 00:06:04,880 --> 00:06:07,720 Speaker 1: There is no third option. And I'm seeing people, like 114 00:06:07,839 --> 00:06:10,400 Speaker 1: I watched football over the weekend, Buck, there are people 115 00:06:10,440 --> 00:06:14,000 Speaker 1: going to football games outdoors and wearing masks. I mean, 116 00:06:14,080 --> 00:06:17,400 Speaker 1: I just I'm going to Michigan, Ohio State this weekend. 117 00:06:17,960 --> 00:06:20,360 Speaker 1: There are going to be some people sitting in a 118 00:06:20,520 --> 00:06:24,600 Speaker 1: hundred thousand seat Buckeye Stadium wearing masks. I've given up. 119 00:06:24,640 --> 00:06:27,920 Speaker 1: On airlines, there's what like fifteen twenty percent of people 120 00:06:27,960 --> 00:06:31,120 Speaker 1: are still wearing masks on airlines. It is scientifically as 121 00:06:31,240 --> 00:06:35,080 Speaker 1: valid as a toddler keeping their blankie because it'll scare 122 00:06:35,120 --> 00:06:38,720 Speaker 1: the monsters away. It's absurd and and that's how adults 123 00:06:38,720 --> 00:06:40,719 Speaker 1: should actually view it. Now, it's not at all. We've 124 00:06:40,760 --> 00:06:43,839 Speaker 1: gotta no no, because remember anyone who's out there still 125 00:06:43,880 --> 00:06:47,680 Speaker 1: masking with overwhelming that I won't say everybody, but generally speaking, 126 00:06:47,720 --> 00:06:50,920 Speaker 1: people are out there still masking. If they could, they 127 00:06:51,080 --> 00:06:53,279 Speaker 1: make you mask too. We saw that. So this isn't 128 00:06:53,279 --> 00:06:54,960 Speaker 1: a live and let lifting. This is take the stupid 129 00:06:55,000 --> 00:06:57,280 Speaker 1: mask off your face. It's ridiculous. That's where I'll try 130 00:06:57,320 --> 00:06:59,360 Speaker 1: to bring it back. I mean the stories up at 131 00:06:59,480 --> 00:07:02,920 Speaker 1: HHS today that they would try to bring back masks. 132 00:07:03,040 --> 00:07:05,200 Speaker 1: I'm telling you a lot of you listening to us 133 00:07:05,279 --> 00:07:07,960 Speaker 1: right now, LA's talking about doing it. You may and 134 00:07:08,040 --> 00:07:11,360 Speaker 1: your poor kids. You may well before this winner is out, 135 00:07:11,400 --> 00:07:14,120 Speaker 1: if COVID players back up, they're going to be trying 136 00:07:14,120 --> 00:07:15,840 Speaker 1: to get you to put masks back. I'm gonna be 137 00:07:15,880 --> 00:07:17,960 Speaker 1: on our flight back to back to New York tomorrow. 138 00:07:18,000 --> 00:07:19,520 Speaker 1: I've been down in Florida. I'm gonna be taking a 139 00:07:19,520 --> 00:07:22,000 Speaker 1: flight back New York tomorrow. You know, I think I'm 140 00:07:22,000 --> 00:07:24,920 Speaker 1: just gonna take a you know, a distance, one of 141 00:07:24,920 --> 00:07:28,160 Speaker 1: those sort of distant selfies, like a Bradley Cooper at 142 00:07:28,160 --> 00:07:30,320 Speaker 1: the Oscars, except they'll be, you know, near the front 143 00:07:30,360 --> 00:07:31,920 Speaker 1: of the plane. I mean, I don't fly first class 144 00:07:31,960 --> 00:07:33,760 Speaker 1: because I'm not fancy, but you know, I like to 145 00:07:33,800 --> 00:07:36,840 Speaker 1: try to be near the emergency exit. And that's always 146 00:07:36,840 --> 00:07:39,000 Speaker 1: funny to people. People Sometimes seeing me, they're like, aren't 147 00:07:39,040 --> 00:07:41,120 Speaker 1: you Buck from the Clay and Buck Show. I'm like yeah, 148 00:07:41,160 --> 00:07:45,160 Speaker 1: and they look at me like, interesting, You're you're next 149 00:07:45,160 --> 00:07:47,560 Speaker 1: to the bathroom in like row twenty seventy eight. I'm like, 150 00:07:47,560 --> 00:07:50,480 Speaker 1: that's right, that's right. I fly southwest, Buck. There is 151 00:07:50,480 --> 00:07:53,440 Speaker 1: no first class, you know. I know you flew southway. 152 00:07:53,440 --> 00:07:56,040 Speaker 1: You flew southwest of Patriot Wars. That's how Clay rolls too, 153 00:07:56,120 --> 00:07:57,800 Speaker 1: because come on, we're just trying to get where. We're 154 00:07:57,800 --> 00:08:00,640 Speaker 1: getting the easiest way to get somewhere. Now. Sometimes I 155 00:08:00,680 --> 00:08:02,800 Speaker 1: will hop on a little charter to get in and 156 00:08:02,840 --> 00:08:04,840 Speaker 1: out of a college town when it's hard to get into. 157 00:08:04,920 --> 00:08:07,120 Speaker 1: But I had to call that play force one or 158 00:08:07,200 --> 00:08:08,680 Speaker 1: is that not? Do they put a little decal on 159 00:08:08,760 --> 00:08:10,840 Speaker 1: the side for you? I have not. I you know, 160 00:08:11,040 --> 00:08:14,000 Speaker 1: I rush had a big plane, right, I'm hoping that 161 00:08:14,040 --> 00:08:17,000 Speaker 1: one day I'll have a plane too, that's my goal. Yeah. 162 00:08:17,040 --> 00:08:19,960 Speaker 1: He a a superplane. Um yeah, anyway, I just say 163 00:08:20,000 --> 00:08:21,600 Speaker 1: it about the plane. I want to take a photo 164 00:08:21,680 --> 00:08:24,600 Speaker 1: because I'm going back to New York tomorrow from Florida. 165 00:08:24,680 --> 00:08:26,640 Speaker 1: So this is a particular route. I know this route 166 00:08:26,720 --> 00:08:28,800 Speaker 1: very well, going back to be you know, in New 167 00:08:28,880 --> 00:08:32,080 Speaker 1: York City and spending Thanksgiving with the fan, and I 168 00:08:32,120 --> 00:08:36,960 Speaker 1: think there will be I think it'll be fifteen to 169 00:08:36,960 --> 00:08:39,960 Speaker 1: twenty percent mask up tomorrow. That's my guests on the plane. 170 00:08:40,000 --> 00:08:42,240 Speaker 1: That's what I think, which is sad for those. I mean, 171 00:08:42,280 --> 00:08:46,040 Speaker 1: I flew Nashville to Fort Lauderdale and I was stunned 172 00:08:46,040 --> 00:08:48,520 Speaker 1: at how many people I saw still wearing masks on 173 00:08:48,559 --> 00:08:50,600 Speaker 1: the airplanes. Now, it wasn't a huge number because I'm 174 00:08:50,600 --> 00:08:52,720 Speaker 1: going from a free state to a free state, but 175 00:08:52,800 --> 00:08:55,600 Speaker 1: it wasn't zero. I mean, there were still a lot 176 00:08:55,640 --> 00:08:58,400 Speaker 1: of people wearing masks on airplanes and at the airport. 177 00:08:58,559 --> 00:09:00,240 Speaker 1: I mean, I would put this out there. I mean, 178 00:09:00,280 --> 00:09:02,160 Speaker 1: the only you know, if you're a senior citizen with 179 00:09:02,240 --> 00:09:05,559 Speaker 1: health risks, the same way that senior citizens are advised 180 00:09:05,600 --> 00:09:07,920 Speaker 1: to maybe get a flu shot because okay, maybe there's 181 00:09:07,920 --> 00:09:10,760 Speaker 1: some downside but you know, even a little bit of help, 182 00:09:10,800 --> 00:09:13,040 Speaker 1: even if reduces your risk maybe five or ten percent. 183 00:09:13,240 --> 00:09:16,000 Speaker 1: So I'll cut senior citizens out of the conversation about 184 00:09:16,080 --> 00:09:18,200 Speaker 1: masking a little bit here, even though I don't think 185 00:09:18,240 --> 00:09:20,520 Speaker 1: it really helps them. But I get it, Like you know, 186 00:09:20,520 --> 00:09:22,600 Speaker 1: you're at that age you want to avoid getting sick, 187 00:09:22,640 --> 00:09:24,480 Speaker 1: and maybe you think it helps you a little bit. 188 00:09:24,880 --> 00:09:27,160 Speaker 1: Anybody under fifty with a mask on, I just like 189 00:09:27,200 --> 00:09:29,560 Speaker 1: I said, I just think they have other anxiety disorder 190 00:09:29,720 --> 00:09:31,840 Speaker 1: or aren't familiar with the data. I don't know what 191 00:09:31,880 --> 00:09:33,920 Speaker 1: else to say at this point, because it's just an 192 00:09:33,920 --> 00:09:37,240 Speaker 1: impossible case to make. Their brains are broken, and Fauci 193 00:09:37,320 --> 00:09:41,720 Speaker 1: has made it worse. And and Ali, our producer, saying, 194 00:09:41,760 --> 00:09:44,280 Speaker 1: you know, up in New York City subway still packed 195 00:09:44,320 --> 00:09:46,400 Speaker 1: with tons of people wearing masks. And I remember my 196 00:09:46,440 --> 00:09:49,480 Speaker 1: wife saying this. I thought she was crazy. She said, 197 00:09:50,120 --> 00:09:54,240 Speaker 1: master never going away. And I feel like that's the truth. Now. 198 00:09:54,280 --> 00:09:57,560 Speaker 1: I don't think masks are ever going to leave in 199 00:09:57,600 --> 00:10:00,439 Speaker 1: the United States again. Well, because the moment that people 200 00:10:00,480 --> 00:10:02,719 Speaker 1: stop wearing them there was the moment a lot of 201 00:10:02,760 --> 