1 00:00:00,000 --> 00:00:29,980 Thank you. 2 00:00:30,000 --> 00:00:50,880 Hello, everyone, and welcome to Fallout with Dr. Robert Malone and myself, Jan Jekielek, 3 00:00:51,040 --> 00:00:56,920 Senior Editor at the Epoch Times. Today, we're going to look at a couple of hard-hitting articles 4 00:00:56,920 --> 00:01:04,180 from the Epoch Times. Number one, the CDC had evidence before it admitted it that the COVID-19 5 00:01:04,180 --> 00:01:11,040 genetic vaccines could cause death. Number two, we're going to look at an unexpected side effect 6 00:01:11,040 --> 00:01:18,840 of these COVID-19 genetic vaccines, psychosis, a possibility. And finally, there's been these new 7 00:01:18,840 --> 00:01:23,660 boosters that have been put on the market, and there's a paper out there that actually looks at 8 00:01:23,660 --> 00:01:28,280 their effectiveness. Robert, it's great to be with you again, and I just want to remind everybody 9 00:01:28,280 --> 00:01:35,740 that this is a very special live Q&A episode, so make sure to put your Q&A questions in the comments, 10 00:01:35,840 --> 00:01:38,740 and we're going to answer a bunch of them. Hi, Robert. 11 00:01:39,500 --> 00:01:46,420 So Jan Weed seem to be in a funny phase right now, a transition, where information is starting to 12 00:01:46,420 --> 00:01:53,620 trickle out both from the federal government and from the peer-reviewed literature, information that 13 00:01:53,620 --> 00:02:00,600 is frankly validating for what a lot of us, including you and I, have discussed in many prior 14 00:02:00,600 --> 00:02:10,500 American Thought Leaders episodes and prior Fallout episodes. And we have a recent interview from 15 00:02:10,500 --> 00:02:19,400 Ashish Jha that I found fascinating. Ashish Jha being the, I think he's a dean of Brown University 16 00:02:19,400 --> 00:02:28,720 Medical School, but he's the global coordinator for the White House for COVID. And he had some very 17 00:02:28,720 --> 00:02:35,140 frank comments to make the other day. I want to talk to you a little bit about, and perhaps you can 18 00:02:35,140 --> 00:02:41,160 speak to it, how people are able to get help. Because it says here, as of April, just over 13,000 19 00:02:41,160 --> 00:02:48,120 vaccine injury compensation claims have been filed, but to no avail. Only 19% have been reviewed. 20 00:02:48,340 --> 00:02:54,160 What can we do to do better with some of these folks? Yeah. So in my mind, there are two parts 21 00:02:54,160 --> 00:02:57,240 of this. First of all, is we've got to speed up reviews of these things. People who have been 22 00:02:57,240 --> 00:03:03,160 entered should not have to wait months or years to get an answer. Second is, you know, we have some 23 00:03:03,160 --> 00:03:08,080 traditional things we look at. We probably have to expand the definition or think about, are there 24 00:03:08,080 --> 00:03:13,720 new conditions that are vaccine injuries that we haven't identified before? This requires research. 25 00:03:13,720 --> 00:03:18,020 It requires, you know, what's really a vaccine injury, what's not. We've got to be focused on 26 00:03:18,020 --> 00:03:24,160 that as well. I think we just can do a lot better for these folks. It'll also help build confidence in 27 00:03:24,160 --> 00:03:28,980 the vaccine system, reminding people that while it's safe for most people, if you are injured, 28 00:03:28,980 --> 00:03:34,140 you'll get taken care of. I think that's sort of my next question is, is, you know, why is it 29 00:03:34,140 --> 00:03:39,220 taking so long? Why isn't the government doing better? Why aren't we bringing attention to some 30 00:03:39,220 --> 00:03:44,440 of these people who are suffering and saying, you know, we can do better by you. And here is how we 31 00:03:44,440 --> 00:03:50,820 can, here is how we can assist you. Yeah. I worry a little bit that what has happened is we've gotten 32 00:03:50,820 --> 00:03:56,200 caught in the sort of politics of this, because as you know, there are a lot of people who've become 33 00:03:56,200 --> 00:04:02,100 very anti-vaccine. And so that means that a lot of doctors see these patients and worry that if 34 00:04:02,100 --> 00:04:06,320 they acknowledge that person's suffering, that somehow they're becoming anti-vaccine themselves. 35 00:04:06,760 --> 00:04:12,000 I take care of people. I remind people it doesn't matter. I'm very pro-vaccines. I got them. Everyone in 36 00:04:12,000 --> 00:04:17,000 my family got them. Still, I think we have to acknowledge this. That is not just happening among 37 00:04:17,000 --> 00:04:19,680 doctors. It's happening inside the government. We just have to do better. 38 00:04:19,680 --> 00:04:27,560 I find that absolutely fascinating. And just before we continue, I want to remind our viewers 39 00:04:27,560 --> 00:04:32,240 that if you do have questions for Dr. Robert Malone or myself, please make sure to put them 40 00:04:32,240 --> 00:04:36,760 down in the comments. And we're going to be answering a bunch of them. So Robert, what do 41 00:04:36,760 --> 00:04:38,880 you make of it? Tell me more about what you think of this interview. 42 00:04:39,580 --> 00:04:47,560 The tone is fascinating. I haven't heard anything this transparent, let's say, coming out of this 43 00:04:47,560 --> 00:04:56,440 White House. Remember, this goes back to the president making statements about the outcomes 44 00:04:56,440 --> 00:05:05,940 of those that would not take the vaccine. It was really rather harsh. And now Ashish Jha is being 45 00:05:05,940 --> 00:05:16,460 more open and is making a series of statements that appear to acknowledge that there has been some bias 46 00:05:16,460 --> 00:05:24,780 in underreporting on adverse events, consequent to physician fear of being labeled as anti-vaxxers. 47 00:05:26,060 --> 00:05:35,400 I mean, that makes sense. That's the short. I mean, we're, of course, very aware of this is 48 00:05:35,400 --> 00:05:43,660 something that we've covered quite a bit, I think, over the years. Overall, right? There's this paper by 49 00:05:43,660 --> 00:05:51,260 Zach Stieber or this article by Zach Stieber that we just published. And so, I mean, is it surprising 50 00:05:51,260 --> 00:05:59,900 that now we have this evidence from FOIAs that the CDC knew more than it admitted to? Or, you know, 51 00:05:59,900 --> 00:06:07,780 what do you think? It's not surprising to me. I've known that the FDA and the CDC knew about 52 00:06:07,780 --> 00:06:16,420 myocarditis and the shingles incidents and many other adverse events for quite a long time. 53 00:06:17,060 --> 00:06:25,140 And in a prior series, Zach and another colleague did a great job documenting the history and timeline 54 00:06:25,780 --> 00:06:32,180 of the CDC withholding informed consent, because that's what it really comes down to. 55 00:06:32,180 --> 00:06:42,100 Withholding information about the myocarditis and the long timeline associated with that of them having 56 00:06:42,100 --> 00:06:50,820 that documentation and refusing to acknowledge that risk in public and often kind of gaslighting or 57 00:06:50,820 --> 00:06:58,260 downplaying the risk of myocarditis. And now in a complimentary article that he's published the 58 00:06:58,260 --> 00:07:10,740 following day, also withholding information about death. And that happened in the case of two adolescents 59 00:07:10,740 --> 00:07:22,820 or young men. And there was very active suppression of the manuscript or attempts to suppress the publication 60 00:07:22,820 --> 00:07:29,940 of a manuscript written by those that had been involved in making the determination of the cause of death, 61 00:07:29,940 --> 00:07:39,540 the autopsies, that involved some CDC testing. But it, based on Zach's reporting, it appears that the CDC 62 00:07:39,540 --> 00:07:46,980 has more than just withheld information about the association between death and these genetic vaccines, 63 00:07:47,540 --> 00:07:56,020 but it has actively suppressed publications and information coming from non-CDC physicians 64 00:07:56,660 --> 00:08:02,980 that have been reporting autopsy results or other findings having to do with cause of death. 