1 00:00:00,200 --> 00:00:03,800 Speaker 1: Team Buck. Welcome to the Freedom Hunt. Monday, February twenty 2 00:00:04,000 --> 00:00:08,520 Speaker 1: first edition of the program. We have the CDC admits 3 00:00:08,560 --> 00:00:14,520 Speaker 1: to hiding data from the American people about COVID vaccinations 4 00:00:14,640 --> 00:00:16,880 Speaker 1: and all the rest of it. Not a surprise to me. 5 00:00:17,360 --> 00:00:19,720 Speaker 1: The CDC is awful, But we will break this down 6 00:00:19,760 --> 00:00:21,560 Speaker 1: for you're reporting the New York Times. By the way, 7 00:00:21,800 --> 00:00:25,400 Speaker 1: we've also got the prospect, the imminent prospect of war 8 00:00:25,600 --> 00:00:28,840 Speaker 1: in Ukraine. What is Putin trying to accomplish here and 9 00:00:29,080 --> 00:00:31,479 Speaker 1: what is the Biden regime going to do about it? 10 00:00:31,920 --> 00:00:35,840 Speaker 1: And then of course they started breaking down the protest 11 00:00:35,960 --> 00:00:39,280 Speaker 1: over the weekend police sent in in Ottawa. We'll talk 12 00:00:39,280 --> 00:00:42,199 Speaker 1: in just a moment about the truckers. What is the 13 00:00:42,400 --> 00:00:46,559 Speaker 1: lesson here, if anything, about what has happened in Ottawa 14 00:00:46,680 --> 00:00:49,519 Speaker 1: thus far, and where should we go from here. We 15 00:00:49,560 --> 00:00:51,320 Speaker 1: will get into all of that in just a moment. 16 00:00:51,640 --> 00:00:54,960 Speaker 1: When running a business, HR issues can kill you, Wrongful 17 00:00:55,040 --> 00:00:58,960 Speaker 1: termination suits, minimum wage requirements, labor regulations, and HR manager 18 00:00:59,000 --> 00:01:02,280 Speaker 1: salaries aren't cheap and average of seventy thousand dollars a year. 19 00:01:02,720 --> 00:01:07,520 Speaker 1: Bambi spelled Bambee was created specifically for small business. You 20 00:01:07,560 --> 00:01:10,280 Speaker 1: can get a dedicated HR manager, craft HR policy and 21 00:01:10,400 --> 00:01:14,360 Speaker 1: maintain your compliance all for just ninety nine dollars a month. 22 00:01:14,640 --> 00:01:17,560 Speaker 1: With Bamby, you can change HR from your biggest liability 23 00:01:17,600 --> 00:01:21,080 Speaker 1: to your biggest strength. Your dedicated HR manager is available 24 00:01:21,080 --> 00:01:24,520 Speaker 1: by phone, email, or real time chat from onboarding determinations 25 00:01:24,520 --> 00:01:27,039 Speaker 1: that customize your policies to fit your business and help 26 00:01:27,080 --> 00:01:30,000 Speaker 1: you manage your employees day today, all for just ninety 27 00:01:30,080 --> 00:01:32,880 Speaker 1: nine dollars a month. It's month a month, no hidden fees. 28 00:01:32,920 --> 00:01:35,600 Speaker 1: Cancel anytime it didn't start your business because you wanted 29 00:01:35,640 --> 00:01:38,560 Speaker 1: to spend time on HR compliance. Let Bambi help get 30 00:01:38,600 --> 00:01:42,479 Speaker 1: your free HR audit today. Go to Bamby. That's Bambee 31 00:01:42,840 --> 00:01:45,720 Speaker 1: Bambi dot com slash buck right now to schedule your 32 00:01:45,760 --> 00:01:52,480 Speaker 1: free HR audit Bambi Bambe Bambi dot com slash buck Now, friends, 33 00:01:52,560 --> 00:01:57,040 Speaker 1: let's dive into the situation of the truckers. The police 34 00:01:57,200 --> 00:02:02,440 Speaker 1: in Ottawa sent in lot of really disturbing video of 35 00:02:03,080 --> 00:02:10,120 Speaker 1: men with tactical gear on and assault rifles or whatever 36 00:02:10,680 --> 00:02:14,240 Speaker 1: doesn't matter, long guns who are pointing them at these 37 00:02:14,240 --> 00:02:18,519 Speaker 1: truckers in their trucks, who haven't done anything to anybody 38 00:02:18,560 --> 00:02:20,760 Speaker 1: that is violent. There's no threat to the public from 39 00:02:20,800 --> 00:02:24,200 Speaker 1: these individuals, but people who look like they're dressed for 40 00:02:24,919 --> 00:02:28,239 Speaker 1: the raid on Osama bin Laden's hide out in a 41 00:02:28,320 --> 00:02:32,840 Speaker 1: badabad in Canada here are going after the truckers and 42 00:02:32,919 --> 00:02:35,280 Speaker 1: have arrested over the weekend. They went in on seventy 43 00:02:35,280 --> 00:02:38,720 Speaker 1: one hundred and on Saturday one hundred and seventy people arrested, 44 00:02:38,760 --> 00:02:41,440 Speaker 1: forty six vehicles removed, and they've set up more and 45 00:02:41,440 --> 00:02:44,720 Speaker 1: more checkpoints, so they're squeezing out the Ottawa Police are 46 00:02:44,760 --> 