1 00:00:00,480 --> 00:00:05,160 Speaker 1: This week's classic episode is part of a part of 2 00:00:05,200 --> 00:00:09,200 Speaker 1: a continuing series that frankly, I don't think any of 3 00:00:09,280 --> 00:00:13,720 Speaker 1: us like doing. It's it's a grizzly thing, and it's 4 00:00:13,800 --> 00:00:18,200 Speaker 1: just it's necessary to talk about it. But once you 5 00:00:18,239 --> 00:00:22,759 Speaker 1: get past all the fiction and the crime dramas and stuff, 6 00:00:23,920 --> 00:00:28,440 Speaker 1: serial murderers are an incredibly evil thing. 7 00:00:28,800 --> 00:00:32,240 Speaker 2: It is something of a modern, you know creation. 8 00:00:32,479 --> 00:00:35,280 Speaker 3: I guess at the very least, the obsession with them 9 00:00:35,600 --> 00:00:38,199 Speaker 3: is uh, And we try not to, you know, be 10 00:00:38,400 --> 00:00:41,080 Speaker 3: on that tip in terms of just being so focused 11 00:00:41,080 --> 00:00:43,800 Speaker 3: on the grizzly, gory details of these kinds of things. 12 00:00:44,040 --> 00:00:47,080 Speaker 3: We try to just report the facts and really let 13 00:00:47,120 --> 00:00:52,000 Speaker 3: you know about this very distinctly modern construct that is 14 00:00:52,320 --> 00:00:53,520 Speaker 3: the serial killer. 15 00:00:53,880 --> 00:00:57,280 Speaker 4: Yeah, because you don't even know that it's a serial 16 00:00:57,360 --> 00:01:01,120 Speaker 4: killer until someone in law enforcement or in investigator connects 17 00:01:01,200 --> 00:01:04,360 Speaker 4: enough cases to realize, oh wait, there is a serial killer. 18 00:01:04,840 --> 00:01:08,400 Speaker 4: Which is why there are some known serial killers we're 19 00:01:08,440 --> 00:01:10,559 Speaker 4: going to talk about in this episode that were never 20 00:01:10,640 --> 00:01:14,319 Speaker 4: caught or are perhaps still out there, and there are 21 00:01:14,360 --> 00:01:19,679 Speaker 4: many others that are likely just unknown and existing anonymously. 22 00:01:20,040 --> 00:01:27,200 Speaker 1: Yeah. And although the current technological innovations regarding surveillance make 23 00:01:27,280 --> 00:01:31,520 Speaker 1: it more difficult for people to for killers to function 24 00:01:31,600 --> 00:01:35,440 Speaker 1: that way. It is far from impossible, and so there 25 00:01:35,440 --> 00:01:38,560 Speaker 1: are still here in twenty twenty three serial killers on 26 00:01:38,600 --> 00:01:43,440 Speaker 1: the loose, from UFOs to psychic powers and government conspiracies. 27 00:01:43,600 --> 00:01:47,400 Speaker 1: History is riddled with unexplained events. You can turn back 28 00:01:47,480 --> 00:01:50,600 Speaker 1: now or learn this stuff they don't want you to know. 29 00:02:03,840 --> 00:02:05,920 Speaker 4: Welcome back to the show. My name is Matt, my 30 00:02:06,080 --> 00:02:06,760 Speaker 4: name is Nolan. 31 00:02:07,000 --> 00:02:10,600 Speaker 1: They call me Ben. We are joined with our long suffering, 32 00:02:10,720 --> 00:02:15,239 Speaker 1: super tolerant super producer Paul Decant. Most importantly, you are here. 33 00:02:15,400 --> 00:02:18,560 Speaker 1: You are you that makes this stuff they don't want 34 00:02:18,639 --> 00:02:24,040 Speaker 1: you to know? Part three in a continuing series, The Trinthnity, 35 00:02:24,919 --> 00:02:30,360 Speaker 1: an unfortunately continuing series, we should add as well. You see, folks, 36 00:02:30,400 --> 00:02:35,440 Speaker 1: this is part three in our series on unapprehended serial 37 00:02:35,720 --> 00:02:40,359 Speaker 1: killers and in the past. In previous episodes we covered 38 00:02:40,520 --> 00:02:45,600 Speaker 1: the new Bedford Highway killer remains unapprehended, the Lisbon Ripper, 39 00:02:45,800 --> 00:02:50,120 Speaker 1: also unapprehended, Pedro Lopez, famously known as the Monster of 40 00:02:50,240 --> 00:02:50,960 Speaker 1: the Andes. 41 00:02:51,160 --> 00:02:54,440 Speaker 4: Once apprehended, then not anymore. 42 00:02:54,280 --> 00:02:58,400 Speaker 1: Yes, once apprehended then escaped. In a few years ago, 43 00:02:58,960 --> 00:03:04,520 Speaker 1: Interpol release a warrant or a call to find this guy. 44 00:03:05,440 --> 00:03:08,920 Speaker 1: And then we also covered the Connecticut River Valley Killer 45 00:03:09,280 --> 00:03:13,480 Speaker 1: and the possibilities of that killer's true identity. We also 46 00:03:13,520 --> 00:03:17,880 Speaker 1: covered the Long Island serial killer aka the Craigslist Ripper. 47 00:03:18,280 --> 00:03:20,640 Speaker 4: Yeah, and then we had Bible John thrown in there 48 00:03:20,760 --> 00:03:26,040 Speaker 4: from the last one the Babysitter, which was an odd 49 00:03:26,120 --> 00:03:31,560 Speaker 4: name I remember for a killer. The Freeway Phantom was one, 50 00:03:32,160 --> 00:03:36,880 Speaker 4: and the Maniac of Novasbiersk. Yeah, I believe that's how 51 00:03:36,960 --> 00:03:37,360 Speaker 4: you say it. 52 00:03:37,440 --> 00:03:38,240 Speaker 2: That sounds right to me. 53 00:03:38,360 --> 00:03:39,000 Speaker 4: Okay, cool. 54 00:03:40,000 --> 00:03:45,000 Speaker 1: And you can check out our previous episodes, one which 55 00:03:45,080 --> 00:03:48,960 Speaker 1: has a guest on the show who was not themselves 56 00:03:48,960 --> 00:03:51,600 Speaker 1: a serial killer so far as we know, and there 57 00:03:51,640 --> 00:03:57,160 Speaker 1: you can find some deep dives into both the methods 58 00:03:57,160 --> 00:04:00,960 Speaker 1: of murder, the times these killers were own to be active, 59 00:04:01,400 --> 00:04:04,640 Speaker 1: and the latest research at the time of the recording 60 00:04:05,000 --> 00:04:09,480 Speaker 1: regarding whether or not they will be apprehended. And we 61 00:04:09,520 --> 00:04:12,440 Speaker 1: did this along with serial killers who almost got away 62 00:04:12,520 --> 00:04:15,680 Speaker 1: who very well would have gotten away had they not 63 00:04:16,400 --> 00:04:19,960 Speaker 1: returned to an active state, and those would be people 64 00:04:20,040 --> 00:04:24,800 Speaker 1: like the Grim Sleeper or Dennis Radar also known as BTK, 65 00:04:24,960 --> 00:04:26,320 Speaker 1: or the bind Torture Kill. 66 00:04:28,560 --> 00:04:31,360 Speaker 4: And we've also explored the stories of the original night Stalker, 67 00:04:32,520 --> 00:04:36,040 Speaker 4: which was that was a tough one in the Highway. 68 00:04:35,680 --> 00:04:38,520 Speaker 1: Of Tears, especially which continues. 69 00:04:38,320 --> 00:04:42,000 Speaker 4: Man in Canada, there's a lot to go back and 70 00:04:42,040 --> 00:04:45,240 Speaker 4: listen to, so I would recommend just getting those archives, 71 00:04:45,800 --> 00:04:49,840 Speaker 4: go way back and explore it. But it's a grizzly. 72 00:04:49,560 --> 00:04:53,840 Speaker 1: Ride, and don't do it while you're eating, please. And 73 00:04:54,080 --> 00:04:56,839 Speaker 1: as we said at the top, more serial killers remain 74 00:04:57,000 --> 00:05:01,680 Speaker 1: on the loose today. We're boiler alert, not going to 75 00:05:01,720 --> 00:05:05,800 Speaker 1: have any chance of covering them all in this episode. 76 00:05:05,880 --> 00:05:09,360 Speaker 1: So as you are listening, if there is one that 77 00:05:09,600 --> 00:05:13,640 Speaker 1: you think your fellow listeners would find particularly fascinating, or 78 00:05:13,960 --> 00:05:18,120 Speaker 1: most importantly, if you think there might be some sort 79 00:05:18,160 --> 00:05:22,320 Speaker 1: of lead that could ultimately result in the apprehension, conviction, 80 00:05:22,440 --> 00:05:26,040 Speaker 1: or arrest of one of these unidentified killers, whether or 81 00:05:26,040 --> 00:05:29,760 Speaker 1: not they're on this show. Let us know several of 82 00:05:29,800 --> 00:05:32,920 Speaker 1: the killers we're exploring today have little or no chance 83 00:05:32,960 --> 00:05:37,159 Speaker 1: of facing up to the consequences of their crimes. Those 84 00:05:37,320 --> 00:05:43,560 Speaker 1: crimes being serial murder, right, so this is different from 85 00:05:43,960 --> 00:05:48,440 Speaker 1: a garden variety homicide, not to diminish the tragedies inherent 86 00:05:48,520 --> 00:05:52,960 Speaker 1: in that. And first, let's have a quick recap of 87 00:05:53,000 --> 00:05:55,960 Speaker 1: what exactly defines a serial killer. 88 00:05:56,839 --> 00:06:00,400 Speaker 5: So the base level criteria for a serial killer are 89 00:06:00,760 --> 00:06:04,640 Speaker 5: that this individual commits at least three murders in at 90 00:06:04,760 --> 00:06:08,640 Speaker 5: least three separate locations, and that there is something of 91 00:06:08,680 --> 00:06:11,960 Speaker 5: a cooling off period in between. It's almost like a 92 00:06:12,160 --> 00:06:13,560 Speaker 5: kind of hibernation, almost. 93 00:06:13,760 --> 00:06:15,920 Speaker 4: Yeah. And that comes from the nineteen ninety two Crime 94 00:06:15,960 --> 00:06:20,200 Speaker 4: Classification Manual, and that's where it outlines all that stuff. 95 00:06:20,200 --> 00:06:24,320 Speaker 4: But that's not where the term serial killer originates, right. 96 00:06:24,480 --> 00:06:27,880 Speaker 1: The term serial killers we understand it today was coined 97 00:06:28,000 --> 00:06:31,760 Speaker 1: in the mid nineteen seventies by former director of the 98 00:06:31,839 --> 00:06:36,360 Speaker 1: FBI's Violent Criminal Apprehension Program, a man named Robert Wrestler. 99 00:06:36,839 --> 00:06:40,239 Speaker 1: He chose serial for peak behind the Curtain here because 100 00:06:40,279 --> 00:06:44,279 Speaker 1: the police in England called these types of murders crimes 101 00:06:44,320 --> 00:06:48,320 Speaker 1: in a series quote unquote, and because of the serial 102 00:06:48,520 --> 00:06:52,400 Speaker 1: films that he grew up watching. In Part two of 103 00:06:52,440 --> 00:06:55,320 Speaker 1: the series, in the previous episode on Uncaught serial Killers, 104 00:06:55,560 --> 00:06:58,040 Speaker 1: we examined some of the methods that have been used 105 00:06:58,080 --> 00:07:02,160 Speaker 1: to classify this type of order based on their motivations, 106 00:07:02,200 --> 00:07:06,560 Speaker 1: their processes, the very rough demographics from killers who were 107 00:07:06,600 --> 00:07:10,440 Speaker 1: caught or were observed in enough detail by witnesses or 108 00:07:10,520 --> 00:07:16,320 Speaker 1: survivors to create a reasonable a reasonable shot at a 109 00:07:16,680 --> 00:07:23,000 Speaker 1: physical description. And what we've learned from these various investigations 110 00:07:23,240 --> 00:07:26,480 Speaker 1: is that real life serial killers, as exceedingly rare as 111 00:07:26,480 --> 00:07:32,880 Speaker 1: they are, don't often match the image of a killer 112 00:07:32,920 --> 00:07:35,400 Speaker 1: of this type that you would see in so many 113 00:07:35,440 --> 00:07:36,200 Speaker 1: works of fiction. 114 00:07:36,800 --> 00:07:39,760 Speaker 4: Yeah, and you know, this is the first uncaught serial 115 00:07:39,840 --> 00:07:42,440 Speaker 4: Killers episode we've done since mind Hunter has been out 116 00:07:42,440 --> 00:07:43,120 Speaker 4: on Netflix. 