65 00:08:03,700 --> 00:08:11,300 And that loops back to the other thing, you know, there's a number of kind of amazing truth bombs in 66 00:08:11,300 --> 00:08:21,780 Zach's article. One is that the CDC is refusing to accept a independent physician determination of the cause 67 00:08:21,780 --> 00:08:30,180 of death, in many cases through autopsy, in which there was specific statements made by the diagnosing 68 00:08:30,180 --> 00:08:35,300 physician that fills out the death certificate, who legally has the responsibility for making the 69 00:08:35,300 --> 00:08:41,060 determination on the determination on cause of death. And these physicians and pathologists had listed 70 00:08:41,060 --> 00:08:49,460 vaccine-associated, in many cases, vaccine-associated myocarditis as the cause of death. And then the CDC 71 00:08:49,460 --> 00:08:58,660 refused to accept that diagnosis of cause of death in their official tabulations. So it appears that 72 00:08:58,660 --> 00:09:09,060 that we now through Epoch Times work in Freedom of Information Act requests, have literally the 73 00:09:09,060 --> 00:09:16,900 documentation to not to, you know, engage in hyperbole, but literally the smoking gun concerning the 74 00:09:18,660 --> 00:09:26,100 willingness and methods and ability of the CDC to withhold information about 75 00:09:26,100 --> 00:09:33,780 death-related adverse events. And this isn't just with the RNA vaccines. It also includes 76 00:09:34,980 --> 00:09:40,660 the side effects associated with the J&J vaccine product, the adenovirus vector product, 77 00:09:41,700 --> 00:09:51,940 which included this sting in somewhat perplexing clinical finding of idiopathic thrombocytopenic 78 00:09:51,940 --> 00:10:03,460 thrombosis or ITP, which is this kind of blotchy red bruising-like that appears on some nation's skin. 79 00:10:04,020 --> 00:10:10,020 I have a person that's worked on the farm, a mason that had that, for instance. It's not that rare, 80 00:10:10,980 --> 00:10:19,540 but they assert that it is extremely rare. And this is observed with and reported by the CDC 81 00:10:19,540 --> 00:10:27,380 as or found by the CDC according to the documentation that Zacks obtained. This is associated with the J&J 82 00:10:27,380 --> 00:10:37,060 product. It happens to be exactly the same syndrome that has triggered a large legal case 83 00:10:37,860 --> 00:10:47,620 in the United Kingdom right now against AstraZeneca. And strangely, AstraZeneca is denying that there's any 84 00:10:47,620 --> 00:10:55,220 relationship between this large legal case that it looks like they're going to lose and withdrawing 85 00:10:55,220 --> 00:11:00,980 their product from the vaccine. The J&J product had already been withdrawn from the market, but now 86 00:11:00,980 --> 00:11:09,140 AstraZeneca is going to be withdrawn in Europe and in the UK. Also for this same syndrome and death, 87 00:11:09,140 --> 00:11:18,180 again, to reinforce deaths associated with the vaccine, which the CDC withheld information from the public on. 88 00:11:21,300 --> 00:11:26,980 I'm going to jump to actually a live Q&A before we continue because I want to kind of bring in our 89 00:11:26,980 --> 00:11:36,660 bring in our viewers. So related, but more extensive, I suppose. Chester Brown asks, 90 00:11:38,900 --> 00:11:44,500 all of this sounds like a very coordinated effort by the CDC, this administration, the media and big 91 00:11:44,500 --> 00:11:47,700 pharma. Is this grounds for a RICO investigation? 92 00:11:47,700 --> 00:11:57,940 So RICO refers to the Racketeering and Corrupt Activities Act, which was originally set up for 93 00:11:57,940 --> 00:12:05,380 basically going after mafia and other coordinated activities that are breaking the law in a kind of a 94 00:12:05,380 --> 00:12:12,260 group activity. So if you were going to think about taking a RICO approach, and I'm not a lawyer, 95 00:12:12,260 --> 00:12:21,780 that would imply that there was some specific coordination between these various parties. 96 00:12:22,500 --> 00:12:29,460 And I think we have to be careful about jumping to conclusions about coordinating activities between 97 00:12:29,460 --> 00:12:35,620 pharma and the government or potential conspiracies. That's always a possibility. I think we need to 98 00:12:35,620 --> 00:12:41,700 acknowledge that. But there are other reasons why government employees might want to 99 00:12:41,700 --> 00:12:49,780 withhold this kind of information in a coordinated way. Remember that at the CDC, they have, like many 100 00:12:49,780 --> 00:12:57,620 federal agencies, a dual purpose. In the case of vaccines, they're supposed to monitor vaccine safety, 101 00:12:57,620 --> 00:13:04,020 and they also have a specific mission to promote vaccine. Of course, not surprisingly, the budget to 102 00:13:04,020 --> 00:13:11,140 promote vaccines is much larger than the budget to monitor vaccines. And so there's this tension within 103 00:13:11,140 --> 00:13:17,220 the CDC and many other branches of government between those that are tasked with being the truth 104 00:13:17,220 --> 00:13:26,180 tellers about potential risks, and those that are tasked with promoting whatever the industry is or the 105 00:13:26,180 --> 00:13:36,340 field. And so sometimes the kind of the bureaucracy and the structure of these agencies can lead to what 106 00:13:36,340 --> 00:13:43,860 what appears to be a coordinated effort that benefits their industry, but they are likely to take the 107 00:13:43,860 --> 00:13:50,500 position that they're just acting in accordance with their congressional mandate. So I think we have to be 108 00:13:50,500 --> 00:13:57,380 careful about assuming that there's racketeering or corrupt activities involving coordination between 109 00:13:57,380 --> 00:14:04,500 government officials, and for instance, the pharmaceutical industry. That's not to say that it isn't happening one way or another. 110 00:14:04,500 --> 00:14:11,460 But I think we have to be cautious about jumping to conclusions. And prosecuting a RICO case 111 00:14:12,340 --> 00:14:18,260 in something like this, from what I hear from the attorneys, would be extremely difficult. 112 00:14:18,260 --> 00:14:24,260 Right. And I mean, I think what I hear you saying, if I've got this right, is that if the 113 00:14:25,140 --> 00:14:30,420 incentive structure is set up in a lot of different groups or agencies all kind of stack in the same 114 00:14:30,420 --> 00:14:37,140 direction, it might create the illusion of coordination where there isn't any, assuming the incentive structures 115 00:14:37,140 --> 00:14:39,380 weren't coordinated in the first place, I guess. 116 00:14:39,380 --> 00:14:51,940 Yeah, I agree. It's really complex. And it's just a minefield of conflicts and complexity. And 117 00:14:51,940 --> 00:15:00,340 in no way do I want to downplay the possibility that there was coordination. I'm just cautioning 118 00:15:00,340 --> 00:15:08,500 not to jump to that conclusion. And acknowledging what I learned from the attorneys, which is a case 119 00:15:08,500 --> 00:15:19,540 like that would be very difficult to bring against a US government agency in this time. And with these 120 00:15:19,540 --> 00:15:28,740 kinds of mandates, I just very much doubt that we would see this Justice Department or anyone else 121 00:15:30,100 --> 00:15:33,620 interested in pursuing a RICO type action. 122 00:15:34,740 --> 00:15:41,460 You know, there was another paper that Zach Stieber followed up with. The headline was, you know, 123 00:15:41,460 --> 00:15:47,380 inside the study that shook the CDC. This was a study that detailed the sudden deaths of two 124 00:15:47,940 --> 00:15:54,980 teenagers. And you drew a kind of continuity here between this one. 125 00:15:54,980 --> 00:16:00,660 Yeah, because they're both speaking to, let's say gently, the underlying culture 126 00:16:01,780 --> 00:16:11,300 of the CDC and how they've approached COVID-19. And Zach in his articles points out that there's 127 00:16:11,300 --> 00:16:23,140 kind of two opposite approaches being taken. In the case of potential vaccine harms, there seems to be 128 00:16:23,140 --> 00:16:36,020 the assumption that there's the appearance of a very strong bias within the CDC to denying any adverse event 129 00:16:36,020 --> 00:16:43,540 event or death associated with the vaccines. And paradoxically, on the other side, a really strong 130 00:16:43,540 --> 00:16:53,460 bias towards assigning death to anything that has a PCR positive signal for COVID disease, 131 00:16:53,460 --> 00:16:58,580 for infection by the virus. So in the case of the virus, a strong bias towards 132 00:16:58,580 --> 00:17:11,300 reporting death or disease associated with the PCR signal. And on the other side, a very strong bias to 133 00:17:11,300 --> 00:17:23,060 under reporting death and disease in anyone that has no PCR signal, but has received the vaccine product 134 00:17:23,060 --> 00:17:30,500 within 45 days. That's the other thing is they keep that window for 45 days. Whereas, as Zach points out, 135 00:17:30,500 --> 00:17:39,300 in the case of the infection, if there is any prior history of PCR evidence, and I'm saying this because 136 00:17:39,300 --> 00:17:51,220 most of our audience will recognize those PCR tests are questionable in terms of their positive predictive value 137 00:17:53,060 --> 00:18:06,340 and specificity. But, you know, there seems to be a willingness to attribute death events to infection 138 00:18:06,340 --> 00:18:14,580 even even beyond 45 days after infection. So that's really what this is coming down to is 139 00:18:15,380 --> 00:18:23,380 how, in retrospect, how do we look at