1 00:00:00,240 --> 00:00:04,680 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,760 --> 00:00:09,080 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,039 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,200 --> 00:00:25,840 Speaker 1: production of Iheartradiot. Hello, welcome back to the show. My 5 00:00:25,960 --> 00:00:29,400 Speaker 1: name is Matt, my name is Noel. They called me Ben. 6 00:00:29,520 --> 00:00:33,479 Speaker 1: We are joined with our guest producer, Max freight Train Williams. 7 00:00:33,520 --> 00:00:36,599 Speaker 1: Most importantly, you are you. You are here, and that 8 00:00:36,640 --> 00:00:40,239 Speaker 1: makes this the stuff they don't want you to know. 9 00:00:40,880 --> 00:00:44,639 Speaker 1: You know, guys and fellow conspiracy realists, it seems like 10 00:00:44,960 --> 00:00:49,080 Speaker 1: years ago now. Oh wait, it was when a particularly 11 00:00:49,320 --> 00:00:53,160 Speaker 1: terrifying virus locked down the world in a global pandemic, 12 00:00:53,560 --> 00:00:56,960 Speaker 1: and we got a lot of mail you'll remember from 13 00:00:57,040 --> 00:01:00,960 Speaker 1: people saying that we had quote unquote Dick did a 14 00:01:01,040 --> 00:01:06,240 Speaker 1: global pandemic years before, and that is true, but it's 15 00:01:06,280 --> 00:01:09,520 Speaker 1: a little overgenerous. We just looked at the numbers, We 16 00:01:09,640 --> 00:01:12,319 Speaker 1: did a little bit of cocktail napkin math, and we 17 00:01:12,440 --> 00:01:16,759 Speaker 1: knew that a pandemic of some sort was inevitable. This 18 00:01:16,840 --> 00:01:20,160 Speaker 1: time around, it came in the form of COVID nineteen 19 00:01:20,760 --> 00:01:24,880 Speaker 1: and there's been a you know, it's been a little controversial. 20 00:01:25,040 --> 00:01:28,840 Speaker 1: I guess you could say of right now, twenty twenty 21 00:01:28,840 --> 00:01:33,520 Speaker 1: three years after COVID officially hit, what we on this 22 00:01:33,560 --> 00:01:36,680 Speaker 1: show and what the rest of the world cannot figure 23 00:01:36,720 --> 00:01:42,360 Speaker 1: out is simply this, where did it come from? Here 24 00:01:42,400 --> 00:01:46,160 Speaker 1: are the facts? I mean from the start, it was 25 00:01:46,240 --> 00:01:49,560 Speaker 1: sort of sketchy the whole thing. And the sketchiest part 26 00:01:49,600 --> 00:01:54,200 Speaker 1: I think was that different governments kind of disagreed, like 27 00:01:54,440 --> 00:01:57,720 Speaker 1: there was all of this lack of common ground, you know, 28 00:01:58,240 --> 00:02:00,800 Speaker 1: in a global pandemic as far as like where the 29 00:02:00,800 --> 00:02:03,320 Speaker 1: thing came from. From the get go, people thought there 30 00:02:03,400 --> 00:02:06,640 Speaker 1: was something amiss about COVID nineteen. So here's kind of 31 00:02:06,640 --> 00:02:09,560 Speaker 1: the rundown of what that would look. The scuttle butt 32 00:02:09,639 --> 00:02:13,320 Speaker 1: was from the Start stars Cove two street name, COVID 33 00:02:13,400 --> 00:02:20,840 Speaker 1: nineteen aka the Rona aka Corona, any number of you know, 34 00:02:21,120 --> 00:02:24,760 Speaker 1: colloquial kind of versions of that first visually hit human 35 00:02:24,800 --> 00:02:28,960 Speaker 1: beings in wuhan Hebay, China in December of twenty nineteen, 36 00:02:29,680 --> 00:02:34,280 Speaker 1: or was it November or was it twenty twenty. This 37 00:02:34,600 --> 00:02:38,320 Speaker 1: this timeline has been a miss from the start. Y'all 38 00:02:38,360 --> 00:02:42,120 Speaker 1: will recall that January February of twenty twenty, I was 39 00:02:42,120 --> 00:02:44,799 Speaker 1: pretty sick with something that I think I later determined, 40 00:02:44,880 --> 00:02:48,200 Speaker 1: after getting a positive antibody test once those became available 41 00:02:48,280 --> 00:02:50,920 Speaker 1: much later, to have been COVID. And I think we 42 00:02:50,960 --> 00:02:54,120 Speaker 1: all knew people that were sick earlier than the official 43 00:02:54,160 --> 00:02:57,480 Speaker 1: timeline would have said was possible. Now. Not to call 44 00:02:57,639 --> 00:03:00,920 Speaker 1: Matt nor myself paranoid or what ever, but I do 45 00:03:01,080 --> 00:03:04,720 Speaker 1: distinctly remember us in the studio going, are you sure 46 00:03:04,760 --> 00:03:09,280 Speaker 1: that's not COVID? Man? Are you sure? We were still 47 00:03:09,320 --> 00:03:13,200 Speaker 1: in the stages of like is it here, It's not here. 48 00:03:13,240 --> 00:03:15,280 Speaker 1: We're hearing about this is a thing that happens to 49 00:03:15,360 --> 00:03:18,280 Speaker 1: other people, yes, you know, and even like our our 50 00:03:18,480 --> 00:03:21,920 Speaker 1: lovely office manager at the time, Tamika, who's now moved 51 00:03:21,960 --> 00:03:24,919 Speaker 1: on to other roles within the company, was looking at 52 00:03:24,919 --> 00:03:28,480 Speaker 1: me askance, you know, kind of like being extra cautious, 53 00:03:28,760 --> 00:03:31,120 Speaker 1: but not like at the point of like you gotta go, 54 00:03:31,480 --> 00:03:33,760 Speaker 1: you know what I mean, Because I was sniffily and 55 00:03:33,800 --> 00:03:35,040 Speaker 1: I was in the office, but it was this thing 56 00:03:35,080 --> 00:03:37,280 Speaker 1: that I get every year around that time, and I 57 00:03:37,320 --> 00:03:39,920 Speaker 1: was just being careful. But it was also like it 58 00:03:40,000 --> 00:03:43,080 Speaker 1: was not at that level of paranoia that we all 59 00:03:43,200 --> 00:03:47,920 Speaker 1: soon came to experience. Well maybe not for you, okay. 60 00:03:48,320 --> 00:03:53,680 Speaker 1: I remember distinctly null with look man behind closed doors, 61 00:03:54,960 --> 00:03:56,560 Speaker 1: Ben and I can be a little bit on the 62 00:03:56,760 --> 00:03:59,880 Speaker 1: hyper vigilant. Uh what do we call it a spectrum 63 00:04:00,920 --> 00:04:04,920 Speaker 1: when it comes to things like this. I remember we 64 00:04:05,000 --> 00:04:08,120 Speaker 1: had conversations Ben, there was there. We were still looking 65 00:04:08,120 --> 00:04:11,200 Speaker 1: at our conspiracy around that time, and that's when we 66 00:04:11,280 --> 00:04:15,600 Speaker 1: learned about doctor Lee Lee when Liang, I think is 67 00:04:15,640 --> 00:04:18,039 Speaker 1: how you would say it. It was a doctor who 68 00:04:18,160 --> 00:04:20,800 Speaker 1: was you know, who was called a kuk. He was 69 00:04:20,839 --> 00:04:23,880 Speaker 1: a whistleblower early on. He was saying, Hey, there's a 70 00:04:23,920 --> 00:04:26,520 Speaker 1: new stars thing. It's happening right now. It's infecting a 71 00:04:26,600 --> 00:04:29,520 Speaker 1: lot of people. It's real. And he got shut down 72 00:04:29,640 --> 00:04:31,560 Speaker 1: quite a bit and he ended up passing away in 73 00:04:31,600 --> 00:04:34,919 Speaker 1: February of twenty twenty, which is around that same time 74 00:04:35,480 --> 00:04:38,200 Speaker 1: that you had your New York trip. No. Well, also, 75 00:04:38,480 --> 00:04:41,880 Speaker 1: you know, there's clearly a fog of war thing going on, 76 00:04:42,080 --> 00:04:46,120 Speaker 1: and we the three of us folks actually our whole 77 00:04:46,120 --> 00:04:48,920 Speaker 1: stuff they want you know team, which includes you. We 78 00:04:48,920 --> 00:04:53,160 Speaker 1: were operating with limited information and we only knew a 79 00:04:53,360 --> 00:04:59,200 Speaker 1: few things. One something dangerous was sweeping the globe. Two, 80 00:05:00,720 --> 00:05:03,679 Speaker 1: a lot of power structures were not telling the entire 81 00:05:03,760 --> 00:05:07,000 Speaker 1: truth about it. Those two things are indisputable facts, and 82 00:05:07,120 --> 00:05:12,640 Speaker 1: from them springs conspiracy. Like when we're talking about like less, 83 00:05:12,800 --> 00:05:18,240 Speaker 1: anyone denigrate us for talking casually about one of us 84 00:05:18,279 --> 00:05:21,440 Speaker 1: having like having a cold. That's how it presented, right, 85 00:05:21,560 --> 00:05:25,960 Speaker 1: Lest anyone say that we weren't up on our p's 86 00:05:26,040 --> 00:05:29,760 Speaker 1: and ques there, you have to remember that, first off, 87 00:05:29,960 --> 00:05:32,000 Speaker 1: we know each other really well. We hang out all 88 00:05:32,000 --> 00:05:34,720 Speaker 1: the time. We can tell when something's off. And secondly, 89 00:05:35,560 --> 00:05:38,239 Speaker 1: we like the rest of the world, we're not read 90 00:05:38,360 --> 00:05:42,120 Speaker 1: onto some top secret data. We didn't have clues, you know. 91 00:05:42,240 --> 00:05:47,680 Speaker 1: And later investigations would prove that the purported or the 92 00:05:47,720 --> 00:05:52,159 Speaker 1: proposed official timeline the first game out was woefully incorrect, 93 00:05:52,520 --> 00:05:57,440 Speaker 1: and I would argue partially by design. ABC News reported 94 00:05:57,440 --> 00:06:04,520 Speaker 1: that the American National Center for Medical Intelligence or which 95 00:06:04,560 --> 00:06:09,719 Speaker 1: is a thing they okay, right, they shared, they shared 96 00:06:09,760 --> 00:06:12,359 Speaker 1: some info they had and they said, look, as early 97 00:06:12,400 --> 00:06:16,880 Speaker 1: as November of twenty nineteen, people had clocked that there 98 00:06:17,000 --> 00:06:20,360 Speaker 1: was a new sort of respiratory disease in the area. 99 00:06:20,560 --> 00:06:24,800 Speaker 1: The Pentagon at the time denied this. The US government 100 00:06:24,880 --> 00:06:29,839 Speaker 1: did not agree. And then fast forward March twenty twenty, 101 00:06:30,680 --> 00:06:35,480 Speaker 1: the public learns that the Chinese government had records suggesting 102 00:06:35,720 --> 00:06:39,440 Speaker 1: that the first case of COVID nineteen infection could be 103 00:06:39,480 --> 00:06:43,400 Speaker 1: traced back to a fifty five year old resident of 104 00:06:43,880 --> 00:06:48,080 Speaker 1: where you mentioned, Noel who by on seventeenth November or 105 00:06:48,160 --> 00:06:52,040 Speaker 1: November seventeenth. It certainly doesn't appear to be as extreme 106 00:06:52,520 --> 00:06:55,920 Speaker 1: an example, but I can't help but think about Chernobyl 107 00:06:56,200 --> 00:07:00,240 Speaker 1: and how that information was siloed to such an alarming degree, 108 00:07:01,080 --> 00:07:04,960 Speaker 1: how how much it was held back even despite you know, 109 00:07:05,080 --> 00:07:08,520 Speaker 1: the way it could have potential impact to other parts 110 00:07:08,560 --> 00:07:11,360 Speaker 1: of the world, because nobody wanted to admit that they 111 00:07:11,360 --> 00:07:16,720 Speaker 1: had done anything wrong in the Russian government. M I mean, yeah, 112 00:07:17,000 --> 00:07:21,720 Speaker 1: so it goes right, nobody wants to stand up and say, ah, 113 00:07:21,720 --> 00:07:26,000 Speaker 1: that was me, that was our fault. Geez party foul, 114 00:07:26,600 --> 00:07:31,200 Speaker 1: my bad. Probably get fired. We'll get you another island. 