1 00:00:03,680 --> 00:00:05,000 Speaker 1: I'm Kate Winkler Dawson. 2 00:00:05,160 --> 00:00:07,960 Speaker 2: I'm a journalist who's spent the last twenty five years 3 00:00:08,039 --> 00:00:09,560 Speaker 2: writing about true crime. 4 00:00:09,840 --> 00:00:12,840 Speaker 3: And I'm Paul Holles, a retired cold case investigator who's 5 00:00:12,840 --> 00:00:16,439 Speaker 3: worked some of America's most complicated cases and solve them. 6 00:00:16,480 --> 00:00:19,840 Speaker 2: Each week, I present Paul with one of history's most 7 00:00:19,880 --> 00:00:21,680 Speaker 2: compelling true crimes. 8 00:00:21,440 --> 00:00:24,279 Speaker 3: And I weigh in using modern forensic techniques to bring 9 00:00:24,320 --> 00:00:26,079 Speaker 3: new insights to old mysteries. 10 00:00:26,480 --> 00:00:31,680 Speaker 2: Together, using our individual expertise, we're examining historical true crime 11 00:00:31,760 --> 00:00:34,400 Speaker 2: cases through a twenty first century lens. 12 00:00:34,640 --> 00:00:37,800 Speaker 3: Some are solved and some are cold, very cold. 13 00:00:38,240 --> 00:00:39,839 Speaker 1: This is buried Bones. 14 00:01:02,160 --> 00:01:04,440 Speaker 3: Hey Paul, Hey Kate, how are you? 15 00:01:04,840 --> 00:01:05,560 Speaker 1: I'm fine. 16 00:01:05,800 --> 00:01:11,520 Speaker 2: I am experiencing birthday hangover, but not my birthday, my 17 00:01:11,640 --> 00:01:16,520 Speaker 2: kid's birthday. My birthdays are usually my birthdays three days 18 00:01:16,520 --> 00:01:19,360 Speaker 2: after Christmas, so we've talked about that before. My birthdays 19 00:01:19,360 --> 00:01:23,600 Speaker 2: are pretty chill, but my kid's birthdays, my goodness, it 20 00:01:23,800 --> 00:01:27,680 Speaker 2: just feels like we're having celebration after celebration, and it's 21 00:01:27,800 --> 00:01:31,000 Speaker 2: like carte launched for them to do whatever they want. 22 00:01:31,440 --> 00:01:34,360 Speaker 2: Were you really able to let your kids do whatever 23 00:01:34,400 --> 00:01:37,919 Speaker 2: they wanted on their birthdays or were you sort of saying, Okay, 24 00:01:37,920 --> 00:01:39,320 Speaker 2: we're going to get this done and that's. 25 00:01:39,160 --> 00:01:39,840 Speaker 1: It and move on. 26 00:01:40,200 --> 00:01:44,480 Speaker 3: No, yeah, I wouldn't say anything they wanted. But of course, 27 00:01:44,640 --> 00:01:47,000 Speaker 3: you know, as they when they were younger, you know, 28 00:01:47,120 --> 00:01:49,440 Speaker 3: it's kind of a big deal. You know, for younger kids, 29 00:01:49,600 --> 00:01:55,320 Speaker 3: birthday celebrations are important, and so of course there was 30 00:01:55,360 --> 00:01:58,120 Speaker 3: a variety of different activities that would be done over 31 00:01:58,160 --> 00:02:00,720 Speaker 3: the years for the kids. And as they gotten older, 32 00:02:00,760 --> 00:02:03,000 Speaker 3: we just kind of have pulled back and now they 33 00:02:03,320 --> 00:02:05,520 Speaker 3: would probably rather be out with their friends for their 34 00:02:05,520 --> 00:02:08,400 Speaker 3: birthday or have their friends over than have the parents 35 00:02:08,440 --> 00:02:10,639 Speaker 3: have to do some sort of activity for them. 36 00:02:11,240 --> 00:02:14,880 Speaker 2: So we're going to transition and go very very modern 37 00:02:14,919 --> 00:02:17,919 Speaker 2: for us nineteen thirties to nineteen fifties. 38 00:02:19,440 --> 00:02:22,320 Speaker 1: I know, it's amazing. It's amazing. 39 00:02:22,720 --> 00:02:24,920 Speaker 2: And we're going to go to Atlanta, Georgia, and we 40 00:02:24,960 --> 00:02:29,280 Speaker 2: are going to talk about someone who was a serial killer, 41 00:02:29,560 --> 00:02:35,320 Speaker 2: a woman with at least ten victims. She is virtually 42 00:02:35,560 --> 00:02:40,360 Speaker 2: unknown in history, and it's probably because both she and 43 00:02:40,440 --> 00:02:46,200 Speaker 2: the victims were black. So it's interesting to talk about 44 00:02:46,240 --> 00:02:48,960 Speaker 2: somebody like a Samuel Little or some of these folks 45 00:02:49,040 --> 00:02:53,120 Speaker 2: who you know, you would think would be compared to 46 00:02:53,240 --> 00:02:57,000 Speaker 2: it Edmund Kemper or a Ted Bundy or a Dennis Raider. 47 00:02:57,520 --> 00:02:59,640 Speaker 2: But I'm going to be interested in talking to you 48 00:02:59,680 --> 00:03:04,000 Speaker 2: about out why somebody would not be famous. What is 49 00:03:04,080 --> 00:03:08,079 Speaker 2: the storyline that the media or the audience picks up 50 00:03:08,120 --> 00:03:13,760 Speaker 2: on that turned somebody from a craven killer who is 51 00:03:13,760 --> 00:03:17,560 Speaker 2: a serial killer into this level of infamy that we're 52 00:03:17,600 --> 00:03:21,200 Speaker 2: seeing in a Jeffrey Dalmer or a Ted Mundy. Because 53 00:03:21,639 --> 00:03:24,720 Speaker 2: you know, these are terrible crimes, but they did not 54 00:03:25,120 --> 00:03:28,760 Speaker 2: catch the media's attention, even the black media's attention. 55 00:03:29,240 --> 00:03:30,480 Speaker 3: Yeah, and it's. 56 00:03:30,280 --> 00:03:32,880 Speaker 1: Still a bad, bad series of crimes. 57 00:03:32,960 --> 00:03:37,080 Speaker 2: So let's go ahead and set the scene. So there's 58 00:03:37,120 --> 00:03:41,240 Speaker 2: some thematic overlap between this story and a story that 59 00:03:41,320 --> 00:03:41,920 Speaker 2: I told. 60 00:03:41,720 --> 00:03:43,360 Speaker 1: You kind of a long time ago. 61 00:03:44,000 --> 00:03:48,200 Speaker 2: Do you remember the enri Lan Drew story? Who was 62 00:03:48,320 --> 00:03:51,560 Speaker 2: the blue Beard from France? Do you remember anything about 63 00:03:51,560 --> 00:03:55,200 Speaker 2: that story? I know we talk a lot about there's. 64 00:03:55,040 --> 00:03:57,120 Speaker 1: A lot of killers in there in our list. Do 65 00:03:57,160 --> 00:03:58,360 Speaker 1: you remember the blue Beard? 66 00:03:58,840 --> 00:04:02,120 Speaker 3: I do remember talking about that. A lot of the 67 00:04:02,120 --> 00:04:04,640 Speaker 3: details are a little fuzzy, which is pretty typical for 68 00:04:04,720 --> 00:04:05,960 Speaker 3: me after you know. 69 00:04:06,560 --> 00:04:07,320 Speaker 1: You're blocking them out. 70 00:04:07,760 --> 00:04:11,400 Speaker 3: Hundreds, yeah, hundreds of different cases. But yes, I remember 71 00:04:11,480 --> 00:04:13,800 Speaker 3: that that episode for a little bit. 72 00:04:14,040 --> 00:04:17,839 Speaker 2: So Landrew would draw women in using kind of the 73 00:04:17,839 --> 00:04:21,800 Speaker 2: lonely hearts ads. He was killing people during I think 74 00:04:21,920 --> 00:04:24,760 Speaker 2: World War One, so there were a lot of single 75 00:04:24,800 --> 00:04:27,960 Speaker 2: women out there, and you know, he would murder them. 76 00:04:28,040 --> 00:04:30,920 Speaker 2: He would draw them in and marry them and murder them. 77 00:04:31,200 --> 00:04:34,120 Speaker 2: This person that we're going to talk about is not 78 00:04:35,040 --> 00:04:38,400 Speaker 2: stopping with the people that she's married to. She's expanding 79 00:04:38,400 --> 00:04:40,960 Speaker 2: to a lot of different family members. And I'm not 80 00:04:41,160 --> 00:04:43,320 Speaker 2: going to dance around who it is. 81 00:04:43,360 --> 00:04:44,400 Speaker 1: It's our main character. 82 00:04:44,920 --> 00:04:46,960 Speaker 2: And what I want to know from you as we 83 00:04:47,040 --> 00:04:49,680 Speaker 2: kind of go through this is number one, what is 84 00:04:49,720 --> 00:04:53,480 Speaker 2: she thinking? You know, I still don't quite understand the 85 00:04:53,880 --> 00:04:57,960 Speaker 2: idea of killing everybody around you, not for sexual pleasure, 86 00:04:58,040 --> 00:05:02,720 Speaker 2: but for money or for other reasons. And also how 87 00:05:02,760 --> 00:05:07,239 Speaker 2: does someone get away with it and fly under the radar? 88 00:05:07,960 --> 00:05:10,000 Speaker 2: You know, I guess it's the sort of the persona 89 00:05:10,080 --> 00:05:14,320 Speaker 2: of the person and where you fall under in the 90 00:05:14,440 --> 00:05:18,640 Speaker 2: list of infamy of serial killers. This story is two decades, 91 00:05:18,880 --> 00:05:23,120 Speaker 2: starting in the late thirties until the early nineteen fifties 92 00:05:23,560 --> 00:05:26,960 Speaker 2: in Atlanta, Georgia. Atlanta is getting the reputation for being 93 00:05:27,000 --> 00:05:29,680 Speaker 2: the cradle of the civil rights movement at this point. 94 00:05:30,200 --> 00:05:33,360 Speaker 2: So there is a lot of upheaval, there's a lot 95 00:05:33,360 --> 00:05:37,680 Speaker 2: of demand from people of color for equal rights, and 96 00:05:37,760 --> 00:05:40,640 Speaker 2: so the city is really in a big push pool 97 00:05:40,720 --> 00:05:43,440 Speaker 2: at this point. And I think one of the things 98 00:05:43,480 --> 00:05:45,400 Speaker 2: that we've talked about in the past is when we 99 00:05:45,440 --> 00:05:47,800 Speaker 2: talk about people of color, and it might not be 100 00:05:47,920 --> 00:05:50,440 Speaker 2: just people who are black, but you know, it could 101 00:05:50,480 --> 00:05:54,400 Speaker 2: be indigenous, it could be people of Asian descent, whomever 102 00:05:54,560 --> 00:05:57,880 Speaker 2: we're talking about. When we talk about them in history, 103 00:05:58,480 --> 00:06:01,080 Speaker 2: there's often not as much of information as we want 104 00:06:01,279 --> 00:06:05,600 Speaker 2: because law enforcement doesn't care as much in history about 105 00:06:05,680 --> 00:06:08,880 Speaker 2: these victims. And sometimes in this case, I'm not sure 106 00:06:08,880 --> 00:06:12,080 Speaker 2: they care that much about the killer. So you might 107 00:06:12,160 --> 00:06:14,919 Speaker 2: want more information about our killer. 108 00:06:14,920 --> 00:06:15,960 Speaker 1: Than I might have. 109 00:06:16,160 --> 00:06:19,359 Speaker 2: And it's just because you know, we have a history 110 00:06:19,480 --> 00:06:23,960 Speaker 2: in our country of ignoring underrepresented people, even if they 111 00:06:23,960 --> 00:06:25,159 Speaker 2: are convicted killers. 