1 00:00:00,240 --> 00:00:04,720 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,800 --> 00:00:09,119 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,160 Speaker 1: learn this stuff they don't want you to know. A 4 00:00:12,240 --> 00:00:13,920 Speaker 1: production of iHeartRadio. 5 00:00:24,640 --> 00:00:26,840 Speaker 2: Hello, welcome back to the show. My name is Matt, 6 00:00:26,960 --> 00:00:27,480 Speaker 2: name is Nol. 7 00:00:28,000 --> 00:00:30,640 Speaker 3: They call me Ben. We're joined as always with our 8 00:00:30,720 --> 00:00:35,400 Speaker 3: super producer Andrew Treyfort's Howard. Most importantly, you are you. 9 00:00:35,400 --> 00:00:36,160 Speaker 4: You are here. 10 00:00:36,440 --> 00:00:40,120 Speaker 3: That makes this the stuff they don't want you to know. 11 00:00:40,479 --> 00:00:43,720 Speaker 3: If you are hearing this the evening it comes out, folks, 12 00:00:43,720 --> 00:00:46,840 Speaker 3: we are almost at the end of the calendar year, 13 00:00:46,920 --> 00:00:50,080 Speaker 3: a time for reflection, a time when we look back 14 00:00:50,120 --> 00:00:53,640 Speaker 3: and think, holy crap, how much stuff has happened over 15 00:00:53,800 --> 00:00:55,240 Speaker 3: just the past couple years. 16 00:00:55,360 --> 00:01:00,560 Speaker 5: Everything's fine a couple last couple of weeks. 17 00:00:57,760 --> 00:00:57,840 Speaker 6: It. 18 00:00:59,440 --> 00:01:02,880 Speaker 3: Says, says the dog in the Burning Room, the cartoon dog. 19 00:01:03,160 --> 00:01:06,160 Speaker 3: We're relevant, We're on point. What memes We're a going 20 00:01:06,200 --> 00:01:06,679 Speaker 3: to come back? 21 00:01:06,680 --> 00:01:09,920 Speaker 4: Actually, it's very releant since the NL just did it. 22 00:01:11,080 --> 00:01:15,000 Speaker 3: Yes, yes, just so. And like the rest of the world, 23 00:01:15,600 --> 00:01:19,680 Speaker 3: we your faithful correspondents, are in the wake of an 24 00:01:19,720 --> 00:01:24,080 Speaker 3: ongoing pandemic, something that fundamentally rocked the planet. Everyone is 25 00:01:24,120 --> 00:01:27,160 Speaker 3: still trying to figure out what happened, how it happened, 26 00:01:27,240 --> 00:01:30,320 Speaker 3: what it means for the future. And there's this continuing 27 00:01:30,440 --> 00:01:34,280 Speaker 3: war of narratives and theories, And as we've discussed previously, 28 00:01:34,720 --> 00:01:38,759 Speaker 3: people still argue to this day about the origins COVID nineteen. 29 00:01:39,319 --> 00:01:43,600 Speaker 3: Was it naturally occurring zoonotic infection from a wet market 30 00:01:43,680 --> 00:01:47,520 Speaker 3: in Wuhan. Was it a lab experiment gone wrong? This 31 00:01:47,680 --> 00:01:50,960 Speaker 3: is a heavy sensitive subject even now at the end 32 00:01:51,000 --> 00:01:54,600 Speaker 3: of twenty twenty four. Luckily, guys, we are joined this 33 00:01:54,680 --> 00:01:59,000 Speaker 3: evening by one of the world's foremost researchers on this case, 34 00:01:59,240 --> 00:02:03,520 Speaker 3: these dilemmas, these questions, the award winning director, executive producer, 35 00:02:03,760 --> 00:02:08,640 Speaker 3: studio exec and creator of Thank You, Doctor Fauci. Folks, 36 00:02:08,720 --> 00:02:12,200 Speaker 3: we proudly welcome Jenner first to the show. Thanks for 37 00:02:12,240 --> 00:02:13,160 Speaker 3: coming on, man. 38 00:02:13,560 --> 00:02:15,279 Speaker 7: Thank you for having me, guys. 39 00:02:15,080 --> 00:02:17,359 Speaker 4: Just as a real Jenner first for the show. 40 00:02:17,680 --> 00:02:21,400 Speaker 5: Get it, because boy, I'm really sorry, sorry. 41 00:02:21,880 --> 00:02:23,760 Speaker 7: I really wish that was the first time. 42 00:02:24,000 --> 00:02:27,160 Speaker 5: Of course saying the first Noel to me and I say, 43 00:02:27,160 --> 00:02:32,079 Speaker 5: they're so creative and clever. It's true that, you know, Ben, 44 00:02:32,320 --> 00:02:34,600 Speaker 5: I couldn't help when you were doing that fantastic intro, 45 00:02:34,840 --> 00:02:38,480 Speaker 5: just thinking about how I haven't thought about this stuff 46 00:02:38,840 --> 00:02:41,919 Speaker 5: because it has not really been in the news a lot, 47 00:02:42,120 --> 00:02:43,800 Speaker 5: you know, since the you know, it was almost like 48 00:02:43,840 --> 00:02:46,840 Speaker 5: overloaded when it was first kind of happening to us, 49 00:02:46,880 --> 00:02:48,840 Speaker 5: and then all of the kind of post mortem, but 50 00:02:48,880 --> 00:02:51,040 Speaker 5: no one's really talking about this stuff as much as 51 00:02:51,080 --> 00:02:53,000 Speaker 5: you think they should be in general. I can only 52 00:02:53,000 --> 00:02:56,880 Speaker 5: imagine that that perhaps led to your exploration to some degree, 53 00:02:56,960 --> 00:02:59,160 Speaker 5: or you know, at least a moment when we need 54 00:02:59,200 --> 00:03:00,760 Speaker 5: to hear about some of them, this kind of stuff, 55 00:03:00,760 --> 00:03:02,080 Speaker 5: what may have actually happened. 56 00:03:02,960 --> 00:03:05,959 Speaker 7: Yeah, it's interesting you say that. I think we hear 57 00:03:06,000 --> 00:03:07,959 Speaker 7: about a lot of things, and then we don't hear 58 00:03:08,000 --> 00:03:10,760 Speaker 7: about a lot of things, And I don't think that's 59 00:03:10,800 --> 00:03:15,840 Speaker 7: a coincidence, and I think therein lies the story. Guys, 60 00:03:15,960 --> 00:03:19,000 Speaker 7: It's a lot more than meets the eye. Let's just 61 00:03:19,080 --> 00:03:19,639 Speaker 7: say that. 62 00:03:20,200 --> 00:03:23,880 Speaker 3: Hey, you you have a track record too for anybody 63 00:03:24,080 --> 00:03:28,359 Speaker 3: somehow unfamiliar. You are a two time Peabody Award winning, 64 00:03:28,560 --> 00:03:33,120 Speaker 3: four time Emmy nominated director, and you have this cavalcade 65 00:03:33,240 --> 00:03:37,840 Speaker 3: of diverse, impactful explorations of society that we could argue 66 00:03:37,880 --> 00:03:41,960 Speaker 3: go across genre with one thing in common, telling us 67 00:03:42,120 --> 00:03:44,800 Speaker 3: the stuff they don't want you to know about a 68 00:03:44,840 --> 00:03:45,680 Speaker 3: given subject. 69 00:03:46,120 --> 00:03:49,720 Speaker 6: Oh, dude, the pharmacist right hotly crap. 70 00:03:49,560 --> 00:03:49,920 Speaker 4: Fire for. 71 00:03:51,400 --> 00:03:55,160 Speaker 6: Yeah, yeah, but I'm just the pharmacist, Jenner. When I 72 00:03:55,200 --> 00:03:57,000 Speaker 6: saw that for the first time, I was like, oh 73 00:03:57,080 --> 00:04:00,920 Speaker 6: my gosh, this dude is my hero. Like I immediately 74 00:04:00,960 --> 00:04:04,720 Speaker 6: connected with the subject of that documentary. If you have 75 00:04:04,760 --> 00:04:07,200 Speaker 6: not watched The Pharmacist, go watch it right now and 76 00:04:07,720 --> 00:04:10,160 Speaker 6: then immediately watch Thank you, Doctor Fauci. 77 00:04:10,480 --> 00:04:13,600 Speaker 3: And I can confirm by the way Jenner, Matt is 78 00:04:13,720 --> 00:04:17,039 Speaker 3: telling the gods honest right there, because when Matt saw 79 00:04:17,080 --> 00:04:20,080 Speaker 3: The Pharmacist, he reached out to us and said, guys, 80 00:04:20,240 --> 00:04:21,360 Speaker 3: we got to check this out. 81 00:04:21,400 --> 00:04:23,560 Speaker 2: We talked about it on the show. It was so good. 82 00:04:23,800 --> 00:04:27,600 Speaker 7: Yes, ironic. The Pharmacist came out in February of twenty twenty. 83 00:04:28,240 --> 00:04:30,680 Speaker 2: So are you serious? 84 00:04:30,680 --> 00:04:32,080 Speaker 7: Well, circle right there. 85 00:04:32,200 --> 00:04:32,720 Speaker 2: There we go. 86 00:04:41,920 --> 00:04:44,680 Speaker 3: Now with that, let's like, now we're talking a little 87 00:04:44,680 --> 00:04:47,839 Speaker 3: bit about context. So before we dive into the deep water, 88 00:04:47,880 --> 00:04:50,440 Speaker 3: and we do have quite a few things we'd like 89 00:04:50,480 --> 00:04:54,680 Speaker 3: to glean your insight on here, Jenner, can you tell 90 00:04:54,800 --> 00:04:58,200 Speaker 3: us what where you were at in life, what was 91 00:04:58,279 --> 00:05:00,760 Speaker 3: going on in your head, what first led you to 92 00:05:01,520 --> 00:05:04,680 Speaker 3: the creation of Thank You, Doctor Fauci. 93 00:05:05,440 --> 00:05:08,760 Speaker 7: Well, I think it's very interesting because actually when I 94 00:05:08,800 --> 00:05:13,120 Speaker 7: had finished and premiered The Pharmacist, I had been contacted 95 00:05:13,160 --> 00:05:16,919 Speaker 7: by these producers who wanted to attach me as a 96 00:05:16,960 --> 00:05:21,040 Speaker 7: director to this film about Anthony Fauci's work in Africa. 97 00:05:21,520 --> 00:05:25,800 Speaker 7: So this is twenty twenty. He's just becoming a household 98 00:05:25,920 --> 00:05:29,320 Speaker 7: name as the pandemic is starting to pick up, and 99 00:05:29,680 --> 00:05:34,520 Speaker 7: I developed this project. I had his contact, I had 100 00:05:34,520 --> 00:05:38,440 Speaker 7: done my initial research. We took the project out. This 101 00:05:38,760 --> 00:05:43,560 Speaker 7: was about Pepfar, an initiative in Africa which tried to 102 00:05:43,560 --> 00:05:48,400 Speaker 7: stop the AIDS pandemic. It involved President Bush and Bono 103 00:05:49,200 --> 00:05:52,680 Speaker 7: and it was a pretty crazy story and no one 104 00:05:52,720 --> 00:05:57,919 Speaker 7: bought it. And so I went on and directed I 105 00:05:57,960 --> 00:06:03,320 Speaker 7: believe three during the pandemic. So I was very busy, 106 00:06:03,360 --> 00:06:06,960 Speaker 7: and I was very lucky. And my personal life and 107 00:06:07,000 --> 00:06:11,120 Speaker 7: all the different things that we all experienced and suffered 108 00:06:11,120 --> 00:06:16,159 Speaker 7: through I experienced. But I was busy, and like I said, 109 00:06:16,240 --> 00:06:22,279 Speaker 7: fortunate because the industry, my industry supported remote working, and 110 00:06:22,360 --> 00:06:24,880 Speaker 7: I was able to keep directing and people wanted content. 111 00:06:25,839 --> 00:06:31,640 Speaker 7: And in late twenty twenty three, my attorney contacted me 112 00:06:31,680 --> 00:06:37,520 Speaker 7: and said they're these independent television producers. They have raised 113 00:06:37,560 --> 00:06:41,120 Speaker 7: their own personal finances and they want to attach you 114 00:06:41,200 --> 00:06:45,840 Speaker 7: to this project. They're looking for an accomplished director who 115 00:06:46,120 --> 00:06:51,400 Speaker 7: will independently investigate a story. And before I tell you, 116 00:06:51,440 --> 00:06:54,560 Speaker 7: I just want to warn you it's controversial. You may 117 00:06:54,640 --> 00:06:58,520 Speaker 7: find them crazy. I promise they're good guys, and you should. 118 00:06:58,600 --> 00:07:01,040 Speaker 7: You should hear them out. And so I take a 119 00:07:01,080 --> 00:07:06,080 Speaker 7: call and these producers, Lewis Fenton and Scott Saint John, 120 00:07:06,839 --> 00:07:10,160 Speaker 7: they tell me that they believe that Anthony Fauci has 121 00:07:10,200 --> 00:07:14,480 Speaker 7: done terrible things and that he lied, and he lied repeatedly. 122 00:07:15,200 --> 00:07:19,640 Speaker 7: And you know, this wasn't a big shock to me. Unfortunately, 123 00:07:19,640 --> 00:07:22,200 Speaker 7: I'm a very cynical person. I can't say I skipped 124 00:07:22,200 --> 00:07:26,080 Speaker 7: a beat in the beginning of the pandemic when conversations 125 00:07:26,120 --> 00:07:30,560 Speaker 7: about Wuhan began, because it's logical, right, there's a laboratory 126 00:07:30,560 --> 00:07:34,600 Speaker 7: in the same city where the outbreak happened. I believe 127 00:07:34,680 --> 00:07:38,720 Speaker 7: that governments lie, that the media lie, all those things. 128 00:07:39,080 --> 00:07:42,560 Speaker 7: But I had been whisked away like everybody else, and 129 00:07:42,800 --> 00:07:46,040 Speaker 7: you know, caught up in the craze and the dividing 130 00:07:46,160 --> 00:07:49,960 Speaker 7: nature of this topic. I was vaccinated. I saw my 131 00:07:50,120 --> 00:07:53,400 Speaker 7: own friend group kind of get fractured around that issue 132 00:07:53,440 --> 00:07:56,760 Speaker 7: my own family. I saw the politically charged nature of 133 00:07:56,800 --> 00:08:01,760 Speaker 7: the story, and I found myself subconsciously align with a 134 00:08:01,880 --> 00:08:05,400 Speaker 7: side of this story, you know, regardless of the fact 135 00:08:05,440 --> 00:08:09,960 Speaker 7: that I've been conditioned to accept everything that I would 136 00:08:10,040 --> 00:08:14,520 Speaker 7: soon discover. I was manipulated into kind of just going 137 00:08:14,560 --> 00:08:18,280 Speaker 7: with the herd, so to speak. And so I listened 138 00:08:18,320 --> 00:08:20,560 Speaker 7: to them and I said, look, I don't do head pieces, 139 00:08:20,600 --> 00:08:23,280 Speaker 7: I don't do witch hunts. If you want to just 140 00:08:23,320 --> 00:08:25,720 Speaker 7: do a takedown of Anthony Fauci, I'm probably not the 141 00:08:25,800 --> 00:08:28,640 Speaker 7: right guy. Give me a couple of days. Let me 142 00:08:28,680 --> 00:08:32,319 Speaker 7: go and see what is out there as far as 143 00:08:32,360 --> 00:08:34,600 Speaker 7: evidence is concerned, because I don't, you know, I don't 144 00:08:34,640 --> 00:08:36,120 Speaker 7: just want to jump in. I want to see where 145 00:08:36,160 --> 00:08:38,520 Speaker 7: the reporting is to date, and I want to get 146 00:08:38,520 --> 00:08:41,480 Speaker 7: back to you guys. I spent about three hours on 147 00:08:41,520 --> 00:08:45,880 Speaker 7: the Internet and immediately saw that there were almost two 148 00:08:45,960 --> 00:08:49,640 Speaker 7: hundred thousand pages of evidence that had been released over 149 00:08:49,679 --> 00:08:54,800 Speaker 7: the last two years since I was looking. And it 150 00:08:54,920 --> 00:08:59,600 Speaker 7: wasn't the substance of this material that shocked me the 151 00:08:59,600 --> 00:09:03,280 Speaker 7: most was that I had lived in a bubble where 152 00:09:03,679 --> 00:09:06,720 Speaker 7: every major media outlet that I trusted like the New 153 00:09:06,800 --> 00:09:12,160 Speaker 7: York Times, the Washington Post, you know, other major outlets 154 00:09:12,280 --> 00:09:15,800 Speaker 7: like that, had avoided this story. They had avoided not 155 00:09:15,880 --> 00:09:19,440 Speaker 7: just the reporting of the grants and the funding and 156 00:09:19,520 --> 00:09:22,920 Speaker 7: all the different connections that Anthony Faucci and the United 157 00:09:22,960 --> 00:09:27,080 Speaker 7: States government had to WUHAN. They had even avoided the 158 00:09:27,160 --> 00:09:33,080 Speaker 7: bombshell grant proposal from twenty eighteen, which is before the 159 00:09:33,120 --> 00:09:38,520 Speaker 7: pandemic happened, to do work on coronaviruses and essentially create 160 00:09:38,800 --> 00:09:43,199 Speaker 7: a virus that looked identical to COVID before the pandemic 161 00:09:43,280 --> 00:09:47,560 Speaker 7: started in the same city that the pandemic originated. And 162 00:09:47,640 --> 00:09:51,880 Speaker 7: so I was, you know, I felt like a sucker. 163 00:09:52,400 --> 00:09:54,800 Speaker 7: And that's what really got me looking deeper. And that's 164 00:09:54,800 --> 00:09:55,880 Speaker 7: how I'm here right now. 165 00:09:56,760 --> 00:09:59,960 Speaker 6: And just to be clear, that is that is ever 166 00:10:00,360 --> 00:10:02,840 Speaker 6: that you found. That is not somebody on social media 167 00:10:02,960 --> 00:10:06,480 Speaker 6: talking about this thing. This is research that you did 168 00:10:06,800 --> 00:10:11,520 Speaker 6: in an actual piece of like primary documentation that you 169 00:10:11,559 --> 00:10:13,600 Speaker 6: can find this proof that correct. 