1 00:00:06,320 --> 00:00:06,680 Speaker 1: Novel. 2 00:00:10,080 --> 00:00:10,360 Speaker 2: Hello. 3 00:00:10,640 --> 00:00:14,440 Speaker 3: I'm Annasinfield, the producer of The Girlfriends, and I'm here 4 00:00:14,560 --> 00:00:17,160 Speaker 3: taking over the mic because I wanted to do something 5 00:00:17,239 --> 00:00:19,640 Speaker 3: that's very close to my heart and the philosophy of 6 00:00:19,680 --> 00:00:24,920 Speaker 3: the show. When we set out to make The Girlfriends, 7 00:00:25,000 --> 00:00:29,040 Speaker 3: I insisted on providing concrete resources for any listeners who 8 00:00:29,080 --> 00:00:32,320 Speaker 3: may relate to the hard topics that we cover. It's 9 00:00:32,320 --> 00:00:35,640 Speaker 3: why we always partner with relevant charities, So if you're 10 00:00:35,640 --> 00:00:38,880 Speaker 3: triggered or inspired by something we've mentioned, you've got somewhere 11 00:00:38,960 --> 00:00:42,640 Speaker 3: legitimate to go for advice. But I've also done a 12 00:00:42,680 --> 00:00:44,960 Speaker 3: lot of behind the scenes work to make sure that 13 00:00:45,000 --> 00:00:47,640 Speaker 3: we actually know what we're talking about. You know, from 14 00:00:47,640 --> 00:00:52,680 Speaker 3: boots on the ground reporting, intensive investigations, and countless conversations 15 00:00:52,720 --> 00:00:56,320 Speaker 3: with experts, you probably only hear about one percent of 16 00:00:56,360 --> 00:00:58,440 Speaker 3: the things that I get to learn during the production 17 00:00:58,560 --> 00:00:59,639 Speaker 3: of the podcast, and. 18 00:00:59,640 --> 00:01:00,920 Speaker 2: I want to pass some of it on. 19 00:01:03,360 --> 00:01:07,360 Speaker 3: So let me introduce you to The Girlfriend's Guide, a 20 00:01:07,400 --> 00:01:10,199 Speaker 3: mini series where I lay out how you can solve 21 00:01:10,240 --> 00:01:14,559 Speaker 3: crimes and keep your girlfriends safe. We'll dive back into 22 00:01:14,560 --> 00:01:17,800 Speaker 3: our archive of never heard before interviews, break down real 23 00:01:17,840 --> 00:01:21,360 Speaker 3: life case studies, and give tangible tips on how you 24 00:01:21,400 --> 00:01:24,399 Speaker 3: can do it yourself. Oh and just a quick heads up, 25 00:01:24,640 --> 00:01:27,000 Speaker 3: we'll be discussing murder and acts of violence in this 26 00:01:27,080 --> 00:01:32,960 Speaker 3: episode from the teams at Novel and iHeart Podcasts. You're 27 00:01:33,000 --> 00:01:37,680 Speaker 3: listening to The Girlfriend's Guide, Episode one, How to Identify 28 00:01:37,840 --> 00:01:54,200 Speaker 3: a dough. I feel like I need to say something 29 00:01:54,240 --> 00:01:57,600 Speaker 3: before we kick off. It's not normal for an everyday 30 00:01:57,640 --> 00:02:01,920 Speaker 3: person to attempt to identify a dough, but lately I've 31 00:02:01,960 --> 00:02:04,920 Speaker 3: noticed that more and more citizen sleuths are plugging the 32 00:02:04,960 --> 00:02:09,440 Speaker 3: gaps left behind by law enforcements, dwindling resources, or, let's 33 00:02:09,480 --> 00:02:17,040 Speaker 3: face it, lack of interest. It is estimated that four 34 00:02:17,160 --> 00:02:21,240 Speaker 3: hundred unidentified bodies are found each year in the United States, 35 00:02:21,880 --> 00:02:25,160 Speaker 3: and around one thousand of those people are still unidentified 36 00:02:25,280 --> 00:02:30,440 Speaker 3: a year later, which means, sadly, cases build up and 37 00:02:30,480 --> 00:02:35,640 Speaker 3: get forgotten. Today, there are over fourteen thousand unidentified bodies 38 00:02:35,639 --> 00:02:38,560 Speaker 3: on NamUs, which is the US database for missing and 39 00:02:38,720 --> 00:02:43,400 Speaker 3: unidentified people. Giving someone back their name is important. We 40 00:02:43,480 --> 00:02:46,120 Speaker 3: spoke about that a lot on the Girlfriends But before 41 00:02:46,120 --> 00:02:48,080 Speaker 3: we get stuck in, I want to ask you to 42 00:02:48,160 --> 00:02:52,040 Speaker 3: act with caution. Identifying someone who's been resigned to a 43 00:02:52,080 --> 00:02:55,440 Speaker 3: cold case is obviously a very caring and hard thing to. 44 00:02:55,400 --> 00:02:57,080 Speaker 2: Do when you don't know who they are. 45 00:02:57,800 --> 00:03:01,400 Speaker 3: But the fact is someone does at some point along 46 00:03:01,400 --> 00:03:03,880 Speaker 3: the way, you might be tempted to contact their family 47 00:03:04,000 --> 00:03:07,080 Speaker 3: and friends to help connect the dots for you. This 48 00:03:07,200 --> 00:03:10,000 Speaker 3: may have become a challenge to be solved, but every 49 00:03:10,040 --> 00:03:13,040 Speaker 3: new hope or reminder can be devastating for the people 50 00:03:13,080 --> 00:03:16,560 Speaker 3: on the other side, So tread lightly on people's lives. 51 00:03:18,160 --> 00:03:20,560 Speaker 3: Something you need to ask yourself is why am I 52 00:03:20,639 --> 00:03:25,200 Speaker 3: doing this? And that is a really complex ethical question. Ultimately, 53 00:03:25,320 --> 00:03:27,760 Speaker 3: you just have to be considerate, think about if it's 54 00:03:27,760 --> 00:03:31,080 Speaker 3: appropriate to approach victims' families, and also then how you 55 00:03:31,080 --> 00:03:35,840 Speaker 3: would do it Instead, I'd recommend approaching the authorities first 56 00:03:36,240 --> 00:03:38,520 Speaker 3: so they can help you prove the connection before the 57 00:03:38,560 --> 00:03:46,560 Speaker 3: family is informed. All Right, ethics briefly covered, let's get 58 00:03:46,600 --> 00:03:50,840 Speaker 3: to it. So if you do find yourself interested in 59 00:03:50,840 --> 00:03:54,440 Speaker 3: a case involving an unidentified person, what do you do 60 00:03:55,040 --> 00:03:58,880 Speaker 3: and how do you identify them? Let's use an example 61 00:03:58,880 --> 00:04:00,960 Speaker 3: that I've come to know really well well, the case 62 00:04:01,000 --> 00:04:04,360 Speaker 3: of Heidie Bulch from season two of The Girlfriends. If 63 00:04:04,360 --> 00:04:06,640 Speaker 3: you listen to the series, then you know that Heidi 64 00:04:06,840 --> 00:04:10,360 Speaker 3: was identified twenty four years after her remains were discovered, 65 00:04:10,920 --> 00:04:13,760 Speaker 3: but for a long time, the detectives really only had 66 00:04:13,760 --> 00:04:16,680 Speaker 3: the information from the initial police reports to go off, 67 00:04:17,040 --> 00:04:18,480 Speaker 3: which reads like some. 68 00:04:18,279 --> 00:04:19,800 Speaker 2: Sort of murder mystery novel. 69 00:04:21,880 --> 00:04:24,440 Speaker 3: Here is my Canadian friend pretending to be an American 70 00:04:24,480 --> 00:04:27,000 Speaker 3: detective reading a summation of the police report. 