1 00:00:00,720 --> 00:00:02,560 Speaker 1: So first of all, I just wanted to let you 2 00:00:02,600 --> 00:00:04,840 Speaker 1: know I apologize for a little bit of the delay 3 00:00:04,840 --> 00:00:08,000 Speaker 1: in the last episode. The reason was my producer John 4 00:00:08,080 --> 00:00:10,360 Speaker 1: cast you, who you guys know from listening to the show, 5 00:00:10,440 --> 00:00:12,480 Speaker 1: him and his family there in the path of hurricane, 6 00:00:12,600 --> 00:00:16,040 Speaker 1: and so obviously his safety is more important as family 7 00:00:16,120 --> 00:00:18,599 Speaker 1: safety is more important than you know, getting a podcast 8 00:00:19,320 --> 00:00:22,120 Speaker 1: out on time. And look, I love being a Floridian. 9 00:00:22,280 --> 00:00:25,320 Speaker 1: I love our state. It's a free state, amazing people 10 00:00:25,440 --> 00:00:27,680 Speaker 1: I've I've loved being a Floridian. It's an honor to 11 00:00:27,720 --> 00:00:30,520 Speaker 1: be a Floridian. And so for those of you listening, 12 00:00:30,680 --> 00:00:33,120 Speaker 1: if if you were in the path of the hurricane, 13 00:00:33,159 --> 00:00:35,000 Speaker 1: and if your family was in the path of hurricane, 14 00:00:35,040 --> 00:00:36,479 Speaker 1: if you lost to love the one, I just want 15 00:00:36,479 --> 00:00:39,840 Speaker 1: to let you know that we're praying for you and 16 00:00:40,159 --> 00:00:41,800 Speaker 1: or even you know, if you lost a house. You 17 00:00:41,840 --> 00:00:44,120 Speaker 1: know that's a significant life event as well. So I 18 00:00:44,159 --> 00:00:46,239 Speaker 1: just wanted to let you guys know that thinking about you, 19 00:00:46,440 --> 00:00:50,279 Speaker 1: praying for you. I know it's tough times financially right 20 00:00:50,280 --> 00:00:54,360 Speaker 1: now and this economy. If you like to give um 21 00:00:54,720 --> 00:00:58,400 Speaker 1: Florida Disaster of fund dot org is a place to 22 00:00:58,480 --> 00:01:01,080 Speaker 1: do so. If you're trying to local a family member. 23 00:01:01,720 --> 00:01:06,280 Speaker 1: Florida Disaster dot org slash report is a place where 24 00:01:06,280 --> 00:01:09,000 Speaker 1: you can go to try to locate a family member 25 00:01:09,080 --> 00:01:13,400 Speaker 1: as well. You like to volunteer, Volunteer Florida dot org 26 00:01:13,800 --> 00:01:16,200 Speaker 1: is a resource for you to do that, to try 27 00:01:16,200 --> 00:01:17,800 Speaker 1: to sign up if you want to go and help 28 00:01:17,840 --> 00:01:20,600 Speaker 1: and volunteer your time, which is another way to help 29 00:01:20,680 --> 00:01:23,600 Speaker 1: out as well. So I just wanted to make sure 30 00:01:23,680 --> 00:01:25,840 Speaker 1: to mention that and let you guys know that you know, 31 00:01:25,840 --> 00:01:28,000 Speaker 1: we're thinking of you a we love our state and uh, 32 00:01:28,120 --> 00:01:30,280 Speaker 1: you know it's the rebuilding process is going to be 33 00:01:30,280 --> 00:01:33,320 Speaker 1: a long but what we're gonna do it. For this episode, 34 00:01:33,360 --> 00:01:36,640 Speaker 1: we've got Dr Harvey Rish. He has been one of 35 00:01:36,640 --> 00:01:41,759 Speaker 1: those brave warriors out during COVID speaking the truth about lockdown, 36 00:01:41,880 --> 00:01:44,840 Speaker 1: speaking the truth about a lot of these you know, 37 00:01:44,920 --> 00:01:48,360 Speaker 1: generic drugs that could have saved lives, but instead the 38 00:01:48,400 --> 00:01:51,280 Speaker 1: media and our public health officials lied to them because 39 00:01:51,560 --> 00:01:54,960 Speaker 1: big Pharma didn't stand to profit off of generic drugs. 40 00:01:55,120 --> 00:01:57,800 Speaker 1: He is someone who has been honest about vaccines and 41 00:01:57,880 --> 00:01:59,760 Speaker 1: what we don't know about them. So he is brave 42 00:02:00,040 --> 00:02:02,680 Speaker 1: as a warrior, and we are so fortunate to have 43 00:02:02,800 --> 00:02:05,240 Speaker 1: people like him and a handful of others who spoke 44 00:02:05,280 --> 00:02:09,799 Speaker 1: the truth bravely during COVID and Harpy Rish is someone 45 00:02:09,800 --> 00:02:12,399 Speaker 1: who knows what he's talking about. Is a prep Professor 46 00:02:12,560 --> 00:02:16,720 Speaker 1: Emeritus of Epidemiology and the Department of Epidemiology and Public 47 00:02:16,760 --> 00:02:19,400 Speaker 1: Health at the Yale School Public Health and Yale School 48 00:02:19,400 --> 00:02:22,320 Speaker 1: of Medicine. Try saying that five times fast. The guys 49 00:02:22,400 --> 00:02:25,480 Speaker 1: the author of more than four hundred original, pure reviewed 50 00:02:25,600 --> 00:02:30,000 Speaker 1: research publications. Those research papers have been cited by other 51 00:02:30,080 --> 00:02:34,560 Speaker 1: scientific publications more than forty six thousand times. And so 52 00:02:34,639 --> 00:02:38,240 Speaker 1: what's crazy is you have someone as esteemed as Dr 53 00:02:38,320 --> 00:02:42,040 Speaker 1: Harvey Rish, yet some in the media, some of these 54 00:02:42,040 --> 00:02:45,080 Speaker 1: public health officials try to shut people like him down, 55 00:02:45,480 --> 00:02:48,240 Speaker 1: someone who knows what he is talking about, try to 56 00:02:48,240 --> 00:02:50,760 Speaker 1: shut him down, try to ruin his credibility and what 57 00:02:50,840 --> 00:02:52,480 Speaker 1: you don't know with a lot of these guys who 58 00:02:52,480 --> 00:02:54,720 Speaker 1: are brave enough to speak the truth, they faced so 59 00:02:54,880 --> 00:02:58,680 Speaker 1: much a personal assault by people, right, I mean folks, 60 00:02:58,680 --> 00:03:00,840 Speaker 1: try to get a lot of these guys fired. I 61 00:03:00,880 --> 00:03:03,680 Speaker 1: know some of them had death threads simply for bringing 62 00:03:03,680 --> 00:03:05,480 Speaker 1: you the truth at a time when we've been lied 63 00:03:05,520 --> 00:03:08,200 Speaker 1: about everything, We've been lied about generic drugs that could 64 00:03:08,200 --> 00:03:12,040 Speaker 1: have stayed alive. We were lied to about lockdowns and 65 00:03:12,040 --> 00:03:15,480 Speaker 1: and we're being lied to about vaccines. We don't even 66 00:03:15,520 --> 00:03:17,960 Speaker 1: know if they're safe. Most most vaccines have five to 67 00:03:18,000 --> 00:03:20,519 Speaker 1: ten years of safety data. These had less than a year. 68 00:03:20,639 --> 00:03:25,160 Speaker 1: And the number of adverse reactions are adding up. You know, 69 00:03:25,200 --> 00:03:26,959 Speaker 1: they want to tell us all these sudden deaths that 70 00:03:27,000 --> 00:03:29,760 Speaker 1: we're seeing in young people that, oh, and there's no correlation. 71 00:03:29,800 --> 00:03:31,840 Speaker 1: Don't worry, it has nothing to do with COVID vaccines. 72 00:03:32,440 --> 00:03:33,960 Speaker 1: But but is that the truth? I mean, do we 73 00:03:34,000 --> 00:03:35,720 Speaker 1: even know that these are staying? So we're going to 74 00:03:35,800 --> 00:03:38,160 Speaker 1: get into all of this with Dr Harvey Rish, who 75 00:03:38,160 --> 00:03:40,640 Speaker 1: has been a truth teller. It was exactly the kind 76 00:03:40,680 --> 00:03:42,160 Speaker 1: of person we like to have on this show. So 77 00:03:42,200 --> 00:03:45,280 Speaker 1: we're gonna get into all of this, the truth about COVID, 78 00:03:45,360 --> 00:03:48,520 Speaker 1: the truth about the vaccines, and what you need to know. 79 00:03:48,920 --> 00:04:02,160 Speaker 1: So stay tuned for Dr Harvey Rish. You're learning. Before 80 00:04:02,200 --> 00:04:04,440 Speaker 1: we get started, I just wanted to thank you for 81 00:04:04,520 --> 00:04:08,000 Speaker 1: being so brave and speaking up during COVID. So many 82 00:04:08,080 --> 00:04:11,440 Speaker 1: were fearful to do so, and I really do believe 83 00:04:11,520 --> 00:04:14,200 Speaker 1: that it's because of you and a handful of others 84 00:04:14,200 --> 00:04:17,279 Speaker 1: that you know our country was able to break free 85 00:04:17,360 --> 00:04:20,480 Speaker 1: of lockdowns and some of the craziness that we were saying. 86 00:04:20,520 --> 00:04:23,520 Speaker 1: So I just wanted to thank you for being so brave. 