1 00:00:00,400 --> 00:00:04,240 Speaker 1: Team buck Welcome to the Freedom Hunt. Friday, January twenty, 2 00:00:04,280 --> 00:00:09,480 Speaker 1: first edition of the program. Last day of quarantine for 3 00:00:09,520 --> 00:00:12,440 Speaker 1: the Buckster. Yay, I'm gonna be able to go out 4 00:00:12,440 --> 00:00:17,079 Speaker 1: and actually see people whoa party time, although not really 5 00:00:17,079 --> 00:00:18,680 Speaker 1: because I think people are still like, do you have 6 00:00:18,720 --> 00:00:22,480 Speaker 1: a sniffle? Sir? Are you sure you're good? Sir? Are 7 00:00:22,480 --> 00:00:25,960 Speaker 1: you double masking? I'll figure it all out. I mean, 8 00:00:26,000 --> 00:00:29,319 Speaker 1: I'm definitely not double masking. Probably won't see anybody for 9 00:00:29,360 --> 00:00:31,600 Speaker 1: a couple more days, just just to be sure, you know, 10 00:00:31,720 --> 00:00:34,040 Speaker 1: got a knoop the buck from orbit, just to be sure. 11 00:00:34,720 --> 00:00:39,800 Speaker 1: But thankfully I've developed my natural omicron immunity now, so 12 00:00:40,080 --> 00:00:43,720 Speaker 1: I got that going for me, which is nice. Some 13 00:00:43,880 --> 00:00:46,800 Speaker 1: news items will discuss here in a moment. Natural immunity 14 00:00:46,880 --> 00:00:49,920 Speaker 1: was more potent than vaccines during the Delta Wave, according 15 00:00:49,920 --> 00:00:53,840 Speaker 1: to a study out of Israel, no surprise. Meanwhile, here 16 00:00:53,880 --> 00:00:56,200 Speaker 1: in New York, at Canadian restaurant was ordered to close 17 00:00:56,360 --> 00:01:00,920 Speaker 1: after accepting dog photos instead of vaccine proof. Man, I 18 00:01:00,960 --> 00:01:05,080 Speaker 1: wish I could send them some checks in the mail 19 00:01:05,160 --> 00:01:06,720 Speaker 1: or something help them out a little bit here. I 20 00:01:06,760 --> 00:01:09,800 Speaker 1: don't know. I think that's fantastic because these vaccine passports 21 00:01:09,800 --> 00:01:16,080 Speaker 1: are moronic, they don't do anything. And then the NYPD, meanwhile, 22 00:01:16,920 --> 00:01:20,000 Speaker 1: I'm very upset about this, arrested a kid, a child 23 00:01:20,280 --> 00:01:22,840 Speaker 1: like an eight year old at the Museum of Natural 24 00:01:22,880 --> 00:01:28,400 Speaker 1: History for not having for entering without vaccine proof. And 25 00:01:28,480 --> 00:01:31,040 Speaker 1: they did this while they just had removed the Teddy 26 00:01:31,120 --> 00:01:35,280 Speaker 1: Roosevelt statue. Plus the Green Eminem's gets rid of some 27 00:01:35,319 --> 00:01:39,240 Speaker 1: stuff to make it more progressive. I'm sorry all Eminem's 28 00:01:39,319 --> 00:01:42,560 Speaker 1: rather are changed a little bit to update them, and 29 00:01:42,640 --> 00:01:46,400 Speaker 1: Green Eminem's in particular. We'll discuss have some fun with that. 30 00:01:47,200 --> 00:01:49,240 Speaker 1: And first I also want to say March for Life 31 00:01:49,240 --> 00:01:53,200 Speaker 1: in DC going on today. Please support them, Facebook message, 32 00:01:53,240 --> 00:01:56,280 Speaker 1: tweet at them, donate to the organization. March for Life 33 00:01:56,440 --> 00:01:59,200 Speaker 1: is so important and the media will not talk about it. 34 00:01:59,280 --> 00:02:02,440 Speaker 1: So please everybody if you can give your support to 35 00:02:03,080 --> 00:02:06,640 Speaker 1: the March for Life today, and if you're out there, 36 00:02:06,760 --> 00:02:08,440 Speaker 1: I just want to say thank you for doing what 37 00:02:08,480 --> 00:02:10,120 Speaker 1: I wish all of us could be doing, which is 38 00:02:10,160 --> 00:02:16,959 Speaker 1: marching in support of life on this Friday, January twenty first. 39 00:02:17,040 --> 00:02:20,360 Speaker 1: So we will get to all of that in a moment. First, 40 00:02:20,360 --> 00:02:23,800 Speaker 1: I gotta tell you finding a job can be crazy 41 00:02:23,840 --> 00:02:26,720 Speaker 1: these days. There are now tens of thousands of fake 42 00:02:26,840 --> 00:02:30,119 Speaker 1: job listings out there online. Here's the scam, here's the game. 43 00:02:30,560 --> 00:02:32,960 Speaker 1: They get you to share your driver's license info, your 44 00:02:33,000 --> 00:02:37,040 Speaker 1: social security numbers, and the whole point is for the 45 00:02:37,080 --> 00:02:39,880 Speaker 1: cyber hackers to then take your information. You're not getting 46 00:02:39,880 --> 00:02:42,680 Speaker 1: a job, but they're getting your info and use it 47 00:02:42,760 --> 00:02:45,000 Speaker 1: to open up credit cards in