the data that have come from the CDC? How do we interpret those data 140 00:18:23,380 --> 00:18:32,340 both in terms of the vaccine and the infection? Because the appearance is that there is some real reporting 141 00:18:32,340 --> 00:18:40,500 biases going on that have completely distorted public policy. I mean, you're suggesting that the deaths 142 00:18:40,500 --> 00:18:46,420 due to the virus itself are kind of over-reported, according to this, and in the opposite direction 143 00:18:46,420 --> 00:18:52,420 when it comes to that. Which is something I said, you know, years ago now on Rogan, made the point that 144 00:18:52,420 --> 00:19:01,460 anybody who could be detected as having a positive PCR signal that was being hospitalized would be 145 00:19:02,180 --> 00:19:11,060 determined to be hospitalized consequent to the infection. And so that resulted in a huge reporting 146 00:19:11,060 --> 00:19:19,380 bias, positive reporting bias for death and disease associated with SARS-CoV-2, which doesn't fit with 147 00:19:19,380 --> 00:19:27,700 the all-cause mortality data. That's the big paradox here is we had all of this discussion about a huge 148 00:19:27,700 --> 00:19:33,620 wave of, I'm going to say the big words, morbidity and mortality or sickness and death associated with 149 00:19:33,620 --> 00:19:41,860 SARS-CoV-2. And yet in retrospect, when we look at all-cause mortality, all causes of death in the United 150 00:19:41,860 --> 00:19:48,980 States and in Europe and in the Western world, we would expect to see a big surge of increased mortality 151 00:19:48,980 --> 00:19:57,060 across the board with the onset of the infection, but we don't see that. We see a flat line compared to 152 00:19:57,060 --> 00:20:05,300 prior years about running about the same because people die until the rollout of some of the 153 00:20:06,420 --> 00:20:11,220 pharmaceutical and non-pharmaceutical interventions. I'm using very careful language there, 154 00:20:12,180 --> 00:20:21,940 but some might infer that that sudden surge in all-cause mortality that was noted by the insurance 155 00:20:21,940 --> 00:20:29,220 actuaries seems to correlate with the onset of the vaccine campaigns and the vaccine mandates in 156 00:20:29,220 --> 00:20:37,220 particular. So that's highly suggestive that it wasn't the virus, it was something else. 157 00:20:37,220 --> 00:20:42,500 And that something else could include the vaccines. 158 00:20:42,500 --> 00:20:47,460 So, you know, a question was queued up for me here, which is sort of the perfect follow-up here, 159 00:20:47,460 --> 00:20:56,020 and given how much we're talking about the virus. And so Leonora Perron says, asks, 160 00:20:56,820 --> 00:21:02,740 some say that there is no such thing as a virus, that it is merely a computer calculation. And there's 161 00:21:02,740 --> 00:21:06,180 no photograph of one, only drawings and cartoons. True or false? 162 00:21:06,180 --> 00:21:17,700 False. And I acknowledge that there is a community that has this belief system. This kind of relates to 163 00:21:17,700 --> 00:21:25,620 the overall problem of what is truth and what is reality. In fact, there are multiple images of 164 00:21:25,620 --> 00:21:34,340 coronaviruses, SARS-CoV-2, SARS-CoV-1. The viruses are isolated. I mean, we just had a lengthy discussion 165 00:21:34,900 --> 00:21:43,540 in the house concerning the origin of the virus itself and whether or not it was engineered 166 00:21:44,100 --> 00:21:55,620 at the Wuhan Institute of Virology. And I find it amazing and perplexing that we've had this theme emerge, 167 00:21:56,260 --> 00:22:05,700 that there are no such things as viruses and no such thing as SARS-CoV-2, when in fact there's an abundance 168 00:22:05,700 --> 00:22:15,380 of evidence that both things are false. But some people have belief systems that are very resistant to 169 00:22:16,100 --> 00:22:29,060 data. And this is one of the problems, I think, with reliance on social media for information. 170 00:22:29,060 --> 00:22:39,220 Well, I mean, the challenge is when there's a lot of, let's say, falsehood among the established 171 00:22:39,220 --> 00:22:45,380 sources of information that are supposed to be conveying truth, you go to where you think you can 172 00:22:45,380 --> 00:22:52,420 find it. And of course, and then you have a mix, right? Yeah. And so I was asked on a podcast the other 173 00:22:52,420 --> 00:23:03,940 day, how do you tell who's telling you the truth and who isn't? And in this environment in which we've 174 00:23:03,940 --> 00:23:14,580 come to lose faith in experts, that faith that we had developed as a community, as a culture over 175 00:23:14,580 --> 00:23:22,260 decades and hundreds of years now has been compromised. And that leaves us in kind of a post-truth 176 00:23:22,260 --> 00:23:29,220 environment where all truths are considered to be equivalent. And there's a rejection of 177 00:23:31,460 --> 00:23:40,660 credentialism or credentialed expertise. And I can understand why that would be the case, given what 178 00:23:40,660 --> 00:23:50,100 we've seen. You know, there's actually kind of two, there's a related question, right? The first 179 00:23:50,100 --> 00:23:55,140 question is, do viruses exist at all? I think that's what this question was, right? The second 180 00:23:55,140 --> 00:23:59,460 question, which is related, which I'm kind of mad-looking, which I've heard about too, is, you know, 181 00:23:59,460 --> 00:24:10,020 people will argue that the, at least in the West, the harm, right, the death was primarily iatrogenic, 182 00:24:10,020 --> 00:24:13,300 a big word, you know, basically caused by... Physician-caused. 183 00:24:13,300 --> 00:24:17,540 Right. Yeah. Physician-caused or hospital-caused is iatrogenic. 184 00:24:17,540 --> 00:24:22,260 Right. So in that sense, you know, they'll say, well, it wasn't really the virus, 185 00:24:23,220 --> 00:24:28,500 it was something else, right? Kind of like what you said earlier. So how does that square up? 186 00:24:29,060 --> 00:24:39,060 So both things can be true. The issue there, and that's one of my challenges in communicating in 187 00:24:39,060 --> 00:24:45,460 this space with people that are very passionate about this topic, is that when you look at the 188 00:24:45,460 --> 00:24:50,260 macro level, you know, up at the 40,000-foot view, you're looking at all-cause mortality, 189 00:24:50,260 --> 00:25:00,260 uh, it's really hard to make the case that, uh, we have data from all, from looking at all causes 190 00:25:00,260 --> 00:25:07,540 of death, which is the only metric that seems to not have been contaminated by interest of various 191 00:25:07,540 --> 00:25:16,180 parties and, you know, um, and conflicting agendas. Uh, you don't see a surge in all-cause mortality. 192 00:25:16,180 --> 00:25:19,860 Now that doesn't mean that people didn't get sick from this virus. 193 00:25:20,900 --> 00:25:27,860 And the people that are in the, uh, none of this was the virus and, and the virus was false, 194 00:25:28,340 --> 00:25:34,820 and that's a false narrative camp, seem to disregard morbidity or sickness 195 00:25:36,100 --> 00:25:44,740 and, uh, only focus on mortality or death. One of the derivatives of that is that they assert that 196 00:25:44,740 --> 00:25:51,460 these physicians that have been providing early treatment are all, um, charlatans, 197 00:25:52,100 --> 00:26:01,700 are misrepresenting that in fact, uh, there was no mortality and these physicians that provided early 198 00:26:01,700 --> 00:26:06,980 treatment are claiming that they saved lives when in fact there's no evidence. The counter argument to 199 00:26:06,980 --> 00:26:14,420 that is, well, there was actually a strong cohort of physicians that was out there that basically blunted, 200 00:26:14,420 --> 00:26:26,180 or mitigated the death wave by providing, uh, early treatment. Uh, and I, I find this whole argument, uh, really perplexing. 201 00:26:26,740 --> 00:26:36,500 It's caused a lot of pain and anger. Uh, um, but I can't deny that when you just look at death 202 00:26:37,300 --> 00:26:45,620 from a high level and disregard sickness, um, uh, which is not the normal case when you're evaluating 203 00:26:45,620 --> 00:26:52,020 this type of epidemiology data, but the people that are making these cases are often mathematicians or 204 00:26:52,020 --> 00:26:59,220 data analysts, specialists, not, not, uh, medical or epidemiologic, uh, uh, professionals. 205 00:26:59,220 --> 00:27:08,180 Uh, they're saying, well, we're not seeing the death. It's not there. Uh, therefore, uh, the death only, 206 00:27:08,180 --> 00:27:14,500 we can see the death starting after some of these non-pharmaceutical and pharmaceutical interventions 207 00:27:14,500 --> 00:27:21,860 start, particularly the vaccine. And therefore it's all iatrogenic or physician and hospital caused. 