1 00:00:00,880 --> 00:00:04,720 Speaker 1: This story contains adult content and language, along with references 2 00:00:04,720 --> 00:00:07,920 Speaker 1: to sexual assault. Listener discretion is advised. 3 00:00:15,440 --> 00:00:19,079 Speaker 2: If you're prepared to slaughter for people who offer no resistance, 4 00:00:19,160 --> 00:00:22,079 Speaker 2: that's why you're there. This is robbery gone according to plan, 5 00:00:22,280 --> 00:00:23,200 Speaker 2: not gone wrong. 6 00:00:30,240 --> 00:00:34,080 Speaker 1: I'm Kate Winkler Dawson, a nonfiction author and journalism professor 7 00:00:34,159 --> 00:00:36,879 Speaker 1: in Austin, Texas. I'm also the co host of the 8 00:00:36,920 --> 00:00:40,760 Speaker 1: podcast Buried Bones on Exactly Right, and throughout my career, 9 00:00:41,000 --> 00:00:44,760 Speaker 1: research for my many audio and book projects has taken 10 00:00:44,800 --> 00:00:48,040 Speaker 1: me around the world. On Wicked Words, I sit down 11 00:00:48,080 --> 00:00:52,840 Speaker 1: with the people I've met along the way, amazing writers, journalists, filmmakers, 12 00:00:52,840 --> 00:00:57,280 Speaker 1: and podcasters who have investigated and reported on notorious true 13 00:00:57,280 --> 00:01:01,040 Speaker 1: crime cases. This is about the choices writers make, both 14 00:01:01,120 --> 00:01:04,040 Speaker 1: good and bad, and it's a deep dive into the 15 00:01:04,160 --> 00:01:09,959 Speaker 1: unpublished details behind their stories. Police cold case units have 16 00:01:10,040 --> 00:01:13,800 Speaker 1: broken some of the country's most notorious murder cases, and 17 00:01:13,880 --> 00:01:18,199 Speaker 1: today we're talking to writer Michael Arntfield about Nashville's cold 18 00:01:18,240 --> 00:01:21,479 Speaker 1: Case Murder Squad and how it's lead investigator tracked down 19 00:01:21,560 --> 00:01:25,080 Speaker 1: the serial killers who terrorized the city in the eighties 20 00:01:25,120 --> 00:01:29,720 Speaker 1: and nineties. The story's unfold in his book, Monster City, Murder, 21 00:01:29,920 --> 00:01:36,800 Speaker 1: Music and Mayhem in Nashville's Dark Age. Tell me about 22 00:01:36,840 --> 00:01:40,080 Speaker 1: your main character. Start with how to pronounce his last name, 23 00:01:40,120 --> 00:01:42,319 Speaker 1: so I don't butcher it too much through this whole show. 24 00:01:42,880 --> 00:01:47,080 Speaker 2: So, yeah, pat posted Glione, who's a New York guy 25 00:01:47,280 --> 00:01:50,280 Speaker 2: who ends up going to Nashville on vacation and falls 26 00:01:50,280 --> 00:01:52,240 Speaker 2: in love with the place and ends up then dedicating 27 00:01:52,280 --> 00:01:55,120 Speaker 2: his life to being a police officer there and just 28 00:01:55,240 --> 00:01:57,960 Speaker 2: happens to be the tip of the spear when it 29 00:01:58,000 --> 00:02:02,520 Speaker 2: comes to investigating this orient of serial sexual homicide that 30 00:02:02,600 --> 00:02:05,440 Speaker 2: just enveloped the place. And I mean his methods in 31 00:02:05,520 --> 00:02:10,160 Speaker 2: terms of linking crimes, in terms of prioritizing cold cases, 32 00:02:10,200 --> 00:02:12,880 Speaker 2: which at the time wasn't even really like a term, 33 00:02:13,120 --> 00:02:16,880 Speaker 2: but he put together a team that that was their mission, 34 00:02:17,600 --> 00:02:21,520 Speaker 2: and really this became the exemplar of what now would 35 00:02:21,520 --> 00:02:24,680 Speaker 2: be like a fully functional, dedicated cold case score. 36 00:02:25,040 --> 00:02:28,079 Speaker 1: Okay, tell me how you intersect with this story, How 37 00:02:28,080 --> 00:02:30,000 Speaker 1: did you find it? Why are you interested in it? 38 00:02:30,600 --> 00:02:34,760 Speaker 2: So after essentially retiring early as a police officer to 39 00:02:34,800 --> 00:02:39,200 Speaker 2: accept a tenured position at a university near Toronto, Western 40 00:02:39,280 --> 00:02:42,639 Speaker 2: University here in Canada, I then was fortunate enough to 41 00:02:42,680 --> 00:02:44,760 Speaker 2: be designated was known as a full Bright Stallar by 42 00:02:44,760 --> 00:02:46,920 Speaker 2: the US State Department. So this is a program that 43 00:02:46,960 --> 00:02:53,280 Speaker 2: it brings in foreign experts to guest lecture at American University. 44 00:02:53,320 --> 00:02:56,880 Speaker 2: So I got paired with Vanderbilt in Nashville, and as 45 00:02:56,880 --> 00:03:00,200 Speaker 2: I'm making preparations basically to move there for six months 46 00:03:00,280 --> 00:03:03,000 Speaker 2: or so, I was part of an online group of 47 00:03:03,160 --> 00:03:05,600 Speaker 2: current and former law enforcement who would be like basically 48 00:03:05,600 --> 00:03:08,320 Speaker 2: a list ser like a chat group. So someone would 49 00:03:08,360 --> 00:03:09,920 Speaker 2: have a tricky case and they'd put it out to 50 00:03:09,919 --> 00:03:11,400 Speaker 2: the group. There's about one hundred of us in the 51 00:03:11,440 --> 00:03:14,960 Speaker 2: group and say, yeah, has anybody ever encountered you know 52 00:03:15,160 --> 00:03:19,040 Speaker 2: this tool mark for instance, like a reddit basically like 53 00:03:19,160 --> 00:03:23,400 Speaker 2: a restricted reddit of law enforcement of forensic professionals. And 54 00:03:23,440 --> 00:03:25,880 Speaker 2: I remember there was a guy on there who was 55 00:03:25,919 --> 00:03:29,520 Speaker 2: a Nashville detective pat post at Gulian and who specialized 56 00:03:29,560 --> 00:03:31,519 Speaker 2: in cold cases, which I was doing at the time 57 00:03:31,560 --> 00:03:34,359 Speaker 2: as well. I had to think tank at the university 58 00:03:34,480 --> 00:03:38,240 Speaker 2: essentially where we I'd pull in people from various disciplines 59 00:03:38,280 --> 00:03:42,279 Speaker 2: and get their take on how to reapproach unsolved homicides. 60 00:03:43,200 --> 00:03:45,360 Speaker 2: And I said, Hey, I'm going to be in Nashville 61 00:03:45,360 --> 00:03:46,600 Speaker 2: for a while do you want to meet up? And 62 00:03:46,640 --> 00:03:48,520 Speaker 2: we met up, and I just thought it was going 63 00:03:48,560 --> 00:03:50,640 Speaker 2: to be a friendly conversation, and he starts talking about 64 00:03:50,640 --> 00:03:52,960 Speaker 2: these cases that I had never heard of. It's like 65 00:03:53,160 --> 00:03:58,280 Speaker 2: really twisted cases of tremendous criminological importance, because I mean 66 00:03:58,320 --> 00:04:01,800 Speaker 2: there was offender behavior years and patterns that I hadn't 67 00:04:01,800 --> 00:04:05,640 Speaker 2: really encountered before. So he was telling me this story, 68 00:04:05,680 --> 00:04:08,280 Speaker 2: and I realized right there and then that this is 69 00:04:08,680 --> 00:04:10,760 Speaker 2: And I had already written several books by then, but 70 00:04:10,880 --> 00:04:13,880 Speaker 2: I immediately realized this has to be the next book 71 00:04:13,960 --> 00:04:18,400 Speaker 2: in a series of books I was creating about extraordinary 72 00:04:18,600 --> 00:04:22,839 Speaker 2: criminal phenomenon in everyday cities, and that became Monster City, 73 00:04:23,240 --> 00:04:26,359 Speaker 2: Murdered Music in Mayhem, and Nashville's Dark Age, and so 74 00:04:26,440 --> 00:04:29,159 Speaker 2: all the cases in our actual cases, A lot of 75 00:04:29,160 --> 00:04:32,480 Speaker 2: it is secondary research I conducted or other interviews have done, 76 00:04:32,520 --> 00:04:34,920 Speaker 2: but it's largely Pat story. 77 00:04:35,200 --> 00:04:38,520 Speaker 1: Well, let's start with Pat's story. Where does he get 78 00:04:38,560 --> 00:04:40,760 Speaker 1: started here? I know that you said he came from 79 00:04:40,760 --> 00:04:42,839 Speaker 1: New York to Nashville, fell in love with the city. 80 00:04:43,320 --> 00:04:46,480 Speaker 1: What do you think was appealing to him about Nashville? 81 00:04:46,480 --> 00:04:47,520 Speaker 1: And when did he arrive? 82 00:04:48,240 --> 00:04:50,680 Speaker 2: So he arrived there, you know, he was working for 83 00:04:50,920 --> 00:04:54,480 Speaker 2: an HVAC business in New York can actually helped build 84 00:04:54,600 --> 00:04:57,480 Speaker 2: the World Trade Complex. You can believe that he comes 85 00:04:57,520 --> 00:05:02,160 Speaker 2: to Nashville and on vacation and something just about it 86 00:05:02,200 --> 00:05:03,920 Speaker 2: was just sort of a Goldilock city. It was just 87 00:05:03,960 --> 00:05:06,440 Speaker 2: like the right fit at that time. I mean, this 88 00:05:06,560 --> 00:05:09,320 Speaker 2: is before it's the massive, you know, tourist draw that 89 00:05:09,400 --> 00:05:11,920 Speaker 2: it is now. I mean, if you talk about the weather, 90 00:05:12,000 --> 00:05:14,520 Speaker 2: if you talk sort of about the geography, the culture, 91 00:05:15,320 --> 00:05:17,760 Speaker 2: and what was going on with New Country at the 92 00:05:17,760 --> 00:05:20,080 Speaker 2: time as well, it was just an interesting place to be. 93 00:05:20,120 --> 00:05:21,520 Speaker 2: And he thought, you know, I'm in the layd down 94 00:05:21,600 --> 00:05:25,719 Speaker 2: roots here and applies to the Metro Nashville Police Department 95 00:05:26,480 --> 00:05:30,320 Speaker 2: and works his way up to being homicide detectives. So 96 00:05:30,400 --> 00:05:33,120 Speaker 2: that puts us really sort of in the early eighties 97 00:05:33,160 --> 00:05:36,040 Speaker 2: at this point, and this is really when things get interesting. 98 00:05:36,560 --> 00:05:39,039 Speaker 1: Now, tell me about crime in the United States in 99 00:05:39,080 --> 00:05:42,640 Speaker 1: the early eighties, I mean, specifically in Nashville, what are 100 00:05:42,680 --> 00:05:44,359 Speaker 1: we seeing. Are we in the middle of a crime 101 00:05:44,440 --> 00:05:47,200 Speaker 1: wave or are we relatively low in this time period. 102 00:05:47,240 --> 00:05:50,400 Speaker 2: Nashville, like a lot of US cities at the time, 103 00:05:50,600 --> 00:05:54,440 Speaker 2: was going through some pretty significant changes in terms of crime. 104 00:05:54,480 --> 00:05:57,120 Speaker 2: I actually just edited a book or reviewed a book 105 00:05:57,160 --> 00:05:59,400 Speaker 2: that will be coming out soon that makes the argument 106 00:05:59,440 --> 00:06:02,719 Speaker 2: the nineteen seventy eight was actually the most significant year 107 00:06:03,279 --> 00:06:06,400 Speaker 2: in crime in American history. And I don't want to 108 00:06:06,480 --> 00:06:09,359 Speaker 2: spoiler or get into that, but I completely agreed with 109 00:06:09,400 --> 00:06:12,520 Speaker 2: that thesis in terms of when you look at new 110 00:06:12,560 --> 00:06:16,320 Speaker 2: types of offending, domestic terrorism, serial murder. I mean, this 111 00:06:16,440 --> 00:06:18,960 Speaker 2: really is when the concept of serial murder comes to 112 00:06:19,000 --> 00:06:23,440 Speaker 2: the forefront. So crime overall is up, but I think 113 00:06:23,480 --> 00:06:26,800 Speaker 2: it's it's the recognition that people just don't commit these 114 00:06:27,120 --> 00:06:31,039 Speaker 2: random crimes. It was improved understanding. I think of offender psychology. 