1 00:00:00,200 --> 00:00:02,520 Speaker 1: Hey, Matt, have you ever felt, you know, just like 2 00:00:02,600 --> 00:00:07,880 Speaker 1: weirdly tired always? You know, it's just always vibe. 3 00:00:08,039 --> 00:00:11,039 Speaker 2: That's that's my standard feeling throughout the day. 4 00:00:11,119 --> 00:00:13,880 Speaker 1: So, uh, I guess it's cool to have feel It's 5 00:00:14,000 --> 00:00:17,040 Speaker 1: uh not til long ago. In a previous Classic episode, 6 00:00:17,079 --> 00:00:21,800 Speaker 1: you pointed out that the phrase UAP has been around 7 00:00:21,920 --> 00:00:25,040 Speaker 1: for five years now, and it made me think a 8 00:00:25,079 --> 00:00:30,240 Speaker 1: little bit about age. What if there was a way 9 00:00:31,480 --> 00:00:38,239 Speaker 1: to mitigate the inevitable uh grind of time. What if 10 00:00:38,280 --> 00:00:42,879 Speaker 1: you could just take some blood from someone younger and 11 00:00:43,159 --> 00:00:45,280 Speaker 1: you know, get rid of that tired feeling. 12 00:00:45,800 --> 00:00:48,800 Speaker 2: Okay, Illuminati, I'm out of here, and. 13 00:00:48,680 --> 00:00:52,080 Speaker 1: We hope that you are in for today's classic episode, 14 00:00:52,120 --> 00:00:56,279 Speaker 1: The Modern Vampire. It's a true story. Uh. There have 15 00:00:56,400 --> 00:01:01,920 Speaker 1: been extensive experiments in the modern day with plasma transfusion 16 00:01:02,120 --> 00:01:07,760 Speaker 1: in a way that is ethically fraught and riddled with conspiracy. 17 00:01:07,720 --> 00:01:12,200 Speaker 3: From UFOs to psychic powers and government conspiracies. History is 18 00:01:12,280 --> 00:01:16,600 Speaker 3: riddled with unexplained events. You can turn back now or 19 00:01:16,680 --> 00:01:18,640 Speaker 3: learn this stuff they don't want you to know. 20 00:01:31,720 --> 00:01:34,840 Speaker 2: Hello, welcome back to the show. My name is Matt, my. 21 00:01:34,959 --> 00:01:40,119 Speaker 1: Name is Ben. Our compatriot nol is traveling at the moment, 22 00:01:40,160 --> 00:01:42,399 Speaker 1: but we'll be back soon. We are joined with our 23 00:01:42,480 --> 00:01:46,119 Speaker 1: super producer Paul Deckin. Most importantly, you are you, and 24 00:01:46,160 --> 00:01:50,440 Speaker 1: that makes this stuff they don't want you to know? Matt, 25 00:01:50,480 --> 00:01:52,880 Speaker 1: I propose we begin this episode with a little bit 26 00:01:52,880 --> 00:01:54,040 Speaker 1: of a peak behind the curtain. 27 00:01:54,280 --> 00:01:54,760 Speaker 2: All right. 28 00:01:55,240 --> 00:02:02,040 Speaker 1: So for the past gosh to two months almost, Matt 29 00:02:02,200 --> 00:02:06,560 Speaker 1: and Noel and I have been kicking the can down 30 00:02:06,560 --> 00:02:11,280 Speaker 1: the road regarding a very interesting email we receive about 31 00:02:11,280 --> 00:02:15,440 Speaker 1: the Georgia guidestones. And every episode we have told each 32 00:02:15,480 --> 00:02:18,359 Speaker 1: other we're going to read this in a shout out 33 00:02:18,360 --> 00:02:21,960 Speaker 1: corner at the end of the show. And we've just been, 34 00:02:22,560 --> 00:02:25,200 Speaker 1: you know, so much like a dog chasing a ball 35 00:02:25,600 --> 00:02:27,239 Speaker 1: that by the time we get to the end of 36 00:02:27,280 --> 00:02:31,440 Speaker 1: an episode, we've we've found that we don't have room 37 00:02:31,600 --> 00:02:32,320 Speaker 1: to squeeze this in. 38 00:02:32,840 --> 00:02:36,600 Speaker 2: Yeah, but we're gonna instead of squeezing it in, we're 39 00:02:36,639 --> 00:02:38,799 Speaker 2: just going to place it in front of you, right 40 00:02:38,800 --> 00:02:40,000 Speaker 2: here in front of this podcast. 41 00:02:40,280 --> 00:02:44,200 Speaker 1: So let's consider this an oddly placed shout out corner. 42 00:02:46,560 --> 00:02:50,040 Speaker 2: The message says, greetings, Ben, Matt Knowle. This email is 43 00:02:50,040 --> 00:02:51,640 Speaker 2: in regards to the stuff they Don't want you to know. 44 00:02:51,720 --> 00:02:55,840 Speaker 2: Podcast episode titled Who built the Georgia Guidestones, published eighteenth 45 00:02:55,919 --> 00:02:57,880 Speaker 2: of November twenty sixteen. 46 00:02:58,000 --> 00:02:59,920 Speaker 1: We got there, We got to it eventually, We. 47 00:02:59,840 --> 00:03:03,600 Speaker 2: Did it, says. Firstly, there were several pieces of information 48 00:03:03,680 --> 00:03:05,680 Speaker 2: left out from your discussions on the topic, and this 49 00:03:05,720 --> 00:03:08,600 Speaker 2: is a much longer email than we are going to 50 00:03:08,600 --> 00:03:12,040 Speaker 2: read now. We are reading one piece of it that 51 00:03:12,320 --> 00:03:17,680 Speaker 2: was most compelling to us, It says. The identity of 52 00:03:17,840 --> 00:03:20,640 Speaker 2: RC Christian has since been revealed to be that of 53 00:03:20,720 --> 00:03:28,280 Speaker 2: one Herbert Hinney Hnie Kirsten, a doctor from Fort Dodge, Iowa. 54 00:03:28,800 --> 00:03:31,799 Speaker 2: This was first reported in the documentary film Dark Clouds 55 00:03:31,840 --> 00:03:35,640 Speaker 2: Over Elberton by Chris Pinto. It is also reported that 56 00:03:35,720 --> 00:03:38,680 Speaker 2: Kirsten was a supporter of David Duke, the former Grand 57 00:03:38,680 --> 00:03:41,320 Speaker 2: Wizard of the Knights of the klu Klux Klan and 58 00:03:41,440 --> 00:03:45,240 Speaker 2: proponent of eugenics. He was apparently aided by a friend 59 00:03:45,240 --> 00:03:48,800 Speaker 2: of his, Robert Merriman, who helped publish the Common Sense 60 00:03:48,840 --> 00:03:51,240 Speaker 2: Renewed book, the one that we mentioned in that episode, 61 00:03:51,280 --> 00:03:52,840 Speaker 2: A Whole Bunch, and we actually have a copy of 62 00:03:54,200 --> 00:03:56,120 Speaker 2: and it was written this is written to us by 63 00:03:56,920 --> 00:03:58,560 Speaker 2: quote a guide to the. 64 00:03:58,680 --> 00:04:03,000 Speaker 1: End, and we thought this was we thought this was 65 00:04:03,120 --> 00:04:08,320 Speaker 1: fantastic well, at least it's a fantastic lead on the 66 00:04:08,360 --> 00:04:11,720 Speaker 1: true identity of RC Christian. At this point, it has 67 00:04:11,800 --> 00:04:16,479 Speaker 1: not been conclusively proven. Not everybody agrees that this is 68 00:04:16,520 --> 00:04:21,120 Speaker 1: indeed Herbert Hinney Kirsten or Herbert Heinie Kirsten. But I 69 00:04:21,160 --> 00:04:24,520 Speaker 1: think it's Hinny. I think it's Anny, Matt. This has 70 00:04:24,600 --> 00:04:28,520 Speaker 1: not been conclusively proven in a way that everybody accepts. 71 00:04:28,520 --> 00:04:31,039 Speaker 1: But this is one of the most recent arguments for 72 00:04:31,240 --> 00:04:34,839 Speaker 1: the true identity of RC Christian. If you'd like to 73 00:04:34,880 --> 00:04:38,400 Speaker 1: learn more, please check out the documentary Dark Clouds over Elberton, 74 00:04:38,560 --> 00:04:42,920 Speaker 1: as well as the fantastic documentary that Matt put together. 75 00:04:43,839 --> 00:04:44,960 Speaker 2: Now that we put together. 76 00:04:45,640 --> 00:04:50,200 Speaker 1: Okay, but it's available on Amazon for free, just search 77 00:04:50,320 --> 00:04:55,839 Speaker 1: for us. Yeah, Echeton Secret is out the name of 78 00:04:56,320 --> 00:04:59,400 Speaker 1: our take on it, and maybe one day we'll just 79 00:04:59,560 --> 00:05:02,680 Speaker 1: get it on YouTube as well. Agreed, we should do that, 80 00:05:03,360 --> 00:05:10,560 Speaker 1: And this concludes our oddly place onto the show. Let's 81 00:05:10,560 --> 00:05:14,800 Speaker 1: get let's get creepy. Let's get creepy immediately. Okay, Oh, 82 00:05:14,880 --> 00:05:20,680 Speaker 1: there's a creepy voice, Matt. We've all heard myths about vampires, right, Yes, 83 00:05:21,160 --> 00:05:24,599 Speaker 1: some form of a vampire legend exists on every continent, 84 00:05:24,680 --> 00:05:29,760 Speaker 1: with the possible exception of Antarctica. There's the typical Dracula 85 00:05:29,880 --> 00:05:33,800 Speaker 1: type vampire that's possibly the most familiar type of vampire 86 00:05:33,839 --> 00:05:36,440 Speaker 1: here in the West, but there are other creatures as well, 87 00:05:36,480 --> 00:05:39,120 Speaker 1: like the swan and the Philippines, or the lamia in 88 00:05:39,440 --> 00:05:41,000 Speaker 1: Grecian folklore. 89 00:05:41,120 --> 00:05:45,479 Speaker 2: Yeah, bloodsuckers, beings that exist on the sanguine delights of 90 00:05:45,600 --> 00:05:46,760 Speaker 2: other beings. 91 00:05:47,320 --> 00:05:48,880 Speaker 1: That's a great that's a great description. 92 00:05:49,040 --> 00:05:51,400 Speaker 2: Yeah. Yeah, And it's really tough to trace the beginnings 93 00:05:51,440 --> 00:05:53,800 Speaker 2: of this myth of what a vampire is, what it 94 00:05:54,040 --> 00:05:58,400 Speaker 2: was before it became a capital v vampire that's in 95 00:05:58,520 --> 00:06:02,440 Speaker 2: movies and pop culture, and from demons to Dracula, the 96 00:06:02,480 --> 00:06:07,479 Speaker 2: creation of the modern vampire myth. The author Matthew Beresford notes, quote, 97 00:06:07,640 --> 00:06:10,559 Speaker 2: there are clear foundations for the vampire and the ancient world, 98 00:06:10,600 --> 00:06:13,240 Speaker 2: and it is impossible to prove when the myth first arose. 99 00:06:13,560 --> 00:06:16,040 Speaker 2: There are suggestions that the vampire was born out of 100 00:06:16,120 --> 00:06:19,600 Speaker 2: sorcery and ancient Egypt, a demon summoned into this world 101 00:06:19,640 --> 00:06:21,040 Speaker 2: from some other. 102 00:06:22,080 --> 00:06:26,720 Speaker 1: Right other being, some other playing some other dimension. In 103 00:06:26,880 --> 00:06:33,479 Speaker 1: earlier episodes, we explored the possible origins of the vampire myth, 104 00:06:34,520 --> 00:06:38,240 Speaker 1: by which we mean the possible real world seeds of 105 00:06:38,360 --> 00:06:44,240 Speaker 1: truth that later grew into this agglomeration of folklore. And 106 00:06:44,800 --> 00:06:50,479 Speaker 1: this includes proposed causes such as premature burial, which was 107 00:06:50,560 --> 00:06:56,360 Speaker 1: horrifically common for a very very long time, also conditions 108 00:06:56,400 --> 00:07:00,960 Speaker 1: medical conditions like porphyria or dementia and so on. And 109 00:07:01,160 --> 00:07:05,040 Speaker 1: you can again find those episodes, both video and audio 110 00:07:05,160 --> 00:07:06,960 Speaker 1: at our website. Stuff they don't want you to know 111 00:07:07,120 --> 00:07:10,200 Speaker 1: dot com on what you're using to listen to this, 112 00:07:10,360 --> 00:07:13,440 Speaker 1: oh yes, or on whatever feed you prefer. We should 113 00:07:13,520 --> 00:07:15,600 Speaker 1: be out there and tell us if you can't find 114 00:07:15,680 --> 00:07:19,200 Speaker 1: us on your preferred feed. But today we are asking 115 00:07:19,240 --> 00:07:24,320 Speaker 1: a more topical question. We're not asking whether something like 116 00:07:24,680 --> 00:07:27,600 Speaker 1: a vampire ever existed, or even if something like a 117 00:07:27,680 --> 00:07:31,400 Speaker 1: vampire currently exists. Instead, we're asking whether it is possible 118 00:07:31,480 --> 00:07:36,800 Speaker 1: to create vampires or something like them. Not characters in fiction, 119 00:07:37,280 --> 00:07:40,360 Speaker 1: friends and neighbors and you're monsters on the silver screen. 