1 00:00:00,280 --> 00:00:04,720 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,840 --> 00:00:09,119 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,240 --> 00:00:12,160 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,280 --> 00:00:13,920 Speaker 1: production of iHeartRadio. 5 00:00:24,200 --> 00:00:27,080 Speaker 2: Hello, welcome back to the show. My name is Matt, my. 6 00:00:27,120 --> 00:00:27,680 Speaker 3: Name is Nol. 7 00:00:27,960 --> 00:00:30,480 Speaker 4: They call me Ben. We're joined as always with our 8 00:00:30,560 --> 00:00:35,120 Speaker 4: super producer Paul Mission Control DECA. Most importantly, you are you. 9 00:00:35,120 --> 00:00:38,640 Speaker 4: You are here. That makes this the stuff they don't 10 00:00:38,840 --> 00:00:41,680 Speaker 4: want you to know, coming to you live from a 11 00:00:41,760 --> 00:00:45,479 Speaker 4: universe of our own, straight to yours. What if we 12 00:00:45,560 --> 00:00:48,440 Speaker 4: could build a perfect society? Guys? What if we figure 13 00:00:48,440 --> 00:00:49,040 Speaker 4: it out? Today? 14 00:00:49,240 --> 00:00:50,040 Speaker 3: Are utopia? 15 00:00:50,600 --> 00:00:55,120 Speaker 2: Yeah, like where scientists have full unregulated control. 16 00:00:55,160 --> 00:00:59,560 Speaker 4: A technocracy. I'm so in Yeah, Like it's weird, right, 17 00:00:59,640 --> 00:01:04,319 Speaker 4: because that's something pretty much all civilizations have aspired to. 18 00:01:04,680 --> 00:01:08,000 Speaker 4: Nobody seems to get the concept of utopia right so far. 19 00:01:08,280 --> 00:01:10,520 Speaker 4: And we'll also along the way tonight figure out why 20 00:01:10,640 --> 00:01:11,639 Speaker 4: utopia is kind. 21 00:01:11,480 --> 00:01:13,920 Speaker 3: Of a mean joke, right, Like, isn't you? 22 00:01:14,319 --> 00:01:17,800 Speaker 5: I almost think utopia and dystopia are synonymous in a 23 00:01:17,840 --> 00:01:18,880 Speaker 5: weird way, you know. 24 00:01:18,880 --> 00:01:21,440 Speaker 4: You know, It's like a lot of things that are 25 00:01:21,600 --> 00:01:25,039 Speaker 4: in theory utopian do end up being dystoping in practice, 26 00:01:25,080 --> 00:01:29,039 Speaker 4: and that's so much film and fiction, right, They're essentially 27 00:01:29,680 --> 00:01:33,679 Speaker 4: terribles about how trying to make a perfect society goes 28 00:01:33,760 --> 00:01:38,319 Speaker 4: terribly wrong. Shout out soiling, green, clockwork, orange. 29 00:01:37,959 --> 00:01:43,800 Speaker 5: Communism, mean, come on, you know, communism sounds great in theory, 30 00:01:43,880 --> 00:01:45,959 Speaker 5: but it's just never quite worked out the way it 31 00:01:46,040 --> 00:01:47,440 Speaker 5: seemed like it should on paper. 32 00:01:47,720 --> 00:01:52,440 Speaker 4: Capitalism as well, you know, everybody's getting a little bit today. 33 00:01:52,200 --> 00:01:56,440 Speaker 4: We've got to also shout out this chilling line, Matt, 34 00:01:56,720 --> 00:01:59,520 Speaker 4: I always always defer to you a matrix knowledge. At 35 00:01:59,520 --> 00:02:02,840 Speaker 4: the very end of the matrix. We're talking about this 36 00:02:02,920 --> 00:02:06,640 Speaker 4: off air, the architect and Paul pointed out, there's a 37 00:02:06,640 --> 00:02:09,560 Speaker 4: good way to do the voice, but the architect is 38 00:02:09,639 --> 00:02:13,320 Speaker 4: speaking with Neo and says, you know, you're not in 39 00:02:13,360 --> 00:02:17,280 Speaker 4: the first version of the Matrix. The first one I 40 00:02:17,360 --> 00:02:21,679 Speaker 4: made was Paradise, and it was a monumental failure. I mean. 41 00:02:21,840 --> 00:02:24,880 Speaker 4: And then of course the Fallout series, right, you got 42 00:02:24,919 --> 00:02:27,000 Speaker 4: played the game to like that. 43 00:02:26,960 --> 00:02:31,200 Speaker 5: Show, well, even like the whole idea of the Vault 44 00:02:32,000 --> 00:02:35,280 Speaker 5: situation is in and of itself a utopia that is 45 00:02:35,320 --> 00:02:38,960 Speaker 5: going to lead to a greater utopia on Earth, but 46 00:02:39,120 --> 00:02:43,680 Speaker 5: only after complete and total annihilation. That's almost like a 47 00:02:43,720 --> 00:02:47,080 Speaker 5: prerequisite sometimes for a proper utopia. 48 00:02:47,200 --> 00:02:47,359 Speaker 3: Right. 49 00:02:47,639 --> 00:02:50,840 Speaker 2: Well, in like today's episode, each one of those vaults 50 00:02:51,080 --> 00:02:56,040 Speaker 2: is designed with some kind of experiment, like for utopia. 51 00:02:56,560 --> 00:03:00,239 Speaker 2: Could this be a utopia if these parameters are set. 52 00:03:00,600 --> 00:03:04,000 Speaker 4: If we tweak X, we change Y, we futsa Z, 53 00:03:04,960 --> 00:03:06,840 Speaker 4: we will build a more perfect world. 54 00:03:06,960 --> 00:03:07,160 Speaker 1: Yeah. 55 00:03:07,200 --> 00:03:10,720 Speaker 4: In tonight's episode, we're exploring the story of one man who, 56 00:03:10,880 --> 00:03:14,320 Speaker 4: depending on whom you ask, who sought to apply the 57 00:03:14,400 --> 00:03:16,800 Speaker 4: scientific method, just like you were saying, Matt to the 58 00:03:16,840 --> 00:03:21,080 Speaker 4: construction of civilization is a reasonable dude, he said, instead 59 00:03:21,120 --> 00:03:24,840 Speaker 4: of trying out rules on humans, instead of cooking live 60 00:03:24,960 --> 00:03:35,120 Speaker 4: with empires, what if we start with rodents? Here are 61 00:03:35,280 --> 00:03:39,520 Speaker 4: the facts. Let's start with a Tennessee boy named John 62 00:03:41,040 --> 00:03:47,480 Speaker 4: Bumpah or Bumpus Calhoun. That is his middle name. And 63 00:03:47,560 --> 00:03:50,840 Speaker 4: we had a discussion about being adults. 64 00:03:51,200 --> 00:03:52,360 Speaker 2: What if we spell it ben? 65 00:03:53,200 --> 00:03:57,560 Speaker 4: All right, Matt b U mp A s S. Let's 66 00:03:57,600 --> 00:03:59,360 Speaker 4: go to Nola because Noel wasn't here where we talked 67 00:03:59,400 --> 00:04:01,280 Speaker 4: about how would you pronounce this name? 68 00:04:01,520 --> 00:04:02,920 Speaker 3: It's what you do at the club, y'all? 69 00:04:03,080 --> 00:04:06,200 Speaker 2: You bump ass oh. 70 00:04:06,240 --> 00:04:08,760 Speaker 4: Another legacy of his work, Perhaps. 71 00:04:09,920 --> 00:04:11,200 Speaker 3: One can only imagine. 72 00:04:11,480 --> 00:04:16,400 Speaker 4: So this guy is a behavioral researcher. The fancy name 73 00:04:16,440 --> 00:04:22,320 Speaker 4: for his specific field is ethologist, not an ethnologist, not 74 00:04:22,520 --> 00:04:28,159 Speaker 4: an ethicist, but instead someone who studies the behavior of 75 00:04:28,279 --> 00:04:29,400 Speaker 4: non human animals. 76 00:04:29,760 --> 00:04:35,159 Speaker 2: Oh yes, and this person is highly influential. Let's say 77 00:04:35,760 --> 00:04:38,359 Speaker 2: we I think many, several of us, maybe all of us, 78 00:04:38,480 --> 00:04:40,719 Speaker 2: learned about him when stuff he should know kind of 79 00:04:40,720 --> 00:04:43,680 Speaker 2: like mentioned him way back in the day, almost ten 80 00:04:43,760 --> 00:04:47,680 Speaker 2: years ago, on an episode called how zero Population Growth Works. 81 00:04:48,000 --> 00:04:51,239 Speaker 4: Yeah, shout out, shout out to our pals Josh, Chuck 82 00:04:51,360 --> 00:04:57,400 Speaker 4: and Jerry zero population growth. It's still it's really interesting, 83 00:04:57,520 --> 00:04:59,640 Speaker 4: isn't it to go back and hear that episode. 84 00:04:59,760 --> 00:05:00,000 Speaker 1: Yeah? 85 00:05:00,040 --> 00:05:04,560 Speaker 2: Yeah, well I don't know, it just can't. Every once 86 00:05:04,560 --> 00:05:06,440 Speaker 2: in a while, I listened to s YSK again and 87 00:05:06,440 --> 00:05:08,000 Speaker 2: I'm like, oh man, I love this show. 88 00:05:08,800 --> 00:05:10,880 Speaker 3: They're lovely dudes. I think that was before my time. 89 00:05:11,040 --> 00:05:16,280 Speaker 5: But I'm assuming the zero population growth is some concept 90 00:05:16,400 --> 00:05:20,080 Speaker 5: involving eugenics or something, is it, or is it something 91 00:05:20,080 --> 00:05:23,440 Speaker 5: a little bit more less evil than that. 92 00:05:23,960 --> 00:05:28,800 Speaker 4: Goes into things like enthusiasm or enthusian thoughts. 93 00:05:28,720 --> 00:05:33,440 Speaker 5: The Georgia guidestones y type stuff, right, Yeah, yeah, to 94 00:05:33,520 --> 00:05:36,960 Speaker 5: this number Yeah, shout out to the Population Bomb. 95 00:05:37,200 --> 00:05:39,320 Speaker 4: That's a book that also changed the game. 96 00:05:40,120 --> 00:05:45,080 Speaker 2: Yeah, because it goes back to an early observation by 97 00:05:45,120 --> 00:05:52,800 Speaker 2: this the Malthusian originator Lord. Yeah, but the guy who said, hey, uh, 98 00:05:53,480 --> 00:05:57,800 Speaker 2: population of humans, it kind of grows exponentially, but the 99 00:05:57,839 --> 00:05:59,960 Speaker 2: amount of food that we're able to produce does say, 100 00:06:00,120 --> 00:06:02,960 Speaker 2: grow exponentially. It's just got kind of this nice little 101 00:06:03,920 --> 00:06:06,600 Speaker 2: line that does increase over time, but not at the 102 00:06:06,640 --> 00:06:07,159 Speaker 2: same rate. 103 00:06:07,800 --> 00:06:10,600 Speaker 4: Yeah, he looked at he looked at that the dreaded 104 00:06:10,760 --> 00:06:14,760 Speaker 4: X Y axis right, and said, there's an inflection point 105 00:06:15,200 --> 00:06:17,640 Speaker 4: upon which the S hits the F. And he wasn't 106 00:06:17,680 --> 00:06:19,440 Speaker 4: talking about San Francisco, but. 107 00:06:19,520 --> 00:06:22,080 Speaker 2: He but he thought he thought the S was going 108 00:06:22,120 --> 00:06:25,560 Speaker 2: to hit the F around the year like I don't know, 109 00:06:25,920 --> 00:06:27,360 Speaker 2: like before the year two thousand. 110 00:06:27,800 --> 00:06:29,160 Speaker 4: Oh yeah, yeah, yeah. 111 00:06:29,200 --> 00:06:32,680 Speaker 2: Josh Josh in that episode mentions that he thought, what 112 00:06:32,960 --> 00:06:36,240 Speaker 2: year two thousand is when London, like Britain for the 113 00:06:36,240 --> 00:06:38,719 Speaker 2: most part, would no longer exist because he will have 114 00:06:38,839 --> 00:06:39,840 Speaker 2: torn itself apart. 