1 00:00:01,680 --> 00:00:08,479 Speaker 1: Amery Good Trapped Behind Enemy Lines, day number one eighty 2 00:00:08,960 --> 00:00:11,520 Speaker 1: right our two Sean Hannity's Show eight hundred and nine 3 00:00:11,600 --> 00:00:13,480 Speaker 1: for one Sean, you want to be a part of 4 00:00:13,480 --> 00:00:18,640 Speaker 1: the program. It is inexplicable, but very explainable, very understanding. 5 00:00:18,920 --> 00:00:23,760 Speaker 1: Why is it the Biden administration is suddenly now reversing 6 00:00:23,800 --> 00:00:28,320 Speaker 1: themselves and lifting COVID restrictions even in California if you're 7 00:00:28,320 --> 00:00:31,680 Speaker 1: fully vaccinated now New York, except if you're a kid 8 00:00:31,720 --> 00:00:34,000 Speaker 1: in school, you're stuck with a mask on, which makes 9 00:00:34,040 --> 00:00:37,839 Speaker 1: no sense whatsoever if you're following science. But why are 10 00:00:37,920 --> 00:00:42,720 Speaker 1: Democrats in this scramble to reverse course on COVID restrictions. 11 00:00:43,040 --> 00:00:45,600 Speaker 1: This is a mid term election year and they think 12 00:00:45,640 --> 00:00:48,440 Speaker 1: they're gonna get clobbered. So what it really means, if 13 00:00:48,440 --> 00:00:51,400 Speaker 1: you really want to interpret it, is that they'll say 14 00:00:51,440 --> 00:00:54,400 Speaker 1: whatever they need to say, do whatever they need to 15 00:00:54,440 --> 00:00:57,360 Speaker 1: do to hold on to power, and that's why they're 16 00:00:57,400 --> 00:01:00,560 Speaker 1: trying to reverse course. I saw a picture in today's 17 00:01:00,640 --> 00:01:03,160 Speaker 1: one of the New York tabloids. I forget which one today, 18 00:01:03,480 --> 00:01:07,360 Speaker 1: and it was probably the post they still don't have 19 00:01:07,760 --> 00:01:11,840 Speaker 1: COVID testing available. The line was a mile long of 20 00:01:11,959 --> 00:01:15,440 Speaker 1: people wanting to get a COVID test. We ran out 21 00:01:15,480 --> 00:01:18,960 Speaker 1: of COVID test over Christmas because they were, oh, we 22 00:01:19,040 --> 00:01:22,199 Speaker 1: didn't we didn't see amicron coming, they said, they actually 23 00:01:22,280 --> 00:01:27,520 Speaker 1: said it monoclonal antibodies. They're now literally taking away Regeneron 24 00:01:27,600 --> 00:01:31,119 Speaker 1: and Eli Lily, and the temporary use authorization has now 25 00:01:31,160 --> 00:01:35,520 Speaker 1: gone away now they originally provided these supplies to the 26 00:01:35,560 --> 00:01:39,240 Speaker 1: federal government. The Food and Drug Administration granted emergency use 27 00:01:39,360 --> 00:01:42,920 Speaker 1: authorization for monoclonals, which to me are the gold standard 28 00:01:42,959 --> 00:01:45,720 Speaker 1: in terms of but check with your doctor in terms 29 00:01:45,760 --> 00:01:49,040 Speaker 1: of if you get COVID a breakthrough case. Unvaccinated doesn't 30 00:01:49,080 --> 00:01:55,240 Speaker 1: matter in terms of you know, literally stopping the lab 31 00:01:55,280 --> 00:01:59,600 Speaker 1: made proteins, providing antibodies early to fight COVID faster than 32 00:01:59,640 --> 00:02:02,880 Speaker 1: your body it can make them, which has tremendously reduced 33 00:02:02,920 --> 00:02:06,520 Speaker 1: the risk of hospitalization and death. And for example, at 34 00:02:06,520 --> 00:02:09,680 Speaker 1: the end of November as Amicron arrived, you know, I 35 00:02:09,720 --> 00:02:15,160 Speaker 1: think the federal authorization for Glaxo smith Klein's Stroba mab 36 00:02:15,520 --> 00:02:18,120 Speaker 1: was back in May, and they didn't prepare that either, 37 00:02:18,360 --> 00:02:21,720 Speaker 1: which is more effective for Amicron. I mean, it's been 38 00:02:21,760 --> 00:02:24,840 Speaker 1: one screw up after another. You can't even make up 39 00:02:24,880 --> 00:02:28,919 Speaker 1: how bad it is, and it is. It is sad 40 00:02:29,240 --> 00:02:33,240 Speaker 1: because people that get sick are needlessly dying when we 41 00:02:33,280 --> 00:02:37,079 Speaker 1: could be treating them. You know, still the most places 42 00:02:37,120 --> 00:02:40,000 Speaker 1: in this country still are they're in the dinosaur era. 43 00:02:40,280 --> 00:02:42,480 Speaker 1: You know, Oh you got a positive test, go home. 44 00:02:42,520 --> 00:02:44,880 Speaker 1: If your temperature goes up, take two tilan all to 45 00:02:44,960 --> 00:02:48,680 Speaker 1: reduce the temperature and monitor your oxygen. And if it 46 00:02:48,720 --> 00:02:51,000 Speaker 1: gets to ninety or below, you probably need to go 47 00:02:51,040 --> 00:02:53,240 Speaker 1: to a hospital. Well, if it gets to ninetyear below, 48 00:02:53,280 --> 00:02:56,440 Speaker 1: that's probably day seven. And then the problem is it's 49 00:02:56,440 --> 00:02:59,440 Speaker 1: going to go from ninety to eighty four to eighty 50 00:02:59,600 --> 00:03:03,200 Speaker 1: to seventy in no time. In other words, but if 51 00:03:03,200 --> 00:03:07,280 Speaker 1: you follow their protocols, which is reactive medicine, not proactive medicine, 52 00:03:07,800 --> 00:03:10,919 Speaker 1: you're gonna get covid lung covid pneumonia. And then it's 53 00:03:10,919 --> 00:03:13,560 Speaker 1: a crapshoot. Are you going to get by with oxygen 54 00:03:13,560 --> 00:03:15,959 Speaker 1: where your lungs heal faster than some other people, or 55 00:03:16,000 --> 00:03:18,680 Speaker 1: you're gonna get put on a ventilator where your odds 56 00:03:18,680 --> 00:03:23,840 Speaker 1: of living are less than your odds of dying. It's unbelievable. 57 00:03:24,400 --> 00:03:26,919 Speaker 1: We have been covering this at length on this program. 58 00:03:27,160 --> 00:03:31,600 Speaker 1: And I always stick by my principles research, take it seriously. 59 00:03:32,160 --> 00:03:35,880 Speaker 1: You know, understand your medical history, a carent medical condition, 60 00:03:36,520 --> 00:03:39,040 Speaker 1: talk to your doctor doctors, and then make the decision 61 00:03:39,120 --> 00:03:42,880 Speaker 1: right for you. On the mask issue, Walinski and Fauci, 62 00:03:43,560 --> 00:03:46,360 Speaker 1: they're still pushing the mask mandate. They've been wrong on everything. 