1 00:00:00,240 --> 00:00:04,680 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,760 --> 00:00:09,080 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,079 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,200 --> 00:00:25,799 Speaker 1: production of I Heart Radio. Hello, welcome back to the show. 5 00:00:25,920 --> 00:00:28,760 Speaker 1: My name is Matt, my name is Noah. They called 6 00:00:28,800 --> 00:00:31,720 Speaker 1: me Ben. We're joined as always with our super producer 7 00:00:31,800 --> 00:00:36,320 Speaker 1: Alexis code named Doc Holiday Jackson. Most importantly, you are you. 8 00:00:36,320 --> 00:00:39,360 Speaker 1: You are here, and that makes this the stuff they 9 00:00:39,440 --> 00:00:43,480 Speaker 1: don't want you to know. And last week we took 10 00:00:43,520 --> 00:00:46,199 Speaker 1: a little bit of a break and in place of 11 00:00:46,320 --> 00:00:49,879 Speaker 1: our strange news and listener mail segments, we published some 12 00:00:50,000 --> 00:00:53,680 Speaker 1: classic episodes. We hope you enjoy them, and we are 13 00:00:53,960 --> 00:00:58,720 Speaker 1: back in the game. The news is going crazy. We 14 00:00:58,840 --> 00:01:02,480 Speaker 1: do want to touch on several stories that are still 15 00:01:02,520 --> 00:01:07,480 Speaker 1: developing and will probably end up being future episodes. Spoiler alert. 16 00:01:07,959 --> 00:01:12,680 Speaker 1: When you hear the news about Kazakhstan and Russia, ask 17 00:01:12,720 --> 00:01:16,959 Speaker 1: yourself where the world's uranium comes from? Of it comes 18 00:01:17,000 --> 00:01:22,560 Speaker 1: from Kazakhstan and uh. Some sources that have to remain 19 00:01:22,600 --> 00:01:26,520 Speaker 1: anonymous have have told me some stuff that's pretty eye opening. 20 00:01:26,520 --> 00:01:32,280 Speaker 1: But we'll get to that later. Yes, oh quite a bit. 21 00:01:32,560 --> 00:01:36,520 Speaker 1: Uh And for now, we're going to explore some stories 22 00:01:36,640 --> 00:01:40,680 Speaker 1: about the future of farts, the rise of the pig hearted, 23 00:01:41,120 --> 00:01:46,760 Speaker 1: and a terrifying illness that is going through Canada. And 24 00:01:46,800 --> 00:01:50,040 Speaker 1: this is something that a couple of folks had written 25 00:01:50,440 --> 00:01:53,639 Speaker 1: to us or to me about in in the past. 26 00:01:53,720 --> 00:01:58,280 Speaker 1: But it's definitely a story that we have our eyes on. Also, 27 00:01:58,880 --> 00:02:01,760 Speaker 1: you know, before we've been gain guys, this is one 28 00:02:01,840 --> 00:02:05,200 Speaker 1: of the first times I thought the pandemics really working 29 00:02:05,280 --> 00:02:08,079 Speaker 1: for me because everybody, a lot of us are working 30 00:02:08,120 --> 00:02:10,560 Speaker 1: from home now and we don't have to deal with 31 00:02:10,639 --> 00:02:14,840 Speaker 1: the horrific Atlanta traffic that occurs whenever President rolls through town. 32 00:02:15,240 --> 00:02:17,320 Speaker 1: I think this is the first time in my life 33 00:02:17,480 --> 00:02:19,919 Speaker 1: I thought, Okay, well, I hope everyone has a good 34 00:02:19,919 --> 00:02:23,320 Speaker 1: time instead of being if I had for two hours. Yeah, 35 00:02:23,520 --> 00:02:26,640 Speaker 1: as we record this, the current President Biden is speaking 36 00:02:26,720 --> 00:02:30,320 Speaker 1: right now somewhere in our city about the need to 37 00:02:30,639 --> 00:02:34,440 Speaker 1: the urgent need for legislation, which is way different from 38 00:02:34,520 --> 00:02:37,440 Speaker 1: saying I'm going to do something. Just need a lot 39 00:02:37,440 --> 00:02:39,680 Speaker 1: of that, need a lot of a lot of that. Um, 40 00:02:39,720 --> 00:02:43,280 Speaker 1: it's crazy. Speaking of traffic, you guys here about the 41 00:02:43,280 --> 00:02:47,679 Speaker 1: traffic jams, and I believe New York one five that 42 00:02:47,760 --> 00:02:50,280 Speaker 1: were so bad during those storms that like people got 43 00:02:50,280 --> 00:02:56,600 Speaker 1: stuck with like six uber bills Virginia down. Uh. And 44 00:02:56,840 --> 00:03:00,919 Speaker 1: I'm still wondering why there weren't a media lead mobile 45 00:03:01,080 --> 00:03:03,800 Speaker 1: shelters built, you know what I mean, like FEMA coming 46 00:03:03,840 --> 00:03:06,640 Speaker 1: and through with some kind of Uncle Sam version of 47 00:03:06,639 --> 00:03:09,560 Speaker 1: a yurk. It's a good question. But apparently, um, a 48 00:03:09,600 --> 00:03:13,160 Speaker 1: lot of the news cruise and helicopters that were shooting 49 00:03:13,160 --> 00:03:15,880 Speaker 1: the whole thing didn't shy away from filming people getting 50 00:03:15,880 --> 00:03:18,440 Speaker 1: out of their cars and um dropping trout and using 51 00:03:18,480 --> 00:03:24,040 Speaker 1: the restroom. Well, I mean, if if it peas, it leads. No, 52 00:03:28,840 --> 00:03:33,760 Speaker 1: if it lacks speed, it leads the traffic chat never 53 00:03:33,800 --> 00:03:36,920 Speaker 1: mind where we're all we're all speeds. If it PEPs, 54 00:03:36,920 --> 00:03:43,640 Speaker 1: it's a scoot. That's that's the one, see it alright? Sorry, yeah, 55 00:03:43,760 --> 00:03:46,280 Speaker 1: but we I think we all talked maybe with our 56 00:03:46,320 --> 00:03:50,800 Speaker 1: colleagues or maybe separately off air about this first story 57 00:03:50,840 --> 00:03:54,760 Speaker 1: in this week's segment, which is the which is an 58 00:03:54,760 --> 00:03:58,680 Speaker 1: illness story and it does not appear to be COVID. Right, 59 00:03:58,720 --> 00:04:01,920 Speaker 1: there's a mystery a flitt Yes, very much so and 60 00:04:02,040 --> 00:04:06,640 Speaker 1: very much not COVID. Uh. This is a neurological degenerative 61 00:04:06,800 --> 00:04:11,640 Speaker 1: disease of some sort or multiple diseases, and it's in 62 00:04:11,720 --> 00:04:15,440 Speaker 1: a fairly small cluster of forty eight people. And you 63 00:04:15,480 --> 00:04:17,400 Speaker 1: may think, why are you talking about something that's only 64 00:04:17,400 --> 00:04:20,920 Speaker 1: affecting forty eight people on this planet where there's tons 65 00:04:20,920 --> 00:04:25,120 Speaker 1: of things affecting way more people. Uh, Well, because it's puzzling. 66 00:04:25,600 --> 00:04:28,279 Speaker 1: It's very frightening when you look at the symptoms that 67 00:04:28,320 --> 00:04:30,760 Speaker 1: are being described and what these forty eight people are 68 00:04:30,839 --> 00:04:34,000 Speaker 1: dealing with. So that's that's why we're covering it today. 69 00:04:34,240 --> 00:04:36,680 Speaker 1: And to talk about at first, we have to travel 70 00:04:36,960 --> 00:04:42,200 Speaker 1: just northeast of Maine into Canada, into New Brunswick. That 71 00:04:42,360 --> 00:04:46,680 Speaker 1: is where this cluster of forty individuals live, and that's 72 00:04:46,720 --> 00:04:54,080 Speaker 1: where something is affecting people of various ages. It's especially frightening, 73 00:04:54,080 --> 00:04:56,599 Speaker 1: by the way, because this whatever this disease is, whatever 74 00:04:56,600 --> 00:05:00,600 Speaker 1: this thing is, it's affecting young people with an intense 75 00:05:00,920 --> 00:05:04,599 Speaker 1: neurodegenerative disease. And to begin, we're going to jump to 76 00:05:04,600 --> 00:05:08,599 Speaker 1: the Guardian and read the story Whistleblower Warren's baffling illness 77 00:05:08,680 --> 00:05:12,719 Speaker 1: affects growing number of young adults in Canadian Province. It 78 00:05:12,839 --> 00:05:16,040 Speaker 1: was published on January second, and it was written by 79 00:05:16,120 --> 00:05:20,120 Speaker 1: Leland Seco. Okay, so I think the first thing I 80 00:05:20,160 --> 00:05:22,039 Speaker 1: want to start with, I've just kind of said some 81 00:05:22,080 --> 00:05:25,200 Speaker 1: of the main points. Here's forty eight individuals. It was 82 00:05:25,520 --> 00:05:28,640 Speaker 1: announced in the spring of last year, little less than 83 00:05:28,680 --> 00:05:32,360 Speaker 1: a year ago when this cluster of people were announced. 84 00:05:32,560 --> 00:05:34,240 Speaker 1: And the reason why the word whistle blower is in 85 00:05:34,240 --> 00:05:36,800 Speaker 1: there is because someone has come forward to state that 86 00:05:37,400 --> 00:05:40,760 Speaker 1: this is way bigger of a problem than the reaction 87 00:05:40,839 --> 00:05:44,680 Speaker 1: that it's receiving from officials in New Brunswick, in Canada 88 00:05:44,800 --> 00:05:49,400 Speaker 1: and just the medical community. Essentially, let's talk about some 89 00:05:49,480 --> 00:05:52,719 Speaker 1: of the people and what's happening to them. If you 90 00:05:52,960 --> 00:05:55,799 Speaker 1: read that article, you will read about a suspected case 91 00:05:55,880 --> 00:05:58,200 Speaker 1: that would be within this cluster of a man who 92 00:05:58,320 --> 00:06:02,320 Speaker 1: is developing, you know, what you would consider dementia and 93 00:06:03,040 --> 00:06:06,800 Speaker 1: a few other symptoms. His wife was taking care of him, 94 00:06:06,839 --> 00:06:09,240 Speaker 1: she was his caregiver as he was, you know, going 95 00:06:09,279 --> 00:06:14,520 Speaker 1: through this degeneration, and suddenly she began experiencing strange symptoms 96 00:06:14,560 --> 00:06:18,919 Speaker 1: losing sleep, muscle wasting which you can imagine that muscles 97 00:06:19,080 --> 00:06:24,160 Speaker 1: breaking down, dementia, and hallucinations herself. And at the time 98 00:06:24,160 --> 00:06:27,880 Speaker 1: that this article was written, the wife was experiencing worse 99 00:06:27,960 --> 00:06:30,560 Speaker 1: symptoms than the husband, the person for whom she was 100 00:06:30,640 --> 00:06:35,039 Speaker 1: caring um. And you know that's pretty scary, right Does 101 00:06:35,040 --> 00:06:38,760 Speaker 1: that mean you think about those two cases together, does 102 00:06:38,800 --> 00:06:42,360 Speaker 1: that mean that the wife caught something from the husband 103 00:06:42,440 --> 00:06:45,800 Speaker 1: That generally doesn't It doesn't work that way with these 104 00:06:45,880 --> 00:06:49,200 Speaker 1: kind of neurodegenerative diseases, you know, the way you think 105 00:06:49,200 --> 00:06:52,960 Speaker 1: COVID would or some other flu like thing. You don't 106 00:06:53,160 --> 00:06:56,320 Speaker 1: just catch it from somebody. If you're just thinking about 107 00:06:56,320 --> 00:06:58,640 Speaker 1: those two cases, you imagine, well, is it something in 108 00:06:58,680 --> 00:07:01,200 Speaker 1: the environment, like in their home? Is it something they 109 00:07:01,240 --> 00:07:03,919 Speaker 1: both you know, we're breathing, or something that they ate 110 00:07:04,000 --> 00:07:07,720 Speaker 1: or drank, like what could cause this? And it just 111 00:07:07,760 --> 00:07:09,760 Speaker 1: gets weirder from there because then you start looking at 112 00:07:09,800 --> 00:07:12,040 Speaker 1: other individuals where there seems to be some kind of 113 00:07:12,080 --> 00:07:16,880 Speaker 1: communicative effect with whatever this disease is. There was a 114 00:07:17,320 --> 00:07:19,320 Speaker 1: I'm just gonna continue reading from that same article from 115 00:07:19,320 --> 00:07:21,920 Speaker 1: the Guardian. There was a woman in her thirties who 116 00:07:21,960 --> 00:07:25,000 Speaker 1: was described as a non verbal feeding with the tube 117 00:07:25,200 --> 00:07:28,960 Speaker 1: and was experiencing drooling, and her caregiver was a young 118 00:07:29,000 --> 00:07:33,280 Speaker 1: woman in her twenties and nursing student who also after 119 00:07:33,360 --> 00:07:37,440 Speaker 1: caring for this person began developing some of the same things, 120 00:07:37,480 --> 00:07:41,080 Speaker 1: some neurological decline that would be again described as similar 121 00:07:41,120 --> 00:07:45,480 Speaker 1: to what her patient was experiencing. So it's just very 122 00:07:45,920 --> 00:07:50,080 Speaker 1: it's frightening. Like imagine that guy's imagine if there was 123 00:07:50,120 --> 00:07:54,360 Speaker 1: the fear of something like COVID, which is dangerous and 124 00:07:54,440 --> 00:07:58,760 Speaker 1: deadly in some cases. Imagine if instead of it affecting 125 00:07:58,760 --> 00:08:01,880 Speaker 1: your chest and you know, your ability to to breathe, 126 00:08:02,080 --> 00:08:05,400 Speaker 1: it was affecting the way that your brain functioned and 127 00:08:05,520 --> 00:08:09,320 Speaker 1: your ability to say words and speak sentences and understand 128 00:08:09,440 --> 00:08:14,560 Speaker 1: concepts and move your body. Um, it's terrifying. And I 129 00:08:14,560 --> 00:08:18,040 Speaker 1: think that's why this case and these stories it's being 130 00:08:18,080 --> 00:08:21,400 Speaker 1: written about all across the internet. And it's also um, 131 00:08:21,440 --> 00:08:27,160 Speaker 1: it's something that verges on being overblown. You can overblow 132 00:08:27,200 --> 00:08:30,200 Speaker 1: this very quickly because it is only forty eight individuals, 133 00:08:30,240 --> 00:08:33,160 Speaker 1: as I keep saying, but it is something that could 134 00:08:33,200 --> 00:08:38,400 Speaker 1: potentially be worst case scenario, you know, for humanity and 135 00:08:38,600 --> 00:08:42,160 Speaker 1: laughing because it's that scary to me. It's a black box, right, 136 00:08:42,280 --> 00:08:49,120 Speaker 1: because it's not obeying the constraints or the behaviors of 137 00:08:49,559 --> 00:08:55,800 Speaker 1: recognized conditions, right, No genetic links, possible environmental factors, and 138 00:08:55,880 --> 00:09:02,120 Speaker 1: to be honest, the Canadian authority and government made a 139 00:09:02,120 --> 00:09:05,160 Speaker 1: lot of missteps here, and they're the kind of missteps 140 00:09:05,200 --> 00:09:11,320 Speaker 1: that can lead people to increasingly alarmist conclusions, whether or 141 00:09:11,360 --> 00:09:14,760 Speaker 1: not those conclusions are well founded. You could almost say 142 00:09:14,800 --> 00:09:20,360 Speaker 1: that is another symptom of the infection is the government 143 00:09:20,400 --> 00:09:24,160 Speaker 1: not being super helpful about it, which is something anybody 144 00:09:24,200 --> 00:09:27,160 Speaker 1: in a country that has been dealing with COVID, anybody 145 00:09:27,160 --> 00:09:30,920 Speaker 1: in most countries dealing with COVID, can completely and unfortunately 146 00:09:30,960 --> 00:09:34,600 Speaker 1: experientially understand. It's interesting. I mean, I guess I hear 147 00:09:34,640 --> 00:09:36,280 Speaker 1: the term whistle blower, and I usually think of like 148 00:09:36,320 --> 00:09:39,719 Speaker 1: corporations doing bad things people's health with their products or 149 00:09:40,160 --> 00:09:42,200 Speaker 1: polluting or whatever. But I guess at the end of 150 00:09:42,200 --> 00:09:45,600 Speaker 1: the day, there was a whistleblower. There was a whistleblower 151 00:09:45,640 --> 00:09:50,360 Speaker 1: when COVID first became a news item. Chinese government did 152 00:09:50,400 --> 00:09:54,040 Speaker 1: try to cover it up, essentially. Yeah, And in this case, 153 00:09:54,080 --> 00:09:56,240 Speaker 1: it's just someone stepping forward and saying, hey, this is 154 00:09:56,280 --> 00:09:59,040 Speaker 1: way worse than the authorities are saying than the medical 155 00:09:59,240 --> 00:10:01,719 Speaker 1: you know, officials are saying. And we can learn that 156 00:10:01,840 --> 00:10:06,280 Speaker 1: by seeing what the New Brunswick Office of the Chief 157 00:10:06,440 --> 00:10:10,240 Speaker 1: Medical Officer of Health has to say, or at least 158 00:10:10,360 --> 00:10:12,840 Speaker 1: that's what the office has to say. You can read 159 00:10:13,080 --> 00:10:17,560 Speaker 1: New Brunswick Cluster of Neurological Syndrome of Unknown Cause. In 160 00:10:17,640 --> 00:10:20,480 Speaker 1: here you can actually get a breakdown of, you know, 161 00:10:20,520 --> 00:10:23,240 Speaker 1: the people experiencing this stuff. You can read some of 162 00:10:23,280 --> 00:10:27,319 Speaker 1: the findings and the response by the government. You can 163 00:10:27,360 --> 00:10:30,280 Speaker 1: read through some of that. It is it is. It's 164 00:10:30,280 --> 00:10:32,000 Speaker 1: one of those things that when you look through it, 165 00:10:32,000 --> 00:10:35,200 Speaker 1: it appears to be saying, we don't know if these 166 00:10:35,240 --> 00:10:37,880 Speaker 1: people are experiencing the same things. They don't seem to be. 167 00:10:38,120 --> 00:10:41,720 Speaker 1: It seems to be you know, separate neurological disorders that 168 00:10:41,760 --> 00:10:47,040 Speaker 1: are coming into play here, um a varying severity, and uh, 169 00:10:47,040 --> 00:10:52,040 Speaker 1: these people don't seem to be experiencing the same thing. However, however, 170 00:10:53,880 --> 00:10:56,560 Speaker 1: this is one of the reasons that the whistleblower came 171 00:10:56,600 --> 00:11:00,840 Speaker 1: forward because there does appear to be something bigger at 172 00:11:00,880 --> 00:11:03,680 Speaker 1: play here that just isn't being seen or spoken about 173 00:11:03,760 --> 00:11:06,400 Speaker 1: yet or at least taken seriously. And those of our 174 00:11:06,800 --> 00:11:10,720 Speaker 1: works for a company called Vitality. Vitality with a little 175 00:11:10,760 --> 00:11:13,720 Speaker 1: accent over the E is that like a healthcare network 176 00:11:13,760 --> 00:11:15,800 Speaker 1: of some kind or is there any relevance to the story, 177 00:11:16,120 --> 00:11:19,320 Speaker 1: uh surrounding this company and why that was mentioned in 178 00:11:19,320 --> 00:11:21,840 Speaker 1: the article. It's described as a health network. I do 179 00:11:21,920 --> 00:11:23,400 Speaker 1: not know exactly way is. I know it's one of 180 00:11:23,440 --> 00:11:27,840 Speaker 1: the main authorities on healthcare within I think I don't 181 00:11:27,840 --> 00:11:30,240 Speaker 1: know if it's just the New Brunswick area or if 182 00:11:30,280 --> 00:11:32,760 Speaker 1: it's just you know, that particular part of Canada. I 183 00:11:32,840 --> 00:11:35,840 Speaker 1: just don't have enough information on it. I apologize, no, no, no, 184 00:11:36,000 --> 00:11:39,120 Speaker 1: this is this is what we mean when we say 185 00:11:39,200 --> 00:11:43,240 Speaker 1: things are developing, right, because there's stuff that's still being 186 00:11:43,760 --> 00:11:50,160 Speaker 1: unrolled in this hopefully not conspiratorial tapestry. But there there 187 00:11:50,280 --> 00:11:52,480 Speaker 1: is one thing that really stood out to me, and 188 00:11:52,520 --> 00:11:55,760 Speaker 1: at first I didn't believe it, but I went back 189 00:11:55,760 --> 00:11:59,280 Speaker 1: and read through that Guardian article and then I went 190 00:11:59,320 --> 00:12:04,840 Speaker 1: to some other um Canadian based news sources, and there 191 00:12:04,840 --> 00:12:09,280 Speaker 1: there's a group of scientists who are indicating that there 192 00:12:09,320 --> 00:12:13,760 Speaker 1: may be an environmental culprit like you, like you induded 193 00:12:13,800 --> 00:12:19,000 Speaker 1: to Matt, specifically one involved in one of the big 194 00:12:19,040 --> 00:12:23,160 Speaker 1: economies of New Brunswick, which is the which is lobster, right, 195 00:12:23,240 --> 00:12:26,600 Speaker 1: the lobster trade. And there's this line that I saw 196 00:12:26,679 --> 00:12:32,840 Speaker 1: quoted in multiple sources multiple reputable sources where scientists are 197 00:12:33,000 --> 00:12:38,800 Speaker 1: saying we are ready to begin research. We're ready to 198 00:12:38,840 --> 00:12:42,120 Speaker 1: do a full investigation into this so that we can 199 00:12:42,160 --> 00:12:46,520 Speaker 1: interpret data and you know, we can compare contrast. But 200 00:12:46,840 --> 00:12:50,559 Speaker 1: quote new Brunswick has specifically told us not to go 201 00:12:50,720 --> 00:12:56,000 Speaker 1: forward with that work. Yes, that sounds very discordant. Yeah, 202 00:12:56,120 --> 00:13:02,679 Speaker 1: it's it's um. This is where the spiracy stuff comes in, because, 203 00:13:02,880 --> 00:13:07,360 Speaker 1: as you stated been, lobster fishing is a major thing. 204 00:13:07,640 --> 00:13:11,480 Speaker 1: Imagine Maine in the United States, how big lobster fishing 205 00:13:11,600 --> 00:13:13,760 Speaker 1: is as an industry there. Now, just to go a 206 00:13:13,800 --> 00:13:16,640 Speaker 1: little bit northeast, you're in the same waters. It's the 207 00:13:16,720 --> 00:13:20,040 Speaker 1: same deal there. And there was a study that you 208 00:13:20,040 --> 00:13:22,360 Speaker 1: can actually read. It's linked to in that in that 209 00:13:22,400 --> 00:13:25,760 Speaker 1: Guardian article that takes you too, m d p I. 210 00:13:26,480 --> 00:13:30,440 Speaker 1: It's a journal where you can read about neurotoxins that 211 00:13:30,520 --> 00:13:34,640 Speaker 1: exist in certain aquatic food sources for humans and specifically 212 00:13:34,720 --> 00:13:40,280 Speaker 1: named in there are crustaceans like lobsters. And there was 213 00:13:40,360 --> 00:13:43,119 Speaker 1: a survey of thirty four of the forty eight individuals 214 00:13:43,120 --> 00:13:47,319 Speaker 1: who are experiencing these things. And guess what of those 215 00:13:47,440 --> 00:13:53,000 Speaker 1: thirty four people had been ingesting lobster. I didn't know 216 00:13:53,040 --> 00:13:59,080 Speaker 1: how many guests imagine Maine. Sounds like a great tag 217 00:13:59,160 --> 00:14:05,520 Speaker 1: for a tourism match. Well, but here's the deal. There's 218 00:14:05,559 --> 00:14:09,320 Speaker 1: no control group to compare the results of those thirty 219 00:14:09,360 --> 00:14:12,560 Speaker 1: or four people's the survey that they took, So you 220 00:14:12,640 --> 00:14:15,679 Speaker 1: can't say, well, lobster is definitely a thing, even though 221 00:14:16,559 --> 00:14:19,120 Speaker 1: of the people surveyed who are having these problems ate 222 00:14:19,200 --> 00:14:25,040 Speaker 1: it because I mean, maybe of all people in that 223 00:14:25,120 --> 00:14:27,880 Speaker 1: area New Brunswick eat lobster because it's part of the 224 00:14:27,920 --> 00:14:29,760 Speaker 1: main you know, it's a main industry, and it's just 225 00:14:29,800 --> 00:14:32,080 Speaker 1: one of the foods that's available and it's fresh and 226 00:14:32,320 --> 00:14:35,720 Speaker 1: you eat it. Um. So there's no way to really 227 00:14:35,800 --> 00:14:38,240 Speaker 1: link that unless you have a control group and then 228 00:14:38,760 --> 00:14:43,040 Speaker 1: control group and and uh, great show. Check it out 229 00:14:43,360 --> 00:14:48,040 Speaker 1: still on Apple podcast. It's really good. I was just 230 00:14:48,160 --> 00:14:51,680 Speaker 1: watching Guys. I just started it that that Netflix movie 231 00:14:51,840 --> 00:14:54,680 Speaker 1: about the government's in action when they're told that there's 232 00:14:54,680 --> 00:14:59,200 Speaker 1: a planet killer event. Don't look up. Don't look up, dude. 233 00:14:59,240 --> 00:15:02,680 Speaker 1: It feels like, yeah, I've just begun it. But it 234 00:15:02,720 --> 00:15:06,160 Speaker 1: feels like that kind of thing where it's a political 235 00:15:06,280 --> 00:15:09,400 Speaker 1: move to allow the study of one of the main 236 00:15:09,520 --> 00:15:13,880 Speaker 1: industries in your province or your area, because if something 237 00:15:13,920 --> 00:15:18,080 Speaker 1: bad comes up in there, uh, we we can't sell 238 00:15:18,160 --> 00:15:21,360 Speaker 1: lobster anymore, or you know, we have to cull a 239 00:15:21,360 --> 00:15:23,640 Speaker 1: ton of the lobsters that we bring in, and we, 240 00:15:23,920 --> 00:15:27,280 Speaker 1: you know, our industry begins to die. It's a political 241 00:15:27,360 --> 00:15:30,880 Speaker 1: choice then, rather than a choice of of healthcare and 242 00:15:31,320 --> 00:15:35,680 Speaker 1: people's well being. Right, we get into very murky territory 243 00:15:35,840 --> 00:15:38,400 Speaker 1: very quickly. We're not just talking about deep ocean fishing. 