1 00:00:00,360 --> 00:00:03,960 Speaker 1: This is the Buck Sexton Show podcast. Join the conversation 2 00:00:04,120 --> 00:00:08,280 Speaker 1: and message Buck on Facebook, Instagram, or email Team Bucket 3 00:00:08,400 --> 00:00:11,240 Speaker 1: iHeartMedia dot com. He may read it on the show. 4 00:00:11,360 --> 00:00:13,920 Speaker 1: It's good to say the truth starting to trickle out, 5 00:00:13,960 --> 00:00:17,640 Speaker 1: not just about the lab leake theory, but also about 6 00:00:17,840 --> 00:00:25,560 Speaker 1: doctor Fouci himself. A conniving, sniveling on the one hand, 7 00:00:25,720 --> 00:00:29,640 Speaker 1: on the other hand, both side of his mouth talking democrat. 8 00:00:30,920 --> 00:00:35,200 Speaker 1: That's who doctor Fouci is. That's what we've been subjected 9 00:00:35,240 --> 00:00:39,960 Speaker 1: to for over a year. And finally people understand why 10 00:00:40,080 --> 00:00:42,680 Speaker 1: I have found this guy to be such an odious 11 00:00:43,200 --> 00:00:46,960 Speaker 1: little lab coat tyrant. And the more we dig into 12 00:00:47,000 --> 00:00:50,960 Speaker 1: this and hear his babbling, nonsensical explanations, the more clear 13 00:00:51,000 --> 00:00:53,880 Speaker 1: it is. Some of us were right all along. We 14 00:00:53,960 --> 00:00:57,240 Speaker 1: knew who the doctor was. But I'll dive more into 15 00:00:57,280 --> 00:00:58,920 Speaker 1: this in a moment. I want to make sure that 16 00:00:58,960 --> 00:01:04,800 Speaker 1: you are protecting your online privacy because true online privacy 17 00:01:04,880 --> 00:01:07,399 Speaker 1: is actually a thing of the past. Now. Your online 18 00:01:07,480 --> 00:01:10,200 Speaker 1: data always seems to be under the magnifying class by 19 00:01:10,240 --> 00:01:13,040 Speaker 1: big tech. There's anxiety of not having control of your 20 00:01:13,080 --> 00:01:15,959 Speaker 1: online data while it's being manipulated and sold to advertisers. 21 00:01:16,319 --> 00:01:18,800 Speaker 1: But now there's a new way with the ultimate privacy 22 00:01:18,800 --> 00:01:23,520 Speaker 1: and cybersecurity communications tool in your hands. Introducing Secure in 23 00:01:23,520 --> 00:01:27,479 Speaker 1: instant messaging and email platform hosted in Switzerland, protecting your 24 00:01:27,600 --> 00:01:30,800 Speaker 1: data with the strictest privacy laws in the world. Secure 25 00:01:31,000 --> 00:01:36,119 Speaker 1: is spelled sek you are and uses proprietary encryption technologies, 26 00:01:36,160 --> 00:01:40,120 Speaker 1: an independent platform, and Swiss privacy laws to ensure complete 27 00:01:40,120 --> 00:01:44,080 Speaker 1: privacy and security of your data on desktop and in transit. 28 00:01:44,360 --> 00:01:47,520 Speaker 1: This is secure and private instant messaging and email. It 29 00:01:47,560 --> 00:01:51,680 Speaker 1: assures your conversations, messages and data are kept completely safe 30 00:01:51,680 --> 00:01:54,400 Speaker 1: and private. Secure does not mine your data and is 31 00:01:54,480 --> 00:01:58,160 Speaker 1: not subjected to the Cloud Act. Take back your freedom, 32 00:01:58,200 --> 00:02:02,560 Speaker 1: privacy and online secure with Secure by going to secure. 33 00:02:02,680 --> 00:02:06,720 Speaker 1: That's seku are dot com. Spelling is very important here 34 00:02:06,800 --> 00:02:11,679 Speaker 1: Secure se k you are dot com. Make sure you 35 00:02:11,760 --> 00:02:14,720 Speaker 1: use the coupon codebuck for one week free and twenty 36 00:02:14,720 --> 00:02:17,960 Speaker 1: five percent off. Use that coupon code buck Go to 37 00:02:18,080 --> 00:02:24,239 Speaker 1: secure sekure dot com. Regain your privacy online for your data, 38 00:02:24,280 --> 00:02:28,000 Speaker 1: for your emails. Is it because China is so opaque? 39 00:02:28,120 --> 00:02:31,440 Speaker 1: Is it because who was not sharing information? Why is 40 00:02:31,480 --> 00:02:35,000 Speaker 1: this so difficult? There are several reasons Willie Wi's difficult 41 00:02:35,080 --> 00:02:36,799 Speaker 1: I think one of the things is that we need 42 00:02:37,000 --> 00:02:41,239 Speaker 1: better access to all the information. I mean, it's obviously 43 00:02:41,680 --> 00:02:45,680 Speaker 1: in China's interest to find out exactly what it is, 44 00:02:46,080 --> 00:02:49,720 Speaker 1: and the is of the natural theory would be defined 45 00:02:49,840 --> 00:02:52,680 Speaker 1: that link, so you have to keep looking for it. 46 00:02:53,040 --> 00:02:57,799 Speaker 1: I mean, obviously you want openness and cooperation. One of 47 00:02:57,840 --> 00:03:01,360 Speaker 1: the ways you can get it is don't be accusatory. 48 00:03:01,919 --> 00:03:06,720 Speaker 1: Try to get both a forensic, a scientific and an 49 00:03:06,760 --> 00:03:11,400 Speaker 1: investigational approach. I think the accusatory part about it is 50 00:03:11,440 --> 00:03:14,280 Speaker 1: only going to get them to pull back even more. 51 00:03:14,720 --> 00:03:17,520 Speaker 1: We've got to do it in a combination of diplomacy, 52 00:03:18,000 --> 00:03:22,000 Speaker 1: scientific forensic investigation, and do it in a way that 53 00:03:22,120 --> 00:03:25,480 Speaker 1: the people of good faith, not who want to do blame, 54 00:03:25,919 --> 00:03:28,600 Speaker 1: but people in good faith are really trying to find 55 00:03:28,639 --> 00:03:32,440 Speaker 1: out what the origin is. Whoever seeing a lot of 56 00:03:32,720 --> 00:03:35,720 Speaker 1: you know, I didn't even want to describe it, a 57 00:03:35,760 --> 00:03:39,160 Speaker 1: lot of pointing of fingers and things like that. Keep 58 00:03:39,200 --> 00:03:43,200 Speaker 1: an open mind and go after the truth. Go after 59 00:03:43,240 --> 00:03:47,400 Speaker 1: the truth. He says, as if the Chinese Communist Party 60 00:03:47,920 --> 00:03:55,080 Speaker 1: could give a fauci about the truth. Give me a break, friends, 61 00:03:55,760 --> 00:04:03,480 Speaker 1: this is absurd, absurd, But he's a bureaucrat he's a democrat, 62 00:04:04,000 --> 00:04:07,880 Speaker 1: he's a collectivist, and he does not want people to 63 00:04:07,920 --> 00:04:11,640 Speaker 1: start asking questions. That's been the case all along. Don't 64 00:04:11,640 --> 00:04:13,920 Speaker 1: you see the pattern here, There's a very clear theme. 65 00:04:14,080 --> 00:04:19,240 Speaker 1: Doctor Anthony Fauci has no interest whatsoever in being questioned. 66 00:04:20,080 --> 00:04:24,360 Speaker 1: He is interested in giving pronouncements, and the moment anybody 67 00:04:24,360 --> 00:04:26,960 Speaker 1: has a second of doubt, he just falls back on 68 00:04:27,160 --> 00:04:32,880 Speaker 1: the science, as if that explains the whole situation, as 69 00:04:32,880 --> 00:04:36,919 Speaker 1: if there's no doubt in science. This whole process, the 70 00:04:37,000 --> 00:04:42,040 Speaker 1: scientific method, inquiry based upon fact and reason and experiment 71 00:04:42,080 --> 00:04:47,880 Speaker 1: and data, has been corrupted during this pandemic by bureaucrats 72 00:04:47,920 --> 00:04:52,320 Speaker 1: acting as monarchs, telling us what we can and cannot do, 73 00:04:52,400 --> 00:04:55,359 Speaker 1: where we can and can't go, who we can see, 74 00:04:55,520 --> 00:05:00,799 Speaker 1: how we can live, how we can breathe. And now 75 00:05:01,360 --> 00:05:07,719 Speaker 1: finally we're seeing yet another instance of how the Fauciites 76 00:05:08,839 --> 00:05:12,880 Speaker 1: were wrong, and worse than being wrong, they faked certainty 77 00:05:13,000 --> 00:05:18,240 Speaker 1: and lied lied to the public about the degree of 78 00:05:18,360 --> 00:05:23,800 Speaker 1: their knowledge and how right they were. Fauci won't criticize China. 79 00:05:23,920 --> 00:05:29,640 Speaker 1: Why because he's somebody who believes that the scientific community 80 00:05:29,760 --> 00:05:34,240 Speaker 1: is effectively a global government of source. The scientific community 81 00:05:35,160 --> 00:05:38,760 Speaker 1: has the say in this. They determine, not even your 82 00:05:38,760 --> 00:05:44,799 Speaker 1: own government determines. They determine the expert consensus what happens 83 00:05:44,880 --> 00:05:48,520 Speaker 1: in the midst of a global pandemic. And they are 84 00:05:48,600 --> 00:05:54,200 Speaker 1: beyond reproach. In fact, they are above criticism, because that's 85 00:05:54,240 --> 00:05:58,960 Speaker 1: how important they are, how right, how smart, brilliant, even 86 00:06:00,080 --> 00:06:03,200 Speaker 1: the fauciite consensus makers are. They were wrong on pretty 87 00:06:03,279 --> 00:06:07,920 Speaker 1: much everything, friends everything. They were wrong on masks, by 88 00:06:07,960 --> 00:06:10,280 Speaker 1: their own admission, because at least at first they said 89 00:06:10,320 --> 00:06:12,920 Speaker 1: masks are dumb and don't protect you. Cloth masks are 90 00:06:12,960 --> 00:06:16,040 Speaker 1: a joke, essentially, and then they changed on that. So 91 00:06:16,200 --> 00:06:18,800 Speaker 1: they were definitely wrong. It's just a question of how 92 00:06:18,800 --> 00:06:22,560 Speaker 1: many times they were wrong about school closures. They were 93 00:06:22,600 --> 00:06:26,000 Speaker 1: wrong about the effects of lockdowns. They were wrong about 94 00:06:26,000 --> 00:06:29,440 Speaker 1: expanding fourteen days to slow the spread to fourteen months, 95 00:06:29,440 --> 00:06:33,000 Speaker 1: basically to slow the spread. The whole thing was a debacle, 96 00:06:34,160 --> 00:06:37,720 Speaker 1: and the very origins of the story itself, as you see, 97 00:06:37,800 --> 00:06:43,000 Speaker 1: were rife with lies and fraud and the instinct to suppress, 98 00:06:43,760 --> 00:06:47,680 Speaker 1: to shut down free inquiry, and to pretend that this 99 00:06:47,880 --> 00:06:52,159 Speaker 1: was effectively a settled issue. They loved this notion of 100 00:06:52,200 --> 00:06:55,479 Speaker 1: the settled science. But what we see is that the 101 00:06:55,520 --> 00:07:00,320 Speaker 1: same apparatus of suppression that insisted the lab leak theory 102 00:07:00,440 --> 00:07:06,760 Speaker 1: was a conspiracy theory. Have spent over a year shutting 103 00:07:06,800 --> 00:07:12,000 Speaker 1: down honest debate about masks and lockdown effectiveness. What's the 104 00:07:12,080 --> 00:07:16,400 Speaker 1: lesson we take from this? Authoritarian censorship is a bad idea, 105 00:07:16,920 --> 00:07:23,360 Speaker 1: even when its proponents wear lab coats. It's essential. And 106 00:07:23,400 --> 00:07:26,480 Speaker 1: what we're also taking from this is that Faucci was 107 00:07:26,520 --> 00:07:31,840 Speaker 1: a bigger fraud as pandemic hero than Cuomo or Newsom 108 00:07:31,960 --> 00:07:35,080 Speaker 1: or any of the idiot Democrat governors who thought that 109 00:07:35,120 --> 00:07:38,360 Speaker 1: by basically telling you to lock yourself in a closet 110 00:07:38,360 --> 00:07:41,120 Speaker 1: and wrap five plastic bags around your head because of 111 00:07:41,160 --> 00:07:48,080 Speaker 1: the virus the science, they were heroes for that, but 112 00:07:48,200 --> 00:07:51,640 Speaker 1: we know that they're morons. Fauci was supposed to be 113 00:07:51,640 --> 00:07:56,400 Speaker 1: better than that. Give it time, everybody will see the truth, 114 00:07:56,800 --> 00:08:02,280 Speaker 1: though some will never accept it. Fauci is awful. Fauci 115 00:08:02,480 --> 00:08:08,400 Speaker 1: is the worst of all the people that abused the 116 00:08:08,440 --> 00:08:11,280 Speaker 1: public's mind. Of all the people that created mass panic 117 00:08:11,320 --> 00:08:19,680 Speaker 1: and anxiety, unnecessarily none none were as pervasive as the 118 00:08:19,800 --> 00:08:23,200 Speaker 1: constant presence on your TV screen, the constantly quoted in 119 00:08:23,200 --> 00:08:28,280 Speaker 1: the media, doctor Fauci. How many little lab code authoritarians 120 00:08:28,320 --> 00:08:31,400 Speaker 1: work at the NIH. How many work at the CDC 121 00:08:31,760 --> 00:08:34,320 Speaker 1: A lot? So why is it the only one you've 122 00:08:34,360 --> 00:08:36,600 Speaker 1: really heard of or the only one you've ever seen, 123 00:08:37,280 --> 00:08:42,640 Speaker 1: is this little Anthony Fauci character. Because he was elevated 124 00:08:42,640 --> 00:08:45,080 Speaker 1: into something much more than just a bureaucrat who's supposed 125 00:08:45,120 --> 00:08:49,840 Speaker 1: to be reporting on numbers and advising politicians. He became 126 00:08:49,960 --> 00:08:54,680 Speaker 1: a symbol, a symbol for the lockdowners, a saint of sorts, 127 00:08:54,679 --> 00:08:57,520 Speaker 1: although I'm sure that many of the people we're talking 128 00:08:57,520 --> 00:09:01,000 Speaker 1: about here object to the very notion of saints. He 129 00:09:01,160 --> 00:09:07,520 Speaker 1: was elevated as the great King of the Lockdowners. And 130 00:09:07,600 --> 00:09:11,480 Speaker 1: now we see that it was all a mess, a fraud. 131 00:09:13,240 --> 00:09:17,079 Speaker 1: These emails are exposing more and more of who doctor 132 00:09:17,120 --> 00:09:20,720 Speaker 1: Fauci really is, and now people are talking about a 133 00:09:20,840 --> 00:09:25,079 Speaker 1: cover up. Now you are seeing that there was gain 134 00:09:25,160 --> 00:09:29,480 Speaker 1: of function research being done, that this is a real thing, 135 00:09:29,640 --> 00:09:33,040 Speaker 1: that it's not a conspiracy theory, and that there were 136 00:09:33,120 --> 00:09:35,839 Speaker 1: only and this is according to a piece in Vanity Fair, 137 00:09:37,000 --> 00:09:42,440 Speaker 1: three places in the world, one I believe in Houston, 138 00:09:43,880 --> 00:09:50,120 Speaker 1: the Carolinas, and one in China, the Wuhan Institute of Virology. 139 00:09:50,160 --> 00:09:54,160 Speaker 1: That we're doing a kind of research on bat coronaviruses 140 00:09:55,360 --> 00:09:58,559 Speaker 1: that could have led to an outbreak. And we find 141 00:09:58,600 --> 00:10:01,199 Speaker 1: out that while in the early day of this pandemic, 142 00:10:01,600 --> 00:10:06,199 Speaker 1: we were told that it was a biosafety level four facility, 143 00:10:06,559 --> 00:10:10,119 Speaker 1: right the highest. In fact, the Wuhan Institute of Virology 144 00:10:10,280 --> 00:10:14,680 Speaker 1: had several wings that were about a dentist office level 145 00:10:15,000 --> 00:10:23,200 Speaker 1: of viral protection and viral safety protocols. Virus protocols. That's 146 00:10:23,240 --> 00:10:26,520 Speaker 1: important for us to know, isn't it. That's important for 147 00:10:26,640 --> 00:10:30,600 Speaker 1: us to see, And yet that information was hidden the 148 00:10:30,679 --> 00:10:35,600 Speaker 1: bureaucrats in the global health bureaucracy. These are really just 149 00:10:36,040 --> 00:10:39,719 Speaker 1: un people in lab coats. That really makes it clear, right, 150 00:10:39,760 --> 00:10:43,880 Speaker 1: these are un bureaucrats who work for you know, whether 151 00:10:43,880 --> 00:10:47,520 Speaker 1: it's the World Health Organization or even our own CDC. 152 00:10:48,800 --> 00:10:52,520 Speaker 1: They are collectivist bureaucrats, and they knew they had to 153 00:10:52,520 --> 00:10:56,520 Speaker 1: do a lot of what we call cya. The young 154 00:10:56,559 --> 00:10:58,160 Speaker 1: ones in the audience, you can ask your parents to 155 00:10:58,200 --> 00:10:59,719 Speaker 1: explain that one to you. I can't. I don't want 156 00:10:59,720 --> 00:11:04,120 Speaker 1: to say that one of the air CYA cover your something. 157 00:11:05,320 --> 00:11:08,120 Speaker 1: That's what they were doing make sure the public couldn't 158 00:11:08,160 --> 00:11:13,240 Speaker 1: figure out the real origins of this virus and to 159 00:11:13,360 --> 00:11:15,719 Speaker 1: think that it came from a bad and then there 160 00:11:15,720 --> 00:11:20,439 Speaker 1: was an intermediary species. Okay, maybe that's still true, but 161 00:11:20,480 --> 00:11:23,400 Speaker 1: they certainly did not know that to be true, and 162 00:11:23,440 --> 00:11:26,240 Speaker 1: they pretended they did because they didn't even want the 163 00:11:26,280 --> 00:11:31,640 Speaker 1: possibility to be out there that this came from research 164 00:11:31,760 --> 00:11:34,880 Speaker 1: that was funded in part by US dollars. If you 165 00:11:35,000 --> 00:11:38,439 Speaker 1: give money to the Wuhan Institute of Virology, you are 166 00:11:38,520 --> 00:11:43,240 Speaker 1: funding the Wuhan Institute. That money is going into the 167 00:11:43,320 --> 00:11:47,280 Speaker 1: pockets of the people making decisions there. It doesn't really 168 00:11:47,360 --> 00:11:51,040 Speaker 1: made matter. Money is fungible, right, it doesn't really matter 169 00:11:51,200 --> 00:11:53,679 Speaker 1: if you were funding directly that research or something else. 170 00:11:55,840 --> 00:11:59,440 Speaker 1: I would not give money to plan Parenthood, even though 171 00:11:59,480 --> 00:12:03,640 Speaker 1: they say that they send people for outsourced mamograms or something, right, 172 00:12:03,679 --> 00:12:06,199 Speaker 1: because I don't want to fund planned Parenthood. I think 173 00:12:06,200 --> 00:12:11,199 Speaker 1: it should be defunded. Whole other conversation. But they funded 174 00:12:11,200 --> 00:12:14,680 Speaker 1: the Wuhan Institute of Virology through a third party. US 175 00:12:14,760 --> 00:12:19,080 Speaker 1: dollars went to somebody, Peter Dajak, This guy very involved 176 00:12:19,120 --> 00:12:24,040 Speaker 1: in the early days of the messaging campaign around all this. 177 00:12:25,000 --> 00:12:27,640 Speaker 1: And it starts to stink to high heavens, friends, it 178 00:12:27,760 --> 00:12:34,000 Speaker 1: smells like cover up. It smells like information operation, not 179 00:12:34,080 --> 00:12:38,480 Speaker 1: just against the American people, against the world. Think of 180 00:12:38,480 --> 00:12:42,679 Speaker 1: what the implications are here, Yes, for the Chinese Communist Party, 181 00:12:42,760 --> 00:12:47,160 Speaker 1: but for the global scientific community, think about what this 182 00:12:47,200 --> 00:12:50,520 Speaker 1: would mean. A lot of people will go to pretty 183 00:12:50,520 --> 00:12:54,560 Speaker 1: extreme lengths to make sure that the truth about this 184 00:12:54,880 --> 00:12:57,640 Speaker 1: is whatever they want it to be. Our perception of 185 00:12:57,679 --> 00:13:01,480 Speaker 1: truth is whatever they decide it must be. Can't you 186 00:13:01,520 --> 00:13:05,520 Speaker 1: see how Fauci was doing just that in the early days. 187 00:13:06,760 --> 00:13:10,520 Speaker 1: The emails paint a disturbing picture, a disturbing picture of 188 00:13:10,559 --> 00:13:13,720 Speaker 1: doctor Fauchi from the very beginning, worrying that he had 189 00:13:13,760 --> 00:13:16,600 Speaker 1: been funding gain a function research and he knows it 190 00:13:16,640 --> 00:13:19,400 Speaker 1: to this day, but hasn't admitted. We have to get 191 00:13:19,679 --> 00:13:22,880 Speaker 1: Democrat counterparts that will actually use the committee hearings to 192 00:13:22,920 --> 00:13:26,440 Speaker 1: investigate this. But so far it's been such a partisan 193 00:13:26,600 --> 00:13:29,440 Speaker 1: support for doctor Fauchi that he can do no wrong. 194 00:13:29,800 --> 00:13:31,640 Speaker 1: But really there's a lot of evidence that he has 195 00:13:31,679 --> 00:13:34,360 Speaker 1: a great deal of conflict of interest and that if 196 00:13:34,360 --> 00:13:36,680 Speaker 1: it turns out this virus came from the Wuhan lab, 197 00:13:36,720 --> 00:13:38,920 Speaker 1: which it looks like it did, that there's a great 198 00:13:38,960 --> 00:13:41,400 Speaker 1: deal of culpability, and that he was a big supporter 199 00:13:41,440 --> 00:13:44,200 Speaker 1: of the funding. But he also was a big supporters 200 00:13:44,240 --> 00:13:47,199 Speaker 1: to this day of saying we can trust the Chinese 201 00:13:47,200 --> 00:13:49,880 Speaker 1: on this, we can trust the Chinese scientists, And I 202 00:13:49,880 --> 00:13:53,040 Speaker 1: think that's quite naive and really should preclude him from 203 00:13:53,080 --> 00:13:57,040 Speaker 1: the position that he's in. Senator rand Paul has been 204 00:13:57,280 --> 00:14:00,280 Speaker 1: correct time and again, and doctor Fauchi has been wrong 205 00:14:00,840 --> 00:14:04,559 Speaker 1: over and over again. That's the conclusion we should all 206 00:14:04,640 --> 00:14:08,160 Speaker 1: draw from what has happened over the course of this pandemic. 207 00:14:08,240 --> 00:14:13,360 Speaker 1: That's what the facts actually show us concern about gain 208 00:14:13,400 --> 00:14:16,440 Speaker 1: of function research funding. Now, I understand there will be 209 00:14:16,440 --> 00:14:20,320 Speaker 1: people who say, well, it was an accident. Even if 210 00:14:21,200 --> 00:14:24,760 Speaker 1: US taxpayer dollars were used at the Wuhan Institute of 211 00:14:24,840 --> 00:14:28,520 Speaker 1: Virology and specifically allowed for and it was only a 212 00:14:28,680 --> 00:14:31,280 Speaker 1: six hundred thousand dollars, but allowed for some greater degree 213 00:14:31,320 --> 00:14:34,800 Speaker 1: of gain of function research, They'll say, well, it was 214 00:14:34,840 --> 00:14:38,520 Speaker 1: an accident, And I'd point out, okay, would we have 215 00:14:38,720 --> 00:14:43,360 Speaker 1: listened to the global health bureaucracy about this? Would anybody 216 00:14:43,400 --> 00:14:46,520 Speaker 1: have wanted to hear a damn thing that the little 217 00:14:46,600 --> 00:14:50,960 Speaker 1: lab coat tyrant Fouci had to say, the stalinist smurf 218 00:14:51,640 --> 00:14:55,280 Speaker 1: of the NIH. Would anybody have wanted to listen to 219 00:14:55,320 --> 00:14:57,520 Speaker 1: a thing he had to say about this if we 220 00:14:57,600 --> 00:15:00,800 Speaker 1: had known that we were only dearly with the virus 221 00:15:00,880 --> 00:15:06,200 Speaker 1: in the first place because of global health community bureaucrat 222 00:15:06,320 --> 00:15:12,000 Speaker 1: collaboration funded in part by US taxpayer dollars. Think about this. 223 00:15:12,160 --> 00:15:15,240 Speaker 1: If Fauci appeared on TV every night where your mask, 224 00:15:16,160 --> 00:15:19,640 Speaker 1: I saw your groceries, you know we're gonna we're gonna 225 00:15:19,680 --> 00:15:22,640 Speaker 1: hit a surge and then a plateau, and then a 226 00:15:22,760 --> 00:15:27,600 Speaker 1: surge and then maybe another plateau. Would would you have 227 00:15:27,680 --> 00:15:29,960 Speaker 1: listened to this guy? Would you have wanted to hear 228 00:15:30,000 --> 00:15:33,000 Speaker 1: what he had to say at all? If you had 229 00:15:33,080 --> 00:15:39,360 Speaker 1: known that he and his bureaucracy were involved in funding 230 00:15:39,440 --> 00:15:42,520 Speaker 1: the kind of research that led to this outbreak in 231 00:15:42,560 --> 00:15:45,760 Speaker 1: the first place. I think the answers no, I think 232 00:15:45,800 --> 00:15:48,680 Speaker 1: we all would have been saying, what the heck is 233 00:15:48,720 --> 00:15:53,200 Speaker 1: going on here? And now you're gonna put yourself in 234 00:15:53,240 --> 00:15:56,680 Speaker 1: this high and mighty position of telling us, all all 235 00:15:56,720 --> 00:15:59,480 Speaker 1: of us in America, how to live our lives down 236 00:15:59,560 --> 00:16:03,080 Speaker 1: to my new details. Well, can you hug your relatives, 237 00:16:03,520 --> 00:16:07,280 Speaker 1: can you go out into a public playground. That's the 238 00:16:07,360 --> 00:16:10,400 Speaker 1: kind of stuff that the faucciites were making determinations about 239 00:16:11,200 --> 00:16:15,760 Speaker 1: and yet the very beginnings of this virus, not only 240 00:16:15,840 --> 00:16:17,360 Speaker 1: were they trying to hide it from us, but they 241 00:16:17,400 --> 00:16:22,000 Speaker 1: also may have been covering up some degree of complicity 242 00:16:22,040 --> 00:16:24,840 Speaker 1: in the outbreak in the first place. That is stunning, 243 00:16:24,920 --> 00:16:28,600 Speaker 1: isn't it. Well, it's stunning to normal people, to people 244 00:16:28,640 --> 00:16:31,720 Speaker 1: that think that wearing three masks while they go jogging alone, 245 00:16:31,840 --> 00:16:36,760 Speaker 1: even after being vaccinated, is a mark of intelligence instead 246 00:16:36,760 --> 00:16:40,840 Speaker 1: of the exact opposite of that. Faucci is someone that 247 00:16:40,880 --> 00:16:44,200 Speaker 1: they will They'll never give up that he was great. 