1 00:00:00,240 --> 00:00:05,120 Speaker 1: Okay, everybody take their soma. Everybody check their their pills, 2 00:00:05,600 --> 00:00:09,559 Speaker 1: make sure you're on schedule. Whatever I think of this episode, man, 3 00:00:09,680 --> 00:00:13,240 Speaker 1: the first thing I think of is how normalized it 4 00:00:13,280 --> 00:00:17,480 Speaker 1: is to have very weird commercials for prescription drugs here 5 00:00:17,480 --> 00:00:20,000 Speaker 1: in the US that doesn't happen in like most other 6 00:00:20,040 --> 00:00:24,400 Speaker 1: countries except New Zealand. I think I don't often watch 7 00:00:24,520 --> 00:00:28,360 Speaker 1: television shows that have commercials in them anymore. But I 8 00:00:28,400 --> 00:00:31,720 Speaker 1: happened to be on a popular streaming service watching a 9 00:00:31,760 --> 00:00:34,839 Speaker 1: television show you know that aired on TV, and then 10 00:00:34,880 --> 00:00:38,200 Speaker 1: they put them on these streaming services, and I sat 11 00:00:38,320 --> 00:00:43,559 Speaker 1: through so many pharmaceutical company commercials. I I had no 12 00:00:43,640 --> 00:00:46,560 Speaker 1: idea they were going so strong, but so many weird 13 00:00:46,600 --> 00:00:50,840 Speaker 1: ass names. I thought the same thing. You're reading my mind, man. 14 00:00:51,200 --> 00:00:57,120 Speaker 1: I always I have this strange fascination with those commercials. 15 00:00:57,200 --> 00:00:59,120 Speaker 1: Like you, I don't watch a lot of television either. 16 00:01:01,080 --> 00:01:03,960 Speaker 1: I just love I love the idea that someone is saying, 17 00:01:04,280 --> 00:01:07,840 Speaker 1: how do we tell people that this drug could help 18 00:01:07,880 --> 00:01:12,120 Speaker 1: with a very specific condition and possibly have some terrible 19 00:01:12,120 --> 00:01:14,360 Speaker 1: side effects? And then someone's like, you know what, we 20 00:01:14,400 --> 00:01:18,839 Speaker 1: should have just uh people frolicking in a park? Yeah, 21 00:01:19,480 --> 00:01:21,479 Speaker 1: and just say the name of the thing, but don't 22 00:01:21,520 --> 00:01:23,959 Speaker 1: say what it does. And the call to action without 23 00:01:24,040 --> 00:01:27,520 Speaker 1: fail in every one of these commercials is ask your 24 00:01:27,600 --> 00:01:30,880 Speaker 1: doctor if this drug is right for you. That is 25 00:01:30,920 --> 00:01:35,480 Speaker 1: so weird to me, followed immediately after by like the 26 00:01:35,560 --> 00:01:39,240 Speaker 1: micro machine man going through boboutrain is not allowed for 27 00:01:39,280 --> 00:01:42,240 Speaker 1: the left handed the Welsh, you know, like if he 28 00:01:42,280 --> 00:01:44,440 Speaker 1: goes on and it goes like you know, it sees 29 00:01:44,480 --> 00:01:48,720 Speaker 1: you immediately if you have bouts of mystical revelations, the tingles, 30 00:01:48,760 --> 00:01:51,640 Speaker 1: the shingles, the shankles, the cankles man, it seems like 31 00:01:51,720 --> 00:01:55,200 Speaker 1: they're taking their cues from Illumination Global. In my opinion, 32 00:01:55,880 --> 00:01:59,000 Speaker 1: I feel like I contractually cannot comment on that. But 33 00:01:59,120 --> 00:02:04,280 Speaker 1: this episode is all right, let's say, let's take our drugs. 34 00:02:04,560 --> 00:02:08,960 Speaker 1: Here we go from UFOs two ghosts and government cover ups. 35 00:02:09,120 --> 00:02:12,640 Speaker 1: History is riddled with unexplained events. You can turn back 36 00:02:12,680 --> 00:02:15,560 Speaker 1: now or learn the stuff they don't want you to now. 37 00:02:21,120 --> 00:02:23,720 Speaker 1: Dear Ben and Matt, I don't think you guys have 38 00:02:23,800 --> 00:02:26,760 Speaker 1: covered this, but I think it is a pretty interesting topic. 39 00:02:27,480 --> 00:02:30,160 Speaker 1: As a slave to the pharmaceutical industry, I think the 40 00:02:30,200 --> 00:02:35,080 Speaker 1: big pharmacy is holding back cures for diseases since everyone 41 00:02:35,160 --> 00:02:38,519 Speaker 1: worships the almighty dollar. I feel that it's much more 42 00:02:38,600 --> 00:02:41,720 Speaker 1: profitable to keep billing people for treatment rather than finding 43 00:02:41,760 --> 00:02:45,320 Speaker 1: a cure for said disease. I would love to see 44 00:02:45,560 --> 00:02:54,480 Speaker 1: here you guys cover this topic, Sean. Oh And, ladies 45 00:02:54,520 --> 00:02:59,080 Speaker 1: and gentlemen, welcome back to the show. I'm here, I'm 46 00:02:59,160 --> 00:03:03,200 Speaker 1: Ben no Ah, you're here here, and most importantly you 47 00:03:03,240 --> 00:03:08,200 Speaker 1: are here Sean. Ladies and gentlemen, everybody in the US, 48 00:03:08,280 --> 00:03:13,120 Speaker 1: across the world, We're coming semi live. To your ear bles, 49 00:03:13,240 --> 00:03:17,760 Speaker 1: ear holes, yeah, to your ear jumps maybe. Uh. And 50 00:03:17,800 --> 00:03:20,639 Speaker 1: that makes this stuff they don't want you to know. 51 00:03:21,080 --> 00:03:24,840 Speaker 1: Today we're tackling something that was inspired by a listener 52 00:03:24,840 --> 00:03:29,359 Speaker 1: mail and that we have talked about extensively off air before, 53 00:03:29,520 --> 00:03:32,760 Speaker 1: just in our conversations when we hang out after work. Right, 54 00:03:33,600 --> 00:03:37,880 Speaker 1: So we're talking about big pharma conspiracies. A little bit 55 00:03:37,880 --> 00:03:42,160 Speaker 1: of background. We did a video series on this way 56 00:03:42,480 --> 00:03:44,880 Speaker 1: way back. And then we also did I don't know 57 00:03:44,920 --> 00:03:46,920 Speaker 1: why I did a goat noise there. No, it was good, 58 00:03:46,960 --> 00:03:49,560 Speaker 1: it was appropriate. Does it work, Okay, we'll keep it. Uh. 59 00:03:49,600 --> 00:03:53,800 Speaker 1: And then we also did in January an episode about 60 00:03:53,840 --> 00:03:58,160 Speaker 1: the legal drug trade, which will be pharmaceuticals. This episode, 61 00:03:58,240 --> 00:04:02,600 Speaker 1: we are going to focus on more of the conspiracies 62 00:04:02,640 --> 00:04:10,040 Speaker 1: and the conspiracy theories surrounding big pharma. So first things first, well, 63 00:04:10,120 --> 00:04:12,080 Speaker 1: we'll look at it this way. As we said before, 64 00:04:12,680 --> 00:04:15,880 Speaker 1: legal drugs are a big business. We'd like to give 65 00:04:15,880 --> 00:04:20,360 Speaker 1: you some industry statistics. So I M. S Health reports 66 00:04:20,440 --> 00:04:24,000 Speaker 1: that overall drug spending weighed in at about three twenty 67 00:04:24,160 --> 00:04:28,960 Speaker 1: billion dollars in UM. Through the f d A and Congress, 68 00:04:29,360 --> 00:04:32,640 Speaker 1: the US works to ensure access to safe, effective drugs. 69 00:04:32,920 --> 00:04:37,880 Speaker 1: At least that's the idea, um. So, but at the 70 00:04:37,920 --> 00:04:42,159 Speaker 1: same time, critics say that quote unquote big pharma has 71 00:04:42,240 --> 00:04:46,360 Speaker 1: paid Congress to turn a blind eye to predatory and 72 00:04:46,600 --> 00:04:51,760 Speaker 1: shady dishonest practices like price gouging. So what is again 73 00:04:51,880 --> 00:04:56,679 Speaker 1: the big air quote endquote, big pharma exactly right, um, 74 00:04:56,680 --> 00:05:01,440 Speaker 1: other than just a convenient catchphrase. Right. So, nowadays big 75 00:05:01,480 --> 00:05:05,359 Speaker 1: pharma has become this umbrella term for the world's largest 76 00:05:05,560 --> 00:05:11,640 Speaker 1: multinational pharmaceutical companies. These are the corporate goliaths, the corporate 77 00:05:11,640 --> 00:05:17,120 Speaker 1: behemoths that own patents on life saving name brand proprietary drugs, 78 00:05:17,160 --> 00:05:21,599 Speaker 1: and they work to prevent generic knockoffs from replacing these 79 00:05:21,800 --> 00:05:26,320 Speaker 1: different markets. So in nineteen, from nine to two thousand twelve, 80 00:05:26,520 --> 00:05:32,040 Speaker 1: the pharmaceutical industry spent around two point six billion dollars 81 00:05:32,120 --> 00:05:37,400 Speaker 1: just to lobby lawmakers, legislators, and for for some perspective, 82 00:05:37,640 --> 00:05:40,960 Speaker 1: if you haven't read that number against other things, that 83 00:05:41,000 --> 00:05:45,560 Speaker 1: means that they've spent more than the defense and aerospace sectors. Yeah. 84 00:05:45,600 --> 00:05:48,159 Speaker 1: I mean, maybe I'm naive, but I always have a 85 00:05:48,200 --> 00:05:53,360 Speaker 1: hard time imagining what day to day lobbying actually looks like. 86 00:05:53,480 --> 00:05:55,360 Speaker 1: Can you fill me in and the listeners just a 87 00:05:55,360 --> 00:06:01,240 Speaker 1: little bit about specifically what a pharmaceutical lobbyist might do influence. Yeah, well, 88 00:06:01,360 --> 00:06:04,839 Speaker 1: that's a great question. We should mention a shout out 89 00:06:04,880 --> 00:06:08,800 Speaker 1: to our own Matt the Madman Frederick, who is with us, 90 00:06:09,360 --> 00:06:12,600 Speaker 1: who is with us in spirit on his vacation, because 91 00:06:12,839 --> 00:06:15,200 Speaker 1: I'm about to talk about one of Matt's favorite shows. 92 00:06:15,279 --> 00:06:18,559 Speaker 1: Longtime listeners, you've heard this before. There was a show 93 00:06:18,600 --> 00:06:22,400 Speaker 1: called K Street. I believe it was right. Definitely mention 94 00:06:22,480 --> 00:06:27,600 Speaker 1: that one. Yeah, and this gives a not completely accurate, 95 00:06:27,680 --> 00:06:31,120 Speaker 1: but pretty close to the bone look at how lobbying works. 96 00:06:31,240 --> 00:06:38,480 Speaker 1: Lobbying is a legal activity in the US. Technically or theoretically. 97 00:06:39,160 --> 00:06:42,600 Speaker 1: Listeners know all of US could get together and we 98 00:06:42,640 --> 00:06:48,160 Speaker 1: could start you know, the American Association for stuff they 99 00:06:48,160 --> 00:06:51,360 Speaker 1: don't want you to know being known or something like that. Right, 100 00:06:51,760 --> 00:06:55,200 Speaker 1: and we could go, uh, we could do the following things. 101 00:06:55,680 --> 00:07:00,560 Speaker 1: UH take take lawmakers out to lunches is or to 102 00:07:00,800 --> 00:07:05,919 Speaker 1: galas two benefits on trips to persuade them that the 103 00:07:05,960 --> 00:07:10,400 Speaker 1: case we are making is the best case for the 104 00:07:10,560 --> 00:07:14,960 Speaker 1: US in some way, right. Uh. And and every industry 105 00:07:15,000 --> 00:07:18,120 Speaker 1: does this to some degree in there and and countries 106 00:07:18,200 --> 00:07:21,440 Speaker 1: do it as well. There are, for example, like the 107 00:07:21,520 --> 00:07:24,600 Speaker 1: n r A, you know, gun lobbyists short, yeah, or 108 00:07:24,680 --> 00:07:28,840 Speaker 1: oil lobbying groups or the a r P uh, the 109 00:07:28,880 --> 00:07:33,400 Speaker 1: Association Retired Persons. Uh. And this, this two point six 110 00:07:33,600 --> 00:07:36,720 Speaker 1: billion dollars is a huge slice of pie. Uh, there's 111 00:07:36,760 --> 00:07:39,240 Speaker 1: a huge slice of legal drug pie. And this is 112 00:07:39,280 --> 00:07:43,400 Speaker 1: not counting the money that drugmakers spend to influence doctors. 113 00:07:43,720 --> 00:07:48,320 Speaker 1: And again, since lobbying is not illegal, there's nothing inherently 114 00:07:48,520 --> 00:07:53,360 Speaker 1: criminal about these actions. It gets sticky pretty quickly because 115 00:07:54,680 --> 00:07:58,760 Speaker 1: legally speaking, a lobbyist can't just go up to UH 116 00:07:59,200 --> 00:08:04,640 Speaker 1: representatives Jane Nuion of you know, South Wisconsin or something 117 00:08:04,880 --> 00:08:12,680 Speaker 1: and say, Jane, here's eight hundred thousand dollars. Please vote, uh, 118 00:08:12,720 --> 00:08:17,520 Speaker 1: please vote against f DA regulation of this thing or 119 00:08:17,600 --> 00:08:20,320 Speaker 1: something that that is legally can't just give people money 120 00:08:20,360 --> 00:08:21,800 Speaker 1: and tell them to do that. But I have said 121 00:08:21,840 --> 00:08:24,280 Speaker 1: lobbies is like, hey, Jane, you want me to take 122 00:08:24,320 --> 00:08:26,720 Speaker 1: you out to a nice, nice lunch. We'll have some 123 00:08:26,840 --> 00:08:31,520 Speaker 1: chats over some martinis. Yeah, let's talk about campaign contributions. 