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 --> 00:00:12,079 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,200 --> 00:00:25,680 Speaker 1: production of I Heart Radio. Hello, welcome back to the show. 5 00:00:25,800 --> 00:00:28,360 Speaker 1: My name is Matt, my name is Noel. They called 6 00:00:28,360 --> 00:00:30,880 Speaker 1: me Ben. We are joined as always with our super 7 00:00:30,960 --> 00:00:35,239 Speaker 1: producer Alexis code named Doc Holiday Jackson. Most importantly, you 8 00:00:35,360 --> 00:00:38,440 Speaker 1: are you, You are here, and that makes this the 9 00:00:38,560 --> 00:00:41,880 Speaker 1: stuff they don't want you to know. It's the top 10 00:00:42,040 --> 00:00:45,600 Speaker 1: of the weak, fellow conspiracy realists, which means it is 11 00:00:45,680 --> 00:00:50,159 Speaker 1: time for more strange news. Want to begin today with 12 00:00:50,200 --> 00:00:54,240 Speaker 1: a shout out for our conspiracy realist over add Here's 13 00:00:54,280 --> 00:00:57,240 Speaker 1: where it gets crazy. We get a lot of great 14 00:00:57,320 --> 00:01:02,280 Speaker 1: suggestions there. If you are uh someone who engages in Facebook, 15 00:01:02,360 --> 00:01:05,480 Speaker 1: please do feel free to check that out. And as always, 16 00:01:05,560 --> 00:01:08,279 Speaker 1: thanks to everyone who has taken the time to write 17 00:01:08,280 --> 00:01:11,000 Speaker 1: to us or call us. That the numbers will give 18 00:01:11,040 --> 00:01:14,759 Speaker 1: you later to hit us to the strange events going 19 00:01:14,800 --> 00:01:19,440 Speaker 1: on in your neck of the global woods. Today's episode 20 00:01:19,560 --> 00:01:23,720 Speaker 1: is taking us to laboratories across the Pacific. It's also 21 00:01:23,840 --> 00:01:29,639 Speaker 1: taking us to a very strange death in Japan and 22 00:01:29,680 --> 00:01:35,920 Speaker 1: an ongoing scandal in Canada and Matt Noel doc uh, 23 00:01:36,400 --> 00:01:39,759 Speaker 1: if we're if we're all on board, I suggest we 24 00:01:39,959 --> 00:01:44,200 Speaker 1: go to Canada first and then travel across the pond. 25 00:01:44,280 --> 00:01:45,959 Speaker 1: What do you say. I think it's always a great 26 00:01:45,959 --> 00:01:48,160 Speaker 1: idea to go to Canada or what our neighbors to 27 00:01:48,200 --> 00:01:53,480 Speaker 1: the north, right, Yeah, people say our neighbors to the north. 28 00:01:53,800 --> 00:01:56,400 Speaker 1: I have also heard this called and this is not 29 00:01:56,560 --> 00:01:59,400 Speaker 1: us saying this, Canadian friends. I've also heard it called 30 00:01:59,400 --> 00:02:04,320 Speaker 1: dieta mayor Rica. I think because it sounds like okay, 31 00:02:04,320 --> 00:02:06,600 Speaker 1: but but it also sounds like they're saying, like like 32 00:02:06,920 --> 00:02:09,800 Speaker 1: tame America. You know, it's like they're just a little 33 00:02:09,800 --> 00:02:15,240 Speaker 1: bit more milk toast. Yeah, but in this case, um, 34 00:02:15,360 --> 00:02:19,000 Speaker 1: not so much at least the group of people and 35 00:02:19,160 --> 00:02:22,240 Speaker 1: or institution we're gonna be talking about today. Yeah, that's 36 00:02:22,360 --> 00:02:25,520 Speaker 1: that's a great way to put it, Matt, Because we 37 00:02:25,639 --> 00:02:29,960 Speaker 1: know that some stereotypes, even if they arguably have a 38 00:02:30,040 --> 00:02:34,840 Speaker 1: grain of truth, often do more damage than than they 39 00:02:34,880 --> 00:02:38,200 Speaker 1: do in terms of helping people classify one another, whether 40 00:02:38,280 --> 00:02:42,639 Speaker 1: that's a community, a country, religion, what have you. And 41 00:02:42,840 --> 00:02:47,600 Speaker 1: there is a stereotype of Canadians in the US, and 42 00:02:47,600 --> 00:02:51,840 Speaker 1: that stereotype is generally going to be loosely described as 43 00:02:51,960 --> 00:02:56,000 Speaker 1: people who are nicer, people who are friendlier, people who 44 00:02:56,080 --> 00:02:59,480 Speaker 1: are let's just say it, less likely to be violent 45 00:02:59,680 --> 00:03:04,160 Speaker 1: towards others. But again, the reason they're called stereotypes and 46 00:03:04,200 --> 00:03:09,920 Speaker 1: not truths is because a stereotype itself is not necessarily true. 47 00:03:10,520 --> 00:03:14,760 Speaker 1: The news broke recently, and you may have already heard this, folks, 48 00:03:14,840 --> 00:03:19,040 Speaker 1: the news broke recently on the discovery of a mass 49 00:03:19,320 --> 00:03:25,200 Speaker 1: grave two hundred and fifty children. Their bodies were found 50 00:03:25,240 --> 00:03:29,880 Speaker 1: at the site of a defunct boarding school in British Columbia. 51 00:03:30,240 --> 00:03:36,000 Speaker 1: And this this is an unfortunate but important update to 52 00:03:36,240 --> 00:03:41,440 Speaker 1: some of our previous work on the widespread systemic discrimination 53 00:03:41,600 --> 00:03:46,480 Speaker 1: against First Nations peoples in Canada. You see, Canada had 54 00:03:46,560 --> 00:03:52,240 Speaker 1: something called the Indian Residential school system, and the way 55 00:03:52,360 --> 00:03:57,280 Speaker 1: proponents described it was what was fraught with racism. The 56 00:03:57,360 --> 00:04:01,400 Speaker 1: idea was that through a network of free boarding schools 57 00:04:01,600 --> 00:04:07,560 Speaker 1: for Indigenous people uh the First Nations, children would be 58 00:04:07,680 --> 00:04:13,120 Speaker 1: assimilated into Canadian a k a. European society, whether by 59 00:04:13,200 --> 00:04:16,760 Speaker 1: hook or by crook, whether or not they wanted to go. 60 00:04:17,440 --> 00:04:21,039 Speaker 1: And this wasn't an exclusively Canadian thing. We did this 61 00:04:21,080 --> 00:04:23,840 Speaker 1: in the United States as well. Yes, that is correct. 62 00:04:24,720 --> 00:04:27,560 Speaker 1: Versions of this also occurred in other parts of the 63 00:04:27,560 --> 00:04:33,560 Speaker 1: Anglo sphere, in Australia in particular. And this was the 64 00:04:33,680 --> 00:04:39,799 Speaker 1: naked purpose of these institutions, of this system to quote 65 00:04:40,080 --> 00:04:42,960 Speaker 1: we've used this quote in the in previous episodes to 66 00:04:43,120 --> 00:04:47,960 Speaker 1: kill the Indian in the child. This system existed for 67 00:04:48,240 --> 00:04:51,520 Speaker 1: more than a century. This is the opposite of a dusty, 68 00:04:51,720 --> 00:04:57,800 Speaker 1: unpleasant historical footnote. Uh An estimated one hundred and fifty 69 00:04:57,960 --> 00:05:02,640 Speaker 1: thousand children were laced in these residential schools throughout the 70 00:05:02,720 --> 00:05:07,800 Speaker 1: nation by the nineteen thirties. About thirty percent of all 71 00:05:07,839 --> 00:05:13,719 Speaker 1: Indigenous children were thought to be at these schools. And 72 00:05:14,279 --> 00:05:16,920 Speaker 1: they were treated terribly, you know. And there was there 73 00:05:17,000 --> 00:05:21,080 Speaker 1: was mental physical abuse. Uh. There was what I would 74 00:05:21,120 --> 00:05:24,840 Speaker 1: deem cultural abuse, not being allowed to speak one's own language, 75 00:05:25,120 --> 00:05:29,320 Speaker 1: practice one's own belief systems, and so on. And this 76 00:05:29,480 --> 00:05:36,360 Speaker 1: abuse ranged into fatalities. The the numbers now and we'll 77 00:05:36,600 --> 00:05:38,640 Speaker 1: tell you why why this story is so important to 78 00:05:38,720 --> 00:05:41,520 Speaker 1: us at the end of this segment. But the numbers 79 00:05:41,600 --> 00:05:45,760 Speaker 1: now are almost impossible to estimate when we when we 80 00:05:45,839 --> 00:05:51,040 Speaker 1: try to think about how many children died at these schools. 81 00:05:52,200 --> 00:05:55,520 Speaker 1: The reason these numbers are are difficult to estimate is 82 00:05:55,560 --> 00:06:00,920 Speaker 1: because officially it might be referred to as an incomplete 83 00:06:00,960 --> 00:06:04,800 Speaker 1: historical record. But I don't think I can be alone 84 00:06:04,839 --> 00:06:07,640 Speaker 1: in saying that this has all the sides of an 85 00:06:07,640 --> 00:06:11,400 Speaker 1: active cover up, right, or an historical active cover up. Yeah, 86 00:06:11,760 --> 00:06:14,640 Speaker 1: thankfully there was that man, forgive me, Ben, I don't 87 00:06:14,640 --> 00:06:17,800 Speaker 1: want to jump too far too quickly. But the Truth 88 00:06:17,880 --> 00:06:23,000 Speaker 1: and Reconciliation Commission that we have mentioned before on this show. 89 00:06:23,040 --> 00:06:25,880 Speaker 1: I cannot remember the context which we discussed it, but 90 00:06:26,760 --> 00:06:30,000 Speaker 1: thankfully that occurred and there was a little more light 91 00:06:30,040 --> 00:06:34,880 Speaker 1: shed on on the subject and just the number of 92 00:06:34,880 --> 00:06:39,080 Speaker 1: of children people that went missing, and we're you know, officially, 93 00:06:39,120 --> 00:06:42,920 Speaker 1: according to the record, died at some point while they 94 00:06:42,960 --> 00:06:46,640 Speaker 1: were attending one of these schools. Um it feels as 95 00:06:46,680 --> 00:06:49,840 Speaker 1: though much is still unknown here, considering, like you said, 96 00:06:49,880 --> 00:06:53,919 Speaker 1: the number of bodies that were found, right. Yeah, So 97 00:06:54,279 --> 00:06:57,440 Speaker 1: this this leads to when the big questions will pose 98 00:06:57,640 --> 00:07:01,560 Speaker 1: at the close well or only maybe a statement. But 99 00:07:02,560 --> 00:07:08,200 Speaker 1: here's here's what happened quite recently last month, the official 100 00:07:08,240 --> 00:07:11,560 Speaker 1: announcement came out the mass grave had been found at 101 00:07:11,600 --> 00:07:15,679 Speaker 1: the site of the former cam Loops Indian Residential School. 