00:10:06,280 Speaker 1: people realize they never should have warned them. Yep, And 202 00:10:06,320 --> 00:10:11,400 Speaker 1: it's it's about the ego involved of accepting that you 203 00:10:11,640 --> 00:10:15,360 Speaker 1: were wrong, Like you know, I'm I'm still upset that 204 00:10:15,440 --> 00:10:20,079 Speaker 1: I said I didn't say stochastic properly yesterday. You can 205 00:10:20,120 --> 00:10:22,520 Speaker 1: imagine if I've been wearing an un ninety five mask 206 00:10:23,080 --> 00:10:26,720 Speaker 1: and super uncomfortable for two years for no reason. Clay, 207 00:10:26,760 --> 00:10:29,400 Speaker 1: you know, yeah, that's a tough one. I think that's 208 00:10:29,400 --> 00:10:31,600 Speaker 1: why they're never going away. Sadly, but we should have 209 00:10:31,679 --> 00:10:34,599 Speaker 1: adults telling people, hey, it's safe, you don't need to 210 00:10:34,640 --> 00:10:36,640 Speaker 1: do this. Instead we got fouch you doing the opposite, 211 00:10:36,679 --> 00:10:39,520 Speaker 1: saying you look fantastic wearing your mask. It's a good 212 00:10:39,559 --> 00:10:42,760 Speaker 1: week to get started, given the fact that it's Christmas 213 00:10:43,000 --> 00:10:47,240 Speaker 1: almost Black Friday, holiday gift season, maybe go ahead and 214 00:10:47,240 --> 00:10:49,640 Speaker 1: start buying some gifts. 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Give a gift that will 227 00:11:27,440 --> 00:11:29,880 Speaker 1: make a real difference in the paths they take in 228 00:11:29,960 --> 00:11:33,680 Speaker 1: life and leave a positive impression for decades to come. 229 00:11:34,080 --> 00:11:38,160 Speaker 1: Go to Tuttle radio dot com to access this special deal. 230 00:11:38,559 --> 00:11:43,240 Speaker 1: That's Tuttle radio dot com seventy five percent off both 231 00:11:43,320 --> 00:11:47,199 Speaker 1: of these bundles. Start your holiday shopping a great gift 232 00:11:47,280 --> 00:11:51,800 Speaker 1: for the holidays. Tuttle radio dot com clay In Buck 233 00:11:52,040 --> 00:12:04,560 Speaker 1: twenty four seven and subscribe today. We have Florida Surgeon 234 00:12:04,679 --> 00:12:07,839 Speaker 1: General doctor Joseph Latipo with us now. He's got a 235 00:12:07,880 --> 00:12:14,040 Speaker 1: book out, Transcend Fear, a blueprint for Blueprint for Mindful 236 00:12:14,160 --> 00:12:17,280 Speaker 1: Leadership in Public Health, which's been out for a couple 237 00:12:17,320 --> 00:12:20,400 Speaker 1: of months, Doctor Latipo. Honor to have you on, sir. 238 00:12:20,480 --> 00:12:23,520 Speaker 1: Thanks for making time for us. Hey, thanks for having 239 00:12:23,520 --> 00:12:25,720 Speaker 1: me on. I'm happy to be with you guys right 240 00:12:25,760 --> 00:12:29,440 Speaker 1: before Thanksgiving. Yes, sir, and one thing we are not 241 00:12:29,520 --> 00:12:33,239 Speaker 1: thankful for is doctor Anthony Fauci's leadership during the pandemic. 242 00:12:33,720 --> 00:12:38,160 Speaker 1: You may have seen him giving his farewell speech of 243 00:12:38,200 --> 00:12:41,440 Speaker 1: sorts today from the White House. What is I mean? 244 00:12:41,480 --> 00:12:44,439 Speaker 1: You're a Harvard trained MD, You're the surgeon general of 245 00:12:44,480 --> 00:12:47,280 Speaker 1: the state of Florida. You've looked at the data for 246 00:12:47,360 --> 00:12:51,959 Speaker 1: your state of over twenty million people extensively. When doctor 247 00:12:52,000 --> 00:12:55,280 Speaker 1: Fauci says that you should be proud to mask up 248 00:12:55,320 --> 00:12:58,120 Speaker 1: when you walk into places, that people should consider masking, 249 00:12:58,200 --> 00:13:00,800 Speaker 1: that they should all get the vaccine. The vaccine will 250 00:13:00,880 --> 00:13:04,200 Speaker 1: keep anyone from dying. And there's a whole lot more 251 00:13:04,240 --> 00:13:07,160 Speaker 1: we could say. What do you say as a medical professional? 252 00:13:08,640 --> 00:13:14,120 Speaker 1: I say that I am stunned by doctor Fauci's inability 253 00:13:14,240 --> 00:13:17,480 Speaker 1: to adapt to data. You know, in his comments he 254 00:13:17,520 --> 00:13:21,280 Speaker 1: said something about how it's too bad that people aren't 255 00:13:21,320 --> 00:13:24,600 Speaker 1: getting these COVID nineteen vaccines, or for the people who aren't, 256 00:13:24,679 --> 00:13:28,400 Speaker 1: most people have, but for the people who aren't he 257 00:13:28,600 --> 00:13:31,080 Speaker 1: hates to see them get infected. Well, then he really 258 00:13:31,080 --> 00:13:34,320 Speaker 1: ought not want them to get because, as every as 259 00:13:34,440 --> 00:13:39,440 Speaker 1: very plainly clear, their protection from infection wanes rapidly, and 260 00:13:39,760 --> 00:13:44,559 Speaker 1: that he's still not acknowledging that and still playing mask 261 00:13:45,000 --> 00:13:50,040 Speaker 1: you know, charade mask. I don't know. Whatever this silly 262 00:13:50,640 --> 00:13:54,480 Speaker 1: masquerade is with masks is just it's a it's a 263 00:13:54,480 --> 00:13:58,920 Speaker 1: testament of why he cannot leave fast enough. Doctor Latipo, 264 00:13:59,000 --> 00:14:02,199 Speaker 1: appreciate you joining us. This is clay. Doctor Fauci also 265 00:14:02,280 --> 00:14:06,160 Speaker 1: said that he thinks people should test for COVID before 266 00:14:06,240 --> 00:14:09,160 Speaker 1: they get together with their friends and family for Thanksgiving. 267 00:14:09,640 --> 00:14:12,280 Speaker 1: It is two days until Thanksgiving. I can guarantee you 268 00:14:12,320 --> 00:14:15,680 Speaker 1: that the Travis family will not be testing before we 269 00:14:15,760 --> 00:14:19,960 Speaker 1: have Thanksgiving dinner. You've got I think two kids, maybe three. 270 00:14:20,600 --> 00:14:24,400 Speaker 1: Will the Lattipo family, you are obviously in a steam physician, 271 00:14:24,680 --> 00:14:27,200 Speaker 1: will you be doing COVID tests before you sit down 272 00:14:27,200 --> 00:14:30,080 Speaker 1: for Thanksgiving dinner? The only thing is going to be 273 00:14:30,120 --> 00:14:34,080 Speaker 1: tested this week is going to be my patience because 274 00:14:34,200 --> 00:14:37,960 Speaker 1: our three boys are going to be running all around 275 00:14:38,040 --> 00:14:41,120 Speaker 1: with you know, pomps full of yummy pumpkin pie from 276 00:14:41,120 --> 00:14:43,840 Speaker 1: my wife and all that good stuff. You know, it's 277 00:14:43,880 --> 00:14:46,920 Speaker 1: really sad. It's just a he has a right to 278 00:14:47,040 --> 00:14:50,440 Speaker 1: believe that, of course, but it's just a testament to 279 00:14:50,600 --> 00:14:54,280 Speaker 1: how sad his vision of life is. I mean, you 280 00:14:54,320 --> 00:14:58,120 Speaker 1: can't just enjoy the beautiful time with people you love 281 00:14:58,160 --> 00:15:01,120 Speaker 1: and care about you have to think of about testing 282 00:15:01,200 --> 00:15:05,000 Speaker 1: and what maybe even masking or who knows whatever whatever 283 00:15:05,040 --> 00:15:09,240 Speaker 1: else he's suggesting before Thanksgiving. It's sad, and yeah, I 284 00:15:09,360 --> 00:15:11,600 Speaker 1: feel in some ways I feel bad for him that 285 00:15:11,600 --> 00:15:15,840 Speaker 1: that's how he sees Thanksgiving. I mean it's sad. Speaking 286 00:15:15,840 --> 00:15:18,480 Speaker 1: of Florida, certain general doctor Latipo and his book is 287 00:15:18,520 --> 00:15:21,840 Speaker 1: Transcend Fear, a Blueprint for Mindful Leadership in Public Health. 288 00:15:21,880 --> 00:15:26,760 Speaker 1: Actor Latipo have a lot of doctors come forward. I mean, 289 00:15:26,760 --> 00:15:28,400 Speaker 1: I would assume it's easier for them in Florida than 290 00:15:28,400 --> 00:15:30,200 Speaker 1: there is in other places. I'm in Florida right now, 291 00:15:30,880 --> 00:15:34,240 Speaker 1: and said that they're going to stand against some of 292 00:15:34,240 --> 00:15:37,640 Speaker 1: the madness, that they're not going to pretend like the 293 00:15:38,360 --> 00:15:41,280 Speaker 1: establishment experts got everything right, and that we should all 294 00:15:41,320 --> 00:15:44,240 Speaker 1: still go into every hospital with a little cloth mask 295 00:15:44,320 --> 00:15:46,040 Speaker 1: on all the time and all this stuff. I mean, 296 00:15:46,160 --> 00:15:48,560 Speaker 1: have you seen a change in the mentality of a 297 00:15:48,560 --> 00:15:51,360 Speaker 1: lot of your fellow physicians over let's say the last 298 00:15:51,440 --> 00:15:55,200 Speaker 1: year or so, as we've really seen everything that we 299 00:15:55,200 --> 00:15:59,400 Speaker 1: were told by the Fauci apparatus and the Biden administration 300 00:15:59,600 --> 00:16:03,720 Speaker 1: just not actually happen. I mean, everything fell apart. I'm 301 00:16:03,760 --> 00:16:05,360 Speaker 1: going to give you what I think might be a 302 00:16:05,400 --> 00:16:09,680 Speaker 1: surprising answer, and that answers no. And what the reason 303 00:16:09,720 --> 00:16:12,800 Speaker 1: it's know is because it's not new. Most of the 304 00:16:12,840 --> 00:16:15,840 Speaker 1: doctors over the past year who have opposed these policies, 305 00:16:15,840 --> 00:16:19,840 Speaker 1: they haven't changed. They've known that we've done many trials 306 00:16:19,320 --> 00:16:23,440 Speaker 1: of masks and they just have generally not been effective. 