115 00:06:31,320 --> 00:06:33,839 Speaker 1: What is the public talking about in this time period 116 00:06:33,880 --> 00:06:36,440 Speaker 1: as far as the serial killer, because this is the 117 00:06:36,440 --> 00:06:40,080 Speaker 1: decade not many years after when the FBI coins the 118 00:06:40,120 --> 00:06:43,719 Speaker 1: phrase serial killer. This is Ted Bundy time, right, So 119 00:06:43,920 --> 00:06:47,200 Speaker 1: is this really what people are starting to focus on, is, oh, 120 00:06:47,200 --> 00:06:50,760 Speaker 1: my god, there are people who who kill people at random, 121 00:06:51,000 --> 00:06:53,440 Speaker 1: you know, and for particular type of pleasure. 122 00:06:53,760 --> 00:06:57,520 Speaker 2: Yeah. So, I mean serial murder actually was coined in 123 00:06:57,560 --> 00:07:01,760 Speaker 2: Germany in the nineteen twenties, and they had done tremendous 124 00:07:02,160 --> 00:07:05,920 Speaker 2: research and had methods in identifying serial killers that were 125 00:07:05,960 --> 00:07:08,280 Speaker 2: decades ahead. Actually the FBI, and all those records are 126 00:07:08,279 --> 00:07:11,240 Speaker 2: obviously lost after World War two or during World War two, 127 00:07:11,800 --> 00:07:14,360 Speaker 2: but then the FBI sort of re establishes it in 128 00:07:14,400 --> 00:07:18,080 Speaker 2: the seventies. And yet by the eighties, this is a 129 00:07:18,400 --> 00:07:20,720 Speaker 2: law enforcement in the public at large woke up to 130 00:07:20,720 --> 00:07:23,320 Speaker 2: the fact that these people have always existed. Now we 131 00:07:23,400 --> 00:07:26,280 Speaker 2: have like a nomenclature, like we have terminology to describe them, 132 00:07:26,280 --> 00:07:29,880 Speaker 2: we understand how they work better. I mean, it's not 133 00:07:29,920 --> 00:07:32,440 Speaker 2: as though there was a sudden increase in them. I 134 00:07:32,480 --> 00:07:35,480 Speaker 2: mean you could say that by the early seventies that 135 00:07:35,600 --> 00:07:38,720 Speaker 2: was sort of when they were really proliferating, but certainly 136 00:07:38,720 --> 00:07:40,840 Speaker 2: by the eighties they weren't getting away with it as 137 00:07:40,920 --> 00:07:42,880 Speaker 2: much anymore. That's why you have a glut of people 138 00:07:42,960 --> 00:07:46,800 Speaker 2: caught in the eighties like Ted Bundy and Gaycy and 139 00:07:46,920 --> 00:07:49,320 Speaker 2: some of the better known names. That makes people think 140 00:07:49,360 --> 00:07:51,120 Speaker 2: that was sort of the quote unquote golden age of 141 00:07:51,160 --> 00:07:52,920 Speaker 2: the serial killer, when in fact it is just that 142 00:07:52,960 --> 00:07:57,960 Speaker 2: we were getting better at catching them. 143 00:07:58,160 --> 00:08:00,200 Speaker 1: I can't tell you, I mean, I primarily were in 144 00:08:00,240 --> 00:08:02,840 Speaker 1: the eighteen hundreds, and I can't tell you how many 145 00:08:03,360 --> 00:08:07,280 Speaker 1: books I've seen naming different people or different groups of 146 00:08:07,280 --> 00:08:10,640 Speaker 1: people as America's first serial killers, which is all bullshit. 147 00:08:10,760 --> 00:08:12,480 Speaker 3: I mean, we have no idea that people have. 148 00:08:12,440 --> 00:08:16,120 Speaker 1: Been killing multiple people for sexual sadism, or whatever, the 149 00:08:16,160 --> 00:08:17,760 Speaker 1: motivation is, whatever you want to say. 150 00:08:17,760 --> 00:08:20,320 Speaker 3: That typical serial killer prototype is. 151 00:08:20,680 --> 00:08:23,760 Speaker 1: Forever and at thousands of years, and so every time 152 00:08:23,800 --> 00:08:25,520 Speaker 1: I see that, I just think that's not true. And 153 00:08:25,560 --> 00:08:28,800 Speaker 1: I almost always know someone who's done it earlier than 154 00:08:28,840 --> 00:08:31,360 Speaker 1: they have, So I think you're right. You know, you're 155 00:08:31,400 --> 00:08:33,800 Speaker 1: looking at a time period in the eighties where it's 156 00:08:33,880 --> 00:08:37,160 Speaker 1: really especially with Bundy, people are really going, oh my gosh. 157 00:08:37,280 --> 00:08:39,840 Speaker 1: You know that not everyone looks like an Edmund Kemper, 158 00:08:40,000 --> 00:08:42,000 Speaker 1: who is a serial killer who you feel like you 159 00:08:42,040 --> 00:08:45,160 Speaker 1: can spot from far away. You have this man who 160 00:08:45,360 --> 00:08:47,440 Speaker 1: could be dating your daughter or live next door to you. 161 00:08:47,720 --> 00:08:50,320 Speaker 1: So that always felt like a turning point for me. 162 00:08:51,240 --> 00:08:54,160 Speaker 1: What is Pat as a detective and he's in Nashville, 163 00:08:54,480 --> 00:08:58,040 Speaker 1: When does he establish this cold case department? And you 164 00:08:58,080 --> 00:09:01,160 Speaker 1: know what is sort of the church actory of his 165 00:09:01,280 --> 00:09:02,000 Speaker 1: career there. 166 00:09:02,440 --> 00:09:06,480 Speaker 2: So it actually began sort of as a side project, 167 00:09:06,520 --> 00:09:08,680 Speaker 2: if you will, like again, during this inflection point that 168 00:09:08,720 --> 00:09:11,439 Speaker 2: you've described where people realize, look, listen, we've got to 169 00:09:11,480 --> 00:09:14,920 Speaker 2: figure this out. So he sort of puts together a 170 00:09:15,000 --> 00:09:18,840 Speaker 2: team and there's no official standing, but he's sort of 171 00:09:18,840 --> 00:09:21,640 Speaker 2: in the term in law enforcement is you start working 172 00:09:21,960 --> 00:09:24,200 Speaker 2: cold cases off the corner of your desk, so you've 173 00:09:24,200 --> 00:09:26,840 Speaker 2: got all these other files, but then you've got this 174 00:09:26,920 --> 00:09:30,640 Speaker 2: little figuratively and literally area of your workspace etched out 175 00:09:30,720 --> 00:09:33,640 Speaker 2: for as time permits. I'm going to work on this 176 00:09:33,720 --> 00:09:37,400 Speaker 2: as well, because I've got active cases, but I'm particularly interested. 177 00:09:37,480 --> 00:09:40,680 Speaker 2: It's not even necessarily assigned to him, but it's there 178 00:09:40,960 --> 00:09:44,679 Speaker 2: for the taking for those who are motivated. And that's 179 00:09:44,720 --> 00:09:47,720 Speaker 2: what always frustrated me. And the point in common that 180 00:09:47,760 --> 00:09:50,520 Speaker 2: we had is do you not have the intellectual curiosity? 181 00:09:50,640 --> 00:09:52,920 Speaker 2: And I know you're busy, but do you not, if 182 00:09:52,920 --> 00:09:56,720 Speaker 2: you're in this role, want to know who was waiting 183 00:09:56,760 --> 00:10:00,679 Speaker 2: inside that apartment after a precision break and that left 184 00:10:00,720 --> 00:10:03,120 Speaker 2: no sign of forced entry. Who's waiting for this girl 185 00:10:03,200 --> 00:10:06,080 Speaker 2: to come home and raped and killed her? 186 00:10:06,120 --> 00:10:06,200 Speaker 1: Like? 187 00:10:06,280 --> 00:10:09,000 Speaker 2: Do you not want to know who could operate that stealthily? 188 00:10:09,160 --> 00:10:11,760 Speaker 2: And do you not want to stop him before he 189 00:10:11,760 --> 00:10:14,920 Speaker 2: strikes again? And unfortunately there's a lot of investigators they're 190 00:10:14,960 --> 00:10:17,280 Speaker 2: just like, Okay, that's somebody else's problem. Well, no, it's 191 00:10:17,520 --> 00:10:19,840 Speaker 2: you signed up for this, and so you work it 192 00:10:19,880 --> 00:10:22,080 Speaker 2: off the corner of your desk until the resources are 193 00:10:22,120 --> 00:10:25,440 Speaker 2: allotted to these cases where you can actually start a 194 00:10:25,559 --> 00:10:28,400 Speaker 2: designated so they go by different names. Cold case squad 195 00:10:28,520 --> 00:10:32,120 Speaker 2: or Historical Crimes Unit is the language typically used now. 196 00:10:32,640 --> 00:10:35,920 Speaker 2: But this started out as something on the side until 197 00:10:35,920 --> 00:10:38,760 Speaker 2: it crystallized, and now they have a designated squad and 198 00:10:39,400 --> 00:10:42,520 Speaker 2: he's way in front of at least municipal police department. 199 00:10:42,600 --> 00:10:43,800 Speaker 2: He's way ahead of the game. 200 00:10:44,200 --> 00:10:45,800 Speaker 1: I know that we talk about do we want to 201 00:10:45,800 --> 00:10:47,680 Speaker 1: get these people off the street, And of course you know, 202 00:10:47,679 --> 00:10:50,480 Speaker 1: I'm sure, and you know that there's so much pressure 203 00:10:50,720 --> 00:10:52,120 Speaker 1: to take care of these cases. 204 00:10:52,120 --> 00:10:53,400 Speaker 3: They're clear and present dangers. 205 00:10:53,440 --> 00:10:57,360 Speaker 1: The one that they're making the headlines and the priority 206 00:10:57,440 --> 00:10:59,599 Speaker 1: might not be cases that are twenty or thirty or 207 00:10:59,600 --> 00:11:02,480 Speaker 1: forty yearsyears old, even ten years old. But what do 208 00:11:02,520 --> 00:11:05,959 Speaker 1: you think the value is in solving a case. We're 209 00:11:05,960 --> 00:11:09,480 Speaker 1: seeing a lot now with genetic genealogy, these cases that 210 00:11:09,520 --> 00:11:12,880 Speaker 1: are eighty years old, we're clearly the characters, people involved 211 00:11:12,920 --> 00:11:14,920 Speaker 1: with the story, you're all dead. Do you think there 212 00:11:14,960 --> 00:11:19,400 Speaker 1: is as much value providing closure to families, survivors or 213 00:11:19,400 --> 00:11:23,079 Speaker 1: whoever it is as it is solving current cases that 214 00:11:23,360 --> 00:11:24,640 Speaker 1: could be threats to the public. 