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 --> 00:00:25,760 Speaker 1: production of My Heart Radio, May the Fourth be with You. 5 00:00:25,880 --> 00:00:29,000 Speaker 1: My name is Matt, my name is Noel. They call 6 00:00:29,080 --> 00:00:31,400 Speaker 1: me Ben. We are joined as always with our super 7 00:00:31,440 --> 00:00:35,560 Speaker 1: producer Paul Mission controlled decades. Most importantly, you are you, 8 00:00:35,560 --> 00:00:38,880 Speaker 1: You are here, and that makes this stuff they don't 9 00:00:39,000 --> 00:00:42,960 Speaker 1: want you to know. Your favorite conspiracy QUARANTINEAM is back 10 00:00:43,159 --> 00:00:47,320 Speaker 1: live and in full effect. Gentlemen, This is part four 11 00:00:47,360 --> 00:00:51,880 Speaker 1: of our continuing series on the coronavirus pandemic and fellow 12 00:00:51,920 --> 00:00:54,960 Speaker 1: conspiracy realists. As we said in earlier episodes, we will 13 00:00:55,040 --> 00:00:58,800 Speaker 1: likely need to create more updates in the future. Since 14 00:00:58,840 --> 00:01:03,000 Speaker 1: our last COVID up so published on April fift many 15 00:01:03,040 --> 00:01:06,720 Speaker 1: many strange things have come to pass. One of the 16 00:01:06,760 --> 00:01:10,160 Speaker 1: most interesting trends I saw recently is that world leaders 17 00:01:10,200 --> 00:01:14,880 Speaker 1: are going missing. Yeah, it's true. UM as we record today, 18 00:01:15,160 --> 00:01:18,240 Speaker 1: no one's entirely sure what's going on in North Korea? 19 00:01:18,840 --> 00:01:23,399 Speaker 1: UH is Supreme Leader Kim John Un actually dead, possibly 20 00:01:23,480 --> 00:01:27,839 Speaker 1: recovering from heart surgery. Maybe he didn't have surgery at all. Yeah, 21 00:01:28,080 --> 00:01:31,360 Speaker 1: or maybe just taking a little little sabbatical from from 22 00:01:31,400 --> 00:01:37,000 Speaker 1: public life to avoid contracting the virus. M Yeah, I mean, Ben, 23 00:01:37,040 --> 00:01:38,720 Speaker 1: we were just talking about how, you know, they've kind 24 00:01:38,760 --> 00:01:41,440 Speaker 1: of made a big to do about trotting him out 25 00:01:41,760 --> 00:01:45,559 Speaker 1: at some public some events where he's visited a fertilizer plant, 26 00:01:45,640 --> 00:01:49,680 Speaker 1: I believe, And you mentioned finding the footage to be 27 00:01:49,720 --> 00:01:53,320 Speaker 1: a little on the fishy side. Yeah, It's not unusual 28 00:01:53,360 --> 00:01:57,480 Speaker 1: for authoritarian governments to have back pocket footage of earlier 29 00:01:57,520 --> 00:02:00,400 Speaker 1: appearances and then put it out as though it is current. 30 00:02:01,080 --> 00:02:04,800 Speaker 1: It's also very strange that the Supreme Leader missed the 31 00:02:05,080 --> 00:02:09,160 Speaker 1: largest holiday in the country, uh, and then just showed 32 00:02:09,240 --> 00:02:12,200 Speaker 1: up at a fertilizer factory. So I'd love I don't 33 00:02:12,200 --> 00:02:14,400 Speaker 1: know about you, guys, it's a real shordinger's kim. If 34 00:02:14,400 --> 00:02:17,240 Speaker 1: we're making dumb jokes, I'd love to hear. I'd love 35 00:02:17,280 --> 00:02:20,080 Speaker 1: to hear uh from you listeners, what do you what 36 00:02:20,160 --> 00:02:23,480 Speaker 1: do you all think is happening? Also, the President of Nicaragua, 37 00:02:23,639 --> 00:02:27,840 Speaker 1: Daniel Orteca, has disappeared. Uh. They think that that's probably 38 00:02:27,840 --> 00:02:33,000 Speaker 1: more health concern related, because he's he's been notoriously concerned 39 00:02:33,040 --> 00:02:37,040 Speaker 1: with his health after suffering some heart complications, so possibly 40 00:02:37,080 --> 00:02:40,600 Speaker 1: hold up in a bunker of some variety, similar to 41 00:02:40,639 --> 00:02:44,880 Speaker 1: Kim John jun There there was an attempted coup in Venezuela. 42 00:02:45,440 --> 00:02:48,919 Speaker 1: At least eight people were killed when that went through 43 00:02:49,360 --> 00:02:53,240 Speaker 1: or failed. Let's say there's all kinds of weird stuff happening, 44 00:02:53,400 --> 00:02:55,480 Speaker 1: sort of a minor coup though right, only eight, I 45 00:02:55,480 --> 00:02:59,680 Speaker 1: mean could have been worse. Yeah, the the guy in 46 00:03:00,040 --> 00:03:01,920 Speaker 1: large of that, the guy says he's in charge of it, 47 00:03:01,960 --> 00:03:05,600 Speaker 1: was an ex U S. Green Beret. I've got did 48 00:03:05,639 --> 00:03:08,880 Speaker 1: a piece on that for Strange News Daily, but it 49 00:03:08,960 --> 00:03:13,400 Speaker 1: sounds like, Okay, it's weird because, uh, we don't have 50 00:03:13,440 --> 00:03:15,000 Speaker 1: to get in the weeds on it. But the US 51 00:03:15,080 --> 00:03:19,240 Speaker 1: is saying they had nothing to do with it, and uh, yeah, 52 00:03:19,360 --> 00:03:22,640 Speaker 1: who do you believe, right, I mean, everything's topsy turvy, 53 00:03:22,960 --> 00:03:26,359 Speaker 1: cats and dogs sleeping together. Oil dropped to a negative 54 00:03:26,440 --> 00:03:31,000 Speaker 1: number people are paying to sell oil, which is weird. Uh. 55 00:03:31,080 --> 00:03:34,240 Speaker 1: The Navy confirmed that UFO footage we talked about that 56 00:03:34,280 --> 00:03:37,160 Speaker 1: I think or the Pentagon confirmed it. That's correct, and 57 00:03:37,280 --> 00:03:41,600 Speaker 1: that footage has been uh actually it hasn't been debunked, 58 00:03:41,640 --> 00:03:44,920 Speaker 1: but it's been shown. Several of them have been shown 59 00:03:45,000 --> 00:03:48,960 Speaker 1: to probably be weather balloons from a physics perspective on 60 00:03:49,000 --> 00:03:51,440 Speaker 1: a couple of videos that have become more and more 61 00:03:51,480 --> 00:03:55,320 Speaker 1: popular over the last couple of days, which is disheartening 62 00:03:55,640 --> 00:03:59,320 Speaker 1: but also good to know. I guess yeah, I mean, 63 00:03:59,360 --> 00:04:03,160 Speaker 1: the ugly true ruth is always more preferable, right, even 64 00:04:03,280 --> 00:04:05,560 Speaker 1: even if it's not as cool as what we wish 65 00:04:05,680 --> 00:04:09,400 Speaker 1: it would be. In short, folks, a lot of stuff 66 00:04:09,440 --> 00:04:12,400 Speaker 1: has happened. This is what we know to be true 67 00:04:12,480 --> 00:04:15,320 Speaker 1: as of today, May fourth. As you said, May the 68 00:04:15,320 --> 00:04:18,200 Speaker 1: fourth be with you as we record this podcast. We're 69 00:04:18,200 --> 00:04:20,200 Speaker 1: going to we're gonna look at some facts. We're gonna 70 00:04:20,240 --> 00:04:23,600 Speaker 1: dive into the multitude of things just off the edge 71 00:04:23,800 --> 00:04:27,880 Speaker 1: of the mainstream media map today. What better or more 72 00:04:28,200 --> 00:04:32,159 Speaker 1: somber way to start today's episode then with the facts. 73 00:04:32,440 --> 00:04:37,680 Speaker 1: So here are the facts about COVID nineteen statistics. We 74 00:04:37,720 --> 00:04:39,920 Speaker 1: did something interesting here, so we've got the most up 75 00:04:39,920 --> 00:04:43,000 Speaker 1: to date estimates right to get a sense of the spread, 76 00:04:43,240 --> 00:04:46,320 Speaker 1: we're gonna give you the numbers from last Friday and 77 00:04:46,400 --> 00:04:50,760 Speaker 1: the numbers from today, May fourth. So what's going on? 78 00:04:51,440 --> 00:04:54,000 Speaker 1: Maybe in the global sense, and then maybe we can 79 00:04:54,040 --> 00:04:56,840 Speaker 1: dive into the US. Yeah, globally, there have been an 80 00:04:56,960 --> 00:05:01,479 Speaker 1: estimated three million, three thousand, two hundred and forty six 81 00:05:01,520 --> 00:05:05,680 Speaker 1: cases of coronavirus across the entire planet um as of 82 00:05:05,720 --> 00:05:09,919 Speaker 1: this past Friday. Today there are three million, six hundred 83 00:05:10,000 --> 00:05:14,160 Speaker 1: twenty eight thousand, eight hundred and fifty one cases. There 84 00:05:14,160 --> 00:05:17,160 Speaker 1: were officially two hundred thirty four thousand, seven hundred to 85 00:05:17,440 --> 00:05:21,440 Speaker 1: deaths on Friday. Now we're looking at two hundred and 86 00:05:21,480 --> 00:05:26,520 Speaker 1: fifty one thousand and nine deaths. Thankfully, there is good 87 00:05:26,560 --> 00:05:31,400 Speaker 1: news here. As a Friday a million, about a million 88 00:05:32,040 --> 00:05:35,159 Speaker 1: and fifty thousand people had recovered as a Friday, and 89 00:05:35,240 --> 00:05:38,560 Speaker 1: today we're looking at around one million, one hundred and 90 00:05:38,560 --> 00:05:42,240 Speaker 1: eighty four thousand people who have reported to have recovered, 91 00:05:42,279 --> 00:05:44,360 Speaker 1: which is really great. Well, it's funny too that that's 92 00:05:44,360 --> 00:05:46,520 Speaker 1: not the number that you see trotted out nearly as 93 00:05:46,600 --> 00:05:48,920 Speaker 1: much as you would think it should be. I mean, 94 00:05:48,960 --> 00:05:51,520 Speaker 1: that really is the silver lining there. That's quite a 95 00:05:51,560 --> 00:05:54,480 Speaker 1: large number of folks that have recovered. Yeah, it's it's 96 00:05:54,600 --> 00:05:58,120 Speaker 1: number that I personally wish would be reported more often. 97 00:05:58,720 --> 00:06:01,240 Speaker 1: It's it's just it doesn't show up in a lot 98 00:06:01,279 --> 00:06:05,280 Speaker 1: of news content here in the US. We see that 99 00:06:05,440 --> 00:06:10,360 Speaker 1: on Friday, this country had an estimated one million, nine thousand, 100 00:06:10,400 --> 00:06:14,159 Speaker 1: three four cases. Now that numbers jumped over the weekend, 101 00:06:14,200 --> 00:06:17,640 Speaker 1: it's more like one million, one hundred eighty four thousand 102 00:06:17,720 --> 00:06:21,479 Speaker 1: and twenty. And the number is just ticking up as 103 00:06:21,520 --> 00:06:26,760 Speaker 1: we record. By Friday, sixty three thousand, eight hundred seventy 104 00:06:26,760 --> 00:06:29,400 Speaker 1: one people had passed away. That number is now jumped 105 00:06:29,480 --> 00:06:33,359 Speaker 1: to sixty nine thousand, two and twenty. I want to 106 00:06:33,400 --> 00:06:35,600 Speaker 1: take just a second here, because we're throwing a lot 107 00:06:35,600 --> 00:06:38,560 Speaker 1: of numbers at you, and those can sound you know, 108 00:06:38,600 --> 00:06:41,360 Speaker 1: you can get number fatigue or get desensitized to it. 109 00:06:41,480 --> 00:06:46,000 Speaker 1: But what we're what we're telling you is that thousands, 110 00:06:46,440 --> 00:06:50,880 Speaker 1: thousands of people died just Saturday and Sunday. I have 111 00:06:50,960 --> 00:06:56,039 Speaker 1: coined a new term, you guys, number numbness. There we go. Yeah, well, 112 00:06:56,360 --> 00:06:58,760 Speaker 1: let's just stay in that numbness just for a moment, 113 00:06:58,800 --> 00:07:01,440 Speaker 1: because I just want to talk about Fulton County and Georgia, 114 00:07:01,440 --> 00:07:04,760 Speaker 1: where our office is located. You know, we're officially open now, 115 00:07:04,800 --> 00:07:08,760 Speaker 1: our our state Georgia is open, and we are seeing 116 00:07:08,880 --> 00:07:13,960 Speaker 1: cases in Fulton County specifically continue to rise and they 117 00:07:14,040 --> 00:07:17,560 Speaker 1: haven't fallen, and we are now open. So I would 118 00:07:17,600 --> 00:07:21,120 Speaker 1: just say the three of us are um feeling a 119 00:07:21,160 --> 00:07:25,120 Speaker 1: little extra cautious now, even even though our state has 120 00:07:25,160 --> 00:07:27,640 Speaker 1: decided to open up, and there are several of the 121 00:07:27,840 --> 00:07:32,760 Speaker 1: other states that have opened up at least partially. Um So, 122 00:07:32,800 --> 00:07:35,640 Speaker 1: even though it seems like that just that concept that 123 00:07:35,880 --> 00:07:38,840 Speaker 1: a state could be thinking about reopening right now makes 124 00:07:38,880 --> 00:07:41,160 Speaker 1: you feel a little better, but the numbers are not 125 00:07:41,240 --> 00:07:45,600 Speaker 1: bearing out uh positivity here well. And you know, one 126 00:07:45,600 --> 00:07:48,240 Speaker 1: thing that I believe we mentioned on the previous episode is, 127 00:07:48,320 --> 00:07:50,840 Speaker 1: you know the idea of quote unquote opening back up 128 00:07:50,880 --> 00:07:54,000 Speaker 1: the economy, thinking about it like a big picture. Sure 129 00:07:54,040 --> 00:07:56,560 Speaker 1: there can be announcements and officially we can be open, 130 00:07:56,560 --> 00:07:58,840 Speaker 1: but it's ultimately up to people and their comfort level 131 00:07:59,040 --> 00:08:02,360 Speaker 1: as to how they deal with that opening up. And 132 00:08:02,400 --> 00:08:05,800 Speaker 1: I was pretty shocked over the weekend in Georgia to 133 00:08:05,920 --> 00:08:09,040 Speaker 1: see that people seem to have taken this announcement by 134 00:08:09,040 --> 00:08:12,040 Speaker 1: our governor as a sign that everything is mainly just 135 00:08:12,120 --> 00:08:15,760 Speaker 1: cool again. I live very close to a big park 136 00:08:16,200 --> 00:08:19,000 Speaker 1: and I walked there, you know, for my daily exercise, 137 00:08:19,040 --> 00:08:21,200 Speaker 1: and and walk there over the weekend and there were 138 00:08:21,280 --> 00:08:24,680 Speaker 1: just tons of groups of people with no masks, just 139 00:08:24,760 --> 00:08:27,240 Speaker 1: hanging out in large numbers. And we're seeing images like 140 00:08:27,280 --> 00:08:29,800 Speaker 1: that rolling in from places like Central Park in New 141 00:08:29,880 --> 00:08:33,280 Speaker 1: York and Brooklyn, you know, and a Prospect Park. And 142 00:08:34,080 --> 00:08:37,600 Speaker 1: I really feel like, while I think many of us 143 00:08:37,640 --> 00:08:40,559 Speaker 1: and and our friends take this kind of stuff with 144 00:08:40,600 --> 00:08:42,280 Speaker 1: a grain of salt, and well, I it's up to 145 00:08:42,320 --> 00:08:44,640 Speaker 1: me whether I decide to you know, go back and 146 00:08:44,679 --> 00:08:47,599 Speaker 1: return to normal or not. I think the very announcement 147 00:08:47,600 --> 00:08:49,960 Speaker 1: of things like this is enough for some people to 148 00:08:50,080 --> 00:08:53,000 Speaker 1: just decide that, Okay, everything's cool again. We don't have 149 00:08:53,080 --> 00:08:55,199 Speaker 1: to social distance anymore. And that couldn't be farther from 150 00:08:55,200 --> 00:08:58,520 Speaker 1: the truth, right. Yeah, At the risk of sounding cold, 151 00:08:59,120 --> 00:09:03,120 Speaker 1: given what we know about that two week time period, 152 00:09:04,200 --> 00:09:06,439 Speaker 1: I think I'm gonna give it another two weeks at least. 