115 00:06:40,160 --> 00:06:44,360 Speaker 5: So this guy's essentially like an academic doom profit that guy, 116 00:06:44,480 --> 00:06:47,640 Speaker 5: Thomas Malthus, Yeah, yeah, and he's he's kind of more 117 00:06:48,000 --> 00:06:50,680 Speaker 5: in the realm of economics. Yeah, yeah, but there is 118 00:06:50,760 --> 00:06:56,880 Speaker 5: a underlying academic bent to his predictions. He's not just like, fully, 119 00:06:57,279 --> 00:06:59,560 Speaker 5: you know, I've had a vision and. 120 00:06:59,440 --> 00:07:03,200 Speaker 4: This is what Yeah, he didn't think God told him, gotcha. Yeah, 121 00:07:04,800 --> 00:07:08,000 Speaker 4: he thought it was based on quantitative research and trends 122 00:07:08,080 --> 00:07:11,160 Speaker 4: as he saw him at the time, tatas mouthus Uh, 123 00:07:11,320 --> 00:07:13,040 Speaker 4: you know him, you know him. 124 00:07:13,680 --> 00:07:14,960 Speaker 3: Enthusiastic about it too. 125 00:07:15,280 --> 00:07:17,840 Speaker 4: Yeah, if you're having a good day and the day's 126 00:07:17,880 --> 00:07:20,320 Speaker 4: too good, check out some of his work. 127 00:07:20,880 --> 00:07:22,640 Speaker 5: But back to use that as a term, right, if 128 00:07:22,680 --> 00:07:25,360 Speaker 5: you're mouth Susian, then you're sort of like a naysayer 129 00:07:25,520 --> 00:07:26,480 Speaker 5: kind of right or. 130 00:07:26,800 --> 00:07:31,280 Speaker 4: Yes, yeah, well they wouldn't call themselves naysayers. They will 131 00:07:31,320 --> 00:07:35,280 Speaker 4: call themselves realist, which is what most pessimistic people do. 132 00:07:35,520 --> 00:07:39,800 Speaker 4: There you go, I'm shrugging everybody an audio podcast. Uh 133 00:07:39,920 --> 00:07:43,559 Speaker 4: so this back to our guy dot Calhoun. The first 134 00:07:43,560 --> 00:07:46,280 Speaker 4: thing we have to understand about his studies is they're 135 00:07:46,480 --> 00:07:51,720 Speaker 4: often mischaracterized with the idea like you'll read about it 136 00:07:51,760 --> 00:07:55,680 Speaker 4: in pop science or whatever, and the idea is presented 137 00:07:55,720 --> 00:08:00,480 Speaker 4: as though Calhoun attempted to construct a perfect society for 138 00:08:00,600 --> 00:08:05,080 Speaker 4: various rodents and from there figure out how to create 139 00:08:05,080 --> 00:08:09,240 Speaker 4: a better society for humans. This isn't really the case. 140 00:08:09,360 --> 00:08:12,760 Speaker 4: What he actually did is remove a lot of the 141 00:08:12,880 --> 00:08:20,160 Speaker 4: usual population constraint variables or the mortality creators, because it 142 00:08:20,240 --> 00:08:25,520 Speaker 4: wasn't because he wanted a paradise really for rodents. He 143 00:08:25,640 --> 00:08:29,760 Speaker 4: was interested instead in the effects of proximity and population 144 00:08:30,200 --> 00:08:34,200 Speaker 4: overpopulation in particular sout out in malthews. Maybe we learn 145 00:08:34,280 --> 00:08:36,600 Speaker 4: a little bit about him because I didn't know this. 146 00:08:36,760 --> 00:08:40,040 Speaker 4: He taught at Emory University, just up the road from US. 147 00:08:40,160 --> 00:08:45,520 Speaker 5: Indeed, a graduate of Northwestern, he did teach at Emory 148 00:08:45,559 --> 00:08:49,080 Speaker 5: as well as Ohio State, and then he moved with 149 00:08:49,120 --> 00:08:52,880 Speaker 5: his wife to Maryland, where he settled down at Johns 150 00:08:52,920 --> 00:08:56,520 Speaker 5: Hopkins in March of nineteen forty seven, where he began 151 00:08:56,600 --> 00:09:00,800 Speaker 5: a twenty eight month study of a colony of Norwegian 152 00:09:01,160 --> 00:09:06,480 Speaker 5: rats in a ten thousand square foot enclosure kind of 153 00:09:06,480 --> 00:09:08,600 Speaker 5: sounds like a bit of a barn, you know, an 154 00:09:08,640 --> 00:09:13,240 Speaker 5: out outbuilding kind of situation. There were five females in 155 00:09:13,280 --> 00:09:17,400 Speaker 5: this cohort that, over the time span, were theoretically able 156 00:09:17,440 --> 00:09:22,520 Speaker 5: to produce five thousand healthy offspring for this particular size enclosure, 157 00:09:23,280 --> 00:09:26,880 Speaker 5: and Calhoun found that the population never exceeded two hundred 158 00:09:27,200 --> 00:09:31,400 Speaker 5: individuals and eventually stabilized at one fifty. 159 00:09:31,880 --> 00:09:35,079 Speaker 2: Just really quick brown Norway rats. If you want to 160 00:09:35,200 --> 00:09:39,560 Speaker 2: buy them, a male at three weeks old costs one 161 00:09:39,600 --> 00:09:42,240 Speaker 2: hundred and nine dollars and twenty nine cents. A female 162 00:09:42,400 --> 00:09:45,880 Speaker 2: costs one one hundred and eleven dollars and three cents. 163 00:09:45,960 --> 00:09:47,079 Speaker 3: Just a pricey rat. 164 00:09:47,280 --> 00:09:49,320 Speaker 4: Shout out secret of nim isn't it? 165 00:09:49,360 --> 00:09:49,960 Speaker 3: Wouldn't you say? 166 00:09:49,960 --> 00:09:52,400 Speaker 5: That's I would think I would all have thought that 167 00:09:52,559 --> 00:09:54,760 Speaker 5: rats would be typically less expensive than that. 168 00:09:54,960 --> 00:09:57,319 Speaker 4: I mean, you can catch them for free, that's true. 169 00:09:57,640 --> 00:10:01,720 Speaker 2: Well, and that's twenty four numbers. We're talking nineteen forty seven. 170 00:10:01,800 --> 00:10:04,880 Speaker 4: So yeah, it was given rats away at that point. 171 00:10:04,679 --> 00:10:08,120 Speaker 2: Right, Well, well it should be noted when we're thinking 172 00:10:08,120 --> 00:10:11,240 Speaker 2: about these rats. These are like control rats, right. They 173 00:10:11,240 --> 00:10:15,200 Speaker 2: are designed to be almost identical, so that when you 174 00:10:15,280 --> 00:10:18,400 Speaker 2: test one like a variable with one and another as 175 00:10:18,400 --> 00:10:21,120 Speaker 2: a control, you're actually going to be able to test 176 00:10:21,160 --> 00:10:23,680 Speaker 2: that variable without any other intervening variables. 177 00:10:23,960 --> 00:10:28,360 Speaker 4: Yeah, because they're bread to Like you said, they're bred 178 00:10:28,360 --> 00:10:33,120 Speaker 4: to be relatively homogeneous, right, not to the point where 179 00:10:33,520 --> 00:10:37,559 Speaker 4: they will become quickly incestuous. But they're also more importantly 180 00:10:37,640 --> 00:10:42,520 Speaker 4: bred to not have prominent genetic defects or susceptibility to 181 00:10:42,559 --> 00:10:48,600 Speaker 4: certain diseases, and they're kind of same, samey. I also 182 00:10:48,640 --> 00:10:51,560 Speaker 4: want to shout out rat intelligence. There's a book that 183 00:10:51,640 --> 00:10:56,600 Speaker 4: are pal Robert Lamb and I really love called Rats 184 00:10:56,760 --> 00:11:00,320 Speaker 4: Observations on the History and Habitat of the City These 185 00:11:00,440 --> 00:11:03,680 Speaker 4: most Unwanted Inhabitants, and it focuses on rats in New 186 00:11:03,760 --> 00:11:07,400 Speaker 4: York and it's amazing. It's a really weird read. They 187 00:11:07,440 --> 00:11:11,880 Speaker 4: have huge balls, by the way, rats huge balls literally 188 00:11:11,960 --> 00:11:14,720 Speaker 4: and figured yeah. 189 00:11:14,200 --> 00:11:16,760 Speaker 2: Speaking of and also not speaking of, just one one 190 00:11:16,800 --> 00:11:20,200 Speaker 2: more statistic here with brown Norway rats from this specific 191 00:11:20,280 --> 00:11:23,280 Speaker 2: catalog that I'm looking at, you can get a lactating 192 00:11:23,360 --> 00:11:28,600 Speaker 2: rat with litter for six hundred and ninety three ten cents. 193 00:11:28,679 --> 00:11:31,520 Speaker 2: That is it again, litter is that I don't know, 194 00:11:31,559 --> 00:11:33,280 Speaker 2: but it's a Brown Norway rat. 195 00:11:33,360 --> 00:11:36,600 Speaker 3: It's you try rat milk. Just wondering. 196 00:11:36,720 --> 00:11:39,560 Speaker 2: Well, I guess what I'm saying is for these types 197 00:11:39,600 --> 00:11:43,480 Speaker 2: of tests you can get very specific with the kind 198 00:11:43,520 --> 00:11:46,360 Speaker 2: of rat, be like what state that rat is in, 199 00:11:46,440 --> 00:11:48,840 Speaker 2: how many weeks all that rat is, if it's already 200 00:11:49,000 --> 00:11:51,720 Speaker 2: no longer breeding, it's it's just crazy. 201 00:11:52,400 --> 00:11:58,320 Speaker 4: So it's speaking weird stuff right. The technology is not 202 00:11:58,520 --> 00:12:03,079 Speaker 4: here yet for Calhoun to scope in to this level, 203 00:12:03,120 --> 00:12:06,760 Speaker 4: to twenty twenty four level of rat eugenics, for lack 204 00:12:06,800 --> 00:12:10,679 Speaker 4: of a better term, But he finds something mysterious and 205 00:12:10,720 --> 00:12:13,840 Speaker 4: it haunts the world today. Like you were saying, no, 206 00:12:14,480 --> 00:12:20,240 Speaker 4: this enclosure could theoretically house safely five thousand rats in 207 00:12:20,280 --> 00:12:25,120 Speaker 4: this population, but it stabilizes at one point fifty, just 208 00:12:25,160 --> 00:12:27,520 Speaker 4: one hundred and fifty rats, So we ask what gives. 209 00:12:27,559 --> 00:12:31,760 Speaker 4: He also notices these rats are not forming a little 210 00:12:31,840 --> 00:12:37,079 Speaker 4: rat nation state. Instead, they're splitting up into colonies the 211 00:12:37,160 --> 00:12:40,240 Speaker 4: size into colonies of about a dozen, which is the 212 00:12:40,320 --> 00:12:44,120 Speaker 4: size that would naturally occur in the wild before these 213 00:12:44,160 --> 00:12:49,600 Speaker 4: different mortality variables kicked in predators, disease, lack of food, 214 00:12:49,720 --> 00:12:55,040 Speaker 4: et cetera. And he's thinking, well, why I took away 215 00:12:55,080 --> 00:12:58,760 Speaker 4: all the stresses. You know, literally they are living the 216 00:12:58,760 --> 00:13:02,319 Speaker 4: best life. They're just in a cage despite all their rage, 217 00:13:02,720 --> 00:13:07,960 Speaker 4: and later he stopped. Later he moves to Maine and 218 00:13:08,000 --> 00:13:12,960 Speaker 4: he continues to study these Norway rats until about nineteen 219 00:13:13,040 --> 00:13:15,920 Speaker 4: fifty one. Eventually the family goes back to Maryland. His 220 00:13:15,960 --> 00:13:20,079 Speaker 4: studies continue. He moves into other rodents. We're going to 221 00:13:20,160 --> 00:13:23,440 Speaker 4: mention an outfit called the National Institute of Mental Health. 222 00:13:24,200 --> 00:13:29,360 Speaker 4: Pretty often it is indeed the secret of NIM. And indeed, 223 00:13:29,640 --> 00:13:32,719 Speaker 4: what film It's true. I didn't get it when I just. 224 00:13:32,679 --> 00:13:35,199 Speaker 3: Saw the film. Yeah, oh yeah, yeah, yeah, it's exact. 225 00:13:36,640 --> 00:13:42,600 Speaker 4: So he did. NIM gets some land outside of a 226 00:13:42,600 --> 00:13:48,600 Speaker 4: town called Poolsville, Maryland, and he headed a couple of projects. 227 00:13:48,600 --> 00:13:49,000 Speaker 3: There. 228 00:13:49,080 --> 00:13:52,880 Speaker 4: He began his most famous series of experiments, not on 229 00:13:52,920 --> 00:13:56,720 Speaker 4: the rats, but on mice. And he built these different 230 00:13:57,360 --> 00:14:02,160 Speaker 4: fallout vaults for mice, and he called them, in a 231 00:14:02,200 --> 00:14:06,959 Speaker 4: burst of humility universes, and it's a high fluted name, 232 00:14:07,200 --> 00:14:10,600 Speaker 4: but besides is astonishing. He they wanted to see what 233 00:14:10,679 --> 00:14:14,920 Speaker 4: happened when rodents lived without the stresses of life in 234 00:14:14,960 --> 00:14:20,560 Speaker 4: the wild. Limitless food, limitless water, I kid you not 235 00:14:20,960 --> 00:14:23,560 Speaker 4: little rat condos, little mouse condos. 236 00:14:23,720 --> 00:14:29,120 Speaker 2: Well, imagine this is this enclosure. And remember the first 237 00:14:29,160 --> 00:14:31,480 Speaker 2: one that when he was testing earlier, he had this 238 00:14:31,640 --> 00:14:34,600 Speaker 2: huge ten thousand square foot area where he's watching all 239 00:14:34,600 --> 00:14:37,480 Speaker 2: the different mice kind of grouping off like that. He 240 00:14:37,560 --> 00:14:41,320 Speaker 2: wanted to see them in these much smaller little spaces, right, 241 00:14:41,360 --> 00:14:44,600 Speaker 2: as you said, with limitless resources. But if you imagine 242 00:14:44,720 --> 00:14:49,080 Speaker 2: the starter mice right, that began in that quote universe 243 00:14:49,120 --> 00:14:52,560 Speaker 2: that he created. All of the preceding mice that are 244 00:14:52,600 --> 00:14:57,880 Speaker 2: born from those original mice only know that thing, that 245 00:14:58,040 --> 00:15:01,760 Speaker 2: enclosure that has the walls up that they can't climb over, right, 246 00:15:01,960 --> 00:15:05,680 Speaker 2: So it really is the entirety of their universe. 247 00:15:06,080 --> 00:15:09,520 Speaker 4: They've never been outside of Plato's cavern, you know what 248 00:15:09,520 --> 00:15:11,920 Speaker 4: I mean. They're still plugged into the matrix from the 249 00:15:11,960 --> 00:15:15,120 Speaker 4: cradle to the grave. That's the excellent observation. And these 250 00:15:15,160 --> 00:15:18,240 Speaker 4: were all This was all again not because the guy 251 00:15:18,320 --> 00:15:22,040 Speaker 4: loves happy rats and happy mice. He wants to learn 252 00:15:22,040 --> 00:15:26,400 Speaker 4: about population density and how it affects behavior. So he says, 253 00:15:26,600 --> 00:15:30,120 Speaker 4: I will build for the utopia. What could go wrong? 