244 00:15:38,480 --> 00:15:42,160 Speaker 1: We're talking about things like the concept of acceptable margins 245 00:15:42,200 --> 00:15:47,080 Speaker 1: of loss right, and then the idea that um more 246 00:15:47,240 --> 00:15:53,400 Speaker 1: in depth or comprehensive studies could reveal not just the 247 00:15:53,920 --> 00:15:58,920 Speaker 1: cause of forty eight individual medical conditions, but it could 248 00:15:58,920 --> 00:16:03,480 Speaker 1: have much larger implications for the future. You know. I 249 00:16:03,520 --> 00:16:07,920 Speaker 1: think one thing we've all learned in our collective experience 250 00:16:07,920 --> 00:16:12,800 Speaker 1: over the past few years is that reports of transmissible 251 00:16:12,840 --> 00:16:17,120 Speaker 1: diseases are a lot like the cockroach rule in your 252 00:16:17,240 --> 00:16:21,080 Speaker 1: kitchen at home. If you see one roach, then that 253 00:16:21,160 --> 00:16:23,440 Speaker 1: means that there are many more that you are not seen. 254 00:16:23,520 --> 00:16:28,040 Speaker 1: And so for everyone reported case, uh, it is unfortunately 255 00:16:28,080 --> 00:16:31,760 Speaker 1: safe to assume there are many more unreported cases and 256 00:16:31,880 --> 00:16:37,200 Speaker 1: that it might be a powder keg politically and uh, medically, dude. 257 00:16:39,080 --> 00:16:42,720 Speaker 1: This is if you continue reading that one Guardian article, 258 00:16:42,880 --> 00:16:45,880 Speaker 1: you get down and you start hearing quotations from people 259 00:16:45,960 --> 00:16:49,080 Speaker 1: whose family members have gone through this, some of them 260 00:16:49,080 --> 00:16:54,800 Speaker 1: have passed away. And I'm gonna read this one quote, um, 261 00:16:55,320 --> 00:16:58,280 Speaker 1: just really quickly. It is from a family member of 262 00:16:58,280 --> 00:17:00,640 Speaker 1: someone who passed They said, I'd don't know why the 263 00:17:00,680 --> 00:17:03,880 Speaker 1: province wouldn't just do the science and look, they have 264 00:17:04,080 --> 00:17:07,159 Speaker 1: my dad's remains. We've given them full permission to do 265 00:17:07,240 --> 00:17:10,560 Speaker 1: toxicology and what needs to be done. Yet nothing has 266 00:17:10,600 --> 00:17:14,000 Speaker 1: been looked at and they just can't understand we you know, 267 00:17:14,080 --> 00:17:17,760 Speaker 1: we made the choice to give our father's remains to 268 00:17:17,800 --> 00:17:21,560 Speaker 1: you to test to save other people, and you're not 269 00:17:22,160 --> 00:17:27,840 Speaker 1: doing it. Why why are you not doing that? And no, 270 00:17:28,000 --> 00:17:30,080 Speaker 1: at least at the time that this article is written, 271 00:17:30,160 --> 00:17:34,040 Speaker 1: I haven't seen any updates to it either. Um yeah, 272 00:17:34,440 --> 00:17:38,760 Speaker 1: I would just I would just say, hey, people look 273 00:17:38,800 --> 00:17:40,600 Speaker 1: into this and we don't want to be alarmist here 274 00:17:40,720 --> 00:17:43,240 Speaker 1: because again there's a small number of people and maybe nothing, 275 00:17:43,640 --> 00:17:46,240 Speaker 1: but if there's a high level of b M a A, 276 00:17:46,400 --> 00:17:49,359 Speaker 1: which is the neurotoxin that has been found in fairly 277 00:17:49,440 --> 00:17:53,359 Speaker 1: large amounts in some lobster in that area. Um, people 278 00:17:53,400 --> 00:17:55,800 Speaker 1: need to know. You gotta think twice about what you 279 00:17:55,840 --> 00:17:57,960 Speaker 1: put in your body, especially if you're feeding your child 280 00:17:58,160 --> 00:18:02,000 Speaker 1: or you're a loved one. Like people should be informed. 281 00:18:02,480 --> 00:18:05,240 Speaker 1: And in the end it does have major effects on 282 00:18:05,280 --> 00:18:09,159 Speaker 1: the industry or it could m But is that I 283 00:18:09,160 --> 00:18:12,440 Speaker 1: don't know. Wait wait way those human lives versus that 284 00:18:12,760 --> 00:18:15,639 Speaker 1: you know, that lobster money. And it'd be interesting too 285 00:18:15,720 --> 00:18:20,720 Speaker 1: to extend this study, uh into lobster fisheries in Maine 286 00:18:21,080 --> 00:18:24,200 Speaker 1: and in the northeastern coast of the US, including places 287 00:18:24,200 --> 00:18:28,760 Speaker 1: like Rhode Island, because wildlife and infections do not practice 288 00:18:29,320 --> 00:18:32,280 Speaker 1: political borders made by humans, you know what I mean. 289 00:18:32,320 --> 00:18:34,840 Speaker 1: It's not if there is something related to the lobster, 290 00:18:34,920 --> 00:18:38,280 Speaker 1: which again is unproven, that is just a speculation that 291 00:18:38,359 --> 00:18:41,879 Speaker 1: cannot be proven or disproven yet if it is something 292 00:18:41,920 --> 00:18:44,639 Speaker 1: to do with the environment in any way, be it 293 00:18:44,760 --> 00:18:47,440 Speaker 1: lobsters or some other cause, it's not as if those 294 00:18:47,480 --> 00:18:50,399 Speaker 1: lobsters are going to get to the Canadian US border 295 00:18:50,640 --> 00:18:53,720 Speaker 1: and then all of a sudden becomes safe, you know. Um. Also, 296 00:18:53,760 --> 00:18:56,520 Speaker 1: in a very selfish note, I got really into ordering 297 00:18:56,560 --> 00:19:00,840 Speaker 1: weird seafood online during the pandemic and I'm starting to 298 00:19:00,880 --> 00:19:05,400 Speaker 1: rethink that. Um also, I was ordering from sustainable places. 299 00:19:05,880 --> 00:19:10,800 Speaker 1: Not to be too um political, but but the ocean is, 300 00:19:10,960 --> 00:19:14,040 Speaker 1: the maritime ecosystem is collapsing. I wonder if that could 301 00:19:14,080 --> 00:19:17,040 Speaker 1: be part of this as well. Oh lord, yeah, that's 302 00:19:17,040 --> 00:19:20,840 Speaker 1: a whole bigger bowl of fish. Not a bowl of fish, 303 00:19:20,880 --> 00:19:23,879 Speaker 1: it's a it's a lot. That's a whole thing. Cease 304 00:19:23,920 --> 00:19:27,760 Speaker 1: Percy and all um. And just to show that this 305 00:19:27,800 --> 00:19:29,919 Speaker 1: has been happening for a long time, has been reported 306 00:19:29,960 --> 00:19:34,359 Speaker 1: about for a long time. Back in March of one, 307 00:19:34,520 --> 00:19:37,520 Speaker 1: there's another Guardian article you can read titled Mystery brain 308 00:19:37,600 --> 00:19:41,760 Speaker 1: disorder baffles Canadian doctors and it's about the same things, 309 00:19:42,560 --> 00:19:45,359 Speaker 1: what is going on, why is it happening and how? 310 00:19:45,400 --> 00:19:48,600 Speaker 1: And there were forty three cases at that time. Yeah, 311 00:19:48,680 --> 00:19:51,560 Speaker 1: look into it. Maybe makes make your own decision really 312 00:19:51,600 --> 00:19:54,000 Speaker 1: about what you think is happening, I guess. But yeah, 313 00:19:54,359 --> 00:19:55,920 Speaker 1: if we need to get the call out to like, 314 00:19:56,280 --> 00:19:58,200 Speaker 1: let's just let's do some testing, even if it needs 315 00:19:58,240 --> 00:20:00,359 Speaker 1: to be a third party, independent group they comes in 316 00:20:00,400 --> 00:20:04,040 Speaker 1: and test a lobster. That should probably happen like last 317 00:20:04,119 --> 00:20:07,919 Speaker 1: year around March. I agree. Okay, well, you're welcome for 318 00:20:07,920 --> 00:20:12,119 Speaker 1: your weekly dose of happiness and positivity. Let's hear a 319 00:20:12,200 --> 00:20:14,600 Speaker 1: quick word from our sponsor and get back to some 320 00:20:14,640 --> 00:20:25,400 Speaker 1: more strange news, and we're back pivoting from a potentially 321 00:20:26,320 --> 00:20:30,320 Speaker 1: terrifying health scare. Could be the new pandemic sweeping the nation. 322 00:20:30,359 --> 00:20:32,040 Speaker 1: Now I don't think that's what that is, but you 323 00:20:32,080 --> 00:20:34,199 Speaker 1: never know. It's good to catch these things earlier to 324 00:20:34,680 --> 00:20:39,800 Speaker 1: a another type of pandemic sweeping the nation, a technological 325 00:20:39,840 --> 00:20:43,399 Speaker 1: pandemic called n f T s the stupidest use of 326 00:20:43,440 --> 00:20:47,560 Speaker 1: technology in the history of creation. In my opinion, I'm 327 00:20:47,560 --> 00:20:54,320 Speaker 1: sure there's in it's it's just I don't know to 328 00:20:54,400 --> 00:20:58,680 Speaker 1: me in you know, non fungible tokens, fungible tokens or whatever. 329 00:20:58,720 --> 00:21:03,399 Speaker 1: Our use of the cryptocurrency, blockchain or block jenkeaneese for 330 00:21:03,400 --> 00:21:05,479 Speaker 1: all kinds of stuff, But that's what we mainly associated with, 331 00:21:05,760 --> 00:21:09,440 Speaker 1: UH in order to validate unique pieces of digital art, 332 00:21:09,640 --> 00:21:13,000 Speaker 1: unique digital assets of any kind, you can turn anything 333 00:21:13,000 --> 00:21:15,280 Speaker 1: into an n f T. We had. We saw, um, 334 00:21:15,359 --> 00:21:19,000 Speaker 1: you know, the head of Twitter minting the first ever 335 00:21:19,040 --> 00:21:20,960 Speaker 1: tweet as an n f T. And what does it 336 00:21:20,960 --> 00:21:23,200 Speaker 1: mean to own a digital asset, you might ask, Well, 337 00:21:23,320 --> 00:21:27,320 Speaker 1: not not much. It's literally a contract saying that you 338 00:21:27,320 --> 00:21:29,439 Speaker 1: own it. But as we know with all these stupid 339 00:21:29,520 --> 00:21:33,520 Speaker 1: lazy lions and and um the monkeys or whatever they are, 340 00:21:33,560 --> 00:21:36,520 Speaker 1: the guerrillas, I guess they're very popular. So basically this 341 00:21:37,000 --> 00:21:39,600 Speaker 1: crappy art that people pay a lot of money for 342 00:21:39,720 --> 00:21:43,359 Speaker 1: in cryptocurrency um and then are able to claim ownership 343 00:21:43,440 --> 00:21:47,040 Speaker 1: over these and the you know, the the minting process 344 00:21:47,119 --> 00:21:50,760 Speaker 1: essentially makes it where you can unequivocally say this is 345 00:21:50,840 --> 00:21:54,320 Speaker 1: mine and I own this, but people can still screenshot 346 00:21:54,359 --> 00:21:55,639 Speaker 1: them and at the end of the day, it's just 347 00:21:55,680 --> 00:21:58,520 Speaker 1: a jpeg, uh, and you know, you can make it 348 00:21:58,560 --> 00:22:01,720 Speaker 1: your profile picture, but someone else can also screenshot and 349 00:22:01,800 --> 00:22:03,320 Speaker 1: naked there's and then there's actually been a lot of 350 00:22:03,480 --> 00:22:05,840 Speaker 1: to do around there. People are like, hey, man, that's mine. 351 00:22:05,880 --> 00:22:07,520 Speaker 1: You you don't know that, You've got to take it down. 352 00:22:07,720 --> 00:22:10,480 Speaker 1: I'll sue you. But it's like, yeah, good luck, um man. 353 00:22:10,520 --> 00:22:13,080 Speaker 1: And maybe there's a path to that, but it has 354 00:22:13,280 --> 00:22:17,040 Speaker 1: become a bit of a emperor has no close kind 355 00:22:17,080 --> 00:22:19,639 Speaker 1: of situation to me. It just kind of shows the 356 00:22:19,760 --> 00:22:25,879 Speaker 1: inherent hollowness and shallowness of things like um art as commodities. 