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 --> 00:00:06,920 Speaker 1: Sexton Show podcast. I think that it's important to step 3 00:00:06,920 --> 00:00:09,320 Speaker 1: back and remember, just to put a little more of 4 00:00:09,360 --> 00:00:11,600 Speaker 1: a fine point on it, that we're losing an American 5 00:00:11,680 --> 00:00:14,640 Speaker 1: life every five minutes to overdose. We don't have time 6 00:00:14,640 --> 00:00:18,280 Speaker 1: for political games. The presidents focused on saving lives through 7 00:00:18,280 --> 00:00:21,200 Speaker 1: harm reduction programs. That's exactly what we're talking about here. 8 00:00:21,440 --> 00:00:23,720 Speaker 1: They work in red states and they work in blue states. 9 00:00:23,720 --> 00:00:25,799 Speaker 1: We know they saved lives. They help connect people to 10 00:00:25,840 --> 00:00:28,440 Speaker 1: treatment and recovery, and they were endorsed this week by 11 00:00:28,440 --> 00:00:31,800 Speaker 1: a bipartist in commission co chaired by Senator Tom Cotton 12 00:00:32,000 --> 00:00:35,080 Speaker 1: that examined steps we must take to address the devastating 13 00:00:35,120 --> 00:00:38,320 Speaker 1: toll of overdoses. So what I would say is, this 14 00:00:38,400 --> 00:00:40,600 Speaker 1: is not a game. This is not a political game. 15 00:00:40,840 --> 00:00:43,760 Speaker 1: This is an epidemic that is taking the life of 16 00:00:45,280 --> 00:00:47,959 Speaker 1: an American every five minutes, and we need to work 17 00:00:48,000 --> 00:00:50,479 Speaker 1: in a bipartisan way to address it. You want to 18 00:00:50,520 --> 00:00:54,320 Speaker 1: address opioid overdoses in this country, one of the biggest 19 00:00:54,360 --> 00:00:59,000 Speaker 1: ways to do harm reduction would be securing our southern 20 00:00:59,320 --> 00:01:02,680 Speaker 1: border to the greatest extent possible. Welcome back to Clay 21 00:01:02,720 --> 00:01:06,360 Speaker 1: and Buck. The White House now drilling down on the 22 00:01:06,440 --> 00:01:12,880 Speaker 1: issue of opioid overdoses. Two out of three overdose deaths 23 00:01:13,720 --> 00:01:19,760 Speaker 1: last year were from opioids. Over one hundred thousand Americans died. Now, 24 00:01:19,800 --> 00:01:23,360 Speaker 1: there's been a commission, the US Commission on Combating Synthetic 25 00:01:23,400 --> 00:01:28,039 Speaker 1: Opioid Trafficking, just published a report yesterday that you had 26 00:01:28,600 --> 00:01:33,840 Speaker 1: a million people, a million Americans died from opioid overdose 27 00:01:34,120 --> 00:01:38,080 Speaker 1: from nineteen ninety nine to present. And the numbers keep 28 00:01:38,160 --> 00:01:41,200 Speaker 1: going up year over year in recent years, such that 29 00:01:41,240 --> 00:01:46,560 Speaker 1: we actually have reductions in average American life expectancy for 30 00:01:46,800 --> 00:01:49,840 Speaker 1: people in the mid range of life let's say twenty 31 00:01:49,840 --> 00:01:53,480 Speaker 1: five to fifty or so because of the massive and 32 00:01:53,680 --> 00:01:57,360 Speaker 1: below twenty eighteen to fifty because of the massive increases 33 00:01:57,680 --> 00:01:59,760 Speaker 1: in the amount of people who are dying from this. Now, 34 00:01:59,760 --> 00:02:04,960 Speaker 1: this is She's correct on some points, an absolutely essential cause, Clay. 35 00:02:05,000 --> 00:02:09,760 Speaker 1: I mean, to stop the scourge of opioid overdoses in 36 00:02:09,760 --> 00:02:12,919 Speaker 1: this country is a national This is a true emergency. 37 00:02:13,280 --> 00:02:15,880 Speaker 1: This isn't climate change. Oh, in fifty years or one 38 00:02:15,919 --> 00:02:18,080 Speaker 1: hundred years we think of This is right now. This 39 00:02:18,160 --> 00:02:20,760 Speaker 1: is people listening to this who have lost loved ones, 40 00:02:20,840 --> 00:02:25,679 Speaker 1: have lost family members, friends, colleagues, you know, coaches, teammates, 41 00:02:25,680 --> 00:02:28,359 Speaker 1: you name it to drug overdoses. Two out of three 42 00:02:28,400 --> 00:02:32,120 Speaker 1: of these overdoses or opioids. And here's the part of it, though, 43 00:02:32,120 --> 00:02:34,919 Speaker 1: that they are not going to focus it on. This 44 00:02:35,000 --> 00:02:38,880 Speaker 1: is coming across our border from Mexican drug cartels. The 45 00:02:38,960 --> 00:02:44,160 Speaker 1: Mexican drug cartels use the human trafficking flow to bog 46 00:02:44,280 --> 00:02:48,160 Speaker 1: down border patrol members so that they are processing, bringing 47 00:02:48,200 --> 00:02:51,600 Speaker 1: sandwiches and water and doing you know, COVID testing or 48 00:02:51,680 --> 00:02:53,880 Speaker 1: not doing COVID testing as the case may be. They're 49 00:02:54,000 --> 00:02:58,960 Speaker 1: they're bringing people, they're bringing people resources, and that means 50 00:02:58,960 --> 00:03:00,760 Speaker 1: that the border is then why i'd open and the 51 00:03:00,800 --> 00:03:02,880 Speaker 1: card tiles. I've seen this in real time. Then then 52 00:03:02,880 --> 00:03:05,800 Speaker 1: they'll just run a pickup truck where they'll run people 53 00:03:05,880 --> 00:03:07,880 Speaker 1: on foot where they know there's not going to be 54 00:03:07,880 --> 00:03:10,799 Speaker 1: any coverage because there's such a human a huge human 55 00:03:10,840 --> 00:03:14,280 Speaker 1: trafficking flow. And then there's also the China component of this, 56 00:03:14,320 --> 00:03:17,040 Speaker 1: which I'll get into it in a moment. But Clay, 57 00:03:17,200 --> 00:03:19,920 Speaker 1: if they're going to be serious about dealing with the 58 00:03:20,040 --> 00:03:23,960 Speaker 1: drug overdose scourage in this country, they have to look 59 00:03:24,000 --> 00:03:27,440 Speaker 1: at the poorous border and make changes, and they won't. 60 00:03:27,680 --> 00:03:30,800 Speaker 1: So they're identifying a problem. But once again the Democrats 61 00:03:31,040 --> 00:03:35,280 Speaker 1: aren't serious about the solution. Giving out crack pipes is 62 00:03:35,280 --> 00:03:39,200 Speaker 1: not going to do it well. It's unfortunate, there's no doubt. 63 00:03:39,240 --> 00:03:41,720 Speaker 1: And also I think this is directly connected not only 64 00:03:41,720 --> 00:03:44,400 Speaker 1: with the border but with the shutdown and lockdown policy, 65 00:03:44,680 --> 00:03:47,960 Speaker 1: because there's no surprise that the overall number of opioid 66 00:03:48,000 --> 00:03:53,040 Speaker 1: debts skyrocketed when suddenly you weren't allowing people to be 67 00:03:53,160 --> 00:03:57,920 Speaker 1: surrounded by their support structures, whether it's going to addict meetings, 68 00:03:57,960 --> 00:04:00,760 Speaker 1: whether it's going to church, whether it's being able to 69 00:04:00,800 --> 00:04:02,920 Speaker 1: interact with their friends and family. And this is an 70 00:04:02,920 --> 00:04:05,960 Speaker 1: important detail. As we have set a high, I mean, 71 00:04:05,960 --> 00:04:10,520 Speaker 1: that's a crazy, unbelievable, awful number buck a million people 72 00:04:10,520 --> 00:04:13,880 Speaker 1: since nineteen ninety nine, we also have to think about 73 00:04:14,000 --> 00:04:17,000 Speaker 1: years of life that are lost, and this is something 74 00:04:17,000 --> 00:04:20,599 Speaker 1: that I've continued to hammer throughout the course of all 75 00:04:20,680 --> 00:04:25,040 Speaker 1: of this COVID madness. The average person who is dying 76 00:04:25,080 --> 00:04:29,720 Speaker 1: of COVID or with COVID more accurately, is typically older 77 00:04:30,320 --> 00:04:32,800 Speaker 1: than the average age of death in the United States. 78 00:04:33,080 --> 00:04:36,400 Speaker 1: That is, it's awful, but the people who are dying 79 00:04:36,800 --> 00:04:41,200 Speaker 1: with COVID are approaching the age at which most people 80 00:04:41,279 --> 00:04:44,800 Speaker 1: die of all causes. When somebody in their twenties or 81 00:04:44,920 --> 00:04:49,680 Speaker 1: thirties or forties dies, buck they are losing forty years 82 00:04:49,880 --> 00:04:54,520 Speaker 1: or fifty years or sometimes sixty years of life. And 83 00:04:54,560 --> 00:04:58,680 Speaker 1: so this is why, and it's everybody out there understands it. 84 00:04:58,680 --> 00:05:02,080 Speaker 1: It's why when you go to a funeral for someone 85 00:05:02,120 --> 00:05:05,520 Speaker 1: who is younger that has died, it is such an 86 00:05:05,560 --> 00:05:09,599 Speaker 1: awful feeling compared to when you go to a funeral 87 00:05:09,600 --> 00:05:12,039 Speaker 1: for someone who's eighty five or ninety, and it's a 88 00:05:12,080 --> 00:05:16,719 Speaker 1: celebration of their life. What we are doing is destroying 89 00:05:16,839 --> 00:05:20,280 Speaker 1: young people's lives by not protecting our border, by not 90 00:05:20,480 --> 00:05:24,120 Speaker 1: fighting against all of these all these drugs that are 91 00:05:24,160 --> 00:05:27,000 Speaker 1: coming in, and then by not allowing people to live 92 00:05:27,040 --> 00:05:30,640 Speaker 1: their normal life, we have