307 00:16:23,560 --> 00:16:27,880 Speaker 1: They've known that the vaccines aren't doing a good job 308 00:16:27,920 --> 00:16:32,720 Speaker 1: at preventing infection, but they are afraid to speak because 309 00:16:32,760 --> 00:16:37,080 Speaker 1: of the repercussions. And that's that's really the issue, that's 310 00:16:37,120 --> 00:16:40,800 Speaker 1: what's behind it, and there are consequences, and it's it's 311 00:16:40,840 --> 00:16:44,120 Speaker 1: a very real thing. You've got boards of medicine trying 312 00:16:44,200 --> 00:16:47,560 Speaker 1: to strip doctors of their license, not because of anything 313 00:16:47,600 --> 00:16:50,840 Speaker 1: they did with their clinical care, but because they said 314 00:16:50,920 --> 00:16:54,400 Speaker 1: the quote unquote wrong thing on Facebook or Twitter. And 315 00:16:54,440 --> 00:16:58,840 Speaker 1: that's the reality. That's the reality that physicians are living with. 316 00:16:58,920 --> 00:17:01,600 Speaker 1: I'm sure you're familiar with the California law that was 317 00:17:01,640 --> 00:17:06,520 Speaker 1: passed restricting essentially threatening to punish doctors for saying the 318 00:17:06,520 --> 00:17:10,280 Speaker 1: wrong things about one specific issue, which is COVID nineteen. 319 00:17:10,640 --> 00:17:16,760 Speaker 1: So unfortunately, no, people's opinions haven't changed. But even more unfortunately, 320 00:17:17,160 --> 00:17:20,800 Speaker 1: a lot of doctors who are totally opposed to what 321 00:17:20,920 --> 00:17:27,159 Speaker 1: doctor Fauchisman saying are still afraid to speak up. Doctor Latipo, 322 00:17:27,480 --> 00:17:30,960 Speaker 1: I'm sure you have seen speaking on that fear. California 323 00:17:31,040 --> 00:17:33,840 Speaker 1: has tried to pass a law and you moved from 324 00:17:33,920 --> 00:17:37,040 Speaker 1: California to the free state of Florida, if I remember correctly, 325 00:17:37,600 --> 00:17:40,320 Speaker 1: California is trying to pass a law that could create 326 00:17:40,440 --> 00:17:45,720 Speaker 1: consequences for medical professionals who speak out against whatever the 327 00:17:46,400 --> 00:17:50,520 Speaker 1: preferred sciences at the moment. I'm just curious in general. 328 00:17:50,560 --> 00:17:53,680 Speaker 1: You probably remember when Fauci said, I am the science. 329 00:17:54,280 --> 00:17:58,960 Speaker 1: Isn't science about questioning everything? How quickly have we forgotten 330 00:17:59,000 --> 00:18:02,200 Speaker 1: that that's the primary goal of scientists is to rigorously 331 00:18:02,280 --> 00:18:06,520 Speaker 1: question everything less you believe things that are untrue. And 332 00:18:06,680 --> 00:18:09,199 Speaker 1: how scary is it that we're trying to pass laws 333 00:18:09,240 --> 00:18:13,240 Speaker 1: now to essentially keep medical professionals from ever questioning the 334 00:18:13,280 --> 00:18:18,639 Speaker 1: consensus opinion. Well, it's terrible, It's terrible, and that is 335 00:18:18,680 --> 00:18:21,680 Speaker 1: exactly I mean that is at the core of science, 336 00:18:22,080 --> 00:18:27,720 Speaker 1: is asking questions and debating and bringing evidence and seeing 337 00:18:27,720 --> 00:18:31,919 Speaker 1: how things shake out. Being curious that those are core 338 00:18:32,320 --> 00:18:37,240 Speaker 1: tenets of science and of their things that motivated people 339 00:18:37,280 --> 00:18:40,600 Speaker 1: like me and many other people to pursue science, and 340 00:18:40,680 --> 00:18:44,200 Speaker 1: unfortunately what's happening in California is they're trying to rewrite 341 00:18:44,440 --> 00:18:50,680 Speaker 1: reality to match their dystopian fantasy. And that's essentially what's happening, 342 00:18:50,800 --> 00:18:55,360 Speaker 1: and hopefully people will just realize that it's total nonsense 343 00:18:55,400 --> 00:18:58,680 Speaker 1: that they're doing there. It's being a doctor Joseph Latipost, 344 00:18:58,680 --> 00:19:03,120 Speaker 1: Surgeon General of the Data Florida, and doctor Latipo if 345 00:19:03,119 --> 00:19:07,000 Speaker 1: somebody was willing to, let's say, somebody out there thinks, 346 00:19:07,040 --> 00:19:09,800 Speaker 1: you know, wearing two masks, because because Fauci says two 347 00:19:09,880 --> 00:19:11,879 Speaker 1: masks are great, it's going to keep them safe. But 348 00:19:11,920 --> 00:19:14,000 Speaker 1: they're at least willing to look at what data you 349 00:19:14,040 --> 00:19:17,480 Speaker 1: have access to say, when it came to mask mandates 350 00:19:17,720 --> 00:19:21,600 Speaker 1: in schools, we're two years into this, What could you 351 00:19:21,680 --> 00:19:24,240 Speaker 1: point them to? What could you tell them about the 352 00:19:24,400 --> 00:19:28,960 Speaker 1: real numbers that you saw in Florida during now two 353 00:19:29,040 --> 00:19:32,680 Speaker 1: full years of data collection when it came to schools 354 00:19:32,680 --> 00:19:37,199 Speaker 1: that required masks versus schools that did not. The Florida 355 00:19:37,280 --> 00:19:41,679 Speaker 1: data has definitely been supportive of the fact that in 356 00:19:41,880 --> 00:19:46,719 Speaker 1: schools these masks are doing basically nothing. And there are 357 00:19:46,760 --> 00:19:49,640 Speaker 1: other studies as a doctor in California, doctor Tracy Hog, 358 00:19:49,720 --> 00:19:53,040 Speaker 1: that's done a ton of research on masks. She's debunked 359 00:19:53,080 --> 00:19:56,240 Speaker 1: one of the CDC studies where the CDC reported that 360 00:19:56,720 --> 00:19:59,240 Speaker 1: the masks were effective when they compared a couple of 361 00:19:59,440 --> 00:20:03,840 Speaker 1: school stricks. But then you'll she looked and found it basically. Actually, 362 00:20:03,880 --> 00:20:06,800 Speaker 1: if you look further, they were only it only looked 363 00:20:06,800 --> 00:20:08,879 Speaker 1: that way because of the specific period of time to 364 00:20:09,000 --> 00:20:12,080 Speaker 1: the CDC. Look, why did they look during that time? Only? 365 00:20:12,160 --> 00:20:13,840 Speaker 1: Who knows? It's not that they were trying to put 366 00:20:13,840 --> 00:20:17,439 Speaker 1: their finger on the scale, is it. So it's really nonsense. 367 00:20:17,720 --> 00:20:20,399 Speaker 1: The air goes around guys, if you're in a room, 368 00:20:20,560 --> 00:20:22,760 Speaker 1: whether you wear the mask or not, the air is 369 00:20:22,840 --> 00:20:27,119 Speaker 1: coming out. And there's even a randomized clinical trial that 370 00:20:27,160 --> 00:20:30,280 Speaker 1: shows harms, believe it or not, harms associated with cloth 371 00:20:30,320 --> 00:20:34,120 Speaker 1: mask and healthcare workers. So it's it's it's just a 372 00:20:34,160 --> 00:20:40,400 Speaker 1: total barrel of nonsense, just complete nonsense, this mask obsession. 