357 00:22:25,920 --> 00:22:27,280 Speaker 1: You know. I mean, if anything, I think it's just 358 00:22:27,320 --> 00:22:30,640 Speaker 1: kind of like a dystopian sci fi way of saying, yeah, 359 00:22:30,680 --> 00:22:33,119 Speaker 1: things are worth whatever we say they are, uh, and 360 00:22:33,160 --> 00:22:35,800 Speaker 1: if it's uh, and these things aren't even cool looking 361 00:22:35,920 --> 00:22:37,320 Speaker 1: most of them, mean some of them are. You know, 362 00:22:37,320 --> 00:22:40,240 Speaker 1: there's like people or whatever. The guy that sold a 363 00:22:40,359 --> 00:22:42,560 Speaker 1: billion dollar n f T who was a collection of like, 364 00:22:42,640 --> 00:22:45,840 Speaker 1: you know, hundreds and hundreds of all of these digital 365 00:22:45,840 --> 00:22:48,919 Speaker 1: images that he had already made publicly available on his Instagram, 366 00:22:48,960 --> 00:22:51,280 Speaker 1: you know for years it was just like a very 367 00:22:51,359 --> 00:22:54,160 Speaker 1: very large image macro with all of these as tiny 368 00:22:54,200 --> 00:22:56,399 Speaker 1: little pixels um. And I think it's it's sold for 369 00:22:56,400 --> 00:22:58,920 Speaker 1: a billion dollars. And so there's been this crazy people thinking, Okay, 370 00:22:59,040 --> 00:23:01,399 Speaker 1: n f T s are gonna be the new cryptocurrency, 371 00:23:01,520 --> 00:23:04,479 Speaker 1: or they are cryptocurrency in and of themselves kind of 372 00:23:04,560 --> 00:23:07,160 Speaker 1: they're a token um that you can then resell them, 373 00:23:07,200 --> 00:23:11,200 Speaker 1: of course, and and like cryptocurrencies, they can appreciate or 374 00:23:11,280 --> 00:23:13,800 Speaker 1: depreciate and value um. So it's really just opened up 375 00:23:13,800 --> 00:23:17,440 Speaker 1: this kind of whole feeding frenzy around it, and it's 376 00:23:17,480 --> 00:23:20,160 Speaker 1: starting to get really silly because people like, well, what's 377 00:23:20,160 --> 00:23:23,359 Speaker 1: the guy's name that played al on on Home Improvement? 378 00:23:23,920 --> 00:23:25,800 Speaker 1: Do you guys remember his name probably not. You probably 379 00:23:25,840 --> 00:23:30,280 Speaker 1: just remember him as Al No not no, no. We 380 00:23:30,320 --> 00:23:32,240 Speaker 1: know we know Tim Allen from other things like the 381 00:23:32,240 --> 00:23:36,400 Speaker 1: Santa clause. But this guy's okay, yeah, well that too. Um, 382 00:23:36,520 --> 00:23:38,639 Speaker 1: that was in a previous life. Let's let's give the guy. 383 00:23:38,880 --> 00:23:40,760 Speaker 1: Let's give the guy a pass there I suppose, Um, 384 00:23:40,800 --> 00:23:45,479 Speaker 1: but Al was the guy who was his trusty sidekick. UM. 385 00:23:45,560 --> 00:23:48,560 Speaker 1: And he also I think hosted like an iteration of 386 00:23:48,560 --> 00:23:51,040 Speaker 1: family feud for a time. He's getting in there. He 387 00:23:51,119 --> 00:23:52,760 Speaker 1: was getting an n f T S but then he 388 00:23:52,880 --> 00:23:54,560 Speaker 1: was kind of shamed for it on the internet and 389 00:23:54,600 --> 00:23:57,199 Speaker 1: he decided to to not do it. UM. Point is, 390 00:23:57,240 --> 00:24:00,520 Speaker 1: it's it's starting to reach peak saturate, and I guess 391 00:24:00,520 --> 00:24:03,160 Speaker 1: because a lot of like these boomer types are getting 392 00:24:03,200 --> 00:24:05,560 Speaker 1: into it themselves and it's starting to feel a little 393 00:24:05,560 --> 00:24:09,800 Speaker 1: bit more like we're reaching the implosion point for this. UM. 394 00:24:09,840 --> 00:24:16,880 Speaker 1: But not before reality television star uh Stephanie Matto um 395 00:24:17,160 --> 00:24:23,159 Speaker 1: decided to take the the n f T market by storm. Um. 396 00:24:23,200 --> 00:24:25,640 Speaker 1: You may have read or heard that Stephanie Mattow who 397 00:24:25,720 --> 00:24:27,639 Speaker 1: is I think she was a She was contested on 398 00:24:27,760 --> 00:24:32,600 Speaker 1: the Bachelor. If I'm excuse me, all of those shows 399 00:24:32,600 --> 00:24:34,600 Speaker 1: are interchangeable to me. In my mind, I have not 400 00:24:34,640 --> 00:24:37,359 Speaker 1: seen any of them between The Bachelor, The Bachelor at 401 00:24:37,400 --> 00:24:40,560 Speaker 1: ninety Day fiance Temptation Island, whatever, All of those are 402 00:24:40,600 --> 00:24:43,760 Speaker 1: just kind of mashed into this weird, a morphous blob 403 00:24:43,800 --> 00:24:46,040 Speaker 1: in my mind, and no shade anyone that likes them. 404 00:24:46,080 --> 00:24:47,720 Speaker 1: I have been forced to watch them before, and I 405 00:24:47,800 --> 00:24:52,400 Speaker 1: understand the appeal. They are precision designed to keep you 406 00:24:52,520 --> 00:24:55,960 Speaker 1: invested and to keep you waiting. They're just like manufactured 407 00:24:56,000 --> 00:25:00,280 Speaker 1: cliffhanger after manufactured cliffhanger. I get it. Um it's it's fun, 408 00:25:00,760 --> 00:25:04,600 Speaker 1: purient trash, and I shade on no one for enjoying 409 00:25:04,640 --> 00:25:06,840 Speaker 1: these shows. I only know about it because of an 410 00:25:06,880 --> 00:25:12,800 Speaker 1: episode of My Mama told me just because uh pals 411 00:25:12,920 --> 00:25:15,960 Speaker 1: my pals and you guys pals too. I think Anna 412 00:25:16,320 --> 00:25:20,760 Speaker 1: and Miles from Daily Zeitgeist have a ninety day Fiancee 413 00:25:20,920 --> 00:25:24,520 Speaker 1: podcast which is pretty funny. I believe. Isn't it called 414 00:25:24,600 --> 00:25:26,920 Speaker 1: like I Present You This Rose or something like that, 415 00:25:27,040 --> 00:25:29,439 Speaker 1: or I believe that's the one. I think they're making it, 416 00:25:29,480 --> 00:25:32,600 Speaker 1: so that's that's the Rose one. See, I thought the 417 00:25:32,720 --> 00:25:36,280 Speaker 1: Rose was a Bachelor thing. Are some of some of 418 00:25:36,320 --> 00:25:39,960 Speaker 1: these are spinoffs? I think anyway, my buddy, my buddy 419 00:25:39,960 --> 00:25:42,440 Speaker 1: Matt Riddle, friend of the show and the network, UM 420 00:25:42,640 --> 00:25:46,119 Speaker 1: and one of my oldest pals. His partner UM is 421 00:25:46,280 --> 00:25:52,120 Speaker 1: a producer, I believe um in In any case, Uh, 422 00:25:52,160 --> 00:25:56,959 Speaker 1: Stephanie Mattow, big rising star. The problem with you know, 423 00:25:57,119 --> 00:25:59,440 Speaker 1: being a contestant on a show like that is once 424 00:25:59,480 --> 00:26:02,520 Speaker 1: the shows over, you gotta kind of parlay that fifteen 425 00:26:02,560 --> 00:26:05,000 Speaker 1: minutes of fame into something else or like, you know, 426 00:26:05,080 --> 00:26:09,040 Speaker 1: go back to working a regular job. Um. And Stephanie 427 00:26:09,200 --> 00:26:11,880 Speaker 1: Mattow did that with Gusto. She started off doing sort 428 00:26:11,880 --> 00:26:14,600 Speaker 1: of an only fans type situation where people subscribe and 429 00:26:14,640 --> 00:26:16,880 Speaker 1: sort of like a you know, Patreon kind of thing, 430 00:26:17,160 --> 00:26:20,399 Speaker 1: and she was getting a lot of requests from her patrons. 431 00:26:21,160 --> 00:26:29,080 Speaker 1: UM that she considers selling her farts. Yeah that did she? Like, 432 00:26:30,080 --> 00:26:32,400 Speaker 1: did she offer a lot of toots on the show 433 00:26:32,520 --> 00:26:35,680 Speaker 1: that she was on or something? Is that? Like it's 434 00:26:35,680 --> 00:26:43,639 Speaker 1: a festing Matt matt my lovely summer child. Some people 435 00:26:44,119 --> 00:26:48,880 Speaker 1: are into some weird uh, like smelling other people's farts 436 00:26:49,359 --> 00:26:51,920 Speaker 1: or in Asia in particular, at least that's where it 437 00:26:51,920 --> 00:26:54,000 Speaker 1: got it start. You may have heard of the trend 438 00:26:54,200 --> 00:26:59,200 Speaker 1: of being able to buy women's used underwear in vending machines. 439 00:27:00,000 --> 00:27:03,560 Speaker 1: As a previous iteration of that that was like underage girls, 440 00:27:03,560 --> 00:27:07,400 Speaker 1: and I believe then that's illegal. Yeah, well, Japan actually 441 00:27:07,480 --> 00:27:10,840 Speaker 1: just raised its age of consent, which was formally fourteen. 442 00:27:11,359 --> 00:27:16,040 Speaker 1: Uh yeah, but used underwear fetishization is not. I think 443 00:27:16,080 --> 00:27:19,879 Speaker 1: it would be dinging um dinging our Pacific neighbors to 444 00:27:19,920 --> 00:27:23,720 Speaker 1: say it was just stuck to that part of the world. 445 00:27:23,720 --> 00:27:26,600 Speaker 1: The vending machine thing was real, though from what I know, 446 00:27:26,680 --> 00:27:29,119 Speaker 1: it's just no longer around now. But you can go 447 00:27:29,160 --> 00:27:32,040 Speaker 1: anywhere on the internet if you are so inclined. If 448 00:27:32,040 --> 00:27:35,080 Speaker 1: that bags your badgers, you can go online and find 449 00:27:35,119 --> 00:27:39,399 Speaker 1: people who will gladly sell you purportedly used underwear, and 450 00:27:39,400 --> 00:27:42,600 Speaker 1: if they're consenting adults. You know. Loneliness is a crazy thing, 451 00:27:42,720 --> 00:27:46,240 Speaker 1: do you, well? You lonely or not lonely? Do you? Indeed? 452 00:27:46,280 --> 00:27:48,280 Speaker 1: And why the hell not make a little money. It's 453 00:27:48,320 --> 00:27:51,240 Speaker 1: a service people want. Why shouldn't they get it? And 454 00:27:51,280 --> 00:27:55,680 Speaker 1: why shouldn't you benefit for providing him? So so Matto decided, 455 00:27:55,760 --> 00:27:58,919 Speaker 1: okay um, did a little homework, potentially found some of 456 00:27:58,920 --> 00:28:00,600 Speaker 1: the stories that we're talking about, and maybe there's a 457 00:28:00,680 --> 00:28:03,119 Speaker 1: there's a there's a market for this, because as we know, 458 00:28:03,160 --> 00:28:05,480 Speaker 1: it's a market for just about everything. Um. So she 459 00:28:05,840 --> 00:28:10,119 Speaker 1: started uh farting in two little cute little mason jars 460 00:28:10,760 --> 00:28:15,080 Speaker 1: and uh and bottling them up. And at first she 461 00:28:15,240 --> 00:28:16,679 Speaker 1: was she just like, I want to do just like 462 00:28:16,760 --> 00:28:19,800 Speaker 1: cut like a couple dozen of these like a test, 463 00:28:19,880 --> 00:28:23,040 Speaker 1: see what happens. And uh, she did that, and they 464 00:28:23,160 --> 00:28:29,120 Speaker 1: sold like hot cakes, hot fart cakes. Um, presumably they're 465 00:28:29,119 --> 00:28:31,640 Speaker 1: not hot anymore once they reached the recipient, But um, 466 00:28:31,720 --> 00:28:34,920 Speaker 1: I think they come with instructions, right, I would hope, So, 467 00:28:35,200 --> 00:28:38,760 Speaker 1: I would hope, so yeah, them gently gently lest you 468 00:28:39,680 --> 00:28:44,120 Speaker 1: adulterate the pure assence that it's contained within. She took 469 00:28:44,160 --> 00:28:47,920 Speaker 1: it seriously right, like and why wouldn't she have taken 470 00:28:47,920 --> 00:28:50,520 Speaker 1: it seriously right because I mean she she the test 471 00:28:50,880 --> 00:28:53,600 Speaker 1: was a resounding success. You know, she did a handful 472 00:28:53,640 --> 00:28:57,680 Speaker 1: of these. They sold really really well. Um, she raised 473 00:28:57,680 --> 00:28:59,720 Speaker 1: the price. I think initially they were like fifty dollars 474 00:28:59,800 --> 00:29:00,920 Speaker 1: each something like that, and then it was like a 475 00:29:00,960 --> 00:29:03,720 Speaker 1: hundred dollars each. She ended up topping out at a 476 00:29:03,800 --> 00:29:11,120 Speaker 1: thousand dollars each for these jarred farts, and apparently reportedly 477 00:29:11,320 --> 00:29:20,160 Speaker 1: made around two hundred thousand dollars selling these until sadly, 478 00:29:20,800 --> 00:29:24,719 Speaker 1: her health began to to to take a turn as 479 00:29:24,800 --> 00:29:29,760 Speaker 1: a result of all this farting. Wait, because Ben mentioned 480 00:29:29,800 --> 00:29:32,120 Speaker 1: a second ago diet that she was taking really seriously, 481 00:29:32,360 --> 00:29:37,240 Speaker 1: she needed to produce only the finest uh farts um 482 00:29:37,400 --> 00:29:39,440 Speaker 1: and and do so. You know, it's somewhat in an 483 00:29:39,480 --> 00:29:41,720 Speaker 1: assembly line fashion. I mean, I don't think you or 484 00:29:41,760 --> 00:29:44,160 Speaker 1: I could just summon a fart out of nowhere right now. 485 00:29:44,360 --> 00:29:50,920 Speaker 1: And one person it was gross you a friend? Was 486 00:29:50,960 --> 00:29:53,760 Speaker 1: it like? Was it like the fartestree technique where you 487 00:29:53,760 --> 00:29:56,480 Speaker 1: sort of suck air in your butt and then yeah, 488 00:29:56,640 --> 00:30:00,640 Speaker 1: that's a chance, like the pets a law to I 489 00:30:00,640 --> 00:30:03,520 Speaker 1: would argue, I would argue, not a true fart. That 490 00:30:03,680 --> 00:30:06,440 Speaker 1: is a false fart. And this person, I don't know 491 00:30:06,440 --> 00:30:10,040 Speaker 1: about Matt's person, but this person wasn't boofing air and 492 00:30:10,040 --> 00:30:13,600 Speaker 1: then expelling it. They they at least part of the bitum. 