1 00:00:10,240 --> 00:00:13,560 Hello and welcome to another UK column interview. 2 00:00:13,840 --> 00:00:18,760 My name's Debbie Evans and today I've brought my friend and 3 00:00:18,760 --> 00:00:22,200 expert back to speak to you, Cheryl Granger. 4 00:00:22,760 --> 00:00:27,360 Now the COVID enquiry has decided to postpone the module 5 00:00:27,520 --> 00:00:31,520 for the vaccine injuries until after the election. 6 00:00:32,240 --> 00:00:34,240 But we're not going to bury anything. 7 00:00:34,600 --> 00:00:38,080 We're not going to postpone talking about vaccine injuries 8 00:00:38,080 --> 00:00:41,120 and the data that Cheryl is currently seeing. 9 00:00:41,760 --> 00:00:44,680 We're going to talk about it. And I expect most of you 10 00:00:44,680 --> 00:00:49,440 watching will either know somebody, a friend of a friend 11 00:00:49,440 --> 00:00:53,040 or perhaps a member of the family, or maybe it's you that's 12 00:00:53,040 --> 00:00:55,680 suffering from an adverse reaction. 13 00:00:56,760 --> 00:01:01,720 You know, a couple of years ago I received an e-mail from Cheryl 14 00:01:02,480 --> 00:01:06,560 and she told me who she was, that she was a self-employed 15 00:01:06,560 --> 00:01:09,680 pharmaceutical trainer and she was incredibly knowledgeable 16 00:01:09,680 --> 00:01:13,480 about all things pharmaceutical, but she was very shy about 17 00:01:13,480 --> 00:01:18,360 stepping forward. And two years later, here we are 18 00:01:18,440 --> 00:01:22,440 and Cheryl is our Head of our Situation Room. 19 00:01:22,800 --> 00:01:25,400 Please go and look at that on the front page of the website. 20 00:01:25,400 --> 00:01:28,720 Mike Robinson and Cheryl have done a wonderful job putting up 21 00:01:28,720 --> 00:01:32,360 the Situation Room, which gives all the latest data and reports 22 00:01:32,720 --> 00:01:38,200 from Pfizer and now Moderna straight from the USA, with 23 00:01:38,200 --> 00:01:41,480 grateful thanks to the Daily Clout and also to Professor 24 00:01:41,480 --> 00:01:45,600 Chris Flowers. And now Cheryl's come back to 25 00:01:45,600 --> 00:01:50,480 talk to us today to give us an update on the Situation Room and 26 00:01:50,480 --> 00:01:53,040 on some more reports that have come out. 27 00:01:53,440 --> 00:01:56,760 And later on, we're going to be talking about the revolving 28 00:01:56,760 --> 00:02:02,000 doors, the corruption and the dealings with the MHRA. 29 00:02:02,040 --> 00:02:06,080 So please stay with us. But for now, Cheryl, welcome 30 00:02:06,080 --> 00:02:08,479 back and so glad to have you here. 31 00:02:09,160 --> 00:02:11,080 Thanks, Debbie. It was a pleasure to be speaking 32 00:02:11,120 --> 00:02:16,000 with you and I'm very grateful that the UK column has allowed 33 00:02:16,200 --> 00:02:21,760 all the FISA Madonna document analysis reports to be on site 34 00:02:21,760 --> 00:02:25,440 in the Situation Room. And what I wanted to do on a 35 00:02:25,440 --> 00:02:27,680 fairly regular basis is just update people. 36 00:02:27,680 --> 00:02:32,840 Just a quick look at each of the reports over the last couple of 37 00:02:32,840 --> 00:02:37,360 months so that you can see the sort of detail that is being 38 00:02:37,360 --> 00:02:39,520 discovered. And obviously, if you want more 39 00:02:39,520 --> 00:02:42,600 information, you can go on the site and access that. 40 00:02:43,280 --> 00:02:47,120 Just to point out, clinical trials in this country come 41 00:02:47,120 --> 00:02:49,400 under the Clinical Trial Research Authority, which is 42 00:02:49,400 --> 00:02:52,680 part of the MHRA. So it's the MHRA overall that 43 00:02:52,680 --> 00:02:55,280 gives a tick to a clinical trial going ahead. 44 00:02:55,720 --> 00:02:59,320 And it should actually be given a tick by the independent Ethics 45 00:02:59,320 --> 00:03:03,280 Committee as well to make sure it's not broke, breaking any 46 00:03:03,520 --> 00:03:07,800 ethical conduct. And then there's a good clinical 47 00:03:07,800 --> 00:03:11,680 practice international set of standards that it should also 48 00:03:11,720 --> 00:03:15,400 adhere to. So that as well as the 49 00:03:15,400 --> 00:03:18,320 declaration of Helsinki that the clinical trials are supposed to 50 00:03:18,320 --> 00:03:21,840 be working to shows that participants well-being takes 51 00:03:21,840 --> 00:03:25,000 precedence over the gaining of new scientific knowledge. 52 00:03:25,040 --> 00:03:29,120 Bear that in mind as we go through this because the first 53 00:03:29,120 --> 00:03:33,840 slide that I want to show you is on report 89. 54 00:03:33,840 --> 00:03:39,440 Now report 89, we discussed with Doctor Chris Flowers a few weeks 55 00:03:39,440 --> 00:03:43,760 ago, and this is basically where there was improper delays in 56 00:03:43,760 --> 00:03:48,480 reporting deaths in the vaccinated group within the FISA 57 00:03:48,480 --> 00:03:51,840 documentation. And don't forget all these 58 00:03:51,840 --> 00:03:54,000 things that we're talking about. They're people. 59 00:03:54,200 --> 00:03:57,280 They're people who volunteered for the trials and the three 60 00:03:57,280 --> 00:03:59,640 months that they were followed up for. 61 00:04:00,080 --> 00:04:05,480 And each serious adverse event is a person, and each death is a 62 00:04:05,480 --> 00:04:08,280 person. And bear that in mind when I 63 00:04:08,320 --> 00:04:14,360 tell you that in report 89 they found that Pfizer didn't report 64 00:04:14,720 --> 00:04:20,040 the 3.7 times the number of cardiovascular adverse event 65 00:04:20,040 --> 00:04:23,680 signals that they were finding. And they also delayed the 66 00:04:23,680 --> 00:04:27,040 reporting of 38 deaths. Can you imagine if that was one 67 00:04:27,040 --> 00:04:32,160 of your relatives and it was basically done because they 68 00:04:32,160 --> 00:04:36,840 wanted to get the licence, they wanted to get the EUA as soon as 69 00:04:36,840 --> 00:04:42,480 they could and obviously because they hadn't accurately reported 70 00:04:42,560 --> 00:04:48,480 the side effects and the deaths. Then the EUA was based on 71 00:04:48,480 --> 00:04:55,640 inaccurate data and on top of that it's with data related 72 00:04:55,640 --> 00:04:58,960 negligence that we're talking about that negatively impacted 73 00:04:58,960 --> 00:05:01,800 on the health of total countless people in the world. 74 00:05:02,080 --> 00:05:05,120 Just to interrupt you, for people that may be watching that 75 00:05:05,120 --> 00:05:09,040 don't know what EUA is, could you just briefly give us an 76 00:05:09,040 --> 00:05:12,120 explanation so that they can put it into context? 77 00:05:12,680 --> 00:05:16,080 Yeah, this is to hurry through a licence. 78 00:05:16,080 --> 00:05:19,840 So this is the emergency use authorisation of something that 79 00:05:19,840 --> 00:05:22,800 is deemed necessary because there's nothing else available 80 00:05:22,800 --> 00:05:27,480 to treat a particular condition in an emergency and they've 81 00:05:27,480 --> 00:05:29,320 played on that for quite some time. 82 00:05:29,560 --> 00:05:35,520 This report from the Document analysis team has now been peer 83 00:05:35,520 --> 00:05:37,440 reviewed and it's been published. 84 00:05:37,440 --> 00:05:40,040 It's in the International Journal of Vaccine Theory, 85 00:05:40,040 --> 00:05:42,640 Practice and Research. That's quite a mouthful. 86 00:05:43,280 --> 00:05:47,240 And what they've shown is that it's providing black letter 87 00:05:47,640 --> 00:05:53,000 evidence, which is direct legal proof of fraud in the trial by 88 00:05:53,000 --> 00:05:56,920 Pfizer, and that hopefully is something that can be used in 89 00:05:56,920 --> 00:05:59,760 the future. So that's 89. 90 00:05:59,760 --> 00:06:04,640 If we can move on to report 90. This is the number of COVID 91 00:06:04,640 --> 00:06:08,320 infections that started happening when people have been 92 00:06:08,680 --> 00:06:12,080 vaccinated. And there were thousands of 93 00:06:12,080 --> 00:06:17,880 cases of COVID cases that were reported in the 1st 90 days, 94 00:06:17,880 --> 00:06:23,000 which is the post marketing surveillance period, so the 1st 95 00:06:23,000 --> 00:06:28,760 90 days of vaccine rollout. They actually found that most of 96 00:06:28,760 --> 00:06:33,280 these infections as well in the vaccinated category was seen as 97 00:06:33,280 --> 00:06:38,680 serious. So COVID-19 infections, 77% of 98 00:06:38,680 --> 00:06:43,240 them were serious adverse events, serious infection. 99 00:06:43,800 --> 00:06:50,840 There were 4.4% of them who died OK and 50% of those COVID 100 00:06:51,080 --> 00:06:56,720 related adverse events began within five days after they've 101 00:06:56,720 --> 00:07:00,200 been vaccinated. So they started to appear quite 102 00:07:00,200 --> 00:07:04,680 quickly and funnily enough within this report 90, it talks 103 00:07:04,680 --> 00:07:07,320 about unknowns. So when it looks at gender, 104 00:07:08,000 --> 00:07:14,400 there were 16150 females, there were 844 males and 573 who were 105 00:07:14,400 --> 00:07:16,640 unknown. I'm not being funny. 106 00:07:16,640 --> 00:07:20,480 I'm just saying that those people, their data wasn't 107 00:07:20,480 --> 00:07:23,240 properly recorded and that is very worrying. 108 00:07:23,880 --> 00:07:28,080 And then the other thing that we need to point out is that in 109 00:07:28,080 --> 00:07:32,560 three different places the number of COVID-19 cases 110 00:07:32,560 --> 00:07:40,440 recorded was different. So it went from 19127 to 2211 to 111 00:07:40,440 --> 00:07:44,520 2391 cases. So which one is correct? 112 00:07:44,960 --> 00:07:47,960 It's it's a mismatch of information that we keep being 113 00:07:48,600 --> 00:07:52,160 given within these reports. And don't forget, this is all 114 00:07:52,160 --> 00:07:54,520 the information that the FDA analysed. 115 00:07:54,760 --> 00:07:57,640 The MHRA was supposed to have analysed the EMA. 116 00:07:57,640 --> 00:08:00,760 They would have all got the right the same information. 117 00:08:01,120 --> 00:08:06,120 And they should have noticed the things that the Pfizer and 118 00:08:06,120 --> 00:08:09,680 Moderna document analysis team are being able to find. 119 00:08:10,200 --> 00:08:12,440 Cheryl, let me get this straight. 