208 00:27:21,860 --> 00:27:27,940 It's not viral caused. Well, and I'll just make one comment here. You know, the, the people who we 209 00:27:27,940 --> 00:27:32,500 know who are clinicians, people who are running big ERs, you know, and there's, there's, there's 210 00:27:32,500 --> 00:27:38,180 multiple people like this who decided to let's call it buck the system and not follow the standard 211 00:27:38,180 --> 00:27:42,980 protocol. They were, you know, they were a subset, but they had a significant impact, but all of them 212 00:27:42,980 --> 00:27:49,380 will tell you, right. That no, there's some, there was a virus that came in. I mean, there was something 213 00:27:49,380 --> 00:27:53,540 new that came in that we had to treat and it looked really bad. Yeah. Right. Yeah. It's like, 214 00:27:53,540 --> 00:27:58,580 so it's very, this is such an interesting point that there's, you know, people that are looking 215 00:27:58,580 --> 00:28:03,460 at things purely from the perspective of data and they could be, you know, like top epidemiologists 216 00:28:03,460 --> 00:28:08,740 or something like that. And there's people that are dealing with people coming in very sick with low, 217 00:28:08,740 --> 00:28:13,620 uh, you know, oxygen saturation and everything. And they're trying to figure out how to deal with it. 218 00:28:13,620 --> 00:28:17,620 Yep. Right. And it's just a completely different experience of the same phenomenon. 219 00:28:17,620 --> 00:28:24,660 Yes. Right. So that's, that's what underpins this and it's tearing apart, uh, communities, 220 00:28:24,660 --> 00:28:35,060 frankly, of, of scientists and physicians and others that, uh, um, are all, uh, concerned and focused 221 00:28:35,060 --> 00:28:44,660 on, uh, the COVID crisis and how it was managed, uh, because they're all kind of shooting at each other 222 00:28:44,660 --> 00:28:53,620 over the nuances of how you interpret these, this tension between the macro level data and the kind 223 00:28:53,620 --> 00:29:02,260 of street level data of what medical professionals encountered as they were practicing. Uh, and, um, 224 00:29:02,260 --> 00:29:10,500 I, I think it's, uh, frankly, it's a tragedy, uh, that, that, you know, when we have so many other 225 00:29:10,500 --> 00:29:17,380 things, uh, to worry about so many other sources of conflict that were busy at each other's throats 226 00:29:17,380 --> 00:29:24,580 over, over whether or not there actually was a virus or, uh, the, the, whether or not those that 227 00:29:25,300 --> 00:29:31,700 provided early treatment, uh, were, um, deluding themselves and their patients in some way, 228 00:29:31,700 --> 00:29:38,340 which is what's being asserted, uh, extremely destructive. Let me jump to another question 229 00:29:38,340 --> 00:29:44,100 from the live Q and a folks, um, tax paying American. Hmm. I think this one's for me. 230 00:29:45,060 --> 00:29:50,980 Would Epoch times create a publicly accessible online archive with all documentation that they 231 00:29:50,980 --> 00:29:58,580 have assembled over the years? Hmm. So, I mean, I, I think I, I'm, I'm not a hundred percent sure what 232 00:29:58,580 --> 00:30:07,220 the question is asking. I'm gonna, I'll ask answer as best I can. Um, uh, we're gonna keep all of our 233 00:30:07,220 --> 00:30:15,620 work publicly accessible. Um, and in many cases that work has links, uh, to the original documentation, 234 00:30:15,620 --> 00:30:20,900 if that's what you're asking about. Um, if you're asking, are we planning to create a book out of it 235 00:30:20,900 --> 00:30:25,940 or some kind of giant set of volumes? Uh, we don't have plans of that nature at the moment, you know, 236 00:30:25,940 --> 00:30:31,060 it's kind of digitally. Some of it is in the newspaper, those that have been collecting those. 237 00:30:31,780 --> 00:30:36,340 Um, but maybe perhaps tax paying American, if you would like to kind of, uh, expand a little 238 00:30:36,340 --> 00:30:40,500 bit on, on what you're asking, we'll, we'll, we'll look in the comments and try to answer. 239 00:30:40,500 --> 00:30:48,420 Can I comment on this? Um, in my experience, I'm able to use the search tool, uh, within Epoch 240 00:30:48,420 --> 00:30:57,780 Times online edition to find, uh, prior articles. But I think to acknowledge the commenter there, 241 00:30:58,340 --> 00:31:08,340 I have seen a pattern with other publications of, uh, revised articles, uh, kind of a retrospective, 242 00:31:08,980 --> 00:31:17,540 uh, historic revisions going on. Uh, and also, uh, key articles and references. We're running into this 243 00:31:17,540 --> 00:31:23,700 with our book on Cywar, uh, where references that we had cited as we're now finishing it up, 244 00:31:23,700 --> 00:31:28,660 we're going back and checking the references and a number of them are gone. You just can't find them. 245 00:31:29,380 --> 00:31:36,420 Uh, I, I was talking to somebody the other day who is very knowledgeable about the internet archive 246 00:31:37,060 --> 00:31:47,300 tools, uh, and, uh, told that yes, in fact, the Wayback Machine is making some articles disappear 247 00:31:47,300 --> 00:31:54,020 upon government pressure. This is somebody that's very linked to, uh, the, uh, Kennedy campaign and 248 00:31:54,020 --> 00:32:00,420 very knowledgeable about Silicon Valley. Uh, and in fact, they are making articles disappear under 249 00:32:00,420 --> 00:32:06,740 government pressure, but that they're not actually deleting them. They're just making them no longer 250 00:32:06,740 --> 00:32:11,780 visible. And if a different administration was to come through with different priorities, 251 00:32:11,780 --> 00:32:17,220 they could flip the switch and make those available. But I think the concerns about, uh, 252 00:32:17,220 --> 00:32:24,100 this kind of retrospective rewriting of history, uh, has a lot of merit. And in a way he's kind of, 253 00:32:24,100 --> 00:32:34,260 he's respecting Epoch times by, uh, suggesting that there would be merit of, uh, for, uh, somehow 254 00:32:34,260 --> 00:32:38,500 creating a collection of, of the historic documents that you've generated. 255 00:32:38,500 --> 00:32:43,140 That's very interesting. Well, anyway, thank you for the question. And it's a great idea. And, 256 00:32:43,140 --> 00:32:48,260 you know, just, but just as another comment, uh, I've been looking at some other media sources, 257 00:32:48,260 --> 00:32:53,140 more mainstream media sources recently, and I found lots of evidence and not necessarily 258 00:32:53,140 --> 00:33:00,980 specifically around COVID and so forth of actual stealth editing, uh, of content to like with leading 259 00:33:00,980 --> 00:33:06,420 to dramatically different kind of information being there without disclosing that such an edit was 260 00:33:06,420 --> 00:33:12,580 made. And this is very, it's very bizarre because, you know, you, it really, you really think of Orwell 261 00:33:12,580 --> 00:33:18,980 here, right. Where you're kind of, you rewrite, rewrite history as if ministry of truth, as if 262 00:33:19,540 --> 00:33:23,780 what was there was something different. So I, I hadn't thought of it from that perspective, 263 00:33:23,780 --> 00:33:30,020 just because I find the idea. So, um, abhorrent, frankly, um, you know, 264 00:33:30,020 --> 00:33:35,700 you know, everyone makes mistakes, you correct them and you acknowledge that, that you made them 265 00:33:35,700 --> 00:33:42,260 as best you can, but to do that is a whole different world mentality. And I think a dark, 266 00:33:42,260 --> 00:33:50,260 dark path. So, um, all right, before I go to the next question, I really want to talk to about, uh, 267 00:33:50,260 --> 00:33:56,900 uh, being, uh, Apathuli's, uh, article on looking at this new side effect that I hadn't been aware 268 00:33:56,900 --> 00:34:04,020 of from these COVID-19 genetic vaccines, which is, um, Psychosis. Psychosis. Exactly. Right. I was 269 00:34:04,020 --> 00:34:09,380 going to say, I was going to say something else, but yes, no, precisely. And that it, and that it's hard 270 00:34:09,380 --> 00:34:16,660 to, it doesn't go away quickly as I understand it. And, and what this, uh, peer reviewed publication 271 00:34:16,660 --> 00:34:23,780 is documenting. Now let's be clear. This is not a prospective randomized trial or any of the larger, 272 00:34:23,780 --> 00:34:29,380 more rigorous. This is a collection of case studies that they reviewed and find certain 273 00:34:29,380 --> 00:34:35,940 common features in those case studies, a fairly large collection, but it's, it's not a prospective 274 00:34:35,940 --> 00:34:44,660 randomized trial. Uh, and, uh, in it, in the paper, they're, they're, uh, identifying that there's two 275 00:34:44,660 --> 00:34:51,700 kinds of this psychosis, hallucinations and delusions, auditory hallucinations are particularly common. 