87 00:04:24,480 --> 00:04:27,520 Speaker 1: Thank you. I have to imagine as someone like you 88 00:04:27,600 --> 00:04:31,840 Speaker 1: in such a prestigious position that you are in. I 89 00:04:32,000 --> 00:04:35,599 Speaker 1: was watching COVID just crazy for you to just see 90 00:04:35,720 --> 00:04:39,880 Speaker 1: so many people pushing, you know, demonstrable lies and things 91 00:04:39,920 --> 00:04:43,160 Speaker 1: that were easily disproven, and people who are supposed to 92 00:04:43,200 --> 00:04:46,160 Speaker 1: be in similar positions as you in telling us the 93 00:04:46,200 --> 00:04:50,039 Speaker 1: truth about data and information. Well, when I started with 94 00:04:50,080 --> 00:04:55,720 Speaker 1: this in about April of I couldn't understand why media 95 00:04:55,839 --> 00:05:00,919 Speaker 1: we're reporting things that were flatly wrong. Uh. At first 96 00:05:00,960 --> 00:05:06,040 Speaker 1: I thought it was that they just reporters being sloppy, 97 00:05:06,320 --> 00:05:09,159 Speaker 1: you know, and I dealt with reporters and reporting my 98 00:05:09,240 --> 00:05:12,599 Speaker 1: scientific research for forty years, so I have a sense 99 00:05:12,640 --> 00:05:16,400 Speaker 1: of whether reporters are detail oriented or not, whether they 100 00:05:17,360 --> 00:05:20,440 Speaker 1: you know, they have a message that they're trying to 101 00:05:20,480 --> 00:05:22,880 Speaker 1: put out separate from what the science shows or not. 102 00:05:23,240 --> 00:05:25,600 Speaker 1: So at first I thought it was just sloppin us, 103 00:05:25,680 --> 00:05:29,640 Speaker 1: but it soon became apparent that this was systematic. That 104 00:05:30,320 --> 00:05:33,880 Speaker 1: the early outpatient medications that were being used by doctors, 105 00:05:34,640 --> 00:05:40,280 Speaker 1: uh up through April and May that we're working. Um, 106 00:05:40,360 --> 00:05:45,839 Speaker 1: we're being castigated as not working. And the problem was 107 00:05:46,040 --> 00:05:48,960 Speaker 1: that the studies that were claiming that they showed that 108 00:05:49,080 --> 00:05:54,120 Speaker 1: these medications and were hospital patients and the doctors were 109 00:05:54,200 --> 00:05:58,040 Speaker 1: using them successfully in outpatients. And it's two separate diseases, 110 00:05:58,480 --> 00:06:03,839 Speaker 1: two different treatments, and two different conditions, two different biological ideologies. 111 00:06:04,360 --> 00:06:07,520 Speaker 1: And yet the media we're saying these drugs don't work, 112 00:06:07,760 --> 00:06:11,840 Speaker 1: when in fact they worked perfectly well. And um So, 113 00:06:12,400 --> 00:06:17,640 Speaker 1: after I realized that this was a systematic misrepresentation, I 114 00:06:17,720 --> 00:06:22,719 Speaker 1: started seeing how large scale this whole thing was, and 115 00:06:22,839 --> 00:06:29,640 Speaker 1: that led to the media and government suppression of generic 116 00:06:29,720 --> 00:06:35,279 Speaker 1: medications for outpatient COVID treatment and all of the negative consequences. 117 00:06:35,279 --> 00:06:37,280 Speaker 1: That was, in fact the big lie of the pandemic. 118 00:06:37,880 --> 00:06:41,520 Speaker 1: That these medications don't work. Hydroptic workman iver mectin and 119 00:06:41,920 --> 00:06:45,200 Speaker 1: others do work, and they work very well for keeping 120 00:06:45,200 --> 00:06:47,520 Speaker 1: people out of the hospital and for keeping people from 121 00:06:47,600 --> 00:06:53,000 Speaker 1: dying from COVID, and they had to be suppressed at 122 00:06:53,000 --> 00:07:00,240 Speaker 1: all accounts by economic interests that, um, we're trying to 123 00:07:00,640 --> 00:07:06,960 Speaker 1: wrench the marketplace for their own gigantic economic benefit and 124 00:07:07,000 --> 00:07:14,440 Speaker 1: so these um medications generic without big pharma company backing 125 00:07:14,520 --> 00:07:19,440 Speaker 1: and support, we're just pushed off to the to nowhere 126 00:07:20,280 --> 00:07:24,080 Speaker 1: by propaganda. And the media was completely complicit in that. 127 00:07:24,880 --> 00:07:27,680 Speaker 1: And I'll leave that to you and your investigative team 128 00:07:27,760 --> 00:07:30,720 Speaker 1: to figure out who and why and what was involved 129 00:07:30,760 --> 00:07:35,760 Speaker 1: in that. But that was what happened. People lied about 130 00:07:36,040 --> 00:07:39,480 Speaker 1: eric drugs that could have saved lives because they're cheap 131 00:07:39,520 --> 00:07:43,240 Speaker 1: and big pharma wanted to make money. That is my impression, 132 00:07:43,480 --> 00:07:48,800 Speaker 1: and the there's empirical evidence that this is obvious today. Still, 133 00:07:49,240 --> 00:07:52,280 Speaker 1: the FDA has a website warning against the use of 134 00:07:52,320 --> 00:07:55,680 Speaker 1: hydroxic flor quin for outpatients, and it's been up for 135 00:07:55,720 --> 00:07:59,119 Speaker 1: more than two years. On their website, doesn't big black 136 00:07:59,200 --> 00:08:03,200 Speaker 1: letters wren don't use hydroxic gloric want to treat um 137 00:08:03,240 --> 00:08:06,520 Speaker 1: out COVID out patients, And then in small print underneath 138 00:08:06,520 --> 00:08:09,840 Speaker 1: it says, we based this on adverse events we've observed 139 00:08:09,840 --> 00:08:13,280 Speaker 1: in hospital patients in one study of hospital patients. So 140 00:08:13,360 --> 00:08:16,800 Speaker 1: not only was that cherry pick, but it's irrelevant. And 141 00:08:16,880 --> 00:08:19,400 Speaker 1: you can understand that if f d A actually had 142 00:08:19,560 --> 00:08:26,200 Speaker 1: adverse um events information on COVID outpatients treated with hydroxic chlorice. 143 00:08:26,240 --> 00:08:29,000 Speaker 1: They would decided that the fact that they didn't cite 144 00:08:29,000 --> 00:08:31,760 Speaker 1: what would have been the most important and relevant evidence 145 00:08:32,120 --> 00:08:34,120 Speaker 1: to make the case for their warning means that they 146 00:08:34,160 --> 00:08:37,040 Speaker 1: didn't have that those data. They still don't have those data, 147 00:08:37,120 --> 00:08:40,040 Speaker 1: and they're still lying about this on their website to 148 00:08:40,080 --> 00:08:43,199 Speaker 1: this day. And we're really lied to you about everything, 149 00:08:43,280 --> 00:08:45,440 Speaker 1: you know, I mean you're talking about the media sort 150 00:08:45,480 --> 00:08:49,000 Speaker 1: of pushing you know, fear and being very dishonest. Look. 151 00:08:49,120 --> 00:08:51,839 Speaker 1: I was able to figure out, you know, basically at 152 00:08:51,840 --> 00:08:54,920 Speaker 1: the beginning, right after the fifty days to slow the spread, 153 00:08:55,360 --> 00:08:58,120 Speaker 1: because I read Dr John the needy use of Stanford 154 00:08:58,200 --> 00:09:00,400 Speaker 1: his outbed and stat news, and what he was saying 155 00:09:00,559 --> 00:09:03,480 Speaker 1: made perfect sense to me that the fatality rates were 156 00:09:03,520 --> 00:09:06,360 Speaker 1: totally skewed because we were only testing the people who 157 00:09:06,360 --> 00:09:09,280 Speaker 1: are showing up at hospitals and essentially dying, and we're 158 00:09:09,360 --> 00:09:12,600 Speaker 1: missing the cases in the country by something like sixty 159 00:09:12,720 --> 00:09:15,240 Speaker 1: five fold. And if we had captured all those cases, 160 00:09:15,640 --> 00:09:18,560 Speaker 1: then the fatality rate would have been much less than 161 00:09:18,600 --> 00:09:21,240 Speaker 1: what we're being told. I'm not a doctor or scientist, 162 00:09:21,360 --> 00:09:23,800 Speaker 1: I was able to figure this out. So it was 163 00:09:23,880 --> 00:09:26,520 Speaker 1: it was very frustrating to me that more people weren't 164 00:09:26,559 --> 00:09:30,960 Speaker 1: able to just use simple, basic common sense and figure 165 00:09:31,000 --> 00:09:35,120 Speaker 1: out that we were pushing unnecessary fear from the beginning. Well, 166 00:09:35,160 --> 00:09:38,640 Speaker 1: that's right, that it's that kind of reasoning that has 167 00:09:38,679 --> 00:09:41,920 Speaker 1: been apparent every time you turn around practically throughout the 168 00:09:41,920 --> 00:09:46,360 Speaker 1: whole pandemic, that things don't