1 00:00:07,200 --> 00:00:10,319 Speaker 1: Hey, everybody, Welcome to Creature Feature, the show where we 2 00:00:10,400 --> 00:00:14,040 Speaker 1: explore the brains of animals and people. You I got 3 00:00:14,160 --> 00:00:20,400 Speaker 1: brains on my shirt. Today we'll be talking about evil killers, kidnappers, murderers, 4 00:00:20,400 --> 00:00:25,120 Speaker 1: and hidden lurkers walking or crawling amongst us. Then we'll 5 00:00:25,160 --> 00:00:29,120 Speaker 1: answer the age old question, who's the most prolific serial meouder? 6 00:00:30,440 --> 00:00:34,120 Speaker 1: Does evil exist? There's not really an entry for evil 7 00:00:34,200 --> 00:00:37,599 Speaker 1: in the d s M, the Diagnostic and Statistical Manual 8 00:00:37,840 --> 00:00:42,919 Speaker 1: used by psychologists. General attempts to categorize evil has resulted 9 00:00:43,000 --> 00:00:46,480 Speaker 1: in the creation of the dark tetrad, a term used 10 00:00:46,479 --> 00:00:52,800 Speaker 1: for poor personality traits associated with bad behavior, narcissism, sadism, psychopathy, 11 00:00:52,800 --> 00:00:56,840 Speaker 1: and machiavellianism. These are traits that are often attributes of 12 00:00:56,920 --> 00:01:04,280 Speaker 1: people with maladaptive, dangerous personalities. So what does it mean 13 00:01:04,319 --> 00:01:07,520 Speaker 1: to be in the dark tetrad? We all know generally 14 00:01:07,560 --> 00:01:11,920 Speaker 1: the concept of narcissism, sadism, psychopathy, and mockavillianism, but what 15 00:01:12,040 --> 00:01:14,959 Speaker 1: does that actually look like in humans and even animals. 16 00:01:15,280 --> 00:01:18,280 Speaker 1: Let's take a look at narcissism. For example, the d 17 00:01:18,400 --> 00:01:21,920 Speaker 1: s MS definition for clinical levels of narcissism is someone 18 00:01:21,959 --> 00:01:25,840 Speaker 1: who has quote a grandiose sense of self importance and 19 00:01:25,959 --> 00:01:30,360 Speaker 1: shows arrogant, haughty behaviors or attitudes. I mean, you've almost 20 00:01:30,400 --> 00:01:34,600 Speaker 1: certainly encountered at least a subclinical narcissist, and no doubt 21 00:01:34,600 --> 00:01:37,360 Speaker 1: you could name a few celebrities and politicians who fit 22 00:01:37,400 --> 00:01:41,160 Speaker 1: the bill. But could you find narcissism and animals. Many 23 00:01:41,200 --> 00:01:44,640 Speaker 1: animals seem like narcissists, But even if you point the 24 00:01:44,680 --> 00:01:47,920 Speaker 1: finger at a totally self obsessed animals, say a house cat, 25 00:01:48,320 --> 00:01:50,639 Speaker 1: you could also argue they lack the sense of self 26 00:01:50,680 --> 00:01:54,320 Speaker 1: to be narcissists. Certainly, all Mintance seems to care about 27 00:01:54,400 --> 00:01:57,680 Speaker 1: as herself, but she may not fully comprehend that she 28 00:01:58,040 --> 00:02:01,640 Speaker 1: is a herself. So can you really be a narcissist? 29 00:02:02,360 --> 00:02:05,120 Speaker 1: This is the problem with trying to assign human traits 30 00:02:05,160 --> 00:02:08,520 Speaker 1: to animals. We can't get inside the animal's head and 31 00:02:08,600 --> 00:02:12,040 Speaker 1: know what it's thinking. An act that seems sadistic or 32 00:02:12,120 --> 00:02:15,680 Speaker 1: manipulative may be simply an instinct that allows the animal 33 00:02:15,720 --> 00:02:19,040 Speaker 1: to pass on its genes. It's impossible to know what 34 00:02:19,080 --> 00:02:22,320 Speaker 1: they're really feeling. But hey, this podcast is all about 35 00:02:22,360 --> 00:02:24,600 Speaker 1: the impossible, So we're going to look at the animals 36 00:02:24,639 --> 00:02:28,040 Speaker 1: that best symbolize each of the remaining characteristics of the 37 00:02:28,120 --> 00:02:33,839 Speaker 1: Dark tet tread sadism, psychopathy, and machiavellianism. We'll compare these 38 00:02:33,960 --> 00:02:37,920 Speaker 1: masters of evil with their human counterparts, exploring what it 39 00:02:37,919 --> 00:02:40,080 Speaker 1: means to be a member of the Dark tet Tread 40 00:02:40,560 --> 00:02:43,960 Speaker 1: and whether we can use modern scientific imaging to actually 41 00:02:44,040 --> 00:02:47,680 Speaker 1: quantify what it means to be a psychopath. Joining me 42 00:02:47,800 --> 00:02:50,480 Speaker 1: today on our journey into the dark is Ben Bolen 43 00:02:50,520 --> 00:02:55,120 Speaker 1: and Noel Brown, hosts of the podcast Ridiculous History. Welcome 44 00:02:55,160 --> 00:02:58,040 Speaker 1: to guys. Thanks for having us. Katie, Yeah, for sure, 45 00:02:58,400 --> 00:03:02,760 Speaker 1: so much. I'm already kind of terrified, Um, but I'm excited. 46 00:03:02,919 --> 00:03:05,680 Speaker 1: It's it's a weird feeling. I, for one, m and thrilled, 47 00:03:05,800 --> 00:03:10,280 Speaker 1: darkly thrilled. One of you were you were mentioning you 48 00:03:10,320 --> 00:03:13,919 Speaker 1: have a cat, would you describe your cat as a narcissist? Oh? Sure, 49 00:03:14,160 --> 00:03:16,799 Speaker 1: I mean he I don't know, it's weird. He's sort 50 00:03:16,800 --> 00:03:20,840 Speaker 1: of like flits between narcissism and outright psychopathy. Like I 51 00:03:20,880 --> 00:03:23,960 Speaker 1: was saying, he kind of leaves me little treats on 52 00:03:24,000 --> 00:03:27,120 Speaker 1: the front porch where it'll be like almost like splayed 53 00:03:27,160 --> 00:03:29,400 Speaker 1: out like some kind of satanic ritual. What will be 54 00:03:29,400 --> 00:03:31,120 Speaker 1: like the head of a squirrel and the body of 55 00:03:31,120 --> 00:03:33,280 Speaker 1: a rat, and then you know, kind of surrounded by 56 00:03:33,280 --> 00:03:36,920 Speaker 1: like viscera and like the shaping pentagram. Sometimes it's really 57 00:03:36,960 --> 00:03:39,080 Speaker 1: pretty scary. But then he snuggles up, you know, like 58 00:03:39,120 --> 00:03:41,360 Speaker 1: a good little guy. So I don't know what to 59 00:03:41,400 --> 00:03:42,960 Speaker 1: make of him. I do not know what to make 60 00:03:43,000 --> 00:03:44,680 Speaker 1: of him. I hope, I'm hoping I can learn from 61 00:03:44,720 --> 00:03:47,200 Speaker 1: this podcast today and kind of get inside his head 62 00:03:47,200 --> 00:03:49,440 Speaker 1: a little bit more and understand what makes him tick. Yeah. 63 00:03:49,440 --> 00:03:52,360 Speaker 1: And I mean, even dogs, to me are pretty narcissistic 64 00:03:52,440 --> 00:03:56,360 Speaker 1: because they, like my own dog, you associate them with 65 00:03:56,440 --> 00:03:59,840 Speaker 1: being selfless and loving towards humans. But she's a black 66 00:04:00,040 --> 00:04:05,360 Speaker 1: whole of neediness and desiring affection. So no matter how 67 00:04:05,440 --> 00:04:08,000 Speaker 1: much I pet her, like I feel like if I 68 00:04:08,040 --> 00:04:11,880 Speaker 1: was dying on the floor, her number one priority would 69 00:04:12,120 --> 00:04:16,560 Speaker 1: be to get another belly robe before I pass out. Yeah. 70 00:04:16,560 --> 00:04:18,040 Speaker 1: And then, as we all know too, if we if 71 00:04:18,080 --> 00:04:20,239 Speaker 1: we died alone in our apartments with just our cats 72 00:04:20,240 --> 00:04:22,960 Speaker 1: are our dogs, they would probably instantly start eating us. 73 00:04:22,960 --> 00:04:26,200 Speaker 1: But that's any animal would eventually begin eating you if 74 00:04:26,240 --> 00:04:28,400 Speaker 1: it were a pain. No, So is the love real, Ben, 75 00:04:28,520 --> 00:04:30,680 Speaker 1: that's my question. The love is real? But now we're 76 00:04:30,680 --> 00:04:33,800 Speaker 1: talking about the nature of the body versus the mind 77 00:04:33,920 --> 00:04:36,039 Speaker 1: or the soul, which I don't think is quite where 78 00:04:36,040 --> 00:04:38,440 Speaker 1: we're going with today's Well, you did say what is 79 00:04:38,480 --> 00:04:41,400 Speaker 1: evil is evil real, So I'm intrigued. Please let's let's 80 00:04:41,400 --> 00:04:45,479 Speaker 1: dive right in. There's a lot of curiosity around whether 81 00:04:45,520 --> 00:04:49,080 Speaker 1: animals can be statistic. A catterer dolphin who plays with 82 00:04:49,120 --> 00:04:53,839 Speaker 1: their heft dead prist seems statistic, but there's actually practicality 83 00:04:53,880 --> 00:04:57,840 Speaker 1: behind their cruelty. So take this example. Dolphins beat up 84 00:04:57,880 --> 00:05:01,760 Speaker 1: octopi before eating them, even after they're dead. This may 85 00:05:01,800 --> 00:05:05,320 Speaker 1: seem overkill, as if the dolphins simply can't stop their 86 00:05:05,400 --> 00:05:09,360 Speaker 1: murderous frenzy because they're having too much fun, but there's 87 00:05:09,400 --> 00:05:11,760 Speaker 1: actually a really good reason to play rugby with a 88 00:05:11,839 --> 00:05:16,919 Speaker 1: dead octopus. Octopi don't have centralized nervous systems, so after 89 00:05:16,960 --> 00:05:20,360 Speaker 1: they're dead, their tentacles can still move around. If an 90 00:05:20,360 --> 00:05:24,479 Speaker 1: overeager dolphin gobbles up an octopus who's dead but still wriggling, 91 00:05:24,760 --> 00:05:28,159 Speaker 1: those tentacles can crawl up its esophagus and choke the 92 00:05:28,160 --> 00:05:32,160 Speaker 1: dolphin too death. This is something that's actually been documented before. 93 00:05:32,839 --> 00:05:35,640 Speaker 1: So the dolphins beat the octopi to a pulp before 94 00:05:35,720 --> 00:05:39,280 Speaker 1: chowing down, preventing the octopi from getting its refine from 95 00:05:39,279 --> 00:05:43,880 Speaker 1: beyond its watery grave. So asking whether animals are statistic 96 00:05:44,040 --> 00:05:46,880 Speaker 1: is a tricky question. I'd wager I guess that yes, 97 00:05:46,960 --> 00:05:50,560 Speaker 1: more intelligent animals like dolphins are primates, may have fun 98 00:05:50,600 --> 00:05:54,520 Speaker 1: reeking doom and destruction, even if there's a good evolutionary 99 00:05:54,520 --> 00:05:57,080 Speaker 1: reason for it. But instead, I want to look at 100 00:05:57,080 --> 00:06:00,719 Speaker 1: how evolution itself can create a sadistic monster or void 101 00:06:00,760 --> 00:06:03,320 Speaker 1: of any emotion at all. To do that, we'll have 102 00:06:03,400 --> 00:06:06,520 Speaker 1: to take a look at tarantula's and in this case, 103 00:06:06,600 --> 00:06:09,599 Speaker 1: the tarantulas are the innocent victims of a much more 104 00:06:09,839 --> 00:06:16,440 Speaker 1: terrifying creature. So you, guys, imagine being captured by a 105 00:06:16,480 --> 00:06:21,839 Speaker 1: criminal sadist, being paralyzed by him, stuck inside like kill 106 00:06:21,920 --> 00:06:27,400 Speaker 1: shed totally at his mercy, completely paralyzed, Katie, I think 107 00:06:27,440 --> 00:06:30,760 Speaker 1: about that all the time. It's like, you know those 108 00:06:30,800 --> 00:06:34,560 Speaker 1: bad dreams where you you're like trying to run away 109 00:06:34,640 --> 00:06:40,360 Speaker 1: from a bad guy and you can't move your stupid body. Sure, 110 00:06:40,920 --> 00:06:43,839 Speaker 1: it's like this is really common recurring dream for me. 111 00:06:43,880 --> 00:06:45,880 Speaker 1: I'm like trying to run, but it just feels like 112 00:06:45,920 --> 00:06:48,200 Speaker 1: you're stuck in mud and then you you can't move 113 00:06:48,240 --> 00:06:51,239 Speaker 1: at all, and you try to scream, but you can't scream. 