00:02:49,840 Speaker 1: squeezing out the remaining truckers. Let's just understand what we've 47 00:02:49,880 --> 00:02:55,240 Speaker 1: seen here is that all these smug pronoun announcing liberals 48 00:02:55,280 --> 00:02:58,160 Speaker 1: who pretend that they care so much about humanity and 49 00:02:58,240 --> 00:03:03,080 Speaker 1: being kind and help people through climate change fighting or whatever, 50 00:03:03,840 --> 00:03:06,440 Speaker 1: they will the moment that you don't do what they want, 51 00:03:06,720 --> 00:03:10,720 Speaker 1: they will call in men with guns and batons to attack, 52 00:03:11,919 --> 00:03:15,080 Speaker 1: even for something as stupid as a vaccine mandate that, 53 00:03:15,120 --> 00:03:19,880 Speaker 1: as we see has failed. Failed. Okay, the vaccine mandate 54 00:03:19,880 --> 00:03:22,000 Speaker 1: as a policy to stop the spread of COVID. We 55 00:03:22,040 --> 00:03:26,919 Speaker 1: went through a massive COVID season this country, Canada. Okay, 56 00:03:26,919 --> 00:03:31,840 Speaker 1: omicron ripped through places with very high vaccination reads. Canada 57 00:03:31,919 --> 00:03:36,000 Speaker 1: is a very highly vaccinated country. My friends, the truckers 58 00:03:36,000 --> 00:03:39,240 Speaker 1: are vaccinated. This was a protest against the tyrannical mindset 59 00:03:39,280 --> 00:03:43,200 Speaker 1: of the government and the apparatus of control, including the media, 60 00:03:43,400 --> 00:03:49,600 Speaker 1: the financial and social elites in Canada and here in America, 61 00:03:49,720 --> 00:03:53,120 Speaker 1: who are just non responsive to reality. I mean, after 62 00:03:53,200 --> 00:03:54,960 Speaker 1: a while you have to look and see what's going 63 00:03:54,960 --> 00:03:57,160 Speaker 1: on and say to yourself, what the heck is going 64 00:03:57,200 --> 00:04:00,480 Speaker 1: on here? What are they doing, what are they think 65 00:04:00,880 --> 00:04:06,680 Speaker 1: they are achieving. It's appalling, appalling that they just at 66 00:04:06,680 --> 00:04:10,440 Speaker 1: this point want you to comply. This is about compliance. 67 00:04:10,720 --> 00:04:13,600 Speaker 1: Bend the knee. The government has the power to do 68 00:04:13,760 --> 00:04:16,320 Speaker 1: what it will with you, and if you try to 69 00:04:16,400 --> 00:04:20,160 Speaker 1: fight back against that, they will arrest you. They will 70 00:04:20,200 --> 00:04:22,320 Speaker 1: seize your bank accounts. If you even try to help 71 00:04:22,400 --> 00:04:27,039 Speaker 1: people who are peacefully protesting against it, they will arrest you. 72 00:04:27,400 --> 00:04:30,080 Speaker 1: They will shut down your business, they will shut down 73 00:04:30,200 --> 00:04:36,240 Speaker 1: your bank accounts. It is awful, absolutely awful what has 74 00:04:36,279 --> 00:04:39,440 Speaker 1: been done here. Justin Trudeau is a petty tyrant and 75 00:04:39,520 --> 00:04:43,120 Speaker 1: a tinpot dictator of sorts in Canada, and we've all 76 00:04:43,160 --> 00:04:46,240 Speaker 1: seen this and in many ways he is representative of 77 00:04:46,279 --> 00:04:52,280 Speaker 1: this managerial elites and a progressive manager elited that where 78 00:04:52,320 --> 00:04:54,560 Speaker 1: he's a guy who doesn't know how to do anything, 79 00:04:55,000 --> 00:04:59,240 Speaker 1: he adds no value other than mouthing the preferred slogans 80 00:04:59,320 --> 00:05:02,520 Speaker 1: of the left and trying to dictate every aspect of 81 00:05:02,560 --> 00:05:06,719 Speaker 1: life to you and everybody else if you live in Canada. 82 00:05:06,839 --> 00:05:09,440 Speaker 1: That's the whole point, that's the whole purpose. It's power 83 00:05:09,880 --> 00:05:14,440 Speaker 1: and the will to power. That is the reality that 84 00:05:14,480 --> 00:05:16,640 Speaker 1: we see here of what has happened in Canada. I 85 00:05:16,960 --> 00:05:20,280 Speaker 1: just gotta tell you, I am so proud of what 86 00:05:20,320 --> 00:05:22,760 Speaker 1: the truckers, even to this point, have accomplished. I think 87 00:05:22,800 --> 00:05:26,280 Speaker 1: they were standing for something that all of us can 88 00:05:26,400 --> 00:05:32,360 Speaker 1: rally behind, which is basic human freedom and end to tyranny, 89 00:05:32,440 --> 00:05:35,360 Speaker 1: an end to mandates. But let's just take a moment 90 00:05:35,400 --> 00:05:40,520 Speaker 1: to realize did not work, did not get it done 91 00:05:40,640 --> 00:05:43,960 Speaker 1: at all. Okay, the mandates were supposed to stop the 92 00:05:43,960 --> 00:05:47,160 Speaker 1: spread the mandates. We're not about individual protection. Individual protection 93 00:05:47,240 --> 00:05:49,520 Speaker 1: is a decision you can make for yourself. That would 94 00:05:49,560 --> 00:05:51,839 Speaker 1: be basic medical freedom. And as I've said a million 95 00:05:51,880 --> 00:05:54,000 Speaker 1: times before on this show, on the Clay and Buck Show, 96 00:05:54,560 --> 00:06:00,520 Speaker 1: you should absolutely get in my mind, the shot if 97 00:06:00,560 --> 00:06:03,000 Speaker 1: you're sixty five and up, if you're at high risk 98 00:06:03,279 --> 00:06:06,000 Speaker 1: just because COVID is dangerous to people who are at 99 00:06:06,080 --> 00:06:08,520 Speaker 1: high risk at high risk from a bad COVID outcome. 100 00:06:09,400 --> 00:06:12,200 Speaker 1: So now should notice it's not the same thing as must, 101 00:06:13,040 --> 00:06:14,800 Speaker 1: but in canon of the US and so many other 102 00:06:14,800 --> 00:06:17,800 Speaker 1: countries it became must. And when we said why, they said, well, 103 00:06:17,800 --> 00:06:21,159 Speaker 1: because it'll stop other people. You're a threat to other people. 104 00:06:21,160 --> 00:06:24,360 Speaker 1: Oh well, oh, Macron just made a mockery of their 105 00:06:24,360 --> 00:06:27,159 Speaker 1: whole argument. And they don't want you, They don't want 106 00:06:27,160 --> 00:06:30,320 Speaker 1: anyone to look at this and say wow. The people 107 00:06:30,360 --> 00:06:32,120 Speaker 1: in charge here in this government are a bunch of 108 00:06:32,160 --> 00:06:36,280 Speaker 1: morons and tyrants, and they don't hold themselves accountable when 109 00:06:36,279 --> 00:06:39,560 Speaker 1: they're wrong. They don't change based upon the data. They 110 00:06:39,600 --> 00:06:41,680 Speaker 1: would just rather tell everyone to shut up and do 111 00:06:41,720 --> 00:06:45,960 Speaker 1: what they're told. Well, I say no, I say that's 112 00:06:46,480 --> 00:06:51,120 Speaker 1: a problem. And then that brings me to where we are. 113 00:06:51,600 --> 00:06:54,760 Speaker 1: I'm gonna get into the CDC in a moment here, 114 00:06:55,320 --> 00:06:58,880 Speaker 1: but let me first just point out masking children in schools. 115 00:06:58,920 --> 00:07:01,320 Speaker 1: I had never heard anyone referred to as child abuse 116 00:07:01,400 --> 00:07:03,040 Speaker 1: before I said it on the clan Buck Show. Now 117 00:07:03,080 --> 00:07:05,400 Speaker 1: it's caught up, caught on everywhere. People are calling a 118 00:07:05,480 --> 00:07:09,520 Speaker 1: child abuse. Great, great, I'm trying to push for the truth. 119 00:07:09,600 --> 00:07:12,800 Speaker 1: I'm trying to help with our side, with the movement. 120 00:07:13,480 --> 00:07:16,800 Speaker 1: I'm not in the business of walking around and saying 121 00:07:16,800 --> 00:07:19,200 Speaker 1: well I said something. First of where, who cares? It 122 00:07:19,320 --> 00:07:22,760 Speaker 1: is child abuse. It's appalling what has been done to 123 00:07:22,920 --> 00:07:25,600 Speaker 1: children in schools that are still masking kids up. I'm 124 00:07:25,600 --> 00:07:27,640 Speaker 1: down here in Florida as I'm doing this podcast right 125 00:07:27,680 --> 00:07:31,320 Speaker 1: now and it's just amazing people walking around And if 126 00:07:31,480 --> 00:07:33,680 Speaker 1: COVID is effectively over here, I mean it has been 127 00:07:33,720 --> 00:07:35,800 Speaker 1: for a long time. But the only place you have 128 00:07:35,800 --> 00:07:39,520 Speaker 1: to deal with it is transportation idiocy so Uber a 129 00:07:39,680 --> 00:07:43,800 Speaker 1: left wing lunatic company, and Lyft, and you know, if 130 00:07:43,800 --> 00:07:45,880 Speaker 1: you go on a plane, obviously that's where you have 131 00:07:45,880 --> 00:07:47,960 Speaker 1: to mask up. But short of that, and even some 132 00:07:48,000 --> 00:07:49,840 Speaker 1: of the Uber drivers, god bless them, they're like, I'm 133 00:07:49,880 --> 00:07:51,480 Speaker 1: not you know, I'm asking up. They don't have to 134 00:07:51,520 --> 00:07:54,800 Speaker 1: worry about that. That's crap right So here I am. 135 00:07:54,800 --> 00:07:56,160 Speaker 1: I'm going to go back to New York at the 136 00:07:56,240 --> 00:07:57,800 Speaker 1: end of this and there's still going to be lunatics 137 00:07:58,000 --> 00:08:01,080 Speaker 1: asking for my vaccine passport and restaurants. It's disgustings. People 138 00:08:01,080 --> 00:08:04,600 Speaker 1: are morons. I am angry at them. I hold