117 00:07:43,240 --> 00:07:43,920 Speaker 1: Oh, that's true. 118 00:07:44,160 --> 00:07:46,560 Speaker 4: Well, and that's just one of those shows that really 119 00:07:46,600 --> 00:07:49,760 Speaker 4: gets you into the behavioral science department of the FBI 120 00:07:49,920 --> 00:07:54,640 Speaker 4: and how they're thinking about crimes in a series really 121 00:07:54,640 --> 00:07:57,840 Speaker 4: has evolved over time, and how the psychology of some 122 00:07:57,960 --> 00:07:59,760 Speaker 4: of these people, how it functions. 123 00:08:00,000 --> 00:08:02,280 Speaker 5: I think it's interesting how little action that show has, 124 00:08:02,320 --> 00:08:04,000 Speaker 5: but how it still keeps you on the edge of 125 00:08:04,000 --> 00:08:07,240 Speaker 5: your seat, and it really reveals so much about the 126 00:08:07,240 --> 00:08:09,320 Speaker 5: inner workings, and like a lot of the tension comes 127 00:08:09,320 --> 00:08:10,880 Speaker 5: from conversation rather than. 128 00:08:11,160 --> 00:08:13,920 Speaker 2: Confrontation kind of. And I think it's really really great show. 129 00:08:14,600 --> 00:08:17,200 Speaker 4: But unlike some of the highlights from a show, a 130 00:08:17,240 --> 00:08:22,280 Speaker 4: fictionalized show like that, these murderers are not brilliant masterminds. 131 00:08:22,360 --> 00:08:25,440 Speaker 4: Many times, a lot of times they are just like 132 00:08:26,160 --> 00:08:30,360 Speaker 4: you and I they have families, they have networks of friends, 133 00:08:30,440 --> 00:08:34,000 Speaker 4: they drive cars, they have a car note that they pay, 134 00:08:34,040 --> 00:08:37,680 Speaker 4: They've got a mortgage perhaps or something to that effect, 135 00:08:38,080 --> 00:08:40,079 Speaker 4: and they might even be on social media. 136 00:08:40,559 --> 00:08:43,079 Speaker 5: And these impulses that we're talking about, like this urge 137 00:08:43,120 --> 00:08:46,480 Speaker 5: to kill in this way is less some sort of 138 00:08:46,520 --> 00:08:50,080 Speaker 5: calculated mastermind kind of thing, and as it is like 139 00:08:50,120 --> 00:08:53,320 Speaker 5: an addiction that you're constantly struggling with and fighting every 140 00:08:53,400 --> 00:08:56,240 Speaker 5: day and having to kind of figure out how to 141 00:08:56,280 --> 00:08:59,720 Speaker 5: incorporate it into that family life and not be discovered, 142 00:09:00,000 --> 00:09:03,360 Speaker 5: you know. I mean, it's a really fascinating psychological landscape 143 00:09:03,480 --> 00:09:03,960 Speaker 5: for these. 144 00:09:03,800 --> 00:09:10,160 Speaker 1: Crimes and serial killers like many other people, because ultimately, 145 00:09:10,320 --> 00:09:15,840 Speaker 1: these are not some sort of superpowered subspecies of humanity. 146 00:09:16,360 --> 00:09:22,840 Speaker 1: These are people at base right, and ultimately they are 147 00:09:23,160 --> 00:09:27,360 Speaker 1: as varied in terms of their demographic description or their 148 00:09:27,400 --> 00:09:31,840 Speaker 1: motivations as another person would be about their own, you know, 149 00:09:31,960 --> 00:09:38,440 Speaker 1: socioeconomic status, thrown genetic makeup their aims and desires. Just 150 00:09:38,559 --> 00:09:43,880 Speaker 1: as there are serial killers who feel they have voices 151 00:09:43,920 --> 00:09:47,319 Speaker 1: commanding them to do something, there are also serial killers 152 00:09:47,400 --> 00:09:51,360 Speaker 1: who have a belief that you know, as Noel said, 153 00:09:51,400 --> 00:09:54,320 Speaker 1: there there's maybe a compulsion and then there may also 154 00:09:54,400 --> 00:09:57,440 Speaker 1: be a belief that a certain amount of people must 155 00:09:57,440 --> 00:10:00,920 Speaker 1: be killed in a certain way for some sort of design. 156 00:10:01,840 --> 00:10:07,480 Speaker 1: These are not cookie cutter profiles. And we want to 157 00:10:07,520 --> 00:10:12,880 Speaker 1: emphasize again the damning thing about the information we do have, 158 00:10:13,000 --> 00:10:17,080 Speaker 1: we being human civilization law enforcement at large, is that 159 00:10:17,200 --> 00:10:22,320 Speaker 1: we are basing these classifications almost entirely on incomplete evidence, 160 00:10:22,480 --> 00:10:26,960 Speaker 1: because we're only talking usually about the ones who get caught. 161 00:10:27,240 --> 00:10:28,920 Speaker 4: Yeah, because how do you talk about the ones who 162 00:10:28,920 --> 00:10:32,520 Speaker 4: are still out there? I mean, if you can't interview 163 00:10:32,559 --> 00:10:35,120 Speaker 4: someone and they can't tell you something, you're just inferring 164 00:10:35,400 --> 00:10:37,120 Speaker 4: from what you find at a crime scene. 165 00:10:37,559 --> 00:10:42,920 Speaker 1: So we've mentioned in previous episodes that again pre mind Hunters, 166 00:10:43,320 --> 00:10:45,839 Speaker 1: a lot of people would be most familiar with certain 167 00:10:46,679 --> 00:10:49,720 Speaker 1: fictional characters when they think of serial killers, like a 168 00:10:49,760 --> 00:10:52,680 Speaker 1: Hannibal Lecter, sure or Dexter for instance. 169 00:10:52,800 --> 00:10:53,000 Speaker 4: Right. 170 00:10:53,360 --> 00:10:58,079 Speaker 1: And in both of those cases, the killers are they 171 00:10:58,200 --> 00:11:02,840 Speaker 1: ultimately transform into anti hero right. And they are also 172 00:11:03,240 --> 00:11:11,280 Speaker 1: meticulous and brilliant and very rarely driven by passion rather 173 00:11:11,320 --> 00:11:17,640 Speaker 1: than premeditation, which in real life is not always the case. 174 00:11:18,640 --> 00:11:22,720 Speaker 5: Have you guys seen Manhunter, the original appearance of Hanniballecter, 175 00:11:23,320 --> 00:11:27,160 Speaker 5: the original no it's weird, it's very eighties, but it's 176 00:11:27,200 --> 00:11:31,040 Speaker 5: it's very beautifully shot. And Brian Cox plays Hannibal elect 177 00:11:31,480 --> 00:11:34,240 Speaker 5: which is interesting because we know, you know the Anthony 178 00:11:34,320 --> 00:11:37,240 Speaker 5: Hopkins portrayal of that role so well, because it's so 179 00:11:38,120 --> 00:11:41,080 Speaker 5: over the top, kind of like you see him in 180 00:11:41,120 --> 00:11:43,280 Speaker 5: that role and you're almost like, how would anyone not 181 00:11:43,400 --> 00:11:46,440 Speaker 5: peg that dude for a psycho a mile away? Brian 182 00:11:46,520 --> 00:11:51,000 Speaker 5: Cox plays it much more understated and much more like, 183 00:11:51,080 --> 00:11:54,800 Speaker 5: you know, he could pass for a regular dude, Whereas 184 00:11:54,800 --> 00:11:58,080 Speaker 5: Anthony Hopkins, while that performance is captivating, I kind of 185 00:11:58,080 --> 00:12:01,320 Speaker 5: feel like, how would you not know that that guy's 186 00:12:01,320 --> 00:12:02,400 Speaker 5: got bodies in his basement? 187 00:12:02,800 --> 00:12:06,160 Speaker 4: I have to say really fast. When I hear Brian Cox, 188 00:12:06,240 --> 00:12:09,560 Speaker 4: I think of the physicist that I remember from our 189 00:12:09,640 --> 00:12:13,079 Speaker 4: days with Discovery, the younger cern. I believe he's a 190 00:12:13,120 --> 00:12:17,199 Speaker 4: certain physicist, and I don't think I know what Brian Cox, 191 00:12:17,240 --> 00:12:18,160 Speaker 4: the actor looks like. 192 00:12:19,679 --> 00:12:21,640 Speaker 1: Well you are in luck. 193 00:12:24,040 --> 00:12:26,160 Speaker 4: Oh yes, okay, very familiar. 194 00:12:26,240 --> 00:12:29,440 Speaker 1: Okay, So for everyone who can't see, because this is 195 00:12:29,440 --> 00:12:32,240 Speaker 1: of course coming to you as the audio podcast, Noel 196 00:12:32,320 --> 00:12:37,000 Speaker 1: pulled up a photograph of Brian Cox for Matt's illumination. 197 00:12:36,600 --> 00:12:40,240 Speaker 4: And meanwhile, I'm looking at the English author and physicist. 198 00:12:40,760 --> 00:12:42,680 Speaker 5: He does come up first, though I know why. I 199 00:12:42,679 --> 00:12:44,800 Speaker 5: think I spelled Brian's name wrong. He has an English 200 00:12:44,840 --> 00:12:49,199 Speaker 5: spelling maybe br a n versus No, No, their names 201 00:12:49,200 --> 00:12:51,640 Speaker 5: are spell identically, but Brian Cox, the physicist, definitely comes 202 00:12:51,679 --> 00:12:52,440 Speaker 5: up before the actor. 203 00:12:53,280 --> 00:12:54,240 Speaker 2: Good on you, Google. 204 00:12:54,800 --> 00:12:56,880 Speaker 1: You know what. I will take that a step further 205 00:12:56,920 --> 00:12:58,719 Speaker 1: and say, good on you humanity. 206 00:12:58,840 --> 00:13:02,440 Speaker 5: Maybe it's because Stephen Hawking died today and so physics 207 00:13:02,480 --> 00:13:03,760 Speaker 5: are at top of mind. 208 00:13:04,320 --> 00:13:05,920 Speaker 4: Yeah, I got to work. That was a tough thing. 209 00:13:06,559 --> 00:13:10,400 Speaker 1: That's true. Yes, as we're recording this, it is both 210 00:13:10,800 --> 00:13:14,680 Speaker 1: the anniversary of Albert Einstein's birth, it is Pie Day, 211 00:13:14,760 --> 00:13:20,640 Speaker 1: and it is the day that Stephen Hawking's legendary astrophysicist expired. 212 00:13:21,240 --> 00:13:23,959 Speaker 1: This may well be old news by the time this 213 00:13:24,040 --> 00:13:28,280 Speaker 1: hits the airwaves, but hopefully it's still relevant. And what 214 00:13:28,320 --> 00:13:32,439 Speaker 1: a fascinating what a fascinating person. But wait, you may 215 00:13:32,480 --> 00:13:36,439 Speaker 1: be saying, isn't this an episode about uncaught serial killers? 216 00:13:36,760 --> 00:13:39,960 Speaker 1: It is indeed, and we'll dive into that after a 217 00:13:39,960 --> 00:13:49,360 Speaker 1: word from our sponsor. Here's where it gets crazy. 218 00:13:50,240 --> 00:13:55,680 Speaker 4: There are so many serial killers that have been active 219 00:13:55,679 --> 00:13:58,839 Speaker 4: over the years that are still uncaught that may be 220 00:13:59,000 --> 00:14:02,280 Speaker 4: active right now, maybe we're just unaware of it. 221 00:14:03,520 --> 00:14:07,040 Speaker 5: Or that have been caught and released or caught and 222 00:14:07,080 --> 00:14:10,920 Speaker 5: then you know, evidence, very compelling evidence exists. 223 00:14:11,000 --> 00:14:13,640 Speaker 2: But some technicality has allowed them to walk free. 224 00:14:13,800 --> 00:14:17,960 Speaker 1: It's possibility, or as also happens, they may have been 225 00:14:18,360 --> 00:14:23,080 Speaker 1: apprehended for another crime and not tied to the murders 226 00:14:23,680 --> 00:14:26,880 Speaker 1: right as the case might be, but instead be languishing 227 00:14:27,160 --> 00:14:29,040 Speaker 1: in prison ye some time. 228 00:14:29,080 --> 00:14:32,280 Speaker 4: And then maybe police are out, authorities are looking for 229 00:14:32,360 --> 00:14:36,320 Speaker 4: someone and they right under their noses. We just don't know. 230 00:14:36,680 --> 00:14:41,760 Speaker 1: So let's travel to India, to Mumbai, and let's look 231 00:14:41,800 --> 00:14:45,880 Speaker 1: at some specific examples of serial killers on the loose 232 00:14:46,000 --> 00:14:49,120 Speaker 1: or at least unapprehended. Today, we're looking at a killer 233 00:14:49,240 --> 00:14:52,560 Speaker 1: known as beer Man. That's our first example. And yes, 234 00:14:52,680 --> 00:14:57,440 Speaker 1: that is beer br like something you would you know, cold, 235 00:14:57,480 --> 00:15:00,000 Speaker 1: when you would crack open with the boys, to paraphrase Reddit. 