276 00:34:52,820 --> 00:35:01,780 And, uh, to me, what's particularly worrying about this is that we're having psychosis, 277 00:35:02,500 --> 00:35:09,780 including hallucinations and delusions in people who are mandated to take these products. 278 00:35:09,780 --> 00:35:17,780 Uh, and this includes first responders, healthcare personnel, remember virtually all hospital personnel 279 00:35:17,780 --> 00:35:27,060 were forced to take the products, uh, in, in, in particular military personnel. So we've had products 280 00:35:27,060 --> 00:35:38,580 administered to crucial, uh, um, infrastructure people that are causing them to have mental conditions, 281 00:35:38,580 --> 00:35:43,060 detectable mental conditions. I just want to jump in for a moment and say, we don't know the frequency 282 00:35:43,060 --> 00:35:48,580 and it's not. Precisely. Right. Good point. Yeah. Okay. Crucial point. Right. There's still, 283 00:35:48,580 --> 00:35:56,660 that there's nothing in this article that speaks to frequency and prevalence. And the fact that it's a 284 00:35:56,660 --> 00:36:03,860 modest collection of these cases suggests that it's relatively rare. So that's, that's absolutely a valid 285 00:36:03,860 --> 00:36:11,060 point. Well, but the point is yet another area that we should obviously begets the need for, 286 00:36:11,060 --> 00:36:14,420 for research and exploration, given how many of these things were given out. 287 00:36:14,420 --> 00:36:20,340 Yeah, absolutely. And as you pointed out at the beginning, so they're treating these people with 288 00:36:20,340 --> 00:36:29,860 steroids and only about half of them are recovering. Uh, the other half still have persistent, uh, effects 289 00:36:29,860 --> 00:36:38,580 post-treatment. So it seems to be relatively intractable, uh, resistant to the little bit of, 290 00:36:38,580 --> 00:36:47,380 of treatment that is known as an option. And of course there's up till now been virtually no, uh, 291 00:36:47,380 --> 00:36:56,580 investigations in terms of, uh, the cause of this, uh, um, how to mitigate it or reduce the probability 292 00:36:56,580 --> 00:37:02,420 and how to treat it. Yeah. And it's, and frankly, it's new for me. Like I had, I just wasn't aware. 293 00:37:03,300 --> 00:37:11,700 And yet, uh, to be fair, psychosis was also a feature of the viral infection. Chris Cuomo lately 294 00:37:11,700 --> 00:37:18,100 is, uh, in quite a bit, he's got his own show, right. And he's acknowledged that he has his own 295 00:37:18,100 --> 00:37:27,220 vaccine damage. Uh, and, and that's, that's been, uh, featured in a lot of press articles. And if you 296 00:37:27,220 --> 00:37:33,940 reel back in time and remember when he became infected with SARS-CoV-2 with COVID, when he was 297 00:37:33,940 --> 00:37:41,380 broadcasting from CNN, uh, he, he stayed home and he acknowledged that he was having psychotic symptoms 298 00:37:41,940 --> 00:37:48,020 from, he was having hallucinations, overt hallucinations, uh, and kept broadcasting through 299 00:37:48,020 --> 00:37:58,820 it. It was an amazing, uh, uh, kind of series. Uh, but, uh, let's remember that these, uh, these kinds 300 00:37:58,820 --> 00:38:06,020 of findings were also seen with the viral infection. Well, and so then it's not necessarily surprising 301 00:38:06,020 --> 00:38:10,980 if assuming it's the spike that's, that's- You just said the key word. You made an assumption, 302 00:38:10,980 --> 00:38:18,900 but let's call it a hypothesis. Right. That, uh, and, and we know that spike, uh, can affect brain 303 00:38:18,900 --> 00:38:26,340 function. We know it's associated with neural inflammation. Uh, it's certainly associated with 304 00:38:26,980 --> 00:38:35,940 microvascular coagulation or small vessel blood clots. Uh, and, uh, so as you point out, not too 305 00:38:35,940 --> 00:38:42,580 stunning that you would see these kinds of symptoms in people that have received a product that would 306 00:38:42,580 --> 00:38:48,580 cause their body to make large amounts of this protein that I assert as a toxin, that being the, 307 00:38:49,140 --> 00:38:51,220 the biologically engineered spike. 308 00:38:51,220 --> 00:38:57,780 All right. Let's jump to another question. I think we've got about 20 minutes left in the show. So 309 00:38:57,780 --> 00:39:04,900 let's focus on, uh, uh, mostly the Q and A's and we may, we may look into this paper, uh, that's 310 00:39:04,900 --> 00:39:10,820 related to Cleveland Clinic papers. Right. Yeah. We'll just, we'll get you to summarize it in a bit, 311 00:39:10,820 --> 00:39:22,260 but okay. So, uh, this is, uh, Bay Klee T. How concerned would Medicare, should Medicare patients 312 00:39:22,260 --> 00:39:29,460 be that future vaccine compliance is tied to insurance coverage? I don't know the answer to 313 00:39:29,460 --> 00:39:39,780 that. I think that, uh, it is, it is certainly something to be alerted to, uh, you know, how concerned 314 00:39:39,780 --> 00:39:46,980 should you be? Uh, we saw withholding of medical care, including transplantation 315 00:39:47,780 --> 00:39:55,060 from people who had not accepted these COVID vaccines as you'll recall. So, so clearly there's 316 00:39:55,060 --> 00:40:05,460 precedent for policy in which, uh, um, medical treatment and care would be withheld if one was not 317 00:40:05,460 --> 00:40:11,780 compliant. I hear story after story these days of pediatricians firing their patients and their 318 00:40:11,780 --> 00:40:20,580 parents because of lack of compliance with the CDC vaccine schedule. And, uh, some have speculated that 319 00:40:20,580 --> 00:40:28,500 this has to do with the financial incentives provided to pediatricians to have certain fraction of their 320 00:40:28,500 --> 00:40:37,300 total pediatric population fully vaccinated according to schedule. Uh, so there's, you know, how concerned 321 00:40:37,300 --> 00:40:47,140 should you be that there would be a, uh, kind of a litmus test as a recipient of federal healthcare 322 00:40:47,940 --> 00:40:55,700 practice, you know, insurance, uh, that you, uh, would only be eligible if you were fully compliant 323 00:40:55,700 --> 00:41:02,980 with the vaccine schedule. I think there's merit to that. And, and I think that that's a potential 324 00:41:02,980 --> 00:41:11,060 policy that, uh, people should be very alerted to, and I hope would, uh, um, communicate to their 325 00:41:11,060 --> 00:41:20,740 representatives that they would find this intolerable. All right. Let's go to PM Kane 0312. 326 00:41:20,740 --> 00:41:28,500 Would ivermectin and hydroxychloroquine be effective with early use in any of the possible viruses that 327 00:41:28,500 --> 00:41:38,340 may be thrown at us? Um, so, uh, I have to be cautious in answering this, but I'm going to be fairly blunt. 328 00:41:39,220 --> 00:41:50,260 Uh, the data indicate that both of those agents have, uh, effectiveness against a wide range of viral 329 00:41:50,260 --> 00:41:58,180 diseases. Those are the data that I've seen. And those are consistent with my own private findings. 330 00:41:58,180 --> 00:42:04,900 When I was collaborating with leading researchers in the U S army in trying to identify repurposed 331 00:42:04,900 --> 00:42:12,740 drugs for various viral diseases. So I'm not in any way advocating that you go out and buy a stockpile of 332 00:42:12,740 --> 00:42:19,460 ivermectin and hydroxychloroquine in the event that you might, uh, get exposed to bird flu that being, 333 00:42:19,460 --> 00:42:27,220 I'm just, uh, citing the current, uh, fear that's being circulated and promoted. Uh, if for no other 334 00:42:27,220 --> 00:42:34,820 reason that stockpiling antivirals or antibiotics can result in you having stuff on the shelf that's 335 00:42:34,820 --> 00:42:44,020 expired, that's a common problem. Uh, and, and self-treating over treating, uh, risking potential 336 00:42:44,020 --> 00:42:57,220 toxicities, et cetera. But, uh, I think that, uh, in the future, I hope that, uh, physicians and, uh, 337 00:42:57,220 --> 00:43:05,220 the federal government infrastructure will be more open to, uh, actively investigating and listening to 338 00:43:05,220 --> 00:43:12,420 frontline physicians about, uh, whether, uh, whether those agents or other repurposed drugs are effective 339 00:43:13,140 --> 00:43:23,460 in mitigating the disease risk associated with, uh, these, these, uh, various, uh, infectious diseases. 