215 00:11:24,679 --> 00:11:25,000 Speaker 3: Also. 216 00:11:25,440 --> 00:11:29,040 Speaker 2: Yeah, so investigative genetic genealogy is I've said, the most 217 00:11:29,040 --> 00:11:34,480 Speaker 2: significant development in criminal investigation since the fingerprint, because unlike 218 00:11:34,520 --> 00:11:37,079 Speaker 2: other forms of forensic evidence, you can get a partial match, 219 00:11:37,240 --> 00:11:39,280 Speaker 2: so you may never get a full fingerprint, but it's 220 00:11:39,280 --> 00:11:41,640 Speaker 2: a starting point. It allows you to narrow the haystack 221 00:11:41,720 --> 00:11:46,040 Speaker 2: of possible offenders. That's how genetic genealogy works. I mean most, yeah, 222 00:11:46,240 --> 00:11:51,000 Speaker 2: sexual serial murders aren't uploading their ancestry results to ged 223 00:11:51,080 --> 00:11:54,360 Speaker 2: match or to family Tree DNA, but you know, a 224 00:11:54,480 --> 00:11:57,199 Speaker 2: fourth cousin they've never met may have done that. And 225 00:11:57,400 --> 00:12:00,559 Speaker 2: now we're into your bloodline and it's about a case 226 00:12:00,559 --> 00:12:02,640 Speaker 2: a week, and some yeah are like fifty sixty years 227 00:12:02,640 --> 00:12:05,439 Speaker 2: old and everybody's dead. But the communities and certainly the 228 00:12:05,480 --> 00:12:09,120 Speaker 2: police department still I have tremendous benefit from that. And 229 00:12:09,160 --> 00:12:11,400 Speaker 2: we're seeing a lot of people now also arrested. And 230 00:12:11,480 --> 00:12:14,040 Speaker 2: there's a case here in Toronto, two women again break 231 00:12:14,080 --> 00:12:17,320 Speaker 2: in sexual assault murders. This guy's name was never in 232 00:12:17,360 --> 00:12:19,720 Speaker 2: the thought. And this is saying in cold case investigations 233 00:12:19,800 --> 00:12:23,080 Speaker 2: usually the name is in the file. They've just misjudged 234 00:12:23,080 --> 00:12:25,680 Speaker 2: their role in the case. They're not a witness, they're 235 00:12:25,679 --> 00:12:28,480 Speaker 2: not sort of someone who's just a family friend. They 236 00:12:28,480 --> 00:12:31,440 Speaker 2: may actually be the main person of interest. So this 237 00:12:31,520 --> 00:12:33,280 Speaker 2: guy was never even on police radar. He would have 238 00:12:33,280 --> 00:12:36,080 Speaker 2: never been caught were it not for this method. And 239 00:12:36,120 --> 00:12:38,600 Speaker 2: that leads to the next question is what's he been doing? 240 00:12:38,640 --> 00:12:38,960 Speaker 1: Since? 241 00:12:39,400 --> 00:12:42,760 Speaker 2: I mean, you successfully break into two women's apartments, sexually 242 00:12:42,760 --> 00:12:46,199 Speaker 2: assault them in ritualistic fashion, I should say, and then 243 00:12:46,320 --> 00:12:50,680 Speaker 2: murder them brutally. You don't just stop. So he's been 244 00:12:50,880 --> 00:12:55,040 Speaker 2: on the land for almost forty years, what's he been 245 00:12:55,120 --> 00:12:58,280 Speaker 2: up to? And then the secondary investigation starts. What other 246 00:12:58,360 --> 00:12:59,600 Speaker 2: cases can weeld into him? 247 00:12:59,600 --> 00:12:59,760 Speaker 1: Now? 248 00:13:00,200 --> 00:13:02,800 Speaker 2: There is tremendous value to it, so much so that 249 00:13:02,840 --> 00:13:07,040 Speaker 2: I've suggested that we're solving cases that it's being used 250 00:13:07,040 --> 00:13:09,080 Speaker 2: in more and more cases that are only a couple 251 00:13:09,120 --> 00:13:11,160 Speaker 2: of years old. Could we get to a point where, 252 00:13:11,400 --> 00:13:13,760 Speaker 2: you know, in the next generation, could actually retire the 253 00:13:13,840 --> 00:13:16,440 Speaker 2: term cold case because it wouldn't get to the point 254 00:13:16,440 --> 00:13:18,400 Speaker 2: where cases are with using this method. 255 00:13:18,920 --> 00:13:21,960 Speaker 1: So where does it make sense for us to start 256 00:13:22,480 --> 00:13:24,640 Speaker 1: in this sort of list of serial killers knowing we're 257 00:13:24,679 --> 00:13:26,040 Speaker 1: not going to make it through all of them, but 258 00:13:26,240 --> 00:13:29,920 Speaker 1: you know, kind of doing a good chronological dive into 259 00:13:30,440 --> 00:13:32,280 Speaker 1: that case, which one do we start with? 260 00:13:32,679 --> 00:13:34,559 Speaker 2: I think we start in part five of the book, 261 00:13:34,600 --> 00:13:37,080 Speaker 2: which is chapters twenty nine through thirty six, and work 262 00:13:37,080 --> 00:13:40,200 Speaker 2: our way backwards, and that's the fast food murders, which 263 00:13:40,600 --> 00:13:44,680 Speaker 2: very disturbing. These are the crimes of someone eventually identified 264 00:13:44,679 --> 00:13:48,120 Speaker 2: by pattis Paul Dennis Reid, who is actually a mass 265 00:13:48,240 --> 00:13:51,839 Speaker 2: murder or serial killer. So the definition of a serial 266 00:13:51,880 --> 00:13:54,760 Speaker 2: killer is someone who commits two or more murders at 267 00:13:54,840 --> 00:13:58,200 Speaker 2: separate times and places. That's it. But imagine if during 268 00:13:58,200 --> 00:14:02,000 Speaker 2: each of these murders there's multiple victims. And it's for 269 00:14:02,040 --> 00:14:05,640 Speaker 2: that reason that I've got calls from retired law enforcement 270 00:14:05,679 --> 00:14:07,880 Speaker 2: saying that, you know, we had a very similar kind 271 00:14:07,880 --> 00:14:10,840 Speaker 2: of still unsolved, you know, in for instance, in Indiana 272 00:14:11,000 --> 00:14:12,840 Speaker 2: and in the early eighties. Do you think he could 273 00:14:12,880 --> 00:14:15,400 Speaker 2: have been near Speedway, Indiana in the eighties because the 274 00:14:15,640 --> 00:14:18,880 Speaker 2: moo is bang on, and we know he was nomadic, 275 00:14:18,920 --> 00:14:22,000 Speaker 2: and I mean, how many people really were doing this? 276 00:14:22,120 --> 00:14:25,000 Speaker 2: I mean essentially his what he would do is he 277 00:14:25,000 --> 00:14:28,640 Speaker 2: would con his way into various fast food places, ice 278 00:14:28,640 --> 00:14:34,520 Speaker 2: cream parlors, McDonald's, other regional chains and typically near closing 279 00:14:34,560 --> 00:14:38,560 Speaker 2: time or at opening time, and would murder everybody there. 280 00:14:38,960 --> 00:14:42,960 Speaker 2: There were some indications that these were robberies, but he's 281 00:14:43,000 --> 00:14:45,800 Speaker 2: taking pocket change essentially, like a few hundred dollars and 282 00:14:45,960 --> 00:14:49,200 Speaker 2: shooting four teenage kids in the head and doing that. 283 00:14:50,320 --> 00:14:53,520 Speaker 2: It was never about the money. Originally from Texas, his 284 00:14:53,640 --> 00:14:57,840 Speaker 2: first known crime was a violent takeover robbery of a 285 00:14:57,880 --> 00:15:03,120 Speaker 2: steakhouse in Houston, Sies, so he his AMO was established 286 00:15:03,160 --> 00:15:06,880 Speaker 2: early on. He cases eateries, he doesn't care who's there, 287 00:15:07,200 --> 00:15:09,760 Speaker 2: and he's prepared to, you know, use tremendous violence. A 288 00:15:09,800 --> 00:15:12,760 Speaker 2: few years later, a bunch of kids again are murdered 289 00:15:12,760 --> 00:15:15,640 Speaker 2: at a bowling alley, again in Texas. It has all 290 00:15:15,680 --> 00:15:18,480 Speaker 2: the makings of what would later become his crimes in Nashville, 291 00:15:18,480 --> 00:15:20,520 Speaker 2: and another guy ended up going to death row for 292 00:15:20,640 --> 00:15:24,040 Speaker 2: those for those crimes, and Pat you know, was very 293 00:15:24,120 --> 00:15:26,480 Speaker 2: vocal saying you've got the wrong guy. And the guy 294 00:15:26,560 --> 00:15:28,920 Speaker 2: ended up dying on death row. He was never executed. 295 00:15:28,960 --> 00:15:32,040 Speaker 2: But we're looking at that as being connected to Paul's 296 00:15:32,040 --> 00:15:34,920 Speaker 2: industry as well. So when you ask what were people 297 00:15:34,960 --> 00:15:39,440 Speaker 2: talking about, certainly people were talking about those crimes whereby 298 00:15:39,960 --> 00:15:42,040 Speaker 2: any place could be struck next and you're going to 299 00:15:42,120 --> 00:15:44,120 Speaker 2: let your teenage son or daughter, you know, close up 300 00:15:44,120 --> 00:15:46,760 Speaker 2: a fast food place. And when this guy's on the loose, 301 00:15:46,840 --> 00:15:50,160 Speaker 2: it was very a very frightening time and a tremendous 302 00:15:50,200 --> 00:15:52,480 Speaker 2: pressure obviously on Pad and the police to find this 303 00:15:52,520 --> 00:15:53,840 Speaker 2: guy before he could strike again. 304 00:15:54,160 --> 00:15:56,520 Speaker 3: What years had he been in Texas and then went 305 00:15:56,560 --> 00:15:57,200 Speaker 3: to Nashville? 306 00:15:57,240 --> 00:15:59,840 Speaker 2: Do you know, we're not entirely sure when he arrived 307 00:15:59,840 --> 00:16:03,840 Speaker 2: in Nashville. And again his movements and the late eighties 308 00:16:03,880 --> 00:16:06,680 Speaker 2: early nineties are largely speculative. The Texas crimes were in 309 00:16:06,760 --> 00:16:09,440 Speaker 2: the eighties. Again, I've been contacted by a retired law 310 00:16:09,480 --> 00:16:12,920 Speaker 2: enforcement to think that he was responsible for possibly responsible 311 00:16:12,920 --> 00:16:15,160 Speaker 2: for what are known as the Burger Chef murders, which 312 00:16:15,160 --> 00:16:17,400 Speaker 2: were another mass murder that fit his mo o and 313 00:16:17,440 --> 00:16:22,160 Speaker 2: speedway Indiana. And then his crimes in Nashville has known 314 00:16:22,240 --> 00:16:24,560 Speaker 2: crimes for which he was eventually prosecuted are all in 315 00:16:25,040 --> 00:16:29,000 Speaker 2: early nineteen ninety seven, and he had chosen to come 316 00:16:29,040 --> 00:16:32,640 Speaker 2: to Nashville. It would seem based on things police found 317 00:16:32,680 --> 00:16:35,280 Speaker 2: once they identified him to be a country star, he 318 00:16:35,320 --> 00:16:38,200 Speaker 2: had never picked up an instrument in his life. They 319 00:16:38,240 --> 00:16:41,680 Speaker 2: found all kinds of creepy photos of him just posing 320 00:16:41,880 --> 00:16:44,480 Speaker 2: like he was going to be like an album cover. 321 00:16:44,840 --> 00:16:47,200 Speaker 2: He had taken a photograph of everywhere he had ever 322 00:16:47,240 --> 00:16:50,960 Speaker 2: been to photo document his time in Nashville, like he 323 00:16:51,000 --> 00:16:54,120 Speaker 2: would take a photograph of of a toilet that he used, 324 00:16:54,160 --> 00:16:56,040 Speaker 2: he would take a photograph of a car that he bought, 325 00:16:56,080 --> 00:16:59,960 Speaker 2: and the just photographs of everything. Surprisingly not his crime. 326 00:17:00,200 --> 00:17:02,560 Speaker 2: So he kills the manager of a Captain D's, which 327 00:17:02,600 --> 00:17:05,600 Speaker 2: is a regional restaurant in the South. He murders a 328 00:17:05,680 --> 00:17:10,400 Speaker 2: number of teenagers Adam McDonald's, and then his final crimes 329 00:17:10,440 --> 00:17:14,240 Speaker 2: involve the kidnap of two female employees of a Baskin Robinson. 