236 00:15:01,040 --> 00:15:04,840 Speaker 1: So between October two thousand and six and January two 237 00:15:04,840 --> 00:15:09,360 Speaker 1: thousand and seven, by India, the press and law enforcement 238 00:15:09,480 --> 00:15:13,280 Speaker 1: were on the track of a killer they called beer 239 00:15:13,360 --> 00:15:17,040 Speaker 1: Man because according to them, them being the press and 240 00:15:17,160 --> 00:15:21,720 Speaker 1: law enforcement, one of the primary linkages between these deaths 241 00:15:22,120 --> 00:15:26,080 Speaker 1: was the presence of beer bottles near the bodies. But 242 00:15:26,200 --> 00:15:28,200 Speaker 1: you'll find conflicting info about this case. 243 00:15:28,440 --> 00:15:32,560 Speaker 4: Yeah. One source said there were only two beer cans 244 00:15:32,840 --> 00:15:37,000 Speaker 4: found throughout the entirety of this serial killer's run, and 245 00:15:37,040 --> 00:15:39,280 Speaker 4: it was only two victims and they were in fact 246 00:15:39,360 --> 00:15:43,480 Speaker 4: beer cans. But again, this is reporting from India and 247 00:15:43,520 --> 00:15:46,120 Speaker 4: the sources were using or everything from the Times of 248 00:15:46,200 --> 00:15:52,080 Speaker 4: India to NDTV to there's a blog called open Something 249 00:15:52,320 --> 00:15:54,320 Speaker 4: that I can't recall any of it right now, but 250 00:15:54,560 --> 00:15:59,880 Speaker 4: they're varying sources and we're definitely getting conflicting information. Hear U. 251 00:16:00,240 --> 00:16:03,640 Speaker 5: How in most movies about serial killers, the cops always 252 00:16:03,680 --> 00:16:06,760 Speaker 5: are super pissed when the press gives a snappy nickname 253 00:16:06,800 --> 00:16:09,600 Speaker 5: to a killer like that is not serving their goals. 254 00:16:09,680 --> 00:16:12,520 Speaker 5: Usually they're usually very annoyed, or if someone refers to 255 00:16:12,560 --> 00:16:15,720 Speaker 5: them like that as an internal memo, they're like, you know, 256 00:16:15,720 --> 00:16:16,960 Speaker 5: you better not let this get out. 257 00:16:17,800 --> 00:16:20,960 Speaker 1: Yeah, And that happens in real life too, because one 258 00:16:21,040 --> 00:16:23,600 Speaker 1: of the one of the things that puts the press 259 00:16:23,640 --> 00:16:27,360 Speaker 1: and law enforcement and loggerheads in the investigations of these 260 00:16:27,520 --> 00:16:32,360 Speaker 1: crimes is going to be the idea of the good scoop, 261 00:16:32,520 --> 00:16:37,680 Speaker 1: the exclusive scoop versus the need to hold information back 262 00:16:37,960 --> 00:16:41,920 Speaker 1: so they can real identify the killer. Because another trope 263 00:16:41,960 --> 00:16:44,840 Speaker 1: in fiction that does turn out to be true, unfortunately, 264 00:16:45,320 --> 00:16:50,000 Speaker 1: is that when the specific details of a murder or 265 00:16:50,280 --> 00:16:55,680 Speaker 1: a murderer's rituals are released, copycat people or people who 266 00:16:55,760 --> 00:16:59,240 Speaker 1: want the attention will just call into the police department 267 00:16:59,480 --> 00:17:01,960 Speaker 1: and say, you know, you got me. I am the 268 00:17:02,080 --> 00:17:03,960 Speaker 1: Bago Badger's butcher or whatever. 269 00:17:04,840 --> 00:17:06,000 Speaker 2: I knew it was you all along. 270 00:17:06,080 --> 00:17:08,440 Speaker 1: Ben, Oh, this is my Paul impression. 271 00:17:08,560 --> 00:17:09,760 Speaker 2: I like it, no, but it's true. 272 00:17:09,800 --> 00:17:11,720 Speaker 5: And I mean, can you imagine being a cop responsible 273 00:17:11,720 --> 00:17:13,840 Speaker 5: for solving one of these crimes? How annoying and like 274 00:17:14,160 --> 00:17:17,119 Speaker 5: muddling it must be when this information starts flooding the 275 00:17:17,160 --> 00:17:22,160 Speaker 5: press and you're constantly having to differentiate between real information 276 00:17:22,480 --> 00:17:24,960 Speaker 5: and these jerks that are just trying to like waste 277 00:17:24,960 --> 00:17:25,640 Speaker 5: your time and. 278 00:17:25,520 --> 00:17:27,800 Speaker 2: Get a little you know, get a little rise. You know, 279 00:17:27,840 --> 00:17:29,600 Speaker 2: I can't, I mean, I you know. 280 00:17:29,840 --> 00:17:33,200 Speaker 4: But then from a journalist's perspective, it's almost your duty 281 00:17:33,240 --> 00:17:38,840 Speaker 4: to inform the people around you, the public like dangers 282 00:17:38,880 --> 00:17:42,160 Speaker 4: that exist. So you have those two competing things. 283 00:17:42,200 --> 00:17:47,280 Speaker 1: It's very true, and you know, we can't assign motives 284 00:17:47,320 --> 00:17:52,440 Speaker 1: to journalism entire because it's also true that journalists will 285 00:17:52,480 --> 00:17:58,120 Speaker 1: seek to gain the most credibility in the media marketplace, 286 00:17:58,359 --> 00:18:01,719 Speaker 1: and it's also true they want to sell the most 287 00:18:02,600 --> 00:18:04,720 Speaker 1: maybe sell the most papers back in the day, get 288 00:18:04,760 --> 00:18:08,680 Speaker 1: the most clicks online nowadays. And yes, by the way, 289 00:18:09,080 --> 00:18:13,879 Speaker 1: side note, it's entirely possible that an active serial killer 290 00:18:13,920 --> 00:18:17,480 Speaker 1: today is on social media just because of the numbers. However, 291 00:18:19,280 --> 00:18:22,040 Speaker 1: one one thing that we have noticed in the past 292 00:18:22,160 --> 00:18:25,119 Speaker 1: is that there have been times where journalists have assigned 293 00:18:25,200 --> 00:18:29,520 Speaker 1: a killer or a perceived killer a nickname that the 294 00:18:29,600 --> 00:18:33,720 Speaker 1: killer themselves objected to, you know, like don't call me 295 00:18:35,119 --> 00:18:38,320 Speaker 1: the baby rubber I am, you know, the King of Darkness, 296 00:18:38,720 --> 00:18:43,080 Speaker 1: and then it becomes it introduces this whole new layer 297 00:18:43,760 --> 00:18:48,360 Speaker 1: of complication with investigating the case. And you know, one 298 00:18:48,359 --> 00:18:51,840 Speaker 1: of the things that law enforcement doesn't want a killer 299 00:18:51,880 --> 00:18:55,480 Speaker 1: to do. One of the reasons they dislike nicknames in general, 300 00:18:55,920 --> 00:18:59,119 Speaker 1: is because some of these murders have latched onto this 301 00:18:59,200 --> 00:19:02,600 Speaker 1: in the past. Right Jack the Ripper, right the axe 302 00:19:02,600 --> 00:19:06,640 Speaker 1: man in New Orleans, or let's see, did the Zodiac 303 00:19:06,720 --> 00:19:07,680 Speaker 1: killer self assigned? 304 00:19:07,880 --> 00:19:10,240 Speaker 5: That's a weird one though, right, because I feel like 305 00:19:10,359 --> 00:19:13,440 Speaker 5: he set the terms for his role, and then the 306 00:19:13,520 --> 00:19:15,560 Speaker 5: press kind of fed back into it and became this 307 00:19:15,640 --> 00:19:18,240 Speaker 5: like weird feedback loop. But I kind of want to 308 00:19:18,240 --> 00:19:20,600 Speaker 5: say he at least had a symbol of some kind 309 00:19:20,680 --> 00:19:22,240 Speaker 5: or did he sign his letter Zodiac. 310 00:19:23,560 --> 00:19:25,879 Speaker 1: We're going to have to dive in. We could do 311 00:19:25,920 --> 00:19:28,960 Speaker 1: an entire episode on the Zodiac killer. For now, let's 312 00:19:28,960 --> 00:19:31,360 Speaker 1: look at the beer man. Let's go back to India. 313 00:19:31,960 --> 00:19:35,000 Speaker 1: Current speculation as we record this puts the number of 314 00:19:35,080 --> 00:19:40,119 Speaker 1: victims at between six to eight individuals. Their methods of 315 00:19:40,440 --> 00:19:44,320 Speaker 1: murder differ. They were killed by being hit on the 316 00:19:44,359 --> 00:19:47,439 Speaker 1: head with a stone, in some cases bludgeoned, or in 317 00:19:47,480 --> 00:19:51,600 Speaker 1: other cases, according to in DTV, they were stabbed in 318 00:19:51,680 --> 00:19:52,160 Speaker 1: the chest. 319 00:19:52,320 --> 00:19:58,080 Speaker 4: Yeah, several different types of bludgeonings occurred in stabbings. From 320 00:19:58,080 --> 00:20:02,280 Speaker 4: the reports we had read, though, all the men there 321 00:20:02,320 --> 00:20:03,919 Speaker 4: were there were several men. The first victim was a 322 00:20:03,960 --> 00:20:08,200 Speaker 4: taxi driver that was found. All the men were poor 323 00:20:08,480 --> 00:20:12,359 Speaker 4: or not at least not wealthy. Some of them were homeless. 324 00:20:12,880 --> 00:20:16,160 Speaker 4: It was surmised that the killer himself was probably not poor. 325 00:20:16,520 --> 00:20:20,720 Speaker 4: And this is for several several reasons. Because first of all, 326 00:20:20,800 --> 00:20:23,040 Speaker 4: he drinks beer out of cans, which I guess is 327 00:20:23,119 --> 00:20:28,040 Speaker 4: a factor. And then also because he must have been 328 00:20:28,240 --> 00:20:32,000 Speaker 4: or was probably operating a vehicle of some sort, and 329 00:20:32,040 --> 00:20:34,000 Speaker 4: you have to have a certain amount of money in 330 00:20:34,000 --> 00:20:36,920 Speaker 4: India in that area to own or at least operate 331 00:20:36,960 --> 00:20:37,720 Speaker 4: a vehicle. 332 00:20:37,560 --> 00:20:39,160 Speaker 1: In any part of the world, wouldn't drink beer? 333 00:20:39,160 --> 00:20:40,359 Speaker 2: Had a glass bee fancy here? 334 00:20:41,280 --> 00:20:45,399 Speaker 4: Possibly, I don't. I don't know the customs in that area, 335 00:20:45,640 --> 00:20:48,800 Speaker 4: but yeah, it was. It was given as drinking beer 336 00:20:48,840 --> 00:20:50,960 Speaker 4: from a can was one of the reasons. 