120 00:08:13,280 --> 00:08:18,160 This report is saying that thousand, there were thousands 121 00:08:18,200 --> 00:08:22,400 of COVID cases in the 1st, 90 days after roll out. 122 00:08:22,920 --> 00:08:26,680 And of course the public were being told that a vaccine, and I 123 00:08:26,680 --> 00:08:30,400 say that in inverted commas there's a vaccine, is meant to 124 00:08:30,400 --> 00:08:33,320 prevent something. You you traditionally you would 125 00:08:33,320 --> 00:08:35,679 have a vaccine if you were going to another country and there was 126 00:08:35,679 --> 00:08:39,960 yellow fever, you would have a vaccine to prevent you from 127 00:08:40,720 --> 00:08:44,520 getting yellow fever, right. You wouldn't take a vaccine to 128 00:08:44,520 --> 00:08:47,320 prevent, you know, your colleagues or the NHS. 129 00:08:47,880 --> 00:08:51,480 So actually what we're saying in this report, am I right, is that 130 00:08:52,000 --> 00:08:55,640 we have heard from other sources that this injection was neither 131 00:08:55,640 --> 00:08:58,120 safe nor effective. But this is cast iron proof 132 00:08:58,120 --> 00:09:01,840 surely that this is not effective and never was. 133 00:09:02,240 --> 00:09:05,160 Yeah, yeah. And they had a habit of hiding 134 00:09:05,160 --> 00:09:07,800 people's information if they didn't like the results they 135 00:09:07,800 --> 00:09:10,320 were getting. So if they tested people and 136 00:09:10,320 --> 00:09:13,120 they started proving positive, whatever you think to the test, 137 00:09:14,040 --> 00:09:16,880 then they kind of disappeared. They were disappeared. 138 00:09:17,960 --> 00:09:19,680 They weren't included in the figures. 139 00:09:20,240 --> 00:09:24,120 So that meant that the unvaccinated group, the control 140 00:09:24,120 --> 00:09:27,800 group, was showing bigger figures than the vaccinated 141 00:09:27,800 --> 00:09:31,280 group. And this all tried to be 142 00:09:31,520 --> 00:09:34,880 information to help prove that it was effective when they 143 00:09:34,880 --> 00:09:38,360 hadn't included all the data. I'll add the caveat there 144 00:09:38,360 --> 00:09:42,760 because you led me into that nicely Cheryl that the tests 145 00:09:42,800 --> 00:09:45,880 just for anybody watching that might be thinking or what are 146 00:09:45,880 --> 00:09:49,040 they saying about this are that are they really saying the tests 147 00:09:49,040 --> 00:09:52,880 were both safe and effective? No, we're not saying that. 148 00:09:52,880 --> 00:09:57,840 We we know that the tests were completely unreliable and we 149 00:09:57,840 --> 00:09:59,600 should never have had those tests rolled out. 150 00:09:59,600 --> 00:10:03,240 So I just wanted to say that before people wrote in and said, 151 00:10:03,400 --> 00:10:05,400 whoa, what are your thoughts on the tests? 152 00:10:05,400 --> 00:10:09,640 But we know that the tests were neither effective and that many 153 00:10:09,640 --> 00:10:12,480 of the results that were coming back anyway were false 154 00:10:12,480 --> 00:10:14,640 positives. That's very true. 155 00:10:15,320 --> 00:10:19,240 Yeah, very true. So if we move on to Report 91, 156 00:10:19,920 --> 00:10:23,960 this is headed Moderna substitution because what has 157 00:10:23,960 --> 00:10:26,240 started to happen with this report is the Moderna 158 00:10:26,240 --> 00:10:28,080 information is now coming through. 159 00:10:28,080 --> 00:10:31,240 There's been 2 reports. This is the the second one on 160 00:10:31,240 --> 00:10:37,080 Moderna analysis. And what they did is that they 161 00:10:37,120 --> 00:10:41,840 didn't have bio distribution studies on the drug, which they 162 00:10:41,840 --> 00:10:45,040 should have before license. So what they asked was whether 163 00:10:45,040 --> 00:10:51,320 they could put in this different bio distribution study for a 164 00:10:51,320 --> 00:10:55,880 different mRNA drug, as if all mRNA drugs would be the same. 165 00:10:56,680 --> 00:11:00,160 And so this is for the cyclomegalovirus. 166 00:11:00,480 --> 00:11:05,400 And what they did is they looked at the bio distribution study in 167 00:11:05,400 --> 00:11:10,880 rats and the mRNA sequence, the genetic sequence for the 168 00:11:10,880 --> 00:11:18,560 cyclomegalovirus is actually a different size to the COVID-19 169 00:11:19,040 --> 00:11:22,360 mRNA. And that means that the fatty 170 00:11:22,360 --> 00:11:26,960 bubble, the lippy nanoparticle that you wrap the mRNA in will 171 00:11:26,960 --> 00:11:31,640 be a different size and that size will be then completely 172 00:11:32,680 --> 00:11:36,800 giving you different distribution and clearance once 173 00:11:36,800 --> 00:11:41,200 it gets within the body. So it can't be a comparative 174 00:11:41,200 --> 00:11:43,880 study, it can't be a study that's any use to anybody. 175 00:11:44,040 --> 00:11:47,960 But this is what they use for bio distribution in the Moderna 176 00:11:48,360 --> 00:11:52,120 documentation and as it states there, the substituted bio 177 00:11:52,120 --> 00:11:56,600 distribution study itself, the one they used didn't show that 178 00:11:56,600 --> 00:12:02,840 it was actually safe in the with the Cyclomegalovirus mRNA. 179 00:12:03,240 --> 00:12:04,960 So why on earth would you use this anyway? 180 00:12:06,040 --> 00:12:09,280 And the other thing was, it was a rat study, but it was only 181 00:12:09,280 --> 00:12:13,240 done on male rats. So what they showed was it was 182 00:12:13,240 --> 00:12:19,560 distributed within this study to 12 of 13 organs that they tested 183 00:12:19,560 --> 00:12:23,920 by the blood, and it got into those tissues very quickly, 184 00:12:23,920 --> 00:12:26,080 within 2 to 8 hours after injection. 185 00:12:26,400 --> 00:12:29,680 And of course, because there was no female rats included, they 186 00:12:29,680 --> 00:12:32,360 didn't even look at the female organs, because there weren't 187 00:12:32,360 --> 00:12:34,640 any. Just wanted to add, well whilst 188 00:12:34,640 --> 00:12:36,640 whilst you've been talking there, Cheryl, because I just 189 00:12:36,640 --> 00:12:40,120 wanted to just talk a little bit about Cytomegalovirus. 190 00:12:40,120 --> 00:12:43,200 So I've looked on the NHS website as you've been talking 191 00:12:43,680 --> 00:12:47,040 and what they say is that Cytomegalovirus is otherwise 192 00:12:47,040 --> 00:12:50,440 known as CMV. It doesn't usually cause any 193 00:12:50,440 --> 00:12:53,160 symptoms, and most people don't even realize they've got it. 194 00:12:53,200 --> 00:12:56,920 But when you do have symptoms of Cytomegalovirus, and they're 195 00:12:56,920 --> 00:12:59,600 like flu symptoms, so you know, you get the high temperature, 196 00:12:59,600 --> 00:13:04,120 the aches, the the whole feeling of flu, maybe feeling a bit 197 00:13:04,120 --> 00:13:06,440 sick, you could get some swollen glands. 198 00:13:06,440 --> 00:13:09,960 So some people may not even know that they've got it. 199 00:13:10,840 --> 00:13:13,760 But there are there can be complications with 200 00:13:13,760 --> 00:13:18,040 cytomegalovirus, with babies in particular. 201 00:13:18,280 --> 00:13:22,560 So for anybody wanting to have a look at Cytomegalovirus, we'll 202 00:13:22,560 --> 00:13:27,560 pop a link in the paragraph beneath this video video for you 203 00:13:27,560 --> 00:13:31,200 to go and have a look at. That's good, Debbie, that you're 204 00:13:31,200 --> 00:13:33,200 pointing that out. The thing is, it's a completely 205 00:13:33,200 --> 00:13:35,520 different thing. It's not any other type of 206 00:13:35,520 --> 00:13:37,800 coronavirus. It's a different size 207 00:13:38,160 --> 00:13:40,600 completely. And that, as I say, affects the 208 00:13:40,600 --> 00:13:43,640 lipid nanoparticle, which affects the ability to get into 209 00:13:43,640 --> 00:13:51,520 the tissue and what have you. So it was a very silly one to 210 00:13:51,520 --> 00:13:54,800 actually offer as in your defence for bio distribution, 211 00:13:55,440 --> 00:13:58,360 why would you use something that proved it wasn't safe and 212 00:13:58,400 --> 00:14:01,120 obviously had the distribution in lots of tissues? 213 00:14:01,600 --> 00:14:04,200 And if you suggest in mRNA go through all those issues, why 214 00:14:04,200 --> 00:14:06,480 did you actually keep telling everybody that it stayed in the 215 00:14:06,480 --> 00:14:11,560 arm? So again, very difficult to 216 00:14:11,560 --> 00:14:15,320 understand why they actually did that or perhaps we're allowed to 217 00:14:15,320 --> 00:14:17,240 do that without anybody questioning it. 218 00:14:17,600 --> 00:14:23,120 I've just seen on your slide, Cheryl, apologies if I'm jumping 219 00:14:23,120 --> 00:14:29,200 the gun here, but you talk about the lipid nanoparticles on on 220 00:14:29,200 --> 00:14:31,920 this particular report, Report 92. 221 00:14:32,800 --> 00:14:35,920 I didn't know if you were going to just very briefly explain the 222 00:14:35,920 --> 00:14:38,880 dangers actually of the lipid nanoparticles because we were 223 00:14:38,880 --> 00:14:41,920 always talking about mRNA. But of course, we've got to 224 00:14:41,960 --> 00:14:47,240 remember that that comes as a package with the LNPS as as 225 00:14:47,240 --> 00:14:50,640 you've put them there. Yeah, so the lipid nanoparticle 226 00:14:51,040 --> 00:14:55,200 is basically 4 fats, 4 different fats, two of which are are 227 00:14:55,200 --> 00:14:59,600 toxic. One PG is something that quite a 228 00:14:59,600 --> 00:15:04,720 lot of people have allergic reactions to, and these are 229 00:15:05,560 --> 00:15:10,360 charged ions as well, which can have effect on the balance of 230 00:15:10,360 --> 00:15:15,320 the the ionic balance within the body and can cause very many 231 00:15:15,320 --> 00:15:19,200 side effects in their own right. But because it's a fat, it can 232 00:15:19,200 --> 00:15:24,320 get through the cell membrane and that means that the mRNA, 233 00:15:24,360 --> 00:15:28,120 which wouldn't get through into the cell on its own as a carrier 234 00:15:28,120 --> 00:15:32,120 to carry it through. But there are side effects from 235 00:15:32,120 --> 00:15:35,200 the mRNA and there are side effects from the lipid 236 00:15:35,200 --> 00:15:41,520 nanoparticles which are not generally advised for humans and 237 00:15:41,520 --> 00:15:47,760 animals. So hopefully that's answered 238 00:15:47,760 --> 00:15:49,440 your question. Yeah. 239 00:15:49,440 --> 00:15:54,680 Is that all right so much. The vaccine associated enhanced 240 00:15:54,680 --> 00:15:58,600 disease comes in in report 92. That's a mouthful isn't it? 241 00:15:58,840 --> 00:16:02,120 So that's when you get a more severe clinical presentation of 242 00:16:02,120 --> 00:16:05,480 a disease than normal once you've been vaccinated against 243 00:16:05,480 --> 00:16:08,080 that disease. So hopefully that makes sense. 