124 00:08:31,960 --> 00:08:35,680 Speaker 1: Campaign contributions are one of the ways that money can 125 00:08:35,760 --> 00:08:40,840 Speaker 1: be donated. Right. So, if there is a real big pharma, 126 00:08:41,280 --> 00:08:43,280 Speaker 1: if we want to get past the umbrella term and 127 00:08:43,320 --> 00:08:46,480 Speaker 1: talk about what this actually is, then it's most likely 128 00:08:46,559 --> 00:08:52,040 Speaker 1: an association called the Pharmaceutical Research and Manufacturers of America. Right. 129 00:08:52,360 --> 00:08:56,320 Speaker 1: So this is basically a trade group that represents forty 130 00:08:56,360 --> 00:09:01,560 Speaker 1: eight of the leading biopharmaceutical researchers and biotechnolo g companies um. 131 00:09:02,440 --> 00:09:07,000 Speaker 1: Possibly the most notable victory of pharma was the two 132 00:09:07,040 --> 00:09:11,640 Speaker 1: thousand six Prescription Deal, which extended prescription coverage while actually 133 00:09:11,679 --> 00:09:16,840 Speaker 1: preventing the Medicare program from collectively bargaining for lower prices. Right, 134 00:09:16,960 --> 00:09:19,640 Speaker 1: And this stuff this stuff changed in the wake of 135 00:09:19,760 --> 00:09:23,600 Speaker 1: the Affordable Care Act, which for people outside of the 136 00:09:23,679 --> 00:09:26,680 Speaker 1: US might sound kind of arcane, but everyone in the 137 00:09:26,800 --> 00:09:30,599 Speaker 1: US is familiar with it. It's also been called Obamacare. 138 00:09:30,720 --> 00:09:34,839 Speaker 1: It's a romney mit romney helms program in Massachusetts that 139 00:09:34,920 --> 00:09:38,960 Speaker 1: was later taken to a national level by the Obama administration, 140 00:09:39,080 --> 00:09:42,680 Speaker 1: and it has a wealth of critics and a wealth 141 00:09:42,720 --> 00:09:46,040 Speaker 1: of supporters. I think it's a story for different show. 142 00:09:46,280 --> 00:09:52,360 Speaker 1: But the pharmaceutical industry definitely had input on this, you know, 143 00:09:52,480 --> 00:09:54,800 Speaker 1: and you can see articles from the Wall Street Journal 144 00:09:54,920 --> 00:10:00,360 Speaker 1: saying that the pharmaceutical companies made a benefit of like 145 00:10:00,600 --> 00:10:04,960 Speaker 1: thirty five billion dollars some other astronomical number from the 146 00:10:05,000 --> 00:10:08,360 Speaker 1: A c A or Obamacare there there. There is something 147 00:10:08,400 --> 00:10:10,000 Speaker 1: that we have to say at the top, though, because 148 00:10:10,040 --> 00:10:14,280 Speaker 1: we're gonna talk about a lot of murky, just diabolical 149 00:10:14,480 --> 00:10:18,120 Speaker 1: stuff here. So first I want to say there's no 150 00:10:18,400 --> 00:10:23,000 Speaker 1: question that research by scientists at pharmaceutical companies has led 151 00:10:23,040 --> 00:10:28,920 Speaker 1: to amazing breakthroughs curing or most often treating conditions that 152 00:10:29,000 --> 00:10:32,400 Speaker 1: a hundred or maybe even ten years ago would have 153 00:10:32,440 --> 00:10:34,880 Speaker 1: been a death sentence. So let's get that out of 154 00:10:34,880 --> 00:10:37,480 Speaker 1: the way first. We're talking about better treatments for cancer, 155 00:10:37,840 --> 00:10:44,800 Speaker 1: better treatments for sexual diseases, not necessarily cures, but treatments, 156 00:10:44,880 --> 00:10:47,920 Speaker 1: and one of the things that inspired you and I 157 00:10:48,120 --> 00:10:52,120 Speaker 1: to look at this today was Shawn's letter and other 158 00:10:52,160 --> 00:10:56,040 Speaker 1: comments from people on YouTube, Twitter, and Facebook. I'll go 159 00:10:56,040 --> 00:10:57,760 Speaker 1: ahead and put the plug in here. Now you can 160 00:10:57,840 --> 00:11:01,280 Speaker 1: follow us. We are a conspiracy stuff on all of 161 00:11:01,320 --> 00:11:04,040 Speaker 1: those and you'll you'll see episodes that may not make 162 00:11:04,080 --> 00:11:06,240 Speaker 1: it to the air for one reason or another or 163 00:11:06,280 --> 00:11:09,520 Speaker 1: topics so we talked about. You can also talk with 164 00:11:09,920 --> 00:11:14,200 Speaker 1: other listeners and you can suggest stuff to us directly. Anyhow, 165 00:11:14,280 --> 00:11:16,160 Speaker 1: one of the things that inspired us to look at 166 00:11:16,200 --> 00:11:20,040 Speaker 1: this was the recent news report, which I guess we 167 00:11:20,080 --> 00:11:23,160 Speaker 1: should mention, but we'll get into later, right, the case 168 00:11:23,240 --> 00:11:29,600 Speaker 1: of the pharmaceutical startup tycoon. Yeah, the farmer bro. Is 169 00:11:29,600 --> 00:11:32,920 Speaker 1: that what they're calling him on Twitter? Oh Man? Uh 170 00:11:33,080 --> 00:11:37,959 Speaker 1: Martin Screlly Yeah, and uh I heard you off air 171 00:11:38,040 --> 00:11:40,240 Speaker 1: jokingly refer to him as Shrek. Well, you know, he's 172 00:11:40,280 --> 00:11:45,320 Speaker 1: a bit of an ogre oh Man Scado indeed. All right, 173 00:11:45,400 --> 00:11:50,240 Speaker 1: So there are critics of big pharma, and they often 174 00:11:50,320 --> 00:11:53,800 Speaker 1: fall into one of several camps. First, there are the 175 00:11:53,880 --> 00:11:56,040 Speaker 1: people that, if we're going to make up a name 176 00:11:56,080 --> 00:11:59,800 Speaker 1: for him, I would call them suppression adherents. These are 177 00:12:00,000 --> 00:12:04,240 Speaker 1: people believe that pharmaceutical companies have something like secret treatments 178 00:12:04,320 --> 00:12:07,960 Speaker 1: or even a secret cure for everything from cancer to lekemia, 179 00:12:08,240 --> 00:12:12,960 Speaker 1: HIV other chronic terminal conditions, but have covered up this 180 00:12:13,080 --> 00:12:16,920 Speaker 1: knowledge in the interests of continuing to make money off 181 00:12:16,960 --> 00:12:19,920 Speaker 1: halfless consumers. When I was reading Shawn's letter at the 182 00:12:19,960 --> 00:12:23,000 Speaker 1: top of the podcast, um, you know, he obviously mentioned 183 00:12:23,240 --> 00:12:27,600 Speaker 1: this idea of you know, drug companies having these secret 184 00:12:27,600 --> 00:12:30,520 Speaker 1: cures and holding them back, um because it benefits them 185 00:12:30,559 --> 00:12:32,840 Speaker 1: more to be able to continue to treat these existing 186 00:12:32,840 --> 00:12:35,640 Speaker 1: diseases rather than to cure them. And it occurred to 187 00:12:35,640 --> 00:12:37,920 Speaker 1: me that there's an interesting parallel between that and the 188 00:12:37,960 --> 00:12:43,040 Speaker 1: idea that, like, technology companies already have a million terabyte 189 00:12:43,080 --> 00:12:45,240 Speaker 1: hard drive that they have developed that they're just you know, 190 00:12:45,280 --> 00:12:47,840 Speaker 1: sitting on because why roll that out when they can 191 00:12:47,880 --> 00:12:50,600 Speaker 1: just keep selling us one terabyte hard drive for you know, 192 00:12:50,679 --> 00:12:53,280 Speaker 1: two hundred bucks or something like that, right yeah. Or 193 00:12:53,360 --> 00:12:57,680 Speaker 1: this also maybe ties into alternative energy ideas, the concept 194 00:12:57,679 --> 00:13:01,040 Speaker 1: that there is a water powered car, or there is 195 00:13:01,320 --> 00:13:05,800 Speaker 1: a even consumer products like a toothpaste you only have 196 00:13:05,920 --> 00:13:09,560 Speaker 1: to apply once, or something some serious like Willie Wonka stuff, 197 00:13:09,720 --> 00:13:13,120 Speaker 1: right yes, uh when and I will I will add 198 00:13:13,200 --> 00:13:15,960 Speaker 1: that this is just my opinion, but I feel like 199 00:13:15,960 --> 00:13:21,000 Speaker 1: there's strong circumstantial evidence that there is on some level 200 00:13:21,160 --> 00:13:27,080 Speaker 1: at least classify technology several years in advance of what 201 00:13:27,160 --> 00:13:30,560 Speaker 1: the public has access to, especially in the aerospace field, 202 00:13:31,280 --> 00:13:36,840 Speaker 1: especially in in military applications. Now, does that go all 203 00:13:36,880 --> 00:13:40,520 Speaker 1: the way down to drugs? Are there miracle cures that 204 00:13:41,240 --> 00:13:45,400 Speaker 1: only a select few of the world's population have access to. 205 00:13:46,160 --> 00:13:48,880 Speaker 1: We're gonna look at that in a little more detail. 206 00:13:49,200 --> 00:13:54,319 Speaker 1: That's one of the biggest, most consistent classifications of conspiracy 207 00:13:54,360 --> 00:13:57,520 Speaker 1: theories we hear about big pharma. This is another one. 208 00:13:57,600 --> 00:13:58,840 Speaker 1: If I was going to make up a term for 209 00:13:58,840 --> 00:14:01,640 Speaker 1: these folks, know, I would call them the invention theorists, 210 00:14:02,280 --> 00:14:05,480 Speaker 1: taking it a step further and arguing that pharmaceutical companies 211 00:14:05,720 --> 00:14:11,319 Speaker 1: are not just suppressing cures, but actually inventing new diseases, 212 00:14:11,520 --> 00:14:14,200 Speaker 1: either by renaming them to make them sound more serious, 213 00:14:14,520 --> 00:14:19,120 Speaker 1: or by creating new ones and spreading them through the population. 214 00:14:19,640 --> 00:14:25,360 Speaker 1: An arguable example of this is called restless leg syndrome. 215 00:14:25,560 --> 00:14:29,560 Speaker 1: I definitely got that got restless leg syndrome right now? Yeah, 216 00:14:30,000 --> 00:14:32,840 Speaker 1: I mean after a couple of drinks, I have a 217 00:14:32,880 --> 00:14:37,200 Speaker 1: serious case of happy feet for sure. Uh And I'm 218 00:14:37,280 --> 00:14:41,600 Speaker 1: under the impression that I could both whip and I 219 00:14:41,640 --> 00:14:46,400 Speaker 1: believe that you could really have faith in your ability. 220 00:14:46,480 --> 00:14:48,480 Speaker 1: I really feel like it will be a personal failing 221 00:14:48,520 --> 00:14:51,440 Speaker 1: on both our parts if I ever get to that position. 222 00:14:51,520 --> 00:14:54,640 Speaker 1: And let's hope there's not a camera around. But this, 223 00:14:54,640 --> 00:14:58,720 Speaker 1: this idea is this idea will be familiar to a 224 00:14:58,720 --> 00:15:01,240 Speaker 1: lot of people in the u US when you'll notice 225 00:15:01,320 --> 00:15:08,160 Speaker 1: the prevalence of uh prevalence of vaguely named drugs that 226 00:15:08,200 --> 00:15:13,280 Speaker 1: are meant to treat mental or emotional conditions that in 227 00:15:13,320 --> 00:15:16,440 Speaker 1: the past would not have would not have been treated. 228 00:15:16,520 --> 00:15:21,160 Speaker 1: It might be specific, but without going into that yet, 229 00:15:21,240 --> 00:15:23,480 Speaker 1: we'll just say that that's another group. So they are 230 00:15:23,480 --> 00:15:26,200 Speaker 1: the people who think things are being suppressed, cures are 231 00:15:26,240 --> 00:15:28,960 Speaker 1: being suppressed, and a group of people who think either 232 00:15:29,080 --> 00:15:33,680 Speaker 1: fake diseases or being marketed or real diseases are being spread. 