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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:02,667 --> 00:00:03,901 Right out of that hole. 2 00:00:04,067 --> 00:00:06,467 All these other holes are sample ports, so we can measure 3 00:00:06,634 --> 00:00:09,267 the air quality in real time. See you in a few minutes. 4 00:00:16,000 --> 00:00:19,367 Let's face it, there are so many government conspiracies, 5 00:00:19,534 --> 00:00:22,801 it can be hard to tell what's real and what's not. 6 00:00:22,968 --> 00:00:25,000 My name is Andrew Bustamante and I am a former 7 00:00:25,167 --> 00:00:27,767 covert CIA intelligence officer. 8 00:00:27,934 --> 00:00:30,601 And I'm going to pressure test the most sensational 9 00:00:30,767 --> 00:00:33,868 ripped-from-the-headlines conspiracy theories out there 10 00:00:34,033 --> 00:00:36,200 to help you separate fact from fiction. 11 00:00:47,567 --> 00:00:49,667 March 2020. 12 00:00:49,834 --> 00:00:51,868 The world shuts down almost overnight. 13 00:00:53,501 --> 00:00:56,601 Like a sci-fi movie, except no one's leaving the theater. 14 00:00:57,567 --> 00:01:01,300 Body bags, empty streets, isolation. 15 00:01:01,467 --> 00:01:03,567 Tonight, the stark new coronavirus warning, 16 00:01:03,734 --> 00:01:06,567 The WHO saying word-- a new and dangerous phase 17 00:01:06,734 --> 00:01:08,567 in the pandemic is accelorating. 18 00:01:08,734 --> 00:01:11,167 As the virus spread, so did questions 19 00:01:11,334 --> 00:01:13,000 about where it came from. 20 00:01:13,167 --> 00:01:14,567 Was it nature? 21 00:01:14,734 --> 00:01:17,400 An animal virus that made the leap to humans? 22 00:01:17,567 --> 00:01:19,901 A lab leak? A bioweapon? 23 00:01:20,067 --> 00:01:22,200 Or part of a nefarious planned scheme? 24 00:01:24,667 --> 00:01:27,801 On this episode, I'll be using CIA tradecraft, 25 00:01:27,968 --> 00:01:30,868 up-to-the-minute political insights, real-world demos, 26 00:01:31,033 --> 00:01:34,367 and interviews with key experts to test scientific claims... 27 00:01:34,534 --> 00:01:37,367 Was this let out on purpose or by accident? 28 00:01:37,534 --> 00:01:39,367 ...expose potential motives... 29 00:01:39,534 --> 00:01:41,467 China is exporting vaccines 30 00:01:41,634 --> 00:01:44,400 and personal protective equipment around the world. 31 00:01:44,567 --> 00:01:46,000 It was a huge win for Beijing. 32 00:01:46,167 --> 00:01:48,267 ...and pressure test fringe theories... 33 00:01:48,434 --> 00:01:51,400 I have to say this-- don't try this at home. 34 00:01:51,567 --> 00:01:53,367 ...to investigate where COVID-19, 35 00:01:53,534 --> 00:01:56,167 the deadliest pandemic in the past 100 years, 36 00:01:56,334 --> 00:01:57,467 actually came from. 37 00:01:58,667 --> 00:02:00,467 And what I end up discovering... 38 00:02:00,634 --> 00:02:01,800 is shocking. 39 00:02:01,801 --> 00:02:03,667 That is absolutely terrifying to hear you say that. 40 00:02:20,267 --> 00:02:22,601 The COVID-19 pandemic may be over, 41 00:02:22,767 --> 00:02:24,567 but the fallout sure isn't. 42 00:02:24,734 --> 00:02:27,367 A recent poll shows that the majority of Americans 43 00:02:27,534 --> 00:02:30,667 believe that COVID split our country in two. 44 00:02:30,834 --> 00:02:32,267 Why? Because people didn't trust 45 00:02:32,434 --> 00:02:33,801 the information they were getting, 46 00:02:33,968 --> 00:02:35,601 and the origin story became one of 47 00:02:35,767 --> 00:02:37,968 the biggest flashpoints of distrust. 48 00:02:38,133 --> 00:02:40,968 The initial explanation was that the virus originated in 49 00:02:41,133 --> 00:02:43,000 animals and jumped to humans. 50 00:02:48,100 --> 00:02:50,868 It's a process called natural spillover. 51 00:02:51,033 --> 00:02:53,767 And since many of the first COVID 19 patients were traced 52 00:02:53,934 --> 00:02:55,868 to a wet market in Wuhan, China, 53 00:02:56,033 --> 00:02:58,701 where live exotic animals were sold for meat, 54 00:02:58,868 --> 00:03:02,367 many scientists believe this is where the pandemic started. 55 00:03:02,534 --> 00:03:05,367 That virus was brought there with those live animals 56 00:03:05,534 --> 00:03:06,968 and it spilled over. 57 00:03:07,133 --> 00:03:10,000 Let's start by looking at what a wet market actually is. 58 00:03:10,167 --> 00:03:13,167 It sounds dark and exotic, but the idea is simple. 59 00:03:13,334 --> 00:03:16,367 It's an open-air market that is called "wet" because everything 60 00:03:16,534 --> 00:03:17,968 in it needs water. 61 00:03:18,133 --> 00:03:20,467 Washing, rinsing, keeping things cold. 62 00:03:20,634 --> 00:03:23,801 But somewhere along the way, "wet market" became shorthand 63 00:03:23,968 --> 00:03:27,567 for a place full of strange animals and stranger tastes. 64 00:03:27,734 --> 00:03:30,968 The perspective shifts only when you zoom in a darker time 65 00:03:31,133 --> 00:03:33,968 in a specific slice of southern China. 66 00:03:34,133 --> 00:03:37,501 From 1959 to 1961, China went through one of 67 00:03:37,667 --> 00:03:40,200 the worst famines in history. 68 00:03:40,367 --> 00:03:42,367 A combination of failed government policies 69 00:03:42,534 --> 00:03:44,267 and environmental pressures 70 00:03:44,434 --> 00:03:47,067 left tens of millions of people dead. 71 00:03:47,234 --> 00:03:49,701 In the decades that followed, food security became 72 00:03:49,868 --> 00:03:51,367 a national priority. 73 00:03:51,534 --> 00:03:55,067 Beginning in the late 1970s, China introduced market reforms 74 00:03:55,234 --> 00:03:57,367 that allowed farmers more control over what 75 00:03:57,534 --> 00:03:59,167 they produced and sold. 76 00:03:59,334 --> 00:04:02,367 Over time, that shift helped fuel a growing industry in 77 00:04:02,534 --> 00:04:05,067 animal farming, including the breeding and sale 78 00:04:05,234 --> 00:04:06,868 of wild species. 79 00:04:07,033 --> 00:04:10,100 By the 2000s, some of these animals were classified as 80 00:04:10,267 --> 00:04:13,467 agricultural products and sold in markets across China, 81 00:04:13,634 --> 00:04:16,300 bringing humans into closer contact with wildlife 82 00:04:16,467 --> 00:04:17,367 than ever before. 83 00:04:21,167 --> 00:04:23,801 At CIA, we assess theories based on a level of 84 00:04:23,968 --> 00:04:26,868 probability, based on the reliability of the source 85 00:04:27,033 --> 00:04:29,367 and the reliability of the information. 86 00:04:29,534 --> 00:04:31,767 I'm going to use this probability matrix 87 00:04:31,934 --> 00:04:33,968 throughout my investigation to help us assess 88 00:04:34,133 --> 00:04:36,367 each theory as we explore. 89 00:04:36,534 --> 00:04:39,100 So, with natural spillover being a possibility, 90 00:04:39,267 --> 00:04:43,167 how do we know if COVID really did come from nature? 91 00:04:43,334 --> 00:04:46,167 We don't just ask what's possible, we ask what 92 00:04:46,334 --> 00:04:47,868 the evidence supports. 