63 00:03:46,400 --> 00:03:49,360 Speaker 1: The same Faucci that said masks don't work. You said 64 00:03:49,360 --> 00:03:52,160 Speaker 1: that in March of twenty twenty. Listen, we understand what 65 00:03:53,160 --> 00:03:55,960 Speaker 1: governors are saying. We also want to make sure that 66 00:03:56,000 --> 00:03:58,920 Speaker 1: people are safe and that the CDC has not amended 67 00:03:59,160 --> 00:04:02,040 Speaker 1: our guidance. Right now, we continue to recommend masking in 68 00:04:02,080 --> 00:04:05,520 Speaker 1: schools for everyone. We continue to recommend masking in public 69 00:04:05,560 --> 00:04:08,960 Speaker 1: indoor settings in areas of higher substantial transmission, and that 70 00:04:09,080 --> 00:04:11,880 Speaker 1: right now is everywhere in the country. What are your 71 00:04:11,880 --> 00:04:14,160 Speaker 1: thoughts on children, first of all, needing to wear masks 72 00:04:14,160 --> 00:04:16,520 Speaker 1: at school, and what do you think about the possibility 73 00:04:16,560 --> 00:04:19,480 Speaker 1: we're going to be able to lift Well, certainly they 74 00:04:19,520 --> 00:04:24,200 Speaker 1: will come a time, hopefully ravel data, when we will 75 00:04:24,279 --> 00:04:28,400 Speaker 1: be able to lift the mask mandate in general, including 76 00:04:28,400 --> 00:04:31,200 Speaker 1: to school, but we're not there yet. Now. One of 77 00:04:31,200 --> 00:04:33,279 Speaker 1: the things about Fauci that annoys the hell out of 78 00:04:33,320 --> 00:04:35,520 Speaker 1: me besides being wrong the whole time, He's never been 79 00:04:35,560 --> 00:04:38,520 Speaker 1: on the front lines at all, and he gets all 80 00:04:38,760 --> 00:04:42,279 Speaker 1: the highest paid government official that gets paid to be 81 00:04:42,360 --> 00:04:45,359 Speaker 1: wrong all the time. Doctor Brian Tyson is the co 82 00:04:45,520 --> 00:04:49,000 Speaker 1: author of the book Overcoming the COVID Darkness. He wrote 83 00:04:49,000 --> 00:04:51,440 Speaker 1: this with doctor George Farid, who's been on this program 84 00:04:51,640 --> 00:04:56,080 Speaker 1: how two doctors successfully treated seven thousand patients. Were also 85 00:04:56,200 --> 00:05:00,480 Speaker 1: joined by doctor Joel Zimberg, medical doctor, health policy expert, 86 00:05:00,800 --> 00:05:03,159 Speaker 1: and he had an article in the Wall Street Journal 87 00:05:03,200 --> 00:05:05,800 Speaker 1: asking the question, why is the White House trying to 88 00:05:05,920 --> 00:05:09,920 Speaker 1: play doctor? And apparently I've been hearing rumors about this, 89 00:05:10,200 --> 00:05:13,719 Speaker 1: But is it true, doctor Brian Tyson, that you've had 90 00:05:13,839 --> 00:05:17,200 Speaker 1: enough and you're going to run for office. That's correct, John, 91 00:05:17,279 --> 00:05:20,640 Speaker 1: I am. I'm running for Congress for the California twenty 92 00:05:20,680 --> 00:05:25,160 Speaker 1: fifth district. We've we've had enough. The medical tyranny is 93 00:05:25,960 --> 00:05:30,120 Speaker 1: gone far far overreach at this point. So well, let 94 00:05:30,160 --> 00:05:32,159 Speaker 1: me ask you, is it a Republican district or a 95 00:05:32,200 --> 00:05:34,640 Speaker 1: Democratic district? Does it tend to lean left or right? 96 00:05:34,680 --> 00:05:37,040 Speaker 1: And have you looked at what the redistricting looks like 97 00:05:37,200 --> 00:05:40,680 Speaker 1: because the jerrymandering has been way out of control. Yeah, 98 00:05:40,720 --> 00:05:45,960 Speaker 1: it's a. It's a democratic controlled area. They did jerrymander 99 00:05:46,760 --> 00:05:51,359 Speaker 1: the new district quite substantially, actually, But you know, my 100 00:05:51,400 --> 00:05:54,200 Speaker 1: ties with the community in the entire district, I think 101 00:05:54,279 --> 00:05:58,599 Speaker 1: is something that they they're not expecting. And so you know, 102 00:05:58,640 --> 00:06:01,679 Speaker 1: I've I've been around this whole area of my whole life, 103 00:06:01,680 --> 00:06:04,040 Speaker 1: so most most people know me. So we'll see what 104 00:06:04,480 --> 00:06:07,680 Speaker 1: we can accomplish. Listen. I admire people that step up, 105 00:06:07,720 --> 00:06:10,640 Speaker 1: but I have questions about the sanity of anybody that does, 106 00:06:10,680 --> 00:06:13,839 Speaker 1: because you're you know, you're literally turning your life upside 107 00:06:13,839 --> 00:06:15,600 Speaker 1: down to do it. But I admire the fact that 108 00:06:15,640 --> 00:06:17,640 Speaker 1: you are. I know, doctor Oz is doing the same 109 00:06:17,640 --> 00:06:20,480 Speaker 1: thing in Pennsylvania, trying to get the Republican primary there. 110 00:06:21,360 --> 00:06:23,560 Speaker 1: He's leading in all the polls that I've seen so far. 111 00:06:24,800 --> 00:06:27,120 Speaker 1: Let me ask you, doctor Zimberg. You wrote this piece 112 00:06:27,120 --> 00:06:29,279 Speaker 1: for the Wall Street Journal why is the White House 113 00:06:29,360 --> 00:06:32,680 Speaker 1: playing doctor? And when I read it, there's been so 114 00:06:32,800 --> 00:06:35,640 Speaker 1: much pressure brought to bear on me to tell people 115 00:06:35,839 --> 00:06:38,200 Speaker 1: number one, my status, which is none of their damn 116 00:06:38,279 --> 00:06:42,919 Speaker 1: business because I believe in medical privacy and doctor patient confidentiality, 117 00:06:43,440 --> 00:06:46,240 Speaker 1: and nor do I want to influence people to do 118 00:06:46,320 --> 00:06:49,479 Speaker 1: things that maybe that I would do that. They may not. 119 00:06:49,839 --> 00:06:53,400 Speaker 1: Maybe they shouldn't do themselves. The second thing is people 120 00:06:53,720 --> 00:06:56,320 Speaker 1: wanting me to tell people exactly what to do. You 121 00:06:56,440 --> 00:06:59,159 Speaker 1: just heard my mantra. I don't tell them what to 122 00:06:59,200 --> 00:07:02,839 Speaker 1: do except take it seriously, research, know their medical history, 123 00:07:02,880 --> 00:07:05,200 Speaker 1: talk to their doctors. Am my writer? Am I wrong 124 00:07:05,320 --> 00:07:09,040 Speaker 1: in that approach? Now you're You're absolutely right. You shouldn't 125 00:07:09,040 --> 00:07:12,640 Speaker 1: be doing it, and Washington bureaucrat shouldn't be doing it either. 