71 00:04:28,279 --> 00:04:32,760 Speaker 4: March nineteen eighty nine, two golfers discover a woman's head 72 00:04:32,800 --> 00:04:36,160 Speaker 4: on a golf course in Hopewell Township, New Jersey, sixty 73 00:04:36,200 --> 00:04:39,680 Speaker 4: five miles down from New York. A short while later, 74 00:04:39,880 --> 00:04:43,240 Speaker 4: her legs were discovered in a wooded area sixty five 75 00:04:43,320 --> 00:04:47,599 Speaker 4: miles away. A post mortem confirms that she was white, 76 00:04:47,920 --> 00:04:52,640 Speaker 4: blond hair, blue eyes, and matching blue eyeshadow line. She 77 00:04:52,720 --> 00:04:56,919 Speaker 4: has a couple of distinctive features, including a maul and scars. 78 00:04:57,360 --> 00:05:01,520 Speaker 4: Her estimated age is around twenty to thirty. The legs 79 00:05:01,600 --> 00:05:05,800 Speaker 4: are officially linked to the head via DNA analysis. No 80 00:05:06,000 --> 00:05:07,760 Speaker 4: arms or torso are found. 81 00:05:09,320 --> 00:05:11,919 Speaker 3: In the first few weeks of the investigation into what 82 00:05:11,960 --> 00:05:15,440 Speaker 3: would one day be known as Heidi's remains, the detectives 83 00:05:15,520 --> 00:05:20,360 Speaker 3: tried everything. They put out nationwide requests asking for information 84 00:05:20,520 --> 00:05:22,160 Speaker 3: on any missing person. 85 00:05:21,839 --> 00:05:23,000 Speaker 2: That would fit her description. 86 00:05:23,640 --> 00:05:27,640 Speaker 3: They made flyers, they held press conferences, interviewed families of 87 00:05:27,680 --> 00:05:29,839 Speaker 3: people who thought the remains could belong. 88 00:05:29,640 --> 00:05:31,080 Speaker 2: To their loved one. 89 00:05:31,200 --> 00:05:34,240 Speaker 3: Those were the textbook things that detectives would do back 90 00:05:34,279 --> 00:05:36,760 Speaker 3: in the eighties when working on a live case with 91 00:05:36,800 --> 00:05:40,880 Speaker 3: an unidentified body and an unknown killer. But none of 92 00:05:40,880 --> 00:05:48,719 Speaker 3: it worked and eventually the case went cold. By the 93 00:05:48,760 --> 00:05:51,400 Speaker 3: time the case was reopened in the twenty tens, there 94 00:05:51,400 --> 00:05:54,760 Speaker 3: were new options available, and that is when things really 95 00:05:54,800 --> 00:05:58,640 Speaker 3: started to heat up. An incredibly useful new resource available 96 00:05:58,680 --> 00:06:03,159 Speaker 3: to the investigators the National Missing and Unidentified Person's System 97 00:06:03,560 --> 00:06:05,400 Speaker 3: aka NamUs in the States. 98 00:06:06,000 --> 00:06:06,520 Speaker 2: Me and my. 99 00:06:06,480 --> 00:06:10,120 Speaker 3: Assistant producer Maddie use this a lot on the Girlfriends, 100 00:06:10,960 --> 00:06:15,640 Speaker 3: and Maddie is brilliantly wonderfully here joining me to explain 101 00:06:15,839 --> 00:06:18,040 Speaker 3: how you can also use NAMOUS to help with the 102 00:06:18,120 --> 00:06:18,679 Speaker 3: Doe case. 103 00:06:19,200 --> 00:06:21,600 Speaker 2: So, hey, Maddie, Hello Anna, Thanks. 104 00:06:21,400 --> 00:06:25,320 Speaker 3: For having me tell me about NamUs. What actually is it? 105 00:06:25,400 --> 00:06:31,080 Speaker 5: First of all, so NamUs is this amazingly vast database 106 00:06:31,400 --> 00:06:35,960 Speaker 5: in the US which includes the profiles of every currently 107 00:06:36,160 --> 00:06:41,080 Speaker 5: reported missing person and also every unidentified body. What's great 108 00:06:41,120 --> 00:06:45,200 Speaker 5: about NamUs is that it's used by government agencies like 109 00:06:45,560 --> 00:06:48,280 Speaker 5: the police and detectives, but also. 110 00:06:48,160 --> 00:06:49,440 Speaker 1: Anyone can access it. 111 00:06:49,800 --> 00:06:52,839 Speaker 5: So if you are looking to identify your own dough, 112 00:06:53,160 --> 00:06:55,640 Speaker 5: this is an incredibly useful resource for you too. 113 00:06:56,440 --> 00:06:59,640 Speaker 3: So what does it actually look like as a normal 114 00:06:59,720 --> 00:07:02,039 Speaker 3: service and just accessing this online? 115 00:07:02,240 --> 00:07:02,960 Speaker 2: What do you see? 116 00:07:03,160 --> 00:07:06,440 Speaker 5: What you're going to see is thousands and thousands of 117 00:07:06,880 --> 00:07:13,240 Speaker 5: profiles listed under missing people or on the unidentified body section. 118 00:07:13,840 --> 00:07:17,680 Speaker 5: It's basically a way of cataloging the profiles of every 119 00:07:17,680 --> 00:07:18,720 Speaker 5: single one of these people. 120 00:07:19,600 --> 00:07:24,360 Speaker 3: And so you kind of would search via location, age, 121 00:07:24,480 --> 00:07:25,120 Speaker 3: that sort of thing. 122 00:07:25,400 --> 00:07:26,080 Speaker 1: Yeah, that's right. 123 00:07:26,120 --> 00:07:28,720 Speaker 5: There's actually lots of different things. You can search by 124 00:07:29,040 --> 00:07:32,320 Speaker 5: date that people went missing, date that body was found, 125 00:07:32,840 --> 00:07:38,720 Speaker 5: estimated age, race, gender, So any small details that you 126 00:07:38,800 --> 00:07:40,760 Speaker 5: do have about your dough is something that you can 127 00:07:40,880 --> 00:07:41,440 Speaker 5: enter on there. 128 00:07:42,040 --> 00:07:47,080 Speaker 3: And I think the idea is that every single unidentified case, 129 00:07:47,280 --> 00:07:49,680 Speaker 3: every single missing person's case, is meant to be listed. 130 00:07:50,120 --> 00:07:53,920 Speaker 3: Are there any instances when that doesn't happen? Theoretically No, 131 00:07:54,720 --> 00:07:58,440 Speaker 3: Every missing person who has been reported as missing will 132 00:07:58,440 --> 00:08:02,320 Speaker 3: be on there, and every unidentified dough will be on there. 133 00:08:03,440 --> 00:08:06,520 Speaker 3: An exception to this, and it's something that actually happened 134 00:08:06,560 --> 00:08:09,480 Speaker 3: in The Girlfriends Season two when we were looking for 135 00:08:09,560 --> 00:08:12,920 Speaker 3: our dough. We couldn't find a matching profile on NAMOUS 136 00:08:13,800 --> 00:08:16,520 Speaker 3: and this really confused us for a while, but it 137 00:08:16,560 --> 00:08:20,120 Speaker 3: was actually a massive clue. Basically, if someone's not listed 138 00:08:20,160 --> 00:08:23,120 Speaker 3: on there, it probably means that they have been identified. 139 00:08:23,680 --> 00:08:27,000 Speaker 2: Mmm, I know, I wish we knew that much much 140 00:08:27,000 --> 00:08:27,560 Speaker 2: earlier on. 141 00:08:28,120 --> 00:08:30,360 Speaker 5: Yeah, we definitely thought maybe we were going crazy and 142 00:08:30,400 --> 00:08:33,000 Speaker 5: not searching it well enough. But no, that's another clue 143 00:08:33,040 --> 00:08:35,240 Speaker 5: that you can definitely include in your investigation. 