330 00:17:14,280 --> 00:17:16,920 Speaker 2: He takes them actually to a remote location and rates 331 00:17:16,920 --> 00:17:19,440 Speaker 2: and murders them. And this is really where he begins 332 00:17:19,480 --> 00:17:23,159 Speaker 2: to make mistakes, and obviously the forensic evidence leads the 333 00:17:23,200 --> 00:17:26,000 Speaker 2: police to Paul Dennis Reid. And then that's where the 334 00:17:26,040 --> 00:17:29,400 Speaker 2: second investigation in all these cases starts with where else 335 00:17:29,400 --> 00:17:30,160 Speaker 2: has this guy been? 336 00:17:30,480 --> 00:17:33,720 Speaker 1: I assume they looked at him in connection with the 337 00:17:33,800 --> 00:17:36,960 Speaker 1: yogurt chop murders in ninety one in Austin, Texas. Sounds 338 00:17:37,000 --> 00:17:37,600 Speaker 1: so similar. 339 00:17:37,960 --> 00:17:41,679 Speaker 2: That's another one. He's one of maybe two strong people 340 00:17:41,720 --> 00:17:44,840 Speaker 2: of interest and again in Texas. So I mean, you've 341 00:17:44,880 --> 00:17:47,960 Speaker 2: got this glut of restaurant mass murders in Texas when 342 00:17:47,960 --> 00:17:51,000 Speaker 2: he's known to be living there. Yeah, one of them 343 00:17:51,080 --> 00:17:55,240 Speaker 2: is somebody else is wrongfully convicted in my view, which 344 00:17:55,320 --> 00:17:58,480 Speaker 2: leaves him free then to roam the country. Whether it's 345 00:17:58,600 --> 00:18:01,440 Speaker 2: or not he's in Indiana, that's unanswerable question at this point. 346 00:18:01,440 --> 00:18:03,520 Speaker 2: But then he ends up in Nashville because he wants 347 00:18:03,560 --> 00:18:06,440 Speaker 2: to get in on a new country fad, and obviously 348 00:18:06,480 --> 00:18:08,800 Speaker 2: that doesn't work, so he goes back to what he knows, 349 00:18:08,840 --> 00:18:10,840 Speaker 2: which is murdering kids. 350 00:18:11,080 --> 00:18:15,480 Speaker 1: I had seen a documentary series about the Speedway murders, 351 00:18:15,520 --> 00:18:18,600 Speaker 1: which was actually, I will say this is an aside, one 352 00:18:18,600 --> 00:18:22,399 Speaker 1: of the more interesting true crime documentary series I've ever seen. 353 00:18:22,560 --> 00:18:25,480 Speaker 1: But it was the Burger Chef murders where they had 354 00:18:25,600 --> 00:18:30,320 Speaker 1: actors portraying the victims and they have a discussion about 355 00:18:30,320 --> 00:18:32,359 Speaker 1: what's about to happen to them, and they start like 356 00:18:32,400 --> 00:18:34,760 Speaker 1: theorizing who all these you know, who the killer could be, 357 00:18:34,760 --> 00:18:37,560 Speaker 1: because in that case there seemed to be so many suspects. 358 00:18:38,080 --> 00:18:41,000 Speaker 1: Witnesses were seeing different things and you know, and I'm 359 00:18:41,040 --> 00:18:43,960 Speaker 1: sure he's mentioned I don't remember. In this countless list 360 00:18:44,000 --> 00:18:46,359 Speaker 1: of suspects that they go through. It was one of 361 00:18:46,359 --> 00:18:47,720 Speaker 1: the most I don't know if it was the best, 362 00:18:47,720 --> 00:18:50,560 Speaker 1: but it was one of the most creative interpretations of 363 00:18:50,880 --> 00:18:52,959 Speaker 1: a true crime story. So that's the only reason I 364 00:18:53,000 --> 00:18:54,959 Speaker 1: know that is you know, and that so that when 365 00:18:55,000 --> 00:18:57,040 Speaker 1: you were starting to talk about murders and fast food, 366 00:18:57,080 --> 00:18:59,199 Speaker 1: I was thinking, I wonder if speedways and there's somewhere. 367 00:18:59,320 --> 00:19:03,240 Speaker 2: Yeah, So tired Indiana State Police detective actually contacted me 368 00:19:03,560 --> 00:19:06,000 Speaker 2: about that, and he had worked that case for years 369 00:19:06,040 --> 00:19:08,399 Speaker 2: and did not know the case of Paul dnis Street. 370 00:19:08,400 --> 00:19:10,919 Speaker 2: So it's interesting these I mean, as recently as the 371 00:19:10,960 --> 00:19:14,199 Speaker 2: twenty twenties, You've got this information out there and just 372 00:19:14,280 --> 00:19:16,359 Speaker 2: no one's really put it all together that someone who 373 00:19:16,480 --> 00:19:20,000 Speaker 2: knows the Bergerschef murders case intimately had no idea of 374 00:19:20,119 --> 00:19:23,280 Speaker 2: the Captain D's or the McDonald's in Nashville twenty years later. 375 00:19:23,320 --> 00:19:24,800 Speaker 2: We got to look at him for that. We got 376 00:19:24,840 --> 00:19:27,160 Speaker 2: to look at him. Obviously, he is the lead person 377 00:19:27,200 --> 00:19:30,680 Speaker 2: of interest in the Austin yogurt shop murders, which are 378 00:19:30,880 --> 00:19:33,280 Speaker 2: very very similar to his final crimes in Nashville at 379 00:19:33,280 --> 00:19:34,040 Speaker 2: the Boston Robbins. 380 00:19:34,280 --> 00:19:36,399 Speaker 1: I just got chills when you were explaining all of 381 00:19:36,440 --> 00:19:39,200 Speaker 1: the different scenarios thinking about yogurt Chop, which is I 382 00:19:39,240 --> 00:19:42,800 Speaker 1: would say one of the most traumatizing stories, you know 383 00:19:43,160 --> 00:19:46,040 Speaker 1: murders that have happened in Austin history for sure, and 384 00:19:46,080 --> 00:19:47,400 Speaker 1: we had Kenneth Allen McDuff. 385 00:19:47,720 --> 00:19:49,119 Speaker 3: So that's really saying something. 386 00:19:49,560 --> 00:19:52,560 Speaker 1: What did Pats see in this case in Reid that 387 00:19:52,720 --> 00:19:56,000 Speaker 1: other people didn't see? Was he making connections or tell 388 00:19:56,040 --> 00:19:58,159 Speaker 1: me what his involvement when the cold case part of 389 00:19:58,200 --> 00:19:58,800 Speaker 1: this came in. 390 00:19:59,160 --> 00:20:01,760 Speaker 2: Well, the cold case part is, I guess what are 391 00:20:01,760 --> 00:20:04,720 Speaker 2: the crimes? Was irresponsible for these? These all happened in 392 00:20:04,760 --> 00:20:08,640 Speaker 2: relatively quick succession. So pass working again these other cold 393 00:20:08,720 --> 00:20:10,760 Speaker 2: cases off the corner of his desk, and you've got 394 00:20:10,880 --> 00:20:13,360 Speaker 2: all of a sudden, this monster who comes to town 395 00:20:13,400 --> 00:20:17,040 Speaker 2: and just goes on an absolute rampage. So I mean 396 00:20:17,040 --> 00:20:19,720 Speaker 2: he's making mistakes at each one. Obviously, they're connecting these 397 00:20:19,720 --> 00:20:23,040 Speaker 2: crimes together very quickly. The mos identical, they're all very 398 00:20:23,080 --> 00:20:28,520 Speaker 2: specifically targeted locations, similar caliber firearm used in all of 399 00:20:28,560 --> 00:20:32,199 Speaker 2: the execution style murders. I mean, eventually they get on 400 00:20:32,280 --> 00:20:36,200 Speaker 2: to read and nobody's really discussed is what were his motivations. 401 00:20:36,280 --> 00:20:40,080 Speaker 2: Ostensibly it's robbery. I can't stand it when people use 402 00:20:40,160 --> 00:20:43,119 Speaker 2: the term robbery gone bad. If you're prepared to slaughter 403 00:20:43,280 --> 00:20:46,920 Speaker 2: four people working there who offer no resistance, that's why 404 00:20:46,920 --> 00:20:49,840 Speaker 2: you're there. That's why you're there. There's a robbery gone 405 00:20:49,840 --> 00:20:53,520 Speaker 2: according to Plant, not gone wrong. So the same thing 406 00:20:53,560 --> 00:20:57,080 Speaker 2: with burglars. We now recognize that there's five subtypes of 407 00:20:57,080 --> 00:21:01,920 Speaker 2: sexually motivated home burglaries where they're helping somebody's inside and 408 00:21:02,040 --> 00:21:04,560 Speaker 2: maybe things get taken in, maybe they don't, but they're 409 00:21:04,560 --> 00:21:07,240 Speaker 2: taken typically as an afterthought, or they're taken as souvenirs 410 00:21:07,240 --> 00:21:09,280 Speaker 2: for the sex crime that occurs in there, not because 411 00:21:09,280 --> 00:21:11,720 Speaker 2: they want to fence the stuff or because it's worth money. 412 00:21:11,960 --> 00:21:14,160 Speaker 2: Richard Ermirez was a really good example of that, where 413 00:21:14,160 --> 00:21:17,440 Speaker 2: he would target homes he knew were occupied to rape 414 00:21:17,480 --> 00:21:19,160 Speaker 2: and murder whoever was in there, and then he would 415 00:21:19,160 --> 00:21:22,679 Speaker 2: take stuff and then discard it because just either to 416 00:21:22,720 --> 00:21:25,840 Speaker 2: throw off police or just because it was initially taken 417 00:21:25,840 --> 00:21:27,639 Speaker 2: as a souvenir of his crime, and then he realized 418 00:21:27,680 --> 00:21:30,560 Speaker 2: it could maybe implicate him, so he discarded it. So 419 00:21:30,600 --> 00:21:34,080 Speaker 2: those were never about robber. They were about serial murder 420 00:21:34,080 --> 00:21:37,440 Speaker 2: and pulled dentistrate is the same and this guy's There's 421 00:21:37,480 --> 00:21:39,320 Speaker 2: not a single sort of label that you can put 422 00:21:39,359 --> 00:21:40,520 Speaker 2: on this guy. But at the end of the day, 423 00:21:40,520 --> 00:21:43,560 Speaker 2: he's a sadist. He derives great pleasure from the suffering 424 00:21:43,600 --> 00:21:46,840 Speaker 2: and terror of others. And that was really a hallmark 425 00:21:47,560 --> 00:21:50,919 Speaker 2: of the Bowling Alley crime in Texas, where he was 426 00:21:51,160 --> 00:21:54,760 Speaker 2: basically whispering things in people's ears before he murdered them 427 00:21:55,040 --> 00:21:55,720 Speaker 2: to taunt them. 428 00:21:56,080 --> 00:22:00,479 Speaker 1: How many people, how many murders have been connected definitive him? 429 00:22:00,480 --> 00:22:02,439 Speaker 1: I'm sure there are many others that they're working on, 430 00:22:02,520 --> 00:22:04,320 Speaker 1: but what is the final number? 431 00:22:04,359 --> 00:22:05,320 Speaker 3: And is he still alive? 432 00:22:05,480 --> 00:22:07,919 Speaker 2: He died in custody not too long ago, actually, But 433 00:22:07,960 --> 00:22:10,680 Speaker 2: the ones definitively linked to him are the Captain D's, 434 00:22:10,960 --> 00:22:14,600 Speaker 2: the McDonald's, and the thirty one Flavor slash Basket Robbins 435 00:22:14,760 --> 00:22:17,399 Speaker 2: in Nashville. The other earlier crimes for which he was 436 00:22:17,440 --> 00:22:21,520 Speaker 2: convicted were violent takeover robberies of similar institutions, but he 437 00:22:21,840 --> 00:22:25,720 Speaker 2: didn't murder anybody. The ones that he's suspected of murdering 438 00:22:25,720 --> 00:22:30,200 Speaker 2: people are still officially unsolved or have been wrongfully linked 439 00:22:30,160 --> 00:22:31,040 Speaker 2: to somebody else. 440 00:22:34,160 --> 00:22:36,240 Speaker 1: Tell me the things right now before we get to 441 00:22:36,280 --> 00:22:39,399 Speaker 1: another case of pats. Tell me the things right now 442 00:22:40,119 --> 00:22:44,480 Speaker 1: that help make the connections like in Israel, keys who 443 00:22:44,720 --> 00:22:48,480 Speaker 1: just traversed the country Alaska to Texas. Essentially, how do 444 00:22:48,560 --> 00:22:50,920 Speaker 1: we make those connections. I could see in the eighties 445 00:22:51,480 --> 00:22:55,080 Speaker 1: and maybe even the nineties a lack of computer connections, 446 00:22:55,119 --> 00:22:59,040 Speaker 1: you know, between all of these jurisdictions. I assume that's changed, 447 00:22:59,040 --> 00:23:01,400 Speaker 1: and you can plug in an m and some other 448 00:23:01,480 --> 00:23:04,960 Speaker 1: basic data and start making almost like a map of 449 00:23:05,440 --> 00:23:07,280 Speaker 1: where these cases might be similar. 