153 00:09:06,600 --> 00:09:09,920 Speaker 1: I am not champion at the bit uh to be 154 00:09:10,000 --> 00:09:13,800 Speaker 1: the beta tester here. Uh. And you know, again, like 155 00:09:13,880 --> 00:09:16,640 Speaker 1: to that point about personal responsibility of personal rights, it 156 00:09:16,679 --> 00:09:20,120 Speaker 1: carries on a on a larger on a larger scale 157 00:09:20,120 --> 00:09:25,720 Speaker 1: here because the US has no coherent federal pandemic policy, 158 00:09:26,120 --> 00:09:28,680 Speaker 1: it does go down to the states, and that's I 159 00:09:28,720 --> 00:09:32,400 Speaker 1: think that's that's something that will keep this process happening 160 00:09:32,440 --> 00:09:35,840 Speaker 1: for a while. It's lengthening what we would do, you know, 161 00:09:35,960 --> 00:09:39,720 Speaker 1: as opposed to other countries that have the authority legally 162 00:09:40,120 --> 00:09:46,280 Speaker 1: to lock it down like immediately. This is I don't know, 163 00:09:46,520 --> 00:09:48,640 Speaker 1: this is this is a trade off, you know. Um, 164 00:09:50,160 --> 00:09:52,079 Speaker 1: we will say that there is a good sign though, 165 00:09:52,120 --> 00:09:55,160 Speaker 1: because here in the US, despite these openings, a hundred 166 00:09:55,160 --> 00:09:59,840 Speaker 1: and fifty five thousand, seven thirty seven people had contracted 167 00:10:00,320 --> 00:10:04,079 Speaker 1: COVID nights are contracted coronavirus and recovered as a Friday, 168 00:10:04,120 --> 00:10:08,120 Speaker 1: and today that number has jumped by almost thirty thousand. 169 00:10:08,120 --> 00:10:11,280 Speaker 1: A hundred and eighty one thousand, nine one people today 170 00:10:11,400 --> 00:10:16,040 Speaker 1: are officially recovered. Recent studies from South Korea seem to 171 00:10:16,080 --> 00:10:21,839 Speaker 1: confirm that you cannot recontract this brand of coronavirus after 172 00:10:22,000 --> 00:10:24,240 Speaker 1: you've already had it, which is why people are getting 173 00:10:24,240 --> 00:10:26,959 Speaker 1: the antibody test. But I've been hearing other things though, 174 00:10:26,960 --> 00:10:29,520 Speaker 1: I've I've heard other studies coming out of China saying 175 00:10:29,520 --> 00:10:32,760 Speaker 1: that they've seen cases or people have recontracted it or 176 00:10:32,840 --> 00:10:35,120 Speaker 1: tested negative and then tested positive. Do you think that's 177 00:10:35,120 --> 00:10:38,680 Speaker 1: more a case of false false negatives and then getting 178 00:10:38,720 --> 00:10:40,880 Speaker 1: a new test that that that is more accurate or 179 00:10:41,320 --> 00:10:46,000 Speaker 1: gives you a more accurate result. Yeah, it's likely the 180 00:10:46,000 --> 00:10:50,719 Speaker 1: the efficacy of the Chinese produced testing kits, especially in 181 00:10:50,720 --> 00:10:55,240 Speaker 1: the early days, is not super great. It's not near 182 00:10:55,280 --> 00:10:58,920 Speaker 1: a hundred percent. So there have been multiple countries, uh, 183 00:10:58,960 --> 00:11:03,200 Speaker 1: and institutions can plaining about receiving broken test kits. There 184 00:11:03,280 --> 00:11:06,120 Speaker 1: was one country I can't remember who it was, but 185 00:11:06,200 --> 00:11:08,120 Speaker 1: there was a leader of one country I think of 186 00:11:08,160 --> 00:11:10,839 Speaker 1: the African continent who said the Chinese tests were bad 187 00:11:11,120 --> 00:11:15,719 Speaker 1: because he just just to test the test. He administered 188 00:11:15,760 --> 00:11:18,200 Speaker 1: it to a goat and the goat tested positive for 189 00:11:18,320 --> 00:11:22,640 Speaker 1: COVID nineteen. Uh. Animal lovers, Uh, you'll be glad to 190 00:11:22,679 --> 00:11:25,640 Speaker 1: know the goat is fine. M hmm. Well, it's a 191 00:11:25,679 --> 00:11:30,240 Speaker 1: great point about accuracy there, because the tests and the 192 00:11:30,280 --> 00:11:35,120 Speaker 1: ability to test accurately. That reflects directly in the numbers 193 00:11:35,160 --> 00:11:38,520 Speaker 1: that we just spoke about, right, And there are issues 194 00:11:38,640 --> 00:11:42,200 Speaker 1: with these numbers that we we've talked about already in 195 00:11:42,240 --> 00:11:47,400 Speaker 1: the show. Mm hmm. Yeah. New numbers might arrive even 196 00:11:47,480 --> 00:11:50,640 Speaker 1: as we're recording this, indicating spikes in some countries or 197 00:11:50,720 --> 00:11:54,640 Speaker 1: drops and others, and numbers need to be updated for accuracy. 198 00:11:54,679 --> 00:11:56,360 Speaker 1: And you hit the nail on the head, Matt, that 199 00:11:56,480 --> 00:11:59,679 Speaker 1: is a huge problem. Are these numbers accurate? It depends 200 00:11:59,679 --> 00:12:02,400 Speaker 1: on who you ask. The government of China, and not 201 00:12:02,480 --> 00:12:04,880 Speaker 1: to pick on China too much, this happened in other places, 202 00:12:04,880 --> 00:12:07,360 Speaker 1: but the government of China is currently taking a ton 203 00:12:07,360 --> 00:12:12,320 Speaker 1: of heat internationally because people just don't believe their numbers. 204 00:12:12,520 --> 00:12:16,920 Speaker 1: And you know, it's an understandable skepticism because those numbers 205 00:12:17,000 --> 00:12:20,280 Speaker 1: keep changing. Yeah. Earlier this month, authorities in Wuhan, where 206 00:12:20,360 --> 00:12:24,480 Speaker 1: the pandemic began, revised the death toll of that city 207 00:12:24,520 --> 00:12:28,040 Speaker 1: by more than fifty percent um while the government in 208 00:12:28,080 --> 00:12:32,800 Speaker 1: Beijing has continuously denied that there had been any cover 209 00:12:32,920 --> 00:12:36,080 Speaker 1: ups in their handling of the virus, and the Department 210 00:12:36,080 --> 00:12:40,120 Speaker 1: of Homeland Security is reporting a claim that China covered 211 00:12:40,200 --> 00:12:43,440 Speaker 1: up the severity of the virus from the start in 212 00:12:43,600 --> 00:12:47,599 Speaker 1: order to better look out for their population by hoarding supplies. 213 00:12:48,040 --> 00:12:49,880 Speaker 1: And you know, I mean, in our very first episode 214 00:12:49,880 --> 00:12:53,960 Speaker 1: about this, before it really hit us at home, I 215 00:12:54,000 --> 00:12:56,480 Speaker 1: think it was very clear that there was at the 216 00:12:56,559 --> 00:12:59,800 Speaker 1: very least a minor cover up in the way they 217 00:12:59,840 --> 00:13:04,440 Speaker 1: handled the individual who first reported this virus and threatened 218 00:13:04,559 --> 00:13:08,680 Speaker 1: him with some form of sedition or you know, spread 219 00:13:08,720 --> 00:13:12,000 Speaker 1: rumor mongering. I believe it was. So I think there's 220 00:13:12,000 --> 00:13:15,800 Speaker 1: no question that they definitely were approaching it with some level, 221 00:13:16,040 --> 00:13:19,319 Speaker 1: whether you could say it with skepticism or outright desire 222 00:13:19,360 --> 00:13:22,520 Speaker 1: to cover it up. They certainly didn't jump right on 223 00:13:22,520 --> 00:13:25,960 Speaker 1: it right, Yeah, I agreed. And there are also you know, 224 00:13:26,160 --> 00:13:30,320 Speaker 1: there are so many ways, devious ways to gen these 225 00:13:30,440 --> 00:13:33,200 Speaker 1: numbers up and push them in the direction you want 226 00:13:33,240 --> 00:13:36,720 Speaker 1: them to go, if you want it to seem less extreme, 227 00:13:36,880 --> 00:13:39,160 Speaker 1: or as some have proposed, if you're a government that 228 00:13:39,200 --> 00:13:42,120 Speaker 1: wants it to seem more extreme. Like what counts What 229 00:13:42,160 --> 00:13:45,000 Speaker 1: counts as a COVID death is a death only COVID 230 00:13:45,080 --> 00:13:49,400 Speaker 1: related if the person who died had previously tested positive 231 00:13:49,600 --> 00:13:53,400 Speaker 1: for coronavirus in a in a test administered biomedical professional. 232 00:13:53,840 --> 00:13:57,120 Speaker 1: It's tricky, especially in countries like um, you know a 233 00:13:57,120 --> 00:14:01,199 Speaker 1: lot of Sub Saharan African countries and the US where 234 00:14:01,240 --> 00:14:03,880 Speaker 1: there aren't a lot of tests. They're in short supply. 235 00:14:04,200 --> 00:14:07,600 Speaker 1: We know COVID can cause heart attacks. Uh do you 236 00:14:07,640 --> 00:14:10,559 Speaker 1: know do people who die of a heart attack after 237 00:14:10,640 --> 00:14:14,000 Speaker 1: having contracted coronavirus do they get listed as a COVID 238 00:14:14,040 --> 00:14:16,599 Speaker 1: death or do they get listed as a victim of 239 00:14:16,640 --> 00:14:20,400 Speaker 1: a heart attack, especially if they have you know, problematic uh, 240 00:14:21,040 --> 00:14:26,840 Speaker 1: pre existing conditions, whether it be obesity or sedentary lifestyle 241 00:14:27,040 --> 00:14:30,480 Speaker 1: or any number of of of of factors that can 242 00:14:30,480 --> 00:14:34,800 Speaker 1: contribute to having a heart attack exactly. And and then 243 00:14:34,840 --> 00:14:39,440 Speaker 1: we have to ask about the indirect fallout, which um, 244 00:14:39,480 --> 00:14:42,320 Speaker 1: you know some people aren't thinking about. And what we 245 00:14:42,400 --> 00:14:45,520 Speaker 1: mean by indirect fallout is what happens to people who 246 00:14:45,600 --> 00:14:50,760 Speaker 1: die because something about the pandemic made their life impossible 247 00:14:50,840 --> 00:14:52,600 Speaker 1: or dangerous. Like if you have to your point about 248 00:14:52,840 --> 00:14:56,440 Speaker 1: chronic medical condition, what if you die because your hospital 249 00:14:56,480 --> 00:15:01,360 Speaker 1: infrastructure is overwhelmed and you cannot obtain say insulin or 250 00:15:01,440 --> 00:15:03,600 Speaker 1: something that you need to live. Is that a COVID 251 00:15:03,680 --> 00:15:07,040 Speaker 1: related death? I mean, in this conversation, it sure sounds 252 00:15:07,080 --> 00:15:09,920 Speaker 1: like it is. But they didn't die from COVID. They 253 00:15:10,000 --> 00:15:14,040 Speaker 1: died from UH an overwhelmed system, That's right. Daniel Weinberger, 254 00:15:14,040 --> 00:15:16,880 Speaker 1: who's an associate professor of epidemiology at the Yale School 255 00:15:16,880 --> 00:15:21,000 Speaker 1: of Public Health, commented that quote the assignment of causes 256 00:15:21,000 --> 00:15:23,680 Speaker 1: of death is more of an art than a science 257 00:15:24,080 --> 00:15:26,040 Speaker 1: because it really is sort of in the eye of 258 00:15:26,080 --> 00:15:29,080 Speaker 1: the beholder UH in the same way that the testing 259 00:15:29,240 --> 00:15:31,080 Speaker 1: is and also in the same way that you can 260 00:15:31,120 --> 00:15:36,640 Speaker 1: categorize UH. For example, the way our president is pushing 261 00:15:36,640 --> 00:15:40,240 Speaker 1: the line of well, per capita, our deaths are actually 262 00:15:40,400 --> 00:15:43,200 Speaker 1: pretty good. And he sort of got railed a bit 263 00:15:43,280 --> 00:15:47,240 Speaker 1: because he referred to our death toll as being really strong. 264 00:15:47,480 --> 00:15:49,480 Speaker 1: I believe was the term he used in terms of 265 00:15:49,480 --> 00:15:52,760 Speaker 1: like positivity and spinning it. Because you're right, Ben, I mean, 266 00:15:52,800 --> 00:15:54,880 Speaker 1: there are so many ways to spin this, and with 267 00:15:54,920 --> 00:15:58,240 Speaker 1: so many different numbers and so much change happening so quickly, 268 00:15:58,720 --> 00:16:01,840 Speaker 1: it really is something that and be quite misleading if 269 00:16:01,840 --> 00:16:04,000 Speaker 1: you don't look at the root cause or don't actually 270 00:16:04,040 --> 00:16:08,880 Speaker 1: look at the numbers in a more holistic way. Yeah, 271 00:16:09,080 --> 00:16:14,120 Speaker 1: it goes down to our understanding of something called excess death. 