1 00:00:00,240 --> 00:00:04,680 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,760 --> 00:00:09,080 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,039 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,200 --> 00:00:25,680 Speaker 1: production of iHeartRadio, Welcome back to the show. My name 5 00:00:25,760 --> 00:00:28,840 Speaker 1: is Matt, my name is Noel. They called me Ben. 6 00:00:29,040 --> 00:00:33,400 Speaker 1: We're joined as always with our superproducer Paul Mission controlled decond. 7 00:00:33,600 --> 00:00:37,080 Speaker 1: Most importantly, you are you. You are here, and that 8 00:00:37,120 --> 00:00:40,599 Speaker 1: makes this the stuff they don't want you to know. 9 00:00:41,159 --> 00:00:45,880 Speaker 1: Now in the interest of full transparency, your fellow conspiracy 10 00:00:45,920 --> 00:00:49,040 Speaker 1: realist on this show are returning to you from a 11 00:00:49,080 --> 00:00:51,400 Speaker 1: little bit of time on the road, and I think 12 00:00:51,440 --> 00:00:54,880 Speaker 1: it's safe to say we are all maybe a bit punchy. 13 00:00:54,960 --> 00:00:57,760 Speaker 1: What do you all have going on after this episode? 14 00:00:57,880 --> 00:01:02,160 Speaker 1: Is it nap time? Is it chores cleaning? Catch up? Now, 15 00:01:02,200 --> 00:01:09,120 Speaker 1: it's podcasting time. Baby never sleeps. Let's go, let's go, well, hey, 16 00:01:09,160 --> 00:01:11,800 Speaker 1: we can do shoutouts, we can do shout outs. Let's 17 00:01:11,840 --> 00:01:14,080 Speaker 1: do some shout outs, man, I love that idea. Let's 18 00:01:14,080 --> 00:01:17,160 Speaker 1: do some shout outs. Let's definitely say hey to people 19 00:01:17,200 --> 00:01:20,160 Speaker 1: like Nick Thun and Brian Baumgardner that we got to 20 00:01:20,160 --> 00:01:25,440 Speaker 1: hang out with for a little bit Hopefullysenberg was a delight. 21 00:01:25,600 --> 00:01:27,600 Speaker 1: I got to I got to tell her how much 22 00:01:27,640 --> 00:01:30,120 Speaker 1: I missed asking me another and and tell her how 23 00:01:30,200 --> 00:01:32,039 Speaker 1: much I love the anagram for her name, which is 24 00:01:32,040 --> 00:01:35,800 Speaker 1: her ripe Bagunis, which anagrams are so fun. I'm not 25 00:01:35,840 --> 00:01:37,680 Speaker 1: smart enough to make them, but I remember that one. 26 00:01:37,760 --> 00:01:40,559 Speaker 1: Yeah you are, Oh that's really kind of ben. So 27 00:01:40,800 --> 00:01:44,600 Speaker 1: we went on some travels. We have more travels in line, 28 00:01:44,720 --> 00:01:49,760 Speaker 1: and I think for some of us not naming names, uh, 29 00:01:50,920 --> 00:01:54,680 Speaker 1: for some of us, uh, you're we experienced this point 30 00:01:54,680 --> 00:01:58,080 Speaker 1: that you might have experienced yourself. Folks, At some point 31 00:01:58,120 --> 00:02:00,720 Speaker 1: it hits everyone. You get a you'rd ache in a 32 00:02:00,800 --> 00:02:03,480 Speaker 1: body part, right, you wake up in the morning, you 33 00:02:03,560 --> 00:02:06,840 Speaker 1: slept too long in the wrong position, and you're thinking, wow, 34 00:02:06,840 --> 00:02:10,200 Speaker 1: did this elbow quit? You might have been drinking alcohol, 35 00:02:10,280 --> 00:02:12,799 Speaker 1: you have a hangover that lasts longer than it did 36 00:02:12,880 --> 00:02:17,120 Speaker 1: in your college days. Or maybe maybe you don't drink, 37 00:02:17,160 --> 00:02:19,600 Speaker 1: maybe you don't sleep, maybe you're just not as fast 38 00:02:19,680 --> 00:02:23,320 Speaker 1: on the court anymore, or you have trouble pulling all nighters, 39 00:02:23,560 --> 00:02:27,400 Speaker 1: and it leads to this frightening realization. The moment hits you, 40 00:02:28,560 --> 00:02:32,080 Speaker 1: am I getting old and one day to paraphrase the 41 00:02:32,160 --> 00:02:37,360 Speaker 1: Flaming Lips. You realize that everyone you know, including you, 42 00:02:37,960 --> 00:02:42,359 Speaker 1: will die. This is our episode that's a follow up 43 00:02:42,400 --> 00:02:47,680 Speaker 1: to modern vampires who follow up to immortality. The question 44 00:02:48,200 --> 00:02:56,359 Speaker 1: is should humans reverse aging? Here are the facts? Wait wait, wait, man, Ben, 45 00:02:56,360 --> 00:03:01,480 Speaker 1: are you saying I will I'm going to die? Yeah? Yeah, Sorry, 46 00:03:01,480 --> 00:03:04,280 Speaker 1: I wanted to tell you on air. This is a 47 00:03:04,280 --> 00:03:11,359 Speaker 1: big bummerential crisis in real time right now. One last thing, 48 00:03:11,400 --> 00:03:14,560 Speaker 1: we have personal experience of that feeling that Ben just described, 49 00:03:14,639 --> 00:03:17,399 Speaker 1: or you're like, oh man, something is not right anymore. 50 00:03:17,800 --> 00:03:19,920 Speaker 1: As part of this work thing, we hung out with 51 00:03:19,960 --> 00:03:24,680 Speaker 1: the Johnny Drinks folks, John Johnny and Steve and we 52 00:03:24,760 --> 00:03:27,480 Speaker 1: had to for work. We didn't have to, but as 53 00:03:27,520 --> 00:03:31,200 Speaker 1: a part of our work we drank Manhattan's and just 54 00:03:31,360 --> 00:03:33,800 Speaker 1: getting a little bit of alcohol in the system. Nowadays, 55 00:03:33,880 --> 00:03:35,760 Speaker 1: as we're getting older, I don't know about you guys, 56 00:03:36,360 --> 00:03:39,920 Speaker 1: not so great for me anymore in the morning. Definitely 57 00:03:40,040 --> 00:03:42,119 Speaker 1: causes you to flag a little bit the next day. 58 00:03:42,200 --> 00:03:45,800 Speaker 1: But I think we all kept our composure and exercise 59 00:03:45,880 --> 00:03:51,360 Speaker 1: some restraint. But exercise restraints as you may. The inevitability 60 00:03:51,480 --> 00:03:57,920 Speaker 1: of death is sure the study, is it, yeah? Yeah? 61 00:03:58,120 --> 00:04:02,120 Speaker 1: Or should we fight fight the tide like a salmon 62 00:04:02,240 --> 00:04:06,800 Speaker 1: swimming upstream. The study of death is called thanatology. There's 63 00:04:06,840 --> 00:04:10,120 Speaker 1: a book that we're gonna We're gonna save you some 64 00:04:10,200 --> 00:04:13,080 Speaker 1: time with. It's called The Denial of Death. Mentioned it 65 00:04:13,120 --> 00:04:15,680 Speaker 1: in past episodes. You do not have to read it. 66 00:04:15,720 --> 00:04:21,760 Speaker 1: And thesis is that every single piece of all human technology, 67 00:04:22,000 --> 00:04:25,680 Speaker 1: and all religion, and all of what we call society, 68 00:04:26,520 --> 00:04:29,400 Speaker 1: all all the things that the humans are doing is 69 00:04:29,400 --> 00:04:32,000 Speaker 1: to distract themselves from the fact that one day they 70 00:04:32,000 --> 00:04:34,960 Speaker 1: will no longer be around. Didn't want to start off 71 00:04:35,040 --> 00:04:39,080 Speaker 1: that nihilistic, So a little bit of solve here really quickly. 72 00:04:39,080 --> 00:04:43,520 Speaker 1: The thanatology like Thanos and he like the death God 73 00:04:43,680 --> 00:04:47,320 Speaker 1: kind of in the Marvel Universe in the comics. His 74 00:04:47,560 --> 00:04:51,560 Speaker 1: number one crush is the Marvel Universe embodiment of Death. 75 00:04:51,800 --> 00:04:53,719 Speaker 1: That's what I thought. I remember they didn't really play 76 00:04:53,760 --> 00:04:56,640 Speaker 1: with that in the movie. They do, remember, Yeah, but 77 00:04:56,800 --> 00:05:00,360 Speaker 1: like it was like really like a personification of like death. 78 00:05:00,560 --> 00:05:05,760 Speaker 1: You know. That's interesting. Well, let's add one important positive 79 00:05:05,839 --> 00:05:10,719 Speaker 1: philosophical note before we before we dive into the dark 80 00:05:10,960 --> 00:05:16,480 Speaker 1: waters of lethe or whatever. These days, most human beings 81 00:05:16,880 --> 00:05:19,840 Speaker 1: do not simply cease to exist at the point of 82 00:05:19,839 --> 00:05:23,880 Speaker 1: biological death. Back in the day, for most of your 83 00:05:23,960 --> 00:05:28,719 Speaker 1: human society, the vast majority of people died unremembered. But now, 84 00:05:29,080 --> 00:05:32,080 Speaker 1: as long as there is some idea or record of 85 00:05:32,120 --> 00:05:36,080 Speaker 1: you that exist, so long as you are remembered, you 86 00:05:36,160 --> 00:05:41,320 Speaker 1: will continue to affect the world. So, fellow conspiracy realist, 87 00:05:41,440 --> 00:05:44,960 Speaker 1: let's all do our collective best to leave a good impression. 88 00:05:45,400 --> 00:05:48,800 Speaker 1: You know what I mean? In some way, what we're 89 00:05:48,800 --> 00:05:52,120 Speaker 1: saying is humans do continue after their expiration date. But 90 00:05:52,520 --> 00:05:57,440 Speaker 1: biologically speaking, it's Valor Morgalus. You know what I mean? 91 00:05:57,520 --> 00:06:00,679 Speaker 1: Twenty four to seven, all humans will at some point 92 00:06:01,080 --> 00:06:05,640 Speaker 1: encounter a collapse in mission critical biological systems and die. 93 00:06:05,880 --> 00:06:10,920 Speaker 1: Did I get that right? Valor Mogulas? Is that correct? Morlas? Yea, 94 00:06:11,880 --> 00:06:13,760 Speaker 1: I think it's Goulas, but it's been a Mena since 95 00:06:13,760 --> 00:06:18,680 Speaker 1: I've watched that show. Yeah, So okay, So let's talk 96 00:06:18,720 --> 00:06:22,360 Speaker 1: about the average human being. You are listening, and you 97 00:06:22,400 --> 00:06:28,800 Speaker 1: are human. That's our first assumption. Uh, what's your average lifespan? 