your name, take out 48 00:02:45,040 --> 00:02:47,000 Speaker 1: loans in your name, steal your identity. I mean, this 49 00:02:47,040 --> 00:02:49,480 Speaker 1: is really bad. It's really important that you understand how 50 00:02:49,560 --> 00:02:53,679 Speaker 1: cybercrime and identity theft affect our everyday lives. That's why 51 00:02:53,680 --> 00:02:56,679 Speaker 1: you need LifeLock. LifeLock helps detect a wide range of 52 00:02:56,720 --> 00:02:59,120 Speaker 1: identity threats, like your social security number for sale on 53 00:02:59,160 --> 00:03:02,160 Speaker 1: the dark web. If they detect your information has potentially 54 00:03:02,160 --> 00:03:05,760 Speaker 1: been compromised, they'll send you an alert. That alert comes 55 00:03:05,840 --> 00:03:09,320 Speaker 1: via text, email, and or phone call you choose. No 56 00:03:09,400 --> 00:03:12,000 Speaker 1: one can prevent all identity theft or monitor all transactions 57 00:03:12,000 --> 00:03:14,640 Speaker 1: at all businesses, but you can help protect what's yours 58 00:03:14,639 --> 00:03:18,040 Speaker 1: with LifeLock by Norton. Join now and save twenty five 59 00:03:18,040 --> 00:03:21,080 Speaker 1: percent off your first year by using promo code buck 60 00:03:21,600 --> 00:03:25,000 Speaker 1: call one eight hundred LifeLock or headlifelock dot com and 61 00:03:25,120 --> 00:03:27,880 Speaker 1: use that promo code buck for twenty five percent off. Again, 62 00:03:28,200 --> 00:03:30,760 Speaker 1: that's LifeLock dot com. Use promo code buck for twenty 63 00:03:30,760 --> 00:03:34,720 Speaker 1: five percent off. So what's going on in the COVID fight, 64 00:03:34,840 --> 00:03:36,880 Speaker 1: my friends? Well, let's talk about this for a second. 65 00:03:37,160 --> 00:03:39,960 Speaker 1: We are now in late January, so I think we've 66 00:03:40,000 --> 00:03:44,480 Speaker 1: seen the worst of the omicron surge. And we sit 67 00:03:44,560 --> 00:03:47,400 Speaker 1: here and say, well, hold on a second, how successful 68 00:03:48,160 --> 00:03:51,000 Speaker 1: we're all these programs that they put in place, these mandates, 69 00:03:51,040 --> 00:03:58,320 Speaker 1: these policies, and obviously they were catastrophic failures. Catastrophic failures, 70 00:03:59,280 --> 00:04:03,840 Speaker 1: and you have to wonder what exactly is going on. 71 00:04:03,960 --> 00:04:08,760 Speaker 1: The UK has gotten rid of its mask and vaccine mandates, 72 00:04:08,760 --> 00:04:13,200 Speaker 1: the Biden regimes doubling down the lot. The looniest libs 73 00:04:13,200 --> 00:04:15,600 Speaker 1: when it comes to COVID in the Western world really 74 00:04:15,640 --> 00:04:18,200 Speaker 1: are here in America. You got to remember that our 75 00:04:18,279 --> 00:04:22,880 Speaker 1: far left is completely insane on this stuff. And this 76 00:04:22,920 --> 00:04:25,320 Speaker 1: is how you have people like the teacher that was 77 00:04:25,360 --> 00:04:29,440 Speaker 1: recently seen taping a mask to a student's face. Can 78 00:04:29,480 --> 00:04:33,159 Speaker 1: you imagine being that crazy that much of a psycho? 79 00:04:34,920 --> 00:04:37,440 Speaker 1: What they're doing doesn't work. And here's something that I 80 00:04:37,480 --> 00:04:39,960 Speaker 1: wanted to point out to all of you, because I 81 00:04:40,120 --> 00:04:44,800 Speaker 1: got it from my buddy Alex Barrenson yesterday. He put 82 00:04:44,839 --> 00:04:47,920 Speaker 1: this out in his sub stack, just just so we're 83 00:04:47,920 --> 00:04:51,760 Speaker 1: all very clear about exactly what is going on here. 84 00:04:52,279 --> 00:04:56,120 Speaker 1: Real COVID hospitalization data from San Francisco General Hospital. This 85 00:04:56,160 --> 00:05:00,919 Speaker 1: is from Alex Berenson sub stack. All right, Seventy two 86 00:05:00,920 --> 00:05:06,200 Speaker 1: percent at San Francisco General Hospital. Seventy two percent of 87 00:05:06,240 --> 00:05:12,320 Speaker 1: COVID patients in the hospital for COVID are vaccinated. Twenty 88 00:05:12,360 --> 00:05:16,960 Speaker 1: six percent of those in the hospital for COVID are boosted. 89 00:05:18,720 --> 00:05:21,120 Speaker 1: Now this is only one I've got the actual total 90 00:05:21,160 --> 00:05:26,320 Speaker 1: number of COVID positive patients unvaccinated nineteen primary vaccine series 91 00:05:26,360 --> 00:05:30,359 Speaker 1: two doses, thirty two boosted, eighteen COVID positive, but not 92 00:05:30,400 --> 00:05:34,880 Speaker 1: a minute for COVID twenty three ICU ten pediatric zero 93 00:05:34,960 --> 00:05:37,159 Speaker 1: by the way, zero. Oh, the children, they're at so 94 00:05:37,240 --> 00:05:41,640 Speaker 1: much risk. No, they're not. That's a lie. But this 95 00:05:41,839 --> 00:05:44,679 Speaker 1: is the final nail in the coffin of the narrative. 