them 139 00:08:04,640 --> 00:08:09,120 Speaker 1: in contempt because they were wrong, they were vicious, and 140 00:08:09,200 --> 00:08:11,360 Speaker 1: now they will not face the reality. They do not 141 00:08:11,400 --> 00:08:16,320 Speaker 1: want to face the consequences, and they absolutely should. Even 142 00:08:17,000 --> 00:08:20,960 Speaker 1: even Bill Maher, who is a man of the left, 143 00:08:21,560 --> 00:08:25,720 Speaker 1: but he does have some streaks of a classical liberal 144 00:08:26,080 --> 00:08:29,800 Speaker 1: in him, or at least a liberal from twenty or 145 00:08:29,840 --> 00:08:33,080 Speaker 1: thirty years ago. Perhaps he still does believe in some 146 00:08:33,240 --> 00:08:37,960 Speaker 1: individual liberties, and he recognizes that what's going on with 147 00:08:38,000 --> 00:08:41,760 Speaker 1: the masking of kids in schools is sheer idiocy, and 148 00:08:41,840 --> 00:08:43,719 Speaker 1: it is child abuse, and it's stupid. It's bad for 149 00:08:43,760 --> 00:08:45,360 Speaker 1: the kids, the adults who are doing it or wrong. 150 00:08:45,440 --> 00:08:48,880 Speaker 1: Here he is on his show Polayclip five the masks 151 00:08:48,920 --> 00:08:51,839 Speaker 1: with the kids. It's not time to check that having 152 00:08:51,840 --> 00:08:54,280 Speaker 1: a five year old in school right now, I would 153 00:08:54,320 --> 00:08:59,360 Speaker 1: like to see them go better need them. You mean 154 00:08:59,559 --> 00:09:02,839 Speaker 1: kids at least vulnerable, and I mean to make these 155 00:09:02,880 --> 00:09:06,600 Speaker 1: little children into into Howe Mandel's is what you're doing. 156 00:09:07,440 --> 00:09:12,360 Speaker 1: It's true, a generation of Howe Mandel's, a little Germ 157 00:09:12,520 --> 00:09:20,959 Speaker 1: paranoid munchkins. Germ paranoid munchkins. He's right, because this is 158 00:09:21,000 --> 00:09:24,720 Speaker 1: going to affect the way children live their lives for 159 00:09:24,880 --> 00:09:27,960 Speaker 1: a long time. Going forward. This is going to affect 160 00:09:28,760 --> 00:09:30,840 Speaker 1: the way that they view the world around them and 161 00:09:30,960 --> 00:09:33,719 Speaker 1: adults and whether they can trust them. And that then 162 00:09:33,800 --> 00:09:36,640 Speaker 1: brings me to this piece in I mean, I think 163 00:09:36,679 --> 00:09:38,960 Speaker 1: this is a good transition point, this piece in the 164 00:09:39,200 --> 00:09:42,079 Speaker 1: New York Times. I mean I read this an Initially 165 00:09:42,080 --> 00:09:45,800 Speaker 1: I just thought to myself, how many more times do 166 00:09:45,840 --> 00:09:51,320 Speaker 1: I have to be right? How many more times do 167 00:09:51,360 --> 00:09:55,880 Speaker 1: I get to see this situation play out and recognize 168 00:09:55,920 --> 00:09:59,120 Speaker 1: that what I've been saying all along is true? And 169 00:09:59,240 --> 00:10:01,840 Speaker 1: then we move past it and the people that have 170 00:10:01,920 --> 00:10:06,560 Speaker 1: been criticizing folks like me, they pretend that this isn't 171 00:10:06,559 --> 00:10:08,120 Speaker 1: the case. Let me just read you the headlines so 172 00:10:08,120 --> 00:10:10,760 Speaker 1: you get a sense where we are here. The CDC 173 00:10:11,080 --> 00:10:15,040 Speaker 1: isn't publishing large portion of the COVID data it collects. 174 00:10:15,600 --> 00:10:19,360 Speaker 1: The agency has withheld critical data on boosters, hospitalizations and 175 00:10:19,480 --> 00:10:25,120 Speaker 1: until recently wastewater analyzes. Let's just understand what this is 176 00:10:25,120 --> 00:10:30,760 Speaker 1: telling you. The CDC is withholding data from the public 177 00:10:30,920 --> 00:10:35,600 Speaker 1: that it has about a pandemic. Now, think about what 178 00:10:35,640 --> 00:10:40,160 Speaker 1: this means. How can there be any accountability for the 179 00:10:40,240 --> 00:10:43,880 Speaker 1: decisions of the or made during the pandemic, The response 180 00:10:43,920 --> 00:10:49,559 Speaker 1: to the pandemic. How can there be any accountability for that? If, 181 00:10:49,600 --> 00:10:53,240 Speaker 1: in fact we don't even know what the raw data is, 182 00:10:53,760 --> 00:10:56,840 Speaker 1: then we're just relying on them to tell us. I mean, 183 00:10:56,920 --> 00:11:00,160 Speaker 1: imagine you're running a company and instead of publishing your 184 00:11:00,160 --> 00:11:01,920 Speaker 1: earnings report as you're required to do, if your public 185 00:11:01,920 --> 00:11:03,800 Speaker 1: company say yeah, I just trust us we had a 186 00:11:03,800 --> 00:11:06,040 Speaker 1: great year. I'm not going to show you the account. 