126 00:07:13,000 --> 00:07:19,200 Speaker 1: I mean Washington, the Biden administrations, HHS and SDA have 127 00:07:19,400 --> 00:07:24,720 Speaker 1: been micromanaging the availability of the three monoclone lantibodies that 128 00:07:24,800 --> 00:07:29,440 Speaker 1: have been approved or what that we're authorized, and they're 129 00:07:29,520 --> 00:07:32,400 Speaker 1: basically doing it in a way that says, we don't 130 00:07:32,400 --> 00:07:35,360 Speaker 1: trust the doctors, the people like me who went to 131 00:07:35,440 --> 00:07:38,040 Speaker 1: medical school for four years and then many more years 132 00:07:38,080 --> 00:07:41,560 Speaker 1: of residency training. We don't trust them to know what's 133 00:07:41,680 --> 00:07:44,400 Speaker 1: working and what isn't working, and what variants are in 134 00:07:44,480 --> 00:07:47,440 Speaker 1: their communities and are not in their communities. We want 135 00:07:47,440 --> 00:07:51,880 Speaker 1: to micromanage it and make them available or make them unavailable. 136 00:07:51,920 --> 00:07:55,120 Speaker 1: And that you refer to with the most recent thing 137 00:07:55,200 --> 00:07:59,440 Speaker 1: they did was pull the emergency youth off use authorizations 138 00:07:59,640 --> 00:08:04,760 Speaker 1: for the regeneral and literally monoclonal antibodies, which means if 139 00:08:04,800 --> 00:08:08,280 Speaker 1: we get a resurgence of the delta variant or if 140 00:08:08,280 --> 00:08:11,200 Speaker 1: we get a new variant that is susceptible to those, 141 00:08:11,440 --> 00:08:15,119 Speaker 1: those drugs are going to be unavailable. What it makes 142 00:08:15,160 --> 00:08:18,240 Speaker 1: no sense to me. Anecdotally, I know people that had 143 00:08:18,240 --> 00:08:21,800 Speaker 1: the omicron variant that did use regeneral and Eli lily 144 00:08:21,840 --> 00:08:26,800 Speaker 1: monoclonal animbodies, and again this is anecdotal. Every single person 145 00:08:26,880 --> 00:08:29,920 Speaker 1: Doctor Tyson did, well, Yeah, I mean we've been using 146 00:08:30,000 --> 00:08:34,120 Speaker 1: all three monoclonal antibodies in our treatment centers out here, 147 00:08:34,720 --> 00:08:37,720 Speaker 1: and you know what I found interesting was they kept 148 00:08:37,760 --> 00:08:43,400 Speaker 1: telling me that amicron was the most prevalent except in 149 00:08:43,480 --> 00:08:46,480 Speaker 1: our hospital. Sixty percent of the cases in the hospital 150 00:08:47,559 --> 00:08:50,760 Speaker 1: were delta variant, and so you know, again they pulled it, 151 00:08:50,760 --> 00:08:55,119 Speaker 1: in my opinion, too soon. Again, they're taking our ability 152 00:08:55,160 --> 00:08:58,360 Speaker 1: to treat sick people away from us. And we've seen 153 00:08:58,360 --> 00:09:00,840 Speaker 1: this not just with monoclonal antibody, but we've seen this 154 00:09:00,920 --> 00:09:04,600 Speaker 1: with you know, nctal systeine. We've seen this with the zithromax. 155 00:09:05,160 --> 00:09:08,120 Speaker 1: We've seen this with hydroxychloroquine. We've seen this with ibermectin. 156 00:09:08,559 --> 00:09:10,840 Speaker 1: You know, we've seen this with sluvoxamine. We've seen this 157 00:09:10,960 --> 00:09:15,559 Speaker 1: with even steroids, and he'll be deconite. You know, every 158 00:09:15,720 --> 00:09:19,199 Speaker 1: every treatment option we come up with, the government seems 159 00:09:19,240 --> 00:09:21,920 Speaker 1: to place restrictions on it, and the pharmacy has put 160 00:09:21,920 --> 00:09:26,319 Speaker 1: restrictions on it, and it's it's maddening. I don't understand 161 00:09:26,840 --> 00:09:28,880 Speaker 1: why the government does not want us to take care 162 00:09:28,880 --> 00:09:31,240 Speaker 1: of sick people. Let me ask you both about this 163 00:09:31,440 --> 00:09:36,080 Speaker 1: omicron subvarianba dot too. I don't know if that's the 164 00:09:36,160 --> 00:09:39,320 Speaker 1: right way to say it, but apparently it is far 165 00:09:39,400 --> 00:09:44,640 Speaker 1: more contagious than the very contagious omicron original um, what 166 00:09:44,679 --> 00:09:46,880 Speaker 1: do you know about a doctor zimberg? And do you 167 00:09:46,920 --> 00:09:50,920 Speaker 1: expect the same spread as we had? It's now going 168 00:09:51,160 --> 00:09:54,400 Speaker 1: it's racing through Great Britain, which is usually an indication 169 00:09:54,440 --> 00:09:57,559 Speaker 1: it's coming here in big numbers. Well, we don't know 170 00:09:57,720 --> 00:10:00,640 Speaker 1: yet that much about it. And it's still forms a 171 00:10:01,080 --> 00:10:06,720 Speaker 1: miscule part of the variants that are prevalent here, but 172 00:10:06,800 --> 00:10:10,120 Speaker 1: about four percent. That doesn't mean that it's not going 173 00:10:10,200 --> 00:10:13,520 Speaker 1: to be coming here. And you know, it seems from 174 00:10:13,559 --> 00:10:16,920 Speaker 1: the initial reports that it's more transmissible even than omicron. 175 00:10:17,720 --> 00:10:22,120 Speaker 1: But it remains to be seen what that will mean 176 00:10:22,200 --> 00:10:25,560 Speaker 1: in terms of the seriousness of the illness that it causes. 177 00:10:25,760 --> 00:10:28,360 Speaker 1: And also, of course we don't know how it will 178 00:10:28,440 --> 00:10:31,880 Speaker 1: respond to the various treatments, and we don't know what 179 00:10:31,920 --> 00:10:36,000 Speaker 1: the vaccine immunity will be, in the natural immunity will 180 00:10:36,040 --> 00:10:39,880 Speaker 1: be relative to it. Here's the earliest report that I 181 00:10:40,080 --> 00:10:43,120 Speaker 1: have on this, if you're interested. It says according to 182 00:10:43,160 --> 00:10:45,760 Speaker 1: public health experts in both Denmark and the UK, the 183 00:10:45,840 --> 00:10:48,920 Speaker 1: variant appears to be between thirty and thirty four percent 184 00:10:49,000 --> 00:10:55,800 Speaker 1: more infectious than the currently dominant amicron. A recent Danish 185 00:10:55,840 --> 00:11:00,000 Speaker 1: study also found that this new omicron variant was relative 186 00:11:00,040 --> 00:11:04,600 Speaker 1: to lead better in the sense of infecting vaccinated people, 187 00:11:04,640 --> 00:11:10,080 Speaker 1: indicating the sub variant of omicron has greater immune evasive properties. 188 00:11:10,120 --> 00:11:12,880 Speaker 1: Doctor Tyson, Yeah, I mean, so again you know whether 189 00:11:12,960 --> 00:11:15,960 Speaker 1: the spread of this is you know, the issue or not. 190 00:11:16,080 --> 00:11:18,239 Speaker 1: I think more we'd need to be looking at facurity 191 00:11:18,320 --> 00:11:22,160 Speaker 1: of disease. You know, omicron out here when when we 192 00:11:22,200 --> 00:11:25,240 Speaker 1: saw it basically was just an upper head cold and 193 00:11:25,320 --> 00:11:28,120 Speaker 1: that was a good thing. We didn't see the high 194 00:11:28,200 --> 00:11:31,959 Speaker 1: hostilization rate that everybody was expecting. So I'd be interested 195 00:11:32,000 --> 00:11:34,679 Speaker 1: to see more what the hostilization rate I see rate 196 00:11:34,720 --> 00:11:38,040 Speaker 1: and death rate is out there compared to the omicron 197 00:11:38,120 --> 00:11:41,640 Speaker 1: that just went through. We wouldn't if any of those data. Yet, 198 00:11:42,000 --> 00:11:45,600 Speaker 1: if GSK cetrova mab seems to be the monoclon alot 199 00:11:45,640 --> 00:11:49,800 Speaker 1: of body of choice for omicron, wouldn't it be logical? 