120 00:07:40,600 --> 00:07:45,240 Speaker 1: We're talking about real life vampires. 121 00:07:44,920 --> 00:07:50,080 Speaker 2: Again, someone something that exists on the blood of others. 122 00:07:50,600 --> 00:07:54,760 Speaker 2: And this concept of vampirism has become so prevalent in 123 00:07:54,840 --> 00:07:57,880 Speaker 2: our worlds nowadays it's been used as an insult. You 124 00:07:58,160 --> 00:08:01,560 Speaker 2: vampire can get out in the light, you vampire or 125 00:08:01,920 --> 00:08:04,160 Speaker 2: a piece of a probrium to heap him upon all 126 00:08:04,240 --> 00:08:11,120 Speaker 2: kinds of let's say, all two human rosters, right, yeah, you'll. 127 00:08:11,000 --> 00:08:16,240 Speaker 1: Hear a probrium is a word for reproacher or insult. 128 00:08:18,200 --> 00:08:22,480 Speaker 1: You'll hear this used to refer to certain serial killers 129 00:08:22,720 --> 00:08:25,560 Speaker 1: in the past, you know, the vampire of so and so. 130 00:08:26,000 --> 00:08:33,080 Speaker 1: And you'll also, of course hear it used to describe 131 00:08:33,440 --> 00:08:37,800 Speaker 1: a lot of ancient aristocrats. Of course. The legendary Lad 132 00:08:37,840 --> 00:08:42,920 Speaker 1: Tepesh is often cited as the inspiration for ram Stoker's Dracula, 133 00:08:43,040 --> 00:08:46,280 Speaker 1: and he was a prince of a place called Wallachia 134 00:08:46,960 --> 00:08:51,040 Speaker 1: three different times between fourteen forty eight and his death. 135 00:08:51,400 --> 00:08:54,960 Speaker 1: He was the second son of someone named Vlad Dracoul 136 00:08:55,440 --> 00:08:58,240 Speaker 1: or Vlad the Dragon, who was the ruler of Wallachia 137 00:08:58,280 --> 00:09:02,000 Speaker 1: in fourteen thirty six. Lewis father was known as Dracula 138 00:09:02,120 --> 00:09:05,959 Speaker 1: the Dragon. He flat Tepesh, Lad the Third, was the 139 00:09:05,960 --> 00:09:08,600 Speaker 1: more notorious of the two. He was known as the 140 00:09:08,640 --> 00:09:12,280 Speaker 1: Impaler for his habit of impaling his enemies, rivals, or 141 00:09:12,720 --> 00:09:14,880 Speaker 1: just people who caught him on the wrong side of 142 00:09:15,000 --> 00:09:18,000 Speaker 1: bed in the morning. He'd have these large wooden stakes 143 00:09:18,000 --> 00:09:23,079 Speaker 1: erected and then graphic warning. Here he would have their 144 00:09:23,160 --> 00:09:26,800 Speaker 1: bodies forced on the stakes, the stakes going through their 145 00:09:26,840 --> 00:09:30,640 Speaker 1: anuses and impaling him that way. He was also infamous 146 00:09:30,679 --> 00:09:34,120 Speaker 1: for casually dining as he watched these people die a 147 00:09:34,240 --> 00:09:37,319 Speaker 1: very slow, grisly painful death. 148 00:09:37,559 --> 00:09:41,640 Speaker 2: So in a way he did get by through the 149 00:09:41,679 --> 00:09:44,640 Speaker 2: blood of others, in a very dark way. 150 00:09:45,200 --> 00:09:50,520 Speaker 1: Sure, yeah, and in a experiential rather than a physiological 151 00:09:50,600 --> 00:09:54,319 Speaker 1: way perhaps, which is I don't know, that's a dangerous 152 00:09:54,320 --> 00:09:59,760 Speaker 1: comparison because if we engage in that comparison, we get 153 00:09:59,840 --> 00:10:04,120 Speaker 1: to slippery slope where we could argue that all warlords 154 00:10:04,920 --> 00:10:08,840 Speaker 1: or even politicians who are in charge of militaries subsist 155 00:10:08,920 --> 00:10:10,640 Speaker 1: to a degree on the blood of others. 156 00:10:10,679 --> 00:10:12,320 Speaker 2: I don't think that slope is that slippery. 157 00:10:12,840 --> 00:10:17,079 Speaker 1: I think we might already have slipped. There's another example, 158 00:10:17,120 --> 00:10:21,760 Speaker 1: which is Elizabeth Bathri or Erzbett Bathory, the noble woman 159 00:10:21,880 --> 00:10:25,079 Speaker 1: who is based in what is now known as Slovakia. 160 00:10:25,400 --> 00:10:28,240 Speaker 1: In the sixteen hundred, she was arrested and accused of 161 00:10:28,480 --> 00:10:32,640 Speaker 1: numerous macab crimes. We have just a few examples of 162 00:10:32,679 --> 00:10:33,840 Speaker 1: those alleged crimes. 163 00:10:33,960 --> 00:10:36,600 Speaker 2: Yeah, she would keep her well. Allegedly, she would keep 164 00:10:36,600 --> 00:10:39,600 Speaker 2: her servants chained up every night, so their hands were 165 00:10:39,640 --> 00:10:43,520 Speaker 2: just so tightly bound that they would turn blue and 166 00:10:43,600 --> 00:10:48,640 Speaker 2: sometimes even squirt blood out of them. She used to 167 00:10:49,080 --> 00:10:50,840 Speaker 2: beat her servants to the point that there was so 168 00:10:50,960 --> 00:10:53,160 Speaker 2: much blood all over the place, on the walls, on 169 00:10:53,200 --> 00:10:55,920 Speaker 2: the beds, they had to use ashes and cinders to 170 00:10:56,040 --> 00:10:58,920 Speaker 2: soak it all up and scrub it all away. She 171 00:10:58,960 --> 00:11:02,880 Speaker 2: even burned her sir with metal sticks allegedly red hot 172 00:11:02,960 --> 00:11:06,280 Speaker 2: keys and coins. She ironed the soles of their feet 173 00:11:06,760 --> 00:11:11,040 Speaker 2: and even stuck burning rods into their vaginas. 174 00:11:11,720 --> 00:11:14,520 Speaker 1: Yes, and she didn't stop there with stabbing. She also 175 00:11:14,679 --> 00:11:18,360 Speaker 1: pricked them in their mouths and fingernails with needles, cut 176 00:11:18,400 --> 00:11:24,079 Speaker 1: their hands, lips and noses, shoes, knives, needles, candles, occasionally 177 00:11:24,080 --> 00:11:27,640 Speaker 1: her own teeth to lacerate the genitals of servants, stitch 178 00:11:27,720 --> 00:11:32,080 Speaker 1: their lips and tongues together, made them sit on stinging nettles, 179 00:11:32,120 --> 00:11:36,120 Speaker 1: bathe with the nettles, force them to cook and eat 180 00:11:36,160 --> 00:11:39,360 Speaker 1: their own flesh, or make sausages from it and serve 181 00:11:39,400 --> 00:11:43,199 Speaker 1: it to the guests. She was accused of practicing dark magic, 182 00:11:43,520 --> 00:11:48,600 Speaker 1: baking magical poisonous cakes in order to kill rival politicians 183 00:11:48,679 --> 00:11:52,240 Speaker 1: such as George Thurzo, who was later one of the 184 00:11:52,240 --> 00:11:56,960 Speaker 1: guys who arrested her, was also she would cast magic 185 00:11:57,000 --> 00:11:59,880 Speaker 1: spells to summon clouds filled with angry cats. 186 00:12:00,280 --> 00:12:00,679 Speaker 2: Huh. 187 00:12:00,840 --> 00:12:04,600 Speaker 1: Most famously the most infamously, rather, she was believed to 188 00:12:04,640 --> 00:12:09,320 Speaker 1: have bled young servant girls dry, and after exsanguinating their 189 00:12:09,360 --> 00:12:12,760 Speaker 1: bodies or training all the blood from them, bathing in 190 00:12:13,200 --> 00:12:14,240 Speaker 1: that blood. 191 00:12:14,720 --> 00:12:18,760 Speaker 2: Yes, and that's probably where you've most likely heard a 192 00:12:18,800 --> 00:12:23,360 Speaker 2: lot of these stories where she is the she's a 193 00:12:23,400 --> 00:12:27,520 Speaker 2: whole other archetype in a way of things beyond a vampire, 194 00:12:27,559 --> 00:12:29,440 Speaker 2: just having to do with bathing in the blood. 195 00:12:30,040 --> 00:12:35,960 Speaker 1: Right, and this was characterized as part of a right 196 00:12:36,320 --> 00:12:42,760 Speaker 1: or a ritual that would lengthen her lifespan and rejuvenate 197 00:12:42,840 --> 00:12:48,360 Speaker 1: her history has to a degree exonerated Bathory of some 198 00:12:48,480 --> 00:12:54,240 Speaker 1: of these accusations. At the time of the trial, over 199 00:12:54,320 --> 00:12:58,959 Speaker 1: three hundred individuals testified against her for one thing or another, 200 00:12:59,600 --> 00:13:05,320 Speaker 1: and her servants were put to Four of her servants 201 00:13:05,320 --> 00:13:11,280 Speaker 1: were put to gruesome ends, but given the influence that 202 00:13:11,559 --> 00:13:14,880 Speaker 1: she had in society at the time, she was not killed. 203 00:13:15,360 --> 00:13:19,480 Speaker 1: She was immured I M m U r ed, which 204 00:13:19,520 --> 00:13:24,800 Speaker 1: means they grounded her for the rest of her life. Essentially, 205 00:13:24,840 --> 00:13:27,319 Speaker 1: they put her in a windowless room, she was supplied 206 00:13:27,360 --> 00:13:30,520 Speaker 1: with food and water, and she was left there to die. 207 00:13:30,760 --> 00:13:34,959 Speaker 1: But it looks like it looks like there's some problems 208 00:13:34,960 --> 00:13:38,439 Speaker 1: with the claims. Most immediately, the whole idea of bathing 209 00:13:38,640 --> 00:13:46,440 Speaker 1: in virgin blood. First, that idea came about centuries after 210 00:13:46,800 --> 00:13:51,120 Speaker 1: her death. Someone added that to the story to the 211 00:13:51,160 --> 00:13:51,960 Speaker 1: campfire tail. 212 00:13:52,280 --> 00:13:53,079 Speaker 2: That's an issue. 213 00:13:53,400 --> 00:13:56,760 Speaker 1: It doesn't mean that she didn't do horrible things, just 214 00:13:56,800 --> 00:14:04,479 Speaker 1: means that came along much later. Also, from a scientific perspective, 215 00:14:04,800 --> 00:14:08,200 Speaker 1: it's most likely impossible for her to quote bathe and 216 00:14:08,320 --> 00:14:15,040 Speaker 1: virgin blood due to coagulation. How would you keep the 217 00:14:15,040 --> 00:14:18,840 Speaker 1: blood liquid long enough were there to be an entire 218 00:14:19,120 --> 00:14:20,000 Speaker 1: tub of it? 219 00:14:20,840 --> 00:14:24,680 Speaker 2: Interesting, I guess it would be in the how you 220 00:14:24,720 --> 00:14:25,560 Speaker 2: got the blood. 221 00:14:25,280 --> 00:14:28,840 Speaker 1: Out right right and ambient temperature and so on. Yeah, 222 00:14:28,880 --> 00:14:33,120 Speaker 1: so god, yeah, we're getting grizzly pretty quickly in this one. 223 00:14:33,480 --> 00:14:39,040 Speaker 1: So it's also possible that Bathory was targeted by the 224 00:14:39,080 --> 00:14:44,720 Speaker 1: male dominated establishment at the time because vilification or demonization 225 00:14:44,840 --> 00:14:47,280 Speaker 1: of women was a common way of removing them from 226 00:14:47,320 --> 00:14:51,040 Speaker 1: the political chessboard. This happened in witch hunts, you know 227 00:14:51,800 --> 00:14:58,760 Speaker 1: a lot of times. One thing that escapes. Historical explanations 228 00:14:58,960 --> 00:15:04,760 Speaker 1: of the witch hunt phenomenon is the following in certain 229 00:15:04,840 --> 00:15:08,560 Speaker 1: practices in the inquisition, in certain non inquisition which hunts 230 00:15:08,960 --> 00:15:12,280 Speaker 1: the accuser, the person who put the witch to trial, 231 00:15:12,720 --> 00:15:15,800 Speaker 1: who is almost always convicted in one way or the other, 232 00:15:16,600 --> 00:15:22,160 Speaker 1: they would receive the wealth of the estate, so they 233 00:15:22,160 --> 00:15:28,240 Speaker 1: were not objective in their accusations. They were incentivized or incented, 234 00:15:28,280 --> 00:15:32,200 Speaker 1: whichever word you prefer, to arrive at a guilty verdict. 