144 00:08:35,840 --> 00:08:38,720 Speaker 3: And so you've got things like this government resource name US. 145 00:08:39,160 --> 00:08:43,560 Speaker 3: But there's also other databases for missing people and unidentified people, 146 00:08:43,600 --> 00:08:44,160 Speaker 3: aren't there? 147 00:08:44,679 --> 00:08:45,440 Speaker 1: Yeah, there are. 148 00:08:45,480 --> 00:08:50,560 Speaker 5: There are a bunch of independent volunteer run projects like 149 00:08:50,640 --> 00:08:54,599 Speaker 5: the dough Network that we partnered with the Charlie Project. 150 00:08:55,120 --> 00:08:59,520 Speaker 5: There's also databases that focus on more specific groups of people, 151 00:09:00,080 --> 00:09:02,319 Speaker 5: like LGBTQ plus databases. 152 00:09:02,520 --> 00:09:03,760 Speaker 1: There's one for people of color. 153 00:09:04,360 --> 00:09:06,960 Speaker 5: And these have really been set up, I think in 154 00:09:07,000 --> 00:09:12,040 Speaker 5: response to some of the inaction that comes from government 155 00:09:12,080 --> 00:09:15,600 Speaker 5: agencies to serve a specific group which maybe hasn't got 156 00:09:15,600 --> 00:09:18,800 Speaker 5: the attention that they deserve from government resources. 157 00:09:19,160 --> 00:09:23,600 Speaker 3: Also in some cases just not having the expertise from 158 00:09:23,600 --> 00:09:29,360 Speaker 3: the communities involved to identify things that could be clear clues. Yeah, totally, 159 00:09:29,559 --> 00:09:33,360 Speaker 3: like someone's sexual orientation might not be listed on their 160 00:09:33,440 --> 00:09:38,200 Speaker 3: names missing profile, but that's something that could lead to 161 00:09:38,320 --> 00:09:44,200 Speaker 3: other clues about who they were. But what if you 162 00:09:44,240 --> 00:09:48,200 Speaker 3: can't find the doe's information on these databases just like us, 163 00:09:48,600 --> 00:09:51,079 Speaker 3: or you think there might be more information out there, 164 00:09:51,679 --> 00:09:54,280 Speaker 3: or perhaps you think you know who it could be 165 00:09:54,640 --> 00:09:57,280 Speaker 3: and you want to request extra information on their case. 166 00:09:59,040 --> 00:10:03,040 Speaker 3: Well that's when you can deploy every journalist's favorite tool, 167 00:10:03,840 --> 00:10:06,200 Speaker 3: the Freedom of Information Act request. 168 00:10:07,720 --> 00:10:09,040 Speaker 2: After the break, we'll. 169 00:10:08,800 --> 00:10:11,640 Speaker 3: Tell you all about how to access information from the 170 00:10:11,679 --> 00:10:14,720 Speaker 3: authorities that just might solve your case. 171 00:10:32,920 --> 00:10:36,719 Speaker 5: Fifth of December twenty twenty two. Hi, there, I'm a 172 00:10:36,800 --> 00:10:39,400 Speaker 5: journalist from the UK and I'm wondering if you might 173 00:10:39,440 --> 00:10:41,760 Speaker 5: be able to help me find out some information about 174 00:10:41,760 --> 00:10:43,720 Speaker 5: a body that was discovered. 175 00:10:43,160 --> 00:10:43,959 Speaker 1: In nineteen eight. 176 00:10:44,080 --> 00:10:47,640 Speaker 5: Fourth of January twenty twenty three, Hi, I hope you've 177 00:10:47,679 --> 00:10:50,200 Speaker 5: had a lovely holidays and a happy new year. I'm 178 00:10:50,240 --> 00:10:53,640 Speaker 5: just wondering if you've got anywhere with tracking down those records. 179 00:10:54,800 --> 00:11:00,240 Speaker 5: Ninth of January twenty twenty four did happy new year again. 180 00:11:01,120 --> 00:11:03,080 Speaker 5: I'm writing to let you know that it has now 181 00:11:03,120 --> 00:11:06,040 Speaker 5: been over a year since my initial request was sent 182 00:11:06,080 --> 00:11:08,720 Speaker 5: to you on the fifth of December twenty twenty two, 183 00:11:09,160 --> 00:11:11,880 Speaker 5: and we are yet to receive any progress at all 184 00:11:11,960 --> 00:11:12,800 Speaker 5: on these records. 185 00:11:13,559 --> 00:11:14,400 Speaker 1: Nothing's world. 186 00:11:15,920 --> 00:11:18,200 Speaker 3: So, Maddie, that was a clip of you from season 187 00:11:18,240 --> 00:11:21,320 Speaker 3: two getting really annoyed at the medical examiners for not 188 00:11:21,400 --> 00:11:24,800 Speaker 3: responding to your Freedom of Information Act request. It's fair 189 00:11:24,840 --> 00:11:27,680 Speaker 3: to say you've filed a lot and also you've had 190 00:11:27,720 --> 00:11:31,080 Speaker 3: to deal with being disappointed a lot. How many times 191 00:11:31,080 --> 00:11:33,200 Speaker 3: do you think you've done a for a request for 192 00:11:33,240 --> 00:11:34,280 Speaker 3: the girlfriends alone? 193 00:11:34,559 --> 00:11:35,559 Speaker 2: Yeah, that really was. 194 00:11:35,520 --> 00:11:40,040 Speaker 5: The tip of the iceberg, I think from my calculations. 195 00:11:40,080 --> 00:11:44,280 Speaker 5: In total, I filed about forty four freedom of information 196 00:11:44,360 --> 00:11:47,319 Speaker 5: requests and some of those were obviously the medical Examiner, 197 00:11:47,720 --> 00:11:52,000 Speaker 5: but then a lot of them were the NYPD, various courts, 198 00:11:52,120 --> 00:11:55,320 Speaker 5: the district attorney, basically anyone I could think of that 199 00:11:55,440 --> 00:11:56,240 Speaker 5: might have information. 200 00:11:57,160 --> 00:11:59,800 Speaker 3: It was amazing we got so much information based off 201 00:11:59,800 --> 00:12:02,120 Speaker 3: these for requests. I mean, I'd like, I don't think 202 00:12:02,160 --> 00:12:04,960 Speaker 3: we would have solved this case if it wasn't for 203 00:12:05,000 --> 00:12:05,840 Speaker 3: all of your foyers. 204 00:12:05,880 --> 00:12:09,320 Speaker 2: So you like really saved the day there. Oh, thanks, Nna. 205 00:12:09,480 --> 00:12:12,560 Speaker 5: That makes me feel better about the hours I've sunk 206 00:12:12,600 --> 00:12:13,160 Speaker 5: into this. 207 00:12:13,400 --> 00:12:14,520 Speaker 2: And the amount of moaning. 208 00:12:14,880 --> 00:12:16,520 Speaker 1: Oh, yeah, yeah, yeahah. 209 00:12:16,240 --> 00:12:20,600 Speaker 3: But I was thinking feoyer is something that's really standard 210 00:12:20,840 --> 00:12:22,920 Speaker 3: kind of bread and butter stuff for us, and it's 211 00:12:22,960 --> 00:12:24,760 Speaker 3: something that a lot of people probably have heard of, 212 00:12:24,920 --> 00:12:27,240 Speaker 3: but they maybe don't know what it actually is. 213 00:12:27,320 --> 00:12:28,920 Speaker 2: So could you break that down for the listeners. 