93 00:04:48,033 --> 00:04:51,000 So what does the evidence from Wuhan actually tell us? 94 00:04:51,167 --> 00:04:53,000 To dig into the question, I'm reaching out to 95 00:04:53,167 --> 00:04:56,767 Lia Eustachewich, managing news editor at the New York Post, 96 00:04:56,934 --> 00:04:59,267 because in 2020, she and her team reported on 97 00:04:59,434 --> 00:05:02,667 intriguing from Harvard University that injects doubt 98 00:05:02,834 --> 00:05:04,400 into the spillover theory. 99 00:05:04,567 --> 00:05:07,567 Lia, we all know the commonly accepted theory of the origin 100 00:05:07,734 --> 00:05:10,167 of COVID-19-- what happened to that wet market 101 00:05:10,334 --> 00:05:12,767 after Chinese authorities basically told the world 102 00:05:12,934 --> 00:05:14,267 it was the cause of COVID? 103 00:05:14,434 --> 00:05:16,367 It was shut down. So it all gave credence 104 00:05:16,534 --> 00:05:18,868 to this notion that the wet market 105 00:05:19,033 --> 00:05:20,667 was ground zero for COVID. 106 00:05:20,834 --> 00:05:22,267 How did the World Health Organization 107 00:05:22,434 --> 00:05:23,766 handle it at the start? 108 00:05:23,767 --> 00:05:27,067 They did send a team over pretty early on when we first 109 00:05:27,234 --> 00:05:29,167 learned that COVID was spreading. 110 00:05:29,334 --> 00:05:32,801 But they were very in what they could investigate. 111 00:05:32,968 --> 00:05:36,000 They were unable to talk to the right people, you know, 112 00:05:36,167 --> 00:05:37,367 go into the market. 113 00:05:37,534 --> 00:05:40,667 They were stymied by the Chinese authorities. 114 00:05:40,834 --> 00:05:43,767 They were very limited in what they could find. 115 00:05:43,934 --> 00:05:46,267 What I'd like to do is actually build a timeline 116 00:05:46,434 --> 00:05:48,367 and see if that doesn't paint a picture for us. 117 00:05:48,534 --> 00:05:49,833 - Yep. - All right. 118 00:05:49,834 --> 00:05:53,901 You were saying that everything started in December of 2019, 119 00:05:54,067 --> 00:05:57,367 Chinese authorities reporting pneumonia of unknown cause. 120 00:05:57,534 --> 00:05:59,601 Correct-- it was known as "novel coronavirus" 121 00:05:59,767 --> 00:06:01,066 at the time. 122 00:06:01,067 --> 00:06:04,667 And January 11th is when China reported its first death. 123 00:06:04,834 --> 00:06:08,767 Yes, and then January 13th, it finds its way to Thailand. 124 00:06:08,934 --> 00:06:11,968 And January 15th, to Japan. 125 00:06:12,133 --> 00:06:14,501 By January 20th, 21st, it looks like that's when 126 00:06:14,667 --> 00:06:17,567 the World Health Organization first visited Wuhan. 127 00:06:17,734 --> 00:06:19,267 Right. And this also coincided with 128 00:06:19,434 --> 00:06:22,367 the first case being confirmed in the United States, 129 00:06:22,534 --> 00:06:23,868 in Washington state. 130 00:06:24,033 --> 00:06:26,868 In March, it's a pandemic officially 131 00:06:27,033 --> 00:06:29,267 declared by the World Health Organization. 132 00:06:29,434 --> 00:06:33,367 And then, shutdowns start happening all over the world. 133 00:06:33,534 --> 00:06:35,100 Tell me about the satellite images you found 134 00:06:35,267 --> 00:06:36,801 and the other story they tell. 135 00:06:36,968 --> 00:06:39,167 This report came out in June 2020. 136 00:06:41,400 --> 00:06:44,367 Harvard researchers analyzed this satellite data from 137 00:06:44,534 --> 00:06:47,601 the hospital parking lots in Wuhan, and it clearly showed 138 00:06:47,767 --> 00:06:50,767 that there was an uptick in people coming in and out of 139 00:06:50,934 --> 00:06:53,767 the hospitals much earlier than Chinese authorities said. 140 00:06:54,767 --> 00:06:58,100 So there is that six-month gap of when the public first 141 00:06:58,267 --> 00:07:00,267 started learning about COVID 142 00:07:00,434 --> 00:07:03,467 to when symptoms really started in China. 143 00:07:03,634 --> 00:07:05,567 After it escaped, one-and-a-half months, 144 00:07:05,734 --> 00:07:08,167 China did not put any restrictions whatsoever, 145 00:07:08,334 --> 00:07:10,868 and by that, China allowed the virus to spread. 146 00:07:11,033 --> 00:07:12,100 Hang on. 147 00:07:12,267 --> 00:07:14,267 Could it just be an early flu season? 148 00:07:14,434 --> 00:07:17,100 There would have to be other data besides just an uptick in 149 00:07:17,267 --> 00:07:19,167 hospital traffic data. - Correct. 150 00:07:19,334 --> 00:07:21,901 At the same time, there's an increase in searches 151 00:07:22,067 --> 00:07:26,467 from the Wuhan area for COVID symptoms, cough, and diarrhea. 152 00:07:26,634 --> 00:07:30,667 And we're seeing now there's an inconsistency when the first 153 00:07:30,834 --> 00:07:33,701 reports were coming in to the hospitals in Wuhan versus 154 00:07:33,868 --> 00:07:36,400 when the public was made aware of the existence of 155 00:07:36,567 --> 00:07:37,700 a new virus. - Correct. 156 00:07:37,701 --> 00:07:40,667 When people tried to discuss an alternate theory of 157 00:07:40,834 --> 00:07:44,801 where COVID came from, they were cast aside. 158 00:07:44,968 --> 00:07:46,767 They were, you know, told they were 159 00:07:46,934 --> 00:07:50,000 conspiracy theorists. They were treated as pariahs. 160 00:07:50,167 --> 00:07:53,467 And I feel like the divisiveness could have been mitigated 161 00:07:53,634 --> 00:07:56,167 if we had gotten clear answers from the get-go. 162 00:07:56,334 --> 00:07:59,767 It also suggests why there have been so many conspiracies 163 00:07:59,934 --> 00:08:02,267 that have grown out of the coronavirus pandemic. 164 00:08:02,434 --> 00:08:04,400 Absolutely-- I think when people 165 00:08:04,567 --> 00:08:07,968 don't get straight answers, they fill those gaps themselves 166 00:08:08,133 --> 00:08:10,000 and they come up with other theories. 167 00:08:13,767 --> 00:08:16,367 Lia's reporting raises some real questions about 168 00:08:16,534 --> 00:08:19,801 the timeline and about how much we were told. 169 00:08:21,501 --> 00:08:24,667 But inconsistencies don't tell me where the virus came from. 170 00:08:25,667 --> 00:08:28,667 To study that, I need to understand how a virus like 171 00:08:28,834 --> 00:08:32,667 this actually jumps from animals to humans. 172 00:08:32,834 --> 00:08:36,000 I have to test the spillover theory for myself. 173 00:08:38,467 --> 00:08:42,100 So I've come here to the Rocky Mountain Wildlife Center 174 00:08:42,267 --> 00:08:46,267 to put myself in the zone where viruses can jump from animals 175 00:08:46,434 --> 00:08:50,601 to humans and see just how probable that risk is. 176 00:08:51,968 --> 00:08:54,701 First, we have to make sure we are fully, from head-to-toe, 177 00:08:54,868 --> 00:08:56,000 suited up in protective gear. 178 00:08:56,167 --> 00:08:57,300 - Let's do it. - All right. 179 00:08:57,467 --> 00:08:59,067 So we're going to get you some gloves, 180 00:08:59,234 --> 00:09:01,667 a gown, and a mask. - OK. 181 00:09:03,167 --> 00:09:07,267 We, of course, can get sick from our patients through mucus 182 00:09:45,067 --> 00:09:47,200 The owl is the informal mascot 183 00:09:47,367 --> 00:09:49,367 for intelligence services worldwide. 