1 00:00:01,960 --> 00:00:05,440 Speaker 1: The lib narrative on COVID nineteen is in free fall. Now. 2 00:00:05,519 --> 00:00:08,000 Speaker 1: CDC chief Rochelle Wilenski is admitting that a lot of 3 00:00:08,000 --> 00:00:10,680 Speaker 1: people in the hospital are there with COVID instead of 4 00:00:10,840 --> 00:00:13,720 Speaker 1: from it. Oh what a surprise, right, not at all 5 00:00:14,400 --> 00:00:15,920 Speaker 1: for those of us who've been saying this for over 6 00:00:15,960 --> 00:00:19,400 Speaker 1: a year now. Oh while they called us conspiracy theorists, 7 00:00:19,640 --> 00:00:21,360 Speaker 1: it looks like we were right again. It's time for 8 00:00:21,400 --> 00:00:30,639 Speaker 1: hold the line. Welcome to hold the line. I'm buck Sexton. 9 00:00:30,800 --> 00:00:33,000 Speaker 1: I don't want to do a victory dance over and 10 00:00:33,040 --> 00:00:35,560 Speaker 1: over again on being right when it comes to COVID. 11 00:00:35,600 --> 00:00:38,240 Speaker 1: I want the madness to stop. That's the most important thing. 12 00:00:38,640 --> 00:00:41,599 Speaker 1: I want the libs. I want the fauci e commies 13 00:00:41,920 --> 00:00:45,120 Speaker 1: to take their boot off our throat and the mask 14 00:00:45,240 --> 00:00:47,199 Speaker 1: off our face. That would be a great start. Right, 15 00:00:47,680 --> 00:00:50,200 Speaker 1: Let's just get down into reality here for a second. 16 00:00:50,240 --> 00:00:53,840 Speaker 1: First of all, they have failed, Okay, they failed to 17 00:00:54,000 --> 00:00:56,400 Speaker 1: stop the spread. They can talk as much as they 18 00:00:56,400 --> 00:00:58,520 Speaker 1: want about how the shot is good for individuals to 19 00:00:58,520 --> 00:01:01,200 Speaker 1: protect against hospitalzation and death. And sure, that's a good thing, 20 00:01:01,320 --> 00:01:03,640 Speaker 1: and we say that here on the show, but that 21 00:01:03,680 --> 00:01:05,760 Speaker 1: means that individuals who are at risk should choose to 22 00:01:05,800 --> 00:01:08,319 Speaker 1: get the shot, and the public messaging focus should have 23 00:01:08,319 --> 00:01:11,440 Speaker 1: been on getting those at risk the shot, not thirty 24 00:01:11,480 --> 00:01:14,080 Speaker 1: year old nurses that already have natural immunity who don't 25 00:01:14,080 --> 00:01:16,759 Speaker 1: want the vacts, not five and ten year old kids 26 00:01:16,800 --> 00:01:20,600 Speaker 1: who are effectively no risk from COVID whatsoever. But they 27 00:01:20,640 --> 00:01:24,200 Speaker 1: refuse to be reasonable. They wanted control. They are in 28 00:01:24,240 --> 00:01:27,600 Speaker 1: a panic. The libs have lost their minds, and they 29 00:01:27,600 --> 00:01:30,680 Speaker 1: want to drag us all into their insanity in perpetuity. 30 00:01:30,920 --> 00:01:33,640 Speaker 1: We say no. Here on hold the line. First of all, 31 00:01:33,840 --> 00:01:35,880 Speaker 1: is it a failure to stop the spread? Gee? Take 32 00:01:35,920 --> 00:01:39,000 Speaker 1: a look New York Post headline, New York reports over 33 00:01:39,319 --> 00:01:44,639 Speaker 1: ninety thousand COVID cases and they've broken another state record. 34 00:01:44,880 --> 00:01:49,160 Speaker 1: We are breaking COVID spread records after a vaccine mandate 35 00:01:49,200 --> 00:01:51,520 Speaker 1: has been in place for four months. Oh but I 36 00:01:51,560 --> 00:01:54,200 Speaker 1: thought we did everything right. I thought if we massed 37 00:01:54,280 --> 00:01:58,080 Speaker 1: up and took the virus seriously. Nope, aunt wrong, That's 38 00:01:58,120 --> 00:02:01,080 Speaker 1: not the case. We all understand it's really going on here, right. 39 00:02:01,280 --> 00:02:04,480 Speaker 1: You're seeing the enormous failure of the narrative and the 40 00:02:04,480 --> 00:02:09,120 Speaker 1: apparatus of control in real time. This is clear to 41 00:02:09,160 --> 00:02:12,600 Speaker 1: everybody now. The whole Oh we're gonna be fine. Remember 42 00:02:12,639 --> 00:02:15,320 Speaker 1: when the live journals in DC in New York and 43 00:02:15,360 --> 00:02:19,400 Speaker 1: another Democrat enclaves, we're laughing at Florida over the summer. Hah, 44 00:02:20,080 --> 00:02:23,240 Speaker 1: Rhonda Santis. They have bad COVID case numbers because they 45 00:02:23,240 --> 00:02:27,480 Speaker 1: didn't listen to the science. Oh about that. Florida is 46 00:02:27,639 --> 00:02:30,359 Speaker 1: doing just fine right now, They've got a pretty sizeable 47 00:02:30,360 --> 00:02:32,760 Speaker 1: COVID surge, but not on the lines of what you're 48 00:02:32,760 --> 00:02:36,720 Speaker 1: seeing in New York. And turns out that the virtue 49 00:02:36,840 --> 00:02:43,080 Speaker 1: signaling did not coincide with actual viral protection, did it. Meanwhile, 50 00:02:43,400 --> 00:02:45,640 Speaker 1: the data that we have to base all this off of, 51 00:02:46,080 --> 00:02:49,480 Speaker 1: is it sound? Is it good? Do we even know 52 00:02:49,520 --> 00:02:54,440 Speaker 1: how many people are in the hospital with COVID versus 53 00:02:54,560 --> 00:02:58,000 Speaker 1: from COVID, because that's what really matters. We don't care 54 00:02:58,160 --> 00:03:01,480 Speaker 1: when it comes to our COVID conversation about an asymptomatic 55 00:03:01,520 --> 00:03:04,840 Speaker 1: case with somebody who's there for appendicitis or somebody who's 56 00:03:04,840 --> 00:03:07,200 Speaker 1: there with a broken arm in the hospital. Right, So, 57 00:03:07,240 --> 00:03:09,600 Speaker 1: do we have real numbers on this? Well, here's the 58 00:03:09,639 --> 00:03:13,360 Speaker 1: director of the CDC is just an utter incompetent saying, 59 00:03:13,400 --> 00:03:15,400 Speaker 1: oh no, we'll get back to you on that. Do 60 00:03:15,440 --> 00:03:17,320 Speaker 1: you know how many of the eight hundred and thirty 61 00:03:17,360 --> 00:03:20,720 Speaker 1: six thousand deaths in the US linked to COVID are 62 00:03:20,840 --> 00:03:24,160 Speaker 1: from COVID or how many are with COVID but they 63 00:03:24,160 --> 00:03:28,480 Speaker 1: had other co moobidities. Do you have that breakdown? Yes, 64 00:03:28,520 --> 00:03:31,440 Speaker 1: of course with Omicron, we're following that very carefully. Our 65 00:03:31,480 --> 00:03:35,800 Speaker 1: Death Registry, of course, takes a few weeks to takes 66 00:03:35,800 --> 00:03:38,720 Speaker 1: a few weeks to collect, and of course Omicron has 67 00:03:38,760 --> 00:03:40,480 Speaker 1: just been with us for a few weeks. But those 68 00:03:40,560 --> 00:03:45,720 Speaker 1: data will be forthcoming forthcoming. I feel like they're not 69 00:03:45,760 --> 00:03:48,640 Speaker 1: a big rush because, you know, Fauci had to say 70 00:03:48,680 --> 00:03:50,600 Speaker 1: recently that a lot of the kids in the hospital 71 00:03:51,000 --> 00:03:55,480 Speaker 1: marked as COVID hospitalizations weren't actually there for COVID. So 72 00:03:55,520 --> 00:03:56,840 Speaker 1: do we think that a lot, if a lot of 73 00:03:56,840 --> 00:03:58,960 Speaker 1: the children in the hospital are being marked as COVID 74 00:03:59,400 --> 00:04:02,120 Speaker 1: when they're really not COVID patients, meaning they're there for 75 00:04:02,200 --> 00:04:05,200 Speaker 1: something other than that virus. Do we think there've been 76 00:04:05,200 --> 00:04:07,120 Speaker 1: a lot of adults over the course of oh, I 77 00:04:07,120 --> 00:04:09,960 Speaker 1: don't know, the last two years who have been listed 78 00:04:10,000 --> 00:04:13,080 Speaker 1: as COVID deaths who were there who were COVID positive 79 00:04:13,400 --> 00:04:16,080 Speaker 1: but actually died of heart failure, because they were over 80 00:04:16,120 --> 00:04:20,800 Speaker 1: eighty years old and had multiple comorbidities. Well, we have 81 00:04:20,920 --> 00:04:23,280 Speaker 1: more information right now on the data. Kasanas have been 82 00:04:23,279 --> 00:04:26,120 Speaker 1: saying along, this is a disease that is dangerous to 83 00:04:26,200 --> 00:04:29,360 Speaker 1: the elderly and the sick, and particularly the elderly who 84 00:04:29,480 --> 00:04:32,320 Speaker 1: are sick. And we were yelled at, oh no, it's 85 00:04:32,360 --> 00:04:35,400 Speaker 1: so dangerous for children, ten year olds, eighteen year olds. 86 00:04:35,480 --> 00:04:39,560 Speaker 1: Let's get every professional athlete vaccinated. It's so scary and dangerous. 87 00:04:39,560 --> 00:04:41,960 Speaker 1: And we were saying, it's really not for those people. 88 00:04:42,120 --> 00:04:45,520 Speaker 1: It is for seniors and those at high risk. And 89 00:04:45,680 --> 00:04:49,520 Speaker 1: yet here is CDC Director Rochelle Lenski once again saying, yeah, 90 00:04:49,560 --> 00:04:51,320 Speaker 1: the people like I mean, she doesn't say this, but 91 00:04:51,360 --> 00:04:53,240 Speaker 1: the spasical what she segment. People like Buck who have 92 00:04:53,279 --> 00:04:55,720 Speaker 1: been pointing out who's really at risk from COVID were right. 