102 00:07:16,320 --> 00:07:21,240 Speaker 1: The cam Loops Residential School operated from eighteen ninety until 103 00:07:21,400 --> 00:07:25,600 Speaker 1: the late nineteen seventies. It was around for very long time, 104 00:07:26,320 --> 00:07:30,280 Speaker 1: and efforts to find remains of children at the school 105 00:07:30,640 --> 00:07:34,720 Speaker 1: started more than two decades ago, round twenty years ago. 106 00:07:35,680 --> 00:07:39,320 Speaker 1: This was, once upon a time, one of Canada's largest 107 00:07:39,400 --> 00:07:43,920 Speaker 1: residential schools, five hundred students or so in it's heyday, 108 00:07:44,080 --> 00:07:48,840 Speaker 1: and while this grave was suspected to exist, it was 109 00:07:49,000 --> 00:07:54,520 Speaker 1: only found through the use of ground penetrating radar. The 110 00:07:54,680 --> 00:07:58,520 Speaker 1: youngest child appears to have died at the age of three. 111 00:07:58,760 --> 00:08:02,680 Speaker 1: All the children were buried decades ago. And to your point, Matt, 112 00:08:02,680 --> 00:08:07,520 Speaker 1: one of the most damning and difficult problems here is 113 00:08:07,600 --> 00:08:12,200 Speaker 1: determining cause of death for all twenty two and fifteen 114 00:08:12,280 --> 00:08:18,280 Speaker 1: of these victims. So when we when we ask how 115 00:08:18,320 --> 00:08:22,200 Speaker 1: many children died at these residential schools, whatever the causes 116 00:08:22,200 --> 00:08:26,040 Speaker 1: of death, we have to know that the families the 117 00:08:26,080 --> 00:08:32,440 Speaker 1: survivors of these children were pretty often given vague explanations 118 00:08:33,160 --> 00:08:39,640 Speaker 1: or outright fabrications. UH. The schools generally refused to acknowledge 119 00:08:39,760 --> 00:08:42,960 Speaker 1: the deaths of the children which were in their care 120 00:08:43,520 --> 00:08:47,880 Speaker 1: UH and when they did, they then generally refused to 121 00:08:47,920 --> 00:08:53,600 Speaker 1: return those children's remains to their families. In fact, and 122 00:08:53,640 --> 00:08:57,040 Speaker 1: this is uh I think, another example of the banality 123 00:08:57,080 --> 00:09:00,840 Speaker 1: of evil. Remains were only sent back to the families 124 00:09:00,960 --> 00:09:03,679 Speaker 1: if it turned out to be cheaper for the bottom 125 00:09:03,720 --> 00:09:08,400 Speaker 1: line than physically burying them at the schools. The commission 126 00:09:08,480 --> 00:09:12,880 Speaker 1: that you mentioned, Matt estimates that at least four thousand, 127 00:09:13,080 --> 00:09:16,600 Speaker 1: one hundred students had died or quote unquote god missing 128 00:09:16,760 --> 00:09:21,760 Speaker 1: from these schools and rightly demanded the Canadian government account 129 00:09:21,800 --> 00:09:25,320 Speaker 1: for all of these children, but it could not definitively 130 00:09:25,480 --> 00:09:30,760 Speaker 1: say how many had disappeared. Murray Sinclair, who's a former 131 00:09:30,880 --> 00:09:34,880 Speaker 1: judge and senator and was heading the commission, told the 132 00:09:34,880 --> 00:09:38,280 Speaker 1: New York Times that he now believes the number of 133 00:09:38,520 --> 00:09:44,280 Speaker 1: vanished or dead children was well beyond ten thousand, and 134 00:09:44,440 --> 00:09:47,760 Speaker 1: this this is terrifying. But keep in mind, folks, that 135 00:09:47,840 --> 00:09:52,360 Speaker 1: we're talking about a hundred and fifty thousand children in 136 00:09:52,440 --> 00:09:56,800 Speaker 1: total over the course over the course of this initiative. 137 00:09:57,720 --> 00:09:59,880 Speaker 1: Something I was keeping it keeps ringing my head. This 138 00:10:00,040 --> 00:10:02,800 Speaker 1: concept that there were a hundred and fifty at least 139 00:10:02,880 --> 00:10:09,040 Speaker 1: I believe institution schools, actual physical schools. And if you 140 00:10:09,080 --> 00:10:12,360 Speaker 1: imagine that the two hundred and fifteen number that was 141 00:10:12,440 --> 00:10:15,200 Speaker 1: recently found that we're talking about today is on the 142 00:10:15,280 --> 00:10:18,480 Speaker 1: really high end. You can still like, I'm just doing 143 00:10:18,520 --> 00:10:21,960 Speaker 1: it some estimations, like let's say, I mean, it's tough 144 00:10:22,000 --> 00:10:24,240 Speaker 1: to even imagine it that way, but if one school 145 00:10:24,240 --> 00:10:28,200 Speaker 1: could have that many children die and or go missing 146 00:10:28,320 --> 00:10:31,000 Speaker 1: and then have their remains found, you can only imagine 147 00:10:31,000 --> 00:10:33,960 Speaker 1: if you've got a hundred and forty nine other institutions 148 00:10:34,000 --> 00:10:37,480 Speaker 1: with similar aims, with maybe similar prejudices and other you 149 00:10:37,520 --> 00:10:39,840 Speaker 1: know things at the core of the institution, you can 150 00:10:39,920 --> 00:10:42,120 Speaker 1: only imagine that, like you said, that number could be 151 00:10:42,160 --> 00:10:44,400 Speaker 1: in the tens of thousands. Yeah, I mean, are we 152 00:10:44,440 --> 00:10:49,280 Speaker 1: talking about like criminal hiding of bodies, like obstructing this 153 00:10:49,400 --> 00:10:56,200 Speaker 1: is cover up? Yeah yeah, and in in context here 154 00:10:56,679 --> 00:11:01,040 Speaker 1: and this is this is unforgivable. It's just that a 155 00:11:01,200 --> 00:11:05,520 Speaker 1: student at a residential school in Canada was more likely 156 00:11:05,600 --> 00:11:09,320 Speaker 1: to die there than a Canadian soldier in the Second 157 00:11:09,320 --> 00:11:14,040 Speaker 1: World War, just with the numbers we know now, And 158 00:11:14,640 --> 00:11:19,439 Speaker 1: this is important, is important, yet harrowing work. The families, 159 00:11:19,480 --> 00:11:25,120 Speaker 1: the relatives, the survivors, the descendants, they deserve closure of 160 00:11:25,200 --> 00:11:27,800 Speaker 1: some sort. I think that's something that we can all 161 00:11:27,840 --> 00:11:33,040 Speaker 1: agree on, including Justin Trudeau, who has supported this initiative. 162 00:11:34,200 --> 00:11:38,320 Speaker 1: But what haunts me, and what I think haunts a 163 00:11:38,320 --> 00:11:41,120 Speaker 1: lot of us in the US and Canada. What what 164 00:11:41,280 --> 00:11:46,120 Speaker 1: haunts anyone with a shred of basic decency here is 165 00:11:46,280 --> 00:11:50,800 Speaker 1: that this example was rightly gained a lot of news. 166 00:11:51,160 --> 00:11:54,560 Speaker 1: And while this investigation rightly has a lot of support, 167 00:11:55,080 --> 00:11:58,960 Speaker 1: it's only scratching the surface. There are going to be 168 00:11:59,320 --> 00:12:03,160 Speaker 1: more he's found And yes, you know it's your earlier Pointnal. 169 00:12:03,559 --> 00:12:08,520 Speaker 1: These kinds of atrocities are not restricted to Canada. This 170 00:12:08,640 --> 00:12:12,680 Speaker 1: is there have been mass graves found at schools in Florida, 171 00:12:12,800 --> 00:12:17,040 Speaker 1: like the Florida's School for Boys. There have been cases 172 00:12:17,040 --> 00:12:20,120 Speaker 1: in Ireland like the Bond Secure Mother and Baby Home 173 00:12:20,679 --> 00:12:27,240 Speaker 1: in Ireland's Ireland's institutional discrimination is is its own episode 174 00:12:27,360 --> 00:12:32,040 Speaker 1: as well, and the public is aware of this. They 175 00:12:32,040 --> 00:12:37,520 Speaker 1: are aware of the virtual certitude, virtual certainty. Rather that 176 00:12:38,080 --> 00:12:43,360 Speaker 1: there will be more mass graves discovered. Lawmakers and First 177 00:12:43,440 --> 00:12:48,760 Speaker 1: Nations groups are currently calling for every single known former 178 00:12:48,840 --> 00:12:54,000 Speaker 1: residential school to be examined using the same technology for 179 00:12:54,160 --> 00:13:01,239 Speaker 1: these unmarked graves. It's challenging to articulate to the magnitude 180 00:13:01,240 --> 00:13:05,600 Speaker 1: of injustice and sorrow here because if you go if 181 00:13:05,600 --> 00:13:08,959 Speaker 1: you go into Canada now from Vancouver to Ottawa, you 182 00:13:09,000 --> 00:13:12,680 Speaker 1: will see these memorials that have been erected and they're 183 00:13:12,720 --> 00:13:17,520 Speaker 1: haunting children's shoes, you know, that will never be worn, 184 00:13:17,720 --> 00:13:22,320 Speaker 1: laid out in commemoration. And the thing is that for 185 00:13:22,679 --> 00:13:27,400 Speaker 1: the longest time, for the longest time, different activists and 186 00:13:27,559 --> 00:13:32,760 Speaker 1: members of First Nations communities and survivors of residential schools 187 00:13:33,200 --> 00:13:37,480 Speaker 1: have been talking about children disappearing without a trace, and 188 00:13:37,520 --> 00:13:41,720 Speaker 1: they were simply ignored in the equivalent of a horror story. 189 00:13:41,760 --> 00:13:45,160 Speaker 1: These people knew what was going on, and authorities figures 190 00:13:45,160 --> 00:13:48,680 Speaker 1: were telling them it's nothing but the wind. Yeah, and 191 00:13:48,720 --> 00:13:52,080 Speaker 1: that's it's terrible when something that is just a rumor 192 00:13:52,440 --> 00:13:56,680 Speaker 1: to everyone but the people who know for so long, 193 00:13:56,800 --> 00:14:01,599 Speaker 1: and that's a horrible thing. So um, I mean, thank 194 00:14:01,600 --> 00:14:04,120 Speaker 1: goodness it's coming out now. Is there a sense of 195 00:14:04,200 --> 00:14:11,400 Speaker 1: what caused these deaths? Just mistreatment, malnourishment, actual calculated executions. 