184 00:09:49,534 --> 00:09:51,868 So it's really exciting to me that I get to handle 185 00:09:52,033 --> 00:09:53,100 a wild owl. 186 00:10:47,467 --> 00:10:50,000 The Wildlife Center confirmed something important. 187 00:10:50,167 --> 00:10:53,300 Spillover from animals that can carry dangerous viruses, 188 00:10:53,467 --> 00:10:55,367 even owls and bird flu, 189 00:10:55,534 --> 00:10:58,067 isn't rare-- it's common. 190 00:11:00,601 --> 00:11:02,801 A crowded market, infected wildlife, 191 00:11:02,968 --> 00:11:05,300 and sloppy handlers are very much ground-zero 192 00:11:05,467 --> 00:11:06,868 for a pandemic. 193 00:11:07,033 --> 00:11:10,100 But if COVID-19 was a natural outbreak, what explains 194 00:11:10,267 --> 00:11:12,367 the contradictions in the timeline? 195 00:11:12,534 --> 00:11:15,868 And why was the official narrative locked down so fast? 196 00:11:17,167 --> 00:11:19,868 So my next question in this investigation is this. 197 00:11:21,000 --> 00:11:23,200 If this didn't happen in the wild, 198 00:11:23,367 --> 00:11:25,067 where else could it have started? 199 00:11:26,567 --> 00:11:30,367 When you look at Wuhan, just across the river 10 miles 200 00:11:30,534 --> 00:11:32,767 from the wet market, what do you find there? 201 00:11:36,000 --> 00:11:37,267 It's almost beyond belief. 202 00:11:45,167 --> 00:11:47,868 2 As soon as the world learned of a new virus in Wuhan, 203 00:11:48,033 --> 00:11:50,567 the Chinese government claimed it came from wild animals at 204 00:11:50,734 --> 00:11:52,467 the wet market and spilled into humans. 205 00:11:54,167 --> 00:11:56,267 But the outbreak happened in the in the same city as 206 00:11:56,434 --> 00:11:59,667 the highly secure Wuhan Institute of Virology, 207 00:11:59,834 --> 00:12:02,300 where bat coronaviruses had been studied for years. 208 00:12:03,467 --> 00:12:05,567 That's a coincidence that's too hard to ignore. 209 00:12:06,767 --> 00:12:09,767 It fueled speculation that perhaps COVID-19 had leaked 210 00:12:09,934 --> 00:12:13,000 from a lab where nothing was supposed to ever escape. 211 00:12:13,167 --> 00:12:15,300 But is such a scenario even possible? 212 00:12:20,300 --> 00:12:23,868 Most people don't realize this, but in 1977, a strain of 213 00:12:24,033 --> 00:12:26,267 influenza known as the Russian flu 214 00:12:26,434 --> 00:12:28,100 spread around the world. 215 00:12:28,267 --> 00:12:30,367 Some scientists believe it may have originated from 216 00:12:30,534 --> 00:12:32,868 a lab accident after a version of the virus 217 00:12:33,033 --> 00:12:35,467 thought to be extinct suddenly reappeared. 218 00:12:36,901 --> 00:12:39,267 A decade earlier, a deadly virus later named 219 00:12:39,434 --> 00:12:42,667 Marburg infected lab workers handling imported monkeys. 220 00:12:43,868 --> 00:12:45,000 Seven people died. 221 00:12:47,100 --> 00:12:49,501 And in the early 2000s, the SARS virus, 222 00:12:49,667 --> 00:12:52,467 a close relative of COVID-19, escaped from labs 223 00:12:52,634 --> 00:12:55,501 multiple times, infecting researchers 224 00:12:55,667 --> 00:12:57,000 and triggering new outbreaks. 225 00:12:58,200 --> 00:13:01,167 These incidents are rare, but they're real. 226 00:13:01,334 --> 00:13:04,767 So the question isn't just, could a virus leak from a lab? 227 00:13:04,934 --> 00:13:06,767 It's, how probable is it today? 228 00:13:08,067 --> 00:13:10,601 So I am here at the Aerobiology Laboratory 229 00:13:10,767 --> 00:13:12,667 at the University of Colorado in Boulder 230 00:13:12,834 --> 00:13:16,067 to learn how viruses are safely contained. 231 00:13:16,234 --> 00:13:18,567 And more importantly, if it gives us any clues to 232 00:13:18,734 --> 00:13:22,567 the reality of a Wuhan lab leak of COVID-19. 233 00:13:22,734 --> 00:13:24,901 What kind of a lab is this? 234 00:13:25,067 --> 00:13:28,667 Most of our mission is to kill bad things in the air 235 00:13:28,834 --> 00:13:29,901 that you breathe. 236 00:13:30,067 --> 00:13:31,901 Our lab is the seatbelt for lungs. 237 00:13:34,300 --> 00:13:37,067 So we're about to go into an active lab. 238 00:13:38,501 --> 00:13:40,167 Kindergarten rule, keep your hands to yourself. 239 00:13:42,167 --> 00:13:46,367 What we grow in our lab is pretty much a rogue's gallery 240 00:13:46,534 --> 00:13:50,100 of the things that make us and animals sick. 241 00:13:50,267 --> 00:13:53,000 Flu, whooping cough, different flavors of 242 00:13:53,167 --> 00:13:57,200 tuberculosis, and we store these cryogenically. 243 00:13:57,367 --> 00:13:59,501 So myself or any of our researchers 244 00:13:59,667 --> 00:14:01,601 can pull it out. 245 00:14:01,767 --> 00:14:04,901 We've got vials and vials of anything that you want. 246 00:14:05,067 --> 00:14:09,100 E. coli, SARS-CoV-2, hepatitis virus. 247 00:14:09,267 --> 00:14:10,701 Wow! Unbelievable! 248 00:14:10,868 --> 00:14:14,667 Within a week, I can have live virus, live bacteria, 249 00:14:14,834 --> 00:14:15,868 live fungi, whatever you want. 250 00:14:17,100 --> 00:14:19,601 That'll give you pneumonia if you inhale it. 251 00:14:19,767 --> 00:14:21,467 - Oh, my gosh! This is so crazy. - Yeah. 252 00:14:24,801 --> 00:14:27,300 Everything about this door says... 253 00:14:27,467 --> 00:14:28,501 Don't go in. 254 00:14:28,667 --> 00:14:30,367 It says don't go in, absolutely. 255 00:14:30,534 --> 00:14:31,467 - Right. - But we're going in. 256 00:14:31,634 --> 00:14:32,501 - ... Yeah. - I'm excited. 257 00:14:32,667 --> 00:14:34,000 OK, nervous, but excited. 258 00:14:36,100 --> 00:14:39,000 What is the danger of the experiment that we're 259 00:14:39,167 --> 00:14:41,868 running right now? - The danger is you get sick. 260 00:14:42,033 --> 00:14:43,868 - OK. - OK? 261 00:14:44,033 --> 00:14:47,000 With this first task, I want to experience how viruses are 262 00:14:47,167 --> 00:14:49,667 handled and how a dangerous spill could occur. 263 00:15:20,100 --> 00:15:22,000 Take a big breath. Take your coronavirus, 264 00:15:22,167 --> 00:15:24,467 open it up, and pour her into the trough. 265 00:15:25,968 --> 00:15:27,767 Now the hands of a surgeon come in. 266 00:15:27,934 --> 00:15:30,367 - Ooh... - You're gonna pick up eight of those, push down 267 00:15:30,534 --> 00:15:32,267 until they're kind of secured in a row. 268 00:15:32,434 --> 00:15:33,868 That takes a little practice. 269 00:15:35,667 --> 00:15:36,701 Eh... 270 00:15:37,801 --> 00:15:40,868 Now you're gonna go over, pick up your virus, 271 00:15:41,033 --> 00:15:43,868 and now you're gonna add them to the brain cells. 272 00:15:44,033 --> 00:15:46,267 Precision, care, and attention to detail. 273 00:15:47,567 --> 00:15:52,000 Dr. Hernandez wasn't kidding. This takes surgical precision. 274 00:15:52,167 --> 00:15:54,868 One small slip and I could spill a contagious virus. 275 00:17:14,067 --> 00:17:16,367 This lab has strict containment protocols with 276 00:17:16,534 --> 00:17:20,000 multiple safeguards to prevent anything from escaping. 277 00:17:20,167 --> 00:17:22,367 At CIA, we'd consider the probability of 278 00:17:22,534 --> 00:17:24,868 an accidental leak here as extremely low. 279 00:17:26,667 --> 00:17:30,100 But leaks can and do happen if rules aren't followed. 