214 00:12:29,640 --> 00:12:29,880 Speaker 1: Yeah. 215 00:12:29,960 --> 00:12:34,880 Speaker 5: So, FEYER stands for Freedom of Information Act. Sometimes it's 216 00:12:34,880 --> 00:12:37,480 Speaker 5: called FOIL as well, and then its freedom of information 217 00:12:37,720 --> 00:12:41,679 Speaker 5: law has been in place since nineteen sixty seven, and 218 00:12:41,800 --> 00:12:45,079 Speaker 5: it means that the public have a right to request 219 00:12:45,280 --> 00:12:50,480 Speaker 5: access to records from any federal agency, and those federal 220 00:12:50,559 --> 00:12:55,720 Speaker 5: agencies have to disclose any information requested unless it falls 221 00:12:56,000 --> 00:12:59,839 Speaker 5: under one of the nine exemptions, which protect things like 222 00:13:00,440 --> 00:13:03,880 Speaker 5: personal information or obviously national security. 223 00:13:04,200 --> 00:13:06,400 Speaker 2: That's fair enough, Yeah, it's fair enough. 224 00:13:06,520 --> 00:13:09,360 Speaker 5: It's described as a law that keeps citizens in the 225 00:13:09,400 --> 00:13:11,160 Speaker 5: know about their governments. 226 00:13:11,200 --> 00:13:15,280 Speaker 3: In what context can that be useful in the identification 227 00:13:15,320 --> 00:13:16,040 Speaker 3: of a dough. 228 00:13:16,120 --> 00:13:19,400 Speaker 5: To put it really simply, when you're trying to identify someone, 229 00:13:19,760 --> 00:13:22,880 Speaker 5: the more information you have about them, the more likely 230 00:13:22,880 --> 00:13:25,600 Speaker 5: you are to figure out who they are. And FOIL 231 00:13:25,679 --> 00:13:28,960 Speaker 5: requests are really good way of accessing more information that 232 00:13:29,000 --> 00:13:34,440 Speaker 5: wouldn't be immediately available on the Internet or elsewhere. So specifically, 233 00:13:34,559 --> 00:13:37,040 Speaker 5: there are some very useful things you could look for, 234 00:13:37,679 --> 00:13:42,160 Speaker 5: like post mortem records or medical examiner records in general 235 00:13:42,480 --> 00:13:45,040 Speaker 5: could tell you more about how someone died and give 236 00:13:45,120 --> 00:13:49,200 Speaker 5: other clues based on their estimated age or their medical records. 237 00:13:50,040 --> 00:13:52,400 Speaker 1: Police reports can also be really interesting. 238 00:13:52,960 --> 00:13:56,880 Speaker 5: We managed to access a trove of police files from 239 00:13:56,880 --> 00:13:59,600 Speaker 5: the time that Heidi's body parts were found and she 240 00:13:59,720 --> 00:14:02,640 Speaker 5: was being treated as Jane Doe, and you just never 241 00:14:02,720 --> 00:14:04,720 Speaker 5: know what kind of clues you might get with something 242 00:14:04,800 --> 00:14:07,839 Speaker 5: like that. In those reports, we found out that Heidi 243 00:14:07,920 --> 00:14:11,160 Speaker 5: was wearing blue eyeshadow when she was found, and this 244 00:14:11,200 --> 00:14:13,960 Speaker 5: could be something that we could ask someone who knew 245 00:14:14,000 --> 00:14:16,280 Speaker 5: her and they could confirm that that's something she always wore, 246 00:14:16,320 --> 00:14:19,160 Speaker 5: for example. And it also allows you to see what 247 00:14:19,520 --> 00:14:23,360 Speaker 5: investigating might have already been done by law enforcement, so 248 00:14:23,400 --> 00:14:27,680 Speaker 5: then you can pull together your information with theirs and 249 00:14:27,760 --> 00:14:30,160 Speaker 5: see which leads you could follow next. 250 00:14:31,120 --> 00:14:33,800 Speaker 3: This all sounds like obviously amazing in theory, but I 251 00:14:33,840 --> 00:14:36,040 Speaker 3: think when I first started out as a journalist, the 252 00:14:36,160 --> 00:14:38,600 Speaker 3: idea of doing a foyer felt like a sort of 253 00:14:39,120 --> 00:14:43,040 Speaker 3: mystical beast, and I wasn't quite sure how I should 254 00:14:43,040 --> 00:14:48,120 Speaker 3: be approaching it. So how do you literally file a 255 00:14:48,200 --> 00:14:49,040 Speaker 3: foyer request. 256 00:14:49,840 --> 00:14:52,880 Speaker 5: It depends a lot on the department that you're requesting 257 00:14:52,920 --> 00:14:56,760 Speaker 5: information for, Okay, but there often are forms on a 258 00:14:56,760 --> 00:15:01,119 Speaker 5: website that are pretty straightforward and easy to follow an email. 259 00:15:01,600 --> 00:15:03,680 Speaker 5: If you're unsure, the best thing you can do is 260 00:15:03,760 --> 00:15:06,760 Speaker 5: call up a records department at the institution you're trying 261 00:15:06,760 --> 00:15:10,800 Speaker 5: to get information from and ask a nice person to 262 00:15:11,440 --> 00:15:13,920 Speaker 5: talk you through it slowly as if you're very stupid, 263 00:15:14,440 --> 00:15:17,080 Speaker 5: which is something that happened to me on multiple occasions, 264 00:15:18,320 --> 00:15:21,600 Speaker 5: has probably led to the success of us getting this information. 265 00:15:21,960 --> 00:15:23,760 Speaker 3: I think like the big takeaway that I want to 266 00:15:23,760 --> 00:15:26,640 Speaker 3: make sure everyone has is that the point of foyers 267 00:15:26,680 --> 00:15:31,000 Speaker 3: is that they are so that normal people can, as 268 00:15:31,280 --> 00:15:33,800 Speaker 3: I think you said earlier, sort of like know what's 269 00:15:33,840 --> 00:15:37,880 Speaker 3: happening in government. And so I think what I'd really 270 00:15:37,960 --> 00:15:40,200 Speaker 3: like to instill in people is that it isn't some 271 00:15:40,240 --> 00:15:44,520 Speaker 3: sort of elitist exercise to file a foyer. It's something 272 00:15:44,560 --> 00:15:47,280 Speaker 3: that in theory, everybody should be able to do, and 273 00:15:47,400 --> 00:15:49,920 Speaker 3: it's your right to do. It's your right exactly. 274 00:15:50,160 --> 00:15:55,040 Speaker 5: Having said that, there are definitely some hurdles in getting 275 00:15:55,080 --> 00:15:57,080 Speaker 5: information from foyer requests. 276 00:15:58,200 --> 00:15:59,640 Speaker 2: A huge one is. 277 00:16:00,080 --> 00:16:01,600 Speaker 1: The timeframe that they can take. 278 00:16:02,400 --> 00:16:05,520 Speaker 5: It definitely varies by location and institution, but it can 279 00:16:05,560 --> 00:16:09,000 Speaker 5: sometimes take six months just to get a response. And 280 00:16:09,040 --> 00:16:13,560 Speaker 5: also what you can access is obviously limited. Often with 281 00:16:13,760 --> 00:16:17,520 Speaker 5: medical examiners records. For example, the full post mortem can 282 00:16:17,560 --> 00:16:20,200 Speaker 5: only be accessed by a relative of the deceased person, 283 00:16:20,760 --> 00:16:23,640 Speaker 5: which of course makes things really hard when you don't 284 00:16:23,680 --> 00:16:28,160 Speaker 5: even know who the person is. And whilst it's frustrating 285 00:16:28,200 --> 00:16:30,440 Speaker 5: that there's a lot you can't access, it's for really 286 00:16:30,480 --> 00:16:34,240 Speaker 5: good reason. But you just never know what you're going 287 00:16:34,280 --> 00:16:36,560 Speaker 5: to get back once you send a request, so it's 288 00:16:36,720 --> 00:16:40,240 Speaker 5: always always worth filing them just to see. And the 289 00:16:40,320 --> 00:16:43,840 Speaker 5: feeling of waiting six months to hear if you've got 290 00:16:43,880 --> 00:16:46,440 Speaker 5: access to some records and then seeing something in your 291 00:16:46,440 --> 00:16:50,320 Speaker 5: inbox is truly the greatest thrill I can imagine. 