96 00:05:44,720 --> 00:05:48,839 Speaker 1: If this data extrapolates out to be true in a 97 00:05:48,880 --> 00:05:52,120 Speaker 1: broader sense, what have they been telling us all along? Well, 98 00:05:52,160 --> 00:05:54,400 Speaker 1: it saves you, it'll save your life, it'll stop you 99 00:05:54,480 --> 00:05:56,440 Speaker 1: from going to the hospital, they show all this data 100 00:05:56,520 --> 00:06:00,880 Speaker 1: that that suggests, oh, well, you know, it's ninety nine 101 00:06:00,960 --> 00:06:03,040 Speaker 1: percent of the people who are in the hospital and 102 00:06:03,120 --> 00:06:06,320 Speaker 1: die from COVID are unvaccinated. It's the pandemic of the unvaccinated. 103 00:06:06,320 --> 00:06:09,120 Speaker 1: That's what they say. But that's not where we saw 104 00:06:09,200 --> 00:06:12,920 Speaker 1: in the data in the UK at Israel, in fact, 105 00:06:12,920 --> 00:06:15,800 Speaker 1: at one point, solid majorities of those who are who 106 00:06:15,839 --> 00:06:20,680 Speaker 1: are hospitalized and dying, we're doing so after vaccination. So 107 00:06:20,720 --> 00:06:24,760 Speaker 1: they were vaccinated. So what's going on here? Notice they 108 00:06:24,760 --> 00:06:27,040 Speaker 1: don't use the term breakthrough case anymore, as I've told you, 109 00:06:27,080 --> 00:06:29,800 Speaker 1: they don't even pretend there's no discussion of breakthrough because 110 00:06:29,839 --> 00:06:32,520 Speaker 1: we're all a breakthrough case. Now. It's everywhere all right, 111 00:06:32,800 --> 00:06:35,520 Speaker 1: vaccinated and unvaccinated. So that damn broke. They can't put 112 00:06:35,560 --> 00:06:38,120 Speaker 1: that one back together. Humpty dumpty's not going back together 113 00:06:38,120 --> 00:06:41,679 Speaker 1: for Faucci on that one. But this is the final 114 00:06:42,440 --> 00:06:44,320 Speaker 1: the final piece of the narrative is that, oh, but 115 00:06:44,360 --> 00:06:46,680 Speaker 1: it protects you so well from hospitalization or death. And 116 00:06:46,720 --> 00:06:49,479 Speaker 1: I keep saying, we're having eighteen hundred people a day 117 00:06:49,680 --> 00:06:51,680 Speaker 1: die from COVID right now in this country. That's what 118 00:06:51,680 --> 00:06:55,719 Speaker 1: they're telling us. What percentage of that eighteen hundred people 119 00:06:56,760 --> 00:07:00,280 Speaker 1: are entirely unvaccinated, and I don't want to have them 120 00:07:00,279 --> 00:07:02,680 Speaker 1: playing any games with Oh they're not boosted, so they're unvaccinated. 121 00:07:02,760 --> 00:07:06,039 Speaker 1: No, no no, no, no shots. What's the percentage? Why don't 122 00:07:06,040 --> 00:07:09,600 Speaker 1: we know that? Why isn't that right below the death number? 123 00:07:09,680 --> 00:07:11,400 Speaker 1: Wouldn't they want us to know that if it was 124 00:07:11,440 --> 00:07:14,040 Speaker 1: so clear, if it's ninety nine percent of those dying 125 00:07:14,080 --> 00:07:18,840 Speaker 1: are unvaccinated, shouldn't they, as a public health service tell 126 00:07:18,920 --> 00:07:21,440 Speaker 1: us that every day, show us that. I mean, they're 127 00:07:21,520 --> 00:07:23,040 Speaker 1: kind of saying it, but they need to show us 128 00:07:23,080 --> 00:07:27,840 Speaker 1: the numbers. Right, there's something wrong here, friends. I don't 129 00:07:27,840 --> 00:07:31,000 Speaker 1: know what the eventual numbers will be, will be all right, 130 00:07:31,200 --> 00:07:33,720 Speaker 1: But I am sharing with you from Alex Berenson, who 131 00:07:34,160 --> 00:07:37,880 Speaker 1: on the data on numbers and data. I trust Alex 132 00:07:37,920 --> 00:07:41,360 Speaker 1: because he's proven to be reliable over almost two years now. 133 00:07:42,040 --> 00:07:44,480 Speaker 1: He doesn't do fake numbers, he doesn't do playing games 134 00:07:44,480 --> 00:07:46,480 Speaker 1: with it. And this is why I've had him on 135 00:07:46,560 --> 00:07:48,120 Speaker 1: radio so many times. Is why I've had him on 136 00:07:48,120 --> 00:07:51,600 Speaker 1: my shows and shows, including with Clay obviously as on 137 00:07:51,640 --> 00:07:56,960 Speaker 1: the New Show, so many times. Because the numbers proved 138 00:07:57,000 --> 00:08:00,400 Speaker 1: to be correct. So do we think that Sandford Cisco 139 00:08:00,440 --> 00:08:03,640 Speaker 1: General Hospital here is an outlier, because this is a 140 00:08:03,680 --> 00:08:09,200 Speaker 1: big deal if, in fact, the vaccine doesn't even effectively 141 00:08:09,280 --> 00:08:13,360 Speaker 1: protect from hospitalization and death. And I'm not throwing the 142 00:08:13,360 --> 00:08:14,960 Speaker 1: booster in there yet. I want to. I want to 143 00:08:15,000 --> 00:08:16,800 Speaker 1: know where we are in the vaccine in the first series. 