233 00:15:34,000 --> 00:15:36,600 Speaker 1: And there's another one. And Matt, I know you're listening 234 00:15:36,600 --> 00:15:38,560 Speaker 1: to this man, this will be your favorite one. The 235 00:15:38,600 --> 00:15:41,760 Speaker 1: political theories, the idea that big farm has purchased the 236 00:15:41,800 --> 00:15:45,840 Speaker 1: conscience and the vote of allegedly elected representatives, using them 237 00:15:45,840 --> 00:15:49,760 Speaker 1: to force industry friendly laws through at the expense of 238 00:15:49,800 --> 00:15:55,720 Speaker 1: the American public. In other words, putting profits over people. No, well, 239 00:15:55,760 --> 00:15:58,040 Speaker 1: those are like, those are some of the accusations. So 240 00:15:58,160 --> 00:16:01,760 Speaker 1: let's talk about some of the truth stories, right. So, 241 00:16:02,160 --> 00:16:06,200 Speaker 1: aside from the recent news, history is absolutely filled with 242 00:16:06,720 --> 00:16:11,640 Speaker 1: these kinds of shenanigans. Here are some actual examples of illegal, corrupt, 243 00:16:12,720 --> 00:16:16,720 Speaker 1: and or unethical things pharmaceutical companies have done in the past. 244 00:16:17,000 --> 00:16:19,800 Speaker 1: Oh yeah, let me set you up for this. So, 245 00:16:20,000 --> 00:16:26,000 Speaker 1: how does pharma actually influenced legislation? That's a tough one, 246 00:16:26,400 --> 00:16:29,640 Speaker 1: but the answer to that question lies partially with the 247 00:16:29,680 --> 00:16:34,440 Speaker 1: American Legislative Exchange Council or ALEC a l e C. ALEC, 248 00:16:34,520 --> 00:16:38,760 Speaker 1: like Baldwin indeed strong chin that one. So this secretive 249 00:16:38,760 --> 00:16:43,240 Speaker 1: group basically connects private interests and lawmakers to approve what 250 00:16:43,320 --> 00:16:47,120 Speaker 1: are called model bills, and these model bills reflect the 251 00:16:47,200 --> 00:16:51,960 Speaker 1: desires of the parties involved. Um. Yeah. So defenders of 252 00:16:52,040 --> 00:16:55,880 Speaker 1: ALEC say that it provides a forum for legislative and 253 00:16:56,000 --> 00:17:00,680 Speaker 1: industrial partnership, but critics say that it's not so much 254 00:17:00,680 --> 00:17:03,720 Speaker 1: the case that the public is basically completely cut out 255 00:17:03,760 --> 00:17:07,320 Speaker 1: of the entire process. So like a smaller version than 256 00:17:07,680 --> 00:17:12,000 Speaker 1: of the t p P. So there, it's true, these 257 00:17:12,080 --> 00:17:18,080 Speaker 1: these model bills are not necessarily intended. And I hope 258 00:17:18,119 --> 00:17:21,000 Speaker 1: you guys can hear the air quotes I'm laying down 259 00:17:21,040 --> 00:17:26,480 Speaker 1: thick over there not necessarily intended. Yeah, figure too to 260 00:17:26,760 --> 00:17:31,720 Speaker 1: become the verbatim bill, but or the verbatim law rather, 261 00:17:32,160 --> 00:17:36,320 Speaker 1: But several legislatures have introduced bills that can be traced 262 00:17:36,600 --> 00:17:41,280 Speaker 1: directly back to meetings of ALEC. But Pharma and again 263 00:17:41,359 --> 00:17:44,600 Speaker 1: that's just our shorthand for pharmaceutical Research and Manufacturers of 264 00:17:44,640 --> 00:17:48,280 Speaker 1: America does contribute to ALEC, and it is and we 265 00:17:48,359 --> 00:17:53,960 Speaker 1: know this because it is legally bound to disclose this spending. ALEC, however, 266 00:17:54,480 --> 00:17:57,160 Speaker 1: is not bound by the same laws. In fact, ALEX 267 00:17:57,240 --> 00:18:02,959 Speaker 1: membership list is secret. And big pharmaceutical associations don't just 268 00:18:03,160 --> 00:18:06,800 Speaker 1: keep their spending to the hallowed halls of Congress right now, 269 00:18:07,160 --> 00:18:11,080 Speaker 1: not at all. Been Uh. These companies actually interact directly 270 00:18:11,320 --> 00:18:16,280 Speaker 1: and pretty extensively with physicians, um, basically incentivizing them to 271 00:18:16,440 --> 00:18:21,320 Speaker 1: recommend specific brand name drugs. Right. Yeah, It's it's funny. 272 00:18:21,440 --> 00:18:24,120 Speaker 1: Have you ever been in a hospital knoll or in 273 00:18:24,160 --> 00:18:28,840 Speaker 1: the doctor's office when a pharmacy rep comes through with 274 00:18:28,880 --> 00:18:31,520 Speaker 1: all their pens and their mouse pads. Yeah, their swag 275 00:18:31,640 --> 00:18:35,440 Speaker 1: and they look like models or something. They travel around 276 00:18:35,720 --> 00:18:41,880 Speaker 1: convincing various doctors medical professionals that name brand drug X 277 00:18:42,480 --> 00:18:47,080 Speaker 1: is superior and should be prescribed for the following conditions 278 00:18:47,119 --> 00:18:50,240 Speaker 1: aggressively and assertively. So and it goes beyond that too, 279 00:18:50,280 --> 00:18:54,680 Speaker 1: because there's a process used called ghostwriting, and ghostwriting is 280 00:18:54,720 --> 00:18:59,520 Speaker 1: a really weird thing. So these companies would pay a 281 00:18:59,680 --> 00:19:03,360 Speaker 1: doctor and say, hey, let's say you're a doctor, Neil, 282 00:19:03,400 --> 00:19:07,639 Speaker 1: what kind of doctor are you? I'm a doctor of funk. No, 283 00:19:07,840 --> 00:19:12,000 Speaker 1: I'm kidding, um, I'm an oncologist. You're an oncologist. So 284 00:19:12,320 --> 00:19:16,280 Speaker 1: they would say, we have this perfect drug coming out 285 00:19:16,960 --> 00:19:19,679 Speaker 1: and it's gonna be it's gonna be coming out in 286 00:19:19,840 --> 00:19:22,760 Speaker 1: the next six months or it's been out for six months, 287 00:19:22,800 --> 00:19:27,600 Speaker 1: and we want to spread the words. So Dr Brown, uh, 288 00:19:27,840 --> 00:19:30,960 Speaker 1: you agree with us? Right, we're at dinner. Now you 289 00:19:31,040 --> 00:19:35,160 Speaker 1: agree with us that this is a superior treatment. Well 290 00:19:35,160 --> 00:19:37,960 Speaker 1: that depends. Can't I get the Crime Bruley? You can 291 00:19:38,040 --> 00:19:42,040 Speaker 1: have Crime Bruley for here and to go. I'm on board. 292 00:19:42,040 --> 00:19:44,960 Speaker 1: Sign me up. Great, here's the best thing. We want 293 00:19:44,960 --> 00:19:46,879 Speaker 1: you to write a review and we want it to 294 00:19:46,920 --> 00:19:49,399 Speaker 1: go like this, at which point they hand the review 295 00:19:49,440 --> 00:19:51,640 Speaker 1: that they've already written there, and they say, and we're 296 00:19:51,680 --> 00:19:54,760 Speaker 1: just gonna put Dr Brown according to Dr Brown, lead 297 00:19:54,800 --> 00:19:59,120 Speaker 1: oncologist at ex Hospital. And then this glowing review happens, 298 00:19:59,160 --> 00:20:05,040 Speaker 1: and we've used your name. Nothing weird about that, Yeah, no, 299 00:20:05,119 --> 00:20:08,600 Speaker 1: I know. Ten doctors agree crimberly at the restaurant and 300 00:20:08,680 --> 00:20:13,800 Speaker 1: to go is awesome, visa v This drug is awesome, right. 301 00:20:14,160 --> 00:20:16,679 Speaker 1: And you know this might sound strange to some of 302 00:20:16,680 --> 00:20:21,040 Speaker 1: our listeners outside of the US, but televised ads for 303 00:20:21,119 --> 00:20:25,400 Speaker 1: prescription drugs are a common thing in US channels, US 304 00:20:25,440 --> 00:20:30,280 Speaker 1: TV channels, and and we commonly bizarre, Yeah, commonly bizarre 305 00:20:30,359 --> 00:20:32,760 Speaker 1: because legally there's a lot of stuff they can't say. 306 00:20:32,840 --> 00:20:36,040 Speaker 1: How would you describe one of those ads? So it's 307 00:20:36,080 --> 00:20:40,199 Speaker 1: sort of like this weird trippy Alice in Wonderland vibe 308 00:20:40,200 --> 00:20:43,560 Speaker 1: where there's somebody prancing through a meadow, you know, just 309 00:20:43,680 --> 00:20:49,640 Speaker 1: feeling good, just just colors, lots of pastels, there's butterflies everywhere, 310 00:20:49,680 --> 00:20:52,720 Speaker 1: the sun is shining. There, maybe children playing in a playground. 311 00:20:52,760 --> 00:20:56,520 Speaker 1: There's probably instrumental music. You don't really hear the people talking, 312 00:20:56,960 --> 00:21:01,080 Speaker 1: probably like some slow motion reaction shots of happy smiling 313 00:21:01,119 --> 00:21:04,800 Speaker 1: face and laughing. Yes, like the vague, vague, vague, vague 314 00:21:04,880 --> 00:21:08,560 Speaker 1: voiceover just about just you want to be happy, right 315 00:21:08,600 --> 00:21:10,880 Speaker 1: and you want to feel good about yourself and your 316 00:21:10,920 --> 00:21:13,480 Speaker 1: loved ones, don't you. You want to get the most 317 00:21:13,600 --> 00:21:16,800 Speaker 1: out of every day on this planet. And then the 318 00:21:16,880 --> 00:21:20,320 Speaker 1: voiceover was shift right over to the name of the drug, 319 00:21:20,520 --> 00:21:25,520 Speaker 1: which would be like heliometrics, and and they'll they'll say, 320 00:21:25,560 --> 00:21:29,040 Speaker 1: ask your doctor if heliometrics is right for you, without 321 00:21:29,080 --> 00:21:31,960 Speaker 1: really naming a lot of the symptoms till the very 322 00:21:32,119 --> 00:21:35,320 Speaker 1: end where there is tiny, tiny fine print, uh, something 323 00:21:35,359 --> 00:21:40,920 Speaker 1: that our lead sponsor, Illumination Global Unlimited, is legally required 324 00:21:40,960 --> 00:21:45,160 Speaker 1: to do them. You know. They they are still around. 325 00:21:45,960 --> 00:21:49,320 Speaker 1: They I I don't know. They contact us when they 326 00:21:49,359 --> 00:21:51,679 Speaker 1: want to contact us. They don't even use email. They 327 00:21:51,800 --> 00:21:55,879 Speaker 1: just slip an envelope under the door. One time that 328 00:21:56,119 --> 00:21:59,720 Speaker 1: was volunteering in a nursing home and they just sent 329 00:21:59,800 --> 00:22:02,720 Speaker 1: one of the residents of the nursing home to tell 330 00:22:02,800 --> 00:22:06,679 Speaker 1: me what our next ad campaign just gonna uh huh. 331 00:22:06,840 --> 00:22:10,840 Speaker 1: It turned around and she was gone, yeah, So you know, 332 00:22:11,920 --> 00:22:15,920 Speaker 1: que the smalty ultra music, ask your doctor if the 333 00:22:15,920 --> 00:22:18,120 Speaker 1: heleometrics is right for you. Side effects may include drowsyness, 334 00:22:18,119 --> 00:22:22,040 Speaker 1: business nauseais, chap nation, weird, shoe footedness, wrong headedness, who knows, 335 00:22:22,040 --> 00:22:26,600 Speaker 1: one knows, scro double think of brain fever, consumption, sold deaf, squamishness, impertinence, 336 00:22:26,600 --> 00:22:32,160 Speaker 1: in continence, offensive punctuality, offensive punctuation, punctuad grammar America. Yeah, 337 00:22:32,160 --> 00:22:34,000 Speaker 1: that kind of stuff. Yeah, you know now that, now 338 00:22:34,080 --> 00:22:36,000 Speaker 1: that I hear it, that that's spot on. But it 339 00:22:36,040 --> 00:22:41,320 Speaker 1: sounds a little silly, ladies and gentlemen. We mentioned this, 340 00:22:41,359 --> 00:22:43,560 Speaker 1: I think in our Legal Drugs podcast. But the US 341 00:22:43,600 --> 00:22:46,879 Speaker 1: accounts for about five percent in the world's population and 342 00:22:46,920 --> 00:22:50,480 Speaker 1: also forty two percent of the money spent on prescription drugs. 343 00:22:50,560 --> 00:22:53,800 Speaker 1: That statistic can be a little bit strange because these 344 00:22:53,840 --> 00:22:56,840 Speaker 1: drugs are often much more expensive in the US than 345 00:22:56,880 --> 00:23:00,800 Speaker 1: they are in other countries. And uh, let talk about 346 00:23:01,840 --> 00:23:04,520 Speaker 1: let's talk about this idea that there was a propagation 347 00:23:04,720 --> 00:23:10,880 Speaker 1: of disease, or that these false diseases were created and marketed. Right, 348 00:23:11,080 --> 00:23:14,280 Speaker 1: tell me more. Oh good, I'd love to so Bear. 349 00:23:14,440 --> 00:23:19,679 Speaker 1: Everybody's familiar with Bear, maybe through aspirin sprint. Yeah, Bear 350 00:23:19,880 --> 00:23:25,280 Speaker 1: did sell HIV tainted medicine, and so millions of dollars 351 00:23:25,280 --> 00:23:30,120 Speaker 1: worth of an injectable blood clotting medicine called Factor eight concentrate, 352 00:23:30,200 --> 00:23:34,720 Speaker 1: which is intended for hemophiliacs to Asian, Latin, American, and 353 00:23:34,880 --> 00:23:39,199 Speaker 1: European countries. In the mid nineteen eighties, the company stopped 354 00:23:39,200 --> 00:23:43,359 Speaker 1: selling the drug in the US, but continued selling it 355 00:23:43,520 --> 00:23:48,000 Speaker 1: overseas for another year. And so how did this happen? 