make sense there. We're being 169 00:09:46,440 --> 00:09:49,640 Speaker 1: spoon fed them as if there's science, but they're they're not. 170 00:09:49,679 --> 00:09:52,920 Speaker 1: They're just plausibility. And even the plausibility has been shaky 171 00:09:52,960 --> 00:09:55,559 Speaker 1: at times. You know, masks work, they don't work, they 172 00:09:55,600 --> 00:09:57,520 Speaker 1: do work, they don't work, they do work, they don't work, 173 00:09:57,720 --> 00:10:01,320 Speaker 1: and so on, and in fact they don't work. Um, 174 00:10:01,360 --> 00:10:05,280 Speaker 1: and we've known that for decades, and um, we're still 175 00:10:05,280 --> 00:10:09,200 Speaker 1: fighting this stupid battle about whether maths do anything or 176 00:10:09,240 --> 00:10:12,360 Speaker 1: not when it's it's been established for a long time 177 00:10:12,400 --> 00:10:15,120 Speaker 1: that they don't. John Hopkins had came up with that 178 00:10:15,160 --> 00:10:18,960 Speaker 1: study a little while ago showing that lockdowns, school closures, 179 00:10:19,000 --> 00:10:22,720 Speaker 1: limiting gatherings, all these things only reduced COVID mortality by 180 00:10:22,760 --> 00:10:26,839 Speaker 1: point two percent, which is, you know, nothing in comparison 181 00:10:26,840 --> 00:10:30,800 Speaker 1: to the amount of lives lost from overdoses suicides. You know, 182 00:10:30,840 --> 00:10:33,880 Speaker 1: the delayed care and all those things. At what point, 183 00:10:34,320 --> 00:10:38,840 Speaker 1: did our leaders know that lockdowns weren't working? Well, the 184 00:10:38,920 --> 00:10:41,520 Speaker 1: question is who are the leaders? I? You know, I 185 00:10:41,559 --> 00:10:44,600 Speaker 1: think that Burk's and FOUCHI knew that this was all 186 00:10:44,760 --> 00:10:52,400 Speaker 1: theater and destructive and part of intimidating the population, propagandizing, 187 00:10:52,720 --> 00:10:55,200 Speaker 1: you know, fear porn as they say, of the propagate 188 00:10:55,320 --> 00:11:00,480 Speaker 1: of the population to make them docile, uncontrollable. And whether 189 00:11:00,480 --> 00:11:03,560 Speaker 1: President Trump knew this or not, I don't know. But 190 00:11:03,640 --> 00:11:06,400 Speaker 1: Burke's talks about this in in her book, that that 191 00:11:06,559 --> 00:11:11,360 Speaker 1: it was known that lockdowns do nothing, and the lockdowns 192 00:11:11,360 --> 00:11:16,120 Speaker 1: did not reduce mortality from COVID. That most the lockdowns did, 193 00:11:16,240 --> 00:11:19,960 Speaker 1: as we saw in Australia is delayed the inevitable. And 194 00:11:20,080 --> 00:11:23,559 Speaker 1: I was saying this all along, that the lockdowns are 195 00:11:23,640 --> 00:11:28,599 Speaker 1: not going to save anybody, They're only going to prolong everything. 196 00:11:28,880 --> 00:11:31,840 Speaker 1: And what happened in Australia, of course, is as soon 197 00:11:31,840 --> 00:11:33,680 Speaker 1: as they opened up, the kind of the population was 198 00:11:33,720 --> 00:11:37,640 Speaker 1: a sponge for the infection and it just sped spread 199 00:11:37,679 --> 00:11:41,959 Speaker 1: wildly throughout the whole population and the mortality pop right 200 00:11:42,000 --> 00:11:46,240 Speaker 1: back at the time. And so none of these things 201 00:11:46,280 --> 00:11:49,560 Speaker 1: had any public health science behind them. There's never been 202 00:11:50,320 --> 00:11:53,600 Speaker 1: in any Western country in the Western world, the use 203 00:11:53,760 --> 00:11:58,120 Speaker 1: of lockdowns for pandemics for healthy people. This was an 204 00:11:58,200 --> 00:12:02,600 Speaker 1: artifact of use in Asia, where it didn't work in fact, 205 00:12:02,679 --> 00:12:05,120 Speaker 1: but was still part of their cultural baggage if you 206 00:12:05,200 --> 00:12:09,079 Speaker 1: put as it were, and the fact that it was 207 00:12:09,120 --> 00:12:13,600 Speaker 1: adopted here had no benefit of any scientific evidence for 208 00:12:13,760 --> 00:12:17,120 Speaker 1: it at all and no history in in Western news 209 00:12:17,400 --> 00:12:20,280 Speaker 1: Quick commercial break back with Dr Harvey Rish On the 210 00:12:20,280 --> 00:12:25,560 Speaker 1: other side, do we know how many deaths were actually 211 00:12:25,600 --> 00:12:28,679 Speaker 1: caused by COVID in the country, Because when we started 212 00:12:28,679 --> 00:12:33,160 Speaker 1: differentiating between with COVID versus from COVID for hospitalizations, we 213 00:12:33,200 --> 00:12:36,400 Speaker 1: saw things like almost half of the reported New York 214 00:12:36,440 --> 00:12:39,840 Speaker 1: COVID hospitalizations were not actually due to COVID. People just 215 00:12:39,920 --> 00:12:42,200 Speaker 1: happened to have COVID that was not the driver bringing 216 00:12:42,240 --> 00:12:45,360 Speaker 1: them into the hospital. So I mean, wouldn't that same 217 00:12:45,400 --> 00:12:47,800 Speaker 1: logic then be applied to death And do you think 218 00:12:47,800 --> 00:12:50,800 Speaker 1: we'll ever get an accurate number? I think the answer 219 00:12:50,880 --> 00:12:53,760 Speaker 1: is yes, the same problem arises. This has been a 220 00:12:53,800 --> 00:12:58,040 Speaker 1: classical problem in death certificates in general, as people have 221 00:12:58,160 --> 00:13:02,800 Speaker 1: multiple meta co conditions and it's hard sometimes to know 222 00:13:02,880 --> 00:13:05,959 Speaker 1: which is the one that you know. Well, put the 223 00:13:07,040 --> 00:13:09,559 Speaker 1: straw the broke camels back, so to speak, put them 224 00:13:09,600 --> 00:13:14,040 Speaker 1: over the top and not being able to survive. And 225 00:13:14,400 --> 00:13:17,880 Speaker 1: it's hard to know in COVID as a cause of 226 00:13:17,960 --> 00:13:21,960 Speaker 1: death whether it was the straw that broke the camel's 227 00:13:21,960 --> 00:13:24,760 Speaker 1: back or it was just there and something else did 228 00:13:24,800 --> 00:13:29,439 Speaker 1: them in And and this this requires very careful analysis, 229 00:13:29,440 --> 00:13:33,560 Speaker 1: and a casual general practitioner who you know, who has 230 00:13:33,600 --> 00:13:36,040 Speaker 1: to sign or deskertificate or something may not be able 231 00:13:36,080 --> 00:13:38,600 Speaker 1: to make that, let alone the CDC when it tries 232 00:13:38,679 --> 00:13:40,880 Speaker 1: to code it as a cause of death. I think 233 00:13:40,920 --> 00:13:45,440 Speaker 1: there's a lot of uncertainty as to the with COVID 234 00:13:45,520 --> 00:13:48,400 Speaker 1: as as opposed to from COVID. I agree with you, 235 00:13:48,800 --> 00:13:51,480 Speaker 1: and I think there are a few studies, the three 236 00:13:51,559 --> 00:13:54,480 Speaker 1: or four studies that have looked at that that showed 237 00:13:54,559 --> 00:13:58,520 Speaker 1: in the pre omicron era that it was about fifty fifty, 238 00:13:58,600 --> 00:14:01,000 Speaker 1: about half of death where were COVID and half we're 239 00:14:01,040 --> 00:14:06,600 Speaker 1: from COVID. It's probably much less now from COVID in 240 00:14:06,640 --> 00:14:09,000 Speaker 1: the O macron era because O macron is a much 241 00:14:09,160 --> 00:14:14,160 Speaker 1: less fatal illness than the original COVID was. We're hospitals 242 00:14:14,280 --> 00:14:20,400 Speaker 1: financially motivated to calculate hospitalizations and deaths as co related. 243 00:14:20,840 --> 00:14:24,680 Speaker 1: My understanding is that hospitals have gotten so much money 244 00:14:24,760 --> 00:14:29,800 Speaker 1: for every different possible COVID related UH charge that they 245 00:14:29,800 --> 00:14:34,120 Speaker 1: can build, that they have specialized in coming up with 246 00:14:34,160 --> 00:14:37,960 Speaker 1: protocols that maximize how much money they make on COVID patients. 247 00:14:38,000 --> 00:14:41,760 Speaker 1: And so to label somebody is having COVID gives them 248 00:14:42,000 --> 00:14:45,320 Speaker 1: another tens or whatever thousands of dollars on that patients. 