196 00:14:11,400 --> 00:14:14,120 Speaker 1: It's just the numbers are so staggering and it had 197 00:14:14,160 --> 00:14:17,960 Speaker 1: to be some consistent reason. It's it's you know, they're 198 00:14:18,000 --> 00:14:21,440 Speaker 1: mass graves, right, so there's and they're old so there's 199 00:14:21,480 --> 00:14:25,040 Speaker 1: no way to really forensically. I guess you could forensically 200 00:14:25,040 --> 00:14:27,640 Speaker 1: determine if anyone had died of certain things, but you know, 201 00:14:28,160 --> 00:14:30,880 Speaker 1: if it was, for example, right like if there was 202 00:14:31,000 --> 00:14:34,600 Speaker 1: signs of force in any way, or you know, bone 203 00:14:34,880 --> 00:14:38,920 Speaker 1: fractures or things like that, right possibly depending on the 204 00:14:39,720 --> 00:14:42,720 Speaker 1: as Grizzlies is to say, depending on the level of 205 00:14:42,800 --> 00:14:46,560 Speaker 1: time a body has been to gained in the ground. Uh. 206 00:14:46,680 --> 00:14:49,560 Speaker 1: Some causes of death are much more easy to discern 207 00:14:49,600 --> 00:14:54,239 Speaker 1: than others, such as a broken skull for instance. Uh. 208 00:14:54,560 --> 00:14:59,200 Speaker 1: We know that suicide was probably a factor for some. 209 00:15:00,320 --> 00:15:06,800 Speaker 1: Neglect and disease were probably even larger factors. Current calculations 210 00:15:07,240 --> 00:15:13,280 Speaker 1: from the Guardian reckon that at least Ballpark nine hundred 211 00:15:13,360 --> 00:15:17,240 Speaker 1: students died of tuberculosis. More than a hundred and fifty 212 00:15:17,360 --> 00:15:22,360 Speaker 1: would die of influenza or things similar to pneumonia. And 213 00:15:22,640 --> 00:15:25,920 Speaker 1: when we look at the history of Kamloops in particular, 214 00:15:26,240 --> 00:15:30,000 Speaker 1: what we see is that it's definitely not an isolated incident. 215 00:15:30,360 --> 00:15:33,200 Speaker 1: It's just a very large school for its time. Uh. 216 00:15:33,320 --> 00:15:37,200 Speaker 1: And it was also get this initially run by the 217 00:15:37,400 --> 00:15:42,720 Speaker 1: Catholic Church from nineteen sixty nine. And this is when 218 00:15:43,800 --> 00:15:47,320 Speaker 1: this is when some experts believe the death rate was 219 00:15:47,560 --> 00:15:52,760 Speaker 1: the highest for the children forced into these schools. So 220 00:15:52,960 --> 00:15:57,880 Speaker 1: the question then is what happens, What happens in the 221 00:15:57,920 --> 00:16:02,080 Speaker 1: wake of this discovery. Will can ended a find more 222 00:16:02,280 --> 00:16:04,920 Speaker 1: mass graves. I think it's safe to say our guests 223 00:16:05,640 --> 00:16:10,240 Speaker 1: is yes. But the question we should end on here 224 00:16:10,640 --> 00:16:13,000 Speaker 1: before we move on to the next story is this. 225 00:16:13,080 --> 00:16:15,480 Speaker 1: And it's a question that we love your help answering, 226 00:16:15,520 --> 00:16:21,000 Speaker 1: fellow conspiracy realists. What should the government of Canada do next? 227 00:16:21,360 --> 00:16:26,320 Speaker 1: What can they do? Is there any sort of you know, 228 00:16:26,360 --> 00:16:30,280 Speaker 1: I I hesitate to say compensation because there is no 229 00:16:30,360 --> 00:16:34,400 Speaker 1: compensation for the loss of a child, But what what 230 00:16:34,720 --> 00:16:41,080 Speaker 1: steps should they can they take? Two to acknowledge this too, 231 00:16:41,640 --> 00:16:46,560 Speaker 1: perhaps most importantly, make sure nothing like this happens again. 232 00:16:47,360 --> 00:16:49,880 Speaker 1: Let us know when A three three st d w 233 00:16:50,080 --> 00:16:53,120 Speaker 1: y t K. You can also emails directly conspiracy at 234 00:16:53,160 --> 00:16:56,640 Speaker 1: I Heart radio dot com. Will pause for word from 235 00:16:56,640 --> 00:17:06,640 Speaker 1: our sponsor and return with more strange news. And we're 236 00:17:06,640 --> 00:17:10,840 Speaker 1: back with more strange news. UM this one. We've talked 237 00:17:10,880 --> 00:17:14,480 Speaker 1: about this briefly before on the show. UM in a 238 00:17:14,520 --> 00:17:18,200 Speaker 1: previous segment, I believe about COVID nineteen where we discussed 239 00:17:18,240 --> 00:17:22,480 Speaker 1: the idea that mink farms and exotic fur farms UH 240 00:17:22,520 --> 00:17:26,160 Speaker 1: in China could have also been an early source of 241 00:17:26,200 --> 00:17:31,800 Speaker 1: the coronavirus UM. The idea that the Biden administration is 242 00:17:31,880 --> 00:17:35,840 Speaker 1: kind of doubling down UM in its efforts to determine 243 00:17:35,880 --> 00:17:38,840 Speaker 1: the origins of the coronavirus, and that has led to 244 00:17:38,920 --> 00:17:43,879 Speaker 1: kind of a renewed well legitimacy behind this notion that UM, 245 00:17:43,960 --> 00:17:50,439 Speaker 1: the coronavirus start was leaked from this lab in Wuhan, China. 246 00:17:50,680 --> 00:17:55,720 Speaker 1: The I believe it's called the Wuhan Virology Institute UM, 247 00:17:55,800 --> 00:17:58,800 Speaker 1: and it's a very high level facility that handles all 248 00:17:58,880 --> 00:18:02,399 Speaker 1: kinds of deadly path agents UM. And it's something that 249 00:18:02,520 --> 00:18:05,480 Speaker 1: very early on was kind of met with scorn from 250 00:18:05,520 --> 00:18:10,919 Speaker 1: the internationally, from different experts in the field UM, saying 251 00:18:10,960 --> 00:18:13,040 Speaker 1: that there was no merit to it, that it was 252 00:18:13,119 --> 00:18:16,400 Speaker 1: just this kind of conspiracy theory, this way of kind 253 00:18:16,440 --> 00:18:20,240 Speaker 1: of you know, damning the Chinese government further, the idea 254 00:18:20,280 --> 00:18:23,280 Speaker 1: of like squarely pointing the finger at at the Chinese 255 00:18:23,440 --> 00:18:29,679 Speaker 1: UM government as having borderline manufactured the virus or at 256 00:18:29,680 --> 00:18:33,800 Speaker 1: the very least poorly handled you know, their business at 257 00:18:33,840 --> 00:18:37,800 Speaker 1: this very high level facility and that you know, caused 258 00:18:37,800 --> 00:18:40,159 Speaker 1: this virus to leak. Of course, you know, we we 259 00:18:40,200 --> 00:18:42,800 Speaker 1: all know that the kind of leading theory as that 260 00:18:42,920 --> 00:18:46,920 Speaker 1: it was created or not created, but it was its 261 00:18:46,920 --> 00:18:49,560 Speaker 1: genesis was at this wet market or the seafood market 262 00:18:50,040 --> 00:18:53,639 Speaker 1: where you know, lots of exotic animals are sold for 263 00:18:53,800 --> 00:18:56,560 Speaker 1: human consumption. That is kind of the I think the 264 00:18:56,600 --> 00:19:00,720 Speaker 1: idea that most people more or less except um, but 265 00:19:01,160 --> 00:19:03,919 Speaker 1: I think we all know that this whole thing, like 266 00:19:03,960 --> 00:19:07,159 Speaker 1: from the moment that coronavirus came out, it's been a 267 00:19:07,160 --> 00:19:10,639 Speaker 1: war of information and and a war of kind of 268 00:19:10,680 --> 00:19:15,520 Speaker 1: like optics and public relations where you know, the blame 269 00:19:15,560 --> 00:19:18,359 Speaker 1: game essentially, where it's like, you know, okay, um, rather 270 00:19:18,440 --> 00:19:21,159 Speaker 1: than we want to be known as the country that 271 00:19:21,240 --> 00:19:23,639 Speaker 1: kind of did a really good job in deflecting this 272 00:19:23,800 --> 00:19:27,760 Speaker 1: foreign invader, you know, this foreign biological invader that was 273 00:19:27,960 --> 00:19:32,480 Speaker 1: caused by these people, um, this this country. So it's 274 00:19:32,520 --> 00:19:35,240 Speaker 1: just an easier kind of line, it's an easier narrative 275 00:19:35,520 --> 00:19:39,040 Speaker 1: to swallow and something for the history books. Um. But 276 00:19:39,359 --> 00:19:41,560 Speaker 1: as you know, we've kind of gotten things more or 277 00:19:41,640 --> 00:19:45,720 Speaker 1: less under control. That war continues to age, as public 278 00:19:45,760 --> 00:19:49,879 Speaker 1: relations wars often do. UM and the Biden administration has 279 00:19:50,119 --> 00:19:56,640 Speaker 1: called for an investigation into any possibility of the virus 280 00:19:56,720 --> 00:20:00,440 Speaker 1: having started somewhere other than that that wet market, um, 281 00:20:00,680 --> 00:20:04,840 Speaker 1: and that includes this laboratory that we're talking about. Of course, 282 00:20:04,880 --> 00:20:08,159 Speaker 1: the Chinese government is not happy about this, because they 283 00:20:08,200 --> 00:20:11,639 Speaker 1: have their own narrative to consider uh, the idea that um, 284 00:20:11,760 --> 00:20:15,760 Speaker 1: they got their UH infection rate under control very quickly, 285 00:20:15,800 --> 00:20:18,080 Speaker 1: and that they were the ones that gave us the 286 00:20:18,119 --> 00:20:20,800 Speaker 1: information that allowed us to do what we needed to 287 00:20:20,800 --> 00:20:22,520 Speaker 1: do to get it under control, and kind of casting 288 00:20:22,560 --> 00:20:24,560 Speaker 1: themselves as like sort of the hero in this story. 289 00:20:24,720 --> 00:20:27,400 Speaker 1: Everybody wants to be the hero in the story, right, Um. 290 00:20:27,440 --> 00:20:31,520 Speaker 1: But the idea of the lab leak was always kind of, 291 00:20:31,560 --> 00:20:34,360 Speaker 1: you know, this sort of conspiracy theory. And now because 292 00:20:34,400 --> 00:20:38,040 Speaker 1: of this official intelligence report that was I guess it 293 00:20:38,080 --> 00:20:41,200 Speaker 1: wasn't Leath, but it was made public um and reported 294 00:20:41,200 --> 00:20:43,679 Speaker 1: on about a week ago. So this is not a 295 00:20:43,720 --> 00:20:45,280 Speaker 1: brand new story, but it's something that I think is 296 00:20:45,320 --> 00:20:47,880 Speaker 1: worth discussing. UM that is being given a lot more 297 00:20:47,880 --> 00:20:50,040 Speaker 1: credence than it was her into mainstream a little bit 298 00:20:50,040 --> 00:20:53,600 Speaker 1: more and not be dismissed because the intelligence community is 299 00:20:54,000 --> 00:20:56,920 Speaker 1: investigating it, because they have not been able to definitively 300 00:20:57,080 --> 00:20:59,480 Speaker 1: prove where it came from. And you might ask, why 301 00:20:59,480 --> 00:21:02,440 Speaker 1: does that matter her h, But it matters for those 302 00:21:02,480 --> 00:21:05,040 Speaker 1: reasons because we want the history books to reflect us 303 00:21:05,080 --> 00:21:08,080 Speaker 1: as the victors and us as like the protagonists in 304 00:21:08,119 --> 00:21:12,800 Speaker 1: this story. So of course the Chinese government has shot back. Uh. 305 00:21:12,840 --> 00:21:18,399 Speaker 1: The Chinese Foreign Ministry