356 00:23:48,080 --> 00:23:52,360 Speaker 1: How did this become tainted? The medicine in question here 357 00:23:52,480 --> 00:23:56,639 Speaker 1: was made using combined plasma from large numbers of donors 358 00:23:57,000 --> 00:24:00,240 Speaker 1: um so at the time there was absolutely no screening 359 00:24:00,240 --> 00:24:02,840 Speaker 1: test for the AIDS virus, so a tiny number of 360 00:24:02,840 --> 00:24:07,800 Speaker 1: donors with AIDS could potentially contaminate a large batch right 361 00:24:08,000 --> 00:24:11,240 Speaker 1: and reports say that, although the worldwide numbers are difficult 362 00:24:11,240 --> 00:24:14,240 Speaker 1: to calculate, in Hong Kong and Taiwan alone, more than 363 00:24:14,280 --> 00:24:19,679 Speaker 1: one hemophiliacs contracted HIV after using this medicine, most of 364 00:24:19,720 --> 00:24:23,680 Speaker 1: whom have died. But in May of nine five, Dr 365 00:24:23,800 --> 00:24:28,520 Speaker 1: Harry M. Meyer Jr. The f d a's blood products official, 366 00:24:29,119 --> 00:24:31,880 Speaker 1: called the companies to a meeting, believing that they had 367 00:24:31,920 --> 00:24:35,480 Speaker 1: broken an agreement to stop selling the old medicine, and this, 368 00:24:35,560 --> 00:24:38,640 Speaker 1: according to an article in New York Times, but Meyer 369 00:24:38,760 --> 00:24:42,520 Speaker 1: decided to handle the matter quietly. Instead of letting the 370 00:24:42,560 --> 00:24:45,639 Speaker 1: public know. Yeah, I wouldn't want anybody to get in 371 00:24:45,680 --> 00:24:48,920 Speaker 1: a panic about a little thing like a lethal disease, 372 00:24:49,600 --> 00:24:55,480 Speaker 1: which at the time AIDS was HIV was so that 373 00:24:55,480 --> 00:25:00,320 Speaker 1: that is a scary, real life situation. There's a another 374 00:25:00,359 --> 00:25:03,920 Speaker 1: book that you may enjoy if you haven't read it before, Believe, 375 00:25:04,000 --> 00:25:08,440 Speaker 1: called The River, in which the author details the genesis 376 00:25:08,480 --> 00:25:12,240 Speaker 1: of AIDS and how it's spread, and they allege that 377 00:25:13,320 --> 00:25:18,760 Speaker 1: they allege that pharmaceutical companies knowingly sold or experimented with 378 00:25:18,880 --> 00:25:23,280 Speaker 1: tainted batches of product on populations in sub Saharan Africa, 379 00:25:23,760 --> 00:25:29,120 Speaker 1: which sparked the rise of the HIV epidemic. It's it's 380 00:25:29,160 --> 00:25:34,480 Speaker 1: important to note that that is not consider the specific 381 00:25:34,680 --> 00:25:39,040 Speaker 1: genesis like it's not universally agreed. People are still arguing 382 00:25:39,080 --> 00:25:41,600 Speaker 1: over how this, how this happened. But you will often 383 00:25:41,760 --> 00:25:46,800 Speaker 1: hear pharmaceutical companies being being accused of this, not not 384 00:25:46,920 --> 00:25:50,960 Speaker 1: so much through some sort of purposeful thing, as either 385 00:25:51,160 --> 00:25:54,760 Speaker 1: trying as either trying to save money or being you know, 386 00:25:54,840 --> 00:26:01,520 Speaker 1: fiscally corrupt or incompetent. How do we know that Bear 387 00:26:01,680 --> 00:26:04,960 Speaker 1: knew that the HIV was in the medicine, and yet 388 00:26:04,960 --> 00:26:06,800 Speaker 1: they continued to sell it. I just don't understand how 389 00:26:06,840 --> 00:26:10,199 Speaker 1: a company of that magnitude A could come back from 390 00:26:10,240 --> 00:26:13,719 Speaker 1: a scandal like this and be good Lord. Must they 391 00:26:13,720 --> 00:26:16,199 Speaker 1: not have had a cracker jack pr team that I 392 00:26:16,240 --> 00:26:19,840 Speaker 1: have never heard of the story prior to researching this topic, right, 393 00:26:19,960 --> 00:26:21,760 Speaker 1: I mean when I think of Bear, I just think 394 00:26:21,800 --> 00:26:24,360 Speaker 1: of a little aspirin from a headache, you know, That's 395 00:26:24,359 --> 00:26:27,040 Speaker 1: all I think of. Well, in two thousand and six, 396 00:26:27,119 --> 00:26:28,960 Speaker 1: and it's a great question. Two thousand and six that 397 00:26:29,080 --> 00:26:34,399 Speaker 1: were documents that were unearthed showing that they knew it 398 00:26:34,680 --> 00:26:39,359 Speaker 1: had the high likelihood of being tainted with with aids. 399 00:26:39,520 --> 00:26:43,479 Speaker 1: They knew they could no longer sell it in the US. Uh. 400 00:26:43,520 --> 00:26:46,159 Speaker 1: The dangers of the drug have become well known in 401 00:26:46,200 --> 00:26:49,960 Speaker 1: the US market, but that news was slower to reach 402 00:26:50,040 --> 00:26:54,239 Speaker 1: other parts of the world. And it does from what 403 00:26:54,280 --> 00:26:57,680 Speaker 1: we see, it does seem that FDA regulators did collude 404 00:26:57,720 --> 00:27:01,680 Speaker 1: to keep the continued sales hidden, UH, so that this 405 00:27:01,720 --> 00:27:05,720 Speaker 1: could be solved without alerting Congress, the medical community, and 406 00:27:05,760 --> 00:27:07,720 Speaker 1: the public. And these are according to minutes of a 407 00:27:07,880 --> 00:27:13,040 Speaker 1: night five meeting between the FDA and Bear. Yeah. So 408 00:27:13,040 --> 00:27:16,480 Speaker 1: I mean to me, this occurs to me as being 409 00:27:16,680 --> 00:27:21,359 Speaker 1: like an example, another example of two cozy relationships, whether 410 00:27:21,400 --> 00:27:24,600 Speaker 1: it's between drug companies and the FDA regulators they're supposed 411 00:27:24,640 --> 00:27:28,840 Speaker 1: to oversee them, or for example, you know, large banks 412 00:27:28,920 --> 00:27:32,240 Speaker 1: and the SEC regulators that are supposedly, you know, supposed 413 00:27:32,280 --> 00:27:37,040 Speaker 1: to keep them acting correctly. Um is is that it's 414 00:27:37,080 --> 00:27:40,280 Speaker 1: a similar Yeah, that's a very nice parallel because or 415 00:27:40,320 --> 00:27:45,040 Speaker 1: it's a disturbing parallel, but possibly accurate. It's nice because 416 00:27:45,119 --> 00:27:49,040 Speaker 1: it does show, you know, how how close an industry 417 00:27:49,359 --> 00:27:53,280 Speaker 1: and the government institution designed to regulate it will happen. Now. 418 00:27:53,359 --> 00:27:56,639 Speaker 1: I know we have a lot of listeners who object 419 00:27:56,720 --> 00:28:00,879 Speaker 1: to the concept of a large government right of whether 420 00:28:00,960 --> 00:28:04,560 Speaker 1: federal or whether one world. And I completely I completely 421 00:28:04,640 --> 00:28:08,680 Speaker 1: understand in many cases in the case of things like 422 00:28:09,160 --> 00:28:13,600 Speaker 1: the Food and Drug Administration, however, that has provided in 423 00:28:13,680 --> 00:28:18,240 Speaker 1: the past, especially much needed food safety things. You know, 424 00:28:18,320 --> 00:28:22,560 Speaker 1: food safety regulations are an important thing to have because 425 00:28:22,640 --> 00:28:25,760 Speaker 1: if there is not some sort of standard, then we 426 00:28:25,800 --> 00:28:28,719 Speaker 1: could easily end up in a situation like Upton Sinclair's 427 00:28:28,760 --> 00:28:33,480 Speaker 1: The Jungle, which is a very gruesome, gruesome story about 428 00:28:33,640 --> 00:28:36,560 Speaker 1: I was going to say gross, yeah, gross, and grewsome 429 00:28:36,640 --> 00:28:40,480 Speaker 1: story about the meat packing industry. However, uh, the thing 430 00:28:40,520 --> 00:28:43,480 Speaker 1: about this regulation, and I agree with that a lot 431 00:28:43,480 --> 00:28:46,880 Speaker 1: of people object to as well is the concept that 432 00:28:48,080 --> 00:28:54,280 Speaker 1: if the people who work for the watchmen are later 433 00:28:54,440 --> 00:28:57,480 Speaker 1: being hired to work for the people being watched or 434 00:28:57,520 --> 00:29:00,400 Speaker 1: come from that industry, you know, the r human is 435 00:29:00,440 --> 00:29:05,400 Speaker 1: always that a certain level of expertise and experience should 436 00:29:05,400 --> 00:29:07,840 Speaker 1: be the deciding factor. And it and it may be 437 00:29:07,920 --> 00:29:11,240 Speaker 1: true the advocates of this practice argue that you need 438 00:29:11,320 --> 00:29:15,320 Speaker 1: to have industry experts. But then the opponents of this 439 00:29:15,400 --> 00:29:19,440 Speaker 1: practice will say, well, really, what we're doing is inventing 440 00:29:19,480 --> 00:29:24,959 Speaker 1: a revolving door where someone can, as a regulatory power 441 00:29:25,440 --> 00:29:30,080 Speaker 1: make laws that will benefit them, specifically them later when 442 00:29:30,080 --> 00:29:32,600 Speaker 1: they enter private industry. And I mean, I'm sure there's 443 00:29:32,720 --> 00:29:35,680 Speaker 1: some amount of well, if this person used to work 444 00:29:35,720 --> 00:29:38,680 Speaker 1: for the regulatory body and now they work for us, 445 00:29:39,160 --> 00:29:40,640 Speaker 1: they can probably give us a little bit of the 446 00:29:40,680 --> 00:29:43,960 Speaker 1: scoop on some of the machinations of the regulatory body. Yeah, 447 00:29:43,960 --> 00:29:46,320 Speaker 1: that's a good point. You know, how how far does 448 00:29:46,360 --> 00:29:49,400 Speaker 1: it go? With a little background on bear just to 449 00:29:49,480 --> 00:29:54,720 Speaker 1: say you asked specifically about how this occurred. So it 450 00:29:54,840 --> 00:30:01,480 Speaker 1: wasn't reported as widely in US media, but French and 451 00:30:01,520 --> 00:30:04,320 Speaker 1: Italian news media we're reporting a lot of this. In 452 00:30:04,400 --> 00:30:08,280 Speaker 1: two thousand eleven, Bear just paid, had paid tens of 453 00:30:08,320 --> 00:30:14,200 Speaker 1: millions of dollars to end this scandal because here's how 454 00:30:14,200 --> 00:30:18,520 Speaker 1: it happened. So two thousand eleven, Bear starts compensating people 455 00:30:19,040 --> 00:30:21,520 Speaker 1: they got AIDS because in the nineteen eighties, a thing 456 00:30:21,560 --> 00:30:25,880 Speaker 1: called the Cutter biological unit of Bear ignored a federal 457 00:30:26,000 --> 00:30:31,200 Speaker 1: law against recruiting prisoners IVY drug users, you know, intravenous 458 00:30:31,680 --> 00:30:34,760 Speaker 1: UH and what they call high risk in terms of 459 00:30:34,800 --> 00:30:37,880 Speaker 1: sexual activity people as donors of the blood that they 460 00:30:38,000 --> 00:30:41,040 Speaker 1: used to make this factor eight UH, and that's the 461 00:30:41,040 --> 00:30:46,040 Speaker 1: clotting product that keeps him ophiliacs from bleeding out. So 462 00:30:46,680 --> 00:30:51,120 Speaker 1: they're paying UH. They along with three other labs, were 463 00:30:51,200 --> 00:30:55,120 Speaker 1: forced to pay tens of millions of euros to people 464 00:30:55,320 --> 00:30:59,280 Speaker 1: who could trace the transmission of HIV to this treatment. 