1 00:00:00,000 --> 00:00:19,520 Hello, everyone, and welcome to Fallout with Dr. Robert Malone and myself, Jan Jekielek. 2 00:00:19,840 --> 00:00:25,360 What a hearing this was that Ron Johnson held just a few weeks ago. An encapsulation of where 3 00:00:25,360 --> 00:00:32,400 we're at today with COVID, with COVID response, with the media, how malfeasance, I think the term 4 00:00:32,400 --> 00:00:38,340 I would use is, I mean, just kind of laying things out in a way that I hadn't seen before. 5 00:00:38,680 --> 00:00:45,940 It's interesting you say that because it came to pass in kind of an organic way. It was catalyzed 6 00:00:45,940 --> 00:00:51,380 by me just writing to Ron saying we're going to have this international COVID summit concurrent 7 00:00:51,380 --> 00:00:58,900 with CPAC. And would you be open to having hearings about the same time since we're going to have all 8 00:00:58,900 --> 00:01:07,020 these people coming internationally? Ron's mission was that each of these people testifying had to 9 00:01:07,020 --> 00:01:13,200 conclude their testimony within five minutes. People have been pestering me that there's a need 10 00:01:13,200 --> 00:01:22,020 for someone to summarize where we're at right now. And I think Ron's hearing catalyzed that kind of, 11 00:01:22,120 --> 00:01:28,120 it embodied it. First of all, I was thrilled with the fact that there was this significant section 12 00:01:28,120 --> 00:01:32,400 on the media, and some of those media were actually international, a little Canadians. And notably, 13 00:01:32,700 --> 00:01:37,500 one of the journalists, Rodney Palmer, made a kind of an interesting observation which really hit me, 14 00:01:37,580 --> 00:01:42,240 and that was that, you know, the media have been poisoned. As a result, we're kind of fighting over 15 00:01:42,240 --> 00:01:48,100 what is basic reality as opposed to figuring out, like, how to deal with things, right, 16 00:01:48,180 --> 00:01:54,860 in a reasonable way. When the news is poisoned, so is democracy, because we've stopped debating about 17 00:01:54,860 --> 00:02:00,500 what's right, and instead we waste our time arguing about what's true. One of these issues, actually, 18 00:02:00,600 --> 00:02:08,340 so Jessica Rose was one of the earliest people to testify, and she laid out very obviously in intricate 19 00:02:08,340 --> 00:02:17,360 detail how we know as a fact that these COVID vaccines cause harm, causal harm, not just correlational harm. 20 00:02:20,440 --> 00:02:25,720 Today, I speak for the people injured by the COVID-19 injectable products through VAERS data. 21 00:02:26,720 --> 00:02:31,880 Analysis of the VAERS pharmacovigilance database in the context of the COVID-19 injectable products 22 00:02:31,880 --> 00:02:37,820 has revealed strong emergent safety signals from myocarditis to death that are not being 23 00:02:37,820 --> 00:02:43,360 acknowledged by the owners of the data. This goes against standard operating procedures and begs the 24 00:02:43,360 --> 00:02:50,440 question, why are the injured being hidden? Fact, the Bradford Hill criteria are used to assess causality 25 00:02:50,440 --> 00:02:57,620 in epidemiological data, such as the VAERS pharmacovigilance system. Fact, the proportional reporting ratio 26 00:02:57,620 --> 00:03:02,260 is used to assess whether or not a particular adverse event is more commonly reported in the 27 00:03:02,260 --> 00:03:10,680 context of a particular drug. If the PRR is greater than one, a causal effect is indicated. Fact, the PRR 28 00:03:10,680 --> 00:03:17,780 calculation for death from VAERS in the context of the COVID-19 shots using current VAERS data is 3.6. 29 00:03:18,460 --> 00:03:26,800 Fact, the underreported number of deaths successfully filed to VAERS by January 20th, 2021 was 634. 30 00:03:26,800 --> 00:03:34,180 Based on historical guidelines, this was sufficient as a signal, not only to prompt an investigation, 31 00:03:34,880 --> 00:03:43,180 but to shut down the rollout of the COVID-19 shots. Fact, in 1999, a rotavirus vaccine designed to 32 00:03:43,180 --> 00:03:49,300 prevent rotavirus gastroenteritis was pulled from the market due to an intussusception signal emanating 33 00:03:49,300 --> 00:03:58,640 from VAERS, which comprised 584 cases. Question, if 584 cases of intussusception were enough to prompt product 34 00:03:58,640 --> 00:04:08,260 removal, then why weren't 634 cases of death not enough to prompt COVID-19 product removal? Fact, the early death count 35 00:04:08,260 --> 00:04:19,040 was hidden. Fact, currently 1,615,998 reports of adverse events have been successfully filed to VAERS in the context of the 36 00:04:19,040 --> 00:04:28,880 COVID-19 injectable products, with a staggering 1,013,442 reports filed in 2021 alone, when considering both the foreign and domestic 37 00:04:28,880 --> 00:04:36,600 data sets. The number of adverse events reported to the domestic VAERS data set for all vaccines combined has been on average 38 00:04:36,600 --> 00:04:45,660 39,000 in total per year, and has been very slowly and steadily increasing in direct proportion to the increasing number of vaccine 39 00:04:45,660 --> 00:04:55,740 products on the market. See slide one. In 2021, however, a 1,417% increase in reporting occurred, whereby 93% of these 40 00:04:55,740 --> 00:05:03,520 reports were in the context of the COVID-19 products. Fact, age is not deterministic for adverse event reporting. Since 41 00:05:03,520 --> 00:05:10,380 administration of the COVID-19 products to the 0 to 4 age group commenced, the rate of adverse event reporting has been 42 00:05:10,380 --> 00:05:21,580 increasing faster than for any other age group. Fact, the argument that this spike in reporting is due to increased shot 43 00:05:21,580 --> 00:05:29,500 administration is false. Slide two shows the comparison of the number of adverse events per million doses in the context of 44 00:05:29,500 --> 00:05:38,840 influenza vaccines and the COVID-19 injectable products in 2019 and 2021, respectively. On the left are the total adverse events, on the 45 00:05:38,840 --> 00:05:46,760 right are the deaths. The COVID-19 injectable products are associated with a 26 and a 100-fold increase in total adverse events and 46 00:05:46,760 --> 00:05:55,180 deaths, respectively, when compared per million doses with influenza vaccines in the same time frame. Fact, the Bradford Hill criterion 47 00:05:55,180 --> 00:06:04,500 reversibility is satisfied. When a drug is withdrawn, the side effects disappear. A strong