244 00:16:09,280 --> 00:16:14,200 And what this report did was it showed that there were hundreds 245 00:16:14,560 --> 00:16:19,160 of possible VAD. That's what it gets reduced down 246 00:16:19,160 --> 00:16:24,080 to in the first three months again after the Pfizer roll out. 247 00:16:24,560 --> 00:16:27,560 And yet whenever you heard anybody speaking about this, 248 00:16:27,680 --> 00:16:31,080 they didn't use vaccine associated enhanced disease. 249 00:16:31,280 --> 00:16:35,120 What they did was talk about breakthrough cases and that 250 00:16:35,440 --> 00:16:42,080 reduced it minimised the severity of the cases and what 251 00:16:42,080 --> 00:16:47,440 the Brighton collaboration all that is, is a list of criteria. 252 00:16:48,120 --> 00:16:56,520 It's actually is a system by which you can classify different 253 00:16:56,520 --> 00:16:58,640 bits of information. And what the Brighton 254 00:16:58,640 --> 00:17:03,400 collaboration said on Vaed is that it's difficult to separate 255 00:17:03,400 --> 00:17:06,560 vaccine failure, which are the breakthrough disease category 256 00:17:06,839 --> 00:17:10,440 from the Vaed vaccinated individuals. 257 00:17:10,440 --> 00:17:13,640 And what it suggests that all cases of vaccine failure, in 258 00:17:13,640 --> 00:17:16,800 other words when you get an infection after vaccination, 259 00:17:16,920 --> 00:17:20,640 should be investigated to see if it's this severe clinical 260 00:17:20,640 --> 00:17:25,800 presentation. Vaed and the previous report of 261 00:17:25,800 --> 00:17:32,040 the 2391 cases that were suspicious of Vaed that should 262 00:17:32,040 --> 00:17:36,240 be investigated. Pfizer in their study admits 263 00:17:36,240 --> 00:17:39,360 that only 75 were actually severe cases. 264 00:17:40,440 --> 00:17:45,240 So it covered up the fact that it didn't investigate the 265 00:17:46,040 --> 00:17:51,000 breakthrough cases just to see if they were vaccine associated 266 00:17:51,000 --> 00:17:56,760 enhanced disease. And it's now difficult to do any 267 00:17:56,760 --> 00:18:00,000 proper assessment of these cases because we've got rid of the 268 00:18:00,000 --> 00:18:02,480 control group. The control group is no more 269 00:18:02,640 --> 00:18:05,080 because they've all been offered vaccination. 270 00:18:05,360 --> 00:18:10,320 So again, things aren't quite right with all these studies and 271 00:18:10,320 --> 00:18:13,880 all this information. Before we move on to the next 272 00:18:13,880 --> 00:18:19,960 slide Cheryl, on that one where we're talking about VAED and 273 00:18:19,960 --> 00:18:22,200 you're right, it is a, it is a mouthful. 274 00:18:23,960 --> 00:18:27,280 Some people that are watching are going to be vaccine injured 275 00:18:27,280 --> 00:18:29,920 themselves or know that someone's vaccine injured. 276 00:18:30,400 --> 00:18:34,320 So what actually throws them over that because I mean many 277 00:18:34,320 --> 00:18:37,800 are saying that they've actually got a diagnosis which says that 278 00:18:38,000 --> 00:18:43,160 they are vaccine injured. Does that qualify as VAEDS? 279 00:18:43,160 --> 00:18:45,920 Does that throw them over like a a threshold? 280 00:18:45,920 --> 00:18:50,000 Does that open a door for them? Well, yes, it does do. 281 00:18:50,200 --> 00:18:54,560 I mean it's like you're vaccine induced thrombolytic 282 00:18:54,800 --> 00:18:57,320 thrombocytopenia, it's vaccine induced. 283 00:18:57,320 --> 00:19:03,120 So if the name actually leads it back to what's caused it, then 284 00:19:03,120 --> 00:19:06,680 you know it is the vaccine that has caused it. 285 00:19:06,680 --> 00:19:12,280 And yes, that gives them more of a case for reporting the fact 286 00:19:12,640 --> 00:19:15,960 that they have been injured by what they've been asked to take. 287 00:19:18,840 --> 00:19:24,520 So we now need to move on to the 93rd. 288 00:19:24,520 --> 00:19:27,000 I'm up to, aren't I? Yes, there are 94, so we've only 289 00:19:27,000 --> 00:19:29,160 got two more to go. So hopefully I'll get through 290 00:19:29,160 --> 00:19:32,440 these as quickly as we can. As I say, I just wanted you to 291 00:19:32,440 --> 00:19:37,000 be aware of the type of data that has forensically been 292 00:19:37,000 --> 00:19:39,800 analysed so that you can see how poor it was. 293 00:19:40,800 --> 00:19:45,880 So 93 is looking at concealed data as well as manipulated data 294 00:19:46,360 --> 00:19:48,880 and this again is the post marketing surveillance. 295 00:19:48,880 --> 00:19:52,600 So this is the first 90 days after the vaccine was rolled out 296 00:19:52,880 --> 00:19:56,680 and it shows that Pfizer manipulated data and wrongly 297 00:19:56,680 --> 00:20:00,480 tabulated adverse events and that can lead to them being 298 00:20:00,480 --> 00:20:04,080 concealed. So what you have from the 299 00:20:04,360 --> 00:20:07,320 Brighton collaboration that we mentioned before where they put 300 00:20:07,320 --> 00:20:12,800 all the side effects into classes, into groups so that 301 00:20:12,800 --> 00:20:15,280 it's easier to handle the mammoth number that they had, 302 00:20:15,800 --> 00:20:18,920 you put them into system organ classes, which again gets 303 00:20:18,920 --> 00:20:21,520 abbreviated because everything does into SO CS. 304 00:20:22,440 --> 00:20:25,800 And what Pfizer did was it played miss assignment games, so 305 00:20:25,800 --> 00:20:30,080 it concealed data. It had unexplained causes of 306 00:20:30,080 --> 00:20:32,960 death, so that didn't fit into any category. 307 00:20:32,960 --> 00:20:38,680 It had discrepancies of counting adverse events and discrepancies 308 00:20:38,680 --> 00:20:42,000 of assigning adverse events to inappropriate groups. 309 00:20:42,480 --> 00:20:45,160 And I'd just like to give you a few examples of that because I 310 00:20:45,160 --> 00:20:48,360 think it's stunning. I think it's very interesting as 311 00:20:48,360 --> 00:20:52,960 to how bad this got. So with the hematological, with 312 00:20:52,960 --> 00:21:00,600 the blood per organ category, they omitted 192 adverse events 313 00:21:01,440 --> 00:21:04,840 and that meant that you know where any of those deaths, but 314 00:21:04,840 --> 00:21:08,400 there were things that were definitely blood disorders that 315 00:21:08,400 --> 00:21:10,480 weren't included that they found. 316 00:21:11,280 --> 00:21:15,600 When we come to the stroke category, they found a buried 317 00:21:15,600 --> 00:21:20,240 case of post vaccination stroke in a 7 year old girl, but that 318 00:21:20,240 --> 00:21:23,760 wasn't deemed worthwhile as to be included and be reported. 319 00:21:24,480 --> 00:21:31,280 There were 300 side effects listed, sorry, 2300 side effects 320 00:21:31,280 --> 00:21:36,560 found but only 292 were listed. So everything they did dilutes 321 00:21:36,560 --> 00:21:39,080 the signal, in this case the stroke signal that they're 322 00:21:39,080 --> 00:21:42,680 actually showing. And then there were 25 cases of 323 00:21:42,680 --> 00:21:47,200 myocarditis and 32 cases of pericarditis that instead of 324 00:21:47,200 --> 00:21:50,120 being in the cardiac cardiovascular group which you'd 325 00:21:50,120 --> 00:21:53,880 expect them to be in, they were actually in the immune mediated 326 00:21:53,880 --> 00:21:57,640 autoimmune category. So they didn't come under the 327 00:21:58,400 --> 00:22:01,320 cardiovascular problematic cases. 328 00:22:02,160 --> 00:22:05,880 And then neurological diagnosis, which we know is a very big 329 00:22:05,880 --> 00:22:13,680 class and they had 12125 cases that they split up into three 330 00:22:13,680 --> 00:22:18,160 different categories, so 41%. So the largest group were 331 00:22:18,160 --> 00:22:22,440 neurological, listed as neurological, but 37% went into 332 00:22:22,440 --> 00:22:25,880 facial paralysis and 22% were put into stroke. 333 00:22:26,400 --> 00:22:32,520 So that diluted the neurological category of diagnosis. 334 00:22:34,200 --> 00:22:38,880 Very surprisingly, there was no gastrointestinal category. 335 00:22:39,920 --> 00:22:46,080 So there was about 6000 side effects within that GI category 336 00:22:46,080 --> 00:22:48,320 that you could have put into that GI category that weren't 337 00:22:48,320 --> 00:22:51,800 listed. But there are only 70 cases that 338 00:22:51,800 --> 00:22:58,280 got into a hepatic, so into the liver category and that only 339 00:22:58,280 --> 00:23:00,880 contained within that Category 1 diagnosis. 340 00:23:00,880 --> 00:23:03,840 And that was for a liver injury of which there were 70 cases 341 00:23:03,840 --> 00:23:08,040 reported, but the rest of them weren't included because there 342 00:23:08,040 --> 00:23:12,400 was no category to put them in. And then we've got the 343 00:23:12,400 --> 00:23:14,560 hematological. So going back to the blood 344 00:23:14,560 --> 00:23:18,200 category again, that also contained the gynaecological 345 00:23:18,200 --> 00:23:21,520 bleeding disorders. So you probably have heard that 346 00:23:21,520 --> 00:23:24,280 there's been quite a lot of menstrual bleeding problems 347 00:23:24,280 --> 00:23:27,600 throughout the whole of this period of vaccination. 348 00:23:28,680 --> 00:23:31,600 Pfizer didn't create a gynaecological and reproductive 349 00:23:32,120 --> 00:23:34,760 category. Why would they not do that? 350 00:23:36,040 --> 00:23:39,200 So these things were hidden in the wrong category. 351 00:23:40,080 --> 00:23:46,040 And also fatalities that were listed varied from 726 depending 352 00:23:46,040 --> 00:23:50,160 where you looked to 100 and 1223. 353 00:23:50,480 --> 00:23:54,400 So they lost 497 deaths. How would you feel if that was 354 00:23:54,400 --> 00:23:57,440 one of your relatives? I've just got to come in. 355 00:23:57,440 --> 00:24:00,480 I mean, I'm just listening to you and my jaw is dropping 356 00:24:00,480 --> 00:24:03,800 because I'm going right back to the beginning of our interview 357 00:24:03,800 --> 00:24:07,520 where you very poignantly, incorrectly said each one of 358 00:24:07,520 --> 00:24:12,400 these statistics is a person, is a loved one, is somebody's 359 00:24:12,400 --> 00:24:19,320 relative, and according to this report, they've never existed. 360 00:24:19,320 --> 00:24:22,400 They've disappeared, they've vanished, They've literally 361 00:24:23,160 --> 00:24:25,920 vanished off the system. Is that right? 362 00:24:26,680 --> 00:24:29,880 Yes. So if you go to the Madonna 363 00:24:29,960 --> 00:24:33,640 information that they've just got on top of that they got the 364 00:24:34,360 --> 00:24:36,600 Pfizer for the 12 to 15 year old group. 