254 00:15:30,640 --> 00:15:34,240 Speaker 4: Pretty much everything. This is the story of Universe twenty five. 255 00:15:34,880 --> 00:15:42,800 Speaker 4: We'll get into it after a word from our sponsors. 256 00:15:43,840 --> 00:15:47,280 Speaker 4: Here's where it gets crazy. Let's go back to this 257 00:15:48,120 --> 00:15:51,360 Speaker 4: really interesting thing that you said at the top, Noll, 258 00:15:51,720 --> 00:15:56,040 Speaker 4: the concept of utopia. You said, well, it always feels 259 00:15:56,040 --> 00:16:01,400 Speaker 4: like it becomes a dystopia. It's so weird because back 260 00:16:01,440 --> 00:16:05,240 Speaker 4: in fifteen sixteen, the word was coined as a kind 261 00:16:05,280 --> 00:16:06,800 Speaker 4: of like snarky, mean. 262 00:16:06,680 --> 00:16:11,120 Speaker 5: Joke, like a thing that's not attainable almost right, like 263 00:16:11,320 --> 00:16:16,200 Speaker 5: it's it's impossible. It was coined by Sir Thomas Moore 264 00:16:16,600 --> 00:16:20,120 Speaker 5: in fifteen sixty. He created the word from the Greek 265 00:16:20,160 --> 00:16:26,280 Speaker 5: words for not and place, u for not and topos 266 00:16:26,320 --> 00:16:31,280 Speaker 5: for place, so it meant nowhere. It's a liminal space. 267 00:16:31,360 --> 00:16:34,160 Speaker 5: It's a non existent thing. So before the dawn of 268 00:16:34,240 --> 00:16:37,040 Speaker 5: monern science, the guy who coined the word that we 269 00:16:37,240 --> 00:16:40,920 Speaker 5: use to describe a perfect society was literally thumbing his 270 00:16:40,960 --> 00:16:47,000 Speaker 5: nose at the concept in its entirety. But pretty funny, guys, 271 00:16:47,240 --> 00:16:48,440 Speaker 5: You guys, what if he's. 272 00:16:48,280 --> 00:16:52,000 Speaker 2: Really talking about that infinite nothingness that we all experience 273 00:16:52,120 --> 00:16:54,720 Speaker 2: upon the moment of death, before the light of everything 274 00:16:54,760 --> 00:16:55,800 Speaker 2: comes to gather us. 275 00:16:55,880 --> 00:16:59,000 Speaker 3: You know what I'm saying. It all ends into infinity. 276 00:16:59,080 --> 00:17:01,280 Speaker 4: When you write an email into the void here and 277 00:17:01,320 --> 00:17:02,800 Speaker 4: sometimes the void writes back. 278 00:17:02,960 --> 00:17:07,160 Speaker 5: Yeah, I mean sometimes you get a subsystem undeliverable. 279 00:17:06,440 --> 00:17:09,320 Speaker 3: Message back as well. Maybe he really is a good thing, 280 00:17:09,359 --> 00:17:10,320 Speaker 3: as what I'm saying. 281 00:17:10,119 --> 00:17:16,520 Speaker 4: Guys, welcome to the emptiness. Charlco's experiments seemed in a 282 00:17:16,520 --> 00:17:19,480 Speaker 4: weird way to bear out Moore's joke, and we don't 283 00:17:19,520 --> 00:17:22,960 Speaker 4: know what he thought about the work of Sir Thomas Moore. 284 00:17:23,280 --> 00:17:28,280 Speaker 4: But from these rats he moved on. He couldn't always 285 00:17:28,280 --> 00:17:30,679 Speaker 4: call him Universes, so that was very fun, and we'll 286 00:17:30,720 --> 00:17:35,159 Speaker 4: see he loves fun language. He originally called the The 287 00:17:35,200 --> 00:17:42,760 Speaker 4: Mice Experiments Mortality Inhibiting Environment for mice. And like you 288 00:17:42,800 --> 00:17:47,000 Speaker 4: were saying, it's July of nineteen sixty eight when he 289 00:17:47,119 --> 00:17:54,040 Speaker 4: introduces a breeding group such that it could avoid inbreeding 290 00:17:54,520 --> 00:17:59,520 Speaker 4: into a new habitat called Universe twenty five. And you know, 291 00:17:59,640 --> 00:18:02,639 Speaker 4: again we're saying Universe is a little bit ambitious for 292 00:18:02,680 --> 00:18:04,679 Speaker 4: this one because it's not super big. 293 00:18:05,320 --> 00:18:07,480 Speaker 5: Yeah, and I'm sure I Fallt was inspired by a 294 00:18:07,520 --> 00:18:10,040 Speaker 5: lot of things, Like there's there's so many examples of 295 00:18:10,080 --> 00:18:13,840 Speaker 5: these types of isolated communities and experiments, whether they be 296 00:18:13,880 --> 00:18:18,639 Speaker 5: with animals or you know, prison experiments or whatever. But 297 00:18:18,720 --> 00:18:22,119 Speaker 5: I can't help but think Universe twenty five vault one 298 00:18:22,160 --> 00:18:24,200 Speaker 5: to eleven, you know what I mean, Like it really 299 00:18:24,240 --> 00:18:27,240 Speaker 5: does have a nice connective tissue. 300 00:18:27,560 --> 00:18:27,879 Speaker 3: Yeah. 301 00:18:27,920 --> 00:18:30,360 Speaker 2: Well, again, as we said before, he went from ten 302 00:18:30,480 --> 00:18:34,960 Speaker 2: thousand square feet in nineteen forty seven to nine square 303 00:18:34,960 --> 00:18:36,600 Speaker 2: feet of metal. 304 00:18:37,200 --> 00:18:43,000 Speaker 4: Makes yeah, it is much smaller. But again, as you 305 00:18:43,080 --> 00:18:46,600 Speaker 4: pointed out, so astuteley, the mice evolved don't know this. 306 00:18:47,119 --> 00:18:51,720 Speaker 4: Their kids, their progenies certainly will never know this nine 307 00:18:51,760 --> 00:18:56,040 Speaker 4: foot square it's a metal pan. The sides are about 308 00:18:56,119 --> 00:19:00,399 Speaker 4: four point five feet high, which is not really a 309 00:19:00,480 --> 00:19:03,600 Speaker 4: huge problem for rats depending on the surface, but it's 310 00:19:03,680 --> 00:19:08,040 Speaker 4: pretty difficult for mice yes, to summit that well. 311 00:19:08,080 --> 00:19:11,040 Speaker 2: And I think it's the top seventeen inches if you've 312 00:19:11,040 --> 00:19:13,760 Speaker 2: imagined from the height top of this thing down seventeen 313 00:19:13,760 --> 00:19:17,960 Speaker 2: inches is like just bare wall that is very difficult 314 00:19:17,960 --> 00:19:18,479 Speaker 2: to scale. 315 00:19:18,840 --> 00:19:21,080 Speaker 4: So you can climb up a little bit right to 316 00:19:21,080 --> 00:19:22,639 Speaker 4: get to your mouse condo. 317 00:19:22,800 --> 00:19:24,960 Speaker 2: Yeah, it's designed that way right to go up to 318 00:19:25,040 --> 00:19:27,800 Speaker 2: the condos, which is weird. 319 00:19:28,400 --> 00:19:33,119 Speaker 4: Yeah, nesting boxes, food hoppers, water dispensers. It is like 320 00:19:34,720 --> 00:19:38,200 Speaker 4: it is like a mouse episode of Cribs. To date 321 00:19:38,240 --> 00:19:45,040 Speaker 4: ourselves with MTV references, and there were no predators obviously. 322 00:19:45,400 --> 00:19:51,040 Speaker 4: There's just this benevolent yet distant human thing that functions 323 00:19:51,080 --> 00:19:54,160 Speaker 4: as God for these guys. Every four to eight weeks 324 00:19:54,520 --> 00:19:58,159 Speaker 4: they get hit with their equivalent of you know, a 325 00:19:58,240 --> 00:20:02,320 Speaker 4: natural disaster, a climate this event, because that's when the 326 00:20:02,440 --> 00:20:06,120 Speaker 4: enclosure is cleaned, you know what I mean. So maybe 327 00:20:06,200 --> 00:20:08,560 Speaker 4: and we don't know, if we don't know enough about 328 00:20:09,440 --> 00:20:12,600 Speaker 4: their cognition to know whether this became a story they 329 00:20:12,640 --> 00:20:13,720 Speaker 4: told each other about. 330 00:20:14,119 --> 00:20:14,320 Speaker 3: Right. 331 00:20:14,359 --> 00:20:18,000 Speaker 4: We also don't know whether they could predict the coming 332 00:20:18,040 --> 00:20:19,080 Speaker 4: of the cleaning. 333 00:20:19,200 --> 00:20:23,360 Speaker 3: Oh, plow the. 334 00:20:23,400 --> 00:20:26,800 Speaker 2: Plow because it did have to be cleaned out on 335 00:20:26,840 --> 00:20:29,199 Speaker 2: a regular basis, right, I mean that was one of 336 00:20:29,200 --> 00:20:29,679 Speaker 2: the things. 337 00:20:30,040 --> 00:20:32,920 Speaker 4: Yeah, there's still I mean they're like the top tier 338 00:20:33,480 --> 00:20:36,280 Speaker 4: lap mice, but they still poop. We haven't figured out 339 00:20:36,320 --> 00:20:37,520 Speaker 4: how to make mice not poop. 340 00:20:37,760 --> 00:20:40,679 Speaker 5: Do you think that like mice in this kind of 341 00:20:40,720 --> 00:20:46,199 Speaker 5: situation have a sense of what's going on outside, you know, 342 00:20:46,440 --> 00:20:48,239 Speaker 5: or like do they do they look at I know, 343 00:20:48,320 --> 00:20:51,600 Speaker 5: I know we couldn't possibly you know, get inside the 344 00:20:51,600 --> 00:20:55,040 Speaker 5: head or try to simulate the cognition of rats, but 345 00:20:55,440 --> 00:20:58,400 Speaker 5: like these these forces that come in and remove them 346 00:20:58,400 --> 00:21:00,280 Speaker 5: and clean them and then put them back, you think 347 00:21:00,280 --> 00:21:03,000 Speaker 5: they look at them as like godlike forces, you know, 348 00:21:03,080 --> 00:21:05,560 Speaker 5: I don't know, alien abductions. 349 00:21:05,119 --> 00:21:08,199 Speaker 2: It'd be, yeah, some kind of weird part of just 350 00:21:08,640 --> 00:21:13,280 Speaker 2: aspect of the universe that happens. But there's no human. 351 00:21:13,400 --> 00:21:16,000 Speaker 2: You're not actually interacting with the human at any time 352 00:21:16,040 --> 00:21:19,720 Speaker 2: whose arms are coming down and cleaning things, right, Yeah, 353 00:21:20,000 --> 00:21:24,880 Speaker 2: it's just these disembodied limbs that descend into your world 354 00:21:25,000 --> 00:21:29,439 Speaker 2: and then you know, wipe off the surfaces or whatever. 355 00:21:29,680 --> 00:21:32,800 Speaker 4: They probably recognize smells, I'm thinking, but to your point, 356 00:21:32,840 --> 00:21:36,040 Speaker 4: it's probably just a thing in their environment. I do 357 00:21:36,160 --> 00:21:41,520 Speaker 4: imagine they are intelligent enough to envision something past the wall, right, 358 00:21:41,560 --> 00:21:46,960 Speaker 4: because they are naturally exploring creatures, right, so they without 359 00:21:47,119 --> 00:21:52,320 Speaker 4: knowing what is out there. They many of them attempted 360 00:21:52,359 --> 00:21:55,639 Speaker 4: to escape at some point, especially if stuff did not 361 00:21:55,800 --> 00:22:00,520 Speaker 4: work out as mouse society collapsed, which is exactly what happened. 362 00:22:00,520 --> 00:22:04,720 Speaker 4: The only obstacle in Universe twenty five and the preceding 363 00:22:04,760 --> 00:22:08,119 Speaker 4: experiments was space. So you got these eight mice in 364 00:22:08,200 --> 00:22:12,640 Speaker 4: this enclosure. At first, their vault is huge. It's designed 365 00:22:12,640 --> 00:22:16,480 Speaker 4: to hold as many as people round up to four thousand. 366 00:22:16,560 --> 00:22:18,560 Speaker 4: But I think of the original research it was something 367 00:22:18,640 --> 00:22:22,720 Speaker 4: like three and forty mice, which is a lot of mice. 368 00:22:23,400 --> 00:22:25,040 Speaker 2: Well, and it took them a long time to get 369 00:22:25,080 --> 00:22:29,439 Speaker 2: acclimated to that space too, right, those original eight mice, 370 00:22:29,880 --> 00:22:33,399 Speaker 2: the four breeding pairs, they like, didn't breed for a 371 00:22:33,400 --> 00:22:35,320 Speaker 2: long time. They were just kind of like, what the 372 00:22:35,359 --> 00:22:38,280 Speaker 2: heck is this place? I don't understand this, this is wrong, 373 00:22:38,760 --> 00:22:41,240 Speaker 2: why are we here? And then eventually they just gave 374 00:22:41,320 --> 00:22:45,200 Speaker 2: in and or you know whatever, they whatever change occurred 375 00:22:45,280 --> 00:22:47,920 Speaker 2: cognitively that they went, okay, we will begin nesting, we 376 00:22:47,960 --> 00:22:48,840 Speaker 2: will begin breeding. 377 00:22:49,160 --> 00:22:52,280 Speaker 4: It was better than the breeding pens from which they originated. 378 00:22:52,480 --> 00:22:54,720 Speaker 4: I can only imagine it's definitely a lot more room 379 00:22:55,200 --> 00:22:57,280 Speaker 4: because they weren't caught in the wild. 380 00:22:57,040 --> 00:22:59,520 Speaker 2: Right exactly, But it did take one hundred and four 381 00:22:59,600 --> 00:23:02,800 Speaker 2: days before they actually settled down to reproduce. 