187 00:11:06,040 --> 00:11:07,400 Speaker 1: I'm not going to show you the numbers. They had 188 00:11:07,400 --> 00:11:10,520 Speaker 1: a great year. Don't worry about it. Shut up. That's 189 00:11:10,679 --> 00:11:15,080 Speaker 1: effectively what's going on right now has been going on 190 00:11:15,120 --> 00:11:17,800 Speaker 1: with the CDC for the whole time. It's not recent 191 00:11:18,160 --> 00:11:21,320 Speaker 1: the whole time. Here is the New York Times telling 192 00:11:21,320 --> 00:11:23,240 Speaker 1: you what I've been telling you. How many times have 193 00:11:23,320 --> 00:11:25,560 Speaker 1: you heard me say, either on this podcast or on 194 00:11:25,640 --> 00:11:28,360 Speaker 1: my radio show with Clay, how many times have you 195 00:11:28,400 --> 00:11:31,240 Speaker 1: heard me say, we're going to find out that the 196 00:11:31,280 --> 00:11:33,880 Speaker 1: hospitalization data is very different from what they told us, 197 00:11:34,120 --> 00:11:35,800 Speaker 1: that we're going to find out a lot about the 198 00:11:35,920 --> 00:11:38,600 Speaker 1: vaccines in the future will be different in terms of 199 00:11:38,640 --> 00:11:41,880 Speaker 1: the efficacy than what they told us. But they're holding 200 00:11:41,880 --> 00:11:43,760 Speaker 1: it back, and they're holding it back. You know why 201 00:11:43,960 --> 00:11:46,240 Speaker 1: they're saying they're holding it back because if we saw 202 00:11:46,280 --> 00:11:50,160 Speaker 1: the real numbers, we wouldn't comply. What does that tell 203 00:11:50,240 --> 00:11:53,120 Speaker 1: you about what's going on? To you? Friends? This is 204 00:11:53,160 --> 00:11:56,040 Speaker 1: the New York Times, which wasn't long ago throwing me 205 00:11:56,080 --> 00:11:59,560 Speaker 1: in some lunatic, you know, hit piece because I talked 206 00:11:59,559 --> 00:12:02,240 Speaker 1: about medical phenomenon that was under discussion at one point 207 00:12:02,240 --> 00:12:07,000 Speaker 1: in time. These people are evil, evil You know. The 208 00:12:07,120 --> 00:12:10,640 Speaker 1: CDC isn't publishing large portions of the COVID data collects, 209 00:12:10,640 --> 00:12:17,679 Speaker 1: that is the headline. Why that is completely and utterly inexcusable. 210 00:12:18,280 --> 00:12:20,280 Speaker 1: I mean, if we were in a major war and 211 00:12:20,320 --> 00:12:22,240 Speaker 1: they refer to COVID in the pandemic as a war 212 00:12:22,320 --> 00:12:24,160 Speaker 1: a lot. Do you imagine if the government said, we're 213 00:12:24,160 --> 00:12:26,080 Speaker 1: just not going to tell you what the casualty figures are. 214 00:12:26,120 --> 00:12:29,920 Speaker 1: You're not allowed to know. American people, how can anyone 215 00:12:30,800 --> 00:12:33,720 Speaker 1: judge whether we're making good decisions or not if we 216 00:12:33,720 --> 00:12:36,079 Speaker 1: don't have that If we don't have that information, why 217 00:12:36,120 --> 00:12:39,719 Speaker 1: should we trust Fauchi. Fauci says that he lies on 218 00:12:39,840 --> 00:12:42,040 Speaker 1: purpose for our own good. He said it about masks 219 00:12:42,040 --> 00:12:46,040 Speaker 1: in the past. Why would anyone believe him now? Why 220 00:12:46,080 --> 00:12:50,520 Speaker 1: would anyone believe we Lenski, These are Biden appointees in 221 00:12:50,559 --> 00:12:52,280 Speaker 1: the case of well Lenski and some of the other 222 00:12:52,320 --> 00:12:55,240 Speaker 1: top health officials, that guy, the one who just came 223 00:12:55,280 --> 00:13:00,440 Speaker 1: down with COVID, the surgeon general. Murthy, yeah, murthy. They're 224 00:13:00,480 --> 00:13:03,320 Speaker 1: Biden appointees. They work for the White House. Now, I know, 225 00:13:03,360 --> 00:13:05,680 Speaker 1: the whole federal government in a sense where the whole 226 00:13:05,679 --> 00:13:08,199 Speaker 1: executive branch works for the White House. But when you're 227 00:13:08,200 --> 00:13:10,480 Speaker 1: in appoint thet you're doing the President's bidding pretty much. 228 00:13:10,920 --> 00:13:13,360 Speaker 1: That's how it goes. So you look at this now 229 00:13:13,400 --> 00:13:17,760 Speaker 1: and you say, well, hold on a second, Well, how 230 00:13:17,760 --> 00:13:20,280 Speaker 1: could anyone be okay with this? How can anyone say, 231 00:13:20,320 --> 00:13:23,200 Speaker 1: you know what? The CDC's hiding data from