292 00:16:50,640 --> 00:16:53,440 Speaker 3: Yeah, but also, you know, we're talking about kind of 293 00:16:53,640 --> 00:16:56,600 Speaker 3: sloothing around online if you think that something's a live 294 00:16:56,760 --> 00:16:59,560 Speaker 3: case or whatever. I think there's a lot of slothing 295 00:16:59,600 --> 00:17:03,160 Speaker 3: around online and in kind of archival resources that we 296 00:17:03,240 --> 00:17:06,480 Speaker 3: do things that kind of don't require foroyers. You know. 297 00:17:06,680 --> 00:17:10,040 Speaker 3: The very specific example bringing it back to Heidi is 298 00:17:10,080 --> 00:17:14,160 Speaker 3: that her case was actually eventually solved in part because 299 00:17:14,320 --> 00:17:17,199 Speaker 3: the serial killer, Joel Rifkin, confessed to the murder in 300 00:17:17,240 --> 00:17:21,080 Speaker 3: a book years later. And so you never know when 301 00:17:21,119 --> 00:17:23,680 Speaker 3: that stuff's going to appear or if it's already out there, 302 00:17:23,680 --> 00:17:25,120 Speaker 3: and you just need to kind of look for it. 303 00:17:25,200 --> 00:17:27,800 Speaker 3: And so we did a lot of that, didn't we we' 304 00:17:27,840 --> 00:17:31,439 Speaker 3: gleaned lots of information from articles and forums. Maddie, do 305 00:17:31,480 --> 00:17:33,920 Speaker 3: you have any tips for how people can use the web. 306 00:17:34,280 --> 00:17:38,320 Speaker 5: It definitely involves a lot of lurking around on random websites. 307 00:17:39,920 --> 00:17:42,760 Speaker 5: The first thing is, if it's a contemporary case, there'll 308 00:17:42,760 --> 00:17:45,960 Speaker 5: probably be some articles about it online and those will 309 00:17:45,960 --> 00:17:47,040 Speaker 5: be easy to access. 310 00:17:47,520 --> 00:17:48,320 Speaker 1: If it's a bit. 311 00:17:48,200 --> 00:17:51,760 Speaker 5: Older, you might want to search on an online newspaper database. 312 00:17:52,520 --> 00:17:56,800 Speaker 5: These are quite often behind payballs, but most libraries tend 313 00:17:56,840 --> 00:17:59,800 Speaker 5: to let you use theirs for free. And then we 314 00:18:00,040 --> 00:18:03,359 Speaker 5: looked in some really random places and found some quite 315 00:18:03,440 --> 00:18:07,959 Speaker 5: useful information. Forums can be good. I remember we found 316 00:18:08,080 --> 00:18:11,120 Speaker 5: a message on a forum from years ago of someone 317 00:18:11,480 --> 00:18:14,080 Speaker 5: who said that they knew Heidi and were friends with her, 318 00:18:14,400 --> 00:18:16,840 Speaker 5: and that gave us some information about where we think 319 00:18:16,920 --> 00:18:21,440 Speaker 5: Heidi lived. But also Reddit is amazing. I love readit 320 00:18:21,560 --> 00:18:27,560 Speaker 5: so much. And once we finished season one, we actually 321 00:18:27,600 --> 00:18:30,520 Speaker 5: found a group of people on Reddit discussing who they 322 00:18:30,600 --> 00:18:34,400 Speaker 5: thought the torso might be. So it's a great way 323 00:18:34,440 --> 00:18:38,520 Speaker 5: to pull your information with other people. If you are 324 00:18:38,560 --> 00:18:41,680 Speaker 5: looking into this case, there is a really good chance 325 00:18:41,800 --> 00:18:45,159 Speaker 5: that someone else's and teaming together is only going to 326 00:18:45,160 --> 00:18:47,640 Speaker 5: give you more information and make your case stronger. 327 00:18:48,200 --> 00:18:51,120 Speaker 3: As you know if you listen to our second season, 328 00:18:51,320 --> 00:18:54,280 Speaker 3: when Joel Rifkin admitted to Heidie's murder, he named the 329 00:18:54,359 --> 00:18:58,400 Speaker 3: dough as Susie, and that meant that suddenly the detectives 330 00:18:58,440 --> 00:19:01,760 Speaker 3: had something to cling onto, so they started searching for 331 00:19:01,920 --> 00:19:07,040 Speaker 3: missing persons reports and arrest reports for somebody called Susie. Ultimately, 332 00:19:07,160 --> 00:19:09,760 Speaker 3: this led them to finding a mugshot for a woman 333 00:19:09,880 --> 00:19:12,920 Speaker 3: called Susan Spencer that looked very similar to their. 334 00:19:12,760 --> 00:19:14,240 Speaker 2: Dough, Maddie. 335 00:19:14,359 --> 00:19:17,880 Speaker 3: That's a very convoluted way of going about this, but 336 00:19:17,920 --> 00:19:20,600 Speaker 3: that's often the way when it comes to unidentified cases. 337 00:19:21,200 --> 00:19:23,600 Speaker 3: Are there any similar techniques that we could use to 338 00:19:23,600 --> 00:19:24,560 Speaker 3: help identify a dough? 339 00:19:25,760 --> 00:19:29,960 Speaker 5: Yeah, definitely. I think NamUs again is really useful for this. 340 00:19:30,960 --> 00:19:35,720 Speaker 5: If you have an unidentified person, there's a quite high 341 00:19:35,840 --> 00:19:40,480 Speaker 5: likelihood that that person is missing from someone else and 342 00:19:41,080 --> 00:19:44,160 Speaker 5: hopefully they will have reported them as missing, so there 343 00:19:44,160 --> 00:19:47,840 Speaker 5: should be a profile on NamUs for that missing person. 344 00:19:48,600 --> 00:19:51,240 Speaker 5: And what you can do is take the information you 345 00:19:51,280 --> 00:19:54,600 Speaker 5: have about your dough, like when they were suspected to 346 00:19:54,640 --> 00:19:59,200 Speaker 5: have died, how old they are, their gender, their race, 347 00:20:00,040 --> 00:20:03,719 Speaker 5: and put those into a search of missing people and 348 00:20:03,760 --> 00:20:06,400 Speaker 5: see if anyone matches or it could be a possible 349 00:20:06,440 --> 00:20:09,240 Speaker 5: candidate for your dough. And you might not find just 350 00:20:09,280 --> 00:20:11,760 Speaker 5: one person who's an exact match, but it might come 351 00:20:11,840 --> 00:20:14,199 Speaker 5: up with a list of names that you can then 352 00:20:14,280 --> 00:20:15,120 Speaker 5: work to rule out. 353 00:20:16,119 --> 00:20:18,119 Speaker 3: But you've got to be flexible as well, don't you, 354 00:20:18,160 --> 00:20:20,760 Speaker 3: in a bit like creative about it, because you know, 355 00:20:20,880 --> 00:20:25,600 Speaker 3: sometimes people will have really changed since they were registered 356 00:20:25,600 --> 00:20:28,320 Speaker 3: as a missing person, or they might have traveled to 357 00:20:28,400 --> 00:20:31,840 Speaker 3: a state that the person who filed that missing person's 358 00:20:31,880 --> 00:20:34,240 Speaker 3: report had no idea of and stuff like that. 359 00:20:34,880 --> 00:20:37,960 Speaker 5: So with all these searches, it could get you closer 360 00:20:38,000 --> 00:20:40,360 Speaker 5: and it could give you ideas of who it could be, 361 00:20:40,880 --> 00:20:43,200 Speaker 5: but definitely take. 362 00:20:43,000 --> 00:20:44,560 Speaker 1: It with a pinch of salt and keep a very 363 00:20:44,640 --> 00:20:45,280 Speaker 1: open mind. 364 00:20:46,600 --> 00:20:49,639 Speaker 3: And then I guess the next thing is that sometimes 365 00:20:49,680 --> 00:20:53,119 Speaker 3: none of this works right, And that's something that happened 366 00:20:53,119 --> 00:20:55,680 Speaker 3: to us when we were trying to identify the Jane 367 00:20:55,720 --> 00:20:58,760 Speaker 3: Doe who ended up being Heidi from season one. We 368 00:20:58,920 --> 00:21:02,119 Speaker 3: kept reaching these dead and so at one point I 369 00:21:02,160 --> 00:21:06,760 Speaker 3: went full obsessive journalists and I started looking into killers 370 00:21:06,800 --> 00:21:09,840 Speaker 3: from the time to see if I could match the 371 00:21:09,960 --> 00:21:12,840 Speaker 3: case of our Jane Doe, you know how she was killed, 372 00:21:12,920 --> 00:21:15,760 Speaker 3: her age, and see if it matched up with a 373 00:21:15,840 --> 00:21:18,919 Speaker 3: killer's m o at points. In order to do this, 374 00:21:19,040 --> 00:21:21,680 Speaker 3: I even had a phone call with the criminal profiler. 375 00:21:22,359 --> 00:21:25,480 Speaker 3: And actually, what was kind of neat is I had 376 00:21:25,480 --> 00:21:28,000 Speaker 3: that phone call with a criminal profiler. They told me 377 00:21:28,040 --> 00:21:30,360 Speaker 3: a bunch of stuff, and then we received the Hope 378 00:21:30,400 --> 00:21:33,879 Speaker 3: Well police report where they also had got the FBI 379 00:21:33,960 --> 00:21:36,680 Speaker 3: to create a profile of the killer back in nineteen 380 00:21:36,720 --> 00:21:40,480 Speaker 3: eighty nine. And you got particularly into this, didn't you. 381 00:21:41,280 --> 00:21:45,840 Speaker 1: I found this fascinating. Yeah, they asked. 382 00:21:45,480 --> 00:21:48,320 Speaker 5: The FBI Behavioral Science Unit to create a profile of 383 00:21:48,359 --> 00:21:52,040 Speaker 5: the killer very early on in their investigation, where they 384 00:21:52,119 --> 00:21:55,480 Speaker 5: had so little to go on other than Heidi and 385 00:21:55,520 --> 00:21:58,840 Speaker 5: the state that she was found in. And what's really 386 00:21:58,960 --> 00:22:02,800 Speaker 5: really crazy about this now knowing about Joel Rifkin and 387 00:22:02,840 --> 00:22:07,160 Speaker 5: who he is, the details are a really close. So 388 00:22:07,240 --> 00:22:10,679 Speaker 5: some of the characteristics that they predicted this person would have. 389 00:22:11,400 --> 00:22:15,520 Speaker 5: They'd be a white male in their twenties or thirties, single, 390 00:22:15,880 --> 00:22:19,720 Speaker 5: living alone. They may have an occupation which involves travel, 391 00:22:20,160 --> 00:22:25,520 Speaker 5: like sales, a truck driver, or construction. They're educated, and 392 00:22:25,560 --> 00:22:28,000 Speaker 5: this is the one that actually gives me chills. They 393 00:22:28,040 --> 00:22:30,520 Speaker 5: may not have killed before, but they will kill again. 394 00:22:32,080 --> 00:22:35,679 Speaker 3: Yeah, and I mean, obviously we now know that Heidi 395 00:22:35,880 --> 00:22:39,480 Speaker 3: was the first of what is predicted to have been 396 00:22:39,720 --> 00:22:42,080 Speaker 3: seventeen victims. 397 00:22:42,440 --> 00:22:45,879 Speaker 5: Yeah, it's true, but it's also a really interesting and 398 00:22:46,000 --> 00:22:49,360 Speaker 5: useful way of looking at a case like this to 399 00:22:49,400 --> 00:22:52,360 Speaker 5: turn your attention to when you've reached a dead end 400 00:22:52,480 --> 00:22:55,359 Speaker 5: trying to look at information about the victim, to try 401 00:22:55,359 --> 00:22:57,159 Speaker 5: and think if you can find the person who did it, 402 00:22:57,200 --> 00:22:59,159 Speaker 5: and if that would help you identify this person. 403 00:22:59,400 --> 00:23:01,280 Speaker 3: Do you have kind of any other tips when it 404 00:23:01,320 --> 00:23:05,360 Speaker 3: comes to foyers and getting that sort of information from 405 00:23:05,400 --> 00:23:07,320 Speaker 3: authorities or I guess even the web. 406 00:23:07,640 --> 00:23:11,679 Speaker 5: I would say my biggest tip is persistence. It's not 407 00:23:11,880 --> 00:23:15,080 Speaker 5: an easy and it's not a quick process, and you 408 00:23:15,119 --> 00:23:18,560 Speaker 5: will reach a lot of dead ends and rejections, but 409 00:23:18,720 --> 00:23:21,679 Speaker 5: it is so worth it for the small glimmers of 410 00:23:21,680 --> 00:23:23,040 Speaker 5: information that you do get. 411 00:23:24,040 --> 00:23:26,320 Speaker 1: I would also say, befriend people. 412 00:23:26,840 --> 00:23:28,800 Speaker 5: What you're coming up against is often a lot of 413 00:23:28,800 --> 00:23:32,000 Speaker 5: bureaucracy and a lot of people who, even though your 414 00:23:32,040 --> 00:23:34,920 Speaker 5: interest in this case is huge and finding out details 415 00:23:34,960 --> 00:23:37,320 Speaker 5: is really important to you, is just one of a 416 00:23:37,359 --> 00:23:40,120 Speaker 5: million other things they're doing. So if you can get 417 00:23:40,160 --> 00:23:43,760 Speaker 5: a friend on the inside or someone who recognizes who 418 00:23:43,840 --> 00:23:46,199 Speaker 5: you are and will help you, that's also going to 419 00:23:46,200 --> 00:23:47,040 Speaker 5: be really useful. 420 00:23:47,600 --> 00:23:50,720 Speaker 3: Yeah, and just always send that extra email to the 421 00:23:50,760 --> 00:23:59,240 Speaker 3: medical examiners. Okay, so we're at the point in the 422 00:23:59,240 --> 00:24:02,680 Speaker 3: investigation where you hopefully have a hunch as to who 423 00:24:02,720 --> 00:24:05,800 Speaker 3: your dough might be, like the Hopeworld detectives when they 424 00:24:05,840 --> 00:24:09,800 Speaker 3: discovered Susie Spencer's arrest report. When you make that connection, 425 00:24:10,240 --> 00:24:12,879 Speaker 3: like Maddie said, it is honestly one of the best 426 00:24:13,000 --> 00:24:17,000 Speaker 3: and most exciting feelings in the world. But what do 427 00:24:17,040 --> 00:24:20,720 Speaker 3: you do now and how do you prove it? That's 428 00:24:20,760 --> 00:24:42,239 Speaker 3: after the break, so you think you know who your 429 00:24:42,280 --> 00:24:46,119 Speaker 3: dough is, but proving it is an entirely different ballgame. 