382 00:23:04,000 --> 00:23:09,439 Speaker 4: And when the population began reproducing, they were doubling every 383 00:23:09,600 --> 00:23:13,040 Speaker 4: fifty five days. So this j curve growth for a while. 384 00:23:13,440 --> 00:23:18,920 Speaker 4: And by day three fifteen, so we're not quite a 385 00:23:19,040 --> 00:23:24,720 Speaker 4: year in the population has reached six hundred and twenty mice, gangbusters, 386 00:23:24,840 --> 00:23:29,199 Speaker 4: tickety boo. Everything's going well. Until around day three fifteen. 387 00:23:29,280 --> 00:23:32,879 Speaker 4: It was like some invisible switch just clicked and the 388 00:23:32,920 --> 00:23:37,120 Speaker 4: population growth, the rate of growth, not the actual population. 389 00:23:37,200 --> 00:23:40,760 Speaker 4: Yet the rate of growth declined and now it was 390 00:23:40,800 --> 00:23:44,080 Speaker 4: only doubling every one hundred and forty five days instead 391 00:23:44,119 --> 00:23:48,000 Speaker 4: of every fifty five days. And with that, in step, 392 00:23:48,560 --> 00:23:52,880 Speaker 4: the social structure broke down. There's a great article by 393 00:23:53,600 --> 00:23:58,359 Speaker 4: writer Esther inglis Arcu for Io nine or Gizmoto now 394 00:23:58,680 --> 00:24:01,680 Speaker 4: that sums it up and it's pretty crazy. 395 00:24:01,400 --> 00:24:05,280 Speaker 5: Yeah, to read from that piece. At the peak population, 396 00:24:05,680 --> 00:24:08,320 Speaker 5: most mice spent every living second in the company of 397 00:24:08,400 --> 00:24:11,280 Speaker 5: hundreds of other mice. They gathered in the main squares, 398 00:24:11,320 --> 00:24:14,720 Speaker 5: waiting to be fed and occasionally attacking each other. Few 399 00:24:14,800 --> 00:24:18,080 Speaker 5: females carried pregnancies to term, and the ones that did 400 00:24:18,119 --> 00:24:21,840 Speaker 5: seem to simply forget about their babies. They'd move half 401 00:24:21,920 --> 00:24:24,800 Speaker 5: their litter away from danger and forget the rest. 402 00:24:25,600 --> 00:24:26,240 Speaker 3: Huh. 403 00:24:26,400 --> 00:24:30,040 Speaker 5: Sometimes they'd drop and abandon a baby while they were 404 00:24:30,200 --> 00:24:34,120 Speaker 5: carrying it. Guy, guys, are you familiar with the concept 405 00:24:34,160 --> 00:24:38,159 Speaker 5: of nesting behavior? Yes, this is this kind of figure 406 00:24:38,200 --> 00:24:40,719 Speaker 5: into that in a way like I mean, I don't know, 407 00:24:40,760 --> 00:24:45,040 Speaker 5: like this is maybe anomalous nesting behavior, or I guess 408 00:24:45,040 --> 00:24:47,600 Speaker 5: it's a situation that once it kind of balloons beyond 409 00:24:47,640 --> 00:24:52,560 Speaker 5: a certain point like that that I guess, uh, motherly 410 00:24:52,720 --> 00:24:55,880 Speaker 5: drive kind of gets weaker. 411 00:24:55,560 --> 00:24:58,600 Speaker 3: Or something like what is this? What's what's going on here? 412 00:24:59,040 --> 00:25:04,040 Speaker 2: I would point people to Population Density and Social Pathology, 413 00:25:04,080 --> 00:25:07,480 Speaker 2: which was written by mister John Calhoun, and he actually 414 00:25:07,520 --> 00:25:10,320 Speaker 2: has in this you can find it online, by the way, 415 00:25:10,359 --> 00:25:16,240 Speaker 2: as in PDA form. He's got illustrations basically of what 416 00:25:16,880 --> 00:25:20,639 Speaker 2: you're talking about nol like the typical nesting behavior of 417 00:25:21,080 --> 00:25:24,120 Speaker 2: mice in a population like this, how they build their nest, 418 00:25:24,200 --> 00:25:26,280 Speaker 2: what they do, you know, when they're in an enclosed 419 00:25:26,320 --> 00:25:28,480 Speaker 2: space and they've got the family in there, and they 420 00:25:28,800 --> 00:25:32,000 Speaker 2: you know, get all of the materials and arrange it 421 00:25:32,040 --> 00:25:34,119 Speaker 2: in such a way that the mice can kind of gather. 422 00:25:35,200 --> 00:25:39,320 Speaker 2: But then what was happening then where it was completely different. 423 00:25:39,680 --> 00:25:43,040 Speaker 5: Well, and a lot of nesting behavior too, involves protecting 424 00:25:43,080 --> 00:25:46,240 Speaker 5: the offspring from predators. So when you're in a situation 425 00:25:46,680 --> 00:25:49,679 Speaker 5: where you don't have any natural enemies, you know, I 426 00:25:49,760 --> 00:25:52,960 Speaker 5: wonder if that kind of freaks it out a little 427 00:25:52,960 --> 00:25:55,360 Speaker 5: better and it causes a little bit of the change 428 00:25:55,600 --> 00:25:57,520 Speaker 5: in the way these processes happen. 429 00:25:58,359 --> 00:26:02,760 Speaker 4: It gets even creepier and at a precipitous rate. And 430 00:26:02,800 --> 00:26:05,160 Speaker 4: we'll get to we'll get to the paper that kind 431 00:26:05,200 --> 00:26:10,280 Speaker 4: of changed popular science. Really we should also mention just 432 00:26:10,320 --> 00:26:13,240 Speaker 4: an example of what I think is a little bit creepy. 433 00:26:13,800 --> 00:26:19,160 Speaker 4: Calhoun was also particularly interested in a subgroup of rodents 434 00:26:19,760 --> 00:26:26,000 Speaker 4: that appeared inevitably in these universes. He called them, tell 435 00:26:26,040 --> 00:26:28,639 Speaker 4: me if you think this is creepy, folks. He called 436 00:26:28,680 --> 00:26:33,560 Speaker 4: them the beautiful ones. They're like the eloy in H. G. 437 00:26:33,720 --> 00:26:36,800 Speaker 4: Wells is the time machine, remember the time machine? Like 438 00:26:36,840 --> 00:26:42,840 Speaker 4: the surface dwelling vegetarians. It's not a perfect comparison because 439 00:26:42,840 --> 00:26:47,359 Speaker 4: the eloi obviously reproduce, but the beautiful ones do not. 440 00:26:48,040 --> 00:26:52,800 Speaker 4: They got like they post one male, one male rodent 441 00:26:52,880 --> 00:26:58,960 Speaker 4: outside and then the rest retreat into a secluded nesting 442 00:26:59,040 --> 00:27:03,440 Speaker 4: spot in the habitat, usually elevated, I think, and they 443 00:27:04,480 --> 00:27:10,600 Speaker 4: just eat, groom themselves and sleep. They don't fight, they 444 00:27:10,600 --> 00:27:14,520 Speaker 4: don't care for they're young. They don't reproduce their immune 445 00:27:14,960 --> 00:27:18,440 Speaker 4: in a way to the social collapse that occurs, which 446 00:27:18,480 --> 00:27:19,119 Speaker 4: is so weird. 447 00:27:20,600 --> 00:27:21,520 Speaker 2: So way they would do that. 448 00:27:22,600 --> 00:27:24,720 Speaker 4: Yeah, they just checked out. It reminds me a little 449 00:27:24,720 --> 00:27:29,920 Speaker 4: bit of was it in Japan, Hikiko Mori or there's 450 00:27:29,920 --> 00:27:32,800 Speaker 4: some other country. I think it's China, where there's a 451 00:27:32,840 --> 00:27:35,159 Speaker 4: group of people who have done what they call the 452 00:27:35,240 --> 00:27:38,639 Speaker 4: lay down movement. They just check out a society. I 453 00:27:38,720 --> 00:27:42,359 Speaker 4: think it's too stressful. I'll do the bare minimum. But 454 00:27:43,440 --> 00:27:46,159 Speaker 4: is that better than what's happening to the rest of 455 00:27:46,200 --> 00:27:51,600 Speaker 4: the road in population wherein there's cannibalism, there's hyper non 456 00:27:51,680 --> 00:27:55,920 Speaker 4: consensual pan sexualism, and there's random violence. 457 00:27:55,760 --> 00:28:00,240 Speaker 2: Yeah, in a roughly ninety six percent mortality rate or 458 00:28:00,280 --> 00:28:01,240 Speaker 2: newly born mice. 459 00:28:02,080 --> 00:28:06,440 Speaker 4: Yes, yeah, The last surviving mouse in Universe twenty five 460 00:28:06,560 --> 00:28:10,920 Speaker 4: is born on A six hundred right, and the population 461 00:28:11,520 --> 00:28:16,240 Speaker 4: then has reached two two d and twenty mice. The 462 00:28:16,320 --> 00:28:20,199 Speaker 4: experiment again set up for four thousand, but they just 463 00:28:21,080 --> 00:28:25,160 Speaker 4: as a society, they stopped. They stopped mousing. And how 464 00:28:25,200 --> 00:28:29,560 Speaker 4: do we explain this strange, deeply disturbing trend? What made 465 00:28:29,600 --> 00:28:34,480 Speaker 4: this perfect world so intolerably terrible that the test group 466 00:28:34,840 --> 00:28:38,280 Speaker 4: failed to reach full capacity even once? Not even once? 467 00:28:39,680 --> 00:28:43,040 Speaker 4: We could dive into it after a word from our sponsor. 468 00:28:46,920 --> 00:28:50,360 Speaker 5: Danan another line, they're surge pricing in the shoe store. 469 00:28:50,400 --> 00:28:52,760 Speaker 2: Now, sorry, Bud. You know out is there are more 470 00:28:52,800 --> 00:28:55,560 Speaker 2: and more people in the one shoe store, and most 471 00:28:55,600 --> 00:28:56,800 Speaker 2: of them also have two feet. 472 00:28:56,920 --> 00:28:58,920 Speaker 4: I just can't take this. I've had it. 473 00:28:58,920 --> 00:29:02,880 Speaker 2: It's enough to make you go. Of course, Going Bonkers 474 00:29:02,920 --> 00:29:05,920 Speaker 2: is available on the premium app version. Also, I know 475 00:29:05,960 --> 00:29:08,280 Speaker 2: what you mean. Every day I wake up and I. 476 00:29:08,240 --> 00:29:10,240 Speaker 3: Think is today? The day? 477 00:29:10,640 --> 00:29:13,240 Speaker 2: Is today? The day I bring the bomb to work? 478 00:29:13,280 --> 00:29:16,400 Speaker 2: And in this pointless sissaphy and charade. 479 00:29:16,320 --> 00:29:20,120 Speaker 4: Something troubling you friends. Shoes are just hats for feet. 480 00:29:20,160 --> 00:29:22,520 Speaker 4: You know, you could also go to a haberdashery. 481 00:29:22,720 --> 00:29:25,400 Speaker 5: It's not even the shoes, it's just look around. It's 482 00:29:25,440 --> 00:29:28,160 Speaker 5: all gotten out of hand. Wherever I go, there's a crowd, 483 00:29:28,240 --> 00:29:30,640 Speaker 5: a line, an app. I can't remember the last time 484 00:29:30,680 --> 00:29:32,640 Speaker 5: I was able to just be alone. 485 00:29:33,520 --> 00:29:38,280 Speaker 4: Well, if this civilization is too crowded, which we all understand, 486 00:29:38,800 --> 00:29:40,640 Speaker 4: then why not try a universe? 487 00:29:40,720 --> 00:29:43,920 Speaker 3: All your Oh is that another app? Oh? 488 00:29:44,000 --> 00:29:46,640 Speaker 4: Much more than that, gentlemen, what if I told you 489 00:29:46,840 --> 00:29:52,280 Speaker 4: right now you could have a universe to yourself, the universe? 490 00:29:52,800 --> 00:29:54,960 Speaker 4: Why oh you neverse? 491 00:29:56,280 --> 00:29:56,480 Speaker 5: Why? 492 00:29:56,560 --> 00:29:56,760 Speaker 1: Oh? 493 00:29:56,960 --> 00:29:57,560 Speaker 5: Universe? 494 00:29:58,000 --> 00:30:01,400 Speaker 4: Yes, the universe. Think of it as a planned community, 495 00:30:01,640 --> 00:30:04,800 Speaker 4: the most exclusive sort, with a population of one. You 496 00:30:05,280 --> 00:30:08,800 Speaker 4: gone are the days of competing for resources, ideology, or 497 00:30:08,800 --> 00:30:13,120 Speaker 4: the ability to feel seen in society. The universe provides 498 00:30:13,160 --> 00:30:16,479 Speaker 4: you with an all encompassing, self contained reality. You simply 499 00:30:16,520 --> 00:30:19,720 Speaker 4: agree to a small bit of blood harvesting and DNA sampling, 500 00:30:19,960 --> 00:30:22,960 Speaker 4: undergo a small procedure for the helmet, and voila gay 501 00:30:23,080 --> 00:30:27,320 Speaker 4: blood helmet procedure, I said, and voila. Imagine a world 502 00:30:27,320 --> 00:30:30,080 Speaker 4: in which you never feel rushed, in which other people 503 00:30:30,200 --> 00:30:33,080 Speaker 4: only exist. Should you allow them to do so a world, 504 00:30:33,200 --> 00:30:37,880 Speaker 4: a universe with no dissenting opinions, no uncomfortable truths. Every 505 00:30:37,960 --> 00:30:41,520 Speaker 4: social media comment agrees with you, Every email is a 506 00:30:41,640 --> 00:30:45,480 Speaker 4: yes and right on. Everything you want is provided, sustaining 507 00:30:45,560 --> 00:30:46,560 Speaker 4: your base needs. 