114 00:06:51,720 --> 00:06:53,400 Speaker 1: It's like that part of Nightmare on Elm Street where 115 00:06:53,480 --> 00:06:55,040 Speaker 1: where the where she's running up the stairs and she 116 00:06:55,040 --> 00:06:57,160 Speaker 1: starts sinking the stairs turning into marshmallows and she just 117 00:06:57,200 --> 00:06:59,840 Speaker 1: like sinks into it. Oh, I hate that, or like 118 00:07:00,360 --> 00:07:05,040 Speaker 1: or like the bed sinks under you. The fear of 119 00:07:05,279 --> 00:07:08,760 Speaker 1: moving slowly in dreams, of trying to run but being 120 00:07:08,839 --> 00:07:13,760 Speaker 1: unable to is I think slightly more common than the 121 00:07:13,840 --> 00:07:15,960 Speaker 1: other spooky one, which is the fear of your teeth 122 00:07:16,000 --> 00:07:20,120 Speaker 1: falling out in your dreams. Yeah. Yeah, that's a common 123 00:07:20,120 --> 00:07:23,120 Speaker 1: one to the body horror, either teeth, skin, or hair 124 00:07:23,400 --> 00:07:26,800 Speaker 1: just falling out. I get those ones too. I hate it, 125 00:07:26,960 --> 00:07:30,040 Speaker 1: like big chunks of skin falling off. It's the worst. 126 00:07:30,480 --> 00:07:33,920 Speaker 1: I have one question when when we talk about this, 127 00:07:33,920 --> 00:07:39,960 Speaker 1: this attack of paralysis, right, do the animal victims of 128 00:07:40,000 --> 00:07:43,320 Speaker 1: this sort of attack do they experience fear as we 129 00:07:43,320 --> 00:07:46,240 Speaker 1: would understand it, you know, I'm not sure. I mean, 130 00:07:46,480 --> 00:07:51,400 Speaker 1: so we're talking about tarantula's being the victims, so they're 131 00:07:51,560 --> 00:07:55,920 Speaker 1: terrorized by this thing called tarantula hawk. It's a sort 132 00:07:55,960 --> 00:08:01,080 Speaker 1: of wasp and I imagine if the tarantula is capable 133 00:08:01,160 --> 00:08:04,240 Speaker 1: of feeling anything at all, this is going to be 134 00:08:04,320 --> 00:08:07,640 Speaker 1: the scariest thing that ever happens to it. I feel 135 00:08:07,640 --> 00:08:11,720 Speaker 1: like tarantulas are probably just a little more advanced than 136 00:08:11,760 --> 00:08:14,600 Speaker 1: like a roomba in terms of their ability to like 137 00:08:14,960 --> 00:08:18,960 Speaker 1: sense things. But I feel like there's got to be 138 00:08:19,040 --> 00:08:23,000 Speaker 1: some kind of very primitive wiring that is able to 139 00:08:23,120 --> 00:08:28,320 Speaker 1: at least, you know, gets like some dim awareness of 140 00:08:28,640 --> 00:08:32,520 Speaker 1: being afraid of something so that they can survive. Probably 141 00:08:32,559 --> 00:08:37,280 Speaker 1: no other real cognition beyond that, but other than like, 142 00:08:37,600 --> 00:08:42,080 Speaker 1: uh yeah, probably just like an impending death kind of moment, 143 00:08:42,120 --> 00:08:44,560 Speaker 1: you know, where it's like funk, it's over, like oh 144 00:08:44,559 --> 00:08:48,320 Speaker 1: oh no, oh no. But the the tarantula hawk is 145 00:08:48,360 --> 00:08:50,600 Speaker 1: it Is it actually a hawk? No? No, it's so 146 00:08:50,800 --> 00:08:54,360 Speaker 1: it's a type of wasp. And if you look into 147 00:08:54,880 --> 00:09:01,839 Speaker 1: evolutionary biology, you'll find that of asshole behavior is by wasps. 148 00:09:03,000 --> 00:09:07,240 Speaker 1: Uh So, what these tarantula hawks do is they wait 149 00:09:07,280 --> 00:09:12,319 Speaker 1: outside of tarantula's burrow and they pluck at the tarantula's 150 00:09:12,400 --> 00:09:17,559 Speaker 1: webbing to lure the spider out. Because the trantulas create 151 00:09:17,640 --> 00:09:20,960 Speaker 1: this this little sort of dormat of webbing, so that 152 00:09:21,000 --> 00:09:23,640 Speaker 1: when an insect crawls across it, they know to pop 153 00:09:23,679 --> 00:09:27,559 Speaker 1: out and capture the prey. But instead of a juicy 154 00:09:27,600 --> 00:09:31,400 Speaker 1: little worm, it's the trantula hawk waiting for them, and 155 00:09:31,640 --> 00:09:36,679 Speaker 1: it stings the tarantula with a paralyzing venom, and so 156 00:09:36,760 --> 00:09:42,320 Speaker 1: the tarantula is frozen but still completely alive, and the 157 00:09:42,400 --> 00:09:46,360 Speaker 1: wasp drags the tarantula back to its burrow, where it 158 00:09:46,720 --> 00:09:50,640 Speaker 1: places the trantula snugly inside and then lays a single 159 00:09:50,679 --> 00:09:54,719 Speaker 1: egg on top of it. And I feel like, if 160 00:09:54,760 --> 00:09:59,680 Speaker 1: you're the tarantula, with whatever tarantula consciousness that you have, 161 00:10:00,040 --> 00:10:02,440 Speaker 1: if you can't move and you see someone laying egg 162 00:10:02,480 --> 00:10:04,600 Speaker 1: on top of you, this is the point where you're 163 00:10:04,600 --> 00:10:08,679 Speaker 1: going like, well, this is not going to be cool. Indeed, 164 00:10:08,720 --> 00:10:12,760 Speaker 1: it's not cool for the tarantula. So the hawk the 165 00:10:13,040 --> 00:10:17,559 Speaker 1: wasp buries the tarantula alive and tamps down the earth. 166 00:10:18,280 --> 00:10:22,000 Speaker 1: So it's stuck in there, still alive, buried alive, with 167 00:10:22,280 --> 00:10:27,120 Speaker 1: this little baby hatching on top of it. So the 168 00:10:27,160 --> 00:10:31,320 Speaker 1: wasp larva will feed on the live flesh of the 169 00:10:31,400 --> 00:10:36,240 Speaker 1: tarantula for up to a month. That's like the buffalo 170 00:10:36,320 --> 00:10:38,839 Speaker 1: bill of the animal kingdom right there, and this is 171 00:10:38,960 --> 00:10:41,679 Speaker 1: this is terrifying. Why is it? Why? Why is this 172 00:10:41,800 --> 00:10:44,720 Speaker 1: so adapted to do this bizarre thing like that? It 173 00:10:44,760 --> 00:10:47,160 Speaker 1: seems like such a stretch, like how, I mean, how, 174 00:10:47,200 --> 00:10:50,000 Speaker 1: how how did this creature come up with this idea? 175 00:10:50,280 --> 00:10:52,240 Speaker 1: I mean, that's a stilly way of asking it. We'll 176 00:10:52,280 --> 00:10:55,880 Speaker 1: think about it this way, like when you you know, animals, 177 00:10:56,120 --> 00:10:59,840 Speaker 1: especially like wasps, they don't have refrigerators, so they can't 178 00:11:00,400 --> 00:11:05,360 Speaker 1: keep food fresh for their young as it hatches and develops. 179 00:11:05,400 --> 00:11:10,040 Speaker 1: So by burying their larva, they're keeping it safe from predators. 180 00:11:10,040 --> 00:11:12,760 Speaker 1: But you know, if you bury it with some dead prey, 181 00:11:12,800 --> 00:11:14,640 Speaker 1: it can feed off of it for a while, but 182 00:11:14,720 --> 00:11:17,720 Speaker 1: eventually that's going to go bad and it can't eat 183 00:11:17,760 --> 00:11:22,440 Speaker 1: it anymore. But by feeding on something that's alive, it 184 00:11:22,640 --> 00:11:27,920 Speaker 1: will stay fresh. So actually, some species of the tarantula 185 00:11:28,080 --> 00:11:31,640 Speaker 1: hawks will feed on non vital organs first, so that 186 00:11:31,720 --> 00:11:35,880 Speaker 1: the tarantula remains alive longer and that gives it more 187 00:11:36,040 --> 00:11:40,000 Speaker 1: opportunities to feed. Makes sense, makes sense. I have a 188 00:11:40,120 --> 00:11:44,120 Speaker 1: quick question here, Katie. So you know how serial killers 189 00:11:44,480 --> 00:11:48,920 Speaker 1: are often known for their specific m O, either in 190 00:11:48,960 --> 00:11:51,720 Speaker 1: the way that they commit murder or in the types 191 00:11:51,760 --> 00:11:56,640 Speaker 1: of victims they choose are different species of tarantula hawk 192 00:11:57,400 --> 00:11:59,439 Speaker 1: Do they operate in a similar way. Do they only 193 00:11:59,480 --> 00:12:03,240 Speaker 1: prey on specific types of tarantulas or is it any 194 00:12:03,440 --> 00:12:06,960 Speaker 1: hairy arachnet out there is fair game? Yeah? No, they 195 00:12:07,040 --> 00:12:10,960 Speaker 1: they are often very specific in terms of the way 196 00:12:10,960 --> 00:12:15,280 Speaker 1: that they kill, in which species of tarantula that they 197 00:12:15,360 --> 00:12:19,440 Speaker 1: go after, because it's such a specified strategy because you 198 00:12:19,480 --> 00:12:23,480 Speaker 1: need a tarantula that is a burrowing type of tarantula 199 00:12:24,080 --> 00:12:27,240 Speaker 1: um and so that's not going to be every every 200 00:12:27,280 --> 00:12:31,640 Speaker 1: spider it's there. Very specific strategy isn't gonna work. So 201 00:12:31,720 --> 00:12:35,760 Speaker 1: it's picked these cute little I mean to me, they're cute, 202 00:12:35,880 --> 00:12:38,760 Speaker 1: the tarantulas that like hiding their little holes and then 203 00:12:38,800 --> 00:12:41,200 Speaker 1: as soon as a little prey comes by, they're like, oh, 204 00:12:41,360 --> 00:12:44,319 Speaker 1: got you, But this time they're the ones who are 205 00:12:44,400 --> 00:12:49,680 Speaker 1: got So Also, it actually gets more specific because female 206 00:12:49,720 --> 00:12:53,440 Speaker 1: tarantulas are the ones that are the killers. Males just 207 00:12:53,600 --> 00:12:57,840 Speaker 1: hang around flowers and try to get laid. So the 208 00:12:58,000 --> 00:13:01,520 Speaker 1: mother actually will select the gender of the larva based 209 00:13:01,559 --> 00:13:04,880 Speaker 1: on how big their victim is. If they have a 210 00:13:04,880 --> 00:13:09,600 Speaker 1: big tarantula that they've buried alive, then the mother will 211 00:13:09,640 --> 00:13:12,640 Speaker 1: fertilize the egg, which creates a female because the females 212 00:13:12,679 --> 00:13:15,880 Speaker 1: are the big, tough serial killers and the males are 213 00:13:15,920 --> 00:13:21,960 Speaker 1: these little, smaller flower drinking dudes. And so if the 214 00:13:22,080 --> 00:13:24,800 Speaker 1: tarantula is small, you know, it's like the male doesn't 215 00:13:24,880 --> 00:13:28,520 Speaker 1: require as much nutrition to develop, so the wasp believe 216 00:13:28,600 --> 00:13:33,280 Speaker 1: the egg unfertilized and then that creates a male baby. 217 00:13:33,360 --> 00:13:36,840 Speaker 1: And adults are actually non carnivorous, so it's just the 218 00:13:36,880 --> 00:13:39,640 Speaker 1: babies that eat the meat. The adults just like to 219 00:13:39,720 --> 00:13:44,120 Speaker 1: drink flower nectar and then abducted murdered tarantula's well, yeah 220 00:13:44,120 --> 00:13:48,160 Speaker 1: that too. It's sort of like have you guys seen 221 00:13:48,480 --> 00:13:51,080 Speaker 1: what is it? Um? What's that movie? It's not called? 