1 00:00:01,080 --> 00:00:02,960 Speaker 1: All right, I've got some new updates for you on 2 00:00:03,000 --> 00:00:04,920 Speaker 1: some pulling down of the deals with Donald Trump and 3 00:00:05,040 --> 00:00:07,520 Speaker 1: Hunter Biden and the Biden crime family and what this 4 00:00:07,600 --> 00:00:09,320 Speaker 1: means to the presidential I'm going to give that to 5 00:00:09,320 --> 00:00:12,880 Speaker 1: you in a moment, but before that, medical experts are 6 00:00:12,920 --> 00:00:17,000 Speaker 1: now warning, yes, a new warning. There is an EG 7 00:00:17,239 --> 00:00:23,040 Speaker 1: point five variant that has COVID cases rising just in 8 00:00:23,160 --> 00:00:25,480 Speaker 1: time for the fall, folks. They're trying to scare the 9 00:00:25,520 --> 00:00:28,280 Speaker 1: living crap out of you again to hurry up and 10 00:00:28,360 --> 00:00:34,120 Speaker 1: go get your booster. This new headline, a dominant COVID 11 00:00:34,159 --> 00:00:36,479 Speaker 1: variant has led to the rise in new cases. We're 12 00:00:36,479 --> 00:00:38,960 Speaker 1: seeing a spike in the amount of cases. The chief 13 00:00:39,000 --> 00:00:41,640 Speaker 1: medical officer for Baptist Health said so quote in the 14 00:00:41,720 --> 00:00:44,800 Speaker 1: last couple of weeks throughout the state of Florida and 15 00:00:44,800 --> 00:00:48,680 Speaker 1: throughout the Baptist healthcare system, we see have seen a rise. 16 00:00:49,280 --> 00:00:52,600 Speaker 1: It seems like this new COVID is quote rather contagious. 17 00:00:52,640 --> 00:00:56,440 Speaker 1: It is causing a spike in hospitalizations. That's all you 18 00:00:56,560 --> 00:00:59,000 Speaker 1: need for them to now come out with the other 19 00:00:59,080 --> 00:01:01,800 Speaker 1: headlines what happens because of that one. Here you go 20 00:01:02,800 --> 00:01:07,080 Speaker 1: COVID vaccine USA Today headline from today choosing where to 21 00:01:07,120 --> 00:01:10,680 Speaker 1: get your shot matters, study suggests, especially for children as 22 00:01:10,720 --> 00:01:14,480 Speaker 1: they head back to school. Another one summer COVID cases 23 00:01:14,520 --> 00:01:18,080 Speaker 1: are rising and here's where and why. It's actually more 24 00:01:18,120 --> 00:01:21,400 Speaker 1: of the hotter states in America. Medical experts are offering 25 00:01:21,440 --> 00:01:24,600 Speaker 1: major warnings now. Another headline reads as the EG point 26 00:01:24,640 --> 00:01:28,800 Speaker 1: five variant has COVID cases rising, and then from just 27 00:01:28,959 --> 00:01:32,000 Speaker 1: one hour ago, doctor Sanjay Goop to on CEN and 28 00:01:32,040 --> 00:01:36,039 Speaker 1: explains why you should do it now, Why you should 29 00:01:36,040 --> 00:01:40,080 Speaker 1: do it now and get the COVID shot right now. 30 00:01:40,240 --> 00:01:43,640 Speaker 1: Don't wait, America, because if you do, you know how 31 00:01:43,640 --> 00:01:46,640 Speaker 1: this plays out, You're probably going to die right and 32 00:01:46,680 --> 00:01:48,760 Speaker 1: you're gonna kill Grandma. You might not get to go 33 00:01:48,800 --> 00:01:52,480 Speaker 1: to Christmas or Thanksgiving or family gatherings. We might shut 34 00:01:52,520 --> 00:01:55,480 Speaker 1: down the entire United States of America all over again 35 00:01:55,520 --> 00:01:59,040 Speaker 1: to gain power over you and to shut down our economy. 36 00:01:59,440 --> 00:02:01,440 Speaker 1: That is where where are they're taking us back to 37 00:02:01,720 --> 00:02:03,800 Speaker 1: I'm warning you, that's where they're taking us back to 38 00:02:03,800 --> 00:02:06,200 Speaker 1: you right now, because this is how they gain control 39 00:02:06,720 --> 00:02:10,440 Speaker 1: before an election is going to take place next year. 40 00:02:10,960 --> 00:02:14,000 Speaker 1: Listening carefully to sign Jay goopta warning you what you 41 00:02:14,120 --> 00:02:14,720 Speaker 1: must do now. 42 00:02:14,800 --> 00:02:17,520 Speaker 2: It's changed as well probably over the past several months. 43 00:02:17,880 --> 00:02:20,800 Speaker 2: First of all, if you're sick, no matter what, you 44 00:02:20,800 --> 00:02:23,680 Speaker 2: should stay home. I think that even before the pandemic, 45 00:02:24,120 --> 00:02:27,440 Speaker 2: that was the advice. That was the recommendation that holds 46 00:02:27,480 --> 00:02:32,760 Speaker 2: true if you test positive. What the recommendations are now 47 00:02:32,919 --> 00:02:36,560 Speaker 2: is that for five days you should isolate. Now one 48 00:02:36,600 --> 00:02:39,240 Speaker 2: caveat there is let's say you had symptoms and then 49 00:02:39,280 --> 00:02:42,600 Speaker 2: you didn't test, actually test yourself until day two or three. 50 00:02:43,200 --> 00:02:46,280 Speaker 2: The isolation period actually begins at the time you first 51 00:02:46,320 --> 00:02:50,000 Speaker 2: had symptoms, so you know, the day after you first 52 00:02:50,000 --> 00:02:53,959 Speaker 2: developed symptoms, that's day one of isolation, and so forth. 53 00:02:54,760 --> 00:02:57,240 Speaker 2: If you don't have to test, but if you want 54 00:02:57,240 --> 00:03:00,360 Speaker 2: to test two tests in a row negative tests, if 55 00:03:00,400 --> 00:03:02,720 Speaker 2: you're not having any more symptoms, that can get you 56 00:03:02,760 --> 00:03:06,000 Speaker 2: out of isolation. No recommendations on mask wearing either at 57 00:03:06,040 --> 00:03:08,720 Speaker 2: that point if you have those two negative tests. So 58 00:03:08,760 --> 00:03:12,000 Speaker 2: it's a little confusing, but bottom line advice stay home 59 00:03:12,040 --> 00:03:14,600 Speaker 2: if you're sick, and think about sort of five days 60 00:03:14,600 --> 00:03:18,400 Speaker 2: of isolation from the beginning of symptoms for US and SAJI. 61 00:03:18,440 --> 00:03:20,400 Speaker 3: What about vaccinations, what are they going to look like 62 00:03:20,400 --> 00:03:20,840 Speaker 3: this fall? 63 00:03:22,280 --> 00:03:26,040 Speaker 4: Oh, vaccinations get ready right where they look like this 64 00:03:26,040 --> 00:03:27,480 Speaker 4: this fall. Now, before you. 65 00:03:27,440 --> 00:03:29,000 Speaker 1: Get to that, we want to take a quick moment 66 00:03:29,040 --> 00:03:31,639 Speaker 1: to tell you about our good friends at COVID tax 67 00:03:31,720 --> 00:03:35,360 Speaker 1: Relief dot Org. Look, you did the tough thing during COVID. 68 00:03:35,560 --> 00:03:38,840 Speaker 1: You paid your people and pulled your business through the pandemic. 