450 00:23:07,840 --> 00:23:11,080 Speaker 2: So the system you're talking about, the Violent Criminal Apprehension 451 00:23:11,080 --> 00:23:13,879 Speaker 2: Program or VIACAP run out of the Justice Department. I 452 00:23:13,880 --> 00:23:16,240 Speaker 2: mean that in theory, that would be a good way 453 00:23:16,240 --> 00:23:20,959 Speaker 2: of tracking MOS or fender characteristics between you know, vastly 454 00:23:21,000 --> 00:23:25,520 Speaker 2: separated jurisdictions. But it's a voluntary program. You don't have 455 00:23:25,600 --> 00:23:27,280 Speaker 2: to fill out that questionnaire. So a lot of people 456 00:23:27,280 --> 00:23:29,520 Speaker 2: wants the case is solved, they move on, and they 457 00:23:29,520 --> 00:23:34,000 Speaker 2: don't submit afy CAP form. So there's tons of blind spots, 458 00:23:34,000 --> 00:23:36,640 Speaker 2: so you can't necessarily rely on that. So for years 459 00:23:36,680 --> 00:23:39,919 Speaker 2: that was a huge hindrance because people weren't submitting it, 460 00:23:40,040 --> 00:23:42,480 Speaker 2: or you get false positives or what have you, So 461 00:23:42,520 --> 00:23:44,719 Speaker 2: a guy like Read could roam the country and do 462 00:23:44,800 --> 00:23:47,639 Speaker 2: this despite the fact that you know, these crimes obviously 463 00:23:47,720 --> 00:23:50,320 Speaker 2: have a very specific signature to them. But you mentioned 464 00:23:50,400 --> 00:23:52,840 Speaker 2: is real keys. That's I talk about him at length 465 00:23:52,840 --> 00:23:54,600 Speaker 2: of my last book, How to Solve a Cold Case. 466 00:23:54,640 --> 00:23:57,760 Speaker 2: I mean that guy was the ultimate sort of like Read, 467 00:23:57,800 --> 00:24:03,760 Speaker 2: a sadist who turned murder into a hub. And that's 468 00:24:03,800 --> 00:24:06,040 Speaker 2: maybe a good after we lead into we can talk 469 00:24:06,040 --> 00:24:09,439 Speaker 2: about another case from the book, Michael Scott Magliolo. And 470 00:24:09,480 --> 00:24:12,200 Speaker 2: there's another weird fast food connection here as well, because 471 00:24:12,200 --> 00:24:16,479 Speaker 2: this guy was a McDonald's manager who on his days 472 00:24:16,480 --> 00:24:19,240 Speaker 2: off would act as what was known as a lumper. 473 00:24:19,560 --> 00:24:23,639 Speaker 2: So Nashville is a big trucking hub longhle trucking. So 474 00:24:23,720 --> 00:24:26,720 Speaker 2: a lumper is somebody at the time who would essentially 475 00:24:26,760 --> 00:24:31,800 Speaker 2: offer themselves out as a hand for a trucker in 476 00:24:31,840 --> 00:24:35,800 Speaker 2: exchange for a ride, so basically a hitchhiker who then 477 00:24:35,840 --> 00:24:39,600 Speaker 2: will help the trucker at the destination either offload or 478 00:24:39,680 --> 00:24:43,000 Speaker 2: load up whatever they're picking up or dropping off. So 479 00:24:43,760 --> 00:24:46,320 Speaker 2: he would hitch rides to random places where he had 480 00:24:46,359 --> 00:24:49,240 Speaker 2: no connection. He was just a stranger in town for 481 00:24:49,320 --> 00:24:52,840 Speaker 2: the day and murder random people and then hitch a 482 00:24:52,920 --> 00:24:54,160 Speaker 2: ride back doing the same thing. 483 00:24:54,680 --> 00:24:58,199 Speaker 1: So how many people is he connected to? And what 484 00:24:58,280 --> 00:25:01,280 Speaker 1: a Pat what was his so far about that case? 485 00:25:01,640 --> 00:25:05,399 Speaker 2: So the span of Magliola's crimes are pretty long. Were 486 00:25:05,440 --> 00:25:08,040 Speaker 2: not entirely sure how many people he killed for certain, 487 00:25:08,160 --> 00:25:11,240 Speaker 2: because again his movements couldn't be tracked and he wasn't 488 00:25:11,320 --> 00:25:13,680 Speaker 2: very cooperatve. But I mean, we know for sure between 489 00:25:13,720 --> 00:25:15,639 Speaker 2: nineteen seventy seven. So you mentioned the book starts in 490 00:25:15,720 --> 00:25:18,880 Speaker 2: nineteen seventy five, which is officially before Pat starts working 491 00:25:18,920 --> 00:25:21,600 Speaker 2: in these cases, but then we introduced him as a 492 00:25:21,640 --> 00:25:23,800 Speaker 2: character further on in the book, so he's active for 493 00:25:23,880 --> 00:25:27,719 Speaker 2: sure between seventy seven and ninety one. We know of 494 00:25:28,280 --> 00:25:32,000 Speaker 2: at least two, more likely ten women that he raped 495 00:25:32,040 --> 00:25:34,919 Speaker 2: and murdered across six states between that time. So he 496 00:25:35,160 --> 00:25:39,080 Speaker 2: received fifty years in prison in Tennessee and then fifteen 497 00:25:39,119 --> 00:25:43,000 Speaker 2: years to life for seven murders in Ohio and nineteen 498 00:25:43,080 --> 00:25:45,199 Speaker 2: ninety three, So he sentenced in nineteen ninety three, with 499 00:25:45,200 --> 00:25:47,760 Speaker 2: the murders obviously date back before that. So this is 500 00:25:48,160 --> 00:25:51,600 Speaker 2: one of the first real cold cases that Pat starts 501 00:25:51,640 --> 00:25:56,320 Speaker 2: looking into, and he's solving obviously because these crimes sort 502 00:25:56,320 --> 00:25:59,200 Speaker 2: of pre date his detective work. So he starts working 503 00:25:59,280 --> 00:26:02,000 Speaker 2: the Magliolo what would later be the Magliola murders off 504 00:26:02,040 --> 00:26:04,760 Speaker 2: the corner of his desk, as we say, and then 505 00:26:05,200 --> 00:26:08,239 Speaker 2: eventually it's really weird how he gets caught. They had 506 00:26:08,280 --> 00:26:11,479 Speaker 2: a partial fingerprint at one of the hot Nashville scenes, 507 00:26:11,920 --> 00:26:14,720 Speaker 2: and he would basically just intermittently run it through the 508 00:26:14,800 --> 00:26:19,240 Speaker 2: database and there will not be any hits until Magneol 509 00:26:19,320 --> 00:26:21,720 Speaker 2: got sloppy and he got picked up joy writing with 510 00:26:21,760 --> 00:26:23,160 Speaker 2: a bunch of girls in the car, and we don't 511 00:26:23,200 --> 00:26:24,840 Speaker 2: know what he had intended for them, but it gets 512 00:26:24,880 --> 00:26:28,919 Speaker 2: stopped by the cops joy Writing and it gets pinched 513 00:26:28,920 --> 00:26:31,320 Speaker 2: for a duy. So he gets printed and put into 514 00:26:31,359 --> 00:26:33,720 Speaker 2: the system. Pat checks again. So this is a lesson 515 00:26:33,760 --> 00:26:36,800 Speaker 2: in tenacity, right, so he knows this guy's going to 516 00:26:36,840 --> 00:26:39,119 Speaker 2: screw up, keeps checking the print, keeps checking the print, 517 00:26:39,760 --> 00:26:43,240 Speaker 2: and lo and behold, Magluold's processed into the system now 518 00:26:43,240 --> 00:26:46,000 Speaker 2: in ninety one, and they get the hit and then 519 00:26:46,240 --> 00:26:48,640 Speaker 2: the case gets put together from that. So I mentioned 520 00:26:48,680 --> 00:26:52,159 Speaker 2: earlier investigated genetic genealogy is like a fingerprint, and then 521 00:26:52,160 --> 00:26:54,119 Speaker 2: you can have a partial match and it just takes 522 00:26:54,160 --> 00:26:56,640 Speaker 2: time to get the full match. And that's exactly how 523 00:26:56,680 --> 00:26:57,919 Speaker 2: this case came to be closed. 524 00:26:58,400 --> 00:27:02,840 Speaker 1: So what was Pat's insane with this particular case with 525 00:27:02,920 --> 00:27:05,920 Speaker 1: this offender because he had just this partial print from 526 00:27:05,960 --> 00:27:10,000 Speaker 1: one crime scene. Was he thinking this is not somebody 527 00:27:10,040 --> 00:27:12,600 Speaker 1: who just stopped at this one scene. Was that his 528 00:27:12,720 --> 00:27:14,040 Speaker 1: sort of gut feeling about it? 529 00:27:14,320 --> 00:27:17,200 Speaker 2: Yeah, I mean his gut feeling. So he understood, particularly 530 00:27:17,359 --> 00:27:20,679 Speaker 2: cold case sexual homicides, that they will not stop. It 531 00:27:20,800 --> 00:27:24,639 Speaker 2: is repetitive, episodic behavior. He knew that even if he 532 00:27:24,680 --> 00:27:27,240 Speaker 2: didn't link him to another scene, So like a scene 533 00:27:27,240 --> 00:27:29,840 Speaker 2: to scene match what you can either have through fingerprints 534 00:27:29,920 --> 00:27:32,520 Speaker 2: or you can have typically by DNA, that he would 535 00:27:32,520 --> 00:27:35,000 Speaker 2: be caught for something else because people who engage in 536 00:27:35,040 --> 00:27:39,159 Speaker 2: this behavior it's antisocial. I mean he was an actual psychopath, 537 00:27:39,240 --> 00:27:42,800 Speaker 2: but who engage in this type of conduct are involved 538 00:27:42,800 --> 00:27:45,480 Speaker 2: in all spectra of criminality. So and he was right, 539 00:27:45,520 --> 00:27:48,240 Speaker 2: So the hit is not on another murder, it's on 540 00:27:48,280 --> 00:27:51,960 Speaker 2: a dui h. And so I mean, what an interesting 541 00:27:52,440 --> 00:27:55,880 Speaker 2: way into now solving the case just from and had 542 00:27:55,880 --> 00:27:58,440 Speaker 2: he not gotten sloppy, I mean you shut it a 543 00:27:58,480 --> 00:28:01,159 Speaker 2: thin company using that in oh what we call a 544 00:28:01,160 --> 00:28:05,439 Speaker 2: commuter killer, somebody who murders outside of where they like, 545 00:28:05,560 --> 00:28:07,680 Speaker 2: far away from where they live, like in Israel, keys, 546 00:28:08,200 --> 00:28:10,399 Speaker 2: knowing that they're not going to be on the local 547 00:28:10,440 --> 00:28:13,520 Speaker 2: list of sex offenders or local persons of interest, and 548 00:28:13,560 --> 00:28:15,160 Speaker 2: they're going to be long gone and back home by 549 00:28:15,160 --> 00:28:19,080 Speaker 2: the time and even the body's found. So he could 550 00:28:19,080 --> 00:28:21,560 Speaker 2: have gone on for years using this ruse, and because 551 00:28:21,560 --> 00:28:23,000 Speaker 2: he got sloppy, pat was all over. 552 00:28:23,560 --> 00:28:25,600 Speaker 1: I know that there is a hope among some law 553 00:28:25,640 --> 00:28:27,600 Speaker 1: enforcement that AI is only going to be able to 554 00:28:27,640 --> 00:28:31,119 Speaker 1: help with genetic genealogy, being able to call everything and 555 00:28:31,200 --> 00:28:34,960 Speaker 1: pull it together faster than these genealogists who have to 556 00:28:34,960 --> 00:28:37,440 Speaker 1: look through thousands and thousands of trees, and I can 557 00:28:37,480 --> 00:28:38,960 Speaker 1: only hope that that's going to be the case. 558 00:28:39,240 --> 00:28:41,920 Speaker 2: So yeah, I have talked to some genealogies who work 559 00:28:41,920 --> 00:28:44,560 Speaker 2: for police departments who have said that that that would 560 00:28:44,600 --> 00:28:48,480 Speaker 2: be that would speed up their work exponentially because they 561 00:28:48,560 --> 00:28:52,480 Speaker 2: had takes. Particularly if you're dealing with a suspect who 562 00:28:52,800 --> 00:28:56,440 Speaker 2: is from a remote community, or there's something called endogamy involved, 563 00:28:56,480 --> 00:28:59,560 Speaker 2: and that is typically seen where you have these closed 564 00:28:59,560 --> 00:29:04,520 Speaker 2: community where people are having children who there's not a 565 00:29:04,520 --> 00:29:07,200 Speaker 2: lot of genetic deviation, so you get a lot of 566 00:29:07,280 --> 00:29:09,840 Speaker 2: feedback loops sort of because you know you've got a 567 00:29:09,880 --> 00:29:12,880 Speaker 2: lot of cousins marrying each other for instance, and becomes confusing. 