112 00:06:25,400 --> 00:06:27,520 Speaker 1: And that's what's happening here. Okay, So I just want 113 00:06:27,560 --> 00:06:28,359 Speaker 1: to get you ready for that. 114 00:06:29,440 --> 00:06:31,200 Speaker 3: Hey, I'm geared up, let's hear it. 115 00:06:31,440 --> 00:06:32,240 Speaker 1: Okay, here we go. 116 00:06:33,040 --> 00:06:35,440 Speaker 2: So, the woman's name that we're going to talk about 117 00:06:35,440 --> 00:06:41,160 Speaker 2: today is ROBERTA Elder, and she was born around nineteen 118 00:06:41,200 --> 00:06:45,640 Speaker 2: oh nine. She spends most of her time in Watkinsville, Georgia, 119 00:06:45,720 --> 00:06:48,760 Speaker 2: and then she moves on to Atlanta. We don't know 120 00:06:48,839 --> 00:06:53,160 Speaker 2: much about her background, how she grew up again, underrepresented people, 121 00:06:53,400 --> 00:06:56,679 Speaker 2: underreported is kind of what I usually say. But as 122 00:06:56,760 --> 00:06:59,719 Speaker 2: a young adult, Roberta gets into our relationship with a 123 00:06:59,760 --> 00:07:02,279 Speaker 2: man whose last name is Thurmond, and we don't know 124 00:07:02,360 --> 00:07:05,960 Speaker 2: a lot about them, except that there is a son 125 00:07:06,000 --> 00:07:08,920 Speaker 2: that's named James, and he goes by Willie, So I'm 126 00:07:08,920 --> 00:07:10,680 Speaker 2: just going to call him Willy from now on, and 127 00:07:10,720 --> 00:07:15,240 Speaker 2: he becomes important later on. There's also two daughters, Willie 128 00:07:15,240 --> 00:07:20,480 Speaker 2: May and Lizzie May, and both daughters die in infancy, 129 00:07:20,600 --> 00:07:23,960 Speaker 2: both of these little girls, and one is two weeks old, 130 00:07:24,000 --> 00:07:28,280 Speaker 2: one is one week old. And this is where details 131 00:07:28,360 --> 00:07:32,640 Speaker 2: about Roberta get sketchy. So there's no proof that she 132 00:07:33,080 --> 00:07:38,160 Speaker 2: killed these children, but there is an insinuation because when 133 00:07:38,200 --> 00:07:41,400 Speaker 2: it comes out later on that she is a serial 134 00:07:41,520 --> 00:07:45,920 Speaker 2: killer within acquaintances and family members, and I know that 135 00:07:46,000 --> 00:07:48,520 Speaker 2: is not our traditional definition of a serial killer, but 136 00:07:48,640 --> 00:07:52,680 Speaker 2: over two decades she murders a lot of people. When 137 00:07:52,760 --> 00:07:56,560 Speaker 2: it comes out that she is this killer, we began 138 00:07:56,720 --> 00:08:00,400 Speaker 2: looking back at all the people who died in her family, 139 00:08:00,600 --> 00:08:02,760 Speaker 2: and they sort of start with these two little girls, 140 00:08:03,160 --> 00:08:05,320 Speaker 2: but we don't know the circumstances of their death. We 141 00:08:05,360 --> 00:08:07,720 Speaker 2: don't have enough information because at the time, it was 142 00:08:07,880 --> 00:08:11,120 Speaker 2: just considered children who had just been born and gotten 143 00:08:11,160 --> 00:08:14,720 Speaker 2: sick and died, So that would have flown under the radar. 144 00:08:15,360 --> 00:08:19,200 Speaker 2: Would that have flown under the radar now? Would it 145 00:08:19,240 --> 00:08:22,440 Speaker 2: have been considered unusual for a child to die shortly 146 00:08:22,480 --> 00:08:25,520 Speaker 2: after childbirth now or would that sound alarm bells to 147 00:08:25,760 --> 00:08:27,160 Speaker 2: police investigators now? 148 00:08:27,320 --> 00:08:31,360 Speaker 3: Well, today you know, of course, there's so much more 149 00:08:31,560 --> 00:08:37,200 Speaker 3: ability to determine the cause of death and if there 150 00:08:37,240 --> 00:08:40,760 Speaker 3: is anything that is suspicious about it. This is the 151 00:08:40,840 --> 00:08:44,720 Speaker 3: role of both you know, the medical professionals. If these 152 00:08:44,800 --> 00:08:47,920 Speaker 3: children are brought in and they're in some sort of 153 00:08:47,960 --> 00:08:54,320 Speaker 3: medical emergency, if they die, then now you have in 154 00:08:54,640 --> 00:08:58,840 Speaker 3: many jurisdictions, you have death investigators that are responding out 155 00:08:59,000 --> 00:09:03,040 Speaker 3: to the death scene. They're documenting it, they are trained on, 156 00:09:03,360 --> 00:09:06,000 Speaker 3: you know, what to look for that's anything suspicious. If 157 00:09:06,000 --> 00:09:09,360 Speaker 3: they see anything suspicious, even if it's like, well, I'm 158 00:09:09,360 --> 00:09:12,800 Speaker 3: not sure, they need to be pulling out homicide investigators. 159 00:09:13,240 --> 00:09:15,880 Speaker 3: And then of course you hope that you have, you know, 160 00:09:16,080 --> 00:09:21,040 Speaker 3: very highly trained forensic pathologists that can recognize there is 161 00:09:22,240 --> 00:09:27,920 Speaker 3: something suspicious about why this child died and possibly could 162 00:09:27,960 --> 00:09:32,240 Speaker 3: even determine this is a homicide, you know. So I 163 00:09:32,280 --> 00:09:37,200 Speaker 3: think it's much more difficult to get away with killing 164 00:09:37,240 --> 00:09:41,120 Speaker 3: your child and making it look like it was due 165 00:09:41,120 --> 00:09:44,920 Speaker 3: to some sort of natural cause or you know, exposure 166 00:09:44,960 --> 00:09:47,240 Speaker 3: to you, whether it be a toxin or pathogen of 167 00:09:47,280 --> 00:09:51,320 Speaker 3: some sort. I think the medical and death investigation process is, 168 00:09:52,240 --> 00:09:53,520 Speaker 3: you know, they're looking for that. 169 00:09:53,960 --> 00:09:56,840 Speaker 2: Yeah, And in the nineteen thirties, I'm not sure how 170 00:09:56,920 --> 00:10:00,400 Speaker 2: much they would have been looking unless it just seemed 171 00:10:00,559 --> 00:10:04,720 Speaker 2: like very obvious signs. There was nothing obvious about the 172 00:10:04,760 --> 00:10:07,080 Speaker 2: death of these two little girls, and so we could 173 00:10:08,000 --> 00:10:10,520 Speaker 2: just assume that they died of natural causes. But based 174 00:10:10,559 --> 00:10:13,600 Speaker 2: on her history, as we'll find out, I don't know. 175 00:10:13,679 --> 00:10:15,600 Speaker 2: I think you keep it on the back burner for now. 176 00:10:16,320 --> 00:10:19,800 Speaker 2: So by the mid nineteen thirties, when she would have 177 00:10:19,880 --> 00:10:22,960 Speaker 2: been maybe in her twenties, mid twenties, she's no longer 178 00:10:23,040 --> 00:10:26,600 Speaker 2: with this guy, mister Thurmond, who's the father of her children. 179 00:10:26,760 --> 00:10:28,880 Speaker 1: We don't know why. They might have divorced, or maybe 180 00:10:28,920 --> 00:10:30,160 Speaker 1: he died. We're not sure. 181 00:10:30,559 --> 00:10:34,600 Speaker 2: She's not a suspect officially with anything right now. But 182 00:10:34,840 --> 00:10:37,440 Speaker 2: in nineteen thirty eight, Roberta is about thirty years old 183 00:10:37,600 --> 00:10:40,280 Speaker 2: and she gets into our relationship with a guy named 184 00:10:40,360 --> 00:10:44,160 Speaker 2: John Woodward. So some people describe him as just a friend, 185 00:10:44,240 --> 00:10:46,680 Speaker 2: but others say this is her common law husband. We 186 00:10:46,760 --> 00:10:50,199 Speaker 2: don't know for sure, but they did live together in Atlanta, 187 00:10:50,960 --> 00:10:55,120 Speaker 2: and Roberta's teenage son, who's thirteen, Willie, is living with 188 00:10:55,160 --> 00:10:59,199 Speaker 2: them too, So in this relationship, not long after they 189 00:10:59,240 --> 00:11:04,640 Speaker 2: started it, John Woodward ends up dying, and there's not 190 00:11:05,000 --> 00:11:08,520 Speaker 2: a lot of information of what he dies of, but 191 00:11:08,720 --> 00:11:11,480 Speaker 2: I think we're going to find out later on that 192 00:11:12,080 --> 00:11:15,439 Speaker 2: these people all tended to have sort of the same symptoms. 193 00:11:15,760 --> 00:11:16,640 Speaker 1: But he's young. 194 00:11:16,760 --> 00:11:20,120 Speaker 2: He's thirty six years old, and he's died in what's 195 00:11:20,280 --> 00:11:24,880 Speaker 2: reported as a mysterious illness, but we're not even sure 196 00:11:24,920 --> 00:11:29,200 Speaker 2: he's been given an appropriate cause of death. So at 197 00:11:29,240 --> 00:11:32,679 Speaker 2: thirty six in nineteen thirty eight, they could have been 198 00:11:32,960 --> 00:11:34,840 Speaker 2: many things. It could have been the flu, it could 199 00:11:34,840 --> 00:11:35,560 Speaker 2: have been things. 200 00:11:35,320 --> 00:11:35,920 Speaker 1: That killed him. 201 00:11:35,960 --> 00:11:40,520 Speaker 2: Now, but you know, right now, we just know that 202 00:11:41,360 --> 00:11:43,880 Speaker 2: there's a man in his mid thirties who's been living 203 00:11:43,920 --> 00:11:46,520 Speaker 2: with this woman for not very long in her teenage son, 204 00:11:46,640 --> 00:11:48,199 Speaker 2: and he is now dead. 205 00:11:48,640 --> 00:11:51,360 Speaker 3: And how did they meet? Did they just run across 206 00:11:51,400 --> 00:11:55,040 Speaker 3: each other or is she answering to ads? You know 207 00:11:55,080 --> 00:11:58,920 Speaker 3: that people are putting out you know, what's the victimology 208 00:11:59,080 --> 00:11:59,440 Speaker 3: like here? 209 00:11:59,679 --> 00:12:01,680 Speaker 1: I think they just knew each other from the neighborhood, 210 00:12:01,880 --> 00:12:02,560 Speaker 1: is what I gather. 211 00:12:02,800 --> 00:12:05,199 Speaker 2: Okay, So I don't think she's putting out ads or 212 00:12:05,200 --> 00:12:06,000 Speaker 2: anything like that. 213 00:12:06,080 --> 00:12:08,760 Speaker 1: You know, it's Atlanta, it's a big city. In the nineteen. 214 00:12:08,440 --> 00:12:13,160 Speaker 2: Thirties, there are very large black sections of Atlanta, sections 215 00:12:13,160 --> 00:12:16,240 Speaker 2: of Atlanta where black people would live. So I think 216 00:12:16,280 --> 00:12:18,920 Speaker 2: this is probably just an acquaintance situation. 