200 00:11:50,000 --> 00:11:51,840 Speaker 1: And you you went to med school, you did the 201 00:11:51,880 --> 00:11:55,400 Speaker 1: residency and internships, both of you. Not me, But in 202 00:11:55,440 --> 00:11:58,400 Speaker 1: my mind I would think that GSK cetrova mab would 203 00:11:58,440 --> 00:12:02,559 Speaker 1: probably be effective against the omicron. This new omicron variant. 204 00:12:02,720 --> 00:12:06,480 Speaker 1: Is that faulty thinking, doctor Zemberg. Now, it's not faulty 205 00:12:06,520 --> 00:12:08,920 Speaker 1: at all. And in fact, early on back at the 206 00:12:09,480 --> 00:12:14,640 Speaker 1: end of November, when the HHS first put a pause 207 00:12:14,720 --> 00:12:19,240 Speaker 1: on the availability of cetrova mab, it really made no 208 00:12:19,320 --> 00:12:23,560 Speaker 1: sense because that was a point at which omicron appeared 209 00:12:23,559 --> 00:12:28,840 Speaker 1: to be gaining steam, and there was real reason to doubt, 210 00:12:29,080 --> 00:12:34,200 Speaker 1: because of the thirty and more various mutations on the 211 00:12:34,240 --> 00:12:39,000 Speaker 1: spike protein of the virus, that the other tube antibodies 212 00:12:39,000 --> 00:12:41,080 Speaker 1: were going to work to regener ond and Lily. But 213 00:12:41,520 --> 00:12:46,120 Speaker 1: we knew that the cetrova mab targeted a different part 214 00:12:46,160 --> 00:12:48,760 Speaker 1: of the spike protein one that the mutate is often 215 00:12:48,800 --> 00:12:53,440 Speaker 1: and it was thought that that would preserves its effectiveness 216 00:12:53,440 --> 00:12:56,160 Speaker 1: even against omicron. And I think this, you know, it 217 00:12:56,280 --> 00:12:59,800 Speaker 1: happens to be something that was originally developed against the 218 00:13:00,040 --> 00:13:04,480 Speaker 1: regional stars virus, so you know it from two thousand 219 00:13:04,480 --> 00:13:07,280 Speaker 1: and three, so it's there's every reason to believe that 220 00:13:07,320 --> 00:13:12,360 Speaker 1: it would probably preserve its effectiveness against this omicom subvariant. 221 00:13:12,600 --> 00:13:15,160 Speaker 1: I mean, it all gets confusing to people, all right, 222 00:13:15,240 --> 00:13:18,080 Speaker 1: quick break more with doctor Tyson, doctor Joel Zenberg. On 223 00:13:18,080 --> 00:13:22,760 Speaker 1: the other side, doctor Tyson and doctor Freed's book Overcoming 224 00:13:22,840 --> 00:13:26,600 Speaker 1: COVID The COVID Darkness How two doctors successfully treated seven 225 00:13:26,600 --> 00:13:30,280 Speaker 1: thousand patients, Amazon dot com, Hannity dot com, bookstores, everywhere. 226 00:13:39,520 --> 00:13:41,960 Speaker 1: I would continue with doctor Brian Tyson. He, along with 227 00:13:42,000 --> 00:13:45,440 Speaker 1: doctor George for Reid, authored the book Overcoming the COVID Darkness, 228 00:13:45,480 --> 00:13:50,120 Speaker 1: How two doctors successfully treated seven thousand patients. Amazon dot com, 229 00:13:50,200 --> 00:13:53,520 Speaker 1: Hannity dot com, bookstores everywhere. By the way, doctor Tyson 230 00:13:53,559 --> 00:13:56,880 Speaker 1: and California is running for Congress. And doctor Joel Zimberg, 231 00:13:56,920 --> 00:13:58,880 Speaker 1: who wrote a great piece in the Wall Street Journal. 232 00:13:59,080 --> 00:14:03,000 Speaker 1: I know more people, doctor Tyson that have gotten COVID 233 00:14:03,080 --> 00:14:08,000 Speaker 1: now twice, and now that we know that vaccinated unvaccinated, 234 00:14:08,000 --> 00:14:11,120 Speaker 1: if you've fully vaccinated and have a booster, you're still 235 00:14:11,120 --> 00:14:15,400 Speaker 1: getting omicron. You're still getting infected. If you had natural immunity, 236 00:14:15,440 --> 00:14:17,640 Speaker 1: you're still getting infected. Because I know so many people 237 00:14:17,679 --> 00:14:20,760 Speaker 1: that have gotten it twice. Do you see an endemic 238 00:14:21,080 --> 00:14:24,960 Speaker 1: insight in any way as Faucci was predicting, Because I 239 00:14:25,000 --> 00:14:28,240 Speaker 1: don't trust doctor Fauci or the NIH, or the CDC, 240 00:14:28,960 --> 00:14:31,880 Speaker 1: or Will Lenski or Joe Biden or Kamala Harris at 241 00:14:31,920 --> 00:14:34,560 Speaker 1: all on this topic. So I mean my opinion on 242 00:14:34,600 --> 00:14:37,760 Speaker 1: that is, I would imagine if we quit vaccinating in 243 00:14:37,840 --> 00:14:41,080 Speaker 1: the middle of the pandemic, I think we can, you know, 244 00:14:41,120 --> 00:14:47,320 Speaker 1: stop causing the variants to keep changing. You know out 245 00:14:47,400 --> 00:14:51,920 Speaker 1: here now numbers are falling extremely rapidly, just like we 246 00:14:51,960 --> 00:14:55,120 Speaker 1: saw that that big spike. Now we're seeing a huge 247 00:14:55,200 --> 00:14:59,000 Speaker 1: decrease in cases out here in our area. So I mean, 248 00:14:59,120 --> 00:15:02,320 Speaker 1: it may be indem and that's fine if it's you know, 249 00:15:02,400 --> 00:15:04,200 Speaker 1: the common cold that we see with like the other 250 00:15:04,240 --> 00:15:07,680 Speaker 1: five coronaviruses that we normally seem I don't again, don't 251 00:15:07,680 --> 00:15:10,920 Speaker 1: see it as a problem those being reinfected all the 252 00:15:10,960 --> 00:15:14,400 Speaker 1: cases seem to be extremely, extremely mild, and that's a 253 00:15:14,400 --> 00:15:16,840 Speaker 1: good thing. I want to thank you both. Doctor Tyson, 254 00:15:16,920 --> 00:15:20,840 Speaker 1: thank you, congratulations on two things. Running for Congress. By 255 00:15:20,880 --> 00:15:22,440 Speaker 1: the way, if you want to get ahold of this 256 00:15:22,560 --> 00:15:25,600 Speaker 1: book that he co wrote with doctor doctor f Reed, 257 00:15:26,000 --> 00:15:29,840 Speaker 1: Overcoming the COVID Darkness, How two doctors successfully treated seven 258 00:15:29,880 --> 00:15:33,640 Speaker 1: thousand patients, you can get it on Amazon dot com. 259 00:15:33,640 --> 00:15:36,640 Speaker 1: We'll throw it up on Hannity dot com and bookstores everywhere. 