365 00:24:37,200 --> 00:24:40,640 And I don't know whether you've ever come across Maddy de Gary 366 00:24:41,120 --> 00:24:44,680 who was I think a 13 year old when she and her family that 367 00:24:44,680 --> 00:24:46,960 they volunteered to go into the clinical trial. 368 00:24:47,240 --> 00:24:49,800 And I remember seeing a video of her doing cartwheels down the 369 00:24:49,800 --> 00:24:52,760 driveway. She was very active girl and 370 00:24:53,320 --> 00:24:58,480 after straight after she had the vaccination, she had terrible 371 00:24:59,440 --> 00:25:02,840 movement problems, she had gastric problems and she now has 372 00:25:02,840 --> 00:25:08,000 a permanent gastric tube and she is in a wheelchair and she's 373 00:25:08,000 --> 00:25:11,720 very unwell and it was her parents who were part of the 374 00:25:11,720 --> 00:25:16,120 case to get that data. So at least they've been able to 375 00:25:16,600 --> 00:25:20,680 help with that, although for a very terrible reason that their 376 00:25:20,680 --> 00:25:22,280 daughter is very severely injured. 377 00:25:22,520 --> 00:25:25,600 But they as soon as she got the injury, which is very close to 378 00:25:25,600 --> 00:25:29,560 the vaccination, they phoned up, as you would do to report it, to 379 00:25:29,560 --> 00:25:33,600 actually get some help, to actually tell the the people who 380 00:25:33,600 --> 00:25:37,200 are running the trial to see what they should do next. 381 00:25:37,320 --> 00:25:40,560 And she was dropped, she was dropped and it wasn't 382 00:25:40,560 --> 00:25:45,440 recognised. So she will probably be one of 383 00:25:45,440 --> 00:25:50,720 the gastro people, gastro category of side effects that 384 00:25:50,720 --> 00:25:53,120 wasn't included. Sorry I got off. 385 00:25:53,120 --> 00:25:57,040 It's a tangent there, but it's just a terrible story that 386 00:25:57,040 --> 00:25:59,240 illustrates the what's been happening. 387 00:25:59,480 --> 00:26:01,880 And that's the reason. I know it seems deadly boring to 388 00:26:01,880 --> 00:26:05,800 go through all these reports, but there's some facts that 389 00:26:05,800 --> 00:26:10,360 people should know it it has been very badly done. 390 00:26:10,880 --> 00:26:15,480 And I can only say thank you to you, Cheryl Fir, because I need 391 00:26:15,480 --> 00:26:19,960 to remind people before we go on to the the final report, I need 392 00:26:19,960 --> 00:26:24,200 to remind people that Cheryl does all of this for nothing and 393 00:26:24,200 --> 00:26:27,120 she works. I can't begin to tell you how 394 00:26:27,120 --> 00:26:32,680 many hours liaising and getting the information to bring it to 395 00:26:32,680 --> 00:26:35,800 you. So I mean, huge thanks Cheryl, 396 00:26:35,800 --> 00:26:39,520 really, because I know, I mean we have hours and hours on the 397 00:26:39,520 --> 00:26:42,440 phone behind the scenes just letting you all into a secret. 398 00:26:42,440 --> 00:26:45,920 We do speak for hours on the phone and we're constantly 399 00:26:45,920 --> 00:26:50,040 brainstorming and Cheryl works so hard. 400 00:26:50,040 --> 00:26:54,000 So thank you for bringing this to us because you're right, we 401 00:26:54,000 --> 00:26:56,920 need to know and they are hard facts and some of them are going 402 00:26:56,920 --> 00:27:00,320 to be very hard for the vaccine injured to hear. 403 00:27:00,320 --> 00:27:04,760 And I get that and I appreciate that and I thank you for 404 00:27:04,760 --> 00:27:07,480 listening. And I'd ask people to share this 405 00:27:07,480 --> 00:27:12,040 information because although it is stark and it's hard to hear, 406 00:27:12,520 --> 00:27:16,240 it needs to be heard. So with that said, Cheryl, do 407 00:27:16,240 --> 00:27:19,680 you want to take us on to, I think it's report 94 we're on 408 00:27:19,680 --> 00:27:21,440 now. Yeah. 409 00:27:21,960 --> 00:27:24,000 So I mean, I only checked the other day. 410 00:27:24,000 --> 00:27:27,240 This is the last report that's up on the Daily Cloud site at 411 00:27:27,240 --> 00:27:31,520 the moment and obviously has been included in the UK column, 412 00:27:31,720 --> 00:27:36,640 Situation Room listing. But this last one is to do with 413 00:27:36,640 --> 00:27:39,480 heart damage in the 5 to 15 year olds. 414 00:27:39,480 --> 00:27:42,880 Think about that, that's 5 to 15 year olds with heart damage. 415 00:27:43,280 --> 00:27:47,280 And what the data showed was that Pfizer secretly studied 416 00:27:47,280 --> 00:27:51,640 heart damage and they did this by looking at troponin one. 417 00:27:51,960 --> 00:27:55,000 And troponin is something that gets released into the blood 418 00:27:55,000 --> 00:27:57,160 when there's been damage to the heart tissue. 419 00:27:58,160 --> 00:28:02,800 And they looked at this in 5 to 15 year olds that had had the 420 00:28:02,960 --> 00:28:09,200 COVID-19 vaccination in 2021. And the they did this because 421 00:28:09,200 --> 00:28:14,080 the Israeli Ministry of Health, they'd alerted the CDC in the 422 00:28:14,080 --> 00:28:17,760 States to a myocardial safety signal. 423 00:28:17,800 --> 00:28:22,480 So they were saying myocarditis is actually happening and by 424 00:28:22,480 --> 00:28:26,720 April 2021 after the second dose, they got 35 cases of 425 00:28:26,720 --> 00:28:30,480 myocarditis in children and heart problems were developing 426 00:28:30,480 --> 00:28:34,520 in males under the age of 30. So they actually flagged this up 427 00:28:35,600 --> 00:28:41,040 and by May 2021, they were seeing these troponin levels 428 00:28:41,240 --> 00:28:43,880 showing myocarditis in teens and young adults. 429 00:28:45,440 --> 00:28:48,400 So definitely with all the reports that came through, by 430 00:28:48,400 --> 00:28:53,760 April 2022, Pfizer and the FDA were aware of the myocarditis 431 00:28:54,480 --> 00:28:59,640 because doctor Arnie Burkhart who was a wonderful pathologist 432 00:28:59,640 --> 00:29:05,600 who unfortunately died. I can't exactly remember when 433 00:29:05,600 --> 00:29:10,160 now, but it wasn't too long ago, which was very sad because he 434 00:29:10,160 --> 00:29:15,840 done a lot of autopsies to find out what had happened to these 435 00:29:15,840 --> 00:29:20,920 poor people who'd been died after the vaccine, and he'd 436 00:29:20,920 --> 00:29:26,360 found spoke protein in the myocardium of people who died 437 00:29:26,840 --> 00:29:32,600 when he did autopsies. So the thing that has been 438 00:29:33,800 --> 00:29:37,800 raised and got Naomi Wolf very excited when she she talked 439 00:29:37,800 --> 00:29:42,720 about this was that they had a Freedom of Information done by 440 00:29:42,720 --> 00:29:46,120 Ed Berkovich. So as well as having 3250 441 00:29:46,360 --> 00:29:48,920 analysts looking at all this data, doing this forensic 442 00:29:48,920 --> 00:29:53,280 analysis, they've got 250 lawyers on the case as well and 443 00:29:53,280 --> 00:29:58,000 he's one of the lawyers. And on the 23rd of May 2021, his 444 00:29:58,040 --> 00:30:01,360 FOI was answered. And at the back of it they got 445 00:30:01,360 --> 00:30:06,120 42 pages that somebody had put there that I don't know whether 446 00:30:06,120 --> 00:30:08,640 it'd been put there on purpose or by accident, but they were 447 00:30:08,640 --> 00:30:12,760 heavily redacted emails that had been added to the answer that 448 00:30:12,760 --> 00:30:18,000 had been sent to this FOI. And what it showed was that most 449 00:30:18,000 --> 00:30:21,560 senior leaders all the way up to the White House knew about heart 450 00:30:21,560 --> 00:30:26,840 damage linked to the MAMRNA vaccines, yet they colluded 451 00:30:26,840 --> 00:30:29,800 behind the scenes to conceal the side effect from the American 452 00:30:29,800 --> 00:30:32,560 people. So the the e-mail showed the 453 00:30:32,560 --> 00:30:36,360 panic, the meetings that were held, the emails going back and 454 00:30:36,360 --> 00:30:39,880 forth to work out what they were going to say about this 455 00:30:39,880 --> 00:30:44,240 myocarditis that was being seen. And so the public health 456 00:30:44,240 --> 00:30:47,240 announcement was that myocarditis might result from 457 00:30:47,240 --> 00:30:50,080 COVID-19 infection. And what do you advise? 458 00:30:50,360 --> 00:30:53,640 You actually push for more COVID vaccinations because of the 459 00:30:53,640 --> 00:30:58,160 infection risk. And it was right the way up to 460 00:30:58,200 --> 00:31:01,840 the the White House. And that's the thing that's 461 00:31:01,840 --> 00:31:05,200 quite telling. Couple of things there. 462 00:31:05,200 --> 00:31:09,840 I mean it's hindsight, isn't it all makes sense now. 463 00:31:09,920 --> 00:31:14,400 But I think for people that don't know myocarditis unless 464 00:31:14,400 --> 00:31:17,320 it's diagnosed, if somebody doesn't know that they have 465 00:31:17,320 --> 00:31:20,800 myocarditis and they might think that a quick jog around the 466 00:31:20,800 --> 00:31:23,680 block or some exercise might do them some good. 467 00:31:23,680 --> 00:31:26,600 Actually that's the worst thing that anybody can do with 468 00:31:26,600 --> 00:31:30,800 myocarditis. And the advice is always to 469 00:31:30,800 --> 00:31:34,640 rest. So it's always concerning when 470 00:31:34,640 --> 00:31:38,040 people are, we're hearing of people going into hospitals and 471 00:31:38,040 --> 00:31:41,920 they're complaining that they've got issues with their heart, 472 00:31:41,920 --> 00:31:44,000 that they believe it's their heart, They've got a racing 473 00:31:44,000 --> 00:31:47,640 heart, they feel palpitations, they're feeling faint, all sorts 474 00:31:47,640 --> 00:31:51,440 of different symptoms. And yet people are just being 475 00:31:51,440 --> 00:31:54,440 fobbed off. So many are going undiagnosed. 476 00:31:54,840 --> 00:31:58,720 And the myocardium, the mark that the heart, we must remember 477 00:31:58,720 --> 00:32:02,680 that the heart is a pump, That's what it is and it makes this 478 00:32:02,680 --> 00:32:06,240 sound, we all know it. The lubbed up, the lubbed up as 479 00:32:06,240 --> 00:32:12,640 it's contracting like a pump. And the myocardium is the middle 480 00:32:12,640 --> 00:32:16,240 muscular layer of the heart. So that's what really sort of 481 00:32:16,240 --> 00:32:18,520 makes it have that pumping action. 482 00:32:19,000 --> 00:32:24,600 So if that becomes inflamed, if that becomes damaged, then you 483 00:32:24,600 --> 00:32:28,400 know, there are serious consequences and people will 484 00:32:28,400 --> 00:32:30,440 say, oh, you know, heart attacks. 485 00:32:30,760 --> 00:32:34,120 And the medical term for a heart attack is a myocardial 486 00:32:34,120 --> 00:32:38,960 infarction, which means a death of part of the myocardium, the 487 00:32:38,960 --> 00:32:41,440 middle muscle layer of the heart. 