280 00:17:32,467 --> 00:17:34,868 OK, audio check. Mark. 281 00:17:35,033 --> 00:17:36,667 Good copy, Dr. Hernandez. 282 00:17:36,834 --> 00:17:38,100 For a first-hand demonstration 283 00:17:38,267 --> 00:17:40,868 of how containment protocols work and air is cleaned, 284 00:17:41,033 --> 00:17:43,801 I'm about to do something crazy. 285 00:17:43,968 --> 00:17:46,767 I'm putting myself in a room where an airborne virus is 286 00:17:46,934 --> 00:17:48,167 actively circulating. 287 00:17:48,334 --> 00:17:49,667 If COVID came from a lab, 288 00:17:49,834 --> 00:17:51,367 it likely spread through the air. 289 00:17:51,534 --> 00:17:54,667 So to test that idea, I need to understand how airborne viruses 290 00:17:54,834 --> 00:17:58,000 behave and how easily they can escape containment. 291 00:17:58,167 --> 00:17:59,968 So I'm going into an aerosol chamber. 292 00:18:00,200 --> 00:18:01,299 Yes, sir. 293 00:18:01,300 --> 00:18:03,501 The purpose of these experiments is to figure out 294 00:18:03,667 --> 00:18:06,467 how long airborne pathogens like flu, coronavirus, 295 00:18:06,634 --> 00:18:10,300 RSV survive in the air in classrooms and offices 296 00:18:10,467 --> 00:18:11,533 and so on. 297 00:18:11,534 --> 00:18:14,167 And then how do we kill it without harming us? 298 00:18:14,334 --> 00:18:15,767 What do I need to do to do this safely? 299 00:18:15,934 --> 00:18:17,267 Well, let's get you suited up. 300 00:18:19,100 --> 00:18:20,267 How are you feeling in there? 301 00:18:23,701 --> 00:18:25,367 So I'm going to take you in the chamber. 302 00:18:26,801 --> 00:18:29,934 You'll see a little pink cloud come in. 303 00:18:32,400 --> 00:18:34,801 Right out of that hole. See you in a few minutes. 304 00:18:40,801 --> 00:18:45,067 Three, two, one-- here she comes. 305 00:18:51,667 --> 00:18:53,067 And now it's starting to take off. 306 00:18:53,234 --> 00:18:54,367 Yeah. 307 00:19:04,367 --> 00:19:07,367 So, Andy, the instrumentation is telling us 308 00:19:07,534 --> 00:19:09,400 we've got quite a bit of particles in there. 309 00:19:14,000 --> 00:19:16,567 We're going to start the filters now. 310 00:19:18,567 --> 00:19:20,467 There's two filters on the floor 311 00:19:20,634 --> 00:19:22,567 to remove the aerosol. 312 00:19:24,100 --> 00:19:25,868 One last intervention we want to engage in-- 313 00:19:26,033 --> 00:19:27,234 it's right above your head. 314 00:19:28,601 --> 00:19:31,501 That's a UV light that'll inactivate any virus that's in 315 00:19:31,667 --> 00:19:33,968 the air pretty rapidly, and it's safe for 316 00:19:34,133 --> 00:19:35,100 skin and eyes. 317 00:20:02,667 --> 00:20:04,567 - Wow. - How was the ride? 318 00:20:04,734 --> 00:20:05,868 Wow. Wow. 319 00:20:07,467 --> 00:20:08,868 So this helps to tell us what 320 00:20:09,033 --> 00:20:11,601 the total biological load in the air is. 321 00:20:11,767 --> 00:20:13,767 A biological load is essentially germs. 322 00:20:13,934 --> 00:20:16,367 Yeah-- and you actually started up at about 4,000. 323 00:20:16,534 --> 00:20:19,400 And then within about two minutes, that HEPA filter in 324 00:20:19,567 --> 00:20:22,501 there with you dropped the particles down by 75%. 325 00:20:22,667 --> 00:20:23,968 - So HEPA filters-- - In just two minutes. 326 00:20:24,133 --> 00:20:25,567 In just two minutes. 327 00:20:26,667 --> 00:20:29,567 Seeing the process up close makes it clear that labs like 328 00:20:29,734 --> 00:20:32,300 this are designed to contain viruses. 329 00:20:32,467 --> 00:20:35,000 But even the best systems rely on people, 330 00:20:35,167 --> 00:20:37,100 and people make mistakes. 331 00:20:37,267 --> 00:20:39,667 What made coronavirus so different than some of 332 00:20:39,834 --> 00:20:41,767 the other outbreaks that have happened in our generation? 333 00:20:41,934 --> 00:20:44,100 If you remember the term about the coronavirus, 334 00:20:44,267 --> 00:20:47,000 "novel" coronavirus, there was something about 335 00:20:47,167 --> 00:20:49,667 the biochemistry of that little floating particle that 336 00:20:49,834 --> 00:20:51,868 most people had never seen before. 337 00:20:52,033 --> 00:20:54,167 And that's where the issue comes to, 338 00:20:54,334 --> 00:20:56,567 hey, was this engineered? 339 00:20:56,734 --> 00:20:59,567 Was this let out on purpose or by accident as part of 340 00:20:59,734 --> 00:21:01,467 the genetic engineering process? 341 00:21:01,634 --> 00:21:04,367 And we don't have the answer to those questions yet. 342 00:21:04,534 --> 00:21:07,667 Though a lab leak is possible, what I saw suggests 343 00:21:07,834 --> 00:21:10,267 the protocols in Wuhan wouldn't be all that different from 344 00:21:10,434 --> 00:21:11,734 the ones at this lab. 345 00:21:11,901 --> 00:21:15,000 So if I can't prove a leak from the outside, maybe I need to 346 00:21:15,167 --> 00:21:16,767 look at the virus itself. 347 00:21:16,934 --> 00:21:20,200 Dr. Hernandez left me with an intriguing thread to follow. 348 00:21:20,367 --> 00:21:23,567 COVID-19 was a virus with novel biochemistry. 349 00:21:24,667 --> 00:21:27,367 The question is, are those features we'd expect to see 350 00:21:27,534 --> 00:21:30,367 in nature, or do they point to something else? 351 00:21:39,501 --> 00:21:42,167 2 Dr. Hernandez pointed me to something I can't ignore, 352 00:21:42,334 --> 00:21:45,467 COVID-19's unusual biochemistry. 353 00:21:45,634 --> 00:21:48,267 Maybe the virus itself might hold clues about 354 00:21:48,434 --> 00:21:49,634 where it came from. 355 00:21:51,767 --> 00:21:55,467 So I want to talk to molecular biologist Dr. Alina Chan. 356 00:21:55,634 --> 00:21:57,667 With a background in medical genetics and vector 357 00:21:57,834 --> 00:22:00,400 engineering, Dr. Chan has written a book exploring 358 00:22:00,567 --> 00:22:03,701 the origins of COVID-19. 359 00:22:03,868 --> 00:22:07,000 So I've been in a BSL-2 lab, and the scientist that 360 00:22:07,167 --> 00:22:09,100 hosted me specifically said... - Mm-hmm. 361 00:22:09,267 --> 00:22:12,067 ...there's an element inside the SARS-CoV-2 virus 362 00:22:12,234 --> 00:22:14,167 that they hadn't seen before. 363 00:22:14,334 --> 00:22:16,167 What is that? And can it tell us something 364 00:22:16,334 --> 00:22:18,701 about where COVID-19 came from? 365 00:22:18,868 --> 00:22:22,567 SARS-CoV-2 is unique amongst all SARS-like viruses. 366 00:22:22,734 --> 00:22:26,667 It has a special feature called a furin cleavage site. 367 00:22:26,834 --> 00:22:29,567 And this feature is what makes it really effective at 368 00:22:29,734 --> 00:22:31,167 infecting human cells. 369 00:22:31,334 --> 00:22:34,167 In 2018, the Wuhan scientists, together with 370 00:22:34,334 --> 00:22:37,701 their U.S. partners, were trying to test different mutations, 371 00:22:37,868 --> 00:22:40,000 and they had plans to put these furin cleavage sites into 372 00:22:40,167 --> 00:22:41,567 SARS-like viruses. 373 00:22:41,734 --> 00:22:44,868 It was intended at predicting and preventing pandemics. 