98 00:06:29,160 --> 00:06:34,440 Speaker 1: One hundred years? No, no, no, nope, right now it's 99 00:06:34,560 --> 00:06:38,040 Speaker 1: just under seventy four years, really close to the average 100 00:06:38,080 --> 00:06:42,320 Speaker 1: age of a sperm whale. Interestingly, enough, guys, not bad. 101 00:06:42,360 --> 00:06:44,360 Speaker 1: It's pretty good. Un till you get to seventy six 102 00:06:46,040 --> 00:06:49,479 Speaker 1: and you're thinking, is this all bonus credit? Uh for? 103 00:06:49,480 --> 00:06:53,039 Speaker 1: For comparison? What do we know about other animals? It's 104 00:06:53,040 --> 00:06:55,400 Speaker 1: like when they raise the level cap in video games 105 00:06:55,480 --> 00:06:57,880 Speaker 1: you now as part of like an update or a DLC. 106 00:06:58,160 --> 00:07:00,440 Speaker 1: You're just kind of like, yeah, you're on as you're 107 00:07:00,440 --> 00:07:03,800 Speaker 1: playing the extra content. Well, we're doing awesome compared to 108 00:07:04,120 --> 00:07:07,360 Speaker 1: like an octopus that's like four years five years back 109 00:07:07,440 --> 00:07:11,640 Speaker 1: pretty much, yeah, unless you unless you give them the lobotomy. 110 00:07:12,440 --> 00:07:17,440 Speaker 1: Why was that research stopped anyway? Different different question. So 111 00:07:17,840 --> 00:07:20,880 Speaker 1: other other mammals can live quite a long time. Other 112 00:07:21,000 --> 00:07:23,320 Speaker 1: life forms can live quite a long time, and they'd 113 00:07:23,360 --> 00:07:26,960 Speaker 1: be life forms that are called higher order. But shout 114 00:07:27,000 --> 00:07:30,240 Speaker 1: out to a frames excellent point from a week or 115 00:07:30,240 --> 00:07:35,560 Speaker 1: so back about the nature of intelligence and fungus. For comparison, 116 00:07:36,240 --> 00:07:40,240 Speaker 1: the average corvid lives fifteen to twenty two years if 117 00:07:40,240 --> 00:07:44,360 Speaker 1: things go well spoiler they don't. The world is brutal 118 00:07:45,240 --> 00:07:50,240 Speaker 1: and Matt, you were talking earlier as sperm whales, right, well, yeah, 119 00:07:50,360 --> 00:07:52,920 Speaker 1: I looked it up just for this episode. One of 120 00:07:53,000 --> 00:07:58,520 Speaker 1: the bigger, more intelligent creatures on the planet that swims 121 00:07:58,520 --> 00:08:00,440 Speaker 1: around in this case is a sperm whale, and they 122 00:08:00,480 --> 00:08:03,440 Speaker 1: have a life expectancy of about seventy years, and that 123 00:08:03,680 --> 00:08:06,720 Speaker 1: that was really puzzling to me, just because of our 124 00:08:07,240 --> 00:08:11,320 Speaker 1: stature the humans, you know, humans average height and weight 125 00:08:11,360 --> 00:08:14,640 Speaker 1: and everything, and then thinking that we live, you know, 126 00:08:14,720 --> 00:08:17,400 Speaker 1: seventy four to one hundred years, that kind of thing, 127 00:08:17,960 --> 00:08:21,960 Speaker 1: and then this huge creature also lives about that long. 128 00:08:22,360 --> 00:08:25,480 Speaker 1: For some reason, in my mind, I thought an octopus 129 00:08:25,520 --> 00:08:28,840 Speaker 1: would live a lot longer than a sperm whale, just 130 00:08:28,920 --> 00:08:32,280 Speaker 1: because of the massive size and how many cells are 131 00:08:32,320 --> 00:08:34,679 Speaker 1: in there and all that stuff. But it has nothing 132 00:08:34,720 --> 00:08:38,200 Speaker 1: to do with anything that I was thinking about. Well again, 133 00:08:39,559 --> 00:08:44,120 Speaker 1: somebody start doing more unethical research on the octopus. Please, 134 00:08:44,400 --> 00:08:47,240 Speaker 1: I'm very interested to see their opinions. If they make 135 00:08:47,280 --> 00:08:50,360 Speaker 1: it to even ten years, you know, it'll be cool. 136 00:08:50,640 --> 00:08:54,239 Speaker 1: You could probably only do it with biologically female octopus. 137 00:08:54,400 --> 00:08:57,360 Speaker 1: I know the research is being conducted. I gotta let 138 00:08:57,360 --> 00:09:00,000 Speaker 1: this go. Okay, humans, that's what we're talking about. Humans. 139 00:09:00,160 --> 00:09:03,959 Speaker 1: So the life expectancy, like I said, something like seventy 140 00:09:04,000 --> 00:09:10,440 Speaker 1: three point one six years. That statistic varies so widely 141 00:09:10,480 --> 00:09:17,319 Speaker 1: across the world, across demographics, across biological sex at birth. Like, 142 00:09:18,120 --> 00:09:21,520 Speaker 1: you know, it's a fact that the female of the 143 00:09:21,600 --> 00:09:25,560 Speaker 1: human species tends to live longer than the male. And 144 00:09:25,640 --> 00:09:30,520 Speaker 1: there are literally thousands of factors at play here, many 145 00:09:30,600 --> 00:09:35,560 Speaker 1: of which are human created factors. People are dying earlier 146 00:09:36,360 --> 00:09:39,720 Speaker 1: because of other humans, not because of their bodies. The 147 00:09:39,800 --> 00:09:43,040 Speaker 1: one thing about this it's so interesting is there's one 148 00:09:43,080 --> 00:09:47,800 Speaker 1: big commonality. It remains constant and it's frankly sinister since 149 00:09:47,880 --> 00:09:51,120 Speaker 1: the early days that people started getting up to the 150 00:09:51,160 --> 00:09:54,880 Speaker 1: business of people and the folks at the Yeah, the 151 00:09:54,960 --> 00:09:59,400 Speaker 1: folks at the top of whatever, of literally any culture, 152 00:09:59,440 --> 00:10:03,120 Speaker 1: the folks at the top would at some point get 153 00:10:03,320 --> 00:10:07,840 Speaker 1: desperate to stay alive for as long as possible, and 154 00:10:08,000 --> 00:10:10,760 Speaker 1: they had all gas, no breaks. They were super crappy 155 00:10:10,760 --> 00:10:13,640 Speaker 1: about it to anyone that they thought was getting in 156 00:10:13,679 --> 00:10:16,319 Speaker 1: their way. I guess so, I mean, but then we've 157 00:10:16,360 --> 00:10:19,560 Speaker 1: also seen you know, cautionary tales or like things like 158 00:10:19,640 --> 00:10:23,160 Speaker 1: Interview with the Vampire for example, where eventually you just 159 00:10:23,200 --> 00:10:25,320 Speaker 1: get to a point where you've had it all and 160 00:10:25,400 --> 00:10:27,720 Speaker 1: you just can't really, you know, just it's just not 161 00:10:27,840 --> 00:10:31,199 Speaker 1: fun anymore. You know, there's a certain malaise that sets 162 00:10:31,240 --> 00:10:33,319 Speaker 1: in and probably causes people to go a little bit 163 00:10:33,320 --> 00:10:38,239 Speaker 1: insane or vampire's brother. Today's episode is what if everybody 164 00:10:38,280 --> 00:10:43,680 Speaker 1: had that feeling right exactly? And it's not a it's 165 00:10:43,679 --> 00:10:45,960 Speaker 1: a scary proposition and we see it in history in 166 00:10:45,960 --> 00:10:49,920 Speaker 1: the Sumerian Epic of Gilgamesh, for example, where old Gilgamesh. 167 00:10:50,040 --> 00:10:52,840 Speaker 1: I always think of Gargamel, you know, from the Smurfs 168 00:10:52,880 --> 00:10:55,760 Speaker 1: whenever I hear Gilgamesh, but he spends a lot of 169 00:10:55,760 --> 00:10:59,559 Speaker 1: time trying to attain more immortality, much like we see 170 00:10:59,600 --> 00:11:01,839 Speaker 1: this story repeating. You know, there's a fountain of youth 171 00:11:01,880 --> 00:11:05,040 Speaker 1: and all of that stuff, and folks seeking some sort 172 00:11:05,040 --> 00:11:07,640 Speaker 1: of boon, you know, from a god or demigod or 173 00:11:07,640 --> 00:11:10,080 Speaker 1: whatever that would allow them to live forever because it's, 174 00:11:10,280 --> 00:11:12,760 Speaker 1: you know, a human thing. Once you realize that clock 175 00:11:12,920 --> 00:11:16,960 Speaker 1: is ticking, it's kind of natural to want to figure 176 00:11:17,000 --> 00:11:21,160 Speaker 1: out a way to stop it. M Yeah, and the 177 00:11:21,240 --> 00:11:24,800 Speaker 1: Epic of Gilgamesh is is pretty dope. Maybe we can, 178 00:11:25,360 --> 00:11:29,760 Speaker 1: maybe we could actually end today's episode with a clip 179 00:11:29,840 --> 00:11:33,600 Speaker 1: from our boy Guilgee or Gil. I guess you just 180 00:11:33,640 --> 00:11:36,640 Speaker 1: call them gill if your friends. But the story is 181 00:11:36,679 --> 00:11:41,760 Speaker 1: pretty good and it's an instructive lesson that in Samarian 182 00:11:41,840 --> 00:11:46,559 Speaker 1: culture at least, I pause. It was meant to help 183 00:11:46,679 --> 00:11:50,520 Speaker 1: people feel okay with time, as morbid as that sounds. 184 00:11:51,000 --> 00:11:53,080 Speaker 1: But then there are other folks like the ancient Chinese 185 00:11:53,160 --> 00:11:58,079 Speaker 1: emperor sin she Halden, who you know, we're not native speakers, 186 00:11:58,120 --> 00:12:02,360 Speaker 1: forgive us there it looks like and she hung Y're right? 187 00:12:03,080 --> 00:12:10,200 Speaker 1: So Hinchi Huang literally drank mercury. It was buried with 188 00:12:10,280 --> 00:12:13,240 Speaker 1: a bunch of it, with the idea that it would 189 00:12:13,240 --> 00:12:17,000 Speaker 1: make him immortal. And not only did it not make 190 00:12:17,080 --> 00:12:21,480 Speaker 1: him immortal, not only did he die, but it probably 191 00:12:21,679 --> 00:12:26,800 Speaker 1: ruined the natural world for people who lived around the 192 00:12:26,920 --> 00:12:30,200 Speaker 1: area for a while. I mean, we hear about, you know, 193 00:12:30,240 --> 00:12:32,800 Speaker 1: being mad as a hatter or whatever from the mercury 194 00:12:32,800 --> 00:12:34,559 Speaker 1: they used to treat the felt. I mean that stuff 195 00:12:34,640 --> 00:12:37,920 Speaker 1: literally does make you kind of go insane. Do you 196 00:12:37,920 --> 00:12:40,040 Speaker 1: think it was as simple as like, oh, what's the 197 00:12:40,120 --> 00:12:43,880 Speaker 1: shiny stuff? This must be magical juice from the gods. 198 00:12:44,280 --> 00:12:49,440 Speaker 1: Humans love it when someone authoritatively tells them something right, 199 00:12:49,960 --> 00:12:52,480 Speaker 1: like mercury this is neat Huh. You know what else 200 00:12:52,480 --> 00:12:55,360 Speaker 1: you can do? Maybe make you live forever. I'm just 201 00:12:55,440 --> 00:13:01,880 Speaker 1: asking questions. But also the story of that emperor less 202 00:13:02,559 --> 00:13:05,000 Speaker 1: less we be unfair to him. The story about that 203 00:13:05,080 --> 00:13:08,080 Speaker 1: emperor has a lot more to it. These are we're 204 00:13:08,120 --> 00:13:10,520 Speaker 1: just giving you a couple things that might sound like 205 00:13:10,600 --> 00:13:15,240 Speaker 1: weird historical footnotes, But humanity has been obsessed with this, 206 00:13:15,400 --> 00:13:20,000 Speaker 1: and rightly so, and they have an increasingly sophisticated understanding 207 00:13:20,200 --> 00:13:22,760 Speaker 1: of age in the modern day. Like in the modern 208 00:13:22,840 --> 00:13:27,360 Speaker 1: day right now, most people don't believe in biological immortality. 