235 00:15:32,440 --> 00:15:35,400 Speaker 1: So it's quite possible that this was a political hit. 236 00:15:36,520 --> 00:15:41,520 Speaker 1: But we say all this because whether or not the 237 00:15:41,600 --> 00:15:44,240 Speaker 1: legend is whether or not the legend is true, it 238 00:15:44,320 --> 00:15:47,160 Speaker 1: is something iconic. It is an image that is stayed 239 00:15:47,520 --> 00:15:52,920 Speaker 1: with us, you me, probably everyone you know has heard 240 00:15:53,000 --> 00:15:58,080 Speaker 1: of these grizzly stories about the elites of the world 241 00:15:58,560 --> 00:16:05,000 Speaker 1: subsisting on the blood of the innocent and typically the oppressed. 242 00:16:05,480 --> 00:16:09,640 Speaker 2: Yeah, I mean metaphorically, there's no bones about it. It 243 00:16:09,760 --> 00:16:12,760 Speaker 2: kind of is true metaphorically. 244 00:16:12,480 --> 00:16:16,720 Speaker 1: Right, right, And so the question literally, then our conclusion becomes, 245 00:16:18,040 --> 00:16:22,360 Speaker 1: that's it, right. Vampirism is largely a myth. 246 00:16:23,080 --> 00:16:24,160 Speaker 2: And allegory of sorts. 247 00:16:24,720 --> 00:16:33,160 Speaker 1: Right, Here's where it gets crazy. 248 00:16:33,480 --> 00:16:37,080 Speaker 2: There may be more to this whole blood and vampirism 249 00:16:37,240 --> 00:16:41,960 Speaker 2: thing than we had initially believed, or at least some 250 00:16:42,040 --> 00:16:42,880 Speaker 2: aspect of it. 251 00:16:44,080 --> 00:16:48,520 Speaker 1: Yeah, for decades, it turns out, scientists have been experimenting 252 00:16:48,600 --> 00:16:54,080 Speaker 1: with the idea of transfusing blood from younger organisms to 253 00:16:54,440 --> 00:16:55,800 Speaker 1: older organisms. 254 00:16:56,120 --> 00:16:59,560 Speaker 2: Yeah, what happens when we put this young blood in here? 255 00:17:01,760 --> 00:17:04,760 Speaker 1: Yes, exactly, that's a part of the evil. 256 00:17:04,800 --> 00:17:05,000 Speaker 2: Laugh. 257 00:17:05,040 --> 00:17:06,800 Speaker 1: I didn't mean it sounds sinister. 258 00:17:06,520 --> 00:17:06,600 Speaker 2: But. 259 00:17:08,280 --> 00:17:11,600 Speaker 1: It's It's true. And you have to wonder sometimes how 260 00:17:11,720 --> 00:17:16,520 Speaker 1: much of this research starts from an informed place, and 261 00:17:16,560 --> 00:17:20,240 Speaker 1: how much of it starts with someone going, you know 262 00:17:20,320 --> 00:17:26,359 Speaker 1: what I wonder? I wonder hear me out, guys. I 263 00:17:26,400 --> 00:17:29,280 Speaker 1: have this picture of I have this picture of you 264 00:17:29,600 --> 00:17:33,840 Speaker 1: and Paul and Matt Nol and I listeners. I have 265 00:17:33,880 --> 00:17:36,679 Speaker 1: this picture of us all sitting around the table and saying, 266 00:17:36,840 --> 00:17:40,160 Speaker 1: what will our next experiment be? And then someone like 267 00:17:40,200 --> 00:17:45,320 Speaker 1: you just did, Matt goes, Uh, guys, hear me out. 268 00:17:46,200 --> 00:17:49,000 Speaker 1: We have a lot of mice. Yeah, and that's where 269 00:17:49,000 --> 00:17:54,400 Speaker 1: they started. Uh. They scientists began transfusing blood from young 270 00:17:54,440 --> 00:17:58,600 Speaker 1: mice into the bodies of old mice. And as it 271 00:17:58,640 --> 00:18:00,800 Speaker 1: turned out, this was not just some weird thing for 272 00:18:00,840 --> 00:18:02,040 Speaker 1: math scientists to do. 273 00:18:02,320 --> 00:18:03,360 Speaker 2: For kicks. 274 00:18:03,600 --> 00:18:07,000 Speaker 1: It all goes back to something called parabiosis. 275 00:18:07,320 --> 00:18:09,480 Speaker 2: Yeah. This is one hundred and fifty year old surgical 276 00:18:09,520 --> 00:18:13,639 Speaker 2: technique that unites the vasculature of the veins and the arteries, 277 00:18:13,680 --> 00:18:16,920 Speaker 2: the blood systems essentially of two living animals. And the 278 00:18:16,960 --> 00:18:20,159 Speaker 2: word actually comes from the Greek para, meaning alongside in 279 00:18:20,240 --> 00:18:23,600 Speaker 2: bios life. So you have two organisms that you've essentially 280 00:18:24,080 --> 00:18:25,800 Speaker 2: created conjoined twins out. 281 00:18:25,640 --> 00:18:29,840 Speaker 1: Of Yeah, yeah, exactly. We're animals that share a placenta 282 00:18:29,920 --> 00:18:34,760 Speaker 1: in a womb. This, Yeah, parabiosis does occur in nature, 283 00:18:35,400 --> 00:18:38,760 Speaker 1: as with the example that Matt's sided can join twins 284 00:18:38,760 --> 00:18:45,320 Speaker 1: would probably be the most well known example. But we 285 00:18:45,320 --> 00:18:47,520 Speaker 1: we be in the human species, learned that we could 286 00:18:47,560 --> 00:18:53,560 Speaker 1: do this artificially. And here's the huge plot twist, not 287 00:18:53,840 --> 00:18:58,800 Speaker 1: always automatically killing the living things we stitched together. Yeah, 288 00:18:58,960 --> 00:19:04,560 Speaker 1: human centipede staff, Well, not quite right, right, Sorry, you're right, 289 00:19:04,600 --> 00:19:07,000 Speaker 1: you're right, Matt, they're. 290 00:19:06,800 --> 00:19:09,120 Speaker 2: Not that's a digestive system or. 291 00:19:09,240 --> 00:19:12,680 Speaker 1: Right, that's exactly right. No, this would just be circulatory 292 00:19:12,760 --> 00:19:16,639 Speaker 1: system and a lot less gross, but still gross. In 293 00:19:16,720 --> 00:19:22,880 Speaker 1: the lab, you see, parabiosis gives experts a tremendously rare 294 00:19:22,920 --> 00:19:27,159 Speaker 1: opportunity to test what factors in the blood in the 295 00:19:27,200 --> 00:19:32,440 Speaker 1: circulatory system of one animal do when they enter another animal. 296 00:19:32,200 --> 00:19:34,240 Speaker 2: A question I've always asked myself. 297 00:19:34,160 --> 00:19:36,280 Speaker 1: I know, sometimes out loud during meetings. 298 00:19:36,359 --> 00:19:38,960 Speaker 2: Yeah, what happens if my blood was your blood and 299 00:19:39,000 --> 00:19:40,199 Speaker 2: your blood was my blood? 300 00:19:40,520 --> 00:19:42,760 Speaker 1: You know people can hear you when you do that, right? 301 00:19:42,840 --> 00:19:43,399 Speaker 2: Oh? Really? 302 00:19:43,800 --> 00:19:48,160 Speaker 1: Yes? Oh yes, that's why Noel's not here for this episode. 303 00:19:50,320 --> 00:19:53,200 Speaker 1: I think maybe you should just get a creative outlet, 304 00:19:53,280 --> 00:19:56,840 Speaker 1: like write poetry or essays. 305 00:19:57,040 --> 00:19:58,800 Speaker 2: Yeah, I'm going to pick up a guitar, I think. 306 00:19:58,720 --> 00:20:03,639 Speaker 1: Yeah, I get into some dark metal. Yeah, and you 307 00:20:03,800 --> 00:20:10,680 Speaker 1: could create dark power ballads about these experiments. Because experiments 308 00:20:10,720 --> 00:20:13,919 Speaker 1: with these rodent pairs, whether rats or mice or what 309 00:20:14,040 --> 00:20:18,360 Speaker 1: have you, have led to immensely important breakthroughs in indo chronology, 310 00:20:18,680 --> 00:20:23,399 Speaker 1: tumor biology, immunology, and so on. But here's a curious thing, Matt. 311 00:20:23,560 --> 00:20:27,160 Speaker 1: Most of those discoveries occurred more than thirty five years ago. 312 00:20:27,960 --> 00:20:31,840 Speaker 1: The technique, for some unknown reason, fell out of favor 313 00:20:31,840 --> 00:20:33,200 Speaker 1: in the nineteen seventies, and. 314 00:20:33,600 --> 00:20:34,439 Speaker 2: That's so weird. 315 00:20:34,560 --> 00:20:36,120 Speaker 1: Well, we did a lot of digging, and we still 316 00:20:36,160 --> 00:20:39,640 Speaker 1: can't We still can't find out what happened in the seventies. 317 00:20:39,680 --> 00:20:43,439 Speaker 2: Yeah, I think most of it is just the EWW factor. 318 00:20:45,000 --> 00:20:45,840 Speaker 2: I'm pretty sure. 319 00:20:46,680 --> 00:20:50,280 Speaker 1: In the past few years, however, a couple of laps 320 00:20:50,640 --> 00:20:58,359 Speaker 1: relatively small number, have revived the practice of artificial parabiosis, 321 00:20:58,760 --> 00:21:02,639 Speaker 1: especially in the field of age research or aging, because 322 00:21:02,680 --> 00:21:05,600 Speaker 1: it turns out that by joining the circulatory system of 323 00:21:05,640 --> 00:21:08,840 Speaker 1: an old mouse to that of a young mouse, scientists 324 00:21:08,920 --> 00:21:12,119 Speaker 1: can produce some remarkable things, which already just sounds so 325 00:21:13,000 --> 00:21:16,760 Speaker 1: problematic and spooky to me. But what do they find? 326 00:21:17,119 --> 00:21:21,440 Speaker 2: Well in the hot brain muscles, in almost every other 327 00:21:21,640 --> 00:21:25,520 Speaker 2: tissue examined, the blood of young mice seems to bring 328 00:21:25,680 --> 00:21:33,000 Speaker 2: new life into aging organs, making own mice stronger, smarter, 329 00:21:33,240 --> 00:21:36,119 Speaker 2: and healthier. Yeah. 330 00:21:36,600 --> 00:21:39,640 Speaker 1: Yeah, I mean even without the voice that's troubling. 331 00:21:40,000 --> 00:21:43,520 Speaker 2: It does good things to the old mice. 332 00:21:43,520 --> 00:21:46,760 Speaker 1: Right, and it even makes their fur shinier. 333 00:21:46,880 --> 00:21:47,960 Speaker 2: Oh man, I'm sold now. 334 00:21:49,440 --> 00:21:54,280 Speaker 1: Now, these labs have begun to identify the components in 335 00:21:54,320 --> 00:21:58,760 Speaker 1: this quote unquote young blood that are responsible for these changes. 336 00:21:59,040 --> 00:22:03,640 Speaker 1: Nice exact ample. A biochemist and gerontologist named Clive McKay, 337 00:22:04,000 --> 00:22:07,520 Speaker 1: based in Cornell University up there in Mythica, New York, 338 00:22:07,920 --> 00:22:11,800 Speaker 1: was the first individual to apply PERO biosis to the 339 00:22:11,920 --> 00:22:15,640 Speaker 1: study of aging. In nineteen fifty six, he and his 340 00:22:15,800 --> 00:22:20,360 Speaker 1: team joined sixty nine pairs of rats together in Pero biosies. 341 00:22:20,440 --> 00:22:24,480 Speaker 1: They stitched them up together so that their circulatory systems 342 00:22:24,840 --> 00:22:30,240 Speaker 1: were in contact, forming a larger circuit, and the linked 343 00:22:30,320 --> 00:22:34,560 Speaker 1: rats included, you know, they all had those differing age ranges. 