correlation of R equals 0.8 and a high 48 00:06:04,500 --> 00:06:12,420 covariance exists between shot rollout data and myocarditis reports filed according to our world in data, new vaccination data and 49 00:06:12,420 --> 00:06:22,500 VAERS data, respectively. As shot demand wanes, so do the myocarditis reports. See slide 3a. Fact, the Bradford Hill criterion's specificity is 50 00:06:22,500 --> 00:06:33,460 satisfied. A very specific population at a specific site and disease is reported with no other likely explanation. Dose 2 is associated with a four-fold increase in 51 00:06:33,460 --> 00:06:43,460 reporting of myocarditis in 15-year-old boys. This indicates specificity with regard to age and gender. See slide 3b. Fact, the Bradford Hill criterion 52 00:06:43,460 --> 00:06:57,460 dose response is satisfied. Greater exposure leads to greater incidence of the effect. Following dose 2, an increase in signal occurs. See slide 3b. Fact, myocarditis is not transient 53 00:06:57,460 --> 00:07:05,460 or mild. A new paper published by rose at all in the journal therapeutic advances in drug safety shows that myocarditis 54 00:07:05,460 --> 00:07:15,460 is associated with hospitalization in 76% of reports. There are seven more Bradford Hill criterion criteria that are 55 00:07:15,460 --> 00:07:23,460 satisfiable. That's a 10 out of 10 bingo. Conclusion. Standard operating procedures for analysis of safety signals 56 00:07:23,460 --> 00:07:30,580 emergent from VAERS when utilized reveal causal links between the COVID-19 injectable products and the 57 00:07:30,580 --> 00:07:35,860 adverse events investigated. Standard operating procedures are not being followed by the owners of 58 00:07:35,860 --> 00:07:43,300 the data, namely CDC, HHS and FDA. And this equates to hiding the millions of people reporting not only adverse 59 00:07:43,300 --> 00:07:51,460 events but injuries in the context of the COVID-19 injectable products. Jessica's presentation was key. And Ron 60 00:07:51,460 --> 00:07:57,860 specifically wanted Jessica there. Jessica hadn't been able to attend previously because of various travel 61 00:07:57,860 --> 00:08:06,180 problems, etc. Ron had long wanted her to participate in the earlier presentations. And recently she's done a 62 00:08:06,180 --> 00:08:13,060 lot of hard work, you know, all through the COVID crisis, but it's really matured in her analysis of the 63 00:08:13,060 --> 00:08:19,140 vaccine adverse event reporting system of the CDC. And the stunning thing about this was this is all 64 00:08:19,140 --> 00:08:25,940 information that the CDC has known about and has hidden, has intentionally hidden as documented in 65 00:08:25,940 --> 00:08:31,780 these prior Epoch Times reports. So there's this other researcher that jumps to my mind right away as 66 00:08:31,780 --> 00:08:38,340 you're speaking, Raphael Lattister, who I wasn't frankly that familiar with before, but he's just completed 67 00:08:38,340 --> 00:08:46,020 the fourth of a series of papers looking at how the data that exists have been kind of used to exaggerate 68 00:08:46,020 --> 00:08:50,180 the safety and effectiveness of the jabs, which I thought was, you know, fascinating. 69 00:08:53,380 --> 00:08:58,980 I think Raphael has been one of the unsung heroes here. And he's done a lot of this publication together 70 00:08:58,980 --> 00:09:07,220 with Peter Doshi, the editor for BMJ, who's based at University of Maryland. And Raphael has driven a lot 71 00:09:07,220 --> 00:09:14,660 of that. He's got a fascinating story. He was subjected to pressure in Australia to lose his job because he 72 00:09:14,660 --> 00:09:21,620 wouldn't take the jab. He put together a dossier of information in his own defense saying, this is 73 00:09:21,620 --> 00:09:27,460 why I'm not willing to take the jab. I think one of the lovely things about Raphael is he's so modest. 74 00:09:27,460 --> 00:09:31,460 And absolutely. That was one of the things I noted. This is the kind of some of the most 75 00:09:31,460 --> 00:09:37,940 understated, incredibly hard hitting testimony. We have found in the studies varying definitions of 76 00:09:37,940 --> 00:09:44,980 fully vaccinated and unvaccinated. And generally, what we find with the term fully vaccinated is that 77 00:09:44,980 --> 00:09:51,300 they are ignoring COVID cases, COVID infections in the partially vaccinated. So this could be a few 78 00:09:51,300 --> 00:09:58,820 months worth of time where someone who's received the injections has a COVID infection, possibly because 79 00:09:58,820 --> 00:10:03,300 of the injection, as we've heard from other speakers today with immunosuppression and so forth. 80 00:10:04,100 --> 00:10:10,500 And yet it's not counted. It's completely ignored. And that effect was found to be up to 48%. Now, 81 00:10:10,500 --> 00:10:16,420 adverse effects in the observation studies, so relating to safety, a lot of these adverse effects 82 00:10:16,420 --> 00:10:23,460 are overlooked due to very narrow counting windows, including starting too late. So again, not counting 83 00:10:23,460 --> 00:10:29,700 what's happening in the partially vaccinated and ending too early, usually just a few months when we know 84 00:10:29,700 --> 00:10:36,980 there are long term effects such as myoconitis and so forth. Yeah, he's a great guy and understated, 85 00:10:36,980 --> 00:10:44,180 somebody that really ought to be recognized for his contributions during this. Well, and then there's 86 00:10:44,180 --> 00:10:49,300 this study reference that's been out for a little while now, referenced by Dell Bigtree, which had, 87 00:10:49,300 --> 00:10:56,500 you know, 99 million odd, right, you know, sample size. It's not bad. And this is a CDC study, by the 88 00:10:56,500 --> 00:11:02,580 way. The conclusions being drawn from this study by, let's call it the legacy media actors, including 89 00:11:02,580 --> 00:11:07,860 Fox News, is that right, are completely different from at least the conclusions that we would draw, 90 00:11:07,860 --> 00:11:12,260 I think, or that you pointed out to me. Yeah, different than the way that I read it. 91 00:11:12,980 --> 00:11:20,340 So this is a electronic publication in the journal Vaccine, which came out a few weeks ago, and the paper 92 00:11:20,340 --> 00:11:25,380 version will be coming out in a future issue. But they thought it was so important that they went ahead 93 00:11:25,380 --> 00:11:31,940 and published it electronically. And as you say, it's a survey of 99 million drawn from public 94 00:11:31,940 --> 00:11:38,100 databases. So these are government databases associated with the vaccine administration 95 00:11:38,980 --> 00:11:46,100 and the adverse events associated with that administration. The authors of this article, 96 00:11:46,100 --> 00:11:51,540 which, as you say, was sponsored by the CDC, they received a 10 million dollar grant to do this. 97 00:11:51,540 --> 00:11:56,980 And many of the authors have CDC affiliations. So this is pretty close to an official publication 98 00:11:57,540 --> 00:12:02,900 in a major peer-reviewed journal vaccine. But in the discussion, the authors acknowledged that 99 00:12:02,900 --> 00:12:09,460 all of these databases that they accessed were biased to under-report adverse events. Now, 100 00:12:09,460 --> 00:12:16,260 that's an easy thing to say. But when you unpack that, we know the reality. The average person that's 101 00:12:16,260 --> 00:12:22,020 just listening to this may not recognize what that really means. What it is, is an acknowledgement 102 00:12:22,900 --> 00:12:33,380 that these public databases are biased because physicians were unwilling to report adverse events. 103 00:12:33,380 --> 00:12:39,220 There were all kinds of disincentives to do so. And in many cases, the physician reports like happened 104 00:12:39,220 --> 00:12:45,700 in Canada would be deleted by the National Health Service as for any reason they could think of, 105 00:12:45,700 --> 00:12:52,180 saying that they were not accurate or valid. Despite all of that bias in the data, 106 00:12:53,140 --> 00:13:01,220 these authors with this rigorous 99 million analysis concluded that there was very strong statistical 107 00:13:01,220 --> 00:13:09,300 correlation between administration of the jab and a 45-day follow-up. So it's a short period of follow-up 108 00:13:09,300 --> 00:13:16,900 after vaccination. And three key types of adverse events. There's the cardiac damage, there's the 109 00:13:16,900 --> 00:13:25,460 sinus thrombosis, so in the brain, blood clots, and Guillain-Barre syndrome, this autoimmune-associated 110 00:13:25,460 --> 00:13:32,500 paralysis. So those were the three that had really strong correlations despite the bias in the data. 111 00:13:32,500 --> 00:13:37,940 But the authors acknowledged there was a number of other ones that looked like they were significant, 112 00:13:37,940 --> 00:13:43,860 but they didn't meet their rigorous criteria for a highly significant correlation. But what they 113 00:13:43,860 --> 00:13:49,460 did say is these should all be followed up and more carefully examined. And the press took this 114 00:13:50,100 --> 00:13:54,820 and they took the discussion section that had been written. The discussion section can talk about 115 00:13:54,820 --> 00:14:01,940 whatever they want, cite whatever papers they want. It was kind of a selective reporting and it cited a number 116 00:14:01,940 --> 00:14:09,460 of papers suggesting that these were relatively infrequent or rare. Now, rare is in the eye of the beholder. 117 00:14:09,460 --> 00:14:14,740 If you're the person that has developed Guillain-Barre syndrome or your relative or your child, 118 00:14:14,740 --> 00:14:22,820 it may not seem very rare to you. So rare is subjective. But the authors in their discussion section 119 00:14:22,820 --> 00:14:29,940 talked about other papers that had studied these things and said that they were rare. And the press picked up on that. 120 00:14:29,940 --> 00:14:36,180 They said, well, now the CDC, this study is acknowledging that these adverse events actually 121 00:14:36,180 --> 00:14:41,140 are happening, but they're still rare. But that wasn't actually what the paper concluded. The paper 122 00:14:41,140 --> 00:14:48,660 concluded that they were highly correlated and that further analysis was necessary and that this high 123 00:14:48,660 --> 00:14:54,580 correlation was detected despite the fact that these data were skewed, biased. 124 00:14:54,580 --> 00:15:00,660 One thing that just jumps to my mind also, you know, I had Kevin McKernan on the show on American 125 00:15:00,660 --> 00:15:06,900 Thought Leaders some time ago and he had found these DNA fragments in the jabs that shouldn't be there. 126 00:15:08,580 --> 00:15:16,420 So what Kevin did was he took the actual vaccine material with its DNA contamination and put it onto 127 00:15:16,420 --> 00:15:25,460 cultured cells basically to quiet down or address the fact checkers that said that, well, this hasn't been shown 128 00:15:25,460 --> 00:15:31,380 with these vaccines. And so he took the actual vaccine product, put it on cells and showed that in fact he could get 129 00:15:31,380 --> 00:15:38,420 integration. Not only could he get transfection, the delivery of those DNA fragments into those cells with high frequency, 130 00:15:38,420 --> 00:15:42,980 but he could also detect integration. What I want to talk to you today is about the DNA 131 00:15:42,980 --> 00:15:47,540 contamination that our team at Medistal Genomics discovered in the mRNA vaccines. We're specifically 132 00:15:47,540 --> 00:15:52,180 speaking about Pfizer and Moderna in this case. This work has been replicated by many labs around the 133 00:15:52,180 --> 00:15:58,420 world. And now the FDA, the EMA and even Health Canada have admitted to this. The regulatory agents have 134 00:15:58,420 --> 00:16:06,260 admitted that Pfizer also omitted the SV40 sequences that are in their vaccine. DNA contamination can lead to 135 00:16:06,260 --> 00:16:11,380 insertional mutagenesis. This is actually declared in Moderna's own patents regarding mRNA vaccines. 