340 00:43:23,460 --> 00:43:30,820 Remember that it's not necessary for a drug to kill or treat the pathogen, 341 00:43:30,820 --> 00:43:42,660 because in many cases you can, uh, mitigate the disease by reducing the over, over amped inflammatory 342 00:43:42,660 --> 00:43:50,660 response to those pathogens. What gets you with COVID and, and frontline physicians will tell you this 343 00:43:51,220 --> 00:43:58,660 is often not the first wave when you initially get infected. That's bad. Um, if you have risk factors 344 00:43:58,660 --> 00:44:05,940 like I did. Um, but then you go into kind of a quiet phase for a couple of days and then there's a 345 00:44:05,940 --> 00:44:13,300 inflammatory phase where basically your body is overreacting to viral antigens and other debris and 346 00:44:13,300 --> 00:44:20,260 signals. And so that seems for instance, with the use of steroids, that's what's being knocked down. 347 00:44:20,980 --> 00:44:27,620 Is that reactive phase? My point is that it's, we hear again and again, well, that agent isn't proven 348 00:44:27,620 --> 00:44:37,940 to be an antiviral. Um, so what, uh, if the agent is observed by frontline physicians to be useful in 349 00:44:37,940 --> 00:44:43,780 reducing the disease and improving the outcomes, as far as I'm concerned, that's what matters, 350 00:44:43,780 --> 00:44:49,060 not whether or not it kills the virus. Well, that, that reminds me of, uh, something that was up, 351 00:44:49,060 --> 00:44:55,380 uh, I think when this, uh, Jiki leaks, uh, Twitter account promoted it for a while, this was Jiki is, 352 00:44:55,380 --> 00:45:01,380 is quite perceptive. Well, there's the, it was this idea that the two, two, hashtag two tablets, 353 00:45:01,380 --> 00:45:06,420 right. And I think it was azithromycin. Basically there's this post viral, uh, 354 00:45:06,420 --> 00:45:10,500 syndrome infection, right. It happens. And if you were to treat that, 355 00:45:11,060 --> 00:45:14,180 right. But you were kind of, weren't allowed to do that in the hospital, but if you weren't, 356 00:45:14,180 --> 00:45:17,300 were to have treated that, that would have reduced the death. 357 00:45:17,300 --> 00:45:24,740 Yeah. And I think that, that a lot of these early treatment protocols, um, had, uh, for instance, 358 00:45:24,740 --> 00:45:33,140 uh, peer Corey's initial, uh, presentation to Ron Johnson in the U S Senate and testimony wasn't 359 00:45:33,140 --> 00:45:39,940 about ivermectin. It was about the use of steroids, uh, which at the time was heresy, 360 00:45:39,940 --> 00:45:49,220 uh, and has now become normative in treating the disease. Uh, and, uh, because of course the, the, 361 00:45:49,220 --> 00:45:56,820 it's an inverted logic, uh, if you're shutting down the inflammatory response, you would think 362 00:45:56,820 --> 00:46:04,580 that would lead to worse disease. If the ability of the inflammatory response to kill the virus was 363 00:46:04,580 --> 00:46:12,180 what was important. But as Pierre observed, uh, and many others observed clinically, empirically, 364 00:46:13,060 --> 00:46:20,100 by tamping down that inflammatory response, you really improved the disease outcome because the 365 00:46:20,100 --> 00:46:24,820 disease outcome had more to do with that hyper-inflammatory response, which is what Jickey, 366 00:46:24,820 --> 00:46:28,500 I think was pointing out. Right. I think it was, I think it was azithromycin and zinc. 367 00:46:28,500 --> 00:46:31,860 And that was what I think, if I recall, that was the idea. 368 00:46:31,860 --> 00:46:39,380 Yeah. Yeah. I, I, that's an interesting pairing. Uh, um, uh, the Dieter Raal protocol 369 00:46:40,020 --> 00:46:45,220 was hydroxychloroquine and zinc, cause I, uh, no, it was azithromycin and hydroxychloroquine, 370 00:46:45,220 --> 00:46:54,820 I think was what he was promoting. Um, and, uh, that also had some kind of obscure side, sideways 371 00:46:54,820 --> 00:47:02,660 activity. Uh, um, there was a lot of those kind of dual tablet, uh, protocols that, that surfaced. 372 00:47:03,380 --> 00:47:10,740 And what it underscores is that the truth is that if you got on this thing early, 373 00:47:12,180 --> 00:47:18,500 there's a lot of different drugs that were effective, not just hydroxychloroquine and ivermectin. 374 00:47:18,500 --> 00:47:26,020 A lot of different drug protocols were designed by physicians all over the world, uh, and, um, 375 00:47:26,020 --> 00:47:33,940 that were effective if you got it early. And that's what was so, um, discouraging 376 00:47:34,980 --> 00:47:42,980 about the position taken by many hospitals that, uh, patients would come in and present with symptoms. 377 00:47:43,780 --> 00:47:52,660 And they would be essentially sent home with, uh, equivalent of aspirin, an anti, a mild over 378 00:47:52,660 --> 00:47:58,660 the counter anti-inflammatory and told to come back when they were in severe respiratory distress, 379 00:47:58,660 --> 00:48:04,500 ergo, when your lips are blue, uh, which just is counterintuitive. And I think that, 380 00:48:04,500 --> 00:48:10,900 that in particular is what upsets a lot of the frontline physicians that were giving early treatment. 381 00:48:10,900 --> 00:48:15,380 And I think this was the argument, the argument was that if you weren't, for some reason, 382 00:48:15,380 --> 00:48:19,700 you know, we know that the diagnosis, that the diagnostic methods were highly problematic 383 00:48:19,700 --> 00:48:25,140 using, you know, PCA as a diagnostic tool. And so if you were, you weren't diagnosed with COVID, 384 00:48:25,140 --> 00:48:29,780 you would get treated with something that would actually help getting rid of the bacteria. 385 00:48:29,780 --> 00:48:31,380 That was the paradox, right? 386 00:48:31,380 --> 00:48:32,100 Right. Yeah. 387 00:48:32,100 --> 00:48:35,620 So anyway, that's, that's just kind of litigating back. But I think that's what, 388 00:48:35,620 --> 00:48:40,260 that's what that idea that I was mentioning, I hope I got it right, was, was, was, was, was getting at. 389 00:48:40,900 --> 00:48:45,220 But let, let me jump to another question here. I think this is actually quite interesting. Um, 390 00:48:45,220 --> 00:48:52,900 this is, uh, Carm, Carmel Gu. How do I convince surgeons I work with that the COVID shot is causing 391 00:48:52,900 --> 00:48:58,500 health problems such as Graves disease, thyroid eye disease, menstrual problems, et cetera? 392 00:48:58,500 --> 00:49:06,820 Uh, that's a tough one. Uh, that gets to the Ashish Jha, uh, clip that we played earlier on where, 393 00:49:07,460 --> 00:49:18,980 uh, surgeons or other medical health professionals have, uh, there, there has been developed because of 394 00:49:18,980 --> 00:49:28,420 much of the messaging that has been promoted, uh, that if you have, if you express any concerns about 395 00:49:29,620 --> 00:49:36,100 adverse events associated with these products, then you're labeled as an anti-vaxxer, 396 00:49:37,060 --> 00:49:43,140 which is a pejorative and can be a career ender. Uh, if you're a licensed medical professional, 397 00:49:43,140 --> 00:49:49,620 you're at risk for losing your license if you're so labeled. So how are you going to convince somebody 398 00:49:50,180 --> 00:49:57,460 whose livelihood depends on their medical license and their reputation to acknowledge the possibility 399 00:49:57,460 --> 00:50:03,060 of something that could severely damage their ability to practice their profession? 400 00:50:03,060 --> 00:50:08,020 You know, I, I think that we actually have a tool and you, you just mentioned it. I mean, 401 00:50:08,020 --> 00:50:14,260 there's this video right now you can say, Hey, look, this is the, you know, as the, the mainstream of 402 00:50:14,260 --> 00:50:22,900 mainstream, you know, medical advisors. Yeah. What I, so, so I'm going to share, I'm going to share a 403 00:50:22,900 --> 00:50:30,820 personal anecdote. The other day I went in for an echocardiogram to my local hospital, uh, and the, uh, 404 00:50:30,820 --> 00:50:35,620 very experienced technician that ran that, by the way, I had a good outcome. Brooke Miller tells me 405 00:50:35,620 --> 00:50:43,460 that I'm within normal range. So yay. Uh, um, we were concerned. Uh, but the, this is the second 406 00:50:43,460 --> 00:50:49,860 time I've been into that hospital over the span of a year and a half, uh, for cardiac issues. And in 407 00:50:49,860 --> 00:50:58,100 both cases, the technicians, um, have quietly, once the doors were closed, spoken to me because they 408 00:50:58,100 --> 00:51:04,420 recognize my name, spoken to me about what they're observing in the medical system, how disappointed 409 00:51:04,420 --> 00:51:11,140 they are, um, the, uh, failure of the medical system to act with integrity and acknowledge what's 410 00:51:11,140 --> 00:51:18,820 going on. My point is that patients, and they did so because they felt comfortable. They already knew 411 00:51:18,820 --> 00:51:25,380 what my position was because I'm so public about it. And so they felt comfortable coming out and kind of 412 00:51:25,380 --> 00:51:34,900 acknowledging their own concerns and observations. Uh, and, and I, I get a lot of that. Uh, um, but 413 00:51:35,860 --> 00:51:44,100 the average patient that walks through, uh, why would a physician open up to that person? Uh, there's so 414 00:51:44,100 --> 00:51:53,940 many disincentives right now. And, uh, I think that that's one of the most, um, it is one of the great 415 00:51:53,940 --> 00:52:04,180 tragedies of how the COVID crisis has been handled in the role of media, uh, and, uh, propaganda and 416 00:52:04,180 --> 00:52:10,500 censorship, uh, delisting, uh, demonetizing, all those things that we've talked about here previously 417 00:52:11,060 --> 00:52:17,300 have, uh, really damaged the ability of the medical profession to acknowledge reality, 418 00:52:17,300 --> 00:52:23,620 which is exactly what Ashishah is speaking to in that clip, um, to his credit. 