249 00:14:45,320 --> 00:14:48,360 Speaker 1: So they of course are going to label people with 250 00:14:48,480 --> 00:14:53,520 Speaker 1: COVID as being for COVID to the degree that that 251 00:14:53,520 --> 00:14:56,280 Speaker 1: that goes into the building system. Why haven't we seen 252 00:14:56,680 --> 00:15:00,000 Speaker 1: m R and A vaccines before COVID? To my knowledge, 253 00:15:00,080 --> 00:15:03,000 Speaker 1: the m R and A vaccines have been under development 254 00:15:03,040 --> 00:15:07,920 Speaker 1: for a decade, They've been in use in veterinary of medicine, 255 00:15:08,480 --> 00:15:12,160 Speaker 1: and in that context have not worked all that well. 256 00:15:12,480 --> 00:15:14,160 Speaker 1: That none of them have worked for more than a 257 00:15:14,240 --> 00:15:18,440 Speaker 1: year or something like that, and so they haven't really 258 00:15:18,480 --> 00:15:23,600 Speaker 1: captured that marketplace very well for animal usage. And I 259 00:15:23,640 --> 00:15:31,120 Speaker 1: think that the problem is that it's a biological material 260 00:15:32,000 --> 00:15:36,880 Speaker 1: that works in a way that was intended, but it 261 00:15:36,880 --> 00:15:40,960 Speaker 1: works in other ways in additions, and those additional things 262 00:15:41,000 --> 00:15:44,800 Speaker 1: that it does we're not well understood, have not been 263 00:15:44,840 --> 00:15:50,160 Speaker 1: well understood have been largely disregarded and um, and you know, 264 00:15:50,200 --> 00:15:54,240 Speaker 1: and the products have been pushed at all costs, regardless 265 00:15:54,360 --> 00:15:56,600 Speaker 1: of the effects that they've had. Do you think they 266 00:15:56,720 --> 00:16:00,200 Speaker 1: used the fog of war, so to speak, at time 267 00:16:00,240 --> 00:16:03,200 Speaker 1: of crisis to essentially get something to the market where 268 00:16:03,600 --> 00:16:08,160 Speaker 1: they obviously failed to do so previously. Um, It's it's 269 00:16:08,200 --> 00:16:12,080 Speaker 1: hard to know. I think that we went into this 270 00:16:12,240 --> 00:16:18,240 Speaker 1: with a dramatic amount of hubris that President Trump was 271 00:16:19,200 --> 00:16:21,560 Speaker 1: must have been fooled and in fact still seems to 272 00:16:21,560 --> 00:16:25,840 Speaker 1: be fooled, that the vaccines have been a major benefit 273 00:16:26,000 --> 00:16:29,240 Speaker 1: to our society as a whole. I think that that 274 00:16:29,280 --> 00:16:34,240 Speaker 1: has not been accurate. And the vaccines have created a 275 00:16:34,280 --> 00:16:39,600 Speaker 1: lot of damage, and it's not clear that they lives 276 00:16:39,720 --> 00:16:43,280 Speaker 1: that they supposedly have saved have has been an accurate 277 00:16:45,240 --> 00:16:49,360 Speaker 1: estimate of that fact or not. And we know now 278 00:16:50,040 --> 00:16:52,040 Speaker 1: something that I was saying a year ago, which is 279 00:16:52,080 --> 00:16:56,680 Speaker 1: that the vaccines do not suppress infection transmission between people. 280 00:16:57,200 --> 00:17:01,520 Speaker 1: That the vaccines the verse two weeks, they increase risk 281 00:17:01,600 --> 00:17:05,280 Speaker 1: of getting COVID. After two weeks after the job, then 282 00:17:05,359 --> 00:17:08,040 Speaker 1: you start to see some benefit. That benefit lasts for 283 00:17:08,080 --> 00:17:10,840 Speaker 1: a variable amount of time after the after the second 284 00:17:10,880 --> 00:17:14,960 Speaker 1: dose it lasts for twelve to fifteen weeks or so. 285 00:17:15,480 --> 00:17:18,760 Speaker 1: After the first boosters last for six to ten weeks 286 00:17:18,880 --> 00:17:22,320 Speaker 1: or so, and then after the fourth booster last for 287 00:17:22,440 --> 00:17:25,960 Speaker 1: four to six weeks. And after these variable amount of 288 00:17:26,040 --> 00:17:29,439 Speaker 1: time the benefit goes to zero and and it may 289 00:17:29,520 --> 00:17:31,840 Speaker 1: go negative. There's evidence of that it goes negative, meaning 290 00:17:31,880 --> 00:17:35,280 Speaker 1: that after long periods of time after having taken the vaccines, 291 00:17:35,600 --> 00:17:39,359 Speaker 1: people are at increased risk of getting and transmitting COVID. Now, 292 00:17:39,480 --> 00:17:42,120 Speaker 1: the issue is if you're doing to take a vaccine 293 00:17:42,119 --> 00:17:44,160 Speaker 1: that you think is going to save you from dying 294 00:17:44,240 --> 00:17:47,199 Speaker 1: or from getting hostilized, then to your choice, you know 295 00:17:47,760 --> 00:17:50,520 Speaker 1: it might be rational. You evaluate it for yourself. It's 296 00:17:50,520 --> 00:17:53,639 Speaker 1: your treatment as your choice. It's not the government's choice 297 00:17:53,640 --> 00:17:55,520 Speaker 1: to force you to do that. The government only has 298 00:17:55,560 --> 00:18:00,160 Speaker 1: an interest in having people keep from spreading the action 299 00:18:00,240 --> 00:18:03,359 Speaker 1: to other people. And that's the only rationale for a 300 00:18:03,480 --> 00:18:08,080 Speaker 1: government interest in vaccination. And the vaccines have failed in that. 301 00:18:08,320 --> 00:18:12,600 Speaker 1: And the CDC said on August eleven that two doses 302 00:18:12,640 --> 00:18:16,480 Speaker 1: of the vaccine do not prevent transmission, and that the 303 00:18:16,520 --> 00:18:21,080 Speaker 1: booster dose UH provides only a transient benefit that wanes 304 00:18:21,960 --> 00:18:24,840 Speaker 1: and the fact of their statement of a transient benefit 305 00:18:24,920 --> 00:18:28,439 Speaker 1: that wanes means that the vaccines have failed as a 306 00:18:28,480 --> 00:18:32,320 Speaker 1: tool for managing the pandemic. Is as a public health tool, 307 00:18:32,320 --> 00:18:37,119 Speaker 1: they fails. So the only rationale for our government to 308 00:18:37,280 --> 00:18:42,080 Speaker 1: mandate vaccination is to suppress transmission. And the CDC has 309 00:18:42,160 --> 00:18:46,040 Speaker 1: now said that the vaccines do not do that, which 310 00:18:46,080 --> 00:18:48,440 Speaker 1: we knew. We've known for a year anyway, but now 311 00:18:48,520 --> 00:18:51,919 Speaker 1: the CDC made it official to it speak, And so 312 00:18:52,000 --> 00:18:56,080 Speaker 1: there is no rationale for taking the vaccine other than 313 00:18:56,119 --> 00:18:59,720 Speaker 1: one's personal choice. If you have informed consent, If if 314 00:19:00,200 --> 00:19:04,080 Speaker 1: you think that you're in a condition where your risks 315 00:19:04,080 --> 00:19:09,400 Speaker 1: of doing poorly from COVID are are higher than your 316 00:19:09,480 --> 00:19:14,000 Speaker 1: risks of being injured from the vaccine, then that's your 317 00:19:14,119 --> 00:19:17,159 Speaker 1: rational choice as long as you can get accurate information. Uh, 318 00:19:17,240 --> 00:19:19,720 Speaker 1: you know, in both directions, that's the kind of choice 319 00:19:19,720 --> 00:19:22,480 Speaker 1: that people are supposed to have, not to be forced 320 00:19:22,760 --> 00:19:27,240 Speaker 1: to do something that conveys nut does not necessarily convey 321 00:19:27,760 --> 00:19:31,440 Speaker 1: benefit to themselves and certainly isn't working for its intended 322 00:19:31,520 --> 00:19:35,760 Speaker 1: governmental sanction, which is to prevent transmission. Well see, I remember, 323 00:19:36,119 --> 00:19:38,959 Speaker 1: you know, a year ago to your point saying that 324 00:19:39,000 --> 00:19:41,919 Speaker 1: the vaccines weren't stopping the spread of COVID because that 325 00:19:42,040 --> 00:19:44,440 Speaker 1: was the only justification for young and healthy people to 326 00:19:44,520 --> 00:19:48,280 Speaker 1: get it was, oh, we'll protect your neighbors, protect your family, 327 00:19:48,320 --> 00:19:50,359 Speaker 1: and then of course we're allied to about that because 328 00:19:50,400 --> 00:19:52,600 Speaker 1: I think they wanted people to go out and get 329 00:19:52,600 --> 00:19:54,160 Speaker 1: it in and people would be like, oh, you don't 330 00:19:54,200 --> 00:19:56,800 Speaker 1: know that, and I'm like, well, there's anecdotal evidence of 331 00:19:56,840 --> 00:20:01,120 Speaker 1: a growing list of public our public figures, celebrities who 332 00:20:01,359 --> 00:20:04,360 Speaker 1: you know, say they're like these breakthrough cases, right, and 333 00:20:04,359 --> 00:20:07,080 Speaker 1: and the list keeps growing. So anecdotally, I can see 334 00:20:07,160 --> 00:20:10,080 Speaker 1: for myself that the vaccine is not stopping the spread. 