488 00:32:41,880 --> 00:32:47,600 And you know, I've spoken to many cardiac nurses and they've 489 00:32:47,600 --> 00:32:52,200 said to me they very rarely see a young person on their wards, 490 00:32:52,200 --> 00:32:56,360 on their cardiac wards. And if you do see a young 491 00:32:56,360 --> 00:33:02,400 person, it's extremely rare. However, now it seems it's 492 00:33:02,400 --> 00:33:05,840 become almost normalised and that we're seeing more and more 493 00:33:05,840 --> 00:33:09,840 youngsters on cardiac wards, which is not where they should 494 00:33:09,840 --> 00:33:12,560 be. So the fact that this is 495 00:33:12,560 --> 00:33:16,200 happening, happening with young people and children is extremely 496 00:33:16,200 --> 00:33:19,120 worrying. And as Report 94 says, it all, 497 00:33:19,120 --> 00:33:22,920 doesn't it really? I mean, everything's been hidden 498 00:33:23,360 --> 00:33:25,480 in plain sight, pretty much, Cheryl. 499 00:33:26,160 --> 00:33:29,120 Once you've damaged it, once you've had inflammation and it's 500 00:33:29,120 --> 00:33:33,000 changed the tissue, you've got no stem cells in your heart. 501 00:33:33,120 --> 00:33:35,680 That's it. Your tissue will not repair 502 00:33:35,680 --> 00:33:39,640 itself. And if you listen to eminent 503 00:33:39,640 --> 00:33:44,000 cardiologists like Doctor Peter McCullough, he will say that in 504 00:33:44,000 --> 00:33:47,200 his career he's probably only seen two or three cases of 505 00:33:47,200 --> 00:33:51,080 myocarditis and he's been practising for quite some time. 506 00:33:51,560 --> 00:33:57,520 And in America there was 2200 to 400 cases in a year recorded. 507 00:33:58,000 --> 00:34:03,000 So that is now been replaced by thousands of people, especially 508 00:34:03,000 --> 00:34:06,200 younger people, especially people who are athletic. 509 00:34:06,760 --> 00:34:09,719 And that's good that you did that warning about not doing 510 00:34:09,719 --> 00:34:14,239 exercise if this is diagnosed. But of course you've got people 511 00:34:14,239 --> 00:34:17,159 who are athletic and they're wanting to get on with life, are 512 00:34:17,159 --> 00:34:19,920 full of life, and this has stopped them in their tracks. 513 00:34:20,600 --> 00:34:25,280 And those who had wanted careers that are linked to athletics 514 00:34:25,280 --> 00:34:28,639 can't do it anymore. And it's a very sad situation to 515 00:34:28,639 --> 00:34:30,480 find yourself in at such a young age. 516 00:34:30,920 --> 00:34:35,040 It's absolutely tragic and as most people will maybe remember 517 00:34:35,040 --> 00:34:40,880 that we did interview Matt Leticia because he's always been 518 00:34:40,880 --> 00:34:44,679 championing the cause for he's never seen so many athletes, 519 00:34:44,679 --> 00:34:49,480 footballers, well from all all areas of sport, literally 520 00:34:49,480 --> 00:34:54,320 collapsing and dying and the list is growing and growing and 521 00:34:54,320 --> 00:34:56,760 growing and more and more young people. 522 00:34:57,160 --> 00:35:01,240 So yeah, it's but I can't, I can't even. 523 00:35:01,640 --> 00:35:04,800 It's wicked and Cheryl, it's just absolutely wicked and we 524 00:35:04,800 --> 00:35:08,080 need to be talking about it. Is there anything else you want 525 00:35:08,080 --> 00:35:12,800 to tell us with regards to these reports or any more that might 526 00:35:12,800 --> 00:35:14,760 be coming up? I know the Moderna documents 527 00:35:14,760 --> 00:35:17,120 have been released, but I know there are millions of pages and 528 00:35:17,120 --> 00:35:19,520 it's going to take ages to analyse. 529 00:35:19,520 --> 00:35:22,560 But is there anything else that you wanted to update us perhaps 530 00:35:22,560 --> 00:35:26,720 before we go on to the MHRA and looking at the revolving doors 531 00:35:26,720 --> 00:35:29,520 and and everything else, is there anything you want to say 532 00:35:29,520 --> 00:35:32,800 about any reports or what's going on in the Situation Room 533 00:35:33,120 --> 00:35:36,880 or the daily clout before we move on? 534 00:35:37,280 --> 00:35:39,120 No, I think everybody's up to date. 535 00:35:39,960 --> 00:35:42,040 The Situation Room is up to date. 536 00:35:42,040 --> 00:35:45,480 But the thing that I think is good about the Situation Room is 537 00:35:45,680 --> 00:35:48,680 like, I've got the title at the top of each of these slides. 538 00:35:48,920 --> 00:35:52,120 It takes that title. It takes the subject matter for 539 00:35:52,120 --> 00:35:55,760 each of the ports and lists It's all 94 listed in a long column 540 00:35:56,240 --> 00:35:58,680 and you can click on each one that you're interested in. 541 00:35:58,680 --> 00:36:01,320 So if you're for example interested in anything to do 542 00:36:01,320 --> 00:36:03,640 with pregnancy, then you can pick out. 543 00:36:03,640 --> 00:36:06,800 There's about 5 reports that look at pregnancy and you can 544 00:36:06,800 --> 00:36:09,280 click on those reports quite easily because you can see what 545 00:36:09,280 --> 00:36:11,560 the subject matter is. So it's very easy to find your 546 00:36:11,560 --> 00:36:13,560 way to the information that you want. 547 00:36:13,760 --> 00:36:16,080 And then if you want the full report, you go through to daily 548 00:36:16,080 --> 00:36:21,680 clout back via a link and we're going to add in the control 549 00:36:21,680 --> 00:36:25,120 group information that will allow people to do their health 550 00:36:25,120 --> 00:36:29,640 records and get a health card. And on top of that, we're going 551 00:36:29,640 --> 00:36:33,040 to start putting on some information about things you can 552 00:36:33,040 --> 00:36:36,440 do to help yourself. But I think my main message is 553 00:36:36,880 --> 00:36:40,280 this is ongoing and it's ongoing because people have kept having 554 00:36:40,280 --> 00:36:45,680 vaccinations and the thing to do is not have any more of these 555 00:36:45,680 --> 00:36:48,200 vaccinations. It's a cumulative effect. 556 00:36:48,600 --> 00:36:50,520 Don't have any more. Just say no. 557 00:36:51,520 --> 00:36:53,920 Yeah. And I think it's just say no on 558 00:36:53,920 --> 00:36:57,480 all vaccinations, isn't it and all, I mean we've got so many 559 00:36:57,520 --> 00:37:01,720 mRNA products coming down the pipeline, Cheryl. 560 00:37:01,720 --> 00:37:04,360 I mean you've told us about hundreds coming down through the 561 00:37:04,360 --> 00:37:08,280 Moderna pipeline for example. So everyone's got to keep their 562 00:37:08,320 --> 00:37:11,960 ears and eyes open. But I think also, you know 563 00:37:12,240 --> 00:37:14,880 another time we'll talk antivirals and monoclonal 564 00:37:14,880 --> 00:37:18,200 antibodies because that's a whole new subject, which 565 00:37:18,200 --> 00:37:25,120 actually does segue us nicely into the second part of our chat 566 00:37:25,120 --> 00:37:27,840 today. And I'm going to introduce you 567 00:37:27,840 --> 00:37:32,000 to a little bit of video now just to just to get everybody in 568 00:37:32,000 --> 00:37:34,880 into the mood for what we're going to be talking about next. 569 00:37:34,880 --> 00:37:39,360 So this is Doctor Peter Gutcher, and I'll allow him to introduce 570 00:37:39,360 --> 00:37:44,960 himself, But please bear in mind that this video was filmed eight 571 00:37:44,960 --> 00:37:50,760 years ago, so before mRNA, before all these new genomic and 572 00:37:50,760 --> 00:37:53,920 biological drugs that we're seeing coming down the pipeline. 573 00:37:54,280 --> 00:37:58,520 So let's have a look at what Doctor Peter Gutcher said eight 574 00:37:58,520 --> 00:38:02,480 years ago about the Pharmaceutical industry. 575 00:38:04,000 --> 00:38:06,760 My name is Peter Gutcher. I'm a director of the Nordic 576 00:38:06,760 --> 00:38:11,000 Cochran Centre in Copenhagen and professor of research, design 577 00:38:11,000 --> 00:38:13,560 and analysis at the University of Copenhagen. 578 00:38:14,040 --> 00:38:17,720 Two years ago, I found out that our prescription drugs are the 579 00:38:17,720 --> 00:38:21,840 third leading cause of death after heart disease and cancer. 580 00:38:23,360 --> 00:38:27,760 Our drugs kill around 200,000 people in America every year, 581 00:38:29,000 --> 00:38:34,080 and half of these people die while they do what their doctors 582 00:38:34,080 --> 00:38:36,640 told them. So they die because of the side 583 00:38:36,640 --> 00:38:39,200 effects. The other half die because of 584 00:38:39,200 --> 00:38:42,200 errors. And it's often the doctors that 585 00:38:42,200 --> 00:38:47,040 make the errors because any drug may come with 2030 or 40 586 00:38:47,040 --> 00:38:50,120 warnings, contraindications, precautions, and so on. 587 00:38:50,800 --> 00:38:53,680 No doctor in the world knows about all this. 588 00:38:54,800 --> 00:38:59,160 So they give patients drugs that they should not have given them, 589 00:38:59,160 --> 00:39:02,800 that interact dangerously with other drugs or food items or so 590 00:39:02,800 --> 00:39:06,360 on, and then the patients die. That's the other half. 591 00:39:07,320 --> 00:39:12,600 So the other thing I found out two years ago was that much of 592 00:39:12,600 --> 00:39:16,320 what the drug industry does fulfils the criteria for 593 00:39:16,320 --> 00:39:21,000 organized crime in U.S. law. And they behave in many ways 594 00:39:21,000 --> 00:39:25,040 like the mafia does. They corrupt everyone they can 595 00:39:25,040 --> 00:39:27,200 corrupt. They have bought every type of 596 00:39:27,200 --> 00:39:31,720 person, even including ministers of health in some countries. 597 00:39:32,400 --> 00:39:34,880 So there is a huge amount of corruption. 598 00:39:35,560 --> 00:39:38,200 Well, I mean, what more can I say? 599 00:39:38,200 --> 00:39:44,960 Organised crime, the mafia. Cheryl, you've got some pretty 600 00:39:44,960 --> 00:39:48,920 scary statistics, haven't you? Which will take us nicely into 601 00:39:48,920 --> 00:39:54,800 talking about the MHRA, because are we looking at the MHRA as 602 00:39:54,800 --> 00:39:57,160 being part of an organised crime circle? 603 00:39:57,160 --> 00:40:01,600 Are we looking at the Pharmaceutical industry now 604 00:40:01,960 --> 00:40:05,840 being the mafia? I think perhaps your statistics 605 00:40:05,840 --> 00:40:09,640 might give people cause for concern, shall we say. 606 00:40:10,440 --> 00:40:13,280 Yeah. If we can move to the the next 607 00:40:13,280 --> 00:40:16,680 slide, please. So that's what I've headed it 608 00:40:16,680 --> 00:40:20,040 exposing the MHRA. What you've got to think about 609 00:40:20,080 --> 00:40:25,160 is how much information they were supposed to look through in 610 00:40:25,320 --> 00:40:29,440 a short space of time to get. We didn't have an EUA, we had a 611 00:40:29,440 --> 00:40:35,240 conditional licence given to these products which was the 612 00:40:35,240 --> 00:40:38,280 equivalent of an emergency use authorisation. 