115 00:07:31,240 --> 00:07:34,119 Speaker 1: This one will have four miles, don't worry about it. Better, idea, 116 00:07:34,240 --> 00:07:36,880 Speaker 1: let's pin it on this intern we'll get We'll get 117 00:07:36,920 --> 00:07:41,040 Speaker 1: them fired and then I'll get a commendation or literally 118 00:07:41,200 --> 00:07:46,280 Speaker 1: just say we don't know what's going on. There's a 119 00:07:46,480 --> 00:07:51,040 Speaker 1: there's a wet market over there, and let's pretend that does. 120 00:07:51,520 --> 00:07:55,640 Speaker 1: That doesn't exist in other countries, right, So one thing 121 00:07:55,720 --> 00:08:00,640 Speaker 1: is inarguably clear. The people in power knew something was 122 00:08:00,720 --> 00:08:03,880 Speaker 1: hinky to borrow a phrase from our pal chuck over 123 00:08:04,040 --> 00:08:06,520 Speaker 1: stuff you should know, and they didn't disclose it to 124 00:08:06,520 --> 00:08:09,760 Speaker 1: the public. The government of China also fed the flames 125 00:08:09,800 --> 00:08:13,880 Speaker 1: of speculation and allegation because they stone walled the hell 126 00:08:13,920 --> 00:08:17,920 Speaker 1: out of everything and has the months wound on. People 127 00:08:18,480 --> 00:08:22,920 Speaker 1: with very limited access to information started arguing all kinds 128 00:08:22,920 --> 00:08:26,840 Speaker 1: of stuff was COVID nineteen, a zoonotic or animal to 129 00:08:26,960 --> 00:08:30,880 Speaker 1: human infection that was caused by low sanitation standards at 130 00:08:30,880 --> 00:08:35,360 Speaker 1: the Hunan seafood wholesale market. I mean, it's not the 131 00:08:35,440 --> 00:08:38,959 Speaker 1: cleanest place, but we have waffle house in the south, 132 00:08:39,000 --> 00:08:41,599 Speaker 1: so who are we to judge and wet market. It 133 00:08:41,760 --> 00:08:43,760 Speaker 1: is just kind of like a colloquial sorry, he's like 134 00:08:43,800 --> 00:08:45,520 Speaker 1: you using that word. That's fine, word of the day, 135 00:08:45,520 --> 00:08:48,559 Speaker 1: I guess, sort of expression for what just an open 136 00:08:48,640 --> 00:08:51,920 Speaker 1: air seafood market. There's maybe a little on the touching 137 00:08:52,000 --> 00:08:57,720 Speaker 1: goes side as far as standardized sanitation laws, not just seafood. Yeah, yeah, 138 00:08:57,920 --> 00:09:00,120 Speaker 1: great point, Matt. It really just means a market that 139 00:09:00,240 --> 00:09:06,079 Speaker 1: sells fresh things, fresh meat, fresh fish, fresh produce. Later 140 00:09:06,120 --> 00:09:09,599 Speaker 1: evidence would come to show that the Hunan seafood wholesale 141 00:09:09,640 --> 00:09:14,400 Speaker 1: market also was illegally selling some life forms up to 142 00:09:14,640 --> 00:09:21,319 Speaker 1: and including the notoriously adorable raccoon dog aka Tanuki, so 143 00:09:21,720 --> 00:09:26,240 Speaker 1: that one the Mario one Old Big Balls so forth. 144 00:09:27,320 --> 00:09:32,040 Speaker 1: For most of the discourse in the following years, scientists 145 00:09:32,040 --> 00:09:36,120 Speaker 1: have maintained that the virus probably jumped from an animal 146 00:09:36,480 --> 00:09:40,200 Speaker 1: to a human at the seafood market at some point 147 00:09:41,080 --> 00:09:44,640 Speaker 1: in mid to late twenty nineteen, and a lot of 148 00:09:44,640 --> 00:09:48,400 Speaker 1: research about that has been published. But there are other 149 00:09:48,440 --> 00:09:52,760 Speaker 1: claims also from legit scientists, arguing that the virus leapt 150 00:09:52,880 --> 00:09:56,880 Speaker 1: from humans to animals rather than the other way around, 151 00:09:57,360 --> 00:10:03,680 Speaker 1: and that research, some would argue, gets shut down more 152 00:10:03,760 --> 00:10:06,839 Speaker 1: quickly or is less likely to be published. Or there's 153 00:10:06,840 --> 00:10:10,120 Speaker 1: the other idea. Was it the result of secret experimentation 154 00:10:10,240 --> 00:10:14,480 Speaker 1: in a nearby lab facility, possibly even a biological weapon 155 00:10:14,520 --> 00:10:19,120 Speaker 1: experiment gone wrong. Well, there does happen to be the 156 00:10:19,360 --> 00:10:23,560 Speaker 1: Wuhan Institute of Virology right in that neck of the 157 00:10:23,559 --> 00:10:29,760 Speaker 1: global woods, and they conduct experiments of research on coronavirus 158 00:10:29,800 --> 00:10:33,520 Speaker 1: in various animals, including bats, which is where the Wuhan 159 00:10:34,120 --> 00:10:37,360 Speaker 1: bat thing took off. That's where it originated. And then 160 00:10:37,400 --> 00:10:40,679 Speaker 1: there's a course, well, they specialize in gain of function 161 00:10:40,840 --> 00:10:43,720 Speaker 1: research there, Yes, and Matt, what is gain of function? 162 00:10:44,160 --> 00:10:50,000 Speaker 1: That's changing a virus, making changes to the virus to 163 00:10:50,480 --> 00:10:55,520 Speaker 1: make it more potent or have the ability to infect 164 00:10:55,559 --> 00:10:58,240 Speaker 1: other species or to an infect in a different way 165 00:10:59,440 --> 00:11:03,880 Speaker 1: through different means. And it's literally a way to test 166 00:11:05,920 --> 00:11:10,360 Speaker 1: for contingencies. Right. So, if you can make let's say 167 00:11:10,400 --> 00:11:15,640 Speaker 1: stars scarier to humans, stars of a particular strain that 168 00:11:15,720 --> 00:11:18,840 Speaker 1: can now infect humans because you've made it infect humans 169 00:11:18,840 --> 00:11:21,480 Speaker 1: within your lab, right now, you can test that out 170 00:11:21,520 --> 00:11:25,000 Speaker 1: on human cells and you can come up with, Okay, well, 171 00:11:25,040 --> 00:11:28,080 Speaker 1: here's how infectious this would be if it did become 172 00:11:28,120 --> 00:11:33,760 Speaker 1: pathogenic for humans, right right, Yeah, and an excellent, excellent 173 00:11:33,840 --> 00:11:37,120 Speaker 1: explanation of that. This could also if you want to 174 00:11:37,120 --> 00:11:39,720 Speaker 1: be crassed, this could be a bunch of people staying 175 00:11:39,760 --> 00:11:43,400 Speaker 1: around in a lab and saying, our boss wants to 176 00:11:43,440 --> 00:11:48,640 Speaker 1: know what would happen if herpes was airborne? So fun, Yes, 177 00:11:50,400 --> 00:11:52,079 Speaker 1: but this is a very real thing. We're going to 178 00:11:52,160 --> 00:11:54,960 Speaker 1: talk about it. But this type of research, while it 179 00:11:55,120 --> 00:12:00,360 Speaker 1: can be extremely dangerous, can be extremely helpful in case 180 00:12:00,520 --> 00:12:06,200 Speaker 1: of a major problem or a pandemic if it's contained right, right, 181 00:12:06,240 --> 00:12:08,280 Speaker 1: which we're gonna we're gonna get to. That's a huge 182 00:12:08,320 --> 00:12:11,160 Speaker 1: piece of it. I'd like to give a special shout 183 00:12:11,200 --> 00:12:13,800 Speaker 1: out to one of my favorite pet theories. Unproven at 184 00:12:13,840 --> 00:12:18,320 Speaker 1: this point, but it's just a juice recommendation. Uh no, no, 185 00:12:18,360 --> 00:12:21,160 Speaker 1: not yet yet. Well maybe, but here's the idea, the 186 00:12:21,400 --> 00:12:25,320 Speaker 1: one of the third one of the third theories for 187 00:12:25,400 --> 00:12:28,760 Speaker 1: the origin is that it could have not only been designed, 188 00:12:29,120 --> 00:12:31,920 Speaker 1: but it could have been planted in China via the 189 00:12:31,960 --> 00:12:35,480 Speaker 1: actions of a foreign rival government. And if so, how 190 00:12:35,520 --> 00:12:38,040 Speaker 1: would they do that, how would they have access? Why 191 00:12:38,080 --> 00:12:41,079 Speaker 1: would they do that? Because as as we see COVID, 192 00:12:42,960 --> 00:12:49,200 Speaker 1: COVID draws no ideological distinctions. Right, a person who is 193 00:12:49,679 --> 00:12:53,319 Speaker 1: super into the US will get infected just as easily 194 00:12:53,360 --> 00:12:58,600 Speaker 1: as this person who's super into Iran or Benin or China. 195 00:12:58,679 --> 00:13:02,360 Speaker 1: It really doesn't matter. A virus. Viruses are kind of 196 00:13:02,440 --> 00:13:05,640 Speaker 1: on the edge of what science does or does not 197 00:13:05,760 --> 00:13:10,280 Speaker 1: consider a living thing. It's nuts, So the world struggling 198 00:13:10,320 --> 00:13:14,800 Speaker 1: for answers. No one can one hundred percent confirm anything. 199 00:13:15,720 --> 00:13:19,480 Speaker 1: Of course, racism rears its ugly head, and the United 200 00:13:19,559 --> 00:13:25,000 Speaker 1: States alone, prejudice and attacks against Asian Americans skyrocket and 201 00:13:25,080 --> 00:13:29,200 Speaker 1: continue today. Because people just had this sort of weird 202 00:13:29,240 --> 00:13:32,800 Speaker 1: association in their head. They're like, Oh, there's a person 203 00:13:32,960 --> 00:13:37,080 Speaker 1: who looks like their ancestors at some point. We're from Asia, 204 00:13:37,480 --> 00:13:42,280 Speaker 1: and I know that China is where the coronavirus came through. 205 00:13:42,679 --> 00:13:46,880 Speaker 1: So I am going to ruin everybody's life today. And 206 00:13:46,920 --> 00:13:50,079 Speaker 1: this is scary because people were reacting from a place 207 00:13:50,080 --> 00:13:52,480 Speaker 1: of fear, and then we're just trying to channel that 208 00:13:52,559 --> 00:13:58,240 Speaker 1: fear and anger toward other innocent people, which happens all 209 00:13:58,280 --> 00:14:00,880 Speaker 1: too often. As we're recording today, there was another mass 210 00:14:00,960 --> 00:14:05,200 Speaker 1: shooting in Nashville. So the world only knew one thing 211 00:14:05,280 --> 00:14:08,960 Speaker 1: for sure. They knew that COVID nineteen, however it came 212 00:14:09,000 --> 00:14:14,320 Speaker 1: to be, was on a very deadly world tour and 213 00:14:14,520 --> 00:14:17,920 Speaker 1: it didn't take long for it to up in society. Right. 214 00:14:17,960 --> 00:14:20,640 Speaker 1: It hit every continent outside of Antarctica. Do you guys 215 00:14:20,680 --> 00:14:24,480 Speaker 1: think it got to Antarctica? I think it maybe did. 216 00:14:26,160 --> 00:14:30,040 Speaker 1: It looks like it. I'm just we're cooking live right now. 217 00:14:30,080 --> 00:14:35,080 Speaker 1: But according to science dot Org from November of last year, yes, 218 00:14:35,280 --> 00:14:40,680 Speaker 1: McMurdo station had an outbreak of COVID. It's hit most 219 00:14:40,720 --> 00:14:42,880 Speaker 1: of the world at this point. As a matter of 220 00:14:42,960 --> 00:14:45,080 Speaker 1: fact of years back. I can't remember if we talked 221 00:14:45,080 --> 00:14:49,680 Speaker 1: about this on air. We speculated about which human communities, 222 00:14:49,840 --> 00:14:55,640 Speaker 1: if any, would not encounter SARS Cove two, and we 223 00:14:55,840 --> 00:14:59,120 Speaker 1: found that, you know, the most likely candidate is probably 224 00:14:59,160 --> 00:15:03,000 Speaker 1: Sentinel Eye at this point, yeah, probably, like the only 225 00:15:03,080 --> 00:15:11,360 Speaker 1: one best COVID prevention weapon is an arrow, bow and arrow, right, 226 00:15:12,240 --> 00:15:16,040 Speaker 1: or at the very least severe isolation from the outside world, 227 00:15:16,520 --> 00:15:21,760 Speaker 1: bow and arrow, the original vaccination, any original birth control 228 00:15:22,160 --> 00:15:27,480 Speaker 1: get away. Do check out our earlier episode on Sentinel Island. 229 00:15:27,600 --> 00:15:29,840 Speaker 1: It's an amazing story. But what we're saying is it's 230 00:15:29,880 --> 00:15:33,840 Speaker 1: spread everywhere, and your faithful correspondence here. When we were 231 00:15:34,120 --> 00:15:38,280 Speaker 1: recording our initial episodes on COVID, we were also working 232 00:15:38,320 --> 00:15:42,160 Speaker 1: with limited information. And I think I want to speak 233 00:15:42,200 --> 00:15:45,480 Speaker 1: for everybody on the air today, but I know that 234 00:15:45,640 --> 00:15:50,880 Speaker 1: I fell into a lack of objectivity on some aspects 235 00:15:50,880 --> 00:15:57,160 Speaker 1: of this because the I find racism so fundamentally unclean 236 00:15:58,120 --> 00:16:02,960 Speaker 1: that when that I started, I started thinking in terms 237 00:16:02,960 --> 00:16:08,080 Speaker 1: of association rather than in terms of facts and dismissed 238 00:16:08,840 --> 00:16:11,960 Speaker 1: some of the lab league stuff earlier than I should have. 239 00:16:12,040 --> 00:16:14,600 Speaker 1: And that's my may oculta. And we're going to see 240 00:16:14,640 --> 00:16:16,960 Speaker 1: that at play today too. Well, let's talk about that, 241 00:16:17,000 --> 00:16:20,080 Speaker 1: because that's something the BBC points out really well in 242 00:16:20,160 --> 00:16:22,080 Speaker 1: some of the reporting that they've done over the years. 