337 00:20:51,119 --> 00:20:55,280 Speaker 1: Well, I know that in cases with glass bottled beverages 338 00:20:55,440 --> 00:20:59,920 Speaker 1: like Thumbs Up, which is popular soda, that the glasses 339 00:21:00,080 --> 00:21:03,960 Speaker 1: are typically purchased and returned and then refilled. That makes sense, 340 00:21:04,200 --> 00:21:07,040 Speaker 1: so that might play a role in there. They also 341 00:21:07,119 --> 00:21:11,400 Speaker 1: attempted to build a profile, and they said that the 342 00:21:11,520 --> 00:21:16,359 Speaker 1: killer was likely young, early thirties, thirty to thirty five, 343 00:21:16,760 --> 00:21:20,720 Speaker 1: and in pretty good physical shape because he was able 344 00:21:20,760 --> 00:21:25,800 Speaker 1: to overpower his victims easily. The killers well, the sites 345 00:21:25,800 --> 00:21:29,440 Speaker 1: of the murders were secluded spots, which to them indicated 346 00:21:29,520 --> 00:21:34,359 Speaker 1: that this murderer knew South Mumbai well, or here's the 347 00:21:34,440 --> 00:21:39,320 Speaker 1: terrifying thing, knows South Mumbay well. 348 00:21:38,320 --> 00:21:42,080 Speaker 5: And the perpetrator of these crimes was believed to have 349 00:21:42,160 --> 00:21:47,040 Speaker 5: had sex with five of his victims before killing them. 350 00:21:47,640 --> 00:21:51,439 Speaker 2: At the fourth scene. The killer allegedly left a note 351 00:21:51,520 --> 00:21:52,919 Speaker 2: which was written in very. 352 00:21:52,800 --> 00:21:55,760 Speaker 5: Polished English, and while he may have had good English, 353 00:21:55,800 --> 00:21:58,000 Speaker 5: he did not have good hand running, apparently because most 354 00:21:58,000 --> 00:22:01,160 Speaker 5: of the text of the letter was undecided, or it's 355 00:22:01,160 --> 00:22:04,200 Speaker 5: possible that the cops chose not to release the contents 356 00:22:04,200 --> 00:22:07,520 Speaker 5: in full and just exert it instead. But one of 357 00:22:07,560 --> 00:22:10,000 Speaker 5: the things that was contained in the note was the 358 00:22:10,400 --> 00:22:13,359 Speaker 5: quite chilling welcome to the clan. 359 00:22:14,040 --> 00:22:18,359 Speaker 4: Yeah yeah, what does that mean? Like an initiation of 360 00:22:18,400 --> 00:22:19,000 Speaker 4: some sort? 361 00:22:19,600 --> 00:22:24,120 Speaker 1: Right c LA and not kl right yeah. So again 362 00:22:24,160 --> 00:22:27,160 Speaker 1: there are differences in them the mode of operation here, 363 00:22:27,240 --> 00:22:32,800 Speaker 1: specifically stabbing versus bludgeoning or also strangulation. Police believe that 364 00:22:33,080 --> 00:22:37,240 Speaker 1: these murders have been committed by the same man, and 365 00:22:37,320 --> 00:22:40,760 Speaker 1: then things took a turn. On January twenty second, two 366 00:22:40,800 --> 00:22:45,880 Speaker 1: thousand and seven, Mumbai law enforcement arrested someone for the murders. 367 00:22:45,840 --> 00:22:51,280 Speaker 4: A man named Revendra Control and it's also written contrallou 368 00:22:51,440 --> 00:22:55,360 Speaker 4: in a couple of places, So Revendra cantrol I think 369 00:22:55,359 --> 00:22:57,920 Speaker 4: that's what we'll probably call him for this. They rested 370 00:22:57,960 --> 00:23:00,160 Speaker 4: him for the murders and according to the Times of India, 371 00:23:00,240 --> 00:23:04,240 Speaker 4: once he was in custody, he was subjected to several tests, 372 00:23:04,440 --> 00:23:07,600 Speaker 4: some of which I at least personally was not familiar with. 373 00:23:07,960 --> 00:23:12,040 Speaker 4: They called it one narco analysis, which we think is 374 00:23:12,080 --> 00:23:15,280 Speaker 4: probably just a drug test of some sort, brain mapping 375 00:23:15,640 --> 00:23:19,040 Speaker 4: which I have not seen used in law enforcement, and 376 00:23:19,200 --> 00:23:24,320 Speaker 4: polygraph So let's go through these really fast. The narcoanalysis 377 00:23:24,359 --> 00:23:28,480 Speaker 4: tests that mister Ravendro went through, they seemed to clear 378 00:23:28,560 --> 00:23:31,480 Speaker 4: up the beer mystery, according to the Times of India, 379 00:23:32,760 --> 00:23:36,800 Speaker 4: saying okay, so he allegedly said, as he's going through 380 00:23:36,800 --> 00:23:41,160 Speaker 4: this test that he would make him his victims drink 381 00:23:41,240 --> 00:23:45,439 Speaker 4: beer before killing them. But he did deny, according to 382 00:23:45,720 --> 00:23:50,600 Speaker 4: the Times of India, any sexual conduct with his victims. 383 00:23:50,640 --> 00:23:54,280 Speaker 1: And a lot of homophobia draws into this part of 384 00:23:54,320 --> 00:23:58,879 Speaker 1: the investigation, which has happened before. For instance, one of 385 00:23:58,960 --> 00:24:04,080 Speaker 1: John Wayne Gacy's primary things that he stuck to for 386 00:24:04,119 --> 00:24:07,199 Speaker 1: his entire time in prison was that he was not 387 00:24:07,320 --> 00:24:10,800 Speaker 1: a homosexual, and he was very irritated and frustrated that 388 00:24:10,840 --> 00:24:14,560 Speaker 1: he felt the press was unfairly calling him that. And 389 00:24:14,640 --> 00:24:19,160 Speaker 1: there's an echo of this here with the suspect revengra 390 00:24:19,680 --> 00:24:23,960 Speaker 1: Control saying that he was being falsely accused of being 391 00:24:24,000 --> 00:24:25,679 Speaker 1: attracted to the same sex. 392 00:24:25,640 --> 00:24:28,560 Speaker 5: And that trope actually going to come into play later 393 00:24:28,640 --> 00:24:31,280 Speaker 5: on in today's episode in a very big way. 394 00:24:31,960 --> 00:24:34,000 Speaker 4: Now, the other test, one the other ones, was called 395 00:24:34,000 --> 00:24:38,720 Speaker 4: brain mapping, and with this one, Controlla was attached to 396 00:24:38,800 --> 00:24:43,680 Speaker 4: a device that looked at I guess, brain signals, brain waves, 397 00:24:43,760 --> 00:24:48,240 Speaker 4: if you will, while he's looking at pictures of victims 398 00:24:48,440 --> 00:24:50,280 Speaker 4: from these the beer Man killings. 399 00:24:50,440 --> 00:24:52,640 Speaker 2: Sounds like some black mirror stuff, right, it. 400 00:24:52,440 --> 00:24:56,639 Speaker 4: Does, right, And allegedly, according to these sources, he showed 401 00:24:56,680 --> 00:25:00,400 Speaker 4: signs of recognizing several of the photographs. 402 00:25:00,119 --> 00:25:02,600 Speaker 1: So maybe the activity in a certain region of his 403 00:25:02,640 --> 00:25:06,280 Speaker 1: brain spiked when he saw certain photographs. And then we're 404 00:25:06,320 --> 00:25:10,960 Speaker 1: assuming if it were to be a valid test, they 405 00:25:11,000 --> 00:25:14,560 Speaker 1: would also present him with pictures of strangers, yes, and 406 00:25:14,640 --> 00:25:16,960 Speaker 1: contrast those those findings. 407 00:25:16,960 --> 00:25:19,560 Speaker 4: So yeah, but we don't have the specifics of these 408 00:25:19,560 --> 00:25:22,919 Speaker 4: tests that were performed over Vendra. The last one is 409 00:25:23,080 --> 00:25:26,520 Speaker 4: polygraph which is inadmissible in US. 410 00:25:26,359 --> 00:25:29,560 Speaker 1: Courts because it's a load of whoy. 411 00:25:29,080 --> 00:25:32,919 Speaker 4: Yes, And those are the tests you know this already, 412 00:25:32,920 --> 00:25:35,520 Speaker 4: but those are the tests that look at how your 413 00:25:35,560 --> 00:25:38,720 Speaker 4: body is responding to stress while you're under questioning. 414 00:25:38,480 --> 00:25:40,840 Speaker 1: Oh, did we tell everybody the way to beat a 415 00:25:40,880 --> 00:25:44,480 Speaker 1: polygraph on this show or the way to render it. 416 00:25:43,880 --> 00:25:46,080 Speaker 2: Is like the thumbtack method. I know that's one. 417 00:25:46,200 --> 00:25:48,760 Speaker 1: That's one. Yeah, yeah, what is the thumb tag? 418 00:25:48,880 --> 00:25:52,359 Speaker 5: I think if you just have like a baseline of 419 00:25:52,440 --> 00:25:55,480 Speaker 5: pain that you have, it can skew the entire results. 420 00:25:55,480 --> 00:25:57,640 Speaker 5: So if you like sneak in a thumbtack and it's 421 00:25:57,720 --> 00:25:59,720 Speaker 5: like stab yourself in the lag with a thumbtack the 422 00:25:59,840 --> 00:26:03,280 Speaker 5: entire time, it's going to skew the results, where the 423 00:26:03,320 --> 00:26:06,440 Speaker 5: baseline of like calmness I guess that it's looking for 424 00:26:06,760 --> 00:26:09,639 Speaker 5: is going to be much more difficult to ascertain, and 425 00:26:09,680 --> 00:26:13,240 Speaker 5: it may look like a faked test, it's like you know, 426 00:26:13,440 --> 00:26:15,960 Speaker 5: or it may look like a botch test or something 427 00:26:16,040 --> 00:26:16,640 Speaker 5: was wrong, but they. 428 00:26:16,600 --> 00:26:19,360 Speaker 2: Certainly can't actually get anything useful out of it, hear. 429 00:26:19,240 --> 00:26:22,840 Speaker 1: This, Yeah, yeah, yeah. And that's it's similar to the 430 00:26:22,960 --> 00:26:28,120 Speaker 1: other approach, which is to just for the entire length 431 00:26:28,160 --> 00:26:33,480 Speaker 1: of the interview really flex your butt and like really 432 00:26:33,680 --> 00:26:37,119 Speaker 1: put some put some effort into it so that again 433 00:26:37,200 --> 00:26:40,840 Speaker 1: there's this strain that alters the baseline. 434 00:26:41,160 --> 00:26:41,359 Speaker 3: You know. 435 00:26:41,720 --> 00:26:45,280 Speaker 4: For Atlanta Monster, we had we interviewed a gentleman who 436 00:26:45,280 --> 00:26:47,720 Speaker 4: performed a polygraph on Wayne Williams. And one of the 437 00:26:47,720 --> 00:26:49,639 Speaker 4: things he said is there are sensors now in the 438 00:26:49,720 --> 00:26:52,720 Speaker 4: chairs to prevent that. Oh no, that very thing, so 439 00:26:52,880 --> 00:26:55,679 Speaker 4: you clenching anything like that. They do like a full 440 00:26:56,000 --> 00:26:59,159 Speaker 4: search now if they ever do these, not that polygraphs 441 00:26:59,200 --> 00:27:02,240 Speaker 4: are just you know, being used all over the place 442 00:27:02,280 --> 00:27:05,440 Speaker 4: in law enforcement. But they yeah, they that method was real. 443 00:27:05,560 --> 00:27:08,960 Speaker 1: So let's all get some thumb tacks or maybe not 444 00:27:09,080 --> 00:27:09,560 Speaker 1: kill people. 445 00:27:09,680 --> 00:27:12,159 Speaker 5: That's also the why it's laughable when someone accused of 446 00:27:12,480 --> 00:27:15,360 Speaker 5: sexual misconduct will come up, come out and say, but look, 447 00:27:15,400 --> 00:27:17,800 Speaker 5: I took a polygraph by my own, you know, I 448 00:27:18,520 --> 00:27:19,520 Speaker 5: volunteered to do it. 449 00:27:19,520 --> 00:27:20,240 Speaker 4: Here are the results. 450 00:27:20,320 --> 00:27:20,840 Speaker 1: Check it out. 451 00:27:21,240 --> 00:27:23,680 Speaker 2: It's like, dude, you just played yourself. 452 00:27:23,840 --> 00:27:26,199 Speaker 4: Yeah. Oh and just the one last thing with those polygraphs, 453 00:27:26,440 --> 00:27:30,280 Speaker 4: dwayn Williams. They performed three tests, so they run the 454 00:27:30,280 --> 00:27:33,040 Speaker 4: same questions three times and they don't look at one 455 00:27:33,119 --> 00:27:36,560 Speaker 4: individual test. They come like, look at how each question 456 00:27:36,800 --> 00:27:39,400 Speaker 4: changes each time you answer it? 457 00:27:39,600 --> 00:27:42,760 Speaker 1: Right, to build a more robust data set. Well, what 458 00:27:43,560 --> 00:27:48,040 Speaker 1: did this alleged beer man say during his polygraph? 459 00:27:48,080 --> 00:27:51,160 Speaker 4: Well, the authority said that during these tests, Revendra had 460 00:27:51,240 --> 00:27:56,160 Speaker 4: confessed to both being involved in twenty one criminal cases 461 00:27:56,800 --> 00:27:59,760 Speaker 4: and to committing fifteen. 462 00:27:59,359 --> 00:28:02,439 Speaker 2: Murders finger swishing. 463 00:28:02,600 --> 00:28:07,600 Speaker 4: Yeah, so involved in twenty one crimes, but you know, 464 00:28:08,119 --> 00:28:11,280 Speaker 4: committed fifteen murders according to the authorities. 465 00:28:12,600 --> 00:28:14,560 Speaker 2: That's a weird thing to admit. 466 00:28:14,960 --> 00:28:17,119 Speaker 1: It's a weird distinction to me too. It makes you 467 00:28:17,160 --> 00:28:18,760 Speaker 1: wonder if there was torture involved. 468 00:28:19,000 --> 00:28:21,320 Speaker 4: Well now, well here's the thing. Now, remember this is 469 00:28:22,359 --> 00:28:25,800 Speaker 4: you know, a report that came out right from sources. 