170 00:10:14,000 --> 00:10:17,800 Speaker 7: Yeah, that's what's so shocking is that you of course, 171 00:10:17,920 --> 00:10:20,240 Speaker 7: we know there's a lot of talk on social media, 172 00:10:20,360 --> 00:10:23,720 Speaker 7: and I think a lot of social media gets dismissed 173 00:10:23,760 --> 00:10:31,079 Speaker 7: as just conjecture or you know, opinion, but this evidence, 174 00:10:31,720 --> 00:10:39,840 Speaker 7: this actual source material, verified grant proposals, verified emails, freedom 175 00:10:39,920 --> 00:10:44,240 Speaker 7: of information lawsuit materials that had been released drip and 176 00:10:44,360 --> 00:10:48,800 Speaker 7: drab for three years straight, even that had been discussed 177 00:10:48,840 --> 00:10:52,360 Speaker 7: on social media. And so, first of all, I was 178 00:10:52,559 --> 00:10:58,600 Speaker 7: mortified that the paper of record, the you know, democracy 179 00:10:58,640 --> 00:11:02,719 Speaker 7: dies in darkness, you know, the Fourth Estate, had avoided 180 00:11:02,720 --> 00:11:06,280 Speaker 7: this story. And even more shocking to me was that 181 00:11:06,360 --> 00:11:12,079 Speaker 7: they continued to promote a natural origin. And I started 182 00:11:12,120 --> 00:11:15,160 Speaker 7: to see that a lot of these scientists who are 183 00:11:15,280 --> 00:11:20,240 Speaker 7: out in front talking about the pandemic in this stratified 184 00:11:20,320 --> 00:11:24,240 Speaker 7: landscape where if it's blue, you know, it's natural, and 185 00:11:24,280 --> 00:11:26,560 Speaker 7: if it's red, it came from a lab, and Faucy 186 00:11:26,679 --> 00:11:29,920 Speaker 7: is evil, and you know, just a very very black 187 00:11:29,920 --> 00:11:33,560 Speaker 7: and white story. But I started to see that who 188 00:11:33,640 --> 00:11:38,319 Speaker 7: I had previously associated, who had been conditioned to associate 189 00:11:38,360 --> 00:11:42,400 Speaker 7: with as a progressive, was getting the story completely wrong 190 00:11:42,440 --> 00:11:47,080 Speaker 7: and in fact was potentially propagating a lie and doing 191 00:11:47,120 --> 00:11:51,040 Speaker 7: so in a way that was absolutely horrifying to me. 192 00:11:51,480 --> 00:11:53,320 Speaker 7: And the more I looked into it, the more I 193 00:11:53,360 --> 00:11:56,280 Speaker 7: saw that it was way worse than I even thought. 194 00:11:56,800 --> 00:11:59,760 Speaker 3: General, we got to get to it, you and your 195 00:11:59,760 --> 00:12:06,040 Speaker 3: tea have in depth at interviews with multiple experts, and 196 00:12:06,080 --> 00:12:08,720 Speaker 3: one thing that I greatly appreciate, I think we all 197 00:12:08,760 --> 00:12:15,280 Speaker 3: greatly appreciate about this exploration is that we're not introduced to, 198 00:12:16,880 --> 00:12:19,640 Speaker 3: you know what false dichotomies and media would call whack 199 00:12:19,760 --> 00:12:22,520 Speaker 3: jobs or wing nuts or anything like that. One of 200 00:12:22,559 --> 00:12:26,160 Speaker 3: the first folks that you introduce us to in this 201 00:12:26,280 --> 00:12:29,880 Speaker 3: piece is and you reminded me of this when you 202 00:12:29,920 --> 00:12:33,120 Speaker 3: talk about seeing all these experts come up and make 203 00:12:33,200 --> 00:12:37,480 Speaker 3: speeches adhering to a narrative. You introduce us to doctor 204 00:12:37,840 --> 00:12:41,520 Speaker 3: Robert Redfield, one of the guys who is not making 205 00:12:42,160 --> 00:12:47,800 Speaker 3: a lot of universally propagated conversations about COVID, despite the 206 00:12:47,800 --> 00:12:50,600 Speaker 3: fact that he is the director of the Center for 207 00:12:50,679 --> 00:12:55,280 Speaker 3: Disease Control from twenty eighteen to twenty twenty one. For 208 00:12:55,440 --> 00:12:59,680 Speaker 3: a lot of us watching the film, doctor Redfield seems 209 00:13:00,160 --> 00:13:05,559 Speaker 3: to have some surprisingly strident differences of opinion and perspective 210 00:13:06,160 --> 00:13:09,080 Speaker 3: from those of doctor Fauci. Could you tell us a 211 00:13:09,120 --> 00:13:12,760 Speaker 3: little bit about his contentions and a little bit about 212 00:13:12,760 --> 00:13:14,240 Speaker 3: how you guys got connected. 213 00:13:15,400 --> 00:13:19,760 Speaker 7: Yeah, I mean, what I discovered was there was a 214 00:13:20,040 --> 00:13:23,480 Speaker 7: community of people who had been on the inside of 215 00:13:23,520 --> 00:13:27,440 Speaker 7: this story who had investigated it and who within the 216 00:13:27,520 --> 00:13:33,520 Speaker 7: scientific establishment had fought Anthony Fauci not just about COVID, 217 00:13:33,600 --> 00:13:37,840 Speaker 7: but about a lot of things, about this really controversial 218 00:13:37,840 --> 00:13:41,600 Speaker 7: form of research called gain of function. And doctor Robert 219 00:13:41,640 --> 00:13:45,560 Speaker 7: Redfield happened to be one of those people, and he 220 00:13:45,679 --> 00:13:49,360 Speaker 7: happened to be in a very very important role during 221 00:13:49,400 --> 00:13:54,880 Speaker 7: the pandemic, at least when the pandemic started, and I 222 00:13:55,000 --> 00:13:58,760 Speaker 7: was introduced to him from a very unlikely person. So 223 00:13:59,240 --> 00:14:02,320 Speaker 7: as I began to fall down the rabbit hole, one 224 00:14:02,480 --> 00:14:05,640 Speaker 7: person would introduce me to another person, to another person, 225 00:14:05,679 --> 00:14:08,720 Speaker 7: and so, you know, you get in touch with Richard Ebright, 226 00:14:08,960 --> 00:14:11,160 Speaker 7: and Richard Ebright says, you know, you need to talk 227 00:14:11,200 --> 00:14:14,160 Speaker 7: to these people, and you need to talk to Jeffrey Sachs. 228 00:14:14,160 --> 00:14:17,480 Speaker 7: And so I talked to Jeffrey Sachs, who's a you know, 229 00:14:17,559 --> 00:14:22,040 Speaker 7: renowned progressive, left leaning economist, and he says, you know, 230 00:14:22,120 --> 00:14:25,600 Speaker 7: you must talk to doctor Robert Redfield, who was a 231 00:14:25,640 --> 00:14:29,760 Speaker 7: Trump appointee and the CDC director. And so right off 232 00:14:29,800 --> 00:14:33,760 Speaker 7: the bat, everything went against the political conditioning that we 233 00:14:33,840 --> 00:14:38,200 Speaker 7: are all you know, supposed to have, and these people 234 00:14:38,240 --> 00:14:41,840 Speaker 7: were united not about you know, some kind of commentary 235 00:14:41,960 --> 00:14:45,840 Speaker 7: or opinion, but about the hard, cold evidence, and Redfield 236 00:14:45,920 --> 00:14:49,720 Speaker 7: had been ostracized. And if you look at the press 237 00:14:49,760 --> 00:14:53,680 Speaker 7: of the CDC director at the time of the original outbreak, 238 00:14:54,000 --> 00:14:56,160 Speaker 7: at the time that the pandemic began to spread around 239 00:14:56,200 --> 00:15:00,280 Speaker 7: the world, the CDC director and the CDC were blamed 240 00:15:00,680 --> 00:15:03,160 Speaker 7: for a lot of the problems. And if you even 241 00:15:03,200 --> 00:15:07,080 Speaker 7: look at Anthony Fauci doing press, he will say things like, 242 00:15:07,280 --> 00:15:11,120 Speaker 7: I'm just following the guidance of the CDC, And what 243 00:15:11,240 --> 00:15:14,760 Speaker 7: I learned was it was the complete opposite, and that 244 00:15:14,840 --> 00:15:20,480 Speaker 7: the CDC director, Bob Redfield, was essentially powerless, and that 245 00:15:20,520 --> 00:15:24,760 Speaker 7: within that agency HHS, you have the FDA, you have 246 00:15:24,800 --> 00:15:27,840 Speaker 7: the CDC, and you have the NIH. And at the 247 00:15:27,920 --> 00:15:32,720 Speaker 7: time the HHS director was Alex Azar. But the person 248 00:15:32,760 --> 00:15:35,960 Speaker 7: with the most seniority, who had been in HHS for 249 00:15:36,040 --> 00:15:41,000 Speaker 7: the longest, who had understood that bureaucracy better than anyone, 250 00:15:41,240 --> 00:15:44,640 Speaker 7: was Anthony Fauci. And I think for anyone on the inside, 251 00:15:45,040 --> 00:15:47,880 Speaker 7: they knew that Anthony Fauci was the most powerful person. 252 00:15:48,480 --> 00:15:52,600 Speaker 7: And so in talking to Bob Redfield, it was immediately 253 00:15:52,680 --> 00:15:56,840 Speaker 7: clear that everything about this man, about this doctor, about 254 00:15:56,840 --> 00:16:00,720 Speaker 7: this scientist, about his opinions, about the actual things that 255 00:16:00,800 --> 00:16:04,720 Speaker 7: transpired in the early days of COVID was wrong, and 256 00:16:04,760 --> 00:16:08,360 Speaker 7: that there had been some cover up. There was a 257 00:16:08,440 --> 00:16:13,920 Speaker 7: series of events that the public had no idea happened. 258 00:16:14,240 --> 00:16:17,960 Speaker 7: And Bob Redfield is the most inside person. And not 259 00:16:18,000 --> 00:16:21,360 Speaker 7: only is an inside person to the outbreak and to 260 00:16:21,560 --> 00:16:24,240 Speaker 7: the early days of the pandemic, he's someone who knew 261 00:16:24,240 --> 00:16:28,720 Speaker 7: Fauci for forty years. He was on the ground during 262 00:16:28,800 --> 00:16:31,960 Speaker 7: the AIDS pandemic in the very beginning. In fact, he 263 00:16:32,080 --> 00:16:36,200 Speaker 7: did a lot of very important work. And when we 264 00:16:36,240 --> 00:16:39,480 Speaker 7: look back at history, it's very ironic because Anthony Fauci 265 00:16:39,840 --> 00:16:42,960 Speaker 7: takes credit, you know, as one of the heroes of 266 00:16:43,000 --> 00:16:46,080 Speaker 7: the AIDS pandemic, but it was actually the opposite when 267 00:16:46,120 --> 00:16:52,360 Speaker 7: the pandemic happened, and people like Redfield represented really good, honest, 268 00:16:52,680 --> 00:16:55,000 Speaker 7: ethical science. He was one of the first people to say, 269 00:16:55,000 --> 00:16:58,960 Speaker 7: this isn't a gay disease, this is transmitted by bodily fluids. 270 00:16:58,960 --> 00:17:03,200 Speaker 7: He was treating people in the army, and I think 271 00:17:03,240 --> 00:17:07,160 Speaker 7: that I immediately understood that Bob Redfield had no interest 272 00:17:07,240 --> 00:17:11,640 Speaker 7: in fame. He had no interest in parleying his experience 273 00:17:11,760 --> 00:17:14,399 Speaker 7: into a platform. He didn't have a lot of social 274 00:17:14,400 --> 00:17:17,520 Speaker 7: media followers, and he didn't create a lot of wealth 275 00:17:18,000 --> 00:17:21,160 Speaker 7: after the pandemic. He had no endorsements, he didn't work 276 00:17:21,160 --> 00:17:24,240 Speaker 7: for a pharmaceutical company, he doesn't worked for a powerful 277 00:17:24,280 --> 00:17:28,840 Speaker 7: lobbyist group. He's just a doctor who was on the 278 00:17:28,840 --> 00:17:32,040 Speaker 7: front lines of the pandemic as the CDC director, and 279 00:17:32,200 --> 00:17:36,119 Speaker 7: everything he did and everything he thought was covered up. 280 00:17:36,200 --> 00:17:39,120 Speaker 5: Well, you know, in the documentary, Redfield goes so far 281 00:17:39,160 --> 00:17:43,119 Speaker 5: as to even express more than mild annoyance that Fauci 282 00:17:43,240 --> 00:17:45,840 Speaker 5: kind of seemed to take it upon himself to become 283 00:17:45,880 --> 00:17:47,800 Speaker 5: the spokesperson more or less. 284 00:17:47,840 --> 00:17:49,120 Speaker 4: That he doesn't. 285 00:17:48,720 --> 00:17:50,800 Speaker 5: Phrase it as though he's stealing his thunder. He just 286 00:17:50,880 --> 00:17:52,440 Speaker 5: kind of says that was a little interesting. He was 287 00:17:52,560 --> 00:17:56,680 Speaker 5: very aggressive about putting himself forth to being the kind 288 00:17:56,720 --> 00:18:00,520 Speaker 5: of poster child for this wet market theory, which is 289 00:18:00,600 --> 00:18:02,920 Speaker 5: kind of the prevailing theory they were pushing that would 290 00:18:02,960 --> 00:18:06,280 Speaker 5: go against this idea of a lab leak in Wuhan. Instead, 291 00:18:06,320 --> 00:18:10,120 Speaker 5: it was the idea that this zoonotic you know, virus 292 00:18:10,920 --> 00:18:14,360 Speaker 5: was created naturally, I guess, for lack of a better 293 00:18:14,400 --> 00:18:16,920 Speaker 5: way of putting it, at one of these web markets 294 00:18:16,960 --> 00:18:22,320 Speaker 5: in Wuhan. Why do you think Fauci was such a 295 00:18:22,359 --> 00:18:25,040 Speaker 5: good poster child. I guess of this. 296 00:18:25,080 --> 00:18:33,280 Speaker 7: Theory, well, I think that Anthony Fauci has an incredible 297 00:18:33,320 --> 00:18:38,359 Speaker 7: bedside manner. And in addition to having an incredible bedside manner, 298 00:18:38,960 --> 00:18:42,719 Speaker 7: he has a lot of experience in Washington and has 299 00:18:42,840 --> 00:18:50,640 Speaker 7: weathered many different news events, scandals, movements, and time presidential administrations. 300 00:18:50,800 --> 00:18:53,840 Speaker 7: He is someone who's you know, butter doesn't melt in 301 00:18:53,880 --> 00:18:56,040 Speaker 7: his mouth, or at least that's what it looks like. 302 00:18:57,000 --> 00:19:01,760 Speaker 7: And the reality is that Fauci has been the frontman 303 00:19:02,560 --> 00:19:06,840 Speaker 7: for an aggressive biodefense agenda for the last twenty years. 304 00:19:07,440 --> 00:19:12,600 Speaker 7: And contrary to what liberal progressive Democrats may believe, the 305 00:19:12,680 --> 00:19:15,240 Speaker 7: man who gave him the most power in his career 306 00:19:15,560 --> 00:19:18,480 Speaker 7: was Dick Cheney. And in the wake of nine to eleven, 307 00:19:18,640 --> 00:19:22,800 Speaker 7: when all of these different rights and regulations and structures 308 00:19:22,840 --> 00:19:27,760 Speaker 7: were being taken apart of yeah right with the excuse 309 00:19:27,800 --> 00:19:31,879 Speaker 7: of terrorism, biodefense had the same filter. And it was 310 00:19:31,920 --> 00:19:36,640 Speaker 7: the anthrax attack that put Anthony Fauci on a direct 311 00:19:36,800 --> 00:19:40,240 Speaker 7: course to become the number one person in biodefense. The 312 00:19:40,320 --> 00:19:44,320 Speaker 7: problem was there was no real regulation and that Cheney 313 00:19:44,359 --> 00:19:48,080 Speaker 7: had taken biodefense out of the Pentagon in the Defense Department, 314 00:19:48,160 --> 00:19:50,440 Speaker 7: where it was heavily regulated, where there was a lot 315 00:19:50,480 --> 00:19:53,000 Speaker 7: of compliance review, and he had given it to an 316 00:19:53,040 --> 00:19:56,199 Speaker 7: agency where there was none of that. And billions of 317 00:19:56,240 --> 00:19:59,520 Speaker 7: dollars went into this research, and there had been scientists 318 00:19:59,520 --> 00:20:03,320 Speaker 7: fighting that, and even scientists like Redfield who witnessed this 319 00:20:04,280 --> 00:20:07,960 Speaker 7: whole transition, who were very skeptical and who felt like 320 00:20:08,080 --> 00:20:12,919 Speaker 7: the research that was being done was not research that 321 00:20:13,119 --> 00:20:15,760 Speaker 7: was going to make the planet safer that in fact, 322 00:20:15,760 --> 00:20:18,000 Speaker 7: it was the opposite. It was research that was going 323 00:20:18,040 --> 00:20:21,000 Speaker 7: to create more and more risk for everyone because. 324 00:20:20,840 --> 00:20:23,760 Speaker 5: It's dangerous to contain or some of these labs were 325 00:20:23,760 --> 00:20:26,320 Speaker 5: not set up in such a way to have a 326 00:20:26,400 --> 00:20:29,000 Speaker 5: robust protection against these potential leaks. 