493 00:30:13,880 --> 00:30:20,360 Speaker 1: Because I declined to watch the entire process unclothed, even 494 00:30:20,360 --> 00:30:23,440 Speaker 1: though she and I were friends, I was, there's a line, 495 00:30:23,880 --> 00:30:27,400 Speaker 1: and you know, our friendship is more important to me 496 00:30:27,720 --> 00:30:31,200 Speaker 1: than proving this fart thing. But it's a rare thing, right, 497 00:30:31,280 --> 00:30:33,360 Speaker 1: we might have a few people in the audience today 498 00:30:33,720 --> 00:30:36,320 Speaker 1: who can do that. But your point stands, I would argue, 499 00:30:36,400 --> 00:30:40,479 Speaker 1: because most people who need to produce a fart, if 500 00:30:40,480 --> 00:30:43,280 Speaker 1: they find themselves in that situation, UH, do have to 501 00:30:43,320 --> 00:30:45,640 Speaker 1: alter their diet because farts are a product of your 502 00:30:45,640 --> 00:30:48,920 Speaker 1: gut biome. Right, That's exactly right. And um, and Stephanie 503 00:30:48,960 --> 00:30:52,400 Speaker 1: Maddow knew this, uh. And I don't know if she 504 00:30:52,440 --> 00:30:54,360 Speaker 1: had like a fart consultant or something like that, but 505 00:30:54,440 --> 00:30:57,320 Speaker 1: she found a diet of like, you know that the 506 00:30:57,320 --> 00:30:59,120 Speaker 1: stuff you would imagine, I guess you only need to 507 00:30:59,120 --> 00:31:01,120 Speaker 1: consult and we all know it makes you fart, things 508 00:31:01,160 --> 00:31:05,040 Speaker 1: like beans and and lots of fibers, foods, you know, 509 00:31:05,160 --> 00:31:07,760 Speaker 1: things like that. And she was consuming so much of 510 00:31:07,760 --> 00:31:11,080 Speaker 1: this that one day she woke up, you know, I guess, 511 00:31:11,080 --> 00:31:15,520 Speaker 1: presumably to do her daily fart jarring, and she felt 512 00:31:16,320 --> 00:31:20,480 Speaker 1: an unpleasant sensation in her abdomen, Darry say, stinging, kind 513 00:31:20,480 --> 00:31:23,800 Speaker 1: of like sharp shooting pain. Um. And you know, being 514 00:31:23,840 --> 00:31:26,640 Speaker 1: someone who's a bit of a health nut and very 515 00:31:26,680 --> 00:31:30,080 Speaker 1: aware of her her body, Um, she went to the 516 00:31:30,480 --> 00:31:33,600 Speaker 1: er and the doctor. She didn't immediately cop to the 517 00:31:33,720 --> 00:31:36,160 Speaker 1: jarring of the farts, but she did speak to the 518 00:31:36,200 --> 00:31:39,120 Speaker 1: diet and the doctor said, hey, this is bad, this 519 00:31:39,160 --> 00:31:40,560 Speaker 1: is not good for you. I don't know if it's 520 00:31:40,560 --> 00:31:43,760 Speaker 1: something that was particular to her, but it was, I mean, 521 00:31:43,800 --> 00:31:47,120 Speaker 1: that was causing her problems. So she had to change 522 00:31:47,120 --> 00:31:51,000 Speaker 1: her business model. And that's what she changed. Do you 523 00:31:51,120 --> 00:31:55,280 Speaker 1: do you think that's real or that's a story to 524 00:31:55,280 --> 00:31:58,960 Speaker 1: to make the next move make more sense. I don't know, man, 525 00:31:59,000 --> 00:32:01,920 Speaker 1: She's only well, let's let's let's go back to that 526 00:32:01,960 --> 00:32:05,760 Speaker 1: in a second. Map Okay, okay, a second. Um. You 527 00:32:05,840 --> 00:32:08,120 Speaker 1: know where I'm going with this. Based on the preamble 528 00:32:08,160 --> 00:32:11,040 Speaker 1: of this story. Um, she decided to make the leap 529 00:32:11,160 --> 00:32:16,800 Speaker 1: into n f t S non fungible tokens. Um. And again, 530 00:32:17,120 --> 00:32:19,880 Speaker 1: they can be many things, but they often are kind 531 00:32:19,880 --> 00:32:24,680 Speaker 1: of goofy little cartoons that are you know, unique that 532 00:32:24,960 --> 00:32:27,240 Speaker 1: if you do a line of them, each one can 533 00:32:27,240 --> 00:32:31,280 Speaker 1: only be owned once. Um. And that's exactly what she did. 534 00:32:31,320 --> 00:32:35,400 Speaker 1: And they these little cartoons are little jars with stoppers 535 00:32:35,480 --> 00:32:38,280 Speaker 1: in them of varying types. Um. Looking at some right, 536 00:32:38,320 --> 00:32:40,040 Speaker 1: you can actually go for yourself and check it out 537 00:32:40,080 --> 00:32:42,240 Speaker 1: for yourself if you want to get the website is 538 00:32:42,520 --> 00:32:44,160 Speaker 1: I'm just saying if anybody that wants to. It's just 539 00:32:44,320 --> 00:32:47,720 Speaker 1: totally s f it's it's sf w um it is 540 00:32:47,920 --> 00:32:53,960 Speaker 1: fart jars n ft dot com. No, it's fart jar 541 00:32:54,120 --> 00:32:59,880 Speaker 1: sniffed dot com. Yeah, that's I'm sure that was not 542 00:33:00,080 --> 00:33:02,960 Speaker 1: lost on I mean, that's pretty pretty brilliant domain. I'm 543 00:33:03,000 --> 00:33:05,760 Speaker 1: surprised nobody had gotten that one already, and if they did, 544 00:33:05,760 --> 00:33:08,200 Speaker 1: they probably collected a pretty penny for it. But yeah, 545 00:33:08,280 --> 00:33:12,880 Speaker 1: fart all right, Oh by fart jar sniffed dot com 546 00:33:13,000 --> 00:33:15,440 Speaker 1: exists and you can go there right now. Their tagline 547 00:33:15,520 --> 00:33:18,680 Speaker 1: is imagine the smell, because that's the best you're gonna do, 548 00:33:18,840 --> 00:33:22,440 Speaker 1: because it's it's like, imagine main I brought it back 549 00:33:24,440 --> 00:33:28,200 Speaker 1: so um. By going to this website, you can take 550 00:33:28,240 --> 00:33:30,920 Speaker 1: a look browse their wares. There's one with like a 551 00:33:30,960 --> 00:33:33,640 Speaker 1: little top hat. There's one where the stopper is a 552 00:33:33,760 --> 00:33:37,360 Speaker 1: butt itself with a little poot air stream coming out, 553 00:33:37,680 --> 00:33:40,640 Speaker 1: and some of those kind of goofy emoji glasses. Uhs. 554 00:33:40,640 --> 00:33:42,640 Speaker 1: One this guy looks crazy. He's got like a twitching 555 00:33:42,720 --> 00:33:45,280 Speaker 1: eye and there's a plunger on his head. Uh. This 556 00:33:45,360 --> 00:33:47,360 Speaker 1: dude here looks like he's kind of spooky. He's kind 557 00:33:47,360 --> 00:33:49,640 Speaker 1: of doing these ghost fingers, and there's like kind of 558 00:33:49,680 --> 00:33:52,520 Speaker 1: weird like mad scientist chemical fumes coming out of the 559 00:33:52,520 --> 00:33:54,480 Speaker 1: top that one doesn't look like as a stopper at all, 560 00:33:55,160 --> 00:33:58,640 Speaker 1: one with a doughnut. Um. The list goes on, and 561 00:33:58,720 --> 00:34:01,880 Speaker 1: you know it benefits the creator or the person can 562 00:34:01,920 --> 00:34:05,040 Speaker 1: being paid for these to make as many as possible. Uh. 563 00:34:05,080 --> 00:34:08,680 Speaker 1: They go for about a hundred fifty bucks in the 564 00:34:08,760 --> 00:34:13,239 Speaker 1: form of point point oh five ethereum um, because that 565 00:34:13,360 --> 00:34:15,319 Speaker 1: is what you paid for n f T s with 566 00:34:15,440 --> 00:34:20,359 Speaker 1: I think if they're exclusively on the ethereum um chain. So, Matt, 567 00:34:20,400 --> 00:34:23,480 Speaker 1: to answer your previous querry about the narrative, whether it 568 00:34:23,520 --> 00:34:25,960 Speaker 1: was true or not, I can't say for sure, but 569 00:34:26,040 --> 00:34:28,080 Speaker 1: I would say that she was getting a thousand bucks 570 00:34:28,280 --> 00:34:31,320 Speaker 1: a fart before and now she's only getting a hundred 571 00:34:31,320 --> 00:34:33,279 Speaker 1: and fifty bucks for these fake ones. Granted, you could 572 00:34:33,320 --> 00:34:35,160 Speaker 1: scale these and you could do more of these, and 573 00:34:35,400 --> 00:34:37,759 Speaker 1: but you might be onto something, Matt, because she is 574 00:34:37,760 --> 00:34:42,160 Speaker 1: still she hasn't completely stopped for farting in jars. If 575 00:34:42,200 --> 00:34:44,960 Speaker 1: you buy enough of these, there's actually, uh, there's like 576 00:34:45,040 --> 00:34:49,680 Speaker 1: some some benefits, um. She You can actually get a 577 00:34:49,760 --> 00:34:53,000 Speaker 1: real jarred fart if you collect a certain number of these. 578 00:34:53,040 --> 00:34:55,560 Speaker 1: It's almost like getting like punch cards and you're like, 579 00:34:55,680 --> 00:35:00,200 Speaker 1: you know whatever, choose your chain, restaurant location or like 580 00:35:00,360 --> 00:35:05,600 Speaker 1: weed shops exactly. And a big thing in cryptocurrency and 581 00:35:05,640 --> 00:35:09,200 Speaker 1: in different you know, cryptocurrencies and different n f t 582 00:35:09,400 --> 00:35:12,239 Speaker 1: s is what is the use case? That is a 583 00:35:12,320 --> 00:35:15,080 Speaker 1: question that's always asked, like is a is a particular 584 00:35:15,120 --> 00:35:18,279 Speaker 1: cryptocurrency viable? The question that's asked is what is the 585 00:35:18,400 --> 00:35:21,520 Speaker 1: use case? Is it good for? Like smart contracts? Is 586 00:35:21,520 --> 00:35:24,480 Speaker 1: it good for certain types of transactions. There's like different 587 00:35:24,480 --> 00:35:27,160 Speaker 1: ones that are built on different technology or coding or 588 00:35:27,200 --> 00:35:30,120 Speaker 1: whatever that are good for different things, And sometimes whether 589 00:35:30,200 --> 00:35:32,279 Speaker 1: one does better or another can depend or if it 590 00:35:32,280 --> 00:35:35,200 Speaker 1: has more like long term viability depends on the use case. 591 00:35:35,239 --> 00:35:37,680 Speaker 1: So this is a great example of someone kind of 592 00:35:37,760 --> 00:35:41,839 Speaker 1: understanding that uh and and just basically bullshitting their way 593 00:35:41,880 --> 00:35:46,280 Speaker 1: through it. Pun absolutely intended, so utility on the website. 