260 00:15:37,360 --> 00:15:39,840 Speaker 1: Doctor Zimberg, great writing in the Wall Street Journal. We 261 00:15:39,880 --> 00:15:42,960 Speaker 1: appreciate both of you being with us today. Thank you, Thanks, 262 00:15:43,280 --> 00:16:15,360 Speaker 1: you appreciate it. Quick break right back, check out the 263 00:16:15,400 --> 00:16:18,680 Speaker 1: show twenty four to seven downloaded to your iPod. Be 264 00:16:18,880 --> 00:16:22,840 Speaker 1: a Handity insider at Hannity dot com. All right, twenty 265 00:16:22,880 --> 00:16:25,040 Speaker 1: five now until the top of the hour, eight hundred 266 00:16:25,080 --> 00:16:27,680 Speaker 1: and nine four one sean if you want to be 267 00:16:27,720 --> 00:16:31,000 Speaker 1: a part of the program I mentioned earlier. Now Democrats 268 00:16:31,000 --> 00:16:36,000 Speaker 1: are quickly as possible trying to reverse their themselves and 269 00:16:36,120 --> 00:16:39,320 Speaker 1: reverse course on on COVID restrictions ahead of the mid term. 270 00:16:39,480 --> 00:16:42,560 Speaker 1: Then they're lying and telling you, oh, we even we 271 00:16:42,320 --> 00:16:45,640 Speaker 1: were always been pro law enforcement and we never support 272 00:16:45,720 --> 00:16:49,440 Speaker 1: a defund dismantle nobel laws. Oh no, that's not us. 273 00:16:49,800 --> 00:16:52,520 Speaker 1: They're lying. It's an election year. I'll give you another 274 00:16:52,560 --> 00:16:55,880 Speaker 1: case in point, Beto Bozo Rourke. Remember he said, Hell, yeah, 275 00:16:55,880 --> 00:16:58,200 Speaker 1: we're gonna take away your assault weapons. Remember that moment, 276 00:16:58,280 --> 00:17:00,880 Speaker 1: and you said, quote Americans who own AAR fifteens and 277 00:17:00,960 --> 00:17:03,480 Speaker 1: a K forty sevens will have to sell them to 278 00:17:03,520 --> 00:17:06,359 Speaker 1: the government, all of them. You know, the critics call 279 00:17:06,440 --> 00:17:09,639 Speaker 1: this confiscation. Are you proposing taking away their guns? And 280 00:17:09,680 --> 00:17:12,919 Speaker 1: how would this work? I am if it's a weapon 281 00:17:12,960 --> 00:17:17,400 Speaker 1: that was designed to kill people on a battlefield. Hell yes, 282 00:17:17,480 --> 00:17:20,120 Speaker 1: we're gonna take your AR fifteen, your AK forty seven. 283 00:17:20,560 --> 00:17:22,400 Speaker 1: We're not going to allow it to be used against 284 00:17:23,000 --> 00:17:28,400 Speaker 1: fellow Americans anymore. Oh now he's running for governor in Texas. 285 00:17:28,640 --> 00:17:31,280 Speaker 1: It didn't work out well the first time, so let's 286 00:17:31,280 --> 00:17:34,359 Speaker 1: reverse course, shall we Listen. I'm not interested in taking 287 00:17:34,400 --> 00:17:36,320 Speaker 1: anything from anyone. What I want to make sure that 288 00:17:36,359 --> 00:17:39,240 Speaker 1: we do is defend the Second Amendment. I want to 289 00:17:39,280 --> 00:17:41,640 Speaker 1: make sure that we protect our fellow Texans far better 290 00:17:41,680 --> 00:17:43,760 Speaker 1: than we're doing right now, and that we listen to 291 00:17:43,800 --> 00:17:47,119 Speaker 1: law enforcement, which Greg Abbott refused to do turned his 292 00:17:47,200 --> 00:17:49,960 Speaker 1: back on when he signed that permitless carry bill that 293 00:17:50,160 --> 00:17:53,159 Speaker 1: endangers the lives of law enforcement in a state that 294 00:17:53,200 --> 00:17:56,040 Speaker 1: have seen more cops and sheriff's deputy's gunned down than 295 00:17:56,080 --> 00:17:59,560 Speaker 1: in any other. Oh, that's what you called. There's a 296 00:17:59,600 --> 00:18:03,639 Speaker 1: word for his words for it. Election year conversion. Now, 297 00:18:04,000 --> 00:18:08,320 Speaker 1: usually what happens if people fall for the lie, then 298 00:18:08,359 --> 00:18:10,600 Speaker 1: they get in office and then they go back to 299 00:18:10,640 --> 00:18:13,639 Speaker 1: the real position that they help they hold. That's what 300 00:18:13,880 --> 00:18:17,320 Speaker 1: That's what usually happens. It's so sickening to me. You know. 301 00:18:17,359 --> 00:18:19,760 Speaker 1: The only good thing is, you know, Joe Biden can 302 00:18:19,760 --> 00:18:23,440 Speaker 1: claim all he wants that he's never supported he's always 303 00:18:23,440 --> 00:18:26,800 Speaker 1: supported the cops, never supported defund but he is on record. 304 00:18:26,880 --> 00:18:29,439 Speaker 1: There is tapes out there. Oh yeah, of course I 305 00:18:29,480 --> 00:18:33,000 Speaker 1: would read direct moneies away from the police, and you know, 306 00:18:33,080 --> 00:18:37,240 Speaker 1: police become the enemy. And Kamala Harris her tweet will 307 00:18:37,240 --> 00:18:40,359 Speaker 1: never go away, or supporting the Minneapolis Bell Fund or 308 00:18:40,440 --> 00:18:47,480 Speaker 1: praise of the LAPD for defunding that department and cutting 309 00:18:47,520 --> 00:18:50,199 Speaker 1: back on money's spent for the police. They're just just 310 00:18:50,240 --> 00:18:53,240 Speaker 1: phony hypocrites. And why is it I saw this article. 311 00:18:53,280 --> 00:18:56,640 Speaker 1: I'm like looking at this whole story out in California 312 00:18:56,800 --> 00:19:01,280 Speaker 1: where Bay area San Francisco, homeowners landlords are being asked 313 00:19:01,320 --> 00:19:04,640 Speaker 1: to take in homeless people. Well, Nancy Pelosi lives there. 314 00:19:04,840 --> 00:19:08,280 Speaker 1: She lives in a gated community. She lives, you know, 315 00:19:08,400 --> 00:19:12,480 Speaker 1: in a multi multimillion dollar home surrounded by other multi 316 00:19:12,560 --> 00:19:17,480 Speaker 1: multimillion dollar homes. Anyway, the mayor nonprofits they're trying to 317 00:19:17,520 --> 00:19:20,159 Speaker 1: prod residents and landlords to take in one of the 318 00:19:20,240 --> 00:19:24,320 Speaker 1: nearly thirty thousand homeless individuals in the five county area. Well, 319 00:19:24,320 --> 00:19:26,280 Speaker 1: I would like to see Nancy Pelosi go door to 320 00:19:26,400 --> 00:19:28,960 Speaker 1: door and ask her neighbors to adopt a homeless person. 