344 00:22:34,640 --> 00:22:38,920 Speaker 1: So one pair was made up of a sixteen month 345 00:22:38,960 --> 00:22:41,800 Speaker 1: old rat and a one point five month old rat. 346 00:22:42,200 --> 00:22:45,800 Speaker 1: In human terms, that's the same thing as sowing a 347 00:22:45,920 --> 00:22:49,960 Speaker 1: forty seven year old person to a five year old child. 348 00:22:50,040 --> 00:22:54,359 Speaker 2: And here's the deal. When you attach a forty seven 349 00:22:54,440 --> 00:22:58,080 Speaker 2: year old through the circulatory system to a five year 350 00:22:58,080 --> 00:23:01,439 Speaker 2: old sometimes it always doesn't go well well from a 351 00:23:01,440 --> 00:23:06,880 Speaker 2: psychology standpoint of the rats. So here's a quote from 352 00:23:07,080 --> 00:23:10,879 Speaker 2: the authors who worked on this study. If two rats 353 00:23:10,880 --> 00:23:13,480 Speaker 2: are not adjusted to each other, one will chew the 354 00:23:13,520 --> 00:23:15,800 Speaker 2: head of the other until it is destroyed. 355 00:23:17,160 --> 00:23:22,800 Speaker 1: Yeah, that's a quotation from the author's description of their work. 356 00:23:23,240 --> 00:23:29,960 Speaker 1: Of this was a pretty experiment because rats are highly 357 00:23:30,000 --> 00:23:35,280 Speaker 1: intelligent animals, right, and obviously smart enough to know that 358 00:23:35,640 --> 00:23:40,320 Speaker 1: something is not normal if they are stitched up to 359 00:23:40,640 --> 00:23:46,679 Speaker 1: another individual, especially if they are not acclimated to that individual. Yeah, 360 00:23:46,760 --> 00:23:49,200 Speaker 1: if you woke up and you were sewn to a stranger, 361 00:23:49,880 --> 00:23:53,720 Speaker 1: you would have some questions, some concerns. You probably would 362 00:23:53,720 --> 00:23:58,359 Speaker 1: not be chill about it. So they also found that 363 00:23:59,080 --> 00:24:02,720 Speaker 1: there was a trumble bling phenomenon they couldn't explain at 364 00:24:02,720 --> 00:24:05,760 Speaker 1: the time. Back in the fifties. Of the sixty nine 365 00:24:05,920 --> 00:24:10,240 Speaker 1: rodents that they paired together, eleven pairs died from a 366 00:24:10,280 --> 00:24:15,360 Speaker 1: mysterious condition they called parabiotic disease that occurred. This occurred 367 00:24:15,920 --> 00:24:18,640 Speaker 1: about one to two weeks after the partners were joined, 368 00:24:19,040 --> 00:24:24,280 Speaker 1: and it was probably a form of tissue rejection. You're 369 00:24:24,720 --> 00:24:27,880 Speaker 1: one body going, what the heck is this? 370 00:24:28,160 --> 00:24:31,600 Speaker 2: Yeah, absolutely well, because in this case you are transferring 371 00:24:31,680 --> 00:24:35,000 Speaker 2: all of the blood. You're not taking out a component 372 00:24:35,080 --> 00:24:36,920 Speaker 2: of the blood as we're going to see maybe in 373 00:24:36,960 --> 00:24:39,960 Speaker 2: the future. Here as we're moving on, you're getting everything. 374 00:24:40,200 --> 00:24:44,120 Speaker 1: Excellent point. This is not a transfusion. This is the 375 00:24:45,680 --> 00:24:50,080 Speaker 1: This is compiling or mixtaping to separate circulatory systems. 376 00:24:51,119 --> 00:24:55,600 Speaker 2: So, in McKay's first parabiotic aging experiment, after the old 377 00:24:55,600 --> 00:24:58,679 Speaker 2: and young recks were joined from anywhere from nine months 378 00:24:58,720 --> 00:25:02,600 Speaker 2: to eighteen months, they found in you know, the one 379 00:25:02,720 --> 00:25:05,879 Speaker 2: positive thing that seemed to come out of this. The 380 00:25:05,960 --> 00:25:09,199 Speaker 2: older animal's bones became similar in weight and density to 381 00:25:09,240 --> 00:25:11,840 Speaker 2: the bones of the younger counterparts that they were attached to. 382 00:25:12,200 --> 00:25:14,399 Speaker 2: So it did seem like there is something going on 383 00:25:14,600 --> 00:25:17,679 Speaker 2: here in at least most in this case of the 384 00:25:17,680 --> 00:25:21,439 Speaker 2: cases of the pairs, some kind of beneficial thing for 385 00:25:21,480 --> 00:25:24,800 Speaker 2: the older rats, not necessarily for the younger rats. There's 386 00:25:24,840 --> 00:25:27,080 Speaker 2: not really much of a benefit at all. 387 00:25:28,000 --> 00:25:30,679 Speaker 1: No, it doesn't. It doesn't seem like there is, because 388 00:25:31,880 --> 00:25:36,320 Speaker 1: it's not as if the young rats somehow gain the 389 00:25:36,440 --> 00:25:40,119 Speaker 1: wisdom and experience, right. What seems to happen in the 390 00:25:40,160 --> 00:25:45,600 Speaker 1: ideal case is that they enter into a type of 391 00:25:46,960 --> 00:25:53,520 Speaker 1: symbiosis called commensalism. There are three types of symbiosis. Symbiosis 392 00:25:53,600 --> 00:25:57,040 Speaker 1: just means a close relationship between two or more species, right. 393 00:25:57,600 --> 00:26:03,800 Speaker 1: The three types are mutualism, where both both parties benefit 394 00:26:03,880 --> 00:26:07,679 Speaker 1: or all parties benefit, parasitism where one benefits at the 395 00:26:07,720 --> 00:26:12,560 Speaker 1: expense of the other, and commensalism, where one species benefits 396 00:26:12,800 --> 00:26:18,560 Speaker 1: somehow and the other species is neither harmed nor helped. Arguably, 397 00:26:19,000 --> 00:26:23,560 Speaker 1: this is on the line between commensalism and parasitism, because 398 00:26:25,760 --> 00:26:30,720 Speaker 1: while the younger animal is not necessarily being directly harmed. 399 00:26:31,160 --> 00:26:34,640 Speaker 1: Its life is going to be hindered. Yeah, because it's 400 00:26:34,720 --> 00:26:35,000 Speaker 1: you know. 401 00:26:35,320 --> 00:26:38,439 Speaker 2: Attached to this forty seven year old mouse. It's like 402 00:26:38,960 --> 00:26:43,040 Speaker 2: six months, well year old mouse. Your music is just 403 00:26:43,119 --> 00:26:45,400 Speaker 2: really I don't understand it. I don't know why we're 404 00:26:45,400 --> 00:26:47,840 Speaker 2: watching this on TV. Let's watch Soldies. 405 00:26:48,160 --> 00:26:50,880 Speaker 1: So let's fast forward. Yeah, let's get through the seventies, 406 00:26:50,880 --> 00:26:56,439 Speaker 1: where again this research mysteriously fell out of favor. A 407 00:26:56,480 --> 00:27:00,720 Speaker 1: few years back, a team of researchers Amy Wager, Irena 408 00:27:00,760 --> 00:27:05,159 Speaker 1: and Michael Convoy and Thomas Rando partnered up. They've vultroned 409 00:27:05,240 --> 00:27:08,439 Speaker 1: up to take their separate areas of research in this 410 00:27:08,560 --> 00:27:14,000 Speaker 1: field and combine them to investigate the phenomenon. Specifically, this 411 00:27:14,040 --> 00:27:17,040 Speaker 1: group wanted to address a problem with the study of 412 00:27:17,160 --> 00:27:21,600 Speaker 1: agent with gerontology as a whole. And here's where we 413 00:27:21,640 --> 00:27:28,600 Speaker 1: are now. It seems as if aging itself is a 414 00:27:28,720 --> 00:27:37,160 Speaker 1: body wide effect, right nor your body tends to break 415 00:27:37,240 --> 00:27:41,120 Speaker 1: down sort of. At the same time, there are environmental 416 00:27:41,160 --> 00:27:45,480 Speaker 1: things that can that can affect you. For instance, you 417 00:27:45,520 --> 00:27:49,720 Speaker 1: will take more damage depending on how you treat yourself 418 00:27:49,760 --> 00:27:52,199 Speaker 1: if you do if you are an athlete and you 419 00:27:52,240 --> 00:27:55,520 Speaker 1: have a lot of repetitive exercises, right, then you may 420 00:27:55,560 --> 00:27:59,480 Speaker 1: have concussions, or you may have joint problems that might 421 00:27:59,800 --> 00:28:01,760 Speaker 1: not have appeared in the same way. 422 00:28:01,920 --> 00:28:04,080 Speaker 2: Yeah, even if you're just walking around all the time, 423 00:28:04,160 --> 00:28:06,560 Speaker 2: your joints in your knees aren't going to be the 424 00:28:06,560 --> 00:28:10,119 Speaker 2: same as perhaps the joints in your shoulder if you 425 00:28:10,240 --> 00:28:12,359 Speaker 2: aren't very active with your shoulder. Agreed. 426 00:28:12,440 --> 00:28:19,040 Speaker 1: Yeah, yeah, good point. And the problem is that they 427 00:28:19,119 --> 00:28:22,160 Speaker 1: wanted to They wanted to see if they could determine 428 00:28:22,520 --> 00:28:27,840 Speaker 1: what coordinates the aging process. In the words of Rando, 429 00:28:28,240 --> 00:28:30,440 Speaker 1: why does everything in your body go to hell in 430 00:28:30,480 --> 00:28:33,600 Speaker 1: a hand basket at once? Why does this affect multiple 431 00:28:33,680 --> 00:28:39,480 Speaker 1: parts of the body simultaneously. So they tried these experiments again, 432 00:28:39,920 --> 00:28:44,000 Speaker 1: and they took some lessons learned from the earlier experiments 433 00:28:44,000 --> 00:28:46,840 Speaker 1: in the fifties, So they made sure the mice or 434 00:28:46,840 --> 00:28:50,160 Speaker 1: the rodents knew each other before they sewed them together. 435 00:28:50,960 --> 00:28:51,400 Speaker 2: Wow. 436 00:28:51,480 --> 00:28:54,080 Speaker 1: And Thomas Rando says that he did not expect the 437 00:28:54,160 --> 00:28:59,160 Speaker 1: experiment to work, but it did within five weeks. He said, 438 00:28:59,200 --> 00:29:02,640 Speaker 1: the young blood restored muscle and liver cells in the 439 00:29:02,680 --> 00:29:06,840 Speaker 1: older mice, notably by causing aged stem cells to start 440 00:29:06,880 --> 00:29:10,400 Speaker 1: dividing again. They also found that young blood resulted in 441 00:29:10,560 --> 00:29:14,760 Speaker 1: enhanced growth of brain cells in old mice, although that 442 00:29:14,880 --> 00:29:17,000 Speaker 1: work was left out of their two thousand and five 443 00:29:17,080 --> 00:29:21,560 Speaker 1: paper that described the results. All in all, the results 444 00:29:21,600 --> 00:29:28,960 Speaker 1: suggested that blood was the medium of transportation for whatever 445 00:29:29,080 --> 00:29:32,880 Speaker 1: the mystery factor or factor was that coordinated aging in 446 00:29:32,960 --> 00:29:36,600 Speaker 1: different tissues, which makes sense because blood is a very 447 00:29:36,760 --> 00:29:40,480 Speaker 1: well traveled substance in the human body. In two thousand 448 00:29:40,480 --> 00:29:45,800 Speaker 1: and eight, the convoys uh Irena and Michael linked muscle 449 00:29:45,880 --> 00:29:49,840 Speaker 1: rejuvenation to the activation of something called notch signaling, which 450 00:29:49,880 --> 00:29:55,840 Speaker 1: promotes cell division, or, to be more technically accurate, it's 451 00:29:56,000 --> 00:30:01,560 Speaker 1: the muscle rejuvenation is dependent upon the de activation of 452 00:30:01,600 --> 00:30:06,440 Speaker 1: the transforming growth factor pathway. That's what blocks cell division. 