69 00:03:39,240 --> 00:03:41,920 Speaker 1: And now doing the tough thing could qualify you for 70 00:03:42,040 --> 00:03:46,920 Speaker 1: a twenty six thousand dollars per employee at COVID tax 71 00:03:47,000 --> 00:03:51,000 Speaker 1: Relief dot Org. Government funds are available to reward companies 72 00:03:51,040 --> 00:03:54,520 Speaker 1: with two or more employees who stayed open during COVID. 73 00:03:54,960 --> 00:03:58,080 Speaker 1: This is not a loan and you don't have to 74 00:03:58,120 --> 00:04:01,600 Speaker 1: pay it back. Look, this program as complicated, but nobody 75 00:04:01,600 --> 00:04:03,800 Speaker 1: knows more about it than the cpa is and tax 76 00:04:03,840 --> 00:04:07,520 Speaker 1: experts at Consumer Tax Advocates. The best part is you 77 00:04:07,520 --> 00:04:10,400 Speaker 1: pay nothing upfront, They do all the work, and then 78 00:04:10,440 --> 00:04:13,680 Speaker 1: they share percentage of cash that you get. Businesses of 79 00:04:13,720 --> 00:04:17,400 Speaker 1: all types, including nonprofits and churches can qualify, including those 80 00:04:17,480 --> 00:04:22,040 Speaker 1: who took PBP loans. Even if you had increases in sales. 81 00:04:22,560 --> 00:04:25,000 Speaker 1: You did the tough thing for your employees during COVID. 82 00:04:25,160 --> 00:04:29,160 Speaker 1: Let COVID tax Relief dot Org help get you up 83 00:04:29,160 --> 00:04:32,839 Speaker 1: to twenty six thousand dollars per employee. Visit COVID tax 84 00:04:32,880 --> 00:04:37,120 Speaker 1: Relief dot Org. That's COVID tax Relief dot Org. COVID 85 00:04:37,400 --> 00:04:41,200 Speaker 1: tax Relief dot Org. Now they also have on the 86 00:04:41,360 --> 00:04:44,479 Speaker 1: on the screen day six to ten wear a mask 87 00:04:44,520 --> 00:04:47,000 Speaker 1: unless two negative tests are forty eight hours apart. Day 88 00:04:47,040 --> 00:04:50,400 Speaker 1: six plus can in isolation of symptoms improve. But we're 89 00:04:50,440 --> 00:04:53,239 Speaker 1: going back to isolation, and then we're going back to masking. 90 00:04:53,600 --> 00:04:55,920 Speaker 1: And then now we come in with the over the top. 91 00:04:56,080 --> 00:04:58,480 Speaker 1: This is why you must get vaccino America because if 92 00:04:58,480 --> 00:05:01,320 Speaker 1: you don't, you're gonna kill Grandma at Christmas time. 93 00:05:01,600 --> 00:05:04,240 Speaker 2: So, you know, you talk about this this triple threat, 94 00:05:04,360 --> 00:05:07,000 Speaker 2: and you know, flu is something we've talked about every 95 00:05:07,400 --> 00:05:11,160 Speaker 2: season obviously COVID now and then add RSV into the 96 00:05:11,200 --> 00:05:14,960 Speaker 2: mix sort of look at it like this for flu. 97 00:05:15,320 --> 00:05:17,560 Speaker 2: You know, before Halloween is when you should think about 98 00:05:17,560 --> 00:05:22,680 Speaker 2: getting your vaccine COVID. A new booster is expected sometime 99 00:05:22,839 --> 00:05:26,640 Speaker 2: probably near the end of September. That new booster is 100 00:05:26,680 --> 00:05:29,840 Speaker 2: going to better target some of the more dominant strains. 101 00:05:30,040 --> 00:05:33,039 Speaker 2: The most dominant strain right now known as EG five. 102 00:05:33,640 --> 00:05:37,240 Speaker 2: This booster doesn't specifically target that, but it targets another 103 00:05:37,320 --> 00:05:39,760 Speaker 2: strain which is pretty similar, So should offer you some 104 00:05:39,800 --> 00:05:44,400 Speaker 2: protection with regard to RSV. You know, if you're high 105 00:05:44,480 --> 00:05:47,400 Speaker 2: risk for some reason, there's you talk to your doctor 106 00:05:47,440 --> 00:05:50,320 Speaker 2: about that. But there's gonna be certain populations for which 107 00:05:50,400 --> 00:05:53,839 Speaker 2: RSV is going to be recommended. Specifically people are high risk, 108 00:05:54,040 --> 00:05:56,640 Speaker 2: for example, because of age or because of some pre 109 00:05:56,720 --> 00:05:57,520 Speaker 2: existing condition. 110 00:05:58,080 --> 00:06:01,680 Speaker 1: So COVID's back, right. They got it all right, didn't they. 111 00:06:01,839 --> 00:06:04,040 Speaker 1: They didn't screw up anything the last time. Why would 112 00:06:04,040 --> 00:06:05,720 Speaker 1: they screw it up this time? Now as this is 113 00:06:05,760 --> 00:06:08,560 Speaker 1: coming out and telling you got to hurry up and 114 00:06:08,560 --> 00:06:10,960 Speaker 1: get that shot right, get back, say get that booster 115 00:06:11,200 --> 00:06:17,599 Speaker 1: to must there's another headline, among those spreading medical misinformation 116 00:06:17,760 --> 00:06:20,120 Speaker 1: which is different than disinformation. 117 00:06:20,960 --> 00:06:21,640 Speaker 4: How do I know that? 118 00:06:21,720 --> 00:06:27,200 Speaker 1: Because the author of this new study specifically refers to misinformation, 119 00:06:27,480 --> 00:06:32,360 Speaker 1: which is inaccurate information, rather than disinformation, which is deliberately 120 00:06:32,400 --> 00:06:36,000 Speaker 1: misleading information. Because researchers, they say, do not try to 121 00:06:36,040 --> 00:06:40,200 Speaker 1: determine the motives of the medical professionals that were spreading 122 00:06:41,040 --> 00:06:45,280 Speaker 1: disinformation or I guess misinformation. But what they now have 123 00:06:45,520 --> 00:06:50,400 Speaker 1: is a kill your career list. With this new article 124 00:06:50,480 --> 00:06:54,520 Speaker 1: that's come out, it says among those spreading medical spreading 125 00:06:54,560 --> 00:06:59,080 Speaker 1: medical misinformation during the pandemic. Here's fifty two doctors. They're 126 00:06:59,120 --> 00:07:04,800 Speaker 1: warning you up right. Medical misinformation swirled, the article says, 127 00:07:04,800 --> 00:07:07,320 Speaker 1: across social media during the pandemic, but some of it 128 00:07:07,400 --> 00:07:09,440 Speaker 1: was in a class of its own. It came from 129 00:07:09,440 --> 00:07:12,960 Speaker 1: medical doctors. Doctors, of course, are just as human and 130 00:07:13,200 --> 00:07:15,760 Speaker 1: error prone as everyone else. But because they spend year 131 00:07:15,800 --> 00:07:18,880 Speaker 1: studying science and how the body works, presumably they know 132 00:07:18,960 --> 00:07:21,880 Speaker 1: more than average, more than the average about how to 133 00:07:21,920 --> 00:07:25,800 Speaker 1: interpret medical information. So why were they sending out stuff 134 00:07:25,800 --> 00:07:30,160 Speaker 1: that wasn't true? The article states, Now, a new study 135 00:07:30,200 --> 00:07:33,480 Speaker 1: can't answer that question. They're admitting that with total or 136 00:07:33,520 --> 00:07:37,280 Speaker 1: any certainty, but it does try to quote quantify how 137 00:07:37,280 --> 00:07:41,680 Speaker 1: many doctors were misleading the public, where they came from, 138 00:07:41,800 --> 00:07:46,920 Speaker 1: and what their specialties were. Most surprising, perhaps, is that 139 00:07:47,000 --> 00:07:49,400 Speaker 1: there were only fifty two of them found in a 140 00:07:50,000 --> 00:07:54,880 Speaker 1: fairly exhaustive search of social media sites. The new study says, 141 00:07:55,640 --> 00:07:59,160 Speaker 1: this was actually comforting to see that they didn't find more. 142 00:07:59,840 --> 00:08:02,920 Speaker 1: The chief of the Department of Life Science is Communication 143 00:08:03,040 --> 00:08:06,240 Speaker 1: at the University Wisconsin Madison, who was not involved in 144 00:08:06,240 --> 00:08:10,120 Speaker 1: the new studies, said about this medical misinformation, there's roughly 145 00:08:10,160 --> 00:08:13,600 Speaker 1: one million Americans that hold medical licenses in the United States, 146 00:08:13,680 --> 00:08:16,400 Speaker 1: So fifty two is a tiny fraction of the total. 147 00:08:16,960 --> 00:08:20,480 Speaker 1: It's not clear how far the misinformation spread, but once 148 00:08:20,600 --> 00:08:23,360 Speaker 1: false impressions take hold, it can be very hard to 149 00:08:23,440 --> 00:08:27,680 Speaker 1: change them. That's what the John Roberts, who conducted the 150 00:08:27,720 --> 00:08:31,240 Speaker 1: research on health misinformation the School of Information at the 151 00:08:31,320 --> 00:08:35,480 Speaker 1: University of Texas Austin, said. They say misinformation did come 152 00:08:35,520 --> 00:08:38,839 Speaker 1: from doctors, and it can come from doctors and can 153 00:08:38,840 --> 00:08:42,720 Speaker 1: particularly be damaging. And he and the other researcher said, 154 00:08:42,760 --> 00:08:47,120 Speaker 1: because the trust associated with medical credentials, even if another 155 00:08:47,160 --> 00:08:51,280 Speaker 1: doctor corrects the misinformation, people will get confused about who 156 00:08:51,320 --> 00:08:54,400 Speaker 1: to believe what to believe in the profession. 157 00:08:54,640 --> 00:08:55,520 Speaker 4: Then it suffers. 158 00:08:55,559 --> 00:08:59,240 Speaker 1: They went on to say, now what the fifty two said, 159 00:08:59,360 --> 00:09:02,320 Speaker 1: this is again, this informative study decided to go after 160 00:09:02,480 --> 00:09:05,560 Speaker 1: only doctors that said things that they disagreed with, and 161 00:09:05,600 --> 00:09:08,520 Speaker 1: this is how you ruin someone's career. According to the 162 00:09:08,520 --> 00:09:11,560 Speaker 1: new study, they said, most of fifty two doctors on 163 00:09:11,640 --> 00:09:15,320 Speaker 1: their kill lists now send out information that was false 164 00:09:15,440 --> 00:09:19,480 Speaker 1: or misleading about COVID nineteen vaccine safety and effectiveness, despite 165 00:09:19,559 --> 00:09:22,480 Speaker 1: tens of millions of doses being delivered safely worldwide and 166 00:09:22,520 --> 00:09:28,000 Speaker 1: millions of lives confirmed saved, or promoted treatment that lacks 167 00:09:28,040 --> 00:09:32,320 Speaker 1: scientific scientific evidence. They are now on the kill their 168 00:09:32,400 --> 00:09:37,000 Speaker 1: career list. A few disputed the effectiveness of the of 169 00:09:37,040 --> 00:09:40,839 Speaker 1: wearing masks, which aren't perfect, but are far better at 170 00:09:40,840 --> 00:09:45,080 Speaker 1: preventing infections than wearing nothing, particularly when your high quality 171 00:09:45,240 --> 00:09:48,120 Speaker 1: masks are being worn and they're well fitted. Some others 172 00:09:48,160 --> 00:09:52,440 Speaker 1: promoted unsubstantiated claims or conspiracy theories about the government or 173 00:09:53,120 --> 00:09:59,040 Speaker 1: the origins of the stars COVID to virus. This kind 174 00:09:59,080 --> 00:10:02,840 Speaker 1: of information causes quote, real harm to people who suffered 175 00:10:02,960 --> 00:10:06,200 Speaker 1: or died unnecessarily, as well as the people who lost 176 00:10:06,240 --> 00:10:10,040 Speaker 1: their faith in science when presented with misinformation about vaccines 177 00:10:10,440 --> 00:10:16,120 Speaker 1: and drug development. That's what the papers senior author, doctor 178 00:10:16,200 --> 00:10:17,319 Speaker 1: golf said. 179 00:10:17,040 --> 00:10:17,840 Speaker 4: In a statement. 180 00:10:19,360 --> 00:10:24,400 Speaker 1: The author of this doctor Sarah Goff, is the papers 181 00:10:24,440 --> 00:10:29,600 Speaker 1: senior author. She said, it was a concern about potential 182 00:10:29,640 --> 00:10:32,839 Speaker 1: harm that really prompted me to get my students engaged 183 00:10:32,880 --> 00:10:35,760 Speaker 1: in this study. She's a primary care doctor in health 184 00:10:35,760 --> 00:10:39,520 Speaker 1: services research at the University of Massachusetts Amherst. Although a 185 00:10:39,559 --> 00:10:41,920 Speaker 1: small percentage of people might not be able to take 186 00:10:42,000 --> 00:10:45,400 Speaker 1: vaccines or have a bad reaction to a shot, there 187 00:10:45,480 --> 00:10:48,560 Speaker 1: is no debate about the safety of vaccines at a 188 00:10:48,760 --> 00:10:49,880 Speaker 1: population level. 