stacked up tens of thousands 93 00:05:30,680 --> 00:05:34,320 Speaker 1: of additional debts that would otherwise not have occurred if 94 00:05:34,360 --> 00:05:37,000 Speaker 1: we had never done lockdowns. So they agree, This White 95 00:05:37,040 --> 00:05:39,919 Speaker 1: House agrees that there is a massive problem, and the numbers, 96 00:05:40,600 --> 00:05:43,560 Speaker 1: the numbers show that beyond any doubt whatsoever, and they're 97 00:05:43,560 --> 00:05:45,760 Speaker 1: getting worse. This is one of the areas in public life, 98 00:05:45,839 --> 00:05:47,840 Speaker 1: just like crime has been getting a lot worse recently, 99 00:05:47,839 --> 00:05:50,640 Speaker 1: and you can avoid those numbers. The opio we sent 100 00:05:50,680 --> 00:05:54,120 Speaker 1: an all time record last year. And let's work backwards 101 00:05:54,240 --> 00:05:56,960 Speaker 1: from the ground zero of the problem, if you will, 102 00:05:57,000 --> 00:05:59,480 Speaker 1: all the way back to the supply chain of these 103 00:05:59,600 --> 00:06:04,120 Speaker 1: lethal these lethal substances. You mentioned the lockdowns. Clay absolutely 104 00:06:04,120 --> 00:06:07,400 Speaker 1: a huge component of this. People were in despair, They 105 00:06:07,400 --> 00:06:11,039 Speaker 1: were separated from friends and family and aspects of the 106 00:06:11,080 --> 00:06:14,680 Speaker 1: community that would have been necessary would have been very 107 00:06:14,680 --> 00:06:17,719 Speaker 1: helpful for them, especially during the enhanced anxiety of the 108 00:06:17,720 --> 00:06:20,479 Speaker 1: early days of the pandemic. So that was and who 109 00:06:20,480 --> 00:06:22,680 Speaker 1: pushed the lockdowns? Now, just put that question out there 110 00:06:22,680 --> 00:06:24,839 Speaker 1: for they who pushed the lockdowns and who was saying 111 00:06:25,040 --> 00:06:27,000 Speaker 1: we need openness, we need people to be able to 112 00:06:27,440 --> 00:06:29,200 Speaker 1: Now you step up and then you step back a 113 00:06:29,200 --> 00:06:31,320 Speaker 1: little bit. Where are the drugs coming from? So we 114 00:06:31,360 --> 00:06:33,719 Speaker 1: know what's happening when people get the drugs there And 115 00:06:33,839 --> 00:06:36,960 Speaker 1: there was already I think about ninety thousand overdose stats 116 00:06:37,000 --> 00:06:40,080 Speaker 1: a year roughly before the pandemic. Pandemic kicked it above 117 00:06:40,360 --> 00:06:42,320 Speaker 1: one hundred thousands, so that's made it worse. Where the 118 00:06:42,360 --> 00:06:45,760 Speaker 1: drugs coming from to come across the overwhelmingly the US 119 00:06:45,920 --> 00:06:49,880 Speaker 1: Mexico border, and the Biden administration's refusal to get serious 120 00:06:49,960 --> 00:06:53,719 Speaker 1: about border security and having control of the border. The 121 00:06:53,800 --> 00:06:57,920 Speaker 1: lawlessness they've allowed has made the cartels much richer, much 122 00:06:57,960 --> 00:07:01,480 Speaker 1: more powerful, much more influential, and they have likely ever been, 123 00:07:01,839 --> 00:07:04,200 Speaker 1: and they are flooding our streets with these drugs. And 124 00:07:04,240 --> 00:07:07,880 Speaker 1: then you can step back even further than that to China, 125 00:07:07,960 --> 00:07:12,120 Speaker 1: because the Chinese Communist Party is refusing to crack down 126 00:07:12,280 --> 00:07:14,920 Speaker 1: on the precursor chemicals. It's really only like a three 127 00:07:15,040 --> 00:07:17,200 Speaker 1: or four step process. And now we're getting kind of 128 00:07:17,240 --> 00:07:19,720 Speaker 1: breaking bad here, but it is. It's a three or 129 00:07:19,760 --> 00:07:23,640 Speaker 1: four step process to make these compounds, to make the 130 00:07:23,760 --> 00:07:26,320 Speaker 1: fentanyl and the car fentol and these things, and the 131 00:07:26,400 --> 00:07:30,400 Speaker 1: precursor chemicals clay are being shipped to the Mexican drug 132 00:07:30,440 --> 00:07:35,239 Speaker 1: cartels in massive vats by the Chinese Communist Party. So 133 00:07:35,520 --> 00:07:39,360 Speaker 1: you're seeing here how this whole system works. The Biden 134 00:07:39,400 --> 00:07:43,600 Speaker 1: administration to address this is doing what exactly, trying to 135 00:07:43,600 --> 00:07:47,600 Speaker 1: give out clean needle programs and pipes, trying to increase 136 00:07:48,040 --> 00:07:51,360 Speaker 1: funding for substance abuse centers. By the way, substance abuse 137 00:07:51,400 --> 00:07:54,240 Speaker 1: centers is good, and I'm not saying that those aren't 138 00:07:54,280 --> 00:07:56,480 Speaker 1: things that might have some effect. But if you want 139 00:07:56,480 --> 00:08:00,760 Speaker 1: to get to core baseline, how we stop the flood 140 00:08:00,800 --> 00:08:03,160 Speaker 1: on our streets and stop people from dying from this, 141 00:08:03,920 --> 00:08:06,560 Speaker 1: you need a Democrat party that is much more serious 142 00:08:06,640 --> 00:08:10,640 Speaker 1: about the Dare I say root causes and origins of 143 00:08:10,680 --> 00:08:14,800 Speaker 1: the pipeline of these illegal drugs. What would happen if 144 00:08:14,840 --> 00:08:17,560 Speaker 1: we had a trucker convoy, I like the idea of 145 00:08:17,560 --> 00:08:20,280 Speaker 1: them being in Washington, DC. What would happen if they 146 00:08:20,320 --> 00:08:22,720 Speaker 1: went to the southern border? Buck? Would people cover it? 147 00:08:24,000 --> 00:08:25,760 Speaker 1: We've got we've got an issue right now in the 148 00:08:25,800 --> 00:08:27,560 Speaker 1: northern border, and all of a sudden, I'm hearing about 149 00:08:27,560 --> 00:08:31,280 Speaker 1: the Ambassador Bridge and people can't get across. If truckers 150 00:08:31,280 --> 00:08:34,160 Speaker 1: went to our southern border, would the media be forced 151 00:08:34,160 --> 00:08:37,000 Speaker 1: to travel down there and cover it? It would be fascinating, Clay, 152 00:08:37,040 --> 00:08:41,760 Speaker 1: because they what you're seeing now with Trudeau saying their Nazis, 153 00:08:41,880 --> 00:08:45,439 Speaker 1: they're racist, the Confederate flags. It would be that times 154 00:08:45,440 --> 00:08:48,440 Speaker 1: a hundred from our own media. If truckers just went 155 00:08:48,440 --> 00:08:51,080 Speaker 1: down to the border and said, we need a secure border. 156 00:08:51,320 --> 00:08:53,959 Speaker 1: We need our brothers and sisters in America to not 157 00:08:54,440 --> 00:08:58,360 Speaker 1: have ready access to the illegal fentonel that's flooding the 158 00:08:58,360 --> 00:09:02,280 Speaker 1: streets from the drug cartel across the southern border. They 159 00:09:02,280 --> 00:09:04,360 Speaker 1: would just say they're all racist. That's what would happened. 160 00:09:04,360 --> 00:09:06,480 Speaker 1: They would say they're all racist. I mean, it's horrifying, 161 00:09:06,520 --> 00:09:09,520 Speaker 1: but I think that that is the reality. It would 162 00:09:09,559 --> 00:09:11,880 Speaker 1: be interesting. I think you're right because anytime you make 163 00:09:11,920 --> 00:09:15,000 Speaker 1: a strong argument, they don't engage in the argument itself. 164 00:09:15,040 --> 00:09:17,680 Speaker 1: They just immediately go to the politics of personal destruction 165 00:09:17,720 --> 00:09:20,840 Speaker 1: and say you're racist, you're sexist, you're transphobic, whatever it is. 166 00:09:21,200 --> 00:09:23,200 Speaker 1: That's a number one attack right now. We mentioned, you know, 167 00:09:23,240 --> 00:09:26,439 Speaker 1: the upin swimming issue. How dare you be so transphobic? Yeah, 168 00:09:26,440 --> 00:09:29,160 Speaker 1: it's hugely transphobic to believe that men should compete against 169 00:09:29,160 --> 00:09:31,520 Speaker 1: men and women should compete against women. But that's where 170 00:09:31,559 --> 00:09:34,160 Speaker 1: we are. I gotta tell you, folks, we'll take some 171 00:09:34,200 --> 00:09:35,559 Speaker 1: calls in a second. 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You gotta see 195 00:10:43,520 --> 00:10:46,840 Speaker 1: this book. Remember you use code Clay and Buck right now. 196 00:10:46,880 --> 00:10:48,400 Speaker 1: When you go to my pillow dot com or call 197 00:10:48,520 --> 00:10:51,600 Speaker 1: eight hundred seven nine two three two six nine eight 198 00:10:51,679 --> 00:11:00,600 Speaker 1: hundred seven nine two three two six nine. Why the 199 00:11:00,679 --> 00:11:06,360 Speaker 1: Biden administration is handing out three crack pipes. That's the 200 00:11:06,440 --> 00:11:10,840 Speaker 1: story up on Newsweek from just a couple of hours ago. Today. 