465 00:31:00,160 --> 00:31:04,040 Speaker 1: So UH. Bear and the US company Baxter the two 466 00:31:04,040 --> 00:31:08,400 Speaker 1: main parties to the agreement. A company spokesperson said that, however, 467 00:31:08,560 --> 00:31:12,040 Speaker 1: the company accepts no responsibility in this case and continues 468 00:31:12,080 --> 00:31:17,240 Speaker 1: to insist that has always acted responsibly and ethically. So 469 00:31:18,520 --> 00:31:21,280 Speaker 1: coursing is something that you can see often occurring with 470 00:31:21,680 --> 00:31:24,160 Speaker 1: companies of this magnitude where they say, okay, we will 471 00:31:24,240 --> 00:31:27,280 Speaker 1: pay to we will pay to resolve this case. We 472 00:31:27,280 --> 00:31:30,080 Speaker 1: will admit no but no direct faults. We admit no 473 00:31:30,240 --> 00:31:35,120 Speaker 1: direct fault. The estimated number, even though again it's difficult 474 00:31:35,120 --> 00:31:38,640 Speaker 1: to estimate, is about twenty people contracted HIV from this. 475 00:31:39,240 --> 00:31:42,240 Speaker 1: It's insane to me, it is it is insane and 476 00:31:42,280 --> 00:31:44,120 Speaker 1: it's uh and again I mean, like I said, what 477 00:31:44,120 --> 00:31:46,840 Speaker 1: what is the most insane to me? As a consumer 478 00:31:46,880 --> 00:31:49,479 Speaker 1: of media and as someone who you know, reads up 479 00:31:49,480 --> 00:31:51,120 Speaker 1: on this kind of stuff. I just had never heard 480 00:31:51,160 --> 00:31:53,280 Speaker 1: of this before, and that this mind blowing to me, 481 00:31:53,760 --> 00:31:56,760 Speaker 1: Like how much money you must a company like this 482 00:31:56,880 --> 00:31:59,840 Speaker 1: have to be able to pretty successfully sweep something like 483 00:31:59,840 --> 00:32:01,640 Speaker 1: this under the rug to the point where you know, 484 00:32:01,720 --> 00:32:05,440 Speaker 1: it's just not like the only image that you associate 485 00:32:05,480 --> 00:32:08,800 Speaker 1: with this company. Well yeah, again, they stopped selling this 486 00:32:08,880 --> 00:32:13,080 Speaker 1: product in the US, so it was maybe older news 487 00:32:13,240 --> 00:32:16,080 Speaker 1: or it was less likely to directly affect people in 488 00:32:16,120 --> 00:32:20,280 Speaker 1: the US market. So that is a seed of truth 489 00:32:20,840 --> 00:32:23,960 Speaker 1: to these things. When when we hear a lot of 490 00:32:24,000 --> 00:32:27,080 Speaker 1: the on we hear a lot of conspiratorial rumors and stuff. 491 00:32:27,120 --> 00:32:29,960 Speaker 1: The thing to find is whether there is a seed 492 00:32:30,000 --> 00:32:33,840 Speaker 1: of truth, right, whether there is a a shining note 493 00:32:34,480 --> 00:32:38,840 Speaker 1: of veracity in the hay stack of bs that so 494 00:32:38,920 --> 00:32:42,640 Speaker 1: often is the internet. Uh, And that's not my most 495 00:32:42,720 --> 00:32:47,040 Speaker 1: graceful comparison there. But let's go to the idea of 496 00:32:47,080 --> 00:32:50,360 Speaker 1: withholding a cure, because Sean, that's exactly what you asked about. 497 00:32:50,480 --> 00:32:54,120 Speaker 1: At this point, it's hard to find a specific proven 498 00:32:54,200 --> 00:32:58,600 Speaker 1: case of a company completely suppressing a cure. And the 499 00:32:58,640 --> 00:33:01,280 Speaker 1: reason it's hard to find that is that we we 500 00:33:01,360 --> 00:33:05,520 Speaker 1: see instead, we see a lot of people saying, uh, 501 00:33:05,680 --> 00:33:08,760 Speaker 1: that it is more advantageous to treat the symptoms of 502 00:33:08,760 --> 00:33:13,840 Speaker 1: a disease rather than the cause. In many cases. I 503 00:33:13,880 --> 00:33:16,520 Speaker 1: know this is a sensitive subject for some people, but 504 00:33:16,720 --> 00:33:21,120 Speaker 1: in many cases, the cause of a condition could be 505 00:33:22,400 --> 00:33:26,360 Speaker 1: genetic or lifestyle related. For instance, like a poor diet. Yeah, 506 00:33:26,400 --> 00:33:29,320 Speaker 1: like a poor diet could create diabetes or obesity or 507 00:33:29,440 --> 00:33:34,480 Speaker 1: heart conditions. And the best way to combat that is 508 00:33:34,560 --> 00:33:39,000 Speaker 1: not through a magic pill. Uh. It's through get off 509 00:33:39,000 --> 00:33:43,800 Speaker 1: the couch, right, It's through exercise and changing diet, which, 510 00:33:43,880 --> 00:33:46,080 Speaker 1: of course no one wants to hear because that is 511 00:33:46,080 --> 00:33:49,920 Speaker 1: not an instantaneous cure. But what we did find that 512 00:33:49,960 --> 00:33:53,400 Speaker 1: I thought might interest you, Sean, is some statements from 513 00:33:53,560 --> 00:33:58,360 Speaker 1: people on Reddit of all places, Uh, if you're familiar 514 00:33:58,560 --> 00:34:02,240 Speaker 1: who we're talking about, the talking about the issues here 515 00:34:02,440 --> 00:34:06,240 Speaker 1: or the concept of a conspiracy, and we found people 516 00:34:06,320 --> 00:34:09,919 Speaker 1: saying that. We found people saying that they had had 517 00:34:10,080 --> 00:34:14,759 Speaker 1: experience either with drug creation or product creation or in 518 00:34:14,920 --> 00:34:18,520 Speaker 1: the higher level marketing stuff. The marketing people are saying 519 00:34:19,280 --> 00:34:22,239 Speaker 1: it is so expensive to create a drug and get 520 00:34:22,280 --> 00:34:25,800 Speaker 1: through the f d A hoops that if there were 521 00:34:25,840 --> 00:34:28,319 Speaker 1: a magical cure, people would sell it. They would sell 522 00:34:28,360 --> 00:34:31,879 Speaker 1: it for a boatload, a yacht load of money, one 523 00:34:31,960 --> 00:34:35,080 Speaker 1: might say, but they wouldn't want to keep it secret 524 00:34:35,160 --> 00:34:38,600 Speaker 1: because they would be walking away from so much money. 525 00:34:39,200 --> 00:34:42,720 Speaker 1: And then there was a funny part where the person 526 00:34:42,840 --> 00:34:49,440 Speaker 1: who was a former chemists, like someone creating these drugs, said, 527 00:34:50,200 --> 00:34:53,120 Speaker 1: maybe chemists is not the right word. Researcher. Researcher, sure, 528 00:34:53,480 --> 00:34:56,200 Speaker 1: because we don't know exactly what this person was involved with. 529 00:34:56,239 --> 00:35:01,439 Speaker 1: But they said, they said, here's the thing, it would 530 00:35:01,440 --> 00:35:06,280 Speaker 1: be very difficult for the pharmaceutical companies to pay someone 531 00:35:06,400 --> 00:35:10,759 Speaker 1: who discovered a cure enough to keep it secret. You know, 532 00:35:10,840 --> 00:35:13,600 Speaker 1: how would how would you do that? And this this 533 00:35:13,680 --> 00:35:17,719 Speaker 1: goes into some darker territory when we hear allegations of 534 00:35:18,000 --> 00:35:21,920 Speaker 1: you know, people being disappeared or something like that. But 535 00:35:22,239 --> 00:35:26,680 Speaker 1: in this case, so far, just because of the amount 536 00:35:26,760 --> 00:35:29,720 Speaker 1: of people that would be required to keep this secret, 537 00:35:30,440 --> 00:35:33,439 Speaker 1: it's we we haven't found we haven't found a case yet. 538 00:35:33,480 --> 00:35:36,640 Speaker 1: I'd love to hear more from listeners who believe that 539 00:35:36,680 --> 00:35:39,000 Speaker 1: there is a case. And and I want to say 540 00:35:39,040 --> 00:35:44,879 Speaker 1: also that often you'll hear people saying that an alternative 541 00:35:44,960 --> 00:35:49,960 Speaker 1: medicine of some sort is what's being repressed, right, or 542 00:35:50,000 --> 00:35:55,160 Speaker 1: that there is some maybe natural cure through a plant 543 00:35:55,600 --> 00:36:00,600 Speaker 1: or through a relatively simply made derivation of a plant, 544 00:36:00,880 --> 00:36:07,280 Speaker 1: that pharmaceutical companies are instead trying to monetize. And that part, 545 00:36:07,560 --> 00:36:12,120 Speaker 1: that last part is pretty believable because we're seeing that 546 00:36:12,200 --> 00:36:14,920 Speaker 1: now with I'm not going to claim marijuana is some 547 00:36:14,960 --> 00:36:18,440 Speaker 1: sort of panacea that cures everything. It's certainly kept Taco 548 00:36:18,480 --> 00:36:22,080 Speaker 1: Bell in business. That's that's one magic power has. But 549 00:36:22,080 --> 00:36:26,839 Speaker 1: but it is true that pharmaceutical companies have worked diligently 550 00:36:26,960 --> 00:36:31,799 Speaker 1: to isolate you know, functional chemicals, the the active you know, 551 00:36:31,880 --> 00:36:36,560 Speaker 1: tetracannaboids and stuff, the th HC too, make it a 552 00:36:36,600 --> 00:36:39,920 Speaker 1: pill form instead of something that a person would you know, 553 00:36:40,239 --> 00:36:43,680 Speaker 1: smoke or I guess ingest other ways. Yeah, it reminds 554 00:36:43,719 --> 00:36:46,000 Speaker 1: me of something I think I brought up in we 555 00:36:46,000 --> 00:36:50,160 Speaker 1: were talking about monetizing the treatment of drug addiction. I 556 00:36:50,200 --> 00:36:52,400 Speaker 1: think the episode was just on drug addictions, that it was, 557 00:36:52,560 --> 00:36:55,560 Speaker 1: and I was talking about how, you know, privatizing, privatization 558 00:36:55,680 --> 00:36:58,680 Speaker 1: of methodone clinics force, Oh yeah, yeah, right, and so 559 00:36:59,360 --> 00:37:02,520 Speaker 1: obviously ties into big pharma. I mean, you know, somebody's 560 00:37:02,520 --> 00:37:06,759 Speaker 1: got to manufacturer the methodone or whatever short version of 561 00:37:06,800 --> 00:37:08,920 Speaker 1: that is just being prescribed, you know, for the treatment 562 00:37:08,960 --> 00:37:12,319 Speaker 1: of opiate addiction. UM. There's a lot of articles out 563 00:37:12,320 --> 00:37:14,880 Speaker 1: there about UM. I think the most recent when I 564 00:37:14,880 --> 00:37:17,640 Speaker 1: saw I was on device. There is a a natural 565 00:37:17,840 --> 00:37:21,200 Speaker 1: supplement you can call it UM. It's a leaf from 566 00:37:21,200 --> 00:37:24,400 Speaker 1: Thailand originally believe it's called cretum and it it produces 567 00:37:24,440 --> 00:37:27,560 Speaker 1: an effect very similar to an opiate or like methodone 568 00:37:27,560 --> 00:37:30,520 Speaker 1: for example. But UM. And it is legal technically right 569 00:37:30,560 --> 00:37:33,840 Speaker 1: now in the US. But it is clearly, according to 570 00:37:33,920 --> 00:37:36,439 Speaker 1: a lot of the things that I've been reading, very 571 00:37:36,520 --> 00:37:41,040 Speaker 1: much uh, controversial, and it's you know, probably not going 572 00:37:41,080 --> 00:37:44,680 Speaker 1: to be legal for long, yeah, more or less. But 573 00:37:45,160 --> 00:37:51,239 Speaker 1: UM it is apparently a very good analog to methodone. 