594 00:35:46,280 --> 00:35:50,080 Speaker 1: According to fart jar sniff dot com, uh fart jar 595 00:35:50,320 --> 00:35:52,440 Speaker 1: n f t s have four use cases that make 596 00:35:52,520 --> 00:35:57,680 Speaker 1: owning them a blast. Okay. One access to steph for 597 00:35:57,800 --> 00:36:00,719 Speaker 1: pleasure or business. Each toe can hold her will be 598 00:36:00,760 --> 00:36:03,880 Speaker 1: given access to a private discord channel with steph Some 599 00:36:04,000 --> 00:36:05,960 Speaker 1: of you may want to be able to communicate with 600 00:36:06,000 --> 00:36:09,720 Speaker 1: her in an intimate setting, whilst others may have questions 601 00:36:09,760 --> 00:36:13,480 Speaker 1: about becoming a fart entrepreneur yourself. Uh. And then there 602 00:36:13,480 --> 00:36:16,520 Speaker 1: are other you know, level zoom meetings. The collector with 603 00:36:16,560 --> 00:36:18,359 Speaker 1: the most fart JR n f T s week one 604 00:36:18,440 --> 00:36:20,560 Speaker 1: after launch, we'll have the opportunity to spend thirty minutes 605 00:36:20,560 --> 00:36:23,120 Speaker 1: on a zoom with Stephanie. Um. And then it goes 606 00:36:23,160 --> 00:36:25,480 Speaker 1: on to second and third most fart jars in the 607 00:36:25,520 --> 00:36:28,520 Speaker 1: time on the zoom diminishes. Then this one I kind 608 00:36:28,520 --> 00:36:31,759 Speaker 1: of like um mentor program. Become a girl boss with 609 00:36:31,840 --> 00:36:33,920 Speaker 1: access to a private group with staff where you can 610 00:36:33,960 --> 00:36:36,480 Speaker 1: be mentored on how to build a brand, become a 611 00:36:36,520 --> 00:36:40,080 Speaker 1: content creator, and become a fart entrepreneur. Uh. And then 612 00:36:40,160 --> 00:36:43,560 Speaker 1: for on top of the fart tastic use cases above, 613 00:36:43,840 --> 00:36:46,160 Speaker 1: the artwork can be used as a profile picture so 614 00:36:46,200 --> 00:36:49,000 Speaker 1: that you can proudly display your conclusion in the most 615 00:36:49,040 --> 00:36:53,040 Speaker 1: explosive good Lord, the fart puns never stopped community in 616 00:36:53,160 --> 00:36:58,160 Speaker 1: the n f T space. Um. Again, this is no shame, 617 00:36:58,280 --> 00:37:00,600 Speaker 1: this is clever. If she makes money on this, more 618 00:37:00,640 --> 00:37:03,680 Speaker 1: power to are absolutely, I just think it just shows 619 00:37:04,200 --> 00:37:06,920 Speaker 1: how stupid and out of control this n f T 620 00:37:07,080 --> 00:37:10,160 Speaker 1: space has gotten. Um And there's a really great article 621 00:37:10,880 --> 00:37:15,800 Speaker 1: on bitcoin dot com that has some quotes for Stephanie 622 00:37:16,400 --> 00:37:21,160 Speaker 1: that I think are maybe overstating the importance of this, 623 00:37:21,280 --> 00:37:24,680 Speaker 1: the cultural value. I get where she's going, where she's 624 00:37:24,719 --> 00:37:27,640 Speaker 1: coming from, but it almost like makes it sound like satire, 625 00:37:27,680 --> 00:37:30,959 Speaker 1: and I think it diminishes what she's actually trying to say, 626 00:37:31,960 --> 00:37:35,600 Speaker 1: which is this fart jars are all about taking ownership 627 00:37:35,600 --> 00:37:38,480 Speaker 1: of your body, your inner worth, with an added with 628 00:37:38,840 --> 00:37:42,200 Speaker 1: of creative genius. Making a statement and an impact is 629 00:37:42,200 --> 00:37:46,560 Speaker 1: not about pushing a fart. It's about pushing yourself to 630 00:37:46,719 --> 00:37:52,799 Speaker 1: do anything you set your mind to. Umm, well, I've 631 00:37:52,880 --> 00:37:58,160 Speaker 1: got a lot of Mason jars around the house, so yeah, 632 00:37:58,200 --> 00:38:01,000 Speaker 1: this is yeah. I don't know what to say. No, 633 00:38:01,760 --> 00:38:05,720 Speaker 1: thank you for bringing this to our attention. You're so welcome, guys. 634 00:38:06,239 --> 00:38:08,480 Speaker 1: I'm sorry. I just you know, I just think this 635 00:38:08,520 --> 00:38:12,040 Speaker 1: is just such an interesting extreme you know, And I 636 00:38:12,040 --> 00:38:15,080 Speaker 1: mean it'll probably get more extreme than this, because you 637 00:38:15,120 --> 00:38:17,600 Speaker 1: can you can mint anything as an n f T 638 00:38:17,719 --> 00:38:22,120 Speaker 1: as long as it exists in digital form um. Maybe 639 00:38:22,160 --> 00:38:24,920 Speaker 1: maybe we're looking at a future Internet where where smells 640 00:38:25,000 --> 00:38:30,080 Speaker 1: can be transmitted digitally. There's I don't know if you 641 00:38:30,239 --> 00:38:38,239 Speaker 1: saw the news. Yes, I don't know, story for another day, 642 00:38:38,280 --> 00:38:44,399 Speaker 1: I think, Okay, fair enough, that's exactly what I thought. Wow, well, 643 00:38:45,120 --> 00:38:48,799 Speaker 1: not much else to say. I guess, um, I don't know, 644 00:38:48,960 --> 00:38:52,279 Speaker 1: but I've interested in particular, like your your thoughts in 645 00:38:52,320 --> 00:38:55,279 Speaker 1: the dystopian nous of this or if you see it 646 00:38:55,320 --> 00:38:58,719 Speaker 1: that way, like do you do you feel me on 647 00:38:58,800 --> 00:39:02,000 Speaker 1: the whole? Like you know, the absurdity of the art 648 00:39:02,040 --> 00:39:05,640 Speaker 1: market and how you know, like I mean, banana taped 649 00:39:05,640 --> 00:39:07,719 Speaker 1: to a wall sold for like a gazillion dollars or 650 00:39:07,760 --> 00:39:10,560 Speaker 1: whatever it like art art bassil and like is this 651 00:39:10,640 --> 00:39:14,720 Speaker 1: just kind of like a digital extension of that? And 652 00:39:14,719 --> 00:39:17,040 Speaker 1: and do you see it in the same satirical light 653 00:39:17,080 --> 00:39:19,200 Speaker 1: that I'm seeing in or do you am I missing something? 654 00:39:19,280 --> 00:39:21,960 Speaker 1: Or do you see it differently? No? I agree emberor 655 00:39:22,000 --> 00:39:25,960 Speaker 1: has no clothes and people, Uh, if people are consenting adults. 656 00:39:26,560 --> 00:39:28,399 Speaker 1: I believe people should be able to do what they 657 00:39:28,440 --> 00:39:31,720 Speaker 1: want so they're not harming other people. Yeah, now that's true. 658 00:39:31,920 --> 00:39:34,000 Speaker 1: I just want to add to a lot of this stuff. 659 00:39:34,080 --> 00:39:37,120 Speaker 1: Is is you know, devoted to people or geared towards 660 00:39:37,160 --> 00:39:39,680 Speaker 1: people that have made a lot of money in the 661 00:39:39,719 --> 00:39:42,440 Speaker 1: crypto space, but it's not it's not the easiest thing 662 00:39:42,480 --> 00:39:45,080 Speaker 1: in the world to convert your cryptocurrency back into like, 663 00:39:45,160 --> 00:39:47,520 Speaker 1: you know, fiat currency. I mean it is, it's not 664 00:39:47,520 --> 00:39:51,040 Speaker 1: not easy, but it takes some doing, right. So, a 665 00:39:51,040 --> 00:39:53,799 Speaker 1: lot of people that have like ten bitcoin or whatever, 666 00:39:53,840 --> 00:39:56,880 Speaker 1: which is like, you know, a couple hundreds several hundred 667 00:39:56,880 --> 00:39:58,719 Speaker 1: thousand dollars funds, Like I think a bitcoin, it's like 668 00:39:59,000 --> 00:40:00,799 Speaker 1: it's it's differ a little b right now. I think 669 00:40:00,800 --> 00:40:06,279 Speaker 1: it's around dollars something like that. Um, they're looking at 670 00:40:06,280 --> 00:40:09,560 Speaker 1: everything not in fiat like we you're not looking at 671 00:40:09,600 --> 00:40:13,399 Speaker 1: your you know, your crypto wallet necessarily and how much 672 00:40:13,440 --> 00:40:15,279 Speaker 1: cash it's worth all the time. You're looking at it 673 00:40:15,560 --> 00:40:19,440 Speaker 1: in a different scale. So spending point oh five ethereum 674 00:40:19,640 --> 00:40:23,000 Speaker 1: on a cartoon of a fart jar might be just 675 00:40:23,120 --> 00:40:27,680 Speaker 1: the the um um novelty that someone would just totally 676 00:40:27,800 --> 00:40:31,560 Speaker 1: click instantly without giving a much thought. But then if 677 00:40:31,560 --> 00:40:33,160 Speaker 1: you think about it in the real world of like 678 00:40:33,200 --> 00:40:36,239 Speaker 1: would you drop a hundred and fifty dollars out of 679 00:40:36,280 --> 00:40:40,640 Speaker 1: your bank account into a piece of digital art unless 680 00:40:40,640 --> 00:40:42,799 Speaker 1: it was just super super cool and like you could 681 00:40:42,800 --> 00:40:45,560 Speaker 1: like display it in some interesting way, probably not so 682 00:40:45,640 --> 00:40:48,160 Speaker 1: much so I think this is like preying on people 683 00:40:48,200 --> 00:40:50,680 Speaker 1: that are listless and board on the internet and have 684 00:40:50,880 --> 00:40:53,440 Speaker 1: like all this kind of cryptocurrency to play with. But 685 00:40:53,480 --> 00:40:56,160 Speaker 1: then again, this is also kind of playing toward these 686 00:40:56,440 --> 00:40:59,960 Speaker 1: people that have very specific fetishes, and very specific fetish 687 00:41:00,120 --> 00:41:06,600 Speaker 1: is toward a particular talent in particular individual. So more 688 00:41:06,600 --> 00:41:09,920 Speaker 1: power to them. But also it's been weird. So with that, 689 00:41:10,440 --> 00:41:12,279 Speaker 1: it's another quick break and I'll be back with more 690 00:41:12,320 --> 00:41:23,560 Speaker 1: strange news. We have returned for another piece of strange news. 691 00:41:23,719 --> 00:41:26,920 Speaker 1: Wanted to end on this one because it is uh, 692 00:41:27,239 --> 00:41:31,240 Speaker 1: potentially life changing for a lot of people. It's gross, 693 00:41:31,560 --> 00:41:35,680 Speaker 1: it's philosophically fraught, i would say, and it's going to 694 00:41:35,800 --> 00:41:39,279 Speaker 1: take us to many, many strange places. What I'd like 695 00:41:39,320 --> 00:41:41,200 Speaker 1: to do is set up I'd like to set up 696 00:41:41,239 --> 00:41:44,320 Speaker 1: some facts here and then I'd like for us to 697 00:41:44,680 --> 00:41:46,880 Speaker 1: you know, kind of round table this and the fellow 698 00:41:46,880 --> 00:41:50,439 Speaker 1: conspiracy realist please write in about this, because we're gonna 699 00:41:50,480 --> 00:41:55,400 Speaker 1: ask some questions that have haunted people for a long time. 700 00:41:55,440 --> 00:41:58,320 Speaker 1: But before we get to those questions, let's start with 701 00:41:58,560 --> 00:42:03,879 Speaker 1: some statistics. If you have ever known someone or been 702 00:42:03,920 --> 00:42:07,880 Speaker 1: related to someone who has had to have an organ transplant, 703 00:42:08,239 --> 00:42:11,320 Speaker 1: you know that it is a very dangerous process. Even 704 00:42:11,360 --> 00:42:14,120 Speaker 1: when everything goes well, you have to find a donor. 705 00:42:14,719 --> 00:42:19,440 Speaker 1: The organ, whatever it may be, has to be transported viably. 706 00:42:19,880 --> 00:42:24,759 Speaker 1: There are a lot of rules and laws about the 707 00:42:24,960 --> 00:42:28,799 Speaker 1: organ market. CR earlier episode and video series on the 708 00:42:28,880 --> 00:42:36,080 Speaker 1: Red Market for our YouTube channel. Last year, in the US, 709 00:42:36,080 --> 00:42:40,480 Speaker 1: three hundred and fifty four US residents legally received a 710 00:42:40,640 --> 00:42:44,680 Speaker 1: transplanted organ. More than half of those are kidneys, and 711 00:42:44,760 --> 00:42:48,839 Speaker 1: that comes from the United Network for Organ Sharing. There 712 00:42:48,960 --> 00:42:53,520 Speaker 1: is a huge shortage of organs and a lot of people. 713 00:42:53,719 --> 00:42:57,120 Speaker 1: You know, the process usually goes unless you're rich or 714 00:42:57,320 --> 00:42:59,880 Speaker 1: rich and crooked. You have to get on a waitingly 715 00:43:00,400 --> 00:43:04,240 Speaker 1: for organs. And if you're on that waiting list, whatever 716 00:43:04,280 --> 00:43:08,200 Speaker 1: the organ is about, you're also on a ticking clock. 