222 00:13:51,240 --> 00:13:55,680 Speaker 1: Is it Split? The one with James McAvoy, Yes, yes, 223 00:13:55,760 --> 00:13:59,280 Speaker 1: he has multiple personalities? Yeah yeah, and the one like 224 00:13:59,440 --> 00:14:02,680 Speaker 1: he has like the mother personality or he's like I've 225 00:14:02,720 --> 00:14:06,480 Speaker 1: made you a sandwich and like he's stroking her hair 226 00:14:06,559 --> 00:14:09,080 Speaker 1: and stuff. It makes me think of that, these like 227 00:14:09,200 --> 00:14:13,360 Speaker 1: wasp that like, oh, I like to drink flour nectar anyways, 228 00:14:13,520 --> 00:14:17,680 Speaker 1: enjoy being paralyzed while my baby eat you? Yeahike? So 229 00:14:17,720 --> 00:14:20,680 Speaker 1: how long does it take to kill the tarantela? Like? 230 00:14:20,680 --> 00:14:24,640 Speaker 1: How long does this horrible torture porn go on. It 231 00:14:24,680 --> 00:14:27,360 Speaker 1: can be up to a month, which is crazy to 232 00:14:27,440 --> 00:14:30,000 Speaker 1: me because like, that's such a long time to be 233 00:14:30,120 --> 00:14:33,920 Speaker 1: slowly eaten. It's like being in a sarlac pit. It's 234 00:14:33,960 --> 00:14:36,440 Speaker 1: just do they even do they even do them the 235 00:14:36,520 --> 00:14:39,680 Speaker 1: kindness of reinjecting them with the paralyzing venom, or does 236 00:14:39,720 --> 00:14:41,600 Speaker 1: that eventually just wear off once they're buried and they 237 00:14:41,640 --> 00:14:45,840 Speaker 1: don't even care anymore. I think it will eventually wear off, 238 00:14:45,840 --> 00:14:48,680 Speaker 1: but I think they'll most likely die before it does. 239 00:14:48,760 --> 00:14:52,120 Speaker 1: And also the they're packed in so tight inside the 240 00:14:52,160 --> 00:14:56,880 Speaker 1: dirt they can't move anyways. It's every nightmare combined into one, 241 00:14:56,920 --> 00:15:01,560 Speaker 1: like being paralyzed, being eaten alive, being married alive, and 242 00:15:01,600 --> 00:15:04,240 Speaker 1: having a baby eating you as the baby part is 243 00:15:04,240 --> 00:15:06,520 Speaker 1: extra creepy. That's to me, that's the kicker. I don't 244 00:15:06,520 --> 00:15:08,920 Speaker 1: know why. Something about the baby eating you from the 245 00:15:08,920 --> 00:15:12,560 Speaker 1: top down is just really really awful, because even human 246 00:15:12,640 --> 00:15:15,840 Speaker 1: murderers don't do that. That's one of the big differences, 247 00:15:16,120 --> 00:15:21,040 Speaker 1: very special kind of evil. There aren't typically baby murderers, 248 00:15:21,240 --> 00:15:24,520 Speaker 1: although there are children who can be murders, but I 249 00:15:24,560 --> 00:15:29,680 Speaker 1: don't think infants have yet done a murder. It's a 250 00:15:29,760 --> 00:15:34,280 Speaker 1: different show. So good news you guys. Tarantula hawks are 251 00:15:34,320 --> 00:15:38,920 Speaker 1: found all over the world, including Australia, which duck because 252 00:15:38,960 --> 00:15:44,200 Speaker 1: Australia is just home to every monster. They're also in Africa, 253 00:15:44,440 --> 00:15:50,720 Speaker 1: Southeast Asia, India, and also America. They're even in San Diego, California, 254 00:15:50,760 --> 00:15:56,200 Speaker 1: which is my hometown. That's astonishing. Yeah, we're you able 255 00:15:56,240 --> 00:15:58,880 Speaker 1: to find any video of this process going down. I 256 00:15:58,880 --> 00:16:02,960 Speaker 1: would love slash. Yeah, I could totally send you guys 257 00:16:03,000 --> 00:16:07,000 Speaker 1: something like that. It's I have seen it. It's pretty 258 00:16:07,120 --> 00:16:11,280 Speaker 1: gnarly because you see this wasp attached itself to the 259 00:16:11,360 --> 00:16:14,280 Speaker 1: tarantula and then there's a scuffle and then the tarantula 260 00:16:14,520 --> 00:16:18,040 Speaker 1: slowly starts to go very still, and that's when the 261 00:16:18,120 --> 00:16:21,280 Speaker 1: dread sets in. Yeah, it was. It was as as 262 00:16:21,280 --> 00:16:24,320 Speaker 1: you were walking us through this process. I was watching 263 00:16:24,920 --> 00:16:29,920 Speaker 1: a video of a child who is watching this intense 264 00:16:30,120 --> 00:16:36,520 Speaker 1: deathmatch and kidnapping, abduction, burial of a tarantula, and even 265 00:16:36,520 --> 00:16:39,480 Speaker 1: the kid seems to I think this is this is 266 00:16:39,520 --> 00:16:42,680 Speaker 1: a little brutal. You can see the tarantula attempt to 267 00:16:43,040 --> 00:16:46,920 Speaker 1: escape as the paralytic agent is kicking in. But I 268 00:16:47,000 --> 00:16:49,720 Speaker 1: was surprised by the size because at least in what 269 00:16:49,800 --> 00:16:55,200 Speaker 1: we're seeing here, the tarantula hawk looks significantly smaller than 270 00:16:55,440 --> 00:17:00,520 Speaker 1: the creature it's attacking. Yeah, and that's why it's having 271 00:17:00,560 --> 00:17:04,520 Speaker 1: the ability to paralyze the tarantula is so important because 272 00:17:04,560 --> 00:17:09,800 Speaker 1: it's using it's Smart's not really because wasps are done, 273 00:17:09,880 --> 00:17:14,359 Speaker 1: but in evolutionary terms, like this intelligent strategy over the 274 00:17:14,520 --> 00:17:20,840 Speaker 1: brawn of the tarantula. That sting is extremely powerful. So 275 00:17:21,000 --> 00:17:27,679 Speaker 1: there's this entomologist Dr Justin Schmidt from the Southwestern Biological Institute, 276 00:17:27,720 --> 00:17:32,159 Speaker 1: and he created a sting pain index, and ah, he 277 00:17:32,240 --> 00:17:37,040 Speaker 1: says the Transla hawks sting is quote unsurpassed and intensity 278 00:17:37,040 --> 00:17:41,080 Speaker 1: by any other stinging insect and that a sting feels 279 00:17:41,119 --> 00:17:44,040 Speaker 1: like a lightning bolt struck the spot. The pain is 280 00:17:44,119 --> 00:17:48,080 Speaker 1: beyond imagination. And you want to know why he knows this? 281 00:17:48,680 --> 00:17:56,640 Speaker 1: Did he sting himself up? This crazy bastard like just 282 00:17:57,880 --> 00:18:01,639 Speaker 1: created the sting pain Inda by finding a bunch of 283 00:18:01,720 --> 00:18:05,040 Speaker 1: insects that sting and then having them sting himself and 284 00:18:05,040 --> 00:18:08,040 Speaker 1: then rating it like, oh yeah, that's yep, that's a 285 00:18:08,119 --> 00:18:11,080 Speaker 1: tim How is that guy? Is he still alive? I 286 00:18:11,080 --> 00:18:13,920 Speaker 1: don't want to I don't want to sound insensitive, Okay, yeah, 287 00:18:13,920 --> 00:18:18,120 Speaker 1: I don't think he's killed himself with insects things, just 288 00:18:18,400 --> 00:18:23,760 Speaker 1: subjected himself to quote unimaginable pain. Now from if if 289 00:18:23,920 --> 00:18:29,280 Speaker 1: what I remember is correct, wasps are notorious for they're 290 00:18:29,359 --> 00:18:33,040 Speaker 1: just attacking human beings who happen to be around their 291 00:18:33,080 --> 00:18:36,600 Speaker 1: general vicinity. Are tarantula hawks that way too? Or do 292 00:18:36,680 --> 00:18:39,439 Speaker 1: they have to be you know, provoked or prodded? They 293 00:18:39,480 --> 00:18:42,360 Speaker 1: have to be provoked. So the silver lining is they're 294 00:18:42,400 --> 00:18:47,760 Speaker 1: actually pretty non aggressive towards anything except for obviously tarantulas. 295 00:18:48,320 --> 00:18:50,280 Speaker 1: But I mean, if you get one caught like in 296 00:18:50,359 --> 00:18:55,040 Speaker 1: your sweater, it'll probably sting you out of a fear response. 297 00:18:55,160 --> 00:18:58,320 Speaker 1: But yeah, they don't go around trying to attack people, 298 00:18:58,359 --> 00:19:03,520 Speaker 1: which think I because that would be terrible. But if 299 00:19:03,560 --> 00:19:07,960 Speaker 1: you're a tarantula, you know not not such good luck? Wow? 300 00:19:08,000 --> 00:19:11,840 Speaker 1: And they're so widespread. Yeah, so I guess then one 301 00:19:11,880 --> 00:19:14,359 Speaker 1: of the big questions keep I keep going back to 302 00:19:14,720 --> 00:19:19,199 Speaker 1: is is this evil? Because it sounds like this is 303 00:19:20,119 --> 00:19:25,480 Speaker 1: while it's horrific for the tarantula, the victim, the incubator, 304 00:19:26,080 --> 00:19:30,320 Speaker 1: it seems like it's the only way for these uh, 305 00:19:30,359 --> 00:19:34,480 Speaker 1: these creatures to reproduce. Is that correct? Like there's no alternative, right, 306 00:19:34,520 --> 00:19:37,120 Speaker 1: and so this is like, this is the key question 307 00:19:37,400 --> 00:19:41,280 Speaker 1: is now, I don't think a wasp is capable of 308 00:19:41,320 --> 00:19:44,440 Speaker 1: being evil in the sense that we kind of define 309 00:19:44,480 --> 00:19:48,439 Speaker 1: it because they're so simple. They're basically like robots. So 310 00:19:48,480 --> 00:19:52,359 Speaker 1: it's like you wouldn't necessarily describe a virus as being 311 00:19:52,520 --> 00:19:56,440 Speaker 1: evil because it's so simple, and even the wasps are 312 00:19:56,440 --> 00:19:59,800 Speaker 1: a great deal more complex than virus. I don't think 313 00:19:59,800 --> 00:20:04,399 Speaker 1: they can have like the intent or the awareness to 314 00:20:04,480 --> 00:20:07,119 Speaker 1: be evil. But when you look at it, like you 315 00:20:07,200 --> 00:20:09,400 Speaker 1: kind of take a step back and look at it 316 00:20:09,560 --> 00:20:14,240 Speaker 1: from like an evolutionary perspective, where it's sort of more 317 00:20:14,320 --> 00:20:20,040 Speaker 1: of this emergent intelligence from millions of years of evolution, 318 00:20:21,040 --> 00:20:24,639 Speaker 1: I mean, maybe you can define that as evil. You know, 319 00:20:24,680 --> 00:20:27,560 Speaker 1: I'm not talking about like intelligent design or like some 320 00:20:27,880 --> 00:20:32,640 Speaker 1: god controlling evolution, talking about like, you know, you have 321 00:20:32,840 --> 00:20:37,159 Speaker 1: this sort of like guiding force of evolution that is 322 00:20:37,240 --> 00:20:39,760 Speaker 1: its own sort of like I mean, it is it 323 00:20:39,880 --> 00:20:43,359 Speaker 1: is a form of intelligence where it's like you have 324 00:20:43,480 --> 00:20:45,800 Speaker 1: to really zoom out to see it, where it's just 325 00:20:45,960 --> 00:20:49,240 Speaker 1: millions and millions of years of these small changes resulting 326 00:20:49,280 --> 00:20:54,120 Speaker 1: in something that's so so messed up, and maybe that's 327 00:20:54,119 --> 00:20:56,280 Speaker 1: like a natural form of evil. I don't know. I 328 00:20:56,280 --> 00:21:00,080 Speaker 1: guess that's a very philosophical question. Well, I think it is. 329 00:21:00,119 --> 00:21:03,320 Speaker 1: But it's also interesting because so much of psychopathy is 330 00:21:03,480 --> 00:21:09,280 Speaker 1: almost like reptilian type behavior, or like non feeling, non 331 00:21:09,280 --> 00:21:11,560 Speaker 1: empathetic type behavior, which is the kind of things that 332 00:21:11,600 --> 00:21:14,720 Speaker 1: an insect like this would do. Like there's no feeling 333 00:21:15,200 --> 00:21:18,399 Speaker 1: about it. It's just, you know, I must feed, I 334 00:21:18,480 --> 00:21:20,280 Speaker 1: must feed my baby, and this is how I'm going 335 00:21:20,320 --> 00:21:22,800 Speaker 1: to go about doing it. It's very callous, for lack 336 00:21:22,800 --> 00:21:24,400 Speaker 1: of a better term, you know, but you're right, there's 337 00:21:24,400 --> 00:21:27,160 Speaker 1: no cognition involved. It's just the thing that makes sense 338 00:21:27,160 --> 00:21:29,600 Speaker 1: and that it's adapted perfectly to do. But I think 339 00:21:29,600 --> 00:21:33,040 Speaker 1: we ascribe those kind of things to psychopaths as well, right, 340 00:21:33,119 --> 00:21:36,399 Speaker 1: because I think with a human we're like, you should 341 00:21:36,480 --> 00:21:39,440 Speaker 1: be capable of empathy. But then it it's a really 342 00:21:39,520 --> 00:21:43,040 Speaker 1: uncomfortable question because it's a little more clear when you're 343 00:21:43,040 --> 00:21:46,200 Speaker 1: looking at a wasp that okay, of course it doesn't 344 00:21:46,280 --> 00:21:49,760 Speaker 1: understand what it's doing. But you could also make that 345 00:21:49,880 --> 00:21:54,280 Speaker 1: argument for humans who can't feel empathy, like they may 346 00:21:54,520 --> 00:21:58,479 Speaker 1: truly not understand the gravity of what they're doing. And 347 00:21:58,520 --> 00:22:00,720 Speaker 1: then is that sort of like the up where you 348 00:22:00,760 --> 00:22:04,160 Speaker 1: can't really blame them, or is there something else going 349 00:22:04,200 --> 00:22:06,160 Speaker 1: on with people where it's like, well you should be 350 00:22:06,280 --> 00:22:10,119 Speaker 1: smart enough to figure out, like does there even need 351 00:22:10,160 --> 00:22:13,120 Speaker 1: to be like an intentionality behind evil, because like if 352 00:22:13,119 --> 