93 00:04:56,000 --> 00:04:59,640 Speaker 1: Seventy five percent of COVID deaths at least four co 94 00:04:59,800 --> 00:05:04,520 Speaker 1: more bidities. The overwhelming number of deaths, over seventy five 95 00:05:04,600 --> 00:05:09,279 Speaker 1: percent occurred in people who had at least four comorbidities. So, really, 96 00:05:09,320 --> 00:05:13,919 Speaker 1: these are people who were unwell to begin with, unwell 97 00:05:14,040 --> 00:05:19,400 Speaker 1: to begin with comorbidities, advanced age. Gee, why do we 98 00:05:19,440 --> 00:05:23,200 Speaker 1: have vaccine mandates in the school system, Then why do 99 00:05:23,240 --> 00:05:28,279 Speaker 1: we have people that are mandating boosters for everyone. CDC 100 00:05:28,480 --> 00:05:31,719 Speaker 1: is an abomination, folks, a total failure during this whole pandemic. 101 00:05:31,839 --> 00:05:34,080 Speaker 1: Remember they messed up the testing in the early days, 102 00:05:34,320 --> 00:05:36,599 Speaker 1: they were telling us to wipe down our groceries with 103 00:05:36,760 --> 00:05:41,640 Speaker 1: lysol wipes. These people have been an abject failure. That's 104 00:05:41,680 --> 00:05:44,279 Speaker 1: the reality. Let's all look at this and be honest. Okay, 105 00:05:44,480 --> 00:05:47,040 Speaker 1: if they were fighting a war, we'd have to fire 106 00:05:47,120 --> 00:05:51,160 Speaker 1: all the generals and have a whole new draft, right, 107 00:05:51,160 --> 00:05:56,480 Speaker 1: we'd have to start from scratch. Even resident idiot at 108 00:05:56,520 --> 00:06:00,560 Speaker 1: CNN Brian Stelter, is like, CDC is a problem. Watch 109 00:06:01,360 --> 00:06:03,919 Speaker 1: here's a great example I think of how to cover 110 00:06:04,120 --> 00:06:06,120 Speaker 1: this moment in time. Here's the Today's So here's the 111 00:06:06,200 --> 00:06:09,200 Speaker 1: Annago three interviewing the CDC director being very much in 112 00:06:09,240 --> 00:06:12,240 Speaker 1: touch with the public, recognizing the CDC has turned into 113 00:06:12,279 --> 00:06:15,000 Speaker 1: a punchline. It is so sad, but it's true, the 114 00:06:15,160 --> 00:06:19,120 Speaker 1: CDC has turned into a punch line. Yeah, because they're 115 00:06:19,120 --> 00:06:22,120 Speaker 1: wrong a lot, because they're politicized hacks, because they have 116 00:06:22,160 --> 00:06:26,360 Speaker 1: no humility. They shut down scientific discussion and claimed that 117 00:06:26,440 --> 00:06:31,880 Speaker 1: that science they're appalling, and now they're also having to 118 00:06:31,920 --> 00:06:34,600 Speaker 1: all admit that what some of us have been telling 119 00:06:34,600 --> 00:06:37,880 Speaker 1: you all along is true. There is no eradicating COVID. 120 00:06:37,880 --> 00:06:40,440 Speaker 1: There's no COVID zero. This is a virus that will 121 00:06:40,440 --> 00:06:42,960 Speaker 1: be with us, that will mutate that Fortunately with omicron, 122 00:06:43,279 --> 00:06:47,039 Speaker 1: while it is more transmissible, it is also considerably less lethal, 123 00:06:47,120 --> 00:06:50,440 Speaker 1: less dangerous, So we'll be getting a whole lot of 124 00:06:50,880 --> 00:06:54,520 Speaker 1: herd immunity built up through natural immunity, not these vaccines 125 00:06:54,560 --> 00:06:59,839 Speaker 1: so much that last a few months at best. Here 126 00:06:59,880 --> 00:07:04,160 Speaker 1: is x Biden Task Force head Zeke Emanual on MSNBC saying, look, 127 00:07:04,160 --> 00:07:06,240 Speaker 1: we're not going to eradicate COVID. We're going to have 128 00:07:06,320 --> 00:07:09,080 Speaker 1: to learn to live with it. We're not getting rid 129 00:07:09,120 --> 00:07:11,720 Speaker 1: of COVID. It's not going to disappear. We're not going 130 00:07:11,720 --> 00:07:13,960 Speaker 1: to eradicate it. We're going to have to learn to 131 00:07:14,000 --> 00:07:16,080 Speaker 1: live with it, just like we learn to live with 132 00:07:16,800 --> 00:07:21,360 Speaker 1: RSV add no virus flu. We're not there yet. When 133 00:07:21,360 --> 00:07:24,000 Speaker 1: you have one hundred and forty thousand hospitalizations, you have 134 00:07:24,120 --> 00:07:28,040 Speaker 1: fifteen hundred deaths a day, you're not at a situation 135 00:07:28,120 --> 00:07:30,880 Speaker 1: where we can live with it normally. We still have 136 00:07:30,960 --> 00:07:34,040 Speaker 1: to combat it to bring those that mortality rate down 137 00:07:34,080 --> 00:07:37,120 Speaker 1: to about one hundred people a day to bring the 138 00:07:37,160 --> 00:07:41,440 Speaker 1: hospitalizations down. But once we're down, we have to sustain it, 139 00:07:41,480 --> 00:07:43,000 Speaker 1: and we will live with it. We'll be in the 140 00:07:43,080 --> 00:07:45,280 Speaker 1: new normal. We won't have to wear masks all the time. 141 00:07:45,680 --> 00:07:49,560 Speaker 1: We can go into restaurants, ventilation will be improved, that 142 00:07:49,760 --> 00:07:53,720 Speaker 1: is the situation. Won't have to wear masks all the time. 143 00:07:54,680 --> 00:08:00,000 Speaker 1: The masks, the cloth masks don't work. Admit it, admit it, lives. 144 00:08:00,000 --> 00:08:02,200 Speaker 1: They don't work. You've already had the former FDA chief 145 00:08:02,240 --> 00:08:04,160 Speaker 1: say it. You've had Lena Win on CNN say it. 146 00:08:04,400 --> 00:08:06,640 Speaker 1: They don't work. Now they say it so they can 147 00:08:06,680 --> 00:08:09,000 Speaker 1: get little kids to start wearing N ninety five masks. 148 00:08:09,440 --> 00:08:11,640 Speaker 1: But they don't work, and we should never have to 149 00:08:11,640 --> 00:08:13,120 Speaker 1: wear them again because we should have never had to 150 00:08:13,120 --> 00:08:15,800 Speaker 1: wear them in the first place. Oh no, we have 151 00:08:15,840 --> 00:08:18,840 Speaker 1: a lot of work here to do. Friends, the authoritarian Libs, 152 00:08:18,920 --> 00:08:20,840 Speaker 1: just because they're wrong doesn't mean they're going to change. 153 00:08:21,560 --> 00:08:23,440 Speaker 1: We'll have more on this with the first TV's Jesse 154 00:08:23,600 --> 00:08:25,480 Speaker 1: Kelly we come back, but first one, I want to 155 00:08:25,480 --> 00:08:27,520 Speaker 1: talk to you about protecting your online data. 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Go to secure dot com and take 173 00:09:15,920 --> 00:09:19,320 Speaker 1: back your privacy today. That's seku r dot com. Use 174 00:09:19,400 --> 00:09:22,640 Speaker 1: promo code buck for twenty five percent off. Our friend 175 00:09:22,720 --> 00:09:31,559 Speaker 1: Jesse Kelly stops by in a moment. Just like everything 176 00:09:31,559 --> 00:09:34,000 Speaker 1: else in this country, the fight against the pandemic appears 177 00:09:34,040 --> 00:09:37,199 Speaker 1: to be going woke. Yeah, you're that right, folks with 178 00:09:37,280 --> 00:09:40,800 Speaker 1: COVID treatments in short supply in some respects, the FDA 179 00:09:40,880 --> 00:09:45,480 Speaker 1: issued new guidance that healthcare providers can consider race or 180 00:09:45,520 --> 00:09:49,440 Speaker 1: ethnicity when administering potentially life saving drugs and therapeutics. What 181 00:09:49,520 --> 00:09:51,160 Speaker 1: exactly does that mean. Let's get into it with the 182 00:09:51,160 --> 00:09:52,959 Speaker 1: host of I'm right with Jesse Kelly right here on 183 00:09:53,000 --> 00:09:55,320 Speaker 1: the first TV. But what and only Jesse Kelly, Jesse, 184 00:09:55,480 --> 00:09:58,160 Speaker 1: good to see you. Well, I think we know what 185 00:09:58,200 --> 00:10:01,080 Speaker 1: it means. Buck. There's a word that was thrown around 186 00:10:01,080 --> 00:10:04,560 Speaker 1: a lot last summer. Hang on, Sorry, it starts with 187 00:10:04,600 --> 00:10:09,480 Speaker 1: a systemic racism. I believe that was the word that is. 188 00:10:09,520 --> 00:10:11,000 Speaker 1: And I don't know how you can look at that 189 00:10:11,080 --> 00:10:15,000 Speaker 1: any other way. We have these life saving treatments. You 190 00:10:15,160 --> 00:10:19,680 Speaker 1: come in for the life saving treatments, and if you're white, sorry, sir, 191 00:10:19,840 --> 00:10:21,640 Speaker 1: head on to the back of the line while we 192 00:10:21,760 --> 00:10:25,280 Speaker 1: fixed other people first. That is the very definition of 193 00:10:25,679 --> 00:10:28,000 Speaker 1: systemic racism. And I don't know about you, Buck, I 194 00:10:28,080 --> 00:10:30,599 Speaker 1: just thankly remember being told that that is basically a 195 00:10:30,720 --> 00:10:34,920 Speaker 1: national security issue. America's an evil place because of it, 196 00:10:34,960 --> 00:10:38,719 Speaker 1: and now it's official government policy. I mean, FDA put 197 00:10:38,720 --> 00:10:41,360 Speaker 1: out a fact sheet detailing the emergency youth authorization of 198 00:10:41,400 --> 00:10:45,640 Speaker 1: the drug so Traumamab, which includes includes for mild to 199 00:10:45,679 --> 00:10:49,840 Speaker 1: modern COVID cases, the conditions they had were advanced age, 200 00:10:49,840 --> 00:10:52,280 Speaker 1: which is obviously very very real. In this obesity, pregnancy, 201 00:10:52,320 --> 00:10:55,720 Speaker 1: diabetes card. It goes down a whole list other medical factors, 202 00:10:55,760 --> 00:11:01,000 Speaker 1: including race or ethnicity. So now hour actually going to 203 00:11:01,040 --> 00:11:05,199 Speaker 1: take an affirmative action approach of some kind here, or 204 00:11:05,280 --> 00:11:09,480 Speaker 1: some kind of race conscious approach to distributing life saving medicine. 