613 00:40:39,040 --> 00:40:44,000 So we've got the Pfizer data that we've just kind of been 614 00:40:44,000 --> 00:40:49,240 going through with. The analysis is 451,000 pages. 615 00:40:49,760 --> 00:40:57,040 The Moderna data with the Pfizer to 15 year old data, the 12 to 616 00:40:57,040 --> 00:41:00,200 15 year old data is 4.8 million pages. 617 00:41:00,640 --> 00:41:04,400 So just think about that, that's a lot of, a lot of reading to be 618 00:41:04,400 --> 00:41:07,480 done. And I've given you there the 619 00:41:07,480 --> 00:41:13,400 three vaccines for COVID-19 when the data was submitted to the 620 00:41:13,440 --> 00:41:19,240 MHRA and when it was approved. So it could actually be used and 621 00:41:19,240 --> 00:41:22,600 it meant with AstraZeneca they took about three months to 622 00:41:22,600 --> 00:41:27,880 review it, with Pfizer they took about two months and with 623 00:41:27,880 --> 00:41:31,000 Moderna it was just a little over two months that they took 624 00:41:31,080 --> 00:41:34,640 before the licences were were given the licence to be able to 625 00:41:34,640 --> 00:41:39,040 use the the product. But of course that wasn't three 626 00:41:39,040 --> 00:41:40,680 months plus two months plus two months. 627 00:41:40,680 --> 00:41:44,080 It was actually all done roughly at the same time as you can see 628 00:41:44,080 --> 00:41:46,320 from the dates on the on the slide. 629 00:41:47,040 --> 00:41:51,880 And what we have to remember is that they would have been given 630 00:41:51,880 --> 00:41:56,320 this amount of data within the MHRA. 631 00:41:57,520 --> 00:42:02,760 And when we look at the amount of people it's taken to analyse 632 00:42:02,920 --> 00:42:08,120 this amount of data that was achieved in the states through a 633 00:42:08,120 --> 00:42:14,080 Freedom of Information. We've got 3250 researchers that 634 00:42:14,080 --> 00:42:18,240 have analysed these 451,000 pages and they've been doing 635 00:42:18,240 --> 00:42:23,320 that since March 2022. So that's how much time it's 636 00:42:23,320 --> 00:42:26,680 taken them to actually look at this data. 637 00:42:27,880 --> 00:42:35,160 If you look at the MHRA, the MHRA in 2019-2020 had about 638 00:42:35,160 --> 00:42:40,000 13124 staff, but not all of those people will be analysts 639 00:42:40,000 --> 00:42:42,760 and I haven't found out how many of them were working on 640 00:42:42,960 --> 00:42:45,920 analysing the data that was coming through, but that's how 641 00:42:45,920 --> 00:42:48,560 many they had. I mean, in comparison, the FDA 642 00:42:49,320 --> 00:42:51,880 who increased their staff when they saw the amount of side 643 00:42:51,880 --> 00:42:55,560 effects that were coming through at 18,000 staff and they have a 644 00:42:55,560 --> 00:43:00,760 budget of $6 billion. So that's how they stack up in 645 00:43:00,760 --> 00:43:04,880 terms of numbers. But the MHRA in every board 646 00:43:04,880 --> 00:43:07,520 meeting Debbie and I have listened to have been moaning 647 00:43:07,520 --> 00:43:09,840 about them being down on staff numbers. 648 00:43:11,040 --> 00:43:15,560 And when this was all going on, when they were given all this 649 00:43:15,560 --> 00:43:18,440 information, don't forget we were in lockdown. 650 00:43:19,240 --> 00:43:24,600 And there is information from one of the board meetings that 651 00:43:24,600 --> 00:43:28,960 talked about the majority of staff working at home and they 652 00:43:28,960 --> 00:43:32,840 didn't return to work until May 2021, which is when they tried 653 00:43:32,840 --> 00:43:37,080 to encourage them to come back. So the majority of staff were at 654 00:43:37,080 --> 00:43:40,760 home. They were 20% down on staff 655 00:43:42,160 --> 00:43:45,520 about this time and the people that they said in the board 656 00:43:45,520 --> 00:43:47,920 meetings, the people they said they were recruiting, were 657 00:43:47,920 --> 00:43:49,600 inexperienced. They had to train them up. 658 00:43:51,080 --> 00:43:54,280 So how effective was the analysis that they were doing? 659 00:43:54,720 --> 00:43:58,760 And in one of my my Freedom of Information to try and get the 660 00:43:58,760 --> 00:44:02,280 AstraZeneca data, when I actually had an internal review 661 00:44:02,280 --> 00:44:07,120 done, one of the comments that they made was it all be so 662 00:44:07,120 --> 00:44:10,680 difficult to get the information out because when they was using 663 00:44:10,680 --> 00:44:12,800 all this information, the computers kept crashing. 664 00:44:14,120 --> 00:44:19,280 It hasn't happened with the American researchers who, not 665 00:44:19,280 --> 00:44:25,360 just American, but these 3250 Pfizer Moderna analysis 666 00:44:25,360 --> 00:44:28,920 researchers. They've developed designed new 667 00:44:28,960 --> 00:44:32,000 programmes to be able to cope with the amount of data and the 668 00:44:32,000 --> 00:44:34,680 way that it has been given to them, Which has been a bit odd, 669 00:44:35,440 --> 00:44:37,960 Which is why they're now prepared to look at the Moderna 670 00:44:37,960 --> 00:44:40,320 data, being that it's so big they can handle it. 671 00:44:40,760 --> 00:44:44,440 But with our dear old MHRA, their computers kept crashing 672 00:44:44,440 --> 00:44:47,920 and that was obviously if people are analysing things at home, 673 00:44:48,800 --> 00:44:52,080 that was remote analysis as well. 674 00:44:54,480 --> 00:44:58,320 The other thing that they didn't do at this time in terms of 675 00:44:58,600 --> 00:45:02,560 making sure everything was OK was go out to labs and 676 00:45:02,560 --> 00:45:05,320 manufacturing units and make sure everything was OK because 677 00:45:05,320 --> 00:45:09,480 that's their job to make sure that we've got good laboratory 678 00:45:09,480 --> 00:45:13,080 practice, good manufacturing practice happening though now at 679 00:45:13,080 --> 00:45:15,840 this point we're doing virtual inspections and that's how they 680 00:45:15,840 --> 00:45:19,800 continue to go, very difficult to do a virtual inspection 681 00:45:19,800 --> 00:45:23,120 accurately I would suggest of a manufacturing unit that's trying 682 00:45:23,120 --> 00:45:24,760 to show you what they want you to see. 683 00:45:26,360 --> 00:45:31,040 So the other thing was if you look at the the MHRA left, the 684 00:45:31,040 --> 00:45:35,280 EMA kind of completely severed their their contacts with the 685 00:45:35,280 --> 00:45:42,440 EMA in terms of working as part of one unit in January 1st of 686 00:45:42,440 --> 00:45:48,440 January 2021. So this all happened when really 687 00:45:48,680 --> 00:45:51,040 they still had connections with the EMA. 688 00:45:51,360 --> 00:45:54,920 The EMA reports have been very detailed. 689 00:45:55,480 --> 00:45:59,800 So the EMA does an open assessment report and that has 690 00:45:59,800 --> 00:46:03,400 actually done what it was supposed to do and come up with 691 00:46:03,400 --> 00:46:06,480 a whole load of objections and recommendations on the clinical 692 00:46:06,480 --> 00:46:09,640 trials and what have you. And they set a date by which 693 00:46:09,640 --> 00:46:11,800 that information was supposed to come back to them. 694 00:46:12,080 --> 00:46:14,320 I don't think the information was ever provided. 695 00:46:14,440 --> 00:46:18,280 But they asked the questions. MHRA in their public assessment 696 00:46:18,280 --> 00:46:19,960 reports have not asked any questions. 697 00:46:20,240 --> 00:46:23,200 They've just accepted the data because I think they were told 698 00:46:23,200 --> 00:46:26,920 to accept the data, so I asked the questions. 699 00:46:27,240 --> 00:46:32,080 I was just going to clarify that EMA is the European Medicine 700 00:46:32,080 --> 00:46:35,280 Agency. So the EMA is the equivalent to 701 00:46:35,280 --> 00:46:39,680 the MHRA only in in Europe. And I mean I'm listening to this 702 00:46:39,680 --> 00:46:43,480 and I mean I remember the days of the board meetings right at 703 00:46:43,480 --> 00:46:45,360 the beginning. I've watched every single one of 704 00:46:45,360 --> 00:46:50,560 them right from the get go when they were all on Zoom and even 705 00:46:50,560 --> 00:46:53,480 when they were on Zoom, you know, none of them were sitting 706 00:46:53,480 --> 00:46:55,440 around a meeting table, obviously, because it was locked 707 00:46:55,440 --> 00:46:57,320 down. So they were all on Zoom and the 708 00:46:57,320 --> 00:47:00,880 connections kept going and then somebody couldn't connect to the 709 00:47:00,880 --> 00:47:04,760 meeting or somebody lost reception or somebody was muted. 710 00:47:04,760 --> 00:47:09,920 So, you know, it was very confusing at the best of times. 711 00:47:10,280 --> 00:47:13,680 And when you say that these, these documents, you know, 712 00:47:13,840 --> 00:47:17,840 remotely they're going to get remote inspections and remote 713 00:47:17,840 --> 00:47:20,240 analysis. You know, half the time when 714 00:47:20,240 --> 00:47:23,160 you're doing analysis and when you're doing research, the whole 715 00:47:23,160 --> 00:47:25,160 bit is to discuss it with other people. 716 00:47:25,160 --> 00:47:28,280 And that's why being with other people in a laboratory or in an 717 00:47:28,280 --> 00:47:31,640 office or wherever is very useful, because you talk to 718 00:47:31,640 --> 00:47:34,720 other people, whereas they were all isolated. 