spokesperson Zo le Shan told reporters, quote, 306 00:21:18,440 --> 00:21:22,920 Speaker 1: some people in the United States completely ignore facts and science, um, 307 00:21:23,000 --> 00:21:25,560 Speaker 1: and so it is very much pushing back against this 308 00:21:25,720 --> 00:21:30,600 Speaker 1: whole idea and consequently and kind of a well you're 309 00:21:30,600 --> 00:21:34,200 Speaker 1: gonna investigate us, We're going to investigate you. Um. So 310 00:21:34,320 --> 00:21:38,480 Speaker 1: they have uh called for their own probe into the 311 00:21:38,560 --> 00:21:42,520 Speaker 1: idea that it came from the United States military, um, 312 00:21:42,520 --> 00:21:45,960 Speaker 1: in some sort of transport situation to a military base 313 00:21:46,240 --> 00:21:50,600 Speaker 1: in Wuhan. So that's sort of a new development there, um. 314 00:21:50,720 --> 00:21:54,280 Speaker 1: But it's interesting to see that after all this time, 315 00:21:54,800 --> 00:21:57,480 Speaker 1: we still know one is a percent sure where it 316 00:21:57,520 --> 00:22:00,679 Speaker 1: came from. And while the idea, yeah, that it was 317 00:22:00,720 --> 00:22:05,080 Speaker 1: transmitted from animals to humans probably has the most sand 318 00:22:05,080 --> 00:22:07,480 Speaker 1: to it because there's precedent for that, right, there's other 319 00:22:07,560 --> 00:22:10,960 Speaker 1: viruses that we know have have done exactly that, like 320 00:22:11,119 --> 00:22:15,600 Speaker 1: the Zeka virus for example, or other coronaviruses in the past, 321 00:22:15,960 --> 00:22:20,040 Speaker 1: or I believe what was another one, leprosy and Armadillo's 322 00:22:20,200 --> 00:22:22,879 Speaker 1: leprosy and rmtail is exactly Um, so we know that 323 00:22:22,920 --> 00:22:25,119 Speaker 1: this happens, and so it makes sense for it to 324 00:22:25,160 --> 00:22:27,119 Speaker 1: be certainly at the top of the list, you know, 325 00:22:27,119 --> 00:22:29,879 Speaker 1: at least in the top five. But Ben, we also 326 00:22:30,000 --> 00:22:33,720 Speaker 1: have precedent for these lab leaks, don't we. Yeah, that's right. No, 327 00:22:34,359 --> 00:22:37,440 Speaker 1: I believe I've mentioned this in a previous episode or 328 00:22:38,080 --> 00:22:43,080 Speaker 1: previous Strange News segment. But there there are documented cases 329 00:22:43,480 --> 00:22:49,640 Speaker 1: throughout history of dangerous pathogens releasing, not not through design, 330 00:22:50,000 --> 00:22:53,600 Speaker 1: not through you know, bioweaponry attempts, but just through good 331 00:22:53,600 --> 00:22:57,080 Speaker 1: old fashioned lab leaks and human error, like smallpox in 332 00:22:57,080 --> 00:23:00,840 Speaker 1: the nineties seventies and Birmingham, England. It's turns out that 333 00:23:00,960 --> 00:23:05,719 Speaker 1: in Singapore, believe the first like since two thousand and 334 00:23:05,800 --> 00:23:09,640 Speaker 1: three when there was a Stars outbreak. If you'll remember, 335 00:23:10,000 --> 00:23:13,760 Speaker 1: there have been no less than six lab leaks of Stars. 336 00:23:13,880 --> 00:23:17,919 Speaker 1: The first one took place in Singapore at the National University. 337 00:23:18,000 --> 00:23:21,560 Speaker 1: It was as simple as a graduate student contracting the 338 00:23:21,640 --> 00:23:27,280 Speaker 1: infection from a contaminated sample. So human error itself is 339 00:23:27,320 --> 00:23:30,080 Speaker 1: not a conspiracy, and I think that's one of the 340 00:23:30,119 --> 00:23:34,199 Speaker 1: things we need to re emphasize again the questions that 341 00:23:34,280 --> 00:23:39,600 Speaker 1: the current administration are asking are really due diligence, even 342 00:23:39,600 --> 00:23:42,760 Speaker 1: though I profoundly appreciate your point there about sort of 343 00:23:42,760 --> 00:23:45,760 Speaker 1: a war for hearts and minds. If you read news 344 00:23:45,800 --> 00:23:49,440 Speaker 1: coming out of the Pacific, depending on which agencies you 345 00:23:49,560 --> 00:23:53,680 Speaker 1: go with, you read something like Channel News Asia, you'll 346 00:23:53,720 --> 00:23:58,399 Speaker 1: see people arguing that investigations into the origin of COVID 347 00:23:58,480 --> 00:24:03,320 Speaker 1: nineteen are portrayed as partially about scientific interest or better 348 00:24:03,359 --> 00:24:07,240 Speaker 1: empowering ourselves knowledge throughout a handle future pandemics. But you'll 349 00:24:07,240 --> 00:24:11,640 Speaker 1: also see pundits arguing this is a competition for influence 350 00:24:11,720 --> 00:24:15,960 Speaker 1: between the US and China, And right now you'll see 351 00:24:16,000 --> 00:24:18,880 Speaker 1: both sides are calling for like you said, the Chinese 352 00:24:18,880 --> 00:24:22,720 Speaker 1: side is calling for that investigation of US military facilities. 353 00:24:23,080 --> 00:24:27,480 Speaker 1: But at the same time, you know, Faucci is Faucci 354 00:24:27,520 --> 00:24:31,679 Speaker 1: and the current administration are urging China to release the 355 00:24:31,800 --> 00:24:35,119 Speaker 1: medical records of people who worked at the Wuhan lab. 356 00:24:35,680 --> 00:24:39,080 Speaker 1: And that's tough. That's a tough one to handle, right 357 00:24:39,160 --> 00:24:43,240 Speaker 1: because it makes you look suspicious if you refuse. But 358 00:24:43,800 --> 00:24:48,000 Speaker 1: to be absolutely fair, one could also argue this could 359 00:24:48,000 --> 00:24:52,840 Speaker 1: be a violation of their you know, their personal information 360 00:24:52,920 --> 00:24:56,240 Speaker 1: depend on how you make it anonymous. And you can't 361 00:24:56,280 --> 00:24:58,959 Speaker 1: really make it anonymous because if you're tracing a single 362 00:24:59,119 --> 00:25:02,080 Speaker 1: leak in a lab, then you're following a specific person 363 00:25:02,600 --> 00:25:06,439 Speaker 1: as they you know, spread this across multiple vectors. So 364 00:25:06,520 --> 00:25:09,760 Speaker 1: when then looking at everybody else very specifically in what 365 00:25:09,840 --> 00:25:12,400 Speaker 1: they did, so yeah, it becomes very personal for everyone, 366 00:25:12,760 --> 00:25:16,000 Speaker 1: very Kevin Bacon, very six degrees right, But beyond that, 367 00:25:16,080 --> 00:25:19,480 Speaker 1: and so I like this is important though, that's the 368 00:25:19,520 --> 00:25:23,000 Speaker 1: other thing. It is important to know where this came from, 369 00:25:23,040 --> 00:25:27,359 Speaker 1: how this happened, and it's a shame that it's entered 370 00:25:27,400 --> 00:25:32,560 Speaker 1: the realm of geopolitics, and and a little bit of 371 00:25:32,640 --> 00:25:39,119 Speaker 1: maybe being overly concerned about an international image, because really 372 00:25:39,160 --> 00:25:42,960 Speaker 1: what that means if you're looking at the very very 373 00:25:43,040 --> 00:25:47,560 Speaker 1: basic terms, you're casting aside all the worries about international relations, 374 00:25:47,920 --> 00:25:51,840 Speaker 1: all the worries about geopolitical reputation. What you're seeing is 375 00:25:52,520 --> 00:25:58,639 Speaker 1: countries saying our public standing is more important than the truth, 376 00:25:59,000 --> 00:26:01,600 Speaker 1: or you're seeing them say we're okay with x amount 377 00:26:01,600 --> 00:26:04,520 Speaker 1: of people dying, so long as we look good at 378 00:26:04,560 --> 00:26:06,760 Speaker 1: the end, and now that's not you know, of course 379 00:26:06,840 --> 00:26:10,320 Speaker 1: it's tough to ascribe motive because again, like you guys said, 380 00:26:10,359 --> 00:26:13,879 Speaker 1: we don't have we still do not have a solid answer. 381 00:26:14,440 --> 00:26:16,479 Speaker 1: And for anybody's listening to our work on COVID as 382 00:26:16,520 --> 00:26:19,680 Speaker 1: the pandemic unfolded, you know, it's pretty obvious that we 383 00:26:19,680 --> 00:26:24,080 Speaker 1: were in what the military sometimes calls a fluid situation, 384 00:26:24,240 --> 00:26:27,720 Speaker 1: right because we were getting the updates around about the 385 00:26:27,760 --> 00:26:30,400 Speaker 1: same time. A lot of us listening today, we're so 386 00:26:30,640 --> 00:26:33,520 Speaker 1: nol what's the what are the next steps? Where is 387 00:26:33,560 --> 00:26:36,560 Speaker 1: the administration with this pressure? Yeah, that's a good question. Um, 388 00:26:36,600 --> 00:26:39,000 Speaker 1: I mean, as I was saying, the you know, Beijing 389 00:26:39,080 --> 00:26:42,000 Speaker 1: has is absolutely pushed back. The w h O already 390 00:26:42,119 --> 00:26:47,080 Speaker 1: visited the lab and issue a report that indicated it 391 00:26:47,160 --> 00:26:52,520 Speaker 1: was highly unlikely that um the virus originated there and 392 00:26:52,560 --> 00:26:55,680 Speaker 1: there are pretty compelling reasons for this, or at least 393 00:26:55,720 --> 00:26:59,720 Speaker 1: in terms of what the folks at the lab are saying. 394 00:26:59,800 --> 00:27:02,320 Speaker 1: At the lab in Wuhan, they are saying that they 395 00:27:02,520 --> 00:27:06,600 Speaker 1: didn't have a virus like this, or they don't keep 396 00:27:06,640 --> 00:27:10,160 Speaker 1: typically live viruses, they keep like portions. I'm not again, 397 00:27:10,160 --> 00:27:13,120 Speaker 1: I'm not a scientist but they keep sort of samples 398 00:27:13,160 --> 00:27:15,800 Speaker 1: that are like parts like six segments of the of 399 00:27:15,840 --> 00:27:17,879 Speaker 1: the sequence I believe is how you might refer to 400 00:27:17,960 --> 00:27:21,040 Speaker 1: it UM, but not like a live, active version of 401 00:27:21,080 --> 00:27:23,479 Speaker 1: a virus, which is what it would take to create 402 00:27:23,520 --> 00:27:27,080 Speaker 1: this pandemic. UH. It would have to also be like 403 00:27:27,600 --> 00:27:33,119 Speaker 1: ninety nine point nine percent identical or similar to the 404 00:27:33,160 --> 00:27:35,440 Speaker 1: one that is out there, and that is not apparently 405 00:27:35,480 --> 00:27:37,639 Speaker 1: the case based on what the w H Show found 406 00:27:38,080 --> 00:27:42,960 Speaker 1: or again, who knows what level of cooperation Beijing UM 407 00:27:43,080 --> 00:27:45,359 Speaker 1: gave the w H Show when they did their probe. 