136 00:16:11,380 --> 00:16:18,820 This is U.S. patent 10,000,898,574. This is also supported by Lim et al., which speaks to the rate of 137 00:16:18,820 --> 00:16:23,220 spontaneous integration in the genome during transfection. We are using transfection after all 138 00:16:23,220 --> 00:16:29,220 with LNPs. The SV40 DNA is in fact functional. It is published as a potent gene therapy tool in a 139 00:16:29,220 --> 00:16:35,940 nuclear targeting sequence as described by David Dean et al. The SV40 promoter DNA is also known to bind to the 140 00:16:35,940 --> 00:16:40,500 tumor suppressor gene known as p53. We've applied these vaccines to some cancer cell lines and have 141 00:16:40,500 --> 00:16:44,980 evidence that it enters the cell and can survive several cell divisions. We have preliminary 142 00:16:44,980 --> 00:16:49,620 evidence, although this requires replication in other labs, that this DNA can integrate into the 143 00:16:49,620 --> 00:16:54,660 genome. We found two spike sequence integration events in ovarian cancer cell lines of CAR3 into 144 00:16:54,660 --> 00:17:00,820 chromosome 12 and 19 very recently. Kevin, in this wonderful little concise segment, basically says, 145 00:17:00,820 --> 00:17:06,500 in order to address the fact checkers, I've done these things, bang, bang, bang, and they were wrong 146 00:17:06,500 --> 00:17:10,020 about this, and they were wrong about that, and they were wrong about that. He talks about that they 147 00:17:10,020 --> 00:17:15,620 denied that the DNA was there, and now the agencies are all acknowledging that it's there, and they 148 00:17:15,620 --> 00:17:20,100 denied that it could be delivered, and he's demonstrated that it could be delivered, and they 149 00:17:20,100 --> 00:17:24,900 said it couldn't possibly integrate because that's what Peter Marks said, and in fact he's demonstrated that 150 00:17:24,900 --> 00:17:31,220 it integrates. So all of that stuff is now moot. God bless him. If I can harp on this for a moment, 151 00:17:31,220 --> 00:17:37,460 it's just astonishing to me that this lipid nanoparticle technology would be specifically used, 152 00:17:38,420 --> 00:17:46,340 like it's known as a method to cause integration in the first place. It's not perplexing to me. I spent 153 00:17:47,700 --> 00:17:52,340 15-20 years doing this, developing this tech. But what are the implications of this? 154 00:17:52,340 --> 00:17:58,820 That's why I was so shocked. When I first heard about Kevin's findings with the DNA fragments, 155 00:17:58,820 --> 00:18:05,780 and the SV-40 sequence fragment that's present in there, and the nuclear localization sequence, 156 00:18:05,780 --> 00:18:11,860 etc., this was first brought to me by David Weissman. And he said, there's this data, Robert, 157 00:18:11,860 --> 00:18:18,500 what do you think about this? And I said, he darn well better be sure that this is the true plasmid map, 158 00:18:18,500 --> 00:18:24,260 and that it actually has these SV-40 sequences in there. Because if he's right, the implications 159 00:18:24,260 --> 00:18:29,460 are profound. And then three months later, it's now been replicated by multiple laboratories all 160 00:18:29,460 --> 00:18:35,540 over the world, and confronted the FDA, and confronted Health Canada, and they've all concurred 161 00:18:35,540 --> 00:18:41,780 that in fact the DNA fragments are there. The implications have been right out front from the 162 00:18:41,780 --> 00:18:48,180 very beginning. And so in a very brief nutshell, why are the implications so profound? 163 00:18:49,380 --> 00:18:56,580 Because this tech is specifically used to deliver polynucleotides. It's agnostic. It doesn't care if 164 00:18:56,580 --> 00:19:04,900 it's RNA or DNA. And there was all this discussion early on because of a Rudy Yanish paper published in 165 00:19:04,900 --> 00:19:12,420 Proceedings in National Academy of Sciences. So Rudy is one of the core molecular virologists at MIT. 166 00:19:13,060 --> 00:19:18,580 And he had said that in the presence of reverse transcriptase, this RNA could be turned into DNA, 167 00:19:18,580 --> 00:19:26,260 and it would integrate based on some essentially disrupted genome of cells, certain type of liver 168 00:19:26,260 --> 00:19:34,100 cells, hep G2, a very artificial cell system. And I'd always said, well, that's a very contrived 169 00:19:34,100 --> 00:19:39,620 system. That probably isn't happening very often in humans after administering this. 170 00:19:41,300 --> 00:19:48,260 And then along comes Kevin's data that there's DNA there. That's a slam dunk, as far as I'm concerned, 171 00:19:48,260 --> 00:19:54,500 as somebody who gave rise to this technology and is a bona fide expert in it. That is specifically 172 00:19:54,500 --> 00:20:02,420 what this technology was originally developed for, was delivering DNA into cells in order to 173 00:20:03,140 --> 00:20:09,700 create cell lines or enable short-term expression of proteins off of that DNA. That's why it was 174 00:20:09,700 --> 00:20:14,420 created. It's also used for the CRISPR-Cas9 system. Right. 175 00:20:14,420 --> 00:20:22,740 Okay. So this is exactly what the tech was developed for. And no surprise that it would have this effect 176 00:20:22,740 --> 00:20:28,900 when injected into humans. And CRISPR, that Cas9 system, is the sort of, you know, gene editing 177 00:20:28,900 --> 00:20:36,420 system just for everyone's benefit. Yeah. When Kevin did that sequencing, identified those fragments, 178 00:20:36,420 --> 00:20:42,420 and then reassembled a plasmid map based on his core competency in genomic sequencing, 179 00:20:43,140 --> 00:20:49,140 using the available tools that he routinely uses, it changed everything as far as I was concerned 180 00:20:49,860 --> 00:20:59,140 about the risk profile. And yet what was amazing was the response from the official community, the FDA, 181 00:20:59,860 --> 00:21:10,020 and kind of the academic supporters that the press often goes to, was a full-on denialism that this could 182 00:21:10,020 --> 00:21:17,540 possibly result in integration. When any undergraduate doing cell culture work 183 00:21:18,660 --> 00:21:24,580 and using DNA to manipulate those cells, knows that's exactly what this tech is designed for. 184 00:21:24,580 --> 00:21:32,660 It must be done a million times a year, at least, worldwide. We developed these cationic lipid compounds 185 00:21:32,660 --> 00:21:37,460 and sold them to the likes of ProMega as reagents. I was going to say a million times a year, 186 00:21:37,460 --> 00:21:46,180 but not in vivo in human cells, right? Not in vivo, no, in human cells, but not in whole animals. 187 00:21:46,180 --> 00:21:52,420 Right. For me, it's been an Alice in Wonderland situation through the looking glass to know that 188 00:21:53,140 --> 00:22:00,340 this technology is specifically used for this. It was designed for this. It's marketed for this. I've 189 00:22:00,340 --> 00:22:07,140 developed marketed compounds for the research industry that we had patents on, we sold, 190 00:22:07,140 --> 00:22:14,980 to research reagent companies to do this, and then to have the FDA denying decades of experience that, 191 00:22:14,980 --> 00:22:21,540 in fact, this is the properties of this technology, was a bizarre moment in time. Since Kevin's data have 192 00:22:21,540 --> 00:22:27,860 come out, it's almost self-evident. So let's do a quick accounting as we kind of finish this segment 193 00:22:27,860 --> 00:22:35,620 of kind of the issues, right? I mean, I'm just kind of off the top of my head. We've kind of used in these gene therapy, 194 00:22:36,580 --> 00:22:43,940 you know, vaccine-named products, we've used a very toxic protein, right, as the antigen. 