243 00:16:22,680 --> 00:16:27,840 Speaker 1: At the time, early on in the pandemic, the President 244 00:16:28,160 --> 00:16:31,320 Speaker 1: was coming forward and publicly speaking about things like the 245 00:16:31,400 --> 00:16:34,720 Speaker 1: lab League, right, and depending on how you felt about 246 00:16:34,760 --> 00:16:38,680 Speaker 1: that president and the way he spoke specifically about China, 247 00:16:38,880 --> 00:16:42,040 Speaker 1: and I know it's a little strange to think about it, 248 00:16:42,040 --> 00:16:45,560 Speaker 1: but some of the other public statements that the President 249 00:16:45,600 --> 00:16:50,040 Speaker 1: had made about China seemed to be very negative in 250 00:16:50,040 --> 00:16:52,840 Speaker 1: a way that would almost be considered racist, if not 251 00:16:52,920 --> 00:16:57,960 Speaker 1: fully you considered racist. That it changed the way I 252 00:16:58,000 --> 00:17:01,400 Speaker 1: think the American public felt about statement about something like 253 00:17:01,440 --> 00:17:06,560 Speaker 1: the lab league and COVID. Despite ideology and racism, I 254 00:17:06,560 --> 00:17:11,240 Speaker 1: would argue, racism is just another flawed audiology. Despite all 255 00:17:11,280 --> 00:17:15,920 Speaker 1: these trappings of human society. COVID being a virus, spread 256 00:17:16,560 --> 00:17:20,040 Speaker 1: didn't get stopped. It continues to spread today, and honestly, 257 00:17:20,359 --> 00:17:22,880 Speaker 1: the scary bart no one sure what sort of long 258 00:17:23,000 --> 00:17:27,800 Speaker 1: term consequences are in play. This virus is unpredictable because 259 00:17:28,000 --> 00:17:30,639 Speaker 1: you know, for some people, if you're fortunate, it's on 260 00:17:30,680 --> 00:17:32,960 Speaker 1: the level of a cold at times, so tame, you 261 00:17:33,040 --> 00:17:36,080 Speaker 1: might know who you are infected, and then it progresses 262 00:17:36,080 --> 00:17:37,720 Speaker 1: all the way through a spectrum where it can be 263 00:17:37,760 --> 00:17:42,360 Speaker 1: a fatal condition. Currently, as of March twenty twenty three, 264 00:17:42,480 --> 00:17:46,640 Speaker 1: almost seven million people across the world have officially died 265 00:17:46,760 --> 00:17:51,000 Speaker 1: due to COVID, and to be quite transparent with you, 266 00:17:51,400 --> 00:17:55,119 Speaker 1: that number is likely far higher. People are a little 267 00:17:55,119 --> 00:17:58,480 Speaker 1: bit spooked about digging in and no one's quite sure 268 00:17:58,520 --> 00:18:02,200 Speaker 1: what long COVID means for the world. Vaccinations came into play, 269 00:18:02,320 --> 00:18:06,800 Speaker 1: Big pharma made a fortune around the planet. People politicize 270 00:18:06,880 --> 00:18:11,840 Speaker 1: the idea of vaccination. But despite all this, let's see 271 00:18:11,880 --> 00:18:15,160 Speaker 1: let's the names cover ups and conspiracies real quick. So 272 00:18:15,240 --> 00:18:19,040 Speaker 1: despite a initial cover up from the Chinese government true B. 273 00:18:19,520 --> 00:18:23,280 Speaker 1: The conspiracy amid politicians to make bank off insider info 274 00:18:23,440 --> 00:18:29,119 Speaker 1: also true see price gouging true D, the PPP grift 275 00:18:29,640 --> 00:18:33,320 Speaker 1: true and everything else. The world started to seem like 276 00:18:33,680 --> 00:18:37,960 Speaker 1: everybody kind of agreed COVID came from this seafood market. 277 00:18:38,400 --> 00:18:42,359 Speaker 1: The Chinese government, their cover up that continues helped the 278 00:18:42,440 --> 00:18:46,320 Speaker 1: thing spread, but there wasn't a realistic way from stopping 279 00:18:46,359 --> 00:18:50,639 Speaker 1: it from spreading. And everybody said, Okay, we're in a 280 00:18:50,720 --> 00:18:55,639 Speaker 1: crap spot. It came from this, this seafood market or 281 00:18:55,680 --> 00:18:59,080 Speaker 1: this wet market, and we have to figure out how 282 00:18:59,160 --> 00:19:03,520 Speaker 1: to help you man a d survive until that is white. Recently, 283 00:19:03,960 --> 00:19:07,919 Speaker 1: when the United States came out and said, hey, the 284 00:19:07,920 --> 00:19:14,639 Speaker 1: biggest conspiracy theory is true COVID nineteen, they say came 285 00:19:14,800 --> 00:19:21,600 Speaker 1: from a lab. What US government? We had a complicate things. 286 00:19:21,720 --> 00:19:23,760 Speaker 1: We already kind of we already put that one into bad. 287 00:19:23,880 --> 00:19:26,719 Speaker 1: No one was even talking about this anymore. It's weird, 288 00:19:27,720 --> 00:19:31,640 Speaker 1: you know, man. Yeah, there's reasons. There's reasons. We're gonna 289 00:19:31,640 --> 00:19:35,560 Speaker 1: get into why maybe all of a sudden stuff's changing. 290 00:19:35,960 --> 00:19:37,439 Speaker 1: The only thing I would add to that list, by 291 00:19:37,440 --> 00:19:41,520 Speaker 1: the way, Bend is mr NA vaccine technology was approved 292 00:19:41,720 --> 00:19:46,199 Speaker 1: during a state of emergency. It was rushed right like 293 00:19:46,280 --> 00:19:49,439 Speaker 1: it was sort of like a special situation where they 294 00:19:49,440 --> 00:19:51,600 Speaker 1: were able to kind of like fast track it, and 295 00:19:52,200 --> 00:19:55,400 Speaker 1: you get in situations we're gonna go at an ad 296 00:19:55,400 --> 00:20:06,600 Speaker 1: break situation, we'll grt back. Here's where it gets crazy. 297 00:20:07,760 --> 00:20:12,000 Speaker 1: In February of twenty twenty three, FBI Director Christopher Ray 298 00:20:12,240 --> 00:20:16,480 Speaker 1: spoke on Fox News and said the following the FBI 299 00:20:16,600 --> 00:20:19,879 Speaker 1: has for quite some time now assessed that the origins 300 00:20:19,880 --> 00:20:23,439 Speaker 1: of the pandemic are most likely a potential lab laque 301 00:20:23,560 --> 00:20:27,679 Speaker 1: incident in Wuhan, as in Wuhan, China. This is a 302 00:20:27,760 --> 00:20:30,439 Speaker 1: clip you can hear right now. It was, I believe, 303 00:20:30,480 --> 00:20:33,040 Speaker 1: on CNN the first time I heard it. It's also 304 00:20:33,080 --> 00:20:35,760 Speaker 1: on BBC. You can find it everywhere. Yeah, and this 305 00:20:35,840 --> 00:20:38,880 Speaker 1: is not the same thing as you know, the trope 306 00:20:38,920 --> 00:20:43,000 Speaker 1: of a crazy uncle on Facebook or some anonymous armchair 307 00:20:43,080 --> 00:20:47,600 Speaker 1: expert on Reddit. Director Ray has access to things the 308 00:20:47,920 --> 00:20:51,399 Speaker 1: vast majority of the US and the world public will 309 00:20:51,840 --> 00:20:57,320 Speaker 1: never see. But who asked for this? Like, I mean, 310 00:20:57,520 --> 00:21:01,080 Speaker 1: was there some sort of ongoing investigation that we were 311 00:21:01,080 --> 00:21:03,080 Speaker 1: all waiting on the edge of our seats for a 312 00:21:03,119 --> 00:21:08,320 Speaker 1: response about. I don't think so. There were ongoing investigations, 313 00:21:09,040 --> 00:21:11,040 Speaker 1: but it wasn't a big PR move. It wasn't like 314 00:21:11,040 --> 00:21:12,520 Speaker 1: we're going to get to the bottom of this the 315 00:21:12,560 --> 00:21:15,359 Speaker 1: American people and you just wait, you know, Uncle Sam's 316 00:21:15,359 --> 00:21:17,320 Speaker 1: got your back. I just feel like it kind of 317 00:21:17,320 --> 00:21:19,160 Speaker 1: fizzled a little bit. And if there were, of course 318 00:21:19,200 --> 00:21:21,920 Speaker 1: it would be happening internally. But usually those things are 319 00:21:22,000 --> 00:21:26,159 Speaker 1: used as like a PR bludgeon, you know. Yeah, the 320 00:21:26,240 --> 00:21:32,880 Speaker 1: thing is the classification. Honestly, like they can't. They can't say, Oh, 321 00:21:32,920 --> 00:21:36,280 Speaker 1: we're finding out something super secret and super special, and 322 00:21:37,080 --> 00:21:39,840 Speaker 1: we just want you to know that we're not going 323 00:21:39,880 --> 00:21:43,080 Speaker 1: to tell you what it is. We're doing it, but 324 00:21:43,880 --> 00:21:46,360 Speaker 1: that's all we can tell you. And that's Ray confirmed 325 00:21:46,400 --> 00:21:49,879 Speaker 1: as much when he got pressed on this question in 326 00:21:49,920 --> 00:21:52,800 Speaker 1: the Fox News interview and he said, quote, there's not 327 00:21:52,920 --> 00:21:56,760 Speaker 1: a whole lot of details I can share that aren't classified. Yes, 328 00:21:57,160 --> 00:21:59,800 Speaker 1: we know technically he should have said there are not 329 00:22:00,480 --> 00:22:02,359 Speaker 1: a lot of details, but he's got a lot of 330 00:22:02,359 --> 00:22:05,920 Speaker 1: stuff going on. It's a weird situation, right for the 331 00:22:05,960 --> 00:22:08,159 Speaker 1: director of the FBI to come out and say that 332 00:22:08,280 --> 00:22:13,879 Speaker 1: publicly because it in February of this year of twenty 333 00:22:13,920 --> 00:22:19,280 Speaker 1: twenty three. Mm. Why because there are a whole lot 334 00:22:19,320 --> 00:22:21,920 Speaker 1: of people on the internet that you've probably encountered, maybe 335 00:22:21,960 --> 00:22:26,480 Speaker 1: even people around last Thanksgivings dinner table who said the 336 00:22:26,520 --> 00:22:29,440 Speaker 1: same thing, but we're probably slapped down by everybody else. 337 00:22:29,480 --> 00:22:33,200 Speaker 1: You're like, come on, man, it wasn't a lab leak. 338 00:22:33,359 --> 00:22:37,960 Speaker 1: That's crazy, or you're a racist, right, Let's exercise empathy 339 00:22:38,000 --> 00:22:40,840 Speaker 1: and realize, you know, imagine you're one of the people 340 00:22:40,920 --> 00:22:45,040 Speaker 1: who for years now has been convinced this thing came 341 00:22:45,119 --> 00:22:48,520 Speaker 1: from a lab somehow, and you've been dismissed as a 342 00:22:48,560 --> 00:22:52,760 Speaker 1: wing nut. People are calling you racist, and out of nowhere, 343 00:22:52,840 --> 00:22:57,679 Speaker 1: it seems, the FBI goes public and says, no, yeah, no, 344 00:22:57,760 --> 00:23:02,639 Speaker 1: he's right though it's not putting aside politics and everything. 