453 00:30:07,520 --> 00:30:11,120 Speaker 1: In twenty fourteen, the group identified one of the age 454 00:30:11,160 --> 00:30:13,959 Speaker 1: defying factors circulating in the blood. 455 00:30:14,320 --> 00:30:16,560 Speaker 2: Oh yeah, it's oxytocin. It's a hormone is best known 456 00:30:16,640 --> 00:30:20,160 Speaker 2: for its involvement in childbirth and bonding. We've discussed that 457 00:30:20,200 --> 00:30:20,960 Speaker 2: several times in. 458 00:30:20,920 --> 00:30:24,120 Speaker 1: Our how your Brain Betrays you when You're in love. 459 00:30:24,280 --> 00:30:26,440 Speaker 1: Yeah exactly, I did not mean to sound that bit. 460 00:30:28,360 --> 00:30:32,720 Speaker 2: Yes, and already a drug approved by the FDA, the 461 00:30:32,720 --> 00:30:35,960 Speaker 2: Food and Drug Administration here in the United States. It's 462 00:30:36,520 --> 00:30:40,840 Speaker 2: it's approved for inducing labor and pregnant women. You wow, 463 00:30:40,920 --> 00:30:44,480 Speaker 2: I forget what it's called. Potocin. Potosin, I think is 464 00:30:44,480 --> 00:30:49,560 Speaker 2: what it's called. Yes, my wife didn't have to use it. Huh. 465 00:30:49,640 --> 00:30:51,680 Speaker 1: That's fascinating. That's a good thing, right, you want the 466 00:30:51,760 --> 00:30:54,080 Speaker 1: minimum amount of yeah. 467 00:30:53,840 --> 00:30:56,600 Speaker 2: And chemicals going in during pregnancy. But it's used a 468 00:30:56,600 --> 00:31:00,240 Speaker 2: lot of times to induce I don't want, I want 469 00:31:00,240 --> 00:31:01,880 Speaker 2: to throw anyone under the bus here, but a lot 470 00:31:01,880 --> 00:31:05,719 Speaker 2: of times used to induce a labor when staff is 471 00:31:05,760 --> 00:31:09,440 Speaker 2: being changed out in a period, so that a new 472 00:31:09,640 --> 00:31:11,960 Speaker 2: nurse or a new set of people coming in don't 473 00:31:12,000 --> 00:31:15,480 Speaker 2: have to just pick up where the other whole crew left. 474 00:31:15,280 --> 00:31:18,080 Speaker 1: Off, okay, because they might not have the background knowledge 475 00:31:18,120 --> 00:31:19,200 Speaker 1: of the previous Yeah. 476 00:31:19,080 --> 00:31:21,600 Speaker 2: I'm not saying that's not officially what it's used for, 477 00:31:21,960 --> 00:31:23,239 Speaker 2: but if you're in a tight spot and you need 478 00:31:23,280 --> 00:31:24,800 Speaker 2: to get a baby out, it's also really. 479 00:31:24,600 --> 00:31:28,120 Speaker 1: Helpful and oxytocin. It turns out the levels of this 480 00:31:28,240 --> 00:31:30,880 Speaker 1: substance to climb with age and both men and women. 481 00:31:31,280 --> 00:31:34,640 Speaker 1: And when oxytocin is injected into older mice over a 482 00:31:34,680 --> 00:31:38,600 Speaker 1: systematic regimen or schedule, the hormone quickly within a couple 483 00:31:38,600 --> 00:31:42,520 Speaker 1: of weeks, regenerates muscles by activating muscle stem cells. 484 00:31:42,560 --> 00:31:42,960 Speaker 2: Wow. 485 00:31:43,080 --> 00:31:46,000 Speaker 1: And Wagers was following up on this anti aging work 486 00:31:46,040 --> 00:31:48,280 Speaker 1: at Harvard, where she started her own lab in two 487 00:31:48,320 --> 00:31:51,720 Speaker 1: thousand and four. She recruited the help of experts in 488 00:31:51,840 --> 00:31:56,520 Speaker 1: various organ systems to help her evaluate the specific impact 489 00:31:56,920 --> 00:32:00,840 Speaker 1: of young blood on the respective tissues of the organs. 490 00:32:01,280 --> 00:32:04,800 Speaker 1: We've got a couple of examples of her findings here. 491 00:32:05,200 --> 00:32:09,920 Speaker 2: Yeah. Then she worked with Robin Franklin, who was a 492 00:32:09,960 --> 00:32:13,760 Speaker 2: neuroscientist at the University of Cambridge in the UK. They 493 00:32:13,960 --> 00:32:17,200 Speaker 2: kind of discovered that young blood promotes the repairing of 494 00:32:17,280 --> 00:32:20,240 Speaker 2: damaged spinal cords in older mice. So if you've got 495 00:32:20,480 --> 00:32:23,080 Speaker 2: I mean, that's huge. Yeah, there are a lot of 496 00:32:23,880 --> 00:32:26,480 Speaker 2: things that you could hopefully apply that to in humans. 497 00:32:26,520 --> 00:32:28,000 Speaker 2: If you can work that out in mice. 498 00:32:28,200 --> 00:32:31,480 Speaker 1: The implications of that are pretty astounding. 499 00:32:31,680 --> 00:32:33,840 Speaker 2: It's the implication, it's the implication. 500 00:32:35,520 --> 00:32:40,680 Speaker 1: There was another neuroscientist, Lee Rubin, with whom Wagers found 501 00:32:40,840 --> 00:32:44,560 Speaker 1: that young blood sparks the formation of new neurons in 502 00:32:44,600 --> 00:32:48,320 Speaker 1: the brain and old factory system again associate with smell. 503 00:32:48,520 --> 00:32:51,239 Speaker 2: Yeah, huge, huge, if you can apply it and then 504 00:32:51,920 --> 00:32:56,120 Speaker 2: with cardiologist Richard Lee at Brigham and Women's Hospital in Boston, 505 00:32:56,200 --> 00:32:59,920 Speaker 2: mass she found that it reverses age related thickening of 506 00:33:00,080 --> 00:33:03,040 Speaker 2: the walls of the heart. Again, you've got heart, you've 507 00:33:03,080 --> 00:33:07,920 Speaker 2: got brain, you've got spinal cord. Huge improvements to the 508 00:33:08,200 --> 00:33:12,800 Speaker 2: lives of older people, older mice in this case, right possibly. 509 00:33:12,840 --> 00:33:16,720 Speaker 1: Now before before Matt and I begin to sound as 510 00:33:16,760 --> 00:33:23,120 Speaker 1: if we are telethon infomercial people shilling a new cure 511 00:33:23,160 --> 00:33:27,080 Speaker 1: to make your pet mouse live forever, must go to 512 00:33:27,160 --> 00:33:32,040 Speaker 1: the immediate question, which is the following. If this works 513 00:33:32,080 --> 00:33:35,440 Speaker 1: in mice, If these techniques work in mice, could we 514 00:33:35,640 --> 00:33:40,320 Speaker 1: rejuvenate aging humans by feeding them the blood of younger, 515 00:33:41,160 --> 00:33:44,920 Speaker 1: healthy humans. We'll tell you the answer, or at least 516 00:33:44,960 --> 00:33:49,120 Speaker 1: as far as modern medicine is gone publicly after a 517 00:33:49,120 --> 00:33:50,280 Speaker 1: word from our sponsor. 518 00:33:57,400 --> 00:33:59,640 Speaker 2: As you listen to this episode and as we sit 519 00:33:59,680 --> 00:34:03,560 Speaker 2: in this room and record it, research is pushing all 520 00:34:03,600 --> 00:34:06,400 Speaker 2: of us in this direction, and it's threatening to collide 521 00:34:06,440 --> 00:34:10,040 Speaker 2: head on with what we understand about ethics and morality 522 00:34:10,480 --> 00:34:15,040 Speaker 2: in human experimentation, something that we've been doing since humans 523 00:34:15,320 --> 00:34:19,320 Speaker 2: could talk and move a scalpel around and or whatever 524 00:34:19,360 --> 00:34:23,040 Speaker 2: other implement has been used in the past. We've been 525 00:34:23,080 --> 00:34:26,120 Speaker 2: pushing these boundaries, and it seems like we're doing it again. 526 00:34:27,480 --> 00:34:30,400 Speaker 1: One of the most immediate aspects to consider here is 527 00:34:30,480 --> 00:34:37,000 Speaker 1: the power and influence of privately funded research or very 528 00:34:38,400 --> 00:34:43,600 Speaker 1: financially or socially powerful individuals who are aging and ailing 529 00:34:43,880 --> 00:34:49,520 Speaker 1: and interested and interested. Because one thing most people seem 530 00:34:49,600 --> 00:34:53,600 Speaker 1: to have in common thanatologists find people who study deathfind 531 00:34:54,080 --> 00:34:56,680 Speaker 1: is that no one wants to die. 532 00:34:56,800 --> 00:34:58,680 Speaker 2: Nope, it's you know. 533 00:34:58,840 --> 00:35:03,960 Speaker 1: People do at times, unfortunately and tragically take their own lives, 534 00:35:03,960 --> 00:35:08,719 Speaker 1: but by and large, humans are hardwired to want to 535 00:35:08,800 --> 00:35:12,399 Speaker 1: live for as long as possible, even in the worst 536 00:35:12,440 --> 00:35:15,319 Speaker 1: of circumstances. That's why there are so many of us 537 00:35:15,360 --> 00:35:20,360 Speaker 1: here today. For example, when a private firm based in 538 00:35:20,440 --> 00:35:23,960 Speaker 1: Hong Kong learned of this research, they moved immediately to 539 00:35:24,000 --> 00:35:27,319 Speaker 1: get in the game. It turns out they made this 540 00:35:27,440 --> 00:35:31,439 Speaker 1: move because the family who owned this corporate dynasty had 541 00:35:31,520 --> 00:35:37,200 Speaker 1: a prevalent history of Alzheimer's, and other private entities are 542 00:35:37,520 --> 00:35:39,960 Speaker 1: attempting to get in the game. There's one you may 543 00:35:39,960 --> 00:35:44,560 Speaker 1: have read about a few years back. Jesse Kremazen wants 544 00:35:44,719 --> 00:35:49,040 Speaker 1: he wants to bring this idea, this young blood to 545 00:35:49,120 --> 00:35:52,840 Speaker 1: the old transfusion treatment to the public with the creation 546 00:35:52,880 --> 00:35:57,319 Speaker 1: of a company called Ambrosia. Ambrusia purports to rejuvenate the 547 00:35:57,360 --> 00:36:02,080 Speaker 1: aging and well to do with injects of younger plasma. 548 00:36:02,120 --> 00:36:07,240 Speaker 1: Plasma is the essentially the liquid component of blood and. 549 00:36:07,320 --> 00:36:10,560 Speaker 2: The looks kind of yellow, right, it does. 550 00:36:11,520 --> 00:36:14,560 Speaker 1: And the plasma is what's stored at blood banks. 551 00:36:14,840 --> 00:36:17,440 Speaker 2: Yeah, absolutely, and it's it's the stuff that has all 552 00:36:17,480 --> 00:36:20,600 Speaker 2: of the antibodies and all the really important stuff, all 553 00:36:20,640 --> 00:36:21,280 Speaker 2: the good stuff. 554 00:36:21,400 --> 00:36:27,040 Speaker 1: Yeah, all the all the all the important stuff. Plasma 555 00:36:27,760 --> 00:36:30,320 Speaker 1: in this case is going to come from people aged 556 00:36:30,560 --> 00:36:37,880 Speaker 1: sixteen to twenty five. Currently, Ambrosia has two locations, both 557 00:36:37,920 --> 00:36:41,480 Speaker 1: of which I'm reading tea leaves about. But I am 558 00:36:41,520 --> 00:36:44,799 Speaker 1: making so many assumptions about this. So one location is 559 00:36:44,840 --> 00:36:49,880 Speaker 1: in San Francisco, Yeah, and one's in Tampa, Tampa. So 560 00:36:50,080 --> 00:36:53,520 Speaker 1: here's what I'm wondering, And Matt, I bet you're wondering 561 00:36:53,560 --> 00:36:56,320 Speaker 1: the same thing. And we want to know your opinion, folks. 562 00:36:57,840 --> 00:37:00,600 Speaker 1: San Francisco kind of makes sense to me, home of 563 00:37:00,719 --> 00:37:03,400 Speaker 1: like water bars. 564 00:37:03,280 --> 00:37:06,080 Speaker 2: And oxygen bars and all. There we go. 565 00:37:06,160 --> 00:37:10,800 Speaker 1: Yeah, so maybe there's a maybe there's a tech guru 566 00:37:11,040 --> 00:37:12,320 Speaker 1: aspect to this. 567 00:37:12,600 --> 00:37:13,759 Speaker 2: Right, got to get that edge. 568 00:37:13,760 --> 00:37:19,520 Speaker 1: However, and then in Tampa there's a what's the most 569 00:37:19,560 --> 00:37:20,120 Speaker 1: polite way to. 570 00:37:20,120 --> 00:37:21,920 Speaker 2: Say this, there's a ton of old people. 