717 00:43:08,560 --> 00:43:12,040 Speaker 1: About a dozen people on those lists for any organ 718 00:43:12,440 --> 00:43:17,800 Speaker 1: die every single day, just waiting. And the demand has 719 00:43:17,880 --> 00:43:24,920 Speaker 1: historically outpaced the supply because for now, the world's not 720 00:43:25,040 --> 00:43:29,400 Speaker 1: quite dystopian enough for people to be openly killed for 721 00:43:29,440 --> 00:43:34,080 Speaker 1: their organs. Does it happen in some parts of the world, Yeah, 722 00:43:34,239 --> 00:43:38,600 Speaker 1: Kaida and do uh. Some people who are very disadvantaged 723 00:43:38,640 --> 00:43:40,239 Speaker 1: and very poor parts of the world. Did they get 724 00:43:40,239 --> 00:43:45,440 Speaker 1: pressured into selling their organs for peanuts? Yes, absolutely, those 725 00:43:45,440 --> 00:43:52,040 Speaker 1: conspiracies are genuine, But there may be hope. What if 726 00:43:52,360 --> 00:43:56,960 Speaker 1: you went to a doctor and you needed a heart 727 00:43:57,000 --> 00:44:02,680 Speaker 1: transplant and the doctor said, Okay, you're not gonna you know, 728 00:44:02,840 --> 00:44:07,400 Speaker 1: you don't meet the requirements for a human heart, but 729 00:44:07,560 --> 00:44:11,120 Speaker 1: maybe we can do something else, maybe switch it up 730 00:44:11,120 --> 00:44:14,000 Speaker 1: a little bit. Maybe we can give you a heart 731 00:44:14,560 --> 00:44:18,680 Speaker 1: from an animal. And your doctor in this case will one. 732 00:44:18,800 --> 00:44:21,480 Speaker 1: Dr Griffith tells you. Let me be straight with you. 733 00:44:22,080 --> 00:44:24,480 Speaker 1: It's never been done this way before, but I think 734 00:44:24,520 --> 00:44:27,879 Speaker 1: we can do it. What would you say? Just first off, 735 00:44:27,920 --> 00:44:30,279 Speaker 1: what would you say without knowing the animal? Would you 736 00:44:30,280 --> 00:44:31,840 Speaker 1: guys do? But if you didn't know the animal, what 737 00:44:31,880 --> 00:44:35,520 Speaker 1: would you say for me? It depends on how dire 738 00:44:35,600 --> 00:44:40,239 Speaker 1: the situation is, you know, if it's your for me, 739 00:44:40,280 --> 00:44:46,120 Speaker 1: if it was my last ditch effort at possibly surviving, yes, 740 00:44:46,560 --> 00:44:51,000 Speaker 1: I make that decision. Um if not, I don't know. 741 00:44:51,200 --> 00:44:53,200 Speaker 1: It feels like you you'd wait if there was like 742 00:44:53,239 --> 00:44:56,320 Speaker 1: any light, you know, like you, I might get a 743 00:44:56,400 --> 00:45:00,359 Speaker 1: oregan transplant maybe and I might live to get there. 744 00:45:00,560 --> 00:45:04,480 Speaker 1: Probably wouldn't do it? Are we talking about philosophically, are 745 00:45:04,520 --> 00:45:08,360 Speaker 1: we talking about like this is super super experimental or 746 00:45:08,440 --> 00:45:12,640 Speaker 1: does this definitely work? You might die, You will definitely 747 00:45:12,880 --> 00:45:16,600 Speaker 1: if you don't get a new ticker, but you might 748 00:45:16,600 --> 00:45:20,200 Speaker 1: die on the operating table much more likely than if 749 00:45:20,239 --> 00:45:24,200 Speaker 1: you got a proper transplant. Uh. That's the thing. It's 750 00:45:24,239 --> 00:45:27,520 Speaker 1: sort of on the map of medical procedures were we're 751 00:45:27,520 --> 00:45:30,479 Speaker 1: in the edge of the paper where it says here 752 00:45:30,520 --> 00:45:34,759 Speaker 1: be serpents. People weren't quite sure. I'm just wondering if 753 00:45:34,800 --> 00:45:37,400 Speaker 1: like some people might have an issue with getting like 754 00:45:37,440 --> 00:45:40,279 Speaker 1: a non human or get in their body, if they 755 00:45:40,520 --> 00:45:44,960 Speaker 1: hilosophically have some I wouldn't care if I was pretty 756 00:45:44,960 --> 00:45:47,120 Speaker 1: sure it was gonna work or it had a better 757 00:45:47,200 --> 00:45:49,759 Speaker 1: chance of working than I had of living. And the 758 00:45:49,840 --> 00:45:54,280 Speaker 1: other eight transplanters weren't coming absolutely. But this is literally 759 00:45:54,280 --> 00:45:57,960 Speaker 1: a first right, Uh, not quite. We're gonna get into it. 760 00:45:58,239 --> 00:46:01,279 Speaker 1: So the first of its kind. This is like the 761 00:46:01,560 --> 00:46:04,600 Speaker 1: first um kind of like how the Model T is 762 00:46:04,640 --> 00:46:07,600 Speaker 1: not the first car, but it's the car most people 763 00:46:08,120 --> 00:46:11,399 Speaker 1: associate with the dawn of the automobile. This is an 764 00:46:11,440 --> 00:46:16,360 Speaker 1: in that similar situation. This Dr Griffith. Dr Bartley Griffith 765 00:46:17,080 --> 00:46:22,520 Speaker 1: literally said that to one David Bennett, Sr. Of Maryland, 766 00:46:23,000 --> 00:46:27,320 Speaker 1: and the animal in question donating a heart was a pig, 767 00:46:28,040 --> 00:46:32,840 Speaker 1: So luckily, uh, Mr Bennett did not have philosophical or 768 00:46:33,040 --> 00:46:36,600 Speaker 1: religious objections, you know, like, um, if you are in 769 00:46:37,200 --> 00:46:41,200 Speaker 1: if you are from a belief system that precludes or 770 00:46:41,320 --> 00:46:45,520 Speaker 1: prohibits the consumption of pork or the consumption of animal 771 00:46:45,600 --> 00:46:51,000 Speaker 1: products in general, does that violate those, uh, those spiritual 772 00:46:51,040 --> 00:46:53,640 Speaker 1: constraints for you to have the heart of a pig 773 00:46:54,080 --> 00:46:57,800 Speaker 1: beating in your chest. This guy had a life threatening 774 00:46:57,840 --> 00:47:01,960 Speaker 1: heart disease and in an eight our operation just a 775 00:47:02,000 --> 00:47:06,200 Speaker 1: few days ago, he received a heart from a pig, 776 00:47:06,480 --> 00:47:09,640 Speaker 1: and he is alive. The world's eyes are upon him 777 00:47:09,680 --> 00:47:14,200 Speaker 1: to see how this works. People with medical experience in 778 00:47:14,200 --> 00:47:18,000 Speaker 1: the crowd, or people who have lived in the world 779 00:47:18,000 --> 00:47:21,160 Speaker 1: of origin transplants in the crowd, you're already rightly throwing 780 00:47:21,239 --> 00:47:24,040 Speaker 1: up your hand and saying, well, what about the body's 781 00:47:24,120 --> 00:47:27,760 Speaker 1: rejection rate? What about the immune response? Because the body 782 00:47:28,120 --> 00:47:33,359 Speaker 1: doesn't like foreign objects, impersonating body stuff, just just the 783 00:47:33,400 --> 00:47:36,080 Speaker 1: same way that cops don't like people who aren't cops, 784 00:47:36,160 --> 00:47:38,879 Speaker 1: dressing up a cops and arresting people. Right, it makes 785 00:47:38,920 --> 00:47:43,280 Speaker 1: sense and even though that's a not a perfect analogy. 786 00:47:43,440 --> 00:47:48,399 Speaker 1: This was not your garden variety pig. This was, as 787 00:47:48,440 --> 00:47:53,439 Speaker 1: they say, uh, Charlotte's web some pig. This was a 788 00:47:53,520 --> 00:47:58,560 Speaker 1: pig genetically altered by a company in Virginia called Revivicore. 789 00:47:59,040 --> 00:48:04,000 Speaker 1: The pig had genetic modifications and importantly, four of its 790 00:48:04,080 --> 00:48:08,400 Speaker 1: genes were knocked out or inactivated, and one of these 791 00:48:09,480 --> 00:48:14,120 Speaker 1: was a gene that encodes a molecule that causes that 792 00:48:14,280 --> 00:48:20,520 Speaker 1: aggressive rejection response from humans receiving these organs. It makes it, 793 00:48:20,640 --> 00:48:24,600 Speaker 1: you could argue, philosophically, a bit more human. Please do 794 00:48:24,719 --> 00:48:28,240 Speaker 1: check out a fantastic piece of journalism by Ronnie Karen 795 00:48:28,440 --> 00:48:31,640 Speaker 1: Rabin in a first man receives a heart from a 796 00:48:31,680 --> 00:48:35,880 Speaker 1: genetically altered pig. He is alive. This was in the 797 00:48:35,920 --> 00:48:38,680 Speaker 1: New York Times, so it's not you know, weekly World 798 00:48:38,719 --> 00:48:44,000 Speaker 1: News or something. And if he if he survives, and 799 00:48:44,080 --> 00:48:46,719 Speaker 1: if he survives over a long period of time, this 800 00:48:46,800 --> 00:48:50,800 Speaker 1: is gonna be a medical breakthrough for potentially hundreds of thousands, 801 00:48:50,800 --> 00:48:53,440 Speaker 1: if not millions of people. But it's also going to 802 00:48:53,600 --> 00:49:00,759 Speaker 1: put humanity in deep philosophical water. We will be transforming 803 00:49:00,800 --> 00:49:05,839 Speaker 1: people into chimera. Chimera referring to the ancient myth of 804 00:49:06,040 --> 00:49:11,520 Speaker 1: a of an organism that is an amalgamation of different 805 00:49:11,680 --> 00:49:17,040 Speaker 1: animals and chimera. Human chimera technically kind of exists already. 806 00:49:17,080 --> 00:49:20,520 Speaker 1: There's also worked to your question, Matt, there are previous 807 00:49:20,640 --> 00:49:25,920 Speaker 1: cases where people have received replacement heart valves from pigs, 808 00:49:26,000 --> 00:49:28,799 Speaker 1: but never the never the whole thing, you know what 809 00:49:28,840 --> 00:49:31,400 Speaker 1: I mean, Never the whole thing. This also comes on 810 00:49:31,480 --> 00:49:36,600 Speaker 1: the tail of different some real mad science. I usually 811 00:49:36,680 --> 00:49:41,000 Speaker 1: dunk on people for that fatuous idea of the greater good. 812 00:49:41,640 --> 00:49:44,319 Speaker 1: Greater good is a convenient rationalization for a lot of 813 00:49:44,360 --> 00:49:50,000 Speaker 1: horrible things. But there had been earlier tests where they 814 00:49:50,040 --> 00:49:54,800 Speaker 1: took people who were brain dead and put the medically 815 00:49:54,840 --> 00:49:58,040 Speaker 1: alive but on ventilators, and they put these hearts inside 816 00:49:58,120 --> 00:50:01,640 Speaker 1: them to make sure they work for going onto someone 817 00:50:01,800 --> 00:50:05,319 Speaker 1: who you know would have brain activity. So there has 818 00:50:05,360 --> 00:50:08,759 Speaker 1: been a lot of work leading up to this, but 819 00:50:08,840 --> 00:50:10,840 Speaker 1: there and there's a lot of work to go. But 820 00:50:11,080 --> 00:50:14,839 Speaker 1: this is a game changer. Who new pigs would be 821 00:50:15,600 --> 00:50:18,160 Speaker 1: so useful? Also, it must be dangerous to be a pig. 822 00:50:18,160 --> 00:50:20,080 Speaker 1: Now people are using you to figure out how to 823 00:50:20,120 --> 00:50:24,480 Speaker 1: breathe through their butts. They're gonna grow our poor sign friends, 824 00:50:25,239 --> 00:50:30,160 Speaker 1: as as organ farms potentially, And now the question becomes like, 825 00:50:30,600 --> 00:50:33,840 Speaker 1: to me, some of the philosophical quandaries, are is it 826 00:50:33,960 --> 00:50:39,200 Speaker 1: right to do this? Many many people would say yes, absolutely, Uh, 827 00:50:39,239 --> 00:50:42,080 Speaker 1: the life of a pig is not worth the life 828 00:50:42,080 --> 00:50:45,920 Speaker 1: of a human. And already pigs are killed unmasked every 829 00:50:46,000 --> 00:50:49,440 Speaker 1: day to provide pork chops and bacon and so on. 830 00:50:50,400 --> 00:50:54,040 Speaker 1: But there's also a ship of thesis question, right, the 831 00:50:54,080 --> 00:50:57,160 Speaker 1: old the old thought experiment of the ship of thesis 832 00:50:57,880 --> 00:51:01,200 Speaker 1: ask if you take a ship over time, you replace 833 00:51:01,280 --> 00:51:03,600 Speaker 1: it piece by piece by piece until you have ultimately 834 00:51:03,640 --> 00:51:08,239 Speaker 1: replaced everything, every material on that ship, is it still 835 00:51:08,360 --> 00:51:11,240 Speaker 1: the same ship? So I'm wondering if there's a world 836 00:51:11,320 --> 00:51:16,479 Speaker 1: where people's organs get replaced so often that they are 837 00:51:17,640 --> 00:51:21,120 Speaker 1: percentage wise less human, you know what I mean? Where 838 00:51:21,120 --> 00:51:24,520 Speaker 1: where do their rights go in? Yeah, that's a weird one, man. 839 00:51:25,680 --> 00:51:29,080 Speaker 1: I can't imagine that you could. I imagine you could 840 00:51:29,080 --> 00:51:33,040 Speaker 1: overwhelm the human body and you know it's been what 841 00:51:33,040 --> 00:51:34,880 Speaker 1: what is what did you say? Been three days or 842 00:51:34,920 --> 00:51:37,719 Speaker 1: something that the guy has lived or four days or 843 00:51:37,800 --> 00:51:40,160 Speaker 1: something that he's lived thus far with a pig heart 844 00:51:40,200 --> 00:51:43,799 Speaker 1: inside of him. You know, one of the things that 845 00:51:43,840 --> 00:51:48,480 Speaker 1: we know from these kinds of transplants is that it 846 00:51:48,640 --> 00:51:52,840 Speaker 1: isn't necessarily something that's noticed immediately that you know, the 847 00:51:52,880 --> 00:51:55,920 Speaker 1: body rejects something else that's inside of it. It could 848 00:51:56,280 --> 00:51:59,760 Speaker 1: take a month, It could take however, you know, twenty 849 00:52:00,000 --> 00:52:04,640 Speaker 1: five days or something um for for him and the 850 00:52:04,719 --> 00:52:07,160 Speaker 1: you know, the medical professionals figure out that his body's 851 00:52:07,200 --> 00:52:10,319 Speaker 1: rejecting it. Uh. I think we're gonna really like this 852 00:52:10,360 --> 00:52:12,880 Speaker 1: is this is really good? Right, that this is happening. 