574 00:37:51,400 --> 00:37:55,160 Speaker 1: And not nearly as uh not doesn't carry nearly as 575 00:37:55,200 --> 00:37:57,719 Speaker 1: many side effects, so so it can be used to 576 00:37:57,920 --> 00:38:02,320 Speaker 1: treat um people have be in addiction. Absolutely okay, according 577 00:38:02,360 --> 00:38:04,120 Speaker 1: to you know, some of these sources, and we could 578 00:38:04,120 --> 00:38:07,520 Speaker 1: maybe find a few links and pirst them on social um. 579 00:38:07,600 --> 00:38:10,640 Speaker 1: But I think it's just a good example of like 580 00:38:10,760 --> 00:38:16,200 Speaker 1: a longstanding natural product that has been around. Apparently, this 581 00:38:16,400 --> 00:38:21,040 Speaker 1: that used to be so popular um in um in 582 00:38:21,080 --> 00:38:25,400 Speaker 1: Thailand that they it had to be banned because it 583 00:38:25,480 --> 00:38:30,080 Speaker 1: was actually interfering with the opium trade because people were 584 00:38:30,200 --> 00:38:32,920 Speaker 1: it was easier to get, people could grow it, you know, 585 00:38:32,960 --> 00:38:36,279 Speaker 1: it grew naturally even and it was actually interfering with 586 00:38:36,320 --> 00:38:38,799 Speaker 1: the opium trade. So you know, and this is you know, 587 00:38:39,480 --> 00:38:41,640 Speaker 1: decades and decades and decades ago. This is a very 588 00:38:41,640 --> 00:38:44,360 Speaker 1: interesting story when I haven't heard and I'd like to 589 00:38:44,400 --> 00:38:47,360 Speaker 1: follow up on it. So and I'm not saying that 590 00:38:48,480 --> 00:38:52,080 Speaker 1: this suppression of a miracle drug has never occurred. I'm 591 00:38:52,120 --> 00:38:55,800 Speaker 1: saying that I've had this point. I've had difficulty finding 592 00:38:56,000 --> 00:39:01,560 Speaker 1: a proven case suppression that later came out. One thing 593 00:39:01,600 --> 00:39:05,319 Speaker 1: that could be similar would be not related so much 594 00:39:05,360 --> 00:39:10,000 Speaker 1: to pharmaceutical companies, but the Tuskegee experiments where the US 595 00:39:10,120 --> 00:39:15,040 Speaker 1: government withheld treatment for syphilis. But that again, that would 596 00:39:15,040 --> 00:39:17,600 Speaker 1: be Uncle Sam. That would not necessarily be like a 597 00:39:17,719 --> 00:39:22,400 Speaker 1: viser or a bear. So if you are listening to 598 00:39:22,400 --> 00:39:26,120 Speaker 1: this show, first, thank you so much. And if you 599 00:39:26,280 --> 00:39:29,160 Speaker 1: have knowledge of something like that, if you want to 600 00:39:29,200 --> 00:39:32,200 Speaker 1: be anonymous, that's fine. We won't reveal your identity, but 601 00:39:32,360 --> 00:39:38,320 Speaker 1: we would love to hear more about this suppression of cures. 602 00:39:38,360 --> 00:39:43,120 Speaker 1: We've looked at the propagation of diseases and at least 603 00:39:43,160 --> 00:39:46,560 Speaker 1: one example that is a true story. We have looked 604 00:39:46,560 --> 00:39:51,799 Speaker 1: at some corruption, which is numerous examples, and we have 605 00:39:52,080 --> 00:39:58,640 Speaker 1: looked into the idea of suppressing a treatment there that's 606 00:39:58,640 --> 00:40:00,840 Speaker 1: such a big term. There are number of ways we 607 00:40:00,880 --> 00:40:03,439 Speaker 1: can look at it, but we want to know what 608 00:40:03,520 --> 00:40:06,400 Speaker 1: you think. So write to us on Facebook, follow us 609 00:40:06,440 --> 00:40:09,120 Speaker 1: on Twitter. We're conspiracy stuff at both. You can even 610 00:40:09,200 --> 00:40:11,600 Speaker 1: check out our live show that we do once a 611 00:40:11,640 --> 00:40:14,200 Speaker 1: week ish. Oh, which reminds me, nold, are you gonna 612 00:40:14,280 --> 00:40:17,640 Speaker 1: do you want to be on that? Okay? So yeah, yeah, 613 00:40:17,840 --> 00:40:21,480 Speaker 1: So in the WiFi game, yeah yeah, we're getting our 614 00:40:21,480 --> 00:40:24,560 Speaker 1: WiFi game back. It's it's it's much better. And speaking 615 00:40:24,600 --> 00:40:27,960 Speaker 1: of what you think, let's pause for a second and 616 00:40:28,080 --> 00:40:39,359 Speaker 1: do some listener mail. All right, So our first letter 617 00:40:39,520 --> 00:40:43,520 Speaker 1: comes to us from Matt, not Matt Frederick, not the 618 00:40:43,719 --> 00:40:47,000 Speaker 1: not our co host, but Matt a listener, and Matt's 619 00:40:47,040 --> 00:40:53,239 Speaker 1: writing and regarding our episode on modern slavery. The statistics 620 00:40:53,280 --> 00:40:56,480 Speaker 1: on sex trafficking are very problematic, and jurisdictions have a 621 00:40:56,520 --> 00:40:59,880 Speaker 1: political interest in it. I was traffic to air quotes 622 00:41:00,200 --> 00:41:02,640 Speaker 1: can be a get out of jail card for prostitute 623 00:41:02,680 --> 00:41:06,120 Speaker 1: to get arrested. Maggie McNeil has written a fairly thorough 624 00:41:06,160 --> 00:41:10,640 Speaker 1: analysis of how questionable the widely popularized sex trafficking statistics 625 00:41:10,719 --> 00:41:14,080 Speaker 1: actually are, and then that goes on to say, also, 626 00:41:14,120 --> 00:41:17,240 Speaker 1: there was a distinct attitude that no right thinking woman 627 00:41:17,280 --> 00:41:19,320 Speaker 1: would ever want to do sex work on your show, 628 00:41:19,560 --> 00:41:22,919 Speaker 1: and just isn't true. Again, quite a number of women 629 00:41:22,920 --> 00:41:25,160 Speaker 1: are in the business because they choose to, not because 630 00:41:25,160 --> 00:41:27,759 Speaker 1: of his survival work. First time I've seen such an 631 00:41:27,760 --> 00:41:31,600 Speaker 1: obvious bias on your show. Well, Matt, thanks for writing. 632 00:41:31,680 --> 00:41:35,240 Speaker 1: I noticed that you say distinct attitude, most likely because 633 00:41:35,280 --> 00:41:38,200 Speaker 1: we never directly said that no one would ever willingly 634 00:41:38,280 --> 00:41:42,560 Speaker 1: be involved in sex work. However, I do agree that 635 00:41:42,680 --> 00:41:46,840 Speaker 1: I do agree completely that sex trafficking statistics can be 636 00:41:47,040 --> 00:41:51,920 Speaker 1: very very problematic. Uh, statistics for forced labor in general 637 00:41:52,280 --> 00:41:56,720 Speaker 1: are very problematic. And I can't remember if we address 638 00:41:56,800 --> 00:41:58,719 Speaker 1: this on air, but I hope we did. You have 639 00:41:58,800 --> 00:42:03,880 Speaker 1: to also question the agendas of widely inflated numbers, you know, 640 00:42:04,080 --> 00:42:07,680 Speaker 1: question the source of where those numbers come from. So 641 00:42:08,680 --> 00:42:12,400 Speaker 1: it is it clearly isn't true that no one would 642 00:42:12,400 --> 00:42:17,200 Speaker 1: ever want to do sex work. But if we say 643 00:42:17,320 --> 00:42:20,200 Speaker 1: quite a number of women are in the business because 644 00:42:20,239 --> 00:42:24,000 Speaker 1: they choose to, quite a number is also a slippery 645 00:42:24,080 --> 00:42:29,520 Speaker 1: number in itself, and regardless of the ratio. Uh, it 646 00:42:29,760 --> 00:42:33,440 Speaker 1: is true that now use the same word, the same phrase, 647 00:42:33,680 --> 00:42:36,840 Speaker 1: quite a number of people are in sex trafficking or 648 00:42:36,960 --> 00:42:42,040 Speaker 1: forced labor of any sort against their will. And with 649 00:42:42,040 --> 00:42:45,120 Speaker 1: with that being said, I really appreciate this email, Matt, 650 00:42:45,200 --> 00:42:48,640 Speaker 1: because you're you're making an excellent point about how dangerous 651 00:42:48,640 --> 00:42:52,080 Speaker 1: it can be to paint with a broad brush, and 652 00:42:52,160 --> 00:42:55,040 Speaker 1: that's something that I wanted. Uh. I wanted the rest 653 00:42:55,040 --> 00:42:57,680 Speaker 1: of the listeners to hear your take on And thank 654 00:42:57,719 --> 00:43:01,359 Speaker 1: you for the recommendation of Maggie McNeil. For people who 655 00:43:01,360 --> 00:43:04,960 Speaker 1: haven't checked out our Modern Slavery podcast, UH, please do 656 00:43:05,040 --> 00:43:08,600 Speaker 1: you learn some interesting facts and you'll see some as 657 00:43:08,640 --> 00:43:13,960 Speaker 1: Matt has pointed out, questionable statistics. One of the interesting 658 00:43:13,960 --> 00:43:17,319 Speaker 1: pieces of trivia is that, according to most estimates we read, 659 00:43:17,719 --> 00:43:23,480 Speaker 1: the vast majority of forced labor or human trafficking forced 660 00:43:23,520 --> 00:43:29,719 Speaker 1: modern slavery is manual labor. So things like brick building, right, 661 00:43:29,800 --> 00:43:35,279 Speaker 1: like construction work, agriculture, rather than the lurid tales that 662 00:43:35,360 --> 00:43:40,080 Speaker 1: seem to get the most popular media attention. So again, 663 00:43:40,120 --> 00:43:43,160 Speaker 1: thanks so much for writing, Matt, and I appreciate your point. 664 00:43:43,239 --> 00:43:46,359 Speaker 1: It was well uh, well written, well presented. Again check 665 00:43:46,360 --> 00:43:49,440 Speaker 1: out the book by Maggie McNeil. I guess that's the 666 00:43:49,440 --> 00:43:52,520 Speaker 1: interesting thing about statistics. I mean this idea of reducing 667 00:43:52,600 --> 00:43:55,600 Speaker 1: a human being to a statistic, and they inherently have 668 00:43:55,800 --> 00:43:59,920 Speaker 1: very little context, so it's hard to know the motivations 669 00:44:00,000 --> 00:44:05,080 Speaker 1: typically behind a statistic. M hm I yeah, I personal level, 670 00:44:05,320 --> 00:44:08,839 Speaker 1: I'm sure, Yeah, I completely agree. And statistics can be 671 00:44:08,920 --> 00:44:12,400 Speaker 1: so easily skewed by something as small as the framing 672 00:44:12,480 --> 00:44:17,880 Speaker 1: of a question in a poll. Right. Uh So for instance, uh, 673 00:44:18,040 --> 00:44:22,960 Speaker 1: if there if there was something like a pole regarding recess, right, 674 00:44:23,560 --> 00:44:26,000 Speaker 1: and if you if you were trying to get something 675 00:44:26,040 --> 00:44:30,120 Speaker 1: that said, uh, the majority of people agree that children 676 00:44:31,160 --> 00:44:36,239 Speaker 1: should have some sort of recess, right then, or if 677 00:44:36,280 --> 00:44:39,839 Speaker 1: you want you would say, you would say, um, do 678 00:44:39,880 --> 00:44:44,239 Speaker 1: you believe that children should be forced to stay inside 679 00:44:44,360 --> 00:44:47,759 Speaker 1: all day during school despite the numerous studies showing that 680 00:44:47,880 --> 00:44:52,120 Speaker 1: sitting constantly has legitimate and long lasting health effects. Then 681 00:44:52,120 --> 00:44:54,000 Speaker 1: of course people will be like, no, I don't want 682 00:44:54,120 --> 00:44:58,000 Speaker 1: children to have a sitting disease. And if you wanted 683 00:44:58,000 --> 00:45:01,520 Speaker 1: more people to say that they disagree with recess, then 684 00:45:01,560 --> 00:45:05,640 Speaker 1: you would say, I do you believe that children should 685 00:45:05,640 --> 00:45:11,240 Speaker 1: be forced outside? Uh? And to stand in the elements, 686 00:45:11,280 --> 00:45:16,200 Speaker 1: given given the given the recent statistics on pollution, and 687 00:45:16,239 --> 00:45:20,000 Speaker 1: the long lasting detrimental health effects that can occur just 688 00:45:20,160 --> 00:45:24,080 Speaker 1: from being outside for an hour. Oh and by the way, 689 00:45:24,120 --> 00:45:27,520 Speaker 1: we're making this show in a state where recess has 690 00:45:27,760 --> 00:45:31,360 Speaker 1: uh consistently dwindled. I think it's like ten minutes a 691 00:45:31,440 --> 00:45:34,680 Speaker 1: day now, which is just enough time to get kids 692 00:45:34,719 --> 00:45:37,080 Speaker 1: to run outside and then run back in. Did I 693 00:45:37,080 --> 00:45:38,920 Speaker 1: ever tell you that they kicked me out of kindergarten? 694 00:45:39,480 --> 00:45:43,160 Speaker 1: They kicked you out because I don't play? Oh no, 695 00:45:43,520 --> 00:45:50,040 Speaker 1: come on now, all right, So well, let's go to 696 00:45:50,160 --> 00:45:54,879 Speaker 1: a second piece of listener mail. Okay, um, so here 697 00:45:54,960 --> 00:45:57,120 Speaker 1: is a nice letter. I just wanted to write in 698 00:45:57,280 --> 00:45:59,160 Speaker 1: to let you know how much I enjoy the podcast. 699 00:45:59,200 --> 00:46:01,200 Speaker 1: I've only been listening for a couple of months now, 700 00:46:01,480 --> 00:46:03,120 Speaker 1: but it's one of the podcasts I listened to that 701 00:46:03,200 --> 00:46:06,600 Speaker 1: I anticipate the most every week, thinking it would be 702 00:46:06,640 --> 00:46:10,400 Speaker 1: an Alex Jones type Conspiracy Circle jerk. I love that image. 