408 00:27:45,359 --> 00:27:49,520 Speaker 1: As we know, like these kinds of geopolitical cooperative you know, 409 00:27:50,280 --> 00:27:55,160 Speaker 1: things UM are often lacking in full transparency. It's sort 410 00:27:55,160 --> 00:27:58,159 Speaker 1: of AUM. I guess you could say technicality or a 411 00:27:58,280 --> 00:28:01,120 Speaker 1: courtesy to allow them to UM and check things out, 412 00:28:01,400 --> 00:28:04,000 Speaker 1: but are they given full access. You know. It's the 413 00:28:04,040 --> 00:28:06,480 Speaker 1: same with like looking for weapons of mass destruction, you 414 00:28:06,480 --> 00:28:08,760 Speaker 1: know with the u N for example, or you know, 415 00:28:09,000 --> 00:28:13,280 Speaker 1: UM checking into enrichment of uranium in other countries, like 416 00:28:13,480 --> 00:28:16,320 Speaker 1: it ultimately comes down to accepting the word of the 417 00:28:16,320 --> 00:28:20,040 Speaker 1: country that you're investigating. It's interesting, yeah, because you know 418 00:28:20,520 --> 00:28:25,840 Speaker 1: it's something that we have seen on this show. Unfortunately, 419 00:28:25,880 --> 00:28:29,960 Speaker 1: we've seen it, and pretty often it is not uncommon 420 00:28:30,040 --> 00:28:34,600 Speaker 1: for something to be dismissed is some crazy you know 421 00:28:34,920 --> 00:28:39,400 Speaker 1: wha could do hyperbolic conspiracy theory, only for it later 422 00:28:39,680 --> 00:28:44,520 Speaker 1: to end up being partially in some cases completely true, 423 00:28:44,760 --> 00:28:47,760 Speaker 1: such as you know, laundry money for drug cartels. I 424 00:28:47,760 --> 00:28:50,040 Speaker 1: have to be careful when I use that example now 425 00:28:50,280 --> 00:28:54,960 Speaker 1: because it's so old it's an antique. But the absolute 426 00:28:54,960 --> 00:28:58,920 Speaker 1: truth of the matter is that a large portion of 427 00:28:58,960 --> 00:29:02,040 Speaker 1: the world's media, uh, we did something that I think 428 00:29:02,320 --> 00:29:07,120 Speaker 1: was well intentioned but not good science. They pre debunked. 429 00:29:07,520 --> 00:29:09,320 Speaker 1: And that's an error that a lot of people who 430 00:29:09,400 --> 00:29:13,680 Speaker 1: consider themselves skeptics tend to make, because you can consider 431 00:29:13,720 --> 00:29:17,000 Speaker 1: yourself a skeptic and still not apply critical thinking. As 432 00:29:17,040 --> 00:29:18,680 Speaker 1: a matter of fact, you can argue that it's very 433 00:29:18,720 --> 00:29:22,320 Speaker 1: tempting to forget that piece of skepticism when you feel 434 00:29:22,320 --> 00:29:25,320 Speaker 1: like you've already got it down pat So they predebunked 435 00:29:25,320 --> 00:29:27,840 Speaker 1: this stuff. But if you look back as far as 436 00:29:27,880 --> 00:29:35,480 Speaker 1: like US diplomats were warning about inadequate safety standards at 437 00:29:35,520 --> 00:29:39,320 Speaker 1: this lab in wu Hot. They were saying, watch out, 438 00:29:40,120 --> 00:29:43,200 Speaker 1: this is not you know, this is not kosher, this 439 00:29:43,280 --> 00:29:46,680 Speaker 1: is not on the level they're playing with fire, and 440 00:29:46,800 --> 00:29:50,320 Speaker 1: you know, disease like fire can be contagious in certain circumstances, 441 00:29:50,560 --> 00:29:53,400 Speaker 1: and they're they're not doing their due diligence. Can we 442 00:29:53,440 --> 00:29:55,640 Speaker 1: talk about For Dietrich for a minute. I was about 443 00:29:55,680 --> 00:29:58,800 Speaker 1: to say, yeah, it's it's hugely important in this discussion 444 00:29:58,840 --> 00:30:01,440 Speaker 1: because that is the bay that I alluded to early. 445 00:30:01,520 --> 00:30:04,040 Speaker 1: But yeah, take it away, man. Oh well, well, we've 446 00:30:04,040 --> 00:30:07,840 Speaker 1: been hearing rumors about Fort Dietrich and other US labs 447 00:30:08,040 --> 00:30:10,840 Speaker 1: and you know, not necessarily just working for the government, 448 00:30:10,840 --> 00:30:14,080 Speaker 1: but some private labs as well. And even Josh Clark 449 00:30:14,160 --> 00:30:17,400 Speaker 1: in his End of the World so talked about labs 450 00:30:17,440 --> 00:30:22,280 Speaker 1: where you can manipulate viruses, you can strengthen viruses, you 451 00:30:22,320 --> 00:30:25,800 Speaker 1: can um, what is the term, Oh, guys already forgot it? 452 00:30:25,880 --> 00:30:30,720 Speaker 1: Where you add you add a Gaina function or something exactly. 453 00:30:30,760 --> 00:30:31,959 Speaker 1: That's exactly what it is. I was trying to think 454 00:30:31,960 --> 00:30:33,520 Speaker 1: of that term earlier when I was chatting with ben 455 00:30:33,560 --> 00:30:36,440 Speaker 1: off Off Mike. But um that that's a big part 456 00:30:36,440 --> 00:30:39,400 Speaker 1: of the conversation and and part of what China is 457 00:30:39,440 --> 00:30:41,560 Speaker 1: pushing back against, saying that's exactly the kind of thing 458 00:30:41,600 --> 00:30:45,000 Speaker 1: that happens at Fort Dietrich um and over two hundred 459 00:30:45,040 --> 00:30:49,160 Speaker 1: other US bio labs. The quote from zal is what 460 00:30:49,360 --> 00:30:53,120 Speaker 1: secrets are hidden and the suspicion shrouded Fort Dietrich and 461 00:30:53,160 --> 00:30:57,160 Speaker 1: the over two hundred US bio labs all over the world. Um. 462 00:30:57,360 --> 00:30:59,440 Speaker 1: And it's it's it's China that's been pushing this whole 463 00:30:59,440 --> 00:31:04,360 Speaker 1: Fort Ditch theory um for a while since last March. UM. 464 00:31:04,480 --> 00:31:07,800 Speaker 1: And they're saying they're calling now in the face of 465 00:31:07,840 --> 00:31:10,960 Speaker 1: this new probe that they will probably not. They really 466 00:31:11,000 --> 00:31:13,920 Speaker 1: have no reason to cooperate with They already cooperated once. 467 00:31:14,440 --> 00:31:16,360 Speaker 1: If we go back in, we're basically saying we think 468 00:31:16,360 --> 00:31:20,120 Speaker 1: they're lying. Um, So why would they cooperate again. I 469 00:31:20,280 --> 00:31:21,920 Speaker 1: don't really see it. It It seems to me like more 470 00:31:21,920 --> 00:31:24,520 Speaker 1: of a political thing, like rhetoric wise, than it is 471 00:31:24,560 --> 00:31:27,920 Speaker 1: an actual functional thing that's gonna go well or yield 472 00:31:27,960 --> 00:31:31,720 Speaker 1: any results. What about a little quid pro quote claries, 473 00:31:32,080 --> 00:31:36,160 Speaker 1: I mean, why not have why not have another probe 474 00:31:36,160 --> 00:31:38,880 Speaker 1: at the Wuhan lab and in exchange, the U S 475 00:31:38,920 --> 00:31:43,600 Speaker 1: allows the same at Fort Dietrich not gonna happen. We 476 00:31:43,680 --> 00:31:47,120 Speaker 1: also have to remember, in the context of the in 477 00:31:47,200 --> 00:31:50,320 Speaker 1: the context of the reporting for a lot of people 478 00:31:50,360 --> 00:31:53,840 Speaker 1: who live in China and who live in East Asia. 479 00:31:54,240 --> 00:31:58,560 Speaker 1: For Dietrich is not an unknown entity at all. For 480 00:31:58,760 --> 00:32:05,240 Speaker 1: Dietrich is old uh. Frank Olsen, the biochemical aerosol warfare 481 00:32:05,360 --> 00:32:11,920 Speaker 1: expert who infamously died like a Russian doctor by falling 482 00:32:12,000 --> 00:32:17,200 Speaker 1: through a window in a hotel, was active in Fort 483 00:32:17,280 --> 00:32:23,120 Speaker 1: Dietrict's biochemical warfare biowarfare programs during the Korean War, and 484 00:32:23,360 --> 00:32:27,640 Speaker 1: later later investigations would reveal that a lot of his 485 00:32:27,760 --> 00:32:31,520 Speaker 1: work at Fort Dietrich may have been applied on the 486 00:32:31,600 --> 00:32:34,800 Speaker 1: Korean Peninsula during the course of what the US calls 487 00:32:34,880 --> 00:32:37,680 Speaker 1: the Korean War. So if you are aware of history, 488 00:32:38,080 --> 00:32:41,560 Speaker 1: aware of the way the narratives often spun in East 489 00:32:41,600 --> 00:32:43,840 Speaker 1: Asia and in parts to China, then when you hear 490 00:32:43,880 --> 00:32:48,040 Speaker 1: Fort Dietrich, you can't really be blamed for going Oh yeah, 491 00:32:48,080 --> 00:32:53,880 Speaker 1: of course the biowarfare headquarters. I don't think that sounds crazy, 492 00:32:54,240 --> 00:32:56,600 Speaker 1: you know, so I think we have to understand the context. 493 00:32:56,960 --> 00:32:59,400 Speaker 1: I mean, do you think that, Noel Matt, Do you 494 00:32:59,440 --> 00:33:02,600 Speaker 1: guys think that if if the US agreed to some 495 00:33:02,680 --> 00:33:05,560 Speaker 1: kind of limited probe of Fort Dietrich where they are 496 00:33:05,640 --> 00:33:08,600 Speaker 1: doing gain of function experiments, or they have done the 497 00:33:08,640 --> 00:33:11,200 Speaker 1: same way that Wuhan's lap did. Do you think that 498 00:33:11,520 --> 00:33:13,920 Speaker 1: the government of China would be more amenable to a 499 00:33:13,920 --> 00:33:18,400 Speaker 1: further probe of the Wuhan Lap Maybe? I. I don't 500 00:33:18,400 --> 00:33:20,880 Speaker 1: think it matters, you know, I think it's all just 501 00:33:20,960 --> 00:33:22,840 Speaker 1: kind of smoke at this point where everyone is just 502 00:33:22,880 --> 00:33:26,920 Speaker 1: trying to deflect the blame or or you know, dump 503 00:33:26,960 --> 00:33:29,600 Speaker 1: it on the other party. Um, and that would be 504 00:33:29,640 --> 00:33:31,720 Speaker 1: kind of a zero sum game, wouldn't it. You know, 505 00:33:31,960 --> 00:33:34,920 Speaker 1: like it doesn't really benefit China to to let them 506 00:33:34,960 --> 00:33:37,720 Speaker 1: do that, because again, we know that their government is 507 00:33:37,760 --> 00:33:41,720 Speaker 1: not transparent, they're not known for their candor that's sort 508 00:33:41,720 --> 00:33:45,000 Speaker 1: of part of their thing, right, Um, And that's a 509 00:33:45,040 --> 00:33:49,160 Speaker 1: real problem when you're trying to come to a mutually 510 00:33:49,480 --> 00:33:53,000 Speaker 1: agreed upon conclusion about where something comes from, if you 511 00:33:53,040 --> 00:33:56,760 Speaker 1: don't have cooperation within the scientific community from these different countries, 512 00:33:56,920 --> 00:33:59,040 Speaker 1: which is likely not ever gonna happen in the way 513 00:33:59,080 --> 00:34:01,880 Speaker 1: that that would be a active I think, yeah, I don't. 514 00:34:01,920 --> 00:34:06,160 Speaker 1: I don't know why either superpower would give up exactly 515 00:34:06,200 --> 00:34:09,200 Speaker 1: what they're doing in you know, their laboratories where they're 516 00:34:09,320 --> 00:34:14,120 Speaker 1: essentially testing weapons and how to you know, there's massively 517 00:34:14,280 --> 00:34:18,840 Speaker 1: vital biological research done at these facilities. I can guarantee 518 00:34:18,880 --> 00:34:22,120 Speaker 1: you where it is trying to decipher, you know, how 519 00:34:22,160 --> 00:34:25,960 Speaker 1: to prevent the next one, how to fight back against 520 00:34:26,000 --> 00:34:31,200 Speaker 1: specific types of viral viruses, and other methods of biological warfare. 