1 00:00:04,040 --> 00:00:05,360 Speaker 1: I'm Kate Winkler Dawson. 2 00:00:05,519 --> 00:00:08,320 Speaker 2: I'm a journalist who's spent the last twenty five years 3 00:00:08,400 --> 00:00:09,920 Speaker 2: writing about true crime. 4 00:00:10,200 --> 00:00:13,160 Speaker 3: And I'm Paul Holles, a retired cold case investigator who's 5 00:00:13,200 --> 00:00:16,799 Speaker 3: worked some of America's most complicated cases and solve them. 6 00:00:16,840 --> 00:00:20,160 Speaker 2: Each week, I present Paul with one of history's most 7 00:00:20,239 --> 00:00:22,040 Speaker 2: compelling true crimes, and. 8 00:00:21,960 --> 00:00:24,880 Speaker 3: I weigh in using modern forensic techniques to bring new 9 00:00:24,920 --> 00:00:26,440 Speaker 3: insights to old mysteries. 10 00:00:26,840 --> 00:00:32,040 Speaker 2: Together, using our individual expertise, we're examining historical true crime 11 00:00:32,120 --> 00:00:34,760 Speaker 2: cases through a twenty first century lens. 12 00:00:35,000 --> 00:00:38,160 Speaker 3: Some are solved and some are cold, very cold. 13 00:00:38,600 --> 00:00:45,800 Speaker 1: This is buried bones. 14 00:01:01,600 --> 00:01:02,440 Speaker 3: Ay, Kate, how are you? 15 00:01:02,960 --> 00:01:04,679 Speaker 1: I'm doing well? How are you? 16 00:01:04,760 --> 00:01:08,480 Speaker 2: Because I hear there's a rumor floating around that there's 17 00:01:08,520 --> 00:01:10,640 Speaker 2: some new hip stuff happening. 18 00:01:10,720 --> 00:01:11,440 Speaker 1: What's the update? 19 00:01:12,080 --> 00:01:13,960 Speaker 3: Oh? Good god, you know I'm falling apart. 20 00:01:14,160 --> 00:01:16,800 Speaker 2: It's you had a little grunt right before you even 21 00:01:19,480 --> 00:01:21,800 Speaker 2: I'm sorry, I don't mean to laugh at your misfortune. Okay, 22 00:01:21,800 --> 00:01:22,559 Speaker 2: you're falling apart. 23 00:01:23,080 --> 00:01:25,440 Speaker 3: I think I talked about, you know, I had gone 24 00:01:25,520 --> 00:01:29,440 Speaker 3: in to see the the orthopedic surgeon, and at least 25 00:01:29,520 --> 00:01:32,640 Speaker 3: through X ray, it's obvious I have arthritis and my 26 00:01:32,760 --> 00:01:36,920 Speaker 3: left hip, so ended up getting an MRI done to 27 00:01:36,959 --> 00:01:39,520 Speaker 3: take a look at the soft tissue, and it's a mess. 28 00:01:39,720 --> 00:01:44,440 Speaker 3: It's the labrum, which is sort of the cartilage like 29 00:01:44,480 --> 00:01:48,040 Speaker 3: a cup that surrounds the head of the femur. Well, 30 00:01:48,080 --> 00:01:52,600 Speaker 3: that's that's shredded. I have a kind of this impingement 31 00:01:52,680 --> 00:01:56,640 Speaker 3: called a can defect, which the docs that I could 32 00:01:56,640 --> 00:01:59,080 Speaker 3: have been born with it, but most likely it developed 33 00:01:59,400 --> 00:02:02,480 Speaker 3: during all the athletics I did during my you know, 34 00:02:02,600 --> 00:02:07,040 Speaker 3: adolescent years, and every time I move my leg a 35 00:02:07,080 --> 00:02:11,680 Speaker 3: certain direction, this hump gets pushed into the joint itself 36 00:02:11,720 --> 00:02:15,040 Speaker 3: and that's probably what has just shredded my my laborum, 37 00:02:15,919 --> 00:02:19,239 Speaker 3: and then I have other torn muscles. You know, it's 38 00:02:19,280 --> 00:02:22,720 Speaker 3: just a disaster. So I'm what I'm I have to 39 00:02:22,760 --> 00:02:25,360 Speaker 3: be mobile. The writing's on the wall. I'm gonna need 40 00:02:25,520 --> 00:02:29,040 Speaker 3: my hip replaced at some point. But I'm going to 41 00:02:29,080 --> 00:02:33,160 Speaker 3: try this PRP injection just to see if I can 42 00:02:33,200 --> 00:02:36,160 Speaker 3: slow down the arthritis, the progression of the arthritis as 43 00:02:36,240 --> 00:02:39,640 Speaker 3: well as My hope is is that it would help, 44 00:02:39,919 --> 00:02:42,920 Speaker 3: you know, the labrum a little bit, but you know, 45 00:02:43,040 --> 00:02:45,720 Speaker 3: it's it's a long shot. But I'm just I have 46 00:02:45,800 --> 00:02:49,200 Speaker 3: too many things going on, case wise, project wise. I 47 00:02:49,200 --> 00:02:51,040 Speaker 3: have to I have to remain mobile. I can't have 48 00:02:51,160 --> 00:02:52,520 Speaker 3: my leg cut off just yet. 49 00:02:53,480 --> 00:02:57,240 Speaker 2: Just yeah, what is the doctor saying that you need 50 00:02:57,280 --> 00:03:00,360 Speaker 2: to stop doing because you're super active? Is are like 51 00:03:00,440 --> 00:03:03,280 Speaker 2: hiking or mountain biking that you need to lay off of? 52 00:03:04,280 --> 00:03:07,679 Speaker 3: Well? I have reduced my activities just because every time 53 00:03:07,760 --> 00:03:11,000 Speaker 3: I do any of those, especially just walking, you know, 54 00:03:11,280 --> 00:03:13,480 Speaker 3: with all the travel, like you know, skurrying around the 55 00:03:13,520 --> 00:03:17,920 Speaker 3: Denver airport, my hip will just start to ache. And 56 00:03:18,480 --> 00:03:22,200 Speaker 3: I'm pretty sure that most of the pain is coming 57 00:03:22,200 --> 00:03:25,720 Speaker 3: from the laborum because I can feel it like will 58 00:03:25,760 --> 00:03:29,919 Speaker 3: catch and then if I push it past that catching point, 59 00:03:30,120 --> 00:03:33,760 Speaker 3: it aches the rest of the day. So this is 60 00:03:33,760 --> 00:03:36,760 Speaker 3: where the PRP. My hope is is I can resume 61 00:03:36,920 --> 00:03:40,560 Speaker 3: normal activities and I need to, you know, It's it's 62 00:03:40,600 --> 00:03:44,040 Speaker 3: not like you just want to stop moving. Yeah, And 63 00:03:44,080 --> 00:03:46,440 Speaker 3: so I'll see what he says after, you know, he 64 00:03:46,440 --> 00:03:52,040 Speaker 3: sticks the needle and my my groin basically and pumps 65 00:03:52,120 --> 00:03:54,480 Speaker 3: me full of plasma. 66 00:03:54,600 --> 00:03:57,480 Speaker 2: Oh, I'm so sorry, I was just you know, between 67 00:03:57,560 --> 00:04:00,040 Speaker 2: I'm sure all the listeners realize this, but between the 68 00:04:00,040 --> 00:04:03,160 Speaker 2: two of us, I review our episodes because Paul does 69 00:04:03,200 --> 00:04:07,440 Speaker 2: not want to listen to himself anything at all, so 70 00:04:07,720 --> 00:04:11,400 Speaker 2: I hear myself way too often. And we in the 71 00:04:11,520 --> 00:04:14,040 Speaker 2: episode that I was reviewing, we were talking about your 72 00:04:14,080 --> 00:04:17,160 Speaker 2: hip before and talking about the tendency of men, not 73 00:04:17,279 --> 00:04:19,760 Speaker 2: just men, but a lot of people to not want 74 00:04:19,800 --> 00:04:22,880 Speaker 2: to go that step into you know, go to the 75 00:04:22,920 --> 00:04:27,240 Speaker 2: doctor and certainly not pursue something like surgery. But I'm 76 00:04:27,240 --> 00:04:30,040 Speaker 2: proud of you for doing that, because nobody should live 77 00:04:30,040 --> 00:04:31,920 Speaker 2: in pain and then it gets worse and worse until 78 00:04:31,960 --> 00:04:32,800 Speaker 2: it's intolerable. 79 00:04:33,440 --> 00:04:35,440 Speaker 3: You know. I do not want to get to a 80 00:04:35,520 --> 00:04:39,800 Speaker 3: point to where I am not physically capable. And I 81 00:04:40,200 --> 00:04:45,000 Speaker 3: remember going into my shoulder surgery, my shoulder replacement. I 82 00:04:45,160 --> 00:04:48,600 Speaker 3: was so nervous, you know, because it's a pretty serious 83 00:04:48,640 --> 00:04:52,880 Speaker 3: surgery and I had never been under general anesthesia for 84 00:04:53,040 --> 00:04:56,280 Speaker 3: that length of time. Now, having gone through the shoulder, 85 00:04:56,480 --> 00:05:00,800 Speaker 3: I'm less resistant to the hip, you know, if and 86 00:05:00,839 --> 00:05:04,480 Speaker 3: when I ultimately do it, because I'm pretty confident that 87 00:05:05,000 --> 00:05:07,839 Speaker 3: the surgery will go fine now that I've been through 88 00:05:07,880 --> 00:05:11,279 Speaker 3: it once before. But now that my shoulder is fully 89 00:05:11,360 --> 00:05:15,320 Speaker 3: healed and I see all the functionality come back so 90 00:05:15,440 --> 00:05:20,520 Speaker 3: much better than what it was pre operation, that I'll 91 00:05:20,520 --> 00:05:22,720 Speaker 3: do the surgeries. I'll have all the joints replaced at 92 00:05:22,720 --> 00:05:25,920 Speaker 3: some point, just so I have the functionality now. 93 00:05:26,040 --> 00:05:28,360 Speaker 1: I think I've talked to some of my friends about this. 94 00:05:28,680 --> 00:05:32,400 Speaker 2: When there's something clearly from your past that you've done that, 95 00:05:32,480 --> 00:05:36,080 Speaker 2: maybe you know a parent or a girlfriend or somebody said, Paul, 96 00:05:36,440 --> 00:05:39,080 Speaker 2: I don't know. Like my stepfather did construction for forever 97 00:05:39,160 --> 00:05:42,080 Speaker 2: and now he really really feels it. You know, he's 98 00:05:42,080 --> 00:05:45,080 Speaker 2: in his late seventies. Do you think back, Oh, I 99 00:05:45,120 --> 00:05:46,880 Speaker 2: wish I had. I wish somebody had been a little 100 00:05:46,880 --> 00:05:50,880 Speaker 2: more forceful about that. Or were your glory day memories 101 00:05:50,920 --> 00:05:52,520 Speaker 2: totally worth what's happening now? 102 00:05:53,240 --> 00:05:56,640 Speaker 3: No, you know, the sports side, I just participated in 103 00:05:56,680 --> 00:05:59,719 Speaker 3: the sports, you know, I never was on any type 104 00:05:59,720 --> 00:06:03,920 Speaker 3: of time, you know, to pursue it. At post high school, 105 00:06:04,800 --> 00:06:10,080 Speaker 3: I would say, probably what my biggest regret is that's 106 00:06:10,120 --> 00:06:14,960 Speaker 3: causing me the issues is the the heavy weightlifting with 107 00:06:15,279 --> 00:06:19,279 Speaker 3: poor technique and I'm just not I'm not this really 108 00:06:19,520 --> 00:06:22,480 Speaker 3: robust guy, you know, with the big bones and everything. 109 00:06:22,920 --> 00:06:25,200 Speaker 3: And I remember when I was I think it was 110 00:06:25,240 --> 00:06:29,520 Speaker 3: a teenage years, I was lifting on base and I 111 00:06:29,560 --> 00:06:33,680 Speaker 3: had done a kind of an internship with the orthopedic 112 00:06:33,760 --> 00:06:36,120 Speaker 3: unit at the Dava Grant Medical Center at Travis Air 113 00:06:36,120 --> 00:06:38,680 Speaker 3: Force Base, and one of those surgeons was was working 114 00:06:38,680 --> 00:06:41,400 Speaker 3: out at the gym and he saw me bench pressing 115 00:06:41,480 --> 00:06:43,840 Speaker 3: and it was horrible for him. It was heavy, heavy weight. 116 00:06:43,880 --> 00:06:46,120 Speaker 3: I'm bouncing it off my chest. And he came up 117 00:06:46,120 --> 00:06:49,080 Speaker 3: and he said, stop that, thank you. 118 00:06:49,720 --> 00:06:52,000 Speaker 1: Yeah, somebody has been reasonable. 119 00:06:53,520 --> 00:06:55,960 Speaker 3: I didn't stop it, you know, And that's just that's 120 00:06:55,960 --> 00:06:59,320 Speaker 3: where Now that I'm older, a little bit wiser on 121 00:06:59,360 --> 00:07:02,760 Speaker 3: that front, I've really modified what I do in the 122 00:07:02,800 --> 00:07:06,240 Speaker 3: gym and I feel it it's easier on my joints, 123 00:07:06,560 --> 00:07:10,120 Speaker 3: using a little lighter weight, you know, doing more repetitions, 124 00:07:10,200 --> 00:07:14,480 Speaker 3: more sets. So you know that, I think it really 125 00:07:14,520 --> 00:07:16,720 Speaker 3: is my regret. It's that ego lifting that guys do. 126 00:07:16,960 --> 00:07:19,160 Speaker 3: You're in the gym and you want to press as 127 00:07:19,280 --> 00:07:23,000 Speaker 3: much weight and wow, everybody around you, Well, that's wear 128 00:07:23,000 --> 00:07:24,040 Speaker 3: and tear on your body. 129 00:07:24,360 --> 00:07:24,920 Speaker 1: Yeah. 130 00:07:25,000 --> 00:07:27,360 Speaker 2: Well, I'll tell you something I haven't. I don't really 131 00:07:27,360 --> 00:07:28,680 Speaker 2: don't talk about very much. 132 00:07:29,240 --> 00:07:32,120 Speaker 1: You know. I have a personal trainer who I love. 133 00:07:32,200 --> 00:07:38,000 Speaker 2: Shout out to Nate, and Nate specializes in people older 134 00:07:38,040 --> 00:07:38,640 Speaker 2: than fifty. 135 00:07:39,200 --> 00:07:39,960 Speaker 1: It was forty eight. 136 00:07:39,960 --> 00:07:41,600 Speaker 2: I think maybe forty seven when I first went to 137 00:07:41,680 --> 00:07:44,360 Speaker 2: him and I had to say, listen, you know, can 138 00:07:44,400 --> 00:07:46,280 Speaker 2: you take me? And he said yes. And I've never 139 00:07:46,320 --> 00:07:48,480 Speaker 2: gotten hurt with him. I've gotten to a point where 140 00:07:48,520 --> 00:07:51,080 Speaker 2: I could deadlift my own weight, which is a huge 141 00:07:51,120 --> 00:07:53,880 Speaker 2: deal for me, and I haven't gotten hurt, and he 142 00:07:53,920 --> 00:07:56,880 Speaker 2: always knows how to step back when I feel. You know, 143 00:07:56,920 --> 00:08:00,800 Speaker 2: I have eights that everybody else has. Weightlifting, know for men, 144 00:08:00,840 --> 00:08:04,400 Speaker 2: but especially for women as we get older, is so important, 145 00:08:04,560 --> 00:08:07,480 Speaker 2: you know, building muscle and not losing your muscle and 146 00:08:07,960 --> 00:08:11,000 Speaker 2: with bone density and everything. So so I'm proud of 147 00:08:11,000 --> 00:08:13,520 Speaker 2: myself for being able to do that, but it definitely 148 00:08:13,640 --> 00:08:17,080 Speaker 2: is I've been hurt enough times with people who I 149 00:08:17,120 --> 00:08:19,360 Speaker 2: don't think know what they're doing that I'm really happy 150 00:08:19,480 --> 00:08:21,440 Speaker 2: to be with Nate because I feel protected. 