373 00:20:40,440 --> 00:20:43,800 Speaker 1: And they cannot die soon enough. But unfortunately, many of 374 00:20:43,800 --> 00:20:47,800 Speaker 1: my colleagues are trying to revive it this winter. Yeah, 375 00:20:47,800 --> 00:20:49,399 Speaker 1: and so that's the question that Buck and I have 376 00:20:49,480 --> 00:20:52,159 Speaker 1: been asking, how does this end? And that's the question 377 00:20:52,280 --> 00:20:54,159 Speaker 1: we would ask Fauci, if he would ever come on 378 00:20:54,280 --> 00:20:59,240 Speaker 1: with us. You're saying, hey, this holiday season, I believe 379 00:20:59,240 --> 00:21:02,680 Speaker 1: this is now the third Thanksgiving we've had basically since 380 00:21:02,720 --> 00:21:06,600 Speaker 1: COVID started. If I'm doing the math correctly, Fauci saying, 381 00:21:06,600 --> 00:21:08,440 Speaker 1: you still need to take a COVID test, you should 382 00:21:08,480 --> 00:21:11,280 Speaker 1: still be wearing masks. If you're doing this in year 383 00:21:11,400 --> 00:21:14,280 Speaker 1: three of COVID, how does it ever end? Will it 384 00:21:14,359 --> 00:21:17,320 Speaker 1: ever end? And are you concerned? I think you are 385 00:21:17,359 --> 00:21:19,119 Speaker 1: just based on the way that you answer that question, 386 00:21:19,200 --> 00:21:22,320 Speaker 1: doctor Latipo, that we can't just live and let live, 387 00:21:22,359 --> 00:21:26,159 Speaker 1: because the people who are still wearing masks, if they could, 388 00:21:26,560 --> 00:21:29,560 Speaker 1: would demand that all of us wear masks, including two 389 00:21:29,600 --> 00:21:31,760 Speaker 1: and three year olds, the minute that they have the 390 00:21:31,760 --> 00:21:36,400 Speaker 1: power to do so. Well, you're you are dead on there, 391 00:21:36,440 --> 00:21:41,720 Speaker 1: There's no question about that. And I think people, first 392 00:21:41,720 --> 00:21:44,400 Speaker 1: of all, I think people just need to really be 393 00:21:45,080 --> 00:21:52,040 Speaker 1: acquainted comfortable with the scientific data from clinical trials. These 394 00:21:51,840 --> 00:21:56,080 Speaker 1: these advocates always point to these observational studies of the 395 00:21:56,119 --> 00:22:00,280 Speaker 1: CDC quotes, but clinical trials are really the gold standard, 396 00:22:00,480 --> 00:22:05,320 Speaker 1: and these masks have done terrible almost in all of 397 00:22:05,320 --> 00:22:09,160 Speaker 1: these clinical trials. So people need to feel comfortable first 398 00:22:09,200 --> 00:22:12,879 Speaker 1: of all, that they really on a scientific basis, they're 399 00:22:12,920 --> 00:22:16,439 Speaker 1: doing little to nothing. And then the second part is 400 00:22:16,480 --> 00:22:19,920 Speaker 1: just deciding that you're not going to participate in these charades. 401 00:22:20,440 --> 00:22:23,159 Speaker 1: And that's what needs to happen. And I think if 402 00:22:23,320 --> 00:22:26,359 Speaker 1: enough of us do that, they'll they'll stop trying to 403 00:22:26,440 --> 00:22:29,600 Speaker 1: work their weasel their way back in with their mask 404 00:22:29,720 --> 00:22:35,280 Speaker 1: recommendations which later become strong recommendations, which later become mandates 405 00:22:35,359 --> 00:22:39,080 Speaker 1: and all the nonsense that we've seen over the past 406 00:22:39,080 --> 00:22:44,320 Speaker 1: two years. Florida certain General doctor Latipo his book Transcend Fear, 407 00:22:44,359 --> 00:22:49,080 Speaker 1: A Blueprint for Mindful Leadership in Public Health. Doctor Latipo, 408 00:22:49,119 --> 00:22:51,520 Speaker 1: thanks for being with us. Hey, thanks so much, guys. 409 00:22:51,560 --> 00:22:55,040 Speaker 1: Happy Thanksgiving guys, you too, no doubt, happy Thanksgiving to 410 00:22:55,200 --> 00:22:57,840 Speaker 1: you as well. And thank goodness that if you live 411 00:22:57,840 --> 00:22:59,720 Speaker 1: in Florida you're still going to have some freedom. But 412 00:23:00,000 --> 00:23:03,439 Speaker 1: about how crazy this is, there is no end to 413 00:23:03,880 --> 00:23:07,280 Speaker 1: this COVID insanity, which is why Buck and I continue 414 00:23:07,359 --> 00:23:10,600 Speaker 1: to hammer it here, because they're coming for you. They're 415 00:23:10,640 --> 00:23:12,440 Speaker 1: coming for you with masks, they're coming for you with 416 00:23:12,480 --> 00:23:14,760 Speaker 1: the vaccine mandates. As soon as these things come up 417 00:23:14,800 --> 00:23:17,960 Speaker 1: again in terms of cases, they are going to chase 418 00:23:18,000 --> 00:23:20,480 Speaker 1: you and they are going to demand that you submit. 419 00:23:20,600 --> 00:23:23,639 Speaker 1: We know this and it's starting to happen already. 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If you find yourself 444 00:24:48,359 --> 00:24:51,320 Speaker 1: traveling across the country around the world, hope you're safe 445 00:24:52,040 --> 00:24:54,320 Speaker 1: and we appreciate you listening. We are thankful for all 446 00:24:54,359 --> 00:24:57,480 Speaker 1: of you. We're joined now by former Vice President Mike Pence, 447 00:24:57,520 --> 00:25:02,280 Speaker 1: who's got a new book out that is being well received. 448 00:25:02,320 --> 00:25:05,000 Speaker 1: And as we start with you, mister Vice President, I 449 00:25:05,000 --> 00:25:08,440 Speaker 1: appreciate you giving us the time we've been talking. Faucci, 450 00:25:08,560 --> 00:25:11,679 Speaker 1: just thanks for having me on. Yeah, no doubt. The 451 00:25:11,680 --> 00:25:14,879 Speaker 1: book is so help me God. Released earlier this month. 452 00:25:15,600 --> 00:25:19,520 Speaker 1: Fauci just had his final press conference as he is 453 00:25:19,560 --> 00:25:21,920 Speaker 1: in the process of retiring. I'm sure you knew that 454 00:25:21,920 --> 00:25:24,440 Speaker 1: that was going on. We were just talking about it. 455 00:25:25,800 --> 00:25:30,920 Speaker 1: Everything in twenty in hindsight is often twenty twenty in retrospect. 456 00:25:31,680 --> 00:25:34,920 Speaker 1: What could you and the Trump White House have done 457 00:25:35,040 --> 00:25:39,720 Speaker 1: better to not allow doctor Fauci to what I think 458 00:25:39,840 --> 00:25:43,280 Speaker 1: is quite frankly, drive us right off the cliff of insanity. 459 00:25:43,359 --> 00:25:46,239 Speaker 1: In terms of how we should respond to COVID, he 460 00:25:46,320 --> 00:25:48,840 Speaker 1: said that people should still feel very proud if they're 461 00:25:48,880 --> 00:25:51,639 Speaker 1: wearing masks. He said that as you get ready together 462 00:25:51,720 --> 00:25:54,880 Speaker 1: with Thanksgiving family, that continuing to get COVID tests could 463 00:25:54,880 --> 00:25:57,000 Speaker 1: make sense. Those are just some of the things he said, 464 00:25:57,080 --> 00:25:59,159 Speaker 1: not years ago, but just a few minutes ago at 465 00:25:59,160 --> 00:26:01,679 Speaker 1: the White House. Would you any regrets? Do you have 466 00:26:01,680 --> 00:26:05,000 Speaker 1: anything that you would change about doctor Fauci in particular 467 00:26:05,200 --> 00:26:09,440 Speaker 1: and COVID? Well, first, just let me say what a 468 00:26:09,760 --> 00:26:12,440 Speaker 1: what a privilege it is to be on with with 469 00:26:12,520 --> 00:26:14,840 Speaker 1: both of you, A great fan of the show, Thank 470 00:26:14,840 --> 00:26:17,919 Speaker 1: you and uh and and was honored to have the 471 00:26:17,960 --> 00:26:21,320 Speaker 1: opportunity to write my autobiography, So help Me God. That 472 00:26:21,680 --> 00:26:23,800 Speaker 1: came out about a week ago. It's the story of 473 00:26:23,840 --> 00:26:27,520 Speaker 1: growing up here in Indiana. It's a story of of 474 00:26:27,520 --> 00:26:30,200 Speaker 1: of you know, being raised by a combat veteran and 475 00:26:30,280 --> 00:26:33,840 Speaker 1: a first generation Irish American, starting out as a Democrat, 476 00:26:33,920 --> 00:26:39,240 Speaker 1: joining the Republican Revolution, and then m through through decisions 477 00:26:39,240 --> 00:26:41,439 Speaker 1: that I made, beginning with the decision to put my 478 00:26:41,520 --> 00:26:44,320 Speaker 1: faith in Jesus Christ, the decision to marry Kare and Pence. 479 00:26:44,880 --> 00:26:48,240 Speaker 1: We were able to serve and advance the Conservative agenda 480 00:26:48,280 --> 00:26:51,480 Speaker 1: and the Congress and the governorship here in Indiana, and 481 00:26:51,520 --> 00:26:53,960 Speaker 1: then as Vice President. I'm incredibly proud of the record 482 00:26:54,000 --> 00:26:57,199 Speaker 1: of our administration, and I'm proud of what the American 483 00:26:57,200 --> 00:26:59,840 Speaker 1: people accomplished during COVID. Guys. There's a couple of chapters 484 00:26:59,840 --> 00:27:03,960 Speaker 1: in my book, in one of which is entitled Only 485 00:27:04,000 --> 00:27:08,520 Speaker 1: in America, where I really pay tribute to the extraordinary 486 00:27:08,600 --> 00:27:12,440 Speaker 1: compassion of our healthcare workers, the extraordinary generosity and innovation 487 00:27:13,000 --> 00:27:16,440 Speaker 1: of American businesses. I mean, from the time I was 488 00:27:16,680 --> 00:27:20,040 Speaker 1: I was tapped to leave the White House Coronavirus Task Force, Guys, 489 00:27:20,080 --> 00:27:24,200 Speaker 1: I was really inspired by what the American people were doing. 