248 00:16:44,880 --> 00:16:49,960 Speaker 1: They'll never admit that this guy was a fraud, because 249 00:16:50,000 --> 00:16:52,440 Speaker 1: what would that say about their judgment? I mean, what 250 00:16:52,480 --> 00:16:57,640 Speaker 1: would it say about Nicole Wallace's intelligence Over at MSNBC, Well, 251 00:16:58,480 --> 00:17:01,320 Speaker 1: does anybody really have any questions about that? Here's what 252 00:17:01,440 --> 00:17:05,560 Speaker 1: she says about doctor Fauci's emails. Here's her take on it, 253 00:17:05,640 --> 00:17:08,000 Speaker 1: play ten. And that's what I was trying to do, 254 00:17:08,160 --> 00:17:11,159 Speaker 1: is to always tell the truth on the basis of 255 00:17:11,240 --> 00:17:15,440 Speaker 1: what the data is. And it was never deliberately something 256 00:17:15,480 --> 00:17:19,280 Speaker 1: against the president. In fact, he spoke about my emails. 257 00:17:19,760 --> 00:17:22,439 Speaker 1: You look at my emails. I never in the email 258 00:17:22,520 --> 00:17:27,720 Speaker 1: said anything derogatory about President Trump. Well, the true margat 259 00:17:27,760 --> 00:17:30,120 Speaker 1: someone is if they look good even when their personal 260 00:17:30,200 --> 00:17:32,920 Speaker 1: emails come out. So you fast sus test that very 261 00:17:32,960 --> 00:17:36,320 Speaker 1: few of us with food fast. Oh my gosh, doctor Facci, 262 00:17:36,400 --> 00:17:39,800 Speaker 1: you're just so amazing. Oh my gosh, it's so amazing. 263 00:17:40,720 --> 00:17:44,720 Speaker 1: You just like like our superhero fighting the virus. It's 264 00:17:44,760 --> 00:17:50,480 Speaker 1: like so good, unbelievable. Oh did did Fauci really? Did he? 265 00:17:50,520 --> 00:17:53,359 Speaker 1: Did he really tell the truth? In the beginning? What 266 00:17:53,600 --> 00:17:57,480 Speaker 1: is it about this guy that makes libs all sit 267 00:17:57,600 --> 00:18:06,280 Speaker 1: around and and just gleam with pride, with They really 268 00:18:06,280 --> 00:18:09,240 Speaker 1: look at this guy as though he's like the dad 269 00:18:09,359 --> 00:18:12,040 Speaker 1: they never had, or maybe the grandpa they never had. 270 00:18:12,920 --> 00:18:16,560 Speaker 1: And I just don't get it. I can't imagine going 271 00:18:16,600 --> 00:18:19,879 Speaker 1: through life thinking that this this guy who's been working 272 00:18:19,880 --> 00:18:22,320 Speaker 1: for a health bureauxy for so many decades. Have any 273 00:18:22,359 --> 00:18:24,400 Speaker 1: of these people ever showed up at a public hospital? 274 00:18:25,040 --> 00:18:27,479 Speaker 1: Have they ever dealt with, you know, the bureaucrats who 275 00:18:27,520 --> 00:18:30,120 Speaker 1: are making decisions in these places? You really, you really 276 00:18:30,119 --> 00:18:32,400 Speaker 1: think they're they're heroes and they always have your best 277 00:18:32,440 --> 00:18:35,280 Speaker 1: interests at heart. Album man, I a lot a lot 278 00:18:35,320 --> 00:18:37,280 Speaker 1: of cost cutting measures, a lot of you know, go 279 00:18:37,320 --> 00:18:39,880 Speaker 1: wait in the emergency room for eight hours while you're bleeding. 280 00:18:40,240 --> 00:18:44,240 Speaker 1: You know, sorry, too bad. But they believe that doctor 281 00:18:44,280 --> 00:18:48,960 Speaker 1: Fauci was unnecessary a savior. Actually, in all of this 282 00:18:49,800 --> 00:18:55,800 Speaker 1: he has been elevated to religious icon status, and he 283 00:18:56,040 --> 00:19:00,280 Speaker 1: is a tiny golden calf. Oh and the little golden 284 00:19:00,359 --> 00:19:06,040 Speaker 1: calf when he would bleat, often said the wrong thing. 285 00:19:06,119 --> 00:19:08,480 Speaker 1: But there were things he wouldn't say either, which I 286 00:19:08,480 --> 00:19:12,080 Speaker 1: think is so interesting. You will recall that he is 287 00:19:12,600 --> 00:19:15,280 Speaker 1: now claiming that he had no problem with Trump. He 288 00:19:15,400 --> 00:19:17,280 Speaker 1: was never an issue for the White House. It was 289 00:19:17,320 --> 00:19:20,919 Speaker 1: never political for him. The former White House Chief of 290 00:19:21,080 --> 00:19:27,240 Speaker 1: Staff under President Trump, Mark Meadows, brought this up recently. 291 00:19:27,280 --> 00:19:29,080 Speaker 1: This was somebody who was working with and dealing with 292 00:19:29,119 --> 00:19:32,639 Speaker 1: Fauci every day. Here he is play nine. Well, I 293 00:19:32,680 --> 00:19:35,760 Speaker 1: can tell you that what needs to happen is Ranking 294 00:19:35,800 --> 00:19:39,680 Speaker 1: Member Jordan and his cynic counterparts need to have another 295 00:19:39,800 --> 00:19:43,280 Speaker 1: hearing where they actually bring back in doctor Fauci to 296 00:19:43,359 --> 00:19:45,639 Speaker 1: look at some of these key questions. Part of the 297 00:19:45,680 --> 00:19:48,640 Speaker 1: troubling thing that we're seeing with these emails that are 298 00:19:48,720 --> 00:19:51,800 Speaker 1: coming out is not only do they seem to correspond 299 00:19:51,880 --> 00:19:56,040 Speaker 1: with what President Trump said and what Secretary Pompeo said 300 00:19:56,080 --> 00:19:58,800 Speaker 1: in terms of the origins of the virus. But it 301 00:19:58,840 --> 00:20:02,840 Speaker 1: indicates that Fauci had knowledge, or at least a suspicion 302 00:20:03,200 --> 00:20:07,560 Speaker 1: of things not happening in an evolutionary manner very early on, 303 00:20:08,040 --> 00:20:10,960 Speaker 1: and he didn't share that with the task force. That's 304 00:20:11,080 --> 00:20:13,200 Speaker 1: very troubling and something that we do need to get 305 00:20:13,240 --> 00:20:17,800 Speaker 1: to the bottom up. Why wouldn't he share that suspicion 306 00:20:17,880 --> 00:20:21,359 Speaker 1: with the task force? Gee, I wonder why if you 307 00:20:21,480 --> 00:20:25,960 Speaker 1: listen to this show, you're somebody who likes real questions 308 00:20:26,880 --> 00:20:31,840 Speaker 1: asked and you want real answers. That has been the 309 00:20:31,960 --> 00:20:35,840 Speaker 1: opposite of what we've gotten from ninety five percent of 310 00:20:35,840 --> 00:20:37,879 Speaker 1: the corporate media in this country, of all media in 311 00:20:37,880 --> 00:20:42,520 Speaker 1: this country, they have just been little parrots, squawk squawk, 312 00:20:43,640 --> 00:20:50,200 Speaker 1: parrots of the consensus. Ah, Foucci want a cracker, That's right, 313 00:20:51,000 --> 00:20:55,280 Speaker 1: Foucci does want a cracker. Well, you know what I mean. Fouci, 314 00:20:55,640 --> 00:20:58,280 Speaker 1: he's just always looking for a pad on the head, 315 00:20:58,840 --> 00:21:02,280 Speaker 1: always looking for some one to tell him how great 316 00:21:02,320 --> 00:21:07,919 Speaker 1: he is. Vanity friends from the lab Code Tyrant was 317 00:21:07,960 --> 00:21:14,159 Speaker 1: a major component of the information operation that the American 318 00:21:14,200 --> 00:21:17,600 Speaker 1: people were subjected to for the last fifteen sixteen months. 319 00:21:18,480 --> 00:21:21,439 Speaker 1: That is what has really gone on here now that 320 00:21:21,480 --> 00:21:23,760 Speaker 1: we've hit the unofficial kick off to summer. The months 321 00:21:23,760 --> 00:21:26,239 Speaker 1: ahead are always a great reminder of how lucky we 322 00:21:26,280 --> 00:21:29,280 Speaker 1: are to be Americans. From time with friends and family, 323 00:21:29,320 --> 00:21:32,879 Speaker 1: backyard barbecues, road trips, ball games, hitting the beach or 324 00:21:32,880 --> 00:21:35,200 Speaker 1: the lake, you name it. It's also a great time 325 00:21:35,240 --> 00:21:37,520 Speaker 1: to show how proud we are to be Americans. And 326 00:21:37,640 --> 00:21:39,479 Speaker 1: part of the way we do that is by flying 327 00:21:39,520 --> 00:21:42,239 Speaker 1: the American flag in front of our homes. And not 328 00:21:42,280 --> 00:21:45,080 Speaker 1: just any American flag. I recommend one that you can 329 00:21:45,119 --> 00:21:48,679 Speaker 1: rest assured won't tangle around a pole or get mildewed, 330 00:21:48,760 --> 00:21:51,920 Speaker 1: torn or shredded quickly. That's why you have to check 331 00:21:51,960 --> 00:21:55,080 Speaker 1: out my friends at Allegiance Flag Supply. They make the 332 00:21:55,160 --> 00:21:58,119 Speaker 1: highest quality American flags and accessories, and by the way, 333 00:21:58,359 --> 00:22:01,439 Speaker 1: they do it right here in America. Go to show 334 00:22:01,480 --> 00:22:05,000 Speaker 1: Allegiance dot com and enter promo code buck for ten 335 00:22:05,080 --> 00:22:07,880 Speaker 1: percent off your order. Check out not just the options 336 00:22:07,880 --> 00:22:09,800 Speaker 1: they have for your home, but for any of you 337 00:22:09,840 --> 00:22:12,040 Speaker 1: boat owners out there, but for any of you boat 338 00:22:12,080 --> 00:22:14,240 Speaker 1: owners out there getting ready to put the boat back 339 00:22:14,280 --> 00:22:16,960 Speaker 1: on the lake this weekend. They have everything you need 340 00:22:17,040 --> 00:22:21,040 Speaker 1: for your boat. Doc Again, go to show Allegiance dot com. 341 00:22:21,040 --> 00:22:25,480 Speaker 1: That website is Show allegiance dot com and enter promo 342 00:22:25,520 --> 00:22:28,320 Speaker 1: code buck for ten percent off your order and get 343 00:22:28,320 --> 00:22:31,080 Speaker 1: yours in time for Flag Day on June fourteenth. That 344 00:22:31,280 --> 00:22:34,840 Speaker 1: Show Allegiance dot Com enter promo code buck for ten 345 00:22:34,920 --> 00:22:38,040 Speaker 1: percent off. And let's fly the American flag with pride 346 00:22:38,119 --> 00:22:41,119 Speaker 1: everywhere this summer. Make sure it's the right kind of flag, 347 00:22:41,160 --> 00:22:44,160 Speaker 1: the one that won't get torn, mildewed, or tangled up. 348 00:22:44,520 --> 00:22:47,720 Speaker 1: Show Allegiance dot com use promo code buck for ten 349 00:22:47,720 --> 00:22:51,919 Speaker 1: percent off. Let's get into a deep dive here about 350 00:22:51,960 --> 00:22:55,680 Speaker 1: the possible cover up of the origins of COVID nineteen 351 00:22:56,280 --> 00:23:00,240 Speaker 1: and where we stand with the lab leak thesis. No 352 00:23:00,320 --> 00:23:02,600 Speaker 1: longer right to call this a conspiracy theory. It was 353 00:23:02,640 --> 00:23:05,240 Speaker 1: never right to call it a conspiracy theory. Our friend 354 00:23:05,440 --> 00:23:09,000 Speaker 1: Jordan Shacktell, who's an investigative journalist, is with us right now. 355 00:23:09,440 --> 00:23:12,479 Speaker 1: He has been a critic of fauci, of lockdowns of 356 00:23:12,560 --> 00:23:15,840 Speaker 1: masks all along, so we greatly appreciate him for that. Jordan. 357 00:23:16,119 --> 00:23:18,919 Speaker 1: People should support your work on this. Where do they go? 358 00:23:20,080 --> 00:23:23,840 Speaker 1: You can find me at dosia dot substack dot com. 359 00:23:23,880 --> 00:23:28,159 Speaker 1: Now tell us, tell us what is most striking to 360 00:23:28,200 --> 00:23:32,159 Speaker 1: you about where we stand right now, with the release 361 00:23:32,200 --> 00:23:35,639 Speaker 1: of these emails, what is important for everybody to take 362 00:23:35,640 --> 00:23:37,320 Speaker 1: away from this. There's a lot of emails out there 363 00:23:37,400 --> 00:23:41,639 Speaker 1: from doctor Fauci. Yeah, because the lab leak stuff and 364 00:23:41,680 --> 00:23:43,400 Speaker 1: the gain of function stuff has been in the news 365 00:23:43,440 --> 00:23:46,639 Speaker 1: so much. It was interesting to see the sense of 366 00:23:46,880 --> 00:23:52,360 Speaker 1: urgency coming from the upper echelons of the US government 367 00:23:52,400 --> 00:23:55,640 Speaker 1: health bureaucracy, with the National Institutes of Health and then 368 00:23:56,280 --> 00:24:00,240 Speaker 1: Fauci's and i AI. Whenever this issue came up. It 369 00:24:00,280 --> 00:24:03,639 Speaker 1: seems like they wanted to have an immediate phone call um, 370 00:24:03,760 --> 00:24:08,399 Speaker 1: whether it was with the supposed journalists in the corporate press, 371 00:24:09,119 --> 00:24:13,399 Speaker 1: or you had Fauci's top colleagues and executives, and what 372 00:24:13,880 --> 00:24:18,760 Speaker 1: seems like they weren't dismissing that the Lableak thesis whatsoever. 373 00:24:19,240 --> 00:24:23,240 Speaker 1: They were just trying to seemingly coordinate their messaging over 374 00:24:23,320 --> 00:24:25,879 Speaker 1: the Lablak thesis. And then you know, around the same 375 00:24:25,920 --> 00:24:30,080 Speaker 1: time frame. What was interesting is that Fauci had publications 376 00:24:30,080 --> 00:24:33,960 Speaker 1: out and as colleagues had public public publications um completely 377 00:24:34,000 --> 00:24:37,840 Speaker 1: dismissing lab leak as if this was not even a possibility. 378 00:24:37,840 --> 00:24:41,040 Speaker 1: But the emails said a very different thing. So what 379 00:24:41,160 --> 00:24:44,320 Speaker 1: do you what does the evidence tell us right now 380 00:24:44,359 --> 00:24:48,560 Speaker 1: about what's what's most likely to have occurred here, and 381 00:24:48,640 --> 00:24:52,640 Speaker 1: also the degree of culpability of the of the Wuhan 382 00:24:52,720 --> 00:24:56,920 Speaker 1: Institute of Virology. When where does the data to borrow from? 383 00:24:56,920 --> 00:25:00,680 Speaker 1: Fauci point us right now, it seems it's not only 384 00:25:00,720 --> 00:25:03,320 Speaker 1: the Wuhan Institute of Virology and you know, the Chinese 385 00:25:03,320 --> 00:25:07,960 Speaker 1: Communist Party, but there's also a significant piece that's missing 386 00:25:08,200 --> 00:25:14,520 Speaker 1: with concerning the US government's health institutions, collaboration and funding 387 00:25:14,880 --> 00:25:17,560 Speaker 1: of these agencies. And you know, whether or not it 388 00:25:17,640 --> 00:25:24,360 Speaker 1: happens with the endorsement of a particular presidential administration remains 389 00:25:24,400 --> 00:25:27,200 Speaker 1: pretty much unknown. You know, this gain of function stuff 390 00:25:27,240 --> 00:25:29,240 Speaker 1: is so weird because they put a pause to it 391 00:25:29,440 --> 00:25:32,040 Speaker 1: and then they resumed it, and then they were talking about, 392 00:25:32,320 --> 00:25:35,400 Speaker 1: you know, these these bat viruses, and it's just very 393 00:25:35,520 --> 00:25:39,080 Speaker 1: strange that the timeline that you see here, and it 394 00:25:39,160 --> 00:25:41,240 Speaker 1: just leads to a lot more questions about what exactly 395 00:25:41,440 --> 00:25:43,760 Speaker 1: was going on there on the US side of things, 396 00:25:43,760 --> 00:25:45,560 Speaker 1: because I think we're never going to get the answers 397 00:25:45,600 --> 00:25:48,400 Speaker 1: from the Chinese Communists. You know, they're never gonna tell 398 00:25:48,480 --> 00:25:52,560 Speaker 1: us directly the truth of the matter. But we do 399 00:25:52,680 --> 00:25:56,239 Speaker 1: have other processes in the United States which we can 400 00:25:56,280 --> 00:25:59,399 Speaker 1: at least hold these bureaucrats to account. How do you 401 00:25:59,440 --> 00:26:02,399 Speaker 1: think we can get accountability here, Jordan? I mean, you know, 402 00:26:02,440 --> 00:26:06,520 Speaker 1: Fauci is running around saying, let's not point fingers at China, 403 00:26:06,600 --> 00:26:08,840 Speaker 1: and now people are saying, well, it's not just China 404 00:26:08,960 --> 00:26:11,439 Speaker 1: we're concerned about here, but either's some that are saying 405 00:26:11,880 --> 00:26:14,800 Speaker 1: that he has misled to the point of perhaps even 406 00:26:14,880 --> 00:26:18,320 Speaker 1: perjuring himself when he's talked before Congress. What do you 407 00:26:18,359 --> 00:26:22,199 Speaker 1: think the accountability mechanisms can do here? And how do 408 00:26:22,240 --> 00:26:25,520 Speaker 1: we go forward given what we found out? That's the 409 00:26:25,600 --> 00:26:28,359 Speaker 1: interesting thing, And I think all the signs are pointing 410 00:26:28,400 --> 00:26:32,560 Speaker 1: to in early not an early retirement for Fauci, because 411 00:26:32,560 --> 00:26:36,280 Speaker 1: he's been a government bureaucrat for an amazing fifty six years. 412 00:26:36,840 --> 00:26:39,439 Speaker 1: But there has to be some kind of accountability mechanisms. 413 00:26:39,440 --> 00:26:43,560 Speaker 1: You can hope that, you know, at least GOP legislators 414 00:26:43,560 --> 00:26:47,399 Speaker 1: can really push this issue hard and hopefully find at 415 00:26:47,480 --> 00:26:51,199 Speaker 1: least some purple state dams to agree to attempt to 416 00:26:51,200 --> 00:26:54,720 Speaker 1: hold these people accountable. Start holding hearings, start asking these 417 00:26:54,760 --> 00:26:56,959 Speaker 1: people under oath, you know what they met when they 418 00:26:56,960 --> 00:26:59,679 Speaker 1: were talking about these emails, and of course these emails 419 00:26:59,680 --> 00:27:03,399 Speaker 1: were under freedom of information acts. So hopefully, you know, 420 00:27:03,440 --> 00:27:06,960 Speaker 1: these these people that represent US in Congress can get 421 00:27:07,200 --> 00:27:11,720 Speaker 1: additional emails about this issue and continue to you know, 422 00:27:11,800 --> 00:27:14,639 Speaker 1: do what they can to get more information to the public. 423 00:27:14,680 --> 00:27:16,840 Speaker 1: But the last thing I want right now, actually, even 424 00:27:16,840 --> 00:27:20,320 Speaker 1: though I've been you know, trying to get Faucci sidelined 425 00:27:20,359 --> 00:27:24,080 Speaker 1: and to retire for for eighteen months because of his 426 00:27:24,600 --> 00:27:28,680 Speaker 1: gross incompetence, I think Faucci especially needs to be held accountable. 427 00:27:29,520 --> 00:27:31,800 Speaker 1: What do you think are the one of the greatest 428 00:27:31,840 --> 00:27:38,840 Speaker 1: sins that Faucci has created here? There's so many things, 429 00:27:39,080 --> 00:27:42,399 Speaker 1: um it seems the common theme in the in the 430 00:27:42,480 --> 00:27:45,680 Speaker 1: emails was that Faucci was trying to protect the bureaucracy 431 00:27:45,840 --> 00:27:50,160 Speaker 1: from any critiques or even just he wanted to project 432 00:27:50,240 --> 00:27:53,240 Speaker 1: this sense onto the nation that he was kind of 433 00:27:53,240 --> 00:27:57,520 Speaker 1: like this all knowing scientists, you know, this the foremost 434 00:27:57,720 --> 00:28:01,000 Speaker 1: infectious disease expert that we kept hearing the corporate press 435 00:28:01,040 --> 00:28:03,840 Speaker 1: echoing and over again to try to sell that, you know, 436 00:28:03,880 --> 00:28:07,040 Speaker 1: the US response to COVID nineteen was based on science, 437 00:28:07,080 --> 00:28:11,239 Speaker 1: whether it was social distancing masks, all these closures, and 438 00:28:11,280 --> 00:28:13,280 Speaker 1: the reality was that there was never any evidence for 439 00:28:13,359 --> 00:28:17,000 Speaker 1: any of this stuff. But Fauci was more um, you know, 440 00:28:17,080 --> 00:28:20,919 Speaker 1: as a as a really as a politician. He understood 441 00:28:20,960 --> 00:28:24,960 Speaker 1: the power of crafting a narrative that works, and he 442 00:28:25,080 --> 00:28:27,760 Speaker 1: used the media to his benefit to craft these narratives. 443 00:28:27,920 --> 00:28:32,440 Speaker 1: But largely every single thing, um, it seemed, every single 444 00:28:32,440 --> 00:28:35,119 Speaker 1: thing was a lie and it was based it was 445 00:28:35,160 --> 00:28:37,760 Speaker 1: based on nothing, you know, this six foot social distancing, 446 00:28:37,880 --> 00:28:40,320 Speaker 1: and a lot of us, you know, you included especially, 447 00:28:40,360 --> 00:28:42,040 Speaker 1: have been saying this for a while, like, where is 448 00:28:42,080 --> 00:28:45,480 Speaker 1: the evidence. I'm not relying on Fauci's credentials, where's the evidence? 449 00:28:45,840 --> 00:28:47,960 Speaker 1: And you know, the emails kind of go to show 450 00:28:48,200 --> 00:28:51,000 Speaker 1: that they didn't. Really they were really too concerned with evidence. 