201 00:11:11,280 --> 00:11:14,840 Speaker 1: It's the real story, folks. Biden administration handing out crack 202 00:11:14,920 --> 00:11:18,959 Speaker 1: pipes part of a program to reduce harm from illegal 203 00:11:19,040 --> 00:11:21,840 Speaker 1: drug use. They say, this coming at a time when 204 00:11:21,840 --> 00:11:25,120 Speaker 1: we have had a massive crime surge, more overdoses over 205 00:11:25,160 --> 00:11:28,160 Speaker 1: one hundred thousand and twenty twenty one leading to death, 206 00:11:28,160 --> 00:11:31,720 Speaker 1: and at any time in our history, more cops shot 207 00:11:31,760 --> 00:11:35,360 Speaker 1: than at any time since nineteen ninety five. When you 208 00:11:35,360 --> 00:11:37,080 Speaker 1: look at last year's numbers, you gotta go back to 209 00:11:37,080 --> 00:11:39,840 Speaker 1: the eighties for so many of our law enforcement offers 210 00:11:39,840 --> 00:11:43,160 Speaker 1: to be killed on the job by criminals. What is 211 00:11:43,200 --> 00:11:46,000 Speaker 1: going on here? We have somebody who knows this backwards 212 00:11:46,000 --> 00:11:48,120 Speaker 1: and forwards. Heather McDonald was with us. Now she's a 213 00:11:48,160 --> 00:11:51,880 Speaker 1: senior fellow at the Manhattan Institute, contributing editor at City Journal, 214 00:11:52,200 --> 00:11:54,319 Speaker 1: and the author of the excellent book I've got a 215 00:11:54,360 --> 00:11:56,160 Speaker 1: copy of it at home, The War on Cops, or 216 00:11:56,240 --> 00:11:59,320 Speaker 1: latest piece in City Journal, The Guardians in Retreat. Heather, 217 00:11:59,360 --> 00:12:01,560 Speaker 1: thank you so much. Well, thank you so much for 218 00:12:01,600 --> 00:12:03,960 Speaker 1: having me on bucking Clay. It's in honor the Guardians 219 00:12:04,000 --> 00:12:07,520 Speaker 1: in Retreat. Tell us about this. What's going on? Oh, 220 00:12:07,559 --> 00:12:10,520 Speaker 1: it's another example of white culling that is happening across 221 00:12:10,559 --> 00:12:14,719 Speaker 1: our major institutions. The Art Institute of Chicago, which is 222 00:12:14,760 --> 00:12:18,040 Speaker 1: one of the great museums in the world, decided to 223 00:12:18,160 --> 00:12:22,000 Speaker 1: terminate its docent program, not because the docents were doing 224 00:12:22,040 --> 00:12:25,880 Speaker 1: a poor job or they weren't communicating effectively with students, 225 00:12:26,240 --> 00:12:30,200 Speaker 1: but because they were overwhelmingly white, and that in today's world, 226 00:12:30,280 --> 00:12:33,960 Speaker 1: in institution after institution, is a sin that you simply 227 00:12:34,040 --> 00:12:38,040 Speaker 1: cannot overcome. And so they've decided to give up on 228 00:12:38,400 --> 00:12:43,720 Speaker 1: highly trained, free labor that has introduced generations of Chicago 229 00:12:43,840 --> 00:12:50,080 Speaker 1: children to the greatest masterpieces of world civilization. Replace them 230 00:12:50,080 --> 00:12:55,520 Speaker 1: with six paid art educators who will be chosen not 231 00:12:55,600 --> 00:12:58,000 Speaker 1: on the basis of knowledge, but on the basis of 232 00:12:58,040 --> 00:13:01,520 Speaker 1: the utter irrelevancy of race. If you're a white or 233 00:13:01,559 --> 00:13:04,120 Speaker 1: if you're especially a white male, and you are not 234 00:13:04,280 --> 00:13:08,840 Speaker 1: trans or gay, you are finding doors closing to you 235 00:13:09,679 --> 00:13:14,360 Speaker 1: across the culture Heather, I appreciate you coming on and 236 00:13:14,520 --> 00:13:17,320 Speaker 1: the work that you have done on police and the 237 00:13:17,440 --> 00:13:20,560 Speaker 1: data and the danger relative to the way the media 238 00:13:20,640 --> 00:13:25,240 Speaker 1: covers it is truly extraordinary. And so nineteen ninety five 239 00:13:25,320 --> 00:13:28,520 Speaker 1: was the last time this many police officers were killed, 240 00:13:28,600 --> 00:13:32,680 Speaker 1: as we just saw in twenty twenty one. Why are, 241 00:13:32,840 --> 00:13:36,200 Speaker 1: in your opinion, based on the data, police under attack 242 00:13:36,320 --> 00:13:39,880 Speaker 1: like they have not been in basically a quarter century 243 00:13:39,920 --> 00:13:43,480 Speaker 1: in this country. What is the data telling us, Well, 244 00:13:43,480 --> 00:13:46,640 Speaker 1: the data is telling us that in the first half 245 00:13:46,679 --> 00:13:50,280 Speaker 1: of twenty twenty one, ambush assaults on officers were up 246 00:13:50,360 --> 00:13:55,160 Speaker 1: ninety one percent. As you say, twenty twenty one overall 247 00:13:55,360 --> 00:13:59,240 Speaker 1: was the highest since ninety five. What's going on here, 248 00:13:59,360 --> 00:14:04,360 Speaker 1: I believe, is the effects of ruthless, relentless demonization of 249 00:14:04,360 --> 00:14:08,480 Speaker 1: the police on the part of the elite democratic establishment, 250 00:14:08,480 --> 00:14:12,560 Speaker 1: and that includes President Joe Biden. Joe Biden had the 251 00:14:12,840 --> 00:14:20,840 Speaker 1: utter shamelessness in October during Police Week to memorialize slain 252 00:14:20,920 --> 00:14:25,880 Speaker 1: officers in DC to bring up his constant theme that 253 00:14:26,200 --> 00:14:30,800 Speaker 1: blacks in America were somehow under assault from police officers 254 00:14:30,880 --> 00:14:33,800 Speaker 1: and that our criminal justice system was not meeting out 255 00:14:34,160 --> 00:14:37,200 Speaker 1: fair justice. That is a complete lie. None of the 256 00:14:37,280 --> 00:14:40,960 Speaker 1: data shows it. Even left wing criminologist, if they're forced 257 00:14:40,960 --> 00:14:42,560 Speaker 1: with a gun that they had to be honest, they 258 00:14:42,600 --> 00:14:46,600 Speaker 1: will acknowledge that what drives the criminal justice system is crime, 259 00:14:47,200 --> 00:14:53,200 Speaker 1: not race, but Biden, even as recently as October has 260 00:14:53,240 --> 00:14:57,040 Speaker 1: been sending that message and criminals get the message. You 261 00:14:57,120 --> 00:15:00,560 Speaker 1: also have things like the progressive prosecutors, whether it's George 262 00:15:00,600 --> 00:15:04,320 Speaker 1: Gascon in Los Angeles or the recently elected Alvin Bragg 263 00:15:04,360 --> 00:15:07,960 Speaker 1: in New York City, declaring publicly announcing that they are 264 00:15:08,000 --> 00:15:12,640 Speaker 1: not going to prosecute the crime of resisting arrest. I 265 00:15:12,680 --> 00:15:15,960 Speaker 1: can think of nothing more corrosive to respect for the 266 00:15:16,040 --> 00:15:19,560 Speaker 1: rule of law than sending out a message that our 267 00:15:19,680 --> 00:15:26,920 Speaker 1: prosecutorial establishment does not regard the disrespect for officers, the 268 00:15:27,040 --> 00:15:30,840 Speaker 1: refusal to go along with lawful orders, as something that 269 00:15:30,880 --> 00:15:35,040 Speaker 1: should be absolutely punished when you allow, as we saw 270 00:15:35,120 --> 00:15:38,960 Speaker 1: with a third precinct in Minneapolis during the first outburst 271 00:15:39,080 --> 00:15:43,160 Speaker 1: of the George Floyd race riots in late May of 272 00:15:43,280 --> 00:15:47,440 Speaker 1: twenty twenty, that police precinct was torched. It was burned 273 00:15:47,440 --> 00:15:50,680 Speaker 1: to the ground. It was deliberately abandoned on the part 274 00:15:50,760 --> 00:15:53,400 Speaker 1: of the city's leaders because they did not want to 275 00:15:53,440 --> 00:15:57,840 Speaker 1: have bad videos showing them, you know, engaged in strong 276 00:15:57,920 --> 00:16:02,280 Speaker 1: combat with the Black Lives Matter rioters. When you allow 277 00:16:02,760 --> 00:16:05,960 Speaker 1: the symbols and the reality of law enforcement to be 278 00:16:06,080 --> 00:16:10,320 Speaker 1: so destroyed, you are destroying everybody else's safety. We do 279 00:16:10,400 --> 00:16:13,480 Speaker 1: not have to accept this, this crime wave that is 280 00:16:13,520 --> 00:16:17,520 Speaker 1: taking down the young, the elderly, the law abiding, We 281 00:16:17,600 --> 00:16:20,200 Speaker 1: do not have to accept it. It is not normal. 282 00:16:20,880 --> 00:16:24,320 Speaker 1: We have to start enforcing the law again without regard 283 00:16:24,680 --> 00:16:28,960 Speaker 1: to the consequences of disparate impact, which is why everybody's 284 00:16:29,000 --> 00:16:31,360 Speaker 1: backing off of law enforcement, because they don't want to 285 00:16:31,360 --> 00:16:34,040 Speaker 1: have a disparate impact on minorities. When you back off 286 00:16:34,080 --> 00:16:38,000 Speaker 1: on law enforcement to avoid a disparate impact on minority criminals, 287 00:16:38,040 --> 00:16:41,760 Speaker 1: the first people who suffer are the law abiding minority victims. 288 00:16:42,040 --> 00:16:44,800 Speaker 1: Speaking of Heather McDonald, author of the book the best 289 00:16:44,840 --> 00:16:49,080 Speaker 1: selling book The War on Cops, Heather, is the pivot 290 00:16:49,160 --> 00:16:51,440 Speaker 1: happening now because one of the big things we're discussing 291 00:16:51,480 --> 00:16:54,680 Speaker 1: today on the show is not just the move away 292 00:16:54,760 --> 00:16:59,600 Speaker 1: from masks and various mandates, because there's an election looming 293 00:17:00,040 --> 00:17:02,640 Speaker 1: and more and more people are realizing how stupid and 294 00:17:02,680 --> 00:17:05,720 Speaker 1: pointless a lot of this stuff was. Is that happening 295 00:17:05,760 --> 00:17:08,560 Speaker 1: in a different way or on a different subject when 296 00:17:08,560 --> 00:17:10,919 Speaker 1: it comes to the soft on crime policies. I mean 297 00:17:10,960 --> 00:17:13,960 Speaker 1: I mentioned the handing out of free crack pipes that's 298 00:17:13,960 --> 00:17:16,560 Speaker 1: going on. But you do have brag the DA in 299 00:17:16,560 --> 00:17:19,240 Speaker 1: New York coming under a lot of heat for his 300 00:17:19,920 --> 00:17:24,119 Speaker 1: just seemingly insane statement on who he will and won't prosecute. 