151 00:08:21,480 --> 00:08:23,000 Speaker 1: He's not going to ask me to do anything that 152 00:08:23,040 --> 00:08:23,760 Speaker 1: I don't want to do. 153 00:08:23,920 --> 00:08:25,880 Speaker 3: You know. Sure, yeah, I know. That's that's good. I see, 154 00:08:25,880 --> 00:08:29,240 Speaker 3: I've never used a personal trainer. I've just done things myself, 155 00:08:30,120 --> 00:08:33,320 Speaker 3: you know, and I'm better now than I was back 156 00:08:33,360 --> 00:08:33,800 Speaker 3: in the day. 157 00:08:35,440 --> 00:08:36,160 Speaker 1: Well, that's good. 158 00:08:36,160 --> 00:08:37,800 Speaker 2: I think you would like a personal trainer if you're 159 00:08:37,840 --> 00:08:39,680 Speaker 2: I mean, you know, it's a very privileged thing to 160 00:08:39,679 --> 00:08:42,720 Speaker 2: be able to have that, but man, it really I 161 00:08:42,800 --> 00:08:46,120 Speaker 2: just get scared of hurting myself permanently somehow because I 162 00:08:46,360 --> 00:08:49,920 Speaker 2: you know, in TV news, I worked with a lot 163 00:08:49,920 --> 00:08:53,000 Speaker 2: of camera guys who in my favorite was this guy 164 00:08:53,080 --> 00:08:56,280 Speaker 2: named Lance. He would use those huge beta cam cameras, 165 00:08:56,320 --> 00:09:00,240 Speaker 2: the big ones, and I don't remember what, but he 166 00:09:00,360 --> 00:09:03,240 Speaker 2: had a couple of discs that got crushed and he 167 00:09:03,320 --> 00:09:05,160 Speaker 2: was going to have to have surgery. Did have surgery, 168 00:09:05,200 --> 00:09:08,720 Speaker 2: I think, And so that kind of growing up around 169 00:09:08,760 --> 00:09:11,280 Speaker 2: these people getting hurt from all of this equipment that 170 00:09:11,360 --> 00:09:13,320 Speaker 2: justared the frankly scared the shit out of me. So 171 00:09:13,440 --> 00:09:16,720 Speaker 2: I'm very chicken, but I'm trying to move forward in 172 00:09:16,760 --> 00:09:18,080 Speaker 2: a way that's responsible for me. 173 00:09:18,240 --> 00:09:20,360 Speaker 3: So well, that's just said it. And it takes so 174 00:09:20,520 --> 00:09:24,640 Speaker 3: long to heal from injuries anymore, so I agree. 175 00:09:24,800 --> 00:09:28,000 Speaker 2: Okay, Well, enough about our our aches and pains, which 176 00:09:28,000 --> 00:09:29,480 Speaker 2: I'm pretty sure the majority of. 177 00:09:29,440 --> 00:09:31,360 Speaker 1: Our listeners probably share with us. 178 00:09:32,240 --> 00:09:35,920 Speaker 2: We are going to talk about a story and it's 179 00:09:35,920 --> 00:09:38,680 Speaker 2: a setting that we've really never talked about before. So 180 00:09:38,920 --> 00:09:41,840 Speaker 2: I'm pretty excited, you know, about what we're going to 181 00:09:41,840 --> 00:09:44,000 Speaker 2: be dealing with today, just because Number one it's in 182 00:09:44,000 --> 00:09:44,679 Speaker 2: the eighteen hundred. 183 00:09:44,800 --> 00:09:46,320 Speaker 1: Number two, it's in upstate, New York. 184 00:09:46,480 --> 00:09:50,080 Speaker 2: Love Love, and then you know, number three, we've got 185 00:09:50,120 --> 00:09:53,240 Speaker 2: a murder scene that's going to be interesting. So let's 186 00:09:53,280 --> 00:09:57,559 Speaker 2: go ahead and set the scene. So we are, as 187 00:09:57,600 --> 00:10:02,400 Speaker 2: I said, in New York State. This is summertime, eighteen 188 00:10:02,520 --> 00:10:05,040 Speaker 2: ninety nine. We're right at the turn of the century, 189 00:10:04,880 --> 00:10:08,319 Speaker 2: so this is an interesting time to deal with. And 190 00:10:08,640 --> 00:10:13,480 Speaker 2: sometimes I think these stories are more interesting than the ones, 191 00:10:13,960 --> 00:10:17,559 Speaker 2: you know, moving forward, because I feel like with these stories, 192 00:10:17,600 --> 00:10:20,080 Speaker 2: because we don't have the photos, and you know that 193 00:10:20,200 --> 00:10:22,360 Speaker 2: kind of the visual part of it. Even though I 194 00:10:22,360 --> 00:10:24,520 Speaker 2: know it's more difficult for you, I think we have 195 00:10:24,600 --> 00:10:28,000 Speaker 2: to start leaning on a little bit more profiling and 196 00:10:28,160 --> 00:10:30,800 Speaker 2: kind of being creative about the way that we approach 197 00:10:30,880 --> 00:10:33,720 Speaker 2: these stories versus other stories that we do in the 198 00:10:33,760 --> 00:10:36,320 Speaker 2: fifties of the sixties that have photos. And of course 199 00:10:36,320 --> 00:10:38,800 Speaker 2: you're going to say, screw all that, I want the photos. 200 00:10:40,000 --> 00:10:41,280 Speaker 2: I don't want to be creative, Kate. 201 00:10:42,880 --> 00:10:46,080 Speaker 3: No, you know, I work with what you can provide me. 202 00:10:46,360 --> 00:10:50,400 Speaker 2: I know, Okay, Well, we are in New York State. 203 00:10:50,640 --> 00:10:53,760 Speaker 2: It is Thursday, June eighth, as I said, eighteen ninety nine, 204 00:10:54,080 --> 00:10:58,400 Speaker 2: and we are on dund A train and we've never 205 00:10:58,440 --> 00:11:01,000 Speaker 2: dealt with a train before. I don't think we've dealt 206 00:11:01,000 --> 00:11:03,600 Speaker 2: with a train before. Somebody will probably email me and say, oh, yeah, 207 00:11:03,640 --> 00:11:05,800 Speaker 2: you have. I don't remember, So this is kind of 208 00:11:05,840 --> 00:11:08,360 Speaker 2: cool in Texas, I don't ride trains. When I lived 209 00:11:08,400 --> 00:11:11,000 Speaker 2: in New York, I took trains all the time between 210 00:11:11,040 --> 00:11:12,720 Speaker 2: the states, and when I went to school in Boston, 211 00:11:12,840 --> 00:11:15,600 Speaker 2: you know, I was all over trains. Are there quite 212 00:11:15,640 --> 00:11:18,920 Speaker 2: a few trains right in Colorado? Are there passenger trains 213 00:11:18,920 --> 00:11:20,440 Speaker 2: that you can do fun stuff on? 214 00:11:20,640 --> 00:11:23,280 Speaker 3: Or well? The one that I can that comes to 215 00:11:23,320 --> 00:11:26,200 Speaker 3: mind that I've been on is what's called the cog Railway, 216 00:11:26,679 --> 00:11:30,560 Speaker 3: and it's a special type. I'd call it a train 217 00:11:31,240 --> 00:11:35,360 Speaker 3: that goes up the side of Pike's Peak. I've done that, okay, yeah, 218 00:11:35,400 --> 00:11:37,760 Speaker 3: So you go from Manitou Springs up the Pike's Peak. 219 00:11:37,800 --> 00:11:40,000 Speaker 3: And it had shut down when we first moved here. 220 00:11:40,040 --> 00:11:43,120 Speaker 3: It was it was done, and then they put in 221 00:11:43,200 --> 00:11:45,960 Speaker 3: a brand new train, I believe, and new tracks or 222 00:11:46,080 --> 00:11:48,920 Speaker 3: fixed up the tracks. And so about three years ago, 223 00:11:49,000 --> 00:11:51,480 Speaker 3: when my oldest son was out visiting, we took them 224 00:11:51,559 --> 00:11:54,040 Speaker 3: up that train and it was very it was fascinating, 225 00:11:54,160 --> 00:11:58,120 Speaker 3: very comfortable. It's environmentally controlled, so if you're you know, 226 00:11:58,160 --> 00:12:00,640 Speaker 3: in the winter time here, that's pro problem if you're 227 00:12:00,679 --> 00:12:03,920 Speaker 3: just out exposed to the elements. So that's the one 228 00:12:03,920 --> 00:12:06,800 Speaker 3: that I can think of. And you know, my train 229 00:12:06,880 --> 00:12:10,480 Speaker 3: writing experience is very limited. I took an Amtrak from 230 00:12:10,520 --> 00:12:14,760 Speaker 3: Santa Barbara down to LA. Actually it was after oh 231 00:12:14,800 --> 00:12:17,200 Speaker 3: it's my favorite murder event in Santa Barbara and then 232 00:12:17,520 --> 00:12:19,600 Speaker 3: go I had to go down to LA to do more. 233 00:12:20,280 --> 00:12:22,280 Speaker 3: I think it was TV stuff and that was That 234 00:12:22,320 --> 00:12:24,319 Speaker 3: was a comfortable ride. You know, it's just it's easy 235 00:12:24,360 --> 00:12:25,480 Speaker 3: just to relax on a train. 236 00:12:25,640 --> 00:12:26,560 Speaker 1: I love trains. 237 00:12:26,920 --> 00:12:30,680 Speaker 2: When I lived in New York, I worked at Fordham University. 238 00:12:30,720 --> 00:12:31,440 Speaker 1: I was teaching. 239 00:12:31,480 --> 00:12:33,599 Speaker 2: I was full time faculty, and I was going I 240 00:12:33,640 --> 00:12:35,160 Speaker 2: don't know if it's still there, but I was going 241 00:12:35,160 --> 00:12:38,959 Speaker 2: to what was known as their Marymount Campus, which is 242 00:12:39,200 --> 00:12:44,160 Speaker 2: in North Terrytown aka Sleepy Hollow. So this was my dream. 243 00:12:44,240 --> 00:12:46,840 Speaker 2: You can imagine this is my dream. I really, I 244 00:12:46,880 --> 00:12:49,199 Speaker 2: really wanted to be there, and I loved it. I mean, 245 00:12:49,200 --> 00:12:51,319 Speaker 2: I got so much work done. I found it relaxed, 246 00:12:51,360 --> 00:12:54,280 Speaker 2: way more relaxing than be on a subway. So this 247 00:12:54,440 --> 00:12:58,400 Speaker 2: is not that kind of story. We are not relaxing 248 00:12:58,440 --> 00:13:00,800 Speaker 2: one little bit, and I don't think passengers are going 249 00:13:00,840 --> 00:13:04,120 Speaker 2: to relax on this either. Okay, So we are on 250 00:13:04,160 --> 00:13:06,760 Speaker 2: a train that sounds like a load of fun. Frankly, 251 00:13:06,800 --> 00:13:12,120 Speaker 2: it's a theater run train, so it's really popular you. 252 00:13:11,320 --> 00:13:13,440 Speaker 1: Go with your spouse on date night. 253 00:13:13,720 --> 00:13:18,679 Speaker 2: And it's a forty five minute route between Lockport, New York, 254 00:13:19,160 --> 00:13:22,240 Speaker 2: and it goes to Buffalo. So people hop on and 255 00:13:22,240 --> 00:13:24,360 Speaker 2: off the train and it takes you right to the 256 00:13:24,360 --> 00:13:26,760 Speaker 2: theater in Buffalo and then you know, you see the 257 00:13:26,800 --> 00:13:29,080 Speaker 2: show and you hop back on. And so this train 258 00:13:29,160 --> 00:13:31,000 Speaker 2: is running a lot, and I think there are several 259 00:13:31,040 --> 00:13:37,480 Speaker 2: of them. So with this train, So, like I said, 260 00:13:37,559 --> 00:13:41,160 Speaker 2: June eighth, it's around midnight and people are coming back 261 00:13:41,200 --> 00:13:44,600 Speaker 2: from the show in Buffalo, and it's heading towards Lockport. 262 00:13:45,160 --> 00:13:48,640 Speaker 2: About a quarter of a mile after it goes through 263 00:13:49,080 --> 00:13:54,240 Speaker 2: a town called Shawnee, the engineer realizes that something's wrong. 264 00:13:54,640 --> 00:13:59,120 Speaker 2: The breaks aren't working properly. Yikes, I mean petrifying. He 265 00:13:59,200 --> 00:14:01,720 Speaker 2: slows down the train to a halt and then he 266 00:14:01,760 --> 00:14:04,480 Speaker 2: hops off and he inspects it and he sees that 267 00:14:04,520 --> 00:14:07,480 Speaker 2: there's a small cap that has popped off one of 268 00:14:07,520 --> 00:14:11,440 Speaker 2: the break pipes underneath the train, and it looks like 269 00:14:11,480 --> 00:14:14,080 Speaker 2: it had hit something and been knocked loose. It's a 270 00:14:14,080 --> 00:14:17,959 Speaker 2: little terrifying that one little cap being popped off will 271 00:14:18,600 --> 00:14:19,720 Speaker 2: make the brakes. 272 00:14:19,360 --> 00:14:20,560 Speaker 1: Feel like they're not working. 273 00:14:20,920 --> 00:14:24,160 Speaker 2: But welcome to eighteen ninety nine, you know, train, So 274 00:14:25,000 --> 00:14:28,880 Speaker 2: it's not a big deal. The guy, Roger Metcath, the engineer, 275 00:14:29,280 --> 00:14:31,880 Speaker 2: he grabs an extra cap, he puts it on, and 276 00:14:31,920 --> 00:14:34,760 Speaker 2: then they continue on the way. The next day, so 277 00:14:34,880 --> 00:14:39,960 Speaker 2: this would be Friday, June ninth, he inspects his train 278 00:14:40,920 --> 00:14:45,000 Speaker 2: and Roger Metcathy, engineer says, he hops down and he looks, 279 00:14:45,200 --> 00:14:48,960 Speaker 2: and he says that he thinks there is a small 280 00:14:49,080 --> 00:14:54,080 Speaker 2: piece of human flesh on the front of the train. Now, 281 00:14:54,160 --> 00:14:56,040 Speaker 2: let me just tell you real quick. There is an 282 00:14:56,080 --> 00:14:59,120 Speaker 2: author who is fantastic. Her name's Michelle Graff. She wrote 283 00:14:59,120 --> 00:15:01,520 Speaker 2: a book about it, which is what I looked at 284 00:15:01,560 --> 00:15:04,960 Speaker 2: and the researchers looked at. She described it as about 285 00:15:04,960 --> 00:15:09,120 Speaker 2: the size of a hen's egg yolk. And I don't 286 00:15:09,160 --> 00:15:12,280 Speaker 2: know how you would identify human flesh. 287 00:15:12,680 --> 00:15:14,880 Speaker 1: Is it obvious? I guess I've never really thought about 288 00:15:14,920 --> 00:15:15,360 Speaker 1: it before. 289 00:15:16,000 --> 00:15:21,360 Speaker 3: Let's say it's something that has some skin remnant on it, 290 00:15:21,920 --> 00:15:24,560 Speaker 3: and you can see let's let's say, skin off of 291 00:15:24,600 --> 00:15:27,720 Speaker 3: a man's arm right where you You know, how the 292 00:15:28,080 --> 00:15:31,600 Speaker 3: hair on a man's arm would be pretty obvious, going, Okay, 293 00:15:31,600 --> 00:15:34,360 Speaker 3: that looks like it could be human tissue. If it's 294 00:15:34,640 --> 00:15:39,160 Speaker 3: just tissue, you know, from the internal aspects of the body, 295 00:15:39,200 --> 00:15:41,560 Speaker 3: I think it would be pretty tough to come to a 296 00:15:41,920 --> 00:15:44,640 Speaker 3: conclusion it's human. You may say it looks like, you know, 297 00:15:44,680 --> 00:15:48,040 Speaker 3: the train hit an animal, you know, during its route. 298 00:15:48,320 --> 00:15:52,080 Speaker 2: Well, Roger is alarmed, and he says, I might have 299 00:15:52,160 --> 00:15:54,560 Speaker 2: hit somebody last night on my last run. I have 300 00:15:54,640 --> 00:15:56,600 Speaker 2: no idea, and if I hit someone, that's why the 301 00:15:56,640 --> 00:15:57,520 Speaker 2: cap came off. 302 00:15:57,840 --> 00:15:59,239 Speaker 1: Even though it's not that unusual. 303 00:15:59,480 --> 00:16:02,360 Speaker 2: He didn't see anything on the tracks anywhere, so this 304 00:16:02,520 --> 00:16:06,240 Speaker 2: was a big mystery. So he files a report with 305 00:16:06,400 --> 00:16:09,920 Speaker 2: the railroad agent, and there is an investigator who comes 306 00:16:10,000 --> 00:16:13,000 Speaker 2: on the case, and his name is John Perhamis. And 307 00:16:13,120 --> 00:16:16,840 Speaker 2: I will say upfront, I'm fairly impressed with the investigators 308 00:16:16,920 --> 00:16:19,960 Speaker 2: in eighteen ninety nine. Sometimes they are better than our 309 00:16:20,040 --> 00:16:23,200 Speaker 2: nineteen hundreds people. He files a report. We've got somebody 310 00:16:23,200 --> 00:16:25,560 Speaker 2: who says, okay, I'm you know, an investigator who is 311 00:16:25,600 --> 00:16:28,400 Speaker 2: going to go look for somebody or something on the 312 00:16:28,480 --> 00:16:31,720 Speaker 2: track around where this cap fell off. The next day, 313 00:16:32,320 --> 00:16:35,560 Speaker 2: there's a farm hand named Charles Bliss, and he makes 314 00:16:35,600 --> 00:16:39,520 Speaker 2: a terrible discovery. He wakes up early in the morning 315 00:16:39,600 --> 00:16:42,440 Speaker 2: that morning, probably around the same time that Roger is 316 00:16:42,480 --> 00:16:44,720 Speaker 2: making this discovery of the flesh on the front of 317 00:16:44,720 --> 00:16:45,200 Speaker 2: his train. 