272 00:16:15,000 --> 00:16:17,840 Speaker 1: This is kind of cold, but excess death is a 273 00:16:17,920 --> 00:16:21,320 Speaker 1: term describing the number of deaths in you know, a 274 00:16:21,360 --> 00:16:24,320 Speaker 1: given amount of time that occur in excess of the 275 00:16:24,440 --> 00:16:29,360 Speaker 1: normal established death rate. So researchers over at Yale found 276 00:16:29,440 --> 00:16:33,840 Speaker 1: fifteen thousand, four hundred excess deaths in the US from 277 00:16:33,840 --> 00:16:38,200 Speaker 1: March one through April four. That's the early the early 278 00:16:38,280 --> 00:16:42,680 Speaker 1: stages of coronavirus really kicking into high gear. Uh. During 279 00:16:42,720 --> 00:16:45,680 Speaker 1: that time, only about half that many deaths have been 280 00:16:45,680 --> 00:16:48,360 Speaker 1: attributed to COVID. Then this means, if we can look 281 00:16:48,360 --> 00:16:51,440 Speaker 1: at this, we can trust some of these numbers. The 282 00:16:51,520 --> 00:16:55,920 Speaker 1: death's the death toll that's official is probably much lower 283 00:16:56,560 --> 00:17:00,080 Speaker 1: than what's actually happening. How much higher we don't know, 284 00:17:00,440 --> 00:17:03,720 Speaker 1: and that should scare people, that should that should frighten you. 285 00:17:04,040 --> 00:17:07,880 Speaker 1: The projections also are not set in stone, UH They're 286 00:17:07,920 --> 00:17:10,439 Speaker 1: they're not mandates. Instead, there are a seriously there like 287 00:17:10,480 --> 00:17:14,400 Speaker 1: a decision tree, their fluid branches of if then decisions. 288 00:17:14,800 --> 00:17:20,480 Speaker 1: And we we have to remember that every choice policymaker 289 00:17:20,640 --> 00:17:24,760 Speaker 1: or an institution UH makes during this time is going 290 00:17:24,800 --> 00:17:27,800 Speaker 1: to move the prediction in a different direction. And of course, 291 00:17:28,480 --> 00:17:30,880 Speaker 1: if you've been watching the news in the US or abroad, 292 00:17:31,280 --> 00:17:35,080 Speaker 1: you know that there are quite a few disagreements domestically 293 00:17:35,200 --> 00:17:38,719 Speaker 1: and internationally. Yeah, you've likely seen on the news some 294 00:17:38,840 --> 00:17:42,800 Speaker 1: of the protests that have been occurring. Michigan, I believe, 295 00:17:42,880 --> 00:17:45,919 Speaker 1: is one of the major places that these protests have 296 00:17:45,960 --> 00:17:51,919 Speaker 1: been occurring, but there have been smaller ones across the States. UM. 297 00:17:51,960 --> 00:17:55,159 Speaker 1: A lot of times you will see these reported on 298 00:17:55,240 --> 00:17:58,480 Speaker 1: with a bunch of individuals who are brandishing weapons. Who 299 00:17:58,560 --> 00:18:02,560 Speaker 1: are you know, they air to just protest their inability 300 00:18:02,640 --> 00:18:06,840 Speaker 1: to work. Generally, it has been about getting back to work, 301 00:18:06,920 --> 00:18:10,600 Speaker 1: like open up, like remove these restrictions so that we 302 00:18:10,680 --> 00:18:14,600 Speaker 1: can work. And that is a valid thing, you know that, 303 00:18:14,680 --> 00:18:17,000 Speaker 1: Like we've we've been talking about earlier today about Georgia 304 00:18:17,119 --> 00:18:20,840 Speaker 1: opening up, it's a valid concern for a lot of people. 305 00:18:21,800 --> 00:18:26,040 Speaker 1: But there's also the overall dangers and we're having to 306 00:18:27,359 --> 00:18:30,600 Speaker 1: I mean, we're we're obviously disagreeing at the core about this, 307 00:18:30,960 --> 00:18:34,480 Speaker 1: but we're attempting to find a path I think, or 308 00:18:34,520 --> 00:18:36,040 Speaker 1: at least it feels like we're trying to find a 309 00:18:36,040 --> 00:18:38,520 Speaker 1: path where we're gonna be able to open up more 310 00:18:38,560 --> 00:18:44,120 Speaker 1: of the economy while still staying quarantine to an extent um. 311 00:18:44,160 --> 00:18:45,840 Speaker 1: There's another thing here that we really have to think 312 00:18:45,840 --> 00:18:49,359 Speaker 1: about is if a lot of people cannot pay rent 313 00:18:49,720 --> 00:18:51,919 Speaker 1: and they have no income, they can't pay for bills, 314 00:18:52,240 --> 00:18:55,200 Speaker 1: what do we do. And so far, as we talked 315 00:18:55,200 --> 00:18:58,800 Speaker 1: about in previous episodes, the answer has been give a check, 316 00:18:59,119 --> 00:19:02,760 Speaker 1: you know, for a certain amount of money to each 317 00:19:02,800 --> 00:19:07,320 Speaker 1: individual um. But that's only gonna take you so far. Yeah, yeah, 318 00:19:07,359 --> 00:19:10,040 Speaker 1: because the landlords have to pay rents as well in 319 00:19:10,119 --> 00:19:14,600 Speaker 1: terms of a mortgage right or taxes. And we know 320 00:19:14,720 --> 00:19:18,520 Speaker 1: that other countries, such as our neighbors to the north, Canada, 321 00:19:18,800 --> 00:19:22,600 Speaker 1: have approached the situation much differently. They're they're issuing payments 322 00:19:22,640 --> 00:19:26,000 Speaker 1: to people. UH. I think in some cases, in some 323 00:19:26,080 --> 00:19:30,000 Speaker 1: areas they're instituting rent freezes. But I don't think it's 324 00:19:30,000 --> 00:19:33,360 Speaker 1: a country wide thing. You know, if we look at 325 00:19:33,400 --> 00:19:38,200 Speaker 1: the international sphere, the way I kind of thought about 326 00:19:38,240 --> 00:19:41,840 Speaker 1: this is, UH, China versus everybody and the US is 327 00:19:41,920 --> 00:19:46,520 Speaker 1: sort of a Charlie Day like wildcard from Always Sunny 328 00:19:46,560 --> 00:19:51,159 Speaker 1: in Philadelphia. China is UH, make no mistake taking the 329 00:19:51,200 --> 00:19:56,680 Speaker 1: opportunity presented by covid UH to conspire and expand on 330 00:19:56,760 --> 00:20:01,840 Speaker 1: some longstanding geopolitical goals, and it is getting ugly. There 331 00:20:01,880 --> 00:20:03,880 Speaker 1: was actually there was a report that came out recently 332 00:20:04,240 --> 00:20:08,680 Speaker 1: that was internal. It leaked UH from Chinese intelligence, the 333 00:20:08,720 --> 00:20:13,440 Speaker 1: Ministry of State Security, writing to top Beijing leaders, including 334 00:20:13,480 --> 00:20:17,840 Speaker 1: the President uh Ji Jumping. They said that global anti 335 00:20:17,920 --> 00:20:21,359 Speaker 1: Chinese sentiment is at its highest since the Tianamen Square 336 00:20:21,400 --> 00:20:25,679 Speaker 1: crackdown in nine and they're preparing for everything up to 337 00:20:25,920 --> 00:20:30,080 Speaker 1: and including armed conflict between the US and China. That 338 00:20:30,119 --> 00:20:35,920 Speaker 1: means literally war. They're they're not declaring it, but they're saying, hey, 339 00:20:37,400 --> 00:20:42,440 Speaker 1: heads up, well yeah, and and it wasn't helped by 340 00:20:42,440 --> 00:20:44,440 Speaker 1: are the is the leak to document you're talking about 341 00:20:44,480 --> 00:20:47,920 Speaker 1: the Five Eyes report there, because there was a there 342 00:20:47,960 --> 00:20:52,280 Speaker 1: was a allegedly a leaked five Eyes report that came out, 343 00:20:52,680 --> 00:20:56,640 Speaker 1: essentially confirming some of the beliefs that have been floating 344 00:20:56,680 --> 00:21:02,159 Speaker 1: around out there that that China did take some of 345 00:21:02,200 --> 00:21:05,159 Speaker 1: the actions that it had been accused of previously, of 346 00:21:05,480 --> 00:21:08,399 Speaker 1: kind of covering up the virus that we mentioned, you know, 347 00:21:08,480 --> 00:21:11,920 Speaker 1: earlier in the show. Um it. It certainly didn't help 348 00:21:11,960 --> 00:21:14,080 Speaker 1: that that came out at the time when these tensions 349 00:21:14,080 --> 00:21:17,119 Speaker 1: are continuing to rise, because then it makes you know, 350 00:21:17,160 --> 00:21:20,119 Speaker 1: I'm I'm assuming I don't know about a ton of 351 00:21:20,160 --> 00:21:23,439 Speaker 1: this stuff, but it's going to embolden the United States 352 00:21:23,480 --> 00:21:26,399 Speaker 1: to feel like we're in the right to, uh, you know, 353 00:21:26,560 --> 00:21:30,200 Speaker 1: not only defend ourselves, but to prevent China from taking 354 00:21:30,240 --> 00:21:32,760 Speaker 1: some of these bigger steps that you're talking about. Ben Yep, 355 00:21:33,440 --> 00:21:35,640 Speaker 1: there's a there's another story that hasn't got a lot 356 00:21:35,640 --> 00:21:38,040 Speaker 1: of play here in the US. Uh, you know, we 357 00:21:38,080 --> 00:21:40,320 Speaker 1: don't want to make this myopically about just the U 358 00:21:40,400 --> 00:21:43,160 Speaker 1: S and China. China has also been increasing its attempts 359 00:21:43,200 --> 00:21:46,119 Speaker 1: to influence Australia in a major way, and they're getting 360 00:21:46,160 --> 00:21:50,400 Speaker 1: help from Australia's billionaire mining class. Like there's a guy 361 00:21:50,440 --> 00:21:55,120 Speaker 1: named Andrew Forrest who recently snuck a Chinese official into 362 00:21:55,320 --> 00:21:59,359 Speaker 1: a think of it like a federal level government press 363 00:21:59,400 --> 00:22:04,080 Speaker 1: conference after the Australian government had already declined to speak 364 00:22:04,080 --> 00:22:06,400 Speaker 1: with the guy or have him speak. So it's sort 365 00:22:06,400 --> 00:22:12,760 Speaker 1: of like for a perspective, it's similar to say, um 366 00:22:12,760 --> 00:22:19,120 Speaker 1: Elam Musk or Warren Buffett or someone crashing White House 367 00:22:19,160 --> 00:22:23,040 Speaker 1: press conference and bringing you know, one of their international 368 00:22:23,080 --> 00:22:26,040 Speaker 1: buddies in and saying, hey, can you just can you 369 00:22:26,040 --> 00:22:30,240 Speaker 1: just speak here? I know that you guys aren't super 370 00:22:30,240 --> 00:22:33,560 Speaker 1: great friends with Tehran, but can this diplomat that I 371 00:22:33,640 --> 00:22:37,679 Speaker 1: just brought in speak here? It's it's stunning, uh. And 372 00:22:37,720 --> 00:22:41,439 Speaker 1: he's doing it because of mining interests in agreements he 373 00:22:41,480 --> 00:22:45,480 Speaker 1: has in uh in China. Yeah. Yeah. And just to 374 00:22:45,520 --> 00:22:47,719 Speaker 1: connect it back up to the five Eyes thing as 375 00:22:47,760 --> 00:22:52,479 Speaker 1: a refresher course, five eyes or five intelligence agencies of 376 00:22:52,760 --> 00:22:58,080 Speaker 1: English largely English speaking countries, the United States, Canada, the 377 00:22:58,160 --> 00:23:02,680 Speaker 1: United Kingdom, Um, Australia and New Zealand, and it's all 378 00:23:02,720 --> 00:23:06,480 Speaker 1: of those intelligence agencies working together and they're in Australia. 379 00:23:06,920 --> 00:23:13,600 Speaker 1: It's interesting that that was that was the next thing. Australia. Uh, well, 380 00:23:13,640 --> 00:23:17,200 Speaker 1: we'll see what's going on there. Yeah. And at this point, 381 00:23:17,280 --> 00:23:21,400 Speaker 1: you know, we said the US is a wild card. Honestly, Uh, 382 00:23:21,440 --> 00:23:26,240 Speaker 1: what else is there to say? It's losing massive ground internationally. 383 00:23:26,520 --> 00:23:32,760 Speaker 1: It's policies often seem from the outside looking in self contradictory, disparate, mercurial. Uh. 384 00:23:33,240 --> 00:23:34,880 Speaker 1: And that's because, you know, a lot of states are 385 00:23:34,960 --> 00:23:38,440 Speaker 1: taking their own paths. The line between business and government 386 00:23:38,560 --> 00:23:41,520 Speaker 1: has eroded, and we have to be honest, it is 387 00:23:41,640 --> 00:23:45,720 Speaker 1: difficult to keep track of all the conspiratorial narratives out there. 388 00:23:46,160 --> 00:23:50,320 Speaker 1: They keep growing. Some are more plausible than others. What 389 00:23:50,359 --> 00:23:53,520 Speaker 1: do we mean. We'll tell you afterword from our sponsor. 