719 00:47:35,320 --> 00:47:37,360 And and I'm just trying to picture, and I think it's 720 00:47:37,360 --> 00:47:41,840 important we try to picture what these documents would look like 721 00:47:42,160 --> 00:47:45,320 because there's hundreds of thousands and of course millions 722 00:47:45,320 --> 00:47:48,480 in the case of Madonna. I mean, you imagine that piled 723 00:47:48,480 --> 00:47:53,360 up in your front room or piled up in your inbox, emails in your 724 00:47:53,360 --> 00:47:56,160 inbox. And June reigns talking about a 725 00:47:56,160 --> 00:47:59,480 week. She's talking about making fast 726 00:47:59,480 --> 00:48:05,400 decisions, asking no questions whatsoever and priding herself 727 00:48:05,440 --> 00:48:10,080 because I've watched her and she prides herself on the speed and 728 00:48:10,080 --> 00:48:13,920 she let she's trying to say that her staff were working around 729 00:48:13,920 --> 00:48:19,280 the clock 24/7 for maybe a week, 10 days, two weeks and then they 730 00:48:19,280 --> 00:48:23,480 felt they had enough evidence to approve it And and she's really 731 00:48:23,480 --> 00:48:28,160 proud of this achievement and it just I mean those what you're 732 00:48:28,160 --> 00:48:33,280 saying is is shocking, shocking. If somebody could throw back at 733 00:48:33,280 --> 00:48:36,840 us, well, the 3250 researchers aren't working in a building 734 00:48:36,840 --> 00:48:37,800 together. They're not. 735 00:48:37,800 --> 00:48:41,240 They're all over the place. Some are in different countries 736 00:48:41,680 --> 00:48:47,200 but they have a very good person in Amy Kelly, who's so organised 737 00:48:47,200 --> 00:48:50,520 with everybody, who puts them into teams as group people 738 00:48:50,520 --> 00:48:53,400 together, they have group meeting teams, meetings to 739 00:48:53,400 --> 00:48:56,880 actually discuss everything. Everything is analysed. 740 00:48:56,880 --> 00:49:00,680 Chris Flowers gets involved in analysing a lot of what is being 741 00:49:00,680 --> 00:49:05,320 reported and making sure that everything is tested and tested 742 00:49:05,320 --> 00:49:08,320 again so that they're not making anything up. 743 00:49:08,320 --> 00:49:11,920 And the the salient point is that Pfizer haven't sued them 744 00:49:11,920 --> 00:49:15,200 over anything they've said in 94 reports, because it's an 745 00:49:15,200 --> 00:49:19,000 analysis of their own data. I think we should actually 746 00:49:19,000 --> 00:49:24,960 remind everybody watching this is Pfizer's own data and and 747 00:49:24,960 --> 00:49:31,040 that the reason that Amy Kelly's team and Professor Flowers and 748 00:49:31,040 --> 00:49:35,320 all of his researchers can do the job that they're doing is 749 00:49:35,320 --> 00:49:39,200 because they're reading the papers, they're taking the time. 750 00:49:39,440 --> 00:49:42,480 There's thousands of them, there's thousands of them and 751 00:49:42,480 --> 00:49:45,840 they're all reading the papers. And I know from speaking to 752 00:49:46,160 --> 00:49:49,240 Professor Flowers, as you've done on many occasions, you 753 00:49:49,240 --> 00:49:52,160 know, he said that they're literally working around the 754 00:49:52,160 --> 00:49:53,720 clock because they're in every country. 755 00:49:53,720 --> 00:49:57,520 So when Australia are asleep, we're awake, working and vice 756 00:49:57,520 --> 00:49:59,800 versa. And they all get together at 757 00:49:59,800 --> 00:50:03,920 crazy times of the day and night to discuss and they back 758 00:50:03,920 --> 00:50:07,320 everything up. So this research cannot be 759 00:50:07,520 --> 00:50:10,080 challenged because it's Pfizer's own. 760 00:50:10,800 --> 00:50:13,560 Yes, that's very true. And and you see Madonna, I'm 761 00:50:13,560 --> 00:50:17,680 fascinated to see what happens or what their data shows because 762 00:50:18,000 --> 00:50:23,080 they're three times the dose of Pfizer and if the effects are 763 00:50:23,080 --> 00:50:26,800 dose related then it's going to throw up some very important 764 00:50:26,800 --> 00:50:30,400 points that we need to know. Yeah, let's qualify that Cheryl, 765 00:50:30,400 --> 00:50:33,080 because you brought up a really good interesting point here. 766 00:50:33,080 --> 00:50:36,440 And it's something that I tell people that if you to go into a 767 00:50:36,440 --> 00:50:40,960 vaccination centre and there were two people sitting next 768 00:50:41,040 --> 00:50:45,680 next door to one another and one was having a Pfizer vaccine and 769 00:50:45,680 --> 00:50:50,200 the other was having a Moderna. The one that's having Pfizer is 770 00:50:50,200 --> 00:50:57,400 having 33 zero micrograms and the one that's having Moderna is 771 00:50:57,400 --> 00:51:03,120 having 100 micrograms. So one person is having three 772 00:51:03,120 --> 00:51:07,640 times more the dose than the person sitting next to them. 773 00:51:07,960 --> 00:51:10,760 And many people I say that to are absolutely staggered. 774 00:51:11,040 --> 00:51:13,400 But that is the truth of the matter, isn't it, Cheryl? 775 00:51:13,920 --> 00:51:16,160 It is. And if you think about a child 776 00:51:16,160 --> 00:51:24,200 sitting next to an adult with the child, Moderna is 25 777 00:51:24,200 --> 00:51:29,800 micrograms as opposed to 30 in the adult Pfizer. 778 00:51:30,720 --> 00:51:35,600 So the Moderna child's dose is virtually the same as the Pfizer 779 00:51:35,600 --> 00:51:39,600 adult dose. The Pfizer child dose is 10 780 00:51:39,600 --> 00:51:41,400 micrograms. So that's another thing to 781 00:51:41,400 --> 00:51:45,320 consider as well. But that's obviously data that 782 00:51:45,320 --> 00:51:49,640 we'll come to in time as they go through the Moderna information. 783 00:51:49,840 --> 00:51:54,120 So what I asked was, does June Rain believe what she says? 784 00:51:54,240 --> 00:51:57,440 Because she keeps coming out with things like our assessors 785 00:51:57,440 --> 00:51:59,240 have worked around the clock. As you said, they'll be 786 00:51:59,760 --> 00:52:01,800 reviewing hundreds of pages of data. 787 00:52:02,160 --> 00:52:05,240 We approved the vaccine trials within about a week, sometimes 788 00:52:05,240 --> 00:52:07,320 shorter. And I think that was in 789 00:52:08,920 --> 00:52:10,960 Breckenridge. That's it, Breckenridge. 790 00:52:11,840 --> 00:52:15,920 It was his memorial speech that June Rain did that. 791 00:52:15,920 --> 00:52:18,320 She stated that. So these are things she said out 792 00:52:18,320 --> 00:52:21,800 loud on camera. And she said it took long, long 793 00:52:21,800 --> 00:52:25,160 hours, weekends and evenings spent looking at data as soon as 794 00:52:25,160 --> 00:52:29,480 it appears. And that's how she got through 795 00:52:29,480 --> 00:52:33,800 451,000 pages in a period of no longer than three months. 796 00:52:34,640 --> 00:52:39,240 So basically, the MHR as answers are not informed answers. 797 00:52:39,240 --> 00:52:41,880 Whenever you ask them a question, as I did at the board 798 00:52:41,880 --> 00:52:46,520 meeting, you don't get any information that is useful. 799 00:52:46,920 --> 00:52:49,360 They're not telling the truth. They've lost the ability to 800 00:52:49,360 --> 00:52:51,560 protect the public from harmful substances. 801 00:52:51,560 --> 00:52:56,560 Pharmacovigilance is our assessment of a drug to see 802 00:52:56,560 --> 00:53:00,880 whether we should be able to be be given it, whether it is safe 803 00:53:00,880 --> 00:53:04,680 and effective. The MHRA have demonstrated 804 00:53:04,680 --> 00:53:08,240 duplicitous and disingenuous behaviour, and I believe they've 805 00:53:08,240 --> 00:53:10,520 demonstrated malfeasance in. Public office. 806 00:53:11,040 --> 00:53:15,440 Wow. Well, I mean, I have to say, I 807 00:53:15,440 --> 00:53:18,640 would probably agree with you there, Cheryl, on all counts. 808 00:53:18,640 --> 00:53:23,600 And you asked the question, does June Rain believe what she's 809 00:53:23,600 --> 00:53:26,320 saying? And I think I'm not going to ask 810 00:53:26,320 --> 00:53:28,400 you the question because I think I'm going to know the answer. 811 00:53:28,400 --> 00:53:32,800 But I'm going to ask our audience, Do you believe June 812 00:53:32,800 --> 00:53:36,360 Rain? Do you think June Rain has lied 813 00:53:36,360 --> 00:53:39,320 to you? And that's a question for 814 00:53:39,320 --> 00:53:42,160 everybody listening. So yes, thank you for that, 815 00:53:42,160 --> 00:53:44,320 Cheryl. And you're going to bring us on 816 00:53:44,320 --> 00:53:45,920 to something else now too, aren't you? 817 00:53:46,440 --> 00:53:50,880 I am just to to kind of pull everything together. 818 00:53:50,880 --> 00:53:53,160 I suppose I should have done this first. 819 00:53:53,160 --> 00:53:57,680 This is something that Nick Hudson put together in terms of 820 00:53:57,760 --> 00:54:02,400 what we went through in a month. So this is the development of 821 00:54:02,400 --> 00:54:10,640 our our last pandemic, the 30th of December 2019 through to the 822 00:54:10,640 --> 00:54:14,080 end of January, the 30th of January 2020. 823 00:54:14,680 --> 00:54:19,440 And I believe that they've lied about spreading this risk 824 00:54:19,440 --> 00:54:24,640 pathogen. So on the 30th of December 2019, 825 00:54:25,240 --> 00:54:28,880 there were reports that there was an atypical pneumonia in 826 00:54:28,880 --> 00:54:31,720 China. And then it took about 5 days to 827 00:54:31,720 --> 00:54:35,640 the 5th of January for them to start saying they got 44 cases 828 00:54:35,960 --> 00:54:39,560 of atypical pneumonia. And that was of the unknown 829 00:54:39,600 --> 00:54:43,760 etiology, unknown cause. And then by the 7th, 2 days 830 00:54:43,760 --> 00:54:48,520 later, they declared we know what it is now it's a new SARS 831 00:54:48,560 --> 00:54:52,680 virus that's causing it. And then the 9th. 832 00:54:52,680 --> 00:54:56,280 So again, another two days on it now got 65 cases. 833 00:54:56,760 --> 00:55:00,440 OK, So from the 5th to the 9th in four days they got 20 more 834 00:55:00,440 --> 00:55:06,520 cases in the whole of China. And then on the 12th of January, 835 00:55:07,400 --> 00:55:11,240 we knew that PCR kits to test for this new thing had started 836 00:55:11,240 --> 00:55:13,560 to be shipped from the manufacturers. 837 00:55:13,560 --> 00:55:18,160 They started being sent out and at that time the first gene 838 00:55:18,160 --> 00:55:21,800 sequence that the PCR kit was supposed to be based on had been 839 00:55:21,800 --> 00:55:26,520 published the 14th, which again is another two days. 840 00:55:26,520 --> 00:55:31,440 This is when The Who came in and accepted publicly the Josten. 841 00:55:31,440 --> 00:55:36,080 So Christian Josten, the German who developed the PCR protocol 842 00:55:36,280 --> 00:55:41,280 that was used in the test, The Who accepted that as being OK 843 00:55:42,400 --> 00:55:47,760 and then we get to the 23rd of January. 844 00:55:48,920 --> 00:55:52,600 And this is when the PCR protocol that The Who had 845 00:55:52,600 --> 00:55:55,560 already accepted was then peer reviewed. 846 00:55:56,440 --> 00:56:02,000 And so unfortunately it went into the Euro surveillance 847 00:56:02,000 --> 00:56:06,680 publication and Christian Drosden was an editor there of 848 00:56:06,680 --> 00:56:12,680 the place that had reviewed, peer reviewed his protocol and 849 00:56:12,680 --> 00:56:16,120 unbeha unbeknown before it was published within 27 hours. 