144 00:08:17,640 --> 00:08:22,800 Speaker 1: That means that they failed across the board. This would 145 00:08:22,800 --> 00:08:25,800 Speaker 1: be the most massive and catastrophic health policy failure of 146 00:08:25,840 --> 00:08:29,960 Speaker 1: our lifetimes, and it would show you just how authoritarian 147 00:08:30,560 --> 00:08:34,920 Speaker 1: and outrageous these mandates were. They were forcing shots in 148 00:08:34,960 --> 00:08:38,679 Speaker 1: people's arms, they were firing people from their careers for 149 00:08:38,720 --> 00:08:43,360 Speaker 1: no good reason. Now I don't have the full data 150 00:08:43,440 --> 00:08:48,000 Speaker 1: scale yet, I don't have everything. I think they're hiding 151 00:08:48,040 --> 00:08:50,080 Speaker 1: it from us, or at least they're they're not in 152 00:08:50,120 --> 00:08:52,960 Speaker 1: a rush. I'll be more fair about how I say this. 153 00:08:53,200 --> 00:08:56,000 Speaker 1: They're not in a rush to get us that information. 154 00:08:56,360 --> 00:09:01,560 Speaker 1: I think that's clear. But why is that seventy two 155 00:09:01,559 --> 00:09:06,439 Speaker 1: percent of COVID patients at San Francisco General Hospital are vaccinated? 156 00:09:06,760 --> 00:09:09,920 Speaker 1: Think about this, friends, how could it be possible if 157 00:09:09,960 --> 00:09:15,360 Speaker 1: we have essentially the entire senior population of America? I mean, statistically, 158 00:09:15,360 --> 00:09:17,319 Speaker 1: I think we're in the in the mid to high nineties. 159 00:09:17,360 --> 00:09:20,760 Speaker 1: Now if they're all vaccinated, but we have eighteen hundred 160 00:09:20,760 --> 00:09:25,080 Speaker 1: people a day dying from COVID, who's dying from COVID? 161 00:09:26,520 --> 00:09:30,800 Speaker 1: There aren't enough unvaccinated seniors statistically in the places that 162 00:09:30,880 --> 00:09:33,440 Speaker 1: we're talking about it. It would seem to me to 163 00:09:33,559 --> 00:09:35,880 Speaker 1: even make up this number that they're telling us. So 164 00:09:35,960 --> 00:09:41,080 Speaker 1: what's going on here? Something doesn't add up? All right? 165 00:09:41,080 --> 00:09:43,120 Speaker 1: And I know that there's oh, you can't, you can't 166 00:09:43,120 --> 00:09:46,199 Speaker 1: say these things, you can't ask these questions. Really, what 167 00:09:46,559 --> 00:09:48,640 Speaker 1: happened when we were starting to say, wait a minute, 168 00:09:48,640 --> 00:09:51,120 Speaker 1: I'm not sure this protects from infection and spread, so well, 169 00:09:51,160 --> 00:09:57,240 Speaker 1: oh that's disinformation, it's disinformation, cowards. They were wrong. It 170 00:09:57,280 --> 00:10:00,360 Speaker 1: didn't stop spread. It didn't stop infection. We all know that. 171 00:10:00,440 --> 00:10:05,080 Speaker 1: Now does it even effectively? Does the first round of 172 00:10:05,120 --> 00:10:09,679 Speaker 1: shots effectively stop hospitalization and death at the levels they 173 00:10:09,720 --> 00:10:12,120 Speaker 1: promised us and have been saying up until today, even 174 00:10:13,400 --> 00:10:16,240 Speaker 1: that is the last outstanding question here when it comes 175 00:10:16,280 --> 00:10:19,880 Speaker 1: to this whole program. And I I gotta tell you, 176 00:10:19,920 --> 00:10:22,920 Speaker 1: I'm very skeptical that we're going to find out that, 177 00:10:23,280 --> 00:10:25,160 Speaker 1: or very skeptical rather the numbers they're giving us. And 178 00:10:25,240 --> 00:10:28,559 Speaker 1: I think we're going to find out they dramatically overstated 179 00:10:29,040 --> 00:10:37,720 Speaker 1: the protection from infection and death from COVID. Dramatically overstated it. 180 00:10:38,320 --> 00:10:40,680 Speaker 1: That's what I think we shall see. I don't know. 181 00:10:40,960 --> 00:10:45,680 Speaker 1: I'm making a prediction. So you know, if some news 182 00:10:45,679 --> 00:10:48,559 Speaker 1: outlet ones to do well fat check for misinformation, I'm 183 00:10:48,559 --> 00:10:50,960 Speaker 1: admitting I don't know. I'm not fauci. I don't pretend 184 00:10:51,000 --> 00:10:52,480 Speaker 1: to know