209 00:13:27,720 --> 00:13:33,120 Speaker 1: The big debate is can we replicate someone's brain to 210 00:13:33,240 --> 00:13:36,199 Speaker 1: a level of fidelity such that we could upload a 211 00:13:36,320 --> 00:13:41,000 Speaker 1: version of them that exists beyond the body, right That's 212 00:13:41,000 --> 00:13:43,319 Speaker 1: what most people think of when they think of plausible 213 00:13:43,360 --> 00:13:47,560 Speaker 1: immortality now. But despite the fact that most people don't 214 00:13:47,559 --> 00:13:54,079 Speaker 1: believe in bioimmortality, humans are still desperately doing whatever they 215 00:13:54,080 --> 00:13:57,000 Speaker 1: can to look younger than they are. I was looking 216 00:13:57,040 --> 00:14:00,960 Speaker 1: up plastic surgery statistics. You guys saw that a lot 217 00:14:01,000 --> 00:14:04,640 Speaker 1: of people are get plastic surgery. It's like it's a 218 00:14:04,679 --> 00:14:09,000 Speaker 1: big deal. Yeah, it's a massive industry. Well, and there 219 00:14:09,000 --> 00:14:11,200 Speaker 1: are a lot of different procedures. I mean, they're they're 220 00:14:11,200 --> 00:14:14,000 Speaker 1: always having a lot of different plastic surgery procedures. Some 221 00:14:14,120 --> 00:14:17,960 Speaker 1: are way more invasive than others. Some would still be 222 00:14:18,000 --> 00:14:22,320 Speaker 1: considered plastic surgery, but are more of like a thing 223 00:14:22,400 --> 00:14:25,840 Speaker 1: you'd go and do at the dermatologist on a Tuesday, 224 00:14:26,240 --> 00:14:29,120 Speaker 1: like some of the fillers and other things they get 225 00:14:29,160 --> 00:14:32,560 Speaker 1: injected to people that I would still consider that, you know, 226 00:14:32,640 --> 00:14:35,320 Speaker 1: way plastic surgery. I don't think it is the same thing, 227 00:14:35,320 --> 00:14:38,440 Speaker 1: though it's adjacent. I mean any kind of implant or 228 00:14:38,560 --> 00:14:40,400 Speaker 1: things that go I mean, yeah, yeah, A lot of 229 00:14:40,400 --> 00:14:44,120 Speaker 1: plastic surgery too is implant based. So whether you're getting 230 00:14:44,120 --> 00:14:47,520 Speaker 1: something injected or inserted, I think it's definitely, you know, 231 00:14:48,040 --> 00:14:51,360 Speaker 1: in the same vein. In January of twenty twenty three, 232 00:14:51,440 --> 00:14:56,160 Speaker 1: the International Society of Esthetic Plastic Surgeons or SAPPS is 233 00:14:56,400 --> 00:14:59,920 Speaker 1: APS release the results of an annual global their annual 234 00:15:00,040 --> 00:15:03,280 Speaker 1: Global Survey on esthetic cosmetic procedures today, and it showed 235 00:15:03,280 --> 00:15:06,800 Speaker 1: an overall nineteen point three percent increase and these kinds 236 00:15:06,840 --> 00:15:10,360 Speaker 1: of procedures in twenty twenty one with more than you're 237 00:15:10,400 --> 00:15:13,680 Speaker 1: close to thirteen million surgical and then seventeen point five 238 00:15:13,720 --> 00:15:17,000 Speaker 1: million non surgical, like you were talking about MATT procedures 239 00:15:17,040 --> 00:15:21,720 Speaker 1: performed worldwide. That's nuts. Well, it makes sense when you 240 00:15:21,760 --> 00:15:24,320 Speaker 1: think about what Ben You're saying earlier that there is 241 00:15:24,440 --> 00:15:26,880 Speaker 1: kind of a weird way to live forever now, and 242 00:15:26,920 --> 00:15:32,040 Speaker 1: that's just to exist digitally, not as an actual avatar 243 00:15:32,400 --> 00:15:35,440 Speaker 1: of yourself right and a version of yourself that's in 244 00:15:35,480 --> 00:15:39,040 Speaker 1: the machine, but just the representations of us that are 245 00:15:39,040 --> 00:15:43,200 Speaker 1: going to be around forever until they turn the servers off. 246 00:15:43,560 --> 00:15:45,600 Speaker 1: So I think that what we're seeing here is just 247 00:15:45,920 --> 00:15:49,400 Speaker 1: an attempt to appear as young as you possibly can 248 00:15:49,480 --> 00:15:52,520 Speaker 1: for as long as you can within that space, within 249 00:15:52,600 --> 00:15:56,520 Speaker 1: that medium. Look upon my Instagram you mighty oh no 250 00:15:56,920 --> 00:16:03,800 Speaker 1: and despair yeah, and as servers closed. Yeah, I mean, 251 00:16:03,920 --> 00:16:07,880 Speaker 1: it's a it's a wild, inherently conspiratorial thing, especially to 252 00:16:07,880 --> 00:16:11,040 Speaker 1: the point about appearance. Yeah, it's like, I mean, Alexa 253 00:16:11,120 --> 00:16:17,280 Speaker 1: play forever young. Shout out to anybody who's it's happening. 254 00:16:18,440 --> 00:16:21,160 Speaker 1: But while people are tucking their tummies and lifting their 255 00:16:21,200 --> 00:16:26,280 Speaker 1: faces and rubbing strange expensive creams across their wrinkles, scientists 256 00:16:26,360 --> 00:16:30,720 Speaker 1: around the world, funded by tycoons, funded by people you 257 00:16:30,800 --> 00:16:36,160 Speaker 1: might not like, are locked in labs conducting strange experiments. 258 00:16:36,640 --> 00:16:39,400 Speaker 1: We may not be able to stop the clock, they 259 00:16:39,440 --> 00:16:43,960 Speaker 1: seem to conclude, but what if we can turn it back. 260 00:16:44,640 --> 00:16:55,120 Speaker 1: We're gonna pause for word from our sponsors. Here's where 261 00:16:55,120 --> 00:16:58,320 Speaker 1: it gets crazy. Wait before we do that, I do 262 00:16:58,400 --> 00:17:02,240 Speaker 1: think we should say, um, there's nothing wrong with getting 263 00:17:02,280 --> 00:17:06,000 Speaker 1: plastic surgery. We're not body shaming anyone. You know, your 264 00:17:06,000 --> 00:17:07,959 Speaker 1: life is your own. But also I mean, like you know, 265 00:17:08,600 --> 00:17:11,160 Speaker 1: whether you're even people who aren't like vain at all 266 00:17:11,200 --> 00:17:14,640 Speaker 1: are like conceded there there's a real psychological effect on 267 00:17:14,880 --> 00:17:17,120 Speaker 1: changing the way you look and feeling good about yourself, 268 00:17:17,160 --> 00:17:19,719 Speaker 1: even if it's not because you know, want to just 269 00:17:19,880 --> 00:17:21,919 Speaker 1: feel like I'm so hot, you know. But it's it's 270 00:17:22,000 --> 00:17:24,960 Speaker 1: simple things. It's the same reason people go to gems 271 00:17:25,119 --> 00:17:26,720 Speaker 1: and all of that stuff, and there are some things 272 00:17:26,880 --> 00:17:29,159 Speaker 1: they go into the gym just won't fix. And we 273 00:17:29,240 --> 00:17:31,119 Speaker 1: are in a sis. We live in a society, as 274 00:17:31,160 --> 00:17:34,080 Speaker 1: it turns out, that does judge these kinds of things 275 00:17:34,200 --> 00:17:37,760 Speaker 1: and can make people feel very uncomfortable or lesson. So 276 00:17:37,800 --> 00:17:40,960 Speaker 1: I think there's an absolute benefit to maybe what I 277 00:17:41,000 --> 00:17:45,359 Speaker 1: would consider you know, moderate procedures like this. It's sure, 278 00:17:45,520 --> 00:17:47,840 Speaker 1: we do know that people can get like addicted to it, though, 279 00:17:47,840 --> 00:17:50,400 Speaker 1: and it becomes a real problem that's in of itself 280 00:17:50,920 --> 00:17:54,200 Speaker 1: a phenomenon that's very modern and very unusual. Like I 281 00:17:54,640 --> 00:18:00,479 Speaker 1: donate to charities that help kids would cleft palates, you know, 282 00:18:00,520 --> 00:18:03,560 Speaker 1: and that would that be plastic surgery. Anyway, The point 283 00:18:03,680 --> 00:18:08,040 Speaker 1: is not plastic surgery necessarily. The point is that people 284 00:18:08,480 --> 00:18:13,879 Speaker 1: want to slow or reverse aging, and for millennia this 285 00:18:14,040 --> 00:18:18,199 Speaker 1: has been the dream. But this part, the twist of 286 00:18:18,240 --> 00:18:22,440 Speaker 1: this episode, or the first twist, is that yes, according 287 00:18:22,480 --> 00:18:27,760 Speaker 1: to recent, ongoing, groundbreaking research, it is in fact possible 288 00:18:28,080 --> 00:18:34,880 Speaker 1: to reverse the effects of biological age. Somewhat caveat asteris 289 00:18:35,040 --> 00:18:41,720 Speaker 1: fine print. First, we have to understand what aging actually is. 290 00:18:41,720 --> 00:18:44,439 Speaker 1: Is it just sleeping wrong? Is it just that you 291 00:18:44,480 --> 00:18:47,359 Speaker 1: get to the point in your life where you feel like, 292 00:18:47,520 --> 00:18:50,520 Speaker 1: subconsciously you have to make sound effects when you get up, 293 00:18:50,880 --> 00:18:54,119 Speaker 1: you know, Oh, it's not an act. My friend, I 294 00:18:54,200 --> 00:18:57,520 Speaker 1: just saw a meme featuring our pal George Costanza from 295 00:18:57,520 --> 00:19:00,320 Speaker 1: Seinfeld where he's sort of pensively leaning again. It's like 296 00:19:00,359 --> 00:19:03,280 Speaker 1: a bridge, you know, an overpasser by a lake, and 297 00:19:03,400 --> 00:19:07,080 Speaker 1: it says, remembering the time before I had to grunt 298 00:19:07,119 --> 00:19:11,080 Speaker 1: anytime I sat down or stood up, and there is 299 00:19:11,119 --> 00:19:13,679 Speaker 1: some truth to that. It's weird. I'm feeling it, you know. 300 00:19:14,000 --> 00:19:15,840 Speaker 1: I mean, I'm a little heavier than to you guys, 301 00:19:15,920 --> 00:19:18,359 Speaker 1: but it's something that you see in everybody that gets 302 00:19:18,400 --> 00:19:21,240 Speaker 1: to our age. Lucky enough, but there are things you 303 00:19:21,280 --> 00:19:24,920 Speaker 1: gotta make adjustments, you know, or get adjustments. So what 304 00:19:25,160 --> 00:19:29,320 Speaker 1: is aging? How should we think about it? Ah? It 305 00:19:29,440 --> 00:19:34,600 Speaker 1: is your cells getting older, running the same processes over 306 00:19:34,720 --> 00:19:36,879 Speaker 1: and over and over and over, and then those cells 307 00:19:36,960 --> 00:19:40,600 Speaker 1: dying and being replaced by new cells and it continues happening. 