508 00:30:47,000 --> 00:30:48,480 Speaker 2: Every sam in. 509 00:30:50,080 --> 00:30:51,000 Speaker 4: You don't want to hear the rest. 510 00:30:51,200 --> 00:30:52,800 Speaker 3: Not really, it sounds great. 511 00:30:53,200 --> 00:30:55,640 Speaker 4: Can I have a shoe store in my yo universe? 512 00:30:56,000 --> 00:30:58,040 Speaker 4: You can imagine anything you want here? 513 00:30:58,440 --> 00:30:59,880 Speaker 2: Don't you mean there? 514 00:31:00,480 --> 00:31:00,520 Speaker 5: No? 515 00:31:01,640 --> 00:31:06,520 Speaker 4: Don't you see friends? You're here right now. The universe 516 00:31:06,560 --> 00:31:08,480 Speaker 4: is in practice responsible for, but legally intimified, and that's 517 00:31:08,480 --> 00:31:10,760 Speaker 4: not liable for the following possib side effects isolation, madness, 518 00:31:10,760 --> 00:31:13,400 Speaker 4: the condition Mega two portpoise complaint, social media fatigue, echo chambers, 519 00:31:13,400 --> 00:31:15,200 Speaker 4: bio spheres of mind, grandamact of violence, loss of sexual 520 00:31:15,200 --> 00:31:17,360 Speaker 4: apetite loss and general appetite loss, perpective, lost memory, loss 521 00:31:17,360 --> 00:31:20,040 Speaker 4: of precognitive ability, inability to pare for others, sociopathy, psychopathy, 522 00:31:20,120 --> 00:31:21,960 Speaker 4: hyperflaglens self for a be self healthy is great of 523 00:31:21,960 --> 00:31:23,960 Speaker 4: bleed necktang due to alleged coment effect. Currently not approved 524 00:31:23,960 --> 00:31:26,120 Speaker 4: in the following states Georgia, Hawaii, Idahos, state of happiness, 525 00:31:26,120 --> 00:31:26,960 Speaker 4: and peaceful state of mind. 526 00:31:27,040 --> 00:31:30,040 Speaker 5: The universe is a subsidiary of Illumination Global Unlimited. 527 00:31:37,640 --> 00:31:41,760 Speaker 4: So let's return to something you mentioned just a bit earlier, map, 528 00:31:41,800 --> 00:31:47,280 Speaker 4: which is the revolutionary nineteen sixty two paper issued in 529 00:31:47,440 --> 00:31:55,080 Speaker 4: Scientific American wherein wherein he this is still pre Universe 530 00:31:55,120 --> 00:32:01,240 Speaker 4: twenty five, this is still Norway rat era. He introduces 531 00:32:01,360 --> 00:32:04,280 Speaker 4: the lay public to the idea of what are called 532 00:32:04,480 --> 00:32:05,960 Speaker 4: behavioral sinks. 533 00:32:06,400 --> 00:32:07,800 Speaker 3: So here's an excerpt. 534 00:32:08,280 --> 00:32:11,240 Speaker 5: Many female rats are unable to carry the pregnancy to 535 00:32:11,280 --> 00:32:14,320 Speaker 5: full term or to survive delivery of their litters if 536 00:32:14,480 --> 00:32:17,880 Speaker 5: they did. An even greater number after successfully giving birth 537 00:32:17,880 --> 00:32:22,360 Speaker 5: fell short in their maternal functions. So yeah, I mean again, 538 00:32:22,440 --> 00:32:27,440 Speaker 5: we're seeing this weird erosion of what are typically the 539 00:32:27,600 --> 00:32:32,480 Speaker 5: strongest of biological drives. You know what, I just I'm 540 00:32:32,480 --> 00:32:35,920 Speaker 5: sorry I keep saying about what what gives this is wild. 541 00:32:36,600 --> 00:32:38,920 Speaker 2: Let's actually jump through the article really quickly, because this 542 00:32:39,040 --> 00:32:40,560 Speaker 2: is kind of what I wanted to mention when we 543 00:32:40,560 --> 00:32:44,240 Speaker 2: were talking about nesting behavior. If you go down, I 544 00:32:44,240 --> 00:32:46,640 Speaker 2: think it's page one forty six in the original like 545 00:32:46,720 --> 00:32:50,200 Speaker 2: Scientific American, you can find it with those illustrations of 546 00:32:50,240 --> 00:32:53,000 Speaker 2: the nesting behavior. I just want to read the normal one. 547 00:32:53,040 --> 00:32:55,080 Speaker 2: And then one of you guys read the read the 548 00:32:56,320 --> 00:32:59,960 Speaker 2: what was happening what we're describing here, So normal maternal 549 00:33:00,080 --> 00:33:03,880 Speaker 2: behavior among these rat populations would include building a fluffy, 550 00:33:03,960 --> 00:33:07,080 Speaker 2: well shaped nest for the young in an enclosed space, 551 00:33:07,080 --> 00:33:09,560 Speaker 2: in one of those little condos that we were describing earlier, 552 00:33:10,240 --> 00:33:13,600 Speaker 2: and it would be flattened by the weight of the 553 00:33:13,640 --> 00:33:17,000 Speaker 2: animal's bodies, but it still offers ample protection and warmth 554 00:33:17,120 --> 00:33:20,600 Speaker 2: for their tiny young, you know, little rat bodies. And 555 00:33:20,760 --> 00:33:23,600 Speaker 2: when they've got this kind of environment, the offspring are 556 00:33:23,680 --> 00:33:28,840 Speaker 2: generally what's termed here weaned, right, and they are able 557 00:33:28,880 --> 00:33:30,960 Speaker 2: to leave the nest after a certain amount of time. 558 00:33:31,200 --> 00:33:33,520 Speaker 2: But what was happening right, Yeah, about two weeks? So 559 00:33:33,520 --> 00:33:36,840 Speaker 2: what was happening during these experiments with these behavioral sinks. 560 00:33:37,600 --> 00:33:43,560 Speaker 4: Yeah, this is where Calhoun introduces abnormal behavior, which is look, 561 00:33:43,600 --> 00:33:48,720 Speaker 4: he anthropomorphizes a lot. And when you see this, especially 562 00:33:48,960 --> 00:33:52,680 Speaker 4: if you have kids, it's kind of heartbreaking because the 563 00:33:52,760 --> 00:33:57,000 Speaker 4: abnormal behavior quote shown by females exposed to the pressures 564 00:33:57,000 --> 00:34:01,959 Speaker 4: of population density, includes failure to build adequate nest. And 565 00:34:02,000 --> 00:34:04,320 Speaker 4: you can see the drawing on the left of the 566 00:34:04,360 --> 00:34:08,799 Speaker 4: diagram of a quote unquote disturbed female not like a 567 00:34:08,840 --> 00:34:14,160 Speaker 4: bad mouse or not a bad rat, but instead, pressured 568 00:34:14,360 --> 00:34:19,400 Speaker 4: by this increasingly surreal environment, she start quote she started 569 00:34:19,400 --> 00:34:22,280 Speaker 4: to make a nest, but never finished it. The drawing 570 00:34:22,360 --> 00:34:25,840 Speaker 4: on the right shows her young About two weeks later, 571 00:34:27,040 --> 00:34:31,719 Speaker 4: they're leaving the nest, as we use the old cliche appropriately, 572 00:34:32,400 --> 00:34:36,640 Speaker 4: but they are not old enough to survive alone. And 573 00:34:36,760 --> 00:34:40,239 Speaker 4: this is where the ninety six percent infant mortality rate 574 00:34:40,520 --> 00:34:43,920 Speaker 4: statistic comes from. You can also see when says starting 575 00:34:43,960 --> 00:34:47,359 Speaker 4: to make a nest, the bedding they're provided with, it's 576 00:34:47,400 --> 00:34:51,760 Speaker 4: like these rectangular strips, and in the normal nesting behavior, 577 00:34:52,160 --> 00:34:54,040 Speaker 4: it's a hoarder's house. You know. 578 00:34:54,680 --> 00:34:57,640 Speaker 2: It literally becomes what you would imagine a nest would 579 00:34:57,680 --> 00:34:59,720 Speaker 2: look like if you've ever seen a bird's nest or something, 580 00:34:59,719 --> 00:35:02,080 Speaker 2: but with these strips of fabric. 581 00:35:02,200 --> 00:35:06,400 Speaker 4: And in the abnormal behavior we're looking at like it's terrible. 582 00:35:06,440 --> 00:35:10,640 Speaker 4: It makes me think of neglected children because that's what happened. Yeah, 583 00:35:11,200 --> 00:35:17,040 Speaker 4: i'manthropomorphizing anyway. Yeah, it's terrible. And the world that these 584 00:35:17,680 --> 00:35:20,520 Speaker 4: young mice who can't survive on their own are entering 585 00:35:20,880 --> 00:35:24,680 Speaker 4: is a very violent, chaotic places is hit in the 586 00:35:24,840 --> 00:35:29,160 Speaker 4: f in Universe twenty five, a lot of the largely 587 00:35:29,440 --> 00:35:33,839 Speaker 4: male population has disturbing behavior at a rate that far 588 00:35:33,880 --> 00:35:37,520 Speaker 4: exceeds what would happen in the wild. Rats can practice 589 00:35:37,560 --> 00:35:41,360 Speaker 4: cannibalism if they have to. These rats don't have to 590 00:35:41,440 --> 00:35:45,719 Speaker 4: practice cannibalism, but they're doing it. They're super into it. 591 00:35:45,920 --> 00:35:53,160 Speaker 4: They're also banging literally everything, sexually, sang everything, without regard 592 00:35:53,239 --> 00:35:58,279 Speaker 4: to the normal constraints of reproduction or the normal goals. 593 00:35:58,640 --> 00:36:00,600 Speaker 2: I think maybe that's a big thing. It seems like 594 00:36:00,680 --> 00:36:04,879 Speaker 2: the goal is gone now, right, so now it's just Oh, 595 00:36:04,920 --> 00:36:06,520 Speaker 2: I was going to say, do what thou wilst? But 596 00:36:06,560 --> 00:36:09,040 Speaker 2: that's not But that's not even it. It's like it's 597 00:36:09,040 --> 00:36:12,960 Speaker 2: frenetic behavior. It's like it's agitated. 598 00:36:13,200 --> 00:36:16,479 Speaker 5: Ain't always right, And it's not like there's some sort 599 00:36:16,480 --> 00:36:21,200 Speaker 5: of hedonistic drive. You know, mice don't understand, you know, 600 00:36:21,600 --> 00:36:24,560 Speaker 5: Satanism or the idea of do what thou wilst per se. 601 00:36:25,000 --> 00:36:30,040 Speaker 5: It's a a biological imperative that's kind of been flipped 602 00:36:30,640 --> 00:36:34,520 Speaker 5: in a weird and disturbing way. It's not like they're, hey, 603 00:36:34,600 --> 00:36:36,840 Speaker 5: let's just just go ham and like living like a 604 00:36:36,880 --> 00:36:40,280 Speaker 5: weird cannibalistic hippie commune to get you know whatever. 605 00:36:40,719 --> 00:36:42,400 Speaker 2: I think, Ben, you put it really well, like the 606 00:36:42,400 --> 00:36:48,560 Speaker 2: goal the original I don't know, I was gonna, I 607 00:36:48,600 --> 00:36:50,000 Speaker 2: was gonna. I think you said it right, Like just 608 00:36:50,040 --> 00:36:52,960 Speaker 2: the goals, the things that you have as as mouse, 609 00:36:53,360 --> 00:36:56,399 Speaker 2: those are no longer applicable because of the pressures you're 610 00:36:56,440 --> 00:36:56,960 Speaker 2: existing in. 611 00:36:57,400 --> 00:37:01,640 Speaker 4: Yeah, and we're using rat and mouse here interchangeably, because 612 00:37:02,840 --> 00:37:08,759 Speaker 4: because the trends are consistent across the universes. That's the 613 00:37:09,560 --> 00:37:11,920 Speaker 4: scary thing. They're rat in the mouse. They're close enough 614 00:37:12,280 --> 00:37:15,680 Speaker 4: that the stories are beat for beat, very similar. And 615 00:37:15,719 --> 00:37:19,520 Speaker 4: this like what do you call it? This impetus that 616 00:37:19,600 --> 00:37:22,839 Speaker 4: we're talking about when when you're an environment where that 617 00:37:22,920 --> 00:37:27,640 Speaker 4: impetus is somehow curtailed or interfered with, we see the 618 00:37:27,920 --> 00:37:31,920 Speaker 4: over and over again. We see the population generally goes 619 00:37:31,960 --> 00:37:35,360 Speaker 4: into behavioral directions. A lot of people, like we're saying, 620 00:37:36,560 --> 00:37:40,640 Speaker 4: see now I'm competing it, they go, they go ham 621 00:37:40,880 --> 00:37:45,640 Speaker 4: you know, they're almost like the Reavers in Serenity and yeah, 622 00:37:45,680 --> 00:37:47,720 Speaker 4: and the other folks are the ones where the packs 623 00:37:47,840 --> 00:37:49,600 Speaker 4: virus works spoilers. 