568 00:29:13,520 --> 00:29:16,600 Speaker 2: So yeah, ai would would sort that out pretty quickly. 569 00:29:17,000 --> 00:29:19,080 Speaker 2: I'm part of a group as well that uses sort 570 00:29:19,080 --> 00:29:21,000 Speaker 2: of an early version of ai AD is its a 571 00:29:21,000 --> 00:29:25,560 Speaker 2: computer algorithm to basically, we've created our own violent criminal 572 00:29:25,560 --> 00:29:28,680 Speaker 2: Apprehension program, and your listeners can go to a murder 573 00:29:28,760 --> 00:29:32,280 Speaker 2: data dot org where their Murder Accountability Project based out 574 00:29:32,280 --> 00:29:38,000 Speaker 2: of Metro DC, and every murder that's occurred really since 575 00:29:38,680 --> 00:29:42,600 Speaker 2: nineteen seventy four is in there. Then you can find 576 00:29:43,120 --> 00:29:44,880 Speaker 2: you can search by a year, you can search by 577 00:29:44,880 --> 00:29:46,800 Speaker 2: a police department, you can search by a murder weapon, 578 00:29:46,840 --> 00:29:49,719 Speaker 2: you can search by age of the victim. There's hundreds 579 00:29:49,720 --> 00:29:52,360 Speaker 2: of different search parameters. And what we've done is we 580 00:29:52,480 --> 00:29:57,360 Speaker 2: trained software to look for patterns in cities and counties 581 00:29:57,720 --> 00:30:02,000 Speaker 2: according to similar mo. That's the difference between the Murder 582 00:30:02,040 --> 00:30:05,120 Speaker 2: Cannability Project and ViCAP in that ViCAP only has about 583 00:30:05,160 --> 00:30:09,000 Speaker 2: forty percent of unsolved murders in there. We've got all 584 00:30:09,040 --> 00:30:12,680 Speaker 2: of them since nineteen seventy four. So we've found our 585 00:30:12,680 --> 00:30:14,800 Speaker 2: software has already found a couple of matches, and we've 586 00:30:14,880 --> 00:30:18,880 Speaker 2: alerted law enforcement to those links. One is an active 587 00:30:18,920 --> 00:30:23,400 Speaker 2: investigation in Chicago now fifty one connected strangulations that was 588 00:30:23,440 --> 00:30:25,760 Speaker 2: the subject of an ID series called The Hunt for 589 00:30:25,760 --> 00:30:28,800 Speaker 2: the Chicago Strangler that's ongoing. We found a match in 590 00:30:28,840 --> 00:30:31,520 Speaker 2: Cleveland that suspect was later arrested. We found a match 591 00:30:31,720 --> 00:30:35,960 Speaker 2: in Gary, Indiana, and he ended up being Darren dion Van, 592 00:30:36,520 --> 00:30:40,120 Speaker 2: a serial killer who admitted to the murders in Gary 593 00:30:40,640 --> 00:30:43,600 Speaker 2: that our software first linked to him before police did so. 594 00:30:43,640 --> 00:30:45,880 Speaker 1: I have a teacher true crime podcast course at the 595 00:30:45,960 --> 00:30:49,200 Speaker 1: University of Texas. I have them listen to a podcast 596 00:30:49,240 --> 00:30:52,920 Speaker 1: called Black Girl Gone, and the host did a two 597 00:30:52,960 --> 00:30:55,640 Speaker 1: parter on between two thousand and one and twenty eighteen, 598 00:30:55,720 --> 00:30:58,920 Speaker 1: fifty one women were found either strangled or aphixiated. That's it, right, 599 00:30:59,520 --> 00:31:01,480 Speaker 1: Tell me again, just because I know my class will 600 00:31:01,480 --> 00:31:04,040 Speaker 1: want to know, and probably our listeners. 601 00:31:03,720 --> 00:31:04,240 Speaker 3: Will want to know. 602 00:31:04,520 --> 00:31:07,440 Speaker 1: So were you saying that your database is making connections 603 00:31:07,480 --> 00:31:10,360 Speaker 1: between those fifty one because my understanding was, at least 604 00:31:10,400 --> 00:31:13,800 Speaker 1: from that podcast, which is still a couple of years old, 605 00:31:14,320 --> 00:31:16,960 Speaker 1: was that police were sort of refusing to believe that 606 00:31:17,120 --> 00:31:19,880 Speaker 1: these were all connected, and they were sort of dismissed, 607 00:31:20,120 --> 00:31:23,080 Speaker 1: many of them because they were black women or some 608 00:31:23,160 --> 00:31:24,080 Speaker 1: more sex workers. 609 00:31:24,160 --> 00:31:24,400 Speaker 3: You know. 610 00:31:24,800 --> 00:31:28,480 Speaker 2: Yeah, So we sent the chief of detectives a letter. 611 00:31:29,040 --> 00:31:32,560 Speaker 2: By twenty seventeen, when we our software determined that pattern 612 00:31:33,040 --> 00:31:37,040 Speaker 2: and I'm quoting, there is no active unidentified serial killer 613 00:31:37,080 --> 00:31:39,920 Speaker 2: in the city of Chicago. That was their response. And 614 00:31:39,960 --> 00:31:43,160 Speaker 2: then there was I think Vice Media did a story 615 00:31:43,360 --> 00:31:45,959 Speaker 2: you can probably still find online, and more and more 616 00:31:46,000 --> 00:31:48,440 Speaker 2: people were sort of talking. We sent further correspondence. They 617 00:31:48,440 --> 00:31:50,920 Speaker 2: brought in a new Chief of Detectives who then you 618 00:31:51,120 --> 00:31:54,520 Speaker 2: acknowledged that there was no denying that, and he then 619 00:31:54,520 --> 00:31:56,720 Speaker 2: also appears in that series, which is sort of the 620 00:31:57,040 --> 00:32:00,600 Speaker 2: first real investigative documentary into how that happened. So there 621 00:32:00,680 --> 00:32:02,959 Speaker 2: is there are some people of interest, and I can 622 00:32:03,000 --> 00:32:06,080 Speaker 2: tell you it's no longer a secret. Darren deon Van, 623 00:32:06,160 --> 00:32:09,080 Speaker 2: who I just mentioned, has admitted to being in Chicago 624 00:32:10,080 --> 00:32:14,080 Speaker 2: at times that correspond with those murders, And the thought 625 00:32:14,200 --> 00:32:17,240 Speaker 2: is is he responsible? Here's the weirdest thing of fifty 626 00:32:17,320 --> 00:32:22,320 Speaker 2: one No DNA, so we can't necessarily say they're all 627 00:32:22,360 --> 00:32:24,800 Speaker 2: one offender. So is he responsible for the black women? 628 00:32:24,840 --> 00:32:28,560 Speaker 2: Are we looking at a separate offender for the Latina victims. 629 00:32:29,120 --> 00:32:31,640 Speaker 2: There does not tend to be typically a lot of 630 00:32:31,720 --> 00:32:35,600 Speaker 2: variability with it in terms of age or ethnicity among 631 00:32:35,680 --> 00:32:38,320 Speaker 2: serial killers who tend to have a preferred victim type 632 00:32:38,360 --> 00:32:40,960 Speaker 2: and they don't deviate from that. So it could be 633 00:32:41,040 --> 00:32:43,240 Speaker 2: talking to two separate offenders, one of which may very 634 00:32:43,240 --> 00:32:46,320 Speaker 2: well be Darren deon Van. He's admitted also to killing 635 00:32:46,680 --> 00:32:50,520 Speaker 2: many other people and paraphrasing, but has numerous other victims 636 00:32:50,520 --> 00:32:51,040 Speaker 2: in Illinois. 637 00:32:51,120 --> 00:32:54,720 Speaker 1: He said, wow, okay, well let's get back to one 638 00:32:54,880 --> 00:32:56,800 Speaker 1: of Pat's cases. Well, this is probably going to be 639 00:32:56,840 --> 00:32:59,120 Speaker 1: our last one, and we want to talk about the 640 00:32:59,160 --> 00:33:01,480 Speaker 1: Restop murders, So tell me about that case. 641 00:33:02,080 --> 00:33:05,560 Speaker 2: So the rest stop murders were a series of trucking 642 00:33:05,600 --> 00:33:11,040 Speaker 2: related crimes at or near trucker rest stops in metro Nashville, 643 00:33:11,200 --> 00:33:16,840 Speaker 2: but as well as other areas suspected to be in Alabama, Indiana, Georgia, Illinois, 644 00:33:16,840 --> 00:33:20,840 Speaker 2: New Mexico, Oklahoma, and Texas. Because again we're dealing with 645 00:33:20,880 --> 00:33:23,840 Speaker 2: a nomadic commuter style killer. His name was Bruce Mendenhall, 646 00:33:25,040 --> 00:33:27,680 Speaker 2: and this was a real cat and mouse game that 647 00:33:28,120 --> 00:33:31,480 Speaker 2: he and Pat played, and in fact, after he was arrested, 648 00:33:31,800 --> 00:33:36,040 Speaker 2: he basically began plotting Pat's murder from prison. He tried 649 00:33:36,040 --> 00:33:38,040 Speaker 2: to get a hitman on the headside to take him out. 650 00:33:38,280 --> 00:33:40,040 Speaker 2: That's how unrelenting this guy was. 651 00:33:40,360 --> 00:33:43,280 Speaker 1: Well, tell me about what these cases were like, so 652 00:33:43,640 --> 00:33:46,320 Speaker 1: and tell me about Mendenholl and what we know about him, 653 00:33:46,480 --> 00:33:48,920 Speaker 1: and kind of what you know unfolds with these cases, 654 00:33:48,920 --> 00:33:51,800 Speaker 1: and then what gets Pat involved? What are the clues 655 00:33:51,840 --> 00:33:54,120 Speaker 1: that lead him to this being a serial killer? 656 00:33:54,480 --> 00:33:59,600 Speaker 2: Pat gets involved much like Michael Scott Magliolo because then 657 00:33:59,600 --> 00:34:04,240 Speaker 2: I was foolish enough to dump a body in his jurisdiction, 658 00:34:04,360 --> 00:34:06,440 Speaker 2: and then that puts him on the Pat's radar, and 659 00:34:06,440 --> 00:34:08,839 Speaker 2: then these other cases start coming into focus all over 660 00:34:08,840 --> 00:34:13,080 Speaker 2: the place. He's convicted of only two murders, but he's 661 00:34:13,080 --> 00:34:16,600 Speaker 2: suspected at least nine others. And basically his AMMO is 662 00:34:16,640 --> 00:34:21,200 Speaker 2: not unlike unfortunately, some other or at least four hundred 663 00:34:21,280 --> 00:34:24,239 Speaker 2: that we know because the FBI has created profiles for 664 00:34:24,320 --> 00:34:26,000 Speaker 2: them as part of what's known as the Highway Serial 665 00:34:26,040 --> 00:34:29,600 Speaker 2: Killing Initiative. At least four hundred other truckers have employed 666 00:34:29,680 --> 00:34:33,120 Speaker 2: a similar MO, where basically they lure women, often sex 667 00:34:33,160 --> 00:34:36,920 Speaker 2: trade workers, who are strolling rest stops, which is why 668 00:34:36,920 --> 00:34:39,480 Speaker 2: he's known as as the rest stop Killer, into the 669 00:34:39,480 --> 00:34:44,480 Speaker 2: truck and then murders them, drives into other locations and 670 00:34:44,560 --> 00:34:48,120 Speaker 2: dumps them, and his AMMO became increasingly sort of brutal. 