390 00:24:00,119 --> 00:24:03,960 Speaker 1: Here's where it gets crazy. Let's start with the big 391 00:24:04,000 --> 00:24:12,840 Speaker 1: businesses and billionaires. Oh the devil b oh Bill, Mr Gates, 392 00:24:13,080 --> 00:24:17,960 Speaker 1: big business billionaires and Bill Oh god, quadruple b oh. 393 00:24:18,000 --> 00:24:21,720 Speaker 1: There's too many. Yes, Bill Gates. You may have heard 394 00:24:21,840 --> 00:24:25,280 Speaker 1: quite a few headlines about his foundation, the Bill and 395 00:24:25,320 --> 00:24:28,959 Speaker 1: Melinda Gates Foundation. Yeah. The idea is that they teamed 396 00:24:29,040 --> 00:24:33,480 Speaker 1: up with a you know, with a cadre of fellows, 397 00:24:33,520 --> 00:24:38,040 Speaker 1: super wealthy supervillains, and they ran a simulation back in 398 00:24:38,080 --> 00:24:42,520 Speaker 1: October where they predicted sixty five million deaths due to 399 00:24:42,600 --> 00:24:47,560 Speaker 1: COVID nineteen. Here's the thing that actually happened. There was 400 00:24:47,880 --> 00:24:51,159 Speaker 1: actually an exercise was called Event to oh one. I 401 00:24:51,200 --> 00:24:53,760 Speaker 1: think we mentioned it briefly in a previous episode. It 402 00:24:53,880 --> 00:24:57,440 Speaker 1: was hosted by the Johns Hopkins Center for Health Security, 403 00:24:57,520 --> 00:25:00,639 Speaker 1: and it did focus on emergency prepared witness in the 404 00:25:00,640 --> 00:25:04,240 Speaker 1: event of a severe pandemic, but it did not deal 405 00:25:04,280 --> 00:25:07,080 Speaker 1: with COVID Night Team, and it did not make real 406 00:25:07,160 --> 00:25:11,440 Speaker 1: life predictions about death tolls. It did deal with a coronavirus, 407 00:25:11,520 --> 00:25:14,560 Speaker 1: but not this kind because as we said earlier, uh, 408 00:25:14,600 --> 00:25:17,400 Speaker 1: there there are multiple kinds of coronavirus, just like there 409 00:25:17,400 --> 00:25:22,200 Speaker 1: are multiple um genres of music with drums, multiple kinds 410 00:25:22,200 --> 00:25:27,239 Speaker 1: of cancer, multiple flavors of ice cream. Yeah. Yeah, And 411 00:25:27,640 --> 00:25:29,760 Speaker 1: just so you know, if you want to delve deep 412 00:25:29,800 --> 00:25:33,119 Speaker 1: into this, you can just use quotations in your search 413 00:25:33,320 --> 00:25:37,280 Speaker 1: and do event to zero one and you'll find all 414 00:25:37,359 --> 00:25:39,480 Speaker 1: kinds of stuff. There's you know, you can see the 415 00:25:39,480 --> 00:25:43,640 Speaker 1: official documents, the the results, the videos that are put 416 00:25:43,720 --> 00:25:48,119 Speaker 1: out there, people speaking about it. Um it is. It 417 00:25:48,160 --> 00:25:51,879 Speaker 1: does feel very creepy, especially if you've been watching this 418 00:25:51,960 --> 00:25:56,960 Speaker 1: season of Westworld with that giant computer simulation that runs 419 00:25:56,960 --> 00:26:01,560 Speaker 1: the entire planet UM, it feels like, hey, maybe maybe 420 00:26:01,560 --> 00:26:06,640 Speaker 1: Bill and Melinda have access to some giant simulated machine 421 00:26:06,720 --> 00:26:09,840 Speaker 1: that's gonna eventually tell each human what their life cycle 422 00:26:09,920 --> 00:26:12,760 Speaker 1: is going to be. If anyone has it, it's them, though, 423 00:26:12,840 --> 00:26:15,760 Speaker 1: I mean I would say, well, unless it's our next 424 00:26:16,720 --> 00:26:22,080 Speaker 1: set of happy billionaires, the Koke Brothers. So the idea 425 00:26:22,160 --> 00:26:25,720 Speaker 1: here is that the Koke Brothers UH and similar super 426 00:26:26,000 --> 00:26:33,520 Speaker 1: hard right wing um neo feudalists are financing the protests 427 00:26:33,600 --> 00:26:35,800 Speaker 1: that we've been seeing. What what do you call that 428 00:26:36,160 --> 00:26:39,200 Speaker 1: when you call crisis actors of some kind or we're like, 429 00:26:39,200 --> 00:26:42,359 Speaker 1: like not sock puppets. That's exclusively online. But it is 430 00:26:42,400 --> 00:26:45,560 Speaker 1: the idea that there is in some way financing this 431 00:26:46,080 --> 00:26:50,320 Speaker 1: UH to create kind of a a bit of a 432 00:26:50,400 --> 00:26:55,600 Speaker 1: push so that their pals and the corporations they have 433 00:26:55,760 --> 00:27:00,440 Speaker 1: staken don't suffer further economic catastrophe because of this endemic. 434 00:27:00,840 --> 00:27:03,600 Speaker 1: And there has been a lot of catastrophe going around 435 00:27:03,840 --> 00:27:06,840 Speaker 1: in the business world, and make no mistake there. I 436 00:27:06,840 --> 00:27:08,399 Speaker 1: don't know if you guys saw the news about J 437 00:27:08,560 --> 00:27:11,040 Speaker 1: Crew that just came out that they're going to be 438 00:27:11,560 --> 00:27:14,720 Speaker 1: going in there. They filed Chapter eleven bankrupts. You didn't 439 00:27:14,760 --> 00:27:17,480 Speaker 1: see that, Yeah, and made Well it's one of the 440 00:27:17,640 --> 00:27:19,800 Speaker 1: one of their brands. But yeah, they're going to be 441 00:27:19,840 --> 00:27:22,879 Speaker 1: closing a ton of stores. And you know that's just 442 00:27:22,960 --> 00:27:27,120 Speaker 1: one company, one clothing retailer, and that's gonna be happen 443 00:27:27,119 --> 00:27:29,400 Speaker 1: a lot more in the near future. Yeah, the only 444 00:27:29,480 --> 00:27:35,040 Speaker 1: question is how extreme that trends will become. This is interesting. 445 00:27:35,160 --> 00:27:39,439 Speaker 1: So are they protest puppet masters? It's true that a 446 00:27:39,520 --> 00:27:42,040 Speaker 1: lot of the well, it's true that I would say 447 00:27:42,040 --> 00:27:46,480 Speaker 1: the majority of those protests are reopened are you know, 448 00:27:46,560 --> 00:27:50,560 Speaker 1: are purposely designed to appear as though they are grassroots, 449 00:27:50,960 --> 00:27:53,399 Speaker 1: and the question is whether they're being astro turf. There 450 00:27:53,400 --> 00:27:55,439 Speaker 1: were a couple of people on Reddit who did some 451 00:27:55,480 --> 00:28:01,920 Speaker 1: fantastic research into the powers behind the front organizations right 452 00:28:02,080 --> 00:28:06,920 Speaker 1: Open Michigan, Open Maryland. Uh. So, you know, it's understandable 453 00:28:07,000 --> 00:28:11,119 Speaker 1: that people might think the Koch brothers are behind this. Again, 454 00:28:11,440 --> 00:28:14,520 Speaker 1: remember they they ran point on the Tea Party protest 455 00:28:14,600 --> 00:28:18,040 Speaker 1: that back in oh nine in but this one actually 456 00:28:18,080 --> 00:28:22,119 Speaker 1: seems to be not true. Their main political arm for 457 00:28:22,160 --> 00:28:26,120 Speaker 1: the Koch Brothers is an organization called Americans for prosperity, 458 00:28:26,600 --> 00:28:30,760 Speaker 1: beautiful name right, chef's kiss. Uh. They rejected the in 459 00:28:30,920 --> 00:28:37,200 Speaker 1: person protest, they said. Their CEO specifically said, the question 460 00:28:37,280 --> 00:28:38,920 Speaker 1: is what is the best way to get people back 461 00:28:39,000 --> 00:28:41,000 Speaker 1: to work. We don't see protests is the best way 462 00:28:41,000 --> 00:28:43,080 Speaker 1: to do that. She went on to say the choice 463 00:28:43,120 --> 00:28:47,560 Speaker 1: between full shutdown and immediately opening everything is a false choice. 464 00:28:47,960 --> 00:28:50,960 Speaker 1: So they didn't actually, you know a lot of times 465 00:28:50,960 --> 00:28:54,280 Speaker 1: they get rightly vilified, but they didn't actually do this one. 466 00:28:54,640 --> 00:28:58,000 Speaker 1: Someone else did and we found out who. Yeah, and 467 00:28:58,120 --> 00:29:04,800 Speaker 1: it can apparently be traced back to Betsy DeVos UM, 468 00:29:04,920 --> 00:29:08,000 Speaker 1: So don't be fooled by the slightly different names. Here. 469 00:29:08,040 --> 00:29:12,680 Speaker 1: We've got Indiana Citizens Against Excessive Quarantine, and then we 470 00:29:12,720 --> 00:29:17,120 Speaker 1: also have Operation Gridlock Tennessee and other groups that are 471 00:29:17,240 --> 00:29:22,520 Speaker 1: bankrolled by powerful people. Um. They are the opposite of grassroots. 472 00:29:23,000 --> 00:29:26,719 Speaker 1: The Michigan Freedom Fund UM was founded by Greg McNeely, 473 00:29:27,040 --> 00:29:31,200 Speaker 1: a political advisor to the Divos family UM, who has 474 00:29:31,240 --> 00:29:35,560 Speaker 1: provided financial support to that organization. But that you know, 475 00:29:35,920 --> 00:29:37,600 Speaker 1: but this is one of those things where it doesn't 476 00:29:37,640 --> 00:29:41,760 Speaker 1: mean Betsy Divos did it right, It just means there 477 00:29:41,760 --> 00:29:46,280 Speaker 1: are connections there. Just pointing that out, remember that, Yeah, Yeah, 478 00:29:46,440 --> 00:29:50,360 Speaker 1: you're being fair, uh that that is true, but it 479 00:29:50,440 --> 00:29:54,800 Speaker 1: does appear to be some astroturfing. There is a possibility 480 00:29:54,840 --> 00:29:58,720 Speaker 1: that some of those protesters are in fact paid to protests. 481 00:29:58,760 --> 00:30:02,520 Speaker 1: So it's a dig in more um. But don't don't 482 00:30:02,600 --> 00:30:06,440 Speaker 1: let the easy headlines fool you, especially when there are 483 00:30:06,640 --> 00:30:10,080 Speaker 1: frankly other things to worry about. I'm not saying they're worse, 484 00:30:10,360 --> 00:30:12,600 Speaker 1: but I'm saying the protests are not the only thing 485 00:30:12,640 --> 00:30:15,480 Speaker 1: going on. Let's talk about tech companies, you guys. Let's 486 00:30:15,480 --> 00:30:19,880 Speaker 1: talk about surveillance. Let's talk about tracking apps. They're blowing 487 00:30:19,960 --> 00:30:23,040 Speaker 1: up in countries around the world, and I would say 488 00:30:23,080 --> 00:30:28,040 Speaker 1: there is a genuine I don't I don't know the 489 00:30:28,160 --> 00:30:31,880 Speaker 1: correct wording here, but there is good reason to want 490 00:30:31,920 --> 00:30:36,360 Speaker 1: to have tracking apps when you're inside a pandemic. There 491 00:30:36,400 --> 00:30:38,960 Speaker 1: there is a genuinely good reason to have that because 492 00:30:38,960 --> 00:30:41,800 Speaker 1: you want to see or to be able to predict 493 00:30:42,080 --> 00:30:45,160 Speaker 1: whether or not someone is at risk of spreading the 494 00:30:45,280 --> 00:30:47,640 Speaker 1: virus to someone else, or whether or not the individual 495 00:30:48,200 --> 00:30:50,960 Speaker 1: is going to be, you know, at risk of getting it. 496 00:30:51,080 --> 00:30:54,040 Speaker 1: What they're calling contact tracing, right, Like that's like like 497 00:30:54,080 --> 00:30:56,960 Speaker 1: the big, you know thing that's going to have really 498 00:30:57,000 --> 00:30:59,760 Speaker 1: help stem the tide of this, uh, this this disease 499 00:31:00,200 --> 00:31:04,040 Speaker 1: is being able to somehow systematically figure out exactly who's 500 00:31:04,080 --> 00:31:07,160 Speaker 1: been in contact with whom and then trace that back 501 00:31:07,200 --> 00:31:10,240 Speaker 1: to the source and then you know, institute proper testing. 502 00:31:10,440 --> 00:31:12,680 Speaker 1: That's really the only way to kind of get a 503 00:31:12,720 --> 00:31:16,040 Speaker 1: handle on this. Yeah, the motivation is smart. It's something 504 00:31:16,080 --> 00:31:20,120 Speaker 1: that probably should be done. The problem is, in our 505 00:31:20,240 --> 00:31:23,640 Speaker 1: world of big data, all of this stuff just becomes 506 00:31:23,720 --> 00:31:28,320 Speaker 1: another data set, uh, to to track people, to control 507 00:31:28,560 --> 00:31:31,560 Speaker 1: in a certain way, or the at least to have 508 00:31:31,720 --> 00:31:34,959 Speaker 1: the information about the individual and then apply it to 509 00:31:35,040 --> 00:31:38,080 Speaker 1: massive groups and and you know, continue going upwards. It's 510 00:31:38,120 --> 00:31:40,920 Speaker 1: one of these things we said, Um, whatever the intentions 511 00:31:40,920 --> 00:31:44,719 Speaker 1: behind these things are, once you let the badger out 512 00:31:44,760 --> 00:31:47,040 Speaker 1: of the bag, it's really hard to put it back in, 513 00:31:47,560 --> 00:31:51,120 Speaker 1: even when conditions get better. So what happens post Corona 514 00:31:51,320 --> 00:31:54,960 Speaker 1: once these things have been put into place? Yeah, yeah, 515 00:31:54,960 --> 00:31:58,520 Speaker 1: it's an excellent question. Let's go country by country. Talked 516 00:31:58,520 --> 00:32:00,440 Speaker 1: about in this past, but we have more detail else now. 517 00:32:01,080 --> 00:32:05,040 Speaker 1: So a lot of our fellow listeners in Australia have 518 00:32:05,120 --> 00:32:09,000 Speaker 1: written in thank you so much to talk about something 519 00:32:09,200 --> 00:32:12,920 Speaker 1: called COVID Safe. It's an app and it uses bluetooth 520 00:32:13,280 --> 00:32:16,440 Speaker 1: to record, uh, you know, to keep a record rather 521 00:32:16,640 --> 00:32:19,080 Speaker 1: of other people with the app who have been in 522 00:32:19,120 --> 00:32:22,480 Speaker 1: close proximity to you or your phone within the past 523 00:32:22,520 --> 00:32:25,880 Speaker 1: twenty one days. It's modeled on a Singapore's earlier app. 524 00:32:26,360 --> 00:32:29,600 Speaker 1: The info remains on the phone until the user, who 525 00:32:29,800 --> 00:32:33,280 Speaker 1: until a user test positive for COVID, decides to upload it, 526 00:32:33,520 --> 00:32:37,440 Speaker 1: and then that information is used to trace the contacts 527 00:32:37,480 --> 00:32:43,040 Speaker 1: of that infected person. It collects a lot of data. 528 00:32:43,320 --> 00:32:47,040 Speaker 1: The government says that only state health officials will have 529 00:32:47,200 --> 00:32:53,240 Speaker 1: access to it. But uh, you know that there's so 