318 00:16:45,920 --> 00:16:50,400 Speaker 1: He says that he sees mangled human remains at the 319 00:16:50,560 --> 00:16:55,280 Speaker 1: railroad crossing near Shawnee. They went from Buffalo toward Lockport, 320 00:16:55,760 --> 00:16:57,640 Speaker 1: and they went through Shawnee no problems. 321 00:16:57,680 --> 00:17:00,320 Speaker 2: But then after Shawne that's where we have an issue. 322 00:17:00,560 --> 00:17:03,200 Speaker 2: Keith thinks that it's a woman. So when I say mangled, 323 00:17:03,240 --> 00:17:06,399 Speaker 2: that's what I mean mangled because she appears to be 324 00:17:06,400 --> 00:17:09,520 Speaker 2: wearing a dress, and the author, Michelle Graff, says it 325 00:17:09,560 --> 00:17:12,880 Speaker 2: looked as though the train had dragged her for some distance. 326 00:17:12,960 --> 00:17:16,679 Speaker 2: The wheels had severed her legs, and one side of 327 00:17:16,720 --> 00:17:20,879 Speaker 2: her face was badly crushed. One of her hands still 328 00:17:21,000 --> 00:17:25,800 Speaker 2: stretched across the rail. So I mean, tough crime scene 329 00:17:26,080 --> 00:17:28,720 Speaker 2: for whoever's going to be looking at this. Tell me, 330 00:17:28,840 --> 00:17:32,040 Speaker 2: just at first glance, before we talked specifically about this case, 331 00:17:32,520 --> 00:17:36,479 Speaker 2: what would be the obvious challenges of dealing with somebody 332 00:17:36,520 --> 00:17:39,840 Speaker 2: who's dead on the tracks, but they're trying to figure 333 00:17:39,840 --> 00:17:42,199 Speaker 2: out is this accident is a suicide or is this 334 00:17:42,200 --> 00:17:43,159 Speaker 2: to cover up a murder? 335 00:17:43,720 --> 00:17:48,160 Speaker 3: For sure. In fact, we've had, of course multiple call 336 00:17:48,200 --> 00:17:51,480 Speaker 3: them pedestrians run over by trains, and my jurisdiction during 337 00:17:51,520 --> 00:17:56,800 Speaker 3: my career, I never worked a death scene. None of 338 00:17:56,840 --> 00:18:00,840 Speaker 3: them required, let's say, a homicide investigation to kick off. 339 00:18:02,040 --> 00:18:04,960 Speaker 3: I have seen a body in the Morgue that had 340 00:18:04,960 --> 00:18:06,919 Speaker 3: been run over by a train, and then I have 341 00:18:07,160 --> 00:18:11,560 Speaker 3: a very similar scenario where a man was dumped out 342 00:18:11,560 --> 00:18:13,040 Speaker 3: on the freeway in the middle of the night when 343 00:18:13,040 --> 00:18:15,119 Speaker 3: it was real foggy, and got run over by many 344 00:18:15,160 --> 00:18:18,240 Speaker 3: cars and his body was torn apart and smeared across 345 00:18:18,240 --> 00:18:19,640 Speaker 3: a quarter mile of the freeway. 346 00:18:19,920 --> 00:18:21,400 Speaker 1: But he was dead first, right. 347 00:18:21,800 --> 00:18:25,439 Speaker 3: Well, actually no, he was. He had been rolled up 348 00:18:25,480 --> 00:18:28,520 Speaker 3: in a carpet and then pushed off out of the 349 00:18:28,560 --> 00:18:30,640 Speaker 3: bed of a pickup while he was still alive. Oh 350 00:18:30,680 --> 00:18:33,239 Speaker 3: my gosh, that case. And that wasn't he wasn't hit 351 00:18:33,240 --> 00:18:35,200 Speaker 3: by a train. He was hit by vehicles on a road. 352 00:18:35,200 --> 00:18:37,679 Speaker 3: But it kind kind of the same type of scene 353 00:18:38,640 --> 00:18:42,800 Speaker 3: because trains, when you say mangled human body, trains are 354 00:18:42,800 --> 00:18:46,359 Speaker 3: not kind to the human body. Basically are diced up 355 00:18:46,400 --> 00:18:50,359 Speaker 3: and smeared over the course of you know, fifty hundred 356 00:18:50,480 --> 00:18:55,679 Speaker 3: two hundred feet. In that particular case that was interviews 357 00:18:56,040 --> 00:19:00,199 Speaker 3: with the suspects got it in terms of trying to 358 00:19:00,280 --> 00:19:02,960 Speaker 3: determine if the person was alive or not at the 359 00:19:03,000 --> 00:19:05,480 Speaker 3: time they were struck with the train. Of course there's 360 00:19:05,480 --> 00:19:08,560 Speaker 3: going to be witnesses, potential witnesses, you know that can 361 00:19:08,600 --> 00:19:11,320 Speaker 3: say she jumped out in front of the train. Now, 362 00:19:11,359 --> 00:19:18,159 Speaker 3: in terms of any physical diagnostic aspects, I think that 363 00:19:18,200 --> 00:19:22,040 Speaker 3: would be tough. That's where I would be asking the pathologist, 364 00:19:22,119 --> 00:19:24,200 Speaker 3: is there any way you can tell was this person 365 00:19:24,240 --> 00:19:27,480 Speaker 3: alive or not? You know, were they dead, you know, 366 00:19:27,680 --> 00:19:29,879 Speaker 3: laid on the tracks, you know, to cover up a 367 00:19:29,880 --> 00:19:33,479 Speaker 3: crime or as a body disposal aspect, or you know, 368 00:19:33,680 --> 00:19:36,679 Speaker 3: were they bound and left alive on the on the 369 00:19:36,720 --> 00:19:38,199 Speaker 3: tracks like you see in the old movies. 370 00:19:38,280 --> 00:19:42,280 Speaker 2: Right, well, let me give you some more information. We 371 00:19:42,440 --> 00:19:45,440 Speaker 2: have this investigator, and then we also have a corner 372 00:19:45,520 --> 00:19:49,960 Speaker 2: who to me is surprisingly involved. I did not think corners, 373 00:19:50,320 --> 00:19:51,760 Speaker 2: you know, kind of went into the field. 374 00:19:52,200 --> 00:19:54,080 Speaker 3: So he's the elected corner. 375 00:19:54,160 --> 00:19:55,760 Speaker 1: Or yeah, it looks like it. 376 00:19:55,840 --> 00:19:59,879 Speaker 2: He's a Niagara County corner, one corner for this whole area. 377 00:20:00,200 --> 00:20:05,280 Speaker 3: Okay, just from a coroner's perspective is you know, today 378 00:20:05,560 --> 00:20:08,320 Speaker 3: they often have death investigators that go out in the field, 379 00:20:08,720 --> 00:20:11,320 Speaker 3: but back probably during this time, you saw more of 380 00:20:11,400 --> 00:20:15,600 Speaker 3: the pathologists or the corners themselves that were actually responding out. 381 00:20:16,080 --> 00:20:17,879 Speaker 1: Yeah, from American Sherlock. 382 00:20:18,040 --> 00:20:22,240 Speaker 2: I had a train explosion, and this was before the FBI, 383 00:20:22,720 --> 00:20:26,080 Speaker 2: and so the Southern Union Pacific I think is the train. 384 00:20:26,240 --> 00:20:28,680 Speaker 2: They sent out their own investigators. And because it was 385 00:20:28,720 --> 00:20:31,480 Speaker 2: a US Postal worker who was killed in this blast, 386 00:20:31,800 --> 00:20:34,040 Speaker 2: US Postal sent out there investigators. So you've got all 387 00:20:34,080 --> 00:20:38,000 Speaker 2: of this jurisdiction mess because you don't have this centralized agency. 388 00:20:38,640 --> 00:20:42,919 Speaker 2: So we have the first investigator I mentioned, who was 389 00:20:43,320 --> 00:20:47,520 Speaker 2: with the railroad I believe, and then you've got our corner, 390 00:20:47,560 --> 00:20:51,040 Speaker 2: whose name is Henry Cleveland. He comes to the scene 391 00:20:51,200 --> 00:20:56,080 Speaker 2: about the same time as Agent Paramus comes out. They 392 00:20:56,160 --> 00:20:59,760 Speaker 2: both reached the you know, the not surprising conclusion here 393 00:21:00,119 --> 00:21:03,040 Speaker 2: that the woman who they thought was actually just a 394 00:21:03,080 --> 00:21:06,080 Speaker 2: teenager was killed after being struck by the train. And 395 00:21:06,119 --> 00:21:07,800 Speaker 2: I do have more information on the body and the 396 00:21:07,800 --> 00:21:10,240 Speaker 2: positioning and all of that. They are trying to figure 397 00:21:10,240 --> 00:21:14,480 Speaker 2: out if this is accidental of course, or suicide. Murder 398 00:21:14,480 --> 00:21:16,520 Speaker 2: does not seem to be on the table right now. 399 00:21:17,359 --> 00:21:20,040 Speaker 2: So the coroner says, the last train to come through 400 00:21:20,160 --> 00:21:24,760 Speaker 2: these tracks was that Lockport bound train on the Theater 401 00:21:24,920 --> 00:21:29,320 Speaker 2: run around midnight, and it would have been moving, according 402 00:21:29,320 --> 00:21:33,200 Speaker 2: to the engineer, about thirty miles an hour. And now 403 00:21:33,440 --> 00:21:36,240 Speaker 2: doctor Cleveland is trying to figure out not only who 404 00:21:36,240 --> 00:21:38,840 Speaker 2: this victim is, but the circumstances of her death. 405 00:21:39,160 --> 00:21:41,439 Speaker 1: He has been to I know you asked this a lot. 406 00:21:41,560 --> 00:21:45,200 Speaker 2: What is the experience of the investigators and the coroner 407 00:21:45,200 --> 00:21:48,439 Speaker 2: and the pathologist. So Cleveland has been to quite a 408 00:21:48,440 --> 00:21:52,920 Speaker 2: lot of these lots of accidental deaths involving trains. Actually, 409 00:21:53,000 --> 00:21:55,840 Speaker 2: about a month before this incident, he worked a case 410 00:21:55,880 --> 00:21:59,280 Speaker 2: where a sixteen year old was fatally struck while attempting 411 00:21:59,359 --> 00:22:03,200 Speaker 2: to cross a set of tracks. She had been thrown 412 00:22:03,640 --> 00:22:07,719 Speaker 2: nearly twenty five feet, and this is where doctor Cleveland 413 00:22:08,000 --> 00:22:11,119 Speaker 2: starts to bring in his own experience to kind of 414 00:22:11,119 --> 00:22:14,199 Speaker 2: figure out what's going on here. What Cleveland says is 415 00:22:14,280 --> 00:22:18,280 Speaker 2: the key differences to him so far are that there's 416 00:22:18,359 --> 00:22:22,600 Speaker 2: almost no blood at this scene, and apparently at the 417 00:22:22,640 --> 00:22:26,520 Speaker 2: other scene that was not the case, there was blood everywhere. 418 00:22:26,280 --> 00:22:27,640 Speaker 1: So that's what he says so far. 419 00:22:27,880 --> 00:22:30,240 Speaker 2: So they're you know, trying to put together and murder 420 00:22:30,280 --> 00:22:32,000 Speaker 2: is going to be on the table here pretty quickly. 421 00:22:32,160 --> 00:22:34,320 Speaker 2: So what do you think about that she's on the 422 00:22:34,440 --> 00:22:38,080 Speaker 2: tracks but no blood And Cleveland says, that's weird. 423 00:22:38,520 --> 00:22:42,080 Speaker 3: Yeah, No, that's significant. When somebody's run over by a 424 00:22:42,160 --> 00:22:45,159 Speaker 3: train and you know, they all their blood is in 425 00:22:45,200 --> 00:22:47,760 Speaker 3: their body and all these reservoirs, in the blood vessels 426 00:22:47,760 --> 00:22:51,040 Speaker 3: and everywhere that's all opened up, you know, so you're 427 00:22:51,080 --> 00:22:53,679 Speaker 3: going to have a significant amount of blood. It's not 428 00:22:53,720 --> 00:22:56,320 Speaker 3: going to be pooled in one location unless you know 429 00:22:56,359 --> 00:22:58,919 Speaker 3: the primary you know, parts of the body come to 430 00:22:58,960 --> 00:23:03,639 Speaker 3: rest one location. But you will see that blood smeared 431 00:23:04,480 --> 00:23:08,479 Speaker 3: all along the tracks, if you will, you know, along 432 00:23:08,560 --> 00:23:10,760 Speaker 3: the part of the track that the body is being 433 00:23:11,200 --> 00:23:15,959 Speaker 3: cut up on and smeared down. So this is where 434 00:23:16,280 --> 00:23:21,000 Speaker 3: if there is no blood from this woman's body, then 435 00:23:21,040 --> 00:23:23,960 Speaker 3: that would tell me that she bled out somewhere else. 436 00:23:24,800 --> 00:23:28,919 Speaker 3: And now it's the autopsy is significant because it's a 437 00:23:29,200 --> 00:23:35,359 Speaker 3: can the pathologist identify other bleeding injuries, let's say, stab 438 00:23:35,440 --> 00:23:39,639 Speaker 3: wounds amongst this mangled mess that he's looking at. 439 00:23:40,040 --> 00:23:43,240 Speaker 2: Well, let me tell you, they first start tackling before 440 00:23:43,240 --> 00:23:46,520 Speaker 2: they get to an autopsy. They tackle the body positioning 441 00:23:46,640 --> 00:23:49,439 Speaker 2: because they're still making notes about this. So this is 442 00:23:49,520 --> 00:23:51,600 Speaker 2: the best we could do with the description based on, 443 00:23:51,800 --> 00:23:54,240 Speaker 2: you know, all the notes that we have. The teenager's 444 00:23:54,240 --> 00:23:57,800 Speaker 2: body was thought to be positioned before the train struck her. 445 00:23:57,800 --> 00:23:58,840 Speaker 1: As what they think. 446 00:23:58,720 --> 00:24:02,480 Speaker 2: Her upper body was off the tracks, on the planking, 447 00:24:03,160 --> 00:24:08,199 Speaker 2: and her torso was laying across the easternmost rail, and 448 00:24:08,280 --> 00:24:11,159 Speaker 2: her legs were actually on the track, which is why 449 00:24:11,640 --> 00:24:14,080 Speaker 2: they were severed from the rest of her body. So 450 00:24:14,119 --> 00:24:16,440 Speaker 2: it's kind of like she's across the tracks, laying over 451 00:24:16,560 --> 00:24:17,639 Speaker 2: different parts of the tracks. 452 00:24:17,640 --> 00:24:18,640 Speaker 1: Does that make sense to you? 453 00:24:19,119 --> 00:24:20,320 Speaker 3: That does make sense? 