195 00:22:43,940 --> 00:22:44,340 Yeah. 196 00:22:44,340 --> 00:22:47,140 Which is, you know, there's a question mark. 197 00:22:47,140 --> 00:22:48,180 Engineered antigen. 198 00:22:48,180 --> 00:22:54,260 It's engineered. There's this, you know, pseudouridine in it, which causes this 199 00:22:54,260 --> 00:23:00,100 ribosomal frame shifting. So then, you know, I think it's 8% of the proteins are the wrong thing, 200 00:23:00,100 --> 00:23:05,620 with possibly some kind of immunological activity in itself. So we've got that. We've got this DNA 201 00:23:05,620 --> 00:23:11,940 contamination. We've got the endotoxin, which is the cell wall contamination, from that same process 202 00:23:12,740 --> 00:23:19,700 in there. We've got a lot of variation in the way production, it seems like the quality control, 203 00:23:19,700 --> 00:23:26,580 ostensibly very poor. And governments are blocked from actually verifying the purity, potency, 204 00:23:27,540 --> 00:23:35,860 and identity of the products by contract with Pfizer and Moderna. Yeah. So Ron really wanted to have 205 00:23:35,860 --> 00:23:44,580 somebody put down a punch list of these kinds of specific, where do we stand with the vaccine 206 00:23:44,580 --> 00:23:51,300 science and the effects. And after all the dust settled of everything, everybody else organized, 207 00:23:51,300 --> 00:23:57,620 he asked me to roll out my punch list of what I thought were the key things that we've learned 208 00:23:57,620 --> 00:24:03,460 about the vaccine adverse events and other characteristics, much as you're doing. And I came 209 00:24:03,460 --> 00:24:09,460 up with this little list. The modified mRNA and adenovectored products are not traditional vaccines. 210 00:24:10,500 --> 00:24:14,820 They employ cutting edge gene delivery or gene therapy technologies and should be regulated as 211 00:24:14,820 --> 00:24:20,020 gene therapy products. That's still being considered controversial, by the way. There are still fact 212 00:24:20,020 --> 00:24:26,020 checkers that are denying that this is gene therapy technology. Despite the fact that we had Bayer 213 00:24:26,020 --> 00:24:32,420 pharmaceuticals come out the other day and explicitly refer to these as gene therapy products, 214 00:24:32,420 --> 00:24:39,300 and basically celebrate that now the populace is accepting gene therapy products and the field can 215 00:24:39,300 --> 00:24:46,100 advance. We're really taking that leap, us as a company buyer, in cell and gene therapy, which to me 216 00:24:46,100 --> 00:24:52,340 is one of these examples where really we're going to make a difference hopefully moving forward. There's some 217 00:24:53,300 --> 00:24:59,060 ultimately the the mRNA vaccines are an example for that cell and gene therapy. I always like to say 218 00:24:59,060 --> 00:25:06,020 if we had surveyed two years ago in the public would you be willing to take a gene gene or cell 219 00:25:06,020 --> 00:25:12,020 therapy and inject it into your body, we would have probably had a 95 percent refusal rate. These leaky 220 00:25:12,020 --> 00:25:19,220 products, there's no denying that these are unsuccessful in preventing infection replication and spread of the 221 00:25:19,220 --> 00:25:28,420 virus. And we had recent testimony from the CDC representative on the hill that acknowledged finally and persistent 222 00:25:28,420 --> 00:25:35,220 questioning that these products don't prevent infection. And just to recap, to reel back in time, 223 00:25:35,780 --> 00:25:41,140 at the very outset of this I did a deep dive into the history of coronavirus vaccines, which many other 224 00:25:41,140 --> 00:25:48,100 people did too. And the truth was there has never been a successful human coronavirus vaccine. 225 00:25:48,100 --> 00:25:52,900 Because the things mutate so much, so it doesn't make a ton of sense. A whole lot of reasons they're 226 00:25:52,900 --> 00:25:59,300 able to evade immune responses. They mutate really rapidly to escape them. There's never been a successful 227 00:25:59,300 --> 00:26:05,460 coronavirus vaccine. And I argue there still has not been a successful coronavirus vaccine in terms of 228 00:26:05,460 --> 00:26:12,420 preventing infection replication or spread. We're down to arguing the nuance of whether or not there's a 229 00:26:12,420 --> 00:26:20,260 short-term benefit in terms of hospitalization or death. We know there's not a long-term benefit after 230 00:26:20,260 --> 00:26:27,060 receiving these products because of the negative effectiveness that after two to three months post 231 00:26:27,060 --> 00:26:35,220 vaccination, you actually become more likely to have significant COVID disease or death. Surprise. 232 00:26:35,460 --> 00:26:41,460 Point three. In contrast to official HHS communications, these products distribute 233 00:26:41,460 --> 00:26:46,900 throughout the body. So this is another lie. They go all over your body. They don't just stay in the 234 00:26:46,900 --> 00:26:51,700 shoulder after you're injected. Because that's what the lipid nanoparticles are designed to do, 235 00:26:51,700 --> 00:26:57,540 is go everywhere. And your body handles them like other lipids. It distributes them all over your body. 236 00:26:58,100 --> 00:27:05,220 So who cares? Well, what happens is not only is the lipid nanoparticle toxic, so that 237 00:27:05,220 --> 00:27:11,700 toxicity goes with it wherever it happens to go in your body. But then when it produces these proteins, 238 00:27:11,700 --> 00:27:16,340 both the frame-shifted proteins and the spike protein, the engineered spike protein, 239 00:27:17,060 --> 00:27:23,300 those are seen as foreign. And your body's immune system will attack those cells wherever they are in 240 00:27:23,300 --> 00:27:29,300 your body because they're producing a foreign protein. Okay, so that's a problem. The viral spike 241 00:27:29,300 --> 00:27:35,220 protein which these products cause patients' bodies to manufacture is a genetically engineered toxin. 