451 00:28:51,040 --> 00:28:53,840 Speaker 1: They were just more concerned with being in a position 452 00:28:54,000 --> 00:28:56,680 Speaker 1: of authority. It seems to me, Jordan them that that 453 00:28:56,720 --> 00:29:00,440 Speaker 1: a lot of this was pushed by we we have 454 00:29:00,560 --> 00:29:06,720 Speaker 1: these you know, large, expensive, cumbersome health bureaucracies here in 455 00:29:06,760 --> 00:29:09,240 Speaker 1: America and a lot of places around the world, and 456 00:29:09,960 --> 00:29:13,440 Speaker 1: here we are. This was their moment, so to speak, right, 457 00:29:13,480 --> 00:29:16,640 Speaker 1: this is what we have them for. And really, at 458 00:29:16,640 --> 00:29:20,120 Speaker 1: the beginning of this pandemic, if they had told us 459 00:29:20,120 --> 00:29:22,320 Speaker 1: the truth, it was going to be we don't really 460 00:29:22,320 --> 00:29:24,120 Speaker 1: know how to stop this from spreading. A lot of 461 00:29:24,120 --> 00:29:26,480 Speaker 1: you are going to get it, and it's going to 462 00:29:26,560 --> 00:29:28,360 Speaker 1: take us at least a year to get a vaccine 463 00:29:28,400 --> 00:29:31,640 Speaker 1: out there and start getting the people's arms. So do 464 00:29:31,760 --> 00:29:34,560 Speaker 1: your best. I mean that was actually where they were. 465 00:29:34,760 --> 00:29:37,440 Speaker 1: But they came up with this whole framework of mask 466 00:29:37,840 --> 00:29:41,640 Speaker 1: six foot six feet of distancing lights, all your groceries, 467 00:29:42,600 --> 00:29:45,440 Speaker 1: you know, all these things we were being told. It's 468 00:29:45,480 --> 00:29:47,600 Speaker 1: it feels like they just came up with a plan 469 00:29:47,680 --> 00:29:51,200 Speaker 1: so they could have a plan. Yeah, it seemed like 470 00:29:51,240 --> 00:29:52,960 Speaker 1: they came up with a plan so they could be 471 00:29:53,040 --> 00:29:58,120 Speaker 1: seen and perceived as doing something you know, morally and 472 00:29:58,160 --> 00:30:01,280 Speaker 1: scientifically appropriate. And for actually it paid off. Like Faucci 473 00:30:01,320 --> 00:30:03,640 Speaker 1: won a one million dollar prize, he got a book deal, 474 00:30:03,920 --> 00:30:07,480 Speaker 1: he had a Disney crew following him around shooting a documentary. 475 00:30:07,520 --> 00:30:09,280 Speaker 1: I don't even know if the White House knew about that, 476 00:30:09,680 --> 00:30:14,360 Speaker 1: which is kind of fascinating. But Faucci he won the 477 00:30:14,400 --> 00:30:20,320 Speaker 1: battle for you know, public of public perception. The problem 478 00:30:20,400 --> 00:30:22,320 Speaker 1: was just that the science wasn't on his side, and 479 00:30:22,360 --> 00:30:25,680 Speaker 1: he ended up screwing over you know, the entire country. 480 00:30:26,040 --> 00:30:31,320 Speaker 1: And I think his decisions impacted not only the United 481 00:30:31,360 --> 00:30:34,320 Speaker 1: States but the entire world who looked to him for guidance, 482 00:30:34,360 --> 00:30:37,800 Speaker 1: and he was really basically, you know, the equivalent of 483 00:30:38,000 --> 00:30:41,440 Speaker 1: a quack quack doctor. At the entire time. We're speaking 484 00:30:41,480 --> 00:30:46,920 Speaker 1: to Jordan Shacktel, investigative journalist who's been covering COVID from 485 00:30:47,080 --> 00:30:49,760 Speaker 1: I mean, I think I would say a contrarian perspective 486 00:30:49,880 --> 00:30:52,480 Speaker 1: is fair, and I've been doing the same thing Jordan, 487 00:30:52,600 --> 00:30:55,920 Speaker 1: because to go against the consensus in any way, you're 488 00:30:55,960 --> 00:30:59,719 Speaker 1: considered some kind of you know, radical contrarian on all 489 00:30:59,760 --> 00:31:03,960 Speaker 1: this stuff. So I have to wonder what is the 490 00:31:04,240 --> 00:31:07,520 Speaker 1: role of Peter Dajak. I'm not sure I'm saying his 491 00:31:07,600 --> 00:31:09,800 Speaker 1: name right, But this guy, Peter Dajac and all this 492 00:31:09,880 --> 00:31:12,880 Speaker 1: who was the one who directed some of the funding 493 00:31:12,880 --> 00:31:15,000 Speaker 1: to the Wouhan Institute of Virology. What do we know 494 00:31:15,040 --> 00:31:17,440 Speaker 1: about this guy? Yeah, so it seems like he was 495 00:31:17,560 --> 00:31:21,880 Speaker 1: running some kind of like middleman operation between the US government. 496 00:31:22,120 --> 00:31:24,280 Speaker 1: He actually I've never interacted with this guy in social 497 00:31:24,320 --> 00:31:26,600 Speaker 1: media and he's blocked me, and like every single platform 498 00:31:26,680 --> 00:31:29,160 Speaker 1: says like, oh, that's kind of weird. But he seemed 499 00:31:29,160 --> 00:31:32,400 Speaker 1: to be the intermediary between the Chinese communists and the 500 00:31:32,480 --> 00:31:36,520 Speaker 1: US health bureaucracy, especially when it came to like funding 501 00:31:36,720 --> 00:31:39,160 Speaker 1: this kind of this sketchy research, they preferred not to 502 00:31:39,200 --> 00:31:42,000 Speaker 1: do it directly. So he was like this like black 503 00:31:42,080 --> 00:31:48,200 Speaker 1: market type situation, NGO, very sketchy. There's so much sketchy 504 00:31:48,240 --> 00:31:50,480 Speaker 1: stuff going on in that in that world. Even though 505 00:31:50,560 --> 00:31:52,760 Speaker 1: you know, these government health institutions have a history of 506 00:31:53,240 --> 00:31:57,280 Speaker 1: dangerous and reckless behavior, they seem to, you know, try 507 00:31:57,280 --> 00:32:02,800 Speaker 1: to find cutouts to avoid congressional scrutiny. And he seemed 508 00:32:02,800 --> 00:32:06,480 Speaker 1: to be an integral player in that mess. Of all 509 00:32:06,520 --> 00:32:10,480 Speaker 1: the decisions Jordan that have come down from the health 510 00:32:10,520 --> 00:32:13,800 Speaker 1: bureaucrats during this in retrospect, I mean, which is the 511 00:32:13,800 --> 00:32:17,040 Speaker 1: one that you find the most egregious, Whether it's the 512 00:32:17,160 --> 00:32:21,360 Speaker 1: suppression of the lab leak theory, the enormous about face 513 00:32:21,480 --> 00:32:27,080 Speaker 1: on masks, the lockdown mantra, all this stuff, which is 514 00:32:27,080 --> 00:32:31,360 Speaker 1: the one that, for you is just the most inexplicable 515 00:32:31,440 --> 00:32:36,360 Speaker 1: and destructive. Yeah, it just had to be the lockdowns 516 00:32:36,360 --> 00:32:39,520 Speaker 1: and the messaging about the lockdowns and the confidence they 517 00:32:39,600 --> 00:32:44,840 Speaker 1: expressed when they were really just weighing it the entire time. 518 00:32:45,360 --> 00:32:47,440 Speaker 1: And that's you know, the most discippointing thing is how 519 00:32:47,520 --> 00:32:52,800 Speaker 1: much damage they did to our global society because they 520 00:32:52,880 --> 00:32:55,920 Speaker 1: expressed false confidence and really had no idea what was 521 00:32:55,960 --> 00:32:57,640 Speaker 1: going on. I mean, we've been talking about this for 522 00:32:57,680 --> 00:33:01,200 Speaker 1: so long that the lockdowns had never been tried before 523 00:33:01,280 --> 00:33:04,560 Speaker 1: on this scale in human history, and it was all 524 00:33:04,640 --> 00:33:09,520 Speaker 1: based on a you know, Chinese communist model out of Wuhan, China, 525 00:33:09,560 --> 00:33:12,480 Speaker 1: and it was so destructive and countries are still attempting 526 00:33:12,480 --> 00:33:16,200 Speaker 1: lockdowns to this day. Australia just went into another lockdown. 527 00:33:16,720 --> 00:33:19,600 Speaker 1: It's just the lockdowns I think have been by far 528 00:33:19,680 --> 00:33:23,520 Speaker 1: the most damaging because it shuts down the economy, it creates, 529 00:33:24,120 --> 00:33:28,360 Speaker 1: you know, a paranoid society, and it's going to take 530 00:33:28,440 --> 00:33:30,880 Speaker 1: so many years to recover from that that. Yeah, it's 531 00:33:30,880 --> 00:33:33,480 Speaker 1: got to be the lockdowns. Do you think we're ever 532 00:33:33,560 --> 00:33:36,760 Speaker 1: going to really find out what happened with this virus 533 00:33:37,200 --> 00:33:38,680 Speaker 1: in the early days? I mean, do you think where 534 00:33:38,680 --> 00:33:40,480 Speaker 1: we're going to find out where it really came from 535 00:33:40,520 --> 00:33:44,040 Speaker 1: and what the Chinese Communist Party did to make sure 536 00:33:44,080 --> 00:33:47,920 Speaker 1: that the world didn't know where it started. I hope so. 537 00:33:48,120 --> 00:33:53,040 Speaker 1: And the role of social media in censoring these voices 538 00:33:53,040 --> 00:33:54,680 Speaker 1: who were trying to talk about this. You know, there 539 00:33:54,800 --> 00:33:59,160 Speaker 1: was a lot of legitimate expert virologists and you know, 540 00:33:59,200 --> 00:34:03,120 Speaker 1: other scientists in biological fields who are trying to identify, 541 00:34:03,320 --> 00:34:05,560 Speaker 1: you know, if any of this stuff was genetically engineered 542 00:34:05,560 --> 00:34:08,560 Speaker 1: and whatnot. And I think it's time to you know, 543 00:34:08,640 --> 00:34:12,560 Speaker 1: get these people back into the spot. Like Unfortunately, you know, 544 00:34:12,600 --> 00:34:16,560 Speaker 1: these these Facebook, Twitter, Instagram folks basically like censored these 545 00:34:16,600 --> 00:34:21,399 Speaker 1: people out of the conversation and marginalize them completely. So 546 00:34:21,440 --> 00:34:24,960 Speaker 1: we need to, you know, elevate the voices of actual 547 00:34:25,040 --> 00:34:26,880 Speaker 1: experts who can get to the bottom of this stuff. 548 00:34:27,120 --> 00:34:30,440 Speaker 1: Jordan Shack tell everybody he's been on this for the 549 00:34:30,480 --> 00:34:33,240 Speaker 1: whole time, from begin one of the few voices willing 550 00:34:33,280 --> 00:34:36,320 Speaker 1: to be brave on this, because if you wanted to 551 00:34:36,360 --> 00:34:38,840 Speaker 1: be correct, you had to be willing to go against 552 00:34:38,880 --> 00:34:43,920 Speaker 1: the Fauci consensus. Go to substack dot dot sia dot 553 00:34:43,960 --> 00:34:48,200 Speaker 1: com for Jordan's latest Jordan, thanks so much, man, appreciate it. 554 00:34:48,719 --> 00:34:52,160 Speaker 1: Thanks book. There was an email on April sixteenth, an 555 00:34:52,160 --> 00:34:55,759 Speaker 1: email exchange between you and NIH director Francis Collins. The 556 00:34:55,800 --> 00:35:00,440 Speaker 1: email sent to you said, conspiracy theory gains MOMENTU and 557 00:35:00,520 --> 00:35:03,719 Speaker 1: this again was the idea of the lab league. Those emails, though, 558 00:35:03,760 --> 00:35:04,880 Speaker 1: as you can see on the screen, or I can 559 00:35:04,880 --> 00:35:07,719 Speaker 1: see on the screen, was all redacted between you and 560 00:35:07,800 --> 00:35:12,960 Speaker 1: Francis Collins. Do you have to remember? Do you remember, John? 561 00:35:13,360 --> 00:35:15,880 Speaker 1: They only took about ten thousand emails from me. Of 562 00:35:15,880 --> 00:35:18,560 Speaker 1: course I remember, I remember all ten thousand of them. 563 00:35:18,800 --> 00:35:21,960 Speaker 1: Give me a break to be clear. You're saying you 564 00:35:22,000 --> 00:35:24,279 Speaker 1: don't remember, you can't tell us. But what was in 565 00:35:24,320 --> 00:35:27,759 Speaker 1: the body of that. I don't remember what's in that redacted? 566 00:35:28,040 --> 00:35:31,920 Speaker 1: But there I mean, the idea I think is quite 567 00:35:32,040 --> 00:35:36,920 Speaker 1: far fetched that the Chinese deliberately engineered something so that 568 00:35:36,960 --> 00:35:41,279 Speaker 1: they could kill themselves as well as other people. I 569 00:35:41,840 --> 00:35:46,160 Speaker 1: think that's a bit far out, John, That's not what 570 00:35:46,280 --> 00:35:48,520 Speaker 1: most of the people who are pushing the lab leak 571 00:35:48,680 --> 00:35:53,520 Speaker 1: theory believe happened. But see, this is a version of 572 00:35:54,000 --> 00:35:58,080 Speaker 1: what we've seen before from Fauci. Avoid the avoid the 573 00:35:58,160 --> 00:36:05,520 Speaker 1: main argument by by attacking these diversionary arguments. It's not 574 00:36:05,560 --> 00:36:10,480 Speaker 1: that the Chinese intentionally released this virus in their own 575 00:36:10,640 --> 00:36:14,440 Speaker 1: population first and then hope that because China has a 576 00:36:14,480 --> 00:36:17,880 Speaker 1: billion people, they were going to come out ahead of 577 00:36:17,880 --> 00:36:20,719 Speaker 1: the rest of the world, right, I mean, that's actually 578 00:36:20,800 --> 00:36:23,160 Speaker 1: not the argument. Now, some people may be arguing that, 579 00:36:23,280 --> 00:36:27,360 Speaker 1: but what many of us are saying is China was 580 00:36:27,400 --> 00:36:31,160 Speaker 1: involved in doing this kind of research. It was a 581 00:36:31,160 --> 00:36:33,799 Speaker 1: place that the facilities, as we know, had already had 582 00:36:33,880 --> 00:36:37,319 Speaker 1: leaks in the past four leaks. I believe that after 583 00:36:37,360 --> 00:36:40,919 Speaker 1: the Stars scare, where you had about seven hundred plus 584 00:36:40,920 --> 00:36:44,360 Speaker 1: people die globally, but that was if you got stars, 585 00:36:45,280 --> 00:36:48,279 Speaker 1: you were in very very dire situation and the much 586 00:36:48,360 --> 00:36:50,760 Speaker 1: much higher mortality than what you had from COVID nineteen. 587 00:36:51,920 --> 00:36:56,200 Speaker 1: But the Stars situation created this sense of urgency for 588 00:36:56,200 --> 00:36:59,560 Speaker 1: the need to study these kinds of viruses. And so 589 00:37:00,400 --> 00:37:03,000 Speaker 1: what we're saying is that they were studying it and 590 00:37:03,040 --> 00:37:05,360 Speaker 1: then it got out and there was gain of function 591 00:37:05,440 --> 00:37:07,759 Speaker 1: research going on. So they weren't just they didn't just 592 00:37:07,800 --> 00:37:10,520 Speaker 1: collect viruses and look at them and try to understand them. 593 00:37:10,880 --> 00:37:15,319 Speaker 1: They collected viruses and were toying with them, changing them, 594 00:37:15,719 --> 00:37:18,520 Speaker 1: and then one of those viruses that does occur naturally 595 00:37:18,520 --> 00:37:21,840 Speaker 1: in nature got out of the lab and then spread 596 00:37:21,880 --> 00:37:25,120 Speaker 1: all over the world and killed millions of people. That's 597 00:37:25,239 --> 00:37:28,959 Speaker 1: the basis of the theory. But see what Fauci wants 598 00:37:29,000 --> 00:37:34,160 Speaker 1: to do is tell everybody, oh, they're they're just these 599 00:37:34,160 --> 00:37:37,920 Speaker 1: crazy people out there who were talking nonsense. There's just 600 00:37:38,000 --> 00:37:42,160 Speaker 1: all this absurd stuff. Why should anything really in these 601 00:37:42,200 --> 00:37:45,919 Speaker 1: emails be redacted? Think about that for a moment. This 602 00:37:46,000 --> 00:37:49,960 Speaker 1: isn't this isn't the CIA. They're not worried about sources 603 00:37:49,960 --> 00:37:53,080 Speaker 1: and methods. Why are there redactions in these emails from 604 00:37:53,080 --> 00:37:57,360 Speaker 1: the the nih you know, head of NAIAD, the National 605 00:37:57,400 --> 00:38:01,200 Speaker 1: Institive Allergy Infectious Disease, which is under the umbrella of 606 00:38:01,239 --> 00:38:06,960 Speaker 1: the National Institute of Health. M Well, Fauci's just full 607 00:38:07,000 --> 00:38:09,759 Speaker 1: of it. He's skating all over the place here, trying to, 608 00:38:10,400 --> 00:38:14,719 Speaker 1: as you know, I always say, evade accountability. Here he 609 00:38:14,840 --> 00:38:16,839 Speaker 1: is on something near and dear to my heart. It's 610 00:38:16,840 --> 00:38:20,520 Speaker 1: all talk about masks in these emails, and how Matt 611 00:38:20,719 --> 00:38:23,239 Speaker 1: basically mocking the notion that masks are going to save 612 00:38:23,280 --> 00:38:25,359 Speaker 1: you from COVID. I mean it's really not. It's just 613 00:38:25,719 --> 00:38:27,640 Speaker 1: which we all know, right, masks and they don't really 614 00:38:27,680 --> 00:38:30,560 Speaker 1: do anything. Can we finally? I love that we can 615 00:38:30,640 --> 00:38:33,520 Speaker 1: finally say that without everyone freaking out. I mean we 616 00:38:33,600 --> 00:38:37,440 Speaker 1: said they don't do anything. You know, you may you 617 00:38:37,480 --> 00:38:41,120 Speaker 1: may prevent yourself from you know, getting wet if you 618 00:38:41,120 --> 00:38:43,879 Speaker 1: go out in the rain by holding a coke can 619 00:38:44,040 --> 00:38:47,160 Speaker 1: over your head. But is that an effective means of 620 00:38:47,280 --> 00:38:49,839 Speaker 1: stopping you from getting wet in a rainstorm? But right, 621 00:38:49,840 --> 00:38:53,560 Speaker 1: I mean, at some point it's just it's just dumb. 622 00:38:53,560 --> 00:38:55,600 Speaker 1: It doesn't work well enough for anyone to care. I 623 00:38:55,600 --> 00:38:58,000 Speaker 1: think that's where we are with cloth masks against this 624 00:38:58,080 --> 00:39:02,640 Speaker 1: aerosolized virus. But here's vouch you on that point, specifically 625 00:39:02,640 --> 00:39:07,160 Speaker 1: Play twelve. Well, you know, John, let's get real here. 626 00:39:07,480 --> 00:39:12,080 Speaker 1: If you look at scientific information as it accumulates what 627 00:39:12,280 --> 00:39:15,640 Speaker 1: is going on in January and February, what you know 628 00:39:15,880 --> 00:39:20,200 Speaker 1: as a fact, as data guides what you tell people 629 00:39:20,600 --> 00:39:25,959 Speaker 1: and your policies. If March April may occur, you accumulate 630 00:39:26,040 --> 00:39:30,640 Speaker 1: a lot more information, and you modify and adjust your 631 00:39:30,680 --> 00:39:35,960 Speaker 1: opinion and your recommendation based on the current science and 632 00:39:36,080 --> 00:39:40,600 Speaker 1: current data. So, of course, if we knew back then 633 00:39:41,000 --> 00:39:46,160 Speaker 1: that a substantial amount of transmission was asymptomatic people, if 634 00:39:46,200 --> 00:39:50,560 Speaker 1: we knew then that the data show that masks outside 635 00:39:50,600 --> 00:39:54,160 Speaker 1: of a hospital setting are actually do work when we 636 00:39:54,239 --> 00:39:57,640 Speaker 1: didn't know it. Then if we realize all of those 637 00:39:57,680 --> 00:40:01,960 Speaker 1: things back then, of course, asking a question, would you 638 00:40:02,000 --> 00:40:04,560 Speaker 1: have done something different if you know what you know now? 639 00:40:05,120 --> 00:40:08,000 Speaker 1: Of course, people would have done that. That's so obvious. 640 00:40:08,440 --> 00:40:11,800 Speaker 1: Where's that data? Fouch on the masks working outside of 641 00:40:11,800 --> 00:40:14,680 Speaker 1: a hospital setting? Where where's that data? Oh? You mean 642 00:40:14,719 --> 00:40:21,440 Speaker 1: the lab studies with spray bottles? Yeah, laughable garbage. Criticizing 643 00:40:22,960 --> 00:40:26,200 Speaker 1: such things as the sixteen nineteen project, you know, which 644 00:40:26,560 --> 00:40:31,320 Speaker 1: tends to put that in date as something uniquely American. 645 00:40:32,640 --> 00:40:35,600 Speaker 1: There was a lot of slavery going on around the 646 00:40:35,640 --> 00:40:41,040 Speaker 1: world in the early sixteen hundreds. We fought the Civil 647 00:40:41,040 --> 00:40:44,239 Speaker 1: War in order to put our original sin behind us. 648 00:40:45,000 --> 00:40:48,200 Speaker 1: We passed the Voting Rights Act in nineteen sixty five 649 00:40:48,280 --> 00:40:53,319 Speaker 1: in order to further enfranchise minorities in our country. It's 650 00:40:53,320 --> 00:40:56,960 Speaker 1: been a long arc of trying to improve race relations 651 00:40:56,960 --> 00:41:00,520 Speaker 1: in this country. But I think trying to come completely 652 00:41:01,680 --> 00:41:08,560 Speaker 1: denigrade and downgrade American historical moments like seventeen seventy six, 653 00:41:08,760 --> 00:41:15,040 Speaker 1: seventeen eighty seven, nineteen sixty five critical moments is a mistake. 654 00:41:15,480 --> 00:41:19,640 Speaker 1: But I don't think the government's any better at prescribing 655 00:41:19,640 --> 00:41:22,680 Speaker 1: what ought to be taught than the universities themselves. But 656 00:41:22,719 --> 00:41:25,040 Speaker 1: they ought to be open to criticism about what they're doing. 657 00:41:26,400 --> 00:41:29,600 Speaker 1: So what exactly is Mitch McConnell saying about the solution. 658 00:41:29,640 --> 00:41:33,440 Speaker 1: Here he identifies when it comes to critical race theory, 659 00:41:34,320 --> 00:41:39,360 Speaker 1: much of the problem correctly. He understands that CRT seeks 660 00:41:39,360 --> 00:41:42,359 Speaker 1: to minimize, you know, the same way they accuse people 661 00:41:42,360 --> 00:41:46,880 Speaker 1: of minimizing the role of slavery in America from its origins, 662 00:41:46,880 --> 00:41:52,120 Speaker 1: and the sixteen nineteen Project does exactly that. We can say, well, 663 00:41:52,120 --> 00:41:55,239 Speaker 1: the other side minimizes that we had a civil war 664 00:41:55,320 --> 00:42:00,239 Speaker 1: in this country, a brutal, bloody civil war or that 665 00:42:00,320 --> 00:42:05,279 Speaker 1: killed hundreds of thousands of Americans, wounded many times more 666 00:42:05,320 --> 00:42:09,520 Speaker 1: than that, grievously wounded, people lost eyes, legs, arms, and 667 00:42:09,920 --> 00:42:13,280 Speaker 1: we fought a war to end slavery in this country. 668 00:42:13,800 --> 00:42:17,080 Speaker 1: And then after that went through a century or so 669 00:42:17,320 --> 00:42:21,799 Speaker 1: of continued effort to make real the promise of equality 670 00:42:22,440 --> 00:42:26,120 Speaker 1: fought for by the Union in the Civil War. And 671 00:42:27,400 --> 00:42:29,920 Speaker 1: we're just told that by cr team at the sixty 672 00:42:30,040 --> 00:42:35,520 Speaker 1: nineteen project not enough, not enough, not even close, not acceptable. 673 00:42:35,760 --> 00:42:42,000 Speaker 1: America's a racist, bad place. Really. Mitch McConnell pointed out 674 00:42:42,000 --> 00:42:43,520 Speaker 1: that there was a lot of slavery going on in 675 00:42:43,560 --> 00:42:46,680 Speaker 1: the world of the sixteen hundreds. That's true. In fact, 676 00:42:46,719 --> 00:42:51,239 Speaker 1: one of the places with the longest reach when it 677 00:42:51,280 --> 00:42:54,000 Speaker 1: came to the slave trade were the Barbary states of 678 00:42:54,040 --> 00:42:58,520 Speaker 1: North Africa. This is something that is often not taught 679 00:42:58,560 --> 00:43:01,000 Speaker 1: at all in schools. In fact, talk about something that's 680 00:43:02,960 --> 00:43:09,160 Speaker 1: that is edited out of basic history for people. We 681 00:43:09,280 --> 00:43:13,839 Speaker 1: fought our first foreign war against the Barbary pirates right 682 00:43:13,880 --> 00:43:17,719 Speaker 1: to the shores of Tripoli because President Jefferson had had 683 00:43:17,880 --> 00:43:25,560 Speaker 1: enough of our people, Americans being enslaved by Muslim Arabs 684 00:43:25,680 --> 00:43:31,480 Speaker 1: in North Africa, taken off of ships, the men worked 685 00:43:31,480 --> 00:43:36,360 Speaker 1: to death and the women used in sexual slavery for 686 00:43:36,640 --> 00:43:42,640 Speaker 1: harems of wealthy Muslim Arabs in places like Tripoli and 687 00:43:42,800 --> 00:43:49,799 Speaker 1: what is presently today Algeria and Tunisia and Morocco. Right 688 00:43:49,920 --> 00:43:54,440 Speaker 1: that was going on for hundreds of years. Straight up slavery, 689 00:43:54,880 --> 00:43:59,560 Speaker 1: the Muslim slave trade of European Christians and American Christians 690 00:44:00,239 --> 00:44:03,719 Speaker 1: was what was happening. And they went as far as 691 00:44:04,440 --> 00:44:12,880 Speaker 1: These slaving raids or slave raids went as far as Iceland, Ireland, 692 00:44:13,719 --> 00:44:16,320 Speaker 1: all up and down the coasts of Italy and Spain. 