374 00:22:45,033 --> 00:22:47,901 And there's this really striking coincidence, of all of 375 00:22:48,067 --> 00:22:49,667 the viruses in the world, 376 00:22:49,834 --> 00:22:53,067 this SARS-CoV-2 virus with the unique fearing cleavage site 377 00:22:53,234 --> 00:22:54,701 that appeared in Wuhan. 378 00:22:54,868 --> 00:22:57,601 I mean, when I look at this through a lens of probability, 379 00:22:57,767 --> 00:23:00,601 the coincidence is glaringly strong. 380 00:23:00,767 --> 00:23:03,367 But strong coincidences can point to patterns or pull 381 00:23:03,534 --> 00:23:06,667 you to conclusions that aren't fully supported yet. 382 00:23:06,834 --> 00:23:08,467 These plans were leaked 383 00:23:08,634 --> 00:23:11,167 from inside the U.S. government in 2021. 384 00:23:12,901 --> 00:23:16,067 In March 2020, influential scientists said 385 00:23:16,234 --> 00:23:20,501 that there was no plausible lab origin scenario for COVID 19. 386 00:23:20,667 --> 00:23:22,300 But since then, 387 00:23:22,467 --> 00:23:24,767 the private emails and messages of these scientists 388 00:23:24,934 --> 00:23:26,667 have been subpoenaed. 389 00:23:26,834 --> 00:23:29,067 And now we see that they were actually looking at 390 00:23:29,234 --> 00:23:30,767 a lab origin scenario. 391 00:23:31,868 --> 00:23:36,200 When you start talking about the likelihood that it came 392 00:23:36,367 --> 00:23:39,501 from a lab, what did that do to you and your reputation? 393 00:23:40,767 --> 00:23:42,567 Yeah, people were attacking us, 394 00:23:42,734 --> 00:23:44,467 saying that we were conspiracy theorists. 395 00:23:45,567 --> 00:23:48,601 I received many very unpleasant tweets. 396 00:23:50,601 --> 00:23:54,467 But many top viroligists started sending me mail saying that 397 00:23:54,634 --> 00:23:58,200 we agree with you, but none of them made their stance public 398 00:23:58,367 --> 00:23:59,767 because the harm to their reputation 399 00:23:59,934 --> 00:24:01,100 can be really strong. 400 00:24:02,968 --> 00:24:04,567 But does that exclude the possibility of 401 00:24:04,734 --> 00:24:06,601 natural spillover? 402 00:24:06,767 --> 00:24:09,868 No-- the favorite natural origin hypothesis, 403 00:24:10,033 --> 00:24:12,267 which cannot be ruled out, is that the bats 404 00:24:12,434 --> 00:24:13,767 down in the southern regions 405 00:24:13,934 --> 00:24:17,300 infected an intermediate host, so some other kind of animal, 406 00:24:17,467 --> 00:24:20,801 or infected a person in Wuhan and caused an outbreak there. 407 00:24:20,968 --> 00:24:23,467 Why do you think so many conspiracy theories still 408 00:24:23,634 --> 00:24:25,868 surround the origin of COVID-19? 409 00:24:27,067 --> 00:24:31,701 20 million people died because of COVID 19. 410 00:24:31,868 --> 00:24:34,100 How can you just brush that aside? 411 00:24:34,267 --> 00:24:35,467 People need to know the truth. 412 00:24:36,501 --> 00:24:39,567 In 2023, there was already a COVID Origins Act that was 413 00:24:39,734 --> 00:24:43,801 passed unanimously saying declassify the data linking 414 00:24:43,968 --> 00:24:45,868 the Wuhan lab to the origin of COVID 19. 415 00:24:46,033 --> 00:24:49,467 But the intelligence community over two administrations 416 00:24:49,634 --> 00:24:51,567 refused to declassify the data. 417 00:24:53,267 --> 00:24:55,467 I am, I'm kind of overwhelmed. 418 00:24:57,868 --> 00:25:00,801 I'm gonna turn off my camera for a second. 419 00:25:00,968 --> 00:25:01,901 - Yep. - OK. 420 00:25:10,901 --> 00:25:13,467 I am on the verge of tears. 421 00:25:19,400 --> 00:25:21,300 Hearing how avoidable this could have been, 422 00:25:23,767 --> 00:25:25,767 and there are 20 million dead people. 423 00:25:29,767 --> 00:25:31,167 But we're not any safer. 424 00:25:32,501 --> 00:25:35,167 And I was on the side that kept secrets like this. 425 00:25:37,567 --> 00:25:40,000 And the people who have been crying "conspiracy," 426 00:25:40,167 --> 00:25:42,968 they're closer to right than they are to wrong on this. 427 00:25:49,767 --> 00:25:51,801 Thank you. I just needed a second to 428 00:25:51,968 --> 00:25:53,400 myself, Alina, to kind of... 429 00:25:54,567 --> 00:25:57,267 process what you're talking about. 430 00:25:57,434 --> 00:26:01,200 And a lot of what you were saying was new information 431 00:26:01,367 --> 00:26:03,267 and emotional for me. 432 00:26:03,434 --> 00:26:05,267 I can't thank you enough for the work that you've done. 433 00:26:05,434 --> 00:26:06,701 Thank you, Andy. 434 00:26:08,067 --> 00:26:11,567 Dr. Chan makes a compelling case for the lab leak theory. 435 00:26:11,734 --> 00:26:14,300 But compelling doesn't mean conclusive. 436 00:26:14,467 --> 00:26:16,000 It means there are still questions that 437 00:26:16,167 --> 00:26:17,667 haven't been answered. 438 00:26:17,834 --> 00:26:20,501 Many continue to stand by the natural spillover theory to 439 00:26:20,667 --> 00:26:22,467 explain where COVID came from. 440 00:26:22,634 --> 00:26:26,601 Three evolutionary biologists, Michael Worobey, Chris Andersen, 441 00:26:26,767 --> 00:26:29,000 and Eddie Holmes-- they go through all the data. 442 00:26:29,167 --> 00:26:30,400 Could not be clearer. 443 00:26:30,567 --> 00:26:32,467 Animal to human spillover event that occurred 444 00:26:32,634 --> 00:26:34,200 in the western section of the Wunan market. 445 00:26:34,367 --> 00:26:37,067 So why is it that two-thirds of the American public think it 446 00:26:37,234 --> 00:26:38,567 was a lab leak? 447 00:26:38,734 --> 00:26:41,767 Again, I think it's easier to conceive that, and it's nice to 448 00:26:41,934 --> 00:26:44,767 be able to blame somebody. And so it became political. 449 00:26:44,934 --> 00:26:47,567 And let's not forget, scientists around the world 450 00:26:47,734 --> 00:26:50,267 have been researching the virus, and they mostly 451 00:26:50,434 --> 00:26:53,501 agree that it could have come from natural origins. 452 00:26:53,667 --> 00:26:56,601 But there's catch, because the sequences that 453 00:26:56,767 --> 00:26:58,000 scientists are working from 454 00:26:58,167 --> 00:27:00,567 have largely been controlled by China. 455 00:27:00,734 --> 00:27:02,701 These aren't coming from independent sources that have 456 00:27:02,868 --> 00:27:06,667 collected samples from Wuhan or early areas of infection. 457 00:27:06,834 --> 00:27:09,267 So while scientists may be in agreement, they are in 458 00:27:09,434 --> 00:27:11,467 agreement on limited information. 459 00:27:11,634 --> 00:27:13,167 And anytime there is missing data, 460 00:27:13,334 --> 00:27:15,701 there's always room for doubt. 461 00:27:15,868 --> 00:27:18,901 And that got people wondering if the virus's origin story was 462 00:27:19,067 --> 00:27:20,333 a lot darker. 463 00:27:20,334 --> 00:27:24,767 Could COVID-19 be a product of biological weapons research? 464 00:27:30,767 --> 00:27:33,801 2 I've looked at the possibility that COVID came from nature, 465 00:27:33,968 --> 00:27:37,200 and I've tested how an accident inside a lab could happen. 466 00:27:37,367 --> 00:27:40,267 But there's one more possibility I need to consider. 