217 00:12:18,480 --> 00:12:19,199 Speaker 1: Where they meet. 218 00:12:19,840 --> 00:12:23,160 Speaker 2: He does not seem to have any prior health concerns, 219 00:12:23,559 --> 00:12:27,720 Speaker 2: and he's thirty six. But you know, no alarm bells 220 00:12:27,920 --> 00:12:32,880 Speaker 2: are sounding, except one year later, I see an alarm 221 00:12:32,920 --> 00:12:36,520 Speaker 2: bell that I don't think anybody else sees when something 222 00:12:36,559 --> 00:12:41,320 Speaker 2: happens in Roberta's home again. So she has a teenage 223 00:12:41,320 --> 00:12:48,240 Speaker 2: son named Willie, and he passes away at thirteen years old. 224 00:12:49,160 --> 00:12:51,400 Speaker 2: So this is about a year later. So this thirty 225 00:12:51,440 --> 00:12:54,400 Speaker 2: six year old man dies in a mysterious way, but 226 00:12:55,040 --> 00:12:59,280 Speaker 2: the police are not called. So Willie dies who's thirteen 227 00:13:00,320 --> 00:13:03,400 Speaker 2: and on the death certificate, his cause of death is 228 00:13:03,440 --> 00:13:09,760 Speaker 2: determined to be malnutrition and respiratory trouble. So what is 229 00:13:09,840 --> 00:13:12,600 Speaker 2: that malnutrition and respiratory trouble? 230 00:13:12,880 --> 00:13:17,120 Speaker 3: Well, he's he's a victim of child abuse. He is 231 00:13:17,200 --> 00:13:23,080 Speaker 3: being you know, she's withholding food from him. And you know, 232 00:13:23,200 --> 00:13:28,760 Speaker 3: whether or not the respiratory issues are a result of 233 00:13:28,800 --> 00:13:31,640 Speaker 3: the malnutrition or there's something else going on, I couldn't say. 234 00:13:31,720 --> 00:13:34,560 Speaker 3: You know, that's why autopsies are conducted in part is 235 00:13:34,600 --> 00:13:37,600 Speaker 3: to get those types of answers. But right now, the 236 00:13:37,640 --> 00:13:43,240 Speaker 3: malnutrition should be a huge red flag as why can 237 00:13:43,320 --> 00:13:46,880 Speaker 3: she not provide food to her child? 238 00:13:47,320 --> 00:13:48,480 Speaker 1: It says malnutrition. 239 00:13:48,920 --> 00:13:52,560 Speaker 2: Is there any way that there is some type of 240 00:13:52,920 --> 00:13:58,200 Speaker 2: disease that would mimic malnutrition? I mean maybe if you 241 00:13:58,360 --> 00:14:02,360 Speaker 2: have stomach problems for two or three weeks or is 242 00:14:02,400 --> 00:14:06,439 Speaker 2: it really clear when it's malnutrition from child. 243 00:14:06,160 --> 00:14:12,080 Speaker 3: Abuse, I would definitely be deferring to a pathologist medical professional. 244 00:14:12,679 --> 00:14:19,760 Speaker 3: But the pathologist is listing the cause of death as malnutrition. Yeah, 245 00:14:19,800 --> 00:14:24,520 Speaker 3: and a pathologist would recognize if that malnutrition was a 246 00:14:24,560 --> 00:14:27,960 Speaker 3: result of a disease state or was a result of 247 00:14:27,960 --> 00:14:30,600 Speaker 3: a lack of food and of course, there would be 248 00:14:30,920 --> 00:14:33,960 Speaker 3: other indicators within the house in terms of what has 249 00:14:34,040 --> 00:14:37,560 Speaker 3: going on. This is a thirteen year old boy, you know, 250 00:14:37,640 --> 00:14:40,360 Speaker 3: it's not a two year old. Is there food in 251 00:14:40,400 --> 00:14:43,680 Speaker 3: the house? Has the boy been eating? You know? Is 252 00:14:44,120 --> 00:14:47,000 Speaker 3: there other symptoms that have been on display for a 253 00:14:47,040 --> 00:14:49,920 Speaker 3: period of time where now this thirteen year old boy 254 00:14:50,000 --> 00:14:52,640 Speaker 3: is becoming frail as a result of not being able 255 00:14:52,640 --> 00:14:56,840 Speaker 3: to ingest food or digest it properly. But that's where 256 00:14:56,880 --> 00:15:00,560 Speaker 3: the pathologist weighs in, you know. But right now, when 257 00:15:00,600 --> 00:15:03,920 Speaker 3: I hear cause of death as malnutrition, you know, my 258 00:15:04,120 --> 00:15:08,440 Speaker 3: immediate thought is, is there is a criminal act happening 259 00:15:09,240 --> 00:15:13,600 Speaker 3: that parent isn't taken care of her child and let 260 00:15:13,640 --> 00:15:18,560 Speaker 3: it linger so long that that child died. Now, maybe 261 00:15:18,600 --> 00:15:24,280 Speaker 3: there was some sort of disease state, but why isn't 262 00:15:24,320 --> 00:15:28,120 Speaker 3: she acting on it earlier to prevent this child's death? 263 00:15:28,400 --> 00:15:32,120 Speaker 2: And I'm curious about whether or not this child abuse 264 00:15:32,160 --> 00:15:39,200 Speaker 2: malnutrition started before the husband died John, because you know, 265 00:15:39,280 --> 00:15:42,160 Speaker 2: you've got John dying in nineteen thirty eight, and then 266 00:15:42,200 --> 00:15:45,240 Speaker 2: Willie the Sun dies a year later. So I wonder 267 00:15:45,280 --> 00:15:48,120 Speaker 2: if as soon as John is dead, this is when 268 00:15:48,280 --> 00:15:52,120 Speaker 2: the malnutrition part starts. But I'm still concerned. I don't 269 00:15:52,120 --> 00:15:55,520 Speaker 2: know what the respiratory trouble would be. What are they seeing? 270 00:15:55,560 --> 00:15:58,360 Speaker 2: Are they seeing something in his lungs during an autopsy 271 00:15:58,920 --> 00:16:02,440 Speaker 2: to make it import to put on their death certific kit? 272 00:16:02,640 --> 00:16:03,920 Speaker 3: Yeah, no, for sure. 273 00:16:04,000 --> 00:16:05,800 Speaker 2: Isn't it like a strange combo? It seems like a 274 00:16:05,800 --> 00:16:07,720 Speaker 2: weird combo to have on a death certificate. 275 00:16:07,920 --> 00:16:10,120 Speaker 3: It is, you know. But that's again where I think 276 00:16:10,160 --> 00:16:14,240 Speaker 3: the medical professionals have to weigh in on. Could the 277 00:16:14,320 --> 00:16:17,880 Speaker 3: state of the malnutrition be the primary cause of death 278 00:16:17,920 --> 00:16:21,840 Speaker 3: and the respiratory issue being sort of a side symptom 279 00:16:21,880 --> 00:16:26,280 Speaker 3: of the malnutrition. What exactly is this respiratory issue that's 280 00:16:26,320 --> 00:16:28,520 Speaker 3: going on, because there can be many different types of 281 00:16:28,520 --> 00:16:34,560 Speaker 3: respiratory issues, and maybe that is a clue as to 282 00:16:35,320 --> 00:16:39,880 Speaker 3: what might be the underlying cause. You know, like, let's 283 00:16:39,880 --> 00:16:44,200 Speaker 3: say she's poisoning her child, and that poisoning aspect is 284 00:16:44,280 --> 00:16:47,880 Speaker 3: causing that child to exhibit the malnutrition, but also that 285 00:16:47,960 --> 00:16:53,000 Speaker 3: poisoning is potentially manifesting as a how do I want 286 00:16:53,040 --> 00:16:56,000 Speaker 3: to say it, that this respiratory thing may be one 287 00:16:56,000 --> 00:16:58,840 Speaker 3: of those types of symptoms from this toxin being in 288 00:16:58,960 --> 00:17:01,960 Speaker 3: the child's body. So right now, I don't know. You know, 289 00:17:02,040 --> 00:17:05,920 Speaker 3: this autopsy cause of deaths is too generic to say 290 00:17:06,000 --> 00:17:10,240 Speaker 3: for sure what is going on. It's just the people 291 00:17:10,520 --> 00:17:14,479 Speaker 3: looking at her. Does she look like she's healthy, like 292 00:17:14,560 --> 00:17:19,240 Speaker 3: she's getting adequate food and her child is dying of malnutrition. 293 00:17:20,640 --> 00:17:21,360 Speaker 3: That's a problem. 294 00:17:21,760 --> 00:17:24,960 Speaker 2: Well, it's not sounding any alarms with the authorities at all, 295 00:17:25,240 --> 00:17:30,439 Speaker 2: because nothing changes for Roberta. She ends up about two 296 00:17:30,560 --> 00:17:34,800 Speaker 2: or three years later remarrying. She marries a guy named 297 00:17:34,880 --> 00:17:40,400 Speaker 2: James Garfield Crane, and James Garfield Crane has a grandson 298 00:17:41,280 --> 00:17:46,480 Speaker 2: who's named Jimmy Lee Crane and he is two years old. 299 00:17:47,400 --> 00:17:51,639 Speaker 2: Both of them die in less than two years after 300 00:17:51,640 --> 00:17:56,200 Speaker 2: they've been married. Both James and Jimmy, the grandson die 301 00:17:56,960 --> 00:18:00,840 Speaker 2: and both causes of death are unclear from the day certificates. 302 00:18:01,480 --> 00:18:03,760 Speaker 2: So you've got now, every time somebody lives with her, 303 00:18:04,320 --> 00:18:06,960 Speaker 2: they end up dying, and nobody can really trace what's 304 00:18:07,000 --> 00:18:08,119 Speaker 2: happening with these people. 305 00:18:08,320 --> 00:18:12,840 Speaker 3: And she's generally living in the same jurisdiction, right she is. 306 00:18:12,960 --> 00:18:15,360 Speaker 2: I don't think she's moving actually, I think this all 307 00:18:15,440 --> 00:18:17,960 Speaker 2: might be the same house, and people keep moving in with. 308 00:18:17,880 --> 00:18:24,080 Speaker 3: Her, and there's family friends that live you know, with her, 309 00:18:24,320 --> 00:18:28,159 Speaker 3: around her there's you know, the same neighbors. You know, 310 00:18:28,200 --> 00:18:31,280 Speaker 3: it's one thing if you have you know, like from 311 00:18:31,320 --> 00:18:34,880 Speaker 3: the law enforcement side. You know, law enforcement isn't necessarily 312 00:18:35,119 --> 00:18:39,720 Speaker 3: tracking back then tracking this type of thing. Nowadays, of course, 313 00:18:39,760 --> 00:18:42,880 Speaker 3: it's say we're responding out we've got a death out 314 00:18:42,880 --> 00:18:46,159 Speaker 3: at this location. You know what previous callouts have we 315 00:18:46,200 --> 00:18:48,560 Speaker 3: had at this location, Oh, we've been out there three 316 00:18:48,600 --> 00:18:51,159 Speaker 3: times before, because other people have been found dead inside 317 00:18:51,160 --> 00:18:54,920 Speaker 3: this house. There'd be alarm bells going off. If all 318 00:18:55,000 --> 00:18:59,600 Speaker 3: these deceased individuals are flowing through the corner's office, you know, 319 00:19:00,080 --> 00:19:03,239 Speaker 3: there would be alarm bells going off. So there is 320 00:19:03,280 --> 00:19:08,240 Speaker 3: definitely a deficit in terms of not only from the authorities, 321 00:19:08,280 --> 00:19:12,080 Speaker 3: but even just the people in her social circles. If 322 00:19:12,320 --> 00:19:16,720 Speaker 3: this is not causing somebody to go there's a problem 323 00:19:16,760 --> 00:19:21,280 Speaker 3: going on here and actually calling up the law enforcement 324 00:19:21,359 --> 00:19:24,480 Speaker 3: agency and saying you need to look at this, you're 325 00:19:24,480 --> 00:19:24,720 Speaker 3: going to. 326 00:19:24,760 --> 00:19:28,720 Speaker 2: Keep saying that for a while, I'm afraid. So there's 327 00:19:28,840 --> 00:19:32,760 Speaker 2: a little girl named Gloria Evans. She's three, and this 328 00:19:32,800 --> 00:19:38,440 Speaker 2: is Roberta's cousin. She dies the year after Roberta's new 329 00:19:38,520 --> 00:19:42,840 Speaker 2: husband and the husband's two year old grandson dies. Now 330 00:19:42,960 --> 00:19:47,840 Speaker 2: we have a tiny bit more information. Gloria the coroner 331 00:19:47,920 --> 00:19:53,520 Speaker 2: says died of acute gastro enteritis caused by food poisoning. 