693 00:44:17,400 --> 00:44:24,200 Speaker 1: They would seize white Christians and put them into into slavery, 694 00:44:24,200 --> 00:44:26,279 Speaker 1: and in fact, they often were worked in mines in 695 00:44:26,400 --> 00:44:31,120 Speaker 1: North Africa until they died. And they died rapidly because 696 00:44:31,120 --> 00:44:34,960 Speaker 1: of the absolutely horrific conditions, and the women were taken 697 00:44:34,960 --> 00:44:39,439 Speaker 1: in prize for sexual slavery in the Harems. That's what 698 00:44:39,480 --> 00:44:43,640 Speaker 1: was going on for hundreds of years. Friends. You don't 699 00:44:43,680 --> 00:44:46,040 Speaker 1: often hear about this, do you. This is not something 700 00:44:46,080 --> 00:44:50,000 Speaker 1: that's really taught very much, but it's true. All throughout 701 00:44:50,000 --> 00:44:55,000 Speaker 1: the sixteen hundreds, all throughout the seventeen hundreds, this was reality. 702 00:44:56,360 --> 00:44:59,319 Speaker 1: And the Ottoman Empire, which is often talked about by 703 00:45:00,080 --> 00:45:03,720 Speaker 1: leftist historians as this, you know, great and sophisticated and powerful. 704 00:45:03,760 --> 00:45:07,520 Speaker 1: It was powerful, and it did end up accumulating a 705 00:45:07,520 --> 00:45:12,759 Speaker 1: lot of other cultures knowledge and advancements. You'd call it 706 00:45:12,840 --> 00:45:16,440 Speaker 1: cultural appropriation if you want, including the Byzantine Empire, the 707 00:45:16,480 --> 00:45:20,520 Speaker 1: Eastern Orthodox Christian Empire that came before it. But the 708 00:45:20,520 --> 00:45:24,880 Speaker 1: Ottoman Empire was built as a slave empire. Does anybody 709 00:45:25,120 --> 00:45:28,000 Speaker 1: want to try to go back in history and look 710 00:45:28,000 --> 00:45:30,480 Speaker 1: at this and come to a different conclusion, I welcome 711 00:45:30,560 --> 00:45:36,240 Speaker 1: them to try. Massive slave trade from the Muslim Ottomans. 712 00:45:36,640 --> 00:45:42,520 Speaker 1: The slave trade existed in Sub Saharan Africa at the 713 00:45:42,600 --> 00:45:46,480 Speaker 1: time of the Transatlantic slave trade, and in fact, as 714 00:45:46,520 --> 00:45:51,839 Speaker 1: we know, the white slave traders who would show up 715 00:45:51,840 --> 00:45:56,279 Speaker 1: along the West African coast of what is today the 716 00:45:56,360 --> 00:45:59,680 Speaker 1: coast of Well coast of West African, including places like 717 00:45:59,800 --> 00:46:04,799 Speaker 1: night Jeria and and some of the smaller African states 718 00:46:04,880 --> 00:46:12,120 Speaker 1: alongside it. They would use the existing slave network inside 719 00:46:12,200 --> 00:46:15,839 Speaker 1: of Africa, where tribes would enslave other tribes and then 720 00:46:15,840 --> 00:46:19,320 Speaker 1: they would be sold to the white Transatlantic slave traders 721 00:46:19,360 --> 00:46:25,280 Speaker 1: in what is unquestionably a horrific, inhumane, deeply immoral practice. 722 00:46:26,120 --> 00:46:29,160 Speaker 1: Many well, I can't even tell you the numbers, there'd 723 00:46:29,200 --> 00:46:33,600 Speaker 1: be estimates, but large percentage of those those enslaved Africans 724 00:46:33,880 --> 00:46:39,359 Speaker 1: died in that in transit, held in just the most 725 00:46:39,360 --> 00:46:45,000 Speaker 1: disgraceful conditions imaginable. So this is just to say that 726 00:46:45,040 --> 00:46:47,480 Speaker 1: these are horrific things. They should not have been done, 727 00:46:47,840 --> 00:46:50,040 Speaker 1: but human beings have been terrible to each other for 728 00:46:50,080 --> 00:46:52,560 Speaker 1: a long time. This is not new and this is 729 00:46:52,560 --> 00:46:54,640 Speaker 1: not unique to America. So if we're really going to 730 00:46:54,640 --> 00:46:57,200 Speaker 1: talk about this, if we're going to discuss the history 731 00:46:57,200 --> 00:47:00,760 Speaker 1: of slavery and depression, let's really discuss it through history 732 00:47:00,800 --> 00:47:05,399 Speaker 1: and all over the world, the Aztec Empire, you'll often 733 00:47:05,480 --> 00:47:11,600 Speaker 1: hear about how the conquest of the America's involved the 734 00:47:11,719 --> 00:47:15,560 Speaker 1: terrible treatment of the indigenous population here, right, and now 735 00:47:15,560 --> 00:47:17,560 Speaker 1: you have this new new term that is meant to 736 00:47:17,600 --> 00:47:23,120 Speaker 1: bring greater attention to indigenous populations bipoc, right, black indigenous 737 00:47:23,280 --> 00:47:26,960 Speaker 1: people and people of color. Well, the indigenous population in 738 00:47:27,040 --> 00:47:30,760 Speaker 1: the Americas was when you're talking about the Aztec Empire, 739 00:47:30,880 --> 00:47:36,680 Speaker 1: for example, they were not only engaged in massive slavery, 740 00:47:37,280 --> 00:47:43,040 Speaker 1: enslaving tribes and treating people like property, but also massive 741 00:47:43,120 --> 00:47:47,200 Speaker 1: human sacrifice. So we're going to talk about morality. You 742 00:47:47,239 --> 00:47:49,600 Speaker 1: start to look at what's going on here in places. 743 00:47:49,760 --> 00:47:52,879 Speaker 1: And remember we're talking about fifteen hundreds, were talking about 744 00:47:52,920 --> 00:47:55,560 Speaker 1: sixteen hundreds. We're talking about periods of time here that 745 00:47:55,600 --> 00:48:00,520 Speaker 1: are roughly equivalent. You could go back into slavery in 746 00:48:00,560 --> 00:48:04,640 Speaker 1: the Bible and the Jews in Egypt, and right, there's 747 00:48:04,640 --> 00:48:08,280 Speaker 1: a reason why throughout history when you look for slavery 748 00:48:08,280 --> 00:48:12,279 Speaker 1: you find the Roman Empire built on slavery. This, you know, 749 00:48:12,360 --> 00:48:15,560 Speaker 1: human oppression of other humans has been a constant in 750 00:48:15,600 --> 00:48:20,440 Speaker 1: this country. We actually had, thanks to the Constitution or 751 00:48:20,440 --> 00:48:23,799 Speaker 1: the Declaration of independence, thanks to the basic framework of 752 00:48:23,840 --> 00:48:29,319 Speaker 1: our government, we had the beginnings of the end of 753 00:48:29,800 --> 00:48:33,439 Speaker 1: human bondage and slavery put in place here. It wasn't 754 00:48:33,440 --> 00:48:35,319 Speaker 1: as fast as we wanted it to be. It wasn't 755 00:48:35,320 --> 00:48:38,040 Speaker 1: as fast as it should have been, right, And that's 756 00:48:38,120 --> 00:48:40,239 Speaker 1: it's understandable that we can go back and say that 757 00:48:40,280 --> 00:48:44,120 Speaker 1: we wish this had moved along much more quickly than 758 00:48:44,160 --> 00:48:48,200 Speaker 1: it did. But to ignore that process and to pretend 759 00:48:48,200 --> 00:48:53,920 Speaker 1: that there haven't been tremendous sacrifices made by many people 760 00:48:54,000 --> 00:48:59,719 Speaker 1: outside of the minority community. Isn't it fascinating how you 761 00:49:00,160 --> 00:49:03,560 Speaker 1: never get to say in this country, you're told, under 762 00:49:03,600 --> 00:49:08,240 Speaker 1: critical race theory and the sixteen nineteen Project view of America, 763 00:49:08,480 --> 00:49:11,480 Speaker 1: you're told that there's a degree of guilt that you 764 00:49:11,600 --> 00:49:16,840 Speaker 1: have just by nature of being white. If you're white, 765 00:49:16,880 --> 00:49:19,880 Speaker 1: you're part of the oppressive class in America. This is 766 00:49:20,640 --> 00:49:23,239 Speaker 1: central to critical race theory. This is central to the 767 00:49:23,280 --> 00:49:30,120 Speaker 1: teachings of the deconstructionists like Derita, these far left intellectuals. 768 00:49:30,120 --> 00:49:32,400 Speaker 1: I mean, really, if you go back and see you 769 00:49:32,440 --> 00:49:36,600 Speaker 1: can trace critical race theory to those who believe in 770 00:49:36,760 --> 00:49:41,680 Speaker 1: who are putting forward moral relativism and the fashionable Marxist 771 00:49:41,760 --> 00:49:48,240 Speaker 1: philosophies of European professors and European intellectuals from the nineteen 772 00:49:48,280 --> 00:49:51,080 Speaker 1: sixties and the nineteen seventies. That's where we get all 773 00:49:51,080 --> 00:49:53,600 Speaker 1: this critical race theory teaching. It's really the beginnings of 774 00:49:53,680 --> 00:49:56,920 Speaker 1: the origins of it, and then critical race theory just 775 00:49:56,960 --> 00:50:00,879 Speaker 1: tries to codify it into law. Critical race theory takes 776 00:50:00,880 --> 00:50:02,440 Speaker 1: it a step further and says, well, we're going to 777 00:50:02,480 --> 00:50:07,560 Speaker 1: explicitly pursue political power as a component of this, and 778 00:50:08,520 --> 00:50:11,120 Speaker 1: that that's where we currently are. But you'll notice that 779 00:50:11,200 --> 00:50:13,319 Speaker 1: it's it's never something you can say, well, you know 780 00:50:13,360 --> 00:50:17,880 Speaker 1: my ancestors, my ancestors fought in the Union. You know 781 00:50:17,920 --> 00:50:21,000 Speaker 1: I lost, and some of my some of my ancestors 782 00:50:21,080 --> 00:50:25,279 Speaker 1: died fighting to end slavery. So do I get if 783 00:50:25,320 --> 00:50:29,200 Speaker 1: I get the downside of being white in America today 784 00:50:29,400 --> 00:50:34,080 Speaker 1: under the description of race relations forwarded by critical race theory, 785 00:50:34,520 --> 00:50:37,240 Speaker 1: Do I get to make a case that, well, my ancestors, actually, 786 00:50:37,320 --> 00:50:41,000 Speaker 1: some of them gave their lives fighting against the practice 787 00:50:41,040 --> 00:50:43,200 Speaker 1: of slavery? Does that know? No, of course, And then 788 00:50:43,239 --> 00:50:45,200 Speaker 1: you get into why am I even being held to 789 00:50:45,239 --> 00:50:48,239 Speaker 1: any standard based upon my ancestors. You should not hold 790 00:50:48,239 --> 00:50:50,359 Speaker 1: the son guilty for the sins of the father. You 791 00:50:50,360 --> 00:50:54,080 Speaker 1: certainly shouldn't hold somebody guilty for the sins of their 792 00:50:54,320 --> 00:51:01,640 Speaker 1: great great great grandfathers and yet to crt grapple with 793 00:51:01,719 --> 00:51:06,000 Speaker 1: any of this. No, it is racial Marxism. It is 794 00:51:06,040 --> 00:51:09,720 Speaker 1: meant to tear this country apart and elevate the few 795 00:51:09,840 --> 00:51:13,040 Speaker 1: at the expense of the many, elevate those who run 796 00:51:13,080 --> 00:51:17,319 Speaker 1: the apparatus under the pretense that they're helping those who 797 00:51:17,800 --> 00:51:20,319 Speaker 1: are oppressed, but really they just want to be the 798 00:51:20,360 --> 00:51:25,480 Speaker 1: ones doing the oppressing. Right Otherwise, explain to me what 799 00:51:25,640 --> 00:51:31,040 Speaker 1: Nancy Pelosi and Joe Biden and all these prominent Democrats, 800 00:51:31,200 --> 00:51:34,799 Speaker 1: what do they think they're really accomplishing with this the end, 801 00:51:34,840 --> 00:51:37,120 Speaker 1: it's just about power. It's certainly not about an accurate 802 00:51:37,160 --> 00:51:40,360 Speaker 1: reading of history. That's fine, I'm all for an accurate 803 00:51:40,360 --> 00:51:45,800 Speaker 1: reading of history. I'm not for the politicized, an exaggerated 804 00:51:45,880 --> 00:51:51,600 Speaker 1: version of specific points in history meant to justify abuse 805 00:51:51,719 --> 00:51:55,960 Speaker 1: of constitutional rights and equality under the law. Today, our 806 00:51:56,040 --> 00:52:00,799 Speaker 1: view is that it's going to take time workers to 807 00:52:00,840 --> 00:52:04,440 Speaker 1: regain confidence in the safety of the workplace, re established childcare, 808 00:52:04,520 --> 00:52:08,560 Speaker 1: school and commuting arrangements, and finish getting vaccinated and even 809 00:52:08,600 --> 00:52:11,600 Speaker 1: when individuals get their first dose. We've seen a huge 810 00:52:11,600 --> 00:52:14,200 Speaker 1: increase in that. As I started the briefing talking about 811 00:52:14,440 --> 00:52:16,680 Speaker 1: it's about a five to six week cycle, so we 812 00:52:16,960 --> 00:52:20,080 Speaker 1: have expected that to have an impact. At the same time, 813 00:52:20,239 --> 00:52:22,960 Speaker 1: as we look at all of the data, we know 814 00:52:23,239 --> 00:52:26,520 Speaker 1: that our economy is growing faster than any time and 815 00:52:26,560 --> 00:52:28,520 Speaker 1: then any time in the last forty years. We're creating 816 00:52:28,520 --> 00:52:31,160 Speaker 1: an average of five hundred thousand jobs a month, up 817 00:52:31,200 --> 00:52:35,320 Speaker 1: from sixty thousand a month before the President took office, 818 00:52:35,640 --> 00:52:39,120 Speaker 1: and we're continuing to put in place policies and measures. 819 00:52:39,160 --> 00:52:42,279 Speaker 1: Every decision that this White House has made, I would argue, 820 00:52:42,360 --> 00:52:49,560 Speaker 1: has made the job situation worse. Every decision that the 821 00:52:49,920 --> 00:52:55,839 Speaker 1: White House has put into places. There's a lot that 822 00:52:56,560 --> 00:52:59,239 Speaker 1: you can point to and say, well, the economy, you know, 823 00:53:00,120 --> 00:53:02,480 Speaker 1: is going to run at a certain paces. You know, 824 00:53:02,880 --> 00:53:05,480 Speaker 1: there's only so much damage in a certain period of 825 00:53:05,520 --> 00:53:08,600 Speaker 1: time that the Biden presidency can do to the economy. 826 00:53:08,960 --> 00:53:11,640 Speaker 1: And given that they've come into a period here in 827 00:53:11,640 --> 00:53:14,840 Speaker 1: America's history where we just went through a virus and 828 00:53:15,080 --> 00:53:21,000 Speaker 1: lockdown created recession instead of one that's actually a cyclical 829 00:53:21,080 --> 00:53:25,000 Speaker 1: economic recession, sure there's going to be a lot of 830 00:53:25,160 --> 00:53:29,040 Speaker 1: wind at the back of the economy right now, but 831 00:53:29,239 --> 00:53:31,480 Speaker 1: it's like we've got people on a sail. It's like 832 00:53:31,520 --> 00:53:34,520 Speaker 1: we have an amazing sailboat, and the sail is finally 833 00:53:34,600 --> 00:53:37,520 Speaker 1: down and sure, it's it's going in the right direction. 834 00:53:37,560 --> 00:53:40,760 Speaker 1: It's it's getting you know, it's it's picking up speed. 835 00:53:41,440 --> 00:53:45,360 Speaker 1: But the people that are actually on deck, the Biden 836 00:53:45,520 --> 00:53:50,480 Speaker 1: administration officials that are making decisions here, they're doing everything 837 00:53:50,800 --> 00:53:54,759 Speaker 1: to slow down and mess up that process. They want 838 00:53:54,800 --> 00:53:56,680 Speaker 1: to spend more money than they should, they want to 839 00:53:56,800 --> 00:53:59,880 Speaker 1: raise taxes, they want to regulate things. They want to 840 00:53:59,880 --> 00:54:06,120 Speaker 1: focus on punishing businesses and punishing prosperity, and it's just 841 00:54:07,160 --> 00:54:11,560 Speaker 1: it's maddening to watch. But on the worker shortage, they 842 00:54:11,560 --> 00:54:15,000 Speaker 1: don't seem to understand the role that a big part 843 00:54:15,040 --> 00:54:18,920 Speaker 1: of the Biden rescue Package was right, was that they 844 00:54:18,960 --> 00:54:24,040 Speaker 1: were supposed to be all of this. The Biden rescue 845 00:54:24,080 --> 00:54:27,920 Speaker 1: Package sent all these checks to people and in some cases, 846 00:54:28,000 --> 00:54:29,799 Speaker 1: you're going to be making more money to stay home. 847 00:54:30,320 --> 00:54:32,200 Speaker 1: That has had an effect. That's why a number of 848 00:54:32,239 --> 00:54:34,640 Speaker 1: states have said they're not going to do that anymore. 849 00:54:35,120 --> 00:54:38,440 Speaker 1: They're they're not going to be distributing those extra unemployment funds. 850 00:54:39,320 --> 00:54:43,920 Speaker 1: They've said enough is enough. And this idea that workers 851 00:54:44,520 --> 00:54:48,319 Speaker 1: aren't confident in the safety of the workplace, Yeah, there 852 00:54:48,320 --> 00:54:49,879 Speaker 1: are a lot of people out there that are still 853 00:54:50,000 --> 00:54:52,719 Speaker 1: paranoid about COVID. I get it. But if you've been 854 00:54:52,800 --> 00:54:56,319 Speaker 1: vaccinated and you won't go into your you won't go 855 00:54:56,360 --> 00:54:58,920 Speaker 1: into your office and you're supposed to, You've got to wonder, okay, well, 856 00:54:58,960 --> 00:55:00,319 Speaker 1: at what point do you think it is is going 857 00:55:00,320 --> 00:55:05,360 Speaker 1: to be safe? When does the mentality changer? Oh? One 858 00:55:05,360 --> 00:55:07,719 Speaker 1: thing I thought so interesting on vaccinations. I meant to 859 00:55:07,760 --> 00:55:11,080 Speaker 1: get to this. You know, I've been telling you along 860 00:55:11,160 --> 00:55:14,959 Speaker 1: that A big problem here for me with the way 861 00:55:15,000 --> 00:55:17,279 Speaker 1: that the public health bureaucrats have approached all of this 862 00:55:18,000 --> 00:55:23,400 Speaker 1: has been to suggest that they have data and facts 863 00:55:23,520 --> 00:55:27,440 Speaker 1: on their side for all these decisions. And there's nothing arbitrary. 864 00:55:27,560 --> 00:55:32,799 Speaker 1: There's no policy judgment involved here. It's just this is 865 00:55:32,920 --> 00:55:35,640 Speaker 1: what it is. We're telling you what the decision is. 866 00:55:36,800 --> 00:55:39,359 Speaker 1: It's like parents speaking to children. Because I said so, 867 00:55:40,200 --> 00:55:43,359 Speaker 1: I mean, here's the actual ahead of the CDC. Rochelle 868 00:55:43,360 --> 00:55:49,200 Speaker 1: Wallenski being asked about the vaccination goal for the Biden 869 00:55:49,200 --> 00:55:53,720 Speaker 1: administration of seventy percent. Why is that the goal? Play six? 870 00:55:54,280 --> 00:55:56,960 Speaker 1: We keep hearing that we need to reach seventy percent. 871 00:55:57,360 --> 00:56:01,560 Speaker 1: Why is the seventy percent number so effective? Important? Rather? Important? 872 00:56:01,880 --> 00:56:04,640 Speaker 1: You know, we want to get the majority of America vaccinated, 873 00:56:04,680 --> 00:56:07,040 Speaker 1: and after we get to seventy percent, my goal is 874 00:56:07,040 --> 00:56:09,200 Speaker 1: going to be to get to eighty percent. I think 875 00:56:09,239 --> 00:56:11,640 Speaker 1: what we really understand is that this virus is an 876 00:56:11,680 --> 00:56:14,200 Speaker 1: opportunist and it will go to places where people are 877 00:56:14,239 --> 00:56:17,839 Speaker 1: not vaccinated. And so you are safe if you are vaccinated. 878 00:56:17,880 --> 00:56:20,359 Speaker 1: You are not safe if you are not vaccinated. And 879 00:56:20,440 --> 00:56:23,120 Speaker 1: my job is to keep America safe. So we will 880 00:56:23,160 --> 00:56:25,440 Speaker 1: work to get to seventy percent on June fourth, and 881 00:56:25,480 --> 00:56:27,880 Speaker 1: then we will continue to work to get beyond that. 882 00:56:28,520 --> 00:56:31,080 Speaker 1: So why is it seventy or that's just the they 883 00:56:31,120 --> 00:56:32,719 Speaker 1: just came up with that number. Now I'm not saying 884 00:56:32,760 --> 00:56:35,360 Speaker 1: that's not a worthy goal or that's not you know, 885 00:56:35,360 --> 00:56:39,040 Speaker 1: a milestone of progress. I am saying that they often 886 00:56:39,080 --> 00:56:41,360 Speaker 1: just sort of pick something or they say this is 887 00:56:41,760 --> 00:56:44,520 Speaker 1: this is what the goal is. This is when it's safe. 888 00:56:46,400 --> 00:56:49,439 Speaker 1: Safe when you're talking about a virus like this has 889 00:56:50,120 --> 00:56:56,319 Speaker 1: always been a relative term. It's always been a relative term. 890 00:56:56,360 --> 00:56:58,560 Speaker 1: I mean, there's there's no such thing as perfect safety. 891 00:56:58,560 --> 00:57:01,040 Speaker 1: And in fact, a lot I think a big part 892 00:57:01,080 --> 00:57:05,880 Speaker 1: of the wrongness, if you will all along here from 893 00:57:05,880 --> 00:57:09,560 Speaker 1: the public Health bureaucrats has been to create this belief 894 00:57:10,080 --> 00:57:13,080 Speaker 1: that if you listen to them, you're going to be really, 895 00:57:13,120 --> 00:57:16,200 Speaker 1: really safe, and if you don't, you're reckless, when that's 896 00:57:16,240 --> 00:57:19,480 Speaker 1: just not true. I did all the stuff that they 897 00:57:19,520 --> 00:57:21,040 Speaker 1: made me do. I didn't want to do it, but 898 00:57:21,120 --> 00:57:23,360 Speaker 1: all the mask and all this stuff, and it took 899 00:57:23,400 --> 00:57:25,840 Speaker 1: me a year to get COVID. And I sit here 900 00:57:25,880 --> 00:57:27,760 Speaker 1: and say, so, all those times that I was masked 901 00:57:27,840 --> 00:57:30,360 Speaker 1: up and all this stuff that I did it, what 902 00:57:30,440 --> 00:57:33,440 Speaker 1: was the point of it. There was no point I 903 00:57:33,520 --> 00:57:36,520 Speaker 1: got COVID anyway. So why was I being put through 904 00:57:36,560 --> 00:57:38,560 Speaker 1: all that? Oh, and the hopes that maybe I wouldn't 905 00:57:38,560 --> 00:57:40,120 Speaker 1: get it? Well, given the kind of things that I 906 00:57:40,160 --> 00:57:41,720 Speaker 1: was doing in the life that I was leading, going 907 00:57:41,760 --> 00:57:45,880 Speaker 1: into offices, going in stores, and being around people, even 908 00:57:45,920 --> 00:57:49,840 Speaker 1: with all the restrictions, what they were what they were 909 00:57:49,880 --> 00:57:53,240 Speaker 1: promising me, which was that i'd I'd be protected. That's 910 00:57:53,240 --> 00:57:57,240 Speaker 1: the implicit promise. That's just not true. They couldn't protect me, 911 00:57:57,280 --> 00:58:00,320 Speaker 1: They couldn't protect any of us, but they act like 912 00:58:00,440 --> 00:58:04,120 Speaker 1: they could and made decisions based upon that false promise. 