571 00:37:23,800 --> 00:37:27,680 Speaker 1: Yeah, right on exactly, a significant percentage of the population 572 00:37:28,000 --> 00:37:28,719 Speaker 1: is retired. 573 00:37:28,760 --> 00:37:30,880 Speaker 2: That's what I said, all right, I think you. 574 00:37:31,239 --> 00:37:34,680 Speaker 1: I think you said it in a bit more evocative 575 00:37:34,800 --> 00:37:36,719 Speaker 1: and dare I say accurate way than I did? 576 00:37:36,840 --> 00:37:37,560 Speaker 2: It was concise. 577 00:37:37,840 --> 00:37:41,120 Speaker 1: It was concise. It's important to note here in the 578 00:37:41,160 --> 00:37:45,560 Speaker 1: case of Ambrosia that younger does not mean infants. We 579 00:37:45,640 --> 00:37:48,680 Speaker 1: said they're sixteen to twenty five. Don't worry. No one 580 00:37:48,760 --> 00:37:51,640 Speaker 1: is tossing toddlers into a juicer as far as we know. 581 00:37:53,320 --> 00:37:57,160 Speaker 1: Bad image, but necessary. You're necessary for us to say that. 582 00:37:57,920 --> 00:38:02,120 Speaker 1: Nor is this company at this point swing people together, 583 00:38:02,480 --> 00:38:05,600 Speaker 1: or you know, practicing parabiosis on humans. 584 00:38:05,680 --> 00:38:06,000 Speaker 2: Yeah. 585 00:38:06,080 --> 00:38:09,960 Speaker 1: Instead, they're offering, as Matt said, straight up transfusions. 586 00:38:10,280 --> 00:38:13,239 Speaker 2: Yeah. And if you want to get this done, you 587 00:38:13,320 --> 00:38:18,719 Speaker 2: can potentially. I can't. I don't think in this lifetime. 588 00:38:18,719 --> 00:38:21,520 Speaker 2: Maybe I'll have to check with my accountant. Oh wait, 589 00:38:21,560 --> 00:38:23,200 Speaker 2: I don't have an accountant. All right, Well, no, I 590 00:38:23,239 --> 00:38:27,840 Speaker 2: can't do this. The pricing plans will enroll almost anybody 591 00:38:27,920 --> 00:38:31,160 Speaker 2: over thirty five years of age. The fees, though, are 592 00:38:31,200 --> 00:38:36,200 Speaker 2: totaling up to eight thousand dollars per person per I 593 00:38:36,200 --> 00:38:36,480 Speaker 2: don't know. 594 00:38:36,480 --> 00:38:41,439 Speaker 1: What you'd call it pop yeah, per transfusion, but right, 595 00:38:42,160 --> 00:38:45,680 Speaker 1: And they say that is covering the expense of the research, 596 00:38:45,880 --> 00:38:50,640 Speaker 1: covering the raw cost of retrieving, maintaining, transporting the plasma. 597 00:38:52,520 --> 00:38:55,880 Speaker 1: And it makes you wonder what happens to people in 598 00:38:55,920 --> 00:38:58,560 Speaker 1: those ten years between twenty five and thirty five. You're 599 00:38:58,560 --> 00:39:04,600 Speaker 1: too young to receive the treatment quote unquote treatment, you're 600 00:39:04,719 --> 00:39:08,399 Speaker 1: too old to donate. Just got to make it through 601 00:39:08,440 --> 00:39:10,279 Speaker 1: that decade long wilderness. 602 00:39:10,400 --> 00:39:12,439 Speaker 2: Yeah, your blood is just in stasis too, I guess 603 00:39:12,440 --> 00:39:15,319 Speaker 2: according to research, just not really getting better. It's not 604 00:39:15,360 --> 00:39:16,920 Speaker 2: getting worse, just kind of hanging. 605 00:39:17,719 --> 00:39:22,400 Speaker 1: And ambrosia currently has it has had a lot of press, 606 00:39:22,600 --> 00:39:25,600 Speaker 1: and it obviously has a lot of people who believe 607 00:39:25,640 --> 00:39:27,320 Speaker 1: in it enough to at least give it a try, 608 00:39:27,880 --> 00:39:31,000 Speaker 1: but as quite a few critics. Critics are arguing that 609 00:39:31,440 --> 00:39:36,839 Speaker 1: the perobiosis experiments conducted on mice don't offer very much 610 00:39:36,840 --> 00:39:41,880 Speaker 1: insight into how a one time transfusion could affect a human. 611 00:39:42,800 --> 00:39:50,160 Speaker 1: So Wagers from earlier said that in our studies, circulation 612 00:39:50,280 --> 00:39:53,719 Speaker 1: between a young mouse and old mouse was maintained through 613 00:39:53,760 --> 00:39:57,560 Speaker 1: this parobiosis for nearly four weeks, almost a month. 614 00:39:57,800 --> 00:40:00,279 Speaker 2: Yeah, and you're doing this for an hour or so, 615 00:40:00,320 --> 00:40:03,640 Speaker 2: a couple hours maybe, right, I don't know. 616 00:40:03,600 --> 00:40:08,480 Speaker 1: Eight grand a pop. Additionally, ethicists are concerned that ambrosia 617 00:40:08,840 --> 00:40:12,520 Speaker 1: is that because ambrosia is being financed by the participants, 618 00:40:12,560 --> 00:40:17,439 Speaker 1: by the people who will receive these transfusions. I keep 619 00:40:18,920 --> 00:40:22,520 Speaker 1: I want to do like an arch sinister voice every 620 00:40:22,520 --> 00:40:25,080 Speaker 1: time I say young blood. Yeah, it's just such a 621 00:40:25,160 --> 00:40:29,720 Speaker 1: sinister Gary Oldman is Dracula phrase. 622 00:40:29,840 --> 00:40:31,720 Speaker 2: You know, you just have to do like a licking 623 00:40:31,800 --> 00:40:33,480 Speaker 2: of your lips sound after you say it. 624 00:40:33,480 --> 00:40:39,960 Speaker 1: That's all yield or yeah. But they're the ethical problem 625 00:40:39,960 --> 00:40:42,040 Speaker 1: with this, or one of the ethical problems is that 626 00:40:42,080 --> 00:40:46,720 Speaker 1: there are not straight up investors. So if we're talking 627 00:40:46,719 --> 00:40:51,480 Speaker 1: about people who are desperate to mitigate the delatorious effects 628 00:40:51,480 --> 00:40:55,360 Speaker 1: of aging, then they're going to have a very difficult 629 00:40:55,360 --> 00:41:00,360 Speaker 1: time being objective about the results, especially when we in 630 00:41:00,400 --> 00:41:05,080 Speaker 1: the idea that the placebo effect does have measurable and 631 00:41:05,200 --> 00:41:11,600 Speaker 1: significant physiological impacts upon a human body. 632 00:41:11,840 --> 00:41:16,120 Speaker 2: Right yep, man, Well, so let's see where we are 633 00:41:16,160 --> 00:41:21,320 Speaker 2: at least as of December twenty sixteen. According to Ambrosia, 634 00:41:21,320 --> 00:41:24,480 Speaker 2: they've infused twenty five people with young blood so up 635 00:41:24,560 --> 00:41:29,000 Speaker 2: until December twenty sixteen. It is now into twenty eighteen, 636 00:41:29,120 --> 00:41:32,480 Speaker 2: so who knows, maybe that number has doubled. We don't 637 00:41:32,520 --> 00:41:35,080 Speaker 2: have notes from Ambrosia, but I'm sure we will get 638 00:41:35,120 --> 00:41:40,240 Speaker 2: them soon. So Carmezine claims that his participants are seeing 639 00:41:40,280 --> 00:41:44,000 Speaker 2: miraculous results, which is something you have to do when 640 00:41:44,040 --> 00:41:47,000 Speaker 2: you have a company that does something like this. Patient 641 00:41:47,040 --> 00:41:50,160 Speaker 2: with chronic fatigue syndrome, for example, quote feels healthy for 642 00:41:50,200 --> 00:41:54,160 Speaker 2: the first time and looks younger, which is nice. And 643 00:41:54,200 --> 00:41:56,319 Speaker 2: you know, these kind of antidotes will help, you know, 644 00:41:56,400 --> 00:41:58,600 Speaker 2: market the study at least and get more people involved 645 00:41:58,600 --> 00:42:01,359 Speaker 2: so we get more data. That can't be a bad thing. 646 00:42:01,880 --> 00:42:04,800 Speaker 2: But you know, it's not proof that the plasma infusions 647 00:42:04,800 --> 00:42:07,759 Speaker 2: actually work, and that would would be patients you know, 648 00:42:08,320 --> 00:42:11,239 Speaker 2: should believe these at all, at least go into it 649 00:42:11,280 --> 00:42:13,200 Speaker 2: thinking maybe this will work. 650 00:42:13,840 --> 00:42:14,160 Speaker 1: Right. 651 00:42:14,280 --> 00:42:14,480 Speaker 2: Yeah. 652 00:42:14,640 --> 00:42:19,680 Speaker 1: One of the reasons that drug approval moves so slowly 653 00:42:20,120 --> 00:42:23,759 Speaker 1: is that there well, aside from the endemic corruption in 654 00:42:23,840 --> 00:42:30,400 Speaker 1: the pharmaceutical industry and the medical medtech industry, typically on paper, 655 00:42:30,480 --> 00:42:34,240 Speaker 1: the reason why these things move so slowly is because 656 00:42:34,280 --> 00:42:39,160 Speaker 1: they're very important. They're literally putting people's lives in danger potentially, 657 00:42:39,239 --> 00:42:41,719 Speaker 1: so there are a lot of hoops to jump through, 658 00:42:41,760 --> 00:42:44,120 Speaker 1: and there should be quite a few hoops to jump through. 659 00:42:44,560 --> 00:42:48,960 Speaker 1: According to Jonathan Kimmelman, who is a bioethicist at McGill University, 660 00:42:50,080 --> 00:42:52,920 Speaker 1: there are a lot of patient funded trials run by 661 00:42:52,960 --> 00:42:55,520 Speaker 1: companies that use the trials as a way to sell 662 00:42:55,600 --> 00:42:58,759 Speaker 1: products that would not be marketable because they'd have to 663 00:42:58,760 --> 00:43:00,640 Speaker 1: be regulated by the FDA. 664 00:43:01,160 --> 00:43:06,400 Speaker 2: Yes, and speaking of a recent study concluded in November 665 00:43:06,520 --> 00:43:10,920 Speaker 2: twenty seventeen. It was done at the Stanford University School 666 00:43:10,920 --> 00:43:15,920 Speaker 2: of Medicine. It was a clinical trial looking at the safety, tolerability, 667 00:43:15,960 --> 00:43:19,080 Speaker 2: and feasibility of administering infusions, just what we've been talking 668 00:43:19,080 --> 00:43:22,400 Speaker 2: about with ambrosia love blood plasma from young donors to 669 00:43:22,520 --> 00:43:27,200 Speaker 2: participants with mild to moderate Alzheimer's disease. Again, very similar 670 00:43:27,960 --> 00:43:29,920 Speaker 2: thing that we're trying to treat here with young blood. 