00:22:16,840 Speaker 1: it's defined as something where it's like you're incapable of 353 00:22:16,880 --> 00:22:22,880 Speaker 1: feeling mercy or empathy, then maybe just like evil doesn't 354 00:22:23,080 --> 00:22:26,720 Speaker 1: need to be like intentionally evil. It's just a force 355 00:22:26,800 --> 00:22:31,400 Speaker 1: that doesn't have empathy and then causes harm. So then 356 00:22:31,440 --> 00:22:35,800 Speaker 1: we would be defining evil as not the addition of 357 00:22:35,840 --> 00:22:39,919 Speaker 1: something nefarious or insidious, but the absence of an alternative, 358 00:22:40,440 --> 00:22:47,400 Speaker 1: long term evolutionary strategy, because that's what empathy ultimately functions as, right, right, right, Yeah, 359 00:22:47,440 --> 00:22:49,800 Speaker 1: that's really interesting. It's like we have because there are 360 00:22:49,840 --> 00:22:54,640 Speaker 1: some animals who have evolved a survival strategy that could 361 00:22:54,640 --> 00:22:58,240 Speaker 1: be seen as like good. So like bees are so 362 00:22:58,240 --> 00:23:02,240 Speaker 1: social and help each other. So you know a lot 363 00:23:02,280 --> 00:23:05,520 Speaker 1: of these youth social animals, so like these and ants 364 00:23:05,560 --> 00:23:09,000 Speaker 1: and even naked mole rats, they all seem to team 365 00:23:09,080 --> 00:23:11,200 Speaker 1: up and pitch in and help each other and care 366 00:23:11,200 --> 00:23:15,159 Speaker 1: about each other um as much as like a bee can. 367 00:23:15,320 --> 00:23:19,760 Speaker 1: But it does seem like a kinder sort of animal 368 00:23:20,040 --> 00:23:22,800 Speaker 1: in general than a wasp, even though if you take 369 00:23:22,840 --> 00:23:26,439 Speaker 1: a bee and a wasp individually, they don't really I 370 00:23:26,480 --> 00:23:29,000 Speaker 1: don't think they can feel kindness. But you look at 371 00:23:29,040 --> 00:23:32,320 Speaker 1: the whole the group of them, like a bee colony 372 00:23:32,440 --> 00:23:37,320 Speaker 1: does seem to have empathy, for it's like each other 373 00:23:37,400 --> 00:23:41,080 Speaker 1: in a weird way. So what would a tarantula hawk 374 00:23:41,400 --> 00:23:44,880 Speaker 1: be in terms of the dark triad or dark tetrat? 375 00:23:44,960 --> 00:23:48,880 Speaker 1: Would they would they qualify as a sadist? Yeah, that's 376 00:23:48,920 --> 00:23:52,520 Speaker 1: what I'm thinking, Like these very sadistic because like to 377 00:23:52,680 --> 00:23:57,000 Speaker 1: keep something alive for up to a month and then 378 00:23:57,000 --> 00:24:02,000 Speaker 1: slowly feed on it. It's just so it seems so 379 00:24:02,240 --> 00:24:06,760 Speaker 1: unnecessarily cruel, even though, as we've talked about it, there 380 00:24:06,920 --> 00:24:10,320 Speaker 1: is a reason for it. Yeah, I think that checks out. 381 00:24:12,840 --> 00:24:15,800 Speaker 1: As we've just discussed in the Animal Kingdom, some of 382 00:24:15,840 --> 00:24:20,120 Speaker 1: the most terrifying examples of sadism are due to reproductive 383 00:24:20,200 --> 00:24:23,720 Speaker 1: needs in humans. Some of the most dangerous people are 384 00:24:23,760 --> 00:24:28,280 Speaker 1: those who somehow link sexuality to sadism. This is called 385 00:24:28,320 --> 00:24:32,160 Speaker 1: a paraphilia. It's a form of sexuality that is atypical 386 00:24:32,359 --> 00:24:36,800 Speaker 1: or pathological. Now a huge disclaimer here, I'm not talking 387 00:24:36,840 --> 00:24:40,240 Speaker 1: about the b D s M community. People who engage 388 00:24:40,240 --> 00:24:42,320 Speaker 1: in b D s M are very different from those 389 00:24:42,359 --> 00:24:46,440 Speaker 1: with sexual sadism disorder, the key thing being consent and 390 00:24:46,640 --> 00:24:52,200 Speaker 1: healthy communication. For media SIM practitioners, consent is extremely important. 391 00:24:52,600 --> 00:24:56,359 Speaker 1: They may find sadistic acts or masochistic acts to be 392 00:24:56,840 --> 00:25:00,720 Speaker 1: sexually arousing, but not unless their partner is equal interested. 393 00:25:01,440 --> 00:25:04,280 Speaker 1: That's why safe words, setting, clear boundaries, and a lot 394 00:25:04,280 --> 00:25:07,800 Speaker 1: of discussion is often present in these communities. And it's 395 00:25:07,800 --> 00:25:10,480 Speaker 1: also why psychologists don't consider b D s M to 396 00:25:10,560 --> 00:25:13,520 Speaker 1: be a disorder. They aren't causing harm to themselves or 397 00:25:13,560 --> 00:25:19,120 Speaker 1: others well, I mean psychologically speaking, but sexual sadism disorder 398 00:25:19,280 --> 00:25:22,359 Speaker 1: is different. People with this disorder are aroused by the 399 00:25:22,400 --> 00:25:25,560 Speaker 1: suffering of others, and the disorder is either harmful to 400 00:25:25,680 --> 00:25:29,880 Speaker 1: the individual who might find it disturbing or upsetting, or 401 00:25:29,920 --> 00:25:33,320 Speaker 1: to others in the case of sex offenders who seek 402 00:25:33,320 --> 00:25:37,120 Speaker 1: out non consent and victims. What I find interesting is 403 00:25:37,200 --> 00:25:40,960 Speaker 1: the difference between people with sexual stadium disorder who choose 404 00:25:41,040 --> 00:25:43,840 Speaker 1: not to act on it and those who do, meaning 405 00:25:43,880 --> 00:25:46,840 Speaker 1: that there are some who either have empathy or at 406 00:25:46,920 --> 00:25:50,960 Speaker 1: least a fear of consequences while still feeling these sadistic urges. 407 00:25:51,760 --> 00:25:55,080 Speaker 1: I had a clinical psychology professor who put it this way. 408 00:25:55,560 --> 00:25:59,800 Speaker 1: The explosive combination is having both a sadistic paraphilia and 409 00:25:59,840 --> 00:26:03,359 Speaker 1: a clinical lack of empathy. Those are the ingredients to 410 00:26:03,400 --> 00:26:07,440 Speaker 1: make most types of serial killers. So after a quick break, 411 00:26:07,560 --> 00:26:09,280 Speaker 1: that will bring us to our next member of the 412 00:26:09,359 --> 00:26:20,800 Speaker 1: dark tetrad, this psychopath. So how do you spot a 413 00:26:20,880 --> 00:26:24,280 Speaker 1: psychopath by the cold look of cruel and difference in 414 00:26:24,320 --> 00:26:28,680 Speaker 1: their glassy eyes, the pile of bodies in their basements? Well, 415 00:26:28,680 --> 00:26:33,360 Speaker 1: what about with technology? Psychologists have attempted to quantify psychopathy 416 00:26:33,480 --> 00:26:36,159 Speaker 1: using brain imaging, which leads us to one of the 417 00:26:36,200 --> 00:26:40,600 Speaker 1: most interesting stories in brain research. James Fallon is a 418 00:26:40,640 --> 00:26:44,720 Speaker 1: neuroscientist who is interested in looking at the anatomical characteristics 419 00:26:44,760 --> 00:26:48,240 Speaker 1: found in the brains of serial killers. He found a 420 00:26:48,320 --> 00:26:51,760 Speaker 1: pattern of abnormalities and the PET scans of these killers 421 00:26:51,960 --> 00:26:56,560 Speaker 1: showing structural aberrations in the orbital cortex, the prefrontal cortex, 422 00:26:56,920 --> 00:27:00,840 Speaker 1: the ventral anterior singulate, and the omega LA. As he 423 00:27:01,000 --> 00:27:03,920 Speaker 1: was shuffling through piles of brain scans on his desk, 424 00:27:04,080 --> 00:27:06,640 Speaker 1: he was looking through a file on his family's brain 425 00:27:06,680 --> 00:27:10,840 Speaker 1: scans taken for another study on Alzheimer's. One of the 426 00:27:10,920 --> 00:27:16,119 Speaker 1: scans had the clear structural abnormalities consistent with psychopathy. Curious 427 00:27:16,240 --> 00:27:18,840 Speaker 1: as to who and his family was a psychopath, he 428 00:27:18,880 --> 00:27:21,600 Speaker 1: looked up the name and was surprised to find it 429 00:27:21,680 --> 00:27:26,240 Speaker 1: was his own brain scan. Obviously, he wasn't a violent killer, 430 00:27:26,359 --> 00:27:28,879 Speaker 1: so first he wondered if all his research about the 431 00:27:28,920 --> 00:27:33,080 Speaker 1: psychopathic brain was just wrong. But when he took genetic tests, 432 00:27:33,240 --> 00:27:35,920 Speaker 1: he found that he also had a reels associated with 433 00:27:36,000 --> 00:27:40,400 Speaker 1: people high at risk for exhibiting violent behavior. He did 434 00:27:40,480 --> 00:27:43,480 Speaker 1: some introspection and decided, instead of it being a fluke, 435 00:27:43,680 --> 00:27:47,240 Speaker 1: he may very well have a psychopathic brain. But due 436 00:27:47,320 --> 00:27:50,600 Speaker 1: to his loving upbringing with parents and siblings who were 437 00:27:50,600 --> 00:27:53,679 Speaker 1: devoted to him, he suspects he was able to avoid 438 00:27:53,760 --> 00:27:57,640 Speaker 1: the more frightening violent traits of the psychopath. But when 439 00:27:57,720 --> 00:28:00,200 Speaker 1: nature is left to her own devices, what kind of 440 00:28:00,320 --> 00:28:04,840 Speaker 1: deadly killers does she concoct? The deadliest serial killers are 441 00:28:04,840 --> 00:28:07,840 Speaker 1: often harmless looking. They blend right in, allowing them to 442 00:28:07,880 --> 00:28:11,800 Speaker 1: continue their killing while raising no alarms. As we'll find out, 443 00:28:11,880 --> 00:28:16,399 Speaker 1: this is true both in human society and the animal kingdom. 444 00:28:16,440 --> 00:28:21,520 Speaker 1: So speaking of psychopaths, let's talk about cats. Uh So, guys, 445 00:28:21,800 --> 00:28:25,440 Speaker 1: which wildcat would you guess is the most prolific serial 446 00:28:25,640 --> 00:28:31,680 Speaker 1: killers of them all? Uh, wildcats specifically, Let's see, it's 447 00:28:31,720 --> 00:28:36,240 Speaker 1: probably it's probably smaller than one would imagine because naturally 448 00:28:36,240 --> 00:28:39,960 Speaker 1: people would think something large, like a tiger or maybe 449 00:28:39,960 --> 00:28:43,240 Speaker 1: a lion. But I'm going to go with something smaller, 450 00:28:43,360 --> 00:28:49,000 Speaker 1: maybe a bobcat or a wildcat. That's a really intelligent gift, yeah, 451 00:28:49,080 --> 00:28:52,360 Speaker 1: because like you have these huge predator cats, so like 452 00:28:52,480 --> 00:28:56,240 Speaker 1: lions seem really formidable. I mean, they have a thousand 453 00:28:56,400 --> 00:29:00,520 Speaker 1: ps i of force for their jaw strength, so just 454 00:29:00,680 --> 00:29:04,080 Speaker 1: for comparison, we only have about two p s i, 455 00:29:04,280 --> 00:29:08,440 Speaker 1: so they're so powerful. And you know, there's also like 456 00:29:08,480 --> 00:29:12,000 Speaker 1: the more sleek ones like cheetahs who can run up 457 00:29:12,000 --> 00:29:16,160 Speaker 1: to seventy five miles an hour and jaguars who are 458 00:29:16,320 --> 00:29:20,080 Speaker 1: super like buff and can carry cadavers up a tree. 459 00:29:20,600 --> 00:29:24,640 Speaker 1: But you're right that even those guys are really terrifying, 460 00:29:24,720 --> 00:29:27,800 Speaker 1: they're not the most prolific serial killers, and we do 461 00:29:27,880 --> 00:29:32,000 Speaker 1: have to get smaller. In fact, our most prolific serial 462 00:29:32,120 --> 00:29:35,520 Speaker 1: killer kitty, is one of the smallest species of cats 463 00:29:35,640 --> 00:29:38,880 Speaker 1: in the world, and that includes domestic cats, so they're 464 00:29:38,920 --> 00:29:43,720 Speaker 1: smaller than your household kitty. It's this really adorable cat. 465 00:29:43,960 --> 00:29:47,560 Speaker 1: It's called the black footed cat. They're about three times 466 00:29:47,560 --> 00:29:50,960 Speaker 1: smaller than your pet house cat, and they weigh in 