308 00:19:41,200 --> 00:19:44,760 Speaker 1: So really, well, it's so much more complicated than that. 309 00:19:44,760 --> 00:19:47,920 Speaker 1: That's the way I think about it. Your body as 310 00:19:47,920 --> 00:19:52,720 Speaker 1: a system has been functioning for a long time, and 311 00:19:52,840 --> 00:19:56,320 Speaker 1: as it continues to function, your body then becomes more vulnerable. 312 00:19:56,400 --> 00:19:59,760 Speaker 1: All those cells, all those systems become more vulnerable to 313 00:20:00,320 --> 00:20:03,760 Speaker 1: breaking down a little bit, something going wrong, either from 314 00:20:03,760 --> 00:20:06,679 Speaker 1: a genetic standpoint, you know, within a couple of cells, 315 00:20:07,119 --> 00:20:11,040 Speaker 1: a cluster of cells, as they encounter some environmental factor, 316 00:20:11,240 --> 00:20:14,280 Speaker 1: a lot of times you can have some real problems. 317 00:20:14,520 --> 00:20:19,480 Speaker 1: So you're looking at things like dementia, stroke, cancer, so 318 00:20:19,720 --> 00:20:23,000 Speaker 1: freaking common, especially now that we know that we've been 319 00:20:23,000 --> 00:20:26,320 Speaker 1: wiping our butts with forever chemicals. All A true story. 320 00:20:26,680 --> 00:20:32,320 Speaker 1: Yeah yeah, unless you only use a day uh yeah yeah, 321 00:20:32,440 --> 00:20:35,840 Speaker 1: true story. And that's that's something you should clock, folks. 322 00:20:35,960 --> 00:20:38,000 Speaker 1: I can't remember when this is going to come out. 323 00:20:38,040 --> 00:20:40,879 Speaker 1: But Matt, you would you would hipped us to that 324 00:20:41,000 --> 00:20:43,520 Speaker 1: on a group chat and I had never heard of that, 325 00:20:43,600 --> 00:20:49,280 Speaker 1: But nice teaser. Uh. The the process of aging is 326 00:20:49,480 --> 00:20:54,520 Speaker 1: a series of processes. Honestly, aging is an umbrella's term, 327 00:20:54,640 --> 00:20:58,600 Speaker 1: and there are certain things that can accelerate unevenly. I 328 00:20:58,640 --> 00:21:04,520 Speaker 1: would add maculate or degeneration to the list of age 329 00:21:04,560 --> 00:21:09,520 Speaker 1: related ailments that people encounter. And so for a while, 330 00:21:10,040 --> 00:21:14,359 Speaker 1: doctors and scientists in what we can call the longevity field, 331 00:21:14,440 --> 00:21:18,520 Speaker 1: we're trying to figure out which of these processes is 332 00:21:18,640 --> 00:21:25,080 Speaker 1: the either the easiest to fix or the biggest bad 333 00:21:25,119 --> 00:21:28,760 Speaker 1: guy in the room. And then from there they said, well, 334 00:21:28,800 --> 00:21:33,240 Speaker 1: how do we target these processes? Is there a substance 335 00:21:33,840 --> 00:21:38,520 Speaker 1: that we can use to hit at these things to 336 00:21:38,640 --> 00:21:43,800 Speaker 1: halt them or reverse that trend of aging cells the 337 00:21:43,840 --> 00:21:48,920 Speaker 1: way that you can use other drugs to target specific diseases. 338 00:21:49,520 --> 00:21:53,159 Speaker 1: This is where we have to introduce folks like near Barzilia, 339 00:21:53,680 --> 00:21:58,840 Speaker 1: who is I think he's used to hearing this looks 340 00:21:58,880 --> 00:22:02,000 Speaker 1: great for his age. Also, I hate when people say 341 00:22:02,000 --> 00:22:05,640 Speaker 1: you look great for your age. That's such a strange 342 00:22:06,119 --> 00:22:09,119 Speaker 1: thing to say to someone. But but he had a 343 00:22:09,200 --> 00:22:13,679 Speaker 1: quote that really stands out about it, like treating age 344 00:22:13,880 --> 00:22:19,359 Speaker 1: like like a more understandable condition, the way that someone 345 00:22:19,359 --> 00:22:22,840 Speaker 1: would treat diabetes, for instance. Yeah. And to that end, 346 00:22:22,920 --> 00:22:26,920 Speaker 1: folks like doctor near bar ZELI, I believe him saying 347 00:22:26,920 --> 00:22:31,320 Speaker 1: that correctly phonetically at the very least, um, he argues, quote, 348 00:22:31,760 --> 00:22:34,320 Speaker 1: we can target aging, we can delay it, and in 349 00:22:34,359 --> 00:22:37,480 Speaker 1: several instances we can stop and reverse it. At one 350 00:22:37,560 --> 00:22:41,400 Speaker 1: point we had hope, then we moved to promise. Now 351 00:22:41,440 --> 00:22:45,439 Speaker 1: we need to move to realize that promise. Um. And 352 00:22:45,520 --> 00:22:48,000 Speaker 1: that's where we are. And this sounds a bit like 353 00:22:48,040 --> 00:22:50,160 Speaker 1: a sales pitch to me, doesn't It is this person 354 00:22:50,200 --> 00:22:55,520 Speaker 1: bit Yeah, okay, just make it sure right. But he 355 00:22:55,680 --> 00:23:00,560 Speaker 1: is a medical doctor, yes, and there is there is 356 00:23:00,640 --> 00:23:04,400 Speaker 1: fascinating research going to this and coming out of multiple universities, 357 00:23:04,560 --> 00:23:09,120 Speaker 1: multiple hospitals, multiple you know, parts of the world. It's 358 00:23:09,160 --> 00:23:12,520 Speaker 1: just as we're moving through this stuff. I do share 359 00:23:12,600 --> 00:23:15,119 Speaker 1: your feeling, Noll, that's it feels too good to be 360 00:23:15,160 --> 00:23:18,040 Speaker 1: true right now, because it it does feel too good 361 00:23:18,040 --> 00:23:21,360 Speaker 1: to be true. Yeah, it depends on what people are 362 00:23:21,400 --> 00:23:24,639 Speaker 1: maintaining is the truth. And we'll keep in mind, folks, 363 00:23:24,640 --> 00:23:29,080 Speaker 1: we're not talking about some sort of consensual Benjamin Button situation. 364 00:23:29,560 --> 00:23:32,000 Speaker 1: No one has a switch they can flip, no human 365 00:23:32,040 --> 00:23:35,840 Speaker 1: at least where they can instantly return to a juvenile 366 00:23:36,200 --> 00:23:41,720 Speaker 1: or infant stage. That superpower does belong to one living organism. 367 00:23:42,200 --> 00:23:45,440 Speaker 1: It's a type of jellyfish that we discuss in depth 368 00:23:45,480 --> 00:23:49,680 Speaker 1: in a previous episode in depth Ocean jokes. Anyway, so 369 00:23:49,720 --> 00:23:52,160 Speaker 1: far as we know, people have also not been able 370 00:23:52,240 --> 00:23:57,119 Speaker 1: to successfully replace themselves with clones. And that's good because 371 00:23:57,160 --> 00:24:01,359 Speaker 1: that wouldn't really be you anyway. Genetic makeup is a 372 00:24:01,520 --> 00:24:06,399 Speaker 1: surprisingly small part of what makes the you the actual you. 373 00:24:07,280 --> 00:24:11,000 Speaker 1: So if you made a clone of yourself, you grew 374 00:24:11,040 --> 00:24:13,639 Speaker 1: it up in a vat or whatever. Even if you 375 00:24:13,720 --> 00:24:19,040 Speaker 1: try to replicate all your formative life experiences, it would 376 00:24:19,040 --> 00:24:22,240 Speaker 1: be a very different person from the person that you are. 377 00:24:22,359 --> 00:24:25,600 Speaker 1: So that's kind of like a high right sort of 378 00:24:25,640 --> 00:24:29,439 Speaker 1: fools gold bargain. Anyway, So what are what are we 379 00:24:29,480 --> 00:24:32,280 Speaker 1: talking about when we say reverse aging? Well, Matt, you 380 00:24:32,359 --> 00:24:36,480 Speaker 1: brought up all the excellent work by many doctors, scientists, 381 00:24:37,320 --> 00:24:41,840 Speaker 1: many nonprofit institutions, but a lot of folks leading the 382 00:24:41,920 --> 00:24:47,000 Speaker 1: charge are private entities. They are biotech startups, and several 383 00:24:47,000 --> 00:24:53,879 Speaker 1: of them are entirely focused on reversing biological age. Dozens 384 00:24:53,920 --> 00:24:57,280 Speaker 1: of these groups, more than dozens probably actually, by the 385 00:24:57,320 --> 00:24:59,520 Speaker 1: time this podcast comes out. They want to be the 386 00:24:59,560 --> 00:25:03,960 Speaker 1: first the post to realize that promise that old doctor 387 00:25:04,000 --> 00:25:08,120 Speaker 1: B is talking about through drugs that would be loosely 388 00:25:08,160 --> 00:25:13,080 Speaker 1: called senolytics, as in, you know, fighting against sin essence. 389 00:25:14,080 --> 00:25:19,919 Speaker 1: These pharmaceuticals can clear out those old dysfunctional cells and 390 00:25:20,119 --> 00:25:24,680 Speaker 1: not damage the young functioning ones. They can clean the 391 00:25:24,760 --> 00:25:31,000 Speaker 1: house of time. You know, so weird, that's so weird. 392 00:25:31,040 --> 00:25:33,399 Speaker 1: And they're again there are a bunch of groups working 393 00:25:33,400 --> 00:25:35,960 Speaker 1: on things that like this. A couple of small shoutouts 394 00:25:35,960 --> 00:25:38,160 Speaker 1: before we get to the big one, because there's there's 395 00:25:38,200 --> 00:25:42,520 Speaker 1: a there's a big dog in the game here. We 396 00:25:42,680 --> 00:25:46,159 Speaker 1: just learned about the Albert Einstein College of Medicine of 397 00:25:46,320 --> 00:25:49,280 Speaker 1: Yeshiva University. There's a group of people they're working on 398 00:25:49,359 --> 00:25:52,400 Speaker 1: this stuff. There were several others. I think it's an 399 00:25:52,440 --> 00:25:56,280 Speaker 1: author been that I heard about, David Sinclair who is 400 00:25:56,359 --> 00:25:59,159 Speaker 1: also a He writes a lot about this and is 401 00:25:59,200 --> 00:26:02,440 Speaker 1: doing a lot of research on this. The way these 402 00:26:02,440 --> 00:26:06,600 Speaker 1: people talk about these things, y'all, it's it's just like before. 