490 00:27:24,720 --> 00:27:28,719 Speaker 1: But in those early days, you know, when I became 491 00:27:29,080 --> 00:27:32,400 Speaker 1: the leader of the White House Coronavirus Task Force, it 492 00:27:32,440 --> 00:27:34,840 Speaker 1: was a fairly small group. The President organized it a 493 00:27:34,880 --> 00:27:38,200 Speaker 1: week a month earlier, and it included doctor Tony Fauci 494 00:27:38,359 --> 00:27:41,640 Speaker 1: and some other medical experts that would grow. But one 495 00:27:41,640 --> 00:27:44,159 Speaker 1: of the first decisions that I made was to add 496 00:27:44,359 --> 00:27:47,560 Speaker 1: the Secretary of the Treasury, the Secretary of Agriculture, Larry 497 00:27:47,600 --> 00:27:51,639 Speaker 1: Cudlow on our economic team, because I knew that the 498 00:27:51,720 --> 00:27:54,560 Speaker 1: advice that we were going to give the president could 499 00:27:54,600 --> 00:27:59,320 Speaker 1: not just be, you know, the advice of the clinical doctors. 500 00:27:59,359 --> 00:28:02,119 Speaker 1: It had to be balanced and take in the whole 501 00:28:02,160 --> 00:28:06,000 Speaker 1: interest of the American people. And and as as I write, 502 00:28:06,040 --> 00:28:08,960 Speaker 1: and so help me god. Um, you know, in those 503 00:28:09,000 --> 00:28:11,960 Speaker 1: early days, I know that doctor Fauci, when when we 504 00:28:12,119 --> 00:28:15,600 Speaker 1: didn't know what was coming, when we didn't understand the disease, 505 00:28:15,680 --> 00:28:20,280 Speaker 1: and Americans were anxious, we were reinventing testing, we were 506 00:28:20,400 --> 00:28:24,800 Speaker 1: manufacturing billions of supplies and and you know, over one 507 00:28:24,840 --> 00:28:27,960 Speaker 1: hundred thousand ventilators in a hundred days. I think in 508 00:28:28,000 --> 00:28:31,560 Speaker 1: those early days, doctor Fauci was a comfort to millions 509 00:28:31,560 --> 00:28:35,679 Speaker 1: of Americans. And uh and and he always stayed in 510 00:28:35,760 --> 00:28:37,840 Speaker 1: his lane. That's how I put it in my book. 511 00:28:37,920 --> 00:28:42,280 Speaker 1: I mean, he was invariably the first person to say, look, 512 00:28:42,360 --> 00:28:45,480 Speaker 1: I'll give you the scientist's perspective, but I understand the 513 00:28:45,480 --> 00:28:47,880 Speaker 1: President's got to consider a lot more. And that was 514 00:28:48,400 --> 00:28:52,560 Speaker 1: one of the reasons why, you know, one month into 515 00:28:52,680 --> 00:28:57,320 Speaker 1: our efforts to essentially buy time and slow the spread. Um, 516 00:28:57,800 --> 00:29:00,960 Speaker 1: we worked to open up America again and Mike when 517 00:29:00,960 --> 00:29:04,440 Speaker 1: did you realize that that Fauci was actually a partisan 518 00:29:04,640 --> 00:29:06,840 Speaker 1: and the absolute worst than hoping to deep six the 519 00:29:06,880 --> 00:29:11,320 Speaker 1: presidency that you were a part of. Well, early on, 520 00:29:11,400 --> 00:29:13,600 Speaker 1: I must tell you I didn't perceive it that way. 521 00:29:13,640 --> 00:29:16,160 Speaker 1: In fact, I thought President Trump and Fauci as a 522 00:29:16,160 --> 00:29:20,000 Speaker 1: couple of old New Yorkers h you know, had had 523 00:29:20,040 --> 00:29:24,640 Speaker 1: a good working relationship. But things began to shift, you know, 524 00:29:24,760 --> 00:29:27,880 Speaker 1: toward the end. And I must tell you it grieves 525 00:29:28,000 --> 00:29:32,560 Speaker 1: my heart that the Biden administration lost more Americans in 526 00:29:32,640 --> 00:29:35,960 Speaker 1: their first year with COVID with all of the tools 527 00:29:36,040 --> 00:29:41,160 Speaker 1: that we left behind, including vaccines, more Americans than we 528 00:29:41,240 --> 00:29:44,160 Speaker 1: lost in our first year when we, for the most part, 529 00:29:44,160 --> 00:29:46,840 Speaker 1: had none of those tools. But I do think it 530 00:29:47,000 --> 00:29:51,479 Speaker 1: is part and parcel of the Biden administration essentially putting 531 00:29:51,520 --> 00:29:54,479 Speaker 1: doctor Fauci in charge of the national response. You know, 532 00:29:55,320 --> 00:29:58,360 Speaker 1: there's the old saying that you know, when when you're 533 00:29:58,360 --> 00:30:01,320 Speaker 1: holding a hammer, everything's a nail. And I wasn't I 534 00:30:01,440 --> 00:30:05,800 Speaker 1: wasn't surprised that the Biden administration abandoned our commitment to 535 00:30:06,520 --> 00:30:10,680 Speaker 1: you know, therapeutics, abandon our commitment to opening up states 536 00:30:10,680 --> 00:30:14,360 Speaker 1: around the country, and and largely turned all of its 537 00:30:14,360 --> 00:30:21,200 Speaker 1: focus on vaccines and ultimately and wrongly mandated vaccines for 538 00:30:21,280 --> 00:30:25,560 Speaker 1: Americans that was partially turned aside by the conservative majority 539 00:30:25,600 --> 00:30:29,280 Speaker 1: on the Supreme Court. So and as I said, I think, uh, 540 00:30:29,680 --> 00:30:32,400 Speaker 1: you know it was it saddens me that the Biden 541 00:30:32,440 --> 00:30:36,640 Speaker 1: administration in so many ways squandered the progress that we made. 542 00:30:36,640 --> 00:30:40,200 Speaker 1: And uh, and putting doctor Fauci in the lead of 543 00:30:40,240 --> 00:30:45,640 Speaker 1: the Biden administration's response, I think explains their focus on 544 00:30:45,640 --> 00:30:50,720 Speaker 1: on concentrating everything in Washington, concentrating everything on vaccines, ultimately 545 00:30:50,800 --> 00:30:55,160 Speaker 1: mandating vaccines, instead of taking the whole of America federalist 546 00:30:55,160 --> 00:30:57,680 Speaker 1: approach that we took in our administration. Where was being 547 00:30:57,680 --> 00:30:59,880 Speaker 1: the former vice president Mike Pennson's got a new book out, 548 00:31:00,040 --> 00:31:03,280 Speaker 1: So help me God, I was President Pennce tell us this. 549 00:31:03,440 --> 00:31:06,320 Speaker 1: You know, the midterm election, there were some bright spots, 550 00:31:06,640 --> 00:31:10,000 Speaker 1: there were the votes in the aggregate, but there wasn't 551 00:31:10,000 --> 00:31:12,920 Speaker 1: the red wave that we needed. And it seemed that 552 00:31:12,960 --> 00:31:16,920 Speaker 1: there were a number of points of failure. Might be 553 00:31:16,960 --> 00:31:18,800 Speaker 1: too strong a word for some people, but I think 554 00:31:18,840 --> 00:31:21,440 Speaker 1: for others it's not strong enough. Clearly there were some 555 00:31:21,480 --> 00:31:24,000 Speaker 1: problems and some places we came up short. How do 556 00:31:24,040 --> 00:31:28,800 Speaker 1: we fix that? Well, guys, look there, thanks for saying 557 00:31:28,840 --> 00:31:33,040 Speaker 1: you're the first. You're the first show not surprisingly that 558 00:31:33,200 --> 00:31:35,800 Speaker 1: said that there was a red wave some places. I mean, 559 00:31:36,120 --> 00:31:40,080 Speaker 1: you'll look you look at at the governors or re 560 00:31:40,160 --> 00:31:44,600 Speaker 1: elections in places like Texas, in Florida, in Georgia where 561 00:31:44,640 --> 00:31:48,280 Speaker 1: they had probably the most formidable Democrat candidate in the country, 562 00:31:48,840 --> 00:31:51,960 Speaker 1: and Stacy Abrons raised one hundred million dollars in Governor 563 00:31:52,040 --> 00:31:55,880 Speaker 1: Brian Kemp, you know, one decisively in the fall. And 564 00:31:56,000 --> 00:31:59,440 Speaker 1: my friend Leezelden came up short in New York, but 565 00:32:00,400 --> 00:32:04,880 Speaker 1: he actually brought with him four new Republicans elected to 566 00:32:04,920 --> 00:32:07,200 Speaker 1: Congress from his state of New York. That could be 567 00:32:07,800 --> 00:32:11,480 Speaker 1: our new margin of a Republican majority. So I really 568 00:32:11,480 --> 00:32:14,480 Speaker 1: do believe there were there were pockets, there were places, 569 00:32:14,560 --> 00:32:18,160 Speaker 1: and the common denominator to me, guys, is that, you know, 570 00:32:18,520 --> 00:32:22,200 Speaker 1: candidates that were focused on the future, that were focused 571 00:32:22,200 --> 00:32:26,800 Speaker 1: on the challenges facing the American people today, which are 572 00:32:28,120 --> 00:32:33,200 Speaker 1: border security and crime and record inflation and high gasoline prices. 