327 00:20:30,200 --> 00:20:35,879 Speaker 7: Biological weapons or weapons of mass destruction, and unlike nuclear weapons, 328 00:20:36,560 --> 00:20:39,920 Speaker 7: a biological weapon that could wipe out the human race 329 00:20:40,000 --> 00:20:43,880 Speaker 7: can be created in a high school chemistry lab. And 330 00:20:44,320 --> 00:20:48,720 Speaker 7: that is just a scary reality that anyone who knows 331 00:20:48,760 --> 00:20:53,160 Speaker 7: about biological weapons knows is true. And so there were 332 00:20:53,200 --> 00:21:01,200 Speaker 7: these technological advances that made this field of biological weaponry 333 00:21:01,359 --> 00:21:06,199 Speaker 7: and biodefense a lot more sophisticated. And we all know 334 00:21:06,280 --> 00:21:10,080 Speaker 7: about Crisper, and you know genetic sort of editing. This 335 00:21:10,240 --> 00:21:14,080 Speaker 7: was happening in viruses, and you know, this has the 336 00:21:14,119 --> 00:21:18,520 Speaker 7: potential to take a common cold and mix that cold 337 00:21:18,560 --> 00:21:22,840 Speaker 7: with HIV, or mix you know, a bird flu with 338 00:21:22,960 --> 00:21:26,760 Speaker 7: a bola, or take some characteristics of one virus that 339 00:21:27,160 --> 00:21:31,960 Speaker 7: transmits in a respiratory way with a virus that was 340 00:21:32,040 --> 00:21:36,040 Speaker 7: never you know, airborne. And this type of research was 341 00:21:36,480 --> 00:21:40,400 Speaker 7: popularized by Anthony Fauci. A lot of people were arguing 342 00:21:40,440 --> 00:21:43,359 Speaker 7: that this was a Pandora's box and that once you 343 00:21:43,440 --> 00:21:46,040 Speaker 7: open it, you can't close it again, and that once 344 00:21:46,119 --> 00:21:50,200 Speaker 7: you know, one mistake could wipe out the human race 345 00:21:50,440 --> 00:21:53,520 Speaker 7: or could create a pandemic that you know, the world 346 00:21:53,520 --> 00:21:54,240 Speaker 7: had never seen. 347 00:21:56,280 --> 00:21:58,359 Speaker 6: And with that, we're going to take a quick break. 348 00:21:58,600 --> 00:22:00,880 Speaker 6: Hear a word from our sponsors. Will be right back. 349 00:22:08,720 --> 00:22:13,760 Speaker 3: We've returned. Let's dive back in, Jenner. What you just 350 00:22:13,920 --> 00:22:18,520 Speaker 3: explained in very approachable terms for anyone unfamiliar is the 351 00:22:18,560 --> 00:22:22,680 Speaker 3: idea of gain of function, right, giving new abilities to 352 00:22:23,119 --> 00:22:27,200 Speaker 3: life forms, be they viral or something else that ordinarily 353 00:22:27,280 --> 00:22:30,720 Speaker 3: did not exist in the wild. And I want to 354 00:22:30,760 --> 00:22:35,120 Speaker 3: go back to something that you mentioned here because it's 355 00:22:35,280 --> 00:22:39,960 Speaker 3: definitely a sticking point, not just on a scientific level, 356 00:22:40,200 --> 00:22:42,879 Speaker 3: but on a deep philosophical level for a lot of 357 00:22:42,920 --> 00:22:49,040 Speaker 3: the scientists and experts you interview, which is the binary 358 00:22:49,600 --> 00:22:55,600 Speaker 3: or purported binary difference between bioweaponry research and biodefense research. 359 00:22:56,040 --> 00:22:59,840 Speaker 3: At more than one moment, we see experts that you're 360 00:23:00,000 --> 00:23:05,560 Speaker 3: speaking with to seem like almost righteously indignant about the 361 00:23:05,640 --> 00:23:08,600 Speaker 3: idea that how did they put it? In one in 362 00:23:08,640 --> 00:23:12,760 Speaker 3: one conversation, the idea that the best way to protect 363 00:23:12,840 --> 00:23:18,719 Speaker 3: against bioweapons is to research into how we make bioweapons. 364 00:23:17,920 --> 00:23:19,560 Speaker 4: Which is just making bioweapons. 365 00:23:21,200 --> 00:23:23,679 Speaker 7: Yeah, that's actually Redfield who says that. 366 00:23:23,680 --> 00:23:26,040 Speaker 3: Right, It's a lot. Yeah, it's a lot like the 367 00:23:26,080 --> 00:23:29,400 Speaker 3: fire department saying, you know, guys, as the fire department, 368 00:23:29,880 --> 00:23:33,120 Speaker 3: what we need to do is start more house fires 369 00:23:33,800 --> 00:23:36,280 Speaker 3: because that'll help us figure out how to put them 370 00:23:36,320 --> 00:23:36,800 Speaker 3: out later. 371 00:23:37,359 --> 00:23:41,680 Speaker 7: Yeah, except you know, imagine that with you know, h bombs, 372 00:23:41,840 --> 00:23:47,440 Speaker 7: because you know these are fires. Viruses have arguably billions 373 00:23:47,440 --> 00:23:52,200 Speaker 7: of years more evolution than humans, and they evolve faster 374 00:23:52,760 --> 00:23:56,840 Speaker 7: than we can even understand. I mean, obviously a virologist 375 00:23:56,880 --> 00:24:02,399 Speaker 7: than a microbiologists molecular biologists could tell you how fast 376 00:24:02,520 --> 00:24:06,280 Speaker 7: these viruses evolve. But within days, within weeks, a virus 377 00:24:06,359 --> 00:24:11,000 Speaker 7: can completely change and so we're playing with organisms that 378 00:24:11,880 --> 00:24:18,439 Speaker 7: arguably do things that we can't necessarily predict. And like 379 00:24:18,560 --> 00:24:22,040 Speaker 7: many people have said, where these scientists were playing God 380 00:24:22,720 --> 00:24:25,800 Speaker 7: or playing master of the universe, or you know, playing 381 00:24:25,840 --> 00:24:28,919 Speaker 7: master of evolution. And I think that that is a 382 00:24:29,000 --> 00:24:32,440 Speaker 7: dangerous concept and really an archetype in science for years. 383 00:24:32,480 --> 00:24:35,520 Speaker 7: I mean, this is one of those stories that is 384 00:24:35,680 --> 00:24:42,080 Speaker 7: so essential mythological. It's a fable, it's a parable. You know, 385 00:24:42,119 --> 00:24:44,520 Speaker 7: it's when you fly, you know, it's icarus. You fly 386 00:24:44,640 --> 00:24:47,600 Speaker 7: too close to the sun, your your wings melt. And 387 00:24:48,080 --> 00:24:52,080 Speaker 7: that's essentially the type of work that Faut she was 388 00:24:52,119 --> 00:24:57,240 Speaker 7: doing while enjoying incredible celebrity and enjoying the power he 389 00:24:57,359 --> 00:25:01,159 Speaker 7: gained from being the largest funder of biomedical research in 390 00:25:01,200 --> 00:25:05,960 Speaker 7: the world and someone who had a secret parallel budget 391 00:25:06,080 --> 00:25:10,320 Speaker 7: with the Defense Department to shell out even more billions 392 00:25:10,400 --> 00:25:14,800 Speaker 7: that were not recorded. And you know, it's ironic that 393 00:25:15,080 --> 00:25:21,520 Speaker 7: after all that time, a pandemic happens arguably from this research, 394 00:25:22,000 --> 00:25:25,840 Speaker 7: and we are completely unprepared for the pandemic, which was 395 00:25:26,080 --> 00:25:29,160 Speaker 7: the reason why this research happened in the first place. 396 00:25:29,240 --> 00:25:32,480 Speaker 7: In fact, a lot of this research was connected to 397 00:25:33,160 --> 00:25:38,520 Speaker 7: an mRNA vaccine for coronaviruses, which you know, the initiative 398 00:25:38,920 --> 00:25:42,800 Speaker 7: sprung from the original Stars outbreak years ago in the 399 00:25:42,840 --> 00:25:47,240 Speaker 7: early odds, and for years, this idea that a Stars 400 00:25:47,320 --> 00:25:51,080 Speaker 7: virus could be another pandemic or biological weapon, or simply 401 00:25:51,840 --> 00:25:56,520 Speaker 7: something to focus on in vaccine technology actually propelled a 402 00:25:56,560 --> 00:25:59,920 Speaker 7: lot of the research that resulted in the pandemic at 403 00:26:00,400 --> 00:26:05,359 Speaker 7: and so you couldn't have a more ironic and tragic 404 00:26:05,680 --> 00:26:10,159 Speaker 7: closed loop system where the research that was supposed to 405 00:26:10,200 --> 00:26:14,080 Speaker 7: prevent a pandemic ended up causing a pandemic for which 406 00:26:14,080 --> 00:26:17,720 Speaker 7: society was not prepared for. And then now we are 407 00:26:17,840 --> 00:26:21,600 Speaker 7: actually more at risk for another pandemic like the one 408 00:26:21,680 --> 00:26:24,760 Speaker 7: that just happened because we never told the truth about 409 00:26:24,800 --> 00:26:28,119 Speaker 7: how it happened. We never regulated a damn thing, And 410 00:26:28,160 --> 00:26:31,040 Speaker 7: in fact, the lie about natural origin led to even 411 00:26:31,080 --> 00:26:35,919 Speaker 7: more funding around researching viruses that come out of nature, 412 00:26:36,000 --> 00:26:38,520 Speaker 7: when in fact these viruses don't come out of nature, 413 00:26:38,760 --> 00:26:40,840 Speaker 7: and that the next killer is not going to be 414 00:26:40,880 --> 00:26:43,159 Speaker 7: a natural virus, it's going to be the result of 415 00:26:43,200 --> 00:26:45,320 Speaker 7: the same research that caused the last one. 416 00:26:45,520 --> 00:26:47,840 Speaker 6: So one of the things we always like to do 417 00:26:47,880 --> 00:26:50,600 Speaker 6: on this show is follow money trails, which is something 418 00:26:50,640 --> 00:26:53,160 Speaker 6: you do here, and that's what we're talking about right now. 419 00:26:53,640 --> 00:26:57,760 Speaker 6: Who were the individuals and companies that were inside that 420 00:26:57,840 --> 00:27:03,440 Speaker 6: web of profiting like to a ridiculous amount off of 421 00:27:03,560 --> 00:27:05,320 Speaker 6: this terrible thing that happened. 422 00:27:06,359 --> 00:27:10,960 Speaker 7: You have a cottage industry of scientists who their whole 423 00:27:11,000 --> 00:27:17,080 Speaker 7: careers were financed by Fauci's grants and by the other 424 00:27:17,960 --> 00:27:23,720 Speaker 7: accomplishments and accolades created from this type of research. And 425 00:27:23,800 --> 00:27:27,359 Speaker 7: of course those scientists on an individual level, they want 426 00:27:27,359 --> 00:27:30,040 Speaker 7: the research to continue. And then you go up the 427 00:27:30,119 --> 00:27:35,560 Speaker 7: ladder and you have different biomedical and biotech companies that 428 00:27:36,040 --> 00:27:41,200 Speaker 7: provide pieces of a vaccine or provide pieces of technology 429 00:27:41,600 --> 00:27:47,760 Speaker 7: that is very much benefited from this type of research continuing, 430 00:27:48,240 --> 00:27:51,600 Speaker 7: and you have them on the food chain. And as 431 00:27:51,640 --> 00:27:56,399 Speaker 7: you continue to go up, you have pharmaceutical companies specifically 432 00:27:56,560 --> 00:28:00,600 Speaker 7: in vaccine development, who almost all of their search is 433 00:28:00,680 --> 00:28:05,520 Speaker 7: subsidized by Anthony Fauci in the United States government. You know, 434 00:28:05,680 --> 00:28:09,160 Speaker 7: they're getting money from the United States government to do 435 00:28:09,200 --> 00:28:14,280 Speaker 7: this research and ultimately they profit from this research and 436 00:28:14,520 --> 00:28:18,240 Speaker 7: all of it is subsidized, so of course they're incentivized 437 00:28:18,280 --> 00:28:21,440 Speaker 7: to want this research to continue. And then you have 438 00:28:22,680 --> 00:28:26,320 Speaker 7: sort of an aspect of this equation that involves a 439 00:28:26,320 --> 00:28:29,840 Speaker 7: lot of money but is not meant to be seen 440 00:28:29,880 --> 00:28:33,560 Speaker 7: by the public. And that's the involvement of the intelligence community, 441 00:28:34,000 --> 00:28:39,400 Speaker 7: and that there's actually a connection between the intelligence community, 442 00:28:40,560 --> 00:28:46,560 Speaker 7: venture capital, this research, vaccine development, and biotech companies. And 443 00:28:46,600 --> 00:28:49,120 Speaker 7: so you have to ask yourself, how the hell is 444 00:28:49,160 --> 00:28:54,280 Speaker 7: that food chain all connected ethically and without raising extreme 445 00:28:54,440 --> 00:28:57,440 Speaker 7: suspicion from the average person, And there isn't a good 446 00:28:57,480 --> 00:28:58,040 Speaker 7: answer for. 447 00:28:58,040 --> 00:29:00,640 Speaker 3: It, And what else does it tell us about the 448 00:29:00,920 --> 00:29:04,160 Speaker 3: larger context. We're so glad you're bringing this part up 449 00:29:04,200 --> 00:29:07,680 Speaker 3: because this is a heck of a wrinkle. There is 450 00:29:07,840 --> 00:29:11,760 Speaker 3: an alleged devil's bargain. Or let me step back for 451 00:29:11,760 --> 00:29:14,640 Speaker 3: a second and just highlight the note you made their 452 00:29:14,760 --> 00:29:18,520 Speaker 3: Jenner about the funding and the origin of the funding. 453 00:29:18,920 --> 00:29:22,760 Speaker 3: Fellow American listeners, that means you paid for it. Just 454 00:29:22,800 --> 00:29:25,920 Speaker 3: a side note for that one. When we're talking about 455 00:29:26,160 --> 00:29:31,160 Speaker 3: intelligence agencies in Thank you, doctor Fauci, there is this 456 00:29:31,360 --> 00:29:34,440 Speaker 3: concept of what we could call a Faustian bargain, a 457 00:29:34,520 --> 00:29:38,960 Speaker 3: devil's bargain, the idea that the United States, through various 458 00:29:39,520 --> 00:29:44,440 Speaker 3: Matroshka dolls of interaction gave the nation of China incredibly 459 00:29:44,480 --> 00:29:48,880 Speaker 3: sophisticated technology and funded research. Tell us what you think 460 00:29:49,120 --> 00:29:51,520 Speaker 3: as a way of aiding their goal of spying on 461 00:29:51,640 --> 00:29:52,600 Speaker 3: Chinese labs. 462 00:29:53,200 --> 00:29:54,400 Speaker 4: Is that correct? 463 00:29:55,040 --> 00:29:58,400 Speaker 7: Well, yeah, of course that isn't the story that makes 464 00:29:58,400 --> 00:30:01,880 Speaker 7: the news. The story, sorry, that makes the news is 465 00:30:01,960 --> 00:30:04,440 Speaker 7: usually a story that doesn't even talk about that. But 466 00:30:05,000 --> 00:30:07,800 Speaker 7: if you look back at the news that was happening 467 00:30:07,880 --> 00:30:12,120 Speaker 7: around the time that the United States government was endorsing 468 00:30:12,120 --> 00:30:17,400 Speaker 7: and supporting this research, around twenty fourteen twenty fifteen, you'll 469 00:30:17,400 --> 00:30:22,480 Speaker 7: see this idea that science brings nations together, that science 470 00:30:22,640 --> 00:30:26,360 Speaker 7: is the great uniter, that like the International Space Station 471 00:30:26,520 --> 00:30:29,520 Speaker 7: for example, this is something that all of our great 472 00:30:29,560 --> 00:30:34,040 Speaker 7: scientists around the world can do benevolently, and this can aid, 473 00:30:34,280 --> 00:30:38,719 Speaker 7: you know, international relations. And the reality is one that 474 00:30:38,880 --> 00:30:42,840 Speaker 7: is far more sinister than that, and that when it 475 00:30:42,920 --> 00:30:47,240 Speaker 7: comes to the greatest threats to humanity, it isn't nuclear weapons. 