467 00:27:40,434 --> 00:27:42,467 What if it wasn't an accident at all? 468 00:27:44,267 --> 00:27:46,767 In the ongoing quest for geopolitical dominance, 469 00:27:46,934 --> 00:27:50,701 global superpowers go to great lengths to gain an edge. 470 00:27:50,868 --> 00:27:53,901 China follows a strategy called civil-military fusion, 471 00:27:54,067 --> 00:27:55,968 and the idea is pretty simple. 472 00:27:56,133 --> 00:27:58,100 Use science and technology to offset 473 00:27:58,267 --> 00:28:00,667 the West's military power. 474 00:28:00,834 --> 00:28:03,467 So understanding that science is central to China's military 475 00:28:03,634 --> 00:28:07,367 ambitions, does that include biological weapons research? 476 00:28:09,267 --> 00:28:12,467 Could COVID-19 be a product of this military project? 477 00:28:13,968 --> 00:28:16,601 It's a theory that took hold early on in the pandemic, 478 00:28:16,767 --> 00:28:19,767 especially among China's rivals like India. 479 00:28:19,934 --> 00:28:22,200 Was the Wuhan virus a bioweapon? 480 00:28:22,367 --> 00:28:25,601 Was the aim to create the deadliest coronavirus ever? 481 00:28:25,767 --> 00:28:28,567 And with China determined to be the only superpower in all 482 00:28:28,734 --> 00:28:32,100 of Asia, it's not that far-fetched of an idea. 483 00:28:32,267 --> 00:28:34,767 So I've invited China expert Henrietta Levin, 484 00:28:34,934 --> 00:28:36,200 a former senior U.S. official 485 00:28:36,367 --> 00:28:38,767 at the State Department and current senior fellow 486 00:28:38,934 --> 00:28:41,100 at the Center for Strategic and International Studies, 487 00:28:41,267 --> 00:28:42,534 to discuss that question. 488 00:28:43,868 --> 00:28:46,701 Could China have intentionally created a biological weapon 489 00:28:46,868 --> 00:28:48,701 that led to the release of COVID? 490 00:28:48,868 --> 00:28:53,300 The Chinese Communist Party is fundamentally about control 491 00:28:53,467 --> 00:28:55,667 over everything that happens in the country. 492 00:28:55,834 --> 00:29:00,501 China fears instability in China more than anything else. 493 00:29:00,667 --> 00:29:03,667 And you can see even in the Chinese government's 494 00:29:03,834 --> 00:29:06,501 response to COVID, the amount 495 00:29:06,667 --> 00:29:09,767 of societal control was incredible. 496 00:29:09,934 --> 00:29:12,767 I mean, whether you could leave your house was dependent on 497 00:29:12,934 --> 00:29:17,000 what a government-sponsored app told you you could do. 498 00:29:17,167 --> 00:29:19,200 You would see drones coming up to your window. 499 00:29:26,367 --> 00:29:29,901 And this really shocked a lot of Chinese citizens. 500 00:29:30,067 --> 00:29:33,200 So COVID actually brought organized protests... 501 00:29:34,434 --> 00:29:36,701 ...onto the street in China for the first time 502 00:29:36,868 --> 00:29:38,267 in years and years. 503 00:29:41,501 --> 00:29:45,100 That alone would say to me that 504 00:29:45,267 --> 00:29:48,467 COVID is not working out for China. 505 00:29:49,901 --> 00:29:51,901 Were there benefits that might suggest that China 506 00:29:52,067 --> 00:29:53,968 deliberately released COVID? 507 00:29:54,133 --> 00:29:55,667 Well, remember early in the pandemic, 508 00:29:55,834 --> 00:29:58,167 Italy was hit very hard. - Yes. 509 00:29:58,334 --> 00:30:01,167 China made a pretty big show of donating 510 00:30:01,334 --> 00:30:03,467 medical equipment to Italy. 511 00:30:03,634 --> 00:30:06,868 So you saw a huge outpouring of gratitude. 512 00:30:07,033 --> 00:30:11,400 Italy is a G7 country, so this was a pretty big political 513 00:30:11,567 --> 00:30:13,300 success for Beijing. 514 00:30:13,467 --> 00:30:16,667 And later in the pandemic, there's a critical six-month 515 00:30:16,834 --> 00:30:22,501 period where China is exporting massive amounts of vaccines 516 00:30:22,667 --> 00:30:25,367 and personal protective equipment around the world. 517 00:30:25,534 --> 00:30:27,467 - Health diplomacy. - Yes. 518 00:30:27,634 --> 00:30:30,000 And the U.S. isn't sharing vaccines with anyone. 519 00:30:30,167 --> 00:30:33,067 A huge win for China's popularity in the global south. 520 00:30:34,467 --> 00:30:38,167 Now, did they take advantage of a crisis to try 521 00:30:38,334 --> 00:30:40,400 and bolster influence? Yes. 522 00:30:40,567 --> 00:30:45,067 But just the chaos inside of China that was unleashed by 523 00:30:45,234 --> 00:30:49,167 this virus is something Beijing would never have intended. 524 00:30:49,334 --> 00:30:52,300 It would seem seems silly to risk losing it all 525 00:30:52,467 --> 00:30:54,467 because of a biological weapons effort. 526 00:30:56,000 --> 00:31:00,167 Based on what we know, it doesn't appear that COVID 19 527 00:31:00,334 --> 00:31:03,567 fits the description of a biological weapon. 528 00:31:03,734 --> 00:31:06,467 But ruling that out doesn't end the investigation. 529 00:31:06,634 --> 00:31:08,467 It just shifts the question. 530 00:31:08,634 --> 00:31:10,767 If this wasn't about military power, what else 531 00:31:10,934 --> 00:31:12,567 could have motivated it? 532 00:31:12,734 --> 00:31:15,868 One answer some people point to is money. 533 00:31:16,033 --> 00:31:17,167 Whoever makes the first successful 534 00:31:17,334 --> 00:31:20,701 COVID-19 vaccine also stands to make a fortune. 535 00:31:20,868 --> 00:31:23,067 We are talking billions of dollars in revenue. 536 00:31:23,234 --> 00:31:27,267 Pfizer alone is set to make between $59 and $61 billion in 537 00:31:27,434 --> 00:31:30,167 profits this year, $15 billion of which would be from 538 00:31:30,334 --> 00:31:32,367 their COVID-19 vaccine alone. 539 00:31:32,534 --> 00:31:34,400 I'm sorry, I just hallucinated. 540 00:31:34,567 --> 00:31:36,067 What? 541 00:31:36,234 --> 00:31:38,667 There's nothing unusual about companies making money from 542 00:31:38,834 --> 00:31:40,367 a global medical breakthrough. 543 00:31:40,534 --> 00:31:44,000 But when the stakes are this high and the profits this big, 544 00:31:44,167 --> 00:31:46,267 it can start to raise questions. 545 00:31:46,434 --> 00:31:50,067 And in a moment already defined by fear and uncertainty, 546 00:31:50,234 --> 00:31:53,000 those questions can quickly turn into something else. 547 00:31:55,467 --> 00:31:58,000 As coronavirus spread and the death toll mounted, 548 00:31:58,167 --> 00:32:01,367 the fear and paranoia rose right along with it. 549 00:32:01,534 --> 00:32:04,400 And conspiracies started to pop up that suggested that maybe 550 00:32:04,567 --> 00:32:07,100 the vaccine wasn't a vaccine at all. 551 00:32:11,400 --> 00:32:14,367 Maybe it was about tracking the population and expanding 552 00:32:14,534 --> 00:32:15,667 government control. 553 00:32:15,834 --> 00:32:17,801 In that version of events, the pandemic itself 554 00:32:17,968 --> 00:32:20,968 wasn't an accident. It was the setup. 555 00:32:21,133 --> 00:32:22,901 How probable is such an idea? 556 00:32:24,400 --> 00:32:27,367 To find out, I'm on my way now to meet with somebody who found 557 00:32:27,534 --> 00:32:30,167 themselves in the center of that very conspiracy. 