521 00:34:31,480 --> 00:34:35,879 Speaker 1: But these are also weapons facilities, right, it's research, it's 522 00:34:35,960 --> 00:34:37,839 Speaker 1: it's R and D in a way, especially if they're 523 00:34:37,840 --> 00:34:41,520 Speaker 1: performing the gain of function stuff. So I can't imagine 524 00:34:41,560 --> 00:34:44,200 Speaker 1: anyone letting at least I couldn't. I can't imagine either 525 00:34:44,280 --> 00:34:48,319 Speaker 1: these powers letting the other one in without doing a 526 00:34:48,520 --> 00:34:53,440 Speaker 1: serious forensic cleanse of the data first, you know, and 527 00:34:53,480 --> 00:34:56,719 Speaker 1: then also imagine you know, the rationale for some of 528 00:34:56,760 --> 00:35:01,200 Speaker 1: these experiments. Part of it is to get first past 529 00:35:01,320 --> 00:35:06,000 Speaker 1: the post. If if everybody is working on inventing a 530 00:35:06,040 --> 00:35:09,520 Speaker 1: new gun, and you can kind of tell what your 531 00:35:09,640 --> 00:35:13,080 Speaker 1: rivals what the gun designed to look like, then you 532 00:35:13,120 --> 00:35:17,400 Speaker 1: would almost feel obligated to make that gun yourself and 533 00:35:17,480 --> 00:35:20,240 Speaker 1: get and make it first. So it's a great analogy, 534 00:35:21,680 --> 00:35:24,359 Speaker 1: you guys. It sounds it sounds so much like the 535 00:35:24,480 --> 00:35:29,480 Speaker 1: second season of the British Utopia to me, when when 536 00:35:29,520 --> 00:35:34,920 Speaker 1: the virus is initially being created, that's really weird, really well, 537 00:35:35,000 --> 00:35:38,880 Speaker 1: and there's gonna be a narrative that each country adopts, 538 00:35:39,560 --> 00:35:42,680 Speaker 1: it will likely not be the same one, uh, and 539 00:35:42,920 --> 00:35:46,319 Speaker 1: history will reflect that. So we're probably going to be 540 00:35:46,440 --> 00:35:51,360 Speaker 1: looking at this, you know, through kind of muddied lenses 541 00:35:51,560 --> 00:35:54,680 Speaker 1: for for for the rest of our lives, and history sleuths, 542 00:35:54,800 --> 00:35:58,160 Speaker 1: you know, later, way after we're gone, we'll probably do 543 00:35:58,200 --> 00:36:00,520 Speaker 1: their due diligence and come to their own allusions and 544 00:36:00,840 --> 00:36:02,719 Speaker 1: compare the two theories and see which one makes the 545 00:36:02,760 --> 00:36:04,680 Speaker 1: most sense, and maybe new things will come to light, 546 00:36:05,040 --> 00:36:07,799 Speaker 1: like they sometimes do. But it's definitely something we're gonna 547 00:36:07,800 --> 00:36:09,480 Speaker 1: be keeping an eye on for a very long time. 548 00:36:10,080 --> 00:36:12,480 Speaker 1: And with that, why don't we take another quick break 549 00:36:12,600 --> 00:36:22,080 Speaker 1: and then we'll be back with our last strange news. Okay, 550 00:36:22,160 --> 00:36:24,840 Speaker 1: and we're back, So we're gonna jump to our strange 551 00:36:24,880 --> 00:36:28,399 Speaker 1: news story. It's coming to us from Newsweek, as well 552 00:36:28,400 --> 00:36:30,640 Speaker 1: as The Guardian and a couple of other places that 553 00:36:30,719 --> 00:36:33,200 Speaker 1: have been reporting on it. I initially saw it in 554 00:36:33,239 --> 00:36:36,400 Speaker 1: a Reuter's just kind of quick post that they'll do. 555 00:36:37,560 --> 00:36:41,560 Speaker 1: Here's the title, Japanese Olympic official dies after jumping in 556 00:36:41,600 --> 00:36:45,919 Speaker 1: front of train ahead of games. And I'll just read 557 00:36:45,960 --> 00:36:49,520 Speaker 1: a little bit from this article here. The Tokyo Metropolitan 558 00:36:49,560 --> 00:36:54,359 Speaker 1: Police is investigating the death of Yasushi Moriya. I think 559 00:36:54,360 --> 00:36:56,759 Speaker 1: that's how you would say it, or Mariah. I think 560 00:36:56,760 --> 00:36:59,799 Speaker 1: it's Maria, which it is treating as an apparent suicide. 561 00:37:00,520 --> 00:37:04,319 Speaker 1: And that's from Nippon Television, the private news station there 562 00:37:04,360 --> 00:37:09,239 Speaker 1: in Japan. It occurred literally this morning, or at nine 563 00:37:09,680 --> 00:37:14,720 Speaker 1: a m. On Monday morning there in in Japan. Um 564 00:37:14,719 --> 00:37:20,600 Speaker 1: It was at the Nakano Nakanobu station. And again it's 565 00:37:20,719 --> 00:37:24,000 Speaker 1: someone who jumped in front of an oncoming train and 566 00:37:24,280 --> 00:37:27,880 Speaker 1: was killed and what at least appears to be a suicide. 567 00:37:28,040 --> 00:37:30,400 Speaker 1: The reason why we're talking about it today is because 568 00:37:30,520 --> 00:37:34,280 Speaker 1: this person was a senior official within the Olympic Committee 569 00:37:34,280 --> 00:37:38,040 Speaker 1: there in Japan. And as you know, as the Olympics 570 00:37:38,040 --> 00:37:41,000 Speaker 1: are being prepared and they it does seem as though 571 00:37:41,000 --> 00:37:44,160 Speaker 1: the Olympics are going forward this year very soon. It's 572 00:37:44,200 --> 00:37:48,000 Speaker 1: they're less than fifty days until the Olympics begin. And 573 00:37:48,200 --> 00:37:51,440 Speaker 1: we have before discussed a bit on this show the 574 00:37:51,520 --> 00:37:56,719 Speaker 1: corruption that can occur in big commissions, big organizations like 575 00:37:56,880 --> 00:38:02,000 Speaker 1: the Olympic Committee, like FIFA, like really anything like like 576 00:38:02,120 --> 00:38:05,280 Speaker 1: Paola to like contract them to come to your country 577 00:38:05,600 --> 00:38:08,520 Speaker 1: things like that and under under the table deals. Yes, 578 00:38:08,600 --> 00:38:11,040 Speaker 1: we we've discussed that before. John Oliver on last week 579 00:38:11,040 --> 00:38:16,719 Speaker 1: Tonight has done extensive discussion of these very things. Um. 580 00:38:16,880 --> 00:38:19,920 Speaker 1: The reason why it strikes me at least as interesting 581 00:38:19,960 --> 00:38:22,880 Speaker 1: and worth discussing is because this person was essentially on 582 00:38:22,920 --> 00:38:27,360 Speaker 1: the accounting side of all of that. And you know, 583 00:38:27,520 --> 00:38:31,200 Speaker 1: the Olympics are a massively expensive thing for a country 584 00:38:31,239 --> 00:38:36,040 Speaker 1: to take on, building the infrastructure to host so many 585 00:38:36,080 --> 00:38:40,399 Speaker 1: different activities, so many you know, hotels in the area 586 00:38:40,560 --> 00:38:43,000 Speaker 1: for people to stay, to make sure every all again, 587 00:38:43,080 --> 00:38:48,360 Speaker 1: just even the travel infrastructure. It's it's insanely expensive, and 588 00:38:49,040 --> 00:38:51,600 Speaker 1: trying to put it on in a time when you know, 589 00:38:51,640 --> 00:38:54,800 Speaker 1: we're still in the pandemic. As as good as things 590 00:38:54,800 --> 00:38:58,680 Speaker 1: are looking, at least from the projections, we're still amidst 591 00:38:58,680 --> 00:39:02,719 Speaker 1: the pandemic and Japan itself has seen a bit of 592 00:39:02,760 --> 00:39:06,440 Speaker 1: a resurgence in cases. So there's a lot of public 593 00:39:06,480 --> 00:39:11,279 Speaker 1: backlash against these games. There's all around. I think there 594 00:39:11,320 --> 00:39:16,160 Speaker 1: were ten thousand volunteers who recently decided not to volunteer 595 00:39:16,320 --> 00:39:19,360 Speaker 1: for the Olympic Games as they would have in the past, 596 00:39:19,480 --> 00:39:22,719 Speaker 1: or if this was I guess a normal year, if 597 00:39:22,719 --> 00:39:25,359 Speaker 1: you if any year could be normal from the only 598 00:39:25,400 --> 00:39:30,520 Speaker 1: conspiracy was corruption, yes, instead of instead of Let's see, 599 00:39:30,560 --> 00:39:34,600 Speaker 1: I believe as of June three, two to three per 600 00:39:34,680 --> 00:39:39,279 Speaker 1: cent of Japan's population is vaccinated. Correct, at least that's 601 00:39:39,320 --> 00:39:42,719 Speaker 1: what I've seen. Just for comparison in the US, uh, 602 00:39:42,920 --> 00:39:45,920 Speaker 1: the percent of the population is fully vaccinated is something 603 00:39:45,960 --> 00:39:51,040 Speaker 1: more like got it? And and you know what is 604 00:39:51,080 --> 00:39:54,240 Speaker 1: the Olympics? Right? You are bringing in people from across 605 00:39:54,320 --> 00:40:00,319 Speaker 1: the world to one place to gather, right, And what's 606 00:40:00,360 --> 00:40:03,640 Speaker 1: the best case scenario for the virus within a pandemic? 