476 00:30:47,400 --> 00:30:49,720 Speaker 7: It isn't what you see on the news about Iran 477 00:30:49,800 --> 00:30:53,920 Speaker 7: and its nuclear program. It's biological weapons. And the new 478 00:30:54,040 --> 00:30:57,800 Speaker 7: arms race that was taking place was between the United 479 00:30:57,840 --> 00:31:02,600 Speaker 7: States and China to world powers, one that was very 480 00:31:02,880 --> 00:31:05,800 Speaker 7: dominant in this space and another that wanted to catch 481 00:31:05,880 --> 00:31:09,960 Speaker 7: up China and wanted to advance an agenda and become 482 00:31:10,000 --> 00:31:13,200 Speaker 7: a leader in this space, and did not have the 483 00:31:13,240 --> 00:31:16,479 Speaker 7: same regulations as the United States and did not have 484 00:31:16,520 --> 00:31:21,360 Speaker 7: any interest in being compliant to the Bioweapons Treaty or 485 00:31:21,400 --> 00:31:25,000 Speaker 7: any of these other safeguards, and that they essentially the 486 00:31:25,040 --> 00:31:30,600 Speaker 7: intelligence shows that they set very ambitious goals. And this 487 00:31:30,800 --> 00:31:35,240 Speaker 7: was known in the intelligence community for years. And there 488 00:31:35,400 --> 00:31:41,400 Speaker 7: was sort of this problem in China where they didn't 489 00:31:41,640 --> 00:31:47,160 Speaker 7: have certain aspects of technology, they didn't have certain aspects 490 00:31:47,280 --> 00:31:51,280 Speaker 7: of intellectual property or talent who understood how to use 491 00:31:51,360 --> 00:31:56,440 Speaker 7: this technology. And they called that the stranglehold problem. And 492 00:31:56,720 --> 00:31:59,280 Speaker 7: they ended up partnering with the French to build out 493 00:31:59,280 --> 00:32:03,040 Speaker 7: the wuhanans to the Virology's Biosafety four lab. This was 494 00:32:03,120 --> 00:32:07,680 Speaker 7: the most sophisticated lab in China to handle the most 495 00:32:07,800 --> 00:32:12,280 Speaker 7: dangerous pathogens on the planet, and the French lent most 496 00:32:12,320 --> 00:32:16,960 Speaker 7: of their knowledge and a lot of the technological expertise 497 00:32:17,080 --> 00:32:21,000 Speaker 7: to build this lab, to train the Chinese on how 498 00:32:21,040 --> 00:32:26,800 Speaker 7: to operate the lab, and ultimately the French were kicked 499 00:32:26,800 --> 00:32:30,200 Speaker 7: out at the last second before the lab was ready 500 00:32:30,240 --> 00:32:33,480 Speaker 7: to be functional, and the Chinese assumed control of the lab, 501 00:32:33,920 --> 00:32:37,000 Speaker 7: and this sent signals I think in the intelligence community 502 00:32:37,120 --> 00:32:41,480 Speaker 7: that the Chinese intended to use the lab for bioweaponry 503 00:32:41,720 --> 00:32:47,360 Speaker 7: and for research that was adversarial in nature. And this 504 00:32:47,520 --> 00:32:49,680 Speaker 7: is around the same time that you see the funding 505 00:32:50,040 --> 00:32:54,200 Speaker 7: to that lab from the United States increase, and where 506 00:32:54,240 --> 00:32:59,480 Speaker 7: you see scientists who are highly suspicious individuals who run 507 00:32:59,600 --> 00:33:03,880 Speaker 7: quote on profits like Peter Dashik and Eco Health Alliance 508 00:33:04,360 --> 00:33:07,720 Speaker 7: start to do more research at Wuhan as a pass 509 00:33:07,840 --> 00:33:11,440 Speaker 7: through right, as essentially something that can receive money from 510 00:33:11,480 --> 00:33:14,720 Speaker 7: the United States government and then distribute it with even 511 00:33:14,840 --> 00:33:18,080 Speaker 7: less regulation than the government had at the time, which 512 00:33:18,160 --> 00:33:18,720 Speaker 7: was scammed. 513 00:33:18,760 --> 00:33:20,800 Speaker 5: So it's a way of conducting this kind of research 514 00:33:20,840 --> 00:33:23,600 Speaker 5: without being directly tied to it, or it's almost like 515 00:33:23,640 --> 00:33:26,520 Speaker 5: a loophole to get around like the Biological Weapons Convention, 516 00:33:26,680 --> 00:33:31,720 Speaker 5: which essentially prohibited development, production, acquisition, stockpiling of biological and 517 00:33:31,800 --> 00:33:34,480 Speaker 5: toxic weapons. Like is that the idea that this sort 518 00:33:34,520 --> 00:33:37,440 Speaker 5: of gives this layer of plausible deniability or what? 519 00:33:37,920 --> 00:33:40,280 Speaker 7: Yeah, that's exactly what it is, and that's what it 520 00:33:40,400 --> 00:33:43,520 Speaker 7: was from day one. So even before you have what 521 00:33:44,040 --> 00:33:48,240 Speaker 7: is going on in Wuhan around twenty seventeen, twenty eighteen. 522 00:33:48,480 --> 00:33:50,640 Speaker 7: You go all the way back to two thousand and one, 523 00:33:51,120 --> 00:33:54,120 Speaker 7: around the time of the anthrax attack, when you know 524 00:33:54,200 --> 00:33:57,400 Speaker 7: we began to do this research aggressively to make a 525 00:33:57,520 --> 00:34:03,960 Speaker 7: quote vaccine or to stock pile vaccines for potential weapons agents. 526 00:34:04,400 --> 00:34:09,719 Speaker 7: The loophole is by design in order to make a countermeasure, 527 00:34:10,360 --> 00:34:13,879 Speaker 7: you have to create the agent itself. And so as 528 00:34:13,960 --> 00:34:17,600 Speaker 7: long as your research is defensive in nature, it's permitted 529 00:34:17,880 --> 00:34:23,360 Speaker 7: in the Bioweapons Treaty. Or you can make defensive measures, 530 00:34:23,960 --> 00:34:27,800 Speaker 7: but those could involve the creation of an offensive agent 531 00:34:28,280 --> 00:34:29,480 Speaker 7: and that is kosher. 532 00:34:30,080 --> 00:34:33,239 Speaker 6: So let's talk about a very specific instance of this 533 00:34:33,440 --> 00:34:36,120 Speaker 6: that it's a proposal there comes to us in the 534 00:34:36,160 --> 00:34:39,880 Speaker 6: form of a proposal that was sent to DARPA in 535 00:34:39,960 --> 00:34:43,960 Speaker 6: twenty eighteen by EcoHealth Alliance. It was a proposal that 536 00:34:44,080 --> 00:34:47,239 Speaker 6: was rejected. I think you mentioned it in the documentary 537 00:34:47,440 --> 00:34:52,000 Speaker 6: as the Diffuse Proposal or what are they called DC 538 00:34:52,239 --> 00:34:53,439 Speaker 6: sign I believe. 539 00:34:53,360 --> 00:34:57,040 Speaker 7: No, it's the Yes, it's the Diffuse Proposal, which was 540 00:34:57,120 --> 00:35:01,799 Speaker 7: drafted by EcoHealth Alliance with the contryributions of Shijing Lie 541 00:35:02,239 --> 00:35:06,080 Speaker 7: at the Wuhan Institute of Virology and Ralph Barrick at 542 00:35:06,200 --> 00:35:10,080 Speaker 7: UNC Chapel Hill, and these are really the main players 543 00:35:10,120 --> 00:35:14,759 Speaker 7: in this story. Underneath Anthony Fauci is this web of 544 00:35:15,360 --> 00:35:19,640 Speaker 7: scientists who were doing research at Wuhan or who were 545 00:35:19,640 --> 00:35:24,480 Speaker 7: connected to Wuhan, And this proposal predates the pandemic and 546 00:35:24,600 --> 00:35:29,840 Speaker 7: outlines essentially a blueprint for how to create a virus 547 00:35:29,880 --> 00:35:34,920 Speaker 7: that looks identical to COVID nineteen in its sort of effect. 548 00:35:35,400 --> 00:35:40,120 Speaker 7: And of course plausible deniability is to you know, look 549 00:35:40,160 --> 00:35:43,799 Speaker 7: at every little nuance of the actual virus, which has 550 00:35:43,840 --> 00:35:47,719 Speaker 7: evolved countless time since it was released, and you know, 551 00:35:47,800 --> 00:35:50,439 Speaker 7: for people like Fauci to say that, well, this has 552 00:35:50,480 --> 00:35:53,800 Speaker 7: no connection whatsoever, and of course it was never funded, 553 00:35:54,160 --> 00:35:56,560 Speaker 7: which we also believe is a lie. 554 00:35:56,920 --> 00:35:57,400 Speaker 2: Exactly. 555 00:35:57,440 --> 00:36:01,400 Speaker 6: So this whole, this recent arch was meant to insert 556 00:36:01,440 --> 00:36:05,759 Speaker 6: fer and cleavage sites in SARS viruses, like, as you're saying, 557 00:36:05,760 --> 00:36:09,080 Speaker 6: a blueprint for what SARS cove two became. And I 558 00:36:09,280 --> 00:36:11,520 Speaker 6: can we just hit really quickly on why that fer 559 00:36:11,560 --> 00:36:15,200 Speaker 6: and cleavage site is so important to the genome organization 560 00:36:15,480 --> 00:36:16,480 Speaker 6: of this virus and. 561 00:36:17,000 --> 00:36:18,840 Speaker 4: What that is and what it might indicate. 562 00:36:19,320 --> 00:36:23,720 Speaker 7: Right, So, the what gain of function does over time 563 00:36:24,120 --> 00:36:30,080 Speaker 7: is identify different aspects of a virus or an organism 564 00:36:30,160 --> 00:36:33,960 Speaker 7: that contribute to a key function, and if you want 565 00:36:34,000 --> 00:36:36,360 Speaker 7: to add that function, if you want to gain a function, 566 00:36:37,000 --> 00:36:42,200 Speaker 7: you use certain attributes and fur and the fur and 567 00:36:42,360 --> 00:36:46,560 Speaker 7: cleavage site is very complex and something that I think 568 00:36:46,560 --> 00:36:50,359 Speaker 7: a layman may have trouble understanding. But the simplest way 569 00:36:50,400 --> 00:36:54,640 Speaker 7: to explain it is that this is a component that 570 00:36:54,840 --> 00:37:00,560 Speaker 7: was well known and understood to make viruses airborne, inspiratory 571 00:37:00,880 --> 00:37:04,360 Speaker 7: and very very infectious. So if you took a virus 572 00:37:04,400 --> 00:37:08,280 Speaker 7: that maybe didn't have an easy time transmitting in humans, 573 00:37:08,880 --> 00:37:11,719 Speaker 7: if you added a fer and cleavage site, you would 574 00:37:11,760 --> 00:37:15,920 Speaker 7: have a very infectious virus. And that I think is 575 00:37:16,000 --> 00:37:19,520 Speaker 7: really the first smoking gun in the story, because as 576 00:37:20,000 --> 00:37:23,600 Speaker 7: the outbreak is happening and as it's becoming a global pandemic, 577 00:37:24,120 --> 00:37:26,960 Speaker 7: the genetic sequence is released by the Chinese and it 578 00:37:27,000 --> 00:37:31,279 Speaker 7: has this immediate sore thumb sticking out, which is the 579 00:37:31,320 --> 00:37:34,680 Speaker 7: fer and cleavage site. Many scientists pointed to that, and 580 00:37:34,719 --> 00:37:38,920 Speaker 7: they looked at the genetic comparison of other coronaviruses that 581 00:37:39,000 --> 00:37:42,239 Speaker 7: were similar, and there were a lot of anomalies. The 582 00:37:42,239 --> 00:37:44,839 Speaker 7: most striking one was this fern cleavage site. It had 583 00:37:44,880 --> 00:37:49,239 Speaker 7: not existed in this way in any other virus and 584 00:37:49,480 --> 00:37:54,160 Speaker 7: essentially made a virus that would spring loaded to infect humans. 585 00:37:54,640 --> 00:37:59,279 Speaker 7: And so the whole logical, you know, explanation for this 586 00:37:59,400 --> 00:38:03,120 Speaker 7: being a natural virus started to fall away for a 587 00:38:03,120 --> 00:38:07,440 Speaker 7: lot of people, including doctor Bob Redfield, because you have 588 00:38:07,560 --> 00:38:11,319 Speaker 7: a virus that immediately is infecting humans, when if it 589 00:38:11,400 --> 00:38:14,560 Speaker 7: was natural, there would be several evolutions and there would 590 00:38:14,600 --> 00:38:19,360 Speaker 7: be a way to track those evolutions in other animals, 591 00:38:19,480 --> 00:38:24,279 Speaker 7: other host species, and ultimately into humans. And instead you 592 00:38:24,400 --> 00:38:28,520 Speaker 7: had a virus that wasn't even infecting bats, that was 593 00:38:28,560 --> 00:38:33,480 Speaker 7: being blamed on bats, but was essentially transmitting like wildfire. 594 00:38:34,040 --> 00:38:38,640 Speaker 7: Bob Redfield says he believes it's the second most infectious 595 00:38:39,120 --> 00:38:43,600 Speaker 7: virus in history, and it's being blamed on a bat 596 00:38:43,640 --> 00:38:45,880 Speaker 7: in a wet market and there isn't even evidence of 597 00:38:45,920 --> 00:38:50,200 Speaker 7: where that incident occurred. Meanwhile, by the time we were 598 00:38:50,239 --> 00:38:54,000 Speaker 7: reporting it, little did the world know this had spread 599 00:38:54,080 --> 00:38:59,080 Speaker 7: around the globe probably three times. That by January of 600 00:38:59,080 --> 00:39:02,560 Speaker 7: twenty twenty, this virus had most likely gone around the 601 00:39:02,600 --> 00:39:07,160 Speaker 7: globe multiple times. And so the fir and cleavage side 602 00:39:07,520 --> 00:39:10,640 Speaker 7: to kind of tie it all together. The reason why 603 00:39:10,760 --> 00:39:13,880 Speaker 7: this virus was so infectious, the reason why it was 604 00:39:13,920 --> 00:39:16,760 Speaker 7: an airborne virus, and the reason why it was so 605 00:39:16,840 --> 00:39:21,919 Speaker 7: suspicious is because it used this thing, this tool, this attribute, 606 00:39:22,160 --> 00:39:24,879 Speaker 7: which was well known and gain a function to make 607 00:39:24,920 --> 00:39:28,000 Speaker 7: it that way, and scientists on the inside knew that. 608 00:39:28,360 --> 00:39:32,319 Speaker 3: On day one, will pause here for a word from 609 00:39:32,320 --> 00:39:35,640 Speaker 3: our sponsor, and then we'll be back with more from Jenner. 610 00:39:35,680 --> 00:39:45,440 Speaker 8: First, and we've returned, let's jump right back into our 611 00:39:45,480 --> 00:39:46,800 Speaker 8: conversation with Jenner. 612 00:39:48,680 --> 00:39:51,200 Speaker 3: And this is where this is where we get to 613 00:39:51,880 --> 00:39:57,840 Speaker 3: the idea of narrative war. Right, you mentioned you mentioned 614 00:39:57,880 --> 00:40:01,719 Speaker 3: Dasik or Pete. Know him well enough to call Pete. 615 00:40:01,800 --> 00:40:05,959 Speaker 7: So it's a lot of different pronunciations. They have called 616 00:40:06,000 --> 00:40:11,839 Speaker 7: him doctor Evil. Yes, I believe the actual Foyas. There 617 00:40:11,840 --> 00:40:16,600 Speaker 7: are scientists who are making essentially a fraudulent science paper 618 00:40:16,920 --> 00:40:20,920 Speaker 7: who call him the Grand Wizard of phylogeny. He is 619 00:40:21,000 --> 00:40:24,239 Speaker 7: a quite a a interesting guy. 620 00:40:24,360 --> 00:40:28,480 Speaker 3: From the word right, sorry, and yeah, that that was 621 00:40:29,120 --> 00:40:32,840 Speaker 3: what you're referring to. There is a statement from Neil Harrison, 622 00:40:32,960 --> 00:40:35,680 Speaker 3: a PhD, who didn't want to use the F word, uh, 623 00:40:35,719 --> 00:40:38,960 Speaker 3: the F word being fraud. This is interesting, Jenner, because 624 00:40:39,120 --> 00:40:43,600 Speaker 3: we've we've already sort of alluded to this idea of 625 00:40:44,520 --> 00:40:49,120 Speaker 3: again narrative war of experts in their field, world class 626 00:40:49,160 --> 00:40:53,920 Speaker 3: experts who are somehow sidelined in the race to figure 627 00:40:53,920 --> 00:40:57,600 Speaker 3: out what the f is going on. With our guy 628 00:40:57,719 --> 00:41:03,040 Speaker 3: Pete here, I'm particularly interested in the role he played. 629 00:41:03,080 --> 00:41:05,680 Speaker 3: It seems like there are may be multiple roles in 630 00:41:05,880 --> 00:41:09,160 Speaker 3: getting together a group of scientists who would march in 631 00:41:09,360 --> 00:41:15,000 Speaker 3: lockstep with the wet market conclusion or the wet market theory. 632 00:41:15,080 --> 00:41:18,560 Speaker 3: And there's a lot of time spent in I mean, 633 00:41:18,719 --> 00:41:23,040 Speaker 3: you and your team and your partners find some pretty 634 00:41:23,719 --> 00:41:28,440 Speaker 3: disturbing internal communications. I'm thinking specifically about folks like the 635 00:41:28,480 --> 00:41:34,200 Speaker 3: investigative reporter Emily Copp leading so many charges on Foyer requests. 636 00:41:34,640 --> 00:41:37,719 Speaker 3: Could you tell us a little bit about why some 637 00:41:38,000 --> 00:41:42,640 Speaker 3: scientists felt they were excluded from this quote unquote inner 638 00:41:42,680 --> 00:41:49,200 Speaker 3: circle and why other scientists seemed to be totally fine 639 00:41:49,600 --> 00:41:52,400 Speaker 3: jumping on things like that open letter from the Lancet 640 00:41:52,480 --> 00:41:54,080 Speaker 3: in February of twenty twenty. 