624 00:37:50,600 --> 00:37:53,919 Speaker 5: Yeah, it's so easy to anthropomorphize this and like say 625 00:37:53,960 --> 00:37:59,160 Speaker 5: something like they became evil, right, but that's that's not right, 626 00:37:59,520 --> 00:38:03,040 Speaker 5: you know. There there's just something in their coating that 627 00:38:03,280 --> 00:38:06,840 Speaker 5: no longer applied, and they just kind of went berserk 628 00:38:07,280 --> 00:38:11,840 Speaker 5: because like the normal like society, sociological and biological things 629 00:38:11,840 --> 00:38:14,520 Speaker 5: that kind of kept them acting like what they are 630 00:38:14,600 --> 00:38:19,239 Speaker 5: rats and mice no longer applied, and therefore they're they're programming, 631 00:38:19,239 --> 00:38:21,040 Speaker 5: for lack of a better term, didn't know how to 632 00:38:21,040 --> 00:38:23,440 Speaker 5: operate anymore. So it just kind of like it's like 633 00:38:23,480 --> 00:38:26,320 Speaker 5: they short circuited almost right, well, man. 634 00:38:26,080 --> 00:38:29,800 Speaker 2: And you're it's so it's so confusing to me because 635 00:38:29,880 --> 00:38:32,840 Speaker 2: you're not necessarily competing for the food when the food 636 00:38:32,840 --> 00:38:35,719 Speaker 2: comes out, right, there's ample food. They're always been dead. 637 00:38:35,520 --> 00:38:39,400 Speaker 5: Though, right there, it's cannibalizing the dead. It's not like 638 00:38:39,440 --> 00:38:42,160 Speaker 5: they're are they killing each other and then eating too? 639 00:38:42,280 --> 00:38:45,719 Speaker 5: Oh yeah, sorry, Matt, I just had to please continue. 640 00:38:45,800 --> 00:38:46,560 Speaker 5: That's wild. 641 00:38:47,040 --> 00:38:49,040 Speaker 2: But what I'm saying is like they could have just 642 00:38:49,200 --> 00:38:51,920 Speaker 2: eaten the food, but there's so many of them it 643 00:38:52,000 --> 00:38:54,960 Speaker 2: is almost I don't know. I think maybe that's why 644 00:38:55,000 --> 00:38:56,920 Speaker 2: it's so confusing to me. You could always go and 645 00:38:56,960 --> 00:38:59,359 Speaker 2: get water, but you got to now like either wait 646 00:38:59,400 --> 00:39:01,880 Speaker 2: in line or fight to go get the water. But 647 00:39:02,040 --> 00:39:04,120 Speaker 2: is this there? It'll always be there, you just got 648 00:39:04,120 --> 00:39:04,879 Speaker 2: to get to it now. 649 00:39:05,280 --> 00:39:07,040 Speaker 5: Is this the kind of study that would probably be 650 00:39:07,120 --> 00:39:10,239 Speaker 5: looked at a bit of scance today, like this is 651 00:39:10,600 --> 00:39:15,160 Speaker 5: a little on the immoral sides or on the on 652 00:39:15,320 --> 00:39:16,120 Speaker 5: ethical side. 653 00:39:16,480 --> 00:39:20,400 Speaker 4: You can still do stuff like this. It's because they're rodents. 654 00:39:20,440 --> 00:39:23,320 Speaker 4: You can still do stuff like this depending on the country. 655 00:39:23,440 --> 00:39:27,680 Speaker 4: But also this research, as we'll see, gets weaponized and 656 00:39:28,960 --> 00:39:32,560 Speaker 4: used as a metaphor for all kinds of things, perhaps incorrectly. 657 00:39:33,280 --> 00:39:37,719 Speaker 4: We do know there's scholarship suggesting maybe this is not 658 00:39:37,800 --> 00:39:41,000 Speaker 4: a problem of population density so much as a problem 659 00:39:41,040 --> 00:39:43,200 Speaker 4: of distribution of that population. 660 00:39:43,680 --> 00:39:43,919 Speaker 3: Right. 661 00:39:44,040 --> 00:39:47,120 Speaker 4: So, and we see things like this happening in the world. 662 00:39:47,160 --> 00:39:50,000 Speaker 4: There are parts of the world that are struggling to 663 00:39:50,160 --> 00:39:53,480 Speaker 4: maintain a population. At the same time, there are parts 664 00:39:53,480 --> 00:39:56,560 Speaker 4: of the world where the population is exploding in a 665 00:39:56,560 --> 00:39:59,239 Speaker 4: way that that civilization is not prepared for. 666 00:39:59,600 --> 00:39:59,839 Speaker 3: Right. 667 00:40:00,440 --> 00:40:04,680 Speaker 4: So there's I mean, it gets into this really weird, controversial, 668 00:40:05,880 --> 00:40:10,160 Speaker 4: possibly evil math. But we know that we know that 669 00:40:10,200 --> 00:40:13,359 Speaker 4: what would happen is think of it like a gen pop. Right, 670 00:40:14,040 --> 00:40:17,600 Speaker 4: You're in a jail. You can choose to go into 671 00:40:17,640 --> 00:40:21,080 Speaker 4: your own cell, right, you can be by yourself in 672 00:40:21,120 --> 00:40:24,839 Speaker 4: that cell, or you can go down to gen pop. Right, 673 00:40:25,000 --> 00:40:30,080 Speaker 4: where everything is where's party time, but not excellent and 674 00:40:30,560 --> 00:40:37,360 Speaker 4: the rats, Calhoun hypothesizes, they began to associate feeding with 675 00:40:37,520 --> 00:40:41,200 Speaker 4: being around a big crowd of rats. They didn't understand 676 00:40:41,280 --> 00:40:45,080 Speaker 4: that they could eat on their own, which is fascinating 677 00:40:45,560 --> 00:40:50,320 Speaker 4: from a very ethics aside, that is fascinating and chilling. 678 00:40:51,480 --> 00:40:54,440 Speaker 2: So these and then it becomes a learned behavior because 679 00:40:54,560 --> 00:40:58,799 Speaker 2: let's imagine you are a successful rat or mouse that 680 00:40:58,880 --> 00:41:03,920 Speaker 2: made it into the general population after me madgusting, you 681 00:41:04,000 --> 00:41:07,520 Speaker 2: watch all of the rats gathered together in this huge 682 00:41:07,520 --> 00:41:09,640 Speaker 2: mass when it's time to eat. So you go, well, 683 00:41:09,640 --> 00:41:11,520 Speaker 2: I guess that's that's what happens when it's time for 684 00:41:11,560 --> 00:41:15,239 Speaker 2: me to eat now, and then that behavioral pattern then 685 00:41:15,320 --> 00:41:18,080 Speaker 2: passes down as like, well, that's what this is what 686 00:41:18,160 --> 00:41:21,320 Speaker 2: society does, so this is what I do. So yeah, 687 00:41:21,360 --> 00:41:23,200 Speaker 2: this is this is what I'm supposed to do. 688 00:41:23,600 --> 00:41:27,120 Speaker 4: Listen here, mouse, son, you'll eat like I ate and 689 00:41:27,160 --> 00:41:30,920 Speaker 4: your father and my father before you in a crowd, 690 00:41:31,600 --> 00:41:34,400 Speaker 4: ready to fight and maybe eat another animal. 691 00:41:35,160 --> 00:41:37,560 Speaker 2: Yeah, I'm surprised there wasn't a group of older mice 692 00:41:37,600 --> 00:41:40,960 Speaker 2: hanging on the corner. So I remember when we used 693 00:41:41,000 --> 00:41:41,359 Speaker 2: to eat. 694 00:41:43,640 --> 00:41:46,800 Speaker 4: I remember that just eight of us in the beginning. 695 00:41:46,960 --> 00:41:51,520 Speaker 5: Uphill both ways, uphill both ways, dead all the way. 696 00:41:52,440 --> 00:41:55,759 Speaker 4: So he also we should note, as he said, he 697 00:41:55,800 --> 00:41:58,920 Speaker 4: had a lot of anthropomorphizing, and you can see it 698 00:41:59,000 --> 00:42:02,640 Speaker 4: in the language he uses, which is purposely chosen to 699 00:42:02,800 --> 00:42:06,719 Speaker 4: communicate with the public because it occurs in a larger context. 700 00:42:07,719 --> 00:42:11,840 Speaker 4: He calls the dwelling places tower blocks basically apartments. He 701 00:42:11,880 --> 00:42:14,320 Speaker 4: calls them walk up apartments. 702 00:42:14,360 --> 00:42:17,000 Speaker 5: He was sort of a British parlance, right, tower blocks 703 00:42:17,080 --> 00:42:21,160 Speaker 5: like flat blocks. Yeah, we're referring to what we might 704 00:42:21,200 --> 00:42:24,720 Speaker 5: over here call projects or like you know, government. 705 00:42:26,120 --> 00:42:26,319 Speaker 2: Yeah. 706 00:42:26,680 --> 00:42:29,879 Speaker 4: Yeah, that's kind of how he's talking you. And he's 707 00:42:29,920 --> 00:42:33,360 Speaker 4: doing that to draw draw out this comparison to human 708 00:42:33,440 --> 00:42:36,880 Speaker 4: society in the time of which he's writing and conducting science. 709 00:42:37,040 --> 00:42:42,160 Speaker 4: He also calls some groups juvenile, delinquents and dropouts. He's 710 00:42:42,320 --> 00:42:46,400 Speaker 4: actively inviting us to think in this manner. So it 711 00:42:46,400 --> 00:42:50,759 Speaker 4: should be no surprise that human civilization, not just scientists 712 00:42:50,760 --> 00:42:55,520 Speaker 4: and academics and ethologists, human civilization in general, learns about 713 00:42:55,520 --> 00:42:59,799 Speaker 4: this stuff, primarily through the Scientific American article, and they 714 00:43:00,000 --> 00:43:03,520 Speaker 4: immediately say, well, what does this tell us about ourselves? 715 00:43:04,040 --> 00:43:08,280 Speaker 4: And what does this tell us about Thomas Malthus. While 716 00:43:08,360 --> 00:43:13,080 Speaker 4: this is occurring, there has been a bevy of academics 717 00:43:13,680 --> 00:43:16,839 Speaker 4: who might as well be wearing sandwich boards that say 718 00:43:16,880 --> 00:43:25,680 Speaker 4: the end is nigh, you know, ecologist, economists, philosophers, tycoons. 719 00:43:25,800 --> 00:43:28,839 Speaker 4: Tycoons love Malthusian thought, and we. 720 00:43:28,800 --> 00:43:30,000 Speaker 3: Do have some good examples. 721 00:43:30,920 --> 00:43:38,800 Speaker 5: First off, William Vote and Fairfield Osborne were two ecologists 722 00:43:39,160 --> 00:43:45,880 Speaker 5: who warned against the growing population putting pressure on natural resources, 723 00:43:46,000 --> 00:43:49,680 Speaker 5: on food, and that was as early as nineteen forty eight. 724 00:43:49,719 --> 00:43:51,719 Speaker 5: So people have been like sounding the alarms for the 725 00:43:51,719 --> 00:43:54,960 Speaker 5: stuff for a long time and it ain't getting. 726 00:43:54,960 --> 00:43:56,279 Speaker 3: A whole heck of a lot better. 727 00:43:56,440 --> 00:43:59,359 Speaker 5: We're being completely honest, and it does feel like, you know, 728 00:43:59,440 --> 00:44:03,640 Speaker 5: if we're being dire about our situation that we find 729 00:44:03,680 --> 00:44:05,520 Speaker 5: ourselves in or think about what's going to be the 730 00:44:05,560 --> 00:44:09,239 Speaker 5: tipping point in like a big, you know, high water 731 00:44:09,320 --> 00:44:11,880 Speaker 5: mark moment in humanity, it's kind of. 732 00:44:11,920 --> 00:44:13,520 Speaker 3: Be a war over resources. 733 00:44:13,600 --> 00:44:17,719 Speaker 5: I mean, it's pretty clear that's that's the one thing 734 00:44:17,760 --> 00:44:20,399 Speaker 5: that we can't really make more of, and people who 735 00:44:20,719 --> 00:44:23,399 Speaker 5: have control and have power is going to start hoarding them, 736 00:44:23,920 --> 00:44:27,919 Speaker 5: leaving you know, the lesser of us out in the cold. 737 00:44:28,160 --> 00:44:31,600 Speaker 2: Well, yeah, fear filled Osborne. This dude, this is a 738 00:44:31,640 --> 00:44:35,080 Speaker 2: eugenesis is born in the eighteen hundreds, like died in 739 00:44:35,200 --> 00:44:37,680 Speaker 2: nineteen thirty five, and he was talking about it back then, 740 00:44:37,719 --> 00:44:41,000 Speaker 2: and as eugenicist he had some ideas. I bet he did, 741 00:44:41,280 --> 00:44:45,040 Speaker 2: had it takes takes, So you know, it's weird. It's 742 00:44:45,080 --> 00:44:47,399 Speaker 2: a weird thing because it is a cautionary subject where 743 00:44:47,440 --> 00:44:49,480 Speaker 2: if you start looking at this too much and you're 744 00:44:49,520 --> 00:44:53,839 Speaker 2: applying whatever, I don't know what, we would even call them, 745 00:44:54,040 --> 00:44:56,920 Speaker 2: your own biases that you've got from growing up wherever 746 00:44:57,000 --> 00:45:01,640 Speaker 2: you grew up, and with people you're around, it is dangerous. 