403 00:26:07,160 --> 00:26:09,840 Speaker 1: It feels like it's happening right now. It's like it's 404 00:26:09,880 --> 00:26:14,840 Speaker 1: already here, It's already happening. It's it's really impressive. But 405 00:26:14,920 --> 00:26:17,119 Speaker 1: when you think about this huge place that we're going 406 00:26:17,200 --> 00:26:23,439 Speaker 1: to introduce you to now, it feels like, at least 407 00:26:23,480 --> 00:26:25,959 Speaker 1: in the minds of the billionaires, the member we were 408 00:26:26,000 --> 00:26:28,439 Speaker 1: talking about, the really powerful people they want to live forever. 409 00:26:28,680 --> 00:26:32,919 Speaker 1: It feels like they see it. That class of powerful 410 00:26:32,960 --> 00:26:35,520 Speaker 1: people that want to live forever, they already see this thing. 411 00:26:35,520 --> 00:26:38,479 Speaker 1: It's in their sights. Yeah, and it should spook you. Uh, 412 00:26:38,840 --> 00:26:43,720 Speaker 1: Mission Control, could we get some spooky music, some scary music, 413 00:26:43,800 --> 00:26:48,240 Speaker 1: something ominous there. It is one of the new biggest 414 00:26:48,280 --> 00:26:54,320 Speaker 1: dogs in the game now, place called Altos Labs. Altos 415 00:26:54,560 --> 00:26:59,640 Speaker 1: launched in twenty twenty one. This group has four Nobel 416 00:27:00,280 --> 00:27:04,760 Speaker 1: winners on the board and they have funding of three 417 00:27:05,320 --> 00:27:09,639 Speaker 1: billion dollars. Yes that's with a B. And they also 418 00:27:09,760 --> 00:27:13,919 Speaker 1: caught the interests of folks like the modern Mansa Musa, 419 00:27:14,200 --> 00:27:19,720 Speaker 1: Jeff Bezos. To them, aging is just a series of processes, 420 00:27:19,960 --> 00:27:23,440 Speaker 1: which means they can not only be manipulated and tweaked, 421 00:27:23,520 --> 00:27:28,480 Speaker 1: but they can be hacked. One of the big one 422 00:27:28,480 --> 00:27:32,600 Speaker 1: of the big boffins working for Altos said quote, In 423 00:27:32,680 --> 00:27:36,879 Speaker 1: certain ways, I interpret aging as a software error. And 424 00:27:36,960 --> 00:27:40,120 Speaker 1: what surprises me about this more to think about it, 425 00:27:40,119 --> 00:27:44,000 Speaker 1: it's actually really valid way to look at it, right, agree, 426 00:27:44,560 --> 00:27:48,880 Speaker 1: It's just the data is compiling in erroneous ways as 427 00:27:48,920 --> 00:27:51,840 Speaker 1: you make copies of copies of copies of copies, and 428 00:27:51,960 --> 00:27:54,959 Speaker 1: you can't shut your system down to just reboot that 429 00:27:55,040 --> 00:27:58,760 Speaker 1: program so that it'll just start running correctly again and 430 00:27:58,920 --> 00:28:04,760 Speaker 1: just fix that error. Um, we have to sleep. Maybe 431 00:28:04,760 --> 00:28:07,920 Speaker 1: that really is why we have to sleep. It's compiling errors. Well, 432 00:28:08,040 --> 00:28:11,959 Speaker 1: the sleep is I think a good analogy would be 433 00:28:12,160 --> 00:28:16,080 Speaker 1: old school defragging a hard drive right of your mind, Yeah, 434 00:28:16,320 --> 00:28:20,400 Speaker 1: cleaning up the leftover detritus, you know, of of of 435 00:28:20,480 --> 00:28:23,359 Speaker 1: memory and all of that stuff. Yeah, there's a there's 436 00:28:23,359 --> 00:28:26,480 Speaker 1: another thing we found and you know, again, this is 437 00:28:26,520 --> 00:28:29,000 Speaker 1: not a ding on these people, but just in the 438 00:28:29,080 --> 00:28:31,960 Speaker 1: interest of transparency supporting a note that a lot of 439 00:28:31,960 --> 00:28:35,320 Speaker 1: the quotes were pulling from are people who are very 440 00:28:35,359 --> 00:28:38,480 Speaker 1: excited about their research, and in some cases people who 441 00:28:38,480 --> 00:28:43,400 Speaker 1: are trying to sell their research, such as Kristen Fortney, 442 00:28:43,920 --> 00:28:47,640 Speaker 1: the CEO of a place called Bioage Labs based in 443 00:28:47,680 --> 00:28:52,120 Speaker 1: San Francisco. The CEO says the following quote. There are 444 00:28:52,240 --> 00:28:57,200 Speaker 1: no hard limits imposed by biology or by physics that 445 00:28:57,320 --> 00:29:03,120 Speaker 1: say we can't live better longer. Her company uses vast 446 00:29:03,160 --> 00:29:07,240 Speaker 1: amounts of biobank, blood and tissue samples to try to 447 00:29:07,280 --> 00:29:11,320 Speaker 1: target markers of aging. That's the big thing. You got 448 00:29:11,320 --> 00:29:16,200 Speaker 1: to find what is creating this problem. Why does that 449 00:29:16,400 --> 00:29:21,800 Speaker 1: eighty year old person function less well than that fifty 450 00:29:21,880 --> 00:29:24,400 Speaker 1: year old person, right? And is there a way to 451 00:29:24,520 --> 00:29:27,200 Speaker 1: change that? Well? And also, I mean there are I 452 00:29:27,240 --> 00:29:32,880 Speaker 1: guess markers that are associated with aging less right, Like 453 00:29:32,960 --> 00:29:37,000 Speaker 1: certain people lose their hair, you know, certain people go gray, 454 00:29:37,120 --> 00:29:40,400 Speaker 1: some people don't. You know, people experience aging differently. Some 455 00:29:40,440 --> 00:29:44,280 Speaker 1: folks would maybe more elastic skin, they don't show cracks 456 00:29:44,360 --> 00:29:46,840 Speaker 1: or wrinkles as much, you know. I mean, there's definitely 457 00:29:47,840 --> 00:29:52,240 Speaker 1: desirable genetic traits while not you know, the equivalent of 458 00:29:52,880 --> 00:29:56,760 Speaker 1: life extension that would be good, you know for folks 459 00:29:56,800 --> 00:29:59,800 Speaker 1: to have. Yeah, And I mean the hair stuff is 460 00:30:00,080 --> 00:30:05,000 Speaker 1: maybe more cosmetic, I guess, but if it does have 461 00:30:05,080 --> 00:30:10,160 Speaker 1: association with something else, that's what those folks are looking at. 462 00:30:10,200 --> 00:30:14,000 Speaker 1: They're getting under the hood in a real way. They're 463 00:30:14,040 --> 00:30:18,440 Speaker 1: looking at the nervous system, the brain, the circulatory system, 464 00:30:19,080 --> 00:30:24,560 Speaker 1: and this bioage lab in particular, those folks are working 465 00:30:24,600 --> 00:30:29,600 Speaker 1: on drugs that will slow age related muscle loss in mice. 466 00:30:29,760 --> 00:30:31,960 Speaker 1: Let's go back to the CEO. Let's get in the 467 00:30:31,960 --> 00:30:34,760 Speaker 1: weeds just a little bit for this quote because it's 468 00:30:34,840 --> 00:30:37,200 Speaker 1: it's kind of creepy and we're going to hang out 469 00:30:37,240 --> 00:30:39,480 Speaker 1: with mice for a minute here. Quote. There is a 470 00:30:39,480 --> 00:30:43,040 Speaker 1: protein called appolin circulates in the blood, and we saw 471 00:30:43,080 --> 00:30:45,640 Speaker 1: that middle aged people with higher levels of applin in 472 00:30:45,680 --> 00:30:48,960 Speaker 1: their blood, we're living longer, with better muscle function and 473 00:30:49,120 --> 00:30:52,520 Speaker 1: better cognitive function as they age. So we gave this 474 00:30:52,600 --> 00:30:55,600 Speaker 1: drug to really old mice and we showed that it 475 00:30:55,640 --> 00:30:59,400 Speaker 1: could improve their muscle function. It helps them run faster 476 00:30:59,560 --> 00:31:03,640 Speaker 1: in their wheels, It increased their muscle size, it improved 477 00:31:03,880 --> 00:31:10,200 Speaker 1: their grip strength. M I know, everybody, everybody listening, just 478 00:31:10,240 --> 00:31:12,320 Speaker 1: go inject that apple. And we're kidding. This is not 479 00:31:12,440 --> 00:31:16,960 Speaker 1: medical advice. To be careful the apple and Olympics. Olympics, Yes, 480 00:31:17,440 --> 00:31:20,600 Speaker 1: what was that? Our buddy Dan Harman said we were 481 00:31:20,600 --> 00:31:23,800 Speaker 1: pitching in Olympics with no rules to him and he 482 00:31:24,000 --> 00:31:30,040 Speaker 1: was like, yeah, make them part truck, part man, all American, whatever, 483 00:31:30,160 --> 00:31:33,840 Speaker 1: all Russian. I think all Russian. That's right, that's it. Yeah, sorry, Dan. 484 00:31:34,560 --> 00:31:40,280 Speaker 1: But the thing is virtually every tech giant that you 485 00:31:40,400 --> 00:31:44,200 Speaker 1: know of as an individual, every one of them, through 486 00:31:44,240 --> 00:31:47,600 Speaker 1: one proxy or another, is probably investing in stuff like this. 487 00:31:48,160 --> 00:31:52,520 Speaker 1: Uh like chat gpt created by open Ai. The CEO 488 00:31:52,920 --> 00:31:55,880 Speaker 1: of open Ai, a guy named Sam Altman. It came 489 00:31:55,880 --> 00:32:00,640 Speaker 1: out recently. This one guy ponied up one hundred eighty 490 00:32:00,760 --> 00:32:06,280 Speaker 1: million dollars to start to invest in a biotech startup 491 00:32:06,320 --> 00:32:11,760 Speaker 1: called retro Biosciences. Jack Dorsey, Mark Zuckerberg. We mentioned our 492 00:32:11,800 --> 00:32:15,760 Speaker 1: buddy Jeff all the hits. They are paying big money 493 00:32:15,880 --> 00:32:20,320 Speaker 1: into this because these are no longer quite high in 494 00:32:20,360 --> 00:32:24,600 Speaker 1: the sky projects. This is not a in the pan 495 00:32:24,840 --> 00:32:29,120 Speaker 1: like an NFT. These drugs, some of them are already 496 00:32:29,120 --> 00:32:34,520 Speaker 1: out there. Welcome to our weird not quite advertisement for 497 00:32:34,720 --> 00:32:40,080 Speaker 1: a diabetes drug called met Foreman. So met Foreman. It's 498 00:32:40,200 --> 00:32:42,480 Speaker 1: used to treat diabetes, as he said, and it seems 499 00:32:42,520 --> 00:32:45,960 Speaker 1: to create thirty percent lower rates of almost every kind 500 00:32:46,000 --> 00:32:53,200 Speaker 1: of cancer. That's cool. It also appears to delay cognitive decline, and, 501 00:32:53,360 --> 00:32:58,280 Speaker 1: as doctor Barzillai says, quote even people with diabetes who 502 00:32:58,280 --> 00:33:01,240 Speaker 1: are OBEs and have more disease to start with, but 503 00:33:01,280 --> 00:33:05,320 Speaker 1: are on met foreman have lower mortality rates than people 504 00:33:05,360 --> 00:33:10,280 Speaker 1: without diabetes who aren't on the drug. Interesting if you 505 00:33:10,360 --> 00:33:13,840 Speaker 1: start seeing something like that in drug trials. Right, Okay, 506 00:33:13,880 --> 00:33:18,080 Speaker 1: we're trying to treat this one very specific thing, diabetes 507 00:33:18,120 --> 00:33:20,960 Speaker 1: with this drug, but there's all these other positive effects. 