419 00:52:26,180 --> 00:52:31,300 You know, this is a topic for another fallout episode, I suppose, but, you know, there's this, 420 00:52:31,300 --> 00:52:37,380 you know, the aftermath of situations where a lot of stuff got, went wrong and a lot of people are, 421 00:52:37,380 --> 00:52:42,740 you know, could be held accountable and would like to avoid, uh, held accountable, right? These kinds of 422 00:52:42,740 --> 00:52:48,020 situations, I mean, we, we, I, I, this is something I've been looking at for years, especially for 423 00:52:48,020 --> 00:52:52,340 example, emerging out of communist societies, there's another scenario like that. And how do 424 00:52:52,340 --> 00:52:55,940 you deal with that? And there's actually perhaps some lessons to be learned, like say for a future 425 00:52:55,940 --> 00:53:03,620 follow-up episode, but, um, there, there's, there's things that seem to work and, uh, and there's things 426 00:53:03,620 --> 00:53:10,740 that seem to not work and sort of, you know, treating people in the harshest possible way, just 427 00:53:10,740 --> 00:53:16,820 looking back at it now, historically, what happened post 1989 to my eye doesn't actually seem to work. 428 00:53:16,820 --> 00:53:23,700 I'm saying the guilty, the guilty parties, like, so, uh, uh, when I, because so many people are 429 00:53:23,700 --> 00:53:28,660 complicit, this is what I'm saying. Yes. It's not that it's not sure. There might be a few people 430 00:53:28,660 --> 00:53:34,100 that need to be specifically, you know, sort of held accountable, but if there's so many people are 431 00:53:34,100 --> 00:53:39,300 complicit and so many people even not knowingly at the beginning, right. Or, or so on. How do you, 432 00:53:39,300 --> 00:53:43,220 how do you actually deal with that topic for another episode? Let me try to get one more, 433 00:53:43,220 --> 00:53:48,020 one more question in. And we also need to touch on this, uh, this, this paper, 434 00:53:48,020 --> 00:53:54,100 Cleveland Clinic paper. Yeah. The Cleveland Clinic paper. Exactly. Well, um, gosh, I'll have to, um, 435 00:53:58,900 --> 00:54:02,980 well, why don't I'll, I'll just, I'll, I'll, I'll, I'll do this one. I don't know how you can, 436 00:54:03,700 --> 00:54:09,780 how you'll answer it. But Chris Hamper asks, I'm a 77 year old female with MS. I took two 437 00:54:09,780 --> 00:54:13,060 Pfizer shots, then stopped. How could I be affected negatively? 438 00:54:14,500 --> 00:54:20,820 So she's asking an open-ended question. Um, hypothetically, how could she be affected? 439 00:54:20,820 --> 00:54:31,300 And the honest truth is, uh, she could have many kinds of adverse events. She's could be affected 440 00:54:31,300 --> 00:54:39,620 by the full spectrum of what we now know to be adverse events. Uh, she may have some increased 441 00:54:39,620 --> 00:54:45,220 risk for some of those, particularly those involving neuroinflammation, because she already 442 00:54:45,220 --> 00:54:52,580 has multiple sclerosis. So she could see an acceleration of that. For example, it's important 443 00:54:52,580 --> 00:55:00,900 to remember, uh, and I, and I, you know, to her speaking to her particularly, she's taken the product 444 00:55:00,900 --> 00:55:08,420 twice. And, uh, she's not reporting that she's currently experiencing those adverse events. 445 00:55:09,540 --> 00:55:16,980 Presumably she took the product a while ago. Uh, so she's, the probability is high that she's out of 446 00:55:16,980 --> 00:55:26,180 the woods, uh, in terms of her risk profile. And I, I think it's important to, to not scare people, 447 00:55:26,980 --> 00:55:33,940 uh, inappropriately. And to acknowledge that, uh, when we speak about these adverse events, 448 00:55:33,940 --> 00:55:41,700 including death, uh, they're relatively infrequent. We can argue about how frequent they are and 449 00:55:41,700 --> 00:55:49,940 myocarditis seems to be more frequent. Subclinical myocarditis might even be up to 50% based on some 450 00:55:49,940 --> 00:55:56,020 analyses having to do with blood enzymes. But for many of these things, like we're talking about the 451 00:55:56,020 --> 00:56:03,460 psychosis, et cetera, they're relatively rare. Um, so she's not experiencing things right now, 452 00:56:03,460 --> 00:56:12,020 even the turbo cancer, uh, is, is a rare event. Uh, if she's not experiencing things now after a while, 453 00:56:12,020 --> 00:56:18,900 after having taken these two products, she's probably okay. Now that is a perfect segue into 454 00:56:18,900 --> 00:56:30,900 our next paper, uh, which speaks to the issue of, are the boosters working? Uh, and, um, are there any 455 00:56:32,100 --> 00:56:42,980 problems in terms of your risk of developing COVID if you take multiple doses of this, uh, of these 456 00:56:42,980 --> 00:56:49,140 products? I'm hesitating to call them vaccines, uh, because their ability to prevent infection 457 00:56:50,180 --> 00:56:57,060 is, uh, quite modest. Uh, you know, we're the arm wrestling right now is whether or not 458 00:56:57,060 --> 00:57:03,380 they're active in reducing your risk of disease or death. And it's important to remember that 459 00:57:04,340 --> 00:57:11,220 they're not licensed when, when the FDA provided emergency use authorization and the license, 460 00:57:12,100 --> 00:57:21,460 uh, prevention of disease and death was not listed as one of the reasons, one of the indications, 461 00:57:22,340 --> 00:57:28,980 uh, for these products. They were licensed for prevention of infection and they don't do that. 462 00:57:29,780 --> 00:57:33,700 Uh, and, and, you know, I was called a liar by the Washington post for saying so, 463 00:57:34,260 --> 00:57:40,660 but, uh, this next paper, uh, really documents that you want to jump into that. Sure. Yeah, 464 00:57:40,660 --> 00:57:45,620 no, absolutely. Um, so this, what's, do you have the title listed there? I don't have it with me. 465 00:57:46,340 --> 00:57:52,500 Right now. Uh, so this is, it's, what's important to note about this one is it's a preprint, 466 00:57:52,500 --> 00:57:58,820 so it's not yet peer reviewed, but it's coming from one of the elite medical institutions in the United 467 00:57:58,820 --> 00:58:05,700 States, the Cleveland Clinic. So the title is effectiveness of the 2022, 24 formulation of 468 00:58:05,700 --> 00:58:13,060 the coronavirus disease 2019 mRNA vaccine against the JN.1 variant. Very specific title. 469 00:58:13,060 --> 00:58:21,460 Very precise. Um, and I think in it's, uh, that I would call that a defensive title. Um, 470 00:58:21,460 --> 00:58:27,460 they're being very careful about how they're wording that and what they're saying because they know 471 00:58:27,460 --> 00:58:31,700 they're going to get raked over the coals by the reviewers. Remember, this is a preprint. Uh, 472 00:58:32,260 --> 00:58:45,140 so, uh, this is a study of employees of the Cleveland Clinic. It's, it's 47,561 employees of 473 00:58:45,140 --> 00:58:50,420 the Cleveland Clinic have been enrolled in the study. I hope they all gave informed consent. Um, 474 00:58:50,980 --> 00:58:58,100 and, uh, so it is a prospective study. They're looking forward in time. They, they said, we're 475 00:58:58,100 --> 00:59:02,260 going to do this study. We're going to enroll these people. We're going to look at this outcome. And by 476 00:59:02,260 --> 00:59:10,500 the way, the outcome was basically PCR positive signal. So we all understand, uh, at this point 477 00:59:10,500 --> 00:59:18,260 that PCR positive signal has a lot of artifact issues, but that was the endpoint. Did you develop a PCR 478 00:59:18,260 --> 00:59:27,860 positive signal as a surrogate for being infected by SARS-CoV-2 after you received the jab, the booster 479 00:59:27,860 --> 00:59:38,420 jab, the booster jab that was formulated for XBB strain viruses? And there, the X, as I predicted way back 480 00:59:38,420 --> 00:59:43,460 then when they were rolling it out, XBB at the time they rolled it out was already extinct. It had been 481 00:59:43,460 --> 00:59:50,100 replaced by other lineages and, uh, to their credit, when they did this assessment, they, for everybody 482 00:59:50,100 --> 00:59:58,180 that came up with a positive PCR signal, they determined which virus strain they were infected by. 483 00:59:58,180 --> 01:00:08,580 And they were all infected by this JN1 variant, which is not an XBB. Okay. So this is a heterologous, 484 01:00:08,580 --> 01:00:13,620 is the technical term we use in virology. Okay. It's akin to a heterologous challenge. They're getting 485 01:00:13,620 --> 01:00:19,460 infected by one virus strain that's different from what the boosters were designed from. It was 486 01:00:19,460 --> 01:00:32,580 determined to be 23% effective in preventing, uh, by, by one form of analysis, uh, in preventing a PCR 487 01:00:32,580 --> 01:00:43,860 positive signal. In their, this is also fun. 18% of their employees took the booster. This is the 488 01:00:43,860 --> 01:00:51,060 Cleveland Clinic. 