671 00:34:48,160 --> 00:34:53,319 Speaker 2: Whereby the Nashville victim he had actually post mortem, she 672 00:34:53,360 --> 00:34:55,560 Speaker 2: had a tattoo on her body, and he cut it 673 00:34:55,600 --> 00:34:58,080 Speaker 2: out to keep it. A lot of people don't necessarily 674 00:34:58,120 --> 00:35:00,759 Speaker 2: know this distinction. A souvenir taken from a crime is 675 00:35:01,280 --> 00:35:05,200 Speaker 2: typically a personal item, so a piece of jewelry, the 676 00:35:05,360 --> 00:35:08,400 Speaker 2: victims driver's license, something to look at later, like as 677 00:35:08,600 --> 00:35:12,360 Speaker 2: a twisted trink at. A trophy is a living tissue, 678 00:35:12,960 --> 00:35:17,120 Speaker 2: so a lock of hair, an eyeball like Charles Aldridge, 679 00:35:17,160 --> 00:35:19,960 Speaker 2: the Dallas eyeball slayer from Texas. Maybe you know that case. 680 00:35:20,680 --> 00:35:23,480 Speaker 2: And then in this case he starts taking before he's 681 00:35:23,480 --> 00:35:27,200 Speaker 2: caught cutting out flesh containing a tattoo to preserve. 682 00:35:27,680 --> 00:35:29,320 Speaker 1: I want to go back. I was a little startled 683 00:35:29,360 --> 00:35:33,080 Speaker 1: by something you said. Did you say four hundred different 684 00:35:33,120 --> 00:35:37,440 Speaker 1: truck drivers have been suspected or convicted or whatever of 685 00:35:37,640 --> 00:35:38,480 Speaker 1: attacking women? 686 00:35:38,680 --> 00:35:39,200 Speaker 3: Is that right? 687 00:35:39,640 --> 00:35:43,319 Speaker 2: Four hundreds still out there? So this task force that 688 00:35:43,360 --> 00:35:46,399 Speaker 2: the FBI has looked at And there was a book 689 00:35:46,480 --> 00:35:48,920 Speaker 2: just published on this that I'm quoted in a fair 690 00:35:49,000 --> 00:35:52,959 Speaker 2: bit by a former FBI assistant director called long Haul 691 00:35:53,960 --> 00:35:56,160 Speaker 2: and it looks at a lot of these cases. So 692 00:35:56,200 --> 00:35:59,640 Speaker 2: there's four hundred plus UNSUBB profile. So there'll be a 693 00:35:59,640 --> 00:36:02,880 Speaker 2: group of murders that they can say these victims have 694 00:36:02,960 --> 00:36:05,960 Speaker 2: common characteristics, the crime scenes have common characteristics, and this 695 00:36:06,000 --> 00:36:09,479 Speaker 2: will be say offender unknown offender A. Then there's another 696 00:36:09,520 --> 00:36:11,720 Speaker 2: group of murders, say in another part of the country, 697 00:36:11,719 --> 00:36:14,920 Speaker 2: that they believe to be attributed to another offender, will 698 00:36:14,960 --> 00:36:18,000 Speaker 2: call that UNSUBB or offender B. And yeah, there's about 699 00:36:18,000 --> 00:36:20,560 Speaker 2: four hundred then separate people. They don't know who they are, 700 00:36:21,160 --> 00:36:25,440 Speaker 2: but their crimes have been sort of particularized by the 701 00:36:25,520 --> 00:36:26,920 Speaker 2: FBI in that fashion. 702 00:36:27,719 --> 00:36:31,800 Speaker 1: Where do you think the Israel keys type serial killer, 703 00:36:31,960 --> 00:36:35,799 Speaker 1: the long haul trucker type killer or serial killer, where 704 00:36:35,800 --> 00:36:39,200 Speaker 1: do they fit in with the theories of geographic profiling. 705 00:36:39,440 --> 00:36:41,600 Speaker 1: I mean, you know, these are not people who are 706 00:36:41,880 --> 00:36:45,200 Speaker 1: constrained to one area where they feel most comfortable, unless 707 00:36:45,200 --> 00:36:48,000 Speaker 1: we say it's a truck. But with keys, he just 708 00:36:48,080 --> 00:36:50,759 Speaker 1: I mean he was hiding backpacks and bundles all over 709 00:36:50,760 --> 00:36:53,279 Speaker 1: the place. He just seemed to be such an outlier. 710 00:36:53,640 --> 00:36:57,200 Speaker 2: Yeah, and that's the concern is we don't know what 711 00:36:57,280 --> 00:36:59,279 Speaker 2: we don't know. We don't know how many of these 712 00:36:59,800 --> 00:37:02,800 Speaker 2: highly nomadic again, commuter killers are out there. So the 713 00:37:02,880 --> 00:37:07,760 Speaker 2: term commuter offender is derived from the geographic profiling matrix 714 00:37:07,800 --> 00:37:11,680 Speaker 2: of the four types of offenders who navigate their space 715 00:37:11,840 --> 00:37:14,600 Speaker 2: according to a certain what we call psychogeography. I mean, 716 00:37:14,640 --> 00:37:16,759 Speaker 2: another really interesting one. I don't know if you've read 717 00:37:16,760 --> 00:37:19,839 Speaker 2: the book The Man from the Train, it's about the 718 00:37:19,880 --> 00:37:23,320 Speaker 2: first Israel piece. So Israel keys is the nomadic killer 719 00:37:23,360 --> 00:37:26,640 Speaker 2: and the age of commercial air travel. But Paul Miller, 720 00:37:26,680 --> 00:37:29,440 Speaker 2: who's the suspected murderer in this case. I mean, this 721 00:37:29,600 --> 00:37:32,080 Speaker 2: was a guy who just rode the rails like a hobo, 722 00:37:32,239 --> 00:37:34,440 Speaker 2: and wherever the train stopped, he would go in and 723 00:37:34,760 --> 00:37:37,160 Speaker 2: kill entire families with an AX. He's got victims all 724 00:37:37,160 --> 00:37:40,160 Speaker 2: over the US, and we're talking like late eighteen hundreds, 725 00:37:40,200 --> 00:37:43,640 Speaker 2: so that they had absolutely nothing to work with. And 726 00:37:43,840 --> 00:37:45,960 Speaker 2: there's LinkedIn now to murders back in Europe as well, 727 00:37:46,560 --> 00:37:49,760 Speaker 2: but that's just information that's sort of come to light now, 728 00:37:49,880 --> 00:37:53,319 Speaker 2: I mean one hundreds some years later, So we don't know. 729 00:37:53,640 --> 00:37:57,000 Speaker 2: I mean we just hope, like Mendenhall, that they make 730 00:37:57,040 --> 00:37:59,560 Speaker 2: a mistake in a jurisdiction where somebody's paying attention and 731 00:37:59,800 --> 00:38:02,440 Speaker 2: that they've got the curiosity then go looking for or 732 00:38:02,480 --> 00:38:05,520 Speaker 2: like Magliola, you know, he was tenacious about that, kept 733 00:38:05,600 --> 00:38:08,839 Speaker 2: checking the print knowing that somewhere sometime this guy would 734 00:38:08,840 --> 00:38:09,640 Speaker 2: it up in the system. 735 00:38:10,120 --> 00:38:12,200 Speaker 1: Now, what did Pat do with that case? When mendon 736 00:38:12,239 --> 00:38:14,600 Speaker 1: Hall and the rest stop was that fingerprinting? 737 00:38:14,640 --> 00:38:17,040 Speaker 2: Also there's a combination of techniques, But this is really 738 00:38:17,120 --> 00:38:19,360 Speaker 2: the climax of the book in that he drove a 739 00:38:19,520 --> 00:38:24,480 Speaker 2: very unique truck, like a canary yellow truck that stood 740 00:38:24,480 --> 00:38:26,960 Speaker 2: out and there was some witnesses you could describe the truck. 741 00:38:27,080 --> 00:38:31,520 Speaker 2: And Pat is driving down the highway one day outside 742 00:38:31,600 --> 00:38:35,640 Speaker 2: Nashville and it passes him, and he turns around and 743 00:38:35,719 --> 00:38:40,400 Speaker 2: pulls them over, and it basically finds there's blood in 744 00:38:40,440 --> 00:38:42,759 Speaker 2: there and finds what we call like a rape kit 745 00:38:42,880 --> 00:38:43,520 Speaker 2: or a kill kit. 746 00:38:43,600 --> 00:38:46,160 Speaker 1: Oh my god, you've got to be kidding me. I mean, 747 00:38:46,480 --> 00:38:47,920 Speaker 1: you know, I was thinking about this. You're going to 748 00:38:48,000 --> 00:38:50,040 Speaker 1: not think this is the perfect analogy, I bet, But 749 00:38:50,600 --> 00:38:53,080 Speaker 1: do you feel like you carry on Pat's work? I mean, 750 00:38:53,120 --> 00:38:56,640 Speaker 1: it's such a big scale though, with the database that 751 00:38:56,719 --> 00:38:59,399 Speaker 1: you all have created where you are trying to make 752 00:38:59,400 --> 00:39:01,840 Speaker 1: these connections, and of course you're using different types of 753 00:39:01,840 --> 00:39:06,440 Speaker 1: technology really pooling together almost like kind of crowdsourcing. Pat 754 00:39:06,480 --> 00:39:08,319 Speaker 1: was doing it at a smaller level, but still in 755 00:39:08,520 --> 00:39:11,359 Speaker 1: such an effective way. I mean, it's still working off 756 00:39:11,400 --> 00:39:12,240 Speaker 1: instinct too. 757 00:39:12,480 --> 00:39:16,160 Speaker 2: Working off instinct understanding that it's a big country. These 758 00:39:16,200 --> 00:39:20,200 Speaker 2: people again often defy conventional wisdom about serial killers that 759 00:39:20,239 --> 00:39:23,879 Speaker 2: they don't just stick to a certain hunting territory. So 760 00:39:24,080 --> 00:39:27,480 Speaker 2: we're seeing through these cases criminal I don't use the 761 00:39:27,520 --> 00:39:31,600 Speaker 2: rump criminal profile, the criminal analytics coming of age. Where 762 00:39:31,640 --> 00:39:36,000 Speaker 2: these cases reflect are microcosms of an improved understanding of 763 00:39:36,440 --> 00:39:40,000 Speaker 2: how what makes these sicicos tick that was occurring at 764 00:39:40,000 --> 00:39:42,200 Speaker 2: the same time in other fields, like in the academia 765 00:39:42,320 --> 00:39:44,800 Speaker 2: or you know, at the highest levels and at the FBI. 766 00:39:45,280 --> 00:39:47,480 Speaker 2: And he's actually out there on the street, you know, 767 00:39:47,560 --> 00:39:50,520 Speaker 2: doing this and by the time he catches Mendon Hall 768 00:39:50,880 --> 00:39:54,040 Speaker 2: at the wheel and opens up Badgism and gets his 769 00:39:54,120 --> 00:39:58,520 Speaker 2: door open, they find three hundred items in there. Rifle, knives, handcuffs, gloves, 770 00:39:58,760 --> 00:40:01,520 Speaker 2: you know, black tape, night stick, sex toys, DNA of 771 00:40:01,560 --> 00:40:04,799 Speaker 2: five different women and again, we don't necessarily know who 772 00:40:04,840 --> 00:40:07,880 Speaker 2: some of those women are. So well, he's been all 773 00:40:07,920 --> 00:40:10,680 Speaker 2: over the place with this kill kit, and he gets 774 00:40:10,680 --> 00:40:12,480 Speaker 2: them in the truck and they're never seen again. 