301 00:17:24,600 --> 00:17:27,199 Speaker 1: Cops are getting refunded, if you will, in places like 302 00:17:27,280 --> 00:17:30,359 Speaker 1: Austin and other jurisdictions other cities where they were defunded 303 00:17:30,359 --> 00:17:32,840 Speaker 1: in the past. Is the pivot happening or are there 304 00:17:32,840 --> 00:17:35,720 Speaker 1: places that are still holding out against it? Oh, there's 305 00:17:35,760 --> 00:17:38,040 Speaker 1: many places still holding out. And here's what to look 306 00:17:38,080 --> 00:17:42,480 Speaker 1: for when if we go back to enforcing the law. 307 00:17:43,240 --> 00:17:46,600 Speaker 1: It will have a disparate impact because black crime rates 308 00:17:46,640 --> 00:17:50,800 Speaker 1: are astronomically higher. They're about thirteen times higher homicide rate 309 00:17:51,320 --> 00:17:54,480 Speaker 1: for blacks than for whites. So when you enforce the 310 00:17:54,560 --> 00:17:59,080 Speaker 1: law against shootings, Blacks in New York City commit about 311 00:17:59,080 --> 00:18:02,040 Speaker 1: seventy five cent of all shootings, though they're they're twenty 312 00:18:02,040 --> 00:18:05,240 Speaker 1: three percent of the population. A black New Yorkers is 313 00:18:05,280 --> 00:18:07,720 Speaker 1: fifty times more likely of commiss shooting in the white 314 00:18:07,720 --> 00:18:09,960 Speaker 1: New Yorker. If we go back to enforcing the law, 315 00:18:10,160 --> 00:18:13,679 Speaker 1: we will have a disparate impact on criminals, and the 316 00:18:13,720 --> 00:18:18,960 Speaker 1: majority of those criminals are black. If the if Eric Adams, 317 00:18:18,960 --> 00:18:22,160 Speaker 1: the mayor of New York, backs down under the ACLU pressure, 318 00:18:22,200 --> 00:18:25,440 Speaker 1: which will happen. And he's already said that he wants 319 00:18:25,480 --> 00:18:28,720 Speaker 1: to collect racial data on judges to see if they 320 00:18:28,720 --> 00:18:36,879 Speaker 1: are setting higher bail or holding violent offenders rather than 321 00:18:36,960 --> 00:18:39,120 Speaker 1: letting them loose on the streets at a higher rate 322 00:18:39,160 --> 00:18:42,320 Speaker 1: for blacks. That's going to set off alarm bills. I'm 323 00:18:42,600 --> 00:18:48,400 Speaker 1: I'm yet to be persuaded that the longstanding race narrative 324 00:18:48,520 --> 00:18:51,920 Speaker 1: that says that every aspect in American society that is 325 00:18:52,000 --> 00:18:55,720 Speaker 1: racially disproportionate as a result of racism has been dislodged. 326 00:18:56,000 --> 00:18:59,199 Speaker 1: It is going to take people standing up and saying 327 00:18:59,600 --> 00:19:04,600 Speaker 1: there are other explanations to ongoing racial disparities and racism. Yes, 328 00:19:05,200 --> 00:19:08,280 Speaker 1: this is a country that had a terrible history, and 329 00:19:08,400 --> 00:19:12,320 Speaker 1: that history lasted very recently. In the sixties and seventies, 330 00:19:12,359 --> 00:19:15,760 Speaker 1: even in the North, blacks were still being treated with contempt. 331 00:19:15,960 --> 00:19:19,760 Speaker 1: But we are a changed country right now. The reality 332 00:19:19,880 --> 00:19:23,840 Speaker 1: is black privilege, not white privilege. There's not a single 333 00:19:23,880 --> 00:19:26,919 Speaker 1: institution that is not bending over backwards to hire and 334 00:19:26,960 --> 00:19:30,280 Speaker 1: promote as many blacks as possible. The criminal justice system 335 00:19:30,480 --> 00:19:34,440 Speaker 1: has nothing to apologize for, and we have to combat 336 00:19:34,520 --> 00:19:38,280 Speaker 1: the leftist narrative that says, here's a racial disparity. You know, 337 00:19:38,320 --> 00:19:41,239 Speaker 1: there's not thirteen percent blacks in Google. That's because of 338 00:19:41,560 --> 00:19:45,119 Speaker 1: racism and discrimination against black engineers. No, it's because of 339 00:19:45,119 --> 00:19:50,040 Speaker 1: an academic skills gap, culture gap, whatever. So I'm gonna 340 00:19:50,080 --> 00:19:52,439 Speaker 1: hold I'm going to hope. I'm going to hope that 341 00:19:52,480 --> 00:19:54,840 Speaker 1: we've turned the corner on this, but I tell you 342 00:19:54,920 --> 00:19:58,960 Speaker 1: it's a hard haul because the academy and the democratic 343 00:19:59,040 --> 00:20:04,080 Speaker 1: establishment still remains wedded to the phony racism narrative. Heather 344 00:20:04,320 --> 00:20:06,520 Speaker 1: quickly here. You had a stat that I was trying 345 00:20:06,520 --> 00:20:10,640 Speaker 1: to reference earlier this week, the percentage chance that a 346 00:20:10,680 --> 00:20:15,359 Speaker 1: police officer is shot by a black person versus the 347 00:20:15,440 --> 00:20:18,919 Speaker 1: chances that they shoot a black person. It was something 348 00:20:18,960 --> 00:20:21,919 Speaker 1: like eighteen thousand more. What is that stat? Do you 349 00:20:21,960 --> 00:20:26,280 Speaker 1: remember in your book specifically? Because yeah, currently, last year 350 00:20:26,320 --> 00:20:31,800 Speaker 1: there were four unarmed blacks. I'd say allegedly unarmed, because 351 00:20:31,800 --> 00:20:34,800 Speaker 1: that's the Washington Post database, and they classify people that 352 00:20:34,840 --> 00:20:38,000 Speaker 1: are trying to grab an officer's gun as unarmed. There 353 00:20:38,040 --> 00:20:41,159 Speaker 1: were four unarmed blacks shot by the police out of 354 00:20:41,160 --> 00:20:44,440 Speaker 1: a population of between forty four forty seven million. If 355 00:20:44,440 --> 00:20:46,879 Speaker 1: you look at the number of police officers who were 356 00:20:47,000 --> 00:20:50,320 Speaker 1: killed last year, which is seventy three and you do 357 00:20:50,359 --> 00:20:54,639 Speaker 1: a per capita comparison, and you take into account the 358 00:20:55,119 --> 00:20:58,919 Speaker 1: historical rate at which blacks have shot police officers fatally, 359 00:20:58,920 --> 00:21:02,080 Speaker 1: which is about two percent of all cop killers are black. 360 00:21:02,280 --> 00:21:04,080 Speaker 1: I'm sorry, there's a lot of numbers that throughout the 361 00:21:04,119 --> 00:21:09,320 Speaker 1: bottom up is a police officer is four hundred times 362 00:21:09,359 --> 00:21:13,000 Speaker 1: as likely to be killed by a black criminal as 363 00:21:13,040 --> 00:21:15,960 Speaker 1: an unarmed black person is to be killed by a 364 00:21:16,000 --> 00:21:20,000 Speaker 1: police officer. So the narrative again, as we know, as 365 00:21:20,040 --> 00:21:25,080 Speaker 1: you guys keeps pressing home Buck and Clay, is completely false. 366 00:21:26,040 --> 00:21:27,920 Speaker 1: And you know the other thing that one needs to 367 00:21:27,920 --> 00:21:31,600 Speaker 1: be saved that the libertarian left and the libertarians left 368 00:21:31,720 --> 00:21:34,400 Speaker 1: always say, oh, it's so safe to be a police officer, 369 00:21:34,520 --> 00:21:36,600 Speaker 1: you know, nothing to worry about. These guys have it 370 00:21:36,720 --> 00:21:40,080 Speaker 1: really easy. Well, again, let's look at the rate of 371 00:21:40,520 --> 00:21:46,120 Speaker 1: deaths a police police officers or a thousand times as 372 00:21:46,240 --> 00:21:50,920 Speaker 1: likely to be killed last year as blacks were by 373 00:21:51,000 --> 00:21:56,400 Speaker 1: police officers. So if it's safe to be a police officer, 374 00:21:57,119 --> 00:22:00,880 Speaker 1: and you're a thousand times more likely to be killed 375 00:22:01,280 --> 00:22:05,760 Speaker 1: than an unarmed black is. Let's, for heaven's sakes, acknowledge 376 00:22:05,920 --> 00:22:08,840 Speaker 1: contrary to what Biden tells black parents all the time 377 00:22:09,240 --> 00:22:12,560 Speaker 1: that as far as the police go, it is very 378 00:22:13,000 --> 00:22:16,520 Speaker 1: very safe to be black. Who should we be worried 379 00:22:16,520 --> 00:22:23,000 Speaker 1: about these insane teen thugs who are going around spraying 380 00:22:23,080 --> 00:22:28,639 Speaker 1: bullets across city streets, taking down one year olds, three 381 00:22:28,720 --> 00:22:32,440 Speaker 1: year olds, four year olds. Last year in Chicago alone, 382 00:22:32,800 --> 00:22:35,880 Speaker 1: there was a one month old girl shot in the head, 383 00:22:36,000 --> 00:22:38,720 Speaker 1: a four year old boy shot twice in the head, 384 00:22:39,080 --> 00:22:41,879 Speaker 1: a six year old girl shot in the head, seven 385 00:22:41,960 --> 00:22:44,359 Speaker 1: year old girl shot in the head, nine year old 386 00:22:44,359 --> 00:22:48,200 Speaker 1: girl shot in the head. They're not shot by the cops. 387 00:22:48,240 --> 00:22:52,399 Speaker 1: They're shot by thugs, and those thugs should be off 388 00:22:52,440 --> 00:22:56,520 Speaker 1: the streets and in prison, no matter their race, no 389 00:22:56,600 --> 00:23:01,280 Speaker 1: matter their age. Heather McDonald, thank you so much for 390 00:23:01,440 --> 00:23:03,159 Speaker 1: this time. Thank you for the work that you have 391 00:23:03,240 --> 00:23:06,719 Speaker 1: done contextualizing the danger to police out in our streets. 