607 00:40:03,880 --> 00:40:06,160 Speaker 1: Get a bunch of people from all over the place 608 00:40:06,200 --> 00:40:08,719 Speaker 1: to gather together in one place and then send them 609 00:40:08,760 --> 00:40:14,520 Speaker 1: all back to to every other place in the world. So, um, 610 00:40:14,600 --> 00:40:17,279 Speaker 1: it could be terrible, it could be you know, the 611 00:40:17,320 --> 00:40:22,560 Speaker 1: restart of something or something new, maybe some kind of 612 00:40:22,640 --> 00:40:25,200 Speaker 1: variant that comes out of it. It could be nothing, 613 00:40:25,200 --> 00:40:28,839 Speaker 1: it could be great. But there's so much risk involved here. 614 00:40:29,480 --> 00:40:32,800 Speaker 1: It makes me wonder what happened to this this person 615 00:40:32,880 --> 00:40:36,120 Speaker 1: who chose to end their life, or who at least 616 00:40:36,160 --> 00:40:42,240 Speaker 1: found themselves dying via train. And we don't have any answers. 617 00:40:42,280 --> 00:40:44,600 Speaker 1: As I said at the beginning of zero answers, right now, 618 00:40:44,800 --> 00:40:48,880 Speaker 1: and we only know that the Tokyo met Police are 619 00:40:49,200 --> 00:40:52,440 Speaker 1: treating they haven't made a conclusion, but they're treating it 620 00:40:52,520 --> 00:40:57,040 Speaker 1: as an apparent suicide, right correct, because this person's fifty 621 00:40:57,080 --> 00:41:00,239 Speaker 1: two year old person who was the director of the 622 00:41:00,320 --> 00:41:03,680 Speaker 1: Japan Olympic Committe's accounting department stepped off the platform as 623 00:41:03,719 --> 00:41:07,120 Speaker 1: the train was coming through, and that was from the 624 00:41:07,160 --> 00:41:10,000 Speaker 1: I D card that was found on that person. And 625 00:41:10,040 --> 00:41:13,680 Speaker 1: then we've got a situation where the state of emergency 626 00:41:13,920 --> 00:41:17,720 Speaker 1: due to the pandemic has been extended. But it looks 627 00:41:17,800 --> 00:41:23,400 Speaker 1: like the International Olympic Committee in particular is pushing is 628 00:41:23,600 --> 00:41:29,120 Speaker 1: they're quite adamant that the Olympics will begin on July three, 629 00:41:29,400 --> 00:41:34,160 Speaker 1: so late July. Uh And again, think about the money 630 00:41:34,239 --> 00:41:38,320 Speaker 1: that has been spent to create that infrastructure in Japan 631 00:41:38,440 --> 00:41:42,000 Speaker 1: for these Olympics already. If something does go wrong and 632 00:41:42,040 --> 00:41:44,440 Speaker 1: they don't get to hold the Olympics, or it you know, 633 00:41:44,560 --> 00:41:48,920 Speaker 1: falls back by another year, or it is just postponed indefinitely, 634 00:41:49,280 --> 00:41:53,799 Speaker 1: that could mean financial ruin for I don't even know 635 00:41:53,800 --> 00:41:58,480 Speaker 1: how many individuals and companies. Yeah, yeah, because there's we're 636 00:41:58,520 --> 00:42:02,480 Speaker 1: in a massive sunk call situation at this point, and 637 00:42:02,520 --> 00:42:05,640 Speaker 1: that's just the official money that doesn't count, you know, 638 00:42:05,760 --> 00:42:10,040 Speaker 1: the the risk of sounding cynical, the inevitable bribery that 639 00:42:10,120 --> 00:42:14,240 Speaker 1: occurs on some level every time the IOC comes to town. 640 00:42:14,960 --> 00:42:17,360 Speaker 1: But with with this in mind, you know, I have 641 00:42:17,480 --> 00:42:21,440 Speaker 1: to ask Matt Nol, do you think it is possible 642 00:42:21,920 --> 00:42:25,840 Speaker 1: that there might be and this is entirely speculative, do 643 00:42:25,880 --> 00:42:28,320 Speaker 1: you think it is possible that there might be some 644 00:42:28,440 --> 00:42:32,480 Speaker 1: sort of blackmail or some sort of hidden hook that 645 00:42:33,480 --> 00:42:38,240 Speaker 1: IOC could be holding over the Japanese government to force 646 00:42:38,920 --> 00:42:41,920 Speaker 1: the move forward or is it simple economic necessity at 647 00:42:41,920 --> 00:42:45,960 Speaker 1: this point. Well, there are several people who have commented 648 00:42:46,440 --> 00:42:52,200 Speaker 1: who are close uh Kiori Yamaguchi, who is the Japan 649 00:42:52,320 --> 00:42:56,719 Speaker 1: Olympic Committee executive and executive board member of the um 650 00:42:57,000 --> 00:43:00,799 Speaker 1: j OC, the Japan Olympic Committee. There's several quotes from her, 651 00:43:00,800 --> 00:43:03,200 Speaker 1: at least in Newsweek that have been taken from other 652 00:43:03,280 --> 00:43:08,360 Speaker 1: Japanese publications where she is saying that they're essentially quartered 653 00:43:08,400 --> 00:43:13,120 Speaker 1: into their cornered into a situation that they cannot stop, 654 00:43:13,320 --> 00:43:15,760 Speaker 1: like they can't stop the Olympics from happening. At this point, 655 00:43:15,840 --> 00:43:18,440 Speaker 1: it's too late, but they know the risk. They understand 656 00:43:18,480 --> 00:43:22,040 Speaker 1: that you know something very bad could happen, but it 657 00:43:22,080 --> 00:43:26,759 Speaker 1: doesn't matter because essentially, again it's too late. Um, that's 658 00:43:26,760 --> 00:43:33,000 Speaker 1: a scary thought. It's like one potential analogy would be 659 00:43:33,040 --> 00:43:37,479 Speaker 1: a macro cosmic level of of a car accident. And 660 00:43:37,640 --> 00:43:40,640 Speaker 1: many of us in the audience today have been in 661 00:43:41,480 --> 00:43:46,799 Speaker 1: those accidents where you are able to see what's going on. 662 00:43:47,280 --> 00:43:50,520 Speaker 1: Then you know what's going to happen a few seconds 663 00:43:50,640 --> 00:43:53,880 Speaker 1: before the collision occurs, but you are unable to stop it. 664 00:43:54,200 --> 00:43:57,080 Speaker 1: Right the most basic level of that would be you're 665 00:43:57,120 --> 00:43:59,759 Speaker 1: pumping your brakes and your brakes don't work, and you 666 00:44:00,000 --> 00:44:02,880 Speaker 1: watch yourself hit the back of a car or a 667 00:44:02,960 --> 00:44:06,600 Speaker 1: building or something like that. And that may may well 668 00:44:06,680 --> 00:44:10,480 Speaker 1: be the situation that some Japanese officials feel they are 669 00:44:10,520 --> 00:44:14,440 Speaker 1: in right now. They're watching the car and the brakes 670 00:44:14,440 --> 00:44:18,719 Speaker 1: don't work, and John Coates, who's the International Olympic Committee 671 00:44:18,960 --> 00:44:22,919 Speaker 1: vice president, he's in the back seat going quote even 672 00:44:22,960 --> 00:44:25,440 Speaker 1: if Tokyo is still under a state of emergency, the 673 00:44:25,480 --> 00:44:29,080 Speaker 1: Olympics will go ahead. So basically in the back seat 674 00:44:29,160 --> 00:44:38,680 Speaker 1: saying yes, he's going yolo. The only thing in this situation, 675 00:44:39,280 --> 00:44:42,440 Speaker 1: it's that whatever we're about to run into it's it 676 00:44:42,560 --> 00:44:46,680 Speaker 1: may or may not be there, right so, and it 677 00:44:46,920 --> 00:44:50,560 Speaker 1: could be a contagious car accident. It could create a 678 00:44:50,600 --> 00:44:54,000 Speaker 1: global pile up. That's the worst case scenario, right, that's 679 00:44:54,040 --> 00:45:00,319 Speaker 1: the disaster that that this this accident creates accidents in Zil, 680 00:45:00,600 --> 00:45:04,600 Speaker 1: accidents in India, accidents and the US, and on and 681 00:45:04,640 --> 00:45:06,759 Speaker 1: on and on and on. But I believe they said 682 00:45:06,800 --> 00:45:10,960 Speaker 1: about eighty percent conservative estimate of the athletes are going 683 00:45:11,000 --> 00:45:17,000 Speaker 1: to be vaccinated, yes, yes, um, and almost no outside 684 00:45:17,120 --> 00:45:20,759 Speaker 1: observers will will be allowed to be there, so there 685 00:45:20,760 --> 00:45:24,640 Speaker 1: will be a minimal number of other people from other 686 00:45:24,680 --> 00:45:28,359 Speaker 1: countries besides athletes and the immediate support staff for those 687 00:45:28,400 --> 00:45:32,640 Speaker 1: athletes allowed in to view the Olympics. So that's a 688 00:45:32,719 --> 00:45:37,680 Speaker 1: positive yeah, um. But in the end, you know, in 689 00:45:37,719 --> 00:45:41,279 Speaker 1: the end, it's still a risk. Even if every even 690 00:45:41,320 --> 00:45:44,360 Speaker 1: if ninety nine point nine eight percent of the people 691 00:45:44,600 --> 00:45:47,840 Speaker 1: entering Japan who normally wouldn't be to have those Olympics, 692 00:45:48,000 --> 00:45:50,640 Speaker 1: it would still be a I don't a bit dangerous. 693 00:45:50,760 --> 00:45:53,279 Speaker 1: But again is that just me being alarmist? I don't 694 00:45:53,320 --> 00:45:57,680 Speaker 1: know really. But also here's the question, maybe more importantly 695 00:45:58,160 --> 00:46:01,760 Speaker 1: than than our thoughts on it, what do the people 696 00:46:01,960 --> 00:46:06,120 Speaker 1: of Japan think is their public support for this. No, 697 00:46:06,880 --> 00:46:09,560 Speaker 1: at least according to opinion polls, and you know those 698 00:46:09,600 --> 00:46:12,480 Speaker 1: can be swayed and you know any which way. But 699 00:46:12,800 --> 00:46:16,640 Speaker 1: the majority of the opinion polls coming out are saying 700 00:46:17,520 --> 00:46:21,520 Speaker 1: that the Japanese citizens don't want this to happen. It's 701 00:46:21,560 --> 00:46:24,279 Speaker 1: just not know what they want, Like a majority do 702 00:46:24,320 --> 00:46:27,000 Speaker 1: not wish for this to occur. They'll here you go. 703 00:46:27,480 --> 00:46:31,040 Speaker 1: This is from CBS News. According to the AP and 704 00:46:31,239 --> 00:46:34,760 Speaker 1: estimated fifty to eight percent of Japan's population doesn't believe 705 00:46:34,800 --> 00:46:37,520 Speaker 1: that the Olympics should take place. And there's been a 706 00:46:37,520 --> 00:46:45,000 Speaker 1: petition signed with what ballpark three and fifty signatures. Correct? Yeah, correct? Uh? 707 00:46:46,239 --> 00:46:49,920 Speaker 1: I mean the big question, at least for me, is 708 00:46:50,560 --> 00:46:54,960 Speaker 1: what did ya sushi? Moria moriya? No? Was it? You know, 709 00:46:55,200 --> 00:46:58,560 Speaker 1: it could have been something in your sushi's personal life 710 00:46:58,560 --> 00:47:00,920 Speaker 1: that that caused the to occur. It could have been 711 00:47:01,000 --> 00:47:04,680 Speaker 1: something completely unrelated. But just given the position that this 712 00:47:04,719 --> 00:47:08,439 Speaker 1: person was in and the timing of it, it does 713 00:47:09,080 --> 00:47:13,200 Speaker 1: make me personally feel like there's some knowledge there that 714 00:47:13,800 --> 00:47:16,760 Speaker 1: maybe we'll learn about later. Pronounced very sad that someone 715 00:47:17,040 --> 00:47:20,800 Speaker 1: is dead, and it does honestly make me feel a 716 00:47:20,800 --> 00:47:23,680 Speaker 1: little nervous that the Olympics is moving forward this year, 717 00:47:24,440 --> 00:47:26,640 Speaker 1: but it will have to wait and see what happens. 