335 00:20:10,840 --> 00:20:14,800 Speaker 1: But but you know, we're told that these vaccines are safe, 336 00:20:15,160 --> 00:20:19,000 Speaker 1: but most vaccines have five the ten years of safety data. 337 00:20:19,280 --> 00:20:24,960 Speaker 1: So how do we actually know that these vaccines are safe. Well, 338 00:20:25,040 --> 00:20:27,359 Speaker 1: not only do we not know that they're safe, we 339 00:20:27,400 --> 00:20:30,040 Speaker 1: know that they're not safe. So here's the here's the problem. 340 00:20:30,440 --> 00:20:34,080 Speaker 1: Suppose you design a bridge over a river and one 341 00:20:34,160 --> 00:20:37,199 Speaker 1: car and in two thousand falls into the river. You know, 342 00:20:37,280 --> 00:20:39,119 Speaker 1: day in, day out there's cars falling into here, but 343 00:20:39,119 --> 00:20:41,560 Speaker 1: that's only one in two thousand. You know, does that 344 00:20:41,600 --> 00:20:45,080 Speaker 1: mean the bridge is unsafe or or or what would 345 00:20:45,080 --> 00:20:49,320 Speaker 1: you drive across the bridge. Probably. See as for an individual, 346 00:20:50,240 --> 00:20:53,240 Speaker 1: a risk that's at that low level would be construed 347 00:20:53,280 --> 00:20:56,320 Speaker 1: to be relatively safe. If you had such a dire 348 00:20:56,680 --> 00:20:59,720 Speaker 1: circumstance where you have to make a life threatening the 349 00:20:59,800 --> 00:21:02,120 Speaker 1: city Asian, and you had a risk like that, you'd say, 350 00:21:02,160 --> 00:21:04,480 Speaker 1: I'll go for it. That's a low risk. On the 351 00:21:04,520 --> 00:21:09,199 Speaker 1: other hand, if you vaccinate million people multiple times was 352 00:21:09,320 --> 00:21:11,560 Speaker 1: something that has a risk of one and two thousands, 353 00:21:11,560 --> 00:21:14,320 Speaker 1: you're gonna have tens of thousands of people who are injured, 354 00:21:14,840 --> 00:21:18,480 Speaker 1: you know, seriously or or killed over it, even with 355 00:21:18,560 --> 00:21:23,040 Speaker 1: such a low risk. And in vaccinating the United States, 356 00:21:23,359 --> 00:21:27,560 Speaker 1: we have never allowed for vaccines to be widely used 357 00:21:27,640 --> 00:21:30,400 Speaker 1: that have had anything like that high level of risk. 358 00:21:30,720 --> 00:21:33,359 Speaker 1: So it's a low risk for an individual, it's a 359 00:21:33,400 --> 00:21:37,520 Speaker 1: big risk for the society in the public, and we've 360 00:21:37,560 --> 00:21:40,560 Speaker 1: never allowed that. And that's why the vaccines now within 361 00:21:40,600 --> 00:21:45,320 Speaker 1: the numbers of adverse events that's astronomic. It's still, you know, 362 00:21:45,440 --> 00:21:48,080 Speaker 1: not a big risk for most individuals, but there are 363 00:21:48,119 --> 00:21:51,119 Speaker 1: some who are you know, very seriously hurt from the 364 00:21:51,200 --> 00:21:54,000 Speaker 1: vaccines and some who have died. And you know, the 365 00:21:54,080 --> 00:21:58,080 Speaker 1: daily theater of some sports person who dies on the field, 366 00:21:58,200 --> 00:22:01,440 Speaker 1: or or a media person who dies, you know, one 367 00:22:01,480 --> 00:22:03,680 Speaker 1: way or the other, a young person without a parent. 368 00:22:03,720 --> 00:22:06,720 Speaker 1: Cause we were seeing this day and day out for 369 00:22:06,840 --> 00:22:11,200 Speaker 1: months or years now that people are just saying, oh, 370 00:22:11,320 --> 00:22:13,080 Speaker 1: I don't know why they're dying, you know, I mean, 371 00:22:13,119 --> 00:22:15,720 Speaker 1: as if there's no interest in even trying to figure 372 00:22:15,760 --> 00:22:19,240 Speaker 1: it out. It's absurd that we know that these vaccines 373 00:22:19,480 --> 00:22:23,119 Speaker 1: are doing damage. We know that the mortality has increased 374 00:22:23,119 --> 00:22:26,800 Speaker 1: for non COVID causes of death in middle aged people 375 00:22:27,520 --> 00:22:34,680 Speaker 1: in the end and into that is almost certainly attributable 376 00:22:34,840 --> 00:22:41,880 Speaker 1: to the vaccination programs, the widespread vaccination programs, and we're 377 00:22:41,920 --> 00:22:46,520 Speaker 1: just as a society ignoring this because all of the 378 00:22:47,720 --> 00:22:51,560 Speaker 1: media propaganda is basically pushing that. The amount of media 379 00:22:51,600 --> 00:22:54,160 Speaker 1: propaganda today is so absurd. I don't see how any 380 00:22:54,240 --> 00:22:58,199 Speaker 1: rational person could watch any of the regular media and 381 00:22:58,359 --> 00:23:00,800 Speaker 1: think that these people have any idea what they're talking about. 382 00:23:00,800 --> 00:23:03,160 Speaker 1: Their mouths are moving, but they're making they make no sense, 383 00:23:03,440 --> 00:23:06,800 Speaker 1: you know. Here and there, I watched some commentators saying something, 384 00:23:07,200 --> 00:23:12,679 Speaker 1: and it's absurd. These commentators are saying things written for 385 00:23:12,760 --> 00:23:15,840 Speaker 1: them that were that were written by commissars, you know, 386 00:23:15,920 --> 00:23:20,280 Speaker 1: in in in somebtalitarian regime trying to make theater and 387 00:23:20,320 --> 00:23:23,600 Speaker 1: make people believe that the public theater. This is not 388 00:23:23,720 --> 00:23:25,679 Speaker 1: the way our society is supposed to work. People are 389 00:23:25,720 --> 00:23:28,040 Speaker 1: supposed to have brains, they're supposed to ask questions, and 390 00:23:28,040 --> 00:23:30,560 Speaker 1: they're supposed to try to make things make sense for them, 391 00:23:30,600 --> 00:23:33,359 Speaker 1: and our society has just totally given up on that 392 00:23:33,480 --> 00:23:36,399 Speaker 1: as far as I can tell. Quick break more on 393 00:23:36,480 --> 00:23:45,360 Speaker 1: the COVID craziness. I got so much the first thing, 394 00:23:45,440 --> 00:23:47,520 Speaker 1: I wasn't going to get vaccinated, but it was based 395 00:23:47,520 --> 00:23:49,840 Speaker 1: off of that simple premise of why am I going 396 00:23:49,960 --> 00:23:52,359 Speaker 1: to inject something into my body that doesn't stop me 397 00:23:52,400 --> 00:23:54,879 Speaker 1: from giving it to other people for a virus that 398 00:23:55,000 --> 00:23:56,720 Speaker 1: is not a threat to my life when I have 399 00:23:56,800 --> 00:23:59,399 Speaker 1: no idea what this thing whatever and A would do 400 00:23:59,400 --> 00:24:02,119 Speaker 1: to me in the long term, or if it's even safe. 401 00:24:02,119 --> 00:24:05,440 Speaker 1: And sadly, to your point, we have forced so many 402 00:24:05,480 --> 00:24:08,679 Speaker 1: people to get a vaccine that is unsafe, that they 403 00:24:08,720 --> 00:24:11,520 Speaker 1: do not need, for virus that is not statistically a 404 00:24:11,560 --> 00:24:14,360 Speaker 1: threat to their life. And I heard you say one 405 00:24:14,440 --> 00:24:17,360 Speaker 1: in two thousand, what are those numbers for the flu 406 00:24:17,440 --> 00:24:21,040 Speaker 1: shot for for instance? Because my understanding is the adverse 407 00:24:21,080 --> 00:24:25,919 Speaker 1: reactions to covid vaccine is significantly higher than what it 408 00:24:26,000 --> 00:24:28,760 Speaker 1: is for for something like the flu shot. Well, the 409 00:24:28,800 --> 00:24:30,720 Speaker 1: one in two thousand I was I was just using 410 00:24:30,720 --> 00:24:33,760 Speaker 1: as an example. I wasn't saying that there's anything specific 411 00:24:33,800 --> 00:24:37,000 Speaker 1: about the covid vaccine that's one in two thousands. It's 412 00:24:38,280 --> 00:24:41,600 Speaker 1: just an example. But you're right that the adverance events 413 00:24:41,600 --> 00:24:44,399 Speaker 1: from all of the flu shots recorded in the Bear's 414 00:24:44,520 --> 00:24:48,160 Speaker 1: database up to the present are in order of magnitude 415 00:24:48,240 --> 00:24:50,680 Speaker 1: left and just one or a year and a half 416 00:24:50,760 --> 00:24:55,680 Speaker 1: worth of adverse events recorded for the covid vaccines, So 417 00:24:55,880 --> 00:25:00,159 Speaker 1: they are definitely orders of magnitude less safe the on 418 00:25:00,600 --> 00:25:03,719 Speaker 1: them the flu vaccines well, and to that point, you know, 419 00:25:03,920 --> 00:25:06,840 Speaker 1: when you cite BEARS, you get shut down by the media, 420 00:25:07,000 --> 00:25:11,080 Speaker 1: when in reality, BEARS is a national vaccine safety surveillance 421 00:25:11,080 --> 00:25:13,399 Speaker 1: program that is post sponsored by the f d A 422 00:25:13,680 --> 00:25:15,840 Speaker 1: and the c d C. And if you look at 423 00:25:15,840 --> 00:25:19,680 Speaker 1: the numbers, there have been more adverse reactions, permanent disabilities 424 00:25:19,720 --> 00:25:22,760 Speaker 1: and deaths reported to BEARS for the covid vaccine since 425 00:25:22,800 --> 00:25:28,480 Speaker 1: December alone then all other vaccines combined from nineteen to present. 