430 00:24:46,760 --> 00:24:49,359 Speaker 3: The first port of call is to contact the agency 431 00:24:49,600 --> 00:24:52,200 Speaker 3: like the police department who's handling the doe case and 432 00:24:52,359 --> 00:24:56,439 Speaker 3: the missing person's case if there is one. Maddie, how 433 00:24:56,440 --> 00:24:57,560 Speaker 3: do you go about doing that. 434 00:24:58,160 --> 00:24:59,880 Speaker 5: The first thing to do would be look at name 435 00:25:00,400 --> 00:25:03,320 Speaker 5: and see if there is a detective or an agency 436 00:25:03,359 --> 00:25:06,520 Speaker 5: attached to the case, and there should also hopefully be 437 00:25:06,600 --> 00:25:10,320 Speaker 5: contact details, or you can just look at what jurisdiction 438 00:25:10,880 --> 00:25:13,440 Speaker 5: your case should probably come under, and then contact someone 439 00:25:13,480 --> 00:25:16,240 Speaker 5: at the police station there. A big tip for this 440 00:25:16,520 --> 00:25:20,520 Speaker 5: is when you do it, try and get someone's name 441 00:25:21,240 --> 00:25:23,679 Speaker 5: or someone that will check back in with you if 442 00:25:23,720 --> 00:25:26,920 Speaker 5: there are any new developments. Having a contact like that 443 00:25:27,040 --> 00:25:29,199 Speaker 5: means that you'll probably be able to stay updated on 444 00:25:29,240 --> 00:25:30,320 Speaker 5: the case, and that. 445 00:25:30,440 --> 00:25:31,560 Speaker 1: Was just more likely to help you. 446 00:25:32,200 --> 00:25:34,679 Speaker 3: So once you've spoken to the detectives in charge of 447 00:25:34,720 --> 00:25:37,159 Speaker 3: the case, you do kind of need to leave it 448 00:25:37,200 --> 00:25:40,320 Speaker 3: with them and hope that they look into it. Detectives 449 00:25:40,359 --> 00:25:43,640 Speaker 3: will then investigate it further and if they think it's viable, 450 00:25:43,800 --> 00:25:46,359 Speaker 3: they can compare the DNA of the dough with a 451 00:25:46,400 --> 00:25:49,919 Speaker 3: family member of the missing person. This is actually what 452 00:25:49,960 --> 00:25:52,720 Speaker 3: the Hopeworld detectives did after they figured out that the 453 00:25:52,800 --> 00:25:56,080 Speaker 3: arrest record they found of Susan Spencer was actually listed 454 00:25:56,160 --> 00:25:59,920 Speaker 3: under a false name. They instead matched up the mugshot 455 00:26:00,119 --> 00:26:03,400 Speaker 3: with a missing person's photo of Heidi Bulch and then 456 00:26:03,440 --> 00:26:06,919 Speaker 3: they track down Heidie's family and compare the family's DNA 457 00:26:07,320 --> 00:26:09,760 Speaker 3: with the remains they found on the Hope Well golf 458 00:26:09,800 --> 00:26:13,640 Speaker 3: course in nineteen eighty nine. But there is another similar 459 00:26:13,720 --> 00:26:16,920 Speaker 3: route that deploys the use of DNA, and that's called 460 00:26:17,200 --> 00:26:22,800 Speaker 3: complicatedly genetic genealogy. Maddie, What does that actually mean and 461 00:26:22,840 --> 00:26:24,600 Speaker 3: how can you use it to identify a dough? 462 00:26:25,200 --> 00:26:30,720 Speaker 5: Put simply, genetic genealogy is the combination of genetic analysis, 463 00:26:30,840 --> 00:26:35,040 Speaker 5: so looking at DNA and the study of family trees, 464 00:26:35,720 --> 00:26:40,520 Speaker 5: and then using pretty standard historical investigation to find out 465 00:26:40,520 --> 00:26:41,160 Speaker 5: more about that. 466 00:26:41,960 --> 00:26:45,399 Speaker 3: Okay, So if you were to kind of apply that 467 00:26:45,480 --> 00:26:49,320 Speaker 3: to an actual situation, So say you've found a dough, 468 00:26:50,040 --> 00:26:52,440 Speaker 3: what would people then do to try and study that 469 00:26:52,600 --> 00:26:54,879 Speaker 3: in a genetic genealogy sort of context. 470 00:26:55,400 --> 00:26:58,560 Speaker 5: So what you could do is take the DNA data 471 00:26:58,760 --> 00:27:02,280 Speaker 5: from the dough and then enter it into a website 472 00:27:02,359 --> 00:27:05,440 Speaker 5: like twenty three in meters or another one of those 473 00:27:05,680 --> 00:27:09,960 Speaker 5: big genetic databases, and then you can see if there's 474 00:27:09,960 --> 00:27:14,360 Speaker 5: any matches. Obviously, in a dream world, a perfect match 475 00:27:14,359 --> 00:27:17,280 Speaker 5: with a parent would immediately appear and then you could 476 00:27:17,359 --> 00:27:20,840 Speaker 5: contact that person maybe and you have identified them, but 477 00:27:21,040 --> 00:27:22,000 Speaker 5: it could be a sibling. 478 00:27:22,600 --> 00:27:24,120 Speaker 1: It could be a very distant relative. 479 00:27:24,440 --> 00:27:26,920 Speaker 5: But what it might do is start to build out 480 00:27:26,920 --> 00:27:29,920 Speaker 5: a family tree, which you can then investigate through other 481 00:27:30,359 --> 00:27:33,960 Speaker 5: resources and get closer and closer to identifying who this 482 00:27:34,040 --> 00:27:34,560 Speaker 5: person is. 483 00:27:35,640 --> 00:27:38,000 Speaker 3: I mean that sounds amazing, the idea that you can 484 00:27:38,080 --> 00:27:40,720 Speaker 3: just put some DNA data in and then, you know, 485 00:27:40,920 --> 00:27:44,199 Speaker 3: pop outcomes a bunch of relatives and you whittle your 486 00:27:44,240 --> 00:27:48,359 Speaker 3: way down into identifying the person. Other benefits outside of that, 487 00:27:48,400 --> 00:27:50,760 Speaker 3: you must get a lot of information from DNA. 488 00:27:50,880 --> 00:27:54,160 Speaker 5: I think it can really help with narrowing down locations 489 00:27:54,160 --> 00:27:58,760 Speaker 5: that they're from. Further, might help you identify their ancestral homeland. 490 00:27:59,600 --> 00:28:02,040 Speaker 5: I mean the dream is that there are living relatives 491 00:28:02,160 --> 00:28:04,119 Speaker 5: and that they're people happy to speak to you, or 492 00:28:04,119 --> 00:28:06,320 Speaker 5: their people who you could find out more about and 493 00:28:06,320 --> 00:28:08,040 Speaker 5: then find out the identity of your dough. 494 00:28:08,400 --> 00:28:10,800 Speaker 3: I guess one of the big downsides is that you 495 00:28:10,880 --> 00:28:13,840 Speaker 3: can only work with what's in the system, can't you. 496 00:28:13,960 --> 00:28:18,679 Speaker 3: It really relies on people having put their DNA data 497 00:28:18,760 --> 00:28:20,800 Speaker 3: into the system in the first place, so that there 498 00:28:20,800 --> 00:28:21,720 Speaker 3: can be connections. 