573 00:32:33,840 --> 00:32:36,240 Speaker 1: Candidates that were focused on the future did quite well, 574 00:32:36,280 --> 00:32:40,080 Speaker 1: but candidly, those campaigns that were focused on the past, 575 00:32:40,160 --> 00:32:44,120 Speaker 1: including relitigating the past, did not fare as well. Then 576 00:32:44,160 --> 00:32:46,280 Speaker 1: we're talking to former Vice President Mike Penns. His book 577 00:32:46,320 --> 00:32:50,600 Speaker 1: out last week, So Help Me God. Donald Trump announced 578 00:32:50,800 --> 00:32:53,320 Speaker 1: on Tuesday of last week, same day your book came out, 579 00:32:53,360 --> 00:32:55,160 Speaker 1: in the evening, he announced that he was going to 580 00:32:55,200 --> 00:32:57,800 Speaker 1: be running for president in twenty twenty four. I know 581 00:32:57,880 --> 00:33:00,640 Speaker 1: that there were several people speaking out in Las Vegas 582 00:33:00,680 --> 00:33:04,160 Speaker 1: who might be interested in potentially running in twenty twenty 583 00:33:04,200 --> 00:33:08,160 Speaker 1: four as well. You are among those. When would you 584 00:33:08,360 --> 00:33:12,120 Speaker 1: think is the right time for you to officially decide 585 00:33:12,400 --> 00:33:15,280 Speaker 1: if you are or are not going to run in 586 00:33:15,280 --> 00:33:17,840 Speaker 1: twenty twenty four. What kind of timeline do you have 587 00:33:18,160 --> 00:33:23,640 Speaker 1: in terms of making that decision. Well, first, I'm I'm 588 00:33:23,640 --> 00:33:28,080 Speaker 1: always humbled to be asked, and early in my career, 589 00:33:28,120 --> 00:33:29,960 Speaker 1: as I write in the book, So Help Me God, 590 00:33:30,160 --> 00:33:34,800 Speaker 1: back in twenty ten, I had unfer national office. I 591 00:33:34,920 --> 00:33:38,600 Speaker 1: ultimately prayed through it with my wife, spoke to friends, 592 00:33:38,600 --> 00:33:40,600 Speaker 1: and we felt called to come home here in Indiana 593 00:33:40,640 --> 00:33:44,200 Speaker 1: and serve as governor of this great state. And that 594 00:33:44,320 --> 00:33:46,680 Speaker 1: decision was, you know, one of the great honors of 595 00:33:46,720 --> 00:33:49,480 Speaker 1: my life and led to opportunities to serve as as 596 00:33:49,520 --> 00:33:52,480 Speaker 1: your vice president as well. So you know, what I 597 00:33:52,480 --> 00:33:56,000 Speaker 1: can tell you is that you know, with two inactive 598 00:33:56,040 --> 00:33:59,040 Speaker 1: duty military in our immediate family, we actually haven't been 599 00:33:59,040 --> 00:34:03,480 Speaker 1: together for the last three years. But this Christmas, everybody's 600 00:34:03,520 --> 00:34:05,840 Speaker 1: going to be home in Indiana, and Karen and I 601 00:34:05,880 --> 00:34:07,840 Speaker 1: are going to take time as we always have, to 602 00:34:08,480 --> 00:34:12,279 Speaker 1: sit down with our kids, their spouses and talk to 603 00:34:12,400 --> 00:34:15,040 Speaker 1: friends and continue to listen to the American people. And 604 00:34:16,200 --> 00:34:18,759 Speaker 1: I always tell people there's two kinds of people in politics. 605 00:34:18,840 --> 00:34:21,440 Speaker 1: There's people that are driven and people that are called. 606 00:34:22,000 --> 00:34:23,960 Speaker 1: And if you reach so help me God, you'll you'll 607 00:34:23,960 --> 00:34:26,879 Speaker 1: hear that. I've been both. I've let my ambition get 608 00:34:26,880 --> 00:34:30,719 Speaker 1: ahead of my values in the past and the way 609 00:34:30,760 --> 00:34:34,600 Speaker 1: that as a Christian I feel called to represent myself 610 00:34:34,640 --> 00:34:37,680 Speaker 1: in the public square. But for the last twenty years, 611 00:34:37,680 --> 00:34:40,920 Speaker 1: we've we've tried to follow a calling, guys, and so 612 00:34:40,960 --> 00:34:43,520 Speaker 1: we're going to pray through it, give a careful consideration, 613 00:34:43,640 --> 00:34:46,239 Speaker 1: and sometime after the first of the year, we'll just 614 00:34:46,280 --> 00:34:49,800 Speaker 1: discern what our next calling might be. But I promised 615 00:34:49,800 --> 00:34:53,400 Speaker 1: to keep Clay Travis and Buck Sexton posted thank you. 616 00:34:53,400 --> 00:34:56,440 Speaker 1: I appreciate that, do you And as part of that, 617 00:34:57,040 --> 00:34:59,839 Speaker 1: do you think Joe Biden will run? Do you think 618 00:35:00,040 --> 00:35:03,799 Speaker 1: he should run for reelection? And does his choice in 619 00:35:03,840 --> 00:35:08,839 Speaker 1: any way impact your own choice. Well, the thing I'll 620 00:35:08,880 --> 00:35:11,600 Speaker 1: tell you emphatically is Joe Biden and Kamala Harris should 621 00:35:11,640 --> 00:35:15,840 Speaker 1: not be reelected as President and Vice president. I no doubt, guys, 622 00:35:15,840 --> 00:35:19,120 Speaker 1: I knew they'd be bad. I didn't know they'd be 623 00:35:19,120 --> 00:35:22,440 Speaker 1: this bad this fast. But then again, you know, I mean, 624 00:35:22,520 --> 00:35:26,239 Speaker 1: literally from day one, Joe Biden and Kamala Harris have 625 00:35:26,360 --> 00:35:31,640 Speaker 1: been dismantling the very policies that created the prosperity, the 626 00:35:31,760 --> 00:35:37,080 Speaker 1: border security, of the strength of our economy that we 627 00:35:37,120 --> 00:35:39,839 Speaker 1: had in those first three years of the Trump pens administration. 628 00:35:39,920 --> 00:35:43,440 Speaker 1: I mean, they literally a gusher of spending that launched 629 00:35:44,920 --> 00:35:48,080 Speaker 1: the worst inflation in forty years of war on energy 630 00:35:49,520 --> 00:35:53,319 Speaker 1: after we achieved energy independence that has now set in 631 00:35:53,400 --> 00:35:56,880 Speaker 1: motion that gasoline prices through the WORF going into a 632 00:35:56,920 --> 00:36:00,279 Speaker 1: Thanksgiving weekend. And of course, what I've been down to 633 00:36:00,320 --> 00:36:02,879 Speaker 1: the southern border in Arizona many times in the last 634 00:36:02,920 --> 00:36:06,160 Speaker 1: two years, five million people have come into this country 635 00:36:06,680 --> 00:36:09,680 Speaker 1: illegally in the last two years, after we had reduced 636 00:36:09,719 --> 00:36:15,280 Speaker 1: illegal immigration by ninety percent. So, you know, whatever President 637 00:36:15,360 --> 00:36:18,160 Speaker 1: Biden decides to do and whatever we decide to do, 638 00:36:18,280 --> 00:36:21,239 Speaker 1: I'm going to be working my heart out to make 639 00:36:21,280 --> 00:36:24,920 Speaker 1: sure that we do not get four more years of 640 00:36:25,000 --> 00:36:29,920 Speaker 1: the disastrous record of the Biden Harris administration. We've got 641 00:36:29,960 --> 00:36:32,560 Speaker 1: a good start in the House of Representatives with a 642 00:36:32,600 --> 00:36:35,560 Speaker 1: new Republican majority, but the next step is to win 643 00:36:35,600 --> 00:36:38,360 Speaker 1: the Senate. When the White House win statehouses around the country, 644 00:36:38,360 --> 00:36:41,120 Speaker 1: and I believe we will. I think we're at the 645 00:36:41,120 --> 00:36:43,960 Speaker 1: beginning of a great American comeback. The book is so 646 00:36:44,080 --> 00:36:47,800 Speaker 1: help me God, Vice President Pence the author, Sir, appreciate 647 00:36:47,840 --> 00:36:50,400 Speaker 1: you being with us. We'll talk to you soon. Guys, 648 00:36:50,400 --> 00:36:52,759 Speaker 1: thanks for having me on us, so appreciate it. We'll 649 00:36:52,800 --> 00:36:56,239 Speaker 1: talk again soon. 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We had Nancy Grace on 677 00:38:28,120 --> 00:38:31,359 Speaker 1: to talk about a story that's leading the news everywhere 678 00:38:31,480 --> 00:38:35,560 Speaker 1: right now, and both Bucket, myself and probably you and 679 00:38:35,680 --> 00:38:37,840 Speaker 1: some of your family as you get close to Thanksgiving. 680 00:38:37,840 --> 00:38:41,400 Speaker 1: It's a conversation that will likely be emerging, and it 681 00:38:41,440 --> 00:38:45,160 Speaker 1: has to do with the quadruple murder that is as 682 00:38:45,239 --> 00:38:50,440 Speaker 1: of now unsolved from near the University of Idaho, right 683 00:38:50,480 --> 00:38:53,839 Speaker 1: off the campus there in Moscow, Idaho. And we got 684 00:38:53,880 --> 00:38:57,160 Speaker 1: a ton of feedback after that conversation that we had 685 00:38:57,239 --> 00:39:00,959 Speaker 1: with Nancy Grace yesterday. I want to open up phone 686 00:39:00,960 --> 00:39:05,080 Speaker 1: lines just these specific callers. If you are listening to 687 00:39:05,200 --> 00:39:10,320 Speaker 1: us in Spokane, Washington, the area kq NT AM huge 688 00:39:10,320 --> 00:39:13,440 Speaker 1: audience that we have there, we believe it extends down 689 00:39:13,480 --> 00:39:17,200 Speaker 1: into the University of Idaho area right there on the 690 00:39:17,200 --> 00:39:20,560 Speaker 1: border between Idaho and Washington. I'd like to hear, and 691 00:39:20,640 --> 00:39:24,440 Speaker 1: Buck would like to hear from people in Moscow, Idaho, 692 00:39:24,800 --> 00:39:29,359 Speaker 1: about how all of this is going down, what the 693 00:39:29,360 --> 00:39:32,400 Speaker 1: community is responding. There hadn't been a murder there in 694 00:39:32,480 --> 00:39:36,760 Speaker 1: seven years. Buck, and there were six people in this house. 