558 00:32:34,868 --> 00:32:39,267 Biohacker Emil Graafstra runs a medically safe RFID implant 559 00:32:39,434 --> 00:32:41,667 company using radio wave technology for 560 00:32:41,834 --> 00:32:45,000 wireless identification and authentication. 561 00:32:45,167 --> 00:32:47,367 - I've got you at 1153 here. - OK-- I'll pay with tap. 562 00:32:52,000 --> 00:32:55,767 - That's crazy. - That is some cyborg [bleep], dude. 563 00:32:55,934 --> 00:32:57,167 Did it light up under your skin? 564 00:32:57,334 --> 00:32:58,801 Yeah, I kind of forget where it's at. 565 00:32:58,968 --> 00:33:02,000 So when I use it for pass keys on my phone, as I get closer, 566 00:33:02,167 --> 00:33:03,366 it lights up. 567 00:33:03,367 --> 00:33:06,167 When did you start hearing about the connection between 568 00:33:06,334 --> 00:33:07,968 COVID and RFID? 569 00:33:08,133 --> 00:33:09,434 That started almost immediately. 570 00:33:10,767 --> 00:33:13,267 There was a company backed by Bill Gates manufacturing these 571 00:33:13,434 --> 00:33:16,100 syringes that had RFID in the syringe. 572 00:33:16,267 --> 00:33:18,467 And the purpose of that is to be able to track dosing 573 00:33:18,634 --> 00:33:21,767 and usage distribution like a parcel tracking. 574 00:33:21,934 --> 00:33:25,100 But tracking in terms of like real-time locating on a map, 575 00:33:25,267 --> 00:33:26,267 no, that's not what it was doing. 576 00:33:26,434 --> 00:33:28,167 It was tracking the supply chain. 577 00:33:28,334 --> 00:33:29,667 But people were like, Bill Gates, 578 00:33:29,834 --> 00:33:31,868 microchips, you know, and it all fits together. 579 00:33:32,033 --> 00:33:35,167 It's almost hard to deny this stuff because it's so 580 00:33:35,334 --> 00:33:36,901 stupid or strange. 581 00:33:37,067 --> 00:33:39,367 It's really just the kind of combination of 582 00:33:39,534 --> 00:33:41,000 a misunderstanding about the technology. 583 00:33:41,167 --> 00:33:42,467 And, you know, there were people trying to 584 00:33:42,634 --> 00:33:43,767 churn up this distrust. 585 00:33:43,934 --> 00:33:45,901 And so anything becomes possible. 586 00:33:46,067 --> 00:33:48,567 So now people who were already skeptical about being 587 00:33:48,734 --> 00:33:52,667 vaccinated started thinking it has some nefarious intent. 588 00:33:52,834 --> 00:33:55,567 And they'll kill millions, as they already have 589 00:33:55,734 --> 00:33:56,901 with their vaccines. 590 00:33:57,067 --> 00:33:58,968 Everywhere I go, everything is trying to connect to me, 591 00:33:59,133 --> 00:34:00,367 man, like Bluetooth connectivity. 592 00:34:00,534 --> 00:34:03,467 Does the COVID-19 vaccine make you magnetic? 593 00:34:03,634 --> 00:34:04,767 It is magnetic there. 594 00:34:06,100 --> 00:34:08,868 It really started to be a brewing ground 595 00:34:09,033 --> 00:34:10,667 for conspiracy. 596 00:34:10,834 --> 00:34:12,868 So I want to dig into this technology with you deeper. 597 00:34:13,033 --> 00:34:14,266 Yeah. 598 00:34:14,267 --> 00:34:17,000 And I don't think that doing it in a public restaurant is 599 00:34:17,167 --> 00:34:18,367 gonna make anybody very comfortable. 600 00:34:18,534 --> 00:34:20,000 - No. - Do you mind taking a ride with me? 601 00:34:20,167 --> 00:34:21,100 - OK, sure. - Let's do it. 602 00:34:29,267 --> 00:34:31,267 2 All right, man. Welcome to my little abode. 603 00:34:31,434 --> 00:34:32,667 All right. 604 00:34:33,467 --> 00:34:35,868 I've invited biohacker Emil Graafstra to show me 605 00:34:36,033 --> 00:34:38,767 his RFID implant toolkit. 606 00:34:38,934 --> 00:34:41,501 Now that we're in the final stages of our investigation, 607 00:34:41,667 --> 00:34:44,067 I want to test one of the most interesting and out-there 608 00:34:44,234 --> 00:34:47,400 conspiracies and see for myself if a chip can really be 609 00:34:47,567 --> 00:34:49,467 injected into our bodies through a vaccine. 610 00:34:53,167 --> 00:34:55,167 So this is our full actual kit. 611 00:34:55,334 --> 00:34:57,100 This little needle is the actual 612 00:34:57,267 --> 00:35:00,868 cylindrical-shaped implant. - So that's not a little needle. 613 00:35:01,033 --> 00:35:02,167 I could make spaghetti with that. 614 00:35:02,334 --> 00:35:04,000 Yeah, you could, yeah. 615 00:35:04,167 --> 00:35:06,367 But this is the size that's required to fit 616 00:35:06,534 --> 00:35:08,267 the technology inside. 617 00:35:08,434 --> 00:35:10,467 Inversely, we have something that would be used for 618 00:35:10,634 --> 00:35:11,834 a vaccination, right? 619 00:35:12,000 --> 00:35:14,667 So this little guy is what we all get with any vaccine 620 00:35:14,834 --> 00:35:15,968 that we can think of, really. - Yeah. 621 00:35:16,133 --> 00:35:18,100 There is nothing similar about those two. 622 00:35:18,267 --> 00:35:20,300 - No comparison. - That is a massive needle. 623 00:35:20,467 --> 00:35:22,767 Yeah, it has to accommodate that LED, so it's even bigger. 624 00:35:22,934 --> 00:35:25,868 I have to say this, don't try this at home. 625 00:35:27,567 --> 00:35:29,567 Again, it's just under the skin, so it's really only 626 00:35:29,734 --> 00:35:30,667 a couple millimeters deep. 627 00:35:39,601 --> 00:35:40,667 Deposited and then we remove 628 00:35:42,167 --> 00:35:43,167 just like that. 629 00:35:43,334 --> 00:35:44,466 Where would that go on my hand? 630 00:35:44,467 --> 00:35:46,667 Between the index and some metacarpal bones. 631 00:35:46,834 --> 00:35:48,567 And the fascia. 632 00:35:48,734 --> 00:35:50,100 So, you can feel there's a slight bump there. 633 00:35:51,367 --> 00:35:53,000 Wow. 634 00:35:53,167 --> 00:35:55,000 It's similar to this bump in my hand here. 635 00:35:55,167 --> 00:35:56,801 That's not right. 636 00:35:58,100 --> 00:36:00,601 - I'm accustomed to working with fobs that are about this size. - Yeah. 637 00:36:00,767 --> 00:36:03,601 So, what's in this chip is encryption 638 00:36:03,767 --> 00:36:06,667 and the authentication key that was previously in 639 00:36:06,834 --> 00:36:08,367 something like this. - Yeah. 640 00:36:08,534 --> 00:36:12,267 Both of these devices are just there for authenticating that 641 00:36:12,434 --> 00:36:14,167 the user is, in fact, 642 00:36:14,334 --> 00:36:15,968 giving permission for this scan. 643 00:36:16,133 --> 00:36:19,367 It's not the same thing as a transmitter or any kind of 644 00:36:19,534 --> 00:36:21,000 active tracking. - Right. 645 00:36:21,167 --> 00:36:23,767 The conspiracy around the COVID vaccine was that 646 00:36:23,934 --> 00:36:26,667 they may have been able to plant something into a person's 647 00:36:26,834 --> 00:36:27,868 body without their permission... - Mm-hmm. 648 00:36:28,033 --> 00:36:29,567 ...so that could be tracked 649 00:36:29,734 --> 00:36:31,767 24 hours a day, seven days a week. 650 00:36:31,934 --> 00:36:34,000 - Is that what this is? - No. 651 00:36:34,167 --> 00:36:36,167 The range of these things, even your fobs and cards which 652 00:36:36,334 --> 00:36:37,901 are very big in comparison, 653 00:36:38,067 --> 00:36:39,801 they have extremely limited range. 