345 00:23:03,040 --> 00:23:05,960 Speaker 1: This is some mad science and it came back to 346 00:23:06,000 --> 00:23:10,000 Speaker 1: bite the planet after that. You know who else obviously 347 00:23:10,040 --> 00:23:14,000 Speaker 1: agrees with the FBI, the Department of Energy. This is 348 00:23:14,840 --> 00:23:19,520 Speaker 1: this is documented in multiple sources, and you cannot read 349 00:23:19,560 --> 00:23:25,200 Speaker 1: the original report currently because it got classified to uh 350 00:23:25,920 --> 00:23:31,280 Speaker 1: it's nuts because outside of Doe and FBI, you're not 351 00:23:31,320 --> 00:23:34,360 Speaker 1: going to find confirmation of this belief from the CDC 352 00:23:35,440 --> 00:23:40,840 Speaker 1: or the CIA, or the n the NIH as well 353 00:23:41,200 --> 00:23:45,919 Speaker 1: across the pond, Uncle Sam is divided on this, and 354 00:23:46,080 --> 00:23:50,719 Speaker 1: currently the Alphabet Boys do not agree on COVID's origins, 355 00:23:51,040 --> 00:23:55,680 Speaker 1: and the streets are watching it's nuts. It is nuts 356 00:23:55,720 --> 00:23:58,879 Speaker 1: how much geopolitics can end up being like a bunch 357 00:23:58,920 --> 00:24:02,040 Speaker 1: of people who live in a bad neighborhood keeping an 358 00:24:02,119 --> 00:24:04,880 Speaker 1: eye on each other in case someone's trying to get over. 359 00:24:05,240 --> 00:24:09,160 Speaker 1: I mean, isn't there some inter organization like kind of 360 00:24:09,600 --> 00:24:13,240 Speaker 1: communication that would help prevent what seems like such a 361 00:24:13,240 --> 00:24:16,320 Speaker 1: foot in mouth kind of scenario like this, like our 362 00:24:16,400 --> 00:24:21,960 Speaker 1: own government doesn't agree and outwardly doesn't agree on something 363 00:24:22,040 --> 00:24:26,840 Speaker 1: so significant, just seems kind of embarrassing. Yeah. Well, we 364 00:24:27,240 --> 00:24:30,200 Speaker 1: also have to remember the case. This will be important later, 365 00:24:31,080 --> 00:24:35,320 Speaker 1: a case we recently explored wearing a guy who was 366 00:24:35,400 --> 00:24:39,200 Speaker 1: the special Agent in charge in New York. He flipped 367 00:24:39,200 --> 00:24:42,280 Speaker 1: for the Russians, And even before he flipped, he was 368 00:24:42,880 --> 00:24:47,679 Speaker 1: using his position and influence to try to sway the 369 00:24:47,960 --> 00:24:53,040 Speaker 1: twenty sixteen US election. So just because someone's a bureaucrat 370 00:24:53,440 --> 00:24:56,719 Speaker 1: and part of an unelected branch of government, it doesn't 371 00:24:56,760 --> 00:24:59,480 Speaker 1: mean that they don't they don't have a thumb in 372 00:24:59,520 --> 00:25:03,639 Speaker 1: the pipe politics often, you know, they can, they have agendas, 373 00:25:03,680 --> 00:25:08,960 Speaker 1: they can have horses in the race because they're people politics. Sorry, yeah, 374 00:25:08,960 --> 00:25:14,439 Speaker 1: I mean we've gotten with that pie metaphor, right, Okay. So, also, 375 00:25:14,560 --> 00:25:18,119 Speaker 1: China is not helping. We're not being cenophobes or whatever 376 00:25:18,520 --> 00:25:23,560 Speaker 1: we're saying. China is kind of shit in the bed. 377 00:25:24,000 --> 00:25:26,320 Speaker 1: Just kind of shit in the bed, that's what they're doing. 378 00:25:26,880 --> 00:25:31,000 Speaker 1: And they're very sensitive about this. Not too long ago, 379 00:25:31,640 --> 00:25:35,000 Speaker 1: China put out a gangster warning to Alon Musk. You 380 00:25:35,040 --> 00:25:41,080 Speaker 1: guys remember this one. Yes, he was. It was pretty serious, right, 381 00:25:41,320 --> 00:25:44,200 Speaker 1: was it? Wasn't it? Kind of it was accusing him 382 00:25:44,200 --> 00:25:47,560 Speaker 1: of like slander as kind of language in some ways, 383 00:25:47,640 --> 00:25:50,639 Speaker 1: wasn't it. Yeah? I don't know, this guy tell me 384 00:25:50,640 --> 00:25:56,560 Speaker 1: about it. So China has a many state run media 385 00:25:56,680 --> 00:25:59,399 Speaker 1: properties or arms if you want to call them. That. 386 00:26:00,600 --> 00:26:04,320 Speaker 1: Elon Musk, who is probably most famous right now for 387 00:26:05,119 --> 00:26:09,399 Speaker 1: being in charge of Twitter, he tweeted some stuff about 388 00:26:09,440 --> 00:26:14,879 Speaker 1: this lab leak theory, as specifically the Department of Energies reporting, 389 00:26:15,200 --> 00:26:16,840 Speaker 1: and I think he was tweeting the stuff that came 390 00:26:16,920 --> 00:26:19,800 Speaker 1: from Wall Street Journal. Someone fact checked me on that. 391 00:26:20,280 --> 00:26:24,800 Speaker 1: But China reacted pretty quickly, and they said in a 392 00:26:24,920 --> 00:26:29,120 Speaker 1: Global Times article which you can read it it's in Chinese, 393 00:26:29,680 --> 00:26:35,199 Speaker 1: they said, Alon Musk, are you breaking the pot of China? 394 00:26:35,280 --> 00:26:39,159 Speaker 1: That's the English translation. And there are two ways to 395 00:26:39,200 --> 00:26:42,080 Speaker 1: interpret this. You could see it as something very gangster, 396 00:26:42,280 --> 00:26:47,560 Speaker 1: like you're busted my balls over here, Musk Musk, you 397 00:26:47,640 --> 00:26:52,639 Speaker 1: bust my balls. But the idiom breaking the pot is 398 00:26:52,720 --> 00:26:55,480 Speaker 1: kind of the Chinese equivalent of something even more gangster. 399 00:26:56,040 --> 00:27:00,520 Speaker 1: It means biting the hand that fed you. Sure, yeah, 400 00:27:00,560 --> 00:27:03,320 Speaker 1: that's a big no no. Or you know, poop pooping 401 00:27:03,400 --> 00:27:07,560 Speaker 1: where you eat well, I mean, where do you buy 402 00:27:07,960 --> 00:27:12,560 Speaker 1: expensive batteries that you put into your electric vehicles or 403 00:27:12,600 --> 00:27:16,359 Speaker 1: you know, you're you're huge expensive They what do they 404 00:27:16,440 --> 00:27:21,480 Speaker 1: call it? The battery storage units that yeah, they've had 405 00:27:21,480 --> 00:27:23,840 Speaker 1: those for a while, the ones that can store energy 406 00:27:23,880 --> 00:27:26,760 Speaker 1: back from the solar panels, you know, from from and 407 00:27:26,800 --> 00:27:28,479 Speaker 1: put it back into the grid or whatever. But like, 408 00:27:28,600 --> 00:27:31,199 Speaker 1: if we've learned anything from shows like Silicon Valley or 409 00:27:31,680 --> 00:27:34,840 Speaker 1: h any kind of shows that talk about manufacturing and 410 00:27:34,920 --> 00:27:37,440 Speaker 1: tech and all that stuff, it is a delicate dance 411 00:27:37,520 --> 00:27:40,560 Speaker 1: doing business with country with a country like China, and 412 00:27:40,600 --> 00:27:44,240 Speaker 1: it is all about diplomacy, and it is you don't 413 00:27:44,280 --> 00:27:47,280 Speaker 1: just get their business. You have to, you know, prove 414 00:27:47,320 --> 00:27:49,520 Speaker 1: to them that you are going to be a good 415 00:27:49,560 --> 00:27:55,560 Speaker 1: partner and also that and also but maintain a sense 416 00:27:55,600 --> 00:28:02,000 Speaker 1: of decorum, you know, around these kinds of business dealings. Exactly. 417 00:28:02,040 --> 00:28:04,320 Speaker 1: Something that Elon Musk is not very good at doing. 418 00:28:05,000 --> 00:28:08,160 Speaker 1: Face is big. Face is a big deal. Public appearance 419 00:28:08,280 --> 00:28:10,280 Speaker 1: is a big, big deal. All right, let's get to 420 00:28:10,320 --> 00:28:12,880 Speaker 1: the bottom of it. The world's burning down, we're still 421 00:28:12,920 --> 00:28:15,520 Speaker 1: doing our little podcast, so let's figure it out. To 422 00:28:15,680 --> 00:28:18,960 Speaker 1: COVID come from a lab. If so, what happened To 423 00:28:19,200 --> 00:28:24,760 Speaker 1: really drill down into that conspiracy, we have to first 424 00:28:25,040 --> 00:28:28,439 Speaker 1: clean our own house and acknowledge some serious issues with 425 00:28:28,520 --> 00:28:33,000 Speaker 1: the FBI and DOE reports. DOOE never said they had 426 00:28:33,040 --> 00:28:36,280 Speaker 1: one hundred percent confirmation of the lab theory. In fact, 427 00:28:36,359 --> 00:28:39,680 Speaker 1: they said it was kind of mid This is the 428 00:28:39,680 --> 00:28:44,240 Speaker 1: way they would put it. They essentially said, this is plausible, 429 00:28:44,800 --> 00:28:47,640 Speaker 1: and we believe it's a possibility. But you're not going 430 00:28:47,720 --> 00:28:50,960 Speaker 1: to read that in the headlines because that won't get 431 00:28:51,000 --> 00:28:55,160 Speaker 1: the clicks. FBI Director Ray we already said he claimed 432 00:28:55,200 --> 00:28:59,760 Speaker 1: as info came from classified investigations. The OE report classified 433 00:28:59,760 --> 00:29:03,320 Speaker 1: as well. Plus the part that I'd ever see in 434 00:29:03,520 --> 00:29:07,560 Speaker 1: reporting about the DOE when people are standing it, when 435 00:29:07,560 --> 00:29:11,400 Speaker 1: they're fanboys of something that agrees with their kind of 436 00:29:11,560 --> 00:29:16,240 Speaker 1: preset beliefs. No one's really asking except for a few people, 437 00:29:16,320 --> 00:29:19,120 Speaker 1: No one's really asking why the Department of Energy, of 438 00:29:19,120 --> 00:29:23,600 Speaker 1: all places, is weighing in on a global pandemic. You know, 439 00:29:23,680 --> 00:29:27,040 Speaker 1: I mean, COVID's not attacking the light switch. COVID's attacking 440 00:29:27,080 --> 00:29:30,600 Speaker 1: the human That is a good question, and it's just 441 00:29:30,640 --> 00:29:33,400 Speaker 1: really quickly to backtrackers. And I said earlier, I wasn't 442 00:29:33,480 --> 00:29:36,520 Speaker 1: totally talking out of my backside and saying that there was, 443 00:29:36,880 --> 00:29:40,960 Speaker 1: for a time at least some pretty significant disagreement between 444 00:29:40,960 --> 00:29:43,720 Speaker 1: the certain branches of the government about like where COVID 445 00:29:43,760 --> 00:29:49,240 Speaker 1: came from. Right, Okay it continues today, Yeah, exactly. We 446 00:29:49,640 --> 00:29:53,560 Speaker 1: found the answer though as to why the Department of 447 00:29:53,960 --> 00:29:57,920 Speaker 1: Energy is weighing in, and it turns out it's actually 448 00:29:58,040 --> 00:30:03,640 Speaker 1: part of their remit rem No, it's not. Uh do 449 00:30:03,680 --> 00:30:05,400 Speaker 1: you want to hear something creepy? Here? Here he goes 450 00:30:06,200 --> 00:30:09,200 Speaker 1: quote as part of its mission to track and mitigate 451 00:30:09,240 --> 00:30:14,360 Speaker 1: the proliferation of weapons of mass destruction or the DOE. 452 00:30:14,400 --> 00:30:17,520 Speaker 1: Here you can say this specializes in the study of 453 00:30:17,640 --> 00:30:24,680 Speaker 1: biological weapons such as viruses. Huh Yaikes, that's almost like 454 00:30:26,320 --> 00:30:29,320 Speaker 1: a bit of a tell. Well, no, you know what 455 00:30:29,360 --> 00:30:31,920 Speaker 1: the tell is. That's what the place is called. Hit 456 00:30:32,000 --> 00:30:35,160 Speaker 1: him with it, Ben, what's it called? Uh? Street name 457 00:30:35,800 --> 00:30:41,560 Speaker 1: Z Division Z definitely for zombies, right, yes, yeah, World 458 00:30:41,560 --> 00:30:45,680 Speaker 1: War Z types. No, I'm I mean it's like that's 459 00:30:45,720 --> 00:30:48,880 Speaker 1: I love government statements like this that on the surface 460 00:30:48,920 --> 00:30:52,160 Speaker 1: feel so banal and innocuous, and then you drilled down 461 00:30:52,200 --> 00:30:54,040 Speaker 1: just to tide they're like, wait a minute, it's like 462 00:30:54,400 --> 00:30:56,600 Speaker 1: it's like designed for you to just kind of ignore 463 00:30:57,080 --> 00:30:59,920 Speaker 1: like the important part, Like they kind of bury the 464 00:31:00,080 --> 00:31:05,600 Speaker 1: lead weapons of mass destructions, biological weapons such as viruses. 465 00:31:06,200 --> 00:31:09,480 Speaker 1: They're not exactly saying they think COVID nineteen is a virus. 466 00:31:09,520 --> 00:31:12,000 Speaker 1: They're just saying they do their homework, right, they check 467 00:31:12,040 --> 00:31:15,239 Speaker 1: all the boxes in this pursuit, but they're not not 468 00:31:15,360 --> 00:31:19,520 Speaker 1: saying it. Yeah, the Department of Energy has this super 469 00:31:19,800 --> 00:31:22,960 Speaker 1: buttoned up group that dates all the way back to 470 00:31:23,000 --> 00:31:27,600 Speaker 1: the mid nineteen sixties and you know, the Cold War days, 471 00:31:28,240 --> 00:31:32,960 Speaker 1: to evaluate all this stuff, including the possibility of biological weapons, 472 00:31:33,200 --> 00:31:36,040 Speaker 1: which makes me think of the hammer and nail conundrum. 