470 00:28:26,440 --> 00:28:28,920 Speaker 4: Then of course he went to trial and he only 471 00:28:28,960 --> 00:28:32,800 Speaker 4: stood trial for three murders, so there was only enough 472 00:28:32,840 --> 00:28:35,080 Speaker 4: evidence to connect him with three of them. 473 00:28:35,320 --> 00:28:37,960 Speaker 1: And he was found guilty on one count of murder. 474 00:28:38,200 --> 00:28:42,600 Speaker 1: This led to him being sentenced to life imprisonment. However, 475 00:28:42,960 --> 00:28:46,600 Speaker 1: things changed in September of two thousand and nine when 476 00:28:46,640 --> 00:28:49,280 Speaker 1: the Bombay High Court made a ruling. 477 00:28:49,400 --> 00:28:50,640 Speaker 2: And what a ruling it was. 478 00:28:51,320 --> 00:28:55,760 Speaker 5: The Bombay High Court overruled in fact Revenger's conviction and 479 00:28:55,840 --> 00:29:00,800 Speaker 5: declared Cantrol not guilty of the murders. And so he 480 00:29:00,840 --> 00:29:03,520 Speaker 5: went on to open himself a little food truck fast 481 00:29:03,520 --> 00:29:06,680 Speaker 5: food stall, and he sold the rights to have his 482 00:29:06,720 --> 00:29:09,480 Speaker 5: story he adapted into a film, and as of now 483 00:29:09,680 --> 00:29:13,960 Speaker 5: he is a freeman and the beer Man murders remain unsolved. 484 00:29:14,440 --> 00:29:16,160 Speaker 1: Yeah, that was when I was doing the research. That 485 00:29:16,240 --> 00:29:19,200 Speaker 1: was my favorite part was the fast food stall and 486 00:29:19,240 --> 00:29:22,320 Speaker 1: the rights to the film adaptation. You can find an 487 00:29:22,320 --> 00:29:25,680 Speaker 1: interview where he talks about it. But he also says 488 00:29:26,040 --> 00:29:31,240 Speaker 1: that his reputation by and large is ruined because you know, 489 00:29:31,800 --> 00:29:35,720 Speaker 1: he was sentenced. He was convicted and sentenced, and after 490 00:29:35,760 --> 00:29:40,480 Speaker 1: a sentence like that is overturned, it doesn't mean that 491 00:29:40,560 --> 00:29:42,840 Speaker 1: the community forgets. 492 00:29:42,840 --> 00:29:45,480 Speaker 4: Yeah, and it's not like your picture wasn't all over 493 00:29:45,600 --> 00:29:49,200 Speaker 4: the media so people can recognize you. And the other 494 00:29:49,240 --> 00:29:52,800 Speaker 4: thing apparently he is now a usual suspect in Mumbai, 495 00:29:52,880 --> 00:29:55,800 Speaker 4: so anytime anyone dies, they'll go and find him and 496 00:29:55,840 --> 00:29:56,920 Speaker 4: bring him in for questioning. 497 00:29:57,080 --> 00:30:00,920 Speaker 1: Well, again to that point, he did confess to committing 498 00:30:01,360 --> 00:30:02,440 Speaker 1: fifteen murders. 499 00:30:02,520 --> 00:30:06,320 Speaker 4: That's right, and like according to somebody. 500 00:30:05,880 --> 00:30:08,680 Speaker 5: So okay, right, And you know, and like we said, 501 00:30:08,680 --> 00:30:11,400 Speaker 5: we don't know if these things were said under duress. 502 00:30:11,680 --> 00:30:12,640 Speaker 2: But you got a wonder too. 503 00:30:12,640 --> 00:30:15,000 Speaker 5: If you get a nickname like that, and that's your 504 00:30:15,080 --> 00:30:18,640 Speaker 5: claim to fame, whether in good taste or not. If 505 00:30:18,640 --> 00:30:20,920 Speaker 5: you've gone free, do you get to keep the nickname 506 00:30:21,360 --> 00:30:23,560 Speaker 5: like can you call your food truck the beer Man. 507 00:30:23,960 --> 00:30:25,440 Speaker 5: I'm sorry that's making a face. 508 00:30:25,720 --> 00:30:28,760 Speaker 4: It's just I don't I don't like the idea of 509 00:30:28,800 --> 00:30:32,280 Speaker 4: a potential serial killer opening a food truck based on 510 00:30:32,400 --> 00:30:35,120 Speaker 4: the name that was given to the serial killer by 511 00:30:35,120 --> 00:30:35,800 Speaker 4: the media. 512 00:30:35,880 --> 00:30:38,600 Speaker 1: Well, you will be happy to learn that most of 513 00:30:38,680 --> 00:30:43,040 Speaker 1: the serial killers who were committing acts accountabalism and a 514 00:30:43,080 --> 00:30:50,000 Speaker 1: feeding unsuspecting people human flesh. A lot of them have 515 00:30:50,080 --> 00:30:52,480 Speaker 1: been caught. Again, I can't make you feel one hundred 516 00:30:52,480 --> 00:30:55,400 Speaker 1: percent better because we only know the ones that got caught. 517 00:30:55,560 --> 00:30:57,160 Speaker 4: But the thing it helps them. 518 00:30:57,360 --> 00:31:00,280 Speaker 1: Hey, you know, I'm here for you, man. But the 519 00:31:00,400 --> 00:31:04,360 Speaker 1: interesting thing, the darkly fascinating thing about the power of 520 00:31:04,440 --> 00:31:07,560 Speaker 1: nicknames here is that there was a case in Egypt 521 00:31:07,720 --> 00:31:12,520 Speaker 1: with a serial killer who was known for heading a 522 00:31:12,600 --> 00:31:19,000 Speaker 1: gang on the train where they would abduct people, children 523 00:31:19,040 --> 00:31:21,560 Speaker 1: and other gang members, sexually assault them and kill them. 524 00:31:22,160 --> 00:31:27,360 Speaker 1: He got caught, he was executed, but afterwards people began 525 00:31:27,560 --> 00:31:33,440 Speaker 1: naming things after him, and his name caught on posthumously, 526 00:31:33,480 --> 00:31:36,840 Speaker 1: which is a troubling statement. But he's not in this 527 00:31:36,920 --> 00:31:38,840 Speaker 1: episode because he was definitely caught. 528 00:31:38,960 --> 00:31:40,800 Speaker 5: Okay, Well, Ben I, me and you had a conversation 529 00:31:40,920 --> 00:31:43,640 Speaker 5: off Mike about that Museum of Death that I went 530 00:31:43,680 --> 00:31:47,160 Speaker 5: to in la and the whole like the ethics of 531 00:31:47,960 --> 00:31:52,200 Speaker 5: making money off of your crimes if you are actually incarcerated, 532 00:31:52,360 --> 00:31:54,520 Speaker 5: whether you can sell let's say, like a work of 533 00:31:54,600 --> 00:31:56,840 Speaker 5: art like John Wayne Gacy. In this museum there were 534 00:31:56,880 --> 00:31:58,800 Speaker 5: a ton of John Wayne Gacy paintings that he had 535 00:31:58,840 --> 00:32:01,360 Speaker 5: done of him as a clown, you know, various things 536 00:32:01,400 --> 00:32:03,000 Speaker 5: like that, and there was even I can't remember the 537 00:32:03,040 --> 00:32:05,880 Speaker 5: guy's name now, but he was an absolute monster. But 538 00:32:05,960 --> 00:32:09,120 Speaker 5: he had this series of like these collages and these 539 00:32:09,160 --> 00:32:11,280 Speaker 5: like almost pop up books, and there was a notebook 540 00:32:11,320 --> 00:32:13,760 Speaker 5: of letters, and one of them was a dispute that 541 00:32:13,800 --> 00:32:16,480 Speaker 5: he had with an art dealer about how they owed 542 00:32:16,560 --> 00:32:19,520 Speaker 5: him money. And it was literally a correspondence between him 543 00:32:19,560 --> 00:32:21,520 Speaker 5: and this art dealer, and you can see the back 544 00:32:21,520 --> 00:32:24,280 Speaker 5: and forth. And I mentioned this to you Ben, and 545 00:32:24,560 --> 00:32:28,600 Speaker 5: the theory was, it's technically not legal, I guess, to 546 00:32:29,560 --> 00:32:34,640 Speaker 5: represent a known criminal like that for works that glory. 547 00:32:34,720 --> 00:32:36,640 Speaker 2: I don't know exactly what the laws are, but our 548 00:32:36,720 --> 00:32:37,360 Speaker 2: theory was. 549 00:32:37,280 --> 00:32:39,560 Speaker 5: That maybe they did it to get him in the door, 550 00:32:40,120 --> 00:32:42,040 Speaker 5: and then they were not they weren't going to pay 551 00:32:42,080 --> 00:32:43,680 Speaker 5: him because he doesn't really have a leg to stand. 552 00:32:43,760 --> 00:32:45,160 Speaker 2: Maybe that's what it was, that he didn't really have 553 00:32:45,200 --> 00:32:46,880 Speaker 2: a right to see them. 554 00:32:47,200 --> 00:32:50,800 Speaker 1: Yeah, due to the son of Sam law, which is 555 00:32:51,320 --> 00:32:55,400 Speaker 1: a kind of an umbrella term for laws designed to 556 00:32:55,480 --> 00:32:58,720 Speaker 1: keep not just serial killers, but any criminals from profiting 557 00:32:59,200 --> 00:33:03,760 Speaker 1: of the result of their crimes. So not just you know, 558 00:33:03,840 --> 00:33:08,440 Speaker 1: not just art for instance, but you can't sell the 559 00:33:08,560 --> 00:33:11,560 Speaker 1: rights to your life story or film. Like if Matt 560 00:33:11,600 --> 00:33:13,640 Speaker 1: and I apologize in dvance for using you as an 561 00:33:13,640 --> 00:33:16,280 Speaker 1: example here, we've just got a system and your name 562 00:33:16,320 --> 00:33:22,680 Speaker 1: came up. So if if Matt Frederick the give like 563 00:33:22,720 --> 00:33:24,360 Speaker 1: the worst example, what's well. 564 00:33:24,320 --> 00:33:27,040 Speaker 4: Let's say let's say Matt Frederick is in I don't know, 565 00:33:27,560 --> 00:33:33,640 Speaker 4: constant talks with a convicted serial killer and there are 566 00:33:33,680 --> 00:33:38,560 Speaker 4: talks of selling rights to a story, and then the 567 00:33:38,600 --> 00:33:42,000 Speaker 4: Georgia Department of Corrections finds out and then you have 568 00:33:42,080 --> 00:33:44,000 Speaker 4: to go through the motions. 569 00:33:45,560 --> 00:33:50,000 Speaker 1: Right, let's just say hypathetically that happens. Well, the first 570 00:33:50,520 --> 00:33:52,720 Speaker 1: the first law that will qualify his son of Sam 571 00:33:52,800 --> 00:33:57,719 Speaker 1: law was created New York after David Berkowitz because there 572 00:33:57,760 --> 00:34:00,880 Speaker 1: were all these rumors that publishers and movies studios, we're 573 00:34:00,880 --> 00:34:05,640 Speaker 1: offering a lot of money to him directly, which is paying. 574 00:34:05,920 --> 00:34:08,959 Speaker 1: If you think about it, it's not that far away 575 00:34:08,960 --> 00:34:12,960 Speaker 1: from paying someone to kill people. That's essentially what it is. 576 00:34:13,680 --> 00:34:17,560 Speaker 1: So yes, Noel is absolutely right. That is a debate 577 00:34:17,600 --> 00:34:21,440 Speaker 1: that continues today because then the other question would be, well, 578 00:34:21,560 --> 00:34:26,279 Speaker 1: is it as bad if we buy the rights to this? 579 00:34:26,880 --> 00:34:30,040 Speaker 1: But the money legally is required to go to a 580 00:34:30,160 --> 00:34:33,239 Speaker 1: fund for the surviving family members or something. 581 00:34:33,160 --> 00:34:36,560 Speaker 4: That's exactly That's exactly how it's handled nowadays, goes to 582 00:34:36,560 --> 00:34:38,400 Speaker 4: a fund for the victims' families. 583 00:34:38,160 --> 00:34:43,560 Speaker 1: But it doesn't bring anyone back and earlier, so now 584 00:34:43,719 --> 00:34:49,160 Speaker 1: we have no we as in the human species, don't 585 00:34:49,160 --> 00:34:53,480 Speaker 1: have any public clues for the beer Man murders. We 586 00:34:53,680 --> 00:34:57,960 Speaker 1: do have other cases, and they're not just in India, 587 00:34:58,080 --> 00:35:01,360 Speaker 1: they're not just in the United States. We will travel 588 00:35:01,400 --> 00:35:03,359 Speaker 1: to a very different part of the world for our 589 00:35:03,360 --> 00:35:14,880 Speaker 1: next example, after a word from our sponsors Johannesburg, South Africa. 