18% uptake of the booster among Cleveland Clinic employees. That's, uh, kind of a 489 01:00:51,060 --> 01:01:01,700 stunning, a little buried fact within this study. Um, in, in order to detect that 23% effectiveness, 490 01:01:01,700 --> 01:01:08,180 they had to carefully adjust for confounding variables. If they didn't adjust for confounding, 491 01:01:08,180 --> 01:01:15,860 and sometimes adjusting for confounding variables can introduce bias. Okay. So if they didn't adjust for, 492 01:01:16,420 --> 01:01:24,100 uh, confounding variables, they saw no effect associated with vaccination. Okay. So it's, it's modest, 493 01:01:24,100 --> 01:01:33,540 but the, the, the, the stunning thing, and this is the eighth study to demonstrate this. This is not a, 494 01:01:33,540 --> 01:01:45,060 a, you know, anomalous outlier finding. The risk of COVID-19 was higher after two, three, or three or more 495 01:01:45,060 --> 01:01:53,300 doses than in the unvaccinated. So this gets the negative effectiveness that, that is being observed 496 01:01:53,300 --> 01:01:58,820 in many of these studies where the multiple inoculated actually are the ones that are at 497 01:01:58,820 --> 01:02:08,660 highest risk for developing disease. It's worth with actually, actually reading the conclusion statement 498 01:02:08,660 --> 01:02:15,860 from this because there's a whole lot of fascinating nuance. Although some individuals are at risk 499 01:02:15,860 --> 01:02:24,340 of complications of COVID-19 and may benefit from receiving a vaccine frequently may the wisdom of 500 01:02:24,340 --> 01:02:30,180 vaccinating everyone with a vaccine of low effectiveness. Remember this is from the Cleveland 501 01:02:30,180 --> 01:02:37,620 clinic vaccine of low effectiveness every few months to prevent what is generally a mild or an 502 01:02:37,620 --> 01:02:43,540 asymptomatic infection that I'm talking about in most healthy persons needs to be questioned. 503 01:02:45,540 --> 01:02:52,900 In conclusion, this study found an overall low protective effect of the 2023-2024 formula 504 01:02:52,900 --> 01:03:01,140 COVID-19 vaccine against infection with the JN1 lineage while also finding a higher number of prior 505 01:03:01,140 --> 01:03:07,460 vaccine doses was associated with a higher risk of COVID-19. Now, remember that in 506 01:03:07,780 --> 01:03:17,380 many schools, this is still a mandated product. In the childhood vaccine schedule, the CDC is still 507 01:03:17,380 --> 01:03:23,380 recommending this product, these boosters. The federal government and the CDC are still promoting these, 508 01:03:24,020 --> 01:03:33,460 and yet these are the data. And sorry, Washington Post, it's not working. And I think that we can trust the 509 01:03:33,460 --> 01:03:42,500 Cleveland clinic and a study of 47,561 employees as giving us a pretty good indicator that the product 510 01:03:42,500 --> 01:03:51,460 is not meeting expectations. And just very briefly, what were you thinking when you said that the buried 511 01:03:51,460 --> 01:03:57,300 hidden finding is that only 18%, is it only 18% or is that a lot? 512 01:03:57,300 --> 01:04:05,060 In an environment in which there is strong positives and incentives to take the vaccine, 513 01:04:05,060 --> 01:04:10,900 you know, working in a hospital, most medical students are still required to take the jab. 514 01:04:10,900 --> 01:04:19,060 There's strong positive incentives to take the product and yet still less than 20% of these 515 01:04:19,780 --> 01:04:26,580 hospital employees were willing to take the booster. To me, that's stunning. Because these 516 01:04:26,580 --> 01:04:32,980 are the people that are encountering patients on a daily basis that are the most informed about 517 01:04:32,980 --> 01:04:40,260 whether or not these products are working in their potential risk. Even a mildly effective product with 518 01:04:40,820 --> 01:04:43,940 low or no risk, which is pretty much what the CDC 519 01:04:43,940 --> 01:04:52,660 CDC says officially is that these are safe. In a healthcare environment, even a partially effective 520 01:04:52,660 --> 01:04:59,700 vaccine with little or no risk, I would expect to have a pretty robust uptake, you know, 60, 80%. 521 01:05:00,900 --> 01:05:04,660 But here we have well less than 20% at one of the leading medical 522 01:05:05,540 --> 01:05:08,180 complexes in the United States, the Cleveland Clinic. 523 01:05:08,820 --> 01:05:14,340 Well, I mean, it's, it's been years now since I remember I had you on the show and you advocated 524 01:05:14,340 --> 01:05:19,380 for having these products be withdrawn. And I'm pretty sure you haven't changed your view on this. 525 01:05:19,380 --> 01:05:23,140 Well, thanks for reminding people forget that, that I was one of the first to, 526 01:05:23,700 --> 01:05:30,740 to come out and say that as was the group that we used to tour with, referred to as the PHA group. 527 01:05:30,740 --> 01:05:39,140 Uh, we, we did a whole thing on Dell Bigtree's, uh, studio, uh, where we called for withdrawal, 528 01:05:39,940 --> 01:05:46,420 um, many years ago now. Uh, and of course it was disregarded, uh, um, but here we are. 529 01:05:46,420 --> 01:05:52,980 Uh, and that, that is very, that conclusion, that is very interesting language, which suggests, 530 01:05:52,980 --> 01:05:59,220 uh, you know, some sort of shifting. It's pretty definitive. It's about as definitive as, 531 01:05:59,220 --> 01:06:00,340 uh, as I've heard. 532 01:06:00,340 --> 01:06:05,860 And from a major medical institution, uh, I, I, you know, 533 01:06:05,860 --> 01:06:14,660 uh, uh, we kind of bookended this session, this segment with Ashish Shah at the beginning. 534 01:06:15,700 --> 01:06:24,900 And now this statement from the Cleveland Clinic, uh, I think that, uh, there is a increasing openness 535 01:06:24,900 --> 01:06:35,140 to acknowledging, uh, the, uh, overstatement of risk associated with SARS-CoV-2, which is explicitly said here. 536 01:06:36,020 --> 01:06:43,540 I mean, that, that's one of the things that's a little bit stunning to me, uh, to prevent what is 537 01:06:43,540 --> 01:06:52,180 generally a mild or an asymptomatic infection in most healthy persons. That's, uh, that was heresy 538 01:06:52,740 --> 01:06:58,740 to say that a year or two years ago. And now it's coming out of a mainstream medical institution. 539 01:06:58,740 --> 01:07:08,900 Uh, so it's, it's as if some semblance of, of, uh, uh, uh, reality is, is kind of being allowed. 540 01:07:09,860 --> 01:07:17,220 Uh, I, you know, I, I get the feedback, uh, fairly frequently now that I've been validated, uh, which 541 01:07:17,940 --> 01:07:24,900 gives me no comfort, uh, that, that a lot of the things that you and I discussed so long ago have, 542 01:07:24,900 --> 01:07:33,460 have, have, uh, and were, were, uh, resoundingly, uh, criticized for saying, uh, have now been verified. 543 01:07:33,460 --> 01:07:45,540 That's, there's, uh, um, some peace, I think, in, in, uh, in seeing that, uh, you and I and so many others 544 01:07:45,540 --> 01:07:55,380 that stuck our necks out, uh, uh, have, are, are now being perceived as, uh, truth tellers 545 01:07:55,940 --> 01:07:58,980 at a time and telling truth was not very popular. 546 01:07:58,980 --> 01:08:00,500 Hopefully a little bit more at least. 547 01:08:02,100 --> 01:08:02,820 A modicum. 548 01:08:02,820 --> 01:08:03,220 Yeah. 549 01:08:04,260 --> 01:08:07,220 But anyway, I think, you know, I think that's it. I think we've kind of over, 550 01:08:07,220 --> 01:08:09,860 overshot our, our, our planned time a little bit. 551 01:08:10,340 --> 01:08:14,260 Um, we're going to do more just, uh, for the benefit of everybody. We are going to do more 552 01:08:14,260 --> 01:08:19,300 of these Q and A's, uh, in the future. Um, I asked, I think one of the users to please 553 01:08:20,340 --> 01:08:24,260 add me at a follow-up to your question. I'm going to look for that and I'll answer it. 554 01:08:25,060 --> 01:08:28,660 Um, and, uh, I don't know, any final quick thought, Robert? 555 01:08:29,860 --> 01:08:37,620 Uh, you know, be good to take your, uh, vitamin D and zinc and, uh, uh, please, uh, 556 01:08:38,260 --> 01:08:41,540 come back and join us next week on fallout. 557 01:08:44,260 --> 01:09:00,500 We'll see you next week. 558 01:09:14,260 --> 01:09:16,260 You