189 00:10:50,520 --> 00:10:51,880 Speaker 4: Okay, that's not true. 190 00:10:52,040 --> 00:10:54,640 Speaker 1: There is absolutely And the fact that this doctor is 191 00:10:54,679 --> 00:10:57,000 Speaker 1: saying there can be no debate, right, she's saying there 192 00:10:57,040 --> 00:10:59,920 Speaker 1: is no debate, that should tell you just how so 193 00:11:00,160 --> 00:11:02,880 Speaker 1: ko she is as a doctor. The idea that I 194 00:11:02,920 --> 00:11:05,880 Speaker 1: can't have a debate with you when there are healthy 195 00:11:06,000 --> 00:11:09,200 Speaker 1: people that are dropping dead from heart attacks and there 196 00:11:09,240 --> 00:11:11,959 Speaker 1: are people that are now saying that the booster vaccine 197 00:11:11,960 --> 00:11:16,240 Speaker 1: only gives you weeks of protection at best, and then 198 00:11:16,280 --> 00:11:18,720 Speaker 1: you say we can't have a debate. Saying there is 199 00:11:18,760 --> 00:11:22,080 Speaker 1: no debate tells me that you are nothing but a 200 00:11:22,120 --> 00:11:25,360 Speaker 1: bigot towards anyone that disagrees with what you demand we 201 00:11:25,520 --> 00:11:31,000 Speaker 1: believe and or teach. That's wrong. That's not a great 202 00:11:31,040 --> 00:11:35,280 Speaker 1: exchange of ideas. Quote, we use the scientific standards. At 203 00:11:35,280 --> 00:11:37,040 Speaker 1: the time we were looking at golf. 204 00:11:37,120 --> 00:11:38,040 Speaker 4: Said if you. 205 00:11:37,960 --> 00:11:41,640 Speaker 1: Don't trust science and you don't trust the CDC, you 206 00:11:41,679 --> 00:11:42,679 Speaker 1: won't trust that. 207 00:11:42,760 --> 00:11:45,679 Speaker 4: It's misinformation. Okay, So let's talk about this. 208 00:11:45,760 --> 00:11:47,960 Speaker 1: She's now saying, you got a pledge allegiance to the CDC, 209 00:11:48,400 --> 00:11:52,800 Speaker 1: So let's talk about the CDC. Let's go back and 210 00:11:53,280 --> 00:11:56,520 Speaker 1: let me just remind you of the retrospect of what 211 00:11:56,559 --> 00:11:59,400 Speaker 1: the CDC was saying. In fact, let's just talk about 212 00:11:59,640 --> 00:12:03,319 Speaker 1: mass and kids, because now they're talking about mass and 213 00:12:03,400 --> 00:12:06,360 Speaker 1: schools are going back in for kids. We know that 214 00:12:06,520 --> 00:12:09,240 Speaker 1: back to school was a disaster with these kids with masks. 215 00:12:09,280 --> 00:12:09,800 Speaker 4: I believe it. 216 00:12:09,760 --> 00:12:12,200 Speaker 1: It was a form of child abuse, and yet the 217 00:12:12,240 --> 00:12:15,480 Speaker 1: CDC recommended all along. Now, let's remind you how wrong 218 00:12:15,559 --> 00:12:18,120 Speaker 1: the media was on mask and how much those psychos 219 00:12:18,160 --> 00:12:20,880 Speaker 1: in the media and the medical community demanded that you 220 00:12:20,920 --> 00:12:23,640 Speaker 1: mask up your kids, even kicked small babies off of 221 00:12:23,720 --> 00:12:25,520 Speaker 1: airplanes for not wearing them. 222 00:12:25,679 --> 00:12:28,480 Speaker 3: A really striking comment that you made in this interview. 223 00:12:28,480 --> 00:12:30,800 Speaker 3: You said, from a broad public health standpoint, and I'm 224 00:12:30,840 --> 00:12:34,120 Speaker 3: quoting you, now, at the population level, masks work at 225 00:12:34,120 --> 00:12:36,720 Speaker 3: the margins maybe ten percent. 226 00:12:37,559 --> 00:12:40,920 Speaker 1: By the way, that was doctor Fauci's own words from 227 00:12:41,000 --> 00:12:44,160 Speaker 1: earlier this year when he was saying from abroad, I'm 228 00:12:44,160 --> 00:12:45,600 Speaker 1: going to read the quote to you. Okay, this is 229 00:12:45,640 --> 00:12:49,320 Speaker 1: doctor Fauci looking back. Something clearly went wrong. It was 230 00:12:49,360 --> 00:12:51,120 Speaker 1: the title of the article for the New York Times. 231 00:12:51,200 --> 00:12:55,240 Speaker 1: He said, from a broad public health standpoint, the population level, 232 00:12:56,080 --> 00:13:00,360 Speaker 1: mask work at the margins maybe ten percent. So he's 233 00:13:00,400 --> 00:13:03,560 Speaker 1: saying that the CDC got it wrong. That's what he's 234 00:13:03,640 --> 00:13:07,680 Speaker 1: just said. So what did what did he say before that? Well, 235 00:13:08,360 --> 00:13:11,200 Speaker 1: listen to Faunci in his own words before April the 236 00:13:11,240 --> 00:13:13,720 Speaker 1: twenty six, and again, I go back this article. You 237 00:13:13,840 --> 00:13:17,000 Speaker 1: listen to this article that was put out today, and 238 00:13:17,040 --> 00:13:20,560 Speaker 1: it said, we use the scientific standards at the time 239 00:13:20,600 --> 00:13:23,360 Speaker 1: we were looking at If you don't trust science, you 240 00:13:23,360 --> 00:13:25,160 Speaker 1: don't trust the CDC, you won't trust that. 241 00:13:25,240 --> 00:13:26,200 Speaker 4: It's misinformation. 242 00:13:26,679 --> 00:13:30,000 Speaker 1: So she's already saying in this article, the premise is 243 00:13:30,320 --> 00:13:34,600 Speaker 1: that the CDC always got it right. Doctor Fauci admits 244 00:13:34,640 --> 00:13:37,599 Speaker 1: that they got it wrong on masking and the effectiveness 245 00:13:37,600 --> 00:13:41,080 Speaker 1: of masking. They're admitting they got it wrong. So again, 246 00:13:41,559 --> 00:13:45,560 Speaker 1: listen to Fauci in his own words from years before 247 00:13:45,800 --> 00:13:49,719 Speaker 1: constant montage and the media demanding that mask work, even 248 00:13:49,720 --> 00:13:51,480 Speaker 1: though he said on April the twenty six of this 249 00:13:51,640 --> 00:13:54,040 Speaker 1: year that they were barely working at maybe a margin 250 00:13:54,080 --> 00:13:56,520 Speaker 1: of ten percent, meaning ninety percent of the time they 251 00:13:56,520 --> 00:13:57,120 Speaker 1: weren't working. 252 00:13:57,480 --> 00:14:01,000 Speaker 3: Masks work at the margins maybe ten percent. 253 00:14:01,200 --> 00:14:03,680 Speaker 4: In the schools, everybody should wear a mask. 254 00:14:03,800 --> 00:14:07,280 Speaker 5: It's asking kids to wear a mask is uncomfortable, but 255 00:14:07,360 --> 00:14:08,720 Speaker 5: you know, kids are pretty resilient. 256 00:14:08,960 --> 00:14:11,840 Speaker 6: Kids are resilient and if anything, this is going to 257 00:14:11,920 --> 00:14:13,440 Speaker 6: build resilience in our children. 258 00:14:13,559 --> 00:14:17,319 Speaker 7: What does have long term psychological effects on young kids? 259 00:14:17,360 --> 00:14:20,440 Speaker 4: Do you think? I don't think so. I think in 260 00:14:20,480 --> 00:14:21,240 Speaker 4: fact it's good. 261 00:14:21,520 --> 00:14:25,120 Speaker 8: Masking is very important, particularly in the schools. 262 00:14:25,240 --> 00:14:27,920 Speaker 4: Masks are safe, masks, new works. 263 00:14:28,040 --> 00:14:29,080 Speaker 6: I have a nine year old. 264 00:14:29,400 --> 00:14:31,640 Speaker 9: He tolerates masks for everything. 265 00:14:32,000 --> 00:14:34,080 Speaker 10: I don't hear him mine, just like I don't hear 266 00:14:34,160 --> 00:14:36,560 Speaker 10: him mine about his seatbelt or his bike helmet. 267 00:14:36,720 --> 00:14:39,280 Speaker 11: Children have no problem with what is going on. They 268 00:14:39,400 --> 00:14:43,240 Speaker 11: want to deal sensibly by way of the science. With COVID, 269 00:14:43,520 --> 00:14:47,520 Speaker 11: they've said, we have no difficulty with students wearing masks. 