473 00:31:36,240 --> 00:31:41,040 Speaker 1: If you're looking at biological anomalies and you're coming from 474 00:31:41,040 --> 00:31:43,920 Speaker 1: the perspective of a hammer, than what isn't a nail? 475 00:31:44,400 --> 00:31:46,600 Speaker 1: But see, I agree with you, Ben, but it all 476 00:31:46,600 --> 00:31:48,680 Speaker 1: makes sense to me if you're thinking about the Department 477 00:31:48,680 --> 00:31:52,120 Speaker 1: of Energy and what was a fairly new type of 478 00:31:52,240 --> 00:31:54,800 Speaker 1: energy that was being produced in the fifties and sixties 479 00:31:55,440 --> 00:32:00,520 Speaker 1: at atomic nuclear energy, all that stuff, right, So it 480 00:32:00,640 --> 00:32:03,360 Speaker 1: makes sense that they would have that specialized group that's 481 00:32:03,640 --> 00:32:08,320 Speaker 1: sneaking around checking out warehouses with a Geiger. The encounter 482 00:32:08,520 --> 00:32:13,520 Speaker 1: just like and then Mission Creep right as ever, Mission 483 00:32:13,560 --> 00:32:17,240 Speaker 1: Creep ensued. So yes, I also do believe we should 484 00:32:17,280 --> 00:32:21,960 Speaker 1: do Z Division episode in the future on stuff they'll 485 00:32:21,960 --> 00:32:25,360 Speaker 1: want you to know, because we're we're pretty in the 486 00:32:25,400 --> 00:32:28,200 Speaker 1: trenches on some of these things, folks and Z Division, 487 00:32:28,560 --> 00:32:30,360 Speaker 1: I think it's safe to say it was a surprise 488 00:32:30,480 --> 00:32:33,760 Speaker 1: for us, especially that the name is so cool. That 489 00:32:33,960 --> 00:32:38,000 Speaker 1: was well done, well done. So we have two institutions 490 00:32:38,040 --> 00:32:40,840 Speaker 1: in the United States claiming that the Rona came from 491 00:32:40,880 --> 00:32:44,800 Speaker 1: a lab and this claim, if true, carries a staggering 492 00:32:44,960 --> 00:32:49,640 Speaker 1: number of terrified possible implications. We gotta know more, says 493 00:32:49,680 --> 00:32:52,560 Speaker 1: the American public, and rightly so. But when asked for 494 00:32:52,760 --> 00:33:00,440 Speaker 1: sources on this, the same people officially or owning or 495 00:33:00,480 --> 00:33:03,960 Speaker 1: co signing a lab league theory, they say that they 496 00:33:04,040 --> 00:33:08,640 Speaker 1: cannot reveal why they believe so. And I had an 497 00:33:08,640 --> 00:33:12,040 Speaker 1: awesome Italian accent from the Sopranos that I'm not gonna do. 498 00:33:12,240 --> 00:33:17,200 Speaker 1: But essentially, FBI Director Ray uh put the American public 499 00:33:17,840 --> 00:33:23,440 Speaker 1: in a trust me situation. The FBI notoriously trustworthy, right 500 00:33:23,720 --> 00:33:27,320 Speaker 1: students of history, Yeah, kind of their whole thing. You know, 501 00:33:27,880 --> 00:33:32,600 Speaker 1: I'm lying, well, depending I mean but how how different 502 00:33:32,680 --> 00:33:36,760 Speaker 1: is it? Though, from the Government of China's initial reactions 503 00:33:37,040 --> 00:33:41,040 Speaker 1: at the beginning of the different it's always if there's 504 00:33:41,080 --> 00:33:44,320 Speaker 1: a lot to be told, government's gonna tell it. I mean, 505 00:33:44,360 --> 00:33:47,040 Speaker 1: any government. It's just it's just the nature of these 506 00:33:47,120 --> 00:33:50,000 Speaker 1: kinds of things, secrecy, you know, and and trying to 507 00:33:50,120 --> 00:33:54,320 Speaker 1: pass the buck and anyway the op the skate the truth. 508 00:33:55,360 --> 00:33:58,600 Speaker 1: Maybe I'm being um dire in that perspective, but it 509 00:33:58,640 --> 00:34:02,120 Speaker 1: sure feels like they're all kind of the same. Yeah, 510 00:34:02,160 --> 00:34:05,400 Speaker 1: it's kind of a pepsi coke thing sometimes, which can 511 00:34:05,440 --> 00:34:10,279 Speaker 1: be very unhelpful or two to uh people who are 512 00:34:10,320 --> 00:34:15,080 Speaker 1: looking for something different. But there there's they're in. We 513 00:34:15,160 --> 00:34:18,080 Speaker 1: find a problem, right, there's a cherry of complication on 514 00:34:18,120 --> 00:34:22,759 Speaker 1: top of this conspiratorial milkshake, and it's this sorry, oh no, 515 00:34:22,840 --> 00:34:25,399 Speaker 1: it's perfect. You know, I haven't had milkshake in years. 516 00:34:25,440 --> 00:34:27,960 Speaker 1: When's the last time you guys actually had such good confection? 517 00:34:28,080 --> 00:34:30,319 Speaker 1: I like a malted milkshake. What do you guys think 518 00:34:30,360 --> 00:34:34,120 Speaker 1: you like a malt? Let'm good with a malt. I 519 00:34:34,160 --> 00:34:37,239 Speaker 1: don't think so. I don't know, like a malt like 520 00:34:37,280 --> 00:34:39,040 Speaker 1: like like you know, like you get an old diner 521 00:34:39,120 --> 00:34:41,960 Speaker 1: type joint you know, kind of tastes like whoppers. This 522 00:34:42,120 --> 00:34:46,360 Speaker 1: is other this crunchy chocolate malted candy balls. Oh yeah, Okay, 523 00:34:46,440 --> 00:34:50,880 Speaker 1: I'm not mad at it. Okay, fair enough, you're not 524 00:34:52,640 --> 00:34:56,760 Speaker 1: my first name, base, Yeah, I'm familiar with the work. 525 00:34:57,360 --> 00:35:01,200 Speaker 1: Uh yeah, this this is the problem. This is honestly 526 00:35:01,320 --> 00:35:05,600 Speaker 1: kind of painful to admit. But the argument about keeping 527 00:35:05,600 --> 00:35:11,240 Speaker 1: stuff classified is extremely valid. I hate it. I hate 528 00:35:11,239 --> 00:35:15,960 Speaker 1: that it's true, but it's kind of solid just in 529 00:35:16,040 --> 00:35:21,120 Speaker 1: terms of what protecting national security or more specific even 530 00:35:21,200 --> 00:35:24,200 Speaker 1: than that. Well, it's what we talked about. Gosh, I 531 00:35:24,400 --> 00:35:26,200 Speaker 1: can't even tell you which episodes we've been having this 532 00:35:26,239 --> 00:35:29,920 Speaker 1: conversation on, but we were talking about how the actual 533 00:35:29,960 --> 00:35:35,680 Speaker 1: information gained in any kind of intelligence or counterintelligence services 534 00:35:36,320 --> 00:35:40,080 Speaker 1: is not as important as the methods used to acquire 535 00:35:40,280 --> 00:35:43,960 Speaker 1: that intelligence. Right there you go, because that the specific 536 00:35:43,960 --> 00:35:47,239 Speaker 1: information that you're getting is probably disposable and only as 537 00:35:47,239 --> 00:35:50,120 Speaker 1: a shelf life of a very short period. But how 538 00:35:50,239 --> 00:35:54,200 Speaker 1: you got that thing on the shelf, like protecting your 539 00:35:54,200 --> 00:35:59,839 Speaker 1: informants in a police situation, yes one, yeah, I mean 540 00:36:00,360 --> 00:36:03,040 Speaker 1: it is quite possible the US needs to cover its 541 00:36:03,040 --> 00:36:07,279 Speaker 1: collection methods here. If that is the case, then it 542 00:36:07,360 --> 00:36:10,919 Speaker 1: almost certainly means that the US government has some sort 543 00:36:10,960 --> 00:36:15,040 Speaker 1: of limited access or visibility into the workings of the 544 00:36:15,160 --> 00:36:19,360 Speaker 1: Chinese government in this regard, possibly up to the activities 545 00:36:19,560 --> 00:36:23,560 Speaker 1: of that virology lab in Wuhan. And if they went 546 00:36:23,640 --> 00:36:27,399 Speaker 1: public with that, it would start a war. It could, 547 00:36:27,520 --> 00:36:30,560 Speaker 1: It could definitely start a war. It could be really bad. 548 00:36:30,760 --> 00:36:32,759 Speaker 1: But here's the other thing. I think there's another reason 549 00:36:32,800 --> 00:36:36,120 Speaker 1: they might want to be protecting it, you guys. And 550 00:36:36,960 --> 00:36:40,880 Speaker 1: we found it in a Vanity Fair article from twenty 551 00:36:40,960 --> 00:36:43,400 Speaker 1: twenty two. Let me just pull it up right here. 552 00:36:43,640 --> 00:36:46,799 Speaker 1: I remember this one published in Vanity Fair March thirty first, 553 00:36:46,840 --> 00:36:52,160 Speaker 1: twenty twenty two by Katherine Ebon eb a n title 554 00:36:52,320 --> 00:36:57,239 Speaker 1: is this Shouldn't happen colon inside the virus hunting nonprofit 555 00:36:57,280 --> 00:37:01,520 Speaker 1: at the center of the lab leak controversy, And inside 556 00:37:01,520 --> 00:37:08,080 Speaker 1: this article it discusses some very interesting connections between a 557 00:37:08,160 --> 00:37:14,360 Speaker 1: couple of US agencies, the National Institute of Allergy and 558 00:37:14,480 --> 00:37:19,200 Speaker 1: Infectious Diseases that a certain doctor Fauci is associated with, 559 00:37:20,000 --> 00:37:24,239 Speaker 1: and some research that was being paid for by them 560 00:37:24,800 --> 00:37:27,480 Speaker 1: that was occurring both in the United States and at 561 00:37:27,520 --> 00:37:33,840 Speaker 1: a little place in Wuhan, China, where gain of function 562 00:37:33,920 --> 00:37:38,080 Speaker 1: research was being carried out again and paid for through 563 00:37:38,080 --> 00:37:43,280 Speaker 1: the NIH and that NIAI D thing. Well, that term 564 00:37:43,320 --> 00:37:45,000 Speaker 1: has been thrown around a bit, and I think I'm 565 00:37:45,040 --> 00:37:47,160 Speaker 1: still a little foggy on a gain of function. It's 566 00:37:47,200 --> 00:37:49,480 Speaker 1: not exactly what it sounds like. It's sort of referring 567 00:37:49,520 --> 00:37:55,319 Speaker 1: to a field of research, right, or of manipulating these 568 00:37:55,320 --> 00:37:58,480 Speaker 1: types of pathogens. We talked about it a little earlier 569 00:37:58,680 --> 00:38:00,000 Speaker 1: in the episode. But let me get let me get 570 00:38:00,000 --> 00:38:03,719 Speaker 1: of you. This quote from Peter daz Suk d A 571 00:38:04,200 --> 00:38:08,360 Speaker 1: s z a K. This is from a BBC News 572 00:38:08,560 --> 00:38:12,640 Speaker 1: video that you shared. Ben. Here's a quick it's not 573 00:38:12,760 --> 00:38:15,520 Speaker 1: that quick, but here's a quote. And this comes from 574 00:38:15,560 --> 00:38:20,480 Speaker 1: twenty sixteen, so well before SARS COVID nineteen. This is 575 00:38:20,520 --> 00:38:25,760 Speaker 1: twenty sixteen talking about gain of function research in Wuhan, China. Quote. 576 00:38:25,800 --> 00:38:29,040 Speaker 1: We found other coronaviruses in bats, a whole host of them. 577 00:38:29,239 --> 00:38:31,920 Speaker 1: Some of them looked very similar to stars. So we 578 00:38:32,000 --> 00:38:36,240 Speaker 1: sequenced the spike protein, the protein that attaches to cells. 