332 00:19:54,760 --> 00:19:56,439 Speaker 2: So that just sounds like that could have been an 333 00:19:56,520 --> 00:19:58,359 Speaker 2: arsenic maybe what do you think? 334 00:19:58,600 --> 00:20:02,240 Speaker 3: So if she's calling food poisoning to me, that sounds 335 00:20:02,240 --> 00:20:04,359 Speaker 3: like it most likely is going to be like a 336 00:20:04,480 --> 00:20:05,879 Speaker 3: bacterial food poisoning. 337 00:20:06,200 --> 00:20:08,720 Speaker 2: Do people die from food poisoning? Is that a thing 338 00:20:08,920 --> 00:20:11,200 Speaker 2: in the nineteen forties? Would that have really happened? 339 00:20:11,400 --> 00:20:14,880 Speaker 3: It happens today A three year old would though, well, well, 340 00:20:14,880 --> 00:20:18,080 Speaker 3: your younger children and your more elderly are more susceptible 341 00:20:18,119 --> 00:20:21,760 Speaker 3: to some of these more severe forms of food poisoning. 342 00:20:21,840 --> 00:20:26,840 Speaker 3: I will tell you that what year was that twenty fourteen, 343 00:20:26,880 --> 00:20:32,879 Speaker 3: twenty fifteen I came down with E Coli O one 344 00:20:33,080 --> 00:20:37,080 Speaker 3: five seven, And I will tell you, and I'm not 345 00:20:37,119 --> 00:20:39,760 Speaker 3: going to go into graphic detail, this was when the 346 00:20:39,760 --> 00:20:42,760 Speaker 3: Ebola outbreak was going on in Africa, and so when 347 00:20:42,760 --> 00:20:48,000 Speaker 3: I showed up with severe symptoms, the hospital quarantine to me, 348 00:20:48,200 --> 00:20:53,919 Speaker 3: thinking I potentially could have been exposed to ebola. And 349 00:20:54,240 --> 00:20:57,480 Speaker 3: I will tell you that, Yeah, a frail person going 350 00:20:57,480 --> 00:21:00,760 Speaker 3: through what I went through it most certainly possibly could 351 00:21:00,840 --> 00:21:04,480 Speaker 3: kill him, you know, so there are some serious pathogens 352 00:21:04,520 --> 00:21:08,800 Speaker 3: out there that can be fatal, so it'd be interesting 353 00:21:08,840 --> 00:21:12,040 Speaker 3: to see it was this truly food poisoning or did 354 00:21:12,200 --> 00:21:20,479 Speaker 3: the pathologists just miss diagnose this gastroententtis as being you know, 355 00:21:20,520 --> 00:21:24,320 Speaker 3: this this inflammation of the digestice system, if you will, 356 00:21:24,800 --> 00:21:27,600 Speaker 3: And maybe Roberta just said, yeah, he ate something and 357 00:21:27,920 --> 00:21:30,679 Speaker 3: got sick, you know, and they got influenced by that. 358 00:21:31,160 --> 00:21:34,520 Speaker 3: But could this gastroentritis be a result of being exposed 359 00:21:34,520 --> 00:21:35,440 Speaker 3: to maybe a poison. 360 00:21:49,359 --> 00:21:52,200 Speaker 2: Well, let me reveal something to you before we move 361 00:21:52,280 --> 00:21:57,720 Speaker 2: forward with many other victims. So Roberta is not surprisingly, 362 00:21:57,840 --> 00:22:02,119 Speaker 2: i'm sure, taking out life insurance policies on all of 363 00:22:02,160 --> 00:22:06,520 Speaker 2: these people, essentially not everybody, but pretty much all of them, 364 00:22:07,000 --> 00:22:09,720 Speaker 2: ranging from fifty dollars to five hundred and fifty dollars 365 00:22:09,880 --> 00:22:12,919 Speaker 2: which would have been you know, in the thousands on 366 00:22:13,240 --> 00:22:16,600 Speaker 2: many of these family members. So what she would do 367 00:22:16,800 --> 00:22:20,960 Speaker 2: is take out the policy a year before they died, 368 00:22:21,240 --> 00:22:23,199 Speaker 2: and then she would kill them, and she would of 369 00:22:23,200 --> 00:22:25,760 Speaker 2: course be the beneficiary. So I just wanted you to 370 00:22:25,840 --> 00:22:28,320 Speaker 2: keep that in mind, because I'm sure you wanted to 371 00:22:28,359 --> 00:22:30,680 Speaker 2: know what a motive was, but I would have guessed. 372 00:22:30,680 --> 00:22:33,560 Speaker 2: I'm sure you would have guessed that money was the motive, obviously, 373 00:22:34,080 --> 00:22:38,439 Speaker 2: but there are so many more. We left off with 374 00:22:39,040 --> 00:22:43,160 Speaker 2: the three year old girl who died of gastro enteritis, 375 00:22:43,880 --> 00:22:47,240 Speaker 2: and a year later, so remember we go by years here, 376 00:22:47,359 --> 00:22:52,680 Speaker 2: a year later, Roberta's mother dies, same way. I mean, 377 00:22:53,119 --> 00:22:55,760 Speaker 2: we've talked about people who have killed family members, but 378 00:22:55,840 --> 00:22:56,920 Speaker 2: this is next level. 379 00:22:56,960 --> 00:22:59,040 Speaker 1: It's like anybody who comes into her household. 380 00:22:59,400 --> 00:23:03,200 Speaker 3: She's obviously going after people she has access to. And 381 00:23:03,920 --> 00:23:09,119 Speaker 3: you know, she's either gaining access through developing relationships with men, 382 00:23:09,440 --> 00:23:13,679 Speaker 3: or she's gaining access, you know, to family members. In 383 00:23:13,760 --> 00:23:18,280 Speaker 3: many ways, this is not a very sophisticated offender. This 384 00:23:18,440 --> 00:23:22,719 Speaker 3: is just somebody who is living in an environment in 385 00:23:22,760 --> 00:23:25,679 Speaker 3: which she can get away with this. And as she 386 00:23:25,800 --> 00:23:29,280 Speaker 3: gets away with these crimes, it just emboldens her to 387 00:23:29,400 --> 00:23:30,000 Speaker 3: keep going. 388 00:23:30,240 --> 00:23:32,160 Speaker 2: Well, one of the things that I talk about in 389 00:23:32,200 --> 00:23:35,040 Speaker 2: my books is killers in the way that they look. 390 00:23:36,160 --> 00:23:38,640 Speaker 2: So you know, Edward Ruloff, which was from my book 391 00:23:38,680 --> 00:23:42,000 Speaker 2: Call That Is Wicked, looked like a country gentleman. He 392 00:23:42,200 --> 00:23:47,639 Speaker 2: spoke eloquently, he was well educated, self educated, but well educated, 393 00:23:48,200 --> 00:23:52,320 Speaker 2: and he did not look like an untrustworthy person. And 394 00:23:52,359 --> 00:23:54,760 Speaker 2: this is a time period when a man's handshake is 395 00:23:54,800 --> 00:24:00,359 Speaker 2: plenty for people. And this does spill over, of course 396 00:24:00,640 --> 00:24:04,720 Speaker 2: into the twentieth century. So ROBERTA, I'm showing you a 397 00:24:04,720 --> 00:24:07,480 Speaker 2: picture of her now lovely looking woman, I mean, and 398 00:24:07,560 --> 00:24:09,720 Speaker 2: I'll show you one a little bit further down where 399 00:24:09,720 --> 00:24:11,600 Speaker 2: you can sort of see a bigger picture of her. 400 00:24:12,080 --> 00:24:16,480 Speaker 2: But this is not someone at all you would target 401 00:24:16,600 --> 00:24:20,280 Speaker 2: and say, boy, she really looks, you know, suspicious in 402 00:24:20,359 --> 00:24:23,280 Speaker 2: any way. She looks sort of like an older, older 403 00:24:23,320 --> 00:24:27,640 Speaker 2: mother or a grandmother, a young grandmother. This would throw 404 00:24:27,720 --> 00:24:30,879 Speaker 2: me off completely if I were an investigator, and I 405 00:24:30,880 --> 00:24:33,720 Speaker 2: would just think in the nineteen fifties, a male investigator 406 00:24:33,720 --> 00:24:36,400 Speaker 2: would look at this woman and say, no way, no way, 407 00:24:36,480 --> 00:24:37,760 Speaker 2: this is happening, right. 408 00:24:37,640 --> 00:24:39,760 Speaker 3: I mean she yeah, she just looks like a pleasant, 409 00:24:40,040 --> 00:24:45,159 Speaker 3: older lady. But this is where these killers, these serial predators, 410 00:24:46,080 --> 00:24:50,840 Speaker 3: they don't always look like the boogeyman or the boogey woman, 411 00:24:51,320 --> 00:24:55,960 Speaker 3: right yeah, And that's where people can get lured into. 412 00:24:56,520 --> 00:24:59,440 Speaker 3: We all are biased in terms of judging somebody else. 413 00:24:59,520 --> 00:25:03,160 Speaker 3: And if you have somebody that looks pleasant, looks attractive, 414 00:25:03,720 --> 00:25:08,600 Speaker 3: and acts a certain way your defenses go down. You know, 415 00:25:08,680 --> 00:25:12,440 Speaker 3: you kind of become more trusting of that person. And 416 00:25:12,480 --> 00:25:15,880 Speaker 3: that's where some of these killers, you know, and notably 417 00:25:15,920 --> 00:25:18,919 Speaker 3: somebody like a Ted Bundy, who was considered to be 418 00:25:19,160 --> 00:25:23,600 Speaker 3: a physically attractive man, Well, he could take advantage of 419 00:25:23,920 --> 00:25:27,720 Speaker 3: that physical attribute to put his victims at a kind 420 00:25:27,760 --> 00:25:31,840 Speaker 3: of a lower sense of security in order for him 421 00:25:31,880 --> 00:25:34,320 Speaker 3: to be able to get closer to the victims, you know, 422 00:25:34,600 --> 00:25:38,760 Speaker 3: And that's just reality. There are some of these offenders that, 423 00:25:39,000 --> 00:25:44,879 Speaker 3: by any measure of physical characteristics look like the Boogeyman. 424 00:25:45,600 --> 00:25:49,440 Speaker 3: But you know, these offenders will capitalize on their physical 425 00:25:49,480 --> 00:25:52,800 Speaker 3: attributes in order to be able to further victimize. 