590 00:35:15,120 --> 00:35:19,279 Speaker 1: Beginning so far as we officially know, in twenty ten, 591 00:35:20,600 --> 00:35:25,320 Speaker 1: an unknown individual or group of killers was meeting gay 592 00:35:25,360 --> 00:35:29,920 Speaker 1: men online and forums, gaining their trust, traveling to their 593 00:35:29,920 --> 00:35:35,920 Speaker 1: homes and brutally murdering them. At this point, you know, 594 00:35:35,960 --> 00:35:38,520 Speaker 1: earlier in our beer Man example, we were able to 595 00:35:38,560 --> 00:35:40,920 Speaker 1: say for a certain span of years, but at this 596 00:35:41,120 --> 00:35:45,520 Speaker 1: point the years just ending question marks. We don't know 597 00:35:45,560 --> 00:35:50,040 Speaker 1: when or if this stopped, because for years law enforcement 598 00:35:50,200 --> 00:35:53,160 Speaker 1: would not identify the murders as linked, nor did they 599 00:35:53,280 --> 00:35:56,800 Speaker 1: publicly describe this as the action of a serial killer. 600 00:35:56,840 --> 00:36:01,200 Speaker 1: And this led community activists in in the area in 601 00:36:01,280 --> 00:36:05,520 Speaker 1: Johannesburg to say that the police were slow to investigate 602 00:36:06,040 --> 00:36:10,560 Speaker 1: due to rampant homophobia in South Africa, so slow in fact, 603 00:36:10,600 --> 00:36:14,680 Speaker 1: that they were actively just not caring or prioritizing these 604 00:36:14,760 --> 00:36:15,440 Speaker 1: violent crimes. 605 00:36:15,560 --> 00:36:19,120 Speaker 4: Yeah, and that sentiment is echoed by Dowie Nell, the 606 00:36:19,200 --> 00:36:22,200 Speaker 4: director of Out, who says that police were sluggish the 607 00:36:22,200 --> 00:36:24,680 Speaker 4: same thing. Police were sluggish in their investigation because of 608 00:36:24,719 --> 00:36:28,240 Speaker 4: the sexuality of the victims, and as each murder becomes 609 00:36:29,239 --> 00:36:31,920 Speaker 4: or became known to the media, Nell would call police 610 00:36:31,960 --> 00:36:34,000 Speaker 4: to step up their investigations. Hey, come on, you guys, 611 00:36:34,040 --> 00:36:36,200 Speaker 4: get on this. This is happening. This is very real. 612 00:36:36,680 --> 00:36:40,000 Speaker 4: But apparently it just didn't do any good. And we 613 00:36:40,040 --> 00:36:43,719 Speaker 4: have a quote from Dowie. 614 00:36:42,760 --> 00:36:45,160 Speaker 1: Up to this point there have only been three arrests. 615 00:36:45,160 --> 00:36:47,680 Speaker 1: In one of the cases. We call on the police 616 00:36:47,719 --> 00:36:51,239 Speaker 1: to please take this seriously and increase the urgency of 617 00:36:51,280 --> 00:36:55,840 Speaker 1: their investigation to insure justice for the victims and their families. 618 00:36:56,480 --> 00:36:58,560 Speaker 5: And the police went on to state that they believe 619 00:36:58,760 --> 00:37:05,160 Speaker 5: that there may be a gang of homophobic murderers targeting men, 620 00:37:06,320 --> 00:37:10,040 Speaker 5: with the last reports as recently as twenty thirteen alleging 621 00:37:10,120 --> 00:37:13,600 Speaker 5: that the killer or killers may have actually relocated to 622 00:37:13,719 --> 00:37:15,560 Speaker 5: Cape Town, South Africa. 623 00:37:16,120 --> 00:37:21,520 Speaker 1: Which is strange. Isn't it that they moved from Johannesburg 624 00:37:21,680 --> 00:37:25,799 Speaker 1: to Cape Town? If they are indeed related and in 625 00:37:25,840 --> 00:37:32,839 Speaker 1: this instance, questions remain, we would be we'd be very 626 00:37:32,880 --> 00:37:36,520 Speaker 1: interested in hearing your take on this if you lived 627 00:37:36,600 --> 00:37:42,520 Speaker 1: in Cape Town or in Johannesburg during this time especially, 628 00:37:42,560 --> 00:37:47,319 Speaker 1: We'd like to know if the local community believes these 629 00:37:47,360 --> 00:37:50,360 Speaker 1: are ongoing or if this was a spate of things 630 00:37:50,360 --> 00:37:55,360 Speaker 1: that were considered to have some definitive span of time 631 00:37:55,600 --> 00:38:02,799 Speaker 1: and just remain unsolved. Again, the critics, LGBTQ activist and 632 00:38:03,000 --> 00:38:08,040 Speaker 1: more say that the South African police forces are simply 633 00:38:08,120 --> 00:38:12,759 Speaker 1: not prioritizing these murders due to the fact that it 634 00:38:12,800 --> 00:38:17,279 Speaker 1: afflicts a stigmatized section of the population and when we 635 00:38:17,360 --> 00:38:20,560 Speaker 1: go when we talk about this kind of cultural prejudice. 636 00:38:21,080 --> 00:38:26,839 Speaker 1: It's deceptively easy to say, oh, that happens in another culture, right, 637 00:38:27,480 --> 00:38:31,880 Speaker 1: Homophobia is so rampant in insert city or insert country 638 00:38:31,920 --> 00:38:36,680 Speaker 1: here that it is an unfortunate fact of the matter. 639 00:38:37,000 --> 00:38:40,719 Speaker 1: And it surely wouldn't be the case in I don't know, 640 00:38:41,160 --> 00:38:45,879 Speaker 1: a country like Canada or Western Europe or the United States. Wait. 641 00:38:46,920 --> 00:38:49,240 Speaker 1: Example number three, The Doodler. 642 00:38:49,640 --> 00:38:52,439 Speaker 5: Yeah, this one's tough. From nineteen seventy four to nineteen 643 00:38:52,480 --> 00:38:55,759 Speaker 5: seventy five, a man known only as the Doodler killed 644 00:38:55,800 --> 00:38:59,600 Speaker 5: up to fourteen gay men in San Francisco. He got 645 00:38:59,640 --> 00:39:03,239 Speaker 5: this aim because he would meet his victims at gay 646 00:39:03,280 --> 00:39:09,520 Speaker 5: bars and sketch their portraits before taking them to a location, 647 00:39:09,719 --> 00:39:12,520 Speaker 5: having sex with them, and then stabbing them to death. 648 00:39:14,719 --> 00:39:19,160 Speaker 4: Yeah, and they'll mention that he would draw portraits, paintings, 649 00:39:19,560 --> 00:39:21,919 Speaker 4: just drawings of his victims. None of these were ever 650 00:39:22,000 --> 00:39:24,919 Speaker 4: released to the press. And although it's believed he killed 651 00:39:24,960 --> 00:39:28,040 Speaker 4: fourteen people, it's much more likely that he took around 652 00:39:28,080 --> 00:39:28,920 Speaker 4: five victims. 653 00:39:29,160 --> 00:39:32,839 Speaker 1: Yeah, and that can sound confusing. What that means is 654 00:39:32,960 --> 00:39:40,839 Speaker 1: that up to fourteen people in similar circumstances disappeared or 655 00:39:41,360 --> 00:39:47,240 Speaker 1: met a violent end around that time. But the investigation 656 00:39:47,520 --> 00:39:52,680 Speaker 1: as it stands, the traces only five specifically to him, 657 00:39:53,520 --> 00:39:58,880 Speaker 1: usually the eyewitness accounts right and months after his last 658 00:39:58,960 --> 00:40:03,799 Speaker 1: killing in seventy five, the San Francisco Police Department did 659 00:40:03,880 --> 00:40:06,160 Speaker 1: release one sketch related to the Doodler. It was not 660 00:40:06,200 --> 00:40:08,360 Speaker 1: a sketch he made of his victims. It was a 661 00:40:08,400 --> 00:40:12,399 Speaker 1: sketch law enforcement it made based on descriptions of the suspects. 662 00:40:13,000 --> 00:40:16,200 Speaker 1: He was a black man in his early twenties, around 663 00:40:16,239 --> 00:40:19,880 Speaker 1: six feet tall, with a slim build, and according to 664 00:40:19,960 --> 00:40:24,439 Speaker 1: one witness, he described himself as someone studying commercial art. 665 00:40:25,640 --> 00:40:29,080 Speaker 1: And one of the big questions that pops up in 666 00:40:29,160 --> 00:40:32,200 Speaker 1: our minds when we look at this is why haven't 667 00:40:32,239 --> 00:40:36,080 Speaker 1: we heard of this? You know, why is this murder, 668 00:40:36,680 --> 00:40:40,200 Speaker 1: this series of murders in a very well known part 669 00:40:40,239 --> 00:40:43,960 Speaker 1: of the United States. Why is it so unknown today? 670 00:40:44,360 --> 00:40:46,680 Speaker 1: And in the great span of history. Nineteen seventy four 671 00:40:46,760 --> 00:40:50,000 Speaker 1: nineteen seventy five was not that long ago. Many people 672 00:40:50,040 --> 00:40:54,359 Speaker 1: listening to the show now were alive. Then here's part 673 00:40:54,400 --> 00:40:58,880 Speaker 1: of why this may have been brushed aside. The murders 674 00:40:58,920 --> 00:41:01,600 Speaker 1: took place around this same time as the notorious and 675 00:41:01,760 --> 00:41:06,960 Speaker 1: likewise unsolved Zodiac murders, and as in the case with 676 00:41:07,000 --> 00:41:10,600 Speaker 1: the Johannesburg murders, it seems that part of the official 677 00:41:10,840 --> 00:41:17,120 Speaker 1: disregard and part of the legal obstacle course facing any 678 00:41:17,360 --> 00:41:22,760 Speaker 1: pursuit of this criminal can be traced directly back to homophobia. 679 00:41:22,840 --> 00:41:25,000 Speaker 1: In fact, the killer could have been caught. 680 00:41:24,960 --> 00:41:28,040 Speaker 4: Yes, because he left. There were some surviving victims of 681 00:41:28,080 --> 00:41:30,960 Speaker 4: the doodler who were actually prominent people that could have 682 00:41:31,000 --> 00:41:34,400 Speaker 4: gone to the police and said who they were. But 683 00:41:34,520 --> 00:41:37,120 Speaker 4: there's a problem in doing that. You're going to out 684 00:41:37,160 --> 00:41:41,759 Speaker 4: yourself to everyone if you admit to being a part 685 00:41:41,800 --> 00:41:42,000 Speaker 4: of this. 686 00:41:42,520 --> 00:41:42,759 Speaker 1: Right. 687 00:41:43,239 --> 00:41:45,800 Speaker 5: Harvey Milk, who is a well known politician and activists 688 00:41:45,800 --> 00:41:48,120 Speaker 5: in San Francisco, also a game man himself. 689 00:41:48,680 --> 00:41:50,880 Speaker 2: He said this to the Associated. 690 00:41:50,400 --> 00:41:54,279 Speaker 5: Press regarding his understanding of people's position in this case, said, 691 00:41:54,320 --> 00:41:57,080 Speaker 5: I respect the pressure society is put on them. He 692 00:41:57,239 --> 00:42:00,719 Speaker 5: estimated eighty five thousand homosexuals lived in San Francisco, and 693 00:42:00,760 --> 00:42:02,520 Speaker 5: he said that of that number, a good twenty to 694 00:42:02,560 --> 00:42:04,240 Speaker 5: twenty five percent are in the closet. 