654 00:36:39,968 --> 00:36:41,767 And that's because there's no power source, right? 655 00:36:41,934 --> 00:36:44,267 They derive power from the magnetic field that 656 00:36:44,434 --> 00:36:45,667 the reader generates. 657 00:36:45,834 --> 00:36:47,567 So, this thing only reacts 658 00:36:47,734 --> 00:36:49,968 when power is brought to it. - Yep, exactly. 659 00:36:51,167 --> 00:36:53,267 Because of that, situations where governments 660 00:36:53,434 --> 00:36:55,567 like China are monitoring their entire populace, 661 00:36:55,734 --> 00:36:57,901 they didn't go for this because it's wholly impractical. 662 00:36:58,067 --> 00:37:00,667 You wouldn't set up readers every five feet that people 663 00:37:00,834 --> 00:37:02,167 have to go up to and actually present. 664 00:37:02,334 --> 00:37:03,267 It doesn't work. 665 00:37:03,434 --> 00:37:04,901 But also, putting a thing in a person, 666 00:37:05,067 --> 00:37:05,999 they can just take it out. 667 00:37:06,000 --> 00:37:07,567 So, how would you track a population? 668 00:37:07,734 --> 00:37:10,167 If you're a nefarious actor, you look at what's in 669 00:37:10,334 --> 00:37:12,767 the environment and give them a device that they keep charged 670 00:37:12,934 --> 00:37:14,200 on their own, which is their phone. 671 00:37:16,467 --> 00:37:19,901 How I how ironic it is that people who were reporting that 672 00:37:20,067 --> 00:37:21,901 they believed they were being tracked by the government were 673 00:37:22,067 --> 00:37:24,667 reporting that on social media using their phone. - Yeah. 674 00:37:24,834 --> 00:37:26,767 Which is the best and easiest way 675 00:37:26,934 --> 00:37:28,100 for the government to track you, 676 00:37:28,267 --> 00:37:30,100 not some chip itself. - Yeah. 677 00:37:30,267 --> 00:37:32,501 When I look at the evidence in front of me and I try to run it 678 00:37:32,667 --> 00:37:35,667 up against the theory that the COVID vaccine was really 679 00:37:35,834 --> 00:37:39,100 carrying some sort of microchip, you can literally 680 00:37:39,267 --> 00:37:41,868 see how scientifically difficult it would be to 681 00:37:42,033 --> 00:37:43,501 really do. - Yes, absolutely. 682 00:37:47,300 --> 00:37:51,167 More than any other investigation that we have run 683 00:37:51,334 --> 00:37:53,667 together, this one has been an absolute 684 00:37:53,834 --> 00:37:55,968 emotional roller coaster. 685 00:37:56,133 --> 00:38:00,801 And because it's been so emotional, so controversial, 686 00:38:00,968 --> 00:38:05,767 we have to turn to a CIA tool and try to focus only 687 00:38:05,934 --> 00:38:07,567 on the facts. 688 00:38:07,734 --> 00:38:10,300 These are the four theories we have to explore in this 689 00:38:10,467 --> 00:38:14,667 matrix to try to define which is the most likely explanation 690 00:38:14,834 --> 00:38:17,767 and which are the least likely explanations 691 00:38:17,934 --> 00:38:18,901 for the origin of COVID. 692 00:38:20,200 --> 00:38:22,701 We tracked down some very credible experts. 693 00:38:22,868 --> 00:38:24,367 And when you consider the probability matrix, 694 00:38:24,534 --> 00:38:27,767 you have to consider the reliability of a source 695 00:38:27,934 --> 00:38:29,601 before you consider anything else. 696 00:38:29,767 --> 00:38:33,701 So, let's jump in first with the idea that COVID-19 was 697 00:38:33,868 --> 00:38:36,734 somehow planned to track the population. 698 00:38:39,200 --> 00:38:41,467 We had a conversation with somebody who literally knows 699 00:38:41,634 --> 00:38:45,267 what it's like to plant microchips under their skin. 700 00:38:45,434 --> 00:38:49,667 And we quickly learned you can can't hide a battery-powered 701 00:38:49,834 --> 00:38:52,267 metal chip inside a vaccine. 702 00:38:53,501 --> 00:38:57,300 So, we have to assign the idea as low probability. 703 00:38:59,767 --> 00:39:03,901 Which takes us to the idea that there was a Chinese bioweapon. 704 00:39:06,367 --> 00:39:10,000 We learn the purposeful release of a secret bioweapon works 705 00:39:10,167 --> 00:39:12,767 against all of China's known intentions. 706 00:39:12,934 --> 00:39:16,367 So, we have one of the lowest possible likelihood scores. 707 00:39:20,601 --> 00:39:23,634 So let's get into our third theory, natural spillover. 708 00:39:26,100 --> 00:39:29,901 We have some very strong sources confirming that viruses 709 00:39:30,067 --> 00:39:33,067 do go through a natural evolutionary process that 710 00:39:33,234 --> 00:39:36,901 ultimately makes them highly infectious among human beings. 711 00:39:38,868 --> 00:39:42,167 But multiple experts explain to us that the virus had unique 712 00:39:42,334 --> 00:39:44,200 biochemistry that suggests that 713 00:39:44,367 --> 00:39:46,801 perhaps it didn't come from nature. 714 00:39:49,267 --> 00:39:52,801 While it is possible that there's a natural explanation 715 00:39:52,968 --> 00:39:56,567 for COVID, it may not be the most probable. 716 00:40:00,801 --> 00:40:03,000 Now our fourth and final theory. 717 00:40:05,000 --> 00:40:06,767 An accidental lab leak. 718 00:40:07,767 --> 00:40:10,901 We learned of documentation that showed that this specific 719 00:40:11,067 --> 00:40:12,701 virus could be traced back to 720 00:40:12,868 --> 00:40:15,167 research at the Wuhan Institute of Virology. 721 00:40:16,467 --> 00:40:18,801 Does that mean that we know for certain it was a lab leak? 722 00:40:18,968 --> 00:40:23,000 No, but we have multiple strong sources with demonstrable 723 00:40:23,167 --> 00:40:26,868 evidence that point to this being a likely explanation. 724 00:40:27,033 --> 00:40:29,000 And so when we look at our probability matrix, 725 00:40:30,701 --> 00:40:34,100 this is the best assessment of where COVID-19 came from 726 00:40:35,167 --> 00:40:37,767 based on public evidence today. 727 00:40:41,501 --> 00:40:45,300 Nobody knows when or what the next pandemic 728 00:40:45,467 --> 00:40:48,767 will look like, but we all have a to play in fighting it 729 00:40:48,934 --> 00:40:51,267 early and fighting the misinformation, 730 00:40:51,434 --> 00:40:54,167 the distrust, and the lies that can come with 731 00:40:54,334 --> 00:40:55,767 during a global crisis. 732 00:40:55,934 --> 00:40:58,767 COVID may have began as a biological contagion, 733 00:40:58,934 --> 00:41:01,300 but what followed-- the disconnection, 734 00:41:01,467 --> 00:41:04,801 the doubt, the fear, spread even faster than 735 00:41:04,968 --> 00:41:05,968 the virus itself. 736 00:41:08,400 --> 00:41:10,567 The good news is we're not powerless. 737 00:41:10,734 --> 00:41:12,400 The same tools we use to track 738 00:41:12,567 --> 00:41:15,000 the virus-- evidence, transparency, 739 00:41:15,167 --> 00:41:18,167 curiosity, critical thinking, can also help us 740 00:41:18,334 --> 00:41:20,100 fight misinformation. 741 00:41:20,267 --> 00:41:23,467 Because maybe the real lesson behind COVID isn't just how 742 00:41:23,634 --> 00:41:26,868 viruses spread, but how important it is that 743 00:41:27,033 --> 00:41:29,100 the truth spreads faster. 61037

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