695 00:39:37,440 --> 00:39:40,320 Speaker 1: Four of them were stabbed to death on the second 696 00:39:40,400 --> 00:39:44,040 Speaker 1: and the third floor. They still have been unable to 697 00:39:44,080 --> 00:39:48,960 Speaker 1: find alleged perpetrator, at least publicly, not a lot of 698 00:39:49,000 --> 00:39:52,279 Speaker 1: evidence in this case. There were two people on the 699 00:39:52,360 --> 00:39:55,320 Speaker 1: first floor. I don't know if they were in locked bedrooms. 700 00:39:55,320 --> 00:39:58,080 Speaker 1: I haven't seen the specifics about why they were not attacked. 701 00:39:58,400 --> 00:40:01,760 Speaker 1: But on the second and the third floor, four people 702 00:40:01,920 --> 00:40:05,880 Speaker 1: stabbed to death while they were sleeping. They were not found. 703 00:40:05,920 --> 00:40:09,360 Speaker 1: I don't believe buck until the next day around noon. 704 00:40:09,480 --> 00:40:12,600 Speaker 1: These are college kids. They believe the stabbing happened in 705 00:40:12,640 --> 00:40:17,160 Speaker 1: the three to four am time area. These kids have 706 00:40:17,280 --> 00:40:20,000 Speaker 1: been out until around two in the morning. It's a 707 00:40:20,040 --> 00:40:23,800 Speaker 1: Saturday on a college campus, not uncommon at all. And 708 00:40:24,320 --> 00:40:29,319 Speaker 1: I can't stop reading about this case and or consuming 709 00:40:29,480 --> 00:40:33,000 Speaker 1: stories about this case. And I know many of you 710 00:40:33,080 --> 00:40:35,279 Speaker 1: are the same as us. So eight hundred two eight 711 00:40:35,320 --> 00:40:37,960 Speaker 1: two two eight eight two. We didn't give people an 712 00:40:37,960 --> 00:40:40,799 Speaker 1: opportunity yesterday to react, but we would like people in 713 00:40:40,880 --> 00:40:44,279 Speaker 1: the Moscow, Idaho region in that area to let us 714 00:40:44,280 --> 00:40:47,120 Speaker 1: know what's going on and what it feels like to 715 00:40:47,200 --> 00:40:48,919 Speaker 1: be in this community where there hadn't been a murder 716 00:40:48,960 --> 00:40:52,400 Speaker 1: in seven years and suddenly there's an unsolved quadruple murder 717 00:40:52,440 --> 00:40:54,839 Speaker 1: of college kids. And you know, yesterday when we had 718 00:40:54,920 --> 00:40:57,759 Speaker 1: Nancy Grays on to talk about this, she said that 719 00:40:57,840 --> 00:41:02,799 Speaker 1: she would not connect the data point, if you will, 720 00:41:02,920 --> 00:41:07,240 Speaker 1: the report about a dog that had been skinned and gutted. 721 00:41:07,600 --> 00:41:09,840 Speaker 1: That was found a few weeks before this, but in 722 00:41:09,880 --> 00:41:12,480 Speaker 1: the same neighborhood. This is not a big place in Moscow, Idaho. 723 00:41:12,480 --> 00:41:14,960 Speaker 1: We said yesterday, twenty five thousand people. There's a small town. 724 00:41:15,000 --> 00:41:19,280 Speaker 1: It's pushed right up against the border of Washington State 725 00:41:20,520 --> 00:41:23,799 Speaker 1: and you know, so it's western Idaho. And today the 726 00:41:23,840 --> 00:41:26,560 Speaker 1: police are saying that they're unrelated. But when I read 727 00:41:27,120 --> 00:41:30,440 Speaker 1: the explanation for why it's unrelated, they just said it's 728 00:41:30,480 --> 00:41:34,440 Speaker 1: wildlife activity or something. It seemed bizarre to me. And 729 00:41:34,920 --> 00:41:37,400 Speaker 1: you have to remember and this is this is just 730 00:41:37,600 --> 00:41:41,520 Speaker 1: the way it is, unfortunately, and instances like this where 731 00:41:41,520 --> 00:41:43,920 Speaker 1: there's a very very serious, hainous crime that happens in 732 00:41:43,960 --> 00:41:47,960 Speaker 1: a community that just has limited law enforce and resources. 733 00:41:48,719 --> 00:41:50,839 Speaker 1: The cops that are dealing with this, especially the first 734 00:41:50,880 --> 00:41:52,719 Speaker 1: ones on the scene, they're to say they're not used 735 00:41:52,760 --> 00:41:54,680 Speaker 1: to this. As a dramatic understatement, I mean, very few 736 00:41:54,680 --> 00:41:57,840 Speaker 1: cops have seen these kinds of crime scenes before. But 737 00:41:57,920 --> 00:42:00,520 Speaker 1: there's already a lot of a lot of parting. Is 738 00:42:00,520 --> 00:42:02,520 Speaker 1: it fair or not? I don't know. Right, we're not there, 739 00:42:02,680 --> 00:42:05,880 Speaker 1: We're not able to cover this on the ground. The 740 00:42:05,960 --> 00:42:08,600 Speaker 1: people are saying that you know, tire tracks were not 741 00:42:08,719 --> 00:42:14,200 Speaker 1: preserved immediately. I mean, some rudimentary investigative mistakes seem to 742 00:42:14,239 --> 00:42:17,400 Speaker 1: have been made here, which may slow the whole process 743 00:42:17,440 --> 00:42:20,160 Speaker 1: down of even getting some sense. I mean, they have 744 00:42:20,200 --> 00:42:22,399 Speaker 1: no idea of motive, They have no suspects that we've 745 00:42:22,440 --> 00:42:25,600 Speaker 1: even gotten an inclination about yet, and I think people 746 00:42:25,640 --> 00:42:28,400 Speaker 1: are realizing that this could be This could be a 747 00:42:28,400 --> 00:42:31,040 Speaker 1: long haul to try to get some measure of justice 748 00:42:31,080 --> 00:42:34,680 Speaker 1: for these families by finding whoever did this. I mean, 749 00:42:34,719 --> 00:42:37,759 Speaker 1: this is among the more heinous crimes anybody can think 750 00:42:37,800 --> 00:42:41,960 Speaker 1: of in recent memory. So I don't understand how why 751 00:42:42,000 --> 00:42:44,920 Speaker 1: the dog based on the reporting, why that would be unrelated, 752 00:42:44,920 --> 00:42:48,560 Speaker 1: But apparently police are saying it is unrelated. There's just 753 00:42:48,600 --> 00:42:51,200 Speaker 1: some things that don't add up. Clay went into there 754 00:42:51,200 --> 00:42:53,840 Speaker 1: were other people in the house. How is it this 755 00:42:53,880 --> 00:42:56,120 Speaker 1: person was able to the killer was able to do 756 00:42:56,160 --> 00:42:59,440 Speaker 1: this without waking anybody. There was a dog in the 757 00:42:59,440 --> 00:43:02,719 Speaker 1: house that didn't I mean maybe they're used to Maybe 758 00:43:02,760 --> 00:43:04,440 Speaker 1: the dog barked a little bit, it didn't wake anybody 759 00:43:04,480 --> 00:43:06,640 Speaker 1: up because they're used to it. But the dog has 760 00:43:06,640 --> 00:43:09,800 Speaker 1: been taken away from the house. This is reporting from today. 761 00:43:10,480 --> 00:43:13,080 Speaker 1: How could somebody manage to get in. Think of the 762 00:43:13,239 --> 00:43:19,399 Speaker 1: risk of discovery that this murderer would be taking by 763 00:43:19,480 --> 00:43:22,759 Speaker 1: going into this house with a knife and one by 764 00:43:22,800 --> 00:43:25,799 Speaker 1: one killing these individuals in their sleep. It would be 765 00:43:25,840 --> 00:43:28,759 Speaker 1: so easy for someone, including people in the house who 766 00:43:28,800 --> 00:43:31,800 Speaker 1: weren't even attacked, to cry out, just you know, to scream, 767 00:43:31,880 --> 00:43:35,080 Speaker 1: to say what's going on. It just doesn't I've I've 768 00:43:35,160 --> 00:43:36,960 Speaker 1: never looked. I don't know if anyone's ever seen anything 769 00:43:36,960 --> 00:43:39,920 Speaker 1: like this before. I've never seen anything like this, And 770 00:43:40,320 --> 00:43:43,880 Speaker 1: I asked Nancy yesterday during that interview, I don't think 771 00:43:43,920 --> 00:43:46,760 Speaker 1: you can underrate the aspect of the murders being occurring 772 00:43:46,960 --> 00:43:51,560 Speaker 1: with a knife. That's so violent, it's so visceral. You 773 00:43:51,600 --> 00:43:54,799 Speaker 1: are right up on top of the person, and it 774 00:43:54,880 --> 00:43:58,880 Speaker 1: feels quite a lot different than say, shooting someone with 775 00:43:58,960 --> 00:44:02,480 Speaker 1: a gun from a disc