747 00:45:02,719 --> 00:45:09,440 Speaker 4: Yeah, And again we have this oh gosh, you know what, 748 00:45:09,480 --> 00:45:13,560 Speaker 4: I'm just realizing, I'm thinking through Osborne was alive when 749 00:45:13,560 --> 00:45:20,480 Speaker 4: the Great Depression hit, so he probably died thinking called it. Yeah. 750 00:45:19,000 --> 00:45:23,319 Speaker 4: And then in nineteen sixty eight, in the same sort 751 00:45:23,360 --> 00:45:29,240 Speaker 4: of social milieu or context, Paul Erlick publishes the population Bomb. 752 00:45:29,800 --> 00:45:32,960 Speaker 4: It is polemical, it is an alarmist work. It is 753 00:45:33,040 --> 00:45:35,759 Speaker 4: meant to shake you when you read it. And he 754 00:45:35,840 --> 00:45:40,800 Speaker 4: says it's common famine, resource wars, the end of days. 755 00:45:41,920 --> 00:45:46,160 Speaker 4: So the public is primed to think in these terms. 756 00:45:46,440 --> 00:45:51,760 Speaker 4: You know, they witnessed horrific wars, they've seen what happens 757 00:45:51,800 --> 00:45:57,399 Speaker 4: when the economic regimes collapse. So when Calhoun comes out 758 00:45:57,400 --> 00:46:03,960 Speaker 4: in Scientific American, which is legit publication, they are totally 759 00:46:04,040 --> 00:46:07,720 Speaker 4: vibing with it. He says, look overpopulation means social collapse 760 00:46:07,800 --> 00:46:11,640 Speaker 4: followed by extinction. The rodents are not so different from 761 00:46:11,760 --> 00:46:15,680 Speaker 4: the primates. And the more I repeat this experiment, the 762 00:46:15,680 --> 00:46:20,280 Speaker 4: more predictable and inevitable the outcome seems. By the time 763 00:46:20,360 --> 00:46:23,560 Speaker 4: he got to Universe twenty five, the most popular or 764 00:46:23,560 --> 00:46:28,280 Speaker 4: most well known one, he had a formula, a death 765 00:46:28,440 --> 00:46:32,360 Speaker 4: squared formula, which we have to go into. But basically 766 00:46:33,520 --> 00:46:36,160 Speaker 4: he was thinking of the concept of second death. So 767 00:46:36,280 --> 00:46:39,640 Speaker 4: first death being the physical death of an individual, second 768 00:46:39,680 --> 00:46:43,319 Speaker 4: death being the larger death of a society. Very fun 769 00:46:43,360 --> 00:46:49,799 Speaker 4: at parties, I imagine, But I don't know. That's the question. 770 00:46:49,920 --> 00:46:52,240 Speaker 4: Let's a pickle we're still working with. Can we apply 771 00:46:52,360 --> 00:46:56,360 Speaker 4: this to humans? Calhoun was certain this could also be 772 00:46:56,360 --> 00:46:59,920 Speaker 4: a warning call for human society, no matter how smart 773 00:47:00,040 --> 00:47:04,359 Speaker 4: we think we are, he reasoned, because he did count 774 00:47:04,400 --> 00:47:06,560 Speaker 4: himself as human. You know, he's like, I'm in this 775 00:47:06,920 --> 00:47:11,400 Speaker 4: universe too, he said, No matter what happens, once the 776 00:47:11,560 --> 00:47:17,359 Speaker 4: number of individuals capable of fulfilling certain roles. Once that 777 00:47:17,440 --> 00:47:21,080 Speaker 4: exceeds the number of roles available, basically, once there are 778 00:47:21,120 --> 00:47:24,200 Speaker 4: too many cars for the parking lot of a civilization, 779 00:47:25,000 --> 00:47:26,000 Speaker 4: chaos reigns. 780 00:47:26,320 --> 00:47:27,520 Speaker 3: Oh yeah, I. 781 00:47:27,480 --> 00:47:32,440 Speaker 2: Mean, like students graduating from elite colleges don't have jobs 782 00:47:32,480 --> 00:47:36,759 Speaker 2: to fill, students graduating from non elite colleges don't have 783 00:47:36,880 --> 00:47:39,600 Speaker 2: jobs to fill anymore, and something like AI comes along 784 00:47:39,640 --> 00:47:41,200 Speaker 2: and fills all those roles. 785 00:47:42,120 --> 00:47:45,640 Speaker 4: Yeah, Or like the fact that Star Trek sort of 786 00:47:45,680 --> 00:47:49,800 Speaker 4: glosses over the fact how they went from a post 787 00:47:49,840 --> 00:47:55,080 Speaker 4: work economy after living through a post worker economy. 788 00:47:55,480 --> 00:47:56,640 Speaker 2: Yeah, they don't put. 789 00:47:56,480 --> 00:47:57,719 Speaker 4: A lot of that on the air. 790 00:47:57,880 --> 00:48:00,600 Speaker 2: But it's just worked, doubt, you know. 791 00:48:01,800 --> 00:48:06,360 Speaker 4: Just worked out. Let's go to the Holo deck, he writes. 792 00:48:07,280 --> 00:48:11,959 Speaker 4: He writes beautifully about this, and I don't think he's 793 00:48:12,040 --> 00:48:14,400 Speaker 4: trying to be a jerk. I think he is trying 794 00:48:14,440 --> 00:48:18,200 Speaker 4: to present what he sees as the science, like we've 795 00:48:18,200 --> 00:48:21,160 Speaker 4: got again. You can read the full paper or the 796 00:48:21,160 --> 00:48:24,480 Speaker 4: full article online today and it is worth your time. 797 00:48:24,880 --> 00:48:29,120 Speaker 4: But he concludes that when you get to that too 798 00:48:29,120 --> 00:48:33,480 Speaker 4: many cars for the parking spot situation, the only result 799 00:48:33,719 --> 00:48:38,680 Speaker 4: is violence and disruption of social organization. And he's not 800 00:48:39,680 --> 00:48:44,319 Speaker 4: arguing ideology here very important to note because it does 801 00:48:44,360 --> 00:48:48,640 Speaker 4: get weaponized by people with different ideologies. He's just saying 802 00:48:50,400 --> 00:48:53,839 Speaker 4: when he says social organization, he's talking about the way 803 00:48:53,920 --> 00:48:58,719 Speaker 4: rodents usually work, the way they usually self organize, And 804 00:48:58,840 --> 00:49:05,640 Speaker 4: now they're doing stuff that is not normal. Social pessimist, Malfusians, 805 00:49:05,680 --> 00:49:08,640 Speaker 4: whatever we want to call them, they loved this stuff. 806 00:49:09,000 --> 00:49:14,680 Speaker 4: This was to them an inarguable rule of the world 807 00:49:14,840 --> 00:49:18,239 Speaker 4: of reality. This was like the law of gravity for 808 00:49:18,400 --> 00:49:20,920 Speaker 4: living things. Trippy stuff. 809 00:49:21,440 --> 00:49:24,480 Speaker 2: So I got lost in this article from Cabinet Magazine. 810 00:49:24,719 --> 00:49:26,399 Speaker 4: They've got the great illustrations too. 811 00:49:26,680 --> 00:49:29,880 Speaker 2: It's pictures of the actual structure that does resemble some 812 00:49:30,040 --> 00:49:32,080 Speaker 2: kind of prison to me when you just look at 813 00:49:32,120 --> 00:49:38,319 Speaker 2: this tiny, little nine foot squired thing, I don't know, 814 00:49:38,360 --> 00:49:41,759 Speaker 2: a great picture of John Calhoun, and he looks troubled too. 815 00:49:41,800 --> 00:49:46,560 Speaker 2: In his face. He's just like, oh God, just drop 816 00:49:46,640 --> 00:49:48,200 Speaker 2: outnice Haggard. 817 00:49:48,880 --> 00:49:52,040 Speaker 4: Also, do you guys remember a while back when I 818 00:49:52,120 --> 00:49:54,960 Speaker 4: was living I was living in that place right next 819 00:49:54,960 --> 00:49:58,680 Speaker 4: to our old office, and the courtyard of that looked 820 00:49:58,800 --> 00:50:00,279 Speaker 4: very universe twenty five to me. 821 00:50:00,440 --> 00:50:03,680 Speaker 5: Oh yeah, with the weird like aatrium, the plants and stuff. 822 00:50:03,680 --> 00:50:06,280 Speaker 5: It kind of felt like like pretend outside. 823 00:50:07,480 --> 00:50:11,080 Speaker 4: Yeah, yeah, we have outside at home. That's what it was. 824 00:50:11,880 --> 00:50:17,520 Speaker 4: So look, he is he is perhaps mischaracterized pretty often 825 00:50:17,600 --> 00:50:20,719 Speaker 4: because he argued that there were good guys, and that 826 00:50:20,880 --> 00:50:23,799 Speaker 4: part of his research I think gets glossed over. He 827 00:50:23,960 --> 00:50:27,040 Speaker 4: was very interested in something he called the high social 828 00:50:27,160 --> 00:50:33,600 Speaker 4: velocity mice. These were individual mice who responded to these 829 00:50:33,680 --> 00:50:38,719 Speaker 4: new overpopulation pressures by switching things up by doing interesting, 830 00:50:40,160 --> 00:50:43,960 Speaker 4: very varied behaviors, like they would alter, you know, if 831 00:50:43,960 --> 00:50:47,080 Speaker 4: there's a big gen pop crowd at feeding time, they 832 00:50:47,120 --> 00:50:49,560 Speaker 4: would move. In the night, they would move when the 833 00:50:49,560 --> 00:50:52,080 Speaker 4: other mice were less active or whatever their version of 834 00:50:52,200 --> 00:50:55,880 Speaker 4: night was. They would team up and create alliances that 835 00:50:56,000 --> 00:51:01,160 Speaker 4: ordinarily would not exist. So he found great hope in that, 836 00:51:01,560 --> 00:51:05,160 Speaker 4: and he says, look, humanity is a positive animal, creative, 837 00:51:05,320 --> 00:51:11,759 Speaker 4: capable of design. Maybe we can out teck this damning 838 00:51:12,239 --> 00:51:14,640 Speaker 4: doomsday prediction for society. 839 00:51:15,480 --> 00:51:20,360 Speaker 2: I don't know, but it's weird. There's another article from 840 00:51:20,640 --> 00:51:24,040 Speaker 2: Oh gosh, that's not the Vox article I was looking at. 841 00:51:24,120 --> 00:51:29,200 Speaker 2: I'm sorry, guys, The Smithsonian. The appendix. The appendix has 842 00:51:29,239 --> 00:51:32,719 Speaker 2: an interesting article on this, specifically on John Calhoun, and 843 00:51:32,920 --> 00:51:37,040 Speaker 2: they discuss or this article, at least in cite it 844 00:51:37,120 --> 00:51:39,880 Speaker 2: so you can look it up. It's titled Space Cadets 845 00:51:39,880 --> 00:51:45,280 Speaker 2: and rat Utopias by Laura Jane Martin. So this concept 846 00:51:45,320 --> 00:51:47,719 Speaker 2: of space cadets is something that John Calhoun was really 847 00:51:47,719 --> 00:51:50,200 Speaker 2: into because, at least according to the article, according to 848 00:51:50,280 --> 00:51:53,080 Speaker 2: other writings about him, he wanted this to be a 849 00:51:53,120 --> 00:51:56,200 Speaker 2: positive thing. He wanted humans to look at it and go, hey, 850 00:51:56,239 --> 00:51:58,799 Speaker 2: we can fix these major problems we've got going on. 851 00:51:58,920 --> 00:52:02,520 Speaker 2: Even if population seems to be this doomsday you know, 852 00:52:02,600 --> 00:52:06,200 Speaker 2: on the horizon somewhere, if we're aware of it, we 853 00:52:06,280 --> 00:52:08,759 Speaker 2: can fix all the things that lead to it. And 854 00:52:09,040 --> 00:52:12,040 Speaker 2: why not as one of those fixes, let's focus on 855 00:52:12,080 --> 00:52:13,160 Speaker 2: getting the heck off Earth. 856 00:52:14,400 --> 00:52:14,840 Speaker 3: Yeah. 857 00:52:15,040 --> 00:52:19,240 Speaker 4: Shout out to his partner in that letter, Dull Duhl, 858 00:52:20,640 --> 00:52:24,799 Speaker 4: I love you mentioning that because he has the analogy that, 859 00:52:25,000 --> 00:52:26,799 Speaker 4: as far as we know, the analogy he did not 860 00:52:26,960 --> 00:52:29,640 Speaker 4: make but would be apparent to those of us in 861 00:52:29,680 --> 00:52:35,919 Speaker 4: the cage today is that he's like a climate change person. Right, 862 00:52:36,040 --> 00:52:40,160 Speaker 4: He's like a climatologist but for society, and he say, look, 863 00:52:40,200 --> 00:52:43,920 Speaker 4: we're reaching this behavioral sink point, but we're not at 864 00:52:43,920 --> 00:52:46,839 Speaker 4: the past. We're not past the point of no return, right, 865 00:52:46,880 --> 00:52:50,880 Speaker 4: we can still mitigate and perhaps even repair the tendencies 866 00:52:50,920 --> 00:52:56,279 Speaker 4: we don't like. And Space Cadets is really interesting. It's 867 00:52:56,320 --> 00:53:02,520 Speaker 4: one of those technocratic, very optimistic think tanks, you know, like, 868 00:53:02,719 --> 00:53:05,000 Speaker 4: if we want to get to space, it's going to 869 00:53:05,040 --> 00:53:08,840 Speaker 4: take all of the experts we can possibly think of. 870 00:53:09,160 --> 00:53:12,040 Speaker 4: You know, let's get the architects, but let's also make 871 00:53:12,080 --> 00:53:14,399 Speaker 4: sure we have the psychiatrist, you know what I mean. 872 00:53:15,440 --> 00:53:18,719 Speaker 4: I think it's fascinating. I don't know too much about 873 00:53:18,719 --> 00:53:21,839 Speaker 4: the Space Cadets to be candid, but I do know 874 00:53:22,440 --> 00:53:29,680 Speaker 4: that I do know that he had great faith in humanity. 