454 00:24:20,680 --> 00:24:28,560 Speaker 2: Okay, So now Agent Paramus is very alarmed. They're trying 455 00:24:28,560 --> 00:24:31,240 Speaker 2: to work out this theory, even though the death took 456 00:24:31,320 --> 00:24:34,439 Speaker 2: place at the railroad crossing. He says he's convinced that 457 00:24:34,480 --> 00:24:38,320 Speaker 2: the girl hadn't been crossing the tracks, or even standing 458 00:24:38,560 --> 00:24:41,160 Speaker 2: for that matter. He says, if she were standing up, 459 00:24:41,240 --> 00:24:43,199 Speaker 2: she would have been thrown off the tracks, just like 460 00:24:43,240 --> 00:24:46,160 Speaker 2: what happened a month ago. Is it really that, I mean, 461 00:24:46,200 --> 00:24:48,399 Speaker 2: if this is a teenager who's five foot five, is 462 00:24:48,400 --> 00:24:49,200 Speaker 2: that really the case. 463 00:24:49,640 --> 00:24:53,639 Speaker 3: Well, this is where when you get into vehicular accidents 464 00:24:53,640 --> 00:24:58,000 Speaker 3: with pedestrians, there is a way to reconstruct the position 465 00:24:58,119 --> 00:25:00,840 Speaker 3: of the pedestrian based on let's say, the front of 466 00:25:00,840 --> 00:25:03,280 Speaker 3: the car, you know. And so if you have a 467 00:25:03,280 --> 00:25:07,680 Speaker 3: pedestrian that is standing up and is hit broadside by 468 00:25:08,000 --> 00:25:11,399 Speaker 3: the front of a high, flat surface like the front 469 00:25:11,400 --> 00:25:15,040 Speaker 3: of a pickup, that person is going to be thrown 470 00:25:15,560 --> 00:25:18,040 Speaker 3: quite a distance depending on the speed of the pickup. 471 00:25:18,119 --> 00:25:20,679 Speaker 3: The mass of that pickup is so much well the 472 00:25:20,720 --> 00:25:23,240 Speaker 3: mass of a train. You know, a person is you're 473 00:25:23,240 --> 00:25:25,080 Speaker 3: not even going to feel a bump in a train. 474 00:25:25,680 --> 00:25:28,359 Speaker 3: And so a train traveling at thirty miles an hour 475 00:25:28,760 --> 00:25:32,360 Speaker 3: if this woman is standing up and you know, it's 476 00:25:32,400 --> 00:25:34,720 Speaker 3: also what is the front of this train? Is there 477 00:25:34,760 --> 00:25:37,040 Speaker 3: one of those I guess you call it a cattle guard, 478 00:25:37,800 --> 00:25:40,399 Speaker 3: you know, or is it a flat surface or you 479 00:25:40,400 --> 00:25:42,280 Speaker 3: know what is that the front of the train. But 480 00:25:42,560 --> 00:25:47,560 Speaker 3: that's where this investigator and the corner are taking a look, going, Yeah, 481 00:25:47,560 --> 00:25:50,679 Speaker 3: she was just let's say, walking down the tracks and 482 00:25:50,720 --> 00:25:52,720 Speaker 3: then gets hit by the front of this train going 483 00:25:52,720 --> 00:25:55,760 Speaker 3: at thirty miles an hour. She would have been tossed, 484 00:25:55,920 --> 00:25:58,320 Speaker 3: you know, you would see all that blunt force injury 485 00:25:58,359 --> 00:26:01,560 Speaker 3: and she would have just been thrown. Oftentimes, you'll see, 486 00:26:01,600 --> 00:26:05,400 Speaker 3: like with pedestrians that commit suicide on the freeway, they 487 00:26:05,440 --> 00:26:08,640 Speaker 3: may have like tennis shoes on that are completely tied up. 488 00:26:08,800 --> 00:26:12,919 Speaker 3: They are literally pulled out of the tennis shoes. The 489 00:26:12,920 --> 00:26:16,080 Speaker 3: shoes end up almost staying on the freeway while the 490 00:26:16,119 --> 00:26:20,240 Speaker 3: body is thrown, you know, fifty feet down down the freeway. 491 00:26:20,280 --> 00:26:24,280 Speaker 3: So I imagine with a train traveling at a certain speed 492 00:26:24,680 --> 00:26:28,960 Speaker 3: would have a similar type of force, and so they're going, uh, 493 00:26:29,000 --> 00:26:32,280 Speaker 3: she was laying on the tracks. And this is where 494 00:26:32,400 --> 00:26:36,600 Speaker 3: it's from a sequence standpoint. If she's laying on the 495 00:26:36,640 --> 00:26:38,760 Speaker 3: tracks and the front of the train is designed in 496 00:26:38,800 --> 00:26:41,520 Speaker 3: a certain way where it's low down, would she have 497 00:26:41,640 --> 00:26:44,840 Speaker 3: been pushed away before kind of bawling up underneath it? 498 00:26:45,480 --> 00:26:49,200 Speaker 3: Or when the train stopped, was she placed in between 499 00:26:49,280 --> 00:26:52,119 Speaker 3: let's say two cars and then the train starts up again. 500 00:26:52,520 --> 00:26:54,800 Speaker 1: That's awful, think about. 501 00:26:56,440 --> 00:27:01,240 Speaker 2: Okay, Well, agent Paramus feels like this is a suicide 502 00:27:01,880 --> 00:27:04,880 Speaker 2: and he thinks that she came and laid on the tracks, 503 00:27:05,280 --> 00:27:08,360 Speaker 2: and that's how you get it both ways. Now, the coroner, 504 00:27:08,480 --> 00:27:11,680 Speaker 2: to his credit, says, I don't think that's what happened. 505 00:27:11,800 --> 00:27:15,440 Speaker 2: And he's it's interesting because he's not thinking medically, he's 506 00:27:15,440 --> 00:27:18,760 Speaker 2: thinking more common sense. He said, we know when this 507 00:27:18,880 --> 00:27:21,520 Speaker 2: happened because the cap fell off. Trains were going back 508 00:27:21,560 --> 00:27:23,880 Speaker 2: and forth here. You know, we know when this happened. 509 00:27:24,160 --> 00:27:27,960 Speaker 2: And he said, what is a teenage girl doing out 510 00:27:28,000 --> 00:27:31,520 Speaker 2: here by herself at midnight? He said, it just doesn't 511 00:27:31,560 --> 00:27:34,920 Speaker 2: make any sense whatsoever. And you know that she's out 512 00:27:34,920 --> 00:27:38,400 Speaker 2: walking alone, and maybe she snuck out and did this, 513 00:27:38,520 --> 00:27:41,439 Speaker 2: but he he is really thinking there has to be 514 00:27:41,480 --> 00:27:42,719 Speaker 2: a much bigger investigation. 515 00:27:43,560 --> 00:27:46,359 Speaker 3: Well, sure, you know, the lack of blood is a 516 00:27:46,400 --> 00:27:49,600 Speaker 3: red flag, and then you know, part of I think 517 00:27:49,920 --> 00:27:53,400 Speaker 3: my thought is is that, Okay, one potential, let's say 518 00:27:53,520 --> 00:27:56,679 Speaker 3: victim pool if you will, is like what you brought up. 519 00:27:56,760 --> 00:28:00,760 Speaker 3: You know, teenage girl out walking in a relatively remote 520 00:28:00,800 --> 00:28:04,119 Speaker 3: location along the train tracks. That does happen, you know, 521 00:28:04,680 --> 00:28:08,640 Speaker 3: But you also have individuals on the train the train stopped. 522 00:28:09,200 --> 00:28:11,480 Speaker 3: Was she a passenger on the train? Yep? 523 00:28:11,680 --> 00:28:12,280 Speaker 1: Good question. 524 00:28:12,920 --> 00:28:17,760 Speaker 2: So what the coroner does is he starts interviewing railroad workers. 525 00:28:18,000 --> 00:28:21,120 Speaker 2: I'm assuming that Agent Paramus is with him through all 526 00:28:21,160 --> 00:28:23,760 Speaker 2: of this, But I'm just hearing this from doctor Cleveland's 527 00:28:23,760 --> 00:28:25,840 Speaker 2: see what I mean. I mean, I didn't think would 528 00:28:25,880 --> 00:28:28,600 Speaker 2: he do that? Would a corner normally do that? He's 529 00:28:28,640 --> 00:28:30,360 Speaker 2: investigating in the field. 530 00:28:30,560 --> 00:28:33,920 Speaker 3: Well, this is this is a death investigation. That is 531 00:28:34,000 --> 00:28:38,520 Speaker 3: his role. And then the paramus is that his name. Yeah, 532 00:28:38,800 --> 00:28:44,120 Speaker 3: he's looking at this as okay, is this falling into 533 00:28:44,320 --> 00:28:47,640 Speaker 3: where now you have homicide? Because if it's if it's 534 00:28:47,680 --> 00:28:52,880 Speaker 3: suicide or accidental, then basically it's all on the corner. 535 00:28:53,680 --> 00:28:56,320 Speaker 3: So that's now the coroner has to come to a 536 00:28:56,320 --> 00:29:00,640 Speaker 3: decision and find evidence to suggest what is the manner 537 00:29:00,680 --> 00:29:02,200 Speaker 3: of death with this teenage girl. 538 00:29:02,400 --> 00:29:04,960 Speaker 2: Well, let me tell you what the real workers say, Cleveland. 539 00:29:05,000 --> 00:29:08,760 Speaker 2: Doctor Cleveland talks to one in particular, he asks the worker, 540 00:29:09,280 --> 00:29:12,120 Speaker 2: you know, you know these tracks, it's midnight, it's dark. 541 00:29:12,160 --> 00:29:15,360 Speaker 2: Would anybody have seen her? And he said, from where 542 00:29:15,400 --> 00:29:18,600 Speaker 2: the engineer was coming from. And the engineer corroborates this 543 00:29:18,760 --> 00:29:21,480 Speaker 2: from the way and the speed the engineer was coming from. 544 00:29:21,480 --> 00:29:22,960 Speaker 1: In the speed that he was at. 545 00:29:23,080 --> 00:29:26,720 Speaker 2: There's a huge poll that would have blocked the view. 546 00:29:27,200 --> 00:29:29,960 Speaker 2: If she were on the track already, he wouldn't have 547 00:29:30,000 --> 00:29:32,840 Speaker 2: seen her. And as you've already noted, nobody would have 548 00:29:32,880 --> 00:29:35,280 Speaker 2: felt this, you know, a body on the tracks in 549 00:29:35,280 --> 00:29:37,240 Speaker 2: that way, he said. 550 00:29:37,720 --> 00:29:39,720 Speaker 1: The worker's very astute worker. 551 00:29:39,800 --> 00:29:42,240 Speaker 2: He says, if anybody had wanted to put the body 552 00:29:42,600 --> 00:29:45,800 Speaker 2: there to run it over, you couldn't have picked a 553 00:29:45,800 --> 00:29:48,400 Speaker 2: better spot. It looks to me like it was placed 554 00:29:48,400 --> 00:29:50,920 Speaker 2: on the track with great care and after a little 555 00:29:50,920 --> 00:29:54,320 Speaker 2: bit of study on the situation. But he's not deducing 556 00:29:54,360 --> 00:29:58,280 Speaker 2: that if this is murder and she was murdered somewhere else, 557 00:29:58,480 --> 00:30:01,240 Speaker 2: that the killer is trying to ask her identity, because 558 00:30:01,240 --> 00:30:03,760 Speaker 2: I think he thought to himself, why not put her 559 00:30:03,880 --> 00:30:05,920 Speaker 2: face on the track, Why not put her head on 560 00:30:05,920 --> 00:30:08,360 Speaker 2: the track, and then you'll it will be very difficult 561 00:30:08,600 --> 00:30:10,880 Speaker 2: unless somebody's looking for her, it'll be very difficult to 562 00:30:10,960 --> 00:30:13,160 Speaker 2: identify her. And you know, you can see her face, 563 00:30:13,200 --> 00:30:14,960 Speaker 2: so she'll be able to be identified soon. 564 00:30:15,360 --> 00:30:17,840 Speaker 3: Yeah, you know, in eighteen ninety nine, I mean this 565 00:30:17,880 --> 00:30:22,360 Speaker 3: is really probably before this jurisdiction would have been using 566 00:30:22,400 --> 00:30:27,320 Speaker 3: any type of fingerprint for identification, so you know, the 567 00:30:27,880 --> 00:30:33,040 Speaker 3: facial identification or just you know, like her dress, there's 568 00:30:33,040 --> 00:30:35,560 Speaker 3: a missing person's report, can you match up what the 569 00:30:35,640 --> 00:30:39,280 Speaker 3: victim's wearing her physical description to a missing person's report? 570 00:30:40,080 --> 00:30:43,800 Speaker 3: But yeah, it would be difficult. These remains are a mess. Yeah, 571 00:30:44,040 --> 00:30:47,200 Speaker 3: that's further complicating identifying this victim. 572 00:30:47,360 --> 00:30:50,200 Speaker 2: Well, what they're doing is canvassing the whole area, and 573 00:30:50,240 --> 00:30:54,280 Speaker 2: they're starting with the towns, the areas, you know, the 574 00:30:54,360 --> 00:30:57,120 Speaker 2: rural places that are closest to the tracks, and then 575 00:30:57,280 --> 00:31:01,960 Speaker 2: trying to move outward. They find out while they're interviewing 576 00:31:02,000 --> 00:31:05,360 Speaker 2: these folks that there is a family called the Trips. 577 00:31:05,720 --> 00:31:07,120 Speaker 1: They are wealthy for. 578 00:31:07,120 --> 00:31:12,320 Speaker 2: That area, well known, and they had just reported a 579 00:31:12,360 --> 00:31:16,600 Speaker 2: teenage girl missing. Let me tell you about the family. 580 00:31:16,960 --> 00:31:20,880 Speaker 2: It's a very very big family. But the patriarch who 581 00:31:20,960 --> 00:31:22,520 Speaker 2: is you know, we've got a couple of key people 582 00:31:22,520 --> 00:31:23,200 Speaker 2: who are important. 583 00:31:23,240 --> 00:31:24,840 Speaker 1: The patriarch is Henry. 584 00:31:25,080 --> 00:31:28,520 Speaker 2: His wife is Matilda, and they have an adult daughter 585 00:31:28,720 --> 00:31:32,800 Speaker 2: whose name is Aya. Aya still lives on the homestead 586 00:31:33,520 --> 00:31:36,640 Speaker 2: and along with her brother whose name is Lauren, and 587 00:31:36,680 --> 00:31:39,840 Speaker 2: he has a wife named Carrie. There's a homestead and 588 00:31:39,880 --> 00:31:43,240 Speaker 2: then Lauren and Carrie live across the street. So very 589 00:31:43,280 --> 00:31:46,880 Speaker 2: tight knit family. They have a teenage daughter. Her name 590 00:31:46,920 --> 00:31:49,760 Speaker 2: is Sarah Mumford. Sarah is the victim in this case. 591 00:31:50,240 --> 00:31:53,920 Speaker 2: So they are four miles from the crossing and the 592 00:31:53,960 --> 00:31:56,520 Speaker 2: Trips have been knocking on all of their neighbor's doors 593 00:31:56,680 --> 00:32:01,240 Speaker 2: since ten pm the night before, So this bad thing 594 00:32:01,280 --> 00:32:04,480 Speaker 2: happens at midnight on the eighth. They two hours before 595 00:32:04,680 --> 00:32:08,120 Speaker 2: started looking for Sarah. They say that Sarah, who had 596 00:32:08,160 --> 00:32:11,120 Speaker 2: been living with them for you know, four to six years, 597 00:32:11,240 --> 00:32:12,000 Speaker 2: has vanished. 598 00:32:12,960 --> 00:32:14,320 Speaker 1: She is sixteen. 599 00:32:14,880 --> 00:32:18,920 Speaker 2: She had left the house around nine o'clock and she 600 00:32:19,040 --> 00:32:21,800 Speaker 2: said that she was going to go visit members of 601 00:32:21,800 --> 00:32:24,920 Speaker 2: the family. It could have been her adopted brother or 602 00:32:24,920 --> 00:32:26,720 Speaker 2: her brother across the street and his wife. 603 00:32:26,760 --> 00:32:29,320 Speaker 1: They don't know, but you know, it's unclear. 604 00:32:29,480 --> 00:32:31,280 Speaker 2: They but she was supposed to leave and go visit 605 00:32:31,320 --> 00:32:33,680 Speaker 2: some family members, and she didn't come home. What I 606 00:32:33,680 --> 00:32:37,840 Speaker 2: think is interesting is she leaves at nine, and then 607 00:32:37,960 --> 00:32:42,440 Speaker 2: at ten o'clock, they immediately become worried and they start 608 00:32:42,560 --> 00:32:46,000 Speaker 2: knocking on doors. And the reason I say that's weird is, 609 00:32:46,080 --> 00:32:49,160 Speaker 2: of course you've picked up by now about the lack 610 00:32:49,200 --> 00:32:53,760 Speaker 2: of communication. In the eighteen hundreds, we have often and 611 00:32:53,960 --> 00:32:56,720 Speaker 2: in the early nineteen hundreds, we've had stories where people 612 00:32:56,760 --> 00:33:02,120 Speaker 2: don't report family members missing for several days because it's 613 00:33:02,160 --> 00:33:05,000 Speaker 2: not abnormal. There's no phones, and people come home when 614 00:33:05,040 --> 00:33:08,520 Speaker 2: they come home. And so I was a little alarmed 615 00:33:08,600 --> 00:33:11,080 Speaker 2: by the one hour thing that seems a little early 616 00:33:11,120 --> 00:33:12,520 Speaker 2: to panic, but maybe. 