530 00:32:53,520 --> 00:32:56,360 Speaker 1: what does that mean? You know what I mean, there's 531 00:32:56,400 --> 00:32:59,320 Speaker 1: no time limit. Just as a fun aside here, we 532 00:32:59,480 --> 00:33:02,480 Speaker 1: we had a listener from down under a right to 533 00:33:02,600 --> 00:33:07,520 Speaker 1: us and whenever you sign up for this service, COVID Safe, 534 00:33:07,760 --> 00:33:11,440 Speaker 1: you get a specialized pin It was like a pin number, 535 00:33:11,800 --> 00:33:15,240 Speaker 1: and the pin number that he was assigned was six 536 00:33:15,280 --> 00:33:18,720 Speaker 1: six six zero zero one. And he found that to 537 00:33:18,760 --> 00:33:24,400 Speaker 1: be amusing. Uh. Yeah, and yeah, and so let's go. 538 00:33:24,840 --> 00:33:29,920 Speaker 1: We mentioned Singapore, right, Uh, Singapore's app is the basis 539 00:33:29,960 --> 00:33:33,560 Speaker 1: for the Australia app. Uh. This one had about of 540 00:33:33,600 --> 00:33:37,240 Speaker 1: the population and Singapore started using it since Uh, it's 541 00:33:37,440 --> 00:33:42,760 Speaker 1: launch in April. But the issue here is one of 542 00:33:43,120 --> 00:33:46,960 Speaker 1: not just privacy but efficacy because the number of coronavirus 543 00:33:47,000 --> 00:33:49,760 Speaker 1: cases during that time shot up from one thousand to 544 00:33:49,800 --> 00:33:53,320 Speaker 1: more than sixteen thousand. So it's still a good diagnostic tool, 545 00:33:53,440 --> 00:33:56,360 Speaker 1: it's just the question is how effective is it at 546 00:33:56,520 --> 00:34:00,440 Speaker 1: stopping COVID. And then you have New Zealand, UM and 547 00:34:00,520 --> 00:34:03,960 Speaker 1: as that country comes out of it's hard lockdown, it's 548 00:34:04,000 --> 00:34:07,520 Speaker 1: also going to launch a contact tracing app, but it's uh, 549 00:34:07,640 --> 00:34:09,879 Speaker 1: the details are a little scarce, so we're not quite 550 00:34:09,880 --> 00:34:12,120 Speaker 1: clear on how that's going to work. Radio New Zealand 551 00:34:12,360 --> 00:34:15,600 Speaker 1: has reported that it will update people's details with the 552 00:34:15,640 --> 00:34:20,080 Speaker 1: Department of Health so they can be contacted directly, but 553 00:34:20,120 --> 00:34:22,200 Speaker 1: beyond that, very little is known of the stage and 554 00:34:22,200 --> 00:34:24,719 Speaker 1: and just to piggyback off of that really quickly, even 555 00:34:24,800 --> 00:34:29,080 Speaker 1: here in Georgia, uh, the Department of Health is doing 556 00:34:29,400 --> 00:34:33,359 Speaker 1: a an outreach kind of situation where they're going door 557 00:34:33,360 --> 00:34:37,160 Speaker 1: to door and UM offering uh that uh what is 558 00:34:37,200 --> 00:34:41,000 Speaker 1: it called the h antibody tests so people can see 559 00:34:41,239 --> 00:34:44,239 Speaker 1: if they have contracted it. But obviously those it takes 560 00:34:44,239 --> 00:34:46,280 Speaker 1: a long time to do that kind of outreach because 561 00:34:47,080 --> 00:34:51,000 Speaker 1: it's very hands on very one on one just just 562 00:34:51,040 --> 00:34:53,120 Speaker 1: to take it back to New Zealand really quickly. This 563 00:34:53,239 --> 00:34:57,719 Speaker 1: is one of the first countries to declare that they 564 00:34:57,760 --> 00:35:03,600 Speaker 1: eradicated coronavirus within within their country's boundaries. That was a 565 00:35:03,600 --> 00:35:06,160 Speaker 1: little They made that announcement I think on the thirtieth 566 00:35:06,320 --> 00:35:08,719 Speaker 1: of April, but then it was found that there were 567 00:35:08,760 --> 00:35:12,440 Speaker 1: several cases that actually arose after they made that announcement. 568 00:35:12,719 --> 00:35:15,520 Speaker 1: But it is one of the first places where the 569 00:35:15,600 --> 00:35:20,200 Speaker 1: heavy restrictions on travel with like to New Zealand as 570 00:35:20,280 --> 00:35:23,720 Speaker 1: well as away from New Zealand. It really did seem 571 00:35:23,800 --> 00:35:28,799 Speaker 1: to stop the virus in its tracks pretty well, like 572 00:35:28,920 --> 00:35:33,920 Speaker 1: Madagascar in pandemic, but also in New Zealand. Isn't like 573 00:35:34,040 --> 00:35:37,560 Speaker 1: a super densely populated country. I mean, I think we 574 00:35:37,640 --> 00:35:40,360 Speaker 1: said like in a previous no, it was a ridiculous 575 00:35:40,400 --> 00:35:44,200 Speaker 1: history episode. We were talking about exploding pants because of 576 00:35:44,600 --> 00:35:47,000 Speaker 1: a chemical that was used to eradicate a type of 577 00:35:47,360 --> 00:35:52,280 Speaker 1: weed that was killing off grass that cows would feed on. Um. 578 00:35:52,440 --> 00:35:56,239 Speaker 1: The number of sheep I think out number humans in 579 00:35:56,360 --> 00:35:59,560 Speaker 1: New Zealand. Yeah, it's about six to one. Is the 580 00:35:59,640 --> 00:36:02,520 Speaker 1: number gets thrown around. Uh, but they have a ton 581 00:36:02,560 --> 00:36:06,960 Speaker 1: of people coming in through that country. But to your appointment, Matt, 582 00:36:07,239 --> 00:36:10,040 Speaker 1: that obviously was a smart move for them to institute 583 00:36:10,080 --> 00:36:13,520 Speaker 1: that so quickly and effectively that a travel man. One 584 00:36:13,600 --> 00:36:17,640 Speaker 1: of the things that you might you need to know, 585 00:36:18,000 --> 00:36:23,799 Speaker 1: fellow listeners is this New Zealand also is currently harboring 586 00:36:23,960 --> 00:36:27,919 Speaker 1: a lot of people have gotten in on Golden ticket passports. 587 00:36:28,160 --> 00:36:31,799 Speaker 1: That's where you get citizenship just based on an investment 588 00:36:31,960 --> 00:36:35,080 Speaker 1: that you make and you're you're essentially you're buying citizenship. 589 00:36:35,360 --> 00:36:37,400 Speaker 1: And right before this hit, as it was hitting, some 590 00:36:37,440 --> 00:36:39,680 Speaker 1: of the people who were in the know ducked off 591 00:36:39,680 --> 00:36:43,000 Speaker 1: to New Zealand where they already lived on property that 592 00:36:43,040 --> 00:36:46,640 Speaker 1: they have bought um months or years ago, specifically for 593 00:36:46,719 --> 00:36:50,760 Speaker 1: its isolation and it's potable water. Neil Gaiman is uh 594 00:36:50,920 --> 00:36:53,359 Speaker 1: is currently in New Zealand, but I think he just 595 00:36:53,400 --> 00:36:58,360 Speaker 1: got caught there, uh, you know, with bad luck. But 596 00:36:58,480 --> 00:37:01,080 Speaker 1: Neil's fine, And I don't think he was part of 597 00:37:01,120 --> 00:37:06,799 Speaker 1: the billionaire elite escape plan uh than most of us yea, 598 00:37:07,120 --> 00:37:10,000 Speaker 1: or is he? Because you know, one thing New Zealand 599 00:37:10,080 --> 00:37:14,800 Speaker 1: can't do is uh stock is change its proximity to China. 600 00:37:15,400 --> 00:37:19,000 Speaker 1: China is probably the most solid example of how extreme 601 00:37:19,080 --> 00:37:22,359 Speaker 1: these apps can be and they can become this way, 602 00:37:22,520 --> 00:37:25,279 Speaker 1: it's the hardcore one. This app is mandatory. It is 603 00:37:25,360 --> 00:37:28,160 Speaker 1: tied to your I D. It governs where you can 604 00:37:28,320 --> 00:37:32,120 Speaker 1: go through QR scanners and A and a color system. 605 00:37:32,360 --> 00:37:35,440 Speaker 1: If you're clear, you're green. If you're yellow or amber, 606 00:37:35,680 --> 00:37:38,359 Speaker 1: you need to isolate. If you're red, you've either been 607 00:37:38,400 --> 00:37:41,680 Speaker 1: confirmed positive or you've been in close contact with someone 608 00:37:41,920 --> 00:37:44,920 Speaker 1: who has tested positive. So that means that unless you 609 00:37:44,960 --> 00:37:49,239 Speaker 1: stay inside all of the time, you could turn red 610 00:37:49,360 --> 00:37:51,520 Speaker 1: at any time. And you need this app by the 611 00:37:51,520 --> 00:37:55,120 Speaker 1: way to travel anywhere you needed to get into venues. Uh. 612 00:37:55,160 --> 00:37:59,759 Speaker 1: And now those restrictions are starting to ease, But that 613 00:38:00,080 --> 00:38:03,640 Speaker 1: is real black mirror stuff. It's happening now that this 614 00:38:03,680 --> 00:38:06,560 Speaker 1: can happen. It's not Blade Runner. People can do this 615 00:38:06,640 --> 00:38:09,880 Speaker 1: to you now, Ben. Do you think the infrastructure of 616 00:38:09,960 --> 00:38:14,160 Speaker 1: this was in some ways helped by the Sesame credit 617 00:38:14,360 --> 00:38:18,600 Speaker 1: situation that was sort of being tested. Yeah, that's a 618 00:38:19,280 --> 00:38:22,600 Speaker 1: that's a great question. I I assume that they have 619 00:38:22,719 --> 00:38:25,840 Speaker 1: some of the same architecture they would have to uh, 620 00:38:26,000 --> 00:38:28,640 Speaker 1: and it stems from some of the some of the 621 00:38:28,680 --> 00:38:34,080 Speaker 1: same ideology and goals. Definitely. Um. Yes, Sesame credit still 622 00:38:34,080 --> 00:38:36,200 Speaker 1: in full effect. That's a very good point. And I 623 00:38:36,200 --> 00:38:38,399 Speaker 1: will say this is a hot take, and I'm half 624 00:38:38,480 --> 00:38:41,040 Speaker 1: joking when I say this, but I can't think of 625 00:38:41,080 --> 00:38:45,720 Speaker 1: another situation than this that has had more uh net 626 00:38:45,760 --> 00:38:50,920 Speaker 1: positives from being a totalitarian government because they can actually 627 00:38:51,040 --> 00:38:54,080 Speaker 1: force you to behave and force you to do what's 628 00:38:54,120 --> 00:38:57,640 Speaker 1: best for uh the masses as opposed to the individuals 629 00:38:57,880 --> 00:38:59,960 Speaker 1: like we're seeing with all the people just coming out 630 00:39:00,040 --> 00:39:03,160 Speaker 1: on mass based on the concept of opening back up 631 00:39:03,200 --> 00:39:07,880 Speaker 1: the economy. I would just say, there's there's less manipulation 632 00:39:08,040 --> 00:39:11,239 Speaker 1: required and you can be a little more straightforward when 633 00:39:11,280 --> 00:39:14,960 Speaker 1: you're authoritarian. Yeah, you don't have to worry about the 634 00:39:15,000 --> 00:39:18,480 Speaker 1: Overton window. You don't have to uh you know, have 635 00:39:18,640 --> 00:39:24,719 Speaker 1: offline conversations with your pals in the media. India, France, Israel, Germany, 636 00:39:24,880 --> 00:39:30,520 Speaker 1: the United Kingdom, uh South Korea. Everybody has either instituted 637 00:39:30,520 --> 00:39:33,160 Speaker 1: a system like this or they're planning to do so. 638 00:39:33,840 --> 00:39:38,520 Speaker 1: Israel's having some difficulties because of the privacy concerns. Now, 639 00:39:38,600 --> 00:39:41,680 Speaker 1: we've talked a lot about these tracking apps and other countries, 640 00:39:41,960 --> 00:39:45,840 Speaker 1: but what about the good old United States? Apple Pie, 641 00:39:46,360 --> 00:39:51,839 Speaker 1: bald Eagles freedom in all caps, underlined, highlighted, a couple 642 00:39:51,880 --> 00:39:54,759 Speaker 1: of exclamation marks to really make it pop. We'll tell 643 00:39:54,800 --> 00:40:03,960 Speaker 1: you after a word from our sponsor. Okay, Now, to 644 00:40:04,000 --> 00:40:07,040 Speaker 1: be fair, we aren't just talking about the U s here. 645 00:40:07,560 --> 00:40:12,399 Speaker 1: What we're about to discuss are It's really a baseline 646 00:40:13,000 --> 00:40:15,760 Speaker 1: version of an app that will be instituted or can 647 00:40:15,960 --> 00:40:20,680 Speaker 1: be instituted in any country that chooses to adapt it. 648 00:40:20,760 --> 00:40:24,600 Speaker 1: So let's let's jump to on April tenth, when Apple 649 00:40:24,640 --> 00:40:26,680 Speaker 1: and Google announced that they were going to be working 650 00:40:26,719 --> 00:40:30,279 Speaker 1: together and using the smart the smartphone tech for you know, 651 00:40:30,360 --> 00:40:34,600 Speaker 1: both Apple iPhones iOS stuff as well as Android operated 652 00:40:34,640 --> 00:40:38,640 Speaker 1: phones to help track COVID and the spread of COVID 653 00:40:38,680 --> 00:40:41,520 Speaker 1: in the same way we've been discussing before. Just like 654 00:40:41,719 --> 00:40:44,239 Speaker 1: the one, the first one that we talked about in Australia, 655 00:40:44,360 --> 00:40:47,600 Speaker 1: COVID Safe, this version is going to use Bluetooth or 656 00:40:48,000 --> 00:40:51,520 Speaker 1: the Bluetooth four point oh low energy. Um, they're gonna 657 00:40:51,600 --> 00:40:54,520 Speaker 1: use that tech to keep track of mobile phones and 658 00:40:54,600 --> 00:40:58,359 Speaker 1: proximity just which phones come into close contact with each other. 