Yeah. I remember I listened 776 00:44:02,520 --> 00:44:06,560 Speaker 1: to a very popular iHeartMedia podcast on the piked In 777 00:44:06,680 --> 00:44:11,120 Speaker 1: massacre in Ohio, which I think was the second biggest 778 00:44:11,160 --> 00:44:13,640 Speaker 1: mass murder in the country in that year after the 779 00:44:13,680 --> 00:44:16,279 Speaker 1: Pulse nightclub shooting. So it was a major and it 780 00:44:16,360 --> 00:44:20,760 Speaker 1: was a dispute between two families that escalated to where 781 00:44:20,960 --> 00:44:23,799 Speaker 1: I think it was five of the family members were 782 00:44:23,880 --> 00:44:26,919 Speaker 1: killed in their sleep. They were killed with a firearm though, 783 00:44:27,360 --> 00:44:29,600 Speaker 1: so somebody went in and killed And clearly there was 784 00:44:29,640 --> 00:44:31,040 Speaker 1: a there was a baby at one of the crime 785 00:44:31,080 --> 00:44:33,160 Speaker 1: scenes that was spared. They didn't they didn't go after 786 00:44:33,160 --> 00:44:34,600 Speaker 1: the baby. They were going after the adults and the 787 00:44:34,600 --> 00:44:38,399 Speaker 1: family was a mass murder. Five people killed. But they 788 00:44:38,480 --> 00:44:41,200 Speaker 1: used a gun and in this instance they were using 789 00:44:41,360 --> 00:44:46,160 Speaker 1: this individual was using a knife. And it cannot feel 790 00:44:46,239 --> 00:44:49,680 Speaker 1: right now, well, I mean that to that community, for example, 791 00:44:49,680 --> 00:44:51,600 Speaker 1: they have no idea. It's not like they have a 792 00:44:51,640 --> 00:44:53,319 Speaker 1: sense of who this might be and the person's on 793 00:44:53,360 --> 00:44:57,600 Speaker 1: the run. They seemed to know nothing, which given the 794 00:44:57,680 --> 00:45:00,080 Speaker 1: national level attack mean meaning the police seemed to know 795 00:45:00,440 --> 00:45:03,120 Speaker 1: nothing about who did this. Now they could behold I know, 796 00:45:03,200 --> 00:45:05,239 Speaker 1: law enforcement officers listening to sing. Look, that could be 797 00:45:05,280 --> 00:45:09,040 Speaker 1: holding back key details. That is possible, clearly, And like 798 00:45:09,080 --> 00:45:12,920 Speaker 1: I said, we're not doing the investigation. But it doesn't 799 00:45:13,000 --> 00:45:15,200 Speaker 1: you know how they pull all this together. They're gonna 800 00:45:15,239 --> 00:45:17,279 Speaker 1: have a lot of DNA we discussed this yesterday, a 801 00:45:17,280 --> 00:45:19,960 Speaker 1: lot of evidence at the scene, but you need the 802 00:45:20,000 --> 00:45:23,040 Speaker 1: other piece of that, meaning you need to have a 803 00:45:23,080 --> 00:45:25,520 Speaker 1: match with somebody. So if they're not in any databases, 804 00:45:26,040 --> 00:45:29,360 Speaker 1: really tough to know who you're looking for. And also, again, 805 00:45:29,400 --> 00:45:32,080 Speaker 1: if you're living in that community eight hundred two a 806 00:45:32,200 --> 00:45:37,920 Speaker 1: two two eight two, it's unlikely that someone just suddenly 807 00:45:38,000 --> 00:45:42,960 Speaker 1: snaps and stabs for people to death. So is this 808 00:45:43,040 --> 00:45:47,800 Speaker 1: a vagrant? Was this a crime where someone is moving through? 809 00:45:47,960 --> 00:45:51,160 Speaker 1: Are there any other crimes that are somewhat similar that 810 00:45:51,239 --> 00:45:53,680 Speaker 1: could be connected to this one in the region, in 811 00:45:53,760 --> 00:45:57,239 Speaker 1: the area. To me, this is this is one of 812 00:45:57,239 --> 00:46:02,200 Speaker 1: those stories. I'm not surprised at all that it is 813 00:46:02,239 --> 00:46:05,040 Speaker 1: receiving the amount of attention it does, and is that 814 00:46:05,080 --> 00:46:08,960 Speaker 1: it's opening many different newscasts right now because this is 815 00:46:08,960 --> 00:46:11,279 Speaker 1: the mystery the likes of which we frankly just do 816 00:46:11,360 --> 00:46:14,399 Speaker 1: not see very often in this country. So again, we'll 817 00:46:14,400 --> 00:46:16,560 Speaker 1: take some of your calls in the next segment. I'd 818 00:46:16,600 --> 00:46:19,400 Speaker 1: like for people in that region to give us a 819 00:46:19,520 --> 00:46:22,680 Speaker 1: sense for the community and the community's response so far. 820 00:46:23,200 --> 00:46:27,520 Speaker 1: Eight hundred two eight two two eight eight two. Maybe Also, 821 00:46:27,560 --> 00:46:31,839 Speaker 1: if you're an investigator, a criminal profiler based on we've 822 00:46:31,840 --> 00:46:34,280 Speaker 1: got a huge, huge law enforce and community that listens. 823 00:46:34,280 --> 00:46:36,359 Speaker 1: If you have any and just any insight you can 824 00:46:36,400 --> 00:46:38,839 Speaker 1: offer to us. You know, the only investigations I ever 825 00:46:38,880 --> 00:46:41,319 Speaker 1: did were counter terrorism, which is obviously very different from this. 826 00:46:41,760 --> 00:46:44,000 Speaker 1: We'd love to hear from you guys as well, in 827 00:46:44,040 --> 00:46:46,279 Speaker 1: the event that you could help to analyze this based 828 00:46:46,280 --> 00:46:48,759 Speaker 1: on what you do for your profession. One eight hundred 829 00:46:48,840 --> 00:46:50,799 Speaker 1: two eight two two eight A two. We will take 830 00:46:50,840 --> 00:46:53,280 Speaker 1: your calls. We're also going to be speaking with doctor 831 00:46:53,360 --> 00:46:56,880 Speaker 1: Latipo from Florida, the Surgeon General, who has helped to 832 00:46:57,040 --> 00:46:59,360 Speaker 1: drive what is the best response I think on a 833 00:46:59,440 --> 00:47:03,080 Speaker 1: state based in the state of Florida to COVID. What 834 00:47:03,120 --> 00:47:05,840 Speaker 1: does he think of the comments made by doctor Fauci 835 00:47:06,200 --> 00:47:08,760 Speaker 1: and doctor jaw today in the White House Press briefing. 836 00:47:08,800 --> 00:47:11,080 Speaker 1: We will talk with him in the third hour of 837 00:47:11,120 --> 00:47:14,200 Speaker 1: the program as we continue to move towards Thanksgiving. We're 838 00:47:14,200 --> 00:47:17,120 Speaker 1: grateful for all of you hanging out with us. Our 839 00:47:17,200 --> 00:47:19,160 Speaker 1: nay She was founded on the principle that all men 840 00:47:19,200 --> 00:47:21,600 Speaker 1: are created equal. But there are far too many colleges 841 00:47:21,600 --> 00:47:25,480 Speaker 1: and universities, including those in the Ivy League, continuing to 842 00:47:25,600 --> 00:47:28,439 Speaker 1: use race as a factor for admissions. The Supreme Court 843 00:47:28,480 --> 00:47:30,680 Speaker 1: is deciding a case on the subject right now. But 844 00:47:30,760 --> 00:47:34,279 Speaker 1: there's a unique American college that doesn't discriminate based on race. 845 00:47:34,440 --> 00:47:37,920 Speaker 1: It never has and it never will. It's Hillsdale College. 846 00:47:38,239 --> 00:47:40,839 Speaker 1: This college in Michigan was founded in eighteen forty four 847 00:47:40,880 --> 00:47:44,880 Speaker 1: to educate all persons irrespective of nationality, color, or sex. 848 00:47:45,360 --> 00:47:47,960 Speaker 1: It continues at policy today, admitting students on the strength 849 00:47:47,960 --> 00:47:51,759 Speaker 1: of their character, ability, and intentions, not their heritage or background. 850 00:47:52,520 --> 00:47:55,920 Speaker 1: Doctor Larry arn the president of Hillsdale, recently published an 851 00:47:56,000 --> 00:47:59,960 Speaker 1: article explaining Hillsdale's color blind policies and its related refusal 852 00:48:00,080 --> 00:48:03,200 Speaker 1: of government funding, even indirectly in the form of federal 853 00:48:03,239 --> 00:48:06,760 Speaker 1: student aide. Read it for yourself at Clay and Buck 854 00:48:06,920 --> 00:48:11,560 Speaker 1: four Hillsdale dot com. That's Clay and Buck four Hillsdale 855 00:48:11,600 --> 00:48:13,440 Speaker 1: dot com. And after you read it, you may even 856 00:48:13,480 --> 00:48:15,960 Speaker 1: want to support Hillsdale with a year end gift. It's 857 00:48:15,960 --> 00:48:19,760 Speaker 1: a great institution that supports so many of your values 858 00:48:19,800 --> 00:48:24,000 Speaker 1: and ideas. Read doctor Arnes article today at Clay and 859 00:48:24,280 --> 00:48:29,480 Speaker 1: Buck four Hillsdale dot com. Two of the hardest voices 860 00:48:29,480 --> 00:48:33,080 Speaker 1: to tell aparts, but one unified voice when it comes 861 00:48:33,200 --> 00:48:44,600 Speaker 1: to the truth. The Clay Travis and Buck Sexton Show