321 00:19:29,119 --> 00:19:32,000 Speaker 1: And she could start by doing it herself. I mean, 322 00:19:32,720 --> 00:19:36,320 Speaker 1: this is insanity, just like you know they lied about 323 00:19:36,640 --> 00:19:39,639 Speaker 1: Oh when we when we were talking about giving away 324 00:19:41,119 --> 00:19:45,760 Speaker 1: safety kits and safe smoking kits and cetera, didn't really 325 00:19:45,800 --> 00:19:50,880 Speaker 1: include uh, you know, crack pipes. We did include needles 326 00:19:50,880 --> 00:19:53,960 Speaker 1: in that, and we did include alcohol wipes and lip 327 00:19:53,960 --> 00:19:57,160 Speaker 1: bomb in that. Okay, thirty million dollars in lip bomb 328 00:19:57,680 --> 00:20:01,720 Speaker 1: and alcohol wipes. Really, they're just lying through their teeth. 329 00:20:02,560 --> 00:20:04,520 Speaker 1: By the way, MPR got the crap kicked out of 330 00:20:04,520 --> 00:20:09,280 Speaker 1: them yesterday for their take on emojis and how some 331 00:20:09,400 --> 00:20:14,920 Speaker 1: can supposedly denote white privilege. The article headline which skin 332 00:20:15,000 --> 00:20:18,960 Speaker 1: color emoji should you use? The answer may be more 333 00:20:19,000 --> 00:20:23,000 Speaker 1: complex than you think, claiming that white people using the 334 00:20:23,119 --> 00:20:28,360 Speaker 1: common yellow handed thumbs up emoji can actually suggest ignorance 335 00:20:28,760 --> 00:20:32,600 Speaker 1: of white privilege. And I mean, okay, where are we 336 00:20:32,640 --> 00:20:36,359 Speaker 1: going with us? If you think things can't get crazier 337 00:20:36,600 --> 00:20:41,320 Speaker 1: they are. I mean, we we have a party in 338 00:20:41,359 --> 00:20:46,479 Speaker 1: this country that is so you know, bat atom shift 339 00:20:46,640 --> 00:20:51,600 Speaker 1: crazy that they're just they have lost it. We've got 340 00:20:51,600 --> 00:20:55,160 Speaker 1: to get this country back on track. Eighth graders are 341 00:20:55,200 --> 00:20:59,280 Speaker 1: given an assignment. What's the assignment? To use pizza toppings 342 00:20:59,400 --> 00:21:05,240 Speaker 1: as metal fours for sex acts such as Olive's equally 343 00:21:05,440 --> 00:21:10,320 Speaker 1: giving oral sex. I'm not making this up. The students 344 00:21:10,359 --> 00:21:14,360 Speaker 1: that John F. Kennedy Middle School recently received the Pizza 345 00:21:14,400 --> 00:21:17,719 Speaker 1: and Consent assignment, which asks students to compare their favorite 346 00:21:17,720 --> 00:21:21,240 Speaker 1: pizza toppings to their favorite sex acts. We can use 347 00:21:21,280 --> 00:21:23,960 Speaker 1: pizza as a metaphor for sex, The assignment says, when 348 00:21:23,960 --> 00:21:26,119 Speaker 1: you order a pizza with your friends, everyone checks it 349 00:21:26,160 --> 00:21:29,280 Speaker 1: out and each other's preferences right. Well, the same goes 350 00:21:29,320 --> 00:21:32,399 Speaker 1: for sex. It then provides the children with a section 351 00:21:32,480 --> 00:21:36,399 Speaker 1: to list their favorite pizza toppings, their favorite sex acts. 352 00:21:36,440 --> 00:21:41,840 Speaker 1: You know, like cheese equals kissing, dislikes olive's equals oral sex. 353 00:21:42,000 --> 00:21:44,440 Speaker 1: Should I keep going? Or do you get the point? 354 00:21:44,680 --> 00:21:47,800 Speaker 1: By the way, a Del is now under fire being 355 00:21:47,840 --> 00:21:52,159 Speaker 1: accused of transphobia. Anyway, she's a great singer, she's funny 356 00:21:52,160 --> 00:21:55,560 Speaker 1: as hell. I actually watched a documentary on her, short 357 00:21:55,600 --> 00:21:57,760 Speaker 1: of not not the Oprah interview. I'm talking about a 358 00:21:57,840 --> 00:22:02,480 Speaker 1: documentary and anyway, so she was at the brit Awards. 359 00:22:02,480 --> 00:22:05,399 Speaker 1: She collected the prize as Artist of the Year, a 360 00:22:05,480 --> 00:22:10,880 Speaker 1: newly created category that merges the best male Best Female 361 00:22:11,040 --> 00:22:13,280 Speaker 1: Artist awards. In other words, you don't have you don't 362 00:22:13,280 --> 00:22:16,080 Speaker 1: separate it any longer. She said. I understand why the 363 00:22:16,200 --> 00:22:18,520 Speaker 1: name of this award has changed, but I really love 364 00:22:18,640 --> 00:22:21,520 Speaker 1: being a woman and being a female artist. I do, 365 00:22:21,800 --> 00:22:24,719 Speaker 1: she said to cheers. I'm really proud of us. I 366 00:22:24,760 --> 00:22:28,000 Speaker 1: really am boy. Can you imagine if shoot sang Helen 367 00:22:28,040 --> 00:22:32,640 Speaker 1: ready song, I am woman, hear me roar grief. We're 368 00:22:32,680 --> 00:22:35,400 Speaker 1: just we're just getting really we're beginning to lose it 369 00:22:35,440 --> 00:22:39,200 Speaker 1: as a society here and it's it's now gone from 370 00:22:39,240 --> 00:22:42,679 Speaker 1: bad to worse, from bad to worse, etc. There is 371 00:22:42,880 --> 00:22:47,639 Speaker 1: a covert group of undercover operators of moms. It's a 372 00:22:47,720 --> 00:22:52,680 Speaker 1: network to expose indoctrination programs plaguing private schools across the country. 373 00:22:52,880 --> 00:22:55,439 Speaker 1: What they're doing is that they're taping what's going on 374 00:22:55,480 --> 00:22:57,919 Speaker 1: in a classroom. And guess what it's working. All right, 375 00:22:57,960 --> 00:23:01,000 Speaker 1: let's get to our busy phones. New York is next 376 00:23:01,040 --> 00:23:03,280 Speaker 1: on the Sean Hannity Show. Pat glad you called. All right, 377 00:23:03,320 --> 00:23:05,159 Speaker 1: mister Hanny, thanks for taking the call I was calling 378 00:23:05,200 --> 00:23:08,200 Speaker 1: regarding the removal of mass mandates and New York City 379 00:23:08,320 --> 00:23:13,200 Speaker 1: New York State schools. SoundBite I heard from Kathy Hokele 380 00:23:13,280 --> 00:23:15,919 Speaker 1: yesterday where she said, you know, basically, adults can make 381 00:23:15,920 --> 00:23:20,040 Speaker 1: their own decisions, but children need adults to help look 382 00:23:20,040 --> 00:23:22,239 Speaker 1: out for their health. I think she's one hundred percent right. 383 00:23:22,480 --> 00:23:25,000 Speaker 1: Children do need help from adults to look out. Yeah, 384 00:23:25,000 --> 00:23:28,199 Speaker 1: they're called mommy and daddy. Exactly exactly the point I 385 00:23:28,200 --> 00:23:30,960 Speaker 1: was going to make. And it shouldn't be politicians in 386 00:23:31,000 --> 00:23:34,119 Speaker 1: Albany or Washington that are making those decisions. You know, 387 00:23:34,160 --> 00:23:36,240 Speaker 1: I think if they really want to be concerned about 388 00:23:36,280 --> 00:23:39,280 Speaker 1: the health of children, they should look at what the 389 00:23:39,320 --> 00:23:42,240 Speaker 1: real need is, which is the staggering emotional and mental 390 00:23:42,240 --> 00:23:45,120 Speaker 1: health crisis that's affecting the children over the last two years. 