659 00:40:58,800 --> 00:41:02,560 Speaker 1: And that's really all you're talking about here. That's everything 660 00:41:02,600 --> 00:41:04,960 Speaker 1: that this app is meant to do. Is this an 661 00:41:05,000 --> 00:41:08,719 Speaker 1: advancement of the website that Google was supposedly working on that. 662 00:41:08,760 --> 00:41:13,160 Speaker 1: Trump kind of prematurely announced early on saying that developers 663 00:41:13,160 --> 00:41:16,120 Speaker 1: at Google were hard at work creating some kind of database, 664 00:41:16,200 --> 00:41:19,880 Speaker 1: and then turned out that they barely had begun work 665 00:41:19,920 --> 00:41:22,040 Speaker 1: and it wasn't really as much of a thing as 666 00:41:22,080 --> 00:41:23,279 Speaker 1: he may be made it out to be. As this 667 00:41:23,280 --> 00:41:26,640 Speaker 1: sort of the next gen of that announcement, this is 668 00:41:26,680 --> 00:41:30,719 Speaker 1: an evolution of of that. Yes, correct Early on it was, 669 00:41:31,280 --> 00:41:32,960 Speaker 1: you know, people were touting that it was going to 670 00:41:33,080 --> 00:41:37,880 Speaker 1: use GPS technology to trace, to actually trace where people 671 00:41:37,920 --> 00:41:41,480 Speaker 1: were going once they've you know, contracted COVID nineteen. As 672 00:41:41,520 --> 00:41:44,960 Speaker 1: of right now, as of today on May four, the 673 00:41:45,000 --> 00:41:47,880 Speaker 1: official word is that it's just going to be using 674 00:41:48,239 --> 00:41:52,000 Speaker 1: bluetooth data in proximity and it won't be collecting GPS 675 00:41:52,120 --> 00:41:57,120 Speaker 1: data or location services data much less of real time. Yeah, 676 00:41:57,239 --> 00:42:00,360 Speaker 1: so this has brought up these grave can turn So, 677 00:42:00,719 --> 00:42:02,399 Speaker 1: I mean, here's how it works, right, It keeps track 678 00:42:02,440 --> 00:42:03,959 Speaker 1: of who you know, and then let's say you test 679 00:42:04,000 --> 00:42:07,360 Speaker 1: positive for COVID nineteen, and then it uses that information 680 00:42:07,400 --> 00:42:10,560 Speaker 1: to go back and tell everybody that you plausibly could 681 00:42:10,600 --> 00:42:13,000 Speaker 1: have run into and then also helps to try to 682 00:42:13,040 --> 00:42:16,680 Speaker 1: trace when you may have contracted it. And how. But 683 00:42:16,880 --> 00:42:19,520 Speaker 1: as you can imagine, not everybody is happy with this. 684 00:42:19,680 --> 00:42:23,200 Speaker 1: The two big questions how effective will this actually be? 685 00:42:23,600 --> 00:42:28,160 Speaker 1: And then secondly, how does it affect what's left of privacy? Yeah. 686 00:42:28,280 --> 00:42:31,280 Speaker 1: Jennifer Grantick from the A c l U, who heads 687 00:42:31,360 --> 00:42:36,000 Speaker 1: up their surveillance and cybersecurity program, notes that contact tracing 688 00:42:36,400 --> 00:42:38,560 Speaker 1: is only one piece of the puzzle, which which I 689 00:42:38,560 --> 00:42:41,400 Speaker 1: think is fair, saying that it can't be fully effective 690 00:42:41,560 --> 00:42:45,960 Speaker 1: quote until there is widespread, free and quick testing and 691 00:42:46,120 --> 00:42:50,760 Speaker 1: equitable access to healthcare. I think the that healthcare piece 692 00:42:50,800 --> 00:42:55,080 Speaker 1: has been something that really has been highlighted by this pandemic. 693 00:42:55,360 --> 00:42:59,440 Speaker 1: How disparate, Uh, the availability of healthcare is depending on 694 00:42:59,480 --> 00:43:02,000 Speaker 1: who you are and who you work for and the 695 00:43:02,040 --> 00:43:05,360 Speaker 1: economic strata that you find yourself in. Uh, it's really 696 00:43:05,800 --> 00:43:08,960 Speaker 1: pointed a glaring finger. Can a finger be glaring? I 697 00:43:09,000 --> 00:43:11,480 Speaker 1: don't know, but just at that problem in our country, 698 00:43:11,600 --> 00:43:15,360 Speaker 1: there really is no Uh. I'm I was about to 699 00:43:15,400 --> 00:43:18,080 Speaker 1: say universal healthcare, which is true, but there really is 700 00:43:18,120 --> 00:43:21,440 Speaker 1: no equitable access to healthcare in this country. I can 701 00:43:21,600 --> 00:43:25,000 Speaker 1: I don't think anyone would argue with that too hard. No, 702 00:43:25,080 --> 00:43:29,120 Speaker 1: absolutely not. I mean, that's a reality. It's here. Let's 703 00:43:29,160 --> 00:43:31,719 Speaker 1: look at how this will roll out, despite the fact that, 704 00:43:32,280 --> 00:43:35,319 Speaker 1: to Jennifer Grant's point, the US does not have the 705 00:43:35,360 --> 00:43:38,880 Speaker 1: infrastructure to get the most use out of this. Companies 706 00:43:39,000 --> 00:43:41,040 Speaker 1: Google and Apple are planning to roll this out in 707 00:43:41,080 --> 00:43:45,200 Speaker 1: two phases. First, they're releasing software this month to let 708 00:43:45,239 --> 00:43:49,160 Speaker 1: public health authorities build and release apps on Android and 709 00:43:49,440 --> 00:43:52,319 Speaker 1: on Apple. And then in the coming months they'll move 710 00:43:52,360 --> 00:43:56,000 Speaker 1: to phase two. Phase two is where Google and Apple 711 00:43:56,239 --> 00:44:01,279 Speaker 1: build this function directly into the operating system. You heard 712 00:44:01,320 --> 00:44:04,000 Speaker 1: that right, It's being built into the OS on your phone. 713 00:44:04,239 --> 00:44:06,560 Speaker 1: Doesn't matter if you download the app, it doesn't matter 714 00:44:06,680 --> 00:44:08,600 Speaker 1: if you love or hate the app. It will be 715 00:44:08,719 --> 00:44:12,319 Speaker 1: on your OS. No one sure what happens, uh to 716 00:44:12,440 --> 00:44:15,440 Speaker 1: all that surveillance, all that data once it's gathered, Does 717 00:44:15,480 --> 00:44:18,520 Speaker 1: it just vanish? Post COVID. Google recently made an announcement 718 00:44:18,520 --> 00:44:20,640 Speaker 1: about this, or I think Google and Apple jointly made 719 00:44:20,680 --> 00:44:24,600 Speaker 1: an announcement. Yeah, they independently sent out a couple of 720 00:44:24,920 --> 00:44:29,000 Speaker 1: sent out announcements about this thing. So here's the big 721 00:44:29,200 --> 00:44:34,279 Speaker 1: takeaway that they keep pushing on that concept that they're 722 00:44:34,320 --> 00:44:37,080 Speaker 1: not going to collect location data using this. It's not 723 00:44:37,080 --> 00:44:39,560 Speaker 1: gonna be used for this at all, And they're not 724 00:44:39,600 --> 00:44:42,839 Speaker 1: going to be using the data collected for targeted advertising. 725 00:44:43,400 --> 00:44:48,440 Speaker 1: And I think the most positive thing going here is that, well, 726 00:44:48,480 --> 00:44:52,719 Speaker 1: it's positive and negative. It's positive for privacy, it's negative 727 00:44:52,800 --> 00:44:57,560 Speaker 1: for the effectiveness of the app because each individual person 728 00:44:58,400 --> 00:45:01,600 Speaker 1: is going to have to upload it or confirm that 729 00:45:01,680 --> 00:45:06,520 Speaker 1: they have tested positive for coronavirus. So it's not as 730 00:45:06,520 --> 00:45:11,480 Speaker 1: though you're going it's going to automatically upload when when 731 00:45:12,360 --> 00:45:16,920 Speaker 1: let's say, Matt, when I contract coronavirus, I get tested, 732 00:45:17,080 --> 00:45:19,160 Speaker 1: I find out, you know, through the test that I 733 00:45:19,239 --> 00:45:22,240 Speaker 1: have definitely contracted it. It's not going to then connect 734 00:45:22,320 --> 00:45:25,279 Speaker 1: my phone, my device to my identity and upload that 735 00:45:25,320 --> 00:45:28,839 Speaker 1: I am coronavirus positive. I have to then go in 736 00:45:29,280 --> 00:45:32,880 Speaker 1: through the gooey or through the app and then upload 737 00:45:32,960 --> 00:45:36,919 Speaker 1: or confirm my test, which, because there's each coronavirus test 738 00:45:36,960 --> 00:45:41,120 Speaker 1: will have a number essentially generated associated with it. Um 739 00:45:41,200 --> 00:45:44,359 Speaker 1: you have to confirm that. Then that gets sent out 740 00:45:44,400 --> 00:45:47,680 Speaker 1: to everybody that has come into contact with my phone 741 00:45:48,120 --> 00:45:50,560 Speaker 1: over the course of you know, whatever that time window is, 742 00:45:50,840 --> 00:45:54,279 Speaker 1: let's say two weeks, like Ben and Nol and my 743 00:45:54,320 --> 00:45:56,719 Speaker 1: wife and all of my friends that I've talked to, 744 00:45:56,800 --> 00:45:58,960 Speaker 1: which I haven't really seen anybody in the past two weeks, 745 00:45:59,000 --> 00:46:01,359 Speaker 1: but they would all get note ified that perhaps they 746 00:46:01,440 --> 00:46:07,000 Speaker 1: came into contact with someone would not identify me with coronavirus. Yeah, yeah, 747 00:46:07,000 --> 00:46:08,960 Speaker 1: that's correct. So you can see how there's an effort 748 00:46:09,000 --> 00:46:13,720 Speaker 1: towards anonymity here. Uh. And you know, you can believe 749 00:46:13,880 --> 00:46:16,359 Speaker 1: Google and Apple when they say when they say they 750 00:46:16,400 --> 00:46:18,960 Speaker 1: won't ask for certain things or they won't share them 751 00:46:18,960 --> 00:46:23,000 Speaker 1: if they get them, because you know, a company is 752 00:46:23,080 --> 00:46:25,239 Speaker 1: able to get rid of that if they want, they 753 00:46:25,239 --> 00:46:29,040 Speaker 1: are able to avoid collecting certain things. Uh. They can 754 00:46:29,120 --> 00:46:32,200 Speaker 1: do whatever they want with it unless they are legally 755 00:46:32,280 --> 00:46:35,800 Speaker 1: compelled to do or not do something. And that brings 756 00:46:35,880 --> 00:46:37,799 Speaker 1: us to one of the big worries, which is the 757 00:46:37,840 --> 00:46:41,279 Speaker 1: government big brother. Let's say that Google and Apple are 758 00:46:41,280 --> 00:46:43,680 Speaker 1: acting in good faith. Let's say that they have, you know, 759 00:46:44,200 --> 00:46:50,400 Speaker 1: an app called, uh, I don't know, called America Breathe 760 00:46:50,400 --> 00:46:55,600 Speaker 1: Easy or something, and that's too long about America Breezy 761 00:46:55,680 --> 00:46:58,440 Speaker 1: there we go, Yeah, America Breezy. And so they have 762 00:46:58,480 --> 00:47:02,640 Speaker 1: America Breezy and they're collecting this data and their their 763 00:47:02,680 --> 00:47:05,800 Speaker 1: plan is to chunk it like to brick it afterwards, 764 00:47:05,880 --> 00:47:10,680 Speaker 1: but legislation requires them to hand it over. You see 765 00:47:10,840 --> 00:47:13,600 Speaker 1: big Brother. Whether that's the US or whether that's it 766 00:47:13,960 --> 00:47:17,319 Speaker 1: doesn't matter whichever country, Nepal, Bhutan, it doesn't matter. Big 767 00:47:17,360 --> 00:47:20,480 Speaker 1: Brother is there and is able to use this opportunity 768 00:47:20,680 --> 00:47:25,399 Speaker 1: to get sweeping surveillance powers. It is naive, extremely so 769 00:47:25,520 --> 00:47:29,280 Speaker 1: to assume that every country granting itself sweeping surveillance powers 770 00:47:29,520 --> 00:47:31,879 Speaker 1: is actually going to give them up after this is over, 771 00:47:32,200 --> 00:47:35,760 Speaker 1: after it normalizes. In fact, if you know, some people 772 00:47:35,840 --> 00:47:39,120 Speaker 1: might call this too far out there to tinfoil hattie, 773 00:47:39,160 --> 00:47:42,520 Speaker 1: but it is plausible that several of these capabilities for 774 00:47:42,560 --> 00:47:47,160 Speaker 1: widespread monitoring already existed. A global pandemic is just the 775 00:47:47,280 --> 00:47:50,960 Speaker 1: perfect opportunity that happened along. And now governments can go 776 00:47:51,040 --> 00:47:54,160 Speaker 1: public with stuff they already had. Now tech companies can 777 00:47:54,200 --> 00:47:59,520 Speaker 1: go public with stuff they already had. I am personally demite. 778 00:47:59,600 --> 00:48:04,200 Speaker 1: I'm personally certain that's that's the case. In the US, 779 00:48:04,320 --> 00:48:06,360 Speaker 1: the n s A, as we know, as you know, 780 00:48:06,520 --> 00:48:09,040 Speaker 1: long time listeners, the n s A and various other 781 00:48:09,120 --> 00:48:13,359 Speaker 1: organizations here including five Eyes, can do way more than 782 00:48:13,680 --> 00:48:17,040 Speaker 1: um that is publicly admitted. Yeah, we we know this, 783 00:48:17,280 --> 00:48:20,359 Speaker 1: I mean, we absolutely know this from what we know 784 00:48:20,400 --> 00:48:24,240 Speaker 1: about the giant data facilities. That were built in Utah 785 00:48:24,520 --> 00:48:26,319 Speaker 1: and what the n s A was using them for 786 00:48:26,480 --> 00:48:29,120 Speaker 1: because people leaked information about it and we found out 787 00:48:29,160 --> 00:48:31,400 Speaker 1: about that. I think about how long ago that was 788 00:48:31,480 --> 00:48:34,160 Speaker 1: Ben when we were talking about that, and how we've 789 00:48:34,200 --> 00:48:37,920 Speaker 1: just kind of forgotten or at least just choosing to 790 00:48:38,200 --> 00:48:40,640 Speaker 1: not think about it because it makes me feel a 791 00:48:40,640 --> 00:48:43,960 Speaker 1: little better when I don't think about it. Um. Yeah, 792 00:48:44,040 --> 00:48:46,200 Speaker 1: you make a great point, and I'm trying very hard 793 00:48:46,239 --> 00:48:51,680 Speaker 1: to stay positive here, so maybe not. We'll we'll have updates, 794 00:48:51,680 --> 00:48:54,200 Speaker 1: by the way, in a future episode very soon on 795 00:48:54,400 --> 00:48:57,960 Speaker 1: Julian Assan, Jean Edward Snowden. Don't think they are forgotten? 