426 00:25:52,880 --> 00:25:57,080 Speaker 2: Well, she is unassuming with two lines underneath it. 427 00:25:57,160 --> 00:25:58,560 Speaker 1: She seems unassuming to me. 428 00:25:59,320 --> 00:26:03,920 Speaker 2: Not surprised. Her mother dies and a few years later 429 00:26:04,119 --> 00:26:08,160 Speaker 2: she meets another man. He is a reverend and very 430 00:26:08,200 --> 00:26:11,439 Speaker 2: respected member of the community. His name is William Elder, Senior, 431 00:26:11,480 --> 00:26:13,200 Speaker 2: and this is how she ends up with her last name, 432 00:26:13,280 --> 00:26:17,520 Speaker 2: ROBERTA Elder. So they are married and she sort of 433 00:26:17,520 --> 00:26:22,040 Speaker 2: inherits five step children. They are like fifteen and nine 434 00:26:22,400 --> 00:26:26,399 Speaker 2: and you know, other various ages, and they're all living 435 00:26:26,440 --> 00:26:27,520 Speaker 2: together in Atlanta. 436 00:26:27,880 --> 00:26:30,080 Speaker 1: Yeah, I know the. 437 00:26:30,080 --> 00:26:33,800 Speaker 2: Reverend Elder had just lost his wife the year before 438 00:26:34,119 --> 00:26:38,320 Speaker 2: to influenza, and not to Roberta. I think this was 439 00:26:38,359 --> 00:26:41,800 Speaker 2: a legitimate case of flu and they get married to 440 00:26:41,880 --> 00:26:42,720 Speaker 2: less than a year later. 441 00:26:42,760 --> 00:26:44,480 Speaker 1: This doesn't surprise me, of course at all. 442 00:26:44,560 --> 00:26:46,920 Speaker 2: That would have been pretty typical of a man, especially 443 00:26:47,000 --> 00:26:50,320 Speaker 2: one with kids, you know, who needed a maternal figure 444 00:26:50,359 --> 00:26:53,840 Speaker 2: in the house, would have done so. When she joins 445 00:26:53,920 --> 00:26:58,600 Speaker 2: the house, we very quickly, probably within about looks like 446 00:26:58,640 --> 00:27:02,120 Speaker 2: to me, about six months, two of the kids die, 447 00:27:03,160 --> 00:27:06,119 Speaker 2: the nine year old and the fifteen year old. Now 448 00:27:06,280 --> 00:27:09,360 Speaker 2: this is where I'm confused. Their causes of death are 449 00:27:09,400 --> 00:27:14,199 Speaker 2: listed as pneumonia. Is it just me or if she 450 00:27:14,400 --> 00:27:17,159 Speaker 2: is using the same thing to kill all of these people? 451 00:27:17,280 --> 00:27:20,119 Speaker 2: It feels like the symptoms are all over the place. 452 00:27:20,359 --> 00:27:25,120 Speaker 2: I mean, I know we talked about malnutrition, but food poisoning, pneumonia, 453 00:27:25,359 --> 00:27:28,960 Speaker 2: respiratory problems. I don't know what's going on. Is there 454 00:27:29,000 --> 00:27:31,680 Speaker 2: one thing that can mimic all different types of diseases? 455 00:27:31,960 --> 00:27:33,920 Speaker 3: Well, I don't know about that, you know, but when 456 00:27:33,960 --> 00:27:37,280 Speaker 3: you mentioned pneumonia, I went back to, you know, the 457 00:27:37,359 --> 00:27:41,080 Speaker 3: child that had the respiratory contribution to cause of death, 458 00:27:41,640 --> 00:27:44,880 Speaker 3: you know, and so that may be something that would 459 00:27:44,920 --> 00:27:49,399 Speaker 3: indicate there was something similar done to these children. She 460 00:27:49,960 --> 00:27:53,240 Speaker 3: could be multi modal in terms of what she's doing, 461 00:27:53,480 --> 00:27:57,280 Speaker 3: you know, it varies from victim to victim, or maybe 462 00:27:57,440 --> 00:28:03,240 Speaker 3: she is using something that does cause different types of 463 00:28:03,240 --> 00:28:06,679 Speaker 3: symptoms and different people because we all have different ways 464 00:28:06,720 --> 00:28:09,720 Speaker 3: that we react. Our bodies were just different, you know. 465 00:28:09,880 --> 00:28:12,960 Speaker 3: And so the symptoms that one person may have when 466 00:28:13,000 --> 00:28:16,359 Speaker 3: exposed to a substance could be different than symptoms at 467 00:28:16,400 --> 00:28:21,119 Speaker 3: another person would exhibit, or they're dying at different stages 468 00:28:21,160 --> 00:28:26,879 Speaker 3: within the development of what ultimately causes the death. 469 00:28:27,080 --> 00:28:29,320 Speaker 2: Well, I'm going to tell you a little story inside 470 00:28:29,359 --> 00:28:32,240 Speaker 2: this story, and maybe it'll give us some clarity on 471 00:28:32,359 --> 00:28:35,359 Speaker 2: how the first child died, the one who was described 472 00:28:35,400 --> 00:28:39,840 Speaker 2: as who died from malnutrition with respiratory problems. So the 473 00:28:39,920 --> 00:28:43,400 Speaker 2: reverend not surprisingly gets sick, probably about a year after 474 00:28:43,400 --> 00:28:46,600 Speaker 2: they're married. His children. Two of his kids have died, 475 00:28:46,760 --> 00:28:49,240 Speaker 2: and now he feels very sick after eating a lunch 476 00:28:49,320 --> 00:28:52,520 Speaker 2: of bananas and cheese at his job. He works at 477 00:28:52,520 --> 00:28:57,920 Speaker 2: a construction site. So, according to a journalist named William Falkes, 478 00:28:58,040 --> 00:29:01,120 Speaker 2: who covered the case for the black newspaper The Pittsburgh courier. 479 00:29:01,840 --> 00:29:06,280 Speaker 2: He said that the reverend started vomiting and sweating. His 480 00:29:06,400 --> 00:29:11,640 Speaker 2: stomach was real sick. Okay, so before you comment on that, 481 00:29:11,720 --> 00:29:14,720 Speaker 2: let me tell you this. Roberta calls the doctor. The 482 00:29:14,800 --> 00:29:20,600 Speaker 2: doctor gives some medicine, and Roberta says, what should I do? 483 00:29:20,640 --> 00:29:23,480 Speaker 2: And the doctor says, give him the medicine. If things 484 00:29:23,480 --> 00:29:28,320 Speaker 2: get worse, call me back. So she didn't. She waits 485 00:29:28,400 --> 00:29:31,760 Speaker 2: until he is basically on death's door, calls the doctor, 486 00:29:31,880 --> 00:29:35,160 Speaker 2: and then the reverend passes away on August twenty first, 487 00:29:35,360 --> 00:29:41,200 Speaker 2: nineteen fifty two. So here's the description of his body. Okay, 488 00:29:41,520 --> 00:29:44,000 Speaker 2: they at first thought that this was food poisoning, which 489 00:29:44,080 --> 00:29:47,040 Speaker 2: of course we've heard of before. That's what she said. 490 00:29:47,160 --> 00:29:49,600 Speaker 2: She said, I think he got sick from bad bananas 491 00:29:49,680 --> 00:29:54,840 Speaker 2: or something. But here's how the coroner described his body. 492 00:29:55,280 --> 00:30:00,400 Speaker 2: The reverend's body is described as emaciated and reportedly add 493 00:30:00,520 --> 00:30:05,480 Speaker 2: multiple ruddy sores on it, and this is what makes 494 00:30:05,600 --> 00:30:10,000 Speaker 2: his personal doctor suspicious. So emaciated again, are we now 495 00:30:10,040 --> 00:30:13,840 Speaker 2: thinking there's a poison that actually caused over time, maybe 496 00:30:13,880 --> 00:30:17,200 Speaker 2: slow poisoning that caused this in the sun will he also. 497 00:30:17,080 --> 00:30:21,280 Speaker 3: Yes, I think you're looking at chronic exposure to something 498 00:30:21,840 --> 00:30:28,320 Speaker 3: and the sores on his body. There's something that's tickling 499 00:30:28,360 --> 00:30:30,400 Speaker 3: the back of my brain about what that might have 500 00:30:30,480 --> 00:30:33,680 Speaker 3: caused that, But right now I'm drawing a blank, you know. 501 00:30:33,760 --> 00:30:39,080 Speaker 3: But of course there's your common poisons that are being employed, 502 00:30:39,280 --> 00:30:42,120 Speaker 3: such as your arsenics and your strict nines, you know, 503 00:30:42,160 --> 00:30:46,440 Speaker 3: and maybe there's something going on there. But there's no 504 00:30:46,560 --> 00:30:50,200 Speaker 3: question this appears to be chronic oral ingestion of some 505 00:30:50,240 --> 00:30:51,040 Speaker 3: sort of toxin. 506 00:30:51,400 --> 00:30:51,600 Speaker 1: You know. 507 00:30:51,640 --> 00:30:55,000 Speaker 2: We talked about this in another case where the skin 508 00:30:55,320 --> 00:30:58,280 Speaker 2: was showing kind of rash and it turned out to 509 00:30:58,360 --> 00:31:02,680 Speaker 2: be arsenic, and it was like a weird infection, and 510 00:31:02,760 --> 00:31:05,920 Speaker 2: I think that what might be happening here, whatever it is, 511 00:31:06,080 --> 00:31:11,160 Speaker 2: Finally somebody thinks something is wrong with this family, and 512 00:31:11,320 --> 00:31:15,800 Speaker 2: his doctor really becomes alarmed because then he remembers there 513 00:31:15,800 --> 00:31:18,880 Speaker 2: are all of these other sudden deaths at the home. 514 00:31:19,520 --> 00:31:23,200 Speaker 2: He's thinking that this is really somebody's in danger here, 515 00:31:23,280 --> 00:31:26,840 Speaker 2: so he asks for a complete autopsy to be performed 516 00:31:26,880 --> 00:31:31,560 Speaker 2: on the reverend. He said that pneumonia and arsenic poisoning 517 00:31:31,600 --> 00:31:35,840 Speaker 2: can present similar symptoms. So the coroner decided, well, it's 518 00:31:35,880 --> 00:31:39,000 Speaker 2: this pathologist here. I guess, yes, there were pathologists in 519 00:31:39,040 --> 00:31:42,840 Speaker 2: the fifties, so pathologists decided to look for traces of 520 00:31:42,960 --> 00:31:48,760 Speaker 2: arsenic specifically. So this general practitioner said, I know that 521 00:31:49,000 --> 00:31:51,840 Speaker 2: this can seem like arsenic poisoning. I need you to 522 00:31:51,880 --> 00:31:55,080 Speaker 2: test for it. And so a toxicologist came back and said, 523 00:31:55,600 --> 00:31:59,920 Speaker 2: we found that he was simply loaded with the poison arsenic. 524 00:32:00,800 --> 00:32:04,560 Speaker 2: And of course ROBERTA. Elder is the number one suspect here. 525 00:32:04,720 --> 00:32:09,280 Speaker 3: Yeah, so it's just now that somebody's getting suspicious. But 526 00:32:09,360 --> 00:32:11,560 Speaker 3: it's sort of like, oh, you have I don't know 527 00:32:11,600 --> 00:32:13,280 Speaker 3: how much she had killed up to this point, but 528 00:32:13,360 --> 00:32:17,280 Speaker 3: you know, eight dead, and then now you got nine dead, 529 00:32:17,320 --> 00:32:19,680 Speaker 3: and now you get suspicious. You know, it seems like 530 00:32:19,760 --> 00:32:22,080 Speaker 3: it's a little late in the ballgame. 531 00:32:21,800 --> 00:32:23,120 Speaker 1: Right absolutely. 