499 00:28:22,160 --> 00:28:22,920 Speaker 1: Yeah, that's right. 500 00:28:23,000 --> 00:28:26,320 Speaker 5: I think, like so much of this research, it relies 501 00:28:26,440 --> 00:28:29,840 Speaker 5: on community participation. But there are a couple of other 502 00:28:29,920 --> 00:28:34,040 Speaker 5: drawbacks too. Another big one is concerns over privacy. Not 503 00:28:34,119 --> 00:28:38,560 Speaker 5: everyone feels comfortable uploading their DNA and for that information 504 00:28:38,600 --> 00:28:43,720 Speaker 5: to be owned by another website. Understandably, there's also the 505 00:28:43,800 --> 00:28:47,920 Speaker 5: testing isn't perfect, the results can sometimes be a little misleading. 506 00:28:48,440 --> 00:28:51,040 Speaker 5: But one of the biggest drawbacks is the costs. Actually, 507 00:28:51,600 --> 00:28:56,120 Speaker 5: at one point on Series two, we considered extracting some 508 00:28:56,280 --> 00:29:00,480 Speaker 5: DNA from Heidie's grave in Heart Island when thought she 509 00:29:00,600 --> 00:29:03,160 Speaker 5: was there, and not only did the thought that just 510 00:29:03,160 --> 00:29:08,840 Speaker 5: seem kind of prohibitively gruesome, but also it's incredibly expensive. 511 00:29:09,520 --> 00:29:12,840 Speaker 5: And this is something I would say isn't necessarily accessible 512 00:29:12,920 --> 00:29:15,480 Speaker 5: to just the average person trying to look into a case. 513 00:29:16,080 --> 00:29:18,880 Speaker 3: Yeah, and it's also just something that's quite hard to 514 00:29:18,920 --> 00:29:21,600 Speaker 3: do on your own, isn't it. And so I guess 515 00:29:21,760 --> 00:29:23,600 Speaker 3: like the one thing I would say there is, if 516 00:29:23,640 --> 00:29:25,880 Speaker 3: that is a route that you're wanting to go down, 517 00:29:26,520 --> 00:29:30,320 Speaker 3: there are volunteers at charities that specialize in this that 518 00:29:30,440 --> 00:29:33,320 Speaker 3: will genuinely be happy to help you out. They can't 519 00:29:33,360 --> 00:29:37,160 Speaker 3: take on every case, but people like DNA Doe do 520 00:29:37,320 --> 00:29:40,040 Speaker 3: this every single day. They're the charity that we partnered with, 521 00:29:40,560 --> 00:29:43,360 Speaker 3: and they're really great at responding to inquiries or just 522 00:29:43,440 --> 00:29:46,360 Speaker 3: like perhaps giving you some advice, so do reach out 523 00:29:46,360 --> 00:29:52,720 Speaker 3: to them. I hope our tips have been useful, But 524 00:29:52,840 --> 00:29:55,360 Speaker 3: the truth is there is no one way to identify 525 00:29:55,360 --> 00:29:58,480 Speaker 3: a dough. Each new clue will open up a new 526 00:29:58,560 --> 00:30:01,040 Speaker 3: rabbit hole to fall down, and you've just got to 527 00:30:01,080 --> 00:30:05,640 Speaker 3: dive in Alice in Wonderland style. Get obsessed with the 528 00:30:05,680 --> 00:30:08,880 Speaker 3: necklace and finding out where it's from. Fixate on the 529 00:30:08,920 --> 00:30:13,840 Speaker 3: location the dough was discovered, spend weeks pouring over small turns. 530 00:30:13,520 --> 00:30:15,960 Speaker 2: Of phrases in news reports from the time. 531 00:30:17,760 --> 00:30:19,840 Speaker 3: When I was trying to solve our dough case from 532 00:30:19,920 --> 00:30:22,960 Speaker 3: seasons one and two. I was deep in those kinds 533 00:30:22,960 --> 00:30:26,000 Speaker 3: of rabbit holes for a year and a half. At 534 00:30:26,080 --> 00:30:28,920 Speaker 3: points I had to accept for my own sanity that 535 00:30:29,120 --> 00:30:32,360 Speaker 3: maybe I'd never know who she was, or perhaps I would, 536 00:30:32,480 --> 00:30:34,680 Speaker 3: but I'd never be able to prove it and share 537 00:30:34,680 --> 00:30:35,600 Speaker 3: her story. 538 00:30:35,280 --> 00:30:36,240 Speaker 2: With listeners like you. 539 00:30:37,680 --> 00:30:40,080 Speaker 3: It felt like it was only at the last moment, 540 00:30:40,280 --> 00:30:43,600 Speaker 3: when budgets were dwindling Faith was in crisis about to 541 00:30:43,640 --> 00:30:46,719 Speaker 3: put out a show with no resolution, that we actually 542 00:30:46,760 --> 00:30:51,080 Speaker 3: found the definitive proof that we needed. So my final 543 00:30:51,080 --> 00:30:53,840 Speaker 3: piece of advice to you is to just have some faith. 544 00:30:54,680 --> 00:30:58,840 Speaker 3: Sometimes new evidence can emerge and change everything, like that 545 00:30:58,880 --> 00:31:03,480 Speaker 3: confession from Joelrih. Sometimes one new contact will give you 546 00:31:03,560 --> 00:31:06,720 Speaker 3: access to materials that you've been trying to get for years. 547 00:31:07,200 --> 00:31:12,440 Speaker 3: That's what happened for us, So good luck until next time. 548 00:31:12,920 --> 00:31:28,480 Speaker 3: Hold your Girlfriend's Tight. The Girlfriend's Guide is produced by 549 00:31:28,560 --> 00:31:32,160 Speaker 3: Novel for iHeart Podcasts. For more from Novel, visit novel 550 00:31:32,280 --> 00:31:36,720 Speaker 3: dot Audio. This episode is produced and hosted by me 551 00:31:37,000 --> 00:31:41,080 Speaker 3: Anna Sinfield. Our assistant producer is Madeline Parr and we've 552 00:31:41,080 --> 00:31:44,760 Speaker 3: had some fantastic additional production by Lee Meyer, Leona Hamid, 553 00:31:44,920 --> 00:31:49,840 Speaker 3: and Zaiana Yusuf. Max O'Brien is our executive producer. Production 554 00:31:49,960 --> 00:31:54,760 Speaker 3: management from Shrie Houston and Charlotte Wolf. Sound design, mixing 555 00:31:54,840 --> 00:31:59,600 Speaker 3: and scoring by Daniel Kempson and Nicholas Alexander. Music supervision 556 00:31:59,640 --> 00:32:04,000 Speaker 3: by me Anna Sinfield and Nicholas Alexander. Original music composed 557 00:32:04,000 --> 00:32:07,680 Speaker 3: and performed by Louisa Gerstein and produced by Louisa Gerstein 558 00:32:07,840 --> 00:32:11,280 Speaker 3: and you guessed it Nicholas Alexander. The series artwork was 559 00:32:11,320 --> 00:32:15,480 Speaker 3: designed by Christina Limcool. Story development by me Ana Sinfield. 560 00:32:15,880 --> 00:32:20,720 Speaker 3: Willard Foxton is creative director our executive producers at iHeart 561 00:32:20,880 --> 00:32:22,280 Speaker 3: are Katrina Norvell. 562 00:32:22,120 --> 00:32:23,040 Speaker 2: And Nicki Etour. 563 00:32:23,640 --> 00:32:27,160 Speaker 3: Special thanks to Ali Cantor, Carrie Lieberman, and Will Pearson 564 00:32:27,200 --> 00:32:30,360 Speaker 3: at iHeart Podcasts, as well as Carl Frankel and the 565 00:32:30,400 --> 00:32:34,400 Speaker 3: whole team at WME. And special thanks to Daniel Laskrin 566 00:32:34,480 --> 00:33:01,280 Speaker 3: for putting on your best detective voice