718 00:47:27,160 --> 00:47:30,920 Speaker 1: You know, while we're talking about these very high level things, 719 00:47:31,800 --> 00:47:35,440 Speaker 1: massive amounts of money, massive amounts of people. I mean, 720 00:47:35,440 --> 00:47:39,040 Speaker 1: it's the Olympics, for Pete's sake, we do also have 721 00:47:39,120 --> 00:47:42,239 Speaker 1: to recognize, you know, as you said, Matt, this is 722 00:47:42,280 --> 00:47:47,160 Speaker 1: a human life. This is a tragedy. We will hopefully 723 00:47:47,280 --> 00:47:51,160 Speaker 1: learn more about the circumstances, especially if they do they 724 00:47:51,160 --> 00:47:54,800 Speaker 1: are salient to their work at the Olympics. But also 725 00:47:54,880 --> 00:48:00,239 Speaker 1: imagine how traumatic it is to be driving that train. Yeah, 726 00:48:00,600 --> 00:48:04,279 Speaker 1: which is something that I I don't know because this 727 00:48:04,360 --> 00:48:07,040 Speaker 1: is not the first person to die in this manner 728 00:48:08,080 --> 00:48:10,200 Speaker 1: by the Olympics. And is it possible that maybe they 729 00:48:10,200 --> 00:48:13,000 Speaker 1: had a heart attack and felt We really don't know what. 730 00:48:13,080 --> 00:48:17,160 Speaker 1: We have no idea any of that stuff. Honestly, we don't. 731 00:48:17,280 --> 00:48:19,560 Speaker 1: So it could be nothing, and we're just talking about 732 00:48:19,600 --> 00:48:22,719 Speaker 1: it for just for me wanting to bring up my 733 00:48:22,800 --> 00:48:25,600 Speaker 1: concerns about the Olympics. So hey, that could be all 734 00:48:25,640 --> 00:48:28,319 Speaker 1: we're doing here today. I would say, if you were 735 00:48:28,440 --> 00:48:33,000 Speaker 1: interested in any of this, head on over to the Economist. 736 00:48:33,360 --> 00:48:36,920 Speaker 1: Economist dot com There's a great article there titled the 737 00:48:36,960 --> 00:48:40,840 Speaker 1: impulse behind Japan's decision to go on with the Olympic Games, 738 00:48:41,360 --> 00:48:45,160 Speaker 1: and it is it's a fascinating read, and it has 739 00:48:45,280 --> 00:48:47,040 Speaker 1: maybe a lot to do with what we were just 740 00:48:47,080 --> 00:48:50,600 Speaker 1: talking about with the United States and China and not 741 00:48:50,719 --> 00:48:54,040 Speaker 1: wanting to lose face over their their weapons programs and 742 00:48:54,160 --> 00:48:59,080 Speaker 1: or by you know, biological testing programs um At least 743 00:48:59,080 --> 00:49:04,040 Speaker 1: according to this fighter, it appears that Japan maybe attempting 744 00:49:04,080 --> 00:49:07,840 Speaker 1: to you know, save face a little bit because there 745 00:49:07,880 --> 00:49:09,920 Speaker 1: they were going to host the Olympics last year and 746 00:49:09,960 --> 00:49:13,319 Speaker 1: they just had to completely abandon it and you know 747 00:49:13,960 --> 00:49:17,160 Speaker 1: those sunk costs that you're talking about, and the worldwide 748 00:49:17,160 --> 00:49:20,960 Speaker 1: reputation essentially of Japan is not maybe the fears of 749 00:49:21,000 --> 00:49:24,560 Speaker 1: being eclipsed by their neighbors in China and you know, 750 00:49:24,600 --> 00:49:26,680 Speaker 1: the United States and other places that are hosting the 751 00:49:26,719 --> 00:49:30,000 Speaker 1: Olympics and making big moves. The Olympics is a big 752 00:49:30,040 --> 00:49:33,440 Speaker 1: thing to be able to host, and it does a 753 00:49:33,480 --> 00:49:36,680 Speaker 1: lot of good for your country's reputation if it goes well. 754 00:49:37,200 --> 00:49:40,239 Speaker 1: Oh we should also point out by the way it 755 00:49:40,360 --> 00:49:43,520 Speaker 1: appears that the most of the rest of the world 756 00:49:43,640 --> 00:49:46,279 Speaker 1: is supporting this at least they're sending their athletes to 757 00:49:46,320 --> 00:49:49,880 Speaker 1: the to the Olympics. The only ones who were definitely 758 00:49:49,960 --> 00:49:54,239 Speaker 1: not going right now that are confirmed are Russia and 759 00:49:54,320 --> 00:49:58,759 Speaker 1: the DPRK or North Korea. Russia wanted to go but 760 00:49:58,880 --> 00:50:03,719 Speaker 1: had a doping scandal, and uh, North Korea has has 761 00:50:03,760 --> 00:50:06,640 Speaker 1: pulled out on their own, so the rest like so, 762 00:50:07,000 --> 00:50:10,040 Speaker 1: just to be clear, it's not as if the rest 763 00:50:10,080 --> 00:50:12,160 Speaker 1: of the world is telling them not to do it. 764 00:50:12,360 --> 00:50:15,640 Speaker 1: Correct is also something to chew on, isn't it. And 765 00:50:15,680 --> 00:50:19,799 Speaker 1: like every other Olympics, the vast majority of citizens and 766 00:50:19,840 --> 00:50:22,000 Speaker 1: countries across the world would be watching it on a 767 00:50:22,080 --> 00:50:25,080 Speaker 1: television or on a computer or on their phone, So 768 00:50:25,360 --> 00:50:27,480 Speaker 1: you know, it's not like it would be that scary 769 00:50:27,520 --> 00:50:30,520 Speaker 1: to them in the moment right or or potentially dangerous 770 00:50:30,520 --> 00:50:33,800 Speaker 1: in the moment, because it's wherever there is in here somewhere. 771 00:50:34,000 --> 00:50:37,960 Speaker 1: And and from what I understand, there's an excellent article 772 00:50:38,840 --> 00:50:41,200 Speaker 1: that I think you you may have shared with us 773 00:50:41,320 --> 00:50:45,200 Speaker 1: before we went on air at the Conversation dot com 774 00:50:45,760 --> 00:50:51,320 Speaker 1: UH which points out that even if Tokyo wanted to cancel, 775 00:50:51,719 --> 00:50:54,319 Speaker 1: by which I mean you know, Japan, UH, the same 776 00:50:54,320 --> 00:50:57,040 Speaker 1: way you would say Washington when you mean the US government. 777 00:50:57,520 --> 00:51:00,319 Speaker 1: Even if Tokyo wanted to cancel, due to the way 778 00:51:00,360 --> 00:51:04,480 Speaker 1: the contract is written, they cannot. The only group that 779 00:51:04,600 --> 00:51:10,640 Speaker 1: can cancel the Olympics is the IOC by ending the contract. 780 00:51:11,000 --> 00:51:14,280 Speaker 1: So we don't know what happens that contract gets breached. 781 00:51:14,320 --> 00:51:16,800 Speaker 1: If Japan says, well, for the safety of our people, 782 00:51:17,600 --> 00:51:21,000 Speaker 1: we're not going to do this, or whether you know 783 00:51:21,160 --> 00:51:24,520 Speaker 1: the io C is I know they they made the 784 00:51:24,600 --> 00:51:28,800 Speaker 1: agreement with Fiser to make sure all all the athletes 785 00:51:28,840 --> 00:51:33,319 Speaker 1: were vaccinated. But that's still I mean that that's a 786 00:51:33,360 --> 00:51:36,600 Speaker 1: good thing. Don't get us wrong, but it's interesting that 787 00:51:36,920 --> 00:51:42,279 Speaker 1: a country at this point, for this sporting event, is 788 00:51:42,360 --> 00:51:46,560 Speaker 1: powerless to to stop something happening on their own soil. 789 00:51:47,000 --> 00:51:53,520 Speaker 1: You know, when you think about it that way, absolutely absolutely, So, Hey, 790 00:51:53,560 --> 00:51:56,000 Speaker 1: are we completely blowing this out of proportion? Is there 791 00:51:56,040 --> 00:51:58,160 Speaker 1: nothing to worry about here? Is that everything going to 792 00:51:58,280 --> 00:52:00,840 Speaker 1: be fine? Is this going to be terrible? What do 793 00:52:00,920 --> 00:52:03,200 Speaker 1: you think? We'd love to know your opinion. What do 794 00:52:03,239 --> 00:52:06,400 Speaker 1: you think happened? What do you think happened to your sushi? Maria? 795 00:52:07,320 --> 00:52:10,320 Speaker 1: We'd love to know if you actually know something. Speculating 796 00:52:10,719 --> 00:52:13,520 Speaker 1: can be interesting, but we're not really interested in that. 797 00:52:13,640 --> 00:52:16,960 Speaker 1: It's more just let's let's talk about it, and perhaps 798 00:52:17,040 --> 00:52:19,480 Speaker 1: there's something there or something known we'd love to hear 799 00:52:19,480 --> 00:52:22,799 Speaker 1: from you. And of course, if you have a firsthand 800 00:52:22,840 --> 00:52:27,160 Speaker 1: experience with any of the stories that we have explored today, 801 00:52:27,320 --> 00:52:31,440 Speaker 1: or if something you heard today has inspired you to 802 00:52:31,480 --> 00:52:35,719 Speaker 1: reach out with another related topic, we would likewise I 803 00:52:35,840 --> 00:52:38,759 Speaker 1: love to hear from you. And you know, perhaps it's 804 00:52:38,800 --> 00:52:41,360 Speaker 1: because of the nature of our discussion today, but please 805 00:52:41,480 --> 00:52:45,759 Speaker 1: everyone stay as safe as you can. You don't have 806 00:52:45,840 --> 00:52:48,120 Speaker 1: to go meet us in person just yet. That will 807 00:52:48,120 --> 00:52:51,160 Speaker 1: probably be on the road at some point. Right now. 808 00:52:51,280 --> 00:52:54,080 Speaker 1: The easiest way to find us is online, that's right. 809 00:52:54,120 --> 00:52:56,200 Speaker 1: You can find us on Facebook and Twitter where we're 810 00:52:56,200 --> 00:53:00,640 Speaker 1: conspiracy stuff. We're conspiracy stuff show on Instagram. And if 811 00:53:00,640 --> 00:53:02,239 Speaker 1: you don't want to mess with the social media as 812 00:53:02,239 --> 00:53:04,400 Speaker 1: you can give us a telephone call. That's right. 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