467 00:29:51,000 --> 00:29:54,600 Speaker 1: about two to four pounds, so females are around two pounds, 468 00:29:55,000 --> 00:29:58,440 Speaker 1: males can get up to around four pounds, and they 469 00:29:58,480 --> 00:30:03,320 Speaker 1: have a sixty per kill success raid, which if you've 470 00:30:03,360 --> 00:30:05,800 Speaker 1: ever seen a nature documentary and you see how many 471 00:30:05,880 --> 00:30:10,479 Speaker 1: times a lioness will have a goof up and not 472 00:30:10,560 --> 00:30:16,200 Speaker 1: be able to catch its prey is incredible. So they 473 00:30:16,240 --> 00:30:19,360 Speaker 1: actually look a lot like a house cat, but just 474 00:30:19,400 --> 00:30:22,680 Speaker 1: like kind of shrunken down. They have big eyes and 475 00:30:22,760 --> 00:30:27,800 Speaker 1: their tan with dark brown spots and striations. And they're 476 00:30:27,920 --> 00:30:31,480 Speaker 1: called black footed because their little feets are black. And 477 00:30:31,680 --> 00:30:35,960 Speaker 1: uh they're also called ant hill tigers because when they're cornered, 478 00:30:36,000 --> 00:30:39,840 Speaker 1: they'll like, they'll mess you up, they'll cut you. They're 479 00:30:39,960 --> 00:30:43,000 Speaker 1: very aggressive. You know, I'm looking at I'm looking at 480 00:30:43,080 --> 00:30:45,280 Speaker 1: a picture of one right now, and I gotta say, 481 00:30:45,320 --> 00:30:47,880 Speaker 1: these cats are adorable. They look even better than my 482 00:30:48,000 --> 00:30:50,440 Speaker 1: two cats, and my two cats are just you know, 483 00:30:51,080 --> 00:30:54,800 Speaker 1: cat models. Basically, they have that like baby schema. The 484 00:30:54,960 --> 00:30:57,400 Speaker 1: because they have the big eyes and the big foreheads 485 00:30:57,520 --> 00:31:01,000 Speaker 1: and they're they're really tiny and just soup. We're super cute. 486 00:31:01,040 --> 00:31:04,040 Speaker 1: You would not think these are a big threat. So 487 00:31:04,080 --> 00:31:06,400 Speaker 1: what kind of what kind of stuff do they hunt? Well, 488 00:31:06,400 --> 00:31:10,680 Speaker 1: their prey can be pretty small, so rodents, birds, pretty 489 00:31:10,720 --> 00:31:13,400 Speaker 1: much anything that moves and they can fit in their 490 00:31:13,440 --> 00:31:17,640 Speaker 1: mouths though, so they'll do insects, lizards, birds, and small 491 00:31:17,720 --> 00:31:23,480 Speaker 1: rodents are their favorite. They're mostly nocturnal. They'll walk twenty 492 00:31:23,560 --> 00:31:27,080 Speaker 1: miles a night, So that's the furthest that any small 493 00:31:27,120 --> 00:31:30,520 Speaker 1: wildcat will walk. And I did a little math and 494 00:31:30,520 --> 00:31:33,920 Speaker 1: if you scale that up to um human size, that's 495 00:31:33,920 --> 00:31:37,800 Speaker 1: like walking a thousand miles at night, which I know, 496 00:31:38,360 --> 00:31:41,560 Speaker 1: it's like it's like the Proclaimer's song, like I will 497 00:31:41,640 --> 00:31:45,240 Speaker 1: walk five hundred miles. So that does that mean these 498 00:31:45,280 --> 00:31:48,440 Speaker 1: little sweet babies hunt for sport, just like for kicks? 499 00:31:48,480 --> 00:31:51,200 Speaker 1: Like why why is such a high kill rate versus 500 00:31:51,720 --> 00:31:54,760 Speaker 1: lions who to me seem like they hunt more practically 501 00:31:54,800 --> 00:31:59,760 Speaker 1: and functionally to you know, feed? No, they I mean 502 00:31:59,800 --> 00:32:03,800 Speaker 1: they just have a rapid metabolism and they for the 503 00:32:03,840 --> 00:32:07,000 Speaker 1: food that they can't eat on the spot, they store 504 00:32:07,080 --> 00:32:10,160 Speaker 1: in their burrows. So it's not for fun, it's definitely 505 00:32:10,360 --> 00:32:15,520 Speaker 1: for nutrition. And these smaller animals will actually have a 506 00:32:15,560 --> 00:32:19,920 Speaker 1: pretty large nutritional demand because they can't bulk up a 507 00:32:19,920 --> 00:32:23,360 Speaker 1: lot of calories and then just like sleep it off. 508 00:32:23,400 --> 00:32:26,520 Speaker 1: They have to be constantly eating. And to be clear, 509 00:32:26,920 --> 00:32:31,680 Speaker 1: we're talking about the most prolific successful serial killers, not 510 00:32:31,800 --> 00:32:35,920 Speaker 1: just the most attempts, is that correct. I mean they 511 00:32:36,000 --> 00:32:38,880 Speaker 1: actually rack up a pretty high kill count, so I 512 00:32:38,880 --> 00:32:41,680 Speaker 1: would say they are of the big cats. They kill 513 00:32:41,760 --> 00:32:46,280 Speaker 1: the most per day. So they can take down around 514 00:32:46,440 --> 00:32:50,760 Speaker 1: fifteen prey items a night, which is a lot, and 515 00:32:51,520 --> 00:32:54,400 Speaker 1: that includes like birds. So if you there's a really 516 00:32:54,480 --> 00:32:57,080 Speaker 1: cool video I can show you guys, and I'll put 517 00:32:57,120 --> 00:32:59,760 Speaker 1: that up on our Twitter where it just like jumps 518 00:32:59,840 --> 00:33:03,640 Speaker 1: up and catches a bird midair and it's got it 519 00:33:03,680 --> 00:33:06,400 Speaker 1: like jammed in its mouth and it looks very pleased 520 00:33:06,440 --> 00:33:10,080 Speaker 1: with itself. Um, but yeah, that's like about a kill 521 00:33:10,120 --> 00:33:14,600 Speaker 1: an hour, So that's I mean, these are small prey items, 522 00:33:14,640 --> 00:33:17,680 Speaker 1: but you know you scale that down to the size 523 00:33:17,680 --> 00:33:20,280 Speaker 1: of the cow, which is like two pounds of like 524 00:33:20,440 --> 00:33:23,920 Speaker 1: pure murderous rage, and that's like, you know, it's like 525 00:33:23,960 --> 00:33:27,720 Speaker 1: taking if a lion could take down a small gazelle 526 00:33:27,840 --> 00:33:33,800 Speaker 1: like every hour, So they also do. It's so cute. 527 00:33:34,000 --> 00:33:36,480 Speaker 1: They do the little but wiggle, you know that thing 528 00:33:36,560 --> 00:33:39,000 Speaker 1: like when your cat is getting ready to pounce, and 529 00:33:39,040 --> 00:33:43,000 Speaker 1: it's like there's a little sweety swooty with its butt 530 00:33:44,640 --> 00:33:48,840 Speaker 1: like Simba and the Lion King sometimes too. Yeah, yeah, 531 00:33:48,920 --> 00:33:51,960 Speaker 1: they do that. They do the little little but wiggle, 532 00:33:52,200 --> 00:33:55,400 Speaker 1: and so that's actually not just to look cute. It 533 00:33:55,560 --> 00:33:58,160 Speaker 1: helps a line their feet under them so they can 534 00:33:58,400 --> 00:34:03,160 Speaker 1: pounce with maximum precision and power like a spring. And 535 00:34:04,000 --> 00:34:08,680 Speaker 1: sometimes they do take down bigger prey though, so they 536 00:34:08,760 --> 00:34:13,279 Speaker 1: rarely but sometimes kill cape hairs, which way more than them. 537 00:34:13,400 --> 00:34:18,279 Speaker 1: There these relatively larger rabbits. So it's just kind of 538 00:34:18,320 --> 00:34:22,520 Speaker 1: funny because they they're just like so amped up on 539 00:34:22,680 --> 00:34:26,399 Speaker 1: being murderous they don't even think that, oh maybe this 540 00:34:26,520 --> 00:34:29,400 Speaker 1: rabbit I can't even carry it because it weighs like 541 00:34:30,040 --> 00:34:33,040 Speaker 1: twice of me. So is this where the is this 542 00:34:33,080 --> 00:34:36,719 Speaker 1: where the psychopathy aspect comes in? Yeah, because it's like 543 00:34:36,800 --> 00:34:42,400 Speaker 1: I feel like they're desire to kill these bigger prey items. 544 00:34:43,239 --> 00:34:46,680 Speaker 1: Is it's like, clearly you're not going to eat that, 545 00:34:47,040 --> 00:34:49,759 Speaker 1: it's too big. I mean, maybe you know, they do 546 00:34:49,880 --> 00:34:52,560 Speaker 1: save it for later, but it's kind of funny. I 547 00:34:52,560 --> 00:34:55,399 Speaker 1: don't even know if they could fit a cape hair 548 00:34:55,560 --> 00:34:59,919 Speaker 1: in their din. So it's just killing stuff because they're 549 00:35:00,120 --> 00:35:02,560 Speaker 1: driven to kill. I mean, we've all been there. But 550 00:35:02,680 --> 00:35:05,839 Speaker 1: that's what my housecat does. That is what my indoor, outdoor, 551 00:35:06,080 --> 00:35:11,640 Speaker 1: sweet snuggly housecat does. He's not hungry, he doesn't bet 552 00:35:11,640 --> 00:35:15,680 Speaker 1: he doesn't have a six kill rate though, No, absolutely not. 553 00:35:15,800 --> 00:35:18,400 Speaker 1: But it's like he is clearly toying with these creatures 554 00:35:18,440 --> 00:35:21,400 Speaker 1: and you know, just like leaving them in the most 555 00:35:21,560 --> 00:35:24,359 Speaker 1: twisted arrays I've ever seen in my life. Like it's 556 00:35:24,400 --> 00:35:26,880 Speaker 1: it's like this, it haunts my my dreams. It's it's 557 00:35:26,920 --> 00:35:29,360 Speaker 1: bizarre that I guess that's why I was asking earlier, 558 00:35:29,600 --> 00:35:32,640 Speaker 1: like does this creature hunt kind of for sport? So 559 00:35:32,680 --> 00:35:34,680 Speaker 1: I guess some of that does enter into it. If 560 00:35:34,680 --> 00:35:36,600 Speaker 1: it's not, it's not even thinking about the fact that 561 00:35:36,600 --> 00:35:39,400 Speaker 1: it can't actually carry it, you know, the kill away. 562 00:35:39,760 --> 00:35:43,880 Speaker 1: It just needs to feed the urge, right right, And well, 563 00:35:44,000 --> 00:35:47,120 Speaker 1: I mean it's really interesting because with housecats, obviously they 564 00:35:47,120 --> 00:35:49,800 Speaker 1: don't need to kill anything at all because they're getting 565 00:35:49,800 --> 00:35:53,960 Speaker 1: fed their little kilbls and bits. But I think they 566 00:35:54,239 --> 00:35:57,480 Speaker 1: have a desire to hunt, so they're driven to hunt 567 00:35:57,560 --> 00:36:02,480 Speaker 1: by this, and it is a survival instinct to hunt, 568 00:36:02,480 --> 00:36:04,920 Speaker 1: because you can imagine if a cat didn't have that 569 00:36:05,000 --> 00:36:08,880 Speaker 1: and just waited around for kibble, if it lived in 570 00:36:08,880 --> 00:36:13,080 Speaker 1: the wild, it would be done an evolutionary dead end. 571 00:36:13,800 --> 00:36:16,480 Speaker 1: But yeah, I mean it's we can't talk to a 572 00:36:16,520 --> 00:36:19,440 Speaker 1: cat and say like, hey, do you really enjoy doing this? 573 00:36:19,600 --> 00:36:24,480 Speaker 1: But my guess would be that they do get satisfaction 574 00:36:24,600 --> 00:36:29,640 Speaker 1: from it. And even though it is an evolutionary strategy, 575 00:36:29,680 --> 00:36:33,880 Speaker 1: and even playing with their prey has practical reasons like 576 00:36:34,000 --> 00:36:38,759 Speaker 1: making sure it's dead and also honing their skills, I mean, 577 00:36:39,000 --> 00:36:41,799 Speaker 1: they seem to love doing it, and that is kind 578 00:36:41,840 --> 00:36:45,080 Speaker 1: of psychopathic, isn't it. Yeah, that's a good point, especially 579 00:36:45,080 --> 00:36:47,719 Speaker 1: when we consider not just cats, but a lot of 580 00:36:47,760 --> 00:36:53,800 Speaker 1: similar mammals. Their juvenile phase is spent playing, and playing 581 00:36:53,920 --> 00:36:57,640 Speaker 1: is really just a less fatal version of the hunting 582 00:36:57,680 --> 00:37:02,319 Speaker 1: that they will instinctively practice later in life. And I 583 00:37:02,360 --> 00:37:07,359 Speaker 1: can absolutely see from a neurological perspective, I can absolutely 584 00:37:07,400 --> 00:37:10,440 Speaker 1: see an animal as evolved as a cat or my 585 00:37:10,560 --> 00:37:14,200 Speaker 1: cats enjoying that kind of thing. It's it's scratching an itch. 586 00:37:14,360 --> 00:37:16,799 Speaker 1: Your body and your brain will tell you it's a 587 00:37:16,840 --> 00:37:20,400 Speaker 1: pleasurable and correct thing to do right, right. I mean, like, 588 00:37:20,480 --> 00:37:23,240 Speaker 1: we do have video games where we like to kill stuff. 