875 00:53:29,960 --> 00:53:33,280 Speaker 4: And he said, you know, maybe the rats are breaking 876 00:53:33,360 --> 00:53:36,120 Speaker 4: down because they don't know what to do. The mice 877 00:53:36,120 --> 00:53:37,919 Speaker 4: are breaking down because they don't know what to do. 878 00:53:38,200 --> 00:53:41,200 Speaker 4: But the history of humanity is a history of innovation, 879 00:53:41,600 --> 00:53:43,640 Speaker 4: of deviation from tradition. 880 00:53:43,360 --> 00:53:48,840 Speaker 6: And norm Yeah, man, so far, he paused and said, 881 00:53:49,120 --> 00:53:53,680 Speaker 6: so far, guys. 882 00:53:53,719 --> 00:53:57,120 Speaker 2: We should point out the what do they call them? 883 00:53:57,160 --> 00:53:59,919 Speaker 2: Some of those guys. They refer to them as neo Malthusian, 884 00:54:00,440 --> 00:54:05,200 Speaker 2: like the new generation, you know. And I didn't know 885 00:54:05,440 --> 00:54:07,600 Speaker 2: until I listen to that stuff. You should know episode 886 00:54:07,920 --> 00:54:10,480 Speaker 2: that there there are things I want to shout out. 887 00:54:10,520 --> 00:54:13,239 Speaker 2: They did in their episode. They shouted out a thing 888 00:54:13,320 --> 00:54:16,680 Speaker 2: called Population Connection that I had never heard of before, 889 00:54:17,600 --> 00:54:19,840 Speaker 2: which is a website you can go to right now 890 00:54:20,200 --> 00:54:26,040 Speaker 2: that is basically a spin off from well it was. 891 00:54:26,280 --> 00:54:29,920 Speaker 2: It was formerly known as ZPG or Zero Population Growth, 892 00:54:30,640 --> 00:54:35,919 Speaker 2: and it's this fairly large organization that focuses specifically on 893 00:54:36,640 --> 00:54:44,279 Speaker 2: eliminating all non planned births because theoretically you could bring 894 00:54:44,320 --> 00:54:47,960 Speaker 2: the numbers of like human replacement, you know that, like 895 00:54:48,360 --> 00:54:52,359 Speaker 2: what two point one berths per couple or whatever that 896 00:54:52,480 --> 00:54:55,000 Speaker 2: you know, old thing is that was based on, like 897 00:54:55,040 --> 00:54:57,320 Speaker 2: how to replace human beings. 898 00:54:57,719 --> 00:55:01,279 Speaker 5: Well, that's downright on American The accidental pregnancy is a 899 00:55:01,320 --> 00:55:02,840 Speaker 5: foundation of our society. 900 00:55:03,120 --> 00:55:08,480 Speaker 4: Holder. Well, well it's one am you go home? I'm 901 00:55:08,480 --> 00:55:09,120 Speaker 4: in love with her? 902 00:55:09,719 --> 00:55:12,480 Speaker 2: Yeah. Well again, I don't mean to speak for Population 903 00:55:12,520 --> 00:55:14,560 Speaker 2: Connection because I don't know that much about them. Sure, 904 00:55:14,560 --> 00:55:17,840 Speaker 2: going off of what their website says, yeah, population connection 905 00:55:17,920 --> 00:55:20,440 Speaker 2: dot org and what was spoken about on that episode, 906 00:55:20,719 --> 00:55:23,480 Speaker 2: But it does seem like they were focused heavily on 907 00:55:23,680 --> 00:55:27,200 Speaker 2: empowering people to know about pregnancy, how it occurs, how 908 00:55:27,239 --> 00:55:32,640 Speaker 2: to prevent it, and like providing resources basically to people 909 00:55:33,000 --> 00:55:35,319 Speaker 2: across the planet. We're not talking about one place. We're 910 00:55:35,320 --> 00:55:38,440 Speaker 2: talking like make sure everybody knows exactly what to do 911 00:55:38,520 --> 00:55:41,440 Speaker 2: and how to prevent pregnancy until they are ready for it. 912 00:55:41,520 --> 00:55:43,840 Speaker 5: Because isn't it interesting how sex said is still in 913 00:55:43,880 --> 00:55:47,000 Speaker 5: a lot of ways controversial, Like you know, it doesn't 914 00:55:47,040 --> 00:55:50,480 Speaker 5: feel like it's uniformly applied where it seems like, you know, 915 00:55:50,520 --> 00:55:54,240 Speaker 5: at that age, it's probably the perfect time to empower 916 00:55:54,400 --> 00:55:57,000 Speaker 5: young people with that kind of information. But it's like 917 00:55:57,560 --> 00:56:00,719 Speaker 5: it's cringe for some reason, or like parents freaks them out, 918 00:56:01,040 --> 00:56:03,200 Speaker 5: But it really is probably smartling, just like we don't 919 00:56:03,200 --> 00:56:06,400 Speaker 5: teach kids about how to manage their money, and you know, 920 00:56:06,520 --> 00:56:07,479 Speaker 5: it's weird. 921 00:56:07,800 --> 00:56:14,200 Speaker 4: Also, yet numerous studies prove a political, non ideological objective. 922 00:56:14,239 --> 00:56:18,600 Speaker 4: Studies prove that when you empower, when you empower women 923 00:56:18,960 --> 00:56:21,120 Speaker 4: or people who are able to carry a child with 924 00:56:21,640 --> 00:56:26,640 Speaker 4: UH with sexual education, objective sexual education and that fire 925 00:56:26,680 --> 00:56:31,880 Speaker 4: and brimstone stuff, then you will you will see positive, 926 00:56:32,000 --> 00:56:36,240 Speaker 4: substantial benefits to the society in which those people exist 927 00:56:36,400 --> 00:56:39,799 Speaker 4: and their quality of life, access to education, all of 928 00:56:39,840 --> 00:56:43,080 Speaker 4: it improves. It's better for everyone. I do want to 929 00:56:43,200 --> 00:56:46,120 Speaker 4: and I'm saying that to make up for my crass 930 00:56:46,760 --> 00:56:49,759 Speaker 4: last call at the bar joke and you find love 931 00:56:49,800 --> 00:56:50,480 Speaker 4: where you find it. 932 00:56:50,880 --> 00:56:52,920 Speaker 5: I would like to walk back now, walk back, but 933 00:56:52,960 --> 00:56:56,520 Speaker 5: I said it's down right on an American to cut 934 00:56:56,560 --> 00:56:59,560 Speaker 5: down on unplanned pregnancies. I say that as a dig 935 00:56:59,560 --> 00:57:03,399 Speaker 5: on myself. I was in a committed relationship, but our 936 00:57:03,440 --> 00:57:07,480 Speaker 5: pregnancy was absolutely not planned, and I wouldn't have it 937 00:57:07,480 --> 00:57:10,560 Speaker 5: any other way. I couldn't be happier being the father 938 00:57:10,680 --> 00:57:14,480 Speaker 5: of my amazing kid of fifteen now. But it certainly 939 00:57:14,560 --> 00:57:17,720 Speaker 5: wasn't at the time something that we, you know, intended. 940 00:57:17,800 --> 00:57:20,880 Speaker 5: But also I very much knew about all the things, 941 00:57:20,960 --> 00:57:23,040 Speaker 5: and I was just still kind of a dumb dumb 942 00:57:23,280 --> 00:57:25,640 Speaker 5: or we just weren't being careful because maybe it wasn't 943 00:57:25,680 --> 00:57:27,720 Speaker 5: like the worst thing that could happen, but we definitely 944 00:57:27,760 --> 00:57:28,720 Speaker 5: didn't do it on purpose. 945 00:57:29,200 --> 00:57:34,520 Speaker 4: I have a distinct memory now going to personally or 946 00:57:34,520 --> 00:57:36,400 Speaker 4: I have a distinct memory. I'm going to shout out 947 00:57:36,440 --> 00:57:41,400 Speaker 4: Coach C where I was at the time. Our sex 948 00:57:41,480 --> 00:57:45,760 Speaker 4: ad program in a relatively conservative part of the world 949 00:57:46,520 --> 00:57:50,880 Speaker 4: was the extra side work assigned to the football coach, 950 00:57:51,720 --> 00:57:54,480 Speaker 4: and it had a football voice, and so he knew 951 00:57:55,120 --> 00:57:59,040 Speaker 4: he took us all in his history segregated by sex 952 00:57:59,200 --> 00:58:01,640 Speaker 4: I'm sure he had to do social studies at some point, 953 00:58:01,680 --> 00:58:05,880 Speaker 4: but he's said they segregated the cohort by the biological 954 00:58:05,960 --> 00:58:08,160 Speaker 4: sex or whatever. And so he came out and he 955 00:58:08,240 --> 00:58:11,800 Speaker 4: had like one of those old pull down posters. It 956 00:58:11,960 --> 00:58:15,600 Speaker 4: was a diagram and he had like a little, you know, 957 00:58:15,680 --> 00:58:20,160 Speaker 4: a pointer thingy, and he goes, we all adults, and 958 00:58:20,240 --> 00:58:23,200 Speaker 4: someone's like, we're in seventh grade, and he goes, shut up, 959 00:58:23,640 --> 00:58:30,160 Speaker 4: this is a penis. But he dropped trou No, no, 960 00:58:30,240 --> 00:58:33,920 Speaker 4: he was only playing to the diagram guy. But but 961 00:58:34,000 --> 00:58:37,080 Speaker 4: we're saying, you know, again to your original point, Matt, 962 00:58:38,360 --> 00:58:40,480 Speaker 4: education and powers, you know what I mean? 963 00:58:40,760 --> 00:58:40,880 Speaker 2: Uh? 964 00:58:41,080 --> 00:58:44,760 Speaker 4: And that's why knowledge his power is a cliche and 965 00:58:44,840 --> 00:58:48,480 Speaker 4: Calhoun is onto something when he is just trying to 966 00:58:48,520 --> 00:58:52,320 Speaker 4: inform people, and he's been mischaracterized as a pessimist. A 967 00:58:52,440 --> 00:58:57,280 Speaker 4: lot of people on very extreme spectrums of social thinking 968 00:58:57,640 --> 00:59:01,880 Speaker 4: have weaponized his research in a way that he probably 969 00:59:02,080 --> 00:59:06,040 Speaker 4: would not agree with were he alive today. But also 970 00:59:06,280 --> 00:59:09,840 Speaker 4: on the way, man, if the afterlife is real, and 971 00:59:09,880 --> 00:59:12,880 Speaker 4: if you're listening, doctor Calhoun, thank you so much for 972 00:59:12,920 --> 00:59:15,680 Speaker 4: all the fiction you created too, and step with you know, 973 00:59:16,440 --> 00:59:20,480 Speaker 4: the crazy real world plans and with that Thank you 974 00:59:20,520 --> 00:59:21,800 Speaker 4: so much for tuning in. 975 00:59:21,840 --> 00:59:22,160 Speaker 1: Folks. 976 00:59:22,280 --> 00:59:24,040 Speaker 4: We think there's a lot here, a lot more to 977 00:59:24,200 --> 00:59:27,120 Speaker 4: dig into, and we touched on a lot of things 978 00:59:27,560 --> 00:59:30,960 Speaker 4: that mayrove you may have personal experience with in your 979 00:59:31,000 --> 00:59:33,320 Speaker 4: own life, in your own neck of these global woods. 980 00:59:33,600 --> 00:59:35,840 Speaker 4: So let us know. Would be very interested to hear 981 00:59:35,880 --> 00:59:39,600 Speaker 4: your favorite pieces of fiction inspired by Universe twenty five, 982 00:59:39,880 --> 00:59:45,040 Speaker 4: and we also love to hear, love to read your 983 00:59:45,200 --> 00:59:48,360 Speaker 4: take on what this does or does not apply about 984 00:59:48,440 --> 00:59:51,040 Speaker 4: human civilization. We try to be easy to find. 985 00:59:50,840 --> 00:59:57,400 Speaker 5: Online conspiracy stuff on Facebook, on x FK, Twitter, and 986 00:59:57,640 --> 01:00:01,800 Speaker 5: on YouTube. Check out the latest stalin of George Washington's 987 01:00:01,840 --> 01:00:07,120 Speaker 5: time travel adventures on Instagram and TikTok. We're Conspiracy Stuff Show. 988 01:00:07,440 --> 01:00:09,760 Speaker 2: We have a phone number. You can call it. It's 989 01:00:09,880 --> 01:00:14,720 Speaker 2: one eight three three st d WYTK. When you call in, 990 01:00:14,800 --> 01:00:17,040 Speaker 2: you've got three minutes. Say whatever you'd like do. Give 991 01:00:17,040 --> 01:00:19,080 Speaker 2: yourself a cool nickname, and let us know if we 992 01:00:19,120 --> 01:00:21,640 Speaker 2: can use your name and message on the air. If 993 01:00:21,680 --> 01:00:23,960 Speaker 2: you got more to say they can fit in that little, 994 01:00:24,080 --> 01:00:26,480 Speaker 2: tiny three minute message, why not instead send us a 995 01:00:26,480 --> 01:00:27,560 Speaker 2: good old fashioned email. 996 01:00:27,760 --> 01:00:31,120 Speaker 4: We are the folks who read every single email we get. 997 01:00:31,680 --> 01:00:34,680 Speaker 4: Tell us about Dragon Layer can't believe Don Blue made 998 01:00:34,760 --> 01:00:56,840 Speaker 4: Dragon Layer all right anyway? 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