913 00:58:04,200 --> 00:58:07,080 Speaker 1: So yeah, why is it seventy percent? Well, because it'll 914 00:58:07,120 --> 00:58:09,840 Speaker 1: be eighty percent after at seventy percent, just like with 915 00:58:09,880 --> 00:58:11,880 Speaker 1: so many other things, making it up as they go along. 916 00:58:12,040 --> 00:58:14,480 Speaker 1: Does it make sense that the same company who controls 917 00:58:14,520 --> 00:58:18,440 Speaker 1: half of all online retail also passively eavesdrops on your 918 00:58:18,440 --> 00:58:21,160 Speaker 1: private conversations at home? What about the idea that a 919 00:58:21,200 --> 00:58:25,320 Speaker 1: single company controls ninety percent of Internet searches, runs your 920 00:58:25,360 --> 00:58:28,520 Speaker 1: email service, and gets to track everything you do on 921 00:58:28,560 --> 00:58:32,200 Speaker 1: your smartphone. Big tech is more powerful than most countries are, 922 00:58:32,240 --> 00:58:35,760 Speaker 1: and they profit by exploiting your personal data. It's time 923 00:58:35,800 --> 00:58:38,720 Speaker 1: to put a layer of protection between your online activity 924 00:58:38,800 --> 00:58:43,680 Speaker 1: and these tech juggernauts. And that's why I use Express VPN. 925 00:58:44,000 --> 00:58:45,640 Speaker 1: All right, Think about how much of your life is 926 00:58:45,640 --> 00:58:48,800 Speaker 1: on the Internet these days. Unfortunately, every site you visit, 927 00:58:49,120 --> 00:58:52,520 Speaker 1: every video you watch, or message you send gets tracked 928 00:58:52,560 --> 00:58:55,520 Speaker 1: and data. Mind but when you run Express VPN on 929 00:58:55,560 --> 00:58:59,360 Speaker 1: your device, the software hides your IP address, something big 930 00:58:59,400 --> 00:59:02,720 Speaker 1: tech can you to personally identify you, so Express VPN 931 00:59:02,840 --> 00:59:06,280 Speaker 1: makes your activity harder to trace and sell to advertisers. 932 00:59:06,640 --> 00:59:09,560 Speaker 1: Express VPN also encrypts one one hundred percent of your 933 00:59:09,560 --> 00:59:12,840 Speaker 1: Internet data to keep you safe from hackers and eavesdroppers 934 00:59:12,960 --> 00:59:16,120 Speaker 1: on your network. And Express VPN does all this without 935 00:59:16,160 --> 00:59:18,840 Speaker 1: slowing your connection. That's why it's rated the number one 936 00:59:18,920 --> 00:59:22,040 Speaker 1: VPN service by cnet and Wired. What I like most 937 00:59:22,040 --> 00:59:24,640 Speaker 1: about Express vpn is how easy it is to use. 938 00:59:25,040 --> 00:59:27,640 Speaker 1: Download the app on your phone or computer, tap one 939 00:59:27,680 --> 00:59:31,479 Speaker 1: button and you're protected. Stop handing over your personal data 940 00:59:31,520 --> 00:59:33,920 Speaker 1: to the big tech monopoly that minds your activity and 941 00:59:33,960 --> 00:59:37,920 Speaker 1: sells your information. Protect yourself with a VPN I trust 942 00:59:37,960 --> 00:59:41,680 Speaker 1: to keep me safe online. Visit Express vpn dot com 943 00:59:41,680 --> 00:59:46,400 Speaker 1: slash buck that's Express vpn dot com slash buck. To 944 00:59:46,480 --> 00:59:49,600 Speaker 1: get three extra months free on a one year package, 945 00:59:49,880 --> 00:59:54,760 Speaker 1: go to this website now protect yourself today express vpn 946 00:59:55,320 --> 00:59:58,640 Speaker 1: dot com slash buck to learn more. Members of the 947 00:59:58,720 --> 01:00:02,840 Speaker 1: United States Senate have chosen to view through a political lens, 948 01:00:03,480 --> 01:00:07,080 Speaker 1: a massive security breach on the US Capitol. I did 949 01:00:07,120 --> 01:00:11,520 Speaker 1: some research this morning, and I discovered that the legislation 950 01:00:11,640 --> 01:00:14,000 Speaker 1: to create the nine to eleven Commission in two thousand 951 01:00:14,040 --> 01:00:16,320 Speaker 1: and two passed the US Senate by a vote of 952 01:00:16,440 --> 01:00:19,080 Speaker 1: ninety to eight. That's a lot of Democrats, that's a 953 01:00:19,080 --> 01:00:23,080 Speaker 1: lot of Republicans. Imagine if the nine to eleven legislation 954 01:00:23,280 --> 01:00:28,760 Speaker 1: failed to pass because Republicans didn't want to embarrass President Bush. 955 01:00:28,800 --> 01:00:32,120 Speaker 1: For example, because nine to eleven happened on his watch. 956 01:00:33,600 --> 01:00:36,520 Speaker 1: This needs to be viewed as a security issue. It 957 01:00:36,600 --> 01:00:39,000 Speaker 1: was an attack on the cradle of our democracy during 958 01:00:39,040 --> 01:00:43,320 Speaker 1: a constitutional function, and it demonstrates that there are major 959 01:00:43,440 --> 01:00:47,840 Speaker 1: gaps in the jurisdiction and the command and control relationships 960 01:00:47,880 --> 01:00:51,720 Speaker 1: between the Capitol Police, the National Guard, the Secret Service, 961 01:00:52,040 --> 01:00:57,440 Speaker 1: and a host of other law enforcement organizations. Jay Johnson saying, 962 01:00:57,640 --> 01:01:00,720 Speaker 1: imagine if the nine to eleven legislation failed to pass 963 01:01:00,840 --> 01:01:07,400 Speaker 1: and and explicitly comparing nine to eleven to January sixth 964 01:01:07,640 --> 01:01:12,920 Speaker 1: as as attacks on our democracy. Let's get some perspective 965 01:01:12,960 --> 01:01:16,919 Speaker 1: here from our friend Pedro Gonzalez, who is now associate 966 01:01:17,040 --> 01:01:22,120 Speaker 1: editor at Chronicles magazine. Pedro, great to have you, Hey, 967 01:01:22,120 --> 01:01:24,600 Speaker 1: book always going to be here. There's just a part 968 01:01:24,640 --> 01:01:27,520 Speaker 1: of me that wants to throw my hands up in 969 01:01:27,560 --> 01:01:31,600 Speaker 1: the air and shout profanity when they do this, Pedro, 970 01:01:31,680 --> 01:01:34,439 Speaker 1: But I know that's not that's not really helpful, right, 971 01:01:34,480 --> 01:01:37,360 Speaker 1: So so take us through, Oh it might feel good, 972 01:01:37,680 --> 01:01:41,760 Speaker 1: take us through your sense of how they expect anybody 973 01:01:42,720 --> 01:01:46,920 Speaker 1: to take them seriously when they're going to compare the 974 01:01:47,480 --> 01:01:52,920 Speaker 1: you know, the the the destruction of multiple buildings, uh skyscrapers, 975 01:01:53,320 --> 01:01:57,200 Speaker 1: the deaths of almost three thousand people, an attack on 976 01:01:57,280 --> 01:02:02,760 Speaker 1: us by al Qaeda which intended to eradicate American civilization 977 01:02:03,320 --> 01:02:07,360 Speaker 1: if it could with what happened on January sixth, a 978 01:02:07,520 --> 01:02:10,840 Speaker 1: riot where people were taking selfies inside the Capitol and 979 01:02:10,960 --> 01:02:14,360 Speaker 1: talking to Capitol Hill police and dressed up with you, 980 01:02:14,520 --> 01:02:18,000 Speaker 1: dressed up as qan On Shaman. How does this happen? 981 01:02:18,120 --> 01:02:20,000 Speaker 1: How do we get to the point where the establishment 982 01:02:20,000 --> 01:02:24,760 Speaker 1: and the elites think this is a reasonable comparison. I 983 01:02:24,800 --> 01:02:28,680 Speaker 1: don't know that they actually think that, and I think 984 01:02:28,720 --> 01:02:32,080 Speaker 1: it might actually be irrelevant if they really do. In 985 01:02:32,120 --> 01:02:36,280 Speaker 1: other words, people like AOC might really actually think that 986 01:02:36,600 --> 01:02:40,320 Speaker 1: what she lived through is the equivalent of combat experience, 987 01:02:41,320 --> 01:02:43,520 Speaker 1: And then there are others who are saying that but 988 01:02:43,520 --> 01:02:45,920 Speaker 1: they don't really believe it. But in other case, the 989 01:02:45,960 --> 01:02:52,760 Speaker 1: outcome is the same. You're seeing this kind of failanx 990 01:02:52,960 --> 01:02:58,080 Speaker 1: that is closing in on opposition towards this commission, and 991 01:02:58,360 --> 01:03:01,200 Speaker 1: the reality of this commission, I think is that it's 992 01:03:01,240 --> 01:03:05,360 Speaker 1: going to justify a kind of Patriot Act two point 993 01:03:05,440 --> 01:03:10,320 Speaker 1: z federal agenda in the sense that well, okay, because 994 01:03:11,640 --> 01:03:13,560 Speaker 1: I think calling it a commission is kind of funny, 995 01:03:13,600 --> 01:03:17,000 Speaker 1: because they're already there's already a conclusion. I think, like, 996 01:03:17,240 --> 01:03:20,280 Speaker 1: so they're basically building a commission around a conclusion, because 997 01:03:20,280 --> 01:03:22,520 Speaker 1: the purpose of the commission, of course is to investigate it. 998 01:03:22,560 --> 01:03:24,000 Speaker 1: But they I mean like they already know what they 999 01:03:24,000 --> 01:03:26,560 Speaker 1: want to find, right, they just want to I guess, 1000 01:03:26,960 --> 01:03:30,000 Speaker 1: add some window dressing to it. But I think that 1001 01:03:30,040 --> 01:03:34,520 Speaker 1: the real and very clear threat is that this commission 1002 01:03:34,520 --> 01:03:39,080 Speaker 1: will be used to justify the expansion the size and 1003 01:03:39,160 --> 01:03:42,120 Speaker 1: scope of the federal government in what we're going to 1004 01:03:42,120 --> 01:03:47,560 Speaker 1: be told is domestic counterinsurgency, counter extremism. So what does 1005 01:03:47,560 --> 01:03:49,760 Speaker 1: that mean? In practice? It means, well, maybe the FBI 1006 01:03:49,920 --> 01:03:53,440 Speaker 1: needs a bigger purview of what they're allowed to do 1007 01:03:53,480 --> 01:03:56,160 Speaker 1: and how they're allowed to infringe on your privacy. Maybe 1008 01:03:56,160 --> 01:03:58,520 Speaker 1: they need more control of a cryptocurrency because you know, 1009 01:03:58,680 --> 01:04:03,320 Speaker 1: like guys that were involved in the people that were 1010 01:04:03,560 --> 01:04:07,320 Speaker 1: around the events of January sixth, traffic and crypto, so 1011 01:04:07,480 --> 01:04:09,960 Speaker 1: you know, this is a decentralized currency and that's very dangerous. 1012 01:04:09,960 --> 01:04:12,840 Speaker 1: It's associated with white supremacies. So this is something that 1013 01:04:12,840 --> 01:04:16,760 Speaker 1: we need to kill in the cradle, or we need 1014 01:04:16,800 --> 01:04:21,040 Speaker 1: to step up the posts. Post Office their efforts to 1015 01:04:21,600 --> 01:04:24,480 Speaker 1: you thought the postman was reading your mail. He's actually 1016 01:04:24,560 --> 01:04:27,919 Speaker 1: checking your social media. I didn't even know that there's 1017 01:04:27,920 --> 01:04:32,720 Speaker 1: a barely there's a US postal like law enforcement arm 1018 01:04:32,760 --> 01:04:34,840 Speaker 1: and this is what they're actually doing. They're trawling through 1019 01:04:34,880 --> 01:04:38,080 Speaker 1: social media and leaked documents and the intercept show that 1020 01:04:38,120 --> 01:04:41,360 Speaker 1: they take an interest in everything from pro Trump postings 1021 01:04:41,400 --> 01:04:44,840 Speaker 1: to anti lockdown postings on social media. And I think 1022 01:04:44,960 --> 01:04:47,080 Speaker 1: this is the direction that this will go in. We 1023 01:04:47,120 --> 01:04:49,920 Speaker 1: need to step up these efforts to root out extremism, 1024 01:04:50,160 --> 01:04:52,680 Speaker 1: which really just means the federal government will have more 1025 01:04:53,720 --> 01:04:56,120 Speaker 1: control of your life and be able to infringe on 1026 01:04:56,520 --> 01:04:59,240 Speaker 1: what little rights you still have left even more on 1027 01:04:59,280 --> 01:05:03,160 Speaker 1: the grounds that this is about fighting extremism and specifically 1028 01:05:03,160 --> 01:05:05,560 Speaker 1: white supremacy, and I think that's really the point of 1029 01:05:06,480 --> 01:05:08,600 Speaker 1: Like you ask, how did we get here in a 1030 01:05:08,680 --> 01:05:12,200 Speaker 1: kind of rational way, Well, there's nothing rational about it. 1031 01:05:12,280 --> 01:05:16,640 Speaker 1: They're using the cudgel of white supremacy, the scarecrow of 1032 01:05:16,680 --> 01:05:21,360 Speaker 1: that to beat opposition into silence, and it's working. It's amazing, Pedro, 1033 01:05:21,520 --> 01:05:26,920 Speaker 1: because this is really, in a sense, just creating a 1034 01:05:27,080 --> 01:05:33,640 Speaker 1: new approach to the same weaponization of the apparatus. Right 1035 01:05:33,680 --> 01:05:35,800 Speaker 1: that there's a new lie here, but it reminds me 1036 01:05:35,880 --> 01:05:39,240 Speaker 1: a lot of what we went through with the Russia 1037 01:05:39,280 --> 01:05:43,240 Speaker 1: collusion situation. Right, Russia collusion for four years of the 1038 01:05:43,280 --> 01:05:51,240 Speaker 1: Trump presidency was used in order to justify outright journalism hostility. 1039 01:05:51,280 --> 01:05:55,480 Speaker 1: I mean, the profession of journalism effectively viewed itself as 1040 01:05:55,520 --> 01:05:59,120 Speaker 1: an opposition to Donald Trump, and they used the Russia, 1041 01:05:59,320 --> 01:06:02,560 Speaker 1: the Russia lie of Trump worked with the Russians to 1042 01:06:02,560 --> 01:06:05,280 Speaker 1: steal the election. And by the way, they said the 1043 01:06:05,280 --> 01:06:07,120 Speaker 1: election was stolen, as we all know, that was a 1044 01:06:07,440 --> 01:06:11,080 Speaker 1: that was a prominent theme all along. Hillary Clinton herself said, 1045 01:06:11,120 --> 01:06:14,880 Speaker 1: the Russians hacked our democracy. So it's interesting that they 1046 01:06:15,360 --> 01:06:18,360 Speaker 1: seem to be accusing. And now, of course it's oh, 1047 01:06:18,000 --> 01:06:21,400 Speaker 1: the white supremacist insurrection that could come back at any 1048 01:06:21,440 --> 01:06:24,800 Speaker 1: moment in time. There are real problems that this country 1049 01:06:24,840 --> 01:06:26,720 Speaker 1: has and things that need to be dealt with, but 1050 01:06:26,920 --> 01:06:31,440 Speaker 1: they focus in on these largely fanciful There's always a 1051 01:06:31,560 --> 01:06:33,880 Speaker 1: some grain or some basis of truth in this. Just 1052 01:06:33,960 --> 01:06:37,920 Speaker 1: like Soviet propaganda, there was always some flimsy basis for 1053 01:06:38,440 --> 01:06:42,160 Speaker 1: most of it, and that it was wildly exaggerated. This 1054 01:06:42,200 --> 01:06:45,160 Speaker 1: seems to be the playbook now, instead of battling with 1055 01:06:45,280 --> 01:06:47,640 Speaker 1: us on you know, the best way to grow jobs 1056 01:06:47,640 --> 01:06:50,600 Speaker 1: in instead of battling with us on what US foreign 1057 01:06:50,600 --> 01:06:53,880 Speaker 1: policy should really look like going forward. It's the other 1058 01:06:53,920 --> 01:06:58,160 Speaker 1: side is evil and must be stopped at any cost, 1059 01:06:58,240 --> 01:07:01,000 Speaker 1: the other side being conservatives. Any buy that stands. Athward 1060 01:07:01,080 --> 01:07:05,720 Speaker 1: Biden says, what are you doing, you crazy old man? Right, No, 1061 01:07:06,000 --> 01:07:10,240 Speaker 1: that's exactly right. And again, the specter of white supremacy 1062 01:07:10,720 --> 01:07:13,440 Speaker 1: is paralyzing for a lot of people. They don't know 1063 01:07:13,480 --> 01:07:16,320 Speaker 1: how to react to it except but to acquiesce, like, okay, well, 1064 01:07:16,320 --> 01:07:18,520 Speaker 1: we can agree to a commission, but promise that you'll 1065 01:07:18,520 --> 01:07:22,320 Speaker 1: limit the scope to actual extremists, Like that's a total 1066 01:07:22,840 --> 01:07:25,360 Speaker 1: Like you've already lost if you've already if that's where 1067 01:07:25,360 --> 01:07:27,840 Speaker 1: you're at mentally, when you've already give it up and 1068 01:07:27,960 --> 01:07:31,320 Speaker 1: you're it's not going to end well for you or 1069 01:07:31,360 --> 01:07:35,040 Speaker 1: for the people that you're representing. And I think about 1070 01:07:35,120 --> 01:07:38,400 Speaker 1: how right now, I think we might have spoken about 1071 01:07:38,400 --> 01:07:40,600 Speaker 1: this before, that the Pentagon is actually doing this right now, 1072 01:07:41,040 --> 01:07:45,320 Speaker 1: where under the pretext of combating extremism in their own ranks, 1073 01:07:46,080 --> 01:07:48,120 Speaker 1: this is really funny. They're actually looking to work with 1074 01:07:48,160 --> 01:07:52,640 Speaker 1: a private company to circumnavigate First Amendment rights and surveil 1075 01:07:52,760 --> 01:07:55,200 Speaker 1: their troops, and that's where it starts. But then of 1076 01:07:55,200 --> 01:07:58,720 Speaker 1: course it expands and goes on to everyone else. And 1077 01:07:58,960 --> 01:08:01,560 Speaker 1: it's really interesting that you're seeing, like you said, the 1078 01:08:02,040 --> 01:08:07,480 Speaker 1: like even the foreign policy apparatus, like the Pentagon is 1079 01:08:07,560 --> 01:08:13,480 Speaker 1: increasingly turning its eye toward domestic affairs. And the attitude 1080 01:08:13,880 --> 01:08:17,160 Speaker 1: of the bureaucracy in the Pentagon and elsewhere is that 1081 01:08:17,200 --> 01:08:20,080 Speaker 1: they're they're dealing with what is essentially a low intensity 1082 01:08:20,439 --> 01:08:23,360 Speaker 1: insurgency within the United States, which is what we've been 1083 01:08:23,400 --> 01:08:25,400 Speaker 1: dealing with in the Middle East, where you know, we 1084 01:08:25,640 --> 01:08:28,000 Speaker 1: need people patrolling all the time, we have to win 1085 01:08:28,080 --> 01:08:31,880 Speaker 1: hearts and minds. Like that's basically what you're seeing in 1086 01:08:31,920 --> 01:08:34,840 Speaker 1: the United States, and like you said, it's it's being 1087 01:08:34,920 --> 01:08:39,200 Speaker 1: framed as a response to this real existential, nation ending 1088 01:08:39,280 --> 01:08:45,320 Speaker 1: threat of white supremacy. There's a really interesting analogy here 1089 01:08:45,320 --> 01:08:48,000 Speaker 1: that I think is it's it's specifically about gun violence. 1090 01:08:48,040 --> 01:08:51,439 Speaker 1: There is a study publishing a Journal of Interpersonal Violence 1091 01:08:51,880 --> 01:08:55,559 Speaker 1: pretty recently, and the authors of this study concluded that 1092 01:08:55,680 --> 01:08:58,439 Speaker 1: mass shootings are actually not like that common, Like you're 1093 01:08:58,479 --> 01:09:00,800 Speaker 1: you're more likely to to like get eaten by a 1094 01:09:00,840 --> 01:09:03,960 Speaker 1: shark then end up into mass shooting something along like 1095 01:09:04,000 --> 01:09:08,000 Speaker 1: something really you know, really rare along those lines. And 1096 01:09:08,160 --> 01:09:10,559 Speaker 1: the authors, so the question that they have to answer, 1097 01:09:10,720 --> 01:09:12,960 Speaker 1: considering that that was their conclusion, well, why does it 1098 01:09:12,960 --> 01:09:16,600 Speaker 1: seem the opposite, like why do people why are so 1099 01:09:16,640 --> 01:09:20,160 Speaker 1: many people terrified of getting caught in a mass shooting? 1100 01:09:20,760 --> 01:09:24,240 Speaker 1: And these authors concluded that they called the social construction 1101 01:09:24,280 --> 01:09:28,120 Speaker 1: of violence that like surprise, They concluded that media basically 1102 01:09:28,160 --> 01:09:32,920 Speaker 1: creates this false representation of an issue, and in this 1103 01:09:32,920 --> 01:09:35,960 Speaker 1: case mass shootings, that that's literally what they attributed it 1104 01:09:36,000 --> 01:09:39,680 Speaker 1: to was because the media has made people believe that 1105 01:09:39,720 --> 01:09:42,439 Speaker 1: mass shootings are a much larger problem than they actually are, 1106 01:09:42,840 --> 01:09:45,599 Speaker 1: and that the social construction of violence in the case 1107 01:09:45,640 --> 01:09:47,519 Speaker 1: of mass shootings, I think it applies to everything else, 1108 01:09:47,520 --> 01:09:50,439 Speaker 1: like white supremacy. Like the reason that people really think 1109 01:09:50,439 --> 01:09:53,240 Speaker 1: that white supremacy is an existential threat is because that 1110 01:09:53,400 --> 01:09:55,640 Speaker 1: is what the media has told them, That's what academia 1111 01:09:55,680 --> 01:09:57,840 Speaker 1: has told. The guy that's in charge of implementing this 1112 01:09:58,840 --> 01:10:01,640 Speaker 1: counter extremism pro grant for the Pentagon, his name is 1113 01:10:01,640 --> 01:10:06,479 Speaker 1: Bishop Garrison. He has explicitly connected his support to the 1114 01:10:06,520 --> 01:10:09,799 Speaker 1: sixty nineteen project to what he's doing with the Pentagon 1115 01:10:09,920 --> 01:10:12,840 Speaker 1: now and and and he has written in his name 1116 01:10:13,160 --> 01:10:16,920 Speaker 1: that white supremacy is a nation ending threat that needs 1117 01:10:16,960 --> 01:10:20,280 Speaker 1: to be dealt with as such. Speaking of Pedro Gonzalez, 1118 01:10:20,280 --> 01:10:25,280 Speaker 1: he is assistant editor at Chronicles magazine. Pedro, just switching 1119 01:10:25,280 --> 01:10:27,680 Speaker 1: gears for a second here. I saw a tweet from 1120 01:10:27,720 --> 01:10:29,240 Speaker 1: you on this, and I wanted to give you an 1121 01:10:29,240 --> 01:10:32,000 Speaker 1: opportunity to expand on an on air because I agree 1122 01:10:32,520 --> 01:10:35,040 Speaker 1: with your sentiment. And we keep hearing about and in 1123 01:10:35,080 --> 01:10:39,160 Speaker 1: the White House has even had to address the labor shortage, 1124 01:10:39,600 --> 01:10:43,080 Speaker 1: and this I always want to say, well, there's there's 1125 01:10:43,080 --> 01:10:46,439 Speaker 1: a labor shortage if you view this as something that 1126 01:10:47,000 --> 01:10:49,679 Speaker 1: you know that that cannot be addressed by something called 1127 01:10:49,880 --> 01:10:53,960 Speaker 1: higher wages, which which is usually how you could address 1128 01:10:54,439 --> 01:10:57,920 Speaker 1: a labor shortage. And I worry that Republicans here once again, 1129 01:10:58,720 --> 01:11:02,360 Speaker 1: because they're just so they're so into the corporate donor 1130 01:11:02,439 --> 01:11:05,519 Speaker 1: class pro business narrative of things, don't see this as 1131 01:11:05,560 --> 01:11:07,280 Speaker 1: an opportunity to be like, yeah, this is why we 1132 01:11:07,280 --> 01:11:10,080 Speaker 1: need secure borders, because when businesses can't get people to 1133 01:11:10,080 --> 01:11:12,280 Speaker 1: come in paying what they pay, they're gonna have to 1134 01:11:12,280 --> 01:11:14,479 Speaker 1: pay people more to get them to come in. That's 1135 01:11:14,520 --> 01:11:18,920 Speaker 1: actually what we want to happen, we won't wages to rise, right, 1136 01:11:19,280 --> 01:11:21,479 Speaker 1: And I think when you have this discussion, you should 1137 01:11:21,520 --> 01:11:24,960 Speaker 1: start by saying, let's separate how we feel about the 1138 01:11:25,800 --> 01:11:29,800 Speaker 1: unemployment benefits in terms of ideology, Like if you're a conservative, 1139 01:11:29,840 --> 01:11:32,519 Speaker 1: like you have these kind of reflexive responses, right, and 1140 01:11:32,560 --> 01:11:35,840 Speaker 1: that's understandable, but let's try to separate how we feel 1141 01:11:35,840 --> 01:11:39,479 Speaker 1: about the unemployment benefits for just for a moment. Basically, 1142 01:11:39,720 --> 01:11:41,719 Speaker 1: because the GOP, at the same time that it's telling 1143 01:11:41,720 --> 01:11:44,960 Speaker 1: people that it's a working class party, it opposes these 1144 01:11:45,040 --> 01:11:48,960 Speaker 1: unemployment benefits. It also opposes raising the minimum wage. It 1145 01:11:49,080 --> 01:11:53,080 Speaker 1: also opposes private sector unionization. It also doesn't want to 1146 01:11:53,120 --> 01:11:56,880 Speaker 1: stem the tide of legal immigration. The GOOP loves legal immigration. Right. 