426 00:25:28,720 --> 00:25:31,600 Speaker 1: Yet for media is uninterested in getting to the bottom 427 00:25:31,600 --> 00:25:35,359 Speaker 1: of it. The or public health officials don't seem to care, 428 00:25:35,520 --> 00:25:38,000 Speaker 1: and the politicians don't seem to care, and in a 429 00:25:38,040 --> 00:25:41,720 Speaker 1: lot of instances they're still pushing these vaccines on people. 430 00:25:41,880 --> 00:25:44,480 Speaker 1: When you know, if you look at theirs and you 431 00:25:44,520 --> 00:25:46,320 Speaker 1: look at these different things like you mentioned, you know 432 00:25:46,320 --> 00:25:48,480 Speaker 1: a lot of reports of young people seemingly to get 433 00:25:48,480 --> 00:25:51,240 Speaker 1: you know, bells PAUSI or whenever it is, or or 434 00:25:51,280 --> 00:25:54,120 Speaker 1: a dying of cardiac arrest, and yet no one seems 435 00:25:54,160 --> 00:25:58,879 Speaker 1: interested in wondering why, right, I mean, it's all gaslighting. 436 00:25:59,480 --> 00:26:05,400 Speaker 1: I think this is all, you know, attempts to distract 437 00:26:05,400 --> 00:26:08,800 Speaker 1: people from asking these questions as to what's going on 438 00:26:09,119 --> 00:26:14,919 Speaker 1: and who's responsible. And I just don't really know what 439 00:26:14,960 --> 00:26:19,280 Speaker 1: country we're living in anymore. If if you people cannot 440 00:26:19,359 --> 00:26:23,679 Speaker 1: address the questions of concern in the in the population 441 00:26:24,000 --> 00:26:27,280 Speaker 1: that anyone takes them seriously, and people see them with 442 00:26:27,320 --> 00:26:31,719 Speaker 1: their own eyes, and nobody takes those concerns seriously. You know, 443 00:26:32,080 --> 00:26:35,480 Speaker 1: this is not a society that I envisioned the United 444 00:26:35,520 --> 00:26:39,720 Speaker 1: States ever being in, where it sees the government sees 445 00:26:39,760 --> 00:26:44,960 Speaker 1: its role to misrepresent everything for some ulterior purpose against 446 00:26:44,960 --> 00:26:48,880 Speaker 1: the population. And the new COVID booster was tested on mice. 447 00:26:49,359 --> 00:26:53,199 Speaker 1: Is that normal? Oh, it's silly. UM. I think that 448 00:26:53,200 --> 00:26:57,960 Speaker 1: that that that's all just theater again more theater that. Um. 449 00:26:58,200 --> 00:27:03,360 Speaker 1: The COVID have the half new booster, it's only half new. Um. 450 00:27:03,400 --> 00:27:05,600 Speaker 1: If people take it now, it'll be useless by the 451 00:27:05,600 --> 00:27:07,760 Speaker 1: time we actually get to have a wave in the 452 00:27:07,800 --> 00:27:09,399 Speaker 1: winter if we have one. And I don't know that 453 00:27:09,440 --> 00:27:10,879 Speaker 1: we're going to have a wave of COVID in the 454 00:27:10,920 --> 00:27:13,159 Speaker 1: winter or not. If we do, of course it's going 455 00:27:13,200 --> 00:27:16,719 Speaker 1: to be o maicron. The likelihood is the CDC's own 456 00:27:16,840 --> 00:27:20,399 Speaker 1: data now are showing that the B A four point 457 00:27:20,520 --> 00:27:25,040 Speaker 1: six variant is going is pushing out the current b 458 00:27:25,160 --> 00:27:28,359 Speaker 1: A five, that the half new booster was calibrated to 459 00:27:28,400 --> 00:27:31,520 Speaker 1: work against B A five and won't be very effective 460 00:27:31,520 --> 00:27:35,359 Speaker 1: against B A four point six, And furthermore that after 461 00:27:35,400 --> 00:27:38,440 Speaker 1: four to six weeks after getting that booster, it will 462 00:27:38,520 --> 00:27:42,000 Speaker 1: be useless, as all of the previous boosters have been 463 00:27:42,080 --> 00:27:46,359 Speaker 1: after four to six weeks, and therefore taking something now 464 00:27:46,760 --> 00:27:50,040 Speaker 1: to head off um, you know, a possible wave of 465 00:27:50,119 --> 00:27:53,960 Speaker 1: a different strain in that will be apparent in December. 466 00:27:54,000 --> 00:27:57,359 Speaker 1: The B A four point six will be the majority strain. 467 00:27:57,440 --> 00:28:01,280 Speaker 1: Most likely sometime in the middle of December, if there's 468 00:28:01,280 --> 00:28:04,719 Speaker 1: a wave and then, you know, and the current booster 469 00:28:04,800 --> 00:28:06,800 Speaker 1: will not address it, it will be it will have 470 00:28:06,920 --> 00:28:09,760 Speaker 1: failed by them, just like the CDC has said, the 471 00:28:09,760 --> 00:28:14,440 Speaker 1: current boosters are transient in wane and fail, and that's 472 00:28:14,480 --> 00:28:17,080 Speaker 1: where we'll be. And so the current booster is a 473 00:28:17,160 --> 00:28:20,600 Speaker 1: useless product. If somebody actually were to think about what 474 00:28:20,640 --> 00:28:22,960 Speaker 1: they should do about it, if they were really concerned, 475 00:28:23,000 --> 00:28:25,359 Speaker 1: the answer is wait till the end of November, see 476 00:28:25,359 --> 00:28:27,720 Speaker 1: what's happening, and then decide whether to take the booster 477 00:28:27,840 --> 00:28:30,040 Speaker 1: or not, to see whether the booster actually might still 478 00:28:30,080 --> 00:28:33,040 Speaker 1: work when it's taken fresh, as opposed to a month 479 00:28:33,080 --> 00:28:35,959 Speaker 1: and a half in the you know, earlier, when it 480 00:28:35,960 --> 00:28:40,520 Speaker 1: it's already lost all of its efficacy. So there's the 481 00:28:40,560 --> 00:28:44,960 Speaker 1: whole booster premise now is absurd again, as as everything else. 482 00:28:45,320 --> 00:28:48,760 Speaker 1: If people don't use their common sense, they let the government, 483 00:28:49,200 --> 00:28:51,680 Speaker 1: you know, tell them these things that make no sense, 484 00:28:51,800 --> 00:28:56,280 Speaker 1: and nobody's asking questions, do we know what the fatality 485 00:28:56,360 --> 00:29:00,680 Speaker 1: rate of COVID is today? The fatality rate of COVID, 486 00:29:00,720 --> 00:29:04,560 Speaker 1: my understanding is it's about across the board, it's about 487 00:29:04,640 --> 00:29:10,560 Speaker 1: less than point two two. So that's just slightly more 488 00:29:10,600 --> 00:29:15,680 Speaker 1: than the flu, right, it's comparable to the flu. I 489 00:29:15,720 --> 00:29:18,520 Speaker 1: don't think I think it's probably less than the flu. 490 00:29:18,720 --> 00:29:23,360 Speaker 1: I think that in very elderly individuals, meaning older than me, 491 00:29:23,480 --> 00:29:27,840 Speaker 1: that's a joke. Um people, people over age eight or 492 00:29:27,840 --> 00:29:31,840 Speaker 1: eighty five, who are you know, have more serious risks 493 00:29:32,080 --> 00:29:35,720 Speaker 1: of doing poorly with any respiratory illness, any respiratory infection, 494 00:29:35,800 --> 00:29:39,280 Speaker 1: including COVID. Those are the ones who need to address 495 00:29:39,320 --> 00:29:42,640 Speaker 1: what their risks are and what their their treatments optimally 496 00:29:42,640 --> 00:29:48,520 Speaker 1: should be. And for everybody else, the the risk of 497 00:29:48,520 --> 00:29:52,880 Speaker 1: doing poorly from the infection is vanishing lee small unless 498 00:29:52,920 --> 00:29:56,720 Speaker 1: people have co morbidity, so you know, obesity, chronic cardiovascular disease, 499 00:29:56,800 --> 00:30:01,040 Speaker 1: chronic kidney disease, having had cancer, things like that. Those 500 00:30:01,040 --> 00:30:03,280 Speaker 1: are the things you discussed with your doctor, you