205 00:11:09,520 --> 00:11:12,640 Speaker 1: This seems pretty appalling, and it's amazing that it can 206 00:11:12,679 --> 00:11:15,920 Speaker 1: actually happen in America today, but it is happening. I'm 207 00:11:15,920 --> 00:11:18,959 Speaker 1: not surprised. I know you're not surprised either, Bucky. We've 208 00:11:19,000 --> 00:11:22,800 Speaker 1: been ramsing about this stuff for two years. Now. How 209 00:11:22,800 --> 00:11:25,000 Speaker 1: do you look at the medical community in this country now? 210 00:11:25,040 --> 00:11:27,040 Speaker 1: And I realize that I'm not I'm not indicting every 211 00:11:27,080 --> 00:11:29,520 Speaker 1: doctor and nurse, because there are some wonderful ones out there, 212 00:11:29,600 --> 00:11:32,280 Speaker 1: especially the hot nurses. But let's just be honest. The 213 00:11:32,320 --> 00:11:36,920 Speaker 1: medical community they've joined forces with a really corrupt federal government. 214 00:11:36,960 --> 00:11:40,080 Speaker 1: And I'm old enough to remember when we had potential 215 00:11:40,200 --> 00:11:44,520 Speaker 1: life saving early treatments for coronavirus out there, and not me, 216 00:11:44,640 --> 00:11:47,360 Speaker 1: I'm not a medical expert, but doctors and hot nurses. 217 00:11:47,520 --> 00:11:50,000 Speaker 1: They were out there talking about how things like hydroxy 218 00:11:50,040 --> 00:11:53,360 Speaker 1: chloroquin and ivermected. And again I'm not endorsing those because 219 00:11:53,360 --> 00:11:55,440 Speaker 1: I'm not a doctor, but they were saying on camera, 220 00:11:55,800 --> 00:11:58,920 Speaker 1: I'm fixing people with this. People are coming in with COVID, 221 00:11:59,160 --> 00:12:02,120 Speaker 1: I'm giving them has saving their lives. And I remember 222 00:12:02,160 --> 00:12:05,240 Speaker 1: the medical community, in conjunction with the government in this country, 223 00:12:05,280 --> 00:12:07,280 Speaker 1: said Nope, none of that. We need a lot of 224 00:12:07,280 --> 00:12:09,480 Speaker 1: dead people because then we can blame it all on Trump. 225 00:12:09,679 --> 00:12:13,000 Speaker 1: When you stare at somebody's mom lying in a hospital bed, 226 00:12:13,120 --> 00:12:16,240 Speaker 1: dying from her own lung fluid and you say no, no, no, 227 00:12:16,240 --> 00:12:17,800 Speaker 1: no, no no, no, don't treat, or we got to win 228 00:12:17,840 --> 00:12:21,240 Speaker 1: an election, how are you any different than any other 229 00:12:21,280 --> 00:12:27,520 Speaker 1: historical monster. Is the apparatus really in disarray right now 230 00:12:27,600 --> 00:12:30,560 Speaker 1: in a way that you think might be reversible, as in, 231 00:12:30,800 --> 00:12:35,040 Speaker 1: is all this fauci narrative finally crumbling or is it 232 00:12:35,080 --> 00:12:37,680 Speaker 1: just crumbling for people that have known all along that 233 00:12:37,760 --> 00:12:40,720 Speaker 1: it's bullcrap and you're still just gonna have the doubling 234 00:12:40,800 --> 00:12:43,560 Speaker 1: down of the loons. I mean, I'm here in New York, Jesse. 235 00:12:43,640 --> 00:12:45,720 Speaker 1: They're gonna they're gonna have a booster mandate here soon, 236 00:12:45,800 --> 00:12:47,760 Speaker 1: almost guaranteed at everybody in New York they have a 237 00:12:47,760 --> 00:12:52,640 Speaker 1: booster mandate. So is the apparatus crumbling or what? Yes? 238 00:12:52,720 --> 00:12:56,040 Speaker 1: And no, this is what I think, Buck, Nobody doctor 239 00:12:56,080 --> 00:12:59,240 Speaker 1: Fauci is in gaining additional influence at this point in time. 240 00:12:59,400 --> 00:13:02,199 Speaker 1: Everyone can agree, well not everyone, but everyone with an 241 00:13:02,200 --> 00:13:04,800 Speaker 1: IQ above in Amiba can agree that he got way 242 00:13:04,840 --> 00:13:08,600 Speaker 1: too popular and influential very early on. That's only gotten 243 00:13:08,840 --> 00:13:12,000 Speaker 1: lower and lower lower as we've moved on. He's not gaining. 244 00:13:12,280 --> 00:13:15,880 Speaker 1: So technically we are gaining. But places like New York, 245 00:13:15,960 --> 00:13:19,720 Speaker 1: places like Washington, d C. They're so communist and they're 246 00:13:19,760 --> 00:13:23,120 Speaker 1: so wrapped up in a bubble. They don't have any 247 00:13:23,160 --> 00:13:27,120 Speaker 1: exposure to real information. They get their information from NBC, 248 00:13:27,520 --> 00:13:30,199 Speaker 1: they get their information from Eric Adams, they get they 249 00:13:30,200 --> 00:13:33,000 Speaker 1: watch CNN at night for real, not just hate watching 250 00:13:33,040 --> 00:13:34,760 Speaker 1: like we do. They really watch it and think that 251 00:13:34,800 --> 00:13:38,640 Speaker 1: that's news. What person, what chances that person have ever 252 00:13:38,880 --> 00:13:41,320 Speaker 1: at getting the truth about anything? Buck? They never have 253 00:13:41,400 --> 00:13:44,000 Speaker 1: a chance. They quite literally don't have a chance to 254 00:13:44,040 --> 00:13:46,240 Speaker 1: live a normal life because they don't live in the 255 00:13:46,280 --> 00:13:50,000 Speaker 1: real world. So where do you think they go at 256 00:13:50,040 --> 00:13:53,240 Speaker 1: this stage, Jesse, when the CDC just in the last 257 00:13:53,280 --> 00:13:57,640 Speaker 1: few days has announced publicly that a large percentage we 258 00:13:57,640 --> 00:13:59,280 Speaker 1: don't know the number yet because they don't know the number, 259 00:13:59,280 --> 00:14:02,640 Speaker 1: because apparently the CDC can't really count. You'll notice the UK, Israel, 260 00:14:02,679 --> 00:14:06,040 Speaker 1: there are countries that have very immediate, granular data on 261 00:14:06,080 --> 00:14:09,280 Speaker 1: this stuff. And we're talking about hospitalizations and debts, not 262 00:14:09,360 --> 00:14:12,760 Speaker 1: you know how many calories the average you know, Arkansan 263 00:14:12,880 --> 00:14:15,080 Speaker 1: is eating, right, I mean, this is something that really 264 00:14:15,120 --> 00:14:18,599 Speaker 1: affects the whole trajectory of the pandemic right now. Not 265 00:14:18,640 --> 00:14:20,480 Speaker 1: to bring in Arkansas for no reason, love my people 266 00:14:20,480 --> 00:14:23,680 Speaker 1: in Arkansas. Point we got an Arkansas governor sound bite 267 00:14:23,680 --> 00:14:25,720 Speaker 1: coming up. That's why I was thinking of it. But Jesse, 268 00:14:26,040 --> 00:14:28,040 Speaker 1: they are having to admit that a large number of 269 00:14:28,080 --> 00:14:31,040 Speaker 1: people in the hospital may not be there for COVID. 270 00:14:31,480 --> 00:14:34,200 Speaker 1: We've been saying this for a long time, and now 271 00:14:34,200 --> 00:14:35,920 Speaker 1: they say the thing that they've been yelling at us 272 00:14:35,920 --> 00:14:38,560 Speaker 1: for saying, as if we haven't been saying it, and 273 00:14:38,640 --> 00:14:42,720 Speaker 1: even getting shot down on social media, hit pieces written 274 00:14:42,720 --> 00:14:45,040 Speaker 1: about it about people like you and me in big 275 00:14:45,080 --> 00:14:49,120 Speaker 1: places New York Times, what the heck is going on? Well, 276 00:14:49,120 --> 00:14:52,240 Speaker 1: what's going on? Is there being exposed? COVID is no 277 00:14:52,320 --> 00:14:54,880 Speaker 1: longer a winner for Democrats, and what's going on is 278 00:14:54,880 --> 00:14:58,720 Speaker 1: I mean you mentioned earlier people waking up. People are 279 00:14:58,720 --> 00:15:01,400 Speaker 1: going to have to unpack. I mean, your viewers are 280 00:15:01,440 --> 00:15:03,800 Speaker 1: as informed about reality as anything else, and even a 281 00:15:03,800 --> 00:15:07,560 Speaker 1: percentage of them probably haven't fully unpacked. The United States 282 00:15:07,600 --> 00:15:10,840 Speaker 1: of America was never trying to defeat coronavirus. We were 283 00:15:10,880 --> 00:15:14,040 Speaker 1: never trying to stop deaths. That virus got here in 284 00:15:14,040 --> 00:15:17,080 Speaker 1: about fifteen minutes after it got here, it was viewed 285 00:15:17,120 --> 00:15:21,160 Speaker 1: as an opportunity to defeat Donald Trump's reelection chances. And 286 00:15:21,240 --> 00:15:24,040 Speaker 1: that's how we've approached it. That's the only reason you 287 00:15:24,080 --> 00:15:27,040 Speaker 1: wouldn't dig in and immediately figure out did this guy 288 00:15:27,080 --> 00:15:29,800 Speaker 1: die from COVID or did he die because he's sixty five, 289 00:15:29,840 --> 00:15:32,840 Speaker 1: four hundred and seventy five pounds, has emphysema and lung cancer. 