589 00:37:23,280 --> 00:37:26,160 Speaker 1: So it makes me wonder if we might have something 590 00:37:26,200 --> 00:37:30,279 Speaker 1: like that deep inside us, where we kind of, you know, 591 00:37:30,400 --> 00:37:34,560 Speaker 1: maybe have that killing instinct that's just been over many, 592 00:37:34,600 --> 00:37:37,640 Speaker 1: many hundreds of thousands of the years of cultural and 593 00:37:37,719 --> 00:37:41,280 Speaker 1: societal evolution has been sort of put inside a little 594 00:37:41,320 --> 00:37:44,920 Speaker 1: box and um locked away, except in the cases of 595 00:37:45,080 --> 00:37:50,160 Speaker 1: serial killers. Right well, in the defense of my cats, 596 00:37:50,320 --> 00:37:54,160 Speaker 1: Dr Vankman and Mr Jackpott have to shout him out here. Yeah, 597 00:37:54,200 --> 00:37:56,600 Speaker 1: and it's the real names. In defense of my cats, 598 00:37:56,680 --> 00:38:00,040 Speaker 1: they have at the very least never paralyzed someway and 599 00:38:00,160 --> 00:38:04,799 Speaker 1: buried them alive and put a kitten inside of their 600 00:38:04,840 --> 00:38:10,400 Speaker 1: bodies to cute, Like would a kitten bursting out of 601 00:38:10,440 --> 00:38:16,120 Speaker 1: a tarantula be cute or horrible? I can't know. I'm 602 00:38:16,200 --> 00:38:20,240 Speaker 1: on the fence. I'm honestly on the fence because if 603 00:38:20,320 --> 00:38:23,160 Speaker 1: that was backwards, like a trantula bursting out of a kitten, 604 00:38:23,200 --> 00:38:25,919 Speaker 1: that would obviously be horrible. But when you do it 605 00:38:26,120 --> 00:38:28,839 Speaker 1: in verse, it's kind of cute. I mean, I still 606 00:38:28,880 --> 00:38:32,759 Speaker 1: feel bad for the tarantula, but you know, hey, it's 607 00:38:32,760 --> 00:38:37,120 Speaker 1: a kitten, sure, So it's pretty crazy. You mentioned fallon 608 00:38:37,640 --> 00:38:41,680 Speaker 1: the neuroscientist. He's actually in the show that I'm working 609 00:38:41,719 --> 00:38:44,399 Speaker 1: on called Happy Face. It's like a true crime show 610 00:38:44,440 --> 00:38:47,600 Speaker 1: about the happy Voice killer, and it's about this guy's 611 00:38:47,680 --> 00:38:51,919 Speaker 1: daughter and in the show, she goes and gets analyzed 612 00:38:51,960 --> 00:38:54,680 Speaker 1: by this guy to try to figure out whether she 613 00:38:54,880 --> 00:38:58,799 Speaker 1: herself has inherited her father's psychopathic tendencies. And it's really 614 00:38:58,840 --> 00:39:01,640 Speaker 1: interesting because it's like there's a lot of discussion around it, 615 00:39:01,640 --> 00:39:04,880 Speaker 1: whether it's like is it all nature, is it all nurture? 616 00:39:05,000 --> 00:39:06,680 Speaker 1: Is it a combination of the two. Can you really 617 00:39:06,960 --> 00:39:09,160 Speaker 1: figure out just from someone's brain scan whether or not 618 00:39:09,160 --> 00:39:11,319 Speaker 1: this is true. It seems like a very kind of 619 00:39:11,360 --> 00:39:14,480 Speaker 1: like surfacing way of of of figuring that stuff out 620 00:39:14,480 --> 00:39:16,480 Speaker 1: because it's a combination of a lot of factors. But 621 00:39:16,640 --> 00:39:19,160 Speaker 1: he actually talks a lot about psychopathy in the animal 622 00:39:19,280 --> 00:39:24,360 Speaker 1: kingdom too, and how it's actually can be a positive trait, like, um, 623 00:39:24,400 --> 00:39:28,520 Speaker 1: you know, animals that are psychopaths will kind of they'll 624 00:39:28,560 --> 00:39:31,320 Speaker 1: go places that other animals won't and they will actually 625 00:39:31,400 --> 00:39:34,759 Speaker 1: breed more successfully and things like that. Um, it's I'm 626 00:39:34,760 --> 00:39:39,919 Speaker 1: not explaining it super well, but it's yeah, because like psychopaths. 627 00:39:39,960 --> 00:39:43,720 Speaker 1: One of their characteristics is risk taking and not having 628 00:39:43,719 --> 00:39:47,080 Speaker 1: a fear of the consequences. So in some cases that 629 00:39:47,120 --> 00:39:51,560 Speaker 1: could obviously be very bad, but for some animals that 630 00:39:51,760 --> 00:39:55,759 Speaker 1: will bring you a reward. If you are bolder and 631 00:39:55,960 --> 00:39:59,520 Speaker 1: take a risk and try something novel, that lack of 632 00:39:59,560 --> 00:40:03,359 Speaker 1: fear will actually give you a leg up over your competition. 633 00:40:04,280 --> 00:40:06,319 Speaker 1: That is exactly what he was talking about. You know, 634 00:40:06,920 --> 00:40:11,399 Speaker 1: so long as they survive to reproduce, that's that's that's 635 00:40:11,440 --> 00:40:17,719 Speaker 1: the Vegas Odds part. Yeah, that's that's really interesting. I've 636 00:40:17,760 --> 00:40:21,880 Speaker 1: actually listened to some of that podcast. It's so I 637 00:40:21,920 --> 00:40:25,279 Speaker 1: think that is it's such a personal perspective on the 638 00:40:25,400 --> 00:40:29,279 Speaker 1: nature versus nurture because she's I mean, from my perspective, 639 00:40:29,320 --> 00:40:33,640 Speaker 1: she's obviously a very empathetic person to be so worried 640 00:40:33,680 --> 00:40:37,560 Speaker 1: about that part of her nature. But I can totally 641 00:40:37,560 --> 00:40:40,399 Speaker 1: imagine how that would be. That you're wondering, like, well, 642 00:40:40,520 --> 00:40:44,160 Speaker 1: any any behavior you feel where it's like maybe you 643 00:40:44,200 --> 00:40:48,600 Speaker 1: know you have sean Freud a sometime, or you feel angry, 644 00:40:48,680 --> 00:40:51,120 Speaker 1: you wonder like, well, is that me? Or is that 645 00:40:51,200 --> 00:40:55,080 Speaker 1: like these genes inside me puppeting me? Yeah, And you 646 00:40:55,160 --> 00:40:56,600 Speaker 1: might not have made it far enough in the series. 647 00:40:56,600 --> 00:40:58,480 Speaker 1: I don't want to spoil anything, but it does come 648 00:40:58,600 --> 00:41:01,840 Speaker 1: into play, like the way she's dealt with relationships and 649 00:41:01,920 --> 00:41:05,400 Speaker 1: kind of her emotional kind of closed awfulness, and that's 650 00:41:05,400 --> 00:41:07,399 Speaker 1: a big part of it, and wondering if she can 651 00:41:07,440 --> 00:41:10,680 Speaker 1: actually feel things the way quote unquote normal people can. 652 00:41:10,960 --> 00:41:13,600 Speaker 1: So it's something that really haunts her and bothers her. 653 00:41:13,920 --> 00:41:15,520 Speaker 1: And at the end of the series she kind of 654 00:41:15,560 --> 00:41:17,680 Speaker 1: figures out, you know, at least as far as this 655 00:41:17,719 --> 00:41:24,000 Speaker 1: guy is concerned, what she is. Yeah, the story of 656 00:41:24,040 --> 00:41:27,600 Speaker 1: the most prolific serial killer in human history is one 657 00:41:27,680 --> 00:41:32,480 Speaker 1: that's more tragic than gruesome. Harold Friederich Shipman was a bespectacled, 658 00:41:32,600 --> 00:41:36,320 Speaker 1: bearded man, very ordinary and meek looking. He was a doctor, 659 00:41:36,520 --> 00:41:39,439 Speaker 1: married and had four children. Not someone whom you would 660 00:41:39,440 --> 00:41:42,919 Speaker 1: peg as a cold blooded killer, but he killed two 661 00:41:43,000 --> 00:41:48,320 Speaker 1: hundred and eighteen people, committing crimes undetected for twenty three years. 662 00:41:49,080 --> 00:41:53,080 Speaker 1: Shipman was a GP who had his own practice near Manchester, England. 663 00:41:53,600 --> 00:41:57,160 Speaker 1: He targeted the most vulnerable people as his victims, his 664 00:41:57,239 --> 00:42:01,840 Speaker 1: own geriatric patients. Most of victims were the elderly women 665 00:42:01,840 --> 00:42:05,279 Speaker 1: in his care to whom he gave lethal doses of morphine. 666 00:42:05,760 --> 00:42:08,320 Speaker 1: He had a typical pattern. He would give his victims 667 00:42:08,360 --> 00:42:12,160 Speaker 1: a lethal dose of diamorphine, signed their death certificates, and 668 00:42:12,200 --> 00:42:15,640 Speaker 1: then alter their medical records to falsely indicate that their 669 00:42:15,640 --> 00:42:19,359 Speaker 1: health had been in decline. Shipman was an outlier even 670 00:42:19,400 --> 00:42:22,239 Speaker 1: amongst serial killers, as there was no clear motive for 671 00:42:22,320 --> 00:42:26,400 Speaker 1: the crime, except in one case, he altered his victim's 672 00:42:26,440 --> 00:42:29,799 Speaker 1: will to make himself the beneficiary of three hundred and 673 00:42:29,840 --> 00:42:33,920 Speaker 1: eighty six thousand pounds, something the victim's daughter found to 674 00:42:33,960 --> 00:42:37,680 Speaker 1: be awfully suspicious. So why did he kill It's hard 675 00:42:37,719 --> 00:42:40,840 Speaker 1: to know for certain. As a teenager, he witnessed his 676 00:42:40,880 --> 00:42:44,160 Speaker 1: mother received morphine for terminal cancer until she died of 677 00:42:44,160 --> 00:42:47,319 Speaker 1: the disease. Some of the psychiatrists who have looked at 678 00:42:47,400 --> 00:42:50,040 Speaker 1: his case speculate that he had a deep seated need 679 00:42:50,080 --> 00:42:54,320 Speaker 1: to control other people, something influenced but certainly not caused 680 00:42:54,360 --> 00:42:58,680 Speaker 1: in total by his mother's death. Another possibility psychiatrists have 681 00:42:58,760 --> 00:43:01,359 Speaker 1: proposed is that he felt a sense of relief from 682 00:43:01,400 --> 00:43:05,000 Speaker 1: stress or pressure by killing his patients, as he considered 683 00:43:05,040 --> 00:43:08,160 Speaker 1: them a nuisance. This is the heart of what a 684 00:43:08,200 --> 00:43:13,400 Speaker 1: psychopath is. Coldly, flippantly cruel. We need a minute to 685 00:43:13,400 --> 00:43:16,680 Speaker 1: clean our brains with images of cute cats. Wait is 686 00:43:16,680 --> 00:43:19,319 Speaker 1: that a blackfooted cat? And is that a baby bird 687 00:43:19,360 --> 00:43:30,200 Speaker 1: in its mouth? Oh no, We'll be right back. Machiavellianism 688 00:43:30,320 --> 00:43:33,759 Speaker 1: through the scope of psychology is defined as a duplicitous 689 00:43:33,840 --> 00:43:38,280 Speaker 1: manipulation with a disregard for morality, putting personal gain before 690 00:43:38,360 --> 00:43:42,440 Speaker 1: any feelings of empathy. Think Little Finger from Game of Thrones, 691 00:43:42,760 --> 00:43:47,239 Speaker 1: someone behind the scenes manipulating and pulling strings, causing destruction 692 00:43:47,320 --> 00:43:52,799 Speaker 1: for others or their own gain. But fortunately Machiavellians can 693 00:43:52,840 --> 00:43:57,320 Speaker 1: only manipulate, not mind control. They're victims. However, the natural 694 00:43:57,400 --> 00:44:00,799 Speaker 1: world is not so merciful. Work wanted to discuss a 695 00:44:00,880 --> 00:44:04,960 Speaker 1: macki villion animal that is literally pulling the strings using 696 00:44:05,040 --> 00:44:10,080 Speaker 1: real life mind control. So mind control and hypnosis is 697 00:44:10,160 --> 00:44:14,160 Speaker 1: often explored in popular culture. From the Manchurion candidate to 698 00:44:14,280 --> 00:44:18,640 Speaker 1: Jessica Jones were fascinated by the idea of thought control. So, 699 00:44:18,680 --> 00:44:21,680 Speaker 1: you know, the Purple Man and Jessica Jones, it's such 700 00:44:21,719 --> 00:44:27,279 Speaker 1: a creepy villain. Doctor who David Tennant, Yeah, he's so 701 00:44:27,360 --> 00:44:30,680 Speaker 1: lovable and doctor Who. But then his and he's just 702 00:44:31,480 --> 00:44:34,000 Speaker 1: I think, so he's got he's got a good range. 