796 00:48:58,440 --> 00:49:01,319 Speaker 1: Uh and maybe that Russians by you know, I think 797 00:49:01,400 --> 00:49:05,160 Speaker 1: she got back, she's out of prison. But you're right. 798 00:49:05,520 --> 00:49:09,719 Speaker 1: Will these remain post pandemic? The answers this, unless there 799 00:49:09,760 --> 00:49:15,240 Speaker 1: are specific sunset laws put into place, then absolutely. Unlike 800 00:49:15,320 --> 00:49:19,320 Speaker 1: tech companies, the government has yet to issue any official 801 00:49:19,400 --> 00:49:22,560 Speaker 1: statement about this to the public, which means that for 802 00:49:22,680 --> 00:49:25,719 Speaker 1: right now, unless something changes, if privacy is Elvis in 803 00:49:25,800 --> 00:49:28,720 Speaker 1: America is a building, than Elvis has left the building. 804 00:49:30,200 --> 00:49:35,680 Speaker 1: Oh my god. Well, okay, here's the positive. If there 805 00:49:35,880 --> 00:49:39,719 Speaker 1: is ever a pandemic of some sort or even an 806 00:49:39,760 --> 00:49:43,239 Speaker 1: outbreak that is more isolated to one section of one 807 00:49:43,320 --> 00:49:47,000 Speaker 1: country or you know, a cluster of countries. You could 808 00:49:47,080 --> 00:49:51,319 Speaker 1: use this infrastructure to help from the jump, and that 809 00:49:51,360 --> 00:49:56,120 Speaker 1: could be a good way of perhaps avoiding the the 810 00:49:56,239 --> 00:49:59,719 Speaker 1: economic downturn that we're experiencing right now. If that was 811 00:49:59,800 --> 00:50:02,880 Speaker 1: the and it was only being used for positive means 812 00:50:02,920 --> 00:50:06,239 Speaker 1: to trace a you know, an outbreak like this, that 813 00:50:06,360 --> 00:50:08,960 Speaker 1: that's the one silver lining I can imagine. But that's 814 00:50:08,960 --> 00:50:13,479 Speaker 1: the thing, privacy versus safety, right, or liberty versus safety. Yeah, 815 00:50:13,520 --> 00:50:16,479 Speaker 1: and thinking speaking of things people have more or less 816 00:50:16,480 --> 00:50:19,879 Speaker 1: forgotten about, how about the election that's coming over right? 817 00:50:20,120 --> 00:50:23,319 Speaker 1: It just seems so bottom of mind given everything that's 818 00:50:23,320 --> 00:50:25,880 Speaker 1: going on, which is messed up to say the least. 819 00:50:25,920 --> 00:50:29,640 Speaker 1: But yeah, there still are increasing concerns swirling around whether 820 00:50:29,640 --> 00:50:33,560 Speaker 1: the government will use COVID as a way to essentially 821 00:50:33,960 --> 00:50:39,960 Speaker 1: change the nature of or delay elections. Um, this is 822 00:50:40,000 --> 00:50:43,320 Speaker 1: spreading through all political walks of life in the US, 823 00:50:43,360 --> 00:50:47,799 Speaker 1: and there's a handful of potential concerns. Does mandatory mail 824 00:50:47,840 --> 00:50:52,239 Speaker 1: in voting constitute a poll tax? That's interesting. Does mandatory 825 00:50:52,280 --> 00:50:56,080 Speaker 1: in person voting constitute a health risk? Two sides of 826 00:50:56,080 --> 00:50:59,400 Speaker 1: the same coin, will the November presidential election be delayed 827 00:51:00,520 --> 00:51:04,319 Speaker 1: or not happened? I mean they delayed bonnaru, So I mean, 828 00:51:04,520 --> 00:51:06,839 Speaker 1: who's to say they can't delay the election? You know? 829 00:51:07,520 --> 00:51:11,560 Speaker 1: Or dragon con right? Right? Uh? It certainly does not 830 00:51:11,760 --> 00:51:14,680 Speaker 1: seem out of the realm of possibility, and it seems 831 00:51:14,760 --> 00:51:16,800 Speaker 1: like the kind of thing that could be very easily 832 00:51:16,880 --> 00:51:21,040 Speaker 1: justified as a very reasonable measure to take to to 833 00:51:21,120 --> 00:51:25,120 Speaker 1: keep people safe. But is there nefarious intent behind it? 834 00:51:25,280 --> 00:51:29,240 Speaker 1: That's the thing, right right? What is the intent? And also, 835 00:51:29,560 --> 00:51:31,640 Speaker 1: this is an interesting one, this one that's gained a 836 00:51:31,640 --> 00:51:35,680 Speaker 1: lot of popularity recently. It's the concept of the distraction. 837 00:51:36,160 --> 00:51:39,640 Speaker 1: What if instead of being under reported COVID numbers, the 838 00:51:39,719 --> 00:51:43,480 Speaker 1: death rates, the um the contraction rates, What if they're 839 00:51:43,480 --> 00:51:47,560 Speaker 1: actually being inflated? If so, why? This argument is pretty 840 00:51:47,560 --> 00:51:50,520 Speaker 1: popular in various groups. The The idea here is that 841 00:51:50,600 --> 00:51:53,239 Speaker 1: a great deal of the COVID worry is, either in 842 00:51:53,360 --> 00:51:58,080 Speaker 1: part or in full, an intentional effort by media in 843 00:51:58,160 --> 00:52:02,320 Speaker 1: various governments to distract the public from other pressing issues, 844 00:52:02,520 --> 00:52:06,120 Speaker 1: such as, you know, an election, or to allow a 845 00:52:06,200 --> 00:52:11,120 Speaker 1: government more breathing room to institute massive surveillance capabilities without 846 00:52:11,160 --> 00:52:15,680 Speaker 1: all the debate, conversation, and criticism that would normally happen. 847 00:52:15,760 --> 00:52:18,120 Speaker 1: I mean, this is an interesting one. We noted the 848 00:52:18,200 --> 00:52:22,640 Speaker 1: inherent opportunism. There's no question that people are taking advantage 849 00:52:22,680 --> 00:52:26,359 Speaker 1: in tremendously unethical ways. But you know, when we talk 850 00:52:26,400 --> 00:52:28,880 Speaker 1: about this, we have to ask ourselves the same question 851 00:52:28,920 --> 00:52:34,319 Speaker 1: you ask whenever you see a government messing up. Is 852 00:52:34,360 --> 00:52:39,040 Speaker 1: this out of ingenious design? Ingenious insidious design? Or is 853 00:52:39,080 --> 00:52:42,400 Speaker 1: this out of you know, garden variety and competence, the 854 00:52:42,480 --> 00:52:46,359 Speaker 1: kind you can encounter at UH street corners and all 855 00:52:46,400 --> 00:52:50,560 Speaker 1: you can eat buffets the world over. I I don't know, um, 856 00:52:50,920 --> 00:52:54,680 Speaker 1: I really, you know, if we if we walked through it, 857 00:52:55,040 --> 00:52:58,120 Speaker 1: I think we can find arguments for both sides. But 858 00:52:59,160 --> 00:53:02,080 Speaker 1: as far as inflating the numbers, one of the other 859 00:53:02,200 --> 00:53:05,480 Speaker 1: arguments would be that the numbers are being inflated to 860 00:53:05,719 --> 00:53:10,080 Speaker 1: prevent them from reaching uh a catastrophic point. I don't know, well, 861 00:53:10,080 --> 00:53:11,719 Speaker 1: I mean, what do you think? What do you guys think? 862 00:53:13,360 --> 00:53:17,080 Speaker 1: What the narrative I've seen floating around is that the 863 00:53:17,160 --> 00:53:21,800 Speaker 1: numbers are being inflated to cause enough fear in people 864 00:53:22,320 --> 00:53:26,960 Speaker 1: to self quarantine even if there are you know, if 865 00:53:26,960 --> 00:53:30,640 Speaker 1: there are orders from your let's say your state's governor 866 00:53:30,800 --> 00:53:34,520 Speaker 1: or the president himself that you have to quarantine. Not 867 00:53:34,640 --> 00:53:37,520 Speaker 1: everybody is going to listen to that, but if the 868 00:53:37,600 --> 00:53:41,320 Speaker 1: death toll and the numbers are scary enough, then people 869 00:53:41,360 --> 00:53:44,240 Speaker 1: will do it because they feel like they're protecting themselves 870 00:53:44,280 --> 00:53:48,560 Speaker 1: and their families. Um, that's the narrative I've seen floating around. 871 00:53:48,600 --> 00:53:53,080 Speaker 1: I do not I do not believe this to be true. Um, 872 00:53:53,239 --> 00:53:57,239 Speaker 1: though I do know psychologically that would be correct. Right. 873 00:53:57,360 --> 00:53:59,800 Speaker 1: It's like, psychologically you would have an effect on p 874 00:54:00,040 --> 00:54:03,359 Speaker 1: well if you if you made the numbers higher than 875 00:54:03,400 --> 00:54:05,319 Speaker 1: they were, and you made it more scary, you get 876 00:54:05,360 --> 00:54:08,920 Speaker 1: everyone to comply the way the majority of people, at 877 00:54:09,000 --> 00:54:11,480 Speaker 1: least in the United States have been complying. That would 878 00:54:11,520 --> 00:54:14,839 Speaker 1: be a pretty generous and magnanimous use of that kind 879 00:54:14,840 --> 00:54:17,880 Speaker 1: of inflating though, I would say, right, like, well, with 880 00:54:17,960 --> 00:54:20,840 Speaker 1: the best with the best interest of people's health and mind. 881 00:54:21,160 --> 00:54:23,919 Speaker 1: We're talking also about versions of it that are much 882 00:54:23,960 --> 00:54:27,400 Speaker 1: more self serving, you know, right, Yeah. The the nefarious 883 00:54:27,440 --> 00:54:30,879 Speaker 1: part to that, generally, to that narrative, is that the 884 00:54:30,920 --> 00:54:36,200 Speaker 1: economy is being crashed purposefully to either bring in you know, 885 00:54:36,320 --> 00:54:40,239 Speaker 1: to to kill cash essentially, or to cause a revolution. 886 00:54:41,200 --> 00:54:44,000 Speaker 1: Within the United States and abroad. Oh, I love it, 887 00:54:44,080 --> 00:54:48,080 Speaker 1: you know, uh Iran. Just before the attempted the latest 888 00:54:48,080 --> 00:54:50,880 Speaker 1: attemptive Venezuelan coup, Iran went in and cleaned out some 889 00:54:50,920 --> 00:54:54,040 Speaker 1: of their gold bars because oil countries are in a 890 00:54:54,480 --> 00:54:58,880 Speaker 1: in a fix right now. So this speak of narrative, 891 00:54:58,920 --> 00:55:01,040 Speaker 1: this brings us to something that I know a lot 892 00:55:01,080 --> 00:55:05,480 Speaker 1: of us were hoping to hear on today's episode as this. Recently, 893 00:55:05,560 --> 00:55:09,200 Speaker 1: the current President of the United States made international headlines 894 00:55:09,239 --> 00:55:12,399 Speaker 1: when he stated that he had proof, proof positive of 895 00:55:12,440 --> 00:55:17,400 Speaker 1: some sort that convinced him this coronavirus did indeed come 896 00:55:17,520 --> 00:55:22,080 Speaker 1: from a laboratory, that same laboratory that we mentioned way 897 00:55:22,120 --> 00:55:27,080 Speaker 1: back in our first COVID episode. But keep in mind 898 00:55:27,120 --> 00:55:30,960 Speaker 1: this contradicts several other findings, including those from some US 899 00:55:31,080 --> 00:55:36,760 Speaker 1: departments and intelligence agencies. When asked to describe this proof 900 00:55:36,880 --> 00:55:40,239 Speaker 1: or to speak more about it, the President said, this 901 00:55:40,280 --> 00:55:42,520 Speaker 1: is this is a quote. He said he wasn't allowed 902 00:55:42,560 --> 00:55:46,360 Speaker 1: to uh that, you know there that could be taken 903 00:55:46,360 --> 00:55:49,680 Speaker 1: to mean there were security concerns. Right. If there is 904 00:55:49,719 --> 00:55:53,359 Speaker 1: something more to this story, it could fundamentally alter our 905 00:55:53,480 --> 00:55:57,200 Speaker 1: understanding of the situation. And again, if that sort of 906 00:55:57,200 --> 00:56:00,680 Speaker 1: proof does exist. Going public with it could exposed the 907 00:56:00,760 --> 00:56:05,240 Speaker 1: US intelligence apparatus at play. You know, spies could get compromised, 908 00:56:05,560 --> 00:56:08,640 Speaker 1: people would learn about tech that maybe they weren't supposed 909 00:56:08,680 --> 00:56:12,160 Speaker 1: to know about. UM. But that would be that like, 910 00:56:12,320 --> 00:56:16,799 Speaker 1: that's the if we're making an assumption, right, if we're 911 00:56:16,800 --> 00:56:21,000 Speaker 1: assuming that there is something real there, then that would 912 00:56:21,040 --> 00:56:24,480 Speaker 1: be the first reason not to reveal it. But no 913 00:56:24,520 --> 00:56:28,040 Speaker 1: one else has confirmed this. There's no second second source 914 00:56:28,120 --> 00:56:30,920 Speaker 1: coming out in agreen with it at this point. Yeah, 915 00:56:30,960 --> 00:56:34,920 Speaker 1: And I would just say we have seen similar statements 916 00:56:35,480 --> 00:56:42,280 Speaker 1: UM like this that appeared that appeared to be UM 917 00:56:42,320 --> 00:56:45,040 Speaker 1: akin to, Hey, I've got some really important information, but 918 00:56:45,120 --> 00:56:47,799 Speaker 1: I can't tell you about it yet. Yeah, I've got 919 00:56:47,800 --> 00:56:50,319 Speaker 1: a I got a girlfriend. You wouldn't know her. She's 920 00:56:50,360 --> 00:56:52,640 Speaker 1: in AA, she goes to a different school. She's from Canada. 