290 00:15:33,200 --> 00:15:35,520 Speaker 1: We didn't do those separations, not because we don't have 291 00:15:35,560 --> 00:15:38,360 Speaker 1: people smart enough to do them. We didn't do them 292 00:15:38,360 --> 00:15:41,320 Speaker 1: because they wanted everything assigned as a COVID death. I 293 00:15:41,400 --> 00:15:43,520 Speaker 1: just put some article out on social media. I'd forgot 294 00:15:43,520 --> 00:15:45,560 Speaker 1: about him. My producer brought it up to me. Remember 295 00:15:45,600 --> 00:15:48,680 Speaker 1: the guy in Florida in July twenty twenty who wrecked 296 00:15:48,720 --> 00:15:51,440 Speaker 1: his motorcycle and died, God rest his soul, and they 297 00:15:51,480 --> 00:15:54,560 Speaker 1: counted him as a COVID death. That was simply policy 298 00:15:54,640 --> 00:15:57,880 Speaker 1: early on. Test every single person who dies, test them 299 00:15:57,920 --> 00:16:00,680 Speaker 1: until they pop positive. List them as a COVID death. 300 00:16:00,840 --> 00:16:03,360 Speaker 1: Dropping in Donald Trump's laps so we can win an election. 301 00:16:03,600 --> 00:16:07,640 Speaker 1: America isn't defeating coronavirus because we've never tried. You know, 302 00:16:07,680 --> 00:16:10,160 Speaker 1: we're still waiting to see Jesse if the Supreme Court 303 00:16:10,280 --> 00:16:12,680 Speaker 1: is going to put a stay on the national And 304 00:16:12,720 --> 00:16:15,440 Speaker 1: I've been warning my Red State brothers and sisters for 305 00:16:15,480 --> 00:16:18,680 Speaker 1: a long time. You're not safe from the federal government mandate, right. 306 00:16:18,680 --> 00:16:20,280 Speaker 1: I mean, you know you live in Texas, you live 307 00:16:20,280 --> 00:16:22,520 Speaker 1: in Florida. They're going to try to jam this thing 308 00:16:22,560 --> 00:16:24,240 Speaker 1: down your throat wherever you are. If you're at a 309 00:16:24,240 --> 00:16:27,120 Speaker 1: company with over one hundred employees, and you know you 310 00:16:27,120 --> 00:16:29,000 Speaker 1: have to fit into all these different categories. But it's 311 00:16:29,040 --> 00:16:31,960 Speaker 1: coming for eighty four million people. We're gonna find out 312 00:16:31,960 --> 00:16:34,520 Speaker 1: if the Court actually stays this or not. They're not 313 00:16:34,560 --> 00:16:36,840 Speaker 1: going to rule it till June. Here's the governor of Arkansas. 314 00:16:36,920 --> 00:16:40,080 Speaker 1: Why I was thinking of Arkansas. Watch. I don't believe 315 00:16:40,160 --> 00:16:42,480 Speaker 1: that the mandate is the right way to go at 316 00:16:42,480 --> 00:16:47,600 Speaker 1: this time, particularly the federal mandate. That should be struck 317 00:16:47,720 --> 00:16:50,480 Speaker 1: down because that's going to give us a greater worker shortage. 318 00:16:50,520 --> 00:16:55,400 Speaker 1: It's going to increase the resistance for taking the vaccine, 319 00:16:55,440 --> 00:16:58,880 Speaker 1: which is what we want to be able to do. Now. 320 00:16:59,040 --> 00:17:02,320 Speaker 1: The government of Arkansas not exactly a frontline freedom fighter 321 00:17:02,320 --> 00:17:03,600 Speaker 1: in a lot of ways. So I'll just say that 322 00:17:03,600 --> 00:17:05,960 Speaker 1: he's okay on some things, not great on others. A 323 00:17:06,000 --> 00:17:10,080 Speaker 1: little too pro pro faucism for my taste. But I mean, 324 00:17:10,680 --> 00:17:15,080 Speaker 1: you know, what do you think here? I think that 325 00:17:15,119 --> 00:17:17,879 Speaker 1: we're about to see a great dividing. I don't have 326 00:17:17,920 --> 00:17:20,280 Speaker 1: an honesty, to be frank. I don't have any faith 327 00:17:20,400 --> 00:17:23,160 Speaker 1: in the Supreme Court at all. And look, we're at 328 00:17:23,160 --> 00:17:25,119 Speaker 1: the point now, Buck, I mean, we've been talking a 329 00:17:25,119 --> 00:17:27,240 Speaker 1: lot about the CDC and Democrats. We're at the point 330 00:17:27,240 --> 00:17:30,720 Speaker 1: now where Americans in general don't trust their institutions and 331 00:17:30,760 --> 00:17:33,080 Speaker 1: you're going to see a lot of people, myself included. 332 00:17:33,440 --> 00:17:35,600 Speaker 1: I'll be honest, I don't care what the Supreme Court says. 333 00:17:35,640 --> 00:17:38,560 Speaker 1: I'm not taking it. I'm not ruled by a Supreme court. 334 00:17:38,560 --> 00:17:41,840 Speaker 1: If they view that the federal government has the authority 335 00:17:41,880 --> 00:17:44,119 Speaker 1: to point at me and say inject this into your body, 336 00:17:44,320 --> 00:17:46,280 Speaker 1: then I point right back and say, you're not a 337 00:17:46,400 --> 00:17:48,679 Speaker 1: legitimate institution anymore, and I don't have to do what 338 00:17:48,760 --> 00:17:51,440 Speaker 1: you say, and I'm not a minority. You're gonna find 339 00:17:51,480 --> 00:17:54,000 Speaker 1: a huge percentage of these goop states that say that, 340 00:17:54,400 --> 00:17:56,680 Speaker 1: and you're gonna have attorney general pushback. You're going to 341 00:17:56,760 --> 00:17:59,600 Speaker 1: see a real divide in this country. Buck. I hope, 342 00:17:59,800 --> 00:18:02,600 Speaker 1: I hope not a dangerous divide. But I'm telling you, 343 00:18:02,840 --> 00:18:05,280 Speaker 1: you start pointing your finger at eighty million Americans and 344 00:18:05,359 --> 00:18:10,960 Speaker 1: say do this or you're fired, that's a problem. Jesse. Sanity, 345 00:18:11,040 --> 00:18:12,959 Speaker 1: my friend. It's a nice thing, is that, even if 346 00:18:12,960 --> 00:18:14,679 Speaker 1: people don't share it with us. It's good to have 347 00:18:14,720 --> 00:18:17,760 Speaker 1: when you can see you be good, Be good, brother. 348 00:18:19,640 --> 00:18:21,720 Speaker 1: New York City's mayor Eric Adams has announced they'll be 349 00:18:21,760 --> 00:18:23,960 Speaker 1: signing a bill into law that will allow non citizens 350 00:18:23,960 --> 00:18:25,960 Speaker 1: who've been in the city for thirty days to vote 351 00:18:25,960 --> 00:18:29,440 Speaker 1: in local elections. We'll have reaction from conservative talk show 352 00:18:29,480 --> 00:18:31,240 Speaker 1: host Mark Simone coming up. 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That's Code 371 00:19:18,240 --> 00:19:21,080 Speaker 1: Radio at hometitlelock dot Com will be right back with 372 00:19:21,160 --> 00:19:30,000 Speaker 1: more hold the line. New York City Mayor Eric Adams 373 00:19:30,000 --> 00:19:33,040 Speaker 1: about to saddle New Yorkers with yet another controversial measure. 374 00:19:33,440 --> 00:19:35,919 Speaker 1: Adams said Saturday he will sign a bill allowing hundreds 375 00:19:35,920 --> 00:19:38,000 Speaker 1: of thousands of non citizens living in New York City 376 00:19:38,000 --> 00:19:42,800 Speaker 1: to participate in local elections by expanding voting eligibility to 377 00:19:42,960 --> 00:19:46,080 Speaker 1: Green cardholders, about ten percent of the city's population and 378 00:19:46,200 --> 00:19:52,120 Speaker 1: recipients of deferred action. Interesting. I've had some concerns about 379 00:19:52,160 --> 00:19:54,760 Speaker 1: aspects of the bill, Adams said about this. In response, 380 00:19:55,000 --> 00:19:57,520 Speaker 1: I had a productive dialogue with my colleagues and government 381 00:19:57,520 --> 00:20:00,840 Speaker 1: that put those concerns at ease. I believe allowing legislation 382 00:20:00,840 --> 00:20:02,840 Speaker 1: to be enacted is by far the best choice and 383 00:20:02,880 --> 00:20:06,520 Speaker 1: look forward to bringing millions more into the democratic process. 384 00:20:06,560 --> 00:20:07,640 Speaker 1: Or what I mean now? It is I heart radio 385 00:20:07,720 --> 00:20:10,679 Speaker 1: talk show host Mark Simone, Mark, good to see you, 386 00:20:11,440 --> 00:20:13,399 Speaker 1: Good to see you, Thanks for having me. Okay, so 387 00:20:13,520 --> 00:20:18,040 Speaker 1: let's just be clear our illegals are they? You know? 388 00:20:18,160 --> 00:20:20,480 Speaker 1: I saw a deferred action there. So Green card holders 389 00:20:20,480 --> 00:20:22,560 Speaker 1: are allowed to be here but generally not allowed to vote. 390 00:20:22,560 --> 00:20:25,199 Speaker 1: So that's a problem right there. But are illegals in 391 00:20:25,240 --> 00:20:29,359 Speaker 1: any way included in this new legislation, So it's effectively 392 00:20:29,359 --> 00:20:34,160 Speaker 1: our deferred action recipients who are legal aliens able to vote. Yeah. Absolutely, 393 00:20:34,840 --> 00:20:37,480 Speaker 1: Democrats saying if you won't vote for us, will import 394 00:20:37,560 --> 00:20:41,520 Speaker 1: people who will. So I mean anything goes. We don't 395 00:20:41,520 --> 00:20:44,720 Speaker 1: even know who signs these ballots anyway, No signatures are authenticated. 