things I don't and then when I'm wrong, 185 00:10:52,520 --> 00:10:55,120 Speaker 1: I pretend I was right. But I think this is 186 00:10:55,160 --> 00:10:57,679 Speaker 1: the final nail in the coffin of the narrative that 187 00:10:57,720 --> 00:11:00,360 Speaker 1: will come in a matter of weeks. People are going 188 00:11:00,400 --> 00:11:03,080 Speaker 1: to start to say, wait a second, twenty percent across 189 00:11:03,120 --> 00:11:05,920 Speaker 1: the country, thirty percent across the country of people in 190 00:11:05,920 --> 00:11:08,520 Speaker 1: the hospital are vaccinated with you know, the ones that 191 00:11:08,520 --> 00:11:12,360 Speaker 1: are in the hospital for COVID. How is that? You 192 00:11:12,400 --> 00:11:16,520 Speaker 1: know what we were promised we'll see, We'll see it. 193 00:11:16,520 --> 00:11:18,000 Speaker 1: But as I already mentioned you at the start of 194 00:11:18,000 --> 00:11:22,120 Speaker 1: the program, to they the biggest study out of Israel 195 00:11:22,120 --> 00:11:26,480 Speaker 1: shows that against DELTA, natural immunity was more potent than vaccines. 196 00:11:27,200 --> 00:11:31,080 Speaker 1: Natural immunity is better. So people like me who already 197 00:11:31,120 --> 00:11:34,160 Speaker 1: had COVID, we're being forced to get shots that we 198 00:11:34,200 --> 00:11:36,400 Speaker 1: didn't need, and if we refused to get the shot, 199 00:11:36,400 --> 00:11:39,480 Speaker 1: we're treated like we're a danger to society when we're 200 00:11:39,480 --> 00:11:41,560 Speaker 1: actually less of a danger than somebody who hadn't had 201 00:11:41,600 --> 00:11:46,559 Speaker 1: COVID and got the shot by the science. This is 202 00:11:46,600 --> 00:11:49,880 Speaker 1: why when the NYPD is arresting a kid at the 203 00:11:49,960 --> 00:11:52,360 Speaker 1: Museum in Natural History, as well as adults who were there, 204 00:11:53,280 --> 00:11:56,240 Speaker 1: I would just non comply. I would let them off 205 00:11:56,280 --> 00:11:59,920 Speaker 1: with a warning. I'd say, you know, I'm not taking 206 00:12:00,040 --> 00:12:03,440 Speaker 1: you in. Today law enforcement has a lot of discretion, 207 00:12:04,200 --> 00:12:06,240 Speaker 1: a lot of discretions. Say, oh, buck, there's a supervisor 208 00:12:06,280 --> 00:12:09,080 Speaker 1: on the scene. The supervisor should not comply. There's no 209 00:12:09,160 --> 00:12:11,800 Speaker 1: public health threat. Give me a break. People need to 210 00:12:11,840 --> 00:12:15,680 Speaker 1: stop being psychotic cowards on this issue. The masks have 211 00:12:15,760 --> 00:12:17,880 Speaker 1: got to come off, the masks of the foundation upon 212 00:12:17,960 --> 00:12:20,440 Speaker 1: which all the fauciite madness was built. You know, I 213 00:12:20,480 --> 00:12:24,800 Speaker 1: believe that it's it's the bending of the knee, and 214 00:12:24,840 --> 00:12:27,040 Speaker 1: then they put everything else on your back while your 215 00:12:27,040 --> 00:12:30,360 Speaker 1: head is bowed. That's the way this goes. That's why 216 00:12:30,400 --> 00:12:33,079 Speaker 1: I hated it from the very beginning. I hated the mask. 217 00:12:33,160 --> 00:12:36,880 Speaker 1: I knew what it was. It was a symbol of 218 00:12:36,960 --> 00:12:42,160 Speaker 1: submission to fauciism, and it does nothing. It does nothing. 219 00:12:42,760 --> 00:12:47,560 Speaker 1: This is ridiculous. Who thinks otherwise, Now, oh, it's so effective. 220 00:12:48,000 --> 00:12:50,360 Speaker 1: All you do is look at places they institute a 221 00:12:50,400 --> 00:12:53,520 Speaker 1: mask mandate. When the cases start to rise, boom, cases explode. 222 00:12:53,760 --> 00:12:56,880 Speaker 1: It would be so much worse. Really, Then you show 223 00:12:56,920 --> 00:12:58,440 Speaker 1: them a place where they didn't have a mask mandate 224 00:12:58,520 --> 00:13:01,760 Speaker 1: and the caseload absolutely mirrors what they have in the 225 00:13:01,760 --> 00:13:05,160 Speaker 1: mask mandate county or state, and they go it would 226 00:13:05,160 --> 00:13:11,400 Speaker 1: be so much worse. Just not true. Some of the 227 00:13:11,480 --> 00:13:13,560 Speaker 1: Museum Natural History, there are these arrests that occur there. 228 00:13:13,559 --> 00:13:17,360 Speaker 1: But then there's also the Teddy Roosevelt statue, so the 229 00:13:17,440 --> 00:13:21,520 Speaker 1: arrest for not having a vaccine vaccine papers, which is disgusting. 