242 00:27:35,220 --> 00:27:43,060 That's now well established. The lipid nanoparticle used to deliver the mRNA has intrinsic toxicity in 243 00:27:43,060 --> 00:27:49,620 humans. That's now established fact. These products do not deliver natural messenger RNA, 244 00:27:49,620 --> 00:27:53,780 but rather a synthetic chemically modified form. This is the pseudouridine, 245 00:27:54,420 --> 00:28:01,220 with its bizarre characteristics that it suppresses inflammation. And it also 246 00:28:02,260 --> 00:28:08,740 causes these products to last a really long time. Remember early on we were told, well, the RNA, 247 00:28:08,740 --> 00:28:13,780 it goes into your arm, it goes to the draining lymph nodes, doesn't go anywhere else, and it's gone in a 248 00:28:13,780 --> 00:28:18,180 couple hours, so don't worry about it. All those were wrong. Well, except that this was 249 00:28:18,180 --> 00:28:24,500 the pseudouridine was been specifically to allow the technology to work in the first place. Yeah. 250 00:28:24,500 --> 00:28:29,780 Because otherwise, because if it gets gone in an hour or whatever it is, then it actually can't work. 251 00:28:29,780 --> 00:28:35,620 Or actually, the justification that Carrico and Weissmann used in their early paper 252 00:28:36,500 --> 00:28:44,500 was that it would suppress the inflammatory response to the RNA itself. When they made that 253 00:28:44,500 --> 00:28:50,820 discovery, the whole science of pseudouridine was still in its infancy. And all of these other 254 00:28:50,820 --> 00:28:57,540 effects that we now know more about, but we still don't really know about, were unknown. So they kind 255 00:28:57,540 --> 00:29:02,740 of were out on the edge and said, hey, let's take a lark. Let's try this thing. We're trying to find 256 00:29:02,740 --> 00:29:09,220 some way to make this thing work. And they did it because they knew that the inflammatory response 257 00:29:09,220 --> 00:29:15,460 triggered by the RNA itself was a major problem. The side effect was that it had this longer lasting. 258 00:29:16,580 --> 00:29:20,740 These products are contaminated with previously undisclosed short DNA fragments. We just talked 259 00:29:20,740 --> 00:29:26,100 about that. This is Kevin McKernan et al. Many others have contributed this, but Kevin certainly 260 00:29:26,100 --> 00:29:32,820 deserves the gold star for being the leader and pioneering us. Analysis of public databases clearly 261 00:29:32,820 --> 00:29:37,940 demonstrate a causal relationship between administration of these products and a variety of toxicities, 262 00:29:37,940 --> 00:29:43,380 including cardiac damage, central and peripheral nervous system damage, and damage associated 263 00:29:43,380 --> 00:29:49,220 with abnormal blood clotting and death. This was the stuff that was covered so well by Jessica Rose. 264 00:29:50,900 --> 00:29:55,540 Public health data from a wide variety of Western government sources demonstrate that repeated 265 00:29:55,540 --> 00:30:02,500 administration of these products are associated with this problem of negative efficacy. 266 00:30:02,500 --> 00:30:12,260 And we also had testimony about that. In particular, the elevation of IG4, also kind of inside baseball, 267 00:30:12,260 --> 00:30:20,740 what is IG4? It's a variety of immunoglobulin. It's a category of immunoglobulin. There's many different 268 00:30:20,740 --> 00:30:29,940 kinds of immunoglobulins. And IG4 is typically upregulated conditions that involve allergic responses, 269 00:30:29,940 --> 00:30:37,460 responses, and it's associated with downregulating adaptive inflammatory responses, so anti-infectious 270 00:30:37,460 --> 00:30:47,380 disease responses. So the problem with elevated IG4, particularly after repeat administration, 271 00:30:47,380 --> 00:30:56,180 is this general problem of immune imprinting, original antigenic sin, downregulating immune response. 272 00:30:56,180 --> 00:31:05,380 If your child has an allergy and you go to an allergist, what do they do? They give them allergy shots. 273 00:31:06,340 --> 00:31:13,940 They basically expose them to ragweed pollen, for example, through intradermal injections. Your child 274 00:31:13,940 --> 00:31:20,820 eventually develops a tolerance for ragweed pollen. Functionally, what this IG4 data show is that a 275 00:31:20,820 --> 00:31:26,980 similar thing is happening is happening with the COVID jabs. And strangely, what the CDC recommendations 276 00:31:26,980 --> 00:31:36,180 are doing is driving people that are fully compliant to have a response akin to what your allergist might 277 00:31:36,180 --> 00:31:44,100 have your child do with ragweed pollen, where it's actually pushing down the ability of your body to 278 00:31:44,100 --> 00:31:52,900 respond to COVID. These are, I think, the key things that are really at the center of an update of where we 279 00:31:52,900 --> 00:32:00,500 at right now with these products. While the CDC is once again recommending that the elderly take their next 280 00:32:01,380 --> 00:32:09,780 dose, to my eye, the data show that the elderly have more adverse events than do some of the younger 281 00:32:09,780 --> 00:32:14,900 cohorts. So they both have more risk from the virus, but they also have more risk from the vaccine. 282 00:32:14,900 --> 00:32:22,980 The CDC also is now kind of normalizing COVID, saying that we no longer have to have this five-day 283 00:32:22,980 --> 00:32:29,380 quarantine period. We can treat COVID more like any other respiratory virus. They're trying to get 284 00:32:29,380 --> 00:32:35,460 all of their guidance for respiratory viruses aligned so that basically we have one guidance, 285 00:32:35,460 --> 00:32:41,620 whether it's flu or RSV or COVID. It seems that we're in this bizarre, through the looking glass 286 00:32:41,620 --> 00:32:48,340 world where the data are completely misaligned with the public policy positions. 287 00:32:48,340 --> 00:32:54,420 I think we've covered the kind of state of the jab part of the hearing pretty well here today. But 288 00:32:54,420 --> 00:33:01,060 frankly, I think the entire hearing deserves watching. I mean, there's some highlight reels around. I know in 289 00:33:01,060 --> 00:33:07,700 Senator Johnson's Twitter feed and his rumble. I completely agree. And some of the highlights 290 00:33:07,700 --> 00:33:13,780 are stunning, like Laura Logan's talking about the media and what's happened. Some of the Canadian 291 00:33:13,780 --> 00:33:19,540 testimony we had, as you mentioned, a Canadian journalist and also a Canadian politician. And 292 00:33:19,540 --> 00:33:28,500 data from Romania showing that there was very low uptake, basically Romanian resistance to the green card. 293 00:33:28,500 --> 00:33:36,500 And yet they have the best outcome in Europe in terms of all-cause mortality. Just as we might, 294 00:33:36,500 --> 00:33:42,260 you and I might expect, less jabs, better outcome. It's a paradox. 