396 00:20:46,520 --> 00:20:49,399 Speaker 1: Listens like Tom Brady, you gotta just be grateful for 397 00:20:49,440 --> 00:20:53,280 Speaker 1: all these obstacles. It just makes you play better. Here 398 00:20:53,400 --> 00:20:56,040 Speaker 1: is a CNN Zone Jake Tapper doing one of those 399 00:20:56,040 --> 00:20:58,080 Speaker 1: things where he actually asked some real questions, which he 400 00:20:58,080 --> 00:21:00,239 Speaker 1: does do sometimes, and he does it here with New 401 00:21:00,280 --> 00:21:02,320 Speaker 1: York City Mayor Eric Adams. Wanted to have you respond, 402 00:21:02,840 --> 00:21:05,239 Speaker 1: give us one second play. Doesn't the build just make 403 00:21:05,280 --> 00:21:07,800 Speaker 1: a mockery of the idea of American citizenship though, I mean, 404 00:21:07,800 --> 00:21:10,480 Speaker 1: this is just for local elections, But does that mean, 405 00:21:10,520 --> 00:21:13,040 Speaker 1: like next New York City is going to want non 406 00:21:13,080 --> 00:21:16,240 Speaker 1: citizens to vote in federal elections. I mean, what do 407 00:21:16,280 --> 00:21:18,280 Speaker 1: you say to all the people who went through the process, 408 00:21:18,320 --> 00:21:22,119 Speaker 1: the difficult process of becoming an American citizen, studying for 409 00:21:22,160 --> 00:21:25,040 Speaker 1: the test, swearing an oath of allegiance to the United 410 00:21:25,080 --> 00:21:29,080 Speaker 1: States of America, after hearing their rationale and their theories 411 00:21:29,080 --> 00:21:32,080 Speaker 1: behind it. I thought it was more important to not 412 00:21:32,359 --> 00:21:34,640 Speaker 1: veto to build or get in a way at all, 413 00:21:34,880 --> 00:21:38,560 Speaker 1: and allowed to build and move forward. Did Adams change 414 00:21:38,680 --> 00:21:40,399 Speaker 1: his position because he kind of said that he had 415 00:21:40,440 --> 00:21:44,560 Speaker 1: concerns or whatever? What's the reality here? Mark? The reality 416 00:21:44,640 --> 00:21:47,280 Speaker 1: is he's only been in office about ten days. We 417 00:21:47,320 --> 00:21:49,760 Speaker 1: don't know about him yet. He says all the right things, 418 00:21:49,960 --> 00:21:51,760 Speaker 1: he acts like he's going to do the right thing, 419 00:21:52,280 --> 00:21:55,679 Speaker 1: but we don't know. And he's being very cautious with 420 00:21:55,840 --> 00:21:58,879 Speaker 1: this issue, and with a couple of others, he's tiptoeing 421 00:21:59,000 --> 00:22:01,880 Speaker 1: very lightly. I would rather see a Rudy Giuliani come 422 00:22:01,920 --> 00:22:04,479 Speaker 1: in and just take a stand, But I don't know 423 00:22:04,480 --> 00:22:06,200 Speaker 1: what he'll do in the end. You know the great 424 00:22:06,200 --> 00:22:10,040 Speaker 1: thing about democrats, they always go too far. They always 425 00:22:10,040 --> 00:22:12,359 Speaker 1: push it too far. You know. Now it's the illegals voting. 426 00:22:12,680 --> 00:22:15,560 Speaker 1: Next thing, you know, it would be people under eighteen 427 00:22:16,320 --> 00:22:20,320 Speaker 1: kids voting. They'll just keep going until it blows up 428 00:22:20,320 --> 00:22:23,080 Speaker 1: in their face. Eric Allen's, by the way, it is 429 00:22:23,080 --> 00:22:24,440 Speaker 1: switch gears a little bit, but it's still the mayor 430 00:22:24,480 --> 00:22:26,480 Speaker 1: of New York City here. And I think this is 431 00:22:26,520 --> 00:22:28,640 Speaker 1: always a harbinger of what you'll see with other prominent 432 00:22:28,680 --> 00:22:31,000 Speaker 1: Democrats across the country in this year. How are they 433 00:22:31,040 --> 00:22:34,800 Speaker 1: gonna operate given the new realities of you know, COVID 434 00:22:34,880 --> 00:22:36,760 Speaker 1: and defund the police and what people have seen over 435 00:22:36,760 --> 00:22:40,560 Speaker 1: the last twelve months. But he is in talks supporting 436 00:22:40,640 --> 00:22:43,399 Speaker 1: mandating the JAB for all right now, for children to 437 00:22:43,520 --> 00:22:47,040 Speaker 1: attend school. This contradicts what he said about schools being 438 00:22:47,040 --> 00:22:50,159 Speaker 1: the safest place for kids just last week. Here's what 439 00:22:50,200 --> 00:22:52,840 Speaker 1: he says about mandating for children. Watch this one. COVID 440 00:22:52,960 --> 00:22:56,199 Speaker 1: is a formidable and moving target and we have to 441 00:22:56,280 --> 00:23:00,639 Speaker 1: pivot and shift based on that, and our policy have 442 00:23:00,800 --> 00:23:04,960 Speaker 1: been rooted in I need my children in school. And 443 00:23:05,320 --> 00:23:08,600 Speaker 1: if my medical professionals tell me, Eric, we have to 444 00:23:08,640 --> 00:23:13,000 Speaker 1: do a mandated vaccine, we're going to do that. What 445 00:23:13,080 --> 00:23:14,280 Speaker 1: do you make of this? It's gonna be a problem 446 00:23:14,320 --> 00:23:18,240 Speaker 1: for him to mandate the shot for kids. Absolutely. But 447 00:23:18,640 --> 00:23:20,119 Speaker 1: the good thing about Eric Adams, if you don't like 448 00:23:20,160 --> 00:23:22,080 Speaker 1: what he's saying, just waited there or too. It'll change. 449 00:23:22,160 --> 00:23:28,000 Speaker 1: But you know, here's an important point, Biden Adams. Every 450 00:23:28,040 --> 00:23:31,760 Speaker 1: Democrat demands everybody get vaccinated. To do that, you got 451 00:23:31,760 --> 00:23:33,679 Speaker 1: to go to a location you got to fill out forms, 452 00:23:33,720 --> 00:23:37,080 Speaker 1: you got to show ID. So if everybody in America 453 00:23:37,160 --> 00:23:40,160 Speaker 1: supposedly can do this for the vaccine, why can't they 454 00:23:40,200 --> 00:23:42,040 Speaker 1: do it to vote? This argument is going to come 455 00:23:42,040 --> 00:23:46,240 Speaker 1: back to haunt them. Speaking of arguments coming back to 456 00:23:46,280 --> 00:23:50,359 Speaker 1: haunt somebody, Alvin Braggs hasn't been very long here. He was, 457 00:23:50,680 --> 00:23:53,200 Speaker 1: I think it was day one. The new Alvin bragg 458 00:23:53,240 --> 00:23:56,760 Speaker 1: the new DA in Manhattan. He's had to defend his 459 00:23:57,119 --> 00:24:01,520 Speaker 1: approach of not looking for criminals, sentences for people for 460 00:24:01,560 --> 00:24:03,800 Speaker 1: a whole range including just wait, this one always gets 461 00:24:03,800 --> 00:24:06,399 Speaker 1: everyone's attention. Armed robbery. Well, if you don't actually shoot 462 00:24:06,440 --> 00:24:08,359 Speaker 1: somebody with the gun, we're not going to send you 463 00:24:08,400 --> 00:24:10,240 Speaker 1: to prison in New York, which strikes anyone who knows 464 00:24:10,240 --> 00:24:14,760 Speaker 1: anything as completely insane. The new NYPD commissioner, though, Mark 465 00:24:14,840 --> 00:24:19,040 Speaker 1: as I understand it, is not on board for this. 466 00:24:19,600 --> 00:24:21,360 Speaker 1: What do you make of what we're seeing from this 467 00:24:21,600 --> 00:24:23,560 Speaker 1: DA in New York? Who I mean to call it 468 00:24:23,640 --> 00:24:27,240 Speaker 1: soft on crime seems like an understatement. Now it's pro crime. 469 00:24:27,280 --> 00:24:29,720 Speaker 1: He's an absolute lunatic. And if you read the whole order, 470 00:24:30,280 --> 00:24:33,800 Speaker 1: even burglary, it's not really a crime. I mean, it's 471 00:24:33,840 --> 00:24:36,960 Speaker 1: just a ridiculous list. Everybody is against this guy. I 472 00:24:37,040 --> 00:24:40,800 Speaker 1: looked at the newstand yesterday, the Daily News savaging him 473 00:24:40,840 --> 00:24:42,399 Speaker 1: on the cover, the New York Post, even the New 474 00:24:42,480 --> 00:24:46,600 Speaker 1: York Times, liberal papers, conservative papers. Everybody is against this. 475 00:24:47,040 --> 00:24:49,000 Speaker 1: People are going to die because of People are gonna 476 00:24:49,000 --> 00:24:51,880 Speaker 1: get killed because of it. The answer is the governor 477 00:24:52,200 --> 00:24:54,680 Speaker 1: can remove him as district attorney. It's going to take 478 00:24:54,720 --> 00:25:01,200 Speaker 1: a huge movement of business leaders, political leaders, police together 479 00:25:01,440 --> 00:25:03,800 Speaker 1: to her. It could become a big election issue. I 480 00:25:03,840 --> 00:25:05,560 Speaker 1: think that's what it'll make her do it at some point, 481 00:25:05,760 --> 00:25:07,240 Speaker 1: just to get it off the table, because when she 482 00:25:07,280 --> 00:25:09,280 Speaker 1: wants to run for reelection, she's not going to want 483 00:25:09,359 --> 00:25:12,080 Speaker 1: this issue. He's got to be removed from office. You know, 484 00:25:12,119 --> 00:25:16,639 Speaker 1: you're allowed to this prosecutorial discretion only on a certain case. 485 00:25:17,040 --> 00:25:19,760 Speaker 1: You can't just decide I'm not going to enforce fifteen things, 486 00:25:19,880 --> 00:25:22,439 Speaker 1: or I'm going to change the penal coding. He's not 487 00:25:22,480 --> 00:25:26,040 Speaker 1: a legislator, he's a district attorney. By the way, the 488 00:25:26,200 --> 00:25:30,840 Speaker 1: Manhattan DA spoke about this policy the new Manhattan DA 489 00:25:30,920 --> 00:25:32,920 Speaker 1: and claim that somehow Mark was going to make us safer. 490 00:25:32,960 --> 00:25:35,280 Speaker 1: I wanted to have her react. Watch We've all seen 491 00:25:35,320 --> 00:25:38,600 Speaker 1: the story of the person who's on their eighth arrests 492 00:25:38,640 --> 00:25:40,159 Speaker 1: and people say, well, how did this happened? How that 493 00:25:40,280 --> 00:25:43,280 Speaker 1: assault happened? Well, there were several prior times with that 494 00:25:43,359 --> 00:25:46,479 Speaker 1: person struggling with addiction or mental health. We didn't conject 495 00:25:46,480 --> 00:25:49,560 Speaker 1: that person the services. This is gonna make us safer. 496 00:25:49,800 --> 00:25:53,679 Speaker 1: It's intuitive, it's common sense. I don't understand the pushback. 