508 00:33:21,800 --> 00:33:24,640 Speaker 1: You're you know, brain starts going, what else could we 509 00:33:24,760 --> 00:33:30,000 Speaker 1: use this for? There's lots of money here. Sorry, that's 510 00:33:30,800 --> 00:33:33,440 Speaker 1: are thinking. That's not what the scientists are thinking. But 511 00:33:33,520 --> 00:33:36,120 Speaker 1: the folks who give the lights on probably are right. 512 00:33:36,440 --> 00:33:41,120 Speaker 1: And that's the issue. Like so many technological breakthroughs, we 513 00:33:41,160 --> 00:33:45,280 Speaker 1: can see precedence at play. The money is there, the need, 514 00:33:45,400 --> 00:33:48,560 Speaker 1: the desire is there, and those are the two factors 515 00:33:48,600 --> 00:33:52,480 Speaker 1: that push the science forward, which means it's quite likely 516 00:33:52,600 --> 00:33:56,360 Speaker 1: that within a decade or so, maybe sooner, some people 517 00:33:56,520 --> 00:34:01,080 Speaker 1: will be able to turn back parts of their biological clocks. 518 00:34:01,120 --> 00:34:04,240 Speaker 1: But we have to remember, folks, this is a critical 519 00:34:04,320 --> 00:34:08,600 Speaker 1: thinking show. We ask questions people don't always want answered, 520 00:34:09,000 --> 00:34:12,080 Speaker 1: So in our continuing mission to be fun at parties, 521 00:34:12,200 --> 00:34:16,560 Speaker 1: we have to pose a question for you, should human 522 00:34:16,719 --> 00:34:21,640 Speaker 1: society reverse aging? I can, but should will pause for 523 00:34:21,680 --> 00:34:25,799 Speaker 1: a word from our sponsors, and we'll be back as 524 00:34:25,800 --> 00:34:35,920 Speaker 1: time takes by. All right, we're back. What do we 525 00:34:35,960 --> 00:34:41,319 Speaker 1: think should human society reverse aging? Well, I mean we've 526 00:34:41,320 --> 00:34:47,040 Speaker 1: talked about how our natural resources are pretty taxed by 527 00:34:47,239 --> 00:34:49,440 Speaker 1: the population as it is. I mean, if we can 528 00:34:49,520 --> 00:34:53,319 Speaker 1: no longer depend on rates of attrition as far as 529 00:34:53,320 --> 00:34:58,360 Speaker 1: existing you know, human lives, seems like a pretty bad idea, 530 00:34:58,480 --> 00:35:01,840 Speaker 1: a recipe for disaster. And of course, see now the 531 00:35:01,880 --> 00:35:04,799 Speaker 1: part of the conversation your mind immediately jumps to is 532 00:35:05,040 --> 00:35:07,640 Speaker 1: would this be something that only the upper upper of 533 00:35:07,680 --> 00:35:10,480 Speaker 1: the upper class could afford and they would sort of collude, 534 00:35:10,960 --> 00:35:12,880 Speaker 1: you know, to be able to do that, even if 535 00:35:12,880 --> 00:35:15,520 Speaker 1: it was a detriment to the rest of the world. Yeah, 536 00:35:15,520 --> 00:35:19,080 Speaker 1: I imagine how expensive this drug is going to get. Seriously, 537 00:35:20,080 --> 00:35:25,840 Speaker 1: I mean within years, not decades, within years, this drug 538 00:35:25,920 --> 00:35:30,120 Speaker 1: is going to be so sought after and it's only Yeah, 539 00:35:30,200 --> 00:35:33,600 Speaker 1: there's no way this drugs can be so expensive. Yeah, 540 00:35:33,800 --> 00:35:36,920 Speaker 1: it would likely be a cocktail of drugs, right, a 541 00:35:37,080 --> 00:35:41,200 Speaker 1: regiment of treatments. I mean, of course, I always think 542 00:35:41,200 --> 00:35:45,359 Speaker 1: of my old argument with Scott Benjamin about flying cars. 543 00:35:45,360 --> 00:35:48,360 Speaker 1: Scott's right, flying cars are a terrible idea because humans 544 00:35:48,360 --> 00:35:51,399 Speaker 1: are terrible drivers. On the ground, that's the reason most 545 00:35:51,440 --> 00:35:54,920 Speaker 1: people are not pilots. But for a lot of people, 546 00:35:55,160 --> 00:35:59,799 Speaker 1: when you ask about reverse aging, most folks would say, well, yeah, 547 00:36:00,080 --> 00:36:03,479 Speaker 1: at least for me, just like flying cars would be great. 548 00:36:03,520 --> 00:36:05,600 Speaker 1: If I was the only one with a flying car. 549 00:36:05,880 --> 00:36:08,960 Speaker 1: If I the only one who can reverse aging, that's awesome. 550 00:36:09,280 --> 00:36:11,840 Speaker 1: I don't want to die. I'm not done yet. It's 551 00:36:11,880 --> 00:36:14,800 Speaker 1: still my turn. You jerks, that kind of thing. But 552 00:36:15,920 --> 00:36:19,439 Speaker 1: if you think about the world overall, then we see 553 00:36:19,480 --> 00:36:23,200 Speaker 1: that humanity, going back to the study of death amatology, 554 00:36:23,840 --> 00:36:31,040 Speaker 1: humanity has created these millennia old systems based entirely on 555 00:36:31,160 --> 00:36:37,760 Speaker 1: the fact that people have predictable mortality. Every single culture 556 00:36:38,280 --> 00:36:40,719 Speaker 1: you meet, and I know this sounds like a broad brush, 557 00:36:40,840 --> 00:36:44,480 Speaker 1: every single culture you meet is based on and exists 558 00:36:44,560 --> 00:36:48,120 Speaker 1: upon the founding thought that people in it will die. 559 00:36:48,800 --> 00:36:53,799 Speaker 1: That's the heart of the thing. Spoiler alert. And what 560 00:36:53,920 --> 00:36:57,719 Speaker 1: happens if a system like that gets confronted with a 561 00:36:57,840 --> 00:37:03,000 Speaker 1: population that sticks around, that elongates their most productive years, 562 00:37:03,320 --> 00:37:06,080 Speaker 1: it totally upends the system. Everything that's in place is 563 00:37:06,160 --> 00:37:10,120 Speaker 1: like irrelevant now, things like pensions and you know what 564 00:37:10,120 --> 00:37:13,399 Speaker 1: I mean, like or what I'm being silly? Not really, no, really, 565 00:37:13,880 --> 00:37:18,080 Speaker 1: that's absolutely something that is codified within our system of living. 566 00:37:18,360 --> 00:37:19,919 Speaker 1: And if all of a sudden we throw the wrench 567 00:37:19,960 --> 00:37:22,560 Speaker 1: in the works of immortality, you know, and again this 568 00:37:22,600 --> 00:37:25,239 Speaker 1: is only if it's more available than I think. You know, 569 00:37:25,280 --> 00:37:28,760 Speaker 1: we think it will be definitely upends a lot of stuff. 570 00:37:28,800 --> 00:37:31,560 Speaker 1: But why don't we operate under the assumption that it 571 00:37:31,719 --> 00:37:34,960 Speaker 1: is only the upper of the upper echelon. They have 572 00:37:35,040 --> 00:37:37,680 Speaker 1: access to so much stuff anyway, and they have wealth 573 00:37:37,719 --> 00:37:41,000 Speaker 1: that is legacy, wealth that could sustain them, you know, 574 00:37:41,040 --> 00:37:45,200 Speaker 1: it sustains generations of their family members. You know, why 575 00:37:45,280 --> 00:37:47,640 Speaker 1: would that be a hit on the rest of us? 576 00:37:47,800 --> 00:37:50,400 Speaker 1: Would that necessarily be a bad thing other than just 577 00:37:51,080 --> 00:37:53,040 Speaker 1: maybe not the best people in the whole world living 578 00:37:53,080 --> 00:37:57,480 Speaker 1: forever or living for a while, even one hundred and 579 00:37:57,520 --> 00:38:02,000 Speaker 1: twenty years is enough to rock foundations of the death 580 00:38:02,080 --> 00:38:06,200 Speaker 1: systems we call civilization. I mean, look, you raise a 581 00:38:06,239 --> 00:38:11,560 Speaker 1: great point, right. The world already has skyrocketing inequality, and 582 00:38:11,760 --> 00:38:14,719 Speaker 1: it's been skyrocketing for a while, but there's a new 583 00:38:14,800 --> 00:38:19,400 Speaker 1: level of disparity. What if you can tell somebody's income 584 00:38:20,280 --> 00:38:24,719 Speaker 1: by how old they are, right? What if sometimes you 585 00:38:24,760 --> 00:38:29,520 Speaker 1: can outside of blue zones? But nothing in history will 586 00:38:29,560 --> 00:38:34,040 Speaker 1: prepare humans for this potential acceleration. I was reading this 587 00:38:34,080 --> 00:38:37,759 Speaker 1: book by a guy named Matthew Desmond, author of a 588 00:38:38,000 --> 00:38:42,480 Speaker 1: poverty Comma by America. Right now, in the United States, 589 00:38:42,600 --> 00:38:47,040 Speaker 1: about one in nine people live in poverty. If that 590 00:38:47,160 --> 00:38:51,359 Speaker 1: population alone started its own country, it would be a 591 00:38:51,440 --> 00:38:56,160 Speaker 1: bigger country than Australia or Venezuela. There were there were 592 00:38:56,200 --> 00:38:59,840 Speaker 1: a lot of people who in the current system would 593 00:39:00,120 --> 00:39:04,200 Speaker 1: likely not have access to the ability, the means to 594 00:39:04,360 --> 00:39:08,000 Speaker 1: reverse their biological age. And then you start to imagine 595 00:39:08,040 --> 00:39:10,839 Speaker 1: these are all thought experiments. This hasn't happened yet as 596 00:39:10,920 --> 00:39:14,600 Speaker 1: we record, But imagine a world in which some tiny 597 00:39:14,680 --> 00:39:19,799 Speaker 1: percent of the global population