532 00:32:23,160 --> 00:32:25,680 Speaker 2: I mean, okay, So if I count these up, we've 533 00:32:25,720 --> 00:32:30,440 Speaker 2: got the second husband, John Woodward. Then we've got the 534 00:32:30,480 --> 00:32:35,560 Speaker 2: teenage son, Willie. Then we've got her third husband and 535 00:32:35,680 --> 00:32:38,840 Speaker 2: his little grandson, so that's I think we're up to four. 536 00:32:39,400 --> 00:32:42,320 Speaker 2: Then we've got the three year old cousin. Then we've 537 00:32:42,360 --> 00:32:45,080 Speaker 2: got the mom, so now we're up to six. Then 538 00:32:45,120 --> 00:32:50,040 Speaker 2: you've got William Elders the reverend's two kids, so that's eight. 539 00:32:50,200 --> 00:32:51,440 Speaker 2: Then you've got William Elder. 540 00:32:51,520 --> 00:32:52,160 Speaker 1: That's nine. 541 00:32:52,400 --> 00:32:53,200 Speaker 3: Yeah. 542 00:32:53,320 --> 00:32:57,680 Speaker 2: Okay, So she comes in front of the coroner's jury 543 00:32:57,920 --> 00:32:59,120 Speaker 2: and denies any of this. 544 00:32:59,360 --> 00:33:01,640 Speaker 1: She said, I took care of my husband really well. 545 00:33:01,720 --> 00:33:02,720 Speaker 1: I didn't do anything. 546 00:33:02,800 --> 00:33:06,840 Speaker 2: But then the doctor testified and said, not only did 547 00:33:06,960 --> 00:33:12,400 Speaker 2: Roberta avoid contacting me when my patient was dying, he 548 00:33:12,520 --> 00:33:16,080 Speaker 2: also said that the reverence and here's the quote, skin 549 00:33:16,240 --> 00:33:21,280 Speaker 2: had slipped and there were peculiar skin discolorations and sores 550 00:33:21,400 --> 00:33:25,560 Speaker 2: on his body. Now that's not abuse, right, because I 551 00:33:25,560 --> 00:33:29,400 Speaker 2: guess now I'm alarmed about the emaciated comment and these 552 00:33:29,400 --> 00:33:32,480 Speaker 2: weird sores, but I guess we are attributing that to 553 00:33:32,920 --> 00:33:34,640 Speaker 2: arsenic right, Yeah, let's what. 554 00:33:34,760 --> 00:33:37,000 Speaker 3: Was he bedridden for a period of time. Do we 555 00:33:37,040 --> 00:33:39,840 Speaker 3: potentially have some ulcerated sores as a result of not 556 00:33:39,960 --> 00:33:40,880 Speaker 3: being moved around? 557 00:33:41,680 --> 00:33:44,000 Speaker 1: Maybe? I mean, if this is long term, boy, you 558 00:33:44,040 --> 00:33:45,560 Speaker 1: would think so, but I don't know. 559 00:33:46,760 --> 00:33:50,840 Speaker 2: So. Now Roberta's stepchildren are testifying. She has a stepdaughter 560 00:33:50,880 --> 00:33:54,480 Speaker 2: named Dorothy, and she said she once became very ill 561 00:33:54,560 --> 00:33:57,360 Speaker 2: after Roberta gave her a dose of milk of magnesia, 562 00:33:57,920 --> 00:34:01,240 Speaker 2: which is used medicinally for like heart burn and upset stomachs. 563 00:34:01,240 --> 00:34:03,560 Speaker 1: And constipation, and a. 564 00:34:03,800 --> 00:34:08,239 Speaker 2: Sister Viola backs that story up by saying that she 565 00:34:08,440 --> 00:34:12,920 Speaker 2: had been sick and even vomited after Roberta gave her 566 00:34:12,960 --> 00:34:16,680 Speaker 2: some medicine, which also was probably milk of magnesia. And 567 00:34:16,719 --> 00:34:20,279 Speaker 2: then another one of the Reverence kids said he was 568 00:34:20,320 --> 00:34:24,600 Speaker 2: suffering from the illness twice following meals, so he stopped 569 00:34:24,640 --> 00:34:28,000 Speaker 2: eating over there. He was like, forget this, I'm not 570 00:34:28,160 --> 00:34:32,960 Speaker 2: eating her food anymore. He said, I thought that Roberta 571 00:34:33,160 --> 00:34:36,760 Speaker 2: was poisoning people. So now we're at a point where 572 00:34:37,000 --> 00:34:40,680 Speaker 2: I think she's getting sloppy. She seems to be trying 573 00:34:40,719 --> 00:34:44,880 Speaker 2: to kill everyone in sight. Is she not scared of 574 00:34:45,000 --> 00:34:49,000 Speaker 2: being caught or is she that blinded? And I don't 575 00:34:49,040 --> 00:34:51,640 Speaker 2: know if this is greed anymore. This just seems like 576 00:34:51,920 --> 00:34:54,399 Speaker 2: haphazard at this point. It's like anybody who's in my house, 577 00:34:54,440 --> 00:34:56,200 Speaker 2: I'm going to kill for insurance money. 578 00:34:56,360 --> 00:35:02,800 Speaker 3: Well as she got away with the homicides. That's where 579 00:35:03,000 --> 00:35:06,239 Speaker 3: you know offenders do. They get overly confident, and they 580 00:35:06,280 --> 00:35:12,040 Speaker 3: often start trying to make it easier to commit these crimes. 581 00:35:12,200 --> 00:35:17,400 Speaker 3: They get lax that over confidence oftentimes will get them caught. 582 00:35:17,719 --> 00:35:20,920 Speaker 3: I kind of wonder, you know, when the reverend's wife 583 00:35:20,960 --> 00:35:25,080 Speaker 3: died and he had these five kids. Did she target 584 00:35:25,239 --> 00:35:28,120 Speaker 3: him because all of a sudden she's looking at this 585 00:35:28,360 --> 00:35:33,839 Speaker 3: going kachin right, did she take out life insurance policies 586 00:35:34,040 --> 00:35:36,319 Speaker 3: on him and five kids? Now she has access to 587 00:35:36,440 --> 00:35:38,800 Speaker 3: six people and one foul swoop. 588 00:35:38,600 --> 00:35:41,960 Speaker 2: Yeah, one of who makes money, So she's not killing him. First, 589 00:35:41,960 --> 00:35:43,160 Speaker 2: She's got to get rid of the kid. You know, 590 00:35:43,320 --> 00:35:45,319 Speaker 2: he's stuck with all these kids. So she's getting rid 591 00:35:45,360 --> 00:35:47,960 Speaker 2: of the kids first and then him. But it didn't 592 00:35:47,960 --> 00:35:49,160 Speaker 2: work with a couple of them. 593 00:35:49,440 --> 00:35:52,680 Speaker 3: And you know, in terms of is this purely financially 594 00:35:52,719 --> 00:35:58,040 Speaker 3: motivated or is there an aspect to her that compels 595 00:35:58,080 --> 00:36:01,480 Speaker 3: her to want to kill Yeah, you know this lunch 596 00:36:01,520 --> 00:36:06,680 Speaker 3: ausend type of syndrome that we've talked about before. It 597 00:36:06,760 --> 00:36:10,440 Speaker 3: is interesting. But just the sheer volume of people that 598 00:36:10,480 --> 00:36:14,000 Speaker 3: are so close to her within a relatively short period 599 00:36:14,000 --> 00:36:17,920 Speaker 3: of time, it's stunning that this wasn't caught earlier in 600 00:36:17,960 --> 00:36:18,680 Speaker 3: this series. 601 00:36:18,840 --> 00:36:22,280 Speaker 1: Me too. And you know, I don't know what that means. 602 00:36:22,400 --> 00:36:25,960 Speaker 2: I think it's based on her, the way she looked, 603 00:36:26,040 --> 00:36:27,400 Speaker 2: the way she carried herself. 604 00:36:27,920 --> 00:36:29,600 Speaker 1: I also don't. 605 00:36:29,239 --> 00:36:33,360 Speaker 2: Know if this was a family that had sort of 606 00:36:33,400 --> 00:36:36,520 Speaker 2: a lot of reach into the community. The reverend did, 607 00:36:36,600 --> 00:36:39,600 Speaker 2: so I'm not sure why people didn't sound the alarm. 608 00:36:39,680 --> 00:36:41,920 Speaker 2: And this is not the eighteen hundreds. This is the 609 00:36:42,040 --> 00:36:46,160 Speaker 2: nineteen fifties, where yeah, there were diseases, but we're we're 610 00:36:46,200 --> 00:36:50,440 Speaker 2: not talking about like typhoid or the black plague, you know, 611 00:36:50,440 --> 00:36:53,160 Speaker 2: We're talking about stuff that's not dissimilar form what we 612 00:36:53,239 --> 00:36:57,680 Speaker 2: have now. So they really narrow this down to arsenic 613 00:36:57,760 --> 00:37:00,719 Speaker 2: based pesticide, which is a pin powder. 614 00:37:00,760 --> 00:37:01,880 Speaker 1: Her brother had. 615 00:37:01,719 --> 00:37:05,760 Speaker 2: A farm near Watkinsville, and she would go and visit. Again, 616 00:37:05,960 --> 00:37:09,440 Speaker 2: I am dumbfounded that people can figure out a way 617 00:37:09,680 --> 00:37:12,600 Speaker 2: to cover up the taste of what must have been 618 00:37:12,800 --> 00:37:18,920 Speaker 2: disgusting arsenic based pesticide pink powder, and she gets people 619 00:37:19,040 --> 00:37:21,560 Speaker 2: to eat this or swallow this. Maybe it only takes 620 00:37:21,600 --> 00:37:24,520 Speaker 2: one time, but boy, she must have had the dosages 621 00:37:24,560 --> 00:37:27,399 Speaker 2: down pretty well, except for the two that didn't get 622 00:37:27,520 --> 00:37:28,080 Speaker 2: killed well. 623 00:37:28,080 --> 00:37:30,560 Speaker 3: And that's kind of my guess right there, is that 624 00:37:30,760 --> 00:37:34,680 Speaker 3: I don't know, you know, how foul arsenic or this 625 00:37:35,040 --> 00:37:39,560 Speaker 3: arsenic pesticide actually tastes. I mean, there are toxins that 626 00:37:39,640 --> 00:37:43,440 Speaker 3: are are quite pleasant tasting, you know, Ethlene glycol antifreeze 627 00:37:43,480 --> 00:37:45,520 Speaker 3: is very sweet, tasting, and that's why it can be 628 00:37:45,560 --> 00:37:49,840 Speaker 3: so dangerous to kids and like dogs. If you know, 629 00:37:49,880 --> 00:37:53,040 Speaker 3: there's some anti freeze that's been spilled on the garage floor, 630 00:37:53,080 --> 00:37:57,120 Speaker 3: there's a bottle of this shiny, shiny what looks like gatorade, 631 00:37:57,160 --> 00:38:01,759 Speaker 3: and it tastes good. So it may have a potency 632 00:38:02,719 --> 00:38:05,520 Speaker 3: that allows her to dose it at a fairly low 633 00:38:05,680 --> 00:38:10,040 Speaker 3: level to where it's relatively easy to cover the taste up. 634 00:38:10,760 --> 00:38:13,359 Speaker 2: And I don't think milk of magnesia. I haven't had 635 00:38:13,400 --> 00:38:15,279 Speaker 2: that in a long time, but I don't remember it 636 00:38:15,560 --> 00:38:18,280 Speaker 2: self tasting very good, so maybe that is a smart 637 00:38:18,280 --> 00:38:20,480 Speaker 2: way to mask it. Also, you know, I don't know 638 00:38:20,520 --> 00:38:25,680 Speaker 2: what if it does taste bad. So the toxicologist who 639 00:38:25,760 --> 00:38:28,160 Speaker 2: worked this case in the nineteen fifties was really impressed 640 00:38:28,200 --> 00:38:30,840 Speaker 2: with the police. She said that they brought me fifty 641 00:38:30,840 --> 00:38:35,520 Speaker 2: two items for analysis, everything from food to medicine. And 642 00:38:35,960 --> 00:38:38,600 Speaker 2: she said that at the Georgia Police Academy they told 643 00:38:38,600 --> 00:38:42,279 Speaker 2: the officers to always get the contents of the garbage can, 644 00:38:42,400 --> 00:38:46,080 Speaker 2: and so they did, and one officer brought her a 645 00:38:46,120 --> 00:38:49,799 Speaker 2: bottle of milk of magnesia to analyze, and of course 646 00:38:49,840 --> 00:38:54,200 Speaker 2: it was loaded with arsenic. Here's the problem, Roberta says, 647 00:38:54,600 --> 00:38:58,400 Speaker 2: I didn't do any of this, and they cannot find 648 00:38:58,719 --> 00:39:03,480 Speaker 2: one person who saw her do anything that indicated she 649 00:39:03,600 --> 00:39:07,959 Speaker 2: was putting this pink powder into people's food. And there 650 00:39:07,960 --> 00:39:11,920 Speaker 2: were people who had access to all of this stuff, 651 00:39:12,040 --> 00:39:15,279 Speaker 2: you know, the food in the kitchen, preparing stuff. They 652 00:39:15,280 --> 00:39:18,080 Speaker 2: were really having a hard time figuring out how to 653 00:39:18,120 --> 00:39:21,960 Speaker 2: make this case work because there was no proof that 654 00:39:22,160 --> 00:39:23,799 Speaker 2: she was the one who did this. 655 00:39:24,239 --> 00:39:26,960 Speaker 3: Oh right or no? 656 00:39:27,200 --> 00:39:28,720 Speaker 1: You think this would have been a slam dunk. 657 00:39:28,800 --> 00:39:36,960 Speaker 3: Now, well, there's a pattern, There is an obvious pattern. 