392 00:23:06,800 --> 00:23:11,119 Speaker 1: Thank you, Thank you such an honor. You don't switch 393 00:23:11,200 --> 00:23:13,919 Speaker 1: cell phone plans or cell phone companies often. I know 394 00:23:14,000 --> 00:23:15,800 Speaker 1: it's because it takes a lot to do so they 395 00:23:15,800 --> 00:23:18,119 Speaker 1: can raise your fees. You can can't just grin and 396 00:23:18,160 --> 00:23:20,359 Speaker 1: bear it. You don't have to be chained though, to 397 00:23:20,520 --> 00:23:23,120 Speaker 1: Verizon AT and T or T Mobile. Not When there's 398 00:23:23,200 --> 00:23:25,760 Speaker 1: pure talk available. 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Welcome into 416 00:24:25,960 --> 00:24:29,640 Speaker 1: the start of the Clay Travis and Buck Sexton show, 417 00:24:29,680 --> 00:24:31,920 Speaker 1: everybody all across the country, thank you for being You're 418 00:24:31,920 --> 00:24:37,320 Speaker 1: with us. Racked and Stack Day. We've got Stacy Abraham's 419 00:24:37,400 --> 00:24:44,000 Speaker 1: apologizing for not a mask less photo, but maskless photos. 420 00:24:44,160 --> 00:24:47,560 Speaker 1: Big hat tip to the excellent website OutKick dot com 421 00:24:47,560 --> 00:24:50,200 Speaker 1: for breaking the story. Play your team. High fives all 422 00:24:50,200 --> 00:24:53,399 Speaker 1: around on that one. We've also got New York State 423 00:24:53,680 --> 00:24:59,200 Speaker 1: rolling back the indoor mask mandate, but not the schoolmask mandate, 424 00:24:59,480 --> 00:25:03,399 Speaker 1: and this DC the breaking news here is they're still 425 00:25:03,440 --> 00:25:08,480 Speaker 1: recommending masking and high transmission areas. Why is this such 426 00:25:08,520 --> 00:25:11,879 Speaker 1: a fight at this point? Cases are down? And we 427 00:25:11,960 --> 00:25:14,360 Speaker 1: asked that rhetorically. Of course, we'll tell you why. We're 428 00:25:14,359 --> 00:25:17,840 Speaker 1: going to get into why the cases are down almost 429 00:25:17,840 --> 00:25:22,960 Speaker 1: fifty percent last couple of weeks. Been an enormous change 430 00:25:23,040 --> 00:25:28,360 Speaker 1: in the COVID positivity rate, right, and the COVID rate 431 00:25:28,440 --> 00:25:33,000 Speaker 1: of spread, of hospitalization everything. It's obviously just the end 432 00:25:33,040 --> 00:25:36,679 Speaker 1: of the season. It's the end of the season, and 433 00:25:37,160 --> 00:25:39,679 Speaker 1: they're acting like this is because or we are in 434 00:25:39,720 --> 00:25:44,520 Speaker 1: a situation where we should be thanking the Fauciites and 435 00:25:44,560 --> 00:25:46,640 Speaker 1: the people around us for what they have done here 436 00:25:46,640 --> 00:25:51,480 Speaker 1: for the situation of the lockdowns, the mandates, the vaccine passports, 437 00:25:51,480 --> 00:25:54,159 Speaker 1: all of it, and if anything else. You have to 438 00:25:54,160 --> 00:25:57,920 Speaker 1: remember they're going to try to tell you that they 439 00:25:57,960 --> 00:26:01,760 Speaker 1: did everything right and that everything that they're doing is 440 00:26:02,119 --> 00:26:05,800 Speaker 1: right and will continue to be. And Clay, what I 441 00:26:05,840 --> 00:26:09,080 Speaker 1: want to say is I refuse to allow this. I 442 00:26:09,119 --> 00:26:12,320 Speaker 1: refuse to let them act like the science change. We 443 00:26:12,480 --> 00:26:15,880 Speaker 1: found out new stuff. We did everything that we were 444 00:26:15,880 --> 00:26:19,200 Speaker 1: supposed to do. That the promises they made about stopping 445 00:26:19,240 --> 00:26:23,879 Speaker 1: the spread and transmission of the virus that masks work. 446 00:26:24,359 --> 00:26:28,040 Speaker 1: This is a hill I will gladly die on unmasked. 447 00:26:28,600 --> 00:26:32,560 Speaker 1: It doesn't work. It didn't work, and they're crazy. Well, 448 00:26:33,000 --> 00:26:40,119 Speaker 1: this is significant, right. We need consequences for public policy failures. 449 00:26:40,960 --> 00:26:45,840 Speaker 1: We need to know that there are issues when you're 450 00:26:45,880 --> 00:26:49,480 Speaker 1: totally wrong, whether it's defund the police, which basically no 451 00:26:49,520 --> 00:26:51,840 Speaker 1: one in America now is even arguing they were ever 452 00:26:51,920 --> 00:26:54,040 Speaker 1: in favor of Buck Like. You can't even find the 453 00:26:54,080 --> 00:26:57,639 Speaker 1: Democrat now who says defund the police is a good idea. 454 00:26:57,880 --> 00:27:01,760 Speaker 1: That's after everyone was arguing or basically six months defund 455 00:27:01,760 --> 00:27:03,600 Speaker 1: the police was the way to go. I think there's 456 00:27:03,640 --> 00:27:05,919 Speaker 1: one just to I think on Fox News this morning, 457 00:27:06,600 --> 00:27:08,760 Speaker 1: who wasn't just just to be fair, Clay, I think 458 00:27:08,800 --> 00:27:12,040 Speaker 1: there's literally Corey Bush. That's good. That Corey Bush she's 459 00:27:12,080 --> 00:27:14,680 Speaker 1: still arguing in favor of it as of this morning, 460 00:27:15,080 --> 00:27:17,640 Speaker 1: is refusing this is on Fox news dot Com. Refusing 461 00:27:17,680 --> 00:27:19,440 Speaker 1: to back away from defund the police. This was their 462 00:27:19,440 --> 00:27:20,800 Speaker 1: main story, which is what I was thinking about. It 463 00:27:23,320 --> 00:27:25,560 Speaker 1: is what there is at least one Democrat who is 464 00:27:25,600 --> 00:27:29,520 Speaker 1: still and you know what, I actually have more respect 465 00:27:29,560 --> 00:27:31,520 Speaker 1: for Corey I didn't have much respect for Corey Bush 466 00:27:31,560 --> 00:27:34,840 Speaker 1: in the first place, because she was, if I remember correctly, 467 00:27:35,480 --> 00:27:38,000 Speaker 1: uh one one of the women who was sleeping on 468 00:27:38,040 --> 00:27:41,280 Speaker 1: the steps of the Capitol to get an unconstitutional addiction moratorium. 469 00:27:41,560 --> 00:27:44,239 Speaker 1: But she also spent hundreds of thousands of dollars on 470 00:27:44,240 --> 00:27:47,320 Speaker 1: her own private security while arguing that police needed to 471 00:27:47,320 --> 00:27:51,159 Speaker 1: be defund because she's important. Clay, yes, that, but but 472 00:27:51,480 --> 00:27:53,960 Speaker 1: at least she's sticking to her guns, so to speak, 473 00:27:54,080 --> 00:27:57,920 Speaker 1: on this one. But their need to be for everybody 474 00:27:57,960 --> 00:28:01,360 Speaker 1: out there. Doctor Lena win Buck, we talked about this yesterday. 475 00:28:01,920 --> 00:28:07,960 Speaker 1: When I saw her CNN hit, my jaw dropped. It's 476 00:28:08,040 --> 00:28:10,320 Speaker 1: rare that I see an opinion. I mean, this is 477 00:28:10,359 --> 00:28:13,159 Speaker 1: a woman who a few weeks ago, was saying every 478 00:28:13,240 --> 00:28:16,760 Speaker 1: kid needs to be mandatory vaccinated, you need to have 479 00:28:16,920 --> 00:28:20,920 Speaker 1: domestic travel restrictions for the unvaccinated, you need to have 480 00:28:21,320 --> 00:28:26,160 Speaker 1: medical grade masks on every kid in school. And suddenly 481 00:28:26,240 --> 00:28:28,800 Speaker 1: she said all of that can go away. This should 482 00:28:28,800 --> 00:28:33,359 Speaker 1: be a parental decision. And it's as if what she 483 00:28:33,480 --> 00:28:37,880 Speaker 1: said before never existed. And this is where I think 484 00:28:37,880 --> 00:28:40,360 Speaker 1: we need to keep hammering this for everybody out there. No, 485 00:28:41,080 --> 00:28:44,840 Speaker 1: you can't suddenly just pivot and change everything that you've 486 00:28:44,880 --> 00:28:47,160 Speaker 1: been arguing for two years. And the crazy thing is, 487 00:28:47,400 --> 00:28:50,440 Speaker 1: did you see what Lena Wynn tweeted? I mean, this 488 00:28:50,720 --> 00:28:55,760 Speaker 1: is this is wild Buck. She said before there were 489 00:28:55,760 --> 00:28:59,600 Speaker 1: two camps four and against pandemic restrictions. This is just 490 00:28:59,640 --> 00:29:04,200 Speaker 1: what she weed yesterday. Now there's a third pro restrictions earlier. 491 00:29:04,280 --> 00:29:07,880 Speaker 1: But recognizing it's a different time now, this group wants 492 00:29:07,920 --> 00:29:13,240 Speaker 1: to move on from vitriol and divisiveness to nuance and compromise. 