becomes increasingly less like your 598 00:39:19,800 --> 00:39:24,640 Speaker 1: average Jane or Joe and increasingly more like some sort 599 00:39:24,680 --> 00:39:30,080 Speaker 1: of perpetual institution. You walk into the mansion, you look 600 00:39:30,160 --> 00:39:37,640 Speaker 1: just like your great grandfather, remember him fondly love for 601 00:39:37,760 --> 00:39:43,360 Speaker 1: caramel apples you had when napples was still abound. For sure, 602 00:39:43,520 --> 00:39:45,239 Speaker 1: I think, I think there were some things like that 603 00:39:45,320 --> 00:39:50,880 Speaker 1: in that show Carbon, what is it called Carbon? There 604 00:39:50,960 --> 00:39:53,840 Speaker 1: were some things like that exactly. It was very smart 605 00:39:54,000 --> 00:39:56,000 Speaker 1: sci fi. I love that because you know, we always 606 00:39:56,000 --> 00:40:00,279 Speaker 1: talk about smart sci fi. Oftentimes mimics reality eventually, you 607 00:40:00,280 --> 00:40:02,680 Speaker 1: know down the line, someone kind of figured it out. 608 00:40:03,239 --> 00:40:08,640 Speaker 1: Um they blew his stack the stack, Yeah exactly. Um, 609 00:40:08,760 --> 00:40:11,120 Speaker 1: But I still stand by though this idea that like, 610 00:40:12,160 --> 00:40:16,000 Speaker 1: you know, is it that different you know, passing down 611 00:40:16,080 --> 00:40:20,440 Speaker 1: that that that obscene wealth to an air you know, 612 00:40:20,640 --> 00:40:23,200 Speaker 1: I mean we know if we watch shows like a Succession, 613 00:40:23,640 --> 00:40:26,120 Speaker 1: they're just waiting for Daddy to die so they can 614 00:40:26,200 --> 00:40:29,520 Speaker 1: get the money. Like it's probably bad for the airs 615 00:40:29,840 --> 00:40:32,680 Speaker 1: if but is it bad for us, you know, the regulars? 616 00:40:33,400 --> 00:40:36,480 Speaker 1: Like is it going to change anything fundamentally about these 617 00:40:36,760 --> 00:40:40,040 Speaker 1: legacy families or whatever? That already our institutions for all 618 00:40:40,080 --> 00:40:42,440 Speaker 1: we care. It's just about who's in charge. You know, 619 00:40:43,360 --> 00:40:49,319 Speaker 1: it can because if you if your time horizon of 620 00:40:49,440 --> 00:40:54,760 Speaker 1: decisions right, if that, if that elongates, then your perspective changes, 621 00:40:55,360 --> 00:40:57,719 Speaker 1: you know. That's why that's a good point. That's why 622 00:40:57,719 --> 00:41:02,680 Speaker 1: the Catholic Church is so awesome at real estate because 623 00:41:02,719 --> 00:41:06,480 Speaker 1: they can lose money on a location. And the British crowd, 624 00:41:06,640 --> 00:41:09,400 Speaker 1: you know, and a lot of a lot of institutions, 625 00:41:09,800 --> 00:41:13,520 Speaker 1: they are better than you at real estate if you're listening, 626 00:41:13,680 --> 00:41:16,600 Speaker 1: because they can lose money on for a hundred years 627 00:41:16,600 --> 00:41:19,239 Speaker 1: and it doesn't matter they know they'll make a couple 628 00:41:19,400 --> 00:41:22,200 Speaker 1: hundred million on the back end, Right, every branch of 629 00:41:22,239 --> 00:41:26,200 Speaker 1: the US military, every branch of the US military, throwing 630 00:41:26,320 --> 00:41:29,360 Speaker 1: McDonald's as well. What we're saying is the playing ground 631 00:41:29,440 --> 00:41:32,799 Speaker 1: is unfair, right McDonald's. You could argue, is a real 632 00:41:32,920 --> 00:41:37,200 Speaker 1: estate holding company or hold go that happens to sell 633 00:41:37,320 --> 00:41:41,520 Speaker 1: French fries. So like, all right, okay, let me get 634 00:41:41,560 --> 00:41:46,000 Speaker 1: off this precarious soapbox. This okay, this same thing though, 635 00:41:46,239 --> 00:41:48,680 Speaker 1: what I love about your point, Noel, The same thing 636 00:41:49,000 --> 00:41:53,319 Speaker 1: could occur if someone is fully replicated as AI and 637 00:41:53,480 --> 00:41:57,360 Speaker 1: upload into a cloud with full legal rights, given the 638 00:41:57,400 --> 00:42:00,560 Speaker 1: power of attorney over whatever like whatever that looks like 639 00:42:00,600 --> 00:42:03,239 Speaker 1: they are for all intents of purposes that individual. That 640 00:42:03,280 --> 00:42:06,959 Speaker 1: could happen, That could happen, That could happen, And there 641 00:42:07,080 --> 00:42:11,160 Speaker 1: is a world in which humanity could, like the vast 642 00:42:11,200 --> 00:42:16,400 Speaker 1: majority of humanity could be controlled by something very close 643 00:42:16,440 --> 00:42:20,400 Speaker 1: to the gods of old religions run by mad ghosts 644 00:42:20,440 --> 00:42:23,640 Speaker 1: in the machines. Because you don't know what happened, like 645 00:42:23,719 --> 00:42:26,040 Speaker 1: no one's done it yet. We don't know what happens 646 00:42:26,080 --> 00:42:30,640 Speaker 1: when there's a real arnhem Zola, right, Marvel Universe anyway, 647 00:42:30,840 --> 00:42:36,640 Speaker 1: so I assumed as much. So then what happens to 648 00:42:36,680 --> 00:42:39,319 Speaker 1: the world's resource struggles? Well, they, yeah, that's so we've 649 00:42:39,280 --> 00:42:41,480 Speaker 1: been hitting out all along, and then why I'm yeah, 650 00:42:41,520 --> 00:42:44,359 Speaker 1: I'm asking what does it really look like? How does 651 00:42:44,400 --> 00:42:45,800 Speaker 1: it trickle down to the rest of us? And I 652 00:42:45,840 --> 00:42:48,520 Speaker 1: think your idea of perspective is super interesting, But I 653 00:42:48,560 --> 00:42:51,040 Speaker 1: think it only really takes a hit on the world's 654 00:42:51,040 --> 00:42:54,600 Speaker 1: resources if everybody gets this and then all of a sudden, 655 00:42:55,040 --> 00:42:58,319 Speaker 1: you know, the population in general just isn't dying off 656 00:42:58,560 --> 00:43:01,680 Speaker 1: like it used to. And while that sounds great, we're 657 00:43:01,680 --> 00:43:03,880 Speaker 1: not set up for that. We're barely set up for 658 00:43:03,960 --> 00:43:08,480 Speaker 1: what's already here. You know, someone's like, hey, we barely 659 00:43:08,560 --> 00:43:13,160 Speaker 1: have enough food for all eight billion of you to 660 00:43:13,320 --> 00:43:16,280 Speaker 1: reach the age of seventy three point one six years, 661 00:43:16,920 --> 00:43:19,920 Speaker 1: and now you can die a little earlier. That'd be 662 00:43:20,080 --> 00:43:25,200 Speaker 1: super dope if it's in your schedule. If it's your schedule. 663 00:43:25,320 --> 00:43:28,160 Speaker 1: But but yeah, there are these there are these huge 664 00:43:28,200 --> 00:43:32,000 Speaker 1: concerns that are happening, and there are a lot of 665 00:43:32,040 --> 00:43:36,680 Speaker 1: great ethicists talking about this, And yes, being an ethicist 666 00:43:36,920 --> 00:43:40,319 Speaker 1: is a real job, and it's an increasingly difficult one. 667 00:43:40,360 --> 00:43:43,720 Speaker 1: It's one that's often ignored. But where are we now? 668 00:43:43,800 --> 00:43:48,400 Speaker 1: In January of this year, Cell, which is a fantastic journal, 669 00:43:48,680 --> 00:43:52,160 Speaker 1: published an article by a guy that you mentioned earlier, 670 00:43:52,200 --> 00:43:55,960 Speaker 1: Matt David Sinclair, Professor of genetics at the blavat Nick 671 00:43:56,280 --> 00:44:00,279 Speaker 1: Institute of Harvard Medical School and co director of the 672 00:44:00,440 --> 00:44:04,040 Speaker 1: Paul F. Glenn Center for the Biology of Aging Research. 673 00:44:04,080 --> 00:44:07,600 Speaker 1: And this guy brought a whole team with him. They 674 00:44:07,640 --> 00:44:13,040 Speaker 1: started messing with aging in yeast. Yeah, yeast, you'll recognize 675 00:44:13,080 --> 00:44:18,840 Speaker 1: it's earlier work from bread. They started aging experiments with bread. 676 00:44:19,360 --> 00:44:23,480 Speaker 1: They moved up to mice. They've done some amazing things. Well. Yeah, 677 00:44:23,480 --> 00:44:27,040 Speaker 1: back in twenty twenty, David Sinclair and his teams published 678 00:44:27,280 --> 00:44:30,239 Speaker 1: the whole thing about how they could reverse the aging 679 00:44:30,480 --> 00:44:35,160 Speaker 1: of eyes in mice. They could make blind mice no 680 00:44:35,200 --> 00:44:39,399 Speaker 1: longer blind, which three of them, all three, all three 681 00:44:39,400 --> 00:44:42,879 Speaker 1: behind mice now have side again. No, but but for real, 682 00:44:43,000 --> 00:44:45,200 Speaker 1: that was in twenty twenty and now we're talking about 683 00:44:45,200 --> 00:44:48,240 Speaker 1: a study this year in twenty twenty three, that's three years. 684 00:44:48,760 --> 00:44:51,520 Speaker 1: Where did this this person, David Sinclair and the teams 685 00:44:51,520 --> 00:44:55,880 Speaker 1: have been working on this stuff, yes, and they've already 686 00:44:56,080 --> 00:45:01,200 Speaker 1: made huge steps forward. So creepy Okay. Sinclair was a 687 00:45:01,280 --> 00:45:06,719 Speaker 1: graduate student at MIT when they said, hey, there are 688 00:45:06,719 --> 00:45:12,800 Speaker 1: these genes they control aging in yeast, and they said, also, 689 00:45:13,360 --> 00:45:18,600 Speaker 1: holy smokes, holy chibbada, these genes exist in all creatures. 690 00:45:18,680 --> 00:45:22,240 Speaker 1: So is there a way to do this in people? 691 00:45:22,680 --> 00:45:26,440 Speaker 1: And you know, there's a lot of ethics around human experimentation. 692 00:45:26,560 --> 00:45:29,040 Speaker 1: You gotta jump through hoops. So they said, let's do 693 00:45:29,120 --> 00:45:33,600 Speaker 1: some stuff with mice first. And this has been away Ben. 694 00:45:33,680 --> 00:45:36,120 Speaker 1: They were really upset that we can't just jove right 695 00:45:36,160 --> 00:45:43,240 Speaker 1: to experimenting on humans. You know, it's a real missedommortuity. 