know, 501 00:30:03,320 --> 00:30:06,040 Speaker 1: to get informed consent about what to do. For most 502 00:30:06,080 --> 00:30:09,480 Speaker 1: healthy people, there's there's no point in worrying about any 503 00:30:09,520 --> 00:30:13,960 Speaker 1: of this. It's less than a clue. It really raises 504 00:30:14,120 --> 00:30:18,680 Speaker 1: some serious questions about what is the true motivation of 505 00:30:18,720 --> 00:30:23,360 Speaker 1: these bad things being approved by some of these people. Well, 506 00:30:23,600 --> 00:30:32,040 Speaker 1: you know, I've watched um Fauci's interview UH Congressional testimony 507 00:30:32,560 --> 00:30:36,800 Speaker 1: and the question about whether the people on these committees 508 00:30:37,200 --> 00:30:41,960 Speaker 1: are have conflicts of interest. The answer is that a 509 00:30:42,040 --> 00:30:45,120 Speaker 1: large number of them have conflicts of interest because they 510 00:30:45,840 --> 00:30:51,760 Speaker 1: have to sign agreements saying to reveal the relationships they've 511 00:30:51,800 --> 00:30:56,520 Speaker 1: had with pharma companies. And they've done that, and about 512 00:30:56,560 --> 00:30:58,600 Speaker 1: half of them have been honest about it, and half 513 00:30:58,640 --> 00:31:02,720 Speaker 1: of them have concealed their their relationships. But those relationships 514 00:31:02,760 --> 00:31:07,120 Speaker 1: were determined because they're they're the paper trail of a 515 00:31:07,120 --> 00:31:10,920 Speaker 1: lot of this, and people have been investigated the individuals. 516 00:31:11,440 --> 00:31:16,120 Speaker 1: Now you have to realize that that the government makes 517 00:31:15,920 --> 00:31:19,800 Speaker 1: a justification for having these conflicted people on these committees, 518 00:31:19,880 --> 00:31:21,840 Speaker 1: to say, well, these are the people who work in 519 00:31:21,880 --> 00:31:23,560 Speaker 1: the industry, are the ones who know the most about 520 00:31:23,560 --> 00:31:25,720 Speaker 1: the products. You know, we're not going to pick somebody 521 00:31:25,760 --> 00:31:28,920 Speaker 1: off the street. It's got no experience, and just because 522 00:31:28,960 --> 00:31:31,560 Speaker 1: they're not conflicted. And the answer of that, of course, 523 00:31:31,920 --> 00:31:34,240 Speaker 1: is there's plenty of people who have expertise who are 524 00:31:34,240 --> 00:31:40,160 Speaker 1: not conflicted. The the numbers of conflicted people on these 525 00:31:40,160 --> 00:31:46,120 Speaker 1: committees is way too large. It's been tolerated by the 526 00:31:46,280 --> 00:31:50,880 Speaker 1: uh f DA and the CDC for years as part 527 00:31:50,920 --> 00:31:56,560 Speaker 1: of their corruption. They're they're complete control by the pharma industry, 528 00:31:57,160 --> 00:32:04,280 Speaker 1: that those UH agent sees basically are not doing objective review. 529 00:32:04,600 --> 00:32:08,280 Speaker 1: They are making it look like they've done something like 530 00:32:08,320 --> 00:32:10,920 Speaker 1: a scientific review when they're not. The fact that that 531 00:32:11,560 --> 00:32:16,320 Speaker 1: they think that measuring antibody levels has any relationship to 532 00:32:16,840 --> 00:32:22,080 Speaker 1: adult immunity is absurd. That adults maintain immunity even when 533 00:32:22,080 --> 00:32:25,160 Speaker 1: their antibody levels go to zero. That's what happens over 534 00:32:25,200 --> 00:32:27,720 Speaker 1: a long time. Otherwise our blood will all be filled 535 00:32:27,800 --> 00:32:30,400 Speaker 1: up with all the antibodies of every infection we've ever had. 536 00:32:31,360 --> 00:32:34,920 Speaker 1: We stay are are cells stay ready to make antibodies. 537 00:32:34,920 --> 00:32:38,320 Speaker 1: But the antibody levels go to drop over time, and 538 00:32:38,360 --> 00:32:40,920 Speaker 1: that doesn't mean you lose immunity. We still have immunity 539 00:32:40,920 --> 00:32:44,880 Speaker 1: to all those past infections that we've had. And so 540 00:32:45,280 --> 00:32:48,400 Speaker 1: for the f d A and you know and CDC 541 00:32:48,640 --> 00:32:53,360 Speaker 1: to hold up UH antibody levels and mice as as 542 00:32:53,400 --> 00:32:57,520 Speaker 1: a statement that people are going to make immunity for 543 00:32:58,280 --> 00:33:03,920 Speaker 1: this infection is just part of beyond absurd aftring theater. 544 00:33:04,280 --> 00:33:07,920 Speaker 1: It has no relationship to actual science. It's not even plausible. 545 00:33:08,560 --> 00:33:11,200 Speaker 1: And Dr fouching his way if their net worth increased 546 00:33:11,200 --> 00:33:14,640 Speaker 1: by five billions during COVID as so many Americans suffered 547 00:33:14,880 --> 00:33:17,760 Speaker 1: financially and with the loss of life as a result 548 00:33:17,840 --> 00:33:20,920 Speaker 1: of him pushing blockdowns that he knew didn't work, yet 549 00:33:21,040 --> 00:33:23,040 Speaker 1: pushed them anyways, and pushing the vaccine that he knew 550 00:33:23,040 --> 00:33:25,480 Speaker 1: didn't work, get pushed it anyways. So it's just a 551 00:33:25,520 --> 00:33:28,280 Speaker 1: sad statement of someone who is supposed to be in 552 00:33:28,280 --> 00:33:31,959 Speaker 1: a position where he's guiding us with transparency and truth 553 00:33:32,000 --> 00:33:34,760 Speaker 1: and instead it's been nothing but lies in personal profit 554 00:33:35,520 --> 00:33:37,880 Speaker 1: for himself. But I wanted to get into something that 555 00:33:37,920 --> 00:33:40,560 Speaker 1: you just launched and give you some time to talk 556 00:33:40,600 --> 00:33:44,160 Speaker 1: about this. Um So you've launched the Wellness Company, which 557 00:33:44,200 --> 00:33:47,600 Speaker 1: is a telehealth company focused on prevention and medical freedom. 558 00:33:48,320 --> 00:33:50,480 Speaker 1: Why did you launch it and and what are you 559 00:33:50,520 --> 00:33:54,920 Speaker 1: hoping to accomplish with it? Well? Over the last two 560 00:33:54,960 --> 00:33:59,040 Speaker 1: and a half years, um uh, as I've had some 561 00:33:59,320 --> 00:34:04,680 Speaker 1: media exposure and tention, lots of doctors have emailed me 562 00:34:05,160 --> 00:34:07,600 Speaker 1: and formed a discussion group, and now it's about two 563 00:34:07,640 --> 00:34:13,239 Speaker 1: hundred fifty positions and the amount of frustration that's registered 564 00:34:13,320 --> 00:34:17,000 Speaker 1: over doctors who have wanted to treat COVID patients, who 565 00:34:17,080 --> 00:34:19,319 Speaker 1: you know, who have had to do it secretly, who 566 00:34:19,400 --> 00:34:23,560 Speaker 1: have to get these medications hydroxic work and ivermecton and 567 00:34:23,600 --> 00:34:28,560 Speaker 1: others to their patients that where pharmacies refused to fill them, 568 00:34:29,000 --> 00:34:31,959 Speaker 1: or the medical boards if they found out, would would 569 00:34:32,040 --> 00:34:36,160 Speaker 1: remove their their fellowships there, you know, their specialty fellowship 570 00:34:36,239 --> 00:34:40,760 Speaker 1: certifications and things like that. Is just been a total 571 00:34:40,800 --> 00:34:44,680 Speaker 1: work of suppression against medical care, and so there is 572 00:34:44,719 --> 00:34:49,439 Speaker 1: a large amount of frustration among doctors who know that 573 00:34:49,840 --> 00:34:54,759 Speaker 1: COVID can be treated as an outpatient illness very successfully, 574 00:34:55,080 --> 00:34:58,719 Speaker 1: that those medications were suppressed, and Fauci was at the 575 00:34:58,760 --> 00:35:02,840 Speaker 1: head of that suppression when he said that the evidence 576 00:35:03,400 --> 00:35:10,800 Speaker 1: for hydroxic orpin was his word anecdotal. That's a lie um. 577 00:35:11,040 --> 00:35:14,960 Speaker 1: Epidemiologic evidence in the form of non randomized but control 578 00:35:15,040 --> 00:35:18,839 Speaker 1: trials are not anecdotes. That is not not a an 579 00:35:18,880 --> 00:35:22,719 Speaker 1: accurate statement. His use of that statement to me is 580 00:35:22,760 --> 00:35:26,560 Speaker 1: a fraud and should be prosecuted because it's set the 581 00:35:26,600 --> 00:35:30,400 Speaker 1: tenor of the government regulation and suppression of that medication, 582 00:35:30,640 --> 00:35:34,040 Speaker 1: which led to the deaths of half a million Americans unnecessarily. 