295 00:33:42,260 --> 00:33:49,620 So there's room for some kind of observational study, possibly to look at Sweden, to look at Romania, 296 00:33:49,620 --> 00:33:55,700 and then look at some of the places that had both heavy lockdowns and heavy jab. That's interesting. 297 00:33:55,700 --> 00:34:02,500 And I'm hearing from a lot of other people that somehow this one feels like a turning point. 298 00:34:03,140 --> 00:34:09,300 Because I think in part, it was broader. It was multinational, international. 299 00:34:10,500 --> 00:34:14,340 And it was more aimed at the questions that real people have. 300 00:34:14,340 --> 00:34:19,700 So actually, that's what I heard as well. So I want to recommend everyone, all our viewers, 301 00:34:19,700 --> 00:34:24,820 check out the hearing, check out the highlight reel, learn a bit more. It's packed full of amazing 302 00:34:24,820 --> 00:34:30,820 information. And I think we should actually shift gears a little bit and head over to a different 303 00:34:30,820 --> 00:34:36,100 vaccine to think about the flu vaccine now, a little bit of its background. So we're going to take a short 304 00:34:36,100 --> 00:34:39,460 break right now. And after that, we're going to hit you with some Vax Facts. 305 00:34:39,460 --> 00:34:46,500 Let's talk about the flu vaccine. I really like using the flu vaccine as a starting point, 306 00:34:46,500 --> 00:34:52,500 an entry-level thing for talking about vaccines, because it covers so much of the whole vaccine 307 00:34:52,500 --> 00:34:58,980 technology space. And in the case of flu, what's interesting is, in many ways, what we covered a 308 00:34:58,980 --> 00:35:06,660 couple of segments ago when we talked about the history of the 1918 H1N1 pandemic. The myth around that 309 00:35:06,660 --> 00:35:13,140 pandemic is really what underlies not only the entire vaccine enterprise, but especially the 310 00:35:13,140 --> 00:35:20,260 influenza enterprise, because the government has taken as a policy position that it's their 311 00:35:20,260 --> 00:35:28,980 responsibility to prevent a 1918 H1N1 from ever happening again. And we think that now that there 312 00:35:28,980 --> 00:35:35,700 might have been other factors than the actual influenza virus that caused this. Those are the data that come 313 00:35:35,700 --> 00:35:41,860 from Walter Reed looking at old army autopsy samples. 100%. We'll get our folks to check out 314 00:35:41,860 --> 00:35:49,700 that episode if they're not familiar. Yes. So in a way, the whole influenza strategy is kind of built on 315 00:35:49,700 --> 00:35:56,900 a myth that we now know isn't really true. But it has a life of its own, like many bureaucratic things. 316 00:35:56,900 --> 00:36:05,060 And in the case of flu, the reason why we all get pushed to take an annual influenza vaccine here 317 00:36:05,060 --> 00:36:10,980 in the United States, as opposed to Brazil or many other countries that don't mandate and don't promote 318 00:36:10,980 --> 00:36:17,940 annual influenza vaccines is because there's a need to maintain, here's the key word, warm-based 319 00:36:17,940 --> 00:36:26,580 manufacturing. What that means is the government believes that in the event that a 1918-like thing 320 00:36:26,580 --> 00:36:31,940 happens again, we're going to have to be able to make enough influenza vaccine for everybody. 321 00:36:31,940 --> 00:36:37,460 But you can't just stand up and influence a vaccine manufacturing facility and mothball it. 322 00:36:37,460 --> 00:36:43,140 You have to keep it in production because otherwise you can't really turn it back on again. 323 00:36:43,140 --> 00:36:47,940 Well, and you need eggs, right? That's something a lot of people don't know. 324 00:36:47,940 --> 00:36:57,140 Yes. So most influenza vaccines are manufactured in eggs because flu will grow in chick embryos. Flu 325 00:36:57,140 --> 00:37:03,380 grows like crazy in wild birds. So all the migratory geese and ducks and everything else 326 00:37:04,260 --> 00:37:09,540 carry a lot of influenza with them. And they poop enormous amounts of influenza into the water, 327 00:37:09,540 --> 00:37:15,780 by the way. So the whole idea that we could somehow vaccinate all chickens in the United States 328 00:37:15,780 --> 00:37:23,540 and stop bird flu is false. The thesis is that we have to have this massive ability to rapidly 329 00:37:23,540 --> 00:37:28,580 manufacture enough flu vaccine to inoculate the entire population of the United States and 330 00:37:28,580 --> 00:37:35,300 preferably the rest of the world to prevent some horrible outcome that might occur like 1918. And how 331 00:37:35,300 --> 00:37:43,780 are you going to do that if you just have, you know, people, elderly, the children that are immunocompromised, 332 00:37:43,780 --> 00:37:48,500 the people that are really at risk for influenza for dying, if they're the only ones that are getting 333 00:37:48,500 --> 00:37:56,100 the vaccine? You can't sustain the manufacturing if you don't have the market. That they've created a market 334 00:37:56,980 --> 00:38:03,940 through the annual influenza vaccine campaigns in order to sustain the warm-based manufacturing 335 00:38:03,940 --> 00:38:10,180 in case someday we have a 1918. That's the chain that's happening. And what's happened over time 336 00:38:10,180 --> 00:38:16,420 is they've kind of changed the goalposts. They used to focus on whether or not the vaccine would protect 337 00:38:16,420 --> 00:38:23,140 against infection. That was efficacy. Now they've changed efficacy to whether or not it protects against 338 00:38:23,140 --> 00:38:29,540 severe disease. Reminds me of another vaccine. Sounds awful familiar, doesn't it? Just like COVID, 339 00:38:29,540 --> 00:38:35,860 the same games. And that's no surprise because that's kind of how CDC grew up their whole vaccine 340 00:38:35,860 --> 00:38:41,140 enterprise. Well, so the other thing that jumps to my mind is, you know, we've talked about a number 341 00:38:41,140 --> 00:38:45,860 of times on this show and certainly on American Thought Leaders, this idea of immune tolerance. Sometimes 342 00:38:45,860 --> 00:38:52,260 it's called a negative vaccine efficacy. Immune imprinting is another word. And there's other fancier 343 00:38:52,260 --> 00:38:59,620 words that are kind of inside baseball for immunologists and vaccinologists. I've lost two key 344 00:38:59,620 --> 00:39:07,620 