1147 01:11:57,880 --> 01:11:59,920 Speaker 1: Do you see the problem here? We're working class, but 1148 01:12:00,040 --> 01:12:05,080 Speaker 1: we we totally reject every way to help the actual 1149 01:12:05,080 --> 01:12:08,000 Speaker 1: working class. And all the things I just outlined, whether 1150 01:12:08,040 --> 01:12:09,920 Speaker 1: you like I said, whether you agree with them or not, 1151 01:12:09,960 --> 01:12:11,960 Speaker 1: and maybe there are like two that you agree with 1152 01:12:12,000 --> 01:12:13,840 Speaker 1: and like three that you doubt, but all of these 1153 01:12:13,880 --> 01:12:17,680 Speaker 1: things are proven ways to basically increase people's lot. The 1154 01:12:17,760 --> 01:12:21,280 Speaker 1: GOP opposes all of them, and they're doing that at 1155 01:12:21,280 --> 01:12:24,160 Speaker 1: the same time they're telling you we're working class party. 1156 01:12:24,320 --> 01:12:26,960 Speaker 1: And if you're opposed to the minimum wage and unionization, 1157 01:12:27,439 --> 01:12:31,839 Speaker 1: then what's the alternative, Well, restricting immigration as much as possible, 1158 01:12:32,479 --> 01:12:36,599 Speaker 1: which increases which creates a tight labor market. Right, so 1159 01:12:36,640 --> 01:12:38,080 Speaker 1: that like that that should be a good thing. But 1160 01:12:38,120 --> 01:12:40,680 Speaker 1: of course we were in this weird position where we 1161 01:12:40,760 --> 01:12:44,200 Speaker 1: haven't decreased levels of immigration. Actually at COVID actually kind 1162 01:12:44,200 --> 01:12:47,880 Speaker 1: of did that for us, ironically, And what we have 1163 01:12:47,960 --> 01:12:50,719 Speaker 1: what people are calling an artificially type labor market because 1164 01:12:50,800 --> 01:12:55,560 Speaker 1: unemployment benefits, the enhanced unemployment benefits are allowing people to subsist. 1165 01:12:57,560 --> 01:13:00,960 Speaker 1: And so people, like I said, because that's in their 1166 01:13:01,000 --> 01:13:04,880 Speaker 1: eyes artificial somehow it's not okay. But I've spoken, And 1167 01:13:05,120 --> 01:13:07,280 Speaker 1: of course there's always going to be moochers like people 1168 01:13:07,320 --> 01:13:09,720 Speaker 1: that will just not work and they'll scrape by on 1169 01:13:10,000 --> 01:13:13,280 Speaker 1: the benefits, which won't help them very much for long 1170 01:13:13,280 --> 01:13:16,479 Speaker 1: because inflation and all that. But I've also spoken to 1171 01:13:16,479 --> 01:13:19,559 Speaker 1: people who worked in Amazon warehouses and they were able 1172 01:13:19,600 --> 01:13:23,360 Speaker 1: to get by on unemployment, put themselves through vocational like 1173 01:13:23,560 --> 01:13:26,719 Speaker 1: get a vocational training for a for a much better career, 1174 01:13:27,640 --> 01:13:30,040 Speaker 1: and like I interviewed a couple of I'm going to 1175 01:13:30,080 --> 01:13:32,400 Speaker 1: write about this. But that's that's what they did with 1176 01:13:32,400 --> 01:13:35,640 Speaker 1: their benefits. They got training, they got new skills, h 1177 01:13:35,720 --> 01:13:37,840 Speaker 1: and they're going to move on to a much much 1178 01:13:37,880 --> 01:13:41,599 Speaker 1: better job that allows them to actually have a life 1179 01:13:41,840 --> 01:13:44,040 Speaker 1: and not work three dead end jobs at one time. 1180 01:13:44,400 --> 01:13:46,120 Speaker 1: And the answer that I got from the one guy 1181 01:13:46,200 --> 01:13:49,320 Speaker 1: was not going back to the Amazon warehouse, Like and 1182 01:13:49,360 --> 01:13:53,160 Speaker 1: if I can basically get by on benefits until I 1183 01:13:53,200 --> 01:13:55,120 Speaker 1: get the skills that I need to get a better job, 1184 01:13:55,120 --> 01:13:57,200 Speaker 1: and that's what I'm going to do. And like he's 1185 01:13:57,240 --> 01:13:59,799 Speaker 1: not eating lobster every night, like it's actually pretty difficult 1186 01:14:00,040 --> 01:14:02,040 Speaker 1: to get by and like payrette and stuff. But at 1187 01:14:02,040 --> 01:14:04,400 Speaker 1: the same time that he's doing that, he's in the evenings, 1188 01:14:04,400 --> 01:14:07,360 Speaker 1: he's getting vocational training. It's something to do with engineering, 1189 01:14:07,760 --> 01:14:09,479 Speaker 1: and he's like he's going to be set when this 1190 01:14:09,600 --> 01:14:11,280 Speaker 1: is done. And but that was the thing that really 1191 01:14:11,320 --> 01:14:13,120 Speaker 1: stuck with me was he said, I'm not going back 1192 01:14:13,120 --> 01:14:16,600 Speaker 1: to the warehouse. And but of course Republicans are not 1193 01:14:16,640 --> 01:14:19,040 Speaker 1: considering this at all, Like as far as they're concerned, 1194 01:14:19,080 --> 01:14:21,639 Speaker 1: people like that, well they're lazy, you like, how dare 1195 01:14:21,680 --> 01:14:24,280 Speaker 1: you not want to go slave away in Jeff Bezos's warehouse? 1196 01:14:24,920 --> 01:14:28,000 Speaker 1: And again, I think that the stark hypocrisy of this 1197 01:14:28,160 --> 01:14:30,240 Speaker 1: is they're saying that at the same time that they're 1198 01:14:30,240 --> 01:14:33,600 Speaker 1: telling people that they're the working class party. Pedro Gonzalez, 1199 01:14:34,160 --> 01:14:38,760 Speaker 1: Chronicles Magazine Assistant Editor, Pedro, thank you so much. Thank you. No, 1200 01:14:38,960 --> 01:14:42,280 Speaker 1: it's amazing because we were talking about how important it 1201 01:14:42,360 --> 01:14:44,320 Speaker 1: was for everyone to get vaccinated, what a big deal 1202 01:14:44,320 --> 01:14:46,760 Speaker 1: it was to get vaccinated, so I thought that was 1203 01:14:46,800 --> 01:14:51,880 Speaker 1: all built in already, But getting that shot really was 1204 01:14:52,040 --> 01:14:59,160 Speaker 1: an amazing feeling. It hits you did cry. I cry it, 1205 01:14:59,320 --> 01:15:02,519 Speaker 1: you know movies. I didn't cry at the at the shot, 1206 01:15:02,560 --> 01:15:06,520 Speaker 1: but you know, it was a moment where where you realize, Okay, 1207 01:15:06,600 --> 01:15:08,960 Speaker 1: this is it. And it wasn't so much because I 1208 01:15:09,000 --> 01:15:10,880 Speaker 1: felt that I'm at a high risk because we're being 1209 01:15:10,880 --> 01:15:13,720 Speaker 1: careful and I'm healthy and I'm young and although but 1210 01:15:13,760 --> 01:15:16,720 Speaker 1: at the same time, it's knowing that each of us, 1211 01:15:16,880 --> 01:15:20,679 Speaker 1: doing our part is getting through this, because we don't 1212 01:15:20,680 --> 01:15:24,400 Speaker 1: get through this unless the vast majority of the population 1213 01:15:24,800 --> 01:15:27,200 Speaker 1: gets that first shot and then a few months later 1214 01:15:27,280 --> 01:15:29,840 Speaker 1: gets that second shot. That's how we get through it. 1215 01:15:29,840 --> 01:15:32,640 Speaker 1: And it's something that everyone can do. And we're just 1216 01:15:32,680 --> 01:15:36,839 Speaker 1: seeing Canadians come out in such strong numbers all across 1217 01:15:36,880 --> 01:15:40,080 Speaker 1: the country to say, yeah, I want this COVID thing 1218 01:15:40,120 --> 01:15:42,479 Speaker 1: to end. I want to get back to normal. And 1219 01:15:42,520 --> 01:15:45,320 Speaker 1: the way to do that is to make sure everyone, 1220 01:15:45,400 --> 01:15:48,519 Speaker 1: even that crusty old uncle who resists or that friend 1221 01:15:48,560 --> 01:15:52,840 Speaker 1: who skeptical, encourage them, convinced them, tell them that they 1222 01:15:52,880 --> 01:15:55,920 Speaker 1: need to get to get vaccinated, because this is how 1223 01:15:56,160 --> 01:15:59,439 Speaker 1: we get through it. How the heck did this guy 1224 01:15:59,439 --> 01:16:03,680 Speaker 1: become I'm Minister of Canada, Canada? What's going on? I 1225 01:16:03,760 --> 01:16:08,160 Speaker 1: like Canadians, They're great people. It's like America Junior up there? 1226 01:16:08,920 --> 01:16:12,479 Speaker 1: What this guy is really your I know of our 1227 01:16:12,520 --> 01:16:16,160 Speaker 1: president is Biden's. Here are our brothers and sisters up 1228 01:16:16,200 --> 01:16:18,800 Speaker 1: to the up to the north. They probably are saying 1229 01:16:18,800 --> 01:16:20,920 Speaker 1: to themselves, are you're really gonna you're really gonna poke 1230 01:16:21,000 --> 01:16:24,200 Speaker 1: fun at us at least our guys of sound mind, 1231 01:16:24,280 --> 01:16:28,200 Speaker 1: which is I guess technically true. But they never take 1232 01:16:28,240 --> 01:16:30,439 Speaker 1: into account here A huge and this is just what 1233 01:16:30,520 --> 01:16:32,760 Speaker 1: made me think about this right now. A huge part 1234 01:16:32,800 --> 01:16:37,200 Speaker 1: of this is what about those who have recovered. Increasingly, 1235 01:16:37,240 --> 01:16:39,400 Speaker 1: the data seems seems to show that if you've had 1236 01:16:39,439 --> 01:16:43,519 Speaker 1: the virus, you're immune, perhaps forever, certainly for a long time. 1237 01:16:44,160 --> 01:16:46,600 Speaker 1: Certainly as long as what they're expecting the vaccines to 1238 01:16:46,600 --> 01:16:49,639 Speaker 1: give you immunity for it. So why don't they ever 1239 01:16:49,680 --> 01:16:52,320 Speaker 1: talk about that? No, you must get the shot. Shut 1240 01:16:52,400 --> 01:16:56,320 Speaker 1: up and listen. M I don't know about that. It's 1241 01:16:56,360 --> 01:16:58,679 Speaker 1: not going to be uniformed throughout the country, John, because 1242 01:16:58,720 --> 01:17:01,280 Speaker 1: if you look at the map the percentage of people 1243 01:17:01,880 --> 01:17:05,800 Speaker 1: in different states that have reached a certain level of 1244 01:17:06,080 --> 01:17:09,599 Speaker 1: vaccinated people certain percentage that if you have a very 1245 01:17:09,680 --> 01:17:13,040 Speaker 1: high percentage of people vaccinated, you're not going to see 1246 01:17:13,080 --> 01:17:15,760 Speaker 1: a substantial blit. You may see a little, but not 1247 01:17:15,800 --> 01:17:20,280 Speaker 1: anything that even resembles a serge. What my concern is 1248 01:17:20,280 --> 01:17:23,320 Speaker 1: is in those states in which you have relatively few 1249 01:17:23,520 --> 01:17:27,479 Speaker 1: compared to others, people have vaccinated. When you're below fifty 1250 01:17:27,479 --> 01:17:30,519 Speaker 1: percent of the people being vaccinated, that's when you're going 1251 01:17:30,560 --> 01:17:33,280 Speaker 1: to have a problem. I think given the country as 1252 01:17:33,320 --> 01:17:36,439 Speaker 1: a whole, the fact that we have now about fifty 1253 01:17:36,439 --> 01:17:40,240 Speaker 1: percent of adults fully vaccinated and about sixty two percent 1254 01:17:40,280 --> 01:17:44,320 Speaker 1: of adults having received at least one dose as a nation, 1255 01:17:45,000 --> 01:17:47,800 Speaker 1: I feel fairly certain you're not going to see the 1256 01:17:47,880 --> 01:17:51,240 Speaker 1: kind of surges we've seen in the past. What I 1257 01:17:51,280 --> 01:17:55,080 Speaker 1: am concerned about those states in which the level of 1258 01:17:55,200 --> 01:17:59,800 Speaker 1: vaccination is low, that you may continue to see higher 1259 01:18:00,080 --> 01:18:04,639 Speaker 1: levels of cases as we get into the summit. You could, 1260 01:18:04,720 --> 01:18:08,360 Speaker 1: you know here and there and the percentages, and I'm 1261 01:18:08,400 --> 01:18:12,559 Speaker 1: worried about the plateau, and you don't have enough masks on, 1262 01:18:12,680 --> 01:18:16,400 Speaker 1: so the droplets may come out of your mask. And 1263 01:18:16,640 --> 01:18:19,479 Speaker 1: you know, what will it take for us to be 1264 01:18:19,640 --> 01:18:23,840 Speaker 1: free of this faucci? I think we're only free of 1265 01:18:23,880 --> 01:18:27,160 Speaker 1: him when we decide that we can't take it anymore, 1266 01:18:27,720 --> 01:18:31,080 Speaker 1: that we've just we've reached the point of fauci no return. 1267 01:18:32,000 --> 01:18:35,599 Speaker 1: We just have to say that this guy should never 1268 01:18:36,600 --> 01:18:40,439 Speaker 1: he for me. He triggers me at some level, not 1269 01:18:40,479 --> 01:18:43,320 Speaker 1: that I'm somebody who really can get triggered, but he 1270 01:18:43,760 --> 01:18:51,000 Speaker 1: does that. I view this guy as he upsets me 1271 01:18:51,040 --> 01:18:54,479 Speaker 1: the second I have to hear his his crap. And 1272 01:18:54,840 --> 01:18:56,800 Speaker 1: here he is saying, you know, he doesn't think there's 1273 01:18:56,840 --> 01:19:00,600 Speaker 1: going to be surges like we saw. Gee, that's a 1274 01:19:00,640 --> 01:19:02,920 Speaker 1: really smart thing to say. You don't think that we're 1275 01:19:02,920 --> 01:19:06,160 Speaker 1: going to see a massive wave of the pandemic again, 1276 01:19:06,240 --> 01:19:09,920 Speaker 1: even after we've gotten over half the population vaccinated. I'm 1277 01:19:09,960 --> 01:19:12,360 Speaker 1: glad to hear that. You'll note that he doesn't as 1278 01:19:12,360 --> 01:19:15,559 Speaker 1: I've been saying, he doesn't even take into account the 1279 01:19:15,960 --> 01:19:19,639 Speaker 1: amount of naturally derived immunity that exists in this country. 1280 01:19:19,680 --> 01:19:22,559 Speaker 1: He doesn't take that into account at all. And that's 1281 01:19:22,600 --> 01:19:25,120 Speaker 1: a huge number of people. Now, a lot of them 1282 01:19:25,200 --> 01:19:28,160 Speaker 1: have also gotten vaccinated, so they'll be included, they'll be 1283 01:19:28,360 --> 01:19:31,640 Speaker 1: double protected in a sense in the vaccination numbers. But 1284 01:19:31,680 --> 01:19:33,240 Speaker 1: there are a lot of people. They're people like me 1285 01:19:33,600 --> 01:19:38,439 Speaker 1: who had COVID for sure, and based on all the 1286 01:19:38,479 --> 01:19:40,920 Speaker 1: signs we know, are immune. And they want me to 1287 01:19:40,960 --> 01:19:43,760 Speaker 1: get a shot that does have some side effects for 1288 01:19:43,800 --> 01:19:47,760 Speaker 1: some people. And they can't explain to me why scientifically 1289 01:19:47,960 --> 01:19:50,120 Speaker 1: that's actually going to make me better off than what 1290 01:19:50,160 --> 01:19:53,600 Speaker 1: I currently have. They don't even try to explain this, 1291 01:19:53,760 --> 01:19:55,559 Speaker 1: I don't. They just say do it, do it, do 1292 01:19:55,680 --> 01:19:58,519 Speaker 1: it well. These are the same people that told us 1293 01:19:58,520 --> 01:20:01,599 Speaker 1: the lab League theory was absurd. These are the same 1294 01:20:01,640 --> 01:20:04,559 Speaker 1: people that have been wrong at so many critical moments 1295 01:20:05,360 --> 01:20:10,800 Speaker 1: throughout the course of this pandemic. And we're to forget that, 1296 01:20:11,240 --> 01:20:14,000 Speaker 1: We're to act like we haven't seen that. They can 1297 01:20:14,080 --> 01:20:20,639 Speaker 1: be tremendously wrong, I mean catastrophically wrong at various points 1298 01:20:20,680 --> 01:20:24,680 Speaker 1: in this So I certainly have not forgotten this. I 1299 01:20:24,720 --> 01:20:27,959 Speaker 1: haven't let this go. I want more of a discussion 1300 01:20:28,040 --> 01:20:31,360 Speaker 1: about naturally derived immunity from COVID nineteen and I want 1301 01:20:31,400 --> 01:20:35,800 Speaker 1: that factored into all this public health measures and all 1302 01:20:35,800 --> 01:20:40,920 Speaker 1: the rest of it. All right, Moving to voter rights legislation, 1303 01:20:41,160 --> 01:20:47,560 Speaker 1: this is fascinating. Democrats on this point are so shameless. 1304 01:20:48,160 --> 01:20:52,960 Speaker 1: We still now have this. It's a narrative that anything 1305 01:20:52,960 --> 01:20:58,000 Speaker 1: that Republicans try to do, even if they make, even 1306 01:20:58,040 --> 01:21:03,040 Speaker 1: if they make more votes, happen as a result of 1307 01:21:03,080 --> 01:21:06,080 Speaker 1: their laws, if they make it easier for people to vote, 1308 01:21:06,400 --> 01:21:12,560 Speaker 1: but any restrictions intended to stop illegal or even accidentally 1309 01:21:13,840 --> 01:21:18,800 Speaker 1: incorrect voting, which does also happen. Democrats jump on it 1310 01:21:18,920 --> 01:21:25,280 Speaker 1: right away as an attack on our democracy. This is 1311 01:21:25,320 --> 01:21:28,799 Speaker 1: one of their favorite phrases. An attack. Remember the Russian hacking, 1312 01:21:28,840 --> 01:21:33,880 Speaker 1: an attack on our democracy January sixth an attack on 1313 01:21:33,880 --> 01:21:39,160 Speaker 1: our democracy. Georgia's voter protection laws or whatever Voter Integrity 1314 01:21:39,160 --> 01:21:41,720 Speaker 1: Act an attack. You know how we know what I'm 1315 01:21:41,720 --> 01:21:47,240 Speaker 1: gonna say. Here is Jensaki, the red haired propagandist in 1316 01:21:47,320 --> 01:21:50,479 Speaker 1: chief of this White House. Here she is played too. 1317 01:21:51,439 --> 01:21:54,400 Speaker 1: I would say that first he believes that the Texas 1318 01:21:54,520 --> 01:21:57,559 Speaker 1: legislation is a part of a concerted attack on our 1319 01:21:57,600 --> 01:22:01,120 Speaker 1: democracy being advanced at as we have seen not just 1320 01:22:01,200 --> 01:22:04,200 Speaker 1: in Texas, as you well know, but in states across 1321 01:22:04,240 --> 01:22:07,440 Speaker 1: the country on the basis of the same repeatedly disproven 1322 01:22:07,520 --> 01:22:10,479 Speaker 1: lies that led to the assault on our nation's capital 1323 01:22:10,520 --> 01:22:13,360 Speaker 1: on January sixth. So that is of course of great 1324 01:22:13,439 --> 01:22:16,360 Speaker 1: concern to the President. He thinks that must stop. It 1325 01:22:16,439 --> 01:22:19,400 Speaker 1: must be easier, not harder, for all eligible voters to vote, 1326 01:22:19,840 --> 01:22:22,360 Speaker 1: to register and cast their ballots. We need to move 1327 01:22:22,400 --> 01:22:25,040 Speaker 1: forward and not backward. And the fact of the matter 1328 01:22:25,120 --> 01:22:27,200 Speaker 1: is that the Texas legislation would make it harder to 1329 01:22:27,280 --> 01:22:29,519 Speaker 1: vote in a state where it is already too hard 1330 01:22:29,800 --> 01:22:31,960 Speaker 1: for many people to vote. But it's not the only 1331 01:22:31,960 --> 01:22:35,559 Speaker 1: state where we're seeing this troubling trend. But this is 1332 01:22:35,600 --> 01:22:38,360 Speaker 1: one of the reasons why he asked his vice She 1333 01:22:38,479 --> 01:22:42,920 Speaker 1: asked for it, but he certainly was thrilled to have 1334 01:22:43,040 --> 01:22:46,160 Speaker 1: her leading the effort on voting rights moving forward, given 1335 01:22:46,160 --> 01:22:48,719 Speaker 1: this as a huge priority to him and huge priority 1336 01:22:48,720 --> 01:22:51,519 Speaker 1: to her as well. Ah, did you say that this 1337 01:22:51,640 --> 01:22:56,720 Speaker 1: was important? This was the anatomy of the left authoritarian 1338 01:22:57,000 --> 01:23:01,080 Speaker 1: propaganda displayed for all. But you have to you have 1339 01:23:01,160 --> 01:23:05,120 Speaker 1: to pay close attention you have to understand how and 1340 01:23:05,200 --> 01:23:10,000 Speaker 1: why they do what they do. Notice that the attack 1341 01:23:10,040 --> 01:23:15,240 Speaker 1: on our democracy that this voter read, that these voting 1342 01:23:15,640 --> 01:23:18,360 Speaker 1: laws that they're they're trying to pass here, voter integrity 1343 01:23:18,360 --> 01:23:22,719 Speaker 1: acts across the states across the country, they are tied 1344 01:23:22,800 --> 01:23:30,000 Speaker 1: into the January sixth attack on our on our democracy 1345 01:23:30,600 --> 01:23:33,800 Speaker 1: because people, this is what she's saying. This is and 1346 01:23:33,880 --> 01:23:37,280 Speaker 1: this is important because there were people in the January 1347 01:23:37,360 --> 01:23:40,280 Speaker 1: sixth riot, which they call an insurrection and which they 1348 01:23:40,320 --> 01:23:43,320 Speaker 1: say as an attack on our democracy because they didn't 1349 01:23:43,400 --> 01:23:48,520 Speaker 1: believe the election outcome and that that it was legitimate. 