641 00:41:54,640 --> 00:42:01,400 Speaker 7: Well, I think that people like doctor Peter dash were 642 00:42:01,760 --> 00:42:08,880 Speaker 7: really the ones that were so compromised that it was 643 00:42:08,960 --> 00:42:11,279 Speaker 7: others who had to do the work of covering up 644 00:42:11,320 --> 00:42:15,360 Speaker 7: their mistake. Yet people like Dashik, of course, were out 645 00:42:15,480 --> 00:42:19,880 Speaker 7: in front with this natural origin theory, never disclosing to 646 00:42:19,920 --> 00:42:23,239 Speaker 7: anyone the work he had done at Wuhan, never disclosing, 647 00:42:23,680 --> 00:42:27,400 Speaker 7: of course, the proposal that outlined creating a virus that 648 00:42:27,440 --> 00:42:30,800 Speaker 7: looked identical to the one that was infecting people around 649 00:42:30,800 --> 00:42:34,080 Speaker 7: the world. And I think it's pretty obvious that the 650 00:42:34,160 --> 00:42:37,200 Speaker 7: folks on the inner circle, when you do the actual 651 00:42:37,920 --> 00:42:41,000 Speaker 7: digging on these folks, they all had conflicts of interest. 652 00:42:41,040 --> 00:42:45,880 Speaker 7: They either received money directly from Anthony Fauci's agency in 653 00:42:45,920 --> 00:42:49,760 Speaker 7: the United States government to do research involving gain of function, 654 00:42:50,040 --> 00:42:54,839 Speaker 7: which was of course the most controversial aspect of this 655 00:42:55,000 --> 00:42:58,520 Speaker 7: research that people like Fauci did not want to talk about. 656 00:42:59,040 --> 00:43:01,759 Speaker 7: And many of these people who signed the Lancet letter, 657 00:43:01,840 --> 00:43:08,040 Speaker 7: for example, have direct ties to even vaccine technology, biotechnology research, 658 00:43:08,400 --> 00:43:15,400 Speaker 7: pharmaceutical companies. And so you see this media campaign essentially 659 00:43:15,600 --> 00:43:18,040 Speaker 7: for three months straight, and this is while the virus 660 00:43:18,560 --> 00:43:21,160 Speaker 7: is continuing to spread around the world, and this is 661 00:43:21,200 --> 00:43:27,799 Speaker 7: while we are confounded by the virus's attributes and we 662 00:43:27,840 --> 00:43:29,960 Speaker 7: don't know what it's doing and we don't know how 663 00:43:30,000 --> 00:43:33,880 Speaker 7: to treat it. And of course that is a horrible, 664 00:43:34,160 --> 00:43:39,080 Speaker 7: horrible misleading idea here that we don't know about this virus, 665 00:43:39,120 --> 00:43:43,520 Speaker 7: because there was research into this virus and aspects of 666 00:43:43,560 --> 00:43:47,960 Speaker 7: this virus and the virus's attributes for close to a decade, 667 00:43:48,560 --> 00:43:51,880 Speaker 7: and if there had been an honest conversation amongst all 668 00:43:51,920 --> 00:43:54,799 Speaker 7: of these scientists, and if they had been willing to 669 00:43:54,880 --> 00:43:58,160 Speaker 7: acknowledge what was staring them right in the face, which 670 00:43:58,360 --> 00:44:01,640 Speaker 7: was evidence that this had and manipulated in the lab, 671 00:44:02,360 --> 00:44:06,000 Speaker 7: evidence that many of the grants, I mean many grants, 672 00:44:06,280 --> 00:44:10,120 Speaker 7: like over twenty grants to the Wuhan Institute of Virology, 673 00:44:10,600 --> 00:44:14,520 Speaker 7: to doctor Ralph Barrick at UNC, to a lot of 674 00:44:14,560 --> 00:44:19,040 Speaker 7: other scientists who were actually involved in these teleconferences would 675 00:44:19,280 --> 00:44:23,040 Speaker 7: tell you how this virus behaves and would give you 676 00:44:23,280 --> 00:44:28,760 Speaker 7: a leg up for treating this virus, including countermeasures which 677 00:44:29,000 --> 00:44:33,600 Speaker 7: were somewhat successful at treating the virus that were not vaccines. 678 00:44:34,080 --> 00:44:38,640 Speaker 7: And yet for months, there's one story that's hitting the airwaves. 679 00:44:38,960 --> 00:44:42,319 Speaker 7: The virus is natural. It just hit us and you know, 680 00:44:42,440 --> 00:44:44,960 Speaker 7: out of the blues, smacked us in the face. And 681 00:44:45,040 --> 00:44:47,440 Speaker 7: we've been warning you about this type of you know, 682 00:44:47,600 --> 00:44:51,480 Speaker 7: natural phenomenon for decades now, and it's exactly why we 683 00:44:51,600 --> 00:44:54,560 Speaker 7: do this dangerous research so that we can understand these 684 00:44:54,600 --> 00:44:56,400 Speaker 7: things that are just going to come out of nature, 685 00:44:56,800 --> 00:44:59,400 Speaker 7: like you know, a bolt from above, and we're just 686 00:44:59,440 --> 00:45:02,319 Speaker 7: scrambling to figure it out. So please be patient and 687 00:45:02,360 --> 00:45:05,520 Speaker 7: trust the science because we're just trying to figure it 688 00:45:05,520 --> 00:45:07,799 Speaker 7: out right now. And it was actually the opposite. The 689 00:45:07,840 --> 00:45:11,000 Speaker 7: only thing they were trying to figure out was how 690 00:45:11,040 --> 00:45:15,560 Speaker 7: to carry out a cover up which would essentially obscure 691 00:45:16,440 --> 00:45:20,320 Speaker 7: or hide all of the connections that these individuals had 692 00:45:20,640 --> 00:45:24,560 Speaker 7: for years to this work and all of the culpability 693 00:45:24,600 --> 00:45:28,840 Speaker 7: that they had for the pandemic happening. But the problem 694 00:45:29,000 --> 00:45:33,680 Speaker 7: is unlike a traditional fraud or a traditional crime, where 695 00:45:33,680 --> 00:45:36,640 Speaker 7: you can really narrow down a set of suspects and 696 00:45:36,680 --> 00:45:39,239 Speaker 7: you can, you know, put culpability down to you know, 697 00:45:39,280 --> 00:45:42,239 Speaker 7: who drove the getaway car and who held the gun. 698 00:45:42,400 --> 00:45:45,719 Speaker 2: And you know rode proximal origin, right, you know. 699 00:45:45,719 --> 00:45:49,919 Speaker 7: Who who covered for who? And you know you can 700 00:45:50,080 --> 00:45:53,040 Speaker 7: you know, get people in even a rico case like 701 00:45:53,080 --> 00:45:54,799 Speaker 7: in the mafia. You know, you can put a bunch 702 00:45:54,840 --> 00:45:58,840 Speaker 7: of things together. This makes the average mafia case, you know, 703 00:45:59,040 --> 00:46:03,239 Speaker 7: look like child's play. I mean, this is levels and 704 00:46:03,360 --> 00:46:09,280 Speaker 7: levels of culpability, of connection, of benefit, of potential harm 705 00:46:09,760 --> 00:46:14,680 Speaker 7: to sectors that or lobbies that have extreme power in 706 00:46:14,680 --> 00:46:19,040 Speaker 7: the United States. You have a lot of people all 707 00:46:19,320 --> 00:46:23,480 Speaker 7: standing to lose something from telling the truth, and you 708 00:46:23,600 --> 00:46:27,680 Speaker 7: have a lot of people all standing to gain something 709 00:46:28,080 --> 00:46:32,000 Speaker 7: from telling a lie. And so you just have a 710 00:46:32,080 --> 00:46:36,520 Speaker 7: perfect storm and ultimately a crime that becomes too big 711 00:46:36,880 --> 00:46:39,719 Speaker 7: to prosecute. And that's where we are now. But these 712 00:46:39,719 --> 00:46:43,279 Speaker 7: individuals did the early work, and these individuals set the 713 00:46:43,320 --> 00:46:47,680 Speaker 7: stage and created the master narrative, the big lie that 714 00:46:47,719 --> 00:46:51,320 Speaker 7: would get repeated for years and ultimately got the media 715 00:46:51,400 --> 00:46:54,880 Speaker 7: in line and got even the United States government under 716 00:46:54,920 --> 00:46:59,640 Speaker 7: Donald Trump in line to enact this cover up and 717 00:46:59,719 --> 00:47:04,480 Speaker 7: to essentially launch warp speed and to give these pharmaceutical 718 00:47:04,520 --> 00:47:09,120 Speaker 7: companies complete and total protection, no liability for damage, and 719 00:47:09,320 --> 00:47:12,120 Speaker 7: all of it, all of it was based on a lie. 720 00:47:12,760 --> 00:47:15,719 Speaker 7: And if we are to really step back and look 721 00:47:15,760 --> 00:47:18,520 Speaker 7: at that, the damage is inconceivable. 722 00:47:20,480 --> 00:47:22,960 Speaker 6: I'd love to name some of those guys, just put 723 00:47:22,960 --> 00:47:26,480 Speaker 6: it like, do we have a list of people from 724 00:47:26,520 --> 00:47:31,799 Speaker 6: like those early slack communications and those early connections that 725 00:47:31,840 --> 00:47:34,440 Speaker 6: we could just say their names here where people should 726 00:47:34,480 --> 00:47:35,239 Speaker 6: start looking up. 727 00:47:35,760 --> 00:47:42,759 Speaker 7: Of course, so you have an initial flurry of emails 728 00:47:42,800 --> 00:47:48,880 Speaker 7: between Sir Jeremy Farrar Fauci and Francis Collins, who is 729 00:47:48,960 --> 00:47:53,600 Speaker 7: the director of the NIH, ostensibly Fauci's boss, although Fauci 730 00:47:53,640 --> 00:47:56,359 Speaker 7: has been there a lot longer and appears to have 731 00:47:56,400 --> 00:48:02,320 Speaker 7: a lot more power. These three individuals represent nearly seventy 732 00:48:02,360 --> 00:48:05,120 Speaker 7: five billion dollars in funding every year. 733 00:48:05,440 --> 00:48:05,800 Speaker 4: Wow. 734 00:48:05,840 --> 00:48:10,000 Speaker 7: And Jeremy Farrar is like Fauci's equivalent in the UK. 735 00:48:10,760 --> 00:48:14,480 Speaker 7: He was the director of the Welcome Trust and that 736 00:48:14,800 --> 00:48:18,560 Speaker 7: was one of the largest funders of biomedical research in Europe. 737 00:48:19,280 --> 00:48:22,400 Speaker 7: And these individuals were corresponding on emails for which you 738 00:48:22,480 --> 00:48:27,839 Speaker 7: can see just Google. Emails between Anthony Fauci and Jeremy Farrar. 739 00:48:28,120 --> 00:48:30,799 Speaker 4: Heavily redacted though right, I mean, isn't that well. 740 00:48:30,840 --> 00:48:34,000 Speaker 7: Originally they were heavily redacted, which is something that was 741 00:48:34,040 --> 00:48:38,440 Speaker 7: of course very suspicious, especially how long they were requested. 742 00:48:38,480 --> 00:48:41,680 Speaker 7: In the first batch that was released was redacted, but 743 00:48:41,680 --> 00:48:44,719 Speaker 7: by now these emails have been unredacted because there was 744 00:48:44,719 --> 00:48:47,840 Speaker 7: no legal reason why they should have been redacted in 745 00:48:47,880 --> 00:48:51,600 Speaker 7: the first place. And the essentially the NIH was engaging 746 00:48:51,640 --> 00:48:57,080 Speaker 7: in obstruction of justice and essentially continuing and cover up 747 00:48:57,520 --> 00:49:01,320 Speaker 7: despite the fact that they legally needed to release this information. 748 00:49:01,400 --> 00:49:05,600 Speaker 7: But back to the story, So in early January, right 749 00:49:05,640 --> 00:49:08,239 Speaker 7: after New Year's Eve, you see a flurry of emails 750 00:49:08,400 --> 00:49:14,480 Speaker 7: and then you see scientists start to have conversations amongst 751 00:49:14,480 --> 00:49:19,080 Speaker 7: each other after this genetic sequence is released to the public, 752 00:49:19,120 --> 00:49:22,719 Speaker 7: and that's in early January, January eleventh, and by the 753 00:49:22,719 --> 00:49:27,040 Speaker 7: twenty seventh of January, Fauci gets contacted by a scientist 754 00:49:27,200 --> 00:49:32,960 Speaker 7: named Christian Anderson. And Anderson is based in California and 755 00:49:33,120 --> 00:49:36,880 Speaker 7: does a lot of research on viruses like a bola 756 00:49:37,000 --> 00:49:43,000 Speaker 7: and lassa. He worked for worked with a laboratory in 757 00:49:43,320 --> 00:49:49,120 Speaker 7: West Africa called the Viral Hemorrhagic Fever Consortium, and he 758 00:49:50,440 --> 00:49:54,240 Speaker 7: contacts Fauci and says, you know, this fern cleavage side 759 00:49:54,760 --> 00:49:58,160 Speaker 7: is very suspicious and this looks like it may have 760 00:49:58,200 --> 00:50:00,080 Speaker 7: come from a lab. And by the way, I I 761 00:50:00,160 --> 00:50:06,759 Speaker 7: found these grants that basically show almost instructions and or 762 00:50:06,920 --> 00:50:11,600 Speaker 7: components of this virus, and they were funded by the 763 00:50:11,719 --> 00:50:16,759 Speaker 7: ni AID and the work happened with Ralph Barrick back 764 00:50:16,760 --> 00:50:20,680 Speaker 7: in twenty fourteen, in twenty fifteen, and Fauci responds by 765 00:50:20,719 --> 00:50:24,000 Speaker 7: saying something along the lines of you know, if this 766 00:50:24,160 --> 00:50:26,840 Speaker 7: is true, then you know you should contact the FBI. 767 00:50:27,520 --> 00:50:32,360 Speaker 7: Right Meanwhile, you know Fauci is continuing to field panic 768 00:50:32,840 --> 00:50:36,279 Speaker 7: and start to do some damage control. And then on 769 00:50:36,360 --> 00:50:39,680 Speaker 7: the thirty first of January, you've had all these emails, 770 00:50:39,719 --> 00:50:41,680 Speaker 7: this kind of concern that this is going to get 771 00:50:41,719 --> 00:50:44,320 Speaker 7: out of control and that there needs to be essentially 772 00:50:44,400 --> 00:50:47,799 Speaker 7: a story right now because this could affect a lot 773 00:50:47,840 --> 00:50:51,040 Speaker 7: of us, and you're not going to see them, you know, 774 00:50:51,440 --> 00:50:56,000 Speaker 7: dump their guts on emails because they are seasoned bureaucrats. 775 00:50:56,000 --> 00:50:58,120 Speaker 7: I mean, it's like the Mafia. They don't talk on 776 00:50:58,160 --> 00:51:01,200 Speaker 7: the phone, watch the soprano, and Tony doesn't let you 777 00:51:01,280 --> 00:51:04,560 Speaker 7: say anything on his house line. Fauci was the same 778 00:51:04,560 --> 00:51:07,200 Speaker 7: way about his email account. I mean, if anything, he 779 00:51:07,280 --> 00:51:10,200 Speaker 7: put things in his email to try to protect himself 780 00:51:10,480 --> 00:51:13,440 Speaker 7: to make it seem like he had genuine concern or 781 00:51:13,600 --> 00:51:16,880 Speaker 7: genuine he was genuinely trying to get to the bottom 782 00:51:16,960 --> 00:51:18,960 Speaker 7: of what happened, as if he didn't know already. 783 00:51:19,160 --> 00:51:22,000 Speaker 3: Oh geez, says the guy A dressed as the hot dog. 784 00:51:22,200 --> 00:51:23,480 Speaker 3: It could have been anybody. 785 00:51:23,480 --> 00:51:27,040 Speaker 5: That's just basic corporate training etiquette, you know, for email, 786 00:51:27,640 --> 00:51:30,040 Speaker 5: like our lawyers for our company, like tell us the 787 00:51:30,040 --> 00:51:32,359 Speaker 5: exact same thing. Be really careful about what you say, 788 00:51:32,400 --> 00:51:34,520 Speaker 5: because that's the stuff that gets pulled in for lawsuits 789 00:51:34,600 --> 00:51:36,520 Speaker 5: is usually this kind of email conversation. 