230 00:13:21,559 --> 00:13:23,839 Speaker 1: I mean, let's take a step back, your folks. If 231 00:13:23,840 --> 00:13:26,360 Speaker 1: I told you in twenty nineteen that police would be 232 00:13:26,440 --> 00:13:29,440 Speaker 1: arresting kids because they don't have a shot for a 233 00:13:29,520 --> 00:13:34,079 Speaker 1: virus that they are at almost no risk of contracting 234 00:13:34,160 --> 00:13:37,760 Speaker 1: and getting a serious outcome from, and that they're very 235 00:13:37,840 --> 00:13:39,840 Speaker 1: unlikely to spread doing it in any way, and a 236 00:13:39,880 --> 00:13:42,080 Speaker 1: shot that doesn't stop them from getting it and spreading it, 237 00:13:42,920 --> 00:13:45,080 Speaker 1: you'd say, well, the world has gone mad. I'd say, correct, 238 00:13:45,800 --> 00:13:49,520 Speaker 1: the world has gone mad. That's why we have to 239 00:13:49,559 --> 00:13:53,080 Speaker 1: go on offense this year. It's not enough to allow 240 00:13:53,160 --> 00:13:57,240 Speaker 1: them to pull back the restrictions. We have to rub 241 00:13:57,360 --> 00:14:00,320 Speaker 1: their noses. We have to take their faces in of it, 242 00:14:00,400 --> 00:14:04,199 Speaker 1: into the statistics and say you were wrong, you were wrong, 243 00:14:04,520 --> 00:14:08,480 Speaker 1: you are tyrants, because otherwise it just will recede for 244 00:14:08,520 --> 00:14:11,000 Speaker 1: a while. Oh, we'll go into the mid terms, they'll 245 00:14:11,000 --> 00:14:14,760 Speaker 1: say we beat the virus, and then if Republicans don't 246 00:14:14,760 --> 00:14:19,400 Speaker 1: get these sweeping majorities that we should get in the Congress, 247 00:14:19,680 --> 00:14:22,400 Speaker 1: which will effectively make Joe Biden a lame duck president 248 00:14:22,400 --> 00:14:26,480 Speaker 1: before he's even halfway through, then they'll start to say, 249 00:14:26,480 --> 00:14:29,440 Speaker 1: in the wintertime, oh, sorry, gott to bring back these 250 00:14:29,520 --> 00:14:32,960 Speaker 1: vaccine mandates. Gott to bring back the masks everywhere. And 251 00:14:33,000 --> 00:14:37,040 Speaker 1: they're never gonna let masks go on planes because that's there, 252 00:14:38,200 --> 00:14:40,160 Speaker 1: you know, that's their fallback. They got to keep the 253 00:14:40,200 --> 00:14:42,000 Speaker 1: masks on planes, because then they'll say, why we have 254 00:14:42,080 --> 00:14:44,840 Speaker 1: them on planes? Shouldn't we expand that, shouldn't we expand 255 00:14:44,880 --> 00:14:48,960 Speaker 1: that that's the toe hold of tyranny. We got to 256 00:14:49,000 --> 00:14:52,480 Speaker 1: go on offense. They were wrong, we were right. That's 257 00:14:52,480 --> 00:14:54,240 Speaker 1: what you have to remember during all this they were 258 00:14:54,280 --> 00:14:58,920 Speaker 1: wrong about everything. Fauci is an evil little turred wrong 259 00:14:59,160 --> 00:15:04,760 Speaker 1: about every thing, and now it's time for some payback. Friends. 260 00:15:05,080 --> 00:15:09,320 Speaker 1: They deserve humiliation, they deserve the repudiation of their policies. 261 00:15:10,040 --> 00:15:12,160 Speaker 1: They deserve to think about how they're not as smart 262 00:15:12,200 --> 00:15:14,800 Speaker 1: as they thought, and they should never be in power again. 263 00:15:15,800 --> 00:15:17,680 Speaker 1: And they're not going to just come to those conclusions. 264 00:15:17,680 --> 00:15:20,920 Speaker 1: We're going to have to force those conclusions. So that's 265 00:15:20,960 --> 00:15:25,160 Speaker 1: what I mean. By twenty twenty two, we go on offense, 266 00:15:26,840 --> 00:15:28,600 Speaker 1: take a pause for a moment. On that, we'll come back. 267 00:15:28,600 --> 00:15:34,880 Speaker 1: I'll tell you about the situation here of wokeness and 268 00:15:34,920 --> 00:15:37,680 Speaker 1: also the March for Life in DC, the situation of 269 00:15:37,720 --> 00:15:40,400 Speaker 1: wokeness at Mars Candy Bars. Come to that. In a 270 00:15:40,440 --> 00:15:42,880 Speaker 1: moment on nine to eleven, our nation changed forever with 271 00:15:42,880 --> 00:15:44,640 Speaker 1: one of the most vicious attacks on our freedoms and 272 00:15:44,680 --> 00:15:47,560 Speaker 1: attacks on our democracy. The Tunnel to Towers Foundation has 273 00:15:47,600 --> 00:15:51,000 Speaker 1: been supporting America's heroes and their families ever since. When 274 00:15:51,000 --> 00:15:53,760 Speaker 1: a first responder or a military service member doesn't come 275 00:15:53,800 --> 00:15:56,240 Speaker 1: home and young children are left behind, the Tunnel to 276 00:15:56,240 --> 00:15:59,040 Speaker 1: Towers Foundation pays off their mortgage to lift the financial 277 00:15:59,080 --> 00:16:02,640 Speaker 1: burden and bring their family stability. For severely injured veterans 278 00:16:02,640 --> 00:16:05,760 Speaker 1: and first responders, Tunlet to Towers builds mortgage free smart homes, 279 00:16:06,080 --> 00:16:10,200 Speaker 1: enabling our most severely injured heroes to live more independent lives. 