1350 01:23:48,720 --> 01:23:54,400 Speaker 1: And because these voter integrity laws that are being passed 1351 01:23:54,439 --> 01:23:57,800 Speaker 1: in red states across the country are rooted in the 1352 01:23:57,960 --> 01:24:04,640 Speaker 1: concern that there could be cheating in an election, and 1353 01:24:04,680 --> 01:24:06,479 Speaker 1: they want to make it harder for there to be 1354 01:24:06,560 --> 01:24:11,960 Speaker 1: cheating an election. The people that are supporting laws like 1355 01:24:12,000 --> 01:24:16,599 Speaker 1: what's passed in Georgia and Texas are basically the same 1356 01:24:16,960 --> 01:24:20,960 Speaker 1: and are constituting the same attack on our democracy as 1357 01:24:21,040 --> 01:24:25,400 Speaker 1: the January sixth insurrection. You see, this is what they do. 1358 01:24:26,360 --> 01:24:31,920 Speaker 1: This is how they weaponize the January sixth narrative against 1359 01:24:31,960 --> 01:24:35,439 Speaker 1: everybody across the country who stands in the way of 1360 01:24:35,439 --> 01:24:40,559 Speaker 1: the Biden administration. I know it's unseemly, it's grotesque what 1361 01:24:40,640 --> 01:24:43,200 Speaker 1: they're doing, but I want you to be very clear 1362 01:24:43,240 --> 01:24:47,680 Speaker 1: on how they do it and what they're doing, because unfortunately, 1363 01:24:48,560 --> 01:24:54,400 Speaker 1: this stuff is effective. Unfortunately, it certainly fires up the 1364 01:24:54,520 --> 01:25:00,160 Speaker 1: left wing base, and it goes even beyond that to 1365 01:25:00,240 --> 01:25:02,200 Speaker 1: be something that makes it harder for you to be 1366 01:25:02,240 --> 01:25:06,320 Speaker 1: a conservative without having to deal with those kinds of attacks, 1367 01:25:07,240 --> 01:25:11,000 Speaker 1: having to deal with being lumped in with the January 1368 01:25:12,080 --> 01:25:17,240 Speaker 1: sixth insurrectionists, right, and just that the snide, the nasty 1369 01:25:17,360 --> 01:25:19,240 Speaker 1: tone they take about all this as well. I mean, 1370 01:25:19,280 --> 01:25:26,479 Speaker 1: here's Brooklyn. Brooklyn elitist Chris Hayes over at MSNBC on 1371 01:25:26,880 --> 01:25:32,439 Speaker 1: auditing the results in Arizona Play thirteen. Now, what is 1372 01:25:32,439 --> 01:25:35,360 Speaker 1: going on in Arizona with the ballot recount almost seems 1373 01:25:35,400 --> 01:25:38,280 Speaker 1: like cosplay. It's like a children's summer camp where they 1374 01:25:38,320 --> 01:25:40,800 Speaker 1: get to pretend to be wizards and witches. At Hogwarts. 1375 01:25:41,439 --> 01:25:43,840 Speaker 1: There are a bunch of MAGA volunteers pretending to be 1376 01:25:43,880 --> 01:25:47,200 Speaker 1: conducting a recounter, an audit and counting ballots. But here's 1377 01:25:47,200 --> 01:25:49,960 Speaker 1: the thing, they're doing it with actual ballots. Those are 1378 01:25:50,000 --> 01:25:53,920 Speaker 1: the ballots because the Arizona Republicans use the power they 1379 01:25:53,960 --> 01:25:56,439 Speaker 1: have over the machinery of the state to actually turn 1380 01:25:56,520 --> 01:25:59,680 Speaker 1: them over to a private company and volunteers. And so 1381 01:25:59,720 --> 01:26:04,559 Speaker 1: this is attacking the most fundamental, crucial cornerstone of a 1382 01:26:04,680 --> 01:26:09,920 Speaker 1: functioning democracy, the audit. Notice what he did here, The 1383 01:26:10,200 --> 01:26:17,160 Speaker 1: audit is attacking or a crucial fundamental cornerstone of our democracy. 1384 01:26:18,080 --> 01:26:23,040 Speaker 1: Isn't that a fascinating psychological operation he's running here, a 1385 01:26:23,120 --> 01:26:30,200 Speaker 1: SSIOP audits are a crucial cornerstone of our democracy, of 1386 01:26:30,280 --> 01:26:34,839 Speaker 1: our democratic process of voting in elections. That's the reason 1387 01:26:34,920 --> 01:26:40,160 Speaker 1: we have audits. But now you'll notice that actually doing 1388 01:26:40,320 --> 01:26:43,919 Speaker 1: what is within the system they pretend is an attack 1389 01:26:44,120 --> 01:26:49,400 Speaker 1: on the system. By actually checking to make sure that 1390 01:26:49,439 --> 01:26:52,519 Speaker 1: the result is what we've been told the result is, 1391 01:26:53,240 --> 01:26:58,040 Speaker 1: we are undermining the results. Oh it's like I've said 1392 01:26:58,040 --> 01:27:00,559 Speaker 1: all along. This would be like a using the other 1393 01:27:00,600 --> 01:27:03,519 Speaker 1: team of cheating in football when their coach throws a 1394 01:27:03,600 --> 01:27:08,360 Speaker 1: challenge flag. Throwing a challenge flag is not cheating. Those 1395 01:27:08,560 --> 01:27:11,960 Speaker 1: are the rules. You are not breaking the rules by 1396 01:27:12,040 --> 01:27:17,479 Speaker 1: doing so. But you see it's propaganda. You see, this 1397 01:27:17,600 --> 01:27:22,920 Speaker 1: is storytelling from the left. Oh, they're assaulting our democracy 1398 01:27:23,520 --> 01:27:28,920 Speaker 1: by checking the work of our democracy. Not allowed, not allowed. 1399 01:27:29,160 --> 01:27:33,000 Speaker 1: And what makes this even more outrageous is that they, 1400 01:27:33,640 --> 01:27:38,560 Speaker 1: the left, the Democrats, spend four years challenging and undermining 1401 01:27:38,600 --> 01:27:43,320 Speaker 1: through a special counsel, through a legal mechanism based on lies, 1402 01:27:43,520 --> 01:27:49,400 Speaker 1: based on fabricated evidence from the FBI, based on absurd 1403 01:27:49,760 --> 01:27:55,920 Speaker 1: rumors treated as truth by the intelligence community. They use 1404 01:27:56,000 --> 01:27:58,559 Speaker 1: the process as a weapon to create a special counsel 1405 01:27:58,560 --> 01:28:01,559 Speaker 1: against Donald Trump for four years, and now they're going 1406 01:28:01,560 --> 01:28:04,920 Speaker 1: to lecture us on attacks on democracy. Now they're going 1407 01:28:04,960 --> 01:28:07,800 Speaker 1: to act like we're the ones that need to learn 1408 01:28:07,800 --> 01:28:11,120 Speaker 1: a lesson here. I'm sorry, it's just too much after 1409 01:28:11,120 --> 01:28:13,640 Speaker 1: a while, it's really just too much to take. I mean, 1410 01:28:13,680 --> 01:28:16,960 Speaker 1: I won't let them get away with it, but I 1411 01:28:17,040 --> 01:28:20,879 Speaker 1: do have to. I do have to just gather myself 1412 01:28:20,920 --> 01:28:24,960 Speaker 1: here because it's so outrageous, it's so dishonest. But the 1413 01:28:25,000 --> 01:28:27,679 Speaker 1: press corps in this country in general, journalism in general, 1414 01:28:28,240 --> 01:28:34,000 Speaker 1: has turned into partisan hackery openly. I mean, they viewed 1415 01:28:34,040 --> 01:28:38,479 Speaker 1: themselves as on a team working for a goal, and 1416 01:28:38,520 --> 01:28:45,360 Speaker 1: the goal is the destruction and the eradication of conservatism 1417 01:28:45,360 --> 01:28:49,040 Speaker 1: in American of the Republican Party. If they could outlaw 1418 01:28:49,160 --> 01:28:51,400 Speaker 1: the GOP, they would, and I don't want to say 1419 01:28:51,439 --> 01:28:54,599 Speaker 1: that out loud too many times because it might give 1420 01:28:54,600 --> 01:28:57,559 Speaker 1: them some ideas. But how would they do it. Well, 1421 01:28:57,600 --> 01:29:00,720 Speaker 1: They'd say that the GOP was part of was the 1422 01:29:01,360 --> 01:29:05,280 Speaker 1: party of the insurrection, and that Donald Trump was the 1423 01:29:05,400 --> 01:29:09,000 Speaker 1: leader of the GOP who called for the insurrection, and 1424 01:29:09,080 --> 01:29:13,640 Speaker 1: that it is an attack on our democracy itself, and 1425 01:29:13,720 --> 01:29:15,960 Speaker 1: the only way to have true accountability would be to 1426 01:29:16,080 --> 01:29:22,120 Speaker 1: forever ban the GOP in American public life. I don't 1427 01:29:22,160 --> 01:29:24,080 Speaker 1: think they'll be able to do that, but I can 1428 01:29:24,120 --> 01:29:25,960 Speaker 1: tell you this, and I think you know it's true. 1429 01:29:26,720 --> 01:29:31,160 Speaker 1: If they could, they would, And in many ways that's 1430 01:29:31,240 --> 01:29:34,719 Speaker 1: terrifying enough. That's right. It's day seventy since Kamala Harris 1431 01:29:34,800 --> 01:29:37,679 Speaker 1: was appointed. The borders are but she's yet to visit 1432 01:29:37,720 --> 01:29:40,839 Speaker 1: the border. She's yet to hold a formal press conference. 1433 01:29:41,000 --> 01:29:44,160 Speaker 1: She's going to the Central American countries, but not to 1434 01:29:44,240 --> 01:29:47,040 Speaker 1: solve the crisis on our border. She's going to those 1435 01:29:47,080 --> 01:29:50,240 Speaker 1: countries for a photo op, to stand next to world leaders, 1436 01:29:50,720 --> 01:29:53,120 Speaker 1: to have to plaster out there when she decides to 1437 01:29:53,200 --> 01:29:56,920 Speaker 1: run for president, and to bust up and increase her 1438 01:29:56,960 --> 01:30:00,000 Speaker 1: foreign policy chops. This is a trip that's about Kamala Harris. 1439 01:30:00,160 --> 01:30:02,240 Speaker 1: It's not a trip about the children at the border, 1440 01:30:02,280 --> 01:30:06,920 Speaker 1: make no mistake. It is indeed about Harris's political aspirations. 1441 01:30:08,040 --> 01:30:12,400 Speaker 1: And that's why she knows that she doesn't want to 1442 01:30:12,439 --> 01:30:20,400 Speaker 1: be tasked or I should say, saddled with the reputational 1443 01:30:20,520 --> 01:30:23,400 Speaker 1: damage of not being able to fix the border. As 1444 01:30:23,400 --> 01:30:26,639 Speaker 1: the borders are, and as I've been telling you all along, 1445 01:30:27,120 --> 01:30:32,920 Speaker 1: Democrats have no interest in actually fixing the border. That 1446 01:30:33,080 --> 01:30:37,360 Speaker 1: is not what they seek to do. They like this 1447 01:30:37,560 --> 01:30:40,800 Speaker 1: situation of a de facto open border. They like the 1448 01:30:40,840 --> 01:30:44,599 Speaker 1: continuation of the lawlessness down there. They just see this 1449 01:30:45,520 --> 01:30:49,200 Speaker 1: as running up the scoreboard for Democrat votes and future 1450 01:30:49,360 --> 01:30:53,120 Speaker 1: Democrat political victories. So they're not going to change it. 1451 01:30:53,280 --> 01:30:58,920 Speaker 1: They just ended the remain in Mexico policy officially this week. Now, 1452 01:30:59,439 --> 01:31:03,839 Speaker 1: what reasonable person can say that the remaind in Mexico 1453 01:31:03,920 --> 01:31:08,160 Speaker 1: policy wasn't a good idea if you actually want people 1454 01:31:08,200 --> 01:31:12,320 Speaker 1: to stop gaming our system pretending that they're going to 1455 01:31:12,360 --> 01:31:17,400 Speaker 1: get asylum when they're really not. But they know this 1456 01:31:17,520 --> 01:31:18,960 Speaker 1: is a way to get into America, to get into 1457 01:31:18,960 --> 01:31:21,960 Speaker 1: the American interior, and then there will be no further enforcement, 1458 01:31:22,400 --> 01:31:26,599 Speaker 1: and so from there it's all over. They know that 1459 01:31:26,920 --> 01:31:32,160 Speaker 1: they're aware of that, and that's the whole point, right, 1460 01:31:32,360 --> 01:31:35,080 Speaker 1: they know what's going to happen here. But I just 1461 01:31:35,080 --> 01:31:38,080 Speaker 1: think it's funny that, yeah, Kamala's going down to Central America. 1462 01:31:38,120 --> 01:31:40,280 Speaker 1: You know, she's stepping out on the world stage. Now, 1463 01:31:40,320 --> 01:31:43,880 Speaker 1: that's right, man, I wonder what the I got to 1464 01:31:43,920 --> 01:31:47,120 Speaker 1: check what the Vegas odds are on Kamala Harris takes 1465 01:31:47,160 --> 01:31:49,559 Speaker 1: over for Joe Biden before the end of his first term. 1466 01:31:50,040 --> 01:31:53,439 Speaker 1: I've got to think they. I think I feel like 1467 01:31:53,439 --> 01:31:55,800 Speaker 1: if I were if I were the odds maker on 1468 01:31:55,880 --> 01:31:58,040 Speaker 1: this one, or if I were the one that got 1469 01:31:58,080 --> 01:32:01,439 Speaker 1: to put out the estimate on this, I would say 1470 01:32:01,479 --> 01:32:05,160 Speaker 1: that you'd get I'd give you. I'd give you two 1471 01:32:05,200 --> 01:32:08,960 Speaker 1: to one odds, just because, yes, maybe Biden does want 1472 01:32:09,000 --> 01:32:11,000 Speaker 1: to finish out his first term. But I think it's 1473 01:32:11,000 --> 01:32:16,519 Speaker 1: two to one odds. That's that's fair, that Kamala so 1474 01:32:16,520 --> 01:32:18,799 Speaker 1: so two to one in favor of Joe Biden finishing 1475 01:32:18,800 --> 01:32:20,519 Speaker 1: out his first term. But that still means there's a 1476 01:32:20,600 --> 01:32:24,760 Speaker 1: really good chance that Kamala Harris takes over before the 1477 01:32:24,760 --> 01:32:26,800 Speaker 1: first term. And then what would be the odds that 1478 01:32:26,840 --> 01:32:30,800 Speaker 1: I say that she that she stands and runs for 1479 01:32:30,880 --> 01:32:33,960 Speaker 1: the second term, so Joe doesn't, you know. So there's 1480 01:32:33,960 --> 01:32:37,160 Speaker 1: she takes over, so she becomes the president before the 1481 01:32:37,200 --> 01:32:40,320 Speaker 1: end of Joe's first term. And then there's she runs 1482 01:32:40,320 --> 01:32:45,880 Speaker 1: a campaign, uh you know, or she runs basically in 1483 01:32:45,920 --> 01:32:49,920 Speaker 1: the campaign season. Well, no, actually, I scrap all that. 1484 01:32:50,080 --> 01:32:52,160 Speaker 1: I think she is going to take over. I was 1485 01:32:52,200 --> 01:32:55,000 Speaker 1: trying to separate out let's say, having her take over 1486 01:32:55,080 --> 01:32:58,120 Speaker 1: next year from at the very end. But now I 1487 01:32:58,160 --> 01:33:01,960 Speaker 1: think the move here is Joe Biden steps down in 1488 01:33:02,520 --> 01:33:06,320 Speaker 1: twenty twenty three at the end of twenty twenty three, 1489 01:33:06,360 --> 01:33:08,240 Speaker 1: and then in twenty twenty four, Kamala Harris is the 1490 01:33:08,280 --> 01:33:12,760 Speaker 1: president running for reelection as an incumbent. I think that's 1491 01:33:12,800 --> 01:33:17,559 Speaker 1: the move that they probably pull here. But yeah, Kamala 1492 01:33:17,880 --> 01:33:20,680 Speaker 1: with a border with so many other things, she she 1493 01:33:20,800 --> 01:33:23,799 Speaker 1: just gets to be Kamala. She doesn't have to show results, 1494 01:33:23,840 --> 01:33:27,800 Speaker 1: she doesn't have to have any any strategic genius at 1495 01:33:27,840 --> 01:33:31,080 Speaker 1: work here. She just has to show up. And she 1496 01:33:31,240 --> 01:33:35,720 Speaker 1: could even she could even have failures, doesn't matter. As 1497 01:33:35,720 --> 01:33:38,160 Speaker 1: long as she's Kamala Harris and the Democrat apparatus is 1498 01:33:38,200 --> 01:33:41,519 Speaker 1: behind her. She's she's in a position where she may 1499 01:33:41,560 --> 01:33:43,479 Speaker 1: become president of the United States. I think we have 1500 01:33:43,560 --> 01:33:47,160 Speaker 1: to get used to that thought that she will be president. 1501 01:33:48,000 --> 01:33:51,160 Speaker 1: How long I don't know, but she's gonna end up 1502 01:33:51,160 --> 01:33:54,240 Speaker 1: being president the United States. And as we talked about 1503 01:33:54,320 --> 01:33:56,519 Speaker 1: yesterday in the show, I mean Barack Obama has already 1504 01:33:56,520 --> 01:33:59,519 Speaker 1: said this administration is a lot of the people from 1505 01:33:59,600 --> 01:34:04,120 Speaker 1: his innistration pushing the same ideas, pursuing the same goals. 1506 01:34:04,600 --> 01:34:07,559 Speaker 1: So we really just have a third term of Obamaism here, 1507 01:34:08,280 --> 01:34:15,000 Speaker 1: which is this this American Marxist approach to governance. Right, 1508 01:34:15,240 --> 01:34:17,400 Speaker 1: That's that's where it all got going. You go back 1509 01:34:17,400 --> 01:34:20,719 Speaker 1: to two thousand and eight and Biden continues to carry 1510 01:34:20,760 --> 01:34:22,360 Speaker 1: that torch and he's just going to hand it off 1511 01:34:22,360 --> 01:34:25,840 Speaker 1: to Kamala and this is now almost on autopilot for 1512 01:34:25,840 --> 01:34:30,240 Speaker 1: the Democrats. We have to shake things up. We have 1513 01:34:30,400 --> 01:34:33,760 Speaker 1: to be the ones that make the case and hold 1514 01:34:33,840 --> 01:34:36,160 Speaker 1: up a mirror to reality here such that we can 1515 01:34:36,320 --> 01:34:43,000 Speaker 1: take power away from these Democrat Marxists. That's what has 1516 01:34:43,040 --> 01:34:47,000 Speaker 1: to happen here. Otherwise I think they've got the whole 1517 01:34:47,000 --> 01:34:49,360 Speaker 1: they've got the whole game plan. We just have to 1518 01:34:49,360 --> 01:34:51,559 Speaker 1: be honest enough with ourselves that we can see it too. 1519 01:34:52,120 --> 01:34:56,920 Speaker 1: And it definitely involves a president Kamala Soon. Critics slam 1520 01:34:57,120 --> 01:35:02,479 Speaker 1: Champagne socialist AOC the Eco someone from Queens for not 1521 01:35:02,640 --> 01:35:07,799 Speaker 1: helping her grandmother after she posted photos of her Puerto 1522 01:35:07,920 --> 01:35:15,320 Speaker 1: Rican home ravaged by Hurricane Maria and blamed Trump. This 1523 01:35:15,560 --> 01:35:21,960 Speaker 1: is a classic moment in socialist mentality. My friends, So 1524 01:35:22,240 --> 01:35:26,600 Speaker 1: AOC makes one hundred and seventy four thousand dollars a 1525 01:35:26,680 --> 01:35:30,840 Speaker 1: year as a member of Congress, and she has she 1526 01:35:30,920 --> 01:35:35,639 Speaker 1: owns a seventy thousand dollars Tesla, very very nice car, 1527 01:35:35,680 --> 01:35:41,719 Speaker 1: electric car, and she rents two apartments, including in a 1528 01:35:41,880 --> 01:35:46,880 Speaker 1: luxury Washington, DC building. I just want to note that 1529 01:35:47,040 --> 01:35:49,679 Speaker 1: this is all from the Daily Mail, and yet she's 1530 01:35:49,720 --> 01:35:55,480 Speaker 1: complaining about the situation of her grandmother in Puerto Rico, 1531 01:35:56,200 --> 01:36:00,200 Speaker 1: saying that her home is in disrepair. She tweeted out 1532 01:36:00,320 --> 01:36:05,760 Speaker 1: just over a week ago, Abuela fell ill I believe 1533 01:36:05,800 --> 01:36:08,720 Speaker 1: is Spanish for grandmother. I went to Puerto Rico to 1534 01:36:08,800 --> 01:36:11,799 Speaker 1: see her my first time in a year because of COVID. 1535 01:36:11,920 --> 01:36:16,559 Speaker 1: This is her home. Hurricane Maria relief hasn't arrived. Trump 1536 01:36:16,640 --> 01:36:19,320 Speaker 1: blocked relief money for Puerto Rico. People are being forced 1537 01:36:19,360 --> 01:36:23,559 Speaker 1: to flee ancestral homes and developers are taking them. Let 1538 01:36:23,560 --> 01:36:26,400 Speaker 1: me just tell you something. If you're making, by the way, 1539 01:36:26,400 --> 01:36:29,519 Speaker 1: her congressional salary, I mean, lord only knows what she 1540 01:36:29,560 --> 01:36:33,200 Speaker 1: has in terms of book deal money. And this is 1541 01:36:33,240 --> 01:36:36,800 Speaker 1: somebody who's making lots of cash and already has created 1542 01:36:37,280 --> 01:36:41,880 Speaker 1: AOC of queens. Claims to be from the Bronx, really 1543 01:36:41,920 --> 01:36:46,680 Speaker 1: from Westchester, as we know. But AOC has plenty of 1544 01:36:46,720 --> 01:36:51,920 Speaker 1: resources to help her elderly grandmother in Puerto Rico. But no, 1545 01:36:52,479 --> 01:36:54,760 Speaker 1: she wants to be able to drive around in a 1546 01:36:54,880 --> 01:37:00,240 Speaker 1: seventy thousand dollars electric sports car, while then tweeting out 1547 01:37:00,240 --> 01:37:03,800 Speaker 1: about how the federal government did not do enough to 1548 01:37:03,920 --> 01:37:08,519 Speaker 1: make her grandmother's home with peeling paint from the ceiling 1549 01:37:08,680 --> 01:37:11,519 Speaker 1: and a state of disrepair, did not do enough to 1550 01:37:11,520 --> 01:37:15,240 Speaker 1: make her grandmother's home nicer. I gotta tell you something. 1551 01:37:15,920 --> 01:37:22,400 Speaker 1: This is a window into the socialist, leftist mindset in America. 1552 01:37:22,520 --> 01:37:27,040 Speaker 1: It's all about making other people pay the bills. It's 1553 01:37:27,040 --> 01:37:31,200 Speaker 1: all about making other people deal with the bad policies, 1554 01:37:31,280 --> 01:37:36,639 Speaker 1: with the sacrifices that are required, whereas you yourself get 1555 01:37:36,680 --> 01:37:41,080 Speaker 1: to live in relative splendor. You get to just enjoy 1556 01:37:41,360 --> 01:37:44,200 Speaker 1: all the all the best parts of America. You don't. 1557 01:37:44,240 --> 01:37:47,800 Speaker 1: I don't have to worry about whether or not your 1558 01:37:47,800 --> 01:37:50,920 Speaker 1: own family members are being taken care of. You get 1559 01:37:50,920 --> 01:37:54,960 Speaker 1: to just be living it, living it up, and family 1560 01:37:55,000 --> 01:37:58,360 Speaker 1: members of yours you can put aside and suggest that 1561 01:37:58,400 --> 01:38:02,680 Speaker 1: the federal government should bailing them out. Oh okay, it's 1562 01:38:02,720 --> 01:38:06,599 Speaker 1: always somebody else's problem to fix, and it's always your 1563 01:38:06,680 --> 01:38:11,479 Speaker 1: money to take, right. This is why hypocrisy is central 1564 01:38:11,640 --> 01:38:17,400 Speaker 1: to the Democrat ethos and mindset. They believe that their 1565 01:38:17,479 --> 01:38:21,439 Speaker 1: support of certain policies gives them license to act in 1566 01:38:21,560 --> 01:38:25,200 Speaker 1: very different ways personally. They believe that because they want 1567 01:38:25,240 --> 01:38:29,720 Speaker 1: to redistribute the wealth of others, they themselves are absolved 1568 01:38:29,800 --> 01:38:35,920 Speaker 1: of the guilt of accruing, of hoarding a lot of 1569 01:38:35,960 --> 01:38:40,160 Speaker 1: resources themselves. You know this is amazing though, because she 1570 01:38:40,600 --> 01:38:45,960 Speaker 1: AOC shared this and to attack Trump. It's Trump's fault. 1571 01:38:46,320 --> 01:38:48,519 Speaker 1: Biden has now been in office how many months, but 1572 01:38:48,560 --> 01:38:51,200 Speaker 1: we're still talking about how Trump didn't get money to 1573 01:38:51,240 --> 01:38:55,519 Speaker 1: Puerto Rico to her grandmother to fix the ceiling in 1574 01:38:55,640 --> 01:39:00,280 Speaker 1: her house. As if that's the role of the federal GOVERNMNT. 1575 01:39:00,280 --> 01:39:02,559 Speaker 1: I mean, as if that's something that we now are 1576 01:39:02,600 --> 01:39:07,960 Speaker 1: supposed to accept is standard? Yeah, your house, your grandparents' 1577 01:39:08,600 --> 01:39:12,439 Speaker 1: house has a problem with the ceiling, the federal government 1578 01:39:12,479 --> 01:39:15,559 Speaker 1: will fix it or send a check so that somebody 1579 01:39:15,560 --> 01:39:18,639 Speaker 1: else can. No, this is not the way it's supposed 1580 01:39:18,680 --> 01:39:22,719 Speaker 1: to be. But for the Champagne socialist, the Limousine liberals 1581 01:39:22,720 --> 01:39:26,080 Speaker 1: of the left, this is the mindset. It's one of 1582 01:39:26,120 --> 01:39:29,599 Speaker 1: the reasons it's so appealing to be a leftist, whether 1583 01:39:29,600 --> 01:39:31,960 Speaker 1: you're in New York City or anywhere else across the country. 