703 00:44:34,160 --> 00:44:36,000 Speaker 1: I didn't trust him. You don't trust him his doctor? 704 00:44:36,040 --> 00:44:38,719 Speaker 1: Who was it? After watching Jessica Jones? Do you stop 705 00:44:38,760 --> 00:44:41,960 Speaker 1: trusting him doctor? No? No, I just don't. I don't 706 00:44:42,040 --> 00:44:44,200 Speaker 1: trust his mouth. Is it because he has a bunch 707 00:44:44,200 --> 00:44:49,439 Speaker 1: of hearts? He's got like ten hearts or something? But yeah, 708 00:44:49,480 --> 00:44:53,839 Speaker 1: the the Purple Man for background for Jessica Jones amidst 709 00:44:54,120 --> 00:45:00,759 Speaker 1: pheromones that forced people to obey his suggestions, right right, Yeah, 710 00:45:00,960 --> 00:45:04,240 Speaker 1: it's like he issues a command and then the person 711 00:45:04,320 --> 00:45:07,319 Speaker 1: has to do it because it's some kind of medic 712 00:45:07,360 --> 00:45:10,120 Speaker 1: clorians or whatever. I haven't watched the whole show, so 713 00:45:10,160 --> 00:45:13,719 Speaker 1: I'm not sure, but yeah, that's it's so creepy to 714 00:45:13,800 --> 00:45:17,799 Speaker 1: me because like like one of the worst possible sci 715 00:45:17,880 --> 00:45:22,400 Speaker 1: fi horse scenarios where uh, serial killer mind controls you 716 00:45:22,440 --> 00:45:25,760 Speaker 1: into digging your own grave or just following him into 717 00:45:25,960 --> 00:45:30,600 Speaker 1: his like kill basement. But I have bad news for 718 00:45:30,880 --> 00:45:36,759 Speaker 1: spiders again, this is a very spider unfriendly podcast. Or 719 00:45:36,880 --> 00:45:42,040 Speaker 1: weaver spiders are spend these really neat precise webs. They're 720 00:45:42,160 --> 00:45:45,759 Speaker 1: they're actually very beautiful the webs the spiders are. I mean, 721 00:45:45,800 --> 00:45:48,720 Speaker 1: I think they're cool, but people have hang ups about 722 00:45:48,719 --> 00:45:54,719 Speaker 1: spiders for some reason. Um, so now wasps again come 723 00:45:54,760 --> 00:45:59,279 Speaker 1: into the picture and just are so mean and are 724 00:45:59,440 --> 00:46:04,960 Speaker 1: such as holes. So female parasitic wasps lay an egg 725 00:46:05,080 --> 00:46:08,200 Speaker 1: onto the orb weaver's abdomen, and if you've been listening, 726 00:46:08,200 --> 00:46:10,640 Speaker 1: you know, and once a wasp lays an egg on you, 727 00:46:10,640 --> 00:46:14,840 Speaker 1: you're in for a bad time. So the orb weaver 728 00:46:14,960 --> 00:46:20,120 Speaker 1: is still alive, and the spider becomes mind controlled by 729 00:46:20,239 --> 00:46:24,920 Speaker 1: the wasp larva, and instead of spinning its beautiful lace 730 00:46:25,040 --> 00:46:28,840 Speaker 1: like web, it dismantles its web and creates a cocoon 731 00:46:29,400 --> 00:46:34,080 Speaker 1: for the parasitic larva to live in. And then, because 732 00:46:34,320 --> 00:46:39,799 Speaker 1: wasps again there are such huge assholes, the larva will 733 00:46:39,800 --> 00:46:43,840 Speaker 1: suck on the spider's juices until the spider dies. And 734 00:46:43,880 --> 00:46:46,560 Speaker 1: then the larva just checks its carcass away like a 735 00:46:46,719 --> 00:46:50,480 Speaker 1: soda can, and it makes itself nice and cozy in 736 00:46:50,520 --> 00:46:54,640 Speaker 1: the cocoon that the spider had woven for it against 737 00:46:54,640 --> 00:46:58,160 Speaker 1: its will. It's so crazy to me that you can 738 00:46:58,280 --> 00:47:04,560 Speaker 1: have such a precise method of mind control that the 739 00:47:04,680 --> 00:47:07,960 Speaker 1: larva not only gets to eat its victim but makes 740 00:47:07,960 --> 00:47:11,680 Speaker 1: it spin a little cradle for for it as it 741 00:47:11,719 --> 00:47:16,120 Speaker 1: develops and so it can stay safe. It's just so creepy. 742 00:47:16,320 --> 00:47:19,319 Speaker 1: So it's slave labor at that point too, right, a 743 00:47:19,400 --> 00:47:25,440 Speaker 1: slave that you eat later. Yeah. Yeah, So we are 744 00:47:25,680 --> 00:47:30,359 Speaker 1: these wasps as common as the tarantula hawk um, they 745 00:47:30,360 --> 00:47:33,480 Speaker 1: aren't as widely distributed, So the ones that we're going 746 00:47:33,560 --> 00:47:38,920 Speaker 1: to be talking about are found in Japan. So researchers 747 00:47:39,200 --> 00:47:42,279 Speaker 1: in Japan wanted to look into this behavior because it's 748 00:47:42,280 --> 00:47:49,359 Speaker 1: so crazy how precise that mind control is. And they 749 00:47:49,480 --> 00:47:54,480 Speaker 1: found that the cocoon that the zombie spider weaves for 750 00:47:54,760 --> 00:47:59,400 Speaker 1: its parasite is very similar to the molten stage web 751 00:47:59,480 --> 00:48:03,200 Speaker 1: that the spider, a healthy spider, will weave for itself. 752 00:48:03,960 --> 00:48:07,800 Speaker 1: It's a protective cocoon designed to keep the spider safe 753 00:48:07,840 --> 00:48:12,319 Speaker 1: while it molts it's exoskeleton, and it's actually made out 754 00:48:12,360 --> 00:48:17,360 Speaker 1: of this special ultra violet spider silk so that birds 755 00:48:17,400 --> 00:48:20,640 Speaker 1: and flying insects will avoid crashing into it. So like 756 00:48:20,760 --> 00:48:23,960 Speaker 1: normally when a spider builds its web, it wants insects 757 00:48:23,960 --> 00:48:26,880 Speaker 1: to run into it so that you can eat them. 758 00:48:26,960 --> 00:48:30,560 Speaker 1: But if you're in all naked and exposed and don't 759 00:48:30,560 --> 00:48:33,279 Speaker 1: want something to kill you, you wrap yourself up in 760 00:48:33,400 --> 00:48:36,919 Speaker 1: like this neon light of like warning naked spider in here. 761 00:48:37,920 --> 00:48:43,120 Speaker 1: So researchers found that there was higher levels of this 762 00:48:43,400 --> 00:48:48,960 Speaker 1: substance that's called twenty h ectosoone, and it's the same 763 00:48:49,000 --> 00:48:56,000 Speaker 1: hormone that controls molting. So in the zombified spiders, they 764 00:48:56,040 --> 00:48:59,160 Speaker 1: are being mind controlled into thinking that they're going through 765 00:48:59,239 --> 00:49:03,880 Speaker 1: their molting stage. It's unknown how the wasp is actually 766 00:49:04,360 --> 00:49:09,920 Speaker 1: manipulating this hormone. But it's not just mind controlling into 767 00:49:09,960 --> 00:49:13,440 Speaker 1: thinking it's molting. It's actually a step above that because 768 00:49:14,239 --> 00:49:17,560 Speaker 1: it's somehow commanding it to go into this like super 769 00:49:17,680 --> 00:49:23,720 Speaker 1: molting mode where it's building an extra strong cocoon, more reinforced, 770 00:49:23,880 --> 00:49:27,960 Speaker 1: with greater tensile strength than the spider's normal molten cocoon. 771 00:49:28,160 --> 00:49:32,560 Speaker 1: So it's like it's beyond just like thinking it's molting. 772 00:49:32,760 --> 00:49:37,600 Speaker 1: It's creating a mega safety bunker for the parasite that's 773 00:49:37,800 --> 00:49:42,760 Speaker 1: planning on murdering it. So way wait, so the downside 774 00:49:43,480 --> 00:49:47,919 Speaker 1: is that you are being mind controlled and then you're 775 00:49:48,719 --> 00:49:52,759 Speaker 1: going to die. But the upside is that you get 776 00:49:52,840 --> 00:49:57,000 Speaker 1: super strength. I guess the the equivalent of spider superpowers. Well, 777 00:49:57,080 --> 00:50:01,640 Speaker 1: your your webbing does, so your care creating um spider 778 00:50:01,719 --> 00:50:06,680 Speaker 1: silk that has is extra reinforced because the molting spider 779 00:50:06,719 --> 00:50:09,960 Speaker 1: silk like a in a healthy orb weaver that's creating 780 00:50:10,160 --> 00:50:13,600 Speaker 1: a cocoon for itself to molten side that that webbing 781 00:50:13,600 --> 00:50:18,040 Speaker 1: will be reinforced and stronger to protect it. But for 782 00:50:18,120 --> 00:50:21,840 Speaker 1: the parasite, it's like it's bringing out the good stuff. 783 00:50:21,880 --> 00:50:25,040 Speaker 1: It's bringing out the big guns, the big webbing guns, 784 00:50:25,200 --> 00:50:31,280 Speaker 1: and creating really really strong webbing to protect the parasite. So, 785 00:50:31,680 --> 00:50:35,239 Speaker 1: I mean, I would think it's not necessarily clear in 786 00:50:35,280 --> 00:50:37,919 Speaker 1: the research yet, but I would think that somehow it's 787 00:50:37,960 --> 00:50:42,919 Speaker 1: just being flooded with these hormones and make like this 788 00:50:43,280 --> 00:50:47,600 Speaker 1: extra strong signal for it to produce the molting webbing 789 00:50:47,600 --> 00:50:50,200 Speaker 1: in a way that's like it's over signaling so that 790 00:50:50,239 --> 00:50:55,200 Speaker 1: the parasite benefits from the super strong cocoon. So this 791 00:50:55,280 --> 00:50:59,719 Speaker 1: is what's called an ectoparasitoid. It's a parasite who will 792 00:50:59,760 --> 00:51:04,160 Speaker 1: live externally on its host and eventually kill it. But 793 00:51:04,480 --> 00:51:09,000 Speaker 1: some parasitic wasps will lay their eggs directly inside the 794 00:51:09,080 --> 00:51:11,920 Speaker 1: spider and then the larva eat their way out of 795 00:51:11,960 --> 00:51:16,640 Speaker 1: the spider like an alien chest burster. It's really disgusting. 796 00:51:17,239 --> 00:51:20,480 Speaker 1: And just for a safety check here, there are no 797 00:51:20,600 --> 00:51:23,879 Speaker 1: wasps that do this to people, right, No, they're none 798 00:51:23,880 --> 00:51:28,840 Speaker 1: big enough to do it yet, not yet, not that 799 00:51:28,880 --> 00:51:32,040 Speaker 1: we know can. But think of whenever, whenever I think 800 00:51:32,080 --> 00:51:36,000 Speaker 1: about this paras parasitic stuff doing things to animals to 801 00:51:36,040 --> 00:51:38,360 Speaker 1: make them act against their own self interest, I always 802 00:51:38,360 --> 00:51:41,920 Speaker 1: think of that parasitic fungus like erupts out of ants 803 00:51:41,960 --> 00:51:46,360 Speaker 1: heads before, right, Yeah, before it does that, doesn't it 804 00:51:46,400 --> 00:51:48,839 Speaker 1: also do some kind of crazy mind control that makes 805 00:51:48,840 --> 00:51:55,319 Speaker 1: them do something that like benefits the fungus itself. But yeah, 806 00:51:55,480 --> 00:51:58,919 Speaker 1: crawls up a stock like a plant stock, and then 807 00:51:59,200 --> 00:52:03,720 Speaker 1: it's final. The ant's final act is to cling onto 808 00:52:03,760 --> 00:52:07,360 Speaker 1: the stock with its mandibles, so it it's brain is 809 00:52:07,480 --> 00:52:12,279 Speaker 1: being so manipulated by the fungus that it's like clinging 810 00:52:12,320 --> 00:52:15,080 Speaker 1: onto the stock with its mandibles. And then that's really 811 00:52:15,120 --> 00:52:17,919 Speaker 1: good for the fungus, says, It grows out of its 812 00:52:17,920 --> 00:52:20,960 Speaker 1: head and then produces spores because it's got a solid 813 00:52:21,120 --> 00:52:24,120 Speaker 1: anchor down onto the onto the plant or the branch. 