775 00:40:12,800 --> 00:40:14,680 Speaker 1: The more that I talk to authors like you and 776 00:40:14,719 --> 00:40:17,440 Speaker 1: work with you know, Paul Hols, who helped solve the 777 00:40:17,440 --> 00:40:20,799 Speaker 1: Golden State killer case, the more I learn about what 778 00:40:20,920 --> 00:40:22,520 Speaker 1: I don't know about serial killers. 779 00:40:22,520 --> 00:40:24,160 Speaker 3: And I think a lot of us probably feel like that. 780 00:40:24,560 --> 00:40:28,480 Speaker 1: Paul does not believe in the serial killer triad, you know, 781 00:40:28,520 --> 00:40:31,880 Speaker 1: bed wedding and fire starting and the harming animals. Now, 782 00:40:31,880 --> 00:40:34,040 Speaker 1: he said, the harming animals is a big one, but 783 00:40:34,160 --> 00:40:38,000 Speaker 1: then he said maybe some credence in the setting fires, 784 00:40:38,040 --> 00:40:40,719 Speaker 1: but he said the bed wedding is like a non 785 00:40:40,800 --> 00:40:44,400 Speaker 1: starter for him. I will say this, I had always 786 00:40:44,440 --> 00:40:48,080 Speaker 1: believed that when a serial killer stops killing, either he 787 00:40:48,200 --> 00:40:51,240 Speaker 1: moved and we haven't made that connection, or he died, 788 00:40:51,840 --> 00:40:54,120 Speaker 1: or he's in prison and there was no DNA to 789 00:40:54,200 --> 00:40:57,799 Speaker 1: run against it. It never occurred to me until I 790 00:40:57,840 --> 00:41:00,960 Speaker 1: read about the Golden State killer case that sometimes these 791 00:41:01,000 --> 00:41:04,120 Speaker 1: guys kind of age out, they stop for whatever reason. 792 00:41:04,120 --> 00:41:05,799 Speaker 1: And then I talked to an author who said, well, 793 00:41:06,000 --> 00:41:08,680 Speaker 1: life changes for them. They'll get married, they have kids, 794 00:41:08,680 --> 00:41:11,880 Speaker 1: something happens, and something changes, And I guess I've always 795 00:41:11,960 --> 00:41:15,160 Speaker 1: just thought this was an overwhelming sense of I've got 796 00:41:15,200 --> 00:41:18,600 Speaker 1: to continue doing this until I die, and that doesn't 797 00:41:18,600 --> 00:41:20,920 Speaker 1: seem to be the case for everyone. So it teaches 798 00:41:20,960 --> 00:41:21,600 Speaker 1: me a lesson. 799 00:41:22,000 --> 00:41:24,520 Speaker 2: Yeah, so, first of all, Paul's right. The McDonald triad 800 00:41:24,719 --> 00:41:28,680 Speaker 2: as it's known, has been widely discredited. I mean, maybe 801 00:41:28,760 --> 00:41:31,399 Speaker 2: bed wedding is correlated with some serial killers, but it's 802 00:41:31,400 --> 00:41:34,520 Speaker 2: not causative. And it maybe correlated because the thought actually 803 00:41:34,640 --> 00:41:38,160 Speaker 2: is that childhood trauma is what leads to the development 804 00:41:38,200 --> 00:41:42,239 Speaker 2: of what are known as paraphilias, which are the disordered 805 00:41:42,320 --> 00:41:46,600 Speaker 2: erotic attachments to often violent things. You can think of 806 00:41:46,640 --> 00:41:50,680 Speaker 2: some conditions that end in philia that that person may 807 00:41:50,680 --> 00:41:54,520 Speaker 2: be pretty dangerous, but they accumulate these over the lifetime 808 00:41:54,560 --> 00:41:56,640 Speaker 2: and that's where fire starting comes in. So fire starting 809 00:41:56,680 --> 00:42:00,680 Speaker 2: maybe pyrophilics or an arousal from starting fires that then 810 00:42:00,800 --> 00:42:04,319 Speaker 2: leads to them exploring other ways of other fetishism that 811 00:42:04,320 --> 00:42:06,440 Speaker 2: they end up actually then hurting people, and then it 812 00:42:06,520 --> 00:42:10,279 Speaker 2: becomes hurting people is a sex act. But yeah, I mean, 813 00:42:10,360 --> 00:42:13,200 Speaker 2: Dennis Rayder summed up the fact that you know this 814 00:42:13,280 --> 00:42:16,560 Speaker 2: isn't necessarily a purely linear trajectory, and they don't stop. 815 00:42:16,600 --> 00:42:19,280 Speaker 2: He said he would have liked to have kept killing people, 816 00:42:19,360 --> 00:42:22,080 Speaker 2: but he just got too busy. Yeah, that his kids 817 00:42:22,080 --> 00:42:23,960 Speaker 2: got to an age where he's running them around and 818 00:42:24,160 --> 00:42:26,920 Speaker 2: things were busy at work, and so he didn't have 819 00:42:26,960 --> 00:42:29,520 Speaker 2: time for his hobby anymore. The same as somebody you 820 00:42:29,520 --> 00:42:31,759 Speaker 2: know doesn't get on the bike or get out on 821 00:42:31,760 --> 00:42:33,279 Speaker 2: the golf course as much as they used to. Like 822 00:42:33,280 --> 00:42:36,040 Speaker 2: it's a stranger comparison, but that's really what this is 823 00:42:36,080 --> 00:42:41,000 Speaker 2: to them, and they ultimately can't perform at the pace 824 00:42:41,120 --> 00:42:42,000 Speaker 2: that they used to. 825 00:42:42,440 --> 00:42:44,839 Speaker 1: It's pretty incredible learning. All of this tell me the 826 00:42:44,880 --> 00:42:47,640 Speaker 1: rest of Pat's story. How long does he run this 827 00:42:47,680 --> 00:42:50,240 Speaker 1: cold case squad in Nashville. 828 00:42:49,760 --> 00:42:52,480 Speaker 2: By the early two thousands, late nineties, early two thousands, 829 00:42:52,800 --> 00:42:56,239 Speaker 2: and this is consistent with other police departments across the board. 830 00:42:56,239 --> 00:43:00,120 Speaker 2: As soon as DNA becomes a thing, so Cotis the 831 00:43:00,239 --> 00:43:03,200 Speaker 2: US goes online in ninety eight. In Canada ninety nine, 832 00:43:03,520 --> 00:43:07,120 Speaker 2: this is really where cold case units start to crystallize, 833 00:43:07,160 --> 00:43:09,680 Speaker 2: because now they have a tool. Rather than just look 834 00:43:09,719 --> 00:43:12,120 Speaker 2: through old boxes and come up with new hunches, now 835 00:43:12,120 --> 00:43:14,719 Speaker 2: they have a tool where they can start testing exhibits 836 00:43:14,760 --> 00:43:18,520 Speaker 2: against and that's where the salts start coming in at 837 00:43:18,520 --> 00:43:22,440 Speaker 2: a new pace. And so by the early two thousands, 838 00:43:22,520 --> 00:43:26,239 Speaker 2: much like elsewhere, the Metro cold case unit is up 839 00:43:26,239 --> 00:43:28,640 Speaker 2: and running officially, you know, it's sort of been unofficial 840 00:43:29,120 --> 00:43:31,840 Speaker 2: under his wing. And then he retires, you know, a 841 00:43:31,880 --> 00:43:34,000 Speaker 2: short time later and leaves it in good hands. And 842 00:43:34,040 --> 00:43:36,279 Speaker 2: he went on to work for the District Attorney's office 843 00:43:36,320 --> 00:43:38,239 Speaker 2: as an investigator, and then he's also now got his 844 00:43:38,280 --> 00:43:40,120 Speaker 2: own show on investigation Discovery. 845 00:43:40,400 --> 00:43:42,759 Speaker 3: Wow, he must be very proud of this book. 846 00:43:42,800 --> 00:43:45,640 Speaker 2: I'm assuming, yeah, you know what, we lost touch, but 847 00:43:46,040 --> 00:43:48,960 Speaker 2: I'd like to think, you know, as a pretty faithful 848 00:43:49,320 --> 00:43:53,360 Speaker 2: summation of his life's work and his contributions to cold cases. 849 00:43:53,400 --> 00:43:55,680 Speaker 2: And he's the first thing. He's a humble guy, and 850 00:43:55,680 --> 00:43:57,040 Speaker 2: he's the first to say, like, you know, he had 851 00:43:57,040 --> 00:43:59,399 Speaker 2: a great team, and he did, but you know, every 852 00:43:59,480 --> 00:44:03,360 Speaker 2: team needs needs a strong leader, and certainly he was 853 00:44:03,400 --> 00:44:04,160 Speaker 2: that well. 854 00:44:04,200 --> 00:44:06,280 Speaker 1: And I think, you know, in a time period where 855 00:44:06,440 --> 00:44:10,000 Speaker 1: I certainly think the public questions the integrity of the police, 856 00:44:10,440 --> 00:44:12,920 Speaker 1: it's nice to read a story where you have a 857 00:44:13,120 --> 00:44:14,120 Speaker 1: person who is not. 858 00:44:14,160 --> 00:44:15,080 Speaker 3: Letting cases go. 859 00:44:15,520 --> 00:44:18,080 Speaker 1: They could be decades old and he still thinks about 860 00:44:18,080 --> 00:44:21,319 Speaker 1: these cases, and he still sees the value. And you know, 861 00:44:21,360 --> 00:44:23,200 Speaker 1: I think you and I both certainly wish that more 862 00:44:23,360 --> 00:44:27,759 Speaker 1: investigators either have given the resources where they can investigate 863 00:44:27,800 --> 00:44:31,480 Speaker 1: these cases, or you know, really really became passionate about it, 864 00:44:31,520 --> 00:44:33,800 Speaker 1: because these stories do matter, even if all the players 865 00:44:33,800 --> 00:44:34,240 Speaker 1: are gone. 866 00:44:34,400 --> 00:44:35,600 Speaker 3: You know, the stories do matter. 867 00:44:35,960 --> 00:44:38,279 Speaker 2: The stories do matter. You're right, And I mean to 868 00:44:38,360 --> 00:44:41,319 Speaker 2: quote another I think I make the comparisons in the book, 869 00:44:41,360 --> 00:44:45,440 Speaker 2: but to quote another legendary albeit fictional, cold case investigator, 870 00:44:45,440 --> 00:44:50,960 Speaker 2: Harry Bosh, Michael Connolly's character and his motto is everybody 871 00:44:51,000 --> 00:44:53,239 Speaker 2: counts or nobody counts. So you don't get to pick 872 00:44:53,280 --> 00:44:56,000 Speaker 2: and choose your cases. These all deserve to be solved. 873 00:44:56,600 --> 00:45:00,120 Speaker 2: And like I said, I'm hopeful, with between AI and 874 00:45:00,200 --> 00:45:03,120 Speaker 2: investigative genetic genealogy, that the term Col's case will be 875 00:45:03,120 --> 00:45:04,400 Speaker 2: obsolete in our lifetime. 876 00:45:15,640 --> 00:45:18,560 Speaker 1: If you love historical true crime stories, check out the 877 00:45:18,600 --> 00:45:21,480 Speaker 1: audio versions of my books The Ghost Club, All That 878 00:45:21,600 --> 00:45:24,799 Speaker 1: Is Wicked, and American Sherlock. And don't forget There are 879 00:45:24,920 --> 00:45:28,680 Speaker 1: twelve seasons of my historical true crime podcast, Tenfold More 880 00:45:28,680 --> 00:45:32,360 Speaker 1: Wicked right here in this podcast feed, scroll back and 881 00:45:32,400 --> 00:45:34,360 Speaker 1: give them a listen if you haven't already. 882 00:45:34,800 --> 00:45:36,960 Speaker 3: This has been an exactly right production. 883 00:45:37,320 --> 00:45:41,520 Speaker 1: Our senior producer is Alexis Mrosi. Our associate producer is 884 00:45:41,600 --> 00:45:42,759 Speaker 1: Christina Chamberlain. 885 00:45:43,160 --> 00:45:46,759 Speaker 3: This episode was mixed by John Bradley. Curtis Heath is 886 00:45:46,760 --> 00:45:49,360 Speaker 3: our composer, artwork by Nick Toga. 887 00:45:49,440 --> 00:45:53,920 Speaker 1: Executive produced by Georgia Hardstark, Karen Kilgarriff and Danielle Kramer. 888 00:45:54,160 --> 00:45:58,319 Speaker 1: Follow Wicked Words on Instagram at tenfold More Wicked and 889 00:45:58,360 --> 00:46:00,800 Speaker 1: on Facebook at Wicked World Birds Pod