270 00:14:47,640 --> 00:14:50,800 Speaker 6: But I look at the history of the world, and 271 00:14:50,840 --> 00:14:53,560 Speaker 6: when I think of like my parents and grandparents growing 272 00:14:53,640 --> 00:14:56,880 Speaker 6: up in depressions, fighting wars, kids always had a part 273 00:14:56,880 --> 00:14:59,560 Speaker 6: to play too. And when I look at the fact 274 00:14:59,600 --> 00:15:02,000 Speaker 6: that they're just wearing a mask, but they have a 275 00:15:02,040 --> 00:15:02,960 Speaker 6: roof over their head, they. 276 00:15:02,920 --> 00:15:05,600 Speaker 8: Have food, a mask is basically non inclusive. 277 00:15:05,640 --> 00:15:06,160 Speaker 4: Completely. 278 00:15:06,200 --> 00:15:08,800 Speaker 8: I've yet to see a child whose mask was bothering 279 00:15:08,880 --> 00:15:11,280 Speaker 8: him or her. In fact, in the mercery department, the 280 00:15:11,400 --> 00:15:13,680 Speaker 8: kids are the best ones at wearing masks, and they 281 00:15:13,720 --> 00:15:16,280 Speaker 8: often help their parents put masks on correctly. 282 00:15:16,480 --> 00:15:18,200 Speaker 1: By the way, that's a doctor who just said that, 283 00:15:18,240 --> 00:15:20,800 Speaker 1: an er doctor who's on CNN putting that out there. 284 00:15:21,600 --> 00:15:24,800 Speaker 1: Then I believe this doctor is either a pathological liar 285 00:15:25,360 --> 00:15:29,360 Speaker 1: or he's blind legally, because otherwise you wouldn't say that. 286 00:15:29,800 --> 00:15:33,960 Speaker 1: The children, especially the smallest ones. I have small kids 287 00:15:34,080 --> 00:15:36,840 Speaker 1: right now. I have twins or four and a new 288 00:15:36,880 --> 00:15:39,120 Speaker 1: seven year old. So if you go back two years, 289 00:15:39,200 --> 00:15:40,880 Speaker 1: putting a two year old a mask on a two 290 00:15:40,920 --> 00:15:43,000 Speaker 1: year old was hard as hell, folks. 291 00:15:43,440 --> 00:15:47,400 Speaker 4: It wasn't easy at all. It was hard. 292 00:15:48,120 --> 00:15:51,200 Speaker 1: And that's part of what really makes me so angry 293 00:15:51,600 --> 00:15:53,760 Speaker 1: is the fact that these people are sitting there going, oh, yeah, 294 00:15:53,760 --> 00:15:55,720 Speaker 1: the kids are the best, and they are married, you know, 295 00:15:55,920 --> 00:15:57,960 Speaker 1: and they've got to roll to play because kids had 296 00:15:57,960 --> 00:15:59,360 Speaker 1: to roll to play in World War Two. The least 297 00:15:59,360 --> 00:16:01,120 Speaker 1: they can do now is wear a mask. And I'm 298 00:16:01,120 --> 00:16:03,960 Speaker 1: reminding you of this because this is what made me 299 00:16:04,120 --> 00:16:06,960 Speaker 1: coming this fall. We're seeing the media and the doctors 300 00:16:07,080 --> 00:16:10,600 Speaker 1: ramped this up, and the pharmaceutical houses ramp this up. Oh, 301 00:16:10,680 --> 00:16:12,920 Speaker 1: COVID's on the rise. Oh, the kids are back in school. 302 00:16:12,960 --> 00:16:15,880 Speaker 1: Oh things are getting off off there. You know, they're 303 00:16:15,920 --> 00:16:17,840 Speaker 1: not where they were before. Folks, you might need to 304 00:16:17,880 --> 00:16:20,240 Speaker 1: protect THEFF. You better go get that COVID shot. Oh 305 00:16:20,280 --> 00:16:22,000 Speaker 1: it gets better. Let me keep reminding you of the 306 00:16:22,000 --> 00:16:24,640 Speaker 1: media and their own words and the medical professionals. 307 00:16:24,800 --> 00:16:30,000 Speaker 4: There's nothing adverse or bad about masks. We've used masks 308 00:16:30,080 --> 00:16:33,480 Speaker 4: for decades. We mask kids and are canceled wards routinely. 309 00:16:33,920 --> 00:16:37,520 Speaker 10: We have now a plethora of ongoing research and studies 310 00:16:38,120 --> 00:16:41,520 Speaker 10: and documents that are showing us that masks do not 311 00:16:41,840 --> 00:16:43,360 Speaker 10: put children at risk. 312 00:16:43,760 --> 00:16:47,360 Speaker 9: This concept that children somehow are harmed or abused by 313 00:16:47,360 --> 00:16:50,360 Speaker 9: wearing masks is not founded in any science. 314 00:16:50,640 --> 00:16:52,680 Speaker 4: It's simple. It does no harm. 315 00:16:52,960 --> 00:16:54,200 Speaker 9: My kids wear them to school. 316 00:16:54,280 --> 00:16:57,120 Speaker 10: The idea that children won't wear masks is actually an 317 00:16:57,120 --> 00:16:59,800 Speaker 10: application of leadership to say that we can't act them. 318 00:17:00,000 --> 00:17:00,720 Speaker 10: I won't get an. 319 00:17:00,560 --> 00:17:01,440 Speaker 12: Example for them. 320 00:17:01,680 --> 00:17:06,920 Speaker 2: Those fifty million children need to protect themselves by wearing masks. 321 00:17:07,080 --> 00:17:09,440 Speaker 5: If I'm going to get on an airplane, I don't 322 00:17:09,440 --> 00:17:12,080 Speaker 5: have to wear a mask, but I will have my 323 00:17:12,160 --> 00:17:13,080 Speaker 5: kids wear one. 324 00:17:13,240 --> 00:17:16,800 Speaker 12: I think this is politically dividing at all. 325 00:17:17,000 --> 00:17:18,920 Speaker 13: I wear masks, my kids wear masks. 326 00:17:19,000 --> 00:17:24,840 Speaker 14: I don't understand why parents are not listening to the science, 327 00:17:25,359 --> 00:17:28,679 Speaker 14: not teaching their children to wear a mask. 328 00:17:28,880 --> 00:17:31,159 Speaker 10: My responsibility, if I am lucky enough to be the 329 00:17:31,160 --> 00:17:33,520 Speaker 10: next governor of Georgia, is to look at the science, 330 00:17:33,760 --> 00:17:36,720 Speaker 10: to follow the protocols, and to set the right example. 331 00:17:36,840 --> 00:17:38,679 Speaker 9: I think we're even talking to the children. When we 332 00:17:38,760 --> 00:17:43,440 Speaker 9: talk to schools and classrooms of children, they are happy 333 00:17:43,520 --> 00:17:44,359 Speaker 9: to wear masks. 334 00:17:44,400 --> 00:17:47,200 Speaker 12: Be comforted by the fact that children have so much 335 00:17:47,320 --> 00:17:51,200 Speaker 12: neuroplasticity that this is a bump in their social development, 336 00:17:51,359 --> 00:17:53,920 Speaker 12: but that they can repair very easily. 337 00:17:54,240 --> 00:17:57,760 Speaker 15: You don't go naked and right now you be going to. 338 00:17:57,760 --> 00:17:58,720 Speaker 4: School without a mask. 339 00:17:59,280 --> 00:18:03,000 Speaker 16: You're not likely to be able to be exposed to 340 00:18:03,080 --> 00:18:06,080 Speaker 16: something and spread it to mommy or daddy. And it's 341 00:18:06,119 --> 00:18:08,160 Speaker 16: not likely mommy and daddy were able to. 342 00:18:08,119 --> 00:18:09,280 Speaker 4: Spread it to you either. 