814 00:52:25,000 --> 00:52:28,040 Speaker 1: You know. One that while we're speaking of parasites, one 815 00:52:28,080 --> 00:52:33,479 Speaker 1: that worries me as a cat owner is Toxoplasma gandhi. Yeah, 816 00:52:33,760 --> 00:52:36,399 Speaker 1: we all probably have that, Like that's why we're nice 817 00:52:36,440 --> 00:52:40,960 Speaker 1: to cats I don't know, sing, So, yeah, you probably 818 00:52:41,000 --> 00:52:43,279 Speaker 1: if you clean up the cats litter box and you 819 00:52:43,360 --> 00:52:47,200 Speaker 1: don't obsessively wash your hands every single time, you might 820 00:52:47,239 --> 00:52:50,520 Speaker 1: have it. And I mean there's actually pretty good chance, 821 00:52:50,600 --> 00:52:53,200 Speaker 1: like if you've owned cats over a long period of time. 822 00:52:53,719 --> 00:52:57,040 Speaker 1: It's generally not a problem for humans unless you're pregnant, 823 00:52:57,040 --> 00:53:00,280 Speaker 1: in which it can cause birth defects or miscare age. 824 00:53:00,760 --> 00:53:03,959 Speaker 1: And the other thing it's been linked to is potentially 825 00:53:04,000 --> 00:53:09,719 Speaker 1: triggering schizophrenia. That's a very very rare almost just like 826 00:53:09,880 --> 00:53:13,600 Speaker 1: it's not going to happen to you, but it is 827 00:53:13,640 --> 00:53:17,240 Speaker 1: a documented effect, so they can a cat can literally 828 00:53:17,840 --> 00:53:24,560 Speaker 1: cause schizophrenia in a person via the t Gandhi. I So, 829 00:53:24,960 --> 00:53:27,759 Speaker 1: I think we need to talk more about how spiders 830 00:53:27,880 --> 00:53:32,840 Speaker 1: are terribly mistreated in nature. Uh So, there's another mind 831 00:53:32,920 --> 00:53:39,960 Speaker 1: controlling machiavellian manipulator called the spider fly, and it's a 832 00:53:40,000 --> 00:53:45,280 Speaker 1: fly that injects itself into the spider's abdomen, lodging itself 833 00:53:45,320 --> 00:53:49,719 Speaker 1: near the lung. And here's the crazy thing. It can 834 00:53:49,800 --> 00:53:54,640 Speaker 1: remain there for years while it completes its development. So 835 00:53:54,840 --> 00:53:58,600 Speaker 1: once it's finally ready to molt and emerge from the spider, 836 00:53:59,160 --> 00:54:03,239 Speaker 1: it control as the spider into spinning a protective cocoon, 837 00:54:03,719 --> 00:54:06,080 Speaker 1: just like we were talking about with the orb weavers. 838 00:54:06,680 --> 00:54:10,040 Speaker 1: Then it eats the spider from the inside out, which 839 00:54:10,360 --> 00:54:15,640 Speaker 1: is just the worst, but at least these ones are 840 00:54:15,680 --> 00:54:19,799 Speaker 1: kind of cute and fuzzy, so unlike the wasps the 841 00:54:19,880 --> 00:54:24,440 Speaker 1: spider fly, they're sort of like these little bumbling cutis 842 00:54:24,840 --> 00:54:29,239 Speaker 1: uh entomologous. F R Cold describes them as having a 843 00:54:29,239 --> 00:54:33,399 Speaker 1: floating sort of flight, rather undulating and uncertain. It has 844 00:54:33,480 --> 00:54:36,600 Speaker 1: the habit of buzzing around and circles when it falls 845 00:54:36,640 --> 00:54:39,880 Speaker 1: over on its back on a smooth surface, often doing 846 00:54:39,880 --> 00:54:42,400 Speaker 1: this for some time before it can regain its feet. 847 00:54:42,719 --> 00:54:44,839 Speaker 1: Most of the time it is making a high, thin 848 00:54:45,040 --> 00:54:50,000 Speaker 1: humming sound, so it's just like it's this dopey, kind 849 00:54:50,000 --> 00:54:54,759 Speaker 1: of like dorky little fly. But then it's really horrifying 850 00:54:54,840 --> 00:54:58,160 Speaker 1: and living inside a spider for years before killing it. 851 00:54:58,719 --> 00:55:01,960 Speaker 1: And this isn't like a a more supial situation, you 852 00:55:01,960 --> 00:55:05,080 Speaker 1: know how like a joey can enter an exit the 853 00:55:05,120 --> 00:55:07,880 Speaker 1: pouch of the parent. It's more like a chest burster, 854 00:55:08,480 --> 00:55:11,600 Speaker 1: like I can't fly back in and out. It's a 855 00:55:11,680 --> 00:55:14,799 Speaker 1: chest burster situation, but with like a cute little like 856 00:55:15,040 --> 00:55:21,000 Speaker 1: elm esque muppet character, like if An Aliens, just like 857 00:55:21,640 --> 00:55:24,600 Speaker 1: the chest Burster birth stance, like it's it's all low. 858 00:55:27,000 --> 00:55:29,560 Speaker 1: I'm kind of sold. It reminds me of this terrifying 859 00:55:29,640 --> 00:55:32,040 Speaker 1: toy my girlfriend got my daughter for a birthday the 860 00:55:32,040 --> 00:55:34,960 Speaker 1: other day. It's like a tiny puppy that lives inside 861 00:55:34,960 --> 00:55:38,319 Speaker 1: a croissant and you turn the croissant inside out and 862 00:55:38,360 --> 00:55:41,239 Speaker 1: then the tiny puppy emerges. But it's really unclear, like 863 00:55:41,280 --> 00:55:42,879 Speaker 1: the scale of it, Like is it is it meant 864 00:55:42,920 --> 00:55:45,759 Speaker 1: to be a tiny puppy or a giant croissant. They 865 00:55:45,800 --> 00:55:49,200 Speaker 1: really don't make that clear. But um, yeah, that's not 866 00:55:49,320 --> 00:55:51,160 Speaker 1: very science at all. But that's what I'm picturing this 867 00:55:51,200 --> 00:55:53,200 Speaker 1: whole time. I'm sorry. I don't know why toys have 868 00:55:53,280 --> 00:55:59,839 Speaker 1: gotten weird. I really have, they really have. You might 869 00:55:59,840 --> 00:56:02,600 Speaker 1: be comforting yourself with the knowledge that you're not a 870 00:56:02,640 --> 00:56:05,720 Speaker 1: spider and you're in no danger of a fly hiding 871 00:56:05,719 --> 00:56:08,080 Speaker 1: out in your lungs, But I want to tell you 872 00:56:08,160 --> 00:56:10,719 Speaker 1: the story of the human version of a spider fly, 873 00:56:11,320 --> 00:56:14,279 Speaker 1: a secret hideaway killer that will have you checking your 874 00:56:14,360 --> 00:56:18,760 Speaker 1: cross spaces tonight. The Dinverse spider Man doesn't really deserve 875 00:56:18,840 --> 00:56:22,799 Speaker 1: his name. His real name was Theodore Edward Coney's. He 876 00:56:22,920 --> 00:56:27,080 Speaker 1: was a drifter who in nine decided he'd settled down, 877 00:56:27,400 --> 00:56:30,440 Speaker 1: but there was a little problem. The home he chose 878 00:56:30,520 --> 00:56:34,160 Speaker 1: was already occupied. Coney has found a trapdoor in a 879 00:56:34,280 --> 00:56:38,479 Speaker 1: closet that led to a tiny attic houbbyhole. He went 880 00:56:38,600 --> 00:56:42,800 Speaker 1: undiscovered for five weeks, leaving his heidihold to occasionally steal 881 00:56:42,880 --> 00:56:46,680 Speaker 1: food out of the fridge. One day, the homeowner, seventy 882 00:56:46,680 --> 00:56:49,840 Speaker 1: three year old Philip Peter's, discovered Coney's as he was 883 00:56:49,880 --> 00:56:54,239 Speaker 1: foraging for food. Philip whacked Cony's with his cane, and 884 00:56:54,360 --> 00:56:58,480 Speaker 1: Coney has responded by brutally murdering Philip, bludgeoning him to 885 00:56:58,520 --> 00:57:02,960 Speaker 1: death with an iron stove. Stoker. Police investigated the murder, 886 00:57:03,000 --> 00:57:05,319 Speaker 1: but they found no signs of a break in, and 887 00:57:05,400 --> 00:57:07,760 Speaker 1: though they found the door to the attic, they didn't 888 00:57:07,760 --> 00:57:10,359 Speaker 1: explore it they thought it was too small for any 889 00:57:10,480 --> 00:57:14,280 Speaker 1: human person to fit through. After the murder, the victim's 890 00:57:14,280 --> 00:57:18,720 Speaker 1: wife and the housekeeper reported hearing strange noises in the night, 891 00:57:18,880 --> 00:57:22,440 Speaker 1: and they believed the house was haunted, so they moved 892 00:57:22,440 --> 00:57:26,840 Speaker 1: out and Coney's presence remained unknown. He stayed in the 893 00:57:26,920 --> 00:57:31,120 Speaker 1: vacant house until ninety two when police came to make 894 00:57:31,160 --> 00:57:34,000 Speaker 1: a routine check and they heard noises coming from the 895 00:57:34,040 --> 00:57:37,680 Speaker 1: second floor. They followed the noise and saw a pair 896 00:57:37,680 --> 00:57:41,880 Speaker 1: of legs vanishing into the trap door. They grabbed them 897 00:57:41,880 --> 00:57:45,440 Speaker 1: before he could disappear. He was tried and convicted for 898 00:57:45,520 --> 00:57:49,920 Speaker 1: Philip's murder and spent his life in imprisonment. Although really 899 00:57:50,040 --> 00:57:53,600 Speaker 1: was that a punishment. His cell probably felt like a 900 00:57:53,680 --> 00:57:56,880 Speaker 1: sprawling estate compared to the tiny knot he hit away in. 901 00:57:57,800 --> 00:58:01,080 Speaker 1: So do you have any crawl spaces in your No reason, 902 00:58:01,240 --> 00:58:07,400 Speaker 1: just curious. Alright, So, thank you guys for coming on. 903 00:58:07,880 --> 00:58:11,040 Speaker 1: This is really fun. Do you guys have anything to plug? Yeah, 904 00:58:11,080 --> 00:58:13,800 Speaker 1: thank you so much for having a skatie. Yeah, you 905 00:58:13,840 --> 00:58:18,000 Speaker 1: can catch Schmoll and myself on our show Ridiculous History 906 00:58:18,240 --> 00:58:20,800 Speaker 1: WI come out twice a week. You can find us 907 00:58:20,840 --> 00:58:27,200 Speaker 1: on Instagram, Facebook, all the podcast places Mainland, Right, what's 908 00:58:27,240 --> 00:58:29,840 Speaker 1: the show? We kind of just go into some of 909 00:58:29,880 --> 00:58:33,640 Speaker 1: the weirder, little off the beaten path kind of history nuggets, 910 00:58:33,640 --> 00:58:35,840 Speaker 1: a very kind of snack double show. Episodes are like 911 00:58:35,920 --> 00:58:38,720 Speaker 1: thirty to forty minutes, very bingeable. It's a lot of 912 00:58:38,760 --> 00:58:41,040 Speaker 1: fun to do. And um, we also do another show 913 00:58:41,240 --> 00:58:43,000 Speaker 1: called Stuff they Don't want you to know, where we 914 00:58:43,040 --> 00:58:46,840 Speaker 1: take a an open minded approach to conspiracy theories, and 915 00:58:46,960 --> 00:58:49,400 Speaker 1: I would say we take a critical thinking approach to 916 00:58:49,440 --> 00:58:53,080 Speaker 1: conspiracy much better and more accurate. So you can you 917 00:58:53,120 --> 00:58:55,960 Speaker 1: can find us on those shows. You can find us 918 00:58:56,000 --> 00:58:59,800 Speaker 1: all over the regular internet places and wherever you find 919 00:58:59,800 --> 00:59:02,960 Speaker 1: your favorite shows. You can also when you find us 920 00:59:02,960 --> 00:59:05,920 Speaker 1: on the social media stuff, just hit us up directly. 921 00:59:06,000 --> 00:59:09,800 Speaker 1: We're we're pretty approachable. Unlike some of the animals that 922 00:59:09,880 --> 00:59:13,280 Speaker 1: we met in today's episode. We don't bite you, guys, 923 00:59:13,320 --> 00:59:17,800 Speaker 1: aren't or or or yeah, or inject you with paralyzing venom. 924 00:59:17,880 --> 00:59:20,680 Speaker 1: Well that's polite of you, guys. You know, we try 925 00:59:20,720 --> 00:59:23,160 Speaker 1: to be affable. That's sort of like urba that that's 926 00:59:23,160 --> 00:59:26,560 Speaker 1: our adaptation is it's like the super affability. Yeah. My 927 00:59:26,640 --> 00:59:30,640 Speaker 1: producers are always like ben, stop injecting people with paralytic agents. 928 00:59:32,120 --> 00:59:35,800 Speaker 1: That was before my time. So you can find me 929 00:59:35,920 --> 00:59:39,959 Speaker 1: at Katie Golden or at pro bird Writes where it's 930 00:59:39,960 --> 00:59:43,080 Speaker 1: revealed I'm actually a bird. And you can check out 931 00:59:43,160 --> 00:59:48,439 Speaker 1: the podcast every Wednesday on iTunes or the I Heart 932 00:59:48,520 --> 00:59:51,800 Speaker 1: Radio app or wherever you get your podcasts, and just 933 00:59:52,040 --> 00:59:55,440 Speaker 1: hit us up. On Facebook, Twitter, and our website is 934 00:59:55,520 --> 00:59:59,240 Speaker 1: creature feature pod dot com. And thanks to the space 935 00:59:59,320 --> 01:00:03,160 Speaker 1: Cosas for letting us use their wonderful song Exo Lumina. 936 01:00:03,920 --> 01:00:06,880 Speaker 1: Mm hm