790 00:51:36,640 --> 00:51:39,600 Speaker 7: And imagine that times ten, because now you're dealing with 791 00:51:39,760 --> 00:51:46,000 Speaker 7: American bureaucracy and the federal government and Congress and all 792 00:51:46,040 --> 00:51:49,400 Speaker 7: of these things that Fauci was well aware of. So however, 793 00:51:49,440 --> 00:51:52,759 Speaker 7: he you know, got there whatever. You know, however he 794 00:51:52,840 --> 00:51:55,640 Speaker 7: scraped his knee in the past, he was very well 795 00:51:55,640 --> 00:51:58,880 Speaker 7: aware on how to discuss things over email. Although he 796 00:51:58,920 --> 00:52:01,160 Speaker 7: made a lot of mistakes. And if you hadn't made 797 00:52:01,200 --> 00:52:03,759 Speaker 7: those mistakes, we wouldn't be here right now. There's still 798 00:52:03,840 --> 00:52:07,759 Speaker 7: plenty in those emails that's suspicious and that raises a 799 00:52:07,840 --> 00:52:11,680 Speaker 7: lot of questions. But you have this turning point, and 800 00:52:11,760 --> 00:52:18,280 Speaker 7: you have these conversations happening online amongst accomplished scientists, scientists 801 00:52:18,320 --> 00:52:22,359 Speaker 7: who have a background in this field and who can 802 00:52:22,640 --> 00:52:25,560 Speaker 7: call it like it is and look at this genetic 803 00:52:25,640 --> 00:52:32,400 Speaker 7: sequence and google and use the research databases that they exist, 804 00:52:33,160 --> 00:52:36,880 Speaker 7: and go and find grants that are doing research that 805 00:52:37,200 --> 00:52:41,279 Speaker 7: is very suspicious compared to the outbreak and in the 806 00:52:41,320 --> 00:52:44,160 Speaker 7: location where the outbreak happened. And so this is starting 807 00:52:44,200 --> 00:52:48,000 Speaker 7: to crescendo. And then on the thirty first of January, 808 00:52:48,440 --> 00:52:51,319 Speaker 7: there is a number of different articles that come out, 809 00:52:51,680 --> 00:52:55,879 Speaker 7: but there is a preprint of a paper, and this 810 00:52:56,120 --> 00:53:02,440 Speaker 7: paper advances the original suspicion that existed and says, yes, 811 00:53:02,560 --> 00:53:05,920 Speaker 7: there is a fern cleavage side, but there are three 812 00:53:06,120 --> 00:53:11,399 Speaker 7: other regions of this genetic sequence that are suspicious and 813 00:53:11,440 --> 00:53:16,480 Speaker 7: do not seem natural. And we have found in our 814 00:53:16,719 --> 00:53:21,080 Speaker 7: crunch of the genetic sequence, in comparison to all the 815 00:53:21,120 --> 00:53:26,719 Speaker 7: other genetic sequences that exist for these viruses, we have 816 00:53:26,840 --> 00:53:34,520 Speaker 7: found fragments that are suspiciously similar to HIV. And this 817 00:53:34,640 --> 00:53:38,920 Speaker 7: is when the panic begins to articulate and get even 818 00:53:39,000 --> 00:53:45,640 Speaker 7: more frenzied, and Fauci is up late at night scheduling 819 00:53:45,680 --> 00:53:51,799 Speaker 7: an emergency teleconference. And by this point Bob Redfield has 820 00:53:51,840 --> 00:53:55,759 Speaker 7: had numerous conversations with Anthony Fauci. He's the director of 821 00:53:55,840 --> 00:54:00,200 Speaker 7: the CDC, and he has talked to Fauci directly about 822 00:54:00,560 --> 00:54:03,839 Speaker 7: his feelings about this virus. That he felt it came 823 00:54:03,880 --> 00:54:07,280 Speaker 7: from the lab in Wuhan, that he felt it wasn't natural, 824 00:54:07,719 --> 00:54:10,040 Speaker 7: that he felt it was spreading in a way that 825 00:54:10,239 --> 00:54:15,040 Speaker 7: was uncontrollable for a natural virus, and that he also 826 00:54:15,480 --> 00:54:18,600 Speaker 7: was aware of research that was funded by the United 827 00:54:18,600 --> 00:54:22,600 Speaker 7: States at the lab to do work that may result 828 00:54:22,680 --> 00:54:26,399 Speaker 7: in a pandemic just like this. And on that night 829 00:54:26,719 --> 00:54:32,640 Speaker 7: of frenzied emails inviting scientists like Christian Anderson, who at 830 00:54:32,640 --> 00:54:35,839 Speaker 7: first was somewhat of a whistleblower, who shows up saying, hey, 831 00:54:36,320 --> 00:54:39,400 Speaker 7: you know, doctor Fauci, this virus doesn't look natural. And 832 00:54:39,440 --> 00:54:43,400 Speaker 7: doctor Fauci goes, that's, you know, great observation, you know, 833 00:54:43,600 --> 00:54:47,879 Speaker 7: doctor Anderson. Well, if it's true, let's call the FBI. Well, 834 00:54:48,080 --> 00:54:52,439 Speaker 7: Anderson gets invited to this teleconference, along with a lot 835 00:54:52,480 --> 00:54:56,000 Speaker 7: of other scientists that have a lot to lose if 836 00:54:56,040 --> 00:55:00,680 Speaker 7: Gain of Function has another scandal. But the CDs director, 837 00:55:01,040 --> 00:55:05,759 Speaker 7: doctor Bob Redfield, does not get invited to the emergency teleconference. 838 00:55:06,200 --> 00:55:10,080 Speaker 7: And so you have the director of the NIH, Francis Collins. 839 00:55:10,080 --> 00:55:13,359 Speaker 7: You have Jeremy Farrar, the guy who is you know, 840 00:55:13,480 --> 00:55:18,280 Speaker 7: the Fauci of Europe. And you have these scientists who 841 00:55:18,800 --> 00:55:22,360 Speaker 7: do this work, in fact, are famous for this work. 842 00:55:22,719 --> 00:55:26,080 Speaker 6: I'm gonna put these names, Robert Gary, Eddie Holmes, a 843 00:55:26,080 --> 00:55:26,880 Speaker 6: couple of dudes. 844 00:55:27,400 --> 00:55:33,799 Speaker 7: Christian Anderson loops in three scientists that he works closely with, 845 00:55:34,560 --> 00:55:38,719 Speaker 7: and those scientists are doctor Bob Gary, who also does 846 00:55:38,719 --> 00:55:41,840 Speaker 7: a lot of work in West Africa around viruses like 847 00:55:41,960 --> 00:55:45,480 Speaker 7: Abola and LASSA, and even did a lot of research 848 00:55:45,920 --> 00:55:50,480 Speaker 7: around AIDS and HIV starting in the nineties. And you 849 00:55:50,600 --> 00:55:55,880 Speaker 7: have Eddie Holmes and Andrew Rambo. Again, these are scientists 850 00:55:55,880 --> 00:56:00,239 Speaker 7: who have been in the community for a while doing 851 00:56:00,280 --> 00:56:04,040 Speaker 7: this type of work themselves, but also have ties going 852 00:56:04,080 --> 00:56:07,799 Speaker 7: all the way back to the HIV research being done 853 00:56:07,800 --> 00:56:11,880 Speaker 7: in the nineties to try to understand origin and understand 854 00:56:11,920 --> 00:56:15,399 Speaker 7: the virus better. These were people that Fauci knew, that 855 00:56:15,800 --> 00:56:20,200 Speaker 7: Fauci had funded, and whose work he was familiar with. 856 00:56:20,800 --> 00:56:25,120 Speaker 7: And you have some scientists who really have no reason 857 00:56:25,200 --> 00:56:28,600 Speaker 7: for being there. The only reason they maybe were there 858 00:56:28,800 --> 00:56:33,320 Speaker 7: were to argue why this was or wasn't gain of function, 859 00:56:33,440 --> 00:56:36,160 Speaker 7: why this was or wasn't a lab league. But they 860 00:56:36,200 --> 00:56:40,200 Speaker 7: weren't doing that objectively because this scientist, for example, this 861 00:56:40,280 --> 00:56:44,400 Speaker 7: guy Ron Fuchier, was one of the most controversial scientists 862 00:56:44,400 --> 00:56:47,879 Speaker 7: in gain of function today. He had been funded by 863 00:56:48,120 --> 00:56:52,920 Speaker 7: Fauci to make avian flu bird flu airborne, and bird 864 00:56:52,920 --> 00:56:56,840 Speaker 7: flu has like a fatality rate that can be anywhere 865 00:56:56,840 --> 00:57:01,080 Speaker 7: between ten percent and fifty percent. There has never been 866 00:57:01,640 --> 00:57:05,120 Speaker 7: a huge human to human spread of bird flu it 867 00:57:05,160 --> 00:57:08,360 Speaker 7: doesnatural right, it does, Yeah. 868 00:57:08,239 --> 00:57:09,080 Speaker 4: Jenna really quickly. 869 00:57:09,520 --> 00:57:13,520 Speaker 5: Fauci in a press conference references a paper or a 870 00:57:13,600 --> 00:57:16,880 Speaker 5: study that is he, as far as he's concerned, is 871 00:57:16,920 --> 00:57:19,440 Speaker 5: proof positive that no lab leak occurred, that this was, 872 00:57:19,760 --> 00:57:24,120 Speaker 5: you know, something that supported the wuhan wet market narrative. 873 00:57:24,280 --> 00:57:26,880 Speaker 5: But he's like, I don't remember the names, and it 874 00:57:26,960 --> 00:57:31,240 Speaker 5: seems really so it's odd and it's just I don't know, Yes, 875 00:57:31,640 --> 00:57:32,919 Speaker 5: what's very od. 876 00:57:33,080 --> 00:57:34,720 Speaker 4: Does he ever actually drop what it is? 877 00:57:34,920 --> 00:57:36,240 Speaker 5: Like, do you guys get to the bottom of that 878 00:57:36,360 --> 00:57:37,720 Speaker 5: or is it just sort of a vague statement. 879 00:57:37,760 --> 00:57:43,120 Speaker 7: Okay, you know, you rewind three months and those scientists 880 00:57:43,160 --> 00:57:45,800 Speaker 7: who he says he doesn't have the names of are 881 00:57:45,840 --> 00:57:50,080 Speaker 7: the ones that he summons to an emergency teleconference on 882 00:57:50,280 --> 00:57:54,520 Speaker 7: January thirty. First, he begins the emails. On February second, 883 00:57:54,640 --> 00:57:58,440 Speaker 7: that teleconference happens. So you're referring to a press conference 884 00:57:58,520 --> 00:58:02,960 Speaker 7: in April where Trump was present and where there is 885 00:58:03,000 --> 00:58:05,360 Speaker 7: a lot of concern now about this being a lab leak. 886 00:58:05,960 --> 00:58:09,320 Speaker 7: And Fauci holds up a paper. It's called the Proximal 887 00:58:09,360 --> 00:58:13,320 Speaker 7: Origin of Stars KOV two. That paper was written by 888 00:58:13,400 --> 00:58:18,280 Speaker 7: Christian Anderson, Bob Gary Andrew Rambo and Eddie Holmes. There 889 00:58:18,320 --> 00:58:20,920 Speaker 7: were a bunch of other writers, but those four guys 890 00:58:21,360 --> 00:58:25,760 Speaker 7: happened to be in the teleconference. On February second, there's 891 00:58:25,760 --> 00:58:28,640 Speaker 7: another teleconference that we didn't even know about that happened. 892 00:58:29,120 --> 00:58:33,120 Speaker 7: It's February first that this teleconference happened, So if you 893 00:58:33,200 --> 00:58:36,320 Speaker 7: have to go back, and the date is February first, 894 00:58:37,160 --> 00:58:40,760 Speaker 7: Fauci is panicked on the thirty first of January, and 895 00:58:40,800 --> 00:58:44,840 Speaker 7: by the first of February he gets everybody together for 896 00:58:44,880 --> 00:58:49,760 Speaker 7: a teleconference. On February third, there's another teleconference, and this 897 00:58:49,800 --> 00:58:52,400 Speaker 7: one actually includes some of the scientists who may be 898 00:58:52,520 --> 00:58:56,120 Speaker 7: responsible for the pandemic. And this was never disclosed to 899 00:58:56,160 --> 00:59:00,360 Speaker 7: the public, and these scientists were never even credited on 900 00:59:00,480 --> 00:59:05,160 Speaker 7: that proximal origin paper. And essentially you had scientists who 901 00:59:05,240 --> 00:59:08,960 Speaker 7: were either famous for gain of function research and or 902 00:59:09,560 --> 00:59:12,960 Speaker 7: involved in the actual creation of a virus that may 903 00:59:12,960 --> 00:59:17,080 Speaker 7: have caused this pandemic, who are present and who are 904 00:59:17,280 --> 00:59:22,960 Speaker 7: interfacing with scientists who are writing a scientific paper to 905 00:59:23,200 --> 00:59:26,360 Speaker 7: prove that this did not happen in a lab and 906 00:59:26,400 --> 00:59:29,040 Speaker 7: that this was natural. And so you can't think of 907 00:59:29,240 --> 00:59:32,520 Speaker 7: a more suspicious set of facts than that. 908 00:59:32,960 --> 00:59:35,080 Speaker 3: And I think that's I think you put it very 909 00:59:35,120 --> 00:59:39,160 Speaker 3: fairly there. At multiple points. We'd love to ask a 910 00:59:39,200 --> 00:59:41,959 Speaker 3: personal question of you generate if it's all right here? 911 00:59:42,280 --> 00:59:42,680 Speaker 7: Sure? 912 00:59:42,800 --> 00:59:43,240 Speaker 4: All right? 913 00:59:43,360 --> 00:59:47,040 Speaker 3: So what are so You're coming into this like so 914 00:59:47,240 --> 00:59:51,400 Speaker 3: many other people across the planet during the let's say, 915 00:59:51,400 --> 00:59:55,240 Speaker 3: the emergence of public knowledge of COVID right if we 916 00:59:55,280 --> 01:00:01,080 Speaker 3: want to be technically accurate there, when you have dived 917 01:00:01,160 --> 01:00:06,200 Speaker 3: into this, are there questions that you personally right now 918 01:00:06,560 --> 01:00:10,880 Speaker 3: would like answered or questions that remain unanswered at the 919 01:00:10,880 --> 01:00:14,320 Speaker 3: culmination of your research here? And then secondly, I just 920 01:00:14,480 --> 01:00:18,120 Speaker 3: we just have to ask, man, did you ever feel 921 01:00:18,280 --> 01:00:22,200 Speaker 3: that you were in danger looking into this or ever 922 01:00:22,880 --> 01:00:25,480 Speaker 3: in fear of some some kind of possible reprisal. 923 01:00:26,600 --> 01:00:31,320 Speaker 7: Yeah, I've been. I've told stories where I feared for 924 01:00:31,480 --> 01:00:34,560 Speaker 7: my life, and I've told a few of them, and 925 01:00:35,000 --> 01:00:39,560 Speaker 7: the nature of the threat was different each time. And 926 01:00:39,640 --> 01:00:43,160 Speaker 7: I think when you go against the intelligence community, or 927 01:00:43,200 --> 01:00:47,080 Speaker 7: you go against the pharmaceutical industry, you can find yourself 928 01:00:47,120 --> 01:00:50,600 Speaker 7: in the crosshairs. But in my experience, in my you 929 01:00:50,640 --> 01:00:55,320 Speaker 7: know understanding the space that unfortunately it's the bravest and 930 01:00:55,400 --> 01:00:59,400 Speaker 7: the first to respond, the first to break important information 931 01:00:59,520 --> 01:01:02,680 Speaker 7: or even I witnesses whistleblowers. They're the ones who die first. 932 01:01:02,680 --> 01:01:05,520 Speaker 7: They're the ones who were killed first. And I was 933 01:01:05,600 --> 01:01:09,800 Speaker 7: coming to this story late, but I was the aggregator. 934 01:01:09,880 --> 01:01:12,440 Speaker 7: I was the person connecting a lot of this research 935 01:01:12,480 --> 01:01:15,480 Speaker 7: and a lot of these sources together. And I quickly 936 01:01:15,560 --> 01:01:18,440 Speaker 7: realized that I was being monitored, or at least I 937 01:01:18,440 --> 01:01:21,720 Speaker 7: felt I was being monitored. There were weird things happening 938 01:01:21,760 --> 01:01:25,960 Speaker 7: with my devices, and I had some very strange zoom 939 01:01:26,000 --> 01:01:28,600 Speaker 7: calls that you know, I was getting thumbs up and 940 01:01:28,680 --> 01:01:32,280 Speaker 7: balloons and all sorts of things on very bizarre lines. 941 01:01:32,400 --> 01:01:37,160 Speaker 7: And I started to have an evolution where I understood 942 01:01:37,160 --> 01:01:40,360 Speaker 7: that maybe I was being monitored, but that it appeared 943 01:01:40,360 --> 01:01:45,840 Speaker 7: that who was monitoring me was in support of my thesis, 944 01:01:46,480 --> 01:01:49,680 Speaker 7: and that it was a very bizarre thing that happened. 