clients in the past by even talking about this. This was a third rail in influenza vaccines for years and 345 00:39:07,620 --> 00:39:14,980 years and years. You weren't supposed to talk about this problem of negative efficacy or of immune 346 00:39:14,980 --> 00:39:22,580 intolerance. But it's influenza literature. And what's shown again and again is that when you have 347 00:39:22,580 --> 00:39:28,340 these annual boosters, when you're repeatedly vaccinating somebody against influenza, they actually 348 00:39:28,340 --> 00:39:36,980 become less responsive to a new influenza infection. Their bodies get trained to respond to the last 349 00:39:36,980 --> 00:39:43,060 influenza or the one that had the biggest impact on their immune system, perhaps their first one. 350 00:39:43,060 --> 00:39:50,420 And then you keep boosting them. But what happens is you end up boosting antibodies and immune response 351 00:39:50,420 --> 00:39:58,740 from an antiquated strain a lot of times. And so then your body isn't able to adapt and respond rapidly 352 00:39:58,740 --> 00:40:04,820 to a new strain that's different. This annual influenza vaccine strategy, while it may be great for 353 00:40:04,820 --> 00:40:11,060 maintaining warm-based manufacturing, it isn't so great for the patient because they actually become more 354 00:40:11,060 --> 00:40:17,460 likely in some cases, in many cases, to become infected with the latest influenza strain. If you keep 355 00:40:17,460 --> 00:40:24,740 giving an antigen, you keep giving an influenza shot again and again and again, what you can do is train 356 00:40:24,740 --> 00:40:30,340 somebody's immune system to not react to influenza. I've heard that you can actually get influenza from 357 00:40:30,340 --> 00:40:37,780 getting a shot. And that's a little bit complicated to answer. It turns out that one of the influenza vaccines 358 00:40:37,780 --> 00:40:46,980 is the intranasal live attenuated flu mist product. It's restricted to people, I think it's 4 to 49. 359 00:40:46,980 --> 00:40:53,700 It can't be used in pregnancy. It can't be used in immunocompromised because it is a live influenza virus. 360 00:40:53,700 --> 00:41:00,900 It's a weakened one. That's what the word attenuated is. And it goes into your nose, but it can cause disease 361 00:41:00,900 --> 00:41:08,020 in some people. So yeah, the answer is in the case of flu mist, you absolutely can get influenza if you 362 00:41:08,020 --> 00:41:13,940 are somebody who has basically a weak immune system. Should people be getting this vaccine? 363 00:41:13,940 --> 00:41:20,900 That's a good question. You're basically putting me on the spot to go against CDC guidance and lose my 364 00:41:20,900 --> 00:41:27,860 medical license and God only knows what else these days. But I'll say it this way. I don't take an annual 365 00:41:27,860 --> 00:41:34,820 influenza vaccine. Many countries throughout the world do not recommend annual influenza vaccination. 366 00:41:34,820 --> 00:41:42,740 If you're an elderly person with a history of upper respiratory infections or immunocompromised, 367 00:41:42,740 --> 00:41:49,140 it may make sense for you. But I think for the average person, it's just like with COVID. 368 00:41:49,140 --> 00:42:00,340 If you get a periodic influenza infection, it's going to generate a robust immunity that's complex. It's 369 00:42:00,340 --> 00:42:08,020 cellular and humoral, and it's going to be against all the different influenza antigens. And that's 370 00:42:08,020 --> 00:42:16,020 probably some of the best immune response you can get, to not be afraid of the annually circulating 371 00:42:16,020 --> 00:42:22,180 influenza. There's another one where we're surrounded by fear messaging. You must get 372 00:42:22,180 --> 00:42:29,060 your influenza vaccine. Influenza kills people. Well, the truth is the people that are at high risk 373 00:42:29,060 --> 00:42:36,820 for death from upper respiratory viral infections like influenza, RSV, COVID, beta coronaviruses, 374 00:42:37,940 --> 00:42:44,820 other respiratory viruses, are people that are already not well. People that already have compromised 375 00:42:44,820 --> 00:42:50,980 immune systems that are elderly. In some cases, it's just the thing that tips the balance. 376 00:42:52,340 --> 00:42:58,580 You're already on the edge in terms of your health, and you get a pneumonia, and that knocks you out. 377 00:42:59,700 --> 00:43:05,620 You can also have that from an ascending urinary tract infection. That's a common way that old people 378 00:43:05,620 --> 00:43:10,820 die. And there's also, you know, ways you can kind of protect yourself to strengthen your immune 379 00:43:10,820 --> 00:43:16,500 system. And of course, vitamin D, you know, comes to mind immediately. Absolutely. Vitamin D plus zinc, 380 00:43:16,500 --> 00:43:24,100 a healthy living, getting outside, getting sunshine, maintaining your health in every dimension is the 381 00:43:24,100 --> 00:43:30,020 best protection you have. So I guess that's a wrap. And next week, we're going to be talking about this 382 00:43:30,020 --> 00:43:35,380 paper that Dr. Jessica Rose, we talked about earlier, along with Dr. Peter McCullough and a few others, 383 00:43:35,380 --> 00:43:41,060 published the first paper actually calling for the withdrawal of the COVID-19 genetic vaccines, 384 00:43:41,060 --> 00:43:45,940 went through extensive peer review, was published, and then mysteriously retracted. So we're going to 385 00:43:45,940 --> 00:43:52,420 look into the peer review process, something you know a lot about. Absolutely. And for our viewers out 386 00:43:52,420 --> 00:43:58,740 there, can you do me a favor? The next time you see an outrageous headline, something that just seems to 387 00:43:58,740 --> 00:44:05,380 be upside down. Put it in the social media, tag it as Fallout, and put it in the comments below here 388 00:44:05,380 --> 00:44:10,660 so that we can pull those things together for a segment next week. And we'll see you next week on Fallout. 389 00:44:28,740 --> 00:44:33,380 We'll see you next week on the next week. 390 00:44:33,380 --> 00:44:37,380 Bye. 391 00:44:37,380 --> 00:44:41,380 Bye. 392 00:44:41,380 --> 00:44:43,380 Bye. 393 00:44:43,380 --> 00:44:45,380 Bye. 394 00:44:45,380 --> 00:44:47,380 Bye. 395 00:44:47,380 --> 00:44:49,380 Bye. 396 00:44:49,380 --> 00:44:51,380 Bye. 397 00:44:51,380 --> 00:44:53,380 Bye. 398 00:44:53,380 --> 00:44:55,380 Bye. 399 00:44:55,380 --> 00:44:57,380 Bye. 400 00:44:57,380 --> 00:44:58,380 Bye.