391 00:23:45,760 --> 00:23:47,760 Speaker 1: I mean, we went over all the side effects. We've 392 00:23:47,800 --> 00:23:50,800 Speaker 1: gone through again. We're following the science, the science from 393 00:23:50,840 --> 00:23:55,480 Speaker 1: John Hopkins, and it has had a negative impact. All 394 00:23:55,520 --> 00:23:58,800 Speaker 1: of these draconian measures, shutdowns, mass etc. It's had no 395 00:23:58,880 --> 00:24:02,040 Speaker 1: impact on saving line, but a negative impact in every 396 00:24:02,119 --> 00:24:07,240 Speaker 1: other way in terms of people's mental health, especially kids 397 00:24:07,320 --> 00:24:10,560 Speaker 1: mental health. They can't even recognize their friends with these 398 00:24:10,680 --> 00:24:13,160 Speaker 1: mass plastered all over their face. We're crying out loud, 399 00:24:13,720 --> 00:24:16,240 Speaker 1: and they are. If we're looking at the science, the 400 00:24:16,320 --> 00:24:21,800 Speaker 1: least susceptible to any COVID related significant illness, and most 401 00:24:21,880 --> 00:24:24,080 Speaker 1: kids I know and parents that I know that have 402 00:24:24,240 --> 00:24:27,400 Speaker 1: kids whose kids have gotten COVID, it's like they get 403 00:24:27,400 --> 00:24:31,680 Speaker 1: the sniffles, you know. It's if you look at the numbers, 404 00:24:31,720 --> 00:24:36,840 Speaker 1: it's right on par with getting influenza with children. And 405 00:24:37,160 --> 00:24:39,600 Speaker 1: yet they're not following the science. They only follow the 406 00:24:39,680 --> 00:24:45,080 Speaker 1: science when convenient. Elena is a nurse in Florida. Elena, 407 00:24:45,160 --> 00:24:48,119 Speaker 1: how are you glad you called? Thank you so much 408 00:24:48,160 --> 00:24:51,280 Speaker 1: Sean for having me on. I just wanted to make 409 00:24:51,320 --> 00:24:54,639 Speaker 1: a comment. I called in yesterday actually and wanted to 410 00:24:56,400 --> 00:24:59,840 Speaker 1: just reinforce something that you had said talking to that 411 00:25:00,040 --> 00:25:05,119 Speaker 1: one trucker who you know is not sure what to do, 412 00:25:05,359 --> 00:25:08,040 Speaker 1: and I just wanted to say that you made a 413 00:25:08,080 --> 00:25:13,280 Speaker 1: comment about if they realized how much leverage they actually had, 414 00:25:13,960 --> 00:25:17,840 Speaker 1: And that is my basis for calling in today. I 415 00:25:17,920 --> 00:25:21,040 Speaker 1: have always believed I'm a nurse here in Jacksonville, Florida. 416 00:25:21,240 --> 00:25:23,440 Speaker 1: I actually work for one of the largest home health 417 00:25:23,480 --> 00:25:28,879 Speaker 1: companies here and we've been handling everything as business as usual. 418 00:25:29,320 --> 00:25:33,040 Speaker 1: But in December that they did try and mandate. You 419 00:25:33,080 --> 00:25:36,159 Speaker 1: know that we either do a religious exemption or we 420 00:25:36,240 --> 00:25:39,879 Speaker 1: get the shot. And you know, thankfully I have a 421 00:25:39,880 --> 00:25:42,200 Speaker 1: governor who stood up for us and said no, we're 422 00:25:42,280 --> 00:25:44,960 Speaker 1: not going to do this, and so I was lucky 423 00:25:45,040 --> 00:25:48,040 Speaker 1: enough to keep my job. And but you know, I 424 00:25:48,119 --> 00:25:50,760 Speaker 1: feel bad for people who live in areas whereas their 425 00:25:50,880 --> 00:25:54,120 Speaker 1: state representatives will not stand up for them. And as 426 00:25:54,160 --> 00:25:57,000 Speaker 1: a nurse, you know, I don't feel like it's right 427 00:25:57,280 --> 00:26:00,800 Speaker 1: for anybody to mandate because the evidence is not out there. 428 00:26:00,840 --> 00:26:04,080 Speaker 1: They're not giving informed consent, and so I just wanted 429 00:26:04,119 --> 00:26:09,159 Speaker 1: to reinforce and say to those truckers in Canada and 430 00:26:09,200 --> 00:26:11,640 Speaker 1: to the trucker of here that maybe sitting up When 431 00:26:11,640 --> 00:26:14,560 Speaker 1: we had that defeat the mandate in Washington, DC on 432 00:26:14,600 --> 00:26:17,320 Speaker 1: the twenty third January, I made a point even though 433 00:26:17,359 --> 00:26:20,600 Speaker 1: I don't have mandates here to drive up there. I 434 00:26:20,720 --> 00:26:24,080 Speaker 1: drove twenty two hours in a two day weekend to 435 00:26:24,280 --> 00:26:28,359 Speaker 1: be able to Marchen that to show support to others, 436 00:26:28,400 --> 00:26:31,439 Speaker 1: And I really feel if people would, you know, you 437 00:26:31,480 --> 00:26:35,360 Speaker 1: can't run hospitals without home health, you know, nurses. You know, 438 00:26:35,600 --> 00:26:39,760 Speaker 1: when the little people stop doing the jobs that all 439 00:26:39,800 --> 00:26:43,200 Speaker 1: these elite feel are beneath them. You know, if people 440 00:26:43,200 --> 00:26:46,600 Speaker 1: would stand together and realize us as the worker bees, 441 00:26:46,760 --> 00:26:50,679 Speaker 1: if we banded the power that we have. So I 442 00:26:50,720 --> 00:26:53,240 Speaker 1: just wanted to call in and just say I want 443 00:26:53,280 --> 00:26:55,600 Speaker 1: that one trucker and all the truckers to know that 444 00:26:55,640 --> 00:26:59,879 Speaker 1: there are so many people out here that are so supportive. 445 00:27:00,280 --> 00:27:03,560 Speaker 1: Because if you have that one person who's willing to 446 00:27:03,800 --> 00:27:07,639 Speaker 1: stand up no matter what the financial consequence may be, 447 00:27:08,880 --> 00:27:12,119 Speaker 1: that's strange. You know, the land of the free, in 448 00:27:12,160 --> 00:27:15,000 Speaker 1: the home of the brave. It takes brave people to 449 00:27:15,080 --> 00:27:18,560 Speaker 1: stand up when it's not politically correct and stand up 450 00:27:18,560 --> 00:27:21,320 Speaker 1: for themselves no matter what. These truckers that are in 451 00:27:21,560 --> 00:27:25,200 Speaker 1: you know, Canada, the media makes them seem like they're 452 00:27:25,680 --> 00:27:31,080 Speaker 1: you know, they're racist and they're causing troubles the media, 453 00:27:31,160 --> 00:27:34,120 Speaker 1: and that's just in Trudeau. And there's no evidence at 454 00:27:34,160 --> 00:27:39,640 Speaker 1: all whatsoever that that's true. And I agree one hundred 455 00:27:39,640 --> 00:27:41,520 Speaker 1: percent with that. And I will tell you when I 456 00:27:41,520 --> 00:27:44,320 Speaker 1: went up to the Mandate march on Mandate in Washington, 457 00:27:44,880 --> 00:27:50,440 Speaker 1: everything that was reported it wasn't against vaccines. I've promoted vaccines. 