695 00:42:04,880 --> 00:42:10,640 Speaker 1: And Milk's estimation proved to have some sand because the 696 00:42:10,680 --> 00:42:17,359 Speaker 1: police questions survivors, including a quote well known entertainer, a 697 00:42:17,440 --> 00:42:21,360 Speaker 1: diplomat from Europe, as as Matt had said prominent people, 698 00:42:21,880 --> 00:42:26,200 Speaker 1: and for a year. For a year, the police were 699 00:42:26,280 --> 00:42:30,359 Speaker 1: questioning a suspect that they believed was the doodler right, 700 00:42:31,000 --> 00:42:33,560 Speaker 1: but he did not admit guilt, and none of the 701 00:42:33,600 --> 00:42:38,000 Speaker 1: survivors to the earlier point were willing to testify. And 702 00:42:38,120 --> 00:42:40,719 Speaker 1: this meant that there was no way to charge him. 703 00:42:40,719 --> 00:42:45,120 Speaker 1: There wasn't any smoking gun evidence. He was not you know, 704 00:42:45,239 --> 00:42:48,200 Speaker 1: he was not physically linked to this stuff. And the 705 00:42:48,239 --> 00:42:51,919 Speaker 1: most important piece of the evidence. The survivors who could 706 00:42:52,000 --> 00:42:54,279 Speaker 1: point at the guy in court and say, yes, that's 707 00:42:54,320 --> 00:42:56,720 Speaker 1: the man who tried to kill me, were not willing 708 00:42:56,840 --> 00:43:01,960 Speaker 1: to you know, having already risked their lives by surviving 709 00:43:02,000 --> 00:43:05,120 Speaker 1: this ordeal, they were not willing to risk their lives 710 00:43:05,200 --> 00:43:11,279 Speaker 1: again given the social stigmas of the time. And you 711 00:43:11,560 --> 00:43:17,360 Speaker 1: can ask the San Francisco Police Department about these cases, 712 00:43:18,280 --> 00:43:23,600 Speaker 1: they will give you the same response they gave journalists, 713 00:43:23,640 --> 00:43:24,120 Speaker 1: which is. 714 00:43:24,719 --> 00:43:29,600 Speaker 4: We don't discuss open investigations. See that's fascinating that it's 715 00:43:30,760 --> 00:43:34,600 Speaker 4: it's still an open investigation somehow. And I wonder what 716 00:43:34,760 --> 00:43:38,960 Speaker 4: methods there could be to attain some of some of 717 00:43:38,960 --> 00:43:41,840 Speaker 4: those records, because it's been since nineteen seventy four or 718 00:43:41,840 --> 00:43:46,080 Speaker 4: seventy five. I don't know. I'm gonna look. I'm really seriously, 719 00:43:46,080 --> 00:43:46,800 Speaker 4: I'm gonna look into that. 720 00:43:46,800 --> 00:43:47,880 Speaker 5: I mean, I feel like it's one of those things 721 00:43:47,920 --> 00:43:50,000 Speaker 5: where when a case is that old and that cold, 722 00:43:50,640 --> 00:43:51,680 Speaker 5: the only break you're. 723 00:43:51,560 --> 00:43:53,120 Speaker 2: Gonna get is someone running their mouth. 724 00:43:53,560 --> 00:43:55,560 Speaker 5: Yeah, you know, talking out of school in a bar 725 00:43:55,640 --> 00:43:58,080 Speaker 5: that someone happens to overhear and then make a complaint 726 00:43:58,080 --> 00:44:00,680 Speaker 5: and the next thing you know, you're in Buffalo Bills Dungeon, you. 727 00:44:00,600 --> 00:44:01,040 Speaker 3: Know what I mean. 728 00:44:01,520 --> 00:44:04,160 Speaker 5: Like that really does feel like like a short of 729 00:44:04,480 --> 00:44:07,440 Speaker 5: you know, they call them cold cases, but they definitely 730 00:44:07,520 --> 00:44:10,480 Speaker 5: get trundled off to the back to relegate it to 731 00:44:10,520 --> 00:44:12,600 Speaker 5: the filing cabinets, you know. I mean, people are not 732 00:44:12,680 --> 00:44:15,520 Speaker 5: actively working these cases, and they don't have the resources 733 00:44:15,560 --> 00:44:16,120 Speaker 5: to do it right. 734 00:44:16,880 --> 00:44:20,040 Speaker 1: And especially in a time where news cycles move so 735 00:44:20,160 --> 00:44:24,560 Speaker 1: quickly and news becomes so ephemeral, it's easy for these 736 00:44:24,640 --> 00:44:29,600 Speaker 1: things to be forgotten. I like your point about somebody 737 00:44:29,640 --> 00:44:32,920 Speaker 1: having to speak out of turn to release this kind 738 00:44:32,960 --> 00:44:36,279 Speaker 1: of information that would be held up because you know, 739 00:44:36,360 --> 00:44:40,560 Speaker 1: the reality is that murder cases, the national average is 740 00:44:40,600 --> 00:44:45,080 Speaker 1: around a sixty somethingter percent clearance rate, which means that 741 00:44:46,200 --> 00:44:49,040 Speaker 1: clearing a case means that it has been explained it 742 00:44:49,080 --> 00:44:51,759 Speaker 1: was a spected murder. They either explained what happened or 743 00:44:51,800 --> 00:44:55,480 Speaker 1: they found the person responsible or the people responsible. So 744 00:44:55,800 --> 00:45:01,360 Speaker 1: with that, with that little less than forty percent unclosed 745 00:45:01,480 --> 00:45:05,799 Speaker 1: uncleared case ratio, we know this kind of stuff happens. 746 00:45:05,920 --> 00:45:10,160 Speaker 1: And in the course of our exploration today of uncaught 747 00:45:10,200 --> 00:45:14,839 Speaker 1: serial killers, we found what we'd like to call a 748 00:45:15,040 --> 00:45:21,040 Speaker 1: dishonorable mention, and it involves a case that may well 749 00:45:21,880 --> 00:45:25,719 Speaker 1: encompass multiple assailants. It is the case that may be 750 00:45:25,840 --> 00:45:29,560 Speaker 1: familiar to some true detective fans, known as the jeff 751 00:45:29,719 --> 00:45:30,560 Speaker 1: Davis Eight. 752 00:45:31,320 --> 00:45:33,960 Speaker 4: Yes, between two thousand and five and two thousand and nine, 753 00:45:34,040 --> 00:45:36,880 Speaker 4: there were eight women from the town of Jennings, Louisiana, 754 00:45:37,680 --> 00:45:41,360 Speaker 4: is in the Jefferson Davis Parish. They were murdered and 755 00:45:41,440 --> 00:45:45,239 Speaker 4: their bodies were dumped in ponds and canals in the area. 756 00:45:45,280 --> 00:45:49,760 Speaker 4: And these victims died of various causes. Some had appeared 757 00:45:49,800 --> 00:45:53,600 Speaker 4: to have been asphyxiated. Two of the women had their throats. 758 00:45:53,200 --> 00:45:57,719 Speaker 1: Slashed, one in a truck that was available to law 759 00:45:57,800 --> 00:45:59,880 Speaker 1: enforcement covered in her blood. 760 00:46:00,160 --> 00:46:03,759 Speaker 4: Hmm. But the means of death aside the women of 761 00:46:03,760 --> 00:46:07,160 Speaker 4: the jeff Davis eight had plenty in common. All of 762 00:46:07,200 --> 00:46:10,400 Speaker 4: them were from South Jennings, the poor side of town, 763 00:46:10,719 --> 00:46:12,080 Speaker 4: and they knew each other. 764 00:46:12,560 --> 00:46:15,800 Speaker 5: And they were all living in poverty and had criminal 765 00:46:15,840 --> 00:46:21,080 Speaker 5: records full of drug abuse and petty crimes, and they 766 00:46:21,120 --> 00:46:24,879 Speaker 5: often supported their drug habits with sex work. 767 00:46:25,600 --> 00:46:27,400 Speaker 4: Yeah, this sounds very familiar. 768 00:46:28,080 --> 00:46:31,280 Speaker 1: An author named Ethan Brown investigated this for a number 769 00:46:31,360 --> 00:46:33,720 Speaker 1: of years. He wrote a book about it called Murder 770 00:46:33,719 --> 00:46:38,840 Speaker 1: in the Bayou, and he also noted that all eight 771 00:46:39,040 --> 00:46:43,080 Speaker 1: of the victims there in Jefferson Davis Parish were informants 772 00:46:43,080 --> 00:46:47,080 Speaker 1: for local law enforcement about the drug sales in the 773 00:46:47,160 --> 00:46:51,640 Speaker 1: drug trade there in Jennings, which is a very small town. Originally, 774 00:46:52,080 --> 00:46:57,400 Speaker 1: investigators believed this was a single deranged serial killer. However, Brown, 775 00:46:57,680 --> 00:47:01,160 Speaker 1: who was a New Orleans based PI, when he first 776 00:47:01,200 --> 00:47:04,879 Speaker 1: heard of the murders in two thy ten, he thought 777 00:47:04,880 --> 00:47:06,880 Speaker 1: there was something else to the story, and he was 778 00:47:06,920 --> 00:47:10,680 Speaker 1: astonished that the police claimed they had no leads. To Brown, 779 00:47:10,719 --> 00:47:12,879 Speaker 1: this sounded strange in a town that had around ten 780 00:47:12,920 --> 00:47:17,239 Speaker 1: thousand people, and he visited the side himself over the 781 00:47:17,280 --> 00:47:20,560 Speaker 1: next few years, connecting one dot after another. Here's some 782 00:47:20,600 --> 00:47:22,880 Speaker 1: of the things he found. He found that all the 783 00:47:22,960 --> 00:47:25,919 Speaker 1: victims had at some point stayed in the Bourdeau Inn, 784 00:47:26,280 --> 00:47:29,000 Speaker 1: and this was a motel which is closed now, where 785 00:47:29,040 --> 00:47:32,080 Speaker 1: the town's drug dealers and sex workers would get together 786 00:47:32,239 --> 00:47:35,719 Speaker 1: to get high and to have their clients over. He 787 00:47:35,760 --> 00:47:41,080 Speaker 1: also found that officers of the parish slept with some 788 00:47:41,160 --> 00:47:43,960 Speaker 1: of the women who later became victims. 789 00:47:44,560 --> 00:47:48,600 Speaker 2: So this is some kind of like kinky police murder ring. 790 00:47:49,040 --> 00:47:53,280 Speaker 1: Well, Brown, to his credit, just connects dots and doesn't 791 00:47:53,360 --> 00:47:55,520 Speaker 1: draw He's trying to be very journalistic about it, so 792 00:47:55,560 --> 00:47:59,680 Speaker 1: he's not drawing hard conclusions. But I agree with you, 793 00:48:00,080 --> 00:48:03,960 Speaker 1: does seem to be the case. He also found pretty 794 00:48:04,000 --> 00:48:09,520 Speaker 1: compelling proof that evidence in these eight murder cases had 795 00:48:09,520 --> 00:48:12,720 Speaker 1: been tampered with or was removed from the parish entirely. 796 00:48:12,719 --> 00:48:15,560 Speaker 1: And one of the big things that went missing was 797 00:48:15,600 --> 00:48:18,720 Speaker 1: that truck where the one victim atter a throat slashed. 798 00:48:19,280 --> 00:48:22,440 Speaker 1: You would think that a truck that was a essentially 799 00:48:22,600 --> 00:48:29,759 Speaker 1: rolling crime scene wouldn't disappear in that way. So additionally, 800 00:48:30,239 --> 00:48:33,400 Speaker 1: prison nurse and a sergeant voiced concerns about this. They 801 00:48:33,440 --> 00:48:36,280 Speaker 1: said they thought there was something rotten in the parish 802 00:48:36,440 --> 00:48:40,600 Speaker 1: and they were fired. Several women who provided information about 803 00:48:40,600 --> 00:48:45,800 Speaker 1: the initial murders later became victims themselves, leading Ethan Brown, 804 00:48:46,840 --> 00:48:50,239 Speaker 1: like Nol to believe that there wasn't so much a 805 00:48:50,360 --> 00:48:53,279 Speaker 1: serial killer active here as there was a cover up 806 00:48:53,360 --> 00:48:56,480 Speaker 1: that was in some way directly connected to the sheriff's office. 807 00:48:57,040 --> 00:49:01,640 Speaker 4: And here's where it gets even crazy. In twenty fourteen, 808 00:49:01,760 --> 00:49:05,000 Speaker 4: Brown discovered that the Boudreau Inn was owned by Louisiana 809 00:49:05,080 --> 00:49:10,360 Speaker 4: congressman named Charles Bustini. And this gentleman had himself slept 810 00:49:10,360 --> 00:49:12,800 Speaker 4: with at least three of the murder victims. 811 00:49:13,040 --> 00:49:16,640 Speaker 2: So here's my question. Are they murdering them to keep 812 00:49:16,680 --> 00:49:17,440 Speaker 2: them quiet? 813 00:49:17,960 --> 00:49:21,480 Speaker 5: Or is the murder like the kink that's being exploited here. 814 00:49:21,600 --> 00:49:23,799 Speaker 2: It's like sex isn't enough. 815 00:49:24,440 --> 00:49:29,160 Speaker 5: These powerful men like want to take lives, you know, 816 00:49:29,280 --> 00:49:29,800 Speaker 5: for sport. 817 00:49:30,040 --> 00:49:34,560 Speaker 4: Well that's if he was actually involved. I'm just throwing 818 00:49:34,600 --> 00:49:35,080 Speaker 4: it out there. 