853 00:52:13,160 --> 00:52:17,480 Speaker 1: I don't until we wait this one procedure out, I 854 00:52:17,520 --> 00:52:20,680 Speaker 1: don't think we can know and if other organs are 855 00:52:20,680 --> 00:52:22,600 Speaker 1: going to get replaced, then I want to ask you 856 00:52:22,640 --> 00:52:27,440 Speaker 1: about the the way that this doctor Griffith figured out 857 00:52:27,480 --> 00:52:31,560 Speaker 1: that he could transplant a pig heart, even genetically modified 858 00:52:31,680 --> 00:52:35,040 Speaker 1: into a human, Like what how did he figure that out? 859 00:52:35,360 --> 00:52:37,520 Speaker 1: There are a lot of very smart people who have 860 00:52:37,640 --> 00:52:42,520 Speaker 1: been working in this field, and uh, Dr Griffith had 861 00:52:42,640 --> 00:52:47,480 Speaker 1: some other folks working with him like Dr Mohammed Mohoieden 862 00:52:48,160 --> 00:52:51,040 Speaker 1: pardon my if I'm mispronouncing there, who is a professor 863 00:52:51,160 --> 00:52:54,359 Speaker 1: surgery at the University of Maryland School of Medicine. And 864 00:52:54,840 --> 00:53:00,000 Speaker 1: they established what they called the Cardiac Zeno transplantation program 865 00:53:00,040 --> 00:53:06,759 Speaker 1: UM in which they successfully implanted pig hearts into baboons 866 00:53:06,800 --> 00:53:12,080 Speaker 1: about fifty baboons over a series of five years. So 867 00:53:12,200 --> 00:53:15,319 Speaker 1: that's pretty impressive. That's ten baboons a year getting a 868 00:53:15,320 --> 00:53:19,319 Speaker 1: pig heart UM, and that's really where they kind of 869 00:53:19,320 --> 00:53:22,839 Speaker 1: cut their teeth. Is there a like a inherent similarity 870 00:53:23,080 --> 00:53:27,160 Speaker 1: between the pig heart and the baboon heart. There are 871 00:53:27,560 --> 00:53:31,640 Speaker 1: like it's it's close enough that you could try to 872 00:53:31,760 --> 00:53:36,160 Speaker 1: jury rick this system, but the obviously like a this 873 00:53:36,280 --> 00:53:39,480 Speaker 1: is not ideal for the baboon goes without saying it's 874 00:53:39,520 --> 00:53:42,000 Speaker 1: not super great for the pig because they're not trading 875 00:53:42,080 --> 00:53:46,080 Speaker 1: hearts UM. Then earlier someone had tried to in the 876 00:53:46,080 --> 00:53:50,000 Speaker 1: field of zeno transplantation, someone had attempted to put a 877 00:53:50,040 --> 00:53:53,720 Speaker 1: baboon heart inside of a human and it it didn't 878 00:53:53,760 --> 00:53:58,000 Speaker 1: work out because of that tendency of the human body 879 00:53:58,040 --> 00:54:02,200 Speaker 1: to reject these words of graphs. You know, a lot 880 00:54:02,239 --> 00:54:06,239 Speaker 1: of this depends on a new experimental drug made by 881 00:54:06,280 --> 00:54:11,400 Speaker 1: an outfit called Kinikusa Pharmaceuticals. This suppressed the immune system, 882 00:54:11,600 --> 00:54:15,560 Speaker 1: it prevented rejection. They also used a new uh new 883 00:54:15,719 --> 00:54:20,840 Speaker 1: mechanical device to keep the pig's heart preserved until surgery. 884 00:54:21,480 --> 00:54:24,080 Speaker 1: And now, you know, pig hearted sounds like an insult, 885 00:54:24,480 --> 00:54:28,080 Speaker 1: but it may in the future just be a condition 886 00:54:28,880 --> 00:54:33,400 Speaker 1: that people have. And I'm wondering, I'm wondering how close 887 00:54:33,600 --> 00:54:39,520 Speaker 1: we get to creating increasingly human like pigs, right, because 888 00:54:39,560 --> 00:54:42,640 Speaker 1: the what one of the best ways, outside of drugs, 889 00:54:42,719 --> 00:54:44,840 Speaker 1: one of the best ways to lower the rate of 890 00:54:44,880 --> 00:54:49,279 Speaker 1: rejection is to continue genetically altering the pigs, you know 891 00:54:49,280 --> 00:54:53,120 Speaker 1: what I mean? Like, how close to the line do 892 00:54:53,160 --> 00:54:56,640 Speaker 1: we want to get? How close should we get? Here's 893 00:54:56,440 --> 00:54:59,239 Speaker 1: a kind of a sci fi question, I guess to 894 00:54:59,239 --> 00:55:02,560 Speaker 1: maybe introduced this, we talked a lot about genetically modifying pigs, 895 00:55:02,600 --> 00:55:04,319 Speaker 1: and in the past we've also talked a lot about 896 00:55:04,320 --> 00:55:09,480 Speaker 1: genetically modifying humans. Um, and the societal kind of breakdown 897 00:55:09,520 --> 00:55:12,479 Speaker 1: that that would encompass, like in terms of, like only 898 00:55:12,520 --> 00:55:16,879 Speaker 1: the wealthy can afford to genetically modify themselves or their 899 00:55:16,960 --> 00:55:19,960 Speaker 1: offspring in such a way as to prevent you know, 900 00:55:20,160 --> 00:55:23,719 Speaker 1: illness and things like that. Um, I wonder if there's 901 00:55:23,719 --> 00:55:27,919 Speaker 1: a way to genetically modify humans that would make them 902 00:55:28,000 --> 00:55:34,000 Speaker 1: more susceptible to accepting say like lab grown you know, 903 00:55:34,440 --> 00:55:38,360 Speaker 1: organ replacements and things like that. Yeah, it's a good question, 904 00:55:38,400 --> 00:55:41,520 Speaker 1: and it's not as sci fi as it might sound 905 00:55:41,640 --> 00:55:45,680 Speaker 1: at first Blush. That world is on the horizon, and 906 00:55:45,760 --> 00:55:51,319 Speaker 1: I would love to spend a future episode on the precipice, 907 00:55:51,360 --> 00:55:56,200 Speaker 1: the bleeding edge or the bleeding scalpel edge of oregan transplantation, 908 00:55:56,239 --> 00:55:59,920 Speaker 1: because it is saving lives, but it's also forcing humanity 909 00:56:00,040 --> 00:56:04,080 Speaker 1: to confront questions that it just has treated as academic 910 00:56:04,239 --> 00:56:06,840 Speaker 1: up to this point. We are going to wrap the 911 00:56:06,880 --> 00:56:10,600 Speaker 1: show up, but I am gonna end on something really cool. 912 00:56:10,719 --> 00:56:13,320 Speaker 1: I'd like to give a shout out to a show 913 00:56:13,400 --> 00:56:16,160 Speaker 1: that I dearly love called Radio Lab. It's up there 914 00:56:16,200 --> 00:56:19,879 Speaker 1: with Hidden Brain in my opinion, and they point out 915 00:56:20,360 --> 00:56:23,840 Speaker 1: or they have an excellent episode on a tiny sugar 916 00:56:23,880 --> 00:56:29,239 Speaker 1: molecule called Alpha gal which is, despite the name, not 917 00:56:29,520 --> 00:56:34,640 Speaker 1: a cool superhero from The Boys comic books. Instead, it 918 00:56:35,000 --> 00:56:40,800 Speaker 1: is this sugar molecule that the genetically altered pigs don't create, 919 00:56:41,160 --> 00:56:43,960 Speaker 1: and this is one of the factors that allows these 920 00:56:44,000 --> 00:56:48,120 Speaker 1: pigs organs to be accepted by human bodies. But coincidentally, 921 00:56:48,640 --> 00:56:52,480 Speaker 1: how weird is this alpha This Alpha stuff is the 922 00:56:52,600 --> 00:56:56,319 Speaker 1: same thing you become allergic to after you get some 923 00:56:56,560 --> 00:57:01,080 Speaker 1: certain tick bites. So one of big question. I want 924 00:57:01,080 --> 00:57:02,840 Speaker 1: to end this way. I don't know if you should 925 00:57:02,880 --> 00:57:05,840 Speaker 1: answer this, but end this way. Is it okay to 926 00:57:05,920 --> 00:57:09,879 Speaker 1: eat the pigs after the organ transplant? If you got 927 00:57:09,880 --> 00:57:12,600 Speaker 1: the pigs heart, would you eat the big I think 928 00:57:12,640 --> 00:57:15,719 Speaker 1: it's what what they would have wanted. We'll have to 929 00:57:15,840 --> 00:57:18,560 Speaker 1: modify them to be well. I don't I don't know. 930 00:57:18,760 --> 00:57:22,600 Speaker 1: I don't know what to modify them to communicate more efficiently. 931 00:57:22,640 --> 00:57:24,760 Speaker 1: It's really just a matter of fixing the vocal cords. 932 00:57:24,800 --> 00:57:27,200 Speaker 1: I think UM in some brain centers, because they do 933 00:57:27,320 --> 00:57:31,560 Speaker 1: have the intelligence of um, you know what a three 934 00:57:31,600 --> 00:57:33,960 Speaker 1: year old? I think maybe higher. Well, let us know, 935 00:57:34,280 --> 00:57:37,840 Speaker 1: let us know, uh how human is too human? And 936 00:57:37,920 --> 00:57:40,439 Speaker 1: what does human mean in the future. We can't wait 937 00:57:40,480 --> 00:57:42,800 Speaker 1: to hear from you. Uh, stay safe out there. We 938 00:57:42,840 --> 00:57:46,040 Speaker 1: want to hear your opinions on fart jars. We want 939 00:57:46,080 --> 00:57:50,680 Speaker 1: to hear your take on the mysterious illness in New Brunswick. 940 00:57:51,120 --> 00:57:54,800 Speaker 1: And I would really love to hear some some approaches 941 00:57:54,840 --> 00:57:58,080 Speaker 1: to these philosophical questions. You know your fellow listeners would 942 00:57:58,080 --> 00:58:01,480 Speaker 1: love to hear them as well, So don't delay contact us. 943 00:58:01,520 --> 00:58:03,760 Speaker 1: We try to be easy to find online. You can 944 00:58:03,800 --> 00:58:06,760 Speaker 1: find us on the Internet. It's a little song era 945 00:58:07,200 --> 00:58:12,680 Speaker 1: um at the handle of Conspiracy Stuff at YouTube, Facebook, 946 00:58:12,680 --> 00:58:15,000 Speaker 1: where we have the Facebook group. Here's where it gets crazy. 947 00:58:15,320 --> 00:58:18,840 Speaker 1: You can also find us on Twitter still Conspiracy Stuff. 948 00:58:18,960 --> 00:58:22,440 Speaker 1: Conspiracy Stuff Show is our handle on Instagram. And we 949 00:58:22,560 --> 00:58:25,040 Speaker 1: got some pretty exciting news today on the social media front, 950 00:58:25,120 --> 00:58:27,560 Speaker 1: so stay tuned for more on that soon. Hey, and 951 00:58:27,600 --> 00:58:29,760 Speaker 1: if you're like me and not a social media person, 952 00:58:29,840 --> 00:58:34,320 Speaker 1: instead go to the phone lines when you call. Please 953 00:58:34,360 --> 00:58:37,280 Speaker 1: don't fart. I mean, I guess you can. I would, 954 00:58:37,320 --> 00:58:39,120 Speaker 1: just you know you're not gonna get paid for it, 955 00:58:39,240 --> 00:58:42,200 Speaker 1: so jarred up? Instead? What are you saying people should 956 00:58:42,200 --> 00:58:44,320 Speaker 1: only do things if they get paid for it? Matt 957 00:58:44,800 --> 00:58:47,560 Speaker 1: Sometimes he's gotta fart for the joy to come on? 958 00:58:49,000 --> 00:58:54,520 Speaker 1: Uh uh, leave yourself a cool nickname. You've got three minutes. 959 00:58:54,560 --> 00:58:57,959 Speaker 1: Say whatever you'd like. We look forward to hearing from you. 960 00:58:58,320 --> 00:59:01,520 Speaker 1: If you have other things to say, you can't say 961 00:59:01,520 --> 00:59:04,280 Speaker 1: everything you want in that three minutes. Instead send us 962 00:59:04,320 --> 00:59:07,520 Speaker 1: a good old fashioned email. We are conspiracy at iHeart 963 00:59:07,600 --> 00:59:28,520 Speaker 1: radio dot com. Stuff they Don't Want You to Know 964 00:59:28,760 --> 00:59:31,760 Speaker 1: is a production of I heart Radio. For more podcasts 965 00:59:31,760 --> 00:59:34,000 Speaker 1: from my heart Radio, visit the i heart Radio app 966 00:59:34,080 --> 00:59:36,920 Speaker 1: Apple podcasts, or wherever you listen to your favorite shows.