703 00:46:10,800 --> 00:46:13,759 Speaker 1: I was very timid about listening. The level of skepticism 704 00:46:13,760 --> 00:46:16,400 Speaker 1: you show every week, though, is very refreshing when it 705 00:46:16,440 --> 00:46:19,120 Speaker 1: comes to these topics. I am very interested in conspiracy 706 00:46:19,160 --> 00:46:21,000 Speaker 1: theories as a topic, but it is so hard to 707 00:46:21,000 --> 00:46:24,200 Speaker 1: find level headed conversation about it from the outside. I 708 00:46:24,280 --> 00:46:26,440 Speaker 1: just finished this week's episode and thought I chime in 709 00:46:26,520 --> 00:46:28,719 Speaker 1: with some support keep up the awesome work. And that 710 00:46:28,719 --> 00:46:30,919 Speaker 1: comes to us from Ryan and Ryan, thanks so much. 711 00:46:30,960 --> 00:46:35,080 Speaker 1: We sure appreciate it. We have uh we you know, 712 00:46:35,160 --> 00:46:38,200 Speaker 1: we get a lot of email here and this show. 713 00:46:38,880 --> 00:46:41,560 Speaker 1: You know, you might be a regular listener, and you 714 00:46:41,640 --> 00:46:46,040 Speaker 1: might have friends who say, oh no, we'll make up 715 00:46:46,040 --> 00:46:51,279 Speaker 1: a name of a person, Stephen Mecklenburg. Okay, And let's 716 00:46:51,280 --> 00:46:53,799 Speaker 1: say you're Steven Mecklenburg and you're a regular listener in 717 00:46:53,840 --> 00:46:56,680 Speaker 1: this show. You might have people who going, Ah, Steve, 718 00:46:56,760 --> 00:47:01,680 Speaker 1: I can't believe you listen to that tinfoil hat bologney 719 00:47:01,800 --> 00:47:07,160 Speaker 1: right that bologna and uh and malarkey right. And if 720 00:47:07,239 --> 00:47:10,399 Speaker 1: if you have friends who are like that, who would 721 00:47:10,400 --> 00:47:13,239 Speaker 1: be hesitant to check out a show because of the 722 00:47:13,280 --> 00:47:17,399 Speaker 1: topics it addresses, UH, then please let them let them 723 00:47:17,440 --> 00:47:21,080 Speaker 1: know that this this show, we will we will ask 724 00:47:21,160 --> 00:47:24,160 Speaker 1: any question. We'll entertain any question. As a listener driven show, 725 00:47:24,320 --> 00:47:27,760 Speaker 1: We'll ask any question. We'll do our best to find 726 00:47:27,800 --> 00:47:31,440 Speaker 1: the answers. Now. As Matt our listener pointed out in 727 00:47:31,480 --> 00:47:34,480 Speaker 1: our early in the earlier email, we don't always get 728 00:47:34,520 --> 00:47:37,360 Speaker 1: things right. You know, we're we're human. There are things 729 00:47:37,400 --> 00:47:39,360 Speaker 1: that we need to clarify. There are some things that 730 00:47:39,400 --> 00:47:44,960 Speaker 1: we've just gotten wrong, and we rely on our listeners 731 00:47:45,320 --> 00:47:49,799 Speaker 1: to help us keep this show as as honest as possible. Man. 732 00:47:50,000 --> 00:47:52,200 Speaker 1: You know, from where I said, you guys do a 733 00:47:52,200 --> 00:47:56,160 Speaker 1: fantastic job of keeping Ben Matt and you know, to 734 00:47:56,239 --> 00:47:58,520 Speaker 1: a less you degree myself honest about these things that 735 00:47:58,760 --> 00:48:01,759 Speaker 1: we very much appreciate. That obviously well so so we 736 00:48:01,840 --> 00:48:05,759 Speaker 1: appreciate and I would ask you if you have if 737 00:48:05,800 --> 00:48:09,520 Speaker 1: you have some friends like that who um pride themselves 738 00:48:09,520 --> 00:48:13,920 Speaker 1: on critical thinking, right, but somehow make the mistake of 739 00:48:14,560 --> 00:48:18,440 Speaker 1: throwing everything referred to as a conspiracy theory into the 740 00:48:18,520 --> 00:48:22,759 Speaker 1: same large bucket. Then uh, let them let them know 741 00:48:22,920 --> 00:48:26,000 Speaker 1: about our show, or tell them, oh I I heard 742 00:48:26,000 --> 00:48:28,680 Speaker 1: a good one that is not what what? What's that phrase? 743 00:48:28,719 --> 00:48:31,520 Speaker 1: A conspiracy circle jerk? Do we even say that on 744 00:48:31,560 --> 00:48:36,399 Speaker 1: the air. There's a there's a band called the circle Jerks. Okay, alright, yes, 745 00:48:36,560 --> 00:48:39,000 Speaker 1: so guys, if our boss is asked, that's what we 746 00:48:39,000 --> 00:48:41,680 Speaker 1: were talking about, all right, back us up, uh, and 747 00:48:41,760 --> 00:48:43,839 Speaker 1: now we are going to head out. We would like 748 00:48:44,280 --> 00:48:45,680 Speaker 1: to hear from you. So if you want to take 749 00:48:45,680 --> 00:48:48,640 Speaker 1: a page from that list. Whoa wait, do you hear 750 00:48:48,680 --> 00:48:55,200 Speaker 1: that sound cute? Yeah? You do, because you're you're playing it. Yeah. No, 751 00:48:55,320 --> 00:48:58,399 Speaker 1: I have a thing, Ben, I have a thing. So 752 00:48:58,520 --> 00:49:00,840 Speaker 1: I kind of want to use to day's moment to 753 00:49:01,360 --> 00:49:06,200 Speaker 1: revisit our boys. Screlly, Martin Screlly. Um. This is a story. 754 00:49:06,480 --> 00:49:08,200 Speaker 1: It's fascinating to me on a couple of levels, but 755 00:49:08,360 --> 00:49:12,200 Speaker 1: one it really shows the power of the internet. First 756 00:49:12,280 --> 00:49:16,279 Speaker 1: in that this story kind of came and then was 757 00:49:16,360 --> 00:49:19,239 Speaker 1: more or less resolved in a day's time. I'm using 758 00:49:19,239 --> 00:49:22,560 Speaker 1: the term resolved pretty loosely. But a little backstory. UM, 759 00:49:22,680 --> 00:49:25,880 Speaker 1: many of you, I'm sure we're following this along with me. Um. 760 00:49:25,920 --> 00:49:29,759 Speaker 1: Martin Screlly is a thirty two I believe thirty two 761 00:49:29,840 --> 00:49:32,759 Speaker 1: year old former hedge fund manager, so just you know, 762 00:49:33,640 --> 00:49:37,560 Speaker 1: up there in the financial world, and was topiary. Yeah, 763 00:49:37,600 --> 00:49:39,040 Speaker 1: I don't know what either one of those. I thought, 764 00:49:39,040 --> 00:49:42,440 Speaker 1: it's like a landscaping thing, manage hedges. Yeah, I have that. 765 00:49:42,520 --> 00:49:44,279 Speaker 1: You know that it might as well be, for all 766 00:49:44,320 --> 00:49:47,080 Speaker 1: I know about what hedge fund actually is. It seems 767 00:49:47,080 --> 00:49:48,239 Speaker 1: like to me it's one of those things where you 768 00:49:48,239 --> 00:49:49,920 Speaker 1: only really know what it is, and that's what you 769 00:49:49,960 --> 00:49:51,840 Speaker 1: do for a living. I'm gonna walk away from a 770 00:49:51,920 --> 00:49:55,000 Speaker 1: terrible landscaping joke. I don't. You don't have to, I know, 771 00:49:55,440 --> 00:49:59,200 Speaker 1: let's go all right, I'll go with you. So Martin Screlly, 772 00:49:59,480 --> 00:50:02,960 Speaker 1: um for two year old financial whiz I guess you 773 00:50:02,960 --> 00:50:05,760 Speaker 1: could call him. Uh, used to manage a hedge fund. 774 00:50:06,280 --> 00:50:09,560 Speaker 1: So left the hedge fund and it was part of 775 00:50:09,560 --> 00:50:14,640 Speaker 1: a pharmaceutical company called Retrofin. Is that right? Yeah, Retrofin 776 00:50:14,880 --> 00:50:18,120 Speaker 1: and Retrofin acquired the rights to sell a drug called 777 00:50:18,239 --> 00:50:23,799 Speaker 1: fiola fiolas used to treat cystinuria. That's a rare, incurable 778 00:50:23,880 --> 00:50:28,520 Speaker 1: condition which gives you persistent kidney stones. That's right, So 779 00:50:28,600 --> 00:50:31,719 Speaker 1: that's a that's a pain in the kidney. Right. Yeah, 780 00:50:32,640 --> 00:50:34,480 Speaker 1: So we're burying the lead here a little bit. But 781 00:50:34,560 --> 00:50:36,839 Speaker 1: the reason we bring that up is this was sort 782 00:50:36,840 --> 00:50:40,680 Speaker 1: of the first example of this guy Screlly um doing 783 00:50:40,719 --> 00:50:45,400 Speaker 1: some pretty egregious price gouging. Yeah, he said that Fiolo, 784 00:50:45,480 --> 00:50:49,480 Speaker 1: which sold for four thousand a year per patient, would 785 00:50:49,480 --> 00:50:53,080 Speaker 1: be priced closer to a rival drug called Pencilla Meane, 786 00:50:53,480 --> 00:50:57,680 Speaker 1: which sold for eighty thousand, hundred forty thousand a year 787 00:50:57,800 --> 00:51:01,799 Speaker 1: per patient. So good little backstory there. But the lead 788 00:51:01,840 --> 00:51:05,120 Speaker 1: that we're bearing is the news of the day is, uh, 789 00:51:05,200 --> 00:51:12,239 Speaker 1: Martin Screlly has a pharmaceutical startup called Turing Pharmaceuticals um 790 00:51:12,280 --> 00:51:13,960 Speaker 1: and And just the idea to me when I first 791 00:51:14,000 --> 00:51:16,040 Speaker 1: heard this of a pharmaceutical startup, I mean, I think 792 00:51:16,080 --> 00:51:18,480 Speaker 1: of a startup is like building an app, you know, 793 00:51:18,600 --> 00:51:20,719 Speaker 1: like something. I don't really think of it as like, 794 00:51:20,920 --> 00:51:22,920 Speaker 1: I mean, I guess all companies have to start somewhere, 795 00:51:23,200 --> 00:51:25,480 Speaker 1: But this is the idea of a pharmaceutical startups sort 796 00:51:25,480 --> 00:51:27,160 Speaker 1: of like made me scratch my head A little bit. 797 00:51:27,239 --> 00:51:29,480 Speaker 1: But one of the first things he did UM when 798 00:51:29,520 --> 00:51:33,680 Speaker 1: he started this company was purchased the rights to a 799 00:51:33,840 --> 00:51:39,040 Speaker 1: very old drug called dry Prim and UH. Dry Prim 800 00:51:39,040 --> 00:51:44,520 Speaker 1: has actually been used for years to treat toxoplasmosis, which 801 00:51:45,040 --> 00:51:51,440 Speaker 1: is is a pretty common condition, but it's not particularly 802 00:51:52,160 --> 00:51:55,279 Speaker 1: um detrimental to most people who have it, who have 803 00:51:55,400 --> 00:51:58,840 Speaker 1: regular you know, functioning system. Where it comes where it 804 00:51:58,880 --> 00:52:03,120 Speaker 1: becomes a real problem is with immunodeficient individuals UM suffering 805 00:52:03,160 --> 00:52:06,360 Speaker 1: from you know, say HIV, AIDS or cancer. And what 806 00:52:06,520 --> 00:52:11,560 Speaker 1: this drug does is it'say an anti parasite, anti parasitic drug. 807 00:52:12,040 --> 00:52:15,480 Speaker 1: And for years, I believe it's sold in the neighborhood 808 00:52:15,480 --> 00:52:17,520 Speaker 1: of a dollar a pill, and then it went up 809 00:52:17,560 --> 00:52:20,160 Speaker 1: to about thirteen dollars at pill. Well, when our boys 810 00:52:20,160 --> 00:52:23,040 Speaker 1: Screlly bought it, he decided it would be a good 811 00:52:23,080 --> 00:52:26,160 Speaker 1: idea to up the price from thirteen change to I 812 00:52:26,200 --> 00:52:29,000 Speaker 1: believe seven hundred and fifty dollars a pill. Yeah, I 813 00:52:29,000 --> 00:52:32,239 Speaker 1: believe that's correct. Yeah. And when questioned about it on 814 00:52:32,520 --> 00:52:35,920 Speaker 1: CBS UH this morning, I believe it was there before yesterday, 815 00:52:36,160 --> 00:52:38,880 Speaker 1: he argued that you know, they're only about two thousand 816 00:52:38,920 --> 00:52:43,359 Speaker 1: people that use this drug actively it's was not profitable 817 00:52:43,640 --> 00:52:47,280 Speaker 1: for our company UM to sell it at that price. 