US, hiding 232 00:13:23,200 --> 00:13:27,040 Speaker 1: information from US, and that's a good thing. It's appalling, 233 00:13:27,920 --> 00:13:32,760 Speaker 1: appalling that this has happened. And here you go. When 234 00:13:32,760 --> 00:13:35,679 Speaker 1: the CDC published the first significant data on the effectiveness 235 00:13:35,720 --> 00:13:39,199 Speaker 1: of boosters and young adults an adults younger than sixty 236 00:13:39,240 --> 00:13:42,080 Speaker 1: five two weeks ago, it left out the numbers for 237 00:13:42,120 --> 00:13:45,840 Speaker 1: a huge portion of that population, eighteen to forty nine 238 00:13:45,880 --> 00:13:49,160 Speaker 1: year olds, the group least likely to benefit from extra 239 00:13:49,240 --> 00:13:53,320 Speaker 1: shots because the first two doses already left them well protected. Folks, 240 00:13:54,440 --> 00:13:58,600 Speaker 1: they wanted to make everyone get boosters, even though their 241 00:13:58,640 --> 00:14:04,000 Speaker 1: own data showed that a huge portion tens of millions 242 00:14:04,000 --> 00:14:08,200 Speaker 1: of people did not need boosters. This is what. This 243 00:14:08,280 --> 00:14:12,199 Speaker 1: is what the actual reality of the CDC is. They 244 00:14:12,200 --> 00:14:15,360 Speaker 1: are hiding it because they can't show any benefit, which 245 00:14:15,440 --> 00:14:17,320 Speaker 1: is the problem they ran into. Why are they making 246 00:14:17,360 --> 00:14:21,800 Speaker 1: people get the shot? Here we go the agency recent 247 00:14:21,880 --> 00:14:24,480 Speaker 1: These are quotes. The agency recently debuted a dashboard of 248 00:14:24,520 --> 00:14:27,640 Speaker 1: wastewater data on its website that will be updated daily. 249 00:14:27,640 --> 00:14:29,920 Speaker 1: It might provide early signals of an oncoming surge of 250 00:14:29,960 --> 00:14:33,520 Speaker 1: COVID cases. Some states and localities had been sharing wastewater 251 00:14:33,560 --> 00:14:35,840 Speaker 1: information with the agency since the start of the pandemic, 252 00:14:36,080 --> 00:14:42,440 Speaker 1: but it had never before released those findings. Two full 253 00:14:42,520 --> 00:14:45,080 Speaker 1: years in the pandemic, the agency leading the country's response 254 00:14:45,080 --> 00:14:48,280 Speaker 1: the health emergency has published only a tiny fraction of 255 00:14:48,320 --> 00:14:52,360 Speaker 1: the data it has collected. Much of the withheld information 256 00:14:52,360 --> 00:14:54,640 Speaker 1: could help state in local health officials better target their 257 00:14:54,640 --> 00:14:58,640 Speaker 1: efforts to bring the virus under control. Detailed timely data 258 00:14:58,680 --> 00:15:02,200 Speaker 1: on hospitalizations by age and race would help health officials 259 00:15:02,200 --> 00:15:05,840 Speaker 1: identify and help the populations at highest risk. Information on 260 00:15:05,920 --> 00:15:09,640 Speaker 1: hospitalizations and death by age and vaccination status would have 261 00:15:09,680 --> 00:15:13,680 Speaker 1: helped inform whether healthy adults needed booster shots, and wastewater 262 00:15:13,720 --> 00:15:17,840 Speaker 1: surveillance across the nation would spot outbreaks and emerging variants early. 263 00:15:18,520 --> 00:15:20,840 Speaker 1: Without the booster data for eighteen to forty nine year olds, 264 00:15:20,880 --> 00:15:23,200 Speaker 1: the outside experts whom federal health agencies looked to for 265 00:15:23,240 --> 00:15:26,600 Speaker 1: advice had to rely on numbers from Israel to make 266 00:15:26,680 --> 00:15:31,000 Speaker 1: their recommendations on the shots. Had to rely on Israeli data. 267 00:15:31,040 --> 00:15:33,880 Speaker 1: But the CDC has this data, but they're not going 268 00:15:33,920 --> 00:15:36,240 Speaker 1: to release the data, so we rely on as really data. 269 00:15:36,360 --> 00:15:42,200 Speaker 1: Think about what you are being told here. CDC has 270 00:15:42,440 --> 00:15:46,840 Speaker 1: been lying to you. The CDC has been abusing the 271 00:15:46,920 --> 00:15:53,360 Speaker 1: trust of the American people. This is a massive, massive scandal, 272 00:15:54,840 --> 00:15:57,600 Speaker 1: and it just goes to show those of us who 273 00:15:57,640 --> 00:16:01,920 Speaker 1: have been contemptuous. And I have said, I'm an anti 274 00:16:01,960 --> 00:16:05,520 Speaker 1: mask zealot, I'm an anti fauciite. I think these people 275 00:16:05,520 --> 00:16:11,160 Speaker 1: are the absolute worst. The CDC deserves your scorn. I 276 00:16:11,480 --> 00:16:13,880 Speaker 1: try to tell everybody right now, if we do not 277 00:16:14,240 --> 00:16:17,280 Speaker 1: demand accountability, if we let all the anger at the 278 00:16:17,360 --> 00:16:21,840 Speaker 1: lies and the stupid policies fade, yeah, sure you'll be fine. 279 00:16:21,840 --> 00:16:23,440 Speaker 1: Wherever you are this sum you're gonna be massed up 280 00:16:23,480 --> 00:16:25,480 Speaker 1: on a plane this summer, but I don't feel pretty 281 00:16:25,480 --> 00:16:28,920 Speaker 1: fine across the country. They're going to do this again, 282 00:16:30,320 --> 00:16:32,040 Speaker 1: even if it doesn't even if we don't have a 283 00:16:32,040 --> 00:16:36,240 Speaker 1: super intense COVID season, they're going to do it again 284 00:16:36,920 --> 00:16:40,280 Speaker 1: because they like using this as not just a power 285 00:16:40,360 --> 00:16:43,080 Speaker 1: grab in a general sense. This is compliance training for 286 00:16:43,120 --> 00:16:45,920 Speaker 1: the public. This is the government getting to say, shut 287 00:16:46,000 --> 00:16:48,040 Speaker 1: up and do what we tell you. Whatever we tell 288 00:16:48,120 --> 00:16:51,160 Speaker 1: you. You You have no rights that we are not giving 289 00:16:51,200 --> 00:16:54,000 Speaker 1: to you. That's what we saw it in the pandemic. 290 00:16:54,520 --> 00:16:57,320 Speaker 1: There's an addiction on the left of that kind of power, 291 00:16:58,400 --> 00:17:02,480 Speaker 1: and they're not going to let us dismantle that apparatus readily. 292 00:17:02,480 --> 00:17:04,679 Speaker 1: They're gonna want to keep it in waiting for when 293 00:17:04,680 --> 00:17:08,199 Speaker 1: they want to use it again. It is essential that 294 00:17:08,320 --> 00:17:13,640 Speaker 1: we actually push now for the full scope of information 295 00:17:13,840 --> 00:17:20,640 Speaker 1: data answers, and that there is tremendous backlash. I am 296 00:17:20,680 --> 00:17:24,639 Speaker 1: calling for backlash against these idiot health authorities who were wrong, 297 00:17:25,640 --> 00:17:28,600 Speaker 1: and now you're being told that they have lied to you, 298 00:17:29,600 --> 00:17:31,720 Speaker 1: they have held data from because they're worried people gonna 299 00:17:31,760 --> 00:17:34,520 Speaker 1: misinterpret the data. You know. I think we can tell 300 00:17:35,000 --> 00:17:37,760 Speaker 1: if they gave data on boosters of you know, eighteen 301 00:17:37,840 --> 00:17:39,960 Speaker 1: to whatever it was forty nine year olds or whatever 302 00:17:39,960 --> 00:17:42,520 Speaker 1: the specific age group was something like that. Yeah, it 303 00:17:42,600 --> 00:17:45,160 Speaker 1: was a good job buck eighteen to forty nine. If 304 00:17:45,160 --> 00:17:47,720 Speaker 1: they gave us specific data on that, that showed that 305 00:17:47,840 --> 00:17:49,840 Speaker 1: you can't tell if people need boosters or not in 306 00:17:49,880 --> 00:17:52,359 Speaker 1: that age group, Yeah, we could figure that out. But 307 00:17:52,440 --> 00:17:54,960 Speaker 1: they didn't want us to figure that out because they 308 00:17:55,000 --> 00:17:59,280 Speaker 1: wanted us to just shut up and listen. And it's wrong. 309 00:18:00,560 --> 00:18:05,080 Speaker 1: It's wrong what they've done. And this is the biggest 310 00:18:05,760 --> 00:18:13,200 Speaker 1: government the biggest botched government operation, government action in my lifetime. 311 00:18:13,720 --> 00:18:16,280 Speaker 1: I mean, this is friends, this is worse what has 312 00:18:16,320 --> 00:18:17,960 Speaker 1: gone on here than anything else that we have lived 313 00:18:17,960 --> 00:18:20,560 Speaker 1: through in terms of our own governments, tyranny, our own 314 00:18:20,560 --> 00:18:23,679 Speaker 1: government's failures. This is the worst thing I've seen in 315 00:18:23,680 --> 00:18:27,080 Speaker 1: my lifetime, the COVID response. Think of just all the 316 00:18:27,200 --> 00:18:30,199 Speaker 1: misery and the despair, the lost years of life, the 317 00:18:30,240 --> 00:18:33,760 Speaker 1: lost hours of sanity, all the people dying of drug overdoses, 318 00:18:33,760 --> 00:18:35,680 Speaker 1: all these they're just starting to talk about. All the 319 00:18:35,760 --> 00:18:38,040 Speaker 1: Stage four cancers they're finding would have been stage one 320 00:18:38,119 --> 00:18:40,840 Speaker 1: or stage two. But although they had to shut down 321 00:18:40,880 --> 00:18:42,520 Speaker 1: a lot of health services early on, it was so 322 00:18:42,640 --> 00:18:46,720 Speaker 1: terrifying with COVID. Now now people have inoperable cancers. They're 323 00:18:46,760 --> 00:18:51,840 Speaker 1: they're dying because people were cowards and the medical establishment 324 00:18:51,920 --> 00:18:54,800 Speaker 1: is far too controlled by the federal government and the media. 