617 00:33:12,240 --> 00:33:17,560 Speaker 3: Not suspiciously quick. That's what I kind of going. Why 618 00:33:18,000 --> 00:33:21,600 Speaker 3: so quick? You know she's leaving the house at nine 619 00:33:21,640 --> 00:33:24,600 Speaker 3: o'clock to go visit family. Has she been told, hey, 620 00:33:24,680 --> 00:33:26,840 Speaker 3: you have to be back by nine point thirty. Okay, 621 00:33:27,280 --> 00:33:29,640 Speaker 3: I'm just going to tuck that little detail away and 622 00:33:29,680 --> 00:33:30,720 Speaker 3: we'll see where this goes. 623 00:33:31,480 --> 00:33:36,320 Speaker 2: The corner decides that he needs to talk to friends 624 00:33:36,320 --> 00:33:40,200 Speaker 2: and family of the Trips and specifically of Sarah. 625 00:33:39,600 --> 00:33:40,480 Speaker 1: In this inquesty. 626 00:33:40,760 --> 00:33:43,640 Speaker 2: He has a lot of people come and testify, including 627 00:33:43,760 --> 00:33:47,320 Speaker 2: several laborers and farm hands who work on or near 628 00:33:47,400 --> 00:33:53,040 Speaker 2: the trip homestead, and they tell the coroner's jury that 629 00:33:53,800 --> 00:33:59,200 Speaker 2: Sarah was grossly mistreated by her adopted family. In the 630 00:33:59,240 --> 00:34:03,640 Speaker 2: form of a so a trigger warning for folks, just 631 00:34:03,920 --> 00:34:05,840 Speaker 2: you know, we are going to be talking about abuse 632 00:34:05,920 --> 00:34:09,359 Speaker 2: of different kinds coming up here on the story. So, 633 00:34:09,920 --> 00:34:13,480 Speaker 2: the witnesses say within the last year, Sarah became more 634 00:34:13,480 --> 00:34:16,640 Speaker 2: and more isolated. She stopped going to church in school, 635 00:34:17,080 --> 00:34:19,480 Speaker 2: she was dressed in ripped up clothes all the. 636 00:34:19,480 --> 00:34:21,200 Speaker 1: Time, worn down shoes. 637 00:34:21,800 --> 00:34:24,360 Speaker 2: It felt to neighbors like she had been told to 638 00:34:24,360 --> 00:34:28,719 Speaker 2: stop talking to them. A lot of the testimony suggested 639 00:34:28,719 --> 00:34:31,879 Speaker 2: that she had endured a lot of physical abuse and 640 00:34:32,000 --> 00:34:36,000 Speaker 2: torture at the hands of the Trips. The witnesses said 641 00:34:36,239 --> 00:34:39,480 Speaker 2: that they had seen Sarah be tied up, whipped, hit, 642 00:34:39,920 --> 00:34:43,920 Speaker 2: hung from a back shed by her wrists. One report 643 00:34:43,960 --> 00:34:47,440 Speaker 2: says that Sarah was sometimes locked in the corn crib 644 00:34:48,160 --> 00:34:53,040 Speaker 2: as punishment for falling behind on her housework. I forgot 645 00:34:53,040 --> 00:34:54,719 Speaker 2: to look to see what a corn crib is. 646 00:34:55,560 --> 00:34:56,799 Speaker 1: I know you've never heard of that. 647 00:34:57,239 --> 00:34:59,479 Speaker 2: Well, I the reason I want to know is because 648 00:34:59,480 --> 00:35:01,440 Speaker 2: I want to know how how small or big thiss is. 649 00:35:01,920 --> 00:35:03,440 Speaker 1: I mean, it looks like a barn to me. 650 00:35:04,040 --> 00:35:06,760 Speaker 3: So who's doing all of this abuse? Is it Henry 651 00:35:07,000 --> 00:35:09,560 Speaker 3: or or other family members also participating? 652 00:35:09,719 --> 00:35:12,400 Speaker 1: It sounds like several different kinds of people. 653 00:35:12,760 --> 00:35:15,880 Speaker 2: They're vague right now, but I think the adoptive father 654 00:35:16,080 --> 00:35:17,920 Speaker 2: is the head of it. Of course, none of this 655 00:35:18,040 --> 00:35:21,319 Speaker 2: makes the trip family, who is a respectable family and 656 00:35:21,400 --> 00:35:24,279 Speaker 2: they're you know, very well known and they're wealthy for 657 00:35:24,360 --> 00:35:27,440 Speaker 2: the area. Doesn't make them look any good at all. 658 00:35:27,719 --> 00:35:30,680 Speaker 2: But there's also no smoking gun in this case. So 659 00:35:30,960 --> 00:35:35,080 Speaker 2: if anything, what people who are defending the Trips say 660 00:35:35,239 --> 00:35:39,239 Speaker 2: is isn't this just more evidence of why Sarah was 661 00:35:39,960 --> 00:35:43,240 Speaker 2: willing to go and lay down on the railroad tracks 662 00:35:43,239 --> 00:35:45,719 Speaker 2: and take her own life because she was miserable and 663 00:35:45,800 --> 00:35:47,319 Speaker 2: she was abused. 664 00:35:47,120 --> 00:35:49,439 Speaker 1: Which you can go both ways on that, right. 665 00:35:49,960 --> 00:35:52,400 Speaker 3: Yeah. No, That's what I was thinking is on one hand, 666 00:35:52,880 --> 00:35:56,680 Speaker 3: you know, victimology would suggest that potentially she was just 667 00:35:56,680 --> 00:35:59,480 Speaker 3: done with life and decided, you know, I can't take 668 00:35:59,520 --> 00:36:02,600 Speaker 3: this anymore. But on the other hand, you now have 669 00:36:02,760 --> 00:36:05,600 Speaker 3: a family that's willing to commit a level of violence 670 00:36:05,640 --> 00:36:10,560 Speaker 3: against her. I suspect with the types of violence that's 671 00:36:10,600 --> 00:36:15,400 Speaker 3: occurring to Sarah, I wouldn't also think that there's possibly 672 00:36:15,440 --> 00:36:18,520 Speaker 3: sexual abuse going on by Henry or maybe one of 673 00:36:18,600 --> 00:36:22,759 Speaker 3: the other men in this family. But then, as you 674 00:36:22,840 --> 00:36:27,840 Speaker 3: were talking, this isn't just the family that's on this property. 675 00:36:27,920 --> 00:36:31,000 Speaker 3: You have a whole other, suspect pool of farm hands 676 00:36:31,200 --> 00:36:33,480 Speaker 3: and whoever else is flowing in and out of this 677 00:36:34,800 --> 00:36:37,400 Speaker 3: homestead slash farm. Yeah. 678 00:36:37,520 --> 00:36:39,799 Speaker 2: The other thing I was thinking about, Paul, if you 679 00:36:39,840 --> 00:36:43,440 Speaker 2: put together this picture of this family, which seems controlling. 680 00:36:44,040 --> 00:36:47,520 Speaker 2: They said she's being isolated. You know, I'm sure they're 681 00:36:47,560 --> 00:36:50,200 Speaker 2: keeping an eye on her. Would they really let her 682 00:36:50,719 --> 00:36:54,920 Speaker 2: leave the homestead at nine o'clock at night to maybe 683 00:36:55,000 --> 00:36:57,200 Speaker 2: run away or maybe call for help. 684 00:36:57,239 --> 00:36:57,719 Speaker 1: I don't know. 685 00:36:58,160 --> 00:37:00,360 Speaker 2: It just seems a little weird that they're are like, 686 00:37:00,440 --> 00:37:01,839 Speaker 2: go ahead, Sarah, go have a good time. 687 00:37:01,880 --> 00:37:04,080 Speaker 1: We'll see you whenever, and then they freak out. 688 00:37:04,960 --> 00:37:07,000 Speaker 3: I think that's a very good point that you are making. 689 00:37:07,200 --> 00:37:09,640 Speaker 3: You know, they are showing a level of coursive control 690 00:37:09,680 --> 00:37:11,960 Speaker 3: over Sarah. You know, and this is this is part 691 00:37:12,000 --> 00:37:15,840 Speaker 3: of what you see in abuse situations, you know, whether 692 00:37:15,920 --> 00:37:21,520 Speaker 3: it be domestic abuse or its abuse against children. You see, 693 00:37:21,520 --> 00:37:25,840 Speaker 3: the offender gets more and more control over that victim 694 00:37:26,160 --> 00:37:29,320 Speaker 3: to a point because that offender knows if the victim 695 00:37:29,400 --> 00:37:33,160 Speaker 3: is able to get outside of my control, and that 696 00:37:33,200 --> 00:37:36,719 Speaker 3: could be physically outside or electronically today or whatever else, 697 00:37:37,120 --> 00:37:40,719 Speaker 3: that victim could divulge and the offender, of course now 698 00:37:40,840 --> 00:37:43,880 Speaker 3: is at risk of being brought to the attention of authorities. 699 00:37:44,280 --> 00:37:48,200 Speaker 3: But also for an offender that wants to continuously abuse, 700 00:37:49,120 --> 00:37:52,440 Speaker 3: they lose that access to the victim if the victim leaves. 701 00:37:52,480 --> 00:37:55,720 Speaker 3: And so in this particular case, the fact that she's 702 00:37:55,719 --> 00:37:58,760 Speaker 3: only gone for an hour and now they're frantically looking 703 00:37:58,800 --> 00:38:01,800 Speaker 3: for her, that that's like, oh, we lost control. 704 00:38:02,840 --> 00:38:06,759 Speaker 2: Uh oh, And doctor Cleveland is more and more suspicious. 705 00:38:06,920 --> 00:38:09,120 Speaker 2: I don't know about Agent Paramus at this point, but 706 00:38:09,200 --> 00:38:12,080 Speaker 2: I'm impressed with the coroner here. He is more and 707 00:38:12,080 --> 00:38:15,600 Speaker 2: more suspicious. This inquest goes on for weeks. He it 708 00:38:15,640 --> 00:38:19,040 Speaker 2: sounds like, calls everybody in the area to get their opinion. 709 00:38:19,680 --> 00:38:23,359 Speaker 2: So in the coming weeks there are more people who testify, 710 00:38:23,480 --> 00:38:25,120 Speaker 2: and none of this helps the trips. 711 00:38:25,480 --> 00:38:27,160 Speaker 1: So here's what's interesting. 712 00:38:27,200 --> 00:38:29,200 Speaker 2: And while I'm going to have you look at the 713 00:38:29,520 --> 00:38:32,879 Speaker 2: one photo slash drawing that you know I sent you 714 00:38:32,920 --> 00:38:36,719 Speaker 2: because eighteen ninety nine, several witnesses say that around ten 715 00:38:36,760 --> 00:38:41,040 Speaker 2: o'clock that night on June eighth, we know that people 716 00:38:41,040 --> 00:38:44,480 Speaker 2: were answering their doors and the parents, Henry and his 717 00:38:44,520 --> 00:38:47,319 Speaker 2: wife Matilda, are asking where our daughter is? 718 00:38:47,320 --> 00:38:49,360 Speaker 1: Have you seen her? Where Sarah? 719 00:38:49,400 --> 00:38:54,400 Speaker 2: But there's several witnesses who say that same time, the 720 00:38:54,520 --> 00:38:57,440 Speaker 2: brother who lives across the street with his wife Lauren, 721 00:38:57,800 --> 00:38:59,960 Speaker 2: so this is an adult son, was driving the Fan 722 00:39:00,000 --> 00:39:05,200 Speaker 2: family's distinctive canopy topped horse drawn wagon. Is it rich 723 00:39:05,280 --> 00:39:09,000 Speaker 2: It sounds like, and he was going, you know, door 724 00:39:09,040 --> 00:39:12,640 Speaker 2: to door, telling neighbors that Sarah was missing. 725 00:39:13,040 --> 00:39:16,920 Speaker 1: But they started to see some weird things. And remember 726 00:39:16,920 --> 00:39:18,080 Speaker 1: this is very distinctive. 727 00:39:18,160 --> 00:39:22,840 Speaker 2: They said that Lauren's sister so a Yah, so this 728 00:39:22,880 --> 00:39:26,880 Speaker 2: would be Sarah's half or Sarah's adoptive sister, was also 729 00:39:27,000 --> 00:39:30,240 Speaker 2: with him in the carriage. They said that the trips 730 00:39:30,280 --> 00:39:35,680 Speaker 2: wagon passed by them with curtains drawn later that same night, 731 00:39:36,480 --> 00:39:38,920 Speaker 2: which they thought was really unusual. 732 00:39:39,680 --> 00:39:41,640 Speaker 1: You know, I mean, you would do that for privacy. 733 00:39:41,719 --> 00:39:45,000 Speaker 2: But it is pitch black outside and you could see 734 00:39:45,120 --> 00:39:48,000 Speaker 2: enough to see that they had drawn the curtains, and 735 00:39:48,080 --> 00:39:49,520 Speaker 2: it was a you know, when we talk about that 736 00:39:49,640 --> 00:39:53,200 Speaker 2: historical context, what alarms people? The laundry hanging out in 737 00:39:53,200 --> 00:39:55,279 Speaker 2: the middle of the rain, what is alarming? This was 738 00:39:55,320 --> 00:39:59,600 Speaker 2: alarming to people who saw the fancy carriage with the 739 00:39:59,680 --> 00:40:00,480 Speaker 2: curtain drawn. 740 00:40:00,840 --> 00:40:03,239 Speaker 3: Well, and that's interesting from a just you know, a 741 00:40:03,280 --> 00:40:06,680 Speaker 3: witness perspective. You know, if we were thinking about this today, 742 00:40:07,520 --> 00:40:10,279 Speaker 3: you know, if we saw a cargo by at night 743 00:40:10,560 --> 00:40:14,560 Speaker 3: and towels hung up and you know, across all the windows, 744 00:40:14,600 --> 00:40:17,760 Speaker 3: we'd go, that's weird. So I'm putting a fair amount 745 00:40:17,760 --> 00:40:20,759 Speaker 3: of stock into that detail, you know. And this is 746 00:40:20,840 --> 00:40:24,839 Speaker 3: where you know, I'm starting to forge ahead mentally on 747 00:40:24,880 --> 00:40:29,200 Speaker 3: this going Okay, if I'm investigator, promise and I'm now 748 00:40:29,360 --> 00:40:31,680 Speaker 3: putting two and two together. I have no blood at 749 00:40:32,360 --> 00:40:35,480 Speaker 3: at the death scene where the train ran over Sarah, 750 00:40:35,760 --> 00:40:38,480 Speaker 3: and I now have an abusive family with a witness 751 00:40:38,480 --> 00:40:42,400 Speaker 3: saying that they're doing something weird transporting this horse drawn 752 00:40:42,960 --> 00:40:46,440 Speaker 3: wagon with the curtains drawn going. Well, that sounds like 753 00:40:46,440 --> 00:40:49,880 Speaker 3: they're moving a body. So if Sarah killed on the property, 754 00:40:50,280 --> 00:40:52,080 Speaker 3: now I want to get a warrant. I want to 755 00:40:52,080 --> 00:40:53,960 Speaker 3: take a look and see if I can find a 756 00:40:54,120 --> 00:40:57,520 Speaker 3: major deposition of blood that would suggest, yes, this is 757 00:40:57,560 --> 00:40:58,680 Speaker 3: a homicide scene. 758 00:40:58,880 --> 00:41:01,360 Speaker 2: Well let me tell you, but I think seems like 759 00:41:01,600 --> 00:41:04,319 Speaker 2: in some ways the most definitive evidence they might have 760 00:41:04,920 --> 00:41:09,560 Speaker 2: because they have this unusual Richie Rich wagon. Someone spots 761 00:41:09,600 --> 00:41:14,480 Speaker 2: it heading toward the railroad crossing at Shawnee at eleven thirty, 762 00:41:14,880 --> 00:41:18,440 Speaker 2: thirty minutes before Sarah's body would be hit by that train, 763 00:41:18,960 --> 00:41:20,719 Speaker 2: and that's where the map is. If you want to 764 00:41:20,719 --> 00:41:23,000 Speaker 2: look at that map that I sent you, it actually 765 00:41:23,000 --> 00:41:26,160 Speaker 2: helps me to see this map, even though I realize 766 00:41:26,200 --> 00:41:30,080 Speaker 2: it's a little pedestrian, but to see the distance. 