343 00:18:09,840 --> 00:18:13,040 Speaker 16: So I wouldn't worry about a baby, I promise you. 344 00:18:13,359 --> 00:18:15,240 Speaker 16: That's why we need to make sure children are wearing 345 00:18:15,280 --> 00:18:16,280 Speaker 16: masks in school. 346 00:18:17,280 --> 00:18:19,119 Speaker 1: There's Joe Biden, by the way, he was actually if 347 00:18:19,119 --> 00:18:21,520 Speaker 1: you notice, speaking a lot better there than he's speaking now. 348 00:18:21,520 --> 00:18:23,960 Speaker 1: If you want to see the cognitive decline, but this 349 00:18:24,040 --> 00:18:27,040 Speaker 1: is what they did to our kids. Right kids are 350 00:18:27,040 --> 00:18:29,560 Speaker 1: going to thrive in face masks. That was at every 351 00:18:29,560 --> 00:18:31,680 Speaker 1: medical extra. Oh they're great. The kids are awesome. They're 352 00:18:31,680 --> 00:18:32,359 Speaker 1: amazing with us. 353 00:18:32,400 --> 00:18:32,600 Speaker 4: Right. 354 00:18:32,880 --> 00:18:36,359 Speaker 1: Then, let's also remind you of what the media said 355 00:18:36,880 --> 00:18:41,199 Speaker 1: about those who said the wuhunt instead of virology was 356 00:18:41,200 --> 00:18:43,040 Speaker 1: where the lab leak came from? 357 00:18:43,040 --> 00:18:43,959 Speaker 4: And what do they say? 358 00:18:44,440 --> 00:18:47,960 Speaker 1: They said we were tenfold hat wearing loonies who should 359 00:18:47,960 --> 00:18:50,200 Speaker 1: be silenced and taken off social media. 360 00:18:50,240 --> 00:18:50,960 Speaker 4: In fact, the. 361 00:18:50,840 --> 00:18:55,439 Speaker 1: Government went to social media with accounts that they wanted 362 00:18:55,440 --> 00:18:56,960 Speaker 1: to silence. 363 00:18:58,160 --> 00:18:58,640 Speaker 4: Every day. 364 00:18:58,680 --> 00:19:01,199 Speaker 1: There are two different economies. They're growing bigger and bigger. 365 00:19:01,359 --> 00:19:03,840 Speaker 1: One of them is powered by everyday Americans who are 366 00:19:03,960 --> 00:19:06,960 Speaker 1: sick and tired of all the woke propaganda being jammed 367 00:19:07,200 --> 00:19:11,160 Speaker 1: into every product that we're consuming. Well, big mobile companies 368 00:19:11,200 --> 00:19:14,159 Speaker 1: are no different. For years, they've been dumping millions and 369 00:19:14,200 --> 00:19:18,080 Speaker 1: millions into leftist causes, including planned parenthood. And you had 370 00:19:18,119 --> 00:19:20,159 Speaker 1: to have a cell phone, and that's the reason why 371 00:19:20,440 --> 00:19:22,760 Speaker 1: you paid that bill, because you didn't have an alternative. 372 00:19:23,040 --> 00:19:26,320 Speaker 4: Well guess what, Now there's an alternative. 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They have one hundred percent 382 00:19:55,520 --> 00:19:57,960 Speaker 1: US based customer service team as well, so they make 383 00:19:58,000 --> 00:19:58,920 Speaker 1: switching easy. 384 00:19:59,160 --> 00:20:01,840 Speaker 4: You had to keep your phone, keep your phone number two. 385 00:20:02,760 --> 00:20:07,000 Speaker 1: Just go to Patriotmobile dot com slash ferguson or call 386 00:20:07,040 --> 00:20:10,879 Speaker 1: them eight seven eight Patriot get free activation today with 387 00:20:11,000 --> 00:20:15,320 Speaker 1: the offer code ferguson. Ask about their coverage guarantees while 388 00:20:15,359 --> 00:20:18,840 Speaker 1: you're there, Get the same dependable service that you want, 389 00:20:18,960 --> 00:20:21,440 Speaker 1: and take a stand for the values that you demand. 390 00:20:21,800 --> 00:20:27,920 Speaker 1: Patriotmobile dot com slash ferguson or eight seven eight Patriot. This, 391 00:20:28,160 --> 00:20:30,560 Speaker 1: by the way, I do believe is straight up about power. 392 00:20:30,720 --> 00:20:38,040 Speaker 1: I believe it's all about power, okay, all about that 393 00:20:38,359 --> 00:20:42,760 Speaker 1: major type of power that so many Democrats want, and 394 00:20:42,800 --> 00:20:45,160 Speaker 1: that is, Hey, we can tell you what to do, 395 00:20:45,280 --> 00:20:48,160 Speaker 1: what to take, where to talk, what to say, who 396 00:20:48,200 --> 00:20:50,199 Speaker 1: to talk to, and what doctors are good and what 397 00:20:50,320 --> 00:20:52,719 Speaker 1: doctors are bad, Which brings me back to the article. 398 00:20:53,560 --> 00:20:57,280 Speaker 1: Years after they got it wrong on so many different areas. 399 00:20:57,920 --> 00:21:00,840 Speaker 1: This new study comes out and names fits fifty two doctors. 400 00:21:00,840 --> 00:21:03,880 Speaker 1: They say basically shouldn't be doctors anymore, that they should 401 00:21:03,920 --> 00:21:09,720 Speaker 1: be vilified by society. The team defined misinformation the article 402 00:21:09,760 --> 00:21:14,199 Speaker 1: says as assertions unsupported by or contradicting US Centers for 403 00:21:14,240 --> 00:21:18,399 Speaker 1: Disease Control and Prevention Guidance on COVID nineteen prevention and 404 00:21:18,400 --> 00:21:22,120 Speaker 1: treatment during the period of says, or contradicting the existing 405 00:21:22,200 --> 00:21:26,439 Speaker 1: state of a scientific evidence for any topic not covered 406 00:21:26,440 --> 00:21:30,159 Speaker 1: by the CDC. The fifty two doctors were identified by 407 00:21:30,200 --> 00:21:34,000 Speaker 1: communications they made on social media platforms between January one 408 00:21:34,040 --> 00:21:36,760 Speaker 1: of twenty twenty one and May one of twenty twenty two, 409 00:21:37,520 --> 00:21:42,760 Speaker 1: after scientific studies had established the vaccines were safe and effective. Well, 410 00:21:42,880 --> 00:21:45,800 Speaker 1: the new vaccine or the booster they're saying is not 411 00:21:45,840 --> 00:21:47,920 Speaker 1: that effective. It only gives you maybe a couple weeks 412 00:21:47,920 --> 00:21:52,160 Speaker 1: of real protection. So I'm just curious as a scientific 413 00:21:52,200 --> 00:21:55,520 Speaker 1: study telling me that if I say anything negative about 414 00:21:55,520 --> 00:21:58,080 Speaker 1: that booster vaccine that now all of a sudden, I'm 415 00:21:58,119 --> 00:22:02,400 Speaker 1: a misinformation person. Deserve to get my medical license taken 416 00:22:02,440 --> 00:22:05,560 Speaker 1: away from me if I were a doctor, Golf said, Well, 417 00:22:05,600 --> 00:22:09,480 Speaker 1: the study specifically refers to misinformation which is inaccurate information, 