280 00:16:10,600 --> 00:16:13,800 Speaker 1: And now through Operation Home Base, Tunnel to Towers is 281 00:16:13,880 --> 00:16:17,840 Speaker 1: gifting tiny homes to homeless veterans. Our nation's heroes, people 282 00:16:17,840 --> 00:16:19,600 Speaker 1: who put their lives on the line for our country 283 00:16:19,600 --> 00:16:22,520 Speaker 1: and our communities, need your help. Help these heroes and 284 00:16:22,560 --> 00:16:25,240 Speaker 1: their families join Tunlet to Towers on its mission to 285 00:16:25,320 --> 00:16:28,080 Speaker 1: do good in their honor. Donate eleven dollars a month 286 00:16:28,120 --> 00:16:30,840 Speaker 1: that t twot dot org. That's t the number two 287 00:16:31,000 --> 00:16:35,800 Speaker 1: t dot org Tunnel to Towers Foundation, and it is 288 00:16:35,880 --> 00:16:39,480 Speaker 1: such an important organization. Please please do help them do 289 00:16:39,560 --> 00:16:42,960 Speaker 1: what you can. Oh something I forgot to get to friends, 290 00:16:43,480 --> 00:16:44,960 Speaker 1: and then in the news runned out the top. Here 291 00:16:44,960 --> 00:16:47,760 Speaker 1: I want to say, Trump is saying the conflict with 292 00:16:48,320 --> 00:16:51,320 Speaker 1: DeSantis is total crap, which I thought was the case 293 00:16:51,360 --> 00:16:54,000 Speaker 1: all along. This is what the Libs want. They want 294 00:16:54,000 --> 00:16:56,760 Speaker 1: to create a civil war. In the GOP play clip one, 295 00:16:57,560 --> 00:17:00,000 Speaker 1: I get along Greg with Ron run was very good 296 00:17:00,160 --> 00:17:03,480 Speaker 1: on the Muller hoax. He was right up front, along 297 00:17:03,480 --> 00:17:05,159 Speaker 1: with Jim Jordan and all of the rest of them. 298 00:17:05,160 --> 00:17:09,239 Speaker 1: They were fantastic. The Republicans really stuck together and it 299 00:17:09,320 --> 00:17:11,080 Speaker 1: was a great thing. And Ron was one of them. 300 00:17:11,119 --> 00:17:13,679 Speaker 1: And Ron wanted to run and I endorsed him and 301 00:17:13,720 --> 00:17:16,760 Speaker 1: that helped him greatly, and he went on and he's 302 00:17:16,800 --> 00:17:20,960 Speaker 1: done a really terrific job in Florida. And I think, 303 00:17:21,040 --> 00:17:23,320 Speaker 1: you know, Ron has been very good. He's been a 304 00:17:23,359 --> 00:17:25,920 Speaker 1: friend of mine for a long time. It's totally fake news, 305 00:17:26,040 --> 00:17:28,640 Speaker 1: I think Ron said last week. He said it very publicly. 306 00:17:28,640 --> 00:17:31,439 Speaker 1: He says, the press is never going to get in 307 00:17:31,480 --> 00:17:34,239 Speaker 1: the middle of my friendship with Donald Trump. We're not 308 00:17:34,320 --> 00:17:36,680 Speaker 1: going to do that stuff. And he said it very strongly. 309 00:17:36,720 --> 00:17:40,480 Speaker 1: I thought it was very interesting actually, and very nice. 310 00:17:40,520 --> 00:17:43,280 Speaker 1: But he said that, and I agree with him about 311 00:17:43,280 --> 00:17:48,000 Speaker 1: one hundred percent. See, that's what I like to hear 312 00:17:48,760 --> 00:17:53,120 Speaker 1: Trump and de Santists respecting each other and knowing that 313 00:17:53,160 --> 00:17:56,960 Speaker 1: the two of them are potent forces for crushing commies. 314 00:17:57,520 --> 00:18:00,440 Speaker 1: End of story, end of story. I'm just I just 315 00:18:00,520 --> 00:18:03,240 Speaker 1: wanted to get that out there, all right, So I 316 00:18:03,320 --> 00:18:06,000 Speaker 1: was gonna tell you about Oh just I've mentioned this 317 00:18:06,040 --> 00:18:08,840 Speaker 1: top but just March for Life today in DC so important. 