767 00:41:29,680 --> 00:41:33,640 Speaker 3: Between what you're alluding to and what's the significance of 768 00:41:33,680 --> 00:41:37,640 Speaker 3: this map is it? It really is showing you know Sarah. 769 00:41:37,680 --> 00:41:41,439 Speaker 3: Of course, is a distance away from her home, which 770 00:41:41,440 --> 00:41:44,279 Speaker 3: I believe you said was about four miles, and the 771 00:41:44,320 --> 00:41:48,759 Speaker 3: witnesses are seeing the trip's wagon at eleven thirty at night, 772 00:41:48,880 --> 00:41:51,200 Speaker 3: all the way out there by where Sarah's body was 773 00:41:51,280 --> 00:41:55,880 Speaker 3: ultimately found. So, yeah, that's suspicious. 774 00:41:55,320 --> 00:41:58,480 Speaker 2: But it's at night, So how much do we trust 775 00:41:58,560 --> 00:41:59,560 Speaker 2: it if it's at night? 776 00:42:00,239 --> 00:42:06,880 Speaker 3: Trying to evaluate this witness is the details being provided 777 00:42:07,360 --> 00:42:12,920 Speaker 3: related to this very distinctive canopy covered horse drawn wagon 778 00:42:13,560 --> 00:42:16,080 Speaker 3: that sounds like it is going to be very rare. 779 00:42:17,120 --> 00:42:20,279 Speaker 3: Only very wealthy people would have this, and it just 780 00:42:20,360 --> 00:42:23,480 Speaker 3: so happens that the Trips have that type of wagon. 781 00:42:23,880 --> 00:42:27,080 Speaker 3: I think that that's a pretty significant detail that they 782 00:42:27,080 --> 00:42:29,759 Speaker 3: are providing, and so I put some weight on it. Sure, 783 00:42:29,800 --> 00:42:32,520 Speaker 3: it could be coincidental. Maybe you have another wealthy family 784 00:42:32,520 --> 00:42:35,719 Speaker 3: that just happened to be driving near where Sarah was 785 00:42:35,800 --> 00:42:39,200 Speaker 3: hit by the train at that time of night. But 786 00:42:39,560 --> 00:42:44,640 Speaker 3: there's other circumstances that start to snowball, if you will, 787 00:42:44,680 --> 00:42:48,000 Speaker 3: when you start thinking about everything that's now kind of 788 00:42:48,040 --> 00:42:52,640 Speaker 3: coalescing and drawing suspicion to the family itself. 789 00:42:54,080 --> 00:42:57,560 Speaker 2: Speaking of the family, they are called to the Corners 790 00:42:57,600 --> 00:42:58,120 Speaker 2: in quest. 791 00:42:58,640 --> 00:43:01,080 Speaker 1: They do a couple of things. Number One, they all. 792 00:43:01,040 --> 00:43:05,640 Speaker 2: Sort of downplay any of the abuse, probably saying it's 793 00:43:05,880 --> 00:43:08,399 Speaker 2: what everybody does around here. You have to be tough 794 00:43:08,440 --> 00:43:11,640 Speaker 2: on these girls, and blah blah blah. They were saying 795 00:43:11,680 --> 00:43:15,480 Speaker 2: that she's actually pretty happy. And there are some witnesses 796 00:43:16,040 --> 00:43:18,959 Speaker 2: who inexplicably get on the stand and say the same thing. 797 00:43:19,840 --> 00:43:23,239 Speaker 2: What would the corner do or the corner's jury do. 798 00:43:23,840 --> 00:43:27,200 Speaker 2: How are they supposed to tell the difference between the 799 00:43:27,239 --> 00:43:29,480 Speaker 2: people who get on the stand and say she was 800 00:43:29,520 --> 00:43:31,799 Speaker 2: abused and then the people who are countering that. 801 00:43:32,000 --> 00:43:33,040 Speaker 1: How do you know who to believe? 802 00:43:33,600 --> 00:43:36,520 Speaker 3: Well, it's taking a look at you know, what are 803 00:43:36,600 --> 00:43:42,920 Speaker 3: the loyalties that the various witnesses have, their relationship to 804 00:43:42,960 --> 00:43:47,520 Speaker 3: the family, How they would be impacted if they are 805 00:43:47,920 --> 00:43:52,439 Speaker 3: providing statements. So you think about the farm hands. You know, 806 00:43:52,600 --> 00:43:55,520 Speaker 3: they're coming forward and saying, well, she's being abused by 807 00:43:55,560 --> 00:44:00,359 Speaker 3: the family. They could lose their job, if you will, 808 00:44:00,760 --> 00:44:03,640 Speaker 3: where the trip family could cut them loose by saying 809 00:44:03,680 --> 00:44:07,719 Speaker 3: something like that. But their willingness to say that suggests 810 00:44:07,760 --> 00:44:10,359 Speaker 3: to me, Okay, this is something that they're they're they're 811 00:44:10,400 --> 00:44:15,920 Speaker 3: putting their livelihood at risk to to tell this detail. 812 00:44:16,040 --> 00:44:19,200 Speaker 3: Why would they lie about that when they could lose 813 00:44:19,239 --> 00:44:23,760 Speaker 3: their job from the trip family versus maybe family friends 814 00:44:24,239 --> 00:44:27,960 Speaker 3: you know, who have relationships with the trips, maybe benefit 815 00:44:28,000 --> 00:44:31,279 Speaker 3: from the trip's wealth, And they go, well, yeah, if 816 00:44:31,320 --> 00:44:35,319 Speaker 3: they're found to be abusive to Sarah and come under 817 00:44:35,360 --> 00:44:39,640 Speaker 3: suspicion and her death, we lose you know, sort of 818 00:44:39,680 --> 00:44:41,640 Speaker 3: the if you want to use the term sugar daddy, 819 00:44:41,680 --> 00:44:44,200 Speaker 3: I'm not sure if that's politically correct, but you know. 820 00:44:46,400 --> 00:44:48,280 Speaker 1: I think it makes us sound old, but that's. 821 00:44:48,080 --> 00:44:52,399 Speaker 3: Okay, yeah, you know, but that's so that's I think 822 00:44:52,440 --> 00:44:57,880 Speaker 3: that's part of how And that's just even just interviewing witnesses. 823 00:44:58,200 --> 00:45:02,080 Speaker 3: You know, you have to understand and their perspective, where 824 00:45:02,120 --> 00:45:07,200 Speaker 3: their loyalties lie, as well as you know, the specificity 825 00:45:07,239 --> 00:45:09,680 Speaker 3: of the details, you know, and this is where're trying to, 826 00:45:09,719 --> 00:45:12,600 Speaker 3: you know, tease out, you know, truth from lies. 827 00:45:13,040 --> 00:45:15,279 Speaker 2: If you still have the map up that page that 828 00:45:15,360 --> 00:45:18,799 Speaker 2: I sent you scroll down. You can see Sarah, and 829 00:45:18,920 --> 00:45:21,920 Speaker 2: you know, you can see Lauren the man and his wife. 830 00:45:22,000 --> 00:45:24,520 Speaker 2: But look at Henry. He's a lot older than I 831 00:45:24,560 --> 00:45:28,080 Speaker 2: thought he was, and he's maybe On the third page there's. 832 00:45:27,880 --> 00:45:31,680 Speaker 3: Two images of Henry. One appears to be an old 833 00:45:31,719 --> 00:45:35,560 Speaker 3: style photo and I forget if that's what they call 834 00:45:35,920 --> 00:45:38,280 Speaker 3: a lithograph or something like that, and then the others 835 00:45:38,320 --> 00:45:41,960 Speaker 3: like a sketch. But when I look at him, I'm 836 00:45:42,000 --> 00:45:46,640 Speaker 3: now evaluating, you know, his his hairline. I'm looking at 837 00:45:46,680 --> 00:45:49,360 Speaker 3: his beard. The beard looks light colored, like it's gray. 838 00:45:49,880 --> 00:45:54,840 Speaker 3: But he doesn't look like seventy. He looks more my age. 839 00:45:55,360 --> 00:45:58,040 Speaker 3: He's got the you know, the gray beard growing out. 840 00:45:59,000 --> 00:45:59,919 Speaker 1: He's sixty nine. 841 00:46:00,320 --> 00:46:04,359 Speaker 3: Oh good god, really he looks he looks great. 842 00:46:05,960 --> 00:46:08,560 Speaker 2: Because he has all of these kids out there doing 843 00:46:08,640 --> 00:46:09,239 Speaker 2: the work for it. 844 00:46:09,520 --> 00:46:11,759 Speaker 1: Probably, yeah, he said he's born. I just found his 845 00:46:12,239 --> 00:46:12,879 Speaker 1: find a grave. 846 00:46:13,000 --> 00:46:15,560 Speaker 3: Yeah, oh wow, okay, okay. 847 00:46:15,920 --> 00:46:18,560 Speaker 2: Henry gets on the stand and he has his own theory. 848 00:46:19,000 --> 00:46:21,600 Speaker 2: And what's interesting I think about all of this is 849 00:46:22,080 --> 00:46:27,840 Speaker 2: if they leaned into just enough to say, listen, Sarah 850 00:46:28,200 --> 00:46:31,160 Speaker 2: is a sensitive girl. We probably come down on her 851 00:46:31,200 --> 00:46:34,440 Speaker 2: a lot harder than we should, but we love her. 852 00:46:34,520 --> 00:46:37,120 Speaker 1: She knows that. But she's not able to handle the 853 00:46:37,120 --> 00:46:39,799 Speaker 1: pressure of working on our farm. And I think she 854 00:46:39,920 --> 00:46:40,480 Speaker 1: just snapped. 855 00:46:41,200 --> 00:46:45,360 Speaker 2: Then to me, if they admitted not the hard abuse, 856 00:46:45,680 --> 00:46:48,400 Speaker 2: but then maybe they could say that this was you 857 00:46:48,440 --> 00:46:52,040 Speaker 2: could see how this could be a suicide but he's saying, 858 00:46:52,080 --> 00:46:54,080 Speaker 2: she's as happy as a clam, No big deal. 859 00:46:54,360 --> 00:46:58,759 Speaker 3: You know. This is where, in essence, you have competing witnesses, 860 00:46:59,200 --> 00:47:02,520 Speaker 3: you know, in terms of stances that they're taking as 861 00:47:02,560 --> 00:47:06,879 Speaker 3: to you know, how is the inquest going to come 862 00:47:06,920 --> 00:47:11,759 Speaker 3: to a conclusion about accident, suicide or death at the 863 00:47:11,800 --> 00:47:14,759 Speaker 3: hands of another. And this is where well what is 864 00:47:14,800 --> 00:47:15,960 Speaker 3: the physical evidence? 865 00:47:16,480 --> 00:47:18,320 Speaker 1: Well here we go some more information. 866 00:47:18,440 --> 00:47:21,680 Speaker 2: Let me tell you more information first, So Henry says, hey, 867 00:47:21,719 --> 00:47:24,799 Speaker 2: I have a theory of my own. My theory is 868 00:47:24,880 --> 00:47:28,919 Speaker 2: that she was kidnapped and then disposed of, is what 869 00:47:28,960 --> 00:47:31,560 Speaker 2: he thinks. He says that there are three young men 870 00:47:31,640 --> 00:47:36,080 Speaker 2: living in the area, two brothers and another kid, and 871 00:47:36,120 --> 00:47:40,719 Speaker 2: they're sixteen, seventeen, eighteen, and you know that he suggests 872 00:47:40,760 --> 00:47:44,480 Speaker 2: that that they had been cat calling Sarah and maybe 873 00:47:44,520 --> 00:47:49,040 Speaker 2: they kidnapped her and sexually assaulted her and killed or 874 00:47:49,040 --> 00:47:51,600 Speaker 2: put her on the tracks. But these kids all have alibis, 875 00:47:51,840 --> 00:47:54,840 Speaker 2: So he's just throwing these out there, so deflecting, I assume, 876 00:47:54,960 --> 00:47:55,840 Speaker 2: is that what that would be? 877 00:47:56,360 --> 00:47:59,560 Speaker 3: Yeah, you know, that's that's a reasonable theory as to 878 00:47:59,600 --> 00:48:02,520 Speaker 3: possible what could have happened, just like it could be 879 00:48:02,560 --> 00:48:05,080 Speaker 3: one of the farm hands. You know, Sarah's leaving the house. 880 00:48:05,200 --> 00:48:07,400 Speaker 3: I don't know where the farm hands would normally be 881 00:48:07,520 --> 00:48:10,160 Speaker 3: at that time of night, but you know, maybe one 882 00:48:10,200 --> 00:48:12,520 Speaker 3: of them took a fancy to Sarah and followed her 883 00:48:12,840 --> 00:48:16,319 Speaker 3: and grabbed her, and you know it, sexually assaulted, killed her, 884 00:48:16,320 --> 00:48:19,799 Speaker 3: and dumped her body on the tracks. You know this 885 00:48:19,880 --> 00:48:22,640 Speaker 3: is where it's now. Okay, what's the most likely in 886 00:48:22,760 --> 00:48:28,319 Speaker 3: terms of as you start investigating these various investigative pathways? 887 00:48:29,239 --> 00:48:33,400 Speaker 3: What pathway can you go down? The furthest on m. 888 00:48:34,480 --> 00:48:36,640 Speaker 2: Well, let me tell you what we're going to do 889 00:48:36,680 --> 00:48:40,640 Speaker 2: with an autopsy. So doctor Cleveland, you know she's been 890 00:48:40,680 --> 00:48:43,360 Speaker 2: buried and it's now been about five weeks. 891 00:48:43,480 --> 00:48:43,799 Speaker 1: I think. 892 00:48:43,840 --> 00:48:46,919 Speaker 2: Doctor Cleveland says, let's dig her back up and let's 893 00:48:46,960 --> 00:48:49,080 Speaker 2: see what we can find. He really is convinced this 894 00:48:49,200 --> 00:48:53,440 Speaker 2: is murder. So this is into the month, which is incredible. 895 00:48:54,080 --> 00:48:56,239 Speaker 2: This has been going on for a month. So he 896 00:48:56,760 --> 00:49:00,279 Speaker 2: has her exhumed for a full autopsy by a physician 897 00:49:00,360 --> 00:49:04,120 Speaker 2: named doctor Loomis. I guess Cleveland didn't do a full 898 00:49:04,200 --> 00:49:08,560 Speaker 2: autopsy at the time, which surprises me. In June, there 899 00:49:08,600 --> 00:49:11,480 Speaker 2: was a doctor named Willis Petite who had done a 900 00:49:11,520 --> 00:49:16,000 Speaker 2: cursory examination, though not a thorough one. And at this 901 00:49:16,160 --> 00:49:18,759 Speaker 2: point now Sarah had been done for five weeks. Do 902 00:49:18,880 --> 00:49:21,279 Speaker 2: you think that Cleveland didn't wasn't qualified to do the 903 00:49:21,440 --> 00:49:24,520 Speaker 2: autopsy and that's why he had these other physicians around. 904 00:49:24,920 --> 00:49:26,520 Speaker 2: Why would he not do it himself. 905 00:49:27,239 --> 00:49:31,400 Speaker 3: Well, he may not be a pathologist, yeah, you know, 906 00:49:31,440 --> 00:49:34,640 Speaker 3: because the elected corners, you know, you don't have to 907 00:49:34,719 --> 00:49:37,920 Speaker 3: have any type of medical qualification to become an elected corner. 