497 00:25:54,520 --> 00:25:57,800 Speaker 1: This guy's out of his mind. I met the guy. 498 00:25:57,840 --> 00:26:00,320 Speaker 1: He's a nice guy in real life. He's must be 499 00:26:00,359 --> 00:26:02,560 Speaker 1: a smart guy who went to Harvard. I think he 500 00:26:02,640 --> 00:26:05,280 Speaker 1: fell down and hit his head or something. Something happened 501 00:26:05,280 --> 00:26:08,879 Speaker 1: to this guy. He's just delirious. Even if you on paper, 502 00:26:08,920 --> 00:26:12,080 Speaker 1: I thought this experiment can work. It's been tried. Twenty 503 00:26:12,119 --> 00:26:14,480 Speaker 1: five cities have tried it, and people end up dead 504 00:26:14,560 --> 00:26:16,920 Speaker 1: and ends up being in a crime wave. So's it's 505 00:26:16,960 --> 00:26:19,159 Speaker 1: not just four times, it's twenty five times. This is 506 00:26:19,200 --> 00:26:23,080 Speaker 1: a proven failure. There's something wrong with this guy. Mypd's 507 00:26:23,119 --> 00:26:26,120 Speaker 1: new commissioner, Key Chance Sewell, has been really vocal mark 508 00:26:26,640 --> 00:26:29,840 Speaker 1: in response to this new DA soft on crime approach. 509 00:26:30,160 --> 00:26:32,080 Speaker 1: She put out a memo that said the following, this 510 00:26:32,119 --> 00:26:35,320 Speaker 1: is the new commissioner of the NYPD. I'm very concerned 511 00:26:35,320 --> 00:26:37,919 Speaker 1: about the implications to your safety as police officers, the 512 00:26:37,960 --> 00:26:40,600 Speaker 1: safety of the public, in justice for victims. I'm making 513 00:26:40,600 --> 00:26:42,920 Speaker 1: my concerns known to the Manhattan disc Attorney. I hope 514 00:26:42,920 --> 00:26:45,000 Speaker 1: to have frank and productive discussions to try and reach 515 00:26:45,080 --> 00:26:49,200 Speaker 1: more common ground. I just gotta I gotta ask you, Mark. 516 00:26:49,440 --> 00:26:52,080 Speaker 1: I got friends who in response to the DA and 517 00:26:52,200 --> 00:26:53,960 Speaker 1: a little bit of what Adams has done recently. But 518 00:26:54,000 --> 00:26:56,200 Speaker 1: there texts me saying I think New York has done 519 00:26:56,200 --> 00:26:58,440 Speaker 1: I'm out of here? Are you? Are you still holding 520 00:26:58,480 --> 00:27:00,000 Speaker 1: not hope that Adams is going to pull it together 521 00:27:00,080 --> 00:27:01,680 Speaker 1: or a not be He doesn't have to be great, 522 00:27:01,720 --> 00:27:03,760 Speaker 1: he just asked, he just has to be not a disaster. 523 00:27:03,880 --> 00:27:07,640 Speaker 1: Can he do it? There's already a grosshell against this DA. 524 00:27:07,680 --> 00:27:09,800 Speaker 1: If we get rid of him, Adams put in a 525 00:27:09,800 --> 00:27:12,400 Speaker 1: couple of good He's got a deputy commissioner from the NYPD, 526 00:27:12,480 --> 00:27:14,840 Speaker 1: Philip Banks suit He's really going to be the commissioner, 527 00:27:14,840 --> 00:27:19,280 Speaker 1: and people love him. Police guys love him. But if 528 00:27:19,320 --> 00:27:20,919 Speaker 1: we get rid of all that, I think I know 529 00:27:21,160 --> 00:27:24,200 Speaker 1: this DA may even back down. You know, turnstile jumping 530 00:27:24,200 --> 00:27:26,960 Speaker 1: no longer a crime that basically makes the subway system free. 531 00:27:27,000 --> 00:27:30,159 Speaker 1: Now resisting arrest no longer a crime. It's not just 532 00:27:30,200 --> 00:27:32,440 Speaker 1: a guy shoving away from the cop. You're gonna have 533 00:27:32,480 --> 00:27:34,680 Speaker 1: a guy tearing down the street or tearing away in 534 00:27:34,720 --> 00:27:37,080 Speaker 1: a car. That everybody's going to be in dangerous So 535 00:27:37,600 --> 00:27:40,639 Speaker 1: I think everybody will just get Braggs stopped and deaden 536 00:27:40,680 --> 00:27:44,479 Speaker 1: his tracks somehow. Mark, thanks for the sanity in an 537 00:27:44,480 --> 00:27:50,880 Speaker 1: insane world. Appreciate it. Thanks. A pair of transgender athletes 538 00:27:50,920 --> 00:27:53,399 Speaker 1: take top spots in an IVY League swim meet this weekend. 539 00:27:53,400 --> 00:27:55,280 Speaker 1: We got more on that with First TV contributor T 540 00:27:55,440 --> 00:28:05,000 Speaker 1: and a Low when we return the record shattering University 541 00:28:05,000 --> 00:28:10,040 Speaker 1: of Pennsylvania's transgender swimmer Leah Thomas was defeated by another 542 00:28:10,119 --> 00:28:14,160 Speaker 1: transgender swimmer and an IVY League swim meet Saturday, Yale 543 00:28:14,200 --> 00:28:18,800 Speaker 1: University student Eatzac Hennig defeated Thomas in both the women's 544 00:28:18,800 --> 00:28:23,720 Speaker 1: one hundred and four hundred yard freestyle races. According to reports, Hennig, 545 00:28:23,760 --> 00:28:27,840 Speaker 1: who is transitioning from female to mail, set a record 546 00:28:27,880 --> 00:28:32,320 Speaker 1: for the women's fifty yard freestyle. Daily Mail also reported 547 00:28:32,400 --> 00:28:37,000 Speaker 1: that Hennig, who had breasts removed, won the fifty yard 548 00:28:37,040 --> 00:28:40,600 Speaker 1: freestyle and proceeded to pull down the top of the 549 00:28:40,840 --> 00:28:45,560 Speaker 1: swimsuit in celebration early unusual way to commemory to collegiate win. 550 00:28:46,160 --> 00:28:48,800 Speaker 1: Maybe not to discuss is Tina Lowe, commentary writer for 551 00:28:48,800 --> 00:28:54,240 Speaker 1: The Washington Examiner and contributor here at the first TV. Tiana, 552 00:28:54,600 --> 00:28:58,920 Speaker 1: what exactly happened here? What was this? Explain? Yeah? So 553 00:28:59,160 --> 00:29:01,680 Speaker 1: it is very confusingly to those of us who didn't 554 00:29:01,680 --> 00:29:04,320 Speaker 1: grow up taking gender studies. One on one from kindergarten, 555 00:29:04,720 --> 00:29:11,000 Speaker 1: the transgender man competing in the woman's race beat the 556 00:29:11,160 --> 00:29:16,880 Speaker 1: transgender woman who was born a man. So it's confusing 557 00:29:17,040 --> 00:29:21,000 Speaker 1: because clearly the NCUBLEA doesn't have any rules about actual 558 00:29:21,160 --> 00:29:25,440 Speaker 1: gender identity. The only provision that was put on Leah Thomas, 559 00:29:26,400 --> 00:29:29,840 Speaker 1: the Penn swimmer that has gained more notoriety is that 560 00:29:29,880 --> 00:29:35,640 Speaker 1: shit to be on testosterone suppressors for one year, which, 561 00:29:35,680 --> 00:29:40,040 Speaker 1: as you know, doesn't dilute the impact of male puberty, 562 00:29:40,480 --> 00:29:43,560 Speaker 1: the inherent strength, and also not even just the inherent strength, 563 00:29:43,720 --> 00:29:47,680 Speaker 1: but the aerodynamic advantage that men have. Men don't have hips, 564 00:29:48,240 --> 00:29:52,440 Speaker 1: men don't have breasts, and apparently the Yale swimmer also 565 00:29:52,520 --> 00:29:55,720 Speaker 1: doesn't have breasts. So we're talking about two female swimmer swimmers, 566 00:29:55,840 --> 00:29:58,640 Speaker 1: none of which are for lack of a better term, 567 00:29:58,760 --> 00:30:02,360 Speaker 1: encumbered by the reality of swimming with breasts. And this 568 00:30:02,440 --> 00:30:06,160 Speaker 1: isn't necessarily a very comfortable stuff to talk about, but 569 00:30:06,200 --> 00:30:08,440 Speaker 1: it's a real thing when we're discussing the purpose of 570 00:30:08,480 --> 00:30:13,080 Speaker 1: women's athletics in schools, which is to be equal in 571 00:30:13,200 --> 00:30:17,160 Speaker 1: terms of funding and fairness to men's sports. So if 572 00:30:17,200 --> 00:30:20,680 Speaker 1: you can give yourself a biological advantage by either transitioning 573 00:30:20,720 --> 00:30:23,360 Speaker 1: in one direction or in the other because of the 574 00:30:23,360 --> 00:30:26,800 Speaker 1: surgical results of moving that which inhibits the ability to 575 00:30:26,840 --> 00:30:29,800 Speaker 1: swim as fact as a man, then we're denying those 576 00:30:29,800 --> 00:30:36,240 Speaker 1: scholarships to born and bred sis women. So oddly enough, 577 00:30:36,320 --> 00:30:40,120 Speaker 1: as has been true throughout this entire saga, the once 578 00:30:40,240 --> 00:30:42,440 Speaker 1: loud feminists finally found an issue they want to shut 579 00:30:42,520 --> 00:30:47,600 Speaker 1: up about. Wow, sounded like Jesse Kelly. There, we've got 580 00:30:48,360 --> 00:30:54,640 Speaker 1: a Hennig column here. It's like heading is the biological female. 581 00:30:54,640 --> 00:30:57,240 Speaker 1: I'm just trying to keep all this straight. Biological female 582 00:30:57,280 --> 00:30:59,640 Speaker 1: that is transitioned to mail that had breasts removed. Here 583 00:30:59,640 --> 00:31:02,040 Speaker 1: you go, a student athlete. This is what Hennig wrote. 584 00:31:02,320 --> 00:31:03,920 Speaker 1: Coming out as a trans guy put me in a 585 00:31:03,960 --> 00:31:06,800 Speaker 1: weird position. I value my contributions to the team and 586 00:31:06,840 --> 00:31:09,200 Speaker 1: recognize that my boyhood doesn't hinge on whether there's more 587 00:31:09,280 --> 00:31:12,000 Speaker 1: or less testosterone running through my veins. At least that's 588 00:31:12,000 --> 00:31:13,400 Speaker 1: what I'll try to remember when I put on the 589 00:31:13,440 --> 00:31:16,440 Speaker 1: women's swimsuit for the competition, and I'm reminded of itself. 