921 00:56:52,840 --> 00:56:56,600 Speaker 1: She's I swear she's real though, she's absolutely absolutely real. 922 00:56:57,120 --> 00:57:00,040 Speaker 1: Her name is Tess. And that's not to say that 923 00:57:00,280 --> 00:57:03,480 Speaker 1: the president isn't. Maybe maybe he does have some kind 924 00:57:03,480 --> 00:57:05,640 Speaker 1: of highly classified thing. But I totally agree with you 925 00:57:05,680 --> 00:57:09,279 Speaker 1: Ben about how it's Uh, it seems like it just 926 00:57:09,280 --> 00:57:13,279 Speaker 1: seems like a poor move UM in general. And we're 927 00:57:13,360 --> 00:57:16,680 Speaker 1: waiting to hear more as that story develops. But again, 928 00:57:17,040 --> 00:57:20,240 Speaker 1: to be absolutely fair, if it is true, then that 929 00:57:20,480 --> 00:57:23,120 Speaker 1: is a powder keg of a of a development. There, 930 00:57:24,200 --> 00:57:27,320 Speaker 1: one last one, one last one. Today, as we've just 931 00:57:27,360 --> 00:57:30,560 Speaker 1: sort of skimmed across a wide variety of things, you 932 00:57:30,760 --> 00:57:34,840 Speaker 1: may have heard that a book by UH fiction author 933 00:57:34,960 --> 00:57:41,480 Speaker 1: Dean Koontz predicted coronavirus, The Eyes of Darkness. Uh. You know, 934 00:57:41,560 --> 00:57:45,720 Speaker 1: if you read one of the paperback editions now you'll 935 00:57:45,760 --> 00:57:48,680 Speaker 1: see that it's a story about something called Wuhan four 936 00:57:48,840 --> 00:57:53,680 Speaker 1: hundred coronavirus, a pandemic that spreads across the world. However, 937 00:57:54,360 --> 00:57:56,680 Speaker 1: that's not what it originally said. If you look at 938 00:57:56,720 --> 00:58:01,160 Speaker 1: the first printing, it was called gork four hundred, and 939 00:58:01,160 --> 00:58:07,080 Speaker 1: they changed it. Yeah, oh, talk about opportunism. No, they 940 00:58:07,080 --> 00:58:11,400 Speaker 1: didn't change it to wuhan. Okay, okay, well still still 941 00:58:11,440 --> 00:58:14,240 Speaker 1: it's still somewhat predicting it, or at least some clever 942 00:58:14,600 --> 00:58:18,240 Speaker 1: you know, copy editor predicted it. He's got a lot 943 00:58:18,240 --> 00:58:20,120 Speaker 1: of eyes of books, a name a book called Eyes 944 00:58:20,160 --> 00:58:22,640 Speaker 1: of the Dragon as well. Is that that's Stephen King, 945 00:58:22,720 --> 00:58:26,320 Speaker 1: I think, isn't it? Now it's Dean Kutz. Let's see, 946 00:58:26,400 --> 00:58:30,720 Speaker 1: Eyes of the Dragon is by Stephen King. Your damn right, Ben, 947 00:58:31,640 --> 00:58:35,320 Speaker 1: Twilight Eyes? Okay, he made Twilight Eyes? Is that the 948 00:58:35,360 --> 00:58:38,400 Speaker 1: only other eyes book he has? I don't know. He's 949 00:58:38,440 --> 00:58:40,480 Speaker 1: got a lot of books. He does have a lot 950 00:58:40,520 --> 00:58:45,360 Speaker 1: of books. I remember Hideaway, Remember Hideaway, Ben, That was 951 00:58:45,680 --> 00:58:50,480 Speaker 1: about a Satanic worship Satan worshiping serial killer, and there 952 00:58:50,520 --> 00:58:54,560 Speaker 1: was a movie where Jeremy Sisto played that character. Jeremy 953 00:58:54,600 --> 00:59:01,919 Speaker 1: Sisto famously played the unhinged boyfriend of Air on six 954 00:59:01,920 --> 00:59:04,720 Speaker 1: ft Under. He's kind of like a cookie artist guy. 955 00:59:05,120 --> 00:59:07,040 Speaker 1: He was also in Clueless, I want to say, but 956 00:59:07,280 --> 00:59:09,320 Speaker 1: that guy always played like kind of an unhinged character. 957 00:59:09,320 --> 00:59:12,400 Speaker 1: But that was an interesting movie. Um, that's so crazy 958 00:59:12,440 --> 00:59:15,080 Speaker 1: that they that they changed that. I wonder what their 959 00:59:15,120 --> 00:59:18,880 Speaker 1: motivation was for changing the text. Well, originally the virus 960 00:59:19,360 --> 00:59:22,959 Speaker 1: I believe in the first printing from eighty one it 961 00:59:23,120 --> 00:59:26,920 Speaker 1: was I think a Russian town. Maybe that's incorrect. I 962 00:59:26,920 --> 00:59:28,360 Speaker 1: want to say it was a Russian town where the 963 00:59:28,400 --> 00:59:32,280 Speaker 1: virus originated. That Gorky Gorky Park is a famous Russian 964 00:59:32,720 --> 00:59:35,760 Speaker 1: uh amusement park. I believe that is as a place 965 00:59:35,800 --> 00:59:39,560 Speaker 1: you can visit still where Um, it's sort of been 966 00:59:39,640 --> 00:59:46,760 Speaker 1: ravaged by radio activity from Drenobyl, I believe. Yeah. Yeah. 967 00:59:46,800 --> 00:59:49,200 Speaker 1: So it came out in one it was gorky, and 968 00:59:49,200 --> 00:59:51,640 Speaker 1: then when it was released again in nineteen eighty nine, 969 00:59:51,760 --> 00:59:55,800 Speaker 1: it was changed to wuhan. So so that's I don't know, 970 00:59:55,960 --> 00:59:59,240 Speaker 1: myth busted. It's just it's interesting to think about, Dean. 971 00:59:59,520 --> 01:00:02,520 Speaker 1: If it sneen, keep it up, man, Let's let us 972 01:00:02,560 --> 01:00:06,200 Speaker 1: know about your next projects, uh speaking, things that are next. 973 01:00:06,920 --> 01:00:08,960 Speaker 1: This is this is our show for today, and we 974 01:00:09,000 --> 01:00:10,800 Speaker 1: have to leave it to you. What do you think 975 01:00:10,920 --> 01:00:12,840 Speaker 1: is going to happen next? Are we going to see 976 01:00:12,880 --> 01:00:14,920 Speaker 1: a spike in deaths? Are we going to see a 977 01:00:15,120 --> 01:00:18,439 Speaker 1: decline in deaths? Are we going to see that these 978 01:00:18,560 --> 01:00:22,160 Speaker 1: numbers and the origin story of coronavirus are in fact, 979 01:00:22,800 --> 01:00:27,480 Speaker 1: uh fabrications? I don't know. Yeah, yeah, we're gonna We're 980 01:00:27,520 --> 01:00:31,600 Speaker 1: just gonna have revelation after revelation. I'm pretty sure every week, 981 01:00:31,640 --> 01:00:35,160 Speaker 1: every day moving forward, and there's gonna be a ton 982 01:00:35,200 --> 01:00:37,360 Speaker 1: for us to talk about, especially once all of us 983 01:00:37,400 --> 01:00:42,240 Speaker 1: have our iOS or Android devices, letting us know all 984 01:00:42,240 --> 01:00:45,280 Speaker 1: the people we've come into contact with coronavirus. And and 985 01:00:45,320 --> 01:00:47,120 Speaker 1: as it stands right now, I don't believe any of 986 01:00:47,200 --> 01:00:50,520 Speaker 1: us have gotten the test, whether an antibody test or 987 01:00:50,920 --> 01:00:53,600 Speaker 1: you know, a test to see if we're currently infected. 988 01:00:53,960 --> 01:00:56,919 Speaker 1: Because I think in here in Atlanta, we are pretty 989 01:00:57,000 --> 01:01:00,000 Speaker 1: lucky that a few places are making those tests available, 990 01:01:00,240 --> 01:01:03,920 Speaker 1: and the criteria for getting one has started to loosen 991 01:01:04,320 --> 01:01:06,280 Speaker 1: in the past few weeks, where you can you know, 992 01:01:06,880 --> 01:01:09,160 Speaker 1: that promise that the President made early on where anyone 993 01:01:09,200 --> 01:01:11,080 Speaker 1: who wants a test can get a test is starting 994 01:01:11,080 --> 01:01:14,120 Speaker 1: to be a little more true, but still not you know, 995 01:01:14,440 --> 01:01:17,520 Speaker 1: as true as it maybe should be, I would say, 996 01:01:18,320 --> 01:01:23,040 Speaker 1: in a positive and scary thing. Um, waffle houses reopened 997 01:01:23,080 --> 01:01:27,520 Speaker 1: in Georgia and Guys. I went to one. I walked 998 01:01:27,560 --> 01:01:30,040 Speaker 1: into a waffle house and picked up my to go order. 999 01:01:30,960 --> 01:01:35,080 Speaker 1: It was pretty scary, but they were actually they were. 1000 01:01:35,120 --> 01:01:38,520 Speaker 1: It was not crowded, but they were taking a lot 1001 01:01:38,600 --> 01:01:41,760 Speaker 1: of steps, I would say, to to make me feel 1002 01:01:41,760 --> 01:01:45,040 Speaker 1: safe as the customer, as well as keep their employees safe. 1003 01:01:45,120 --> 01:01:48,760 Speaker 1: It was actually it was great. What did you get? Uh? 1004 01:01:48,840 --> 01:01:54,400 Speaker 1: You know all star special? Dude? Come on, it does 1005 01:01:54,480 --> 01:01:58,800 Speaker 1: with some pecans in it. Baby. Yeah. So uh, hopefully 1006 01:01:58,840 --> 01:02:02,000 Speaker 1: everybody knows this, but here in the American South, a 1007 01:02:02,240 --> 01:02:05,520 Speaker 1: waffle house closing down is a huge deal. In fact, 1008 01:02:05,840 --> 01:02:11,560 Speaker 1: for a while, FEMA unofficially used used waffle house closures 1009 01:02:11,600 --> 01:02:15,840 Speaker 1: as a measure of disaster severity from the waffle House Index. 1010 01:02:16,600 --> 01:02:18,680 Speaker 1: One last little update, by the way, I don't know 1011 01:02:18,680 --> 01:02:21,520 Speaker 1: if you guys saw this, but Billboard magazine recently put 1012 01:02:21,560 --> 01:02:26,120 Speaker 1: out an article saying Missouri governor says concerts can resume Monday. 1013 01:02:26,280 --> 01:02:29,440 Speaker 1: Missouri Governor Mike Carson has given the okay for concerts 1014 01:02:29,480 --> 01:02:32,880 Speaker 1: to begin again as early as Monday, as long as 1015 01:02:33,040 --> 01:02:38,000 Speaker 1: UH certain social distancing measures are taken. I don't know 1016 01:02:38,000 --> 01:02:42,360 Speaker 1: how you do that at a concert properly. That does 1017 01:02:42,400 --> 01:02:45,480 Speaker 1: seem tough. Well, let's keep an eye on Missouri and 1018 01:02:45,520 --> 01:02:47,760 Speaker 1: see what happens in the next two or three weeks 1019 01:02:47,800 --> 01:02:49,440 Speaker 1: with it. And we also want to hear what's happening 1020 01:02:49,480 --> 01:02:52,080 Speaker 1: in your neck of the Global woods. Let us know 1021 01:02:52,200 --> 01:02:54,240 Speaker 1: do you think COVID is overblown? Do you think it's 1022 01:02:54,240 --> 01:02:58,440 Speaker 1: all underestimated? And let us know what you think life 1023 01:02:58,600 --> 01:03:01,760 Speaker 1: post pandemic will be like. You can tell us about 1024 01:03:01,760 --> 01:03:04,240 Speaker 1: it on Instagram, You can find us on Facebook. You 1025 01:03:04,280 --> 01:03:07,680 Speaker 1: can talk to us on Twitter where we are conspiracy 1026 01:03:07,760 --> 01:03:12,720 Speaker 1: stuff on Twitter and Facebook, and conspiracy Stuff Show on Instagram. 1027 01:03:12,760 --> 01:03:15,800 Speaker 1: If you wish you can find us as individual human people. 1028 01:03:16,080 --> 01:03:20,240 Speaker 1: UM follow our quarantine adventures. Uh. You can find me 1029 01:03:20,280 --> 01:03:23,200 Speaker 1: exclusively on Instagram. I am at how Now Noel Brown 1030 01:03:23,760 --> 01:03:27,280 Speaker 1: and until the Black Bag gets me. You can find 1031 01:03:27,320 --> 01:03:30,040 Speaker 1: me on Twitter where I'm Ben Bolling hs W. You 1032 01:03:30,080 --> 01:03:34,080 Speaker 1: can find me on Instagram where I am at Ben Bulling. 1033 01:03:34,160 --> 01:03:38,080 Speaker 1: I'm getting back into painting again. I guess I'll just Uh, 1034 01:03:38,240 --> 01:03:41,640 Speaker 1: it'll be very on brand for me to paint some badgers, 1035 01:03:41,720 --> 01:03:44,280 Speaker 1: so maybe I'll send those along to you guys online. 1036 01:03:44,760 --> 01:03:48,200 Speaker 1: Nice And you can always find me at Dean Coont's 1037 01:03:48,280 --> 01:03:51,880 Speaker 1: official on Instagram. I'll be there just showing you all 1038 01:03:51,920 --> 01:03:55,360 Speaker 1: the books that I've got, really great books hideaways, one 1039 01:03:55,400 --> 01:04:00,840 Speaker 1: of them also devoted just check it out, oh hey, 1040 01:04:00,880 --> 01:04:04,320 Speaker 1: and another one about eyes Noel for you my work 1041 01:04:04,640 --> 01:04:07,840 Speaker 1: from the Corner of his Eye. Thanks Dean. And if 1042 01:04:07,840 --> 01:04:09,880 Speaker 1: you don't want to find me on Instagram again Dean 1043 01:04:09,960 --> 01:04:12,800 Speaker 1: Coon's Official. You can always give me a call as 1044 01:04:12,840 --> 01:04:14,880 Speaker 1: well as the rest of the guys here. Our number 1045 01:04:15,000 --> 01:04:18,440 Speaker 1: is one eight three three S T D W y 1046 01:04:18,560 --> 01:04:21,400 Speaker 1: t K. You can leave a message, tell us how 1047 01:04:21,440 --> 01:04:24,200 Speaker 1: you're doing, what you're thinking, something you want us to cover, 1048 01:04:24,400 --> 01:04:27,000 Speaker 1: something you want us to stop doing there. There have 1049 01:04:27,080 --> 01:04:29,320 Speaker 1: been a few messages coming our way lately that have 1050 01:04:29,440 --> 01:04:32,880 Speaker 1: been like, hey, you're pronouncing this wrong. Stop doing that. 1051 01:04:33,720 --> 01:04:36,200 Speaker 1: So you can do that, that's fine, It doesn't hurt 1052 01:04:36,240 --> 01:04:38,920 Speaker 1: us that much. Maybe our feelings a little bit, but 1053 01:04:39,320 --> 01:04:41,200 Speaker 1: we'll be okay. And if you don't want to do 1054 01:04:41,240 --> 01:04:43,160 Speaker 1: any of that stuff, you can send us a good 1055 01:04:43,160 --> 01:04:46,520 Speaker 1: old fashioned email where we are conspiracy at i heeart 1056 01:04:46,600 --> 01:05:07,160 Speaker 1: radio dot com. Yeah. Stuff they don't want you to 1057 01:05:07,200 --> 01:05:09,960 Speaker 1: know is a production of I heart Radio. For more 1058 01:05:10,000 --> 01:05:12,760 Speaker 1: podcasts from my heart Radio, visit the i heart Radio app, 1059 01:05:12,840 --> 01:05:15,720 Speaker 1: Apple Podcasts, or wherever you listen to your favorite shows.