658 00:39:37,320 --> 00:39:44,239 Speaker 3: You know, this pattern is circumstantial evidence for sure. Yes, 659 00:39:44,680 --> 00:39:46,960 Speaker 3: you would like to be able to get a witness 660 00:39:46,960 --> 00:39:50,120 Speaker 3: of seeing her. Yeah, she was dumping rat poison into 661 00:39:50,239 --> 00:39:54,319 Speaker 3: milk of magnesia, But in poisoning cases you never get 662 00:39:54,360 --> 00:39:58,480 Speaker 3: to that kind of observation. Right, These poisoners are doing 663 00:39:58,520 --> 00:40:02,239 Speaker 3: it in secret and then hiding this. You know, that's 664 00:40:02,480 --> 00:40:07,040 Speaker 3: it's a very tough witness based case. But circumstances are there? 665 00:40:07,520 --> 00:40:10,160 Speaker 3: Physical evidence is there? Out of her trash can, there's 666 00:40:10,160 --> 00:40:14,319 Speaker 3: milk of magnesia that's loaded with arsenic I think a 667 00:40:14,400 --> 00:40:20,080 Speaker 3: reasonably competent prosecutor would be able to walk this case. 668 00:40:20,520 --> 00:40:22,680 Speaker 3: You know, charge it and just walk it in front 669 00:40:22,680 --> 00:40:25,960 Speaker 3: of the jury and get a conviction without much much trouble. 670 00:40:26,080 --> 00:40:26,799 Speaker 1: Well, I'll tell you. 671 00:40:26,920 --> 00:40:29,719 Speaker 2: They start finding out that she's taken life insurance policies 672 00:40:29,719 --> 00:40:33,760 Speaker 2: out on everybody, and they exhume the bodies of Fannie 673 00:40:33,760 --> 00:40:35,960 Speaker 2: May and Annie Pearl, the fifteen year old and the 674 00:40:36,040 --> 00:40:38,400 Speaker 2: nine year old, and there are trace amounts of arsenic 675 00:40:38,440 --> 00:40:41,759 Speaker 2: found in their hair and their skin tissues. And the 676 00:40:41,920 --> 00:40:46,279 Speaker 2: three children who survived, who all say, Dorothy Viola and 677 00:40:46,360 --> 00:40:50,560 Speaker 2: William Junior all said we have felt sick in the past. 678 00:40:51,200 --> 00:40:54,759 Speaker 2: They were all treated for arsenic exposure because she had 679 00:40:54,800 --> 00:41:00,359 Speaker 2: been slowly poisoning them. Also, it's just really, I mean, 680 00:41:00,360 --> 00:41:03,560 Speaker 2: this is an unbelievable story. And so you know she's 681 00:41:03,600 --> 00:41:06,359 Speaker 2: collected all this money. Now you go ahead and tell 682 00:41:06,360 --> 00:41:07,560 Speaker 2: me what you were going to say, and then I've 683 00:41:07,600 --> 00:41:09,080 Speaker 2: got some more information about motive. 684 00:41:09,320 --> 00:41:12,080 Speaker 3: Yeah, you know the fact that on these Ezoom bodies, 685 00:41:12,120 --> 00:41:16,719 Speaker 3: you know, they're finding arsenic within the hair, and this 686 00:41:16,760 --> 00:41:19,600 Speaker 3: is where you know, working with a good toxicologist. You know, 687 00:41:19,640 --> 00:41:22,680 Speaker 3: the thing that comes to my mind is that you know, 688 00:41:22,719 --> 00:41:25,960 Speaker 3: of course, like with you, you have long hair, well, 689 00:41:26,000 --> 00:41:29,640 Speaker 3: the hair that started growing out of your scalp years 690 00:41:29,640 --> 00:41:32,839 Speaker 3: ago isn't going to have arsenic in it. It's going 691 00:41:32,920 --> 00:41:35,879 Speaker 3: to be the hair that has been growing since you've 692 00:41:35,880 --> 00:41:39,720 Speaker 3: had the exposure. So by taking the length of hair 693 00:41:40,120 --> 00:41:45,880 Speaker 3: and segmenting it from basically scalp towards the end, you 694 00:41:45,920 --> 00:41:49,960 Speaker 3: can determine how long the person was exposed to arsenic. 695 00:41:50,040 --> 00:41:53,160 Speaker 3: So this would be something today that I'd be asking 696 00:41:53,200 --> 00:41:56,600 Speaker 3: a toxicologist can we do this? Is this true? And 697 00:41:56,680 --> 00:42:00,480 Speaker 3: if I can show, Oh, the children have hair, you 698 00:42:00,480 --> 00:42:03,239 Speaker 3: know that's from the distal end though you know it's 699 00:42:03,280 --> 00:42:06,839 Speaker 3: been out there from a time frame prior to them 700 00:42:06,920 --> 00:42:09,719 Speaker 3: moving into the house with Roberta, and then all of 701 00:42:09,719 --> 00:42:12,520 Speaker 3: a sudden, the hair that's grown out from the scalp 702 00:42:12,760 --> 00:42:15,560 Speaker 3: after they've moved into the house with Roberta has arsenic 703 00:42:15,640 --> 00:42:19,320 Speaker 3: in it. Now I've got a timeline based on science, 704 00:42:19,360 --> 00:42:20,680 Speaker 3: based on physical evidence. 705 00:42:21,239 --> 00:42:23,400 Speaker 1: Well, let me tell you a little bit more about motive. 706 00:42:23,480 --> 00:42:24,759 Speaker 1: This is really interesting. 707 00:42:25,200 --> 00:42:28,560 Speaker 2: Roberta was a treasurer for a local chapter of an 708 00:42:28,640 --> 00:42:33,080 Speaker 2: organization called the Heroines of Jericho, which is a fraternal organization. 709 00:42:34,000 --> 00:42:37,120 Speaker 2: She was a treasurer, which seems like now, of course hindsight, 710 00:42:37,239 --> 00:42:40,759 Speaker 2: it's a bad idea. She was being accused of misplacing 711 00:42:40,800 --> 00:42:44,080 Speaker 2: a fairly large sum of money in that role of treasurer, 712 00:42:44,719 --> 00:42:47,960 Speaker 2: and it sounds like that would have been the motive 713 00:42:48,280 --> 00:42:50,600 Speaker 2: that she was going to have to repay this back. 714 00:42:51,320 --> 00:42:53,520 Speaker 2: And you know, but she's been doing this for decades. 715 00:42:53,600 --> 00:42:56,759 Speaker 2: But money is obviously a thing for Roberta. I have 716 00:42:56,880 --> 00:42:59,960 Speaker 2: not read what she spent it on. I have not 717 00:43:00,200 --> 00:43:03,520 Speaker 2: read about a lavish lifestyle. I don't know what she 718 00:43:03,600 --> 00:43:07,040 Speaker 2: spent it on. But she was going after money, for sure. 719 00:43:07,400 --> 00:43:12,600 Speaker 3: Yeah, financially motivated, but with the volume of cases, it 720 00:43:12,760 --> 00:43:17,840 Speaker 3: seems like there may be more than just financial motivation 721 00:43:17,960 --> 00:43:20,960 Speaker 3: with her. This is where she actually enjoys the process, 722 00:43:21,719 --> 00:43:24,920 Speaker 3: the getting away with the crime, possibly the power that 723 00:43:24,960 --> 00:43:28,120 Speaker 3: she has over these victims. You know, there may be 724 00:43:28,160 --> 00:43:33,160 Speaker 3: that psychological gratification she's getting by committing these crimes, but 725 00:43:33,200 --> 00:43:36,960 Speaker 3: of course she wants to also get the financial assets. 726 00:43:37,200 --> 00:43:37,360 Speaker 1: You know. 727 00:43:37,520 --> 00:43:41,600 Speaker 2: Ultimately she goes on trial, she pleads not guilty, She says, 728 00:43:41,640 --> 00:43:45,200 Speaker 2: I didn't do any of this. Not surprisingly, she is 729 00:43:45,520 --> 00:43:50,840 Speaker 2: convicted and sentenced to life in prison. She never ever 730 00:43:51,080 --> 00:43:56,080 Speaker 2: admits that she did anything wrong, never to anybody. And 731 00:43:56,360 --> 00:43:59,279 Speaker 2: you know, this is arguably a circumstantial case. I know 732 00:43:59,320 --> 00:44:03,720 Speaker 2: it's strong, circumstantial evidence, but she keeps her mouth shut 733 00:44:03,760 --> 00:44:07,640 Speaker 2: for the rest of her life. And what's interesting about 734 00:44:07,640 --> 00:44:10,480 Speaker 2: this story is I think the details are really compelling. 735 00:44:11,120 --> 00:44:13,799 Speaker 2: I had never heard of this case before. I mean ten, 736 00:44:14,000 --> 00:44:17,280 Speaker 2: nine to ten people, I said at least ten, because 737 00:44:18,080 --> 00:44:20,520 Speaker 2: I don't know about the children, the two little kids 738 00:44:20,520 --> 00:44:21,920 Speaker 2: that she had earlier. 739 00:44:22,239 --> 00:44:23,080 Speaker 1: You know, we don't know. 740 00:44:23,760 --> 00:44:27,399 Speaker 2: So why do you think that this case fell under 741 00:44:27,400 --> 00:44:31,880 Speaker 2: the radar of even the black press to a certain extent. 