493 00:29:13,600 --> 00:29:17,640 Speaker 1: This is her Washington Post opinion piece. I'm saying, wait 494 00:29:17,680 --> 00:29:21,160 Speaker 1: a minute, we have been the nuanced group, Buck, You 495 00:29:21,240 --> 00:29:25,040 Speaker 1: and I have been arguing, look at the data for years. 496 00:29:25,440 --> 00:29:28,160 Speaker 1: Address elderly people. We say this on the show, how 497 00:29:28,200 --> 00:29:31,920 Speaker 1: many times we told our own parents, get the COVID shot, 498 00:29:32,000 --> 00:29:35,160 Speaker 1: get the booster. You're over seventy five years old. We're 499 00:29:35,200 --> 00:29:38,320 Speaker 1: telling our audience out there, Hey, if you're morbidly obese 500 00:29:38,560 --> 00:29:42,960 Speaker 1: like Stacy Abrams, you probably should get the COVID shot. Right. 501 00:29:43,240 --> 00:29:46,080 Speaker 1: If you are in ill health, you probably should get it. 502 00:29:46,560 --> 00:29:49,000 Speaker 1: But my seven year old doesn't need to be treated 503 00:29:49,040 --> 00:29:52,400 Speaker 1: the same as my seventy five plus year old parents. 504 00:29:52,840 --> 00:29:55,920 Speaker 1: This is a different world, That's what we've been arguing. 505 00:29:55,960 --> 00:29:58,400 Speaker 1: And all of a sudden, these scientists can't say, oh, 506 00:29:58,440 --> 00:30:01,520 Speaker 1: we're the nuanced group. No, no, you were wrong. We 507 00:30:01,520 --> 00:30:04,480 Speaker 1: were right, and there need to be consequences politically for 508 00:30:04,720 --> 00:30:07,960 Speaker 1: your wrongness. And the one place where they're really digging 509 00:30:07,960 --> 00:30:10,960 Speaker 1: in still is one of the areas where they have 510 00:30:11,280 --> 00:30:15,080 Speaker 1: the least data to support them, but where clearly there's 511 00:30:15,400 --> 00:30:18,440 Speaker 1: an emotional component of this, and that's on the situation 512 00:30:18,440 --> 00:30:20,440 Speaker 1: of kids. Why are we sitting here talking even I'm 513 00:30:20,440 --> 00:30:22,920 Speaker 1: obvious I don't even have kids. Clay's got school aged childrens. 514 00:30:22,920 --> 00:30:26,040 Speaker 1: This affects him more directly than it does me. Why 515 00:30:26,080 --> 00:30:29,640 Speaker 1: are we sitting here trying to fight that fight? Because 516 00:30:29,960 --> 00:30:32,400 Speaker 1: they're now claiming that they're going to continue with the 517 00:30:32,440 --> 00:30:35,360 Speaker 1: masking of children in New York at least for weeks, 518 00:30:35,360 --> 00:30:38,560 Speaker 1: if not months, until they can get the higher level 519 00:30:38,600 --> 00:30:41,640 Speaker 1: of vaccination. This is now. Now they're acting like we 520 00:30:41,720 --> 00:30:44,760 Speaker 1: got to get all the kids vaccinated, and that's the issue. 521 00:30:45,000 --> 00:30:47,920 Speaker 1: They are neurotics and they are hysterical. This is the 522 00:30:48,000 --> 00:30:51,800 Speaker 1: problem we're facing now, and they're sacrificing children because they're 523 00:30:51,840 --> 00:30:56,440 Speaker 1: not in a position to say, hey, adults, stop being crazy. 524 00:30:56,680 --> 00:31:00,520 Speaker 1: And they have really trained themselves, I mean psychologicallyotionally. The 525 00:31:00,560 --> 00:31:06,120 Speaker 1: Democrat Party has viewed this entire COVID restriction regime as 526 00:31:06,160 --> 00:31:08,080 Speaker 1: a function of whether or not they're good people. I mean, 527 00:31:08,120 --> 00:31:12,360 Speaker 1: you still have James Carville, for example, Remember how I 528 00:31:12,360 --> 00:31:14,920 Speaker 1: said to you this is all about creating. We talked 529 00:31:14,960 --> 00:31:18,000 Speaker 1: about this yesterday and everybody, I think knows what I'm 530 00:31:18,000 --> 00:31:21,160 Speaker 1: about to say about how when everything started to fail, 531 00:31:21,240 --> 00:31:24,640 Speaker 1: clay to fill that emotional hole that people had from 532 00:31:24,760 --> 00:31:26,920 Speaker 1: all the fear and everything else. They didn't turn on 533 00:31:26,960 --> 00:31:30,920 Speaker 1: the government. They turned on the unvaccinated. Here's James Carville 534 00:31:31,000 --> 00:31:33,440 Speaker 1: saying he wants to punch him in the face. I 535 00:31:33,440 --> 00:31:36,520 Speaker 1: wish you'd do is pass a lot to make you 536 00:31:36,640 --> 00:31:41,120 Speaker 1: immune from liability. If you punch some acts unvaccinated person 537 00:31:41,240 --> 00:31:43,280 Speaker 1: right in the faces, which I'd really like to do 538 00:31:43,880 --> 00:31:46,000 Speaker 1: if you ask me, when you know, what's my first 539 00:31:46,040 --> 00:31:50,320 Speaker 1: reaction to you if you you're not vaccinating in as 540 00:31:50,520 --> 00:31:53,280 Speaker 1: you don't have any medical reason not to be your peace. 541 00:31:54,800 --> 00:31:57,080 Speaker 1: I mean, I would tell James you know you right, 542 00:31:58,200 --> 00:32:00,160 Speaker 1: he wants to punch me right in the face. What 543 00:32:00,240 --> 00:32:02,480 Speaker 1: he's saying, I'm unvaccinated. By the way, I think I 544 00:32:02,560 --> 00:32:04,680 Speaker 1: like my chances. I was gonna say, give it a shot. 545 00:32:05,680 --> 00:32:07,560 Speaker 1: Now I've got him. I've got him by like thirty 546 00:32:07,640 --> 00:32:10,320 Speaker 1: years and probably thirty pounds, so it's not exactly a 547 00:32:10,360 --> 00:32:12,480 Speaker 1: fair fight. It's kind of like when you're a girl 548 00:32:13,000 --> 00:32:15,040 Speaker 1: and you're having to swim against boys, which is what's 549 00:32:15,080 --> 00:32:16,800 Speaker 1: going on in the IVY League. That's why we have 550 00:32:16,840 --> 00:32:19,440 Speaker 1: weight classes for boxing. But I think I would take 551 00:32:19,480 --> 00:32:22,600 Speaker 1: James Carville. And I actually at times think James Carvill 552 00:32:22,640 --> 00:32:24,680 Speaker 1: is really entertaining to me. This is a sign that 553 00:32:24,720 --> 00:32:27,480 Speaker 1: he doesn't know what the date is right, because if 554 00:32:27,520 --> 00:32:29,360 Speaker 1: he there are a lot of people out there of 555 00:32:29,400 --> 00:32:33,120 Speaker 1: the James Carville Ill coord Democrats that convinced themselves that 556 00:32:33,200 --> 00:32:36,000 Speaker 1: they did everything right and the only reason COVID still 557 00:32:36,040 --> 00:32:40,360 Speaker 1: exists is because people are unvaccinated. That's not remotely true. 558 00:32:40,400 --> 00:32:43,320 Speaker 1: That's not what the data shows. I think the primary reason, now, 559 00:32:43,320 --> 00:32:44,640 Speaker 1: there are a lot of reasons there are still people, 560 00:32:44,640 --> 00:32:46,640 Speaker 1: I mean Clay walking around New York City. There are 561 00:32:46,680 --> 00:32:49,720 Speaker 1: double maskers outside right now, I mean still Yeah, I'm 562 00:32:49,760 --> 00:32:52,800 Speaker 1: walking into the studio. I see double maskers outside. Also 563 00:32:52,800 --> 00:32:55,240 Speaker 1: saw an MYPD detective who came over Flash's badge that 564 00:32:55,280 --> 00:32:57,920 Speaker 1: I love what you and Claire doing. Stead I five 565 00:32:57,960 --> 00:33:00,239 Speaker 1: to that guy, Well, I appreciate him. Maybe you can 566 00:33:00,280 --> 00:33:02,280 Speaker 1: help me sneak into a restaurant whenever I'm back in 567 00:33:02,280 --> 00:33:04,240 Speaker 1: New York City. I think m YPD would have us 568 00:33:04,240 --> 00:33:07,880 Speaker 1: covered here. But anyway, yeah, uh. The reality I think 569 00:33:08,160 --> 00:33:11,240 Speaker 1: is that there are there's now that the primary motive 570 00:33:11,280 --> 00:33:16,320 Speaker 1: for the apparatus is to maintain control of the descent 571 00:33:16,920 --> 00:33:19,120 Speaker 1: and to always have in the background. You know, they're 572 00:33:19,160 --> 00:33:21,720 Speaker 1: gonna they're gonna loosen the leash Clay, but they're not 573 00:33:21,720 --> 00:33:23,840 Speaker 1: gonna take the leash off of us. That's that's one 574 00:33:23,880 --> 00:33:26,920 Speaker 1: aspect of it. And then for the people, the mass 575 00:33:27,360 --> 00:33:31,880 Speaker 1: of those who have suffered from mass formation psychosis, and 576 00:33:32,080 --> 00:33:34,080 Speaker 1: I love that term because it sets them into it 577 00:33:34,400 --> 00:33:37,600 Speaker 1: sets them off into fits of rage. Their biggest thing is, 578 00:33:38,480 --> 00:33:41,520 Speaker 1: we can't have been wrong this whole time, those stupid 579 00:33:41,560 --> 00:33:45,920 Speaker 1: Trump voters can't have been right. There's a huge ego 580 00:33:46,000 --> 00:33:48,960 Speaker 1: component of this, where they just you keep saying that 581 00:33:49,000 --> 00:33:51,600 Speaker 1: the data, the data clay. There are people now who 582 00:33:51,600 --> 00:33:53,880 Speaker 1: will look at the most obvious and clear data. They'll 583 00:33:53,880 --> 00:33:57,240 Speaker 1: look at what is it Williamson County versus Davidson County 584 00:33:58,160 --> 00:34:00,840 Speaker 1: side by side, and they'll say, I don't care. It 585 00:34:00,920 --> 00:34:03,360 Speaker 1: doesn't Then the numbers don't matter to them anymore. Those 586 00:34:03,400 --> 00:34:09,400 Speaker 1: anti maskers, trumpers, anti vacs, mandate people, they're the bad 587 00:34:09,440 --> 00:34:11,839 Speaker 1: people play. They should get punched in the face. They 588 00:34:11,880 --> 00:34:14,719 Speaker 1: can't be right. We're here to tell all those folks, no, 589 00:34:14,880 --> 00:34:17,759 Speaker 1: you were right on the other side, the Libs, the 590 00:34:17,800 --> 00:34:23,799 Speaker 1: Fauchiites were wrong, big w wrong. And here's the other 591 00:34:23,840 --> 00:34:27,520 Speaker 1: thing I think is worth mentioning. Even as democratic governors 592 00:34:27,520 --> 00:34:30,400 Speaker 1: in places like Connecticut, New Jersey, Delaware, and even in 593 00:34:30,440 --> 00:34:34,280 Speaker 1: New York buck with Kathy Hokel start to walk back 594 00:34:34,360 --> 00:34:38,279 Speaker 1: their restrictions, it's important to recognize the governors can walk 595 00:34:38,320 --> 00:34:42,120 Speaker 1: back their restrictions, but the cities and the local school 596 00:34:42,120 --> 00:34:45,879 Speaker 1: districts where many kids are attending schools still are not 597 00:34:46,040 --> 00:34:48,719 Speaker 1: walking back simultaneously. Right, So I think this is a 598 00:34:48,760 --> 00:34:51,279 Speaker 1: little bit of a bait and switch because we know 599 00:34:51,320 --> 00:34:55,240 Speaker 1: that the media, many people who cover certainly left wing politics, 600 00:34:55,239 --> 00:34:57,959 Speaker 1: are not very smart and they're also biased. But Buck, 601 00:34:58,000 --> 00:35:01,200 Speaker 1: I don't want us to overlook just because a governor 602 00:35:01,480 --> 00:35:05,840 Speaker 1: walks back a restriction statewide doesn't mean that the vast 603 00:35:05,920 --> 00:35:09,200 Speaker 1: majority of kids in a state still could not be 604 00:35:09,280 --> 00:35:11,640 Speaker 1: mandated to continue to have to wear masks. And I 605 00:35:11,680 --> 00:35:14,799 Speaker 1: think some of our people out there listening may not 606 00:35:15,040 --> 00:35:17,959 Speaker 1: understand that. And I think it's going to create even 607 00:35:18,040 --> 00:35:21,120 Speaker 1: more tension and even more conflict at a school board 608 00:35:21,160 --> 00:35:23,560 Speaker 1: because this is like what's going on in Virginia. The 609 00:35:23,600 --> 00:35:25,799 Speaker 1: woman that we had on yesterday, she said, wait, I 610 00:35:25,880 --> 00:35:28,719 Speaker 1: was told if the governor didn't have this restriction that 611 00:35:28,840 --> 00:35:32,120 Speaker 1: mask mandates would disappear, Mary Ann Jensen, who came on 612 00:35:32,200 --> 00:35:35,600 Speaker 1: with us yesterday. But the reality is these local school 613 00:35:35,600 --> 00:35:39,520 Speaker 1: boards and these dictatorial mayors can still have power over 614 00:35:39,600 --> 00:35:41,920 Speaker 1: whether or not your kids are required to wear masks. 615 00:35:42,440 --> 00:35:45,680 Speaker 1: The lesson of what we're seeing right now, for me, 616 00:35:46,600 --> 00:35:48,799 Speaker 1: and I think for anyone who's paying attention to this 617 00:35:48,920 --> 00:35:53,560 Speaker 1: Clay is that the science didn't change, the politics changed. 618 00:35:53,920 --> 00:35:57,120 Speaker 1: That's not just treveryone's saying that now and it's accurate, 619 00:35:57,560 --> 00:36:00,279 Speaker 1: But that's not just about what's going on now. That 620 00:36:00,320 --> 00:36:02,520 Speaker 1: has been the case the whole time. They have been 621 00:36:02,560 --> 00:36:06,960 Speaker 1: making policy and judgment calls under the rubric of the science, 622 00:36:07,400 --> 00:36:11,239 Speaker 1: when it was really the politics. That's been true the 623 00:36:11,440 --> 00:36:14,320 Speaker 1: entirety of the pandemic really from the beginning, and I 624 00:36:14,600 --> 00:36:17,399 Speaker 1: would even argue going back into the Trump administration, there 625 00:36:17,400 --> 00:36:19,960 Speaker 1: were a lot of politics involved in went what lockdowns 626 00:36:19,960 --> 00:36:23,640 Speaker 1: when remember Cuomo and Fauci and early on they made 627 00:36:23,640 --> 00:36:26,880 Speaker 1: this political right. Trump wasn't listening to the science, and up, 628 00:36:26,920 --> 00:36:29,000 Speaker 1: I think you can listened to quote the science as 629 00:36:29,000 --> 00:36:31,799 Speaker 1: in Fauci too much. This has been the case the 630 00:36:31,840 --> 00:36:33,799 Speaker 1: whole time. And everyone who looks back, I think I 631 00:36:33,800 --> 00:36:36,920 Speaker 1: think they realize and they see that. And if they 632 00:36:36,920 --> 00:36:39,080 Speaker 1: haven't seen that, they should see the Stacey Abrams photos 633 00:36:39,080 --> 00:36:41,160 Speaker 1: of her on mass yesterday, which we should talk about 634 00:36:41,200 --> 00:36:44,880 Speaker 1: because now she's had to apologize Clay in twenty four hours. 635 00:36:45,080 --> 00:36:49,040 Speaker 1: We've gone from but it's Black History Month too. Yeah, 636 00:36:49,080 --> 00:36:52,040 Speaker 1: I'm sorry. I'm just a big liar, a big liar. 637 00:36:52,280 --> 00:36:54,319 Speaker 1: She still is lying. No buck and I want to 638 00:36:54,320 --> 00:36:57,760 Speaker 1: talk about that when we come back. Because the photos 639 00:36:57,760 --> 00:36:59,080 Speaker 1: that we have up at OutKick and you can go 640 00:36:59,160 --> 00:37:01,359 Speaker 1: check them out if you go OutKick dot com. She 641 00:37:01,360 --> 00:37:03,239 Speaker 1: said she just took her mask off to read to 642 00:37:03,280 --> 00:37:05,080 Speaker 1: the kids for a short period of time and to 643 00:37:05,080 --> 00:37:07,279 Speaker 1: take that photo because it was We will play the 644 00:37:07,280 --> 00:37:10,239 Speaker 1: audio for you, but no pushback from CNN to the 645 00:37:10,239 --> 00:37:13,279 Speaker 1: fact that she's lying and there's clear photographic evidence of 646 00:37:13,320 --> 00:37:16,160 Speaker 1: her lies. If you're a homeowner, there's still time to 647 00:37:16,239 --> 00:37:18,720 Speaker 1: save yourself an extra five hundred to one thousand dollars 648 00:37:18,760 --> 00:37:21,879 Speaker 1: a month. We're talking about refinancing your mortgage. We're still 649 00:37:21,960 --> 00:37:24,279 Speaker 1: seeing some incredibly low rates. It makes it worth your 650 00:37:24,320 --> 00:37:28,160 Speaker 1: while to call American Financing. 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You don't want to give 656 00:37:40,320 --> 00:37:43,319 Speaker 1: money away to the bank, right Give American Financing a call. 657 00:37:43,680 --> 00:37:45,239 Speaker 1: If you start now, you may be able to close 658 00:37:45,280 --> 00:37:47,840 Speaker 1: in as fast as ten days and you could skip 659 00:37:47,920 --> 00:37:51,520 Speaker 1: get this, you could skip two mortgage payments, creating greater 660 00:37:51,640 --> 00:37:53,960 Speaker 1: upfront savings when you could really use the cash. I 661 00:37:54,120 --> 00:37:57,880 Speaker 1: just closed Alan with American Financing. Their customer service is amazing. 662 00:37:57,960 --> 00:38:00,120 Speaker 1: I got a great rate and I know my own 663 00:38:00,160 --> 00:38:03,359 Speaker 1: as being serviced by the best call American Financing at 664 00:38:03,360 --> 00:38:06,359 Speaker 1: eight hundred seven seven seven eighty one O nine. That's 665 00:38:06,400 --> 00:38:09,719 Speaker 1: eight hundred seven seven seven eighty one oh nine. Or 666 00:38:09,800 --> 00:38:13,000 Speaker 1: visit American Financing dot net MS one eight two three 667 00:38:13,120 --> 00:38:21,440 Speaker 1: three four mls consumer access dot org. Welcome back in 668 00:38:21,719 --> 00:38:26,000 Speaker 1: Clay Travis buck Sexton show. Appreciade all of you hanging 669 00:38:26,000 --> 00:38:29,000 Speaker 1: out with us. You know, we used to look to 670 00:38:29,120 --> 00:38:32,799 Speaker 1: Europe in the early days of COVID as a sort 671 00:38:32,840 --> 00:38:36,560 Speaker 1: of guide post for what might be coming or what 672 00:38:36,680 --> 00:38:40,280 Speaker 1: we should do. And I don't know, maybe the caller 673 00:38:40,360 --> 00:38:43,040 Speaker 1: we had earlier in the second hour to finish the 674 00:38:43,080 --> 00:38:46,840 Speaker 1: show was right Buck. Maybe Joe Biden is going to 675 00:38:46,920 --> 00:38:49,880 Speaker 1: go for a grand pronouncement at his State of the 676 00:38:50,000 --> 00:38:54,560 Speaker 1: Union address, which is suspiciously late, and as we get 677 00:38:54,560 --> 00:38:57,440 Speaker 1: close to the spring, usually the State of the Union 678 00:38:57,520 --> 00:39:00,960 Speaker 1: is in January, and now it is pushed all the 679 00:39:01,000 --> 00:39:04,080 Speaker 1: way back to March, and so maybe Joe Biden is 680 00:39:04,120 --> 00:39:07,840 Speaker 1: going to make some grand pronouncement about COVID at that 681 00:39:07,920 --> 00:39:11,439 Speaker 1: point in time. But listen to what Boris Johnson has 682 00:39:11,520 --> 00:39:15,400 Speaker 1: done now in England. Obviously, Boris Johnson under fire for 683 00:39:15,480 --> 00:39:21,040 Speaker 1: a variety of parties for not necessarily following his government 684 00:39:21,120 --> 00:39:23,920 Speaker 1: following the restrictions that he put in place for other people. 