583 00:35:34,800 --> 00:35:38,440 Speaker 1: That is the climate that doctors have been trying to 584 00:35:38,880 --> 00:35:41,120 Speaker 1: deal with of being wanting to be able to use 585 00:35:41,160 --> 00:35:44,400 Speaker 1: these medications and not being able to being in medical 586 00:35:44,440 --> 00:35:47,880 Speaker 1: practices that has said you can see patients, but you 587 00:35:47,920 --> 00:35:50,440 Speaker 1: can only use the medications that the practice allows you 588 00:35:50,480 --> 00:35:53,680 Speaker 1: to use, and and so on, and there's so much 589 00:35:53,760 --> 00:35:57,560 Speaker 1: of this frustration that this led a number of us 590 00:35:57,840 --> 00:36:02,400 Speaker 1: to work through the idea of setting up a telemedicine 591 00:36:02,400 --> 00:36:07,319 Speaker 1: company that would be free from these constraints UH and 592 00:36:07,480 --> 00:36:11,319 Speaker 1: being able to use any legal approved medications for the 593 00:36:11,360 --> 00:36:15,760 Speaker 1: purpose of treating COVID and any other illness that patients 594 00:36:15,800 --> 00:36:22,600 Speaker 1: present with. And this idea was enabled by the entrepreneur 595 00:36:22,680 --> 00:36:27,680 Speaker 1: Foster Coulson, who has been working with Dr zelenka on 596 00:36:27,680 --> 00:36:34,120 Speaker 1: On who started the patient treatment with hydroxy for quin 597 00:36:34,160 --> 00:36:40,120 Speaker 1: and other medications back in in early and Colson had 598 00:36:40,160 --> 00:36:46,160 Speaker 1: basically organized the day to day aspect of making a 599 00:36:46,160 --> 00:36:50,600 Speaker 1: company to do the telemedicine and that's the Wellness Company 600 00:36:51,160 --> 00:36:55,399 Speaker 1: that I and Dr Peter McCullough, doctor Richard Amling doctor 601 00:36:56,120 --> 00:37:03,000 Speaker 1: how their guestling are for physicians and scientists involved in 602 00:37:03,640 --> 00:37:06,560 Speaker 1: providing guidance to the company to be able to use 603 00:37:06,680 --> 00:37:12,040 Speaker 1: best available scientific evidence. And we've just gone online about 604 00:37:12,040 --> 00:37:17,160 Speaker 1: a week ago starting to UH do patient appointments, provide 605 00:37:18,239 --> 00:37:21,920 Speaker 1: vitamins and supplements that patients might want to use. And 606 00:37:22,600 --> 00:37:26,520 Speaker 1: UM we also have a whole educational component of the 607 00:37:26,600 --> 00:37:31,200 Speaker 1: company that provides access to original scientific papers of all 608 00:37:31,239 --> 00:37:36,120 Speaker 1: the papers of the treatments that we that our doctors 609 00:37:36,200 --> 00:37:40,600 Speaker 1: are using, and both doctors can read them and lay 610 00:37:40,640 --> 00:37:43,120 Speaker 1: people can read them and try to make sense for 611 00:37:43,160 --> 00:37:47,239 Speaker 1: themselves where medicine is ad and what medical evidence is 612 00:37:47,280 --> 00:37:51,400 Speaker 1: ad and and read the originals and question the originals 613 00:37:51,400 --> 00:37:54,640 Speaker 1: and not what people with vested interests are telling them 614 00:37:54,640 --> 00:37:58,839 Speaker 1: the science says when it doesn't. So we're very optimistic. 615 00:37:59,200 --> 00:38:04,480 Speaker 1: The patients have started receiving care through our talentedan UH group. 616 00:38:04,719 --> 00:38:09,160 Speaker 1: It's a person to person in person by zoom telemedicine, 617 00:38:09,200 --> 00:38:13,280 Speaker 1: which means you actually have an interaction with the doctor. 618 00:38:13,920 --> 00:38:17,239 Speaker 1: It's UM very cost effective. We're trying to make this 619 00:38:17,680 --> 00:38:21,040 Speaker 1: reasonably priced so that people can afford it when they 620 00:38:21,040 --> 00:38:24,680 Speaker 1: need it and that it provides the service that is 621 00:38:24,680 --> 00:38:27,040 Speaker 1: worthwhile to them. And I think, you know, we've had 622 00:38:27,280 --> 00:38:30,239 Speaker 1: a very large amount of interest already and it's it's 623 00:38:30,280 --> 00:38:34,439 Speaker 1: been UM expanding rapidly. And the other thing I would 624 00:38:34,480 --> 00:38:41,640 Speaker 1: say is we've also written a book UM the the 625 00:38:41,680 --> 00:38:46,319 Speaker 1: four of us a medical scientists, clinicians UM, and I 626 00:38:46,360 --> 00:38:50,040 Speaker 1: think We also have a clinical pharmacist who's involved. The 627 00:38:50,080 --> 00:38:55,200 Speaker 1: book how written chapters on our experience as to why 628 00:38:55,280 --> 00:39:02,200 Speaker 1: we came to needing wanting an un centered medical care 629 00:39:02,320 --> 00:39:06,319 Speaker 1: system that allows patients to get care that will help 630 00:39:06,360 --> 00:39:11,759 Speaker 1: them and not because some government suppressive clerks says, no, 631 00:39:12,320 --> 00:39:15,359 Speaker 1: this medication we don't want you to use. It's you know, 632 00:39:15,640 --> 00:39:17,680 Speaker 1: it works for lucas, but it's not not it's not 633 00:39:17,760 --> 00:39:23,120 Speaker 1: safe for COVID, this sort of nonsense. And so you know, 634 00:39:23,160 --> 00:39:29,680 Speaker 1: we're UM really excited that that our system is going on. 635 00:39:30,040 --> 00:39:34,160 Speaker 1: The book is called UM the Next Wave is Brave, 636 00:39:34,960 --> 00:39:41,880 Speaker 1: and it's available on Amazon and for it's a download. 637 00:39:42,640 --> 00:39:46,520 Speaker 1: So explains a lot about our personal philosophies as each 638 00:39:46,520 --> 00:39:49,600 Speaker 1: of us clinicians and scientists and so on, how we 639 00:39:49,680 --> 00:39:53,040 Speaker 1: came to supporting the company. Where can people go to 640 00:39:53,080 --> 00:39:57,960 Speaker 1: find the wellness company? Wellness company is t WC dot health, 641 00:39:58,920 --> 00:40:04,040 Speaker 1: the wellness Company p WC dot health, and uh if 642 00:40:04,040 --> 00:40:07,160 Speaker 1: you google the wellness company all three words that it 643 00:40:07,239 --> 00:40:10,080 Speaker 1: comes up there. Also there's other wellness companies. Is not 644 00:40:10,160 --> 00:40:14,560 Speaker 1: a a copyrighted name, but it's easy to find us. 645 00:40:14,719 --> 00:40:17,520 Speaker 1: The p WC dot health will find us. Dr Harvey wish. 646 00:40:18,080 --> 00:40:21,080 Speaker 1: Thank you so much for your honesty and for what 647 00:40:21,200 --> 00:40:23,960 Speaker 1: you've done and what you're doing. I truly appreciate your 648 00:40:24,000 --> 00:40:26,040 Speaker 1: time and I appreciate what you're doing, so I just 649 00:40:26,080 --> 00:40:28,719 Speaker 1: want to thank you, Thank you, my pleasure to be 650 00:40:28,760 --> 00:40:38,080 Speaker 1: with you. That was Dr Harvey Rish. I really appreciate 651 00:40:38,160 --> 00:40:40,560 Speaker 1: his honesty. He was really one of the few during 652 00:40:40,600 --> 00:40:44,400 Speaker 1: all of this who was being brave and outspoken, so 653 00:40:44,440 --> 00:40:47,839 Speaker 1: I appreciate him, appreciate his time as well. And also 654 00:40:47,840 --> 00:40:50,959 Speaker 1: I just wanted to UM, thank you to thank Through 655 00:40:51,040 --> 00:40:55,120 Speaker 1: Steel for stepping in. UM. As I mentioned during the intro, 656 00:40:55,680 --> 00:40:59,160 Speaker 1: uh my producer John Cassio, you know from the shows, 657 00:40:59,320 --> 00:41:01,279 Speaker 1: his family. They are in the past this form. So 658 00:41:01,760 --> 00:41:03,359 Speaker 1: we've had some interruption as we was trying to get 659 00:41:03,360 --> 00:41:06,120 Speaker 1: this out obviously as safety is the main priority. So 660 00:41:06,239 --> 00:41:08,560 Speaker 1: thanks to throw Still for stepping in. I appreciate you 661 00:41:08,600 --> 00:41:11,279 Speaker 1: guys for listening every Monday Thursday, but you can listen 662 00:41:11,280 --> 00:41:14,279 Speaker 1: throughout the week. Please leave us review on Apple Podcasts. 663 00:41:14,360 --> 00:41:16,840 Speaker 1: Give us five stars. Well. I love hearing what you 664 00:41:16,840 --> 00:41:19,040 Speaker 1: have to say, so thanks again. Take care,