590 00:31:16,520 --> 00:31:21,520 Speaker 1: I no longer feel attached to. A stunned parent who 591 00:31:21,600 --> 00:31:24,280 Speaker 1: was in attendance at the Yale Upen Ivy League swim 592 00:31:24,280 --> 00:31:27,400 Speaker 1: meet told the Daily Mail quote, I wasn't prepared for that. 593 00:31:27,800 --> 00:31:30,440 Speaker 1: Everything is messed up. I can't wrap my head around this. 594 00:31:30,440 --> 00:31:34,360 Speaker 1: The NCAA needs to do something. So wait, so did 595 00:31:34,880 --> 00:31:39,600 Speaker 1: the female, then, transitioning to Mail, was able to beat 596 00:31:39,960 --> 00:31:42,440 Speaker 1: a lot of guys at the meet. Is that what 597 00:31:42,560 --> 00:31:47,960 Speaker 1: I'm seeing here? Because that is surprising. So remember Leah 598 00:31:48,000 --> 00:31:53,360 Speaker 1: Thomas was very close to breaking Missy Franklin's record in 599 00:31:53,400 --> 00:31:56,040 Speaker 1: one of these races. So the fact that she was 600 00:31:56,120 --> 00:32:00,400 Speaker 1: beat by anyone, I mean, again, I am not a biologists, 601 00:32:00,440 --> 00:32:02,680 Speaker 1: I am not a doctor, but it doesn't seem like 602 00:32:02,720 --> 00:32:05,320 Speaker 1: it would be a coincidence that it would be a 603 00:32:05,360 --> 00:32:09,440 Speaker 1: woman who is again removed subcutaneous fat that we know 604 00:32:09,960 --> 00:32:12,840 Speaker 1: impacts your ability to swim more quickly. You have less 605 00:32:12,840 --> 00:32:17,520 Speaker 1: circumference in one direction. There are aerodynamic and buoyancy issues 606 00:32:17,560 --> 00:32:22,400 Speaker 1: at play here, yes, exactly exactly. So it's it's surprising 607 00:32:22,440 --> 00:32:26,080 Speaker 1: obviously that Leah Thomas could lose to anyone, but it's 608 00:32:26,200 --> 00:32:30,040 Speaker 1: not that surprising who she lost to and in what form. 609 00:32:30,680 --> 00:32:33,360 Speaker 1: But that being said, you know, Leah Thomas has still 610 00:32:33,600 --> 00:32:36,600 Speaker 1: been smashing records left and right. It's possible, you know 611 00:32:36,880 --> 00:32:41,240 Speaker 1: that that the goats of female swimming, like Katie Lendecki, 612 00:32:41,320 --> 00:32:43,960 Speaker 1: like Missive Franklin, that their records are being very or 613 00:32:44,160 --> 00:32:48,080 Speaker 1: very close to being broken, specifically by Leah Thomas. And again, 614 00:32:48,160 --> 00:32:50,800 Speaker 1: I fully believe that she's not been fooling around on 615 00:32:50,840 --> 00:32:53,840 Speaker 1: you know, taking feminizing hormones. But that still doesn't impact 616 00:32:53,840 --> 00:32:57,080 Speaker 1: the fact that during puberty, when you're twelve, women just 617 00:32:57,200 --> 00:33:00,800 Speaker 1: get wider pelvis is to enable the future Jel childbirth 618 00:33:01,120 --> 00:33:04,600 Speaker 1: men and Joel men have still have much more bone 619 00:33:04,640 --> 00:33:09,240 Speaker 1: density than women. You are inherently stronger, even if you 620 00:33:09,320 --> 00:33:12,640 Speaker 1: don't later on get the extra bolster of TOTS. Starts 621 00:33:12,640 --> 00:33:16,960 Speaker 1: with the muscles. That skeletal development is already completed, by 622 00:33:16,960 --> 00:33:20,880 Speaker 1: the way in late December and Oakland, California Engineering manager 623 00:33:20,960 --> 00:33:24,760 Speaker 1: switching gears here, but still in the transgender topic named 624 00:33:24,800 --> 00:33:29,680 Speaker 1: Amy Schneider became the quote winningest woman in Jeopardy history. 625 00:33:30,560 --> 00:33:32,240 Speaker 1: They said that this is the first woman in the 626 00:33:32,280 --> 00:33:35,520 Speaker 1: history of the game to surpass one million dollars in 627 00:33:35,520 --> 00:33:39,200 Speaker 1: winnings during regular season play. The corporate media, of course, 628 00:33:39,200 --> 00:33:41,760 Speaker 1: praising Amy Schneider as a woman for her victory. Here 629 00:33:41,760 --> 00:33:44,520 Speaker 1: are some of the headlines CNBC, Amy Schneider's the first 630 00:33:44,520 --> 00:33:47,480 Speaker 1: women to win a million dollars on Jeopardy. New York 631 00:33:47,480 --> 00:33:50,800 Speaker 1: Times Schneider surpasses one million of Jeopardy, et cetera, et cetera. 632 00:33:52,160 --> 00:33:58,200 Speaker 1: Amy Schneider is a biological male. Well, the biological melt 633 00:33:58,320 --> 00:34:01,320 Speaker 1: men are just beating us at everything, aren't they. And 634 00:34:01,440 --> 00:34:03,880 Speaker 1: notice that none of these headlines are carving out, you know, 635 00:34:04,160 --> 00:34:06,760 Speaker 1: the first trans women, which I don't think you know 636 00:34:07,560 --> 00:34:11,520 Speaker 1: is extremely objectionable. No, but women are literally going to 637 00:34:11,520 --> 00:34:13,840 Speaker 1: be replaced from the record books. I mean, Jeopardy is 638 00:34:13,880 --> 00:34:16,680 Speaker 1: something that's that's professionally scored by the Guinness Book of 639 00:34:16,719 --> 00:34:20,600 Speaker 1: World Records. This isn't exactly an arbitrary record here. You know, 640 00:34:20,600 --> 00:34:22,520 Speaker 1: it's a show that's more than fifty years old, and 641 00:34:22,520 --> 00:34:25,960 Speaker 1: it's ingrained in our cultural consciousness. Again, not as important 642 00:34:25,960 --> 00:34:30,080 Speaker 1: as something that is legally protected by the Equal Rights 643 00:34:30,080 --> 00:34:33,520 Speaker 1: Amendment to ensure fairness for men and women for scholarship 644 00:34:33,520 --> 00:34:36,800 Speaker 1: opportunities and academics, but still a sign of how quickly 645 00:34:37,280 --> 00:34:40,880 Speaker 1: the corporate media is willing to embrace, you know, rewriting 646 00:34:40,880 --> 00:34:44,040 Speaker 1: definitions again. Five years ago, woke media would have labeled 647 00:34:44,040 --> 00:34:47,600 Speaker 1: her the first transgender woman to win. And now what 648 00:34:47,760 --> 00:34:50,640 Speaker 1: do feminists have to grapple with. Are they going to 649 00:34:50,680 --> 00:34:55,120 Speaker 1: accept this spring and then entertain some sort of notion 650 00:34:55,200 --> 00:35:00,279 Speaker 1: that men, that biological men are inherently more able than women, 651 00:35:00,440 --> 00:35:03,040 Speaker 1: or are they going to reclaim what the feminine identity is? 652 00:35:04,480 --> 00:35:06,279 Speaker 1: I'm just wondering. I mean, I look at this, I 653 00:35:06,320 --> 00:35:08,320 Speaker 1: wonder do you think that the only way this maybe 654 00:35:08,360 --> 00:35:13,840 Speaker 1: stops is if people, if biological males start applying for 655 00:35:14,280 --> 00:35:16,600 Speaker 1: claim to be transgender, saying their senior year of high 656 00:35:16,600 --> 00:35:18,359 Speaker 1: school and say they want to be on the they 657 00:35:18,360 --> 00:35:21,440 Speaker 1: want to be recruited for like Harvard Women's lacrosse, and 658 00:35:21,480 --> 00:35:24,040 Speaker 1: they want scholarships at schools that can give them for athletics. 659 00:35:24,040 --> 00:35:26,600 Speaker 1: Ivy League schools can But do you think the only 660 00:35:26,680 --> 00:35:28,200 Speaker 1: way to do this is to actually just bring the 661 00:35:28,200 --> 00:35:31,000 Speaker 1: system down from within, because I wonder what level of 662 00:35:31,080 --> 00:35:35,040 Speaker 1: lunacy is the left willing to embrace on this. Oh absolutely, 663 00:35:35,280 --> 00:35:37,560 Speaker 1: as college. I think it's going to happen at the 664 00:35:37,600 --> 00:35:41,880 Speaker 1: elite university level. And here's why. As elite universities get 665 00:35:41,960 --> 00:35:46,080 Speaker 1: rid of the purely meritocratic measures of achievement, things like 666 00:35:46,280 --> 00:35:50,520 Speaker 1: the SAT, things like your GPA, things like subject exams, 667 00:35:50,840 --> 00:35:55,920 Speaker 1: and they're slowly replaced with markers of elite privilege, things 668 00:35:55,960 --> 00:35:58,880 Speaker 1: like could your parents get you, you know, an internship 669 00:35:58,960 --> 00:36:01,520 Speaker 1: at the un Could your parents help you set up 670 00:36:01,520 --> 00:36:03,600 Speaker 1: your own five oh one C three for climate change 671 00:36:03,680 --> 00:36:05,640 Speaker 1: or whatever. And I went to one of those schools 672 00:36:05,640 --> 00:36:08,520 Speaker 1: where that was common, but we still had the SAT 673 00:36:09,200 --> 00:36:11,880 Speaker 1: as a buffer to make sure. I went to school, 674 00:36:11,880 --> 00:36:13,640 Speaker 1: a private school with a lot of rich white kids 675 00:36:13,800 --> 00:36:15,960 Speaker 1: and a lot of scholarship Latino kids, and all those 676 00:36:15,960 --> 00:36:18,879 Speaker 1: scholarship Latino kids were able to compete with the rich 677 00:36:18,920 --> 00:36:21,800 Speaker 1: white kids and admissions because they had the objective measures 678 00:36:21,840 --> 00:36:24,680 Speaker 1: of merit. But as soon as you know, we start 679 