318 00:18:09,160 --> 00:18:13,320 Speaker 1: Media hates them. They're standing for unborn children and what 319 00:18:13,359 --> 00:18:15,840 Speaker 1: they do is so important, and I really I realized 320 00:18:15,880 --> 00:18:18,720 Speaker 1: should have had somebody on the big radio show today 321 00:18:18,720 --> 00:18:21,119 Speaker 1: about this. I'm just realizing that now. But usually I 322 00:18:21,200 --> 00:18:23,720 Speaker 1: have Lila rose On who would be down there, and 323 00:18:23,840 --> 00:18:26,359 Speaker 1: she's so great, but she's out with COVID right now, 324 00:18:26,359 --> 00:18:28,040 Speaker 1: so she's actually not at the march. I saw her 325 00:18:28,040 --> 00:18:31,359 Speaker 1: tweeting about that. But what they do is really important 326 00:18:31,480 --> 00:18:36,159 Speaker 1: and it's they are shining a light in the midst 327 00:18:36,160 --> 00:18:40,920 Speaker 1: of the darkness of planned parenthood and all the rest 328 00:18:40,960 --> 00:18:43,639 Speaker 1: of it in America today. So just so much respect 329 00:18:43,680 --> 00:18:45,200 Speaker 1: for them and so thankful that they do what they 330 00:18:45,240 --> 00:18:49,520 Speaker 1: do and as I said, helped the March for life. However, 331 00:18:49,560 --> 00:18:53,080 Speaker 1: you can now M and M's are getting woke, have 332 00:18:53,119 --> 00:18:54,720 Speaker 1: a little fun before we head out for the weekend. 333 00:18:54,800 --> 00:18:57,120 Speaker 1: M and M's are getting woker, more woke. I don't 334 00:18:57,119 --> 00:19:00,200 Speaker 1: know if that's a thing they're changing around. It's a 335 00:19:00,200 --> 00:19:01,879 Speaker 1: big don't People are making a bigger deal out of 336 00:19:01,920 --> 00:19:03,439 Speaker 1: this one that it is if they're updating it so 337 00:19:03,480 --> 00:19:05,480 Speaker 1: they have sneakers on. It's that a weird little looks 338 00:19:05,480 --> 00:19:08,120 Speaker 1: almost like pilgrim shoes they had on past the eminem's 339 00:19:08,480 --> 00:19:10,920 Speaker 1: you know, the eminem characters that they have in the advertisements, 340 00:19:11,920 --> 00:19:14,080 Speaker 1: but they are changing. There was one eminem who had 341 00:19:14,119 --> 00:19:16,320 Speaker 1: go go boots on, the green Eminem who is kind 342 00:19:16,320 --> 00:19:18,520 Speaker 1: of the sultry Eminem if you will, I guess, I 343 00:19:18,600 --> 00:19:22,639 Speaker 1: guess that's what I'm told. Now the go go boots 344 00:19:22,640 --> 00:19:26,359 Speaker 1: are gone. It's just shame, and they were placed with sneakers. 345 00:19:26,800 --> 00:19:29,439 Speaker 1: And then there's another Eminem. I think it's the brown 346 00:19:29,480 --> 00:19:34,520 Speaker 1: Eminem had like heels on, but the heels are a 347 00:19:34,520 --> 00:19:36,960 Speaker 1: little too high, you know, and so now they're they're 348 00:19:37,000 --> 00:19:40,040 Speaker 1: a little more, a little more functional looking, you know, 349 00:19:40,119 --> 00:19:41,760 Speaker 1: not the kind of heels you'd want to wear a date, 350 00:19:41,960 --> 00:19:44,000 Speaker 1: you know what I mean. So those are the changes 351 00:19:44,000 --> 00:19:46,040 Speaker 1: that they've made. But this is the level, the level 352 00:19:46,080 --> 00:19:50,960 Speaker 1: of granularity that wokeness gotta make everything more progressive, even 353 00:19:51,000 --> 00:19:54,359 Speaker 1: the minem cartoons. These days. It's a crazy world we 354 00:19:54,400 --> 00:19:56,960 Speaker 1: live in. Friends. And by the way, I want to 355 00:19:56,960 --> 00:19:58,680 Speaker 1: remind everybody in case you missed it, because we let 356 00:19:58,680 --> 00:20:03,200 Speaker 1: it out right before the Christmas holiday. Shields High episode 357 00:20:03,280 --> 00:20:05,600 Speaker 1: two for the Siege of Malta is out. So you 358 00:20:05,640 --> 00:20:10,159 Speaker 1: just type in Shields High Malta in podcasts and you 359 00:20:10,160 --> 00:20:12,560 Speaker 1: can listen to it. It's a good episode. And three 360 00:20:12,640 --> 00:20:14,159 Speaker 1: is going to come out too. I think a lot 361 00:20:14,200 --> 00:20:16,160 Speaker 1: of people who listen to one didn't know the two 362 00:20:16,200 --> 00:20:19,360 Speaker 1: came out. I can tell just by the numbers because 363 00:20:19,520 --> 00:20:22,119 Speaker 1: I feel like folks need to find out how it 364 00:20:22,119 --> 00:20:24,760 Speaker 1: all ends, right, So you can listen if you haven't before, 365 00:20:24,800 --> 00:20:28,400 Speaker 1: to Shield Time Malta one, Shield Time Malta two. Wherever 366 00:20:28,440 --> 00:20:30,680 Speaker 1: you listen to podcasts, I think Spotify is really easy. 367 00:20:30,760 --> 00:20:33,239 Speaker 1: Iheartapp is another really easy place to listen, or the 368 00:20:33,280 --> 00:20:37,040 Speaker 1: podcast store that Apple has, but they're up, so go 369 00:20:37,119 --> 00:20:38,400 Speaker 1: check them out. If you want to listen to something 370 00:20:38,440 --> 00:20:41,280 Speaker 1: non political this weekend and tell me what you think 371 00:20:41,800 --> 00:20:44,560 Speaker 1: and I will talk to you on Monday. Shields Hi