671 00:43:30,239 --> 00:43:34,080 Speaker 2: Different study, which is a good thing because now you've 672 00:43:34,120 --> 00:43:36,840 Speaker 2: got with multiple studies, if you're getting the same results, 673 00:43:36,840 --> 00:43:39,319 Speaker 2: then you're getting closer to, you know, actually doing what 674 00:43:39,360 --> 00:43:43,560 Speaker 2: a scientific experiment is supposed to do. This trial in particular, 675 00:43:43,680 --> 00:43:46,640 Speaker 2: was created to test a hypothesis put forth by this person, 676 00:43:46,760 --> 00:43:51,640 Speaker 2: Tony Weisskore. He is a doctor, he's a Stanford Professor 677 00:43:51,680 --> 00:43:54,520 Speaker 2: of neurology, and he's also a scientist at the Veterans 678 00:43:54,560 --> 00:44:01,120 Speaker 2: Affairs in Palo Alto anyway, in California. His research, he 679 00:44:01,160 --> 00:44:04,080 Speaker 2: did research with mice as well, and again found that 680 00:44:04,120 --> 00:44:06,440 Speaker 2: factors in the blood of young mice can rejuvenate the 681 00:44:06,440 --> 00:44:10,239 Speaker 2: brain tissue and improve cognitive performance in old mice. You 682 00:44:10,280 --> 00:44:11,759 Speaker 2: can even see a ted talk of him if you 683 00:44:11,840 --> 00:44:16,840 Speaker 2: want to. But anyway, in this one, it's again a company, 684 00:44:17,239 --> 00:44:20,759 Speaker 2: a private company that has at least a hand in 685 00:44:20,840 --> 00:44:24,080 Speaker 2: getting this research done and having this clinical trial put on. 686 00:44:24,560 --> 00:44:30,160 Speaker 2: It's called Alcahest and it quote holds intellectual property associated 687 00:44:30,200 --> 00:44:35,520 Speaker 2: with the treatment regimen for this particular trial. And the 688 00:44:35,560 --> 00:44:37,960 Speaker 2: Tony Weiss kay gentleman, who was not a part of 689 00:44:38,000 --> 00:44:41,359 Speaker 2: this experiment at least according to Stanford, he is the 690 00:44:41,360 --> 00:44:43,600 Speaker 2: co founder of this company and also the chair of 691 00:44:43,640 --> 00:44:50,880 Speaker 2: its scientific advisory board. So again you've got private interest 692 00:44:51,440 --> 00:44:53,920 Speaker 2: to carry out these kinds of trials to see if 693 00:44:53,920 --> 00:44:56,680 Speaker 2: there's anything to this young blood transfusion stuff. 694 00:44:57,440 --> 00:45:02,239 Speaker 1: Right, And we're all so seeing that a lot of 695 00:45:02,280 --> 00:45:06,320 Speaker 1: these studies or trials conducted have relatively small sample sizes. 696 00:45:06,480 --> 00:45:09,160 Speaker 2: Yeah, in this one there were only eighteen human beings 697 00:45:09,160 --> 00:45:11,760 Speaker 2: that were transfused. 698 00:45:13,120 --> 00:45:18,680 Speaker 1: And this is the public state of affairs at the present. However, 699 00:45:19,160 --> 00:45:21,600 Speaker 1: there are clear and present dangers with this sort of 700 00:45:21,640 --> 00:45:25,920 Speaker 1: experimentation that go far above and way beyond something like 701 00:45:26,239 --> 00:45:33,080 Speaker 1: investor ethics and bureaucratic concerns. As we said, a transfusion 702 00:45:33,160 --> 00:45:35,560 Speaker 1: is not parabiosis. So at this point there's not a 703 00:45:35,600 --> 00:45:39,240 Speaker 1: solid load of widely accepted evidence that indicates any major 704 00:45:39,280 --> 00:45:43,560 Speaker 1: health benefits, and that leads critics of places like Ambrosia 705 00:45:43,600 --> 00:45:47,399 Speaker 1: to claim they are only praying on the desperate. So far, 706 00:45:47,520 --> 00:45:51,760 Speaker 1: we do not know if anyone is practicing human parabiosis. 707 00:45:52,239 --> 00:45:59,000 Speaker 1: In the past, there were certain grisly experiments that you 708 00:45:59,040 --> 00:46:01,600 Speaker 1: can hear about in little more depth in our Human 709 00:46:01,640 --> 00:46:05,560 Speaker 1: Experimentation series. In the past, there were experiments that approached 710 00:46:05,800 --> 00:46:12,200 Speaker 1: some stuff like this, But perhaps the most concise way 711 00:46:12,320 --> 00:46:16,800 Speaker 1: to describe those experiments is to say that the people 712 00:46:16,840 --> 00:46:20,600 Speaker 1: conducting the experiments were in no way concerned about the 713 00:46:20,600 --> 00:46:24,840 Speaker 1: benefits or even the survival rate. The benefits to or 714 00:46:24,880 --> 00:46:28,120 Speaker 1: the survival rate of their patients, in a better word, 715 00:46:28,160 --> 00:46:30,719 Speaker 1: for their patients would have been victims, because we were 716 00:46:30,760 --> 00:46:34,920 Speaker 1: talking about wartime experiments by people who were absolute lunatics. 717 00:46:36,719 --> 00:46:42,520 Speaker 1: Were there someone or some organization currently experimenting with human 718 00:46:42,600 --> 00:46:48,080 Speaker 1: parabiosis at this point, it would almost certainly be secret. 719 00:46:48,120 --> 00:46:51,320 Speaker 1: It would be classified because it would be seven shades 720 00:46:51,360 --> 00:46:56,280 Speaker 1: of illegal to do so if it's going on currently. 721 00:46:56,760 --> 00:46:59,959 Speaker 1: We would not know the age of the participants either, 722 00:47:00,040 --> 00:47:01,319 Speaker 1: which is another scary thing. 723 00:47:02,520 --> 00:47:04,799 Speaker 2: If it was done legally, though, they would have to 724 00:47:04,800 --> 00:47:08,440 Speaker 2: be over eighteen unless they had I guess permission from 725 00:47:08,520 --> 00:47:09,640 Speaker 2: their parents. 726 00:47:09,880 --> 00:47:12,040 Speaker 1: I don't know if parents could sign up for that, 727 00:47:12,200 --> 00:47:17,200 Speaker 1: but yeah, legally, they would all have to be over 728 00:47:17,280 --> 00:47:22,840 Speaker 1: eighteen for some kind of consent to for informed consent 729 00:47:22,960 --> 00:47:28,640 Speaker 1: to occur within the US at least, yeah, legally legally, again, 730 00:47:29,239 --> 00:47:33,239 Speaker 1: legally for that to happen. If someone is experimenting with 731 00:47:33,320 --> 00:47:38,080 Speaker 1: human parabiosis, they're also running the risk of parabiosis disease, 732 00:47:38,200 --> 00:47:41,560 Speaker 1: which we mentioned earlier from those experiments in the nineteen fifties, 733 00:47:42,200 --> 00:47:46,680 Speaker 1: and the chances. Here's where we get. We go on 734 00:47:46,719 --> 00:47:55,480 Speaker 1: some disturbing breadcrumbs. You're ready, Okay, So, if we're experimenting, 735 00:47:55,520 --> 00:48:00,959 Speaker 1: if our species experimenting with human parabiosis currently, then there's 736 00:48:01,000 --> 00:48:01,560 Speaker 1: that risk. 737 00:48:02,239 --> 00:48:02,400 Speaker 2: Was it? 738 00:48:02,480 --> 00:48:07,720 Speaker 1: Eleven of the sixty nine rap pairs right experienced parabiosis disease. 739 00:48:07,920 --> 00:48:10,440 Speaker 2: He just died after a little while fatal rejection. 740 00:48:11,280 --> 00:48:15,480 Speaker 1: The chances of this disease occurring are greatly reduced when 741 00:48:15,480 --> 00:48:20,200 Speaker 1: the participants are increasingly similar. For our purposes, when the 742 00:48:20,400 --> 00:48:26,120 Speaker 1: participants are increasingly related. So, next breadcrumb, what would your 743 00:48:26,320 --> 00:48:31,240 Speaker 1: closest relationship be for this experiment? What other individual would 744 00:48:31,280 --> 00:48:38,120 Speaker 1: create the highest chance of success in an experiment with parabiosis? Well, 745 00:48:38,239 --> 00:48:43,440 Speaker 1: one question. One might say a child, taking your own child. 746 00:48:44,200 --> 00:48:51,680 Speaker 1: One might say a sibling, But we have another We 747 00:48:51,760 --> 00:48:56,480 Speaker 1: have another field of technology that is moving at a 748 00:48:56,520 --> 00:49:01,319 Speaker 1: rapid pace. Now, what's closer than a sibling, closer than 749 00:49:01,320 --> 00:49:03,920 Speaker 1: a child, even closer than a fraternal twin? 750 00:49:04,600 --> 00:49:05,200 Speaker 2: A clone? 751 00:49:05,960 --> 00:49:11,200 Speaker 1: Spot on, Matt, A clone? Oh what? So imagine we've 752 00:49:11,200 --> 00:49:14,200 Speaker 1: talked about this before with the possibility of growing organs, right, 753 00:49:14,840 --> 00:49:22,160 Speaker 1: growing clones? Four spare organs? Would it be? Is there 754 00:49:22,200 --> 00:49:27,640 Speaker 1: a possible future where there would be a clone grown 755 00:49:28,320 --> 00:49:32,040 Speaker 1: to act as a filter for your blood that's younger 756 00:49:32,040 --> 00:49:35,520 Speaker 1: than you, that is just kept somewhere and you just 757 00:49:35,600 --> 00:49:36,520 Speaker 1: plug up to it. 758 00:49:37,160 --> 00:49:40,359 Speaker 2: Maybe when you hit a certain age, you have a 759 00:49:40,400 --> 00:49:43,520 Speaker 2: bunch of your genetic material put away in a vault somewhere, 760 00:49:44,000 --> 00:49:47,000 Speaker 2: and then that's used to begin creating clones of you 761 00:49:47,640 --> 00:49:50,120 Speaker 2: at another certain age, or maybe once you hit that age, 762 00:49:50,480 --> 00:49:54,759 Speaker 2: like let's say eighteen or so, then you just continuously 763 00:49:54,760 --> 00:49:56,839 Speaker 2: throughout the rest of your life, once you hit thirty five, 764 00:49:57,360 --> 00:50:00,160 Speaker 2: use these clones to be attached to you for a 765 00:50:00,160 --> 00:50:00,680 Speaker 2: little while. 766 00:50:01,000 --> 00:50:05,920 Speaker 1: And there's so little published science on this. There are 767 00:50:05,920 --> 00:50:13,719 Speaker 1: absolutely no long term studies, no longitudinal studies of the 768 00:50:13,840 --> 00:50:20,160 Speaker 1: nature of this effect. Like, what if someone begins engaging 769 00:50:20,200 --> 00:50:22,360 Speaker 1: in some sort of thing like this, let's say, for 770 00:50:22,400 --> 00:50:25,920 Speaker 1: the sake of argument, actual parabiosis, right, and let's say 771 00:50:26,320 --> 00:50:32,000 Speaker 1: for months every year or ever, Yeah, for month every 772 00:50:32,040 --> 00:50:37,480 Speaker 1: year something, they're stitched next to some source of young blood. 773 00:50:37,760 --> 00:50:42,359 Speaker 1: And what happens to that? What does their body look 774 00:50:42,400 --> 00:50:45,359 Speaker 1: like physiologically when they are sixty five, when they are 775 00:50:45,440 --> 00:50:48,040 Speaker 1: seventy five? You know, how long does this go? No 776 00:50:48,080 --> 00:50:54,160 Speaker 1: one knows. No one knows because it's unless you're very careful. 777 00:50:54,280 --> 00:51:00,239 Speaker 1: It's evil to do that kind of experimentation. Additionally, this 778 00:51:00,320 --> 00:51:03,000 Speaker 1: is even weirder. This is not as scary, but it 779 00:51:03,080 --> 00:51:08,759 Speaker 1: is weird. Evidence indicates that injecting human blood plasma into 780 00:51:08,800 --> 00:51:12,840 Speaker 1: the bodies of elderly mice might have beneficial effects on 781 00:51:12,960 --> 00:51:13,360 Speaker 1: the mice. 782 00:51:13,440 --> 00:51:17,879 Speaker 2: Hold on, putting human plasma into a mouse helps the mouse. 783 00:51:18,520 --> 00:51:21,920 Speaker 1: That's what it seems to say. There's an article about 784 00:51:21,920 --> 00:51:25,160 Speaker 1: this in Nature magazine when we have a quote here. 785 00:51:25,680 --> 00:51:28,680 Speaker 2: Oh, yes, they say. Infusing this human plasma into the 786 00:51:28,760 --> 00:51:33,200 Speaker 2: veins of elderly mice, they found improved the animal's ability 787 00:51:33,239 --> 00:51:36,360 Speaker 2: to navigate mazes and to learn to avoid areas of 788 00:51:36,360 --> 00:51:41,000 Speaker 2: their cages that deliver painful electrical shocks. When the researchers 789 00:51:41,000 --> 00:51:43,560 Speaker 2: dissected the animal's brains, they found that the cells in 790 00:51:43,600 --> 00:51:47,600 Speaker 2: the hippocampus, the region associated with learning and memory, expressed 791 00:51:47,719 --> 00:51:51,360 Speaker 2: genes that cause neurons to form more connections in the brain. 