685 00:39:24,840 --> 00:39:27,560 Speaker 1: But listen to what's happening right now in England. And 686 00:39:27,600 --> 00:39:31,440 Speaker 1: this is also, by the way, happening in Ireland, Denmark, Finland, 687 00:39:31,680 --> 00:39:36,080 Speaker 1: Sweden and many other European countries where they're effectively saying, hey, 688 00:39:36,480 --> 00:39:39,480 Speaker 1: COVID is over here, no more restrictions at all. That's 689 00:39:39,480 --> 00:39:42,319 Speaker 1: what England is doing. Listen, missus peak. I can tell 690 00:39:42,360 --> 00:39:45,040 Speaker 1: the House today that it is my intention to return 691 00:39:45,120 --> 00:39:47,960 Speaker 1: on the first day after the halftime recess to present 692 00:39:48,000 --> 00:39:54,000 Speaker 1: our strategy for living with COVID. Provided the current encouraging 693 00:39:54,080 --> 00:39:57,399 Speaker 1: trends in the data to continue, it is my expectation 694 00:39:57,440 --> 00:40:01,040 Speaker 1: that we will be able to end the lust to restrictions, 695 00:40:01,480 --> 00:40:04,479 Speaker 1: including the legal requirement to self isolate if you test 696 00:40:04,520 --> 00:40:09,520 Speaker 1: positive a full month earlier. Ah, it's kind of a 697 00:40:09,520 --> 00:40:12,600 Speaker 1: big deal. Kind of a big deal. Clay. It's interesting 698 00:40:12,640 --> 00:40:17,480 Speaker 1: how these other countries have also been much more willing 699 00:40:17,560 --> 00:40:22,279 Speaker 1: to release children from the grips of their mask and 700 00:40:22,480 --> 00:40:27,520 Speaker 1: otherwise COVID lockdown induced hysteria. And this needs to be 701 00:40:27,600 --> 00:40:30,239 Speaker 1: happening all over the place. Look, it's all it's all 702 00:40:30,280 --> 00:40:34,960 Speaker 1: coming here too, because the virus is receding very rapidly 703 00:40:35,120 --> 00:40:37,719 Speaker 1: right now. It's down. The fourteen day change according to 704 00:40:37,719 --> 00:40:40,319 Speaker 1: the New York Times website, which is just CDC data 705 00:40:40,360 --> 00:40:44,240 Speaker 1: reflected through the Times website, is down sixty three percent 706 00:40:44,360 --> 00:40:46,920 Speaker 1: in two weeks. Okay, the virus is cratering. What'll be 707 00:40:47,000 --> 00:40:49,400 Speaker 1: what's fascinating is, as you see in an analysis of it, 708 00:40:49,400 --> 00:40:52,200 Speaker 1: it'll be the same mask, no mask, you know, different 709 00:40:52,200 --> 00:40:54,200 Speaker 1: areas of the country that are near each other, whether 710 00:40:54,239 --> 00:40:56,839 Speaker 1: these policies are in place or not. It's just coming 711 00:40:56,840 --> 00:41:00,720 Speaker 1: down everywhere because we're past the respiratory virus season peak. 712 00:41:01,200 --> 00:41:03,600 Speaker 1: Just like last year. Isn't an amazing play. Just like 713 00:41:03,680 --> 00:41:06,080 Speaker 1: last year in the middle of January lit January worst 714 00:41:06,080 --> 00:41:09,879 Speaker 1: COVID case numbers This year, same thing despite the vaccinations, 715 00:41:09,880 --> 00:41:12,400 Speaker 1: and be very same in the depths right now the 716 00:41:12,440 --> 00:41:15,560 Speaker 1: fourteen day change on that is, deaths are actually up 717 00:41:15,640 --> 00:41:18,080 Speaker 1: nine percent. Now, that's because deaths are a lagging indicator. 718 00:41:18,360 --> 00:41:22,800 Speaker 1: Also people also people often spend you know, a week, 719 00:41:22,960 --> 00:41:27,280 Speaker 1: ten days in the hospital fighting COVID and then sometimes 720 00:41:27,320 --> 00:41:32,359 Speaker 1: obviously tragically unsuccessfully. But twenty five hundred deaths a day 721 00:41:32,480 --> 00:41:35,280 Speaker 1: is what they're counting right now. That's a lot of people, 722 00:41:35,840 --> 00:41:40,239 Speaker 1: considering what we've been told about the incredible efficacy of 723 00:41:40,360 --> 00:41:43,960 Speaker 1: the of the vaccine against hospitalization and death. I know 724 00:41:44,040 --> 00:41:48,400 Speaker 1: they had been saying it was ninety nine percent unvaccinated people. 725 00:41:48,840 --> 00:41:52,600 Speaker 1: You're going to see that number folks drop and drop 726 00:41:52,920 --> 00:41:56,360 Speaker 1: and drop. In fact, it's kind of vanished that argument. 727 00:41:56,440 --> 00:41:59,879 Speaker 1: Remember that we started off the Winner with Joe bay 728 00:42:00,000 --> 00:42:01,920 Speaker 1: In putting out the official statement that it was going 729 00:42:01,960 --> 00:42:05,279 Speaker 1: to be a winter of death for the unvaccinated. You've 730 00:42:05,320 --> 00:42:08,800 Speaker 1: really even started to see the White House back away 731 00:42:08,840 --> 00:42:11,759 Speaker 1: from the argument that this is a pandemic of the 732 00:42:11,760 --> 00:42:14,759 Speaker 1: the unvaccinated, because the data, at least if you'd look 733 00:42:14,800 --> 00:42:17,800 Speaker 1: at Israel, which is far more reliable than the data 734 00:42:17,840 --> 00:42:21,239 Speaker 1: that we have here, reflects as a Alex Barnson told 735 00:42:21,280 --> 00:42:25,520 Speaker 1: us last week that the COVID shot, the COVID vaccine, 736 00:42:25,560 --> 00:42:27,640 Speaker 1: whatever you want to call it, which is making Feiser. 737 00:42:27,800 --> 00:42:30,800 Speaker 1: By the way, fifty billion dollars kind of a monster 738 00:42:30,960 --> 00:42:35,160 Speaker 1: deal that we have mandated a for profit corporation's product 739 00:42:35,200 --> 00:42:39,640 Speaker 1: to be used by almost everyone in the United States 740 00:42:39,640 --> 00:42:42,000 Speaker 1: on some level, and that they're going to end up 741 00:42:42,040 --> 00:42:44,080 Speaker 1: making fifty billion dollars buck. And oh, by the way, 742 00:42:44,120 --> 00:42:48,200 Speaker 1: remember they also have protection against any lawsuits. So that's 743 00:42:48,200 --> 00:42:50,279 Speaker 1: a pretty good business to be in if you are 744 00:42:50,400 --> 00:42:54,200 Speaker 1: in the drug business, to be able to get hooked 745 00:42:54,280 --> 00:42:57,640 Speaker 1: up like that. And so it is going to be 746 00:42:58,600 --> 00:43:01,919 Speaker 1: pretty wild to see how this continues to shake out. 747 00:43:01,960 --> 00:43:07,000 Speaker 1: But again England, Ireland, Denmark, Finland, Sweden among other countries 748 00:43:07,280 --> 00:43:11,319 Speaker 1: effectively saying COVID is over, we are ending all restrictions. 749 00:43:11,520 --> 00:43:14,839 Speaker 1: And I gotta say, I feel like Biden may try 750 00:43:14,880 --> 00:43:18,040 Speaker 1: to make a grand pronouncement at the State of the 751 00:43:18,160 --> 00:43:20,359 Speaker 1: Union as we get close to the spring and Buck. 752 00:43:20,400 --> 00:43:23,480 Speaker 1: We predicted on this show right around January fourteenth or 753 00:43:23,560 --> 00:43:25,760 Speaker 1: January fifteenth was going to be the peak in cases. 754 00:43:26,120 --> 00:43:28,319 Speaker 1: We nailed that, and then we said, hey, you know 755 00:43:28,560 --> 00:43:31,960 Speaker 1: this trails by three or four weeks the overall death 756 00:43:32,040 --> 00:43:34,560 Speaker 1: rate before it starts to come down. Now, remember a 757 00:43:34,560 --> 00:43:37,480 Speaker 1: lot of these people who are dying are dying with 758 00:43:37,600 --> 00:43:40,800 Speaker 1: COVID not dying of COVID, so it got so common. 759 00:43:40,880 --> 00:43:44,080 Speaker 1: Elmcron did that a lot of people are just testing positive. 760 00:43:44,080 --> 00:43:46,680 Speaker 1: And I think Berenson's point is a good one. That 761 00:43:46,760 --> 00:43:50,560 Speaker 1: many of the unvaccinated people are dying are so ill 762 00:43:51,040 --> 00:43:54,520 Speaker 1: that they're not actually being vaccinated at all because they 763 00:43:54,520 --> 00:43:58,000 Speaker 1: are not healthy enough, which is pretty significant. Also pretty 764 00:43:58,000 --> 00:44:01,160 Speaker 1: significant as we break down and continue to roll through 765 00:44:01,239 --> 00:44:04,360 Speaker 1: this program, how about Relief Factor making a big difference. 766 00:44:04,719 --> 00:44:07,839 Speaker 1: Sandra has been living in Minnesota and listening to us 767 00:44:07,840 --> 00:44:09,560 Speaker 1: for a long time. She says that it made a 768 00:44:09,600 --> 00:44:12,479 Speaker 1: big difference for her. Relief Factor one hundred percent drug 769 00:44:12,520 --> 00:44:15,760 Speaker 1: free product goes right to joint pain, knee, hip, neck, back, 770 00:44:15,840 --> 00:44:19,319 Speaker 1: and shoulder pain, created by doctors. Hundreds of thousands of 771 00:44:19,320 --> 00:44:22,040 Speaker 1: people have ordered in about seventy percent of them go 772 00:44:22,120 --> 00:44:24,920 Speaker 1: on to order more. You can join them. 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