00:36:24,719 --> 00:36:28,279 Speaker 1: replacing the idea of privilege being a race thing or 680 00:36:28,320 --> 00:36:31,279 Speaker 1: a class thing, and now we're inserting this sort of 681 00:36:32,480 --> 00:36:34,719 Speaker 1: chosen metric. And I'm not saying that all people who 682 00:36:34,800 --> 00:36:38,560 Speaker 1: identifies LGBT, you're CUsing or choosing to do so. But yeah, 683 00:36:38,640 --> 00:36:41,960 Speaker 1: if you're a rich, straight white man, the easiest way 684 00:36:42,000 --> 00:36:43,600 Speaker 1: to gain in the system in a second is claim 685 00:36:43,640 --> 00:36:45,719 Speaker 1: that you're a woman. Immediately you jump to the front 686 00:36:45,760 --> 00:36:49,240 Speaker 1: of the oppression Olympics, more so than any poor working 687 00:36:49,280 --> 00:36:51,880 Speaker 1: class kid of color. Right, So of course it's going 688 00:36:51,960 --> 00:36:54,600 Speaker 1: to start being gamed. And that is especially as the 689 00:36:54,800 --> 00:36:58,920 Speaker 1: student loan cartel continues to squeeze the value up to 690 00:36:58,960 --> 00:37:01,120 Speaker 1: the very top. We'll have to get to that one 691 00:37:01,120 --> 00:37:05,359 Speaker 1: another time, Tina, always insightful. Good to see it. Thanks back, 692 00:37:07,120 --> 00:37:10,239 Speaker 1: all right, coming up, the Los Angeles Police Department is 693 00:37:10,360 --> 00:37:13,040 Speaker 1: celebrating some heroes today after Isn't Nice, We have a 694 00:37:13,080 --> 00:37:16,719 Speaker 1: good story heroes LAPD rescuing a man from an oncoming train. 695 00:37:16,840 --> 00:37:24,280 Speaker 1: The visual is amazing. The video. After touring wildfire damage 696 00:37:24,280 --> 00:37:27,880 Speaker 1: in Colorado, bumbling Biden goes off on his windmill solution 697 00:37:28,239 --> 00:37:30,840 Speaker 1: and the view Sonny Houston says, even though Justice Sodomyer 698 00:37:30,960 --> 00:37:33,840 Speaker 1: was wrong on the facts, she was somehow right on 699 00:37:33,880 --> 00:37:36,080 Speaker 1: the facts. You know whatever. Let's dive into what she 700 00:37:36,160 --> 00:37:39,279 Speaker 1: meant in quickness. Let's get it right to it. This 701 00:37:39,320 --> 00:37:43,719 Speaker 1: is amazing. Soda Mayor sounded like an ill informed and 702 00:37:43,840 --> 00:37:47,360 Speaker 1: kind of dumb person during the Supreme Courts oral arguments 703 00:37:47,440 --> 00:37:51,680 Speaker 1: last week on the biden Osha mandate for vaccines. She 704 00:37:51,840 --> 00:37:55,680 Speaker 1: just said things that you would think nobody would say 705 00:37:55,719 --> 00:37:58,280 Speaker 1: if they were acquainted with some of the most basic 706 00:37:58,360 --> 00:38:03,800 Speaker 1: facts about COVID. Here is the views, Sonny Houston, because 707 00:38:03,800 --> 00:38:06,640 Speaker 1: of course democrat has to love the I mean, just 708 00:38:06,680 --> 00:38:10,120 Speaker 1: to be clear, Sonya Sotomayor is an activist on the 709 00:38:10,120 --> 00:38:12,480 Speaker 1: Supreme Court. I mean she is. She's like the huff 710 00:38:12,520 --> 00:38:15,920 Speaker 1: Posts comments section or you know, the uh, what's that 711 00:38:16,040 --> 00:38:21,120 Speaker 1: site with what's the site with as recline Vox. The 712 00:38:21,239 --> 00:38:25,440 Speaker 1: Vox comments section made real into a person who then 713 00:38:25,680 --> 00:38:28,839 Speaker 1: dispenses policy from the Supreme Court. Anyway, here's the view, 714 00:38:28,880 --> 00:38:31,719 Speaker 1: Sonny Hasten, trying to clean up the mess. Watch well, first, 715 00:38:31,760 --> 00:38:33,439 Speaker 1: I just want to reframe this a little bit about 716 00:38:33,480 --> 00:38:37,440 Speaker 1: Justice Sotomayor, because, um, while you know she may not 717 00:38:37,560 --> 00:38:42,240 Speaker 1: be accurate for current hospitalizations in children, she is correct 718 00:38:42,560 --> 00:38:45,960 Speaker 1: that we have more children in the hospital now, more 719 00:38:46,000 --> 00:38:50,360 Speaker 1: than ever before, and it certainly reflects the current cases 720 00:38:50,400 --> 00:38:52,920 Speaker 1: in children right now. We have eighty two eight hundred 721 00:38:52,960 --> 00:38:57,080 Speaker 1: and forty three children are sick with with COVID. More 722 00:38:57,080 --> 00:39:00,279 Speaker 1: than a thousand children have died from the virus um 723 00:39:00,320 --> 00:39:03,520 Speaker 1: and in addition, about seven point eight million children have 724 00:39:03,680 --> 00:39:07,920 Speaker 1: caught COVID since the pandemic started. And so so that 725 00:39:07,920 --> 00:39:13,279 Speaker 1: that those are just just the number. M M. Yeah, 726 00:39:13,360 --> 00:39:15,319 Speaker 1: you know, just just let's kind of find some way. 727 00:39:15,360 --> 00:39:17,759 Speaker 1: It doesn't sound like it's on or doesn't know what 728 00:39:17,760 --> 00:39:19,080 Speaker 1: the heck she's talking about. Let's just you know, a 729 00:39:19,120 --> 00:39:23,640 Speaker 1: bunch of numbers, blah blah, Yeah right, sure, nice try Biden. 730 00:39:23,719 --> 00:39:26,359 Speaker 1: This was bizarre. After touring the wildlife damage i'm sorry, 731 00:39:26,360 --> 00:39:30,040 Speaker 1: wildfire damage in Colorado that destroyed over a thousand homes, 732 00:39:30,480 --> 00:39:35,560 Speaker 1: here is mister Magoo as commander in chief showing up 733 00:39:35,560 --> 00:39:40,359 Speaker 1: to just say the kind of weird stuff that he says. Yeah, 734 00:39:40,440 --> 00:39:42,920 Speaker 1: we're gonna have windmills. You can. You're gonna see that 735 00:39:43,040 --> 00:39:50,080 Speaker 1: have one hundred yard wingspans each, each propeller on that 736 00:39:50,320 --> 00:39:55,279 Speaker 1: on that um windmill one hundred yards long. So there's 737 00:39:55,320 --> 00:39:58,680 Speaker 1: so much that is going to be able to be done. 738 00:39:59,400 --> 00:40:03,640 Speaker 1: And you know, when I visit the National Reviewable Lab 739 00:40:04,000 --> 00:40:09,120 Speaker 1: Renewable Lab Energy Lab, about twenty miles I said from here, 740 00:40:09,239 --> 00:40:13,000 Speaker 1: it's it's also going to create significant number of jobs. 741 00:40:13,480 --> 00:40:19,360 Speaker 1: The reason I'm telling you this what people have lost 742 00:40:19,360 --> 00:40:24,479 Speaker 1: their houses wildfire. And he's mumbling about one hundred yard 743 00:40:24,600 --> 00:40:32,319 Speaker 1: long windmill things. What this guy's the president. It's it's 744 00:40:32,360 --> 00:40:36,080 Speaker 1: beyond embarrassing. It's it's almost like, how is this even possible? 745 00:40:37,040 --> 00:40:39,960 Speaker 1: I mean, you really think that he should be outside 746 00:40:40,000 --> 00:40:41,960 Speaker 1: of some kind of a facility with a blanket over 747 00:40:42,000 --> 00:40:44,560 Speaker 1: his knees, you know, giving peanuts to squirrels and having 748 00:40:44,560 --> 00:40:46,439 Speaker 1: the family come and visit him, and like that's really 749 00:40:46,440 --> 00:40:50,400 Speaker 1: what he should be up to. But instead he is 750 00:40:50,440 --> 00:40:55,960 Speaker 1: the commander in chief of the United States military. President. Anyway, 751 00:40:56,239 --> 00:40:59,160 Speaker 1: here's a boy who hugs his grandparents through a sheet 752 00:40:59,200 --> 00:41:02,000 Speaker 1: of plastic while no one around them, of course, is 753 00:41:02,000 --> 00:41:17,120 Speaker 1: wearing a mask. Watch this. It's really sad the lunacy 754 00:41:17,400 --> 00:41:19,759 Speaker 1: that has infected this country. And I really I do 755 00:41:19,880 --> 00:41:23,520 Speaker 1: blame the Democrat aligned corporate media. Their hatred of Trump 756 00:41:23,560 --> 00:41:27,719 Speaker 1: blinded them to all reasonableness, all reality. At certainly in 757 00:41:27,760 --> 00:41:30,799 Speaker 1: twenty twenty and then beyond it just turned into being 758 00:41:30,880 --> 00:41:34,920 Speaker 1: cheerleaders for Biden. It's appalling. Anthony Fauci is a blight 759 00:41:35,120 --> 00:41:37,600 Speaker 1: on this country when it comes to dealing with COVID, 760 00:41:37,640 --> 00:41:40,680 Speaker 1: he has been an absolute disaster and all the people 761 00:41:40,719 --> 00:41:43,560 Speaker 1: around him and giving voice to his ideas and supporting 762 00:41:43,560 --> 00:41:46,319 Speaker 1: all this bull crap should be ashamed of themselves. That 763 00:41:46,440 --> 00:41:48,520 Speaker 1: all said, let's take a moment to see some heroes 764 00:41:48,520 --> 00:41:51,360 Speaker 1: in action of the LAPD saving the life of a 765 00:41:51,400 --> 00:41:53,640 Speaker 1: pilot who made an emergency landing on the railroad tracks 766 00:41:53,640 --> 00:41:56,960 Speaker 1: at San Fernando Road and Osbourne Street in LA right 767 00:41:56,960 --> 00:41:59,960 Speaker 1: before an oncoming train collided with the aircraft. Check this out, 768 00:42:00,239 --> 00:42:23,440 Speaker 1: h O astonishing, everybody was okay at the ending. That's everything. 769 00:42:23,520 --> 00:42:25,080 Speaker 1: Nights Hold the Line, the No Spin News and Bill 770 00:42:25,080 --> 00:42:42,040 Speaker 1: O'Riley is next. Hills High