945 01:01:49,760 --> 01:01:51,920 Speaker 7: And so I began to realize that I was not 946 01:01:52,680 --> 01:01:55,040 Speaker 7: going to be killed, and I was not at risk 947 01:01:55,080 --> 01:01:58,760 Speaker 7: of being killed, and that kind of melodramatic story that journalists, 948 01:01:58,800 --> 01:02:01,640 Speaker 7: you know, like to tell case I was. I was safe, 949 01:02:02,280 --> 01:02:05,640 Speaker 7: but that the greatest risk for someone like me is 950 01:02:05,680 --> 01:02:09,920 Speaker 7: that there will be people who come into your life 951 01:02:10,520 --> 01:02:14,040 Speaker 7: and convince you that they have a lot of evidence 952 01:02:14,040 --> 01:02:16,040 Speaker 7: that you should know about, or that you need to 953 01:02:16,120 --> 01:02:19,160 Speaker 7: talk to this one person because this one person has 954 01:02:19,160 --> 01:02:23,120 Speaker 7: it figured out, or actually it's not Anthony Fauci, it's 955 01:02:23,160 --> 01:02:27,440 Speaker 7: Francis Collins, or it's not that it's this, or you know, 956 01:02:28,440 --> 01:02:31,320 Speaker 7: that is the risk because for someone like me, who 957 01:02:31,360 --> 01:02:35,120 Speaker 7: you can google and who has reached, you know, over 958 01:02:35,160 --> 01:02:38,160 Speaker 7: a billion people, with my work has been seen by 959 01:02:38,200 --> 01:02:41,440 Speaker 7: over a billion people, It's been on major platforms. That 960 01:02:41,560 --> 01:02:44,200 Speaker 7: the name of the game is not killing me because 961 01:02:44,200 --> 01:02:46,880 Speaker 7: my crew is too big, and that it's too many 962 01:02:46,880 --> 01:02:49,160 Speaker 7: people know I'm making this movie. The name of the 963 01:02:49,200 --> 01:02:52,400 Speaker 7: game is misleading me and getting me to include information 964 01:02:52,480 --> 01:02:55,640 Speaker 7: that isn't true. And what I began to understand is 965 01:02:55,680 --> 01:03:00,920 Speaker 7: that I was being supported by people potentially within the CIA, 966 01:03:01,520 --> 01:03:05,600 Speaker 7: and I had a background source in the CIA whom 967 01:03:05,720 --> 01:03:09,640 Speaker 7: I cannot disclose any information about. But what I can 968 01:03:09,720 --> 01:03:15,800 Speaker 7: say about this individual is that they endorsed and supported 969 01:03:16,600 --> 01:03:20,120 Speaker 7: the data that I had collected and the hypothesis that 970 01:03:20,200 --> 01:03:23,960 Speaker 7: I had formed around this data, and that they believed 971 01:03:24,040 --> 01:03:26,560 Speaker 7: that I was on the right track, and that the 972 01:03:26,680 --> 01:03:30,560 Speaker 7: biggest thing they wanted people to know and the American 973 01:03:30,600 --> 01:03:33,920 Speaker 7: public to know is that most of the people in 974 01:03:33,960 --> 01:03:39,480 Speaker 7: these agencies, the FBI, the NSA, the CIA, the DoD. 975 01:03:40,520 --> 01:03:43,800 Speaker 7: These are patriots, for lack of a better word, people 976 01:03:43,800 --> 01:03:47,000 Speaker 7: that believe they're serving our country and that they're protecting 977 01:03:47,080 --> 01:03:50,160 Speaker 7: us from threats that will never know, and that they 978 01:03:50,200 --> 01:03:55,800 Speaker 7: believe that they're honest people and they're hardworking people, and 979 01:03:55,840 --> 01:03:58,640 Speaker 7: that the corruption is really at the top, and that 980 01:03:58,680 --> 01:04:01,760 Speaker 7: they want more than any thing for that corruption to 981 01:04:01,800 --> 01:04:06,280 Speaker 7: be routed out, for that corruption to be annihilated. And 982 01:04:06,360 --> 01:04:09,240 Speaker 7: so I found by the end of the story that 983 01:04:09,400 --> 01:04:12,120 Speaker 7: the people that I may fear the most, you know, 984 01:04:12,200 --> 01:04:15,000 Speaker 7: the CIA, you know the intelligence community, they're the ones 985 01:04:15,000 --> 01:04:19,160 Speaker 7: who are going to off me, were actually individuals who 986 01:04:19,360 --> 01:04:23,640 Speaker 7: supported my efforts. And that was the big twist for 987 01:04:23,720 --> 01:04:27,280 Speaker 7: me when I realized that this was a story that 988 01:04:27,840 --> 01:04:31,000 Speaker 7: made for a lot of strange bedfellows and created strong 989 01:04:31,760 --> 01:04:38,120 Speaker 7: alliances and strong collaborations across political lines, across agency lines, 990 01:04:38,920 --> 01:04:43,240 Speaker 7: and that a lot of these people were simply soldiers 991 01:04:43,320 --> 01:04:47,479 Speaker 7: of the truth. And I found myself in a similar role. 992 01:04:47,680 --> 01:04:50,400 Speaker 7: And I think it'll be a war that I'm fighting 993 01:04:50,400 --> 01:04:52,880 Speaker 7: for the rest of my life at this point, because 994 01:04:53,440 --> 01:04:56,120 Speaker 7: the folks on the other side are quite powerful and 995 01:04:56,160 --> 01:04:58,680 Speaker 7: they have a lot of tricks and things are actually 996 01:04:58,760 --> 01:05:01,919 Speaker 7: just getting started. So I hate to say something like that. 997 01:05:02,320 --> 01:05:04,240 Speaker 7: I hate to say that, oh, we figured out the 998 01:05:04,280 --> 01:05:07,800 Speaker 7: truth now and there's there's protections in place and this 999 01:05:07,840 --> 01:05:11,560 Speaker 7: won't happen again. It's it's the opposite. And you asked 1000 01:05:11,600 --> 01:05:14,640 Speaker 7: me what did I learn? What did I discover? You know, 1001 01:05:14,720 --> 01:05:18,360 Speaker 7: from making this movie. I learned how much I don't know, 1002 01:05:18,920 --> 01:05:22,360 Speaker 7: and I am hungry to learn more about what happened 1003 01:05:22,680 --> 01:05:26,560 Speaker 7: with COVID. But watch for the biggest distraction. The biggest 1004 01:05:26,560 --> 01:05:30,760 Speaker 7: distraction is going to be the quote smoking gun. And 1005 01:05:30,800 --> 01:05:33,840 Speaker 7: the reason why that's the biggest distraction. You know, when 1006 01:05:33,880 --> 01:05:37,200 Speaker 7: did the virus leak? What is the incident that caused 1007 01:05:37,400 --> 01:05:41,200 Speaker 7: that leak, What is the exact composition of that virus, 1008 01:05:41,200 --> 01:05:44,720 Speaker 7: and the proof that that composition was man made? You'll 1009 01:05:44,800 --> 01:05:48,800 Speaker 7: never find that, Okay, you will never find that. The 1010 01:05:48,880 --> 01:05:52,480 Speaker 7: serological data about the virus was never released from the Chinese. 1011 01:05:52,880 --> 01:05:56,560 Speaker 7: We don't know what the earliest you know, illness look like. 1012 01:05:56,840 --> 01:05:59,480 Speaker 7: We have a genetic sequence, which is essentially just a 1013 01:05:59,520 --> 01:06:05,000 Speaker 7: computer set of letters, right, And the reason why that 1014 01:06:05,520 --> 01:06:09,240 Speaker 7: so much attention is put on the exact origin of 1015 01:06:09,280 --> 01:06:12,200 Speaker 7: this virus is because that's the part that the most 1016 01:06:12,240 --> 01:06:16,040 Speaker 7: powerful and sinister individuals know that they've gotten away with. 1017 01:06:16,560 --> 01:06:19,920 Speaker 7: The prime that you can prove right now is that 1018 01:06:19,960 --> 01:06:22,880 Speaker 7: there was a cover up, and that the individuals engage 1019 01:06:22,880 --> 01:06:25,120 Speaker 7: in a cover up are engaged in a lot of 1020 01:06:25,160 --> 01:06:29,880 Speaker 7: sinister activities around the globe. That these activities involve war games, 1021 01:06:30,280 --> 01:06:36,560 Speaker 7: that they involve pharmaceutical industry essentially abusing the public for years, 1022 01:06:37,000 --> 01:06:40,400 Speaker 7: and they involve what could be another pandemic that will 1023 01:06:40,400 --> 01:06:44,840 Speaker 7: cause even more societal change, even more profit, and even 1024 01:06:45,080 --> 01:06:49,600 Speaker 7: more I think, destruction to the fabric of our world. 1025 01:06:50,080 --> 01:06:52,720 Speaker 7: And that is the thing that we need to focus 1026 01:06:52,800 --> 01:06:55,360 Speaker 7: on right now. We need to focus on the clear 1027 01:06:55,480 --> 01:07:00,200 Speaker 7: evidence that a bird flu will likely emerge sometime very soon. 1028 01:07:00,520 --> 01:07:02,680 Speaker 7: You can see the fingerprints in the media. You can 1029 01:07:02,720 --> 01:07:06,160 Speaker 7: see stories about bird flu emerging in cow milk and 1030 01:07:06,800 --> 01:07:10,320 Speaker 7: crossing over. And that's a distraction. In fact, I think 1031 01:07:10,400 --> 01:07:14,160 Speaker 7: that is them perfecting their toolbox because the last time 1032 01:07:14,200 --> 01:07:18,200 Speaker 7: they did this it didn't work okay, and proximal origin 1033 01:07:18,320 --> 01:07:21,160 Speaker 7: was too obvious, and the wet market was too obvious 1034 01:07:21,200 --> 01:07:23,440 Speaker 7: of a lie. And now for months now we've been 1035 01:07:23,440 --> 01:07:27,040 Speaker 7: seeing about, you know, bird flu crossing over in these 1036 01:07:27,120 --> 01:07:31,360 Speaker 7: isolated instances, and that is really preparing the stage for 1037 01:07:31,480 --> 01:07:34,200 Speaker 7: the next pandemic and for us to believe that it 1038 01:07:34,240 --> 01:07:37,640 Speaker 7: was natural. It will not be a natural pandemic. It 1039 01:07:37,680 --> 01:07:40,440 Speaker 7: will be a man made pandemic. And that is what 1040 01:07:40,480 --> 01:07:43,800 Speaker 7: we should be focusing on. So watch carefully. If you 1041 01:07:43,880 --> 01:07:47,320 Speaker 7: continue to see a story emerge about the exact you know, 1042 01:07:47,440 --> 01:07:50,720 Speaker 7: genetic proof that the virus came from a lab, you 1043 01:07:50,800 --> 01:07:53,840 Speaker 7: are actually being distracted because that is the part that 1044 01:07:53,880 --> 01:07:56,880 Speaker 7: they are most confident about. They are most confident that 1045 01:07:56,920 --> 01:07:59,520 Speaker 7: you'll never be able to prove that. That's why Anthony 1046 01:07:59,520 --> 01:08:03,320 Speaker 7: Faucis stood there with so much bravado and so much 1047 01:08:03,360 --> 01:08:06,160 Speaker 7: confidence in front of Congress because he knew he got 1048 01:08:06,200 --> 01:08:08,880 Speaker 7: away with that part. This is the part they didn't 1049 01:08:08,880 --> 01:08:12,080 Speaker 7: get away with. They covered it up. The evidence is there, 1050 01:08:12,200 --> 01:08:15,040 Speaker 7: it's right in front of us. That's the crime. And 1051 01:08:15,080 --> 01:08:17,719 Speaker 7: the next crime is going to be ten times bigger 1052 01:08:17,760 --> 01:08:18,639 Speaker 7: than the last one. 1053 01:08:18,760 --> 01:08:20,400 Speaker 3: What a mic drop Well said. 1054 01:08:21,200 --> 01:08:24,679 Speaker 6: Just to put this in perspective, Jenner, Roughly, when did 1055 01:08:24,720 --> 01:08:27,560 Speaker 6: you interview doctor Redfield? 1056 01:08:29,240 --> 01:08:34,120 Speaker 7: I interviewed Redfield in February of twenty twenty four. Okay, 1057 01:08:34,160 --> 01:08:37,960 Speaker 7: so I began working on this project in December of 1058 01:08:38,000 --> 01:08:42,000 Speaker 7: twenty twenty three, and I fell down the rabbit hole 1059 01:08:42,080 --> 01:08:45,240 Speaker 7: and began interviewing folks and had done most of my 1060 01:08:45,360 --> 01:08:48,160 Speaker 7: interviews by the spring the end of the spring of 1061 01:08:48,200 --> 01:08:49,040 Speaker 7: twenty twenty four. 1062 01:08:49,240 --> 01:08:52,320 Speaker 6: Okay, because I just something that rings in my head 1063 01:08:52,320 --> 01:08:55,120 Speaker 6: all the time is his statements about bird flu and 1064 01:08:55,439 --> 01:08:57,160 Speaker 6: again thinking about what we see in the news with 1065 01:08:57,280 --> 01:09:00,320 Speaker 6: H five N one and how Redfield seem to be 1066 01:09:00,439 --> 01:09:03,120 Speaker 6: very confident that bird flu is the thing that is 1067 01:09:03,120 --> 01:09:06,160 Speaker 6: coming for us next. I think he uses the word 1068 01:09:06,200 --> 01:09:10,759 Speaker 6: premonition or something to that effect, but ultimately he sees 1069 01:09:10,840 --> 01:09:14,960 Speaker 6: that as the thing that's coming that is really I mean, 1070 01:09:15,040 --> 01:09:17,040 Speaker 6: you have that belief now as well, because we've been 1071 01:09:17,080 --> 01:09:19,240 Speaker 6: talking about on the show, and it does just feel 1072 01:09:19,280 --> 01:09:23,120 Speaker 6: like a strange set of circumstances. 1073 01:09:22,360 --> 01:09:24,960 Speaker 5: Statistical service with some of the little stories we've been seeing, 1074 01:09:25,040 --> 01:09:27,920 Speaker 5: right the coble drips and drabs of cases kind of 1075 01:09:27,960 --> 01:09:28,679 Speaker 5: on the upswing. 1076 01:09:28,800 --> 01:09:34,479 Speaker 7: Yeah, and even there has been an increased funding for 1077 01:09:34,640 --> 01:09:38,479 Speaker 7: gain of function or gain of function adjacent work on 1078 01:09:38,840 --> 01:09:43,479 Speaker 7: avian flus since the pandemic, and that individuals who were 1079 01:09:43,520 --> 01:09:48,759 Speaker 7: in that teleconference are the most famous individuals for setting 1080 01:09:48,800 --> 01:09:52,200 Speaker 7: the stage for that bird flu pandemic, that man made 1081 01:09:52,920 --> 01:09:57,720 Speaker 7: catastrophe to hit the public, that individuals in the teleconference 1082 01:09:57,760 --> 01:10:02,080 Speaker 7: with Fauci and the others of COVID. So you have 1083 01:10:02,160 --> 01:10:05,439 Speaker 7: to ask yourself, you know, once you can see this puzzle, 1084 01:10:05,720 --> 01:10:09,120 Speaker 7: because that's the part that they work so hard on, 1085 01:10:09,640 --> 01:10:12,400 Speaker 7: is for you not to have the puzzle pieces. And 1086 01:10:12,439 --> 01:10:14,880 Speaker 7: that's what the film does. And if you think you 1087 01:10:15,000 --> 01:10:18,160 Speaker 7: know the story of COVID, you don't because I made 1088 01:10:18,280 --> 01:10:22,040 Speaker 7: a documentary about it and sipped through three hundred thousand 1089 01:10:22,080 --> 01:10:24,920 Speaker 7: pages of evidence and I still don't know the exact 1090 01:10:24,960 --> 01:10:27,919 Speaker 7: story of COVID. And if you think you're over COVID, 1091 01:10:28,360 --> 01:10:31,840 Speaker 7: that is a manipulation. You are being conditioned to think 1092 01:10:31,880 --> 01:10:34,840 Speaker 7: you were over COVID so that the crime is never 1093 01:10:35,000 --> 01:10:38,439 Speaker 7: solved and so that when the next one happens, you 1094 01:10:38,920 --> 01:10:43,040 Speaker 7: will forget what happened this time. So when you see 1095 01:10:43,080 --> 01:10:45,479 Speaker 7: people who are in a malaise and don't want to 1096 01:10:45,520 --> 01:10:49,640 Speaker 7: talk about COVID, COVID's over. The pandemic's over. The pandemic 1097 01:10:49,720 --> 01:10:53,479 Speaker 7: ain't over, Okay, We're all suffering from one form of 1098 01:10:53,560 --> 01:10:57,000 Speaker 7: long COVID or another. And I know that sounds crazy 1099 01:10:57,200 --> 01:10:59,960 Speaker 7: for all of us who think we're healthy. This virus 1100 01:11:00,120 --> 01:11:04,080 Speaker 7: continues to affect our bodies years later. This virus may 1101 01:11:04,080 --> 01:11:07,080 Speaker 7: have pieces of HIV in it. This virus has caused 1102 01:11:07,120 --> 01:11:13,880 Speaker 7: a mass autoimmune dysregulation in the public of the planet. Okay. 1103 01:11:14,040 --> 01:11:17,439 Speaker 5: Isn't it also true that doctor Redfield's specialty for his 1104 01:11:17,560 --> 01:11:19,799 Speaker 5: private practice now is long COVID. 1105 01:11:20,200 --> 01:11:25,120 Speaker 7: Doctor Redfield's now specializing in long COVID, and this was 1106 01:11:25,240 --> 01:11:28,920 Speaker 7: I think the full circle for him. You know, he 1107 01:11:29,080 --> 01:11:32,479 Speaker 7: was there in the early days and now he treats 1108 01:11:32,520 --> 01:11:35,679 Speaker 7: people with long COVID. And I think again, a huge 1109 01:11:35,800 --> 01:11:42,839 Speaker 7: distinction between doctor Redfield and doctor Fauci is that doctor 1110 01:11:42,880 --> 01:11:48,480 Speaker 7: Redfield is a doctor, okay, and doctor Fauci is a bureaucrat. 1111 01:11:49,320 --> 01:11:54,760 Speaker 7: And doctor Redfield cares about patients, and doctor Fauci is 1112 01:11:54,800 --> 01:11:58,840 Speaker 7: still concerned with his power and his legacy and probably 1113 01:11:58,880 --> 01:12:02,519 Speaker 7: getting final payment for his deeds which couldn't have been 1114 01:12:02,720 --> 01:12:07,320 Speaker 7: issued during his time in government. He received roughly seven 1115 01:12:07,479 --> 01:12:11,519 Speaker 7: million dollars in security from the United States government after 1116 01:12:11,600 --> 01:12:17,280 Speaker 7: he retired annually. Okay, more than that. And long COVID 1117 01:12:17,720 --> 01:12:21,600 Speaker 7: and vaccine injuries which are very similar to long COVID 1118 01:12:21,800 --> 01:12:26,240 Speaker 7: will continue to haunt us for years. Some of us 1119 01:12:26,320 --> 01:12:28,679 Speaker 7: will struggle with this for the rest of our lives. 1120 01:12:29,000 --> 01:12:32,200 Speaker 7: Redfield and others believe they can actually reverse a lot 1121 01:12:32,200 --> 01:12:36,760 Speaker 7: of this, and that it's not some complex, high cost medicine. 