579 00:38:36,640 --> 00:38:39,640 Speaker 1: When we well, I didn't do this work. My colleagues 580 00:38:39,640 --> 00:38:43,279 Speaker 1: in China did the work. You create pseudo particles, you 581 00:38:43,320 --> 00:38:46,520 Speaker 1: insert the spike proteins from those viruses and see if 582 00:38:46,520 --> 00:38:49,759 Speaker 1: they bind to human cells. And each step of this 583 00:38:49,880 --> 00:38:53,600 Speaker 1: you move closer and closer to quote, this virus could 584 00:38:53,640 --> 00:38:58,880 Speaker 1: really become pathogenic in people. Tight, So you make the 585 00:38:58,960 --> 00:39:04,200 Speaker 1: viruses more and more potentially pathogenic to virulence correct, Yeah, yeah, 586 00:39:04,200 --> 00:39:10,160 Speaker 1: we have exactly, Yes, more more transmissible, more resistant to 587 00:39:10,160 --> 00:39:15,279 Speaker 1: to immunities, essentially more deadly. And so you're you're but 588 00:39:15,400 --> 00:39:19,560 Speaker 1: gain of function, you're giving them additional superpowers. You're leveling 589 00:39:19,560 --> 00:39:22,720 Speaker 1: them up. Yeah, to see what happens in a controlled 590 00:39:22,800 --> 00:39:27,600 Speaker 1: environment that hopefully stays controlled. Court deceps is sort of okay, 591 00:39:27,600 --> 00:39:30,080 Speaker 1: But what if we gave it a little gas? Yeah, 592 00:39:30,120 --> 00:39:32,279 Speaker 1: but the end game would be to potent. You would 593 00:39:32,320 --> 00:39:34,640 Speaker 1: do this and then see which ones took it the 594 00:39:34,680 --> 00:39:39,160 Speaker 1: best and then maybe weaponize that. Is that the end 595 00:39:38,840 --> 00:39:42,759 Speaker 1: the end game? Well, theoretically you could do that, but 596 00:39:43,080 --> 00:39:47,200 Speaker 1: that's not the point. That's not why the NIH gives 597 00:39:47,360 --> 00:39:51,200 Speaker 1: three hundred thousand dollars to you know, to study this stuff. 598 00:39:51,520 --> 00:39:55,719 Speaker 1: It's to see, at least on paper, predict down the 599 00:39:55,800 --> 00:39:59,200 Speaker 1: line what mutations could occur, kind of which ones are 600 00:39:59,239 --> 00:40:01,759 Speaker 1: more likely to occur, and if it does occur, what 601 00:40:01,840 --> 00:40:05,319 Speaker 1: could we do We to evaluate the response to game 602 00:40:05,360 --> 00:40:09,439 Speaker 1: plan and strategize. The issue is what is not being 603 00:40:09,520 --> 00:40:13,239 Speaker 1: widely reported is that this sort of research has a 604 00:40:13,239 --> 00:40:17,520 Speaker 1: lot in common with nuclear energy development in that you 605 00:40:17,560 --> 00:40:21,800 Speaker 1: are discovering dual use technology. Right, just like fire, it 606 00:40:21,920 --> 00:40:24,759 Speaker 1: can cook a hell of a case idea, but it 607 00:40:25,600 --> 00:40:28,200 Speaker 1: can also burn down your house, and in the case 608 00:40:28,239 --> 00:40:32,399 Speaker 1: of biological weaponry, the house is millions of people. Yes, 609 00:40:32,880 --> 00:40:37,359 Speaker 1: so there is I mean, there is a strong possibility there. 610 00:40:37,360 --> 00:40:41,680 Speaker 1: And just like nuclear enrichment, it's very difficult to discern, 611 00:40:42,480 --> 00:40:45,480 Speaker 1: as you were saying, map between the stated purpose and 612 00:40:45,760 --> 00:40:49,960 Speaker 1: a possible interior motive. Right now, the world, some of 613 00:40:50,000 --> 00:40:54,120 Speaker 1: the world's smartest people are wrestling with these two hypotheses 614 00:40:54,160 --> 00:40:58,200 Speaker 1: about the origins, and the question is was this the 615 00:40:58,239 --> 00:41:02,879 Speaker 1: result of bad hygiene standard at a seafood market? Counterpoint 616 00:41:02,920 --> 00:41:05,680 Speaker 1: to that, get past some of the racism there. There 617 00:41:05,719 --> 00:41:09,239 Speaker 1: are quote unquote wet markets all around the world. Just 618 00:41:09,280 --> 00:41:12,160 Speaker 1: because you might not see one in your neighborhood doesn't 619 00:41:12,160 --> 00:41:15,399 Speaker 1: mean there are a unique thing by any means at all. 620 00:41:15,680 --> 00:41:18,440 Speaker 1: And what happened when that, when that was floating around, 621 00:41:18,760 --> 00:41:21,520 Speaker 1: you saw all these viral videos of like kind of 622 00:41:21,560 --> 00:41:24,880 Speaker 1: horrific things at some of these markets, which you know 623 00:41:24,920 --> 00:41:27,960 Speaker 1: there there are some gnarly things that we may be 624 00:41:28,080 --> 00:41:30,759 Speaker 1: in the West wouldn't necessarily be like that's cool, like 625 00:41:30,840 --> 00:41:34,759 Speaker 1: in terms of you know, killing live animals and things 626 00:41:34,760 --> 00:41:38,200 Speaker 1: like that. You know, that's stuff. But when you circulate 627 00:41:38,280 --> 00:41:41,040 Speaker 1: that stuff based on this, you're doing it to other 628 00:41:42,160 --> 00:41:45,359 Speaker 1: the people of China and the culture of these kinds 629 00:41:45,360 --> 00:41:47,680 Speaker 1: of markets, even if it's something that maybe you aren't 630 00:41:47,719 --> 00:41:50,680 Speaker 1: personally comfortable with. It is literally putting out putting it 631 00:41:50,719 --> 00:41:53,359 Speaker 1: out there to shock people and be like, see, look 632 00:41:53,360 --> 00:41:55,400 Speaker 1: what's happening over there. Of course this is where it 633 00:41:55,440 --> 00:41:59,719 Speaker 1: came from, because look what they're doing right, right, And 634 00:42:00,239 --> 00:42:05,120 Speaker 1: this leads us to the next hypotheses, Right, was this 635 00:42:05,200 --> 00:42:08,399 Speaker 1: the result of some sort of sketch experimentation in a 636 00:42:08,480 --> 00:42:13,319 Speaker 1: government supported lab in an institute. It's a tricky one 637 00:42:13,480 --> 00:42:18,120 Speaker 1: because regardless of which idea you choose to accept, you 638 00:42:18,200 --> 00:42:22,920 Speaker 1: will have to inherently accept some sort of conspiracy at play. 639 00:42:23,040 --> 00:42:25,840 Speaker 1: You have to acknowledge the existence of one or the 640 00:42:25,920 --> 00:42:29,880 Speaker 1: other in this kind of conversation. And to add to 641 00:42:30,000 --> 00:42:34,520 Speaker 1: make this even more complicated in the US, and I 642 00:42:34,520 --> 00:42:38,640 Speaker 1: would say in the West, overall, the politicization, the tribalism 643 00:42:38,719 --> 00:42:44,360 Speaker 1: surrounding this issue has one hundred stymy significant progress. What 644 00:42:44,520 --> 00:42:46,960 Speaker 1: are we talking about. We'll tell you after a word 645 00:42:47,040 --> 00:42:50,640 Speaker 1: from our sponsors, and stay tuned, because everybody gets a 646 00:42:50,640 --> 00:43:00,680 Speaker 1: little hate in this next part. We're back. Sorry, guys, 647 00:43:00,719 --> 00:43:04,040 Speaker 1: I sounded a little like an insult comic. We're going 648 00:43:04,120 --> 00:43:08,520 Speaker 1: to add break too, equal opportunity haters who we are. 649 00:43:08,800 --> 00:43:11,320 Speaker 1: I mean, it's like that disclaimer that comes on before 650 00:43:11,360 --> 00:43:16,319 Speaker 1: every South Park episode, you know. Yeah, everybody gets stuff, right, Matt, 651 00:43:16,360 --> 00:43:21,160 Speaker 1: You alluded to this beautifully earlier in today's show. Guys, 652 00:43:21,239 --> 00:43:26,480 Speaker 1: politics might be part of the problem, definitely, I mean 653 00:43:26,560 --> 00:43:29,560 Speaker 1: in general, but for this specifically as well. You already 654 00:43:29,600 --> 00:43:32,799 Speaker 1: alluded to the politicization of vaccinations and all that suff 655 00:43:32,800 --> 00:43:34,440 Speaker 1: stuff that should be kind of a little bit more 656 00:43:34,440 --> 00:43:37,359 Speaker 1: of a cut and dry thing. But now we're looking, 657 00:43:37,400 --> 00:43:40,080 Speaker 1: we're drilling in deeper and talking about how politics, just 658 00:43:40,160 --> 00:43:43,600 Speaker 1: as an institution, creates the murky waters of all of 659 00:43:43,600 --> 00:43:48,439 Speaker 1: this stuff inherently. Yeah. Shout out to journalist Shirley Gay 660 00:43:48,560 --> 00:43:52,680 Speaker 1: Stolberg and Benjamin Mueller over New York Times. They published 661 00:43:52,760 --> 00:43:58,920 Speaker 1: a really solid article quite recently wherein they argue the 662 00:43:59,040 --> 00:44:03,000 Speaker 1: quote both Democrats Republicans have filtered the available evidence through 663 00:44:03,040 --> 00:44:07,560 Speaker 1: their partisan lenses, and they pointed out some things that 664 00:44:07,640 --> 00:44:10,520 Speaker 1: might make people uncomfortable. First off, they point out a 665 00:44:10,640 --> 00:44:15,960 Speaker 1: lot of more conservative or Republican identifying right leaning politicians 666 00:44:16,360 --> 00:44:22,280 Speaker 1: automatically glommed onto the lab Lee allegations from former President 667 00:44:22,320 --> 00:44:26,480 Speaker 1: Donald Trump because he's one of the first people in 668 00:44:26,560 --> 00:44:29,840 Speaker 1: that position of power to speak out about it, and 669 00:44:30,000 --> 00:44:31,680 Speaker 1: he did it in kind of like an off the 670 00:44:31,760 --> 00:44:35,640 Speaker 1: dome freestyling way. There wasn't at this point any hard 671 00:44:35,640 --> 00:44:39,600 Speaker 1: evidence supporting that. The FBI, the Department of Energy, they 672 00:44:39,600 --> 00:44:42,920 Speaker 1: hadn't come out with a statement. So the weird thing 673 00:44:42,920 --> 00:44:45,319 Speaker 1: for me, Ben is that when Director Ray of the 674 00:44:45,360 --> 00:44:49,240 Speaker 1: FBI came forward, he essentially said the exact same thing 675 00:44:49,760 --> 00:44:54,040 Speaker 1: that President Trump said back in twenty twenty, like, yeah, 676 00:44:54,040 --> 00:44:56,480 Speaker 1: oh yeah, we've known for yeah for sure, it came 677 00:44:57,000 --> 00:45:00,759 Speaker 1: from the Wuhan laboratory. What do you But yeah, what 678 00:45:00,800 --> 00:45:02,360 Speaker 1: do you what do you have? What do you know? 679 00:45:02,400 --> 00:45:04,239 Speaker 1: I was classified? But yeah, it's definitely think he has 680 00:45:04,320 --> 00:45:06,640 Speaker 1: so much, so much good information. But I guess that's 681 00:45:06,640 --> 00:45:09,719 Speaker 1: the point, right, Like why even say it if you 682 00:45:09,760 --> 00:45:14,480 Speaker 1: can't back it up? Ay, I don't believe you if 683 00:45:14,480 --> 00:45:16,839 Speaker 1: you can't show us that you can back it up 684 00:45:17,000 --> 00:45:19,759 Speaker 1: and be it's a political maneuver. That's what it is. 685 00:45:19,800 --> 00:45:23,640 Speaker 1: That's the only purpose that it serves to me. I 686 00:45:23,680 --> 00:45:26,320 Speaker 1: think when Trump said it, I think he actually read 687 00:45:26,760 --> 00:45:30,520 Speaker 1: somewhere in a thing in some report, right, that it 688 00:45:30,560 --> 00:45:34,839 Speaker 1: came from that specific place, that they'd got some intelligence, right, 689 00:45:35,719 --> 00:45:37,920 Speaker 1: it came from there, and just off the dome. He 690 00:45:38,000 --> 00:45:40,759 Speaker 1: just said it like, oh, yeah, it came from there, 691 00:45:41,040 --> 00:45:44,680 Speaker 1: and he's like, oh, that's classified. He clicked for his 692 00:45:44,800 --> 00:45:48,880 Speaker 1: message though that it totally served his purpose of creating 693 00:45:49,000 --> 00:45:52,840 Speaker 1: xenophobia and and othering you know this, and having someone 694 00:45:52,880 --> 00:45:54,759 Speaker 1: to blame. And then he started referring to it as 695 00:45:54,840 --> 00:45:58,120 Speaker 1: the the Woo Kung flu and all of that stuff 696 00:45:58,400 --> 00:46:02,399 Speaker 1: is further politicizing it and making it about othering. That's 697 00:46:02,440 --> 00:46:04,920 Speaker 1: what he did, I mean, not just in this situation. 698 00:46:04,960 --> 00:46:10,799 Speaker 1: That's what he does. Well. Then also, you know, the operatives, 699 00:46:11,400 --> 00:46:14,760 Speaker 1: the elected representatives in the Republican Party of the United 700 00:46:14,800 --> 00:46:18,880 Speaker 1: States had to follow this because at that point in time, 701 00:46:19,200 --> 00:46:24,640 Speaker 1: it was political suicide to disagree with the serving Republican potus. 702 00:46:25,000 --> 00:46:28,719 Speaker 1: And that happens on that happens in other countries with 703 00:46:28,840 --> 00:46:35,000 Speaker 1: other political parties actually much more directly in autocracies and dictatorships. 