850 00:56:17,320 --> 00:56:24,760 And then by the 25th of January, New England Journal of Medicine 851 00:56:25,080 --> 00:56:28,240 had published the Chinese study on COVID symptoms. 852 00:56:29,280 --> 00:56:33,080 And by the 30th, so that was five days later, again the New 853 00:56:33,080 --> 00:56:36,960 England Journal of Medicine had published on asymptomatic 854 00:56:36,960 --> 00:56:42,320 transmission that wonderful way of transmitting without having a 855 00:56:42,320 --> 00:56:46,480 cough or a sneeze amongst you. So that was the asymptomatic 856 00:56:46,480 --> 00:56:50,880 transmission of spread. So that was a month's worth of 857 00:56:51,320 --> 00:56:56,040 creation. And what Nick Hudson goes on to 858 00:56:56,040 --> 00:57:00,320 stay in summary is that it established A compressed time 859 00:57:00,320 --> 00:57:02,800 frame of just one month. We've got new clinical 860 00:57:02,800 --> 00:57:04,960 manifestation that's caused by a virus. 861 00:57:05,240 --> 00:57:08,240 This virus has the following sequence that they made known. 862 00:57:09,000 --> 00:57:11,920 It is a test which is the gold standard in identifying the 863 00:57:11,920 --> 00:57:14,480 primer that we are going to use all over the world. 864 00:57:14,880 --> 00:57:18,680 It's now peer reviewed and it's published and this description 865 00:57:18,680 --> 00:57:21,720 of the clinical features of this new disease is known. 866 00:57:22,360 --> 00:57:27,640 And so Nick Hudson, after he got to the end of this creation 867 00:57:27,640 --> 00:57:31,920 story, he said every single one of these steps was a complete, 868 00:57:31,920 --> 00:57:37,720 well, I'll just say both and B premeditated. 869 00:57:38,560 --> 00:57:42,880 And what he also says, which I think you have to think about in 870 00:57:42,880 --> 00:57:48,280 terms of a planned pandemic in the future, is the truth about 871 00:57:48,280 --> 00:57:51,640 pandemics. Pandemics are not increasing. 872 00:57:52,600 --> 00:57:56,480 We don't get any more than we, we've, we've seen before. 873 00:57:57,040 --> 00:58:01,120 Pandemics are not getting worse because for something to be able 874 00:58:01,120 --> 00:58:04,920 to spread it doesn't kill the person very quickly. 875 00:58:05,120 --> 00:58:08,400 That has got it. I mean, Ebola puts people in 876 00:58:08,400 --> 00:58:12,120 their bed and they die fairly quickly before they can pass it 877 00:58:12,120 --> 00:58:14,840 on. So pandemics are not getting any 878 00:58:14,840 --> 00:58:17,840 worse. Human contact with wildlife is 879 00:58:17,840 --> 00:58:19,960 not increasing. In fact, as we live more in 880 00:58:19,960 --> 00:58:23,040 towns and cities, we're getting further away from wildlife. 881 00:58:23,520 --> 00:58:27,640 And the large historic outbreaks were probably bacterial, which 882 00:58:27,640 --> 00:58:31,880 is what they think the Spanish flu that turned into bacterial 883 00:58:31,880 --> 00:58:34,720 pneumonia. And obviously when they weren't 884 00:58:34,720 --> 00:58:40,320 antibiotics in 1918, a lot of people ended up dying 885 00:58:40,320 --> 00:58:44,560 unfortunately. So just some things to consider 886 00:58:44,560 --> 00:58:49,200 as to why we ended up with all these vaccines that are now 887 00:58:49,200 --> 00:58:55,880 being analysed in all the documentation, why we actually 888 00:58:55,880 --> 00:59:00,160 ended up with this pandemic and do you believe that all that 889 00:59:00,160 --> 00:59:01,400 could have happened within a month? 890 00:59:02,400 --> 00:59:05,080 When you put it like that, it's very sobering, isn't it, When 891 00:59:05,080 --> 00:59:07,680 you see it and you hear it like that. 892 00:59:07,680 --> 00:59:12,000 And you know, one of the red flags that always struck me was 893 00:59:12,640 --> 00:59:17,480 a pandemic historically normally burns itself out three to four 894 00:59:17,480 --> 00:59:23,320 years and vaccine development take up to 10 years, you know, 895 00:59:23,320 --> 00:59:26,560 So what would be the point? I always thought what would be 896 00:59:26,560 --> 00:59:31,800 the point of going for a vaccine when it's going to burn itself 897 00:59:31,800 --> 00:59:34,360 out eventually, you know, after three to four years. 898 00:59:34,360 --> 00:59:37,160 So that was always one of my red markers. 899 00:59:37,160 --> 00:59:38,840 But you know, they say what is it? 900 00:59:38,840 --> 00:59:43,480 They say the bigger the lie, the the easier it will be for people 901 00:59:43,480 --> 00:59:47,320 to believe it. And this is just lie after lie. 902 00:59:47,320 --> 00:59:53,080 This is corruption. This is fraud and I just want to 903 00:59:53,080 --> 00:59:57,080 thank you so much for keeping us updated because you're bringing 904 00:59:57,080 --> 01:00:02,640 information to us direct from the daily Clout, Dr. Naomi 905 01:00:02,640 --> 01:00:08,280 Wolfe, Professor Chris Flowers and it's coming exclusively to 906 01:00:08,280 --> 01:00:11,480 the to the column to UK column. So I really would say to people, 907 01:00:11,480 --> 01:00:14,680 please go to the front of the website because the Situation 908 01:00:14,680 --> 01:00:18,880 Room has been set up by Mike Robinson and together Cheryl and 909 01:00:18,880 --> 01:00:22,400 Mike are updating it. Regularly, so all the reports 910 01:00:22,400 --> 01:00:26,760 will come and and be shown after after it's been on the clout, 911 01:00:26,760 --> 01:00:29,280 they'll come straight to the situation room and as Cheryl 912 01:00:29,280 --> 01:00:31,760 said, very easy to find in the search bar. 913 01:00:31,760 --> 01:00:34,640 So just put what it is that you're looking for in particular 914 01:00:34,960 --> 01:00:37,160 and it'll flag up the relevant reports. 915 01:00:37,560 --> 01:00:41,360 Cheryl, before I throw to you for your last word for the final 916 01:00:41,360 --> 01:00:45,280 word, is there anything else you want to say with regards to 917 01:00:45,560 --> 01:00:49,800 either what we've just discussed about the MHRA or the reports 918 01:00:49,800 --> 01:00:52,360 that you've so kindly gone through today? 919 01:00:52,720 --> 01:00:56,640 I just want people to be aware, be aware of what's happening 920 01:00:56,640 --> 01:00:59,640 around them. I mean if you look at that month 921 01:00:59,640 --> 01:01:02,560 worth of development of our pandemic that we've just had, 922 01:01:03,000 --> 01:01:05,960 all those items were on our our news. 923 01:01:06,320 --> 01:01:09,960 We constantly, it seemed like every night we were being told 924 01:01:09,960 --> 01:01:11,720 about the number of cases and what have you. 925 01:01:11,720 --> 01:01:16,680 It was developing in front of our eyes and when the vaccine 926 01:01:16,680 --> 01:01:20,280 started coming out, we were told a story. 927 01:01:20,280 --> 01:01:24,840 We were told a line. And I want to open people's eyes 928 01:01:24,840 --> 01:01:30,720 as I say, so they say no more. And I hope to develop the 929 01:01:30,720 --> 01:01:33,320 Situation Room with some more information in that will be 930 01:01:33,320 --> 01:01:36,760 helpful to people, especially people who are worried as a 931 01:01:36,760 --> 01:01:39,040 result of things that I might have said today. 932 01:01:39,640 --> 01:01:42,880 There is help, there are things that can be done and we'll bring 933 01:01:42,880 --> 01:01:45,520 that information to people as soon as we can. 934 01:01:46,360 --> 01:01:47,680 Yeah. And I think that is really 935 01:01:47,680 --> 01:01:51,040 important, Cheryl, that you know, for anybody watching, and 936 01:01:51,040 --> 01:01:54,080 please don't get worried, don't get scared. 937 01:01:54,160 --> 01:01:58,760 There are plenty of protocols that you can do and we've got on 938 01:01:58,800 --> 01:02:01,240 all of Cheryl's interviews. If you just go into the search 939 01:02:01,240 --> 01:02:05,400 bar, you'll see lots of interviews with Cheryl and also 940 01:02:05,480 --> 01:02:10,040 a bunch, a bunch of flowers for Pfizer with Professor Chris 941 01:02:10,040 --> 01:02:13,880 Flowers where he talks about protocols as well. 942 01:02:14,200 --> 01:02:17,800 So please, please don't be. Don't be worried. 943 01:02:17,840 --> 01:02:22,920 And before I throw to you for the last word, I think I'm just 944 01:02:22,920 --> 01:02:25,080 quickly going to have the last word as well. 945 01:02:25,320 --> 01:02:28,040 I'm going to have my own last word for a change and my last 946 01:02:28,040 --> 01:02:31,160 word is going to be addressed to Dame June Rain. 947 01:02:32,040 --> 01:02:38,160 Dame June Rayne, you obviously haven't and couldn't have read 948 01:02:38,520 --> 01:02:42,640 all of the evidence and the reports that Pfizer and Moderna 949 01:02:42,680 --> 01:02:45,760 have sent to you and your clinical assessment team. 950 01:02:46,040 --> 01:02:51,520 So my question to you, Dame June Rayne, is are you now listening 951 01:02:51,920 --> 01:02:55,400 to the evidence? Because we won't allow this 952 01:02:55,400 --> 01:02:58,920 evidence to be buried. And we will carry on. 953 01:02:59,720 --> 01:03:04,040 We will report on the serious adverse reactions and we will 954 01:03:04,200 --> 01:03:07,600 speak to those who are vaccine injured and we will hear those 955 01:03:07,600 --> 01:03:13,560 stories because you won't. And on that note, Cheryl, I want 956 01:03:13,560 --> 01:03:16,640 to thank you again so much for all that you're doing and it's 957 01:03:16,640 --> 01:03:20,120 over to you for the last word. Thanks, Debbie. 958 01:03:20,120 --> 01:03:23,440 Thanks for giving me this opportunity to bring this to 959 01:03:23,440 --> 01:03:26,320 people's attention. And I always thought it was 960 01:03:26,320 --> 01:03:30,400 strange that the MHRA could be juggled about and it actually 961 01:03:30,400 --> 01:03:33,560 spells harm. And they're supposed to protect 962 01:03:33,560 --> 01:03:36,680 us from harm and they haven't done that at all. 963 01:03:37,040 --> 01:03:40,640 If she says once more that they did a robust review, I'm 964 01:03:40,640 --> 01:03:44,480 probably going to screen because there's nothing robust about the 965 01:03:44,480 --> 01:03:47,520 review that they did. They're still using safe and 966 01:03:47,520 --> 01:03:49,160 effective. We've even had the Prime 967 01:03:49,160 --> 01:03:54,160 Minister say these vaccines are safe, and it's a word that 968 01:03:54,160 --> 01:03:56,960 they're not supposed to use about medications anyway. 969 01:03:57,520 --> 01:04:02,160 But at the end of the day, we need to let people know exactly 970 01:04:02,160 --> 01:04:03,880 what they should have been told in the beginning.