908 00:49:38,280 --> 00:49:40,800 Speaker 3: And oftentimes and still to this day, in many parts 909 00:49:40,840 --> 00:49:43,960 Speaker 3: of the country, you know, you see people that are 910 00:49:44,040 --> 00:49:47,360 Speaker 3: funeral home directors become the elected corner and they have 911 00:49:47,440 --> 00:49:49,680 Speaker 3: to have a staff of your medical examiners or your 912 00:49:49,719 --> 00:49:54,560 Speaker 3: pathologists underneath, you know, to do the autopsies. With Cleveland, 913 00:49:55,320 --> 00:49:58,160 Speaker 3: I don't know what his medical qualifications are, but it 914 00:49:58,280 --> 00:50:00,640 Speaker 3: is a big miss not to do a thorough autopsy 915 00:50:00,719 --> 00:50:01,240 Speaker 3: right away. 916 00:50:01,440 --> 00:50:03,879 Speaker 2: Well, and then I will just do a you know, 917 00:50:04,160 --> 00:50:07,160 Speaker 2: going a mea culpla here, because I have been calling 918 00:50:07,239 --> 00:50:10,000 Speaker 2: him doctor Cleveland, and I think he's a corner. I 919 00:50:10,040 --> 00:50:13,160 Speaker 2: don't think he's a doctor, going back and looking and 920 00:50:13,280 --> 00:50:17,280 Speaker 2: so dismiss every time I call him doctor Cleveland. Sorry, 921 00:50:17,600 --> 00:50:20,160 Speaker 2: but so anyway, it sounds like in June, he had 922 00:50:20,160 --> 00:50:25,280 Speaker 2: one doctor do a cursory examination of her. The sexual 923 00:50:25,320 --> 00:50:29,960 Speaker 2: assault accusation against these three teenagers has sparked the rumor 924 00:50:30,000 --> 00:50:33,240 Speaker 2: that maybe Sarah was pregnant. Not by one of these guys, 925 00:50:33,280 --> 00:50:36,800 Speaker 2: because they have alibis, but now everybody's got that churning 926 00:50:36,880 --> 00:50:39,480 Speaker 2: in her in their heads that maybe she was pregnant. 927 00:50:39,680 --> 00:50:42,719 Speaker 2: So that's another reason why Cleveland says, okay, let's bring 928 00:50:42,719 --> 00:50:44,960 Speaker 2: in a doctor. Let's do a full autopsy and find 929 00:50:45,000 --> 00:50:48,799 Speaker 2: out some things. Loomis, who is the guy who looks 930 00:50:48,840 --> 00:50:51,720 Speaker 2: at her body. Five weeks after she's been in the ground. 931 00:50:52,400 --> 00:50:56,120 Speaker 2: He and doctor Petite do an autopsy and they testify 932 00:50:56,200 --> 00:51:00,200 Speaker 2: that she had several injuries, including a skull fracture that 933 00:51:00,239 --> 00:51:02,640 Speaker 2: we're serious enough to cause her death. But you know, 934 00:51:02,760 --> 00:51:05,279 Speaker 2: Louis says, I don't know if one of them was 935 00:51:05,280 --> 00:51:08,640 Speaker 2: the fatal wound, which one it was. He said, I 936 00:51:08,680 --> 00:51:11,840 Speaker 2: don't know if these injuries happened before Sarah was hit 937 00:51:11,920 --> 00:51:14,400 Speaker 2: by the train or as she was being hit by 938 00:51:14,480 --> 00:51:17,800 Speaker 2: the train. But most importantly, and tell me what you 939 00:51:17,840 --> 00:51:19,839 Speaker 2: think about this, I think we've kind of gone over 940 00:51:19,920 --> 00:51:22,040 Speaker 2: this a little bit. Doctor Loomis said that many of 941 00:51:22,080 --> 00:51:26,200 Speaker 2: the injuries would have caused major external bleeding, and we 942 00:51:26,280 --> 00:51:29,600 Speaker 2: talked about this before. So because there was no blood 943 00:51:29,880 --> 00:51:32,760 Speaker 2: on the tracks, he said, I think she was already 944 00:51:32,800 --> 00:51:35,960 Speaker 2: dead beforehand. And obviously it's foul play because there's so 945 00:51:36,000 --> 00:51:36,760 Speaker 2: many injuries. 946 00:51:37,640 --> 00:51:40,239 Speaker 3: Kind of going back to, you know, my thought about 947 00:51:40,320 --> 00:51:45,040 Speaker 3: trying to determine, you know, what injuries occurred prior to 948 00:51:45,080 --> 00:51:49,360 Speaker 3: being run over by a train. That's that would be 949 00:51:49,560 --> 00:51:53,600 Speaker 3: so hard unless there's obvious you know, like stab wounds. 950 00:51:54,440 --> 00:51:57,040 Speaker 3: Even I was thinking about, you know, if her throat 951 00:51:57,080 --> 00:51:59,640 Speaker 3: had been cut, but then you could see where, you know, 952 00:52:00,040 --> 00:52:05,240 Speaker 3: something on the train possibly mimic that type of injury. 953 00:52:05,600 --> 00:52:09,120 Speaker 3: The most significant thing to me is that, you know, 954 00:52:09,400 --> 00:52:13,880 Speaker 3: her body is all flayed open in essence, and he's 955 00:52:14,360 --> 00:52:17,480 Speaker 3: drawing the conclusion she would be bleeding all over the 956 00:52:17,480 --> 00:52:20,000 Speaker 3: place if she had blood in her body at the 957 00:52:20,040 --> 00:52:23,200 Speaker 3: time the train ran over her. So she was dead 958 00:52:23,280 --> 00:52:27,040 Speaker 3: and had a bleeding injury where she basically bled out 959 00:52:27,120 --> 00:52:28,240 Speaker 3: at some other location. 960 00:52:28,640 --> 00:52:30,440 Speaker 1: Well, I think that's a great theory. 961 00:52:30,760 --> 00:52:34,480 Speaker 2: And to add to that, just to dispel rumors, doctor 962 00:52:34,520 --> 00:52:38,279 Speaker 2: Loomis says she wasn't pregnant. He says that there are 963 00:52:38,320 --> 00:52:41,680 Speaker 2: no I'll put in the word obvious signs of sexual assault, 964 00:52:42,600 --> 00:52:46,640 Speaker 2: and he said that I don't know which came first, 965 00:52:46,920 --> 00:52:50,359 Speaker 2: you know how the death happened, but it's clear that 966 00:52:50,760 --> 00:52:53,759 Speaker 2: she was dead before she was on the tracks. So 967 00:52:54,160 --> 00:52:57,600 Speaker 2: now this is a weird kind of dovetail of a 968 00:52:57,640 --> 00:53:00,480 Speaker 2: story that we have to get into. Also, all of 969 00:53:00,520 --> 00:53:04,640 Speaker 2: these statements end up colliding with a story from the 970 00:53:04,719 --> 00:53:10,120 Speaker 2: family that doesn't seem to involve Sarah, but it might. 971 00:53:10,680 --> 00:53:14,200 Speaker 2: So Lauren, the son and his wife had a baby. 972 00:53:14,360 --> 00:53:17,840 Speaker 2: Her name was Susan, and she died when she was 973 00:53:17,840 --> 00:53:23,840 Speaker 2: two months old, two years earlier, and they said shadowy circumstances. 974 00:53:23,880 --> 00:53:24,600 Speaker 1: At first, blush. 975 00:53:24,640 --> 00:53:27,600 Speaker 2: I thought shadowy circumstances for a two month old baby 976 00:53:27,600 --> 00:53:29,640 Speaker 2: in the eighteen hundreds when there was all sorts of 977 00:53:29,840 --> 00:53:32,360 Speaker 2: viral and bacteria and everything else you can think of. 978 00:53:33,280 --> 00:53:37,399 Speaker 2: But what happened was that Lauren said his daughter had 979 00:53:37,440 --> 00:53:41,480 Speaker 2: died of an accidental smothering with blankets. I'm assuming you know, 980 00:53:41,520 --> 00:53:43,840 Speaker 2: all that kind of stuff that we're told not to 981 00:53:43,880 --> 00:53:48,239 Speaker 2: do anymore. But for some unknown reason, her birth and 982 00:53:48,640 --> 00:53:52,799 Speaker 2: her death were both registered in a neighboring county, not 983 00:53:53,000 --> 00:53:56,360 Speaker 2: the ones that the Trips lived in, and the coroner 984 00:53:56,520 --> 00:54:00,799 Speaker 2: was never notified when she died, so Cleveland know about this. 985 00:54:01,160 --> 00:54:04,960 Speaker 2: Registering a child's death with a local clerk is required 986 00:54:04,960 --> 00:54:07,480 Speaker 2: by law in eighteen ninety nine, as well as letting 987 00:54:07,480 --> 00:54:12,000 Speaker 2: Cleveland know that this happened. So with that information, the 988 00:54:12,080 --> 00:54:15,319 Speaker 2: coroner says that he's in his head. He's trying to 989 00:54:15,360 --> 00:54:17,480 Speaker 2: show the jury that the Trip family had a habit 990 00:54:17,600 --> 00:54:20,520 Speaker 2: of not following protocol when it comes to reporting deaths, 991 00:54:21,520 --> 00:54:25,000 Speaker 2: which could be the same thing in Sarah's case. So 992 00:54:25,200 --> 00:54:28,759 Speaker 2: if the doctor's correct and Sarah was dead before you 993 00:54:28,800 --> 00:54:31,480 Speaker 2: know she was on the railroad tracks, then it's because 994 00:54:31,640 --> 00:54:35,840 Speaker 2: maybe the Trip family, for some unknown reason, wanted to 995 00:54:35,880 --> 00:54:39,000 Speaker 2: avoid alerting the local authorities, to which I said, come on, 996 00:54:39,600 --> 00:54:42,760 Speaker 2: you mean that they abused her and ended up murdering 997 00:54:42,760 --> 00:54:44,800 Speaker 2: her and they don't want to alert the authorities. I 998 00:54:44,840 --> 00:54:47,839 Speaker 2: think he's just saying they're sketchy to begin with, and 999 00:54:47,880 --> 00:54:49,440 Speaker 2: now we have another death we're dealing with. 1000 00:54:50,000 --> 00:54:53,400 Speaker 3: I think one of the perplexing actions to say a 1001 00:54:53,560 --> 00:54:55,680 Speaker 3: member of the Trip family or multiple members of the 1002 00:54:55,680 --> 00:54:59,600 Speaker 3: Trip family are responsible for Sarah dying. Let's say I'm 1003 00:54:59,600 --> 00:55:03,200 Speaker 3: the proper whether it be accidental, you know, through the 1004 00:55:03,280 --> 00:55:06,600 Speaker 3: abuse and they took it too far or you know, 1005 00:55:06,680 --> 00:55:13,840 Speaker 3: intentional homicide. How the body is disposed is poor, because 1006 00:55:13,920 --> 00:55:17,239 Speaker 3: it's like, well, she's going to be found. You have 1007 00:55:17,320 --> 00:55:21,319 Speaker 3: trains on the tracks all the time, so it's not 1008 00:55:21,520 --> 00:55:24,879 Speaker 3: like they're hiding her body to try to and then 1009 00:55:24,920 --> 00:55:28,600 Speaker 3: reporting her missing and she's just never found. The only 1010 00:55:28,640 --> 00:55:32,440 Speaker 3: thing I can think of is the thought that the 1011 00:55:32,560 --> 00:55:35,840 Speaker 3: train would do so much damage to her body that 1012 00:55:35,920 --> 00:55:40,080 Speaker 3: any evidence of homicide would be covered up and they 1013 00:55:40,120 --> 00:55:43,120 Speaker 3: would hope that this would just quickly be ruled an accident. 1014 00:55:43,760 --> 00:55:47,120 Speaker 3: Hopefully they get into the trip's homestead and they look 1015 00:55:47,239 --> 00:55:48,840 Speaker 3: for a homicide scene. 1016 00:55:49,360 --> 00:55:53,560 Speaker 1: Well no, oh, doesn't sound like it. Sorry. 1017 00:55:53,680 --> 00:55:55,680 Speaker 2: I mean, we can count on the corner for a 1018 00:55:55,719 --> 00:55:59,000 Speaker 2: lot of stuff, and apparently Agent Paramus for nothing. But 1019 00:55:59,360 --> 00:56:01,960 Speaker 2: he does not do that that I know of. There 1020 00:56:01,960 --> 00:56:06,880 Speaker 2: are five weeks of testimony's forty witnesses, and finally they 1021 00:56:06,880 --> 00:56:10,279 Speaker 2: wrap up the jurorsay murder and there are four indictments 1022 00:56:10,480 --> 00:56:14,120 Speaker 2: for Henry the father, Matilda the mother, Lauren the son, 1023 00:56:14,400 --> 00:56:18,200 Speaker 2: and Iva, who is the sister, so it's the four 1024 00:56:18,239 --> 00:56:20,840 Speaker 2: family members. This seems like the end of the case, 1025 00:56:21,000 --> 00:56:26,320 Speaker 2: and it technically is. It's an unsolved case. But Michelle Graff, 1026 00:56:26,440 --> 00:56:30,360 Speaker 2: who is the author who wrote this book, has a theory, 1027 00:56:30,880 --> 00:56:33,839 Speaker 2: and I want you to tell me what you think 1028 00:56:33,840 --> 00:56:34,960 Speaker 2: about this theory. 1029 00:56:35,040 --> 00:56:36,640 Speaker 1: She did so much digging. I have to give her 1030 00:56:36,680 --> 00:56:37,560 Speaker 1: a lot of credit for this. 1031 00:56:38,239 --> 00:56:41,520 Speaker 2: The motive is what lingers for people, I think, and 1032 00:56:41,560 --> 00:56:42,560 Speaker 2: it did for Michelle. 1033 00:56:43,080 --> 00:56:45,000 Speaker 1: So she is researching the case. 1034 00:56:45,160 --> 00:56:48,879 Speaker 2: She's looking into upstate newspaper archives from upstate New York. 1035 00:56:48,920 --> 00:56:51,279 Speaker 2: She finds a piece of reporting from nineteen hundred that 1036 00:56:51,360 --> 00:56:55,120 Speaker 2: jumps out. It's not very detailed, but it notes that 1037 00:56:55,360 --> 00:56:59,520 Speaker 2: Lauren and his wife Carrie Tripp had lost an eleven 1038 00:56:59,640 --> 00:57:04,319 Speaker 2: month old baby named Clarence on March second of that 1039 00:57:04,480 --> 00:57:08,440 Speaker 2: year of nineteen hundred. His cause of death is documented 1040 00:57:08,520 --> 00:57:14,560 Speaker 2: as measles and meningitis. So, based on his age, Clarence 1041 00:57:14,600 --> 00:57:18,919 Speaker 2: would have been born in early April eighteen ninety nine. 1042 00:57:19,600 --> 00:57:24,280 Speaker 2: And you remember Sarah died June. So what, Michelle wonders. 1043 00:57:24,920 --> 00:57:29,480 Speaker 2: She confirms this with the child Clarence's birth certificate, which 1044 00:57:29,480 --> 00:57:32,760 Speaker 2: she manages to track down, which lists the baby as 1045 00:57:32,880 --> 00:57:36,280 Speaker 2: named Raymond, not Clarence, which is odd already to begin with. 1046 00:57:36,800 --> 00:57:40,680 Speaker 2: But Clarence's existence never seems to come up in any 1047 00:57:40,760 --> 00:57:44,280 Speaker 2: of the reporting on Sarah's case. So what Michelle Graff 1048 00:57:44,400 --> 00:57:47,960 Speaker 2: is wondering is this is something that probably should have 1049 00:57:47,960 --> 00:57:55,360 Speaker 2: been investigated. What if Clarence was Sarah's baby and the 1050 00:57:55,480 --> 00:57:58,360 Speaker 2: Trips didn't want the scandal. They were hoping to cover 1051 00:57:58,480 --> 00:58:00,680 Speaker 2: up a sexual assault within the family, which would be 1052 00:58:00,760 --> 00:58:03,720 Speaker 2: Lauren the son, so they lied on the birth certificate 1053 00:58:03,800 --> 00:58:06,520 Speaker 2: and they claim that Carrie, who was the. 1054 00:58:06,440 --> 00:58:09,439 Speaker 1: Wife, was actually this little boy's mother. 1055 00:58:10,240 --> 00:58:14,000 Speaker 2: What she says is when residents insisted that Sarah had 1056 00:58:14,000 --> 00:58:17,600 Speaker 2: been pregnant, you know, did the corner seem like everybody else, 1057 00:58:17,600 --> 00:58:20,080 Speaker 2: that she had been pregnant when she died, so that 1058 00:58:20,200 --> 00:58:23,320 Speaker 2: rumor that went around when the autopsy proved otherwise, did 1059 00:58:23,360 --> 00:58:28,240 Speaker 2: he wrongly assume that this story had no merit? So 1060 00:58:28,720 --> 00:58:31,400 Speaker 2: what Michelle is saying is that rumor that went around 1061 00:58:31,680 --> 00:58:34,200 Speaker 2: that was kind of connected to the sexual assault potential 1062 00:58:34,240 --> 00:58:38,600 Speaker 2: sexual assault from the teenagers. Maybe that rumor was older 1063 00:58:38,640 --> 00:58:42,080 Speaker 2: than we think and that Sarah had been pregnant. And 1064 00:58:42,120 --> 00:58:46,240 Speaker 2: she's actually it sounds like pretty convinced that both of 1065 00:58:46,280 --> 00:58:51,680 Speaker 2: these babies might have been Sarah's because they had little tombstones, 1066 00:58:52,080 --> 00:58:55,400 Speaker 2: and the tombstones are very very vague about who the 1067 00:58:55,480 --> 00:58:58,160 Speaker 2: child belongs to. And so I think it's just a 1068 00:58:58,200 --> 00:59:01,240 Speaker 2: theory that she pops out if you're looking for motive. 