742 00:44:32,280 --> 00:44:36,760 Speaker 3: I'm not really sure, like in this particular case, why 743 00:44:36,840 --> 00:44:41,400 Speaker 3: it didn't get the attention of the public. First. It 744 00:44:41,440 --> 00:44:43,879 Speaker 3: may be due to her race and the victim's race. 745 00:44:45,000 --> 00:44:51,360 Speaker 3: Who becomes infamous as a serial predator, serial killer that's 746 00:44:51,719 --> 00:44:55,080 Speaker 3: driven by the media, that's not driven by, for example, 747 00:44:55,160 --> 00:45:00,440 Speaker 3: law enforcement. The media are going to cover cases which 748 00:45:00,920 --> 00:45:06,120 Speaker 3: is going to have sort of wide appeal, and that 749 00:45:06,239 --> 00:45:09,720 Speaker 3: may be part of it is that the major media 750 00:45:09,719 --> 00:45:14,239 Speaker 3: in the area didn't think that telling the story of 751 00:45:14,320 --> 00:45:16,960 Speaker 3: these victims and that the story of Roberta was going 752 00:45:17,000 --> 00:45:20,200 Speaker 3: to be something that there would have been readers would 753 00:45:20,200 --> 00:45:27,320 Speaker 3: have really glommed onto. It's kind of over the decades, 754 00:45:27,360 --> 00:45:30,440 Speaker 3: with the various cases I've been involved with or aware of. 755 00:45:30,560 --> 00:45:33,440 Speaker 3: As to which cases seem to become popular or not. 756 00:45:34,239 --> 00:45:37,719 Speaker 3: It's fickle. Yeah, there's cases. As an example, you know, 757 00:45:37,840 --> 00:45:41,520 Speaker 3: Eastere a rapist, received some public attention during the time 758 00:45:41,600 --> 00:45:44,560 Speaker 3: that those crimes were being committed, but very quickly was 759 00:45:44,600 --> 00:45:47,880 Speaker 3: forgotten about. You know, That's why it was such a huge, 760 00:45:49,080 --> 00:45:53,960 Speaker 3: high publicity case when all of a sudden, Michelle McNamar 761 00:45:54,000 --> 00:45:58,080 Speaker 3: renames Easter a rapist, Golden State killer, and then everybody's going, 762 00:45:58,080 --> 00:46:00,640 Speaker 3: what is this? You know, what is this huge case 763 00:46:00,680 --> 00:46:03,839 Speaker 3: that we didn't know about before? You know, I've got 764 00:46:03,880 --> 00:46:07,160 Speaker 3: cases that I think are just absolutely fascinating cases or 765 00:46:07,200 --> 00:46:09,719 Speaker 3: the public should know about, and the media just goes no, 766 00:46:10,000 --> 00:46:11,680 Speaker 3: not interested. I just don't know. 767 00:46:11,920 --> 00:46:14,640 Speaker 2: Well, you look at Samuel Little, you know, a prolific 768 00:46:14,719 --> 00:46:18,200 Speaker 2: serial killer, and I don't see tons of Netflix and 769 00:46:18,280 --> 00:46:21,160 Speaker 2: Hulu stuff about him. I don't know if I've seen 770 00:46:21,200 --> 00:46:23,480 Speaker 2: anything as a matter of fact about Samuel Little. 771 00:46:23,719 --> 00:46:26,120 Speaker 3: I'm sorry to interrupt, but this goes towards well, who 772 00:46:26,120 --> 00:46:26,960 Speaker 3: are his victims? 773 00:46:27,160 --> 00:46:27,399 Speaker 1: Right? 774 00:46:27,600 --> 00:46:31,760 Speaker 3: His victims are out of lower income, impoverished, not all black, 775 00:46:32,040 --> 00:46:35,680 Speaker 3: but sex workers. And one of the things that, like 776 00:46:35,920 --> 00:46:38,319 Speaker 3: what I've seen on the media, you know, let's say 777 00:46:38,360 --> 00:46:41,919 Speaker 3: on the TV side, they shy away from telling those 778 00:46:42,160 --> 00:46:47,919 Speaker 3: stories because the average consumer of true crime looks at 779 00:46:47,920 --> 00:46:51,319 Speaker 3: that victim and says, well, I don't do that work, 780 00:46:51,320 --> 00:46:55,240 Speaker 3: I don't put myself in that environment, and they don't 781 00:46:55,280 --> 00:46:58,480 Speaker 3: relate to that victim. It's just like, how come you know, 782 00:46:58,920 --> 00:47:02,640 Speaker 3: when you have all these men in gangs that are 783 00:47:02,680 --> 00:47:08,880 Speaker 3: being killed. Oftentimes it's a single sentence, you know, in 784 00:47:08,920 --> 00:47:12,360 Speaker 3: the newspaper on a website about it happening. Well, the 785 00:47:12,400 --> 00:47:15,239 Speaker 3: people who are reading go, well, I'm not in a gang. 786 00:47:15,320 --> 00:47:17,680 Speaker 3: That's never going to happen to me. So these victims 787 00:47:17,680 --> 00:47:21,279 Speaker 3: aren't relatable to the people who are actually the consumers 788 00:47:21,480 --> 00:47:24,920 Speaker 3: of the media side. And that's where I'm guessing with 789 00:47:25,160 --> 00:47:29,560 Speaker 3: Roberta's case and all those victims, the consumers of the 790 00:47:29,719 --> 00:47:34,440 Speaker 3: media you know that's covering or at least aware of 791 00:47:34,480 --> 00:47:38,239 Speaker 3: that case. The media is going, well, our readership is 792 00:47:38,320 --> 00:47:40,839 Speaker 3: not going to be interested in this, so we're not 793 00:47:40,920 --> 00:47:43,680 Speaker 3: going to put it out there. And it's tragic because 794 00:47:43,760 --> 00:47:49,239 Speaker 3: now this is where you have these victims that have 795 00:47:49,520 --> 00:47:50,960 Speaker 3: just been forgotten. 796 00:47:51,520 --> 00:47:51,800 Speaker 1: Yep. 797 00:47:52,640 --> 00:47:55,800 Speaker 2: And then I think you can have an instance where 798 00:47:56,800 --> 00:47:59,840 Speaker 2: something so bizarre happens that it supersedes that like a 799 00:48:00,080 --> 00:48:06,080 Speaker 2: Jeffrey Dolmer, which his victims were people of color. They were, 800 00:48:06,360 --> 00:48:11,200 Speaker 2: you know, people living the stupidest phrase ever, the alternative lifestyle. 801 00:48:11,920 --> 00:48:13,719 Speaker 1: And look what happens. 802 00:48:14,320 --> 00:48:16,839 Speaker 2: The police didn't give a crap about those victims either, 803 00:48:17,120 --> 00:48:21,760 Speaker 2: until we find out what a horrific person Jeffrey Delmer 804 00:48:22,000 --> 00:48:23,800 Speaker 2: was and what he did, and then all of a sudden, 805 00:48:23,920 --> 00:48:27,239 Speaker 2: the story is huge and he becomes infamous based on 806 00:48:27,280 --> 00:48:28,279 Speaker 2: how sick he was. 807 00:48:28,600 --> 00:48:29,760 Speaker 1: Do you think that's the case? 808 00:48:29,880 --> 00:48:29,960 Speaker 2: Oh? 809 00:48:30,040 --> 00:48:32,560 Speaker 3: Yeah, No, with Dahmer, that most certainly was the case. 810 00:48:32,600 --> 00:48:35,560 Speaker 3: It wasn't you know, the early reporting was not victim centric. 811 00:48:36,040 --> 00:48:39,560 Speaker 3: It was the gruesomeness of the crimes, the cannibalism that 812 00:48:39,600 --> 00:48:42,640 Speaker 3: he was doing, the ritualistic aspect, trying to create the zombies. 813 00:48:43,040 --> 00:48:46,880 Speaker 3: You know, it was such an unusual case, but there 814 00:48:47,040 --> 00:48:52,480 Speaker 3: wasn't any attention based on Okay, who were his victims. Again, 815 00:48:52,560 --> 00:48:56,560 Speaker 3: this is something that the media drives, and I know 816 00:48:56,719 --> 00:49:00,759 Speaker 3: there's been sum attempt by the media to correct that, 817 00:49:01,000 --> 00:49:04,480 Speaker 3: but it's still to this day going to be what 818 00:49:04,520 --> 00:49:06,000 Speaker 3: the media thinks will sell. 819 00:49:06,760 --> 00:49:11,440 Speaker 1: Yeah, sorry about that. Speaking as someone who's in the media. 820 00:49:11,600 --> 00:49:14,279 Speaker 2: Sorry, I apologize on behalf of all of us. 821 00:49:16,320 --> 00:49:17,520 Speaker 1: Well, what a story. 822 00:49:17,600 --> 00:49:22,760 Speaker 2: And I am interested because I feel like Roberta really 823 00:49:22,800 --> 00:49:26,640 Speaker 2: in some ways might have benefited from her race. It 824 00:49:26,680 --> 00:49:29,360 Speaker 2: could have been from being black, because maybe she was 825 00:49:29,440 --> 00:49:33,439 Speaker 2: overlooked by white police. I mean, for a very very 826 00:49:33,480 --> 00:49:36,040 Speaker 2: long time, nobody even thought that these were murders. I mean, 827 00:49:36,080 --> 00:49:39,560 Speaker 2: to have that many people in your family die. I 828 00:49:39,600 --> 00:49:43,160 Speaker 2: don't know what happened there, but anyway, it's a fascinating case. 829 00:49:43,400 --> 00:49:47,360 Speaker 2: I sometimes am baffled by the reaction that the police have, 830 00:49:47,480 --> 00:49:49,320 Speaker 2: but it's hindsight is twenty twenty. 831 00:49:49,360 --> 00:49:51,440 Speaker 1: What are you going to do? This is the nineteen fifties, 832 00:49:51,880 --> 00:49:53,120 Speaker 1: and they're going. 833 00:49:52,760 --> 00:49:57,040 Speaker 2: Off of what they believe a killer slash serial killer 834 00:49:57,080 --> 00:49:59,920 Speaker 2: would look like and act like. And she did not 835 00:49:59,920 --> 00:50:01,600 Speaker 2: know don't fit the bill for them. 836 00:50:01,680 --> 00:50:04,520 Speaker 3: Yeah, now, somebody dropped the ball along the way. There 837 00:50:04,560 --> 00:50:07,480 Speaker 3: should there should have been some observation of this pattern 838 00:50:07,520 --> 00:50:10,360 Speaker 3: occurring well before it got up to nine or ten victims. 839 00:50:10,520 --> 00:50:11,399 Speaker 1: I agree. 840 00:50:11,719 --> 00:50:14,560 Speaker 3: Well, again, thank you for all the effort and telling 841 00:50:14,640 --> 00:50:18,440 Speaker 3: this this horrible story, and and you know it's good 842 00:50:18,440 --> 00:50:19,560 Speaker 3: that you brought attention to it. 843 00:50:19,640 --> 00:50:20,839 Speaker 1: Thank you. I'll see you next week. 844 00:50:21,080 --> 00:50:21,600 Speaker 3: Sounds good. 845 00:50:25,880 --> 00:50:27,920 Speaker 1: This has been an exactly Right production. 846 00:50:28,360 --> 00:50:31,600 Speaker 3: For our sources and show notes go to Exactlyrightmedia dot 847 00:50:31,600 --> 00:50:33,799 Speaker 3: com slash Buried Bones Sources. 848 00:50:34,000 --> 00:50:36,320 Speaker 1: Our senior producer is Alexis Emirosi. 849 00:50:36,640 --> 00:50:40,880 Speaker 3: Research by Maren mcclashan, ali Elkin, Kate Winkler Dawson. 850 00:50:41,120 --> 00:50:43,400 Speaker 1: Our mixing engineer is Ben Tolliday. 851 00:50:43,719 --> 00:50:46,000 Speaker 3: Our theme song is by Tom Bryfogel. 852 00:50:46,239 --> 00:50:48,280 Speaker 1: Our artwork is by Vanessa Lilac. 853 00:50:48,520 --> 00:50:52,680 Speaker 3: Executive produced by Karen Kilgarriff, Georgia hard Stark, and Daniel Kramer. 854 00:50:52,960 --> 00:50:56,319 Speaker 2: You can follow Buried Bones on Instagram and Facebook at 855 00:50:56,520 --> 00:50:57,560 Speaker 2: ary Bones pod. 856 00:50:58,040 --> 00:51:00,600 Speaker 3: Kate's most recent book, All That Is Wicked, a Gilded 857 00:51:00,600 --> 00:51:02,600 Speaker 3: Age story of murder and the race to decote the 858 00:51:02,640 --> 00:51:04,359 Speaker 3: criminal mind, is available now 859 00:51:04,760 --> 00:51:09,000 Speaker 2: And Paul's best selling memoir Unmasked, My life solving America's 860 00:51:09,000 --> 00:51:11,040 Speaker 2: Cold Cases is also available now