792 00:51:52,000 --> 00:51:55,040 Speaker 2: This didn't happen in mice treated with blood from older 793 00:51:55,239 --> 00:51:58,080 Speaker 2: human donors. So only the young blood helps. 794 00:51:58,360 --> 00:52:01,399 Speaker 1: Right, So plasma from older humans did not have much 795 00:52:01,400 --> 00:52:07,000 Speaker 1: of an effect. Plasma from younger sources umbilical cords specifically, 796 00:52:07,000 --> 00:52:09,480 Speaker 1: by the way, turns out to be top notch. What 797 00:52:09,640 --> 00:52:18,240 Speaker 1: could go wrong? What could go wrong with this knowledge? Right? Oh? Gosh. Well, 798 00:52:19,040 --> 00:52:22,520 Speaker 1: for now, it appears that any claims that young blood 799 00:52:22,600 --> 00:52:27,279 Speaker 1: or plasma will extend human lifespan are false. 800 00:52:27,560 --> 00:52:29,440 Speaker 2: Or at least we just don't have the data. 801 00:52:29,360 --> 00:52:31,960 Speaker 1: Right, We don't know. The data is just not there. Yeah, 802 00:52:32,000 --> 00:52:35,000 Speaker 1: an experiment to test such claims would take upwards of 803 00:52:35,280 --> 00:52:38,560 Speaker 1: six years, first waiting for the mice to age, then 804 00:52:38,600 --> 00:52:42,319 Speaker 1: for them to die naturally, then analyzing the data. If 805 00:52:42,320 --> 00:52:45,920 Speaker 1: we had funding to do this, says Michael Conboy, I 806 00:52:46,120 --> 00:52:50,080 Speaker 1: do it, but we don't. Still, he adds, after a 807 00:52:50,080 --> 00:52:54,799 Speaker 1: moment of hesitation, I hope that someone somewhere is keep 808 00:52:54,840 --> 00:52:56,359 Speaker 1: in mind he's just talking about mice. 809 00:52:56,480 --> 00:52:59,880 Speaker 2: Yeah, yeah, mice, just mice, and just in the nicest 810 00:52:59,880 --> 00:53:04,680 Speaker 2: of Michael Conboy. Yeah. So, currently it appears the best 811 00:53:04,680 --> 00:53:08,000 Speaker 2: possible case we can hope for is the isolation of 812 00:53:08,040 --> 00:53:11,480 Speaker 2: some specific proteins or other elements that are found in 813 00:53:11,520 --> 00:53:15,840 Speaker 2: young blood. These special reasons that rejuvenation occurs, because this 814 00:53:15,880 --> 00:53:19,320 Speaker 2: could lead to amazingly effective treatments for age related ailments. 815 00:53:19,360 --> 00:53:22,600 Speaker 2: We're talking to Alzheimer's, dementia and so on, without requiring 816 00:53:22,600 --> 00:53:25,200 Speaker 2: people to bathe in the blood of virgins or you know, 817 00:53:26,040 --> 00:53:28,080 Speaker 2: suck on human numbilical cords. 818 00:53:28,719 --> 00:53:33,279 Speaker 1: Yeah, yeah, exactly. The hope would be that our species 819 00:53:33,360 --> 00:53:37,960 Speaker 1: could isolate, let's say, a specific protein, and that specific 820 00:53:38,080 --> 00:53:43,759 Speaker 1: protein could be marketed right and created in some different way. 821 00:53:43,960 --> 00:53:48,040 Speaker 1: And of course this research is very expensive, very complicated. 822 00:53:49,920 --> 00:53:56,160 Speaker 1: You'll hear a lot of people say that as the 823 00:53:56,200 --> 00:53:58,960 Speaker 1: world or the owners of the world now seek to 824 00:53:59,000 --> 00:54:02,200 Speaker 1: move away from an owner ship economy to a service economy, 825 00:54:02,840 --> 00:54:06,880 Speaker 1: you'll hear people allege that quote unquote Big Pharma is 826 00:54:06,920 --> 00:54:08,920 Speaker 1: not in the business of selling cures. They're in the 827 00:54:08,920 --> 00:54:14,160 Speaker 1: business of selling scheduled treatments. So then the concern would be, 828 00:54:14,560 --> 00:54:17,200 Speaker 1: you know, is it it's not a cure all that 829 00:54:17,239 --> 00:54:20,600 Speaker 1: will help somebody's Alzheimer's, it's a pill that they have 830 00:54:20,680 --> 00:54:24,640 Speaker 1: to pay for that they have to take once a day. Well. 831 00:54:24,719 --> 00:54:27,120 Speaker 2: Yeah, if you've got a private company that's based on 832 00:54:27,280 --> 00:54:30,480 Speaker 2: making profit off of something and growing that company to 833 00:54:30,760 --> 00:54:34,000 Speaker 2: hopefully one day sell it or make more money, you 834 00:54:34,120 --> 00:54:37,200 Speaker 2: don't usually want to cure something, right, You don't want 835 00:54:37,200 --> 00:54:38,480 Speaker 2: to put yourself out of business. 836 00:54:38,480 --> 00:54:40,040 Speaker 1: But then there are people on the other side who 837 00:54:40,120 --> 00:54:46,560 Speaker 1: will say that private industry is the is a necessary 838 00:54:46,640 --> 00:54:51,000 Speaker 1: factor for this kind of research. Absolutely, but still but 839 00:54:51,200 --> 00:54:55,040 Speaker 1: still it does allow and this is not us being alarmist. 840 00:54:55,120 --> 00:54:57,480 Speaker 1: It does allow for the possibility of a world in 841 00:54:57,520 --> 00:55:01,280 Speaker 1: which the rich find yet another avenue for victimizing the poor. 842 00:55:01,680 --> 00:55:08,799 Speaker 1: Imagine a planet's worth of real life Elizabeth Bathorys practicing 843 00:55:09,120 --> 00:55:14,040 Speaker 1: non consensual parabiosis. Research is still underweight, and it's safe 844 00:55:14,080 --> 00:55:16,279 Speaker 1: to say that we'll hear more about this in the 845 00:55:16,360 --> 00:55:19,920 Speaker 1: near to mid future. But Matt and I want to 846 00:55:19,960 --> 00:55:22,839 Speaker 1: know what you think. Where do you land on this 847 00:55:22,920 --> 00:55:25,440 Speaker 1: research given that it can mitigate the effects of aging, 848 00:55:25,520 --> 00:55:29,879 Speaker 1: but we should say not give people immortality so far 849 00:55:29,880 --> 00:55:32,480 Speaker 1: as we know, is it worth pursuing and where do 850 00:55:32,520 --> 00:55:33,280 Speaker 1: you see it headed? 851 00:55:33,640 --> 00:55:36,279 Speaker 2: So in my opinion, I think you're going to see 852 00:55:36,280 --> 00:55:40,439 Speaker 2: more of what the character that's kind of modeled after 853 00:55:40,600 --> 00:55:44,240 Speaker 2: Peter Thiel on, Oh what is that what show? HBO 854 00:55:44,360 --> 00:55:48,200 Speaker 2: show Silicon Valley, that character that he's just got a 855 00:55:48,239 --> 00:55:51,279 Speaker 2: young guy that comes around his house a couple times 856 00:55:51,280 --> 00:55:54,560 Speaker 2: a week and they just do a blood transfusion. I 857 00:55:54,560 --> 00:55:56,719 Speaker 2: think that's just going to be a thing that's like 858 00:55:58,200 --> 00:56:01,640 Speaker 2: how the way uber drivers have There are so many 859 00:56:01,760 --> 00:56:04,239 Speaker 2: uber drivers in the world and it's just proliferated. I 860 00:56:04,239 --> 00:56:08,440 Speaker 2: think there will just be that the transfusion person. 861 00:56:08,400 --> 00:56:10,360 Speaker 1: A new aspect of the gig economy. 862 00:56:11,200 --> 00:56:12,880 Speaker 2: I really think so. And it's just something you do 863 00:56:12,960 --> 00:56:17,080 Speaker 2: on Tuesdays and Thursdays over at you know, Bill's house 864 00:56:17,320 --> 00:56:19,200 Speaker 2: or whatever that guy is that lives in the mansion 865 00:56:19,239 --> 00:56:19,960 Speaker 2: on the hill. 866 00:56:21,320 --> 00:56:23,719 Speaker 1: I have no doubt that someone will go off the 867 00:56:23,760 --> 00:56:26,480 Speaker 1: reservation and try this on their own, especially if they 868 00:56:26,480 --> 00:56:32,799 Speaker 1: can afford a relatively unethical doctor to just participate in 869 00:56:32,840 --> 00:56:37,640 Speaker 1: this kind of experimentation. But well, then the doctor could 870 00:56:37,719 --> 00:56:39,840 Speaker 1: be ethical. It depends really how much they want to 871 00:56:39,840 --> 00:56:42,400 Speaker 1: pay the Yeah group, how much work they want to 872 00:56:42,440 --> 00:56:48,000 Speaker 1: put into it. But I'm I think it really depends 873 00:56:48,080 --> 00:56:53,000 Speaker 1: on what data bears out here. If if there is, 874 00:56:53,960 --> 00:56:58,600 Speaker 1: it turns out real tangible results and evidence, then it's 875 00:56:58,760 --> 00:57:01,640 Speaker 1: Katie bar the door. We don't know where it stops, 876 00:57:01,960 --> 00:57:07,239 Speaker 1: but if it is a way to bilk the frightened 877 00:57:07,680 --> 00:57:11,160 Speaker 1: and the aging out of money in an attempt to 878 00:57:12,320 --> 00:57:17,800 Speaker 1: I guess pay the ferrymen a couple of extra coins 879 00:57:17,840 --> 00:57:19,920 Speaker 1: to stay on his side of the river sticks for 880 00:57:19,960 --> 00:57:22,760 Speaker 1: a while. The people will throw money at it, of course. 881 00:57:22,800 --> 00:57:24,760 Speaker 1: But here's the question that bugs me the most, Matt. 882 00:57:25,960 --> 00:57:28,479 Speaker 2: How much are the donors of ambrosia getting paid. 883 00:57:31,480 --> 00:57:33,560 Speaker 1: Oh gosh, yeah, that's a good question. 884 00:57:33,960 --> 00:57:38,000 Speaker 2: Because I mean, I'm in, you're in. Oh no, I'm 885 00:57:39,000 --> 00:57:39,360 Speaker 2: never mind. 886 00:57:39,720 --> 00:57:46,000 Speaker 1: Sorry man. Another question that bugs me is what happened 887 00:57:46,000 --> 00:57:49,959 Speaker 1: to parabiosis research when it dropped out, when it fell 888 00:57:50,000 --> 00:57:53,040 Speaker 1: out of favor. Why did it disappear from the mainstream 889 00:57:53,120 --> 00:57:58,640 Speaker 1: radar for decades? Was it animal rights? Was it something else? 890 00:58:00,360 --> 00:58:04,000 Speaker 1: We'd love to hear your opinion. That concludes our episode 891 00:58:04,120 --> 00:58:07,240 Speaker 1: for today, but never fear, Matt, Noel, Paul and I 892 00:58:07,320 --> 00:58:10,280 Speaker 1: will be back very soon in the meantime. 893 00:58:10,200 --> 00:58:13,120 Speaker 2: And that's the end of this classic episode. If you 894 00:58:13,200 --> 00:58:17,280 Speaker 2: have any thoughts or questions about this episode, you can 895 00:58:17,320 --> 00:58:19,880 Speaker 2: get into contact with us in a number of different ways. 896 00:58:20,080 --> 00:58:21,680 Speaker 2: One of the best is to give us a call. 897 00:58:21,720 --> 00:58:26,520 Speaker 2: Our number is one eight three three STDWYTK. If you 898 00:58:26,560 --> 00:58:28,400 Speaker 2: don't want to do that, you can send us a 899 00:58:28,400 --> 00:58:29,600 Speaker 2: good old fashioned email. 900 00:58:29,840 --> 00:58:33,960 Speaker 1: We are conspiracy at iHeartRadio dot com. 901 00:58:34,160 --> 00:58:36,200 Speaker 2: Stuff they Don't want you to know is a production 902 00:58:36,320 --> 00:58:40,880 Speaker 2: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app, 903 00:58:40,960 --> 00:58:43,800 Speaker 2: Apple Podcasts, or wherever you listen to your favorite shows.