418 00:22:10,160 --> 00:22:13,760 Speaker 1: rather than disinformation, which is deliberately missleading the information because 419 00:22:13,840 --> 00:22:17,040 Speaker 1: researchers did not try to determine the motives of the 420 00:22:17,080 --> 00:22:21,760 Speaker 1: medical professionals spreading the information. Still, the author said, and 421 00:22:21,800 --> 00:22:25,680 Speaker 1: several other experts in the field said information was changing 422 00:22:25,760 --> 00:22:28,919 Speaker 1: so quickly during the pandemic, and government messaging was often 423 00:22:29,440 --> 00:22:32,880 Speaker 1: poor than it could have been, leaving many people, even doctors, 424 00:22:33,280 --> 00:22:37,600 Speaker 1: legitimately confused. The guidance kept on changing. Communication around the 425 00:22:37,680 --> 00:22:40,120 Speaker 1: vaccine was horrible. I wonder why, by the way, they're 426 00:22:40,160 --> 00:22:44,120 Speaker 1: stating this now, yet they're still saying, well, you need 427 00:22:44,160 --> 00:22:46,640 Speaker 1: to listen to us. Now, all right, let's go back 428 00:22:46,680 --> 00:22:51,160 Speaker 1: to the people that we shouldn't listen to. Remember when 429 00:22:51,200 --> 00:22:54,760 Speaker 1: people said that clearly the vaccine came out of a 430 00:22:55,160 --> 00:22:57,440 Speaker 1: Luhan Instudent virology, a man made lab. 431 00:22:57,480 --> 00:22:59,120 Speaker 4: Remember that, Remember where that happened. 432 00:23:00,040 --> 00:23:04,720 Speaker 1: Guess what? Guess what I can remind you of. What 433 00:23:04,760 --> 00:23:08,359 Speaker 1: the media said, what the White House said. They were 434 00:23:08,400 --> 00:23:10,040 Speaker 1: all wrong, by the way, but they didn't want to 435 00:23:10,080 --> 00:23:12,639 Speaker 1: admit that we were funding with our tax hours at 436 00:23:12,680 --> 00:23:15,520 Speaker 1: Unhai and student virology, So therefore they had to make 437 00:23:15,560 --> 00:23:17,920 Speaker 1: it clear that you couldn't believe that right, that's something 438 00:23:17,960 --> 00:23:19,119 Speaker 1: you're not allowed to believe. 439 00:23:19,200 --> 00:23:20,000 Speaker 4: So listen to this. 440 00:23:20,440 --> 00:23:24,680 Speaker 2: You will always have conspiracy theories when you have a 441 00:23:24,800 --> 00:23:27,200 Speaker 2: very challenging public health crises. 442 00:23:27,840 --> 00:23:29,520 Speaker 4: They are nothing but distractions. 443 00:23:29,880 --> 00:23:34,320 Speaker 13: President retweeting a conspiracy video alleging that masks do not work. 444 00:23:34,480 --> 00:23:38,120 Speaker 13: The video is then removed by Twitter, Facebook and YouTube 445 00:23:38,280 --> 00:23:41,240 Speaker 13: violated rules against spreading misinformation. 446 00:23:41,640 --> 00:23:44,920 Speaker 9: The second most powerful man in the world, revealing himself 447 00:23:44,920 --> 00:23:48,119 Speaker 9: in this video as a mask truther. A major study 448 00:23:48,160 --> 00:23:51,359 Speaker 9: finding masks made no difference in stopping the spread. 449 00:23:51,720 --> 00:23:54,560 Speaker 17: Mask mandates it turns out were an utter failure. It's 450 00:23:54,600 --> 00:23:57,160 Speaker 17: not missing it but the New York Times the mask 451 00:23:57,240 --> 00:24:00,680 Speaker 17: mandates did nothing. Will any lessons be learned at Stevens 452 00:24:00,720 --> 00:24:04,879 Speaker 17: Site's a comprehensive British review of seventy eight randomized studies 453 00:24:04,880 --> 00:24:08,000 Speaker 17: with more than six hundred thousand participants. 454 00:24:07,720 --> 00:24:12,760 Speaker 18: That wasn't scientifically effective, the mass guidance correct. 455 00:24:12,600 --> 00:24:15,600 Speaker 9: It wasn't science based, and the six feet of distancing 456 00:24:16,280 --> 00:24:17,160 Speaker 9: was arbitrary. 457 00:24:18,160 --> 00:24:21,680 Speaker 5: All around the country over the weekend, protests popped up 458 00:24:22,000 --> 00:24:26,240 Speaker 5: these morons and incnet conspiracy theories, demanding an immediate end 459 00:24:26,440 --> 00:24:28,800 Speaker 5: to lockdowns and let's be honest people, this is both 460 00:24:28,840 --> 00:24:32,600 Speaker 5: insane and counter productive, because the more you gather in groups, 461 00:24:32,720 --> 00:24:34,840 Speaker 5: the longer the lockdown will have to go on. 462 00:24:35,200 --> 00:24:40,520 Speaker 18: Did lockdowns during COVID prevent severe effects from COVID nineteen? 463 00:24:40,600 --> 00:24:44,280 Speaker 18: Did it help in the arc of the pandemic? Economists 464 00:24:44,320 --> 00:24:46,359 Speaker 18: from Johns Hopkins say no. 465 00:24:46,880 --> 00:24:50,040 Speaker 19: The report warned against using lockdowns as a pandemic measure 466 00:24:50,080 --> 00:24:53,119 Speaker 19: in the future because of the low effectiveness on mortality 467 00:24:53,359 --> 00:24:55,200 Speaker 19: and the consequences for the economy. 468 00:24:55,640 --> 00:24:59,440 Speaker 16: The lockdowns, in terms of there are effects on mortality, 469 00:24:59,480 --> 00:25:04,320 Speaker 16: we may against mortality, were basically irrelevant. 470 00:25:04,440 --> 00:25:05,560 Speaker 4: They destroyed people. 471 00:25:05,640 --> 00:25:09,440 Speaker 19: They literally killed people when you shut down medical care. 472 00:25:09,920 --> 00:25:13,240 Speaker 19: In spring of twenty twenty alone, there were six hundred 473 00:25:13,280 --> 00:25:18,080 Speaker 19: and fifty thousand cancer chemotherapy patients in this country alone. 474 00:25:18,600 --> 00:25:22,040 Speaker 19: Half of them didn't get their chemo because they were afraid. 475 00:25:22,080 --> 00:25:23,960 Speaker 19: They were told it was dangerous to go to a 476 00:25:24,000 --> 00:25:25,000 Speaker 19: medical facility. 477 00:25:25,080 --> 00:25:25,840 Speaker 4: Weigh in on. 478 00:25:25,800 --> 00:25:29,080 Speaker 10: A theory that's been floating around that perhaps the number 479 00:25:29,160 --> 00:25:33,639 Speaker 10: of fatalities related to COVID nineteen is being inflated because 480 00:25:33,680 --> 00:25:38,640 Speaker 10: people are actually dying of other things. What's your read 481 00:25:38,720 --> 00:25:39,479 Speaker 10: on that theory? 482 00:25:41,359 --> 00:25:43,920 Speaker 15: You know, sa amount of There is absolutely no evidence 483 00:25:43,960 --> 00:25:45,120 Speaker 15: that that's the case at all. 484 00:25:45,240 --> 00:25:48,800 Speaker 20: Yeah, I think it falls into the category of something 485 00:25:48,840 --> 00:25:51,840 Speaker 20: that's very unfortunate, these conspiracy. 