458 00:27:50,480 --> 00:27:54,719 Speaker 1: All my children have had vaccine. It is this particular vaccine, 459 00:27:55,080 --> 00:27:58,639 Speaker 1: but it's against somebody else telling me I have to 460 00:27:58,680 --> 00:28:01,600 Speaker 1: put something in my body. And then the media did 461 00:28:02,000 --> 00:28:05,439 Speaker 1: portray it as we were an anti BACS movement. So 462 00:28:05,520 --> 00:28:09,399 Speaker 1: I just listen. I really feel the worst for people 463 00:28:09,440 --> 00:28:13,080 Speaker 1: like you and other hospital workers because in the middle 464 00:28:13,119 --> 00:28:16,800 Speaker 1: of this, you know the worst of this, you're diving 465 00:28:16,880 --> 00:28:19,560 Speaker 1: on COVID grenades every day and you're working in a 466 00:28:19,600 --> 00:28:22,880 Speaker 1: COVID petrie dish. If you didn't get it, you don't 467 00:28:22,920 --> 00:28:25,639 Speaker 1: have to disclose to me. I believe in confidentiality on 468 00:28:26,200 --> 00:28:29,560 Speaker 1: medical issues only if you want to. But every everybody 469 00:28:29,640 --> 00:28:32,000 Speaker 1: that I know that worked in a hospital got it, 470 00:28:32,359 --> 00:28:35,199 Speaker 1: every one of them, they all ended up getting it. 471 00:28:35,359 --> 00:28:38,040 Speaker 1: I'm sorry I did not get it when it originally 472 00:28:38,080 --> 00:28:40,680 Speaker 1: came through. But I will tell you this. I had 473 00:28:40,720 --> 00:28:43,280 Speaker 1: a fifty year old sister. Her name is Tracy Bowers. 474 00:28:43,320 --> 00:28:47,440 Speaker 1: She's a beautiful, wonderful person, and she died last August 475 00:28:47,600 --> 00:28:51,800 Speaker 1: fourteenth of COVID. She went to an r four days 476 00:28:51,840 --> 00:28:55,320 Speaker 1: before she died, and they did nothing for her. They 477 00:28:55,320 --> 00:28:57,600 Speaker 1: didn't do a chess dex ray on her. They didn't 478 00:28:57,600 --> 00:29:02,040 Speaker 1: do anything. And there is documentary on the CDC websites 479 00:29:02,160 --> 00:29:05,480 Speaker 1: that show iver met and showed promise and they knew it. 480 00:29:05,800 --> 00:29:08,600 Speaker 1: As of April and May and June of last year, 481 00:29:09,160 --> 00:29:13,040 Speaker 1: my sister was sent home to die and nobody cared. 482 00:29:13,040 --> 00:29:15,760 Speaker 1: And it wasn't because of COVID. It was because of 483 00:29:15,920 --> 00:29:20,120 Speaker 1: she got terrible healthcare, she got little to no education, 484 00:29:20,640 --> 00:29:24,240 Speaker 1: and four days prior and then the doctor who was 485 00:29:24,240 --> 00:29:26,880 Speaker 1: floating a guidecologist in the e hour trying to get 486 00:29:26,920 --> 00:29:30,400 Speaker 1: up some extra hours wouldn't even sign her death certificate. 487 00:29:31,000 --> 00:29:35,760 Speaker 1: She sat in a cold storage for six weeks, oh gosh, 488 00:29:35,840 --> 00:29:39,280 Speaker 1: because nobody would sign off that you know, this is 489 00:29:39,320 --> 00:29:42,800 Speaker 1: what we're doing, and the people that make these I 490 00:29:42,840 --> 00:29:45,440 Speaker 1: had a police officer that stood in my home, my 491 00:29:45,520 --> 00:29:48,560 Speaker 1: mother's home for two hours and would not allow us 492 00:29:48,560 --> 00:29:51,480 Speaker 1: to even walk into my sister's bedroom, even though I 493 00:29:51,520 --> 00:29:53,160 Speaker 1: looked at him and said, listen, I'm a nurse, and 494 00:29:53,200 --> 00:29:55,920 Speaker 1: I understand that you're worried about COVID, but at this 495 00:29:55,960 --> 00:29:59,600 Speaker 1: point she's not even breathing. I listen. I understand the 496 00:29:59,600 --> 00:30:03,640 Speaker 1: hospital were overwhelmed. I understand. You know, at some point, 497 00:30:03,680 --> 00:30:07,880 Speaker 1: the patients on ventilators, for example, their problem isn't COVID anymore. 498 00:30:08,080 --> 00:30:11,000 Speaker 1: COVID has long since come and gone left left in 499 00:30:11,040 --> 00:30:14,400 Speaker 1: its wake the damage to the lungs known as COVID 500 00:30:14,440 --> 00:30:18,360 Speaker 1: pneumonia or COVID lung etc. Which if you're forced on 501 00:30:18,400 --> 00:30:21,040 Speaker 1: a ventilator, it ain't good. I have I do know 502 00:30:21,120 --> 00:30:24,320 Speaker 1: people that have gotten off them successfully and have thrived, 503 00:30:25,120 --> 00:30:29,040 Speaker 1: but it's not the majority. I can It's just sad 504 00:30:29,640 --> 00:30:32,680 Speaker 1: that the heroes of this pandemic, people like yourself, people 505 00:30:32,720 --> 00:30:36,400 Speaker 1: that you work with, the truckers that trucked, the packers 506 00:30:36,400 --> 00:30:39,000 Speaker 1: that packed, the farmers that farmed, the people that made 507 00:30:39,040 --> 00:30:41,560 Speaker 1: all the medical equipment that we needed, all the PPEE, 508 00:30:42,120 --> 00:30:44,240 Speaker 1: now all of a sudden of the enemy, and now 509 00:30:44,280 --> 00:30:47,800 Speaker 1: their punitive measures taken against them. I can't think of 510 00:30:47,840 --> 00:30:54,200 Speaker 1: anything more wrong or absolutely outrageous. Hey, thanks for all. Yeah, 511 00:30:54,320 --> 00:30:57,240 Speaker 1: thanks for diving on those COVID grenades. By the way, 512 00:30:57,640 --> 00:31:00,080 Speaker 1: if it was my job, hell, I wouldn't want to 513 00:31:00,080 --> 00:31:01,840 Speaker 1: do that every day. So I have in a COVID 514 00:31:01,920 --> 00:31:05,320 Speaker 1: grenade because as a nurse, you don't only carry your 515 00:31:05,320 --> 00:31:09,560 Speaker 1: own you know, scares and fears and you take get 516 00:31:09,560 --> 00:31:13,360 Speaker 1: it said, I gotta, I gotta run up on a 517 00:31:13,400 --> 00:31:15,719 Speaker 1: hard break here eight hundred nine four one, Sean, if 518 00:31:15,720 --> 00:31:17,040 Speaker 1: you want to be a part of the program, the 519 00:31:17,160 --> 00:31:20,920 Speaker 1: voice of this program, the Sean Hannity Radio Show, Scott Shannon, 520 00:31:21,000 --> 00:31:22,840 Speaker 1: is going to join us. You're gonna love this segment.