325 00:18:54,880 --> 00:18:59,280 Speaker 1: People didn't want to lose their licenses. It's we need 326 00:18:59,480 --> 00:19:05,199 Speaker 1: we need a full reconciliation hearing on this. I mean, 327 00:19:05,240 --> 00:19:08,280 Speaker 1: we need to have a full coming together, a reckoning hearing, 328 00:19:08,320 --> 00:19:10,560 Speaker 1: if you will, on what has been done in this 329 00:19:10,640 --> 00:19:14,280 Speaker 1: country and now Russia Ukraine. Just for a moment, I'll 330 00:19:14,280 --> 00:19:16,320 Speaker 1: tell you what my thoughts are on this one. John Kirby, 331 00:19:16,320 --> 00:19:20,000 Speaker 1: who's the Pentagon spokesmen, saying the invasion could come today, 332 00:19:20,040 --> 00:19:23,000 Speaker 1: play clip one. I mean we've been saying for a 333 00:19:23,040 --> 00:19:27,199 Speaker 1: while now, Willie, could happen any day. Today, could be 334 00:19:27,240 --> 00:19:29,879 Speaker 1: that day. And what tells you that? Well, again, I 335 00:19:29,880 --> 00:19:33,200 Speaker 1: think it's a combination of the intelligence that we've been seeing. 336 00:19:33,320 --> 00:19:36,520 Speaker 1: Quite frankly, it's also right out there in plain sight, Willie. 337 00:19:36,600 --> 00:19:39,520 Speaker 1: Just look at what Richard was just reporting from the 338 00:19:39,560 --> 00:19:41,560 Speaker 1: eastern part of Ukraine. Look at what you can see 339 00:19:41,600 --> 00:19:45,200 Speaker 1: on commercial satellite imagery. They continue to move these forces 340 00:19:45,240 --> 00:19:48,240 Speaker 1: closer to the border, uncoiling. As Secretary Austin put it 341 00:19:48,240 --> 00:19:50,879 Speaker 1: in Lithuania the other day. So we're seeing it across 342 00:19:50,920 --> 00:19:57,399 Speaker 1: a range of different different sources. I think we're I 343 00:19:57,480 --> 00:20:02,760 Speaker 1: think we're going in, or rather Prudent's going in. I 344 00:20:02,520 --> 00:20:04,199 Speaker 1: think I think this is sorry. I don't mean the 345 00:20:04,240 --> 00:20:06,640 Speaker 1: US is going on, but I think Prutent's. I think 346 00:20:06,640 --> 00:20:11,320 Speaker 1: Putin's gonna invade. I don't know. I don't know if 347 00:20:11,359 --> 00:20:13,640 Speaker 1: that's going to be a blitzkrieg or what I said 348 00:20:13,680 --> 00:20:18,040 Speaker 1: on Fox earlier is a a I called it a 349 00:20:18,320 --> 00:20:20,720 Speaker 1: dynamic incursion, which is kind of a fancy way of saying, 350 00:20:20,840 --> 00:20:23,879 Speaker 1: or pseudo fancy way of saying. They're going to go 351 00:20:23,920 --> 00:20:25,560 Speaker 1: in a little bit and then escalate and then turn 352 00:20:25,600 --> 00:20:28,040 Speaker 1: it down, then turn it up, and then just keep 353 00:20:28,080 --> 00:20:31,000 Speaker 1: on squeezing and taking and squeezing and taking until they 354 00:20:31,040 --> 00:20:35,280 Speaker 1: have full control of some more separatist territories. That's one option. 355 00:20:35,320 --> 00:20:37,639 Speaker 1: The other options they just go in. That's the blitzkreeg one. 356 00:20:37,680 --> 00:20:39,080 Speaker 1: They just go in with everything they've got and try 357 00:20:39,119 --> 00:20:41,000 Speaker 1: to try and knock out punch as quickly as they 358 00:20:41,000 --> 00:20:44,040 Speaker 1: can against the Ukrainian armed forces and government. I think 359 00:20:44,040 --> 00:20:46,440 Speaker 1: that's what we're heading toward. I don't know which one 360 00:20:46,480 --> 00:20:48,920 Speaker 1: it will be. Certainly feels more like the Blitzkreeg option 361 00:20:48,960 --> 00:20:53,080 Speaker 1: at this moment in time given the troop escalation on 362 00:20:53,119 --> 00:20:56,080 Speaker 1: the border, but we will continue continue to follow this 363 00:20:56,119 --> 00:21:00,760 Speaker 1: one very closely. Team from West Palm Beach. Great to 364 00:21:00,800 --> 00:21:03,080 Speaker 1: have you with me. I'll be back tomorrow. Member. Tomorrow's 365 00:21:03,119 --> 00:21:05,800 Speaker 1: the radio show from Mara Laga with former President Donald Trump. 366 00:21:05,840 --> 00:21:07,440 Speaker 1: That'll be a lot of fun. Make sure you tune 367 00:21:07,440 --> 00:21:08,920 Speaker 1: into that Shield's High