1069 00:59:01,480 --> 00:59:04,360 Speaker 3: It would not shock me at all that this is 1070 00:59:04,400 --> 00:59:08,440 Speaker 3: what is going on now. Yeah, from trying to figure 1071 00:59:08,480 --> 00:59:13,560 Speaker 3: that out. You know, for Clarence, you mean Sarah would 1072 00:59:13,600 --> 00:59:17,280 Speaker 3: have taken Clarence full term. You know, do we have 1073 00:59:17,360 --> 00:59:21,600 Speaker 3: witness statements saying, you know, they saw Sarah during this 1074 00:59:21,840 --> 00:59:24,720 Speaker 3: nine month pregnancy to say, yeah, she looked like she 1075 00:59:24,840 --> 00:59:29,000 Speaker 3: was pregnant and with the other baby too. Now you 1076 00:59:29,400 --> 00:59:33,960 Speaker 3: have two adult males on this homestead. You have Henry 1077 00:59:34,040 --> 00:59:36,760 Speaker 3: and you have Lauren. Either one of them could be 1078 00:59:36,800 --> 00:59:40,280 Speaker 3: in play as having fathered the babies. And you think, 1079 00:59:40,280 --> 00:59:43,600 Speaker 3: if Henry is abusing Sarah, and let's say he's sexually 1080 00:59:43,640 --> 00:59:46,040 Speaker 3: abusing her, and she gets pregnant by Henry, who's sixty 1081 00:59:46,120 --> 00:59:50,120 Speaker 3: nine years old, it almost makes more sense for that 1082 00:59:50,440 --> 00:59:53,240 Speaker 3: baby to be passed off as Laurence because he is 1083 00:59:53,280 --> 00:59:56,280 Speaker 3: of the age in which him and his wife are 1084 00:59:56,280 --> 00:59:59,480 Speaker 3: going to be having kids. Yeah, you know, and it's 1085 00:59:59,480 --> 01:00:02,200 Speaker 3: sort of like dirty family secret. You know, Henry is 1086 01:00:02,200 --> 01:00:05,240 Speaker 3: impregnating the six toad on how old this teenage girl? 1087 01:00:06,680 --> 01:00:09,120 Speaker 3: And we got to cover this up. Well, we have 1088 01:00:09,560 --> 01:00:13,080 Speaker 3: Lauren and his wife and there of child bearing normal 1089 01:00:13,160 --> 01:00:15,280 Speaker 3: child bearing age for that time frame. 1090 01:00:15,480 --> 01:00:17,840 Speaker 2: And it's interesting one of the little stones that they 1091 01:00:17,880 --> 01:00:21,200 Speaker 2: put down, they put one down for Clarence the boy, 1092 01:00:21,600 --> 01:00:26,000 Speaker 2: and it says infant son of Lauren Tripp, who's the father. 1093 01:00:26,440 --> 01:00:27,240 Speaker 1: Yeah, so it. 1094 01:00:27,200 --> 01:00:31,080 Speaker 2: Doesn't mention Carrie, the supposed biological mother, And of course 1095 01:00:31,080 --> 01:00:34,240 Speaker 2: it certainly doesn't mention Sarah. Two points that I wanted 1096 01:00:34,280 --> 01:00:38,240 Speaker 2: to remind you of. Number one, all of these workers 1097 01:00:38,280 --> 01:00:41,360 Speaker 2: who took the stand pretty much unanimously said that for 1098 01:00:41,440 --> 01:00:45,880 Speaker 2: the past year Sarah had been very isolated, which. 1099 01:00:45,600 --> 01:00:47,920 Speaker 1: To me means we didn't see much of her. 1100 01:00:48,240 --> 01:00:51,560 Speaker 3: Yeah. Yeah, and that may have been to prevent people 1101 01:00:51,600 --> 01:00:52,800 Speaker 3: seeing that she was pregnant. 1102 01:00:53,200 --> 01:00:55,080 Speaker 2: Yeah, And it could have been the case before. I 1103 01:00:55,120 --> 01:00:57,560 Speaker 2: don't know, you know, with the other baby with Susan. 1104 01:00:58,000 --> 01:01:00,360 Speaker 3: Well, this is where you know, I go back to 1105 01:01:01,440 --> 01:01:07,880 Speaker 3: doctor Loomis, who did the formal autopsy, if Sarah had 1106 01:01:08,480 --> 01:01:13,760 Speaker 3: given birth two months prior to Clarence. I wonder if, 1107 01:01:14,120 --> 01:01:18,080 Speaker 3: because pathologists are able to determine if a woman has 1108 01:01:18,200 --> 01:01:20,680 Speaker 3: had been pregnant or has given birth in the past. 1109 01:01:20,880 --> 01:01:24,440 Speaker 3: And I don't know what diagnostic features they use to 1110 01:01:24,480 --> 01:01:27,560 Speaker 3: do that. So I'm wondering if doctor Loomis would have 1111 01:01:27,560 --> 01:01:32,000 Speaker 3: been able to determine that if that had been a question. 1112 01:01:32,520 --> 01:01:35,920 Speaker 2: Yeah, And that's what I think Michelle's point is is 1113 01:01:36,320 --> 01:01:39,040 Speaker 2: she wished doctor Cleveland had followed that train a little 1114 01:01:39,080 --> 01:01:42,000 Speaker 2: bit what the point was, and maybe he was thinking 1115 01:01:42,040 --> 01:01:44,760 Speaker 2: it but didn't want to go there, because he really 1116 01:01:44,800 --> 01:01:48,919 Speaker 2: did question Lauren the father a lot about the death 1117 01:01:48,920 --> 01:01:51,720 Speaker 2: of that little girl, the two month old Susan from 1118 01:01:51,880 --> 01:01:56,560 Speaker 2: two years earlier. And you know, the point was the 1119 01:01:56,600 --> 01:02:00,560 Speaker 2: Trips obviously are willing to break the law cover up 1120 01:02:00,560 --> 01:02:03,200 Speaker 2: a death, and we don't know how Susan died. But 1121 01:02:03,440 --> 01:02:05,800 Speaker 2: Michelle says, I think this might have gone even further 1122 01:02:05,880 --> 01:02:10,120 Speaker 2: than that, and they're covering up some other pretty terrible things. Sure, 1123 01:02:10,480 --> 01:02:13,120 Speaker 2: So you know, Michelle gets a lot of Michelle Graff 1124 01:02:13,120 --> 01:02:14,880 Speaker 2: gets a lot of credit for this, because really that 1125 01:02:15,400 --> 01:02:18,080 Speaker 2: is quite a story and to me makes the most 1126 01:02:18,120 --> 01:02:20,720 Speaker 2: sense out of everything, out of all of it, that 1127 01:02:20,760 --> 01:02:21,480 Speaker 2: makes the most. 1128 01:02:21,320 --> 01:02:25,600 Speaker 3: Sense depending on the state of the remains, we could 1129 01:02:25,600 --> 01:02:26,920 Speaker 3: answer that question today. 1130 01:02:27,600 --> 01:02:28,800 Speaker 1: I was thinking about that too. 1131 01:02:29,320 --> 01:02:31,800 Speaker 2: I also think, Paul, tell me if you agree with this, 1132 01:02:31,920 --> 01:02:35,560 Speaker 2: I also think this could be a case of people 1133 01:02:35,680 --> 01:02:39,280 Speaker 2: know what happened, and it's passed through the family somehow. 1134 01:02:39,280 --> 01:02:42,160 Speaker 2: It's like the dirty secret that whoever the relatives of 1135 01:02:42,200 --> 01:02:44,920 Speaker 2: the Trips are now might have known, or there were 1136 01:02:44,960 --> 01:02:47,840 Speaker 2: notes and they're in an attic somewhere. Let me tell 1137 01:02:47,880 --> 01:02:51,640 Speaker 2: you a couple of other little tidbits. So you know, 1138 01:02:51,760 --> 01:02:54,920 Speaker 2: after this, the Trips were kind of driven out of town. 1139 01:02:55,600 --> 01:02:58,600 Speaker 2: They eventually had to leave. They set up somewhere else, 1140 01:02:59,200 --> 01:03:04,760 Speaker 2: and later Carrie, the wife, divorces Lauren. He was very abusive, 1141 01:03:04,960 --> 01:03:07,400 Speaker 2: is what she says. She goes back to Michigan. Now 1142 01:03:07,400 --> 01:03:09,800 Speaker 2: tell me if this means anything to you, So she 1143 01:03:09,840 --> 01:03:13,439 Speaker 2: goes back to Michigan. She dies in eighteen seventy nine, 1144 01:03:14,200 --> 01:03:16,320 Speaker 2: so that is boy, she must have been really old. 1145 01:03:16,560 --> 01:03:20,160 Speaker 2: It's eighty years past all of this happening. The obituary 1146 01:03:20,200 --> 01:03:24,800 Speaker 2: that's printed for Carrie doesn't mention either of those two kids, 1147 01:03:24,960 --> 01:03:27,439 Speaker 2: but it does mention the other kids that she had 1148 01:03:27,680 --> 01:03:31,040 Speaker 2: with Lauren, but not Clarence and not Susan. 1149 01:03:31,440 --> 01:03:35,400 Speaker 3: You know, there may be something to that. I think 1150 01:03:36,120 --> 01:03:41,560 Speaker 3: talking to children of Carrie, they may have divulged some 1151 01:03:41,680 --> 01:03:46,160 Speaker 3: of these family secrets in family stories over the years. 1152 01:03:46,760 --> 01:03:50,000 Speaker 2: Yeah, family secrets it's a big one, and we've had 1153 01:03:50,200 --> 01:03:52,000 Speaker 2: a decent amount of those cases. 1154 01:03:52,320 --> 01:03:53,200 Speaker 1: But this is what I mean. 1155 01:03:53,280 --> 01:03:56,000 Speaker 2: I find this so fascinating in the eighteen hundreds. Why 1156 01:03:56,080 --> 01:03:59,640 Speaker 2: I love this century so much, because sometimes we have 1157 01:03:59,720 --> 01:04:03,320 Speaker 2: enough information to be able to tell what happened with 1158 01:04:03,440 --> 01:04:07,320 Speaker 2: cause of death. Sometimes we have really smart investigators. Sometimes 1159 01:04:07,320 --> 01:04:10,200 Speaker 2: we're both really surprised about what they were able to do. 1160 01:04:10,520 --> 01:04:13,480 Speaker 2: And I think that coroner Cleveland did a really good 1161 01:04:13,600 --> 01:04:16,520 Speaker 2: job here, and maybe this would have been too much 1162 01:04:16,560 --> 01:04:19,960 Speaker 2: to wrap his head around, but he clearly had suspicions 1163 01:04:20,000 --> 01:04:22,960 Speaker 2: about Lauren to begin with. It's a hard story for 1164 01:04:23,080 --> 01:04:26,080 Speaker 2: me because when we go back to the victim, like 1165 01:04:26,120 --> 01:04:27,960 Speaker 2: we always try to do, and you think about this 1166 01:04:28,040 --> 01:04:31,120 Speaker 2: young woman's life, which is a young woman that is 1167 01:04:31,160 --> 01:04:35,400 Speaker 2: alive today somewhere around where things are terrible, things are happening, 1168 01:04:35,440 --> 01:04:38,640 Speaker 2: you know, and she lives this really difficult life. She 1169 01:04:38,680 --> 01:04:42,720 Speaker 2: works NonStop, she I'm sure feels like an outcast, she's abused, 1170 01:04:42,880 --> 01:04:47,880 Speaker 2: and then she dies in some way so tragically. Just 1171 01:04:48,240 --> 01:04:51,920 Speaker 2: a bad, bad ending for someone who is a teenager 1172 01:04:52,000 --> 01:04:53,920 Speaker 2: who we have no idea what she could have done 1173 01:04:54,160 --> 01:04:57,360 Speaker 2: had she not been taken in by the wrong family. 1174 01:04:57,840 --> 01:05:03,720 Speaker 3: No absolutely, you know, and and you know, from my perspective, 1175 01:05:03,800 --> 01:05:08,240 Speaker 3: I think it's it's pretty obvious she was killed by 1176 01:05:08,560 --> 01:05:11,160 Speaker 3: somebody within the Trip family, and she was killed in 1177 01:05:11,200 --> 01:05:14,360 Speaker 3: a way in which she bled out, and that could 1178 01:05:14,360 --> 01:05:19,160 Speaker 3: be a cutthroat that could be massive, you know, head injury. 1179 01:05:20,320 --> 01:05:23,480 Speaker 3: This is where, yes, the coroner, you know, he really 1180 01:05:23,520 --> 01:05:28,520 Speaker 3: pursued things to determine the manner of death. But he 1181 01:05:28,600 --> 01:05:33,200 Speaker 3: wasn't a homicide investigator, and there's probably some things that 1182 01:05:34,040 --> 01:05:37,360 Speaker 3: a bona fide homicide investigator would have been able to 1183 01:05:37,440 --> 01:05:40,880 Speaker 3: key in on very quickly in this case if they 1184 01:05:40,920 --> 01:05:43,680 Speaker 3: had done things sort of in the right time frame, 1185 01:05:44,160 --> 01:05:48,400 Speaker 3: do the proper autopsy right away, you know, get onto 1186 01:05:48,440 --> 01:05:50,600 Speaker 3: that homestead and do a search. 1187 01:05:51,600 --> 01:05:52,640 Speaker 1: So I agree. 1188 01:05:53,400 --> 01:05:55,920 Speaker 2: So for the next episode, I'm hoping for two things. 1189 01:05:55,960 --> 01:06:00,840 Speaker 2: Photos for your sake, that'd be great us for your sake, 1190 01:06:00,960 --> 01:06:03,800 Speaker 2: and for both of us, good investigators who have some 1191 01:06:03,920 --> 01:06:06,600 Speaker 2: experience working whatever kind of case we're going to come 1192 01:06:06,640 --> 01:06:08,200 Speaker 2: across next awesome. 1193 01:06:08,320 --> 01:06:10,800 Speaker 3: Well, once again, thank you, and I'm looking forward to 1194 01:06:10,880 --> 01:06:11,320 Speaker 3: the next one. 1195 01:06:11,400 --> 01:06:12,280 Speaker 1: We'll see you next week. 1196 01:06:12,520 --> 01:06:13,040 Speaker 3: Sounds good. 1197 01:06:17,160 --> 01:06:19,840 Speaker 1: This has been an exactly right production for. 1198 01:06:19,800 --> 01:06:23,240 Speaker 3: Our sources and show notes go to Exactlyrightmedia dot com 1199 01:06:23,280 --> 01:06:25,080 Speaker 3: slash Buried Bones sources. 1200 01:06:25,280 --> 01:06:27,640 Speaker 1: Our senior producer is Alexis Emosi. 1201 01:06:27,920 --> 01:06:32,160 Speaker 3: Research by Maren mcclashan, Ali Elkin, and Kate Winkler Dawson. 1202 01:06:32,440 --> 01:06:34,720 Speaker 1: Our mixing engineer is Ben Tolliday. 1203 01:06:35,000 --> 01:06:37,280 Speaker 3: Our theme song is by Tom Bryfogel. 1204 01:06:37,520 --> 01:06:39,560 Speaker 1: Our artwork is by Vanessa Lilac. 1205 01:06:39,840 --> 01:06:43,960 Speaker 3: Executive produced by Karen Kilgarriff, Georgia hard Stark and Danielle Kramer. 1206 01:06:44,240 --> 01:06:47,600 Speaker 2: You can follow Buried Bones on Instagram and Facebook at 1207 01:06:47,720 --> 01:06:48,880 Speaker 2: buried Bones pod. 1208 01:06:49,320 --> 01:06:51,840 Speaker 3: Kate's most recent book, All That Is Wicked, a Gilded 1209 01:06:51,880 --> 01:06:53,920 Speaker 3: Age story of murder and the race to decode the 1210 01:06:53,920 --> 01:06:55,720 Speaker 3: criminal mind, is available now 1211 01:06:56,040 --> 01:06:59,680 Speaker 2: And Paul's best selling memoir Unmasked My Life Solving a 1212 01:06:59,720 --> 01:07:02,360 Speaker 2: Marya Because Cold Cases is also available now