1122 01:12:36,760 --> 01:12:42,120 Speaker 7: It's actually enhanced antihistamines and you know, anti clotting agents 1123 01:12:42,160 --> 01:12:45,439 Speaker 7: and doing MRIs to learn where blood clots may be 1124 01:12:45,560 --> 01:12:48,799 Speaker 7: happening in your body and essentially helping the immune system 1125 01:12:48,880 --> 01:12:52,760 Speaker 7: regulate again. And you know, this is a frightening thing 1126 01:12:52,840 --> 01:12:55,519 Speaker 7: for a lot of people. But while I was making 1127 01:12:55,560 --> 01:12:58,519 Speaker 7: the movie, the person who I had hired to be 1128 01:12:58,600 --> 01:13:02,080 Speaker 7: my main researcher dropped out within a week because she 1129 01:13:02,160 --> 01:13:05,519 Speaker 7: had aggressive stage three breast cancer out of nowhere. She 1130 01:13:05,600 --> 01:13:09,880 Speaker 7: was in her early thirties. One of my producers, their 1131 01:13:09,920 --> 01:13:14,719 Speaker 7: mother died right before production of an aggressive lung cancer 1132 01:13:15,040 --> 01:13:17,679 Speaker 7: that went from zero to stage four out of nowhere. 1133 01:13:17,880 --> 01:13:19,960 Speaker 7: She went to an urgent care because she thought she 1134 01:13:20,000 --> 01:13:23,000 Speaker 7: had pneumonia. She never went home. She was unconscious within 1135 01:13:23,040 --> 01:13:26,040 Speaker 7: a couple weeks and dead. My partner and my company 1136 01:13:26,160 --> 01:13:29,160 Speaker 7: while we were making this movie. His mother died of 1137 01:13:29,200 --> 01:13:32,760 Speaker 7: a sudden heart attack, and he is confident with his 1138 01:13:32,840 --> 01:13:35,960 Speaker 7: other siblings that that was caused by a blood clot 1139 01:13:36,320 --> 01:13:40,760 Speaker 7: that was essentially a reaction to the vaccine or the virus. 1140 01:13:41,040 --> 01:13:46,000 Speaker 7: I have two relatives right now with aggressive cancers that 1141 01:13:46,120 --> 01:13:49,599 Speaker 7: got them out of nowhere right after the pandemic. Now, 1142 01:13:49,640 --> 01:13:53,519 Speaker 7: if that sounds familiar to you, and you notice that 1143 01:13:53,560 --> 01:13:56,519 Speaker 7: there are people in your community that are sick or 1144 01:13:56,640 --> 01:13:59,640 Speaker 7: drop dead or that have cancers in ways that you 1145 01:13:59,680 --> 01:14:03,600 Speaker 7: didn't noticed before, I think it's time to ask ourselves 1146 01:14:03,640 --> 01:14:07,160 Speaker 7: those hard questions, and that if we think we're over COVID, 1147 01:14:08,120 --> 01:14:12,639 Speaker 7: we're just fulfilling the propaganda that was fed to us, 1148 01:14:12,680 --> 01:14:15,160 Speaker 7: and we're actually feeding it to each other. That was 1149 01:14:15,200 --> 01:14:18,000 Speaker 7: the scariest part for me. It's not that I was 1150 01:14:18,080 --> 01:14:22,320 Speaker 7: the victim of state sponsored or corporate sponsored propaganda. It 1151 01:14:22,439 --> 01:14:26,040 Speaker 7: was that it was so effective that I was feeding 1152 01:14:26,040 --> 01:14:28,920 Speaker 7: it to others organically, others were feeding it to me, 1153 01:14:29,280 --> 01:14:31,240 Speaker 7: and that I'd be willing to have a fight at 1154 01:14:31,240 --> 01:14:35,040 Speaker 7: the dinner table when the person that I was likely 1155 01:14:35,120 --> 01:14:38,759 Speaker 7: defending was the United States government or a pharmaceutical company. 1156 01:14:38,800 --> 01:14:41,559 Speaker 7: Think about that. Think when you fight about this and 1157 01:14:41,600 --> 01:14:44,800 Speaker 7: you think it's political, think who taught you how to 1158 01:14:44,840 --> 01:14:47,920 Speaker 7: feel that way and who gave you the playbook, And 1159 01:14:48,040 --> 01:14:50,360 Speaker 7: think of the fact that instead of them paying for it. 1160 01:14:50,640 --> 01:14:53,280 Speaker 7: You're not even being paid, you're not an influencer, you're 1161 01:14:53,280 --> 01:14:56,599 Speaker 7: not carrying that message out. It's so damn effective that 1162 01:14:56,680 --> 01:15:00,160 Speaker 7: we spread it amongst each other. That's how affect of 1163 01:15:00,200 --> 01:15:03,679 Speaker 7: this propaganda is, is that we spread it amongst each other. 1164 01:15:03,800 --> 01:15:07,360 Speaker 7: And that's like, you know, Hitler level propaganda. Okay, that's 1165 01:15:07,439 --> 01:15:11,280 Speaker 7: like that's that's another level and we're all suffering from it, 1166 01:15:11,320 --> 01:15:16,240 Speaker 7: and we need to wake up. This is something that democrats, leftists, progressives, 1167 01:15:16,600 --> 01:15:18,559 Speaker 7: all the people who have been fighting for you know, 1168 01:15:18,680 --> 01:15:23,000 Speaker 7: government reform and consumer protection, wake up. This is our 1169 01:15:23,120 --> 01:15:26,320 Speaker 7: fight too. This is not just conservatives and people on 1170 01:15:26,360 --> 01:15:29,200 Speaker 7: the right. In fact, the political nature of this is 1171 01:15:29,240 --> 01:15:32,760 Speaker 7: the core manipulation. It's not political. It affects everyone on 1172 01:15:32,800 --> 01:15:36,280 Speaker 7: the planet, and only the one percent of one percent benefit. Well, 1173 01:15:36,320 --> 01:15:39,080 Speaker 7: the ninety nine point nine percent of us get harmed. 1174 01:15:39,320 --> 01:15:41,200 Speaker 7: It's time to tell the truth now. 1175 01:15:41,479 --> 01:15:47,679 Speaker 3: And propaganda is viral when successful propaganda only acknowledges any 1176 01:15:47,960 --> 01:15:52,720 Speaker 3: ideology in such that it allows that propaganda to further communicate. 1177 01:15:53,160 --> 01:15:57,280 Speaker 3: I think these are very real, very dangerous questions, and 1178 01:15:57,320 --> 01:15:59,400 Speaker 3: there are questions that need to be asked a lot 1179 01:15:59,400 --> 01:16:02,800 Speaker 3: of times. To your point, Jedter about the nature of 1180 01:16:02,880 --> 01:16:06,800 Speaker 3: mass media communication, We the public are taught that an 1181 01:16:06,840 --> 01:16:10,360 Speaker 3: answer should be simple, an answer should be deliverable within 1182 01:16:10,439 --> 01:16:14,160 Speaker 3: three to five minutes. You get the answer, you feel better. 1183 01:16:14,439 --> 01:16:17,800 Speaker 3: You move on to the next thing, be that celebrity scandal, 1184 01:16:18,160 --> 01:16:21,200 Speaker 3: or be that to the next crisis. So we cannot 1185 01:16:21,240 --> 01:16:23,840 Speaker 3: thank you enough. There is so much that we have 1186 01:16:24,040 --> 01:16:28,280 Speaker 3: not been able to get to. But thankfully again, guys, yeah, 1187 01:16:29,640 --> 01:16:35,639 Speaker 3: just part one right, it's a seriously thank you. You're 1188 01:16:35,680 --> 01:16:36,920 Speaker 3: being so generous with your. 1189 01:16:36,840 --> 01:16:39,880 Speaker 6: Time here, man, I gotta tell you. When we started rolling, 1190 01:16:40,600 --> 01:16:43,400 Speaker 6: I got a message from an unknown number that just 1191 01:16:43,439 --> 01:16:47,240 Speaker 6: says hello, And just now I got another message from 1192 01:16:47,240 --> 01:16:49,519 Speaker 6: another unknown number that just says hello. 1193 01:16:51,760 --> 01:16:52,920 Speaker 7: They don't want you to know. 1194 01:16:57,360 --> 01:17:00,280 Speaker 3: Before we get black bagged again. We want to thank 1195 01:17:00,320 --> 01:17:04,200 Speaker 3: you Jenner so much, not just for thank you, mister Fauci, 1196 01:17:04,720 --> 01:17:09,320 Speaker 3: but for all your additional work, and perhaps most importantly, 1197 01:17:09,560 --> 01:17:13,040 Speaker 3: for continuing to spread awareness and continuing to be a 1198 01:17:13,080 --> 01:17:17,960 Speaker 3: clarion call for these very difficult questions. Could you tell 1199 01:17:18,280 --> 01:17:21,639 Speaker 3: our audience and everybody else who wants to learn more 1200 01:17:21,760 --> 01:17:24,360 Speaker 3: where they can learn more about you and your work. 1201 01:17:25,000 --> 01:17:29,720 Speaker 7: Well, you know, my work exists on major platforms like Netflix, 1202 01:17:29,760 --> 01:17:35,640 Speaker 7: and Amazon and Hulu and Paramount Plus. But this particular film, 1203 01:17:36,040 --> 01:17:38,960 Speaker 7: the greatest way to learn about it is through our website, 1204 01:17:39,400 --> 01:17:41,639 Speaker 7: and you won't find it in a lot of media 1205 01:17:41,720 --> 01:17:45,439 Speaker 7: reporting right now because it's actually a tough subject for 1206 01:17:45,479 --> 01:17:47,960 Speaker 7: the media because they were involved in helping to cover 1207 01:17:48,000 --> 01:17:50,160 Speaker 7: it up. So I want to give credit to you, guys, 1208 01:17:50,600 --> 01:17:54,920 Speaker 7: because as a purveyor of truth, as a podcast that 1209 01:17:55,040 --> 01:17:58,160 Speaker 7: has listened to by many people, you are doing the 1210 01:17:58,200 --> 01:18:01,720 Speaker 7: good work right now and help this story get out 1211 01:18:01,840 --> 01:18:05,719 Speaker 7: because we have experienced a media blackout for almost four 1212 01:18:05,760 --> 01:18:09,360 Speaker 7: weeks now. Press release went out to five thousand outlets, 1213 01:18:09,680 --> 01:18:15,519 Speaker 7: and no major outlet, no international outlet, no big national 1214 01:18:15,560 --> 01:18:19,439 Speaker 7: news outlet covered the story to date. And so I 1215 01:18:19,479 --> 01:18:21,840 Speaker 7: want to thank you for having me. People who want 1216 01:18:21,840 --> 01:18:24,800 Speaker 7: to learn about this film can go to thank you 1217 01:18:24,920 --> 01:18:28,920 Speaker 7: Doctor faucimovie dot com and that all of the ways 1218 01:18:28,920 --> 01:18:32,280 Speaker 7: to watch the film are there. That our social profile 1219 01:18:32,720 --> 01:18:35,880 Speaker 7: on x is really the best way to stay connected. 1220 01:18:36,200 --> 01:18:39,479 Speaker 7: You know, that's the only platform really allowing for a 1221 01:18:39,520 --> 01:18:42,040 Speaker 7: free and open debate right now and where we have 1222 01:18:42,160 --> 01:18:45,280 Speaker 7: the most presence, So you can find us on XSet. 1223 01:18:45,280 --> 01:18:49,280 Speaker 7: Thank you Doctor Fauci, and you can find always to 1224 01:18:49,360 --> 01:18:55,240 Speaker 7: watch this movie at thank you doctor faucimovie dot com. 1225 01:18:55,280 --> 01:18:59,320 Speaker 3: What a ride, you guys. I know we've all seen 1226 01:18:59,400 --> 01:19:02,680 Speaker 3: the documentary here again, as we were saying, there was 1227 01:19:03,040 --> 01:19:06,160 Speaker 3: much much more to the story, but I think we 1228 01:19:06,280 --> 01:19:10,880 Speaker 3: unanimously commend Jenner and his team for the research they've done. 1229 01:19:10,960 --> 01:19:13,720 Speaker 5: Yeah, haven't hypen it up to some pals since we 1230 01:19:13,800 --> 01:19:15,360 Speaker 5: did the interview? It really you know, I mean it's 1231 01:19:15,360 --> 01:19:17,160 Speaker 5: one of those things too, where it's just like, these 1232 01:19:17,200 --> 01:19:19,920 Speaker 5: are things that all of us have thought about, and 1233 01:19:20,200 --> 01:19:22,760 Speaker 5: he gives so much credence to a lot of these 1234 01:19:24,040 --> 01:19:27,479 Speaker 5: these narratives, it's really hard to ignore at the very least, 1235 01:19:27,560 --> 01:19:31,160 Speaker 5: thinking about what some alternatives could be to the narrative 1236 01:19:31,160 --> 01:19:33,280 Speaker 5: that has been sort of more or less forced down 1237 01:19:33,479 --> 01:19:35,719 Speaker 5: the throat of the American people. 1238 01:19:36,200 --> 01:19:39,880 Speaker 6: It does make me wonder how many people actually clicked 1239 01:19:39,880 --> 01:19:42,519 Speaker 6: on this episode and have made it this far because 1240 01:19:42,640 --> 01:19:46,360 Speaker 6: this is such a politically charged topic, or you know, 1241 01:19:46,400 --> 01:19:49,439 Speaker 6: it was turned into such a political topic rather than 1242 01:19:49,479 --> 01:19:50,520 Speaker 6: a science. 1243 01:19:50,400 --> 01:19:53,280 Speaker 3: Topic, right, a narrative war. 1244 01:19:53,479 --> 01:19:56,599 Speaker 6: Yeah, Yeah, So I hope anybody who's still around in 1245 01:19:56,680 --> 01:20:00,439 Speaker 6: hearing this right now is fully considering this stuff. Look 1246 01:20:00,479 --> 01:20:02,960 Speaker 6: at it on your own. That's kind of what the 1247 01:20:03,000 --> 01:20:03,880 Speaker 6: whole point of this is. 1248 01:20:04,800 --> 01:20:08,000 Speaker 3: Yeah, and I believe that we all on the show 1249 01:20:08,160 --> 01:20:12,160 Speaker 3: unanimously feel the same way. And Folks, we don't have 1250 01:20:12,240 --> 01:20:16,720 Speaker 3: all the answers. We definitely want to look at the 1251 01:20:16,760 --> 01:20:22,320 Speaker 3: facts and objectively apply critical thinking to sensitive and heavy 1252 01:20:22,400 --> 01:20:26,519 Speaker 3: subjects such as this. We can only do so with 1253 01:20:26,680 --> 01:20:30,080 Speaker 3: your help, and that's why we would like to ask 1254 01:20:30,160 --> 01:20:32,880 Speaker 3: you to hang out with us on email, on a 1255 01:20:32,960 --> 01:20:37,760 Speaker 3: telephonic interaction, or even on the internet online. 1256 01:20:38,439 --> 01:20:41,880 Speaker 5: Correct, you can find us all over the internet, all 1257 01:20:41,920 --> 01:20:45,200 Speaker 5: over your platform of choice at the handle conspiracy Stuff, 1258 01:20:45,320 --> 01:20:48,200 Speaker 5: where we exist on Facebook with our Facebook group Here's 1259 01:20:48,200 --> 01:20:51,960 Speaker 5: where it gets crazy, on x FKA, Twitter, as well 1260 01:20:52,000 --> 01:20:54,839 Speaker 5: as on YouTube where you can find video content galore 1261 01:20:54,920 --> 01:20:59,479 Speaker 5: to enjoy. On Instagram and TikTok, however, we are Conspiracy Stuff. 1262 01:21:01,000 --> 01:21:02,799 Speaker 6: We have a phone number if you want to call 1263 01:21:02,840 --> 01:21:06,599 Speaker 6: and give us your two five twenty cents. Call one 1264 01:21:06,640 --> 01:21:10,680 Speaker 6: eight three three STDWYTK. When you call in it's a 1265 01:21:10,760 --> 01:21:13,920 Speaker 6: voicemail system. You've got three minutes. Give us your name, 1266 01:21:14,160 --> 01:21:17,280 Speaker 6: like not your real name, maybe a fun nickname, and 1267 01:21:17,360 --> 01:21:18,760 Speaker 6: let us know if we can use your name and 1268 01:21:18,800 --> 01:21:21,120 Speaker 6: message on the air. If you've got more to say, 1269 01:21:21,120 --> 01:21:23,120 Speaker 6: than can fit in a three minute voicemail. Why not 1270 01:21:23,160 --> 01:21:25,200 Speaker 6: instead send us a good old fashioned email. 1271 01:21:25,360 --> 01:21:28,880 Speaker 3: We are the entities that read every piece of correspondence 1272 01:21:28,920 --> 01:21:32,360 Speaker 3: we receive. Be well aware, yet unafraid. Sometimes the void 1273 01:21:32,520 --> 01:21:35,919 Speaker 3: writes back. Send us the links, Send us the pictures, 1274 01:21:35,960 --> 01:21:39,519 Speaker 3: the puns, the near death experience stories. That's going to 1275 01:21:39,560 --> 01:21:42,880 Speaker 3: come in handy later in our third Man Syndrome episode. 1276 01:21:43,439 --> 01:21:48,080 Speaker 3: Most importantly, be well, stay safe, have adventures, Join us 1277 01:21:48,120 --> 01:22:10,719 Speaker 3: out here in the dark conspiracy at iHeartRadio dot com. 1278 01:22:10,960 --> 01:22:13,000 Speaker 6: Stuff they Don't Want You to Know is a production 1279 01:22:13,120 --> 01:22:17,639 Speaker 6: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app, 1280 01:22:17,720 --> 01:22:21,479 Speaker 6: Apple Podcasts, or wherever you listen to your favorite shows.