486 00:25:51,080 --> 00:25:53,040 Speaker 4: Theories that we hear about, even. 487 00:25:52,800 --> 00:25:57,399 Speaker 18: Though wackos trump wackos or are are doing conspiracy theories 488 00:25:57,440 --> 00:25:58,719 Speaker 18: saying those numbers are padded. 489 00:25:58,760 --> 00:26:01,199 Speaker 2: What should we say to people who can viras theorize 490 00:26:01,200 --> 00:26:03,000 Speaker 2: about an overcount. 491 00:26:02,320 --> 00:26:02,879 Speaker 4: Of the ducks? 492 00:26:03,200 --> 00:26:05,480 Speaker 7: Well up now to my conversation with Ella County Health 493 00:26:05,480 --> 00:26:08,920 Speaker 7: Director Barbara Ferrer, who last week acknowledged the county maybe 494 00:26:08,960 --> 00:26:11,800 Speaker 7: over counting COVID deaths by as much as twenty percent. 495 00:26:11,920 --> 00:26:14,639 Speaker 12: Could it be a secondary contributing cause. So, for example, 496 00:26:14,760 --> 00:26:18,040 Speaker 12: somebody with kidney disease COVID then pushes them over the 497 00:26:18,119 --> 00:26:21,560 Speaker 12: EDGETEP kidney failure. That's COVID as a contributing cause. And 498 00:26:21,560 --> 00:26:24,040 Speaker 12: then the third is COVID as an incidental finding. So 499 00:26:24,080 --> 00:26:26,359 Speaker 12: somebody coming in with a gunshot wound or a heart 500 00:26:26,359 --> 00:26:28,080 Speaker 12: attack and a happy to test positive. 501 00:26:29,359 --> 00:26:32,919 Speaker 15: Now, part of the conspiracy theory is that the disease. 502 00:26:32,600 --> 00:26:34,640 Speaker 20: Started in a laboratory in Wuhan. 503 00:26:35,040 --> 00:26:38,720 Speaker 14: Just weeks ago, doctor Anthony Fauci rejected the conspiracy that 504 00:26:38,800 --> 00:26:41,879 Speaker 14: coronavirus was man made in a lab in Wuhan, China, 505 00:26:42,359 --> 00:26:44,800 Speaker 14: and yet this week Donald Trump is still pushing the 506 00:26:44,880 --> 00:26:45,840 Speaker 14: debunked bunk them. 507 00:26:46,160 --> 00:26:48,359 Speaker 8: A lot of people a love that phrase escape from 508 00:26:48,359 --> 00:26:50,480 Speaker 8: the lab because it sounds like something from Marvel movie 509 00:26:50,520 --> 00:26:51,200 Speaker 8: or a comic book. 510 00:26:51,240 --> 00:26:54,679 Speaker 20: Everyone who believes in the conspiracy is saying that he 511 00:26:54,800 --> 00:26:59,240 Speaker 20: came out of a lab in Wuhan rather than through 512 00:26:59,320 --> 00:27:00,760 Speaker 20: food market. 513 00:27:00,880 --> 00:27:03,680 Speaker 7: And he continued to push a conspiracy theory that has 514 00:27:03,840 --> 00:27:06,400 Speaker 7: already been debunked. 515 00:27:05,720 --> 00:27:07,160 Speaker 4: By our intelligence community. 516 00:27:07,240 --> 00:27:11,320 Speaker 7: This whole notion that the coronavirus was developed in a 517 00:27:11,400 --> 00:27:13,280 Speaker 7: Chinese lab that has been debunked. 518 00:27:13,359 --> 00:27:16,679 Speaker 15: There's a report today that another intelligence arm of the 519 00:27:16,800 --> 00:27:20,359 Speaker 15: US government, this is inside our Energy Department, has joined 520 00:27:20,400 --> 00:27:23,720 Speaker 15: the FBI in concluding that COVID began with a lab 521 00:27:23,800 --> 00:27:25,119 Speaker 15: leak in China. 522 00:27:25,240 --> 00:27:27,800 Speaker 7: Is that I don't know who to trust, Yeah right, 523 00:27:27,840 --> 00:27:32,240 Speaker 7: I certainly don't trust reporters because reporters treated this initially 524 00:27:32,440 --> 00:27:35,080 Speaker 7: as if it was nothing more than a crazy, unhinged 525 00:27:35,080 --> 00:27:37,520 Speaker 7: conspiracy theory. Yeah, so who do you trust? 526 00:27:37,640 --> 00:27:37,800 Speaker 8: Right? 527 00:27:37,840 --> 00:27:40,040 Speaker 7: You can't trust the legacy media outlets because that was 528 00:27:40,080 --> 00:27:40,720 Speaker 7: their narrative. 529 00:27:41,119 --> 00:27:44,000 Speaker 20: It came out of the city that has a Wuhan 530 00:27:44,240 --> 00:27:48,600 Speaker 20: Institute of Virology, a Chinese lab dot worked on coronaviruses, 531 00:27:49,920 --> 00:27:54,399 Speaker 20: and that is an awfully large coincidence. And that's what 532 00:27:54,440 --> 00:27:57,639 Speaker 20: I've thought throughout that that was an awfully large coincidence. 533 00:27:58,440 --> 00:28:00,399 Speaker 1: You can hear it there over and over again, and 534 00:28:00,440 --> 00:28:04,080 Speaker 1: what we just played for you over and over, it 535 00:28:04,200 --> 00:28:07,480 Speaker 1: was clear that they were wrong time and time again. 536 00:28:07,560 --> 00:28:11,040 Speaker 1: But this new study that's coming out going after these doctors, 537 00:28:11,119 --> 00:28:14,600 Speaker 1: naming their names, said that if they disagree, or if 538 00:28:14,600 --> 00:28:17,399 Speaker 1: you're a doctor that grits disagrees with the CDC and 539 00:28:17,440 --> 00:28:21,760 Speaker 1: the CDC guidance, and you are officially a bad apple 540 00:28:22,280 --> 00:28:25,239 Speaker 1: and you should be publicly named and shamed. In this 541 00:28:25,359 --> 00:28:27,600 Speaker 1: report that's now gone viral in the use of Today 542 00:28:27,680 --> 00:28:31,240 Speaker 1: and many other newspapers, they said that the CDC should 543 00:28:31,320 --> 00:28:34,240 Speaker 1: never be questioned. This is they're also saying, heads up, 544 00:28:34,640 --> 00:28:38,880 Speaker 1: COVID cases are on the rise. I want to make 545 00:28:38,880 --> 00:28:42,200 Speaker 1: it clear. I'm telling you this in the middle of August. 546 00:28:42,920 --> 00:28:45,480 Speaker 1: Get ready for what they're about to try to do 547 00:28:45,640 --> 00:28:49,400 Speaker 1: all over again this winter. It's middle of August, and 548 00:28:49,440 --> 00:28:51,800 Speaker 1: they're doing what they did the year before and the 549 00:28:51,880 --> 00:28:54,480 Speaker 1: year before and the year before that. Make sure you 550 00:28:54,520 --> 00:28:56,880 Speaker 1: share this podcast please with your family and friends. 551 00:28:57,000 --> 00:28:58,280 Speaker 4: Hit that follow button. 552 00:28:58,320 --> 00:29:00,880 Speaker 1: If you're listening on Apple or subscriber Download, depending on 553 00:29:00,880 --> 00:29:03,600 Speaker 1: where you're listening, and you can get every single show 554 00:29:03,640 --> 00:29:04,600 Speaker 1: obviously for free. 555 00:29:04,640 --> 00:29:06,360 Speaker 4: And I'll see you back here tomorrow