696 00:45:44,920 --> 00:45:53,600 Speaker 1: They're just like us. There's a paperwork, Okay, there should be. Um, 697 00:45:53,640 --> 00:45:56,279 Speaker 1: I get it, is what I'm saying. I get it 698 00:45:56,440 --> 00:46:01,120 Speaker 1: still anyway. So uh yeah. So they did something that 699 00:46:01,200 --> 00:46:07,840 Speaker 1: might be very uncool to some people, especially our animal 700 00:46:07,920 --> 00:46:13,840 Speaker 1: rights activists and our vegans, vegetarians ethicist in the crowd. 701 00:46:14,480 --> 00:46:18,120 Speaker 1: They had to do real science and speak of not 702 00:46:18,239 --> 00:46:21,919 Speaker 1: real science. I want to shout out fringe been rewatching 703 00:46:21,920 --> 00:46:25,400 Speaker 1: that it's basically law and order as science fiction. But 704 00:46:27,000 --> 00:46:31,680 Speaker 1: there's a dark side to this science because, in addition 705 00:46:31,760 --> 00:46:36,840 Speaker 1: to the fantastic stuff you mentioned, Matt restoring site maculability 706 00:46:36,960 --> 00:46:42,960 Speaker 1: right and restoring muscle mass and brain and kidney function 707 00:46:43,040 --> 00:46:47,560 Speaker 1: to these older mice. They had to test the other side, 708 00:46:48,440 --> 00:46:52,400 Speaker 1: and they found that if they could flip some of 709 00:46:52,440 --> 00:46:58,440 Speaker 1: their processes, they could fast forward aging in mice, and 710 00:46:58,520 --> 00:47:05,080 Speaker 1: they could do it without necessarily causing cancer, like they 711 00:47:05,080 --> 00:47:07,560 Speaker 1: could do it without necessarily killing the thing. They could 712 00:47:07,560 --> 00:47:12,760 Speaker 1: just make it older. And this is tremendous research because 713 00:47:13,000 --> 00:47:15,880 Speaker 1: that proves an important thing, that proves there is a 714 00:47:15,920 --> 00:47:19,520 Speaker 1: process at play, right. And so if you wanted to 715 00:47:19,520 --> 00:47:22,760 Speaker 1: be a real super villain, you could make it such 716 00:47:22,800 --> 00:47:29,640 Speaker 1: that you are, you know, eternally thirty or forty or whatever. Theoretically, 717 00:47:29,640 --> 00:47:32,200 Speaker 1: if we're writing sci fi, and then you could just 718 00:47:32,440 --> 00:47:36,879 Speaker 1: hit a group. You could target a group and make 719 00:47:37,000 --> 00:47:42,080 Speaker 1: them age at a precarious, much faster rate. And that 720 00:47:43,040 --> 00:47:47,120 Speaker 1: hasn't happened yet. That has not happened yet. Maybe it 721 00:47:47,719 --> 00:47:50,360 Speaker 1: won't because again, you know, there's a lot of paperwork, 722 00:47:51,080 --> 00:47:53,960 Speaker 1: but this gives us a lot of questions, and there 723 00:47:54,000 --> 00:48:00,360 Speaker 1: are questions that are not being addressed. Should people live longer, honestly, yeah, 724 00:48:00,560 --> 00:48:04,800 Speaker 1: that'd be amazing, But the systems that humanity has built 725 00:48:05,239 --> 00:48:09,520 Speaker 1: since the day people started humaning, they're not built for that. 726 00:48:09,880 --> 00:48:14,200 Speaker 1: They're built on the assumption that mortality is predictable, right, 727 00:48:14,280 --> 00:48:19,800 Speaker 1: that usefulness and productiveness in any society is predictable, everything 728 00:48:19,840 --> 00:48:25,440 Speaker 1: from free market to theocracies, to communism or whatever flavor 729 00:48:25,520 --> 00:48:28,560 Speaker 1: you want at the ice cream store of ideology, the 730 00:48:28,640 --> 00:48:32,640 Speaker 1: ideas that we know people will die probably in their seventies. 731 00:48:33,000 --> 00:48:35,759 Speaker 1: What do you do. You got to change the system, right, 732 00:48:35,800 --> 00:48:38,799 Speaker 1: you have to make a new system. And if that 733 00:48:38,920 --> 00:48:46,040 Speaker 1: doesn't happen, then reversing aging is I hate to say, 734 00:48:46,080 --> 00:48:48,839 Speaker 1: it might be a bad thing more than a good thing. 735 00:48:49,400 --> 00:48:52,640 Speaker 1: On the retirement age is now ninety five, the time 736 00:48:52,719 --> 00:48:56,280 Speaker 1: in age is ninety five. The beatings will continue until 737 00:48:56,320 --> 00:49:01,680 Speaker 1: morale improves, right, I don't know. This always makes We 738 00:49:01,680 --> 00:49:04,480 Speaker 1: were talking about sci fi, but it's like, you want 739 00:49:04,520 --> 00:49:08,799 Speaker 1: to live in a world like Elysium where there's a 740 00:49:08,840 --> 00:49:14,080 Speaker 1: small population orbiting Earth and everybody works for them. You 741 00:49:14,120 --> 00:49:17,120 Speaker 1: have no access to all the stuff they I don't know. 742 00:49:17,280 --> 00:49:19,440 Speaker 1: I don't know, and I know that's kind of a 743 00:49:19,480 --> 00:49:23,160 Speaker 1: third rail, But what do you guys think? Do you think, well, 744 00:49:23,200 --> 00:49:25,520 Speaker 1: we should reverse it? I don't know. I think I 745 00:49:25,600 --> 00:49:27,560 Speaker 1: think we should check it out and see if we can. 746 00:49:27,800 --> 00:49:32,080 Speaker 1: Because there's gonna be a mass die off of humans 747 00:49:32,400 --> 00:49:35,880 Speaker 1: at some point if we can figure this out now 748 00:49:37,000 --> 00:49:40,279 Speaker 1: and lock it away somewhere right, like to put it 749 00:49:40,320 --> 00:49:44,520 Speaker 1: in the seed vault somewhere in Scandinavia, and we've got 750 00:49:44,520 --> 00:49:48,120 Speaker 1: the stuff ready to go after that asteroid hits or 751 00:49:48,520 --> 00:49:51,919 Speaker 1: you know that huge cme chrono mass egectu or whatever 752 00:49:51,920 --> 00:49:53,760 Speaker 1: it is and takes out a whole bunch of humans, 753 00:49:54,280 --> 00:49:56,799 Speaker 1: the ones that are left over, then we start them 754 00:49:56,800 --> 00:49:58,880 Speaker 1: on the met Foreman and the what was the other one? 755 00:49:58,920 --> 00:50:01,759 Speaker 1: There's another one, rep them Iyasin. Did you guys, did 756 00:50:01,800 --> 00:50:05,839 Speaker 1: you guys read about Rappa Mayasin? Yeah? Sounds cool. Does 757 00:50:05,840 --> 00:50:10,120 Speaker 1: it give you bars instantly? Yes, it does. It's from 758 00:50:10,200 --> 00:50:14,600 Speaker 1: Easter Island, specifically from the soil and Easter Island, and 759 00:50:14,680 --> 00:50:18,879 Speaker 1: there's a bacterium uh that's that's in there that can 760 00:50:18,960 --> 00:50:21,319 Speaker 1: end up doing some of the same things when you 761 00:50:21,360 --> 00:50:25,280 Speaker 1: apply like you turn it into a drug. Essentially, it's nuts. 762 00:50:25,800 --> 00:50:29,080 Speaker 1: It's nuts. There's so there are more of these things happening, 763 00:50:29,160 --> 00:50:31,600 Speaker 1: or there's more of these substances that are being discovered 764 00:50:31,600 --> 00:50:35,799 Speaker 1: that have these effects on the cell's biological clock. So 765 00:50:35,840 --> 00:50:38,200 Speaker 1: it does feel like it could be amazing if there 766 00:50:38,200 --> 00:50:40,919 Speaker 1: were a way fewer humans. But as we stand now, 767 00:50:41,480 --> 00:50:44,000 Speaker 1: you know, around the eight billion mark, it's probably a 768 00:50:44,040 --> 00:50:49,000 Speaker 1: scary thing to try. So what do you think, folks, Uh, 769 00:50:49,360 --> 00:50:52,680 Speaker 1: let us know. We can't we can't wait to hear 770 00:50:53,320 --> 00:50:57,160 Speaker 1: from all eight billion people in the crowd today. Uh, 771 00:50:57,480 --> 00:51:00,359 Speaker 1: just drop us a line on the internet. While that's 772 00:51:00,440 --> 00:51:03,600 Speaker 1: a thing we should be pretty easy to find. We're 773 00:51:03,640 --> 00:51:08,759 Speaker 1: talking facebooks, we're talking instagrams, We're talking YouTube's and TikTok's 774 00:51:09,520 --> 00:51:14,520 Speaker 1: and Twitter's conspiracy stuff on a lot of those conspiracy 775 00:51:14,520 --> 00:51:19,160 Speaker 1: stuff show on TikTok and Instagram. And if you don't 776 00:51:19,680 --> 00:51:23,480 Speaker 1: sip those social meads, have not a worry in your mind. 777 00:51:23,520 --> 00:51:26,440 Speaker 1: You can always give us a call directly. That's right. 778 00:51:26,480 --> 00:51:31,399 Speaker 1: We are one eight three three stdwy t K. Leave 779 00:51:31,440 --> 00:51:34,480 Speaker 1: a message at the sound of Ben's doves and tones. 780 00:51:34,840 --> 00:51:37,040 Speaker 1: You got three minutes to tell us your tale. Please 781 00:51:37,120 --> 00:51:38,680 Speaker 1: let us know if it's okay to use your audio 782 00:51:38,960 --> 00:51:41,080 Speaker 1: and give yourself a cool nickname, and you might just 783 00:51:41,120 --> 00:51:44,439 Speaker 1: hear yourself a one of our weekly listener mail episodes. Yes, 784 00:51:44,600 --> 00:51:46,440 Speaker 1: call us and tell us how much money you had 785 00:51:46,480 --> 00:51:49,880 Speaker 1: in Silicon Valley Bank and or Signature Bank and or 786 00:51:50,040 --> 00:51:53,759 Speaker 1: that third one that collapsed. Actually, don't tell us about that. 787 00:51:53,840 --> 00:51:56,000 Speaker 1: We just feel really bad for everybody involved there. But 788 00:51:56,080 --> 00:52:01,080 Speaker 1: also investment banking and regular baking shouldn't be tied together. 789 00:52:01,120 --> 00:52:03,040 Speaker 1: I'm going to get on my soapbox. If you don't 790 00:52:03,040 --> 00:52:04,680 Speaker 1: want to do any of that stuff, why not instead 791 00:52:04,760 --> 00:52:07,080 Speaker 1: to send us a good old fashioned email. We are 792 00:52:07,320 --> 00:52:29,960 Speaker 1: conspiracy at iHeartRadio dot com. Stuff they don't want you 793 00:52:30,000 --> 00:52:33,440 Speaker 1: to know. Is a production of iHeartRadio. For more podcasts 794 00:52:33,440 --> 00:52:36,680 Speaker 1: from my heart Radio, visit the iHeartRadio app, Apple Podcasts, 795 00:52:36,760 --> 00:52:38,640 Speaker 1: or wherever you listen to your favorite shows.