704 00:46:35,160 --> 00:46:39,640 Speaker 1: But it also happens with the so called left of 705 00:46:39,680 --> 00:46:42,480 Speaker 1: the United States on the other side of the aisle, 706 00:46:42,880 --> 00:46:46,399 Speaker 1: a bunch of Democrats identifying or you know, you would say, 707 00:46:46,520 --> 00:46:51,440 Speaker 1: more progressive or liberal representatives or automatically pooh pooing the 708 00:46:51,520 --> 00:46:56,360 Speaker 1: lab leak idea, not because it's bad, but also because 709 00:46:56,560 --> 00:46:59,440 Speaker 1: they hate this Donald Trump guy. They don't want to 710 00:46:59,440 --> 00:47:02,600 Speaker 1: be caught in public agreeing with him on anything, not 711 00:47:02,719 --> 00:47:11,680 Speaker 1: even which Police Academy movie is best obviously The Monsters five. Yeah, 712 00:47:11,719 --> 00:47:14,360 Speaker 1: I have to be at least five. I just remember 713 00:47:14,400 --> 00:47:17,240 Speaker 1: the first two. Now only four. Now they're like, there's 714 00:47:17,280 --> 00:47:31,680 Speaker 1: several wait, hang on, full disclosure, fellow conspiracy realist, slight disclaimer. 715 00:47:31,840 --> 00:47:35,360 Speaker 1: Things got a little bit heated off air. We have 716 00:47:35,480 --> 00:47:37,640 Speaker 1: each other's back, so we're moving on from the Police 717 00:47:37,640 --> 00:47:42,600 Speaker 1: Academy Conversation's Academy is a very divisive subject. They're feeding 718 00:47:42,640 --> 00:47:46,719 Speaker 1: us compaganda. Look, yeah, you know, it doesn't matter what 719 00:47:46,800 --> 00:47:50,600 Speaker 1: your political affiliation is. It's pretty clear that these people 720 00:47:50,600 --> 00:47:54,520 Speaker 1: were disagreeing with each other because they didn't like the 721 00:47:54,640 --> 00:47:59,320 Speaker 1: vibe checks right, not because pepeticians are disingenuous. Ben I 722 00:48:02,680 --> 00:48:07,120 Speaker 1: think that's a very good point. But so they also 723 00:48:07,239 --> 00:48:10,320 Speaker 1: on the left, on the right, on the left side, 724 00:48:11,640 --> 00:48:17,480 Speaker 1: these political operatives alleged that the Trump administration was pushing 725 00:48:17,560 --> 00:48:21,880 Speaker 1: this lab leak story to kind of matrix dodge the 726 00:48:22,200 --> 00:48:27,480 Speaker 1: genuine mishandling of the pandemic. And what's interesting about that is, yes, 727 00:48:27,960 --> 00:48:32,640 Speaker 1: the Trump administration absolutely fumbled the bag on the COVID 728 00:48:32,760 --> 00:48:36,279 Speaker 1: nineteen pandemic. People died as a result. That's not a 729 00:48:36,360 --> 00:48:39,840 Speaker 1: conspiracy that can we harken back to that briefly? Was 730 00:48:39,880 --> 00:48:42,080 Speaker 1: it just it was a failure to act and take 731 00:48:42,120 --> 00:48:46,640 Speaker 1: it seriously and to just continually politicize it rather than 732 00:48:46,719 --> 00:48:48,839 Speaker 1: like do something about it. Right, That was kind of 733 00:48:48,880 --> 00:48:51,040 Speaker 1: am I getting the gist of that, right? Isn't it 734 00:48:51,040 --> 00:48:53,279 Speaker 1: funny how short memory is for such a massive thing. 735 00:48:53,320 --> 00:48:56,960 Speaker 1: But that's that's the vibe check that I'm remembering. I 736 00:48:57,000 --> 00:49:01,960 Speaker 1: feel like that's fair to see because you know, obviously, 737 00:49:02,239 --> 00:49:04,720 Speaker 1: we in the vast majority of other people in the US, 738 00:49:05,040 --> 00:49:08,480 Speaker 1: we were not in on the inner workings, you know, 739 00:49:08,520 --> 00:49:13,319 Speaker 1: the cabinet meetings, the situation rooms and so on. But 740 00:49:14,239 --> 00:49:16,560 Speaker 1: what we can say, and I think this is fair 741 00:49:16,560 --> 00:49:20,640 Speaker 1: and objective we saw the administration take a very reactive 742 00:49:21,040 --> 00:49:25,360 Speaker 1: rather than proactive stance to the detriment of the American public. 743 00:49:25,440 --> 00:49:30,560 Speaker 1: Now would another administration have done better? It's impossible to note, 744 00:49:31,040 --> 00:49:34,000 Speaker 1: because then even when the Biden administration came in, it 745 00:49:34,120 --> 00:49:37,680 Speaker 1: almost was like, we're gonna show you how much better 746 00:49:37,719 --> 00:49:40,560 Speaker 1: we are than these guys by doing this stuff and 747 00:49:40,560 --> 00:49:42,520 Speaker 1: then make and then you know, claim credit for it. 748 00:49:42,600 --> 00:49:45,200 Speaker 1: So even that part, like even doing a good job, 749 00:49:45,560 --> 00:49:49,319 Speaker 1: became politicized. Yeah, it's own way. Well, do you really 750 00:49:49,320 --> 00:49:54,320 Speaker 1: think the lockdown would have happened under a different precedent? 751 00:49:55,560 --> 00:49:57,719 Speaker 1: I think it would have. Yeah, I think I think 752 00:49:57,800 --> 00:50:01,120 Speaker 1: all of the same protocols would have occurred. It's a 753 00:50:01,200 --> 00:50:04,840 Speaker 1: matter of timing, and timing is everything, you know. PPP 754 00:50:05,080 --> 00:50:08,680 Speaker 1: Loan episode, I'm so mad that didn't get in on that. 755 00:50:09,080 --> 00:50:12,319 Speaker 1: Everybody started LLC. It's you get out that Pokemon card 756 00:50:13,440 --> 00:50:18,239 Speaker 1: to get out a card. Also, the politics contaminated the 757 00:50:18,280 --> 00:50:22,759 Speaker 1: world of academia, and it shouldn't have, but it definitely did. 758 00:50:23,120 --> 00:50:28,440 Speaker 1: Scientists found themselves taking on another job in the gig economy. 759 00:50:28,560 --> 00:50:33,080 Speaker 1: They had to become lobbyists, and that sucked. That absolutely sucked. 760 00:50:33,280 --> 00:50:37,440 Speaker 1: Speaking with scientists who work in related fields. If you 761 00:50:37,719 --> 00:50:42,680 Speaker 1: had no strong political affiliation, but you were researching the 762 00:50:42,800 --> 00:50:47,520 Speaker 1: wrong questions, then you might get blackballed from publishing legitimate 763 00:50:47,719 --> 00:50:51,399 Speaker 1: scientific work in journals of note. And it's not as 764 00:50:51,400 --> 00:50:55,160 Speaker 1: if the scientists were knuckleheads. They weren't pushing an agenda. 765 00:50:55,239 --> 00:50:59,840 Speaker 1: They were doing what good scientists do, asking questions, doing research, 766 00:51:00,239 --> 00:51:03,359 Speaker 1: following up with more questions. Being to scientist is a 767 00:51:03,400 --> 00:51:06,680 Speaker 1: lot like being an investigative journalist. In that respect, you're 768 00:51:06,680 --> 00:51:09,840 Speaker 1: like not supposed to have a foregone conclusion before you 769 00:51:09,880 --> 00:51:14,240 Speaker 1: start your research. That's sort of like called bad science. Yeah, 770 00:51:14,320 --> 00:51:17,239 Speaker 1: because it contains the results. I mean it contain if 771 00:51:17,280 --> 00:51:20,560 Speaker 1: you're if you're looking for a particular answer, then that's 772 00:51:21,200 --> 00:51:24,600 Speaker 1: that's not really pure science. You know, you're it's almost 773 00:51:24,600 --> 00:51:28,840 Speaker 1: like rigging the numbers to kind of match whatever conclusion 774 00:51:28,880 --> 00:51:31,279 Speaker 1: you're being told to arrive at. And again we've talked 775 00:51:31,320 --> 00:51:33,120 Speaker 1: about this. I mean, it's it's hard, and there are 776 00:51:33,120 --> 00:51:35,480 Speaker 1: a lot of scientists that depend on government money. And 777 00:51:35,520 --> 00:51:37,400 Speaker 1: I'm not saying that folks that are like working for 778 00:51:37,400 --> 00:51:41,360 Speaker 1: the oil companies aren't necessarily like not forging results or anything, 779 00:51:41,400 --> 00:51:45,319 Speaker 1: but they might be exploring selectively. Perhaps you know, there 780 00:51:45,320 --> 00:51:48,960 Speaker 1: are ways of cutting out certain parts that might give 781 00:51:48,960 --> 00:51:52,799 Speaker 1: you data that doesn't support what you're You know, overlords 782 00:51:52,840 --> 00:51:55,960 Speaker 1: want to to have found because if you don't give 783 00:51:55,960 --> 00:51:57,919 Speaker 1: it to them, they're gonna find somebody else that will. 784 00:51:58,360 --> 00:52:03,600 Speaker 1: And even as lab leak theory finds new official support, 785 00:52:04,600 --> 00:52:08,359 Speaker 1: might be surprised to learn that there's ongoing research that 786 00:52:08,480 --> 00:52:13,160 Speaker 1: seems to provide additional evidence, again not one hundred percent evidence, 787 00:52:13,239 --> 00:52:19,400 Speaker 1: but circumstantial evidence that lends credence to the seafood market concept. 788 00:52:20,239 --> 00:52:24,680 Speaker 1: And it's pretty solid science. Because that's again to your point, Well, 789 00:52:24,760 --> 00:52:28,640 Speaker 1: that's what science should do. It should investigate everything equally 790 00:52:28,920 --> 00:52:33,040 Speaker 1: right and discover what can be proven or disproven. And 791 00:52:33,120 --> 00:52:36,080 Speaker 1: the problem is to prove either of these, you got 792 00:52:36,080 --> 00:52:39,200 Speaker 1: to get some cooperation from China. It's not happening, well 793 00:52:39,400 --> 00:52:41,799 Speaker 1: is it? Is? It pretty conclusive, Ben, because it's talking 794 00:52:41,840 --> 00:52:44,040 Speaker 1: about those raccoon dogs that we mentioned at the top 795 00:52:44,080 --> 00:52:48,879 Speaker 1: of the episode here and how the h I said 796 00:52:48,920 --> 00:52:51,920 Speaker 1: the ball boys. Sorry, I don't I don't know. They 797 00:52:52,000 --> 00:52:55,000 Speaker 1: have large testicles. It's a thing. Okay, Well, they look 798 00:52:55,040 --> 00:52:59,320 Speaker 1: like canines and they look like raccoons simultaneously called raccoon dogs. 799 00:53:02,120 --> 00:53:04,399 Speaker 1: I just don't understand it, I guess because I don't 800 00:53:04,400 --> 00:53:06,480 Speaker 1: have a subscription to New York Times and it's a 801 00:53:06,560 --> 00:53:08,840 Speaker 1: New York Times article. I remember looking at this a 802 00:53:08,840 --> 00:53:12,080 Speaker 1: while ago, though, and I thought that this could be 803 00:53:12,239 --> 00:53:16,200 Speaker 1: the missing link in this case that has been kind 804 00:53:16,200 --> 00:53:19,800 Speaker 1: of pushing me personally towards the lab leak theory, because 805 00:53:19,960 --> 00:53:23,000 Speaker 1: often you've got wherever the virus originates, right, you know, 806 00:53:23,080 --> 00:53:27,400 Speaker 1: Let's say a bat, then that bat bites and infects 807 00:53:27,400 --> 00:53:31,680 Speaker 1: another animal, let's say a raccoon dog. Then that raccoon 808 00:53:31,719 --> 00:53:36,040 Speaker 1: dog ends up infecting a human. So the virus mutates 809 00:53:36,200 --> 00:53:38,920 Speaker 1: as it goes from the bat to the raccoon dog 810 00:53:39,080 --> 00:53:42,960 Speaker 1: to the human. It's continued, It's continuing to mutate as 811 00:53:43,000 --> 00:53:45,880 Speaker 1: it jumps, right, because it wouldn't infect a human directly 812 00:53:45,960 --> 00:53:48,640 Speaker 1: from the from the bat basically. And for a minute, 813 00:53:48,760 --> 00:53:53,520 Speaker 1: wasn't the pangolin? Ye the culprit? And now I'm seeing 814 00:53:53,560 --> 00:53:56,440 Speaker 1: the National Library of Medicine as a study called COVID 815 00:53:56,520 --> 00:54:00,440 Speaker 1: nineteen time to exonerate the pangolin from the transmission SARS 816 00:54:00,520 --> 00:54:05,080 Speaker 1: cove to humans. Now I've a no, because I just 817 00:54:05,120 --> 00:54:07,879 Speaker 1: want to make sure that I'm conveying myself correctly. I 818 00:54:07,960 --> 00:54:13,440 Speaker 1: was arguing that neither neither body of research has conclusively 819 00:54:13,520 --> 00:54:17,760 Speaker 1: proven Okay, I agree, that's what I was saying. Okay, 820 00:54:17,400 --> 00:54:21,760 Speaker 1: I think that's right, and I think that's where that's 821 00:54:21,840 --> 00:54:27,000 Speaker 1: why it's so interesting. That's that these bold statements are 822 00:54:27,040 --> 00:54:30,600 Speaker 1: being made by government entities to what end and with 823 00:54:30,640 --> 00:54:35,480 Speaker 1: what foundation? That's my question. It seems like very agenda e. Yeah, 824 00:54:35,520 --> 00:54:37,799 Speaker 1: and that takes us to a thought experiment. So let's 825 00:54:37,840 --> 00:54:40,040 Speaker 1: ask one of the most important questions, which is this, 826 00:54:40,480 --> 00:54:43,799 Speaker 1: what would it mean if COVID was at least partially 827 00:54:44,880 --> 00:54:49,080 Speaker 1: purposely created by human beings. First, it means we would 828 00:54:49,120 --> 00:54:52,880 Speaker 1: have to logically assume there were other projects taking place, 829 00:54:53,560 --> 00:54:57,080 Speaker 1: if not in the same facility, in the same genre, 830 00:54:57,640 --> 00:55:01,440 Speaker 1: in other facilities like it, some where in China's sphere 831 00:55:01,480 --> 00:55:04,160 Speaker 1: of influence. I would I mean, maybe this is a 832 00:55:04,239 --> 00:55:07,360 Speaker 1: rubicon too far for some people, but I would also 833 00:55:07,719 --> 00:55:10,200 Speaker 1: take it to mean we must logically assume the US 834 00:55:10,320 --> 00:55:13,799 Speaker 1: is conducting similar research. And as a matter of fact, 835 00:55:13,840 --> 00:55:16,240 Speaker 1: I feel like we have a leg to stand on there. Well, 836 00:55:16,280 --> 00:55:18,319 Speaker 1: we have a leg to stand on definitely that the 837 00:55:18,440 --> 00:55:22,200 Speaker 1: US was providing funding one hundred percent for our research, 838 00:55:23,719 --> 00:55:25,880 Speaker 1: and it's one of those things like, look, man, I'll 839 00:55:25,920 --> 00:55:28,400 Speaker 1: give you all the money. I'll put all the money up, 840 00:55:28,920 --> 00:55:35,680 Speaker 1: just you gotta do it a year house. Yeah, oh man, 841 00:55:35,760 --> 00:55:38,920 Speaker 1: this heist sounds great, bro. I will see you when 842 00:55:38,960 --> 00:55:43,880 Speaker 1: you get back. So okay. Second, and this is even scarier. 843 00:55:44,800 --> 00:55:48,000 Speaker 1: If this were true, this would mean that the experiments 844 00:55:48,080 --> 00:55:52,440 Speaker 1: creating the infection did not include the creation of a 845 00:55:52,560 --> 00:55:55,720 Speaker 1: fail safe, some sort of fire break, or a cure 846 00:55:55,800 --> 00:55:59,719 Speaker 1: for the infection, which implies it could have been an 847 00:56:00,239 --> 00:56:04,600 Speaker 1: intended creation. Typically, if you want to be fun at 848 00:56:04,600 --> 00:56:08,920 Speaker 1: parties and you're talking about bioweapons research, remember this. Typically, 849 00:56:08,920 --> 00:56:14,000 Speaker 1: when you create some kind of weaponized pathogen for research purposes, okay, 850 00:56:14,200 --> 00:56:17,719 Speaker 1: research purposes, you want to create a thing that's sort 851 00:56:17,760 --> 00:56:22,120 Speaker 1: of crippled, something with some sort of biological built in 852 00:56:22,239 --> 00:56:28,719 Speaker 1: limits against spreading or infecting. At the very least, if 853 00:56:28,760 --> 00:56:32,480 Speaker 1: you're being extremely supervillain, you want to have something that 854 00:56:32,560 --> 00:56:36,360 Speaker 1: you have already created a cure four that remains within 855 00:56:36,440 --> 00:56:42,040 Speaker 1: your control. That's very difficult to do. Just logistically, it's 856 00:56:42,160 --> 00:56:44,120 Speaker 1: very difficult to do something like that and keep it 857 00:56:44,200 --> 00:56:46,840 Speaker 1: secret long enough for it to be effective. If you 858 00:56:46,880 --> 00:56:49,160 Speaker 1: want to go sci fi with it, you can maybe 859 00:56:49,200 --> 00:56:53,880 Speaker 1: create something that targets genetic markers and still spreads like 860 00:56:53,880 --> 00:56:57,400 Speaker 1: a virus. That's the dream of dictators and fascist and 861 00:56:57,560 --> 00:57:01,399 Speaker 1: racist throughout history. It's it's not out in the world yet, 862 00:57:02,440 --> 00:57:06,160 Speaker 1: but it keeps kidding me. Man, this lap thing. If 863 00:57:06,160 --> 00:57:10,040 Speaker 1: it was the result of classified experiments, then does that 864 00:57:10,120 --> 00:57:14,239 Speaker 1: not explain why China has been so reticent to be 865 00:57:14,320 --> 00:57:17,880 Speaker 1: transparent about it. I mean, they say they're being transparent, 866 00:57:18,000 --> 00:57:21,800 Speaker 1: but other people are disagreeing with that, other people being 867 00:57:22,000 --> 00:57:27,000 Speaker 1: literally the rest of the world. This is why, this 868 00:57:27,080 --> 00:57:28,400 Speaker 1: is what I think. I'm just get to tell you 869 00:57:28,400 --> 00:57:30,800 Speaker 1: what I think, guys, and I don't care. I don't care. 870 00:57:31,720 --> 00:57:36,480 Speaker 1: I think it was the US paying for research in China. 871 00:57:36,800 --> 00:57:41,640 Speaker 1: Something went wrong or even maybe potentially purposefully right wrong. No, 872 00:57:41,760 --> 00:57:43,920 Speaker 1: I'm just joking. I'm just getting with that part, everybody. 873 00:57:44,080 --> 00:57:47,120 Speaker 1: But something went wrong and it leaked, right, and now 874 00:57:47,120 --> 00:57:50,520 Speaker 1: you've got the two world superpowers, both culpable for a 875 00:57:50,560 --> 00:57:55,000 Speaker 1: global pandemic, and both both sides are like, we should 876 00:57:55,080 --> 00:58:05,080 Speaker 1: probably not tell anyone, right, guys, let's chap equittict. Yeah, 877 00:58:03,840 --> 00:58:09,800 Speaker 1: it's like, yeah, we'll get to a new island again. 878 00:58:09,880 --> 00:58:12,520 Speaker 1: It's gonna have four miles this time, five Miles, who cares? 879 00:58:12,640 --> 00:58:15,000 Speaker 1: You know what I mean? You're a good kid. So 880 00:58:16,040 --> 00:58:19,240 Speaker 1: what does this mean? It means that right now the 881 00:58:19,360 --> 00:58:23,240 Speaker 1: public of the world has a large body of circumstantial 882 00:58:23,600 --> 00:58:26,720 Speaker 1: yet not conclusive evidence for both the market and the 883 00:58:26,800 --> 00:58:31,880 Speaker 1: lab hypotheses, and the US government seems a house divided 884 00:58:31,880 --> 00:58:34,720 Speaker 1: on this question. Why does it matter? It does matter 885 00:58:35,120 --> 00:58:38,840 Speaker 1: because here's the harsh truth. This is not a conspiracy. 886 00:58:39,240 --> 00:58:45,720 Speaker 1: Another global pandemic is statistically inevitable as long as human 887 00:58:45,720 --> 00:58:48,640 Speaker 1: beings exist at the current stage in which they find themselves. 888 00:58:48,840 --> 00:58:53,120 Speaker 1: They're just too many indications that human society is fundamentally 889 00:58:53,440 --> 00:58:58,680 Speaker 1: unprepared to tackle a global problem of this nature. See 890 00:58:58,760 --> 00:59:04,000 Speaker 1: also other examples, terrorism, international corporations, the cutting wars, over 891 00:59:04,080 --> 00:59:07,120 Speaker 1: drinkable water. There's a ton of stuff we didn't get 892 00:59:07,160 --> 00:59:11,120 Speaker 1: to here, at which point I think, Noel Matt, I 893 00:59:11,160 --> 00:59:14,640 Speaker 1: think we need our fellow conspiracy realist help to answer 894 00:59:14,720 --> 00:59:19,120 Speaker 1: questions like cutting past the political theater and all the bs, 895 00:59:19,240 --> 00:59:24,400 Speaker 1: cutting past the geopolitical mean girls club that is global relations. 896 00:59:25,480 --> 00:59:28,400 Speaker 1: What theory do you find most credible? Folks? Why does 897 00:59:28,440 --> 00:59:31,880 Speaker 1: the US seem divided? When will the next pandemic hit? 898 00:59:32,280 --> 00:59:36,800 Speaker 1: I think we officially start taking bets sure, And before 899 00:59:36,800 --> 00:59:38,920 Speaker 1: we tell you how you can contact us and tell 900 00:59:39,000 --> 00:59:41,160 Speaker 1: us what you think about all this. I want to 901 00:59:41,200 --> 00:59:43,880 Speaker 1: put one name in everybody's head that you can do 902 00:59:43,920 --> 00:59:47,520 Speaker 1: a little research on if you wish, look up Christian 903 00:59:47,720 --> 00:59:52,240 Speaker 1: Anderson k R I S T I A N A 904 00:59:52,560 --> 00:59:56,800 Speaker 1: N D E R S E N Christian Anderson. There's 905 00:59:56,800 --> 00:59:59,560 Speaker 1: a New York Times article that we found in the 906 00:59:59,640 --> 01:00:02,960 Speaker 1: run up of this episode called Scientist opens up about 907 01:00:02,960 --> 01:00:06,480 Speaker 1: his early email to Fauci on virus origins, and it 908 01:00:06,680 --> 01:00:10,680 Speaker 1: is a thread you can follow for several days. We'd 909 01:00:10,720 --> 01:00:13,760 Speaker 1: love to know what you think. Please let us know. 910 01:00:14,520 --> 01:00:18,240 Speaker 1: You can reach us on the social media's of choice, 911 01:00:18,560 --> 01:00:22,520 Speaker 1: whichever win you prefer. We are conspiracy stuff on YouTube 912 01:00:23,120 --> 01:00:25,800 Speaker 1: it's a technically not a social media platform. We are there. 913 01:00:26,240 --> 01:00:28,280 Speaker 1: We are also on Facebook or we have our group 914 01:00:28,280 --> 01:00:31,360 Speaker 1: Here's where it gets crazy. And on Twitter conspiracy stuff, 915 01:00:31,360 --> 01:00:35,960 Speaker 1: conspiracy stuff show on Instagram and TikTok. And if you 916 01:00:36,200 --> 01:00:41,400 Speaker 1: don't sip the social meads, but you like, you like confessions, 917 01:00:41,480 --> 01:00:45,120 Speaker 1: you like sharing stories over telephonic devices, We've got your 918 01:00:45,160 --> 01:00:47,680 Speaker 1: back there as well. Just give us a call say 919 01:00:47,680 --> 01:00:52,560 Speaker 1: it with me one eight three three std WYTK. You'll 920 01:00:52,560 --> 01:00:54,760 Speaker 1: hear a hopefully familiar voice. We'll hear a beep like 921 01:00:54,920 --> 01:00:57,640 Speaker 1: so beep, and then you'll have three minutes. Those three 922 01:00:57,640 --> 01:01:01,360 Speaker 1: minutes are yours. Go nuts, go hog wild, tell us 923 01:01:01,360 --> 01:01:04,600 Speaker 1: what's on your mind, let us know if we can 924 01:01:04,680 --> 01:01:07,520 Speaker 1: use your name and or voice, give yourself a cool nickname, 925 01:01:07,560 --> 01:01:11,360 Speaker 1: and most importantly, if you have more to say, then 926 01:01:12,000 --> 01:01:15,280 Speaker 1: send us an email instead. We still read every single 927 01:01:15,320 --> 01:01:18,320 Speaker 1: email we get personally. It's my best way to contact people. 928 01:01:18,640 --> 01:01:20,400 Speaker 1: All you have to do is drop us a gold 929 01:01:20,400 --> 01:01:24,200 Speaker 1: fashion line at our address where we are conspiracy at 930 01:01:24,200 --> 01:01:44,600 Speaker 1: iHeartRadio dot com. Stuff they don't want you to know 931 01:01:44,840 --> 01:01:47,960 Speaker 1: is a production of iHeartRadio. For more podcasts from my 932 01:01:48,080 --> 01:01:51,600 Speaker 1: heart Radio, visit the iHeartRadio app, Apple Podcasts, or wherever 933 01:01:51,680 --> 01:01:52,960 Speaker 1: you listen to your favorite shows.