819 00:49:35,120 --> 00:49:38,480 Speaker 1: It's a good question, yeah, because we see So we 820 00:49:38,560 --> 00:49:42,319 Speaker 1: can sketch this out in a little bit more detail here, 821 00:49:42,560 --> 00:49:47,680 Speaker 1: which you can find in Ethan Brown's book. He connected 822 00:49:47,719 --> 00:49:51,759 Speaker 1: the ownership of the inn in the following manner. A 823 00:49:51,800 --> 00:49:55,960 Speaker 1: guy was a fixer and a representative for the congressman 824 00:49:56,440 --> 00:50:01,879 Speaker 1: had the hotel purchase under an entity that controlled this 825 00:50:02,160 --> 00:50:06,120 Speaker 1: enabled the congressman's office to say, oh, we had no 826 00:50:06,280 --> 00:50:08,520 Speaker 1: knowledge that you owned, that we had no stake in this. 827 00:50:08,880 --> 00:50:13,920 Speaker 1: Any allegations or grow to me are completely unfounded, completely untrue. 828 00:50:14,120 --> 00:50:16,640 Speaker 1: What happened to these women that I again have never met, 829 00:50:16,960 --> 00:50:21,600 Speaker 1: is a tragedy, and anyone living in town that you 830 00:50:21,680 --> 00:50:23,480 Speaker 1: want to ask will tell you that I have not 831 00:50:23,600 --> 00:50:27,279 Speaker 1: been with these people. Again. To rewind that a bit, 832 00:50:27,760 --> 00:50:32,200 Speaker 1: anyone living in town can tell you I was not involved. 833 00:50:33,160 --> 00:50:36,720 Speaker 1: Brown also found that law enforcement's own witnesses to the murders, 834 00:50:36,760 --> 00:50:40,239 Speaker 1: the ones who weren't later killed, believe that members of 835 00:50:40,280 --> 00:50:43,839 Speaker 1: the police force themselves are either directly responsible or know 836 00:50:43,960 --> 00:50:48,919 Speaker 1: who is and aren't saying anything. As of today's episode, 837 00:50:49,040 --> 00:50:52,720 Speaker 1: the murders remain, like the murders in our earlier cases, 838 00:50:52,920 --> 00:50:54,279 Speaker 1: officially unsolved. 839 00:50:54,480 --> 00:50:58,080 Speaker 5: You mentioned True Detective before this one is the story 840 00:50:58,600 --> 00:51:00,800 Speaker 5: was the basis for some of the rights of that season, 841 00:51:00,840 --> 00:51:02,400 Speaker 5: like the good season True Detectives. 842 00:51:02,880 --> 00:51:05,880 Speaker 1: Well, you know, it's It's interesting because a lot of people, 843 00:51:06,000 --> 00:51:11,200 Speaker 1: both fans of True Detective and people who would witness 844 00:51:11,400 --> 00:51:15,560 Speaker 1: this dark story unfolding, felt that, uh, what's his name, 845 00:51:15,640 --> 00:51:21,520 Speaker 1: Nick Pisoloato. They believe that he had taken inspiration from this. 846 00:51:21,840 --> 00:51:24,640 Speaker 1: For his part, he says that he was not aware 847 00:51:24,840 --> 00:51:28,319 Speaker 1: of these murders even though he was located in the 848 00:51:28,400 --> 00:51:28,920 Speaker 1: rough area. 849 00:51:29,080 --> 00:51:32,560 Speaker 2: He got danged for ripping off some other source material too. 850 00:51:33,040 --> 00:51:34,800 Speaker 1: I believe Yellow King, right, well. 851 00:51:34,640 --> 00:51:37,640 Speaker 5: Nothing, The Yellow King was definitely referenced like as a 852 00:51:37,640 --> 00:51:41,120 Speaker 5: work of fiction in the in the plot line. But 853 00:51:41,160 --> 00:51:44,280 Speaker 5: I think there was another like a philosopher or something 854 00:51:44,360 --> 00:51:46,799 Speaker 5: who he kind of stole from verbatim in some of 855 00:51:46,800 --> 00:51:51,279 Speaker 5: the things that Cole, the Matthew McConaughey character said. It 856 00:51:51,360 --> 00:51:53,000 Speaker 5: was a thing that came out in an article right 857 00:51:53,040 --> 00:51:55,480 Speaker 5: when that was really hot, and I remember it was 858 00:51:55,520 --> 00:51:57,360 Speaker 5: not particularly flattering. 859 00:51:57,400 --> 00:52:01,680 Speaker 1: Right, Yes, I remember that Thomas Legaudi, Yes, Thomas Leggatti 860 00:52:02,320 --> 00:52:06,880 Speaker 1: a very dark philosophical horror writer as well. Yeah, I 861 00:52:06,920 --> 00:52:10,080 Speaker 1: remember when we were talking about the article off air 862 00:52:10,280 --> 00:52:13,960 Speaker 1: because we all we all stopped work because there was 863 00:52:14,000 --> 00:52:16,440 Speaker 1: such true detective nuts that we had to we had 864 00:52:16,440 --> 00:52:18,160 Speaker 1: to convene an emergency summit. 865 00:52:18,400 --> 00:52:20,400 Speaker 2: No, no, not Nick. 866 00:52:20,520 --> 00:52:24,359 Speaker 1: But yeah, for that part. And I think it is 867 00:52:24,400 --> 00:52:29,000 Speaker 1: important to mention that this was not the only accusation 868 00:52:29,480 --> 00:52:35,120 Speaker 1: of this author taking ideas from other people. But for 869 00:52:35,200 --> 00:52:38,480 Speaker 1: this part, the author says that he was unaware of 870 00:52:38,520 --> 00:52:45,720 Speaker 1: this uh, and the connections to Ethan Brown's articles were 871 00:52:46,200 --> 00:52:51,840 Speaker 1: somewhat coincidental or entirely coincidental, would be Pisilado's argument. But 872 00:52:52,880 --> 00:52:59,080 Speaker 1: regardless of what inspirational fount he drank from, it remains 873 00:52:59,120 --> 00:53:02,000 Speaker 1: the case that these these murders are unsolved. The beer 874 00:53:02,080 --> 00:53:06,400 Speaker 1: Man murders are. I guess now they're officially unsolved since 875 00:53:06,520 --> 00:53:09,200 Speaker 1: the one case got turned over. 876 00:53:09,360 --> 00:53:11,319 Speaker 5: Yeah, I get they let that guy sell the rights 877 00:53:11,320 --> 00:53:13,840 Speaker 5: to his story and open a food truck, so they 878 00:53:13,920 --> 00:53:15,800 Speaker 5: must be on to the next thing. But I couldn't 879 00:53:15,800 --> 00:53:19,480 Speaker 5: find anything more recent than just that guy walking. 880 00:53:19,320 --> 00:53:21,880 Speaker 2: So I guess they're back to the grindstone. 881 00:53:22,280 --> 00:53:25,839 Speaker 1: And in several of the cases outlined above, it is 882 00:53:26,040 --> 00:53:29,000 Speaker 1: almost entirely certain that the killer why they're never be 883 00:53:29,120 --> 00:53:34,000 Speaker 1: caught or never be convicted in court. It's true that 884 00:53:34,040 --> 00:53:36,839 Speaker 1: there are additional cases wherein a killer is revealed after 885 00:53:36,920 --> 00:53:40,239 Speaker 1: their death or while confessing on their deathbed. But going 886 00:53:40,239 --> 00:53:46,240 Speaker 1: to our earlier point about people falsely confessing to things, 887 00:53:46,560 --> 00:53:51,960 Speaker 1: there's also this troubling phenomenon wherein someone, perhaps due to 888 00:53:52,920 --> 00:53:57,480 Speaker 1: the dementia of age or to some other desire right, 889 00:53:58,000 --> 00:54:02,240 Speaker 1: some condition or desire, they will false confess to something 890 00:54:02,280 --> 00:54:07,000 Speaker 1: they never did, and them people say, well, maybe they 891 00:54:07,040 --> 00:54:10,359 Speaker 1: were this uncaught person. But in this case, in these 892 00:54:10,440 --> 00:54:13,359 Speaker 1: cases rather the murderers listed in this episode have not 893 00:54:13,400 --> 00:54:17,480 Speaker 1: been caught. Several of them walk free as we record this. 894 00:54:18,160 --> 00:54:21,680 Speaker 1: I don't know if we should add a moral to this. 895 00:54:21,760 --> 00:54:24,200 Speaker 1: I don't know if there is one. I think maybe 896 00:54:24,320 --> 00:54:27,960 Speaker 1: instead we add a call for your help, both on 897 00:54:28,080 --> 00:54:33,360 Speaker 1: behalf of the survivors and behalf of your fellow listeners, 898 00:54:33,480 --> 00:54:37,239 Speaker 1: and on our behalf as well. Do you live near 899 00:54:37,320 --> 00:54:40,719 Speaker 1: any of these areas where you alive while these crimes 900 00:54:41,080 --> 00:54:44,120 Speaker 1: were taking place. In the course of our research for 901 00:54:44,160 --> 00:54:48,560 Speaker 1: this episode, you know, we found numerous numerous cases of 902 00:54:48,800 --> 00:54:52,600 Speaker 1: unsolved crimes from say the seventeen hundreds or the eighteen hundreds, 903 00:54:52,840 --> 00:54:59,040 Speaker 1: well before criminologists had even attempted to make a term 904 00:54:59,239 --> 00:55:03,759 Speaker 1: to encapsule this sort of practice. But those crimes have 905 00:55:03,880 --> 00:55:06,920 Speaker 1: even less of a chance of being solved. These crimes, well, 906 00:55:06,960 --> 00:55:10,760 Speaker 1: they have a very very very slim hope of being solved, 907 00:55:11,360 --> 00:55:14,680 Speaker 1: are still not completely impossible to crack today. 908 00:55:15,400 --> 00:55:18,440 Speaker 4: So right to us on social media where we are 909 00:55:18,640 --> 00:55:22,040 Speaker 4: at conspiracy stuff on Twitter and Facebook, we. 910 00:55:21,960 --> 00:55:24,880 Speaker 5: Also have a new Facebook group called Here's where it 911 00:55:24,920 --> 00:55:27,480 Speaker 5: Gets Crazy, because that's the place where it gets crazy 912 00:55:27,520 --> 00:55:29,920 Speaker 5: is in that Facebook group, and you can, you know, 913 00:55:30,080 --> 00:55:31,480 Speaker 5: you can sign up and then we'll send us a 914 00:55:31,520 --> 00:55:33,280 Speaker 5: pin and if we think you've got. 915 00:55:33,120 --> 00:55:38,480 Speaker 2: The stuff, we'll accept you. Yeah, spoiler alert, We accept. 916 00:55:38,239 --> 00:55:41,359 Speaker 4: Everybody we do. It's a great place to discuss an 917 00:55:41,400 --> 00:55:44,280 Speaker 4: episode if you just want to talk with somebody else 918 00:55:44,480 --> 00:55:48,000 Speaker 4: about it, and maybe nobody in your close family or 919 00:55:48,080 --> 00:55:51,919 Speaker 4: friend group is interested in a specific thing, go there. 920 00:55:52,120 --> 00:55:54,360 Speaker 4: There will be people who want to talk with you about. 921 00:55:54,120 --> 00:55:56,720 Speaker 5: It, and I guarantee it has the potential to create 922 00:55:56,760 --> 00:56:00,319 Speaker 5: some fodder for future episodes and future discussions right here 923 00:56:00,400 --> 00:56:01,000 Speaker 5: on the show. 924 00:56:02,480 --> 00:56:05,360 Speaker 4: And that's the end of this classic episode. If you 925 00:56:05,440 --> 00:56:09,520 Speaker 4: have any thoughts or questions about this episode, you can 926 00:56:09,560 --> 00:56:12,160 Speaker 4: get into contact with us in a number of different ways. 927 00:56:12,360 --> 00:56:13,919 Speaker 4: One of the best is to give us a call. 928 00:56:13,960 --> 00:56:18,080 Speaker 4: Our number is one eight three three st d WYTK. 929 00:56:18,600 --> 00:56:20,359 Speaker 4: If you don't want to do that, you can send 930 00:56:20,440 --> 00:56:21,840 Speaker 4: us a good old fashioned email. 931 00:56:22,080 --> 00:56:26,239 Speaker 1: We are conspiracy at iHeartRadio dot com. 932 00:56:26,400 --> 00:56:28,480 Speaker 4: Stuff they Don't Want You to Know is a production 933 00:56:28,560 --> 00:56:33,120 Speaker 4: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio, app, 934 00:56:33,200 --> 00:56:36,040 Speaker 4: Apple podcasts, or wherever you listen to your favorite shows.