1584 01:39:32,960 --> 01:39:35,479 Speaker 1: You get all the benefits, you get all the social 1585 01:39:35,560 --> 01:39:39,400 Speaker 1: clout of being a social justice warrior. But of course 1586 01:39:39,439 --> 01:39:42,639 Speaker 1: that term is only used ironically because there's nothing warrior 1587 01:39:42,680 --> 01:39:46,000 Speaker 1: like about these individuals. They don't take risks, they don't 1588 01:39:46,000 --> 01:39:49,679 Speaker 1: show discipline. There's no honor in what they do. This 1589 01:39:49,760 --> 01:39:54,480 Speaker 1: is all about vanity and virtue signaling. How could anyone 1590 01:39:54,520 --> 01:39:59,240 Speaker 1: show a photo of their grandparents' home in disrepair and 1591 01:39:59,400 --> 01:40:04,800 Speaker 1: think that this in some way impugning the federal government. Oh, 1592 01:40:04,840 --> 01:40:08,599 Speaker 1: the federal government didn't do enough, you see. I think 1593 01:40:08,600 --> 01:40:10,479 Speaker 1: that it's one thing if you want to complain about 1594 01:40:10,560 --> 01:40:14,560 Speaker 1: government resources or the distribution of funds from a relief program, 1595 01:40:15,360 --> 01:40:19,759 Speaker 1: but that should come after you, as a young, wealthy, 1596 01:40:19,920 --> 01:40:24,000 Speaker 1: influential person in the case of AOC, a very influential 1597 01:40:24,040 --> 01:40:27,160 Speaker 1: and I'm sure quite wealthy. Olough don't know her net wealth, 1598 01:40:27,920 --> 01:40:31,519 Speaker 1: net worth rather individual until you have taken care of 1599 01:40:31,560 --> 01:40:35,960 Speaker 1: those in your own family. But this is common among leftists. 1600 01:40:36,560 --> 01:40:40,479 Speaker 1: They don't do what is necessary to support the people 1601 01:40:40,520 --> 01:40:43,320 Speaker 1: around them. They don't take the action, so to speak, 1602 01:40:43,320 --> 01:40:45,000 Speaker 1: in their own day to day lives. They're not going 1603 01:40:45,040 --> 01:40:47,400 Speaker 1: to show up to the soup kitchen, They're not going 1604 01:40:47,479 --> 01:40:51,240 Speaker 1: to volunteer their own time unless there's a camera crew present. 1605 01:40:51,560 --> 01:40:53,799 Speaker 1: But they want to make sure that the government takes 1606 01:40:53,880 --> 01:40:57,400 Speaker 1: from you to give to others. They want to make 1607 01:40:57,439 --> 01:41:01,719 Speaker 1: sure that there's a redistributive mechanism, always backed by force, 1608 01:41:01,760 --> 01:41:04,720 Speaker 1: because that's what government is. Force so that they can 1609 01:41:04,800 --> 01:41:08,960 Speaker 1: feel good about themselves. They can acquire not only material things, 1610 01:41:09,000 --> 01:41:12,200 Speaker 1: but also power, use it, and everyone else is just 1611 01:41:12,240 --> 01:41:15,759 Speaker 1: supposed to go along, because otherwise you're a bad person 1612 01:41:15,800 --> 01:41:21,479 Speaker 1: who doesn't care about Abuela AOC's grandmother. In this case, 1613 01:41:22,360 --> 01:41:25,799 Speaker 1: showing this was really much more than I think AOC 1614 01:41:26,040 --> 01:41:28,920 Speaker 1: intended to. But it is a continuing lesson for all 1615 01:41:28,960 --> 01:41:33,000 Speaker 1: the rest of us that if you have two apartments 1616 01:41:33,120 --> 01:41:36,480 Speaker 1: and a tesla and your grandmother is living in poverty. 1617 01:41:36,920 --> 01:41:41,280 Speaker 1: You should probably tend to your grandmother instead of using 1618 01:41:41,320 --> 01:41:45,679 Speaker 1: it as an opportunity to try to blame Donald Trump. 1619 01:41:46,320 --> 01:41:48,559 Speaker 1: Probably take a moment and say, hold on a second, 1620 01:41:48,840 --> 01:41:52,760 Speaker 1: maybe there's more going on here than just another opportunity 1621 01:41:53,280 --> 01:41:58,479 Speaker 1: to cheap shot somebody over politics. Here, she goes. I 1622 01:41:58,520 --> 01:42:00,920 Speaker 1: want to be clear, while the Trump administration AOC rights 1623 01:42:01,120 --> 01:42:04,960 Speaker 1: had a major role, it wasn't just them. La junta, 1624 01:42:05,160 --> 01:42:08,400 Speaker 1: local policies, et cetera were all in the same page, 1625 01:42:09,040 --> 01:42:11,599 Speaker 1: policies that pushed out local families to turn this around, 1626 01:42:11,600 --> 01:42:14,439 Speaker 1: and we need audits and get recovery, to relief to 1627 01:42:14,520 --> 01:42:19,559 Speaker 1: people asap without onerous strings. It's it's remarkable to me also, 1628 01:42:19,640 --> 01:42:22,400 Speaker 1: just this notion that so now the government, the government 1629 01:42:22,400 --> 01:42:25,799 Speaker 1: has to replace people's houses if there's a big enough storm. 1630 01:42:26,040 --> 01:42:29,000 Speaker 1: I mean, this is a more basic philosophical question. I 1631 01:42:29,000 --> 01:42:30,679 Speaker 1: think a lot of people realize. So now the government's 1632 01:42:30,680 --> 01:42:33,200 Speaker 1: supposed to but if your house burns down and you 1633 01:42:33,200 --> 01:42:36,120 Speaker 1: don't have insurance, your house burned down. But if there's 1634 01:42:36,160 --> 01:42:39,760 Speaker 1: a major storm, then the government has to replace homes. 1635 01:42:40,000 --> 01:42:42,040 Speaker 1: What are the limits of that. I do think it's 1636 01:42:42,040 --> 01:42:44,360 Speaker 1: an interesting policy discussion, but it's not one that we're 1637 01:42:44,360 --> 01:42:49,000 Speaker 1: going to have under this Biden administration because it's just 1638 01:42:49,640 --> 01:42:52,559 Speaker 1: open the money spig at friends, and just blast that 1639 01:42:52,760 --> 01:42:55,360 Speaker 1: cash all over the place. Whatever the Democrats want to 1640 01:42:55,360 --> 01:43:02,040 Speaker 1: spend it on. Shod over at folks. It's time for 1641 01:43:02,240 --> 01:43:12,280 Speaker 1: roll call, Roll call Facebook dot com, slash Buck Sexton 1642 01:43:12,479 --> 01:43:18,960 Speaker 1: or Team Buck at iHeartMedia dot Com. We're doing all 1643 01:43:19,320 --> 01:43:21,559 Speaker 1: the things, getting it all done here, folks. That's how 1644 01:43:21,600 --> 01:43:25,400 Speaker 1: we roll. Thank you so much as always for sending it, 1645 01:43:25,920 --> 01:43:27,840 Speaker 1: sending it into us, telling us all the things that 1646 01:43:27,880 --> 01:43:30,759 Speaker 1: we need to hear about the show about America, about Life. 1647 01:43:31,520 --> 01:43:34,920 Speaker 1: Producer Mark has not yet moved, so we just we're 1648 01:43:34,960 --> 01:43:37,560 Speaker 1: still waiting for the for the big, the big announcement, 1649 01:43:37,720 --> 01:43:39,880 Speaker 1: but it's gonna happen any day now. Produce Mark, do 1650 01:43:39,920 --> 01:43:41,080 Speaker 1: you want me to do? You want me to send 1651 01:43:41,120 --> 01:43:44,599 Speaker 1: a strongly awarded letter to them from the Freedom Huts 1652 01:43:46,040 --> 01:43:49,200 Speaker 1: section of the Freedom Huts. How dare you? How dare 1653 01:43:49,200 --> 01:43:53,600 Speaker 1: you co op board not allow Producer Mark a speedy 1654 01:43:53,880 --> 01:43:56,680 Speaker 1: transfer into his new domicile. You know I can throw 1655 01:43:56,720 --> 01:44:00,320 Speaker 1: in some words, maybe some words we can say on 1656 01:44:00,360 --> 01:44:03,720 Speaker 1: the radio two. That's what I'd like to say to them. Ah, yes, yes, 1657 01:44:03,960 --> 01:44:08,559 Speaker 1: I am familiar with those words. Yeah, okay, fair enough. Yeah, well, 1658 01:44:08,560 --> 01:44:10,439 Speaker 1: producer Mark's gonna move any day now, so that's good. 1659 01:44:10,479 --> 01:44:12,599 Speaker 1: It's funny. I told us now, Princess that this weekend, 1660 01:44:12,640 --> 01:44:15,679 Speaker 1: I just need a I just need a like lazy 1661 01:44:15,720 --> 01:44:19,680 Speaker 1: couch weekend. I just need it. You know, sometimes you 1662 01:44:19,720 --> 01:44:21,040 Speaker 1: know in advance you're just gonna need one of those 1663 01:44:21,040 --> 01:44:23,560 Speaker 1: weekends where you're the whole weekend just goes buy in 1664 01:44:23,600 --> 01:44:27,360 Speaker 1: a blur because that's all just eating mac and cheese, 1665 01:44:27,640 --> 01:44:31,080 Speaker 1: watching Netflix, changing out of your pajamas once or twice 1666 01:44:31,160 --> 01:44:34,120 Speaker 1: into other pajamas. That's when you're really at like the 1667 01:44:34,160 --> 01:44:37,960 Speaker 1: peak of your game with a couch potato weekend, when 1668 01:44:37,960 --> 01:44:40,880 Speaker 1: you go from pajamas to fresh pajamas because you've been 1669 01:44:40,880 --> 01:44:43,479 Speaker 1: wearing the pajamas so long. Well, yeah, you know, you 1670 01:44:43,479 --> 01:44:46,880 Speaker 1: don't want to be dirty, so you have to shower occasionally. Yeah, 1671 01:44:46,880 --> 01:44:49,959 Speaker 1: I don't want to be a smelly couch potato. Yeah, 1672 01:44:50,000 --> 01:44:51,479 Speaker 1: I mean, I just I just want to be able 1673 01:44:51,479 --> 01:44:55,879 Speaker 1: to to just relax, to relax as much as possible. 1674 01:44:55,920 --> 01:45:00,639 Speaker 1: All right, let's get into Roll Call here day. First up, Hey, 1675 01:45:00,680 --> 01:45:03,599 Speaker 1: buck love today's opening monologue. You couldn't be more humble 1676 01:45:03,640 --> 01:45:06,519 Speaker 1: which isn't surprising. My friend. Don't worry you guys, Prucer 1677 01:45:06,560 --> 01:45:08,320 Speaker 1: Marcus here to keep me humble. But thank you. Dave. 1678 01:45:08,800 --> 01:45:11,479 Speaker 1: My freshman year at you are a guy named Dave 1679 01:45:11,600 --> 01:45:15,200 Speaker 1: Matthews started playing at a local club called the flood 1680 01:45:15,280 --> 01:45:18,599 Speaker 1: Zone with a three dollars cover and the place was empty. 1681 01:45:19,120 --> 01:45:20,800 Speaker 1: I knew he was gonna be big time. It's no 1682 01:45:20,880 --> 01:45:23,719 Speaker 1: matter what you've done. When you started filling in for Glenn, 1683 01:45:23,720 --> 01:45:25,840 Speaker 1: it was obvious you aren't at trajectory for greatness, and 1684 01:45:25,880 --> 01:45:28,000 Speaker 1: you've achieved that. It's awesome and my boys will be 1685 01:45:28,040 --> 01:45:31,479 Speaker 1: lifetime listeners on whatever platform exists over the years. Well, Dave, 1686 01:45:31,520 --> 01:45:33,720 Speaker 1: thank you so much. I really really do appreciate that. 1687 01:45:34,240 --> 01:45:38,160 Speaker 1: And that's awesome. Man. You have seen Dave Matthews in 1688 01:45:38,160 --> 01:45:41,000 Speaker 1: the early days, Prucer Mark, you've seen Dave live? Right? 1689 01:45:41,200 --> 01:45:44,400 Speaker 1: I have not? Actually, you like cold Play, so you'd 1690 01:45:44,400 --> 01:45:46,559 Speaker 1: like Dave Matthews. Yeah, I like Dave Matthews. I just 1691 01:45:46,560 --> 01:45:48,800 Speaker 1: haven't had a chance to go to a concert. Yeah, 1692 01:45:48,840 --> 01:45:51,120 Speaker 1: that would be cool. I've never seen a band live 1693 01:45:51,400 --> 01:45:54,599 Speaker 1: before they got really big, have you? They're like, did 1694 01:45:54,600 --> 01:45:56,679 Speaker 1: you ever did you go see like the Backstreet Boys 1695 01:45:56,680 --> 01:45:59,519 Speaker 1: when they were doing a you know, a thing in 1696 01:45:59,560 --> 01:46:02,719 Speaker 1: a mall somewhere. I'd be I was not even thought 1697 01:46:02,720 --> 01:46:04,719 Speaker 1: of when the Backstreet Boys were doing stuff at malls. 1698 01:46:05,160 --> 01:46:08,280 Speaker 1: Oh that's right. Yeah. But have you ever seen a 1699 01:46:08,280 --> 01:46:10,599 Speaker 1: band that then got big afterwards? No? Not to not 1700 01:46:10,640 --> 01:46:13,280 Speaker 1: to mind. Actually I might have seen somebody open for 1701 01:46:13,400 --> 01:46:15,840 Speaker 1: like the Chili Peppers or someone, but I forget off 1702 01:46:15,840 --> 01:46:17,439 Speaker 1: the top of my head who it was. It's nobody 1703 01:46:17,439 --> 01:46:19,680 Speaker 1: that I like that much. But I know they're bigger now. Man. 1704 01:46:19,720 --> 01:46:21,599 Speaker 1: It's funny. I haven't thought of the Red Hot Chili 1705 01:46:21,640 --> 01:46:24,679 Speaker 1: Peppers in a while. I love that band. That band 1706 01:46:24,760 --> 01:46:29,120 Speaker 1: was always like on my playlists. Always they were they. 1707 01:46:29,160 --> 01:46:30,600 Speaker 1: I never went through a phase where they were the 1708 01:46:30,600 --> 01:46:33,759 Speaker 1: band I listened to the most, but they were always 1709 01:46:33,760 --> 01:46:35,439 Speaker 1: in the mix, you know what I mean, literally on 1710 01:46:35,520 --> 01:46:38,479 Speaker 1: the mix. They are probably a close second to Coldplay 1711 01:46:38,560 --> 01:46:42,320 Speaker 1: for me. Really amazing live. Have you ever seen them live? No? 1712 01:46:42,439 --> 01:46:44,320 Speaker 1: But I'm sure they would be. They would be great. 1713 01:46:45,200 --> 01:46:47,360 Speaker 1: I'm a fan. I could LEGITIMI say I'm a Red 1714 01:46:47,400 --> 01:46:50,760 Speaker 1: Hot Chili Peppers fan, so as am I. Yeah, I 1715 01:46:50,800 --> 01:46:53,519 Speaker 1: didn't realize they remember too. Look at you. Pretty pretty 1716 01:46:53,560 --> 01:46:56,720 Speaker 1: solid choices from you, you know, Yeah, not not not 1717 01:46:56,840 --> 01:47:01,720 Speaker 1: coming out here with the Venga Boys or um. I 1718 01:47:01,760 --> 01:47:03,200 Speaker 1: would trying to think of like a band that will 1719 01:47:03,240 --> 01:47:07,240 Speaker 1: upset you. Britney Spears, well, I mean pretty look if 1720 01:47:07,280 --> 01:47:09,240 Speaker 1: you were, if you were a young lady, I would 1721 01:47:09,240 --> 01:47:12,400 Speaker 1: say Britney Spears would be you know, my Britney Spears. 1722 01:47:12,479 --> 01:47:13,800 Speaker 1: I'm just saying from me to path of them as 1723 01:47:13,840 --> 01:47:17,800 Speaker 1: my favorite. My sister loves Britney Spears, which I totally get. 1724 01:47:17,880 --> 01:47:20,679 Speaker 1: But she loves She's She's a lawyer, and I feel 1725 01:47:20,720 --> 01:47:23,280 Speaker 1: like any day now she's gonna file an emotion to 1726 01:47:23,880 --> 01:47:27,000 Speaker 1: get Britney out of her conservator ship or whatever it's called, 1727 01:47:27,040 --> 01:47:29,440 Speaker 1: where she can't make her own, you know, legal decisions 1728 01:47:29,439 --> 01:47:32,240 Speaker 1: and economic decisions. So yeah, I watched the there was 1729 01:47:32,240 --> 01:47:35,320 Speaker 1: a documentary on that. Yeah, that's really interesting. Free Britney. Yeah, 1730 01:47:35,360 --> 01:47:38,720 Speaker 1: totally all right, Lauren bucking Mark, I remember sitting in 1731 01:47:38,760 --> 01:47:42,320 Speaker 1: a grocery store parking lot at Christmas time listening to 1732 01:47:42,400 --> 01:47:44,879 Speaker 1: Rush saying goodbye to all of us. I'm a Rush baby, 1733 01:47:45,200 --> 01:47:48,320 Speaker 1: tears streaming down my face. I could not believe the 1734 01:47:48,360 --> 01:47:50,559 Speaker 1: world was losing his voice, that I was losing my 1735 01:47:50,680 --> 01:47:52,640 Speaker 1: noon date with a man that had always made me 1736 01:47:52,720 --> 01:47:55,200 Speaker 1: laugh and brought comfort. When I thought of who should 1737 01:47:55,200 --> 01:47:58,080 Speaker 1: replace him, I told my husband it should be Buck. 1738 01:47:58,760 --> 01:48:01,120 Speaker 1: Thrilled to have my noon date back with someone who 1739 01:48:01,120 --> 01:48:03,200 Speaker 1: makes me laugh and provides a touch tone in this 1740 01:48:03,240 --> 01:48:06,679 Speaker 1: crazy world. Shields high and may they protect the golden 1741 01:48:06,760 --> 01:48:10,640 Speaker 1: EIB microphone. Lauren. That is very kind of you. I 1742 01:48:10,680 --> 01:48:13,360 Speaker 1: really appreciate that, and it's a it's a tremendous honor 1743 01:48:13,400 --> 01:48:16,040 Speaker 1: that you would even think of me in that way. 1744 01:48:16,320 --> 01:48:19,800 Speaker 1: And Yeah, I'm gonna do Clay and I are going 1745 01:48:19,840 --> 01:48:21,600 Speaker 1: to do a great show together. I can assure you 1746 01:48:21,640 --> 01:48:24,200 Speaker 1: of that. You'll have a lot of my perspective on 1747 01:48:24,280 --> 01:48:27,120 Speaker 1: things every day twelve to three, and there will be 1748 01:48:28,600 --> 01:48:30,719 Speaker 1: Clay is going to bring a lot to the table too, 1749 01:48:31,000 --> 01:48:33,360 Speaker 1: and hasn't been joking around at least for those in 1750 01:48:33,400 --> 01:48:35,920 Speaker 1: the audience that do like somebody to have some knowledge 1751 01:48:35,920 --> 01:48:39,320 Speaker 1: of professional sports, will certainly bring that because I'm I'm 1752 01:48:39,360 --> 01:48:41,320 Speaker 1: so out of it. I mean, I pretend to be 1753 01:48:41,360 --> 01:48:42,880 Speaker 1: a little more out of it than I am sometimes 1754 01:48:42,880 --> 01:48:45,000 Speaker 1: to joke around with producer Mark on professional sports. But 1755 01:48:45,080 --> 01:48:48,200 Speaker 1: I can tell you other than the Super Bowl or 1756 01:48:48,280 --> 01:48:52,360 Speaker 1: a tennis match, professional tennis match, I have not watched 1757 01:48:52,360 --> 01:48:57,519 Speaker 1: a sporting event start to finish. I don't know, five years, 1758 01:48:57,560 --> 01:49:01,720 Speaker 1: maybe ten years not watch one to finish, so it's 1759 01:49:01,800 --> 01:49:04,920 Speaker 1: absolutely insane to me. But we're different people. Yeah, yeah, 1760 01:49:04,960 --> 01:49:08,760 Speaker 1: I know, David, all the best and congratulations on the 1761 01:49:08,760 --> 01:49:12,679 Speaker 1: show was encouraging to hear. I want to add while 1762 01:49:12,680 --> 01:49:16,439 Speaker 1: I'm at it. In sixth grade, I took algebra before school, 1763 01:49:16,439 --> 01:49:18,240 Speaker 1: so during school math, I was supposed to do my 1764 01:49:18,280 --> 01:49:21,000 Speaker 1: homework in the back of the class. I didn't like homework, 1765 01:49:21,040 --> 01:49:23,000 Speaker 1: so I would listen to Rush on the teacher's old 1766 01:49:23,040 --> 01:49:27,559 Speaker 1: battery operator transistor radio, hiding under the table, pretending I'm 1767 01:49:27,560 --> 01:49:30,439 Speaker 1: doing my homework. Even in sixth grade, Rush would make 1768 01:49:30,479 --> 01:49:32,799 Speaker 1: me laugh so much that I almost gave myself away 1769 01:49:32,840 --> 01:49:36,479 Speaker 1: once forgetting where I was where I was and started laughing. Well, David, 1770 01:49:36,520 --> 01:49:41,040 Speaker 1: that's a great story, man, that's really funny. I wish 1771 01:49:41,320 --> 01:49:42,880 Speaker 1: I don't know, I feel like I would. I would 1772 01:49:42,880 --> 01:49:44,960 Speaker 1: have gotten so distracted if I had had the ability 1773 01:49:44,960 --> 01:49:48,479 Speaker 1: to listen to radio or podcasts in my classrooms, especially 1774 01:49:48,479 --> 01:49:50,960 Speaker 1: in high school. I went through a phase in high 1775 01:49:50,960 --> 01:49:53,120 Speaker 1: school where I just didn't really care that much about 1776 01:49:53,160 --> 01:49:55,280 Speaker 1: school work. I mean, I cared enough to get it done, 1777 01:49:55,280 --> 01:49:59,280 Speaker 1: but I didn't. I didn't. I didn't want. I didn't 1778 01:49:59,280 --> 01:50:01,720 Speaker 1: have a desire to excel. I had the desire to 1779 01:50:01,720 --> 01:50:03,120 Speaker 1: do what I needed to do to get where I 1780 01:50:03,120 --> 01:50:05,640 Speaker 1: needed to get. So it would have been bad, I 1781 01:50:05,680 --> 01:50:10,800 Speaker 1: think if I had had distractions like the radio. But anyway, yeah, 1782 01:50:10,800 --> 01:50:14,280 Speaker 1: that's a that's a that's a very cool story, David, Matt. 1783 01:50:15,360 --> 01:50:18,640 Speaker 1: Congratulations Team Buck on your new career opportunity. Congrats to 1784 01:50:18,720 --> 01:50:23,559 Speaker 1: Clay Travis. Also, there are two X Files movies. Both 1785 01:50:23,560 --> 01:50:26,640 Speaker 1: are pretty good films, with the first being better than 1786 01:50:26,640 --> 01:50:31,360 Speaker 1: the second. The first is true to the series alien plotline, 1787 01:50:31,360 --> 01:50:34,040 Speaker 1: while the second is more Earth based. You would find 1788 01:50:34,080 --> 01:50:36,519 Speaker 1: them entertaining. Buck, Producer Mark, if you watch the series, 1789 01:50:36,560 --> 01:50:39,120 Speaker 1: you might have a different opinion. Prucer Mark, what do 1790 01:50:39,120 --> 01:50:41,360 Speaker 1: we think? I don't think there's anything that could ever 1791 01:50:41,439 --> 01:50:44,000 Speaker 1: make me watch that movie again. That's how bad it was. 1792 01:50:44,080 --> 01:50:47,160 Speaker 1: And I was with people who said who liked the 1793 01:50:47,280 --> 01:50:49,160 Speaker 1: X Files, like the series and watch it and still 1794 01:50:49,160 --> 01:50:52,679 Speaker 1: said the movie was trash. So to each their own. 1795 01:50:52,800 --> 01:50:56,000 Speaker 1: But I will never watch that movie again. It's okay, Matt. 1796 01:50:56,040 --> 01:50:58,719 Speaker 1: I just want to say, Producer Mark likes the Entourage movie, 1797 01:50:59,000 --> 01:51:02,000 Speaker 1: so he's clearly has some flaws. I didn't say I 1798 01:51:02,120 --> 01:51:04,960 Speaker 1: like to be Entourage movie. I'm saying it wasn't terrible. 1799 01:51:05,360 --> 01:51:09,200 Speaker 1: It was okay. I mean that is that is so 1800 01:51:09,320 --> 01:51:11,960 Speaker 1: generous for what maybe the worst, the worst thing I've 1801 01:51:12,000 --> 01:51:16,360 Speaker 1: ever seen. It was a bad movie in terms of 1802 01:51:16,400 --> 01:51:18,679 Speaker 1: being a movie. It was bad, but I wouldn't say 1803 01:51:18,680 --> 01:51:24,200 Speaker 1: I wasn't entertained at all enough. And one more here, Buck, 1804 01:51:24,240 --> 01:51:26,240 Speaker 1: I'm so thrilled bit of fan since you began. I 1805 01:51:26,280 --> 01:51:28,800 Speaker 1: was there every Saturday on your first radio show. I 1806 01:51:28,840 --> 01:51:30,840 Speaker 1: was there when Glenn Interview you had said you will 1807 01:51:30,880 --> 01:51:32,920 Speaker 1: be a star. I was there for your first time 1808 01:51:32,960 --> 01:51:35,120 Speaker 1: filling in for Russia. Couldn't be prouder. I'm seventy five, 1809 01:51:35,200 --> 01:51:38,080 Speaker 1: could be your grandma. Congrats well and thank you for 1810 01:51:38,160 --> 01:51:41,439 Speaker 1: being Oss and with me all along and we're going 1811 01:51:41,520 --> 01:51:43,439 Speaker 1: places and you me and the rest of the team. 1812 01:51:43,479 --> 01:51:46,639 Speaker 1: It's gonna be amazing. Thank you so much for listening today, folks. 1813 01:51:47,000 --> 01:51:48,960 Speaker 1: A few more weeks here at this time. Then we 1814 01:51:49,000 --> 01:51:52,600 Speaker 1: go twelve to three, twelve to three on hundreds of 1815 01:51:52,640 --> 01:51:56,200 Speaker 1: stations across the country until tomorrow. Shields High