818 00:52:47,680 --> 00:52:51,160 Speaker 1: And honestly, what we're doing by raising the price here 819 00:52:51,280 --> 00:52:55,640 Speaker 1: is actually very altruistic because it means that we can 820 00:52:55,680 --> 00:52:59,840 Speaker 1: take this money and invest it back into research and development, 821 00:53:00,000 --> 00:53:04,600 Speaker 1: you find a better drug UM with viewer side effects. Yeah, 822 00:53:04,760 --> 00:53:08,279 Speaker 1: and also there's the question of the enormous cost of 823 00:53:08,280 --> 00:53:11,320 Speaker 1: our INDE. That's something that people would bring up to also, 824 00:53:11,440 --> 00:53:13,640 Speaker 1: just just to throw this in there, Apparently it costs 825 00:53:14,040 --> 00:53:16,840 Speaker 1: in the neighborhood of a dollar or less to actually 826 00:53:16,840 --> 00:53:20,120 Speaker 1: produce to manufacturer manufacturer one is that is that counting 827 00:53:20,160 --> 00:53:24,160 Speaker 1: the soaken cost of the of you know, the the 828 00:53:24,280 --> 00:53:27,200 Speaker 1: overhead to research and create it. Well, I guess that's 829 00:53:27,200 --> 00:53:28,800 Speaker 1: a good point, because I mean, if you'd spend fifty 830 00:53:28,800 --> 00:53:30,759 Speaker 1: million dollars to acquire it, I guess you have to 831 00:53:30,760 --> 00:53:32,759 Speaker 1: figure that into it when you know you're talking about 832 00:53:32,840 --> 00:53:35,080 Speaker 1: what would be profitable to sell the drug for. So 833 00:53:35,160 --> 00:53:37,879 Speaker 1: I didn't know this, So the plan was to take 834 00:53:37,960 --> 00:53:41,239 Speaker 1: that money and make a another thing. But that's the 835 00:53:41,280 --> 00:53:42,799 Speaker 1: point that I guess that's the reason I'm bringing this 836 00:53:42,880 --> 00:53:45,160 Speaker 1: up is that would probably be the argument that any 837 00:53:45,160 --> 00:53:48,160 Speaker 1: pharmaceutical company would make as to why they're quote unquote 838 00:53:48,160 --> 00:53:51,440 Speaker 1: price gouging, They say, oh, well, our you know, biggest 839 00:53:51,440 --> 00:53:53,879 Speaker 1: stakeholders are are the patients. You know, that is who 840 00:53:53,880 --> 00:53:56,480 Speaker 1: we're looking after the most. If we're doing anything, it 841 00:53:56,600 --> 00:53:59,160 Speaker 1: is so we can funnel this money back into research 842 00:53:59,160 --> 00:54:02,719 Speaker 1: and development, which admittedly is very expensive and you know, 843 00:54:02,880 --> 00:54:05,719 Speaker 1: time consuming to to do. You know, there was there 844 00:54:05,800 --> 00:54:08,520 Speaker 1: was another piece of big news though, right yeah, Um, 845 00:54:08,560 --> 00:54:12,040 Speaker 1: so basically what happened is this news came out, the 846 00:54:12,080 --> 00:54:15,680 Speaker 1: Internet proceeded to go bananas like it tends to do, 847 00:54:15,880 --> 00:54:18,479 Speaker 1: and it just became a collective lynch mob for this guy, 848 00:54:18,520 --> 00:54:22,160 Speaker 1: Martin Screlly, just Twitter just you know, calling him hitler, 849 00:54:22,200 --> 00:54:24,640 Speaker 1: calling him the worst thing since pol Pot, you know, 850 00:54:24,760 --> 00:54:28,000 Speaker 1: I mean, just just really demonizing this guy. And you know, 851 00:54:28,040 --> 00:54:31,040 Speaker 1: he didn't do himself very many favors because he is 852 00:54:31,080 --> 00:54:34,960 Speaker 1: also an active Twitter user and tended to respond to 853 00:54:35,360 --> 00:54:40,040 Speaker 1: Internet criticisms by quoting Wu Tang clan lyrics saying that 854 00:54:40,080 --> 00:54:42,719 Speaker 1: he ain't nothing to blank with and um, you know 855 00:54:42,800 --> 00:54:44,920 Speaker 1: things like that, and posting pictures of himself on one 856 00:54:44,920 --> 00:54:47,920 Speaker 1: of those uh those the new answer to the segue, 857 00:54:48,040 --> 00:54:52,360 Speaker 1: the little roly things, you know that whiz Khalifa got 858 00:54:52,480 --> 00:54:54,120 Speaker 1: arrested b of l a X or something like that. 859 00:54:54,640 --> 00:54:57,560 Speaker 1: Ye had deep cut there, um, But yeah, and he's 860 00:54:57,640 --> 00:55:00,680 Speaker 1: kind of this kind of smirky little face this you know, 861 00:55:00,760 --> 00:55:04,520 Speaker 1: kind of hipster haircut and just just you know, very 862 00:55:04,600 --> 00:55:06,799 Speaker 1: easy to demonize a guy like that who just does 863 00:55:06,960 --> 00:55:10,120 Speaker 1: no self awareness when it comes to these things. And 864 00:55:10,160 --> 00:55:12,200 Speaker 1: so I guess, um, I'm I'm going off on a 865 00:55:12,200 --> 00:55:13,680 Speaker 1: bit of a tangent here. But the thing that was 866 00:55:13,719 --> 00:55:16,640 Speaker 1: most fascinating to me about this is here is a 867 00:55:16,719 --> 00:55:23,520 Speaker 1: quote unquote pharmaceutical startup making this incredibly contentious decision, and 868 00:55:23,600 --> 00:55:28,680 Speaker 1: the Internet reacted, and in real time you could see 869 00:55:28,840 --> 00:55:32,080 Speaker 1: this guy like defending himself in the worst way possible. 870 00:55:32,120 --> 00:55:34,120 Speaker 1: You can see all the criticisms being lobbied against. You 871 00:55:34,160 --> 00:55:36,440 Speaker 1: do not get to see that when it comes to 872 00:55:36,520 --> 00:55:38,440 Speaker 1: these large companies. This this is like a like a 873 00:55:38,480 --> 00:55:42,080 Speaker 1: look behind the curtain because of the size of this organization, 874 00:55:42,200 --> 00:55:44,120 Speaker 1: because of who this guy is, the fact that he's 875 00:55:44,160 --> 00:55:46,560 Speaker 1: a millennial and he's tweeting out everything and he has 876 00:55:46,600 --> 00:55:49,920 Speaker 1: absolutely no filter. So I just think it was really interesting. 877 00:55:49,960 --> 00:55:52,719 Speaker 1: I learned so much about what price gouging is, what 878 00:55:52,960 --> 00:55:55,560 Speaker 1: kinds of act, what kinds of deals are going on 879 00:55:55,560 --> 00:55:57,960 Speaker 1: behind closed doors when it comes to these pharmaceutical companies. 880 00:55:57,960 --> 00:56:01,040 Speaker 1: But it was all in this really interesting of micro level. 881 00:56:01,239 --> 00:56:03,920 Speaker 1: So it was a really interesting glimpse into what likely 882 00:56:04,440 --> 00:56:07,840 Speaker 1: is happening on a larger scale, but in real time 883 00:56:08,440 --> 00:56:11,800 Speaker 1: in the span of a day. Yeah, and the price 884 00:56:11,880 --> 00:56:15,520 Speaker 1: is gonna drop. He's gonna drop. Internet shamed him into 885 00:56:15,600 --> 00:56:19,719 Speaker 1: rowing back the price, right, we'll see. Well, and also 886 00:56:19,800 --> 00:56:22,720 Speaker 1: we don't know if that was the determining factor, but people, 887 00:56:23,719 --> 00:56:25,480 Speaker 1: you know, it seems like it. He said, it was 888 00:56:25,560 --> 00:56:28,600 Speaker 1: more or less I mean he I think, I don't 889 00:56:28,600 --> 00:56:30,200 Speaker 1: know what the quote was exactly, but he more or 890 00:56:30,280 --> 00:56:34,640 Speaker 1: less said, um, it was sort of a sorry not 891 00:56:34,800 --> 00:56:37,160 Speaker 1: sorry kind of where he was like, you know what, 892 00:56:37,320 --> 00:56:39,120 Speaker 1: I feel like my decision to do this in the 893 00:56:39,120 --> 00:56:43,040 Speaker 1: first place wasn't wrong, but clearly this is bad for me, 894 00:56:43,440 --> 00:56:46,200 Speaker 1: so I'm not gonna do it. So that's, you know, 895 00:56:46,440 --> 00:56:51,759 Speaker 1: that's an interesting story. And we have to wonder what 896 00:56:51,760 --> 00:56:54,760 Speaker 1: what effects this is going to have on the future, 897 00:56:55,040 --> 00:56:59,440 Speaker 1: right on other pharmaceutical companies, on the on the ongoing fight. Sure, well, 898 00:56:59,440 --> 00:57:02,160 Speaker 1: you know, Hillary and when this happened, tweeted out, this 899 00:57:02,239 --> 00:57:05,560 Speaker 1: is exactly the kind of ridiculous price gouging that we're 900 00:57:05,600 --> 00:57:08,399 Speaker 1: trying to prevent in big pharma. You know, I am 901 00:57:08,440 --> 00:57:12,000 Speaker 1: going to roll out a plan, you know, to cap 902 00:57:12,600 --> 00:57:17,960 Speaker 1: uh drug manufacturing or drug sales at some set rate 903 00:57:18,200 --> 00:57:20,920 Speaker 1: above what it costs to produce, et cetera. Like our 904 00:57:20,920 --> 00:57:23,400 Speaker 1: plan did come out. But I mean this created a 905 00:57:23,520 --> 00:57:27,200 Speaker 1: very large reaction again because of the echo chamber that 906 00:57:27,320 --> 00:57:29,320 Speaker 1: is Twitter in the Internet. Like, so the whole thing 907 00:57:29,400 --> 00:57:32,160 Speaker 1: was really interesting to see, uh go down in real time. 908 00:57:32,360 --> 00:57:36,200 Speaker 1: And is this sincere on the Clinton Campaign's part or 909 00:57:36,360 --> 00:57:39,520 Speaker 1: simply opportunistic Probably both. Yeah, I think that's it. But 910 00:57:39,760 --> 00:57:43,160 Speaker 1: but but then this goes into the larger fight, for instance, 911 00:57:43,200 --> 00:57:48,120 Speaker 1: between generic drug manufacturers in India who are making things 912 00:57:48,160 --> 00:57:49,880 Speaker 1: that would cost on the order of a dollar or 913 00:57:49,880 --> 00:57:52,640 Speaker 1: a pill a dollar or three dollars a pill, against 914 00:57:52,720 --> 00:57:57,080 Speaker 1: the pharmaceutical companies often in the West, who say, we 915 00:57:57,160 --> 00:58:00,400 Speaker 1: did all the legwork to manufacture or discover this, to 916 00:58:00,480 --> 00:58:04,840 Speaker 1: create it at great expense, and now you are counterfeiting 917 00:58:05,000 --> 00:58:08,840 Speaker 1: or stealing our intellectual property, which goes back again to 918 00:58:08,960 --> 00:58:11,360 Speaker 1: the t p P, which we don't have too much 919 00:58:11,400 --> 00:58:16,160 Speaker 1: time to talk about now. So uh, we're gonna we're 920 00:58:16,160 --> 00:58:19,360 Speaker 1: gonna head out and as always, we hope that you 921 00:58:19,600 --> 00:58:22,520 Speaker 1: enjoyed this episode. We hope that you will follow us 922 00:58:22,560 --> 00:58:26,880 Speaker 1: on Facebook and Twitter. But more importantly than just following 923 00:58:26,960 --> 00:58:29,680 Speaker 1: us or liking us, which is something that always makes 924 00:58:29,760 --> 00:58:33,160 Speaker 1: us a little bit less close to getting fired. Uh. 925 00:58:33,240 --> 00:58:37,000 Speaker 1: There there is the most important, most singular thing you do, 926 00:58:37,160 --> 00:58:39,840 Speaker 1: which is right to us. Let us know what you think. Uh, 927 00:58:39,920 --> 00:58:43,120 Speaker 1: tell tell your friends if you feel like telling your friends. Uh. 928 00:58:43,160 --> 00:58:45,479 Speaker 1: And let's you know what, what would you like people 929 00:58:45,480 --> 00:58:48,040 Speaker 1: to write to us with? Well, I mean obviously, ideas 930 00:58:48,080 --> 00:58:51,440 Speaker 1: for things to research, ideas for episodes. Um, let us 931 00:58:51,440 --> 00:58:54,400 Speaker 1: know what you think about how we're doing. Let us 932 00:58:54,440 --> 00:58:57,440 Speaker 1: know ways that we can use you know, Noble's corner 933 00:58:57,600 --> 00:59:01,360 Speaker 1: to better effect. Um, I just readubbed at Millis Quarters Quarter. 934 00:59:02,120 --> 00:59:04,120 Speaker 1: Um now we just we we loved. We always love 935 00:59:04,160 --> 00:59:06,040 Speaker 1: to hear what you guys think because as been and 936 00:59:06,160 --> 00:59:10,440 Speaker 1: that always say, this is your show. And that's the 937 00:59:10,560 --> 00:59:13,960 Speaker 1: end of this classic episode. If you have any thoughts 938 00:59:14,080 --> 00:59:17,920 Speaker 1: or questions about this episode, you can get into contact 939 00:59:18,000 --> 00:59:20,160 Speaker 1: with us in a number of different ways. One of 940 00:59:20,160 --> 00:59:22,000 Speaker 1: the best is to give us a call. Our number 941 00:59:22,080 --> 00:59:25,440 Speaker 1: is one eight three three st d w y t 942 00:59:25,600 --> 00:59:27,680 Speaker 1: K If you don't want to do that, you can 943 00:59:27,720 --> 00:59:31,000 Speaker 1: send us a good old fashioned email. We are conspiracy 944 00:59:31,120 --> 00:59:34,840 Speaker 1: at i heart radio dot com. Stuff they don't want 945 00:59:34,840 --> 00:59:37,200 Speaker 1: you to know is a production of I heart Radio. 946 00:59:37,520 --> 00:59:39,800 Speaker 1: For more podcasts from my heart Radio, visit the i 947 00:59:39,840 --> 00:59:42,760 Speaker 1: heart radio app, Apple Podcasts, or wherever you listen to 948 00:59:42,800 --> 00:59:43,600 Speaker 1: your favorite shows.